From f5b804a4b27e0ef4b6731e141680825e5a135830 Mon Sep 17 00:00:00 2001 From: ryanmrichard Date: Wed, 8 Jan 2025 17:53:59 +0000 Subject: [PATCH] deploy: f36f194e1feaa72f753e8f206de3734c54626f7f --- .../allocator_2eigen_8hpp_source.html | 6 +- .../allocator_2local_8hpp_source.html | 2 +- .../allocator_2replicated_8hpp_source.html | 2 +- .../allocator_8hpp_source.html | 2 +- .../allocator__base_8hpp_source.html | 2 +- tensorwrapper_cxx_api/annotated.html | 71 +- .../backends_2eigen_8hpp_source.html | 2 +- .../backends_8hpp_source.html | 2 +- .../buffer_2eigen_8hpp_source.html | 186 +++-- .../buffer_2local_8hpp_source.html | 4 +- .../buffer_2replicated_8hpp_source.html | 2 +- tensorwrapper_cxx_api/buffer_8hpp_source.html | 2 +- .../buffer__base_8hpp_source.html | 207 ++---- .../buffer__fwd_8hpp_source.html | 2 +- tensorwrapper_cxx_api/classes.html | 4 +- .../classtensorwrapper_1_1Tensor-members.html | 8 +- .../classtensorwrapper_1_1Tensor.html | 98 +-- ...1_1allocator_1_1AllocatorBase-members.html | 53 +- ...wrapper_1_1allocator_1_1AllocatorBase.html | 9 +- ...wrapper_1_1allocator_1_1Eigen-members.html | 83 +-- ...sstensorwrapper_1_1allocator_1_1Eigen.html | 9 +- ...wrapper_1_1allocator_1_1Local-members.html | 53 +- ...sstensorwrapper_1_1allocator_1_1Local.html | 9 +- ...er_1_1allocator_1_1Replicated-members.html | 53 +- ...sorwrapper_1_1allocator_1_1Replicated.html | 9 +- ...apper_1_1buffer_1_1BufferBase-members.html | 43 +- ...tensorwrapper_1_1buffer_1_1BufferBase.html | 334 +-------- ...sorwrapper_1_1buffer_1_1Eigen-members.html | 59 +- ...classtensorwrapper_1_1buffer_1_1Eigen.html | 48 +- ...sorwrapper_1_1buffer_1_1Local-members.html | 43 +- ...classtensorwrapper_1_1buffer_1_1Local.html | 51 +- ...apper_1_1buffer_1_1Replicated-members.html | 43 +- ...tensorwrapper_1_1buffer_1_1Replicated.html | 51 +- ...rapper_1_1detail___1_1DSLBase-members.html | 105 +++ ...stensorwrapper_1_1detail___1_1DSLBase.html | 571 +++++++++++++++ ..._1detail___1_1PolymorphicBase-members.html | 27 +- ...rapper_1_1detail___1_1PolymorphicBase.html | 13 +- ..._1_1detail___1_1TensorFactory-members.html | 2 +- ...rwrapper_1_1detail___1_1TensorFactory.html | 2 +- ...er_1_1detail___1_1TensorPIMPL-members.html | 2 +- ...sorwrapper_1_1detail___1_1TensorPIMPL.html | 2 +- ...rapper_1_1dsl_1_1DummyIndices-members.html | 12 +- ...stensorwrapper_1_1dsl_1_1DummyIndices.html | 380 +++++++++- ...nsorwrapper_1_1dsl_1_1Labeled-members.html | 33 +- .../classtensorwrapper_1_1dsl_1_1Labeled.html | 659 +++++++++++++++--- ...wrapper_1_1dsl_1_1Labeled__coll__graph.map | 6 +- ...wrapper_1_1dsl_1_1Labeled__coll__graph.md5 | 2 +- ...wrapper_1_1dsl_1_1Labeled__coll__graph.png | Bin 7990 -> 8198 bytes ...pper_1_1dsl_1_1Labeled__inherit__graph.map | 6 +- ...pper_1_1dsl_1_1Labeled__inherit__graph.md5 | 2 +- ...pper_1_1dsl_1_1Labeled__inherit__graph.png | Bin 7990 -> 8198 bytes ...pper_1_1dsl_1_1PairwiseParser-members.html | 14 +- ...ensorwrapper_1_1dsl_1_1PairwiseParser.html | 223 ++++-- ...apper_1_1layout_1_1LayoutBase-members.html | 81 +-- ...tensorwrapper_1_1layout_1_1LayoutBase.html | 9 +- ...rwrapper_1_1layout_1_1Logical-members.html | 89 +-- ...asstensorwrapper_1_1layout_1_1Logical.html | 9 +- ...wrapper_1_1layout_1_1Physical-members.html | 89 +-- ...sstensorwrapper_1_1layout_1_1Physical.html | 9 +- ...wrapper_1_1shape_1_1ShapeBase-members.html | 46 +- ...sstensorwrapper_1_1shape_1_1ShapeBase.html | 117 +++- ...per_1_1shape_1_1ShapeBase__coll__graph.map | 3 +- ...per_1_1shape_1_1ShapeBase__coll__graph.md5 | 2 +- ...per_1_1shape_1_1ShapeBase__coll__graph.png | Bin 6677 -> 9624 bytes ..._1_1shape_1_1ShapeBase__inherit__graph.map | 5 +- ..._1_1shape_1_1ShapeBase__inherit__graph.md5 | 2 +- ..._1_1shape_1_1ShapeBase__inherit__graph.png | Bin 9465 -> 11942 bytes ...sorwrapper_1_1shape_1_1Smooth-members.html | 96 ++- ...classtensorwrapper_1_1shape_1_1Smooth.html | 142 +++- ...rapper_1_1shape_1_1SmoothView-members.html | 2 +- ...stensorwrapper_1_1shape_1_1SmoothView.html | 2 +- ...rapper_1_1shape_1_1Smooth__coll__graph.map | 5 +- ...rapper_1_1shape_1_1Smooth__coll__graph.md5 | 2 +- ...rapper_1_1shape_1_1Smooth__coll__graph.png | Bin 9545 -> 12018 bytes ...per_1_1shape_1_1Smooth__inherit__graph.map | 5 +- ...per_1_1shape_1_1Smooth__inherit__graph.md5 | 2 +- ...per_1_1shape_1_1Smooth__inherit__graph.png | Bin 9545 -> 12018 bytes ...pe_1_1detail___1_1SmoothAlias-members.html | 55 +- ...r_1_1shape_1_1detail___1_1SmoothAlias.html | 9 +- ..._1detail___1_1SmoothViewPIMPL-members.html | 47 +- ...1shape_1_1detail___1_1SmoothViewPIMPL.html | 9 +- ...rapper_1_1sparsity_1_1Pattern-members.html | 51 +- ...stensorwrapper_1_1sparsity_1_1Pattern.html | 298 +++++++- ...er_1_1sparsity_1_1Pattern__coll__graph.map | 5 + ...er_1_1sparsity_1_1Pattern__coll__graph.md5 | 1 + ...er_1_1sparsity_1_1Pattern__coll__graph.png | Bin 0 -> 9670 bytes ...1_1sparsity_1_1Pattern__inherit__graph.map | 5 + ...1_1sparsity_1_1Pattern__inherit__graph.md5 | 1 + ...1_1sparsity_1_1Pattern__inherit__graph.png | Bin 0 -> 9670 bytes ...rwrapper_1_1symmetry_1_1Group-members.html | 65 +- ...asstensorwrapper_1_1symmetry_1_1Group.html | 371 +++++++++- ...pper_1_1symmetry_1_1Group__coll__graph.map | 6 +- ...pper_1_1symmetry_1_1Group__coll__graph.md5 | 2 +- ...pper_1_1symmetry_1_1Group__coll__graph.png | Bin 5851 -> 15517 bytes ...r_1_1symmetry_1_1Group__inherit__graph.map | 6 +- ...r_1_1symmetry_1_1Group__inherit__graph.md5 | 2 +- ...r_1_1symmetry_1_1Group__inherit__graph.png | Bin 5851 -> 15517 bytes ...pper_1_1symmetry_1_1Operation-members.html | 37 +- ...ensorwrapper_1_1symmetry_1_1Operation.html | 16 +- ...er_1_1symmetry_1_1Permutation-members.html | 34 +- ...sorwrapper_1_1symmetry_1_1Permutation.html | 124 ++-- .../detail___8hpp_source.html | 2 +- .../dir_0653980ded186e5bbc80abd4608ff901.html | 2 +- .../dir_208989b7d56f3f884773be54d832433a.html | 2 +- .../dir_41bb1742ebe52fc97a400dd50965c78e.html | 2 +- .../dir_46bd36d1e8bbdba3a41b13c1c713b182.html | 2 +- .../dir_68267d1309a1af8e8297ef4c3efbcdba.html | 2 +- .../dir_6a4f40dd92881343dc355cb269717bbc.html | 2 +- .../dir_6bc4b8a678f57df57aa7b525c30dc0f4.html | 2 +- .../dir_76201cc85d9781b2c21bcbd099393a93.html | 2 +- .../dir_7c3c95e4d293030b4c043e30c0c582e6.html | 2 +- .../dir_7d9f54af77c327bb07b78871c465ff60.html | 2 +- .../dir_8b3afd173d473129b279aff842139364.html | 2 +- .../dir_90f75595a9dc81fa976238fda279febe.html | 2 +- .../dir_9aa77ef16e8bcc018274450a9bca8594.html | 2 +- .../dir_a3117351ea9a883ecfd9291c2ea198c1.html | 2 +- .../dir_a3ef7787234d276598f190de2d036010.html | 2 +- .../dir_b851f65e215a286503163f79cf545269.html | 2 +- .../dir_bdd93c5f6f8ed155dab40afc437ac083.html | 79 +++ .../dir_c211ed982e4850870a1d17c6935f753d.html | 2 +- .../dir_c2cb061ec8f9f9671fc1c8360a7a9301.html | 8 +- .../dir_c8a35d51a929fbc21e8cdaea143f2007.html | 2 +- .../dir_c9230bacb3ac6fa15114b97aeb5f98de.html | 2 +- .../dir_d44c64559bbebec7f509842c48db8b23.html | 2 +- .../dir_f3116568fd16e4754ad4c6036dad69b2.html | 2 +- .../dir_fed4bdc40aaa0dda36bfd9f4578476c1.html | 2 +- tensorwrapper_cxx_api/dsl_8hpp_source.html | 2 +- .../dsl__base_8hpp_source.html | 255 +++++++ tensorwrapper_cxx_api/dsl__base_8ipp.html | 140 ++++ .../dsl__base_8ipp__dep__incl.map | 32 + .../dsl__base_8ipp__dep__incl.md5 | 1 + .../dsl__base_8ipp__dep__incl.png | Bin 0 -> 180615 bytes .../dsl__forward_8hpp_source.html | 9 +- .../dummy__indices_8hpp_source.html | 286 +++++--- tensorwrapper_cxx_api/files.html | 10 +- tensorwrapper_cxx_api/functions.html | 17 +- tensorwrapper_cxx_api/functions_b.html | 5 +- tensorwrapper_cxx_api/functions_c.html | 22 +- tensorwrapper_cxx_api/functions_d.html | 22 +- tensorwrapper_cxx_api/functions_e.html | 2 +- tensorwrapper_cxx_api/functions_f.html | 2 +- tensorwrapper_cxx_api/functions_func.html | 15 +- tensorwrapper_cxx_api/functions_func_b.html | 2 +- tensorwrapper_cxx_api/functions_func_c.html | 10 +- tensorwrapper_cxx_api/functions_func_d.html | 4 +- tensorwrapper_cxx_api/functions_func_e.html | 2 +- tensorwrapper_cxx_api/functions_func_f.html | 2 +- tensorwrapper_cxx_api/functions_func_g.html | 2 +- tensorwrapper_cxx_api/functions_func_h.html | 5 +- tensorwrapper_cxx_api/functions_func_i.html | 8 +- tensorwrapper_cxx_api/functions_func_l.html | 7 +- tensorwrapper_cxx_api/functions_func_m.html | 12 +- tensorwrapper_cxx_api/functions_func_o.html | 14 +- tensorwrapper_cxx_api/functions_func_p.html | 18 +- tensorwrapper_cxx_api/functions_func_r.html | 6 +- tensorwrapper_cxx_api/functions_func_s.html | 19 +- tensorwrapper_cxx_api/functions_func_t.html | 4 +- tensorwrapper_cxx_api/functions_func_u.html | 2 +- tensorwrapper_cxx_api/functions_func_v.html | 2 +- tensorwrapper_cxx_api/functions_func_~.html | 5 +- tensorwrapper_cxx_api/functions_g.html | 2 +- tensorwrapper_cxx_api/functions_h.html | 5 +- tensorwrapper_cxx_api/functions_i.html | 8 +- tensorwrapper_cxx_api/functions_l.html | 27 +- tensorwrapper_cxx_api/functions_m.html | 17 +- tensorwrapper_cxx_api/functions_o.html | 21 +- tensorwrapper_cxx_api/functions_p.html | 21 +- tensorwrapper_cxx_api/functions_r.html | 6 +- tensorwrapper_cxx_api/functions_rela.html | 2 +- tensorwrapper_cxx_api/functions_s.html | 26 +- tensorwrapper_cxx_api/functions_t.html | 6 +- tensorwrapper_cxx_api/functions_type.html | 71 +- tensorwrapper_cxx_api/functions_u.html | 2 +- tensorwrapper_cxx_api/functions_v.html | 2 +- tensorwrapper_cxx_api/functions_vars.html | 2 +- tensorwrapper_cxx_api/functions_~.html | 5 +- tensorwrapper_cxx_api/graph_legend.html | 2 +- tensorwrapper_cxx_api/group_8hpp_source.html | 271 ++++--- tensorwrapper_cxx_api/hierarchy.html | 105 +-- .../il__utils_8hpp_source.html | 2 +- tensorwrapper_cxx_api/index.html | 2 +- tensorwrapper_cxx_api/inherit_graph_0.map | 3 +- tensorwrapper_cxx_api/inherit_graph_0.md5 | 2 +- tensorwrapper_cxx_api/inherit_graph_0.png | Bin 4810 -> 4229 bytes tensorwrapper_cxx_api/inherit_graph_1.map | 8 +- tensorwrapper_cxx_api/inherit_graph_1.md5 | 2 +- tensorwrapper_cxx_api/inherit_graph_1.png | Bin 4287 -> 21054 bytes tensorwrapper_cxx_api/inherit_graph_10.map | 4 +- tensorwrapper_cxx_api/inherit_graph_10.md5 | 2 +- tensorwrapper_cxx_api/inherit_graph_10.png | Bin 2112 -> 4790 bytes tensorwrapper_cxx_api/inherit_graph_11.map | 4 +- tensorwrapper_cxx_api/inherit_graph_11.md5 | 2 +- tensorwrapper_cxx_api/inherit_graph_11.png | Bin 2237 -> 9133 bytes tensorwrapper_cxx_api/inherit_graph_12.map | 4 +- tensorwrapper_cxx_api/inherit_graph_12.md5 | 2 +- tensorwrapper_cxx_api/inherit_graph_12.png | Bin 9361 -> 2230 bytes tensorwrapper_cxx_api/inherit_graph_13.map | 3 +- tensorwrapper_cxx_api/inherit_graph_13.md5 | 2 +- tensorwrapper_cxx_api/inherit_graph_13.png | Bin 5373 -> 2112 bytes tensorwrapper_cxx_api/inherit_graph_14.map | 2 +- tensorwrapper_cxx_api/inherit_graph_14.md5 | 2 +- tensorwrapper_cxx_api/inherit_graph_14.png | Bin 3909 -> 2237 bytes tensorwrapper_cxx_api/inherit_graph_15.map | 4 +- tensorwrapper_cxx_api/inherit_graph_15.md5 | 2 +- tensorwrapper_cxx_api/inherit_graph_15.png | Bin 4699 -> 5602 bytes tensorwrapper_cxx_api/inherit_graph_16.map | 3 +- tensorwrapper_cxx_api/inherit_graph_16.md5 | 2 +- tensorwrapper_cxx_api/inherit_graph_16.png | Bin 3949 -> 2164 bytes tensorwrapper_cxx_api/inherit_graph_17.map | 3 +- tensorwrapper_cxx_api/inherit_graph_17.md5 | 2 +- tensorwrapper_cxx_api/inherit_graph_17.png | Bin 2642 -> 4699 bytes tensorwrapper_cxx_api/inherit_graph_18.map | 3 +- tensorwrapper_cxx_api/inherit_graph_18.md5 | 2 +- tensorwrapper_cxx_api/inherit_graph_18.png | Bin 3508 -> 3949 bytes tensorwrapper_cxx_api/inherit_graph_19.map | 2 +- tensorwrapper_cxx_api/inherit_graph_19.md5 | 2 +- tensorwrapper_cxx_api/inherit_graph_19.png | Bin 2979 -> 2642 bytes tensorwrapper_cxx_api/inherit_graph_2.map | 8 +- tensorwrapper_cxx_api/inherit_graph_2.md5 | 2 +- tensorwrapper_cxx_api/inherit_graph_2.png | Bin 12220 -> 9176 bytes tensorwrapper_cxx_api/inherit_graph_20.map | 2 +- tensorwrapper_cxx_api/inherit_graph_20.md5 | 2 +- tensorwrapper_cxx_api/inherit_graph_20.png | Bin 2519 -> 3508 bytes tensorwrapper_cxx_api/inherit_graph_21.map | 2 +- tensorwrapper_cxx_api/inherit_graph_21.md5 | 2 +- tensorwrapper_cxx_api/inherit_graph_21.png | Bin 1540 -> 2979 bytes tensorwrapper_cxx_api/inherit_graph_22.map | 3 + tensorwrapper_cxx_api/inherit_graph_22.md5 | 1 + tensorwrapper_cxx_api/inherit_graph_22.png | Bin 0 -> 1540 bytes tensorwrapper_cxx_api/inherit_graph_3.map | 5 +- tensorwrapper_cxx_api/inherit_graph_3.md5 | 2 +- tensorwrapper_cxx_api/inherit_graph_3.png | Bin 3127 -> 10629 bytes tensorwrapper_cxx_api/inherit_graph_4.map | 7 +- tensorwrapper_cxx_api/inherit_graph_4.md5 | 2 +- tensorwrapper_cxx_api/inherit_graph_4.png | Bin 7506 -> 4810 bytes tensorwrapper_cxx_api/inherit_graph_5.map | 6 +- tensorwrapper_cxx_api/inherit_graph_5.md5 | 2 +- tensorwrapper_cxx_api/inherit_graph_5.png | Bin 10115 -> 4287 bytes tensorwrapper_cxx_api/inherit_graph_6.map | 8 +- tensorwrapper_cxx_api/inherit_graph_6.md5 | 2 +- tensorwrapper_cxx_api/inherit_graph_6.png | Bin 4790 -> 12220 bytes tensorwrapper_cxx_api/inherit_graph_7.map | 4 +- tensorwrapper_cxx_api/inherit_graph_7.md5 | 2 +- tensorwrapper_cxx_api/inherit_graph_7.png | Bin 4540 -> 3127 bytes tensorwrapper_cxx_api/inherit_graph_8.map | 8 +- tensorwrapper_cxx_api/inherit_graph_8.md5 | 2 +- tensorwrapper_cxx_api/inherit_graph_8.png | Bin 9133 -> 7506 bytes tensorwrapper_cxx_api/inherit_graph_9.map | 5 +- tensorwrapper_cxx_api/inherit_graph_9.md5 | 2 +- tensorwrapper_cxx_api/inherit_graph_9.png | Bin 2230 -> 10115 bytes tensorwrapper_cxx_api/inherits.html | 99 +-- .../labeled_8hpp_source.html | 203 ++++-- tensorwrapper_cxx_api/layout_8hpp_source.html | 2 +- .../layout__base_8hpp_source.html | 12 +- .../logical_8hpp_source.html | 8 +- tensorwrapper_cxx_api/namespacemembers.html | 2 +- .../namespacemembers_func.html | 2 +- .../namespacemembers_type.html | 2 +- .../namespacemembers_vars.html | 2 +- tensorwrapper_cxx_api/namespaces.html | 73 +- .../namespacetensorwrapper.html | 2 +- .../namespacetensorwrapper_1_1allocator.html | 2 +- .../namespacetensorwrapper_1_1buffer.html | 2 +- .../namespacetensorwrapper_1_1detail__.html | 5 +- .../namespacetensorwrapper_1_1layout.html | 2 +- .../namespacetensorwrapper_1_1shape.html | 11 +- .../namespacetensorwrapper_1_1sparsity.html | 11 +- .../namespacetensorwrapper_1_1symmetry.html | 11 +- .../operation_8hpp_source.html | 25 +- .../pairwise__parser_8hpp_source.html | 97 ++- .../pattern_8hpp_source.html | 90 ++- .../permutation_8hpp_source.html | 181 ++--- .../physical_8hpp_source.html | 8 +- .../polymorphic__base_8hpp_source.html | 128 ++-- tensorwrapper_cxx_api/search/all_0.js | 37 +- tensorwrapper_cxx_api/search/all_1.js | 11 +- tensorwrapper_cxx_api/search/all_10.js | 2 +- tensorwrapper_cxx_api/search/all_11.js | 6 +- tensorwrapper_cxx_api/search/all_12.js | 15 +- tensorwrapper_cxx_api/search/all_2.js | 55 +- tensorwrapper_cxx_api/search/all_3.js | 32 +- tensorwrapper_cxx_api/search/all_4.js | 18 +- tensorwrapper_cxx_api/search/all_5.js | 2 +- tensorwrapper_cxx_api/search/all_6.js | 6 +- tensorwrapper_cxx_api/search/all_7.js | 7 +- tensorwrapper_cxx_api/search/all_8.js | 12 +- tensorwrapper_cxx_api/search/all_9.js | 34 +- tensorwrapper_cxx_api/search/all_a.js | 7 +- tensorwrapper_cxx_api/search/all_b.js | 20 +- tensorwrapper_cxx_api/search/all_c.js | 44 +- tensorwrapper_cxx_api/search/all_d.js | 18 +- tensorwrapper_cxx_api/search/all_e.js | 68 +- tensorwrapper_cxx_api/search/all_f.js | 34 +- tensorwrapper_cxx_api/search/classes_0.js | 2 +- tensorwrapper_cxx_api/search/classes_1.js | 2 +- tensorwrapper_cxx_api/search/classes_2.js | 7 +- tensorwrapper_cxx_api/search/classes_3.js | 2 +- tensorwrapper_cxx_api/search/classes_4.js | 2 +- tensorwrapper_cxx_api/search/classes_5.js | 4 +- tensorwrapper_cxx_api/search/classes_6.js | 8 +- tensorwrapper_cxx_api/search/classes_7.js | 2 +- tensorwrapper_cxx_api/search/classes_8.js | 24 +- tensorwrapper_cxx_api/search/classes_9.js | 2 +- tensorwrapper_cxx_api/search/classes_a.js | 22 +- tensorwrapper_cxx_api/search/classes_b.js | 8 +- tensorwrapper_cxx_api/search/files_0.html | 37 + tensorwrapper_cxx_api/search/files_0.js | 4 + tensorwrapper_cxx_api/search/functions_0.js | 33 +- tensorwrapper_cxx_api/search/functions_1.js | 4 +- tensorwrapper_cxx_api/search/functions_10.js | 2 +- tensorwrapper_cxx_api/search/functions_11.js | 2 +- tensorwrapper_cxx_api/search/functions_12.js | 15 +- tensorwrapper_cxx_api/search/functions_2.js | 15 +- tensorwrapper_cxx_api/search/functions_3.js | 16 +- tensorwrapper_cxx_api/search/functions_4.js | 6 +- tensorwrapper_cxx_api/search/functions_5.js | 2 +- tensorwrapper_cxx_api/search/functions_6.js | 6 +- tensorwrapper_cxx_api/search/functions_7.js | 7 +- tensorwrapper_cxx_api/search/functions_8.js | 4 +- tensorwrapper_cxx_api/search/functions_9.js | 9 +- tensorwrapper_cxx_api/search/functions_a.js | 3 +- tensorwrapper_cxx_api/search/functions_b.js | 13 +- tensorwrapper_cxx_api/search/functions_c.js | 12 +- tensorwrapper_cxx_api/search/functions_d.js | 8 +- tensorwrapper_cxx_api/search/functions_e.js | 26 +- tensorwrapper_cxx_api/search/functions_f.js | 10 +- tensorwrapper_cxx_api/search/namespaces_0.js | 16 +- tensorwrapper_cxx_api/search/related_0.js | 2 +- tensorwrapper_cxx_api/search/searchdata.js | 27 +- tensorwrapper_cxx_api/search/typedefs_0.js | 4 +- tensorwrapper_cxx_api/search/typedefs_1.js | 19 +- tensorwrapper_cxx_api/search/typedefs_2.js | 52 +- tensorwrapper_cxx_api/search/typedefs_3.js | 10 +- tensorwrapper_cxx_api/search/typedefs_4.js | 12 +- tensorwrapper_cxx_api/search/typedefs_5.js | 2 +- tensorwrapper_cxx_api/search/typedefs_6.js | 21 +- tensorwrapper_cxx_api/search/typedefs_7.js | 4 +- tensorwrapper_cxx_api/search/typedefs_8.js | 5 +- tensorwrapper_cxx_api/search/typedefs_9.js | 11 +- tensorwrapper_cxx_api/search/typedefs_a.js | 8 +- tensorwrapper_cxx_api/search/typedefs_b.js | 28 +- tensorwrapper_cxx_api/search/typedefs_c.js | 6 +- tensorwrapper_cxx_api/search/typedefs_d.js | 4 +- tensorwrapper_cxx_api/search/variables_0.js | 2 +- tensorwrapper_cxx_api/search/variables_1.js | 2 +- tensorwrapper_cxx_api/shape_8hpp_source.html | 2 +- .../shape__base_8hpp_source.html | 117 ++-- .../shape__fwd_8hpp_source.html | 2 +- .../shape__traits_8hpp_source.html | 4 +- tensorwrapper_cxx_api/smooth_8hpp_source.html | 65 +- .../smooth__alias_8hpp_source.html | 4 +- .../smooth__view_8hpp_source.html | 2 +- .../smooth__view__pimpl_8hpp_source.html | 2 +- .../sparsity_8hpp_source.html | 4 +- ...ttensorwrapper_1_1detail___1_1IsTuple.html | 2 +- ...std_1_1tuple_3_01Args_8_8_8_01_4_01_4.html | 2 +- ...er_1_1detail___1_1TensorInput-members.html | 2 +- ...sorwrapper_1_1detail___1_1TensorInput.html | 2 +- ...tensorwrapper_1_1shape_1_1ShapeTraits.html | 2 +- ...hapeTraits_3_01ShapeBase_01_4-members.html | 2 +- ...ape_1_1ShapeTraits_3_01ShapeBase_01_4.html | 2 +- ..._01SmoothView_3_01T_01_4_01_4-members.html | 2 +- ...Traits_3_01SmoothView_3_01T_01_4_01_4.html | 2 +- ..._1ShapeTraits_3_01Smooth_01_4-members.html | 2 +- ...1shape_1_1ShapeTraits_3_01Smooth_01_4.html | 2 +- ...ts_3_01const_01ShapeBase_01_4-members.html | 2 +- ...hapeTraits_3_01const_01ShapeBase_01_4.html | 2 +- ...raits_3_01const_01Smooth_01_4-members.html | 2 +- ..._1ShapeTraits_3_01const_01Smooth_01_4.html | 2 +- .../symmetry_8hpp_source.html | 4 +- tensorwrapper_cxx_api/tensor_8hpp_source.html | 2 +- .../tensor__class_8hpp_source.html | 124 ++-- .../tensor__factory_8hpp_source.html | 2 +- .../tensor__input_8hpp_source.html | 4 +- .../tensor__pimpl_8hpp_source.html | 2 +- .../tensorwrapper_8hpp_source.html | 2 +- .../unique__ptr__utilities_8hpp_source.html | 2 +- .../view__traits_8hpp_source.html | 2 +- 378 files changed, 6465 insertions(+), 3175 deletions(-) create mode 100644 tensorwrapper_cxx_api/classtensorwrapper_1_1detail___1_1DSLBase-members.html create mode 100644 tensorwrapper_cxx_api/classtensorwrapper_1_1detail___1_1DSLBase.html create mode 100644 tensorwrapper_cxx_api/classtensorwrapper_1_1sparsity_1_1Pattern__coll__graph.map create mode 100644 tensorwrapper_cxx_api/classtensorwrapper_1_1sparsity_1_1Pattern__coll__graph.md5 create mode 100644 tensorwrapper_cxx_api/classtensorwrapper_1_1sparsity_1_1Pattern__coll__graph.png create mode 100644 tensorwrapper_cxx_api/classtensorwrapper_1_1sparsity_1_1Pattern__inherit__graph.map create mode 100644 tensorwrapper_cxx_api/classtensorwrapper_1_1sparsity_1_1Pattern__inherit__graph.md5 create mode 100644 tensorwrapper_cxx_api/classtensorwrapper_1_1sparsity_1_1Pattern__inherit__graph.png create mode 100644 tensorwrapper_cxx_api/dir_bdd93c5f6f8ed155dab40afc437ac083.html create mode 100644 tensorwrapper_cxx_api/dsl__base_8hpp_source.html create mode 100644 tensorwrapper_cxx_api/dsl__base_8ipp.html create mode 100644 tensorwrapper_cxx_api/dsl__base_8ipp__dep__incl.map create mode 100644 tensorwrapper_cxx_api/dsl__base_8ipp__dep__incl.md5 create mode 100644 tensorwrapper_cxx_api/dsl__base_8ipp__dep__incl.png create mode 100644 tensorwrapper_cxx_api/inherit_graph_22.map create mode 100644 tensorwrapper_cxx_api/inherit_graph_22.md5 create mode 100644 tensorwrapper_cxx_api/inherit_graph_22.png create mode 100644 tensorwrapper_cxx_api/search/files_0.html create mode 100644 tensorwrapper_cxx_api/search/files_0.js diff --git a/tensorwrapper_cxx_api/allocator_2eigen_8hpp_source.html b/tensorwrapper_cxx_api/allocator_2eigen_8hpp_source.html index 71d22b4c..04c745dc 100644 --- a/tensorwrapper_cxx_api/allocator_2eigen_8hpp_source.html +++ b/tensorwrapper_cxx_api/allocator_2eigen_8hpp_source.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
@@ -216,7 +216,7 @@
tensorwrapper::allocator::Eigen::eigen_layout_pointer
std::unique_ptr< eigen_layout_type > eigen_layout_pointer
Type of a pointer to an eigen_layout_type object.
Definition: eigen.hpp:70
tensorwrapper::allocator::Eigen::const_base_reference
const base_type & const_base_reference
Read-only reference to an object of type base_type.
Definition: polymorphic_base.hpp:42
tensorwrapper::allocator::Eigen::eigen_buffer_pointer
std::unique_ptr< eigen_buffer_type > eigen_buffer_pointer
Type of a pointer to an eigen_buffer_type object.
Definition: eigen.hpp:61
-
tensorwrapper::allocator::Eigen::base_pointer
std::unique_ptr< base_type > base_pointer
Pointer to an object of type base_type.
Definition: polymorphic_base.hpp:45
+
tensorwrapper::allocator::Eigen::base_pointer
std::unique_ptr< base_type > base_pointer
Pointer to an object of type base_type.
Definition: polymorphic_base.hpp:48
tensorwrapper::allocator::Eigen::allocate_
buffer_base_pointer allocate_(layout_pointer playout) override
Polymorphic allocation of a new buffer.
tensorwrapper::allocator::Eigen::allocate
eigen_buffer_pointer allocate(const_eigen_layout_reference layout)
Copies layout and dispatches to other overload.
Definition: eigen.hpp:106
tensorwrapper::allocator::Eigen::rebind
static const_eigen_buffer_reference rebind(const_buffer_base_reference buffer)
Rebinds a buffer to the same type as *this.
@@ -232,7 +232,7 @@
tensorwrapper::buffer::Eigen
A buffer which wraps an Eigen tensor.
Definition: eigen.hpp:30
tensorwrapper::detail_::PolymorphicBase
Defines the API polymorphic utility methods should use.
Definition: polymorphic_base.hpp:33
tensorwrapper::detail_::PolymorphicBase< AllocatorBase >::const_base_reference
const base_type & const_base_reference
Read-only reference to an object of type base_type.
Definition: polymorphic_base.hpp:42
-
tensorwrapper::detail_::PolymorphicBase< AllocatorBase >::base_pointer
std::unique_ptr< base_type > base_pointer
Pointer to an object of type base_type.
Definition: polymorphic_base.hpp:45
+
tensorwrapper::detail_::PolymorphicBase< AllocatorBase >::base_pointer
std::unique_ptr< base_type > base_pointer
Pointer to an object of type base_type.
Definition: polymorphic_base.hpp:48
tensorwrapper::layout::Physical
Specializes a LayoutBase for a layout describing how a tensor is actually laid out at runtime.
Definition: physical.hpp:29
tensorwrapper::allocator
Contains classes related to allocating Buffer objects.
Definition: allocator.hpp:24
diff --git a/tensorwrapper_cxx_api/allocator_2local_8hpp_source.html b/tensorwrapper_cxx_api/allocator_2local_8hpp_source.html index 2508c3a8..5258c3ce 100644 --- a/tensorwrapper_cxx_api/allocator_2local_8hpp_source.html +++ b/tensorwrapper_cxx_api/allocator_2local_8hpp_source.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
diff --git a/tensorwrapper_cxx_api/allocator_2replicated_8hpp_source.html b/tensorwrapper_cxx_api/allocator_2replicated_8hpp_source.html index 60574e18..bbfcdc14 100644 --- a/tensorwrapper_cxx_api/allocator_2replicated_8hpp_source.html +++ b/tensorwrapper_cxx_api/allocator_2replicated_8hpp_source.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
diff --git a/tensorwrapper_cxx_api/allocator_8hpp_source.html b/tensorwrapper_cxx_api/allocator_8hpp_source.html index 038af638..fb50380e 100644 --- a/tensorwrapper_cxx_api/allocator_8hpp_source.html +++ b/tensorwrapper_cxx_api/allocator_8hpp_source.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
diff --git a/tensorwrapper_cxx_api/allocator__base_8hpp_source.html b/tensorwrapper_cxx_api/allocator__base_8hpp_source.html index 87ac4999..958991d7 100644 --- a/tensorwrapper_cxx_api/allocator__base_8hpp_source.html +++ b/tensorwrapper_cxx_api/allocator__base_8hpp_source.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
diff --git a/tensorwrapper_cxx_api/annotated.html b/tensorwrapper_cxx_api/annotated.html index d725dc4e..7805bb73 100644 --- a/tensorwrapper_cxx_api/annotated.html +++ b/tensorwrapper_cxx_api/annotated.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
@@ -80,40 +80,41 @@  CLocalEstablishes that the state in the buffer is obtainable without communication  CReplicatedDenotes that a buffer is the same on all processes  ▼Ndetail_Inline utilities and functions needed to implement the TensorWrapper library, but not considered part of the public API - CPolymorphicBaseDefines the API polymorphic utility methods should use - CTensorInputType capable of holding all valid inputs to a Tensor's ctor - CIsTuple - CIsTuple< std::tuple< Args... > > - CTensorFactoryObject which helps create tensor objects - CTensorPIMPLActually implements a Tensor object - ▼Ndsl - CLabeledRepresents an object whose modes are assigned dummy indices - CPairwiseParserObject which evaluates the AST of an expression pairwise - CDummyIndicesClass to help deal with string-based dummy indices - ▼NlayoutNamespace for classes used to spe - CLayoutBaseCommon base class for all layouts - CLogicalSpecializes a LayoutBase for a layout describing how a user wants to view the tensor - CPhysicalSpecializes a LayoutBase for a layout describing how a tensor is actually laid out at runtime - ▼NshapeSublibrary focused on describing the geometry of the tensor - ▼Ndetail_ - CSmoothViewPIMPLDefines the API for all SmoothView PIMPLs - CSmoothAliasImplements SmoothView by wrapping a Smooth object - CShapeBaseCode factorization for the various types of shapes - CSmoothViewWraps existing state in an API compatible with SmoothView - CShapeTraits - CShapeTraits< ShapeBase > - CShapeTraits< const ShapeBase > - CShapeTraits< Smooth > - CShapeTraits< const Smooth > - CShapeTraits< SmoothView< T > > - CSmoothDescribes the shape of a "traditional" tensor - ▼NsparsityNamespace containing classes used to express the sparsity of a tensor - CPatternBase class for objects describing the sparsity of a tensor - ▼NsymmetrySublibrary providing classes for describing the symmetry of a tensor - CGroupContainer of the symmetry elements for a tensor - COperationCommon API for classes describing a symmetry operation - CPermutationDescribes a permutation of a tensor's modes - CTensorRepresents a multi-dimensional array of values + CDSLBaseCode factorization for objects that are composable via the DSL + CPolymorphicBaseDefines the API polymorphic utility methods should use + CTensorInputType capable of holding all valid inputs to a Tensor's ctor + CIsTuple + CIsTuple< std::tuple< Args... > > + CTensorFactoryObject which helps create tensor objects + CTensorPIMPLActually implements a Tensor object + ▼Ndsl + CLabeledRepresents an object whose modes are assigned dummy indices + CDummyIndicesClass to help deal with string-based dummy indices + CPairwiseParserObject which evaluates the AST of an expression pairwise + ▼NlayoutNamespace for classes used to spe + CLayoutBaseCommon base class for all layouts + CLogicalSpecializes a LayoutBase for a layout describing how a user wants to view the tensor + CPhysicalSpecializes a LayoutBase for a layout describing how a tensor is actually laid out at runtime + ▼NshapeSublibrary focused on describing the geometry of the tensor + ▼Ndetail_ + CSmoothViewPIMPLDefines the API for all SmoothView PIMPLs + CSmoothAliasImplements SmoothView by wrapping a Smooth object + CShapeBaseCode factorization for the various types of shapes + CSmoothViewWraps existing state in an API compatible with SmoothView + CShapeTraits + CShapeTraits< ShapeBase > + CShapeTraits< const ShapeBase > + CShapeTraits< Smooth > + CShapeTraits< const Smooth > + CShapeTraits< SmoothView< T > > + CSmoothDescribes the shape of a "traditional" tensor + ▼NsparsityNamespace containing classes used to express the sparsity of a tensor + CPatternBase class for objects describing the sparsity of a tensor + ▼NsymmetrySublibrary providing classes for describing the symmetry of a tensor + CGroupContainer of the symmetry elements for a tensor + COperationCommon API for classes describing a symmetry operation + CPermutationDescribes a permutation of a tensor's modes + CTensorRepresents a multi-dimensional array of values diff --git a/tensorwrapper_cxx_api/backends_2eigen_8hpp_source.html b/tensorwrapper_cxx_api/backends_2eigen_8hpp_source.html index 992dbb60..a61e4533 100644 --- a/tensorwrapper_cxx_api/backends_2eigen_8hpp_source.html +++ b/tensorwrapper_cxx_api/backends_2eigen_8hpp_source.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
diff --git a/tensorwrapper_cxx_api/backends_8hpp_source.html b/tensorwrapper_cxx_api/backends_8hpp_source.html index 2df1ef64..46bc9e06 100644 --- a/tensorwrapper_cxx_api/backends_8hpp_source.html +++ b/tensorwrapper_cxx_api/backends_8hpp_source.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
diff --git a/tensorwrapper_cxx_api/buffer_2eigen_8hpp_source.html b/tensorwrapper_cxx_api/buffer_2eigen_8hpp_source.html index f8b934bf..596c08b0 100644 --- a/tensorwrapper_cxx_api/buffer_2eigen_8hpp_source.html +++ b/tensorwrapper_cxx_api/buffer_2eigen_8hpp_source.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
@@ -102,120 +102,106 @@
38 public:
40  using typename my_base_type::buffer_base_pointer;
41  using typename my_base_type::const_buffer_base_reference;
-
42  using typename my_base_type::const_labeled_buffer_reference;
-
43  using typename my_base_type::const_layout_reference;
-
44  using typename my_base_type::label_type;
-
45 
-
47  using data_type = eigen::data_type<FloatType, Rank>;
-
48 
-
50  using data_reference = data_type&;
-
51 
-
53  using const_data_reference = const data_type&;
-
54 
-
60  Eigen() noexcept = default;
-
61 
-
73  template<typename DataType>
-
74  Eigen(DataType&& t, const_layout_reference layout) :
-
75  Replicated(layout), m_tensor_(std::forward<DataType>(t)) {}
-
76 
-
84  Eigen(const Eigen& other) = default;
-
85 
-
94  Eigen(Eigen&& other) = default;
-
95 
-
105  Eigen& operator=(const Eigen& rhs) = default;
-
106 
-
117  Eigen& operator=(Eigen&& rhs) = default;
-
118 
+
42  using typename my_base_type::const_layout_reference;
+
43 
+
45  using data_type = eigen::data_type<FloatType, Rank>;
+
46 
+
48  using data_reference = data_type&;
+
49 
+
51  using const_data_reference = const data_type&;
+
52 
+
58  Eigen() noexcept = default;
+
59 
+
71  template<typename DataType>
+
72  Eigen(DataType&& t, const_layout_reference layout) :
+
73  Replicated(layout), m_tensor_(std::forward<DataType>(t)) {}
+
74 
+
82  Eigen(const Eigen& other) = default;
+
83 
+
92  Eigen(Eigen&& other) = default;
+
93 
+
103  Eigen& operator=(const Eigen& rhs) = default;
+
104 
+
115  Eigen& operator=(Eigen&& rhs) = default;
+
116 
+
117  // -------------------------------------------------------------------------
+
118  // -- State accessors
119  // -------------------------------------------------------------------------
-
120  // -- State accessors
-
121  // -------------------------------------------------------------------------
-
122 
-
130  auto& value() { return m_tensor_; }
-
131 
-
138  const auto& value() const { return m_tensor_; }
-
139 
+
120 
+
128  auto& value() { return m_tensor_; }
+
129 
+
136  const auto& value() const { return m_tensor_; }
+
137 
+
138  // -------------------------------------------------------------------------
+
139  // -- Utility methods
140  // -------------------------------------------------------------------------
-
141  // -- Utility methods
-
142  // -------------------------------------------------------------------------
-
143 
-
155  bool operator==(const Eigen& rhs) const noexcept {
-
156  if(my_base_type::operator!=(rhs)) return false;
-
157  eigen::data_type<FloatType, 0> r = (m_tensor_ - rhs.m_tensor_).sum();
-
158  return r() == 0.0;
-
159  }
-
160 
-
172  bool operator!=(const Eigen& rhs) const noexcept { return !(*this == rhs); }
-
173 
-
174 protected:
-
176  buffer_base_pointer clone_() const override {
-
177  return std::make_unique<my_type>(*this);
-
178  }
-
179 
-
181  bool are_equal_(const_buffer_base_reference rhs) const noexcept override {
-
182  return my_base_type::are_equal_impl_<my_type>(rhs);
-
183  }
-
184 
-
186  buffer_base_reference addition_assignment_(
-
187  label_type this_labels, const_labeled_buffer_reference rhs) override;
-
188 
-
190  buffer_base_reference permute_assignment_(
-
191  label_type this_labels, const_labeled_buffer_reference rhs) override;
-
192 
-
194  typename my_base_type::string_type to_string_() const override;
-
195 
-
196 private:
-
198  data_type m_tensor_;
-
199 };
-
200 
-
201 #define DECLARE_EIGEN_BUFFER(RANK) \
-
202  extern template class Eigen<float, RANK>; \
-
203  extern template class Eigen<double, RANK>
-
204 
-
205 DECLARE_EIGEN_BUFFER(0);
-
206 DECLARE_EIGEN_BUFFER(1);
-
207 DECLARE_EIGEN_BUFFER(2);
-
208 DECLARE_EIGEN_BUFFER(3);
-
209 DECLARE_EIGEN_BUFFER(4);
-
210 DECLARE_EIGEN_BUFFER(5);
-
211 DECLARE_EIGEN_BUFFER(6);
-
212 DECLARE_EIGEN_BUFFER(7);
-
213 DECLARE_EIGEN_BUFFER(8);
-
214 DECLARE_EIGEN_BUFFER(9);
-
215 DECLARE_EIGEN_BUFFER(10);
-
216 
-
217 #undef DECLARE_EIGEN_BUFFER
-
218 
-
219 } // namespace tensorwrapper::buffer
+
141 
+
153  bool operator==(const Eigen& rhs) const noexcept {
+
154  if(my_base_type::operator!=(rhs)) return false;
+
155  eigen::data_type<FloatType, 0> r = (m_tensor_ - rhs.m_tensor_).sum();
+
156  return r() == 0.0;
+
157  }
+
158 
+
170  bool operator!=(const Eigen& rhs) const noexcept { return !(*this == rhs); }
+
171 
+
172 protected:
+
174  buffer_base_pointer clone_() const override {
+
175  return std::make_unique<my_type>(*this);
+
176  }
+
177 
+
179  bool are_equal_(const_buffer_base_reference rhs) const noexcept override {
+
180  return my_base_type::are_equal_impl_<my_type>(rhs);
+
181  }
+
182 
+
184  typename my_base_type::string_type to_string_() const override;
+
185 
+
186 private:
+
188  data_type m_tensor_;
+
189 };
+
190 
+
191 #define DECLARE_EIGEN_BUFFER(RANK) \
+
192  extern template class Eigen<float, RANK>; \
+
193  extern template class Eigen<double, RANK>
+
194 
+
195 DECLARE_EIGEN_BUFFER(0);
+
196 DECLARE_EIGEN_BUFFER(1);
+
197 DECLARE_EIGEN_BUFFER(2);
+
198 DECLARE_EIGEN_BUFFER(3);
+
199 DECLARE_EIGEN_BUFFER(4);
+
200 DECLARE_EIGEN_BUFFER(5);
+
201 DECLARE_EIGEN_BUFFER(6);
+
202 DECLARE_EIGEN_BUFFER(7);
+
203 DECLARE_EIGEN_BUFFER(8);
+
204 DECLARE_EIGEN_BUFFER(9);
+
205 DECLARE_EIGEN_BUFFER(10);
+
206 
+
207 #undef DECLARE_EIGEN_BUFFER
+
208 
+
209 } // namespace tensorwrapper::buffer
tensorwrapper::buffer::BufferBase
Common base class for all buffer objects.
Definition: buffer_base.hpp:28
tensorwrapper::buffer::BufferBase::buffer_base_pointer
typename my_base_type::base_pointer buffer_base_pointer
Type of a pointer to an object of type buffer_base_type.
Definition: buffer_base.hpp:48
-
tensorwrapper::buffer::BufferBase::buffer_base_reference
typename my_base_type::base_reference buffer_base_reference
Type of a mutable reference to a buffer_base_type object.
Definition: buffer_base.hpp:41
tensorwrapper::buffer::BufferBase::const_buffer_base_reference
typename my_base_type::const_base_reference const_buffer_base_reference
Type of a read-only reference to a buffer_base_type object.
Definition: buffer_base.hpp:45
-
tensorwrapper::buffer::BufferBase::label_type
std::string label_type
Type of labels for making a labeled buffer.
Definition: buffer_base.hpp:63
-
tensorwrapper::buffer::BufferBase::layout
const_layout_reference layout() const
Retrieves the layout of *this.
Definition: buffer_base.hpp:100
+
tensorwrapper::buffer::BufferBase::layout
const_layout_reference layout() const
Retrieves the layout of *this.
Definition: buffer_base.hpp:88
tensorwrapper::buffer::BufferBase::const_layout_reference
const layout_type & const_layout_reference
Type of a read-only reference to a layout.
Definition: buffer_base.hpp:57
-
tensorwrapper::buffer::BufferBase::const_labeled_buffer_reference
const labeled_const_buffer_type & const_labeled_buffer_reference
Type of a read-only reference to a labeled_buffer_type object.
Definition: buffer_base.hpp:72
tensorwrapper::buffer::Eigen
A buffer which wraps an Eigen tensor.
Definition: eigen.hpp:30
-
tensorwrapper::buffer::Eigen::are_equal_
bool are_equal_(const_buffer_base_reference rhs) const noexcept override
Implements are_equal by calling are_equal_impl_.
Definition: eigen.hpp:181
-
tensorwrapper::buffer::Eigen::permute_assignment_
buffer_base_reference permute_assignment_(label_type this_labels, const_labeled_buffer_reference rhs) override
Implements permute assignment by deferring to Eigen's shuffle command.
+
tensorwrapper::buffer::Eigen::are_equal_
bool are_equal_(const_buffer_base_reference rhs) const noexcept override
Implements are_equal by calling are_equal_impl_.
Definition: eigen.hpp:179
tensorwrapper::buffer::Eigen::to_string_
my_base_type::string_type to_string_() const override
Implements to_string.
-
tensorwrapper::buffer::Eigen::operator!=
bool operator!=(const Eigen &rhs) const noexcept
Is *this different from rhs?
Definition: eigen.hpp:172
-
tensorwrapper::buffer::Eigen::addition_assignment_
buffer_base_reference addition_assignment_(label_type this_labels, const_labeled_buffer_reference rhs) override
Implements addition_assignment by rebinding rhs to an Eigen buffer.
+
tensorwrapper::buffer::Eigen::operator!=
bool operator!=(const Eigen &rhs) const noexcept
Is *this different from rhs?
Definition: eigen.hpp:170
tensorwrapper::buffer::Eigen::Eigen
Eigen(Eigen &&other)=default
Initializes *this with the state from other.
-
tensorwrapper::buffer::Eigen::value
const auto & value() const
Provides direct access to the wrapped tensor.
Definition: eigen.hpp:138
-
tensorwrapper::buffer::Eigen::data_reference
data_type & data_reference
Mutable reference to an object of type data_type.
Definition: eigen.hpp:50
-
tensorwrapper::buffer::Eigen::value
auto & value()
Allows direct access to the wrapped tensor.
Definition: eigen.hpp:130
+
tensorwrapper::buffer::Eigen::value
const auto & value() const
Provides direct access to the wrapped tensor.
Definition: eigen.hpp:136
+
tensorwrapper::buffer::Eigen::data_reference
data_type & data_reference
Mutable reference to an object of type data_type.
Definition: eigen.hpp:48
+
tensorwrapper::buffer::Eigen::value
auto & value()
Allows direct access to the wrapped tensor.
Definition: eigen.hpp:128
tensorwrapper::buffer::Eigen::Eigen
Eigen() noexcept=default
Creates a buffer with no layout and a default initialized tensor.
tensorwrapper::buffer::Eigen::operator=
Eigen & operator=(Eigen &&rhs)=default
Replaces the state in *this with the state in rhs.
-
tensorwrapper::buffer::Eigen::const_data_reference
const data_type & const_data_reference
Read-only reference to an object of type data_type.
Definition: eigen.hpp:53
-
tensorwrapper::buffer::Eigen::clone_
buffer_base_pointer clone_() const override
Implements clone by calling copy ctor.
Definition: eigen.hpp:176
-
tensorwrapper::buffer::Eigen::operator==
bool operator==(const Eigen &rhs) const noexcept
Is *this value equal to rhs?
Definition: eigen.hpp:155
-
tensorwrapper::buffer::Eigen::data_type
eigen::data_type< FloatType, Rank > data_type
Type of a rank Rank tensor using floats of type FloatType.
Definition: eigen.hpp:47
+
tensorwrapper::buffer::Eigen::const_data_reference
const data_type & const_data_reference
Read-only reference to an object of type data_type.
Definition: eigen.hpp:51
+
tensorwrapper::buffer::Eigen::clone_
buffer_base_pointer clone_() const override
Implements clone by calling copy ctor.
Definition: eigen.hpp:174
+
tensorwrapper::buffer::Eigen::operator==
bool operator==(const Eigen &rhs) const noexcept
Is *this value equal to rhs?
Definition: eigen.hpp:153
+
tensorwrapper::buffer::Eigen::data_type
eigen::data_type< FloatType, Rank > data_type
Type of a rank Rank tensor using floats of type FloatType.
Definition: eigen.hpp:45
tensorwrapper::buffer::Eigen::operator=
Eigen & operator=(const Eigen &rhs)=default
Replaces the state in *this with a copy of the state in rhs.
tensorwrapper::buffer::Eigen::Eigen
Eigen(const Eigen &other)=default
Initializes *this with a copy of other.
tensorwrapper::buffer::Replicated
Denotes that a buffer is the same on all processes.
Definition: replicated.hpp:27
tensorwrapper::detail_::PolymorphicBase
Defines the API polymorphic utility methods should use.
Definition: polymorphic_base.hpp:33
-
tensorwrapper::detail_::PolymorphicBase::string_type
std::string string_type
Type used for representing *this as a string.
Definition: polymorphic_base.hpp:51
-
tensorwrapper::dsl::Labeled
Represents an object whose modes are assigned dummy indices.
Definition: labeled.hpp:29
+
tensorwrapper::detail_::PolymorphicBase::string_type
std::string string_type
Type used for representing *this as a string.
Definition: polymorphic_base.hpp:54
tensorwrapper::layout::LayoutBase
Common base class for all layouts.
Definition: layout_base.hpp:28
tensorwrapper::buffer
Contains classes need to wrap instances of the various backends.
Definition: buffer.hpp:24
diff --git a/tensorwrapper_cxx_api/buffer_2local_8hpp_source.html b/tensorwrapper_cxx_api/buffer_2local_8hpp_source.html index 05a73e78..c95e7006 100644 --- a/tensorwrapper_cxx_api/buffer_2local_8hpp_source.html +++ b/tensorwrapper_cxx_api/buffer_2local_8hpp_source.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
@@ -102,7 +102,7 @@
38 
39 } // namespace tensorwrapper::buffer
tensorwrapper::buffer::BufferBase
Common base class for all buffer objects.
Definition: buffer_base.hpp:28
-
tensorwrapper::buffer::BufferBase::BufferBase
BufferBase()
Creates a buffer with no layout.
Definition: buffer_base.hpp:274
+
tensorwrapper::buffer::BufferBase::BufferBase
BufferBase()
Creates a buffer with no layout.
Definition: buffer_base.hpp:144
tensorwrapper::buffer::Local
Establishes that the state in the buffer is obtainable without communication.
Definition: local.hpp:29
tensorwrapper::detail_::PolymorphicBase
Defines the API polymorphic utility methods should use.
Definition: polymorphic_base.hpp:33
tensorwrapper::buffer
Contains classes need to wrap instances of the various backends.
Definition: buffer.hpp:24
diff --git a/tensorwrapper_cxx_api/buffer_2replicated_8hpp_source.html b/tensorwrapper_cxx_api/buffer_2replicated_8hpp_source.html index 9364faf5..2f355966 100644 --- a/tensorwrapper_cxx_api/buffer_2replicated_8hpp_source.html +++ b/tensorwrapper_cxx_api/buffer_2replicated_8hpp_source.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
diff --git a/tensorwrapper_cxx_api/buffer_8hpp_source.html b/tensorwrapper_cxx_api/buffer_8hpp_source.html index 17b8d1b7..7a172d47 100644 --- a/tensorwrapper_cxx_api/buffer_8hpp_source.html +++ b/tensorwrapper_cxx_api/buffer_8hpp_source.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
diff --git a/tensorwrapper_cxx_api/buffer__base_8hpp_source.html b/tensorwrapper_cxx_api/buffer__base_8hpp_source.html index 9c846507..fefab4bd 100644 --- a/tensorwrapper_cxx_api/buffer__base_8hpp_source.html +++ b/tensorwrapper_cxx_api/buffer__base_8hpp_source.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
@@ -117,150 +117,89 @@
58 
60  using layout_pointer = typename layout_type::layout_pointer;
61 
-
63  using label_type = std::string;
-
64 
-
66  using labeled_buffer_type = dsl::Labeled<buffer_base_type, label_type>;
-
67 
-
69  using labeled_const_buffer_type = dsl::Labeled<const buffer_base_type>;
-
70 
-
72  using const_labeled_buffer_reference = const labeled_const_buffer_type&;
-
73 
-
74  // -------------------------------------------------------------------------
-
75  // -- Accessors
-
76  // -------------------------------------------------------------------------
-
77 
-
87  bool has_layout() const noexcept { return static_cast<bool>(m_layout_); }
-
88 
-
100  const_layout_reference layout() const {
-
101  assert_layout_();
-
102  return *m_layout_;
-
103  }
-
104 
-
105  // -------------------------------------------------------------------------
-
106  // -- BLAS Operations
-
107  // -------------------------------------------------------------------------
-
108 
-
122  buffer_base_reference addition_assignment(
-
123  label_type this_labels, const_labeled_buffer_reference rhs) {
-
124  return addition_assignment_(std::move(this_labels), rhs);
-
125  }
-
126 
-
142  buffer_base_pointer addition(label_type this_labels,
-
143  const_labeled_buffer_reference rhs) const {
-
144  auto pthis = clone();
-
145  pthis->addition_assignment(std::move(this_labels), rhs);
-
146  return pthis;
-
147  }
-
148 
-
169  buffer_base_reference permute_assignment(
-
170  label_type this_labels, const_labeled_buffer_reference rhs) {
-
171  return permute_assignment_(std::move(this_labels), rhs);
-
172  }
-
173 
-
189  buffer_base_pointer permute(label_type this_labels,
-
190  label_type out_labels) const {
-
191  auto pthis = clone();
-
192  pthis->permute_assignment(std::move(out_labels), (*this)(this_labels));
-
193  return pthis;
-
194  }
-
195 
-
196  // -------------------------------------------------------------------------
-
197  // -- Utility methods
-
198  // -------------------------------------------------------------------------
-
199 
-
212  labeled_buffer_type operator()(label_type labels);
-
213 
-
225  labeled_const_buffer_type operator()(label_type labels) const;
-
226 
-
239  bool operator==(const BufferBase& rhs) const noexcept {
-
240  if(has_layout() != rhs.has_layout()) return false;
-
241  if(!has_layout()) return true;
-
242  return m_layout_->are_equal(*rhs.m_layout_);
-
243  }
-
244 
-
257  bool operator!=(const BufferBase& rhs) const noexcept {
-
258  return !(*this == rhs);
-
259  }
-
260 
-
261 protected:
-
262  // -------------------------------------------------------------------------
-
263  // -- Ctors, assignment
-
264  // -------------------------------------------------------------------------
-
265 
-
274  BufferBase() : BufferBase(nullptr) {}
-
275 
-
283  explicit BufferBase(const_layout_reference layout) :
-
284  BufferBase(layout.clone()) {}
-
285 
-
293  explicit BufferBase(layout_pointer playout) noexcept :
-
294  m_layout_(std::move(playout)) {}
-
295 
-
303  BufferBase(const BufferBase& other) :
-
304  m_layout_(other.m_layout_ ? other.m_layout_->clone() : nullptr) {}
-
305 
-
316  BufferBase& operator=(const BufferBase& rhs) {
-
317  if(this != &rhs) {
-
318  auto temp = rhs.has_layout() ? rhs.m_layout_->clone() : nullptr;
-
319  temp.swap(m_layout_);
-
320  }
-
321  return *this;
-
322  }
-
323 
-
325  virtual buffer_base_reference addition_assignment_(
-
326  label_type this_labels, const_labeled_buffer_reference rhs) {
-
327  throw std::runtime_error("Addition assignment NYI");
-
328  }
-
329 
-
331  virtual buffer_base_reference permute_assignment_(
-
332  label_type this_labels, const_labeled_buffer_reference rhs) {
-
333  throw std::runtime_error("Permute assignment NYI");
-
334  }
-
335 
-
336 private:
-
338  void assert_layout_() const {
-
339  if(has_layout()) return;
-
340  throw std::runtime_error(
-
341  "Buffer has no layout. Was it default initialized?");
-
342  }
-
343 
-
345  layout_pointer m_layout_;
-
346 };
-
347 
-
348 } // namespace tensorwrapper::buffer
+
62  // -------------------------------------------------------------------------
+
63  // -- Accessors
+
64  // -------------------------------------------------------------------------
+
65 
+
75  bool has_layout() const noexcept { return static_cast<bool>(m_layout_); }
+
76 
+
88  const_layout_reference layout() const {
+
89  assert_layout_();
+
90  return *m_layout_;
+
91  }
+
92 
+
93  // -------------------------------------------------------------------------
+
94  // -- Utility methods
+
95  // -------------------------------------------------------------------------
+
96 
+
109  bool operator==(const BufferBase& rhs) const noexcept {
+
110  if(has_layout() != rhs.has_layout()) return false;
+
111  if(!has_layout()) return true;
+
112  return m_layout_->are_equal(*rhs.m_layout_);
+
113  }
+
114 
+
127  bool operator!=(const BufferBase& rhs) const noexcept {
+
128  return !(*this == rhs);
+
129  }
+
130 
+
131 protected:
+
132  // -------------------------------------------------------------------------
+
133  // -- Ctors, assignment
+
134  // -------------------------------------------------------------------------
+
135 
+
144  BufferBase() : BufferBase(nullptr) {}
+
145 
+
153  explicit BufferBase(const_layout_reference layout) :
+
154  BufferBase(layout.clone()) {}
+
155 
+
163  explicit BufferBase(layout_pointer playout) noexcept :
+
164  m_layout_(std::move(playout)) {}
+
165 
+
173  BufferBase(const BufferBase& other) :
+
174  m_layout_(other.m_layout_ ? other.m_layout_->clone() : nullptr) {}
+
175 
+
186  BufferBase& operator=(const BufferBase& rhs) {
+
187  if(this != &rhs) {
+
188  auto temp = rhs.has_layout() ? rhs.m_layout_->clone() : nullptr;
+
189  temp.swap(m_layout_);
+
190  }
+
191  return *this;
+
192  }
+
193 
+
194 private:
+
196  void assert_layout_() const {
+
197  if(has_layout()) return;
+
198  throw std::runtime_error(
+
199  "Buffer has no layout. Was it default initialized?");
+
200  }
+
201 
+
203  layout_pointer m_layout_;
+
204 };
+
205 
+
206 } // namespace tensorwrapper::buffer
tensorwrapper::buffer::BufferBase
Common base class for all buffer objects.
Definition: buffer_base.hpp:28
-
tensorwrapper::buffer::BufferBase::operator=
BufferBase & operator=(const BufferBase &rhs)
Replaces the state in *this with a deep copy of the state in rhs.
Definition: buffer_base.hpp:316
-
tensorwrapper::buffer::BufferBase::permute_assignment
buffer_base_reference permute_assignment(label_type this_labels, const_labeled_buffer_reference rhs)
Sets *this to a permutation of rhs.
Definition: buffer_base.hpp:169
+
tensorwrapper::buffer::BufferBase::operator=
BufferBase & operator=(const BufferBase &rhs)
Replaces the state in *this with a deep copy of the state in rhs.
Definition: buffer_base.hpp:186
tensorwrapper::buffer::BufferBase::const_buffer_base_pointer
typename my_base_type::const_base_pointer const_buffer_base_pointer
Type of a pointer to a read-only object of type buffer_base_type.
Definition: buffer_base.hpp:51
tensorwrapper::buffer::BufferBase::buffer_base_pointer
typename my_base_type::base_pointer buffer_base_pointer
Type of a pointer to an object of type buffer_base_type.
Definition: buffer_base.hpp:48
tensorwrapper::buffer::BufferBase::buffer_base_reference
typename my_base_type::base_reference buffer_base_reference
Type of a mutable reference to a buffer_base_type object.
Definition: buffer_base.hpp:41
-
tensorwrapper::buffer::BufferBase::operator()
labeled_buffer_type operator()(label_type labels)
Associates labels with the modes of *this.
Definition: buffer_base.cpp:21
-
tensorwrapper::buffer::BufferBase::BufferBase
BufferBase(const_layout_reference layout)
Creates a buffer initialized with a copy of layout.
Definition: buffer_base.hpp:283
-
tensorwrapper::buffer::BufferBase::BufferBase
BufferBase(const BufferBase &other)
Creates a buffer by deep copying other.
Definition: buffer_base.hpp:303
+
tensorwrapper::buffer::BufferBase::BufferBase
BufferBase(const_layout_reference layout)
Creates a buffer initialized with a copy of layout.
Definition: buffer_base.hpp:153
+
tensorwrapper::buffer::BufferBase::BufferBase
BufferBase(const BufferBase &other)
Creates a buffer by deep copying other.
Definition: buffer_base.hpp:173
tensorwrapper::buffer::BufferBase::const_buffer_base_reference
typename my_base_type::const_base_reference const_buffer_base_reference
Type of a read-only reference to a buffer_base_type object.
Definition: buffer_base.hpp:45
-
tensorwrapper::buffer::BufferBase::BufferBase
BufferBase(layout_pointer playout) noexcept
Creates a buffer which owns the layout pointed to by playout.
Definition: buffer_base.hpp:293
-
tensorwrapper::buffer::BufferBase::permute_assignment_
virtual buffer_base_reference permute_assignment_(label_type this_labels, const_labeled_buffer_reference rhs)
Derived class should overwrite to implement permute_assignment.
Definition: buffer_base.hpp:331
-
tensorwrapper::buffer::BufferBase::label_type
std::string label_type
Type of labels for making a labeled buffer.
Definition: buffer_base.hpp:63
-
tensorwrapper::buffer::BufferBase::operator!=
bool operator!=(const BufferBase &rhs) const noexcept
Is *this different from rhs?
Definition: buffer_base.hpp:257
+
tensorwrapper::buffer::BufferBase::BufferBase
BufferBase(layout_pointer playout) noexcept
Creates a buffer which owns the layout pointed to by playout.
Definition: buffer_base.hpp:163
+
tensorwrapper::buffer::BufferBase::operator!=
bool operator!=(const BufferBase &rhs) const noexcept
Is *this different from rhs?
Definition: buffer_base.hpp:127
tensorwrapper::buffer::BufferBase::layout_pointer
typename layout_type::layout_pointer layout_pointer
Type of a pointer to the layout.
Definition: buffer_base.hpp:60
-
tensorwrapper::buffer::BufferBase::layout
const_layout_reference layout() const
Retrieves the layout of *this.
Definition: buffer_base.hpp:100
-
tensorwrapper::buffer::BufferBase::permute
buffer_base_pointer permute(label_type this_labels, label_type out_labels) const
Returns a copy of *this obtained by permuting *this.
Definition: buffer_base.hpp:189
-
tensorwrapper::buffer::BufferBase::operator==
bool operator==(const BufferBase &rhs) const noexcept
Is *this value equal to rhs?
Definition: buffer_base.hpp:239
-
tensorwrapper::buffer::BufferBase::has_layout
bool has_layout() const noexcept
Does *this have a layout?
Definition: buffer_base.hpp:87
-
tensorwrapper::buffer::BufferBase::addition_assignment
buffer_base_reference addition_assignment(label_type this_labels, const_labeled_buffer_reference rhs)
Set this to the result of *this + rhs.
Definition: buffer_base.hpp:122
-
tensorwrapper::buffer::BufferBase::addition_assignment_
virtual buffer_base_reference addition_assignment_(label_type this_labels, const_labeled_buffer_reference rhs)
Derived class should overwrite to implement addition_assignment.
Definition: buffer_base.hpp:325
+
tensorwrapper::buffer::BufferBase::layout
const_layout_reference layout() const
Retrieves the layout of *this.
Definition: buffer_base.hpp:88
+
tensorwrapper::buffer::BufferBase::operator==
bool operator==(const BufferBase &rhs) const noexcept
Is *this value equal to rhs?
Definition: buffer_base.hpp:109
+
tensorwrapper::buffer::BufferBase::has_layout
bool has_layout() const noexcept
Does *this have a layout?
Definition: buffer_base.hpp:75
tensorwrapper::buffer::BufferBase::buffer_base_type
typename my_base_type::base_type buffer_base_type
Type all buffers inherit from.
Definition: buffer_base.hpp:38
-
tensorwrapper::buffer::BufferBase::BufferBase
BufferBase()
Creates a buffer with no layout.
Definition: buffer_base.hpp:274
-
tensorwrapper::buffer::BufferBase::addition
buffer_base_pointer addition(label_type this_labels, const_labeled_buffer_reference rhs) const
Returns the result of *this + rhs.
Definition: buffer_base.hpp:142
-
tensorwrapper::buffer::BufferBase::labeled_const_buffer_type
dsl::Labeled< const buffer_base_type > labeled_const_buffer_type
Type of a labeled read-only buffer (n.b. labels are mutable)
Definition: buffer_base.hpp:69
-
tensorwrapper::buffer::BufferBase::labeled_buffer_type
dsl::Labeled< buffer_base_type, label_type > labeled_buffer_type
Type of a labeled buffer.
Definition: buffer_base.hpp:66
+
tensorwrapper::buffer::BufferBase::BufferBase
BufferBase()
Creates a buffer with no layout.
Definition: buffer_base.hpp:144
tensorwrapper::detail_::PolymorphicBase
Defines the API polymorphic utility methods should use.
Definition: polymorphic_base.hpp:33
-
tensorwrapper::detail_::PolymorphicBase< BufferBase >::clone
base_pointer clone() const
Creates a deep polymorphic copy of *this via the base class.
Definition: polymorphic_base.hpp:71
-
tensorwrapper::detail_::PolymorphicBase::const_base_pointer
std::unique_ptr< const base_type > const_base_pointer
Pointer to a read-only object of type base_type.
Definition: polymorphic_base.hpp:48
+
tensorwrapper::detail_::PolymorphicBase< BufferBase >::clone
base_pointer clone() const
Creates a deep polymorphic copy of *this via the base class.
Definition: polymorphic_base.hpp:74
+
tensorwrapper::detail_::PolymorphicBase::const_base_pointer
std::unique_ptr< const base_type > const_base_pointer
Pointer to a read-only object of type base_type.
Definition: polymorphic_base.hpp:51
tensorwrapper::detail_::PolymorphicBase::const_base_reference
const base_type & const_base_reference
Read-only reference to an object of type base_type.
Definition: polymorphic_base.hpp:42
tensorwrapper::detail_::PolymorphicBase::base_reference
base_type & base_reference
Mutable reference to an object of type base_type.
Definition: polymorphic_base.hpp:39
-
tensorwrapper::detail_::PolymorphicBase::base_pointer
std::unique_ptr< base_type > base_pointer
Pointer to an object of type base_type.
Definition: polymorphic_base.hpp:45
+
tensorwrapper::detail_::PolymorphicBase::base_pointer
std::unique_ptr< base_type > base_pointer
Pointer to an object of type base_type.
Definition: polymorphic_base.hpp:48
tensorwrapper::detail_::PolymorphicBase::base_type
BaseType base_type
Type *this is implementing.
Definition: polymorphic_base.hpp:36
-
tensorwrapper::dsl::Labeled
Represents an object whose modes are assigned dummy indices.
Definition: labeled.hpp:29
tensorwrapper::layout::LayoutBase
Common base class for all layouts.
Definition: layout_base.hpp:28
tensorwrapper::layout::LayoutBase::layout_pointer
std::unique_ptr< layout_base > layout_pointer
Type of a pointer to the base of a layout.
Definition: layout_base.hpp:40
tensorwrapper::buffer
Contains classes need to wrap instances of the various backends.
Definition: buffer.hpp:24
diff --git a/tensorwrapper_cxx_api/buffer__fwd_8hpp_source.html b/tensorwrapper_cxx_api/buffer__fwd_8hpp_source.html index ac96dccc..688190fc 100644 --- a/tensorwrapper_cxx_api/buffer__fwd_8hpp_source.html +++ b/tensorwrapper_cxx_api/buffer__fwd_8hpp_source.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
diff --git a/tensorwrapper_cxx_api/classes.html b/tensorwrapper_cxx_api/classes.html index c41420d2..d3a0ab67 100644 --- a/tensorwrapper_cxx_api/classes.html +++ b/tensorwrapper_cxx_api/classes.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
@@ -76,7 +76,7 @@
BufferBase (tensorwrapper::buffer)
D
-
DummyIndices (tensorwrapper::dsl)
+
DSLBase (tensorwrapper::detail_)
DummyIndices (tensorwrapper::dsl)
E
Eigen (tensorwrapper::allocator)
Eigen (tensorwrapper::buffer)
diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1Tensor-members.html b/tensorwrapper_cxx_api/classtensorwrapper_1_1Tensor-members.html index 65c4186c..1bd29e0b 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1Tensor-members.html +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1Tensor-members.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
@@ -79,18 +79,12 @@ buffer_reference typedeftensorwrapper::Tensor const_buffer_pointer typedeftensorwrapper::Tensor const_buffer_reference typedeftensorwrapper::Tensor - const_label_reference typedeftensorwrapper::Tensor - const_labeled_tensor_type typedeftensorwrapper::Tensor const_logical_reference typedeftensorwrapper::Tensor - label_type typedeftensorwrapper::Tensor - labeled_tensor_type typedeftensorwrapper::Tensor logical_layout() consttensorwrapper::Tensor logical_layout_pointer typedeftensorwrapper::Tensor logical_layout_type typedeftensorwrapper::Tensor matrix_il_type typedeftensorwrapper::Tensor operator!=(const Tensor &rhs) const noexcepttensorwrapper::Tensor - operator()(const_label_reference labels)tensorwrapper::Tensorinline - operator()(const_label_reference labels) consttensorwrapper::Tensorinline operator=(const Tensor &rhs)tensorwrapper::Tensor operator=(Tensor &&rhs) noexcepttensorwrapper::Tensor operator==(const Tensor &rhs) const noexcepttensorwrapper::Tensor diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1Tensor.html b/tensorwrapper_cxx_api/classtensorwrapper_1_1Tensor.html index 848692eb..e34a034b 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1Tensor.html +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1Tensor.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
@@ -138,22 +138,6 @@ using tensor4_il_type = std::initializer_list< tensor3_il_type >  Type of an initializer list if *this is a rank 4 tensor.
  - -using label_type = std::string - Type of a label.
-  - -using const_label_reference = const label_type & - Type of a read-only reference to an object of type label_type.
-  - -using labeled_tensor_type = dsl::Labeled< Tensor, label_type > - Type of a labeled tensor.
-  - -using const_labeled_tensor_type = dsl::Labeled< const Tensor, label_type > - Type of a read-only labeled tensor.
-  @@ -189,12 +173,6 @@ - - - - - - @@ -563,80 +541,6 @@

-

◆ operator()() [1/2]

- -
-
-

Public Member Functions

const_buffer_reference buffer () const
 Read-only access to the tensor's buffer. More...
 
labeled_tensor_type operator() (const_label_reference labels)
 Associates labels with the modes of *this. More...
 
const_labeled_tensor_type operator() (const_label_reference labels) const
 Associates labels with the modes of *this. More...
 
void swap (Tensor &other) noexcept
 Exchanges the state of *this with the state of other. More...
 
- - - - -
- - - - - - - - -
labeled_tensor_type tensorwrapper::Tensor::operator() (const_label_reference labels)
- 		-inline
-
- -

Associates labels with the modes of *this.

-

Expressing tensor operations is easier with the use of the Einstein summation convention. Usage of this convention requires the user to be able to associate dummy indices with the modes of the tensor. This function pairs labels with the modes of *this such that the i-th dummy index of labels is paired with the i-th mode of *this.

-

See dsl::DummyIndices for how the string is interpreted.

-

Note that if *this is a rank 0 tensor labels should be the empty string.

-
Parameters
- - -
[in]labelsThe dummy indices to associate with each mode.
-
-
-
Returns
A DSL term pairing *this with labels.
- -
- - -

◆ operator()() [2/2]

- -
-
- - - - - -
- - - - - - - - -
const_labeled_tensor_type tensorwrapper::Tensor::operator() (const_label_reference labels) const
- 		-inline
-
- -

Associates labels with the modes of *this.

-

This method is the same as the non-const version except that the resulting DSL term contains a reference to an immutable tensor.

-
Parameters
- - -
[in]labelsThe dummy indices to associate with each mode.
-
-
-
Returns
A DSL term pairing *this with labels.
-
diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1AllocatorBase-members.html b/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1AllocatorBase-members.html index 0c41038b..d11656f6 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1AllocatorBase-members.html +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1AllocatorBase-members.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
@@ -83,31 +83,32 @@ are_equal_impl_(const_base_reference rhs) const noexcepttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inlineprotected base_pointer typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > base_reference typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > - base_type typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > - buffer_base_pointer typedeftensorwrapper::allocator::AllocatorBase - buffer_base_reference typedeftensorwrapper::allocator::AllocatorBase - buffer_base_type typedeftensorwrapper::allocator::AllocatorBase - clone() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inline - clone_() const=0tensorwrapper::detail_::PolymorphicBase< AllocatorBase >protectedpure virtual - clone_as() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inline - const_base_pointer typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > - const_base_reference typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > - const_buffer_base_reference typedeftensorwrapper::allocator::AllocatorBase - const_runtime_view_reference typedeftensorwrapper::allocator::AllocatorBase - layout_pointer typedeftensorwrapper::allocator::AllocatorBase - layout_type typedeftensorwrapper::allocator::AllocatorBase - operator!=(const AllocatorBase &rhs) const noexcepttensorwrapper::allocator::AllocatorBaseinline - operator==(const AllocatorBase &rhs) const noexcepttensorwrapper::allocator::AllocatorBaseinline - PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< AllocatorBase >protected - PolymorphicBase(const PolymorphicBase &other)=defaulttensorwrapper::detail_::PolymorphicBase< AllocatorBase >protected - runtime() noexcepttensorwrapper::allocator::AllocatorBaseinline - runtime() const noexcepttensorwrapper::allocator::AllocatorBaseinline - runtime_view_reference typedeftensorwrapper::allocator::AllocatorBase - runtime_view_type typedeftensorwrapper::allocator::AllocatorBase - string_type typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > - to_string() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inline - to_string_() const (defined in tensorwrapper::detail_::PolymorphicBase< AllocatorBase >)tensorwrapper::detail_::PolymorphicBase< AllocatorBase >inlineprotectedvirtual - ~PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< AllocatorBase >virtual + base_rvalue typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > + base_type typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > + buffer_base_pointer typedeftensorwrapper::allocator::AllocatorBase + buffer_base_reference typedeftensorwrapper::allocator::AllocatorBase + buffer_base_type typedeftensorwrapper::allocator::AllocatorBase + clone() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inline + clone_() const=0tensorwrapper::detail_::PolymorphicBase< AllocatorBase >protectedpure virtual + clone_as() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inline + const_base_pointer typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > + const_base_reference typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > + const_buffer_base_reference typedeftensorwrapper::allocator::AllocatorBase + const_runtime_view_reference typedeftensorwrapper::allocator::AllocatorBase + layout_pointer typedeftensorwrapper::allocator::AllocatorBase + layout_type typedeftensorwrapper::allocator::AllocatorBase + operator!=(const AllocatorBase &rhs) const noexcepttensorwrapper::allocator::AllocatorBaseinline + operator==(const AllocatorBase &rhs) const noexcepttensorwrapper::allocator::AllocatorBaseinline + PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< AllocatorBase >protected + PolymorphicBase(const PolymorphicBase &other)=defaulttensorwrapper::detail_::PolymorphicBase< AllocatorBase >protected + runtime() noexcepttensorwrapper::allocator::AllocatorBaseinline + runtime() const noexcepttensorwrapper::allocator::AllocatorBaseinline + runtime_view_reference typedeftensorwrapper::allocator::AllocatorBase + runtime_view_type typedeftensorwrapper::allocator::AllocatorBase + string_type typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > + to_string() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inline + to_string_() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inlineprotectedvirtual + ~PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< AllocatorBase >virtual
diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1AllocatorBase.html b/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1AllocatorBase.html index 5a2e552c..b5aaebda 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1AllocatorBase.html +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1AllocatorBase.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
@@ -153,6 +153,10 @@ using const_base_reference = const base_type &  Read-only reference to an object of type base_type.
  + +using base_rvalue = base_type && + Mutable rvalue reference to an object of type base_type.
+  using base_pointer = std::unique_ptr< base_type >  Pointer to an object of type base_type.
@@ -232,7 +236,8 @@  Derived classes should override this method to implement are_equal. More...
  -virtual string_type to_string_ () const +virtual string_type to_string_ () const + Should be overridden by the derived class to provide logging details.
 

Detailed Description

diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1Eigen-members.html b/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1Eigen-members.html index ddcf7509..c14c7773 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1Eigen-members.html +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1Eigen-members.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
@@ -85,46 +85,47 @@ are_equal_impl_(const_base_reference rhs) const noexcepttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inlineprotected base_pointer typedeftensorwrapper::allocator::Eigen< FloatType, Rank > base_reference typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > - base_type typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > - buffer_base_pointer typedeftensorwrapper::allocator::AllocatorBase - buffer_base_reference typedeftensorwrapper::allocator::AllocatorBase - buffer_base_type typedeftensorwrapper::allocator::AllocatorBase - can_rebind(const_buffer_base_reference buffer)tensorwrapper::allocator::Eigen< FloatType, Rank >static - clone() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inline - clone_() const overridetensorwrapper::allocator::Eigen< FloatType, Rank >inlineprotectedvirtual - clone_as() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inline - const_base_pointer typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > - const_base_reference typedeftensorwrapper::allocator::Eigen< FloatType, Rank > - const_buffer_base_reference typedeftensorwrapper::allocator::AllocatorBase - const_eigen_buffer_reference typedeftensorwrapper::allocator::Eigen< FloatType, Rank > - const_eigen_layout_reference typedeftensorwrapper::allocator::Eigen< FloatType, Rank > - const_runtime_view_reference typedeftensorwrapper::allocator::AllocatorBase - construct(LayoutType &&layout, FloatType value)tensorwrapper::allocator::Eigen< FloatType, Rank >inline - Eigen(runtime_view_type rv)tensorwrapper::allocator::Eigen< FloatType, Rank >inlineexplicit - eigen_buffer_pointer typedeftensorwrapper::allocator::Eigen< FloatType, Rank > - eigen_buffer_reference typedeftensorwrapper::allocator::Eigen< FloatType, Rank > - eigen_buffer_type typedeftensorwrapper::allocator::Eigen< FloatType, Rank > - eigen_layout_pointer typedeftensorwrapper::allocator::Eigen< FloatType, Rank > - eigen_layout_type typedeftensorwrapper::allocator::Eigen< FloatType, Rank > - layout_pointer typedeftensorwrapper::allocator::AllocatorBase - layout_type typedeftensorwrapper::allocator::AllocatorBase - make_eigen_allocator(unsigned int rank, runtime_view_type rv) (defined in tensorwrapper::allocator::Eigen< FloatType, Rank >)tensorwrapper::allocator::Eigen< FloatType, Rank >static - operator!=(const Eigen< FloatType2, Rank2 > &rhs) const noexcepttensorwrapper::allocator::Eigen< FloatType, Rank >inline - tensorwrapper::allocator::Replicated::operator!=(const AllocatorBase &rhs) const noexcepttensorwrapper::allocator::AllocatorBaseinline - operator==(const Eigen< FloatType2, Rank2 > &rhs) const noexcepttensorwrapper::allocator::Eigen< FloatType, Rank >inline - tensorwrapper::allocator::Replicated::operator==(const AllocatorBase &rhs) const noexcepttensorwrapper::allocator::AllocatorBaseinline - PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< AllocatorBase >protected - PolymorphicBase(const PolymorphicBase &other)=defaulttensorwrapper::detail_::PolymorphicBase< AllocatorBase >protected - rebind(buffer_base_reference buffer)tensorwrapper::allocator::Eigen< FloatType, Rank >static - rebind(const_buffer_base_reference buffer)tensorwrapper::allocator::Eigen< FloatType, Rank >static - runtime() noexcepttensorwrapper::allocator::AllocatorBaseinline - runtime() const noexcepttensorwrapper::allocator::AllocatorBaseinline - runtime_view_reference typedeftensorwrapper::allocator::AllocatorBase - runtime_view_type typedeftensorwrapper::allocator::AllocatorBase - string_type typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > - to_string() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inline - to_string_() const (defined in tensorwrapper::detail_::PolymorphicBase< AllocatorBase >)tensorwrapper::detail_::PolymorphicBase< AllocatorBase >inlineprotectedvirtual - ~PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< AllocatorBase >virtual + base_rvalue typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > + base_type typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > + buffer_base_pointer typedeftensorwrapper::allocator::AllocatorBase + buffer_base_reference typedeftensorwrapper::allocator::AllocatorBase + buffer_base_type typedeftensorwrapper::allocator::AllocatorBase + can_rebind(const_buffer_base_reference buffer)tensorwrapper::allocator::Eigen< FloatType, Rank >static + clone() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inline + clone_() const overridetensorwrapper::allocator::Eigen< FloatType, Rank >inlineprotectedvirtual + clone_as() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inline + const_base_pointer typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > + const_base_reference typedeftensorwrapper::allocator::Eigen< FloatType, Rank > + const_buffer_base_reference typedeftensorwrapper::allocator::AllocatorBase + const_eigen_buffer_reference typedeftensorwrapper::allocator::Eigen< FloatType, Rank > + const_eigen_layout_reference typedeftensorwrapper::allocator::Eigen< FloatType, Rank > + const_runtime_view_reference typedeftensorwrapper::allocator::AllocatorBase + construct(LayoutType &&layout, FloatType value)tensorwrapper::allocator::Eigen< FloatType, Rank >inline + Eigen(runtime_view_type rv)tensorwrapper::allocator::Eigen< FloatType, Rank >inlineexplicit + eigen_buffer_pointer typedeftensorwrapper::allocator::Eigen< FloatType, Rank > + eigen_buffer_reference typedeftensorwrapper::allocator::Eigen< FloatType, Rank > + eigen_buffer_type typedeftensorwrapper::allocator::Eigen< FloatType, Rank > + eigen_layout_pointer typedeftensorwrapper::allocator::Eigen< FloatType, Rank > + eigen_layout_type typedeftensorwrapper::allocator::Eigen< FloatType, Rank > + layout_pointer typedeftensorwrapper::allocator::AllocatorBase + layout_type typedeftensorwrapper::allocator::AllocatorBase + make_eigen_allocator(unsigned int rank, runtime_view_type rv) (defined in tensorwrapper::allocator::Eigen< FloatType, Rank >)tensorwrapper::allocator::Eigen< FloatType, Rank >static + operator!=(const Eigen< FloatType2, Rank2 > &rhs) const noexcepttensorwrapper::allocator::Eigen< FloatType, Rank >inline + tensorwrapper::allocator::Replicated::operator!=(const AllocatorBase &rhs) const noexcepttensorwrapper::allocator::AllocatorBaseinline + operator==(const Eigen< FloatType2, Rank2 > &rhs) const noexcepttensorwrapper::allocator::Eigen< FloatType, Rank >inline + tensorwrapper::allocator::Replicated::operator==(const AllocatorBase &rhs) const noexcepttensorwrapper::allocator::AllocatorBaseinline + PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< AllocatorBase >protected + PolymorphicBase(const PolymorphicBase &other)=defaulttensorwrapper::detail_::PolymorphicBase< AllocatorBase >protected + rebind(buffer_base_reference buffer)tensorwrapper::allocator::Eigen< FloatType, Rank >static + rebind(const_buffer_base_reference buffer)tensorwrapper::allocator::Eigen< FloatType, Rank >static + runtime() noexcepttensorwrapper::allocator::AllocatorBaseinline + runtime() const noexcepttensorwrapper::allocator::AllocatorBaseinline + runtime_view_reference typedeftensorwrapper::allocator::AllocatorBase + runtime_view_type typedeftensorwrapper::allocator::AllocatorBase + string_type typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > + to_string() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inline + to_string_() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inlineprotectedvirtual + ~PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< AllocatorBase >virtual
diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1Eigen.html b/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1Eigen.html index f661faf9..b706ce0b 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1Eigen.html +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1Eigen.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
@@ -194,6 +194,10 @@ using const_base_reference = const base_type &  Read-only reference to an object of type base_type.
  + +using base_rvalue = base_type && + Mutable rvalue reference to an object of type base_type.
+  using base_pointer = std::unique_ptr< base_type >  Pointer to an object of type base_type.
@@ -313,7 +317,8 @@  Implements are_equal_ assuming the derived class implements operator==. More...
  -virtual string_type to_string_ () const +virtual string_type to_string_ () const + Should be overridden by the derived class to provide logging details.
 

Detailed Description

diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1Local-members.html b/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1Local-members.html index ceb8701b..60254075 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1Local-members.html +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1Local-members.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
@@ -83,31 +83,32 @@ are_equal_impl_(const_base_reference rhs) const noexcepttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inlineprotected base_pointer typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > base_reference typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > - base_type typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > - buffer_base_pointer typedeftensorwrapper::allocator::AllocatorBase - buffer_base_reference typedeftensorwrapper::allocator::AllocatorBase - buffer_base_type typedeftensorwrapper::allocator::AllocatorBase - clone() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inline - clone_() const=0tensorwrapper::detail_::PolymorphicBase< AllocatorBase >protectedpure virtual - clone_as() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inline - const_base_pointer typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > - const_base_reference typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > - const_buffer_base_reference typedeftensorwrapper::allocator::AllocatorBase - const_runtime_view_reference typedeftensorwrapper::allocator::AllocatorBase - layout_pointer typedeftensorwrapper::allocator::AllocatorBase - layout_type typedeftensorwrapper::allocator::AllocatorBase - operator!=(const AllocatorBase &rhs) const noexcepttensorwrapper::allocator::AllocatorBaseinline - operator==(const AllocatorBase &rhs) const noexcepttensorwrapper::allocator::AllocatorBaseinline - PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< AllocatorBase >protected - PolymorphicBase(const PolymorphicBase &other)=defaulttensorwrapper::detail_::PolymorphicBase< AllocatorBase >protected - runtime() noexcepttensorwrapper::allocator::AllocatorBaseinline - runtime() const noexcepttensorwrapper::allocator::AllocatorBaseinline - runtime_view_reference typedeftensorwrapper::allocator::AllocatorBase - runtime_view_type typedeftensorwrapper::allocator::AllocatorBase - string_type typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > - to_string() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inline - to_string_() const (defined in tensorwrapper::detail_::PolymorphicBase< AllocatorBase >)tensorwrapper::detail_::PolymorphicBase< AllocatorBase >inlineprotectedvirtual - ~PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< AllocatorBase >virtual + base_rvalue typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > + base_type typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > + buffer_base_pointer typedeftensorwrapper::allocator::AllocatorBase + buffer_base_reference typedeftensorwrapper::allocator::AllocatorBase + buffer_base_type typedeftensorwrapper::allocator::AllocatorBase + clone() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inline + clone_() const=0tensorwrapper::detail_::PolymorphicBase< AllocatorBase >protectedpure virtual + clone_as() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inline + const_base_pointer typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > + const_base_reference typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > + const_buffer_base_reference typedeftensorwrapper::allocator::AllocatorBase + const_runtime_view_reference typedeftensorwrapper::allocator::AllocatorBase + layout_pointer typedeftensorwrapper::allocator::AllocatorBase + layout_type typedeftensorwrapper::allocator::AllocatorBase + operator!=(const AllocatorBase &rhs) const noexcepttensorwrapper::allocator::AllocatorBaseinline + operator==(const AllocatorBase &rhs) const noexcepttensorwrapper::allocator::AllocatorBaseinline + PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< AllocatorBase >protected + PolymorphicBase(const PolymorphicBase &other)=defaulttensorwrapper::detail_::PolymorphicBase< AllocatorBase >protected + runtime() noexcepttensorwrapper::allocator::AllocatorBaseinline + runtime() const noexcepttensorwrapper::allocator::AllocatorBaseinline + runtime_view_reference typedeftensorwrapper::allocator::AllocatorBase + runtime_view_type typedeftensorwrapper::allocator::AllocatorBase + string_type typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > + to_string() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inline + to_string_() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inlineprotectedvirtual + ~PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< AllocatorBase >virtual
diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1Local.html b/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1Local.html index 3d765482..045063d5 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1Local.html +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1Local.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
@@ -152,6 +152,10 @@ using const_base_reference = const base_type &  Read-only reference to an object of type base_type.
  + +using base_rvalue = base_type && + Mutable rvalue reference to an object of type base_type.
+  using base_pointer = std::unique_ptr< base_type >  Pointer to an object of type base_type.
@@ -227,7 +231,8 @@  Derived classes should override this method to implement are_equal. More...
  -virtual string_type to_string_ () const +virtual string_type to_string_ () const + Should be overridden by the derived class to provide logging details.
 

Detailed Description

diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1Replicated-members.html b/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1Replicated-members.html index 476fd458..358cddc4 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1Replicated-members.html +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1Replicated-members.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
@@ -83,31 +83,32 @@ are_equal_impl_(const_base_reference rhs) const noexcepttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inlineprotected base_pointer typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > base_reference typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > - base_type typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > - buffer_base_pointer typedeftensorwrapper::allocator::AllocatorBase - buffer_base_reference typedeftensorwrapper::allocator::AllocatorBase - buffer_base_type typedeftensorwrapper::allocator::AllocatorBase - clone() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inline - clone_() const=0tensorwrapper::detail_::PolymorphicBase< AllocatorBase >protectedpure virtual - clone_as() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inline - const_base_pointer typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > - const_base_reference typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > - const_buffer_base_reference typedeftensorwrapper::allocator::AllocatorBase - const_runtime_view_reference typedeftensorwrapper::allocator::AllocatorBase - layout_pointer typedeftensorwrapper::allocator::AllocatorBase - layout_type typedeftensorwrapper::allocator::AllocatorBase - operator!=(const AllocatorBase &rhs) const noexcepttensorwrapper::allocator::AllocatorBaseinline - operator==(const AllocatorBase &rhs) const noexcepttensorwrapper::allocator::AllocatorBaseinline - PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< AllocatorBase >protected - PolymorphicBase(const PolymorphicBase &other)=defaulttensorwrapper::detail_::PolymorphicBase< AllocatorBase >protected - runtime() noexcepttensorwrapper::allocator::AllocatorBaseinline - runtime() const noexcepttensorwrapper::allocator::AllocatorBaseinline - runtime_view_reference typedeftensorwrapper::allocator::AllocatorBase - runtime_view_type typedeftensorwrapper::allocator::AllocatorBase - string_type typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > - to_string() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inline - to_string_() const (defined in tensorwrapper::detail_::PolymorphicBase< AllocatorBase >)tensorwrapper::detail_::PolymorphicBase< AllocatorBase >inlineprotectedvirtual - ~PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< AllocatorBase >virtual + base_rvalue typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > + base_type typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > + buffer_base_pointer typedeftensorwrapper::allocator::AllocatorBase + buffer_base_reference typedeftensorwrapper::allocator::AllocatorBase + buffer_base_type typedeftensorwrapper::allocator::AllocatorBase + clone() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inline + clone_() const=0tensorwrapper::detail_::PolymorphicBase< AllocatorBase >protectedpure virtual + clone_as() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inline + const_base_pointer typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > + const_base_reference typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > + const_buffer_base_reference typedeftensorwrapper::allocator::AllocatorBase + const_runtime_view_reference typedeftensorwrapper::allocator::AllocatorBase + layout_pointer typedeftensorwrapper::allocator::AllocatorBase + layout_type typedeftensorwrapper::allocator::AllocatorBase + operator!=(const AllocatorBase &rhs) const noexcepttensorwrapper::allocator::AllocatorBaseinline + operator==(const AllocatorBase &rhs) const noexcepttensorwrapper::allocator::AllocatorBaseinline + PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< AllocatorBase >protected + PolymorphicBase(const PolymorphicBase &other)=defaulttensorwrapper::detail_::PolymorphicBase< AllocatorBase >protected + runtime() noexcepttensorwrapper::allocator::AllocatorBaseinline + runtime() const noexcepttensorwrapper::allocator::AllocatorBaseinline + runtime_view_reference typedeftensorwrapper::allocator::AllocatorBase + runtime_view_type typedeftensorwrapper::allocator::AllocatorBase + string_type typedeftensorwrapper::detail_::PolymorphicBase< AllocatorBase > + to_string() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inline + to_string_() consttensorwrapper::detail_::PolymorphicBase< AllocatorBase >inlineprotectedvirtual + ~PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< AllocatorBase >virtual
diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1Replicated.html b/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1Replicated.html index 4fce0eb6..751c96dd 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1Replicated.html +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1allocator_1_1Replicated.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
@@ -153,6 +153,10 @@ using const_base_reference = const base_type &  Read-only reference to an object of type base_type.
  + +using base_rvalue = base_type && + Mutable rvalue reference to an object of type base_type.
+  using base_pointer = std::unique_ptr< base_type >  Pointer to an object of type base_type.
@@ -228,7 +232,8 @@  Derived classes should override this method to implement are_equal. More...
  -virtual string_type to_string_ () const +virtual string_type to_string_ () const + Should be overridden by the derived class to provide logging details.
 

Detailed Description

diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1buffer_1_1BufferBase-members.html b/tensorwrapper_cxx_api/classtensorwrapper_1_1buffer_1_1BufferBase-members.html index d81342b8..0d53aca4 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1buffer_1_1BufferBase-members.html +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1buffer_1_1BufferBase-members.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
@@ -73,15 +73,13 @@

This is the complete list of members for tensorwrapper::buffer::BufferBase, including all inherited members.

- - - - - - - - - + + + + + + + @@ -97,29 +95,20 @@ - - - - - - + + - - - - - - - - - - - + + + + + +
addition(label_type this_labels, const_labeled_buffer_reference rhs) consttensorwrapper::buffer::BufferBaseinline
addition_assignment(label_type this_labels, const_labeled_buffer_reference rhs)tensorwrapper::buffer::BufferBaseinline
addition_assignment_(label_type this_labels, const_labeled_buffer_reference rhs)tensorwrapper::buffer::BufferBaseinlineprotectedvirtual
are_different(const_base_reference rhs) const noexcepttensorwrapper::detail_::PolymorphicBase< BufferBase >inline
are_equal(const_base_reference rhs) const noexcepttensorwrapper::detail_::PolymorphicBase< BufferBase >inline
are_equal_(const_base_reference rhs) const noexcept=0tensorwrapper::detail_::PolymorphicBase< BufferBase >protectedpure virtual
are_equal_impl_(const_base_reference rhs) const noexcepttensorwrapper::detail_::PolymorphicBase< BufferBase >inlineprotected
base_pointer typedeftensorwrapper::detail_::PolymorphicBase< BufferBase >
base_reference typedeftensorwrapper::detail_::PolymorphicBase< BufferBase >
are_different(const_base_reference rhs) const noexcepttensorwrapper::detail_::PolymorphicBase< BufferBase >inline
are_equal(const_base_reference rhs) const noexcepttensorwrapper::detail_::PolymorphicBase< BufferBase >inline
are_equal_(const_base_reference rhs) const noexcept=0tensorwrapper::detail_::PolymorphicBase< BufferBase >protectedpure virtual
are_equal_impl_(const_base_reference rhs) const noexcepttensorwrapper::detail_::PolymorphicBase< BufferBase >inlineprotected
base_pointer typedeftensorwrapper::detail_::PolymorphicBase< BufferBase >
base_reference typedeftensorwrapper::detail_::PolymorphicBase< BufferBase >
base_rvalue typedeftensorwrapper::detail_::PolymorphicBase< BufferBase >
base_type typedeftensorwrapper::detail_::PolymorphicBase< BufferBase >
buffer_base_pointer typedeftensorwrapper::buffer::BufferBase
buffer_base_reference typedeftensorwrapper::buffer::BufferBase
const_base_reference typedeftensorwrapper::detail_::PolymorphicBase< BufferBase >
const_buffer_base_pointer typedeftensorwrapper::buffer::BufferBase
const_buffer_base_reference typedeftensorwrapper::buffer::BufferBase
const_labeled_buffer_reference typedeftensorwrapper::buffer::BufferBase
const_layout_reference typedeftensorwrapper::buffer::BufferBase
has_layout() const noexcepttensorwrapper::buffer::BufferBaseinline
label_type typedeftensorwrapper::buffer::BufferBase
labeled_buffer_type typedeftensorwrapper::buffer::BufferBase
labeled_const_buffer_type typedeftensorwrapper::buffer::BufferBase
const_layout_reference typedeftensorwrapper::buffer::BufferBase
has_layout() const noexcepttensorwrapper::buffer::BufferBaseinline
layout() consttensorwrapper::buffer::BufferBaseinline
layout_pointer typedeftensorwrapper::buffer::BufferBase
layout_type typedeftensorwrapper::buffer::BufferBase
operator!=(const BufferBase &rhs) const noexcepttensorwrapper::buffer::BufferBaseinline
operator()(label_type labels)tensorwrapper::buffer::BufferBase
operator()(label_type labels) consttensorwrapper::buffer::BufferBase
operator=(const BufferBase &rhs)tensorwrapper::buffer::BufferBaseinlineprotected
operator==(const BufferBase &rhs) const noexcepttensorwrapper::buffer::BufferBaseinline
permute(label_type this_labels, label_type out_labels) consttensorwrapper::buffer::BufferBaseinline
permute_assignment(label_type this_labels, const_labeled_buffer_reference rhs)tensorwrapper::buffer::BufferBaseinline
permute_assignment_(label_type this_labels, const_labeled_buffer_reference rhs)tensorwrapper::buffer::BufferBaseinlineprotectedvirtual
PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< BufferBase >protected
PolymorphicBase(const PolymorphicBase &other)=defaulttensorwrapper::detail_::PolymorphicBase< BufferBase >protected
string_type typedeftensorwrapper::detail_::PolymorphicBase< BufferBase >
to_string() consttensorwrapper::detail_::PolymorphicBase< BufferBase >inline
to_string_() const (defined in tensorwrapper::detail_::PolymorphicBase< BufferBase >)tensorwrapper::detail_::PolymorphicBase< BufferBase >inlineprotectedvirtual
~PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< BufferBase >virtual
PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< BufferBase >protected
PolymorphicBase(const PolymorphicBase &other)=defaulttensorwrapper::detail_::PolymorphicBase< BufferBase >protected
string_type typedeftensorwrapper::detail_::PolymorphicBase< BufferBase >
to_string() consttensorwrapper::detail_::PolymorphicBase< BufferBase >inline
to_string_() consttensorwrapper::detail_::PolymorphicBase< BufferBase >inlineprotectedvirtual
~PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< BufferBase >virtual
diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1buffer_1_1BufferBase.html b/tensorwrapper_cxx_api/classtensorwrapper_1_1buffer_1_1BufferBase.html index a398abff..4e9aba96 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1buffer_1_1BufferBase.html +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1buffer_1_1BufferBase.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
@@ -136,22 +136,6 @@ using layout_pointer = typename layout_type::layout_pointer  Type of a pointer to the layout.
  - -using label_type = std::string - Type of labels for making a labeled buffer.
-  - -using labeled_buffer_type = dsl::Labeled< buffer_base_type, label_type > - Type of a labeled buffer.
-  - -using labeled_const_buffer_type = dsl::Labeled< const buffer_base_type > - Type of a labeled read-only buffer (n.b. labels are mutable)
-  - -using const_labeled_buffer_reference = const labeled_const_buffer_type & - Type of a read-only reference to a labeled_buffer_type object.
-  - Public Types inherited from tensorwrapper::detail_::PolymorphicBase< BufferBase > using base_type = BufferBase @@ -165,6 +149,10 @@ using const_base_reference = const base_type &  Read-only reference to an object of type base_type.
  + +using base_rvalue = base_type && + Mutable rvalue reference to an object of type base_type.
+  using base_pointer = std::unique_ptr< base_type >  Pointer to an object of type base_type.
@@ -186,24 +174,6 @@ const_layout_reference layout () const  Retrieves the layout of *this. More...
  -buffer_base_reference addition_assignment (label_type this_labels, const_labeled_buffer_reference rhs) - Set this to the result of *this + rhs. More...
-  -buffer_base_pointer addition (label_type this_labels, const_labeled_buffer_reference rhs) const - Returns the result of *this + rhs. More...
-  -buffer_base_reference permute_assignment (label_type this_labels, const_labeled_buffer_reference rhs) - Sets *this to a permutation of rhs. More...
-  -buffer_base_pointer permute (label_type this_labels, label_type out_labels) const - Returns a copy of *this obtained by permuting *this. More...
-  -labeled_buffer_type operator() (label_type labels) - Associates labels with the modes of *this. More...
-  -labeled_const_buffer_type operator() (label_type labels) const - Associates labels with the modes of *this. More...
-  bool operator== (const BufferBase &rhs) const noexcept  Is *this value equal to rhs? More...
  @@ -248,14 +218,6 @@ BufferBase & operator= (const BufferBase &rhs)  Replaces the state in *this with a deep copy of the state in rhs. More...
  - -virtual buffer_base_reference addition_assignment_ (label_type this_labels, const_labeled_buffer_reference rhs) - Derived class should overwrite to implement addition_assignment.
-  - -virtual buffer_base_reference permute_assignment_ (label_type this_labels, const_labeled_buffer_reference rhs) - Derived class should overwrite to implement permute_assignment.
-  - Protected Member Functions inherited from tensorwrapper::detail_::PolymorphicBase< BufferBase >  PolymorphicBase () noexcept=default  No-op default ctor. More...
@@ -273,7 +235,8 @@  Derived classes should override this method to implement are_equal. More...
  -virtual string_type to_string_ () const +virtual string_type to_string_ () const + Should be overridden by the derived class to provide logging details.
 

Detailed Description

@@ -435,112 +398,6 @@

Member Function Documentation

- -

◆ addition()

- -
-
- - - - - -
- - - - - - - - - - - - - - - - - - -
buffer_base_pointer tensorwrapper::buffer::BufferBase::addition (label_type this_labels,
const_labeled_buffer_reference rhs 
) const
- 		-inline
-
- -

Returns the result of *this + rhs.

-

This method is the same as addition_assignment except that the result is returned in a newly allocated buffer instead of overwriting *this.

-
Parameters
- - - -
[in]this_labelsthe labels for the modes of *this.
[in]rhsThe buffer to add to *this.
-
-
-
Returns
The buffer resulting from adding *this to rhs.
-
Exceptions
- - - -
std::bad_allocif there is a problem copying *this. Strong throw guarantee.
???If addition_assignment throws when adding rhs to the copy of *this. Same throw guarantee.
-
-
- -
-
- -

◆ addition_assignment()

- -
-
- - - - - -
- - - - - - - - - - - - - - - - - - -
buffer_base_reference tensorwrapper::buffer::BufferBase::addition_assignment (label_type this_labels,
const_labeled_buffer_reference rhs 
)
- 		-inline
-
- -

Set this to the result of *this + rhs.

-

This method will overwrite the state of *this with the result of adding the original state of *this to that of rhs. Depending on the value this_labels compared to the labels associated with rhs, it may be a permutation of rhs that is added to *this.

-
Parameters
- - - -
[in]this_labelsThe labels to associate with the modes of *this.
[in]rhsThe buffer to add into *this.
-
-
-
Exceptions
- - -
???Throws if the derived class's implementation throws. Same throw guarantee.
-
-
- -
-

◆ has_layout()

@@ -651,74 +508,6 @@

-

◆ operator()() [1/2]

- -
-
- - - - - - - - -
BufferBase::labeled_buffer_type tensorwrapper::buffer::BufferBase::operator() (label_type labels)
-
- -

Associates labels with the modes of *this.

-

This method is used to create a labeled buffer object by pairing *this with the provided labels. The resulting object is capable of being composed via the DSL.

-
Parameters
- - -
[in]labelsThe indices to associate with the modes of *this.
-
-
-
Returns
A DSL term pairing *this with labels.
-
Exceptions
- - -
NoneNo throw guarantee.
-
-
- -
-
- -

◆ operator()() [2/2]

- -
-
- - - - - - - - -
BufferBase::labeled_const_buffer_type tensorwrapper::buffer::BufferBase::operator() (label_type labels) const
-
- -

Associates labels with the modes of *this.

-

This method is the same as the non-const version except that the result contains a read-only reference to *this.

-
Parameters
- - -
[in]labelsThe labels to associate with *this.
-
-
-
Returns
A DSL term pairing *this with labels.
-
Exceptions
- - -
NoneNo throw guarantee.
-
-
-
@@ -804,115 +593,8 @@

-

◆ permute()

- -
-
- - - - - -
- - - - - - - - - - - - - - - - - - -
buffer_base_pointer tensorwrapper::buffer::BufferBase::permute (label_type this_labels,
label_type out_labels 
) const
- 		-inline
-
- -

Returns a copy of *this obtained by permuting *this.

-

This method simply calls permute_assignment on a copy of *this. See the description of permute_assignment for more details.

-
Parameters
- - - -
[in]this_labelsdummy indices representing the modes of *this in its current state.
[in]out_labelshow the user wants the modes of *this to be ordered.
-
-
-
Exceptions
- - - -
std::bad_allocif there is a problem allocating the copy. Strong throw guarantee.
???If the derived class's implementation of permute_assignment_ throws. Same throw guarantee.
-
-
- -
-
- -

◆ permute_assignment()

- -
-
- - - - - -
- - - - - - - - - - - - - - - - - - -
buffer_base_reference tensorwrapper::buffer::BufferBase::permute_assignment (label_type this_labels,
const_labeled_buffer_reference rhs 
)
- 		-inline
-
- -

Sets *this to a permutation of rhs.

-

rhs.rhs() are the dummy indices associated with the modes of the buffer in rhs and this_labels are the dummy indices associated with the buffer in *this. This method will permute rhs so that the resulting buffer's modes are ordered consistently with this_labels, i.e. the permutation is FROM the rhs.rhs() order TO the this_labels order. This is seemingly backwards when described out, but consistent with the intent of a DSL expression like t("i,j") = x("j,i"); where the intent is to set t equal to the transpose of x.

-
Parameters
- - - -
[in]this_labelsthe dummy indices for the modes of *this.
[in]rhsThe tensor to permute.
-
-
-
Returns
*this after setting it equal to a permutation of rhs.
-
Exceptions
- - -
???If the derived class's implementation of permute_assignment_ throws. Same throw guarantee.
-
-
- -
-
-
The documentation for this class was generated from the following files: diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1SmoothView-members.html b/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1SmoothView-members.html index f77c9ec1..09f5fbf9 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1SmoothView-members.html +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1SmoothView-members.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1SmoothView.html b/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1SmoothView.html index c584af95..8f9c23d6 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1SmoothView.html +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1SmoothView.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1Smooth__coll__graph.map b/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1Smooth__coll__graph.map index 405b4344..92a084bc 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1Smooth__coll__graph.map +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1Smooth__coll__graph.map @@ -1,5 +1,6 @@ - - + + + diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1Smooth__coll__graph.md5 b/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1Smooth__coll__graph.md5 index 0d1c7224..1df9a743 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1Smooth__coll__graph.md5 +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1Smooth__coll__graph.md5 @@ -1 +1 @@ -4683678612b48fc82234071feac4a502 \ No newline at end of file +d9afa840a829ad0f0a6caa1f94d37b1a \ No newline at end of file diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1Smooth__coll__graph.png b/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1Smooth__coll__graph.png index 833b9f3e56db4fb4de06ab7ce3797a520047e086..69ab9d9fe47c16babcfeb0b85079e321a97e59ce 100644 GIT binary patch literal 12018 zcmaia1yq#X`|St_s33?Ef>Hv~p&%gL($XLj(hU-V)F5GifDA}?N_R+ugfx=U-CYtA z_u>1+{jYo1U3Z-25W~FhIp>MJ_p?7eSCGQJPI?`IK;TM06IVtc&~o5wCu}tMALAxX zCcI!8$V!PLE-wEi)?|bt5R?dMaS>IQ*o}#|!YUd=i0!|kh>^zh5L$eqhBP(&NVMzp zIG?@iIT@*Ey>U|1b2RHcdev93Ur4OHS1U=T4j9wSRabH>@m9mP9&D$h5qZO&!zev@ z*c!LRHF5=gag|z=iS}in<6Nh%e$%H7F*kbR|KM0i1OOy>wAW0m%s3O zbscs2t$t*(tYBMP+eopgBGL~{7}?g@xxR&uKqOL}uE-&RTlwDZ8eRTkYHsg%J01&x zqrIOeznzJVLvi=+-FNTao!!5RK;|2vfH=kW@Z}n z*;|6{yB+TukH<$wn%UUoB_++Qu0|&$1d~}>SP(I5)*C&N3MQ{HYD2w$k7@BRhTAq? z(4#UuTwPeW{&%6_Yd1ML91;Aqv^4A_KIcs{OUoO6jS6S|eSPj89@o4Rf0->VE*2IR zs!kYbYmdptJo#Q(`G^FEkFP2Ld9LMI70WAglbD#8+oY4ET6*`jv2j{{KATTNB>Stz zOqGmp&0&>ec}&cfMB7fVPA_LsnP-ZMTLaWzYiiDBetgKxxOcO4Y^TtY%V zo?nZGAcV%;(9qDr!gZ-TZfI!e_is(QPzIua1VN9ioE-PHq1-=z{=~+{E-#x^hnn}N zA0Hj5s;b(3f9dS(OhG|0ZUcX;ufM(5BLqu*^|?QbR*SzkVG&Kl>|<`WzT| zaCo>in&AJO{?6jkQt;i!i$^JVEeBp~wNbkT2RW$N8Fe7OZVT0BpmlJnRlt{L`vOt|-;BkI5G z=Sf41iD9d$s!nH6hkR_%=XXE)LL*H^7Bf-hJoo0bExu|kg2OhJJN8)I~I6k^$7shd{X{$zjU)2B}rVj1VCKO1Aj zBqYzA#wuPvC^bJl+Tls~GRle!Dte!ChnV<*Z&r5pPJd1gb1cTsk=y~A#5HEhYc9@T zFd$osoonc(Avv(AVAs4UvAv%wE5ouGnV5cPN6FE7CZ?yq$G5Px<>uxVdOh1TT55U! z-aSzKlR(Mr?Cj7^=F`*D`RehWo~^z#*}Bu+fDa!& z#KdT8YsbLOJg1+x|6YN9zHDV+;GIB#AyPBc-@gY7(8znav%C9)1r+0pT%c=De=ZwfW7UcH)GTqGhV*VWQ$o7+*(*WK9Iur@RMeXzjF$_jf0IowQf zCLkc-yfI4qmQFIQ$^a27pDk=_r zsnU>`EiEk!3=GP8d0APjv$Ky3nm&HI{gB$Xy1F_#I@*Z#iiwE{)ES)X*A3W7LPA0y z+QY{ytwxHvVz|lf-n}p6dD`fABSkV0)jyfS`{rwW{A6FBfw}q0+FF&%jzN~rkPYpB zcU(>QbJEB?<7suO>LAQC{zCr&Ad&-&ghAg@D~*QO;e8 zpM@otK_z{>;7~PF!sFpXCL88LP4|P< z!7pFF9336yX?wW4b8>O*?d^SkX=7w$^zvowEcHri4-pk3qXmQ$FE8))Q6cCfYBk{) zKeLi$U$K+y?Cf-PbsY&=YL)shNJ~o}1qo{^Dcy=wXl;IDZEgMF!2{@6TwGiaVZkxr@`1t6gsArm8y7 z8TEL_kc^D%@#A8*!%Z%3ZZ@4tRax1!go{&C4-b!5uae%q6Ooj}+#HJAZAu+4YSfXX z3Pt7(FKumY&Cc#F|4M;SKKpxkvHb%NrLwua{Ijj?*U(URXJ^>UYz2vT#$PqU)yyig zvKXnTUhU4exw^V`M6g|KAuj^Z*JPN9w6(N6j%Gf<*+43zVvM>JEPU-y&T ziq53TMi8;QNKH#yn4K*`UYxhINM;JqiV%t*>g|RsrM;L38iXnFb98H7$jWACWyvUP z=(mYkxwsrben_L-k9X6ca6yl?s|pP4iWhL(o`cTiO$lgWyMKCm8kg+J7Xb!E=8PP> zVdbBwTeFI35)u+R8O%{8SFy05^f>C=&HCr8?62dpX%%5m-60_88y`PyIat~|o|&03 zZ27FDuKwoDoA8%nnZ==`NjYk$+i*f6L8GHDUVbo#u(o|kaS675Xz9JYU0^#U=uP?g z^XJX+?+$;~M}DP9b>!cd)B0||&=&e|ZEfxGbK{&Qz#LL~1gE9vaiFH8qy&L&XJ-fa=3s4jp)*gaIbuOWOnsT!k(S^S zt6pujQ5(UH8v*a%zlWL$AVRC-GBXbr{NAy!uzdgiot&H;o9Y;{<~E(2oulLF`QNQj z6bi~+*w?RBLS}~@w;zlc`z^qFen|0X-8bWm_Vbf?{=7HpvFVrbDkCp~K11ah@3)Dp_q6`*Y<(ORW5t-|Zo9%WbE^FS4th z@1nJ_GBGD)W@Z9JG&5TceW-|m*6en_WN*rl3*5JFlWO!0mUmx8J*e-?-}=q-fP;09>I8i;W$h zob+5B$b>|Oe3OYUgdL=ms+(Z`7E|iOd+%nTq=U0_M1op%2mZ4+S~J{F->m;``gGg0 zGxF7|S0ND*OPiZPV>{fGGBPsIP~_+yb8!*2v05`{SKD*15%-&MDk}CokP6DttE=s& zGc=qdWKwTxZPkA90-6Xwtm*BUA4QC89iN_eGqznT>LGe{xH&Ne1t^R`rE-TD9qPr0 zce*l1untK{NdQv^r^kDQoETwvn?XsHGU(fvy}`pom>8d0dUq|qPF+PM20$IM6%8@F zM;0Z=LP&V^JbPyE7`9h^{Jf$5m4U(R`ug~k(y5|?g2J$Dal;o*C>klZr)%0Mf(o1AAWKY?u}+6a)nK(j#;R#I&;NX z`cv50qd&=G<+fOun2e6t?82RKeB4m2>QaspAiQJw-xk%SAUvp`yY6<|3&^5%c6OfZ zHkoH6%rjtLuH;pbOm1#Ix!^qU9lIOX+qWiJva<*%eId6z4`iO9Qsd(nKi={P32q#| zEv73hER6inJ5plaFL<`!e;$NJPvkU1YAlSrkMK(VB%WHdyS!C*aom8uS>x6dFOYpZ zK-$=tHsoXKrqJ20F_x#kMb28K`K%H0^)e#spXNB{s-qR-^z{kn#@ zIer-yABUG7X`8wjdD4|qA zu^|Ot88cfxGu6y)sik6Am>G45W>JQwTs&{F#W;`8?(WI%t}APKZFTkeN`DrU2Knpn zxJSx@*49ppEQ#a=nw2s#cI~(bcKkDjYwR2xQGCue|FB2HLQT}xTQ|32!`ASLszdmE znKy5iRK2=}hKJM>IHf)MQiTS;yPUny)MBVNztW9oGs(Vz&RtMqq~>0)0s+@a4+54(L`9+Vwb33 z-K~d2I*MfMQJ;fu77kD$5W=^nnQ0MyynNc{OG4R?AF0pwoJmSPHSg6Rz&9#=3`~2YpmQMo- zuq{~cYc~UfWT?kbsI#*zJv{|&axycu3iPjpw%rqO-AB>Nl9G~si?f=nehXX(`ref* zR}5Q&nm0H&I50%Q!o#V3p%C_%VLwj;NYH&1kXydU)1BC%e_=^wf1%y z-(INbCSB2fY_lQjNT5`3y~?U8Hy0O-t5@#}xQ3lPn6=5)$d8As78!S3VzJ{5`$c-* zm%!%i?ARx1jx|@qZi(`f=dYdYbDC%s9$?d4LHwMXHE=pVjV>u6bXfd-*nU$@bvZm- z4lj5|HUd!j?&17=Z%$6BV#4OpM)_|F=4@!pa&YJGW`$Kzx_l`IOCM^)X-`CiR>O*8|4Qpy;TmmCems&$APVpr7XdL~CkZWDbL@4h6q@utE53 z?L!d)M19Qn?}0j1L)uAV%PZ!;N23+ubEf)Aq zVks`(ghk<=n3q>;zt9d{cBv|%FZ|o$WZ#|F%B?^M>29@fI7p`+Hf%$dkqd$NC zY-*z6;Mi%UKsHg7;frRg=SDv=_D7*md3kwpaXRYi&{z8*Zl75Fwp(Z?^nI?b9&Y3$ zlO;5moSMq{c6UA)*d=V8>YP6zQ@Ub8w?6w&zMid>mHT4nU9FAXC3@cR_qb&K0RgZ1 z4j_Dub1!p|VhmqhTiXrrXQ|~dlmMU<`I?2WqqCr6xU9kFLHK24W&IO9uRb#ii2p}ZW&=e)YMwxhsvuiI^_Mk?i3Nl8gg zZtmXhE^x#4jt*jGO)nvVrGnt0lOiKc}XqhKAI2bOh+> z%?7?HmD^1GOECDsqFFEv0z*ZdE3;F3(NIPPM@Mk(-|2_m2ppTEgc=anj10B3MgSh& z5|vxLu(3=1x8_3e*rXH4^H83SwuT0`d0*pQc-M9F3WOdcl{34!7Nnw>wk51+5 z);xOhBf{l$AkMsgK)v1gahE<%3UkH${I=P71QI1vltd zA5OXf)&rDg?dJA3MJjkGM@#GgiW#KdzA?3;Ky z=M?uyaMgLRKXS_8EX_L~9YNxbgNq9_`XgHtAZ)mCyldAOn3=6CEvwuPSwH+}pkPj| zgnUnzkAWoPd-_zITFK3=N|U*)puo<-;RYUFeooH(jtevv5G%q@w?$sRer;}H@ziyn zUhraTW#zl&Fl*Zu8qG|crKKeli}}SxIvSd1Hu5qum9OU{9US(E_1qhl_IU3F<^0*~ zQCjtTr<}oT>ETN1pg3HY0T%=ySyNi>oSKoL@#2L)Ta)3VD9{rE0|G#ghgdr~JDf5! zFaV%nRP$%D#tnL8&bM#)*Zm9%kAU786#nk*wFBh|4lp-AKR+|`c(;S?{{8!D=_8Xs^BNx?4+{%}8V$HlLqnqu#C?$9 z!Vb*QsW`1iOa2~ixxp_~RW-G>O^uAqEG(#f`}+HZj^{(AL+Nf|a6lhXz!LHYwId*) z!v_m*d&P#0Ex*R?uwCX7>%Z9?zkBD-!0+E?rl#C(f7U@kwOE4|^u%`Z6ow4&=PxVl z-kqF2EUl4pSYHftV_J0nBu`WrS?!RqzrRvV;Rz6Y(sV^R!g>5vK6F=TBf~5GfV6V! zju&G9K%}Rp=4hAa6&C&)ALr-c(Nq|51`%y`b{2MacyO>#GY81sY`%V(&BV#Uu-?TS z#RVnyEF1Dz*2Se_AOiY>Vk}P~bmoX+XFEHdx4Wr1H1+lM`k)O#^R>0H0g3XBgF|Sw z%n#6L;hurm15F2bm)PAYYrXaBUKQ`cr2nywK??r!k~?1SK$UvH&ThwZnjPlUG5OA& zX-fAq?o_1Os)rWPoH&6PDGozodcJ2!m{8M^DSV7G8tCs$Ltn zZ(y~#xe2EUEh6Q`<-sBLg~;<~#=rk<4O$3`7@qs9LglMlN7SBgd9|L;n+D!+BCqy! z`t%qpLvcyKrCvoj`I;ZKFMc-yv5bDHlb?vdBX|_cTlcd(ed^#~rpM8%*@-IS3h}Gb zC?53X)t$K|q0_|Q#<#F1?GoCl=3ub`78KZbNMQ&B+BNr=x<-lum+JS))HN-VgD4aT z?pm#$GA4@?bFB{Zhi|2#qj4TQ@C#z+#GPllR(b7mc(trTN9Q`%I(*HqRPX6xxt2Z*Nc(`F+)qWe91h`?otf!zIN=P31gITU zi?jQ`DAA=sjK)*ms?dN=t*lHyNC;9pbYb8QtS>8sYf^2qcKTNKq4arfH(;sWSJM)E zmP^V{pLO;^n@n7y>vSO^a&Kwa*H>%cq*#6~&Z&?jDZ{AEwO2Q-O7bX}CPurxx zv4G9{{P80Xz+~k49t9{xP^Fa19TNS~zQH3aD~N={+tr_mzYPvBTgL*S9Ds&LeVN6s zUJd%bFd~YIQqo&;_RHR}87WFDDpF=9dPqYv?fpSB!=jp*=!V8zZg%zq+N0xR>CI5d z6fI3n;8=0I4wC2io}Qi&tU4zP5qkXm{80Y^8deq~*?&V!Awlc~FfpL^z*d~_QHx@x zXiL%PuY>>wJX|qrK?IJ4yu3gj#%NWlE(r+nGfPX(An=3e`%bt3)L&3NrKF^^_>{!C zbWt>*x%Kt+Sy@@l<4~1a6eMS#c?(h=G}c3A!{}&XX$i)0GFSP1K8kBvMmazv(CIdx$Wnl zA(0o*U->;wRA~sHPk`F|GmDM+YiGRk5(05E=F$t0bGZS0gese73lGB#) z^)*A7y?M8}o|Nsn;PUID2M_<8W$ZpH9mV0hZGL4KVZcbgu-QuYBWXZ`{cQ44#BU07ip1C>D zFgZBrIwQLDE9GvA)Z?5SNvLr2)Z_?+3o-iUm=t1C;qBYA$r=rX`04?{l}F8P5aH}ZTD=JTlra%8k= z@xjD+&Q8PRxO-SQ(RdT+SIa;WF*(TdsW>>8SXd$`&Eouv_FRxMXaLD@aakZ<26)|1 zy?Sh$-uh%QPSgvNQOsrf)I^Ou!xYQSHw90G$5oV9QeswCdv9+6w0Wo;H5J+qA7%i- zfQRn5sci`VX@EG5D6$=~?3f1HL205_Kz`?vJy}*3#*u!0UY>zPmaRdusWI2+55wwD zpW-t!Yd?L;D=Tvql7|bN;L==~R>a(WM-hrVYBl4WZ3&#>;#8HF+t10xJwF+~c4X=T z4f5n9+JoXT48P>iX|I9quUTrL_Uzd+B-SG%CkHnx* zG>UVMr01M(i&oyD%l>^-ts52+@@t9;(LB3%%uJLG0&FPEII_qwNCYuu2oPTGEG+q( zQ~4Rc2H^TJ(Yk$Rz9^Kk)Q9I5riGEr3?aH3hR?mUEpf15GQY8fe?Gr6*P7sw{)J-5 z`<<2Wz|BY@q^GX#Bn+vqdE43Bi(;3Sl!%Lq1GERE3gvls*M7WzXy^$YUCWOjJ`MVx z@ALfu&A&o`g9DJ+OEIw@gM(Z`LKNIX0|U&O1zv4NK`>lvL($^m;tnVP9)vt}gt;Vi zuR_Dt*+0<6y(wj6Wp9Z(Z;r#vs)bgX=5Iz?+VRN=%)wKB0nLMHf2KC&@6l14(UP{o z!LJSazeh%t7SxPN|M5F0Z!HAjgWF>N;J}!j1O_2IPOEoHBbA-UocxTt8vku`*>m1d zi;m9H)osDWHAP-{w4VJJ{2a*A>BRw8;Fpg8jtA1dLBF zr(}We-Zg-5!+hsD87Zk5=L>MsNTWc`2b}`2`a@~pwL?==b(Tm*(WK{*2?;_bosm#m zRVEyroQjK!ucC>(e0k5O;ag^ANI$D-5bDRq@4_E_eFS(^$G-;$ow{Rr2L}h6o139y zVJATV@m6h=G!~i6EHArE*T2gP#zM>7N*m7iJKTz(c%cZ6 zCWh{u2rPus7e;{Z6V6Z8^0AXZyP1od?x~IR@e#APFA}Eg9U6jl#`8I|N~3^-D$2<< z-G6!zQ33!1%4XIWO#3tCVX3Xhz5{QL9m2Tor2(p^Qq|E3OaMt?hDNyCCXMcjjw#17 z%1Z&myKHS3c`4C12jKC$sgH5LyMm~vCuWd%N zSfE2!N~!FYa>ItCw^b^+UROX^)GO^IIA? zchl~h(fZL@0b z=~3+NI6FOM)v4U?V5@Th%Jcm@@WZIcNNhh*)`$SU>ELb{*B>#6;15`WGb3N8>J6w| zY;0`k=;#j~qyUiv5k!_KE&T-8A=cHa*8dZ2tYNad|g@Bw%B}G(bf~1=@^ZjwH*VYjtgyYk4I(mmaJlONn0aiWqU5nT|Ch?2FaMj$YnArxbi*3K zu4M1vaGQXDrkswJcB0~S%J=Wb0c^F?d&l=~N~yaYF3}$}3d_oN02a@CQJMujucX8g zbioRr*a?}uf>SM^FC=tOJpcc`k|-xFNZ0g~l(~%!z+Exmc?bzf%FO(PFQce9JTMT; zX^yI?0h#QzjEw(41dPHfD=I#da2U)seZr=K#tyCtEorZ)sFChCJ|Ayy5*$e*qxtob zV%l<6?J_IifS~WR22<48%`|>fN|`S?Gz-#6%g87%DbalK0<=F?-Rek-h|>T1VSZqU zFjo9zW4*{)R>DO4pRSVqf$g_!R}jKeB=n}2Gh;+=>wo-!71nn74D|HNN|)Y|-nwbI zdP;puOSkpkg)nLZSp58w+#nF_a=7g@`iq@WM?o%-5Fm!%AZD$0-Xbq8h1mTu!yY9E z+y`nO`1F+XU%)gVN9WgyBX}ro-+n+8@YjY8NylU_LH0ZVJ}j{Zr=12tb?4SC5mc%$ zWrfR5G9cyR;yoA>ZPS4jPF}w2^wga-0*p0xiHV2fbZS5h0k91N5?)@d*RKMaXF(5n z@9PV*Rp*J({-1722`r-EooN5c1f}#&2@!mr;Vj{5#F3Y_3c!jmw=XDQ2j(Ki60zyNR8@66J8@!-;IkR$x%t7T=Nshg)^`XcP7_5X>I1#JmT}|Jr4hdS^fe*h!E_uoc|hvg-57H|RV3 zzpTIAF_2*Mz6beTQTuDLD`u)f(BB2(x!&%HcsIuMgWjJZPg!i zt#fcXvu`s0b2)B7K~I<%U%h(O>dD`fV8KRn|D0#@;*+IbMLF1o@kDI@Z|emw@&QDc zKf5@}3%U;&kU&Ljlf?A7MNV#GVj}6mz={hI~IFRS=VCg`ft?3m71x*B3XGjEAsU&KN1W>L376YFdGZ7OIw#LTf#Kh^L zTy1db4FCG|c5VtR6~bGjz0&n$Y&bAMa)C)AXne|`KHR>2%^T?C_TF9<6iq|J6k*EW zbx0)4`k_>jwNgtLfuoXzrK_a{vyHWksnqJV^D5e<1_;ipm#l~N@6h?l@e)SD2OzCp z3{>!4MghJkbT6<2Whlf!HjP#~WzXNewBUKjH|TL!_a9dL%V)ZN5_xh{TTN}Svy+*J z=Ln>Qfo$+`Y%MILWoLKjv#)P#1mENBTTu%GYr|Iy8f@=2BTNhom?q7gSH0OF1>=>! zzkg_Ge>9gRcsIZ;bg-)C?tU7{VFcv^6!&%*?>K3i#m<%OVq# zJ$O@Le`i~d0=$xwskLs+o|8SXihSyn1+53HjL3_>ddDI+ze#*S&jYC9HF*_CSYpzP zYLZD=D1B9!`@@i`2*mT)b44^5)qP}zA@&I$EBr|ReBv)kd{yo&lA=6{$IamyOsa| literal 9545 zcmds-Wmr{hoA)=NbR!~N3QDUqC@CNy9n!Et1W9QS5J?3Il@Jspq+7Z}KxvTfknRSl zIrn|f%=0{R%=>DW@jL(j{aWRbECDVRE&_odke8EILm<$w;O9l` z%Wx!%eIE(`TsBpZl}22k{(PxPe~&;gAmpVbG~7O|Pq=H4TTpRrr9YO&q;jwnj~EbB z4d!`O_1uIhlt)5FMv>)v2Ja|EQuOkA%!WN6AjWV|HY0nC z`B>T|(zf;_D5la$-Kp%AlT=-uqbRF^k>GvVOi*hH5IIkK^_iJO|5#*j;6tL8Q~HoEvsjeQa- zo>m~0lC4`ZSA#@Z|Uum;ZAh8 zSbdpn_#R=8aIh>aEM6Q=xPC5VPkvzd+fhkLsd=_J#ORSkszUEa3`T$LpeB>^(_=Yh z<<>E~Is#vD1e^#VZeznKDJf}eWAnDw>%?@S<72tc#l5o6DJjg2O-(Zk3zw5rf@hk7 z=Ju9x6Zlb0jqQ#b`rY1&W?1=byJcOKrf?r`F?{`z)&4VC9+QyELci^cnU%y_` z)6gRs~nUZ$13-=X+KuHgeOo;llFg^Kbg*+B#yal_Db}DQ}x$mxZmZ&d!>4 zd=es)Od?Ks@U{`I^y@tl_sx;X#jK}vOGU|8Cbws2XDPc)D?WYtG+Z|2&0f+mG!*0R z;ZZa`uCJx3**uu@xXI9So$p4Z93?VTNKlZ6ot-^8I=W?LWkp9?8k6j`bWTOZ$B7!x znB|p~qV^c>Z-IfAqu;%Q8`xOxrTkeq%H7?)FgckiIx(?3O*yfvy1KgD0SgQ3$&)87 zdHNNNuuRXrC6Zr#eWr(-Qx>7T3o9#afrPYe5DV~@GSbpK^z?}?Wp+v&6yHKa@%hbu z5W7s*qh;DCDk|zce||eVE6Ws?tjI=Q)Yqr>wI%8!_efl+^+@B|`g#SGnUQjW=*P|k zv3Ri;M-k>07Iz>NF29V5in_U<@FFog+1=j3!KBJ{)Ao>0mHWB()SS^nL2`0(9z;$? zMz9{NJ646wOu%;BI8^M!C>k# zb8|Tf=|qDMCq0R}y1KA&aU1tnhtNb<&w6@$ec!$%D6?tLbdr!jE9+=$dzf{@)z$Tr zm?y>0pFb(@dyB%ovp+v|?;jjwx_R%)YP)S>M8wNNWNTwj4>7tgf{~Gtjf3NZ zZfjRpUgzrIYOz4x+KZoqEXpP(jQIHYsSCrClL;qw=2Pm?w|B)o0wFg!IhQAN^z@_@ z6!7Nf=Z!<<&$bT^w5$>*Cnp8ncUZj7_O;6^Doolw+|0<&Z=G)NW26X)glNi*|NNN% zK`H9SQ>Ms3EVtf0F+sc7o!I*Ej>YuM4BDMLckrq1Vvm*C$zGhF@jm}8m$|QJcd<1i zb#!tv=SOr;+`)l2EWvNK<1`Qy)82A9IXTmFbAI*p;$}~tB-hr`Y3CaT7efk`Vz$G52H_V0xS)3ZPOVU3LOD8#Q5pcU|wWP{m-8`6ciN0Wp;_lTpu4F>;Ossz(7+dGd6>IMP@ksw&TGPewSzJeK7g*Ua+N!)k|WA9VQ_KKF(V}fvGW_p6p1W!Tzs@PQKfCZ4{vUavuB5x5qGFzdrx9Zb*R$OU9--7biecT1F-*EiF*QO=f*07h)sC zvp!QsON+wE$*Ek+OjcGFwb?trfAZYD`#nQ7B_cXHu>1Z64a7VTKYz=+>k6so-CNb1 zv(R?bhLZ^puA7rKW#$G4Mah+wRFK*QB_#o{$Y?HuHGpxBp}uI$I-=AREYQX_IRERa^TYnlhb?cMfM}NKd%VUy>VlF zGy2BJ=ggUcl(exXFFPBF?)#Ef%;N)ZTDe%2^NE_AtVqyi-QrXe*4z;ioo9EnH0iA~rai2j|{uY+( z{?1ju?FHeRFr@**M0$+=eU^ zD+hE9L#l7*PJ~c!nj&Oy{$A_30W(Ed?x3_n>{md)1-Tp`|5A(4>O`)>&NI4ckuRnJwICU{a zL_|bA_OPp5)+KdxVv}!b$Lab@wf`Q1=E%o)#n#pq@x{s0#J170(uhQ%^8D&vj09Msg*8(8WjoSdA)BO?t{Q}nW7G-zM+vz4~#3 zM&8R?0*rM}30}@p*qT3n{MZC=1qBN9KBv9_F>8}G)UDz4cHg*=_)ww*otB7cXlM{@ zwk6R+Oc&Mbzw>MV+)7SPjz~-lpQv(8`SJw;#k;yyQ$qvO&d%BQ`!>FaGSOi)>nIDh~i!rt_rxB5h_I z`9S@U!}9cW{a~(M>y1aBe&7=jd<2w6rRLZ~T2hk4O6{vP2Qlx{SWctbPXu(Lu~o}M z&l6MkoeRYojF}>XkB^TXrau0pMCz56blrZ}HU816*u~1Z@Xm$Mj z`P%E^?C@dt`|3HX5yQ#FFH6IfyW_W{a_!`5@quJbpn)T?i0CvP6Z9wN(k(egD6iYe zx!h=>tUcXPSXy009;}UIaRo)#W=qXP#Kg2tm`9zFQBn@eU%!`l&+88=;fHHHU4v|; zNt2g_`-^Ol$drB~ZRhK?b+{Urta`PG_Jpd->0BR6U@y~<6Z#Vy{>Q;_SuHI~fx#+u zg8Ch#hQVVj)k0Qfr>(`rvzetMm4UAjTr8W3x2+u)c-*#(0elv}Qb_kJTUyfh4=g9w zCe%9Wyw}myEj>BmGF~}wjg-EwZ@?UpXyiMPeevdS>QKX3NP3@iDFLJ5E%l`z-T4Rv z3yZ#Hm4$Y&m5LxSjaZzoVNHU;Bl0Vnv!i_Hn{5nn0gVz(d;)h^ZlujE|FW36|0O%y zFGcnaxwXt)v;e z2kR@E(*2hL{4PJUdN=KJaYC!4M4CBYSve~AFj)alNp|K-1DF0086TfbU06=0{3~Ru zw=6Ox)`C6xCY)?|rfIpS*Yc#f9MRL$NG z-o5LqD!=vDQ~jChW#x6XznLin=K3@BGBVx!0yIgSC1<`Q5z;@xs`ruaP0n0?EKb}h zJ@dtv?tWftbBJryk;U(8V#Hq?GPWOL@bSM`LL}nH5$OAp|3BM zy`6c5(f5xdUqnIzVNULe0w=X#4>n?ygEcOMi~V1w@qf(a|4V*y(l8LWkdv2}kdW}r zYF`@kzNkS*5YyA=&pxcI!y&s-4@2I7xl`;*-WCl5X<0}}MqXZ3c;uO`u1C)x{{waP z%q)fF1AtN<*A0Emm|j&JvDpqZ1XM9Ue}7EP7>T=|#2HkaaXtrb2oX!VsS5t%5MkTY z+e>o)bjvTRy@&Fz$fu$vghALJ?Ep4Gm(`A${0hfSm z4Qq~K*Zx4K{iN3H*_+VN?-7hr<<4eC?eS8Ga?eBCs@ z`9G@>=+AQD2Mcv6t=S#hY$>b(eh&<_ zwkljV=@9jejpz`C@I5*@3bW$_Lqoc<1UZ)3b3G#?dQ@RTfOteB>PEa-b4d5;^Jfxr za(^IG3AhVwEFTO0a8m#OO3Chs%j2|G`UBQT8_5oX6EMufI3o2ODS&N zylL<18l!9East^DN-IJU7#K*5jR{kZgo#N~zp#soi;ZEKVS0^&`JzJU4fo%jCLw=c z^xF1Q(zgVtd0(omv@|d}ngXD$f%5&Ix%Ktj{(ChwH4Zz!Kdw0*gZv=qb1vHTNeF|8h$!~sN0Xi}62rA#B7Y7y z!y}nxALdSZoB%{L0#ebx*g^wr=p7#qU0Qm&K_?RuZS;nsqM|~LHemfNyNFTu*t4EV znp=InbL*kqb?Lps_B;Xtt&n)-^mL$j9UUDp@bD1Bq=%9q2C}thR#!t>S{?+Ph&V3b zqm;O{HS4>4d=gBNUjSV?J39-$eM7AP&?po{IEW%+K=rM?J^zXd_o|amcP&Y?va<_) zF1$B58bG%IoUm~mWXPVcdHeQlZ?-mfYFZkTuyAFk2k>QMbI4Uyb#=e)dnfn-0Rb>< zY6_kw?_S>wOsy8uNKI)S>+P;%?Hjgt19sT{rF>rkz~f}>4HO}h@4+Ofca>vlY>Q$i zp`^qX6B7$Ki5GUh1ptVrtgIXx8_OUpOtrne4MQR3R?gcYm^qOxp}z0mlW}lx6xdDO zt2pWZ^{XjW{(VoCt6eCa7!?9Fv#qRH1~|b|8bOuJ?XZrk^fHb|Md4-N!qdmpJ8Qza_L&4&etx5NIyv0* znc3b*V-Le}l6ptn_v^31ydP`#im7{ZwB#8r)uye-=ytWW(?Ukrdy-O8B-gHGt`wz0@qWo0$f}&cz|T)1;=1vDvc^->fMVHSzf^H z6m;AA(tm&of>wH;(8fl|j(7ngLqkJ0c6JOz_5PsVkG3`d;HxOwCSiV15Ay9{kpv_R z%pky~&A)%XubAJl`q9xLt)oNfeKdmw+5(CK)%L}@Pu|BUMui(YMkv)VO_Fd_`GY9P!M`%IYvycZeaMv+CPunkLSkKa2Zg2$Zen zt40j$>?jEj8yov2G%7Cr^7`DAmD2fWPeRhym_kBAD2X2?djYQe%kDNK{rtIxY&89# zuS$asW^HYqx`9`mo;?;_Qe13oVSxqm5RK4t>1C?XXYFaFmiv-3JX>FaO#>Zy$*IP3h=L}5oI;#Ws zBE&D+N=c!il2A|t!p3J+exQ?wR?Njk=(yOW>3owmO5EZ+EArh+v@=@H~i-lmFQ=nCnPF%wsq(Pdt#q%7UY!tLs-> zOoNRnZaS-}86(w?8GzAHh^zyt718q2$fr}vVH>F#Bi)Y(z>t9da#!GfRVApqjfKcP z^6N?VJ#L4a+S3c2Ok6bIXP>aJ^nAU9dQdhjRZ6dFKOC*;vj|Z{yk1&ST(HL%`yTt( zuj?c@qUAV$4GgqIGGAM_mbm*DR&U}b0X9no^=YV(sIrn1Qmy@n#9vym+6}t`G{4X( zImw%R4S<;(i62CC5tw!ZXR|ynk3Wp=E8zD7VB$Q(8rHJjEI7&0(Zz-KC+S@k!KWE1 zvSW3rPhr>!DJ~x8$_mb)#>FCF0is4RJSmP;zM=5?IU1&uWm1EOqV^5d$+^~jo!W6F ztC1Q{bGb+7WD*kZzeZD2A1=4`1yd#EDWW3;UDl|gIZx<_=!(y-76m^@&Qp}czW>j5 z(|>WF{#X1;t9iBO+UerAPex(6(VuGRfjlTa4AS1VDn*|*gLjM_%6=JxW zL2lCg2Ot}TyLZjFzu4=QMO7XR4RR0!ctC=Gu|J>(Wln5X^mj(PvUfXUucuTG5z zA80>lqE!o@c}&oudIo?alWbJy4OHR#?b{s$!_AxE6XIm#=(UJ?fvFdMpl~rmeFv%i zXfFIdF{Cj7v4oypRp)_;i3zL?Urk*d95-VtD_m}FZVvtO2v6K1^LT0jTLw@rAy;)u ztgaY(?Q8zK+4S(?LsW;O5wu4jh^eXB_jM;}(8a+-fzIN-=mR4=t+1g?Yl`LFosJnW z9_mp`a9P)7VP&1m&aXvBSdSE40(}?-FSB!VCg$b=TU+)#E#)@gp9Nf3h(@hGzwTW4 z-tliTo)#4yonZKl3a;ln7%!-b2BJ#X*hUl4eQ9tkK>_fKjivk$6*co-`Ceq!DroJE zRhzXTbFJaX&Nx1{Tel>^m_#s$iP3`ct6!d)o{k!OfE=sGs=#S!kLE;i-^e$M?Os{> z8JJZ8w5t0(=|o)cVJwrAldA{Avk+Dw>V2w{>0rKq;ym)sr0Qe4%yecHodW3LW8E`1 zH!pWuCY|)$6az^nMLF@FPO0^^H*en9qnxrDA;$${;FBJJi>ZrqS2!8vl`B_z1_uMf z!U+HDE&CbPc$h%6qF#jfQeI9ulyB6!GLYR{=i?JB&6J~GK?=fQMn=Z;!8-7mwxRna zU0q!mlNw=zVe}3A^T%Vn&W9e4f}`H9?(FjPV?jY7A$eM<)pb4a8ykC)q!YluVIWn}fpwfHly5|-pMyHe< z8FS?YFeRGk$;^9Au%JN?M2Jt-dR5GOcz7UQ0v+n;=rD+i(x4PVP0cG{NAh|eSPzel zr4$#F!)Ei`xieQYX-rXle~ZMm}%BHW~*( zJzG0J8b#iCSGiD#a_Q0~H*gUU_US#G9i5$H)m-fC>Vkh8Zs917@|mUsC$NnTET%H`}CyjRIS)s%wbkKV6LreXxGKPR3L~`q9-AY&d%b+x!Btl zL#@5lAtJ!@2ssu+!Wq3SU{!Evs5Br7*lOF0i9SrQuVCWi9v*^SZ_=G020{HwhvNZ= z>!1O?Sy*@i0f+2}xwf2J1!MOSW=N1 zF)%!g-9ica97sta0DufAS>K~IjJ63}QdO8n%F6{IuTZuYZmW?~E%-Mippc(H!v8fp zEGOEo*!ERw8z#+yl@;<(fQZGR%Kb`0H0n4xethJRDQ>dFiy1D|v z&_&dbj9h#D`ZaD-Lq`Wbsu-iTJuZ$4_2ytRHmr}8eI49AIB0>gTV8djS85$8>>ML7 z8F@UL@|4i%VB6(j+sPGu5W}|l&+&0mP7Xf3_fZn`4lS^5Lg8~4z`1h)EmiS(f(f8q z9Dd;TlAH(EZnzQli(Rze zTUxU2(#Um7%zSAv6QR(n%Y(@B!y+nh-+i)iQvnS9JSh@4m)!dDFq(dAxlc~hN}DAx^or!PSwrV9?71B6B>}VCYF}3H|s9wTsOuW zex)nB4^=_sLOG{!6GN%^aG^B-zW&ufptzpyv~!ocZ8MeC{+F}as~~rTDKDX;C8wnD z8rLIEPo^$frp^xpa&!vOW4H|7jkdys#A7|o17hu5zRwvu6%`dsiTKRS%&1!ri2|38 z{-xYgV`M|^UYnCT>Aqylm5E_cyNO9j(GmJYEon;e1vX>+g2KY+5gVp!1KC%>D?`m@ zndY1ZZ{JkP!Z07T!ZpvFAO9|cRoHQf5mihDCfzU~;lZaH#9L2sK71N7IFa(E#kX`K zFZCo@S?%r5Rbvir?$$s8>WIilUkD%Q&NC26(qLvi2%|Zc+)U5#)cCleHe##Y=hbU2 zBftj>gwc2!Jb93fxL8PWI5;^AZ6|~SXybR-R_HYEb`7mRtYlqjV@V}b)xN=)+L~g| z;J=mp|2?emD$5yy(*buu+xeRR9;MhU&d(1YV1_2osKl2 - - + + + diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1Smooth__inherit__graph.md5 b/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1Smooth__inherit__graph.md5 index 0d1c7224..1df9a743 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1Smooth__inherit__graph.md5 +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1Smooth__inherit__graph.md5 @@ -1 +1 @@ -4683678612b48fc82234071feac4a502 \ No newline at end of file +d9afa840a829ad0f0a6caa1f94d37b1a \ No newline at end of file diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1Smooth__inherit__graph.png b/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1Smooth__inherit__graph.png index 833b9f3e56db4fb4de06ab7ce3797a520047e086..69ab9d9fe47c16babcfeb0b85079e321a97e59ce 100644 GIT binary patch literal 12018 zcmaia1yq#X`|St_s33?Ef>Hv~p&%gL($XLj(hU-V)F5GifDA}?N_R+ugfx=U-CYtA z_u>1+{jYo1U3Z-25W~FhIp>MJ_p?7eSCGQJPI?`IK;TM06IVtc&~o5wCu}tMALAxX zCcI!8$V!PLE-wEi)?|bt5R?dMaS>IQ*o}#|!YUd=i0!|kh>^zh5L$eqhBP(&NVMzp zIG?@iIT@*Ey>U|1b2RHcdev93Ur4OHS1U=T4j9wSRabH>@m9mP9&D$h5qZO&!zev@ z*c!LRHF5=gag|z=iS}in<6Nh%e$%H7F*kbR|KM0i1OOy>wAW0m%s3O zbscs2t$t*(tYBMP+eopgBGL~{7}?g@xxR&uKqOL}uE-&RTlwDZ8eRTkYHsg%J01&x zqrIOeznzJVLvi=+-FNTao!!5RK;|2vfH=kW@Z}n z*;|6{yB+TukH<$wn%UUoB_++Qu0|&$1d~}>SP(I5)*C&N3MQ{HYD2w$k7@BRhTAq? z(4#UuTwPeW{&%6_Yd1ML91;Aqv^4A_KIcs{OUoO6jS6S|eSPj89@o4Rf0->VE*2IR zs!kYbYmdptJo#Q(`G^FEkFP2Ld9LMI70WAglbD#8+oY4ET6*`jv2j{{KATTNB>Stz zOqGmp&0&>ec}&cfMB7fVPA_LsnP-ZMTLaWzYiiDBetgKxxOcO4Y^TtY%V zo?nZGAcV%;(9qDr!gZ-TZfI!e_is(QPzIua1VN9ioE-PHq1-=z{=~+{E-#x^hnn}N zA0Hj5s;b(3f9dS(OhG|0ZUcX;ufM(5BLqu*^|?QbR*SzkVG&Kl>|<`WzT| zaCo>in&AJO{?6jkQt;i!i$^JVEeBp~wNbkT2RW$N8Fe7OZVT0BpmlJnRlt{L`vOt|-;BkI5G z=Sf41iD9d$s!nH6hkR_%=XXE)LL*H^7Bf-hJoo0bExu|kg2OhJJN8)I~I6k^$7shd{X{$zjU)2B}rVj1VCKO1Aj zBqYzA#wuPvC^bJl+Tls~GRle!Dte!ChnV<*Z&r5pPJd1gb1cTsk=y~A#5HEhYc9@T zFd$osoonc(Avv(AVAs4UvAv%wE5ouGnV5cPN6FE7CZ?yq$G5Px<>uxVdOh1TT55U! z-aSzKlR(Mr?Cj7^=F`*D`RehWo~^z#*}Bu+fDa!& z#KdT8YsbLOJg1+x|6YN9zHDV+;GIB#AyPBc-@gY7(8znav%C9)1r+0pT%c=De=ZwfW7UcH)GTqGhV*VWQ$o7+*(*WK9Iur@RMeXzjF$_jf0IowQf zCLkc-yfI4qmQFIQ$^a27pDk=_r zsnU>`EiEk!3=GP8d0APjv$Ky3nm&HI{gB$Xy1F_#I@*Z#iiwE{)ES)X*A3W7LPA0y z+QY{ytwxHvVz|lf-n}p6dD`fABSkV0)jyfS`{rwW{A6FBfw}q0+FF&%jzN~rkPYpB zcU(>QbJEB?<7suO>LAQC{zCr&Ad&-&ghAg@D~*QO;e8 zpM@otK_z{>;7~PF!sFpXCL88LP4|P< z!7pFF9336yX?wW4b8>O*?d^SkX=7w$^zvowEcHri4-pk3qXmQ$FE8))Q6cCfYBk{) zKeLi$U$K+y?Cf-PbsY&=YL)shNJ~o}1qo{^Dcy=wXl;IDZEgMF!2{@6TwGiaVZkxr@`1t6gsArm8y7 z8TEL_kc^D%@#A8*!%Z%3ZZ@4tRax1!go{&C4-b!5uae%q6Ooj}+#HJAZAu+4YSfXX z3Pt7(FKumY&Cc#F|4M;SKKpxkvHb%NrLwua{Ijj?*U(URXJ^>UYz2vT#$PqU)yyig zvKXnTUhU4exw^V`M6g|KAuj^Z*JPN9w6(N6j%Gf<*+43zVvM>JEPU-y&T ziq53TMi8;QNKH#yn4K*`UYxhINM;JqiV%t*>g|RsrM;L38iXnFb98H7$jWACWyvUP z=(mYkxwsrben_L-k9X6ca6yl?s|pP4iWhL(o`cTiO$lgWyMKCm8kg+J7Xb!E=8PP> zVdbBwTeFI35)u+R8O%{8SFy05^f>C=&HCr8?62dpX%%5m-60_88y`PyIat~|o|&03 zZ27FDuKwoDoA8%nnZ==`NjYk$+i*f6L8GHDUVbo#u(o|kaS675Xz9JYU0^#U=uP?g z^XJX+?+$;~M}DP9b>!cd)B0||&=&e|ZEfxGbK{&Qz#LL~1gE9vaiFH8qy&L&XJ-fa=3s4jp)*gaIbuOWOnsT!k(S^S zt6pujQ5(UH8v*a%zlWL$AVRC-GBXbr{NAy!uzdgiot&H;o9Y;{<~E(2oulLF`QNQj z6bi~+*w?RBLS}~@w;zlc`z^qFen|0X-8bWm_Vbf?{=7HpvFVrbDkCp~K11ah@3)Dp_q6`*Y<(ORW5t-|Zo9%WbE^FS4th z@1nJ_GBGD)W@Z9JG&5TceW-|m*6en_WN*rl3*5JFlWO!0mUmx8J*e-?-}=q-fP;09>I8i;W$h zob+5B$b>|Oe3OYUgdL=ms+(Z`7E|iOd+%nTq=U0_M1op%2mZ4+S~J{F->m;``gGg0 zGxF7|S0ND*OPiZPV>{fGGBPsIP~_+yb8!*2v05`{SKD*15%-&MDk}CokP6DttE=s& zGc=qdWKwTxZPkA90-6Xwtm*BUA4QC89iN_eGqznT>LGe{xH&Ne1t^R`rE-TD9qPr0 zce*l1untK{NdQv^r^kDQoETwvn?XsHGU(fvy}`pom>8d0dUq|qPF+PM20$IM6%8@F zM;0Z=LP&V^JbPyE7`9h^{Jf$5m4U(R`ug~k(y5|?g2J$Dal;o*C>klZr)%0Mf(o1AAWKY?u}+6a)nK(j#;R#I&;NX z`cv50qd&=G<+fOun2e6t?82RKeB4m2>QaspAiQJw-xk%SAUvp`yY6<|3&^5%c6OfZ zHkoH6%rjtLuH;pbOm1#Ix!^qU9lIOX+qWiJva<*%eId6z4`iO9Qsd(nKi={P32q#| zEv73hER6inJ5plaFL<`!e;$NJPvkU1YAlSrkMK(VB%WHdyS!C*aom8uS>x6dFOYpZ zK-$=tHsoXKrqJ20F_x#kMb28K`K%H0^)e#spXNB{s-qR-^z{kn#@ zIer-yABUG7X`8wjdD4|qA zu^|Ot88cfxGu6y)sik6Am>G45W>JQwTs&{F#W;`8?(WI%t}APKZFTkeN`DrU2Knpn zxJSx@*49ppEQ#a=nw2s#cI~(bcKkDjYwR2xQGCue|FB2HLQT}xTQ|32!`ASLszdmE znKy5iRK2=}hKJM>IHf)MQiTS;yPUny)MBVNztW9oGs(Vz&RtMqq~>0)0s+@a4+54(L`9+Vwb33 z-K~d2I*MfMQJ;fu77kD$5W=^nnQ0MyynNc{OG4R?AF0pwoJmSPHSg6Rz&9#=3`~2YpmQMo- zuq{~cYc~UfWT?kbsI#*zJv{|&axycu3iPjpw%rqO-AB>Nl9G~si?f=nehXX(`ref* zR}5Q&nm0H&I50%Q!o#V3p%C_%VLwj;NYH&1kXydU)1BC%e_=^wf1%y z-(INbCSB2fY_lQjNT5`3y~?U8Hy0O-t5@#}xQ3lPn6=5)$d8As78!S3VzJ{5`$c-* zm%!%i?ARx1jx|@qZi(`f=dYdYbDC%s9$?d4LHwMXHE=pVjV>u6bXfd-*nU$@bvZm- z4lj5|HUd!j?&17=Z%$6BV#4OpM)_|F=4@!pa&YJGW`$Kzx_l`IOCM^)X-`CiR>O*8|4Qpy;TmmCems&$APVpr7XdL~CkZWDbL@4h6q@utE53 z?L!d)M19Qn?}0j1L)uAV%PZ!;N23+ubEf)Aq zVks`(ghk<=n3q>;zt9d{cBv|%FZ|o$WZ#|F%B?^M>29@fI7p`+Hf%$dkqd$NC zY-*z6;Mi%UKsHg7;frRg=SDv=_D7*md3kwpaXRYi&{z8*Zl75Fwp(Z?^nI?b9&Y3$ zlO;5moSMq{c6UA)*d=V8>YP6zQ@Ub8w?6w&zMid>mHT4nU9FAXC3@cR_qb&K0RgZ1 z4j_Dub1!p|VhmqhTiXrrXQ|~dlmMU<`I?2WqqCr6xU9kFLHK24W&IO9uRb#ii2p}ZW&=e)YMwxhsvuiI^_Mk?i3Nl8gg zZtmXhE^x#4jt*jGO)nvVrGnt0lOiKc}XqhKAI2bOh+> z%?7?HmD^1GOECDsqFFEv0z*ZdE3;F3(NIPPM@Mk(-|2_m2ppTEgc=anj10B3MgSh& z5|vxLu(3=1x8_3e*rXH4^H83SwuT0`d0*pQc-M9F3WOdcl{34!7Nnw>wk51+5 z);xOhBf{l$AkMsgK)v1gahE<%3UkH${I=P71QI1vltd zA5OXf)&rDg?dJA3MJjkGM@#GgiW#KdzA?3;Ky z=M?uyaMgLRKXS_8EX_L~9YNxbgNq9_`XgHtAZ)mCyldAOn3=6CEvwuPSwH+}pkPj| zgnUnzkAWoPd-_zITFK3=N|U*)puo<-;RYUFeooH(jtevv5G%q@w?$sRer;}H@ziyn zUhraTW#zl&Fl*Zu8qG|crKKeli}}SxIvSd1Hu5qum9OU{9US(E_1qhl_IU3F<^0*~ zQCjtTr<}oT>ETN1pg3HY0T%=ySyNi>oSKoL@#2L)Ta)3VD9{rE0|G#ghgdr~JDf5! zFaV%nRP$%D#tnL8&bM#)*Zm9%kAU786#nk*wFBh|4lp-AKR+|`c(;S?{{8!D=_8Xs^BNx?4+{%}8V$HlLqnqu#C?$9 z!Vb*QsW`1iOa2~ixxp_~RW-G>O^uAqEG(#f`}+HZj^{(AL+Nf|a6lhXz!LHYwId*) z!v_m*d&P#0Ex*R?uwCX7>%Z9?zkBD-!0+E?rl#C(f7U@kwOE4|^u%`Z6ow4&=PxVl z-kqF2EUl4pSYHftV_J0nBu`WrS?!RqzrRvV;Rz6Y(sV^R!g>5vK6F=TBf~5GfV6V! zju&G9K%}Rp=4hAa6&C&)ALr-c(Nq|51`%y`b{2MacyO>#GY81sY`%V(&BV#Uu-?TS z#RVnyEF1Dz*2Se_AOiY>Vk}P~bmoX+XFEHdx4Wr1H1+lM`k)O#^R>0H0g3XBgF|Sw z%n#6L;hurm15F2bm)PAYYrXaBUKQ`cr2nywK??r!k~?1SK$UvH&ThwZnjPlUG5OA& zX-fAq?o_1Os)rWPoH&6PDGozodcJ2!m{8M^DSV7G8tCs$Ltn zZ(y~#xe2EUEh6Q`<-sBLg~;<~#=rk<4O$3`7@qs9LglMlN7SBgd9|L;n+D!+BCqy! z`t%qpLvcyKrCvoj`I;ZKFMc-yv5bDHlb?vdBX|_cTlcd(ed^#~rpM8%*@-IS3h}Gb zC?53X)t$K|q0_|Q#<#F1?GoCl=3ub`78KZbNMQ&B+BNr=x<-lum+JS))HN-VgD4aT z?pm#$GA4@?bFB{Zhi|2#qj4TQ@C#z+#GPllR(b7mc(trTN9Q`%I(*HqRPX6xxt2Z*Nc(`F+)qWe91h`?otf!zIN=P31gITU zi?jQ`DAA=sjK)*ms?dN=t*lHyNC;9pbYb8QtS>8sYf^2qcKTNKq4arfH(;sWSJM)E zmP^V{pLO;^n@n7y>vSO^a&Kwa*H>%cq*#6~&Z&?jDZ{AEwO2Q-O7bX}CPurxx zv4G9{{P80Xz+~k49t9{xP^Fa19TNS~zQH3aD~N={+tr_mzYPvBTgL*S9Ds&LeVN6s zUJd%bFd~YIQqo&;_RHR}87WFDDpF=9dPqYv?fpSB!=jp*=!V8zZg%zq+N0xR>CI5d z6fI3n;8=0I4wC2io}Qi&tU4zP5qkXm{80Y^8deq~*?&V!Awlc~FfpL^z*d~_QHx@x zXiL%PuY>>wJX|qrK?IJ4yu3gj#%NWlE(r+nGfPX(An=3e`%bt3)L&3NrKF^^_>{!C zbWt>*x%Kt+Sy@@l<4~1a6eMS#c?(h=G}c3A!{}&XX$i)0GFSP1K8kBvMmazv(CIdx$Wnl zA(0o*U->;wRA~sHPk`F|GmDM+YiGRk5(05E=F$t0bGZS0gese73lGB#) z^)*A7y?M8}o|Nsn;PUID2M_<8W$ZpH9mV0hZGL4KVZcbgu-QuYBWXZ`{cQ44#BU07ip1C>D zFgZBrIwQLDE9GvA)Z?5SNvLr2)Z_?+3o-iUm=t1C;qBYA$r=rX`04?{l}F8P5aH}ZTD=JTlra%8k= z@xjD+&Q8PRxO-SQ(RdT+SIa;WF*(TdsW>>8SXd$`&Eouv_FRxMXaLD@aakZ<26)|1 zy?Sh$-uh%QPSgvNQOsrf)I^Ou!xYQSHw90G$5oV9QeswCdv9+6w0Wo;H5J+qA7%i- zfQRn5sci`VX@EG5D6$=~?3f1HL205_Kz`?vJy}*3#*u!0UY>zPmaRdusWI2+55wwD zpW-t!Yd?L;D=Tvql7|bN;L==~R>a(WM-hrVYBl4WZ3&#>;#8HF+t10xJwF+~c4X=T z4f5n9+JoXT48P>iX|I9quUTrL_Uzd+B-SG%CkHnx* zG>UVMr01M(i&oyD%l>^-ts52+@@t9;(LB3%%uJLG0&FPEII_qwNCYuu2oPTGEG+q( zQ~4Rc2H^TJ(Yk$Rz9^Kk)Q9I5riGEr3?aH3hR?mUEpf15GQY8fe?Gr6*P7sw{)J-5 z`<<2Wz|BY@q^GX#Bn+vqdE43Bi(;3Sl!%Lq1GERE3gvls*M7WzXy^$YUCWOjJ`MVx z@ALfu&A&o`g9DJ+OEIw@gM(Z`LKNIX0|U&O1zv4NK`>lvL($^m;tnVP9)vt}gt;Vi zuR_Dt*+0<6y(wj6Wp9Z(Z;r#vs)bgX=5Iz?+VRN=%)wKB0nLMHf2KC&@6l14(UP{o z!LJSazeh%t7SxPN|M5F0Z!HAjgWF>N;J}!j1O_2IPOEoHBbA-UocxTt8vku`*>m1d zi;m9H)osDWHAP-{w4VJJ{2a*A>BRw8;Fpg8jtA1dLBF zr(}We-Zg-5!+hsD87Zk5=L>MsNTWc`2b}`2`a@~pwL?==b(Tm*(WK{*2?;_bosm#m zRVEyroQjK!ucC>(e0k5O;ag^ANI$D-5bDRq@4_E_eFS(^$G-;$ow{Rr2L}h6o139y zVJATV@m6h=G!~i6EHArE*T2gP#zM>7N*m7iJKTz(c%cZ6 zCWh{u2rPus7e;{Z6V6Z8^0AXZyP1od?x~IR@e#APFA}Eg9U6jl#`8I|N~3^-D$2<< z-G6!zQ33!1%4XIWO#3tCVX3Xhz5{QL9m2Tor2(p^Qq|E3OaMt?hDNyCCXMcjjw#17 z%1Z&myKHS3c`4C12jKC$sgH5LyMm~vCuWd%N zSfE2!N~!FYa>ItCw^b^+UROX^)GO^IIA? zchl~h(fZL@0b z=~3+NI6FOM)v4U?V5@Th%Jcm@@WZIcNNhh*)`$SU>ELb{*B>#6;15`WGb3N8>J6w| zY;0`k=;#j~qyUiv5k!_KE&T-8A=cHa*8dZ2tYNad|g@Bw%B}G(bf~1=@^ZjwH*VYjtgyYk4I(mmaJlONn0aiWqU5nT|Ch?2FaMj$YnArxbi*3K zu4M1vaGQXDrkswJcB0~S%J=Wb0c^F?d&l=~N~yaYF3}$}3d_oN02a@CQJMujucX8g zbioRr*a?}uf>SM^FC=tOJpcc`k|-xFNZ0g~l(~%!z+Exmc?bzf%FO(PFQce9JTMT; zX^yI?0h#QzjEw(41dPHfD=I#da2U)seZr=K#tyCtEorZ)sFChCJ|Ayy5*$e*qxtob zV%l<6?J_IifS~WR22<48%`|>fN|`S?Gz-#6%g87%DbalK0<=F?-Rek-h|>T1VSZqU zFjo9zW4*{)R>DO4pRSVqf$g_!R}jKeB=n}2Gh;+=>wo-!71nn74D|HNN|)Y|-nwbI zdP;puOSkpkg)nLZSp58w+#nF_a=7g@`iq@WM?o%-5Fm!%AZD$0-Xbq8h1mTu!yY9E z+y`nO`1F+XU%)gVN9WgyBX}ro-+n+8@YjY8NylU_LH0ZVJ}j{Zr=12tb?4SC5mc%$ zWrfR5G9cyR;yoA>ZPS4jPF}w2^wga-0*p0xiHV2fbZS5h0k91N5?)@d*RKMaXF(5n z@9PV*Rp*J({-1722`r-EooN5c1f}#&2@!mr;Vj{5#F3Y_3c!jmw=XDQ2j(Ki60zyNR8@66J8@!-;IkR$x%t7T=Nshg)^`XcP7_5X>I1#JmT}|Jr4hdS^fe*h!E_uoc|hvg-57H|RV3 zzpTIAF_2*Mz6beTQTuDLD`u)f(BB2(x!&%HcsIuMgWjJZPg!i zt#fcXvu`s0b2)B7K~I<%U%h(O>dD`fV8KRn|D0#@;*+IbMLF1o@kDI@Z|emw@&QDc zKf5@}3%U;&kU&Ljlf?A7MNV#GVj}6mz={hI~IFRS=VCg`ft?3m71x*B3XGjEAsU&KN1W>L376YFdGZ7OIw#LTf#Kh^L zTy1db4FCG|c5VtR6~bGjz0&n$Y&bAMa)C)AXne|`KHR>2%^T?C_TF9<6iq|J6k*EW zbx0)4`k_>jwNgtLfuoXzrK_a{vyHWksnqJV^D5e<1_;ipm#l~N@6h?l@e)SD2OzCp z3{>!4MghJkbT6<2Whlf!HjP#~WzXNewBUKjH|TL!_a9dL%V)ZN5_xh{TTN}Svy+*J z=Ln>Qfo$+`Y%MILWoLKjv#)P#1mENBTTu%GYr|Iy8f@=2BTNhom?q7gSH0OF1>=>! zzkg_Ge>9gRcsIZ;bg-)C?tU7{VFcv^6!&%*?>K3i#m<%OVq# zJ$O@Le`i~d0=$xwskLs+o|8SXihSyn1+53HjL3_>ddDI+ze#*S&jYC9HF*_CSYpzP zYLZD=D1B9!`@@i`2*mT)b44^5)qP}zA@&I$EBr|ReBv)kd{yo&lA=6{$IamyOsa| literal 9545 zcmds-Wmr{hoA)=NbR!~N3QDUqC@CNy9n!Et1W9QS5J?3Il@Jspq+7Z}KxvTfknRSl zIrn|f%=0{R%=>DW@jL(j{aWRbECDVRE&_odke8EILm<$w;O9l` z%Wx!%eIE(`TsBpZl}22k{(PxPe~&;gAmpVbG~7O|Pq=H4TTpRrr9YO&q;jwnj~EbB z4d!`O_1uIhlt)5FMv>)v2Ja|EQuOkA%!WN6AjWV|HY0nC z`B>T|(zf;_D5la$-Kp%AlT=-uqbRF^k>GvVOi*hH5IIkK^_iJO|5#*j;6tL8Q~HoEvsjeQa- zo>m~0lC4`ZSA#@Z|Uum;ZAh8 zSbdpn_#R=8aIh>aEM6Q=xPC5VPkvzd+fhkLsd=_J#ORSkszUEa3`T$LpeB>^(_=Yh z<<>E~Is#vD1e^#VZeznKDJf}eWAnDw>%?@S<72tc#l5o6DJjg2O-(Zk3zw5rf@hk7 z=Ju9x6Zlb0jqQ#b`rY1&W?1=byJcOKrf?r`F?{`z)&4VC9+QyELci^cnU%y_` z)6gRs~nUZ$13-=X+KuHgeOo;llFg^Kbg*+B#yal_Db}DQ}x$mxZmZ&d!>4 zd=es)Od?Ks@U{`I^y@tl_sx;X#jK}vOGU|8Cbws2XDPc)D?WYtG+Z|2&0f+mG!*0R z;ZZa`uCJx3**uu@xXI9So$p4Z93?VTNKlZ6ot-^8I=W?LWkp9?8k6j`bWTOZ$B7!x znB|p~qV^c>Z-IfAqu;%Q8`xOxrTkeq%H7?)FgckiIx(?3O*yfvy1KgD0SgQ3$&)87 zdHNNNuuRXrC6Zr#eWr(-Qx>7T3o9#afrPYe5DV~@GSbpK^z?}?Wp+v&6yHKa@%hbu z5W7s*qh;DCDk|zce||eVE6Ws?tjI=Q)Yqr>wI%8!_efl+^+@B|`g#SGnUQjW=*P|k zv3Ri;M-k>07Iz>NF29V5in_U<@FFog+1=j3!KBJ{)Ao>0mHWB()SS^nL2`0(9z;$? zMz9{NJ646wOu%;BI8^M!C>k# zb8|Tf=|qDMCq0R}y1KA&aU1tnhtNb<&w6@$ec!$%D6?tLbdr!jE9+=$dzf{@)z$Tr zm?y>0pFb(@dyB%ovp+v|?;jjwx_R%)YP)S>M8wNNWNTwj4>7tgf{~Gtjf3NZ zZfjRpUgzrIYOz4x+KZoqEXpP(jQIHYsSCrClL;qw=2Pm?w|B)o0wFg!IhQAN^z@_@ z6!7Nf=Z!<<&$bT^w5$>*Cnp8ncUZj7_O;6^Doolw+|0<&Z=G)NW26X)glNi*|NNN% zK`H9SQ>Ms3EVtf0F+sc7o!I*Ej>YuM4BDMLckrq1Vvm*C$zGhF@jm}8m$|QJcd<1i zb#!tv=SOr;+`)l2EWvNK<1`Qy)82A9IXTmFbAI*p;$}~tB-hr`Y3CaT7efk`Vz$G52H_V0xS)3ZPOVU3LOD8#Q5pcU|wWP{m-8`6ciN0Wp;_lTpu4F>;Ossz(7+dGd6>IMP@ksw&TGPewSzJeK7g*Ua+N!)k|WA9VQ_KKF(V}fvGW_p6p1W!Tzs@PQKfCZ4{vUavuB5x5qGFzdrx9Zb*R$OU9--7biecT1F-*EiF*QO=f*07h)sC zvp!QsON+wE$*Ek+OjcGFwb?trfAZYD`#nQ7B_cXHu>1Z64a7VTKYz=+>k6so-CNb1 zv(R?bhLZ^puA7rKW#$G4Mah+wRFK*QB_#o{$Y?HuHGpxBp}uI$I-=AREYQX_IRERa^TYnlhb?cMfM}NKd%VUy>VlF zGy2BJ=ggUcl(exXFFPBF?)#Ef%;N)ZTDe%2^NE_AtVqyi-QrXe*4z;ioo9EnH0iA~rai2j|{uY+( z{?1ju?FHeRFr@**M0$+=eU^ zD+hE9L#l7*PJ~c!nj&Oy{$A_30W(Ed?x3_n>{md)1-Tp`|5A(4>O`)>&NI4ckuRnJwICU{a zL_|bA_OPp5)+KdxVv}!b$Lab@wf`Q1=E%o)#n#pq@x{s0#J170(uhQ%^8D&vj09Msg*8(8WjoSdA)BO?t{Q}nW7G-zM+vz4~#3 zM&8R?0*rM}30}@p*qT3n{MZC=1qBN9KBv9_F>8}G)UDz4cHg*=_)ww*otB7cXlM{@ zwk6R+Oc&Mbzw>MV+)7SPjz~-lpQv(8`SJw;#k;yyQ$qvO&d%BQ`!>FaGSOi)>nIDh~i!rt_rxB5h_I z`9S@U!}9cW{a~(M>y1aBe&7=jd<2w6rRLZ~T2hk4O6{vP2Qlx{SWctbPXu(Lu~o}M z&l6MkoeRYojF}>XkB^TXrau0pMCz56blrZ}HU816*u~1Z@Xm$Mj z`P%E^?C@dt`|3HX5yQ#FFH6IfyW_W{a_!`5@quJbpn)T?i0CvP6Z9wN(k(egD6iYe zx!h=>tUcXPSXy009;}UIaRo)#W=qXP#Kg2tm`9zFQBn@eU%!`l&+88=;fHHHU4v|; zNt2g_`-^Ol$drB~ZRhK?b+{Urta`PG_Jpd->0BR6U@y~<6Z#Vy{>Q;_SuHI~fx#+u zg8Ch#hQVVj)k0Qfr>(`rvzetMm4UAjTr8W3x2+u)c-*#(0elv}Qb_kJTUyfh4=g9w zCe%9Wyw}myEj>BmGF~}wjg-EwZ@?UpXyiMPeevdS>QKX3NP3@iDFLJ5E%l`z-T4Rv z3yZ#Hm4$Y&m5LxSjaZzoVNHU;Bl0Vnv!i_Hn{5nn0gVz(d;)h^ZlujE|FW36|0O%y zFGcnaxwXt)v;e z2kR@E(*2hL{4PJUdN=KJaYC!4M4CBYSve~AFj)alNp|K-1DF0086TfbU06=0{3~Ru zw=6Ox)`C6xCY)?|rfIpS*Yc#f9MRL$NG z-o5LqD!=vDQ~jChW#x6XznLin=K3@BGBVx!0yIgSC1<`Q5z;@xs`ruaP0n0?EKb}h zJ@dtv?tWftbBJryk;U(8V#Hq?GPWOL@bSM`LL}nH5$OAp|3BM zy`6c5(f5xdUqnIzVNULe0w=X#4>n?ygEcOMi~V1w@qf(a|4V*y(l8LWkdv2}kdW}r zYF`@kzNkS*5YyA=&pxcI!y&s-4@2I7xl`;*-WCl5X<0}}MqXZ3c;uO`u1C)x{{waP z%q)fF1AtN<*A0Emm|j&JvDpqZ1XM9Ue}7EP7>T=|#2HkaaXtrb2oX!VsS5t%5MkTY z+e>o)bjvTRy@&Fz$fu$vghALJ?Ep4Gm(`A${0hfSm z4Qq~K*Zx4K{iN3H*_+VN?-7hr<<4eC?eS8Ga?eBCs@ z`9G@>=+AQD2Mcv6t=S#hY$>b(eh&<_ zwkljV=@9jejpz`C@I5*@3bW$_Lqoc<1UZ)3b3G#?dQ@RTfOteB>PEa-b4d5;^Jfxr za(^IG3AhVwEFTO0a8m#OO3Chs%j2|G`UBQT8_5oX6EMufI3o2ODS&N zylL<18l!9East^DN-IJU7#K*5jR{kZgo#N~zp#soi;ZEKVS0^&`JzJU4fo%jCLw=c z^xF1Q(zgVtd0(omv@|d}ngXD$f%5&Ix%Ktj{(ChwH4Zz!Kdw0*gZv=qb1vHTNeF|8h$!~sN0Xi}62rA#B7Y7y z!y}nxALdSZoB%{L0#ebx*g^wr=p7#qU0Qm&K_?RuZS;nsqM|~LHemfNyNFTu*t4EV znp=InbL*kqb?Lps_B;Xtt&n)-^mL$j9UUDp@bD1Bq=%9q2C}thR#!t>S{?+Ph&V3b zqm;O{HS4>4d=gBNUjSV?J39-$eM7AP&?po{IEW%+K=rM?J^zXd_o|amcP&Y?va<_) zF1$B58bG%IoUm~mWXPVcdHeQlZ?-mfYFZkTuyAFk2k>QMbI4Uyb#=e)dnfn-0Rb>< zY6_kw?_S>wOsy8uNKI)S>+P;%?Hjgt19sT{rF>rkz~f}>4HO}h@4+Ofca>vlY>Q$i zp`^qX6B7$Ki5GUh1ptVrtgIXx8_OUpOtrne4MQR3R?gcYm^qOxp}z0mlW}lx6xdDO zt2pWZ^{XjW{(VoCt6eCa7!?9Fv#qRH1~|b|8bOuJ?XZrk^fHb|Md4-N!qdmpJ8Qza_L&4&etx5NIyv0* znc3b*V-Le}l6ptn_v^31ydP`#im7{ZwB#8r)uye-=ytWW(?Ukrdy-O8B-gHGt`wz0@qWo0$f}&cz|T)1;=1vDvc^->fMVHSzf^H z6m;AA(tm&of>wH;(8fl|j(7ngLqkJ0c6JOz_5PsVkG3`d;HxOwCSiV15Ay9{kpv_R z%pky~&A)%XubAJl`q9xLt)oNfeKdmw+5(CK)%L}@Pu|BUMui(YMkv)VO_Fd_`GY9P!M`%IYvycZeaMv+CPunkLSkKa2Zg2$Zen zt40j$>?jEj8yov2G%7Cr^7`DAmD2fWPeRhym_kBAD2X2?djYQe%kDNK{rtIxY&89# zuS$asW^HYqx`9`mo;?;_Qe13oVSxqm5RK4t>1C?XXYFaFmiv-3JX>FaO#>Zy$*IP3h=L}5oI;#Ws zBE&D+N=c!il2A|t!p3J+exQ?wR?Njk=(yOW>3owmO5EZ+EArh+v@=@H~i-lmFQ=nCnPF%wsq(Pdt#q%7UY!tLs-> zOoNRnZaS-}86(w?8GzAHh^zyt718q2$fr}vVH>F#Bi)Y(z>t9da#!GfRVApqjfKcP z^6N?VJ#L4a+S3c2Ok6bIXP>aJ^nAU9dQdhjRZ6dFKOC*;vj|Z{yk1&ST(HL%`yTt( zuj?c@qUAV$4GgqIGGAM_mbm*DR&U}b0X9no^=YV(sIrn1Qmy@n#9vym+6}t`G{4X( zImw%R4S<;(i62CC5tw!ZXR|ynk3Wp=E8zD7VB$Q(8rHJjEI7&0(Zz-KC+S@k!KWE1 zvSW3rPhr>!DJ~x8$_mb)#>FCF0is4RJSmP;zM=5?IU1&uWm1EOqV^5d$+^~jo!W6F ztC1Q{bGb+7WD*kZzeZD2A1=4`1yd#EDWW3;UDl|gIZx<_=!(y-76m^@&Qp}czW>j5 z(|>WF{#X1;t9iBO+UerAPex(6(VuGRfjlTa4AS1VDn*|*gLjM_%6=JxW zL2lCg2Ot}TyLZjFzu4=QMO7XR4RR0!ctC=Gu|J>(Wln5X^mj(PvUfXUucuTG5z zA80>lqE!o@c}&oudIo?alWbJy4OHR#?b{s$!_AxE6XIm#=(UJ?fvFdMpl~rmeFv%i zXfFIdF{Cj7v4oypRp)_;i3zL?Urk*d95-VtD_m}FZVvtO2v6K1^LT0jTLw@rAy;)u ztgaY(?Q8zK+4S(?LsW;O5wu4jh^eXB_jM;}(8a+-fzIN-=mR4=t+1g?Yl`LFosJnW z9_mp`a9P)7VP&1m&aXvBSdSE40(}?-FSB!VCg$b=TU+)#E#)@gp9Nf3h(@hGzwTW4 z-tliTo)#4yonZKl3a;ln7%!-b2BJ#X*hUl4eQ9tkK>_fKjivk$6*co-`Ceq!DroJE zRhzXTbFJaX&Nx1{Tel>^m_#s$iP3`ct6!d)o{k!OfE=sGs=#S!kLE;i-^e$M?Os{> z8JJZ8w5t0(=|o)cVJwrAldA{Avk+Dw>V2w{>0rKq;ym)sr0Qe4%yecHodW3LW8E`1 zH!pWuCY|)$6az^nMLF@FPO0^^H*en9qnxrDA;$${;FBJJi>ZrqS2!8vl`B_z1_uMf z!U+HDE&CbPc$h%6qF#jfQeI9ulyB6!GLYR{=i?JB&6J~GK?=fQMn=Z;!8-7mwxRna zU0q!mlNw=zVe}3A^T%Vn&W9e4f}`H9?(FjPV?jY7A$eM<)pb4a8ykC)q!YluVIWn}fpwfHly5|-pMyHe< z8FS?YFeRGk$;^9Au%JN?M2Jt-dR5GOcz7UQ0v+n;=rD+i(x4PVP0cG{NAh|eSPzel zr4$#F!)Ei`xieQYX-rXle~ZMm}%BHW~*( zJzG0J8b#iCSGiD#a_Q0~H*gUU_US#G9i5$H)m-fC>Vkh8Zs917@|mUsC$NnTET%H`}CyjRIS)s%wbkKV6LreXxGKPR3L~`q9-AY&d%b+x!Btl zL#@5lAtJ!@2ssu+!Wq3SU{!Evs5Br7*lOF0i9SrQuVCWi9v*^SZ_=G020{HwhvNZ= z>!1O?Sy*@i0f+2}xwf2J1!MOSW=N1 zF)%!g-9ica97sta0DufAS>K~IjJ63}QdO8n%F6{IuTZuYZmW?~E%-Mippc(H!v8fp zEGOEo*!ERw8z#+yl@;<(fQZGR%Kb`0H0n4xethJRDQ>dFiy1D|v z&_&dbj9h#D`ZaD-Lq`Wbsu-iTJuZ$4_2ytRHmr}8eI49AIB0>gTV8djS85$8>>ML7 z8F@UL@|4i%VB6(j+sPGu5W}|l&+&0mP7Xf3_fZn`4lS^5Lg8~4z`1h)EmiS(f(f8q z9Dd;TlAH(EZnzQli(Rze zTUxU2(#Um7%zSAv6QR(n%Y(@B!y+nh-+i)iQvnS9JSh@4m)!dDFq(dAxlc~hN}DAx^or!PSwrV9?71B6B>}VCYF}3H|s9wTsOuW zex)nB4^=_sLOG{!6GN%^aG^B-zW&ufptzpyv~!ocZ8MeC{+F}as~~rTDKDX;C8wnD z8rLIEPo^$frp^xpa&!vOW4H|7jkdys#A7|o17hu5zRwvu6%`dsiTKRS%&1!ri2|38 z{-xYgV`M|^UYnCT>Aqylm5E_cyNO9j(GmJYEon;e1vX>+g2KY+5gVp!1KC%>D?`m@ zndY1ZZ{JkP!Z07T!ZpvFAO9|cRoHQf5mihDCfzU~;lZaH#9L2sK71N7IFa(E#kX`K zFZCo@S?%r5Rbvir?$$s8>WIilUkD%Q&NC26(qLvi2%|Zc+)U5#)cCleHe##Y=hbU2 zBftj>gwc2!Jb93fxL8PWI5;^AZ6|~SXybR-R_HYEb`7mRtYlqjV@V}b)xN=)+L~g| z;J=mp|2?emD$5yy(*buu+xeRR9;MhU&d(1YV1_2osKl2
tensorwrapper -  0.0.37 +  0.0.38
@@ -81,32 +81,33 @@ as_const_() const overridetensorwrapper::shape::detail_::SmoothAlias< SmoothType >inlineprotectedvirtual base_pointer typedef (defined in tensorwrapper::shape::detail_::SmoothAlias< SmoothType >)tensorwrapper::shape::detail_::SmoothAlias< SmoothType > base_reference typedeftensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > > - base_type typedeftensorwrapper::shape::detail_::SmoothAlias< SmoothType > - clone() consttensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >inline - clone_() const overridetensorwrapper::shape::detail_::SmoothAlias< SmoothType >inlineprotectedvirtual - clone_as() consttensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >inline - const_base_pointer typedeftensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > > - const_base_reference typedeftensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType > - const_smooth_view_pimpl_pointer typedeftensorwrapper::shape::detail_::SmoothAlias< SmoothType > - extent(size_type i) consttensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType >inline - extent_(size_type i) const overridetensorwrapper::shape::detail_::SmoothAlias< SmoothType >inlineprotected - tensorwrapper::shape::detail_::SmoothViewPIMPL::extent_(size_type i) const =0tensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType >protectedpure virtual - parent_type typedef (defined in tensorwrapper::shape::detail_::SmoothAlias< SmoothType >)tensorwrapper::shape::detail_::SmoothAlias< SmoothType > - PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >protected - PolymorphicBase(const PolymorphicBase &other)=defaulttensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >protected - rank() const noexcepttensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType >inline - rank_() const noexcept overridetensorwrapper::shape::detail_::SmoothAlias< SmoothType >inlineprotectedvirtual - rank_type typedef (defined in tensorwrapper::shape::detail_::SmoothAlias< SmoothType >)tensorwrapper::shape::detail_::SmoothAlias< SmoothType > - size() const noexcepttensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType >inline - size_() const noexcept overridetensorwrapper::shape::detail_::SmoothAlias< SmoothType >inlineprotectedvirtual - size_type typedef (defined in tensorwrapper::shape::detail_::SmoothAlias< SmoothType >)tensorwrapper::shape::detail_::SmoothAlias< SmoothType > - smooth_pointer typedef (defined in tensorwrapper::shape::detail_::SmoothAlias< SmoothType >)tensorwrapper::shape::detail_::SmoothAlias< SmoothType > - smooth_reference typedef (defined in tensorwrapper::shape::detail_::SmoothAlias< SmoothType >)tensorwrapper::shape::detail_::SmoothAlias< SmoothType > - SmoothAlias(smooth_reference shape)tensorwrapper::shape::detail_::SmoothAlias< SmoothType >inlineexplicit - string_type typedeftensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > > - to_string() consttensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >inline - to_string_() const (defined in tensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >)tensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >inlineprotectedvirtual - ~PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >virtual + base_rvalue typedeftensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > > + base_type typedeftensorwrapper::shape::detail_::SmoothAlias< SmoothType > + clone() consttensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >inline + clone_() const overridetensorwrapper::shape::detail_::SmoothAlias< SmoothType >inlineprotectedvirtual + clone_as() consttensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >inline + const_base_pointer typedeftensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > > + const_base_reference typedeftensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType > + const_smooth_view_pimpl_pointer typedeftensorwrapper::shape::detail_::SmoothAlias< SmoothType > + extent(size_type i) consttensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType >inline + extent_(size_type i) const overridetensorwrapper::shape::detail_::SmoothAlias< SmoothType >inlineprotected + tensorwrapper::shape::detail_::SmoothViewPIMPL::extent_(size_type i) const =0tensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType >protectedpure virtual + parent_type typedef (defined in tensorwrapper::shape::detail_::SmoothAlias< SmoothType >)tensorwrapper::shape::detail_::SmoothAlias< SmoothType > + PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >protected + PolymorphicBase(const PolymorphicBase &other)=defaulttensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >protected + rank() const noexcepttensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType >inline + rank_() const noexcept overridetensorwrapper::shape::detail_::SmoothAlias< SmoothType >inlineprotectedvirtual + rank_type typedef (defined in tensorwrapper::shape::detail_::SmoothAlias< SmoothType >)tensorwrapper::shape::detail_::SmoothAlias< SmoothType > + size() const noexcepttensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType >inline + size_() const noexcept overridetensorwrapper::shape::detail_::SmoothAlias< SmoothType >inlineprotectedvirtual + size_type typedef (defined in tensorwrapper::shape::detail_::SmoothAlias< SmoothType >)tensorwrapper::shape::detail_::SmoothAlias< SmoothType > + smooth_pointer typedef (defined in tensorwrapper::shape::detail_::SmoothAlias< SmoothType >)tensorwrapper::shape::detail_::SmoothAlias< SmoothType > + smooth_reference typedef (defined in tensorwrapper::shape::detail_::SmoothAlias< SmoothType >)tensorwrapper::shape::detail_::SmoothAlias< SmoothType > + SmoothAlias(smooth_reference shape)tensorwrapper::shape::detail_::SmoothAlias< SmoothType >inlineexplicit + string_type typedeftensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > > + to_string() consttensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >inline + to_string_() consttensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >inlineprotectedvirtual + ~PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >virtual
diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html b/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html index a1444d25..8fb74df1 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
@@ -158,6 +158,10 @@ using const_base_reference = const base_type &  Read-only reference to an object of type base_type.
  + +using base_rvalue = base_type && + Mutable rvalue reference to an object of type base_type.
+  using base_pointer = std::unique_ptr< base_type >  Pointer to an object of type base_type.
@@ -256,7 +260,8 @@  Implements are_equal_ assuming the derived class implements operator==. More...
  -virtual string_type to_string_ () const +virtual string_type to_string_ () const + Should be overridden by the derived class to provide logging details.
 

Detailed Description

diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL-members.html b/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL-members.html index 34d336a0..c158e87d 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL-members.html +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL-members.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
@@ -81,28 +81,29 @@ as_const_() const =0tensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType >protectedpure virtual base_pointer typedeftensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > > base_reference typedeftensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > > - base_type typedeftensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > > - clone() consttensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >inline - clone_() const=0tensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >protectedpure virtual - clone_as() consttensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >inline - const_base_pointer typedeftensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > > - const_base_reference typedeftensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType > - const_smooth_view_pimpl_pointer typedeftensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType > - extent(size_type i) consttensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType >inline - extent_(size_type i) const =0tensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType >protectedpure virtual - parent_type typedeftensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType > - PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >protected - PolymorphicBase(const PolymorphicBase &other)=defaulttensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >protected - rank() const noexcepttensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType >inline - rank_() const noexcept=0tensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType >protectedpure virtual - rank_type typedeftensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType > - size() const noexcepttensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType >inline - size_() const noexcept=0tensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType >protectedpure virtual - size_type typedef (defined in tensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType >)tensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType > - string_type typedeftensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > > - to_string() consttensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >inline - to_string_() const (defined in tensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >)tensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >inlineprotectedvirtual - ~PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >virtual + base_rvalue typedeftensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > > + base_type typedeftensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > > + clone() consttensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >inline + clone_() const=0tensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >protectedpure virtual + clone_as() consttensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >inline + const_base_pointer typedeftensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > > + const_base_reference typedeftensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType > + const_smooth_view_pimpl_pointer typedeftensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType > + extent(size_type i) consttensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType >inline + extent_(size_type i) const =0tensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType >protectedpure virtual + parent_type typedeftensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType > + PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >protected + PolymorphicBase(const PolymorphicBase &other)=defaulttensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >protected + rank() const noexcepttensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType >inline + rank_() const noexcept=0tensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType >protectedpure virtual + rank_type typedeftensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType > + size() const noexcepttensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType >inline + size_() const noexcept=0tensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType >protectedpure virtual + size_type typedef (defined in tensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType >)tensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType > + string_type typedeftensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > > + to_string() consttensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >inline + to_string_() consttensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >inlineprotectedvirtual + ~PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >virtual
diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html b/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html index cecf565a..a4453579 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
@@ -133,6 +133,10 @@ using const_base_reference = const base_type &  Read-only reference to an object of type base_type.
  + +using base_rvalue = base_type && + Mutable rvalue reference to an object of type base_type.
+  using base_pointer = std::unique_ptr< base_type >  Pointer to an object of type base_type.
@@ -221,7 +225,8 @@  Implements are_equal_ assuming the derived class implements operator==. More...
  -virtual string_type to_string_ () const +virtual string_type to_string_ () const + Should be overridden by the derived class to provide logging details.
 

Detailed Description

diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1sparsity_1_1Pattern-members.html b/tensorwrapper_cxx_api/classtensorwrapper_1_1sparsity_1_1Pattern-members.html index 629e6d28..b33f5774 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1sparsity_1_1Pattern-members.html +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1sparsity_1_1Pattern-members.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
@@ -73,8 +73,57 @@

This is the complete list of members for tensorwrapper::sparsity::Pattern, including all inherited members.

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
addition_assignment(LabelType &&this_labels, const_labeled_reference lhs, const_labeled_reference rhs)tensorwrapper::detail_::DSLBase< Pattern >
addition_assignment_(label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs) overridetensorwrapper::sparsity::Patternprotected
DSLBase< Pattern >::addition_assignment_(label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs)tensorwrapper::detail_::DSLBase< Pattern >inlineprotectedvirtual
are_different(const_base_reference rhs) const noexcepttensorwrapper::detail_::PolymorphicBase< Pattern >inline
are_equal(const_base_reference rhs) const noexcepttensorwrapper::detail_::PolymorphicBase< Pattern >inline
are_equal_(const_base_reference rhs) const noexcept overridetensorwrapper::sparsity::Patterninlineprotectedvirtual
are_equal_impl_(const_base_reference rhs) const noexcepttensorwrapper::detail_::PolymorphicBase< Pattern >inlineprotected
base_pointer typedeftensorwrapper::detail_::PolymorphicBase< Pattern >
base_reference typedeftensorwrapper::detail_::PolymorphicBase< Pattern >
base_rvalue typedeftensorwrapper::detail_::PolymorphicBase< Pattern >
base_type typedeftensorwrapper::detail_::PolymorphicBase< Pattern >
clone() consttensorwrapper::detail_::PolymorphicBase< Pattern >inline
clone_() const overridetensorwrapper::sparsity::Patterninlineprotectedvirtual
clone_as() consttensorwrapper::detail_::PolymorphicBase< Pattern >inline
const_base_pointer typedeftensorwrapper::detail_::PolymorphicBase< Pattern >
const_base_reference typedeftensorwrapper::detail_::PolymorphicBase< Pattern >
const_labeled_reference typedeftensorwrapper::detail_::DSLBase< Pattern >
dsl_const_reference typedeftensorwrapper::detail_::DSLBase< Pattern >
dsl_const_value_type typedeftensorwrapper::detail_::DSLBase< Pattern >
dsl_pointer typedeftensorwrapper::detail_::DSLBase< Pattern >
dsl_reference typedeftensorwrapper::detail_::DSLBase< Pattern >
dsl_value_type typedeftensorwrapper::detail_::DSLBase< Pattern >
label_type typedeftensorwrapper::detail_::DSLBase< Pattern >
labeled_const_type typedeftensorwrapper::detail_::DSLBase< Pattern >
labeled_type typedeftensorwrapper::detail_::DSLBase< Pattern >
multiplication_assignment(LabelType &&this_labels, const_labeled_reference lhs, const_labeled_reference rhs)tensorwrapper::detail_::DSLBase< Pattern >
multiplication_assignment_(label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs) overridetensorwrapper::sparsity::Patternprotected
DSLBase< Pattern >::multiplication_assignment_(label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs)tensorwrapper::detail_::DSLBase< Pattern >inlineprotectedvirtual
operator!=(const Pattern &rhs) const noexcepttensorwrapper::sparsity::Patterninline
operator()(LabelType &&labels)tensorwrapper::detail_::DSLBase< Pattern >inline
operator()(LabelType &&labels) consttensorwrapper::detail_::DSLBase< Pattern >inline
operator==(const Pattern &rhs) const noexcepttensorwrapper::sparsity::Patterninline
Pattern(size_type rank=0) noexcepttensorwrapper::sparsity::Patterninline
permute_assignment(LabelType &&this_labels, const_labeled_reference rhs)tensorwrapper::detail_::DSLBase< Pattern >
permute_assignment_(label_type this_labels, const_labeled_reference rhs) overridetensorwrapper::sparsity::Patternprotected
DSLBase< Pattern >::permute_assignment_(label_type this_labels, const_labeled_reference rhs)tensorwrapper::detail_::DSLBase< Pattern >inlineprotectedvirtual
PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< Pattern >protected
PolymorphicBase(const PolymorphicBase &other)=defaulttensorwrapper::detail_::PolymorphicBase< Pattern >protected
rank() const noexcepttensorwrapper::sparsity::Patterninline
scalar_multiplication(ScalarType &&scalar)tensorwrapper::detail_::DSLBase< Pattern >inline
scalar_multiplication_(double scalar)tensorwrapper::detail_::DSLBase< Pattern >inlineprotected
size_type typedeftensorwrapper::sparsity::Pattern
DSLBase< Pattern >::string_type typedeftensorwrapper::detail_::DSLBase< Pattern >
PolymorphicBase< Pattern >::string_type typedeftensorwrapper::detail_::PolymorphicBase< Pattern >
subtraction_assignment(LabelType &&this_labels, const_labeled_reference lhs, const_labeled_reference rhs)tensorwrapper::detail_::DSLBase< Pattern >
subtraction_assignment_(label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs) overridetensorwrapper::sparsity::Patternprotected
DSLBase< Pattern >::subtraction_assignment_(label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs)tensorwrapper::detail_::DSLBase< Pattern >inlineprotectedvirtual
to_string() consttensorwrapper::detail_::PolymorphicBase< Pattern >inline
to_string_() consttensorwrapper::detail_::PolymorphicBase< Pattern >inlineprotectedvirtual
~DSLBase() noexcept=defaulttensorwrapper::detail_::DSLBase< Pattern >virtual
~PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< Pattern >virtual
diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1sparsity_1_1Pattern.html b/tensorwrapper_cxx_api/classtensorwrapper_1_1sparsity_1_1Pattern.html index 442829f1..01fa76c0 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1sparsity_1_1Pattern.html +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1sparsity_1_1Pattern.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
@@ -67,7 +67,9 @@
+Public Types | Public Member Functions | +Protected Member Functions | List of all members
tensorwrapper::sparsity::Pattern Class Reference
@@ -78,19 +80,272 @@ More...

#include <pattern.hpp>

+
+Inheritance diagram for tensorwrapper::sparsity::Pattern:
+
+
Inheritance graph
+ + + + + +
[legend]
+
+Collaboration diagram for tensorwrapper::sparsity::Pattern:
+
+
Collaboration graph
+ + + + + +
[legend]
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

+Public Types

+using size_type = std::size_t
 Type used for indexing and offsets.
 
- Public Types inherited from tensorwrapper::detail_::DSLBase< Pattern >
+using dsl_value_type = Pattern
 Type of the derived class.
 
+using dsl_const_value_type = const dsl_value_type
 Type of a read-only object of type dsl_value_type.
 
+using dsl_reference = dsl_value_type &
 Type of a reference to an object of type dsl_value_type.
 
+using dsl_const_reference = const dsl_value_type &
 Type of a read-only reference to an object of type dsl_value_type.
 
+using dsl_pointer = std::unique_ptr< dsl_value_type >
 Type of a pointer to an object of type dsl_value_type.
 
+using string_type = std::string
 Type used for representing the dummy indices as a string.
 
+using labeled_type = dsl::Labeled< dsl_value_type, string_type >
 Type of a labeled object.
 
+using labeled_const_type = dsl::Labeled< dsl_const_value_type, string_type >
 Type of a labeled read-only object (n.b. labels are mutable)
 
+using label_type = typename labeled_type::label_type
 Type of parsed labels.
 
+using const_labeled_reference = const labeled_const_type &
 Type of a read-only reference to a labeled_type object.
 
- Public Types inherited from tensorwrapper::detail_::PolymorphicBase< Pattern >
+using base_type = Pattern
 Type *this is implementing.
 
+using base_reference = base_type &
 Mutable reference to an object of type base_type.
 
+using const_base_reference = const base_type &
 Read-only reference to an object of type base_type.
 
+using base_rvalue = base_type &&
 Mutable rvalue reference to an object of type base_type.
 
+using base_pointer = std::unique_ptr< base_type >
 Pointer to an object of type base_type.
 
+using const_base_pointer = std::unique_ptr< const base_type >
 Pointer to a read-only object of type base_type.
 
+using string_type = std::string
 Type used for representing *this as a string.
 
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

Public Member Functions

 Pattern (size_type rank=0) noexcept
 Creates a pattern for a rank rank tensor. More...
 
size_type rank () const noexcept
 Provides the rank of the tensor *this assumes. More...
 
bool operator== (const Pattern &rhs) const noexcept
 Determines if *this and rhs describe the same sparsity pattern. More...
 
bool operator!= (const Pattern &rhs) const noexcept
 Is *this different from rhs? More...
 
- Public Member Functions inherited from tensorwrapper::detail_::DSLBase< Pattern >
+virtual ~DSLBase () noexcept=default
 Polymorphic no-throw defaulted dtor.
 
labeled_type operator() (LabelType &&labels)
 Associates labels with the modes of *this. More...
 
labeled_const_type operator() (LabelType &&labels) const
 Associates labels with the modes of *this. More...
 
dsl_reference addition_assignment (LabelType &&this_labels, const_labeled_reference lhs, const_labeled_reference rhs)
 Set this to the result of lhs + rhs. More...
 
dsl_reference subtraction_assignment (LabelType &&this_labels, const_labeled_reference lhs, const_labeled_reference rhs)
 Set this to the result of lhs - rhs. More...
 
dsl_reference multiplication_assignment (LabelType &&this_labels, const_labeled_reference lhs, const_labeled_reference rhs)
 Set this to the result of lhs * rhs. More...
 
dsl_reference permute_assignment (LabelType &&this_labels, const_labeled_reference rhs)
 Sets *this to a permutation of rhs. More...
 
dsl_reference scalar_multiplication (ScalarType &&scalar)
 Scales *this by scalar. More...
 
- Public Member Functions inherited from tensorwrapper::detail_::PolymorphicBase< Pattern >
+virtual ~PolymorphicBase () noexcept=default
 Defaulted no-throw polymorphic dtor.
 
base_pointer clone () const
 Creates a deep polymorphic copy of *this via the base class. More...
 
auto clone_as () const
 Creates a deep polymorphic copy, but returns the pointer as a class other than base_type. More...
 
bool are_equal (const_base_reference rhs) const noexcept
 Determines if *this and rhs are polymorphically equal. More...
 
bool are_different (const_base_reference rhs) const noexcept
 Determines if *this and rhs are polymorphically different. More...
 
auto to_string () const
 Returns a string representation of *this. More...
 
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

+Protected Member Functions

+polymorphic_base::base_pointer clone_ () const override
 Implements clone by calling copy constructor.
 
+bool are_equal_ (const_base_reference rhs) const noexcept override
 Implements are_equal by calling implementation provided by the base.
 
+dsl_reference addition_assignment_ (label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs) override
 Implements addition_assignment via permute_assignment.
 
+dsl_reference subtraction_assignment_ (label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs) override
 Implements subtraction_assignment via permute_assignment.
 
+dsl_reference multiplication_assignment_ (label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs) override
 Implements multiplication_assignment via permute_assignment.
 
+dsl_reference permute_assignment_ (label_type this_labels, const_labeled_reference rhs) override
 Implements permute_assignment by permuting the extents in rhs.
 
- Protected Member Functions inherited from tensorwrapper::detail_::DSLBase< Pattern >
+virtual dsl_reference addition_assignment_ (label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs)
 Derived class should overwrite to implement addition_assignment.
 
+virtual dsl_reference subtraction_assignment_ (label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs)
 Derived class should overwrite to implement subtraction_assignment.
 
+virtual dsl_reference multiplication_assignment_ (label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs)
 Derived class should overwrite to implement multiplication_assignment.
 
+virtual dsl_reference permute_assignment_ (label_type this_labels, const_labeled_reference rhs)
 Derived class should overwrite to implement permute_assignment.
 
+dsl_reference scalar_multiplication_ (double scalar)
 Derived class should overwrite to implement scalar_multiplication.
 
- Protected Member Functions inherited from tensorwrapper::detail_::PolymorphicBase< Pattern >
 PolymorphicBase () noexcept=default
 No-op default ctor. More...
 
 PolymorphicBase (const PolymorphicBase &other)=default
 Copy ctor. More...
 
bool are_equal_impl_ (const_base_reference rhs) const noexcept
 Implements are_equal_ assuming the derived class implements operator==. More...
 
+virtual string_type to_string_ () const
 Should be overridden by the derived class to provide logging details.
 

Detailed Description

Base class for objects describing the sparsity of a tensor.

-

Member Function Documentation

+

Constructor & Destructor Documentation

+ +

◆ Pattern()

+ +
+
+ + + + + +
+ + + + + + + + +
tensorwrapper::sparsity::Pattern::Pattern (size_type rank = 0)
+ 		+inlinenoexcept
+
+ +

Creates a pattern for a rank rank tensor.

+

This constructor creates a sparsity pattern for a dense tensor with rank modes.

+
Parameters
+ + +
[in]rankThe number of modes in the associated tensor.
+
+
+
Exceptions
+ + +
NoneNo throw guarantee.
+
+
+ +
+
+

Member Function Documentation

◆ operator!=()

@@ -158,7 +413,7 @@

Determines if *this and rhs describe the same sparsity pattern.

-

At present the sparsity component of TensorWrapper is a stub so this method always returns true.

+

At present the sparsity component only tracks the rank of the tensor so two Patterns are value equal if they describe tensors with the same rank.

Parameters
@@ -175,8 +430,43 @@

+

◆ rank()

+ +
+
+

[in]rhsThe object to compare against.
+ + + + +
+ + + + + + + +
size_type tensorwrapper::sparsity::Pattern::rank () const
+ 		+inlinenoexcept
+
+ +

Provides the rank of the tensor *this assumes.

+
Returns
The rank of the tensor *this describes.
+
Exceptions
+ + +
NoneNo throw guarantee.
+
+
+ +
+ +
The documentation for this class was generated from the following files:
  • include/tensorwrapper/sparsity/pattern.hpp
    • +
  • src/tensorwrapper/sparsity/pattern.cpp
diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1sparsity_1_1Pattern__coll__graph.map b/tensorwrapper_cxx_api/classtensorwrapper_1_1sparsity_1_1Pattern__coll__graph.map new file mode 100644 index 00000000..8d64b7a0 --- /dev/null +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1sparsity_1_1Pattern__coll__graph.map @@ -0,0 +1,5 @@ + + + + + diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1sparsity_1_1Pattern__coll__graph.md5 b/tensorwrapper_cxx_api/classtensorwrapper_1_1sparsity_1_1Pattern__coll__graph.md5 new file mode 100644 index 00000000..39d7cb24 --- /dev/null +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1sparsity_1_1Pattern__coll__graph.md5 @@ -0,0 +1 @@ +733742bfdf4003ba33a0ba7b6657c25f \ No newline at end of file diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1sparsity_1_1Pattern__coll__graph.png b/tensorwrapper_cxx_api/classtensorwrapper_1_1sparsity_1_1Pattern__coll__graph.png new file mode 100644 index 0000000000000000000000000000000000000000..130ff50039c3e9d2441140f3c1ea44b5ce4cf7cc GIT binary patch literal 9670 zcmcI~byQW+x9(9SB$Ni}1_kL(r4f)WX(Xkj8x)XE=@yWZ1`%nIk`_Ub?(UX;)8BpL zzWd()?>Gi9;CS}hYt8x1FLtQ%a~Ujj5_ALtfh8v^sfs|{>W80Q&~C%m-0sIK@D0U8 zUPcme^Y7n>rh+&Gf(jug`BdFKeS6wN56|M7e~La( znMo6ed9D6eSeV8usXU52=J-d?N)sNHnn>YPj%+AxzAMxI5GKX^C0$&0DP$_?+559A zj*E;8`flu)CnJLwzs1ZmJyryQ&W)27xwtXguwf+$+4oQ3+Z+$710e#TjmU%ykFhk|Vv>?--F6K$PH&H-G&EcUVUY%T;Uh3f6S4+JM@G^GoTPs@A!-t`va*tr z_@;6ZM*KyW-h@dhDFWQ&w_K`U&wrn%xQ%GTEE~Lyc=PIMIx+(B+n*l;f%t^%aN?q@ zr6rR)lqu>X__e>ju8v&5(e(A?ojI&K4uqHYLrM{tf-a%etgNgu(G=u6Dvbm2!r#x% z&X~2z)URG6+ye^b;q%^%CA?@K?+7O%A|zxrY)+TXt*fh}4ipp=%*o05s<-namKN#u z?N7zU`>D^LKd-E;G%zq=A++B5Q<=nO*x4Hw7iVi@b98hhEF!Wy-4IN~%gxQAQx({6 zo|c>(`0gDK4-ZbH&2+uXXo-#jgVX%?cQ3o5I(lEed}+n~!pw|byzs+^Z{NN>VIe&I zgK0dy)t7~URN9DLpk@^c&)tsWDl(e+T z>FJE5BqDP1NIp)d6$L*(zij0ntA`eYncKU&(Mdvrf~l#gGtEA_EQEYKJVWb88yl}M z+oq&0QC=rot-bq)YHyz? z>*y2}6a;HgsjI6~1yYFlMwDOgcTu8cGb&}yMb25g<|iUb8W|ZG9o0la3K$tt7iQ{9 zVoL;3rY3x&`@e#0e=2DYF#^lV=@94874M18MNPHV~fRF}N+6rS*2lA8M8_KAyJ^fv* z<>cr%H9dWGbyaTIG6QFsl(f3NtvEtGHrUsf&S@6b+$CgS+ zGt=mi#HxS3T|3*@*l6CDJoNjw8B{W1_?fq;!7Z^{pR20AYguuVRF=cSjyK23_39QD z7hk@5^~%n!*?v|OY9AF9HRqm63oMC_ZfRIa3@S0>ekCyk{xy<`QA|guQ%0)#wwRRZ* zK`ALITRRjK6t=duUD1?XN=8jhO?Y^C-Hg?y?u#fWC@)^T0Qi7aE|mt~Bd_;3H23nl zNHX+&h>hm&?~k9rEGAQT+G=BKTcDKHY~D{2E32-f^8gPoKM7UmX@NFE9VtoJ`bMx3#s^)YK4c3puUy#nQ^0pPfO2FwoOy zi2A%RG^C`CkB!YPFBh}=MQ34Qfq@bJ`7?K2gSEA_m%DoeF^9=Qdng(;C1uu^FT7F? zqZ1S7;cU%lckdckYLoKXB#ZfpdTf5uDE?wM4QJsCZ^j^Eji3-o&1p1ricg4*9U2-k zwzek4#;&j#=giSlsa~R05Wzrvo69kNbUm{TRj}{H@@QL%oL@jdN=AlFzh1rjfbUKw z5f1K4f4-FZbb#q^o9O=;0;AYIO7n`!>gprqj)-rhw+G<%pVUAb0FXDmcNiTTBl4S- zlaUGTT70Zuf3!2*&_4R>*RKyBsCd(CEiKnpSKT&8ADfgz1u?&RCLs~fyWH8?`7G~O zc3P-^D|DHkJE>ut2hygPK3R#uVZLcAOt4&zm3)?;NI>?O_3%{e(H z@Ls4{1%~0SuGR1FFnW&iva>mS&X0=J3PipCVza5l3n<&&la`XZcekUXBaP2~#jy^i z(&vf__uZybCX_alN?csriOI>sgM+1exmuZRzVwN7jQZ;F7Vm93!UzB{4p#?jtE(q# ztcmuc*bqv^VdDE6brk0Ya^uIGa(Nk~bd>i5M1e^#0G_Vo1FO?_=$J?x4k zCBnxKH1sPhFQ2WopN)U0_OJJU{d%97X`rKXcD9-Ypv5G>Uf0I&vVkA#$1En+GWMv$ z9b0_X=XAQ|`nVkS1m-MlAe=G)!sf;X^ySI*#cpr2%E73vJv}}B-8=qBsQ2QNl7s{V zJUl&pFSctRKYrXpX@HoqeAIngI>*$Y-8Y5H;@8oV?$6LXsO#1Dqhu&}n**JHP1e~>Zpq0&n6ey^xt4^(z{clYvYI5>P|YpY*t zM;_N*Qd}G-gsH$Vn0*jR-z`V9ypr;f;-f6xcf4U3-8F*`jAMv!5XXJt{0Mi`2RyIv z#eaPNzVPiW65yUvmM9>T{@2&@k)(V~Cmj-Lk~Bqyg@u4Bl_tmrtb9%%rpO}j$IhegxW z^kYp8&wddxy0c(L*W$atz`4_5CQj6z6{C+oq%BQM4u)hXuVCZ(>}P;ggcGr??7L5X zv5iZ^BfK*Fxx2RZV{q{F;2?(>MPQJ6L&>CDG>-M;U~MQDidJpZDog&+p$ggU#%i#h*S2x@^Sf=F+OB|EFQh z-jh8~W~Zj6eml5IDeC<-KOdzf{TE}{ouDP*;I(C3c~yBu#qFJ)fu5d6%*>O`K0*Q( z9)6)6zr=359S=;eSNc=zTQc~~`xvjUMH8GrCr{H=6AV|sv?^^1n3Q& zzHk4|m^d*x8TL3QFK>Be<%{o?rgsA#cEdWYnB{v&Z56P&4vU>umX>q$O_~IeT|-0rfA<$97nd|H!=CEs zj3cDWLL_N2g!oKX`phQ3WE`I=Reibs(`VC^w~TVnA~$9H+~CHcj#N$64%1{8QF!-9 zIGTE4MTKYg`@j=d`ooQ1Q55?7r!7j#+sO!G#~2xu!kB6UOd=qM9O(N9*d()_uxQFvk42|*QDQc?n>BlP!tbhUEMI$G4iq}eC$~*(bOo8>Iz+`uwNwY2Sv2uX_^KbZeiv zZT(#@Z^`_*eq=B-`a||~zU}MiXxYX_=f;M#XiH^%edX7`-5ue6>RNmYE|{3kb$TyZ z$CBGPRvaUN8g)kT@UZ_RkGgvm4Un?)r}E`jnOh_NTQ_&%TCJoVaG8zYYsFfWKG$bw zRaJr{kks!mHn(fLZjOd`@7^W4<8O{B;VekP6;x_TWNRB)`BJef ziie))wB$0?W07)gDUE;9!>;kLu46Qx=_HG8su9^YXGU zyUWjKU6BH;k2iiht-}0qD+`;@@<^|#szSeaPt%3%i7hmKEG3;fpQDoRt+aF?w@V?X=wti-4#4$jr5ZL|b52fWpfs)Cnza7~eJ(>0aHx zfAgVQP4?7sPKG4<8jZ(moj*kyUtP`*#;IMog98b|o_39iaK3mH0?G^F6Ijoa=Nc?Yf$VaA}UJMZHFwNm1-U3$ z>+646@W+7=0Mh^76hTH9SmnxaxwsfQyPl|Q15GDDf43wi>$W>{wa^jnb8+&3n3zn+ zm4%m=m!2N^K32=+K`$IJNLNlSF0q@-!)l8`^mpIwo6i^?KJ1>EX>M%11b*fI23oBv z1cx??On@d<7N`Kc*J&ZZ9T?kGjdfB$fP{s`s?cuZ@Xw#$%&RdlFko81SCHXwvl;2> z#F*0M=gxxDy}cOJbP3OxA3bv2nXXsIRYw znV2gRJ<#8;q5fP%#?ehak)>71sJqv(KtTjW>LtT@j-?taIeA9Q&DAcnp#&O?Vm+uM zDyk=;l=k+oMKQjy7nYVvp&i#t>1k;N7o5^N7J{sx4TQmEXKai^O6s-tGaJOPuI?l< z2H~HH2{1a?i80lNZyK9nwQsR;LnVQqhaBZ$2F5_!7#qW!^xQ11g~8Txwvq;03x)>V zJD$srWBaMEu|ONu)B^lW?~A3if%1w?lA?*taohmuAJ+>z?An9>@&lACkyKh(Pj3aZ68}-u52;3A;v5u#J@GJ7x_4l}yi)twj;JlP=WxC;u`A#WbOkhK zV!ydO9qy$+LR^*!pC(W`nj&(HvBhJ4Ym1DCsLPa7Ur#S0B0@Tn#AT)L0bzK@vSX;A z64VA&Qivo>3nFe7VzvRVgRiJpbHcR5OJT`;Im}hzB=H_t>iW9Z=h9I6LB-*qL zeU>*i!m|2KI2{(+!360|Vp}9aPtVBMx2Nmf-UNbA90dJr_3D+V=TYIJqx!r8@)n<9ib(h%n)7+u!liC(3Y3ZJ6eKoaz01L*B`#n`KT(~R-n8K=o z#^d1NWci%v08ejfx{7$f6&4;IS_=MykmC}XZ@C}nxOVz`b<0<&x$o69M~FI-6RhHX zZgvG?!=3%zC@xP=Pv2waLP89>+}f)mWYuHB4V?*W3;~s;_t`QQc-;GC2?3Pfutz!- zMy=<^oBLht=X4i(M0$K+XTD>{gpvaCm&x(6^9||SO%w#;Lri&jd2{o1zG51RD=Owc zzw<*0txVKWu{TrK2bzE2*UNW%3=8q!D)*mV`J)o*aU6g!Q)F^>)~`R6=X7_rppXm) z$6@^!y;Ly*wDOZ?=%}ToC9p#~VSw}|0^U7t6Uoscm_kLGi}h9xe71!(&oO8!dE-c|3rhWn?Ta|L(hoPE7@bF=dhCbjza&@W+wa z0W=_D*qHyltlL9y0P7tb9D;&^@as?s*0o$E#{**mxD$*~U^}R0{gE-i=aeW>U82}Z zkXJs#j4AIjdn?)s02n3omjLj^-6 z$!1AEzZ;mr?+-r(1_pv1*$3ndy1A;DgM)+Yp2cv!A{3{cqhl2u$H6#`;r*L9A{8p^ z%k$0hHhvOBys4R))IM@7$RiOiR{gJgbHhqVv^3^eCM~6<`t5EVq3pm?Zpiw zKSYQ&yInwCvcC9i`9lWzNeeP6YHxpv;foii%SkOTMzdN!46k#GwpbZ$i}_5nuJVnJ zaPOZ*di&xvv*7cd9?4>h3ktpjH7auqsMydX4hR4m{tg zcV=eC7pI2Z1I=AVKRGb*!s*enKRv>6Q3KUvZLQnQSn&IIWHe>?#AFtAAUF3~XXiNs z1BzbRKCn!^GL9tczIkF@od-kfH%)Jy&JJ#=P+q;^BN4Vo7A^7#DF8hnT-F-0@$Tn?v&URkO7%mZXtF<4B<`DT&}G1M{w0z=`2C zf9GF^sAMkSZoB#P)Rbl!P^;yhr#5OLBEBq-n7MF6oiQ*Dam3#@?>uR` zX>JG)?~lR6LY&P_3^RjVwhd{S&%XD$h6f9)p}&8!;CW5!%^wT)wbWG1x&*7wZ^giJ zGJ5ditRy_VHJ zUtja${&|jkN{e?`3T{@ela- zx+notFD349_3Thef}IY*bR;xjLcH?-A&b~o!ku3Riywvu*i$gc6%`eo1)J*YN!r-? z`1pi`8sg*eG24KI+(tq&+r*>A5AT36LJCH3C>~?TE5I}X0RhmM`}_N_KiS#;n@{6+ z=qM=-0z!|BjU^=|Ek0b>=PxcCH;~aD`e*9zJ#!!D*99hnjf?*7?Tqoq7B$!7*J7!DK;#x4X70j-wS)?loBuf>(~c5!yb7N4G;22h8izWlow z4QxoWMEk9uB+OuGAQ}@BB;~?jS~OxCF2ClNbeox(fmEZvyW7Fd?ez4t1?&wO85skE z%-UK$m0&$FFkE}$AA-@!P4f8Bqi0mu*lBy*ZS9`rzs5*`8fdQ=_r+ zGghVVHsZrI3a&-BoOhibYsPcG^P`6X?t^K3(I%(=oS}N>_1alq@Ig~KUP^0eB|$Qv z&9ZWM=8k-M=Vwn3x*@&AZD@^V->dTkW-V`TZdkU-ke&wF7!S?%kJrc0V*%GJmR#)rBa!fX9lLagap!%c~)@Le;M}5 zen_F!K)?PS=}nCje>#M9dwYAJ-(YS+N8dq4R`Ir7=t*FPmV3y?whMlvEFJ8rYEgXG zVt+CREhlFc5ju<<(V2 zdivN}3PIXk2aCi<(y;nSe_}(gz0V?fu5IsRQ4B6-~fCF#bzR zZJ#{(1}1Zeqtt&dd)M#4J4@7uq@{~90*QnK zNt;JW&u45^R8(4eZXt}mjqG@9`Zy{>D_`xk-ER{?M|@*e+FmF*SIe5cgLtFm-?La! zUe0#ij2G9P&TBi-pT?&#o%;#)T&-Z3A-^O$yLH(SSazQ3dJLA*kWswA^?xPE8lTY- z#L3zGS&?C3-`N$I@IjHGqM+c~OE-1yJrwggVFCUQm*wHnaPg7L`vrl(yWn6(Iyz-c z>C&j1&PY<|90*bQrjTwKF=4()Pq=u5{~)~MnXIg(y?xh>3(xqX*9Ti?VpO);bApHLq8yF$jHe5OnfkA*x9w)o4$u35Xkobo&~6RMc{By zScn1HMyYP?Kq^mow`r!JOHX&V6%b5_0U*SNRt2bJ5Pbab;r_vaNu@Sq(@oxIoCdPZ zc0a+JBp@(@ov^ed#=#jHAD7GY4+`ppiYs`YalSV%(MU%{^+q~(Xx$m)tne)?gUs}F zo0l(h3kp`(*FAP;L>eo=x_$I0talldJ|`6wB1=fe!C@atx=wEgI_5D8%Z%5qNEjvd z+23CBPVf{!Ui(3CwCd{qR@ngCpbSz@ywe#gr6+Z%o$8Z&>e zjWMT`%d<*7ytUew5|E{2Ogst;%^do5n*AFAZcl7YO1Qf z*Jl<7@en5-92{U`VuIPx-StT;NJ6TPhQLe_!UTw5QXy3by(cNz4wBoRhPISNs>{%o zI9VZ+eHqW_L@?7aI*p}L+Z%M^>8xK?x2dPQ`^S$Tx%v2*Q_&tQZQd?Vd>URIhJ7=j ztE)R!stZaL0uv@&>i4O7CLj-`>wu`!T2K-?hN!^DoJHxUbhz_(ogp)vSdCx@mZ-snKV|_c=Kl#U3h}6MHOmcr zz_x`m0|gJUh$9I*4S6e|g)>+gM@J#QcXsSXvh>1b9ik-18>5z*AowQ6M2TIE!Mtya z8~PD41prD&xZLZeFoPYPq*P566=Y@q!1DqsDmY2K|5|!q%~uMQvRmjHN%r%f@}-!O zu1Km_S$K4VjF7N%aUY&TfUdzOC!b!GMYu0xPWw~p>yrqjlzLI^=2N1y?$Uzmao(rIw&CF395GyBh4xH&k^)^ekL zZ>~;ZZ>zLRAkR8vbaZx>4CDHDf<+3Popc<-Bx&2R8$0GNk>NqLaWJId&V1)Ti-S<{>-Q;bK;mND`RIohdhMWWzIK+ zHD-Y<)aM+cKmd7um<|-tTH4zDUMDt#N4Mj*gr^@+;-$=*2!`c=>U7 z9ZIJwiu__JPAUEYmsC!N!2>o!hFc6ZB3>unhy8poi%9?MAR1qch_Ed{dgl?oOK!pMW8 + + + + diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1sparsity_1_1Pattern__inherit__graph.md5 b/tensorwrapper_cxx_api/classtensorwrapper_1_1sparsity_1_1Pattern__inherit__graph.md5 new file mode 100644 index 00000000..39d7cb24 --- /dev/null +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1sparsity_1_1Pattern__inherit__graph.md5 @@ -0,0 +1 @@ +733742bfdf4003ba33a0ba7b6657c25f \ No newline at end of file diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1sparsity_1_1Pattern__inherit__graph.png b/tensorwrapper_cxx_api/classtensorwrapper_1_1sparsity_1_1Pattern__inherit__graph.png new file mode 100644 index 0000000000000000000000000000000000000000..130ff50039c3e9d2441140f3c1ea44b5ce4cf7cc GIT binary patch literal 9670 zcmcI~byQW+x9(9SB$Ni}1_kL(r4f)WX(Xkj8x)XE=@yWZ1`%nIk`_Ub?(UX;)8BpL zzWd()?>Gi9;CS}hYt8x1FLtQ%a~Ujj5_ALtfh8v^sfs|{>W80Q&~C%m-0sIK@D0U8 zUPcme^Y7n>rh+&Gf(jug`BdFKeS6wN56|M7e~La( znMo6ed9D6eSeV8usXU52=J-d?N)sNHnn>YPj%+AxzAMxI5GKX^C0$&0DP$_?+559A zj*E;8`flu)CnJLwzs1ZmJyryQ&W)27xwtXguwf+$+4oQ3+Z+$710e#TjmU%ykFhk|Vv>?--F6K$PH&H-G&EcUVUY%T;Uh3f6S4+JM@G^GoTPs@A!-t`va*tr z_@;6ZM*KyW-h@dhDFWQ&w_K`U&wrn%xQ%GTEE~Lyc=PIMIx+(B+n*l;f%t^%aN?q@ zr6rR)lqu>X__e>ju8v&5(e(A?ojI&K4uqHYLrM{tf-a%etgNgu(G=u6Dvbm2!r#x% z&X~2z)URG6+ye^b;q%^%CA?@K?+7O%A|zxrY)+TXt*fh}4ipp=%*o05s<-namKN#u z?N7zU`>D^LKd-E;G%zq=A++B5Q<=nO*x4Hw7iVi@b98hhEF!Wy-4IN~%gxQAQx({6 zo|c>(`0gDK4-ZbH&2+uXXo-#jgVX%?cQ3o5I(lEed}+n~!pw|byzs+^Z{NN>VIe&I zgK0dy)t7~URN9DLpk@^c&)tsWDl(e+T z>FJE5BqDP1NIp)d6$L*(zij0ntA`eYncKU&(Mdvrf~l#gGtEA_EQEYKJVWb88yl}M z+oq&0QC=rot-bq)YHyz? z>*y2}6a;HgsjI6~1yYFlMwDOgcTu8cGb&}yMb25g<|iUb8W|ZG9o0la3K$tt7iQ{9 zVoL;3rY3x&`@e#0e=2DYF#^lV=@94874M18MNPHV~fRF}N+6rS*2lA8M8_KAyJ^fv* z<>cr%H9dWGbyaTIG6QFsl(f3NtvEtGHrUsf&S@6b+$CgS+ zGt=mi#HxS3T|3*@*l6CDJoNjw8B{W1_?fq;!7Z^{pR20AYguuVRF=cSjyK23_39QD z7hk@5^~%n!*?v|OY9AF9HRqm63oMC_ZfRIa3@S0>ekCyk{xy<`QA|guQ%0)#wwRRZ* zK`ALITRRjK6t=duUD1?XN=8jhO?Y^C-Hg?y?u#fWC@)^T0Qi7aE|mt~Bd_;3H23nl zNHX+&h>hm&?~k9rEGAQT+G=BKTcDKHY~D{2E32-f^8gPoKM7UmX@NFE9VtoJ`bMx3#s^)YK4c3puUy#nQ^0pPfO2FwoOy zi2A%RG^C`CkB!YPFBh}=MQ34Qfq@bJ`7?K2gSEA_m%DoeF^9=Qdng(;C1uu^FT7F? zqZ1S7;cU%lckdckYLoKXB#ZfpdTf5uDE?wM4QJsCZ^j^Eji3-o&1p1ricg4*9U2-k zwzek4#;&j#=giSlsa~R05Wzrvo69kNbUm{TRj}{H@@QL%oL@jdN=AlFzh1rjfbUKw z5f1K4f4-FZbb#q^o9O=;0;AYIO7n`!>gprqj)-rhw+G<%pVUAb0FXDmcNiTTBl4S- zlaUGTT70Zuf3!2*&_4R>*RKyBsCd(CEiKnpSKT&8ADfgz1u?&RCLs~fyWH8?`7G~O zc3P-^D|DHkJE>ut2hygPK3R#uVZLcAOt4&zm3)?;NI>?O_3%{e(H z@Ls4{1%~0SuGR1FFnW&iva>mS&X0=J3PipCVza5l3n<&&la`XZcekUXBaP2~#jy^i z(&vf__uZybCX_alN?csriOI>sgM+1exmuZRzVwN7jQZ;F7Vm93!UzB{4p#?jtE(q# ztcmuc*bqv^VdDE6brk0Ya^uIGa(Nk~bd>i5M1e^#0G_Vo1FO?_=$J?x4k zCBnxKH1sPhFQ2WopN)U0_OJJU{d%97X`rKXcD9-Ypv5G>Uf0I&vVkA#$1En+GWMv$ z9b0_X=XAQ|`nVkS1m-MlAe=G)!sf;X^ySI*#cpr2%E73vJv}}B-8=qBsQ2QNl7s{V zJUl&pFSctRKYrXpX@HoqeAIngI>*$Y-8Y5H;@8oV?$6LXsO#1Dqhu&}n**JHP1e~>Zpq0&n6ey^xt4^(z{clYvYI5>P|YpY*t zM;_N*Qd}G-gsH$Vn0*jR-z`V9ypr;f;-f6xcf4U3-8F*`jAMv!5XXJt{0Mi`2RyIv z#eaPNzVPiW65yUvmM9>T{@2&@k)(V~Cmj-Lk~Bqyg@u4Bl_tmrtb9%%rpO}j$IhegxW z^kYp8&wddxy0c(L*W$atz`4_5CQj6z6{C+oq%BQM4u)hXuVCZ(>}P;ggcGr??7L5X zv5iZ^BfK*Fxx2RZV{q{F;2?(>MPQJ6L&>CDG>-M;U~MQDidJpZDog&+p$ggU#%i#h*S2x@^Sf=F+OB|EFQh z-jh8~W~Zj6eml5IDeC<-KOdzf{TE}{ouDP*;I(C3c~yBu#qFJ)fu5d6%*>O`K0*Q( z9)6)6zr=359S=;eSNc=zTQc~~`xvjUMH8GrCr{H=6AV|sv?^^1n3Q& zzHk4|m^d*x8TL3QFK>Be<%{o?rgsA#cEdWYnB{v&Z56P&4vU>umX>q$O_~IeT|-0rfA<$97nd|H!=CEs zj3cDWLL_N2g!oKX`phQ3WE`I=Reibs(`VC^w~TVnA~$9H+~CHcj#N$64%1{8QF!-9 zIGTE4MTKYg`@j=d`ooQ1Q55?7r!7j#+sO!G#~2xu!kB6UOd=qM9O(N9*d()_uxQFvk42|*QDQc?n>BlP!tbhUEMI$G4iq}eC$~*(bOo8>Iz+`uwNwY2Sv2uX_^KbZeiv zZT(#@Z^`_*eq=B-`a||~zU}MiXxYX_=f;M#XiH^%edX7`-5ue6>RNmYE|{3kb$TyZ z$CBGPRvaUN8g)kT@UZ_RkGgvm4Un?)r}E`jnOh_NTQ_&%TCJoVaG8zYYsFfWKG$bw zRaJr{kks!mHn(fLZjOd`@7^W4<8O{B;VekP6;x_TWNRB)`BJef ziie))wB$0?W07)gDUE;9!>;kLu46Qx=_HG8su9^YXGU zyUWjKU6BH;k2iiht-}0qD+`;@@<^|#szSeaPt%3%i7hmKEG3;fpQDoRt+aF?w@V?X=wti-4#4$jr5ZL|b52fWpfs)Cnza7~eJ(>0aHx zfAgVQP4?7sPKG4<8jZ(moj*kyUtP`*#;IMog98b|o_39iaK3mH0?G^F6Ijoa=Nc?Yf$VaA}UJMZHFwNm1-U3$ z>+646@W+7=0Mh^76hTH9SmnxaxwsfQyPl|Q15GDDf43wi>$W>{wa^jnb8+&3n3zn+ zm4%m=m!2N^K32=+K`$IJNLNlSF0q@-!)l8`^mpIwo6i^?KJ1>EX>M%11b*fI23oBv z1cx??On@d<7N`Kc*J&ZZ9T?kGjdfB$fP{s`s?cuZ@Xw#$%&RdlFko81SCHXwvl;2> z#F*0M=gxxDy}cOJbP3OxA3bv2nXXsIRYw znV2gRJ<#8;q5fP%#?ehak)>71sJqv(KtTjW>LtT@j-?taIeA9Q&DAcnp#&O?Vm+uM zDyk=;l=k+oMKQjy7nYVvp&i#t>1k;N7o5^N7J{sx4TQmEXKai^O6s-tGaJOPuI?l< z2H~HH2{1a?i80lNZyK9nwQsR;LnVQqhaBZ$2F5_!7#qW!^xQ11g~8Txwvq;03x)>V zJD$srWBaMEu|ONu)B^lW?~A3if%1w?lA?*taohmuAJ+>z?An9>@&lACkyKh(Pj3aZ68}-u52;3A;v5u#J@GJ7x_4l}yi)twj;JlP=WxC;u`A#WbOkhK zV!ydO9qy$+LR^*!pC(W`nj&(HvBhJ4Ym1DCsLPa7Ur#S0B0@Tn#AT)L0bzK@vSX;A z64VA&Qivo>3nFe7VzvRVgRiJpbHcR5OJT`;Im}hzB=H_t>iW9Z=h9I6LB-*qL zeU>*i!m|2KI2{(+!360|Vp}9aPtVBMx2Nmf-UNbA90dJr_3D+V=TYIJqx!r8@)n<9ib(h%n)7+u!liC(3Y3ZJ6eKoaz01L*B`#n`KT(~R-n8K=o z#^d1NWci%v08ejfx{7$f6&4;IS_=MykmC}XZ@C}nxOVz`b<0<&x$o69M~FI-6RhHX zZgvG?!=3%zC@xP=Pv2waLP89>+}f)mWYuHB4V?*W3;~s;_t`QQc-;GC2?3Pfutz!- zMy=<^oBLht=X4i(M0$K+XTD>{gpvaCm&x(6^9||SO%w#;Lri&jd2{o1zG51RD=Owc zzw<*0txVKWu{TrK2bzE2*UNW%3=8q!D)*mV`J)o*aU6g!Q)F^>)~`R6=X7_rppXm) z$6@^!y;Ly*wDOZ?=%}ToC9p#~VSw}|0^U7t6Uoscm_kLGi}h9xe71!(&oO8!dE-c|3rhWn?Ta|L(hoPE7@bF=dhCbjza&@W+wa z0W=_D*qHyltlL9y0P7tb9D;&^@as?s*0o$E#{**mxD$*~U^}R0{gE-i=aeW>U82}Z zkXJs#j4AIjdn?)s02n3omjLj^-6 z$!1AEzZ;mr?+-r(1_pv1*$3ndy1A;DgM)+Yp2cv!A{3{cqhl2u$H6#`;r*L9A{8p^ z%k$0hHhvOBys4R))IM@7$RiOiR{gJgbHhqVv^3^eCM~6<`t5EVq3pm?Zpiw zKSYQ&yInwCvcC9i`9lWzNeeP6YHxpv;foii%SkOTMzdN!46k#GwpbZ$i}_5nuJVnJ zaPOZ*di&xvv*7cd9?4>h3ktpjH7auqsMydX4hR4m{tg zcV=eC7pI2Z1I=AVKRGb*!s*enKRv>6Q3KUvZLQnQSn&IIWHe>?#AFtAAUF3~XXiNs z1BzbRKCn!^GL9tczIkF@od-kfH%)Jy&JJ#=P+q;^BN4Vo7A^7#DF8hnT-F-0@$Tn?v&URkO7%mZXtF<4B<`DT&}G1M{w0z=`2C zf9GF^sAMkSZoB#P)Rbl!P^;yhr#5OLBEBq-n7MF6oiQ*Dam3#@?>uR` zX>JG)?~lR6LY&P_3^RjVwhd{S&%XD$h6f9)p}&8!;CW5!%^wT)wbWG1x&*7wZ^giJ zGJ5ditRy_VHJ zUtja${&|jkN{e?`3T{@ela- zx+notFD349_3Thef}IY*bR;xjLcH?-A&b~o!ku3Riywvu*i$gc6%`eo1)J*YN!r-? z`1pi`8sg*eG24KI+(tq&+r*>A5AT36LJCH3C>~?TE5I}X0RhmM`}_N_KiS#;n@{6+ z=qM=-0z!|BjU^=|Ek0b>=PxcCH;~aD`e*9zJ#!!D*99hnjf?*7?Tqoq7B$!7*J7!DK;#x4X70j-wS)?loBuf>(~c5!yb7N4G;22h8izWlow z4QxoWMEk9uB+OuGAQ}@BB;~?jS~OxCF2ClNbeox(fmEZvyW7Fd?ez4t1?&wO85skE z%-UK$m0&$FFkE}$AA-@!P4f8Bqi0mu*lBy*ZS9`rzs5*`8fdQ=_r+ zGghVVHsZrI3a&-BoOhibYsPcG^P`6X?t^K3(I%(=oS}N>_1alq@Ig~KUP^0eB|$Qv z&9ZWM=8k-M=Vwn3x*@&AZD@^V->dTkW-V`TZdkU-ke&wF7!S?%kJrc0V*%GJmR#)rBa!fX9lLagap!%c~)@Le;M}5 zen_F!K)?PS=}nCje>#M9dwYAJ-(YS+N8dq4R`Ir7=t*FPmV3y?whMlvEFJ8rYEgXG zVt+CREhlFc5ju<<(V2 zdivN}3PIXk2aCi<(y;nSe_}(gz0V?fu5IsRQ4B6-~fCF#bzR zZJ#{(1}1Zeqtt&dd)M#4J4@7uq@{~90*QnK zNt;JW&u45^R8(4eZXt}mjqG@9`Zy{>D_`xk-ER{?M|@*e+FmF*SIe5cgLtFm-?La! zUe0#ij2G9P&TBi-pT?&#o%;#)T&-Z3A-^O$yLH(SSazQ3dJLA*kWswA^?xPE8lTY- z#L3zGS&?C3-`N$I@IjHGqM+c~OE-1yJrwggVFCUQm*wHnaPg7L`vrl(yWn6(Iyz-c z>C&j1&PY<|90*bQrjTwKF=4()Pq=u5{~)~MnXIg(y?xh>3(xqX*9Ti?VpO);bApHLq8yF$jHe5OnfkA*x9w)o4$u35Xkobo&~6RMc{By zScn1HMyYP?Kq^mow`r!JOHX&V6%b5_0U*SNRt2bJ5Pbab;r_vaNu@Sq(@oxIoCdPZ zc0a+JBp@(@ov^ed#=#jHAD7GY4+`ppiYs`YalSV%(MU%{^+q~(Xx$m)tne)?gUs}F zo0l(h3kp`(*FAP;L>eo=x_$I0talldJ|`6wB1=fe!C@atx=wEgI_5D8%Z%5qNEjvd z+23CBPVf{!Ui(3CwCd{qR@ngCpbSz@ywe#gr6+Z%o$8Z&>e zjWMT`%d<*7ytUew5|E{2Ogst;%^do5n*AFAZcl7YO1Qf z*Jl<7@en5-92{U`VuIPx-StT;NJ6TPhQLe_!UTw5QXy3by(cNz4wBoRhPISNs>{%o zI9VZ+eHqW_L@?7aI*p}L+Z%M^>8xK?x2dPQ`^S$Tx%v2*Q_&tQZQd?Vd>URIhJ7=j ztE)R!stZaL0uv@&>i4O7CLj-`>wu`!T2K-?hN!^DoJHxUbhz_(ogp)vSdCx@mZ-snKV|_c=Kl#U3h}6MHOmcr zz_x`m0|gJUh$9I*4S6e|g)>+gM@J#QcXsSXvh>1b9ik-18>5z*AowQ6M2TIE!Mtya z8~PD41prD&xZLZeFoPYPq*P566=Y@q!1DqsDmY2K|5|!q%~uMQvRmjHN%r%f@}-!O zu1Km_S$K4VjF7N%aUY&TfUdzOC!b!GMYu0xPWw~p>yrqjlzLI^=2N1y?$Uzmao(rIw&CF395GyBh4xH&k^)^ekL zZ>~;ZZ>zLRAkR8vbaZx>4CDHDf<+3Popc<-Bx&2R8$0GNk>NqLaWJId&V1)Ti-S<{>-Q;bK;mND`RIohdhMWWzIK+ zHD-Y<)aM+cKmd7um<|-tTH4zDUMDt#N4Mj*gr^@+;-$=*2!`c=>U7 z9ZIJwiu__JPAUEYmsC!N!2>o!hFc6ZB3>unhy8poi%9?MAR1qch_Ed{dgl?oOK!pMW8
tensorwrapper -  0.0.37 +  0.0.38
@@ -73,20 +73,69 @@

This is the complete list of members for tensorwrapper::symmetry::Group, including all inherited members.

- - + + + + + + + + + + + + + + + + + + + + + + + + - - - + + + + + + + + + + + + + + + + + + + + + - - + + + + + + + + + + +
const_reference typedeftensorwrapper::symmetry::Group
count(const_reference op) const noexcepttensorwrapper::symmetry::Groupinline
addition_assignment(LabelType &&this_labels, const_labeled_reference lhs, const_labeled_reference rhs)tensorwrapper::detail_::DSLBase< Group >
addition_assignment_(label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs) overridetensorwrapper::symmetry::Groupprotected
DSLBase< Group >::addition_assignment_(label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs)tensorwrapper::detail_::DSLBase< Group >inlineprotectedvirtual
are_different(const_base_reference rhs) const noexcepttensorwrapper::detail_::PolymorphicBase< Group >inline
are_equal(const_base_reference rhs) const noexcepttensorwrapper::detail_::PolymorphicBase< Group >inline
are_equal_(const_base_reference rhs) const noexcept overridetensorwrapper::symmetry::Groupinlineprotectedvirtual
are_equal_impl_(const_base_reference rhs) const noexcepttensorwrapper::detail_::PolymorphicBase< Group >inlineprotected
base_pointer typedeftensorwrapper::detail_::PolymorphicBase< Group >
base_reference typedeftensorwrapper::detail_::PolymorphicBase< Group >
base_rvalue typedeftensorwrapper::detail_::PolymorphicBase< Group >
base_type typedeftensorwrapper::detail_::PolymorphicBase< Group >
clone() consttensorwrapper::detail_::PolymorphicBase< Group >inline
clone_() const overridetensorwrapper::symmetry::Groupinlineprotectedvirtual
clone_as() consttensorwrapper::detail_::PolymorphicBase< Group >inline
const_base_pointer typedeftensorwrapper::detail_::PolymorphicBase< Group >
const_base_reference typedeftensorwrapper::detail_::PolymorphicBase< Group >
const_labeled_reference typedeftensorwrapper::detail_::DSLBase< Group >
const_reference typedeftensorwrapper::symmetry::Group
count(const_reference op) const noexcepttensorwrapper::symmetry::Groupinline
dsl_const_reference typedeftensorwrapper::detail_::DSLBase< Group >
dsl_const_value_type typedeftensorwrapper::detail_::DSLBase< Group >
dsl_pointer typedeftensorwrapper::detail_::DSLBase< Group >
dsl_reference typedeftensorwrapper::detail_::DSLBase< Group >
dsl_value_type typedeftensorwrapper::detail_::DSLBase< Group >
Group() noexcept=defaulttensorwrapper::symmetry::Group
Group(const_reference op, Args &&... ops)tensorwrapper::symmetry::Groupinlineexplicit
Group(const Group &other)tensorwrapper::symmetry::Groupinline
Group(Group &&other) noexcept=defaulttensorwrapper::symmetry::Group
Group(mode_index_type rank) noexcepttensorwrapper::symmetry::Groupinlineexplicit
Group(const_reference op, Args &&... ops)tensorwrapper::symmetry::Groupinlineexplicit
Group(const Group &other)tensorwrapper::symmetry::Groupinline
Group(Group &&other) noexcept=defaulttensorwrapper::symmetry::Group
label_type typedeftensorwrapper::detail_::DSLBase< Group >
labeled_const_type typedeftensorwrapper::detail_::DSLBase< Group >
labeled_type typedeftensorwrapper::detail_::DSLBase< Group >
mode_index_type typedeftensorwrapper::symmetry::Group
multiplication_assignment(LabelType &&this_labels, const_labeled_reference lhs, const_labeled_reference rhs)tensorwrapper::detail_::DSLBase< Group >
multiplication_assignment_(label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs) overridetensorwrapper::symmetry::Groupprotected
DSLBase< Group >::multiplication_assignment_(label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs)tensorwrapper::detail_::DSLBase< Group >inlineprotectedvirtual
operator!=(const Group &rhs) const noexcepttensorwrapper::symmetry::Groupinline
operator()(LabelType &&labels)tensorwrapper::detail_::DSLBase< Group >inline
operator()(LabelType &&labels) consttensorwrapper::detail_::DSLBase< Group >inline
operator=(const Group &rhs)tensorwrapper::symmetry::Groupinline
operator=(Group &&rhs) noexcept=defaulttensorwrapper::symmetry::Group
operator==(const Group &rhs) const noexcepttensorwrapper::symmetry::Groupinline
permute_assignment(LabelType &&this_labels, const_labeled_reference rhs)tensorwrapper::detail_::DSLBase< Group >
permute_assignment_(label_type this_labels, const_labeled_reference rhs) overridetensorwrapper::symmetry::Groupprotected
DSLBase< Group >::permute_assignment_(label_type this_labels, const_labeled_reference rhs)tensorwrapper::detail_::DSLBase< Group >inlineprotectedvirtual
PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< Group >protected
PolymorphicBase(const PolymorphicBase &other)=defaulttensorwrapper::detail_::PolymorphicBase< Group >protected
rank() const noexcepttensorwrapper::symmetry::Groupinline
reference typedeftensorwrapper::symmetry::Group
scalar_multiplication(ScalarType &&scalar)tensorwrapper::detail_::DSLBase< Group >inline
scalar_multiplication_(double scalar)tensorwrapper::detail_::DSLBase< Group >inlineprotected
size_type typedeftensorwrapper::symmetry::Group
swap(Group &other) noexcepttensorwrapper::symmetry::Groupinline
value_type typedeftensorwrapper::symmetry::Group
DSLBase< Group >::string_type typedeftensorwrapper::detail_::DSLBase< Group >
PolymorphicBase< Group >::string_type typedeftensorwrapper::detail_::PolymorphicBase< Group >
subtraction_assignment(LabelType &&this_labels, const_labeled_reference lhs, const_labeled_reference rhs)tensorwrapper::detail_::DSLBase< Group >
subtraction_assignment_(label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs) overridetensorwrapper::symmetry::Groupprotected
DSLBase< Group >::subtraction_assignment_(label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs)tensorwrapper::detail_::DSLBase< Group >inlineprotectedvirtual
swap(Group &other) noexcepttensorwrapper::symmetry::Groupinline
to_string() consttensorwrapper::detail_::PolymorphicBase< Group >inline
to_string_() consttensorwrapper::detail_::PolymorphicBase< Group >inlineprotectedvirtual
value_type typedeftensorwrapper::symmetry::Group
~DSLBase() noexcept=defaulttensorwrapper::detail_::DSLBase< Group >virtual
~PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< Group >virtual
diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Group.html b/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Group.html index 93e9f50a..ea5af55e 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Group.html +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Group.html @@ -22,7 +22,7 @@
tensorwrapper -  0.0.37 +  0.0.38
@@ -69,6 +69,7 @@
Public Types | Public Member Functions | +Protected Member Functions | List of all members
tensorwrapper::symmetry::Group Class Reference
@@ -84,8 +85,10 @@
Inheritance graph
- - + + + +
[legend]
@@ -93,8 +96,10 @@
Collaboration graph
- - + + + +
[legend]
@@ -116,12 +121,89 @@ using  + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
size_type = std::size_t
 Unsigned integral type used for indexing and offsets.
 
+using mode_index_type = typename value_type::mode_index_type
 Type used for mode indices.
 
- Public Types inherited from tensorwrapper::detail_::DSLBase< Group >
+using dsl_value_type = Group
 Type of the derived class.
 
+using dsl_const_value_type = const dsl_value_type
 Type of a read-only object of type dsl_value_type.
 
+using dsl_reference = dsl_value_type &
 Type of a reference to an object of type dsl_value_type.
 
+using dsl_const_reference = const dsl_value_type &
 Type of a read-only reference to an object of type dsl_value_type.
 
+using dsl_pointer = std::unique_ptr< dsl_value_type >
 Type of a pointer to an object of type dsl_value_type.
 
+using string_type = std::string
 Type used for representing the dummy indices as a string.
 
+using labeled_type = dsl::Labeled< dsl_value_type, string_type >
 Type of a labeled object.
 
+using labeled_const_type = dsl::Labeled< dsl_const_value_type, string_type >
 Type of a labeled read-only object (n.b. labels are mutable)
 
+using label_type = typename labeled_type::label_type
 Type of parsed labels.
 
+using const_labeled_reference = const labeled_const_type &
 Type of a read-only reference to a labeled_type object.
 
- Public Types inherited from tensorwrapper::detail_::PolymorphicBase< Group >
+using base_type = Group
 Type *this is implementing.
 
+using base_reference = base_type &
 Mutable reference to an object of type base_type.
 
+using const_base_reference = const base_type &
 Read-only reference to an object of type base_type.
 
+using base_rvalue = base_type &&
 Mutable rvalue reference to an object of type base_type.
 
+using base_pointer = std::unique_ptr< base_type >
 Pointer to an object of type base_type.
 
+using const_base_pointer = std::unique_ptr< const base_type >
 Pointer to a read-only object of type base_type.
 
+using string_type = std::string
 Type used for representing *this as a string.
 
- + + + + @@ -141,6 +223,9 @@ + + + @@ -150,6 +235,112 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

Public Member Functions

 Group () noexcept=default
 Initializes *this to an empty group. More...
 Initializes *this to be the identity group of a scalar. More...
 
 Group (mode_index_type rank) noexcept
 Initializes *this as the identity group of a rank rank tensor. More...
 
template<typename... Args>
 Group (const_reference op, Args &&... ops)
 Creates a Group from the provided symmetry operations. More...
bool count (const_reference op) const noexcept
 Determines the number of times op appears in *this. More...
 
mode_index_type rank () const noexcept
 The rank of the tensor these symmetries describe. More...
 
void swap (Group &other) noexcept
 Exchanges the state of *this with that of other. More...
 
bool operator!= (const Group &rhs) const noexcept
 Determines if *this is different from rhs. More...
 
- Public Member Functions inherited from tensorwrapper::detail_::DSLBase< Group >
+virtual ~DSLBase () noexcept=default
 Polymorphic no-throw defaulted dtor.
 
labeled_type operator() (LabelType &&labels)
 Associates labels with the modes of *this. More...
 
labeled_const_type operator() (LabelType &&labels) const
 Associates labels with the modes of *this. More...
 
dsl_reference addition_assignment (LabelType &&this_labels, const_labeled_reference lhs, const_labeled_reference rhs)
 Set this to the result of lhs + rhs. More...
 
dsl_reference subtraction_assignment (LabelType &&this_labels, const_labeled_reference lhs, const_labeled_reference rhs)
 Set this to the result of lhs - rhs. More...
 
dsl_reference multiplication_assignment (LabelType &&this_labels, const_labeled_reference lhs, const_labeled_reference rhs)
 Set this to the result of lhs * rhs. More...
 
dsl_reference permute_assignment (LabelType &&this_labels, const_labeled_reference rhs)
 Sets *this to a permutation of rhs. More...
 
dsl_reference scalar_multiplication (ScalarType &&scalar)
 Scales *this by scalar. More...
 
- Public Member Functions inherited from tensorwrapper::detail_::PolymorphicBase< Group >
+virtual ~PolymorphicBase () noexcept=default
 Defaulted no-throw polymorphic dtor.
 
base_pointer clone () const
 Creates a deep polymorphic copy of *this via the base class. More...
 
auto clone_as () const
 Creates a deep polymorphic copy, but returns the pointer as a class other than base_type. More...
 
bool are_equal (const_base_reference rhs) const noexcept
 Determines if *this and rhs are polymorphically equal. More...
 
bool are_different (const_base_reference rhs) const noexcept
 Determines if *this and rhs are polymorphically different. More...
 
auto to_string () const
 Returns a string representation of *this. More...
 
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +

+Protected Member Functions

polymorphic_type::base_pointer clone_ () const override
 Derived classes should override this method to implement clone. More...
 
bool are_equal_ (const_base_reference rhs) const noexcept override
 Derived classes should override this method to implement are_equal. More...
 
+dsl_reference addition_assignment_ (label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs) override
 Implements addition_assignment via permute_assignment.
 
+dsl_reference subtraction_assignment_ (label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs) override
 Implements subtraction_assignment via permute_assignment.
 
+dsl_reference multiplication_assignment_ (label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs) override
 Implements multiplication_assignment via permute_assignment.
 
+dsl_reference permute_assignment_ (label_type this_labels, const_labeled_reference rhs) override
 Implements permute_assignment by permuting the extents in rhs.
 
- Protected Member Functions inherited from tensorwrapper::detail_::DSLBase< Group >
+virtual dsl_reference addition_assignment_ (label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs)
 Derived class should overwrite to implement addition_assignment.
 
+virtual dsl_reference subtraction_assignment_ (label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs)
 Derived class should overwrite to implement subtraction_assignment.
 
+virtual dsl_reference multiplication_assignment_ (label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs)
 Derived class should overwrite to implement multiplication_assignment.
 
+virtual dsl_reference permute_assignment_ (label_type this_labels, const_labeled_reference rhs)
 Derived class should overwrite to implement permute_assignment.
 
+dsl_reference scalar_multiplication_ (double scalar)
 Derived class should overwrite to implement scalar_multiplication.
 
- Protected Member Functions inherited from tensorwrapper::detail_::PolymorphicBase< Group >
 PolymorphicBase () noexcept=default
 No-op default ctor. More...
 
 PolymorphicBase (const PolymorphicBase &other)=default
 Copy ctor. More...
 
bool are_equal_impl_ (const_base_reference rhs) const noexcept
 Implements are_equal_ assuming the derived class implements operator==. More...
 
+virtual string_type to_string_ () const
 Should be overridden by the derived class to provide logging details.
 

Detailed Description

Container of the symmetry elements for a tensor.

@@ -157,7 +348,7 @@
Note
At present the Group class does not actually assert that it is a group, e.g., if the user only provides the permutation (0, 1, 2) we mathematically know that the permutation (0, 2, 1) is also a symmetry operation because it is the inverse of (0, 1, 2).

Constructor & Destructor Documentation

-

◆ Group() [1/4]

+

◆ Group() [1/5]

@@ -179,8 +370,48 @@

-

Initializes *this to an empty group.

-

This ctor creates a group describing the symmetries of an empty set set. Such a set is also the symmetry group of a scalar.

+

Initializes *this to be the identity group of a scalar.

+
Exceptions
+ + +
NoneNo throw guarantee
+
+
+ +

+
+ +

◆ Group() [2/5]

+ +
+
+ + + + + +
+ + + + + + + + +
tensorwrapper::symmetry::Group::Group (mode_index_type rank)
+ 		+inlineexplicitnoexcept
+
+ +

Initializes *this as the identity group of a rank rank tensor.

+

This ctor creates a group representing the identity group of a rank rank tensor.

+
Parameters
+ + +
[in]rankThe rank of the tensor the identity group describes.
+
+
Exceptions
@@ -191,7 +422,7 @@

-

◆ Group() [2/4]

+

◆ Group() [3/5]

@@ -243,6 +474,7 @@

Exceptions

NoneNo throw guarantee.
+
std::runtime_errorif op and ops do not all have the same rank. Strong throw guarantee.
std::bad_allocif there is a problem allocating the initial state. Strong throw guarantee.
@@ -251,7 +483,7 @@

-

◆ Group() [3/4]

+

◆ Group() [4/5]

@@ -292,7 +524,7 @@

-

◆ Group() [4/4]

+

◆ Group() [5/5]

@@ -332,6 +564,81 @@

Member Function Documentation

+ +

◆ are_equal_()

+ +
+
+ + + + + +
+ + + + + + + + +
bool tensorwrapper::symmetry::Group::are_equal_ (const_base_reference rhs) const
+ 		+inlineoverrideprotectedvirtualnoexcept
+
+ +

Derived classes should override this method to implement are_equal.

+

Each non-abstract derived class, T, should override this method so that it calls are_equal_impl_<T>. Assuming that T::operator== is defined for non-polymorphic value comparison, this will suffice for implementing are_equal.

+
Parameters
+ + +
[in]rhsThe object to compare against.
+
+
+
Returns
True if *this and rhs are polymorphically value equal and false otherwise.
+ +

Implements tensorwrapper::detail_::PolymorphicBase< Group >.

+ +
+
+ +

◆ clone_()

+ +
+
+ + + + + +
+ + + + + + + +
polymorphic_type::base_pointer tensorwrapper::symmetry::Group::clone_ () const
+ 		+inlineoverrideprotectedvirtual
+
+ +

Derived classes should override this method to implement clone.

+

In most cases the derived class should implement this method by calling `std::make_unique<DerivedType>(*this) where DerivedType is the derived class's type.

+
Returns
A deep copy of the derived class.
+
Exceptions
+ + +
std::bad_allocif there is a problem allocating the memory. Strong throw guarantee.
+
+
+ +

Implements tensorwrapper::detail_::PolymorphicBase< Group >.

+ +
+

◆ count()

@@ -524,7 +831,7 @@

Determines if *this is value equal to rhs.

-

Two Group objects are value equal if they contain the same number of operations and if each operation found in *this is also found in rhs.

+

Two Group objects are value equal if they contain the same number of operations, if each operation found in *this is also found in rhs, and if the rank of the associated tensor is the same for *this as rhs.

Parameters
@@ -539,6 +846,41 @@

+

◆ rank()

+ +
+
+

[in]rhsThe Group object we are comparing against.
+ + + + +
+ + + + + + + +
mode_index_type tensorwrapper::symmetry::Group::rank () const
+ 		+inlinenoexcept
+

+ +

The rank of the tensor these symmetries describe.

+

This is not the rank of the group, but rather the rank of the tensor that the symmetries of the group describe.

+
Returns
The rank of the tensor described by the symmetries in *this.
+
Exceptions
+ + +
NoneNo throw guarantee.
+
+
+
@@ -581,8 +923,9 @@

group.hpp +
  • src/tensorwrapper/symmetry/group.cpp

    • diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Group__coll__graph.map b/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Group__coll__graph.map index 1bb4a01f..91a60ce9 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Group__coll__graph.map +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Group__coll__graph.map @@ -1,4 +1,6 @@ - - + + + + diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Group__coll__graph.md5 b/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Group__coll__graph.md5 index 60f2ccdc..def8ca5d 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Group__coll__graph.md5 +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Group__coll__graph.md5 @@ -1 +1 @@ -0c2065b2a75eceef47b240edea19561d \ No newline at end of file +9321d1e76dfdeba05f69f41a3f2d63c3 \ No newline at end of file diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Group__coll__graph.png b/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Group__coll__graph.png index aa436a5f7b7fb0cb1d749e6fe9c368a3cf17776a..73c704c05dd86ef9002767457e8b72cd799a7a0c 100644 GIT binary patch literal 15517 zcmdUWgtEr9?_XKm-XzPyq!A7YK-?G}0jg(kUH_Zk3P_kq!x^yA@GDQt6PE z?!IHXzjMw#=Y01MxX&6m*eBY z|MPeXufboqhL5BqP^ZX$?`pGNp-@byhZ6TyT#}YYUuY*;H#Nb>>R$T1LJ#T%A(U8^|c$p@z)^BAqcH^mwmWhzPzeRZV~5r*fBeJfrM4o=n=voVkK`w#m+`fGduzOLJv2DN1NA>FOL6Pa6$BGlp#AF=mLwn+%P= zK*XL(j>c!c?oG}K-|so|uP?>oRxu_fCQ&jOA1IS}^0|$D6NXV$6hy(9&Gf9vCf)y|u{?=kb`62S%%%OBv2ErxSPcslbP% z<0zt8F=S{h6ze}q-d>48+4Fro~tc7Niyxktr!Dv0uO5`sS8t3Bx63OvxKHxoj#bs-WQD$+sQG zH}TJ&dHwpeerM9%3dbd?la07~F($Hx@85~Vdgb>wbR=KAxQj-k^-WCtFA2Lg3=UGi zdGkj5aIDtNz{m*O$jC_g3i(K#N20}WnI+wyKYwUF3cmjMah^`V3KJJcEphpL0MSL? zbJW~6%XjbIUEALFhm9yQXtvq-{V-#{zxCj7wLZ;yyiR6N?DSx;zNxqOf?Xv&YGP># zRuYw}h)+jH_k678VlL&u%4juSu*8{Y>9bd_UOn2IjtsYota70-ayeWsKTkn{=@L04 zf{lqRLDaUMT@Oh!u^(i}*dmYt11TyFjON1BwL`S4{H zmSW3c{@=5+hK;^B@uFTLy9T0eJI`roX)j;DPHftll;g~)tdoz8OVkj}B1J||A9lFA z%5w82xoOwiR(Oxpv@~qg-pS!=BaOJDBcFV-pnqZgN!8d6CNOY%I#M)1maX~EuTPWH z)4lULMSZRIrzal9#>V>aY37GU1NoXz0}t%%Zd#4i5ag(Y>~GF(E`Dm;;Z0e7{?${d zJh`;)XyXyGW+T*SG`>=k%h!$$qvGOX_p7F1yicvHI=OXgz6i(3WDud;j`nzs!gygt zoaVckGhS%x==}1*#&Z!JED0NOd}?ZHzid~T6fAMsX|9tY_U+rwu<-C-$wJNvC6=X` zvTvH8oGRu>NJyT;B9ClNO&Q{Pw;SJ#jg4(X71h+-D-dR53&7IH!NH+5`mo)I$5?dV z50_V2S=ni!hqZKl`PZkw?{9^laMW!t4RXoda+p^v^E&lx)95`|*_i1dLUnxoYVL4M z$|z!t`k5vbSuyCjKSPb{eGF?ydl*(6uv?tDtm2W9{RA(?)7i#GKT*J1jZWOi^LSf* zXQ{BB-$EBH{rSg2VXBDh7CuVf%8CRk5&keRFhG}JW?{kR=jXrUy2Y+ms7p*uO??&z zXL2sZ%QMF@;msS{Q-PZ|&!AM))X;3N8h`%O$Qd0Nh;_~{9dli}Zv6DA;nw_*wT+F( zTDwqa6Tg3-y>Q_IoInf)BgXcMLym4-ZpqUBJool2~cHP_G$3h()9od{5y|}{4+St)??$V`8+1c4H3qMsfH8ds`db4DX zqu#z9OV^+z#G&HW#@Ex+OV7-l>bOz=d$y~iLtIP@#cw%;NlKz;ry%?@RCr*z>mr-$|wM?brlzq%oEOoBS& z^G*}FZeqA@SX*1DC1^xUw{Bg4#-(b$I$kfjGE&+5hZHT+QB+dWQexIiMneT03b>rVoF zeb1z4Wf>hGY}Xj!cz;h65a*1!4Cf2lqeihI4zm5IiK&&bTA{7&?PzGnI@M17p)B|A z(c9YEx@`O=5IOvF>x=Qty~9I+%GI-HutZLe>?I^5^hc{4rRC%vJa~WuzZ^|+fhtFbQVx-cZ=jP2RNo#(}6cY(a$)>TfOJieWJhyH&3$51pH8hCP z(9q~NVF>1bq~X=n*8ccps(@_C=SarD;NXX!rhZ%z6r`P*nJI#0C@i$D#S&gL3=a=) zHBIpdxNudz;pa~p_^Ty>&w|H(Ru*cGVqjokZ>v|~JQ*1(S{f6>r9QA^kJ6}d;f3DV zKx`-IwsXz-pp3%R{U?swmRFfE&o1lB&InM3f9dM_T{KNMiLy=nNj9W7b9{d-F|7y z?ASg#cc;7h9i^(EyE&jTg5Kzbb=9Su!QgXy+#nO$4UE~}9WA1LPL zZ{LUl0s?4m8sk&l(ET-UP{9ph%z%X>xWJL`eYgu64C_I?ELxjsiiK^!MSy+ zFtD;1e}6u~(MtO{rf6w>OUrOB^@54@>Cbmy0Y*kficC6U`NK3msphFM-?>9WKtM1= z;t#lho>hes&Z>>G^XGV8qY5E1tb`8#94@S^oZA{Y&Z}dsRgO!@D1}kqI5LvN<(C=4 z8!$1U4?V=Qy)#9=AW{wz|%ZLrp<(78@H| zHbsQN50|(}iqRw8Vd()tq3*r02laRRp9+RlQ5xmu_~glwlIYRxRn&3`Tr zm%m9)W)QObjc*iIj7NHjM_5?cX?sysO;fX-oSaC1ge)^=Trbe~7wPh?KA~JF>As6TFojXNuh21_v zzf{xG`dVf=+y=;@qpM4u?vb1vv5?ovy+jz9xA^!>rawoT!epF_9sZ?QdJ$cPE0g`_ z0UGDsR=kiicV0n(mBZVrnWnxN?`dV)=aWtTM5uE_M8*nl?@cl|i_i4d?a$I>EN5qE zd4?%y@`(_r>Tui<0U#KklER4HfE2k~T?7W8qz-oS#&OD!MK-_@m?an$&IgK$WP=3- z+VNH7HtsTh{{H^RmPyOYBRzJ^^UzYe)>U=kwVgOEX9~ad*gc*$oAs$y*WSVFqHX2* z32g3<8v9w}I&3GKa1ab)SWE*j1fP^t3f6pen;b3eCQhL0ugH$kxF!i*Rz5|9*jul% zs75}?TwV``}LI3zoN-lsoLorRSZ zM^#nz3k(Ns?WCdQ-^yxo%KO6JUL1E&K|w)c(2eEa-U|k_a_*!QHnuS}jkwd;L8UYESRJRG;Mv~&yFN||9R;q2n#R~n=I+}sdYab6)I zp{K^iE%fyCKjC;+zJOtm)a-@O)^9(5##dHVeYCDWE^D1qkdZM2d?dIuS}o8!IB05E z9REFmFO-#y&93(jR2u+7NwYebV*I9^^aIt-)&p4zjL5F3DJnLUin{MbJ-k9b0BD;Z zpkx^URM$bp!4FS9kBpAK2@WQ(cW^Li&RUDHOu$e`T3ykZpCkj0t&;a zB^D}m;ZX%X^85ddo;Z{;pcX1%9}r%FDWP+~$UvVfLCItTuaG|X?q6S41;_-2B+%l7 zgr>Z&sGx6cRZ!B~-(AZ^_R1pu%|j`q&$2nqPAm>Uxm^OCk%F z`0xqZtCQa@hn~2&_{!5i7zc-{DzwXsU?r6;iopVtsq%5csKmo`A7erkQGdVPJuh9q zMf1BfMr8OXyug#10ao&0pk6&VYjw)x%*p+4ZnbNaa?+}*_GcHwZYG%iEW!#3)*SsB zeI6}HPWxJ->Yk{mRLkeWK#7|)HwZWI`{WC=vi#Pk@yZ`Q$3#W=MJN*FOt%EnX_T*= zH8-a)k5qGXI7=fka)!KJ-^GQfEuPnqhNhcF6kT-_mM%N0{SwQSD};lEq8Kz*4ZFk^ z9s>ij(+W{TINd^pD<9>>i~c;f`(p7-HR_@_MB%-@n!U^h#dF2;Zt0Um6Vh}G095< zmlH;BmZ~z5OxCjx>`($A82Xx?=h<>=Q*^3+cW-ZF2xZ~asI#7>!`pA)F1LKnvWa~8 zl5lIq(zn=Xxk9-mHnw)ih6|tB(g)fOEjtAf9;t3)>~&K`o$H^S$FB#5h7uRPn6U$N z@mOe5j$sL=8y7w0wI>St)yb*>zsV*`b0+#rwtw1HObI`%;xnZOt@a~TF+N=C zx=EK#W~eX1Vg`^3%*m5hSB0b&DzF3*n5`nK6+uB6Gd)y#d*#65>C^LJVOx_^hQy?i z)LB8vN%^UHkB}Ey|9#=iOw47Dh4WL>$~Fr<9>0ITZfI#irAhVT8={Bk;4>YV9Hq!U zw+f3v$sTO+`X?q{hYgCq^Wzc~m2fEo8?z2MaBactDwd!^?T7atKNif*HGhqJC!A3f zU)YV-LP!N&bryLa@~*e4)13?)RwFJg;Y_g|ltrJGLV1mzSFmU(D~nqO%1CEP5X3~u zFD~?Qj?^XR-1gOwlJYiaes-3Z`2(`_IuZs3cge|nDwYZ#n-%xq8^Q`nh81}$N@FMC zn~@-&p;U^Uq&pILhw{aX43`;7qdP)R?6ZQT!fCUYc?cGG;D*tt>=4r}J27!OL)g zQE_UDYiEOlNs(IZi1YH3-Juz+T4?_DMw0ARfgjvtdTT$!gu}Ku=Ot0k5Zzi?9;+k< zbv&mpQJzC2ucD|jwlSQq+HIDH_$&j&@J%Ngd}xH6^2?g%$p9QM#mMl)yN&71MKx*O0EeCCSbk86CP?c zY74tKbn{=tP4l;ZRWM!qv;-Z2fO-6V~8gT~tfX%8DCMIxwH% z=gC%9R(D+1^bB<^`iNo{w*df9-~nPzQE@Re65cE11Xkm9-%Dra z=BB?3jAP!sxp=U%9O{3L8als**)KZ&=M62v7YxkJLqNkZ{1U~ieF*G_nG7F@8VRbx z^H{LTc{L&-Apv(z)aefmPzd-L69pj%G=9KyxQ^8ZL6KRl-Ms`K1-L3HDQOK9gAJ>> zUcFpi%i%I&Cnu+o+qqr#c6NyH0@%W!Ibia4`zx74`B6c-;lhLi7-LTKj2>I(5rKn> z3Rgiv;Vd2=Hj0yrYdzBI2>X+1S3qImje$bFNTBdmbpUWDfit#zjp14!vM4k-Iohvy zvB@^*x!A{X_Uu{x#l9SkI`_Mem6a>YUcMwpB%YI#6JT_oVd$>^ZoiOW!g$Yxj7u%w zJ2H~=dY!yU&;Jb;RBHY*APn&>BiTJ*ek3GuoL|uVNGexE}~srI|{Kz(C-*$1a1fukY)f zG|*8}PPVREC5KX7ZvvE4aI{q0r055Q*nw=qwpT$N}wIa_J?=6;9 z7w^WJ>*Z?{qo;Rj!k|9>r(|>n_5V_g1gwD_0pbl98PUF`QH0u@>%uc4;^5%GCnj#4 zYz|aXQNaLgpN2j$;{NIBceI%q2Lj_ZXXOBoWrzw+v@(ueO>y^yWprO}rIvp5NF3lb ziiwR47w7?6R+ebjeX1q6yT9Mk<^(|F1W0c13H|;3cN`Zf>P`+UGU8E8z;hYBj(Cl4 zUVPg1mY9)|k%EF^&HQhLnBDvzLe+uV->Psw@NpnY)LH9;9xD^cj46xaHinkGVQF6M*@L={_Eodjsp9+&Pi*pL%O=t6SsV=Qo>)q zegTifLyc59o&%_h$e6n$Q1OC-g2bJxGc*3k_3-mk@$&NS&8J1Kjh~)Siyp1{^$1#A z=tpFjg@xc!i^2El=@@mPl#|Ed4;dUi?!4GA{yj6p!Mb(Jw6meL702UnXGS+PGV=3B zlMWlW0U|nnqSVw>5SaHiI&Kt$1f^Z=L=0Mi%#!7QmBjPWs+hr@+v=@nPVUQV)b@0CDpZ>sp+N){C#8NG?J@5G&NJh1nY5JoW-_ zuuxA5ey9AomzNh2qX<1Zl`Jzeljfca5B$D=NC+Wx;3?>-zaxUIN2_o^vHa(L;dKae z-dgC5=_J8w0A*eZ{BH-4F&&Cb3AOJ^H&7E+4Q`10@Ee*F9`#}?G$yQ2( z*?R_P8Jza{#l@zfp@hWpo!ePJNKa3Wu~49!$}A<{HX}DQH0;h(zY)eDLiSRZ(5d^^e>b*KSNZyuTA?F1rZw77ZO8*LLxT z57&3S>XuYmvygo}%y59wy**@SZ(q4<1DjVdNKB+l!CRP{>kFC{ztu?4+M3Pl*x06l z0V?a7b=>EcmeDCGq@e0;ErCXtIJB#G|2~%M_9BkhzC9KyDLL78Y2Z4X0A$k&3JUg) zHoKHGHG`pJ7`BE`%Jk-SdhKtRNIZCOpEG6(L>iR$c@{}_IpxDjrQH{!pB{ym{@t9u zh4Ff?G!J|fLiIr42?JSX@?d+Z`^S$Qb+Pv=CqD)U1ATn3h=_?}bn^f>?%Z=PuV&8m zXf$<8$P;H%>9_V(Q&S@&^oIsAcOsqewX2KN)6-LtodRSbU+_`v?Cf}KCdB&s`k1)5 zLLc#zN}0fE`#npI|9a`3e8O!4XhyAEg*CqIudb%))qB$L=%bug$HH}MT@B{DQ)PMw zlSOabAO&q~587F{=<$LA0J%mumNtKW@@BkHseh9Js^n0K+21`_{yayCrHFV`?5mE?ffo0(=EW^pIl0NHDPMKn7dW82wbh>t;q1u}Z#gUvz%^$s{-TYi5)xLWnFW`(-7ZD@Z-UHQbxr|q!2p#cTUM{G^SUR(fqO~T2E z-`w2%og(|%(Y`$>=3B53X_DbhaCyjJKRR+hnr1xp&dbXiy77`lDgsI#hg-X%A$iQv z$!WG=Gf!Dn6{n2`9F)|otU$Njl}Uht+nJyQt*&i$iKe}Of9A)JAMEVx4In!6l?jyB z_YuoH9t7j~sUL`MKWnPsF}*eT0u9@aU%TCgP-7D4p2SsA$tJ8YYFpM{0R zz}lMB+S+!H3rle4RIGQkD5cT$m;)^>IzyWR>HTMTm3i+a+tv9Y1N=jWfr$H(jU zWh>b@IR!uq0DG&SyBEp<q+@JAX7Ytj89I^fK#dFEB8KZ*18892#l@!|@!|HAVBm68XQUpd|JE z)ZMz{9sb$xhiB3xEz!EVZ_30M$kbGQ@w+D-zS9PH> zDP3J%Y2)VR=kY?-1h}Q+&MSbdF%_)%h@wx+@{jfE{tkw->XNul|V$h z0H&Er-G^XcFc|2XMz9Cp%?AS(7tL$d+vvdN@NZLUW@zlNip+7(2X{mvn(+Gy8!#($~@vq&CBykp#7c|1139-(caFmHO%Vni62f5T zxkQDo4(c!JpiuOZNEV=8K~km95m>&Mf&z7a|BZs>$2VDZ+WT^p4Gax^!P6+&*H0hl zhNiIYmK7=^FYlS-^jOa%gPZVNb>sJCBV!XvaRmiD_|2E5mNzZGWjxyL&Wbd9g85}d zK}~1&HmEOcp;LExxl`{Hh#-){Q1kE0sX&~)xzsOBl#lD)f8a0TO1vv`0$Xu>k(41e;g9P=7;Rh6S(mz*yywkS4k zm)Kg|o|;pxsuHA~WlLZ1JX{udK2$;gw8&+es^%e{H29QinkP}r$3+Hy zH#|@FS=YxW?&g8 zm5|-bsv^hQw%9W`_!;PMk;kDE!h2S0Hc4oVKt*l_^Ss!+pA+ zAbB?6G+GS>e62R)v^O;{XjC1+(j7TfXCkvvy?r|-NtyEB_$$@Tv6m?bd7g&RBnli( zcP2-IUxeXMmV`RT6YI5Fm#m_4bY?dUGuT}jU0YwjZ)3xA?fP{%FDQF^d!Ua-%R{9j z?!+<1y($S-v)|rm$Iwr-9*2VaqNJ-^Q1Y$qYfE(Ik^@0$5<21LQ zk%=6wi9_nZPN2dHSUxTMa|+5TO8Uyk(&E>bW}JUlL09(@;0|J#*)A?F@6yxHg0Cs9 zpzs;2&x-2$>?*HQk()PfE{;xS^XATs?!B(;l~8_IRTV(W7y(A-eYRJVz#gswt_LKH zA1vW}qizqKL$CG-5L9bl4vX!C7}LtwsBf*?I3{jTaelr#h1@J5KmQse8m16L%vWpv zkY6NY;r0&|$%xx>S%(yg>V~q(Lv*9ml$7_G$e4hD&Cbpu$p?@i;Q9lVv-To?k9;yE zg%h^5wZ-G~M+4CG)b^lWp@5FKNqb++t7&CiOISD;;3Sh16W-sx$wJye{BrcO8UrWG zsa!X%0;m=HK|j^G!Y5IeAA$eH9i{uwQt9kEJ-e0 z!2T9L>DwGg-Q4uvG_N4kL3Z(LWKnQk=#9JCc~%#1*8SJ*Jj(vg8Y6>s zv_8u(An+OZiUPRe?;%}-;6Ko(Yyqz7cI4FtaK?44uT6?0)Ldr$s(ccVfD5v+vP@+7 z0OOltbUzgrPkwE$tf*jOXU7*kJ-UUOx%sU0p}dq79zdBdU%sGFU_JgDXK8ww!D4mu zi8D`2&5O+jnrZXO0oC%F#LSz{?q-}12gxe6BOqp@50)2r&+OdXk}fWH(Bk4R3ge>6 z)ZDDcnwronrGQdd`1#8kZ}>TOM455QeU8h#X_s!so_f*+L_{B;XQLn9pv8q?3B)jh zUeK@GYZ3IHo|JRC>XX>#y_s@f+S`4ge-!9cS8#GQgeDrLhw16Su<6e*kWV^L! zm4DN@-hb0sQc@C9PQQmB&#-j;Q|e25VE4oYr?64b*I2JzyH@0|@HnW|@XFPz(~JFi zu*<hE5LmD@|isKLP;1P zxw*MfadCka6?aO9+q1qUBWW=PK@4a(Kv_A7tFkk4uIT7MlYs?jfnAGENC+Vn*%Px& zH9!v~0AvLl2gq=P*U2U$awgbbrB+qZMly=dc1rUFD3}R?Q3l%OCD2chmU?o0xO81g z`QqK4+sWLi8%k~-z0g{fv*cS>>rW#vn6oQ>!$9&8+7Ib9eG7|o5Z9o;V}lALVR+10 zt5%&<6*;72S854LfsLc1KWLQi-@ivaC6O5bnN7n_xaz4eJyucCeDJcn|jA$+@UA)(`UYdx3?8I|;AwH)YDzcD~nfS4$0FV@ilWjB^B&^}G;vQv+^sY4U3f#TC{J zmb-V)*;Srlk<^$tJ?X+VYWt}_CE*sIKx+l34T zL;8weB|!So5(ZA@>k(iF{LV0bO2sT9f&;G#3U%}T_)#YQ&6}qFek#Ofa~*0PNg^zI z)ftI62M=%F3XOXGIs&eOnQiuxo&6)gblyMGK1@umPvJZKmOhtpkc@G_L6REglvJ@S z%*^3J;fXP-XIWT0K*_czaA?6lhwuMd?BO8dQ@#KFj}sG&xJ_-x;5Ipc!^i)P{vU@g zATN*R;9z-H>I|mj9K7ek6xe_j&a06=5@2vB>0DQ*mA-A@D=cxDHuzDHAo2>sy|5Mr zQBN}0o!bLol{l~?-#oJz(Nb&2ij$E+Ip6!4!pf@bROk$YuMf7~52tvH!!zVHn2n9E z$gS<|QD|2=Fy6h(%EQm^{pvz^3u}5Q>~;DDc23UEr4~0Nr`TA9(K0gJM8w+_)#t-6 zvIKx(1%we<(PS!EcfofdA#)XuTz+)Hhf9S>x{`?TC0J;H7d80-H;fOU_wHoA)N;1OH;`7mDk zyDx*}66M9Y)y4kWp!eO~&HV^e9j~lxFD)VY zQ8JPWCww8J!KK9l!R})yjP{@-rd=%KYTitDJWauFp zSoy_lVb0?TzuxQ|rFT_YV-pTu2faMt^aX#8OnL8YeIbla0H3^_DU4B+MosNDd0bRM z5R~=lt2p(57_LZW?iB%c3RL%6N`T_tl;Av_b%ogFi)Y;qPvE6w=s`sSEbm*UFN^I= zZod^REN~7{k5OcA=}yHia#_dlheVL|oQIv!(Xz7Q81vX=2fwp{20LXF(rDT_SKP`9=k2|mw%#m0_8X_uy1%ix2XA z_f0bBiFFi+NlwUCRy-0JnqgAw8lJ;vUY1KEaD+6dT&|tUH%_V?2r`Ijm+E0QH#hg*VqT$^p;9`7 zS*NF*tZd8s2ccS5nIPo#c^?0t_q&n&|C7O%W~GA#q`d}0hycm~+Su6HHARY^e5p=W z@XBc`f!y!UU%za7vqic9Hi1iqq@s!G0)W|YE(J%3(rzKAC{^9X<8V|)l`D+3K3 z=68jJK0yGCqjq+6wF|O+ny#*bT-UFg&@g7^wNRq{sZdAx6aN8hP!qWW^ey(h-@^76QZpfja) zwKKxBZ2UVhc_8DTu1cP(!U+*Gkkxh*w7E?$M+ZShFOYZV@_mFHTioF0eu|2hWitYa z4haM$mK6k>ub}fduu4Mg7snIqU|+RVKq-&EEcJ+L+rc&th&^FTpSu_9Gli|HX?JBNkw=XrpI7$vYC1 z7JI(Kd}TyNL7ZA;z`^_v7L+$gWdBGBU~ed@sUg_WN)QCZl~cgDC~vS0e*XM90Tv%3 z+iPoUBk@1P??8d)4l>L+3kwUYv7z3i$2qUvzQfgWWIlYw#taT0B(%YyzXlL#4Y0(! zni_h@BF5h~d)c#G_#u6g}J#v@F`h1I0$rg zbs^{~2C^kC34IXIQ-HpwrokSUiK1(8{Qv=8u7+d*xMezqJf*iH~Bx)B2^;c?4Q zQ_~qJ_XnPybv*~>>zY}Mo-@Ow5M`q*l}0cBlN)aKDAM|WNX==vxiZrm|28%Z`A^^^ z_wL<804JEtVw^FC`x`Te1`1{ioz5)ibV{&)5FZN=qD5R6$cE{z&a0>{SAls!;^E-| z^qgOVa2iUaVLa;;rJtQ810>o<5~-GS(6=Ud@W5s!m4bFVii=Cbe^U^E%PJwfCF zlpL`fo!)A#JZ};Q{bGOP{3U+oMhk7e>mq9eW@;$r#_oue*zpsfCm!R0COAR{>1}` z8o`mS9H+j3mX>)-n)oHBd`9 z)jT)oah&uOG(;@l-h0vH@ysmunzA|&_g%VPt(=@3P!nfzv+qEH1hxX+9I=iNB@Kjb zXm{8^hmpiJ>`uOe!(iVcKRi&;tD%F7x^&N_`&lVNzj7UHE0Re8`Py~oPcR}{Lu_*U zKuleodSzvW=GIdpB>2AKD5q-Jr@H$?g&?Z{G2tN7Ui9%}6HI1!{vks1(^I}X*Nuo8 z8yoQn37a~Tg%Gm@7;9swZJiuQV8frbCEBL=M4c}5k>l@AHz9$BPzLY`Q3cMRpvf+ZJbcMh` zNBlKF8x@t62Jmf{wFxX(dp~ICQy|31WOVMetj)yfO}$bOx&QDX0n`}w!~@?`cwmV6 zRXY!mu)V##ckkYLCtig!1==J4DQ+a30guE892}0rU(+ztkf1l5s3-96YH_abehL0n+S0=R?8fIJa`Vgh>=LIF^#JdiIzq|E~2f1mu=&0qmv z5Y{>X1R`iSijN=rW@od5U}XgMJw$`dY!Z=x3uw=-0!h!p%ozn{YJbqk9cC9mD8vXN z*x)+t&551{1IdO8L0^uZ2)$7^LC(jV9{RZUiKl(;_nI&c<;V5o6K^5n;pv zgf5e%fe%JueDzhtDT}wlRfm;E3qX>?_0Gu5KeGIZp(?*bxK1KU=w~btp}9x3H-l-;aKn>?K@P; zBlp18(ua9Ngc>d~z+T;_Ni)BNao}H`!gmBiiVXiOVzw6O)kh$1C=$=m(abD>F#XZt z_^Bks0_2nKVCm?Lx(fU*bQ2PTSgXU*0C8Jen@pjqnws5`nY<&NnEm#fw%q0HuV21+ zLyvh}N~2mjs5oPH_mYS^K0LJn@^OKV&VSqr!MStIQ2fzJNkm*+Ts6l#!xgUExoy>! z{VRbW*{+nn*qrs@4M6T9vCfK7V6OHD8EhCcM98VRwHuoJ&oNVlDrswnfm;q1&xY;| z=JZW7YJyV!i?8G2Sa^BQ!!$)TRDYD!f#3szf{wnnU z{PTzo-|G1Ez_O9ZVJk?b3+H6Su}2d=MuIgN2ptTX+L=dj-2RY8hsVYWbZbMPdmx5j zO_?8A&)w3z`ww#yo@lbc;}0O}alqJVJIuOzodNq@kNYwLG%%@aXfqzp2VLn|3U9}H&($<;#+4f*+y zg+k)e{Cq=yKP4b*NCljESE&_|xhV2I2g5=^$O{=7ebjm=xqAnX5r zr1n3au%%^~8Sbt%BVfL6fh0Ofe8_sxi=!M5!9y4-wHOKsjN&%=&*Uf*ro`LzFHK~Y tlL8j~Zyw@#ch1{f>O6eljfGR}S)a2vn|-Se;dx`!!w2#b1!#TW{{z-IvLgTh literal 5851 zcmc&&gM9NA}HNpENczwdf0RPKdlp4X?Z3Im5 zDRlGq??+u`6a-O)D?fdrjf~$(@Pbo}UvvzRGMBJa$zTwbyiI>iK$fMhZ{$CYAENV0 z-tk~jvpA$vhcZGle+kppajb%R_2E{XL295p&uB=>{g9>iI#@Xl_$-!qxc5nImDbKW zX2cV$Xj{HN>0d956|nC2nirUlpR89VrIf#gC40-Q>@I|LX!?Wdp7t#}GTA$SPoBh7 z4bRP)=;>wVt1~|!VvQ2@ze4(+@E$Gw8ZT@^9E5+sq75#q{CiNq+@d*E<3(O&Ed_-d zslZ@&R2EL|zvYnOmd(N#1t)|NRFaaCTAG^gGYYQ<2L}V0m0Vqqpo*^L1OKZ7#nr<_ zepb15W;=~pcoYLB5?S_{ilj-#ZfJJ)kLk??b-nlH>CWJw`l?;43z6rhfWN_dURhZ=zqk++5t*rR z&#kW3XC_7a{^l1KH=KS&M9d!4-rkNzOB}1d6p5diF>;{wc|I~VRfA~5N2`*MkWk7? zN=W#hFXH5V@3uTNHmUQzLq=w9X=#Z-@CRI9tq&x8s|9L@L? zxR!BMHJOQsiu&FB zIfI~LcpeWFq11{fR!fu!-k~Qa=XYJ}O-y8@lm{0gfn-Qq+uN=7=IUIk8TN!(S=*x$52dO{DTG5Kh;Fj3gJ9~RW+Yo+N2OZqp+$^>nB;_?W z!5Z20kK8}Bx3yVCJ#<4D&phdz|YM~rpnLD+nuQ% znVh6$Vj4gc7hx_eFPB<$MS^H|cdK}MdK#fPFl96z3k%0InSF_l{&P8hV^unNa&pqz zw7I$IwZ9NlSNA7dD|6q!Ba}8OCg$vLwWqc9DQnc^=xCa9$;8M)bF*x;qIr8L?a^8v zMex(|^72xvzVE`$j9%aI)| z)^5R%LZNbVb3cWKhM-XMG%W95Q#D*)*gO1gLs3IevN~K}9}lu|aA@u3HLVY|)i8!8 zwhD}E85kI72-~AM^|ViYHU^XLaOy7nX>V;^h>MSpkBo{ER6d<5w}%3!rVLh3b8~Va zXdqFtMVCq1pAb6#b2dMg9-K3j;!=ihpzRc5VPRxsw6wgec10?l-%v_W(5*xh zEv=Cx$Ias!LHAm?q2aHM4Uk6)X<-5?E(qd+7csN3t?$m(mRb*-o}BD}f|0`)`TF&1 zLP7$PYHV!GnNWr&1_vBiSlZg!4B{Syxnah2e%HU(LHb>)uNs3e0bC$?Ck|R_i^|GI zS@hZ1*y!o$qX$?!!kFeqMzjnKQTd2c@u8y>!dF>cssDViuz(=k*ESQMLvSyPNWwbA z0azIt8mg+Qy16|zaWXg8Ffz*X(q*XyDfK&F{9r#`z|G6Mx3yK{xi`1ehN`Wtb#-<1 z+?~5RC#y3#8&*_m%JWvApZLBpdg z$go6x&-XzdJ+~(`G&F|B#&iq}=;-O=zJ6_Ab@B7_6Ly+`o0^*H=~0uBE$;0(o0}&u zsz)iph`TzEqv~xU2G)gzgf>zx8QQ1ATyuEF0HM# zFTMnK`y`R|Z#MlNY^Ch5;i{Z7nrUfi>FZDS#tK}{^I*vmpMD9nQBT{bBe1~2D9264 zS4WZNK>u^XcU88rzWzb-V0>(>yrSYW3f02+$PVRmwu^oHb_qOBBUPd9a<}%^&-|7| z2|4ec{gL|+~N~x%p!Fi3pMq#*Nt6+Vb}DQjHTL@;SN%;o{=T zkUmvZ?D+YU%11dYI^c2#>`|ehpdckBMZzf2hz|lTQHRD6q)kQ@`6;oyPHX_^0dSX`WH~zc*`LKWg~B7WaXK$-vMs;9@iL8sV%E6Z(hIdPY}mZ@>A~? z5+Glui0ixVkiI_nRoJk$zAg~k3)sP>dS*cClCW}PF&tU*@+HZg;2u~44hg!;;Wot1 z$vItOiAqmjZU01HZM56+frJ1bzqz?tA&fEqKt}VOd7eC_e3Ep4|5`6CH8u5*Ih^!i ztBl|S+u<~2U#W(Qiqj8F{#m)XFjZ9@TuZ1K|w(%R8O_*dQtbz&JMsWBcAcj&d!#W2Lb}6 z&IdDfKAuA<@);Q!V6_pC=kLSSO6U1@q3Wuth52Dwjk5ZB|JCkj@I7E1`=5DD^*V1- zY;<&@!@|NqA*CrtMMg$Ki{7s~KHmjs3o$|KMBlPlzCG#AkS7acGgKhdvF5idH*wAG;wNqXfvgM+(1 zqAsOjFbYQ;{&*W_XKVi0*2solRI0)!&1*W*xAEV<|J>T5)+^Mt6%RMR9o3~hm{QPe zb-vD1x4NDba0@c3y9gb)QJO9$bY3_?G{|TiZ% zu#VZIyRD;Abuu;Iw1V}b2WwbfailWn%Ubk)zX>DO3pzB z+YbV+hN2Sws6X*CHZCkQ_DRVPe=n|%@>}VSo@XI%W4fI&WJ60UZxFoB4cQfkSy)hR zZVgl7`*>T3iiU}c<1BRKDl&uLgDSrqPA89!c@MTfTrEi^+5EeJcV$K5tIC+9%F`m@ zN8xiA)@Xjm0v-zk#q2k+iczt=`b9VcB$GIOF zTwRTqK->Tu6<y#b{;kB+|7Ae_<3#@dP99%yt0$`?0cA81 zTf(*A@be4z>Wb7K?8_Zt0YI_O88vH27a9?}A1Va5x-*BP4`N>s^KE z#VPf&*lS6wY9OJZ$gd+NTkS{rbfDh z<6|yx0bbrD@R^RzSXUI=EeLd>xYuEt40BOY(K%qql$4Z`k`kN8bjAKaxH&oP0zp8A zWnMZ76u4oj713*EWNBMln~shS12NnE`v`zlEUPS{t@Rw<|3wCZb5Ds8B z;DuIJEQ;Z1=Xoh~2LUyY?_n34^v%`L&wNAq`x;tW6wr^Xtj^(K@)0Ku4YII~)FB)E z6YGJ*gz)h2n3%r^DCu)*1RUSiST3>@$V4Vm-NfB?zM%Y%#w3JT`x=GO$=Nc}4ueSJhEc!f9Chhk#H#KeF!gq`PF38b&~ zLDJ`t5bk)^=6vRs?B0Ry;W>(pylI|}=goIM(3vcrBxS&97j=rugJY3wy z7X*ZaZf7$Rqgmw;?UY{9(;B$8`f5wUl6~Vc9c?*Hnvv#lkXn((vRUVu5 zdE(62nEU4NKig^BYik}r{Vd^qSMu}}4oLyB84Mc0=moS-Yd+|tFh)t>Emc%i@1WY| z=H|A#1qU>kN%KtV49xW{yWt7)D5?Z0znZc#H(;Ti=}zip$VCsBb1e1|^h(A!*w}t2 zV|pNxpojrlJbLtqO)Y++-p|M0J~uyq2ej)6Fj6}`%Lg2soB)X8;^M#v#dBxM(##Bk zfPNa62Atk-^JfqDHTrDM2XvfvbuEA@@bm!O9335RL7;^J6zF8igK-zY&^n*9dhe5N zfKcP(m1Sj=^EGBoufKeu-1Zl}ckh<;d^Xpf&S$y|LTLZ=^m?~;4=KUuq0di~g)&-X z=GYTK7T-JfW5TnwwdK^!qrpoo2BS1Ed;s=HvE}fIEJrktehCXdzvirD71gGr1IV+G zfPj|B?<_2-Ul|PSA)rQvH{F1zbnHm!{LwB1KN|{{T3%nbc5p!ZU7j{o*>AGFp`%|d z8RG#|P{+YU2&}4zh2P27C!dJ^!_5n#-$U7+C*oqg24>vT!=q%r=Pz$ z=qSYi41OrUkj%-+A52Gpp9FPbZN1JEaHTQ*s;<1z>wuS)$Cp-q=nW1@f1I#$%X=cY zAn}Km#g|uq{uJwA>wN<=85L)sk9$0}CxRs1sZnh`F}wr){X#-Qy4JGvU5#EEf}lQ$ zh=`bc_iriRP2mh}oz5V3Un?Uc7)`O0qs|}%&M{9ySlILDO`~UPpZ3a}kb9Ou<|p_M zDxEiVPT*+QUGI$rbEV3F8-K*znP=(!(+YF%#9XI7V%up5>gwvQt*up8SF^ak6u7hN z*rFReCnT2eS)AZbe=|Po;~4^BM38~D;sJ78R5Z3K=3o2IDdx7dv@8!M%Vnx1;FFN-ZErso5b!yh_0*Zl3iNh1 z1h9cXEDfi_=DpSvz^gNAT z|DN3bM=vE)pYZ^QqA%lPcIHMD!&}DV>IRoU?+=Y5nIF(uTU)E<*dEVeW6)y!-+Ard djhk;UEuVcH_z;VQ0MlwnSzhgFfvnl<{{pk-RZ;)| diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Group__inherit__graph.map b/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Group__inherit__graph.map index 1bb4a01f..91a60ce9 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Group__inherit__graph.map +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Group__inherit__graph.map @@ -1,4 +1,6 @@ - - + + + + diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Group__inherit__graph.md5 b/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Group__inherit__graph.md5 index 60f2ccdc..def8ca5d 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Group__inherit__graph.md5 +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Group__inherit__graph.md5 @@ -1 +1 @@ -0c2065b2a75eceef47b240edea19561d \ No newline at end of file +9321d1e76dfdeba05f69f41a3f2d63c3 \ No newline at end of file diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Group__inherit__graph.png b/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Group__inherit__graph.png index aa436a5f7b7fb0cb1d749e6fe9c368a3cf17776a..73c704c05dd86ef9002767457e8b72cd799a7a0c 100644 GIT binary patch literal 15517 zcmdUWgtEr9?_XKm-XzPyq!A7YK-?G}0jg(kUH_Zk3P_kq!x^yA@GDQt6PE z?!IHXzjMw#=Y01MxX&6m*eBY z|MPeXufboqhL5BqP^ZX$?`pGNp-@byhZ6TyT#}YYUuY*;H#Nb>>R$T1LJ#T%A(U8^|c$p@z)^BAqcH^mwmWhzPzeRZV~5r*fBeJfrM4o=n=voVkK`w#m+`fGduzOLJv2DN1NA>FOL6Pa6$BGlp#AF=mLwn+%P= zK*XL(j>c!c?oG}K-|so|uP?>oRxu_fCQ&jOA1IS}^0|$D6NXV$6hy(9&Gf9vCf)y|u{?=kb`62S%%%OBv2ErxSPcslbP% z<0zt8F=S{h6ze}q-d>48+4Fro~tc7Niyxktr!Dv0uO5`sS8t3Bx63OvxKHxoj#bs-WQD$+sQG zH}TJ&dHwpeerM9%3dbd?la07~F($Hx@85~Vdgb>wbR=KAxQj-k^-WCtFA2Lg3=UGi zdGkj5aIDtNz{m*O$jC_g3i(K#N20}WnI+wyKYwUF3cmjMah^`V3KJJcEphpL0MSL? zbJW~6%XjbIUEALFhm9yQXtvq-{V-#{zxCj7wLZ;yyiR6N?DSx;zNxqOf?Xv&YGP># zRuYw}h)+jH_k678VlL&u%4juSu*8{Y>9bd_UOn2IjtsYota70-ayeWsKTkn{=@L04 zf{lqRLDaUMT@Oh!u^(i}*dmYt11TyFjON1BwL`S4{H zmSW3c{@=5+hK;^B@uFTLy9T0eJI`roX)j;DPHftll;g~)tdoz8OVkj}B1J||A9lFA z%5w82xoOwiR(Oxpv@~qg-pS!=BaOJDBcFV-pnqZgN!8d6CNOY%I#M)1maX~EuTPWH z)4lULMSZRIrzal9#>V>aY37GU1NoXz0}t%%Zd#4i5ag(Y>~GF(E`Dm;;Z0e7{?${d zJh`;)XyXyGW+T*SG`>=k%h!$$qvGOX_p7F1yicvHI=OXgz6i(3WDud;j`nzs!gygt zoaVckGhS%x==}1*#&Z!JED0NOd}?ZHzid~T6fAMsX|9tY_U+rwu<-C-$wJNvC6=X` zvTvH8oGRu>NJyT;B9ClNO&Q{Pw;SJ#jg4(X71h+-D-dR53&7IH!NH+5`mo)I$5?dV z50_V2S=ni!hqZKl`PZkw?{9^laMW!t4RXoda+p^v^E&lx)95`|*_i1dLUnxoYVL4M z$|z!t`k5vbSuyCjKSPb{eGF?ydl*(6uv?tDtm2W9{RA(?)7i#GKT*J1jZWOi^LSf* zXQ{BB-$EBH{rSg2VXBDh7CuVf%8CRk5&keRFhG}JW?{kR=jXrUy2Y+ms7p*uO??&z zXL2sZ%QMF@;msS{Q-PZ|&!AM))X;3N8h`%O$Qd0Nh;_~{9dli}Zv6DA;nw_*wT+F( zTDwqa6Tg3-y>Q_IoInf)BgXcMLym4-ZpqUBJool2~cHP_G$3h()9od{5y|}{4+St)??$V`8+1c4H3qMsfH8ds`db4DX zqu#z9OV^+z#G&HW#@Ex+OV7-l>bOz=d$y~iLtIP@#cw%;NlKz;ry%?@RCr*z>mr-$|wM?brlzq%oEOoBS& z^G*}FZeqA@SX*1DC1^xUw{Bg4#-(b$I$kfjGE&+5hZHT+QB+dWQexIiMneT03b>rVoF zeb1z4Wf>hGY}Xj!cz;h65a*1!4Cf2lqeihI4zm5IiK&&bTA{7&?PzGnI@M17p)B|A z(c9YEx@`O=5IOvF>x=Qty~9I+%GI-HutZLe>?I^5^hc{4rRC%vJa~WuzZ^|+fhtFbQVx-cZ=jP2RNo#(}6cY(a$)>TfOJieWJhyH&3$51pH8hCP z(9q~NVF>1bq~X=n*8ccps(@_C=SarD;NXX!rhZ%z6r`P*nJI#0C@i$D#S&gL3=a=) zHBIpdxNudz;pa~p_^Ty>&w|H(Ru*cGVqjokZ>v|~JQ*1(S{f6>r9QA^kJ6}d;f3DV zKx`-IwsXz-pp3%R{U?swmRFfE&o1lB&InM3f9dM_T{KNMiLy=nNj9W7b9{d-F|7y z?ASg#cc;7h9i^(EyE&jTg5Kzbb=9Su!QgXy+#nO$4UE~}9WA1LPL zZ{LUl0s?4m8sk&l(ET-UP{9ph%z%X>xWJL`eYgu64C_I?ELxjsiiK^!MSy+ zFtD;1e}6u~(MtO{rf6w>OUrOB^@54@>Cbmy0Y*kficC6U`NK3msphFM-?>9WKtM1= z;t#lho>hes&Z>>G^XGV8qY5E1tb`8#94@S^oZA{Y&Z}dsRgO!@D1}kqI5LvN<(C=4 z8!$1U4?V=Qy)#9=AW{wz|%ZLrp<(78@H| zHbsQN50|(}iqRw8Vd()tq3*r02laRRp9+RlQ5xmu_~glwlIYRxRn&3`Tr zm%m9)W)QObjc*iIj7NHjM_5?cX?sysO;fX-oSaC1ge)^=Trbe~7wPh?KA~JF>As6TFojXNuh21_v zzf{xG`dVf=+y=;@qpM4u?vb1vv5?ovy+jz9xA^!>rawoT!epF_9sZ?QdJ$cPE0g`_ z0UGDsR=kiicV0n(mBZVrnWnxN?`dV)=aWtTM5uE_M8*nl?@cl|i_i4d?a$I>EN5qE zd4?%y@`(_r>Tui<0U#KklER4HfE2k~T?7W8qz-oS#&OD!MK-_@m?an$&IgK$WP=3- z+VNH7HtsTh{{H^RmPyOYBRzJ^^UzYe)>U=kwVgOEX9~ad*gc*$oAs$y*WSVFqHX2* z32g3<8v9w}I&3GKa1ab)SWE*j1fP^t3f6pen;b3eCQhL0ugH$kxF!i*Rz5|9*jul% zs75}?TwV``}LI3zoN-lsoLorRSZ zM^#nz3k(Ns?WCdQ-^yxo%KO6JUL1E&K|w)c(2eEa-U|k_a_*!QHnuS}jkwd;L8UYESRJRG;Mv~&yFN||9R;q2n#R~n=I+}sdYab6)I zp{K^iE%fyCKjC;+zJOtm)a-@O)^9(5##dHVeYCDWE^D1qkdZM2d?dIuS}o8!IB05E z9REFmFO-#y&93(jR2u+7NwYebV*I9^^aIt-)&p4zjL5F3DJnLUin{MbJ-k9b0BD;Z zpkx^URM$bp!4FS9kBpAK2@WQ(cW^Li&RUDHOu$e`T3ykZpCkj0t&;a zB^D}m;ZX%X^85ddo;Z{;pcX1%9}r%FDWP+~$UvVfLCItTuaG|X?q6S41;_-2B+%l7 zgr>Z&sGx6cRZ!B~-(AZ^_R1pu%|j`q&$2nqPAm>Uxm^OCk%F z`0xqZtCQa@hn~2&_{!5i7zc-{DzwXsU?r6;iopVtsq%5csKmo`A7erkQGdVPJuh9q zMf1BfMr8OXyug#10ao&0pk6&VYjw)x%*p+4ZnbNaa?+}*_GcHwZYG%iEW!#3)*SsB zeI6}HPWxJ->Yk{mRLkeWK#7|)HwZWI`{WC=vi#Pk@yZ`Q$3#W=MJN*FOt%EnX_T*= zH8-a)k5qGXI7=fka)!KJ-^GQfEuPnqhNhcF6kT-_mM%N0{SwQSD};lEq8Kz*4ZFk^ z9s>ij(+W{TINd^pD<9>>i~c;f`(p7-HR_@_MB%-@n!U^h#dF2;Zt0Um6Vh}G095< zmlH;BmZ~z5OxCjx>`($A82Xx?=h<>=Q*^3+cW-ZF2xZ~asI#7>!`pA)F1LKnvWa~8 zl5lIq(zn=Xxk9-mHnw)ih6|tB(g)fOEjtAf9;t3)>~&K`o$H^S$FB#5h7uRPn6U$N z@mOe5j$sL=8y7w0wI>St)yb*>zsV*`b0+#rwtw1HObI`%;xnZOt@a~TF+N=C zx=EK#W~eX1Vg`^3%*m5hSB0b&DzF3*n5`nK6+uB6Gd)y#d*#65>C^LJVOx_^hQy?i z)LB8vN%^UHkB}Ey|9#=iOw47Dh4WL>$~Fr<9>0ITZfI#irAhVT8={Bk;4>YV9Hq!U zw+f3v$sTO+`X?q{hYgCq^Wzc~m2fEo8?z2MaBactDwd!^?T7atKNif*HGhqJC!A3f zU)YV-LP!N&bryLa@~*e4)13?)RwFJg;Y_g|ltrJGLV1mzSFmU(D~nqO%1CEP5X3~u zFD~?Qj?^XR-1gOwlJYiaes-3Z`2(`_IuZs3cge|nDwYZ#n-%xq8^Q`nh81}$N@FMC zn~@-&p;U^Uq&pILhw{aX43`;7qdP)R?6ZQT!fCUYc?cGG;D*tt>=4r}J27!OL)g zQE_UDYiEOlNs(IZi1YH3-Juz+T4?_DMw0ARfgjvtdTT$!gu}Ku=Ot0k5Zzi?9;+k< zbv&mpQJzC2ucD|jwlSQq+HIDH_$&j&@J%Ngd}xH6^2?g%$p9QM#mMl)yN&71MKx*O0EeCCSbk86CP?c zY74tKbn{=tP4l;ZRWM!qv;-Z2fO-6V~8gT~tfX%8DCMIxwH% z=gC%9R(D+1^bB<^`iNo{w*df9-~nPzQE@Re65cE11Xkm9-%Dra z=BB?3jAP!sxp=U%9O{3L8als**)KZ&=M62v7YxkJLqNkZ{1U~ieF*G_nG7F@8VRbx z^H{LTc{L&-Apv(z)aefmPzd-L69pj%G=9KyxQ^8ZL6KRl-Ms`K1-L3HDQOK9gAJ>> zUcFpi%i%I&Cnu+o+qqr#c6NyH0@%W!Ibia4`zx74`B6c-;lhLi7-LTKj2>I(5rKn> z3Rgiv;Vd2=Hj0yrYdzBI2>X+1S3qImje$bFNTBdmbpUWDfit#zjp14!vM4k-Iohvy zvB@^*x!A{X_Uu{x#l9SkI`_Mem6a>YUcMwpB%YI#6JT_oVd$>^ZoiOW!g$Yxj7u%w zJ2H~=dY!yU&;Jb;RBHY*APn&>BiTJ*ek3GuoL|uVNGexE}~srI|{Kz(C-*$1a1fukY)f zG|*8}PPVREC5KX7ZvvE4aI{q0r055Q*nw=qwpT$N}wIa_J?=6;9 z7w^WJ>*Z?{qo;Rj!k|9>r(|>n_5V_g1gwD_0pbl98PUF`QH0u@>%uc4;^5%GCnj#4 zYz|aXQNaLgpN2j$;{NIBceI%q2Lj_ZXXOBoWrzw+v@(ueO>y^yWprO}rIvp5NF3lb ziiwR47w7?6R+ebjeX1q6yT9Mk<^(|F1W0c13H|;3cN`Zf>P`+UGU8E8z;hYBj(Cl4 zUVPg1mY9)|k%EF^&HQhLnBDvzLe+uV->Psw@NpnY)LH9;9xD^cj46xaHinkGVQF6M*@L={_Eodjsp9+&Pi*pL%O=t6SsV=Qo>)q zegTifLyc59o&%_h$e6n$Q1OC-g2bJxGc*3k_3-mk@$&NS&8J1Kjh~)Siyp1{^$1#A z=tpFjg@xc!i^2El=@@mPl#|Ed4;dUi?!4GA{yj6p!Mb(Jw6meL702UnXGS+PGV=3B zlMWlW0U|nnqSVw>5SaHiI&Kt$1f^Z=L=0Mi%#!7QmBjPWs+hr@+v=@nPVUQV)b@0CDpZ>sp+N){C#8NG?J@5G&NJh1nY5JoW-_ zuuxA5ey9AomzNh2qX<1Zl`Jzeljfca5B$D=NC+Wx;3?>-zaxUIN2_o^vHa(L;dKae z-dgC5=_J8w0A*eZ{BH-4F&&Cb3AOJ^H&7E+4Q`10@Ee*F9`#}?G$yQ2( z*?R_P8Jza{#l@zfp@hWpo!ePJNKa3Wu~49!$}A<{HX}DQH0;h(zY)eDLiSRZ(5d^^e>b*KSNZyuTA?F1rZw77ZO8*LLxT z57&3S>XuYmvygo}%y59wy**@SZ(q4<1DjVdNKB+l!CRP{>kFC{ztu?4+M3Pl*x06l z0V?a7b=>EcmeDCGq@e0;ErCXtIJB#G|2~%M_9BkhzC9KyDLL78Y2Z4X0A$k&3JUg) zHoKHGHG`pJ7`BE`%Jk-SdhKtRNIZCOpEG6(L>iR$c@{}_IpxDjrQH{!pB{ym{@t9u zh4Ff?G!J|fLiIr42?JSX@?d+Z`^S$Qb+Pv=CqD)U1ATn3h=_?}bn^f>?%Z=PuV&8m zXf$<8$P;H%>9_V(Q&S@&^oIsAcOsqewX2KN)6-LtodRSbU+_`v?Cf}KCdB&s`k1)5 zLLc#zN}0fE`#npI|9a`3e8O!4XhyAEg*CqIudb%))qB$L=%bug$HH}MT@B{DQ)PMw zlSOabAO&q~587F{=<$LA0J%mumNtKW@@BkHseh9Js^n0K+21`_{yayCrHFV`?5mE?ffo0(=EW^pIl0NHDPMKn7dW82wbh>t;q1u}Z#gUvz%^$s{-TYi5)xLWnFW`(-7ZD@Z-UHQbxr|q!2p#cTUM{G^SUR(fqO~T2E z-`w2%og(|%(Y`$>=3B53X_DbhaCyjJKRR+hnr1xp&dbXiy77`lDgsI#hg-X%A$iQv z$!WG=Gf!Dn6{n2`9F)|otU$Njl}Uht+nJyQt*&i$iKe}Of9A)JAMEVx4In!6l?jyB z_YuoH9t7j~sUL`MKWnPsF}*eT0u9@aU%TCgP-7D4p2SsA$tJ8YYFpM{0R zz}lMB+S+!H3rle4RIGQkD5cT$m;)^>IzyWR>HTMTm3i+a+tv9Y1N=jWfr$H(jU zWh>b@IR!uq0DG&SyBEp<q+@JAX7Ytj89I^fK#dFEB8KZ*18892#l@!|@!|HAVBm68XQUpd|JE z)ZMz{9sb$xhiB3xEz!EVZ_30M$kbGQ@w+D-zS9PH> zDP3J%Y2)VR=kY?-1h}Q+&MSbdF%_)%h@wx+@{jfE{tkw->XNul|V$h z0H&Er-G^XcFc|2XMz9Cp%?AS(7tL$d+vvdN@NZLUW@zlNip+7(2X{mvn(+Gy8!#($~@vq&CBykp#7c|1139-(caFmHO%Vni62f5T zxkQDo4(c!JpiuOZNEV=8K~km95m>&Mf&z7a|BZs>$2VDZ+WT^p4Gax^!P6+&*H0hl zhNiIYmK7=^FYlS-^jOa%gPZVNb>sJCBV!XvaRmiD_|2E5mNzZGWjxyL&Wbd9g85}d zK}~1&HmEOcp;LExxl`{Hh#-){Q1kE0sX&~)xzsOBl#lD)f8a0TO1vv`0$Xu>k(41e;g9P=7;Rh6S(mz*yywkS4k zm)Kg|o|;pxsuHA~WlLZ1JX{udK2$;gw8&+es^%e{H29QinkP}r$3+Hy zH#|@FS=YxW?&g8 zm5|-bsv^hQw%9W`_!;PMk;kDE!h2S0Hc4oVKt*l_^Ss!+pA+ zAbB?6G+GS>e62R)v^O;{XjC1+(j7TfXCkvvy?r|-NtyEB_$$@Tv6m?bd7g&RBnli( zcP2-IUxeXMmV`RT6YI5Fm#m_4bY?dUGuT}jU0YwjZ)3xA?fP{%FDQF^d!Ua-%R{9j z?!+<1y($S-v)|rm$Iwr-9*2VaqNJ-^Q1Y$qYfE(Ik^@0$5<21LQ zk%=6wi9_nZPN2dHSUxTMa|+5TO8Uyk(&E>bW}JUlL09(@;0|J#*)A?F@6yxHg0Cs9 zpzs;2&x-2$>?*HQk()PfE{;xS^XATs?!B(;l~8_IRTV(W7y(A-eYRJVz#gswt_LKH zA1vW}qizqKL$CG-5L9bl4vX!C7}LtwsBf*?I3{jTaelr#h1@J5KmQse8m16L%vWpv zkY6NY;r0&|$%xx>S%(yg>V~q(Lv*9ml$7_G$e4hD&Cbpu$p?@i;Q9lVv-To?k9;yE zg%h^5wZ-G~M+4CG)b^lWp@5FKNqb++t7&CiOISD;;3Sh16W-sx$wJye{BrcO8UrWG zsa!X%0;m=HK|j^G!Y5IeAA$eH9i{uwQt9kEJ-e0 z!2T9L>DwGg-Q4uvG_N4kL3Z(LWKnQk=#9JCc~%#1*8SJ*Jj(vg8Y6>s zv_8u(An+OZiUPRe?;%}-;6Ko(Yyqz7cI4FtaK?44uT6?0)Ldr$s(ccVfD5v+vP@+7 z0OOltbUzgrPkwE$tf*jOXU7*kJ-UUOx%sU0p}dq79zdBdU%sGFU_JgDXK8ww!D4mu zi8D`2&5O+jnrZXO0oC%F#LSz{?q-}12gxe6BOqp@50)2r&+OdXk}fWH(Bk4R3ge>6 z)ZDDcnwronrGQdd`1#8kZ}>TOM455QeU8h#X_s!so_f*+L_{B;XQLn9pv8q?3B)jh zUeK@GYZ3IHo|JRC>XX>#y_s@f+S`4ge-!9cS8#GQgeDrLhw16Su<6e*kWV^L! zm4DN@-hb0sQc@C9PQQmB&#-j;Q|e25VE4oYr?64b*I2JzyH@0|@HnW|@XFPz(~JFi zu*<hE5LmD@|isKLP;1P zxw*MfadCka6?aO9+q1qUBWW=PK@4a(Kv_A7tFkk4uIT7MlYs?jfnAGENC+Vn*%Px& zH9!v~0AvLl2gq=P*U2U$awgbbrB+qZMly=dc1rUFD3}R?Q3l%OCD2chmU?o0xO81g z`QqK4+sWLi8%k~-z0g{fv*cS>>rW#vn6oQ>!$9&8+7Ib9eG7|o5Z9o;V}lALVR+10 zt5%&<6*;72S854LfsLc1KWLQi-@ivaC6O5bnN7n_xaz4eJyucCeDJcn|jA$+@UA)(`UYdx3?8I|;AwH)YDzcD~nfS4$0FV@ilWjB^B&^}G;vQv+^sY4U3f#TC{J zmb-V)*;Srlk<^$tJ?X+VYWt}_CE*sIKx+l34T zL;8weB|!So5(ZA@>k(iF{LV0bO2sT9f&;G#3U%}T_)#YQ&6}qFek#Ofa~*0PNg^zI z)ftI62M=%F3XOXGIs&eOnQiuxo&6)gblyMGK1@umPvJZKmOhtpkc@G_L6REglvJ@S z%*^3J;fXP-XIWT0K*_czaA?6lhwuMd?BO8dQ@#KFj}sG&xJ_-x;5Ipc!^i)P{vU@g zATN*R;9z-H>I|mj9K7ek6xe_j&a06=5@2vB>0DQ*mA-A@D=cxDHuzDHAo2>sy|5Mr zQBN}0o!bLol{l~?-#oJz(Nb&2ij$E+Ip6!4!pf@bROk$YuMf7~52tvH!!zVHn2n9E z$gS<|QD|2=Fy6h(%EQm^{pvz^3u}5Q>~;DDc23UEr4~0Nr`TA9(K0gJM8w+_)#t-6 zvIKx(1%we<(PS!EcfofdA#)XuTz+)Hhf9S>x{`?TC0J;H7d80-H;fOU_wHoA)N;1OH;`7mDk zyDx*}66M9Y)y4kWp!eO~&HV^e9j~lxFD)VY zQ8JPWCww8J!KK9l!R})yjP{@-rd=%KYTitDJWauFp zSoy_lVb0?TzuxQ|rFT_YV-pTu2faMt^aX#8OnL8YeIbla0H3^_DU4B+MosNDd0bRM z5R~=lt2p(57_LZW?iB%c3RL%6N`T_tl;Av_b%ogFi)Y;qPvE6w=s`sSEbm*UFN^I= zZod^REN~7{k5OcA=}yHia#_dlheVL|oQIv!(Xz7Q81vX=2fwp{20LXF(rDT_SKP`9=k2|mw%#m0_8X_uy1%ix2XA z_f0bBiFFi+NlwUCRy-0JnqgAw8lJ;vUY1KEaD+6dT&|tUH%_V?2r`Ijm+E0QH#hg*VqT$^p;9`7 zS*NF*tZd8s2ccS5nIPo#c^?0t_q&n&|C7O%W~GA#q`d}0hycm~+Su6HHARY^e5p=W z@XBc`f!y!UU%za7vqic9Hi1iqq@s!G0)W|YE(J%3(rzKAC{^9X<8V|)l`D+3K3 z=68jJK0yGCqjq+6wF|O+ny#*bT-UFg&@g7^wNRq{sZdAx6aN8hP!qWW^ey(h-@^76QZpfja) zwKKxBZ2UVhc_8DTu1cP(!U+*Gkkxh*w7E?$M+ZShFOYZV@_mFHTioF0eu|2hWitYa z4haM$mK6k>ub}fduu4Mg7snIqU|+RVKq-&EEcJ+L+rc&th&^FTpSu_9Gli|HX?JBNkw=XrpI7$vYC1 z7JI(Kd}TyNL7ZA;z`^_v7L+$gWdBGBU~ed@sUg_WN)QCZl~cgDC~vS0e*XM90Tv%3 z+iPoUBk@1P??8d)4l>L+3kwUYv7z3i$2qUvzQfgWWIlYw#taT0B(%YyzXlL#4Y0(! zni_h@BF5h~d)c#G_#u6g}J#v@F`h1I0$rg zbs^{~2C^kC34IXIQ-HpwrokSUiK1(8{Qv=8u7+d*xMezqJf*iH~Bx)B2^;c?4Q zQ_~qJ_XnPybv*~>>zY}Mo-@Ow5M`q*l}0cBlN)aKDAM|WNX==vxiZrm|28%Z`A^^^ z_wL<804JEtVw^FC`x`Te1`1{ioz5)ibV{&)5FZN=qD5R6$cE{z&a0>{SAls!;^E-| z^qgOVa2iUaVLa;;rJtQ810>o<5~-GS(6=Ud@W5s!m4bFVii=Cbe^U^E%PJwfCF zlpL`fo!)A#JZ};Q{bGOP{3U+oMhk7e>mq9eW@;$r#_oue*zpsfCm!R0COAR{>1}` z8o`mS9H+j3mX>)-n)oHBd`9 z)jT)oah&uOG(;@l-h0vH@ysmunzA|&_g%VPt(=@3P!nfzv+qEH1hxX+9I=iNB@Kjb zXm{8^hmpiJ>`uOe!(iVcKRi&;tD%F7x^&N_`&lVNzj7UHE0Re8`Py~oPcR}{Lu_*U zKuleodSzvW=GIdpB>2AKD5q-Jr@H$?g&?Z{G2tN7Ui9%}6HI1!{vks1(^I}X*Nuo8 z8yoQn37a~Tg%Gm@7;9swZJiuQV8frbCEBL=M4c}5k>l@AHz9$BPzLY`Q3cMRpvf+ZJbcMh` zNBlKF8x@t62Jmf{wFxX(dp~ICQy|31WOVMetj)yfO}$bOx&QDX0n`}w!~@?`cwmV6 zRXY!mu)V##ckkYLCtig!1==J4DQ+a30guE892}0rU(+ztkf1l5s3-96YH_abehL0n+S0=R?8fIJa`Vgh>=LIF^#JdiIzq|E~2f1mu=&0qmv z5Y{>X1R`iSijN=rW@od5U}XgMJw$`dY!Z=x3uw=-0!h!p%ozn{YJbqk9cC9mD8vXN z*x)+t&551{1IdO8L0^uZ2)$7^LC(jV9{RZUiKl(;_nI&c<;V5o6K^5n;pv zgf5e%fe%JueDzhtDT}wlRfm;E3qX>?_0Gu5KeGIZp(?*bxK1KU=w~btp}9x3H-l-;aKn>?K@P; zBlp18(ua9Ngc>d~z+T;_Ni)BNao}H`!gmBiiVXiOVzw6O)kh$1C=$=m(abD>F#XZt z_^Bks0_2nKVCm?Lx(fU*bQ2PTSgXU*0C8Jen@pjqnws5`nY<&NnEm#fw%q0HuV21+ zLyvh}N~2mjs5oPH_mYS^K0LJn@^OKV&VSqr!MStIQ2fzJNkm*+Ts6l#!xgUExoy>! z{VRbW*{+nn*qrs@4M6T9vCfK7V6OHD8EhCcM98VRwHuoJ&oNVlDrswnfm;q1&xY;| z=JZW7YJyV!i?8G2Sa^BQ!!$)TRDYD!f#3szf{wnnU z{PTzo-|G1Ez_O9ZVJk?b3+H6Su}2d=MuIgN2ptTX+L=dj-2RY8hsVYWbZbMPdmx5j zO_?8A&)w3z`ww#yo@lbc;}0O}alqJVJIuOzodNq@kNYwLG%%@aXfqzp2VLn|3U9}H&($<;#+4f*+y zg+k)e{Cq=yKP4b*NCljESE&_|xhV2I2g5=^$O{=7ebjm=xqAnX5r zr1n3au%%^~8Sbt%BVfL6fh0Ofe8_sxi=!M5!9y4-wHOKsjN&%=&*Uf*ro`LzFHK~Y tlL8j~Zyw@#ch1{f>O6eljfGR}S)a2vn|-Se;dx`!!w2#b1!#TW{{z-IvLgTh literal 5851 zcmc&&gM9NA}HNpENczwdf0RPKdlp4X?Z3Im5 zDRlGq??+u`6a-O)D?fdrjf~$(@Pbo}UvvzRGMBJa$zTwbyiI>iK$fMhZ{$CYAENV0 z-tk~jvpA$vhcZGle+kppajb%R_2E{XL295p&uB=>{g9>iI#@Xl_$-!qxc5nImDbKW zX2cV$Xj{HN>0d956|nC2nirUlpR89VrIf#gC40-Q>@I|LX!?Wdp7t#}GTA$SPoBh7 z4bRP)=;>wVt1~|!VvQ2@ze4(+@E$Gw8ZT@^9E5+sq75#q{CiNq+@d*E<3(O&Ed_-d zslZ@&R2EL|zvYnOmd(N#1t)|NRFaaCTAG^gGYYQ<2L}V0m0Vqqpo*^L1OKZ7#nr<_ zepb15W;=~pcoYLB5?S_{ilj-#ZfJJ)kLk??b-nlH>CWJw`l?;43z6rhfWN_dURhZ=zqk++5t*rR z&#kW3XC_7a{^l1KH=KS&M9d!4-rkNzOB}1d6p5diF>;{wc|I~VRfA~5N2`*MkWk7? zN=W#hFXH5V@3uTNHmUQzLq=w9X=#Z-@CRI9tq&x8s|9L@L? zxR!BMHJOQsiu&FB zIfI~LcpeWFq11{fR!fu!-k~Qa=XYJ}O-y8@lm{0gfn-Qq+uN=7=IUIk8TN!(S=*x$52dO{DTG5Kh;Fj3gJ9~RW+Yo+N2OZqp+$^>nB;_?W z!5Z20kK8}Bx3yVCJ#<4D&phdz|YM~rpnLD+nuQ% znVh6$Vj4gc7hx_eFPB<$MS^H|cdK}MdK#fPFl96z3k%0InSF_l{&P8hV^unNa&pqz zw7I$IwZ9NlSNA7dD|6q!Ba}8OCg$vLwWqc9DQnc^=xCa9$;8M)bF*x;qIr8L?a^8v zMex(|^72xvzVE`$j9%aI)| z)^5R%LZNbVb3cWKhM-XMG%W95Q#D*)*gO1gLs3IevN~K}9}lu|aA@u3HLVY|)i8!8 zwhD}E85kI72-~AM^|ViYHU^XLaOy7nX>V;^h>MSpkBo{ER6d<5w}%3!rVLh3b8~Va zXdqFtMVCq1pAb6#b2dMg9-K3j;!=ihpzRc5VPRxsw6wgec10?l-%v_W(5*xh zEv=Cx$Ias!LHAm?q2aHM4Uk6)X<-5?E(qd+7csN3t?$m(mRb*-o}BD}f|0`)`TF&1 zLP7$PYHV!GnNWr&1_vBiSlZg!4B{Syxnah2e%HU(LHb>)uNs3e0bC$?Ck|R_i^|GI zS@hZ1*y!o$qX$?!!kFeqMzjnKQTd2c@u8y>!dF>cssDViuz(=k*ESQMLvSyPNWwbA z0azIt8mg+Qy16|zaWXg8Ffz*X(q*XyDfK&F{9r#`z|G6Mx3yK{xi`1ehN`Wtb#-<1 z+?~5RC#y3#8&*_m%JWvApZLBpdg z$go6x&-XzdJ+~(`G&F|B#&iq}=;-O=zJ6_Ab@B7_6Ly+`o0^*H=~0uBE$;0(o0}&u zsz)iph`TzEqv~xU2G)gzgf>zx8QQ1ATyuEF0HM# zFTMnK`y`R|Z#MlNY^Ch5;i{Z7nrUfi>FZDS#tK}{^I*vmpMD9nQBT{bBe1~2D9264 zS4WZNK>u^XcU88rzWzb-V0>(>yrSYW3f02+$PVRmwu^oHb_qOBBUPd9a<}%^&-|7| z2|4ec{gL|+~N~x%p!Fi3pMq#*Nt6+Vb}DQjHTL@;SN%;o{=T zkUmvZ?D+YU%11dYI^c2#>`|ehpdckBMZzf2hz|lTQHRD6q)kQ@`6;oyPHX_^0dSX`WH~zc*`LKWg~B7WaXK$-vMs;9@iL8sV%E6Z(hIdPY}mZ@>A~? z5+Glui0ixVkiI_nRoJk$zAg~k3)sP>dS*cClCW}PF&tU*@+HZg;2u~44hg!;;Wot1 z$vItOiAqmjZU01HZM56+frJ1bzqz?tA&fEqKt}VOd7eC_e3Ep4|5`6CH8u5*Ih^!i ztBl|S+u<~2U#W(Qiqj8F{#m)XFjZ9@TuZ1K|w(%R8O_*dQtbz&JMsWBcAcj&d!#W2Lb}6 z&IdDfKAuA<@);Q!V6_pC=kLSSO6U1@q3Wuth52Dwjk5ZB|JCkj@I7E1`=5DD^*V1- zY;<&@!@|NqA*CrtMMg$Ki{7s~KHmjs3o$|KMBlPlzCG#AkS7acGgKhdvF5idH*wAG;wNqXfvgM+(1 zqAsOjFbYQ;{&*W_XKVi0*2solRI0)!&1*W*xAEV<|J>T5)+^Mt6%RMR9o3~hm{QPe zb-vD1x4NDba0@c3y9gb)QJO9$bY3_?G{|TiZ% zu#VZIyRD;Abuu;Iw1V}b2WwbfailWn%Ubk)zX>DO3pzB z+YbV+hN2Sws6X*CHZCkQ_DRVPe=n|%@>}VSo@XI%W4fI&WJ60UZxFoB4cQfkSy)hR zZVgl7`*>T3iiU}c<1BRKDl&uLgDSrqPA89!c@MTfTrEi^+5EeJcV$K5tIC+9%F`m@ zN8xiA)@Xjm0v-zk#q2k+iczt=`b9VcB$GIOF zTwRTqK->Tu6<y#b{;kB+|7Ae_<3#@dP99%yt0$`?0cA81 zTf(*A@be4z>Wb7K?8_Zt0YI_O88vH27a9?}A1Va5x-*BP4`N>s^KE z#VPf&*lS6wY9OJZ$gd+NTkS{rbfDh z<6|yx0bbrD@R^RzSXUI=EeLd>xYuEt40BOY(K%qql$4Z`k`kN8bjAKaxH&oP0zp8A zWnMZ76u4oj713*EWNBMln~shS12NnE`v`zlEUPS{t@Rw<|3wCZb5Ds8B z;DuIJEQ;Z1=Xoh~2LUyY?_n34^v%`L&wNAq`x;tW6wr^Xtj^(K@)0Ku4YII~)FB)E z6YGJ*gz)h2n3%r^DCu)*1RUSiST3>@$V4Vm-NfB?zM%Y%#w3JT`x=GO$=Nc}4ueSJhEc!f9Chhk#H#KeF!gq`PF38b&~ zLDJ`t5bk)^=6vRs?B0Ry;W>(pylI|}=goIM(3vcrBxS&97j=rugJY3wy z7X*ZaZf7$Rqgmw;?UY{9(;B$8`f5wUl6~Vc9c?*Hnvv#lkXn((vRUVu5 zdE(62nEU4NKig^BYik}r{Vd^qSMu}}4oLyB84Mc0=moS-Yd+|tFh)t>Emc%i@1WY| z=H|A#1qU>kN%KtV49xW{yWt7)D5?Z0znZc#H(;Ti=}zip$VCsBb1e1|^h(A!*w}t2 zV|pNxpojrlJbLtqO)Y++-p|M0J~uyq2ej)6Fj6}`%Lg2soB)X8;^M#v#dBxM(##Bk zfPNa62Atk-^JfqDHTrDM2XvfvbuEA@@bm!O9335RL7;^J6zF8igK-zY&^n*9dhe5N zfKcP(m1Sj=^EGBoufKeu-1Zl}ckh<;d^Xpf&S$y|LTLZ=^m?~;4=KUuq0di~g)&-X z=GYTK7T-JfW5TnwwdK^!qrpoo2BS1Ed;s=HvE}fIEJrktehCXdzvirD71gGr1IV+G zfPj|B?<_2-Ul|PSA)rQvH{F1zbnHm!{LwB1KN|{{T3%nbc5p!ZU7j{o*>AGFp`%|d z8RG#|P{+YU2&}4zh2P27C!dJ^!_5n#-$U7+C*oqg24>vT!=q%r=Pz$ z=qSYi41OrUkj%-+A52Gpp9FPbZN1JEaHTQ*s;<1z>wuS)$Cp-q=nW1@f1I#$%X=cY zAn}Km#g|uq{uJwA>wN<=85L)sk9$0}CxRs1sZnh`F}wr){X#-Qy4JGvU5#EEf}lQ$ zh=`bc_iriRP2mh}oz5V3Un?Uc7)`O0qs|}%&M{9ySlILDO`~UPpZ3a}kb9Ou<|p_M zDxEiVPT*+QUGI$rbEV3F8-K*znP=(!(+YF%#9XI7V%up5>gwvQt*up8SF^ak6u7hN z*rFReCnT2eS)AZbe=|Po;~4^BM38~D;sJ78R5Z3K=3o2IDdx7dv@8!M%Vnx1;FFN-ZErso5b!yh_0*Zl3iNh1 z1h9cXEDfi_=DpSvz^gNAT z|DN3bM=vE)pYZ^QqA%lPcIHMD!&}DV>IRoU?+=Y5nIF(uTU)E<*dEVeW6)y!-+Ard djhk;UEuVcH_z;VQ0MlwnSzhgFfvnl<{{pk-RZ;)| diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Operation-members.html b/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Operation-members.html index 43c1636a..eb09d0d0 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Operation-members.html +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Operation-members.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    @@ -79,22 +79,25 @@ are_equal_impl_(const_base_reference rhs) const noexcepttensorwrapper::detail_::PolymorphicBase< Operation >inlineprotected base_pointer typedeftensorwrapper::symmetry::Operation base_reference typedeftensorwrapper::symmetry::Operation - base_type typedeftensorwrapper::symmetry::Operation - clone() consttensorwrapper::detail_::PolymorphicBase< Operation >inline - clone_() const=0tensorwrapper::detail_::PolymorphicBase< Operation >protectedpure virtual - clone_as() consttensorwrapper::detail_::PolymorphicBase< Operation >inline - const_base_pointer typedeftensorwrapper::detail_::PolymorphicBase< Operation > - const_base_reference typedeftensorwrapper::symmetry::Operation - is_identity() const noexcept (defined in tensorwrapper::symmetry::Operation)tensorwrapper::symmetry::Operationinline - is_identity_() const noexcept=0tensorwrapper::symmetry::Operationprotectedpure virtual - mode_index_type typedeftensorwrapper::symmetry::Operation - PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< Operation >protected - PolymorphicBase(const PolymorphicBase &other)=defaulttensorwrapper::detail_::PolymorphicBase< Operation >protected - string_type typedeftensorwrapper::detail_::PolymorphicBase< Operation > - to_string() consttensorwrapper::detail_::PolymorphicBase< Operation >inline - to_string_() const (defined in tensorwrapper::detail_::PolymorphicBase< Operation >)tensorwrapper::detail_::PolymorphicBase< Operation >inlineprotectedvirtual - ~Operation() noexcept=defaulttensorwrapper::symmetry::Operationvirtual - ~PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< Operation >virtual + base_rvalue typedeftensorwrapper::detail_::PolymorphicBase< Operation > + base_type typedeftensorwrapper::symmetry::Operation + clone() consttensorwrapper::detail_::PolymorphicBase< Operation >inline + clone_() const=0tensorwrapper::detail_::PolymorphicBase< Operation >protectedpure virtual + clone_as() consttensorwrapper::detail_::PolymorphicBase< Operation >inline + const_base_pointer typedeftensorwrapper::detail_::PolymorphicBase< Operation > + const_base_reference typedeftensorwrapper::symmetry::Operation + is_identity() const noexcept (defined in tensorwrapper::symmetry::Operation)tensorwrapper::symmetry::Operationinline + is_identity_() const noexcept=0tensorwrapper::symmetry::Operationprotectedpure virtual + mode_index_type typedeftensorwrapper::symmetry::Operation + PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< Operation >protected + PolymorphicBase(const PolymorphicBase &other)=defaulttensorwrapper::detail_::PolymorphicBase< Operation >protected + rank() const noexcept (defined in tensorwrapper::symmetry::Operation)tensorwrapper::symmetry::Operationinline + rank_() const noexcept=0tensorwrapper::symmetry::Operationprotectedpure virtual + string_type typedeftensorwrapper::detail_::PolymorphicBase< Operation > + to_string() consttensorwrapper::detail_::PolymorphicBase< Operation >inline + to_string_() consttensorwrapper::detail_::PolymorphicBase< Operation >inlineprotectedvirtual + ~Operation() noexcept=defaulttensorwrapper::symmetry::Operationvirtual + ~PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< Operation >virtual
    diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Operation.html b/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Operation.html index 4a6ab008..62daaa69 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Operation.html +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Operation.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    @@ -135,6 +135,10 @@ using const_base_reference = const base_type &  Read-only reference to an object of type base_type.
      + +using base_rvalue = base_type && + Mutable rvalue reference to an object of type base_type.
    +  using base_pointer = std::unique_ptr< base_type >  Pointer to an object of type base_type.
    @@ -157,6 +161,9 @@ bool is_identity () const noexcept   + +mode_index_type rank () const noexcept +  - Public Member Functions inherited from tensorwrapper::detail_::PolymorphicBase< Operation > virtual ~PolymorphicBase () noexcept=default @@ -184,6 +191,10 @@ virtual bool is_identity_ () const noexcept=0  Derived class should overwrite to implement is_identity.
      + +virtual mode_index_type rank_ () const noexcept=0 + Derived class should overwrite to implement rank()
    +  - Protected Member Functions inherited from tensorwrapper::detail_::PolymorphicBase< Operation >  PolymorphicBase () noexcept=default  No-op default ctor. More...
    @@ -201,7 +212,8 @@  Derived classes should override this method to implement are_equal. More...
      -virtual string_type to_string_ () const +virtual string_type to_string_ () const + Should be overridden by the derived class to provide logging details.
     

    Detailed Description

    diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Permutation-members.html b/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Permutation-members.html index 2ad3cc95..8040e10d 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Permutation-members.html +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Permutation-members.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    @@ -81,32 +81,34 @@ at(mode_index_type i) consttensorwrapper::symmetry::Permutationinline base_pointer typedeftensorwrapper::symmetry::Permutation base_reference typedeftensorwrapper::symmetry::Operation - base_type typedeftensorwrapper::symmetry::Permutation - clone() consttensorwrapper::detail_::PolymorphicBase< Operation >inline - clone_() const overridetensorwrapper::symmetry::Permutationinlineprotectedvirtual - clone_as() consttensorwrapper::detail_::PolymorphicBase< Operation >inline - const_base_pointer typedeftensorwrapper::detail_::PolymorphicBase< Operation > - const_base_reference typedeftensorwrapper::symmetry::Permutation - cycle_initializer_list typedeftensorwrapper::symmetry::Permutation - cycle_set_initializer_list typedeftensorwrapper::symmetry::Permutation - cycle_type typedeftensorwrapper::symmetry::Permutation - is_identity() const noexcept (defined in tensorwrapper::symmetry::Operation)tensorwrapper::symmetry::Operationinline - is_identity_() const noexcept overridetensorwrapper::symmetry::Permutationinlineprotectedvirtual - minimum_rank() const noexcepttensorwrapper::symmetry::Permutation + base_rvalue typedeftensorwrapper::detail_::PolymorphicBase< Operation > + base_type typedeftensorwrapper::symmetry::Permutation + clone() consttensorwrapper::detail_::PolymorphicBase< Operation >inline + clone_() const overridetensorwrapper::symmetry::Permutationinlineprotectedvirtual + clone_as() consttensorwrapper::detail_::PolymorphicBase< Operation >inline + const_base_pointer typedeftensorwrapper::detail_::PolymorphicBase< Operation > + const_base_reference typedeftensorwrapper::symmetry::Permutation + cycle_initializer_list typedeftensorwrapper::symmetry::Permutation + cycle_set_initializer_list typedeftensorwrapper::symmetry::Permutation + cycle_type typedeftensorwrapper::symmetry::Permutation + is_identity() const noexcept (defined in tensorwrapper::symmetry::Operation)tensorwrapper::symmetry::Operationinline + is_identity_() const noexcept overridetensorwrapper::symmetry::Permutationinlineprotectedvirtual mode_index_type typedeftensorwrapper::symmetry::Permutation operator!=(const Permutation &rhs) const noexcepttensorwrapper::symmetry::Permutationinline operator==(const Permutation &rhs) const noexcepttensorwrapper::symmetry::Permutationinline operator[](mode_index_type i) const noexcepttensorwrapper::symmetry::Permutation - Permutation()=defaulttensorwrapper::symmetry::Permutation + Permutation(mode_index_type rank=0)tensorwrapper::symmetry::Permutationinlineexplicit Permutation(cycle_initializer_list il)tensorwrapper::symmetry::Permutationinlineexplicit - Permutation(cycle_type cycle0, Args &&... args)tensorwrapper::symmetry::Permutationinlineexplicit + Permutation(mode_index_type rank, cycle_type cycle0, Args &&... args)tensorwrapper::symmetry::Permutationinline PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< Operation >protected PolymorphicBase(const PolymorphicBase &other)=defaulttensorwrapper::detail_::PolymorphicBase< Operation >protected + rank() const noexcept (defined in tensorwrapper::symmetry::Operation)tensorwrapper::symmetry::Operationinline + rank_() const noexcept overridetensorwrapper::symmetry::Permutationinlineprotectedvirtual size() const noexcepttensorwrapper::symmetry::Permutationinline string_type typedeftensorwrapper::detail_::PolymorphicBase< Operation > swap(Permutation &other) noexcepttensorwrapper::symmetry::Permutationinline to_string() consttensorwrapper::detail_::PolymorphicBase< Operation >inline - to_string_() const (defined in tensorwrapper::detail_::PolymorphicBase< Operation >)tensorwrapper::detail_::PolymorphicBase< Operation >inlineprotectedvirtual + to_string_() consttensorwrapper::detail_::PolymorphicBase< Operation >inlineprotectedvirtual ~Operation() noexcept=defaulttensorwrapper::symmetry::Operationvirtual ~PolymorphicBase() noexcept=defaulttensorwrapper::detail_::PolymorphicBase< Operation >virtual
    diff --git a/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Permutation.html b/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Permutation.html index 1cb1be8c..6b8647a5 100644 --- a/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Permutation.html +++ b/tensorwrapper_cxx_api/classtensorwrapper_1_1symmetry_1_1Permutation.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    @@ -165,6 +165,10 @@ using const_base_reference = const base_type &  Read-only reference to an object of type base_type.
      + +using base_rvalue = base_type && + Mutable rvalue reference to an object of type base_type.
    +  using base_pointer = std::unique_ptr< base_type >  Pointer to an object of type base_type.
    @@ -180,19 +184,16 @@ - - - + + + - + - - - - - - - + + + + @@ -219,6 +220,9 @@ + + @@ -254,6 +258,10 @@ bool  + + + @@ -268,16 +276,17 @@ +virtual string_type  +

    Public Member Functions

     Permutation ()=default
     Creates an identity permutation. More...
     
     Permutation (mode_index_type rank=0)
     Creates an identity permutation. More...
     
     Permutation (cycle_initializer_list il)
     Creates a Permutation containing a single cycle. More...
     Creates a Permutation from "one-line" notation. More...
     
    template<typename... Args>
     Permutation (cycle_type cycle0, Args &&... args)
     Creates a Permutation by explicitly specifying the cycles. More...
     
    mode_index_type minimum_rank () const noexcept
     Determines the minimum rank a tensor must be to apply *this. More...
     
    template<typename... Args>
     Permutation (mode_index_type rank, cycle_type cycle0, Args &&... args)
     Creates a Permutation by explicitly specifying the cycles. More...
     
    cycle_type operator[] (mode_index_type i) const noexcept
     Obtains the i -th non-trivial cycle in *this. More...
     
    bool is_identity () const noexcept
     
    +mode_index_type rank () const noexcept
     
    - Public Member Functions inherited from tensorwrapper::detail_::PolymorphicBase< Operation >
    virtual ~PolymorphicBase () noexcept=default
    are_equal_ (const_base_reference other) const noexcept override
     Implements are_equal by using implementation provided by the base class.
     
    +mode_index_type rank_ () const noexcept override
     Implements rank by returning the stored rank.
     
    - Protected Member Functions inherited from tensorwrapper::detail_::PolymorphicBase< Operation >
     PolymorphicBase () noexcept=default
     No-op default ctor. More...
     Derived classes should override this method to implement are_equal. More...
     
    -virtual string_type to_string_ () const
    to_string_ () const
     Should be overridden by the derived class to provide logging details.
     

    Detailed Description

    Describes a permutation of a tensor's modes.

    This class models a permutation made up of zero or more cycles. Non-trivial cycles (those which actually swap modes of the tensor) are stored explicitly all other cycles are stored implicitly.

    -
    Note
    Stored cycles will be canonicalized and sorted. "Canoicalized" means that each cycle will be cyclically permuted until the smallest element is first), e.g., the cycle 231 will be stored as 123. Sorting will be done lexicographically, e.g., the cycle 012 will come before the cycle 345.
    +
    Note
    Stored cycles will be canonicalized and sorted. "Canonicalized" means that each cycle will be cyclically permuted until the smallest element is first), e.g., the cycle 231 will be stored as 123. Sorting will be done lexicographically, e.g., the cycle 012 will come before the cycle 345.

    Constructor & Destructor Documentation

    - -

    ◆ Permutation() [1/3]

    + +

    ◆ Permutation() [1/3]

    @@ -288,19 +297,26 @@

    tensorwrapper::symmetry::Permutation::Permutation ( - ) + mode_index_type  + rank = 0) -default +inlineexplicit

    Creates an identity permutation.

    -

    The default Permutation contains no explicit cycles making it equivalent to storing only implicit fixed points for an arbitrary rank tensor. Such a Permutation is equivalent to the identity permutation (i.e., do nothing).

    +

    The identity permutation for a rank r tensor contains r fixed points. When used as a default ctor this will create the identity permutation for a scalar (rank 0 tensor).

    +
    Parameters
    + + +
    [in]rankThe rank of the tensor this permutation represents. Default is 0.
    +
    +
    Exceptions
    @@ -334,18 +350,12 @@

    -

    Creates a Permutation containing a single cycle.

    -

    Many permutations involve a single cycle. For convenience this ctor has been defined so that the user can construct the resulting Permutation object with by only providing a single initialization list, i.e., no need to do something like Permutation p123{{1, 2, 3}};. Ultimately, this ctor dispatches to Permutation(cycle_set_initializer_list).

    +

    Creates a Permutation from "one-line" notation.

    +

    One-line notation for a permutation of a rank r tensor is an ordered set of the numbers [0, r) such that i-th number in the set is the new mode offset of what was the i-th mode before the permutation, e.g., the permutation (1, 0, 3, 2) means that after the permutation mode 0 is now mode 1, mode 1 is now mode 0, mode 2 is now mode 3, and mode 3 is now mode 2. In other words, one-line notation shows the new mode order written in terms of the old mode offsets.

    Note
    If il is a trivial cycle it will NOT be explicitly stored.
    -
    Parameters
    -

    Nothrow guarantee.
    - -
    [in]ilThe modes involved in the cycle. Modes need not be in canonical order.
    -
    -
    Exceptions
    - +
    std::runtime_errorif a mode appears more than once in il. Strong throw guarantee.
    std::runtime_errorif il is not a valid one-line representation. Strong throw guarantee.
    std::bad_allocif there is a problem allocating the internal state. Strong throw guarantee.
    @@ -353,8 +363,8 @@

    -

    ◆ Permutation() [3/3]

    + +

    ◆ Permutation() [3/3]

    @@ -367,6 +377,12 @@

    tensorwrapper::symmetry::Permutation::Permutation ( + mode_index_type  + rank, + + + + cycle_type  cycle0, @@ -384,16 +400,23 @@

    -inlineexplicit +inline

    Creates a Permutation by explicitly specifying the cycles.

    -

    Any arbitrary permutation can be specified by providing the cycles which comprise it. This ctor takes a list of cycles and creates the resulting Permutation.

    +
    Template Parameters
    + + +
    Argsthe qualified types of args. Each type in Args is assumed to be implicitly convertible to cycle_type.
    +
    +
    +

    Any arbitrary permutation can be specified by providing the cycles which comprise it. This ctor takes the rank of the tensor, and a list of one or more cycles (zero cycles is handled by the identity constructor). Any mode not appearing in cycle0 or args is assumed to be a fixed point.

    Parameters
    - + +
    [in]cyclesThe cycles comprising the permutation.
    [in]cycle0The first cycle in the permutation.
    [in]argsThe remaining sizeof...(args) cycles in the permutation.
    @@ -448,41 +471,6 @@

    -

    ◆ minimum_rank()

    - -
    -
    - - - - - -
    - - - - - - - -
    Permutation::mode_index_type tensorwrapper::symmetry::Permutation::minimum_rank () const
    -     		-noexcept
    -
    - -

    Determines the minimum rank a tensor must be to apply *this.

    -

    Cycles stored in *this are expressed in terms of mode offsets. If for example a cycle swaps modes 3 and 4 we know that we can only apply such a permutation to a tensor with a minimum rank of 5 (otherwise it would not have a mode with offset 4). This method analyzes the cycles stored in *this and finds the largest mode offset.

    -
    Returns
    The maximum mode offset involved in any non-trivial cycle.
    -
    Exceptions
    - - -
    NoneNo throw guarantee.
    -
    -
    -
    diff --git a/tensorwrapper_cxx_api/detail___8hpp_source.html b/tensorwrapper_cxx_api/detail___8hpp_source.html index fdccdbe0..d46da362 100644 --- a/tensorwrapper_cxx_api/detail___8hpp_source.html +++ b/tensorwrapper_cxx_api/detail___8hpp_source.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    diff --git a/tensorwrapper_cxx_api/dir_0653980ded186e5bbc80abd4608ff901.html b/tensorwrapper_cxx_api/dir_0653980ded186e5bbc80abd4608ff901.html index 594c4403..3a2a92bd 100644 --- a/tensorwrapper_cxx_api/dir_0653980ded186e5bbc80abd4608ff901.html +++ b/tensorwrapper_cxx_api/dir_0653980ded186e5bbc80abd4608ff901.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    diff --git a/tensorwrapper_cxx_api/dir_208989b7d56f3f884773be54d832433a.html b/tensorwrapper_cxx_api/dir_208989b7d56f3f884773be54d832433a.html index bdc4b26d..e604ce3e 100644 --- a/tensorwrapper_cxx_api/dir_208989b7d56f3f884773be54d832433a.html +++ b/tensorwrapper_cxx_api/dir_208989b7d56f3f884773be54d832433a.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    diff --git a/tensorwrapper_cxx_api/dir_41bb1742ebe52fc97a400dd50965c78e.html b/tensorwrapper_cxx_api/dir_41bb1742ebe52fc97a400dd50965c78e.html index 01ac9805..82037383 100644 --- a/tensorwrapper_cxx_api/dir_41bb1742ebe52fc97a400dd50965c78e.html +++ b/tensorwrapper_cxx_api/dir_41bb1742ebe52fc97a400dd50965c78e.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    diff --git a/tensorwrapper_cxx_api/dir_46bd36d1e8bbdba3a41b13c1c713b182.html b/tensorwrapper_cxx_api/dir_46bd36d1e8bbdba3a41b13c1c713b182.html index d35e173e..2e949aac 100644 --- a/tensorwrapper_cxx_api/dir_46bd36d1e8bbdba3a41b13c1c713b182.html +++ b/tensorwrapper_cxx_api/dir_46bd36d1e8bbdba3a41b13c1c713b182.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    diff --git a/tensorwrapper_cxx_api/dir_68267d1309a1af8e8297ef4c3efbcdba.html b/tensorwrapper_cxx_api/dir_68267d1309a1af8e8297ef4c3efbcdba.html index baf2e467..b443f26a 100644 --- a/tensorwrapper_cxx_api/dir_68267d1309a1af8e8297ef4c3efbcdba.html +++ b/tensorwrapper_cxx_api/dir_68267d1309a1af8e8297ef4c3efbcdba.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    diff --git a/tensorwrapper_cxx_api/dir_6a4f40dd92881343dc355cb269717bbc.html b/tensorwrapper_cxx_api/dir_6a4f40dd92881343dc355cb269717bbc.html index 820137d4..5d560bd0 100644 --- a/tensorwrapper_cxx_api/dir_6a4f40dd92881343dc355cb269717bbc.html +++ b/tensorwrapper_cxx_api/dir_6a4f40dd92881343dc355cb269717bbc.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    diff --git a/tensorwrapper_cxx_api/dir_6bc4b8a678f57df57aa7b525c30dc0f4.html b/tensorwrapper_cxx_api/dir_6bc4b8a678f57df57aa7b525c30dc0f4.html index d6a0f88f..4c66d0a6 100644 --- a/tensorwrapper_cxx_api/dir_6bc4b8a678f57df57aa7b525c30dc0f4.html +++ b/tensorwrapper_cxx_api/dir_6bc4b8a678f57df57aa7b525c30dc0f4.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    diff --git a/tensorwrapper_cxx_api/dir_76201cc85d9781b2c21bcbd099393a93.html b/tensorwrapper_cxx_api/dir_76201cc85d9781b2c21bcbd099393a93.html index aa71ecd4..908355db 100644 --- a/tensorwrapper_cxx_api/dir_76201cc85d9781b2c21bcbd099393a93.html +++ b/tensorwrapper_cxx_api/dir_76201cc85d9781b2c21bcbd099393a93.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    diff --git a/tensorwrapper_cxx_api/dir_7c3c95e4d293030b4c043e30c0c582e6.html b/tensorwrapper_cxx_api/dir_7c3c95e4d293030b4c043e30c0c582e6.html index 2985abce..8e8c0297 100644 --- a/tensorwrapper_cxx_api/dir_7c3c95e4d293030b4c043e30c0c582e6.html +++ b/tensorwrapper_cxx_api/dir_7c3c95e4d293030b4c043e30c0c582e6.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    diff --git a/tensorwrapper_cxx_api/dir_7d9f54af77c327bb07b78871c465ff60.html b/tensorwrapper_cxx_api/dir_7d9f54af77c327bb07b78871c465ff60.html index f9735d43..0e81c0e0 100644 --- a/tensorwrapper_cxx_api/dir_7d9f54af77c327bb07b78871c465ff60.html +++ b/tensorwrapper_cxx_api/dir_7d9f54af77c327bb07b78871c465ff60.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    diff --git a/tensorwrapper_cxx_api/dir_8b3afd173d473129b279aff842139364.html b/tensorwrapper_cxx_api/dir_8b3afd173d473129b279aff842139364.html index 0c83ef8e..21fcc711 100644 --- a/tensorwrapper_cxx_api/dir_8b3afd173d473129b279aff842139364.html +++ b/tensorwrapper_cxx_api/dir_8b3afd173d473129b279aff842139364.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    diff --git a/tensorwrapper_cxx_api/dir_90f75595a9dc81fa976238fda279febe.html b/tensorwrapper_cxx_api/dir_90f75595a9dc81fa976238fda279febe.html index d2f943d1..9068553b 100644 --- a/tensorwrapper_cxx_api/dir_90f75595a9dc81fa976238fda279febe.html +++ b/tensorwrapper_cxx_api/dir_90f75595a9dc81fa976238fda279febe.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    diff --git a/tensorwrapper_cxx_api/dir_9aa77ef16e8bcc018274450a9bca8594.html b/tensorwrapper_cxx_api/dir_9aa77ef16e8bcc018274450a9bca8594.html index 84e42e59..90e4e608 100644 --- a/tensorwrapper_cxx_api/dir_9aa77ef16e8bcc018274450a9bca8594.html +++ b/tensorwrapper_cxx_api/dir_9aa77ef16e8bcc018274450a9bca8594.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    diff --git a/tensorwrapper_cxx_api/dir_a3117351ea9a883ecfd9291c2ea198c1.html b/tensorwrapper_cxx_api/dir_a3117351ea9a883ecfd9291c2ea198c1.html index e80e1283..230a1640 100644 --- a/tensorwrapper_cxx_api/dir_a3117351ea9a883ecfd9291c2ea198c1.html +++ b/tensorwrapper_cxx_api/dir_a3117351ea9a883ecfd9291c2ea198c1.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    diff --git a/tensorwrapper_cxx_api/dir_a3ef7787234d276598f190de2d036010.html b/tensorwrapper_cxx_api/dir_a3ef7787234d276598f190de2d036010.html index c9905aa3..cc1180c4 100644 --- a/tensorwrapper_cxx_api/dir_a3ef7787234d276598f190de2d036010.html +++ b/tensorwrapper_cxx_api/dir_a3ef7787234d276598f190de2d036010.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    diff --git a/tensorwrapper_cxx_api/dir_b851f65e215a286503163f79cf545269.html b/tensorwrapper_cxx_api/dir_b851f65e215a286503163f79cf545269.html index fb589263..e758111c 100644 --- a/tensorwrapper_cxx_api/dir_b851f65e215a286503163f79cf545269.html +++ b/tensorwrapper_cxx_api/dir_b851f65e215a286503163f79cf545269.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    diff --git a/tensorwrapper_cxx_api/dir_bdd93c5f6f8ed155dab40afc437ac083.html b/tensorwrapper_cxx_api/dir_bdd93c5f6f8ed155dab40afc437ac083.html new file mode 100644 index 00000000..17a6cd60 --- /dev/null +++ b/tensorwrapper_cxx_api/dir_bdd93c5f6f8ed155dab40afc437ac083.html @@ -0,0 +1,79 @@ + + + + + + + +tensorwrapper: src/tensorwrapper/sparsity Directory Reference + + + + + + + + + +
    +
    + + + + + + +
    +
    tensorwrapper +  0.0.38 +
    +
    +
    + + + + + + + + +
    +
    + + +
    + +
    + + +
    +
    +
    +
    sparsity Directory Reference
    +
    +
    +
    + +
    +Generated by doxygen 1.9.1 +
    + + diff --git a/tensorwrapper_cxx_api/dir_c211ed982e4850870a1d17c6935f753d.html b/tensorwrapper_cxx_api/dir_c211ed982e4850870a1d17c6935f753d.html index 73cfc136..13b23fff 100644 --- a/tensorwrapper_cxx_api/dir_c211ed982e4850870a1d17c6935f753d.html +++ b/tensorwrapper_cxx_api/dir_c211ed982e4850870a1d17c6935f753d.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    diff --git a/tensorwrapper_cxx_api/dir_c2cb061ec8f9f9671fc1c8360a7a9301.html b/tensorwrapper_cxx_api/dir_c2cb061ec8f9f9671fc1c8360a7a9301.html index 49294a59..52762e41 100644 --- a/tensorwrapper_cxx_api/dir_c2cb061ec8f9f9671fc1c8360a7a9301.html +++ b/tensorwrapper_cxx_api/dir_c2cb061ec8f9f9671fc1c8360a7a9301.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    @@ -70,6 +70,12 @@
    detail_ Directory Reference

    + + + + +

    +Files

    file  dsl_base.ipp
     
    diff --git a/tensorwrapper_cxx_api/dir_c8a35d51a929fbc21e8cdaea143f2007.html b/tensorwrapper_cxx_api/dir_c8a35d51a929fbc21e8cdaea143f2007.html index 83875112..59c6f8bc 100644 --- a/tensorwrapper_cxx_api/dir_c8a35d51a929fbc21e8cdaea143f2007.html +++ b/tensorwrapper_cxx_api/dir_c8a35d51a929fbc21e8cdaea143f2007.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    diff --git a/tensorwrapper_cxx_api/dir_c9230bacb3ac6fa15114b97aeb5f98de.html b/tensorwrapper_cxx_api/dir_c9230bacb3ac6fa15114b97aeb5f98de.html index af138633..85487cdf 100644 --- a/tensorwrapper_cxx_api/dir_c9230bacb3ac6fa15114b97aeb5f98de.html +++ b/tensorwrapper_cxx_api/dir_c9230bacb3ac6fa15114b97aeb5f98de.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    diff --git a/tensorwrapper_cxx_api/dir_d44c64559bbebec7f509842c48db8b23.html b/tensorwrapper_cxx_api/dir_d44c64559bbebec7f509842c48db8b23.html index 14c9607d..79e3190f 100644 --- a/tensorwrapper_cxx_api/dir_d44c64559bbebec7f509842c48db8b23.html +++ b/tensorwrapper_cxx_api/dir_d44c64559bbebec7f509842c48db8b23.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    diff --git a/tensorwrapper_cxx_api/dir_f3116568fd16e4754ad4c6036dad69b2.html b/tensorwrapper_cxx_api/dir_f3116568fd16e4754ad4c6036dad69b2.html index 15728e98..2fa97d4e 100644 --- a/tensorwrapper_cxx_api/dir_f3116568fd16e4754ad4c6036dad69b2.html +++ b/tensorwrapper_cxx_api/dir_f3116568fd16e4754ad4c6036dad69b2.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    diff --git a/tensorwrapper_cxx_api/dir_fed4bdc40aaa0dda36bfd9f4578476c1.html b/tensorwrapper_cxx_api/dir_fed4bdc40aaa0dda36bfd9f4578476c1.html index e8f9d83e..57d75750 100644 --- a/tensorwrapper_cxx_api/dir_fed4bdc40aaa0dda36bfd9f4578476c1.html +++ b/tensorwrapper_cxx_api/dir_fed4bdc40aaa0dda36bfd9f4578476c1.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    diff --git a/tensorwrapper_cxx_api/dsl_8hpp_source.html b/tensorwrapper_cxx_api/dsl_8hpp_source.html index 8bc63c0a..0e17972d 100644 --- a/tensorwrapper_cxx_api/dsl_8hpp_source.html +++ b/tensorwrapper_cxx_api/dsl_8hpp_source.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    diff --git a/tensorwrapper_cxx_api/dsl__base_8hpp_source.html b/tensorwrapper_cxx_api/dsl__base_8hpp_source.html new file mode 100644 index 00000000..7fbfd8a3 --- /dev/null +++ b/tensorwrapper_cxx_api/dsl__base_8hpp_source.html @@ -0,0 +1,255 @@ + + + + + + + +tensorwrapper: include/tensorwrapper/detail_/dsl_base.hpp Source File + + + + + + + + + +
    +
    + + + + + + +
    +
    tensorwrapper +  0.0.38 +
    +
    +
    + + + + + + + + +
    +
    + + +
    + +
    + + +
    +
    +
    +
    dsl_base.hpp
    +
    +
    +
    1 /*
    +
    2  * Copyright 2024 NWChemEx-Project
    +
    3  *
    +
    4  * Licensed under the Apache License, Version 2.0 (the "License");
    +
    5  * you may not use this file except in compliance with the License.
    +
    6  * You may obtain a copy of the License at
    +
    7  *
    +
    8  * http://www.apache.org/licenses/LICENSE-2.0
    +
    9  *
    +
    10  * Unless required by applicable law or agreed to in writing, software
    +
    11  * distributed under the License is distributed on an "AS IS" BASIS,
    +
    12  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    +
    13  * See the License for the specific language governing permissions and
    +
    14  * limitations under the License.
    +
    15  */
    +
    16 
    +
    17 #pragma once
    +
    18 #include <tensorwrapper/detail_/polymorphic_base.hpp>
    +
    19 #include <tensorwrapper/dsl/labeled.hpp>
    +
    20 
    +
    21 namespace tensorwrapper::detail_ {
    +
    22 
    +
    34 template<typename DerivedType, typename StringType = std::string>
    +
    35 class DSLBase {
    +
    36 public:
    +
    38  using dsl_value_type = DerivedType;
    +
    39 
    +
    41  using dsl_const_value_type = const dsl_value_type;
    +
    42 
    +
    44  using dsl_reference = dsl_value_type&;
    +
    45 
    +
    47  using dsl_const_reference = const dsl_value_type&;
    +
    48 
    +
    50  using dsl_pointer = std::unique_ptr<dsl_value_type>;
    +
    51 
    +
    53  using string_type = StringType;
    +
    54 
    +
    56  using labeled_type = dsl::Labeled<dsl_value_type, string_type>;
    +
    57 
    +
    59  using labeled_const_type = dsl::Labeled<dsl_const_value_type, string_type>;
    +
    60 
    +
    62  using label_type = typename labeled_type::label_type;
    +
    63 
    +
    65  using const_labeled_reference = const labeled_const_type&;
    +
    66 
    +
    68  virtual ~DSLBase() noexcept = default;
    +
    69 
    +
    88  template<typename LabelType>
    +
    89  labeled_type operator()(LabelType&& labels) {
    +
    90  label_type this_labels(std::forward<LabelType>(labels));
    +
    91  return labeled_type(downcast_(), std::move(this_labels));
    +
    92  }
    +
    93 
    +
    108  template<typename LabelType>
    +
    109  labeled_const_type operator()(LabelType&& labels) const {
    +
    110  label_type this_labels(std::forward<LabelType>(labels));
    +
    111  return labeled_const_type(downcast_(), std::move(this_labels));
    +
    112  }
    +
    113 
    +
    114  // -------------------------------------------------------------------------
    +
    115  // -- BLAS-Like Operations
    +
    116  // -------------------------------------------------------------------------
    +
    117 
    +
    132  template<typename LabelType>
    +
    133  dsl_reference addition_assignment(LabelType&& this_labels,
    +
    134  const_labeled_reference lhs,
    +
    135  const_labeled_reference rhs);
    +
    136 
    +
    152  template<typename LabelType>
    +
    153  dsl_reference subtraction_assignment(LabelType&& this_labels,
    +
    154  const_labeled_reference lhs,
    +
    155  const_labeled_reference rhs);
    +
    156 
    +
    173  template<typename LabelType>
    +
    174  dsl_reference multiplication_assignment(LabelType&& this_labels,
    +
    175  const_labeled_reference lhs,
    +
    176  const_labeled_reference rhs);
    +
    177 
    +
    203  template<typename LabelType>
    +
    204  dsl_reference permute_assignment(LabelType&& this_labels,
    +
    205  const_labeled_reference rhs);
    +
    206 
    +
    218  template<typename ScalarType>
    +
    219  dsl_reference scalar_multiplication(ScalarType&& scalar) {
    +
    220  return scalar_multiplication_(std::forward<ScalarType>(scalar));
    +
    221  }
    +
    222 
    +
    223 protected:
    +
    225  virtual dsl_reference addition_assignment_(label_type this_labels,
    +
    226  const_labeled_reference lhs,
    +
    227  const_labeled_reference rhs) {
    +
    228  throw std::runtime_error("Addition assignment NYI");
    +
    229  }
    +
    230 
    +
    232  virtual dsl_reference subtraction_assignment_(label_type this_labels,
    +
    233  const_labeled_reference lhs,
    +
    234  const_labeled_reference rhs) {
    +
    235  throw std::runtime_error("Subtraction assignment NYI");
    +
    236  }
    +
    237 
    +
    239  virtual dsl_reference multiplication_assignment_(
    +
    240  label_type this_labels, const_labeled_reference lhs,
    +
    241  const_labeled_reference rhs) {
    +
    242  throw std::runtime_error("Multiplication assignment NYI");
    +
    243  }
    +
    244 
    +
    246  virtual dsl_reference permute_assignment_(label_type this_labels,
    +
    247  const_labeled_reference rhs) {
    +
    248  throw std::runtime_error("Permute assignment NYI");
    +
    249  }
    +
    250 
    +
    252  dsl_reference scalar_multiplication_(double scalar) {
    +
    253  throw std::runtime_error("Scalar multiplication NYI");
    +
    254  }
    +
    255 
    +
    256 private:
    +
    258  void assert_indices_match_rank_(const_labeled_reference other) const {
    +
    259  const auto rank = other.object().rank();
    +
    260  const auto n = other.labels().size();
    +
    261  if(rank == n) return;
    +
    262  throw std::runtime_error(
    +
    263  std::to_string(n) + " dummy indices is incompatible with an object"
    +
    264  " with rank " = std::to_string(rank));
    +
    265  }
    +
    266 
    +
    268  void assert_is_subset_(const label_type& output,
    +
    269  const label_type& input) const {
    +
    270  if(output.intersection(input).size() < output.unique_index_size())
    +
    271  throw std::runtime_error(
    +
    272  "Output indices must be a subset of input indices");
    +
    273  }
    +
    274 
    +
    276  void assert_is_permutation_(const label_type& lhs,
    +
    277  const label_type& rhs) const {
    +
    278  if(lhs.is_permutation(rhs)) return;
    +
    279  throw std::runtime_error(
    +
    280  "Dummy indices are not related via permutation.");
    +
    281  }
    +
    282 
    +
    284  decltype(auto) downcast_() { return static_cast<dsl_reference>(*this); }
    +
    285 
    +
    287  decltype(auto) downcast_() const {
    +
    288  return static_cast<dsl_const_reference>(*this);
    +
    289  }
    +
    290 };
    +
    291 
    +
    292 } // namespace tensorwrapper::detail_
    +
    293 
    +
    294 #include "dsl_base.ipp"
    +
    tensorwrapper::detail_::DSLBase
    Code factorization for objects that are composable via the DSL.
    Definition: dsl_base.hpp:35
    +
    tensorwrapper::detail_::DSLBase::permute_assignment_
    virtual dsl_reference permute_assignment_(label_type this_labels, const_labeled_reference rhs)
    Derived class should overwrite to implement permute_assignment.
    Definition: dsl_base.hpp:246
    +
    tensorwrapper::detail_::DSLBase::labeled_type
    dsl::Labeled< dsl_value_type, string_type > labeled_type
    Type of a labeled object.
    Definition: dsl_base.hpp:56
    +
    tensorwrapper::detail_::DSLBase::dsl_pointer
    std::unique_ptr< dsl_value_type > dsl_pointer
    Type of a pointer to an object of type dsl_value_type.
    Definition: dsl_base.hpp:50
    +
    tensorwrapper::detail_::DSLBase::addition_assignment_
    virtual dsl_reference addition_assignment_(label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs)
    Derived class should overwrite to implement addition_assignment.
    Definition: dsl_base.hpp:225
    +
    tensorwrapper::detail_::DSLBase::~DSLBase
    virtual ~DSLBase() noexcept=default
    Polymorphic no-throw defaulted dtor.
    +
    tensorwrapper::detail_::DSLBase::scalar_multiplication
    dsl_reference scalar_multiplication(ScalarType &&scalar)
    Scales *this by scalar.
    Definition: dsl_base.hpp:219
    +
    tensorwrapper::detail_::DSLBase::labeled_const_type
    dsl::Labeled< dsl_const_value_type, string_type > labeled_const_type
    Type of a labeled read-only object (n.b. labels are mutable)
    Definition: dsl_base.hpp:59
    +
    tensorwrapper::detail_::DSLBase::multiplication_assignment_
    virtual dsl_reference multiplication_assignment_(label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs)
    Derived class should overwrite to implement multiplication_assignment.
    Definition: dsl_base.hpp:239
    +
    tensorwrapper::detail_::DSLBase::subtraction_assignment
    dsl_reference subtraction_assignment(LabelType &&this_labels, const_labeled_reference lhs, const_labeled_reference rhs)
    Set this to the result of lhs - rhs.
    +
    tensorwrapper::detail_::DSLBase::operator()
    labeled_const_type operator()(LabelType &&labels) const
    Associates labels with the modes of *this.
    Definition: dsl_base.hpp:109
    +
    tensorwrapper::detail_::DSLBase::scalar_multiplication_
    dsl_reference scalar_multiplication_(double scalar)
    Derived class should overwrite to implement scalar_multiplication.
    Definition: dsl_base.hpp:252
    +
    tensorwrapper::detail_::DSLBase::subtraction_assignment_
    virtual dsl_reference subtraction_assignment_(label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs)
    Derived class should overwrite to implement subtraction_assignment.
    Definition: dsl_base.hpp:232
    +
    tensorwrapper::detail_::DSLBase::label_type
    typename labeled_type::label_type label_type
    Type of parsed labels.
    Definition: dsl_base.hpp:62
    +
    tensorwrapper::detail_::DSLBase::permute_assignment
    dsl_reference permute_assignment(LabelType &&this_labels, const_labeled_reference rhs)
    Sets *this to a permutation of rhs.
    +
    tensorwrapper::detail_::DSLBase::addition_assignment
    dsl_reference addition_assignment(LabelType &&this_labels, const_labeled_reference lhs, const_labeled_reference rhs)
    Set this to the result of lhs + rhs.
    +
    tensorwrapper::detail_::DSLBase::dsl_reference
    dsl_value_type & dsl_reference
    Type of a reference to an object of type dsl_value_type.
    Definition: dsl_base.hpp:44
    +
    tensorwrapper::detail_::DSLBase::multiplication_assignment
    dsl_reference multiplication_assignment(LabelType &&this_labels, const_labeled_reference lhs, const_labeled_reference rhs)
    Set this to the result of lhs * rhs.
    +
    tensorwrapper::detail_::DSLBase::string_type
    StringType string_type
    Type used for representing the dummy indices as a string.
    Definition: dsl_base.hpp:53
    +
    tensorwrapper::detail_::DSLBase::dsl_value_type
    DerivedType dsl_value_type
    Type of the derived class.
    Definition: dsl_base.hpp:38
    +
    tensorwrapper::detail_::DSLBase::dsl_const_reference
    const dsl_value_type & dsl_const_reference
    Type of a read-only reference to an object of type dsl_value_type.
    Definition: dsl_base.hpp:47
    +
    tensorwrapper::detail_::DSLBase::const_labeled_reference
    const labeled_const_type & const_labeled_reference
    Type of a read-only reference to a labeled_type object.
    Definition: dsl_base.hpp:65
    +
    tensorwrapper::detail_::DSLBase::dsl_const_value_type
    const dsl_value_type dsl_const_value_type
    Type of a read-only object of type dsl_value_type.
    Definition: dsl_base.hpp:41
    +
    tensorwrapper::dsl::Labeled
    Represents an object whose modes are assigned dummy indices.
    Definition: labeled.hpp:41
    +
    tensorwrapper::dsl::Labeled::label_type
    dsl::DummyIndices< string_type > label_type
    Type of the object managing the parsed index labels.
    Definition: labeled.hpp:93
    +
    dsl_base.ipp
    +
    tensorwrapper::detail_
    Inline utilities and functions needed to implement the TensorWrapper library, but not considered part...
    Definition: detail_.hpp:23
    +
    + +
    +Generated by doxygen 1.9.1 +
    + + diff --git a/tensorwrapper_cxx_api/dsl__base_8ipp.html b/tensorwrapper_cxx_api/dsl__base_8ipp.html new file mode 100644 index 00000000..8c960c84 --- /dev/null +++ b/tensorwrapper_cxx_api/dsl__base_8ipp.html @@ -0,0 +1,140 @@ + + + + + + + +tensorwrapper: include/tensorwrapper/detail_/dsl_base.ipp File Reference + + + + + + + + + +
    +
    + + + + + + +
    +
    tensorwrapper +  0.0.38 +
    +
    +
    + + + + + + + + +
    +
    + + +
    + +
    + + +
    +
    +
    +Namespaces | +Macros
    +
    +
    dsl_base.ipp File Reference
    +
    +
    +
    +This graph shows which files directly or indirectly include this file:
    +
    +
    + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
    +
    + + + + + + + +

    +Namespaces

     tensorwrapper
     Contains the components of the TensorWrapper library.
     
     tensorwrapper::detail_
     Inline utilities and functions needed to implement the TensorWrapper library, but not considered part of the public API.
     
    + + + + + +

    +Macros

    +#define TPARAMS   template<typename DerivedType, typename StringType>
     
    +#define DSL_BASE   DSLBase<DerivedType, StringType>
     
    +

    Detailed Description

    +

    Contains inline implementations for the DSLBase class. This file is meant only for inclusion by dsl_base.hpp.

    +
    + +
    +Generated by doxygen 1.9.1 +
    + + diff --git a/tensorwrapper_cxx_api/dsl__base_8ipp__dep__incl.map b/tensorwrapper_cxx_api/dsl__base_8ipp__dep__incl.map new file mode 100644 index 00000000..1872af3f --- /dev/null +++ b/tensorwrapper_cxx_api/dsl__base_8ipp__dep__incl.map @@ -0,0 +1,32 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/tensorwrapper_cxx_api/dsl__base_8ipp__dep__incl.md5 b/tensorwrapper_cxx_api/dsl__base_8ipp__dep__incl.md5 new file mode 100644 index 00000000..8efa084f --- /dev/null +++ b/tensorwrapper_cxx_api/dsl__base_8ipp__dep__incl.md5 @@ -0,0 +1 @@ +a3744c5d1a45fe0b1167fb903a6845c5 \ No newline at end of file diff --git a/tensorwrapper_cxx_api/dsl__base_8ipp__dep__incl.png b/tensorwrapper_cxx_api/dsl__base_8ipp__dep__incl.png new file mode 100644 index 0000000000000000000000000000000000000000..91a548bc2a0304b37112e0e04b0620e4d94438de GIT binary patch literal 180615 zcmeFZgFH4f`w9&21Tro*X z(sNRZEcO;X-92`<@j86_3k=!%^xC@i)9E8U$=N)O>9Cpc6#7e9`g;5AzKqd`OI%== z#nqI(A^bCbl00yin87D%)@5qjgU92_u2<&XdNh6Dt0^H2$S0w|3GUmU2 z!LShtr~ALZTuU@K^RHiQFdkt4>t~;HW4YJh7qk51qXP}nGnMI00R-?JdEVv~vt%Dj z-Zl8e>|x`h{$fLky#sjBg~GP>_WpQY_ixPx$m;}5E5j~eV5nw$pByial;sRO#;CbU z%=SA%MZ1U#*)fdIm;XrOBR`DT8o$PFio5V2c*QqI?0__LoO zlQ77;JC;&n+@<`S2K}m^l2mXMK7CZykI$kXkPSI~;NxR`KQfO$Pjd9b+q#p4%G`IY z0&g>mj zw->vFg+(rx({iSc*WOe2-BqQd{cTp=ujk7wN0mdvV`FpFN{md~BI#ROTI5jqTH8bV z!CA_A>M9mBunTUhRr9zwICsTbVWWJ`oGaC9!Wzie(#VjG>m9Xj$V*M7fSt^dN#JW5 z>}qRM(A50IW;v3&Ip39|l%wpn(L(9iMqe=$HC${MaPR(oR>M}@mC*_r>-xR)36D*w zGLs%bW}|j0N8&Wnwca#|GM9C|I8J*JU0q!wey`dXR`Z8qt*x!S4aeJzD`Qm(p$;f5 z=Y{oVa+NqP$K}zW_wV}|8xE5_4|W#vYgXmO#ox_!#8Qgw|4s>Jv7X@Zg!eZaDopY^ z+E(E`+UirU_o&j;(kf6rS;$BjgsYc2E-BykOVY5addlm*qbMo){z@ZNc^9lIEj5*j zit3pR&-&}t%9$Xhz^GXdt@tdB3ag-#v*`1(xxI>5qV!5mL4EJka6O1lqik=1cgkzTb>pd*$Yb)En4XSdfwnRvSE*ROXZ@aq&b9Pi^Pc-F0d zC+2e7%A9bWC#6>}eO58ymh(_5#-Quok#@1e@9rmzbz7ldzkX%0ofgj1Y0yUYY?CeD zvDVbo)NQS9cWXL;(QI#HmWbOaw|;Mq_`vPtX!0ZvY@?~E$#kwg8aY1mf;#18LO9wq zQF2d39glV2c(+ArQeHR3+qZ9rrp9qQ({OMMY4{4zKWrt;X;3wLhFwo-I4Sf$hugq##GD9QOXVurCbibZN?8c zoR&X^hK6qKHk@dAd3j-7xzZ2YyfPCV9X(QMn-cFjcbnB>NOodk0$Fwt8E^J0%ciUaf184XFZ~W@w)zF592KY^J z(M7EbRmOylOR_j08LnVpaIo_8^B;7@$H#}J9v*stX^S&3Fu;20cKMi?nZc3r^bYoC zocj9u9vo@=Xs-TUpD`OL%__GXO^4%zl^tXsP_?n8nv+}0%6K>+9!7bN{|jety1Lcj61r@x;VC2Swu!eNv&RK0ZEr2Z3+jcEjRkmzHw)j}~Oi zChO}a+}C(#XJ<`!SH}@I4xsnm+b3qT=!X4D?(bLBsR_MDeIOC}1BFrv zBxYwQKO{%-+t0mEmyAwU(RO`0H8r)dvC*56;N{ljpzF;O9Hs5N*q_zEUL0T07JM05 zmCw6xweUltI@YC2vTv@DZVhT!FZ`Kmij$5cda1p=z5SJnNfy&y z3Orog%*@PZqve*gY)WbnuN{AWJ_GBFFeOeK2CJK%o_5&!Er*AX-)dB{Fx?bTJZyo) zIrR#wJm(45X1<7#ljF6MY%t-S8rA%Cu%OnCjscX8w`Bqm-MxE)*aQrxLsEa_{54c~<9DP2Pj$5-vCtK|w(lgC94lYHF66$-ToH8oY}ZsxMw8 zN;U0EH(lsWL!9ybZD#Q?5z~=U)0AJo45U7B$Wh9~E85r;YJ2S&!rcsSo*Yb`3}(uu z7!dl6l$mEVley=9v#hSEK~j^rw6yZGXKyL8EJw@Liw(rG9!P+bvKX}!N<}k09UdNr zw@`>;&?<$Dsn@o>I3QtbYb!1$CI=1%@i0(NAvuCYJAMJM+;ywTIw&kM2>@(&Cg`26CWBZO=&7Hu^)i=jls_B!oEiajxrMfNJXm$9 zY2U**esAqO^|IbD8NMteF^5sg4Ay%dY|X`5FMXrB7VBh_C2d}5a2Ua^EjXK3H4{CEcUsl}>cI)h%U;speH$!DlGOfm|W0;MDkf;o?U@r9b@6PzCt|apvbMGkB;{5X4JI4-@(NR8JSrd{ z03cKP8#1?NvFz6Q8;6ii?CkBsDk>^?cz6&{4X+=Z@`Q|`f#3&t99)*d+uIv{%Nk-* z;YPN0mn4c+L#_B6vYWEeXuQo)2Tqs;PPwtOGYE(Yo$#EQ&tJSa;w>#B6GZ{xd+pr{ z3BQ-7R4iNFA|K*6GJJc&Sy@@tHd8Mtl!p2hQDF_bjeapKrlAwwC!TST+pXf+dPQAh#FeB;jpFh2_!xbEa&_nf}}=w-`=_6eAvbcy#1A_4NW^ zl;MDP5<2@5@(>#!itrsQGw<#1Ydg9#Ff>{3@czg2k?puNsO0J;wm4Lj0!fRikEP6M zMV)v3+b#8Khb$gm-U9c@C~IzBUM)!UG<}bCXhqdJZC#5a97&Kp@oD{zIQ-`DHrCfeYHDhBmWNZ2@+j0BjNx5CKp$A7lBy~dSR!CKNGhDA zC$nu)OOOrat*r8I-nv_00pMV;xvfo}V=~`@$X2!aFx#z=O zpvBm@a#Z4z zSNU8{05nz9k9&6x#_YS4TD?wREp{4_<-p!by^i*YN+#dkBp^`9w?*CqBl~QhFZy-J zFaNXPL>`5&(+WBBA`_EcL`aCaBOpxpGQ))myKnIZ+^P}N6(M?!a!9KU19G1xvJ@(Q zJi0Pa;61iTCC$jptN=g&hdd1ZMrpPsT=2)4Rr}jZ#*VMe?z6HAg!b3EhBS$NN`Svt zFSjr~eFL9cKc$h%n6kpS>#^e+pH%2p2YXlM(*S{hTj)#4GM|>tl)J;mHE_~2&dw@u z7j28D39O$GUF1u*vq;ga6$@Rs@RWv%syF%RsB7dU~ULyteXMf8{FWKhcgtCUt z9~>E^+}G3y(9io2{qww549)UQxVGocZ3Vy6cg92S>L*3rB&oK@75OJmLXPTQzPv}T zRjuIb%Z7crR9R+pHP4Z?RzI3kV$7(yemq=4P-;8Fhkf((G9~}Kz_87!wPU3<*nV}@ zFOq)L^vON+4VvL2VFZIRJV7T@DaT7$SGNaG|H1{fJk7l@22HBMJGapz)2$O~0I6Ftyd`>F}JVy?qcn?nts<|Yj?6hH; z@0>L~+UKRAE7h`(PQDjASa2c*k16S*?GfW&cT-|E&_zR4>GZ`;4A!ljw_kbCu5NcaK;nT|LEVmQ(e6@zR@(lyXEq)2>5cox4j>z0gb;_PAQPnpZ~GQ(_j9bvq2xs=@TRZE$9Uzzx~8O zZ{_I||KBXj>1+P~w}5^4w~hMTu?P<(&Z(E0gbd(h2SUvz_Nnh3%k$3|Irq_!eEjrp--HneL+*W8G;kUd1vt@OsTfk{z6<1o1kg(rTnOI@Q40g{q|c_Bd|IlI zDv-(wa z^)Zyxc%-ECjgNj!PbYu)aH9^w43kvJ5TB0A)CI@YF*R5{*7fTs;K|x}v?KqYg5Ac< ze!g=6(1hdRUt3^4C57HxEAtNFM~Z=wG6`Ch{C>cKcsMvo04=yn698Of0|NoY)ZjZj z+We1;=0kWN@dMHV0Br!W ze*rwk#3T<0ER2Gb!$x4z>mcv=Xw94U(IeSFBG%rTwfY<&MdcS37IrN8kN?gf zKonR{r2=hU-#2d%tLAcE{e_O=8u$1#fEL-q>M{@)yn_SJ!g@eW@C2d%$c2py4qR_F(|-+#rpv7 z3;0`o)iX6Mt);m+W2pYPavV+5y?pr+0N0hq4>>tGKs{xErHO?iZN|BbH4xEORR18Z|f%~Xs#c(r273^Yw;UZM6gZWxH zV4*p1(Z%7CjKMsO3~*G0pOGuptUm^p1CNX>A4q|=M^}(T1t)Kc1S(+xui&Jzz3h9N zTRlV9dF1Q`o+cydc0fMtp%mcg)bQ|dCi=D6*|gePo`a?L@2?zmefjbQ7$A?LT?XD* z;ZWfG=?Dl2;&@!;(@pUY`T&QDHOSyOEf|a0*-{@r&ZQfrk}A-yD|Op8gR(~oh*X4U zK)4o>K%%U|!fw9pD2fM^loFvttY!w@U60=DjV>W;f<>^J5B>&XP6^;4E+Jtia6O_3 zcL_0G&SH;0-+TJo<*P(2&k(k_x33Spj>U7|;ec6_p-M4Q(+)_a3z(QuXr6BGF*<&q z_8bJt9G3DbXt=o4!Dsuysj?A|YrM|iPoU#rJ1{#691B=CEri!M*U1OJ`QKX6hw2LG zu`n|4Lt7w-79l0L0f`f^lH2|52@oXz^5t2C&SPYhVT+Z5T2BdfW(yh;)KD!!vFA4JPuZU$ zdL91$Pt551ckgXS-YqmtqLnGR~HwPrNO)yKF@u;wz`w! zgMElb5pi*O6_Z{XaN>)j71miZv%ETJA6Gn&F6=Fvnwt@Rs2W~BP-?1xbRED;x|E_k zH#^uJH-3p-xNw0QcIrCsmTb{F&||Z|ej$DhkqxS5)uMH{r9~v{1(WgOLNH&SX*P$H zfbiZ>)!>qlXj)X~BZL{Sx}i}~QIHcQ#zjn5>kq7e0nCDOJ6ok7K3ygu|7iez7Nmxq zLxdHFg&<)Uh}(`h?uu`gZa}5d(1@3r4amcVD8!Je1l&l)tOZiTtvc`oq>e%&OR)Fh z%sYD;u@uqZL5P2upFayAod<~J2(K3Xz0JPY_|{uhb$)5sBda?uKs z!T-x*{e^x`8!MWw@EJfuNJWkR0tgW+%ne8VfwTWayXvjP(8g!~?mBbolc1ssA=eH36lzDQRN+5uExjd0u>+uKS&YHdT-!q;GnU4? zn}!e)22aKSDFePc!Z(;MMO^piD>kZKedM&biZ}&RWq7p8RA9TIEH*y{2C|hTT3TAv zi}afC6ugmSf3UlT^1Djx@aqQ-(y9UfD6n9Q#b?mWeEarN2M~(sre?5vp{W2#1k+8k z6B7j_q8J7~aoU$Y|MHTitHFAb4{5W#3l2sB`^y5fkKL>bz!RkHmj)^C=jRtlIEJ3a zg9s0#6kj0GX#*MnX_1ivyVK}*wGTR;0TEme4C&kcxpiMO4$NaV?lb|iqI#|VAUrfQ z8332r_xHCECLVem>C$m#I&46q!+9V*NZ^l=R0(Y~2_X1J>fD{P4(uEq2jZM3vJi&^ zf?Fwm5;$)t@sVQ$z7hBK?JTft&f2vi{pM_d4)FK@L^|N&Qz5J4Y0R0yo?jE~T7P}{ z7Se`98cJ~53L+wYfJ>C;at%3=@(=jbbLeEK4t^=Gs2C1WGNrVX1xR+PJ9j?wkr5G@ zo$LY93rz)QzU_AxpxWYMHsG!WSUPH~`9CEmrFedTi`e*d-OOD)DbV*Z`}HFPq3B5_ zoB;?FxOgs9igN+I#^Dxp;?l0ItsRzD&B27(A2Z(Ud>1xYeX%k9rf&bD1SXNfzo|riN$MgbS2xWxs8pw$Pnm7-k@}Nt) z*qasrJ@QToSLjf6#WJ>`0Io6Z)2(Lx)uY@9a_cV0?%#Q%pz1(U%d!a7_ zXs-W}V}>_5rxD->xgckG*`f}3GjRzC1qe?PXa;zer1|^zY#{&fLd$ahp$XCT{m*cu z!42ETYTEnlSX)r=rJbD}E)h{SxI8#f?hqFOp`nqJPsZy8CoVA49E^e{(d@zkwV2z^ zurY*e8bC(~h6C`@qhVc__T<$?=z6J~{B7n(+J|bPCr}_D^@Q8j?<7c>ru$n9NF8T} z%3tX|h7^$pd07sK+ZcZDdJq^;dwZV%GgnHI7B};*U48JhGNK94jY&6k1a?H08JgUX zs;&|~`dN+gT+GV&wXl!{?V!4wp-OzlT{=og7X>M39zTA3Es$HUC;2H6hfU(Ymw*{a z^Z!6mqZ8OLH0Osd(toBRnI1eqopdJV8Yve=lj`CeuTn)}|S2dA|mUNgEF#TbwS z6h#+p)tY^z9EsF$n*Z$VLv$-0?L8R(3qc@z_1CXow3L*Si-hRc_fzrwB?HX{&Ev;C ziOHMW+0+06?~}vwlk(6H6K67r zVZ*~85!Y-6&Mr$qBEf@6WNPX}!*rNtBujzQtZ(jtSnovLaP{8Y2tFl^n$_ylK*Glo z#O$kKsVCvjSM6-G=-DeKPsjkA84!k=iu?LLt=`I+UenPSt!MyU0^fJ^Cge6VL*5f8 z0}!CKv0C44?`-hzn+WbFJGR}szOD;VxfwA0YC!qJbq6Q(kDA@q>L9jBBLi`E%Hq4 z>?*9*UIEGl$8Q9M&Sl@xYErLtiIwaN?=Ui3pI%XJroILAUfu4*qpL*y_3eG%!MJrB zxs>friLcfmBw;9O+!qzeN=(fBW(e;H@%k>X@3n_VONw&E@9ejJ-#+@QpAFefvadgw zpG?kd(KJUt!apY`0CH#Me8QTVSNaeI=qka7NsZ`8ZF8@hY zh;r^;U>-kRlV3kNz5m)xayl+BDN$2XZh0sCzQSsbpJ?6S+1aXkO|90Y=6F5$ zLh-QV(fX}ySeBsBk>jr)rmk+)=083>3nauzOH6bd^hNup0D^xKi8yShb0g`7lY;q1 zQg2aqW-DYEz4Kp4guI`V`6HeGWbZ*7FNkZH-cMpjqO{#rgL!&erhmqnX(OK}mS;Nk}w( zcaod$)Wy$0_doj;(LjuP*dm?HdZOU(Utwey+_pUs8zf@OO(9~<*0C6-R*0l!SmnmU zi-rW#gGtVl417vs@-Mvk4)%ur_qUhwT~^;imzT_anGpgm8U6#>gh1lmg%HtcMOD?* zuY$3#^IJ!|VZRpl4=zy>%+5`2a73{qfvikOpnb?*i{Sh5I57$^rOS z+e(k^yXXf~f+zC2yM4r^)mfcZd2+SuCa7(r8S7o-r=|jPsN|YPYj!KiJRQoF^ABqP zp(srk-@ZKz2(rYeYa;d2Cl5%rA}8BAyFlQ7rV&RwYoLd~PE#(?# z@-i80aNSA|51zar<1DeTNYmA^4i!l}C;yt7STfhtl!r2_8ci)U%3fYmj#6iw*7cI0 zafu23>vpuGQ9V+IEoWgtu)RDy!Z&^z((%xcZ_Gwso~hJkimj=cl7?|Dd9~r>TGKa& zpJ(PzbW5Vm#`hn@@x>`j+ifqp(o&m>2htOiTXH9=m9QV5BD%Nl zrbc=dIYn71gevqQ7DR~ff@8Jyb$`fv4MgnqVnTkx(6M?pP_U-&SWDdcJ@5b^vb&wL zbBL~Hoxo$MSS&0H@n?Svh;*b$xg6w6j4b=V`cAezO6BwX%IfBzGVY|Y{qaml%|2DxXG6UOszz=2n?O%QeVci)bSibsAi$U@zrT zFMHA=&lep%47etCdYWx)E8@k?%m7k&3(s;>(b?wP@gCZoTLIUvqPMjy%XseZK04 zP7Im9eqDJ$VWHsRk-V|Nuy}m1CMzk4>9|T_U9B{Uh7>_AtXMCh@YD0pmy2ns1~fG9 zCY_O6$y`9Yq+`*4vIiCq7s?A421>ZJ1E03YJ2GgUv$dTxT^ZrUx?H8!_(s$e5`nAh zdhK2GmC&6>f#^>>(J8NAud!NdCkK&mra7$$;u4QOz0T7uzPg&P+?=ycrIs5K8kz(r zkt@SD3{5|I?dvz^ztS5UA|G*K1RCVqEDYZw_pTLl-yu<08Vtm})%WB& zFYaAy>vW-N9J%5#LM*Izz@>HV|9oX#W>bo0_eAa@B|4V z((4?*GHO@NsB;g_(W<$DB+Rb(yxGOYf2{gnvghm|Ku4Q%M__3EQ92J7=3>p4ti8<( zrW(1asWRgS)_u%6`ue1f4k{EHye!L1`@EW(JTr>)=d*2RVp;4Ai~&n&^YO(iH=}7! zO-uxlCtm!~-aZIDSQh71{IvA=@)PWROfr+E#>$+_s|L2xnAeRKA-n-mp9j@-kIxxr z)2-h%1DSH3IVosR(~1a{e9Y*msg;me1*n9Fcf7x5Hx9C90A!ozjx36g#PR2yR>v+t zUX@}twvu&oiv$HsB(fWwagDjBfq?1^a)twvPCFMokN2*}@VbWqf&CE#Z>b+YUIUrO zB`B#>Nv}t|4o!0_9F_#Kjtp5KlJ|qSUjpK!++LfMj*oBOLgzAeBIFdZ{f`c0OjgI} z)hqwFLmj(Nf3Vt}66_>5T7FkqR0uE8Aj>N>R2~l^Cz7)E_FTsQn8)E1puS>pE;Y{OSUg zT6RMK0rocFgx^QIs3nw6AE>h5BKZYaK7d8=hKSMjKa*U(g5eVeJMvGy*xzWQ827NZ zJX*0{Vbv232Pl*qgqau$PMQUfXK}J2?w>SjHdg71buB*w_7{n@)sA&}L1-ByD;Clb zw0Q;E`G464h=@hvxL6e+kRESyy_=Gbj9KW_vfP}r4CydZfb2oUTb*N7L;v}7&t&f- ziP+}V{)|vTT`f<4jWaP~*s7}Ma#E%)3b)9Y7#i!y3Vvnt{5w^#!^CzP3R`erB5RUG z!;s1s2F5zw^9d)3!zJvC$oi`t?*lyOZoDq~qpb~bA;=v9`=07wtm}tU08}BJd|$td zze7a1kjQsT4ABL2b!ZDE{@lf%VLDMu4|;|uEbM^(92H_D6FHCJ7&x+UTo%XIwAx)w zLBca2lauRkaXL#P((nqr{*d(iFV1_Y6|$!AD+Aom5b zu{oWf6hXP-&p4t%pL%Ou{bTs~6}24DkucZPI8DgtMU!~!1$#7`1$YVNB{gGT5T z^iTR5yt$EcpZU%X2yFoO0e0)m;hqOlTp_S0G>jP+Z$PrBNUOijT_XK4vf(~A5zCQ% zQe49Ld$Y^CTa?_g-?||!=U;$;Jm^DI6aWI*4!PpQdzvvLkDyY3j-V(~MB&^|W&wY! zt=n5e15Hh&QuMJChdlr=5Xmr}1u_a~%cOu$F3Nag6>|}p-4MrDEIo(G#Ol8D5XK3V z0mvX&i^a)81)W>bS$ymfl7?*ryu6b54lJVP+J|$=y?K)7I*3h%3Z;=<2lQv?$kPv% zRwiAB^eh!0pByALwG3&)9OEwjr5@2WWnp3ce|BmXu9kRZe|N0_^vbHF=h$x$5HMai z|6bPXSa){rIQQ`IzOra_`YECFd67`1sf3IsC{r-xK%-gm7Un4?PmY~)^nYFqP0*o` z>8i;Kl1nDu3>cY?_t+3~{N4R!k!(=Q0kVmfj>G%zXMW8>`o$zDsA>iB_K@mXZHU4`~kk^JR=q z`=`JB4;hHhEx1KRAb1;>$bm2R)BO#)FT9UfHddM{p9gF$kv|g{2Fxh%fO;)T5hMSb z;{{Dp6dFsazJk-HX@NEx9x<`G<9oZypzwv2AYDb^8;3xLgu=7As)-i6JiiLQ_*v=S zS^_?1ua>YXx$@DqMCUv7)n*kcpy?z6w3d8@)i}aALt}kusi2`eIDy+)8tDiCoe$h- z#$)~Ozd<7kl>$hVp+9Nv9Tyq-u<=oNM8pGR7(oT*9-v(_05VFb>M~%Qrlq9^sOJ7k zTYYE@AuT89y)l%xL!*7`=d0^x$OJ-_eTK+;LZFbLYEVnJ40oypdOROtzh`DrpdAD> zw$@G&bSbZr@u)&`wt6;F1ImQp-&+fPP31>0HG(kRQ0WID)&{pe+Ds`G0~DSEFt1|0 zyOZ7p)s9Qqg@u2zml!oGW&cC#B4B0Hmq1%~zB3M)9{BUe1`!Yc5Y<6-9uVpF!0_&%phuWau?d1gP&OIC zEp>o8eTc_)`gQcDPZmI%4~82U85sd98UsB^R`;#nx?~(SpLyJOa`*ZbWTK&;nxUqs zXfSC6eaCiizK`%q7$uln9xe$W)iE8VT5th%t2t=MV?j{Dw7Id-4vLgbAmYod5m5&l zNasv}_wDBaO@M0`@9sw!E248^AZ9UnZZ%OmOh-q@0<%(<)s>YW;WXK#`dIGYzuy5Z zP>=?9fK(A0O&1L0;<8Z1Adc-C0(%hnSKM zZJ+3n5V`dA;!g$UhBVj3jNtHnEen#htoib3^K-H*5%H!ZE&oIAV(K8)*U4e<5r{K0q{NKW)ni=${?Szktpc$LlVwgSV=ah}rNrhyWw|^9 z)>7s@vA@CD6QP{U~nm^o3lTl&_pu5ray@56R|*rG333ou@OoE!!1b11%N9|$(U5_hJZVglP91j zZLX8?P>BKE8LCSNtvV1yAc_fu+!h1%MMQFPvLXz?<*cSaFMq*BNKg>^UuStY+nLRv z%_tH?l9k}KFBS??6&iMScBD^GziL@AZbV-53uGSjky+4IP_J>ygPEuTxM(IQP5{Wp zK_4Of!ynJhEEp(b;yk)rnnyJhDAZ}WMSkyF8!y;1)62382 z=thDXE46)c&7|~X0a`h!lk?vjwn`|fpz+fXP;8OHQs=ha3xN#eS8Rxi3RJjqAPokM zLMpUxNIC7k)mzxv6;ou%rHJh8B4c!Quo83VO(F`D)w*46R+B#`!!>Jv(_4?O|4ewl zDz%$_p;fxgggV8L_D&*|kYB6vm&;hms3j%apLjRcu0Mf?tK5^M@-sogLlf+B(%#lzWI!_wDe!_#OIclfk;2R>f|U` zg(l)7k1NyhUYGYY+*7v+i)xi!niJoVc!Z9o64duE0sP^0ENs$%k!?!O3e4gSK8TaTqM|9awIpU`M4)blmHgS- z5`O;t&RkbQFldMFJ${S>tulPD!ONne&7!OJpMB0Ca2T>)nemP5#B5hiK=x10mGbvV zM3<$m?io){&rjUW*FX*6@!Jc$y9wO%+1)L$C1<_OVRMI$p8m1juV<=iYPz$n5kpn>l#)_XW!tea zF@j05iO}Y>adP?&<0xb`GUv{nyF&N~!_Uv}_e32x#&b|)z_#S9V;4YHn2xos{{lcl z*UBpB0yaL+R?OMY(3M{A5hef9(sCJOBF)fqd~R;8k+UMR;U;%fq*J6Lw>`u@#C~cW zy3fu(x$%wR<=f1v*hji&eco~QJC4Jt>OOz&gGjNKQoXJ`;OV`P zI~*K@wAON;3&O%> zO(Ar`!ir53b?!Nmqk_URK}YX0-Ij@~Wzu?oZY`LkX3Pg@VWH0_9LpUc`rono1BZpyiNG$kPmL~Uayo#hJ4<>oYrYgE)B_jwLwR#wc)WOJGe)Ex=S%hO>C9zA~S6B0tU zwLM!{_~@l3!>g>UGgq!|KYyNxX>Tv|W0vV-^li4mDYPrG5(dHkmZ+#gIDrJV+FS z$DF0gcvmZz6i_qT88O;#V#*bi$}AgL>+;J?cSKk}{7VbaK<>GP1A{&1nVFfFhl*y3 zy5`r`f&qeIdZTTq1Pf-vL5GYat3W{}wRAi~^cyMrCeAF~@YD@(^S?xFgb`F@L5 z=gh1&2kP)a1^f5!OfdQIYEGk9?;o>1a#+o&q9;kS7dYdhwnbmoUP@G+{)&c9d?uMM6TU5m>I>7;|$Xu(A(r<|nor?a`w{$K`x{$;&GtNvDDFk={2fo`dDx zk1VEFjXFl&qO=b#2jH)K<3C=90qv#)NM#L$ZreB(qfYo=z9bFR>@o$BRK57{fl9L~ z^zDxyxZj$M@6pqfS5-ajHZdc(iFRP#Pyu0KR%C$wk=Nm0E`A13h7JL0wpkjae*!TY z;%d08rY7Ad7?N^jijSXw%$86eQVNmS0! zFvts*@2e+Q(U5A^LRFi&L3AlAZA!uV`6Gzq;PLy3=T{^j69@5&(&B1XAJ~9Dc zkwz)73zZ>5t_yi~WC3i7(`4C|#dGR++!Wo1R{-taac~cr=i~2t1;W%X$-mFNk`k0AjoZod$-$ zGZ~qJ9ZpCC7q5{}f%%C)la|H@==~b>(%2~?fxWAf!^3JEAc@^^gQ62d;74cY;A#nj zWqH+hNb9apTH5Saa_`sJ3h9Sb9NZ1GmDLQmB&3tBzk&nWUW%?VQ)b9Mlj$Ouo@RPY z%r5_$R^{gF4<9tX_N0WM|BTz&4@;vW9>?qNRA!;sz+K&i-ny^Na1zj{8kjjFh0 zKWB0Cq4ePsm({8@-;4xphAV`B(tfU;RCQccdloWIlL9 z=eTg4wTu_WB6XYI;f*YT80{9tO@CQg*~B_asKvg*M4s$gbANgsFO7jKm`WPsc)e$h zc;dZFFKxgl-Uvn>B+P)poW;1y#-{8(3LM!53_+-j?p!LvR$J^fiq#;`T0QC>ui^X( zAK##xWZdOFj!j2)O>?A7L$P4qoXXcXO;B1o=>~bi-La~$hY$kpeB$>O<#64IEVQ1) zo7$ahe4VG!b!iEe(0!3JfM5-G!oxoHk@=vA?({eE*O2}$ox}8^|GV!+F)SXxzfq)ls;*9yo0q5Iae6)qqbWf(cNeoI^2)}g z@fJtC5>f*(e1z|1+0`)|J*Dyd+m^?mRh;*C_Z^s3R&dyHwSQY`$T(X(?`}?~t+gDas3#Q56 zy?gfwaXl1A<`rk~?*2GB^GscRMCiccH`}P@{#!+wFNsg$9+}8e8W`eDqjVVc+9H`N z?J2MN`Bm=~^>xc$_w#cz>HD5K$Bhy+&BA*6G;O4NcI`&`-z3@e!ou^uzIdpa8Rn1# z9lNy*LRZ%ZRMgZE?E&GgU10FWe2kATvimaT-BQFT%}e4}?suh{j@ml{?}Rr(KgL^ll#nZk*Hdu#`PdS4Db^mMlR194pv1}Y2ebw_sK;j(X>rI}v;f0Tn-;F{w zL*^;8n{9p5`4LDUdgQZOww8x)!9>S>_*4`m(+-V{=)qZho<_% z-3e<^m&}6-igoZ$rY8YDK3{oxGigO^tVWw!A-(W$tb3 z-~e&>ydn+WuZ@ODKTz^qhtKJG2!jMgFuW>?WLF^o*Df&J?crINz>>ee^+vR;E?qvh zd?(XOA#P+R4KP9qXfjsDmo2BRi0|$?w zc(WwmTwnhJ%J>^MZume8gHF5lZ_*J@e#fFXxoO|`^Y(LBzJ206hl7tF{NY2Uh$o+x z?(;iuUc4YtR=#>`1g0_WvsYZ=Ki;5zEcI9OSg+8L)0SEvduvmm%fC>Aa5@Q*p(B**HricR&>JuPX zIbXBtC2Wj7XiG<^HDJj6Wf$MU6{Osi&k_dKxX_^GCLtl=Pxw?9`t-pOm;QQ7OG|PM zz)44`jst0fBUTyv+hq{t7W>N@=+sLu!EnZR@8eB!B+dcJ38fY>`!yukqNmNgGOK6I z-<~3D^Y?5zyPj6l9Q0U2i}bUBKS@J^Y9rtEFdw>8n3q)WSW*2#zpC2i|>S@d9MnT|8h@b4vy6v9Up$)#&$ z1xG5<_PlaPI>LJC12@+AM{SJ#G+GMC5_2lZEG+5A&Sv#KXeucOG z{$D^W?s(7So*4tgB3*;j>zHq;#)y65U`TD(9F)Ij})9akhk$=?VN>#=bs z$;Xc$f5NzbGsum{6=!eu=o1nx0D1cN=bU?E>TVH!KkqloST{Xmf6;srmls zWbiQIS5|(gBuGG;^X}32krB8*ro^IhHeY|SKIt?uu#66DA^dyyNNx5u42vW(%k~EW z&1>|eubN(At-D6QFj@M*G^oHFLS5YIBuQ{m5fZVg%j@Ry^PBa793k)`X>#_0u&sEbU4gWhi* z{-JTx4gBo+Javk1fdmLaksw_!ufSb=hI*&Wx( ze((1|{J{ukGz>gFx3<2a+ z_pE^tzF=0nkde_DCT8ppk&$oSzdsAS63jZ_!nga(B^a}_i!{LnB&7QK`dAto%tJ$p zuOB-(&5cmE(Y%5Ym!t0-29WpMu0SB|HyaxIm~5$G{_VSwiFKdJ`ITYAo*vT=EfgPG z3^2}zN13l;8+>|hr0n-XDxo&M46joF~D7jGWV4J;u{NTYX1o@Zp z(U@sW*Eu<#K9gt@GBYEyvk$m|7lD;lJZ-10?iCUC49M~Zb;`uZ26 z-`_WYz)o})*&n5g*OuR=rY^tfyq1%yj4hj^G_n*y&hzP$-OuUJW*=V%X#fEJ{%X%8 z+o6^6@aC-&fZH#)oqO+IIvYf)LFeQzEG#3O)@zeZde2M_p>#}Caa#LROBH?F+s{%( zxc>O@LsUeBZ*`*MDQqF~&ES_7e0Iq#Q`0>v+Jgi8p!oPJY-~n04y8VUfwxIW+I7t} zSYKy-)EmZib1VMNqX{mEAAA=Zr;O(Kc%{g&En0mXDC|TnZjHlv{=PrM#%pYLh8;2< z9uG-K=@SdO`0?mt&#S4Wao9gpCr+iHFo61k)Ydi{+^9ePh$^b>PM8=l%Sp=SfBF^1 zh4Z!8!y~d}<>jy0+utvexN8=noX7RLVv?*g(f6%GDCAaY=|~&9;@tK6i2HiIy)+^} zQZoqdu(D#_zI~z6Q^UW+cugRy{i(LLSVXguw1SbfbyA%CaA*F#_qH~LK4D=GmY3Ua zf4_kvm(yh3`8HFDih-fA%KkCj9?@=KdO@TngRk(tFB;ZY8{vPHmns4_DQ=40Ql!0> z)qm;Y#r$rR^Q#vxxWy%IeTa2`wp{%C^6#aZubozGd=oG|ANAv{YgJ}2uL#l=S~7T7|KP9IuE?l9X^o==ioE{?h2 z=}D=o%5%YA*hgIpD=_^MkyO!+=ne5zEru#Ucmh{XT$k=>9mn=Lq!v~r1P1fP1oZZv zFAC_n4AUG0HRtbTQ%XqatEv+rEck|oP^^+JKAxd_l?8+Yfu2=Wx`}=+W_}!2D{&e4; z!u$1nJ*can~oHT#pA#u#uEf>u-Q_dDP6 zUbKE;@^gvzQKpWL8|_yq)cI;EZkTkW29@@X9TJX+2m!swzE3Rw-YXTMgyTX9B=nCv zj<1Eh-}tj|N#gL`)YI(b6`P(c6F&}ZW(K3AaCp^4M-aK)l@DDGUHo#U7ccJcU6*9^ z^>w>}zcXzp&@^|SCD>?bm zJ$ppVuUzpRbaW{xHMH%Cb#{9-GNBBYaSpCG{sa6%^U7~`dPc?&<*Sy#hv*LFYE-a6ptM`7w^U#KNUmZfLwwBdO`Nh!@~ zs`qqoXcO`aWizwQ_VssEJ47(IRe>* zmm(uhHiOefWk@(YT)m8Cr_LW~fRP`aYok%(ru3yP-%-!sKHB`3>-qD@m%N!aJn`yt zUtQ#iJQrT7=Eq)dyx?fxTu^Nq93M}L>RiiyiHLBOn@J|raD8vzekNSssZ(NLSW=q%{!6y0W-10x~3-D4! zuSGW9J3TylBV8n7_~hl8xVg_A@m&|tdQ=ipSEoHO*$O9-Gyt-*ua(Prp5`sBlwk z#Rz;|b8}w2Fs}(R0HvOMu2eiFUW=lll*F}*?nSL|t2TG;X5V~Z#88DVyQ)_E)$f9l zQS#zOpr$}brBCDai;$g#;|qifGd9kBsYu&X&&!kctnOw=xDl;l<~_2hxnXuZGP9Uj zY?vzV;|tO(6qKIa5{10$>#{bo8oCIZahxfzhZ^LRDL#jH+!kEwC@r0BZS7{2wA{kO zdwy@isqF2#GlGd4^Y5ev3|@R66Ue^Va0~d%@9)~)!;bP>?rV}IWdGc0dEh>6n`|e? zXw!m{hlgxk9V0zMynjUnQiV4ic@L$$y}yE3W%vB!)LH8ET*ks;zPECXY;*nhHsA+N zHqyntxNw7heoR$WoTm*gwcf#xIC=Zi-UA25QeSx}Wa(_<;?jo>)3MVA9K{#CmQ0&$ z3+zEo+-yw;={I9g?OWD+iGiVmDf3bC)aL#cMn<86aZt@>$1KaQ**ss%;Bj$(jZ(rP zIQ!x6pD0yTS9!PqD1ML;Q9l=Ah1`66+rsDuYliEkAM1R_>mySRy{>9*u13q+PHO+< zUe}H4ja47gGiNSYX3#Ziw2&)_z9bTAUtsjU5NWsaix#wQ!R zX1DMX&v1@aBT+t1-}Hys*ygEAVoJ(Z3~X#s;o$&6d}%Lrwn#}S!*5cD)a~;1<(yk` zqyqSPCjUs)b#aPA^Il@_kjJ5Tm3A zH5gDXx3>SW9+p}NKGcq{NoaN==A)z%4&)khr1J@c1$35Df z%3k7mXe&GutHk4=!v;mKd-^*BVos-jH1EpXRdPeB_{*Uqe2iOBd)cCyGEn_M?Yu4A z;qdJiYh9MV#eW(r7rF_lauN0Yeu?FPrXcy zQW_5Al>0ilu*b6FDuw2Qmz1fgl5xfgDgw8M(B`ff$7w9}R331HS)@0hzg&D|^L6I6 z(w$MvF@d=LpYo2yY9x-No-MKbl#5KfCyHk9qq5u7k+`J+ntaAcR8MGGhe9}xnKBg} zK#-a_rJ;)}qNJ^Tn33^7{LPyo4Go%n0++#H(cHhk<;&U^FM8IFTAdjA64!-t2+$SWnhJ@je!^cFQ0>t?#a)y)0O zxj@hUaI^jMFs=$_iE5i-q)ueVK6r@CWRzgR##-KPe{}{i7B^z)8LLJeGPXCZ!l6ip z%G_M@4~#UnwpJMy#6hn#ZgZphxU=($^2SMl+aod3p_cO_=Xi88*eMiiuB2=PxK3(a z4Pr*7B4)O^^X}bU=iOk3Jo_g2eE-VPB5S#KI8XfY2U`CG-TsU?zJ5sU+B{O=I)7Rr zVXy2uGKhPTI=dMdimwCie64(#V?y)n8lNT*?#Rf;_(c7*%7T!Pd1YR6A@TAO14V(+ z2p$!cGJjy?L-&EY(HgL8ZPBFmzElT21!<+1mw9iY7^{4Ru*~&BmU5M(G;M3t4Vvd> z{kT+?X2d2so0)7s?dkNj-hcZfNZm-QW@g*!5o|H}&u*h2rHgs#h%{es-wOeoJZE>2%LXKXB)(7V2(j3Vyjy&bo*6Yt)QOO{i}aAtpMNYrxJ_k9^! zo6ShmU=f^N?Crfy%elV2rA24?+wCj!KXZZ_gzsij!mpyh#Q+ZhV5fu}0y*;DM2+De zhDB9TDJg<@9tbwdJ^k3UasUiyJ<1`+0Gs6?qrHQLML4sYtzxduCOD)~k=`HehTCXZ zx}TY$NOF#hWa7NGtGGr{=U5Wr`|V)GqgHS z8(k~rHS~`Z&;O9LMrCZ$chH%j01yxJRZpFYbz3dE@LHQ;S3+cPuqFbGZANW{AKL+O zaW9V>M{D}~*^-mp)+|3y>gj*e4T5Bi;vdUm$tc&bxKL4jIc#y(AuMqf)6KRHy=I9nvd5p zl{5pu`v-~wE&yv2mhMZIaY@Ze}7+ISbV7dO?*FrMJM`R%MIQ; zRP^ne9ns2grA>9TTc2ulV@d6}SqcrG_N3m~vytr5w~8mr0g-s%(MX179P&(hPNX^o z#KrX~`=FL__1(kQTP|N#1$>kt-^l?a(o`FyPh4i4R+^VPOT`~;1Bjo3tcDediyRMbOq0%aylE}BRE*3q3M||`8|*@&f{8a+S)>& z{5v{tTL&e&O$!AkwzSF~jSJ7bOgx_|iZgJ_2i#_>!r_t3t*xW4q)Z1$T6qsmPLke_ zu8m|}oT-dH5#?6<;R9`s-syliI+j8~&pR#FO*}kkpNJ2pVX*{VN+Bn=TgKfju%Ljd z%-tRRG5dQ9xhd+y+#B5oPY0A9RnYmF2Czx7C8;4K}oD&c&rZZ7F4iMTiw zV!idtLktn&Mr?r5I-L%OGPqhpGlfs)>6X zn{|F;{zpbz?VE7h0s3xCGzh@@kTV3&&3PDCJtB!w^-oRR(_da**Ve`aOgzz1&jIe& zGEpN2Y)<_v`zwXcqx*L<-?f}F;HubMHNQSH#ph<-NyU-O#Kb zO<%BQ<73ei<%D9hFRx#ZKgd<-`boH3Asiw;?FkgBLUVJKP@!P9YFZu&VezbOiM+BL zX+JyAx;zxrFCit>(2{VwuTPlA6S)jCjE>%BY%TgK!DOR@kG}MhHyx^ybIao<@52Wc7c=C z{hXYrANWxEJlawS2gtz583zUx-pRxBiy~|V8Lxr@-Sz38@5H~k9>02(_OKmw?dAr9 zldF9Y@e)63Y?wPZ;OKSE;7WtHG`msChG^TrcCvZ8@05y~K856#E$JjA$SWp#J4oT( z(#~f@4w{-S8tdN)H`P?CR)_|{(3PW)vq5I*wZH0!z5nO&fZ^kG|Ggte;m0i z(H%1J<87g3V-%}IjmFfiaHEQk+Pg606f-n*wqm~NtccOU=buR5Zu~R)k&(tDJ6RHI z8yZMV%8pp8RqWfDk57;q9~aD~0boHqhM{37xU7Kfk@1BhqZ*!-uQ#qM5O;w|MejLQAx3 z=CdkP5g3NH^wAY_X+eZxgR<-57*&gcZO^@zWU_pi#r)=o7%E-snL2EIf>(Hje$Ea7B5uV?QOx_KWB405*_6Ew7l$tE&TMUX z<_%O(y0#(k@*Y{1b(^9-f$s_IByr=pf@<92_rUA#yXHrwi<~SZx@-MP$QX}(2xL(7Q7dQQ$)Ul_zqO?RB#XKdlZrpHIW&6do#TUzS^=1sL6CvF>W}&4wI>joo zbiVh~7z-&SMzM^7&dM|yY;0>AHJux2k^1wX6crD!-PThuDTL~K2eardf7nB!rlx^F zZ}YE(6gy6SMLL5Q`dXHdy}_~j2FvHqAtazUr3j7`VY zhe3uxzLrxvu_`$`7MOM{{Dd@7!a>fEM}(upEkSSNS(+OX1zWk!y?U{zk(msJ|z10oDw(g|D?H- zNr%Y)`6r{qwZZfHTGDPndZ@p@eDX%P$MYOa3sqr-Af^r`!WaT|lNHNdCk>IxSk(AO zo)hL(6IxE!qH+GAy$8zxu3WshbBOCNYmjy4YNQEc{D%@}-Yrs>?fi}Mh^!Uab)<=Q zC1IpMRLE8dBs$(UsAyy)kBsF@@r%w-v27tVV8g~UPsE3WHksFl(i0&QlHq_HW|~P~ zSnl3!vP}GBL-e8X@I1EMxw2s^V2U*8eWT-5UJNjrXu{p>x#`zbMQ+oQpaCsbez6?=8Jd+EMLCMTB3A`Z9@i8=il6Aye$vuTunjj>}vJDh~|KZUE#vi8+K*6Ek@F^#A1GC!dnWcbq78c=p-&=Hmd!(%CzO==>{Gdx+x@cuSw$ALy* zRDy{b9^OijNcjFBFLkz>;IgTqhHjatsdAcl5GhwUrrZneWYrsPTS12sW{F0tp~PRJ zIw%2FY%IC~m{<(gWz4TmD(_ABMSD3dl#%^m?2k_Az2XHF?1$eSZ%dxBOzaXtYB1E2 zKmnY+7hwk6F2U}Lkz~W)1H6IJ#UN(#-!q49p%=99#_#=813nC^s|NtA!;sK7RL{o* zgBw9Be<)IVyej8mrQF4hg&@I0x>eN}fe}5E%l**;Z;Y5bODnqk{v4L)FirRMA)`MY z%{BPYFZ#khpiNA%hB{UqC2@3=&NVu;8&QHd`SY=yG3fueK;*T7ftPCr28^d}8Qp1F zFi}z#mfvGq`5^e#t!wulusw$FnhvX%_mLg`ep%G5RED4T2}y13coBf+)ATWmH#a|E zl}akg0QBVtlL(p}?Kh`cxCC}N`+zk20 z7ZO1aJU2Cga(a5m!RT6c?c2hlV_Tb+rak}RST*4?W-F!13MvoZ`*Ki3GT4#5iyu?|(7K1IozTH#s%k1U<@$!EFVZ+G-fOBM2ij)MUl`pO)JGZecFPA8q znTcI%6xCNz;Ry`X8UZDN(WpqcSIG@ao(g1yTn8 zzSjw7a}EJ-^yE)|%+bH_XJVMr%IbriQrA~_QAS0)DO4;%!2Q8d?qm{N9Vzaid}4or z9RXYL4)SaF!Hq3o6f9=GDjK}J%GahOU}Fx7++!?ZFIc`H*U4v3%&Hf0_9&Imu(OEf^J`ybp#sUCrFkS3Ui!tFR*$)S!c0_B{ylOsB!9CIS_T1D*qdotQ zzU%9*op<2b3F2-qJRYp3#7mkAOsz?|%oBG0dk5 z;rS0&s)%+3*$SHCz<*sUcH3r#FIZmnbh2kjy9|o+921Pc=KK4MLf?&()PeqqW;1cp z1FU2;G#{)AXh7W*nb(RRai7^?>f9&CaOGjnK2vkZQ1GPy)x$U zW=uAyI=!V$T=C+?mdYW1W(-igd9%-7Q{V(ri!b||aLbbumZ*!0e)N{i@AO?6+XHtY zp!KI7*+(E!zTWgh8vjC*I*au|GKcqZDDI zi9gP!i2UhO?or60YSjTByNvH>cz2&v_V)2GI4-M>w4@{6%QBbWQP(tc#SJU9sl+@6 zQxQTV%v|#KPp2~|JO5t(bG#*fK8fw^2F4Yv*x7a9-aXdG;1=yC2rk)5jjE{C{xHI2 zq05zh#1IKuMQZ==;Fo9k9{|V;(Y_zn-p-0>Fj5y{U|jitB1An!2sg@8yndYx{;YVoHOS?xeyAA6NJ0`4B6|6wPCa2j zTl;pvBNcV^odDfUt>R0~!CR{&B!;#U)f|vj#Vu%vKr!BF#+dd)Qh5*tR;bAcesq09 zuA{(=3LiarlAlqI8y38s@F5SSQ|kOST`07(C|+FNVh+EtCpOCp70p7Ac`f+f?dLOA zN6r3v#{M2+I&=%)uHx4zdQ|XV+1(FXoSw#qR?$Ok1ewIkR8&hC5dug_78k!0Zx>V! zE{lg(dGQw~qUMczUIZ^JA{ryKi+O4W)exXf_=NTUsg`|lY17e z87dfPv}P#(CU6^dg1if72$+Nx=tl5L9vcg_6JI}{ocj1+50TvQr2RzMb@*fYkw>z- zLx>rn^1BoyR|f}7k5%^81aM%!k?&f%%6oQY<}^=K+Rz1(NF+EHudooofXH#~-d*Q8 z+k<{hD-4hj(@jlrvoX;7qC0<{92NABhB!2^OkQ&%Q9g5HiQ-NjF4<+68>dbiJy!yu;eo_f#;O1rya?0z+kNdNDE;+QeS*y^&bLyyNXq_1T-L^Ecx^R)G zaS-Shh5H7vD7ISEQZd_Pe)S;R`r6=aqBaJi>7yZtfWNCfoOWMX1Gms1w+`XOow**2 z(3f;<*JL^7l^D=QE}YsyO_xVJKx!v%21uMj3uWrX**O2Gs9n!aPevhp{`@2PU-}dN zQy8ht#?lk?c+~FI;azRkB~!l0 z@ZWU_WdM7Qdoq0n?V@(}?}ugwcaV~rqH?B@V@h+=NE~K)=&X>-{6fzf!9iZ1oe6|m zW|Z&7mnakFL$_`VI$EGCuuu5B#pmY{tVf@h_wqCRIEW^df(pi9H1yehJ;LO(>Vfc6 ztc}VP7z`8u;K$IHO^w_e3?l`ChW+x$*d@A%r(*@PP#rWObk|&!!C(R z#PyM7q5m>B8xOog#Q2eKZ!bWylDV#K4~j}$V2Xt_QU%%4UOlAc6O z>r;V30CX{E5UvfLf7>m)W=EH_`Y~Wr&)7J0m+)pCl4XJbCrWky*xTpf*S`P=fry(- z%@71L>N5PpTG;KRiqZdFAJot1OUu>Vf@w~;l-jm7OuWFTuZI;EXZ7;;JVc7|CZ3&0 zF>t`we~bkG=%gYF;}QqEn93^z|4T74=Yd&9Fi3dBnP(eDQdKlHWiZsiKtB}1tt?{& zeC*^jw2$TEX}HsDg4Tgh$##^|;XtUrw{c}NnH@O0Km_7G$G?Fngo>D~%EDqr@mXcW z(SCuUufW7a-ouW`jc0Eg5oZBpP0z-bv)#;LP)~_|)ASz!Gmy#B!@M#u{H6G!-REm; z;Cg~1B1lcWi~c_XCP(@o$Wl2i4&oo{=QM@grVRLyf(_3^D4$;v3JLxQGOdh-KJ z^Ezr1wBEno&SK(ChG=F;*GLJ=v1Ko6O;go2%C1AVVFSTYU?fAtOg_RTjPXzakpm(! z;Tj!7(PbMsc`0sF_XShat?2t8cv6A@!yEvf^BA4sI5|9YTqc9_u)V95|M*8O=LXIf3ETobCmdyKu0`i;0dMu5nUT}3_Pjv z)PabfF^B>F0M@z2D=ftIL2Q{{86Pc~iHxP8iE0K}6#eq0?D{B|l_aPn!n52!pHpMx zU(AM8OE?bDWByj^QDFRa?Xgt?ZV(I;dc{D`gyCe-&>Hw(-xH{9C->LP zWy5%*ouMLKKOsI(u5ot?iYzc9&1?%9tkys)f&m6vsd8woKF!P82&@(ldKN}ZXtwm1@+jypvzTc(0#tE^I2Yy zu~_|Vb#(|j3J?&1-SC$YwY$45#B}H}gaZL=hFH$Z2q*@O5O0A%?Qq?oN^3IDZ98)8 z0yxiNOIpKBU1W?zedeyXLO86Z$Z@cIZt?r)E|tG+14+%@cmDd3`1M~nd7?%8G7H!UkY

    8h%D&B^h zTN0o>1{qaT)_EF`V18Nq3k?hmYMPtJb9($XRu6f|a$+{wR$>?T)70PdrAXtwB^@4Z zK`&rtjgq>Ys>@d5QR#VpUqmsHj6&4k>8!+|6#HZ7@Ck+PIFHv#_cj-q<=9>C2 z3hPtW*VmKUeu^eZX&ZIP^U(c2y#O-I+}dH^8UH(N9WB*R^fP?1T(A-RT2;xY7WW~b z^u`5L*(il`6o!ThcO%FU-C#ZEBJQN}(8SANb2=+IrQLBmJ0UW%%NF=L=qxJ8jP_UD zV49hkF>YQKz{rM*hsP02VisX)CV!M(=_hHx@!${|y87mEp;rzZardRxoH-)svrhc) zAe6G3#($ezf8H_qsdVq*Md>{X@>C{eFKbs9u2@(;-&P-L9}w53i}IcmM}j)3&~y4M z;%fXFQ)E@}Wy#GuHZ;f-*gw z49CCq#0h4eU5rdp=8k{;j`+&5K{l-6uIOlL?$>*h23#wJjcELkL|)5+aX%$P!`;~T zi9W6I#!)C<0td+dSy)KT&W?m)9w|om6C5sRXkfjwF};G;>C;={nw7P*c90BVqzJ`= zu;p_Nd2T>+tvQ zl$>!?hX!|H2^^V##~gUZTeAYBqXH8r)Z zZ*gw!I0oK2utEol4Ue()YGfYcT3ci}>9%g&O5%?d5vhhRF4I#}B;@;H;Ye>^Ur_UC zK-)Mvt+^mSOlp-|XS?~Q^GxBZSE2aWgop(u9QC~_WY#9@HG{i|5+Lg#8>)P>xaN3X zDRbMtkV*Amb-4!`?Z$!syM|_GOih{L=fhqvU2JH|Z)%FM+PgCn6c6e3*($QuyIXjK zgyJXfseF`B;`{pfMN#hgj4`{Rn(ZQzl21OE_I&<)|LCz}ejPFpIC$6BcVQh+~jK?b_v@0<$Y*0sh#kDkY!NcI)=--S}Jv z289?+mB0?wCRQuF2aDL)*c9WxKKO$t)YM*Jj`0QLee?{}bafLpF9CB9qL)e37L ze;j$we^u-pi%W#~!lB=mgzLJw`fXv-`1`a^$o4%Y0marY{O>>5Z26SCHLG)$E#g}m zJcR)UI;X}{;))L2GZ*q}tQ(^FJ*mp~^e#iFTkrFQ-q3rJLTo#{`{>a-l0v9R=-FOK zS+hjLdNL{cL99pSVIJYttT$dyVb^WLs8Z@p;=^ORtMlO#Cr;c=Ol)RdTaJqVX*cRJ zE6vRvfN{ErM4v%SU9ytgy?1Y)?+o;2Xi2o_5J%x(4n(} z5)<>^q=o6eM0>1>uCTi_>30?SGAMneL@*+Fgd~ z_8OY+%8xnB>gnN1VcC@*m_rW3V zcW)+GK0SL+wz#px{yBhL+Q8IQvZq5`?!z@=TiZfuA_s) z-}J7ot_DA}^Nx*>1tIQ8zBtU3RQes>pQLK?X~+UZZDz^{=Rte zBB8DM^eG=n4PH?5&dRpK;ECT3PeOcB!VK0pDA^M8VeDI<>H{ zu+C+6HG`gGGpL0sj^j z7l*{eY>$kLe4LlJJ>a-M%rq)7CN7SO<~1aQt`=6V6~1_(j1^4y zw}8KE)qj<-jk7&nqj62GqS_b3_)W1KQCRUqxO@5tmEM=uw@YSMkIhyMd7uN8)X2z4 zH&)->&u2NAdRW___k1*4F?6=rsHyLTe1D%%601VJLQDA1wC77I{|+r%P46zIdD6SdY1(Euq`{0;_y_YWvo<+{iNvQ6~dj6q?WXIg%A|OtNkjX%AFDo`uzIppr@!GWm(CQN4ga{dj z=h95fQJ3!!?IB0BFd!_Z=i2q_4G`&KU||VMOXE>dRjq?I7q&_vgn<3tgCEd1iSb-Y z$VZHbZ_ECos*8It4_Pv9d3jEV{n2j=!5~_wI-e5m54wJX@G3`fP*~Aei(zI7k2!OE z`S;s>FP}eGGBxFddcS_Y|hsLEjPCt0#0(hdmIs6p*Ixi2-wawKB? z^uF8+<778(ytSiSN3H@|u{oRE!znqng&H|W*sQ;FDv$AP<;nw7QH%gZYoZ3uNG z@V$^WY{%p`g02-dI__#(njMUTGKm#5MG?sBkxfZrH!BpV-6+(p} zSkVU+%j~bJx=?y0$F@FNPFdFM>}*^%CNeUzc5I(>-h{>0V1gOaF70qNSm~}%ewq;I zHZ)8{r>MligA^ptU&6Acf);UAgbkE7Jfk^|F}Jj|5ZmAszGRR{U~?g+j*lxVlT*=g zHb9)RBU?AeCdRLIljo_}%1Q`GZE`eT*8wZ-6%?#@8KZ3UTkmy%&X zOvT3Luxi`@sqLf!3OfA%;9h)}BCW(zQ)ixEc<~(GV*Ve4C9l&+9OhsmTzz4QR zVf9Ib=)%;mB;$Vi1t%hb_)Y2D#QvUNNZ)Ln(JY($ebiRMhYS7wW6efJ#^XHEei|L+ z=IwixOUjJuzLfF8fpa_-HdL>4Tlr;0%l3!m+t?-NpIw2T=gqCJ5}@Mc(%#^Mw8_aV zSh6Rfm+SPDjE4K$Lja%uQk@q&IJ*Al>MZ+ZSkQA}{%3*%;$ci=ou8X4#Bkm4-0yNy@q$)X*j_=&-2Xx5-RPZt_zp(=IMEO_3Jua$l&#$+;zD3v;A>%b3O_(h8~8u z(g@92(!_PL>t)8EG^Xor6h2R5S7uOBH$j$N-w-iS;wHL7E%qIdaT0Nm{}KhHrrVDm z-3>Ls`awSdER71s9Q!cJN;NGuqKi|dp^$>f=e<>c*rYA4a)Q6E)RHLh7vTa-I`4NKo?4{%&=1Ga-_cKNCfa)$7;xSX-AGH}jf>M~Vcy2%c%GX}omo z-TOWs2`6UAptiU^^&EbCTM)h*soh5P@Jqf+{J}bR;^XNAGx9tZgs7V1+D`Q3Kfp^4 z)=^}PE5CK`{=fTq^UJd*on$%s$GBxy^+gO1u!1)~QDB-Q={TS$>+_(=RaX17&PDD= z7SXkxzj-cy_)4eWGh1leb8+9kgCjC}l^{X`u>&};Z5-D@6jCW+w{9^)hlYWJ!^GmV z;F;u_PoD@^GSQXAgl*2^oG)I#riyDOPiYGSN`ce`dDA_QuZTPf8-JMab*Z_z(a@en z6=8B@9{%lJiULr}-Y<*tM;KGF`CvOW#NJ!KGLZe|;^(vx2 z5*diF$f%_Gd7XRq|CbNh#Ki5EqI~T*82a!bJFpbtL5tgjewU8rd5PbsOk5}vP^%;BJx=6?Xz6&3V%vRH{qNuu3j~;SOK0@($mxPwk!Bql9QeeAq=r_ zu8e2T0-Hy<1qH`nG@G1!w|k`Lbwl zXJ>HsEWOvSZ(DEQzHJ39m0XA!Lw@i@V-!nNA~w|?>+I;TfUb!p(os9aOC&cj5h`ih z`k1IGL}X+h6gv(kbI5uW)~zCJOhH;wL|Qs=0}>IMhKBc%PD(Ygx?Hqn71a^b(#i}*@rWtq*Hl2%r$|FXfgCzphd&5VzaOI^Bj35q=erVdbC zw`+f_IMS@kp^voC5Q{07oll+GMqV>eaig9!XT3x?>%KyIS@S~6z!_ba^q=p_<=<&@ zecxv$C9b9Q;Uf0QylXpiK!N5zWFU}wwm~boqTbHFN9y$Zkazw4iEsUS!{b8_LpD(!O-JeWn|B62pO9Dz(=jEtyVZa&66i18k?H*%Iu({^%-sK z!nrj5Se>j_whp!L&(P)*&aL)d`L(U}`j3wx2+)A%)QU`yEw^C*^9sMOm!>+mM7hh$&a@@VJuEFN zJJ7_6p?V9vcyp{fycDhLgFiC4jrrES6_=_%C7YXTD_@PXWPazjJnsrSdP?{A2}ms*&Hfnu7qBAK`7F^mcqNF^{vsP2&1X2}sSimP z^R43P&X!APXFyIu!Y!ADhxay$+q9@p-=9=p`1t?jJ4&D@pxoVbi(dmBfsy;qKN|we zyz8$1`L)-LaX1{3$0a4KB=itFf=fw*uNa#5AZQxx^TMW=d!aTP#|d*KgnCIH1C@bX z!QWWJ36#OTfB%o1=dWzKPpuP*oXY3UF<>{ru4J!7Iez{vP^oP1>|~0A7crI9>s}uB zc1ZDg|10H7ST~2@(|nBRpb(IE^~+1iSgsTrSJzAVybMZJHEYfNEjq4WQ?MNl{jEeU zh6TWHT3RrVOM1M!xj*zysZh$Xe7~6uZ-;!Hq#OE|eva zMb!C}FBkHAe3tiEIXwv=7f6i+M^Djz0n)l@bl&_*&#o(No8i1_m-k9ZaVdw|)lGC9 za~l8Pl0O>n2RgOuK58b>dwxWKRo!#!Fx9hXtHx^CuK{Qp%s5H>gM!H6=EAUR7EBk$ z*eQ{X>pBREif)Hc7E%x4xu4y_;VL}9-CM~59@kx)mG7#)ee))XsHo_~&z}efyi!t3 zQ_~5KBPs4HHbSJ4Xg_`+TuH}+ zxeb#Q#>3y|Qhqs?dwW5Y{JTpRvIdLLa*zqTSxn5%A;* zufUn)Xz2eyrW&(MjQIceiHhcR@wq=57_)PMs($1FmCbb3A= zL&wnmfc&I?NJyjpcxKBu4!3D*)@cNC%dSk0iFQQ}U*AqJuvY&(L0wpLKb`JU$?Ugp z6!Ix?-~uBq*jAqJc6J4wi9Juj_|{0G6~1hS5g@{tgSgKNzS$3ieH;cBifz1NA@e0x z=Gy8Xe@@2Ez8sVcnxtNRnRFcV-AbUvfdPFd6h*#P|0OFeHFMu}kbt-9%9gf$TduT; zL6?rndClzr!m8zuk0b!dE*yEa!;(z~-BAp`Tv5dz`u>XQ`*(XZ8eH5bba+HYI|kxS zNW*5`PGd>j|I)B8Z2dDCtnBQBz&eEUHbz`0Wo&(PyXDvK`m7W6k@bxYNt>=rnHzH2 z)r}3Z%_YvJ6CKJ_%4pSl0Z0F)iq=Ekn2}?kC4z%N?AEMNoc@2e$mtA zlYDV7E9Yp-+V2syIMce$-;9AlPq>9!)eP^?G1*Fz$kOh%41W32`02AMG@vJY=m1k4 zJoHfc!rF9Ptd`4F>q@WO$jk31A~pZnvpdXmZYi#&DP|mcXk?h^MyHLx*7IE6ZiUA1 zo8s4p>y$MgeveWNqQ&@w2k^8L$4Q>x;9zs8H5xZ(GM{WYrLMe_bCZ@y(DRA=?2g`I zTSm4+Y4!5lw{ity%cCVdJUt2O43cuW_svtdBksR_{o~^a^1fH4==UJ)En6VddK6BX z(#A5FIA$h`!wrm!d$@cbFweB=T`i)ry4D9M_=Ddo zf7$Nq*Nu+rFHN_VE9B$|E1Ogra#Yz8k4Eo+1>!Z`-Hg1d_i8`}xlNS>`}^ef?V_AD;9{(fhQ2zP~IfNyERtJJpAw3n22W+m%> z5p=3A{>RT({>i2^6F-UriC=!cg3Ssg@u?E8BH~$gc5s4l7zA?%pr+mFW)M|z(9a{Y&B}7vT2Diz`ywBPYAiM%!XtJq>$Bom0IXV1# zxkq9_CR+T|VHYtlr{d?okw1EJ`vZfy1cG1m~2-G$@-eb)H+2q)Kc@ExcX zHs3R(S_~Na}Oq2vPSJIQMZj; zMnGz7(ESe(`-+@giyLn7lNJ`6#5G1yS$ugZf8DH%U@d-~#szBnQk+rb=~^#R_!R|R ztQ&b$S#`W7==fgp0Dr2~vy@|FveXpb^KsF%L3j1!Jt|gx$a`)v8p`^9C2MN3HdfP`R;ob-)-K`!b{a zWZdjxK)r#TuWRfh?zuX-g=Jb82H6?hrdQb^%Z#?fb41=99ivc{o#@TE%kYhUU-9HN zh~e`2uGt@XrfKc5g;_(R)yOaAo#vKr-&>UT4&f1TKHk(J>wb|!DcK@YB(nSVQMVV{ zs#b~@k{tIe^+P1a$>0(TE&#(yRrTmKpB{aoo#&b#p@jO`F(+J)D&5kiF|Bym)C?z|bAA7!5Sa)^B0)B7W5 zN?Uuy4M|Qpn}}PCyXQPIC7P{rE!l+qpM1%}!p{75>i_8lI49_0b+QZn z7Z0R+!tUSq4H*wnVj$cZH#Z3VA0Dd*x6jZ2fJ`bUs5%l7s)CNz6mP zvldv1IzQPQQPsM6^-F$DgF%mgBb&gHE2AK{I8pJNyj~ zr9;A_H0nDutpC2;tD)@e&4%zxI=49cLYc}HZ6{C$Fp8p)^z;<9mOl>5zgf`4S`Vhv zp!_fe)Oc${w?Dx+$aHBeKLZGWs(Y`OcI6tM+;X?9hBYXCY*rn9*mX0jrRA5!<36aw;k- zyT0#6R6o@1g@l>*N=lyho=q$%IVgMM7h79$y7IoAidtHftE+kKS?6u9Pi5}l<+Uf8 zZ4e8reNPh)X@lF|=(ouf+}=)w2Ae7(m;>E}8l))0cbou04V@Zuf-vsPSQ?hm3M%wk z(#23vYsH%ra*m-%#{^GxiB}E!9t)83s%wzTIs+D!Q!aCfmpcUmR@nRTs{Z41 zIk)Ktnp>Ea)MK({9-%FQGSBExXu?8k1|Cf1iPnImX+dCSwSEu9Gh7>T{D z8<%2s9#2QlA5>iq=bVlr7b8hQ1(O0UksGx9nsR0d+oq){_7$agaMTH zW>&PP<>vaIh^lH1XArpBk#>?pkk7c~?f$waY6Wx4^BT_cV{dQwAZtbENf5B`^&e>g zACmrxRuNDjT2rn{k%2JmpE{>b9sd6QSU6HOf>yu$;blVREa&7ll);P9*%-3&n+_vR ziUx(|dwZPOqI-LHE-xE5-j^!cC(e>qVQlc@+KVeoNThr?GS=Lr9UAICe|}Ntf;O1& z7?aanGt?`Dk5-NDrGz^<;_X4Xa~C^7sPbI;`0<*g{TF%2=Ntb>V8D$htm24=SXVcH zbqyIwSy`0uyMl|CRsaWUt?ZG)Y(#Z;Kfyd7}=MxuSqjfPnRtsw3 zBpa)){|{Yn0?uW-MvGG_LuMgkC^AzrQ>G}&JXA!@gEWv6*c{F zMFisz7njR7)|PfPG?4v_vp#zCG~|WMn?)|xa(UK_#8Keea);c~GQQx}I(QeatA;-f zX8iQec}O7rPhhe+5Xil7zJbXu_q2v7Yug*lqtS;H;PewM7J=GVRIuil1{#eNe;S-F zA0)NwkjFT0QdVbeK2D4pTI6cYkLkB>C$xR>y|-9$V|x3^lV?)%^1`YDZ4EqWaSx7b z)s+L=p<`m&wrkh6U%!|_yKj{8;mbLUGs6Ll2ASP8=Jjx)LopNFS9d**j*TT)TpY@Z zTVKAs@A5?x$MfPR`PC1+lM}XbBrKBqW$|RF@Nz*OH<_F42Q2S<-vpA z@6YZ~!2{EMTvF+`L)>|DgX%}|;uc!&(j%}MA}DJ_j2L^mO-=0tE8CTd@*~kFmxw_V z+k=sj3rz`wftY95_bSq?ud-t#-F^S7(ZnVexJ- z;DNXw#&J2MY=f;z|A6XfJYeAdU$3c&G^O`hM9S`I9mXg@F~lgGC~c+(TR(p>_}G>u zP1Hc#K8bhpogOS@!Q)>HIw!ACKahxWDfsyF3M7B>1~a*EP)0GfA;$ zXMdR=Lg~+rR%2?egoyP73zGKmTtIYm@KSa-s!uD&Qa068a&S?ww+Du1PhQn^znj&? z;)69VDe%U|I*P5#y)* z!41EQo(4Z!`IH%5Fe@sJl#~?Kjg41UmoklU1ippsUUeC6>N)Q8rD1UTg=Z1_cIpGa z_Uz`FSA*~+G3g&}YJv6Dl)Stq;*gOs2D6G;dIf!Yq(;w~v=f(zXm+-4XEo{)!v1hI z@||J+1qCz_90?RQLp2;3dEPzm*Teq)t<;Uc8Kb9@po)tdAC+h?0yqu@+YaZAwX`d{ zMo^A9{s;<0a)T@j@U!yYzwax*e`k90#$x0ZNtOYanG=1w8X#k0LWHFy7cewGViE_E zKzE9*uEpF)YABb|H3(DXlgc%Thjzzv(O_U=f+|&yjGJ2q>nNN#gAW2j(LJ^+wS*UXiJ>!lYpB4pP6@YcX^Xe+3B%l#ob$R^N}gChcXItkgY6=H`erN z=iCvGS*7aeim#u@>$dW5V}!{MsDBEm9pQ^){?CXRu{{+y3pq_h&9~<)_wL=hv$0Ms z;q;gj6aB-*mR?@+2#Mtz>t8cgLherVn1Wie89j(og#p#kOCt=It{ne1`4fct{es@h zeHLI*VKS_O;ci;meY}e>q5}OPOXM?ss$;>gZmxcBV zKnzk&d1Nf{4QG50F;!HwJ~&uAna=*I6!M(y*w3o+_30OnVG*8W1IU70221YUzaI{| z)8}{^l!^vuF8MSa&#f+K!{nm;#W^L2&`7S0q*#tSkdyId9sXX^HfLJmm0 z?w#*YlmSkUSE18oX%hoLFa|jSyt4H zDtqY8H?dxAdf1*{@wihz*7CzGwJW3S|J3wgWMfpvxRbj#I0k$LKD!{HTQ&zGuF~1}|T%B~1u6*rxI&vzu_k)k7fdMng5l~wsJ))v8g$yS63it=nuc0c& zR65mE-1|YoAEKHrG~9=;JerEstn={KR?ej1&LSr^EKp}PJ!}{ikdl$XF<9flBPq!! zpxf;C=K9qw4j6;pA6PCxD6pQjUkdBOLh&hAu=2(3;ZBw#p0` z|8s5vZ%x=AsHnnHGCRrrc5DV9bXftWFt5#7wEWOeQD9vJm9r?uW+~{tWaZhwjK(tSzLevoy)9nF-*Trpaf5R5wD0(jWf?A|v^cA?W54QIn;sO< zil24-DNo6hNc66RI-t0N6Xhh)k*aTjn?O0RXCMth#AmMwD|L1~5Vhi&+4dSX!25+w z?Nwgewj6?g9Hsl@#)7d-gj42uYeS440}x3{JPgSh8I>@bKUYo8xL?SiHL@)c7It8e z@E$loFXN~JCHnSY>F?Tl)|{yRfRcTqIatjb+ou`VasD(_jm{R2L?^B0# zNvK0<0D!%CGeIt#LxWc3+-u=~T8~gDv6~*ck(lNw-T^OsZqljTE#tJBM%;F+G7W{a z=PUA5Re!}@d@=ILA~L(yGzt`uk{&O2o#-s1M;V}2_#a?$WnPT+aPR#wS^s-CvjL&u zvBRW*9?%Aw0g~Ba>Xc}OD^ZWS9buX^SQoY1Tr=ttHWxteBnFIues=I>pywJ`Co+C7PO=^h0@8647Ys8m&E2LlkT4U@KMj+RH>ie0_)!!%K zP`D2FF-KO3Bl1)*8o8W8P?~a2trG1ZQDb(vj25DG0F%HkNkM$DHQlt0A(t7Lwv;+n zZ`PD}>;Oq};lZKCxPQJ!CRErko~&$6ijRtliUj-B3a1y)-=U7yj9zqLV7iF&@|u8{ z7ceGkz#}$sNLBTG|0MUFwl*1}{CV|C5Ml_G+2P|vAjySW17tY^qwTVQBm+?;@bFc^ z+@BxniprX&;1_na+A84dWW-6-^bfc&?V#)O*+!%es5Ys}DlJ3&{jui&E7Z))I4Ub2|HM}+xf$#C^aOhq?hOj4G#{U>ukDW|QKBHa_i*l3 z>POJ3wo~8F%R7$uV)b+I>%hp{-6kf4&Hmo0}Aj-bQcUB;5xif zwC_Q5GzBU&^V;Z}DEO#9rfZ5zp7$3J5$!(Lkyk&r8bG&&guqCM=@4$nYsVe}$@#c6 z%`9a)*ohz{iLaI@_lgb~6?g8Y_}O9XLh6>iF~tuy9c*X34!K4Br+QO-yyIwUU` z@l*pNa9)|SD7lqHB`Ru+9_T*jS5n7p#pgd~YfA#Ip}FQ>yp6py z);mL4cJx;VU*b@b-+^`7S2_PY(vNyVN=K=IO~SZ`3|JN6g~>t4m{uYxslQDLX0PqP zGv(zmw=smN;eC7&*@8+`6RI zZPG&8+`u=EAK=I&#>YQwDim=w1+>i^)8swq=zll&03G50=JwzC>vJ&U*F0zK`QwM9)3y{^WP?)q33cOc{)&xzRcv&vzxlR|R#R>RJsUszm?a;JF zv3q0Y*CE6b*ioxU9JG6T_29872u_-sZuud&XN~R_4JM|VD9g~*VH`xjZYca12W!u0 ztp&RBdW3{DI76Q2e^N(woOxYGoHkYg%0($_~4%Irf&< zG5xFF4l^H~J$tsG`utCm2`m88h>&Z@^ z&i?l_jXnqcMpkx>Tk4Rp%da|}x<>8c_CccyQRg8%d?0uAFwh7ZcX#%@!8XAfRz$eU z7V#2Q?HB)s8_|kUf;n-y`hV79Kts1NGFlMif>AvTmuNWNMvQlhrz3$xMAVqQb>6e< z%sxG|P|V^BwMhzP26o?X9^KD0fE-P>{pioRKV~5F5Un(-`jL)&DvReQM-%n-6Wb0{ zRX0T6qRzDbrNxM^p+?Noi14KKfe|CBh=?m4q201MS6i9kbvy1<{CzJ(E2 zW9IQ#$Dri(zcdgw_6KsWxN`mu)sNDkeDbsupVo({w_z`ErzO5*v@iZ9TBR0o4iucu z&M9$L_leWh#i7U=@kD!Tfy>~fu-(?p|9lUO7po_FI-H?p0~l>p=|4$09_|;G8J1_u zBBf&HP&GGaYfd~>=f-3}ot5R}{8L>D`IH#^VaE}IBU8HOqjVeX`tkV_drglWlT%gW zChk8W(xjve?;p7oM!{I>mzv7lF-;`9o9BqqY0{_V=Sb^!2KTcrLNB!vfRGd2-j+Lb zXaE8+W(RrZA?+F8%U7_;jZ8a?-Bv}kVlR|WK~faxMY0SRtp+M53jk0N(#|X2KX_(M zEtL8qAONA~AX-U$kG*f=C9=%_qg{y?6V>?L?0_L`_OZR^gF=q0>*+D!trIq~KyPT# z#o_d%6M!q<{q0~bvD~?%591zYLT-5>gW$7Eo>$l1FD&fL8Hu|-u+w^{qob$u<}D#r zH5To*#bVqJ-Y`jcJ#lyBDFJ_`O3mr^9n&iO2?&EbIVUJIJQUj4D}V#HAmX2F@h&Bq^c%+c%Y^jfsQk7|1hc;P!t&gCEJeE}yx z%P%8C2a`3p{?jb{O*pP`RyE_^zZE(l!A)4KQ{qEN+Me{m7<35dXRFVK2OBAAR8W|? z%10@R|A3UTuD_Te?+acSZzs@1q-+&UO?h1-zWFn-2_vo|ie|`v7?eCm&*OumY(Rlr9Ze1UYr|}KUt`UJDn)U2%nXOpDl-zB+pg4o7ZMZ^3r2Hi0;7P z)m_M){unPnFL8eDhW0-MvdA_%#HVBNvBo5twW624>5!_Zyn6E9n2(2AA5|aRH7bTb zrQ&A50CYPMox;N1-bNf9)x)G9H+KVTN)DITJZ0=~(W3T1PC>iTKj}jSe^Cj^RzE1B z6BBR3u@*ze4AS>*!ldZdWId%pGp9rgu*L9c=aCc71v^@a+aNzXu_5xiS@eDoAZc!^bTZqen$%F3qkZra{B`?)7yIrB?uII;C?YA zD$3D{p8ibjMiIpf-~b@-?PtF=(AJS@YFZPcO9*{_%Cijw`BiPI=;rT&{<#I$xeBTF z{|W6KB+t4Exg=l*BFw?&I*bTL)<@3*Cu(++BFgY@!Rk9-QRKs8qG;ERZdTmi74=8F-aHWmWi=7?PXO92-l4RyR0FVe=?H$;zTkId~!xGER;E zeh(9+n{$+4`BpoX$q}3w^V($*M5Px1cu-;A0p9F9+@uP;t=cUkf99OFghdZC-lXqo z-$Q#)Hr>B6KN>v+iM?9j#T0j^KgBG}Jk%!)4EW(Jz8%vAfLGeH;U64}ElU8@ z;m;pdk3*H^+nVm_!Wr0hXKCqLqAY#*?b})z85gSRv@n8y>g+mt%ryVL{QN|z74$N& z8sxzJD!5R;2mS0Xc{U^k1E@+VDxl_c9%}IU{N8O{=}&lw2!lPkJ>svscW)b{4M;(y zAi-1oi#~501%_8hW>-#}qSh$Bq8FE<4of?6?LZ79!f9#6`l>iI6n%um93=s8w(WU& zaR9O+#x7-WJw!3->Pkt^D*I?`e+CWC0IEWA%8*LTHi(g%Zt_Xz>(U=nRPJKfI3Uk^ z`3RiU%I{L!x~$(+1ae@7@@u3$G|!%>_PmcbUvjzeUoOD$hSvN(dBiESp8`m4(V2C; zsYKN?+Ac6Krmzb|@4JXu4JbY`d) z$ASt>%5#LoTs9V^AKA+4WbFfq3U(9&1Um__DNYxioLiy#tBdHaQ;7m&FJJ(IJiTc< z**kc?Ve|0qvSyvEm&22EhxS^?yAsLD=o9}>@6!9Ffqwf^u?;6G&j2)@VV5O6g$ncR(FB&^_6+fqhZcf8OM^R zBGhC(XZG&$TrdZg=EEm8v71dQlfr3|d1}^<>P&Y-$zYT#ul$NwoQPZy@mKly*m}*L z(1i+SCPD+D?o!i8E6-c+Rlx|(NBj+;KQp5>S^(t2OjHC0#wVt}>Z;wS)&JAOQ!&xw zxm~7cg;l;S_AVLUvYr4{D~tHqi@+OWGc7+bR92P(b|#%fXL4w0xB;#q`^a{18^iL= z<-E*m`%{7LQfYz1pSnY>YaMyyZ}PjnVSHlO!9d4#3mz$!>Q_eXUOS!TR#t8vY0udv zWRhF1z$LgNEzPmN+i4NBdTKt+_oyE7GL7mVxQh^Bt_``022#qU4NvZ!Y`-cMnmzI1 zBY*v>`}|B-!u9Hqtg{ubj!t#AUJE;eeQm_6ds<{(E0?v&$Zn*lY-M8zD~Xgp6{K8O zA63!e4kxUysI~SQ#|;3y=rxYS1MSV%TnuBOGhv+F zyARo&o{Biy5F}<1M;s!r%@5*}`_-!r49^ah-^n4TJsgQaZ@P)7HhOPLwYzVFW@I=8 z74VJA*Ovd|7uL%}#j=pjQ;oASQkan;_4chu`Q}CkOV!=NK~4eg(F?7NWg9oQ_j$dd zVwVoP{mk}YuglCa?Z%^KopQNnH(3Z?#lrYyEeV4I#HV-s{!(jg?yJ6iw>0I%1oe$t z9)G66fvVqTWgC0nI7Qw`NT7!U4&R<~Ke44fY(+QcUC<>CG{i1rv->a3z!B{6e9Wu3 zwxzPFg-1?~^V6e_yOEIxR~DTD8e&g))biOFU7O?7N#=@(iMiI4_$OeXs{3n?5uWng zH<>>F!Ir~LeDXJ$ckZmd+M6JMYOXw-J+gm%ov(E5CF9c*v%fes|MY$!EVLftj6XS= zB%*MclkBk(*c$rNmE-rvIaBQC*exHfZYRO+(C{#%0EHZP$d^E zXiZlmh$ZUkIzKrzg5^)C>!eyO{e5*7J6IStmaK)cjRxGQJkF{4Zo|#A>)^kZBPn=j z^a9WMxnIYG6qVwu>a%F19oQ&>{UhA`gEV?IxGO63-`1n}BpHuj~ypymGfc^d0?MpiNm=`~Fg)4cA zoo{*&f%_P``Z1B{Pmfhs|4`f9I6OEtAPCG^dQz4IVWkc6)Blj&N#e>m3riFf)RR-l zg`?J?+PaluWp0`EtXC`P{8&f-{lJ(L#5v~|(7bzV{gx_z4h_eHoshW^x0D273Cm3w zZfz{HPV{IWMTC_&rz-RMiZQ~Y!ATq2-<9=$&cN!N6Mx?wcMgNQFo3*0HAMyeF7KBw zFCqC>T3V8=YRuWDqa!qh=YHFwSj=i=PU5wlDXrbNooY{xxAkJGlXh6%?erE~+a0iO zCF#{C(Gv*0q@mGM9z@SxaP1GtPOiUcU)@-w_jU%+JF-e;it3yQzxFU7hL-r~7iWHP z28FHd2&6gT>!;?1lOl+*+|?J>wSBOKA~P`f()z3gDYaDCVopW<+-RGgdD-LJe43@h zoB=T^a&iYamd(o+63lkm zcXiT|?bgbl?H8LaL5m(zG8p4={z_4Gbv0;_Dz;TWqnC(57OC9BF8m16Tbgd{X^}(?um;Erz$He z;SgIZOuOu}eS0iV{4+nvgp(b1_U0_RggW;eoMrnpV=8Y^B=67ot-ujhKWxzP*Z*c zwwXLw;k0YZ7U@AiYec;8zsLKoSf)JT;Np#1y0ZeIp`ldL_MKA|`93Rif@CVtc!X>> zq*tw5g=57Fhi>U!Ni9JR`D@e_6`BQ?^nD=vnu$n0xlu z(SGn$IQOeAeCcgY^+U4oePR{iOEQdf=!-OS9R^Tu9nU*GL%HjVPEiZ?_j`h02>81SuT9!oons`Apq zI+&w_gYC}+InMqhn7Fv`mcxBv z%%WEYizio5;lB3&-@m{JBk|($xk>T(cJ7{`daR`V`=3lxU;E<+D-BKi+denJ_XCwT zP}NEs7#g-hjNhxTC8uel&oOd!e>bc3g9A1@h=6u;-c~{?W+p;iD|N(7J!k?4PF=~! zw1NBJLB6$x?n_!&u10+ZZj~JWz6-C1(uE(x*=z{{GtyvBK71azdFUGWWs3!NFy2M1N?ox>_B!g0MFtDThX^e`p8> zq*n=j7(9oX7gxf@2~-!2vldrMtU3jAo9#69IJ%`s=%~vAdw9B83DE^g-S}PpEU*2^Y2} z$78WiD-`b7Lh&t-tNHHPBQ`NEstkxAe;Pa`_?TOOr#}|U`RHA0) z`Bez;o!#97-@TIqSs)mKxSS8>N$bWE(WOEYuSD$?jAOlpLVxZL^+@(p=M}u3OzPxw ziMg;$yV!e_qfD!QeQj2f$PvWt3uj|48Ke_UTcGe3i0N3Mpf&2tEY&e%rOx(H~t0U>Be<++Pr^NWxCSdKI8ITkk!dy%l67FrUUcIs= zzDHwI(}g>C?ld(tga|TG!VT+#=OU!Vj(;J|B}C5lkj;tk@}_-Wd|6O%PG4WYp%#Mc ze|(|#S%*pDQGP4)@rjFxsXlLQo$%__!L8*`GU4yZb?Pf^`ua5*4nhT{`IZGR!g&c_ z*9Y}Ou0x(TZ`^ocQG8vphSjb;dslaf$JNqt!+EZc4wLY7Nk~oQ35|%jNNC;B2Y9c~ zcQh-o9+Xoh*p? zSkj`B)bjSNwZ-Kk-K0U&%YV`=gO6RCvoI-MV0z=&lU$O1kKv#97gXqN@PJk@|Gesa z_~;|Eu}7Up8Y-eAgRY_;j6CZp^aX=%DO=LYa?tq#&!o9 z8*WyK`hAl>1(9=1|u9xGveDM)1 zroC|M)~#jBgI9-}yjm{*cw6vN^7Ic^x5fBuodEhX0@^OgqSlj6&$3_YBH-9e_x$tp zGS@A-#tj9^_=CnT1W51O_e4_QnTI{n#iW}*{d78U`iZB=Qm0G{9R(cw>;O7O*v!A z$#C)FMeKWJ6ga7le_8sw?fIF-54DrZ&oYNbC-Qw0=JZ{X9Ui+E85)0o_Huv3%cY6m zDb2R#Z5v|a3t5knGX>C9x29u-QX6?ig&MvKGB4wm z+#Y+IgxDZ~6+PXEsaO9^y`A5Uw~^%aY0D=s_4f91xxV9o&4S_BGK`NJ7~{&jUCd^o zW#>J3@L*rxOpWQb+wyLsM|h*4>f82r+(Mzj2Y-sBH$w2yq7TVEt(i#%w_defPEJm6 zxB3YwHz5jER8*W=nYU}pvtY+Ya2R_SDa%MpGn42QUw0VlqkOy*hgLX(`)~w6@M~k= zsNqSd{`_l_OAE*V0d1 z*W8@L-oe3G4CY|5v5bit-fuj5drlhLBsZkVHk_|$QE9g|kNM)5%&+V;le|2;IJh#e zZvR7;Ay#PjEJ}o+E`hluy-sQR@f4iD=Pw+1C)3}nx;=T}z~J{W)Eggl7gmJvU$FUr zVi~oKob8n>WJr_X?=_41H7lHgWh7Er0C6}FlWxq9?jpp~TX)bft#}Ct2-x?Q?9R%{ z0=F2Jn-5aWhet->E!$1_PTpAfyZh(QpAy7<8XN5?mbpvI9RWc**km2DJ{yXJ+b}fy zbr%j0j$w_B+RJQqc6R2Vl74qKnCHq?*U&hJgcKA`>}C@C8+zVdS-EAG zkP+dL2h;zM#m7Z3kHRG7td_1W20UAJT11ac70uKRO!(!2G=xf3XywDec~OBsnuBYoxQzvt3yH#_^!__KFG>oICd zDvo#OK+Q#FobzyCd3LAcSciuI6$xlf)P!vrj;21o7Eu7eLsV$)opzjv3hYU6kBNs5 zLHN)aE;hCh)DW`r@_1HMKt&siyx=!?sV$Qp0%^kYZ+fuSdTDAv;=lpbYuBW3YG!*} z6+x2WQ1)WQu_ua(Wv=XNBcDmZ!=IX)Q%45DbD;DO2*6@lorFI4n?uZ`nPc+Y3MOoD z(P3VF3~{^j)vJCm*?D-#Zac}yx91QgeKC?|8i#}MwLb~^-WDG`If@^S@-F2pn*RNPHJT^WqPYtcPR^omByQTx141# z>Z26+w!;7BdT8g&CC2vH%HYDhks0^#U-b&GbUgucTh8_z7Ui?FD4)|Dwrb1a8cAnAH_o^Z1uUvsbc}J?xrg7)HStpGCvdMBe!4v70v}*t$@TYdHVSg$g-J@>Qx!9HK2v5%%`*J!mp@9p>4;S30-IfD9?$%Q zIS>*DOe^HiJo~pRN_jQ^=b?1tOR+`H_G9BW)>o*HM$+7gj^^Y)FFn?i!l zT|}rfgD1z~vLZ-gg$o5gM!!AeaI#c=*RU)m$@#T9CV(kV}Ysco=|_WGA-cv09`38Rn$Fz42?We`a78pZ_mSH`PSE zqw@RvN@Z`YomD?-`I`v0yiuzcs%*3GeQMT$0i4iP`$ z$dMyi--N#%Sm#+)i43uBPG$& z(ke$`Nu*_iGMSXaaumyYE1kV`Y8S6W(jDQjDUeVcrERB}zVh{{7y+`%U0r}POyEC3 zO5Ikywcd4g!6D=6QxLePb?-gZJr(RY;+gPyam}CPh?f`T(-Tx0M{Z;Pu2Tcv0R0KB zLFkt$`1sPjBB`mVdB|0>`p%qnWtd5wEBKHanQ-iTMx>2C_d&)_4-|@I4jk<3ujNj^ zp-FVe*N!qJiNJ0X(*c&f446jyp~E6EG&Fo$Ts-*YiT3hiPkfSV6F+t%%3Q*x-v|!5 zG;>(^{vX{-Od}Mj5_aE2@aL+2{NTXjBb*6i8xI~hAmQ>;y)Dad2NCvWW*~5)os+gx z`8cFssBGNW_{zPp`u}X$esf2@dE4Ru+XCQ`yzmDhRiW$u`E$z=w^M@S<1?dimk~{L z5)N#G|1}ooVkmlI3N<*SRpf8pyn*E?tk=_1^wwnRjX=LA+(Y0$3^&598yg!iaSAxy z7}~{sWZLGPZ1#eU%C^Pl*&R9Z{7mX@1_yy8vdTEJ+dJe~eG?HULScz#*w))HCuTn7 zgrNR^G@Ca(JirR{sd?`<_HW6DcE;7!75^K*mo#(Z)^%6cO1P1Ltfy&|ZA5_t+?JF0 zQBdsa<%s0AVL^7vxM}xYrpn*)EJ9&FGvv7ebJ%mB)QRlK?qdJgp767aee$BoGjk^6 ziMH=|e~uohSkOX(y_-^@v)xz$90?aXUNy!@O(P z6E6o<)h%1gaYgG{t?f}b5q8H7Lol?pMS5TU_H0zPFHM8W92 z-HM7`Ums?KuT92H-}fqmi{3#18_b-X&%Jtat4>97DaAw@7YZ1)C!}?q-Io>rF;>C2 zJ0+Wj>BrgsdtUMst&LsKhU#lrofN=2p6y zVa^}lm;fi-1Ch!$qL&~4{PwKb)q>7ipt0BnT=qCpt7FGDlSc4%GG}(&kxxG3k|g3m z85jHI+RK>NI^t(b&6k&e6Y0>A#YIJ>u65tzQR|fH^QvOC{`-$Pb+ON8sp~Ro;N2t( zOVie|jk|^4M?cx?mLvP5Cw{WjvVB8XOT^89rL24huF(ti`BuBd>lcNsof_vpr>em` z98Th|;L-XLcl%(CQIQPm>Wk>=eVW3pvH#@)Jde+AuyDa^qn@7FxQTLpYdOrc&-~i( zjL&{^QssQ+;g9rZiZxg~8dTRkWL{;v;mgRJ4WzV&Iqdb^x|4A;mI5J_#nAzhHO&-L98oXl!Z?l%yD;+bar;`5A3*i{E3z}q1-R&wGq{E z@d!DS{Jya<-MtYFC@&y_*>PJ+pXFZSEt9u-kLI>v6L%yX%>dluKP?uO z9EgQ$+19OF;lC>!-;rag`%b5Q=4Yl*qlVyksmR3q=-;yYjyu}xe=0%XR3GhL-qEoe zvuzYW^fwn-<24`6AMF_|NlHqx95#CLwu$@ZT86alcRjP+KJnR;zw=91C~+n$XMeX~ zmm>{+&J9n`t$IDZpD$cA9!h)bYWhPuCWD%uo0~Sv=wW{Nve=2&>{%N@+NZJ(dl)^R z#e9*-HicK(V;ZUAvfTBP=)^G#@|rnjC}KuO8jyBD?KJ`IuH5w$z+BG%Wz-H5^szx< zVPMey{`~H$EjlNn{}SpGfMJi{cIry_D^LBZXWY+3nQK_{a8NEuIB7ce_!1vtWP6xaLRVynW zqMzEOSVQ`;gPoBv+DqU>uhQcjwVuh}zKoy8v`-p`G?+ge6e#p)xLet9gUhW!6WRAO zz+n6DFSh}s_&7CC1xHTuBW`%K7PgdjPBE`7vkiVolZ+Pez($KFzR?BtO^b1ti+dgf zjz&7h#;!zbw#&ml6K*uAi9XxvHXmj0$!7ey@JU9=<#)58y1F?A21L0gl$RueULW#{ zshOJ!`Yw>-B54M|p&s=gwxRJM&G)HyY1Df@2F@g8lzAK8^f+C+CY7AVy9yzlDZBUh zafD4{9Mo6z-m41%NlE`$YU64^%c+3s_7HqgBhiJzB1tp<=f?i}fyX8?rvR-*`qoY3pIgl+HOpR)cY>`egFQw0-Y?Zv8vH(5)Oj7XUn*D&~PlJyrF65 zb`jQ|*X(iomSakrmxmqmx4crzvMAH!c^t#pPQe+~#H?g#4~iwC_aNsvT~!#pPhOr4 z)mOur0EKHKB=D{WD3Inl)IjW3!o@C2=ynX%~gas940(nHX4k} z+J;X<8Q9n$xj!i7)XM=l$QLH_KwGmHW_(xErI6c=KUlJ_Mvh(>5VN>>8%xm2f4u9x z)YW#^orBjPfHVEh&#_OixP-!V3qlvlKkv`eZ!-E?R_+^eYS@U4Pe*qtt~}2?@K_T! z2IokXH;UNt(U2N2lX*oqGyCASZgy@1@pk<->6q8l1sE<#VZMySpb6C6W%{Sawb8a? zIpa0%`s=MpFO7VTzifu%0$PE})>eAdQoi~5;v^}m0h9ry-0c)DkEA~_>L!;~qA4Hx z_l`XFjeb4in$`>h&Jr1lMCrmyt-k9kWBJ^3r@b4p!{`6V>z=EYp8k;6=>PPO=f=yE zrpR`Tb=fm3ZZvj%w|Hh}&r|^fo0L@#Jl>_;8gHFg`b$Lnnv2(y;K|MOtOJj+Mk3oN ztMdBa&eS_bAB9C;@izpB6{(!Lv3ZdWDXQC};rP1Xb5!{+F{rVdQ#usjp0xk?v0ELZ zAdP!Ii2kY=mz30~K#3{bfoyYKFK&8z{a+5%=hOdJmy_Z3@UYKe1A_xEyq3!uT3A#X zSiI$G{%D_6RgU3rkhR_kjKmjdYGtuwL(#k|GyZ+=b_3~{jul2g33!%#N=lpR>Ju^3aN(?k z_u(UHhX$EbC2uaJTaMmj*ZQt!Ii`yVHF)f1Ueh005MnjTZmmzPFZS8(;T(8!l=>q9sbC%CRI_d9S};gz z5*HPvGJN_MJ6gHZb(15(m&!0t9TXlA6&4P4_cwsH!rqTxZ@u;KirGT8$@7pT1@{?r z`q_-5>P{nn8jmCe+t~}hp2b&?&BW-PU_xPvLlnVK0 z;v4ks>$7}#V><5Sp19kb#14@3-%0KAk&`E{6G+9k+|=TKX2YUw^_8u&zjp&kQ4P8z zStH>#deZE)Npv}XgGO=DqTWIShQmoq;Pp1~z=PXC~QywUc+&ewmK zPA0tvQJf#}cMxtp!^&sn`iA>_a&lC-X-C&rm@^GDyoO{B93XXcJaq2j#X5zMFX8Os z`l-H5hpwEuiudf?EFg>yBecyoIUsP-PNM$wdIo%{DYjD;!8_Q_=4EQ zP>mZ|SjweZt;#Z=opIhe8kz!9ox~-I({FOC2qZzWP4|cjP3;!B^ zdW7GT^xfLN3oni8E{IpKTKvfsKA-J$-sY0oR^yzN{*R%3)59myYWn)xUhg`Y=&W&Z zSmVNl#EvDW?JD;wzr17#3m@A;!fJTCz`ky1_r1o0DS8=dVm{OXyo|0M{7fNDo12?< zBs%G*+V;J<-U!SyEAP_n0v8Lj)7NVwIA3WjcXxKa(yjl znMFaS5RTsIxez0vit;-SFFdYFVR7jl%3UFfq6Bkug!+zT%`-P0jD$}^t?zK-rgZIH z>M9K53Hm{0lFn1m77wfP8v>m;_V1j#K{CLXhi70L9w0%^9*aKBb`~0Uw#1||Kl5h2S5LPwi;kjEe0cd9=eu{VVO*TPb#-Htq6ej7ROxzq zZKfvfUGm+N;yM&U5br9h%KQT~G{P_P4z*t;AxVPU}bQ*+$WGX z{zBe%yTZ@sjw(-}YDJ1(-K^4Y!2gOqkMA_b4_0(`uhWv8^={vNb@;|?(20iBXS!!W zTHW>K>njoxX6CNl%{d6rZ^0Bnt8p(e5g?~bx?13Nvy#po3k&U1FKGZr-&(ejtqJeG zyLCsNYUI8RqEZ;U0 z=%}hz!V$*4t1%sQ2K!l=MdgFiHJw~f0^{`};QUzONUJU>-L@Rtj|wz`zneaRjnilO z{nY(O!an(aLl)b&8%R0Yho5+KG~|t+gsd#3hm7Re(zSb6A6CA5cc{Fpu!@9y|Abdt zcgx`TF)>C)HLqnGfgZBGLzbW{Zl^K#``vOdRj=f^Zd_c~*d1 z4dzgTO6Hj&ww*g?l8;B#Gc`#2nm5A=>7f7J$5lY`KR;cL1d^HHn*3~a}%_zDkL>w6xdj-E5{EG@GU0FyIF>6`enDMy{0vGAU(lUZi1YO ziZRwS8D~fT)l<1QPTX4!4X00Bqa`7jW8a?J#+df;@B3iT`-D$g$y2&EWS1XFrt){; z*yGdfrWSgI*$E4NQLf?&3M^PJsb+2-@>1;BlP#cDrxdz@mgtx8-6z_i@q%mJ5T(Dr zdR6-&x`Bb;hhB1FHTf>#?dLjQEC?x_&M=_pdhK!~$3)7BP4EMjVeT)p9dgx3RqF`W zK)-@_oDSN_&aBrdNb(Mn$= z3n;6f*mq+M(Vi}0cO+=kBk}<-L@w}JPFc*O+3U}O>7vf#A0Ijugzy=V7-1SGYm~#^ z%edYcze%dH1UC@$C8f`)Us)QrST%!bJ6+ zm!cwD3TA8pmfuBVk6YQ>-~RkrTpv?cnm=uf+{wN#Ud+~gTA$n-mzqkNXTjK4A~LzM zc9qs^-uO4K?!xgW44{xctMlL^Z)K`sE!~i3(v0kF>ZsUK!g*S++spe5%jxFXyL1XZ z%3K!j*HWT*s>xK!eYbf_o>T2m9ecco9N(k7ElUA1t?NJD&u18o@eOrvteeg#ne1mh ze}00{ou3SD`-*!WCps(q=AZ!`SyS?+V78HD`?&+_Gk>0mPGh9rN^|Zw4tZv%{3%(X zzYFIRbRxh3<=Magz8Wt$Zr0$bw&h;FGd+0O-kq20&!6w`J~~q5*l2Z5fBHj?$TpSR z>bzFq4_^9`!Tc;{^wj&gDNg}kjCAuXce!H@3NIKcza2&1`O(^RWM-!y_9y#rRp8vJ zsQB#RQ#&|oNN4c5GGGTZ1vN-u+u)xY zTpwMW+W*4amxLh3zdUh|Q( zo7_|5@rChch`f!H7T)=K5-@$aZ74KP;d^_Z_VyIpmf^|qO}VQ#`S>r=@av3(%#Uqi z#zTdOCJ8}=EI+@^r{Pb}UR?YX%sVNSZ=fMlMMksx=a%4%rDRYWKNm07Ui#5_ns01v z#ZI^BanD#%Gbd?#cEZ3{-7}RPMTg*>9)SaS?(!-6jScqCA3XJ>{HA8L1p5)PM%cfEPO+UtCa#4p;=fnd5u^RHtqu!z|5+#OW$7>n!FQX?AP z497V!ICOnB<5*ei_#)aYQDnx=)xJqqxi1!T0@=rwo#(G?0lk_cT43^apr)F-W{W!J zNnl()kZEB*@V%Rn1jM!dm-c{s>2fl+>;AsLki_33uyoWq;r)D2eV;%S`O@<5RLr#f zQ&X83fq zIxWa55@V#D6KA72)!P>C%G-pLc1Ikf4K~y-Jp?UKT|N< zp{Cfr!tL7`h%^8VBw;99EcwypNPYjSKd zdD{TRHFHdQ3EUSI6+XXUFPgoo33#!$ADvlWls`eeb1!rq)y+v~VR0k#Ja;uGUmk+&Ri@!#eyoLh^7*%v zlO;QZ(>c$(C9sX1)!R?GdW!+823sFRaf;yMfFx{n zX@9`~pzOWFvF`i-@l%9ssmKh4%FNzTRzfO8LMS6il8~LfP8ukb%1T6L5s_J`ghFH# zA~KVa^?SU#?)!V(zvFX%j^q11j{dpoQs?=8zh2Mz7~3j*Rn8n>ChY~pcX~Kgdg`^X zft1gJHp)BA-}gy~3J$#$asmQ*|M4JoKaHQdE{m9`%pq_VNGJe2-TL@ks^ znVH%EPhX6b3We2qO^>e>_!jWz@(&J+6}$NGj!V^ekd&>G&CgD8CBr|~TO`zIvx`UA z>L5=4?6Se~ufjnoS=kygPukbv4rgEM7a%rM;^aSkZVpny&H>S=NrK1kL|Yqf!Ej8wbi9fTE7FEP6OI; zr^ET-VTX^eI59`VKHT)#6ZN-mSDm_(l9P$gw=k6Wm5@{EDHp5#Tr{tcxjEHHZIM=o z{N-Mh0MU$y;SlPwO!cOS9?qu1HDS9!H_|q23yc_XJyQelAa^)Ae!e9o$c@wWp}Gy6PH7*23t=cuSS(ci3I6_|KD%Eqd#IGgeNyRo#i;0!k~0fD_4w+VZDSY*?c zPp{XJ;&&%wR;sZp%)uDI*Mjz{i?Sk;_ITGP6oW-DvNwlM`Z1(G)0{Dn3lH<=+^{4J z&OYMZUlZaY<$J}5Tg7v;xOm_#No!>&LA2T&c)$$CD-~tX)nB)k!=yqxJGU<{<*zcN z0C3q&$F^o53GY)THU}T)Rvpu0{GeMh)^;BvD z+Xv{|#>pz9>SXynvp>t$rRjtL0lan6VLvnad=RiGhu^>37skX$)SdxPJpw5LG+$oo zdTn$1bb#N=2@2A>bxNnYON~Lu;{Zb}3_y$J75RP?3U`K#p%~2yS`>EOZUyIV^W~lN z3OBry0KIfdq>Evm*b5tZ{do77ecflas#85#W!0|7Yw)A1M6aMJ$3z+;{;9T$Gl3xA zQ6UpI1krp;_15lI`}1%Mib?2RF#a8k#W8EzPbzMtqKKw2G%P8&V6A@gxg2y-K23vc z1ehpTNtpMt^7zsK0>R4B$(N8&&SewALQ?SkGcL*F)Sd!FqblS}HYq56o+f8(#<$Qp z`GxtJ&!Y0r&(ci#2@9I{5A_ekj@|QH;e1otFwmI&w+A@3L=ca9D+dbPhB+We!oVC` z&!MWcUqa}Z(DIqnrw6{2Epf=_aUp3ksaMGXS`=_F^TUq|)+9-sF{<^8L&^QU9}Y!Y z`E5mCM#;ccYB{zq%$F8D8Y(qV)T%&pPsPB6!P9#!T+R0?>t?N5s(4{NJ;w_d3o!?~ zF=Lf;Y>pH+>C)RP7MXJ7VBaEUb6;z3T#Jv7n&?UVVPStg6O{psw6^W~XPh-69BAy6 zkldDKi=y%j+BTC_=U?9)L{D5Ib>vIjBSTa9_KoD-AVcVX9dQT|Ggkxf!;em}-%klb~_ zaG|}@`}Ne!A8fxEp{ptxUpqQ|88m`pkCn*i9v>K|C2>e+vZ<{U?_gkz;?<74X|ObJ z_41Y!zvr^&`biO``1s${eZKR`!1pnzE#>k+yu+wz+$#X&Q=85wjJO8os6<}^;S|iG zDh)yj=@i1a_*j;*nZnt=7nU!WwvY%SDpI!V@`9LQHd++#_FTn4*ooMzE*oK1IHY^@ zBjcr!DOHeEPc017{^%;{5&fV=|$9Y7nyZOy4EAK$)=b-4x zPCgy-GUf3Oh`4%^e*8GImdAT|59lRm=p-+kGCxB@KXrM}7}7{&X3%<1W%ia#0|ziSKp*EY{i ztO#!0XgNi$4@owsymgD?8&<{t)TcW@ZWOrTQ79@qp%u2y{Q)>h5~QXoHKKOUraqx>t3D2YZA zq{4lMU6KI)0HIm6(^^^=~#MSyhP zKa!>Wm$;_ojBI>rP}k$&-3m%}3AKJ69p@6K<1f)$L9bDTsN#Npc4Kw!7OxK8&>inF zzu+bF%uIQ5ZS-4Yvne;_nBpKFAR@+>Oo)OC0HB5 zCUcsDKm8n}?fi+OK)+>HD};_3rN|xtQ#y!*6w0)+e!RN_twmpTThZ1@(+4bkYYbq+ zcr~(=fEp|1UCM5ldN;)I4kysE79*`gG(?HUrZ)5uoF9Zlac%OYVV;aS$Xqd_8U6OF zS^gWk)?U{G=?69+0VR<#QNllruPBbk;on#QKaKzhkyY2)N)eI&O?+6z0P6!;0KKtE zVP$!OP2R14-U!@`OxY4{2 zC*GelNB;f;n%MrxPzJ%^o14{FE^T`K+Hqk*IqBzJhcJv`4;|W0&0rey{hiam!nET^ z`?z3l!G3H5wqX=I+Mc0oc7T|bf)N&r0`4WS>@QyA^bbF!?#LIOA!}cP&@BzY?|*e| z0u=UMSG90t*V1zv_FlZmi6K%;_t#03F+JtJ!L?yoASF*fDbA(E*Bfbf-U{mRKB2be zae;INSSzBM&jv6c^yz#osJ~>7?T_(5F1Th#wPj8IQv=_m#j(4Yc$^--6&IEj7`JNE zwpbz9qlp4-Dud>1dofteH#H(6BwDK0nu*_DnCn)9)ZOW_RPPK){QkA%-C>ogJ+Ei@ ziMb}{pB;1KT(K$KTd&NT0;|6d(madL3ZGSU6%2@C>P11>HAOzWi?}llF@h-bEkrGS z;yh9gI{|TsB{V$zI?$SOVt*72CC+o57dC$WTt*x;W1@7P?47>g;R0*2c4A~%A?Rp< zair^?OS!$5=^)U)GZjZH9Y-uEN?#SGK!0~Fi>H2l9}lVYmGxOITa7tmR40KDSblkh z0$E7mk^>zI7f+pyk1O7jk``WEBJiocOAWTe@1??H473}``jWm^IIdr}oF;3_L`#K& z)IasxJ+zECtQp^b{v-}4L6a?Yj{3@@BZ&Eq1}aoEu9_WreAX=wC>`4D)UI9?xR&%M z$wNg`rU8M>sof`ZdH~wk3*+c)26^;y(20eiV_sgGWcz0eSc32t?&bY-@6nG2oO_~K z9wb5%57N2k`6ZvIqaP+>!FE+uu7O6EM&b&Lb#wYJOMyIK{)@ch?EGXFaa={k9Lbyp z!~=WyFn{`2^FCKleT$u*(z*>#)Ds)5G*(7MzvV68zTG9pe-&vC2XPTGrrK@S+#548 zQYgL2=#G*}!6^-^6lHm4#B`Wg?<_vA%18VKsE>&E!iq84=to}D@{jE5s~jPiNNI6jAlnatxMB(-sx7`W0GTs;j4H5@}d{fCqog38rhj( zJU(?%AA+n@49A|j&0O;2xVd$TD(mfs#m7lxet_RlFKBYwX<^|mLF+gx>pGPfUDuAq*yI|yh12z zY_@;@wxKSf=ZX86BbEs^pB~wI{?cwx=3OKamvAh<`^?3M`Wh@)H}3^khNm{vxjN_g z85dJAOiRJ+@BjH((X{j}nw}jG+=eqye+NL|;TKs)H`{$|jsT{ICCl^K_E(pnlKsY` zH=wrqj7i+e@0Bt&3ZVybqo-LFU0j5@Rj(8sw7ie|ll*Pq$P;k97QQFn#WpYnlyqt$ zBYi3JmU8{(f*yUnvWMS>-8ly;Y=6Wr&8N2bh@P+mO1!}K`8Ld=h+*)VCILdk0H)?2 z1}m@FwPhZ8XwtONqWtDN@=06UeFO`|%*+K+^O<{;2jeiNfieb)u1n`W&nNE-sCn{9vB%)xS9mj{%Lkl z!N-jp9FXKZ3)z7}X|n29f`UCeSw(mMzQ65wm$m7WdlK)ak7%L_s|}MFG2FtFeYk!T z*wSBTe|#o}*l;io$+Pg^yT5L8Z%a5Q$fGPR+s!F|fb2idr zd(0w477mGU;IHcc3zIO`|GYAENPCcR>*bLTvc$dFpAp4A05LFkpCxBLs9YXr*m>vH zE$@*QTSe%42nyJ2tf;)>sne>DSUiPvIyWaH93}qg(U}NzhC~%dNFg*tf2MPpj7LkK z0O5gXC=B47ku`$4X2=iR`Fu|Yl{l@i;wy5=--RZIFcAcC^)*|C~KCsgVJ_;1a=&G{pz9iP2ZjRnNkP$ zd0TAE&^qvFX>sN2@cYxdj}G@vKniEp^OACEvtoX;{lVeO&BH0S^;l%;oN`{-QR-sk za6@1GT50o#LtIi)`r8C+L9Xo+RIdtlPq%9+NTZ(pT>?w3VhOm3vAo`!8lV@ztTqyK zLwGIIy>bJ;P0WBot~q-U|Gx55gRk!94zO&PABYu}avzN)bo_#;)Gtl;M!0W}h)*_W zAQhkF5Cjtl>W5WVZ-v;g^t0!X1!+$JDf~;(4dD#JAb}?YOXhIc2=|9^+bGLo>GF? z62z5#LXFg137Ns%$5mHjoBd9o>9OaDjT35XF>ZVr)cc|RSpChN%7;u%8LoDdH$wW@lzHCCfM3cF8zl!ca)wxBaM>*Jiu7 zoe`a#GPu$-mX@`qI%nCS!ewoztsfE*13k+do(nm(f15~s1e?Epk7&a1;LsVQt2Za-f$(rsT3+T0ZuHkj z)H3Xid}%|t_w0!@{R?B^)Cv;a_$`R}t?|*LWc4-CzpsE(L_7~NQNm9=r*+}v^iqlG z+TQGJFAnupnEo{hsIA&2F@AcB=kKV#MG6@Bpq)pkzb!9*TKE>l%(~fqgPfd|bt9S0 zb0$5(T_t*~B>)@0lAajZLeBTQizSNb&s`rSyI?__f%2x$7YKg#v z1UeN}5Aflg!^tnMmMif?4zvPxDrY;Z{3#9`;I)Ma(ne*r;O0pZoNP{@#L*1je@|n} zhL)T}wdk1cw(HixECmCT{+pm<3|AqAF_Hc2>Kihx-`wOG>F%HnV_w>8Wfg^ouO%`F zmrhM-v$_;mciFw?jvgE=nVRE`sIK15z`d~J@=pc+5^1^?`t~l-4qjG7y%XoAy63bnI+YWJBSEIMKB~t@0WV1ss zjh2;lr)kMqZoooK8~HbWZ{#zw`C23SHc6Js+WOc1Ol__&@=u?8G))caiM>00jRoHr zpC42Il3Q}`I9FFUa45|>1&0am6S>)Iwq9(!!zv%W8t1bzvm&y<7DB?bDPbo}Lq$*{ zHYkxhM|!$Rfq~L+4mpdDL1X356RQy*?&-04Jw!3|4u?;7i)ZbPE#uz-Em z?~(gDL87?K+t(o`vFPZyE&np&zj%@N39)q`1vIOxM^E(po~l|iD&+@W>lDSI3+ zYZOcmq@X0$!{@+YWK_PKa++uOvHN%zE8fXJ@#ybmsB38Wd*!i^7(;n>_1Ca8+6{Gl z*bTE3ijI5815=B`VbitD!cTmk@BaS2#GWVH0B#PU<>ecdE*-Mv38?@O+xc9N(q>^p zpQ})FA>J8r_ix@5ZExwqDHBc4>I=!r;u#aM8IF=rtLuMxN6OT4_rl7dpkg=+eevY%d7dJh#F zZAEq~!0Xt!|JX5VsM^*Q*!ttC(_Xvy`?sdgoEZZ*&r2q5-W9fgBbMu)JvK^ zAnx}@EbUD$ws8B-P(S-aj>sndtJhM7o-Qmi^(!!ymDT4G1Vnz9{rCa^0^yh`>InE_nGOinvaeiprucaU7Fwh1kZPLG&ol< zLJY>I;9^0`HgB)Ph>FP0*S77sr|@^^T$>#?`tHK+KqfTud6#%YozW4rvqgoBf&j2U}>JOfGlJ@H=)Yx?7Ue) zdES;sD|hSGl6|I~KHG)uffn?$<$?WuwU!)0uYVyr)GqDL7b?;H1p`Nj127d_0* zw&l5|yAxj$uT9g!LUoHc!;Nr_Be1qXtdID4t}8JCG1W5-F*WVcqlGnp)4wql`c%)N zagn}`jS&?FyuCi6P-SmzrMob7PhL!-Bl509zJ|0}mk@7k*z|xH6x$D+!*kj$w907S zo&UtumV4K(M`n#|-bShI`~u%Le(7=MC*mo&bF8D8HZZV_6^VkMf7lc@6TVBF{E`=_ z-`_D0F;2T;J6mSd5wf#Tm z=M~NmQfbKOXx86Xa1gKH#o8*B-P|;SU~M z6gAT?`q`v~6L(2NoS* zU3gjki%6}bAJ6>!qDa3l^pZ7?&e@?smG0TQjROe091eY!j85$e11OF-RGvw1k>~}< z(I18Z1>}Y=up0W16-yy1wwRlyyPdd@G|i!HWz_iqkF~_@-y=DBa)JoZYH#1w$qHRq$~2vMJ06`! zL*KX5e!Q7LcjIzsXjf;s`>yNP)nIeULu4W$Lx#Ex{m;2+Qm7jteyc9!(kt0+ygdm? zaBkvGR87qu(UTkpnEfi@qQt8mI}y{_8H;9gql2R=SM|jUQ-5P=dwUUCw@ZX8`Tf)k zXQ-@`-{x*#qr1)bvTnN(AAKwF(a-lNy{t=DHN5jD?C(eaTT_jm5Iw1o;=W0s0kxYY;1k`VRgu!IQez-4_j+nhLcsy z)Kt`=`9C@^_>H7C#uejBb1r0k#eJoq9v_aF>UHmdk| z(h3{h4U2gvV`paS^Vobi?8_HV$CKj>+*z3P^Gs-asQfZ zYZhvJD(d&uA@okrZztzhksAXjQmuQ+IW}!Jc|z9dV!>JSSzBQ^S!D^)z|-xnmJc30 zAQ>2JhV^IBU$96;0{0kcuqTG2h3)=*cA_^R^T?V3^;(R*;GNJzudG*nype@(9nf!r zTBO7+wI1rIEitEf!umg7*EKOQLL#U$Kf0;=U8o`xGIiM18l8h~EYqwkEK}{n@NWu? zjuyx@_n@VwK2d!1w6ye|vtf)}C!bvU!4VvsQhQf*7{ahx2XCDUgdG&6wDgHB*DI=c zRc9srS0#ZgQBJwD6wwo8a^*_WGmqH+c>4RoE(bk$z-^fNV*T+B4fOGvUH5QVe|EWV ziDHiphSfGoABG|L(IKUGc3p1BG`NAUwI(5)#X;KZT^Rn9&}bs>)un7{X_>s#i>M!$ zczm79r0>GGJRgh}``*6ReSZ0oY3WZ&(GxNo!^*+`&fn{R^U_)RZZm4J zTe7=3Ao^s(ll|_nu`w*mgIp)R>2z$&flg5XR961erfZJVNSKg-b zU2TkYdg3v8^5LV_DpuDSpEhsa*haWq?LUA%(PsF)8Q~xase@@WC}XgTlEO}oYs?cPU9Hs{^EPYlPOI(cpHW+^s z;xhOC*jdnR}7)`DL%x@+F&H%1aa|t}UAy8mK{6o%C4+nYnsk8m@w0qO*0)t<4Z9P!Q{J-XX!DLS|V?InDe z*=T7m1XcRZ&*!vYO;KTr~Z?If|nq7N<#1vLl4J~ z_cZKi8BzkZqH0c^{+Rdf1u^<{0jB(|QiId&{HIUXxm^a` zly2mM#+_bv89{Y*bp~FQg*)$mPrJgbac5`A7=zlX=Rs*{6$9cBlU}8ouYRJ-urS6ba{h%Apbr!=_`M&pjl@ z6w*Ut5TfFDH-0N>W*X=$;L05+4u@@RdV2a3^7IKhy5If3nt*Z)&$Hl*94FC}9_FZP z%}=2EEZ$1P%)4Jh;TIE?@}lS7|wzAa`o2 z|2=L<{pX^ml4lP5@)^;hy=GapGDky4#|!j;HOf}0i(~DoNTqc4_Vf#jigHdpP;G+& z?UCdXL(N`j`_uG~j=oXSPR9Qyb~8TyWmi{{`=-`N6mxs6t+%4!2pbuxhe;VR2(`Dh z6+BkdOG`oGjh*jxM-GKl`tUR+ods7)+@#a5c$_`koFI{x>vQ$;_|e;T2nd>%A$Enu z6omPK%&SfI&AoPiA3fFjJ2k-@wiKsQvhLiqt1)`3a?A6l6faiVADgXS5Du=m!#;0Z z0NDyqt1+1!g_syF(BvMF72&7L!0gD5*I)u<{c)1uKA3yb*@Bu^kC?<5qAbm*Ph^E~J8c}d8 zQ-YMEl=s{@*tvtrEt5@d$di|pWXa6TL`7K-`nv0Qm#p#Um8E$pXc>)+jy|w$gs!g> zVQJBMZvwIjryzQC=(vCBN#ps6HSw@#s6g9_b-g*z@2 zgk+|=de}}8t*#DwW#lH{)6Bj+KmJ~(>6gY9*Uy5X2s2)+jD^Llb8|heb3Y$b`&U50 zvs=k)50Cu$FE1Zx37YBf+dL>Nq?Wdyxccak04zNy*RM~a(hq+IMgTmflfg??1w*^K zr^jN}@4S=>nIy)4V*x6-A-MPK%I{rtbaed_6TSVMb3Z=^!EgC~ZZ3oR+OqT> zY3XaJsmvtZ0|&4Pwa}t8*3;ADQ1ek392~UtT7|eA3p+avdEk(_c@$u0Sn?NZ2$5*% z=xV@|-Nr(T>kwIB+xYEe5RJhump3a{q}X;B7VhaRsO3Qd#`G}N*jS@!g+*YeU2|y= zCiGBRrE23od-eb+KqvOD_}WnS#vq#5xVx6Gh@5tHywi0Z$~(}dsEM0- z$Vwvk>AaeX=b^xrCHB2Xj)cIe^OgU?pFcJq?r9t{Hhu}oC7_*rzf^j&FD@=Zx}8>2 zQ}aX4aR~=UM}n*T{=G}p7kx;QfT|tF=fBKaUS3Wp!O6Mwitb{kr3#OT(12todK+^cW>{U7={SG`yLU%z<+KG!PTWH&%Kr}f@BXc!YOM@B}5(4pht;MgW4 zl-V+q*_+>S#zw=yfc5LwU&dyOR0LQ9{WlEB;)D(zy&050>43px+Qaaka|!;5^lAUJ zylli{_x-~GqfS|(03qf+8-6$PE$SM+zluhds5r4SKYsFAT;PWfi*V<(mY7YE4p~^leED+n6+XG!@cYT0(7oFN9z8l6RJv;J zVra-js;;gkVg8O^5QHPXJJjJw01~AUicjU`e|C2}9N=*&w}gh!{{8#=Zy2csLM-(= z>MI;qHqxO(he(Qwic^a|EoBzvmssOf?a!V2vh7At5GBGHCWkwb=Qt2!>R;awHa0Vh zz&S?0V5y?6q{NBv5RjC_iO&t`WPTP}PHtN}ySdh}HQrz4#4}`@7>%lFkEx$!jn|0A*2!pjq%L~!q zIFGrNdA%o3BtsuNv*QVJ5FISa{-2#+$$l%*7&&_NG2f)UM(v}<_xty6JgBp+(}=$h z^Hx1JWI+Hj>V>?FOx-|ZEZ6eS#oq0tQ#Lm6Hrl$0ojqva8MPJufM)7k_LJd0%7EyD zwdxv4hjnZlV)OJ|wXDb-_!IhP&j~+cbb^3I0dAU+cs}(8k_U#QM$vuDOJ-Va3 z4HOj=`UhX%fE-619(+so5#f=sv4L)vDy^lt@fK(vP&cm4FF$x7@T{!Ndgae=5mC`# z*w*ab8{oj4IDD5mK_&6d9mak8YPFk^uT<5!uH~XvfG0%}ct^)sSuRvevvqA7Z46I0 zJ`@*(!7IwSJ>6^}2;Ev*fp&i@I&+y(NTC`e>j!BM^#nzWR;(V%*Y2*o)|qmLIj3u zw{J&ub)ERw(UDeO4zG0<2xvZe`ZVn6Q+YaididOt`1tq~6csg$j3!ImyFP!ukF1Pm z&Gznu>xByeRaI;HMW&Xs70$?ZA|fJ$j3osHg#-`#rcJ?!C;dnZou$rPRO={CV(};D z-?voXh4So)*RM_Ix)UJ%zZ(^k5}x?>nOW|u<>glZBC|=*Ffq9%_X2XH0;LXd8H`)y za+U9@J;oFN9K&~zmVXU#TMrh?;XO2?>A#64t+#?jL22&g^&Q2RPP#pJAAV;u{$mJMizaY}qo`ptO1OW;i_3 zAQseP^#7quOI8+G|u{DdoWZ0~(A5s^(Lu@0RlVo8KAcLv(!95}(uUh;J z{|T+N9C-ZraT)g75tj2~9kJ%mFN?|B)X^GRSloeZ1(yd*_>8>(oE#n)sGVN)G1S+O z`ZY82ZP)JIR%VHTffR|iZi!s6ICQ9*qW^%tz9MWuzd0)9jr+;LgXF25a&Uk5|Ty^{yNdS6w-uQ~dc$?~tFdy7r2x)2yw_ z((0p~Gr#l|1O?S6roKA8JK=KV^JnL8FBZR>4$weA;o1R9OK(Mq{K~goS+_-1)9dQhPLzt@Ay^AXL^sX+xSxM$Bsh-A@j*nsznfarLUC;xdbo&mu5L$u7y zI(m8=mRD9F%Ezzd0tFz1LLDf+sK*kZW_ zwa5r0Z~t}$kQ-)FR4hAwSKYZwrmns|a6sW>d;2%k^N{v-j@#f_y1n&(EdU)Yn%Ca3 z%?KbTj(2C>_x4cryfUHf>bhf0_w6CPgIn8YZMC(>f#$WMT3^{+RW+Y+Z(CTF(HN(C z9LjL(z|T`mj;xL3mHHoJ5<>?L>_X)otc%Qj0@Bd#U)mp6VQR*)G}F|lpysdW@%!xg z0UCKhnc9O1kk*c}REO#sB|O5{iAzYtQdR@{FO!`ouS$_}`}S*!ejMWcL-?u>gacCf zyocZO7<>8ps%G84|Iz|c{icDIR!Gjnhkz9fh>D4oA?7D`c^^SR();u0IYSc@Kvw0< zqZHI?d@;Jr?mOS(f&1nZrU%+@YkfYMDs=s~r0tmi7&jvA)zF|ofyVhWswG38 z-T1RxLqh}O9+W5Bpl_9Bc&7#;`-JvMii+1pbfUV3hJKDNk?hT}@IeK-^j>BrHE%2p zv|wqeu2MH5F;&j~scNjqtH>r|Mr+MK!=HTLo-KN?GKl?F@62akC`mAk2g3s(|My!>ep5yP*&6@@f9oZ-Scib$@dD_udM&{KBR^8zG;=8Dhd_;O>{(_EiVt{i&I&P`%#87&%wzlccS;>((iAwteSPP z5qjRl;s`Z_Y1y76Kru8{IDXsamkYIL8Wd?Cd@FnOSbOo==fG^?^toyWi8{xj3_ke` z=Mc^J<)H&ia1EBSC#&M%UBhM#k)Z+m_~{>6wwQ}v#``DCCsGvM2%)W+nTrtNriV0H zzDh6DpZWRu5wiAKTJj#tJGpb$7<#u*hOJj))&9_86ubBGWjP2Jf4cX01DjBFTN@kF zg0_jtX6WFoV`qoS^~Za8c}%bpV4TbR(AEZ4afcRPyUZ~iTRbBu^PfF!XZN7AbPI~| zhk1FSheU#J-`)z%oUh~KF*P-s==Q1`8)@J#fgkpEz5^vov@g}rXxeYIq@DS z%irq%rHb2;jfqVtCSC1Py|_T58I`=fVKSCQGNV}0YH08RlM{_~3&0|#XhZ%;xynH1 z9CJ8Ut|gtE(%r(sg7MNlXrOheaX5oQ8Gb-xT7Vd95ao3Ac&{%LHoJO*GlvFORJ{&I zfg*?kidB6@hQ6@S`Indmym8?>02z8(C|W@z$_CPw`6`#262wHr#Y0hLq};h9<=C1| zJp>zuhq<}?5vZVU%fQSWOFaa+OB8H0@Hn}blM}T=KY@7WM2!G-a4_4rMBNI(dIX+g z6Us=;GaZY`4Gdgz3@1*UxNz~}RZOGcIs*DO1$N{SGdbDW_c7IYQd}I2e;0yZy{1{{ zKptz1)JnVwGP*uQ-XTDW+JxM}BBG;^l8mAoCC3UFg z-%m?xOP`r9v$_u5Yjd2Opc41)B==RQ8P?5yyjD|OZf>|lMnYu!2`vPN*h zxmGoHY=43y5^ffvr(G|;vLhNo>kIYZRBWyK2 zBZ}}e7HX6pPk}hlO1E<8-pChBlM#;iUjHMLKlt8e3U&$9VR`4{u^^TTK}h^mb! z#7GL5a&ylWJ44o=DPW`tLh5?sINY)3l~-it&vi-~8W_Yxg@?y=IoUW6cZ3wkBJTkTt3}5)qn&kBp@!%sJ`}d zgIX2kn8IOxIl0o88+Qj+M6InVV`MF3OxeUZ zzb@|3D*`l;X~0FLr8P>O{*LHNoz2(DonPkr`Ln!`EGUao@SW1SYZo#yGKdLV12A0u z!x(Ce^i`=Rh?+rxh71d^A2IFm|4fCp2@BKUaFPhW7Bnfa^JXb2DIvyGd-m-4fc!^l zPI&HRe5Ct)ZsqXOPM_HpohKzF@uN;c&B(9kKJOV?n`feLxF)Cu0FvYK{#KiZe1dEB z1JjaTg_|!=s)aSHCDSUFCHVU#HVyVrrdu|tTZ4n`+#zc z-Wr6$>anQ&Qw}w?DyY3Ud0t_%hOl+|zZ0dn0hw2oPFY#`VNMPu33|R#r>aS~t$~dL zFFQKe*9G3wbKksa6QsBDUiQ*8(`><%F)lfo9;&{Od|r$nu5#{1K!QlW)3%jObz#ZpphU4ml$R( zEya@+ok}jAwEWj?QGj#oN#FezLJ@}?F?|kOPp@h1@GvHZ%c{3HUd7hhI&f-g%0sOR z!5-!XftY~cEl`pc;1pnuApxpV5QydU4WYkBMMER6Z!y{3zSJw-Dua*7q3)+by7%9c zV!6;K)RM$RWpH>n$}i#e?VY>OB0bE{*Ex2qU4K|E!+GoNP=6bl_Fgv?UZc_c+YnXH z4XE@UrXZ=PT)zKkbmzeSZ}(-F0=^4G+|Ks*md5QMFe%+Gj*r`gVhV^&*Ky26w0G`$ zLx3ty0*n7QkbkK(54|DW_I1Lr$Ta<3R;sq3`WpY`$-9&Q5w*K^zx&kNi%s5;tNBd8wb{(6RF$lHO($YFy^!?xG z70mxzN;WuaZe+yVk#EJ$s43IVYa#7*0~Xa&O%n9mSXAmBXjx;!SP0E{n4Sm|4Bk|H zFqdhxX4W~P`r5?Qmwxnqm!y-EG_eYmdE)QCr>o>hJq_P2RQD&0Jw5jT0d+MXz)@1l zu^9;vN|;>NZ`|m6eitgC*t>8hB_)yWiqX$bech*^pitq_v-j7~_Ul8-i@zix=qRRI zKm4lzg3Fj;X<#(~SAknHKgR7IYH4W^1D*fh06~b*t|p9=xOsS>$QBA4sAvwU2YSx= zP*v55I>p+j?!j3tve` zj~*TP`Pp2o_n7lzmcqhW)-4F1)BBZqpIW!K+bv8y-w$}eJzE{dc2`>d=ub%MTfMgC z`@4n`qWYpYyXErek2M9shvK+i57PL`FC*?;)(^^uaj+eopE z`!HBWB?1tr`YBW(Si<8Mp13C7BZj#sHYiB{Wl^PKd}qs+EySP)-X%=#?(T3Zd9i2M zzo*Kd5AIlDd3oYWmw$%C&FL!yTp!F})`4vTym&TYP5~@41+Tgv0}1sgb!=l0VE|@e z00}3n%HIuzPtW(%yt*bx>3jFK-Ab1Cd4&ZJC00ZaUSt)h4I23NVdoN;loSa~ zIxM>)>@Mn^{myQ@*8VJljRw?22^HV2V%5T46O8u<2OZ-6PoO-A#TG2!|AGfe;G^we z;5;2FZgGi-@c{!0KFh9D#Pkmk#}6}fE>qva$}}`IFk_=6rivDSB_;vUzt?gF>f2y# z#jK~_f*-rU9R}gQy~f6@+>ILBSV)LuD$v;t#Ph>a8G_rh0q}VUuJNDW+F4}JEa%*{ z{g32`iQ<~me;YkSz3J)cAvS^-xd|d2VvYf-@J$i<|11dpG-OR$?SK&o^lBThweSD> zmBPbgo|;lNrl-xLa=7&yENYM$&+w#~=ncr;$h@uE%>;NAXR6OdlB=tKA-U~r??;-7 zAM*>C24lO`*I&B=euWL>B_OCo@xhaCMhJZpO3nScy0j?pB!doal&%W@^Rz)x@irV^ zgkiRKw&gMb4xKL|hJ0+l4>^A+@-;g#_l}8w|8ji137lQIZpp>i73fB}R2kI0zVQQe zh`md5XLAR_AGfw1K3REXvu#5(>&ky$*_d^){qOsxO+520I(#qN+qa;a$bYwZ5{(V~ zHiID54Jd&YR0QLNWsHX;^!3k|vPYn;GG(cc* zBEl_Xl`+NCQb$+fbRimE0S;TG?ci?`T3LPR{41oRnmi4;Zu-4 zefsnuRra!x`OICmQn>6vxBR^lHEH^dW^W(N8E8TLxuxzevHB;+dF_Sg5k8X4s<+Sd zw|WK7sck68S$KFDF$-zAs}u8^zxC##$wPl9PMWY@-GddM7Xl~mmzMI<(aF5Rst7QI zZTejHwryJhP5AinBtd6k(9*VSSeV{|&vtJ4lt9ZwuUIXT=Y`7?VSo#w&YZI>DVzHh z7&ly4RHU_(jW$Mp;ldDx2ri%QVl99A^l4yPL{A+4x!B?FHsx8N?WSh`zm+NNP15F3 zk&*r1zlWkhASzJoDzIsInB&yz{;BVhQSxC!T7HS^*S>yTnzSdP^^Z0Wf!$-{eti1Z z<$qHcEUNZmp9<}1TWD}&3w$*zOBhQP3Yp$8Qp~(>ewUjTZW8@y-(A-WBOxH+0J&OX z$`#AkvDYMiH35f0;4XF%F-`z#W@hqSSllz-q#0g(z^E#!YIS4vr}zXqr!nB52+{`d zO8t|QZva@%`CGlz=r`G|U%&nHJBOaA6a5%W(JGVH&4&D zb#`*F2^|c;=R=(y^XSp8lVumzi;Ih+eD%snX~vm)i4jU~Z!eZx0FY3?E`nH3V7mj6 zlG@LoA?o;61AEywO-(?(h+_tN|DV+k$_^|c;qeJZ^15D6#$Vsx1qB7wnp?~#PdFZV zvw?rm1iT?uZWXS~Or;C%D;qo}6TrFn$vH-u^ylxn0l0IwxMc-kvfm^8dQJJ($@I=+ zXZ00Q)(b+$+v^J*(m@2?KkG1TJuxQ*y@aU$&9XedyRW2=V0i>^H`ltM=%o<=d zb05FsRKKNLEb(H25nM0Uje8R9#AILoU9D)J&`bI^7Jyi@u#yN16?j42%g>JmC<8*b zyh=(+qyRDV(tFRIaZpoJ6Z4mJy&JvdJ(y!7WKt3nk58ZKp<3Pl<*s;|t5>HmmUxg+a@Q%B*)ez09D?9PUxG0# z_U^i;zk6t{bi*e`B^vNaVZ-7tFGSwVPwC*7`8W~V<9OS zL&IOdjUh_SPPBFkzAG6g;oXdOcs;S6sZVzXWa>P2f(N_&xUOIS<&Kxri1G5|ohGyJ z$jEOeW}GkTcSsl#zYQ7iNSIsxUA*94y1|))JwEn-ZaD5gTz)?JVgOGAlZ_f;(UG0K zwn`@aC5bH$9LL;nxPYq}c!suL-p=fQ?t}`2?45Hf#BQm0?UDDIA;v~}fE~$S=x4`| zQG5X`?QyG})0h13qm*}5ylUVdL`LWD5PH-Fb!lIS!n})Uuhq(2H($!NYkbEoEqi{t ztNWg4{PDy0?T+ospMJW7o$tt1Q89NB8<5*2M$%^K0r8vpWM$p)sffxh?pVV0>meXP zNxItjw;Suy?*eyCICa1En@ziYQ1t@Fu6^#@Pp8B^tiso?--zo#+xb7CBBTJcEGR9o zGlefMEy^ei0Z61TFMPS05+!snmO@;`<(Jq+NkV0g7zeUm+pFegBnMT($>;u|g)UJH zpfJIaMi!&N|Afs3_TxfloDV2kXB`nX*smp~>F2kBkQxDcvi(|;mfI`^cO#f`JSe0a z)}TFOcVO~n2p4jhJuk`n6KI>^WqrDFW< z<28Ukz+sn>3{jx}$j?+Hl>N+zZdg+8#R5l8P7a_R8WJtlI>N?UL4gB^rw<=KRAZ2Z zpA1Qsx2h5jfR;NoBPSJhpBQm)z)qtPn}_6-lARrzol>%&G(b}UTK^lw;sOu7lJ&cO z%ZaSES4(UC>gsA|iBqD(uZ4u|5w~A2wY47B0Gr|2h5L&%W+-~;0{(^ZRcxowZ5o*N z9O>)h=*Szgo;ca=NX!2?11SxHnmiympt=+j0eTadc^WW*F=4G!V&a$3gXebsMS;b) zZ{J#85o4hxkpS>rfQ&q`Sy%B}<{(L)e#Jt9`sYpo0Rbq$r4rGH=*jS%aHqnsT_FVo z2ENoEANu~i=F6Amc(Y6H?pl55XDK~PH+UQ=l*>qYVsC97-SgbO7Q`5E!5Z1Ed|oMS zbc4sN_|EP8(!X6Kii*Y}i|k$Gy(^pT3qRcbOZ3!nZP!E%B7E|&tIJlm=b`;rZJrokUi)89O9XD#wSmH&i$?CcarkoF9J|^ zEd7LDHSGq_Dwfzi6koq}%jrp}9Bj3fiBFBZRttXCho||h03!k!j=3CaB3gLlyu?0+ zu%X6b0=Dele@SEehj$1G*`R-c_R4-|XR*<-F|A?bL0g~>VKrEXz-Me?5`s>ky1stB ztZcJdG>UUxZtmWR`GK)QxssId*bQu=PkfhT;B3F)T%TXGJGW*!);AX0b~o+2c=4C` z)?;RiKj+II?RwWG^tTEqliVqFDggD1Cqxe#K}r3KcYgxAH(f%pQGbWqLBm`fk2s( zKv0&1Of(;c&NXNQK0G#;hvo?B?Af!VyUsRiLy1;3Fvq}HV5BXJ84HB{5DWr9#csXpBf7flQ$f{0E5;oCc7(ju=!iS$mQkUn?Zv`#iv~k-JLmjT=|bwkz%4?Q}1F zyAksi_|C8blOv#ox!`BP|rRnJosA7bIihu+64pXL$`iZMocOJ=|`Wi-Q+UU3i zm18(uld*RtmO_K=wwW(fk2BxppSOb-F@o0(TV?`3C! zFJkGtbD+@z3(8klCmL9OrMq+ChTRhx@ooJI;wKg8Na2xmA(01~9_v`1_=9Mfr(;MK zl99Or=$1VIzlLJ%yw}e8sI6rTm2Nk))lZf^W?0v^yjZ(!(?!$ga?~n!89>ynIPQyC z*t?t2&z||fME%^eXA8jgB)D_W@D`Vtyd3tZCOG++@f3YDJ9#n!Grgn?aeRaH9Up83 z4yWrdtAY?AGsd<9SCNf?B z!my*`0i|el5wkXe9LSqcJejO{`I3)^dg_^FC zDgr(~ra*=HgQB?Ady4AXmqEwD&3;F;COOC5k{`eL_Du(lYyZkuNv{R8FopV%lSl#a zhU#}Q?wp#s`WQUw*nBepo*VP;Bx8#^Ec%Js_mIOE7CwYlwhAcyp#zOjG-)Tg=P$d) z4O2S#*u_uZ%bWNdmeJ?q#(W#XCKm9~tepdAK_(D_AZJ25FpErEz{t3@&ZmO2M`D zELH}Oj+&Yn+7et>7e}@w#|R4VKJ`2toTQ9wy3*0p;}iSz;x*OPxq-6WRcrY)JNug1 zd+Xl(sPRvi_JenR=%yXOz6bnnH7H&?G1*ba%cp3kW?D{3a;e;eZ-iBWLusk!&KYtt zfxwl0?|+6q2EO=OcaFB;wjo}0MIUUTQ|a(9G%R8fNHdsS%g1x0pnhtfR8m~l6JB&N zYSUTc)SI)Yo;ERDlqB|}%m-Z#Zd*r3j9lwNxue{-Zxb*5T(N0|WE>7h1D(w`7`1O^WG!oH?M(hZqs~R_~GOU~vG- zcs)FlA3xQ*QX5{NhK-ex@v^bTopvj*NqZtnOftFtKcOnX@#*@Z8<1q+35ZHT#b zy|Ro%EYl?}Vwswl>`H&SJ?{B)4~Zh?j`wdH9EXN$d7r=dM7-3-m!6Jp3l}z((%xk0 z%~uY2GNuLP=+J6YOBddRg@vB{jOQDY65jb$`3r1OIZ`21)K>L)gs|3d%BpzYlne=B zlBOl>n%Y?>r_FCUt&VEh+pA0}xIW5X-?4@L{5B3%ZF6(FrY1w|cV-)RnMo%(!Yf-P z@G~GCFJ|VxL=`(uUm5WsJug?$M)|#|spF*E+TTtu(1pb+mtB;W7p!9B&elKBj_b*_ zeHQ{-0CdvK%Pa5SPZlds75k}pMOIgnN9~nY*mK`mgNnGDiKfv_y6!jEdEwR&60rTH zjj$~xxyre7e_1$9H@_gDtKhT@}qDwzi7nfDkK$RWTu2;KDec)QY&RL35LI2> zrU8XX5=mlbPV#HL`VZ;zKBn@*Drw=wOYGV)D7K5l@<+_EwV#ai^AlU>*ROl(od=F- zKB6M05XY>>gKXVXmspmngC)=Pd9m2mpVOM`QGN4eO@DDEP4m<#iwddZJ-rbur&(Bj zQz&{!2aU9G*~o;89#PSDdMdSvX)2^S@g~}wI7*ylInj)jx1Y)R`I-F3k3;fKiX%WQ zfFQ|)X9X-ALr-CHUZ%FKpw!0b*Dsmcz84GFj2TQq4!vsIj2 znb$IV_GYB?nkL8qBt~OnUXax5U@fM$v7TdnR!P9<$rKE<&hNWQmXzc)+!+4@gE`EU za zqQ0etgM~#EkS?#Jz0TtBP`NIyPiNNPVxkaRo31XiUF!1edx7-h=ti?mQDAr0!TEUO zCfiU?-g4>Y=6AlEu3lkcV0g4im#9VVJ@E3Pa4f%in$II-%8@UwSf( zHk2Hl!o#y|uP^|+&bt43N@Hq7#49<@wVZ4PN=gl#)ofY;0Zw#dZMt~Tb=@<1B-`{E z8M@+VWBFt3gN~^Q3Uof6JEYTil#3@@efyRx4LOx3PpfBov6vk>LdDO|2LpJWQx(f> zYU+V9zC}CH)GF=oCH=WHB@Q+bwx5dFBBGBT)T~R9Dk&CW-2pszJPloP$l_wd_@`NU zN-9m64R5F2yHD%Z;LEvw!2m}nd}vm~j6zB?E)#%inO= ziO|TLHr(@6FXfI?yPD3fS{i4q*0ied{L?Mz8A286j)zNqXBknMV*!mHso3yK|2i#`P9M$s|Q!`WYpJ#mg zm6Owk5M@TvE>Fp}{8hos$l2Z?viR{ePR39*vIEMm((&^3ZcTkr^xAvKXOTDHcc?Il zAC#KG7piG(!RTFrHB<1=(2j_>4J!YIpcs5eAnfFDzG(E71)=`9^V+oxbei?<6*ttb z@G}=auu8poYY(^Tx(|B9QzpNxN1Q09^Y4wJBHc(i89hG!P)t{Yr#9+^|M&CjRoEiym>gi`qzY*7x(k6S`@lBw3r(gARvhQ@HJS{E%C zow(IdP{pWy{KLbIQjT2YUA_uRC#~Nlq(Ap?Cd^igPuHrYh%#dReijmO-&%IeE3=Bd?8Vb}UInb83 z*rQ5{vj{u9e`n4e9UULT0$V$KcC{l>*Z%<)rQGl&)u6eb?CXd?F}P~ZfG2VTT6N>P zq+xzZ2`@bdZ~a)B_v13xJ?EP5%t}iiuYKuhiLSF6oG&vAs!_SQYTG6D1rF=sR=IGY zjB8&meg7Awt^@0n1;QW7r|B>NYx#3PIsS7Pi$g{x+lGAeH`Uv>ZSE;=jSFYGbjBv5 zZoByxh5hC>%YQ4)%BS9MrS8AP8x9&K1ITZiehd^KM)4DRHqbFn4jXIfEZxZIO z40u|5n(DO#Q2&p@K!FZLM8tD?Jw5x9vyN{S>9WFAH#XyC?HFxaz*w%d;ql|whK8CK z*H_4x>6Y*xeC`@fD}}FrzS}vxD7$cf#zILrUWaV5*Wdc1^ksYr1}Q0VtsfD&QTVaG zzSU=Ii>b&}ynZd4N>n~>MVuWUPy5_gwxZ`8mKGC!@9OHTJ0)ebdXCA<%|`ne@Gq&U z>G7pWPcN`-VV@&eTbB<{3&0fh*gc24vGCsJIKj} zW@?!z(w~Ui@P$hk`Fn3!4B*#_nJ}4jNAJ&tFOpo3YEF)6;wzkKx@BorGQPbcEzvP@U}|_geOhv`DyYhKvWGtU z=00VRfqZ;C-hM8%!qxJKhGDMm;bGXx$3N=*K#%ItS5b;si_HzQ1el}QnZM@Sz8h4-4i{ca3JU&ld!PF8Dbvc9Ku|K zo*wj$z4Feo=MwDrxim|6s`4HsC#MU$SPO@w0{M|6d_Ml(j>M9{mgG~~UDMo5D->^6 zM&);Nx=Mg#WVGx3y`|o*C;3=9l8{8*xVJh_ZsqKJx9j~SY_$f2X!*VZ?!3>OI~B~# z#)m$nyJGRW0!6>&rr0kGH}4oJIfsMg<0o$0&m}4}jH%a@yzf}|l}TalCd9VEX86Yo z7Cxo*5M)fSKA?*e7?VGoKlSD0@N|`<_2^MFBDyhF_!m5gB@0=NyLXS|;P6@CwB5Vb z-SAUp|2JfLn<*3(-O+9k3M$>yKnu~VZpb7fvjZ`PMjU@0^bvs_IF(xOzXH89?9ldy zuFXYo**@FYB=I)UO0hWh&molX%wEmYpQ>7CR`RyQCEb{W3wQc{OQCb;3vb3di6V$< z;8r}*<6l{s1|!~yeGhQU7CX!}R0dj&G~Kp){$edQ$JEGN>oyHic4E1*@6^I}3XQm) z466=mG7_eMxL$ggZx(;@2%YSzH8mIHCvN!p`U=9lC~9`>vc@YfEx^CGYQ^@W!+bn! zpPEH^&&s&a5kEhE((!nrW8-aR&i*~`Kfe^k*F3`)jIY_=9*MTTYw3b(Uj<`;`6%@H zEfdZAiP%uc>caN9#$I{lubmYj)%Tgl1~0(u*_J7PF247>`b*IUjJsXqcj?pmhNm%ZUxZMUBp>^ zEiFw6F_Qb*vQ4hJ>?S`ypt zXCj6GHZ^m2YF*rGIu;|i;s9zmOtoi%Tj;_F(fMi4PBgF4W@YUs6c2KWs(>Hvnh_e; zb4T`V$0P(|$&Y<0HWOW6#`_k$7gzk-^*E;=WMapJG1!4Rs{0+BD#dVMM#)fdZ2d?b4o$5aX;&SCcgSdtT z5x?UIva?qXPE8#TPEAQo-FZ7F0DaPp{1Qct=<1``!kH+zYZs@Om<6FqsC?+oLGMCN z$W6A>C*rlL*8Nx^6wUmG%t~jyeaDX-HMJuwT#G=@%{d?sIDGRIXn8a$Yh4_EelEmA zc>h*|{?MVDF3Mi>Kl#wn!k(Xh{=w7jZQIQ|3(Mu}1~0eOFAP%KzKvj5oIfcK2yc~q z{;1#v3(exQV%f0&Lc!OsZBD)RA+9*I-AX{iQbPj#Cu2!A(uM206*h>?K?$9#z4TeI-ADH7Xq*b!b-94Nj7q zG;(s0u>JjY1e=2UVSYX(Y5R7kk3IScM@0;Yt%s3B>7G2LD1*#>@CqXDDSUVxEUE(s z6p5HVB65k=z+e_+iQt)4Un*P&(XID6Yu`EVz(2yOlM*6jP}g`r)rJ4{0!)to$g-ZB zFrZ;dLs#`_AAi@-@CF_YP0@Wb+$=)o7G)=bU%zI?G80(s|NHk8bQRn}bi{VXnRw=0 zZsaR(Ssce90U_h#A~3Mu*(1}aZT4(P`lW|V_$z;Ec(G9aJWGcteFtTpVxiI|wk z<~8;AP{67b?i_OOh1lm8MY&T`w_4kdQ0uqF5P{+I=Os)kL6bdxG&Ee{H*Va;#Cz>C z>q+89Lh|bpQY;vvtdd4;YugehS@f;CG2+5@qP)BGv{7h;$T9sFoJ8pbJ03%FJKJlB zXrr2VX9&RP6Q#t7=(zKMBzO6xF;!$djKbPp_I!^H%}v!|zMW_aAo6AD3;p894PAnYh3`mmUte8i1uY86i;#L(caCY%mMx7v zx_1(@5cwQ@qX3Wz7qBUp7ymS$7w{NPd!3S>FQFAZe*MZ7_veBBJ8;krfBzohzpzKf zzG?Tz&&%nTH@eMACAPS`J2OWOT78@7ZsvKS-&Ru}GXRrk_SV)aoBC*Fox|ya?K-p8 zHW`r!*Hy>&M@H(C!ADgwh9#0XVUJ_^xsQ%2>gYDv;L7}S)yBr~K}H98-pNU@-&8>J zGQE+Mgu80Y$(axRALmvydBce`TW7t}c!8V%9Yo4@gD+OBN zjPx?Te~uxK7L=X+ReTZ47&}r(=qt6Pl?pG`PNrkq_atSdq{^@aheK9YeB9hi0)Ov4 zd?<HP{}%|$-(VtoeqTCn9uTGZlcA4iFs?vb-W%y<`0SP&S;2OacK2WCt4-iR5$ytXrgC{;opFj z90W;Ar7#3*nc7N1doJz{+W5j|U=S&{^CSehJqkP3c(gp@9}NXtaEXa3hrW2hxK>Hf zb|gM{@8s^yHlFL~d#hp5q870?GV*Y`iM64a^b9$Wq0*NgZ^ah{h;a&#Lm9DSKi?_p zX0p;P!MGwFLB=K_VK%HyVzkZRabIXf)0=~Q+ObC)Feo4<|tE+m(Nx$N)XE@F8dKCBP#rFTTJ4&SNaQ4rZQ^1|8x%y$WxeJnh4S&USTR|glfyVB936L(4!XE7;z=-b-@W2F*?I?!K z61sIkFTJg(EG{EMpP%0o!yQHJCh5N^yO#z}al911&g=}_FC7WnOX%uVPH=ldcNqB* zI7LD-=9C&}`1US8H*@b@&8V=U^)+$A!3>n=O;5Ahb?=n_M!tEK!U&O-`eyE;ScgDq zyZ;kd*8b{iX6BiQ8m@h{ZTD_In1x)+%M;kdWJ!N{qc|e!Nbtcoz(Y{%K9v+@oTD{7 z+T!u|M=|S212tePTY8?TH~LpRfA=*1lDR^xx~}d%Ny(C}vP2hs$C;;%YG$hlP#29m-rD(YsDhnH7HB zay<(4U%{4Bp7Eh3MXzImgQ;+Afm?_+(aVH^Dd@1XP(C3E%A7U1OdQ$uF=@losvPG( zmuQ?hBSMJwjC>q6f4QI)(shp`kjslPJ*q z9-(M2pPnYnyCrtkqC&bXaqa1UYDdC9sP`!>Bj=~ zwDGJ6bx^8kxqL_c(s8pz-jijg-aI^V5k-*=8i zJ4mJUqEJlurorBrqKovHbmH%PvQP&U;oGlu4cj<6C1?(JJ=QyNG^K~Sy4na1O7!zn zYdqL$i!0M7Xa4rnxK8i#S$|D#^kn|pix>MGT0V#KD+gT#1A7aHVRgI?BV>$kqdmVS zFWJ~|Xb9CQwz*;zshMR8(O-S^2xE5H&;XmEC45uH4*xxF!2h{4^R{FM{KIBRB!RTl z=$p(vL{0`Rp+0Wr4xS!PMe zJx|F$jJmpi{>wsI(>7QTs}(x6GZU9TuHN65H#n)4mF2ceGy!q0-d;M{1_en08HO$2 zeP)D(xc;9XTM-ji)yy%$b42?1_kj?7mie_KP+#K%@W9DQA3t~KavU~A-Sf>G`Xq&R zDxrAtNrjNYp`o2vZM7c@)1JlFMC&}f0!tNZd@Y~lk_*33Ks&y7alO_T`USCvzw08R z?CJ8Ama}fdj7f3DwwY;^gr%E!`40o-{!bx}*ER8(DieyZQS z>x>DJyVCN#|2!__FFo-(%1~(E)Mg43S8BPdlsY~u@pF$iHq8IxY)`Kxhld^8Xp0h& ztf6387<)8%KLf*e#XP$ml9HNQT4cF-b1B={iPKOTM+k|erIoCs|HQHa4;Ycxhq7Jl z<|1E+nCPaFMzI+UX&Y{*z~zq*JkKhF99xqla||u#8fS*6h_)Hb{?d@}S%tH(CZ`7q zFpvEUF4Ws#q={$hOhQ_ZwqUc$07~M44iBpi6}Ks-KYO-C$?FtRQY9)^BlYJsk00OC z;wBiA;Wx9k5+#Y}3CuX^E_yfq(F3@O_WRy`UEiof(VLIy*+VqG;ix&YvZdKfoOpSB z=Q~8FFy!Th58^(-)Zqp|Ojq^r5N%7@ubbgAquj@Y~1bB=ST zIZnR9Z{I`BUU_YP|GtEPTtXfsF2bHd9g3o|3z0EfD~M~JI6>Ezi=SWKpv7^AA-M(A z_J14oDnk3pYsMgB2X|Rfl*j;NItL`vNM1H_XM#i#;$~2ZL zB1!2x@$qpt#a+*IXB&8=53%D&sgHJlJKDmsII+_aA*`9UP)kTg#sNJ06L!wqa94f! zaQs@qvXfe z=lgvafAwumKPis}RT^7OP5Y0<;vfmV4z8?J4BK3&{ogJYX5AsAnr2e8R|MhX&%On@ z{8NYPlVr$Ekb>7K1Hw2Kx zNtBU)Y^OPoI*xYYwIR*G*p}XQ$%krpa-BXIGN7mksg(Yi>tHY8bW=XK4$BvFfM6$y z2&Xxba~txR(N?|?#70m9tv!AeaUDB$M8>f-2ns*?vqUG21UCabgs(AuZj4J{g9~NF z^PfLVAHc4DNMA}XEVr3K4kv0v$X5kM1pgTMYeisL?$gfGg!7unTOgyAxyFH=_67XE z_lmI^ll`AImz9NmtWcukQ%ZgotDa1YBn-3HI)uDn+u#5tAcjk&Utnck@9JZ*!237Z zrA*3+cY)1_%10PVIEZ5+O!7QreB8vrHfF%(ON2D0`63uJrPR<8gOi>U)?xY)PTA+r zPY7W1B+c!J7km74dpKr2%P+*mwOvV1S44Otc2pBfs!JfxPEam7dhgTIT!O3;_(h0d ztX*_vZ;F76Cpte>5#m0glHPNiQe3~DQ0o2(HFZK|YE?kzlH6}d=$(LX%8sN3qhrS=_MEb zpX&PSvkj3DBLp_9QsG7B9F}Q2Cy|JkwtZLNN~m{70Aio2*}>)3``XV6)6*A-SHZ+? zt^>v#!$iuFh!9=9mQAFjyUsG8uzvgYZmZ8cT8gy2G0&lc(G{T&RhRvf?iv`B><(j? zBce38LyOTVK&^mG>jc zpT!Qp)Sn!S0t1>KOC<~r8~@WZJkQb+1$M7oHsG73&wsw~KAC+p2~cWETqBTBWmI-{ zaAikHvb%l>TJz&k^mxEdu)+TQ3a3xA6cwcw61QD&R~K(%GkyA#C-sVSzQGS3YzMw7 zc0G`W*r(7(_oj?dL}<`)9r(z9=+Fic@DR(0Ct#2gQX)!Edr^OZg70_0Pvd;J{e9dI zL<_*BCrre4hSWcVjy$5MjozATqDNv!dh)cHuh!BwW^N-piyblQK)qpo%}C~4l4=;kY(uFJf8ahae*{RI(*u$UMX=Wda0d-jka z|Awedv@i~RwV{%iKWS!OYUktiP5t#*u_LEWDMFadED-qT)eyTIw-f>_2(36*)hy$a zlPTEP5U4uiF@R`q?Bl!t(6$GzSw$CSM`u6un%2I#>V-Ip4|l@i>|KrW3zB+#~lmDO$Wm~AXE>KNFQI$ zkzc&Dv9gi*bUPESoyDaW#Cg!(K1)P2|LL2Ar1Za2IOLSJ_3$N=Ct4Fjr)AB*es$s} zbg&33IE^h5wMT5|_4xzH;*{#v2M5{G$v#>wH#I%^$}{wPw9D_*_O2^vKpp=P$t8O8 z7-(_?iX5XHAXA7`3{Q6=*sHgxtVKbU1Ce1W- zF{xFJ@CW+#SDd_f_}g&D6BQ|h?r)m1Me%1=MUMdf?|BI5s2s-U1LR7{DZ8A|5N z%Jh?GX!uM@cIo~(GU38t+`VD)WD_7P-+!?FvAn$cn|hK4hnuAuRul0KTTnR0JLEWs zj-QJc$$JbMHvj;-xoH3+7Ijez?vp*j2rRC7-f}p!ZK(F$JJzu_@iR4)jxZa#_4T(8 zq)d$g|_9$;@%e7rxnL)B$J`mhc4k7G!mk~e5xY(+Kn4qaU0fT z8$W?RKxk#)c?jiXr(Y!pH$aI*#f8eqNF2)^UCMM&_uhw;xjP421Kt80y+>T0BXz( zJB&iY8*KmBnf4eY-%eG|Bbx3fdj$}-JWRr0g&mNi#bFurx82#bHSBw{z7X_3u>S9| z(kzbmw2((}FjPM}LQj;+Fu2Q(=ULr+R`%TavD!X=datQfYG>ycuFA1Uxo~RGUEU~6 zl55VVZMy>TTCn4~Nzn}pLQI4o1u?@Xg+7vN@hmNVH{jeOk8ZjT1y&e~qp?N7C%CXs z47CAsZD*7BEuLrt10jAY9Z4y%N(_xMy{r@J`&QV#ecLkpBrO&OJ?v?LJ#ZiGcwg%3 z8iHz`v|}sD&XIGt|Ai00bkwL_lV2L+&vo9}Q;@ccmv5KzoCqN&s_@`SE`9ox=ZtyDeMBycL^MvWz>7&d7C*$kyZu;Y97I?yAfxZ^^^#JloE{*HhVg|3I zY5$@LLfY9-|7cnzH4-ya&$%=5@~*K6zZ62|c45#m3_iuRUn+zVHHINaL$gNhbN7=h zTegJ0e^1`yeip;mHW-BySX%|y69W~X8_S=Oz+($}{m*lQ5O%;{tLg@;&|&Bn57Hsz z9)_o(Akhap+A?CU?W+e1M3Vx`7R9jl+jrjyKmIg!q@fqcXjSuucpuDz!xA8Gb{*OJ zv&$RyTR2q0bwo~5wV+ZcEFp2-b92_hVxdHKwhx!gSCPr>E!Q#A2{glmXEYVP3JOg- z#E$h}t?(DGt**|nu3<6MmTGe+yMmgZ8**nH6Y#;5d4IQ90HGA>X0u2eN4N;C>)wi^i$%8dxL+t6`goFcrb43n(-{ru- zCs+-WTzk~bU+{W)nKRQUKm)V%@c2v3$?($KH8fj-5%VZ9w{$OJ4p2~05w;asj%Q{z z*Vl()kas6xG68H|MO^L3Z}0_l{!Z94Ky!W`xMD!@Q25)(-6SW3!L(##BW|;!|Mb$N zr0h~tceNR*_nBD|F!>2!<(*~nD3Hw2+E1{)ets+r#)u^L+Shhn4#VcCdHK-LHjFW} zDKH2E8^tOr`W*!sX6?9oo1ueB{|FF&OsE-wB)@vYLMxi{ZRSnQv1+b8$3U(=Yol`t|w1ns9Vn~1_6=T93iU0Ki zQ0@Q!oz>vMaKfV}Z|NB5wRlx3;1eQO!SWW8gMO6tUGqq6h7gh5i(nRY6UoVGJ5n-q zp1Y4|@q{tLoH3O7?gupU+SnQqCXahramIptPNA&Kq80Nw1R4-xnLj+|e=)h5FHP{? z29(IA`Wn^vmsj!{LM+IZgR3^yUpe?&TMIh0-lGLd029&3Qro_=pE~^E-BrB`5suwdsXW$jUCF`&` zA2?iKBCmjC*4|!ttifk+3A}KQ(a}*zf@lYkg*(I9G9U)5F#`CZyE`;Bl^<{|I70PX zG|bP=27{0aLbwc&&EWMsc38PaMGt$K8@FyzlAe3~Uo@37pq^4+FG-8VRySo^f@JyS%>iq_uDI&yt@U8xamed^U`_-gFsdA;F&& z+l!oBvZary5vmNrBbB9xa?l|fLl8iMrc-OdsYoN(5|y1zPTbw-2yV}m&v3uE|J1fD^V9RY7Y5i#(qD>tD5+!bJg?6Xr;W zau{yN6b1{GmhkTYu6%5GdYTDHUSf0`{O!f6jTKeE6S{a;Qd}#m#nS@FK}-R9_G4e) z2rw!H`UL(YL94&DLqbEzp6)LCi(lHa|Mlu>BKXM!GZvgDAo&~4o?pT6{xIG^yiSNf z&>|UJV$ed>=wIGDH#=8$l*mY_Pwx=I^|u{+3P+ln$lIu%Kn##^iN~M+{X5Qm+EOfx z@z-0$>u>!^sWZ$ z(oFc2xO`z~$p*Mf={)>-e1452F8KD%zYMChY{Bf7#xi1sE+OU_WCB2K(8M#>)qTfF z!K&c+BO|qnS`}vI=7JIuba#mee~v9{OBu}!V$3aS>ldqh0l38IXRfY3B&CK=~Tnn z6|^hR0!Y&UR}Z9LRm3*IX9}F2Uk<7yo-Y%Q#9o?E@_%ZKhiJ$EliFl&@7p6|XMvUr zVh*z^=oiG5g6D92AsmW;Pk>G@EVHji1O3bxGL3Kdzxz5@Kdo$WwoQiUzAd{@fpUsq z%x>T(@aP(zqy+&kO-~@vD*WdBMk>)fwiPrhYbPffZ*OlXnq#G9I7*341R|W9w>OM4 zyz_p&^7?fRHx5`1B)CQ#O;h2+35)*8U2ea>YI1RNcf0h;Ikxg5*P#Q9$j!qeU|MG2 ziDO$T0R6CFq<}bo6|0K^7g+f9>$-YD*pVOMy@A^TgvhtJ?+1L}bL_If;3YqSbb=uV z83{CO9E$<2@pa%A?KH_HsKdCUhbAXiK96l7iRmR%f(!)Q5%hRv;sW*X@R%s6P)U&rBEpzVN-&*g$Z)#uw=TjvrYU)b@%jYWq zG6sq0q>IYbhja@0%j*I80N~yOu*%WizV5zC;7bR8;Hl)X09xO_k2W$j9m8jMi?34g z+YG1hDYK842ajNhD3DG8j7?ZQEdI8=fH3EupJ8iTn`c#(O7TWHaQPOT7(mJ8{^w`C zeH()4XaxM2w~rn^>}sllpU{QX#ozZZ?n?b&R3C)H36JQ7`_q6$DS*Rv?C{~pN#LHn zK?zAdub+Bg7#uygfBrnp z+1@bsu&_aQh_`2pdPRQnDtX0p_HNwqjP4D1-)7p;)Z3ewqU61Ml8f~Tb_FbAU#a@} z+h(=3nWC=FtCw67oU+%My14hrZOLzP7cUa^-ow8$PIFn0O;@?5W6d+u*^itY#Zr0} zuyoPR!J($FZz~|1c|W35!L5f++E;)fz^&H;w-N@CFXH_8aN$ET0@^l&M9Y=8T8BTO(nB!uvdz`{g9?0#Y3iWi_sAe|@*jGP}!!6^es zq%d|F@N+OjMos6-$=TNkCNds8Ac4%Pee~#N;_&eL`O#vGAi$u&ECq^E1I)^P;{znC zi~tXF2)UyBKS4Ei84&P;i>n5iTElN6*`O_Bohbw?N_$Q9o9|>h{w3e$U4kgcq2X91 zn;3Z`p1@q%+5fbPRe^)cx%&EKpTFDV9ApD1{iHhm%@YQi1#B^Eg=#Tpz^oqgzg>L~ zKl%SIO(L>*fve`e;X1hk6{c>@iD`D|>8x?@uL;#w@LoWodBfb-w+?W>f)o9keaCm2 z;|?~Sb%$FN^_3&~`ePvf?kDvFVK(WJ>-}YI9WFkMqy;?eMC(gW`DAT z4_%}NfYiJ5#Zqu8o0^$5y7M-8PW9jI!(D#1U?Jc3^<)5msS5V?-;)Ea?j$8Ok_{m) zKFj~gcUBA*Dyxg`Erp4@^D4+QVF!5X%$aSbFkZoR;0_w0ocA{DfQx|A=6zbwYrEV{ zY#4q0Hj6gjImQ!!4Da5yZRp<{&FZmyR@?nMW36?UmX`-FQc*n;m1JA7|nHpqYy*je)bmt&c8o5NKMa{{qkH3s7TH#L@x#f35{7Pe?3zu z{?E#aY8xZkCOszX=#bu`W@XP8$$a+~jIPjy1#G;SzaGqr&V6}V`p$CtJe)%qr3yA2 zr(0_?Bvv-ARylrTVKzEs$5I`5go=GZwCi|DzwFJ%qq{gQjvDo)S}BiSaE^KrZ)c@x zw9{KOvFjjJxgksZ>3Gdgf@d6Br)L-P!$Pl~!55 zJ%ohzFh~}C5H_=4j>)M58Bt3x}S@w8T3Y70WcU5eM;2m>UE+n}mxm5!Dd79zBY zT=sNuc)UDF+(3}nXDk71ULMp--h1`bZX!+-Ih;Ks3ziXS;bqD54Oh~Q=AHcF-R9cH zFk%VAvm8QH$|Ze<1lo1**RM9@NqVGO^}U+&%5 zx_b*>WJJk9tLqZ*c9W~#>HQbhiL%?bNER{wpa@l)YorqIh$-4b6)O-|_u$Yk4efS% z00jx!DTst_a}yvden-E&Co%*5N3-xqVgY5Tv86>5PGF<0_j6K5k*~u02<_zD$jFex zlH;f|P0vG;C=7@ioFt$l)Z^475_f3v_&%7#qhMcV@OF2H9GTd~DUoBLZA?5Hq*DYQ z5x6P5D1x%2`v}7boW$crT1f;_H~|PNOK>2;r2F&HbAF$Bns->YVlx>Juh?$$4*2-#7yFRDGbV0V) zM6YZ=f?rUN@{M1GJ#UMQXjGVK;#02azo(CfO#jHRPTZVwzq=44x=6V8KFu57?q`cj z+i9>;c@q==W+^Et0OuY6_;I`SmCtV*Xot1k-RwB$xb|PP3;i)XJdE%t1XmX9Y#=$F zu=X=E!^77?$r&qBssfi#gCWc{kbv65xw(&Bk zk=UJ-l#~xFEBuJNi@))*fMDja58`?rGr*|zyKfm;yoB>mqz~P)(#^ye~|CJ(9fm1_Lq&w@32Ws&ib97 z=j7(#Z$5B`A-=enqNa9G!{YPlqbX&Pb*3FS!B4B>eu3a1rl?!WZ8J*E?H7ct?Dlf& zdg$i55Zb{bu2pN7Gi;gTMGnh4Ubu7ZT92`^uyg;t{e2I|(yT1!qWx-aZE_&|eFV7w z-i^L=rYA-Ik_cyF`J<#H5r!unR*(1I*cJD^>BnT@W-^LF)6vx>yDanK7ah^uDWbP^ zMbU&5QOFQb|4tV(^8-M`i|_fD7nGNf8c5AI(XHGanvNhY^)39)*WJETFSeGh1Gdf zgI;$5S@`bVyTe$52?$M$tiOQkn}}Dl6Ku-EaCXbOVV)rJ1IWP+7(a>n`}=2kPWE*4 zT3y~nb^~nP?Dreb&-3F`P##QpXP5Bg$&aP8TDcUt6x|nkmU!#0g-7K8lcKI%*-ZnPov}Gl zU<+UPQ^SQeSHkZDrWb1J>Vk(^A)=B<01|^vqzDBu47q)YOE(=X>8|L`Rf(6tJ_N-O zA%Z7~Kb555E+leT?bIn=LX&DqkspDVk=aX+9cAY}WmsN-6pM_h7F7X|d}DxqKYCB0 zP^}UcWj4b#p*UUYj!0FU5R@fFZLxh~|;Rh2huV0^mess-%X$a{G99M|V z^E_aw=;hWL_``bq`piz6={e~-jJ5C=Vr+cX--uzo-MeF* z`g)8#wq&@xg36!wcvASsAd|=eri2|b^|t0)ErUKW(bAgxOjqPVXVAbkiSvz|^mDLE z04d|Oii*HToosAuWTgE3xS-afy1Ir|Gu{_38dka5+ES2kI3Fr@XnAJe%z+2E(%9OH z(HuU)^U*OakOQYQbk_pu9^+z%g;?SR&rw~5gH3~j3N##OcSh-fuCCKhS~s5IbQy_~ zsyv9Lf{cVFedH!PAwwl5E-jZIb>OG z45t{Qsyod)ExlmRL;LOGe&o}FhYds1s1yAYtZT!DajPj@8r@8Q5LE(~3A!d!Xn4y& zGc#!03T7e+dA4cQ!b}T2lY{Td#BO`IDT7G_tCnVSj zp)pj=An#Y+b-}4iI2d>1-ezG@et*BLU7%cpS zDgDTU6WQ=`yVPzF;)LE>K>g2Fq(W&($HDdVWcltZ{$E7lOly0FH*}2HJ95@EHSx~R_uwhApXOJUd-TJ$j=AivOa151&Z z%Abp|yAFT72TwGFitI0AlVPVeKRw8VTw_jwA5>hY?re4MjE!1f9itW;Wo*0dn|pd*;SUE z#5s2H2rIJQeH#8Mk9;ad=_0-b-89}F5oX~$cYZYK>+@6e?Afz(3ifX*glbT&l{j67 z_!e?rv#qSk>#3$auU@{iL2AN2kfIXkS2}B2)&ga$9(HH~DLXN=8(ARGz`U@Zg@s!{ z<=sE87ER-*pWnf5CoEMq^C_PA5;uoX_yZ~$I9VUy9TOe~ewMJtL{$6K3O;j(#BK`8 z%X1=XBABP5v^W-Dq5#jwiQ=TYJ-dDZ6Zd?A#n#r5$dt}<@ZAr5#3N}uVwI2F{43qbK`-(e?2HSZ32Cf4C-JtF3{}N)0VHi z7zlr47%5wnor{DTV(hEjJe4n4n_McaS{Y2nl6ee)M=i)6j6=@?V)RLe0TehP}Dw!EGuln{kk!sgaj(ddtntrsf!c z&%|T>v{-2Q+0^XVxRMZ=5KTbo_p z5-xle=qt4_aEVV!BFfBgEjv;1D?tR)F1)CWy@jz# zN*DSSK*J~U1lX_Un{eu4`(aiah`~yt`bC5iHFbm8WmWrDv~Nx+zq9evzwO)^+|YJ& z-7?4a|0(n^P(Iz+plke#tXs)(+-7TbvstWhAi9E;Ua!q>17iD_hSmTxU-(f7wY+|R z#|0JZjoKI9!_jgg#fyLag=+nEl`(9=&No8zEG+F+M9DBOPc$GPIU+XW5`-cUTk9Vj z3htVQ3p@kNodK_>K<-2j_b{049TEP81&Xnx(}X8r^1kzQ*x-a=ul$AnH>g*2&$cAV zP!P5sckh0(y`-X`@7a5@^E?b*s}UQAq5mJ{&`q(iu}OREn}j*tTHe3^0QHWjf z8M9D}xXSJ8TiSq?U*&`i95M+=uqW(W{|jKs%F28u^U7gZ9f^|@Yp`_b)n%S{@4Sbm zEUm_V@#Hkc3Orc8T)?EOqw@y$)9)7f!3T(kaGNz`8|R=gT;<`DCudj9va%~yvM;qV zmonUzxnpab_IhF9%x3<6#?Hs*Yw}LM$QWTZ*yZczm+ku5cQJgVpM@p9@=SbaM8vq& z)ae`;i z>S_QA0a;_SGc!;3j0Ml0@UD>iQugqn2y7{<`}$sW{2+>gSY|kAsqY>QgSDu5etGt5 zEbpgAPZ&{4>S{ia|BG5#p$d5t39feUabff6Bla-K=Z$kr%>n{z4lxoNl5dv>P$z+j zDjw&;VbxuOMKWL<5&gej02UU~Bg0UmCtvma4%`W+W~i_tJ(m&`Jfxg@9j?rw^jA?v z*6+5wDWmEBQlc+Wt08?Tza4P_>cF0ANTVd&vPH$T-SM> z=lA@M&zR%;@76|><9XzeL~-VWSp?BG)XpHP-xPhp)@cO=epO@7?yfH2hK#J&`1$yZ z?&S#?JNWC)NAV91twD`V8CWZ0#eK$g0X0Y6R!=6sM=z8zXd_&!M&@A&_vL?k>tQ=~ zsdqbYQj8u)G9GYz5P19c8(8=}9+pw{8tZZM53I{36Qr z8rG1FnA>9XbE43mm1vrxK|q@SBZe`e8j3=+1EB%Y_1LZjlQJ~6P3AK!EiA%ucMzV5 zf}*0nSr7J`j>i_}WOX6zLy?Y-fEbjNC}f+z+Kv)|n4KYqf{PVlmq6V9n2Iyr`R}&F z>8G`$|6}vQIuXVEjq-B;xDIZkFLUj#Yv&D>D@rR2TORqusL^9TWKGX6@?ldF`qe~W zM0h8>9NV%@VeSQcp0MhuxU9~npAU?Bv2&fxuE{F1>&)MEJU8j;#KgX@g}<|jMH2nj zHE1)1E>79l2wVfgDZ@mtM@Zl&kV(JtnwUFK`sODZ|Nn~mpQQg!mA#Qf*vr5pB{`bK(62bYTfyU%df>-D4cb+SuvE8TYg6h%$eL3Wwv zqL7shTbTA&x9DpH_@&@Xi%Uw-J8Q+xgydA(^eTlOC;!;1Xf(sg7JE zdsuM)OJr9>&A5NTX{B_&CjdPWCNYaALALkPG9PftyF=qLZ?aZ6_q^ae>rA_){iXhB zTW#v=`OA0|Ue22!)G&?ao2PMuy{g^o@~qQ>HO2g_iw8y*PvnH^@T=ght0VVkuL&?x zGO9-`vH>Fd_02rz*G{w0NY%K%zh6<^J>Wp^*qyaX@Ag_hp~2+F`-TP@Y^LK%pPEs) z5MG?{*j09Qm9ns~fZVAaHJg;CqA$F`i0Y4UC^`G-K2$=!40q%Sklud!v<;Tx0gJy% z^Yf+9UF1dTMocI@Jc?fb#?^?S>qxXt!6*GMt}2gn8mLrNZ)nfV?psfz_;XPs0OO89 zGHL`Ollmjz{w_nDdbhxZ>e!ExtTd zfwmbYn9WbAUw_b4RozVbnYszp(oH5-&rP2a(KU`ei|w~-a^49OFB$E&4NdcT+TkJxPe(L{nYQyf%TtFd@D@G zG5C6mTpSYv$c?I#ilm2q03kz4hRin{i+21(8|L0n^}mkJY&l_Z@^@+JqKJyyBYIle z3+n;Nwpqtlfr-bLfjuGe?579laq!DgLipi;1Dnm<*brC;2Qg`WIV9n!aaQN=sFh|I^oM z8`gbi!-pxnj>KGLmmYc7QA{y6cgE~OTG3a!j~}<6?^zbB|J2c|o8x%_(1Vyn6PN3*;+ZHv4LHb_d2yscI@nBBPF_M-WX z>l>*a$Pa}t`}EM#kkE+&{CIIoY-*|@wEQ0$3%790lp!V*jL21;5M*$9U!@puv3;bn zr_4yep>_~h@6R9V240xoYf94qn$OaeI%0Ch{_2%pPLvnCJGhfgXE&;n3Bfd6@?Lgx za$n!6rb#?u_{L=0T|7LoXLJT$z^{c92^ce{ia11vPE`aJeE6t!JuOYt{WoR1o%g=8 z_SK&gC5n7HwvLy{v+UZn$@*;dl3AAUfjJCbl%F1d)M5D**N?E=b?0-R`A&7_>!N`} zP6`YXz47W*Y}+@>vSrd8aix%_CW#Zj9*cjUZC^THs!MmV_O{>O!T8Hix@GrU^^|+# z#h3Qu*RKUlY4d_vXOojWMsbI^CFy9RfAvWdy=GI6sH(qbY=2mPeV*$)d0L3{P>t$b z&Z~~cM~{54m3(4EcRX7rFq*f#`u8_aGpF_wu$S0wZhi#!8?PMYue-`A6;p%cdtH9C zLlZBMZv*;na(kYW4n5Y>C6Tl<0%4WCh1=&j=iuO&T>ag933c#?JMlm^HU#p2Oq{{Q zSEXiHkCHFL9Tb?d1Z5YtLuCvI&jSpU@Z_rp9M2}_)wf(L;n{LyAx1F^O<>c)oc~Uo z$$8~KecGm_DJzcZhf9xvqqgC(@$W&*Wk~pfQw+5bWB?3OIdsT7@eEAaK5jZHsR?{q z7;F@+c;(;dpJUaWmvf&vq_0oov-m5w=yGuRMVvn#FE66W6s;xsX!69cLA+Q7&(2e_ zkSYIiCG`khWA?qd@sKMnFN5PvRAxsJJ}Ie=&~lV);Pxw`I&-FzoxYmoeRYp|-JM4r z#&iVrJ-8~>m z?NnY0H;GWn8e!52vsyR5$UkkL*nj?9TM9Kg`3zPSY99ST#!woG(aXE_=PRZ`u}5z} zu2yPwb?FiEHzVEqTo-SIggkj9Gogs5OK*8hkJX{Cv5}A@-@Y6KdH%zhMu#)JX2M=Q z3l;HQ%!guS4Y#LNrcr-&1oht~aTt8rNOP@kPzPS>1E79`&%YdGQm{@^a4Dq=k z4Q=#GO|sbH2AAUfch%K~kBjB5%)N!WbM8cva>{kXJ^c~Ves9g4w!JO!ROtYP*sDKC zk7AqR&7(>yTa?xmEL}O8_W=`0&v{Mg(vJ_KMa5qZhcUT5P3ri7;n%xQpLAWRd3Y9? z*LPoxUa}te5GPY@Zjl8AC%^L^cRIqB`6itrPr_cn$xk5}H`UxT^@ojRe!qhj&aeQyip z^vD5oOmEhir#js0du2078Yc?uHrhM5nUi>aW2}MsC-YvPza}!S!%oy}t$MC}&AjL& z5N~09;n$7DS&g)!znGw`V)76*tSPtOYvz0tEm1~}iG_!R=;+~BW7no0iGP%ucI$@E z^rvx;p+wO&_d4SR1(e`Er}QuWe)-}>U~cY^&9~TeZzcIF)u)CV#SQdNnK5tS8tN=? zZOwHe7Z5mTeKxyn>5m}sAJVTETbTNKT6kBMMjaLIEOi!KhWt{8&Euy=blW)>*{@v_ zzBGL{a(isF7y$F{o?AD3&ueghS~JblasX%$f2W?lsDrDwZ>K*zyvh4(XW`+xJL6Cq zKi_}Pbs-Nhlcrz_TH2K`qA?>Wi+lWGzR|U3mJ57gDaSJTL{2>4w6-#yB=Gs%S$>so zg%NJIN0Nq;E?QdK2M6D~_Yv}i)OW=F(F|{s(|J@5nu5k?n@?!f-Jn3~_sEth&CN#z znD!|sj8wMdUE3bpZFAwm$-%pagyI6fe*Jc$Z24iNVYJw%WbTms{5R`;BaL0DLKrK6 zRJ!T%W!b5z)pzyx5}i_lSB?$)on<{M`GHVIAt2x_b-~ce6)qLqIlEw2PuiC! zz$jIZXnfty*pCyEhhT@pT}vGmiMyGj(&SruX8d*(+rX0>W0_jLStomi3$&mj+g9(V;0%IeX=Kg z3j}z0mEPZ#u-u%%YYA!%H)RkdyL8eH&Y+MiqGj9FoorBkT=2G_xXJfAahieRp*uYM z{HCWMZzjq3FC-%$YHHHLh4lfMUw@p*>wyL(rN9JpMf~4)72o|WX|?EFPufP;oq;6q z?)v&4BQH$B&)#fhB_0@@+}|BXqoq|GfE*y-u8Jot^Y6I-6&1|4MaH%j6}1|3=N&(O zc4C^|gkrp_c&kyCcYypy+xaAg%a^^$T#BjRy;C&h*uP=>_5;x0k}g|YWl27}OOj+$ z?V34JOhdY@4G3%=ad17>R-7aKHB?p2s@CK7?V=)TaD6}kVloYHisWpx+tbtH_$yZtqwWJ5A0XL?_F!`~LSYCf>Uwr&Pk(2B|Jz z-X~%z$@Eyy60+k-%=e>Q2Uc4|F1AfvK-S)lI|=>e%^hi#J{yYKgHGt_Nj%b7*pORV zxPg_`^Yu2AO6pPTac9rD2L6hgn!M&q@*kdKrfzWij?iA;MbfOdsF{@ViLdPFjNiYd z6TvQjy5-SF@Y`}HR%d=Spx3tb@=yB!WNj~hC4Bwr>dttUr|j=(acIII+xe>TXdCAu zRM}qST{U9NF`X7-664rP9=sOuv^6u9ygFhOhpQuK*~eYphVrizRdhegzDHE`^<4fc z5!$fw0-^bqT+^3 zu7)m)NVPC^9FGB1zFV3u%~X7O`ie-Unj|#qh#cztuokkOuqX!Z*^dL&mJ7pa*7`!b zMXdY|)!ft!Bu_rOM@);Z9YSuGY%Ae{=(~l= z{UPotmVN5>@u&6=4xbP6oW21L6Fmlb38@3Ow(BHyk;C^0TC)36({?n`OF52(L~?fT ziZ>bCry~}xf;)9}Ipy!%x0}yjykNMEX9{Qi_e@01jkqJ{X2%1$GJTgR&gGe73_t5V zd-}>`{Qp|-tgSQtJMy#=6*(hw{DvUqptc-STZyv}gP^1jV~)Buc8PO{{VFK8DaRi3 zLw1?nNXUKu+*p$5qwUqKAn6U?O=cnm$3YSb=|NBf3qdJcl z#HfxRp6sgm4x_c#3L@&6t;VheYxu(L#@O}tV-Vgr>yuU#Kx&N~ZQrL_L;G{&i#c*X z4IC2Wexe`iMcy`NkYmEWsj;LuZ&;>)C-x)AYAhCIKJ@0Vl8`{VLQ>pMQ}1(ie`P%W zl~e%;Pw`&$uF}W5cjjL@tonY*`SR1?_LJYP#?ZMhAu4sgTaQZN`_9qHa)m_~dq^<8 zxnlJ`n0tFbaj~^uw&(1ZB#h1(shGwXIMwcAKTA3Nv438!lGRzmJ$^kPVE@_AGt8W7 zyk@W54?8=H15ND+EQcVVB=?XMBMD{Cw)7@ybg%1V+s06@Qf0f(s zZn*g?7YL-dzuSssIx(3bf{h&rj}ze6>C4JQUb4iltzMy#bDIK(*g;JrQvylg+Wgwd z_nF7q3AN*Rk zbGLCNdVXo}_Hd-KaYOcKg2=3=8+;Gs<2RohdJV_|15_>!WyAo(agrD^te?F! zT5dlXYUuqT^}jtVCwiC)$y77NR^s)zKTlR6+S6Bz%6aR z9WRVgnP`GSvAFwq+12dqjZFq2Pso&&$xcu7xf5Nz=9bI&6FfY;L<1jR3o5*kHK$eG ze}}${6Mi-Ej$B1eqltx?S)*jt%Lz0GAcWOY2Zrl`KDkwQ=6r9DE^%K#-2own6e}=) z4O^w@QvT2B1`R^i11nE#c=m%Oy!H+`Ap4uHKL9aN$YzQ1njPswuD|!=oWhrUF>x3xyHt`Q#$ifpyz~+x*`FAFj_hk~uMDN8#;#5go9~ zJEHOw*ipA`9mX=mJwCUoWVVeYVqVDo%4rC22Qym-hie9DKF>Wb^YLlXAqd*N{rnlZ zik`BM581(GXQIciYRk9&7-{jhZ%1Igkk8TLi}VF^>+vWmGLM%^pKxV}fJtwK{5Z8b zqAf1Fu*fueX7NXa$E1*`FXxQvYVFmHKcj7 zPjX)S7`v2u$!37V>Rd(OA54g%2J2`-BU9aC`1-$B8MzL>ojei#DOJt8Df`~O>Zo~4 z%LTG?L?^14(xKqS=53-ZoCb*`^3Lf^kd z0Cb+N^VOB0xVYkBL8BwRe%_nUoY4k>;*cvtj)ZjldY|l~2|r7x!%6w@^FJ)Lz)rczZ zoKjSouQ^1=b>Y-}B}!G*=<<4Y(i9e{_uWH8eW(1J9pHu6WSg!!yXG@;YCMJPRY+S7 zyG>Q73O@N4Y|6d+V$&SVO|TsTn8dm^Sy>(ZyYz|{kb#3s_Ixj2Qcir5E)Rnr=u8Dw zB0MRtfi+5m4>N4$6Qy1o?d?S-tJxFuPd+06rvGVSv;rmxDc#RJVYC?PD2??Fs6h-s#i(&WcLU@@;f{I(?zdHSN{bM}*_c7dYFc>Hq!$io$ zcI~1vFMLqlRjhK##)ggg2RV&nFcNc62R1YrH)0I(8Tgv;=SE`BDbYo+zND>{bLBzi;D9X>j_48-9 z2=`mA$DlNM67>*wn)(7Z+%b4TTNBNq#Maf;emq%Z8 zopTg}mu`5)ct5;?+*2m~&llaHP?u_kkb0}o*8dyu*c%Z2X1Z0v1{N<5Tq#pFWOtKRdy zYi@pk-+r?)SbP9S5at*UfQ21Mi@E_G61A`i7aeC%zHO_ZRaaSJ@RKL(xDukt?%w-| zN`M{}LQR6xjl(JWfGOeaudlzonU+=u+HO~)j?y<7Jh|bwwnC|wR1&#`YNMJ4?O8KtdmH&!79<=UHFIVHkYn%`;yIycHs=t;o@|$%yKC=3^ z!e?KLV~OPlZq^(q@U2+tzu&_Y*Wdlx`s6zNxQ-4T(W5I<6klZJiPNrtAuv`JyhbS; zI~MGE>0XYjR(`UZPX(5Xhq-FC6{iP-XTiRUZ%Xxhb@7G^kAkz?BpE+k-}6te!^wLwWN@|tB5 z|IYR#g8k@DUS96;l6@Gnlu9^SNZ&=1^-LXWlYyP6uu}5@;?&U7l?hzczA>wr$}R z8X-f=8>uE58hh3=B0=I{brg$PSdOChIQr|GlYg-G?*32GOJR|zSFQ(m^Pr&|$sy5I zw&v7btL7q!FGgl<{TLnl0Opg!d~%_OQC2c5dP!9-FDOkrp66{rS?>C0>>3;>@Do+d z8jCN}i&)ArS^2uLc+Xh?9vl)fvtzx;xSg673!dH{IWonJ@Nl1Ot2J_@OchN{$6Yx} zTS|)eL2D%vDcK%5?TAYXOauDIAH4-K$pabo^Ous$oHeIJ%%sTLpLN5eZV!=}Y}_aZ zADlXU!4rpgCDqYdco(?UkLcdPMz4^F@#*LO>kF(Z;PzAnTp9SOZFo(r=_`KSks$OV zqi^39#V>TmFPs?79g2pJ*iHI3VUefxOG?3#$|eHj;~Az z{@8REu<7_P1MGg2_jIqyDJkrJmt)IuQv935M+U&<=USS|2j1C^ey7b#+-y`Is(Z^G>0GV zQjvp8+>w$AZQJ(`9*n*4^W7WCRT^sibbAJ8&fu!T0| zIrlpPcFh3zwyK5%1u@q}2mvoeRIc{e!pgj`$DiUhk#yF*2*wRc8aDNJ#g-M@nk$0R zoR{3W+MX$jp&HhFdRz>>p{uxwkmIPD%^|=^phT;``=aAi%}0nYeCn6Re@hAxwKpn2 zCR6GUC@?RL7%4D`P%v;-Jw#_TOwn5m-tR7FYw)Y`YcN1Up#o{ z%WgTrtoxEM&LfYGanZn{-@^Q3`m;L^{UlP&{=qLh4j&%X*Pn%yEGGRJyUtXE)PH&}wSr%s36-OkFtwq>zFGHM9-!KQ&FkKue1?k~6HTF{J^&x&SEq z{S1t8))Re&!1Koa=`NM<@z5ad)vBsRUy);9L_|L|JvE_nXH~aVCQ8qR>0oQ*EHYkF zh*vy3bXV6e7a;;!eR+sK)kc56eV50^D}NZi|9(Y|BlMh%#xcx)bx+O5*mgAy&r~?* z5^egSWG8Vs$}bh~0{qjC3D6W3$>7hru1+V@3JU%ue`=zE^=9iE?L*#|NFw=F} zK_9D`>|af6csaOLu@t>g3TU_L{lFtk8-4R%h*SShI#Zf};~PZ$YBZ^&d&k7Fl?iCh zcCKZ1p*X+og=R)Zp&=o{xHJQZgN_LCpckbJh?E5g9Z+w<0 z?6;PPYxN!-hDo?3*c^L5S1ye^5e>Ew*ME09+tBCTX}Ss3L>~)r4tF{Y`+)~KS^fkT<~%$z}7KtM&lu&FtI@udG+;fdm@9nVhcVoD=srl+3H zjwu}!r3O@M_EH=_p2VW)#mJ|%2Pf~^(I~oT{(mLLE_l+I3$wrts~DyjW>HX2e$X8Ol_)rmU?`s_EsCq&zEsiCOh@X!Sexk)nN$45VM27HA_k}^74x)EdSH+(#?trw<_% zB)<5onP)u|^%2m>x_GCTAC&p)Ko|JkSv>NkNF+g8gD9>XzTt9JE^uA(BCEN*GwYh1 zTQ)Y5G!Ks$anSIW*?KRHwdBbY56u`T8B_|r1cnZ(=(GDzuKqVMrR|iEq!E4=Y>K|6 z+K@hGG;UZCrPUu`?#;RuwF@A|BT zwFK6nDX8l)zshJnoKOFCZ0?}gL-gMaq@kHp*pP{& z`X=&1wZrd}@Wl^f1$M3f+++VLjS_hJHUWc>m=At>(8pMT(R5LV3;$>r{iCB{P^dYK z%WVfu)FR3alfT`~s0xVaIZ(3%zca)0Oj)HUfk>n)^XKw=m>P0z!|_;Y=+XbhosBwY z>$}VHM0 zQxxCGknlzS3CRjrkM8FQDU`N0x`PLG zU7LFK*9KKGFBLz907))($ zX10Cg%hOHr^1?Zb)a&pk-<=L}`9gH%3%U>J~zZG7wk7C(}53fg&!}2iC z!<7qi++}Ol|A#D?x>)xC>IcO8j&;9bzIpTJ#N;HlxW>iS&j^dB92_FRs2=MnU5frg z2{OB!m@QY$sG| z@Y_gNp&23N)MK%721CJ(1em|L*fXQ9e5UybDAF_-fq8n$Lc8H6fCk1NHj^&4WxoR@ z?gjvy1Ta{sC1+4U z!}yxdil*oGMIOwZ279kBnp6C7|YP+!;ocLbNBSq$hO?YYU|oC?jB#EGsw&n;Wj z23yx6=nTO(w@$*(IMRz7F0SS2oARt$qk9t*&YAq&EkGaf;XAKo#<$!yv9c83#=RQ% zd`@e+$M?!pDZl0WY@&737l(O&Pc93sE}I=Yx-`H1{8x+r?dtFa^?;k-+CXN7NZk#!yL7T^Zt7zE53kzS_A63l|N!WS<#kl<>& z6Bs#wIw1x3%#HmY^*}GEkjuj9^l2W_TR>KE{_!{d2y{X;3=Qc>=m)P1e|gG0_WQT6 zLz>*EM>7(SP6p6}-+|soV`XJU5FeSvPi`gwbzafc#R2^P$eD!w7at|LCkF>>1nEF< z072?4PEb>+_Z4bZ$;}#(9ETzC2bLTZ%dD(dgX6);l9#*khZ?YKgp9zzz@4I^IqO`D zs1iTtq#E7aKSUHb(9vO@5X*G$XRf( zx7RnEDi0F}-(kf64dkqFa4Wp$mrTg6LVo9vSUj)1JbMhE@n6;h_AKD`adxdqlRgYG zDv=qT<1{Az;dTz0tH8ORf}s=v%nuC<>;LlyzU3)@%19)z7dDVU$Q+rsl{5{SU07Ng z_z=xYD6J5xD(VqzDWJ5VIVNsU?&q5iKy$@1jac&k#K_G26TDcqWcByY5lzjj2?^%w zJC3V|-y!Q*4ds?Cr$a?X+c<+0zU^aCC`!CFrzMXuxB(`eAfmn_PIH_?>_PUu54Vxv zad+aKR>%x95iLy$bphZ0SAm>>KL9GMpI%FcyFh;UAK49=uB)Jt@kmKA6c-mm?gl;X z%U@bbN=uud)Bpv=O^^)J1YxJdb6O~Wzt3Oi&E({~Vq)8?s;Xo_;6li}2IVV321*VY zXA*wH$QeM=oqsj&o@IWV)n*U}#)Zx5@&c&W8i;84OxoJo4-GT>1_y({ZauX)^9$?} z4Lds_Al3;bf})}#1@}Zyhn1mWN$A_nCSJiV1Tg;>@0IV0V}9RooP#nlc7sU{LC;!^ zpXPaIw?%R*MM9nsv!`{^nZ#+;xR#4=%JXrlu>}RK4VQFdVrKu%oe33C&^=bAlWeix zYD|}ozEs%WkgHJ6#zszl@$aG+56|~dj7Ge|hTM}75vdu=w}1_PSV+{k55wn~u?`E@ z+X9^>p8GmqIYmJRsIsmOC5yyxZ@GWQG+_4-4eubd51=yx!9-JQum6YNaF>gT=>`OG zc7e(XaTP*41(RTF$Rq&X4?W`?<@ini2cEfHsNEnAYBv>=Yk60Ct#uO}Sl*6ruHbsP zS#^hV+IP|xMh0@dCuu@<#@XHtS;pq`&z?F``bF9?wjNg#brascIV04KSLLwj#+SBy zvc23!BZnw%{m`wLe)H_4$>4(r^LmZa0-ikvX=KoT+6tXHd#H|qdEeO5BK$G;@ndpm zJwP1dU2QETbRfj1@8d5pAOr5)VS=Io8EIl>Mim!PF*k#QgTo8QZaE@GfXxVXjka^S zd)ArvRLo+kIc5dWZ95Egel|oXI?mkM(cM&DUiWoEMV98e;W5SL1vqR7v8!`N7Tt^ZqQNcrK3PD5AAQ0K7+gao$f>gr~j6@{_i z_ndOprncVXCLO|-P5alo0M+5)^AGhn z;Z=BB+1YtQqmFaO7eFl|E0nDl1hkv3ZITAdF8GCw{D%Td9&b<2AVI+$LO)!rLjxC0 zcrq7fKY^*He&hyi>gFd-0)aaWX-8m-h@Tw??I>X>M++*SveSQRQqRMju2ybibU-Q( zZR?jWKiW=Or|f_)R7D8wZ)<4TymG(kgW#MS_3ZKEDw&(7(^lh*RO7`WkY8=8Pwq`{ zV^G#){jc936-(Hg8G8NQORIao^)#o7omu{Qh}3L1TAWl)*^#CmaUBAB1TB#S`vMkw zdwU2xIxo#RTu?JU&*;mEG}Zj43)vv2iIj2*#l~yPp(5loH+Cs1lG6*^DLXD_;JC05 zL?SsjY#89nxQsIfKU3y4ozNFvmVCdhpaDf_xZb&Qe8kh(*WXC0`}O{JC}C)sO%|tj z2k!998ukv%|C4B(L#)TTDXxKb6t_T%0q>VRFO85sq6AeFcXa~Lp^&0HfmGi%SwIo*%9e{}6 zM?4P{Sso~Q7uL7WqNue}C|3((0*mn-v(?a4r10zIWgh4N*Oer`ee2A(yR<4@%hI-o z$vU`7=MK#hJEVIMq@e!=Mn9n;+b8q!+?7Y^=>QX_JTcAVumALksEuc4W?}|#9p63Z zD+igZQ?|A+d#vFFU7b{G?>*7?j;Keq!y^HzDcjiX* zPxgR?f@|yP58r+$_ztd$8RuAyH&<;S;m)>sBufz;Kflri(HP+`PPeZp6+xH-4|UkY zgc&(cNO-u2?C~#UruQWMwMo7O!py>%~o^uyu1AsAjHdR1!M$TZUX?%%O&b2QR&WR9s z+wau#V4tMqcQMP??@N7`?hqIJxl^a!LhaBQGK9EpkfRJ~b1h8`9@$QckB)wae@Qn< z;U2q^pU=lhR91S&j!mb{EzXYC%#L-$!Ud_nr_8tRQ<7rB#g3P|1?X;SOG2pA8A~w~ zsBE1nTleNhSQyn1656S+Xr)|+jPXxHL&GA-Z(at`zMtd_(k|UOfW7;X(Nzup{OJOL z$v(Tb?2nK~kOf@nEt=Xzffc_nh=Nmmr8JF~K~K1fdHW`>i1!8c?TT@cbbDEF#lj_;Sv z5qXUmzn9s5PfOahI&)P#J-fTRi_wt1e?(93ClpR(&z&2J>R~>ZA-M87f1H_&`fD}B z6RqspkGTuzEq}t3p5hF+o%V8GfP3z8+%M_c5%MGj&kBeP6AhIv)O|(JwQ=e7owxj0 zkkKS9eB`J2o~OxcGm8DC&5J89UE=2-9L%8b^**z9kY1UgC4_dht2LASZo$#gtqatQ zrW6Joy}ryJwz1_05SwG>0v)kAy#MZfQQLmn*j5XIfzatJ%FY&v90*kstWQ>2OS_DM ztsXK`mpDvjdFqy?>FL+JKS4#D*d$PakF!1T;&c`BWo?%T8l@+Y85qkG{|vUC{?tCL zeGc#`Oj95gp-wThYX9%=W;CZ_^~PPeST|uc=5XrT^4vFFD1IJb=1%5sai{Qxda29t zFD?uv%W`uk$0)@cD|oCf%aUIWi--`F^;=u@g__~W7hy5rH6h;V zJ*SgupIo@|i`j9opytxx{ELi4-U~{m$IFe|M)`iXL#F_`nj9oC*@g1MaKT6xfAt}i zV*OhzFNR^Y$5oeVc7tXuDB(DY#?2@AR8WQ)I%u#LJMPfbTodszNcq3?J`P7NaF5{n}ewO1`-#_Z#tC8>^m$!P3t! zmlZ#BCP;U{4Ox8cy*Ay=_ZT(tkZrTu#LiBCuRw)CWpe8Bl)2DYi{B)wDxxQYpog0s z=wa8JYocX73v?qRBhL#8L>EkPF0><2h8)(_-G-V#bas-_;Z4b0kMPqd(cc_eOCM|J z%$xmS{fV9dWN5pi7JrEstn4x#Ylr?vXm++w*K5W~De_$}kDDpYr)2febar&~Bk}>F zx*d0@gk7s3wl~dH*QK*+4eP6$EcCQjoQQX2s*FoWL*=X3d-Kf2!b3#@cci|}FW9f$ z_FiC3LaG(&u5vLkJuf2-FF@`FCHv~|xpAfErOfp7$6h9f78cHFaLXaU2(_NXiH7M# zG=vzRdGKHS=+FK0@64kgl@DT04k!u>3qyqc_E`DUs;se8Y<}FV+z}TG14bsw=tN7> zv15w&3NHQ7+)PK;EOCbNcaP=>A~A{7KXG zo22vT@xtDi^=kx&A2-i@+Wd2xUS^>qtV^?UZaR(6Q?`6g^nOdM>f8k-lO{hEx}KgM zsHGl8C4?qHICN@Yhji4=H&4=bHRk2w!cnc}asNG6JZpqhSpTi5_shm=!beU!B`xh* zSC?{|1jBaR>yYMnFCWYhr8GtYcP@!x@ z@da^#uV25uMM;TdxdKw#6LY`KL82XiL=0Vl161eH$%qk8s=atLX2^o=f7{?lNGu68 zFpy^V%=&J4a&qPM<8$;66qjhAyZu4u0ueJJrU*SxDkhObV2wi}YbP$jMez%>pF)$0 zMb6AlCky5N+uK)1zPzGW{wlaSrVL^8U4gfi&CNG?ddB#6SaeG{n6Voe)XH)$V>OUV z&1uw;NN>?ug*T9LYnCw;Zlm{*ScLXE840GYqL5=ab><9wxx|4bD6jYpwOsB9w*AWB z#2VzC)z!fm1u6r9j~+dGFDvXthyZ|-or*h_u$4eVg@V-B*!ZM%Ha#V~-85z(RA~2Z zDw1uX#n;u9_UH%8Of8SSYkw@NPBKK1#Ws+~9bIBKH#aAA8_*y{VzB{D1>=4{aflfp zI6-GR5Xv{uE&%jkHD&;w9ETtu(TL6#A*&A!xM2_pR2>=;<(bh%6v!_q0MA&+z$w?);; zOJXvx->&r#UfLQt8#=nXp#1CQRTZF@jtkT4=af%o@|uz7il1q5owr_GN;Z*9ZHwI0 z!bA0YLiL~udoO*e3~V2(Wo1NcIaPLX9`p%&dTdBuOhBMqyM04I#Q3>S_h&oQBSJNq zWU;qDAtBJ3z0cTG;(7TGME`PTE_r6wt3Lo1D>$z(X?Lvd?aP;`ihh3b|8Yk|R&4en zebsFFn&sgA{Yxp$QMsCHSt2W`Qd*<3!rJ9kp(TrMrd{F)Ezdlsxr;^3KWojtt_?X* zX0n~JRLP*a%#wBAQy$Nm-}#e@yRtHzdPTdgZ>hokPV64lYrjV9nsx4o4|jgqz!S}q zl5*5kBl9_k_LA|z1`N#~SXo#?Fz48Xo*bI)l{l$;Jtj`=+0DltdQ%GqrN}e(XIg<^ z{Pe>o(f2<-<})90<7v1jQrj%9eGC=F4;vU9C(7-IGHAXym4R;U*M>bdXHn`_dEbUp z)>_{4^wxU?Ig}vmEWseQlS7e*8K%C`hfv zdkz{p5+JaL!)pTq!RYQNL6L(u$o0pu7cVlOzlvX_+X{z}uf@}JAe{*2t(*)wO?UIh zE6?iY@D(l0`?&_=Z^Yat!#!;5t ze^4`L41|gtIKY@=9>2Qljgb4F5{eghF#_hy@N-E0`a?E0$S6s2-n{wY*vji*4VCkD zl#pOoq2?N^fX=(>$FH58*U?CkNZ0E?@C{jh!Sz6=E{Ik+WaB=`<}D;l#U%Ao?=H?< z*viSN3*rF__Vr$7_5=ui{`!pMtfA^pw+Z^V%q(mpnzNm%lQ*kQKgn#W*`jQ#g|PAa zTYK8>N(2#V$!6u3~NSEg&hqUF-We0c?|K>jtkl%`fcTLAU9ePlabbeh z^b(-tJ=Ku@3Vz#aMAPdtAXIRXZm?o#8XEL4)S=sP^Sw|pzrPz~rqCu9 zabB3R`OhygG>G1D|Gr&)=i~K8febypFFto(WJ)8DXw)_~mLis3*WDNl58u4WO0f+s zn;Xqxp;e8{^W^*hE{{+6qtYl(8`%1>gJc<18QO$|PRlQ8t-pA#OV}046x{ zcd;buW}(b=7WMl=fxYC9;a(CM_jb8S6^>%)}7PPDW-% zrzo~}uYUDMP0#DsPdg9X;L6VK1jcpod0xvoPOZ!m&)5KyT*;=AV%M`TvDct0xK{nl zvP|FPu~x$u*5rnO6BY}*pWM#z|MW=|FxdmCX?YVrKAQ6h3|$-W=$n*r<^WQDw(<3> zdz-|O0?%pR_ccSOM%zlCm>x@TdVyGai_=(g|O%z z%ihoUkxaz=!OLsIgG5~k`>(r-3sz=+nU8&)+;Qhl8H-Hgb}_O2XL`Lg=Zk4psGPSQRociyy2& z{|=QsE&w!^Ru#k0TBt#u_4k)RmCwQA;w^U-mzYRgbo6epnIW}BYwo7lY8JC!q zpN<++>T^5jx=;AZAHionk@r(-d4>B<{oFm7Nn!NybsSkKDFY|w*SOTwcsS%30+yHA zPP}s5>FRby`n7lCPFO_fFHcl*lZyPuIcv-OadD(Unct>n?(ovwtnHnM9fpcX%{P%+ z?uke#M5AM6@##L9RIHkEb@gkAbP4Juz7AGe4YB16*8I?2x*@+{%WmH8<&|8B4!XgQ zkzo*q zaQwSu^)5{#SNlNZTJGD8Po6$a@$F7}>K9WHq-M1;@sAm(O3~&`Vro zPn6HC3?RQL=`jDzsTIGhB_SyRHh})vv{s9&`S)y z9Y&D}(rHc4EWc=wn9xByt+p5U&CRx)-|4r)1?4Y{eM~(+Gm{Slt~4!uEM=sym<|II zT!S?0j5*eMeh)!KtDv^B6$fR$-yLn$1L=dJGEw= z3Cui3bH}G~S7^?;hO@iVK5RH7$e_aa{rScA-LAhEApqu6wKws5?I+PgMn)Su3v(6) z-}){+LrvgXpZM(<<;M`ACnIR;KQZ7vQvaYMC;f?eQjU4B&@%rIW-$e21A|K`nt}{A z?az)FJveUY?tb>kv6{{685Z1O`c}pmmCBFo2rG^vtGZdmk(Xi8-NoiJa}bHYfe~Nz z_o^BR7hBTHmpvczf7{eNI%Hy!S6_;5@#f)<*gKDQ2WpbT!xOUuF>~`{q(eSFYy*6? zSZPSH(A2CfZ3Wq%kNC2qg zUctHvpHDA)M8zBo-r?r<#axV<^hkGFb!GAA8NY?JN7XgA_gFTj1uwTX<%YMm+P|-U z^u4lRyrtzbXj=wj%F#j>z7=vg_V|33BiofuZFRqNYS+Q!U@=R!eVXJla&2O6Qqnb- zVBaR8pwRaHbE3z+g5H-I+w_tiM6&I7)jn(Hr)ilOg&|JoE32FPFY58``IS=-H-@a> z2M>InWKO2!h@Se-C7`1-^Ds9zsHjLfJ54aIIzkk9Z2irfEvot}^Ibzz_w8+j%iM2f zDpBPWmZv7kH{#nHfVMw#OJAb9gf)UV(Oq57wc9(2CdJ|Ut#hy0SQ}r`qkO}1a9+L9 zwbydo(9~eC@-oA2eel3u;#}nShLP7^vmeXX=B;}_Rz`BhpLoB^u(8m=k_d)ME@spaIe52o}BL$KT)%55H*?Sy;13~Dvm$B{#%bW%u;ME7O$}l9bKF~cm5kd zVlNcDX4nAjM;c#>R-EHD^HdM1{agBE^ak%(>gauj!p%FlkgwPuph|8CPD12if7w#z>x*Mf%c@nbq|Bgu>XZy|YMI5G>wKJkOnTr^ ziaBC^pV`#h5X`9F*tbIBr)3g980l2rEt)r2X>YINJkqN3wd0<$Woc0(&yFX=82o(m zd&uiwIeg+P4O-taU}E+U$z7J$1wtc$)<;HzB8eDqe zoZnJ@6dig<<}}Vku{|mB)-BWXUmG`4F>|RT9H_%&eUF)T_zs@vnHdGFhUBM1u#u-Q z*yuKLclFIrxlBQvK8J5N4kO98sUE9(b0sL7H(LDp3kksXfByC8NH~p0-a*ldk? zKK0?2rSqlCu**X~0dL_-kfyn&X;flFncPr$eM^tCTTY!!j%{k%v0L}=TaHMi{4c)V z1Dxyre;ZZ`Sy5&}X7)%)X4#=(WfVg8iZUX~O4&p-W$#%igvcfol0uS*WUr9>{MP?> z-_QSfp8x$juIqOk*VS?H{eC|0_iLQ5^L3tQgCuNzjr8Vf9n0i=N4Pve!79%pPmrwz z9e;YOA#DBP%ush%H@~l?C);iSi_`!aeiQ3QScy__`y1+kRFD&~?jt7WT8|BN!Yd+iey^%QXP7Q0&DEp{CWjbz2W!jx?Vln7b67bmYx56Bs~YSFFaOG?n?}}s2tk( z?teXY;}6H@&yxlfUtok1f(~Z{*|+O?c6{7>T7AqG_o>`lT|J6D+$8uyS~(6J-r?t0 z&7(P5>g*KaQsYiaL?~Hz?UiNX%}?y=I+!F(zl;bOCFfJn0`tOqWlmEg%hOWEA|W(8 z$9{a=!6^C`B#LgEO)=cWa!(4?7WwZZ-Lucu?eThS?XqD)=r48MYrBxJLo-iUSsBUl z40{-)`r>>FUcTIB-TBMExtRwhrPx+znOz)oJ6km=M8pJCsgEgv?Y=aWq^~j;~5;NohA*G_BqM!PznBEMJ}3jgH1z|9k}* zn~}PqS!8|T^S8tYg`TApT)1ZZ-Ny(h9e4q1rfeNw^dy}=^{Jfjr@66pimQB=w%&;o zBkHI9!cGJl2R4nyx05m4dDEUi?$bH=>O_m%)qCOqne$F3^t^IeGv9+h$&_S;q;vYx7&sVe1a zvG3<}hlZR1?kMT*NWuGqDU?Bq;squ?B*m)>oD@+88!Gp3H$H#94oLL%0gh~P^jPo& z;XD+Jc8D*9sF^4M+)%{I4%oe}Ya2a~tMG}piGD^ou7>lam#dHqEw@Ub8%i}_WNPN{z*mSx** zYTAJDl18wczgHzsk9wyLigT(c z-Mb;j#+=5L^L4XE!s@(;kZ2)|gbiEWeF^Q=KkKF#rE9*7(#~KOBD#!@1zNL2d?HyB zQx1Wh5h>0C>d?R0w!Cgd84rn3CyB_~POPpajV)F^=;V;vo_?DPk7N>l$)?3*VpJ4)X~dtW-OBj9L50OqkHl zohspX)kVa`iBr{PUbiLufMDs|Wlxt{=~%6ve1epjirArd!I6<9L|@QsGyun`FEHU^ z%H(?YWx|j}Eo#UbhGFyDfK$cslRgFKH_2~)ZNl)eG_RDeH;J1YIa9jeAQl;5tYA{| zh#4HBaevDuXUn;-qu|CKuD==&!;(AZ^#c|YXALgY{Gmk6BW_;j2d$Ik3<)$t_dK5@NPfP=-}OGJ6+R}M-#Nw-N;$J82_mDZxQPCT|Cwr9^F!zOc1sa28v z`|Z(SE|ANeMw9Wqy&mVhu{p;1kcOJxoqK)Yb$so-bnM!^$Sul`!5-6-u${BZGI=I=lLD8Yt(04+@wOwKK-9bl`TX=1y2NA11R_aCve$LNHA+Gm+NVRc5PHF2Zvrq->^f?eH`?60G}Q?v6fp`r zdhZKYuaZl;$U_duTi=U>GP@e!C}B`3X=reGe-p?i7a^#$U&6+tetv9I{`{VF>1#F0 zFxt_(q)i_g*>^kCy9FIr?*n!2#yI{OMFWGWXTFAUkJGKFw32?^$v@vY+7NaW-;@<` z2Qw$+tv4T^4JTs*#jtde&baJCIQxwa;yZVGubh+R$oY=)%+R>RM1b-iq(tT5V9CT} zJ2IkVd`OEyHQbi;#+Hlg#95}s@QJ6wD^3ZdC6MD`8O>B0hIc)v#JN(VgzT{Xh@-R3DY1 z*D5Er(4p_9{JPhD=XGCVnti|H++`Kj>8rfvNF*hB^DO_S`M8}JQ>Lnx!U0>bPh0OC zyl~KPT?z_my7;Ab`uVrefOSyDpr}Tlp>^!$w{Jpyu9rlPmJ{Izn|D2xr1$>Zmp?xD z{O&=3}d)e)6E-fl&XCoshoujeUwa zcPA$35X~E zq^83M@C*l!1JyHr3|Pl7rH{5BUz*a=dgwtjG$br`>9*jM)FDCv>+HN#?D+AH{j+0L z|F zR#F>VHeZX~Nl`_^ytbVX>ZkbJ#wTnegwI!>!08KT>ZT5%4u0KWb*wRJI7G(tt5FkI zP#lMd2o+kTrAci9XHI=5e8)JBmfy5CX!Z{d<_HM1dFo(5s(qPP?mt`rO6IR2)1O3( zB9*IaySw+H$gmu&kPxVBKjG*o0K73UDk|(vlu_AFZa{e`{VvXW^?FKN);R(;9(nPF z{`Ku`cMqNtjlnnU0BWOD?#~XO$IFaD)o+ z^3uz)6)O7NYbF1C0Ph@jcHDL3h&-FD`X$zMOcy^9`#0aqAFpe7nPsSk5cL~700~WNS)Hp&)0T2^ic){DlG|2U`Iss zO;gS5V#{(PHFFImC04AxH3m~$fi|EXp%gKCMxE+DWz}EA5j148OZxx{`Pz5yXy6K# zm-;VW+`(|AtSrN8HG0`9CX-OmZ2c)FfLOnm2SZ;-?bFV&MYxu9VcU*wn^}T7yT|(- zTK63!w?-ejT;LgaArFNlQ0s2V`x>9K-C|JGNX>2Ycv*yD4&eyCd7}mM2ED_M>OK_l z4gH2u)+JeqUpXlTJ!v?17n)jG{9YUuvpwsuy87IlRqYpg6!DA49UMQeLcT>gZ+4@YfSiHZKcq#uW!?1R@= z_8K;2dC1D{8|hTA31}LHk|NB=gsO;=)%Z_F zF7na$cBQkrqiBl?$D$*%q~+vJ0cDr4JI}qxvNev_3&d)F|GnleE{)tFhu~ukR#Yf~ zTsu#w@Za27H@D7+($CGAk?U!{KNuai$e;UQ zj%9%ZTduCfP54a+L?`3f5{n zlB?se{C=l_{St2+rEII}(jE~pW)e)JRK7<+tS;Vpq4Tu7SUdPmQ+xPZemsm43z^I64D1<^eg^FNs_ido8L_)GJ z_$*&W%yWS^U1wSLH*v^3^veutR(y~4wOTmD_uZ*JS_-rfhYmH4;k($ zDnCl7v}l-L(p?!}t{ZEM0#HsOFE2yj)bCq8emi_);S48ceC7@gtvTCyHO z>s0R2R2-=@ZG;w`&vwtbf(`3q)|3!SrUk#@fa|qi4sHAsOP!J29?@MssAAHEw;^3R6Ob+gE z@>6^o^|i+-pty3}us@2>t`XJ#KMP%hW+@JioH49807coJWVUQ$buIbK2zs-iM~|l= ztsykUv;#Em`XX~DJQ7bapzY-=o&5mQAM~aWA*h&tee>4v#Vpek`BN6GnRO5_p!Pq` z8c13hcg++qvESAvHEMZE_~IQ)=jsi{-TSQC-PD)?nKNS8rcz~`N@X^RH@~D;#rXc= z(dVLJIbLR$l0TjdQXhVoesFem&S7;eBCl_~D6SEGIzi6{_sK|2TN>vF!wwoIDO#IO zzYqXw7D#BeAKk>UrL>!y*SaWD{k8@u(rOFe`|>Q~{#`Z>8=Lc(#D|x=*rny96qO!n zV85aDx;5Smq?fRX9y?*cF|E?)N{_mjiXOJJ2%Z~V;qRR&u2bZ|7mFOJ|AdlzA#7X@ zYp;N2>w)2a`SDRXa@R?Bn4`@lESIpUBqbQ!?oM5SIMI&WbH2jw%k=KwIXS0w4>)$? z$=lDHr-l!3^mcrFwuPalgW)r4A~eA*(vgY}4y9B48uIloDjLV7%g;EKU*tS^ASgt% zt|!~X^}80`1rr0pyGu@9G>VCC#h9uVO$MF)jOyP*xyQ||WM`A>?eOcbrODT7*Nue7 zJ3IY>JzT%;L5Sn(XEJFU^0IOlim!~5fd^yR61x|T!q1iA8SFVT4*N|lH(YVMLLuh2 zAx~II!NH5Ql-7BSeqdYlCS%pYIJ=6@yYoMXHic2<9&*x*x3k;zG@a+^Se@SO>S_jL zM&z8Blou}!6RJZl)#vpe%w(QLrWT=f_DARf7v_z0=sSrcz4hN(AfvQQjJ*?B>|9t~ z{izJZMu;Za7!i^tp9Ok1ZK%eN9s#|VA}~L~`+6+nnwJ`_(?9S4wwaBV zK#`##1Qi`KY^&vBq2s+018@WXj)x)eBYudD0QElC)&|%8ersdozn7hMVim$n)@7)Q z3rayyHBiTt+D%J6=kAtjciS&bAHX}quF0A8f7W{82b==u`8+a~R zK{yeFOD8C3DP;ON1eflpwHE1x7qc{?rd0q}3B&K%WoQ2{Uw)A7x*vRtN*I(p@#l8W zpojKE5zn!Yc9%9eEp0Kr67%gqNZlTceEmX(9PLV_3G&R znQ&TQ;Y`O$H1sBLWAv6uI!l6K5(_eY`wWz*X$Jlv0u zHkNA0{lUNs(tal~g{5GXJ{)&NT4xZb%ft`6mbB*B$B(1K1=T%Uw^%s=DWy$dI{Dy^|M;J!>#-36P4woD#O<;X-epC|60!$(3+%)0-ViMD?G1 zB)k{9aF>(;< z(k$;1-YGjH8C#WH=#S+&NMKU={ca(ZWjlk-=mJ|_>?&Qyq7T)T?>j7d_&mXA3U%L~ ze#p`A{3V-lkWnl1QnL>KU(s)GmxJHTVq#pITljBcVAiKC{||-IiP&dU*Kf#}oZJcI zi+^u?$-#n?u-IeK+-V%Uk^GPl!xP|6uThbXbjlFApA|>jcyqdNXx>(wwAXMnt*-!KeO$M1+rtoIyb@jLd zDx{}hsi<4g(~*fge>Uy^^bk~wLc=C)X}l9yn(zxV^Qxg>sqgH>$6FA;cvE8gcE#?T z-aQB|(IiH(_A~Qi2Qhbp&?Ns9AN#+RE`HSI%hOY%1EraW5#%~}+xawY-pY0gIl5wX1=|9h)JcPvY@1{)qasR^UY(KIYKnaI5lNFIme?J2@{2*dxYnz2Y7)Pi(W@in9hd-U|Mf|cDQ502H7Qz&E(-r9U)n8TAzP}w$T%I*C zmVTtC33%aL^Q--T&z(klN4|Vr-4nsZKYPBlA@{=x^A#;ZC?Xo%`WL~^Hvih?>hKm;JPWuQQ49IFEKd|OCJyypc`iGc6 z#VE^5>M1z+#}ddWa#f%B?YM8>8MYHTiR?52eafXK*nG6{HCPQnIDlg#-DC*K2(U7F zsd}2&9R(~WEMoE?q_*}BN;Ohk=8(#Dd%_6B$mrd$Ocad@ga*R0vJz%z|0ZJ^em75- zo9NFmR(}?$m{W_vj^@3^h6oml?sQE{R6mpj1%fm*m+5DQ=u09qW5JaEg8m1p&KCiL z=Z${p%V)aq>h}&*ZW}-Q@$M2O4wC6+db|dHdMP?m&-2{{k)Q9 zeMIN@Yfy)lr&*vtu?BI@Z4V_OgSMd4{+I=_!E}h|G1-XjH!+(qk!cu++WD{KI0E?E z@I1@=SaSggWYFL`yqW$K)?HJx7fL%OCEdwFl8+01?K@KP7yib8=lj+z=$Qplv+naN zyJiLulMpC?=$gNM)JY*0)T|V-@12oI-qYi^cTz;AoJqO|`K|kOu`%zEsTBF>-e;Yo zkGXeFR<91j$}t$|H%aquF{FFtLMZngOr*56_Z3z9%_0Vzra18cNkySTae-m-D#)P5+JtNxwC!+S>lW?Y;jFEeoS+bD99=(W+;GAa0p z;=O`{Lk6O%6N@>@RhIkr^+gwdeZEGEb;{Kd(%&VT_rfE>YQj64pMI?p@Y))>WS!AT zcxPklGf@X%F(l&|dGq+wMtnQlkMBtEmEgPP(x=@_imM`q#0-V#+vuo>p>0jvm0Z8i znAtyz4h05kxRmqd8F{I3q4N14TE<@SER1SymO^C3iA-z9i9{WwsQiYL0I%*n_$$Tf z6FodsMG?h~nsk}*GH;^Kv3|R8>K9kFRAhaHyA8aHC8Un^u1)k4xEg>DJ!aT;5)(VU z{LcAJ>DH|Q{U`J>XoWwOnba=+Am}B=>KxM9M_?J(K0Nv|{4R~1`pK36KoP%xhaR=K zOQYhx;l&*gz*z(UsK38UUg%xVvrMi(zo*#y#MSv%ud~U@Jv<c2(q4NjzYGpm;X;WwSgA_@rfyRr7~E8UgEt0R?d@=k)67AkBBNN}M(D@T zF%hU8rmrM{m(74B+$^1<1CkBclU$dl2PA$DxEmEXk&+HKKqgJh$0G_$A3iJkgh&r6 zk{Z@R+&Yw-Glv+Ba&&?=eq_=lCQg`dcs$KHK*_F2X@EJW}{ zjCbmap_Sx4{Zm;}w-s(Rr)U@xZecEjtYl^TKcl`Hnh|@)7RQsep1N9UB88wC6Zl&T z$D+st@_Vm+CGJ4UL9k75NifUe1^J%>6CZ&-E|~{PHVC^ z6Q#_f3j=gmg(?~mU7Q-=D5oV5hmc0wf(r;HeQD)p`2rO!YQW>d(q2wo&zQwfc`rZ7hB8 z4HkLw_l@e^tn~36NJxL+>QNSm2`>RxS)8Dj@{`>&{i(3-%j-($TGJ6gBrbu+clOFa z_`fkx%)CZ#If<_mIROLS`kx;MHT~{INBa{#8*oY>>?+@x$ztBD-=}pM(sQ?q&cbhaPhZRJtYI67{MR507k%zQ@7wkzq7lNmFj ze31K&fUnxoM3~l?jLMPr4(<6-W|l7rmp+T;4SkH<&8#qFS?+LxuqeXw&q<$dN%vWF8Fpgf+0 zWr09UO0dEXlt&&X?1k4Hfp$;(522Y|SZL^Yr~pFb>D!?iH*suUyv%QeR#1G!qkb$^ zV0EzeK(WOhvNyIvvM0aqWFWHbI>74Tai4uN&${EnVV5V{kCe8~_$HHMZwq3M+I`~9 zHP|?RO<3hWH+O?k#?v&Qv{c-C#UpNF18b(7LPB|U)6r2!oF0%1<~kClnfNtx*aLo9 zwzllVhL=Z3JTJ>M|0u1TY*jjcp6p;IHxu*Nv&fXI0^Y+*encNI$~~l&o~ZXjUPV`T z$N5j?wu8Tqz&(3vOPBNN@9`fIkN`wDl%5&Q^5AyjMp@-^-eJ%GXo=+SSaj&N-4 zA}0@sio#OXH#2bm7MDt+9~c*lPV4GEb6vFEaZhBL^vIExCXbgD74L+2Q!X1`&#Jkh zK)b&w*+|0SW%((>cT(=vU#xCJ$^w(C5xjnQnO|WB=j>{d;_d4*VF2;#F$tRZP#BM; zd&gFufg-T+^0x5WGaca`}0iM z2GQ_bw9YUaiI@ots3VjpgjQce<+lC$c+w8AVjdFK$JfF^tOJLNlY=7=BjnrUd&wJM z+|KrU#nXZ{{lZ`7B0cmf$PhWDZu~)StNi-M5Beyf-Q*8$KYDZ-YXck_Sju3xvx^mF zM7JA;>ItBCjJbfK-g#8S#$|c+m~sYP&p5^6gFXFG5E@acDC+f>I-H5Y{1*5+b~#1< z#(HwdOznF6B%PB&o4TN&07ku8i=)t=_%j$Tb1F2Oj3YgJ!p;2PnIRRVCL|M$TiIz* zzj;#lFq2n?sxh=mOCr(QC3S;#{p^`=e#&vOm~05U6Ccc!{u{La^OfGEhY|1DD=|CK z?SQ-)nls559Yiyx*Uj1X^2%-yK~gFAZie6|hk_e)3q+oC`OvZC2#VGzwX=*O4En%G z5fG4(VTaa%`IqBkiOgsIA{!jS#{Ex02sAzv-mC>a3cPFUrB&k({}ZAJf;imruR-tv zI5b|jw-dFr80~qy-l=fMYwjx*;8KB6y@o6^&YX$w9pjKiCm9&PJcFh&>&98iMW5A2 zK+O@NqaO&YxuqyePt2rRJRJ^n+(|kd40dOdys)8K4B6jVK`=UM$V1<}GR}tQaa+-Q z{@boY5)x3rAnfaCGyuGH8U7Bj%A(I#3Qc{tBTY$3zq>WKWi#`3)V_5~;bx69T<8Sp zga?9(8LUJ#`}DNpoP_MeNVwWAidnZ`f5?1(UmH_(AMG9^OT}b2Vuc`6xodjz-+8FK&eJ@yR>3aGKVRMmWtDk3c}Q~LKNpjbz@n50beG_# zxut0ae`dn|vUNMtg&IFrsL%zeb1Pz}t?hZlyC*Z)+yrI8AL0o0(6WFze6%RR13ppQ z^5VsdH(|$X3GEZFh3}`Tod7K{z4BSPg*9$jSy`yDYOc-mXx=-{y@!LBmxPE0Ud*hl ztm@pcoa{AF9D#Hb{)k|g&A`9_;k|8^Lc{Wm!p2aHBE8*UL0E%?KdivQd`Xq*P6^tE zp0qpELAnN7G(JU<#8GL#7HWw`AB{J*B9@O8*f6DQvCjNCu3>Up+ zmKYHcSK3W}U5_ICJquE3_S5$E3)a@l!k;RSKJuhXAtEZOt*t#&IGnD@Saxl}ddWBL)A!&_pW#&6U(7XWY5aW2`Yh>ScZ3md$5p{)Qe^(W)_xb z5DQ$JhK>x$&Gd|nLyb&VE?>R~4J@0MmKGst=?B19*M#wiLVjmUq6y`sE z{BZpB`DLC`2(^|#d}}!b2G20i(Y;}^#6I>tr{QY3;RQh_79P3btSr8aoSas4b}-XnpyU%h;!15PD;g^%8^H0khBVMgA!$m*Jl;SAQrud6ySmsiqcZOc8`;#CUjk z7}(i6nJn`hJ{06#Tlh}+0{A!(KI)I=Pzv?k$mHI$tI~Cpt%l1<6|&ZN$%p7i-Yukyn6b5D!0JY*kB`dIO$IY!;uRw~RhT(Nbb zI>F=byUu14$IatgIuSDz5}Kt|>9G8hNb>sXZ*sYFwDIMS72W+O189aqCeIE|r@-U6 zQTpm?%t`Kd?+h5oelKf~C!c0eq#ItHd-(B%>(&@+Am7cLiA!@(1{?;hjf%Jysv1Vn zxhAd!x^^MMDSpw?8kd;37Q)A4ZP=p~-V$FJt-#vuUC{)MbS)u+CmqkULscyonFUHj^ zfvitPYHEF%^Ps?%1wo6T%mXaf3KhBPrx495is4fG?$Zt(nuYxL5V=`nOp3jiu(Tu~ ztgD@MSH&w$huLA^Dz(hj3GX{oa(<86DXDCVKb7wlc%GCqc`3O<**!b$LoTO#Hm{5k z3H72C9O`moe0QlhOQ=LsNq2W^^eo^QBY98e*Pk4BH@V;n2^AT1@WCk z;D_7{4JC&-&RA4wNlC2edUH?DVY3WqnT|lRl%P&m;XZW>GHs&}wm1P@AQAYj;7`ZS z*L)dWnHi3Px{9KvCIuoaqNuu-R(pA5db(Ber=$Yi&+{eKe}hz78aITim@vFgcri3s zdFQOQwqh8=DSJMn?ko{)6P=z4I>r_9a+ia(z53$3*Lb!H(?+LL&nWn$_j2XzuFKjT zx+>qpEhtD_<@fkbPftq7VBS=g$XOGb*7c|Aib^va$Bq%Fs`B?;KiWeWWtMi;`a5A` z6zdCe2zsp6&d$`?dZ9R0ady5`R8$y;H@jq}r8RFs_b~vg?AKR(_qQ<;wYRrFO-l%)UMd-7$i*;Hj|{`bYICW;K2w4c?&Hw=Wd_+Np>mVuudZ&D3l~-lAdwnfKgU z-`3(BA{%(vhy4JY$lmy~|DO!)ym*wt?^T{Jsfme9iHV7E6;*kK2B$jOPUIvdCsUhN z@x8n|_GgnD5~w?%{dXiT=Q`nO3QQi`)#6Y50oYFjuE#K~y1l7u(j48&P8k^>h9)G&olDWHhEfcAZX=8%8lp)>%`FMpgNHd(KmxQdQLRm@G1tb%U7EG#UJ!_}-vwgk-xn2&#J zgNg}EbG>1;&g_NMXJKK1sY>1T^?k?yvT|~B6Wv^Rf)M!M4mDq|m0zp~oTnd2ZDV9) zT(iW6oh$Usu5rD3?i9xhfyFQeVMW9jh{PU@85PiTp;$Fy6H7$&HqG7su zU&5xYrDYc+L>ipmLz5S~{Ie@72}xtUkgCYL@Uo=K$ZV(Y=kmx%f_`p@pg{rT?+UxT z3Ed(zc;_G*0dYHWXx~DoPtg6Em6>RY*Mq~|C*0gx9t(+!i(*Ih#GR>GWd!2bE)-^O zqB&Tf=4qMr(w{onbY5E{=f58G5*{=rHd$t7R3Q0RrIPI-L<7ZZ>~t#EHykd!pb2&z ztyqZEaqe;BLdDbC&_FWYsm8&@mEcLI69VBf3jAG<-5PU9S4@2g#PY!93cN> zC7IbsMS-W!NAvj_{u3B}BQV6M@3^v{di&0`2AR+Ue~)t9$_Z`4QErTI2h-01NBI=W zfGQ;#^R>y`8X}^HlBd2r!k!X7>M`37&b!VPvIURSPkS|SZ0Ff?hX#5I5Tuxm)XD$; z_Av#%;>Pc(LcF|Cg8T`z!60f-rr4I-21!Zml&YVV&^MHHTqXTf9>T%-HN@h>+Rtaf zhE@Hgbv8-Yyu653#r}9Wskvv{D&}h*nOkuis`7<95Tw$D&rX=j3&3mlVWRYsC^rwi zywd%HrqkRxyH#?3{61?i6w+E&sTwgrws)^wp7D{A(7U^KcY0`;tjXSE?A2mOmpOiUDUBFBPSPdm6X9zPqvGi`mN{5qa0})SOJ**svj-HNA6vGJsTwLF+EO!YY&|hTwaAM(HCW8Y}=Z7wJ!? zca3YKh|iL5iX2olHkO35MyrfQFxeGV4Fq2Oy53$AST#0%Du3D4cW#_DgvJ?f?v2cL z4)V@7Y1@!@L8K9MQ!n~ZD6x%*iiJU82g%wEy@cjWYSs$>Dp~%|gFhxM6;ZCBQD9+Z zr2;wZJ8NoR>c1|*cVly_;pR3c`sEL;*}c>sbDtT$AhL5N`MVVlGQ5u$ z3S!TpD6JoDY5`^O^%FU>xkw%J!xx}I*kfT)O!9O3A(vF*J_h9%&|U=mT|lm2${9nD zn;94w!1|sr5$4y#5O4}s=LQ4v!=%>RR%`AwND~`Ff+Zv<=qMh0t2ZeT0>bLv@Pst{ zh<>yL#pNe^bEitDKpq0IiW#0~9WvzE*61B>;s@m#965SYs#mO9!)Mb$X;W8QJ3yIp zlvT-G+a$~A+O=zd1r@7jE`_E^_JpVW{JbWrb&93-b@I*`K6=&1LTNNHWYI0QDMpI+ zVepuN2rKDT58CWfB<@=Xe0V^#5C$Yj`DC1a9E##9Kpe^x=9I5e_>S%3k5uOlh=~!| zvsX9l!k<5{b`U+yP-Scrd{D7r8Abz25w)DRAvEqShqPaqho3lk=X**v`Bm8j)>r5B zA!qQaF6pB7Cu~Sw*}@YG9Ev(N~YtNj+sH{=q~T6oRZDh5}$eQ zodBcq77U8NegA&K#3bG`TtHWUDTDJ!vOwf`)LL!@?=Gs|>YSMPCF%zcmb{v1WOFF$ zE+mx+hGZ1bI?|+}z!FPHhWbFSB3V zhoBi578;6Mvk%i5ogYrbjv%QJ}^h41c z`qzX6Ln~Gv(RTw+xoDnDFdJNmtkd^c_OZ3?iDb8<-|W|2+(`RwWrNe3uDv*_(Yc8Mbcc^jaR^Sy%`gQ;3mm@wLKvI=IzOd;2lYIM3zd|N zjMB*;O1j@rsz5>iCg29-byp}6uT>BvQ+$6v-|&D|Hgw{kO7!LHS5QwsSfbWJ(}}-O zS=OW1!FKdT3ybYU&F$?$<>f~SWmRr21+vncrlz)XJ4?&JhA>8g8YQsyMo2u-3yfz% ziTKOJ1X;0RIC`V6P-|LatFi4)u}D&~YuhC*;c&aZKc$KCL)YqM2Jh3SO;4!`+&vRz zg`Y_%eEIob*VS#8mzTeo_fu(%Ao>WgDKRlIFcBhvH}8NV&ejbx$RU22o~A+}Jn`el z2(vj0xN785?KBfa zO@;JHia+Uk_fB!DFP|2e0ffg<5*}AmBSlK}*WwjikZ)D&o-(tx7J2@BLTxG*)v>Ax z-|FL^kSP~^KV@*?Q$fyvGmr??N{{JzE8mS(aXme~`B#zb{N5d_J&$GXfQ1x_YUE1W zSt}-vovXi}T%@M1nI|;*iZjESh7TpfK32GAqCMG8d~+uWN#Cj;`s5Zk05DmG8=XHd z@&DW3num)6UvF1bQW}dorLKOF$PlHfWq2_JuAUKOkp_o0|nB z!-VAI9(O#JNpPR&@;{lbbL|#H$BQ%*M8xkXr(8a!0KGM9)SyDLvX88+ti;*b*{!iD z4Jq;aPjFfsH2!tcV!=V5tyNW@8J+8^RBUq|^ll||c`sfV&<|BZ|MZHdXQ9>`PG4`K z8z><9BUp|m#>dltf}6v}ABbiaVQ9eUQ;A-{5mJ&rfhGLJN6tg}Mfm6WF=%6%Lxv1C z2tGnbj>JRY^3G0D(geHVva&MA_2p^2Y^NJm*=Fgz_X0YL)uPxOd$P2JczA;4uFVIz z|N4A?+eJ~cYN7Y2$yIjpD^BM`)+9W$o;Dw>SSzZMwTpK)pxw13W2-W>awbX+*bh4P z%h(!dhuY-*$B#{3My99O*QwFxn~$}a_52aMvZ1D;B91@;)Tj|20sTNnK9&#r2@ZSw z?}NlbfMcAU-xiouHWH*fc~3uThCJ8DZ!LE}qO|-7wKPM7MnKH#0##8dhvo}z#5;K| zP0Ud&EXiq)GzrFrmg#1RkY$R{ZJb`t{%TqiJK&+;?cuY&EW9_YK}bkQtNJZeML#}0 z5lC)Dr`T~ZZ*oB8nGI=?yze~&ZyCko!=@)WP$U)i@ctg`tlAI534RDb|#fI(9@Y?G9 zGCG_vVy({P=VM3EzywWor!uy8U1mUFGAeEZ^*v{HIXCrg z`j_GhU8t7(p^-RNuKAneD>P>*i6B53FIoc)SRfd&v4;N#*>K#sVlo@%ZMSZjxA7_`Zy}_~4M)JQGmjv^j4D_AK2{#ZPNPyScIy$VVSR^k&%Z=~3 z0!I&JV@`%i+=B-VLc-$`H@0pFma-;49jR02h+qkW$YR9j3nNrZ$H}r^nAba^eWUpN zYCRn7N>gx9P%WA*ltT0CLc+oe`Icx}-n@Au@X-u@cSN=Q{f6>-2_+?m@IM+x#)D>^ zJw19HR~Rng!fw^vxfW{ecfLv-b=g5r&!eoCNoTz5D!((Cit*g6 z;SdHo(jGs_goT9>{Jng964oT1K%Nq2IEfD*w#@)>ixmwE3k$?=!V5n4ZM3a&=H2p& z_Q|E(ywb5$o6aXEfLK66FLrpv&V+C3?;Y$d9Vqo)Itj-Y8fRzLYihJX1Bd1|Gn-72 z?g(xdGtV~docLyn*R-wd4X@2Jrk6C;1PAZjzI{9Ff@L8`_8L`Sx%1%mvvb}C59a$w zAb-5J)!W;foSl6K*=4-4@SswK>Sf3wVFQ5kAL5}Q5 z*2vT`cwAlB(#B>R1%>Z^S+5Af3qeF;v={Spd~}0u?_RE?Ol2h{F0)i|p7hzMN*-|_ z-m$TJOka8LTpkfHU8^~Bh3?T!Q*F0<1}8g{h1yOI0wbl|dza+)9sZ5AzMhS)me|L_ zc`rBRvK?GA1ZRje8K6OUq`SSYXi2#5w9_a zD5Dr9+*Ymdc1y2s(^pStQ^3J#t+~IS2?CSzYX&!WyMIZYcP`B7$rxDra$*lP8^Jr4 z1ZL*dvBd1-m$WzT%qYk$YiVgk$H&JP%AFmu%)WRk%aKa(%%7BHGy0~Q++0E62L6!$ zh3O?NL}QgbJUoJ@OziAaB=uJ0gDz}6kzJczD=V_qYklC(*c<$=_o~UNo?W5YNhg`7 zlLOAEeN_RjWATgH@$(B>7|BdjBb!Kxe6$s%C#@Vo!=KoPqd4;0R;&ub5R|+ah?k5u6M|9I) z`SFxahkDBi+`TsN+z!IUJO6C1{557dKAp?V4tdz!yLP$QHwCS1DWTnn{=L+D(KZXL zwsABWiaCjum8?2CL)Zdos!ENP7J$wuirqDlBod4}GA_=2Z6H8)zXmI@mE^j1nW`;8 zvp52XfIh&^&r92Sq z1P*80m&c4r7D14m2s^)~!DR;Y_L|cbSNZn=X)+&COwcg9Z}^a#CmkX-37+8^{FD6@ z|6eT0QbXn*d0$XY7NOwKJC)NuHw-cNiOER<&IVmj&=~4bI6!2B=f-DUVA0? z8KveW0<*=#gW*VtsEYEx_hof$GZc|-#ar+2GZcOB<>|^i!@fpiNzd`^!CW_11-h}G zX=qGdn19Z^SAL2@TYa?2#oEkwiILE@*nj!?v&p)>zd?osI~}ucR^au)f4KVz4Zp_Q zc|vUns}p)tQ(fDyKIRl;FX{+c?2fXr?fuGi@3M=ptI1s|a}HJ)<~O;W%o#n#uHg3w zlOz2fl5I+4rMUusOf|T5`f9c`B>k>`Ayioe^6>YXGuZSyuoHEfApE7Q67*;TOCjv=?4jgz|_bDq|QrBugMO(Y` zeoVI`#z27@<1~9JVuR_j(L8^C$@TdT=PnNVqi&aMV5v#*pb>mfyZriMln5At(n_#HNd|wdv12A|@tw{ZhLPnh^}RkafUZ#q4{s1T+jir-yuZ zYHN$mZm#qm^^D+*)vy8pD@;j6zplZcQg}42Qy6zTS;`dKsHwb-V79-XO zr{f#Pm6V7vavNvOGE0#|1V!h}t&Ou1 z0Qc3)+%tS>)ZU8|v=yF=e_rH<#@?l2lV5MA!MF{`hEcMW;?$+=uqHQs*>Ow}%(wn* z5+<(@jt7_yeg5+*yQVUpKX=SCoIA>U=2!6d4wi*TF20r)W&~DnZ$?Lplw1!jdBur?;h}83TA^=LIGou zl2Tu2N-&c?elpvG>S0cu3=u7W522@N+=^aalou}8Dyk~l?{#u=e^Ft~b>P7My}XNG z0A%R|IuBJDWse0B-OR~3l$W;;HitH_4~|^BcmILk#3l3a?(2KW^B`Q(U+F12!{k<) z>>+&KV?S1rX^r1r^@2J*%gqR3>R^&vpvlHz{)ZCv68mY%TFYWCvc)aUWgH z;M0Dy(vu=77&@&%aTz8uqnul}5OHpL&T!w3y3xTw&rx@E{4|J-)d4)3w~h+|o>RLV z8~YAlJiy;S(G&Vu#|VJ*6S?z*>8>_SxHw@~6Bf5Q@zWfD+Zx=iItF)j`H+92&?4hE zO%S;U9^~=k$EARvLA>wmr!w9bzB1bm8U69FcqrL;R$sqy`qQpQv9z2*I@y$%p}{?a zfl0Fcp6C7(Ffa{Z=YqMXDJ(1H4PPG&SM#4eYW5bENHqFbFf=BOL$O{{42Xa_0_Ez#>R@&zJA*#WAS5W{F4A z%+JhGS7Oz+6aQt9RoiDfvR4+e*H`zWyBh(qPlwv3Q=Whec31oA{{7_^>&s$NQqOB` zl9=Zsb%e9-2GiyG`s{^T7^jrss^$K@imfiddYW6VMS)ogJenX{_uSbj=oVG!6EughK~fo4ERCHrd$Z$2Q1%stU!VGT+-*KAl}<`Lu*+=7t&DHt^E* zr+5o^gY=@%ph|iE;;5?H@1>S4d3a8a{~jQ?kPz18=`a{borZ0<{4pF*UtcFF>9V>f zawEaKBE0Tl@Ge-M8Sa!J;ooj~+%Zq2rxyvJ`BrFXxM$kFm_&7h6J(D;VTfWohvitD z`02+kM(fL`pi5R>%aq%7f8C(qfw9MS(vNH+Rz?D2bJ%>P|-M`=XOKW_hV*Tkd7ncBR>7f)8S&^*7 zxDsjboW64K!Mk^6zujSDleHyta@sW`<^BMD{{uc`{(WtnzJA6p+^ZyLX3lWrCx3x4su?ZNDA@dBM8(@2k%x z)t5RIHD+g)Kd`pR2TG*v?uV2rAG0TH10y+$+aEiRFOu1wGpmcXm%FgNSJ7aMduSiudOF&*0?ok8C z=aHW;yKvmzo?$#Lt-!8FodS+7Z!nLXA1uts2tcHT%sE}=rO*g*Y@di+oV}>P&6^P* ze%#0itlfK6sWFG5TbQgn28flEOs=o6KCabyu)cDaaG$es1Qu}N_^|-&Nk;Wbt^O2l zBe&=ofYzcHfA%|fz0d8GIbE7^nn6dv#>N38H1px=+`lE>>;B@wn3$MAIN}0X=SX9! zsCa-0&5_{^26SRXwe=w!Zgr0_g03DKd{t6 z$#v6P7RGp_?(X_St~+KhxP5MC*)9Vq#_&IX)+O;@!O^-CA5M82Sjl(3eY=WR8HSsq zhLTlpax#bMXn~BRvuqf?ebp$+RznoRluTU=H#Xhx5Tf_4>eUobqz?szYW(^BP^|P=P@2# zS#0IA0QwtgjX$_1ovEi6CwB4p`N$S^BNbKo;G|)GA>(fWefh!1nr=s{ryo+rzbtkC zI9|aKH0!=POSL%tX&;_0;jz=zW}F%qyQEGEIyuhUG@@x-%X2&5Squ_nJl{nX1@)-z z<-MwgybE0BE6j{^D0z5j&*d>~%YMEpNGxyqdVYTFe4f!>_*=i&r=d0}fTu^fuZQ}? ziM0?)hrt0dSVR%RCC(F^6n0}9{7u@)PciZFf;Ae`sTe5jXSH)yPWD;gr6Amy!OHXI z^WUCSVJ{za4;%<$pY`vAPultg0vSQUaw*AmWE@s*%RiMqSFTX%W-jASsGdDY!M|7T z)$iHG=S{b$wz_(Sf_fA&tygHt(s0%QIQ&^rK$_x>mDsWp@|*FWjFh7xvNBt49^)DWb71q=txCZHo$Ed^WsFI6sV&718#~7ieK_ze@ zIXU^<&nPbef!52HZ6kvz?CPv^Bq}^zs1duNH#S~5++9o$4Y+`C%HNeb(Ru>)4~`^X zb~gze?|dKjSnZ^~{;tjS@?`euosh|o8krxnb^LgU_HTqq6@#(stw1G;-`Dr19QZGa z-{HfPbGXH{FQz_>LPwpeJ+V8%Gj1QDF>7C3oP@8^wi|!0-SZ3LNn_Y|tVDvzQtI*- zX+pZ#Gx4LhsV?{}-{et#z(R-Z(}GVulugdl>X6lu0HrWdESVJeNO)e}R?XLIwKpY+ zZt7FrLHc^ox5+WHuK)2wFxxYxXmPxWa!Dhf^N+YbS8ylS{% zjM{~$cOX^E)ZF^7rXllMaH5m8_6zwtw-t#XlemS^7w&5Ikes(W~R znATo{v-!UheZ*utoF15NzEh`{6}pZhquq6Q*z`M4YZtIKQ~qQGd{10db3BC|sjgt-KMuh$I(hD>gMY!}|jVD5)7)(rue_z;o<_wdTfGtd3h)k`%Ss}PMofiAr zi&@rtX523!p4lW7Ch?Kzh4u!j8w8{!98=ld$jE7+8OEx8{P>Q60dm{3U5pr9{LObd z3hojndix#;Huw-x#jl83N2mNt@p+9%bHVtG)O~X#NO<3QP+U^N!%wR|tmmS;)4#Yr zR9DA43|^n?xeo^hjyiFdQ0l*m)Dn=i9K9CKkTz0KEj=5n2~<2`*Fs$+vlk=Z=G}i^ zB1v)w*`Y%oM)yWBls^1t6-f8RZ*NWk1R<_rVPO;Zv0LRCXPS2bR@qnTvQMVkSh5Q$ zSAww^7w)A(XWT}~zG{qCKkMAAk(lK5_ zq0D@nod4)po&S9TclQCJ6|%NoL{%@nP8xDkxwU&q=<3o29p2#xPj=%`5!zh9QFJqq zxIp$h=shct`tMY^dzR`TQLQbQa}YPggt)b-Dk1dr+IMIrz|Ru!}?ftYGPd z${K$DTxWECk(YmF%q(AezE%a=#}GOKB0$H!3lURQrG$hpIIeB?moLfo%}J4P^HM;a z1P{j;vuAWZxSh|) z`-$jC)t4f_gjy@ut(pfd20MUN@s{4#`#BZc8(UIdpLe&?aAHEx@xI#Qu=HEPdo`)? zqlng6`IVxOTeouFp26X;c5(|f{ zJ-OA<15aXZ-J-(kxSHYmJ>Ta@bMx}-$3D`3sa%!g$Yj2(ezFkN+x8uBTsh&G0?wHC z)y1KkQ7pnZU1G;Jz<2yoivCNVcpf?d~z z2|O3jE7*!{%gC^viPdt-#gVD0%Q#w(58Ga~_FROL-X%Ik-fN`wp5(wK5MsVJ%kVIQ+qk(l7eqW| z*7Ke3srdOX+n&y%Wxq3c>Cbnofp|Tstfx;Y+@?361}qs&gTq0z1)%ctRzdzTOmvd7&s+(6znyM$hqQm15FPeRa|0 znv|vEa~BP#1j=pWf;(-+Pg%JR{V3U1RVCuBD^T+BXPTGfAE%^DUBQWYKO4Cn(4Ub4 zlWFi8+&34iX>jwwgP5b4N>~WRMoMZ^-_>;=kJD?_lMJuLcI*hJ_zgyW-=)K#47AzS zh44DIYlZ)Nnw7|gt@mVLW<~0;G46uUeq2LWmpO1_A1N%_>k6uQM~GTQn+VZ_8_;n5 zf3WRM^fm->>qoO%;n_o?RU21D@Myf71WNRdn!ljqyFg3w<#pL_>(*~Sy=b}%njGrG zE*&{`Y?vpUMNs&MRA2v|o$4E`^xVnxmX_t$v&ARBT%wjbsc;Y|1(EFy3LSJga6=uX z*);TW16HT@;#kOD%21mY?IWU{9FRtf*Ne1ke}A69AC3GM?Jfc$VUyx?7-@V#{2fn- zzGG;5KWHY}c4Hq)^b8C}cp^Il(gFvVMn_``F>oT`JN$l!YzA|w%PW#x)5d*Pt*<>K zNS(XG?B8uSFLpZfMulEX$Ed~dW%)+z(zNj206(Ql^W#FmvEa*uK9pA=K7#nsviPV) z0qZ*upfqi4?)`hRR@J<54<9;P6u;eqF87@#g4&agkLf&+(;bjJ;m(+zz68o!i0Lhm zjLdBo8q+oR%uJpTM;N*3gzf2ua6H!m!g4<~u&MQ)u@BBb$n)pht5z@Urss=&voLXq zMEw;1-^mkBsrMK}RaVvDcci=Y+YE&X5HpsM_H4(O<@wiu^U(8cP$ElK2zGK_yJilg z@Vj|2lSat9wrL^sJ*^FB>f((WF-_VEDca?i2ctsBTy}Wwn{p|sQEf^o~G4dq$=1mnUx{9bX&8io;1)AVN^;t@BqO{sYEXc-Kr3M$W{bby zvGe^+FYelhXq=@mM#A0^E!bDr*E^8kN|49Z4>7Gc=-SeI{g2LzB1Q^7N5ge9#f zuX{{X)g(#%1j*)Xh5x-~6}F=nd6bih9I@OM7%PB0z^nEYJ5gj|xYeX`vIGk=o5}_$ z?a{4+mo$n~GBbLJt!nvOHL=7Hoa5eB@A@={@4pO|sm^*8 zLB%80`jv?;I?Zs;Appk2hgJdhI61g~8(I=? z@3m{UZ3V<*s5-n4O^3Lr@fp(1txS_6kWkp-E(4GN_PzVCz*=Pz{c? zfF8o1QwXBb;_p-%yq-^)d%pcJBpx}F|9XiaubM$)?y)7J80=s?)Oz(x#aHIJpDM68 z+1Zj-9T&Duh*f|s4-QQHUyxoQ7Yx5=sf!u#o0WylnOL*zf$BT9Jqm$<@a=mPbO$cI z-2|R+J#)mMuRJm6;lp19A|SxDK4X*G^^`g^QlFeNDu$8NvSOKpsDfKk6w1i>v%DiC zbKyH9L_ozpbBz@vRND~;IUO*q#9#5YwYB~xzq8Yi6VV|Zp3hG1z!_93x$4cXp=T%X zDLjwfb22#u=~>oquT_eH_}S%)Dp#g2glb3AlaN&XeZ&Vtf}1yI!Y)65GB?+zJ3IN6 z3kJqpZYTblU~`)u(4T3RX~OJC2X$kZ{JGKe%NY0+IaR)SV+uk652}ZU`o+{tIl)^C zMp{x>9a`y6`_#&p=!dAbCMB&9iMXdk{@T4>WeQ5`A3Tww91zjL1b`OG z9y+&y({>wvBHVi~Zd;lbnT<6QBYvgpsT!glH19Yb7Wa3mr@%+~#XiL+@?j5qNyXr4GhP0OxK;Gax|9UYRe+h!u_&;NmX--8`z z^Pt3*U{O1^uS24M5S z!-sh{=F&1@&wU_G{h6b^gUMM>&r!&7b)f*n4I_DcxW9g?H*$IHa>LYpn2`il`2A&j z?RhAyyd33%M;D}CxR`;LfT<%b5cz3rJdsoB+z0F3jfE~LTeqd?Mv$bctum^s*J8)0 zWKXdyfNDzrN~PR_1?yF&8&Frnzqn7=;+jiv`D9U`_eZvqydLsB^kfP6#i*F zt%Kl+%{?*p`P@Ft zptkI<{se540&{7qIzUTI+>16_W|?}x&)7HBROlE_n{OQh6L_A1qW92G+BM#=Ldt3Cdll^6 zlzSP?ZC%3;ua?x;?D_dhFTF4EdlX(|VZ69yX?lPC(jddXUNHnQM{w`*EwwZN97>+?11(zdStJ#k7CZj{>34TUR0>Q9=_g)RzHy z#fIrTIVdLPChO}-a>^<&93A|9)xT1Heqomm}73dB~``pPpnx+p1A`UYU*o$ns?8SFYLf=)c|>XZK?X_ZjW&rbR-0p zB59?}va-@sk=f~k16LEnWn6S7TI3&8t4Z~j!U0hD#+FE}sMdRG=@}X#TNpK>lJ4FO zEpphTH8%P>sva8Ea{%USdZw{X@;I@=tB{v;C|3nKYspfwLy;a@BPlgI7ck z(Xm7v(9(Ki|L6M@Sl~5_Q#LRY4)PKb03~wASikSSzWyobk0SSPszw(UYCHB>w5Xhn z$5s7QFi1mm$5Xx4-+3N)H8&>+?4A)fdq#86tjib8Pdz}J;^Gc(T|pAKW?xVE>_mJw zW)bBXqKda2X}pY83l4j)c5rod9U_1bsxP<2R4!sT^Wj0Nu{qTp=56dc6wdQw`Fnlb zrLo^=XzV37mP7uD)uIxsdw9^*&b6QAUq_5Ts)t??J3^%2*n80Jcuq*S(0fok#q`h5 zudmRx7bue(nU&QcNlVZBUQg|%PQB!N^~whXC5ma$lDkHY7v~)TqFKknQ#1mgg@CFb zHRfvR^laB|>Yc_8ZJC}jwMKt@oXOxM~5Bc(Z@)M^& z>6d@(T3NKZcK-9)r=rXq($=RU(gIevaoI4@^!wJff3p@NrQr#cTVdY2v~2PAaO4hS zy#CNG5T8E^03A^y=N?3FQ0P1T=!gDjqBORv_bzsIZb9Vv&ivs+ zz{hUnNP12sz(-%uiWE5>WxSvIi~ut@U!<{!p(&1ym9TYih(d0)x3~V*lH!A#z%jQ1 zfGFKSS$*KfNTbT(XZ0NQzdkP!6(f#`2AoO|scku9O&^j^> zV`xaeHrM6{k0GIPTPD$z8+O0@4p^K}#4eReqRVF?#sY9mU~ujZILIT3amq7m|LtDW z>X_%)9NB6pjQZ!OD1l|8H#*zK8^J1}F*IIIi2~~pL|gYKVY`>LGbg8};I1 z>%W_80m@I;GnE)5XkFwaq%H+c=^LU?!J!~7PrgkYwxd+a239dE&QK3e_Pq)R%FGN? z_u8(m8~;KOf#j7f@#3+t@88(VViWK+0WoMdE-8`pP$0x7%z@DC1iyCr_=vXq4F6DZ zk8QZ64Y$RvbOoGI3w#hZ)mxACyO^T0z_S;>UWr8|O)8vX!9?;@{lf71(L(LNbO(Es zZ@{tXxW}TCr0&%W2GX=9BCMD}hPSe06A89c{a~P6nWv}g!Bk1D^mnJ}unDfVJv-bE z^M^e1xUdqBV*^E0xu3(fSu$W0I{9^u6(}VmslyErj{;|U-I`=UsX(m1sC?r3cV^ZF zvcre-hzSjbZ?M{p=h*lBa?DR+R&9UO8{?%=D#iZufX<4XKw0*UX5a&Puu&zo#mAHt+zpa3MB=sM9k{0BgV z>eh!cg+2mm01ymX>@p(IqkSR91L$N%cw%lUJAb%OO3ZIDU#ufW-!;hFkBq0`-?R&E zKzc7?(~SzW+oz&FQ?u<6soYit{He0!jC4fB%J7|$B6??!39 zV|DRwTbRWEasm7aj)4{_K{T?q?j@$(mStBz9nTd?L!^WQB-RaxWm@i$KoP1PGqw8t z-D_x%B=CuX_%&UeT&hcIW4LC&Ai5*(2w%dm{aSO;9 zHa|zAPO$wd#~@v=LEQl6r?)QS?fcx+X3xrlR~8ay=g+e}GIk3dZEfhR8hrXx6$;uz z#jd?1nYw%O7T3j|U^xDEGYyOk;PKxu`5GRmJO?@%G0?z1ogYN|$3bm2VFR$lb=Dc5L7)rBaV&Oh`+n>Fb^`hpXTH#jVLWR}| zcZt@#>{s`a9<9su7Rw!SOG-I=wf_ZIinZdQ%UdqhvTAv<94WQClj0K)$SAlok1Rap zZ-tGFP2K&JeS`8>ADsIzr`9&7U3THwZuhLbj$yt0E7e*HA`ncT`*1&AneHl?ikFU{ zx;od~s89Xdh!@3aAy8UhUHWY`D!c21-nmpY->uQ?)7qy_al%I?qHKVZ0yO;GdI287 zS7x&RwfXpN&XQe+CQ)Xp<<@^Rgfi<}!f$Lk%wO3H3CMgTu;%J*_Y4nXsd_ z=HU)g@z9QR$7g_JF&j}k!#ffo|Lf^MW$)0;@D><}Q7M1zj<^h0n$P-565k>?@XK~J*Nj^^b^$KOzYlPd5?Pk zelNd2?;I(%{LMJ=VwXv{uE*H=QebWCJue(*qr#7ZlaF(Xh96cdBzFk-%Y!sd!*_1j zxBYx$V_34f|IWjySK*QP`dgy85a)N!{u(g8Od6{ckP9WfY~7G75;K*zHpjAg=7 z9(r1)k?b~;Q3)c04Kmd&Z@v@-7!{5s_rKP}Nq<~8z*THXM#m=snp`m?aoq5|}^B=S@v3XNjNI+af zMuvO3lAVHq!8unm{VFI=bZpXnF|RJC)kiQ%UNOcWHQj+TQgCHr^tw$zN~Bwr&z9j~ z>ap(WV}A3W+}?hWzNxH$QHpp|UmwMw|B^VS3bF8o<@x-0Gh}To+$3CED{Bs3Z8HUd z>k*{nJ$3^X{3hX=_=`JoWZ!9A)!miAFZz}}aN{riXdB=4v;bxDz|FWK*WMF3rjpxr zd(y!LU*1@qPFr4p2f2YGa~wM>`r`k*4-1vRkNk&m2j8nX3yl0MjPYG{Rq z8emBX`Q1HxYVRsCLvwf4t;4%8O+X;Xl~hsP==se7Ia%4d`CsI4o%iLCZ)BLRT#{dz zw|gEs-u5|wdZ$49IsX;!p^xc*u||}tKFlBGeTA@xUJT_byTB6(4JvejzyTQwJtnGm z-nnPMv;7yz;xR3XLaCkojY71))M%s6T09qG4BU7{rFQk@aH`j$?aWZyrJ14Q@Ts7W zyYlwc<)6FHyl2U+_ZEkIi3~ zen7U$p3#VXrp6aq6LNs>?)xe#Du9OCwR(nXT!UD#zO{8* zQc_YfwjjB~!NSi?S67!??W*aVFXT*+>p(h2N`j!S3F#I7wDOg)Aph0HL?3_nA)Re| zunoEf3k!>#kPyI5=F9_TZtfc}G2tC)iqnPJ8RVE0DMn$C4t0*HJy98e(!CBp@a);M zaM@^rxL2{)bgTGlrbH&mvVZ)Erfr0QW;fDMb9wK+nuEJM| zKj9rC;B^vM g)b|lRBPhx2Au+x?=zkmOJgO1g{_WG8)OTVFL<52f|iS~c{?Ch+4O%N&8tqq@1 zH?*|01U_~?-Beur>eX_HsEHE*mh;txap9g)R|&%Z0xPYFuZS;~Gry26mS}JZgA*uB z_)Faetw$Ac@V>#>LqI~p&~N3}V-4v$(H$KfoUR4$ejYzzbewdj=Ty(}k)O=xUw{8@ z#Kf_j2!CxM+#^Gt!>Kt_J}n!e>xP>1GC$xbVmRY&vgiIjX5mv->=9lAUj;oxvxL7G zyGmd7n|#cvyT2hI*G}!-&(_i)*J~_;Cnipw8M)@-AK@gbpm1_+E^Uz7clFh`ujkC8 zYyw`1-ZnT6myJ|YbNwWls%4EiUwlE5oiJ2FhQ3d-6KYbc%%vyewA!FNlI%1wF;VCR zrRvFFjiZ11U}4ninP?#V-Tf6614H+luBRvD(~qF^jtflBdFN~DQSs^1r@EFFqq)BJ z-_UcAM8LGC)d4}4mE;YqP86pr?Hi)x3MK|BUxO@^@b>-t?NTR;8IjQ2*X}J$586Bh zX?d5Px%-P#z0Os|rX`h+(#$<%kB8{9wL|SIUSzLbSXh>Z zH$m04vhhlqvfxW~VPNj~+|^qf*{bwse}&!KGacnQ#fJR~rBsPgdu|m8xo5%F;uxFN=p_#gaI^pz-5Q%ZE z%>U&W3=G_k9FSWtCk-5?=n*n8rrV2}D`vPpd<0MJ?Ynoi z2!OKS!^pMCY_32DNI2VI8FaYOE-)5e#3v_PjPCpW`*+;B^~%0P*MeU^kE`zzc#<3+ zPf7%Zo{|x)?b5%&v$~B}^=-Veq<+zVvEvCd*DA?Kqkr__)X5@*W)6v~Lr-T_qEtRp)kEPVtX3SORT6B?e6W%uaih6iw3E~^2 zo8(^n`5~24ts0N=ZCjw}@;*hy<8v=EGX)X1n^n!8(~FQ0syt}QpvnspeK4H!mzjly z;-UA{r(0>HH8l@imX0PYCRiRG@;jLp{REZtoe}FFifjsLBh86)XI(prKjC!&_gueH-)RJ@m~< zQuS~ScxaXfsKu%EYPPUJ702y}*x0blOox(Q=M|sC{dj^shB6*a1=SyPG&GdM=-0_0 zlQZ8GP^%~Ivv!l#iio=UHf%o$Pqm_T>6ur)s~~#|wGzqX<1fa?{fx2#zpxcb<%}hB z%I`W6@!;k?OJ~2?1`Dj`P;ZQzjy#@6pJ8}ssp!hD0F;elcz!=1Yh!{{4|LljqpkOF zqv~K1GK&yUW5K+Emb-< zIIeYD`)>7!OU;(NRIJ8hk6HT6_f@>;p)CxU^x;x+seya>&D7Kw0BPLtqT<-+ ze!8SLZE;Q@4ZURrRn zUvN8Mik&2->6d?gAS9_UA7o-<3nL|`G+pj%Q(vVcj$?2zIT<;*Ec9k_yAr|bm|0Xu$6&V3##W& z_~uT7nab-c3&GG;n8rYPz0T=J^@puLHY- z9a_t=zE|=jC<$v3W;z4FQub(gpD2N46?@_pX`A&}T%hw{wkOZCl-axWQX;t;2#PA_$Dh5{HV;%EVUqfA-};X? zeGXX>O(02wv*~y_EXSaGp#acV)RC?rUR70vK{qM<8J4wrC!!IyP~^<~X_nbD77)pq z2Nnw_^bxV1Qft%g9*fY6?9uJAFE}WIKNg8n2 z)acla<+U?$fi6KsMf{%A4`R)pwPe#r>Ph@hhtf%xAgQ&jroNst&0mSqFo|Ng+eT)1 zb=ue-!1~OhXWc}>>PQ3o>$)#rj*Rb)%wdDo;hJf0WR9Jp+l8nYE)lzh@y+1`WBQ%q z;;iVWD0l5zQ#OjBU1fh_c=Tv4hsq)s_*${Vm3#U$*_J=!as7Y&!;ed^c4tru-MMG~ z?act@#{8aBSDB@y&2YX%%Dpy8`26R&;8C0fgwd(CyPF-Z$%WgRwR7N@2#znzY;tPTQ_Nu?5$1N=P+)*w*`MF8SoG&gV zNBOm9sO@lFzxQyc^zxtPOS|R1`6p)e7Z*M2ZcL8kq-l$LKl|d-g|$ZQ4ysqLN*dSx zYF^q{GnxD{ODQRN*KT7ib!NdIi#mQIuX$zD$B!R?E%5`WBXFUBN|eByFgPV;$J+Wj zQGmD3!T+Sld)9t=byZXPP9~}z!m#PAFM2$*d~g698XXNob8>*{=;(rBlH@_CZ$DM| zTm~@y;{AG}_2CJ=&E>6d#Ra`o2wfML0<_3N2T-6ib2medPT2One7U!BUlpDS)Bn|Z z4s-HZdJuO7sy1>&D9OIpcS6%Os}DFj-ss@(Jo!thtlaa3GMs)ui&K62?3o>Gpv-Oj zS)skYJ4F*p22YbPh{2(3mv!w?fFBoGPI+s7PV2LG8{$}ByO3t@y= z**lFJq2tF6HBvjdANoBpfyK_FxEp+3n8z?tR)h)DHzOWLf;zT?`b)7xfwA&A^@5KGDU4#nlCjo}QPrssqxZJSJkJ zI!pni{mKTA7L9-RclyGGH3G#H6irmHQItHKsx15mI{4}2xB`x~psg0|PlVVC2`f~nOB0VCgwcZ^>QyO|onjQUL zyQ)&)hM(+}u_KkrRk!?AR8*p2mKojGcdE#~fyU0&RjR|uBPRCQqb6%Ek~c^=50)3S zR*cf$vKLfu1YdN&D}qVOlYMu%dJ^t83AZOTpV>&+dQ$oVRk;}{8 zvbHrOvM?)ZT?E7%fr=*z-a^<qRY+3doNtwHyeA{3D7gsE8j`}LYX;Bu#c+_oD&!0bkv-WpR z8>E*IgY4}Zrv27tUj0Yd*Aq(LoVxnDW4$@SzPh9E!TenQyS)bw<-a2u^t`-0$gZxx z{qTVeHb>hDgQv}v?rN=*C-1_H95#xj_CQ387w(RK=#Kg@`{(BgtJw6hiF3#P^fZ1{ zKd!|4wkuq(Imgs#w%dluzU%1}#s={hJs-$e`!D!1ar>QMVPVndc`)GJBZSRLTtb8&#B?Y958Je_-krBZG|D}GpxDs^AeydYutm=XA^#ycUbjG?GFQRq2bE=?R z2!d)@m}wf_-wPU^*1?0<3PHSut<>jxBNCOY~*H2iiA$g%E@Ba*Lo0@z@<~qSfOL7 z^^dFn-$ey}{(~fp`uh5Jn}9~#Z2ocA`P!47<|p}F<4*$H!;%f1>Hhb9e4op2-FwiZ z`#ZeazBS8KcdP}#QUlVi>4NF%{TJDzc1g^85$P<>!8Rq%_y3Aq3 zJ}h}3!YS0jYnJu-bNbXP_w1Ir{{DWxRW*S6B!%bNc&|+Lup$ls4^4)Q=d2}o#OGSu z6u;VdJTgv;#l01flG+B}vuo%`VSP3~x@_>Gw6trjulW2ik^=z&0k}fDh&cG}w471O z_8_a*kHCZ8OUJh%4F3QT4~ygC{i9@x&U+*hU|9seX7~v^@y-!#Ev%=oX_Fsq%CX@I z=hxHYi{=?uR0;~3PVuhtMa3C|%*6TTjcN^%6m1Wvpr(Iv>__j)AA9?#J4;vK)(68E z{DZ%Og=UMrgM(sQ-qXsb`fLJHP+f;S+-ZYJ8%s!-G@9r(_~i)^ z9r6R8Q9-|rzx-O-*#31a`d&y@tw#+X0eX zymCd$z<>rRE&NP#66QX>NAfx$;!(V9a3&PV6*;)LCR%4Zb9mzF)iK4@y;Mu#X=CW6~Zd!jmt@+|!m44YAE0sT&F|#&jgKZ(q z+^TyScvO`2c(xx+l?Xg^v`WnbuE*D|k;3(uXf4&D2JX2~K@w$1@Xy#|~X+_B4exE_hC1@ATtkPbAxy_X$=j}vCeXpKPF z+hLR(tCY@gh1v|i0B-RHyAH`FFH7? zuK)T3p{FMdupAoc`d)j%V~09f(V2~C+mK%Ns;CG8JxmZWZbYa>Fbajo9@c*bka^oHRv0|-oDlQ z{^JKfOo9Y48N~*MlGPlXZ)xIur>xUvXa6{mE}FBnu8N?4#({oY_Acb>5o*@lW~Az6 zm*Qvs_P0Xywt9@&#w`s7lG@o#kKD02o8jfgKy)8!z5x*%>-+0h76Nw)3mcB_Ug*j_ z_86{|IVp|(@Qnr_4nWziu(%imn7kt2r3-%v4I0q@uj7?z9l^H=!MUQO<9L`7me0^+Zkfnq zc?bgKV&u)j)A~D=T)eleF4??!8*d{hCZ;)FsPMk*m2vxpq%!AjX?%+M-d?W$at~n2 z{z8!EWyoPr~lytT=LCCxrD8trglhf!{`TFN((zkKX%A?QbRB)`W939{lg};q$9_@PG9S z13yXq{Lp_eoIZNCMV=456CRA`}Z@-UnGx0MqmOFgJy!*RxW;w$8Y)DiG5n%k3 zN`%j^n&!Qi*2*g3RX2^=zwweEjjgn*+8`4>{pAKjnP)^9!1n9czRqgW#94*V>7T9l zmMn^%Jy~8}Ca6ZgA{URR(a_LnAwV<$JAAL2Khb2))yZS&&#hvy{2*sQOJ`R!UMee( zvLq9RCk18e9iyuGuJ`h2=Vz0h^Y~Zz*f=g&ynC1O?e9P z;P(fur=>a?ZG2^?AYih-$q9K8H z46Kaakzq~Y!}lW&T%0*0X|o~0CNmJ8Z)L^E@;&>!;nX_I2-t&S_bn=lheSxJVrwG~d~`hbono z;@j(2TfJlq4qSJpy{jl+dyV|^r_yIJ9sEq4Dy}XQC9-D)beodyrX7Ex`@)=tHj#=p zTHD*3%v4;l!|7U*RO`p=Xj(u2)Q3k-1A|=oYA)>L8!*%plz5?s$`8{4Li^$2Dj59tsNu(w0 zR{$f*I-@tYBxAxfnSJsk2!o0HCBn-B*UXR=<9v5MP`1$#|#gKvr) z_V9-U#k4Ab;LYMzxgbeLcbc`TO3Ss4!Rqy{0wQ{>xD-^5r*#3=LaO+b8E%*r0_I9wPy>l4QZ zQ*Dcv7x(Nsyhe{TC~s7z>B8YKhT(cV8!dxz4FL&Zr*5fR8f9RhF#@)LfYdS5EDaMA zN?;lAxQh)5c^+tD!gBXV?c}5+$y<^LgTb~hUl?-zYJJcpyx4gP7da8 zCj&-tG}J&w%*-^a?(2)Am}+wOmZmna+i+jc%oKj$o6j6Z_bbG@vPZ9+SB*)HC($70 z`*%rEmMxBh1Bb^iMifWAdPTjlJ{^czmZwFrBLg5eg!0Xhn3z-JA0zZ=6D1kCUOZOm zdbTR^^w~W_%$9RNyNtxhx2C_JGe6%9)cotwh7z!SO4p7)3nqeAr>M9Izna=sF)(!;iYvENGsxJZheVQ?a> znt8Jx=)jmr~Kq*8*dEX{K;gaDM0@Jy0$MFX@J+$Nb7Gr1lQe&cE$BRk|2J4@*!s z6?mp_)`$VL)41GYWk5oYTa;Z8AS0{DqK}R!)-p5W9c}H6#1cq{S~6({orSi60Wz>w z1%-qt!@}gy+eB2m+3%5;zxLv?p|`h1eP@XxEc}KhPu&j^s~Sm-7`J@qZY?HuLQnsw zYLb?|QOm~`EwNOsOP7l99nPf)Md8oAJ)O8D78{!+`rzFkJ$?5xI9+%jdsS6m`l%j0 zj<}FBz@)JKCAZw|WLeM<;d+Z~qlz zS@yfOqk~7}a9@3A-YOFYF`x+$hpbLRm;^IoN(TqQx2F#rtj+uuhCx$R)d!Q%!~afn z&F01)KDX*hTIOAT;qb_J_}$0PE$T{v6_BJXZK?uJE{D@%>n6YUrkl}D4yf_K02lyL zJGr|0VG8&dojW&1YT>Wfiw7^-WuS!Z{5zkSR2%(6Nvcq{WvyP=bGy#9QM zQ-T)Ei`#{a3~q^j_+VC86kp%?NV`P;_Bc?v5R(&rm5!%P{XSIBXqdO8u5$PFTXw&j z-Tq4%Ct)o2DSmnRg7%*|on%fWCUdXRapdO8wzo@XXww>ERYV!ThVYa4#x5Df zM?wZ3_wS$7psM+JBrIMqIzb{o|C!VL$=Jx7Rr*FoA(@#Y4sp#PjEUxo0s>bx#1lE~ z?20fGr`%YP*bX=oIgPs9%d26imPgj_<(|o@60awJv0|&xOGZXKNA?!fAqBG&1(6t= z<(vpFQ^sA2h*~jvyggmZgqAkCp37~Gik||o9P9kpuvunz=TGh8DyOgRLL@uY{Hx!@ zkMUX`R!`|IJBIqzI3mVB=uES94aft)jORbTyfirU{atV8gC-rFup_x09EwjQHl{bN zwerlKvTDVcYc3cXClKe}=_9@--q=j-*3E{=uffiVr*^1#x~S>ubnK1cRpUgjC^pA| z@Y}Hy7x&`i7pb+`CXf5-JfS$c%AUndHP@zOFWUNEnHr}N6g;db@)aid7JzbXrK_-5!cYUaddt%4SEo0xdrr9&UFg?(`RY;_YiIT3Bw1gD5BuvRW~m5pW;+FDZ)8+`^n$u@Zeg zT9VxQb}q}(`;G0{`^ibv*DkVH`#y_%!xUd-VDP?X?JxGGwz#&Ws!+(EqyKhD$5aM4 z{nFG)f&5eYH9wkXU%CsEBIYn^VEzNk_`@@^m%>gyYkZ#=PNJ$VN$@ZL`%0eLO9vN@ zGgGYX`;0Oek6NK`h!A4Og4^nis5dr&+E@W(c|??E=$ri(WWVKAUpNtX-fTXUO`o9W zESBg5wIxlO-yg2q28vNpw@G-dD1fIvwcNuLOzH8lZt$tvC<{JiQ5(Ky>IA_|Zoqp)mzd#n<~0$Olu39N`-8v$MSPhc#-M@%dC1oV zJ@m59g)l-uD@jb5zkEG0lvmLBf}XQ8B}0HUBXe3%Rh2Y7U6zVEvNlyE7l-*~^S!#} zX10KU->9a7KI4;GNW6RZS;{YS4Dv~wN}ztTnyuX``02Uu1Vy~(lW3u+=;ll< z8m9juxK4JC9=rfKAbyv+znAHnbN4OV)2D-Y)%rdbq_MB9t9^R)LU1}u;3^rC#qvzO z?b_O94lMI|-{P|G@>%`RiRnjKrxQ<@2_W&DIN<}1iq`7l;@GG9LkWJf^ToqFr;vO_ zMeB6=)*+)^rcDr8b@eIZXm#S4|al~^OAV_?uap}7IF#m4f^codvjgz zptYmJK%Y7%9DC!6mHt%XkLFFL2VBGt`I{jqsm`ZnNUL+pib&M&MuN2B89Pw$t zXJzf{%1qB!MQPZ47P7i66>IJc0}7fkWC@~LSwz7u@XX}u`J!WwF94TfA06F=ed$|B zNgv!zk*?Ui^GQ#AxWQAKKspWF$`4VSem4PV!|kGWCX36*2EC4T74zrCl&g z<`DxsmL2IGw?oU(k?w4ZH{0c(>PGu;Wj?+&l*M6SMFi{LTNeM@RIk; z&c}5tSQ79Omga?rmyENdP?W<9f{I|p9?dMrkWi<-rA2GJ@JiiOuNX+3pJ~c?_E$v= zGUR-~11k(z=d*Y*O4U(aT1JtPTZ0?pzfBm|Js5{VEZEQRk z>u!slC}h^pnh(;@)1#9<6`>ulp{d~9MFCu^|$S?Km z8<(-4-~AIW!iyfC)6r==jKgE7B=zWZ}y>x6hl9M#-iV?9~jUW zKN2}_qU{`GQ^k!TAM5u&j}Vrxr`gOt=dgNRUh_U`!Ah^JA7Svsi&AKhMe%c~;L$(a z-(Z}s8}~!c;C;@;dzF=2G&JwXrWhI@N`DIjgz!S2IUA1M4|&u#ycOKWJ~_~6s{_$^ zobt~1hk+{Oz@!H*kC@NivWXq*`xb^0u%pXr|`#V*(4%8Ze@p{mw<+Fro~SQ~ZUf^)WM?OH$JNvAUx4 zj|9zDQ%O{ykM8pqowe$#+~x=3|MIfV;fH5E+K0H!30HZag1337H;bv*mWz}B)2hDC2st6NLb?#@betg@uuIqr@C5Mr7Z92 z^T-{IaYfVDd}os#?aT7YMC8RQ#kZBSbfyZb1;EbVgXbG$WOj*6n+i2W2gII-PrkKjBq62m2wQf`=09Cqr0`0OV} zre8|L19##V)`sC5MQi_@FuPqg?FsjH0vV0z8QE$E1&P+>%aRkXk2rXZG+G&@Z7{&>Gbu*spbzM3-iU-j2frsOalQo=^d87 zrxl5zhr2tQ$uU;qh@594KJf#M3m5pMt#5pml<}Okmqc;Le`k+&9B)1<#BIbenZ2a( z;_RU;`a62l*^kbSyifFQB{8(Hkc5=8xx-6LzY2oF`qN^H;(%|6(S_e!tE}o~1%p{W zcQBij#ny~n1jC7D;P#|a&cw&`>x9EIa%2Dc;!eh3a04eDOxl{9P9~3B*{=Vbq_!Fj`IT|bwr%; zXGvKzcmAJKQxVcur(Tw-9~C@ORn`1o+P*rO-}OMPAC^wSxR-l<^n#jBu$SYoOR`^MFGU17I~axQLaGMrq-=LUYNrv?C1i&c%;~G)B*l zc%bg}{H+?7C=nQrQ-5Oz`D{Vpf@Z=l9mpnr+&0cRRlyNnTzp^dg^A&c6CdBX zg_`gGDeO(4v0U4?aqV^~b`(k~$yj7evJI7xJSZ~}%2pP8mbUJX7Y(MI@Q0 zC`pl-%prWo&HMiT>-S&ZT3>6gZG0Zrec#u0p2s;H$0<2IS>l8#c)m7c9B+He^4pn( z;N+Fmfp#8IpZ$mENK8`LS(%~r@JN_&h$#187$UK_Xwh~9UE<$o2JHc{b^E!e8>1Lo z@;JkW5+e+0JiNR{DG;|w`%AzWU^Gof1_R^aXfFheN2=q+hF}{{Zhg(&e37jzn9d{V z#w`RIy_D2acmggygLJ+ljoX_B;YV;VH+rg0Ht~?+kT7`D zqYdpUk&U}%xN+B15dRffa~?+J0cFSUXW6$FO?>`r9?CE~Z}Z60QwR_|fht^fDugfR z;Nj?d2toe~gzv{jpZ;9gQ~bKUKadKD8Tf=B!?brG^TrB&H(#WD(RtK@-c~tZFWH)~ zt83J6-h{Ql2kqmd!cYkSx!CZvSOn>bD-YHGH-0`ySlKHlwgXnl3!UmX_Un1b(Gtc zxFC2?@Aj?xx)^a2E7>TwVB*_$oPh_7VvSX8ZQJku6!%1(5&@#a-iA+E8GLi|HZo(K zr91EY2zX247(T!;WZ_9tOS2m5JdH>HttVevr!2x9oq;TT+5b*|#}2v_bqIir70FNu zPb#X?$|Hf7mrCpicf%B;(Z4(cGHo|KjAsT_>)o)MsQidqWCu<#kSyUiDEiyJ@T6ODZui{F7i79&i6`ovhm6(}-O}XZh@|K7@=kSk+NE>hCf#N#MIIy)uZ4 zjxKt}J#Iaq&Hy z(SK`e#zz%H9FD5qG9f?zU5QkYvV0-jZ&Y+Xvlq9ryn!njhHGw!7+IWAn)8AcE9^Ur zk|}vhNg+9AYLFj{+^6E%@#2|L3-!pzYt$lsK)0&`LZN?y?pr&SP5x4*m-g7%suPf$1a1oxC16Qo&m-1GAfS(dgiVZ6f6 zk0D&aQ>>U@pM6qfYGR_gNu}P{c#v5{>wdf1Hp03|&wCLk*U($eyRy+b$R=*M=UG(s5IV_jhm#nmPm<{9!!CH!QBxmWTcO>v=kzuLqNFq?63LBQ8NY{|j&TnJ z8cO@0+jJr4Wo7+1mQ=J{!X|rl;c3YAtd+6-3BZc7qyAfWJ;D#zEc8WSF$BDw9}7Tc zd<+4~9{7%H?J2i1$RAv&FAI%MR8cOOoS1OO8|j@q>{If+G{;To>gLPx0&}LAkjB5 zc>rTq|Ifgya$j3{g^!ibMb^*B%ASObfuG3T=(g1EEebg|VvyYYJ>|xy-w?q{*&ZhNdyN?@@)dtES+S~?Zc=&#uIx|9>KQUAom-)GMX|6Y1sMKoH!SCc~# z1>x_Lz&HsxpYPs5$8LV^86H<43SheMNqhDP$pM)e7&85daweT~c0PbjFJxy1cnF4t zr0VQDI4V88g3=xAX&3f(*u8cZISew-`@xI-KUBq=fd}1@az)xLEWU+9a)(8qD;0)? zQ~rle@@?{~_UOyezj41=j~}N#yJkH4T%S{gZ`6;ZeC{o~BZo?ajJE#1ur1LSKZAnFCB~gl;oN(8N zPCuQjt9SA;@1jZ1*ouH1le~R`_>z)pR6G?ry!;fPjr*C%wg3ZEqkYhr{IevMcK$qR3{j}El9F1##T(EZq1@X$6niR-%bSMw zE>m~6`bLuD+D#r$*uBjyLgde-6KIiT@$!)aJ&S^cRrU6Y?Fr==18#Ap#EUBDyOGMrm$qRyz{La@(R^F+!95XWx!p#p<>a(h$ z>e!Qi;a7*|g>O?+-h35*JT<6o1?yV>P3`zAS+TEXu`i|?f^kUrdhDci)JG#XdPBq8 z`#Vz6m;cD)9Sh$SGrR~Sgf>#Svv-LDppbI%$j}$^kpK1qY+OtVFA06@(T%<0Y*xc4|=7^B!H7|-!KHKOPn0x zOr;&u6DH;Bw%L(Z!^G@Vo52CP1>3YC@ETwFr@gRs zm2Ij{wCRJiTw%QL`rkY}gp~PU zIv=^Ux1i}nQ2zNYtw1O)+1H31B80qx=K)lfGFw z?sACsGP*P$2n2dwX=dvNESqxPAn$MO~Z<*Y_R3?zt5Gkj$?E7UBnCOZG0ptyK z6Gj&GWMp^Ty=k2c2i|A#3!3ZX3j4y|JTAYg?}QYCM}Q(ygF3Pwr}EWOXthh>e}QVYpWIwvnc-(9RRnj?wIW)dV>0* zqB5_UnQ`|k?U^Mju}dF(K2`|Z!t4TZ>4 zWJn@EeDx}}UEh?yPQ@-TDEFmh-!^FVZ%1tU+Qz#UIm>WF`eh&038c6Go!cn2$DZi&d#DVG;(VR=VFhMk)e+D z>C=0mTs@z4-soLFzFpfwPF^o_#r%E>Z%DiOv8)cI=gz4a8~#c=@0v^443U1n-spz3 zjW`tNeT2X6KjLtjlS3=|Bl1U|N*4ceT^eL*ZM_4ky_g?UALT=GJB#LUxxwqP9-C=Z z*fqG8&gVg>JEF>ysN4{jW=Uj`DL-B~pLiqmkTH?}K#h09S0&WqxB>9kTW}~$=NK&t zk@ml^=TI2w<}#?yW%Pim{~%#yKazNBKYCiIs6yw<*JpNy z_|pG?Vza8g+@op0AYC<}ZT7bJkE9ke$UIj2k zF@V;ZIC`9%w02V_n0CJv<@Jcc_X-Mr*DNh}l9N+@`h2AlV1ImqXU+8^4H{Q6D5XT> z|47_M$s{LdhD#?+HpcucAgUpf5SW&+ZFY$IO{67NFdIWXn|udu&Fz8rHsifcTWTNo zB826H^2j{_Lq`Z^70fTJYoZtta(rimmLZZdtU~!kozKwKk|YyYxVT@w} zq$2B85f}duqjjxKIdi_rpYy{E!#5Pv)Z^;)rQbSR9o@oMFHqP_8$A4I!nErEU8-_C zjgXnzgGbZ>s+TWID2A=Xo8Gw5deCybEkdY7$l3mRXJ%yL@82((^0!Nd7HBVMb(gQ2 zyUevH3!OY^`laYxgn(hfWQE)NUF*4@`v1+gtT;VJbLr>LP+1kcY;DMmhK|nKocrB{ zjn$8BtiCsGKF~-bT~{N$>UZVH$8ZX~6~j=WUTB7~NKR3a(s}7;SbsvLM9kq*))#ks zKKBg{kkX%D>RQ#6@t13V|8%-=V7;~CORUs3$CdzXbuB$iFB#!49q8A$)xRdP$Q zNZaeqOoF;9{{ckaxnYxk_J@z&LC9kf2RU|lC1TsII~Sy|Hl>2hX7gr#fV*zz(} zC|gH|%SycNY%&+OMZuRZ&T5)r>BYtCs!~$MVKt^p0y*X7%C!M89hz68PW=^9DxMw@ z(X*Ya>e0Naz5O@;(x_WqdS0zFi|YFN4w1VP=lkS0*L#Lo@2{XCYf*J=?aaVHxsc#b zHa`_SI< zDdK}fcI(W!D{5-Z>P_j{mTC?T`LFmCX2(2T49Zsvq_O9R8r9QZy{a2V*ckib$l3W3 zL#uAq8iVP(-FzHeT(Z&8lf5n_WVcmIRJ>G_l#&FmbG0`&{~6-jxDH1O;@(M!iJ$J} z+s3Zhr~1t^T);LYM7_==J+R@Yl9pD!oZPsmRh%^1@>NbnO6BL%>n@{VZ4RDTt*+ptS}`%-qKDDSKZ)Z5rp!z6cZJh86W zTtP#&)PjXLftAF(JULv2v9VB&He*irAyJoNHFoxf33|R$`&Yp@M^&@V8~6`I-wqogmO|wsN6VR&%4oIn<9WyrDeIRJ;8$Mp81O>REI1&wCvF&B-OV4t6mgJ(`>>UvvvJnsyA<&NHf`;n6F-4EoB% zNMJM7)xI|eghn0q(tq|por+QQd>-s?Xt-SnI!@v7{W0vOx>J6sVm7c_K@4KqS?Mgv0Q+D!h^2ADize(us z(S*)=4-Bzaz{um}@4kH27>SEg%qaK@ZCD#SiON$dT_dv<1UPjqEgX64vY8LZXBHPN z1#JNZKssYgOiGdq^zrebJ9seN$A@CuwrxaHW&l_T(8gXrhF}944R=Pa>gr~O9M>F; zS^twfZd(GGm^}Te?eE^bV;C|rHZ~==%wUdD9TrciJ?x|qaC+gHOu*qx%-E)?9UgXt z5KuOvyl#tA?Ck6#Fw5#HDuHZuCb=VZM`P4%Z3`4Qf+j20U5$;5j7NTe0zin`6=(vD@@>SQRLDh&*{coMbY z_#wCGglP>tSIcz>My1ytR_out^lx_OyxXA#k*dL|sccL>hFMh(IJ2CBKNydx+YDW9 zW0{3>0d9Y!FsnPXsvlg{XJDSRgBWCd{rXtJ=Ub|Hdi%I9zZf64@Mk)!clhw(i3Q9m z6^>RmG>m@?At7u!b`B1+h4F5g7;vFRkqJ@5(_fnjtGF>UQ1_v}9!}Zbb0W$?FVh?b zh3xjk4lUwC)i!crK1N%f=a-VXjz?bqP_$i8h_@DYixul-jnSvmYieXBzPwgFsur^e9F_OC)?@^AiVD_rOm?-k!P4oSh-{ddo>sndCnqo{h@C{xk0E-J2GZF5LEL0&lu=2BA% z{7QV{;#iheR!VfnW~>xr&hU_Y9zVX-wpcP%-u8r9Di6f5L_!$j<*LhRQNc&ngDZ^u z*X|WqbjN|44+WFE2Slw?LV2zviA|NNdU$xu{Q9Nz$GFd$=Z&hqe(atc4AgBJEC!SQ z1Decl+(u%?iZP@oa_dgLitPR}r;DDxl9#akyyq+I_O@E52dWQpSGfrDjmDSgOZT}rL%2nq) z+h;qnDvIwH-;P~<0;8^c?Zs5$s-?5>sTD5%=GwvEo|?0-_tjGm{a$wL^{Tyd9x7vI z78Yu*uH}1<>G)@7XXCE<8AdjkI5X1H#z#aPfJtN>_}6AMxaBZC{ZV0IVSK~m(W3$} zR}GEO*49?PAEAR8S;l^k6A}|Sd3Z3``=aCe>Y@;IEB7K#dFqtLu3fuoTCWBMV=5ZS z$KPLQxo|wBl?8fA70VsjbTl+^;1{P@_LalNw?grSFc%OD>K*)3zj7s00~=eO$@$lP zS6KVwM~+B9vn~x}y3y8Tc5YLQOyNBJt8y!2f!%^be)&;sB(ko@PqyJhS!hK?ApwCI z8NVd10l5^p^Qx;u=}ap|^s#*?x%X1gLl$_g81XwmRzuGD|Ngz|NOdB!)AtfaxFgWq_SDjmiX&D$& zVZG8~W6!}lF+N6Z!=+;d>SWp2D9KPk;KW_@_xDdrPghk{4FZ>xxVw-kleNV75U`B$ ztVdKXMx3mB_O3M=+E5~gsLEC*OP0rTo7jZN`5-va!RI>do8H-W=cX@G;(UCA0|Uoc zS>qe#30(rH8F6uPk}ON7F_zi~)70{)K37#$Wsf-kM3D`P69|Fqg>Px8IDz|KzP!g9 zpsa55b%(z8U(awWmWR}5Qo^9`)_Zq-F8Qn})Yov{ zGz<*l_VMbZz!=B7Kv2aIUH2Uj9(-3_jl})=<|aP>Vd0sj0b2ZO5qH=8T$`f#+MgxIiTtjU2Gu)oMLITqk0Fb73Dn$Hywn;TTJYMG zpfyFYV+a4}dV{5Fe5{n`2cr`s#kw5gfk(K2AIDGU?JcSjV&Delvn1(F?E=XEb985 zg2k&t#HVw|;Nl_H#CiI3S+e|yhT`e@;L@_Pe2Df%^9~+025nWl-1+rk@acH-?ZQ5O zRA_iElH1F08LySF9O#_pB;KX@G$3G)Zrne_7q_-^(-WZaMJ@d3g7r?~d(Flh2%fC@ zVb7K2v0wdFniFlxV)(&5Ch~d@;vsJQv))4BOtNN5;;yVLPIch|<{QPP=B!1CpWjwx zA(9Scj^W@f1F)!IOHPic5I_2sBtsx+vbhslT3Qh&jD4U*nfZ{Mdh}H-WXp_H;8567 zi;J~E_f&;u9|-s-!M=5Y8IW0r#*}GCntJi#S103BkwQ?{T3zW|Kh;AZE@&*mAQNY) zMYzw|Fb}4s0dwwQ!bjVZ0}i{)DTjoGmH3t28I&VjH%Q)&;Bye~5$}TcJQ1z{^byQ9 z0?C5lcLvH*Qc@+WNc*ROAB?A5*U)eg+-Jvr5BdRXQQfSiFL#?ph;!R*K{zx_xAMJI zX!p}0KPxpKm#j1Gpl9hqTy8P-=8dW+fa7R;YEQ9EI>g9gL6W|5DOpuSL?kfb!eIw# z!cQNKagKZN;4f&>T?W1(j;BBkRL|yH<@r(pn*zjVyZ}{LliN}u=|Nx{;+TB+@FCB3 zLYu%g!(q|Uyd}L^aGqoE*j(J)?HDMoGwK9blLu8dbq$Tt2H`$6AS=KcHd1$Yckx8Q z=isQQn}-7a3uoMhV?E~}I4h6UL56b~6Wj7l+c?4^*i6ykyZnP`Jq5lGdrK9xZw)~4 zP_xWS|iaw&r&Bb+cX;SDBBzkeSS5z&JE31N#8 zwUGmBDiyr=7eJ5iYHG~Dk6j*)4^Y$5vG6N{K2EPqm+l=qJI&j-Uj_yS;tF{@t70K- zI%Zd~616aibh?NU2?JOEuYjZAXtcc~emSh$q7z0r9(tS;pI*gREi|6VKHkyZGF$p} znRvF=e4FNsz8j1(1POHe_kX&zGSZgJPJ##mb`<`@BEqWrn_uPZVbGC8X;^M4a>no!cz-|_6ux=fBDw!|M2%{6JQ`Qsl8ndAk-W%`GBB_ zABSRe2Evxh9UUD=r?^EvNwisqde3p#Ug!ei?_x|zI4rPEBWPF_cb%6+G|i^QXU%j~ z%{3jPyRI-{`S&KzZ=OUJoJ2&_f{%N@=(w>#OfM)hG7?eL(d4#~nc~vE4!C1eNJJAB z)f#)w3}`VeGZVR!3^)wG#0oY%B*j1kRpzDFPlW5#$X~qJftdyw(9$r23h(IW!fa?7 zdK5^|<03JMCF2xe+T z+a~`Eam#ysHyrXXJK?FI<#91ew8Neclw#Ckg(N*)SC>cblOJvd!U~CuOz-K@2HNY2 zICV1u5_HY|LU{7&L(xu`92^|dva>Y-+5u4@T$)f_E$z=Jrh({B1)vp4j{HqGNJ6K+ z<{?3L_VWlXr^;8d1kBliHn0tE3i>AIhnipE#&mfH&Z9>!VDUE_KNnfWL*7hPU0r>o z$!#t7f1F^+OeyqS`}BK-)Bg8`oLR@frT@CeaB_!@WqGBZU*N;J&CQ{h4 zeDvAZuV3Xzq^AJ^0gwJ+U?D|dl+7Wk3!eJtot;Y|U>L8JYf@)%YOJtgH4`c*Uw@Wv zquh66@Iwdzr1~JJO9-_>{x!<1B6_Gpt4nor0~y{CjcSbMCG7dVWl7?A|=`LTXarb!hiyA{rku<-Cys15iqvBFW@Gx@k_F}yP}xWf|P z5|5g!t2REFa57}Sen4?|VuXhH{9CBx#-@FtDdzn9mrcH1VT>bTXeBIb?&uT0u<=h< zV&j)KK5yQ(>CyflKe+b4FQvVWolLVj;3-}uAs7%%1jl3&S8#X7HrGMMc#UIYaT`CN ze|hvjU#NGsG~in&Nz&)k@Cy2kY!vZ3Fc+IXbK`RfdVATPuWjcyz99bh#bS-=-uI&? Uc^I|75nq$eUy{y}y!PP#0GjKMbN~PV literal 0 HcmV?d00001 diff --git a/tensorwrapper_cxx_api/dsl__forward_8hpp_source.html b/tensorwrapper_cxx_api/dsl__forward_8hpp_source.html index 587d6a5e..91aec7ca 100644 --- a/tensorwrapper_cxx_api/dsl__forward_8hpp_source.html +++ b/tensorwrapper_cxx_api/dsl__forward_8hpp_source.html @@ -22,7 +22,7 @@

    @@ -93,10 +93,9 @@
    21 template<typename ObjectType, typename LabelType>
    22 class Labeled;
    23 
    -
    24 template<typename ObjectType, typename LabelType>
    -
    25 class PairwiseParser;
    -
    26 
    -
    27 } // namespace tensorwrapper::dsl
    +
    24 class PairwiseParser;
    +
    25 
    +
    26 } // namespace tensorwrapper::dsl

    diff --git a/tensorwrapper_cxx_api/dummy__indices_8hpp_source.html b/tensorwrapper_cxx_api/dummy__indices_8hpp_source.html index 150559dd..771a9f11 100644 --- a/tensorwrapper_cxx_api/dummy__indices_8hpp_source.html +++ b/tensorwrapper_cxx_api/dummy__indices_8hpp_source.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    @@ -87,120 +87,178 @@
    15  */
    16 
    17 #pragma once
    -
    18 #include <string>
    -
    19 #include <utilities/containers/indexable_container_base.hpp>
    -
    20 #include <utilities/strings/string_tools.hpp>
    -
    21 #include <vector>
    -
    22 
    -
    23 namespace tensorwrapper::dsl {
    -
    24 
    -
    53 template<typename StringType>
    -
    54 class DummyIndices
    -
    55  : public utilities::IndexableContainerBase<DummyIndices<StringType>> {
    -
    56 private:
    -
    58  using my_type = DummyIndices<StringType>;
    -
    59 
    -
    61  using base_type = utilities::IndexableContainerBase<my_type>;
    -
    62 
    -
    63 public:
    -
    65  using value_type = StringType;
    -
    66 
    -
    68  using reference = value_type&;
    -
    69 
    -
    71  using const_reference = const value_type&;
    -
    72 
    -
    74  using split_string_type = std::vector<value_type>;
    -
    75 
    -
    77  using size_type = typename split_string_type::size_type;
    -
    78 
    -
    80  using offset_vector = std::vector<size_type>;
    -
    81 
    -
    89  DummyIndices() = default;
    -
    90 
    -
    108  explicit DummyIndices(const_reference dummy_indices) :
    -
    109  DummyIndices(
    -
    110  utilities::strings::split_string(remove_spaces_(dummy_indices), ",")) {}
    -
    111 
    -
    123  size_type unique_index_size() const {
    -
    124  std::set<value_type> temp(this->begin(), this->end());
    -
    125  return temp.size();
    -
    126  }
    -
    127 
    -
    138  bool has_repeated_indices() const {
    -
    139  return unique_index_size() != this->size();
    -
    140  }
    -
    141 
    -
    166  offset_vector permutation(const DummyIndices& other) const {
    -
    167  if(this->size() != other.size())
    -
    168  throw std::runtime_error("Must have same number of dummy indices.");
    -
    169 
    -
    170  if(has_repeated_indices() || other.has_repeated_indices())
    -
    171  throw std::runtime_error("Must contain unique dummy indices.");
    -
    172 
    -
    173  offset_vector rv;
    -
    174  for(const auto& index : *this) {
    -
    175  auto indices = other.find(index);
    -
    176  if(indices.empty())
    -
    177  throw std::runtime_error("Dummy index not found in other");
    -
    178  rv.push_back(indices[0]);
    -
    179  }
    -
    180  return rv;
    -
    181  }
    -
    182 
    -
    198  offset_vector find(const_reference index_to_find) const {
    -
    199  offset_vector rv;
    -
    200  for(size_type i = 0; i < this->size(); ++i)
    -
    201  if(m_dummy_indices_[i] == index_to_find) rv.push_back(i);
    -
    202  return rv;
    -
    203  }
    -
    204 
    -
    205 protected:
    -
    207  explicit DummyIndices(split_string_type split_dummy_indices) :
    -
    208  m_dummy_indices_(std::move(split_dummy_indices)) {
    -
    209  for(const auto& x : m_dummy_indices_)
    -
    210  if(x.empty())
    -
    211  throw std::runtime_error(
    -
    212  "Dummy index is not allowed to be empty");
    -
    213  }
    -
    214 
    -
    216  friend base_type;
    -
    217 
    -
    219  reference at_(size_type i) { return m_dummy_indices_[i]; }
    -
    220 
    -
    222  const_reference at_(size_type i) const { return m_dummy_indices_[i]; }
    -
    223 
    -
    225  size_type size_() const noexcept { return m_dummy_indices_.size(); }
    -
    226 
    -
    227 private:
    -
    229  static auto remove_spaces_(const_reference input) {
    -
    230  value_type rv;
    -
    231  for(const auto c : input)
    -
    232  if(c != ' ') rv.push_back(c);
    -
    233  return rv;
    -
    234  }
    -
    235 
    -
    237  split_string_type m_dummy_indices_;
    -
    238 };
    -
    239 
    -
    240 } // namespace tensorwrapper::dsl
    -
    tensorwrapper::dsl::DummyIndices
    Class to help deal with string-based dummy indices.
    Definition: dummy_indices.hpp:55
    -
    tensorwrapper::dsl::DummyIndices::permutation
    offset_vector permutation(const DummyIndices &other) const
    Computes the permutation needed to convert *this into other.
    Definition: dummy_indices.hpp:166
    -
    tensorwrapper::dsl::DummyIndices::has_repeated_indices
    bool has_repeated_indices() const
    Does *this have repeated indices?
    Definition: dummy_indices.hpp:138
    -
    tensorwrapper::dsl::DummyIndices::DummyIndices
    DummyIndices(const_reference dummy_indices)
    Constructs a DummyIndices object by parsing a string.
    Definition: dummy_indices.hpp:108
    -
    tensorwrapper::dsl::DummyIndices::at_
    reference at_(size_type i)
    Implements mutable element retrieval by forwarding to m_dummy indices_.
    Definition: dummy_indices.hpp:219
    -
    tensorwrapper::dsl::DummyIndices::base_type
    friend base_type
    Lets the base class get at these implementations.
    Definition: dummy_indices.hpp:216
    -
    tensorwrapper::dsl::DummyIndices::split_string_type
    std::vector< value_type > split_string_type
    Type of the string representation after splitting on commas.
    Definition: dummy_indices.hpp:74
    -
    tensorwrapper::dsl::DummyIndices::size_type
    typename split_string_type::size_type size_type
    Type used for offsets.
    Definition: dummy_indices.hpp:77
    -
    tensorwrapper::dsl::DummyIndices::at_
    const_reference at_(size_type i) const
    Implements read-only element retrieval by forwarding to m_dummy indices_.
    Definition: dummy_indices.hpp:222
    -
    tensorwrapper::dsl::DummyIndices::unique_index_size
    size_type unique_index_size() const
    Determines the number of unique indices in *this.
    Definition: dummy_indices.hpp:123
    -
    tensorwrapper::dsl::DummyIndices::offset_vector
    std::vector< size_type > offset_vector
    Type used for returning ordered sets of size_type objects.
    Definition: dummy_indices.hpp:80
    -
    tensorwrapper::dsl::DummyIndices::value_type
    StringType value_type
    Type used to hold the string representation of the dummy indices.
    Definition: dummy_indices.hpp:65
    +
    18 #include <set>
    +
    19 #include <string>
    +
    20 #include <utilities/containers/indexable_container_base.hpp>
    +
    21 #include <utilities/strings/string_tools.hpp>
    +
    22 #include <vector>
    +
    23 
    +
    24 namespace tensorwrapper::dsl {
    +
    25 
    +
    54 template<typename StringType>
    +
    55 class DummyIndices
    +
    56  : public utilities::IndexableContainerBase<DummyIndices<StringType>> {
    +
    57 private:
    +
    59  using my_type = DummyIndices<StringType>;
    +
    60 
    +
    62  using base_type = utilities::IndexableContainerBase<my_type>;
    +
    63 
    +
    64 public:
    +
    66  using value_type = StringType;
    +
    67 
    +
    69  using reference = value_type&;
    +
    70 
    +
    72  using const_reference = const value_type&;
    +
    73 
    +
    75  using split_string_type = std::vector<value_type>;
    +
    76 
    +
    78  using size_type = typename split_string_type::size_type;
    +
    79 
    +
    81  using offset_vector = std::vector<size_type>;
    +
    82 
    +
    90  DummyIndices() = default;
    +
    91 
    +
    109  explicit DummyIndices(const_reference dummy_indices) :
    +
    110  DummyIndices(
    +
    111  utilities::strings::split_string(remove_spaces_(dummy_indices), ",")) {}
    +
    112 
    +
    124  size_type unique_index_size() const {
    +
    125  std::set<value_type> temp(this->begin(), this->end());
    +
    126  return temp.size();
    +
    127  }
    +
    128 
    +
    139  bool has_repeated_indices() const {
    +
    140  return unique_index_size() != this->size();
    +
    141  }
    +
    142 
    +
    155  bool is_permutation(const DummyIndices& other) const noexcept {
    +
    156  // Must be same size
    +
    157  if(this->size() != other.size()) return false;
    +
    158 
    +
    159  // Each index in *this must show up the same number of times in other
    +
    160  for(const auto& index : *this) {
    +
    161  if(count(index) != other.count(index)) return false;
    +
    162  }
    +
    163  return true;
    +
    164  }
    +
    165 
    +
    190  offset_vector permutation(const DummyIndices& other) const {
    +
    191  if(this->size() != other.size())
    +
    192  throw std::runtime_error("Must have same number of dummy indices.");
    +
    193 
    +
    194  if(has_repeated_indices() || other.has_repeated_indices())
    +
    195  throw std::runtime_error("Must contain unique dummy indices.");
    +
    196 
    +
    197  offset_vector rv;
    +
    198  for(const auto& index : *this) {
    +
    199  auto indices = other.find(index);
    +
    200  if(indices.empty())
    +
    201  throw std::runtime_error("Dummy index not found in other");
    +
    202  rv.push_back(indices[0]);
    +
    203  }
    +
    204  return rv;
    +
    205  }
    +
    206 
    +
    222  offset_vector find(const_reference index_to_find) const {
    +
    223  offset_vector rv;
    +
    224  for(size_type i = 0; i < this->size(); ++i)
    +
    225  if(m_dummy_indices_[i] == index_to_find) rv.push_back(i);
    +
    226  return rv;
    +
    227  }
    +
    228 
    +
    237  size_type count(const_reference index_to_find) const noexcept {
    +
    238  size_type rv = 0;
    +
    239  for(const auto& x : *this)
    +
    240  if(x == index_to_find) ++rv;
    +
    241  return rv;
    +
    242  }
    +
    243 
    +
    256  bool operator==(const DummyIndices& rhs) const noexcept {
    +
    257  return m_dummy_indices_ == rhs.m_dummy_indices_;
    +
    258  }
    +
    259 
    +
    278  bool operator==(const_reference s) const {
    +
    279  return operator==(DummyIndices(s));
    +
    280  }
    +
    281 
    +
    294  bool operator!=(const DummyIndices& rhs) const noexcept {
    +
    295  return !((*this) == rhs);
    +
    296  }
    +
    297 
    +
    316  bool operator!=(const_reference s) const { return !((*this) == s); }
    +
    317 
    +
    337  DummyIndices concatenation(const DummyIndices& other) const {
    +
    338  DummyIndices rv(*this);
    +
    339  for(const auto& x : other) rv.m_dummy_indices_.push_back(x);
    +
    340  return rv;
    +
    341  }
    +
    342 
    +
    358  DummyIndices intersection(const DummyIndices& other) const {
    +
    359  DummyIndices rv;
    +
    360  std::set<value_type> seen;
    +
    361  for(const auto& x : *this) {
    +
    362  if(seen.count(x)) continue;
    +
    363  seen.insert(x);
    +
    364  if(other.count(x)) rv.m_dummy_indices_.push_back(x);
    +
    365  }
    +
    366  return rv;
    +
    367  }
    +
    368 
    +
    369 protected:
    +
    371  explicit DummyIndices(split_string_type split_dummy_indices) :
    +
    372  m_dummy_indices_(std::move(split_dummy_indices)) {
    +
    373  for(const auto& x : m_dummy_indices_)
    +
    374  if(x.empty())
    +
    375  throw std::runtime_error(
    +
    376  "Dummy index is not allowed to be empty");
    +
    377  }
    +
    378 
    +
    380  friend base_type;
    +
    381 
    +
    383  reference at_(size_type i) { return m_dummy_indices_[i]; }
    +
    384 
    +
    386  const_reference at_(size_type i) const { return m_dummy_indices_[i]; }
    +
    387 
    +
    389  size_type size_() const noexcept { return m_dummy_indices_.size(); }
    +
    390 
    +
    391 private:
    +
    393  static auto remove_spaces_(const_reference input) {
    +
    394  value_type rv;
    +
    395  for(const auto c : input)
    +
    396  if(c != ' ') rv.push_back(c);
    +
    397  return rv;
    +
    398  }
    +
    399 
    +
    401  split_string_type m_dummy_indices_;
    +
    402 };
    +
    403 
    +
    404 } // namespace tensorwrapper::dsl
    +
    tensorwrapper::dsl::DummyIndices
    Class to help deal with string-based dummy indices.
    Definition: dummy_indices.hpp:56
    +
    tensorwrapper::dsl::DummyIndices::permutation
    offset_vector permutation(const DummyIndices &other) const
    Computes the permutation needed to convert *this into other.
    Definition: dummy_indices.hpp:190
    +
    tensorwrapper::dsl::DummyIndices::has_repeated_indices
    bool has_repeated_indices() const
    Does *this have repeated indices?
    Definition: dummy_indices.hpp:139
    +
    tensorwrapper::dsl::DummyIndices::DummyIndices
    DummyIndices(const_reference dummy_indices)
    Constructs a DummyIndices object by parsing a string.
    Definition: dummy_indices.hpp:109
    +
    tensorwrapper::dsl::DummyIndices::at_
    reference at_(size_type i)
    Implements mutable element retrieval by forwarding to m_dummy indices_.
    Definition: dummy_indices.hpp:383
    +
    tensorwrapper::dsl::DummyIndices::operator==
    bool operator==(const_reference s) const
    Determines if *this is value equal to s.
    Definition: dummy_indices.hpp:278
    +
    tensorwrapper::dsl::DummyIndices::base_type
    friend base_type
    Lets the base class get at these implementations.
    Definition: dummy_indices.hpp:380
    +
    tensorwrapper::dsl::DummyIndices::split_string_type
    std::vector< value_type > split_string_type
    Type of the string representation after splitting on commas.
    Definition: dummy_indices.hpp:75
    +
    tensorwrapper::dsl::DummyIndices::intersection
    DummyIndices intersection(const DummyIndices &other) const
    Returns the unique indices of *this which appear in other.
    Definition: dummy_indices.hpp:358
    +
    tensorwrapper::dsl::DummyIndices::size_type
    typename split_string_type::size_type size_type
    Type used for offsets.
    Definition: dummy_indices.hpp:78
    +
    tensorwrapper::dsl::DummyIndices::at_
    const_reference at_(size_type i) const
    Implements read-only element retrieval by forwarding to m_dummy indices_.
    Definition: dummy_indices.hpp:386
    +
    tensorwrapper::dsl::DummyIndices::unique_index_size
    size_type unique_index_size() const
    Determines the number of unique indices in *this.
    Definition: dummy_indices.hpp:124
    +
    tensorwrapper::dsl::DummyIndices::offset_vector
    std::vector< size_type > offset_vector
    Type used for returning ordered sets of size_type objects.
    Definition: dummy_indices.hpp:81
    +
    tensorwrapper::dsl::DummyIndices::concatenation
    DummyIndices concatenation(const DummyIndices &other) const
    Computes the DummyIndices object formed by concatenating *this with other.
    Definition: dummy_indices.hpp:337
    +
    tensorwrapper::dsl::DummyIndices::operator!=
    bool operator!=(const_reference s) const
    Determines if *this is different than s.
    Definition: dummy_indices.hpp:316
    +
    tensorwrapper::dsl::DummyIndices::value_type
    StringType value_type
    Type used to hold the string representation of the dummy indices.
    Definition: dummy_indices.hpp:66
    +
    tensorwrapper::dsl::DummyIndices::operator!=
    bool operator!=(const DummyIndices &rhs) const noexcept
    Determines if *this is different from rhs.
    Definition: dummy_indices.hpp:294
    +
    tensorwrapper::dsl::DummyIndices::operator==
    bool operator==(const DummyIndices &rhs) const noexcept
    Determines if *this is value equal to rhs.
    Definition: dummy_indices.hpp:256
    tensorwrapper::dsl::DummyIndices::DummyIndices
    DummyIndices()=default
    Creates an object with no dummy indices.
    -
    tensorwrapper::dsl::DummyIndices::find
    offset_vector find(const_reference index_to_find) const
    Finds the offset of index_to_find in *this.
    Definition: dummy_indices.hpp:198
    -
    tensorwrapper::dsl::DummyIndices::const_reference
    const value_type & const_reference
    Type of a read-only reference to a value_type object.
    Definition: dummy_indices.hpp:71
    -
    tensorwrapper::dsl::DummyIndices::size_
    size_type size_() const noexcept
    Implements size by calling m_dummy indices_.size()
    Definition: dummy_indices.hpp:225
    -
    tensorwrapper::dsl::DummyIndices::DummyIndices
    DummyIndices(split_string_type split_dummy_indices)
    Main ctor for setting the value, throws if any index is empty.
    Definition: dummy_indices.hpp:207
    -
    tensorwrapper::dsl::DummyIndices::reference
    value_type & reference
    Type of a mutable reference to a value_type.
    Definition: dummy_indices.hpp:68
    +
    tensorwrapper::dsl::DummyIndices::find
    offset_vector find(const_reference index_to_find) const
    Finds the offset of index_to_find in *this.
    Definition: dummy_indices.hpp:222
    +
    tensorwrapper::dsl::DummyIndices::is_permutation
    bool is_permutation(const DummyIndices &other) const noexcept
    Determines if *this is a permutation of other.
    Definition: dummy_indices.hpp:155
    +
    tensorwrapper::dsl::DummyIndices::const_reference
    const value_type & const_reference
    Type of a read-only reference to a value_type object.
    Definition: dummy_indices.hpp:72
    +
    tensorwrapper::dsl::DummyIndices::size_
    size_type size_() const noexcept
    Implements size by calling m_dummy indices_.size()
    Definition: dummy_indices.hpp:389
    +
    tensorwrapper::dsl::DummyIndices::DummyIndices
    DummyIndices(split_string_type split_dummy_indices)
    Main ctor for setting the value, throws if any index is empty.
    Definition: dummy_indices.hpp:371
    +
    tensorwrapper::dsl::DummyIndices::count
    size_type count(const_reference index_to_find) const noexcept
    Determines how many times index_to_find occurs in *this.
    Definition: dummy_indices.hpp:237
    +
    tensorwrapper::dsl::DummyIndices::reference
    value_type & reference
    Type of a mutable reference to a value_type.
    Definition: dummy_indices.hpp:69
    diff --git a/tensorwrapper_cxx_api/files.html b/tensorwrapper_cxx_api/files.html index 7c7c5a20..d5a834f8 100644 --- a/tensorwrapper_cxx_api/files.html +++ b/tensorwrapper_cxx_api/files.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    @@ -88,9 +88,11 @@  replicated.hpp  ▼ detail_  detail_.hpp - polymorphic_base.hpp - unique_ptr_utilities.hpp - view_traits.hpp + dsl_base.hpp + dsl_base.ipp + polymorphic_base.hpp + unique_ptr_utilities.hpp + view_traits.hpp  ▼ dsl  dsl.hpp  dsl_forward.hpp diff --git a/tensorwrapper_cxx_api/functions.html b/tensorwrapper_cxx_api/functions.html index 991c7511..663409fb 100644 --- a/tensorwrapper_cxx_api/functions.html +++ b/tensorwrapper_cxx_api/functions.html @@ -22,7 +22,7 @@
    tensorwrapper -  0.0.37 +  0.0.38
    @@ -65,15 +65,14 @@
    Here is a list of all documented class members with links to the class documentation for each member:

    - a -

      -
    • addition() -: tensorwrapper::buffer::BufferBase -
    • addition_assignment() -: tensorwrapper::buffer::BufferBase +: tensorwrapper::detail_::DSLBase< DerivedType, StringType >
    • addition_assignment_() -: tensorwrapper::buffer::BufferBase -, tensorwrapper::buffer::Eigen< FloatType, Rank > +: tensorwrapper::detail_::DSLBase< DerivedType, StringType > +, tensorwrapper::shape::Smooth +, tensorwrapper::sparsity::Pattern +, tensorwrapper::symmetry::Group
    • allocate() : tensorwrapper::allocator::AllocatorBase @@ -106,6 +105,8 @@

      - a -

        , tensorwrapper::layout::Physical , tensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType > , tensorwrapper::shape::Smooth +, tensorwrapper::sparsity::Pattern +, tensorwrapper::symmetry::Group , tensorwrapper::symmetry::Permutation
      • are_equal_impl_() @@ -119,7 +120,7 @@

        - a -

          , tensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType >
        • as_smooth() -: tensorwrapper::shape::ShapeBase +: tensorwrapper::shape::ShapeBase
        • as_smooth_() : tensorwrapper::shape::ShapeBase diff --git a/tensorwrapper_cxx_api/functions_b.html b/tensorwrapper_cxx_api/functions_b.html index 8277d590..4657a1e4 100644 --- a/tensorwrapper_cxx_api/functions_b.html +++ b/tensorwrapper_cxx_api/functions_b.html @@ -22,7 +22,7 @@
          tensorwrapper -  0.0.37 +  0.0.38
          @@ -76,6 +76,9 @@

          - b -

            : tensorwrapper::detail_::PolymorphicBase< BaseType > , tensorwrapper::symmetry::Operation +
          • base_rvalue +: tensorwrapper::detail_::PolymorphicBase< BaseType > +
          • base_type : tensorwrapper::detail_::PolymorphicBase< BaseType > , tensorwrapper::dsl::DummyIndices< StringType > diff --git a/tensorwrapper_cxx_api/functions_c.html b/tensorwrapper_cxx_api/functions_c.html index 8b89d120..cd75da4f 100644 --- a/tensorwrapper_cxx_api/functions_c.html +++ b/tensorwrapper_cxx_api/functions_c.html @@ -22,7 +22,7 @@
            tensorwrapper -  0.0.37 +  0.0.38
            @@ -83,11 +83,16 @@

            - c -

              , tensorwrapper::layout::Physical , tensorwrapper::shape::detail_::SmoothAlias< SmoothType > , tensorwrapper::shape::Smooth +, tensorwrapper::sparsity::Pattern +, tensorwrapper::symmetry::Group , tensorwrapper::symmetry::Permutation
            • clone_as() : tensorwrapper::detail_::PolymorphicBase< BaseType >
              • +
            • concatenation() +: tensorwrapper::dsl::DummyIndices< StringType > +
            • const_allocator_reference : tensorwrapper::detail_::TensorInput
              • @@ -126,13 +131,10 @@

              - c -

                : tensorwrapper::allocator::Eigen< FloatType, Rank >
              • const_label_reference -: tensorwrapper::Tensor -
                • -
              • const_labeled_buffer_reference -: tensorwrapper::buffer::BufferBase +: tensorwrapper::dsl::Labeled< ObjectType, StringType >
                • -
              • const_labeled_tensor_type -: tensorwrapper::Tensor +
              • const_labeled_reference +: tensorwrapper::detail_::DSLBase< DerivedType, StringType >
              • const_layout_reference : tensorwrapper::buffer::BufferBase @@ -142,6 +144,9 @@

                - c -

                  : tensorwrapper::detail_::TensorInput , tensorwrapper::Tensor +
                • const_object_reference +: tensorwrapper::dsl::Labeled< ObjectType, StringType > +
                • const_physical_reference : tensorwrapper::detail_::TensorInput
                  • @@ -182,7 +187,8 @@

                  - c -

                    , tensorwrapper::detail_::TensorFactory
                  • count() -: tensorwrapper::symmetry::Group +: tensorwrapper::dsl::DummyIndices< StringType > +, tensorwrapper::symmetry::Group
                  • cycle_initializer_list : tensorwrapper::symmetry::Permutation diff --git a/tensorwrapper_cxx_api/functions_d.html b/tensorwrapper_cxx_api/functions_d.html index e197a6e5..6f3a4ba0 100644 --- a/tensorwrapper_cxx_api/functions_d.html +++ b/tensorwrapper_cxx_api/functions_d.html @@ -22,7 +22,7 @@
                    tensorwrapper -  0.0.37 +  0.0.38
                    @@ -87,7 +87,25 @@

                    - d -

                      : tensorwrapper::detail_::TensorFactory
                    • dispatch() -: tensorwrapper::dsl::PairwiseParser< ObjectType, LabelType > +: tensorwrapper::dsl::PairwiseParser +
                      • +
                    • dsl_base_type +: tensorwrapper::shape::ShapeBase +
                      • +
                    • dsl_const_reference +: tensorwrapper::detail_::DSLBase< DerivedType, StringType > +
                      • +
                    • dsl_const_value_type +: tensorwrapper::detail_::DSLBase< DerivedType, StringType > +
                      • +
                    • dsl_pointer +: tensorwrapper::detail_::DSLBase< DerivedType, StringType > +
                      • +
                    • dsl_reference +: tensorwrapper::detail_::DSLBase< DerivedType, StringType > +
                      • +
                    • dsl_value_type +: tensorwrapper::detail_::DSLBase< DerivedType, StringType >
                    • DummyIndices() : tensorwrapper::dsl::DummyIndices< StringType > diff --git a/tensorwrapper_cxx_api/functions_e.html b/tensorwrapper_cxx_api/functions_e.html index 8dc168f8..835683bc 100644 --- a/tensorwrapper_cxx_api/functions_e.html +++ b/tensorwrapper_cxx_api/functions_e.html @@ -22,7 +22,7 @@
                      tensorwrapper -  0.0.37 +  0.0.38
                      diff --git a/tensorwrapper_cxx_api/functions_f.html b/tensorwrapper_cxx_api/functions_f.html index d997477b..3ee8fb31 100644 --- a/tensorwrapper_cxx_api/functions_f.html +++ b/tensorwrapper_cxx_api/functions_f.html @@ -22,7 +22,7 @@
                      tensorwrapper -  0.0.37 +  0.0.38
                      diff --git a/tensorwrapper_cxx_api/functions_func.html b/tensorwrapper_cxx_api/functions_func.html index 7a6d7160..7a8f05ed 100644 --- a/tensorwrapper_cxx_api/functions_func.html +++ b/tensorwrapper_cxx_api/functions_func.html @@ -22,7 +22,7 @@
                      tensorwrapper -  0.0.37 +  0.0.38
                      @@ -65,15 +65,14 @@  

                      - a -

                        -
                      • addition() -: tensorwrapper::buffer::BufferBase -
                      • addition_assignment() -: tensorwrapper::buffer::BufferBase +: tensorwrapper::detail_::DSLBase< DerivedType, StringType >
                      • addition_assignment_() -: tensorwrapper::buffer::BufferBase -, tensorwrapper::buffer::Eigen< FloatType, Rank > +: tensorwrapper::detail_::DSLBase< DerivedType, StringType > +, tensorwrapper::shape::Smooth +, tensorwrapper::sparsity::Pattern +, tensorwrapper::symmetry::Group
                      • allocate() : tensorwrapper::allocator::AllocatorBase @@ -100,6 +99,8 @@

                        - a -

                          , tensorwrapper::layout::Physical , tensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType > , tensorwrapper::shape::Smooth +, tensorwrapper::sparsity::Pattern +, tensorwrapper::symmetry::Group , tensorwrapper::symmetry::Permutation
                        • are_equal_impl_() diff --git a/tensorwrapper_cxx_api/functions_func_b.html b/tensorwrapper_cxx_api/functions_func_b.html index b1f657b9..3fd0190b 100644 --- a/tensorwrapper_cxx_api/functions_func_b.html +++ b/tensorwrapper_cxx_api/functions_func_b.html @@ -22,7 +22,7 @@
                          tensorwrapper -  0.0.37 +  0.0.38
                          diff --git a/tensorwrapper_cxx_api/functions_func_c.html b/tensorwrapper_cxx_api/functions_func_c.html index edbcf3c3..b915ca91 100644 --- a/tensorwrapper_cxx_api/functions_func_c.html +++ b/tensorwrapper_cxx_api/functions_func_c.html @@ -22,7 +22,7 @@
                          tensorwrapper -  0.0.37 +  0.0.38
                          @@ -83,17 +83,23 @@

                          - c -

                          diff --git a/tensorwrapper_cxx_api/functions_func_d.html b/tensorwrapper_cxx_api/functions_func_d.html index 9dd82cb5..2fd93165 100644 --- a/tensorwrapper_cxx_api/functions_func_d.html +++ b/tensorwrapper_cxx_api/functions_func_d.html @@ -22,7 +22,7 @@
                          tensorwrapper -  0.0.37 +  0.0.38
                          @@ -81,7 +81,7 @@

                          - d -

                            : tensorwrapper::detail_::TensorFactory
                          • dispatch() -: tensorwrapper::dsl::PairwiseParser< ObjectType, LabelType > +: tensorwrapper::dsl::PairwiseParser
                          • DummyIndices() : tensorwrapper::dsl::DummyIndices< StringType > diff --git a/tensorwrapper_cxx_api/functions_func_e.html b/tensorwrapper_cxx_api/functions_func_e.html index 52fa9358..d7310c87 100644 --- a/tensorwrapper_cxx_api/functions_func_e.html +++ b/tensorwrapper_cxx_api/functions_func_e.html @@ -22,7 +22,7 @@
                            tensorwrapper -  0.0.37 +  0.0.38
                            diff --git a/tensorwrapper_cxx_api/functions_func_f.html b/tensorwrapper_cxx_api/functions_func_f.html index b65dde01..53f8122a 100644 --- a/tensorwrapper_cxx_api/functions_func_f.html +++ b/tensorwrapper_cxx_api/functions_func_f.html @@ -22,7 +22,7 @@
                            tensorwrapper -  0.0.37 +  0.0.38
                            diff --git a/tensorwrapper_cxx_api/functions_func_g.html b/tensorwrapper_cxx_api/functions_func_g.html index 2db0721e..a394713b 100644 --- a/tensorwrapper_cxx_api/functions_func_g.html +++ b/tensorwrapper_cxx_api/functions_func_g.html @@ -22,7 +22,7 @@
                            tensorwrapper -  0.0.37 +  0.0.38
                            diff --git a/tensorwrapper_cxx_api/functions_func_h.html b/tensorwrapper_cxx_api/functions_func_h.html index 8fc04014..38da524d 100644 --- a/tensorwrapper_cxx_api/functions_func_h.html +++ b/tensorwrapper_cxx_api/functions_func_h.html @@ -22,7 +22,7 @@
                            tensorwrapper -  0.0.37 +  0.0.38
                            @@ -68,6 +68,9 @@

                            - h -

                            • has_layout() : tensorwrapper::buffer::BufferBase
                              • +
                            • has_object() +: tensorwrapper::dsl::Labeled< ObjectType, StringType > +
                            • has_repeated_indices() : tensorwrapper::dsl::DummyIndices< StringType >
                              • diff --git a/tensorwrapper_cxx_api/functions_func_i.html b/tensorwrapper_cxx_api/functions_func_i.html index f2efa618..b26cb2fc 100644 --- a/tensorwrapper_cxx_api/functions_func_i.html +++ b/tensorwrapper_cxx_api/functions_func_i.html @@ -22,7 +22,7 @@
                              tensorwrapper -  0.0.37 +  0.0.38
                              @@ -65,10 +65,16 @@  

                              - i -

                              diff --git a/tensorwrapper_cxx_api/functions_func_l.html b/tensorwrapper_cxx_api/functions_func_l.html index 7ce542cd..c332b074 100644 --- a/tensorwrapper_cxx_api/functions_func_l.html +++ b/tensorwrapper_cxx_api/functions_func_l.html @@ -22,7 +22,7 @@
                              tensorwrapper -  0.0.37 +  0.0.38
                              @@ -66,7 +66,10 @@

                              - l -

                              • Labeled() -: tensorwrapper::dsl::Labeled< ObjectType, LabelType > +: tensorwrapper::dsl::Labeled< ObjectType, StringType > +
                                • +
                              • labels() +: tensorwrapper::dsl::Labeled< ObjectType, StringType >
                              • layout() : tensorwrapper::buffer::BufferBase diff --git a/tensorwrapper_cxx_api/functions_func_m.html b/tensorwrapper_cxx_api/functions_func_m.html index 996174b5..600e0727 100644 --- a/tensorwrapper_cxx_api/functions_func_m.html +++ b/tensorwrapper_cxx_api/functions_func_m.html @@ -22,7 +22,7 @@
                                tensorwrapper -  0.0.37 +  0.0.38
                                @@ -65,8 +65,14 @@  

                                - m -

                                diff --git a/tensorwrapper_cxx_api/functions_func_o.html b/tensorwrapper_cxx_api/functions_func_o.html index 9ff3415b..dff6f062 100644 --- a/tensorwrapper_cxx_api/functions_func_o.html +++ b/tensorwrapper_cxx_api/functions_func_o.html @@ -22,7 +22,7 @@
                                tensorwrapper -  0.0.37 +  0.0.38
                                @@ -65,11 +65,16 @@  

                                - o -

                                  +
                                • object() +: tensorwrapper::dsl::Labeled< ObjectType, StringType > +
                                • operator!=() : tensorwrapper::allocator::AllocatorBase , tensorwrapper::allocator::Eigen< FloatType, Rank > , tensorwrapper::buffer::BufferBase , tensorwrapper::buffer::Eigen< FloatType, Rank > +, tensorwrapper::dsl::DummyIndices< StringType > +, tensorwrapper::dsl::Labeled< ObjectType, StringType > , tensorwrapper::layout::LayoutBase , tensorwrapper::shape::Smooth , tensorwrapper::shape::SmoothView< SmoothType > @@ -79,13 +84,12 @@

                                  - o -

                                    , tensorwrapper::Tensor
                                  • operator()() -: tensorwrapper::buffer::BufferBase -, tensorwrapper::Tensor +: tensorwrapper::detail_::DSLBase< DerivedType, StringType >
                                  • operator=() : tensorwrapper::buffer::BufferBase , tensorwrapper::buffer::Eigen< FloatType, Rank > -, tensorwrapper::dsl::Labeled< ObjectType, LabelType > +, tensorwrapper::dsl::Labeled< ObjectType, StringType > , tensorwrapper::shape::SmoothView< SmoothType > , tensorwrapper::symmetry::Group , tensorwrapper::Tensor @@ -96,6 +100,8 @@

                                    - o -

                                      , tensorwrapper::buffer::BufferBase , tensorwrapper::buffer::Eigen< FloatType, Rank > , tensorwrapper::detail_::TensorPIMPL +, tensorwrapper::dsl::DummyIndices< StringType > +, tensorwrapper::dsl::Labeled< ObjectType, StringType > , tensorwrapper::layout::LayoutBase , tensorwrapper::shape::Smooth , tensorwrapper::shape::SmoothView< SmoothType > diff --git a/tensorwrapper_cxx_api/functions_func_p.html b/tensorwrapper_cxx_api/functions_func_p.html index f0013878..ed48b316 100644 --- a/tensorwrapper_cxx_api/functions_func_p.html +++ b/tensorwrapper_cxx_api/functions_func_p.html @@ -22,7 +22,7 @@
                                      tensorwrapper -  0.0.37 +  0.0.38
                                      @@ -65,21 +65,23 @@  

                                      - p -

                                        +
                                      • Pattern() +: tensorwrapper::sparsity::Pattern +
                                      • permutation() : tensorwrapper::dsl::DummyIndices< StringType >
                                      • Permutation() -: tensorwrapper::symmetry::Permutation -
                                        • -
                                      • permute() -: tensorwrapper::buffer::BufferBase +: tensorwrapper::symmetry::Permutation
                                      • permute_assignment() -: tensorwrapper::buffer::BufferBase +: tensorwrapper::detail_::DSLBase< DerivedType, StringType >
                                      • permute_assignment_() -: tensorwrapper::buffer::BufferBase -, tensorwrapper::buffer::Eigen< FloatType, Rank > +: tensorwrapper::detail_::DSLBase< DerivedType, StringType > +, tensorwrapper::shape::Smooth +, tensorwrapper::sparsity::Pattern +, tensorwrapper::symmetry::Group
                                      • PolymorphicBase() : tensorwrapper::detail_::PolymorphicBase< BaseType > diff --git a/tensorwrapper_cxx_api/functions_func_r.html b/tensorwrapper_cxx_api/functions_func_r.html index f10d9ab1..d0abe86a 100644 --- a/tensorwrapper_cxx_api/functions_func_r.html +++ b/tensorwrapper_cxx_api/functions_func_r.html @@ -22,7 +22,7 @@
                                        tensorwrapper -  0.0.37 +  0.0.38
                                        @@ -69,10 +69,14 @@

                                        - r -

                                          : tensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType > , tensorwrapper::shape::ShapeBase , tensorwrapper::shape::SmoothView< SmoothType > +, tensorwrapper::sparsity::Pattern +, tensorwrapper::symmetry::Group
                                        • rank_() : tensorwrapper::shape::detail_::SmoothAlias< SmoothType > , tensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType > +, tensorwrapper::symmetry::Operation +, tensorwrapper::symmetry::Permutation
                                        • rebind() : tensorwrapper::allocator::Eigen< FloatType, Rank > diff --git a/tensorwrapper_cxx_api/functions_func_s.html b/tensorwrapper_cxx_api/functions_func_s.html index 5378fd3e..aa5c2249 100644 --- a/tensorwrapper_cxx_api/functions_func_s.html +++ b/tensorwrapper_cxx_api/functions_func_s.html @@ -22,7 +22,7 @@
                                          tensorwrapper -  0.0.37 +  0.0.38
                                          @@ -65,6 +65,12 @@  

                                          - s -

                                            +
                                          • scalar_multiplication() +: tensorwrapper::detail_::DSLBase< DerivedType, StringType > +
                                            • +
                                          • scalar_multiplication_() +: tensorwrapper::detail_::DSLBase< DerivedType, StringType > +
                                          • shape() : tensorwrapper::layout::LayoutBase
                                            • @@ -89,11 +95,20 @@

                                            - s -

                                              : tensorwrapper::shape::detail_::SmoothAlias< SmoothType >
                                            • SmoothView() -: tensorwrapper::shape::SmoothView< SmoothType > +: tensorwrapper::shape::SmoothView< SmoothType >
                                            • sparsity() : tensorwrapper::layout::LayoutBase
                                              • +
                                            • subtraction_assignment() +: tensorwrapper::detail_::DSLBase< DerivedType, StringType > +
                                              • +
                                            • subtraction_assignment_() +: tensorwrapper::detail_::DSLBase< DerivedType, StringType > +, tensorwrapper::shape::Smooth +, tensorwrapper::sparsity::Pattern +, tensorwrapper::symmetry::Group +
                                            • swap() : tensorwrapper::shape::Smooth , tensorwrapper::shape::SmoothView< SmoothType > diff --git a/tensorwrapper_cxx_api/functions_func_t.html b/tensorwrapper_cxx_api/functions_func_t.html index bdc4915f..2fefa7d9 100644 --- a/tensorwrapper_cxx_api/functions_func_t.html +++ b/tensorwrapper_cxx_api/functions_func_t.html @@ -22,7 +22,7 @@
                                              tensorwrapper -  0.0.37 +  0.0.38
                                              @@ -79,6 +79,8 @@

                                              - t -

                                              diff --git a/tensorwrapper_cxx_api/functions_func_u.html b/tensorwrapper_cxx_api/functions_func_u.html index 350b212c..fdf5fae5 100644 --- a/tensorwrapper_cxx_api/functions_func_u.html +++ b/tensorwrapper_cxx_api/functions_func_u.html @@ -22,7 +22,7 @@
                                              tensorwrapper -  0.0.37 +  0.0.38
                                              diff --git a/tensorwrapper_cxx_api/functions_func_v.html b/tensorwrapper_cxx_api/functions_func_v.html index 9d6384b3..fc160625 100644 --- a/tensorwrapper_cxx_api/functions_func_v.html +++ b/tensorwrapper_cxx_api/functions_func_v.html @@ -22,7 +22,7 @@
                                              tensorwrapper -  0.0.37 +  0.0.38
                                              diff --git a/tensorwrapper_cxx_api/functions_func_~.html b/tensorwrapper_cxx_api/functions_func_~.html index ba891f07..72952ad1 100644 --- a/tensorwrapper_cxx_api/functions_func_~.html +++ b/tensorwrapper_cxx_api/functions_func_~.html @@ -22,7 +22,7 @@
                                              tensorwrapper -  0.0.37 +  0.0.38
                                              @@ -65,6 +65,9 @@  

                                              - ~ -

                                                +
                                              • ~DSLBase() +: tensorwrapper::detail_::DSLBase< DerivedType, StringType > +
                                              • ~LayoutBase() : tensorwrapper::layout::LayoutBase
                                                • diff --git a/tensorwrapper_cxx_api/functions_g.html b/tensorwrapper_cxx_api/functions_g.html index 040c23f8..126c80a6 100644 --- a/tensorwrapper_cxx_api/functions_g.html +++ b/tensorwrapper_cxx_api/functions_g.html @@ -22,7 +22,7 @@
                                                tensorwrapper -  0.0.37 +  0.0.38
                                                diff --git a/tensorwrapper_cxx_api/functions_h.html b/tensorwrapper_cxx_api/functions_h.html index 2adb3d41..08924bc4 100644 --- a/tensorwrapper_cxx_api/functions_h.html +++ b/tensorwrapper_cxx_api/functions_h.html @@ -22,7 +22,7 @@
                                                tensorwrapper -  0.0.37 +  0.0.38
                                                @@ -68,6 +68,9 @@

                                                - h -

                                                • has_layout() : tensorwrapper::buffer::BufferBase
                                                  • +
                                                • has_object() +: tensorwrapper::dsl::Labeled< ObjectType, StringType > +
                                                • has_repeated_indices() : tensorwrapper::dsl::DummyIndices< StringType >
                                                  • diff --git a/tensorwrapper_cxx_api/functions_i.html b/tensorwrapper_cxx_api/functions_i.html index abf93714..463f46a2 100644 --- a/tensorwrapper_cxx_api/functions_i.html +++ b/tensorwrapper_cxx_api/functions_i.html @@ -22,7 +22,7 @@
                                                  tensorwrapper -  0.0.37 +  0.0.38
                                                  @@ -68,10 +68,16 @@

                                                  - i -

                                                  diff --git a/tensorwrapper_cxx_api/functions_l.html b/tensorwrapper_cxx_api/functions_l.html index e3e7f433..53377358 100644 --- a/tensorwrapper_cxx_api/functions_l.html +++ b/tensorwrapper_cxx_api/functions_l.html @@ -22,7 +22,7 @@
                                                  tensorwrapper -  0.0.37 +  0.0.38
                                                  @@ -65,25 +65,24 @@
                                                  Here is a list of all documented class members with links to the class documentation for each member:

                                                  - l -

                                                    +
                                                  • label_reference +: tensorwrapper::dsl::Labeled< ObjectType, StringType > +
                                                  • label_type -: tensorwrapper::buffer::BufferBase -, tensorwrapper::dsl::Labeled< ObjectType, LabelType > -, tensorwrapper::Tensor +: tensorwrapper::detail_::DSLBase< DerivedType, StringType > +, tensorwrapper::dsl::Labeled< ObjectType, StringType >
                                                  • Labeled() -: tensorwrapper::dsl::Labeled< ObjectType, LabelType > -
                                                    • -
                                                  • labeled_buffer_type -: tensorwrapper::buffer::BufferBase +: tensorwrapper::dsl::Labeled< ObjectType, StringType >
                                                    • -
                                                  • labeled_const_buffer_type -: tensorwrapper::buffer::BufferBase -
                                                    • -
                                                  • labeled_tensor_type -: tensorwrapper::Tensor +
                                                  • labeled_const_type +: tensorwrapper::detail_::DSLBase< DerivedType, StringType >
                                                  • labeled_type -: tensorwrapper::dsl::PairwiseParser< ObjectType, LabelType > +: tensorwrapper::detail_::DSLBase< DerivedType, StringType > +
                                                    • +
                                                  • labels() +: tensorwrapper::dsl::Labeled< ObjectType, StringType >
                                                  • layout() : tensorwrapper::buffer::BufferBase diff --git a/tensorwrapper_cxx_api/functions_m.html b/tensorwrapper_cxx_api/functions_m.html index 1d963789..d7bd34d0 100644 --- a/tensorwrapper_cxx_api/functions_m.html +++ b/tensorwrapper_cxx_api/functions_m.html @@ -22,7 +22,7 @@
                                                    tensorwrapper -  0.0.37 +  0.0.38
                                                    @@ -69,13 +69,20 @@

                                                    - m -

                                                    diff --git a/tensorwrapper_cxx_api/functions_o.html b/tensorwrapper_cxx_api/functions_o.html index 6eff0df5..f3526886 100644 --- a/tensorwrapper_cxx_api/functions_o.html +++ b/tensorwrapper_cxx_api/functions_o.html @@ -22,7 +22,7 @@
                                                    tensorwrapper -  0.0.37 +  0.0.38
                                                    @@ -65,8 +65,14 @@
                                                    Here is a list of all documented class members with links to the class documentation for each member:

                                                    - o -

                                                      +
                                                    • object() +: tensorwrapper::dsl::Labeled< ObjectType, StringType > +
                                                      • +
                                                    • object_reference +: tensorwrapper::dsl::Labeled< ObjectType, StringType > +
                                                    • object_type -: tensorwrapper::dsl::Labeled< ObjectType, LabelType > +: tensorwrapper::dsl::Labeled< ObjectType, StringType >
                                                    • offset_vector : tensorwrapper::dsl::DummyIndices< StringType > @@ -76,6 +82,8 @@

                                                      - o -

                                                        , tensorwrapper::allocator::Eigen< FloatType, Rank > , tensorwrapper::buffer::BufferBase , tensorwrapper::buffer::Eigen< FloatType, Rank > +, tensorwrapper::dsl::DummyIndices< StringType > +, tensorwrapper::dsl::Labeled< ObjectType, StringType > , tensorwrapper::layout::LayoutBase , tensorwrapper::shape::Smooth , tensorwrapper::shape::SmoothView< SmoothType > @@ -85,14 +93,13 @@

                                                        - o -

                                                          , tensorwrapper::Tensor
                                                        • operator()() -: tensorwrapper::buffer::BufferBase -, tensorwrapper::Tensor +: tensorwrapper::detail_::DSLBase< DerivedType, StringType >
                                                        • operator=() : tensorwrapper::buffer::BufferBase , tensorwrapper::buffer::Eigen< FloatType, Rank > -, tensorwrapper::dsl::Labeled< ObjectType, LabelType > -, tensorwrapper::shape::SmoothView< SmoothType > +, tensorwrapper::dsl::Labeled< ObjectType, StringType > +, tensorwrapper::shape::SmoothView< SmoothType > , tensorwrapper::symmetry::Group , tensorwrapper::Tensor
                                                          • @@ -102,6 +109,8 @@

                                                          - o -

                                                            , tensorwrapper::buffer::BufferBase , tensorwrapper::buffer::Eigen< FloatType, Rank > , tensorwrapper::detail_::TensorPIMPL +, tensorwrapper::dsl::DummyIndices< StringType > +, tensorwrapper::dsl::Labeled< ObjectType, StringType > , tensorwrapper::layout::LayoutBase , tensorwrapper::shape::Smooth , tensorwrapper::shape::SmoothView< SmoothType > diff --git a/tensorwrapper_cxx_api/functions_p.html b/tensorwrapper_cxx_api/functions_p.html index 556b9b0e..1201f3c7 100644 --- a/tensorwrapper_cxx_api/functions_p.html +++ b/tensorwrapper_cxx_api/functions_p.html @@ -22,7 +22,7 @@
                                                            tensorwrapper -  0.0.37 +  0.0.38
                                                            @@ -69,21 +69,23 @@

                                                            - p -

                                                              : tensorwrapper::detail_::TensorPIMPL , tensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType > +
                                                            • Pattern() +: tensorwrapper::sparsity::Pattern +
                                                            • permutation() : tensorwrapper::dsl::DummyIndices< StringType >
                                                            • Permutation() -: tensorwrapper::symmetry::Permutation -
                                                              • -
                                                            • permute() -: tensorwrapper::buffer::BufferBase +: tensorwrapper::symmetry::Permutation
                                                            • permute_assignment() -: tensorwrapper::buffer::BufferBase +: tensorwrapper::detail_::DSLBase< DerivedType, StringType >
                                                            • permute_assignment_() -: tensorwrapper::buffer::BufferBase -, tensorwrapper::buffer::Eigen< FloatType, Rank > +: tensorwrapper::detail_::DSLBase< DerivedType, StringType > +, tensorwrapper::shape::Smooth +, tensorwrapper::sparsity::Pattern +, tensorwrapper::symmetry::Group
                                                            • physical_layout_pointer : tensorwrapper::detail_::TensorInput @@ -100,6 +102,9 @@

                                                              - p -

                                                                : tensorwrapper::detail_::TensorFactory , tensorwrapper::Tensor +
                                                              • polymorphic_base_type +: tensorwrapper::shape::ShapeBase +
                                                              • PolymorphicBase() : tensorwrapper::detail_::PolymorphicBase< BaseType >
                                                                • diff --git a/tensorwrapper_cxx_api/functions_r.html b/tensorwrapper_cxx_api/functions_r.html index cd3ae55f..078cc775 100644 --- a/tensorwrapper_cxx_api/functions_r.html +++ b/tensorwrapper_cxx_api/functions_r.html @@ -22,7 +22,7 @@
                                                                tensorwrapper -  0.0.37 +  0.0.38
                                                                @@ -69,10 +69,14 @@

                                                                - r -

                                                                  : tensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType > , tensorwrapper::shape::ShapeBase , tensorwrapper::shape::SmoothView< SmoothType > +, tensorwrapper::sparsity::Pattern +, tensorwrapper::symmetry::Group
                                                                • rank_() : tensorwrapper::shape::detail_::SmoothAlias< SmoothType > , tensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType > +, tensorwrapper::symmetry::Operation +, tensorwrapper::symmetry::Permutation
                                                                • rank_type : tensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType > diff --git a/tensorwrapper_cxx_api/functions_rela.html b/tensorwrapper_cxx_api/functions_rela.html index d53b7374..d899b216 100644 --- a/tensorwrapper_cxx_api/functions_rela.html +++ b/tensorwrapper_cxx_api/functions_rela.html @@ -22,7 +22,7 @@
                                                                  tensorwrapper -  0.0.37 +  0.0.38
                                                                  diff --git a/tensorwrapper_cxx_api/functions_s.html b/tensorwrapper_cxx_api/functions_s.html index bd23bee7..5d1c27be 100644 --- a/tensorwrapper_cxx_api/functions_s.html +++ b/tensorwrapper_cxx_api/functions_s.html @@ -22,7 +22,7 @@
                                                                  tensorwrapper -  0.0.37 +  0.0.38
                                                                  @@ -69,6 +69,12 @@

                                                                  - s -

                                                                    : tensorwrapper::detail_::TensorFactory , tensorwrapper::Tensor +
                                                                  • scalar_multiplication() +: tensorwrapper::detail_::DSLBase< DerivedType, StringType > +
                                                                    • +
                                                                  • scalar_multiplication_() +: tensorwrapper::detail_::DSLBase< DerivedType, StringType > +
                                                                  • shape() : tensorwrapper::layout::LayoutBase
                                                                    • @@ -103,6 +109,7 @@

                                                                    - s -

                                                                      , tensorwrapper::layout::Physical , tensorwrapper::shape::ShapeBase , tensorwrapper::shape::Smooth +, tensorwrapper::sparsity::Pattern , tensorwrapper::symmetry::Group
                                                                    • Smooth() @@ -117,8 +124,8 @@

                                                                      - s -

                                                                      • SmoothAlias() : tensorwrapper::shape::detail_::SmoothAlias< SmoothType >
                                                                        • -
                                                                      • SmoothView -: tensorwrapper::shape::SmoothView< SmoothType > +
                                                                      • SmoothView() +: tensorwrapper::shape::SmoothView< SmoothType >
                                                                      • sparsity() : tensorwrapper::layout::LayoutBase @@ -138,7 +145,18 @@

                                                                        - s -

                                                                          : tensorwrapper::dsl::DummyIndices< StringType >
                                                                        • string_type -: tensorwrapper::detail_::PolymorphicBase< BaseType > +: tensorwrapper::detail_::DSLBase< DerivedType, StringType > +, tensorwrapper::detail_::PolymorphicBase< BaseType > +, tensorwrapper::dsl::Labeled< ObjectType, StringType > +
                                                                          • +
                                                                        • subtraction_assignment() +: tensorwrapper::detail_::DSLBase< DerivedType, StringType > +
                                                                          • +
                                                                        • subtraction_assignment_() +: tensorwrapper::detail_::DSLBase< DerivedType, StringType > +, tensorwrapper::shape::Smooth +, tensorwrapper::sparsity::Pattern +, tensorwrapper::symmetry::Group
                                                                        • swap() : tensorwrapper::shape::Smooth diff --git a/tensorwrapper_cxx_api/functions_t.html b/tensorwrapper_cxx_api/functions_t.html index 123c2107..4c72786d 100644 --- a/tensorwrapper_cxx_api/functions_t.html +++ b/tensorwrapper_cxx_api/functions_t.html @@ -22,7 +22,7 @@
                                                                          tensorwrapper -  0.0.37 +  0.0.38
                                                                          @@ -66,7 +66,7 @@

                                                                          - t -

                                                                          • Tensor() -: tensorwrapper::Tensor +: tensorwrapper::Tensor
                                                                          • tensor3_il_type : tensorwrapper::detail_::TensorFactory @@ -90,6 +90,8 @@

                                                                            - t -

                                                                            diff --git a/tensorwrapper_cxx_api/functions_type.html b/tensorwrapper_cxx_api/functions_type.html index 26b568a0..fb99c9f4 100644 --- a/tensorwrapper_cxx_api/functions_type.html +++ b/tensorwrapper_cxx_api/functions_type.html @@ -22,7 +22,7 @@
                                                                            tensorwrapper -  0.0.37 +  0.0.38
                                                                            @@ -86,6 +86,9 @@

                                                                            - b -

                                                                              : tensorwrapper::detail_::PolymorphicBase< BaseType > , tensorwrapper::symmetry::Operation +
                                                                            • base_rvalue +: tensorwrapper::detail_::PolymorphicBase< BaseType > +
                                                                            • base_type : tensorwrapper::detail_::PolymorphicBase< BaseType > , tensorwrapper::shape::detail_::SmoothAlias< SmoothType > @@ -157,13 +160,10 @@

                                                                              - c -

                                                                                : tensorwrapper::allocator::Eigen< FloatType, Rank >
                                                                              • const_label_reference -: tensorwrapper::Tensor -
                                                                                • -
                                                                              • const_labeled_buffer_reference -: tensorwrapper::buffer::BufferBase +: tensorwrapper::dsl::Labeled< ObjectType, StringType >
                                                                                • -
                                                                              • const_labeled_tensor_type -: tensorwrapper::Tensor +
                                                                              • const_labeled_reference +: tensorwrapper::detail_::DSLBase< DerivedType, StringType >
                                                                              • const_layout_reference : tensorwrapper::buffer::BufferBase @@ -173,6 +173,9 @@

                                                                                - c -

                                                                                  : tensorwrapper::detail_::TensorInput , tensorwrapper::Tensor +
                                                                                • const_object_reference +: tensorwrapper::dsl::Labeled< ObjectType, StringType > +
                                                                                • const_physical_reference : tensorwrapper::detail_::TensorInput
                                                                                  • @@ -227,6 +230,24 @@

                                                                                  - d -

                                                                                  @@ -257,22 +278,18 @@

                                                                                  - i -

                                                                                    - l -

                                                                                      -
                                                                                    • label_type -: tensorwrapper::buffer::BufferBase -, tensorwrapper::dsl::Labeled< ObjectType, LabelType > -, tensorwrapper::Tensor -
                                                                                      • -
                                                                                    • labeled_buffer_type -: tensorwrapper::buffer::BufferBase +
                                                                                    • label_reference +: tensorwrapper::dsl::Labeled< ObjectType, StringType >
                                                                                      • -
                                                                                    • labeled_const_buffer_type -: tensorwrapper::buffer::BufferBase +
                                                                                    • label_type +: tensorwrapper::detail_::DSLBase< DerivedType, StringType > +, tensorwrapper::dsl::Labeled< ObjectType, StringType >
                                                                                      • -
                                                                                    • labeled_tensor_type -: tensorwrapper::Tensor +
                                                                                    • labeled_const_type +: tensorwrapper::detail_::DSLBase< DerivedType, StringType >
                                                                                    • labeled_type -: tensorwrapper::dsl::PairwiseParser< ObjectType, LabelType > +: tensorwrapper::detail_::DSLBase< DerivedType, StringType >
                                                                                    • layout_base : tensorwrapper::detail_::TensorInput @@ -309,15 +326,19 @@

                                                                                      - m -

                                                                                      - o -

                                                                                        +
                                                                                      • object_reference +: tensorwrapper::dsl::Labeled< ObjectType, StringType > +
                                                                                      • object_type -: tensorwrapper::dsl::Labeled< ObjectType, LabelType > +: tensorwrapper::dsl::Labeled< ObjectType, StringType >
                                                                                      • offset_vector : tensorwrapper::dsl::DummyIndices< StringType > @@ -345,6 +366,9 @@

                                                                                        - p -

                                                                                        @@ -390,6 +414,7 @@

                                                                                        - s -

                                                                                          , tensorwrapper::layout::Physical , tensorwrapper::shape::ShapeBase , tensorwrapper::shape::Smooth +, tensorwrapper::sparsity::Pattern , tensorwrapper::symmetry::Group
                                                                                        • smooth_reference @@ -413,7 +438,9 @@

                                                                                          - s -

                                                                                            : tensorwrapper::dsl::DummyIndices< StringType >
                                                                                          • string_type -: tensorwrapper::detail_::PolymorphicBase< BaseType > +: tensorwrapper::detail_::DSLBase< DerivedType, StringType > +, tensorwrapper::detail_::PolymorphicBase< BaseType > +, tensorwrapper::dsl::Labeled< ObjectType, StringType >
                                                                                          • symmetry_base : tensorwrapper::detail_::TensorInput diff --git a/tensorwrapper_cxx_api/functions_u.html b/tensorwrapper_cxx_api/functions_u.html index 821d46c4..a4c12bce 100644 --- a/tensorwrapper_cxx_api/functions_u.html +++ b/tensorwrapper_cxx_api/functions_u.html @@ -22,7 +22,7 @@
                                                                                            tensorwrapper -  0.0.37 +  0.0.38
                                                                                            diff --git a/tensorwrapper_cxx_api/functions_v.html b/tensorwrapper_cxx_api/functions_v.html index e686d2c7..c87de0c8 100644 --- a/tensorwrapper_cxx_api/functions_v.html +++ b/tensorwrapper_cxx_api/functions_v.html @@ -22,7 +22,7 @@
                                                                                            tensorwrapper -  0.0.37 +  0.0.38
                                                                                            diff --git a/tensorwrapper_cxx_api/functions_vars.html b/tensorwrapper_cxx_api/functions_vars.html index 1f56c355..7ceddc65 100644 --- a/tensorwrapper_cxx_api/functions_vars.html +++ b/tensorwrapper_cxx_api/functions_vars.html @@ -22,7 +22,7 @@
                                                                                            tensorwrapper -  0.0.37 +  0.0.38
                                                                                            diff --git a/tensorwrapper_cxx_api/functions_~.html b/tensorwrapper_cxx_api/functions_~.html index 8d1f46ec..dfb7ae63 100644 --- a/tensorwrapper_cxx_api/functions_~.html +++ b/tensorwrapper_cxx_api/functions_~.html @@ -22,7 +22,7 @@
                                                                                            tensorwrapper -  0.0.37 +  0.0.38
                                                                                            @@ -65,6 +65,9 @@
                                                                                            Here is a list of all documented class members with links to the class documentation for each member:

                                                                                            - ~ -

                                                                                              +
                                                                                            • ~DSLBase() +: tensorwrapper::detail_::DSLBase< DerivedType, StringType > +
                                                                                            • ~LayoutBase() : tensorwrapper::layout::LayoutBase
                                                                                              • diff --git a/tensorwrapper_cxx_api/graph_legend.html b/tensorwrapper_cxx_api/graph_legend.html index 7f8c5eb4..5f174fa6 100644 --- a/tensorwrapper_cxx_api/graph_legend.html +++ b/tensorwrapper_cxx_api/graph_legend.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/group_8hpp_source.html b/tensorwrapper_cxx_api/group_8hpp_source.html index 335d0db9..7e0081e9 100644 --- a/tensorwrapper_cxx_api/group_8hpp_source.html +++ b/tensorwrapper_cxx_api/group_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              @@ -88,115 +88,180 @@
                                                                                              16 
                                                                                              17 #pragma once
                                                                                              18 #include <deque>
                                                                                              -
                                                                                              19 #include <tensorwrapper/symmetry/operation.hpp>
                                                                                              -
                                                                                              20 #include <utilities/containers/indexable_container_base.hpp>
                                                                                              -
                                                                                              21 
                                                                                              -
                                                                                              22 namespace tensorwrapper::symmetry {
                                                                                              -
                                                                                              23 
                                                                                              -
                                                                                              37 class Group : public utilities::IndexableContainerBase<Group> {
                                                                                              -
                                                                                              38 private:
                                                                                              -
                                                                                              40  using my_type = Group;
                                                                                              -
                                                                                              41 
                                                                                              -
                                                                                              43  using base_type = utilities::IndexableContainerBase<my_type>;
                                                                                              -
                                                                                              44 
                                                                                              -
                                                                                              45 public:
                                                                                              -
                                                                                              47  using value_type = Operation;
                                                                                              -
                                                                                              48 
                                                                                              -
                                                                                              50  using reference = value_type::base_reference;
                                                                                              -
                                                                                              51 
                                                                                              -
                                                                                              53  using const_reference = value_type::const_base_reference;
                                                                                              -
                                                                                              54 
                                                                                              -
                                                                                              56  using size_type = std::size_t;
                                                                                              -
                                                                                              57 
                                                                                              -
                                                                                              58  // -------------------------------------------------------------------------
                                                                                              -
                                                                                              59  // -- Ctors and assignment
                                                                                              -
                                                                                              60  // -------------------------------------------------------------------------
                                                                                              -
                                                                                              61 
                                                                                              -
                                                                                              69  Group() noexcept = default;
                                                                                              -
                                                                                              70 
                                                                                              -
                                                                                              87  template<typename... Args>
                                                                                              -
                                                                                              88  explicit Group(const_reference op, Args&&... ops) :
                                                                                              -
                                                                                              89  Group(std::forward<Args>(ops)...) {
                                                                                              -
                                                                                              90  if(!count(op) && !op.is_identity())
                                                                                              -
                                                                                              91  m_relations_.emplace_front(op.clone());
                                                                                              -
                                                                                              92  }
                                                                                              -
                                                                                              93 
                                                                                              -
                                                                                              104  Group(const Group& other) {
                                                                                              -
                                                                                              105  for(const auto& x : other.m_relations_)
                                                                                              -
                                                                                              106  m_relations_.push_back(x->clone());
                                                                                              -
                                                                                              107  }
                                                                                              -
                                                                                              108 
                                                                                              -
                                                                                              117  Group(Group&& other) noexcept = default;
                                                                                              +
                                                                                              19 #include <optional>
                                                                                              +
                                                                                              20 #include <tensorwrapper/detail_/dsl_base.hpp>
                                                                                              +
                                                                                              21 #include <tensorwrapper/detail_/polymorphic_base.hpp>
                                                                                              +
                                                                                              22 #include <tensorwrapper/symmetry/operation.hpp>
                                                                                              +
                                                                                              23 #include <utilities/containers/indexable_container_base.hpp>
                                                                                              +
                                                                                              24 
                                                                                              +
                                                                                              25 namespace tensorwrapper::symmetry {
                                                                                              +
                                                                                              26 
                                                                                              +
                                                                                              40 class Group : public utilities::IndexableContainerBase<Group>,
                                                                                              +
                                                                                              41  public tensorwrapper::detail_::DSLBase<Group>,
                                                                                              +
                                                                                              42  public tensorwrapper::detail_::PolymorphicBase<Group> {
                                                                                              +
                                                                                              43 private:
                                                                                              +
                                                                                              45  using my_type = Group;
                                                                                              +
                                                                                              46 
                                                                                              +
                                                                                              48  using container_type = utilities::IndexableContainerBase<my_type>;
                                                                                              +
                                                                                              49 
                                                                                              +
                                                                                              51  using polymorphic_type = tensorwrapper::detail_::PolymorphicBase<Group>;
                                                                                              +
                                                                                              52 
                                                                                              +
                                                                                              53 public:
                                                                                              +
                                                                                              55  using value_type = Operation;
                                                                                              +
                                                                                              56 
                                                                                              +
                                                                                              58  using reference = value_type::base_reference;
                                                                                              +
                                                                                              59 
                                                                                              +
                                                                                              61  using const_reference = value_type::const_base_reference;
                                                                                              +
                                                                                              62 
                                                                                              +
                                                                                              64  using size_type = std::size_t;
                                                                                              +
                                                                                              65 
                                                                                              +
                                                                                              67  using mode_index_type = typename value_type::mode_index_type;
                                                                                              +
                                                                                              68 
                                                                                              +
                                                                                              69  // -------------------------------------------------------------------------
                                                                                              +
                                                                                              70  // -- Ctors and assignment
                                                                                              +
                                                                                              71  // -------------------------------------------------------------------------
                                                                                              +
                                                                                              72 
                                                                                              +
                                                                                              77  Group() noexcept = default;
                                                                                              +
                                                                                              78 
                                                                                              +
                                                                                              88  explicit Group(mode_index_type rank) noexcept :
                                                                                              +
                                                                                              89  m_relations_{}, m_rank_(rank) {}
                                                                                              +
                                                                                              90 
                                                                                              +
                                                                                              109  template<typename... Args>
                                                                                              +
                                                                                              110  explicit Group(const_reference op, Args&&... ops) :
                                                                                              +
                                                                                              111  Group(std::forward<Args>(ops)...) {
                                                                                              +
                                                                                              112  if(m_rank_ && rank() != op.rank())
                                                                                              +
                                                                                              113  throw std::runtime_error("Ranks of operations are not consistent");
                                                                                              +
                                                                                              114  if(!m_rank_) m_rank_.emplace(op.rank());
                                                                                              +
                                                                                              115  if(!count(op) && !op.is_identity())
                                                                                              +
                                                                                              116  m_relations_.emplace_front(op.clone());
                                                                                              +
                                                                                              117  }
                                                                                              118 
                                                                                              -
                                                                                              131  Group& operator=(const Group& rhs) {
                                                                                              -
                                                                                              132  if(this != &rhs) Group(rhs).swap(*this);
                                                                                              -
                                                                                              133  return *this;
                                                                                              -
                                                                                              134  }
                                                                                              -
                                                                                              135 
                                                                                              -
                                                                                              146  Group& operator=(Group&& rhs) noexcept = default;
                                                                                              -
                                                                                              147 
                                                                                              -
                                                                                              159  bool count(const_reference op) const noexcept;
                                                                                              -
                                                                                              160 
                                                                                              -
                                                                                              161  // -------------------------------------------------------------------------
                                                                                              -
                                                                                              162  // -- Utility methods
                                                                                              -
                                                                                              163  // -------------------------------------------------------------------------
                                                                                              -
                                                                                              164 
                                                                                              -
                                                                                              173  void swap(Group& other) noexcept { m_relations_.swap(other.m_relations_); }
                                                                                              -
                                                                                              174 
                                                                                              -
                                                                                              186  bool operator==(const Group& rhs) const noexcept;
                                                                                              -
                                                                                              187 
                                                                                              -
                                                                                              199  bool operator!=(const Group& rhs) const noexcept { return !(*this == rhs); }
                                                                                              -
                                                                                              200 
                                                                                              -
                                                                                              201 private:
                                                                                              -
                                                                                              203  friend base_type;
                                                                                              -
                                                                                              204 
                                                                                              -
                                                                                              206  using value_pointer = value_type::base_pointer;
                                                                                              -
                                                                                              207 
                                                                                              -
                                                                                              209  using relation_container_type = std::deque<value_pointer>;
                                                                                              -
                                                                                              210 
                                                                                              -
                                                                                              212  const_reference at_(size_type i) noexcept { return *m_relations_[i]; }
                                                                                              -
                                                                                              213 
                                                                                              -
                                                                                              215  const_reference at_(size_type i) const noexcept { return *m_relations_[i]; }
                                                                                              -
                                                                                              216 
                                                                                              -
                                                                                              218  size_type size_() const noexcept { return m_relations_.size(); }
                                                                                              -
                                                                                              219 
                                                                                              -
                                                                                              221  relation_container_type m_relations_;
                                                                                              -
                                                                                              222 };
                                                                                              -
                                                                                              223 
                                                                                              -
                                                                                              224 // -- Out of line implementations
                                                                                              -
                                                                                              225 
                                                                                              -
                                                                                              226 inline bool Group::count(const_reference op) const noexcept {
                                                                                              -
                                                                                              227  for(auto it = begin(); it != end(); ++it) {
                                                                                              -
                                                                                              228  if(it->are_equal(op)) return true;
                                                                                              -
                                                                                              229  }
                                                                                              -
                                                                                              230  return false;
                                                                                              -
                                                                                              231 }
                                                                                              -
                                                                                              232 
                                                                                              -
                                                                                              233 inline bool Group::operator==(const Group& rhs) const noexcept {
                                                                                              -
                                                                                              234  if(size() != rhs.size()) return false;
                                                                                              -
                                                                                              235  for(const auto& x : *this)
                                                                                              -
                                                                                              236  if(!rhs.count(x)) return false;
                                                                                              -
                                                                                              237  return true;
                                                                                              -
                                                                                              238 }
                                                                                              -
                                                                                              239 
                                                                                              -
                                                                                              240 } // namespace tensorwrapper::symmetry
                                                                                              -
                                                                                              tensorwrapper::symmetry::Group
                                                                                              Container of the symmetry elements for a tensor.
                                                                                              Definition: group.hpp:37
                                                                                              +
                                                                                              129  Group(const Group& other) {
                                                                                              +
                                                                                              130  for(const auto& x : other.m_relations_)
                                                                                              +
                                                                                              131  m_relations_.push_back(x->clone());
                                                                                              +
                                                                                              132  m_rank_ = other.m_rank_;
                                                                                              +
                                                                                              133  }
                                                                                              +
                                                                                              134 
                                                                                              +
                                                                                              143  Group(Group&& other) noexcept = default;
                                                                                              +
                                                                                              144 
                                                                                              +
                                                                                              157  Group& operator=(const Group& rhs) {
                                                                                              +
                                                                                              158  if(this != &rhs) Group(rhs).swap(*this);
                                                                                              +
                                                                                              159  return *this;
                                                                                              +
                                                                                              160  }
                                                                                              +
                                                                                              161 
                                                                                              +
                                                                                              172  Group& operator=(Group&& rhs) noexcept = default;
                                                                                              +
                                                                                              173 
                                                                                              +
                                                                                              185  bool count(const_reference op) const noexcept;
                                                                                              +
                                                                                              186 
                                                                                              +
                                                                                              196  mode_index_type rank() const noexcept { return m_rank_.value_or(0); }
                                                                                              +
                                                                                              197 
                                                                                              +
                                                                                              198  // -------------------------------------------------------------------------
                                                                                              +
                                                                                              199  // -- Utility methods
                                                                                              +
                                                                                              200  // -------------------------------------------------------------------------
                                                                                              +
                                                                                              201 
                                                                                              +
                                                                                              210  void swap(Group& other) noexcept {
                                                                                              +
                                                                                              211  m_relations_.swap(other.m_relations_);
                                                                                              +
                                                                                              212  m_rank_.swap(other.m_rank_);
                                                                                              +
                                                                                              213  }
                                                                                              +
                                                                                              214 
                                                                                              +
                                                                                              228  bool operator==(const Group& rhs) const noexcept;
                                                                                              +
                                                                                              229 
                                                                                              +
                                                                                              241  bool operator!=(const Group& rhs) const noexcept { return !(*this == rhs); }
                                                                                              +
                                                                                              242 
                                                                                              +
                                                                                              243 protected:
                                                                                              +
                                                                                              244  typename polymorphic_type::base_pointer clone_() const override {
                                                                                              +
                                                                                              245  return std::make_unique<Group>(*this);
                                                                                              +
                                                                                              246  }
                                                                                              +
                                                                                              247 
                                                                                              +
                                                                                              248  bool are_equal_(const_base_reference rhs) const noexcept override {
                                                                                              +
                                                                                              249  return (*this) == rhs;
                                                                                              +
                                                                                              250  }
                                                                                              +
                                                                                              251 
                                                                                              +
                                                                                              253  dsl_reference addition_assignment_(label_type this_labels,
                                                                                              +
                                                                                              254  const_labeled_reference lhs,
                                                                                              +
                                                                                              255  const_labeled_reference rhs) override;
                                                                                              +
                                                                                              256 
                                                                                              +
                                                                                              258  dsl_reference subtraction_assignment_(label_type this_labels,
                                                                                              +
                                                                                              259  const_labeled_reference lhs,
                                                                                              +
                                                                                              260  const_labeled_reference rhs) override;
                                                                                              +
                                                                                              261 
                                                                                              +
                                                                                              263  dsl_reference multiplication_assignment_(
                                                                                              +
                                                                                              264  label_type this_labels, const_labeled_reference lhs,
                                                                                              +
                                                                                              265  const_labeled_reference rhs) override;
                                                                                              +
                                                                                              266 
                                                                                              +
                                                                                              268  dsl_reference permute_assignment_(label_type this_labels,
                                                                                              +
                                                                                              269  const_labeled_reference rhs) override;
                                                                                              +
                                                                                              270 
                                                                                              +
                                                                                              271 private:
                                                                                              +
                                                                                              273  friend container_type;
                                                                                              +
                                                                                              274 
                                                                                              +
                                                                                              276  using value_pointer = value_type::base_pointer;
                                                                                              +
                                                                                              277 
                                                                                              +
                                                                                              279  using relation_container_type = std::deque<value_pointer>;
                                                                                              +
                                                                                              280 
                                                                                              +
                                                                                              282  const_reference at_(size_type i) noexcept { return *m_relations_[i]; }
                                                                                              +
                                                                                              283 
                                                                                              +
                                                                                              285  const_reference at_(size_type i) const noexcept { return *m_relations_[i]; }
                                                                                              +
                                                                                              286 
                                                                                              +
                                                                                              288  size_type size_() const noexcept { return m_relations_.size(); }
                                                                                              +
                                                                                              289 
                                                                                              +
                                                                                              291  relation_container_type m_relations_;
                                                                                              +
                                                                                              292 
                                                                                              +
                                                                                              294  std::optional<mode_index_type> m_rank_;
                                                                                              +
                                                                                              295 };
                                                                                              +
                                                                                              296 
                                                                                              +
                                                                                              297 // -- Out of line implementations
                                                                                              +
                                                                                              298 
                                                                                              +
                                                                                              299 inline bool Group::count(const_reference op) const noexcept {
                                                                                              +
                                                                                              300  for(auto it = begin(); it != end(); ++it) {
                                                                                              +
                                                                                              301  if(it->are_equal(op)) return true;
                                                                                              +
                                                                                              302  }
                                                                                              +
                                                                                              303  return false;
                                                                                              +
                                                                                              304 }
                                                                                              +
                                                                                              305 
                                                                                              +
                                                                                              306 inline bool Group::operator==(const Group& rhs) const noexcept {
                                                                                              +
                                                                                              307  if(rank() != rhs.rank()) return false;
                                                                                              +
                                                                                              308  if(size() != rhs.size()) return false;
                                                                                              +
                                                                                              309  for(const auto& x : *this)
                                                                                              +
                                                                                              310  if(!rhs.count(x)) return false;
                                                                                              +
                                                                                              311  return true;
                                                                                              +
                                                                                              312 }
                                                                                              +
                                                                                              313 
                                                                                              +
                                                                                              314 } // namespace tensorwrapper::symmetry
                                                                                              +
                                                                                              tensorwrapper::detail_::DSLBase
                                                                                              Code factorization for objects that are composable via the DSL.
                                                                                              Definition: dsl_base.hpp:35
                                                                                              +
                                                                                              tensorwrapper::detail_::DSLBase< Group >::label_type
                                                                                              typename labeled_type::label_type label_type
                                                                                              Type of parsed labels.
                                                                                              Definition: dsl_base.hpp:62
                                                                                              +
                                                                                              tensorwrapper::detail_::DSLBase< Group >::const_labeled_reference
                                                                                              const labeled_const_type & const_labeled_reference
                                                                                              Type of a read-only reference to a labeled_type object.
                                                                                              Definition: dsl_base.hpp:65
                                                                                              +
                                                                                              tensorwrapper::detail_::PolymorphicBase
                                                                                              Defines the API polymorphic utility methods should use.
                                                                                              Definition: polymorphic_base.hpp:33
                                                                                              +
                                                                                              tensorwrapper::detail_::PolymorphicBase::clone
                                                                                              base_pointer clone() const
                                                                                              Creates a deep polymorphic copy of *this via the base class.
                                                                                              Definition: polymorphic_base.hpp:74
                                                                                              +
                                                                                              tensorwrapper::detail_::PolymorphicBase< Group >::const_base_reference
                                                                                              const base_type & const_base_reference
                                                                                              Read-only reference to an object of type base_type.
                                                                                              Definition: polymorphic_base.hpp:42
                                                                                              +
                                                                                              tensorwrapper::detail_::PolymorphicBase< Group >::base_pointer
                                                                                              std::unique_ptr< base_type > base_pointer
                                                                                              Pointer to an object of type base_type.
                                                                                              Definition: polymorphic_base.hpp:48
                                                                                              +
                                                                                              tensorwrapper::symmetry::Group
                                                                                              Container of the symmetry elements for a tensor.
                                                                                              Definition: group.hpp:42
                                                                                              tensorwrapper::symmetry::Group::operator=
                                                                                              Group & operator=(Group &&rhs) noexcept=default
                                                                                              Replaces the state in *this with the state from rhs.
                                                                                              -
                                                                                              tensorwrapper::symmetry::Group::swap
                                                                                              void swap(Group &other) noexcept
                                                                                              Exchanges the state of *this with that of other.
                                                                                              Definition: group.hpp:173
                                                                                              -
                                                                                              tensorwrapper::symmetry::Group::size_type
                                                                                              std::size_t size_type
                                                                                              Unsigned integral type used for indexing and offsets.
                                                                                              Definition: group.hpp:56
                                                                                              +
                                                                                              tensorwrapper::symmetry::Group::rank
                                                                                              mode_index_type rank() const noexcept
                                                                                              The rank of the tensor these symmetries describe.
                                                                                              Definition: group.hpp:196
                                                                                              +
                                                                                              tensorwrapper::symmetry::Group::mode_index_type
                                                                                              typename value_type::mode_index_type mode_index_type
                                                                                              Type used for mode indices.
                                                                                              Definition: group.hpp:67
                                                                                              +
                                                                                              tensorwrapper::symmetry::Group::swap
                                                                                              void swap(Group &other) noexcept
                                                                                              Exchanges the state of *this with that of other.
                                                                                              Definition: group.hpp:210
                                                                                              +
                                                                                              tensorwrapper::symmetry::Group::permute_assignment_
                                                                                              dsl_reference permute_assignment_(label_type this_labels, const_labeled_reference rhs) override
                                                                                              Implements permute_assignment by permuting the extents in rhs.
                                                                                              Definition: group.cpp:53
                                                                                              +
                                                                                              tensorwrapper::symmetry::Group::size_type
                                                                                              std::size_t size_type
                                                                                              Unsigned integral type used for indexing and offsets.
                                                                                              Definition: group.hpp:64
                                                                                              +
                                                                                              tensorwrapper::symmetry::Group::are_equal_
                                                                                              bool are_equal_(const_base_reference rhs) const noexcept override
                                                                                              Derived classes should override this method to implement are_equal.
                                                                                              Definition: group.hpp:248
                                                                                              tensorwrapper::symmetry::Group::Group
                                                                                              Group(Group &&other) noexcept=default
                                                                                              Transfers the state of other in to *this.
                                                                                              -
                                                                                              tensorwrapper::symmetry::Group::operator!=
                                                                                              bool operator!=(const Group &rhs) const noexcept
                                                                                              Determines if *this is different from rhs.
                                                                                              Definition: group.hpp:199
                                                                                              -
                                                                                              tensorwrapper::symmetry::Group::Group
                                                                                              Group() noexcept=default
                                                                                              Initializes *this to an empty group.
                                                                                              -
                                                                                              tensorwrapper::symmetry::Group::operator=
                                                                                              Group & operator=(const Group &rhs)
                                                                                              Replaces the state in *this with a copy of the state in rhs.
                                                                                              Definition: group.hpp:131
                                                                                              -
                                                                                              tensorwrapper::symmetry::Group::Group
                                                                                              Group(const Group &other)
                                                                                              Deep copies the state of other.
                                                                                              Definition: group.hpp:104
                                                                                              -
                                                                                              tensorwrapper::symmetry::Group::operator==
                                                                                              bool operator==(const Group &rhs) const noexcept
                                                                                              Determines if *this is value equal to rhs.
                                                                                              Definition: group.hpp:233
                                                                                              -
                                                                                              tensorwrapper::symmetry::Group::count
                                                                                              bool count(const_reference op) const noexcept
                                                                                              Determines the number of times op appears in *this.
                                                                                              Definition: group.hpp:226
                                                                                              -
                                                                                              tensorwrapper::symmetry::Group::const_reference
                                                                                              value_type::const_base_reference const_reference
                                                                                              A read-only reference to a symmetry operation.
                                                                                              Definition: group.hpp:53
                                                                                              +
                                                                                              tensorwrapper::symmetry::Group::operator!=
                                                                                              bool operator!=(const Group &rhs) const noexcept
                                                                                              Determines if *this is different from rhs.
                                                                                              Definition: group.hpp:241
                                                                                              +
                                                                                              tensorwrapper::symmetry::Group::addition_assignment_
                                                                                              dsl_reference addition_assignment_(label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs) override
                                                                                              Implements addition_assignment via permute_assignment.
                                                                                              Definition: group.cpp:32
                                                                                              +
                                                                                              tensorwrapper::symmetry::Group::Group
                                                                                              Group(const_reference op, Args &&... ops)
                                                                                              Creates a Group from the provided symmetry operations.
                                                                                              Definition: group.hpp:110
                                                                                              +
                                                                                              tensorwrapper::symmetry::Group::Group
                                                                                              Group() noexcept=default
                                                                                              Initializes *this to be the identity group of a scalar.
                                                                                              +
                                                                                              tensorwrapper::symmetry::Group::operator=
                                                                                              Group & operator=(const Group &rhs)
                                                                                              Replaces the state in *this with a copy of the state in rhs.
                                                                                              Definition: group.hpp:157
                                                                                              +
                                                                                              tensorwrapper::symmetry::Group::multiplication_assignment_
                                                                                              dsl_reference multiplication_assignment_(label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs) override
                                                                                              Implements multiplication_assignment via permute_assignment.
                                                                                              Definition: group.cpp:46
                                                                                              +
                                                                                              tensorwrapper::symmetry::Group::clone_
                                                                                              polymorphic_type::base_pointer clone_() const override
                                                                                              Derived classes should override this method to implement clone.
                                                                                              Definition: group.hpp:244
                                                                                              +
                                                                                              tensorwrapper::symmetry::Group::subtraction_assignment_
                                                                                              dsl_reference subtraction_assignment_(label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs) override
                                                                                              Implements subtraction_assignment via permute_assignment.
                                                                                              Definition: group.cpp:39
                                                                                              +
                                                                                              tensorwrapper::symmetry::Group::Group
                                                                                              Group(const Group &other)
                                                                                              Deep copies the state of other.
                                                                                              Definition: group.hpp:129
                                                                                              +
                                                                                              tensorwrapper::symmetry::Group::operator==
                                                                                              bool operator==(const Group &rhs) const noexcept
                                                                                              Determines if *this is value equal to rhs.
                                                                                              Definition: group.hpp:306
                                                                                              +
                                                                                              tensorwrapper::symmetry::Group::count
                                                                                              bool count(const_reference op) const noexcept
                                                                                              Determines the number of times op appears in *this.
                                                                                              Definition: group.hpp:299
                                                                                              +
                                                                                              tensorwrapper::symmetry::Group::const_reference
                                                                                              value_type::const_base_reference const_reference
                                                                                              A read-only reference to a symmetry operation.
                                                                                              Definition: group.hpp:61
                                                                                              tensorwrapper::symmetry::Operation
                                                                                              Common API for classes describing a symmetry operation.
                                                                                              Definition: operation.hpp:29
                                                                                              +
                                                                                              tensorwrapper::symmetry::Operation::mode_index_type
                                                                                              unsigned short mode_index_type
                                                                                              Type used to index tensor modes.
                                                                                              Definition: operation.hpp:44
                                                                                              tensorwrapper::symmetry::Operation::base_reference
                                                                                              base_type & base_reference
                                                                                              Type of a reference to an operation's base class.
                                                                                              Definition: operation.hpp:35
                                                                                              tensorwrapper::symmetry::Operation::const_base_reference
                                                                                              const base_type & const_base_reference
                                                                                              Type of a read-only reference to an operation's base class.
                                                                                              Definition: operation.hpp:38
                                                                                              tensorwrapper::symmetry::Operation::base_pointer
                                                                                              std::unique_ptr< base_type > base_pointer
                                                                                              Type of a pointer to a symmetry Operation's base class.
                                                                                              Definition: operation.hpp:41
                                                                                              -
                                                                                              tensorwrapper::symmetry
                                                                                              Sublibrary providing classes for describing the symmetry of a tensor.
                                                                                              Definition: group.hpp:22
                                                                                              +
                                                                                              tensorwrapper::symmetry
                                                                                              Sublibrary providing classes for describing the symmetry of a tensor.
                                                                                              Definition: group.hpp:25
                                                                                              diff --git a/tensorwrapper_cxx_api/hierarchy.html b/tensorwrapper_cxx_api/hierarchy.html index 632f066f..e060cfaf 100644 --- a/tensorwrapper_cxx_api/hierarchy.html +++ b/tensorwrapper_cxx_api/hierarchy.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              @@ -70,52 +70,63 @@

                                                                                              Go to the graphical class hierarchy

                                                                                              This inheritance list is sorted roughly, but not completely, alphabetically:
                                                                                              [detail level 12345]
                                                                                              - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
                                                                                               ▼Cutilities::dsl::BinaryOp
                                                                                               Ctensorwrapper::dsl::Labeled< ObjectType, LabelType >Represents an object whose modes are assigned dummy indices
                                                                                               ▼Cstd::false_type
                                                                                               Ctensorwrapper::detail_::IsTuple< T >
                                                                                               ▼Cutilities::IndexableContainerBase
                                                                                               Ctensorwrapper::dsl::DummyIndices< StringType >Class to help deal with string-based dummy indices
                                                                                               Ctensorwrapper::symmetry::GroupContainer of the symmetry elements for a tensor
                                                                                               Ctensorwrapper::dsl::PairwiseParser< ObjectType, LabelType >Object which evaluates the AST of an expression pairwise
                                                                                               Ctensorwrapper::sparsity::PatternBase class for objects describing the sparsity of a tensor
                                                                                               Ctensorwrapper::detail_::PolymorphicBase< BaseType >Defines the API polymorphic utility methods should use
                                                                                               ▼Ctensorwrapper::detail_::PolymorphicBase< AllocatorBase >
                                                                                               ▼Ctensorwrapper::allocator::AllocatorBaseCommon base class for all allocators
                                                                                               ▼Ctensorwrapper::allocator::LocalCan create buffers that exist entirely in local memory
                                                                                               ▼Ctensorwrapper::allocator::ReplicatedCan create buffers that exist entirely in local memory and are guaranteed to be the same for all processes
                                                                                               Ctensorwrapper::allocator::Eigen< FloatType, Rank >Used to allocate buffers which rely on Eigen tensors
                                                                                               ▼Ctensorwrapper::detail_::PolymorphicBase< BufferBase >
                                                                                               ▼Ctensorwrapper::buffer::BufferBaseCommon base class for all buffer objects
                                                                                               ▼Ctensorwrapper::buffer::LocalEstablishes that the state in the buffer is obtainable without communication
                                                                                               ▼Ctensorwrapper::buffer::ReplicatedDenotes that a buffer is the same on all processes
                                                                                               Ctensorwrapper::buffer::Eigen< FloatType, Rank >A buffer which wraps an Eigen tensor
                                                                                               ▼Ctensorwrapper::detail_::PolymorphicBase< LayoutBase >
                                                                                               ▼Ctensorwrapper::layout::LayoutBaseCommon base class for all layouts
                                                                                               Ctensorwrapper::layout::LogicalSpecializes a LayoutBase for a layout describing how a user wants to view the tensor
                                                                                               Ctensorwrapper::layout::PhysicalSpecializes a LayoutBase for a layout describing how a tensor is actually laid out at runtime
                                                                                               ▼Ctensorwrapper::detail_::PolymorphicBase< Operation >
                                                                                               ▼Ctensorwrapper::symmetry::OperationCommon API for classes describing a symmetry operation
                                                                                               Ctensorwrapper::symmetry::PermutationDescribes a permutation of a tensor's modes
                                                                                               ▼Ctensorwrapper::detail_::PolymorphicBase< ShapeBase >
                                                                                               ▼Ctensorwrapper::shape::ShapeBaseCode factorization for the various types of shapes
                                                                                               Ctensorwrapper::shape::SmoothDescribes the shape of a "traditional" tensor
                                                                                               ▼Ctensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >
                                                                                               ▼Ctensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType >Defines the API for all SmoothView PIMPLs
                                                                                               Ctensorwrapper::shape::detail_::SmoothAlias< SmoothType >Implements SmoothView by wrapping a Smooth object
                                                                                               Ctensorwrapper::shape::ShapeTraits< ShapeType >
                                                                                               ▼Ctensorwrapper::shape::ShapeTraits< const ShapeBase >
                                                                                               Ctensorwrapper::shape::ShapeTraits< const Smooth >
                                                                                               ▼Ctensorwrapper::shape::ShapeTraits< ShapeBase >
                                                                                               Ctensorwrapper::shape::ShapeTraits< Smooth >
                                                                                               Ctensorwrapper::shape::ShapeTraits< SmoothView< T > >
                                                                                               Ctensorwrapper::shape::SmoothView< SmoothType >Wraps existing state in an API compatible with SmoothView
                                                                                               Ctensorwrapper::TensorRepresents a multi-dimensional array of values
                                                                                               Ctensorwrapper::detail_::TensorFactoryObject which helps create tensor objects
                                                                                               Ctensorwrapper::detail_::TensorInputType capable of holding all valid inputs to a Tensor's ctor
                                                                                               Ctensorwrapper::detail_::TensorPIMPLActually implements a Tensor object
                                                                                               ▼Cstd::true_type
                                                                                               Ctensorwrapper::detail_::IsTuple< std::tuple< Args... > >
                                                                                               Ctensorwrapper::detail_::DSLBase< DerivedType, StringType >Code factorization for objects that are composable via the DSL
                                                                                               ▼Ctensorwrapper::detail_::DSLBase< Group >
                                                                                               Ctensorwrapper::symmetry::GroupContainer of the symmetry elements for a tensor
                                                                                               ▼Ctensorwrapper::detail_::DSLBase< Pattern >
                                                                                               Ctensorwrapper::sparsity::PatternBase class for objects describing the sparsity of a tensor
                                                                                               ▼Ctensorwrapper::detail_::DSLBase< ShapeBase >
                                                                                               ▼Ctensorwrapper::shape::ShapeBaseCode factorization for the various types of shapes
                                                                                               Ctensorwrapper::shape::SmoothDescribes the shape of a "traditional" tensor
                                                                                               ▼Cstd::false_type
                                                                                               Ctensorwrapper::detail_::IsTuple< T >
                                                                                               ▼Cutilities::IndexableContainerBase
                                                                                               Ctensorwrapper::dsl::DummyIndices< string_type >
                                                                                               Ctensorwrapper::dsl::DummyIndices< StringType >Class to help deal with string-based dummy indices
                                                                                               Ctensorwrapper::symmetry::GroupContainer of the symmetry elements for a tensor
                                                                                               Ctensorwrapper::dsl::PairwiseParserObject which evaluates the AST of an expression pairwise
                                                                                               Ctensorwrapper::detail_::PolymorphicBase< BaseType >Defines the API polymorphic utility methods should use
                                                                                               ▼Ctensorwrapper::detail_::PolymorphicBase< AllocatorBase >
                                                                                               ▼Ctensorwrapper::allocator::AllocatorBaseCommon base class for all allocators
                                                                                               ▼Ctensorwrapper::allocator::LocalCan create buffers that exist entirely in local memory
                                                                                               ▼Ctensorwrapper::allocator::ReplicatedCan create buffers that exist entirely in local memory and are guaranteed to be the same for all processes
                                                                                               Ctensorwrapper::allocator::Eigen< FloatType, Rank >Used to allocate buffers which rely on Eigen tensors
                                                                                               ▼Ctensorwrapper::detail_::PolymorphicBase< BufferBase >
                                                                                               ▼Ctensorwrapper::buffer::BufferBaseCommon base class for all buffer objects
                                                                                               ▼Ctensorwrapper::buffer::LocalEstablishes that the state in the buffer is obtainable without communication
                                                                                               ▼Ctensorwrapper::buffer::ReplicatedDenotes that a buffer is the same on all processes
                                                                                               Ctensorwrapper::buffer::Eigen< FloatType, Rank >A buffer which wraps an Eigen tensor
                                                                                               ▼Ctensorwrapper::detail_::PolymorphicBase< Group >
                                                                                               Ctensorwrapper::symmetry::GroupContainer of the symmetry elements for a tensor
                                                                                               ▼Ctensorwrapper::detail_::PolymorphicBase< LayoutBase >
                                                                                               ▼Ctensorwrapper::layout::LayoutBaseCommon base class for all layouts
                                                                                               Ctensorwrapper::layout::LogicalSpecializes a LayoutBase for a layout describing how a user wants to view the tensor
                                                                                               Ctensorwrapper::layout::PhysicalSpecializes a LayoutBase for a layout describing how a tensor is actually laid out at runtime
                                                                                               ▼Ctensorwrapper::detail_::PolymorphicBase< Operation >
                                                                                               ▼Ctensorwrapper::symmetry::OperationCommon API for classes describing a symmetry operation
                                                                                               Ctensorwrapper::symmetry::PermutationDescribes a permutation of a tensor's modes
                                                                                               ▼Ctensorwrapper::detail_::PolymorphicBase< Pattern >
                                                                                               Ctensorwrapper::sparsity::PatternBase class for objects describing the sparsity of a tensor
                                                                                               ▼Ctensorwrapper::detail_::PolymorphicBase< ShapeBase >
                                                                                               Ctensorwrapper::shape::ShapeBaseCode factorization for the various types of shapes
                                                                                               ▼Ctensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >
                                                                                               ▼Ctensorwrapper::shape::detail_::SmoothViewPIMPL< SmoothType >Defines the API for all SmoothView PIMPLs
                                                                                               Ctensorwrapper::shape::detail_::SmoothAlias< SmoothType >Implements SmoothView by wrapping a Smooth object
                                                                                               Ctensorwrapper::shape::ShapeTraits< ShapeType >
                                                                                               ▼Ctensorwrapper::shape::ShapeTraits< const ShapeBase >
                                                                                               Ctensorwrapper::shape::ShapeTraits< const Smooth >
                                                                                               ▼Ctensorwrapper::shape::ShapeTraits< ShapeBase >
                                                                                               Ctensorwrapper::shape::ShapeTraits< Smooth >
                                                                                               Ctensorwrapper::shape::ShapeTraits< SmoothView< T > >
                                                                                               Ctensorwrapper::shape::SmoothView< SmoothType >Wraps existing state in an API compatible with SmoothView
                                                                                               Ctensorwrapper::TensorRepresents a multi-dimensional array of values
                                                                                               Ctensorwrapper::detail_::TensorFactoryObject which helps create tensor objects
                                                                                               Ctensorwrapper::detail_::TensorInputType capable of holding all valid inputs to a Tensor's ctor
                                                                                               Ctensorwrapper::detail_::TensorPIMPLActually implements a Tensor object
                                                                                               ▼Cutilities::dsl::Term
                                                                                               Ctensorwrapper::dsl::Labeled< ObjectType, StringType >Represents an object whose modes are assigned dummy indices
                                                                                               ▼Cstd::true_type
                                                                                               Ctensorwrapper::detail_::IsTuple< std::tuple< Args... > >
                                                                                              diff --git a/tensorwrapper_cxx_api/il__utils_8hpp_source.html b/tensorwrapper_cxx_api/il__utils_8hpp_source.html index 2ce355a3..d11219b7 100644 --- a/tensorwrapper_cxx_api/il__utils_8hpp_source.html +++ b/tensorwrapper_cxx_api/il__utils_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/index.html b/tensorwrapper_cxx_api/index.html index a5e7bdfd..b7c6a38c 100644 --- a/tensorwrapper_cxx_api/index.html +++ b/tensorwrapper_cxx_api/index.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/inherit_graph_0.map b/tensorwrapper_cxx_api/inherit_graph_0.map index dc851dd0..7629c37f 100644 --- a/tensorwrapper_cxx_api/inherit_graph_0.map +++ b/tensorwrapper_cxx_api/inherit_graph_0.map @@ -1,4 +1,3 @@ - - + diff --git a/tensorwrapper_cxx_api/inherit_graph_0.md5 b/tensorwrapper_cxx_api/inherit_graph_0.md5 index 921f61ec..13b1bc47 100644 --- a/tensorwrapper_cxx_api/inherit_graph_0.md5 +++ b/tensorwrapper_cxx_api/inherit_graph_0.md5 @@ -1 +1 @@ -676ffc26215f4f6c2af0b4de7c1d352d \ No newline at end of file +b76b880ca98b99288369df391019c86b \ No newline at end of file diff --git a/tensorwrapper_cxx_api/inherit_graph_0.png b/tensorwrapper_cxx_api/inherit_graph_0.png index 95cba2cde432c42ae51271ba9dc3f34aace05ca0..6c7ca789045bff3aaa6463084dbf586739dc5021 100644 GIT binary patch literal 4229 zcmZ9QWmuDM8^$NnA*C=%Qd(LXg%Q#MqBIhUgpBS6Ne6;Rx8wvSB1j`JX^@f@7!87x zk<#zY|KqzI+m2%&o;~+7{spJsU{)RZ)T&h%+z?;-BcWIVrMEzT0yMUrHZej6n1`g z;p!W_E!1=>DA=>wZ08-Nur9wIm^<`^HE%t8{al7LCZ^3w#FsO0f=~piKtU%#9+gy; zZ!Lm&O+XQ0&BZYo{_B_dtC^Zjlc^3XPr2si<|>;`(ps@fIUNlRlEc3X3oq0}p>rwC z&GIX2YmO;Sa}K6Gy}g@;5l{qH*Vx!NYxR{b+6qcS#z=@(Hy##&s&#~yP~sLsE|u7* z@~f+>`@8n{_rHI2o^5>9j0z>7Ko{+Iv5kD^Qd-7h6A%dU$DW-VYBlSPYpbi)BOg?A zZ1tqV<{Y5poSUx0ucM=vj}}6@&yM%lsfaO~nTF0uP5zWP_5j|mEL4N5s^eqEiGhyeR_#@ z1}rQr%)BKli;03o_PvmKy`qkej^UFhs<47Y?5_r86_woF+?Ayz7!rw8QF))3s3>kX zFzgrTl$n{i(U&5yvc0XHk&)rpZER*XmLdMKtfVAr;?uK7G_kMy`uqLH_i$+?I?sX* zZpp~VxJlXvAK`EX!^3*~0s@8M;dt&oK0FXZef@T)fv>1?_6NSczIvvnnLqw2#F~7u z8>uk)Qqw1Q$6ixYlNgecn(F>yaBz?-Nqu9c)=6c5|6!HevKp%Oe&U6vczJOuJm~|2h0nNQvDo*yxw`l6-IK5%X48E1Xq|a! zYfG!Qx7U33Yr^D8mP>1ajK^9T%NPFx$684g3T1BfyL^31SXr{RBtJhCqGw{lVC22K zq9J7e4}lc6_dG5T#@8twaDXqgQb4L|Ya(R+PkCp~9#CLXgVOCabx_S5G8yjW8D0U1DJ*sS3!-2{|rQpopZA9_$uG!ey78vr6 z&-ARiSN^S>-S`OZT_Rsm*AShVT9cwHg8%R#L)!lb+tgnT!+^9lTq& zM1_))(ltgVrjcL25GN=8WrqBqG}@UGB%-3C^#MmhKwDL>rp55_@vWw+tYuHLrQJ9j zot!=g9Ko@uB~bpNBCg6N1ovHAN=6Cd>xATrmX^0AUFIvsh3?!TSpSiOjv%7kIhcH= zj5Orn;`(kC6mVYb!rs=~OENz{?|XTEq_3}kEfN+sUT);!e2hT)Ssb4f)Y-nvH)(Lc zlW<#sl#GlFp7LT6WdXhCcoPo~k1a*>v*)IP%EO1~fq?<55YYcFOnU@16&1wE$?4U6 zGsAkECY#UDPpv2XU2j<_&CJZUXKJ-v^6c#F(!ntX1_yC{0-qp|v-5L( zGczXyO4fvd0c~a(cYNXI9lTE` z3IDX{r>CcZ<3=PW(}stKQ{B2%{M5x>dvL37lCtIYpoVS$9Uk-%&+jImzi=Og!qbsr zvTNjOE>Ztwi>$a5LzmmZ@9`Vs;{G?bbbt>m7&FZLVXz-ARq~Oe;IheF(!TMV-k9SuIyQyMT5__LtnY|(Z zlhWKQKFn6$;qVi&i>N3drs}Ap}f=l1dp8*$%WJ`f5tV*UxWpxIo!F ztF28jrqc$*0YPVHr}1YS0^nIL`%nrBim4_a;djZ&Nx8Z645etY6wS!TrMm30vW&5@ zvHr8WxJN!+ATM>?s2CaJBFX687XmUr7Wu>R54?LWH z+0);z3?5CV&W?^SplqRMt>hpmQD-}gXf_TBNy#N3y{QHd9+2Y@`5+0z+qd1h3IVQv z=M}i_+;Q`Q07XQeodsqq1kiy}UP%}XV14&DaPC*r)db63@#rFrWIYRu_?CbpSb-kq zjc{vdVWDmG8M>PgGSwO+*Lt?AWoTr?DKBqc{w?I<_@Q%(Fem5r*4EZ+>4{;e$J#(x zLxT({De2DGqX)RY69fXG;^y|*l&Ywtq+?-$RV)J`prxVFetB{9fHy@GD4GalT3J~c zCJ4)|y661TNC3|=nSk&!s==o@bkoEWN2_@zk^9JVS6}S&Dxs%%B!r} z@lcj|S5m=ajSaG~;gEEmd0lSw3C5kg*m5+FKHgg&zkMmY#QM0HZXoXgD+p)b-4&9n z*!cb1QP<4Qo*dlSiE;JwE4F(ZaD-*&;UVHkQrDtb7^xwBJn9_5EiO(A#OjOdq_6$W zMMGj^V*`>Y-`i{*E*e4Y3ley-g@Xg8MY5fTA!Fl=s_ML(alH)_(x7VUw3< zc5h$?U$`|1!JRJC`D?9aY8*tQq`HBpCnY6??d-S;4fPH~qYS9`Mg8~fLGrVKrt|Uf z#Uv!CU0$4z&v;5ycD(m2j|>I%`qk`5D`15Bj{AIFg0|hB|Pl$T6ER#QjDyQ`I^PcdUa*r|Uw&5K%n)fy9DNn@%wl>l}xf zSI?u&O!!!;qvP`!zq_;3y7%23=Zomdpp^S85>Y?L8YQnu6+z(+g)R|CS0W)KbdSTh zd^?}8N?rbFi4u<@<8tUtZ0S0O`G&C4K zd-iF(r1BgwJA*LaQ!Qwvn2(KVZfW6@m(K=ti>#_jAoy57FNIBwl+bwJXdmlr|GaO~%*v@BVXqTGpF5>YqN zCz8HHLqn6Ki6C$epsKE_sssc?M6?i7kj#IV{TUT>SARXJF;WN&&ARqZewMoHTNx z-JwHFBg|=mpni^z7gSfjBg;PI4W|SmGozNb?IPEuHn+6A!NkO5xja|zc767%v+~oY zbbvcJI5|P6KbcpWXWAU|VZ8s_VGwjD?8_JNtL4#ia}-`mJi(=)z;bYK0M;AG?%p15 zvo!B;GxXYt@9@;jj16w7Q(as8HDC&`yd-q6R&CBavc6Rno z7n2K{pdfkMSP+Dq8qh$2UJT#kk{Uigsa3TtAg=FVGkiN~8BlrsP#lo9xMcKUWn&iwN51QUiF6 ziH&WS``dh7OG|4YTP8V;#v0QW29@^}`RcMT&v~=Gg_=%ch!|93d$w+9W7$8Gqh4yX zlpYU?IBW}#Y8RpT|HWF?Xh`-$rHzO`*%!OPQGQw~r{H*<*0&Iz2EWu@g3W--Mf$bx^`Y?{?0SzvA)(#GG;Oe1akAyLvxQWng0zzHe+q7E^9nZ_)bb$ zpn6Sm`SNn%ZhCllwlb$--f*1wYW9f&wjY;!5bz=S;D=otluDIk1n#*8A>mrqP$5mG zQk5wTe?-E?YS_sWPW7HJ^48nLYHe-pU9_1slPrbmZa-gMdtaZ{3noijnxfI4Ki?+v z88FLI?8D^(_j#C^nVasF3hBa9_V@QG*zf}*_5$P)sCBaczc0TnjVe*Mb;#un_JpXk zv@|?SX??x)d)5bq^;_5f+$?dJ!)XexMCCEzm2PFEcG4D z`8ogJ8m_Jtqe%ZhQ=w14IxZk4t-2O_VxhL3ggxgua{ll7mI_Krh#+2P`wkRLVuWIu zy6%5xXD!0R!{7ETg$`r8rl*-|Yirk@Wsc0vv0>^xqw?}N!d1EC<>kHh7Bz-88{^Vl zbiKX3y?lL5zZnJxpKM!##mfA2u>Ix!AH&0DAHU}wm%Xq;#H)pb@DShWj*jkum2BFs zudnyNXOk=WCM+x*7o*Po#MroNd+vLml>1Egub>0HiII^GM!SK*!T5M4@kqaY(tKxiwO8{!Yrlw9^ACG5CRcZNhakl~G#U-w-XQ$h=caR z?Chp5&JHAxceHtvYb(rZ#LUdh(o$24$NPGFBX2V>e0_7WUE9zg!%Ii@)YzD|^vI%D zN3ulW&GCH(1_lj^@|w$wi>b~C@=Oy!2UAni0Te10&t`CNF#EX711O^FaD8lgp({$V zb(IW48{0FNzS(?N^*l+D#!*d;fS{e3h2=I%R#rCSF~7aE$E;19f&m0~vSU{131o(3 zsB_y&N=mxz&Ue6(mZoNA;*d%t@=0xFb8|MHjsNznp_`nP)RVHj^mGOt9UZ%q?KwNO zNDA8*FJ8Ef6l#F;ISzj8xy34z?_5#cRu0tnF(N8T=x7@0o@JEvD4AE_!%KtB#`o#S zjHdGPau_7TM9@@NNKnv-M^^;*N5IyFIqFJ3<1i_^*~i7z6%XR)=QqC>0N(eZ(2h&o zi8t=pT|*97spt2-d-w1lTU%RRetw$z`nMD>4~+u?18t8s(ELI|1iKec{X>-@e0+Qw zzlRbEEb|oD#U0~}bX8PT_yq-3y}hA9K|xfktZ@g};U%CiegOfM$Bz?@-k`4n0|R$= zci*O_-VTswm-3h;iBT^cclZfqxi=c#wm*i&d&U$?vas^i+`rSHoROR!zUnE*x5;vO-yQ&QNwcV1T)fpqlru%YY+j1OM&XeO}7fBM8j z!6HSG%&TYQ@*B}+BG^;sfZCmQ%3A;)o`_m`sH(As0{^yu>T0>x8gc)O{Pxc;*Ne zX%A)IWED;-n}G~yhEj+kH#hf}kiY+cor($z@xS};XnJ^vfIxaPYh`Q81&@ubeSPF2 zBO{YvR73!51LR?p^Ao@;NwmF?*7Mfq}=*p254jyFG9^`ue@Ijjt9K7D7`}=pORW zghxcYuv7{<-L;B0v#?;j&X%XdMVqd`CIi_IXg4Qo`U=#dfHxDkVUT(w=_uB+A)!fN zC+3RVdb#p}?e93xU;Vwh#Jh}!Q6Sx>-~IUUkX1f_DmOQm|K2?fO-&-dt(hB14++am z;AO_8FbvZDS@K;7AtB-X48oNvM%~%Xt^0Iu$$PPz)comFJV-YTT3A#Bb)S*g4Uiwm zlBSG_iBa$vo1JBCZEXd9*~Q}7j0edOce?fA!-u9|RO1}KR?GE+>CoE+#L}mLqz_tJ5WRjC|m} z`kn;5NeRCLwKq6{dR@IShJuc%^9>GCdTosRF0Wj2c+5J#Rc?>c<&Db93OgRE;Up&~ zFNVv+(%*ZBKp+f*gs6lLzQa>ThpdCVsR&V zoT59@mF7uglnJ6Bj&AUadP3|dhI4)S?}n$xAZhH&Ukh%Q#2}Y+G0hdDD>9!ye{P?s zdcLr>77e^*YI@qX|HEC`wzg1tvzrgBg3;LUz|Dz!ZoitDeg~hhU0vZkd3bm@`S^$- ziCJ0X1_lPKa()zX(3G?^d`M?km#wXBXnDC{wydvqsg9o>hVX5XRsswpR%ch&uF+y0 zgoi7--1Kv0Ww(LSWjH80y4f<+U=au{*}gBZ9v!{;F$5vA%o|W^whB zxBu71y7_iR?y6-fa!FY*m0Li7l%1V@_vA$D`E!=KuU`#~jl)7NH?2X+ojAL^dDtkM zxKwNqeD%=7#f3~0XKJdTR;ti2Py~3!z`rzjImr_4R?9Z@4we???pw{AF$Wm18r_I_*a=iog+qa9y-=n;z zrU9LljAZ`9|0va zqB*4;V9be2{$#b~wW)dT-dz~T6sIB~oGV}Q5~xLE0&*2Lm0dP!ehgi)QF2@n%d@vL zHu0cx5lF>OVh&d9I8up}u#2M3+A_hx(pjiwA_nD6#lb--EiG+tZ{I#LLamb~+_Arc zg1%ZEU>71|8fz?%SM1ZtJA66DCm}&sP*4Co`-Wo?oWmWpZfs9EXvP^P*YRi zmy|ShDXQ+C0NjFOrG#XB{AjcFEaVhN8CF)trk~yLZmiUEzMq!qG>BbR_VraX%*iRN zuFkS$roJ^>#v6ZO;Smug#GtQ^SAoqbM`G~1ph#awH1!=SHn#Y+HRsvpK-$dAO!Fom z0f1b!L1!-k&I+P8m(Q<=HZ0iI_C`w;L!zFVn@4Y9>Wj+D$%bXp0 zdg?(dEx*$P-s%CoJbty~+uz@RdWOy01NGt$rry91R#CI((}O*j$4avkQ&zWgg#6Kb zea_r`G{JHox)3&u?dV=cpPf~SNC$soLw!8-$@U$U*eUl>xK*N`13x_t0I|6Qa<;Rx z^ILP_Z8VPM^DA`X651?S@fAKkzKy&4O;B4{SXg*?c?DBDXX+ftL8T`EWYu$W7gozi z$)Ok?8%wULs`|wREtmrcFKeT_udk@M_yzzY5>nERcQ?pWCY-lCYsM#!sG-HwGW>d&8} zHDHTkr?`Zu7*fiTl3`l@Kz&SYCCGXdYk|K^k5*;o56(!)$U66y`XsMD{V*RgwPUQY zGQMYhSeQ;M{*BKd_Y0`Bb=le39-Bmk-Sm@ZxXl`=v=95V*YZ7jHuA_58*E_S;p8D)L=TQ85Fk55c2t`25tZ=y}-T-@B$y}Z5@!hUvy z5vP{to|JUbn1Mzhva#_2y|DRP@1jfDW+F!6U7(IdES0h$935|ffbKYnDMnwpvqqf~5f4aS`# zYHHX0A_VBjpbr1isdcMHk8HXZb3z{K=%|6F2dE<@Ew%?%{5#&SstG+cMIt05)O>Zm z33sp*Iy-cVD6R$#k=OR@1A7OD0+92@O7zrTzO3UuJ2A5^691XNNe$*ial!Y#&%n)~|tww*{yI0s04@HnR$ z)oC&zlYMh6{1$r`@_ipv;=sTM|DsUn<5#}E5eW&DQf^cENLV70Og$+nN&7|!qUA|y zT3Y1su^-TG5kMW#$_CayOT8SKG#^P;3_mn0Y*=ur~s<0%3=e zPn!Q){X+wz%VnUt6~e_HD3Jp4t6dNLwzGRNOyDx2Z%IX%-XE9A2nHmuWq` z_)XV?n4#-|35nK!`Bgh3oT`)huC6M{LiF|r+M@2_b4o6P_}oJ-O%3j(d4N%ox5B7^ zjR*iOYoq?V^pNd;qyGOUJfx6iCRq|yl0fPUrAzsEl~~CjGccTjJkrotuU55r_a86E BWjO!< diff --git a/tensorwrapper_cxx_api/inherit_graph_1.map b/tensorwrapper_cxx_api/inherit_graph_1.map index 7c32fd78..2b468138 100644 --- a/tensorwrapper_cxx_api/inherit_graph_1.map +++ b/tensorwrapper_cxx_api/inherit_graph_1.map @@ -1,4 +1,8 @@ - - + + + + + + diff --git a/tensorwrapper_cxx_api/inherit_graph_1.md5 b/tensorwrapper_cxx_api/inherit_graph_1.md5 index e99d669a..fcc39e7e 100644 --- a/tensorwrapper_cxx_api/inherit_graph_1.md5 +++ b/tensorwrapper_cxx_api/inherit_graph_1.md5 @@ -1 +1 @@ -025bfd1ae128842c755d2d0339ca37b8 \ No newline at end of file +faa39c1035dccbe6783c86d56cf422fc \ No newline at end of file diff --git a/tensorwrapper_cxx_api/inherit_graph_1.png b/tensorwrapper_cxx_api/inherit_graph_1.png index f53b35cb31e9219f8470b18facc6d9e12703341a..69361c48f23374dab754cc7dea49e5513aa165ad 100644 GIT binary patch literal 21054 zcmdqJbyQYe*Ef2JsDOZ!3P?9dcY{bb5&|M6oe~0)DqWJ&p`^5gbcl3IOG`>4-Eby8 z&-=W2zVrQY&KPHW+>C*@UhKX0+H1`@e=%2}vZ53Q8X+12fxwWF7Jq_3AfY1=*AOU3 z@Hfi6RrT=WrlFjaIO6i^zmIj9aFcV;DO!-jE?p-S{)z|W7hWYX{> z9PJ%4{K)yo|H!Hr=P4;EiMagvXgGoJ^Q)+Vb41QHd7R8bDM zO^uB5b?aRJBwj}--)o}08n<$Q0TxvZ^YfF1jwtm!4Fmk8r6oTs3v+YSJ9kW3@lQ@p zE-o%IGc&~%?gf8!_^rso!a^8oVruGqdSIP))*eBrp`pRg&u_&oKuhaSmtRA~- z_Y@O**U%v1XMl&+(%EToxH)A+;{^BgICbJqR7me9A|@Uj7%+cA0I%vk}=5}g1S{U&_bt8LYzMOx2D6p!qagFX7vSa9)YLRGF)1%E-<+;XRLs8Z`+c-XFE1x2Gb^jS zq9QvxTS`(A=XN}oWlUZV$er}p)AbQBjCSG}A?((3v4jf{^kzHJ_^*l$+0 zx@tkN$bLdsT`lBxp!w_>ZXT9Lw@K-JMondPb#-OsU+e23Sh+bl5yd}Ao@r{c=sbU} zl*CJZQTg=teP*4?m!Fb8TtjreIJyzIvt#e0EFp1YTa66shgn%|tsqewF%c0a5wB=8 zuGCE(=8DgsrKP0&KZ`OjGK!bbY`F-2`%F0Sh zOAEFezmifPrPO<@yRJj`Umg9KrIw2cA1=3^kgVr4AE2U`mS&8dk}}Vuyo-lN=98P7 z8<6e1IZ6J`C!|Fd9cQlY4cWDCW*q2>Jp0NzIw4r>TwE=z=uND5?|#V2%8HD{nN#Oa zRuud(Fd&BVwW8vgme%uX$Cc7PVFxECObiTgvM-1CgKQlQPK?<3x*7`q^&qAm70vE!q|D}DCt zA>kSl5|UA^5Ewybo$YM`5zpGdz>ZIk{n0TnXcZE~N66Qns;e_SD_`I36Di8i$3ydFV`FQsyz%y@ z6mC#ZP65cukTQsJ!J+`V00luqjR z?%ms6>bZ@II{T8>+S+<-Yz&rqa&q#(bYgULnaAnDyLaz4H*MaE{+OO-#zTvj&+_+| zf;A6ge*OA5JJoY_ZOzikit*wgp2L)ziz`{c`8}`WpM!(x3ft6W10OoWS=Yatn1Fx) zhM88>+S)1%;jOCb_2tF64l@rctFm_0nMXA5OSrwzi`I}=Ya_!$LwI-ZT2GXRekOZS zoc2u9i3Nd3@BD*;lgMLR|7tBJCgvX7A&s!G=Uj6j>`O;}kMom#a&mG)Lc)P*0m~6a z4-XGLJ-zGKz2oBIx?)*WbJTp44Gk$i$R=}JCqzX><>Z*VyVo{XSelu2C-JGOsyeI= z<)Dz0lBQ;5(U?E_J}_XvHC@*g!<61{hK-HA`@8SH$E%(ME&-=?RyH=+g5P@*dD=oB z(5BZadEmvy#r+%@FtoPb*xG8aUz9D;88?)u__D5xKuF$2zkK18E~ZoO9*>WwuK&RA zW^hYTNC-L_T4bra5BU?{$BHfpzvNjvs%r>@DEUA00R5&s58=Yn(m@Up0ugKZ?f2@m&>jcGy(!{7iY(g{LfWY2YY*M;IW#G-yjgI(r{%_6kmV;dEVanZJViT zV=Jrm%}vkqlUH-pA|fITA7JWKH8k$QjNH9T-IoRdoLRTlWuZNyva+(#vRs+2*6q+n zT3XuCvFs?X!e+{_bPV3r9a3Q{GqcLqyIBz0p6YpUxooT$Koo_ztDvMrTEc~dz_Y=> zg=(% z9UYw%5iiAPX}K&WHm0hw+L?^|EV@=x)gK!5A!&^d4LNSlwFoi%;;nbu82|C(hxe^J zib=dGa&ld*tu&mRdwVN`;=UyG&6(6aT}`Bc5fX@Ho|kIoMdcXxNU zW*YP~G`Q{Nn!kM$ohyS7J`DRGLXnW5AmM`tEV{LtYHEAKPxZ94wD!%u%y$Rcfp1!`Kf`aGu?#F2o!2#z* zoZ<^uD9FCPzKe^C@bbi~n*TKfVq%X!zZxeeb#8iZchII{8OR%Q1o$Z4y?eKL@Z(1^ zqPD2WNb$9B`etKVu~^voWvo+QNB9+~U{gWv)Hg9P zv9x@sEuG%~{rh)DCMN0>udTOYpIGC&jk{v7um56?G!M?Ej*a*@(cW%0-x}I*ak2($ z(2R3@AX6@0e#z@%mvq}rP(FdPV_;zC?0A=*Q0DJsJeQNptE)?{AO!Hdvqn67>8;O>4FK`F(G zp7;4P3JOXkY|h7zuZOik6w{QE3Czp0EL!_+SDTSRMNZz>*mzAw>F*vAeBF>OACE&! z{9HrB2_h`i1api@bm&d>r<*mf)BA)^Lz-qCot!k()rDOCh#FcNQ;C@tYi28@+CVB` zVwx&34qmRg8Z#6Ckd*amoR~yJE`wR>v4nOIh!D*n-nRYh1`ZnXjf36=(RY4+ewmqz zJBwYVrKKItQ!d2 zUTkSeiSW@c@8TD2xp{dU@!c)K_o2?kV&UWEO@btr4|}W1ab*Dh{rv+TW;(in%0{mD z^RTR}xSu_H=GGZaKjU#oj6)Fhv-;H<1ftJs48bj~M}G`1wdpWIWDu%vp*a~}`41La% zGd@4Ly}Fu<^j4YdNREA~kXiT`zb(Ss`#8J;8$lLd5+?Ho`xoiu%Q)e>&gKlL3!Cg} zrF@nj(KVAxBR&d}Nx%8@F_)pN#G=;AE3dTluHX42?cXF2*kGE!Gul4fMI0u}ik$uKK=x-u(i>UlzfMHFo!KW|*A<~>Zz zrI8UwGzklxYY23b8+!7wDJhdN3N~+@hd%wE6jxzJ5!K`?NL=ziJOR9NIWCZIQJR+)Z zW*VBBb;e!8QekMU=;zzc0m(wAETpL&M#RE;Q0geOhD=VDY}#B4%`!JN6|_#M3J(4d ze0#7xAnP+Tf^`m{Rglm8(f%5rp1WOg+uE<)8z`Ujyv~b4l0BU(ehugGXlb>G|D>b) zjDu!JNlExRe0I5=l`{j=;0^+R77~7orOhVq%U`jTmHsbUl~aYMs4pKp)8^N!&nLrV z-`S}=K33e?_GtA7+7II;_rQhsLb}hQawn2Tm?v$Nzz0Q;6Q%=r##SBAfX>e&t zkb^^)g++q88XZg^g+A7$rA01=e&RL!ZFpbUdAUJSBu0X-pFGi<$<38DV809@7|iAv z8dAfXl1D@nBBQcuhqF;W%sbkik32YFhB=jqlAnIv7KHKumj=I4{29U(YH~@+x1yTL ze|~4=)Yk6wDhhwdWiua0#kJm8Z+%!DkDwy~+^Otb@$vI#zW{=tizi*ZhedtHW;yw4?ga1l4)dZJ1N1<5SB?FpQV>sIFaAJdmjkXZ3xc76meExmtQ zG#$?7-Sj#bi^9+^ICxlKOH(1)A}ceq@aki9S0Ce1S666emDD9U9MzMvw0!0&U-s(d zmmfcrgYwM~XC7Eoh@)rXwBshG_j$O>b8>PtwL&S2mJ$WW)Ff^UFnP~j0rBfOxk0fX z)a9u#->&=UBVR!e{gsI1KP!Vfh0OJZg-gwWt*rg`(C@?5@F|+bC)U^J^7API$56AC zOhbrokDsFoSmH|D#W&vl9NXZp54C+PkwJMRLAcW-+46GpDraA!$?q@ zh4=xO@%x@K;^xy-C7xLXoxktx`fD9>q$vOX#rh4n2L-tZPG>13W+|mIW1+kxa(?;p%aCzEJjsgp(R?9^YpANqDJWRm z+5#&S77{{rj~&2`h)4tAypocVu~O61<74baOiaxAwlF0*x%u5=m@GWB%(61PHai}k z3RGMgD3#FLwqYjv5_yzrg~!B%Q&Xd&Uc7kWF#G*RNy6K=kL>N)!`fg-Y5iuy!^7;I z#(OG`uiOsSi_6PtG#&}Z{9IgGG9e6&Nl1`Yn=UgSoUC%_DA&@~h61q?aNKaNdUbU* zsmGqm^XJ6=O#oQW7Q13k)fBY5+}s1wh$H&B39!Th0|V*Kc8BEjCA7i|t}!U>NA{CuaypyL}s53~GtyLDRkz zavvyd9y9vzB9ZY52(-1dY`X{w3Ds3r@}_-FNlB4hB75UScs0|8N0Jl(c|V(%hUpg;}rO zeQl&*=V?^G{Wcl-IJUWUl)=Y$$lW$b`r`D=%#tYa2?>Vyeg<(tL9&1%Wn@sd8Il!g zNzCB4ea0sy3i9)rpI7gVnWpjy2>AQ?LE6P5SA&p{n+sf-j2cbvKzPngCPv2g;n!|% zR|FRy-x$^1`ivAlciUebh8ObiY2oMG+?&YA;kE=kHbmQ^Fg_?;fV*)Y2Q2T!HO92{ zsEm?*ockx4G+k_k?TjJ5#J3p#*fN$U%!4$6S--; zr3z$*=ka1}em*0RdUx)Gm6vlv@DNS~$RepmM@J`$5}%let0WPHboEFz&Mfrw9c^u< zXGhyKG&KI0#O$1$Nu1_5TK@TZ>gr#u#!C7`E^A9lp3vd7HaBC<-$ORMB}>P^Krt8_ z6bn3tAYX8EO$b&=MTPULS3(X;@=$|IO9vz*Xcu*@JS1Sce~#56z>aJkb@N?wz>T*C zd;i95RQ~^n+h8j05>NhWISPEs;zdw4JI3Dpf*0Brq&2mDetXqKRqR%5tJ9vv4ao%tkNA#rJ8!N|gbkd%~Vdjr5MhiNYWE2^xSqoX5EE-snd zI8ZFR9d14^w;~9Y3=Rm06Y;8F&a)iJA1i+059||!c$?{3nUv}X&FO66&M{*jWqo}z zU$J;0H*Ny$n@MFcheuc~7>_2XqP&j8df%>*G_ibCVtDuvTa1f~i+y$P#qFBv>J(nP zIoq%D$KSr~OV9oK^>TBP@3`xh3>4*YY%gG&a2i=g>*-DSMLYZ=%(6Os(dlGtoC(}+ zsAOqHMFZ^5Dz?QWC8mP=FRM}C2shfDE%&EuYir-W$EfW1%=L-U#6lSDxj^I_`iYWk zE8sBx3jun;8yW5({IyIsfJEq9L^CTF;fb`eA0?`SLJ!cemuI_uk4vkCSEMGw2Xtw# zsg|E|8Yjl_JW*Gd5Ug|fjfqXQka~4D-MZts;5FNs9lwt<*KPKoWcqcJK^lE? zohGhiYAxEDIW{jn{jm+2rKRO-?qoWGI{co51pc{s(z?qFPnM#(wlEPh>ks^Ow-97a z-)82u-8-FLz4{7ZHOcl405ud8EHqzWG4}ra`JA6mm2HJ9pfjdg9?PO9Y|@Q?oNWav zz<%A~bo!GV|2w3L($Zvk`*8_Ew$p;UjnG~kj=Y;bI>;HTd;R(TBfa5B?V$b6Ae?*hf20?BZ6vQ`8rB|||2 zs7P5wMW9o;czEuomUx^U*$Jnz^hIw(N8|0aMQ_{@J`$a)ZqBv}X6E4LJ~%&|advbR z1e6&@KOxk4#gmzmrl+NW)*yq-w^RJ}>plRck%DK=d&~WRV;VM^4Nm@s}xhv($z2zR^f z>*C;WOYC!1)nhs;v}2^VA2Tyc%Qf8Af2uequC1@H12dkHl?48^ylHdxo6Lt8dvfC9C(SMmMK zI14s6r&&ly41fTiIoR%F+_KWepa#U5X$_%A*Hi zT6jla`*&uOh|VWzz~#>W@Ld zP*qh|RSgyUv<%DD$MF>x9bQmYRzg-5q3=6vU(SSkeg@jw7KDVk3=9lvxviwW(sFXo zA3p|GOhQVE_#FFA*;goA)B(VJ{W@&Sso$Rl0ulD>KJ>s_BfRf9;^iSSZq=VE&edo# zj)+`rhn1C;(JG}R@!Eaw>auL|!vGDSk=1H*vI+=lAfO+iK&_X|=iqnrwtdmQr>Exu zA>rQsz82$^f+H)7wk@!gXj>l-A5}hZr8B^fiHoar*`8~tN_s02iO@$8^wMoyTpby; zMDrzPV2IXrJ}EU(NMe0^(RRlPLtQ-JlogOJY2M5j0aAzn(B^b{o6uAt>J>tpGT_BbjNeF zj5_Bw$G#B*$`q*g0wI#op&>FKc?E^Q9Uwi6G>hN4$fq=E0-Ia2RUeE6FToX1xSd^b zU?8g4GAMbf*@{r+L<=z^uYt+llH+$ zcXTmn1qI(Y|H(0Wt|}U3k|-L5lCrYs^B#)q4_)o1g^*OImp)ZjYwv9g;6z?G_tOej z_Uy!Mm83;)A|fUba5^$I*_2nDE-`32#if0JAI%O0r&H39f#d&{3!B3+THyE}xG-v} zTLW~w(%s1dv6X3>PoEwF9Q<%F${Mnl@G)_{1UPQ*#-C9B#dqnFmz0*mV<}}1LhjsH zUmwZWdVEIl;M)3ntL@~`MV(tB2Zu8dv5)$DuGw$z?|T5}^ypC|L{#7u;T?6&zGP=- zr_zXt=@W!dQC>a*$$n-=uh(Zml;N1e1-(_M@OO7SE(yu|dET(LXB9TYp^}uP_%a!S zd;urP&LQjefCM2Vgh~o{o*ju+Y$_qW{ROBEpqPq^%3RR}q)MnF9`M+>@2{#uP3h_B z2{gR4bo;Nb+5Q0m0ZPKh3sB{pyKI@YTXGVf@J9RbZdV$9GKi=Nq+*ie4wOuXt;@s1 zgFE_8rVB$cC^VG1FphHJ_wT&iT%3-w|AxGpCAvUGf_jA9tGp}9Q;?kek+$ngpC4_olBj{)!T+Ka{r>$}m`+^kfk;m|`BY{m5xy1R z`rxsRS@H8G_qW_ZCI9OMcv=M6;chB3P>bVVEgwIAe1}93N)~Y_!yi0I1SVl8H;|@gH;olUM&;C&;HlAgDiOyukS{JUnf7V*~&XAivwsdx2hbcX!7}zq!2! zY6n!uuBQhDiHV7za=^pw?(C2NoElUTiQuscFAjpO=5fA13hbs_EVBekOKa;@C9cEl z+!09)FQJ)H$VVA2r=~VEQDF;!p~|oYO=q3G>Fz^~g@uL5+SjF(l|MT===u1x_S69f z0xO!F++$K27zr=)7w`1c)Hwj}BuJIOO{0)w`r{H1yoUS*Z~~-2Y+sa5Ac-#h{yo#+ z)sUZW1>7*Gh2m%M*7zNl!_(8#K^%PXVjiX!;AH*D>O;WbBt20Miu_gduII|lG82v& z9Z|Gx&CM^XCT$ze%Rhd6(_&aWwhr(W*Wf1NqstDdBl^KgmXgT18f+4v2iWbs;r#*t zq%>&lRxvs%s*I{Ct%KGEuS;PusJ22}Tp<&Xc->7) z6l=Z5!NsK@D~n^T`S`JShyv|n1qBQ{)gy2wv=;`3y;o&R{}iSl{&DtIwTxer|D6~3 zCWeNQ@$tv=VIqVC1RZ?muQ$fOJ}uHM0NTQSF$i{fu>*Oyw@N}n!ua_3l}@B;Xqa@i z(iX87ID9qY8TBVmz@#9Sb#YIkS>mmzGVqVOx+H{zve9z#CroS})gj_@{r&y7?vQl% z^uPj6b>ESJt;$Rt6|~bW1EvJPaX<%{u*U-t0B!+z!zHok2zEXPPZQ3a3Dq&J+El94Eh2V%$}z*YN&A z`sDohcPh9i(0sqg#o^DzF3Y8r#o+ z_!h1b^VU*@Jxk>93lt)CZim9Id(sE_gAJuql56{urIcjCFLwt@1GrORG378~S)-R>IEQiBT z=gB%cI)XtX5SO;It1Gb7Hx0(;3ZV^5A^_fYc6S?&=5F^>-a))!S3ZmI5g&kYVd3LT ze^NH-OPLDO*|jf3Iu8vThIo_8|7taf&jF?mI5GHFg=k#UpHM=9^%mVCTs&dg^KWmj&v;!5 zMFibKeDv{i&i&KdtB8vml`a*AGZ=pJdd97-ipFV2O5RXzb0~`-P=Eln({Q70J1fgZ zNJxvIz0vH8QAcEd3IkEwHvATl5=@$3MEk9;>3=aYGGf#!$r!c33wmE&9q8xh>*se@ z?EC7f>f;~Wtc2)B;dJ!$*r_3;L`2{fiod3FTL!|ep5En9j;aS?$xVIy2#=(pA3qWR zaU^ug$aJtU7xoXSx&0=7c<0VUJcl(g(VSm?guc;(b}|EVbG~TWbXR#kVk!_UAAgC# zM&+K;UtV7B?Pc~n3Xl4rzPDDC$@`v0iFLdE`#x^=gR0oupxtDmP61+RDj68!>grZ*k@C8_{H(6h0vpg?JqqHcLaKK& zP-3^zi4l8uW4nm!4^tL)eOdG_guBBdROql!tgS+Hbn?G{uZ4voo+(?&jDzr9b_fqQ z?c_#0elh#qH^@ee6vg*w_xEHpo}z|^ovZ63IXPOk3nIJ)VTUE;>(_}Tc(4$tCofyL z5Fbg~w|~ROUc8w2S*+&l{D6DHX@pV0VV5n)h8XeJPxCFWz*db5Rr*~ zGwmQ7G6dRn(8+Wcj&{9oHE?mA^Ie=xyG4bB?%$o_M?@n5c&}Dd=Q1|Fo0$QW#Ovb& zrZCyzIN{_+=p6EiCWXr**FHLea1sI7kBf;((O5MH<87Z}x_@|c?3%YtD{x$Q40P}(IbNtdF1djnJN2YO~N1krQu)Yq>U zb91BnV@y7DEnY=K@BnsNg2&-{y*vtzXbvPvQ`7sV#&@xu9h&So6WUT)^y<+o{E*qv zTQA%lJ=(r~A>+SD`k+2E)+P);q!fWNbOx}XKZ(& zzStEKqD_b=po8}q@&t?O4aM*fr>PMhj59LIEAR6WjA?D;bt626ED~T23lMVn_%elT zc8?oxy-zniBY0zg{0@2f`X{U{J)GO-702kecX#%ZKIh%8I7aTAgSZT)AgFagY5kzt z*wbST1SWtWk~u$m;EBnK9zHEmeZnjCo-wwxUO7O-tCyOchMKm)!hD6QE!DI)NnigX z$LE3@2y__xN9PY8LLYGJ$jZ!uzpA+z1ynG0hN$^I*r2Vg+;iNisa_XKckVp9eY>*f zxAIFTC*2C0=fI<-JwTE~g5SR%%VN6q)2;wyQ!ES1HTRRU$^MA`bVX}xFos==z)!EO zO~LoVyzRYhitrQC5 zC%gScop$?D1qxDZM9 zf$upxKL?#%nGPJ9;E1DPxn@wT3HLEA9pfbI>F;M_Vp4Fb3K0$}WM*LKY;E;(k=e8R zZ$urnO_0j1TcVMdhnJpTOD9YWiaUO~TtDt>HcAictFLqOIye+DvLP`rEa{(cgA{f; zKUKp5?DO5Jg$NclHkFjE{QuLum*w>TuwC~5zGEBSaa_@V2a8HnDKxaeax{g5ZOqKD zM1@l<-0nN96E4f%B!R=vB_%5Tp~TNmu&JON!4|u+sQ_yyn%)oo!M~ajsKy8tMIr*I zrqj|Wh>3~QkaE6!!6H}F(UBMQI9MkTTL!OGvseHn;$3N}gN_bSSR3e9!NI}LDqoVn zpa0*KOBk+5ec)TLm9{3U9wVa$CL)n~JVH|BdD{SI>oKhrf6|7ux;X z-ru-&16)T%JbO&Y9#8&XvTZu`{C{BER1gfWq?aT|!TIH^pg6Rc!pqOB9x|5ri?nWt-F;-#nD%YFk|sM&yBr>3Sp zJ~|2^6`5{sUik6pF);VQM^LPV?*o2{VS0A(9}8>4$#=)A+D>RE6zd ztgd}LJGbw;M5we^JXofN#4q>}>9S7T&NKD5FfcYy$UiA-TvTq_G=j2n(s)bb@o?D% z7#SDdTdA@AHGYCl2t@C{^bx+7zuv^hj{#1t2Xm5-4>H)V0=EG8{5$E3g1oV@A@(V} z!^qXe#mCo|Sj01_@3+^f<`*+G4TJ?{a`Kg4`cp~2>6z6hmhRB0G63=jmV-Vq)D93OXW4Iuzd zO2Bo`%)wz7Ji|s-LG>Oul;8EPSWtcdEO^6sAL(AbDk#z$?M`Uf+bKyAp7Oa0n4?cr zPrGJr`jK;S1y%F=iZ#m0t|lf5+#S~DgH!`w^woERieK+80TEzsZjN1=I5$5J_yM$P zx$HskaFgQTP%w#+`Iz)1WEK@|fz4H49}5@P;dsZG;X@FXth_vEao}Qf0Qr=QD>N)D z_Q(kXBNS|~Ff34#?~*Uf&kusk;#w#Z4fZC`^J1BvNv8KxP*5!OrLvr?CU9ATs%>Cs zXb%-0m{!1Nq$v41^@NU@jjcE{vjrgH%#7D!=Z6xW7PH;hQyGB74erMS5XS8`uE}Q9 z)#cUKe=RJ`EGz`=;4AzYzTpq$<%>~DCc%14pVYve`4%fd@O4Sr1NQI$#~(OtL6Z3Q zg71PA2M>?Rln=kQ0i!YwQySzY8;e{U3pDfUYxs5gzX-vpr1lalsmlCNj(afN@-_{4 zPc`|Eb^*?{6M^Y^k6;5$aJ(Xzqgo7;MZ9!t-7Bqd5z#;N-PPZUd*f4OY#OpuSJN)jYE_?&=2=K3f^QKz4`O?(XyNQZauN@h8 zSv0ABYXY#_|*r=6W$kPWsN3aYP*wsvEdLg2x{ zB`PZ4e#7PYcz=JvvLpuf9PaG43$PIE+}z+PZ}2>?PJ56!8l%Sie8XcqjZZ)j@dEww zWV8Vw0uvSrme@cf38jy2y*qu%q-J#Ut6AO)a5Vb(`EAZL%#4g&O&wU&u3$IVNFut2 zdgi9^W`+i|AD&=KPZ-)~8Pm9B{}+C2gn7H^LwU8Q%lXO1+v^Ry0+&!Lq(3bZwz1w2 zHAB{Q0KV-JcvZnOJX7xh`m#=gr%>@ZwPz8w7~{Q%6cq1zOu%UkU>Vvo=DwSND9>d% z5-#PxqZSMdA9Kk+8NMK|j~?f_K^Of%w}F%mmVE+ze0MN178DeG4imr~fIw7kGu5fj zs!^nCZDAqnzU7Lg_wLBKpzTmBrASjk!Z$UQw13dH{#ddxoh5Bd@vmwX<)(mU2EM20 zXmLTB0T)hA&R>S8K@twsvTls?OgIjgvT|4R`Ug;XK&oP8baQ)UG-Klc;hTAvCr=^^ z3pas?0GFYqk&&8~7Jaqdf|Bc`rDa~xH#RM$V!)j4u zGSe)j*Y%h_P+?K{fKA9(?o#)vo8AAVv9j@z+6{sav%tqbXJ_vH z!UwNRfe`wa3As)vlj)J5bbu#|>v_=P@87|aHz>j%vP#pfyuvZs)awV2V&t1Q2#VLX z5awW_zc)33hj~FS-^FkNl!-vCcbQyocr`B$8!qci`$(W-2S3ElFzgFx@bPb&#geMz zFzF`Ki;UURJg5$61@b4rG$$&iI=(%OW?Erefjs?dTJwE%SZpu4_N2RrNJu=Fe?acm zeDb8kVmKEFXNuop&0oRyE+L{bM(V>^q^m9|Io;jm7JO+(kyn$*lJ5EP&zE@Xv`+?n zZ{#SQK3*ZH=b_z+8Q^b&%>){>@ZIyZ$n0_8vy+pOFp2pc*G8Bia+)8TEnemZG0@XP zzFpaVqUTHlQ5J~9?d@&o6#z5|n<16$geJ71}(T$2Hg~v8UFuBEU z@*no-=6D4aqg9i+up+5dlR$Bvuj?b7G%vcy=*{El@zA0=bjq#3ZsS4YwlPOqxIQey zVIH|%Zk=+tbw4}HK2_v5v_UyK-!?`U@$r4FkjRa`(~<>ET2gn6(0ZX6Dh}$P@o|ck znYFjZP`0hEx&pNYOuWC3&*z++j$=u4J#`guOMt%o<%_Z-epZnHE+u6;`1@@pE4Pn# ze}gOSS+!#h5WK)g1NEzL!5CGCygj9zYBOhPVKF{104+gs&8UGw#Ion8IE?q!paH>( zJF#uvdaT5k@xFpGCHq|aoMI?# z+XDjwQ0dJ%$CQ1Q>+YTm8^%V*cy*64Zs+*7T;-(SE1Xgsuv@C4wqi#ku@>Y5th`RCwkejawB{QCC{kD^`StWEGx>T zgKjG?uS;mYfCU;K7YEHSV?TfXoSA7*f@mL2uL^nbaDB`HJWp4-ordP%C*y#9;Nc4; zIsllhQ&S$$-UBE%Vr1~sQ0kZhELCtLf%_e}-?T9gH!8Xq|Bwpl?sEbB4mWC8T_bNm z?toCFS7i@E6F?pZXmSGIxCQKFy@3~FYhoxp$pVK!NW-ul9ULBjBOVy;y}i8vN=H6b zo~Xae>Ol6QtQ%ee%_bfwu(H{Mu$luhXaiynW-odef0&ruG%(l_a@|W^SYU!iC~L#C zFf0HK1Goj=p-1A5uU^4gI0gI8-k#$QZE)Gv{+rv-prcF&{A~>HZIzo>OX+`LibF4^ zdws+{xwyGOW1WWJOW9{)A_qQmLe^GRW##1;Z6X)NV1e`rhkE+*-u@xD%vsrG3P6=^wL_)3*)}}|Jbb? zHzFJ+Gv8i0)X~vyIJ`2hu4Z@MKm(nB9}LYEHbSb7>5|w)ZDAxrxnM@uZ$y%)ka!KR z2vY9Vf&+l^tlUb)iW6LYlJwveKAbM~+7dc_|9-Q#x8J_y>vwZYOCTVC4wtYON9aNVxdg1U)B_q6J|GJ~U!Iz#X1hMC=08mWonZEa z_f-#$5{m7o&}#(MEVOD!k%aL$EOkSz$&MdFVu^}@Ap}M{==sP|TMfGV5E2+($~|+< za4ae)?D+OJ5NJaqts>5wW8SxnQOMD5sH!x+BtrGARHi%rP9!80T3((T%aZ3;9`8Zp zX)K_u2=3P#H*Nr8f`-0FD3Bt-T}REt6pDgqdr!Q(y-n_X0#c92*&pxp^!dXXudUy| zpDHV}Lg)fr4}3I}4PG-pe!Ltld=9!EbPa7rJT~81=m1{?^y@Uh-UK5UJRlfQ@Kp7`UIA=F}Mgz*mh?&}#+`1_-!M)zqMOkId&_a|(dhpShOXfjRHg z)zlyygMBRtun~llFfb2*4hhYYkB6&fZ`~|x+^VhH7#t{P(LKWy3lNJ)C<9v|knxxX zHQ&t2KtY21GBP~;yvjaPO44q-`P7L0Qr*1OPftEF%^QRJV}myN%dk-2zgD zPU~A$JWUVKb-YD@Q9eCni5GBQ^~1Oi-E1{AzH_g9#G;d*8=6VKdS(2b%S`{{9xoRa zWqPH{oCn`-2LLvh!Khf~=V?!J9zA*laEg_N{0?sE^t0p2A@)Mhp| z(+yrC5iY6Sw0*NLVP?QU06t@ow%qb5n3)Uf>dqk~gRNQ5efx$u3ZFrfP&yU9pvZaj z1A^C8>FL2lnaZlFsF*3mmQVE+6dWWa4P?=1`Hm}sf^HHMV@OH)`TH~dL;6UyDMni0 zVK4b68yyo9|31wa-VtL@2rkX@_qT^(Eb9{Z8TnQ zlRptjku`J-@bFl2PmByYq{YX-P16>p2>nGyu4pJ}_iwN^CUN zveNC7RlEKNPQre(g@r;}Ox^nU?D(6H9&IAM{nHYRMxnhvdHmRvHq~j#$O(bKp13*} zppn(6)H=}X}Ftw@x^Q&JxH4 z|DfJQ+}k@k8Q`wXcAT$E=o78i{;5{I5vlF}oRQJo*_kV40ETZDG0b+lLcw1(XbXlG z7B3e&$KN5nE@~YeQlrEq!xCd+N^ZE&KKVmVOYQ5hxBOf|;cJd+kB&|p2}wD$(SYjf zJ@)dWIP_aB3X)PVrMuYJY`!T+*~5H?9Dd)=0D3j{=R?(UZxXOVa{&j(ZQ#&h=PxYx z*RalEyotOL74VV^A7Fh$L(wOXz}~X0uR0xm%CqeF{OQxH8Sb)-3`EV4L5R|eh9l4@ z?V3+PwEdK~)`x8i{JD@2{`O5#gRAxxT;gpT+b!3#N+0}hl`d@8n^^6eC;qB3Ud0G> z`lHTkivY$IG4&x(XJsyCgKiM13yBEg;?&q!B>uNJ_7-``cR3N(KurhPASv^MP#GSB zet+=o?5DpC8A*}ffgo4}V<6iL$D}02=Q{a6ttQL|yYEg_lSlreFG!*Si4LTKLi8hc za_Kj-{zTi*EmQ$!GfK*Y;M-9>mBVZZc$DX5cmRVZ{O@T zk{`%kczPYte$^vIK0aQZB6#f4d^*O#?2AM>jX+0$(u14}jT?KP$*6sIe>JY{?6|@# ze4M%Jt9eiKOgbRT{hU`WnMxK(Y_aXWD)uVV_RzQE0 zAz~g{L<9w`LPPfOrbH3Z*q{LscHnOx{MAO_j%V;H@i$yUT=G8a9~?AmluCcfwyOGFzVQMX5DR@Z^;BXElr~dGFdy z_?#zL2fI7yeX(s>OW;oWi0}&II_It7M4r%>&oo#KVU6g&iJ+YRs~eTu%{xv_=8suT zjFr+RBoJOnM|&91i*hqK1lzWf=^;KdJO(Qs*pmWhH(_({{?_TAD5DlhVNwQ_ z34w31zh9t~5{<<(-qrQ+YE$e;)$P9jke;5I%K&F+ApcUjl3+7(bF=dE)8HCYHAM^$ zALOWot_*sSZj%UA7~kkb2Vt@^t<73%c`V?_s}|KqE= z!pGkq=y2#{fwCSDO&U#b%XpPTc5Li@Fl(2V)_9z9tAG-K4F(`kCAbrlqoN+;X*_-E z1^z=v{;BqMI$qw&`uY@|b|{RXd*jusSNEB;jZ96YqCsN7ZTbRohL5s|Nmfb5Q&diWDv7-4J8XJFwMpky`>u}F{4*_V<={I}-{ymVmC0&18R{+v-b8|P#rG>%m z&(F`H>jzRGfRgr5dOOuO7vHWSylsJU1-Q5V6M#$s+}87zd&z-0fIjY z#D{>VD~|lzqH=P#$)T3FF*be$$OW2@yWxZpXxs;@HOeRGO@^z2P@2YW7vm@2`@+EB zQDN`I#3`toz!Sl~0$&`|htSR=qoj0ra6q#bFal>Z1f{1_evoZpWrPN`uEj_ews`se zwgtI4@Xym#^9NSy6uy6tSw#=l?7&+%JU5m}uc8Jvbi));{d+ge|L(aS$6L;Q_Y{Wa zH#R%~;)0tM&Y6IggG7L1{EqEVa6@yF5pjtp^!Wn{6^2%X&Q4k2M{sc;hdjdycrNnk z^JnM{lh>|V7Y_Q3z1rB_oevwix;jB8D@1|ZO+}RO@9@BSS6eG+=x=FYz-BvL8y=2@ z=|4C!5|f-vjF10wY>a-RPDVxsv|JWCx@GWj{8v#&T|*-#HuirObpjsW0zL#>fPo~E z0TlNN;bfb_!jy;zY+PK*6F^hzK+Qpscepjvw`dR5XXb~l8L7bQqtJ!`EEw2_iS2^S zVPUXyOW013NJC0NP?!9#<(ITipU5}rN=yy~=VE0I2n?)(F8B|!5?AZ`NzRb@ zU=}Fe(1g|6)+Xm(@eMC@7-q=tV`oDflDs(SSk_Lkaa$ zn+3WXJhpUn(!KT{)mYKN$PXF;n--E34usPTC@BDN3hD6vcei#o< z4yU0j0Zb8htlSowXI~;+zYb?50Y)n-vIR%F3bVj7w@bpw{{FWzX}SF9ibszj8@r&~ zfrh%Iws|micLCi3=1#Df2H8YE!A0|R-kQchMGbua{+`!xUtgGPCbS4efA}CFE-o%1 zfuSo0Z9yGt9dLlqA0U&0T^L>CPeiZSW&jc(Am6fhdzBg}25=0cp#L6B$_L=$uwU$i zc6;1WKJd?DS8ZU4=`i1K`qJ7e>4OEG0RaK}rDJLg!_(8k92~n4azNPpr>U1kEGAnU zP7bh(ASM?Pfv&I*@@oo_F-p0Q;`7bAZ zs5y>^d;((P%a@lR%)#}+w<;_w48co0vgGSwyC(CvzIk%N=g)t3cPaT#dw6D~AH0bu zmN`w(c&=t<_8FEBU~yXcxG$EY%>8QA=fF$6F)%;gSp?}Fx-ny(Z~QM!x`CVdZUy)7 z@YJ9aZnFR~+tU1elRj(nC_X7E>D{~gFiC*33&B#4@&Z~D`-g@Y>FADDvQsmXyS3nS z4n@UYkn2I62d*|UDhgW+KHS~c*Wh*O39iKEKwQ{YzGCG6<=hbHoDye*$6f_Z8S)?r z2?_XvVP+T^7*1C6;Dn%j*Zg3`Y^6BXSx~BML4%c&x}}v89xh5V*VEokhNhIvzrR1K z$HUDHms0EP1uw|md-tZnNeQztAWS%x$O%n7T`Ua?_Ej+K?cH54wndb4xiUKagB;Ld zK7?~PnCR%hkZ;9(3XS8|AVWyYE+@~Kc7$1vAI{7DHRs7nAXus?Zho2lDba(ejfJ1U5}v4 zeaEOWh4Im{)xW2XpyI-*BmHaKjpXXQ2+EtqUHAe{`Rf)&(^Rk=;i#hI%bDqOpOVWq zJ47l0*9(kW{(api@|YAhmNt35?6)pu`NDAyI^G)HUp!O6i&(+k+5EmgilDU4gL7&e>`KrLV<#*txg;bhnD(nDI*9`8@tC~E5CW`mM^AkF1myY zlxv<1B6w&}UI8{GA|<7LP9LS2;_{_YpA|ORnQq3)a-fmy$&}_kZ?We3pFdw}Y7(14(mdW**La-cJd@an+cM$|}A6^`h zuWdBy-o5yqB~3<}Gx11i8figu92f9V{Q2_-I&?ZZ0(Fbv88XaW-QANMY3?rXyZRZx zF=c;JNzJuueswk5(+8!2Z=jjn=S*5OD`O^9{r+=3J?MLedGIqZOE@@ohqMC~-A(UD z$12jFWDpqJM17V~j~jNO<47xw|jC7T%nH*QgKP z1E8G20YHVLrK5w6jHHpLzJFPEfCmTiO<0vfnu_=SK=FZdQF9-J^#5xaCcyKMWL|O^8rxN!vf%md1_{UU5kK4 zV#KtqzyP1z`PgFpb?qmMjxXK1yy5xJ0*joD5x{m-%a{AW^KLFB1$hSdh0X`=nvIB9 zv3j+4?q^R8$y9~|`oE4IES*(RU$3vF1spm0^|Cjm2YA{Iu=zKW)zdpFIC%5EegE3G zPn)BaSTL9I`)@`Es~>;<%$Yy`de&B8F0kJ_eao@Wd)yYUT)!ST7h1ggZm0OUE~7tS}A{+V0K@UBex7#vy<%rEl2^9&~O-F80#tfd(|UHx3v IIVCg!0NgAL)&Kwi literal 4287 zcmZu#WmuE#+aF3xOALLGcmyedfhbbqKsqG{($b7{f;^-kAtln~keJd9qof3+OUaP~ zMoS|l|BFxWm-pC?d-rjFxUTCy&tIL3(AHF4a_2C9j@~SNLH!!y za|$8iLXNa7UV8y;t1A7U1`eiQk=aJI{HwntT-*zpavi6fN);QknS;lu`BK9F<)WG* zQnk^UuV`$3a^7FpCvv-;>iVfK0|O!BIO8}~?9a}pec8qxs5Mmx9o&a2-F2OuoO1~& z*PTEIrwaVY#~A{JaO=X!VGvJUGP&@Q*W0*=^K)O_u&3k|m6Z+7IdObzkM{QW-S<~C zz{6R~=lP6JE)L>*{2qvMU#PmdmG$TlaW*X+tc`|8N9)(cDq=$DtRM;M6rA57yr~TE za3XC{?vNB5I^ZwGo!GFnv^28~F$oE17!8}~#7VunTy<4dR!PZ#1>1*j9X&mi*MeGp zTGEYdybTU6cUyo9zQ7Lg5`KSF-&kMY*;$a!d8Md6*xgO>yZQ24e*3C;P*9Mvrlz8m zRd&8SCu!~=!Ev)fvN}&Eo<~E}u`BnOiG?Lyk{CW~e9)KBSiQKo=ytqq>buu{Z+_RC zoQ8%J^5Ee^tB&_fZeCtt!NJ$Fv$J)@dwZCry_?6jf2{=1WXf;=yy)y{mYva+%q5?S0me?iyScDyxDGLWmS(- zmy?4?c`Svu)vT`CGt<+zs;a3WOikHLsvVj3_xG*0wzi^Rot-gky*M0hqS&N%qR_C^ z$k_PSP0DvgIXS^HJ_q3lBcrm$M(MGiKfeR4AXHT;y|yE6-mCcWL)id<=8e=VoX0?V{r1=wD-FqO$10Pcr{?LahZQBvPWGu(w-t&1hKX)h6kW zJuy>wDJLf<>*MVi>-I2OyL(!n^dvfmhvUFYRn*r@*4Xqi^U#qS>FXzIo}uc@dSJ-e z#?&`&-nhefn`x-2Z7S^sZ9xrG?lLe#p+6vH>+6o0r+SBVjtw+VpFZ83Zw+=d-{2Au zh|E_`kAl5U`?w|*@{!M)iHV5{Qdm^9R8w7BD;6ZzLV4o`tF`OL_82xP>_v5TH5DXY zHLs|uDq(VB!VM|)-`*0%^_EYvem%%DeC!h_rP^tnziRjBXoaB$b5U<5jD(?h;*_Bf zp7?GoGFjMsfy(G9i-T{s6|LuZMaB>o0U|_JYvm;|?XU~j*ozkHXZfK!p zNg!A(Hn0mH)P-;D>!Uh6JmeJ+z)w-UgKy7`jg3J9F&G|iAD_ja`MQ7hdWGqs(D2;c zyVBk}5Qw&p4w0v)r?aX$|d5eSKfQeh3h2>Ev_+aGpuPK#o6=zluIW!PLylCC8U>8>il|K|lv|ZcW#6CaUUO!PQNfy^|o|AKB2*5Iji8 z!C*+EVDCy<#cWq!4S?(XVn^hki{m+ZX68_en>_P}8{^Q2&d{l;DQz>ef$Bu%yO2Q3 z_E7g}Z|P5MCvENR?#n$)OG`@@JqdhJ(U;^InVE5MaY0XmNn59K0eSOM{?zNFG zdxU}wln77Gz0sByxqoDQer6E_d3oiuwdppuwy1r~^<+}z$5r{XSi-=YCCtE#H(Wz01-X~v38$RZTpj*S^q z)z;?Z=Toq;vC%~+q=;BvOA<1D&mwG=m7RU9H(6LoL4i1whOOWzgOiiOGc(iO{&}|%4xjh^XJb*a{-q!ph4L=In~?a z$36~efqQ#qp+R400qnz|oDqb6+bcgQ640t*40b{RVcD?-H`8M(N)I2b9*ohL=_ z^6;!5$cVcyDo993aBy*5i;0O**3#-)8~t*HC&-VUp0~xt_dBClg98Jv;5`qPxHSl9 z7V+T&oe=`D5KJozfvBg7k^s0H$LEKIk<}olL*MMLT#4jzPhyI=lR@(9Nap)+M@N3p zd-uI1mGje$Qa2Be5r+V+l4MB)0%7m$90G6&gqe<=y|m2S1l@x!EE#Y8nt;w;7b5~J z6=cFI3_+`{qsj?`=t^*CF)1mjm94G*qs_@2k@znT zJZ`54Ym@|a4GsN?0sL+XINmhY{ojq%)%k(X=Vb`fz9`t(&`?W~u=xN`+!WBFbXh-1 z0Re$gA2z+FIlr?b7$Et(*8m@VeSJ|5;|GV`7lvWUkI<8V>HL#&3f zo=%imUI!3!Ck$i?4LVBd9{S(DeY@P}&=H4qzmD&UC4+3vHM8qt)Poutq`ZoZ1Un}y z?G}Fjjs;cV6cuG)h#=O~)b#1fiEL}5d}%k=I$7zpb39jS>EaSvQ*(6LoOEE=LNTl# z8=wE~9SMLsBuEYdN=Zyc=2@#-ApK^KxcTDf_DfOL5I86J);LdQyGd2r_TMT(R4Q&c zX@CmP69{28y-5qn=KeaV>f#-OiK_0~xW{@125pm*tdKI~^g{_r$!sh(rGa`h5kQk! z&b6d47TTXz*Wmlg}c%|Xj2 z8sCVis;cg+|4Q#>I8iQ>f_Vw`Y8x0BU<~(+D_&AuyLRmZkhU8vLM=F4V{c!%P#&L5 z#FwHX(tBF7N}4gmiHRtvNXtK$Cxhw4{93tbxtLGyqWdA4r=m$cs!~|&gOmrMf4^pB zWhtFSxKN1_<(23WuNt>yf&JM}6P|sItoxEDR^ZYAUNbr?iv#E#qg6RHA|j%!tW4W} zbaaFf{_5%BSm!7{&H<>Gho@&;LP7{oW4?s0Ro8B{QCO)#YHRM;~B3XeSJSAgY(b*my-k$Z$W!L z*Vh}{tR(=1gt7aR2LuEF;GhLG+&w(jb)-G++_?;nmECJsVn1oc`F@z1_C-BJrjd9Z zKb1VR5%gTic;s*yVn2e9%ddG(ub;;^)x%X^*kD6HWwous7hZ6D12Q~3JimXEBK@WU zev$dYH3<{-&tu|31C92r={ev(iQ%!A<`R-L#E_Kq^fi=b_Dq$-=*|fN?c_X)!}VQ^ z#TJwfJjpsMs9lg*4eo;Krc@Lc6tsa%;6NdJ-O0frsIpS*XnSTl&!-gxKR!ObKY#GC z(YJzqDP;9GQfsPF^QVVO5?w{Addeis8Dt zHvwh?LBL#NL&Lf+CG($85eIJiBdX@+L^{j7ew!JYm{2KYuT zE^5$4;^~=JH2(eNGE}pfA*!Kvl8*;n0`}usn)jT~Tl$XKH(v_5GY_Ahs{5tm2zPhb zSP|m7mzNhv_H;r*LMc*SC1WY5#DoN5H8r)qH1Qk%Dn_-0Qs4HGMvtWProNU(AX2AH zSTqFuY5$R+o33^3Y7Hi9P?tV@W?;aa0&8dKin*_#Gpx9YVM04UF#Q3K1|EY%U4bWpvoq_q5DM>;J#PQ=U8O6}8^vhs92`7Q?rTYx!WQ#G zXX7l<>J%^{Q1HWqn&qRVSBP~NFfL5gdETR>q@3U0jv16aqXH?|hnoM@ui4ocwPYcX z1Bkfd$U$_ai|kNVQGpqwL$4;mo5OnO;u!F_EmM==gM5ta-RfR@-VS1*h3{?$3pU_V zw#2l7G)V4B=))Dbd@l~iZ;i8Tm4wltzB#mW%(pfv_KW&pRlRPY@3s<*T{2p<2Hjo{(5r~N6+5faY zk0CO_h;kL50JcCZGOBnP(Y7hOGnckZMtjHN&(4Br()7kAhzwWObCo*cyXW!vVBqJD zMV2f3R|$5!UfRNIYofe8i?D&zvpc03*0Y;pKRA{gogFd}@BPiMfx - + + + diff --git a/tensorwrapper_cxx_api/inherit_graph_10.md5 b/tensorwrapper_cxx_api/inherit_graph_10.md5 index c52fbb4c..7bd50d95 100644 --- a/tensorwrapper_cxx_api/inherit_graph_10.md5 +++ b/tensorwrapper_cxx_api/inherit_graph_10.md5 @@ -1 +1 @@ -14a4cc090462d8c47c5d7f0844482e7d \ No newline at end of file +bda96e7c9410a85b46945544efc2f1b1 \ No newline at end of file diff --git a/tensorwrapper_cxx_api/inherit_graph_10.png b/tensorwrapper_cxx_api/inherit_graph_10.png index 64c07ee65a81dfac9440cd3a98c9616f3cd304d3..9754d7b7a63afdb2afe6b690e8438cd212b09bd0 100644 GIT binary patch literal 4790 zcmZWtcQjmIw4O*JLkQ6mErQW|8J%FXA$pJAB8=XnB@yAL*HI%Rh%kgiix$yGi(qu3 zi%#_Vj;#0Bdw15l=d8Ksp1aRJ-~RS@cBIy0Wn#kngb)aXSXD()2Li#H1btyB9=MAt z_#J@;-x{f`2)Vray=y2;fPoPcb9Val7tTS+#Jm;0&h@AN1a zkIqRt}jn`-LQYUhK*$$WM4|)Cf@;}30 zgM)~N361X|3i>)aiDhMc{)aJ|YAj@3k>qS%3}g@!wiGqvlnMTk@1c=x)&@LyiVqWv zxN*J|mMRkNb76`Pb6sXR;nw{jNf4scmoHx;qNu>Mjh3Y^u0=#g5BWlaj*pJy1YceI z&R^0`C02Oj%EA&z6xmh#8IN1-s{Ky*nSG$Lpa4eH!XO(gRa3XWvva)D!FbCz2Rses zZO*fWzIqJ>eFedIL?jwLGTZXzmL%Es{g%5_QElbr<>Mr`R)~8~_ql0MP2@L0cyfV%Q>0T!09j``Z!T1raF zgjYo#)mY||QtIvf7^_#cqM@|~lZ!n)JzYs`N$&%e`{;Sm$aP#x3o{2t*UZe!V-RF9ovAvayvMl8FCK3)2G)wfY1A{HSQAzd*OL!KawwVlH>+Dk>!8^7UTXBA2Vd41ia#Fdtq~s;Q zAb0|BQ~mj~QMq+n5}T&WOe4y{!B9)HyH;FZJ&I$_G-3@usfBot+;jUz}o6`-MqmQ{Q^K~3iC`@|#y@61#t!e47 zpXaBCk#+j|`q11rB#dN|OjMt4@bQ(cudi2Ci6W8R>+8T=* z2l5cMUoPJ$DR)MMQe=S!(~t zy2h<$S=!)TTC^@0J5NABz!-8S5IZj|Ep5{t&B4j}&<3fg$>staZB2t48&jP$tFY~A zkD*P6+sI^}dMTPY3ljm7=_2Y<*D_Cj8t}La7=BkiP=>LEpQt4|I(mF!Vr_LbLKy%f zf))mYL31}ZU8t$i0FC`Jr#;=>Trk)Ym=MYosrX~jBRe}gvc2_<;lloQc2-tr%T0Xz zx3VFPU%w8GjKIajj^^5;z>tRt?EL)k&I%|CBO@{IRXtBnPofqwa`Jo~j^lVO_7BrA zMxE)$Gs>&8dWmZJAZQn~YQB9FyeGk#VIDereQDfuIRnef95y#UubCybv(T0F5-7J?nV$FE|qV(*P#!9MF|E{l9X z>L!-e5yz-&D6y9t79LJTO>I%@!TR8V1#H^Y!M-^wRE6xVXzS?>p)G>PMn^wtu?q?c zMwF2dwAPS6b8-SW97Yvxz2D70J$3W)T3=m#=Hdc7JjUg|kL3^I3k6hwE4zX+lnD-p zySi?*ydiP0w^veDj-wHn!<_!%3m-JDWtNDDVSSL!l%7u0nb$f!eF4~~bqzqCf{KcY zo<8XGU}L#I$D$!XL`v!m7`yt`R7a=6|L+n2)4{<3c5xT%<7;^)3POjztn~Q!pQEGf z2`V7Q$tfsoU0uu0ykupYz`(35I_uZ8G&D6%BfP86(Ep9r=I7@Fo;Kp{>+F0dlaZco zY+!&J7}%Neol(vIwY}};J&}H>y?CrvT3RY(-(ytyOdp9vqEH(J8krIJ!gcvqi~Rns zF8I9p^1>H6qg{{ZiLvn1utP_R?(FPH`fi?`AI?7vhuVY%)MUkNvExLg%i)o zh+G3m?P-;xV$BJ;I3D}rprNiF@z*tuPF&D^uJzr!2eh=A!^MWmz*ltQI#Zqwy%~0P zc9dXAC{%Vrg0_~HrHe}}DYm~KxHe>~;ZRCi`Z(|+fmvBkCTO8E0dVGfrI?3(yV;Vy zF3+FWeVg>~@tLmmbkNhIi0c3wZt~gk+WtTamtnz&4`O0sbdo;6IH3hL6VB?x;yCQ? z-@lTQl4fRR3i9%)yk=@HhSjF4(7{7IqST4%OrK4u(~DD61^ELCYQsO0Ss;V&JCzo# z3CgoeNoBRnf|=f&t;w#WsXL@-(oK%q3by4VFIiv=rz1@|1|?!oEM`6(%iOwoMexi+ z{SKo(g6|FhgD)>E@Xy={m+-FTNvUEGbF*6NaoyM$A-u5$?z_ipxKioTGCv{`O|wypU|`+Ju`9MyaaqTXuA_GrYRd zb!KoLL(GxAf~Eg$f*+b&g4sB(^&Iy1r?hs*B-~ZzMKgz)HzqUL&+Naz9pbZ&%{8 zXf!vve%(I4OI<{rnl&XQ<$U~3_*XQaoxVN>hifKhb4l%5pb76gxli>;0t|`deFD2M2}N*pw%f*L9~)Fw6x)0Oe5P z{mw39ZT(6f>7erJYSI>d-VtaYYMAardhE_IuDo1`&-|?Zt5?hF@QXWla8M>2nY`zvd z?~@u*diw0t)Pl2>vZjlZ=39(Fx=w%dMslWrtWs*;5U_^Bj7KRyPfSXhpPvU(cB!u7 zt8h$oVAIE^!zo-vv~c`5T8F5MOA?9LmVT;}-uPe6o$36|yyE^B!^K6H=UW-9$UqE6 zLx6}@;H9@k@0Xwafv(m~kC0Ei+t8{~417F1nD_5r`RQsKdSra?kFkg8V}Otw($7|c z4i62n8~!YKyZ>u?`fXa;%G{ha3Pn#%Ju*Cu*uX<~X9I5k>Nw~!72y3^%bT)X-(b!1jDq7JjEiUf%!f(4wj{2;RVnZ&Ue<~^}Z+vC_`l1moppFc8 zRR9`M@vcEwydGy8|2m*b?AUG9i~IX|tQk*!s@mZtkA`{<3f1P5|U?kuXSkuToTYH#9UnOz8ae ztK#$LcnO0bPV3@gET+`Y3rJ=qrS@bFU8Oh%;KRcS*QUEKIEqV4m7tMrb27?sQBl~p zcUD(^Xini&)lrUKLTHPRV{HYE-Q9QCassWbtY(*&eYbx%7i#8wa#n4VsxC7t=He~2 z{-r~%us7$(Sy=n1;9jOcy^*n|=GLFV6cLda?nq^elhf%|ex7@c#5>1liHT%$qT1Z? zN6+&sD9-rRJwABt2xBY;QUYfu#>YXTv$3)o7#dR4^~jJ|$ryTSZ$6w+aKF;yChA#O zE8$6Bwj|c9fcG?&+xXYSM6r~hEy6j4^^@a&%6z6(L`)R)^iu-^k7SR~yk_!HRhC4V z37~fxkC$k@gBXq4P|setdXq<9T&+vk#Ka`xzBUI3#~zRS0T13NRUC{+vezgA6$Pnk zYl+7m!j>Gn7EsWw<-9QdlEf$e+Idl1^g!iDS*5*trGP-RffE4=h5CbhoFrT{&{O|O zM8_h=r1qugzOlErw~~?)NVQlqn1>lJdZx}-^I-xAc+v@dgH{9Myo>@rFJJ(mS3A3W zxd%skgPM^fNqVtT0&2v>u20Amc+qeXkp#2B4|Ad#FI-brEGSL}3fe<9Cu{AxQwd)G zz~OMTrC<(%KdJ>rU&Eyjbi_~5^O}NY4v8m>?JoB*ZhuO z6g3|e;cJV)otxsGDoHR6GU$z<;9CiqnOx}Z<-Y9V(k&t`mq9P(+Io=}vumY&79r;; z$;k^VD{1lZ4=4z^xVS(*prfXCu(NA(Bax#e;_m&voqKi#igY0X0j7}~L*$M{APyeq z*O8kQrJ=JJ+~{qW-pKtk)x(33fFLq5^7wSC30PK9QSmq@c>eH2EEdqf;^Ja$T^;j2 zi2c-$_BsbAK<{WEkw6;uW3h=UEUj=nJ(}>K%kx8HV`I}Q=L8iN3(vKdv%LM)Ol3SrO=*_MLcCXShW4~!dKwwdklC*WlHA;%5eu& zlkh1xIy%NN$}asqW@2Jmt)NakBOW3tGVk?NFAY32C z21En}bq?Jj@AO?Uthv;nAOeYKvtC3x{y`gYhuh-6nu|enjh5RmKYX}HNeCIAUs>t= zG#Ortj}Iyi9U~)#K(e-fvi$y&?C#xxLR*r8?wq54Rhp02m;X=MCKN$%^--g1|6A92 aeR)0nAcoC&t=;qLe^ta|#Zr08m;VC;b2P00 literal 2112 zcmV-G2*3A&qJ0n33M$|0Y$N?Z6zsNx_%U8BC8|IX>m#vmgYs;x!oY||)@B)SinUI%S$n$@3w&(xE?T^ME z)XwMCIluFJe&@oM^Bm64iQza75dSt5Uk?D`dyohaNCXHZ0t5iSk6h{L>A7|5mam3_ z@ERp0CCSOjMD>rIK%>#LwY7PDNC>ae*4C!cXvh{nd#BdcR&R|5;R7%Xv$3Ev0Ro8t zfkc1+NCe(za&i*GFr(4v*|14TN%!yHU*5Aw1gn_8`QXVcM+5?a;NioEf8RI48E&p{ zZ*TAMW@l&Ra(P5VL{LzWR4N@C8-t#F zKEJZEG9x2{PN&Dj#JqU%0@`b9Ya=5g0|NtvLScV@KQvBFO&vOPh{2y-5luoB_+qUh= zlPAPtIt**S!p>&lsn-F(NvKpR8;e5{6B8R68i=Y)CKHRrYPH&AGMzhjZs*ROi;Igm zj>pHxhlhvv_4Uoo%~e%ZF_}!O)%xkvr}gXCzkdCCVPT=Cr>C^E6b4C4OOr?>6B85T zkNj9}*JM-Q8`mSf;0^DHO`s*cguENl8gtw{E?A_b!g(RaI5l+1d8~ z#0V`GOMicVbaZr6QxoA9930%$)nzi76bc2MPM?~Za$$EdM{;*puU_Txc(4m{Stu0d zx!d-i45002}f)gKmeWf>xX7myPZ6R^6t zxJakd2L}h?0^PiM6WZZ7TdUQo)#|{&KsJ^AY9AsH z2KR+&)3!ULEO5AUUhldm0 ziA17~j*hObuH@uoiA2)b**QBq+tbq{5{U>OvVUu9YeGT-jYh*TOfHvewOXPnDk_Rx zCYtQ+uIEVZ&LLW@HZU-dSPCAG=g!iRaWM;zupALkDF1ybA|ir9p%{%uva+(WvRpi# zm6i4U`SUk#-ehECq^73M&(Cu>9E-&=K0Xc|;8%yk;lL{Su3ID$b#`{Px3_0zW`=}> zgoTCOzI}VsrcH5iafA=yuh;7f3JNY=x}?+TtX6AHO$|IZK;UNpQLEK#Hrtuq^&IW5 z;%#8F*>iJqQ&Uq!%>TJ`3_?d|R5<>kY}!@qz3UR+#USXi)Htx-`?si~^z54Ov$Bi2| zv|6o9CUa(Ye~u0hhCCi`_wL=NPMtCs3~IHytgH+=xCl#LVb`sXV0dkr3D2AiN)gJ;NY5?n#YeH(`YmRfJ&vJ z(P%q%>_|*ZWU*LErPAT!{{H?cDJcN~0o%842LNPdW}3}rXCmNox!12>FDNLW)9EE8 zCHwd9C%2wBaiXH4A}lPdsj2Dd)2Ev^Z+2l{(j4tksZ_JGvpgP8DwP%$6%lr4VaY4( zdKR96ycfB7FkAz~$HzA|Ho9+LO8}1_3=wMpBm#t^zbyI}7#J8>l6`H1b^-(v0b;d? z;OEbum?QlBy!SfWw{PFsvu8aUbA=@3SBD4!0s@HNGdVdq$BrF?Wsl#T{hO>r5jac8 z+T*n>c1ueOxnF1Ton@lgY&Ogr0RXgGErww;Gc)!nV_&fnMc_U~MMa-Ke}4J$<@oq` zY;3GdCbL?tut}*@Din&z$;qOkqQb&L9LI--hDu9IA3b{X?c2BN>gwj^X6Sj~zyXuV zG%zsm?%g|$MpIZ=NW_2e;K7wESKtR`)3tqkXs@fQyL|bwR;$g=&zDFf27|%b;9FW+ zh-_hRZ?7lUWvP&Fj#kBuA@Mr!au$2<-o0|U9F`r%$DL=WSu9q2dpk73VSoSr9e0^B z{{I2i(v6{)v)DG+$A?vC8S0hHDi(p4v)FFpFhfnHQVEq1Ic4x?%Gigjh(Xxk=E2a* zS!_3Pn4#wL`3(&XGcz+|V`CRDUL>5!DPte95=G!X-ppdViNj3vwQJXmMk9;Gl1ioI zT(C`2-e-{a(p7OVT*<78Of*=i-XS+Pmq?C4u(kI) q4Y5?vnE-)AfIuQZ03-qg0N_8+PHEo+$S!;U0000 - + + + diff --git a/tensorwrapper_cxx_api/inherit_graph_11.md5 b/tensorwrapper_cxx_api/inherit_graph_11.md5 index b44bbc6d..c1992c7a 100644 --- a/tensorwrapper_cxx_api/inherit_graph_11.md5 +++ b/tensorwrapper_cxx_api/inherit_graph_11.md5 @@ -1 +1 @@ -1b87b41a3f2d90b43b3c51f94e080e99 \ No newline at end of file +881c6a79bf994a09a51b2292087198f8 \ No newline at end of file diff --git a/tensorwrapper_cxx_api/inherit_graph_11.png b/tensorwrapper_cxx_api/inherit_graph_11.png index 8034b0b0427654aaa303213351c873b2eb4f2277..0757dea6aa5a1cff9e7377cd7888a7b9809d2142 100644 GIT binary patch literal 9133 zcma)i1yogSx9(OD5NQxWdV{otbR%q1Qjl(x?(S|ubi~(z}HP&8l%sHQ!D_luI3KRV~Is^j2l#zzLg+Lw-gJW?t6!5o-|CI*# zhhp?b3I@4H{AM)e$3h^K5E>>{X>4ZzOPl4 z7)W&==5#!H&Y4B^IU*v9mXS-y+MN11>oiS7P==dC?veW1$a74p5x?i(gL8zS4}ZKN zfMGmbedOljt0ehsnuK{TU}%$c&~Ve+bR*Gq!`(eGF%=gV*Pp$M$T*Tc?`e4^l0hWm zLowaT15R)X9P%&!e~#G9g{bK0P_=7pxM0kYR=9x;EAf_9z5i;aOq<1IEKl|)4^?Eh&F%MVVT{2ojdzzK&H6c_JRJ1ZoxJxKRH z)2#U(%|2NXMJ7OaeSW~>LI%c9 z4m!pp;RdUeSx|rmu{&Co(9qP(1V0Ox*c8H%85xveFlbn(QEhE4B^A{JSWe~O>FyNb zF?iv~Yh6+8!B3u5vP|VQX?0iHuSsH%aLW~pUBUO~YH$e%ki%gCBiT~a92_d=pRH8iO%T306nAiR z#5Xd#o$2llH5p8iSzljQ)zFY$>yD;_IGz8|{XRLf=rb{nrKhJC_t#%p#~d6fniVD^ z#hMiuWRjuIG(LZlBTH>Z$3u2z^(p4QnR|L5LE>U!47b?$<)$w9hWLgWUJbn?i`ISR z_qBf=*{`p!FUUM9DvBmXnx2(4IxLCDr~m6qG52@xo<5)q7JDrrA@SbEhGpD)@mDg> zW60BI&z_7O!{Lu1w>R*iwjcO-cySvfB0hq-d3kT0ow+nMHI*$aiVnNocE$@Ujk~cj zZ9L&MU*qCnhK7c+@M7&6g~GuC@f@n>OS zL4i!q&56_Cy#~>$m@e#gxcop?RyN4vZK3ML!oUCqL`h#C8{`2gzZ06}WO3`o(OS9N zkfGLc-6P8O?;6^}kx-2aK*xPO1^TOG^}BSQ22z8k?GMiHO2VTkf7$ zRaN!$_WHN9w7k8Ygi{E45P(n*3=Vz-gW?()8)quf$L-YC*H>TOc#*wZpRER4JFZMm zz{bO)Zeh&B!?WUQJvEcWz5g?ze6@Ld##H=NerL8UxajO)@64rg$yn&g=4HiD%BF7o zrU$X;$IiZw_6`mK8qAU(KD;QnWUe{HCnYVOcoi5JXn%ELu2b*y*vH4`@bt8^JrtYW zX-kQdlQW~TQnf%^Ljw&$#P3wV_WiV>|MvFw=yXbd?OSQHn5ZZO1oA@x0RgL}X0kvO z%r>woaXTU+zV7aP8^4l6v4t-nHMUEVDk}KZ)^oJ;rQ=y2@~h|>83VvmyBw_N-b`Fi z&#f&l`_Yl#cQ0b^ z!4cN?)mkr6U=IMe6Gs!*^i0}WfhgcXyGd~^x%h} zv_0<^nAO{{S$1`FY|oL2Epys_JKyB_3}k{vjZLbOda`r%V(Dx(l5tnSb)HGrI8ULa zxIBMDQ|iL~0Iz)-&zj)DqTp0Nu^m)X0}~TkFC=auAu?*IPeF3DfvSw1KR)#1 z008y5y)xHXjAKwSu(rlbltUpQA+egP#+3R*>JOp`LP<@HL`XgYws9m+ zPgRv*b#2Yi)HDAyX>$aU6U&(kN=UMnyOpO2RtX6GZ9Tk8P+osd6Z|m~@`wY!3 z+DjG}OSUW%4gZk=_%-oG$iYs&ZbbZSlzTGm-AidUK22cwb19A!qG5!|QR_l845L!r_%7Vs?=-T0+1f0jzcJ+98t9?P_K zg!}&a>U_qTvYF(Z6QxB%Lj$1M+>3zHK*v`KQ`is1Z+cn-2Nx9egsBl z{aTkzWFt&8e{hh9Zt7|vdvM+i2^L6-t{`~RKY!;rF5b9dGb9n^cJO}~zg+&i_ zV2jL)8D}4*I~g`n4{399aZzz`J+*DQ<^C%+7L)9gLcJH{`yY9(?=m!aG_1Fg6a{ z+A-|{sF*DSX5MSY%G59_wRr&(NvmRirk*yPnPH+m>*11vTbpZ+;L;Tyv7EU zZJWi$@OR(TT3cHmeEs?r4GryQZ!F!HS+%9>H@cVeb&mGyeNUOSD$$@Z(r)xE^|xHc zT^Nlgqi?2bY|}^2_7|H-@M-06?)<73^LJ*sI5_aBB_nZmY^KW|AnqW$25V;c;X`ix zRKYWX`PQ#5^Htrk)=Ecsp^fId%A5iE}n6+IXGc!{o!^0;_{v75yA?2%r2k!2Rs}%Pas3=&ZVTvNR z1f89ovTI+@Ds83)Bdz)S=?6u>ahML0s;aB6%~n}ntb|ff#`l*Sv+^`DbshOu|{`Gkt^Wv;A7fO)Ofu1Vn8G43x~>-5qhS-D=0{cQLng z7t-W;zB-&K4oPA~{jS&a9Egl=aH`B5Zjy-sS@hU_IbUm!wB!ZHlzsDt-Ql-%P)G=R zuezSzC&0Fi!8HUyU~Rbx2t>us0&L#*4xYZUx;pxY8*pI^3Sm;;i*}07$;lt3qRFeY z75|PJkO3>8kW^N3;@|>e%Jqk}TqCllM>;1b2hBNM&^-VQph!qNuSECu=0-_FBW!f^ zE#xQAZ0ueab}2%hY8QgeJE{o@PJ6HUMec8&2w(4M_q^9;cea4uT}?SE(I*MC=PQy3 zR1T!kGc#k{UY|=D8d52w@Q!TY<}V**Tk3|xd+jcfAx7myAW<()#uOhwzy<|I zM`Hv2Aka84Xkh`>saFkJx-GdZdJF3?y=b{_2$70T3kcIo;22EV?26xf32I5X!@BIr z{@gQmcJ}Ee&l-jOk;HQO{3@RcS=W|uyQ`CJ0uqupFc?q>m0p()KPoG81YG|N{}=B) zh5wuP!eGDG*CiMj7{uJ=4vi=>Bzkqddi0FTNV7?As0Csf-kFnSI4^?}@hfkbYr zJUq11YH)dp8>7bV=H{j(CKfR2;_l`)T<^RamlyS%D*}u#`1qxEHQI-F@7^K%5ui&X z?}Lkk4>CXm6QAHvAQ zgrCR7&HWePqdTlRwVxqMFc|X0_;`VisV4#Yqt1?wVIW9)#>e9Tt8H-dHLnm65)xu~ z`BI)iLH_z%adD)aoE$w5PkdMy7KO0f#C&poy9-P=B8R28yk~(#S#Eqs%@7(<>k@F#l;zn zWJzc=x|Q3h+yQt$0@W!iBSWXP!Ov-FSO8G~j-jrstR!%n%2>L6r>|cMXP*#TxC0Ej-LkYPWTC;ey}$oSgX=+8z@sN@20#5=;&bI2uCA}w z_GT)GIL&bWrJ=YiCo`(62?2_?C9+r(JYA4@?T=aX?K*Ia5C)A=Fijd8Z5G!`GHl5i zttrJs!D{?ov(7+(4h#&Y{i#hyxn%Ega_73q3EuRRc*UYSmO|<;vQ)9XI8UDj12rO- zF08vf>R}pR8r2@k+SWyjGcz;fu-=QmZ*vMXznIg>qC)quW?o)VG>NW#8i{RMeqNp! zOMEs^2D0$?@845Gp<>B-TZhw<6p==dg;y7r)?34wW@cuh=H`WLqA!`53HoL^0Is>Y zyBh*4=VJ9ED`4{vR8+>Wy7R0t_Av>x@hT*M5g{ff=Jcs`W`-Cj>{@qtUf*@MHo`5b zuQvh|U8BMT({DqY8KJj~yFaZ=wcK$rGc$jViwgom?g{)6Dk?QEFOj^wJc7GRYbvPbU437e5Vh^*Vl5hgImO0c>Jt?em7vg2>Q}GcG90PK z04)$6-a7eR+kU0(Q6}|paNghBXYU))N!C!oz|a32VfT#YzKQwrB{(OC=8JQcxw@~f zFZc@M<)8itF7cU4+yLkY1eOeEye8tZh?^|0t8Wgvzf70q9Ssc(ym=p_>*Mh_th_qok}%<#hb=yyM~Qe)eQ{1b5w} zE^m6=b`oMY&40Y_#k;t=GJz{kyTimZ{{&@eG+j=(Wpyj@K zELvdO3_}zyG(0miQ&3pgDn;Rq94zKPJgk&zZ0FJ!Y;AfcN8&l12hzzjAkbjTnW4 z!z%z2%j@g8jsg#o&f~eS$0jEU0h!_VeQgU6?_#3VCpeMAv~6yV#JDR`SyMgPB~{S< zhn-6+a6Uxglm=iE+Dvs56F3d;ylhhh>+s@Ptbd|XG=9RR4uL@AZh=?e&S>Vqs;l3_7Eze?@s(0|@O|KV8pIuv9LxQ&LOnf`79{5yN zMdo*LLHT?A_HlPKYrD3sd_e98-!RxOr1ixhc;n{!B>=kzqUMJfkmly*o}nQrAD`x~ z4^Adl+1Qfl62!#BWo2c44GjW5nAq!TRA5fC-TU=i$`ojboUsk2$na%KuLFg%9Fpm|@N_{YaT13C|j zTo5he65}jSKAFvSQ4sj59i5#kQ9O${8>z28paW(ODi4D0ThCRm^u$oNRlFG+8$Qg6^-b z&JS31Br!mmf^u+jjJmYAh!PXi+|%blp{aRbeCgl|tTDuHMXj!?#`pL1h+12}1pYY= z0m1mjWqZ<@@~*LjN{RD}LAv&h*ygH}?V)=!53$#t9Y(l%-V;wBKhEqKy2n4;3x`Sf zFl|i@Asdy0H6prY%NXMw;@bTqsHmV2B1db<(FBU3i!!A7tCp)ZFK2g4>>qE22%LOhF91ovq6}denU*p_hyac z;%si0*XM?D;MY5SYlFyBK|C4Xfkb#q0>`GW{kaV$Nap7XsiR&qDeRNQDpNKft!8zM zEG|dRNaC)z4Sqtb78{Ad?xkKGQyR1KgOYS}BWc+E$*$-9zAt|2b~O80{$A(d=$o$^ zl|86ZpP1R5=$ptl-48|zIfe%Z2PIvwrHnvMPtevJ{$F;>(}m zoLlQ>dt@3JMC8G?x|@$N)K3O{#X>RH$ue*!^(1 z1BCkukeOj&VWLJxS$!V<{{A325jsa%ODh8CZ>#y*a`9cxAdq^2VL|Dj?5ytBED;Lt zUI|VQYE@Z0{mQHvkdl&OlN!%1U#qy~?)}h{-Ok3r#$t30b@(L>-eWv`eBjk(SFh-M z?sKWCsjULYg7^XZ3gPLFjEs0_`grM1Mx z^DKGczbzy{z-?Rb6XkdBa^L+oQN2wZJyoh7nx0MpMk*Oe=T8^qRl1ZB;d`!Z7^GD3x>f?w)4~9+S#$C^4bRg&q1K-W^ zlBJEu=$NFupMmwWJ!jhjoPFA=x$*IF7$7D2OE()laj~)DfVf)k03GwWqJrc0upL`f zMMeB0;Y;Y7H*Y*PQ(dl<38@fB3m{L;XDiJ?f2F{= z4)~ftf>(vNkBr2y=ru|^J3GgH{w(^ou<{r8UiHWJ+ z^?OHs z1PMu3km4&NN2gJuCmKa%k}aMo%GAvV9VTa44oDk#v_=_o)z3sa6B z7?d<%c>yih=P?ubv)J?om`KQez%s5%E3JS(f2&C0cXo17r|6bfbNaX|1a-K6W!@{q zvEt>sZsX{d;Ouqhd>0p&TF_nt(e|k|5cONC6yp~$+E^+^Ms%>H3Bum>dhys0;5AOy zJ2RE&HlP5xadTGF(s>Ertn%=RYHAV^zPmu!6i8pbd_lv;?go(Koe7K0 z-Mz-h2lI3VWBAv|lb&`qMO}4;TEK9w@#-xFxeMC32-ve|e(~ljCGgG;ny*=amRXD! zaXU09)~Ulo@Iv4(V*<;t&T+GCV&ZAb^}+!sxgesh85tQZ@9h;k>Bq2yV39?D-eTO> zujpgwPo4z7l3#~V67C)-5es>6Ha0evnGTWf%~m}DoWfeqW9%=tmw;*|2E12>K#m@{69q@0&!*+He0M4x3T*AXXeF_2oM4yHL z2dnYWn(*tYv~jw!#ZX5Tu0i<;j~hsRwwITeC~V<)X&`~!_;W%6!sG!4kSI$$H8pki zLOsYqG%TzxFe|(JJ8xhVQ1kH-1I~MRe7rM!rK_vEvb*~+A%SSV*_*_njK zzJLGTAv}w??920iC&lLig4!lv{5j#C=j-T zzs{PpIsi(xeXH{IaMy6Ag<>#_?N(;9I1C4fQ(Olf&*D=aRK zASX8$5aX71dz1I?5neJdAArmUAR{z7Hde*rd(d=lhtT_pi45M~YO+Bqi;D0gJ0O-T z$765+CO8xn*ns_z^4dY@6w?S;0(0~8jeqyV0KEZxY>jFwV!-%^OZ8h^rmBEHy$5`A zd^&}3zQMtP{sh{2I>9lOE95hyWkmL=1W)ovoaeCO{z%&eG0thXEXog>f61?a%AW=2Ulzd9=LLI>TBok3nA;{}7sV$Be&Ocj93UEcV{tbTwt z1_cKb^J8?W;@zIVWO@iB7m#C%N=Iy6^~1mpUD@Ba2IZOtyjJq}s~>EW)N(1jxL8Iqj7i*o$^zDk$snr8;_-z;kE0rr0$`9Jo{4#5ied+gEp0hJ(lBVt)vEG6dDB{{ zAS_01Zf;am6jA(TC6LSIO-)S}PYGdBnwpyAayi*zqwmz%*l4MI5LN)guoV`xCqN(( zAdm+9s?BoGKjM@OM& zSXfw5QBho69F0Z`3JQAl>J_wCR#y7^`%|e@4u{j*+Y60qwfgYk!wd$))z$ULks~uR zGenTW!ot|tSVu?4)YR0Vpde^3Dk{P-OeT{70J^)o>2$hQt6kyW(9j?d2rvwzP$>TX z{>8<`#Jzb~SXeRAfVA`+qZ9j z`t&I=nFhn^&#%R;3Omx$qI`>A|fIlJa|A9MIsTO&zH$$8ja@s`SUw>?p$78 z#&J9}G}On(r@Om*VPT=TxR}9U=ybYIpFVBgy!p+WH%m)PQmHgAFAoNZiHS)}OdKB{ z9~&FnyLWG5Vj{GMhK9Pixpj7SYPH&#nHdU&GCDen<9K9bQ4wRzimr{$wgDDh?ewM7ZVW=Mz;SAt6vt2JNQD zXskPep`jrFfJ&u;#n#qVC;}5<4T?a26ze5|-`x`o4-W$XJUu-z48t&N)223 zBe0giV891^dwT%D($bQ@zkhvw{e=q`*lhN(W5+&x_y7Qq%jGsUHhzA7&>60x#QC<5 zj}OrukH>3mZEbIFkBW*)OiXNRYnz{+mrA8P9*^)L`!_Z=hKGkcI5=P!CKiho3I$OW z5D-9qCaU!9rpHL`&L9eff=Z0_Yinz1X^D@I zcXM;|@bD-vFL!Zq2?+@ydB`E=;JyI@KLdzNCiC+0GG;eD zM*XAs6?l1hEi5dk)oLQGUmIwsduMm6er|Yj5Aa-OSJPtTf~8iUPkZEd5YqwVbMcI?;z0Emx|pPijGCIUY{ziZd7rKhLU zXtdni+ye&=kZZHEvkMCgJv=<>>gry+c(HZsRulGBjZq(oL^3}=&tx(M0zqbGCSf-g zmOR6zN3lMT*CI1FhJOK}p`o?4wdULZCcwIH3=w|;NCXH&e_8Zjps%lQRrbFdv=ShY z2oM`t1mC}Z#|&X(W4Tw@zJ2>(r;d(}yLa#I=;$Eq=gyrY`;aek1_lN&41+&?&5vV6 zHm(Tl?Cgl&Fv-cu$B!R}&+C3(W*V_rjN|zD_;^G_L{d@`aqvfm#bQ-eRT0Iiswx(X zwT3v>Vxx$_*d?q!7Q4A_XlNihrO{|tuU?&-o0CeV`YG+-zkh0Ks;8$1rdMBIfAZu> zgUOqYV=Xp{2+SulGxPK3&#zy<9vd4A4h|NHL^_=gR@Kzhl$4ZAOiW~EW@cn$;5a@w zIGC50_vq21>FMdx($f0+dgyuZ;6aT>)7RJc?%g}NT%M7ULBzj*|NiC6m%n}cmX?-g zW=a$aB|AI&)~#CrfZEzx4u|uvw@Moe^2yPLJuxI+2Nu4$PDn_A%eY3P$;ruabab4U zm>}EXb75hjN~NOH>C@BGEEcP|x%v6?=Ts_nRdFl^_|s1eEqrqg0H~;_z%b0i!=t;q z``NQ+uCA^I6JszKd_F%rJ9}YaAt50_-@(i{R^bmjEP~gsYPH(M#l_4fLZMJ76zX)k z$B!R#xm=}EN!(n+&)dY!H2^>?7MGWoo72&$Q>VCGZfR+$!OLay<5-@JvJ#lNF|_c_ z^{U`-I5>{y<>mcm9Luv&L|{Iayt%dj@HIj3@#9A;BthOFY}kz%h;?4@dttapQqr2M8nr1QG!PAQ2#d!Hr>RYO3Y)Kv - - - + diff --git a/tensorwrapper_cxx_api/inherit_graph_12.md5 b/tensorwrapper_cxx_api/inherit_graph_12.md5 index 40de432c..ebf70bc5 100644 --- a/tensorwrapper_cxx_api/inherit_graph_12.md5 +++ b/tensorwrapper_cxx_api/inherit_graph_12.md5 @@ -1 +1 @@ -d7426cf6d7cdc703ce0dd596f8ffb4c3 \ No newline at end of file +71614928882320364eb2586cc9388ab5 \ No newline at end of file diff --git a/tensorwrapper_cxx_api/inherit_graph_12.png b/tensorwrapper_cxx_api/inherit_graph_12.png index ec2f5b662347df4c2f8cc7920170bfd550f33e10..63e79f4118a1c1085aa0b3083bcdc714dc3c520e 100644 GIT binary patch literal 2230 zcmV;n2ub&eP)Wk3B1usKO)Zo%B1)SNo0$(8n-4SEyuUvV+~3u0_d9LP ztn>Qop3nK5^Ev1EzGr9WGsFmj0EmAZ##RpivGpJkAdm(*8c z1z|CAb8{miBFN&Joj{>bw6wHXd`Jk3($dnRP$;MtroK~ibF-z!gV+Kv3|nVGX95Hg z0Ro8t0gwnR&)2VCF$|lVn=@~>;o;%;?%ms5TO@*Q%&+|6scc3Bd_KRnw)WR!BaC6< z3itK(ojrT@*TbQm0I_iq96NSwU|`_%>C+g7g@=a&02UV)rBbQ4x3`m%lSm{QA0LOF z!NI{rMMd%P@i>nA`T0G6{v6sXDk`{KuD!i|R8-X9;2<>4%*-4=ew@W(?cKZg)TvYR z^YdgUg@uK&v9Y^$?aIi=@bmM7_M)O948!DdIRK!)zu(c(QLELi^KWWu5{X0@hA|in zE|*(eTukQ8gM)($3JRj4qHr7!2?^=x>7lpN%#j+dq@={x*B4e%pQom#L?RK6;{gEy zt*x!(VjApLe}#?B!dxE*fS@3g$<|p65*iwM|NeclC>D!_LZMtPSE*Ead3gs99@Ob{ z1VID^1+m%e{{H@@rKRHHVit?Fy1M%D<40?2>+bGujYiYk+k5%)W!OnfOiXfe^5o>? z#Kc5gTwHQ;GPDN;1-ZJq_Vn~!duLOXo3l}e>tF1NS0hYlp4KYs=QjE;`N;=6b6003XUe1V-n?L+u{ zeoak{N~LmibgZeVNl#BF2qHE%wxXf}I;``ja_7#SqeqXDZu$B7WR<_aKh%>!JN+Du zg(Ddm836!HPfx>QM@I(~0Zq3CMW8$@^_Kn@xrj z2m~D+9bH{r5fKr|$;q9aor{Z$y}i8xfq?X(`ZqT>hlGSUI5=P!CY4H+N+nt4mx9ORnX+_LXl7v+HX{NC#@yT-Raq%1DKyPf zQc~L5+FreS6(1iT9UZ;AyzJ%WrPXRDCMKW*e099MykL=f*DVkTIy*bt+uIWo5?ozf z-QC@9-@fhQ;^Ob`Px_Gl)6>(LnVHwFU7MPkT3uZ&FE5AZ1_=BcK;&|{r>CbeJN+E> zuj1F?>FK$&v@|m_L-zTfOGjN{`dOHT&4|Fw&24CC2o8nKW~Zj6N+gm`pFS-wFTZ~M zS}Yd-`0>M7+xGVMf`WpPk&&N2f9iBPjYhM&y6WTO6CE9$lan(wHKkA}E?v4L6bjwk z-1M7AMniYV6`05J;g0iwQ>NY?HcJAotxMRnTzP`Tl@^WfzWo6}y7cUkT7H-_Q zp;RixVzDv1>2oxAFy!%ghYlUOaN)x2?5tca&(F_?4m90TSD1blW??fTxO(;KvuDrj z?Cjv#wXUvi|Ni|#p^(L5UA%ZvB9YkG*cfXY6BFa)S_%gY}=eCXid005B5 zWDX7v2M!zv4Gs11@TjY+GuYh5#wIc{($>~CFfb4RkdTm|R;!JPfWzUGmX>B_X5u)W zo11&&$PsGoxpU_V3k%)d-5VMjo<4oLXU`rQ`-bMIk4z?8TwLVwcp{PLg(%GxBpE5vmXo*e*s7Y2t&Ut`WJZf=FNuee>Z3+Kp+ty z{xlJ+tgK*$U@|TDv6YmRL=Bykl(eDd+cD4nXNkbp)|UL19tyW8=QZAS4?CgC0{Q0G&CH*Y0DM4dn zW8vKwWO#U($z+mqv;@>k0}Edk8B4rEs5^nhveg7ZBqkO`}gm^ zfB#-pRrUDsV?r+hXiCt9g#{ePySuw#RbF0RQc}_{udY#mSyIWCffRv-v(<@-iPV?m z(W6Jye#lHNd{c*qhu008Dgx7k=H%p@IB|j?h?SKU7Z;b-*4E7}nkndu;Lkb}7{tQa zYOwZ9aQN_HgPGj1u`w$vD>5%^5YvNZXJ@yxw0!&at+~0G$z;-}Va?7q5P^lW)$1^p z$>nf3I-L%_>r|*&VAF#J1O$YIh1J&9R#sL@Bob?DYm=77Ol*ULp@p;6>oAtdWwY5L zkti!G>%)f+DwV3by86kJCtz(Bctb(6v$IP}OJBZxX_g-lZ-{NM69CI*tJgu3$$jwP zL118DVq&6?kI%rsKwMlL(95%%9#kwAGZ>7xxHy_`Nxuu~9{Wcf4F5G&R#tZJ-rd;P z_`3sv?RYT!7a$1Y?%lg~c6MoLX_k-v+eI)oHl}|KERjflciip8&Ye5U%F3#%t1Wya zg#7k9c@Bp|pnsM4UuZO%EsTyn4iHEL2qXdoKq5c@g9pQmj10?<1F?my*$KS7ywcOt zw`wQ|%aER)PUbHl82bK(KxYC35&;5<00EE)5CDMx0j`}7eoIjqHvj+t07*qoM6N<$ Eg1Ov4asU7T literal 9361 zcmZvCcRZE<-~Y+TF|x`inH?iLLOMnv95S*uQDpBC8JYPAA;}KOCgWs}2+0oFL}s%0 z{=M}5+<)Bn_eT%sp9+`s>*T~h^`PJ5QqyHc^NeX0*3_NyCQMmXMq;4 z2fUm&Rg{xKoSuEZtIdi*AeaysnY$VuNz3C;buJE$Al3w#nI2;9Sm{toAw+Df$vt?p z{eA}JF?mQ{x|hq6SzvoNv)RzXNPIv|jUaj5zbT zVL~Po=J?gfKC}|EAoo4t$w@|U0d@=X31_uU0l|28WHgEbp5`5~^+#NI<#)Lo4KH_y zqw(NH?-dGu_L!2nArLjxZmSc?iHYc;2Z)~9ii(OH^(?h82h_QSJ6}6HV-+$3=OcgNic{nysk?jVIkL|R)~MuvyuWzsbYH6UU>krL8Szi;|F-Xl-rn z?|1p^j}IShSWXnNXG5k}RM0ZJY|be$L=N`$_U4?f|7s2J_ec7h6zlBl><|(X_Dd5a zB`1s6j?B!?HqSa48W_eY13E*tmpRc>*^n}2dtt|tdybh zs45s=7!4mKCFS0;I@ye;JAdNq>Q1oMgL?Y<&d$z*`MLoj0%k2Q8yfCps$Gw3_xAS2 z#l>~3mSHI_DXH=~_LP&8Gc=?RYmRPvgu-}wc)X+&u{%9EMq$`csE%ZGxwS86V?;!R z*X~LgX)Y%>|R^78ZU;ByxA(#U&u!I%x7rW(pJ#6!aYw&`CqA=`Bh}Hw;j`R$w*K$Qv-= z72)HHL}5Z@N~{NY$08z0E)m^xbcFS~v2y1+C#MuL_Vw$Z%^_rrEP>zJ+t+2+C=hdV zb8iw7a@BG?#Eh)0I3s?vwpy%C)K*Amos2}s#56TFX4}EQ-cL9=IW_LfTA(*+7v1Ep zb92ieHMO*+n-$}Dr%-9mobvLN;ypr`hDA0+aCUSwW#FqjOiW0BCZxD{ZA(kb_wQ;) zys6!-e7CNWN@ZiQ0}~Sx*RGi@k6`WW>>fOLK*k_;2N@e1TRd!2tn(86tMsOZBSVzD z%yL(E_v-gdMNv^v^(^HJBqT>uA&d!$iLgS)M@QKbBgdsBB?blt_wV0F`o9Pd*W|d= zuTM%!I#QHVUiC>Z@`0E8?dz9_%*@QJIIq&vuM;P$pF21Yg({5<+a8s~pwVdRFimy! zjAIK!2M7M9-=9B!hQg|MUHZ`xF9@4mUr*1*))syH_KcJ0ir?whCoHx(Y$V9@=;+92 zZz=?K(81xMzOL@@(9oaZ($>bt#NL!^a?2~(^>OmuYF zq!I>G>A7vCuHM&`jHV*GCohjQ^y+TS-fYBXWc=D%?94E zq~KRDU&(0qh^DEZ#v++nSt?1lZZI+Vb z^~Eot7und@kZBzq_b*7P)_TC?YKU zot3ayr^fqmXKl@aH;#^mM#O$XY}q}I&zOOc(ca9=d26Bf&!0ax%v$)%cCB6-J~lTO z77>B9JCBclPez7c1%Cn8|7ewL5P>M_^2aA8mnxFZaj>wM7qb4rty}UwWZ6WX8Ob6j z=seXJq;Uqv|G`Xn;qeflN4%39ulKFjUN(6VaE%br;P?B}I}uv7GiW{E`O&MP=_B!8 zWB`CWKfl+G%`+8&kS0e52c42fZ7?kGDdLAQDiVvMRcbj~$GelOlOCQNl9G}r zRABdfVqziz9^TPbpGrk?rJmO$j-9pjHJ68_A)g6-&$a{^lrajEtC8zG-=(XsuabOw z8&)HLzW>#S-Y2}qbyqK6j(_`hXnPz03#Jobr)_ovS`Hv*ZIwL9g$p@{ZLqUXC%jgt z21m+scH;)}v;o8B=jL_>&oe{o3GAWz@`09?_WoP`hpiFx6ciL(+J#?sMG1qX3`R+r z->Y&U{Q+R_AVtyW*5+o|pK!zb2{#w#IuonimMMvX#2D=NH)i{lzKSotiH`QSFKHqo zA{w$0*8GturQMWN_^y0sI1$ibXh_G)%L~wuO!8>0IgI8--K$&9tZS{2jP^qxKX-Ml zz~s;%@kZ(oS~|t(pn<Ur7>mmOX5*8nsh=!yVN=+h0C#a(oCkU;gu_YUPHw zxHt5p?o`Rh7cX?GT&^pdJ$(2uI5;>cD9EBKDGeQ8>azG9R^YLPMcnJx6;)MpGc!zq zEG#TA9fby!EOG7Z%1N}8lKc=Vw&=;-K}n3%Y_3XR*ijQmNo zuZw^E8Wy?kQOd%?f{(Ar_jt*8Z#B4X;Z&^@;m7N#!~uMMXtHgTxNO{O8#LGhtUr$uB7A z{PxYXbl7G4N%ar@EUtxug0eCV6_uhseV3pwi=5Bd+1OSlY7b#kxVgD8`X1frdgmf| zjU0J4dH(+X2?+_X&G>Xa{`?lpb=ylogM0Nh>{LrrQz>uWk%8W7)3;|2w<=ShWnAI# zaJb|#^ek6b*X!4>TmQ&^_#*J!->sS<7fBS<2#b3y5c=k}rt(1NihB&3l9Ri;q|1V; zf`Y=MNAK(Ee8{vPaV#iNgf&}XuSl|lHmb@SSg<-MDz>Xg9&gR3`qp`FbH=qBmOY6I z2xziM^_JaL`p2wTeTL)rFpbmY%x^qdDq$^3qlcyM`nxjRK%zueBy)AL}W)@yw? zuC&xyPft%;I^aH=e!b6e9x>nT+n$Fz%OZAT3j^JE7KuEqFNVqhmxKPVk}9E@qd`D= z^_JHTw;}Vo9oO^v?H~G~p`lKdM-9($A3uH!}u4vZpa{w9iz?MHt<63_qLyLZZ()rZ>9|H7I#wzroPYTqt$FO0WE zU6Y&eIb7B)H5a{gYpm95aBz^O_Y&pmLskdsu-W-}pw*MEN=Z1+e`Z8VDBQpA;^J~C zR0c*Suc+AM+Kbk-UJdBz=m-uzFDKV3>OA-Jcm4VE=UtK)Ka_Pp9&leC+3pmXyq_ps zVE=ikCr0ry!cTI6%&3Ba1@@?X7W%yCGBs{leuwA>zSLgC3c>)8=t5d7}WS2 z9~4R^Ws-zl4?>-j%~y;|kw<+pYk5mL#Gsi=9iOkomRFE(16<;DyY+gy!a#af>+Tu{ z<41WT{A<^)2?~}55RmO0MQ<;)b$9czvCRdLN$?8`r-;}yG}VqZnJO@2{Gx(UZNxMT zt3!?}Z8019`EPwxDC>{Dr)m7)irrRt93b@|OSK=~?$s|ZTLqFQc9xV(6XMN%`jp}A z%}#_jCzZAzLGQaX$$vg&N5%XcE-`V~uhz)j_w3`ZNpnhmzd|*9P3wJiy00?Pl{`;O z#Hq{u#gszfv3F`YFrPy2o2t4wjbTLhYV`{4A}`Z^EGT%&5)~9nrNTlnJghr3touTS z8t1ua;`ly0^Wn~gRcEE2SddCD@vdBWy1x-qpx-?=FKJP%1MPRPIi>#xhYdQLn%m2Pg-6BEDgu@EaN7G|=lpstMP8Ta7wUj;eVlqf50ZXvn% zJFiqgmnW>51rvDMA&1NvxRSXs=qa?k{Ci{L{O>1z--w9r87j8(Rggtm1V)~(sc8ub zuA0g>v6pP=?{{!$Ip08zz~GQ*!v{`}C%vlOlKHsut|6t+;wDzuxt4I)xZ*JK$B(bs z-4qZYCz2x$n%mj2_wbBpq9F-v?0xgbKwP}S7U|c;gz=jq$O@rHcg4nuFa^p}M%`rf zyh1l>-s!pId(ztc!>#O&2`~BE_(VD~n~(KT3YmL9I1#~7ldPdYR{Hm-;7C@C{12=UePCI6&Ri*^^y0X@QSjdUv zL#K%4d~N6QUAwcs+5PR{fQFkIFn4*G{x%u=%H%0JRnnnc0m0w6aBEzKsvh6uNeLDk zFVs#|uf@5vI>A%xrR}z9-W$VCMNe<#?JXW2{Jv0yxzq#mqJr~f)%&8%`$z;0KWS0dA5cDmdi0tzl!s z{kQc3zZYWLN;!(J0B2yrMRC%0h-^BaG+9U-o+6ghyOoUzd=O z`0(Mw$oAH-%?>c?)2%E?anCJedC#)pe28K>8UdTN{8}gg4(O8)nVC_j>#+)_dz`?J z!7R}(Gyr~hkzJXDkg)g3&Hep-XyBqwGxD~!%P{pIemtojK}-B(I|?+Dfr6sgWl`;D z{1P>_`I9HWz&z$UE-zmcxQ*M;%^DdI;d8KM>FMbSq(W9UI3SU#J7Qpu6_e_$e zKeq=+dfm`ww=Uf;bNmAB1m&Ipeft(@$rqNJFmJh@;0r2JWATZE#l(h za&~g6@>ctFhpED2oyEscOAGvnq9S%o^ud+JvGH-TtG61C66~mIbTidLM+dBg;@Ugg z+qrmog@uK?+S`|e+ZcIz(iAqJ{l}E+!H#f)=yJ~(X#{svv)*GNS*l`#0Wm0 z^=6u1E#ZPfLbcEKOS+EP*x5sZf*u@>S2$kVeiIYZ2UN>TUptE!L>_A4)K!6 z^N|d&!V3?|#}SB*;02-3fBlLEZHeuztt)hNii(QBX9NWVeiRxm&CO9$QEmVH9AISo zCihn3lmodGz!~tep`o`{?k+BmND=jiy>g6gk4nH`>PQle8S&84dJ`4~RG08BImkAm zAb-#H&!6ueVt4dO4zCEBlSs+uXt>eK>*`)k?4%BB_Mk{LYMRWt9Wv}nOwudRO}p9g zLWX5|z%f`WZvbir*bi_d60gDiDS=f|#9Hn)E5_m0)!$xOxw*f~ZHql?g{m|``RZ_M zDJg}!NfDEh$|CUz2vQ||Pkt2WgNwJdvtwszx!6R`A(eKfxcWK%2@9*fa3`aeTmKU` z2S@h1cRyi>6~1sQ505?Ij367*dY?o`N8i5f<7L2l@*%^G`4W+rfDSu5d$CUbCIhj) z{wQppN`nZR^>x*(k?`avDnia>9kk}>nctUAaE3KIIXEE6$RxcFZf;Ig`&4vP<05LT zyfKtecb1lxAW;P3ZH^DNHL9^#SE%mpdOKPziclF4xZy8fc64{!TUu6nAG*oQe{GNB z<1?zMucfmW`Fwa+Q^pb@ul_9>_{id>R~=z*!N$%zc-9^4X>m zAR{Oi;EYgJ43a)q85w=2zYr1-5ZK$VzJ2@lpMU-VmsT@R3m*?pM_+%}AvZqbaSOko zi+nUU50ALdQH2c4!=dUfvT`yQ^;Sk5D)h^jF9``(p5GzAbm=De7P;QzRj%`0$-f+K z?d=MRfBvWdC;^rTE)LG#vlEaFK(6G%uLzm7kO0>D`5{0qzkmN8kOpqQ^$PQ%gl6??Q+}M3n)#;J&YwK(B8jIPU%*ff7ny*?n_u_XTV42Xhi2}f)!AZ?r-yyY zo0)m^EaL0CAVmuox_3yhJBlCsF!eYSo(oS$Tu z(`gF9(k8+Gk6r%1{OzA<(k6lGc|xbVzEtIQv166${^TR&_Lk*&2m}X^J>+{e>{!ip z--EKMid*yZsk4B!2M65P1QH@AhCe+BT65qw6jE$?wXS)$_*5K^JwKOPbYr3)mFijv zh5F8nPZZwZ?c7TeL zJ;%q2is-Or(_&S*)*>O(92!~-3mx5rN#L+M^hlVo8F1Ny^I)Ei9zBbA16}HD zK#=I-oa-J-x)vu=R#tWq@B5Rt|GX$Kx6aS+IL}{oLUH9vLTs$i&;!3IISXd2#GYaF zPp3+U5KdYnRCM{TX{nM@#%J4_pYCflnHKk3Rmt3ym17jX*s(CCWhwhs2AUn&RpoF^hH)Qoiho=~YWq(B!DCO)dUP&7zez|)wYy$kt)ZdO1hDPgziJ^>(mp@es^-}~ zRJ)SducGZWxo}f`-SuoUQZ$+v{z;@-Tcbz5el__ii)=7CqhMF~iq_}5n#Zd&laiiY zXP>_w%gN1CX^380TAJcJF0{vDvA;T)V+N+VSz-p}X0KoRr|QicV+TftZu!F*s?_f0 zMH!BpgM9&L&Cl|{lV9HVJ&0-Q&1kou;GV!P9bv8U@ty}ZP8^?58P|R+E!|sG3!}SIs-e(+q? zNZFNTPLE2T?XIl0zPzzq)Vbjy8^ccLY71`c;DC^NJZ@^u0bB_bROZ1p#Xm0WMJHdI z$wWlTskpRcWMy}r%9!+A7$&2L#-rW;aG!!+;^>@f#KJ)D;9zOljIQ1Wo65=&$MA;_ zpFkM|r5D!Jq}9}%GZw3N&MK>^nTj*^@fOI)WTi3YFE74vkw|WI=q>hBiD;6M*l!BI z6FD5jc}?l2Faoj}8eXy6&-P@c8slTRBDoFrRLCNEq#h>aEggdU(UEu7W>1sG$Hy_z zHda=8SgTlh)bzTC^IXSu9-d}#R?0ST4Ca=WtgWnW`yB19)}JzzLl1yz0EALe>4pNB zmObLw0NZtK|LDbw7b7EjR@cCpPPkzf92$yw@?>Fe{g>k*TqT&ClarGLqsAHQR5=Er zkMc3}*tw4Q0CE&wf6IJmfw z^BM5&Zf`?+@nxAZ^vkzzzk$L6a6`M|rdDK&i9#(-P2I2?t2jQ~jX}k~dd2U)GFEt; zg9Ph(WxQI%?avT6L2Bb2ot;3)G&l!KEhMGoyQ; zqk*}p)XYX5wmMeX*WbSdtPu<;pS8~fP(Hv=wY0Rre_YTMsrricelddk@J0BU-y~bt z)6+A-Mrg2v$Hrb1jeO`3dQt*ER_N=%$lbrv9a zwzstr&eJ6?cbL5&rN1}-3KRYEzwE(u)6rTl5ufD$YbJV5gfnjxVx+v7T#9cj6rs-5 zf5$bE0R!zWk`NCEf+zo;zCLTvJFtmYH};<$`8Q251wy#@-^>m-Q1yS9Sj8rIt&Z1> zz_RIIfsBXOuGG)i}_k$dPasyiWqqIiLtTG=B40Y0ubvbU#v`L=scS8u%*474sH>+xjPZjbh4=5ZLSd>4Q&h$cQVF7`Jo0iel)rV=) zAi200HZ(8Yx*P==*X#Ov0 z0vHy!4>{k|%smk5|lV`Dj@NPsm+82a0>2gFpBYBzP52 zQO8?X$;ik8RsVnNEWH*N65`9|=H?Kxfi%WoFi=?hH*VZTLiUsZ=}3y$@W6m36Z!kB ztR(|)h`~})Qeffj>yL${zD`co7Z*qIVqP>)FOQaogoHR(jzMAr!L((4^|Sqry*&>) zx)tcB3|Pl zjw6qXh6&rPIi|9-wx$#Jbb+nrw_H5$Nk`{T3;|eAqpL}1Hz81m&?1oVB9P38)j8Y%90*)ZkfIQ)#KpzwaG$KVGD1U#Am_|KIofFd9I>(WtC#lCqH>~$NWr`FcPy}h>y2|&whK>sAW zPfTs@zj^bf{S8l(CJ28}IFK0cVWrZTkm+e@=Zfkq``AF=^2RMqPdkC&c+RlHk9T%E z4KeQn;AJ;iSp3tvKL-%Nl8^ky`S|~c=b&_-*ItakO9KBS`KN zQ*+-zg1Wrm#&j*Pv~)8;$odVpt^j!1c>YYFWoUQ}_6W*x<^JdV%Gst;2*O1e(ctQO zJp1AYiR-^dU;dtBIm=}KbJpc^kToLsW{{NQ^q0`j5jZt<@Ra=TF`3^#e*F0N|34$F n&p!Gy0S{jOJ)ZNw^u`IJ&4VI^rTJfH_eNmuDa#Z}nfU)dMr|o) diff --git a/tensorwrapper_cxx_api/inherit_graph_13.map b/tensorwrapper_cxx_api/inherit_graph_13.map index 8dfeac12..ab46972d 100644 --- a/tensorwrapper_cxx_api/inherit_graph_13.map +++ b/tensorwrapper_cxx_api/inherit_graph_13.map @@ -1,4 +1,3 @@ - - + diff --git a/tensorwrapper_cxx_api/inherit_graph_13.md5 b/tensorwrapper_cxx_api/inherit_graph_13.md5 index ac750bc4..c52fbb4c 100644 --- a/tensorwrapper_cxx_api/inherit_graph_13.md5 +++ b/tensorwrapper_cxx_api/inherit_graph_13.md5 @@ -1 +1 @@ -b5e09224d40a9d88fbe6144c5f2b7e6e \ No newline at end of file +14a4cc090462d8c47c5d7f0844482e7d \ No newline at end of file diff --git a/tensorwrapper_cxx_api/inherit_graph_13.png b/tensorwrapper_cxx_api/inherit_graph_13.png index acfc6a41a7de11f3d9ffcefa9f681cd9e6168cc6..64c07ee65a81dfac9440cd3a98c9616f3cd304d3 100644 GIT binary patch literal 2112 zcmV-G2*3A&qJ0n33M$|0Y$N?Z6zsNx_%U8BC8|IX>m#vmgYs;x!oY||)@B)SinUI%S$n$@3w&(xE?T^ME z)XwMCIluFJe&@oM^Bm64iQza75dSt5Uk?D`dyohaNCXHZ0t5iSk6h{L>A7|5mam3_ z@ERp0CCSOjMD>rIK%>#LwY7PDNC>ae*4C!cXvh{nd#BdcR&R|5;R7%Xv$3Ev0Ro8t zfkc1+NCe(za&i*GFr(4v*|14TN%!yHU*5Aw1gn_8`QXVcM+5?a;NioEf8RI48E&p{ zZ*TAMW@l&Ra(P5VL{LzWR4N@C8-t#F zKEJZEG9x2{PN&Dj#JqU%0@`b9Ya=5g0|NtvLScV@KQvBFO&vOPh{2y-5luoB_+qUh= zlPAPtIt**S!p>&lsn-F(NvKpR8;e5{6B8R68i=Y)CKHRrYPH&AGMzhjZs*ROi;Igm zj>pHxhlhvv_4Uoo%~e%ZF_}!O)%xkvr}gXCzkdCCVPT=Cr>C^E6b4C4OOr?>6B85T zkNj9}*JM-Q8`mSf;0^DHO`s*cguENl8gtw{E?A_b!g(RaI5l+1d8~ z#0V`GOMicVbaZr6QxoA9930%$)nzi76bc2MPM?~Za$$EdM{;*puU_Txc(4m{Stu0d zx!d-i45002}f)gKmeWf>xX7myPZ6R^6t zxJakd2L}h?0^PiM6WZZ7TdUQo)#|{&KsJ^AY9AsH z2KR+&)3!ULEO5AUUhldm0 ziA17~j*hObuH@uoiA2)b**QBq+tbq{5{U>OvVUu9YeGT-jYh*TOfHvewOXPnDk_Rx zCYtQ+uIEVZ&LLW@HZU-dSPCAG=g!iRaWM;zupALkDF1ybA|ir9p%{%uva+(WvRpi# zm6i4U`SUk#-ehECq^73M&(Cu>9E-&=K0Xc|;8%yk;lL{Su3ID$b#`{Px3_0zW`=}> zgoTCOzI}VsrcH5iafA=yuh;7f3JNY=x}?+TtX6AHO$|IZK;UNpQLEK#Hrtuq^&IW5 z;%#8F*>iJqQ&Uq!%>TJ`3_?d|R5<>kY}!@qz3UR+#USXi)Htx-`?si~^z54Ov$Bi2| zv|6o9CUa(Ye~u0hhCCi`_wL=NPMtCs3~IHytgH+=xCl#LVb`sXV0dkr3D2AiN)gJ;NY5?n#YeH(`YmRfJ&vJ z(P%q%>_|*ZWU*LErPAT!{{H?cDJcN~0o%842LNPdW}3}rXCmNox!12>FDNLW)9EE8 zCHwd9C%2wBaiXH4A}lPdsj2Dd)2Ev^Z+2l{(j4tksZ_JGvpgP8DwP%$6%lr4VaY4( zdKR96ycfB7FkAz~$HzA|Ho9+LO8}1_3=wMpBm#t^zbyI}7#J8>l6`H1b^-(v0b;d? z;OEbum?QlBy!SfWw{PFsvu8aUbA=@3SBD4!0s@HNGdVdq$BrF?Wsl#T{hO>r5jac8 z+T*n>c1ueOxnF1Ton@lgY&Ogr0RXgGErww;Gc)!nV_&fnMc_U~MMa-Ke}4J$<@oq` zY;3GdCbL?tut}*@Din&z$;qOkqQb&L9LI--hDu9IA3b{X?c2BN>gwj^X6Sj~zyXuV zG%zsm?%g|$MpIZ=NW_2e;K7wESKtR`)3tqkXs@fQyL|bwR;$g=&zDFf27|%b;9FW+ zh-_hRZ?7lUWvP&Fj#kBuA@Mr!au$2<-o0|U9F`r%$DL=WSu9q2dpk73VSoSr9e0^B z{{I2i(v6{)v)DG+$A?vC8S0hHDi(p4v)FFpFhfnHQVEq1Ic4x?%Gigjh(Xxk=E2a* zS!_3Pn4#wL`3(&XGcz+|V`CRDUL>5!DPte95=G!X-ppdViNj3vwQJXmMk9;Gl1ioI zT(C`2-e-{a(p7OVT*<78Of*=i-XS+Pmq?C4u(kI) q4Y5?vnE-)AfIuQZ03-qg0N_8+PHEo+$S!;U0000`RO-Ymt#PTSPIoY}qoEB?cwgVk|K###*)zA@yym*R@AEwOeSh!I_l~?{q{DEY`#b~!VbIfsn?fLD(coH> zmKywiD0}Y{_@K7e*MUP$&wf7E=O;iQ>=kMbJPjV28mwa>Iet?^MqsnyH8RNL^RfW~b+)8wJu+K0bZEXX&nm^Elw zZWgaYXazA)#@pN&W(~^hoLjVlaOwa4LvGL)f>9Np2w1lgVE0c_ zo=LBOLj?FXJ12)yO-=29F_hWn(xppiqx_s(-sXTCglI? z#{YUsR`zJMyQT>1Cp`XrbxCY2Q*U2ixIkg^ExizCjfjVd*J!zjb#-+fE5kDA@LROu zZ>a?_%*|rX%(4boZ5w#ik9XK?0yniH;6iIUulV@*B4T61v$KVZi;J1Lxua53x!sg~ zeSM#fRxxbP{|tc(H78y%+n7tXeYQ)|;gZ%#e`-uk=1Qd*%oP1*#8Ed!Ho0}r*cwX_vXq78-B)p)okQ`!F=g0Ey z-MhuLwKcE5>FK{%BE$!{+A|oU31lotx)~ZxJ{T2M{%Og#p_@bwq1rCl1u+n#liQhz6&$&E#!g|g2`<`j^ z(zx%Wqokyy6@6jZqwb8K98xx&+&nz@w6v(Ux3=sd!yi<9{i?Cm)ruaf5Cid~io!y11*cAE zX-QT`$8GAD;{?>}w7uRpSX=@NAE-ns*3=R)}H-w3a z{eByk=h~SvCCWfh)rug)qyBI}n!36eh2m+!OIus}vAeqt3MD_(MI?qDHsbNhklz#a z0UpnuY54dkO!&<(`1$(_DkyLam0D9k`UeJ@hlimFmkp=it>Q(@EG^p%y*xbbL|u`V zW~QQ|5|fa?l$A+oXlQtx9Qk{Ddw;B{fxde6>h`KdvN~#+T~$@}p`9IBye?*c-%mH! zG*_XktE=7yR%N1Sy9gqn$M)GgN(M<3b47A;a;}}GR&DCu)C-BTGmyA@F)Jn}hWT~t zV>dVI0KeRqhnyT7mkYYf%cTQ1TRHcq!uh4$Csg+j4`)b|FWSCEvh|FQM~{r$FLed+ zgFKx67CCk;UN@)T_TfW;u1xjVqoY6xL^))pEjGNQE=nJ_hbLCg@ikVYSPqr+t!E*qr0{4-RRU0cgTBoaM5Jet0S(y_3y zg`f}jnkObMIyyS~Eqw5eOGuzFGc$`mo?BSRE-z=sVzDVooo-?3&UV^lV}p(%kW5t?u;9LYxsq0 z#J=qbpb}8|C+xRx-;PU9ANzCM+uOUbpnl4A@!~}#P(V4RSH8Bi_%ForD3;oe!meC7 zx3sim)oUKOIz3IUuC88u?+Y~zBX84qtuNMp+v(P*pU9mDb3P-L&YD~_f_3In_f*d- zxQ#{B)F{=Ro*ZuM?7;Q(&dJKjVUcZ&lr%Ki;Bbv^?6NDkPjse9LmqaeE7v@mJ0Bbp zVq$9>E1DU|dU~{=ZU^!N^8M$}Rs!mewAZ`=P*+MSDnVuCd&tbZyu1{77miZv+AuCT zCkTW?0`W32G0`SD&)hKe+PPZabz;;7*hc2*5e?WAqVlmx*+NX+RtIbtXz1C0wI_(q zjN!eYif-v2{}P@`p`LkpZEpRLYH4ky+S}Vh)IXOG+Ml9<9E}eD6A3ljcjGxB=?M!6 z+%y(s>8-A)kcCJO8*|^t&HH?f;4?Npjo3`!-Bjxkozd|h$L&s@`ef(knoZgj*ebmL|pr9jmIb6KSK-l z#5b$^TR%+E;n&16(0ljl_C{O|7?B8Q1kzKWEooZ0sHo^QPapbNPC+4Eg{ozKi`|5S zpPz{cB@hT6TeEsAla2i0O#Fksh}&w1D{`Hg>ii824PsZXhMJ3O1qP}PmRi5&Q}J26 zln1kXvN@l28eDsr77?+pp02ztd|jn>hn249gOy~Pr7b!%B?Y=Ng41`co$`|q2MJ?# zAb&93`g*fhU&^!0;su#{I)iR+d3CkUty^TI`{GHUzkR~tEL{B`xk?(JTMa3rtjK%T zs(J7H`}KNuE^rjx-Avu8+w`~fPf0@+%Y^Nu77o*(`&d=)n>QgO&610Ab92%P3fhK- z3{d1*(5I)THwGWLH#awvA=_fKyuGif?f<4&8N(-x?gi!+p)71BBG88oFJrrnj^?D= zm3&sngAPk5np*VDMiL{SZk5V+%{N!QAfV*68}*}#rd_%f!`PFOlI;5O3_ZNP;Z|0> zD=RC^EG#{b9=OJ6HJ}Ff(t9T+Vt^bfDJwURjBuAV9Ee|6Q5neia`5)uyFAZgGD7kT ze%+80Jz-H%8W2IH=R0Chq}Y`!T$O5B+1VyGHZf(5C)}V{q+CadgUS_5{^7YjZ}@b$ zoUARDzsgl_;DnxQQrG)x}zom>tM4m(ks-{XbP#Oj}skthH! zSyfecmzq?8et>F(=;-JifqE(^E!8$RH!oAVTZ|yXBHjSabptTN?Xxy^4k*3jk9UG1 zB9y*sV@o6-=f{t=o*z`xG6peu&5PKbo{;wsss*lrXI2D}RNm75T1ee{owwP~*|3*N zWZo!ew77lyJZLDt*VkhQ2k)k<`m+KA*>6)nArlqNSDW;ejs@onXyGfsD$lhs@@9&E_o*JepoJADfP+DC4&36(VP9$m%4-YpHiPU;}dRCE?Y;0`N z=%U^on;WKPX7Q=19rZT&XP4ahGC`nKw>#w^FD;7hPOZNQOf zea6Vu5#0W4g7L=DcDL8|VDY^W_2VUD2!xJ~4z8soc=aknP*70Ki&M22K9#UowF6p6 zO^5~7y_E!252`c0Ro!^9TV|E?3WK2pQ4#<m8!Z9l=YnG?#=M%?H#S`t= zizS})R~lXz7|=Hy?>%UCRHXicn0+7$7$tD4T~tg;YC-MT*-Mr5o5v;4)1|h|Ti*U{ znEg2ii-CawS~|L!jth#4ipcrS_h*Qlmd4{gIg+R`SmlnIo|%b%`<5Iu+U4aZb^Ft= zBch|VoSgDT9Q%`6s4u=F_alw_o@KSSkJ{1Y_{_}A-mSv9PnIS3sQ`!OA*W z%2;w$=9e0y(evc}0ygFpZ7s+}zyK&vzb2qhaqf)|B@T#6!n2 z8~#SL+AFE3AX}p@_{~Hs9t`Lh|6PhzKY?y9bccidJWH~KgzSDJ)I*~*1%`=<2_Q|- zt*tF)HZ}^7i;$N^MKE4IzWAghDtCAH+_{P`Uj!4{%O5tAyWO|VE#j2467%D`Y${)nx1olL zinqS>H%|6v5Y=vcgC!5bdwWeC93AccZp}%{$TW8(!B{vs^LL74FNUBbwo1%gU9SR? z5r@GJ>$-D(`WyElW?r9_VG$WVe`;+lCR-;q3x~TPFE6jFt9vK43^9Rk+&{P@!G#9# zKRP*Fukl`D1v=+>dV-!^SU>_zD<~*v0^0OE2{!26VuEGg0;GP&!eXF^y&|u{!r99! zK_(0&*6i%;&SAo9!d9O~@qOI+Gfn`kShiyU2Sf_4_`@0bzCLiT4exA54$ohdh>geV$G>Fq`G8No3!6k{CaD z%;0-m&m!raSu`pYIHPyLHlRT!XZdq}##cZecOE==tr^bvskD?4kH@2{_==J7?jLx0 zdC%P9@G#;`I3K&Xw0zPG_t;yx2N}sE^+(G$)P%0UTpMmSKf3vr2=4OF*ciQviVARf z_B~lzx3?7madoSo^3KoCbC>P92<60fb{ZIbxPAdNvvMr9c?9PIK=TYMJKxLE+`W4j z&|(-4C;v7f0Vi&mo|g7HCWf)5rbgh}HTIsKo-tMH!!`XUPsB-yG9Y7sxc#1OPdHxI z#~xJzV+j0rz^X9ntlMzBmH`58Lt~9VK)1HHP0Y1tq)q7rNcyc6Q{0r3{#o5_w3|H-~Rl{&NFf#bPIa78jW- zyX99o4QD<}1+L0R3!=W+%aBu0#K*_?{E0Qu`cE?T0eS*{fgUhU^RHiAXI6Z^>jT}* z!|jYbERj>uHXWqV28px~eT#Wup;19Wq2lY;uVevT5;9M%t*uv>UhGr+=;~VY@T&{L{)>@yj{3LG0OkWrg*_q^;$#zqS(Beb7%N zgoQPw)=Qj=m#&9dSzF&TG>pFcqd>)m|ATs4#2^%@Q-pIqj z$U~6YvBu&J`gnH;`(!{IOj($g4wvZw(tdvlT`nY`dvsbsQXo=NQ_u3xZ#q)693YcT zqYuAce^3kz2IJ{aqMaI;m|%>AXRS*|aNlUeyaRe1bbMV%Na**_L&*kLS^2Bg~NOsx8O$#xblu1L_{*e_i0 zL{;@$yx}WQ$}`S9b7-J6Ie`mR@|>mwP(C$3A68Hx28Y9&fY(koR4LvWAqQ-8{nRu$ zu2~>nSIij-87L$~Jr~E_7GV_;5jiu){{H?}TEBL7yaA5^Y<@^u8!sp>?q6m?v_@ee zHBnfp#-pu|ZFUY0n2#R?9Gsl83JaqG8i>F&Q?58PNp$TW+4_f}IxUeX) zL7dp(ARD+lV0pGQAj@ZlCMP%7?pK9lFjA3nN1j3>qAQG0SbAC0T4s+J&7*5LW=fa})hj-st;M^zG0)agqGn3M}&SG|K#4G4 - + diff --git a/tensorwrapper_cxx_api/inherit_graph_14.md5 b/tensorwrapper_cxx_api/inherit_graph_14.md5 index 8419dd2b..b44bbc6d 100644 --- a/tensorwrapper_cxx_api/inherit_graph_14.md5 +++ b/tensorwrapper_cxx_api/inherit_graph_14.md5 @@ -1 +1 @@ -24800812e15b78d93e135b7b7498d85c \ No newline at end of file +1b87b41a3f2d90b43b3c51f94e080e99 \ No newline at end of file diff --git a/tensorwrapper_cxx_api/inherit_graph_14.png b/tensorwrapper_cxx_api/inherit_graph_14.png index 4a1baa868c7e2dcc3b80ae7140e402d5c4c49020..8034b0b0427654aaa303213351c873b2eb4f2277 100644 GIT binary patch literal 2237 zcmV;u2txOXP)Ep0hJ(lBVt)vEG6dDB{{ zAS_01Zf;am6jA(TC6LSIO-)S}PYGdBnwpyAayi*zqwmz%*l4MI5LN)guoV`xCqN(( zAdm+9s?BoGKjM@OM& zSXfw5QBho69F0Z`3JQAl>J_wCR#y7^`%|e@4u{j*+Y60qwfgYk!wd$))z$ULks~uR zGenTW!ot|tSVu?4)YR0Vpde^3Dk{P-OeT{70J^)o>2$hQt6kyW(9j?d2rvwzP$>TX z{>8<`#Jzb~SXeRAfVA`+qZ9j z`t&I=nFhn^&#%R;3Omx$qI`>A|fIlJa|A9MIsTO&zH$$8ja@s`SUw>?p$78 z#&J9}G}On(r@Om*VPT=TxR}9U=ybYIpFVBgy!p+WH%m)PQmHgAFAoNZiHS)}OdKB{ z9~&FnyLWG5Vj{GMhK9Pixpj7SYPH&#nHdU&GCDen<9K9bQ4wRzimr{$wgDDh?ewM7ZVW=Mz;SAt6vt2JNQD zXskPep`jrFfJ&u;#n#qVC;}5<4T?a26ze5|-`x`o4-W$XJUu-z48t&N)223 zBe0giV891^dwT%D($bQ@zkhvw{e=q`*lhN(W5+&x_y7Qq%jGsUHhzA7&>60x#QC<5 zj}OrukH>3mZEbIFkBW*)OiXNRYnz{+mrA8P9*^)L`!_Z=hKGkcI5=P!CKiho3I$OW z5D-9qCaU!9rpHL`&L9eff=Z0_Yinz1X^D@I zcXM;|@bD-vFL!Zq2?+@ydB`E=;JyI@KLdzNCiC+0GG;eD zM*XAs6?l1hEi5dk)oLQGUmIwsduMm6er|Yj5Aa-OSJPtTf~8iUPkZEd5YqwVbMcI?;z0Emx|pPijGCIUY{ziZd7rKhLU zXtdni+ye&=kZZHEvkMCgJv=<>>gry+c(HZsRulGBjZq(oL^3}=&tx(M0zqbGCSf-g zmOR6zN3lMT*CI1FhJOK}p`o?4wdULZCcwIH3=w|;NCXH&e_8Zjps%lQRrbFdv=ShY z2oM`t1mC}Z#|&X(W4Tw@zJ2>(r;d(}yLa#I=;$Eq=gyrY`;aek1_lN&41+&?&5vV6 zHm(Tl?Cgl&Fv-cu$B!R}&+C3(W*V_rjN|zD_;^G_L{d@`aqvfm#bQ-eRT0Iiswx(X zwT3v>Vxx$_*d?q!7Q4A_XlNihrO{|tuU?&-o0CeV`YG+-zkh0Ks;8$1rdMBIfAZu> zgUOqYV=Xp{2+SulGxPK3&#zy<9vd4A4h|NHL^_=gR@Kzhl$4ZAOiW~EW@cn$;5a@w zIGC50_vq21>FMdx($f0+dgyuZ;6aT>)7RJc?%g}NT%M7ULBzj*|NiC6m%n}cmX?-g zW=a$aB|AI&)~#CrfZEzx4u|uvw@Moe^2yPLJuxI+2Nu4$PDn_A%eY3P$;ruabab4U zm>}EXb75hjN~NOH>C@BGEEcP|x%v6?=Ts_nRdFl^_|s1eEqrqg0H~;_z%b0i!=t;q z``NQ+uCA^I6JszKd_F%rJ9}YaAt50_-@(i{R^bmjEP~gsYPH(M#l_4fLZMJ76zX)k z$B!R#xm=}EN!(n+&)dY!H2^>?7MGWoo72&$Q>VCGZfR+$!OLay<5-@JvJ#lNF|_c_ z^{U`-I5>{y<>mcm9Luv&L|{Iayt%dj@HIj3@#9A;BthOFY}kz%h;?4@dttapQqr2M8nr1QG!PAQ2#d!Hr>RYO3Y)Kv+&g#foU``XYp=C;oUXPSB^e7D1OlPdP*>Fl_f>GgNQuF} zi=!zY6trL45qMGW_7hyI?| zqqW8tRH4S_CDk^k&Pf+Oj5cVg9RK^C2X|hD4>Z1l^cHj7sdDR+oVP?m9$)1arRY=( z5u^fX3H^NQ^CSa#OJ>f_PbNg2`$GzRf+k?du06R&*V$^Sgv1dx4^C$M!#^|a*74el zRa0oG5D$$0`!O*o__d+nP_0F0^(uM9{sMY$FU4tO25rTqJ(m(!R;)=0@!@&Wl;t`|%y!71-Kfq^ z`R(m(Y9^-GvA3c=E!o)&U8k5lFMt2&gaq>R^z^BjnX-QZf`cDoCi2NiNJxa9H<5lT zdxqZ5lkp@@8G%_?+<~mD4J9zi`wIn!gfzE2esv+s&BOBUC_|=>q;p;7)`_8^q4#8DW-G2A z56G^qtqF*TXcxcKP1ohipn(9iKSytq5kU#@JA#h{X&wa`gr2UyecugmLQ>5|$~!t9 zHZ(S(HwAsRW`yyTT0NIBqky$fAsfiBtJSlKFJE+>v0$&DprGlcC2at>w5v-&gwqE* zQQ95y$J?*D+1PQi;89cHzHOE?tBi+XC3<~*=x&E%XZ^m!&kPBGl`#BWUS4}cd_0*5 z^k^t2_U@|nhxw~I4bb~ywu7X;zP>9H`SRwE9335ZJ-Ju#9(5~)o8&6Lv_LP|EX~Qq;-dPX1 z)6~(=+ml5Abp1aX9Nz70{{H@g;>S4L%GC^`T{Hre*uiPlVq1Ir>q#tnsXOEYe}LI8 zJv}|b5UHo9ck-(oiQD?r%PlL*q^ztQ_7MY>Q_v~F{3>8OFY3UP$0>XDF$HsI#J(7+O-iP{V z+%8k9E1>G@E0vy+@!}BkOdv-{S!z-4@!uRxn8lC77n;BB&JmQXXHC0xEa}{NDIloTC`}uzz4+ zb$dGz1jZvL$6TzIB0abKUd~6%V?j1DCT8I4R~oSE$?*@*n*>8ZMMQUZKe7xx`b(Xc z7XDtAMlFRM^#cnQqoJk_7q=U>#*F7e!l$Nm0sWZZ{r3#Ytg#dMCJpwWZt!Mm%wnR* z8C|AB&UaeV3JPu+8ymC9`%{!_=l5%gcH3tzW(NK$YHMQxqKd=elSUBn!fXI>ZO8#S&xg-l(&$;1;vaNY;I0c!OlL=(hG3F=)L> zVt>DiYo~Zg5GG@4p+mYXqftm`DY{;rR>Y((Tpqf%vJyUP6?O+ZiIk~w_w#$8udhFj zNsv32L|DRJS5*l{Mnx%eQuocwFwn*kf^BtBF>>e{q1>%szgBHO?I7$VeT|+obkdcT zmA#3bnwukyQ+>0s;gt1_4VG0X{i&x%@#5leQe9j7se?n=MDXJa906t$Nfj0rc5#YD zrjD%x>loTZeXRG}G9nMI&Ibor@m?rCDQW0neXQN}=o@@e!a+j?md=6z$0s2v`E`CC zT50H_%UyCMYgYx==zbjP%?>-@Ho%lVduJan`u)rR^Qrf$Kbn$t1%rvs%)EV*B+st> z=$UqE8lzhCIPl7CzJW-kkXlQy(!hzLRs~6baZ+K1`$9U3kwVJzLo3T&|FWgGcot=fdbH*XU9+4dx0HG z$;j9N562xJKh@QxW>*Ld_v|?(1_eFW6DkkzH=n&i4^u9*`;ch86+zVrn>G->RODD+ zUpF@ep|rUFAZ|BL9!g;3;pWD#si}E>E-jT(s`YjaoWHE!=53GV9!ii?P*iKcno`wy zWnZ3%#gYOWd}xPEO$`VBl~wY+H|((r47Q5FIAkuDUF;!Qj&$}&(1UOj6Q1@>j+o6OX6_!gBLa48`dFLPJxN8eLk|+4<4xgWk;Wx;OG;N?~(r3kpF^PdnW)&huzS&dr%T?|CT~ z(Cxjhsj05c$z4=Xzz)=+sG&h(!lSCmjnm|EaJ=AA2=IrM&CU1(M$t837+%2WHMvWY zDw{s6HroUcq!g`4{Wo2c3 z;6@gOAF#LdSDHF=y4R7N6MMk!!sl2T9z$MZ0>n@}y@0Ur(B=6bJ$-$A@Hr(>O65Ni zJ~sPFxwW+-hQ`J`va)kdaj6f>Ml&M1a!N^M-k0QE-5i-xD1+zX1KBle z^>9AYvXCfGVU~30o1JA;OJ-9BNe99$?)_6e>tUJZ*m%^Cj6(NXQKRnHj z(%v#+UF-3ut^=~0ikq4WUsy2zVlQ!ju`HNQ35&cvmt3Uy;aGbm)%LLuX^paeP+Zy%o*2R}6+@6zR9)h6}$@&UVp zKn$B+!ENK4#^?UDiJSP@4V%QJauEv}Nbq8rE4rLG4_Sn)rdJP7Nr5GRs#3hb!Saua zii&hCEt7#hjpv9H)YjGlD;oy9+6SgtHT{5hReyL&fsCA7+y?`{Q7~TG)qhI0azLL2 z*-4iR9UL4CpTycNbp<`A8@}yq8XEfO&6_tAXV$kj6IA&SwmEchsw$_ar$)@3<>fJ! zFZZ7a3JU&H2TJ|$;9#vscHG3*eViiSjwq2!4LF&{Vn=B`o-H(%)GF-qft$NK4J)hb z@fA=LkCq-2S_$GP(Eb50;SmwJ1ze7S<2s7bvajt0+G}HqD~U4Kkup1yK}CpxM_8B= z3WXB5>|wDnK&2WBitoVj@$skT=bfAPJ3Bj%z9a8C=c07R#h3=}WJl_JenUiF=fCs( z;~7q&l7vaeT0?d)aAuldYxdJfJpFypq6k0SJtWjpk+e~NfVW}HnuDJ1c`!{dmMuI0 z46EL2RV6Su*mi5ChQ&%^e2VJk!$cR`I-MOe*dyG*m?)3DJS*s2&X0FsK)FCejZZ-E zVx`w0Pr4(^e9?xne}U!hc; zo$uXPMMy}<_I#rnY_WD{`W5Ip0$h4aONoGV^PLt|v!7g@?b^!Tm~LMJ@7-=)TG^j=>TgQm>D%d75b zsKKQ*#e3z;Qp@4SA?qpBW(V65}bnw)VI)440~b1YN8X+JXaAGU@nGeJkeIIRk42af0K=c3IG5A diff --git a/tensorwrapper_cxx_api/inherit_graph_15.map b/tensorwrapper_cxx_api/inherit_graph_15.map index 14a291b4..506a422d 100644 --- a/tensorwrapper_cxx_api/inherit_graph_15.map +++ b/tensorwrapper_cxx_api/inherit_graph_15.map @@ -1,4 +1,4 @@ - - + + diff --git a/tensorwrapper_cxx_api/inherit_graph_15.md5 b/tensorwrapper_cxx_api/inherit_graph_15.md5 index e5350998..039465f9 100644 --- a/tensorwrapper_cxx_api/inherit_graph_15.md5 +++ b/tensorwrapper_cxx_api/inherit_graph_15.md5 @@ -1 +1 @@ -a8186f041716784a1f9bc4c8cca86ba5 \ No newline at end of file +784ea1660ef1acfb494ee43994582880 \ No newline at end of file diff --git a/tensorwrapper_cxx_api/inherit_graph_15.png b/tensorwrapper_cxx_api/inherit_graph_15.png index 80f3ea3e4a7d059f2794fb2c9b62e16599a5fbb8..8cacb3c52dbe7eedbf2429b856a5cd36725cbb03 100644 GIT binary patch literal 5602 zcmZ8lbyyQnyB{efp&&|wbTa`70Ue`6q(f@d1nHJgLb^dvx}~K%q!}ql2uOEIcR0So z^WA&@xWEHrjI;N=@ryS^<+a>h0xALs1aenF9M^QIvy2 zZf-v_e&oeMAQbTm@E00xDLb?78XD`fclP(n*!xAEb9C}^V^qlsLNRn1IC(L8Rrbl@ zA^19$!)w7WDX0aTr{GHPEMi%SHXmwv|E$m1jJ^0&)^VR?6{@-fdzyn8SbP|CAElj< zAa?ut#Tk}c_nacvMV!*FX4ZL+OxNb>=NAP~5AhiNH(0O?NPI|PJqxO2Z2qJYvN9>8 zu;Ygm4lul7Q`rVO2xCLV`#nQ)3W`mShyE4=6BCr%6Q%L)k)a}wDnmmL-LRWVRFMMk==8Us~B-%F%zsHa9moyYI){%@x3O$Kb7Xv45Y0c9asSY0aVHpW}bIx)J;s7 zSe24Gs~?@$m6wyXwY7mr?VX%DHb?W2r>TWD-_IU0nrgVYi4c;IOjyz>D=WJmZ>T1& z!=$AXb-3Sx7{34bk=oVWT^Wz?N>s>ELp?Oz-Q67+9*!}ncMNcGaVZB;@ayU6jZaVa zdtGj_y|uO;;6*eKG&DB8QB@_IE;GiOI7<X}8z_KEh>9Xfe&!Apcitd14ZnStvH(I#&eWEcv@|*` zHMREJdqJN(L9UfoRG8r4;M@kv!paKuecqasoGg@7(tAoJlA9|29;&UaZA*kjKa?hs z%%fWsEF>gUet77(wz}E{Df2wrEto~k&CPKO32A2kD^=`^)aG0=8=#70GSt@YhLi;c z;_iwTX!K!YVl=uRv6}u>P@SqYCwcm#y7~)-(aFil_lksw>vHe!0of#P*g`9GjrI;%AWZ=PSB z?wFF1kwK5Fr>Ycke~uNX*GrKX=2|uU7>g)q0RiLsfXE$&Ql-4pxRwfQ1WYdxotw@C zjM6Hanm7Wb=(Wjly(xyCUx zG}LMSAZj~PhXKhiD)NhoAv1Ja#Ic=gR>uQHopFkcjD(sVo}G1H9IdOWs6Y@11U3%N zVzOQH3v+WeFr5o~dwio_3)iBeqWk;%ko2KDQQgw|`ZQbH+sLW9y1E{T-FewR&Puft ztpWvV2n30flT)J2->t2_e~910ba%nLX5nCA{fQ3;Qw19O*T@Lw=}Iim86PtCcuc_81oC9#~~@y6B`%*m;8;P6ttCPEIY9`b!{?d?p1iz1~dqel-4 zg*%$7GJ8(246$J)43q&R>D{JrU+}R#LNJdK=A>n!2IyXm`laq74;71bu=Gd`C>g? zdusjro629q!@l9+MEVWR_^q++=*1xVrS~mYseK2>JktOsmQfMX4h{m$_d;e4)zs9= zjM^~W+}sv^WlHClmdaUJFkGY~GusTqhh1(DjyfOZz|5 zjebN&M~6p97~5}vsCQ%$wwnv5erjtp@=c+qzuzw+B0_dFsNzRl@8BRRl!9wvYm30s z)3XzWS^}*E8M8C}*lqgibYk~vE@UWGTw6|>=`yRTiX3u$n(BtAVv`xRlw-bU+!1&; zI6RzY%o!>I06~oHe_6$UL*Nog4-3}vI$sQ8RATGcPIPB0v2%zv<=FZhP6Qa?KHF;| z4|FD-`4r7)2Qq*Am9tLgZ(92#nrIE0lUR+Zu(h?T20GkftYa!|J9uba*7@Mlk_kvF zd#d@uaocgG9i8Ndp4qP4jr5opblN|Y@Wsm$D(gR=31cj{piqL}L*If7J$HnzFNVCw zPx#aD0ovmc5&1u7@F^(ZcqSnc6BCoEN#AinwTFXK7-SZ`dO`foEZk3!z4!tG0ss|tD$GLKYr+LU3ox;=;_fwH@zT)J8r#@J zAp5^Aw)$dCHh*j!5YZ^EtSLQ+j3n;t>T3J*=aH6{*7;~U+P|cPH%AB_6BkFm%UU2= zYd0SVu(I}hCTfQ`FV9Pig^PUYyttWjzi!1*~|}5N}z%8@bFrdrT+N?+*z8cwz~bdKFTuIsVO=J zwsmoCU1vxO`b5}z+V#Ox+h_RiF891W#|9*XKcFwxjlvfJ42d|c5k=BV@xD*__U)Sy zAfH=^fWxsrefng-Hzxr}+POi4jJmwSQg+n%92>j1xQHPoB~?{jy*R2YC4)q=%z58@ z6cHEa(%+4eLI-bcS;A#xdX@AVoH+oTN2jNk4vSeezE)LL1rq3mp&?yiVd28&X2_>c zn8jNvW@gNmR#wQ+!%XQQQc_X~8yi~$s(7cFDpb`;ET_4duD-tB!otEQHI){^z`=nJ z%E8XVgOfhgUFWdOK#FH%VuA_8VPXpk41Xsof|^3IBtO43M=}1_*cdj@Ba>58OacNi zjRAiqCv}kXSOvP{MiZrbsT}|Y4*IxCdj=X^cXZu6JTToH?SZ-=x)*}IwzhWO#pmU# zjrd5x!oo5`Yn-&T z!8D1m=~_Fd^hn&(Onk}osQi5P+Y+t~B)T1MkVVpp2P#Wmz;kEqcZxEpgk+k$J6E6o z{{0&dAAfO)T~Ak+-xNi3+vKye1~&6ka0AQf+T5{X#Jq1NdwZpKZa_!~{=mS1k*zK7 zk^cMlwOY&XY@10!R_+lHTKyV*j00$1IcjYWI+)t%>$L7neW!1oaACK^fQ&vgC57hi zO#OW%5(&5y6Ect@s-7FcN>+k(GJo@NteO%Jn=|SiWU|_da%OfmCM}H^RGs@x1-4!D z1?$_vlmaNSY|jmd#ApR!Y)FAdXyg06K5lJ;@5Q;>X2!-C($doPClA9li?rHCNACk} zKR@i}GX|X$|58-{$}&GNCpbANsgK+j?Ty5^I3H|NnUF(tBAuL`d@nAhsKLj_e<3fA z=i%vju$hVMwfT-oW5S zMoEc8^6IbWhpU|yW206-jlN&g{c(f+%NPd-zQIx6HgHs7cuo4Vz%0I{6QDNSPJU~* ztsj-!%}bggk-b&wiJ!I6=HKuf$zUYydF7UEv-lwl%^q>~5*xI8vC)?-kv(gt+-ib%Y)#$SWyzfylxd8pNt=nK?wOQ7 z1lSZU&#c>}`qtb$yR!0rNl6Jf5LJQfuX`uGqo-atzW2rmiHz)#N35(CcYNW}D|6X~ zy-I|VL5!@QT@o}v0sO{Z%{c&NO?kjcidW|K&!c_MV=nMWxLnTjm>aw58c=?X2#uO3AF9RqtTdb2Q;a+C}?+%vs7RpxRQ8AB|E` zQv;S@e2?M4%#X6)UwDy_lw>lTCDSo?V~_TrqHutk0Mpy_!(d@Y;*jrU76SN7BA_hy z_w5IggseK_?cTn{Ra8`@5p{&`ep;&x1onR=@rl(q_e@J^W3-?PqWg zpo9G4;x3?BViFSaD-VuYuulK!Rauas&%31@qk|sF*}W-;~@OA3LwCtQY|;4|+N{G<30&>czixhe38nN3YJz-j2zSU&=4HaLuuuYGEYYP!be zHsK`(jk)_@FW-&kzF>+mI@_HU@kT!bPM+~z$inV!B%rffPWbxuYm)7u`PZ4G_sbwr(z zm}m^@VPR{F0&4&jL&M1ScG%zf7J3kxy@NyBV5<0U-b!yM1BCaHeOD+2bm#Ij1`a01 zy?gf<$O!;N_p?0A&B?h{gP6V$1qFp$puGwl{q>8~*Vk8GSy>LKp!g@vo@chz%j0(( z_d0PfeW%3t@faJ}$O#-4S}`EXk`zcYGb6C5sT5h={Ja zAD*f@I>Gf$>zqnE)GtSJKt=$7fOS_LtYp)DE#@_Dlgsvlk&zMm!xaUfvf;9_OF{Hr zzj|pilDb>uvjQLBxXZMwrhpFHL?X z2~p+H6CVr4V%!n?aLx~QI}Vq}?`E1mQhWc~M#vdp+_|;$@%}KzIgf3gzW`SO1_C1t zx3uI0l+*W5YzUmk`8hQ;0f08|TkUN~3bs0yLuY9{FtTM5&;W?YmNcxp$_WUD^ zQuu#XfB%0;`QM%3aIJbzg6q~;0V6Vm6#BWnqhmEKTU@v|K~qD+A8?WZi63c%sEA1G z#Dw;mD42S%joe5P0Si!p|Nipd)#MY*=b|a#Z+U3S*XeBYMD5V02O(SbCA(0TG9g=*l0C9-Ez(dVCX78qwk$O?k!0Vu zkYz?Oma$A3|4+Z)J@=k_@0l~p`OZ1t&+~n@_v?9*EzAsCQqrb2G*5V8Zg0ULuYTJao{52D9@r*>FCGH(_cHr#qWC-po zK){n;MmL7g$l2x|d?ccGr=I?uEqvL0SG^<|Z2IQ@+gnsYHS_vI*5D^iP#c|iFDq*Cf z<#5kEiO>gb zCmJLaotDNJmyl3qx_0M;P)4_fv$KYeo*d?~n_H3I5ri@>DygVI1o5PyTUz+#UsUw% zXxKp~-Q3)CuCgM@qG!*(XpYlnpr@aAb`=wcB_qsMJfJi=_o5K!dYYW%Cu#_p<^UIf zDr~g0pxuo*KY~1WZAj*{$-f55e}P!p+2dr|_OaYKu3yUnWNPL+?f$s|jXETCt)4MU z+6hY-DHnz%v%+Alhedo0*y69g~5>KfcyW6@n#S zMd&*5QrM@Q_pJWX>Jfs6S+fBFOl1PC`dnvGSt6tkVt z@1LmkC@n8fEwqAzXwgr-QVW*;gu@N~nrbMmsYze%%QLU3sli4>MMY&JJYl(N!H=5X zzb}3F4&~$HQ-Vf6NJ_eN>C&yqI!_x53oTvUiHQkzLBXn^NH^dF8(Ukwwzjsr-#<{H zf?nq4mcD)+GdVQ{7Z*AX*KxGabie2J5O{)(2{m< zSS>fSH^yspp3hBA8bc+erO5;Wp=);5+5U=yukU%P{A&%j>4)wgEO8yvYCod9ul@y` zf+EGl#FUhjBmwif2L{qpQc~iUUn=_v{F;1cVt-|bOt`l`ZDf)qZR@bo!J=v7fa~is zzs2aZ&7|%^_OimP@k`Vf|N0v%CKUl4P-CryA6gNO&Vx!2W4A&yIFbr-baDdu`8OZD zy;C1OVjdnFW9VsWY@|C9P;h62^2^H^W@l&jw|ZnYXTvvy&z+-#!{Ln)2lCOg6(VYC zY9XPa^lK8*BhPB3FJ8Q8;{|NQ2G2z%rlgz%l_{d6#93^fhdcbeCyX*?ZsB3scR`&bGNzom8*tM07xI1&H3b!RMm z{p{l2Q%f3%k8h+mBrFVz!_k~Se?EV5X>nn}|IdDaW1~M61E-YM&6}bE z8WD8C!NGTfg9~bEEbVufdvhQNT)2@PwyS4j!)}(R@i0T&TtrosH$&_)_8Huoh%e4_ z{jgR?*5Mq^Zw!CxVX6Et=qI=ZFkih2ZNYNJU=&?ch~%S8?(X!WSGol zc-)|nqr<(;Uk!7vU!TiiU8H|bHLxhSf7JrVJ32ZNcc=W2BW1SSieArVfA!|7ahaK! zB_$_6sI67l+TIRW?H5k^nu>^fbMKUk?U#=T!I!i;BCO_6+Mq&eJ9x!zKil6Es__&q*3xaA|1)VuXnT z|7YYwmIpk0gBBnBHIBQ3c2D`Y-4~Ifjw27Pot)H54l)Y z<&Hudg^X{$od2P9C!VcbNwXs|tz(N(2$T{UjV>uGizz5LBOxi7o{_F2i;KmrtgYt>gp{);nYSt%3JR$4csy};Hvy!=ZbDBxW8&C30;b~9lFf={OPSz@22W^DMLDiw5e=%?)Cdw%bm*dA`1?BwJWIjWp>VZ_cQ5;a=kQ1Et!qCY`HOKW}O z2Ab%sK4a-p_fs(HkM_aA0U~_YhgbPFf917?N8etm46Qicf(Z(mgOa)XYf{n6+q)np z<`{W7$1ka?dVKDI{z>l?StXh!7Ar;NBS8*Mik6&QD8lVaSYU8pVRy#d$o>|wt1#;5 zw?Vjo6O%J8E-t)suE*mO5(eix65|h+VZ~+moceal zdUBg5aN8Tlrl(MUnQeJVZLRf68%hy@V1=3k7WMN&6L1t}Q7ii)Io=-0Dk(IPh}zle zQHvKOTVpE5$gwV=P}diUqN;YvV!re{PoMe|hT&gxlv$!F7e;)i>d_dCej_6T1B3NMqHsVNfv~m~FLlZnp*KM&*W+5c zHIbRg`88XS;cxKv_GqCW%gflgIYCgXu^_~mQVuace%y?UkH?$JR#a6bR#u+JnB`7- zylNYF(IaNnSN-LLZ`p}4rlTo*$~bhTFT0m_czeQOQ-jNuT?JdPKbwzRYqviXTim@~EJ&WhQyXU|Hc zis5F88XC??)~(@t(zwTha~olb|JeQ_tVO1u?>rwD7j2W{qgYxN5qWu7Z*MQR+C3>T zvzJMvwK3!&nba6Yl1NESt?`+VPve$5*4^E0c=@vJ!Ll`RYwMD^ISa@K+jU`Ti{wLF z1R68$;&gYU0?$p`GZV@G=g-yt8Q<73=blSO-Jv#DMn8^@(x|JeTQu8N42)LFAV~!O zg0T@nBO@c7=E(K4>qQ@Vw-P@94A6IUN7=RwcO#5`(gJtvqy!6?Tf_usP7A(&X2!6D^TlBQkqO+tJj~)D-DqG{M>po zLPuk|vAKDnS9wnN_HAhpxRWd_EZ`*9zE|pD1xTvx|2Bp?IrCjjjW&>y-SwIB?Y>a} zzmH!ic(~4Ey$YL@YRZ=uHa9o- zos}#Wkspo94(o;m9Pureazot6G*aFtW@tG(rGz+WB2y|V92OSly1m@Xd!+kN&g90U zNDn4BTIZ81ZS?rKJCHn5B zyZb_A!)%O=*QEJp`5t%rNM+X1NkL8($o{It>)hPaSS*(KXS;6^3=1@4`I7kR_R=(f zSwK|Tf$XJu4q@gC9&223a>}Lh$f!*x}QpC1pcRkfQjGc&Ub2$-EXabkFM)V-@z@Cvoj5JEiD zxm{J~_qU#&RB7iHL%m&NklnNCjA!72K`6VxKza4hE!{OaIB*)S;qu%hBDCYOLA=D9`fDt^wb7Nf#yg&+?!+QSvApP{J$`|d&5xT^@4U4XmF~k zsunITGE!9`H2HLyPrGj#8X2)Iua#-5;AQ^@h9T~jsLLQ({1-auD;%3(8X6j4H2VYw zwsaJ#XyciJyTu&b^-T2a5!~nJcujRfgWU_vs!k+6o4maCy8P%}O+BT0oJ#A32**HA zkI9lot5S+6_WZT_{H7+Jz$Sj6WRb_7BZ@?to0{lLlm4aNbAPFK%p*!kN$GD@ZY}i$ z{ODqf^-fAn?buxW959bPA!T0;rKhKd>=SRa@3BDb6tW~p8;~RkfF<|$_w$>Zc|H1G zeQFL``~Krc;a-azrlLKvI61Hx69e9D2hq#V`YCTmDb-z69|o=1lIcM2ItPcd1-6q$ zK$QH2O4Ic8^i~N3ERec@MI4jQO!K=w4rXLCWBmqVAnT2%AsHhFLsZsl4sXyqd{Kx7 ztYUTdE<#03Edz{3f2YOS*6{cP3WZ|h=qS~)K_FNixZDQ}Yj#T9tT6qIft8^lUF+}l z_w4-q6>ljCOnm30q|yLPo;ZHIA2g-7gVU!^KSQDPfX{FG`I!S^*#Trgzm3YHO41bp zgC)AKP}J+zE!NBd+YXS@aAoDJh{#A!fU`d~Hp~qk@ymrAnNypzC*H=Bya(snGK`DB zjjG;0RP-LDixSe-9iE;x?a4e};PEOnLCo~ImgJR+{P4YXo{L9dqD3HajBjgePmv8= zj;`_D3Z)_16h2@+VWx*rH!&TuamSNtixcY+7O5>KI=PWP#Q$0@1oU6Ev9rr*K91w& zvx+$J|JEN1RA4bu!Orr}KB11n@x)M+_nRvB&^bA|f#I`^#-X7qdoYD-ks9>Vfa3G+ zle=w5vKZ{l%xM6Lf7c|1R;9C@#<+wY2ALK}Sy>t78A$`yE6C9Yc~pP*EC1_&pOF8R f^I+S7KBCn-+4$qh@z8HzTLc;Dnd!c{bUo%jL#ZIv diff --git a/tensorwrapper_cxx_api/inherit_graph_16.map b/tensorwrapper_cxx_api/inherit_graph_16.map index 8b7ffbd4..00704500 100644 --- a/tensorwrapper_cxx_api/inherit_graph_16.map +++ b/tensorwrapper_cxx_api/inherit_graph_16.map @@ -1,4 +1,3 @@ - - + diff --git a/tensorwrapper_cxx_api/inherit_graph_16.md5 b/tensorwrapper_cxx_api/inherit_graph_16.md5 index 64b31d32..e4e46859 100644 --- a/tensorwrapper_cxx_api/inherit_graph_16.md5 +++ b/tensorwrapper_cxx_api/inherit_graph_16.md5 @@ -1 +1 @@ -55be9459c9af568060276ab3b11fc83d \ No newline at end of file +145db2cc320294d7c80377108be7dbe4 \ No newline at end of file diff --git a/tensorwrapper_cxx_api/inherit_graph_16.png b/tensorwrapper_cxx_api/inherit_graph_16.png index 0855b1c5f66c6f2f3058dcca8c39409e6413a2d6..34948171b4dc80753766d2ef9567c49157c1d3e1 100644 GIT binary patch literal 2164 zcmV-)2#fcLP)Sg+TML?RSLckbNT)zyVfrroJ<9~%z2 zT)xa=7dD&y=+PsrDUnEoLZL>ZF&d2*FJ9cccdx}_vDs|N$;nJ6v%kN8VPT=RwwA$Q zSgqDCU%qVGwCU~Jw@XV)DwV3Dq5@tdD=RBEH+OP!a$;iQz<~p~xw+7uoSYmQ8rs*_ zXEvK>XJ=_N+W7dm&1U0rxd{mg_wL=Z*=)77wRw4YEB&zy&1Un!z(9O_d~0hf<`xtb zq*N-6Mq^!F9g3m`gMq+KFh+d1YuB!^SS%OFMc_kr57u0|5B`{kx;7 zNJ~q*fB*g;tB{|cpP!$Pw|H7htyT*Fn4Fx1O^d~XqUg}j5FF?2+qa<|t}~rZr_pHq z{QRH;#^~rM0AOrv3^qT1{tN*4_U#+I2wYDP4u{j!)MPXo0|Ek?nwsEX_P9CNFzti(08CF$!=^%^fVH$c6*doQ>FM)w zY-|hw5D^i9AP9mWUS3`%lj-Z%ukb8`!GH(8zPhyy?d9Poz3I%78e(zqN2=Z^Tfmibbue^ zsHiB|L=Xh)D-Z~JdV0FMyK{1KLPJBt!^0aI8iIp^lai7!AIyJxdb+T%@XD1ddcEFi zwbs|y!)Gc4RtTceXd)vc9odP;h)>Thk&%%L3kwE=0lOx_R1jZ^7g>;Kc(10yb~ntX8Y* z>+A7n@7}%J+uJ)gH+SpSEuBs$kw_fbogbs!cOMpuwSWKq^XJdQ`)XxnCBanuY3_+| zr<-1=ZKr zx3{;`>2v^qTrQ{6>3jC{<5$x!u>L3^yigw=Shp zsm*4aoSbB{*?D<+*gnX{VdG~=%qrK?k?4bgqUiPO*XQQuR4SDtK?;ALbXD`h_qD4i zIa04&%5a&~l7V)vH$}63K@TAMiWOPG*Q@H99)FYu7H90%3inlDQ6_VbwY$ekrP79m z2CNAMsm{*Mg9i`N>2#S)=IG(EO!GQ<^5oX7TM0BT46#@&7K^P`>ysx>cs!n7uZQZD z!C(ju4)!oZd{(Xo`lC$d9&7#XgF!4vIl_6(%dVp2l0xTXhMosnE!J(XfLM@ng!7u0 zBSp!1^~%W%JrA^6AU528PqeqU!^ity4N0*oz~6b{f0VZo_wXp(gQ_KYplV4Ts9KT- zs+Qz|swH`#YDpgK?BT8ag9?fbh+3_N-%rN)ZCyr1Mdjz`uWd>cZo=hq)6>)O7KGa6 qAq~{?k~~ngBo9&2LCIPTiP112!Wb>~nHLF3gOSoi$};vP+srE@ zOK7Y$4a!)CF~wMZr|bLIdtJYCu5+GqU1#~+&*yp0eczunh_mepZV7G>2z26-oi!8$ zI@AqZYaizX&a9hm{XpQn;b3bGI{3Snw3X+8K>YHTtS#JQp0CWrISTz2IkvtAb*Fc6 zcv&1d)NqnGA>t0rQw}-NW7(5x*%_knF2oD!T5=-y#%OXG_oJ?L#-H}O={|SA;(Yzs*M^kjkiYe`;uZ#E(DVVYt)=x5 zk{E2@Zthfp5y#)F=@@VTM)T(8e*>LZ3{lBdR#w)qRmEIw%gQ=gR$g9cgmFEmteglX zXh(}-oEkSaHm(nyU`#h^G<6GJyQ@?bIXOGEb|ioiH^u4M!q7DMa}2^t5WFsF+yl^XF2Per*!q0^ZHVA#z`iQWB%I zRDPgPj~_}9!sGF;2?PNWVy+!~#UCY%Kp?`SqsilMy@$VkB~-7_>7kWgL~dti=Tt1V zcXxX;i2;1iPVtnst}X}YO-02wIvumWpMYDIHHj61PgErVcyKuBg~7s<>1iL{l>}h` z!c0rFg0{900Kp+owKIuF6eFW|)}NwDqtQBthFm;t*wvnVhvs*-mSZ=~#`kpU%m#Ll zD+dQUO)Mpgm7Khh5$Fh`?)6KD{1H+Acs#==GE)1ZwKW6=Q;3R+a<#GHRP$?n%E`%@ znyP&IbYg2;8=<-RnT&Cac~euHB9=-l`DpEEY-gN{rqJ50>I5E zcD*Z=^uxjERi^1qY7vTcRW2Eyd4dK}J)l;1B(s9R>1k>Br%%NqQZz$eq!q)9;d9SI z`~wos7iRUnClYf(khr*(_2~~EKz~0MzYP{JxwO=dVn1Sh`sB=Ee*5+Ac2PIo+W=8WaHcV5JF zV0#o8_4eIL?U3mUplz{Hv#8&`*g%mBKFUJ4$;Rq!u+S*vhJkySi~l~kxr0O>3h2p^ zn`oDqXb&83pA68Ko8S$bZRG;3Gns$;(ptXL&BY{Xbrqqlqr=q?)Pn1v$P{G=DrsmC z-CP*#ZkS8R01in2ke$7K7f@f2aZ~i0wl zYlDX56%~(UXJ_k2Ebzw0#+JCN2#AQhs%~ZN0R7}y6Tl@UEiIRAmz9^7Twkw?4g7Iu z`#sqze^?I@+Fl1crI2T(gW8r|-j`@G3*GoeIXHk-p_bq5Aq#j{=-PTzD)q3Dkaa7_0_X=(WP9pC2a~JDATh6)#m!NybE>$<#ku%O8jb zM<&|0CiWX0lVxON8soQXvNXcN!YaKR__(;ZURP9fcc<_(0A7(dG?d7cHPdZub1Qeg z{(E(%5lQ9T+1b(1&`6w}_2cE^v%HWG>rEH7b8@<9Yx{S)t6^k5YisKd-Q8Aey7}t< z{{ZEaGL85AZkYj*vQpsgXs>mY;pVs z7llGODJ^|FJic!GR7>iGJS!_wa|g_1zy3!tdWTVb;L}TluPpEdx;L_l=P3>Q6xsZ~ zbzJmpCxc4XMD0X=lMGDZlkR$Ol;@;?z#%<7z1FR9Z#z4?4|Tz#yofN`$6SEtEUc}M z`1ty|dU~eT)PVI34LLye4i4XzmQqFiVh%avUq~u1SK^a4RBRp$9({FvdxI7p9{yo- z$c!I!oS)w|I=Z3r!TQ!#FIg6iaVpfcIGZD9Vj?Z68!A>mU4MHj3x~rRL@dnzo2~G= zva+Z0YAr@W)}cL8^GSEw>>OjZxGx|)3*zCC$z(!zm;DXw991n)dukCWIx0SFm+%#r z2Nc=Pqc&&d0Z!tRH8uW)glm0e1sRL&aM(LJX{~&9v&aykWu=gvHyC}2{FylIpijuf0cmb6ytr1``g#nAKl7Nfiebrb zZG!2!bLZbD?41(4Sm7N?=f8H^m24b4`=F`>kmdBwCu#^)ouLr*j@=p?1S&p0D<=mwHfMHKke^?)tgP|_ zgW3|l>LYTOe*9s>Z(dMhTieCw7)@~pl*^qJ7h^blE%5P23=<%~8LX(Nc-qX&f9+1*vqk*K$cVXh z40B1KeS1MtNLUzOR@S3h9S{&OKd3kN2ugVVeq#N1w5<)PA40eTx!T0@m(mSJxj-6G zZ+6UlMmi3i4^fqa9UJQUXZhMNJJ9CYd)0 z4bWck0W^nC#`w57Iz!TG#bd0>wwAa!~fIS;DlflCuxK;!0FBug1&ao*`nG32|+C*`Z^PB{|c9EGCVFkQ7qDdll9Cz42|JfONl@=}%qv`m7yxi%bJG<9Nu*G`fR>ua>dl∾u3P zilHjyhJL}54<9~!>((uEIQ;zM$B!Q&tN#McqZ$JulB48uV|n~-RzGctPVWIUAiJO- zSeZ5eg2%Z0()t>LUTT9%OG&LWM_sH`azl*EKegcRUM1C!j$EY2EW^?zbhfWd1%Sn& zZf@U}mn)D6f7yrzA#o?8e0-hvH0b+^$MnohHGJa2?ml}>KYCRPc=kJ$Dwp5Sn2lQ# zpAj4w*$fQ|I@aX#4?y7f($cOaF(wV6P2L8)f_ZGLVQXt^*0X2azq^D zq4`wrrm+LsC8Rc&GSLfZQH4>0e^L&z!GT!kKccrNQ&R%M!bzj$E>xg>mVW)R1YUXe z?Ab{vsnGDLyfJ9cq-XL70;%gDAXKL6oRU44CNU7h>lvZr@Z+Hof* zC;eEaG6x3-Cf!0c`h~$Kz-=w9tn>mZ3-R~Q{5^+8PnPqZ{Ri%E1}C6=d5QhtSGYXZ zerEC|c;t~q_bos?ovoSO{AQ4t82zT^=Esg_U;OpKfLT9-fzKUnYiP&^K~N|Y0fCj7 zmV98gf&o=7gDBrx{Dc#dlB%puxO`be&AT20{KMxoG_pPwo2g@>qodt!-aOk!yYtxo zCGeEv9Qt7I{od!O8FTh3J^99PI|9(Pi##H#r{m({xcT^Akuzo8fGoGSw}+WON6!I@ zrlO*Pai}|#SG0(q;5~DS3$S;tp`ofedU}$%{#H#|EPWRt@7A0D62oxBckU{efbxeb z7#Ljr^FUI-74RCpWb&xikg-+m&B0Ot-)EdrG)87(7VV3?CA*e(_U<6Wvh1E^b7dtj z5{b0ImDdXaeDv?YKu?~U_ki@rGSWQ}QAtUj`99(qcmS5M8TT0b=-=JT2=9jOYZy&Z z;8MfrD&`f3VZIs{{ePj&zr^)mPyjZduaay3!UL-V zxM?4D=*X#-eER#oaNyreO-n2IoG4a^0XW&x(sDqW^!jQ99V6b|-|w)tt4rt821b91 r{bux816ax#i-SpGwfFuT4h|paH+Dk`EF^*TGw9MqXX`4 - + + diff --git a/tensorwrapper_cxx_api/inherit_graph_17.md5 b/tensorwrapper_cxx_api/inherit_graph_17.md5 index 95cbbc17..e5350998 100644 --- a/tensorwrapper_cxx_api/inherit_graph_17.md5 +++ b/tensorwrapper_cxx_api/inherit_graph_17.md5 @@ -1 +1 @@ -3defacd70fe53e5c3bda27995cfb683c \ No newline at end of file +a8186f041716784a1f9bc4c8cca86ba5 \ No newline at end of file diff --git a/tensorwrapper_cxx_api/inherit_graph_17.png b/tensorwrapper_cxx_api/inherit_graph_17.png index f1cc5701904b0958b79923e6f986cdd7d46acba2..80f3ea3e4a7d059f2794fb2c9b62e16599a5fbb8 100644 GIT binary patch literal 4699 zcmZXY2{hFIyT`v$mh6+AY>5V02O(SbCA(0TG9g=*l0C9-Ez(dVCX78qwk$O?k!0Vu zkYz?Oma$A3|4+Z)J@=k_@0l~p`OZ1t&+~n@_v?9*EzAsCQqrb2G*5V8Zg0ULuYTJao{52D9@r*>FCGH(_cHr#qWC-po zK){n;MmL7g$l2x|d?ccGr=I?uEqvL0SG^<|Z2IQ@+gnsYHS_vI*5D^iP#c|iFDq*Cf z<#5kEiO>gb zCmJLaotDNJmyl3qx_0M;P)4_fv$KYeo*d?~n_H3I5ri@>DygVI1o5PyTUz+#UsUw% zXxKp~-Q3)CuCgM@qG!*(XpYlnpr@aAb`=wcB_qsMJfJi=_o5K!dYYW%Cu#_p<^UIf zDr~g0pxuo*KY~1WZAj*{$-f55e}P!p+2dr|_OaYKu3yUnWNPL+?f$s|jXETCt)4MU z+6hY-DHnz%v%+Alhedo0*y69g~5>KfcyW6@n#S zMd&*5QrM@Q_pJWX>Jfs6S+fBFOl1PC`dnvGSt6tkVt z@1LmkC@n8fEwqAzXwgr-QVW*;gu@N~nrbMmsYze%%QLU3sli4>MMY&JJYl(N!H=5X zzb}3F4&~$HQ-Vf6NJ_eN>C&yqI!_x53oTvUiHQkzLBXn^NH^dF8(Ukwwzjsr-#<{H zf?nq4mcD)+GdVQ{7Z*AX*KxGabie2J5O{)(2{m< zSS>fSH^yspp3hBA8bc+erO5;Wp=);5+5U=yukU%P{A&%j>4)wgEO8yvYCod9ul@y` zf+EGl#FUhjBmwif2L{qpQc~iUUn=_v{F;1cVt-|bOt`l`ZDf)qZR@bo!J=v7fa~is zzs2aZ&7|%^_OimP@k`Vf|N0v%CKUl4P-CryA6gNO&Vx!2W4A&yIFbr-baDdu`8OZD zy;C1OVjdnFW9VsWY@|C9P;h62^2^H^W@l&jw|ZnYXTvvy&z+-#!{Ln)2lCOg6(VYC zY9XPa^lK8*BhPB3FJ8Q8;{|NQ2G2z%rlgz%l_{d6#93^fhdcbeCyX*?ZsB3scR`&bGNzom8*tM07xI1&H3b!RMm z{p{l2Q%f3%k8h+mBrFVz!_k~Se?EV5X>nn}|IdDaW1~M61E-YM&6}bE z8WD8C!NGTfg9~bEEbVufdvhQNT)2@PwyS4j!)}(R@i0T&TtrosH$&_)_8Huoh%e4_ z{jgR?*5Mq^Zw!CxVX6Et=qI=ZFkih2ZNYNJU=&?ch~%S8?(X!WSGol zc-)|nqr<(;Uk!7vU!TiiU8H|bHLxhSf7JrVJ32ZNcc=W2BW1SSieArVfA!|7ahaK! zB_$_6sI67l+TIRW?H5k^nu>^fbMKUk?U#=T!I!i;BCO_6+Mq&eJ9x!zKil6Es__&q*3xaA|1)VuXnT z|7YYwmIpk0gBBnBHIBQ3c2D`Y-4~Ifjw27Pot)H54l)Y z<&Hudg^X{$od2P9C!VcbNwXs|tz(N(2$T{UjV>uGizz5LBOxi7o{_F2i;KmrtgYt>gp{);nYSt%3JR$4csy};Hvy!=ZbDBxW8&C30;b~9lFf={OPSz@22W^DMLDiw5e=%?)Cdw%bm*dA`1?BwJWIjWp>VZ_cQ5;a=kQ1Et!qCY`HOKW}O z2Ab%sK4a-p_fs(HkM_aA0U~_YhgbPFf917?N8etm46Qicf(Z(mgOa)XYf{n6+q)np z<`{W7$1ka?dVKDI{z>l?StXh!7Ar;NBS8*Mik6&QD8lVaSYU8pVRy#d$o>|wt1#;5 zw?Vjo6O%J8E-t)suE*mO5(eix65|h+VZ~+moceal zdUBg5aN8Tlrl(MUnQeJVZLRf68%hy@V1=3k7WMN&6L1t}Q7ii)Io=-0Dk(IPh}zle zQHvKOTVpE5$gwV=P}diUqN;YvV!re{PoMe|hT&gxlv$!F7e;)i>d_dCej_6T1B3NMqHsVNfv~m~FLlZnp*KM&*W+5c zHIbRg`88XS;cxKv_GqCW%gflgIYCgXu^_~mQVuace%y?UkH?$JR#a6bR#u+JnB`7- zylNYF(IaNnSN-LLZ`p}4rlTo*$~bhTFT0m_czeQOQ-jNuT?JdPKbwzRYqviXTim@~EJ&WhQyXU|Hc zis5F88XC??)~(@t(zwTha~olb|JeQ_tVO1u?>rwD7j2W{qgYxN5qWu7Z*MQR+C3>T zvzJMvwK3!&nba6Yl1NESt?`+VPve$5*4^E0c=@vJ!Ll`RYwMD^ISa@K+jU`Ti{wLF z1R68$;&gYU0?$p`GZV@G=g-yt8Q<73=blSO-Jv#DMn8^@(x|JeTQu8N42)LFAV~!O zg0T@nBO@c7=E(K4>qQ@Vw-P@94A6IUN7=RwcO#5`(gJtvqy!6?Tf_usP7A(&X2!6D^TlBQkqO+tJj~)D-DqG{M>po zLPuk|vAKDnS9wnN_HAhpxRWd_EZ`*9zE|pD1xTvx|2Bp?IrCjjjW&>y-SwIB?Y>a} zzmH!ic(~4Ey$YL@YRZ=uHa9o- zos}#Wkspo94(o;m9Pureazot6G*aFtW@tG(rGz+WB2y|V92OSly1m@Xd!+kN&g90U zNDn4BTIZ81ZS?rKJCHn5B zyZb_A!)%O=*QEJp`5t%rNM+X1NkL8($o{It>)hPaSS*(KXS;6^3=1@4`I7kR_R=(f zSwK|Tf$XJu4q@gC9&223a>}Lh$f!*x}QpC1pcRkfQjGc&Ub2$-EXabkFM)V-@z@Cvoj5JEiD zxm{J~_qU#&RB7iHL%m&NklnNCjA!72K`6VxKza4hE!{OaIB*)S;qu%hBDCYOLA=D9`fDt^wb7Nf#yg&+?!+QSvApP{J$`|d&5xT^@4U4XmF~k zsunITGE!9`H2HLyPrGj#8X2)Iua#-5;AQ^@h9T~jsLLQ({1-auD;%3(8X6j4H2VYw zwsaJ#XyciJyTu&b^-T2a5!~nJcujRfgWU_vs!k+6o4maCy8P%}O+BT0oJ#A32**HA zkI9lot5S+6_WZT_{H7+Jz$Sj6WRb_7BZ@?to0{lLlm4aNbAPFK%p*!kN$GD@ZY}i$ z{ODqf^-fAn?buxW959bPA!T0;rKhKd>=SRa@3BDb6tW~p8;~RkfF<|$_w$>Zc|H1G zeQFL``~Krc;a-azrlLKvI61Hx69e9D2hq#V`YCTmDb-z69|o=1lIcM2ItPcd1-6q$ zK$QH2O4Ic8^i~N3ERec@MI4jQO!K=w4rXLCWBmqVAnT2%AsHhFLsZsl4sXyqd{Kx7 ztYUTdE<#03Edz{3f2YOS*6{cP3WZ|h=qS~)K_FNixZDQ}Yj#T9tT6qIft8^lUF+}l z_w4-q6>ljCOnm30q|yLPo;ZHIA2g-7gVU!^KSQDPfX{FG`I!S^*#Trgzm3YHO41bp zgC)AKP}J+zE!NBd+YXS@aAoDJh{#A!fU`d~Hp~qk@ymrAnNypzC*H=Bya(snGK`DB zjjG;0RP-LDixSe-9iE;x?a4e};PEOnLCo~ImgJR+{P4YXo{L9dqD3HajBjgePmv8= zj;`_D3Z)_16h2@+VWx*rH!&TuamSNtixcY+7O5>KI=PWP#Q$0@1oU6Ev9rr*K91w& zvx+$J|JEN1RA4bu!Orr}KB11n@x)M+_nRvB&^bA|f#I`^#-X7qdoYD-ks9>Vfa3G+ zle=w5vKZ{l%xM6Lf7c|1R;9C@#<+wY2ALK}Sy>t78A$`yE6C9Yc~pP*EC1_&pOF8R f^I+S7KBCn-+4$qh@z8HzTLc;Dnd!c{bUo%jL#ZIv literal 2642 zcmV-Y3a#~tP)v-S#Gf)fy5eQ_Wv6<)qAP@wBg$SVuun-}%02U&I7BI*+GMTKX zsA!@>flMmIVsS)71abSzjHpy9tE#HTJtWAaqpGS(sZ^3J3`3{N%F6MI2Qo=PQFMd_ zt`Q-$02U&I7QjM;&;nS96Gli#$fZk{COQhb01FX93&v82VPRqC&!4w;B#=oBoDm_k zVAO@UdiCn3PoHkwxDiFs@bGX1LB4$XvUBH7KR-Vg7nkMBmv?q{0?&|;ker;H=;&w+ z!-9f>YHMqOy|}nIARxfe(Q(nDMJ+8Yz}VZ{yLRnb7K`QK;gOb>*5BVxbdsH&9TgSj z=o1nfCEIVg%M6bb}Enwy)Qot?E>?Fj#?SFbK#z8pnS8ylN|fPmcGTtf2} z5)yLYz=1`J7GW5+V8Mci453j5cPf*#0tb z5)~B{BP>P<4Glea?i_KOn3yOK2ows%;NW0pX6F3)^L08Mj^jKY&)3(txw-l4*RQ#` zxhxh-uh+M=wb|O*N~KbbMkABSva+&3Crg$riHnQt?(XjD>RP&VX z4&Q2W1!^6V^0|QG-OK}{}&CN|nNHFv#BGhWNEiElvF8A`~%Y>V& zt80CI{ovqWUS1xCVZFV*ChR80NPgYXqeo}XoC#h*TvH9%Xnw{JGgWMK20@UDii%$> zk&?(PP+I-L%~uoo|0;5g3X@s1xq4(wotQ>j!6g~HL%5jYUMeft(ckazFi zf!miaUm^(d{{4H<378cCVPRoqWo3hdgU-&*Wo2b4DJeLPM@2;y7Z(GE5&mROo;j;bvnJPb{joCzObjGj{EnOqNd-o1O5H_2Qq9}@@ zQ>IK&tJNJH9iWxPVu1?>2L}W}G#X7nK){tNSN81L6BZVho}T{v`Evw8lu9Lo!SMI@ z2hQM&Mw~_Z`uY;Di;0Q3d-raAeSJhkL|k0ly?gh*eEA}i$zoz+2p_V4Wo6}p1q+x= zCW@jvckWcFR74Yp!y#W2O@?;UVmyfpe0;o#$K&JUZ{NQC`0?ZD=;+0Z7k~Tq&Bw<_tJQXObpeMrZ{8pX;^X53Zpr78 zF)=as?%lg{=T2;Ftf!}^mzURx6DQo=-Dl03Mfec@Jv}{Z)~q>n=+K7`AM|>?L?Qv} zNC5aJ1Sk{=Z*OlZyXi3+9-EpoWGc_m#yp1n)043j;*1$HUc7h#66EXan~;zo6bjqh z+rNGL_TQ{`v0F^@L?v}G)XxOeZ~TeogGI5>b^^Tmr7 zgM)(w0s)J~+P;0eP$;ywx2Jk`$&w{5E-nIrz}3}NB9UCXc8$qoA_!7ZQNd&~=gpfJ z8XC%GvoBt}X!LP=d;7@9$f;AO&Ye3KL6F$kShZSBRfzun{sjdEYu2p6Fib2KCnY73 zTeoc4lAWFH<>htx^5vSEn(5Q0o3M{+jAjnmS}|J^8;u}O>1J+L{sDMAUU_-B`F1)$ z=h#LIV)e}m1Y#9nAwp<@5ry_-ptZGiRCYQ*=h!S~JZ40wcOnC`VU$VzX$}t$KXc~H zL`MNZ5bG9VdwY9gVj_#ha&>hT2m}uvJg{QtMj0L+MvcK>n6>0+YHHfNc{8}Sy0-1F z%f`fF%|eWei(@jGEiElwU0q_aI4>{Hik%x}>eQ*k{y#Z6dDEs%;F^3I@#oO%^>uZ1 zLZL7}Ki{zR-_Ay6W@bi4hD;{2R)=FLM5E^iJv}{d-@eVv%=Gs5c5-rxjg76TsUaR2 zXT6h|Vld*EQ7+b1O@1qKElIdTN(@hpP;qoSEVXd4wf>Gk@+z`zwNR>)*BjYdQEA0NFF zc@8jB494g4PoF*wuE~-jD&f}0j~^ux$^7~A-Q3)^Zr$40*hn4-8Tw>nXlMw-FsW1u z?3tOF%a$#(q-Qc(t@ifq+Z#4)aB^~rjEpQTEgcvbFzPu1#40i{DpV?!NF?HNxwf{p z5fKs9)z!d0K6-D4-XH!yStMk zv6imv)2B~BX_1|s{oBmofBIyF&1V1i-+ywsysxis-MV$Dsj2tx-v>?OuXi$23}zH6 z;Z}Zreo;|TYip~YpWn7^+rTtK|7>JrWK>mEeg6Epva*uFV34&r7WS;u>1u0h)6&v7 z98Q0Ke@RJ6R#p~OLQL~Ve!jslOe7Nd`}-5i4nzL5-pNcc7y((^hENE%JUl#h@813F z*|Ua*1`NYiuU^gJa1I_kXj=a_;n|oydp4iXKY#vwNlA%ND73Y;wY=xouV0JBVsCG6 zkx0bha9UeirBdnEty^7OTuh|G1XkOuba!{h$H&*z)eQ^`3=R&KmX>yObny9ns!qmD z?_~N#1Y~X7Z-rZP=FG{@&+qE$I(_=IQmF(>8ZvatMn*xg5vw z!oori4-Y##yYTSvUAuPi`Fz5E-@bhd7cOKnnIRz|jg5`Ku2!qFva&cFj-#U^pU=N> z;|4jZ5o<)UP=)G6)pTrSta!GXu)UB7<)w>dF{KH0!= z{Ktqz2~uEScsGQh;NdB zV - + + diff --git a/tensorwrapper_cxx_api/inherit_graph_18.md5 b/tensorwrapper_cxx_api/inherit_graph_18.md5 index ed7c449a..64b31d32 100644 --- a/tensorwrapper_cxx_api/inherit_graph_18.md5 +++ b/tensorwrapper_cxx_api/inherit_graph_18.md5 @@ -1 +1 @@ -7d5b1bd39135c93e0c0206de12d8a751 \ No newline at end of file +55be9459c9af568060276ab3b11fc83d \ No newline at end of file diff --git a/tensorwrapper_cxx_api/inherit_graph_18.png b/tensorwrapper_cxx_api/inherit_graph_18.png index 37d106bb5b8c8023b68ae3ceaae377ea39a7a134..0855b1c5f66c6f2f3058dcca8c39409e6413a2d6 100644 GIT binary patch literal 3949 zcmZu!c{o)4`<_(F63M=2DH37q`x>&2LCIPTiP112!Wb>~nHLF3gOSoi$};vP+srE@ zOK7Y$4a!)CF~wMZr|bLIdtJYCu5+GqU1#~+&*yp0eczunh_mepZV7G>2z26-oi!8$ zI@AqZYaizX&a9hm{XpQn;b3bGI{3Snw3X+8K>YHTtS#JQp0CWrISTz2IkvtAb*Fc6 zcv&1d)NqnGA>t0rQw}-NW7(5x*%_knF2oD!T5=-y#%OXG_oJ?L#-H}O={|SA;(Yzs*M^kjkiYe`;uZ#E(DVVYt)=x5 zk{E2@Zthfp5y#)F=@@VTM)T(8e*>LZ3{lBdR#w)qRmEIw%gQ=gR$g9cgmFEmteglX zXh(}-oEkSaHm(nyU`#h^G<6GJyQ@?bIXOGEb|ioiH^u4M!q7DMa}2^t5WFsF+yl^XF2Per*!q0^ZHVA#z`iQWB%I zRDPgPj~_}9!sGF;2?PNWVy+!~#UCY%Kp?`SqsilMy@$VkB~-7_>7kWgL~dti=Tt1V zcXxX;i2;1iPVtnst}X}YO-02wIvumWpMYDIHHj61PgErVcyKuBg~7s<>1iL{l>}h` z!c0rFg0{900Kp+owKIuF6eFW|)}NwDqtQBthFm;t*wvnVhvs*-mSZ=~#`kpU%m#Ll zD+dQUO)Mpgm7Khh5$Fh`?)6KD{1H+Acs#==GE)1ZwKW6=Q;3R+a<#GHRP$?n%E`%@ znyP&IbYg2;8=<-RnT&Cac~euHB9=-l`DpEEY-gN{rqJ50>I5E zcD*Z=^uxjERi^1qY7vTcRW2Eyd4dK}J)l;1B(s9R>1k>Br%%NqQZz$eq!q)9;d9SI z`~wos7iRUnClYf(khr*(_2~~EKz~0MzYP{JxwO=dVn1Sh`sB=Ee*5+Ac2PIo+W=8WaHcV5JF zV0#o8_4eIL?U3mUplz{Hv#8&`*g%mBKFUJ4$;Rq!u+S*vhJkySi~l~kxr0O>3h2p^ zn`oDqXb&83pA68Ko8S$bZRG;3Gns$;(ptXL&BY{Xbrqqlqr=q?)Pn1v$P{G=DrsmC z-CP*#ZkS8R01in2ke$7K7f@f2aZ~i0wl zYlDX56%~(UXJ_k2Ebzw0#+JCN2#AQhs%~ZN0R7}y6Tl@UEiIRAmz9^7Twkw?4g7Iu z`#sqze^?I@+Fl1crI2T(gW8r|-j`@G3*GoeIXHk-p_bq5Aq#j{=-PTzD)q3Dkaa7_0_X=(WP9pC2a~JDATh6)#m!NybE>$<#ku%O8jb zM<&|0CiWX0lVxON8soQXvNXcN!YaKR__(;ZURP9fcc<_(0A7(dG?d7cHPdZub1Qeg z{(E(%5lQ9T+1b(1&`6w}_2cE^v%HWG>rEH7b8@<9Yx{S)t6^k5YisKd-Q8Aey7}t< z{{ZEaGL85AZkYj*vQpsgXs>mY;pVs z7llGODJ^|FJic!GR7>iGJS!_wa|g_1zy3!tdWTVb;L}TluPpEdx;L_l=P3>Q6xsZ~ zbzJmpCxc4XMD0X=lMGDZlkR$Ol;@;?z#%<7z1FR9Z#z4?4|Tz#yofN`$6SEtEUc}M z`1ty|dU~eT)PVI34LLye4i4XzmQqFiVh%avUq~u1SK^a4RBRp$9({FvdxI7p9{yo- z$c!I!oS)w|I=Z3r!TQ!#FIg6iaVpfcIGZD9Vj?Z68!A>mU4MHj3x~rRL@dnzo2~G= zva+Z0YAr@W)}cL8^GSEw>>OjZxGx|)3*zCC$z(!zm;DXw991n)dukCWIx0SFm+%#r z2Nc=Pqc&&d0Z!tRH8uW)glm0e1sRL&aM(LJX{~&9v&aykWu=gvHyC}2{FylIpijuf0cmb6ytr1``g#nAKl7Nfiebrb zZG!2!bLZbD?41(4Sm7N?=f8H^m24b4`=F`>kmdBwCu#^)ouLr*j@=p?1S&p0D<=mwHfMHKke^?)tgP|_ zgW3|l>LYTOe*9s>Z(dMhTieCw7)@~pl*^qJ7h^blE%5P23=<%~8LX(Nc-qX&f9+1*vqk*K$cVXh z40B1KeS1MtNLUzOR@S3h9S{&OKd3kN2ugVVeq#N1w5<)PA40eTx!T0@m(mSJxj-6G zZ+6UlMmi3i4^fqa9UJQUXZhMNJJ9CYd)0 z4bWck0W^nC#`w57Iz!TG#bd0>wwAa!~fIS;DlflCuxK;!0FBug1&ao*`nG32|+C*`Z^PB{|c9EGCVFkQ7qDdll9Cz42|JfONl@=}%qv`m7yxi%bJG<9Nu*G`fR>ua>dl∾u3P zilHjyhJL}54<9~!>((uEIQ;zM$B!Q&tN#McqZ$JulB48uV|n~-RzGctPVWIUAiJO- zSeZ5eg2%Z0()t>LUTT9%OG&LWM_sH`azl*EKegcRUM1C!j$EY2EW^?zbhfWd1%Sn& zZf@U}mn)D6f7yrzA#o?8e0-hvH0b+^$MnohHGJa2?ml}>KYCRPc=kJ$Dwp5Sn2lQ# zpAj4w*$fQ|I@aX#4?y7f($cOaF(wV6P2L8)f_ZGLVQXt^*0X2azq^D zq4`wrrm+LsC8Rc&GSLfZQH4>0e^L&z!GT!kKccrNQ&R%M!bzj$E>xg>mVW)R1YUXe z?Ab{vsnGDLyfJ9cq-XL70;%gDAXKL6oRU44CNU7h>lvZr@Z+Hof* zC;eEaG6x3-Cf!0c`h~$Kz-=w9tn>mZ3-R~Q{5^+8PnPqZ{Ri%E1}C6=d5QhtSGYXZ zerEC|c;t~q_bos?ovoSO{AQ4t82zT^=Esg_U;OpKfLT9-fzKUnYiP&^K~N|Y0fCj7 zmV98gf&o=7gDBrx{Dc#dlB%puxO`be&AT20{KMxoG_pPwo2g@>qodt!-aOk!yYtxo zCGeEv9Qt7I{od!O8FTh3J^99PI|9(Pi##H#r{m({xcT^Akuzo8fGoGSw}+WON6!I@ zrlO*Pai}|#SG0(q;5~DS3$S;tp`ofedU}$%{#H#|EPWRt@7A0D62oxBckU{efbxeb z7#Ljr^FUI-74RCpWb&xikg-+m&B0Ot-)EdrG)87(7VV3?CA*e(_U<6Wvh1E^b7dtj z5{b0ImDdXaeDv?YKu?~U_ki@rGSWQ}QAtUj`99(qcmS5M8TT0b=-=JT2=9jOYZy&Z z;8MfrD&`f3VZIs{{ePj&zr^)mPyjZduaay3!UL-V zxM?4D=*X#-eER#oaNyreO-n2IoG4a^0XW&x(sDqW^!jQ99V6b|-|w)tt4rt821b91 r{bux816ax#i-SpGwfFuT4h|paH+Dk`EF^*TGw9MqXX`47 zz;y_G_1RB?kt6Jn32-^-a?=P2`Sttry0t6?-1!iNylxeevo_&lZgmI7w)xAKi@oQ> z#Ten9h}Vh_TRNeSDDeoy8DX9iO!p&BTin(VE@9gL$1~O9Y6s_OrF1v;nU2zd=Tgv0 z7A0@PHrA&oMe(P%16cBO5aahVaLqlAj@lpi9*ko@H)B5s;^yCG?1aa}utO>AhFagw zJHI-_i(jO$C;ZRQi)8$P!)c%9;P7y{0##m+x^UXf-JK|y?O(RMx{ADWXQ=*G-2M3q zJpSY$m1>62p_!`A?=F3_)DXdEuFTBLs9f^MC&CP!<^Io*XFfSOd9dB1;DO=aId@YA z&;3dmHMg)3-LL!0KE_h9H>YFW3MzWFC`Cp@gel{S!^hHF*}~^yxwyC>5SXA~+y2@Z zZD!_#fPg@y!+Rbz-|^}8r&z4(kM#-LR*Y(~g><_7J$#)uOY#Esuin- zgmb4Fi$kVoKE?ml(9piQ`B(c^nQ89F(Rbb==VFC<;%UpvaYsj?2{l<;`}>Bbre`A} zB81b7X)7!79K2UHeHYFv?5VGfHFB=6uiIbVqmo?MAvQIRL;PW`)HieFeoUs+OgHRw6xU9#>PlrU*F2f$?W_0@8iw-dU{fDcm(PFdty;hq@KRM zH2CHHV|yFU#>PhSr=2*%$!Y25rx5$eh4gs#BsVuJ3rkXTG@Fn%CN(BzduQk21S#0A zgP^9RWs;bf_^Bb?;gOFs+}hfban(7PW=_+|%geK$S@v2G zP{0N9o7q4+K9|WKw^wKMW9FHCP^#kj#L>}F2*lLXlq(hq&X8qd*_Wv)!v6k~>ipJL z?H?Pg96S&R9*>^}dEed+X!$XT-Q3xs%=cw){oMG#9MYopwXKaMpgBiCb6?)f!$T5n zB9TJum6nr(PKEu__VV(2Z7#*d&HZe7*$aC1Y$2I^>HhuuGK`^)d>tG=nM_W)AqFNM zA>%Yb46Nu)&CRz$w8?~qC*&=Q{FEys7lh%xqeKUVsl8sC2(dKVN(?_QFK^5zm+|I6 zw%r5YPMm>(!Ip-HmDL3@WB=X}sI%Wy5fK@=HT@4WLQ~TV>hU|a$pe-#C2f~gH^71Z;Nl464ICb0l zvegtdG~x;i;p@sHuWEmpxPn6AQE;qm%=K#-q!tqzV9Tznn5d@Xz)WG(JI}9hdyr)g zl8FR`6ugp@oE(v!&Z8Bw3HfkLmn|$R+S;V)w=QUc=>q}+zKo8>84)hscXML_dIrml z%FY%5TX^~M<+E%xzrwn@^J5J@`XM0*9(lXsy_{#yo-J-{7~Q?ghqeK*qLk(TsX@C^ z;=9^fRaLdM`^~JVpnwU)rx zfq|8_wI?8dJ?P`#{qbYvmQ1t#3p1TVme|KwuzkaWN)E z(rjj><^w)ASE%NR>r6>38D_eNiE`}EDLfYOR^pU-)p2>er@LEXLWkPhxM$K{uT$>) zN|NtClpXGNYQNgo*Jt>yUv6W=c#afFEg`VT$3U}>z(YLEI-}+r} z;UTI5qzGwbM46nt1UAOb$=PA1%TN*WtNIr9i_yVobNZGM8%vuKQd3b8R#i>IYUjEu z)+v6*SN}@0ar~z}Q9!jJ3Xh-3MNcwaRs3AnRWEi2iDUth;TI72`t|Fx%1XJ_u|_|Q zNjpgpi?saxj!+FW%r<<3k&`EM#jdc!BM}TUG?}H5`)pGsHpJYnAA?2 zrB*xW`}oK=_)ci(D=UZ7mG`@ja*V0IOZOUmxgns`1~evndg8aYx2056QY$MfJ(mVb zb|=tNkJo^ZSi%9^yXFGui$w&hCzb@Cbtn`nCMzquy|q<9B573PoSnlPe8vowG7~DR zs-%^al1InJBzr|AB=8N7z83~e=Hv*TK6OeY7O6KkH-}l6+1M}>7Z*n&FI>KC25C|V z3k!o|TGa1c$w-NcVr4yfa-ig9hD!TfcbaT{;DV`LONb(vzPqbSq{M<)t1yM|c<{i& z*;)9mon3NSnWUHfuCA_FfXI@P65^`Z#?n$jTO0CiU7aWviyduxEIQGO&9Hgj zu(v{*6crT}OX;$@hB(jd?%|Q5SMUYq0iU2YRaC^KUvcQ(>+9(eg#8KW zHsO-?0Kev~(x41dbuqt?kT@qNCuVQRhDavo0mexr(e0Idrgt`WR^;rqzQ7vQSR zinFu53;Y5WbP6?Lz1%+_;3JI^{djFu^*3NqC{#>*JmBBa-+P%=?(8YjOkWM0P=?p9 zGXd^=9Uq4R7`N;V-z$If#*#=H!kguEY#6AhsYL?`fHvgLi^NY3PMK$>lmu@DIrteF z86gb~3!9o?5OaI`1hvT!W*#0M{{By30d{oPgok0pSJI4uSecsbt1bSl>NCj@F)3wn z)7pCr`vZ+?{}{#bGBY!_v{Yhncvw#+4GtP6UtizOo}O6;f}3ZK>Q|cwlrpH%H~QfX zGczLt1JJxtI;EkhdHeS5f-PJ^Vx0uN`_Vxv zt-L0`Cd27ZzJBc=f-WvD!0`SGJq)PA9ooCP8izqu=g=|$g)N8k*-}zceOa zMR8zY;LGrE`-&oo?ET1OiBNzn-tWTz{?5$KKE-kB-V4EEMKv`A1g<@LwM4vXmQ?$J zUU1ACFmg>C&kg&H#gP^%hO;|+@1u|Z={nP`l-*>WbSl>|->i@>^z%4$Lw9bB)H3^h zU^KMrPFE5XUHOh}El#ZhGia-Jct1Te6EQewg-}v{E?~TEc;= z1_cMxHfa=3AD^hkMm5k?0)c21oJEz_CNK@6N8V2T^gy^iNhjQ%67h=(J3fpqEG%S) z%+1f6j*UnP{cH`h?0l6wm!hhq6aiY{-+e9+#^T!Ar}3GIUT-h zi`PxJIw3H2myF(U1f6G5WhM0D#fx@oANecl>n{M`Mg-179WhHK4+VNQJCeQPz*M{# zw%upUY!BSzD3@ - + diff --git a/tensorwrapper_cxx_api/inherit_graph_19.md5 b/tensorwrapper_cxx_api/inherit_graph_19.md5 index 6b6a58dc..95cbbc17 100644 --- a/tensorwrapper_cxx_api/inherit_graph_19.md5 +++ b/tensorwrapper_cxx_api/inherit_graph_19.md5 @@ -1 +1 @@ -664b7385523813895cc31a9694a42748 \ No newline at end of file +3defacd70fe53e5c3bda27995cfb683c \ No newline at end of file diff --git a/tensorwrapper_cxx_api/inherit_graph_19.png b/tensorwrapper_cxx_api/inherit_graph_19.png index 43aa8058a87183b0d340ec4477ccdcd582ee9d1d..f1cc5701904b0958b79923e6f986cdd7d46acba2 100644 GIT binary patch literal 2642 zcmV-Y3a#~tP)v-S#Gf)fy5eQ_Wv6<)qAP@wBg$SVuun-}%02U&I7BI*+GMTKX zsA!@>flMmIVsS)71abSzjHpy9tE#HTJtWAaqpGS(sZ^3J3`3{N%F6MI2Qo=PQFMd_ zt`Q-$02U&I7QjM;&;nS96Gli#$fZk{COQhb01FX93&v82VPRqC&!4w;B#=oBoDm_k zVAO@UdiCn3PoHkwxDiFs@bGX1LB4$XvUBH7KR-Vg7nkMBmv?q{0?&|;ker;H=;&w+ z!-9f>YHMqOy|}nIARxfe(Q(nDMJ+8Yz}VZ{yLRnb7K`QK;gOb>*5BVxbdsH&9TgSj z=o1nfCEIVg%M6bb}Enwy)Qot?E>?Fj#?SFbK#z8pnS8ylN|fPmcGTtf2} z5)yLYz=1`J7GW5+V8Mci453j5cPf*#0tb z5)~B{BP>P<4Glea?i_KOn3yOK2ows%;NW0pX6F3)^L08Mj^jKY&)3(txw-l4*RQ#` zxhxh-uh+M=wb|O*N~KbbMkABSva+&3Crg$riHnQt?(XjD>RP&VX z4&Q2W1!^6V^0|QG-OK}{}&CN|nNHFv#BGhWNEiElvF8A`~%Y>V& zt80CI{ovqWUS1xCVZFV*ChR80NPgYXqeo}XoC#h*TvH9%Xnw{JGgWMK20@UDii%$> zk&?(PP+I-L%~uoo|0;5g3X@s1xq4(wotQ>j!6g~HL%5jYUMeft(ckazFi zf!miaUm^(d{{4H<378cCVPRoqWo3hdgU-&*Wo2b4DJeLPM@2;y7Z(GE5&mROo;j;bvnJPb{joCzObjGj{EnOqNd-o1O5H_2Qq9}@@ zQ>IK&tJNJH9iWxPVu1?>2L}W}G#X7nK){tNSN81L6BZVho}T{v`Evw8lu9Lo!SMI@ z2hQM&Mw~_Z`uY;Di;0Q3d-raAeSJhkL|k0ly?gh*eEA}i$zoz+2p_V4Wo6}p1q+x= zCW@jvckWcFR74Yp!y#W2O@?;UVmyfpe0;o#$K&JUZ{NQC`0?ZD=;+0Z7k~Tq&Bw<_tJQXObpeMrZ{8pX;^X53Zpr78 zF)=as?%lg{=T2;Ftf!}^mzURx6DQo=-Dl03Mfec@Jv}{Z)~q>n=+K7`AM|>?L?Qv} zNC5aJ1Sk{=Z*OlZyXi3+9-EpoWGc_m#yp1n)043j;*1$HUc7h#66EXan~;zo6bjqh z+rNGL_TQ{`v0F^@L?v}G)XxOeZ~TeogGI5>b^^Tmr7 zgM)(w0s)J~+P;0eP$;ywx2Jk`$&w{5E-nIrz}3}NB9UCXc8$qoA_!7ZQNd&~=gpfJ z8XC%GvoBt}X!LP=d;7@9$f;AO&Ye3KL6F$kShZSBRfzun{sjdEYu2p6Fib2KCnY73 zTeoc4lAWFH<>htx^5vSEn(5Q0o3M{+jAjnmS}|J^8;u}O>1J+L{sDMAUU_-B`F1)$ z=h#LIV)e}m1Y#9nAwp<@5ry_-ptZGiRCYQ*=h!S~JZ40wcOnC`VU$VzX$}t$KXc~H zL`MNZ5bG9VdwY9gVj_#ha&>hT2m}uvJg{QtMj0L+MvcK>n6>0+YHHfNc{8}Sy0-1F z%f`fF%|eWei(@jGEiElwU0q_aI4>{Hik%x}>eQ*k{y#Z6dDEs%;F^3I@#oO%^>uZ1 zLZL7}Ki{zR-_Ay6W@bi4hD;{2R)=FLM5E^iJv}{d-@eVv%=Gs5c5-rxjg76TsUaR2 zXT6h|Vld*EQ7+b1O@1qKElIdTN(@hpP;qoSEVXd4wf>Gk@+z`zwNR>)*BjYdQEA0NFF zc@8jB494g4PoF*wuE~-jD&f}0j~^ux$^7~A-Q3)^Zr$40*hn4-8Tw>nXlMw-FsW1u z?3tOF%a$#(q-Qc(t@ifq+Z#4)aB^~rjEpQTEgcvbFzPu1#40i{DpV?!NF?HNxwf{p z5fKs9)z!d0K6-D4-XH!yStMk zv6imv)2B~BX_1|s{oBmofBIyF&1V1i-+ywsysxis-MV$Dsj2tx-v>?OuXi$23}zH6 z;Z}Zreo;|TYip~YpWn7^+rTtK|7>JrWK>mEeg6Epva*uFV34&r7WS;u>1u0h)6&v7 z98Q0Ke@RJ6R#p~OLQL~Ve!jslOe7Nd`}-5i4nzL5-pNcc7y((^hENE%JUl#h@813F z*|Ua*1`NYiuU^gJa1I_kXj=a_;n|oydp4iXKY#vwNlA%ND73Y;wY=xouV0JBVsCG6 zkx0bha9UeirBdnEty^7OTuh|G1XkOuba!{h$H&*z)eQ^`3=R&KmX>yObny9ns!qmD z?_~N#1Y~X7Z-rZP=FG{@&+qE$I(_=IQmF(>8ZvatMn*xg5vw z!oori4-Y##yYTSvUAuPi`Fz5E-@bhd7cOKnnIRz|jg5`Ku2!qFva&cFj-#U^pU=N> z;|4jZ5o<)UP=)G6)pTrSta!GXu)UB7<)w>dF{KH0!= z{Ktqz2~uEScsGQh;NdB zVAx7YZDuyN?U5XHT zl}?Z-H3%UB3P|~l@4xSxSuC6FomY2n1p>Gc~jY>?ZK2(oq5L z<%47+z|cOhFfjz3|Gf*^N|7KCgQJh!LKA8u zeK*bTD>)P0`W4+kz6CZPTpV>JVP#~fGqbjq3O%piAq6)-fBw8mh@EO&g+JXGXMbDX z_i^dZpFgX(Sg72tnwgn#a|iz)S2PE(Pi$;#fhUKQvy85U|Mn5sB$SnviJN5X!zJhp z$+}w#U3Qyr@(5akyhCWQcqP}VC?_dN3mTi6s)rGpmzVD=VPyAOT!SRwX{p@Mk0|53k&^7 z4=*ok3ZJ zA?oQ4kqZZ{(4J9uzZ3hVY`S^@Ks&{d58H-uzM@oUBdwY!= zBZ0&~9Ur_#m(7;vFQz*&0^W$8?O++`slArL68la-x4=;um*`ehAcBO`g|=KXxc*#*!>Fhm_K&q-gXa`G-A zpB|(u!kRVN?@{~d?6{(~)>bV0b5DF&c8LZyHd*7|zA#uKbEfbOS`al2O{X(scc1%1eJ(31mZk8I{GW({OQJ6p_`jq5zFTJ&(*=By>qPQ_IrmAr^ZD`4S>QHj5;_t5Y~xmeEO$B zzwq#oB2K8uQE(m@7>EG43Q)~b64`lQ5j`xH?G2O>j3NPBK`^lG`TC%yD8Sitl11^v z$jFF0KBF_iUJ|*z*o17}u#J)WO`#mEq5W0)Z@RgO!s`I4zk6q1HA9}SuP81yDzq7! z+a4WXYs(vcxk;K_cpd3<9uqI#*5Wf+@??D^JS?nZoe^LX07d`RAk9p?(+AIV+j0S| zFhxSm?Gj63P*YIT;>^s)>gwJ7&B>*uB~Wy2t+KyAncV&d))jv#O6PoI9IMVEtQA%b z1;ax_g*9LTp!>)Bn-~lxxJ{OmKJ>?|65=dM06#f7xjvL@An084z$hdnL|3;Xg+prO zt@hUXI{rS{E+eF5(Lo7ezKlJ;jZTwW@t_4d* zjbQa>8Wh)p%F0TI|9)=q(2g{xN+f72cbKaNM9f@x@ZbTnkk;(iTOtBQS0g{Rx4RVD z?1pK%y1F*qdj=F$N2^Kgm#Grsgo5u$<#FP5cXxNFa$y3Ed8-cQTs_w(&V8OU|3V<7 z&&3Xh#H9AO{~$CrUIWt3%gb9^Tif5?Z*6S_oVXX2l-NU|t&zVo>Qq%#p>}pS$C_^p z!`|xXtFG0;mj!tN+E5+H+amH_N;jpg4d-{&dfoO6MpYVLavKOHSK;YS*OWqa#XK zD-iz2`g*0=^%0Ck39FzWlUIL#e@c4#YQQzDNoIQhkxGwM5@`ky&s;E8L|H}U3j3u+ zKo%8bWMUQ~+Wr=UDy9RE_v%gKyLs~_wH_1-O%u}QhpeoufIx4x!u46>jj^49CxG64 zQT^NI@V&K;4&6eV*C~v$ld882H4u#&d<-2w*IcR&evfgYW%gf6V=cgKW1ExJb7Sy7V4plSXuUY+iXl&fe za^pnzEl~yj+89eYIoeC*mj4!T&9=O*vGH(w;iI~?{04fd7z?ne*ft?CvALw#|z}ad(K0aJrTz-CjtE;QN>S(a#A4|cKevjrb%7dVwT2qNf{{C0N;DMo` zB3T|4*A+g#jPGESxisgCPZpbO5I%`Gtry@P4@ot(`uFeOH#9WV)=sQB^T)lYHkn!l zjtLsRvo=mnPIh()-w#{E_YB2uSy?fENS>ZE_voChamQk@nF5-&P-qbpOjum(6HS7@ zW)ar0w66&i z^!WIA$XlcpZNErnk-1Xt(b*qz64T{ZSy>|4rd{3LI6>Z*@xLk*y1To9N}$nb3v=^e zh+r!S`)%k-t)#rXA3g)X*J5>8+D0|=hq}5i_Z8o0J}D_Ibo=vb`^&+C(y=dLb?->l zp>k++R9G{pNLNH!Mn*I0P!R(emkd@mg|sAaA}?^KqF%h1n4Rt0^-i-go0Xlq^2S0E zd3v;-kJj*S;0;=1zk{`rc9gUC^_6R~(i50=+gWM@2Kp(7l+_PEi8`B^qw@?}_HpsQ z&`4y|4F4%HHJb^sEQ&FlrO{&rV%gi>H8nNeAUk>o#yB97t1?SVrE&(fgEv?Y6o%(? z+fu795I(4sPPqO1m^Qv5HiC!v?msat3uUW(o*t>Tg(!>F-M`MC-usPd@Y6J*prGLM z=g(D_*{R%kl$4a%Q{o?W(nXAOP!Wd;ww(XJhk6s-vaOwt`8Ce-t>few3 EAL{(-dH?_b diff --git a/tensorwrapper_cxx_api/inherit_graph_2.map b/tensorwrapper_cxx_api/inherit_graph_2.map index 4ec84434..41d2cd1f 100644 --- a/tensorwrapper_cxx_api/inherit_graph_2.map +++ b/tensorwrapper_cxx_api/inherit_graph_2.map @@ -1,7 +1,5 @@ - - - - - + + + diff --git a/tensorwrapper_cxx_api/inherit_graph_2.md5 b/tensorwrapper_cxx_api/inherit_graph_2.md5 index febc82f8..2031b4f4 100644 --- a/tensorwrapper_cxx_api/inherit_graph_2.md5 +++ b/tensorwrapper_cxx_api/inherit_graph_2.md5 @@ -1 +1 @@ -118bc9c25395cec2ce1c3bb9b4063338 \ No newline at end of file +b2b4341c3fc425f861e16d548c28b223 \ No newline at end of file diff --git a/tensorwrapper_cxx_api/inherit_graph_2.png b/tensorwrapper_cxx_api/inherit_graph_2.png index 3f2ea15c0ec7cdbf8e3601f80c1e06462578d447..0b457ea7f8a50a3bcbc6db4b4c9659df4a9fb9f6 100644 GIT binary patch literal 9176 zcmb7q2RPPY+xJaGvXaQ&BRhMq5D~H>GwZgAkn9m5B*|Xc*<@!WblW3jZ)Im?^PZmf zeZKE`j`#bH_xowjJ6d0xNs_xqjyP<7S&csS%Z2m}I8Nl{J%fk5kl@2=SB z@Mk89a~b}+YN~u+4smh$lirXUgFw(Cl;mWzUL!WZ|LO z@+uIBbVGF{8bZ20y;l`;V`BsN>cYxUu9;Y2b@f4RnvZCe8Tub`c)ky&4Lib2_3>(9 zZtkxHJ|rxznGoz*^W}?IMml6>c_NlONve8>Cu;tI+zY5s< z`}<6cj83%%u*=fY(wrRT$)TyKv;K^G{{H@Uf}Xv}B0>(6%^P}pdaA0b%*@O_K0XIq zGaV5rDJe;U_T})Ys+z8{*H=>`5K(;apfl_iyDrDb@&4Mc?u5Vz0xHpOCOqWi){IfPH*VaZqoc#a!!s=tzH`TV;G;Zm!W&v_f9d8qCpI=Vqc1O_6BBJLESTcD z3JMDFaB&|fE1#U4K!)DM#B9@^pPy%BWN>nF%4YD;($ezt6IWlyK&PNcs(0UdkUf~1 zO3fTI_Tz^fVGyKbeXK$)MO2(#futeU*}+r{JrzD6D}^UUwvsT^?JIx#H6I* zZS$=m1QlcJy}hc5ZixaKLI(r)X+*@t79Oh8oE#k$=~owLW@Z)__YMu+r28>EEYDZ? zm0G77hnu@(C|8YLin{FkKR%D}(VMe!!d3DS0bY4$cp0tGSZj*ho#cw}`rVx;Kz{A3I}YL`NK3GN4slLc+z_`I~83LIR{1 zp9_awr|^4c=T|D?V@(T7ONXDO{_9n~7d|^oLPA0Y<=Rz4C6A_-6^Mj!uS=D4Kiw$ZOSX zhiS>}7y_O9PLYxK?p-?fR}~c%%=M9BmbVaoW!dbmA5f=TDm4aNF(|L&y*v8^UlRpv zt)?3-dlI>uPIo38o1iib8oiFX;<%}(sIoQk)mgt${Xt95%w+KCG~xMva1|4Cs?qyo zxhJWmrA1Is(9O+_MK!tf^XKO-E(|Ac&%{JU1sx_2JEYFbii#d`#UahjXI*M;bGhi= zyB7$by376L=DrIIYz-&n78Mgi-3^&^{UM>!go9}QIT$NyYioM~i9Ma@opbuy+G=KM z3RPwVTbgp8k(ZPE@^b&dl&9nL7mwLy|GK)mmKK==m64el?zpZauk)Ryu7&ye@$vD* zq@;y~g?qBHcJ}tMGn;E`6B84jo0B452nu52_o=C>67ktz1CtUG9wrGEefc8Jzz}$B z17}fE3YDW5dAXOT$QbtewfboB5xKSx{_^_z7rU`?3D3XJU0ntE`PXNfXx!7uKGcP* zJVry@*00k*&Uhb8t&NsYkde))wYs>t{OV1iAR;ogu&8w3nvRdZeed2q*RB171E?#4 zYuCz3OQEt^IXL(Q1mv-A5fjHJCUP0n^tZOQPESh;2|Zq#fKvAM_RdvHYcy#=4^nq> za&mMmsT1v5*p8$WDSx)0AefXAA7A6P@np3?%zaZuNvW)&Ld^I4w9Q%v~#77Id7R930dzG_<#{5b*rFE_Jq|wzRZ#<;s=BDB9Qu&|#ZSHpQf* zq$ZvBSG5CZuVP^}9nObWAp4e=mgs`u<^Z}&U7YT2Zf@@FJ)e9{7#0~>TvT+noa7iJ zI|tcdpr`+H6at65$)d^uUE*kGsV_~c$!Sg&_LO#UiezD7!DGpBCOKmX zYinz6Ztm##HJGiuI{k_w-_r~lBH&1;K4Z)kZA+fPtQ!s!Rd{s7H*YdTEAku1>2gFy zMIp;{fkv?9%CIg`+E8;S;TdWr@F_{5ii^1@Rbt+~<6R8H{w|LpE#z|JKH~8Qpc3>! z>l+(tsp5M2`X_rULp@1CCB{wXNsf&f9^72^ya|Pkjg7UnB7%Y>)dec}S_v(RF$(b? zKDeD8Zh!j3#uax05uI?1Xeb7lMRKzEqDt`6QkU_kf{6|{6~yxv;`|Eeqwa9$U0t&U%g5GhYJ{ny z?oYD?UyVU6?jBJHIebgY9bm*_LtX~piN1c*+208QYH`*(cb-;^K|;JFFJ@Z;+4!Cg z_=fpF>+taKFfpO+;m;EZu@Y{1cQ2TW?QkVGjp*i0DoV=v`T0XHA8l=IYwML_!}{)? zo)Ce^a$}!p9qns<$+ahcCp>(7XzJ=VPi6y~qMTueZ&gRf=%lbHC@Bkzi+v8J+yU__ z%FA!#Dkv*=K}%^oKVC!jrG~c6Yv!s72nxRR@W89(44@^apxE8r#Y9KbNTbZ-4SW>y zwiOB}H#_^b z)Z>!r-&-`^e`ZNDGRVZI#j2_tMT8lhg_YpTozspb<`mKWp4$#o2r9JN*V5r^?7&PP z#3=H24_hRQ+&q!G;4`jwK{uI{iNx)vCm`7T`pU4OVF(v5&g;S(mVeu2eLhblAV9@u z84p21_LxS@aNI8{EPV52pAvyh2iKQ|hGu8w+vpfDm?iF*%iC2@L}o7Myw z-y7f4yV@K+z&xjZ{NN;Z6B2Nh@|k>jcAS}$<1pFL-5uXmx#-L(LV5YD;o+CPloWh? z3!%FGC9J1L{-b1#A=tz4m_JXpcU>A>*^fqw(#}tR6;xJ&#EAK#j^{hp+}-_RPIlqd zb*lU=pcdml4?pMRP?65$BAf`xTmLL%i{6z_$%bPDD|M2iUq z*2S`WQ_?|olZ2vjJu{I61NJv_dQwt$SI4{jKhpR*EMYq~3$y8kmHQ%k9HVRF*bjN$HDDdbG)DEb!NEYuV3p@Qg8aKXjr^F-v96c zNg26Rs=&k3-zu;t6-s=O zw>vV>laSu>Mk0mAuXpprBB_0j_6(xLa*;*ePQBW9a zH-9iIAf)Q5bM%ep#l!b;aSM40_Nuya@!6UdxJS zv%HnQMn==C!v!~Fajyn;EO`HE!E&xmrgXbFKZEAML1GJ{O!!w!PKss3kDh#G-bc0O zt`i><_+0hbI`(#UM7@tc??kP{s7WSB`AQz$E6mRy7#d=DoDu1~%=<$Rp`hH#;quDr z@9WpE-@bht9DKD*H~Ibh&sGEU2`UPNLDICdPQuW0xQ)IjK73eNUjD9YX?S?}>eZ{+ z+1Y1jXFxnqDAWr=U*C)V{{9aiNHWxK6A}`VlZQ=UqWecg^i0*eXKPr4w2eW1LsNn* z0v<}bt`f@-f@qzao9jG7k%1IEIoPVNsY#adO{X643GVlf z&KWxj)S%C?Gg#D8XLF;dC1kNHtEz||2=)Hi+v`T5ZiKgiq81Smc~SK*n(finynhrE zDh}9(6G~^S_{dvAOQY62QKY{+Ve&)W-Qi)q09t5oRd!>tgx{K*{j#%}JbX#WJ1?Y~ zG5HWGh+|J9)|o}wr3i6Q4Dfspaq7)CR}xWj6sr+@0RaIHKxGUJ))y9Tl9RtY`MUv$ z1Q#GZowl5yQmV&LJP+-gmt>lkQmwb{!M=KqGm76OJ%O*5Gx6^5ScB&Qcp>%m_2FS* zd;9ySFQ-raMXxst51giwvfY{a-a0Vwh%FZ9mF#3jaWOvK;_t()sI9!mMi~Et#IoL; z_dnkyMYpxG0*0VIDtUbJl9gL;s_OSIl_@y15{^4tf{WvN=NeM-f268`}8KhQPMcPOBX~>Pam&hDJ|`{Q&hn(uqa}PKs1d0 znqI*Cvio~i*HEdH7yeZQqE(vkTL+D=ow@mED3}`r=pww}X?-Xw zE32(NLZ*2Oma8@MT>4xOfn?zoTrR?NDA}Kh@e2>!HgLWE>9XaO+6=RKQGs>xr0%)3 zlG3$@NHsOJRlHBPQqeE}|1c2|5q5x;we|L&KiC8WTkGq|zsVlzfO+uCU-Z-W!2_iio_!AMv zU18zFHd5nc2~R<8ZUVaZX=!Sf2C;E*?Bep+^7rqLj*R&1_6W&lI6?fuq*@#0f7!?5V#&;Ylp-LR}#O`aqtiV*Ix6LJdb_C(C}_5F-0I58 zT<*1N*OWhS+!Yjra&$)`k+y5ZwaS=Klzuh|2?-FA-rnMmALlz`*+)i3_{RcQaoMRJ zi4Z#5J?4LOnIEmzv_QZII2hK|tApkQZ06T&QW5z|qVxZ?*|%wd(N^VHx5_c@#~?(Q zz%$hx>65C4UTeQlN|%j2lpo6MsZOWt#DDFrCQ;yVXsRM(9h?HA_bLKUL{#+n@G#G_ zvaaszXBl^ip(i*f!CT{%rnuGYBu$K4?5dJhwri&wjuT;FVeL-$Om?0$`AEpVKE7xz zaW>zas=wb*#Dx%L=jGL~Ff7QomU_8YU_0v5KV-(6fSXZ@G+&VN9%lgpC3JxOYD)Gg zfzRaNj-8WwFd;8*V*6b8tP=-_%z%L9rC+|HpW6KLRppIF-yijo$A9{>9S|@+9@*WU z^tgC(bjXYdgD$p{P&OjMaPQvPPWb1dhbj`n(BXY{vXtq`q_J1l_&7Nq78Ui>7<2)x zsx<&^_O7+;`Sau!^Yeo%$rM7Wkt@f|T32dcn+)38te!Vr)W@b7XXJLg@48lNpwI}u zo#v^DllsW`u>tG4gCnWC+uwKE+N|p>SR|H~?KN+Xk7^yp<^$LA8ya3UN_qvODO_LW zi2oM!b+eGe;ORaw8wZfF@HgUji2r`B47K1Dk$v5kxcOT+5O(2GVOZ-d8DbXNhfqnA z+#yCHenYBa2AlnioSngT!;A@ydYa8vuawQ}c|zvzzw2bb+ zmpfI$)6~?o{Uz`04F6=SFz$-084@Y!VtLV>a3(Lm&71J0sw(r-16^&V)4vleuC7!X z`IF7kX{U|;snnXR>(n87p>iL;e*OCFCt<%gef0O17XNYdUwF-oIk_FlVxw-G1`~O# z+(G@#&9e&~oCMU^G~!mruo5R{UzWz$A!Xl(xVTpLKD0Z$ygQHk^5^g|F)?vCJM%91 zKvLeopo>Kj7&%v1L{LTLGet@U)t%S^Cf+T!tb@h1ovGLsB?rs(8D5Ra; z`r4Ylo?a-$Gr6`xy$S&SkC~a!AyG2;l)|%HTaGq1wb(XRR-W=E0Kj3$yzunw10U!|z9xoDR!&ZENC^7@ z3z9YV!PZRE*8IHl`Kd>F(yLeU&z_a(a!7g|@+9?auCHfV=jt)Ix~#4irlrl)xvq(d zimtA%g3*iuDyIAD@~qG#;)xaXkx5BOH)O%-Kg?HQhWP?;H%4q(T0%-OH{9xjy*=6> zIr>N7)rN*%+mwd*-^Z5l*ujwU-urz+Hm|bs7D0exls^#m<;BI7G@g9GQ( zfiOfxsaaY5-k7L9IX>>}>;%^KUGm2{f7vB7JC6ScHFKGWv&J&pj{gCl!`GamGGJ8`U#Fm@oSYIEu5SEvjY5vo z;!d;DhK5tKv*{|#t*90+NnbGGo;`a8Fw@i11NsF9J5^OxosI|l``~IxfN3D;%|atrVd;a1sLS^aGC zmD-f%<8UPyDnUo2pD1V`@86tXgRAG@Kn;fV)2E>09_i{@+1P{;vaz!A2nZO~IAw%{ zgfujGJ2(_~R#T9ZgCVM#Ch6T0fQg+kJ3Bi)ZRG0uf%(I2y3gQyzkg2*BysmwpK-n0 zrHbO;$i!vi`o9{{zZ;F0yh#6HLo++cF0@WfNr;Gebba6?uey@*F*y_0k1KG^;Xj9i zmo%v%XLL&EKP_m4g37N*q$^8cCrt5n`=ru-gCWfM#r=ZbmrDl zU`_`XBE;x(gST(f&(PU8z zV?jX}0klt^JP{Wchj9doJu`>r%i_Pg%=-WCGQUyXxX8-N0{R;l8~boi4sn~nOb4lL zgd^W(Sur#?$VhbUd}DQeee$z)Ol)jyW#xXA{e)9LuC|+-VB>AHf}$eOm4Jk@*tPZb zAc~KVjuH|Rd%=+eoPl10kB<*h2t0pA0_tJ=uMjXMCX2SPTO1_pQc^Pzie~>SV6*~i z!i)$Q29wYeLqn>6p>TMUiV}|f6B9{q-_9;Bnm>J7W;l|7-=P_ zfC)?~9XJ6NUvhG?ii!%1E;nbIqA1|T0VAz3D6XybfGMYu*ziI})WOC?$C9)A`p>71 zju-6|j{T>8c_+q8{2xDlWMgNqcAV)o;rY_ga4U7N`@V-Swdiw2kETa$?d>o*1^3bI z@A}wQ(}ko5Coe+t=KlOkyxlr24bp2h&Pxxx#N`RU!Pw|FZhI{IW9)sI*XEn=<>YMxG1XjTh&hp>pLgHzNt(Kbg5`geH@d)85{mQ(8*sKE!Ano!+CU z)$7XWlk(;kH8l)~P7b#hfG?(qx~|e(9Ademz+?u^43UPx^$+jtw@!In>>7qPrkbwwbq z_+P#YaF>V2#M;_pWsqr-ix4}KMkvCa7?9QOmtrInqmr_ zWIEK5wh`|>_ZZCTo?Wd)=bclx&|!RNGY{29D0}zrU7}EP^UJ(okBb&~2xrxuDP$HD zT*vwiwToLz57W(fyY_`sJMcyVTS_Y`3i9$G2Vs?!0^Wr5)(4wYP%-P9n_O&cgQKIl z?S9eEFfJ`zmCU~~JBfgn`+s!L5%JI4w_Hj= zobT-HG&f5J5ngT)W`xk+k-f>N-d>mhK?wW3G82*i*wfw%aq8l%RZ*yI$+V_t3+*uQ zWEc;+w^XQ@_(KlN-s%~jla@d%CMG63K`}PAu)be3;xE)K+&DGHFZhSjm+yX@!!W@o z!_S|E7Ze_-s62OadL16VuzLgw4_HXO+XkY=PfR z4+Ih)(n4(Zgeg^Zb#;Ll^+{cTlcEN&3X>cgtbg;$o$`3uHDY+$|C?7X310b=EZEEd zrpbTz%Fhlk5So2KhPmla2~FkXFk(=+*x2dZlbK@}8fnqOS@1|Nz;O1*#V}IkGkA2Zg^>dL>_E+(A<}ox3<3d_LcC8G#7om!Smxf{Qz3Y z^FuSx_O5Fq5BCfZ2$P`T$4DTLWDkJse&!Q0x3f!5P4zk6TY2h@4gy=$;zjLiu9(nCODB!159YVHK94`Pdf?(fs4eum5@h<)2dgpG)mupm`EH*d(!xn!>9(2qk${ Kxnfz9fd2q?)-7!S literal 12220 zcma)i2RN2*|M#sF$`;wOB4lqOo662!AtSr&?ChN+I~5^&?=6(Q_loQlve)~)f6s3` z|L1-F@9`dW+}yaY>pIW#J3iwZtfU}=b&d2I0)fDila*9KAW);=dkOTb@XB)V)*rrH zHF_u`iMT-i`%s$^jX>N&$VrMlc1hZpa(#S5<5=|EnXmU%8J4*u%9y;a^nIV;Omw4P zjMq-DrqU?mg&QxXUb3(=SWJwfVmXiFi0D%l$|r_fB#ba@h365fByCpJ{Aq$KW}3k7G^45EL^KQUS+oaD*jE!_V;q1W}%UPS@W$w zuP&Zo{(}CECQEA+txO5tb!ywvurN&B$`?`-hJWAl8c!wu7qJHq9>}zc!8KaLNXD`M ze!^!&UBUm~&ts0ea(CzFcY%ulM`bzmEHr1Y~D3 z6S3+B`Cq?jA#|g^F;BPhQlVzf20MCRMLd_8g^-_mlq_9^`%w`rMsgk=%Gc*InuSo9 zx`6v(L74>njD>}T{pD|S>%cxHhw}$PFG6;7Xnkc_Sy?r!9PYgG_2nrP=$9)otv7x8 zw8Y?kn(E1FcD~)uZ+O;$VnMBrLt<$iv23)rZrz8i`1Jhy_wRbVY=RDLXVm0}fg3DIEbPMWdAco==iU}UQBYVYmakvSZZpY0S>qbb>~{S7j>z#c zZCqU32d|6sI6hm-_o7~`#T$ETBgUtP+sjkce5RdoK8?O;_6uZuHmH$p5}uwSh}jVX zFaM7psVyum3G=*`d#Mi(553#weR`IfTU)Q<;o)&IEYeDcHB>pSA@3C=Ny9H7@T33p zLyOq#0sS2gDQRh=-Vb7voIClUAtAH#^OvJ!{S2D}ek}K;a-Jw?C3kITsBPT0zx8)~ zPN^oMMPXA2qMDhRt&bI>g>h^;rGNNv>*vp(vr8#n(uRiA0hlD0yu7?*KdabG`T3zr zN=wguk7hu>cCBf$(!P;c!pVuZsku2SE-uKd=RGwO(=|CcxyhGYX5ErnS|prYT+h#r z9fMkoI+KMoZs%>)Ur-vjZ(q@`aq-!zJHf83tYl`?E} zkXpq#@@#f~%CWa9sjB)Kw?!Dv)Om1npxoEhCFixB#tfEx$mpyxp&vEUvECys*iks&&_CiuEhmTlv30a^WMFC=%|FY<#c%EQc4(Bvh+AkpnacJPq-`xXR*Z9&?Q+=Tl(9qGLwnb9K-Z`0=IS<&L zZUo5ljsURC0PW|c5_4A`1ucohGQJtKe zg2KYAwnZ!=ik$u~HL?c-tiG~1l)?x^Twz0<5Hd6sQ6{I~mw$Gm3A&8ER zy$MUR`_XhIjPf3-YWkzbqunKCEv;Z?jXZ7=$u|a~^z>I06cli;`Oj{&&$-R!eekZJ|)qm z*?)wW-H$bcXvs5zkdTmDF%R%4D7v~n4t_9vk}l@yS=UKxp2)0GUaQR+ z|Fgm8^7hWcLt&5O$LV!fR|oIZ8w^>a{oNHDL`g{`IeBtOIJw46N!(;7~Xk%l;$i~)oes)rs9Z^$LgG)#_^plCs70Z!~lvMl{ z?k!r{%YA))^6x@JLnU6m6l7vzDzKj5m8HW!JUPi`v9)%)lc+h--Hi=t*8&wrSw-a) z#CeWh^*bH)WWj}l?5d6XK~)eI37tbyL7WbqC2ST3{VM3~q6t^G9$~L^FmYChxz#g8rUo$6wT@-|br{ zym-OM#LR4HW`;&ZMTL6h%J;X~S*o7(SrgcQwQ2N~fViZeKcA-0T7P<#no2uS@8y-< zfe|m_A($xQQB~G#Uiz+;3KzElVJDg@9c~oHp{}glC@vup|M@dL7dQ7))eHrbD_5>e zzKn>7uxbv#>Kqt|-rJl?tUZ`^TZi(i>uP1iQe0MMde3eDDJ*QgHJnUW>-lqz>zJ5N z&yM$uZ{NPn!pIl|zkXyou{NA*Oi4-ki19|z%0NajTqBZsroiy><%XS|9b)4!lc!JF zqh!BYSXkW1OL_bDYq~;mJA$1uvMnb!cWkjMG5#@A%oqEO@zTz&u5jdIgp&)r(W`M$ z-gx0S4yA>y{`3vRIE9 zWU7mT>+V!ORE$RydbOff&raV)dkxA7j0xDk;b=t^z}A(lT%iJgq-JW_CN;p$`oTdIFpDh$*J%n%C*z>oRqqrUKe1O zCg@X@)^08?1$R`_3uGcG3!9q67gtukr$35siV+eNEJC?_wcueaYvK5~_WtRSee2Th z81#M;HJ-hN|G_9@gR=e)rCgV286|$T4?i7T$U2pQg zo|BUk2JM&=4&c3rN0xe};08Tabe4jqT4$D^q1wj!(o);x75!Hkx>yRgvn zIX`VjW9Q%ogprF@UJuNN%8`HIkF)=Y55)u++ zZU;7-_7PN~?>9yZeRb6Pj(3cVjkWIIhgDmSIkUh`8c z-9_#o;$3v~Kvva4Wc=`^hNHvYxe|e|?Az!)Mux=vYFY>nQprzAIWhuc?o$-W(SQ_P z$Gmrnj;e$N*?2xzp7wrAl12U2+4(g|z+PKV0sUwmBVciH5xNNc@9paob9EKCcI{fl z!lOrzDrT@SF%g4`r#8mMzG-Q6Il7hjNW59_1jS~m>Iwokv<1+Ge`zUCxlOa=Z`d%m zp8kH7+qc=+*pM&;4iAbEH^juN-KCz?q9S~aJl$uU840JyckbM=d-39x5+f3@X=)PF z;RknemX(#s>+|WSSN_qEZ>tRkR|;f}SAO__fR0~KTs$B63`qEOVq$1Q0x8`4V^tNY%9k5(Aa>5qZExrwDm{LTTBsS;+pFZ_=GHto zSTbf^RayD5riL7f!_v9s{KA5NW+r2dqLWqTL~k$dB_9L{2??|vn<8jz) zC(6WVq8esq3`|@tCzv@o-<;S6o?1E@+eBnJm6eqEMMmNfv1ocD@f?(=(Mo#;h4;c= z)TegZ9$6k(y1jWo5)#@`s^YAptT3FKw5~6JfoN$l(ax^E`^Tm@)hFfTxQDkt7;3XJ zlXTUJ+$lO)_*_*Y62$Gg^K_H5Y`WIXxHFDJR#9=pNmDyED#`~4SyrjlJTENTKPHBd z*Jcv^%j5BGWeWvKNmLhMN_>3$5{eMan>TN+PgQG77;-DCss@&nxM|k7hz8)y1g(u+ zFQHJ$&e1NtmZ6vu;Nyd$tEY#8z`(#D=6s4?Q(J3jWc2FwYg|+`v{a~*Oyx^IexT6O z(jvEUbd(r?1HbzryPr5U;+B8_iTFocY;0^hC#L{_^XNzm~c^g7k- zn!6iA@8V*Vhq{AKn_5&QX=!`5Ka!6vO!2H5q2^#3 z7-CQ#BuaQ&zpIiV>i+A4pU2*i7O&|eR4yL9)|{NC_{yUfWlq))(4@v{@+k&ym;{;J3BNGhw4&hN~n2D z2q7__4LL+m02Wz*f!7%!^rtpJ&4%XYK~kYa-*sD3nF8==rJq135Q};WzdYCsmk7i* z{2GL(S#CoCzz8i$7L|d4LAT05?sggEv+@5R=8+e=9W&kPK(h)8*hfc48z5{`+;=ea z>)glEupAs6Ih@utYc9@DD%=iO59%O=A#D!bMXao>aPja^T8TC4fW*NEKWOCZBOldf zy5@U~nz}j-3kxQcVRlZ=SMZ^c_d7*JMFpl^q?%e~B! z^07H!`kc?RC5FzGhn?ETO@?!{DxS|@UF=E00X!B?TE6IF9(r<+^5kTn%jM$CYqlAu zzV)Mo#>Lh?Pe4LK6|Z$7ZvTs(lzK^{Il@QDq~V3e_4gfqN4os_aO3`&mzJYLiDwiW zwQUTat;O?AU7~la@_woF(m9$@eh*_`+=}5G9DdNZ>=20CFSa@3^{PiyG#HQeJi^=C z_WAE+#~Sw|(lC_LQoSV`3~^c2an4Q0tsQ#b?QzM0J{E` zBqumBvJL39p@~ULZEQk9NL(DTuLcMi=a2W+_@B?AMo``x|3qAO zaqi~6-Ez}qd+v&9SHhJKo=TRxi(Ri}>Cn;98{XbgRZ>xD%8h>g+8YuEc`-3Du{a^; zyv_y%W8h^iU5R|pfk+9v{6YW+sIdDX9=!lUNfeYrKp%#a70)M67!=>58e{VC@bEjW z6Ypk>s$b0xuc%&H^qvs%FtsjJlIeq0b#1s-<3UOOuP71RR!elaiAQ0kyKXzK)9esP5rCH~*2I z?#;}07oVtMXB@iAOB*pOD^d^>P!O44lx<(}iw7;fjn$x~Um!K@i3mg`^@^TqydC_ti@E42S$)Ob${9zPAMEM5wt9}k=#E+e1{(Z0}j`( zefd!_MdWbS7sqaQQ63tV#0K#@R=p4oXowvBTGEsK4GEB3i0*2m zB7pxR6&4%>G$jsRt5I(Np3Re!x~4+@{{H-)r~FVdDzYm`%ldBd@)8vm7EZ2>6`Reo zc^y5B<{j?qYy1{Pi-(W@3NAjM8Y%MX{d-E(ODND-e(&x5SY2(`bEJ)ueGRb*?dW-m z7qBIeU!(zVLsP2kAtEOa^SU^hnLMjrbvZrcfb2=L&L)+)amLmFfgPTA72njF! z-aM1e=5UaTkB_%zV%S*fN)#j}#*|j-W!0_tMRwq+MGxO6&37|kP@L457$Zr4PJ76*^PyTiQFl)sKGvVM1Qsh8zz+q z`Ni=_eJ?OqkgOy$G;R(L4^I|hT}Ck~)cn!85PFj>ptzXJ$jAsu*OymUd0k74<}vDF zPy33^6o0P{JzT6^UA4%gbTld`DY3#2&CRur9>EXxbF(%wYC4-{f6}jHYYZe8P`OWX zvR-u2RYOC=px|I1z>s2MC{XeuuUsdxi?;uqmNwhLRxb(J>C8MbT4;=d;N|6&eej^E zJ%(9XTl*Rs8X8iD?dywj<4!$oP?yl%-`_{}9C8YZsMoI%%*@Q4Ndg4LW<9O&X*H2| zb_bhNfbJnRIk%uQ(DL(Zu2gxip6#vL*k(wJC{`O(5l#H0$6+S)`e z!X?Y^;yOFUlkQCv>Dcq+MvD->%e+5B-!)Ob#TgcsJ{xNgQgJX?n_FF0hMnSGlwT{Z zn)rSiVIA0O?YKYby7Lp`k-R)oRB@hmm6`Zq{xzHo=lO*v)#JzLh#Qw@OP5a_JKha! z5G7U}|Hc!eV;XWI)>Aj@sm`;34v3C}(*{fkAYPaPN6;WUf~Kdb=~8KFDHP|Q=ZrmF zT?_3uNO-M?rNc@6YuyfLcz6gK8ykBE1}q(|R$D)q7o-^?keZdq>FKF9xi4^`)z#J4 zv9TlT?kZTwE@*9yM@$?P!>n;Bvwn&NWE7bQ@aEYzQx%(bAv4vq=Y2SU z*mle+?$-}KgZ*$5+9rc!^xD7@gWl#t)A8ka2}%rysi}TZdL1+aEep z&Ywp7Xny!>F&x|7?J8=n zKQF~F>oKJfIAZF4U)wSDf+dEDN_l6$tnH@3qpcvNM90HlhN!6A8#)*(S+9KCjLzNp ztR~9H*z}3v)YlHr4wxVpGHd3(2s;ia6IND+!?eSrxGuV?z4z zLnnefK^ZidqKkO|s0!WZzBkxPk}@*(Ye_=R*ia88Y;0Khmir3;snSCr;6h1UU$=U! zruJjJ)biKCLEGAhylo1ph&z9o)z~Z0N|5(3DkKIQ=9=gT7(j^orU(oKh>*{hx+%a7 zkTIEnn%O?CpjM6W{_^FH%}iZ5NGYYOmdrjMu&>{&n*Y7BAggHL+pEN;slAVafK4rN zJxMd6p`mG*-xi#j=hXw9*?DW4*VYU?sz3St-z0}|_lZwAg>h*d|F$B;jL7EnRM_(J zeHRzZt0_Icd3g$ z%eK-;5BNYy^Yit+j7`qpo974~l=*t3gZy6glv*U^-ctTjPd=yt*?6R@SM2SL5#I0h zGb&6!O7MtGlU<~J9-0yO@ZGq$_RcX&G=ri|`7!Czc(z9VjWXkTdkyRU)&p&`z7@A| zP`%Lo#rgU98=!B3Xu)*xVHdo|l%BwhjEwQi>Io4jnJI2&fOCO{H-mp>2Ph|AXGNQa zg98sLUL5x`e8|V=U{blfeEDJlI^l)$PMWWBsx%U8qv24ZDtXZl4Cm@V%A$keL&&WD zWW40rWEF^mNSF%BSy*^DvQ>i;V{cDJPe=FU+iU7y`}+aG!5HG=;>d%i1j&Pp4IT=V za3pX7(VSWLwulHND9ZBFH_=h!*bOhu&Cd^6kU?5jmZ=W0A_^>qn36<1NUvVKIw`E2 zdyi6kb;|iV+CXU7iV{>ee>sHfkK z`o0_32(e!dnsG$Gwo!R?*4i90)bl!)ZIvpDp51_Ux%l2;#^z61c!PBT_ALj{5X+rA za+VzYASnVFvds1D-+PoIk}RJhqPN0XTI#qSYp_|o(1F7tR6W!==pcaPS)Ru$`as}> z9p|=K>P~kanwpu7tXsAcpZo}=yC0IUzI~Y*ecXw70$%sfv+iTT{ zt{aE7w6=1B>@y6=00O(!X0oC&M(y$A0uWqGpFR7IiG?*b_(fGqOw1>1YT#Ms1l8it z8^xKK1M59r=V-_^1IH~cwNw?nCB9H4;WhpKu?G%gd*s!Pn3*u1Ggj)NKQ!ad9b$Z= z?+^$a6XYyFjm!2M3Sk%jqmv6ZE-syJRsvw(G z8k>L}%-I$qSXpS;d=;rJBX2qFwsp^Ge_hMpai-QSHdntk0gIgfwH8PMj%&k(r>Bbt z5)VZ~v(5{7Du;pki9V(BI^{49D}>Vi4vR`eH(gjrC~;+Z+0Ht3RVX!g>C38n{+HEV zwTKlU!1ug9);hJq|8k@2xTOqqKaJT zh?Tg7`{er@dinP|neD)EmDSY)Iy)cf)_YPwO8|nl&<=uJC`8m8oVm-dSri~b&%p~s zG=Ne-`|Bj1K7Fd-{BXV!DUH!xqE1&smjHYIW`PHHD!ykbQnkC;T&W?j2*PqEih)Hr`V!6?<_Y$^6+y!>& z)n=A*=4JQ15Q@;x3uG4rLl-5o%{Mgk`azwbhxC7SorkhlJT=s6P*707g_41Ws*uFL ztv-XDk=+rPv4p!m%0Z^3l|m~bf<8UHZ@Z9d6M~A0+5lQ3*uDI&J9MD(nzRpn5C6ZM z^-5QANNqd*sD(m_93;ji<`>$D_PIJTg6p*z_ElRR;ffkH; zqg)=v5k377b4=D7Bb)ZQsy{|J#9{A{%qC9Uq?bGMEsmUwJ^c(A$##b7ghA{GGcOEiU>fL@7x4$6*24*GS0(9T-C+ zBhA9@Z2hZ7@PWsU@&trGT~}@GaUC~$6|-T=ZDzrGi<&JmsziuB`H0XI&*NY>#i_~B zIu9X@b5Osoddtz_w-OtJ%wdesgvOGcnQ6XjCMPey(6001JUb{$*D_~2MmCJ23|w4Z zvu^TM&9h`#ND&httqbij9%klq!fHbY34$paLv@yin81)&I5|~vD}KhjeamiOU~ttt z*Py;mYOSmzMiy$l{N|q3Vc)R1o1-HSnAA7AO9!H02195n^$?wUb*$En@2e39&}69p z)2>St!k(uUV{&r~!7WAr#oC2q3Jg7YLG5|<>eBM^azl5w!jJ!AddOw3S@!;tY-}an zT(EHo`3RFsudZAl41sp=U&aL*s1!4}`S_M@Qw;uX)VwXBq)yh6S>mIfl9KS+{k@`k zczirp+#@2Pr*}qBGq}M8h{vStnWbg6`nkCvn_3HVlx!~$SeU4>TjSQ?TX}z@EBJS} z&=$AWW?!ldOcZdMgh$#t+NW+8nm&1g_;9{ugg|mdqE=Uj&Ye7y-eo+pxLfj3-%CXhK{ z#(nx@5!i%HcX(X!hkZ~vWpva(|T!9Ams=TedTnUcYD ztUvHLg^Gj(!_Cd@Q4&91{l$58zsc5Abs!SE&NlcUr8S6vsQCC`IIy{BMG>Elg(GsqdStP;Ks<2;*Xy2F^A4ihXhwoU#l$G%y z=)s2n0RsoBs;d7hcanspfdd2BLXC?K>YdN>vU&VQVnV_kAYxsHv@8)v7)4T2@&+Lq zWC=XPuHPwy6^qoVM@ zmPVHJc~Cel4oDz~!0C~ZlDbl6J#jTy5;=Sov;C}UMvX8(Ihmq0f+F zN1D}6)(;b798_{QL~oFQ2`wE-84kvce_Kd;PeuR^Rm5GLvJV9XxI)gGewr-mClB1z z9`8lwe&KM(-@vaSc8jdAF%?w8bO8cLYg*9Fl-*U@Iyr#y385 z1!y4+TLf}$NKz8{>DiW-?F*iFx52e1a!i-8bRL~YV66NEl0Z0(&5VoA4nsFz+uE{A zlmC+f$;!&kw!`R$p{;GCT=eb6;b9^^n@R7C3rnW30#6WUh9O;GL2kq ze+bIvh6V)4G8RK4NgzUO;!pn@2SUUYB0Jl+Z_sF`kxCyJme^Dxm>-qUKX`s>K!O68 zDuLMmbPNnJD8(;-FMm`g!~bNBb<}sbv^iD1kuc*|a~J54lA4-7WH~}9zelsg9B(+^ z0EdfL#mOU8O9 znyybWi6XW5p0>_Fd!S=PLa4=QfU@$Z%9H*ek~ye-`mGDZSn7{0N_$nUU>4K58fbqM(Li2t0TLuA&! zT!O*E%*@ONh@*m+dlsDuJP#)f9bf)Wgt@&jQ|+wyL*g0wRCl@>R;QMfiX#IH?;D$fwyWr9^f^I@^`%wez zUnzxp#t4uXNhv8q0I%}52XAjY)R;i2=>l>J(_fc?vO+6F&W3{0GP_A8FDKU+Yv36S zG6|R__y~3|kq||Z!>o7j`h$!BpPF4>X59TI?g|nNSeCZD=>S1ae-9`kQ%OZt^~db2 zH)!gB0nLx+3I3P|`}7WAv~}Qp+3MwqayFR7Oxs|uN&=1b^TO}sK2LMpF9hbN<{L;Y z?r=WJ`#*#@Hevt)&^*O~y#nC@;~NBgyn}B|;Ol;}ovE{E0j2uh`grMe;4{!B@H+o9jdssLNQa?8urak%X!W`GKjTgb%Ma-8hJ=SNEK02czZ4c0uBZ$o6~+H` zFyj>nlr&vFF#u-!5Sd;j`(Ed}RA3L!LpOHWsy#>$);^)SI79V>bWYK)78$la5m4Qt^c)E$R{qj zf*h~rmZpiCg+bqOY+u}P^NO9~>{R4b;0o)^T|Y=PPiSg`PQ=#YOZk3`!@8aWxA3VY zjX60vm*qVD95|6W0xQ@&AWQc-5&M~U{$3d - + diff --git a/tensorwrapper_cxx_api/inherit_graph_20.md5 b/tensorwrapper_cxx_api/inherit_graph_20.md5 index 4f369fac..ed7c449a 100644 --- a/tensorwrapper_cxx_api/inherit_graph_20.md5 +++ b/tensorwrapper_cxx_api/inherit_graph_20.md5 @@ -1 +1 @@ -8a2f1079f999f390a4e820b57be3b03d \ No newline at end of file +7d5b1bd39135c93e0c0206de12d8a751 \ No newline at end of file diff --git a/tensorwrapper_cxx_api/inherit_graph_20.png b/tensorwrapper_cxx_api/inherit_graph_20.png index 530b15fe29c15ded5235e3f65b61ba39bdb39889..37d106bb5b8c8023b68ae3ceaae377ea39a7a134 100644 GIT binary patch literal 3508 zcmai%c|26@`^QI!GKCh#R*Zd1wv7FWK_elAWXlqfB}=0j^AH((BWw2TMwUlpnV6oZ zkzGm{*@v%vUt==*-hKc0Eq{H_oVm|yUavFfzVGY$T<_0yV$DsB&Yb2y4S_(;pl%>7 zz;y_G_1RB?kt6Jn32-^-a?=P2`Sttry0t6?-1!iNylxeevo_&lZgmI7w)xAKi@oQ> z#Ten9h}Vh_TRNeSDDeoy8DX9iO!p&BTin(VE@9gL$1~O9Y6s_OrF1v;nU2zd=Tgv0 z7A0@PHrA&oMe(P%16cBO5aahVaLqlAj@lpi9*ko@H)B5s;^yCG?1aa}utO>AhFagw zJHI-_i(jO$C;ZRQi)8$P!)c%9;P7y{0##m+x^UXf-JK|y?O(RMx{ADWXQ=*G-2M3q zJpSY$m1>62p_!`A?=F3_)DXdEuFTBLs9f^MC&CP!<^Io*XFfSOd9dB1;DO=aId@YA z&;3dmHMg)3-LL!0KE_h9H>YFW3MzWFC`Cp@gel{S!^hHF*}~^yxwyC>5SXA~+y2@Z zZD!_#fPg@y!+Rbz-|^}8r&z4(kM#-LR*Y(~g><_7J$#)uOY#Esuin- zgmb4Fi$kVoKE?ml(9piQ`B(c^nQ89F(Rbb==VFC<;%UpvaYsj?2{l<;`}>Bbre`A} zB81b7X)7!79K2UHeHYFv?5VGfHFB=6uiIbVqmo?MAvQIRL;PW`)HieFeoUs+OgHRw6xU9#>PlrU*F2f$?W_0@8iw-dU{fDcm(PFdty;hq@KRM zH2CHHV|yFU#>PhSr=2*%$!Y25rx5$eh4gs#BsVuJ3rkXTG@Fn%CN(BzduQk21S#0A zgP^9RWs;bf_^Bb?;gOFs+}hfban(7PW=_+|%geK$S@v2G zP{0N9o7q4+K9|WKw^wKMW9FHCP^#kj#L>}F2*lLXlq(hq&X8qd*_Wv)!v6k~>ipJL z?H?Pg96S&R9*>^}dEed+X!$XT-Q3xs%=cw){oMG#9MYopwXKaMpgBiCb6?)f!$T5n zB9TJum6nr(PKEu__VV(2Z7#*d&HZe7*$aC1Y$2I^>HhuuGK`^)d>tG=nM_W)AqFNM zA>%Yb46Nu)&CRz$w8?~qC*&=Q{FEys7lh%xqeKUVsl8sC2(dKVN(?_QFK^5zm+|I6 zw%r5YPMm>(!Ip-HmDL3@WB=X}sI%Wy5fK@=HT@4WLQ~TV>hU|a$pe-#C2f~gH^71Z;Nl464ICb0l zvegtdG~x;i;p@sHuWEmpxPn6AQE;qm%=K#-q!tqzV9Tznn5d@Xz)WG(JI}9hdyr)g zl8FR`6ugp@oE(v!&Z8Bw3HfkLmn|$R+S;V)w=QUc=>q}+zKo8>84)hscXML_dIrml z%FY%5TX^~M<+E%xzrwn@^J5J@`XM0*9(lXsy_{#yo-J-{7~Q?ghqeK*qLk(TsX@C^ z;=9^fRaLdM`^~JVpnwU)rx zfq|8_wI?8dJ?P`#{qbYvmQ1t#3p1TVme|KwuzkaWN)E z(rjj><^w)ASE%NR>r6>38D_eNiE`}EDLfYOR^pU-)p2>er@LEXLWkPhxM$K{uT$>) zN|NtClpXGNYQNgo*Jt>yUv6W=c#afFEg`VT$3U}>z(YLEI-}+r} z;UTI5qzGwbM46nt1UAOb$=PA1%TN*WtNIr9i_yVobNZGM8%vuKQd3b8R#i>IYUjEu z)+v6*SN}@0ar~z}Q9!jJ3Xh-3MNcwaRs3AnRWEi2iDUth;TI72`t|Fx%1XJ_u|_|Q zNjpgpi?saxj!+FW%r<<3k&`EM#jdc!BM}TUG?}H5`)pGsHpJYnAA?2 zrB*xW`}oK=_)ci(D=UZ7mG`@ja*V0IOZOUmxgns`1~evndg8aYx2056QY$MfJ(mVb zb|=tNkJo^ZSi%9^yXFGui$w&hCzb@Cbtn`nCMzquy|q<9B573PoSnlPe8vowG7~DR zs-%^al1InJBzr|AB=8N7z83~e=Hv*TK6OeY7O6KkH-}l6+1M}>7Z*n&FI>KC25C|V z3k!o|TGa1c$w-NcVr4yfa-ig9hD!TfcbaT{;DV`LONb(vzPqbSq{M<)t1yM|c<{i& z*;)9mon3NSnWUHfuCA_FfXI@P65^`Z#?n$jTO0CiU7aWviyduxEIQGO&9Hgj zu(v{*6crT}OX;$@hB(jd?%|Q5SMUYq0iU2YRaC^KUvcQ(>+9(eg#8KW zHsO-?0Kev~(x41dbuqt?kT@qNCuVQRhDavo0mexr(e0Idrgt`WR^;rqzQ7vQSR zinFu53;Y5WbP6?Lz1%+_;3JI^{djFu^*3NqC{#>*JmBBa-+P%=?(8YjOkWM0P=?p9 zGXd^=9Uq4R7`N;V-z$If#*#=H!kguEY#6AhsYL?`fHvgLi^NY3PMK$>lmu@DIrteF z86gb~3!9o?5OaI`1hvT!W*#0M{{By30d{oPgok0pSJI4uSecsbt1bSl>NCj@F)3wn z)7pCr`vZ+?{}{#bGBY!_v{Yhncvw#+4GtP6UtizOo}O6;f}3ZK>Q|cwlrpH%H~QfX zGczLt1JJxtI;EkhdHeS5f-PJ^Vx0uN`_Vxv zt-L0`Cd27ZzJBc=f-WvD!0`SGJq)PA9ooCP8izqu=g=|$g)N8k*-}zceOa zMR8zY;LGrE`-&oo?ET1OiBNzn-tWTz{?5$KKE-kB-V4EEMKv`A1g<@LwM4vXmQ?$J zUU1ACFmg>C&kg&H#gP^%hO;|+@1u|Z={nP`l-*>WbSl>|->i@>^z%4$Lw9bB)H3^h zU^KMrPFE5XUHOh}El#ZhGia-Jct1Te6EQewg-}v{E?~TEc;= z1_cMxHfa=3AD^hkMm5k?0)c21oJEz_CNK@6N8V2T^gy^iNhjQ%67h=(J3fpqEG%S) z%+1f6j*UnP{cH`h?0l6wm!hhq6aiY{-+e9+#^T!Ar}3GIUT-h zi`PxJIw3H2myF(U1f6G5WhM0D#fx@oANecl>n{M`Mg-179WhHK4+VNQJCeQPz*M{# zw%upUY!BSzD3@jOcX6Bsx|KE4N@7^1ayR9$4E5!>zkbt29 z))YM7feXdW3GRadhVJ0ONw}$xg$|F-g66X45X6&ch}AI<%3C564a}$DOlsh;FVCGK`kPn1X{cwmS*=P=-719)L`Y$IikQ`(xh1_P)#DNzvc;T8aFbdIC0w7msM3$3 zdkUu%U;dgo=o=iaycc??K65^h^g6t6yESt2%2%zgT0&EyUnjNt6QyA=i9~9?)WAwo zBuzpoYgE#LL*z1@*Yu-Ics z(pqaa&NXqP^tLvfiHTEup+tlNGM%@=qU!JDh$n8N>13y?DS~(J-YqHnbOuB_78w!q zPS=$b{3{;l1P5HZ}@Zuaf_onCPO@qtw*Y=GVXWTRZ!V)y5YU7aN{GX+|O; zk8^Ua{cLN)uwUQU*uY{-Ov?=r&u|V7`Syq1-C#{41jO)@?s8EZtM`Hn2nv$=tZ=yN zCMG6Fi_6N&`fo1V(E?<*2Y)9rlTM+6*IZhXmnjtKoCN*OkOwoW8V*50n)~bh+MMY7 z-=}qQRGnip>g}oFw=^^~tb0*!TyJL?RJFLPAo~(k1w6`)6eGsfp&$%#e@}gL3o1 zrU(CQQHqO;6;xH9SzBAbDld;GI6EJ`HE?lpJufShpLiFTytBJo-rP*aB4Ev-n@MqT z2n52TJ59lV>$?*I0pb^>rHMuzD3lG|Na9u!@PS3hmGPE4@NcWY{D0)%>yeYdx_MP+2}%&B}M z_;`EELBoTCZ4Cna{3%#O;n)6rkpbN6pNpU9g(4NBQ zQ!lu>x~64hlzuV8;R;6F$7+dtJg&VLP!6SpL58JZ45Q*{%Lb{#nRLyJAdl!~u}WQg zGGH(hA0Oq$#>Rn9Z`=ixO@%rb2RD~L!QpT=XmWCLT2oM(N$cp~B$LTOyFZnt`hmU< z$7wV+=)=$uhqku1xrGH`e`kZ6kB{D+uDH7RNgdLyyIfyipVH;>-sk#t$Oo>6OeeMf zn%M&|3jEddfNy=SPnSSIcu&5MUtab;mu}SgYf_MniEww@lo-JeTQxw-JtTe+np z4nx$sI*D6t29jHehSL#*d`&;Z3+)J&ye={warW%-?Ck8I z{T*~m*lw(T@@bty+%yn}9J8XTsvT?vhsQr@X}QMF&tFhh#uXJ6^?h@bxwpLz?D9K6 zThQ1j336;;V9?5l7ZFI36cdYKv2N#G2~MRZ^nAIuI9BJ$xNDdBxe?@9)vZ_Jl{pgN zNSY4>+xn~VK9`-H-Dq>@#bFX!lsCq3H+in&?c1yf{Lod63|+HTZo6tZ%-j$buTFPy zbuBC@Ikven^>OFbps*!&5w7uDYq}zSdU`rCE{+>&jTezWAu1Xj9epe)DCms5JQqM# z)6j5H%iiA~Wov7jl9B@9@%SSeLCGahBp}?~yT>V(iB@miWKk$lph``@zoQ3KmzI`b z00+gHNto-+h9Zyioh*3sW~gM;RZS99vy>Mv1mm%f>pVXa28wR{vQuT>ER}oFCpI%v z9Jo8CCsUa|F=3ao@4og@$V>}$5+o+)a=zRSiUZ<}VF$7SW!GB%^$nF7&U~ln>1oGH z!E3WZz_~Tb$JQG{;1Z zq@*NYKR=z|;Kmy=#!s9G4JYp8U)xvM^;j=!=im=J@mxO0FR=MI5)1k`lLozzriK-m$T<@IXs`HWiAe<8S(= z;s7rBa$r$K1s`Z{U0q$ky#Pmec=$Oal6`-LD>d_iT>>*%#<@K~4E%$^U?JmB!Mk_x z;Naja6jAty{k*)yz?I3>b=Hfka6p%yu`z#MUY_sH4`MI)VpIQ{4sgz|!aSw7$qD~_ ztUhcr-oJQ+3WR2d6;@XZePxm9t20a!D=QvIGi(P1%Dvy>sOkxrIWm1x1M2MTYz1+B zcYk`J&}i9n=eT)eFrMSh@83(0H~26!l^tsQ7fd1D%Qfxo?OR)`zkqI5^Kkp#fr~Rg zjqwMq<9GOWky;ot$3GyTsGtBMP%J&)je`mWI#g#@7p?uNcwde~mBkEDzvjJJ?!CRe zGtUfgrlyZ~c0%4i+)iC-aO;!8>glz0bj14f^z_gH%b(}x<0>o9*Vfg2-rwDH>pN_q zGrZ+MJq0Y;+uH|ypJuyY`!g(j?943}AkZ6peFSS@SP7DNGgD7J5yWMSPGfviB-Z&8QFKk|g)6Ux z4tbHGsqTB?sznYzg%}cl{%=w-Ui_~#{xfhme!u+cX2yBRK1~V!r;e4UiH!6KP{7K| z%c-a{oHO{(Gc(RO>MsE}$waDXeN=bN>HnX74%zRAe*57YD-r@GHOTPBZR{Ty$H)Hy Dm6*Tp diff --git a/tensorwrapper_cxx_api/inherit_graph_21.map b/tensorwrapper_cxx_api/inherit_graph_21.map index 65ef1606..d4411fd7 100644 --- a/tensorwrapper_cxx_api/inherit_graph_21.map +++ b/tensorwrapper_cxx_api/inherit_graph_21.map @@ -1,3 +1,3 @@ - + diff --git a/tensorwrapper_cxx_api/inherit_graph_21.md5 b/tensorwrapper_cxx_api/inherit_graph_21.md5 index 343cbe89..6b6a58dc 100644 --- a/tensorwrapper_cxx_api/inherit_graph_21.md5 +++ b/tensorwrapper_cxx_api/inherit_graph_21.md5 @@ -1 +1 @@ -550cd1768454c61c25351db45ab499bf \ No newline at end of file +664b7385523813895cc31a9694a42748 \ No newline at end of file diff --git a/tensorwrapper_cxx_api/inherit_graph_21.png b/tensorwrapper_cxx_api/inherit_graph_21.png index 6d93c511b3e54fa58e91d4a8cff7f5c5c1b79e43..43aa8058a87183b0d340ec4477ccdcd582ee9d1d 100644 GIT binary patch literal 2979 zcmZ8jcT^MG*Nq4~r1vHrq=X_JiGcJjAcmp{h#*BF6bW5JFVc+>Ax7YZDuyN?U5XHT zl}?Z-H3%UB3P|~l@4xSxSuC6FomY2n1p>Gc~jY>?ZK2(oq5L z<%47+z|cOhFfjz3|Gf*^N|7KCgQJh!LKA8u zeK*bTD>)P0`W4+kz6CZPTpV>JVP#~fGqbjq3O%piAq6)-fBw8mh@EO&g+JXGXMbDX z_i^dZpFgX(Sg72tnwgn#a|iz)S2PE(Pi$;#fhUKQvy85U|Mn5sB$SnviJN5X!zJhp z$+}w#U3Qyr@(5akyhCWQcqP}VC?_dN3mTi6s)rGpmzVD=VPyAOT!SRwX{p@Mk0|53k&^7 z4=*ok3ZJ zA?oQ4kqZZ{(4J9uzZ3hVY`S^@Ks&{d58H-uzM@oUBdwY!= zBZ0&~9Ur_#m(7;vFQz*&0^W$8?O++`slArL68la-x4=;um*`ehAcBO`g|=KXxc*#*!>Fhm_K&q-gXa`G-A zpB|(u!kRVN?@{~d?6{(~)>bV0b5DF&c8LZyHd*7|zA#uKbEfbOS`al2O{X(scc1%1eJ(31mZk8I{GW({OQJ6p_`jq5zFTJ&(*=By>qPQ_IrmAr^ZD`4S>QHj5;_t5Y~xmeEO$B zzwq#oB2K8uQE(m@7>EG43Q)~b64`lQ5j`xH?G2O>j3NPBK`^lG`TC%yD8Sitl11^v z$jFF0KBF_iUJ|*z*o17}u#J)WO`#mEq5W0)Z@RgO!s`I4zk6q1HA9}SuP81yDzq7! z+a4WXYs(vcxk;K_cpd3<9uqI#*5Wf+@??D^JS?nZoe^LX07d`RAk9p?(+AIV+j0S| zFhxSm?Gj63P*YIT;>^s)>gwJ7&B>*uB~Wy2t+KyAncV&d))jv#O6PoI9IMVEtQA%b z1;ax_g*9LTp!>)Bn-~lxxJ{OmKJ>?|65=dM06#f7xjvL@An084z$hdnL|3;Xg+prO zt@hUXI{rS{E+eF5(Lo7ezKlJ;jZTwW@t_4d* zjbQa>8Wh)p%F0TI|9)=q(2g{xN+f72cbKaNM9f@x@ZbTnkk;(iTOtBQS0g{Rx4RVD z?1pK%y1F*qdj=F$N2^Kgm#Grsgo5u$<#FP5cXxNFa$y3Ed8-cQTs_w(&V8OU|3V<7 z&&3Xh#H9AO{~$CrUIWt3%gb9^Tif5?Z*6S_oVXX2l-NU|t&zVo>Qq%#p>}pS$C_^p z!`|xXtFG0;mj!tN+E5+H+amH_N;jpg4d-{&dfoO6MpYVLavKOHSK;YS*OWqa#XK zD-iz2`g*0=^%0Ck39FzWlUIL#e@c4#YQQzDNoIQhkxGwM5@`ky&s;E8L|H}U3j3u+ zKo%8bWMUQ~+Wr=UDy9RE_v%gKyLs~_wH_1-O%u}QhpeoufIx4x!u46>jj^49CxG64 zQT^NI@V&K;4&6eV*C~v$ld882H4u#&d<-2w*IcR&evfgYW%gf6V=cgKW1ExJb7Sy7V4plSXuUY+iXl&fe za^pnzEl~yj+89eYIoeC*mj4!T&9=O*vGH(w;iI~?{04fd7z?ne*ft?CvALw#|z}ad(K0aJrTz-CjtE;QN>S(a#A4|cKevjrb%7dVwT2qNf{{C0N;DMo` zB3T|4*A+g#jPGESxisgCPZpbO5I%`Gtry@P4@ot(`uFeOH#9WV)=sQB^T)lYHkn!l zjtLsRvo=mnPIh()-w#{E_YB2uSy?fENS>ZE_voChamQk@nF5-&P-qbpOjum(6HS7@ zW)ar0w66&i z^!WIA$XlcpZNErnk-1Xt(b*qz64T{ZSy>|4rd{3LI6>Z*@xLk*y1To9N}$nb3v=^e zh+r!S`)%k-t)#rXA3g)X*J5>8+D0|=hq}5i_Z8o0J}D_Ibo=vb`^&+C(y=dLb?->l zp>k++R9G{pNLNH!Mn*I0P!R(emkd@mg|sAaA}?^KqF%h1n4Rt0^-i-go0Xlq^2S0E zd3v;-kJj*S;0;=1zk{`rc9gUC^_6R~(i50=+gWM@2Kp(7l+_PEi8`B^qw@?}_HpsQ z&`4y|4F4%HHJb^sEQ&FlrO{&rV%gi>H8nNeAUk>o#yB97t1?SVrE&(fgEv?Y6o%(? z+fu795I(4sPPqO1m^Qv5HiC!v?msat3uUW(o*t>Tg(!>F-M`MC-usPd@Y6J*prGLM z=g(D_*{R%kl$4a%Q{o?W(nXAOP!Wd;ww(XJhk6s-vaOwt`8Ce-t>few3 EAL{(-dH?_b literal 1540 zcmV+f2K)JmP)x-_p~DFwWVHy3u^R&1ns1~XoI9y@p3bp z#El?flZ2m}R2pc6pcIFKh0bdVkCvW zh(J+LP|(`iN_KxaCrl>O+qZB1o)RLEEG{nU^?ItpbPbxCn(|jZh`>`>SxHmSeF8xT zc>+NPc>+NPc>+NPc>+P_I-U@TM6X}J{?nPT zg9r8X^{{QX+XJ1NM|}1~b#?X1%F3fhk1!0&&(8+{oSdArw6r89CUQ8O($dnctt}Xt zlatfc)m2hbg5!94diuwYAE7=tI4BSZ!o$Ohii!*d0~8Mq4r*&_xm<2^bo9fA508$H z$cJ=xc1k3YyLazaR#v8`r$fD~s|&+0qtOTeSXx?Qv)Qo9)cA>siPF+i48s@Asb85|rW%R!B&GB7YuRaHfXJ$v?y9Lmhhg!Xc)d*7p{ z;pd`x$JGLRP$(2LGczYA zCwjeJDwUEk)cC2XsodOL7K?>pSW8Qb*=#0FH^iOcoOp6BifP-`^h@8JU@xNyd=z`}_MfH8tJc-Ftg`PN!3& z(NJ%8@WnukMq@%kf+yYk9;xYF5kD8rSFYoU*x1;$wKZ5@KA&G+US3yM_wC!av$M11 zU3w<)y>nu-R-*r!zS@xwyEvv9WP)Z_i{hH8(fQ!8)I)*_d^nrUzH{f!;^Lx4qoIxt4GqoB%^e>fzkK=9 zY&I*EN>BRL_jtuSrk{)EE7$Qvdwcu)_wU2P!rOw+7 zJk1r0#T*VtE|*6{L})Y`oleJMu>b&*lankKD?2+oFE1}XK7Mp`)a~?;kdVT{!qCvr ztgI{mfJ`Q{TCJWuk(8A5{Q2{mni?F(TU%QzDk`X>4Gj&Qot<%UapU9T@7}$Oii+~0 z`?SZa;LoD@4E6ZB;vMrAAQTG6#>TF$-(vp!9TRc;K%PL*xw+rE|5a93SAEj|SDWAUKMzEpFq_Tf_xcbwo~Wv-@>f2H8-YrtqINL?{r?HX qub}$`f)4Tof)4Tof)4Tog3eE;;BF~-9eb<*0000 + + diff --git a/tensorwrapper_cxx_api/inherit_graph_22.md5 b/tensorwrapper_cxx_api/inherit_graph_22.md5 new file mode 100644 index 00000000..343cbe89 --- /dev/null +++ b/tensorwrapper_cxx_api/inherit_graph_22.md5 @@ -0,0 +1 @@ +550cd1768454c61c25351db45ab499bf \ No newline at end of file diff --git a/tensorwrapper_cxx_api/inherit_graph_22.png b/tensorwrapper_cxx_api/inherit_graph_22.png new file mode 100644 index 0000000000000000000000000000000000000000..6d93c511b3e54fa58e91d4a8cff7f5c5c1b79e43 GIT binary patch literal 1540 zcmV+f2K)JmP)x-_p~DFwWVHy3u^R&1ns1~XoI9y@p3bp z#El?flZ2m}R2pc6pcIFKh0bdVkCvW zh(J+LP|(`iN_KxaCrl>O+qZB1o)RLEEG{nU^?ItpbPbxCn(|jZh`>`>SxHmSeF8xT zc>+NPc>+NPc>+NPc>+P_I-U@TM6X}J{?nPT zg9r8X^{{QX+XJ1NM|}1~b#?X1%F3fhk1!0&&(8+{oSdArw6r89CUQ8O($dnctt}Xt zlatfc)m2hbg5!94diuwYAE7=tI4BSZ!o$Ohii!*d0~8Mq4r*&_xm<2^bo9fA508$H z$cJ=xc1k3YyLazaR#v8`r$fD~s|&+0qtOTeSXx?Qv)Qo9)cA>siPF+i48s@Asb85|rW%R!B&GB7YuRaHfXJ$v?y9Lmhhg!Xc)d*7p{ z;pd`x$JGLRP$(2LGczYA zCwjeJDwUEk)cC2XsodOL7K?>pSW8Qb*=#0FH^iOcoOp6BifP-`^h@8JU@xNyd=z`}_MfH8tJc-Ftg`PN!3& z(NJ%8@WnukMq@%kf+yYk9;xYF5kD8rSFYoU*x1;$wKZ5@KA&G+US3yM_wC!av$M11 zU3w<)y>nu-R-*r!zS@xwyEvv9WP)Z_i{hH8(fQ!8)I)*_d^nrUzH{f!;^Lx4qoIxt4GqoB%^e>fzkK=9 zY&I*EN>BRL_jtuSrk{)EE7$Qvdwcu)_wU2P!rOw+7 zJk1r0#T*VtE|*6{L})Y`oleJMu>b&*lankKD?2+oFE1}XK7Mp`)a~?;kdVT{!qCvr ztgI{mfJ`Q{TCJWuk(8A5{Q2{mni?F(TU%QzDk`X>4Gj&Qot<%UapU9T@7}$Oii+~0 z`?SZa;LoD@4E6ZB;vMrAAQTG6#>TF$-(vp!9TRc;K%PL*xw+rE|5a93SAEj|SDWAUKMzEpFq_Tf_xcbwo~Wv-@>f2H8-YrtqINL?{r?HX qub}$`f)4Tof)4Tof)4Tog3eE;;BF~-9eb<*0000 - + + + + diff --git a/tensorwrapper_cxx_api/inherit_graph_3.md5 b/tensorwrapper_cxx_api/inherit_graph_3.md5 index a101834b..1c3c5876 100644 --- a/tensorwrapper_cxx_api/inherit_graph_3.md5 +++ b/tensorwrapper_cxx_api/inherit_graph_3.md5 @@ -1 +1 @@ -025425f9e33daeceec5c816d6c7aa3dd \ No newline at end of file +7e8cdd9591d1aa1cc3d3462c2b58a1a4 \ No newline at end of file diff --git a/tensorwrapper_cxx_api/inherit_graph_3.png b/tensorwrapper_cxx_api/inherit_graph_3.png index de2942cb28d8af34ee127690ee99e243953280c0..0d9feb2a0b35a2a0115e2982ead776ee17054f9f 100644 GIT binary patch literal 10629 zcmdUVbySt@x9t{b5l|5jX%Q4D=`N9yZY2ezyK95=hm?Sn2uL?bcb9+&NJ*DSH%P-> zeBbZ<#yR)gJH{R3j{C<&hkL90ecxw4>sfQnIoAqOkdwHHO@fU;AZ|)YiYXxwDEaW- z5fcUeM8&1affscB7ZPHK%d20X>$9Q|2ug&Mn23tYr;RCh6=n5tmTjacegwX-c@=6T zzHoaEdPJo#nj%I_0LqMBJr&`j;Nn6347An1Bx}c6twnMlE!15%h^N=_R;tb9<(=+- zhoXaDyn#cBDfK>Bi-d`~chSSkf==Kekq8#*?wQ)9q|+as)3FKV-Cw_c@uNybV#1OT z9f6z!*RI~^=?mY!dL@1=d9`H312n0t7rpf56Y|e>bsl|50w?5X#NqSv^Fg?9MJ8r_ zG8TStyDst|xjKXrXkFKMos5o$PutvuVn-a%6`|;{_O_C!2 z^HZ8s`bS2@@x_ddmws-JbapNUGdB=VAYlUwi|!dvoyNK_YBS2BJVo7A+p zZt<#?yLa!}+S;DrVZdG6*gnu)-5#;&HJ2_4an18t{EE4md;KLs-c;gE+ws&gG- zVPT>7xk@w`G&LudmzOs;t%l{4l$B!{HH}P7tDQE+;mY|xWo7I>lqC1>-x7_Ej#g7s zv#a*dxV%Fr=jZ2#k1CQj@F_8IaBxtyJWhb0-)a5l+}2i~A*+CZK#_KBX03K7X-?}K zL&K_?n)%r5a7|53SYe#Z@3Z5*7t+!y!8x{-t55PR3AY{L>k;2l>chTqLxQz?zCF0{ zZ1=_R;P$pnio(yIKOaR)M@2>wGQLVzcqAD~fQd?qn^jU`r>93LAduLu|2VpPeEgNN z@?c3xNpo}a?k=1H!@8)qZ{N<&&c?(LMo5-<9PiG~>P<4?W3I2S7i!ni#`e_K)|#@v zvbSfGiWC$Sw6d~tb#RDb>`wkIz)S4&$voLnGx)yTj=`PD1>XlXW9 z);Jj>35mckCo=nV+`}>BFCpQ}P zl0?!#1Y@G2eED$JYk`?EnMNfhGX<=>go(Ms8XOZ*!ih)KnnAPbSkr=_K>udkPtl|51=4ECppOGtR& zhmL`fn3xz&A#~A;VYy`y8g-kpewhA?==fj7LfHF4*q!x?!H{=5x$?i|YX>&#kJ z3a?(RuC3iCCG}YOk#TWx0nut|5>}-!yPTibmzS4E_Z7hx6BYFlqgJeMTiVMBS7pwr zTuXZ3$Q?>^JILSP-|VrLmX>&lg9@(^q-v8SvGi@>wDa3ou{{|BCa|0#i-+v&DxJSm zQc{fjlIm?2I^NxV62qi@aN{ESh9L)tnj!9>*^6}l*<$61JsFz<{JTNez zs9C$oqtrV1bzs0&Pw#VD+OzULVV2F(+!!K=#6)6xj%jR@+B@V zuBN7@Gn`_k&XtXy-^0X2a-w3XFL|cepcBIKhBaO^g_x97g+AIt&)ZVkj+2*2?5_I~;D<gKK^CgB|k&K!Z{BHZ%#l=q_K16fwFVNwStltxGA!2EYB;r$kqL>9kFT)2j)Ib3P~b0` z5*jM&56L_*%RC7+xm;9e2-N3mB?`}OPB zUS5sC!7n5wB~?^D1kYbCwMkHHy82gQ=REx=B*0f z0oEh~tgE7s@(EtxaV=;J3H87ff!1J8M>2<>(aT<=w!;GcMNPb zI=G_6#Kp)co1+poBjYKn`Rl|;As8N`H!0IigP{8G{=INyx(dC3{qGRSucD%@t|+>l z7XV{8=xMpR(loap($X3k8ip9E%O~;kIIU~Q$;o+oHe9r*(MJ<8>x2Xab$$D$;^kNt z5uReJ>6f0K?mX?9Rad7ae+t!u#ST3Y)g&)9kJWO#3;^Be&70@XpVyym*3w8-R914a zv(r3$$ivI~>eVZBG_*uPq#KRFz{>u^7cq6a-A`t`E(NRx)GX8u#`G;6y;VIS1vVxs z?W-rNs<=55>aC_~UXwXU=xA!@=?J@)Jr7O3m)<~hjf&v@eRCtD3bz9@F0M*>!DBJU zRs;CT3w@uX-bMt6gjkrG<`fjXDb@hgrSLkleg3>XicVg<0i#+=M^Vvs@3*X%m)E4- z>d@mznm4Rtqq<(m<^Gg~&hQ6*tE;P#QBmQfJU@nqp(6Q1VNz67JUBRrW!5DO65IRT z3xVh~9-5e#02p0cS*dnd`H}2-vhuUo0MOLyWH1>@Rv_AEzFi+5pOBD{ii(Qt>};-S zm+Ou9%tP>ddVA0J2jw5$?t=2}>+4Ga5dJ_C$&4~=?YWn*zHSjDR^oMeafR?ME>KD@ zH>|x*SF)1DFTx>d^emRMxaXMn6)zki>yGxzrM0!mM6>hrLujOe#BNhiY^|=EnVA6q zYAPwET0WVS)DHdnRWe>CQ!q96XJJQ4J1_Q;xP-(5KYe}ularGq9%jo3bB53PjG}h? z?ZF52n7ojzn4?_Mva-nEC&G_kL*3L={w0I(#Bf{5h{YGR;B>#dIEVcJB#elNFdr?f z_c$&Iv$Qq(tni40grrU1*203pYEW?otbq~85su$hmi2_rM=_f;o&!L-dNWk z#FUpGuw912kqTk-l|xB#ef?R6Hm{&ys=`uJL_|bR4p#)9k&zK90A$Ge%1VTE1{8Ow zU4WQ@nVFfuVK7lq((C`;^#?gO&USm4jg5@niKSl0z=gu>VU%D7IaQIpBk41A zNKNUtySImdfdRY)q9=5+{9yH7Fp)&0;j?EFQe6dQWl>aAr>m>u9X3mlb!aPx69Gi0 z)`F7Z;zdb5$-M&QZ>S188Ak0elDu4;~pWyTy}e_ruK` z5-cCRVhxC#rIl63d1*hkh3Z0gs=1eO@DHTbD_%>fIXi);Qfy4}Y#7CVq-s-42&*42^f>fFq%Q`bcfL(x5On2&l3*B?;yN=Qgh0C%QtxrW}| z(!xOF2VWwFn;TWolRy2UQ2seSYB-nsr2hS9qeZ&9jh^RXKM9~R7A!t>;mZ5Zyyy0h;X{O}R@Z_Z9%8zhr z#lxm1{Hq=H>#b-uy%xw8)$00@T0^rh?yoVZOkzGX2pMU(-_A~BXxJYAh#q z?5fXVnK6IaEn0i6Z7v<=or+6lgeN4_eoUyfG3p;0I-YVaXJiyOa`1`2H}(DdJGbv| zdlDCa8<|@PTGlP016HF&B3Oc+62DTuhHE_X<-3|18zIxDVw;pZ<%+b*{2oVl7(}^ltbj4i{qP#P%Uzr}hwS!SLt{TREM_jofA{uWoQ(bmCh~G=&b$2fZJ8v> z_w~$Ub}nb_`d4&>&I=Sz%=j&5mrV@x^_OF*Q4k?f(@_XIx-1U!k!5!RJseUpvSe3= z-cP0xA4wuVu%B(dH+a6_j4gD@U~Ng}IX>H;5_WNs6-&*_t%1j9*|bpKX82LanOH|h zN3+5rC@9Fac?H61Gb=0LCXeEQM9vx0>3xz-w&G1{l}+G$H;8^)3h#oa^~)f7MTLx} zW~NN$u|zlm@fpu1<~9OZT=Ee%R@o$5!sE=^dE=G3#*vfj@%Mm$Z+Ys7Fj@p5yxGI(O}#}7;&6AKG5OjR|tS1(`AQAZ73(8+zm z#KNM&^bt?v;p5B7%F46y1{MXB78h1S8?~~sl0zStQ}DMaG|l79wC%=B0o`_RaL@AF zxPF5EY*WHVjOn&$Mg-z4wYK*1d*bg8A1?2AT}B5JF<$^YtID^ww)%^{HZVw2p_i4G zepO}?A(}!dr9_Eu!~LndyBm1${=NfYaE1y!R2jhgp6+hYC_OzrQBhGlawsS$KEA%1 zuU?5!59}`XKy|mR6{h@BT3YM0@llHjDqH4&Nmav#@Nh^KO&uL_sYqBf(9P9z)mz<* zyScga>guCu65+WuV?Td>h>4NT_z@Cx`e_7Go_`aMYo)PPnQhAVkNHO723Y)nu5Eo)k@FM~66|`lLukO3F2={n_U0XZs+uFjE5YDCQGq@gBy-#;OA; zRG}{~De3O(>)aykiDB&N>S`tnILI2Ww5DL93#k3K2J{-?s8~x%tC&+^mwP#J62fUj zR=mOj3D3PvyWpLbgxWNE4IyKNN6s&dSv+RpLy76b^7QG-#)hStSxXT(24_u^lcZGa z+}z9S>mFxEJ9vUeO+7tNI641pPSs*k6>G?34Z8A^Z-&Sl<q`s z0yVjbi`(F^q6DV`sxm01T)c8GTifESEIQw2N=#}hD({m!c!J6D$b2`cdhJ8-5KPl; zyT?b2%bu=Benc@IE(+;7r&mfW*w2SVQ1n2w_s@8-?nVpkKB<*`y@>&dEO z{q}dD>;yf}es*<9F~tUpQBTfYoS$M+(Pd=``Fx(X=4WBq{*mzlv=<&Wc1dZey^YP! zTIVf@+T_%fDpKVfc;o|WYQeMZ){zml45j$Q#L&iu_HEs#p#2n8$7HV7H*6g!82Q+I zjb}VA+2EXxnR`2P+8YBTLsWQuJrY#?#r@_v8;ClPI^eJ5LY^MLQ@6LbQ&OlbCz6D` zJUhe44!34vy9}}Y^=)hva#VJY&tTylot>2x74O>T3p6XS{YBl~-4A-t&(7T3-N66| z5%NYuM+ZW$C={wVm#F#jB|uFOdg{FVF0OdXkeD79fAw54j*? zIv$&ACJ%J*j~`Gl#>)&04-2WeyNdvL)nCVpL?CFBEhj1xdF(qN#=7a+3JNUN)BGt4 zfCPD9Vm7vdLna(d%r6xcgxLO|c*e%YKvdwMU#C*h(DHb9FH>)Tl0Cd0O>u90$X_30zs3nY`TG zqyldH`zwQ`#(g6Lg1J0lHr)ny_k!CpLzSdrV!1rFMFxD(OfQcDQ-;v|uUli2yVNjK z10Bq|r9;e(hKcF}!Z^Hc3P0qv1us)ut-JdEPUj4RR-BRbC3$SZH>1YO!$w`QD3N65 zq{kg!@%Yo7UQ-U?f?5xPa&fsp;T%T#*xG6{bemz^d0Z-?(rW`V5R z>d;hCV*~QA@MoJ}K#$%$4&tpX0%ER*qM~kok))|vOGVuJ^OxN#hC+*jpa3s}E??V?jenlSJtlA>h8C0yX>AcJUYc;8eXbQ7h74b6L+<6m7-2AyGx;La{Bg-`S^v`$a+ zGFh#}vjxR6U)rvX2upOvV^Z;wm3ZHZZ+c*F_V#KYZiI3Pnp<02gFPZGZRg+so+b`9 zHZSs|%q(i>@jL0P!B~cuAXAGxF3%5Z0{b=U9FyRZT}Dv zv*2~x`)VaPuuZ+a8w=q=h1uCIyM{-L24G&?yLZph(h}sSb=?lSC!3(-DuGlaYyA3J zQKO*4a{takr|LQQ1VZQg%AguO&riUPln5uM@=Hxk1rfol+rV%;=yz`d5jnZwdRe0u zQ&DzymFr$+W22DO0JoU7wzi$!Zo~r#@QT3MR9O(TzeH~zj5_V2o8#a}CM0aAf8F{- z=J$S3*jM2dL00ews=>FasNkfaNdEl!^Z5Aq$B!SupFo~&R6cz8u&S@daV=fR)Y0(( z@T5(D=e~7aO4@l_(4Ab~ci=czWpylgvEGYHz`us*@N1rasz4pl*4bHGQv%H!Da=Uy9h6nA@lW zGc)1I;^N{~GYyGDI$t#;yba8rzOggxY!neukS0cKlm4{$1DL$Fw#LWD_u#>U(L!za z;CHwktnTjWTDb%UrvgV9 z1)Jm*!9kR~;4N%_aC_n7cGA-C0AQet@MmK}0>5p2tQ0J~t2#mU3>6i1vf5ta5kW;+ z*|&H$3Dr8)&Wq+>9ODm^!FQWG-D+&KnG^M)R4dfV>833&x1OkAWMbOv^Samr5vw|i zE@y@+RsBKn9|eb!c1=$-U$auKzPRR<-^>M|s39v_qMZ9SWlx)-16`k+8+zNkRdJOj z&1#Hfk|2I?Ee3{{IOf0#JM1W3R($Ry35l7K5@*yew#^58uCm?}`C(Wdfen8*YJNR_ z7L2isC4vv8@KB>mBkvuX^OFOxyTjd85Heq0OEm$=PL?j|8h@W;drE~b$~rdKVg+i0 zb3%N9{2$?Q=G{^M`C?+i z-IiiFp}z6*lWc;ArDZ&@e=aUfdwXBLE<6OnMizm zv>|eIIkn2rnG@H1`UA(Dj zv0@U;BA5q%1gqWERaA#P*3^_$Rh8xY3`jy*I5O~VcHL6q2t?d@K^?)(%PZ$V&`2F2Iorf0Y6EL5ASJVe-z_ct_@Z{zyF!cBzvW zI#wV-`MUH)0nK_iSLe2-ekebs^PSby$C{nrcM(*G-QWiB>GC3m;;o#)V zEgVv{9u<%S+1{dD4nQukR_8w$;y0SCP?6 zrv!BZ5c45oniHk~+*CH;Z%so6HpVD8Su}-#ft|o_X?d}c@#Ce}0r_vE$D$Gown{0( z$KDd99Mb3w=c*osxx~c86g8Zzf~4ISNNrG6QE6*$Us?YAk@Y{MigbqEWXt``!a^o~ z{!i`t;Ll+Cx8$i8h4odTmtReTu#<$dUBkk{g1%Q-8G}w8Hv@x=<5t~c9QkADxPbr% zyQHhHZ*)dOI%5~O%+se&VH;PAz(4x0nkJ=DGT>h2bC4u%ONq|iJv|3yUN8ib+rfa< z?^4Q7Pa6f-jg5{5UTQcyI9Nr zg?`HBWHq>St)W9j*TE^cbNe`JW~^ zY!|8iyCryfdJ6Zb(kd)3ca)UGOyV2H6FU2XJauAnM zMS^XZk?}@Bp&t~#W1pO+-?-XJyvVBiEqu}9;$kBsBZ!KVz5VI0D0vkwBe0scafa@X zHcCF{uvB$WFVqSWx)n*o!@?qr-v)-}GqWPH{M>-i(a}yrRyf~Tja z(AoAg7&Oq)nXa7ie34ipL;Hl8xw52$o{1^5aQI7V(|Gq2^C#?+BO@`1iSJK+5#;8UL`qGpvx{dNM39l>D#Fdpt)iypx!21D09|8_kyp3(oe##N zRMpkhZEc?>%4HGKsZ6bUL2IAQ=o^eUCiwUR zmKqou0StyYDCo4!DCO)od0)?xOH6eFst8L5{f^>|FlENhFRt5_TqT0hsUAQe>WF3d zoPIHJ@>r&ssVUaYoAuzy$;*eU(D(NAn46jH{`oV)nKnSEOD=U4eLn?YI4~n6B_)MK zo=Z?5#RLpszD76@tM+9-ra4AnVBnxh84%sI@ANu`n6OpbY-BukhRr@`Pt*&4?HyNI z&*(IG@K|-uyan&a#ofJBBOg2;s*Q}$@@RGP*XQ~qp@hIwpp!3ju@l~^qhC7ab<|41 z%EqRxrNvG9-TOL51B`uHM#nmeK{`30@>m6f2fo>OaZq#x{+Ji-uvKR*{V%Y<=jGw% zK3in=8vF9vH!0xlZu5hus_I>ca923CTE`3zCo zQ^XE$nz)-e{<#Etcksia1Xecuh+_kFh5wd3_oDu-eCk{0cQu8Bka{jBRw%0H^FIJv CTBY&; literal 3127 zcmYjUc{o)2AD$!$$(AjoYb#9l4x%U-dVyLtheo8rCmv zK-{Um+?pgd=crZOS>3<6Nq;_tuEo|9#jE-jDw}3Zwv1^roV}IBAgq_*Q+eKKGefEJ zflyG4rj^YoOK|VsmHYa%u-V2?;ryy_FYl)?n;`}x z9zK?95MW(D(bd&e5OsjRv$Pjyj)y!mZ$#_V&qd&H+iSCQn+eg5DA-s#Up#`t>e<9D zh;sJ;m^#?aUQMCP`#-k~{3qhzuse4YL1twPBnrjZ3D?ljAVGK83^kaxuC6Ww0=alm zkiI6RgY=+9%1+qZ+s9iJB_!B5ICRGzKUGL6DM3xY3o(}KqtjKu;EKx1lyXH4jey0$ zVi`fy2AiRS?2g{t+Y1+He_^KtDx^@-KF_l^cH#47Z{EDRc7Xs_7q>qzCN3tH`sY%A ze?NeU-qG>J&@}2`&j`DsIVpvBrH}pIUvzKib*ts@a&NB_37RyEv$eJL_Xm$>Bg^!b z;qT7(U!sTd@-Y~Uc6H}%{(*skkrDATXL3_h zLCXlr*y!k1?@ObH)D|GpP6YMgMw0wvpahFUC7GF-qTDXd&Z${hcW>mcJ6DcEaQ}Eu z)ZRn&=ACyEp1_+QbxgCPG3+Mj*Ek4aBXeqJqU@8)|Fg z5)zJr9)^WUy^$Sh4|cJ#vVuaPS!e}9TKcbLQ5WvVEQ6|o%xr9qPw7bt7(RnMTz@Rj zOM!Vnq1?-u19U)un<`OGPOb{{@ri^62&CcF64#V+7QzE+j@*}aq#IuP_$EtC|~?S@5{-$`)&Y)hYxpw{yhP5CPDr5Z^{e3Z^Ph0LtG#sF)=HBl{8y4 zv)SFvP2%)vVrnYp=ca#!t6Jt~C6N>Egc~idUn39pcJlM{B?&$#R6|3<^8~BkghO(T z@A#sgrA_3yPfSjl7#nwyc?AXQUoDktTE$eIy!j))b9YtUw4e_`VK(C}sadXMkB^w$ zPeip!&!*5-CiU&xx1CQUXixiF6e1O(!mBnfE?c8ckf4FNN618b#{VdHuj$ghv$L|YGCVwd^tfPfXsC4ZhxBw2+$m7Zz2h#b#3M(J z1c$ODNh{e(^77t53zn25lyhP|ZImNee_5~RMba%oU_n3 z1AzItN>fo%+UN8^f)|*;;fDwNU@+Ly(vl|@Xj`dd>onV1+}gMD@^XMAM7z3(pPSp; z+obCyIr(z3vePp&QS9LhhOPFB>8rHE{7d84V~9bGQ+=jC9g3V^ym;Z9l0hUgMn~`K z=A4b(E}~LRE?h|LMdP0$SMSHh#!7&1)P^jLFqyZCuQdkDn8KoqZup+kvH3Tlky|U% zZk4w}u-JsFXPokle-C1HZ*Sw|QX2dx^|KvVY_=VCC0)tBxw-k<>@1Z^wYRhDEr6^p zE}j6DlF6Iv>v=|4Gz^wSqaA*HuF{jg!e&d$$}Y25`lwzR(EDni&$~Z=F8;VBFC=3c zZm6esn!c8om-k1Rt4j)cyjn>^qpz=TwL4qKjqH)F?ZX#4{YKJ}L?(~;*0r{_ULyt1 zen@`xlKfx5!t9jt_^rAE5Q4HjOuC*iDLk8#MytFm|KVSOeVk2ec)*jBlT%);V5;?D zDjX8Zq$Usu`KA#MYpG^q@miT%w+kpiKEL^WSi#c}oqXG->FrFKev@n_AiQH3f zqCTdM`{@?|sQL_~lLdqN;JpHZf(Vv(4ZZc-xG*OoG*sVQNLE%B4u>ZuCeG!4zA7pC zV+?d8G@Xh*EPPWnn>&+Y0OUqiIUnpK*@?~Etq0t~lMmNuk0aApza|d96 zv!!><_!DvPjVkZf=PFkVx)ck*iQHXt0#AVe;;zV7eqKx-Jp~4 zH0KZL0M*6CMKYOO=30?s8nN3j6KU^j;+L?id3c+7bKnXlQ^QMe;mjj>9v&V|fu`U^ z5pxY=<&b#kWFGn&fxvUOucyb8f;cuM{-l#D=1U6Xp#QFJuD<^_jG5j}J>RaREEwy}Xk?5RTNBrVpC2dmBl00DKyb6Ac!x)&4_W&xP7&$2t2y=GlI`S{`TL0s;iqf3BF)Wh3( z1QSGMWj$}*I#`)DdiS36^r_&uYFDIN*)KE;7(-7_Pl2}EzOFt#J`ro365QrM0|3-$ ztgjcJ=tKkt25L=_%gWj{9m*JO(;G{ptJ6)HRo0W;g};DbH;L1^9u!n_uWLBlXMcAC zVEJnkOVy+v-x?|Cr+fGAfk4>~uLtg`FGe+8I$A^ylCalG zB9;Lm(GuWrIQRYhnu8b9Q&LXV{F9}qqr+*7=MR`^sUVTyHRI51l?x?-K|#5Ofqy0> z9B(WeT8!44K$=zli=@xj-#;WU@LWhI^h+^XQ}R|buIL(RaA>G#y8O?va{XNMVhT2z52Yq-O_vbTp9+Lv!^*(mDyu!eC>-=yP!a^7TcVC>UmB8IK3-hW z$<7Wzfl(-wZizvRsM(7hV47^DWKo@n*pTSuZv*k)G9U|O%)ck3QxGS^0iZEGPU~rF9!PQ^wl9@RQ$Pt1e3q}M>N&JQMWb$)!wZ$B+hK>bU8pYJo75Jx1 zlSz?sLrXH;ZBGAhV&ilWtd^1W0@^vDS?PF-BeV^xAG94{;%X`>by6;#6AD!UN~5Zp w?t0D(k<2H_@H;{R{scf*E<0I~ExaH72Y*Q@H~;_u diff --git a/tensorwrapper_cxx_api/inherit_graph_4.map b/tensorwrapper_cxx_api/inherit_graph_4.map index 6d2b603c..dc851dd0 100644 --- a/tensorwrapper_cxx_api/inherit_graph_4.map +++ b/tensorwrapper_cxx_api/inherit_graph_4.map @@ -1,7 +1,4 @@ - - - - - + + diff --git a/tensorwrapper_cxx_api/inherit_graph_4.md5 b/tensorwrapper_cxx_api/inherit_graph_4.md5 index 8fd0d367..e667151d 100644 --- a/tensorwrapper_cxx_api/inherit_graph_4.md5 +++ b/tensorwrapper_cxx_api/inherit_graph_4.md5 @@ -1 +1 @@ -d8ac3e0c8a7cdf14c75f6b5c8d4e1b3c \ No newline at end of file +95932f454adff135791289b43cc0df09 \ No newline at end of file diff --git a/tensorwrapper_cxx_api/inherit_graph_4.png b/tensorwrapper_cxx_api/inherit_graph_4.png index bf724ac7a40cbdcb382941a7fbcd9e26f0c6f25a..95cba2cde432c42ae51271ba9dc3f34aace05ca0 100644 GIT binary patch literal 4810 zcmZ9Qby$;a+rURiD=FO~EjU`bQBq1!$&u11sqi4u0|ca{K|os2jgU@xMo5erC_O^D z8Q^>Iz2EWu@g3W--Mf$bx^`Y?{?0SzvA)(#GG;Oe1akAyLvxQWng0zzHe+q7E^9nZ_)bb$ zpn6Sm`SNn%ZhCllwlb$--f*1wYW9f&wjY;!5bz=S;D=otluDIk1n#*8A>mrqP$5mG zQk5wTe?-E?YS_sWPW7HJ^48nLYHe-pU9_1slPrbmZa-gMdtaZ{3noijnxfI4Ki?+v z88FLI?8D^(_j#C^nVasF3hBa9_V@QG*zf}*_5$P)sCBaczc0TnjVe*Mb;#un_JpXk zv@|?SX??x)d)5bq^;_5f+$?dJ!)XexMCCEzm2PFEcG4D z`8ogJ8m_Jtqe%ZhQ=w14IxZk4t-2O_VxhL3ggxgua{ll7mI_Krh#+2P`wkRLVuWIu zy6%5xXD!0R!{7ETg$`r8rl*-|Yirk@Wsc0vv0>^xqw?}N!d1EC<>kHh7Bz-88{^Vl zbiKX3y?lL5zZnJxpKM!##mfA2u>Ix!AH&0DAHU}wm%Xq;#H)pb@DShWj*jkum2BFs zudnyNXOk=WCM+x*7o*Po#MroNd+vLml>1Egub>0HiII^GM!SK*!T5M4@kqaY(tKxiwO8{!Yrlw9^ACG5CRcZNhakl~G#U-w-XQ$h=caR z?Chp5&JHAxceHtvYb(rZ#LUdh(o$24$NPGFBX2V>e0_7WUE9zg!%Ii@)YzD|^vI%D zN3ulW&GCH(1_lj^@|w$wi>b~C@=Oy!2UAni0Te10&t`CNF#EX711O^FaD8lgp({$V zb(IW48{0FNzS(?N^*l+D#!*d;fS{e3h2=I%R#rCSF~7aE$E;19f&m0~vSU{131o(3 zsB_y&N=mxz&Ue6(mZoNA;*d%t@=0xFb8|MHjsNznp_`nP)RVHj^mGOt9UZ%q?KwNO zNDA8*FJ8Ef6l#F;ISzj8xy34z?_5#cRu0tnF(N8T=x7@0o@JEvD4AE_!%KtB#`o#S zjHdGPau_7TM9@@NNKnv-M^^;*N5IyFIqFJ3<1i_^*~i7z6%XR)=QqC>0N(eZ(2h&o zi8t=pT|*97spt2-d-w1lTU%RRetw$z`nMD>4~+u?18t8s(ELI|1iKec{X>-@e0+Qw zzlRbEEb|oD#U0~}bX8PT_yq-3y}hA9K|xfktZ@g};U%CiegOfM$Bz?@-k`4n0|R$= zci*O_-VTswm-3h;iBT^cclZfqxi=c#wm*i&d&U$?vas^i+`rSHoROR!zUnE*x5;vO-yQ&QNwcV1T)fpqlru%YY+j1OM&XeO}7fBM8j z!6HSG%&TYQ@*B}+BG^;sfZCmQ%3A;)o`_m`sH(As0{^yu>T0>x8gc)O{Pxc;*Ne zX%A)IWED;-n}G~yhEj+kH#hf}kiY+cor($z@xS};XnJ^vfIxaPYh`Q81&@ubeSPF2 zBO{YvR73!51LR?p^Ao@;NwmF?*7Mfq}=*p254jyFG9^`ue@Ijjt9K7D7`}=pORW zghxcYuv7{<-L;B0v#?;j&X%XdMVqd`CIi_IXg4Qo`U=#dfHxDkVUT(w=_uB+A)!fN zC+3RVdb#p}?e93xU;Vwh#Jh}!Q6Sx>-~IUUkX1f_DmOQm|K2?fO-&-dt(hB14++am z;AO_8FbvZDS@K;7AtB-X48oNvM%~%Xt^0Iu$$PPz)comFJV-YTT3A#Bb)S*g4Uiwm zlBSG_iBa$vo1JBCZEXd9*~Q}7j0edOce?fA!-u9|RO1}KR?GE+>CoE+#L}mLqz_tJ5WRjC|m} z`kn;5NeRCLwKq6{dR@IShJuc%^9>GCdTosRF0Wj2c+5J#Rc?>c<&Db93OgRE;Up&~ zFNVv+(%*ZBKp+f*gs6lLzQa>ThpdCVsR&V zoT59@mF7uglnJ6Bj&AUadP3|dhI4)S?}n$xAZhH&Ukh%Q#2}Y+G0hdDD>9!ye{P?s zdcLr>77e^*YI@qX|HEC`wzg1tvzrgBg3;LUz|Dz!ZoitDeg~hhU0vZkd3bm@`S^$- ziCJ0X1_lPKa()zX(3G?^d`M?km#wXBXnDC{wydvqsg9o>hVX5XRsswpR%ch&uF+y0 zgoi7--1Kv0Ww(LSWjH80y4f<+U=au{*}gBZ9v!{;F$5vA%o|W^whB zxBu71y7_iR?y6-fa!FY*m0Li7l%1V@_vA$D`E!=KuU`#~jl)7NH?2X+ojAL^dDtkM zxKwNqeD%=7#f3~0XKJdTR;ti2Py~3!z`rzjImr_4R?9Z@4we???pw{AF$Wm18r_I_*a=iog+qa9y-=n;z zrU9LljAZ`9|0va zqB*4;V9be2{$#b~wW)dT-dz~T6sIB~oGV}Q5~xLE0&*2Lm0dP!ehgi)QF2@n%d@vL zHu0cx5lF>OVh&d9I8up}u#2M3+A_hx(pjiwA_nD6#lb--EiG+tZ{I#LLamb~+_Arc zg1%ZEU>71|8fz?%SM1ZtJA66DCm}&sP*4Co`-Wo?oWmWpZfs9EXvP^P*YRi zmy|ShDXQ+C0NjFOrG#XB{AjcFEaVhN8CF)trk~yLZmiUEzMq!qG>BbR_VraX%*iRN zuFkS$roJ^>#v6ZO;Smug#GtQ^SAoqbM`G~1ph#awH1!=SHn#Y+HRsvpK-$dAO!Fom z0f1b!L1!-k&I+P8m(Q<=HZ0iI_C`w;L!zFVn@4Y9>Wj+D$%bXp0 zdg?(dEx*$P-s%CoJbty~+uz@RdWOy01NGt$rry91R#CI((}O*j$4avkQ&zWgg#6Kb zea_r`G{JHox)3&u?dV=cpPf~SNC$soLw!8-$@U$U*eUl>xK*N`13x_t0I|6Qa<;Rx z^ILP_Z8VPM^DA`X651?S@fAKkzKy&4O;B4{SXg*?c?DBDXX+ftL8T`EWYu$W7gozi z$)Ok?8%wULs`|wREtmrcFKeT_udk@M_yzzY5>nERcQ?pWCY-lCYsM#!sG-HwGW>d&8} zHDHTkr?`Zu7*fiTl3`l@Kz&SYCCGXdYk|K^k5*;o56(!)$U66y`XsMD{V*RgwPUQY zGQMYhSeQ;M{*BKd_Y0`Bb=le39-Bmk-Sm@ZxXl`=v=95V*YZ7jHuA_58*E_S;p8D)L=TQ85Fk55c2t`25tZ=y}-T-@B$y}Z5@!hUvy z5vP{to|JUbn1Mzhva#_2y|DRP@1jfDW+F!6U7(IdES0h$935|ffbKYnDMnwpvqqf~5f4aS`# zYHHX0A_VBjpbr1isdcMHk8HXZb3z{K=%|6F2dE<@Ew%?%{5#&SstG+cMIt05)O>Zm z33sp*Iy-cVD6R$#k=OR@1A7OD0+92@O7zrTzO3UuJ2A5^691XNNe$*ial!Y#&%n)~|tww*{yI0s04@HnR$ z)oC&zlYMh6{1$r`@_ipv;=sTM|DsUn<5#}E5eW&DQf^cENLV70Og$+nN&7|!qUA|y zT3Y1su^-TG5kMW#$_CayOT8SKG#^P;3_mn0Y*=ur~s<0%3=e zPn!Q){X+wz%VnUt6~e_HD3Jp4t6dNLwzGRNOyDx2Z%IX%-XE9A2nHmuWq` z_)XV?n4#-|35nK!`Bgh3oT`)huC6M{LiF|r+M@2_b4o6P_}oJ-O%3j(d4N%ox5B7^ zjR*iOYoq?V^pNd;qyGOUJfx6iCRq|yl0fPUrAzsEl~~CjGccTjJkrotuU55r_a86E BWjO!< literal 7506 zcmaiZ1yoes-!5SwUD6>T-7Q@T14tt!AqYr`N=nSo-AKpK9U>^*B_$2g0@B?z4BzH` z|M%W+-SypdHw)P7%$#%f{^j#LJ49Vo0SA);69okY2cjsiiGp&^8O#MR(7@lYhPX`d z?}3@Jf;`IY-A`syK^zJS^+SlfjJ8|a?!3oqE$3U5gMIQ9Ty#xdi@Dvy*giC<54qc= zOb9Mkmmw>D@|mI%p@q$imKmO2XiAeWF*jqM^k~nY#3(&WDX%2o;CBg_M8Bg;=H#WP zMOvhqZ&btVgK&PNS9&eL4rYGgu6zD+h40&oi3L4@5Tb(B+zm25lCl3a_m1(teEjca zly?sYD*iK-7Bhw3|Id7;Edi#ftzB(9#g#9MDt(*(GBqJOy48so_WQf7u7(D|m~_H&gWloLi_;lxdRB+3fT80rlN&;6St1oxszNY^qEv+9NfBT5n- zF(yuNIwu<&A!dMz0;MML$mxG6wxnnaaC`73G;I{@KVHb z9^Sn^^fPWt%bi>9#_s=f(|Hc3r>FO11cZfcU8{V2d>-Ob4etq|^5BZo>~D{@9yq0t7U}a_x1NXIyy37Was9}Tk)cqqw7B;Lk+q6ox&Ta2;@!DLe0dwyu6gn zQm2oZYy4bQQ**vsv-s=h&nJ-4#YOn$u=j{>DSEhfCwe%~RVU>DqHl5W_F$=FCh{Hv zGDt{*8NjYvKJF#b`c?Y=`1jG#QEzXQhYuh6N9%FCx3+%t=+PTdmOz=wO^Uban$d3c z4?+rv88gbsy_Va~bx}|bNXyE~5)u-|&A}?s8?!}u_@bS?38LM+30}b6D26H$xQyIS zwq6p{XFHwjl?mk9K>F1TwG5CWspfM?6t0L&-(E*s$aQ~xTB+^!glR?{Vu{+&cq*} znU8!iMS?Md@#~$p6P7LOUhma8t{<3($jjo(8yZr=hZbubOx)c?W$^FGTwGsEK@mw$ zFt`#+po|7?1vro1Qop5UcyjpU@Xnbb1^08Qe58jRLNuXJXb>)ScE$^NdH;Zb5c%x0 zv$OLBkNvv!jJV#njF78~i`u$6qh`;`ksJjG1oG?GFE1~z8iz$8Vd1;jbai#r(9ke5 zqhI(LPR_sfE8P$bEiHcA$x^VsZNj0gP6R_D_O>1Rktgx=)@^U5!9}mw#vQ-8| zO^q4C$I5DrL|le$YY`~rfp{4GxYBK5VWCm-?Afz)DOht;lf<)U$sJ1qLPDb)1@$YknA#Vtebm&lCE63$x?f9Sy`8w1s{1( z2P-!>Gi0=<$7=moy4$mid}T($7{#}?wqd%N+OJ;G`|r&+1i=?-Kcdq)-6Fjj3B;*; z5H~mce0(#rv(!{ne0+QdZ3Ah~9QPNR+ybE6{j*h8L$Obl3nzr$&nY$ud|Z}KYg0-b zqs=Lv*I;8~!b zy{|7!RrL#FO*h)DgZD5K-u2{A@rEfQgLQ2}9R_pWUy$&R4hzFVMh*=Ol;-5*6c=N* zZ0+oX)9M)-GWgdwG=Kz&0{Mcx-oL)S?&wh=CzET*!U~%wSiW1t5H~v*|BQx_T?%sj1uB+qPC#3i$FMKjrDOj6ul9 z!c>}aYtxWqtF8rK`SB!OJ`Ouwht)MSROywjtyx||4BgyB23vxHg5b{_*ZShwfh}=yard^iJ~=zb zE9D6a3cB4#1VojTutV8y!)l_Vqv6o2qOV_h1O!et3*a}3LA&N#&NJw**>g&c| zAFH^|^Zjr+ON>EFLQySfS+D^93W7=*k{@-6i%HNVG5!$|W_h6cXlIWFNf@BWgQ zxKcAbIA{-&gO``rb#HESYm1GGD>69P4RKLfe9OtfF;{J^_5AsB2Zst3rtQ7Gz3uJe zqa#dQ+{m!7l9Cdlu&(XNGAt}CN`A}m<(8I<P6@^XGTwuzrQE)a=n;qGgx@< z&mU8e48)jPT3V|nFO`)WKuUE4;ei{lLgWbv2(oPIu6hbjtY8ZZ3u6Upu=RA;l#~>C z`jPGk%0oj&Z2do>^%_RF{4UsL#W^2c;CK#uwzk6a$NY`?os z@x8k;mfki{A$jq~j~05-HZwzE^6Du+zhk@qqc?BffY7p?Dvt;W$>ORjeAgXL9vK-4 zE~~1l78MnNQsUy`a+l4fR#w8!TiQ}mQlzAb0|P2~x1j4>E{Aa&=PTRQI{;#6gO^>;!iuktn={_EfQ--8bLZa@cU4w{Za%HBt7{;UX za}h7mj2O4@s1W9iVrW@$@#T2YC=s)gd^Qsn)>$00rqJxpps=4L^5XG}WnM|9jDJe5 z-I_0I>(?)dVUCWIFEyVFq%L)V+5<5JHYGiBgrLC?GMbv&RRk5=?>nTuF%TOecEp1Cvzwhni zd-<5hxyE5?eLc~_%A}~wz6+jBm-GsCz9YnS=l5!Ty^y1$ivu?!&2SyFS}rNq9CE6q z{4w!s*pYm<83CU@?U)Se%GAin%|2{V+<9w;y9MzJTqlRb=4xZY=}~hmvX4u?edCKr zKwr_)I+msfZEj{DC0_Pr$$?28*!7q6^!Gz3h1a$)bCavz3{khRg>bh zw`S!N7T(^Cr}IDft5nn}?~|AJp3;V$y~0PA0;%$B`|Y=8G1nPtDp|PKSx$L*kKGw< z2y+}O?H?gQiPue6!K!kEVO<;v5vs0lo~S%Kba!`8O|?%+v13wO7@e9@!1q^qQQRl$ zKV0Wnv$yClX02#e*;G=J^}0-{0DK+Wr_GC+l8nslPb+GEjx+`xO_b}&hDLslskb&; zL`1~*ni{zHXFgdLZtkJM!H6fpv9W~ta_Aio-V*RA1&+!2Ecq6t6;)I)V`SIW>EAXy z2t-feP`Qz2Q+`?RW*k3JHQKzL@Uv&1M;QBi>;12t^dyeBdsFp!Tr zF`=$5;?F0s+PTQwT<*t1c-kku%oSV6E0Rmm`DV#vMG_p}nwsN|p!PDusq2e->>0F$ z8)4iD8&_8(i=IR|W4q|x$;p+-GvT1KGXVN-HP#WW8aX>-V>!+gnyRY5@T8nJok$=2 z+~~o((bG?kqM8=`^j7ypcR6(ZA=^!ewc=04d6Pw1=9|)@rYciu(Oaa=ue4_uGy?!j zaW@{c2VjvpH7OVoVFsM&1dF~EO5NStYX(iES+ZO81FbwyUS1w5Dk^A87<83-bEBi# zTkV+!bF6;dQLw9~^EF~p2MI@}H(jBm8SZ@~be)!|ywr)PJ{+U>*$!3H4I0e4uyAoF zF$mR^*9MZ0_Zs&3r~~M}eKidVlx%QVJOZZT;N-Mf8+c@C$w3lkS{XQKBzEd&1GBTU z%U4ZLiI2~VAH)@bs(1a1(+xs=2&f`Yv!CC_$A2$w^qf80jggcrzbEr``hhFvgm+9O>;SYOCnv9;)ip6$jFLi<5fR13#%9Nx0w7joh*SOJM@nic-g4ly zJG&16qYj`ff+i=oI6hufKKtYO>lWl@rFjVhy{Ek$2ZpcrA(!Qxe&-XCFgN7qirn1b zqa%BT$kH@nhvK}asa+Ha40t@@z;8i8$IUlqW#7K3{jfJ|U8!4IQ$4n^ss3<1HaCZu zG;{#3m~Z?Xw;3Gn6BoC8v^s`~IcZW~%}Tdq!Cj$&L5GDUB>S$`(>svJFMCrV$S;4* z6i>`?Eu6&F-ooO!{pY3j0EgyFCTRG6OR3gXX`lg>8a?N)ig$Y(;U7iPzI^!-gh#tP zOi4*;;;}1eWwj0fH5fJ3)hC8hoSZm|hByr#=Ul0S09U-gICN|D_xI1td?F^+0EuG) z0Q@t6ldrj^+S=Ys6zhx!%@w<}tsMRzHUjttO;nBbSU$K1H)v&h+hcPSey-E#b$tfd z4WJYkhbu!F5@Do$@Bz@@2xw{dH#ax`{;dXV2_ThTTC~)`3`wu6;~^=vr}yAP%ox61 zW}n^NnVvq?s6qa2aIGjPC@3qlS65fJwq`Z{Jv~hh9swZ7#>UU}(eO{Da3)C ztLu3@yKa4L?eJpr3tlp=#4ssW84L&`q3@HKnVAbuWV6@x=-Aky)dM6F3BV*1hHwAs zsQ-9{;^`|ijI7_k^^}$S?_-gO9}n=~VKGIu*vWvgKr% zl2cRrh;3U9>`L|DVhjup%F4lSuC@zJVDre;#C|`&p48+vVp|k+%TjS23Exr6*E*5p zZ~}&%1-F$h1j3cuWZ~Nzx!<)Pa|mSfkDVvIS>KwQ6OocC;CDt)3Lg-rkf==P`SSg_ zkg;CoG^#(@nkaE-JbWO7f8kP7Y*tuOvT}S$g=;mM3;F!{^9(2Z?$H6+y*!>+Pa$V}@Zpnq-SBQIN_`^XXmD)KKA3a!EIqPg&7((zDXFjaUj7c6?Uoc4{yB7$k&#*SJbr07t6m}V*19)Ccxe4k+iyzYSWT_OrLh{7v`Whu znaaw_;NSxZcc+O6%2}5kJv$4FUrzEbWObr4tI2g!%)2A{okPQ}_pwMN#bHo6?Qy64 z4qjp-BO?>9)5pj(4DKvzP3?%MUo@o-zg1P;AP~6JqVlo1>MXe-Z-7x>y?XWd@#96< z?aha0@DHQ8m9$>O(A^m+P{t{##4|QORGWftfld$~9}f(BG^L%{OO=;1*oJfVuFwX3 zVxS(np|Gj6-JaQC-esdWCO?Kf4@i{NKoT#2ssNeK&di+6h9&gG9W8#syypv54%}N! zH0fU41Fg8iu;$moLNgfOz7f(n0kYSKn-R6p0)sR5dV71{T%WJ3e*E|m1QIjkTS0+U zXD|VX7Pq>nsG)MBhJ%&k^&z5rBh%9%@Mh%IHbCHXkXV6+gTuqNI3pWdO5yjp8LDX_ zyb==B+>3RN%*Mf1mxLkmlCt8*%^v6F%XIyT2ip}b3$wE&dVC&dJ8iBNq#^P@e*9Qn zT|KG@?K1OMx3}knvc>g^P~jRgi;7av5fc#|A1ui^_nGMM0Dv425OCCBYj5AxRW8Dp zk5^<8vsHiZoq(WVKu{2a|6M6GU6OxsH*jlH7RU_5iM9IajpQ&M-9xi9kG6Vuh)q4Q zudaQHQJnJevvy<*Y&R>A)aYbi?#;Wy6NW{ko}S*HHmYapSouyIbZ~z3NZP->%rt_d zc_CTZ*=Tg*!^7T*EBsi1`2-qMfSYb+@K-jccr~7?G*y8hj^{q3g&_!}@`mnQmW6$$ znjs#NsO2*f9=cl8CmM>l^byE$>Z<1n-qX_&%ni}kd9xfXE+G*Y7iWFO;t;$7@$!Uy zw;H1HebOCC?Qwaus#TyGK_g+nK~gnshlhvPh=yE#Oxn~aXgirE@^QJ%?_phCot+RR zEwhl#I12*6!oKeAz?4A1WB|WhDI3{o9~^uMRWLR-K8iXl*ukK)T9+y(wX(O5z;8Fq z*VfTVPEP*p;lWPBw>M+Kr*C1Ar^gW)5z%$000Na~cV`E~H#iCqI3Qt(LlGC(`z`zX z`?Qpl9yeFc{=-ck=lHU~FBjPC{QOmbZWR}^`Kv1_^?`5!Ynhv$zeS$6m^8Y@_+CR)1XXTozbZ9`L7}e& zV2C?WfiqXrSJLrIq|ig*-yOzYrxVbM(eTiR^K&ENqmQ@S|J0l3O+-st>d2k@J;Yl+ z#@;+HEIZ6amOFq5XC=n88p?>k|L+<>79iBNEwD5JYfWkC)}@Z1vC&a8GqZs~K@qh; zDCrH)WOUtLbFsUK6Q(DNTo1bFNRPC{jeP)V&0r4Puh4qP^)e2Uy&REd-(eKtt>BZZEba$9Re}4y}ccf z^_<$Z6hT{1#17%N2!$~$lj0VvfBF#s&oq*r7hR+#ij1+r!5GdiOKWT0>&GA}VAs1f z0Aho}wZ4A4+KkBvd8MOcVP$oFaq;9%th&Cs0&IbUgTr6;jg1YPaoN|eAI9=uf(i_} zCtosl#oF4M5DbY(N=g!Q-E(qwehiwwygZ0>J?M2DvzjUd0;Gd!AR_8LD43GK)}cD=RGt$nwYcUH`SX z&a(&MQKGDWH#WeFYXLq3y8Ey&>sHiLftQW{(S2lci^+gaP@o1!{u0{BN z<*J0|Pt|0GgK|4lZ4H8A_Z--qfArngg3w|i^}$lD=M#5+82;id`jo@u&J$JBI{+&5 z#xW122r6&(v;kM}xp-my4^l|Ub9wo%dZqeRmPPQnlsz=MYMY7T!BpWWYB3>p_L9s@ zZ_&#S(jXwy`7HVXirHCRbp~2H`2N!B#TP|T1b~(gkS$W=pI zw6ru$EiK1SpLTY3@MS?AB4Sd(z`}BLaWQUiu~$*Sc5bu%%t68qM8uyl48<>Ml>B5c z@^W**F-Aje?ZKrd8=1RJVD1p%Z-A+$Okg+dSlop~Qe*-vzvxXpKOCvQUuY~UR#3O= z)>$Rv(Z4g))|RN#27dM(-co+|#f{eUpbbw7VG62Y#ov6k2S5*>p5ENu9b7-o$~m7b{W_oP4{2L!Eb z4;=g?#N6zWV3YoAEoTM|3B`z~8aY3_OfE{M%wqBGCM9Eqm4)TQr%$7^dnam}EJkDX zJRg@kx3+BTgYtDlKj+OFa^n#|VgV3||Ni|Hkj~`D|D1P;qWO3aTDF{wD$~cj>j=a- zs-fiNo1w^Ctany6q$9^2T+`Lj(FvWJkBW?(9I+<>#1J?Mk4C(3B%br%;rCL*f0OYx - - - - + + diff --git a/tensorwrapper_cxx_api/inherit_graph_5.md5 b/tensorwrapper_cxx_api/inherit_graph_5.md5 index 2d404b54..c0e7dc7b 100644 --- a/tensorwrapper_cxx_api/inherit_graph_5.md5 +++ b/tensorwrapper_cxx_api/inherit_graph_5.md5 @@ -1 +1 @@ -3663790d5ca46c9f324b03d2c0fc7284 \ No newline at end of file +04c1e66867855c29ad0dc28a27fe0d51 \ No newline at end of file diff --git a/tensorwrapper_cxx_api/inherit_graph_5.png b/tensorwrapper_cxx_api/inherit_graph_5.png index 7e3d5ed8bcb97f2efb856f9d0ac27a90ad116ac2..f53b35cb31e9219f8470b18facc6d9e12703341a 100644 GIT binary patch literal 4287 zcmZu#WmuE#+aF3xOALLGcmyedfhbbqKsqG{($b7{f;^-kAtln~keJd9qof3+OUaP~ zMoS|l|BFxWm-pC?d-rjFxUTCy&tIL3(AHF4a_2C9j@~SNLH!!y za|$8iLXNa7UV8y;t1A7U1`eiQk=aJI{HwntT-*zpavi6fN);QknS;lu`BK9F<)WG* zQnk^UuV`$3a^7FpCvv-;>iVfK0|O!BIO8}~?9a}pec8qxs5Mmx9o&a2-F2OuoO1~& z*PTEIrwaVY#~A{JaO=X!VGvJUGP&@Q*W0*=^K)O_u&3k|m6Z+7IdObzkM{QW-S<~C zz{6R~=lP6JE)L>*{2qvMU#PmdmG$TlaW*X+tc`|8N9)(cDq=$DtRM;M6rA57yr~TE za3XC{?vNB5I^ZwGo!GFnv^28~F$oE17!8}~#7VunTy<4dR!PZ#1>1*j9X&mi*MeGp zTGEYdybTU6cUyo9zQ7Lg5`KSF-&kMY*;$a!d8Md6*xgO>yZQ24e*3C;P*9Mvrlz8m zRd&8SCu!~=!Ev)fvN}&Eo<~E}u`BnOiG?Lyk{CW~e9)KBSiQKo=ytqq>buu{Z+_RC zoQ8%J^5Ee^tB&_fZeCtt!NJ$Fv$J)@dwZCry_?6jf2{=1WXf;=yy)y{mYva+%q5?S0me?iyScDyxDGLWmS(- zmy?4?c`Svu)vT`CGt<+zs;a3WOikHLsvVj3_xG*0wzi^Rot-gky*M0hqS&N%qR_C^ z$k_PSP0DvgIXS^HJ_q3lBcrm$M(MGiKfeR4AXHT;y|yE6-mCcWL)id<=8e=VoX0?V{r1=wD-FqO$10Pcr{?LahZQBvPWGu(w-t&1hKX)h6kW zJuy>wDJLf<>*MVi>-I2OyL(!n^dvfmhvUFYRn*r@*4Xqi^U#qS>FXzIo}uc@dSJ-e z#?&`&-nhefn`x-2Z7S^sZ9xrG?lLe#p+6vH>+6o0r+SBVjtw+VpFZ83Zw+=d-{2Au zh|E_`kAl5U`?w|*@{!M)iHV5{Qdm^9R8w7BD;6ZzLV4o`tF`OL_82xP>_v5TH5DXY zHLs|uDq(VB!VM|)-`*0%^_EYvem%%DeC!h_rP^tnziRjBXoaB$b5U<5jD(?h;*_Bf zp7?GoGFjMsfy(G9i-T{s6|LuZMaB>o0U|_JYvm;|?XU~j*ozkHXZfK!p zNg!A(Hn0mH)P-;D>!Uh6JmeJ+z)w-UgKy7`jg3J9F&G|iAD_ja`MQ7hdWGqs(D2;c zyVBk}5Qw&p4w0v)r?aX$|d5eSKfQeh3h2>Ev_+aGpuPK#o6=zluIW!PLylCC8U>8>il|K|lv|ZcW#6CaUUO!PQNfy^|o|AKB2*5Iji8 z!C*+EVDCy<#cWq!4S?(XVn^hki{m+ZX68_en>_P}8{^Q2&d{l;DQz>ef$Bu%yO2Q3 z_E7g}Z|P5MCvENR?#n$)OG`@@JqdhJ(U;^InVE5MaY0XmNn59K0eSOM{?zNFG zdxU}wln77Gz0sByxqoDQer6E_d3oiuwdppuwy1r~^<+}z$5r{XSi-=YCCtE#H(Wz01-X~v38$RZTpj*S^q z)z;?Z=Toq;vC%~+q=;BvOA<1D&mwG=m7RU9H(6LoL4i1whOOWzgOiiOGc(iO{&}|%4xjh^XJb*a{-q!ph4L=In~?a z$36~efqQ#qp+R400qnz|oDqb6+bcgQ640t*40b{RVcD?-H`8M(N)I2b9*ohL=_ z^6;!5$cVcyDo993aBy*5i;0O**3#-)8~t*HC&-VUp0~xt_dBClg98Jv;5`qPxHSl9 z7V+T&oe=`D5KJozfvBg7k^s0H$LEKIk<}olL*MMLT#4jzPhyI=lR@(9Nap)+M@N3p zd-uI1mGje$Qa2Be5r+V+l4MB)0%7m$90G6&gqe<=y|m2S1l@x!EE#Y8nt;w;7b5~J z6=cFI3_+`{qsj?`=t^*CF)1mjm94G*qs_@2k@znT zJZ`54Ym@|a4GsN?0sL+XINmhY{ojq%)%k(X=Vb`fz9`t(&`?W~u=xN`+!WBFbXh-1 z0Re$gA2z+FIlr?b7$Et(*8m@VeSJ|5;|GV`7lvWUkI<8V>HL#&3f zo=%imUI!3!Ck$i?4LVBd9{S(DeY@P}&=H4qzmD&UC4+3vHM8qt)Poutq`ZoZ1Un}y z?G}Fjjs;cV6cuG)h#=O~)b#1fiEL}5d}%k=I$7zpb39jS>EaSvQ*(6LoOEE=LNTl# z8=wE~9SMLsBuEYdN=Zyc=2@#-ApK^KxcTDf_DfOL5I86J);LdQyGd2r_TMT(R4Q&c zX@CmP69{28y-5qn=KeaV>f#-OiK_0~xW{@125pm*tdKI~^g{_r$!sh(rGa`h5kQk! z&b6d47TTXz*Wmlg}c%|Xj2 z8sCVis;cg+|4Q#>I8iQ>f_Vw`Y8x0BU<~(+D_&AuyLRmZkhU8vLM=F4V{c!%P#&L5 z#FwHX(tBF7N}4gmiHRtvNXtK$Cxhw4{93tbxtLGyqWdA4r=m$cs!~|&gOmrMf4^pB zWhtFSxKN1_<(23WuNt>yf&JM}6P|sItoxEDR^ZYAUNbr?iv#E#qg6RHA|j%!tW4W} zbaaFf{_5%BSm!7{&H<>Gho@&;LP7{oW4?s0Ro8B{QCO)#YHRM;~B3XeSJSAgY(b*my-k$Z$W!L z*Vh}{tR(=1gt7aR2LuEF;GhLG+&w(jb)-G++_?;nmECJsVn1oc`F@z1_C-BJrjd9Z zKb1VR5%gTic;s*yVn2e9%ddG(ub;;^)x%X^*kD6HWwous7hZ6D12Q~3JimXEBK@WU zev$dYH3<{-&tu|31C92r={ev(iQ%!A<`R-L#E_Kq^fi=b_Dq$-=*|fN?c_X)!}VQ^ z#TJwfJjpsMs9lg*4eo;Krc@Lc6tsa%;6NdJ-O0frsIpS*XnSTl&!-gxKR!ObKY#GC z(YJzqDP;9GQfsPF^QVVO5?w{Addeis8Dt zHvwh?LBL#NL&Lf+CG($85eIJiBdX@+L^{j7ew!JYm{2KYuT zE^5$4;^~=JH2(eNGE}pfA*!Kvl8*;n0`}usn)jT~Tl$XKH(v_5GY_Ahs{5tm2zPhb zSP|m7mzNhv_H;r*LMc*SC1WY5#DoN5H8r)qH1Qk%Dn_-0Qs4HGMvtWProNU(AX2AH zSTqFuY5$R+o33^3Y7Hi9P?tV@W?;aa0&8dKin*_#Gpx9YVM04UF#Q3K1|EY%U4bWpvoq_q5DM>;J#PQ=U8O6}8^vhs92`7Q?rTYx!WQ#G zXX7l<>J%^{Q1HWqn&qRVSBP~NFfL5gdETR>q@3U0jv16aqXH?|hnoM@ui4ocwPYcX z1Bkfd$U$_ai|kNVQGpqwL$4;mo5OnO;u!F_EmM==gM5ta-RfR@-VS1*h3{?$3pU_V zw#2l7G)V4B=))Dbd@l~iZ;i8Tm4wltzB#mW%(pfv_KW&pRlRPY@3s<*T{2p<2Hjo{(5r~N6+5faY zk0CO_h;kL50JcCZGOBnP(Y7hOGnckZMtjHN&(4Br()7kAhzwWObCo*cyXW!vVBqJD zMV2f3R|$5!UfRNIYofe8i?D&zvpc03*0Y;pKRA{gogFd}@BPiMfxCBymJ*OI=`IoJk{0QZlJ0yT zc<+7pzFIHtdZP;tGiT1(XYVh5vHfIaL~mfc*?bib#_X(>dU^>w=r>XdvZO#<|fTi zGMac%CF1z!6NVQmtqDaaWpo?um9AjR1r!<+1!O#DqWV$kU&4?V&WxS$CF9S|CU!oB zDb3^OsE(7Fl`fgB+p-k(Ye&i!^Br;QbTPA0F|7x;XvC>tGzi4K?+UgT2SymvSI!Sw zJoYdCE~G%7|8`@Xzc|5-Pp!zHQ^EF<)I%Jc5K?{{*%y@OCw!`J3LrXgs*Q*kP_RXl z@?c%=LsP%(mJUSUE zYZejoe?O9Xo{FlfM5MC=Tn68ZtoD$Qc`#1Ib!=oczUEQ}P zCV_#09-f}W_wJcVD=QD39PJ$)92BT9($S?a59QBn_V+9B^YaS`2(Yl^Z*E#>43CeW z4yv2Rz$-S^^k;EqRaNZImRjedNEWSk+S*?XI`7fZ(P`AWp1F8Xpk2Nslu=yV-_s+@ zNZ8&l=z8j8X2$vy_xjbwt}bRuN_QG@qaw$>)t${vodOlfDCQdL<;W!qf+I0g=0}fu z8yYULBnzg=52qFv7e5amd}*DPogE`Z`|kNji;Al1Sh@KXK|*XVw5QwK+bwl`x+3QR zWPvL*GBT32TwYNT&u8uLa1UO0?$G063RAt*(D;SAFG+J7OB}__%&fs&R$OeQtxZ8m z+0fA;^)Nz7Ny*5_h>(Eb#*G^UL`2Qa%`-v!`}=6<=$zc#++19Thlf|u(Wfkkh={IT z3s5h6=hrm7y87;_XKzo>6BJEicOpFD#!Ry~N=i%&6ALRe|HTeGcvMsrKMzkFzin`q zfr*KRtSrTCzuS0ts*FmGj#d5_PrEwV;JLfITaI-&qu(Bxnx5X*ESo0j?Ci`)n4OV< z$r2P0pkAQkwG=vK#&d9Rux~Cek0-Ry8b-I7A8hpc;Bz}yJo}Hi1B8$QD$C*5Y)p3jZl$Upt^4pXdrUwP4(6eVL zWo2cxwPY-u?Cgy=R#sNH@ZK{U8yi(sRdSd8q^c@M1%-YH%3DIx($Z42eS?F9%HPxH zHf+g+eB0;bIuDMHCd$oIK7FchY^0{AUzqQVJvljPYHB(?JyjreIEjmkOO=dTT3*IO zyG2aQfRCN|{4rU`X|x)R7L0kZGswG;`MId5R<&J0b~XbYolmP?o<_xH1vUGvi^OJ? zx&Ga?R@lVEwLqoa~Zu--A@&Y^2E){3q7_IX)){T=hy0iel3Gf;iR;*^ae2( z36I&Q)YRt>Bho&9o^-@#J)%h}_u3#5&ux@sA%rhKAnq6K3P!pox&Mf1FTOW-BEnB`GN>FW<&CSz-CR#CQn8Vx4po3Qkv7m%F>Wfq}tj>Dz$7!2ZEOrP92R zkdV;Om)hE&3JT06B-*^L5pD16+&ZrTkgfqlEH;*wGiE&SZEWSC!NJ|_?KpPBo3*2Y z6cnGz%9K@|w2h4&7kZLl4Zf)4K*7#YEAg+jf{8xb{i9nn^1Ca(%3&ufGc(hF^U!6Sj92^{S{e#&%WMl?KBhA62>UAzBv&Ft!{J&>sW$&Av!dDQo)HLE`{5Dde zqJ}$51MD=smrN z83$r%Hhup>#@5cx&ZkeGG7=g?%())+C1QFktgHyvRoC{6juI0S8ygxLnwV5uFAuuA zU;0cVy>pwyj~~e%+pQ1PotAV| z1_cF0v1sMx<$eE6S86gMq?MJFRG`<2dOKRGS?hF=TQ=^{>c~TIF%xbhLaLEavJ9M^ zPvAOJ77hl663)&wF#ejF8mS8Zj^4g|-_94;;F`WFikC#j)m5-|3PDMOi#a<4j~F3F z13$Ng24YguIWHDL$~2`;@TF>`9@Gec1aMbtD=SPi4*|#Bmi+cP3r|nal;mVG0SB7f zen0y9wl+5v(*H>q{9Ao=Nd+9jKOHQlCx+{bL-?;QE*6xPxxy5gvps{HjLD4`aJ1=7 zer{U5aW$lwfq`LbXGbwU&0fv(xC=&!AASEIp5Sn`YVB)dV`d$)>+0q~yz9mpdXlUi z#CPi|K4MAO8F^#MF3#(f;~!4Az<_mS6~=tmK&Z#^2*lM>eAAV*4DA5rJcgX z$)$xwMKMzIrY>8=?oYlL59RGF552GsNgHOF_8cuU&4;#_Re9NsPd0HM5!|dQwzIYq z8JY0Rr?$>fSyrKVuW9riiIbB0=qvfYSBe8_aG*Ixi)$4aD26K(87Xq}ra{r4%f)qd zu2NDRRcp1`>FH%g16kj`eal?!#g}J2yQE=`DC&bW?_WQ<6Wl!FNr9;!Ae`JFc(S-g zCv!|sD2Xf7o#0ne{GH1&NQ`5+r$)H5d-a`7Z0IBPd zx~Zt>7W%c}t5+>?h0t!DcsO#@L`O%*3A(yuIVOo{yU;*dYEe_8R#y03_ZuVJ-3@to zo?v33k#==OJ{&YM##2-*QB*2bQY_)(u!4i)vOUW8#l_L3rCV`vj95g$IR^(a+3%Z9QQsTq^~*8rSLa_7iLC z(Viam_aBmy@={VN!os}D%An$VrKF%o@hdl}Vj~tVLZxIY#8u(X=w8s19vM{OP&5Z8 zr-kL(Se3FeJi7WQGd_}19FoPeozvWkV{g|c(0}uz;KZ+nhU;3i2yG_{WV8u%u*k?r zyU4Yua#ds^G%cvm+;!jHUS_4vJZO+p8eA7V+Zrk?bhzsIL4x3yGgYXVgoKg0`tz;d zv5t1bqoc8%iKg$2`CrJ(>ux$;Ghp?_NqfY37JUT~h!ysa#qoZMXox>22ZtCcTnvBW z?-2oSc%=~QGvhL7*;zxTrX?Y9KML|IU7Z(>4V<`E66wA}HvzJd#j!uq`RTv|~ z!usGF=JrNLS@H4l2?+^NQOfrAyv!!1rmoAmWgYP9?Bss?Q@GP;acQa2bfR{yJ&O3w zogCGo@2#y^QEL-*i4>S|I@uSn88^KndFa1~&3yG5nwop7W6N`MO*#dU%$g3%gG>W+ z4|hYy;|fVAp)kPE{#Ngbii&>ihre=;F&Rd$AroDvzxfr^dT7(S&zO@mQ^$X0PEAc^ zQY-e&lGoJi)MGPeXcPI~*0%ILh zJ@xfZ+@ApYot~bKWK@Ot5kpy-n@?F(z#sr*U}0fFbC=63E-ZvlEy~Dv1HhuZoCk>{ zGyT@wOh-?j0gqEq&^t85O;3**RaIWDqN4Jv(pr*{(AL(L{Z62__f-_lfz#>n!Bz;l zpbSb+NJvOb%-6{|%SWf6yt*3Ved`WFIXHittP!@RSzQ=pQQoJ>{C!OZ-w$)6xg)VpzN_V@3ZW@v|)NzlK6sbo>UhbpS5 zV7ICFDIDwSk`dTK#_Y8z;Ar_t1on6{tc1l)#ui&@4_*TkNmD)(B29 zNs1k=x*latC!DIrJ@5cDDekKSwW<0+}$XHMQ7Q0<>Ev0ato~O=EU7gs)-&GGlSH^IT ze>eW&t0zwD7M*VA)%-VE$mdN@uklo>LYu8-Vf&}G zwKXQ?O&?ErL!&ouws&_2hlXZSVP*H-gM)7h!J@VR`(t2OZp0C^vb7EI_pfw4LkeYN zX8N`2{rvfJx^16>0{I441y6I9i5Df3@{0|>G;ap8VfV??%rPdQqMAA zCq~Um1ud;a3g6*jl_Xg)rs)m4?dE=}1B(IRkusD?vKbJ=H@s?UPTqJ2%QU@0Ji%z5 zu?!Kt+g6EBO6t5Z-2~tuE{=pYtioch?RW5X1bc_w^p&eKg2p4m!>o4#ySii?dfY?q z>nr7H9GvV;OjKAlcXxM>jyjr|_5A#)#z+X{a2k6bqpYNa(?ufjPdf}6iYG9&OP4MY z5)ztl9kql~12KZx{>{wf|OTL0V1&AF_- zjf${PAVD{-Ux#>bJ`zBIDsAckcp1^}~2N z(z39yaQ()ODT^g-(K;tar07)2jlW9C{GFYU}abT$r{~#g$IJSn*ZN^-xd1j&Ne4PNK1HOx0JQpP>Wvz9J9^70& z7Lu|e_vQ_~XT$o=PAUdrn+WZL2bo1hVU1I07#MwJ)LTmk*7%<8-ptVxRlMe=rn!z7 z_7oP3B6t5iS3qkPn@Fv{oEy3K}Sa&B=m22Hg`7mBKs;8JifnvqQll3uEVyMS9E78HhT}uPm>6I)9 zsT=#zSDr+QaoC+4c1JNs5D_Y|-MOBr;E#LnuDfJQkuNMxXlO5p6C3er5~a5NKZa?t0IaMBBe^ z_xUssQJ<4)v*CU?OJnt~6e@8k*sXPawiN_5pcSXwrbr>*Ckwo-rhr9Qv`&8u@AQsMPGk#w$9g$f>J1)9b{+4##|m_supf8ExVtwP=hpzO<>_UTDgJGsm}V0LwQ6{H zWulH;t3Kg2gHn#&*~uPV#mktuQX@`^tkBPPa}q=BhU3or>wV$jH`*gNFg>){IMXV% zjL^nkB06q|Jt|W+F<}%(0oi)@?j0p1<#ub6!NclySfrD~<$QU0d3H87+B~LAg~PqN zGXXX>wg(UXnO3uZ8pcIoZf*`t8gvepa#CvQF;3%C2JXF@Dq9>99^C0^ogiF~I;M<} z*2muv(eba;oYsG3wy7{G0nF0UB0pVGilmK5rfLG|XE~UZzq+~_C^HeWhKib+1N0am z0YJr>)JtXSXhgzNcA=TJS+r2Sf5^Zvw>9;n=;7Y(?)UHCe~ygYB_=incBifFR(nl~ zc57!y%XMc!+4XRdP9vGIF83=*RU2wp&gJyrH;4|S!^0-y)iI4zAa?Fnu!Q-)lM<2{ z^&`W5FRP#sURt`FrI#GX{HVY6=p(zibB-xht11 zgM_o*XIgi%3zZm}x)btT0VpioZ1BVYBvoZGC-Lsxs%0#X{pKwB*}mv;uP3gAq~y_d z-wQ9HsY>f*4-XGMK0dP&0B}G?1_uX&h`B|Cg=G^t!+m{yH#ax4mGcJ&1^}QC;N$m1 z`8Q328Un1Hs&iU{vMc2$y2 zed3W$Z@i#uLYu0xoE#h06`{Rst&@lM??0! zwlT=B7c0=>d)y-1sz)$CtQh*urY{YEQA21R+e6kn z*U3W4UN?Hfv=C-W(K00JDnGxiZfUuNgWR7?JUcdg{hBhMNv+OBAf)+dAtglQpqI;w z_buIqA)CN$41E-pfK zT=|hInPN|=*P@a698{$g>{<1I}|1%C-B`*S6QPo1Q;^4)To@ zEuN`r?p0xQ>#A|Vl9QL_!j1e!9uyTvI1Y|J(7)K(T#hF_bLQIda&v4{)M~q@s!jhn zaCzF0lDR||eIFBLvv~N`>)O6eLKLw_weQr_Ypz)5mElLnqMm+;E&4v`uWs2)){bY{ z>aO1nx$08B`&0OCZ?ntDNRnhcZK^X``^BrR&sorCs#R|G zTBr=CKM2$-A0Lbzh1}ncl$1?NvmTc)Scs}qM8p{*p^i^4hL=sx+2@837 zvxQy~5|fnl>`Yi!HyX@U=kAq8l-wpH1S0%QfK=T{R!fWJjP6J}ma8`%>Fh_*v_#|i zFP8+gzw+zu{zmg?T->0Q&CNc~D_%LdzuE4*_s3?Dw6WP;pnG+t@8?HOV?BxQgyh3N zf6B~{bhU~XVDrX5_|QjKt+5__FD(6q@!pDRa`y6mD_s=1;OfiW*X`Q40s@}PgC|Yn zL4?6b_U7QfWYGkgK}k_N&!9pQCEYfeND}a`?p6Pkj6*_ zd0pcr3Et=y6s&csNUm~3P=3zsoZaYH`6F##?TUT_6e`BZE`=4eXvz!aWhXf^^A_1^ zfl;>X%F0bj$}TJ{$;#SU9ji=BdzTrm z$99(__z?laWVw5LJOjHvNi>fW(iPH8H@??U;=(UjYHtyB4X1if zbNk2mxWbOw{Jb~(KkHKSx{%hEm-w=?)QE|z%zl|I%GtY~u?qP%{U|7jH`LYrI(NFP z2a;w*Uf!VaDq-|h{BIcRiOQ_}Qynu)SA#{}aCM4;kY`SsR>h_|(*r-`+>?@4Rmwi4 zHd$E|npqTnB0{?SqQ)&A8no#jEFBsw)vA!A#J7=5rSW`f#`7J}WA|82Rn-yD2BN!n zc?VD3#MeFYgTahF-NJS|bep*)OG45i6K9v6nR%rD_CqHZ+z({FOq5~ww~`Xl%TKGG z^xPuaYic*bl#-NZGo}WWl+!06%Jd^y^>k*=(cxjK=|tC@1qeG6AVnV@I%xC(!cGZ6 zZtm=Gg2-%Tbv!z8>fIhfCSYW2oDC3aaZy!C$@`jl0@FEUV=n?=0D}KZ;*l!bd~hdf zYh6@SqEk|+na`kr;|f8B(TGQehksFFj9ZI+B?v^glY2rK^A_4`W8))`dL>fjz!lwH z+1TFZU}aS))WhoX%}&;6LjH)A=X%EL?Cs*EdDyOXy4l8%FYBqHsF<3RE9yR&gy(IXh&f7K zO^uJ0^}~k`+6D%+5fT6cfx`s&`-AxH9}qAzGqWM$Aaj01IreC3x$xtulr9<2b6sc zj}ZtA#`C=ZFK=A<-zjYWE5maW{Mq*(Wa;6Fp?8&EPAx4Zq*VBinn~#U_h?yZU^R+} zc#F}13D(ilQa|ywJ&NUpv~&}J-clc^@c4AxlxNNfZfeEa4VOub=oyu3LfSs2goWVD zR^j8};gONapl18hUr0+ySy);shIF7cVX!dOv4f8_lJlS7dHOZ|zj&V8!s}pr{(mq% zPlr}+Zrk5GJ~=T3tPgD)7gziB>jr}&u$^>tbP8eevTiDpYgGuEO+Jy73{ZF|EiQg5 zph*Fet#=^J3+pV2amt5?BaZOi|!5{J{*`o9u~%ck4^uEgQz=eJK++cERf z<^dnyVNcStGSi7P139_>k#=E7^4IN=;kR9_w)yiBkZ)qQD5k!F0Utj<4CiA^4A@3Y zY;0iItB+J7kw`#z;DiDR10N5FThGuCoNj2iyu8fvs(QGyGpKP&&%ofJhNimuXkVXY zR~&BuA(Id$IvN_taSsD<{*M$4g{Rh0V9VdV?wy~{BJf3)i%ncy9K>ysn{+%p(Y2&8 z%7!_Z7Pq$^fx#cmjOh`5;~-vBQxghCV`HPJDw5aR$7jT3w?MafFkefMmudRAi0` z^jXW?{1J0zPR{n$mTrNHjEu}szLqE^P>`v`h%ZY^MzmogJw0x?64KHoMMZrVhTcOK zmS%#5AtDDyN5Ig3R#pOog33UGWo324#lCry7Sp3adw67I%1RoK2MzD~MOiBn0*DG3 zV{E((@+UPFl^E(e4vy)C>q?kscD%pg=7u09j)f?PEh;bp&~on6(HZLNx0*6hQ6*Pb zAA?>4N-RhVAf93-{Wla;V#>b{{o=vX5`mo0kUVD#c>wYj^c|4b(+!A%gMyra%)=GH zZi2l9F4oLdM#M$({D$*BW2M0Juu=_y2O;Im2!RBwmq)h%hmZhMq6fJf4L7RZI zRy*trpbCZk0Y9!O8vfhaCy)0|zx9T_NXuc}<8UTmjv@wpPe8D<&`S+Qz=c(l&Zoas zeB~n6RHczIg@wQRtiZC?EPm5VY+Btgv(eVp2F|}?x(N*7ytpIK4a8jxIS5+A2XJR? zufiLr&!kZgvMF08FkutMu3VU2n-S*U6^;5xBd_$#>>Pgn&$f5Lwz4BU_?%uuU*sx# zf-F5)A<0qo$71jedaml4hr()Rc-UV6T1 diff --git a/tensorwrapper_cxx_api/inherit_graph_6.map b/tensorwrapper_cxx_api/inherit_graph_6.map index 0ad538a6..4ec84434 100644 --- a/tensorwrapper_cxx_api/inherit_graph_6.map +++ b/tensorwrapper_cxx_api/inherit_graph_6.map @@ -1,5 +1,7 @@ - - - + + + + + diff --git a/tensorwrapper_cxx_api/inherit_graph_6.md5 b/tensorwrapper_cxx_api/inherit_graph_6.md5 index 7bd50d95..febc82f8 100644 --- a/tensorwrapper_cxx_api/inherit_graph_6.md5 +++ b/tensorwrapper_cxx_api/inherit_graph_6.md5 @@ -1 +1 @@ -bda96e7c9410a85b46945544efc2f1b1 \ No newline at end of file +118bc9c25395cec2ce1c3bb9b4063338 \ No newline at end of file diff --git a/tensorwrapper_cxx_api/inherit_graph_6.png b/tensorwrapper_cxx_api/inherit_graph_6.png index 9754d7b7a63afdb2afe6b690e8438cd212b09bd0..3f2ea15c0ec7cdbf8e3601f80c1e06462578d447 100644 GIT binary patch literal 12220 zcma)i2RN2*|M#sF$`;wOB4lqOo662!AtSr&?ChN+I~5^&?=6(Q_loQlve)~)f6s3` z|L1-F@9`dW+}yaY>pIW#J3iwZtfU}=b&d2I0)fDila*9KAW);=dkOTb@XB)V)*rrH zHF_u`iMT-i`%s$^jX>N&$VrMlc1hZpa(#S5<5=|EnXmU%8J4*u%9y;a^nIV;Omw4P zjMq-DrqU?mg&QxXUb3(=SWJwfVmXiFi0D%l$|r_fB#ba@h365fByCpJ{Aq$KW}3k7G^45EL^KQUS+oaD*jE!_V;q1W}%UPS@W$w zuP&Zo{(}CECQEA+txO5tb!ywvurN&B$`?`-hJWAl8c!wu7qJHq9>}zc!8KaLNXD`M ze!^!&UBUm~&ts0ea(CzFcY%ulM`bzmEHr1Y~D3 z6S3+B`Cq?jA#|g^F;BPhQlVzf20MCRMLd_8g^-_mlq_9^`%w`rMsgk=%Gc*InuSo9 zx`6v(L74>njD>}T{pD|S>%cxHhw}$PFG6;7Xnkc_Sy?r!9PYgG_2nrP=$9)otv7x8 zw8Y?kn(E1FcD~)uZ+O;$VnMBrLt<$iv23)rZrz8i`1Jhy_wRbVY=RDLXVm0}fg3DIEbPMWdAco==iU}UQBYVYmakvSZZpY0S>qbb>~{S7j>z#c zZCqU32d|6sI6hm-_o7~`#T$ETBgUtP+sjkce5RdoK8?O;_6uZuHmH$p5}uwSh}jVX zFaM7psVyum3G=*`d#Mi(553#weR`IfTU)Q<;o)&IEYeDcHB>pSA@3C=Ny9H7@T33p zLyOq#0sS2gDQRh=-Vb7voIClUAtAH#^OvJ!{S2D}ek}K;a-Jw?C3kITsBPT0zx8)~ zPN^oMMPXA2qMDhRt&bI>g>h^;rGNNv>*vp(vr8#n(uRiA0hlD0yu7?*KdabG`T3zr zN=wguk7hu>cCBf$(!P;c!pVuZsku2SE-uKd=RGwO(=|CcxyhGYX5ErnS|prYT+h#r z9fMkoI+KMoZs%>)Ur-vjZ(q@`aq-!zJHf83tYl`?E} zkXpq#@@#f~%CWa9sjB)Kw?!Dv)Om1npxoEhCFixB#tfEx$mpyxp&vEUvECys*iks&&_CiuEhmTlv30a^WMFC=%|FY<#c%EQc4(Bvh+AkpnacJPq-`xXR*Z9&?Q+=Tl(9qGLwnb9K-Z`0=IS<&L zZUo5ljsURC0PW|c5_4A`1ucohGQJtKe zg2KYAwnZ!=ik$u~HL?c-tiG~1l)?x^Twz0<5Hd6sQ6{I~mw$Gm3A&8ER zy$MUR`_XhIjPf3-YWkzbqunKCEv;Z?jXZ7=$u|a~^z>I06cli;`Oj{&&$-R!eekZJ|)qm z*?)wW-H$bcXvs5zkdTmDF%R%4D7v~n4t_9vk}l@yS=UKxp2)0GUaQR+ z|Fgm8^7hWcLt&5O$LV!fR|oIZ8w^>a{oNHDL`g{`IeBtOIJw46N!(;7~Xk%l;$i~)oes)rs9Z^$LgG)#_^plCs70Z!~lvMl{ z?k!r{%YA))^6x@JLnU6m6l7vzDzKj5m8HW!JUPi`v9)%)lc+h--Hi=t*8&wrSw-a) z#CeWh^*bH)WWj}l?5d6XK~)eI37tbyL7WbqC2ST3{VM3~q6t^G9$~L^FmYChxz#g8rUo$6wT@-|br{ zym-OM#LR4HW`;&ZMTL6h%J;X~S*o7(SrgcQwQ2N~fViZeKcA-0T7P<#no2uS@8y-< zfe|m_A($xQQB~G#Uiz+;3KzElVJDg@9c~oHp{}glC@vup|M@dL7dQ7))eHrbD_5>e zzKn>7uxbv#>Kqt|-rJl?tUZ`^TZi(i>uP1iQe0MMde3eDDJ*QgHJnUW>-lqz>zJ5N z&yM$uZ{NPn!pIl|zkXyou{NA*Oi4-ki19|z%0NajTqBZsroiy><%XS|9b)4!lc!JF zqh!BYSXkW1OL_bDYq~;mJA$1uvMnb!cWkjMG5#@A%oqEO@zTz&u5jdIgp&)r(W`M$ z-gx0S4yA>y{`3vRIE9 zWU7mT>+V!ORE$RydbOff&raV)dkxA7j0xDk;b=t^z}A(lT%iJgq-JW_CN;p$`oTdIFpDh$*J%n%C*z>oRqqrUKe1O zCg@X@)^08?1$R`_3uGcG3!9q67gtukr$35siV+eNEJC?_wcueaYvK5~_WtRSee2Th z81#M;HJ-hN|G_9@gR=e)rCgV286|$T4?i7T$U2pQg zo|BUk2JM&=4&c3rN0xe};08Tabe4jqT4$D^q1wj!(o);x75!Hkx>yRgvn zIX`VjW9Q%ogprF@UJuNN%8`HIkF)=Y55)u++ zZU;7-_7PN~?>9yZeRb6Pj(3cVjkWIIhgDmSIkUh`8c z-9_#o;$3v~Kvva4Wc=`^hNHvYxe|e|?Az!)Mux=vYFY>nQprzAIWhuc?o$-W(SQ_P z$Gmrnj;e$N*?2xzp7wrAl12U2+4(g|z+PKV0sUwmBVciH5xNNc@9paob9EKCcI{fl z!lOrzDrT@SF%g4`r#8mMzG-Q6Il7hjNW59_1jS~m>Iwokv<1+Ge`zUCxlOa=Z`d%m zp8kH7+qc=+*pM&;4iAbEH^juN-KCz?q9S~aJl$uU840JyckbM=d-39x5+f3@X=)PF z;RknemX(#s>+|WSSN_qEZ>tRkR|;f}SAO__fR0~KTs$B63`qEOVq$1Q0x8`4V^tNY%9k5(Aa>5qZExrwDm{LTTBsS;+pFZ_=GHto zSTbf^RayD5riL7f!_v9s{KA5NW+r2dqLWqTL~k$dB_9L{2??|vn<8jz) zC(6WVq8esq3`|@tCzv@o-<;S6o?1E@+eBnJm6eqEMMmNfv1ocD@f?(=(Mo#;h4;c= z)TegZ9$6k(y1jWo5)#@`s^YAptT3FKw5~6JfoN$l(ax^E`^Tm@)hFfTxQDkt7;3XJ zlXTUJ+$lO)_*_*Y62$Gg^K_H5Y`WIXxHFDJR#9=pNmDyED#`~4SyrjlJTENTKPHBd z*Jcv^%j5BGWeWvKNmLhMN_>3$5{eMan>TN+PgQG77;-DCss@&nxM|k7hz8)y1g(u+ zFQHJ$&e1NtmZ6vu;Nyd$tEY#8z`(#D=6s4?Q(J3jWc2FwYg|+`v{a~*Oyx^IexT6O z(jvEUbd(r?1HbzryPr5U;+B8_iTFocY;0^hC#L{_^XNzm~c^g7k- zn!6iA@8V*Vhq{AKn_5&QX=!`5Ka!6vO!2H5q2^#3 z7-CQ#BuaQ&zpIiV>i+A4pU2*i7O&|eR4yL9)|{NC_{yUfWlq))(4@v{@+k&ym;{;J3BNGhw4&hN~n2D z2q7__4LL+m02Wz*f!7%!^rtpJ&4%XYK~kYa-*sD3nF8==rJq135Q};WzdYCsmk7i* z{2GL(S#CoCzz8i$7L|d4LAT05?sggEv+@5R=8+e=9W&kPK(h)8*hfc48z5{`+;=ea z>)glEupAs6Ih@utYc9@DD%=iO59%O=A#D!bMXao>aPja^T8TC4fW*NEKWOCZBOldf zy5@U~nz}j-3kxQcVRlZ=SMZ^c_d7*JMFpl^q?%e~B! z^07H!`kc?RC5FzGhn?ETO@?!{DxS|@UF=E00X!B?TE6IF9(r<+^5kTn%jM$CYqlAu zzV)Mo#>Lh?Pe4LK6|Z$7ZvTs(lzK^{Il@QDq~V3e_4gfqN4os_aO3`&mzJYLiDwiW zwQUTat;O?AU7~la@_woF(m9$@eh*_`+=}5G9DdNZ>=20CFSa@3^{PiyG#HQeJi^=C z_WAE+#~Sw|(lC_LQoSV`3~^c2an4Q0tsQ#b?QzM0J{E` zBqumBvJL39p@~ULZEQk9NL(DTuLcMi=a2W+_@B?AMo``x|3qAO zaqi~6-Ez}qd+v&9SHhJKo=TRxi(Ri}>Cn;98{XbgRZ>xD%8h>g+8YuEc`-3Du{a^; zyv_y%W8h^iU5R|pfk+9v{6YW+sIdDX9=!lUNfeYrKp%#a70)M67!=>58e{VC@bEjW z6Ypk>s$b0xuc%&H^qvs%FtsjJlIeq0b#1s-<3UOOuP71RR!elaiAQ0kyKXzK)9esP5rCH~*2I z?#;}07oVtMXB@iAOB*pOD^d^>P!O44lx<(}iw7;fjn$x~Um!K@i3mg`^@^TqydC_ti@E42S$)Ob${9zPAMEM5wt9}k=#E+e1{(Z0}j`( zefd!_MdWbS7sqaQQ63tV#0K#@R=p4oXowvBTGEsK4GEB3i0*2m zB7pxR6&4%>G$jsRt5I(Np3Re!x~4+@{{H-)r~FVdDzYm`%ldBd@)8vm7EZ2>6`Reo zc^y5B<{j?qYy1{Pi-(W@3NAjM8Y%MX{d-E(ODND-e(&x5SY2(`bEJ)ueGRb*?dW-m z7qBIeU!(zVLsP2kAtEOa^SU^hnLMjrbvZrcfb2=L&L)+)amLmFfgPTA72njF! z-aM1e=5UaTkB_%zV%S*fN)#j}#*|j-W!0_tMRwq+MGxO6&37|kP@L457$Zr4PJ76*^PyTiQFl)sKGvVM1Qsh8zz+q z`Ni=_eJ?OqkgOy$G;R(L4^I|hT}Ck~)cn!85PFj>ptzXJ$jAsu*OymUd0k74<}vDF zPy33^6o0P{JzT6^UA4%gbTld`DY3#2&CRur9>EXxbF(%wYC4-{f6}jHYYZe8P`OWX zvR-u2RYOC=px|I1z>s2MC{XeuuUsdxi?;uqmNwhLRxb(J>C8MbT4;=d;N|6&eej^E zJ%(9XTl*Rs8X8iD?dywj<4!$oP?yl%-`_{}9C8YZsMoI%%*@Q4Ndg4LW<9O&X*H2| zb_bhNfbJnRIk%uQ(DL(Zu2gxip6#vL*k(wJC{`O(5l#H0$6+S)`e z!X?Y^;yOFUlkQCv>Dcq+MvD->%e+5B-!)Ob#TgcsJ{xNgQgJX?n_FF0hMnSGlwT{Z zn)rSiVIA0O?YKYby7Lp`k-R)oRB@hmm6`Zq{xzHo=lO*v)#JzLh#Qw@OP5a_JKha! z5G7U}|Hc!eV;XWI)>Aj@sm`;34v3C}(*{fkAYPaPN6;WUf~Kdb=~8KFDHP|Q=ZrmF zT?_3uNO-M?rNc@6YuyfLcz6gK8ykBE1}q(|R$D)q7o-^?keZdq>FKF9xi4^`)z#J4 zv9TlT?kZTwE@*9yM@$?P!>n;Bvwn&NWE7bQ@aEYzQx%(bAv4vq=Y2SU z*mle+?$-}KgZ*$5+9rc!^xD7@gWl#t)A8ka2}%rysi}TZdL1+aEep z&Ywp7Xny!>F&x|7?J8=n zKQF~F>oKJfIAZF4U)wSDf+dEDN_l6$tnH@3qpcvNM90HlhN!6A8#)*(S+9KCjLzNp ztR~9H*z}3v)YlHr4wxVpGHd3(2s;ia6IND+!?eSrxGuV?z4z zLnnefK^ZidqKkO|s0!WZzBkxPk}@*(Ye_=R*ia88Y;0Khmir3;snSCr;6h1UU$=U! zruJjJ)biKCLEGAhylo1ph&z9o)z~Z0N|5(3DkKIQ=9=gT7(j^orU(oKh>*{hx+%a7 zkTIEnn%O?CpjM6W{_^FH%}iZ5NGYYOmdrjMu&>{&n*Y7BAggHL+pEN;slAVafK4rN zJxMd6p`mG*-xi#j=hXw9*?DW4*VYU?sz3St-z0}|_lZwAg>h*d|F$B;jL7EnRM_(J zeHRzZt0_Icd3g$ z%eK-;5BNYy^Yit+j7`qpo974~l=*t3gZy6glv*U^-ctTjPd=yt*?6R@SM2SL5#I0h zGb&6!O7MtGlU<~J9-0yO@ZGq$_RcX&G=ri|`7!Czc(z9VjWXkTdkyRU)&p&`z7@A| zP`%Lo#rgU98=!B3Xu)*xVHdo|l%BwhjEwQi>Io4jnJI2&fOCO{H-mp>2Ph|AXGNQa zg98sLUL5x`e8|V=U{blfeEDJlI^l)$PMWWBsx%U8qv24ZDtXZl4Cm@V%A$keL&&WD zWW40rWEF^mNSF%BSy*^DvQ>i;V{cDJPe=FU+iU7y`}+aG!5HG=;>d%i1j&Pp4IT=V za3pX7(VSWLwulHND9ZBFH_=h!*bOhu&Cd^6kU?5jmZ=W0A_^>qn36<1NUvVKIw`E2 zdyi6kb;|iV+CXU7iV{>ee>sHfkK z`o0_32(e!dnsG$Gwo!R?*4i90)bl!)ZIvpDp51_Ux%l2;#^z61c!PBT_ALj{5X+rA za+VzYASnVFvds1D-+PoIk}RJhqPN0XTI#qSYp_|o(1F7tR6W!==pcaPS)Ru$`as}> z9p|=K>P~kanwpu7tXsAcpZo}=yC0IUzI~Y*ecXw70$%sfv+iTT{ zt{aE7w6=1B>@y6=00O(!X0oC&M(y$A0uWqGpFR7IiG?*b_(fGqOw1>1YT#Ms1l8it z8^xKK1M59r=V-_^1IH~cwNw?nCB9H4;WhpKu?G%gd*s!Pn3*u1Ggj)NKQ!ad9b$Z= z?+^$a6XYyFjm!2M3Sk%jqmv6ZE-syJRsvw(G z8k>L}%-I$qSXpS;d=;rJBX2qFwsp^Ge_hMpai-QSHdntk0gIgfwH8PMj%&k(r>Bbt z5)VZ~v(5{7Du;pki9V(BI^{49D}>Vi4vR`eH(gjrC~;+Z+0Ht3RVX!g>C38n{+HEV zwTKlU!1ug9);hJq|8k@2xTOqqKaJT zh?Tg7`{er@dinP|neD)EmDSY)Iy)cf)_YPwO8|nl&<=uJC`8m8oVm-dSri~b&%p~s zG=Ne-`|Bj1K7Fd-{BXV!DUH!xqE1&smjHYIW`PHHD!ykbQnkC;T&W?j2*PqEih)Hr`V!6?<_Y$^6+y!>& z)n=A*=4JQ15Q@;x3uG4rLl-5o%{Mgk`azwbhxC7SorkhlJT=s6P*707g_41Ws*uFL ztv-XDk=+rPv4p!m%0Z^3l|m~bf<8UHZ@Z9d6M~A0+5lQ3*uDI&J9MD(nzRpn5C6ZM z^-5QANNqd*sD(m_93;ji<`>$D_PIJTg6p*z_ElRR;ffkH; zqg)=v5k377b4=D7Bb)ZQsy{|J#9{A{%qC9Uq?bGMEsmUwJ^c(A$##b7ghA{GGcOEiU>fL@7x4$6*24*GS0(9T-C+ zBhA9@Z2hZ7@PWsU@&trGT~}@GaUC~$6|-T=ZDzrGi<&JmsziuB`H0XI&*NY>#i_~B zIu9X@b5Osoddtz_w-OtJ%wdesgvOGcnQ6XjCMPey(6001JUb{$*D_~2MmCJ23|w4Z zvu^TM&9h`#ND&httqbij9%klq!fHbY34$paLv@yin81)&I5|~vD}KhjeamiOU~ttt z*Py;mYOSmzMiy$l{N|q3Vc)R1o1-HSnAA7AO9!H02195n^$?wUb*$En@2e39&}69p z)2>St!k(uUV{&r~!7WAr#oC2q3Jg7YLG5|<>eBM^azl5w!jJ!AddOw3S@!;tY-}an zT(EHo`3RFsudZAl41sp=U&aL*s1!4}`S_M@Qw;uX)VwXBq)yh6S>mIfl9KS+{k@`k zczirp+#@2Pr*}qBGq}M8h{vStnWbg6`nkCvn_3HVlx!~$SeU4>TjSQ?TX}z@EBJS} z&=$AWW?!ldOcZdMgh$#t+NW+8nm&1g_;9{ugg|mdqE=Uj&Ye7y-eo+pxLfj3-%CXhK{ z#(nx@5!i%HcX(X!hkZ~vWpva(|T!9Ams=TedTnUcYD ztUvHLg^Gj(!_Cd@Q4&91{l$58zsc5Abs!SE&NlcUr8S6vsQCC`IIy{BMG>Elg(GsqdStP;Ks<2;*Xy2F^A4ihXhwoU#l$G%y z=)s2n0RsoBs;d7hcanspfdd2BLXC?K>YdN>vU&VQVnV_kAYxsHv@8)v7)4T2@&+Lq zWC=XPuHPwy6^qoVM@ zmPVHJc~Cel4oDz~!0C~ZlDbl6J#jTy5;=Sov;C}UMvX8(Ihmq0f+F zN1D}6)(;b798_{QL~oFQ2`wE-84kvce_Kd;PeuR^Rm5GLvJV9XxI)gGewr-mClB1z z9`8lwe&KM(-@vaSc8jdAF%?w8bO8cLYg*9Fl-*U@Iyr#y385 z1!y4+TLf}$NKz8{>DiW-?F*iFx52e1a!i-8bRL~YV66NEl0Z0(&5VoA4nsFz+uE{A zlmC+f$;!&kw!`R$p{;GCT=eb6;b9^^n@R7C3rnW30#6WUh9O;GL2kq ze+bIvh6V)4G8RK4NgzUO;!pn@2SUUYB0Jl+Z_sF`kxCyJme^Dxm>-qUKX`s>K!O68 zDuLMmbPNnJD8(;-FMm`g!~bNBb<}sbv^iD1kuc*|a~J54lA4-7WH~}9zelsg9B(+^ z0EdfL#mOU8O9 znyybWi6XW5p0>_Fd!S=PLa4=QfU@$Z%9H*ek~ye-`mGDZSn7{0N_$nUU>4K58fbqM(Li2t0TLuA&! zT!O*E%*@ONh@*m+dlsDuJP#)f9bf)Wgt@&jQ|+wyL*g0wRCl@>R;QMfiX#IH?;D$fwyWr9^f^I@^`%wez zUnzxp#t4uXNhv8q0I%}52XAjY)R;i2=>l>J(_fc?vO+6F&W3{0GP_A8FDKU+Yv36S zG6|R__y~3|kq||Z!>o7j`h$!BpPF4>X59TI?g|nNSeCZD=>S1ae-9`kQ%OZt^~db2 zH)!gB0nLx+3I3P|`}7WAv~}Qp+3MwqayFR7Oxs|uN&=1b^TO}sK2LMpF9hbN<{L;Y z?r=WJ`#*#@Hevt)&^*O~y#nC@;~NBgyn}B|;Ol;}ovE{E0j2uh`grMe;4{!B@H+o9jdssLNQa?8urak%X!W`GKjTgb%Ma-8hJ=SNEK02czZ4c0uBZ$o6~+H` zFyj>nlr&vFF#u-!5Sd;j`(Ed}RA3L!LpOHWsy#>$);^)SI79V>bWYK)78$la5m4Qt^c)E$R{qj zf*h~rmZpiCg+bqOY+u}P^NO9~>{R4b;0o)^T|Y=PPiSg`PQ=#YOZk3`!@8aWxA3VY zjX60vm*qVD95|6W0xQ@&AWQc-5&M~U{$3dPoPcb9Val7tTS+#Jm;0&h@AN1a zkIqRt}jn`-LQYUhK*$$WM4|)Cf@;}30 zgM)~N361X|3i>)aiDhMc{)aJ|YAj@3k>qS%3}g@!wiGqvlnMTk@1c=x)&@LyiVqWv zxN*J|mMRkNb76`Pb6sXR;nw{jNf4scmoHx;qNu>Mjh3Y^u0=#g5BWlaj*pJy1YceI z&R^0`C02Oj%EA&z6xmh#8IN1-s{Ky*nSG$Lpa4eH!XO(gRa3XWvva)D!FbCz2Rses zZO*fWzIqJ>eFedIL?jwLGTZXzmL%Es{g%5_QElbr<>Mr`R)~8~_ql0MP2@L0cyfV%Q>0T!09j``Z!T1raF zgjYo#)mY||QtIvf7^_#cqM@|~lZ!n)JzYs`N$&%e`{;Sm$aP#x3o{2t*UZe!V-RF9ovAvayvMl8FCK3)2G)wfY1A{HSQAzd*OL!KawwVlH>+Dk>!8^7UTXBA2Vd41ia#Fdtq~s;Q zAb0|BQ~mj~QMq+n5}T&WOe4y{!B9)HyH;FZJ&I$_G-3@usfBot+;jUz}o6`-MqmQ{Q^K~3iC`@|#y@61#t!e47 zpXaBCk#+j|`q11rB#dN|OjMt4@bQ(cudi2Ci6W8R>+8T=* z2l5cMUoPJ$DR)MMQe=S!(~t zy2h<$S=!)TTC^@0J5NABz!-8S5IZj|Ep5{t&B4j}&<3fg$>staZB2t48&jP$tFY~A zkD*P6+sI^}dMTPY3ljm7=_2Y<*D_Cj8t}La7=BkiP=>LEpQt4|I(mF!Vr_LbLKy%f zf))mYL31}ZU8t$i0FC`Jr#;=>Trk)Ym=MYosrX~jBRe}gvc2_<;lloQc2-tr%T0Xz zx3VFPU%w8GjKIajj^^5;z>tRt?EL)k&I%|CBO@{IRXtBnPofqwa`Jo~j^lVO_7BrA zMxE)$Gs>&8dWmZJAZQn~YQB9FyeGk#VIDereQDfuIRnef95y#UubCybv(T0F5-7J?nV$FE|qV(*P#!9MF|E{l9X z>L!-e5yz-&D6y9t79LJTO>I%@!TR8V1#H^Y!M-^wRE6xVXzS?>p)G>PMn^wtu?q?c zMwF2dwAPS6b8-SW97Yvxz2D70J$3W)T3=m#=Hdc7JjUg|kL3^I3k6hwE4zX+lnD-p zySi?*ydiP0w^veDj-wHn!<_!%3m-JDWtNDDVSSL!l%7u0nb$f!eF4~~bqzqCf{KcY zo<8XGU}L#I$D$!XL`v!m7`yt`R7a=6|L+n2)4{<3c5xT%<7;^)3POjztn~Q!pQEGf z2`V7Q$tfsoU0uu0ykupYz`(35I_uZ8G&D6%BfP86(Ep9r=I7@Fo;Kp{>+F0dlaZco zY+!&J7}%Neol(vIwY}};J&}H>y?CrvT3RY(-(ytyOdp9vqEH(J8krIJ!gcvqi~Rns zF8I9p^1>H6qg{{ZiLvn1utP_R?(FPH`fi?`AI?7vhuVY%)MUkNvExLg%i)o zh+G3m?P-;xV$BJ;I3D}rprNiF@z*tuPF&D^uJzr!2eh=A!^MWmz*ltQI#Zqwy%~0P zc9dXAC{%Vrg0_~HrHe}}DYm~KxHe>~;ZRCi`Z(|+fmvBkCTO8E0dVGfrI?3(yV;Vy zF3+FWeVg>~@tLmmbkNhIi0c3wZt~gk+WtTamtnz&4`O0sbdo;6IH3hL6VB?x;yCQ? z-@lTQl4fRR3i9%)yk=@HhSjF4(7{7IqST4%OrK4u(~DD61^ELCYQsO0Ss;V&JCzo# z3CgoeNoBRnf|=f&t;w#WsXL@-(oK%q3by4VFIiv=rz1@|1|?!oEM`6(%iOwoMexi+ z{SKo(g6|FhgD)>E@Xy={m+-FTNvUEGbF*6NaoyM$A-u5$?z_ipxKioTGCv{`O|wypU|`+Ju`9MyaaqTXuA_GrYRd zb!KoLL(GxAf~Eg$f*+b&g4sB(^&Iy1r?hs*B-~ZzMKgz)HzqUL&+Naz9pbZ&%{8 zXf!vve%(I4OI<{rnl&XQ<$U~3_*XQaoxVN>hifKhb4l%5pb76gxli>;0t|`deFD2M2}N*pw%f*L9~)Fw6x)0Oe5P z{mw39ZT(6f>7erJYSI>d-VtaYYMAardhE_IuDo1`&-|?Zt5?hF@QXWla8M>2nY`zvd z?~@u*diw0t)Pl2>vZjlZ=39(Fx=w%dMslWrtWs*;5U_^Bj7KRyPfSXhpPvU(cB!u7 zt8h$oVAIE^!zo-vv~c`5T8F5MOA?9LmVT;}-uPe6o$36|yyE^B!^K6H=UW-9$UqE6 zLx6}@;H9@k@0Xwafv(m~kC0Ei+t8{~417F1nD_5r`RQsKdSra?kFkg8V}Otw($7|c z4i62n8~!YKyZ>u?`fXa;%G{ha3Pn#%Ju*Cu*uX<~X9I5k>Nw~!72y3^%bT)X-(b!1jDq7JjEiUf%!f(4wj{2;RVnZ&Ue<~^}Z+vC_`l1moppFc8 zRR9`M@vcEwydGy8|2m*b?AUG9i~IX|tQk*!s@mZtkA`{<3f1P5|U?kuXSkuToTYH#9UnOz8ae ztK#$LcnO0bPV3@gET+`Y3rJ=qrS@bFU8Oh%;KRcS*QUEKIEqV4m7tMrb27?sQBl~p zcUD(^Xini&)lrUKLTHPRV{HYE-Q9QCassWbtY(*&eYbx%7i#8wa#n4VsxC7t=He~2 z{-r~%us7$(Sy=n1;9jOcy^*n|=GLFV6cLda?nq^elhf%|ex7@c#5>1liHT%$qT1Z? zN6+&sD9-rRJwABt2xBY;QUYfu#>YXTv$3)o7#dR4^~jJ|$ryTSZ$6w+aKF;yChA#O zE8$6Bwj|c9fcG?&+xXYSM6r~hEy6j4^^@a&%6z6(L`)R)^iu-^k7SR~yk_!HRhC4V z37~fxkC$k@gBXq4P|setdXq<9T&+vk#Ka`xzBUI3#~zRS0T13NRUC{+vezgA6$Pnk zYl+7m!j>Gn7EsWw<-9QdlEf$e+Idl1^g!iDS*5*trGP-RffE4=h5CbhoFrT{&{O|O zM8_h=r1qugzOlErw~~?)NVQlqn1>lJdZx}-^I-xAc+v@dgH{9Myo>@rFJJ(mS3A3W zxd%skgPM^fNqVtT0&2v>u20Amc+qeXkp#2B4|Ad#FI-brEGSL}3fe<9Cu{AxQwd)G zz~OMTrC<(%KdJ>rU&Eyjbi_~5^O}NY4v8m>?JoB*ZhuO z6g3|e;cJV)otxsGDoHR6GU$z<;9CiqnOx}Z<-Y9V(k&t`mq9P(+Io=}vumY&79r;; z$;k^VD{1lZ4=4z^xVS(*prfXCu(NA(Bax#e;_m&voqKi#igY0X0j7}~L*$M{APyeq z*O8kQrJ=JJ+~{qW-pKtk)x(33fFLq5^7wSC30PK9QSmq@c>eH2EEdqf;^Ja$T^;j2 zi2c-$_BsbAK<{WEkw6;uW3h=UEUj=nJ(}>K%kx8HV`I}Q=L8iN3(vKdv%LM)Ol3SrO=*_MLcCXShW4~!dKwwdklC*WlHA;%5eu& zlkh1xIy%NN$}asqW@2Jmt)NakBOW3tGVk?NFAY32C z21En}bq?Jj@AO?Uthv;nAOeYKvtC3x{y`gYhuh-6nu|enjh5RmKYX}HNeCIAUs>t= zG#Ortj}Iyi9U~)#K(e-fvi$y&?C#xxLR*r8?wq54Rhp02m;X=MCKN$%^--g1|6A92 aeR)0nAcoC&t=;qLe^ta|#Zr08m;VC;b2P00 diff --git a/tensorwrapper_cxx_api/inherit_graph_7.map b/tensorwrapper_cxx_api/inherit_graph_7.map index 99918c21..5f221c3b 100644 --- a/tensorwrapper_cxx_api/inherit_graph_7.map +++ b/tensorwrapper_cxx_api/inherit_graph_7.map @@ -1,5 +1,3 @@ - - - + diff --git a/tensorwrapper_cxx_api/inherit_graph_7.md5 b/tensorwrapper_cxx_api/inherit_graph_7.md5 index 94c79140..a101834b 100644 --- a/tensorwrapper_cxx_api/inherit_graph_7.md5 +++ b/tensorwrapper_cxx_api/inherit_graph_7.md5 @@ -1 +1 @@ -9dbff747edd52a59949720e7bf75aec8 \ No newline at end of file +025425f9e33daeceec5c816d6c7aa3dd \ No newline at end of file diff --git a/tensorwrapper_cxx_api/inherit_graph_7.png b/tensorwrapper_cxx_api/inherit_graph_7.png index 67fcb3c05b1cfc012a097fc9aa537ac284dee357..de2942cb28d8af34ee127690ee99e243953280c0 100644 GIT binary patch literal 3127 zcmYjUc{o)2AD$!$$(AjoYb#9l4x%U-dVyLtheo8rCmv zK-{Um+?pgd=crZOS>3<6Nq;_tuEo|9#jE-jDw}3Zwv1^roV}IBAgq_*Q+eKKGefEJ zflyG4rj^YoOK|VsmHYa%u-V2?;ryy_FYl)?n;`}x z9zK?95MW(D(bd&e5OsjRv$Pjyj)y!mZ$#_V&qd&H+iSCQn+eg5DA-s#Up#`t>e<9D zh;sJ;m^#?aUQMCP`#-k~{3qhzuse4YL1twPBnrjZ3D?ljAVGK83^kaxuC6Ww0=alm zkiI6RgY=+9%1+qZ+s9iJB_!B5ICRGzKUGL6DM3xY3o(}KqtjKu;EKx1lyXH4jey0$ zVi`fy2AiRS?2g{t+Y1+He_^KtDx^@-KF_l^cH#47Z{EDRc7Xs_7q>qzCN3tH`sY%A ze?NeU-qG>J&@}2`&j`DsIVpvBrH}pIUvzKib*ts@a&NB_37RyEv$eJL_Xm$>Bg^!b z;qT7(U!sTd@-Y~Uc6H}%{(*skkrDATXL3_h zLCXlr*y!k1?@ObH)D|GpP6YMgMw0wvpahFUC7GF-qTDXd&Z${hcW>mcJ6DcEaQ}Eu z)ZRn&=ACyEp1_+QbxgCPG3+Mj*Ek4aBXeqJqU@8)|Fg z5)zJr9)^WUy^$Sh4|cJ#vVuaPS!e}9TKcbLQ5WvVEQ6|o%xr9qPw7bt7(RnMTz@Rj zOM!Vnq1?-u19U)un<`OGPOb{{@ri^62&CcF64#V+7QzE+j@*}aq#IuP_$EtC|~?S@5{-$`)&Y)hYxpw{yhP5CPDr5Z^{e3Z^Ph0LtG#sF)=HBl{8y4 zv)SFvP2%)vVrnYp=ca#!t6Jt~C6N>Egc~idUn39pcJlM{B?&$#R6|3<^8~BkghO(T z@A#sgrA_3yPfSjl7#nwyc?AXQUoDktTE$eIy!j))b9YtUw4e_`VK(C}sadXMkB^w$ zPeip!&!*5-CiU&xx1CQUXixiF6e1O(!mBnfE?c8ckf4FNN618b#{VdHuj$ghv$L|YGCVwd^tfPfXsC4ZhxBw2+$m7Zz2h#b#3M(J z1c$ODNh{e(^77t53zn25lyhP|ZImNee_5~RMba%oU_n3 z1AzItN>fo%+UN8^f)|*;;fDwNU@+Ly(vl|@Xj`dd>onV1+}gMD@^XMAM7z3(pPSp; z+obCyIr(z3vePp&QS9LhhOPFB>8rHE{7d84V~9bGQ+=jC9g3V^ym;Z9l0hUgMn~`K z=A4b(E}~LRE?h|LMdP0$SMSHh#!7&1)P^jLFqyZCuQdkDn8KoqZup+kvH3Tlky|U% zZk4w}u-JsFXPokle-C1HZ*Sw|QX2dx^|KvVY_=VCC0)tBxw-k<>@1Z^wYRhDEr6^p zE}j6DlF6Iv>v=|4Gz^wSqaA*HuF{jg!e&d$$}Y25`lwzR(EDni&$~Z=F8;VBFC=3c zZm6esn!c8om-k1Rt4j)cyjn>^qpz=TwL4qKjqH)F?ZX#4{YKJ}L?(~;*0r{_ULyt1 zen@`xlKfx5!t9jt_^rAE5Q4HjOuC*iDLk8#MytFm|KVSOeVk2ec)*jBlT%);V5;?D zDjX8Zq$Usu`KA#MYpG^q@miT%w+kpiKEL^WSi#c}oqXG->FrFKev@n_AiQH3f zqCTdM`{@?|sQL_~lLdqN;JpHZf(Vv(4ZZc-xG*OoG*sVQNLE%B4u>ZuCeG!4zA7pC zV+?d8G@Xh*EPPWnn>&+Y0OUqiIUnpK*@?~Etq0t~lMmNuk0aApza|d96 zv!!><_!DvPjVkZf=PFkVx)ck*iQHXt0#AVe;;zV7eqKx-Jp~4 zH0KZL0M*6CMKYOO=30?s8nN3j6KU^j;+L?id3c+7bKnXlQ^QMe;mjj>9v&V|fu`U^ z5pxY=<&b#kWFGn&fxvUOucyb8f;cuM{-l#D=1U6Xp#QFJuD<^_jG5j}J>RaREEwy}Xk?5RTNBrVpC2dmBl00DKyb6Ac!x)&4_W&xP7&$2t2y=GlI`S{`TL0s;iqf3BF)Wh3( z1QSGMWj$}*I#`)DdiS36^r_&uYFDIN*)KE;7(-7_Pl2}EzOFt#J`ro365QrM0|3-$ ztgjcJ=tKkt25L=_%gWj{9m*JO(;G{ptJ6)HRo0W;g};DbH;L1^9u!n_uWLBlXMcAC zVEJnkOVy+v-x?|Cr+fGAfk4>~uLtg`FGe+8I$A^ylCalG zB9;Lm(GuWrIQRYhnu8b9Q&LXV{F9}qqr+*7=MR`^sUVTyHRI51l?x?-K|#5Ofqy0> z9B(WeT8!44K$=zli=@xj-#;WU@LWhI^h+^XQ}R|buIL(RaA>G#y8O?va{XNMVhT2z52Yq-O_vbTp9+Lv!^*(mDyu!eC>-=yP!a^7TcVC>UmB8IK3-hW z$<7Wzfl(-wZizvRsM(7hV47^DWKo@n*pTSuZv*k)G9U|O%)ck3QxGS^0iZEGPU~rF9!PQ^wl9@RQ$Pt1e3q}M>N&JQMWb$)!wZ$B+hK>bU8pYJo75Jx1 zlSz?sLrXH;ZBGAhV&ilWtd^1W0@^vDS?PF-BeV^xAG94{;%X`>by6;#6AD!UN~5Zp w?t0D(k<2H_@H;{R{scf*E<0I~ExaH72Y*Q@H~;_u literal 4540 zcmZ8lcT^K=^NxUm5kk8PADtK}A~DDnL3)$kk)j~IHni) z2Atc$=jMR9W~rv60J^yRWwjJ0fI#%GR1{?OebNcDzWR)K66m)$cM%oEh{zVjI}WrV z1={R7ID$hIOzEqbU0&9kJE|)1aH5IpBqr7!4A+(<@PFK`*}m7htGT@H{&kjuDWawh ztpU?ESPoHiR(a4SUEuckP73#x>JP_(q~9OXELM;e^J$GLVaJxDF}DGKK$WyT6IU)T z+C|Oj|9SA&y-R;ViSHCIO}nni202P09*ws7qzytO=Hx)F!hee=2XE0cGxObwjArlJ zsjjYuF`%k)L1A3CBFV|g`@-Lxz+`w5ZZa{kO29x-1;xdEd9OKExYU&MbrT-1tHKzH z^&PkPg64oX`mG;0-Y^WfJ?3jj5!8C~)~#}r#?c8K>TB-9TV37VEaD+w6`=I6%tmNlDV#^J%g>qf zXE0qUH7N7@{qt)W4J(405v4$tJvTSEv}FBO2H`N8*W24$sD)v8esX-ApPw)I;!ASR zq6S9le4#5+;q(_aTvAf9tgI|JI9TBB-S^!G2L}(G#(y9CQ&NWSZ{nrjkkV&V9335% zmEV_@xi~v-?X8cY4r*%trp9h;ZqmywFE4v}d4WSMhY#!q(@{}ToroyxFCRa@g2KWC z&xG@{Gq3HL|FE$QED~1+Qru4uTvoioq;zSM;^KrnH}n_yH--cS1>@r4Bshkqr%$&g zKQEa(&Xk={jqQ`QLdb$L=k>1phlgsg__F8q4C2NOFD(=l6x`k2t*jPv6eFQf=zA|SGczTnp6PlwfxjYF zhcND<>A+$xh{73A1sZ9IX=#y*K&*cH`X5gYtV6(|IXO9&8@OU#txVXX&-L|fe)}aR z@S)z`pF|%5fj~{54#?x!PSBDf?(RY%vgcx=qCQ;_H(gv@YHMprBob9N5JT83gvFxi z1qB7g((-cg1$9lK%^)lFfNa2kY!lpx4P()%&cqs={LjICkxTQW--nCX?YF=k0tSOg zIJp2s6cg9NwUF=Mzjw;#>-H@YOG--KH_&oODAzDXHWw5WoSgVMIXPL9>zbOf%dPb# z@OEN%+AcV__xkU*(TQ{4QlNPA=Hl$kztP0i&Mpaq(Xw_?R_+CArSEHwtCr{5a5h@N zFg}eiQ5Ed(2&7d()xp_r`}XWFWgrZy?7BLUg~5#Nb>)MPl@Jlfbmevn&riS;DsCnwCTc8#`g3LF+V-}qy**dv z@}J{QS_12(YY#;2zR;*{m&<@;QUrkQTu{GKA*)7^ayTe-BfR8YXP z%b%^Se4gU3+LF;2i^DqLa5!rh7Y#@#P(32@N?pS@K;{sL80AB+6jy(bXya3qvn>~K z;5ISrGu6+Rq$9z%GVQ-!0)1XA5NXq&D0FsGZPO1oX?S_KJ=+z@bl<4*CtzG%U4cTW zs*0Nk^4Z*4S$QInH@7MJ_un<2K5dQWt65lB#Kgo54h~`hPu4&3>)8&btGLR$&X14R z`R#AaHhb6C)D-ELY;8F&l-?#2dKUs@)6mec$!kTbWIn=|&d?Cw+S+<>;Po0K4`KHV zNkLwjxW1C5>8@>+v|fjMxMC4?F>w`T7l?Y4t{9Y%p!f9YO?pgoGg4n)-^9ek({ms2 zbbGd$iJkp?v!ZSEd^=w)320*D=g-9vh%EiPr>Cb+@1nK&Oe)P~b#-;s)FRb+roZ^Q z`}i~@BqW?vP+q<2>Fv!a9hh!(9vT+5J>Q0DV#tGf0k!nVbw;#UKQ$vmBS3_gclBg{ z6F?tI2%Ej5V?<0$ffK$pmZgFQXpU3>cusfP=0`?!%*@)XdLWkMVY9kQ$&F0y2>rVz z(Bfv_&r=g`&mjK|tXm16?8*KngYU1B>S_#!ggrC5C7KPEd3Gbad3vEC8KtS}0W_z{j^nAnfn%MnpyVpAzc( zyqf+$N}2hR5^LlkX?nn&wo%V%>t!INyLO?NGJbg^!Z)OXcH<>m8?rudb>SkSb7aKVCYnOHq#h>ae@yHr?t6ti!D?RMaROd4JEW*kemCYrZo>@E=V~3 z^&#ncqi4_P_z$Puz!WITJ)rGDS=-yB3({eDe0&7!BMvL(@S`+S%d4Oul85I$I?*6Q zO0ewHM`I&%a47iPZRC28MWqM5wy|-so;X77{);mMoe>AO3w+y|4U-&I&nq-o>HWc- zqp4cV=BD@_OT0P{7GW^(txA+qNuUn+(t+1zT^&kF%7G2ixYoH|cOTw*A3YxZEqh%e zz>$}(ci)eS@#{+GSnrY}W%6LzOO2AL#UkOIxhuhM707^rb37Dr$d;=HW4Hr@$s9`w zBVH{uh`GO5-#GD>$41JUQ5Na5%q50~3{2Ds%2jX!R3THE_V6vjT_W=)X1-_jFyMGu zXTO3R*VTFCHbIw%|6pk~wC;J)ZoPh<5Ck+B!=Z3>ZEeOQw>eY2hz0iV0dhNud zKJ2H#BH;LriB~Cf%CLaS`uZ33@X8vG{@G@SX73BnZff3;5BYasnGovqlodnuNjfu1 z7%%Ul=-kYVg!lGLQ4!znoUd)v+HQZ+eXWego=3lb0rTLTT`gbNwDI*FI27 z{yh~dYg$A^M0fX-Dx>tcxa>CNYeExTd3kxxQ#C5kxF~93?*Kd&iU<4nzZ7XX+ z7^w=fE?W2&MG1y=&h23e51>p;ry(I%ZEQHrTF*whqq!jviICxjS0F)7YxjmvWV2>)htybW{us3;sj$#cbYkLzLsy)W@dlEPP7at*i#@Sst^UU~4r2$~vubn6zOaxELp|L@ zWmq%Zgzkdi_O;@RWq-U=-9t_5L|8ok?*lJQjp$EBM@W@EN~dv(iAm#;0Ht=3CfgM% zEk>5f$ZV&;TA?JD%Um5q~bq?;m5|Xi$vGi zCdHb#o@Oyr3>>??8!r0DFn(PueEIe9%J(#YTs?pO{6F86 zbhWBfR8%&{%doG`0A8S1pe}|yxHq!BxtWGWE1vo9Z#<>O`XQ01a3_5EY-@mcxmu`d z*td9=QptFF1~(pn1>>64O>N6eo4w4`o;gfRTpS=FNgqFoii#qVVqq>*HN_1L zN5D!0834-v87Jz?^q&x59BHQ81Dr()=J>$TESq7(FcD`&h{FvJn_F1OCSEImj!UZM zSC^M-@+5Ti^e_@w1QZ?bJ?hiuc_1t-EFe%?U9HPS_vLU7*%^MvBY0d&3LO>k8NF*f%1)HSb-@LrMaQNWpsP1X- zzm8k40F3SnV#Ea?RUvY}Hhz@09j~x<8u9D4%)sPRlmUq%_`J^laMl}NVYW*20b~#Z zIJDV|U>T^hNb~`c&B4Kei{!XAq9mv$NkjG{R+y zos`DrW~C=jx_f#q_QtecH%i>UzcbS)eO@LQvq(cj0|+AG{=VYgKL~;=P+xMYXh}>- znVgtNPDZDM<;{79e}IG9ddDn?Ed)! zP_Cg&$>(}{fT-cvVAaSH0D9pLib8#|$a;m#qwspz7-em8wJ%~S=Slx=+{nlX8^mrT zM{%GuB94s=r~$T76eF*{zklLAW9VOCP6?k%`w?hP#?iITjt(dnSJ2QZ=CLPu#4sXH z;8C$niZUdek%i@CA8+P1UFR~a2jKlq>#3`)Z2?e&09AbPVlM8s(prSu1BG6MDzz+& zGaZCO;;4(sY#{BCR^){cg6*CP46(A7nzFH`$>>1{j^Ixt-&nQc@zEItMhc*h{7?2A z&e=OY3Mi*S+}ZEw_512Y+Tl{1pzGgo@J``cpP)>xToYzdXVI89q~le9{tFm&fJR z;|s{2T#o`P!$9g0DsR{?-vXV#{dXUslIrr-2n_HN;81gDKp;d!#(%#8ng4}DPNhMT zgKf3$qEn}4ZS!>bVH`Kk9q50qtlVN`w7T4QkO1g+!Z+XK;CtK*C^B+#VBdjL{VsEs zw2+Wc@V7nlu(Jd})q_CEkOrPhYtC;(acS>ejl48L`Ty>2;4aA9kYwbtpKsb;K37rH KR4A7-fA@dLAJu;V diff --git a/tensorwrapper_cxx_api/inherit_graph_8.map b/tensorwrapper_cxx_api/inherit_graph_8.map index 4e323bcd..6d2b603c 100644 --- a/tensorwrapper_cxx_api/inherit_graph_8.map +++ b/tensorwrapper_cxx_api/inherit_graph_8.map @@ -1,5 +1,7 @@ - - - + + + + + diff --git a/tensorwrapper_cxx_api/inherit_graph_8.md5 b/tensorwrapper_cxx_api/inherit_graph_8.md5 index c1992c7a..8fd0d367 100644 --- a/tensorwrapper_cxx_api/inherit_graph_8.md5 +++ b/tensorwrapper_cxx_api/inherit_graph_8.md5 @@ -1 +1 @@ -881c6a79bf994a09a51b2292087198f8 \ No newline at end of file +d8ac3e0c8a7cdf14c75f6b5c8d4e1b3c \ No newline at end of file diff --git a/tensorwrapper_cxx_api/inherit_graph_8.png b/tensorwrapper_cxx_api/inherit_graph_8.png index 0757dea6aa5a1cff9e7377cd7888a7b9809d2142..bf724ac7a40cbdcb382941a7fbcd9e26f0c6f25a 100644 GIT binary patch literal 7506 zcmaiZ1yoes-!5SwUD6>T-7Q@T14tt!AqYr`N=nSo-AKpK9U>^*B_$2g0@B?z4BzH` z|M%W+-SypdHw)P7%$#%f{^j#LJ49Vo0SA);69okY2cjsiiGp&^8O#MR(7@lYhPX`d z?}3@Jf;`IY-A`syK^zJS^+SlfjJ8|a?!3oqE$3U5gMIQ9Ty#xdi@Dvy*giC<54qc= zOb9Mkmmw>D@|mI%p@q$imKmO2XiAeWF*jqM^k~nY#3(&WDX%2o;CBg_M8Bg;=H#WP zMOvhqZ&btVgK&PNS9&eL4rYGgu6zD+h40&oi3L4@5Tb(B+zm25lCl3a_m1(teEjca zly?sYD*iK-7Bhw3|Id7;Edi#ftzB(9#g#9MDt(*(GBqJOy48so_WQf7u7(D|m~_H&gWloLi_;lxdRB+3fT80rlN&;6St1oxszNY^qEv+9NfBT5n- zF(yuNIwu<&A!dMz0;MML$mxG6wxnnaaC`73G;I{@KVHb z9^Sn^^fPWt%bi>9#_s=f(|Hc3r>FO11cZfcU8{V2d>-Ob4etq|^5BZo>~D{@9yq0t7U}a_x1NXIyy37Was9}Tk)cqqw7B;Lk+q6ox&Ta2;@!DLe0dwyu6gn zQm2oZYy4bQQ**vsv-s=h&nJ-4#YOn$u=j{>DSEhfCwe%~RVU>DqHl5W_F$=FCh{Hv zGDt{*8NjYvKJF#b`c?Y=`1jG#QEzXQhYuh6N9%FCx3+%t=+PTdmOz=wO^Uban$d3c z4?+rv88gbsy_Va~bx}|bNXyE~5)u-|&A}?s8?!}u_@bS?38LM+30}b6D26H$xQyIS zwq6p{XFHwjl?mk9K>F1TwG5CWspfM?6t0L&-(E*s$aQ~xTB+^!glR?{Vu{+&cq*} znU8!iMS?Md@#~$p6P7LOUhma8t{<3($jjo(8yZr=hZbubOx)c?W$^FGTwGsEK@mw$ zFt`#+po|7?1vro1Qop5UcyjpU@Xnbb1^08Qe58jRLNuXJXb>)ScE$^NdH;Zb5c%x0 zv$OLBkNvv!jJV#njF78~i`u$6qh`;`ksJjG1oG?GFE1~z8iz$8Vd1;jbai#r(9ke5 zqhI(LPR_sfE8P$bEiHcA$x^VsZNj0gP6R_D_O>1Rktgx=)@^U5!9}mw#vQ-8| zO^q4C$I5DrL|le$YY`~rfp{4GxYBK5VWCm-?Afz)DOht;lf<)U$sJ1qLPDb)1@$YknA#Vtebm&lCE63$x?f9Sy`8w1s{1( z2P-!>Gi0=<$7=moy4$mid}T($7{#}?wqd%N+OJ;G`|r&+1i=?-Kcdq)-6Fjj3B;*; z5H~mce0(#rv(!{ne0+QdZ3Ah~9QPNR+ybE6{j*h8L$Obl3nzr$&nY$ud|Z}KYg0-b zqs=Lv*I;8~!b zy{|7!RrL#FO*h)DgZD5K-u2{A@rEfQgLQ2}9R_pWUy$&R4hzFVMh*=Ol;-5*6c=N* zZ0+oX)9M)-GWgdwG=Kz&0{Mcx-oL)S?&wh=CzET*!U~%wSiW1t5H~v*|BQx_T?%sj1uB+qPC#3i$FMKjrDOj6ul9 z!c>}aYtxWqtF8rK`SB!OJ`Ouwht)MSROywjtyx||4BgyB23vxHg5b{_*ZShwfh}=yard^iJ~=zb zE9D6a3cB4#1VojTutV8y!)l_Vqv6o2qOV_h1O!et3*a}3LA&N#&NJw**>g&c| zAFH^|^Zjr+ON>EFLQySfS+D^93W7=*k{@-6i%HNVG5!$|W_h6cXlIWFNf@BWgQ zxKcAbIA{-&gO``rb#HESYm1GGD>69P4RKLfe9OtfF;{J^_5AsB2Zst3rtQ7Gz3uJe zqa#dQ+{m!7l9Cdlu&(XNGAt}CN`A}m<(8I<P6@^XGTwuzrQE)a=n;qGgx@< z&mU8e48)jPT3V|nFO`)WKuUE4;ei{lLgWbv2(oPIu6hbjtY8ZZ3u6Upu=RA;l#~>C z`jPGk%0oj&Z2do>^%_RF{4UsL#W^2c;CK#uwzk6a$NY`?os z@x8k;mfki{A$jq~j~05-HZwzE^6Du+zhk@qqc?BffY7p?Dvt;W$>ORjeAgXL9vK-4 zE~~1l78MnNQsUy`a+l4fR#w8!TiQ}mQlzAb0|P2~x1j4>E{Aa&=PTRQI{;#6gO^>;!iuktn={_EfQ--8bLZa@cU4w{Za%HBt7{;UX za}h7mj2O4@s1W9iVrW@$@#T2YC=s)gd^Qsn)>$00rqJxpps=4L^5XG}WnM|9jDJe5 z-I_0I>(?)dVUCWIFEyVFq%L)V+5<5JHYGiBgrLC?GMbv&RRk5=?>nTuF%TOecEp1Cvzwhni zd-<5hxyE5?eLc~_%A}~wz6+jBm-GsCz9YnS=l5!Ty^y1$ivu?!&2SyFS}rNq9CE6q z{4w!s*pYm<83CU@?U)Se%GAin%|2{V+<9w;y9MzJTqlRb=4xZY=}~hmvX4u?edCKr zKwr_)I+msfZEj{DC0_Pr$$?28*!7q6^!Gz3h1a$)bCavz3{khRg>bh zw`S!N7T(^Cr}IDft5nn}?~|AJp3;V$y~0PA0;%$B`|Y=8G1nPtDp|PKSx$L*kKGw< z2y+}O?H?gQiPue6!K!kEVO<;v5vs0lo~S%Kba!`8O|?%+v13wO7@e9@!1q^qQQRl$ zKV0Wnv$yClX02#e*;G=J^}0-{0DK+Wr_GC+l8nslPb+GEjx+`xO_b}&hDLslskb&; zL`1~*ni{zHXFgdLZtkJM!H6fpv9W~ta_Aio-V*RA1&+!2Ecq6t6;)I)V`SIW>EAXy z2t-feP`Qz2Q+`?RW*k3JHQKzL@Uv&1M;QBi>;12t^dyeBdsFp!Tr zF`=$5;?F0s+PTQwT<*t1c-kku%oSV6E0Rmm`DV#vMG_p}nwsN|p!PDusq2e->>0F$ z8)4iD8&_8(i=IR|W4q|x$;p+-GvT1KGXVN-HP#WW8aX>-V>!+gnyRY5@T8nJok$=2 z+~~o((bG?kqM8=`^j7ypcR6(ZA=^!ewc=04d6Pw1=9|)@rYciu(Oaa=ue4_uGy?!j zaW@{c2VjvpH7OVoVFsM&1dF~EO5NStYX(iES+ZO81FbwyUS1w5Dk^A87<83-bEBi# zTkV+!bF6;dQLw9~^EF~p2MI@}H(jBm8SZ@~be)!|ywr)PJ{+U>*$!3H4I0e4uyAoF zF$mR^*9MZ0_Zs&3r~~M}eKidVlx%QVJOZZT;N-Mf8+c@C$w3lkS{XQKBzEd&1GBTU z%U4ZLiI2~VAH)@bs(1a1(+xs=2&f`Yv!CC_$A2$w^qf80jggcrzbEr``hhFvgm+9O>;SYOCnv9;)ip6$jFLi<5fR13#%9Nx0w7joh*SOJM@nic-g4ly zJG&16qYj`ff+i=oI6hufKKtYO>lWl@rFjVhy{Ek$2ZpcrA(!Qxe&-XCFgN7qirn1b zqa%BT$kH@nhvK}asa+Ha40t@@z;8i8$IUlqW#7K3{jfJ|U8!4IQ$4n^ss3<1HaCZu zG;{#3m~Z?Xw;3Gn6BoC8v^s`~IcZW~%}Tdq!Cj$&L5GDUB>S$`(>svJFMCrV$S;4* z6i>`?Eu6&F-ooO!{pY3j0EgyFCTRG6OR3gXX`lg>8a?N)ig$Y(;U7iPzI^!-gh#tP zOi4*;;;}1eWwj0fH5fJ3)hC8hoSZm|hByr#=Ul0S09U-gICN|D_xI1td?F^+0EuG) z0Q@t6ldrj^+S=Ys6zhx!%@w<}tsMRzHUjttO;nBbSU$K1H)v&h+hcPSey-E#b$tfd z4WJYkhbu!F5@Do$@Bz@@2xw{dH#ax`{;dXV2_ThTTC~)`3`wu6;~^=vr}yAP%ox61 zW}n^NnVvq?s6qa2aIGjPC@3qlS65fJwq`Z{Jv~hh9swZ7#>UU}(eO{Da3)C ztLu3@yKa4L?eJpr3tlp=#4ssW84L&`q3@HKnVAbuWV6@x=-Aky)dM6F3BV*1hHwAs zsQ-9{;^`|ijI7_k^^}$S?_-gO9}n=~VKGIu*vWvgKr% zl2cRrh;3U9>`L|DVhjup%F4lSuC@zJVDre;#C|`&p48+vVp|k+%TjS23Exr6*E*5p zZ~}&%1-F$h1j3cuWZ~Nzx!<)Pa|mSfkDVvIS>KwQ6OocC;CDt)3Lg-rkf==P`SSg_ zkg;CoG^#(@nkaE-JbWO7f8kP7Y*tuOvT}S$g=;mM3;F!{^9(2Z?$H6+y*!>+Pa$V}@Zpnq-SBQIN_`^XXmD)KKA3a!EIqPg&7((zDXFjaUj7c6?Uoc4{yB7$k&#*SJbr07t6m}V*19)Ccxe4k+iyzYSWT_OrLh{7v`Whu znaaw_;NSxZcc+O6%2}5kJv$4FUrzEbWObr4tI2g!%)2A{okPQ}_pwMN#bHo6?Qy64 z4qjp-BO?>9)5pj(4DKvzP3?%MUo@o-zg1P;AP~6JqVlo1>MXe-Z-7x>y?XWd@#96< z?aha0@DHQ8m9$>O(A^m+P{t{##4|QORGWftfld$~9}f(BG^L%{OO=;1*oJfVuFwX3 zVxS(np|Gj6-JaQC-esdWCO?Kf4@i{NKoT#2ssNeK&di+6h9&gG9W8#syypv54%}N! zH0fU41Fg8iu;$moLNgfOz7f(n0kYSKn-R6p0)sR5dV71{T%WJ3e*E|m1QIjkTS0+U zXD|VX7Pq>nsG)MBhJ%&k^&z5rBh%9%@Mh%IHbCHXkXV6+gTuqNI3pWdO5yjp8LDX_ zyb==B+>3RN%*Mf1mxLkmlCt8*%^v6F%XIyT2ip}b3$wE&dVC&dJ8iBNq#^P@e*9Qn zT|KG@?K1OMx3}knvc>g^P~jRgi;7av5fc#|A1ui^_nGMM0Dv425OCCBYj5AxRW8Dp zk5^<8vsHiZoq(WVKu{2a|6M6GU6OxsH*jlH7RU_5iM9IajpQ&M-9xi9kG6Vuh)q4Q zudaQHQJnJevvy<*Y&R>A)aYbi?#;Wy6NW{ko}S*HHmYapSouyIbZ~z3NZP->%rt_d zc_CTZ*=Tg*!^7T*EBsi1`2-qMfSYb+@K-jccr~7?G*y8hj^{q3g&_!}@`mnQmW6$$ znjs#NsO2*f9=cl8CmM>l^byE$>Z<1n-qX_&%ni}kd9xfXE+G*Y7iWFO;t;$7@$!Uy zw;H1HebOCC?Qwaus#TyGK_g+nK~gnshlhvPh=yE#Oxn~aXgirE@^QJ%?_phCot+RR zEwhl#I12*6!oKeAz?4A1WB|WhDI3{o9~^uMRWLR-K8iXl*ukK)T9+y(wX(O5z;8Fq z*VfTVPEP*p;lWPBw>M+Kr*C1Ar^gW)5z%$000Na~cV`E~H#iCqI3Qt(LlGC(`z`zX z`?Qpl9yeFc{=-ck=lHU~FBjPC{QOmbZWR}^`Kv1_^?`5!Ynhv$zeS$6m^8Y@_+CR)1XXTozbZ9`L7}e& zV2C?WfiqXrSJLrIq|ig*-yOzYrxVbM(eTiR^K&ENqmQ@S|J0l3O+-st>d2k@J;Yl+ z#@;+HEIZ6amOFq5XC=n88p?>k|L+<>79iBNEwD5JYfWkC)}@Z1vC&a8GqZs~K@qh; zDCrH)WOUtLbFsUK6Q(DNTo1bFNRPC{jeP)V&0r4Puh4qP^)e2Uy&REd-(eKtt>BZZEba$9Re}4y}ccf z^_<$Z6hT{1#17%N2!$~$lj0VvfBF#s&oq*r7hR+#ij1+r!5GdiOKWT0>&GA}VAs1f z0Aho}wZ4A4+KkBvd8MOcVP$oFaq;9%th&Cs0&IbUgTr6;jg1YPaoN|eAI9=uf(i_} zCtosl#oF4M5DbY(N=g!Q-E(qwehiwwygZ0>J?M2DvzjUd0;Gd!AR_8LD43GK)}cD=RGt$nwYcUH`SX z&a(&MQKGDWH#WeFYXLq3y8Ey&>sHiLftQW{(S2lci^+gaP@o1!{u0{BN z<*J0|Pt|0GgK|4lZ4H8A_Z--qfArngg3w|i^}$lD=M#5+82;id`jo@u&J$JBI{+&5 z#xW122r6&(v;kM}xp-my4^l|Ub9wo%dZqeRmPPQnlsz=MYMY7T!BpWWYB3>p_L9s@ zZ_&#S(jXwy`7HVXirHCRbp~2H`2N!B#TP|T1b~(gkS$W=pI zw6ru$EiK1SpLTY3@MS?AB4Sd(z`}BLaWQUiu~$*Sc5bu%%t68qM8uyl48<>Ml>B5c z@^W**F-Aje?ZKrd8=1RJVD1p%Z-A+$Okg+dSlop~Qe*-vzvxXpKOCvQUuY~UR#3O= z)>$Rv(Z4g))|RN#27dM(-co+|#f{eUpbbw7VG62Y#ov6k2S5*>p5ENu9b7-o$~m7b{W_oP4{2L!Eb z4;=g?#N6zWV3YoAEoTM|3B`z~8aY3_OfE{M%wqBGCM9Eqm4)TQr%$7^dnam}EJkDX zJRg@kx3+BTgYtDlKj+OFa^n#|VgV3||Ni|Hkj~`D|D1P;qWO3aTDF{wD$~cj>j=a- zs-fiNo1w^Ctany6q$9^2T+`Lj(FvWJkBW?(9I+<>#1J?Mk4C(3B%br%;rCL*f0OYxbi~(z}HP&8l%sHQ!D_luI3KRV~Is^j2l#zzLg+Lw-gJW?t6!5o-|CI*# zhhp?b3I@4H{AM)e$3h^K5E>>{X>4ZzOPl4 z7)W&==5#!H&Y4B^IU*v9mXS-y+MN11>oiS7P==dC?veW1$a74p5x?i(gL8zS4}ZKN zfMGmbedOljt0ehsnuK{TU}%$c&~Ve+bR*Gq!`(eGF%=gV*Pp$M$T*Tc?`e4^l0hWm zLowaT15R)X9P%&!e~#G9g{bK0P_=7pxM0kYR=9x;EAf_9z5i;aOq<1IEKl|)4^?Eh&F%MVVT{2ojdzzK&H6c_JRJ1ZoxJxKRH z)2#U(%|2NXMJ7OaeSW~>LI%c9 z4m!pp;RdUeSx|rmu{&Co(9qP(1V0Ox*c8H%85xveFlbn(QEhE4B^A{JSWe~O>FyNb zF?iv~Yh6+8!B3u5vP|VQX?0iHuSsH%aLW~pUBUO~YH$e%ki%gCBiT~a92_d=pRH8iO%T306nAiR z#5Xd#o$2llH5p8iSzljQ)zFY$>yD;_IGz8|{XRLf=rb{nrKhJC_t#%p#~d6fniVD^ z#hMiuWRjuIG(LZlBTH>Z$3u2z^(p4QnR|L5LE>U!47b?$<)$w9hWLgWUJbn?i`ISR z_qBf=*{`p!FUUM9DvBmXnx2(4IxLCDr~m6qG52@xo<5)q7JDrrA@SbEhGpD)@mDg> zW60BI&z_7O!{Lu1w>R*iwjcO-cySvfB0hq-d3kT0ow+nMHI*$aiVnNocE$@Ujk~cj zZ9L&MU*qCnhK7c+@M7&6g~GuC@f@n>OS zL4i!q&56_Cy#~>$m@e#gxcop?RyN4vZK3ML!oUCqL`h#C8{`2gzZ06}WO3`o(OS9N zkfGLc-6P8O?;6^}kx-2aK*xPO1^TOG^}BSQ22z8k?GMiHO2VTkf7$ zRaN!$_WHN9w7k8Ygi{E45P(n*3=Vz-gW?()8)quf$L-YC*H>TOc#*wZpRER4JFZMm zz{bO)Zeh&B!?WUQJvEcWz5g?ze6@Ld##H=NerL8UxajO)@64rg$yn&g=4HiD%BF7o zrU$X;$IiZw_6`mK8qAU(KD;QnWUe{HCnYVOcoi5JXn%ELu2b*y*vH4`@bt8^JrtYW zX-kQdlQW~TQnf%^Ljw&$#P3wV_WiV>|MvFw=yXbd?OSQHn5ZZO1oA@x0RgL}X0kvO z%r>woaXTU+zV7aP8^4l6v4t-nHMUEVDk}KZ)^oJ;rQ=y2@~h|>83VvmyBw_N-b`Fi z&#f&l`_Yl#cQ0b^ z!4cN?)mkr6U=IMe6Gs!*^i0}WfhgcXyGd~^x%h} zv_0<^nAO{{S$1`FY|oL2Epys_JKyB_3}k{vjZLbOda`r%V(Dx(l5tnSb)HGrI8ULa zxIBMDQ|iL~0Iz)-&zj)DqTp0Nu^m)X0}~TkFC=auAu?*IPeF3DfvSw1KR)#1 z008y5y)xHXjAKwSu(rlbltUpQA+egP#+3R*>JOp`LP<@HL`XgYws9m+ zPgRv*b#2Yi)HDAyX>$aU6U&(kN=UMnyOpO2RtX6GZ9Tk8P+osd6Z|m~@`wY!3 z+DjG}OSUW%4gZk=_%-oG$iYs&ZbbZSlzTGm-AidUK22cwb19A!qG5!|QR_l845L!r_%7Vs?=-T0+1f0jzcJ+98t9?P_K zg!}&a>U_qTvYF(Z6QxB%Lj$1M+>3zHK*v`KQ`is1Z+cn-2Nx9egsBl z{aTkzWFt&8e{hh9Zt7|vdvM+i2^L6-t{`~RKY!;rF5b9dGb9n^cJO}~zg+&i_ zV2jL)8D}4*I~g`n4{399aZzz`J+*DQ<^C%+7L)9gLcJH{`yY9(?=m!aG_1Fg6a{ z+A-|{sF*DSX5MSY%G59_wRr&(NvmRirk*yPnPH+m>*11vTbpZ+;L;Tyv7EU zZJWi$@OR(TT3cHmeEs?r4GryQZ!F!HS+%9>H@cVeb&mGyeNUOSD$$@Z(r)xE^|xHc zT^Nlgqi?2bY|}^2_7|H-@M-06?)<73^LJ*sI5_aBB_nZmY^KW|AnqW$25V;c;X`ix zRKYWX`PQ#5^Htrk)=Ecsp^fId%A5iE}n6+IXGc!{o!^0;_{v75yA?2%r2k!2Rs}%Pas3=&ZVTvNR z1f89ovTI+@Ds83)Bdz)S=?6u>ahML0s;aB6%~n}ntb|ff#`l*Sv+^`DbshOu|{`Gkt^Wv;A7fO)Ofu1Vn8G43x~>-5qhS-D=0{cQLng z7t-W;zB-&K4oPA~{jS&a9Egl=aH`B5Zjy-sS@hU_IbUm!wB!ZHlzsDt-Ql-%P)G=R zuezSzC&0Fi!8HUyU~Rbx2t>us0&L#*4xYZUx;pxY8*pI^3Sm;;i*}07$;lt3qRFeY z75|PJkO3>8kW^N3;@|>e%Jqk}TqCllM>;1b2hBNM&^-VQph!qNuSECu=0-_FBW!f^ zE#xQAZ0ueab}2%hY8QgeJE{o@PJ6HUMec8&2w(4M_q^9;cea4uT}?SE(I*MC=PQy3 zR1T!kGc#k{UY|=D8d52w@Q!TY<}V**Tk3|xd+jcfAx7myAW<()#uOhwzy<|I zM`Hv2Aka84Xkh`>saFkJx-GdZdJF3?y=b{_2$70T3kcIo;22EV?26xf32I5X!@BIr z{@gQmcJ}Ee&l-jOk;HQO{3@RcS=W|uyQ`CJ0uqupFc?q>m0p()KPoG81YG|N{}=B) zh5wuP!eGDG*CiMj7{uJ=4vi=>Bzkqddi0FTNV7?As0Csf-kFnSI4^?}@hfkbYr zJUq11YH)dp8>7bV=H{j(CKfR2;_l`)T<^RamlyS%D*}u#`1qxEHQI-F@7^K%5ui&X z?}Lkk4>CXm6QAHvAQ zgrCR7&HWePqdTlRwVxqMFc|X0_;`VisV4#Yqt1?wVIW9)#>e9Tt8H-dHLnm65)xu~ z`BI)iLH_z%adD)aoE$w5PkdMy7KO0f#C&poy9-P=B8R28yk~(#S#Eqs%@7(<>k@F#l;zn zWJzc=x|Q3h+yQt$0@W!iBSWXP!Ov-FSO8G~j-jrstR!%n%2>L6r>|cMXP*#TxC0Ej-LkYPWTC;ey}$oSgX=+8z@sN@20#5=;&bI2uCA}w z_GT)GIL&bWrJ=YiCo`(62?2_?C9+r(JYA4@?T=aX?K*Ia5C)A=Fijd8Z5G!`GHl5i zttrJs!D{?ov(7+(4h#&Y{i#hyxn%Ega_73q3EuRRc*UYSmO|<;vQ)9XI8UDj12rO- zF08vf>R}pR8r2@k+SWyjGcz;fu-=QmZ*vMXznIg>qC)quW?o)VG>NW#8i{RMeqNp! zOMEs^2D0$?@845Gp<>B-TZhw<6p==dg;y7r)?34wW@cuh=H`WLqA!`53HoL^0Is>Y zyBh*4=VJ9ED`4{vR8+>Wy7R0t_Av>x@hT*M5g{ff=Jcs`W`-Cj>{@qtUf*@MHo`5b zuQvh|U8BMT({DqY8KJj~yFaZ=wcK$rGc$jViwgom?g{)6Dk?QEFOj^wJc7GRYbvPbU437e5Vh^*Vl5hgImO0c>Jt?em7vg2>Q}GcG90PK z04)$6-a7eR+kU0(Q6}|paNghBXYU))N!C!oz|a32VfT#YzKQwrB{(OC=8JQcxw@~f zFZc@M<)8itF7cU4+yLkY1eOeEye8tZh?^|0t8Wgvzf70q9Ssc(ym=p_>*Mh_th_qok}%<#hb=yyM~Qe)eQ{1b5w} zE^m6=b`oMY&40Y_#k;t=GJz{kyTimZ{{&@eG+j=(Wpyj@K zELvdO3_}zyG(0miQ&3pgDn;Rq94zKPJgk&zZ0FJ!Y;AfcN8&l12hzzjAkbjTnW4 z!z%z2%j@g8jsg#o&f~eS$0jEU0h!_VeQgU6?_#3VCpeMAv~6yV#JDR`SyMgPB~{S< zhn-6+a6Uxglm=iE+Dvs56F3d;ylhhh>+s@Ptbd|XG=9RR4uL@AZh=?e&S>Vqs;l3_7Eze?@s(0|@O|KV8pIuv9LxQ&LOnf`79{5yN zMdo*LLHT?A_HlPKYrD3sd_e98-!RxOr1ixhc;n{!B>=kzqUMJfkmly*o}nQrAD`x~ z4^Adl+1Qfl62!#BWo2c44GjW5nAq!TRA5fC-TU=i$`ojboUsk2$na%KuLFg%9Fpm|@N_{YaT13C|j zTo5he65}jSKAFvSQ4sj59i5#kQ9O${8>z28paW(ODi4D0ThCRm^u$oNRlFG+8$Qg6^-b z&JS31Br!mmf^u+jjJmYAh!PXi+|%blp{aRbeCgl|tTDuHMXj!?#`pL1h+12}1pYY= z0m1mjWqZ<@@~*LjN{RD}LAv&h*ygH}?V)=!53$#t9Y(l%-V;wBKhEqKy2n4;3x`Sf zFl|i@Asdy0H6prY%NXMw;@bTqsHmV2B1db<(FBU3i!!A7tCp)ZFK2g4>>qE22%LOhF91ovq6}denU*p_hyac z;%si0*XM?D;MY5SYlFyBK|C4Xfkb#q0>`GW{kaV$Nap7XsiR&qDeRNQDpNKft!8zM zEG|dRNaC)z4Sqtb78{Ad?xkKGQyR1KgOYS}BWc+E$*$-9zAt|2b~O80{$A(d=$o$^ zl|86ZpP1R5=$ptl-48|zIfe%Z2PIvwrHnvMPtevJ{$F;>(}m zoLlQ>dt@3JMC8G?x|@$N)K3O{#X>RH$ue*!^(1 z1BCkukeOj&VWLJxS$!V<{{A325jsa%ODh8CZ>#y*a`9cxAdq^2VL|Dj?5ytBED;Lt zUI|VQYE@Z0{mQHvkdl&OlN!%1U#qy~?)}h{-Ok3r#$t30b@(L>-eWv`eBjk(SFh-M z?sKWCsjULYg7^XZ3gPLFjEs0_`grM1Mx z^DKGczbzy{z-?Rb6XkdBa^L+oQN2wZJyoh7nx0MpMk*Oe=T8^qRl1ZB;d`!Z7^GD3x>f?w)4~9+S#$C^4bRg&q1K-W^ zlBJEu=$NFupMmwWJ!jhjoPFA=x$*IF7$7D2OE()laj~)DfVf)k03GwWqJrc0upL`f zMMeB0;Y;Y7H*Y*PQ(dl<38@fB3m{L;XDiJ?f2F{= z4)~ftf>(vNkBr2y=ru|^J3GgH{w(^ou<{r8UiHWJ+ z^?OHs z1PMu3km4&NN2gJuCmKa%k}aMo%GAvV9VTa44oDk#v_=_o)z3sa6B z7?d<%c>yih=P?ubv)J?om`KQez%s5%E3JS(f2&C0cXo17r|6bfbNaX|1a-K6W!@{q zvEt>sZsX{d;Ouqhd>0p&TF_nt(e|k|5cONC6yp~$+E^+^Ms%>H3Bum>dhys0;5AOy zJ2RE&HlP5xadTGF(s>Ertn%=RYHAV^zPmu!6i8pbd_lv;?go(Koe7K0 z-Mz-h2lI3VWBAv|lb&`qMO}4;TEK9w@#-xFxeMC32-ve|e(~ljCGgG;ny*=amRXD! zaXU09)~Ulo@Iv4(V*<;t&T+GCV&ZAb^}+!sxgesh85tQZ@9h;k>Bq2yV39?D-eTO> zujpgwPo4z7l3#~V67C)-5es>6Ha0evnGTWf%~m}DoWfeqW9%=tmw;*|2E12>K#m@{69q@0&!*+He0M4x3T*AXXeF_2oM4yHL z2dnYWn(*tYv~jw!#ZX5Tu0i<;j~hsRwwITeC~V<)X&`~!_;W%6!sG!4kSI$$H8pki zLOsYqG%TzxFe|(JJ8xhVQ1kH-1I~MRe7rM!rK_vEvb*~+A%SSV*_*_njK zzJLGTAv}w??920iC&lLig4!lv{5j#C=j-T zzs{PpIsi(xeXH{IaMy6Ag<>#_?N(;9I1C4fQ(Olf&*D=aRK zASX8$5aX71dz1I?5neJdAArmUAR{z7Hde*rd(d=lhtT_pi45M~YO+Bqi;D0gJ0O-T z$765+CO8xn*ns_z^4dY@6w?S;0(0~8jeqyV0KEZxY>jFwV!-%^OZ8h^rmBEHy$5`A zd^&}3zQMtP{sh{2I>9lOE95hyWkmL=1W)ovoaeCO{z%&eG0thXEXog>f61?a%AW=2Ulzd9=LLI>TBok3nA;{}7sV$Be&Ocj93UEcV{tbTwt z1_cKb^J8?W;@zIVWO@iB7m#C%N=Iy6^~1mpUD@Ba2IZOtyjJq}s~>EW)N(1jxL8Iqj7i*o$^zDk$snr8;_-z;kE0rr0$`9Jo{4#5ied+g - + + + + diff --git a/tensorwrapper_cxx_api/inherit_graph_9.md5 b/tensorwrapper_cxx_api/inherit_graph_9.md5 index ebf70bc5..2d404b54 100644 --- a/tensorwrapper_cxx_api/inherit_graph_9.md5 +++ b/tensorwrapper_cxx_api/inherit_graph_9.md5 @@ -1 +1 @@ -71614928882320364eb2586cc9388ab5 \ No newline at end of file +3663790d5ca46c9f324b03d2c0fc7284 \ No newline at end of file diff --git a/tensorwrapper_cxx_api/inherit_graph_9.png b/tensorwrapper_cxx_api/inherit_graph_9.png index 63e79f4118a1c1085aa0b3083bcdc714dc3c520e..7e3d5ed8bcb97f2efb856f9d0ac27a90ad116ac2 100644 GIT binary patch literal 10115 zcmch71yodDxbLVSVSrL99Rf;9hYX5HgGi?!=^s$K8>CBymJ*OI=`IoJk{0QZlJ0yT zc<+7pzFIHtdZP;tGiT1(XYVh5vHfIaL~mfc*?bib#_X(>dU^>w=r>XdvZO#<|fTi zGMac%CF1z!6NVQmtqDaaWpo?um9AjR1r!<+1!O#DqWV$kU&4?V&WxS$CF9S|CU!oB zDb3^OsE(7Fl`fgB+p-k(Ye&i!^Br;QbTPA0F|7x;XvC>tGzi4K?+UgT2SymvSI!Sw zJoYdCE~G%7|8`@Xzc|5-Pp!zHQ^EF<)I%Jc5K?{{*%y@OCw!`J3LrXgs*Q*kP_RXl z@?c%=LsP%(mJUSUE zYZejoe?O9Xo{FlfM5MC=Tn68ZtoD$Qc`#1Ib!=oczUEQ}P zCV_#09-f}W_wJcVD=QD39PJ$)92BT9($S?a59QBn_V+9B^YaS`2(Yl^Z*E#>43CeW z4yv2Rz$-S^^k;EqRaNZImRjedNEWSk+S*?XI`7fZ(P`AWp1F8Xpk2Nslu=yV-_s+@ zNZ8&l=z8j8X2$vy_xjbwt}bRuN_QG@qaw$>)t${vodOlfDCQdL<;W!qf+I0g=0}fu z8yYULBnzg=52qFv7e5amd}*DPogE`Z`|kNji;Al1Sh@KXK|*XVw5QwK+bwl`x+3QR zWPvL*GBT32TwYNT&u8uLa1UO0?$G063RAt*(D;SAFG+J7OB}__%&fs&R$OeQtxZ8m z+0fA;^)Nz7Ny*5_h>(Eb#*G^UL`2Qa%`-v!`}=6<=$zc#++19Thlf|u(Wfkkh={IT z3s5h6=hrm7y87;_XKzo>6BJEicOpFD#!Ry~N=i%&6ALRe|HTeGcvMsrKMzkFzin`q zfr*KRtSrTCzuS0ts*FmGj#d5_PrEwV;JLfITaI-&qu(Bxnx5X*ESo0j?Ci`)n4OV< z$r2P0pkAQkwG=vK#&d9Rux~Cek0-Ry8b-I7A8hpc;Bz}yJo}Hi1B8$QD$C*5Y)p3jZl$Upt^4pXdrUwP4(6eVL zWo2cxwPY-u?Cgy=R#sNH@ZK{U8yi(sRdSd8q^c@M1%-YH%3DIx($Z42eS?F9%HPxH zHf+g+eB0;bIuDMHCd$oIK7FchY^0{AUzqQVJvljPYHB(?JyjreIEjmkOO=dTT3*IO zyG2aQfRCN|{4rU`X|x)R7L0kZGswG;`MId5R<&J0b~XbYolmP?o<_xH1vUGvi^OJ? zx&Ga?R@lVEwLqoa~Zu--A@&Y^2E){3q7_IX)){T=hy0iel3Gf;iR;*^ae2( z36I&Q)YRt>Bho&9o^-@#J)%h}_u3#5&ux@sA%rhKAnq6K3P!pox&Mf1FTOW-BEnB`GN>FW<&CSz-CR#CQn8Vx4po3Qkv7m%F>Wfq}tj>Dz$7!2ZEOrP92R zkdV;Om)hE&3JT06B-*^L5pD16+&ZrTkgfqlEH;*wGiE&SZEWSC!NJ|_?KpPBo3*2Y z6cnGz%9K@|w2h4&7kZLl4Zf)4K*7#YEAg+jf{8xb{i9nn^1Ca(%3&ufGc(hF^U!6Sj92^{S{e#&%WMl?KBhA62>UAzBv&Ft!{J&>sW$&Av!dDQo)HLE`{5Dde zqJ}$51MD=smrN z83$r%Hhup>#@5cx&ZkeGG7=g?%())+C1QFktgHyvRoC{6juI0S8ygxLnwV5uFAuuA zU;0cVy>pwyj~~e%+pQ1PotAV| z1_cF0v1sMx<$eE6S86gMq?MJFRG`<2dOKRGS?hF=TQ=^{>c~TIF%xbhLaLEavJ9M^ zPvAOJ77hl663)&wF#ejF8mS8Zj^4g|-_94;;F`WFikC#j)m5-|3PDMOi#a<4j~F3F z13$Ng24YguIWHDL$~2`;@TF>`9@Gec1aMbtD=SPi4*|#Bmi+cP3r|nal;mVG0SB7f zen0y9wl+5v(*H>q{9Ao=Nd+9jKOHQlCx+{bL-?;QE*6xPxxy5gvps{HjLD4`aJ1=7 zer{U5aW$lwfq`LbXGbwU&0fv(xC=&!AASEIp5Sn`YVB)dV`d$)>+0q~yz9mpdXlUi z#CPi|K4MAO8F^#MF3#(f;~!4Az<_mS6~=tmK&Z#^2*lM>eAAV*4DA5rJcgX z$)$xwMKMzIrY>8=?oYlL59RGF552GsNgHOF_8cuU&4;#_Re9NsPd0HM5!|dQwzIYq z8JY0Rr?$>fSyrKVuW9riiIbB0=qvfYSBe8_aG*Ixi)$4aD26K(87Xq}ra{r4%f)qd zu2NDRRcp1`>FH%g16kj`eal?!#g}J2yQE=`DC&bW?_WQ<6Wl!FNr9;!Ae`JFc(S-g zCv!|sD2Xf7o#0ne{GH1&NQ`5+r$)H5d-a`7Z0IBPd zx~Zt>7W%c}t5+>?h0t!DcsO#@L`O%*3A(yuIVOo{yU;*dYEe_8R#y03_ZuVJ-3@to zo?v33k#==OJ{&YM##2-*QB*2bQY_)(u!4i)vOUW8#l_L3rCV`vj95g$IR^(a+3%Z9QQsTq^~*8rSLa_7iLC z(Viam_aBmy@={VN!os}D%An$VrKF%o@hdl}Vj~tVLZxIY#8u(X=w8s19vM{OP&5Z8 zr-kL(Se3FeJi7WQGd_}19FoPeozvWkV{g|c(0}uz;KZ+nhU;3i2yG_{WV8u%u*k?r zyU4Yua#ds^G%cvm+;!jHUS_4vJZO+p8eA7V+Zrk?bhzsIL4x3yGgYXVgoKg0`tz;d zv5t1bqoc8%iKg$2`CrJ(>ux$;Ghp?_NqfY37JUT~h!ysa#qoZMXox>22ZtCcTnvBW z?-2oSc%=~QGvhL7*;zxTrX?Y9KML|IU7Z(>4V<`E66wA}HvzJd#j!uq`RTv|~ z!usGF=JrNLS@H4l2?+^NQOfrAyv!!1rmoAmWgYP9?Bss?Q@GP;acQa2bfR{yJ&O3w zogCGo@2#y^QEL-*i4>S|I@uSn88^KndFa1~&3yG5nwop7W6N`MO*#dU%$g3%gG>W+ z4|hYy;|fVAp)kPE{#Ngbii&>ihre=;F&Rd$AroDvzxfr^dT7(S&zO@mQ^$X0PEAc^ zQY-e&lGoJi)MGPeXcPI~*0%ILh zJ@xfZ+@ApYot~bKWK@Ot5kpy-n@?F(z#sr*U}0fFbC=63E-ZvlEy~Dv1HhuZoCk>{ zGyT@wOh-?j0gqEq&^t85O;3**RaIWDqN4Jv(pr*{(AL(L{Z62__f-_lfz#>n!Bz;l zpbSb+NJvOb%-6{|%SWf6yt*3Ved`WFIXHittP!@RSzQ=pQQoJ>{C!OZ-w$)6xg)VpzN_V@3ZW@v|)NzlK6sbo>UhbpS5 zV7ICFDIDwSk`dTK#_Y8z;Ar_t1on6{tc1l)#ui&@4_*TkNmD)(B29 zNs1k=x*latC!DIrJ@5cDDekKSwW<0+}$XHMQ7Q0<>Ev0ato~O=EU7gs)-&GGlSH^IT ze>eW&t0zwD7M*VA)%-VE$mdN@uklo>LYu8-Vf&}G zwKXQ?O&?ErL!&ouws&_2hlXZSVP*H-gM)7h!J@VR`(t2OZp0C^vb7EI_pfw4LkeYN zX8N`2{rvfJx^16>0{I441y6I9i5Df3@{0|>G;ap8VfV??%rPdQqMAA zCq~Um1ud;a3g6*jl_Xg)rs)m4?dE=}1B(IRkusD?vKbJ=H@s?UPTqJ2%QU@0Ji%z5 zu?!Kt+g6EBO6t5Z-2~tuE{=pYtioch?RW5X1bc_w^p&eKg2p4m!>o4#ySii?dfY?q z>nr7H9GvV;OjKAlcXxM>jyjr|_5A#)#z+X{a2k6bqpYNa(?ufjPdf}6iYG9&OP4MY z5)ztl9kql~12KZx{>{wf|OTL0V1&AF_- zjf${PAVD{-Ux#>bJ`zBIDsAckcp1^}~2N z(z39yaQ()ODT^g-(K;tar07)2jlW9C{GFYU}abT$r{~#g$IJSn*ZN^-xd1j&Ne4PNK1HOx0JQpP>Wvz9J9^70& z7Lu|e_vQ_~XT$o=PAUdrn+WZL2bo1hVU1I07#MwJ)LTmk*7%<8-ptVxRlMe=rn!z7 z_7oP3B6t5iS3qkPn@Fv{oEy3K}Sa&B=m22Hg`7mBKs;8JifnvqQll3uEVyMS9E78HhT}uPm>6I)9 zsT=#zSDr+QaoC+4c1JNs5D_Y|-MOBr;E#LnuDfJQkuNMxXlO5p6C3er5~a5NKZa?t0IaMBBe^ z_xUssQJ<4)v*CU?OJnt~6e@8k*sXPawiN_5pcSXwrbr>*Ckwo-rhr9Qv`&8u@AQsMPGk#w$9g$f>J1)9b{+4##|m_supf8ExVtwP=hpzO<>_UTDgJGsm}V0LwQ6{H zWulH;t3Kg2gHn#&*~uPV#mktuQX@`^tkBPPa}q=BhU3or>wV$jH`*gNFg>){IMXV% zjL^nkB06q|Jt|W+F<}%(0oi)@?j0p1<#ub6!NclySfrD~<$QU0d3H87+B~LAg~PqN zGXXX>wg(UXnO3uZ8pcIoZf*`t8gvepa#CvQF;3%C2JXF@Dq9>99^C0^ogiF~I;M<} z*2muv(eba;oYsG3wy7{G0nF0UB0pVGilmK5rfLG|XE~UZzq+~_C^HeWhKib+1N0am z0YJr>)JtXSXhgzNcA=TJS+r2Sf5^Zvw>9;n=;7Y(?)UHCe~ygYB_=incBifFR(nl~ zc57!y%XMc!+4XRdP9vGIF83=*RU2wp&gJyrH;4|S!^0-y)iI4zAa?Fnu!Q-)lM<2{ z^&`W5FRP#sURt`FrI#GX{HVY6=p(zibB-xht11 zgM_o*XIgi%3zZm}x)btT0VpioZ1BVYBvoZGC-Lsxs%0#X{pKwB*}mv;uP3gAq~y_d z-wQ9HsY>f*4-XGMK0dP&0B}G?1_uX&h`B|Cg=G^t!+m{yH#ax4mGcJ&1^}QC;N$m1 z`8Q328Un1Hs&iU{vMc2$y2 zed3W$Z@i#uLYu0xoE#h06`{Rst&@lM??0! zwlT=B7c0=>d)y-1sz)$CtQh*urY{YEQA21R+e6kn z*U3W4UN?Hfv=C-W(K00JDnGxiZfUuNgWR7?JUcdg{hBhMNv+OBAf)+dAtglQpqI;w z_buIqA)CN$41E-pfK zT=|hInPN|=*P@a698{$g>{<1I}|1%C-B`*S6QPo1Q;^4)To@ zEuN`r?p0xQ>#A|Vl9QL_!j1e!9uyTvI1Y|J(7)K(T#hF_bLQIda&v4{)M~q@s!jhn zaCzF0lDR||eIFBLvv~N`>)O6eLKLw_weQr_Ypz)5mElLnqMm+;E&4v`uWs2)){bY{ z>aO1nx$08B`&0OCZ?ntDNRnhcZK^X``^BrR&sorCs#R|G zTBr=CKM2$-A0Lbzh1}ncl$1?NvmTc)Scs}qM8p{*p^i^4hL=sx+2@837 zvxQy~5|fnl>`Yi!HyX@U=kAq8l-wpH1S0%QfK=T{R!fWJjP6J}ma8`%>Fh_*v_#|i zFP8+gzw+zu{zmg?T->0Q&CNc~D_%LdzuE4*_s3?Dw6WP;pnG+t@8?HOV?BxQgyh3N zf6B~{bhU~XVDrX5_|QjKt+5__FD(6q@!pDRa`y6mD_s=1;OfiW*X`Q40s@}PgC|Yn zL4?6b_U7QfWYGkgK}k_N&!9pQCEYfeND}a`?p6Pkj6*_ zd0pcr3Et=y6s&csNUm~3P=3zsoZaYH`6F##?TUT_6e`BZE`=4eXvz!aWhXf^^A_1^ zfl;>X%F0bj$}TJ{$;#SU9ji=BdzTrm z$99(__z?laWVw5LJOjHvNi>fW(iPH8H@??U;=(UjYHtyB4X1if zbNk2mxWbOw{Jb~(KkHKSx{%hEm-w=?)QE|z%zl|I%GtY~u?qP%{U|7jH`LYrI(NFP z2a;w*Uf!VaDq-|h{BIcRiOQ_}Qynu)SA#{}aCM4;kY`SsR>h_|(*r-`+>?@4Rmwi4 zHd$E|npqTnB0{?SqQ)&A8no#jEFBsw)vA!A#J7=5rSW`f#`7J}WA|82Rn-yD2BN!n zc?VD3#MeFYgTahF-NJS|bep*)OG45i6K9v6nR%rD_CqHZ+z({FOq5~ww~`Xl%TKGG z^xPuaYic*bl#-NZGo}WWl+!06%Jd^y^>k*=(cxjK=|tC@1qeG6AVnV@I%xC(!cGZ6 zZtm=Gg2-%Tbv!z8>fIhfCSYW2oDC3aaZy!C$@`jl0@FEUV=n?=0D}KZ;*l!bd~hdf zYh6@SqEk|+na`kr;|f8B(TGQehksFFj9ZI+B?v^glY2rK^A_4`W8))`dL>fjz!lwH z+1TFZU}aS))WhoX%}&;6LjH)A=X%EL?Cs*EdDyOXy4l8%FYBqHsF<3RE9yR&gy(IXh&f7K zO^uJ0^}~k`+6D%+5fT6cfx`s&`-AxH9}qAzGqWM$Aaj01IreC3x$xtulr9<2b6sc zj}ZtA#`C=ZFK=A<-zjYWE5maW{Mq*(Wa;6Fp?8&EPAx4Zq*VBinn~#U_h?yZU^R+} zc#F}13D(ilQa|ywJ&NUpv~&}J-clc^@c4AxlxNNfZfeEa4VOub=oyu3LfSs2goWVD zR^j8};gONapl18hUr0+ySy);shIF7cVX!dOv4f8_lJlS7dHOZ|zj&V8!s}pr{(mq% zPlr}+Zrk5GJ~=T3tPgD)7gziB>jr}&u$^>tbP8eevTiDpYgGuEO+Jy73{ZF|EiQg5 zph*Fet#=^J3+pV2amt5?BaZOi|!5{J{*`o9u~%ck4^uEgQz=eJK++cERf z<^dnyVNcStGSi7P139_>k#=E7^4IN=;kR9_w)yiBkZ)qQD5k!F0Utj<4CiA^4A@3Y zY;0iItB+J7kw`#z;DiDR10N5FThGuCoNj2iyu8fvs(QGyGpKP&&%ofJhNimuXkVXY zR~&BuA(Id$IvN_taSsD<{*M$4g{Rh0V9VdV?wy~{BJf3)i%ncy9K>ysn{+%p(Y2&8 z%7!_Z7Pq$^fx#cmjOh`5;~-vBQxghCV`HPJDw5aR$7jT3w?MafFkefMmudRAi0` z^jXW?{1J0zPR{n$mTrNHjEu}szLqE^P>`v`h%ZY^MzmogJw0x?64KHoMMZrVhTcOK zmS%#5AtDDyN5Ig3R#pOog33UGWo324#lCry7Sp3adw67I%1RoK2MzD~MOiBn0*DG3 zV{E((@+UPFl^E(e4vy)C>q?kscD%pg=7u09j)f?PEh;bp&~on6(HZLNx0*6hQ6*Pb zAA?>4N-RhVAf93-{Wla;V#>b{{o=vX5`mo0kUVD#c>wYj^c|4b(+!A%gMyra%)=GH zZi2l9F4oLdM#M$({D$*BW2M0Juu=_y2O;Im2!RBwmq)h%hmZhMq6fJf4L7RZI zRy*trpbCZk0Y9!O8vfhaCy)0|zx9T_NXuc}<8UTmjv@wpPe8D<&`S+Qz=c(l&Zoas zeB~n6RHczIg@wQRtiZC?EPm5VY+Btgv(eVp2F|}?x(N*7ytpIK4a8jxIS5+A2XJR? zufiLr&!kZgvMF08FkutMu3VU2n-S*U6^;5xBd_$#>>Pgn&$f5Lwz4BU_?%uuU*sx# zf-F5)A<0qo$71jedaml4hr()Rc-UV6T1 literal 2230 zcmV;n2ub&eP)Wk3B1usKO)Zo%B1)SNo0$(8n-4SEyuUvV+~3u0_d9LP ztn>Qop3nK5^Ev1EzGr9WGsFmj0EmAZ##RpivGpJkAdm(*8c z1z|CAb8{miBFN&Joj{>bw6wHXd`Jk3($dnRP$;MtroK~ibF-z!gV+Kv3|nVGX95Hg z0Ro8t0gwnR&)2VCF$|lVn=@~>;o;%;?%ms5TO@*Q%&+|6scc3Bd_KRnw)WR!BaC6< z3itK(ojrT@*TbQm0I_iq96NSwU|`_%>C+g7g@=a&02UV)rBbQ4x3`m%lSm{QA0LOF z!NI{rMMd%P@i>nA`T0G6{v6sXDk`{KuD!i|R8-X9;2<>4%*-4=ew@W(?cKZg)TvYR z^YdgUg@uK&v9Y^$?aIi=@bmM7_M)O948!DdIRK!)zu(c(QLELi^KWWu5{X0@hA|in zE|*(eTukQ8gM)($3JRj4qHr7!2?^=x>7lpN%#j+dq@={x*B4e%pQom#L?RK6;{gEy zt*x!(VjApLe}#?B!dxE*fS@3g$<|p65*iwM|NeclC>D!_LZMtPSE*Ead3gs99@Ob{ z1VID^1+m%e{{H@@rKRHHVit?Fy1M%D<40?2>+bGujYiYk+k5%)W!OnfOiXfe^5o>? z#Kc5gTwHQ;GPDN;1-ZJq_Vn~!duLOXo3l}e>tF1NS0hYlp4KYs=QjE;`N;=6b6003XUe1V-n?L+u{ zeoak{N~LmibgZeVNl#BF2qHE%wxXf}I;``ja_7#SqeqXDZu$B7WR<_aKh%>!JN+Du zg(Ddm836!HPfx>QM@I(~0Zq3CMW8$@^_Kn@xrj z2m~D+9bH{r5fKr|$;q9aor{Z$y}i8xfq?X(`ZqT>hlGSUI5=P!CY4H+N+nt4mx9ORnX+_LXl7v+HX{NC#@yT-Raq%1DKyPf zQc~L5+FreS6(1iT9UZ;AyzJ%WrPXRDCMKW*e099MykL=f*DVkTIy*bt+uIWo5?ozf z-QC@9-@fhQ;^Ob`Px_Gl)6>(LnVHwFU7MPkT3uZ&FE5AZ1_=BcK;&|{r>CbeJN+E> zuj1F?>FK$&v@|m_L-zTfOGjN{`dOHT&4|Fw&24CC2o8nKW~Zj6N+gm`pFS-wFTZ~M zS}Yd-`0>M7+xGVMf`WpPk&&N2f9iBPjYhM&y6WTO6CE9$lan(wHKkA}E?v4L6bjwk z-1M7AMniYV6`05J;g0iwQ>NY?HcJAotxMRnTzP`Tl@^WfzWo6}y7cUkT7H-_Q zp;RixVzDv1>2oxAFy!%ghYlUOaN)x2?5tca&(F_?4m90TSD1blW??fTxO(;KvuDrj z?Cjv#wXUvi|Ni|#p^(L5UA%ZvB9YkG*cfXY6BFa)S_%gY}=eCXid005B5 zWDX7v2M!zv4Gs11@TjY+GuYh5#wIc{($>~CFfb4RkdTm|R;!JPfWzUGmX>B_X5u)W zo11&&$PsGoxpU_V3k%)d-5VMjo<4oLXU`rQ`-bMIk4z?8TwLVwcp{PLg(%GxBpE5vmXo*e*s7Y2t&Ut`WJZf=FNuee>Z3+Kp+ty z{xlJ+tgK*$U@|TDv6YmRL=Bykl(eDd+cD4nXNkbp)|UL19tyW8=QZAS4?CgC0{Q0G&CH*Y0DM4dn zW8vKwWO#U($z+mqv;@>k0}Edk8B4rEs5^nhveg7ZBqkO`}gm^ zfB#-pRrUDsV?r+hXiCt9g#{ePySuw#RbF0RQc}_{udY#mSyIWCffRv-v(<@-iPV?m z(W6Jye#lHNd{c*qhu008Dgx7k=H%p@IB|j?h?SKU7Z;b-*4E7}nkndu;Lkb}7{tQa zYOwZ9aQN_HgPGj1u`w$vD>5%^5YvNZXJ@yxw0!&at+~0G$z;-}Va?7q5P^lW)$1^p z$>nf3I-L%_>r|*&VAF#J1O$YIh1J&9R#sL@Bob?DYm=77Ol*ULp@p;6>oAtdWwY5L zkti!G>%)f+DwV3by86kJCtz(Bctb(6v$IP}OJBZxX_g-lZ-{NM69CI*tJgu3$$jwP zL118DVq&6?kI%rsKwMlL(95%%9#kwAGZ>7xxHy_`Nxuu~9{Wcf4F5G&R#tZJ-rd;P z_`3sv?RYT!7a$1Y?%lg~c6MoLX_k-v+eI)oHl}|KERjflciip8&Ye5U%F3#%t1Wya zg#7k9c@Bp|pnsM4UuZO%EsTyn4iHEL2qXdoKq5c@g9pQmj10?<1F?my*$KS7ywcOt zw`wQ|%aER)PUbHl82bK(KxYC35&;5<00EE)5CDMx0j`}7eoIjqHvj+t07*qoM6N<$ Eg1Ov4asU7T diff --git a/tensorwrapper_cxx_api/inherits.html b/tensorwrapper_cxx_api/inherits.html index 0a7008c7..5b687855 100644 --- a/tensorwrapper_cxx_api/inherits.html +++ b/tensorwrapper_cxx_api/inherits.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              @@ -69,19 +69,49 @@

                                                                                              Go to the textual class hierarchy

                                                                                              - + + + + - - - - - - - - - - - - - - - - - - - - - @@ -89,67 +89,154 @@
                                                                                              17 
                                                                                              18 #pragma once
                                                                                              19 #include <iostream>
                                                                                              -
                                                                                              20 #include <tensorwrapper/dsl/pairwise_parser.hpp>
                                                                                              -
                                                                                              21 #include <type_traits>
                                                                                              -
                                                                                              22 #include <utilities/dsl/dsl.hpp>
                                                                                              -
                                                                                              23 namespace tensorwrapper::dsl {
                                                                                              +
                                                                                              20 #include <tensorwrapper/dsl/dummy_indices.hpp>
                                                                                              +
                                                                                              21 #include <tensorwrapper/dsl/pairwise_parser.hpp>
                                                                                              +
                                                                                              22 #include <type_traits>
                                                                                              +
                                                                                              23 #include <utilities/dsl/dsl.hpp>
                                                                                              24 
                                                                                              -
                                                                                              27 template<typename ObjectType, typename LabelType = std::string>
                                                                                              -
                                                                                              28 class Labeled : public utilities::dsl::BinaryOp<Labeled<ObjectType, LabelType>,
                                                                                              -
                                                                                              29  ObjectType, LabelType> {
                                                                                              -
                                                                                              30 private:
                                                                                              -
                                                                                              32  using my_type = Labeled<ObjectType, LabelType>;
                                                                                              -
                                                                                              33 
                                                                                              -
                                                                                              35  using op_type = utilities::dsl::BinaryOp<my_type, ObjectType, LabelType>;
                                                                                              -
                                                                                              36 
                                                                                              -
                                                                                              38  template<typename T>
                                                                                              -
                                                                                              39  static constexpr bool is_cv_v = !std::is_same_v<std::decay_t<T>, T>;
                                                                                              -
                                                                                              40 
                                                                                              -
                                                                                              42  static constexpr bool has_cv_object_v = is_cv_v<ObjectType>;
                                                                                              -
                                                                                              43 
                                                                                              -
                                                                                              45  template<typename T>
                                                                                              -
                                                                                              46  static constexpr bool is_cv_conversion_v = has_cv_object_v && !is_cv_v<T>;
                                                                                              -
                                                                                              47 
                                                                                              -
                                                                                              49  template<typename T>
                                                                                              -
                                                                                              50  using enable_if_cv_conversion_t = std::enable_if_t<is_cv_conversion_v<T>>;
                                                                                              +
                                                                                              25 namespace tensorwrapper::dsl {
                                                                                              +
                                                                                              26 
                                                                                              +
                                                                                              40 template<typename ObjectType, typename StringType = std::string>
                                                                                              +
                                                                                              41 class Labeled : public utilities::dsl::Term<Labeled<ObjectType, StringType>> {
                                                                                              +
                                                                                              42 private:
                                                                                              +
                                                                                              44  using my_type = Labeled<ObjectType, StringType>;
                                                                                              +
                                                                                              45 
                                                                                              +
                                                                                              47  using const_my_type = Labeled<const std::decay_t<ObjectType>, StringType>;
                                                                                              +
                                                                                              48 
                                                                                              +
                                                                                              50  using op_type = utilities::dsl::Term<my_type>;
                                                                                              51 
                                                                                              -
                                                                                              52 public:
                                                                                              -
                                                                                              54  using object_type = std::decay_t<ObjectType>;
                                                                                              +
                                                                                              53  template<typename T>
                                                                                              +
                                                                                              54  static constexpr bool is_cv_v = !std::is_same_v<std::decay_t<T>, T>;
                                                                                              55 
                                                                                              -
                                                                                              57  using label_type = LabelType;
                                                                                              +
                                                                                              57  static constexpr bool has_cv_object_v = is_cv_v<ObjectType>;
                                                                                              58 
                                                                                              -
                                                                                              66  Labeled() = default;
                                                                                              -
                                                                                              67 
                                                                                              -
                                                                                              86  template<typename ObjectType2, typename LabelType2>
                                                                                              -
                                                                                              87  Labeled(ObjectType2&& object, LabelType2&& labels) :
                                                                                              -
                                                                                              88  op_type(std::forward<ObjectType2>(object),
                                                                                              -
                                                                                              89  LabelType(std::forward<LabelType2>(labels))) {}
                                                                                              -
                                                                                              90 
                                                                                              -
                                                                                              102  template<typename ObjectType2,
                                                                                              -
                                                                                              103  typename = enable_if_cv_conversion_t<ObjectType2>>
                                                                                              -
                                                                                              104  Labeled(const Labeled<ObjectType2, LabelType>& input) :
                                                                                              -
                                                                                              105  Labeled(input.lhs(), input.rhs()) {}
                                                                                              -
                                                                                              106 
                                                                                              -
                                                                                              119  template<typename TermType>
                                                                                              -
                                                                                              120  my_type& operator=(TermType&& other) {
                                                                                              -
                                                                                              121  // TODO: other should be rolled into a tensor graph object that can be
                                                                                              -
                                                                                              122  // manipulated at runtime. Parser is then moved to the backend
                                                                                              -
                                                                                              123  PairwiseParser<ObjectType, LabelType> p;
                                                                                              -
                                                                                              124  *this = p.dispatch(std::move(*this), std::forward<TermType>(other));
                                                                                              -
                                                                                              125  return *this;
                                                                                              -
                                                                                              126  }
                                                                                              -
                                                                                              127 };
                                                                                              -
                                                                                              128 
                                                                                              -
                                                                                              129 } // namespace tensorwrapper::dsl
                                                                                              -
                                                                                              tensorwrapper::dsl::Labeled
                                                                                              Represents an object whose modes are assigned dummy indices.
                                                                                              Definition: labeled.hpp:29
                                                                                              -
                                                                                              tensorwrapper::dsl::Labeled::Labeled
                                                                                              Labeled(const Labeled< ObjectType2, LabelType > &input)
                                                                                              Allows implicit conversion from mutable objects to const objects.
                                                                                              Definition: labeled.hpp:104
                                                                                              -
                                                                                              tensorwrapper::dsl::Labeled::Labeled
                                                                                              Labeled(ObjectType2 &&object, LabelType2 &&labels)
                                                                                              Ensures labels are stored correctly.
                                                                                              Definition: labeled.hpp:87
                                                                                              -
                                                                                              tensorwrapper::dsl::Labeled::object_type
                                                                                              std::decay_t< ObjectType > object_type
                                                                                              Type of the object (useful for TMP)
                                                                                              Definition: labeled.hpp:54
                                                                                              -
                                                                                              tensorwrapper::dsl::Labeled::label_type
                                                                                              LabelType label_type
                                                                                              Type of the labels (useful for TMP)
                                                                                              Definition: labeled.hpp:57
                                                                                              -
                                                                                              tensorwrapper::dsl::Labeled::operator=
                                                                                              my_type & operator=(TermType &&other)
                                                                                              Assigns a DSL term to *this.
                                                                                              Definition: labeled.hpp:120
                                                                                              -
                                                                                              tensorwrapper::dsl::Labeled::Labeled
                                                                                              Labeled()=default
                                                                                              Creates a Labeled object that does not alias an object or labels.
                                                                                              -
                                                                                              tensorwrapper::dsl::PairwiseParser
                                                                                              Object which evaluates the AST of an expression pairwise.
                                                                                              Definition: pairwise_parser.hpp:38
                                                                                              -
                                                                                              tensorwrapper::dsl::PairwiseParser::dispatch
                                                                                              auto dispatch(labeled_type lhs, labeled_type rhs)
                                                                                              Recursion end-point.
                                                                                              Definition: pairwise_parser.hpp:58
                                                                                              +
                                                                                              60  template<typename T, typename U>
                                                                                              +
                                                                                              61  using if_cv_t = std::conditional_t<has_cv_object_v, T, U>;
                                                                                              +
                                                                                              62 
                                                                                              +
                                                                                              64  template<typename T>
                                                                                              +
                                                                                              65  static constexpr bool is_cv_conversion_v = has_cv_object_v && !is_cv_v<T>;
                                                                                              +
                                                                                              66 
                                                                                              +
                                                                                              68  template<typename T>
                                                                                              +
                                                                                              69  using enable_if_cv_conversion_t = std::enable_if_t<is_cv_conversion_v<T>>;
                                                                                              +
                                                                                              70 
                                                                                              +
                                                                                              71 public:
                                                                                              +
                                                                                              72  // -------------------------------------------------------------------------
                                                                                              +
                                                                                              73  // -- Types associated with the object
                                                                                              +
                                                                                              74  // -------------------------------------------------------------------------
                                                                                              +
                                                                                              75 
                                                                                              +
                                                                                              77  using object_type = std::decay_t<ObjectType>;
                                                                                              +
                                                                                              78 
                                                                                              +
                                                                                              80  using const_object_reference = const object_type&;
                                                                                              +
                                                                                              81 
                                                                                              +
                                                                                              83  using object_reference = if_cv_t<const_object_reference, object_type&>;
                                                                                              +
                                                                                              84 
                                                                                              +
                                                                                              85  // -------------------------------------------------------------------------
                                                                                              +
                                                                                              86  // -- Types associated with the labels
                                                                                              +
                                                                                              87  // -------------------------------------------------------------------------
                                                                                              +
                                                                                              88 
                                                                                              +
                                                                                              90  using string_type = StringType;
                                                                                              +
                                                                                              91 
                                                                                              +
                                                                                              93  using label_type = dsl::DummyIndices<string_type>;
                                                                                              +
                                                                                              94 
                                                                                              +
                                                                                              96  using label_reference = label_type&;
                                                                                              +
                                                                                              97 
                                                                                              +
                                                                                              99  using const_label_reference = const label_type&;
                                                                                              +
                                                                                              100 
                                                                                              +
                                                                                              119  template<typename ObjectType2, typename LabelType>
                                                                                              +
                                                                                              120  Labeled(ObjectType2&& object, LabelType&& labels) :
                                                                                              +
                                                                                              121  m_object_(&object), m_labels_(std::forward<LabelType>(labels)) {}
                                                                                              +
                                                                                              122 
                                                                                              +
                                                                                              137  template<typename ObjectType2,
                                                                                              +
                                                                                              138  typename = enable_if_cv_conversion_t<ObjectType2>>
                                                                                              +
                                                                                              139  Labeled(const Labeled<ObjectType2, StringType>& input) :
                                                                                              +
                                                                                              140  Labeled(input.object(), input.labels()) {}
                                                                                              +
                                                                                              141 
                                                                                              +
                                                                                              153  Labeled(const Labeled& other) = default;
                                                                                              +
                                                                                              154 
                                                                                              +
                                                                                              167  Labeled(Labeled&& other) noexcept = default;
                                                                                              +
                                                                                              168 
                                                                                              +
                                                                                              189  Labeled& operator=(const Labeled& rhs) { return assign_(rhs); };
                                                                                              +
                                                                                              190 
                                                                                              +
                                                                                              205  Labeled& operator=(Labeled&& rhs) { return assign_(std::move(rhs)); }
                                                                                              +
                                                                                              206 
                                                                                              +
                                                                                              221  template<typename TermType>
                                                                                              +
                                                                                              222  my_type& operator=(TermType&& other) {
                                                                                              +
                                                                                              223  return assign_(std::forward<TermType>(other));
                                                                                              +
                                                                                              224  }
                                                                                              +
                                                                                              225 
                                                                                              +
                                                                                              237  object_reference object() {
                                                                                              +
                                                                                              238  assert_has_object_();
                                                                                              +
                                                                                              239  return *m_object_;
                                                                                              +
                                                                                              240  }
                                                                                              +
                                                                                              241 
                                                                                              +
                                                                                              253  const_object_reference object() const {
                                                                                              +
                                                                                              254  assert_has_object_();
                                                                                              +
                                                                                              255  return *m_object_;
                                                                                              +
                                                                                              256  }
                                                                                              +
                                                                                              257 
                                                                                              +
                                                                                              268  label_reference labels() noexcept { return m_labels_; }
                                                                                              +
                                                                                              269 
                                                                                              +
                                                                                              280  const_label_reference labels() const noexcept { return m_labels_; }
                                                                                              +
                                                                                              281 
                                                                                              +
                                                                                              291  bool has_object() const noexcept { return static_cast<bool>(m_object_); }
                                                                                              +
                                                                                              292 
                                                                                              +
                                                                                              306  bool operator==(const const_my_type& rhs) const noexcept {
                                                                                              +
                                                                                              307  if(has_object() != rhs.has_object()) return false;
                                                                                              +
                                                                                              308  if(labels() != rhs.labels()) return false;
                                                                                              +
                                                                                              309  if(!has_object()) return true;
                                                                                              +
                                                                                              310  return object().are_equal(rhs.object());
                                                                                              +
                                                                                              311  }
                                                                                              +
                                                                                              312 
                                                                                              +
                                                                                              324  bool operator!=(const const_my_type& rhs) const noexcept {
                                                                                              +
                                                                                              325  return !((*this) == rhs);
                                                                                              +
                                                                                              326  }
                                                                                              +
                                                                                              327 
                                                                                              +
                                                                                              328 private:
                                                                                              +
                                                                                              330  using const_object_pointer = const object_type*;
                                                                                              +
                                                                                              331 
                                                                                              +
                                                                                              333  using object_pointer = if_cv_t<const_object_pointer, object_type*>;
                                                                                              +
                                                                                              334 
                                                                                              +
                                                                                              336  void assert_has_object_() const {
                                                                                              +
                                                                                              337  if(has_object()) return;
                                                                                              +
                                                                                              338  throw std::runtime_error("Object is null. Was it moved from?");
                                                                                              +
                                                                                              339  }
                                                                                              +
                                                                                              340 
                                                                                              +
                                                                                              342  template<typename TermType>
                                                                                              +
                                                                                              343  Labeled& assign_(TermType&& other) {
                                                                                              +
                                                                                              344  // TODO: other should be rolled into a tensor graph object that can
                                                                                              +
                                                                                              345  // be manipulated at runtime. Parser is then moved to the backend
                                                                                              +
                                                                                              346  PairwiseParser p;
                                                                                              +
                                                                                              347  p.dispatch(*this, std::forward<TermType>(other));
                                                                                              +
                                                                                              348  return *this;
                                                                                              +
                                                                                              349  }
                                                                                              +
                                                                                              350 
                                                                                              +
                                                                                              352  object_pointer m_object_ = nullptr;
                                                                                              +
                                                                                              353 
                                                                                              +
                                                                                              355  label_type m_labels_;
                                                                                              +
                                                                                              356 };
                                                                                              +
                                                                                              357 
                                                                                              +
                                                                                              358 } // namespace tensorwrapper::dsl
                                                                                              + +
                                                                                              tensorwrapper::dsl::Labeled
                                                                                              Represents an object whose modes are assigned dummy indices.
                                                                                              Definition: labeled.hpp:41
                                                                                              +
                                                                                              tensorwrapper::dsl::Labeled::Labeled
                                                                                              Labeled(ObjectType2 &&object, LabelType &&labels)
                                                                                              Associates a set of dummy indices with an object.
                                                                                              Definition: labeled.hpp:120
                                                                                              +
                                                                                              tensorwrapper::dsl::Labeled::label_type
                                                                                              dsl::DummyIndices< string_type > label_type
                                                                                              Type of the object managing the parsed index labels.
                                                                                              Definition: labeled.hpp:93
                                                                                              +
                                                                                              tensorwrapper::dsl::Labeled::has_object
                                                                                              bool has_object() const noexcept
                                                                                              Does *this have an object?
                                                                                              Definition: labeled.hpp:291
                                                                                              +
                                                                                              tensorwrapper::dsl::Labeled::const_object_reference
                                                                                              const object_type & const_object_reference
                                                                                              Type of a read-only reference to an object of object_type.
                                                                                              Definition: labeled.hpp:80
                                                                                              +
                                                                                              tensorwrapper::dsl::Labeled::labels
                                                                                              const_label_reference labels() const noexcept
                                                                                              Returns a read-only reference to the dummy labels.
                                                                                              Definition: labeled.hpp:280
                                                                                              +
                                                                                              tensorwrapper::dsl::Labeled::labels
                                                                                              label_reference labels() noexcept
                                                                                              The dummy indices associated with the object.
                                                                                              Definition: labeled.hpp:268
                                                                                              +
                                                                                              tensorwrapper::dsl::Labeled::object_type
                                                                                              std::decay_t< ObjectType > object_type
                                                                                              Type of the object (useful for TMP)
                                                                                              Definition: labeled.hpp:77
                                                                                              +
                                                                                              tensorwrapper::dsl::Labeled::operator!=
                                                                                              bool operator!=(const const_my_type &rhs) const noexcept
                                                                                              Is *this different from rhs?
                                                                                              Definition: labeled.hpp:324
                                                                                              +
                                                                                              tensorwrapper::dsl::Labeled::operator=
                                                                                              my_type & operator=(TermType &&other)
                                                                                              Assigns a DSL term to *this.
                                                                                              Definition: labeled.hpp:222
                                                                                              +
                                                                                              tensorwrapper::dsl::Labeled::Labeled
                                                                                              Labeled(Labeled &&other) noexcept=default
                                                                                              Creates a new Labeled object by taking the state from other.
                                                                                              +
                                                                                              tensorwrapper::dsl::Labeled::object
                                                                                              object_reference object()
                                                                                              Returns a (possibly) read-only reference to the object.
                                                                                              Definition: labeled.hpp:237
                                                                                              +
                                                                                              tensorwrapper::dsl::Labeled::operator=
                                                                                              Labeled & operator=(const Labeled &rhs)
                                                                                              Sets *this equal to rhs.
                                                                                              Definition: labeled.hpp:189
                                                                                              +
                                                                                              tensorwrapper::dsl::Labeled::operator=
                                                                                              Labeled & operator=(Labeled &&rhs)
                                                                                              Sets *this equal to rhs.
                                                                                              Definition: labeled.hpp:205
                                                                                              +
                                                                                              tensorwrapper::dsl::Labeled::object_reference
                                                                                              if_cv_t< const_object_reference, object_type & > object_reference
                                                                                              Type of a (possibly) mutable reference to an object of object_type.
                                                                                              Definition: labeled.hpp:83
                                                                                              +
                                                                                              tensorwrapper::dsl::Labeled::Labeled
                                                                                              Labeled(const Labeled &other)=default
                                                                                              Creates a new Labeled object by copying other.
                                                                                              +
                                                                                              tensorwrapper::dsl::Labeled::Labeled
                                                                                              Labeled(const Labeled< ObjectType2, StringType > &input)
                                                                                              Allows implicit conversion from mutable objects to const objects.
                                                                                              Definition: labeled.hpp:139
                                                                                              +
                                                                                              tensorwrapper::dsl::Labeled::object
                                                                                              const_object_reference object() const
                                                                                              Returns a read-only reference to the labeled object.
                                                                                              Definition: labeled.hpp:253
                                                                                              +
                                                                                              tensorwrapper::dsl::Labeled::string_type
                                                                                              StringType string_type
                                                                                              Type of the string literal used for index labels.
                                                                                              Definition: labeled.hpp:90
                                                                                              +
                                                                                              tensorwrapper::dsl::Labeled::operator==
                                                                                              bool operator==(const const_my_type &rhs) const noexcept
                                                                                              Determines if *this is value equal to rhs.
                                                                                              Definition: labeled.hpp:306
                                                                                              diff --git a/tensorwrapper_cxx_api/layout_8hpp_source.html b/tensorwrapper_cxx_api/layout_8hpp_source.html index 22845311..b598ac58 100644 --- a/tensorwrapper_cxx_api/layout_8hpp_source.html +++ b/tensorwrapper_cxx_api/layout_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              diff --git a/tensorwrapper_cxx_api/layout__base_8hpp_source.html b/tensorwrapper_cxx_api/layout__base_8hpp_source.html index 8648d46e..f85f0524 100644 --- a/tensorwrapper_cxx_api/layout__base_8hpp_source.html +++ b/tensorwrapper_cxx_api/layout__base_8hpp_source.html @@ -22,7 +22,7 @@ @@ -200,7 +200,7 @@
                                                                                              242 
                                                                                              243 } // namespace tensorwrapper::layout
                                                                                              tensorwrapper::detail_::PolymorphicBase
                                                                                              Defines the API polymorphic utility methods should use.
                                                                                              Definition: polymorphic_base.hpp:33
                                                                                              -
                                                                                              tensorwrapper::detail_::PolymorphicBase< LayoutBase >::clone
                                                                                              base_pointer clone() const
                                                                                              Creates a deep polymorphic copy of *this via the base class.
                                                                                              Definition: polymorphic_base.hpp:71
                                                                                              +
                                                                                              tensorwrapper::detail_::PolymorphicBase< LayoutBase >::clone
                                                                                              base_pointer clone() const
                                                                                              Creates a deep polymorphic copy of *this via the base class.
                                                                                              Definition: polymorphic_base.hpp:74
                                                                                              tensorwrapper::layout::LayoutBase
                                                                                              Common base class for all layouts.
                                                                                              Definition: layout_base.hpp:28
                                                                                              tensorwrapper::layout::LayoutBase::operator!=
                                                                                              bool operator!=(const layout_base &rhs) const noexcept
                                                                                              Is *this different from rhs?
                                                                                              Definition: layout_base.hpp:210
                                                                                              tensorwrapper::layout::LayoutBase::sparsity
                                                                                              const_sparsity_reference sparsity() const
                                                                                              Provides access to the sparsity of the layout.
                                                                                              Definition: layout_base.hpp:175
                                                                                              @@ -218,10 +218,10 @@
                                                                                              tensorwrapper::layout::LayoutBase::shape_pointer
                                                                                              typename shape_base::base_pointer shape_pointer
                                                                                              Pointer to the base type of a shape object.
                                                                                              Definition: layout_base.hpp:49
                                                                                              tensorwrapper::layout::LayoutBase::symmetry_pointer
                                                                                              std::unique_ptr< symmetry_type > symmetry_pointer
                                                                                              Type of a pointer to an object of type symmetry_type.
                                                                                              Definition: layout_base.hpp:58
                                                                                              tensorwrapper::layout::LayoutBase::LayoutBase
                                                                                              LayoutBase(const_shape_reference shape)
                                                                                              Initialize by shape copy ctor.
                                                                                              Definition: layout_base.hpp:103
                                                                                              -
                                                                                              tensorwrapper::shape::ShapeBase
                                                                                              Code factorization for the various types of shapes.
                                                                                              Definition: shape_base.hpp:40
                                                                                              -
                                                                                              tensorwrapper::shape::ShapeBase::base_pointer
                                                                                              typename traits_type::base_pointer base_pointer
                                                                                              Type of a pointer to the base of a shape object.
                                                                                              Definition: shape_base.hpp:50
                                                                                              -
                                                                                              tensorwrapper::sparsity::Pattern
                                                                                              Base class for objects describing the sparsity of a tensor.
                                                                                              Definition: pattern.hpp:22
                                                                                              -
                                                                                              tensorwrapper::symmetry::Group
                                                                                              Container of the symmetry elements for a tensor.
                                                                                              Definition: group.hpp:37
                                                                                              +
                                                                                              tensorwrapper::shape::ShapeBase
                                                                                              Code factorization for the various types of shapes.
                                                                                              Definition: shape_base.hpp:42
                                                                                              +
                                                                                              tensorwrapper::shape::ShapeBase::base_pointer
                                                                                              typename traits_type::base_pointer base_pointer
                                                                                              Type of a pointer to the base of a shape object.
                                                                                              Definition: shape_base.hpp:60
                                                                                              +
                                                                                              tensorwrapper::sparsity::Pattern
                                                                                              Base class for objects describing the sparsity of a tensor.
                                                                                              Definition: pattern.hpp:25
                                                                                              +
                                                                                              tensorwrapper::symmetry::Group
                                                                                              Container of the symmetry elements for a tensor.
                                                                                              Definition: group.hpp:42
                                                                                              tensorwrapper::layout
                                                                                              Namespace for classes used to spe.
                                                                                              Definition: layout.hpp:22
                                                                                              diff --git a/tensorwrapper_cxx_api/logical_8hpp_source.html b/tensorwrapper_cxx_api/logical_8hpp_source.html index ee205260..70f2499f 100644 --- a/tensorwrapper_cxx_api/logical_8hpp_source.html +++ b/tensorwrapper_cxx_api/logical_8hpp_source.html @@ -22,7 +22,7 @@                                                                                               @@ -145,9 +145,9 @@
                                                                                              tensorwrapper::layout::Logical
                                                                                              Specializes a LayoutBase for a layout describing how a user wants to view the tensor.
                                                                                              Definition: logical.hpp:27
                                                                                              tensorwrapper::layout::Logical::are_equal_
                                                                                              bool are_equal_(const layout_base &rhs) const noexcept override
                                                                                              Implements are_equal by calling are_equal_impl_.
                                                                                              Definition: logical.hpp:63
                                                                                              tensorwrapper::layout::Logical::clone_
                                                                                              layout_pointer clone_() const override
                                                                                              Implements clone by calling copy ctor.
                                                                                              Definition: logical.hpp:58
                                                                                              -
                                                                                              tensorwrapper::shape::ShapeBase
                                                                                              Code factorization for the various types of shapes.
                                                                                              Definition: shape_base.hpp:40
                                                                                              -
                                                                                              tensorwrapper::sparsity::Pattern
                                                                                              Base class for objects describing the sparsity of a tensor.
                                                                                              Definition: pattern.hpp:22
                                                                                              -
                                                                                              tensorwrapper::symmetry::Group
                                                                                              Container of the symmetry elements for a tensor.
                                                                                              Definition: group.hpp:37
                                                                                              +
                                                                                              tensorwrapper::shape::ShapeBase
                                                                                              Code factorization for the various types of shapes.
                                                                                              Definition: shape_base.hpp:42
                                                                                              +
                                                                                              tensorwrapper::sparsity::Pattern
                                                                                              Base class for objects describing the sparsity of a tensor.
                                                                                              Definition: pattern.hpp:25
                                                                                              +
                                                                                              tensorwrapper::symmetry::Group
                                                                                              Container of the symmetry elements for a tensor.
                                                                                              Definition: group.hpp:42
                                                                                              tensorwrapper::layout
                                                                                              Namespace for classes used to spe.
                                                                                              Definition: layout.hpp:22
                                                                                              diff --git a/tensorwrapper_cxx_api/namespacemembers.html b/tensorwrapper_cxx_api/namespacemembers.html index 5011fd55..a655f361 100644 --- a/tensorwrapper_cxx_api/namespacemembers.html +++ b/tensorwrapper_cxx_api/namespacemembers.html @@ -22,7 +22,7 @@                                                                                               diff --git a/tensorwrapper_cxx_api/namespacemembers_func.html b/tensorwrapper_cxx_api/namespacemembers_func.html index cdc241de..7a975c71 100644 --- a/tensorwrapper_cxx_api/namespacemembers_func.html +++ b/tensorwrapper_cxx_api/namespacemembers_func.html @@ -22,7 +22,7 @@ diff --git a/tensorwrapper_cxx_api/namespacemembers_type.html b/tensorwrapper_cxx_api/namespacemembers_type.html index acd51266..0a97fd59 100644 --- a/tensorwrapper_cxx_api/namespacemembers_type.html +++ b/tensorwrapper_cxx_api/namespacemembers_type.html @@ -22,7 +22,7 @@ diff --git a/tensorwrapper_cxx_api/namespacemembers_vars.html b/tensorwrapper_cxx_api/namespacemembers_vars.html index 772a53a4..2b521745 100644 --- a/tensorwrapper_cxx_api/namespacemembers_vars.html +++ b/tensorwrapper_cxx_api/namespacemembers_vars.html @@ -22,7 +22,7 @@ diff --git a/tensorwrapper_cxx_api/namespaces.html b/tensorwrapper_cxx_api/namespaces.html index 280c22ab..32617975 100644 --- a/tensorwrapper_cxx_api/namespaces.html +++ b/tensorwrapper_cxx_api/namespaces.html @@ -22,7 +22,7 @@ @@ -80,41 +80,42 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
                                                                                              +
                                                                                              + + + +
                                                                                              + + + + + + + + +
                                                                                              + + + + + +
                                                                                              + + + + + + +
                                                                                              +
                                                                                              +
                                                                                              @@ -90,12 +120,12 @@
                                                                                              +
                                                                                              +
                                                                                              @@ -104,7 +134,7 @@
                                                                                              +
                                                                                              @@ -112,93 +142,74 @@
                                                                                              +
                                                                                              - - - - - -
                                                                                              +
                                                                                              +
                                                                                              +
                                                                                              +
                                                                                              - - - - +
                                                                                              + + +
                                                                                              - - - +
                                                                                              + +
                                                                                              - - - -
                                                                                              +
                                                                                              +
                                                                                              +
                                                                                              +
                                                                                              +
                                                                                              - - - -
                                                                                              +
                                                                                              diff --git a/tensorwrapper_cxx_api/labeled_8hpp_source.html b/tensorwrapper_cxx_api/labeled_8hpp_source.html index 33a3da2f..d2d96cd4 100644 --- a/tensorwrapper_cxx_api/labeled_8hpp_source.html +++ b/tensorwrapper_cxx_api/labeled_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                               CLocalEstablishes that the state in the buffer is obtainable without communication
                                                                                               CReplicatedDenotes that a buffer is the same on all processes
                                                                                               ▼Ndetail_Inline utilities and functions needed to implement the TensorWrapper library, but not considered part of the public API
                                                                                               CPolymorphicBaseDefines the API polymorphic utility methods should use
                                                                                               CTensorInputType capable of holding all valid inputs to a Tensor's ctor
                                                                                               CIsTuple
                                                                                               CIsTuple< std::tuple< Args... > >
                                                                                               CTensorFactoryObject which helps create tensor objects
                                                                                               CTensorPIMPLActually implements a Tensor object
                                                                                               ▼Ndsl
                                                                                               CLabeledRepresents an object whose modes are assigned dummy indices
                                                                                               CPairwiseParserObject which evaluates the AST of an expression pairwise
                                                                                               CDummyIndicesClass to help deal with string-based dummy indices
                                                                                               Neigen
                                                                                               ▼NlayoutNamespace for classes used to spe
                                                                                               CLayoutBaseCommon base class for all layouts
                                                                                               CLogicalSpecializes a LayoutBase for a layout describing how a user wants to view the tensor
                                                                                               CPhysicalSpecializes a LayoutBase for a layout describing how a tensor is actually laid out at runtime
                                                                                               ▼NshapeSublibrary focused on describing the geometry of the tensor
                                                                                               ▼Ndetail_
                                                                                               CSmoothViewPIMPLDefines the API for all SmoothView PIMPLs
                                                                                               CSmoothAliasImplements SmoothView by wrapping a Smooth object
                                                                                               CShapeBaseCode factorization for the various types of shapes
                                                                                               CSmoothViewWraps existing state in an API compatible with SmoothView
                                                                                               CShapeTraits
                                                                                               CShapeTraits< ShapeBase >
                                                                                               CShapeTraits< const ShapeBase >
                                                                                               CShapeTraits< Smooth >
                                                                                               CShapeTraits< const Smooth >
                                                                                               CShapeTraits< SmoothView< T > >
                                                                                               CSmoothDescribes the shape of a "traditional" tensor
                                                                                               ▼NsparsityNamespace containing classes used to express the sparsity of a tensor
                                                                                               CPatternBase class for objects describing the sparsity of a tensor
                                                                                               ▼NsymmetrySublibrary providing classes for describing the symmetry of a tensor
                                                                                               CGroupContainer of the symmetry elements for a tensor
                                                                                               COperationCommon API for classes describing a symmetry operation
                                                                                               CPermutationDescribes a permutation of a tensor's modes
                                                                                               CTensorRepresents a multi-dimensional array of values
                                                                                               CDSLBaseCode factorization for objects that are composable via the DSL
                                                                                               CPolymorphicBaseDefines the API polymorphic utility methods should use
                                                                                               CTensorInputType capable of holding all valid inputs to a Tensor's ctor
                                                                                               CIsTuple
                                                                                               CIsTuple< std::tuple< Args... > >
                                                                                               CTensorFactoryObject which helps create tensor objects
                                                                                               CTensorPIMPLActually implements a Tensor object
                                                                                               ▼Ndsl
                                                                                               CLabeledRepresents an object whose modes are assigned dummy indices
                                                                                               CDummyIndicesClass to help deal with string-based dummy indices
                                                                                               CPairwiseParserObject which evaluates the AST of an expression pairwise
                                                                                               Neigen
                                                                                               ▼NlayoutNamespace for classes used to spe
                                                                                               CLayoutBaseCommon base class for all layouts
                                                                                               CLogicalSpecializes a LayoutBase for a layout describing how a user wants to view the tensor
                                                                                               CPhysicalSpecializes a LayoutBase for a layout describing how a tensor is actually laid out at runtime
                                                                                               ▼NshapeSublibrary focused on describing the geometry of the tensor
                                                                                               ▼Ndetail_
                                                                                               CSmoothViewPIMPLDefines the API for all SmoothView PIMPLs
                                                                                               CSmoothAliasImplements SmoothView by wrapping a Smooth object
                                                                                               CShapeBaseCode factorization for the various types of shapes
                                                                                               CSmoothViewWraps existing state in an API compatible with SmoothView
                                                                                               CShapeTraits
                                                                                               CShapeTraits< ShapeBase >
                                                                                               CShapeTraits< const ShapeBase >
                                                                                               CShapeTraits< Smooth >
                                                                                               CShapeTraits< const Smooth >
                                                                                               CShapeTraits< SmoothView< T > >
                                                                                               CSmoothDescribes the shape of a "traditional" tensor
                                                                                               ▼NsparsityNamespace containing classes used to express the sparsity of a tensor
                                                                                               CPatternBase class for objects describing the sparsity of a tensor
                                                                                               ▼NsymmetrySublibrary providing classes for describing the symmetry of a tensor
                                                                                               CGroupContainer of the symmetry elements for a tensor
                                                                                               COperationCommon API for classes describing a symmetry operation
                                                                                               CPermutationDescribes a permutation of a tensor's modes
                                                                                               CTensorRepresents a multi-dimensional array of values
                                                                                              diff --git a/tensorwrapper_cxx_api/namespacetensorwrapper.html b/tensorwrapper_cxx_api/namespacetensorwrapper.html index 37a55634..f049e8e7 100644 --- a/tensorwrapper_cxx_api/namespacetensorwrapper.html +++ b/tensorwrapper_cxx_api/namespacetensorwrapper.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/namespacetensorwrapper_1_1allocator.html b/tensorwrapper_cxx_api/namespacetensorwrapper_1_1allocator.html index 09075c56..d7f19a19 100644 --- a/tensorwrapper_cxx_api/namespacetensorwrapper_1_1allocator.html +++ b/tensorwrapper_cxx_api/namespacetensorwrapper_1_1allocator.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/namespacetensorwrapper_1_1buffer.html b/tensorwrapper_cxx_api/namespacetensorwrapper_1_1buffer.html index c701eafa..d7d084ea 100644 --- a/tensorwrapper_cxx_api/namespacetensorwrapper_1_1buffer.html +++ b/tensorwrapper_cxx_api/namespacetensorwrapper_1_1buffer.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/namespacetensorwrapper_1_1detail__.html b/tensorwrapper_cxx_api/namespacetensorwrapper_1_1detail__.html index f862a517..6da45cb9 100644 --- a/tensorwrapper_cxx_api/namespacetensorwrapper_1_1detail__.html +++ b/tensorwrapper_cxx_api/namespacetensorwrapper_1_1detail__.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              @@ -81,6 +81,9 @@ + + + diff --git a/tensorwrapper_cxx_api/namespacetensorwrapper_1_1layout.html b/tensorwrapper_cxx_api/namespacetensorwrapper_1_1layout.html index 0f3d103c..79490c96 100644 --- a/tensorwrapper_cxx_api/namespacetensorwrapper_1_1layout.html +++ b/tensorwrapper_cxx_api/namespacetensorwrapper_1_1layout.html @@ -22,7 +22,7 @@ diff --git a/tensorwrapper_cxx_api/namespacetensorwrapper_1_1shape.html b/tensorwrapper_cxx_api/namespacetensorwrapper_1_1shape.html index 716566ca..3ec8599d 100644 --- a/tensorwrapper_cxx_api/namespacetensorwrapper_1_1shape.html +++ b/tensorwrapper_cxx_api/namespacetensorwrapper_1_1shape.html @@ -22,7 +22,7 @@ @@ -67,7 +67,8 @@
                                                                                              -Classes
                                                                                              +Classes | +Typedefs
                                                                                              tensorwrapper::shape Namespace Reference
                                                                                              @@ -99,6 +100,12 @@ +

                                                                                              Classes

                                                                                              class  DSLBase
                                                                                               Code factorization for objects that are composable via the DSL. More...
                                                                                               
                                                                                              class  PolymorphicBase
                                                                                               Defines the API polymorphic utility methods should use. More...
                                                                                               
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              class  Smooth
                                                                                               Describes the shape of a "traditional" tensor. More...
                                                                                               
                                                                                              + + +

                                                                                              +Typedefs

                                                                                              +using dsl_reference = typename Smooth::dsl_reference
                                                                                               

                                                                                              Detailed Description

                                                                                              Sublibrary focused on describing the geometry of the tensor.

                                                                                              diff --git a/tensorwrapper_cxx_api/namespacetensorwrapper_1_1sparsity.html b/tensorwrapper_cxx_api/namespacetensorwrapper_1_1sparsity.html index 10bf06ab..f5e92f53 100644 --- a/tensorwrapper_cxx_api/namespacetensorwrapper_1_1sparsity.html +++ b/tensorwrapper_cxx_api/namespacetensorwrapper_1_1sparsity.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              @@ -67,7 +67,8 @@
                                                                                              -Classes
                                                                                              +Classes | +Typedefs
                                                                                              tensorwrapper::sparsity Namespace Reference
                                                                                              @@ -81,6 +82,12 @@ class  Pattern  Base class for objects describing the sparsity of a tensor. More...
                                                                                                + + + +

                                                                                              +Typedefs

                                                                                              +using dsl_reference = typename Pattern::dsl_reference
                                                                                               

                                                                                              Detailed Description

                                                                                              Namespace containing classes used to express the sparsity of a tensor.

                                                                                              diff --git a/tensorwrapper_cxx_api/namespacetensorwrapper_1_1symmetry.html b/tensorwrapper_cxx_api/namespacetensorwrapper_1_1symmetry.html index d985ca74..fcbd0985 100644 --- a/tensorwrapper_cxx_api/namespacetensorwrapper_1_1symmetry.html +++ b/tensorwrapper_cxx_api/namespacetensorwrapper_1_1symmetry.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              @@ -67,7 +67,8 @@
                                                                                              -Classes
                                                                                              +Classes | +Typedefs
                                                                                              tensorwrapper::symmetry Namespace Reference
                                                                                              @@ -87,6 +88,12 @@ class  Permutation  Describes a permutation of a tensor's modes. More...
                                                                                                + + + +

                                                                                              +Typedefs

                                                                                              +using dsl_reference = typename Group::dsl_reference
                                                                                               

                                                                                              Detailed Description

                                                                                              Sublibrary providing classes for describing the symmetry of a tensor.

                                                                                              diff --git a/tensorwrapper_cxx_api/operation_8hpp_source.html b/tensorwrapper_cxx_api/operation_8hpp_source.html index 2ff71060..c831c1ca 100644 --- a/tensorwrapper_cxx_api/operation_8hpp_source.html +++ b/tensorwrapper_cxx_api/operation_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              @@ -116,22 +116,27 @@
                                                                                              56 
                                                                                              57  bool is_identity() const noexcept { return is_identity_(); }
                                                                                              58 
                                                                                              -
                                                                                              59  // -------------------------------------------------------------------------
                                                                                              -
                                                                                              60  // -- Utility methods
                                                                                              +
                                                                                              59  mode_index_type rank() const noexcept { return rank_(); }
                                                                                              +
                                                                                              60 
                                                                                              61  // -------------------------------------------------------------------------
                                                                                              -
                                                                                              62 
                                                                                              -
                                                                                              63 protected:
                                                                                              -
                                                                                              65  virtual bool is_identity_() const noexcept = 0;
                                                                                              -
                                                                                              66 };
                                                                                              -
                                                                                              67 
                                                                                              -
                                                                                              68 } // namespace tensorwrapper::symmetry
                                                                                              +
                                                                                              62  // -- Utility methods
                                                                                              +
                                                                                              63  // -------------------------------------------------------------------------
                                                                                              +
                                                                                              64 
                                                                                              +
                                                                                              65 protected:
                                                                                              +
                                                                                              67  virtual bool is_identity_() const noexcept = 0;
                                                                                              +
                                                                                              68 
                                                                                              +
                                                                                              70  virtual mode_index_type rank_() const noexcept = 0;
                                                                                              +
                                                                                              71 };
                                                                                              +
                                                                                              72 
                                                                                              +
                                                                                              73 } // namespace tensorwrapper::symmetry
                                                                                              tensorwrapper::detail_::PolymorphicBase
                                                                                              Defines the API polymorphic utility methods should use.
                                                                                              Definition: polymorphic_base.hpp:33
                                                                                              tensorwrapper::symmetry::Operation
                                                                                              Common API for classes describing a symmetry operation.
                                                                                              Definition: operation.hpp:29
                                                                                              tensorwrapper::symmetry::Operation::mode_index_type
                                                                                              unsigned short mode_index_type
                                                                                              Type used to index tensor modes.
                                                                                              Definition: operation.hpp:44
                                                                                              tensorwrapper::symmetry::Operation::is_identity_
                                                                                              virtual bool is_identity_() const noexcept=0
                                                                                              Derived class should overwrite to implement is_identity.
                                                                                              +
                                                                                              tensorwrapper::symmetry::Operation::rank_
                                                                                              virtual mode_index_type rank_() const noexcept=0
                                                                                              Derived class should overwrite to implement rank()
                                                                                              tensorwrapper::symmetry::Operation::base_pointer
                                                                                              std::unique_ptr< base_type > base_pointer
                                                                                              Type of a pointer to a symmetry Operation's base class.
                                                                                              Definition: operation.hpp:41
                                                                                              tensorwrapper::symmetry::Operation::~Operation
                                                                                              virtual ~Operation() noexcept=default
                                                                                              Defaulted no-throw dtor.
                                                                                              -
                                                                                              tensorwrapper::symmetry
                                                                                              Sublibrary providing classes for describing the symmetry of a tensor.
                                                                                              Definition: group.hpp:22
                                                                                              +
                                                                                              tensorwrapper::symmetry
                                                                                              Sublibrary providing classes for describing the symmetry of a tensor.
                                                                                              Definition: group.hpp:25
                                                                                              diff --git a/tensorwrapper_cxx_api/pairwise__parser_8hpp_source.html b/tensorwrapper_cxx_api/pairwise__parser_8hpp_source.html index 41dd8816..01c06837 100644 --- a/tensorwrapper_cxx_api/pairwise__parser_8hpp_source.html +++ b/tensorwrapper_cxx_api/pairwise__parser_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              @@ -88,42 +88,65 @@
                                                                                              16 
                                                                                              17 #pragma once
                                                                                              18 #include <tensorwrapper/dsl/dsl_forward.hpp>
                                                                                              -
                                                                                              19 #include <utilities/dsl/dsl.hpp>
                                                                                              -
                                                                                              20 
                                                                                              -
                                                                                              21 namespace tensorwrapper {
                                                                                              -
                                                                                              22 class Tensor;
                                                                                              -
                                                                                              23 namespace dsl {
                                                                                              -
                                                                                              24 
                                                                                              -
                                                                                              37 template<typename ObjectType, typename LabelType>
                                                                                              -
                                                                                              38 class PairwiseParser {
                                                                                              -
                                                                                              39 public:
                                                                                              -
                                                                                              41  using labeled_type = Labeled<ObjectType, LabelType>;
                                                                                              -
                                                                                              42 
                                                                                              -
                                                                                              58  auto dispatch(labeled_type lhs, labeled_type rhs) { return rhs; }
                                                                                              -
                                                                                              59 
                                                                                              -
                                                                                              70  template<typename T, typename U>
                                                                                              -
                                                                                              71  auto dispatch(labeled_type lhs, const utilities::dsl::Add<T, U>& rhs) {
                                                                                              -
                                                                                              72  // TODO: This shouldn't be assigning to lhs, but letting the layer up
                                                                                              -
                                                                                              73  // do that
                                                                                              -
                                                                                              74  auto lA = dispatch(lhs, rhs.lhs());
                                                                                              -
                                                                                              75  auto lB = dispatch(lhs, rhs.rhs());
                                                                                              -
                                                                                              76  return add(std::move(lhs), std::move(lA), std::move(lB));
                                                                                              -
                                                                                              77  }
                                                                                              -
                                                                                              78 
                                                                                              -
                                                                                              79 protected:
                                                                                              -
                                                                                              80  labeled_type add(labeled_type result, labeled_type lhs, labeled_type rhs);
                                                                                              -
                                                                                              81 };
                                                                                              -
                                                                                              82 
                                                                                              -
                                                                                              83 extern template class PairwiseParser<Tensor, std::string>;
                                                                                              -
                                                                                              84 
                                                                                              -
                                                                                              85 } // namespace dsl
                                                                                              -
                                                                                              86 } // namespace tensorwrapper
                                                                                              -
                                                                                              tensorwrapper::dsl::Labeled
                                                                                              Represents an object whose modes are assigned dummy indices.
                                                                                              Definition: labeled.hpp:29
                                                                                              -
                                                                                              tensorwrapper::dsl::PairwiseParser
                                                                                              Object which evaluates the AST of an expression pairwise.
                                                                                              Definition: pairwise_parser.hpp:38
                                                                                              -
                                                                                              tensorwrapper::dsl::PairwiseParser::dispatch
                                                                                              auto dispatch(labeled_type lhs, const utilities::dsl::Add< T, U > &rhs)
                                                                                              Handles adding two expressions together.
                                                                                              Definition: pairwise_parser.hpp:71
                                                                                              -
                                                                                              tensorwrapper::dsl::PairwiseParser::dispatch
                                                                                              auto dispatch(labeled_type lhs, labeled_type rhs)
                                                                                              Recursion end-point.
                                                                                              Definition: pairwise_parser.hpp:58
                                                                                              -
                                                                                              tensorwrapper::dsl::PairwiseParser::labeled_type
                                                                                              Labeled< ObjectType, LabelType > labeled_type
                                                                                              Type of a leaf in the AST.
                                                                                              Definition: pairwise_parser.hpp:41
                                                                                              -
                                                                                              tensorwrapper
                                                                                              Contains the components of the TensorWrapper library.
                                                                                              Definition: allocator.hpp:24
                                                                                              +
                                                                                              19 #include <tensorwrapper/shape/shape_fwd.hpp>
                                                                                              +
                                                                                              20 #include <utilities/dsl/dsl.hpp>
                                                                                              +
                                                                                              21 
                                                                                              +
                                                                                              22 namespace tensorwrapper::dsl {
                                                                                              +
                                                                                              23 
                                                                                              +
                                                                                              46 class PairwiseParser {
                                                                                              +
                                                                                              47 public:
                                                                                              +
                                                                                              60  template<typename LHSType, typename RHSType>
                                                                                              +
                                                                                              61  void dispatch(LHSType&& lhs, const RHSType& rhs) {
                                                                                              +
                                                                                              62  if constexpr(std::is_floating_point_v<std::decay_t<RHSType>>) {
                                                                                              +
                                                                                              63  lhs.object().scalar_multiplication(rhs);
                                                                                              +
                                                                                              64  } else {
                                                                                              +
                                                                                              65  lhs.object().permute_assignment(lhs.labels(), rhs);
                                                                                              +
                                                                                              66  }
                                                                                              +
                                                                                              67  }
                                                                                              +
                                                                                              68 
                                                                                              +
                                                                                              81  template<typename LHSType, typename T, typename U>
                                                                                              +
                                                                                              82  void dispatch(LHSType&& lhs, const utilities::dsl::Add<T, U>& rhs) {
                                                                                              +
                                                                                              83  auto pA = lhs.object().clone();
                                                                                              +
                                                                                              84  auto pB = lhs.object().clone();
                                                                                              +
                                                                                              85  auto labels = lhs.labels();
                                                                                              +
                                                                                              86  auto lA = (*pA)(labels);
                                                                                              +
                                                                                              87  auto lB = (*pB)(labels);
                                                                                              +
                                                                                              88  dispatch(lA, rhs.lhs());
                                                                                              +
                                                                                              89  dispatch(lB, rhs.rhs());
                                                                                              +
                                                                                              90  lhs.object().addition_assignment(labels, lA, lB);
                                                                                              +
                                                                                              91  }
                                                                                              +
                                                                                              92 
                                                                                              +
                                                                                              106  template<typename LHSType, typename T, typename U>
                                                                                              +
                                                                                              107  void dispatch(LHSType&& lhs, const utilities::dsl::Subtract<T, U>& rhs) {
                                                                                              +
                                                                                              108  auto pA = lhs.object().clone();
                                                                                              +
                                                                                              109  auto pB = lhs.object().clone();
                                                                                              +
                                                                                              110  auto labels = lhs.labels();
                                                                                              +
                                                                                              111  auto lA = (*pA)(labels);
                                                                                              +
                                                                                              112  auto lB = (*pB)(labels);
                                                                                              +
                                                                                              113  dispatch(lA, rhs.lhs());
                                                                                              +
                                                                                              114  dispatch(lB, rhs.rhs());
                                                                                              +
                                                                                              115  lhs.object().subtraction_assignment(labels, lA, lB);
                                                                                              +
                                                                                              116  }
                                                                                              +
                                                                                              117 
                                                                                              +
                                                                                              131  template<typename LHSType, typename T, typename U>
                                                                                              +
                                                                                              132  void dispatch(LHSType&& lhs, const utilities::dsl::Multiply<T, U>& rhs) {
                                                                                              +
                                                                                              133  auto pA = lhs.object().clone();
                                                                                              +
                                                                                              134  auto pB = lhs.object().clone();
                                                                                              +
                                                                                              135  auto labels = lhs.labels();
                                                                                              +
                                                                                              136  auto lA = (*pA)(labels);
                                                                                              +
                                                                                              137  auto lB = (*pB)(labels);
                                                                                              +
                                                                                              138  dispatch(lA, rhs.lhs());
                                                                                              +
                                                                                              139  dispatch(lB, rhs.rhs());
                                                                                              +
                                                                                              140  lhs.object().multiplication_assignment(labels, lA, lB);
                                                                                              +
                                                                                              141  }
                                                                                              +
                                                                                              142 };
                                                                                              +
                                                                                              143 
                                                                                              +
                                                                                              144 } // namespace tensorwrapper::dsl
                                                                                              +
                                                                                              tensorwrapper::dsl::PairwiseParser
                                                                                              Object which evaluates the AST of an expression pairwise.
                                                                                              Definition: pairwise_parser.hpp:46
                                                                                              +
                                                                                              tensorwrapper::dsl::PairwiseParser::dispatch
                                                                                              void dispatch(LHSType &&lhs, const utilities::dsl::Subtract< T, U > &rhs)
                                                                                              Handles subtracting two expressions together.
                                                                                              Definition: pairwise_parser.hpp:107
                                                                                              +
                                                                                              tensorwrapper::dsl::PairwiseParser::dispatch
                                                                                              void dispatch(LHSType &&lhs, const RHSType &rhs)
                                                                                              Recursion end-point.
                                                                                              Definition: pairwise_parser.hpp:61
                                                                                              +
                                                                                              tensorwrapper::dsl::PairwiseParser::dispatch
                                                                                              void dispatch(LHSType &&lhs, const utilities::dsl::Add< T, U > &rhs)
                                                                                              Handles adding two expressions together.
                                                                                              Definition: pairwise_parser.hpp:82
                                                                                              +
                                                                                              tensorwrapper::dsl::PairwiseParser::dispatch
                                                                                              void dispatch(LHSType &&lhs, const utilities::dsl::Multiply< T, U > &rhs)
                                                                                              Handles multiplying two expressions together.
                                                                                              Definition: pairwise_parser.hpp:132
                                                                                              diff --git a/tensorwrapper_cxx_api/pattern_8hpp_source.html b/tensorwrapper_cxx_api/pattern_8hpp_source.html index 9b0b35bb..332f69b6 100644 --- a/tensorwrapper_cxx_api/pattern_8hpp_source.html +++ b/tensorwrapper_cxx_api/pattern_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              @@ -87,23 +87,79 @@
                                                                                              15  */
                                                                                              16 
                                                                                              17 #pragma once
                                                                                              -
                                                                                              18 
                                                                                              -
                                                                                              19 namespace tensorwrapper::sparsity {
                                                                                              +
                                                                                              18 #include <tensorwrapper/detail_/dsl_base.hpp>
                                                                                              +
                                                                                              19 #include <tensorwrapper/detail_/polymorphic_base.hpp>
                                                                                              20 
                                                                                              -
                                                                                              22 class Pattern {
                                                                                              -
                                                                                              23 public:
                                                                                              -
                                                                                              36  bool operator==(const Pattern& rhs) const noexcept { return true; }
                                                                                              -
                                                                                              37 
                                                                                              -
                                                                                              49  bool operator!=(const Pattern& rhs) const noexcept {
                                                                                              -
                                                                                              50  return !((*this) == rhs);
                                                                                              -
                                                                                              51  }
                                                                                              -
                                                                                              52 };
                                                                                              -
                                                                                              53 
                                                                                              -
                                                                                              54 } // namespace tensorwrapper::sparsity
                                                                                              -
                                                                                              tensorwrapper::sparsity::Pattern
                                                                                              Base class for objects describing the sparsity of a tensor.
                                                                                              Definition: pattern.hpp:22
                                                                                              -
                                                                                              tensorwrapper::sparsity::Pattern::operator!=
                                                                                              bool operator!=(const Pattern &rhs) const noexcept
                                                                                              Is *this different from rhs?
                                                                                              Definition: pattern.hpp:49
                                                                                              -
                                                                                              tensorwrapper::sparsity::Pattern::operator==
                                                                                              bool operator==(const Pattern &rhs) const noexcept
                                                                                              Determines if *this and rhs describe the same sparsity pattern.
                                                                                              Definition: pattern.hpp:36
                                                                                              -
                                                                                              tensorwrapper::sparsity
                                                                                              Namespace containing classes used to express the sparsity of a tensor.
                                                                                              Definition: pattern.hpp:19
                                                                                              +
                                                                                              21 namespace tensorwrapper::sparsity {
                                                                                              +
                                                                                              22 
                                                                                              +
                                                                                              24 class Pattern : public tensorwrapper::detail_::DSLBase<Pattern>,
                                                                                              +
                                                                                              25  public tensorwrapper::detail_::PolymorphicBase<Pattern> {
                                                                                              +
                                                                                              26 private:
                                                                                              +
                                                                                              28  using polymorphic_base = tensorwrapper::detail_::PolymorphicBase<Pattern>;
                                                                                              +
                                                                                              29 
                                                                                              +
                                                                                              30 public:
                                                                                              +
                                                                                              32  using size_type = std::size_t;
                                                                                              +
                                                                                              33 
                                                                                              +
                                                                                              43  Pattern(size_type rank = 0) noexcept : m_rank_(rank) {}
                                                                                              +
                                                                                              44 
                                                                                              +
                                                                                              51  size_type rank() const noexcept { return m_rank_; }
                                                                                              +
                                                                                              52 
                                                                                              +
                                                                                              66  bool operator==(const Pattern& rhs) const noexcept {
                                                                                              +
                                                                                              67  return rank() == rhs.rank();
                                                                                              +
                                                                                              68  }
                                                                                              +
                                                                                              69 
                                                                                              +
                                                                                              81  bool operator!=(const Pattern& rhs) const noexcept {
                                                                                              +
                                                                                              82  return !((*this) == rhs);
                                                                                              +
                                                                                              83  }
                                                                                              +
                                                                                              84 
                                                                                              +
                                                                                              85 protected:
                                                                                              +
                                                                                              87  typename polymorphic_base::base_pointer clone_() const override {
                                                                                              +
                                                                                              88  return std::make_unique<Pattern>(*this);
                                                                                              +
                                                                                              89  }
                                                                                              +
                                                                                              90 
                                                                                              +
                                                                                              92  bool are_equal_(const_base_reference rhs) const noexcept override {
                                                                                              +
                                                                                              93  return are_equal_impl_<Pattern>(rhs);
                                                                                              +
                                                                                              94  }
                                                                                              +
                                                                                              95 
                                                                                              +
                                                                                              97  dsl_reference addition_assignment_(label_type this_labels,
                                                                                              +
                                                                                              98  const_labeled_reference lhs,
                                                                                              +
                                                                                              99  const_labeled_reference rhs) override;
                                                                                              +
                                                                                              100 
                                                                                              +
                                                                                              102  dsl_reference subtraction_assignment_(label_type this_labels,
                                                                                              +
                                                                                              103  const_labeled_reference lhs,
                                                                                              +
                                                                                              104  const_labeled_reference rhs) override;
                                                                                              +
                                                                                              105 
                                                                                              +
                                                                                              107  dsl_reference multiplication_assignment_(
                                                                                              +
                                                                                              108  label_type this_labels, const_labeled_reference lhs,
                                                                                              +
                                                                                              109  const_labeled_reference rhs) override;
                                                                                              +
                                                                                              110 
                                                                                              +
                                                                                              112  dsl_reference permute_assignment_(label_type this_labels,
                                                                                              +
                                                                                              113  const_labeled_reference rhs) override;
                                                                                              +
                                                                                              114 
                                                                                              +
                                                                                              115 private:
                                                                                              +
                                                                                              117  size_type m_rank_;
                                                                                              +
                                                                                              118 };
                                                                                              +
                                                                                              119 
                                                                                              +
                                                                                              120 } // namespace tensorwrapper::sparsity
                                                                                              +
                                                                                              tensorwrapper::detail_::DSLBase
                                                                                              Code factorization for objects that are composable via the DSL.
                                                                                              Definition: dsl_base.hpp:35
                                                                                              +
                                                                                              tensorwrapper::detail_::DSLBase< Pattern >::label_type
                                                                                              typename labeled_type::label_type label_type
                                                                                              Type of parsed labels.
                                                                                              Definition: dsl_base.hpp:62
                                                                                              +
                                                                                              tensorwrapper::detail_::DSLBase< Pattern >::const_labeled_reference
                                                                                              const labeled_const_type & const_labeled_reference
                                                                                              Type of a read-only reference to a labeled_type object.
                                                                                              Definition: dsl_base.hpp:65
                                                                                              +
                                                                                              tensorwrapper::detail_::PolymorphicBase
                                                                                              Defines the API polymorphic utility methods should use.
                                                                                              Definition: polymorphic_base.hpp:33
                                                                                              +
                                                                                              tensorwrapper::detail_::PolymorphicBase< Pattern >::const_base_reference
                                                                                              const base_type & const_base_reference
                                                                                              Read-only reference to an object of type base_type.
                                                                                              Definition: polymorphic_base.hpp:42
                                                                                              +
                                                                                              tensorwrapper::detail_::PolymorphicBase< Pattern >::base_pointer
                                                                                              std::unique_ptr< base_type > base_pointer
                                                                                              Pointer to an object of type base_type.
                                                                                              Definition: polymorphic_base.hpp:48
                                                                                              +
                                                                                              tensorwrapper::sparsity::Pattern
                                                                                              Base class for objects describing the sparsity of a tensor.
                                                                                              Definition: pattern.hpp:25
                                                                                              +
                                                                                              tensorwrapper::sparsity::Pattern::Pattern
                                                                                              Pattern(size_type rank=0) noexcept
                                                                                              Creates a pattern for a rank rank tensor.
                                                                                              Definition: pattern.hpp:43
                                                                                              +
                                                                                              tensorwrapper::sparsity::Pattern::operator!=
                                                                                              bool operator!=(const Pattern &rhs) const noexcept
                                                                                              Is *this different from rhs?
                                                                                              Definition: pattern.hpp:81
                                                                                              +
                                                                                              tensorwrapper::sparsity::Pattern::permute_assignment_
                                                                                              dsl_reference permute_assignment_(label_type this_labels, const_labeled_reference rhs) override
                                                                                              Implements permute_assignment by permuting the extents in rhs.
                                                                                              Definition: pattern.cpp:41
                                                                                              +
                                                                                              tensorwrapper::sparsity::Pattern::subtraction_assignment_
                                                                                              dsl_reference subtraction_assignment_(label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs) override
                                                                                              Implements subtraction_assignment via permute_assignment.
                                                                                              Definition: pattern.cpp:29
                                                                                              +
                                                                                              tensorwrapper::sparsity::Pattern::operator==
                                                                                              bool operator==(const Pattern &rhs) const noexcept
                                                                                              Determines if *this and rhs describe the same sparsity pattern.
                                                                                              Definition: pattern.hpp:66
                                                                                              +
                                                                                              tensorwrapper::sparsity::Pattern::clone_
                                                                                              polymorphic_base::base_pointer clone_() const override
                                                                                              Implements clone by calling copy constructor.
                                                                                              Definition: pattern.hpp:87
                                                                                              +
                                                                                              tensorwrapper::sparsity::Pattern::are_equal_
                                                                                              bool are_equal_(const_base_reference rhs) const noexcept override
                                                                                              Implements are_equal by calling implementation provided by the base.
                                                                                              Definition: pattern.hpp:92
                                                                                              +
                                                                                              tensorwrapper::sparsity::Pattern::rank
                                                                                              size_type rank() const noexcept
                                                                                              Provides the rank of the tensor *this assumes.
                                                                                              Definition: pattern.hpp:51
                                                                                              +
                                                                                              tensorwrapper::sparsity::Pattern::addition_assignment_
                                                                                              dsl_reference addition_assignment_(label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs) override
                                                                                              Implements addition_assignment via permute_assignment.
                                                                                              Definition: pattern.cpp:23
                                                                                              +
                                                                                              tensorwrapper::sparsity::Pattern::size_type
                                                                                              std::size_t size_type
                                                                                              Type used for indexing and offsets.
                                                                                              Definition: pattern.hpp:32
                                                                                              +
                                                                                              tensorwrapper::sparsity::Pattern::multiplication_assignment_
                                                                                              dsl_reference multiplication_assignment_(label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs) override
                                                                                              Implements multiplication_assignment via permute_assignment.
                                                                                              Definition: pattern.cpp:35
                                                                                              +
                                                                                              tensorwrapper::sparsity
                                                                                              Namespace containing classes used to express the sparsity of a tensor.
                                                                                              Definition: pattern.hpp:21
                                                                                              diff --git a/tensorwrapper_cxx_api/permutation_8hpp_source.html b/tensorwrapper_cxx_api/permutation_8hpp_source.html index 93787a93..01a7eb31 100644 --- a/tensorwrapper_cxx_api/permutation_8hpp_source.html +++ b/tensorwrapper_cxx_api/permutation_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              @@ -107,100 +107,117 @@
                                                                                              51  using cycle_set_initializer_list =
                                                                                              52  std::initializer_list<cycle_initializer_list>;
                                                                                              53 
                                                                                              -
                                                                                              63  Permutation() = default;
                                                                                              -
                                                                                              64 
                                                                                              -
                                                                                              84  explicit Permutation(cycle_initializer_list il) :
                                                                                              -
                                                                                              85  Permutation(cycle_container_type{cycle_type(il.begin(), il.end())}) {}
                                                                                              -
                                                                                              86 
                                                                                              -
                                                                                              101  template<typename... Args>
                                                                                              -
                                                                                              102  explicit Permutation(cycle_type cycle0, Args&&... args) :
                                                                                              -
                                                                                              103  Permutation(cycle_container_type{
                                                                                              -
                                                                                              104  std::move(cycle0), cycle_type(std::forward<Args>(args))...}) {}
                                                                                              -
                                                                                              105 
                                                                                              -
                                                                                              106  // -------------------------------------------------------------------------
                                                                                              -
                                                                                              107  // -- Getters
                                                                                              -
                                                                                              108  // -------------------------------------------------------------------------
                                                                                              -
                                                                                              109 
                                                                                              -
                                                                                              122  mode_index_type minimum_rank() const noexcept;
                                                                                              -
                                                                                              123 
                                                                                              -
                                                                                              134  cycle_type operator[](mode_index_type i) const noexcept;
                                                                                              -
                                                                                              135 
                                                                                              -
                                                                                              149  cycle_type at(mode_index_type i) const {
                                                                                              -
                                                                                              150  valid_offset_(i);
                                                                                              -
                                                                                              151  return (*this)[i];
                                                                                              -
                                                                                              152  }
                                                                                              -
                                                                                              153 
                                                                                              -
                                                                                              167  mode_index_type size() const noexcept { return m_cycles_.size(); }
                                                                                              -
                                                                                              168 
                                                                                              -
                                                                                              169  // -------------------------------------------------------------------------
                                                                                              -
                                                                                              170  // -- Utility methods
                                                                                              -
                                                                                              171  // -------------------------------------------------------------------------
                                                                                              -
                                                                                              172 
                                                                                              -
                                                                                              181  void swap(Permutation& other) noexcept { m_cycles_.swap(other.m_cycles_); }
                                                                                              -
                                                                                              182 
                                                                                              -
                                                                                              198  bool operator==(const Permutation& rhs) const noexcept {
                                                                                              -
                                                                                              199  return m_cycles_ == rhs.m_cycles_;
                                                                                              -
                                                                                              200  }
                                                                                              -
                                                                                              201 
                                                                                              -
                                                                                              214  bool operator!=(const Permutation& rhs) const noexcept {
                                                                                              -
                                                                                              215  return !(*this == rhs);
                                                                                              -
                                                                                              216  }
                                                                                              -
                                                                                              217 
                                                                                              -
                                                                                              218 protected:
                                                                                              -
                                                                                              220  base_pointer clone_() const override {
                                                                                              -
                                                                                              221  return std::make_unique<Permutation>(*this);
                                                                                              -
                                                                                              222  }
                                                                                              -
                                                                                              223 
                                                                                              -
                                                                                              225  bool is_identity_() const noexcept override { return size() == 0; }
                                                                                              -
                                                                                              226 
                                                                                              -
                                                                                              228  bool are_equal_(const_base_reference other) const noexcept override {
                                                                                              -
                                                                                              229  return are_equal_impl_<Permutation>(other);
                                                                                              -
                                                                                              230  }
                                                                                              -
                                                                                              231 
                                                                                              -
                                                                                              232 private:
                                                                                              -
                                                                                              234  using cycle_container_type = std::set<cycle_type>;
                                                                                              -
                                                                                              235 
                                                                                              -
                                                                                              236  void valid_offset_(mode_index_type i) const;
                                                                                              +
                                                                                              65  explicit Permutation(mode_index_type rank = 0) : m_rank_(rank) {}
                                                                                              +
                                                                                              66 
                                                                                              +
                                                                                              85  explicit Permutation(cycle_initializer_list il) :
                                                                                              +
                                                                                              86  Permutation(il.size(),
                                                                                              +
                                                                                              87  parse_one_line_(cycle_type(il.begin(), il.end()))) {}
                                                                                              +
                                                                                              88 
                                                                                              +
                                                                                              109  template<typename... Args>
                                                                                              +
                                                                                              110  Permutation(mode_index_type rank, cycle_type cycle0, Args&&... args) :
                                                                                              +
                                                                                              111  Permutation(
                                                                                              +
                                                                                              112  rank, cycle_container_type{std::move(cycle0),
                                                                                              +
                                                                                              113  cycle_type(std::forward<Args>(args))...}) {}
                                                                                              +
                                                                                              114 
                                                                                              +
                                                                                              115  // -------------------------------------------------------------------------
                                                                                              +
                                                                                              116  // -- Getters
                                                                                              +
                                                                                              117  // -------------------------------------------------------------------------
                                                                                              +
                                                                                              118 
                                                                                              +
                                                                                              129  cycle_type operator[](mode_index_type i) const noexcept;
                                                                                              +
                                                                                              130 
                                                                                              +
                                                                                              144  cycle_type at(mode_index_type i) const {
                                                                                              +
                                                                                              145  valid_offset_(i);
                                                                                              +
                                                                                              146  return (*this)[i];
                                                                                              +
                                                                                              147  }
                                                                                              +
                                                                                              148 
                                                                                              +
                                                                                              162  mode_index_type size() const noexcept { return m_cycles_.size(); }
                                                                                              +
                                                                                              163 
                                                                                              +
                                                                                              164  // -------------------------------------------------------------------------
                                                                                              +
                                                                                              165  // -- Utility methods
                                                                                              +
                                                                                              166  // -------------------------------------------------------------------------
                                                                                              +
                                                                                              167 
                                                                                              +
                                                                                              176  void swap(Permutation& other) noexcept {
                                                                                              +
                                                                                              177  m_cycles_.swap(other.m_cycles_);
                                                                                              +
                                                                                              178  std::swap(m_rank_, other.m_rank_);
                                                                                              +
                                                                                              179  }
                                                                                              +
                                                                                              180 
                                                                                              +
                                                                                              196  bool operator==(const Permutation& rhs) const noexcept {
                                                                                              +
                                                                                              197  return std::tie(m_rank_, m_cycles_) ==
                                                                                              +
                                                                                              198  std::tie(rhs.m_rank_, rhs.m_cycles_);
                                                                                              +
                                                                                              199  }
                                                                                              +
                                                                                              200 
                                                                                              +
                                                                                              213  bool operator!=(const Permutation& rhs) const noexcept {
                                                                                              +
                                                                                              214  return !(*this == rhs);
                                                                                              +
                                                                                              215  }
                                                                                              +
                                                                                              216 
                                                                                              +
                                                                                              217 protected:
                                                                                              +
                                                                                              219  base_pointer clone_() const override {
                                                                                              +
                                                                                              220  return std::make_unique<Permutation>(*this);
                                                                                              +
                                                                                              221  }
                                                                                              +
                                                                                              222 
                                                                                              +
                                                                                              224  bool is_identity_() const noexcept override { return size() == 0; }
                                                                                              +
                                                                                              225 
                                                                                              +
                                                                                              227  bool are_equal_(const_base_reference other) const noexcept override {
                                                                                              +
                                                                                              228  return are_equal_impl_<Permutation>(other);
                                                                                              +
                                                                                              229  }
                                                                                              +
                                                                                              230 
                                                                                              +
                                                                                              232  mode_index_type rank_() const noexcept override { return m_rank_; }
                                                                                              +
                                                                                              233 
                                                                                              +
                                                                                              234 private:
                                                                                              +
                                                                                              236  using cycle_container_type = std::set<cycle_type>;
                                                                                              237 
                                                                                              -
                                                                                              239  static void is_valid_cycle_(cycle_type cycle);
                                                                                              -
                                                                                              240 
                                                                                              -
                                                                                              242  static void verify_valid_cycle_set_(const cycle_container_type& cycles);
                                                                                              -
                                                                                              243 
                                                                                              -
                                                                                              245  static cycle_type canonicalize_cycle_(cycle_type cycle);
                                                                                              -
                                                                                              246 
                                                                                              -
                                                                                              248  static cycle_container_type remove_trivial_cycles_(
                                                                                              -
                                                                                              249  cycle_container_type input);
                                                                                              +
                                                                                              238  cycle_container_type parse_one_line_(const cycle_type& one_line) const;
                                                                                              +
                                                                                              239 
                                                                                              +
                                                                                              240  void valid_offset_(mode_index_type i) const;
                                                                                              +
                                                                                              241 
                                                                                              +
                                                                                              243  static void is_valid_cycle_(cycle_type cycle);
                                                                                              +
                                                                                              244 
                                                                                              +
                                                                                              246  static void verify_valid_cycle_set_(const cycle_container_type& cycles);
                                                                                              +
                                                                                              247 
                                                                                              +
                                                                                              249  static cycle_type canonicalize_cycle_(cycle_type cycle);
                                                                                              250 
                                                                                              -
                                                                                              252  explicit Permutation(cycle_container_type cycles) :
                                                                                              -
                                                                                              253  m_cycles_(remove_trivial_cycles_(std::move(cycles))) {}
                                                                                              +
                                                                                              252  static cycle_container_type remove_trivial_cycles_(
                                                                                              +
                                                                                              253  cycle_container_type input);
                                                                                              254 
                                                                                              -
                                                                                              256  cycle_container_type m_cycles_;
                                                                                              -
                                                                                              257 };
                                                                                              -
                                                                                              258 
                                                                                              -
                                                                                              259 } // namespace tensorwrapper::symmetry
                                                                                              +
                                                                                              256  Permutation(mode_index_type rank, cycle_container_type cycles) :
                                                                                              +
                                                                                              257  m_cycles_(remove_trivial_cycles_(std::move(cycles))), m_rank_(rank) {
                                                                                              +
                                                                                              258  for(const auto& x : m_cycles_)
                                                                                              +
                                                                                              259  for(auto xi : x)
                                                                                              +
                                                                                              260  if(xi >= m_rank_)
                                                                                              +
                                                                                              261  throw std::runtime_error(
                                                                                              +
                                                                                              262  "Offset is inconsistent with rank");
                                                                                              +
                                                                                              263  }
                                                                                              +
                                                                                              264 
                                                                                              +
                                                                                              266  cycle_container_type m_cycles_;
                                                                                              +
                                                                                              267 
                                                                                              +
                                                                                              269  mode_index_type m_rank_;
                                                                                              +
                                                                                              270 };
                                                                                              +
                                                                                              271 
                                                                                              +
                                                                                              272 } // namespace tensorwrapper::symmetry
                                                                                              tensorwrapper::symmetry::Operation
                                                                                              Common API for classes describing a symmetry operation.
                                                                                              Definition: operation.hpp:29
                                                                                              tensorwrapper::symmetry::Operation::mode_index_type
                                                                                              unsigned short mode_index_type
                                                                                              Type used to index tensor modes.
                                                                                              Definition: operation.hpp:44
                                                                                              tensorwrapper::symmetry::Operation::const_base_reference
                                                                                              const base_type & const_base_reference
                                                                                              Type of a read-only reference to an operation's base class.
                                                                                              Definition: operation.hpp:38
                                                                                              tensorwrapper::symmetry::Operation::base_pointer
                                                                                              std::unique_ptr< base_type > base_pointer
                                                                                              Type of a pointer to a symmetry Operation's base class.
                                                                                              Definition: operation.hpp:41
                                                                                              tensorwrapper::symmetry::Operation::base_type
                                                                                              Operation base_type
                                                                                              Common base class for all symmetry operations.
                                                                                              Definition: operation.hpp:32
                                                                                              tensorwrapper::symmetry::Permutation
                                                                                              Describes a permutation of a tensor's modes.
                                                                                              Definition: permutation.hpp:36
                                                                                              -
                                                                                              tensorwrapper::symmetry::Permutation::clone_
                                                                                              base_pointer clone_() const override
                                                                                              Implements clone by calling copy ctor.
                                                                                              Definition: permutation.hpp:220
                                                                                              -
                                                                                              tensorwrapper::symmetry::Permutation::size
                                                                                              mode_index_type size() const noexcept
                                                                                              Returns the number of non-trivial cycles in the permutation.
                                                                                              Definition: permutation.hpp:167
                                                                                              +
                                                                                              tensorwrapper::symmetry::Permutation::clone_
                                                                                              base_pointer clone_() const override
                                                                                              Implements clone by calling copy ctor.
                                                                                              Definition: permutation.hpp:219
                                                                                              +
                                                                                              tensorwrapper::symmetry::Permutation::size
                                                                                              mode_index_type size() const noexcept
                                                                                              Returns the number of non-trivial cycles in the permutation.
                                                                                              Definition: permutation.hpp:162
                                                                                              tensorwrapper::symmetry::Permutation::cycle_set_initializer_list
                                                                                              std::initializer_list< cycle_initializer_list > cycle_set_initializer_list
                                                                                              Type of an initializer list for a set of cycles.
                                                                                              Definition: permutation.hpp:52
                                                                                              tensorwrapper::symmetry::Permutation::mode_index_type
                                                                                              unsigned short mode_index_type
                                                                                              Type used to index tensor modes.
                                                                                              Definition: operation.hpp:44
                                                                                              -
                                                                                              tensorwrapper::symmetry::Permutation::minimum_rank
                                                                                              mode_index_type minimum_rank() const noexcept
                                                                                              Determines the minimum rank a tensor must be to apply *this.
                                                                                              Definition: permutation.cpp:28
                                                                                              -
                                                                                              tensorwrapper::symmetry::Permutation::operator!=
                                                                                              bool operator!=(const Permutation &rhs) const noexcept
                                                                                              Is *this different than rhs?
                                                                                              Definition: permutation.hpp:214
                                                                                              -
                                                                                              tensorwrapper::symmetry::Permutation::at
                                                                                              cycle_type at(mode_index_type i) const
                                                                                              Obtains the i -th non-trivial cycle in *this.
                                                                                              Definition: permutation.hpp:149
                                                                                              -
                                                                                              tensorwrapper::symmetry::Permutation::swap
                                                                                              void swap(Permutation &other) noexcept
                                                                                              Exchanges the state in *this with the state in other.
                                                                                              Definition: permutation.hpp:181
                                                                                              +
                                                                                              tensorwrapper::symmetry::Permutation::operator!=
                                                                                              bool operator!=(const Permutation &rhs) const noexcept
                                                                                              Is *this different than rhs?
                                                                                              Definition: permutation.hpp:213
                                                                                              +
                                                                                              tensorwrapper::symmetry::Permutation::Permutation
                                                                                              Permutation(mode_index_type rank=0)
                                                                                              Creates an identity permutation.
                                                                                              Definition: permutation.hpp:65
                                                                                              +
                                                                                              tensorwrapper::symmetry::Permutation::at
                                                                                              cycle_type at(mode_index_type i) const
                                                                                              Obtains the i -th non-trivial cycle in *this.
                                                                                              Definition: permutation.hpp:144
                                                                                              +
                                                                                              tensorwrapper::symmetry::Permutation::Permutation
                                                                                              Permutation(mode_index_type rank, cycle_type cycle0, Args &&... args)
                                                                                              Creates a Permutation by explicitly specifying the cycles.
                                                                                              Definition: permutation.hpp:110
                                                                                              +
                                                                                              tensorwrapper::symmetry::Permutation::swap
                                                                                              void swap(Permutation &other) noexcept
                                                                                              Exchanges the state in *this with the state in other.
                                                                                              Definition: permutation.hpp:176
                                                                                              +
                                                                                              tensorwrapper::symmetry::Permutation::rank_
                                                                                              mode_index_type rank_() const noexcept override
                                                                                              Implements rank by returning the stored rank.
                                                                                              Definition: permutation.hpp:232
                                                                                              tensorwrapper::symmetry::Permutation::cycle_type
                                                                                              std::vector< mode_index_type > cycle_type
                                                                                              Type used to hold a cycle.
                                                                                              Definition: permutation.hpp:45
                                                                                              -
                                                                                              tensorwrapper::symmetry::Permutation::Permutation
                                                                                              Permutation(cycle_type cycle0, Args &&... args)
                                                                                              Creates a Permutation by explicitly specifying the cycles.
                                                                                              Definition: permutation.hpp:102
                                                                                              -
                                                                                              tensorwrapper::symmetry::Permutation::are_equal_
                                                                                              bool are_equal_(const_base_reference other) const noexcept override
                                                                                              Implements are_equal by using implementation provided by the base class.
                                                                                              Definition: permutation.hpp:228
                                                                                              -
                                                                                              tensorwrapper::symmetry::Permutation::Permutation
                                                                                              Permutation()=default
                                                                                              Creates an identity permutation.
                                                                                              -
                                                                                              tensorwrapper::symmetry::Permutation::is_identity_
                                                                                              bool is_identity_() const noexcept override
                                                                                              If *this has no explicit cycles it is an identity permutation.
                                                                                              Definition: permutation.hpp:225
                                                                                              +
                                                                                              tensorwrapper::symmetry::Permutation::are_equal_
                                                                                              bool are_equal_(const_base_reference other) const noexcept override
                                                                                              Implements are_equal by using implementation provided by the base class.
                                                                                              Definition: permutation.hpp:227
                                                                                              +
                                                                                              tensorwrapper::symmetry::Permutation::is_identity_
                                                                                              bool is_identity_() const noexcept override
                                                                                              If *this has no explicit cycles it is an identity permutation.
                                                                                              Definition: permutation.hpp:224
                                                                                              tensorwrapper::symmetry::Permutation::cycle_initializer_list
                                                                                              std::initializer_list< mode_index_type > cycle_initializer_list
                                                                                              Type of an initializer list for a cycle.
                                                                                              Definition: permutation.hpp:48
                                                                                              -
                                                                                              tensorwrapper::symmetry::Permutation::Permutation
                                                                                              Permutation(cycle_initializer_list il)
                                                                                              Creates a Permutation containing a single cycle.
                                                                                              Definition: permutation.hpp:84
                                                                                              -
                                                                                              tensorwrapper::symmetry::Permutation::operator==
                                                                                              bool operator==(const Permutation &rhs) const noexcept
                                                                                              Is *this value equal to rhs?
                                                                                              Definition: permutation.hpp:198
                                                                                              -
                                                                                              tensorwrapper::symmetry
                                                                                              Sublibrary providing classes for describing the symmetry of a tensor.
                                                                                              Definition: group.hpp:22
                                                                                              +
                                                                                              tensorwrapper::symmetry::Permutation::Permutation
                                                                                              Permutation(cycle_initializer_list il)
                                                                                              Creates a Permutation from "one-line" notation.
                                                                                              Definition: permutation.hpp:85
                                                                                              +
                                                                                              tensorwrapper::symmetry::Permutation::operator[]
                                                                                              cycle_type operator[](mode_index_type i) const noexcept
                                                                                              Obtains the i -th non-trivial cycle in *this.
                                                                                              Definition: permutation.cpp:51
                                                                                              +
                                                                                              tensorwrapper::symmetry::Permutation::operator==
                                                                                              bool operator==(const Permutation &rhs) const noexcept
                                                                                              Is *this value equal to rhs?
                                                                                              Definition: permutation.hpp:196
                                                                                              +
                                                                                              tensorwrapper::symmetry
                                                                                              Sublibrary providing classes for describing the symmetry of a tensor.
                                                                                              Definition: group.hpp:25
                                                                                              diff --git a/tensorwrapper_cxx_api/physical_8hpp_source.html b/tensorwrapper_cxx_api/physical_8hpp_source.html index 8336c9b5..e0429d6e 100644 --- a/tensorwrapper_cxx_api/physical_8hpp_source.html +++ b/tensorwrapper_cxx_api/physical_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              @@ -142,9 +142,9 @@
                                                                                              tensorwrapper::layout::Physical
                                                                                              Specializes a LayoutBase for a layout describing how a tensor is actually laid out at runtime.
                                                                                              Definition: physical.hpp:29
                                                                                              tensorwrapper::layout::Physical::are_equal_
                                                                                              bool are_equal_(const layout_base &rhs) const noexcept override
                                                                                              Implements are_equal by calling are_equal_impl_.
                                                                                              Definition: physical.hpp:62
                                                                                              tensorwrapper::layout::Physical::clone_
                                                                                              layout_pointer clone_() const override
                                                                                              Implements clone by calling copy ctor.
                                                                                              Definition: physical.hpp:57
                                                                                              -
                                                                                              tensorwrapper::shape::ShapeBase
                                                                                              Code factorization for the various types of shapes.
                                                                                              Definition: shape_base.hpp:40
                                                                                              -
                                                                                              tensorwrapper::sparsity::Pattern
                                                                                              Base class for objects describing the sparsity of a tensor.
                                                                                              Definition: pattern.hpp:22
                                                                                              -
                                                                                              tensorwrapper::symmetry::Group
                                                                                              Container of the symmetry elements for a tensor.
                                                                                              Definition: group.hpp:37
                                                                                              +
                                                                                              tensorwrapper::shape::ShapeBase
                                                                                              Code factorization for the various types of shapes.
                                                                                              Definition: shape_base.hpp:42
                                                                                              +
                                                                                              tensorwrapper::sparsity::Pattern
                                                                                              Base class for objects describing the sparsity of a tensor.
                                                                                              Definition: pattern.hpp:25
                                                                                              +
                                                                                              tensorwrapper::symmetry::Group
                                                                                              Container of the symmetry elements for a tensor.
                                                                                              Definition: group.hpp:42
                                                                                              tensorwrapper::layout
                                                                                              Namespace for classes used to spe.
                                                                                              Definition: layout.hpp:22
                                                                                              diff --git a/tensorwrapper_cxx_api/polymorphic__base_8hpp_source.html b/tensorwrapper_cxx_api/polymorphic__base_8hpp_source.html index b2628fb5..13bc58ed 100644 --- a/tensorwrapper_cxx_api/polymorphic__base_8hpp_source.html +++ b/tensorwrapper_cxx_api/polymorphic__base_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              @@ -102,83 +102,87 @@
                                                                                              40 
                                                                                              42  using const_base_reference = const base_type&;
                                                                                              43 
                                                                                              -
                                                                                              45  using base_pointer = std::unique_ptr<base_type>;
                                                                                              +
                                                                                              45  using base_rvalue = base_type&&;
                                                                                              46 
                                                                                              -
                                                                                              48  using const_base_pointer = std::unique_ptr<const base_type>;
                                                                                              +
                                                                                              48  using base_pointer = std::unique_ptr<base_type>;
                                                                                              49 
                                                                                              -
                                                                                              51  using string_type = std::string;
                                                                                              +
                                                                                              51  using const_base_pointer = std::unique_ptr<const base_type>;
                                                                                              52 
                                                                                              -
                                                                                              54  virtual ~PolymorphicBase() noexcept = default;
                                                                                              +
                                                                                              54  using string_type = std::string;
                                                                                              55 
                                                                                              -
                                                                                              71  base_pointer clone() const { return clone_(); }
                                                                                              -
                                                                                              72 
                                                                                              -
                                                                                              87  template<typename DerivedType>
                                                                                              -
                                                                                              88  auto clone_as() const {
                                                                                              -
                                                                                              89  auto pbase = clone();
                                                                                              -
                                                                                              90  return detail_::static_pointer_cast<DerivedType>(pbase);
                                                                                              -
                                                                                              91  }
                                                                                              -
                                                                                              92 
                                                                                              -
                                                                                              113  bool are_equal(const_base_reference rhs) const noexcept {
                                                                                              -
                                                                                              114  // Downcast *this so it can be passed to are_equal_
                                                                                              -
                                                                                              115  const_base_reference plhs = static_cast<const_base_reference>(*this);
                                                                                              -
                                                                                              116 
                                                                                              -
                                                                                              117  // This line is necessary if are_equal_ is overriden in BaseType
                                                                                              -
                                                                                              118  const PolymorphicBase& rhs_upcast = rhs;
                                                                                              +
                                                                                              57  virtual ~PolymorphicBase() noexcept = default;
                                                                                              +
                                                                                              58 
                                                                                              +
                                                                                              74  base_pointer clone() const { return clone_(); }
                                                                                              +
                                                                                              75 
                                                                                              +
                                                                                              90  template<typename DerivedType>
                                                                                              +
                                                                                              91  auto clone_as() const {
                                                                                              +
                                                                                              92  auto pbase = clone();
                                                                                              +
                                                                                              93  return detail_::static_pointer_cast<DerivedType>(pbase);
                                                                                              +
                                                                                              94  }
                                                                                              +
                                                                                              95 
                                                                                              +
                                                                                              116  bool are_equal(const_base_reference rhs) const noexcept {
                                                                                              +
                                                                                              117  // Downcast *this so it can be passed to are_equal_
                                                                                              +
                                                                                              118  const_base_reference plhs = static_cast<const_base_reference>(*this);
                                                                                              119 
                                                                                              -
                                                                                              120  return are_equal_(rhs) && rhs_upcast.are_equal_(plhs);
                                                                                              -
                                                                                              121  }
                                                                                              +
                                                                                              120  // This line is necessary if are_equal_ is overriden in BaseType
                                                                                              +
                                                                                              121  const PolymorphicBase& rhs_upcast = rhs;
                                                                                              122 
                                                                                              -
                                                                                              136  bool are_different(const_base_reference rhs) const noexcept {
                                                                                              -
                                                                                              137  return !are_equal(rhs);
                                                                                              -
                                                                                              138  }
                                                                                              -
                                                                                              139 
                                                                                              -
                                                                                              151  auto to_string() const { return to_string_(); }
                                                                                              -
                                                                                              152 
                                                                                              -
                                                                                              153 protected:
                                                                                              -
                                                                                              162  PolymorphicBase() noexcept = default;
                                                                                              -
                                                                                              163 
                                                                                              -
                                                                                              173  PolymorphicBase(const PolymorphicBase& other) = default;
                                                                                              -
                                                                                              174 
                                                                                              -
                                                                                              186  virtual base_pointer clone_() const = 0;
                                                                                              -
                                                                                              187 
                                                                                              -
                                                                                              202  template<typename DerivedType>
                                                                                              -
                                                                                              203  bool are_equal_impl_(const_base_reference rhs) const noexcept {
                                                                                              -
                                                                                              204  auto plhs = dynamic_cast<const DerivedType*>(this);
                                                                                              -
                                                                                              205  auto prhs = dynamic_cast<const DerivedType*>(&rhs);
                                                                                              -
                                                                                              206  if(plhs == nullptr || prhs == nullptr) return false;
                                                                                              -
                                                                                              207  return (*plhs) == (*prhs);
                                                                                              -
                                                                                              208  }
                                                                                              -
                                                                                              209 
                                                                                              -
                                                                                              223  virtual bool are_equal_(const_base_reference rhs) const noexcept = 0;
                                                                                              -
                                                                                              224 
                                                                                              -
                                                                                              225  virtual string_type to_string_() const { return "{?}"; }
                                                                                              -
                                                                                              226 };
                                                                                              +
                                                                                              123  return are_equal_(rhs) && rhs_upcast.are_equal_(plhs);
                                                                                              +
                                                                                              124  }
                                                                                              +
                                                                                              125 
                                                                                              +
                                                                                              139  bool are_different(const_base_reference rhs) const noexcept {
                                                                                              +
                                                                                              140  return !are_equal(rhs);
                                                                                              +
                                                                                              141  }
                                                                                              +
                                                                                              142 
                                                                                              +
                                                                                              154  auto to_string() const { return to_string_(); }
                                                                                              +
                                                                                              155 
                                                                                              +
                                                                                              156 protected:
                                                                                              +
                                                                                              165  PolymorphicBase() noexcept = default;
                                                                                              +
                                                                                              166 
                                                                                              +
                                                                                              176  PolymorphicBase(const PolymorphicBase& other) = default;
                                                                                              +
                                                                                              177 
                                                                                              +
                                                                                              189  virtual base_pointer clone_() const = 0;
                                                                                              +
                                                                                              190 
                                                                                              +
                                                                                              205  template<typename DerivedType>
                                                                                              +
                                                                                              206  bool are_equal_impl_(const_base_reference rhs) const noexcept {
                                                                                              +
                                                                                              207  auto plhs = dynamic_cast<const DerivedType*>(this);
                                                                                              +
                                                                                              208  auto prhs = dynamic_cast<const DerivedType*>(&rhs);
                                                                                              +
                                                                                              209  if(plhs == nullptr || prhs == nullptr) return false;
                                                                                              +
                                                                                              210  return (*plhs) == (*prhs);
                                                                                              +
                                                                                              211  }
                                                                                              +
                                                                                              212 
                                                                                              +
                                                                                              226  virtual bool are_equal_(const_base_reference rhs) const noexcept = 0;
                                                                                              227 
                                                                                              -
                                                                                              229 template<typename T>
                                                                                              -
                                                                                              230 inline std::ostream& operator<<(std::ostream& os, const PolymorphicBase<T>& b) {
                                                                                              -
                                                                                              231  return os << b.to_string();
                                                                                              -
                                                                                              232 }
                                                                                              -
                                                                                              233 
                                                                                              -
                                                                                              234 } // namespace tensorwrapper::detail_
                                                                                              +
                                                                                              229  virtual string_type to_string_() const { return "{?}"; }
                                                                                              +
                                                                                              230 };
                                                                                              +
                                                                                              231 
                                                                                              +
                                                                                              233 template<typename T>
                                                                                              +
                                                                                              234 inline std::ostream& operator<<(std::ostream& os, const PolymorphicBase<T>& b) {
                                                                                              +
                                                                                              235  return os << b.to_string();
                                                                                              +
                                                                                              236 }
                                                                                              +
                                                                                              237 
                                                                                              +
                                                                                              238 } // namespace tensorwrapper::detail_
                                                                                              tensorwrapper::detail_::PolymorphicBase
                                                                                              Defines the API polymorphic utility methods should use.
                                                                                              Definition: polymorphic_base.hpp:33
                                                                                              tensorwrapper::detail_::PolymorphicBase::~PolymorphicBase
                                                                                              virtual ~PolymorphicBase() noexcept=default
                                                                                              Defaulted no-throw polymorphic dtor.
                                                                                              -
                                                                                              tensorwrapper::detail_::PolymorphicBase::are_different
                                                                                              bool are_different(const_base_reference rhs) const noexcept
                                                                                              Determines if *this and rhs are polymorphically different.
                                                                                              Definition: polymorphic_base.hpp:136
                                                                                              -
                                                                                              tensorwrapper::detail_::PolymorphicBase::are_equal_impl_
                                                                                              bool are_equal_impl_(const_base_reference rhs) const noexcept
                                                                                              Implements are_equal_ assuming the derived class implements operator==.
                                                                                              Definition: polymorphic_base.hpp:203
                                                                                              -
                                                                                              tensorwrapper::detail_::PolymorphicBase::to_string
                                                                                              auto to_string() const
                                                                                              Returns a string representation of *this.
                                                                                              Definition: polymorphic_base.hpp:151
                                                                                              -
                                                                                              tensorwrapper::detail_::PolymorphicBase::clone
                                                                                              base_pointer clone() const
                                                                                              Creates a deep polymorphic copy of *this via the base class.
                                                                                              Definition: polymorphic_base.hpp:71
                                                                                              -
                                                                                              tensorwrapper::detail_::PolymorphicBase::const_base_pointer
                                                                                              std::unique_ptr< const base_type > const_base_pointer
                                                                                              Pointer to a read-only object of type base_type.
                                                                                              Definition: polymorphic_base.hpp:48
                                                                                              +
                                                                                              tensorwrapper::detail_::PolymorphicBase::are_different
                                                                                              bool are_different(const_base_reference rhs) const noexcept
                                                                                              Determines if *this and rhs are polymorphically different.
                                                                                              Definition: polymorphic_base.hpp:139
                                                                                              +
                                                                                              tensorwrapper::detail_::PolymorphicBase::are_equal_impl_
                                                                                              bool are_equal_impl_(const_base_reference rhs) const noexcept
                                                                                              Implements are_equal_ assuming the derived class implements operator==.
                                                                                              Definition: polymorphic_base.hpp:206
                                                                                              +
                                                                                              tensorwrapper::detail_::PolymorphicBase::to_string
                                                                                              auto to_string() const
                                                                                              Returns a string representation of *this.
                                                                                              Definition: polymorphic_base.hpp:154
                                                                                              +
                                                                                              tensorwrapper::detail_::PolymorphicBase::clone
                                                                                              base_pointer clone() const
                                                                                              Creates a deep polymorphic copy of *this via the base class.
                                                                                              Definition: polymorphic_base.hpp:74
                                                                                              +
                                                                                              tensorwrapper::detail_::PolymorphicBase::const_base_pointer
                                                                                              std::unique_ptr< const base_type > const_base_pointer
                                                                                              Pointer to a read-only object of type base_type.
                                                                                              Definition: polymorphic_base.hpp:51
                                                                                              tensorwrapper::detail_::PolymorphicBase::const_base_reference
                                                                                              const base_type & const_base_reference
                                                                                              Read-only reference to an object of type base_type.
                                                                                              Definition: polymorphic_base.hpp:42
                                                                                              tensorwrapper::detail_::PolymorphicBase::base_reference
                                                                                              base_type & base_reference
                                                                                              Mutable reference to an object of type base_type.
                                                                                              Definition: polymorphic_base.hpp:39
                                                                                              -
                                                                                              tensorwrapper::detail_::PolymorphicBase::base_pointer
                                                                                              std::unique_ptr< base_type > base_pointer
                                                                                              Pointer to an object of type base_type.
                                                                                              Definition: polymorphic_base.hpp:45
                                                                                              +
                                                                                              tensorwrapper::detail_::PolymorphicBase::base_pointer
                                                                                              std::unique_ptr< base_type > base_pointer
                                                                                              Pointer to an object of type base_type.
                                                                                              Definition: polymorphic_base.hpp:48
                                                                                              +
                                                                                              tensorwrapper::detail_::PolymorphicBase::to_string_
                                                                                              virtual string_type to_string_() const
                                                                                              Should be overridden by the derived class to provide logging details.
                                                                                              Definition: polymorphic_base.hpp:229
                                                                                              tensorwrapper::detail_::PolymorphicBase::base_type
                                                                                              BaseType base_type
                                                                                              Type *this is implementing.
                                                                                              Definition: polymorphic_base.hpp:36
                                                                                              +
                                                                                              tensorwrapper::detail_::PolymorphicBase::base_rvalue
                                                                                              base_type && base_rvalue
                                                                                              Mutable rvalue reference to an object of type base_type.
                                                                                              Definition: polymorphic_base.hpp:45
                                                                                              tensorwrapper::detail_::PolymorphicBase::PolymorphicBase
                                                                                              PolymorphicBase() noexcept=default
                                                                                              No-op default ctor.
                                                                                              -
                                                                                              tensorwrapper::detail_::PolymorphicBase::are_equal
                                                                                              bool are_equal(const_base_reference rhs) const noexcept
                                                                                              Determines if *this and rhs are polymorphically equal.
                                                                                              Definition: polymorphic_base.hpp:113
                                                                                              +
                                                                                              tensorwrapper::detail_::PolymorphicBase::are_equal
                                                                                              bool are_equal(const_base_reference rhs) const noexcept
                                                                                              Determines if *this and rhs are polymorphically equal.
                                                                                              Definition: polymorphic_base.hpp:116
                                                                                              tensorwrapper::detail_::PolymorphicBase::clone_
                                                                                              virtual base_pointer clone_() const =0
                                                                                              Derived classes should override this method to implement clone.
                                                                                              -
                                                                                              tensorwrapper::detail_::PolymorphicBase::clone_as
                                                                                              auto clone_as() const
                                                                                              Creates a deep polymorphic copy, but returns the pointer as a class other than base_type.
                                                                                              Definition: polymorphic_base.hpp:88
                                                                                              -
                                                                                              tensorwrapper::detail_::PolymorphicBase::string_type
                                                                                              std::string string_type
                                                                                              Type used for representing *this as a string.
                                                                                              Definition: polymorphic_base.hpp:51
                                                                                              +
                                                                                              tensorwrapper::detail_::PolymorphicBase::clone_as
                                                                                              auto clone_as() const
                                                                                              Creates a deep polymorphic copy, but returns the pointer as a class other than base_type.
                                                                                              Definition: polymorphic_base.hpp:91
                                                                                              +
                                                                                              tensorwrapper::detail_::PolymorphicBase::string_type
                                                                                              std::string string_type
                                                                                              Type used for representing *this as a string.
                                                                                              Definition: polymorphic_base.hpp:54
                                                                                              tensorwrapper::detail_::PolymorphicBase::are_equal_
                                                                                              virtual bool are_equal_(const_base_reference rhs) const noexcept=0
                                                                                              Derived classes should override this method to implement are_equal.
                                                                                              tensorwrapper::detail_
                                                                                              Inline utilities and functions needed to implement the TensorWrapper library, but not considered part...
                                                                                              Definition: detail_.hpp:23
                                                                                              -
                                                                                              tensorwrapper::detail_::operator<<
                                                                                              std::ostream & operator<<(std::ostream &os, const PolymorphicBase< T > &b)
                                                                                              Implements printing via ostream for objects deriving from PolymorphicBase.
                                                                                              Definition: polymorphic_base.hpp:230
                                                                                              +
                                                                                              tensorwrapper::detail_::operator<<
                                                                                              std::ostream & operator<<(std::ostream &os, const PolymorphicBase< T > &b)
                                                                                              Implements printing via ostream for objects deriving from PolymorphicBase.
                                                                                              Definition: polymorphic_base.hpp:234
                                                                                              diff --git a/tensorwrapper_cxx_api/search/all_0.js b/tensorwrapper_cxx_api/search/all_0.js index 3f240d6f..93011316 100644 --- a/tensorwrapper_cxx_api/search/all_0.js +++ b/tensorwrapper_cxx_api/search/all_0.js @@ -1,22 +1,21 @@ var searchData= [ - ['addition_0',['addition',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#af739abfb5fd9a036981e932d18d7493d',1,'tensorwrapper::buffer::BufferBase']]], - ['addition_5fassignment_1',['addition_assignment',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a6a79c696381a885b0e121a34ab2228aa',1,'tensorwrapper::buffer::BufferBase']]], - ['addition_5fassignment_5f_2',['addition_assignment_',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#aa1fccebc814b167bced60675c6925922',1,'tensorwrapper::buffer::BufferBase::addition_assignment_()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#a2f95446c1a98b4766610eb23f6f84789',1,'tensorwrapper::buffer::Eigen::addition_assignment_()']]], - ['allocate_3',['allocate',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#ae794aa8350808fb7899f261649999022',1,'tensorwrapper::allocator::AllocatorBase::allocate()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#a6789d2a0a7fd762c5671e913b2f04d5a',1,'tensorwrapper::allocator::Eigen::allocate(const_eigen_layout_reference layout)'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#af52b823fee9c33a584af2d86d7da8888',1,'tensorwrapper::allocator::Eigen::allocate(eigen_layout_pointer playout)']]], - ['allocate_5f_4',['allocate_',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#ad00c2c0c84a221ab7e6370f54d12408d',1,'tensorwrapper::allocator::AllocatorBase::allocate_()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#a57127b21eb1c98c076901894262fd9a4',1,'tensorwrapper::allocator::Eigen::allocate_()']]], - ['allocator_5fbase_5',['allocator_base',['../structtensorwrapper_1_1detail___1_1TensorInput.html#aac944677287e1537e88b287388423df6',1,'tensorwrapper::detail_::TensorInput']]], - ['allocator_5fpointer_6',['allocator_pointer',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a3d1c2bdf9391585e8bba1362755b4762',1,'tensorwrapper::detail_::TensorInput']]], - ['allocatorbase_7',['AllocatorBase',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#ac37a21c1ed525f06fcf1cd68a79db39c',1,'tensorwrapper::allocator::AllocatorBase::AllocatorBase(runtime_view_type rv)'],['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a12f2466d567563a185cd2e0d8386b849',1,'tensorwrapper::allocator::AllocatorBase::AllocatorBase(const AllocatorBase &other)=default'],['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html',1,'tensorwrapper::allocator::AllocatorBase']]], - ['are_5fdifferent_8',['are_different',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a0fce0bfd83f932ec181aaeb0367ba712',1,'tensorwrapper::detail_::PolymorphicBase']]], - ['are_5fequal_9',['are_equal',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#aca6aec83f64355cc5d6b5cac49fc4308',1,'tensorwrapper::detail_::PolymorphicBase']]], - ['are_5fequal_5f_10',['are_equal_',['../classtensorwrapper_1_1layout_1_1Logical.html#a3bef0d7cf78e3919fa9f45b0466bc17a',1,'tensorwrapper::layout::Logical::are_equal_()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a9fe5860a29e83a487f969ba4b6e3d8ae',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::are_equal_()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#aaf2f990b9a30fac0c3c60b6ed892f87e',1,'tensorwrapper::symmetry::Permutation::are_equal_()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#ab7ca3a4130ba23645098e1cc77d8a342',1,'tensorwrapper::shape::Smooth::are_equal_()'],['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#af8ee6d1b455b90cb25552ce6aec53d8f',1,'tensorwrapper::detail_::PolymorphicBase::are_equal_()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#a1a5d451cf00ec7f568e0350c96a7064d',1,'tensorwrapper::buffer::Eigen::are_equal_()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#a12eadc5645a6b4348bfad5c620e5e72a',1,'tensorwrapper::allocator::Eigen::are_equal_()'],['../classtensorwrapper_1_1layout_1_1Physical.html#a1fd72079e5ba66dec9acbf671adb083d',1,'tensorwrapper::layout::Physical::are_equal_()']]], - ['are_5fequal_5fimpl_5f_11',['are_equal_impl_',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a2223944f002e239a36207f6e5203b44b',1,'tensorwrapper::detail_::PolymorphicBase']]], - ['as_5fconst_12',['as_const',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a88e8fc72870c35043fca05e452da3032',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL']]], - ['as_5fconst_5f_13',['as_const_',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#a6aaf7ed03e0afc1d94646b2b1cd7d85f',1,'tensorwrapper::shape::detail_::SmoothAlias::as_const_()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a8bf1df7b57ef74a6b384e2f4d51e8028',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::as_const_()']]], - ['as_5fsmooth_14',['as_smooth',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#adc5246e07dcb76906588900f5cc8e265',1,'tensorwrapper::shape::ShapeBase::as_smooth() const'],['../classtensorwrapper_1_1shape_1_1ShapeBase.html#ac416d9de13de18404af646efb60d1c6b',1,'tensorwrapper::shape::ShapeBase::as_smooth()']]], - ['as_5fsmooth_5f_15',['as_smooth_',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#abc1d89dcc40a397d5eff3e46828573db',1,'tensorwrapper::shape::ShapeBase::as_smooth_()=0'],['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a6575fd95197c39683bbb79e1dc1055de',1,'tensorwrapper::shape::ShapeBase::as_smooth_() const =0'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a5342c24b40c890838656a4c90e4a7b9f',1,'tensorwrapper::shape::Smooth::as_smooth_() override'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a99985e68993900f30c6f28e8e4cc78c0',1,'tensorwrapper::shape::Smooth::as_smooth_() const override']]], - ['assert_5fvalid_16',['assert_valid',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#af83a91c613e7d9b22d1682ef9098453d',1,'tensorwrapper::detail_::TensorFactory']]], - ['at_17',['at',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a44df5a4075800f2d50bd7831935e9e12',1,'tensorwrapper::symmetry::Permutation']]], - ['at_5f_18',['at_',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a3e2abb9719cca0bc1d48c8793d5dde00',1,'tensorwrapper::dsl::DummyIndices::at_(size_type i)'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a5b525e9a1b90415fd7d7d98a179cd104',1,'tensorwrapper::dsl::DummyIndices::at_(size_type i) const']]] + ['addition_5fassignment_0',['addition_assignment',['../classtensorwrapper_1_1detail___1_1DSLBase.html#aacb754acebdb8d12c93687a5a3eccfc1',1,'tensorwrapper::detail_::DSLBase']]], + ['addition_5fassignment_5f_1',['addition_assignment_',['../classtensorwrapper_1_1detail___1_1DSLBase.html#a1261d0e2f3cc156aadb55aff0c848033',1,'tensorwrapper::detail_::DSLBase::addition_assignment_()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#ae7efbe182609d0bbd15f4960e32217cd',1,'tensorwrapper::shape::Smooth::addition_assignment_()'],['../classtensorwrapper_1_1sparsity_1_1Pattern.html#aa6bc79e08e6dc6d80b3a7a2bd00b685b',1,'tensorwrapper::sparsity::Pattern::addition_assignment_()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a8d3f2900c65313f41c1c988d32521f8b',1,'tensorwrapper::symmetry::Group::addition_assignment_()']]], + ['allocate_2',['allocate',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#ae794aa8350808fb7899f261649999022',1,'tensorwrapper::allocator::AllocatorBase::allocate()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#a6789d2a0a7fd762c5671e913b2f04d5a',1,'tensorwrapper::allocator::Eigen::allocate(const_eigen_layout_reference layout)'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#af52b823fee9c33a584af2d86d7da8888',1,'tensorwrapper::allocator::Eigen::allocate(eigen_layout_pointer playout)']]], + ['allocate_5f_3',['allocate_',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#ad00c2c0c84a221ab7e6370f54d12408d',1,'tensorwrapper::allocator::AllocatorBase::allocate_()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#a57127b21eb1c98c076901894262fd9a4',1,'tensorwrapper::allocator::Eigen::allocate_()']]], + ['allocator_5fbase_4',['allocator_base',['../structtensorwrapper_1_1detail___1_1TensorInput.html#aac944677287e1537e88b287388423df6',1,'tensorwrapper::detail_::TensorInput']]], + ['allocator_5fpointer_5',['allocator_pointer',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a3d1c2bdf9391585e8bba1362755b4762',1,'tensorwrapper::detail_::TensorInput']]], + ['allocatorbase_6',['AllocatorBase',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#ac37a21c1ed525f06fcf1cd68a79db39c',1,'tensorwrapper::allocator::AllocatorBase::AllocatorBase(runtime_view_type rv)'],['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a12f2466d567563a185cd2e0d8386b849',1,'tensorwrapper::allocator::AllocatorBase::AllocatorBase(const AllocatorBase &other)=default'],['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html',1,'tensorwrapper::allocator::AllocatorBase']]], + ['are_5fdifferent_7',['are_different',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a0fce0bfd83f932ec181aaeb0367ba712',1,'tensorwrapper::detail_::PolymorphicBase']]], + ['are_5fequal_8',['are_equal',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#aca6aec83f64355cc5d6b5cac49fc4308',1,'tensorwrapper::detail_::PolymorphicBase']]], + ['are_5fequal_5f_9',['are_equal_',['../classtensorwrapper_1_1layout_1_1Logical.html#a3bef0d7cf78e3919fa9f45b0466bc17a',1,'tensorwrapper::layout::Logical::are_equal_()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a9fe5860a29e83a487f969ba4b6e3d8ae',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::are_equal_()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#aaf2f990b9a30fac0c3c60b6ed892f87e',1,'tensorwrapper::symmetry::Permutation::are_equal_()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a5f21437b1938cdc2e87c7063c5b3c4a0',1,'tensorwrapper::symmetry::Group::are_equal_()'],['../classtensorwrapper_1_1sparsity_1_1Pattern.html#a5aec35076cae77ace77444e47b9edf61',1,'tensorwrapper::sparsity::Pattern::are_equal_()'],['../classtensorwrapper_1_1layout_1_1Physical.html#a1fd72079e5ba66dec9acbf671adb083d',1,'tensorwrapper::layout::Physical::are_equal_()'],['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#af8ee6d1b455b90cb25552ce6aec53d8f',1,'tensorwrapper::detail_::PolymorphicBase::are_equal_()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#a1a5d451cf00ec7f568e0350c96a7064d',1,'tensorwrapper::buffer::Eigen::are_equal_()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#a12eadc5645a6b4348bfad5c620e5e72a',1,'tensorwrapper::allocator::Eigen::are_equal_()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#ab7ca3a4130ba23645098e1cc77d8a342',1,'tensorwrapper::shape::Smooth::are_equal_()']]], + ['are_5fequal_5fimpl_5f_10',['are_equal_impl_',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a2223944f002e239a36207f6e5203b44b',1,'tensorwrapper::detail_::PolymorphicBase']]], + ['as_5fconst_11',['as_const',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a88e8fc72870c35043fca05e452da3032',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL']]], + ['as_5fconst_5f_12',['as_const_',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#a6aaf7ed03e0afc1d94646b2b1cd7d85f',1,'tensorwrapper::shape::detail_::SmoothAlias::as_const_()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a8bf1df7b57ef74a6b384e2f4d51e8028',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::as_const_()']]], + ['as_5fsmooth_13',['as_smooth',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#ac416d9de13de18404af646efb60d1c6b',1,'tensorwrapper::shape::ShapeBase::as_smooth()'],['../classtensorwrapper_1_1shape_1_1ShapeBase.html#adc5246e07dcb76906588900f5cc8e265',1,'tensorwrapper::shape::ShapeBase::as_smooth() const']]], + ['as_5fsmooth_5f_14',['as_smooth_',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#abc1d89dcc40a397d5eff3e46828573db',1,'tensorwrapper::shape::ShapeBase::as_smooth_()=0'],['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a6575fd95197c39683bbb79e1dc1055de',1,'tensorwrapper::shape::ShapeBase::as_smooth_() const =0'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a5342c24b40c890838656a4c90e4a7b9f',1,'tensorwrapper::shape::Smooth::as_smooth_() override'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a99985e68993900f30c6f28e8e4cc78c0',1,'tensorwrapper::shape::Smooth::as_smooth_() const override']]], + ['assert_5fvalid_15',['assert_valid',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#af83a91c613e7d9b22d1682ef9098453d',1,'tensorwrapper::detail_::TensorFactory']]], + ['at_16',['at',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a44df5a4075800f2d50bd7831935e9e12',1,'tensorwrapper::symmetry::Permutation']]], + ['at_5f_17',['at_',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a3e2abb9719cca0bc1d48c8793d5dde00',1,'tensorwrapper::dsl::DummyIndices::at_(size_type i)'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a5b525e9a1b90415fd7d7d98a179cd104',1,'tensorwrapper::dsl::DummyIndices::at_(size_type i) const']]] ]; diff --git a/tensorwrapper_cxx_api/search/all_1.js b/tensorwrapper_cxx_api/search/all_1.js index 4787b6c9..f98e1a1f 100644 --- a/tensorwrapper_cxx_api/search/all_1.js +++ b/tensorwrapper_cxx_api/search/all_1.js @@ -1,14 +1,15 @@ var searchData= [ - ['base_5fpointer_19',['base_pointer',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a5623524f9de386896bc7600f78d0250e',1,'tensorwrapper::detail_::PolymorphicBase::base_pointer()'],['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a3acd75602fbd3d68f3578528cd5b211a',1,'tensorwrapper::shape::ShapeBase::base_pointer()'],['../classtensorwrapper_1_1symmetry_1_1Operation.html#add0f9ec9c6e2118d3052b0ce41535be0',1,'tensorwrapper::symmetry::Operation::base_pointer()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#a5623524f9de386896bc7600f78d0250e',1,'tensorwrapper::allocator::Eigen::base_pointer()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#add0f9ec9c6e2118d3052b0ce41535be0',1,'tensorwrapper::symmetry::Permutation::base_pointer()']]], - ['base_5freference_20',['base_reference',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a4d4cdbec8c20631c3bf9caf684f0fe1c',1,'tensorwrapper::detail_::PolymorphicBase::base_reference()'],['../classtensorwrapper_1_1symmetry_1_1Operation.html#a3cf6b4c5be221c6ea5726bcef593fffb',1,'tensorwrapper::symmetry::Operation::base_reference()']]], + ['base_5fpointer_18',['base_pointer',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a5623524f9de386896bc7600f78d0250e',1,'tensorwrapper::detail_::PolymorphicBase::base_pointer()'],['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a3acd75602fbd3d68f3578528cd5b211a',1,'tensorwrapper::shape::ShapeBase::base_pointer()'],['../classtensorwrapper_1_1symmetry_1_1Operation.html#add0f9ec9c6e2118d3052b0ce41535be0',1,'tensorwrapper::symmetry::Operation::base_pointer()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#a5623524f9de386896bc7600f78d0250e',1,'tensorwrapper::allocator::Eigen::base_pointer()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#add0f9ec9c6e2118d3052b0ce41535be0',1,'tensorwrapper::symmetry::Permutation::base_pointer()']]], + ['base_5freference_19',['base_reference',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a4d4cdbec8c20631c3bf9caf684f0fe1c',1,'tensorwrapper::detail_::PolymorphicBase::base_reference()'],['../classtensorwrapper_1_1symmetry_1_1Operation.html#a3cf6b4c5be221c6ea5726bcef593fffb',1,'tensorwrapper::symmetry::Operation::base_reference()']]], + ['base_5frvalue_20',['base_rvalue',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a808afdcccc21b8ad1a6e4a8ee2296ae1',1,'tensorwrapper::detail_::PolymorphicBase']]], ['base_5ftype_21',['base_type',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a7e74500695d4b9ef7768743fe6c1e29b',1,'tensorwrapper::detail_::PolymorphicBase::base_type()'],['../classtensorwrapper_1_1symmetry_1_1Operation.html#add7759842e3346aa6491e5efe37dc8f7',1,'tensorwrapper::symmetry::Operation::base_type()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#ae7bd4bc2f38151899b1377f136ac0136',1,'tensorwrapper::shape::detail_::SmoothAlias::base_type()'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a42d5253d9f97cfbdb31dca92d456f64e',1,'tensorwrapper::dsl::DummyIndices::base_type()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#add7759842e3346aa6491e5efe37dc8f7',1,'tensorwrapper::symmetry::Permutation::base_type()']]], - ['buffer_22',['buffer',['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#aba7813fcfb6cab382efdfd8a4cf391a2',1,'tensorwrapper::detail_::TensorPIMPL::buffer() const'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#a8398d69f1994ceb0a4a07f1d62efe211',1,'tensorwrapper::detail_::TensorPIMPL::buffer()'],['../classtensorwrapper_1_1Tensor.html#a399184a167a00c7b2a6a8c84d8286135',1,'tensorwrapper::Tensor::buffer()'],['../classtensorwrapper_1_1Tensor.html#a4bebb4bd3a8937abfdec46320f5bbdf8',1,'tensorwrapper::Tensor::buffer() const']]], + ['buffer_22',['buffer',['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#a8398d69f1994ceb0a4a07f1d62efe211',1,'tensorwrapper::detail_::TensorPIMPL::buffer()'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#aba7813fcfb6cab382efdfd8a4cf391a2',1,'tensorwrapper::detail_::TensorPIMPL::buffer() const'],['../classtensorwrapper_1_1Tensor.html#a4bebb4bd3a8937abfdec46320f5bbdf8',1,'tensorwrapper::Tensor::buffer() const'],['../classtensorwrapper_1_1Tensor.html#a399184a167a00c7b2a6a8c84d8286135',1,'tensorwrapper::Tensor::buffer()']]], ['buffer_5fbase_23',['buffer_base',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a8548d040e6a32939c31eace60fad8915',1,'tensorwrapper::detail_::TensorInput']]], ['buffer_5fbase_5fpointer_24',['buffer_base_pointer',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a3609509b339a0cc576a78aac85f80310',1,'tensorwrapper::allocator::AllocatorBase::buffer_base_pointer()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a04f86f7d4637da25f0ece78f3500d870',1,'tensorwrapper::buffer::BufferBase::buffer_base_pointer()']]], ['buffer_5fbase_5freference_25',['buffer_base_reference',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a45306886722d9291a6da60415f84d3b2',1,'tensorwrapper::allocator::AllocatorBase::buffer_base_reference()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a07cb4b81e0a486e6bc04a6b1d43b8093',1,'tensorwrapper::buffer::BufferBase::buffer_base_reference()']]], - ['buffer_5fbase_5ftype_26',['buffer_base_type',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#aade794422a9ac2b7a92f0884e8b2b922',1,'tensorwrapper::buffer::BufferBase::buffer_base_type()'],['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a560c19cee3f996c44052fb5cac954183',1,'tensorwrapper::allocator::AllocatorBase::buffer_base_type()']]], + ['buffer_5fbase_5ftype_26',['buffer_base_type',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a560c19cee3f996c44052fb5cac954183',1,'tensorwrapper::allocator::AllocatorBase::buffer_base_type()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#aade794422a9ac2b7a92f0884e8b2b922',1,'tensorwrapper::buffer::BufferBase::buffer_base_type()']]], ['buffer_5fpointer_27',['buffer_pointer',['../structtensorwrapper_1_1detail___1_1TensorInput.html#aaea587da44957ed1348f1f54c534a27c',1,'tensorwrapper::detail_::TensorInput::buffer_pointer()'],['../classtensorwrapper_1_1Tensor.html#a8bb33f6b728ebcefdeb05c9da8aab71f',1,'tensorwrapper::Tensor::buffer_pointer()']]], ['buffer_5freference_28',['buffer_reference',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a9eda2e42631e21ffac3f45f309e014bc',1,'tensorwrapper::detail_::TensorInput::buffer_reference()'],['../classtensorwrapper_1_1Tensor.html#a39c4e82268f2b91f0e8d6034830cf52a',1,'tensorwrapper::Tensor::buffer_reference()']]], - ['bufferbase_29',['BufferBase',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#aba4a07e6b73c9ce7826be6690e600b18',1,'tensorwrapper::buffer::BufferBase::BufferBase()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a14d94b478d912ff70ba634f6b9332de2',1,'tensorwrapper::buffer::BufferBase::BufferBase(const_layout_reference layout)'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a2193858e97e1e3204bff53cf15310b52',1,'tensorwrapper::buffer::BufferBase::BufferBase(layout_pointer playout) noexcept'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a15a3a6628e4afb8113b7c31ab6ed7ccb',1,'tensorwrapper::buffer::BufferBase::BufferBase(const BufferBase &other)'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html',1,'tensorwrapper::buffer::BufferBase']]] + ['bufferbase_29',['BufferBase',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a15a3a6628e4afb8113b7c31ab6ed7ccb',1,'tensorwrapper::buffer::BufferBase::BufferBase(const BufferBase &other)'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a2193858e97e1e3204bff53cf15310b52',1,'tensorwrapper::buffer::BufferBase::BufferBase(layout_pointer playout) noexcept'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a14d94b478d912ff70ba634f6b9332de2',1,'tensorwrapper::buffer::BufferBase::BufferBase(const_layout_reference layout)'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#aba4a07e6b73c9ce7826be6690e600b18',1,'tensorwrapper::buffer::BufferBase::BufferBase()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html',1,'tensorwrapper::buffer::BufferBase']]] ]; diff --git a/tensorwrapper_cxx_api/search/all_10.js b/tensorwrapper_cxx_api/search/all_10.js index ad3c94e4..176117ee 100644 --- a/tensorwrapper_cxx_api/search/all_10.js +++ b/tensorwrapper_cxx_api/search/all_10.js @@ -1,4 +1,4 @@ var searchData= [ - ['unique_5findex_5fsize_202',['unique_index_size',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a5cc5d9056ed0d7c8b37dfdbf6d7c19c6',1,'tensorwrapper::dsl::DummyIndices']]] + ['unique_5findex_5fsize_227',['unique_index_size',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a5cc5d9056ed0d7c8b37dfdbf6d7c19c6',1,'tensorwrapper::dsl::DummyIndices']]] ]; diff --git a/tensorwrapper_cxx_api/search/all_11.js b/tensorwrapper_cxx_api/search/all_11.js index d58b0224..fe5818ac 100644 --- a/tensorwrapper_cxx_api/search/all_11.js +++ b/tensorwrapper_cxx_api/search/all_11.js @@ -1,6 +1,6 @@ var searchData= [ - ['value_203',['value',['../classtensorwrapper_1_1buffer_1_1Eigen.html#a9b2fa5cd17d51787c52b228be181ef6a',1,'tensorwrapper::buffer::Eigen::value()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#a75bd252214a3a7e12eef2df5445087a9',1,'tensorwrapper::buffer::Eigen::value() const']]], - ['value_5ftype_204',['value_type',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a8b9e9303ed7ed39fa56bdb800af92f2f',1,'tensorwrapper::dsl::DummyIndices::value_type()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a514bfe739fcb010c6848e72e145bdb88',1,'tensorwrapper::symmetry::Group::value_type()']]], - ['vector_5fil_5ftype_205',['vector_il_type',['../classtensorwrapper_1_1Tensor.html#a49549e657f4e223cfe7622f1b633e294',1,'tensorwrapper::Tensor::vector_il_type()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#aadb5a4c241ae0c9dab9bac63bdce12de',1,'tensorwrapper::detail_::TensorFactory::vector_il_type()']]] + ['value_228',['value',['../classtensorwrapper_1_1buffer_1_1Eigen.html#a9b2fa5cd17d51787c52b228be181ef6a',1,'tensorwrapper::buffer::Eigen::value()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#a75bd252214a3a7e12eef2df5445087a9',1,'tensorwrapper::buffer::Eigen::value() const']]], + ['value_5ftype_229',['value_type',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a8b9e9303ed7ed39fa56bdb800af92f2f',1,'tensorwrapper::dsl::DummyIndices::value_type()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a514bfe739fcb010c6848e72e145bdb88',1,'tensorwrapper::symmetry::Group::value_type()']]], + ['vector_5fil_5ftype_230',['vector_il_type',['../classtensorwrapper_1_1Tensor.html#a49549e657f4e223cfe7622f1b633e294',1,'tensorwrapper::Tensor::vector_il_type()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#aadb5a4c241ae0c9dab9bac63bdce12de',1,'tensorwrapper::detail_::TensorFactory::vector_il_type()']]] ]; diff --git a/tensorwrapper_cxx_api/search/all_12.js b/tensorwrapper_cxx_api/search/all_12.js index 74ec5b65..3525652f 100644 --- a/tensorwrapper_cxx_api/search/all_12.js +++ b/tensorwrapper_cxx_api/search/all_12.js @@ -1,10 +1,11 @@ var searchData= [ - ['_7elayoutbase_206',['~LayoutBase',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#aaebca0bcf4334a9715b1f5d6c8d691cf',1,'tensorwrapper::layout::LayoutBase']]], - ['_7eoperation_207',['~Operation',['../classtensorwrapper_1_1symmetry_1_1Operation.html#af5199a31e0d06f0ca319d0416886dae3',1,'tensorwrapper::symmetry::Operation']]], - ['_7epolymorphicbase_208',['~PolymorphicBase',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a024e62fa649f93a0cd1039a136381b47',1,'tensorwrapper::detail_::PolymorphicBase']]], - ['_7eshapebase_209',['~ShapeBase',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#aa4162d33ca58e8eaa4da1f4a883bf377',1,'tensorwrapper::shape::ShapeBase']]], - ['_7esmooth_210',['~Smooth',['../classtensorwrapper_1_1shape_1_1Smooth.html#a578dfa1e031e303eae82ea8611d7bb7f',1,'tensorwrapper::shape::Smooth']]], - ['_7esmoothview_211',['~SmoothView',['../classtensorwrapper_1_1shape_1_1SmoothView.html#a40e2e4f8b230bb3f42af6bca310f24f9',1,'tensorwrapper::shape::SmoothView']]], - ['_7etensor_212',['~Tensor',['../classtensorwrapper_1_1Tensor.html#a6a73c265b181e4030f01b575335a3855',1,'tensorwrapper::Tensor']]] + ['_7edslbase_231',['~DSLBase',['../classtensorwrapper_1_1detail___1_1DSLBase.html#a13304dcd5e5f4e71ef85c53c92218fdf',1,'tensorwrapper::detail_::DSLBase']]], + ['_7elayoutbase_232',['~LayoutBase',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#aaebca0bcf4334a9715b1f5d6c8d691cf',1,'tensorwrapper::layout::LayoutBase']]], + ['_7eoperation_233',['~Operation',['../classtensorwrapper_1_1symmetry_1_1Operation.html#af5199a31e0d06f0ca319d0416886dae3',1,'tensorwrapper::symmetry::Operation']]], + ['_7epolymorphicbase_234',['~PolymorphicBase',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a024e62fa649f93a0cd1039a136381b47',1,'tensorwrapper::detail_::PolymorphicBase']]], + ['_7eshapebase_235',['~ShapeBase',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#aa4162d33ca58e8eaa4da1f4a883bf377',1,'tensorwrapper::shape::ShapeBase']]], + ['_7esmooth_236',['~Smooth',['../classtensorwrapper_1_1shape_1_1Smooth.html#a578dfa1e031e303eae82ea8611d7bb7f',1,'tensorwrapper::shape::Smooth']]], + ['_7esmoothview_237',['~SmoothView',['../classtensorwrapper_1_1shape_1_1SmoothView.html#a40e2e4f8b230bb3f42af6bca310f24f9',1,'tensorwrapper::shape::SmoothView']]], + ['_7etensor_238',['~Tensor',['../classtensorwrapper_1_1Tensor.html#a6a73c265b181e4030f01b575335a3855',1,'tensorwrapper::Tensor']]] ]; diff --git a/tensorwrapper_cxx_api/search/all_2.js b/tensorwrapper_cxx_api/search/all_2.js index d25860e2..c052e3b0 100644 --- a/tensorwrapper_cxx_api/search/all_2.js +++ b/tensorwrapper_cxx_api/search/all_2.js @@ -3,34 +3,35 @@ var searchData= ['can_5fmake_5flogical_5flayout_30',['can_make_logical_layout',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#ad533e483fcf260b635d3c7dd25af9372',1,'tensorwrapper::detail_::TensorFactory']]], ['can_5frebind_31',['can_rebind',['../classtensorwrapper_1_1allocator_1_1Eigen.html#abe7f0f831c08af0e9e5cec0db5f2ba94',1,'tensorwrapper::allocator::Eigen']]], ['clone_32',['clone',['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#a65d69622826a9ad7352e984371e11193',1,'tensorwrapper::detail_::TensorPIMPL::clone()'],['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a3b29b65a2f44ca721ce151a312a98521',1,'tensorwrapper::detail_::PolymorphicBase::clone()']]], - ['clone_5f_33',['clone_',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a097f6e36331c362231b34019a591a46d',1,'tensorwrapper::allocator::Eigen::clone_()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#ab7879d4a3e1fb5aae1d08edf88aa769a',1,'tensorwrapper::buffer::Eigen::clone_()'],['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#ad0ce72301f81d6ad7f6316e84dee80e5',1,'tensorwrapper::detail_::PolymorphicBase::clone_()'],['../classtensorwrapper_1_1layout_1_1Logical.html#a7ba14c956d52f3606a2a23d342a8336a',1,'tensorwrapper::layout::Logical::clone_()'],['../classtensorwrapper_1_1layout_1_1Physical.html#a38aee75a8072d1306b2f28cfaab44e40',1,'tensorwrapper::layout::Physical::clone_()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#ae638638ec86343c4d8a52864f6798b11',1,'tensorwrapper::shape::Smooth::clone_()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a01deb070f1bdb9e781269952cffb9d30',1,'tensorwrapper::symmetry::Permutation::clone_()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#a0824489bea9513ac0f1316105a15f3e2',1,'tensorwrapper::shape::detail_::SmoothAlias::clone_()']]], + ['clone_5f_33',['clone_',['../classtensorwrapper_1_1symmetry_1_1Group.html#aaa1560f2e85c8c193f71a263af2e2532',1,'tensorwrapper::symmetry::Group::clone_()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#a0824489bea9513ac0f1316105a15f3e2',1,'tensorwrapper::shape::detail_::SmoothAlias::clone_()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a01deb070f1bdb9e781269952cffb9d30',1,'tensorwrapper::symmetry::Permutation::clone_()'],['../classtensorwrapper_1_1sparsity_1_1Pattern.html#a45adc598fd3dae7a33e06c3e1452bc70',1,'tensorwrapper::sparsity::Pattern::clone_()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#ae638638ec86343c4d8a52864f6798b11',1,'tensorwrapper::shape::Smooth::clone_()'],['../classtensorwrapper_1_1layout_1_1Physical.html#a38aee75a8072d1306b2f28cfaab44e40',1,'tensorwrapper::layout::Physical::clone_()'],['../classtensorwrapper_1_1layout_1_1Logical.html#a7ba14c956d52f3606a2a23d342a8336a',1,'tensorwrapper::layout::Logical::clone_()'],['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#ad0ce72301f81d6ad7f6316e84dee80e5',1,'tensorwrapper::detail_::PolymorphicBase::clone_()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#ab7879d4a3e1fb5aae1d08edf88aa769a',1,'tensorwrapper::buffer::Eigen::clone_()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#a097f6e36331c362231b34019a591a46d',1,'tensorwrapper::allocator::Eigen::clone_()']]], ['clone_5fas_34',['clone_as',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#ad4cdc663a4e292257ec6a63815c17cbe',1,'tensorwrapper::detail_::PolymorphicBase']]], - ['const_5fallocator_5freference_35',['const_allocator_reference',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a3410637a84157c16f3de59010c53c610',1,'tensorwrapper::detail_::TensorInput']]], - ['const_5fbase_5fpointer_36',['const_base_pointer',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a49c3855ca63ff779fd2ed214510057c8',1,'tensorwrapper::detail_::PolymorphicBase']]], - ['const_5fbase_5freference_37',['const_base_reference',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a13df5d90978bf52590d582e9c7aba760',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::const_base_reference()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#ad0a9253de785e23aa03b18c31734123f',1,'tensorwrapper::symmetry::Permutation::const_base_reference()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#a4d3ea0c25ad674f9796b74e2fe62a818',1,'tensorwrapper::allocator::Eigen::const_base_reference()'],['../classtensorwrapper_1_1symmetry_1_1Operation.html#ad0a9253de785e23aa03b18c31734123f',1,'tensorwrapper::symmetry::Operation::const_base_reference()'],['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a4d3ea0c25ad674f9796b74e2fe62a818',1,'tensorwrapper::detail_::PolymorphicBase::const_base_reference()']]], - ['const_5fbuffer_5fbase_5fpointer_38',['const_buffer_base_pointer',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a0221dda49239d464ef7b58c6626ed18b',1,'tensorwrapper::buffer::BufferBase']]], - ['const_5fbuffer_5fbase_5freference_39',['const_buffer_base_reference',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a883ffaa9c2524f980d4b9bf083d9ace3',1,'tensorwrapper::allocator::AllocatorBase::const_buffer_base_reference()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a19048eb3d8498ec41f826dac7a5f4803',1,'tensorwrapper::buffer::BufferBase::const_buffer_base_reference()']]], - ['const_5fbuffer_5fpointer_40',['const_buffer_pointer',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a5a79f1c9c540e48097c66e1b8265fb0e',1,'tensorwrapper::detail_::TensorInput::const_buffer_pointer()'],['../classtensorwrapper_1_1Tensor.html#a18c9c4f79c37305d246e52cd5e43dda9',1,'tensorwrapper::Tensor::const_buffer_pointer()']]], - ['const_5fbuffer_5freference_41',['const_buffer_reference',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a6f1195780127ca59beb5ffde9f9796d1',1,'tensorwrapper::detail_::TensorInput::const_buffer_reference()'],['../classtensorwrapper_1_1Tensor.html#a3837f8a61174ecf23a5be4917269a50c',1,'tensorwrapper::Tensor::const_buffer_reference()']]], - ['const_5fdata_5freference_42',['const_data_reference',['../classtensorwrapper_1_1buffer_1_1Eigen.html#ab5136acadfeeeb2ab61b3b7f42f997aa',1,'tensorwrapper::buffer::Eigen']]], - ['const_5feigen_5fbuffer_5freference_43',['const_eigen_buffer_reference',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a65e484532a6d628e36f603aeb724266f',1,'tensorwrapper::allocator::Eigen']]], - ['const_5feigen_5flayout_5freference_44',['const_eigen_layout_reference',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a8a075c781dfc1d2eb234fb6ebe6695d3',1,'tensorwrapper::allocator::Eigen']]], - ['const_5flabel_5freference_45',['const_label_reference',['../classtensorwrapper_1_1Tensor.html#a1281f1d61e3b18595be65b7c4b2ba3c4',1,'tensorwrapper::Tensor']]], - ['const_5flabeled_5fbuffer_5freference_46',['const_labeled_buffer_reference',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#acf8920ddd75abce1a320421a72fc6ad2',1,'tensorwrapper::buffer::BufferBase']]], - ['const_5flabeled_5ftensor_5ftype_47',['const_labeled_tensor_type',['../classtensorwrapper_1_1Tensor.html#a285466a710320a14769271c0cd5704d1',1,'tensorwrapper::Tensor']]], + ['concatenation_35',['concatenation',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a7c4440bda43c5e60d31262e548213519',1,'tensorwrapper::dsl::DummyIndices']]], + ['const_5fallocator_5freference_36',['const_allocator_reference',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a3410637a84157c16f3de59010c53c610',1,'tensorwrapper::detail_::TensorInput']]], + ['const_5fbase_5fpointer_37',['const_base_pointer',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a49c3855ca63ff779fd2ed214510057c8',1,'tensorwrapper::detail_::PolymorphicBase']]], + ['const_5fbase_5freference_38',['const_base_reference',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a4d3ea0c25ad674f9796b74e2fe62a818',1,'tensorwrapper::detail_::PolymorphicBase::const_base_reference()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#ad0a9253de785e23aa03b18c31734123f',1,'tensorwrapper::symmetry::Permutation::const_base_reference()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#a4d3ea0c25ad674f9796b74e2fe62a818',1,'tensorwrapper::allocator::Eigen::const_base_reference()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a13df5d90978bf52590d582e9c7aba760',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::const_base_reference()'],['../classtensorwrapper_1_1symmetry_1_1Operation.html#ad0a9253de785e23aa03b18c31734123f',1,'tensorwrapper::symmetry::Operation::const_base_reference()']]], + ['const_5fbuffer_5fbase_5fpointer_39',['const_buffer_base_pointer',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a0221dda49239d464ef7b58c6626ed18b',1,'tensorwrapper::buffer::BufferBase']]], + ['const_5fbuffer_5fbase_5freference_40',['const_buffer_base_reference',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a883ffaa9c2524f980d4b9bf083d9ace3',1,'tensorwrapper::allocator::AllocatorBase::const_buffer_base_reference()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a19048eb3d8498ec41f826dac7a5f4803',1,'tensorwrapper::buffer::BufferBase::const_buffer_base_reference()']]], + ['const_5fbuffer_5fpointer_41',['const_buffer_pointer',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a5a79f1c9c540e48097c66e1b8265fb0e',1,'tensorwrapper::detail_::TensorInput::const_buffer_pointer()'],['../classtensorwrapper_1_1Tensor.html#a18c9c4f79c37305d246e52cd5e43dda9',1,'tensorwrapper::Tensor::const_buffer_pointer()']]], + ['const_5fbuffer_5freference_42',['const_buffer_reference',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a6f1195780127ca59beb5ffde9f9796d1',1,'tensorwrapper::detail_::TensorInput::const_buffer_reference()'],['../classtensorwrapper_1_1Tensor.html#a3837f8a61174ecf23a5be4917269a50c',1,'tensorwrapper::Tensor::const_buffer_reference()']]], + ['const_5fdata_5freference_43',['const_data_reference',['../classtensorwrapper_1_1buffer_1_1Eigen.html#ab5136acadfeeeb2ab61b3b7f42f997aa',1,'tensorwrapper::buffer::Eigen']]], + ['const_5feigen_5fbuffer_5freference_44',['const_eigen_buffer_reference',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a65e484532a6d628e36f603aeb724266f',1,'tensorwrapper::allocator::Eigen']]], + ['const_5feigen_5flayout_5freference_45',['const_eigen_layout_reference',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a8a075c781dfc1d2eb234fb6ebe6695d3',1,'tensorwrapper::allocator::Eigen']]], + ['const_5flabel_5freference_46',['const_label_reference',['../classtensorwrapper_1_1dsl_1_1Labeled.html#aabcbcb1c8799a8edbfeaecb347f0adca',1,'tensorwrapper::dsl::Labeled']]], + ['const_5flabeled_5freference_47',['const_labeled_reference',['../classtensorwrapper_1_1detail___1_1DSLBase.html#af81286387b2df29588b36bf10a073048',1,'tensorwrapper::detail_::DSLBase']]], ['const_5flayout_5freference_48',['const_layout_reference',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a9f1c648e0258595f1ff3fb731da2db0b',1,'tensorwrapper::buffer::BufferBase::const_layout_reference()'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#ab1df8fa48c499f1f3a23278bc51199ce',1,'tensorwrapper::layout::LayoutBase::const_layout_reference()']]], ['const_5flogical_5freference_49',['const_logical_reference',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a68c18d210e3f26d574fb76b477189945',1,'tensorwrapper::detail_::TensorInput::const_logical_reference()'],['../classtensorwrapper_1_1Tensor.html#ab9f0826cf3a1b0b2241c728ecdf0ae84',1,'tensorwrapper::Tensor::const_logical_reference()']]], - ['const_5fphysical_5freference_50',['const_physical_reference',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a2939acd15d8580ae2d0d5b3dc73c2b40',1,'tensorwrapper::detail_::TensorInput']]], - ['const_5freference_51',['const_reference',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#ac450f900ed5b1686a5b48e3bb03d564c',1,'tensorwrapper::dsl::DummyIndices::const_reference()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#aefd312766bfafcb1c13b03c6370e5666',1,'tensorwrapper::symmetry::Group::const_reference()']]], - ['const_5fruntime_5fview_5freference_52',['const_runtime_view_reference',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a21bd3e0eb647e7f815ac22935195aad2',1,'tensorwrapper::allocator::AllocatorBase']]], - ['const_5fshape_5freference_53',['const_shape_reference',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#ae83b92c51b81330c984fe5381dbf6602',1,'tensorwrapper::layout::LayoutBase::const_shape_reference()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#af60941db8321bbbe81ab6e6164f91335',1,'tensorwrapper::detail_::TensorInput::const_shape_reference()'],['../classtensorwrapper_1_1layout_1_1Logical.html#ae83b92c51b81330c984fe5381dbf6602',1,'tensorwrapper::layout::Logical::const_shape_reference()'],['../classtensorwrapper_1_1layout_1_1Physical.html#ae83b92c51b81330c984fe5381dbf6602',1,'tensorwrapper::layout::Physical::const_shape_reference()']]], - ['const_5fsmooth_5freference_54',['const_smooth_reference',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a36d6f6490ad9a01b06e4dfbff6f423dc',1,'tensorwrapper::shape::ShapeBase']]], - ['const_5fsmooth_5fview_5fpimpl_5fpointer_55',['const_smooth_view_pimpl_pointer',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#a6cb862859ac1393933cf7da11cbab135',1,'tensorwrapper::shape::detail_::SmoothAlias::const_smooth_view_pimpl_pointer()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a6cb862859ac1393933cf7da11cbab135',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::const_smooth_view_pimpl_pointer()']]], - ['const_5fsparsity_5freference_56',['const_sparsity_reference',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a5b77efc3d60217888dec97e6db11683e',1,'tensorwrapper::layout::LayoutBase::const_sparsity_reference()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#afd4a276abd7d81365fb3091e031661bb',1,'tensorwrapper::detail_::TensorInput::const_sparsity_reference()'],['../classtensorwrapper_1_1layout_1_1Logical.html#a5b77efc3d60217888dec97e6db11683e',1,'tensorwrapper::layout::Logical::const_sparsity_reference()'],['../classtensorwrapper_1_1layout_1_1Physical.html#a5b77efc3d60217888dec97e6db11683e',1,'tensorwrapper::layout::Physical::const_sparsity_reference()']]], - ['const_5fsymmetry_5freference_57',['const_symmetry_reference',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a3dd01567774d686d74cf503578af0dbd',1,'tensorwrapper::layout::LayoutBase::const_symmetry_reference()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#a37b18284f408e75e37c5baaee6b86a8f',1,'tensorwrapper::detail_::TensorInput::const_symmetry_reference()'],['../classtensorwrapper_1_1layout_1_1Logical.html#a3dd01567774d686d74cf503578af0dbd',1,'tensorwrapper::layout::Logical::const_symmetry_reference()'],['../classtensorwrapper_1_1layout_1_1Physical.html#a3dd01567774d686d74cf503578af0dbd',1,'tensorwrapper::layout::Physical::const_symmetry_reference()']]], - ['construct_58',['construct',['../classtensorwrapper_1_1allocator_1_1Eigen.html#aac77e32ba29f706c047f2d98d8a6cd99',1,'tensorwrapper::allocator::Eigen::construct()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a8e58f1c0fa1724fb07ae084f141a441f',1,'tensorwrapper::detail_::TensorFactory::construct(input_type input)'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#aa26a25de4fc66cc34f91f1851d2d7e66',1,'tensorwrapper::detail_::TensorFactory::construct(scalar_il_type il)']]], - ['count_59',['count',['../classtensorwrapper_1_1symmetry_1_1Group.html#aeb2f06717b4d2fc010396434288a5bf1',1,'tensorwrapper::symmetry::Group']]], - ['cycle_5finitializer_5flist_60',['cycle_initializer_list',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#ac2ff36ee8fa1503dd5b8f78e7e560b62',1,'tensorwrapper::symmetry::Permutation']]], - ['cycle_5fset_5finitializer_5flist_61',['cycle_set_initializer_list',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a07204707171f12e9f40bab6537382cd7',1,'tensorwrapper::symmetry::Permutation']]], - ['cycle_5ftype_62',['cycle_type',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a76e68d757e4ac71f37bccd72f1ce64c3',1,'tensorwrapper::symmetry::Permutation']]] + ['const_5fobject_5freference_50',['const_object_reference',['../classtensorwrapper_1_1dsl_1_1Labeled.html#a2787c22b108f45a90146e59c7b1fc31d',1,'tensorwrapper::dsl::Labeled']]], + ['const_5fphysical_5freference_51',['const_physical_reference',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a2939acd15d8580ae2d0d5b3dc73c2b40',1,'tensorwrapper::detail_::TensorInput']]], + ['const_5freference_52',['const_reference',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#ac450f900ed5b1686a5b48e3bb03d564c',1,'tensorwrapper::dsl::DummyIndices::const_reference()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#aefd312766bfafcb1c13b03c6370e5666',1,'tensorwrapper::symmetry::Group::const_reference()']]], + ['const_5fruntime_5fview_5freference_53',['const_runtime_view_reference',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a21bd3e0eb647e7f815ac22935195aad2',1,'tensorwrapper::allocator::AllocatorBase']]], + ['const_5fshape_5freference_54',['const_shape_reference',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#ae83b92c51b81330c984fe5381dbf6602',1,'tensorwrapper::layout::LayoutBase::const_shape_reference()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#af60941db8321bbbe81ab6e6164f91335',1,'tensorwrapper::detail_::TensorInput::const_shape_reference()'],['../classtensorwrapper_1_1layout_1_1Logical.html#ae83b92c51b81330c984fe5381dbf6602',1,'tensorwrapper::layout::Logical::const_shape_reference()'],['../classtensorwrapper_1_1layout_1_1Physical.html#ae83b92c51b81330c984fe5381dbf6602',1,'tensorwrapper::layout::Physical::const_shape_reference()']]], + ['const_5fsmooth_5freference_55',['const_smooth_reference',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a36d6f6490ad9a01b06e4dfbff6f423dc',1,'tensorwrapper::shape::ShapeBase']]], + ['const_5fsmooth_5fview_5fpimpl_5fpointer_56',['const_smooth_view_pimpl_pointer',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#a6cb862859ac1393933cf7da11cbab135',1,'tensorwrapper::shape::detail_::SmoothAlias::const_smooth_view_pimpl_pointer()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a6cb862859ac1393933cf7da11cbab135',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::const_smooth_view_pimpl_pointer()']]], + ['const_5fsparsity_5freference_57',['const_sparsity_reference',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a5b77efc3d60217888dec97e6db11683e',1,'tensorwrapper::layout::LayoutBase::const_sparsity_reference()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#afd4a276abd7d81365fb3091e031661bb',1,'tensorwrapper::detail_::TensorInput::const_sparsity_reference()'],['../classtensorwrapper_1_1layout_1_1Logical.html#a5b77efc3d60217888dec97e6db11683e',1,'tensorwrapper::layout::Logical::const_sparsity_reference()'],['../classtensorwrapper_1_1layout_1_1Physical.html#a5b77efc3d60217888dec97e6db11683e',1,'tensorwrapper::layout::Physical::const_sparsity_reference()']]], + ['const_5fsymmetry_5freference_58',['const_symmetry_reference',['../classtensorwrapper_1_1layout_1_1Physical.html#a3dd01567774d686d74cf503578af0dbd',1,'tensorwrapper::layout::Physical::const_symmetry_reference()'],['../classtensorwrapper_1_1layout_1_1Logical.html#a3dd01567774d686d74cf503578af0dbd',1,'tensorwrapper::layout::Logical::const_symmetry_reference()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#a37b18284f408e75e37c5baaee6b86a8f',1,'tensorwrapper::detail_::TensorInput::const_symmetry_reference()'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a3dd01567774d686d74cf503578af0dbd',1,'tensorwrapper::layout::LayoutBase::const_symmetry_reference()']]], + ['construct_59',['construct',['../classtensorwrapper_1_1allocator_1_1Eigen.html#aac77e32ba29f706c047f2d98d8a6cd99',1,'tensorwrapper::allocator::Eigen::construct()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a8e58f1c0fa1724fb07ae084f141a441f',1,'tensorwrapper::detail_::TensorFactory::construct(input_type input)'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#aa26a25de4fc66cc34f91f1851d2d7e66',1,'tensorwrapper::detail_::TensorFactory::construct(scalar_il_type il)']]], + ['count_60',['count',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#aeefe6f2d8639c3132c73f60922ec02f2',1,'tensorwrapper::dsl::DummyIndices::count()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#aeb2f06717b4d2fc010396434288a5bf1',1,'tensorwrapper::symmetry::Group::count()']]], + ['cycle_5finitializer_5flist_61',['cycle_initializer_list',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#ac2ff36ee8fa1503dd5b8f78e7e560b62',1,'tensorwrapper::symmetry::Permutation']]], + ['cycle_5fset_5finitializer_5flist_62',['cycle_set_initializer_list',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a07204707171f12e9f40bab6537382cd7',1,'tensorwrapper::symmetry::Permutation']]], + ['cycle_5ftype_63',['cycle_type',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a76e68d757e4ac71f37bccd72f1ce64c3',1,'tensorwrapper::symmetry::Permutation']]] ]; diff --git a/tensorwrapper_cxx_api/search/all_3.js b/tensorwrapper_cxx_api/search/all_3.js index 3df10992..0791a0c5 100644 --- a/tensorwrapper_cxx_api/search/all_3.js +++ b/tensorwrapper_cxx_api/search/all_3.js @@ -1,13 +1,25 @@ var searchData= [ - ['data_5freference_63',['data_reference',['../classtensorwrapper_1_1buffer_1_1Eigen.html#a7c0fdbe4ce81e75b7acd67b0e01c2be3',1,'tensorwrapper::buffer::Eigen']]], - ['data_5ftype_64',['data_type',['../classtensorwrapper_1_1buffer_1_1Eigen.html#adbf03f5fd17f582b993416a06376d77a',1,'tensorwrapper::buffer::Eigen']]], - ['default_5fallocator_65',['default_allocator',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#af3bb8e1248e3589e9350a6065f1e83fc',1,'tensorwrapper::detail_::TensorFactory']]], - ['default_5flogical_5flayout_66',['default_logical_layout',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#aaad0148b7084815512bce51ebf89dd91',1,'tensorwrapper::detail_::TensorFactory']]], - ['default_5flogical_5fsparsity_67',['default_logical_sparsity',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a6dea343bc661b15fe959531467dbd271',1,'tensorwrapper::detail_::TensorFactory']]], - ['default_5flogical_5fsymmetry_68',['default_logical_symmetry',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#aa44adf47c336864ae3bc56c05db76c5a',1,'tensorwrapper::detail_::TensorFactory']]], - ['default_5fphysical_5flayout_69',['default_physical_layout',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#ad1807b1096cd36c042bbf5e91c1eba79',1,'tensorwrapper::detail_::TensorFactory']]], - ['dispatch_70',['dispatch',['../classtensorwrapper_1_1dsl_1_1PairwiseParser.html#a7fea83488e4e1e9be374d55b1662d277',1,'tensorwrapper::dsl::PairwiseParser::dispatch(labeled_type lhs, labeled_type rhs)'],['../classtensorwrapper_1_1dsl_1_1PairwiseParser.html#a443ade8b8ec40b95a743e40098e160a0',1,'tensorwrapper::dsl::PairwiseParser::dispatch(labeled_type lhs, const utilities::dsl::Add< T, U > &rhs)']]], - ['dummyindices_71',['DummyIndices',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a9fe08c3dd63065b6be315c618244d1d9',1,'tensorwrapper::dsl::DummyIndices::DummyIndices()=default'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a1e50697d1d7ac2b59e9383494eaff3c3',1,'tensorwrapper::dsl::DummyIndices::DummyIndices(const_reference dummy_indices)'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#ad88bf821540a38c854b0bf6c901c8903',1,'tensorwrapper::dsl::DummyIndices::DummyIndices(split_string_type split_dummy_indices)'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html',1,'tensorwrapper::dsl::DummyIndices< StringType >']]], - ['dynamic_5fpointer_5fcast_72',['dynamic_pointer_cast',['../namespacetensorwrapper_1_1detail__.html#a410419e18d9fa2a49ad7c7ed4509b317',1,'tensorwrapper::detail_']]] + ['data_5freference_64',['data_reference',['../classtensorwrapper_1_1buffer_1_1Eigen.html#a7c0fdbe4ce81e75b7acd67b0e01c2be3',1,'tensorwrapper::buffer::Eigen']]], + ['data_5ftype_65',['data_type',['../classtensorwrapper_1_1buffer_1_1Eigen.html#adbf03f5fd17f582b993416a06376d77a',1,'tensorwrapper::buffer::Eigen']]], + ['default_5fallocator_66',['default_allocator',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#af3bb8e1248e3589e9350a6065f1e83fc',1,'tensorwrapper::detail_::TensorFactory']]], + ['default_5flogical_5flayout_67',['default_logical_layout',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#aaad0148b7084815512bce51ebf89dd91',1,'tensorwrapper::detail_::TensorFactory']]], + ['default_5flogical_5fsparsity_68',['default_logical_sparsity',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a6dea343bc661b15fe959531467dbd271',1,'tensorwrapper::detail_::TensorFactory']]], + ['default_5flogical_5fsymmetry_69',['default_logical_symmetry',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#aa44adf47c336864ae3bc56c05db76c5a',1,'tensorwrapper::detail_::TensorFactory']]], + ['default_5fphysical_5flayout_70',['default_physical_layout',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#ad1807b1096cd36c042bbf5e91c1eba79',1,'tensorwrapper::detail_::TensorFactory']]], + ['dispatch_71',['dispatch',['../classtensorwrapper_1_1dsl_1_1PairwiseParser.html#aca1b07872c3e754c1e83f68262a20ee3',1,'tensorwrapper::dsl::PairwiseParser::dispatch(LHSType &&lhs, const utilities::dsl::Multiply< T, U > &rhs)'],['../classtensorwrapper_1_1dsl_1_1PairwiseParser.html#a149a3fed50ed25b5198d9d8be61c6091',1,'tensorwrapper::dsl::PairwiseParser::dispatch(LHSType &&lhs, const utilities::dsl::Subtract< T, U > &rhs)'],['../classtensorwrapper_1_1dsl_1_1PairwiseParser.html#a4a16022c603dee623c1ff10e99afa81b',1,'tensorwrapper::dsl::PairwiseParser::dispatch(LHSType &&lhs, const utilities::dsl::Add< T, U > &rhs)'],['../classtensorwrapper_1_1dsl_1_1PairwiseParser.html#a19ea143a04faeefb864ce2db41e58b1d',1,'tensorwrapper::dsl::PairwiseParser::dispatch(LHSType &&lhs, const RHSType &rhs)']]], + ['dsl_5fbase_2eipp_72',['dsl_base.ipp',['../dsl__base_8ipp.html',1,'']]], + ['dsl_5fbase_5ftype_73',['dsl_base_type',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a9d807282567a60c0c72b845955ef0632',1,'tensorwrapper::shape::ShapeBase']]], + ['dsl_5fconst_5freference_74',['dsl_const_reference',['../classtensorwrapper_1_1detail___1_1DSLBase.html#af4a723bc12e6e338836c14bb47ea2555',1,'tensorwrapper::detail_::DSLBase']]], + ['dsl_5fconst_5fvalue_5ftype_75',['dsl_const_value_type',['../classtensorwrapper_1_1detail___1_1DSLBase.html#affe3c128cd26826333aa494b96a7281b',1,'tensorwrapper::detail_::DSLBase']]], + ['dsl_5fpointer_76',['dsl_pointer',['../classtensorwrapper_1_1detail___1_1DSLBase.html#a09fb09448b438208f57cf081abeb6e6a',1,'tensorwrapper::detail_::DSLBase']]], + ['dsl_5freference_77',['dsl_reference',['../classtensorwrapper_1_1detail___1_1DSLBase.html#abdad86554aa99fe9b5111737f6bd8571',1,'tensorwrapper::detail_::DSLBase']]], + ['dsl_5fvalue_5ftype_78',['dsl_value_type',['../classtensorwrapper_1_1detail___1_1DSLBase.html#ae4cf93785043718e77bb36638cd7a8b9',1,'tensorwrapper::detail_::DSLBase']]], + ['dslbase_79',['DSLBase',['../classtensorwrapper_1_1detail___1_1DSLBase.html',1,'tensorwrapper::detail_']]], + ['dslbase_3c_20group_20_3e_80',['DSLBase< Group >',['../classtensorwrapper_1_1detail___1_1DSLBase.html',1,'tensorwrapper::detail_']]], + ['dslbase_3c_20pattern_20_3e_81',['DSLBase< Pattern >',['../classtensorwrapper_1_1detail___1_1DSLBase.html',1,'tensorwrapper::detail_']]], + ['dslbase_3c_20shapebase_20_3e_82',['DSLBase< ShapeBase >',['../classtensorwrapper_1_1detail___1_1DSLBase.html',1,'tensorwrapper::detail_']]], + ['dummyindices_83',['DummyIndices',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a9fe08c3dd63065b6be315c618244d1d9',1,'tensorwrapper::dsl::DummyIndices::DummyIndices()=default'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a1e50697d1d7ac2b59e9383494eaff3c3',1,'tensorwrapper::dsl::DummyIndices::DummyIndices(const_reference dummy_indices)'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#ad88bf821540a38c854b0bf6c901c8903',1,'tensorwrapper::dsl::DummyIndices::DummyIndices(split_string_type split_dummy_indices)'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html',1,'tensorwrapper::dsl::DummyIndices< StringType >']]], + ['dummyindices_3c_20string_5ftype_20_3e_84',['DummyIndices< string_type >',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html',1,'tensorwrapper::dsl']]], + ['dynamic_5fpointer_5fcast_85',['dynamic_pointer_cast',['../namespacetensorwrapper_1_1detail__.html#a410419e18d9fa2a49ad7c7ed4509b317',1,'tensorwrapper::detail_']]] ]; diff --git a/tensorwrapper_cxx_api/search/all_4.js b/tensorwrapper_cxx_api/search/all_4.js index 94f33878..27456cce 100644 --- a/tensorwrapper_cxx_api/search/all_4.js +++ b/tensorwrapper_cxx_api/search/all_4.js @@ -1,12 +1,12 @@ var searchData= [ - ['eigen_73',['Eigen',['../classtensorwrapper_1_1allocator_1_1Eigen.html#af36cf3612d242d81074bf2aab1a000cd',1,'tensorwrapper::allocator::Eigen::Eigen()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#ab011a6123662907cf641e69993cf9903',1,'tensorwrapper::buffer::Eigen::Eigen() noexcept=default'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#ac0a2101cb2ff8cec4f9d55e0cda6bb4e',1,'tensorwrapper::buffer::Eigen::Eigen(DataType &&t, const_layout_reference layout)'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#afd77ce1bdc0bc8378641be442122f0e9',1,'tensorwrapper::buffer::Eigen::Eigen(const Eigen &other)=default'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#a6a7bb19a18b5b949f84fd4aa53995959',1,'tensorwrapper::buffer::Eigen::Eigen(Eigen &&other)=default'],['../classtensorwrapper_1_1allocator_1_1Eigen.html',1,'tensorwrapper::allocator::Eigen< FloatType, Rank >'],['../classtensorwrapper_1_1buffer_1_1Eigen.html',1,'tensorwrapper::buffer::Eigen< FloatType, Rank >']]], - ['eigen_5fbuffer_5fpointer_74',['eigen_buffer_pointer',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a522507ff86a9fe1ee2f81e424e80d2f5',1,'tensorwrapper::allocator::Eigen']]], - ['eigen_5fbuffer_5freference_75',['eigen_buffer_reference',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a32824b8dd51b17d90207d35f14667e84',1,'tensorwrapper::allocator::Eigen']]], - ['eigen_5fbuffer_5ftype_76',['eigen_buffer_type',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a3fa851a66ea31132f9758d7bbc48780b',1,'tensorwrapper::allocator::Eigen']]], - ['eigen_5flayout_5fpointer_77',['eigen_layout_pointer',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a3e6801c1e93d88e0b1522284f65d4098',1,'tensorwrapper::allocator::Eigen']]], - ['eigen_5flayout_5ftype_78',['eigen_layout_type',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a237c29fad7e42b310429d190ed9c7405',1,'tensorwrapper::allocator::Eigen']]], - ['enable_5fif_5fmutable_5fto_5fimmutable_5fcast_5ft_79',['enable_if_mutable_to_immutable_cast_t',['../namespacetensorwrapper_1_1detail__.html#aa6e3229f29de6317f20081b187503a29',1,'tensorwrapper::detail_']]], - ['extent_80',['extent',['../classtensorwrapper_1_1shape_1_1Smooth.html#acfd3c766b86aff5ba8bdc0aecfcf2514',1,'tensorwrapper::shape::Smooth::extent()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a92e3465e55b472e01b3baa110e5cb2d1',1,'tensorwrapper::shape::SmoothView::extent()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a278cf66ff7a1121db5b5734d0e0397d7',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::extent()']]], - ['extent_5f_81',['extent_',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#aa1a5f99a1db697084af7a7d65665a827',1,'tensorwrapper::shape::detail_::SmoothAlias::extent_()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a249def1e8c78d40bb39c88427073b125',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::extent_()']]] + ['eigen_86',['Eigen',['../classtensorwrapper_1_1allocator_1_1Eigen.html#af36cf3612d242d81074bf2aab1a000cd',1,'tensorwrapper::allocator::Eigen::Eigen()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#ab011a6123662907cf641e69993cf9903',1,'tensorwrapper::buffer::Eigen::Eigen() noexcept=default'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#ac0a2101cb2ff8cec4f9d55e0cda6bb4e',1,'tensorwrapper::buffer::Eigen::Eigen(DataType &&t, const_layout_reference layout)'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#afd77ce1bdc0bc8378641be442122f0e9',1,'tensorwrapper::buffer::Eigen::Eigen(const Eigen &other)=default'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#a6a7bb19a18b5b949f84fd4aa53995959',1,'tensorwrapper::buffer::Eigen::Eigen(Eigen &&other)=default'],['../classtensorwrapper_1_1allocator_1_1Eigen.html',1,'tensorwrapper::allocator::Eigen< FloatType, Rank >'],['../classtensorwrapper_1_1buffer_1_1Eigen.html',1,'tensorwrapper::buffer::Eigen< FloatType, Rank >']]], + ['eigen_5fbuffer_5fpointer_87',['eigen_buffer_pointer',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a522507ff86a9fe1ee2f81e424e80d2f5',1,'tensorwrapper::allocator::Eigen']]], + ['eigen_5fbuffer_5freference_88',['eigen_buffer_reference',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a32824b8dd51b17d90207d35f14667e84',1,'tensorwrapper::allocator::Eigen']]], + ['eigen_5fbuffer_5ftype_89',['eigen_buffer_type',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a3fa851a66ea31132f9758d7bbc48780b',1,'tensorwrapper::allocator::Eigen']]], + ['eigen_5flayout_5fpointer_90',['eigen_layout_pointer',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a3e6801c1e93d88e0b1522284f65d4098',1,'tensorwrapper::allocator::Eigen']]], + ['eigen_5flayout_5ftype_91',['eigen_layout_type',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a237c29fad7e42b310429d190ed9c7405',1,'tensorwrapper::allocator::Eigen']]], + ['enable_5fif_5fmutable_5fto_5fimmutable_5fcast_5ft_92',['enable_if_mutable_to_immutable_cast_t',['../namespacetensorwrapper_1_1detail__.html#aa6e3229f29de6317f20081b187503a29',1,'tensorwrapper::detail_']]], + ['extent_93',['extent',['../classtensorwrapper_1_1shape_1_1Smooth.html#acfd3c766b86aff5ba8bdc0aecfcf2514',1,'tensorwrapper::shape::Smooth::extent()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a92e3465e55b472e01b3baa110e5cb2d1',1,'tensorwrapper::shape::SmoothView::extent()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a278cf66ff7a1121db5b5734d0e0397d7',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::extent()']]], + ['extent_5f_94',['extent_',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#aa1a5f99a1db697084af7a7d65665a827',1,'tensorwrapper::shape::detail_::SmoothAlias::extent_()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a249def1e8c78d40bb39c88427073b125',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::extent_()']]] ]; diff --git a/tensorwrapper_cxx_api/search/all_5.js b/tensorwrapper_cxx_api/search/all_5.js index 36086e21..4e2cabb5 100644 --- a/tensorwrapper_cxx_api/search/all_5.js +++ b/tensorwrapper_cxx_api/search/all_5.js @@ -1,4 +1,4 @@ var searchData= [ - ['find_82',['find',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#aa2d4b14865bd4f880b261777ea5dd7fd',1,'tensorwrapper::dsl::DummyIndices']]] + ['find_95',['find',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#aa2d4b14865bd4f880b261777ea5dd7fd',1,'tensorwrapper::dsl::DummyIndices']]] ]; diff --git a/tensorwrapper_cxx_api/search/all_6.js b/tensorwrapper_cxx_api/search/all_6.js index 42302a4c..5f1f05c3 100644 --- a/tensorwrapper_cxx_api/search/all_6.js +++ b/tensorwrapper_cxx_api/search/all_6.js @@ -1,6 +1,6 @@ var searchData= [ - ['get_5frank_5f_83',['get_rank_',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a76e6dddc1c8ce3384d4b56388d505198',1,'tensorwrapper::shape::ShapeBase::get_rank_()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a0eac7920cdc4fb2cb058ed49cad765b2',1,'tensorwrapper::shape::Smooth::get_rank_()']]], - ['get_5fsize_5f_84',['get_size_',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a58aa9830483dedc9687a9ea4d4629c29',1,'tensorwrapper::shape::ShapeBase::get_size_()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#ae61342f4e0f5a8ca8de2620e7c93d729',1,'tensorwrapper::shape::Smooth::get_size_()']]], - ['group_85',['Group',['../classtensorwrapper_1_1symmetry_1_1Group.html#a9772892af5854c8dec0cd4cf91e1a1ac',1,'tensorwrapper::symmetry::Group::Group() noexcept=default'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a92f57b07bc9cfb657f6f86085b2702e4',1,'tensorwrapper::symmetry::Group::Group(const_reference op, Args &&... ops)'],['../classtensorwrapper_1_1symmetry_1_1Group.html#ac7b7678e1d56c391cdd5003c0ff60b08',1,'tensorwrapper::symmetry::Group::Group(const Group &other)'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a60bb9145ef569737843da644dc17500d',1,'tensorwrapper::symmetry::Group::Group(Group &&other) noexcept=default'],['../classtensorwrapper_1_1symmetry_1_1Group.html',1,'tensorwrapper::symmetry::Group']]] + ['get_5frank_5f_96',['get_rank_',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a76e6dddc1c8ce3384d4b56388d505198',1,'tensorwrapper::shape::ShapeBase::get_rank_()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a0eac7920cdc4fb2cb058ed49cad765b2',1,'tensorwrapper::shape::Smooth::get_rank_()']]], + ['get_5fsize_5f_97',['get_size_',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a58aa9830483dedc9687a9ea4d4629c29',1,'tensorwrapper::shape::ShapeBase::get_size_()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#ae61342f4e0f5a8ca8de2620e7c93d729',1,'tensorwrapper::shape::Smooth::get_size_()']]], + ['group_98',['Group',['../classtensorwrapper_1_1symmetry_1_1Group.html#a9772892af5854c8dec0cd4cf91e1a1ac',1,'tensorwrapper::symmetry::Group::Group() noexcept=default'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a84c6740ceb0506c95586cd2eabc09b08',1,'tensorwrapper::symmetry::Group::Group(mode_index_type rank) noexcept'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a92f57b07bc9cfb657f6f86085b2702e4',1,'tensorwrapper::symmetry::Group::Group(const_reference op, Args &&... ops)'],['../classtensorwrapper_1_1symmetry_1_1Group.html#ac7b7678e1d56c391cdd5003c0ff60b08',1,'tensorwrapper::symmetry::Group::Group(const Group &other)'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a60bb9145ef569737843da644dc17500d',1,'tensorwrapper::symmetry::Group::Group(Group &&other) noexcept=default'],['../classtensorwrapper_1_1symmetry_1_1Group.html',1,'tensorwrapper::symmetry::Group']]] ]; diff --git a/tensorwrapper_cxx_api/search/all_7.js b/tensorwrapper_cxx_api/search/all_7.js index a625e56a..d012d9bd 100644 --- a/tensorwrapper_cxx_api/search/all_7.js +++ b/tensorwrapper_cxx_api/search/all_7.js @@ -1,6 +1,7 @@ var searchData= [ - ['has_5flayout_86',['has_layout',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a6623e82c5f3bef4b2fce767a55f55d40',1,'tensorwrapper::buffer::BufferBase']]], - ['has_5frepeated_5findices_87',['has_repeated_indices',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a1967c3a0f0ecb5a34fe3ea913d40d09a',1,'tensorwrapper::dsl::DummyIndices']]], - ['has_5fshape_88',['has_shape',['../structtensorwrapper_1_1detail___1_1TensorInput.html#acb1423af1f7c39ce8f21305a60a271eb',1,'tensorwrapper::detail_::TensorInput']]] + ['has_5flayout_99',['has_layout',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a6623e82c5f3bef4b2fce767a55f55d40',1,'tensorwrapper::buffer::BufferBase']]], + ['has_5fobject_100',['has_object',['../classtensorwrapper_1_1dsl_1_1Labeled.html#a26ad5b68f450e36de28adb8836e329a3',1,'tensorwrapper::dsl::Labeled']]], + ['has_5frepeated_5findices_101',['has_repeated_indices',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a1967c3a0f0ecb5a34fe3ea913d40d09a',1,'tensorwrapper::dsl::DummyIndices']]], + ['has_5fshape_102',['has_shape',['../structtensorwrapper_1_1detail___1_1TensorInput.html#acb1423af1f7c39ce8f21305a60a271eb',1,'tensorwrapper::detail_::TensorInput']]] ]; diff --git a/tensorwrapper_cxx_api/search/all_8.js b/tensorwrapper_cxx_api/search/all_8.js index b01a7100..ef92648f 100644 --- a/tensorwrapper_cxx_api/search/all_8.js +++ b/tensorwrapper_cxx_api/search/all_8.js @@ -1,8 +1,10 @@ var searchData= [ - ['input_5ftype_89',['input_type',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#ab3e36a2a29d025e2dd56507cb4bc528d',1,'tensorwrapper::detail_::TensorFactory']]], - ['is_5fidentity_5f_90',['is_identity_',['../classtensorwrapper_1_1symmetry_1_1Operation.html#a20bb4513fbd3bae3535fe3283b20e82f',1,'tensorwrapper::symmetry::Operation::is_identity_()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#ac1cece2942c27d0409c2dba908b093a3',1,'tensorwrapper::symmetry::Permutation::is_identity_()']]], - ['is_5fmutable_5fto_5fimmutable_5fcast_5fv_91',['is_mutable_to_immutable_cast_v',['../namespacetensorwrapper_1_1detail__.html#a6a23574a75f8ab1de5e8f854c7263e03',1,'tensorwrapper::detail_']]], - ['istuple_92',['IsTuple',['../structtensorwrapper_1_1detail___1_1IsTuple.html',1,'tensorwrapper::detail_']]], - ['istuple_3c_20std_3a_3atuple_3c_20args_2e_2e_2e_20_3e_20_3e_93',['IsTuple< std::tuple< Args... > >',['../structtensorwrapper_1_1detail___1_1IsTuple_3_01std_1_1tuple_3_01Args_8_8_8_01_4_01_4.html',1,'tensorwrapper::detail_']]] + ['input_5ftype_103',['input_type',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#ab3e36a2a29d025e2dd56507cb4bc528d',1,'tensorwrapper::detail_::TensorFactory']]], + ['intersection_104',['intersection',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a4c518ef880ad96a7745d3b78cd1c6b99',1,'tensorwrapper::dsl::DummyIndices']]], + ['is_5fidentity_5f_105',['is_identity_',['../classtensorwrapper_1_1symmetry_1_1Operation.html#a20bb4513fbd3bae3535fe3283b20e82f',1,'tensorwrapper::symmetry::Operation::is_identity_()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#ac1cece2942c27d0409c2dba908b093a3',1,'tensorwrapper::symmetry::Permutation::is_identity_()']]], + ['is_5fmutable_5fto_5fimmutable_5fcast_5fv_106',['is_mutable_to_immutable_cast_v',['../namespacetensorwrapper_1_1detail__.html#a6a23574a75f8ab1de5e8f854c7263e03',1,'tensorwrapper::detail_']]], + ['is_5fpermutation_107',['is_permutation',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#abb44ea53136f98e0a7825159a78d634e',1,'tensorwrapper::dsl::DummyIndices']]], + ['istuple_108',['IsTuple',['../structtensorwrapper_1_1detail___1_1IsTuple.html',1,'tensorwrapper::detail_']]], + ['istuple_3c_20std_3a_3atuple_3c_20args_2e_2e_2e_20_3e_20_3e_109',['IsTuple< std::tuple< Args... > >',['../structtensorwrapper_1_1detail___1_1IsTuple_3_01std_1_1tuple_3_01Args_8_8_8_01_4_01_4.html',1,'tensorwrapper::detail_']]] ]; diff --git a/tensorwrapper_cxx_api/search/all_9.js b/tensorwrapper_cxx_api/search/all_9.js index 0a485392..2a37b846 100644 --- a/tensorwrapper_cxx_api/search/all_9.js +++ b/tensorwrapper_cxx_api/search/all_9.js @@ -1,20 +1,20 @@ var searchData= [ - ['label_5ftype_94',['label_type',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a31a6428233981936aea35e7eebad7564',1,'tensorwrapper::buffer::BufferBase::label_type()'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#a93ff1763b1b516d804f47a5d0576c679',1,'tensorwrapper::dsl::Labeled::label_type()'],['../classtensorwrapper_1_1Tensor.html#a4a7a298794744a9b9f9228935e63b407',1,'tensorwrapper::Tensor::label_type()']]], - ['labeled_95',['Labeled',['../classtensorwrapper_1_1dsl_1_1Labeled.html#ac3e497da6c7737c71c2f355a6d61f8d7',1,'tensorwrapper::dsl::Labeled::Labeled()=default'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#a45757e1ba3154e0da765da7952682692',1,'tensorwrapper::dsl::Labeled::Labeled(ObjectType2 &&object, LabelType2 &&labels)'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#a0b5e2895a45ce40ad2346c0e3933d602',1,'tensorwrapper::dsl::Labeled::Labeled(const Labeled< ObjectType2, LabelType > &input)'],['../classtensorwrapper_1_1dsl_1_1Labeled.html',1,'tensorwrapper::dsl::Labeled< ObjectType, LabelType >']]], - ['labeled_5fbuffer_5ftype_96',['labeled_buffer_type',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#aff5d617f4b67d01bad1b5bd1e4ce76e1',1,'tensorwrapper::buffer::BufferBase']]], - ['labeled_5fconst_5fbuffer_5ftype_97',['labeled_const_buffer_type',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#af8e546d95e0a1b21bcb0bb64686ff128',1,'tensorwrapper::buffer::BufferBase']]], - ['labeled_5ftensor_5ftype_98',['labeled_tensor_type',['../classtensorwrapper_1_1Tensor.html#a405c993d7b00c0fe1e2d13ba950016be',1,'tensorwrapper::Tensor']]], - ['labeled_5ftype_99',['labeled_type',['../classtensorwrapper_1_1dsl_1_1PairwiseParser.html#ab19f4fa0b3cb25336110380d70e74d1a',1,'tensorwrapper::dsl::PairwiseParser']]], - ['layout_100',['layout',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a5214ae9b235a602c19864639ffef1c6b',1,'tensorwrapper::buffer::BufferBase']]], - ['layout_5fbase_101',['layout_base',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a3f30dbbd6f9155d24b1a899f9c78fe58',1,'tensorwrapper::layout::LayoutBase::layout_base()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#a68478b13631e57cdd6c04a73aca4c5bf',1,'tensorwrapper::detail_::TensorInput::layout_base()']]], - ['layout_5fpointer_102',['layout_pointer',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#affd352a5c60cd78b9590c3a2dfdbc131',1,'tensorwrapper::allocator::AllocatorBase::layout_pointer()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a49e4cb715ac9f716b339b1568a7a65f5',1,'tensorwrapper::buffer::BufferBase::layout_pointer()'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a8416d1e6c81c2dfba79ced2c640bd450',1,'tensorwrapper::layout::LayoutBase::layout_pointer()'],['../classtensorwrapper_1_1layout_1_1Logical.html#a8416d1e6c81c2dfba79ced2c640bd450',1,'tensorwrapper::layout::Logical::layout_pointer()'],['../classtensorwrapper_1_1layout_1_1Physical.html#a8416d1e6c81c2dfba79ced2c640bd450',1,'tensorwrapper::layout::Physical::layout_pointer()']]], - ['layout_5freference_103',['layout_reference',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a3256c9929ac09b113be09b10ec8ba873',1,'tensorwrapper::layout::LayoutBase']]], - ['layout_5ftype_104',['layout_type',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a3acfeac694f75a1c5da3fe96517c65a9',1,'tensorwrapper::buffer::BufferBase::layout_type()'],['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a1778ffc6f6ec1bfa301f2f2da45db440',1,'tensorwrapper::allocator::AllocatorBase::layout_type()']]], - ['layoutbase_105',['LayoutBase',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#af69aea19656f0ef643c821319cce6454',1,'tensorwrapper::layout::LayoutBase::LayoutBase(const_shape_reference shape)'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a951887239217eb4acb6a8a0ae13886b2',1,'tensorwrapper::layout::LayoutBase::LayoutBase(shape_pointer shape, symmetry_pointer symmetry, sparsity_pointer sparsity)'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a967d148a759462a2d1576c8cf3a355ab',1,'tensorwrapper::layout::LayoutBase::LayoutBase(const_shape_reference shape, const_symmetry_reference symmetry, const_sparsity_reference sparsity)'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#aab325027815409f328c55fda759b2642',1,'tensorwrapper::layout::LayoutBase::LayoutBase(const LayoutBase &other)'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a65a0cdba6c0e69d2a72f3859c4a2e30a',1,'tensorwrapper::layout::LayoutBase::LayoutBase(shape_pointer shape)'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html',1,'tensorwrapper::layout::LayoutBase']]], - ['local_106',['Local',['../classtensorwrapper_1_1allocator_1_1Local.html',1,'tensorwrapper::allocator::Local'],['../classtensorwrapper_1_1buffer_1_1Local.html',1,'tensorwrapper::buffer::Local']]], - ['logical_107',['Logical',['../classtensorwrapper_1_1layout_1_1Logical.html',1,'tensorwrapper::layout']]], - ['logical_5flayout_108',['logical_layout',['../classtensorwrapper_1_1Tensor.html#aa93eb1f54cba7139b2b22b66f7c60459',1,'tensorwrapper::Tensor::logical_layout()'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#a083ae061ece5e4439294cfeadf1568b5',1,'tensorwrapper::detail_::TensorPIMPL::logical_layout()'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#a6847cef28ab23fdd781a5f98868d8bd7',1,'tensorwrapper::detail_::TensorPIMPL::logical_layout() const']]], - ['logical_5flayout_5fpointer_109',['logical_layout_pointer',['../structtensorwrapper_1_1detail___1_1TensorInput.html#aa7081ea44dacf0d8b5d59acc668bf82f',1,'tensorwrapper::detail_::TensorInput::logical_layout_pointer()'],['../classtensorwrapper_1_1Tensor.html#a40d43088dce5da7fcaf93e981b273f1a',1,'tensorwrapper::Tensor::logical_layout_pointer()']]], - ['logical_5flayout_5ftype_110',['logical_layout_type',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a811127e0e61e256475682ab5a35ca7e1',1,'tensorwrapper::detail_::TensorInput::logical_layout_type()'],['../classtensorwrapper_1_1Tensor.html#a2e1eae787afa93e13c30631326573432',1,'tensorwrapper::Tensor::logical_layout_type()']]] + ['label_5freference_110',['label_reference',['../classtensorwrapper_1_1dsl_1_1Labeled.html#a09f8f18b9b2c5ec4c149b3c6b7860627',1,'tensorwrapper::dsl::Labeled']]], + ['label_5ftype_111',['label_type',['../classtensorwrapper_1_1detail___1_1DSLBase.html#aa0ae4d4cac26930cf8338c1a24b004c4',1,'tensorwrapper::detail_::DSLBase::label_type()'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#a24a571ab75613584b5c4ccc1fc3a92fa',1,'tensorwrapper::dsl::Labeled::label_type()']]], + ['labeled_112',['Labeled',['../classtensorwrapper_1_1dsl_1_1Labeled.html#a205e7e56f41976651ba8b60a33fa4ca5',1,'tensorwrapper::dsl::Labeled::Labeled(ObjectType2 &&object, LabelType &&labels)'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#ab59556226536246570739dd024801270',1,'tensorwrapper::dsl::Labeled::Labeled(const Labeled< ObjectType2, StringType > &input)'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#aad70962adc3a9ac04e54ab1664f7be13',1,'tensorwrapper::dsl::Labeled::Labeled(const Labeled &other)=default'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#a8725b10682cac824734b800dab8fbf65',1,'tensorwrapper::dsl::Labeled::Labeled(Labeled &&other) noexcept=default'],['../classtensorwrapper_1_1dsl_1_1Labeled.html',1,'tensorwrapper::dsl::Labeled< ObjectType, StringType >']]], + ['labeled_5fconst_5ftype_113',['labeled_const_type',['../classtensorwrapper_1_1detail___1_1DSLBase.html#a5273f3007852fd59832c5c916d812819',1,'tensorwrapper::detail_::DSLBase']]], + ['labeled_5ftype_114',['labeled_type',['../classtensorwrapper_1_1detail___1_1DSLBase.html#a0161d627582c002dbd77d97c076976fb',1,'tensorwrapper::detail_::DSLBase']]], + ['labels_115',['labels',['../classtensorwrapper_1_1dsl_1_1Labeled.html#a2ca70fd68c2c5102b3dced45880ad796',1,'tensorwrapper::dsl::Labeled::labels() noexcept'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#a29ef7af4ac0a8bc33bae443f4bdbf6d1',1,'tensorwrapper::dsl::Labeled::labels() const noexcept']]], + ['layout_116',['layout',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a5214ae9b235a602c19864639ffef1c6b',1,'tensorwrapper::buffer::BufferBase']]], + ['layout_5fbase_117',['layout_base',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a3f30dbbd6f9155d24b1a899f9c78fe58',1,'tensorwrapper::layout::LayoutBase::layout_base()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#a68478b13631e57cdd6c04a73aca4c5bf',1,'tensorwrapper::detail_::TensorInput::layout_base()']]], + ['layout_5fpointer_118',['layout_pointer',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#affd352a5c60cd78b9590c3a2dfdbc131',1,'tensorwrapper::allocator::AllocatorBase::layout_pointer()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a49e4cb715ac9f716b339b1568a7a65f5',1,'tensorwrapper::buffer::BufferBase::layout_pointer()'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a8416d1e6c81c2dfba79ced2c640bd450',1,'tensorwrapper::layout::LayoutBase::layout_pointer()'],['../classtensorwrapper_1_1layout_1_1Logical.html#a8416d1e6c81c2dfba79ced2c640bd450',1,'tensorwrapper::layout::Logical::layout_pointer()'],['../classtensorwrapper_1_1layout_1_1Physical.html#a8416d1e6c81c2dfba79ced2c640bd450',1,'tensorwrapper::layout::Physical::layout_pointer()']]], + ['layout_5freference_119',['layout_reference',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a3256c9929ac09b113be09b10ec8ba873',1,'tensorwrapper::layout::LayoutBase']]], + ['layout_5ftype_120',['layout_type',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a3acfeac694f75a1c5da3fe96517c65a9',1,'tensorwrapper::buffer::BufferBase::layout_type()'],['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a1778ffc6f6ec1bfa301f2f2da45db440',1,'tensorwrapper::allocator::AllocatorBase::layout_type()']]], + ['layoutbase_121',['LayoutBase',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#af69aea19656f0ef643c821319cce6454',1,'tensorwrapper::layout::LayoutBase::LayoutBase(const_shape_reference shape)'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a951887239217eb4acb6a8a0ae13886b2',1,'tensorwrapper::layout::LayoutBase::LayoutBase(shape_pointer shape, symmetry_pointer symmetry, sparsity_pointer sparsity)'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a967d148a759462a2d1576c8cf3a355ab',1,'tensorwrapper::layout::LayoutBase::LayoutBase(const_shape_reference shape, const_symmetry_reference symmetry, const_sparsity_reference sparsity)'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#aab325027815409f328c55fda759b2642',1,'tensorwrapper::layout::LayoutBase::LayoutBase(const LayoutBase &other)'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a65a0cdba6c0e69d2a72f3859c4a2e30a',1,'tensorwrapper::layout::LayoutBase::LayoutBase(shape_pointer shape)'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html',1,'tensorwrapper::layout::LayoutBase']]], + ['local_122',['Local',['../classtensorwrapper_1_1allocator_1_1Local.html',1,'tensorwrapper::allocator::Local'],['../classtensorwrapper_1_1buffer_1_1Local.html',1,'tensorwrapper::buffer::Local']]], + ['logical_123',['Logical',['../classtensorwrapper_1_1layout_1_1Logical.html',1,'tensorwrapper::layout']]], + ['logical_5flayout_124',['logical_layout',['../classtensorwrapper_1_1Tensor.html#aa93eb1f54cba7139b2b22b66f7c60459',1,'tensorwrapper::Tensor::logical_layout()'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#a083ae061ece5e4439294cfeadf1568b5',1,'tensorwrapper::detail_::TensorPIMPL::logical_layout()'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#a6847cef28ab23fdd781a5f98868d8bd7',1,'tensorwrapper::detail_::TensorPIMPL::logical_layout() const']]], + ['logical_5flayout_5fpointer_125',['logical_layout_pointer',['../structtensorwrapper_1_1detail___1_1TensorInput.html#aa7081ea44dacf0d8b5d59acc668bf82f',1,'tensorwrapper::detail_::TensorInput::logical_layout_pointer()'],['../classtensorwrapper_1_1Tensor.html#a40d43088dce5da7fcaf93e981b273f1a',1,'tensorwrapper::Tensor::logical_layout_pointer()']]], + ['logical_5flayout_5ftype_126',['logical_layout_type',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a811127e0e61e256475682ab5a35ca7e1',1,'tensorwrapper::detail_::TensorInput::logical_layout_type()'],['../classtensorwrapper_1_1Tensor.html#a2e1eae787afa93e13c30631326573432',1,'tensorwrapper::Tensor::logical_layout_type()']]] ]; diff --git a/tensorwrapper_cxx_api/search/all_a.js b/tensorwrapper_cxx_api/search/all_a.js index c4a335ce..72c724c4 100644 --- a/tensorwrapper_cxx_api/search/all_a.js +++ b/tensorwrapper_cxx_api/search/all_a.js @@ -1,6 +1,7 @@ var searchData= [ - ['matrix_5fil_5ftype_111',['matrix_il_type',['../classtensorwrapper_1_1Tensor.html#acf0b6193c6ac4a8620bd0e477afc3c58',1,'tensorwrapper::Tensor::matrix_il_type()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a71c5e2b5afa0732aa8053375da487982',1,'tensorwrapper::detail_::TensorFactory::matrix_il_type()']]], - ['minimum_5frank_112',['minimum_rank',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a1c09333cfcecc1c11c49ff278b0707a8',1,'tensorwrapper::symmetry::Permutation']]], - ['mode_5findex_5ftype_113',['mode_index_type',['../classtensorwrapper_1_1symmetry_1_1Operation.html#a18616cc4ebaef5efaa3d284f8f959141',1,'tensorwrapper::symmetry::Operation::mode_index_type()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a18616cc4ebaef5efaa3d284f8f959141',1,'tensorwrapper::symmetry::Permutation::mode_index_type()']]] + ['matrix_5fil_5ftype_127',['matrix_il_type',['../classtensorwrapper_1_1Tensor.html#acf0b6193c6ac4a8620bd0e477afc3c58',1,'tensorwrapper::Tensor::matrix_il_type()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a71c5e2b5afa0732aa8053375da487982',1,'tensorwrapper::detail_::TensorFactory::matrix_il_type()']]], + ['mode_5findex_5ftype_128',['mode_index_type',['../classtensorwrapper_1_1symmetry_1_1Group.html#a317303f883c6582f159a01dad9685477',1,'tensorwrapper::symmetry::Group::mode_index_type()'],['../classtensorwrapper_1_1symmetry_1_1Operation.html#a18616cc4ebaef5efaa3d284f8f959141',1,'tensorwrapper::symmetry::Operation::mode_index_type()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a18616cc4ebaef5efaa3d284f8f959141',1,'tensorwrapper::symmetry::Permutation::mode_index_type()']]], + ['multiplication_5fassignment_129',['multiplication_assignment',['../classtensorwrapper_1_1detail___1_1DSLBase.html#abdd76bb7b627b14a67f64b3df9e907b7',1,'tensorwrapper::detail_::DSLBase']]], + ['multiplication_5fassignment_5f_130',['multiplication_assignment_',['../classtensorwrapper_1_1detail___1_1DSLBase.html#a6b7d84d148e0bb06f2d5511828051b5b',1,'tensorwrapper::detail_::DSLBase::multiplication_assignment_()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a6fa63d0c5b8fe6d90973ab744b6b8093',1,'tensorwrapper::shape::Smooth::multiplication_assignment_()'],['../classtensorwrapper_1_1sparsity_1_1Pattern.html#ae4205f3086fa2c85abf9216b25dcb5f0',1,'tensorwrapper::sparsity::Pattern::multiplication_assignment_()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#aa558f46975d77c12f0f38c7d3e8fc9a9',1,'tensorwrapper::symmetry::Group::multiplication_assignment_()']]] ]; diff --git a/tensorwrapper_cxx_api/search/all_b.js b/tensorwrapper_cxx_api/search/all_b.js index 8e2628f3..e3dc51aa 100644 --- a/tensorwrapper_cxx_api/search/all_b.js +++ b/tensorwrapper_cxx_api/search/all_b.js @@ -1,12 +1,14 @@ var searchData= [ - ['object_5ftype_114',['object_type',['../classtensorwrapper_1_1dsl_1_1Labeled.html#a4c5b9c673ac16c166b9d0585a87971f9',1,'tensorwrapper::dsl::Labeled']]], - ['offset_5fvector_115',['offset_vector',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a6025b21b588ec419842de250959259e3',1,'tensorwrapper::dsl::DummyIndices']]], - ['operation_116',['Operation',['../classtensorwrapper_1_1symmetry_1_1Operation.html',1,'tensorwrapper::symmetry']]], - ['operator_21_3d_117',['operator!=',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#ae61cf9ca827269d9c3fc5cd4cf29ea5d',1,'tensorwrapper::allocator::AllocatorBase::operator!=()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#aada299517a047e17cf036ae8719e6931',1,'tensorwrapper::allocator::Eigen::operator!=()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a489085b5300e738abb341e6277e9c6fa',1,'tensorwrapper::buffer::BufferBase::operator!=()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#a2e16947f53a206be4abac5f2bfeaf3cf',1,'tensorwrapper::buffer::Eigen::operator!=()'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a241920da32354167c943e89a4e7bd475',1,'tensorwrapper::layout::LayoutBase::operator!=()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a2a77ec769b1286d4026a3be0cb2dec73',1,'tensorwrapper::shape::Smooth::operator!=()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#ad30e0c291ef1724aec4af5d57bdbafb2',1,'tensorwrapper::shape::SmoothView::operator!=()'],['../classtensorwrapper_1_1sparsity_1_1Pattern.html#a11dd23cf1150db6098af7ecb4a568df5',1,'tensorwrapper::sparsity::Pattern::operator!=()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a6c935052924a0f12afd9bcca7856b971',1,'tensorwrapper::symmetry::Group::operator!=()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a278addd95557f4e5e6994c1d35d61452',1,'tensorwrapper::symmetry::Permutation::operator!=()'],['../classtensorwrapper_1_1Tensor.html#ab063233acba20c6e07f46fb7222e9be3',1,'tensorwrapper::Tensor::operator!=()']]], - ['operator_28_29_118',['operator()',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a0e3ad02640fd9c68e697109c555bfe72',1,'tensorwrapper::buffer::BufferBase::operator()(label_type labels)'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a6377b52a8aa94a48a39a103622657b13',1,'tensorwrapper::buffer::BufferBase::operator()(label_type labels) const'],['../classtensorwrapper_1_1Tensor.html#aa1c3892974f03518459c6840631411f2',1,'tensorwrapper::Tensor::operator()(const_label_reference labels)'],['../classtensorwrapper_1_1Tensor.html#ac0b0001c600e3540a0fd5d8aada45966',1,'tensorwrapper::Tensor::operator()(const_label_reference labels) const']]], - ['operator_3c_3c_119',['operator<<',['../namespacetensorwrapper_1_1detail__.html#a6a52ed52f9381cb54bd6a1d4f9f3548c',1,'tensorwrapper::detail_']]], - ['operator_3d_120',['operator=',['../classtensorwrapper_1_1buffer_1_1Eigen.html#ab37fe9d7fb8692eeae32e5382d3d5a83',1,'tensorwrapper::buffer::Eigen::operator=()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a00b12aad85b2094f9d34ea6584956a07',1,'tensorwrapper::buffer::BufferBase::operator=()'],['../classtensorwrapper_1_1Tensor.html#aea9cde4c7f75f1ef28728341c580f84c',1,'tensorwrapper::Tensor::operator=(Tensor &&rhs) noexcept'],['../classtensorwrapper_1_1Tensor.html#aef4325a67ec34573a748491c32be7327',1,'tensorwrapper::Tensor::operator=(const Tensor &rhs)'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a0474cb4db720e13dc724b8a111b9f7ba',1,'tensorwrapper::symmetry::Group::operator=()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a15851f3b16dbd07d73e7ce0a3a784864',1,'tensorwrapper::shape::SmoothView::operator=()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#af2853117d5e331ab5b8155b970506bee',1,'tensorwrapper::buffer::Eigen::operator=()'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#aa8f30c294f73ce4e6859afd8845c7983',1,'tensorwrapper::dsl::Labeled::operator=()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a5c62b93f0495f387f3d427c4abc1da7f',1,'tensorwrapper::shape::SmoothView::operator=()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a98d26cf01052eb923d4f342ac16da9c2',1,'tensorwrapper::symmetry::Group::operator=()']]], - ['operator_3d_3d_121',['operator==',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#ac40a821fdb5e566f560a5db3c8cf6b8f',1,'tensorwrapper::allocator::AllocatorBase::operator==()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#ace0e6b1a75f977100baec43b52d8c9bb',1,'tensorwrapper::allocator::Eigen::operator==()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a564962092d430bcc7453d3228bac985d',1,'tensorwrapper::buffer::BufferBase::operator==()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#ad337f343a93fb3005933282918e7bed2',1,'tensorwrapper::buffer::Eigen::operator==()'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#aaf53563c36179c63d04bed88ee3dd106',1,'tensorwrapper::layout::LayoutBase::operator==()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a1c67955bce2b67eaef143a985f601b6c',1,'tensorwrapper::shape::Smooth::operator==()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a9ae9fd29b801d238bd6ef4567511dd17',1,'tensorwrapper::shape::SmoothView::operator==()'],['../classtensorwrapper_1_1sparsity_1_1Pattern.html#a41caa3dab4c9e3d359eaf6f4ec1ff2d5',1,'tensorwrapper::sparsity::Pattern::operator==()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#aeae67a6f8a2abd7828bc31c864052b79',1,'tensorwrapper::symmetry::Group::operator==()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#af759ae4f4de56b8a73adc9d4c8297949',1,'tensorwrapper::symmetry::Permutation::operator==()'],['../classtensorwrapper_1_1Tensor.html#ad163ce8eb5efbc96fba54a8a557d53cc',1,'tensorwrapper::Tensor::operator==()'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#aa697a6068daaec7c5432142cb8da61ef',1,'tensorwrapper::detail_::TensorPIMPL::operator==()']]], - ['operator_5b_5d_122',['operator[]',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#af3b093b2c085c855b53687304a7565fc',1,'tensorwrapper::symmetry::Permutation']]] + ['object_131',['object',['../classtensorwrapper_1_1dsl_1_1Labeled.html#a88e0bae8d8743a9e9f3f9cbe7c9e4576',1,'tensorwrapper::dsl::Labeled::object()'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#acb109ff1997c635acef48434c6e55354',1,'tensorwrapper::dsl::Labeled::object() const']]], + ['object_5freference_132',['object_reference',['../classtensorwrapper_1_1dsl_1_1Labeled.html#aa678cb1a3d21d4556f277e22e68f4e62',1,'tensorwrapper::dsl::Labeled']]], + ['object_5ftype_133',['object_type',['../classtensorwrapper_1_1dsl_1_1Labeled.html#a50740e4f3c8544efb8b3eb6089b4b030',1,'tensorwrapper::dsl::Labeled']]], + ['offset_5fvector_134',['offset_vector',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a6025b21b588ec419842de250959259e3',1,'tensorwrapper::dsl::DummyIndices']]], + ['operation_135',['Operation',['../classtensorwrapper_1_1symmetry_1_1Operation.html',1,'tensorwrapper::symmetry']]], + ['operator_21_3d_136',['operator!=',['../classtensorwrapper_1_1allocator_1_1Eigen.html#aada299517a047e17cf036ae8719e6931',1,'tensorwrapper::allocator::Eigen::operator!=()'],['../classtensorwrapper_1_1Tensor.html#ab063233acba20c6e07f46fb7222e9be3',1,'tensorwrapper::Tensor::operator!=()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a278addd95557f4e5e6994c1d35d61452',1,'tensorwrapper::symmetry::Permutation::operator!=()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a6c935052924a0f12afd9bcca7856b971',1,'tensorwrapper::symmetry::Group::operator!=()'],['../classtensorwrapper_1_1sparsity_1_1Pattern.html#a11dd23cf1150db6098af7ecb4a568df5',1,'tensorwrapper::sparsity::Pattern::operator!=()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#ad30e0c291ef1724aec4af5d57bdbafb2',1,'tensorwrapper::shape::SmoothView::operator!=()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a2a77ec769b1286d4026a3be0cb2dec73',1,'tensorwrapper::shape::Smooth::operator!=()'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a241920da32354167c943e89a4e7bd475',1,'tensorwrapper::layout::LayoutBase::operator!=()'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#a513a19c7ed85d459d4918f1fcf965c65',1,'tensorwrapper::dsl::Labeled::operator!=()'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a890c43e34bdeb510f829c21eab6dd6fa',1,'tensorwrapper::dsl::DummyIndices::operator!=(const_reference s) const'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a94695b94c3a3988445e380e507125bef',1,'tensorwrapper::dsl::DummyIndices::operator!=(const DummyIndices &rhs) const noexcept'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#a2e16947f53a206be4abac5f2bfeaf3cf',1,'tensorwrapper::buffer::Eigen::operator!=()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a489085b5300e738abb341e6277e9c6fa',1,'tensorwrapper::buffer::BufferBase::operator!=()'],['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#ae61cf9ca827269d9c3fc5cd4cf29ea5d',1,'tensorwrapper::allocator::AllocatorBase::operator!=()']]], + ['operator_28_29_137',['operator()',['../classtensorwrapper_1_1detail___1_1DSLBase.html#ab6eb6c7fa85642a8d9458f360c646ba3',1,'tensorwrapper::detail_::DSLBase::operator()(LabelType &&labels)'],['../classtensorwrapper_1_1detail___1_1DSLBase.html#a869ed602bc058cf88a1f17b8e9edaa7b',1,'tensorwrapper::detail_::DSLBase::operator()(LabelType &&labels) const']]], + ['operator_3c_3c_138',['operator<<',['../namespacetensorwrapper_1_1detail__.html#a6a52ed52f9381cb54bd6a1d4f9f3548c',1,'tensorwrapper::detail_']]], + ['operator_3d_139',['operator=',['../classtensorwrapper_1_1buffer_1_1Eigen.html#ab37fe9d7fb8692eeae32e5382d3d5a83',1,'tensorwrapper::buffer::Eigen::operator=()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a00b12aad85b2094f9d34ea6584956a07',1,'tensorwrapper::buffer::BufferBase::operator=()'],['../classtensorwrapper_1_1Tensor.html#aea9cde4c7f75f1ef28728341c580f84c',1,'tensorwrapper::Tensor::operator=(Tensor &&rhs) noexcept'],['../classtensorwrapper_1_1Tensor.html#aef4325a67ec34573a748491c32be7327',1,'tensorwrapper::Tensor::operator=(const Tensor &rhs)'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a0474cb4db720e13dc724b8a111b9f7ba',1,'tensorwrapper::symmetry::Group::operator=(Group &&rhs) noexcept=default'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a98d26cf01052eb923d4f342ac16da9c2',1,'tensorwrapper::symmetry::Group::operator=(const Group &rhs)'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a5c62b93f0495f387f3d427c4abc1da7f',1,'tensorwrapper::shape::SmoothView::operator=()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#af2853117d5e331ab5b8155b970506bee',1,'tensorwrapper::buffer::Eigen::operator=()'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#a8ab1730c75dde506d405e6468a40d533',1,'tensorwrapper::dsl::Labeled::operator=(const Labeled &rhs)'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#a804ffe4f6f3879f1598bb8db31eb1f72',1,'tensorwrapper::dsl::Labeled::operator=(TermType &&other)'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a15851f3b16dbd07d73e7ce0a3a784864',1,'tensorwrapper::shape::SmoothView::operator=()'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#a9c8a38b1a6d4c19ebd3b243350549dfd',1,'tensorwrapper::dsl::Labeled::operator=()']]], + ['operator_3d_3d_140',['operator==',['../classtensorwrapper_1_1shape_1_1Smooth.html#a1c67955bce2b67eaef143a985f601b6c',1,'tensorwrapper::shape::Smooth::operator==()'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#aa697a6068daaec7c5432142cb8da61ef',1,'tensorwrapper::detail_::TensorPIMPL::operator==()'],['../classtensorwrapper_1_1Tensor.html#ad163ce8eb5efbc96fba54a8a557d53cc',1,'tensorwrapper::Tensor::operator==()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#af759ae4f4de56b8a73adc9d4c8297949',1,'tensorwrapper::symmetry::Permutation::operator==()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#aeae67a6f8a2abd7828bc31c864052b79',1,'tensorwrapper::symmetry::Group::operator==()'],['../classtensorwrapper_1_1sparsity_1_1Pattern.html#a41caa3dab4c9e3d359eaf6f4ec1ff2d5',1,'tensorwrapper::sparsity::Pattern::operator==()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a9ae9fd29b801d238bd6ef4567511dd17',1,'tensorwrapper::shape::SmoothView::operator==()'],['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#ac40a821fdb5e566f560a5db3c8cf6b8f',1,'tensorwrapper::allocator::AllocatorBase::operator==()'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#aaf53563c36179c63d04bed88ee3dd106',1,'tensorwrapper::layout::LayoutBase::operator==()'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#ae6fe8c36fe2f39e9cdc2f66eb0678921',1,'tensorwrapper::dsl::Labeled::operator==()'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a409bbb9d96b8b489282d3ad86cff86a2',1,'tensorwrapper::dsl::DummyIndices::operator==(const_reference s) const'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a9828b8ad4ef046cc7b340289b88590b5',1,'tensorwrapper::dsl::DummyIndices::operator==(const DummyIndices &rhs) const noexcept'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#ad337f343a93fb3005933282918e7bed2',1,'tensorwrapper::buffer::Eigen::operator==()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a564962092d430bcc7453d3228bac985d',1,'tensorwrapper::buffer::BufferBase::operator==()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#ace0e6b1a75f977100baec43b52d8c9bb',1,'tensorwrapper::allocator::Eigen::operator==()']]], + ['operator_5b_5d_141',['operator[]',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#af3b093b2c085c855b53687304a7565fc',1,'tensorwrapper::symmetry::Permutation']]] ]; diff --git a/tensorwrapper_cxx_api/search/all_c.js b/tensorwrapper_cxx_api/search/all_c.js index 3c37064d..dce8180d 100644 --- a/tensorwrapper_cxx_api/search/all_c.js +++ b/tensorwrapper_cxx_api/search/all_c.js @@ -1,24 +1,26 @@ var searchData= [ - ['pairwiseparser_123',['PairwiseParser',['../classtensorwrapper_1_1dsl_1_1PairwiseParser.html',1,'tensorwrapper::dsl']]], - ['parent_5ftype_124',['parent_type',['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#afedf21550433e084d745788de89c1d51',1,'tensorwrapper::detail_::TensorPIMPL::parent_type()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a18529918f52909a990d555703c3254dd',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::parent_type()']]], - ['pattern_125',['Pattern',['../classtensorwrapper_1_1sparsity_1_1Pattern.html',1,'tensorwrapper::sparsity']]], - ['permutation_126',['Permutation',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a9940c27607049a403b445e3713f67fdb',1,'tensorwrapper::symmetry::Permutation']]], - ['permutation_127',['permutation',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a05338cd83a3d73acefdc630f3a7052ad',1,'tensorwrapper::dsl::DummyIndices']]], - ['permutation_128',['Permutation',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#ae9d1b331361bccf146701068cba2ce04',1,'tensorwrapper::symmetry::Permutation::Permutation(cycle_initializer_list il)'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#ab4dfc305b54a7c956e0d971e341c40d9',1,'tensorwrapper::symmetry::Permutation::Permutation()=default'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html',1,'tensorwrapper::symmetry::Permutation']]], - ['permute_129',['permute',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a525e74e8123d4b29d396cb6feb119f92',1,'tensorwrapper::buffer::BufferBase']]], - ['permute_5fassignment_130',['permute_assignment',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a00fb5dfc4457b60ae7947ffe1efc53a8',1,'tensorwrapper::buffer::BufferBase']]], - ['permute_5fassignment_5f_131',['permute_assignment_',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a2589fa26c7583d346504f6359b082ff1',1,'tensorwrapper::buffer::BufferBase::permute_assignment_()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#a1c44a36ea2508a0f7ec835d28314ca55',1,'tensorwrapper::buffer::Eigen::permute_assignment_()']]], - ['physical_132',['Physical',['../classtensorwrapper_1_1layout_1_1Physical.html',1,'tensorwrapper::layout']]], - ['physical_5flayout_5fpointer_133',['physical_layout_pointer',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a15d4dada36b1c63440c9e56fdf0da8ef',1,'tensorwrapper::detail_::TensorInput']]], - ['physical_5flayout_5ftype_134',['physical_layout_type',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a7367d01d5c06f644efcbc85820f2f7a7',1,'tensorwrapper::detail_::TensorInput']]], - ['pimpl_5fpointer_135',['pimpl_pointer',['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#a5cbb4afb1d15ae467484c02b2b735325',1,'tensorwrapper::detail_::TensorPIMPL::pimpl_pointer()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a8e14d73deada521aed7ecfd7d18066f9',1,'tensorwrapper::detail_::TensorFactory::pimpl_pointer()'],['../classtensorwrapper_1_1Tensor.html#a761be2f8023866d6b4dbcffb69d419be',1,'tensorwrapper::Tensor::pimpl_pointer()']]], - ['pimpl_5ftype_136',['pimpl_type',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a5106718edcce3b88a13ccbecf247aae6',1,'tensorwrapper::detail_::TensorFactory::pimpl_type()'],['../classtensorwrapper_1_1Tensor.html#a272fea9e213b7be56e8e4feab18b53da',1,'tensorwrapper::Tensor::pimpl_type()']]], - ['polymorphicbase_137',['PolymorphicBase',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a6ba66e5906f003079dd4ebe04ed18588',1,'tensorwrapper::detail_::PolymorphicBase::PolymorphicBase(const PolymorphicBase &other)=default'],['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#ab2ed41e0c812d0c07d7a59ef88beacb8',1,'tensorwrapper::detail_::PolymorphicBase::PolymorphicBase() noexcept=default'],['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_::PolymorphicBase< BaseType >']]], - ['polymorphicbase_3c_20allocatorbase_20_3e_138',['PolymorphicBase< AllocatorBase >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]], - ['polymorphicbase_3c_20bufferbase_20_3e_139',['PolymorphicBase< BufferBase >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]], - ['polymorphicbase_3c_20layoutbase_20_3e_140',['PolymorphicBase< LayoutBase >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]], - ['polymorphicbase_3c_20operation_20_3e_141',['PolymorphicBase< Operation >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]], - ['polymorphicbase_3c_20shapebase_20_3e_142',['PolymorphicBase< ShapeBase >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]], - ['polymorphicbase_3c_20smoothviewpimpl_3c_20smoothtype_20_3e_20_3e_143',['PolymorphicBase< SmoothViewPIMPL< SmoothType > >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]] + ['pairwiseparser_142',['PairwiseParser',['../classtensorwrapper_1_1dsl_1_1PairwiseParser.html',1,'tensorwrapper::dsl']]], + ['parent_5ftype_143',['parent_type',['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#afedf21550433e084d745788de89c1d51',1,'tensorwrapper::detail_::TensorPIMPL::parent_type()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a18529918f52909a990d555703c3254dd',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::parent_type()']]], + ['pattern_144',['Pattern',['../classtensorwrapper_1_1sparsity_1_1Pattern.html#a07fdb3e93508eb7f2d09f886d6082b60',1,'tensorwrapper::sparsity::Pattern::Pattern()'],['../classtensorwrapper_1_1sparsity_1_1Pattern.html',1,'tensorwrapper::sparsity::Pattern']]], + ['permutation_145',['Permutation',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a4169175f126a9a2fedcb1498901ae65f',1,'tensorwrapper::symmetry::Permutation::Permutation(mode_index_type rank=0)'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a45b691aceaf5f2b587ab50095c5c400f',1,'tensorwrapper::symmetry::Permutation::Permutation(mode_index_type rank, cycle_type cycle0, Args &&... args)'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#ae9d1b331361bccf146701068cba2ce04',1,'tensorwrapper::symmetry::Permutation::Permutation(cycle_initializer_list il)']]], + ['permutation_146',['permutation',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a05338cd83a3d73acefdc630f3a7052ad',1,'tensorwrapper::dsl::DummyIndices']]], + ['permutation_147',['Permutation',['../classtensorwrapper_1_1symmetry_1_1Permutation.html',1,'tensorwrapper::symmetry']]], + ['permute_5fassignment_148',['permute_assignment',['../classtensorwrapper_1_1detail___1_1DSLBase.html#aa547edda9c9e2a1fc49b6f605ad4e523',1,'tensorwrapper::detail_::DSLBase']]], + ['permute_5fassignment_5f_149',['permute_assignment_',['../classtensorwrapper_1_1symmetry_1_1Group.html#a55685e4fa2965af4de7852c1e2aef403',1,'tensorwrapper::symmetry::Group::permute_assignment_()'],['../classtensorwrapper_1_1sparsity_1_1Pattern.html#a1eb8259dbed55fd36071dc61607a0008',1,'tensorwrapper::sparsity::Pattern::permute_assignment_()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#ae504ad4364145c454969210b97170d7a',1,'tensorwrapper::shape::Smooth::permute_assignment_()'],['../classtensorwrapper_1_1detail___1_1DSLBase.html#a008c5821003bdbf9019a88a3281dccfb',1,'tensorwrapper::detail_::DSLBase::permute_assignment_()']]], + ['physical_150',['Physical',['../classtensorwrapper_1_1layout_1_1Physical.html',1,'tensorwrapper::layout']]], + ['physical_5flayout_5fpointer_151',['physical_layout_pointer',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a15d4dada36b1c63440c9e56fdf0da8ef',1,'tensorwrapper::detail_::TensorInput']]], + ['physical_5flayout_5ftype_152',['physical_layout_type',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a7367d01d5c06f644efcbc85820f2f7a7',1,'tensorwrapper::detail_::TensorInput']]], + ['pimpl_5fpointer_153',['pimpl_pointer',['../classtensorwrapper_1_1Tensor.html#a761be2f8023866d6b4dbcffb69d419be',1,'tensorwrapper::Tensor::pimpl_pointer()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a8e14d73deada521aed7ecfd7d18066f9',1,'tensorwrapper::detail_::TensorFactory::pimpl_pointer()'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#a5cbb4afb1d15ae467484c02b2b735325',1,'tensorwrapper::detail_::TensorPIMPL::pimpl_pointer()']]], + ['pimpl_5ftype_154',['pimpl_type',['../classtensorwrapper_1_1Tensor.html#a272fea9e213b7be56e8e4feab18b53da',1,'tensorwrapper::Tensor::pimpl_type()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a5106718edcce3b88a13ccbecf247aae6',1,'tensorwrapper::detail_::TensorFactory::pimpl_type()']]], + ['polymorphic_5fbase_5ftype_155',['polymorphic_base_type',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#ac4340bd1a23d9e7b59a32dabe6f77d67',1,'tensorwrapper::shape::ShapeBase']]], + ['polymorphicbase_156',['PolymorphicBase',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a6ba66e5906f003079dd4ebe04ed18588',1,'tensorwrapper::detail_::PolymorphicBase::PolymorphicBase(const PolymorphicBase &other)=default'],['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#ab2ed41e0c812d0c07d7a59ef88beacb8',1,'tensorwrapper::detail_::PolymorphicBase::PolymorphicBase() noexcept=default'],['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_::PolymorphicBase< BaseType >']]], + ['polymorphicbase_3c_20allocatorbase_20_3e_157',['PolymorphicBase< AllocatorBase >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]], + ['polymorphicbase_3c_20bufferbase_20_3e_158',['PolymorphicBase< BufferBase >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]], + ['polymorphicbase_3c_20group_20_3e_159',['PolymorphicBase< Group >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]], + ['polymorphicbase_3c_20layoutbase_20_3e_160',['PolymorphicBase< LayoutBase >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]], + ['polymorphicbase_3c_20operation_20_3e_161',['PolymorphicBase< Operation >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]], + ['polymorphicbase_3c_20pattern_20_3e_162',['PolymorphicBase< Pattern >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]], + ['polymorphicbase_3c_20shapebase_20_3e_163',['PolymorphicBase< ShapeBase >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]], + ['polymorphicbase_3c_20smoothviewpimpl_3c_20smoothtype_20_3e_20_3e_164',['PolymorphicBase< SmoothViewPIMPL< SmoothType > >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]] ]; diff --git a/tensorwrapper_cxx_api/search/all_d.js b/tensorwrapper_cxx_api/search/all_d.js index de721b52..61e9940d 100644 --- a/tensorwrapper_cxx_api/search/all_d.js +++ b/tensorwrapper_cxx_api/search/all_d.js @@ -1,12 +1,12 @@ var searchData= [ - ['rank_144',['rank',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a1618a29098e0f6f6527de1879aaf9788',1,'tensorwrapper::shape::ShapeBase::rank()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a8e951767e07b859826915b60ef098164',1,'tensorwrapper::shape::SmoothView::rank()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#af465cb6d5598c25b0d6844cdfd683542',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::rank()']]], - ['rank_5f_145',['rank_',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#a966d17c35554198372baac1d7692c030',1,'tensorwrapper::shape::detail_::SmoothAlias::rank_()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a816b1412c6bff33d81e94131b2d6019b',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::rank_()']]], - ['rank_5ftype_146',['rank_type',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a15f619581ee8f80fdd77ecb961b116c5',1,'tensorwrapper::shape::ShapeBase::rank_type()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a99bd66426793eca340b6fb20c184d35f',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::rank_type()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a15f619581ee8f80fdd77ecb961b116c5',1,'tensorwrapper::shape::Smooth::rank_type()']]], - ['rebind_147',['rebind',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a9be170d19adf5ae4f3008d06b12cf4ce',1,'tensorwrapper::allocator::Eigen::rebind(buffer_base_reference buffer)'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#a9a7b5b668835a7d4bedff6b3578bfe79',1,'tensorwrapper::allocator::Eigen::rebind(const_buffer_base_reference buffer)']]], - ['reference_148',['reference',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#afcb330cc0c92127a9c885c9b60e667b6',1,'tensorwrapper::dsl::DummyIndices::reference()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#acba7bb0bb27f57eda1d175af8bec59de',1,'tensorwrapper::symmetry::Group::reference()']]], - ['replicated_149',['Replicated',['../classtensorwrapper_1_1allocator_1_1Replicated.html',1,'tensorwrapper::allocator::Replicated'],['../classtensorwrapper_1_1buffer_1_1Replicated.html',1,'tensorwrapper::buffer::Replicated']]], - ['runtime_150',['runtime',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a100f87f7c9f9a7ec05b2848e231fb52a',1,'tensorwrapper::allocator::AllocatorBase::runtime() noexcept'],['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a9b14e0f48988de02803b4807951e0e74',1,'tensorwrapper::allocator::AllocatorBase::runtime() const noexcept']]], - ['runtime_5fview_5freference_151',['runtime_view_reference',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a42cd4f9c201c9727a70b7f20d061111a',1,'tensorwrapper::allocator::AllocatorBase']]], - ['runtime_5fview_5ftype_152',['runtime_view_type',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a4823d9e8f030d8dd0bad75f71a64749e',1,'tensorwrapper::allocator::AllocatorBase::runtime_view_type()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#a1bdb6fd8f064ef8e99948dae219e67dc',1,'tensorwrapper::detail_::TensorInput::runtime_view_type()']]] + ['rank_165',['rank',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a1618a29098e0f6f6527de1879aaf9788',1,'tensorwrapper::shape::ShapeBase::rank()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a8e951767e07b859826915b60ef098164',1,'tensorwrapper::shape::SmoothView::rank()'],['../classtensorwrapper_1_1sparsity_1_1Pattern.html#a9d4b950845cd9ec8212ae027d4132e35',1,'tensorwrapper::sparsity::Pattern::rank()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a12604c549c33c0026a434295635dde28',1,'tensorwrapper::symmetry::Group::rank()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#af465cb6d5598c25b0d6844cdfd683542',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::rank()']]], + ['rank_5f_166',['rank_',['../classtensorwrapper_1_1symmetry_1_1Operation.html#a38101fa04fd4902c83ae1fdbab25045a',1,'tensorwrapper::symmetry::Operation::rank_()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a4dff80e73ff8e0dae9d3e3fa13b535e0',1,'tensorwrapper::symmetry::Permutation::rank_()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#a966d17c35554198372baac1d7692c030',1,'tensorwrapper::shape::detail_::SmoothAlias::rank_()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a816b1412c6bff33d81e94131b2d6019b',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::rank_()']]], + ['rank_5ftype_167',['rank_type',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a15f619581ee8f80fdd77ecb961b116c5',1,'tensorwrapper::shape::ShapeBase::rank_type()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a99bd66426793eca340b6fb20c184d35f',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::rank_type()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a15f619581ee8f80fdd77ecb961b116c5',1,'tensorwrapper::shape::Smooth::rank_type()']]], + ['rebind_168',['rebind',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a9be170d19adf5ae4f3008d06b12cf4ce',1,'tensorwrapper::allocator::Eigen::rebind(buffer_base_reference buffer)'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#a9a7b5b668835a7d4bedff6b3578bfe79',1,'tensorwrapper::allocator::Eigen::rebind(const_buffer_base_reference buffer)']]], + ['reference_169',['reference',['../classtensorwrapper_1_1symmetry_1_1Group.html#acba7bb0bb27f57eda1d175af8bec59de',1,'tensorwrapper::symmetry::Group::reference()'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#afcb330cc0c92127a9c885c9b60e667b6',1,'tensorwrapper::dsl::DummyIndices::reference()']]], + ['replicated_170',['Replicated',['../classtensorwrapper_1_1allocator_1_1Replicated.html',1,'tensorwrapper::allocator::Replicated'],['../classtensorwrapper_1_1buffer_1_1Replicated.html',1,'tensorwrapper::buffer::Replicated']]], + ['runtime_171',['runtime',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a100f87f7c9f9a7ec05b2848e231fb52a',1,'tensorwrapper::allocator::AllocatorBase::runtime() noexcept'],['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a9b14e0f48988de02803b4807951e0e74',1,'tensorwrapper::allocator::AllocatorBase::runtime() const noexcept']]], + ['runtime_5fview_5freference_172',['runtime_view_reference',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a42cd4f9c201c9727a70b7f20d061111a',1,'tensorwrapper::allocator::AllocatorBase']]], + ['runtime_5fview_5ftype_173',['runtime_view_type',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a4823d9e8f030d8dd0bad75f71a64749e',1,'tensorwrapper::allocator::AllocatorBase::runtime_view_type()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#a1bdb6fd8f064ef8e99948dae219e67dc',1,'tensorwrapper::detail_::TensorInput::runtime_view_type()']]] ]; diff --git a/tensorwrapper_cxx_api/search/all_e.js b/tensorwrapper_cxx_api/search/all_e.js index 3cc6fe8c..9654fed9 100644 --- a/tensorwrapper_cxx_api/search/all_e.js +++ b/tensorwrapper_cxx_api/search/all_e.js @@ -1,35 +1,39 @@ var searchData= [ - ['scalar_5fil_5ftype_153',['scalar_il_type',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a3bf41273bcd62982129ea1fb5372c33e',1,'tensorwrapper::detail_::TensorFactory::scalar_il_type()'],['../classtensorwrapper_1_1Tensor.html#a85929ca1bb93159d162dbc8ab8104d77',1,'tensorwrapper::Tensor::scalar_il_type()']]], - ['shape_154',['shape',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#abd53570f204411c0843dbaf94db8e8bc',1,'tensorwrapper::layout::LayoutBase']]], - ['shape_5fbase_155',['shape_base',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a55e333983f5a90e40ae1519d6f4ff68a',1,'tensorwrapper::detail_::TensorInput::shape_base()'],['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a941c3dce37f20546e7a7d34200975d90',1,'tensorwrapper::shape::ShapeBase::shape_base()'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#aa89c9d09b236ef3686f33e5e20f3afe6',1,'tensorwrapper::layout::LayoutBase::shape_base()']]], - ['shape_5fpointer_156',['shape_pointer',['../classtensorwrapper_1_1layout_1_1Logical.html#ac9535792a17996334ff3f32a036d82ec',1,'tensorwrapper::layout::Logical::shape_pointer()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#a6bcaa5e84e14dd51497c3cf127db6695',1,'tensorwrapper::detail_::TensorInput::shape_pointer()'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#ac9535792a17996334ff3f32a036d82ec',1,'tensorwrapper::layout::LayoutBase::shape_pointer()']]], - ['shapebase_157',['ShapeBase',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#ab3d65ac8a2376f43a2d3cd2673680c30',1,'tensorwrapper::shape::ShapeBase::ShapeBase()'],['../classtensorwrapper_1_1shape_1_1ShapeBase.html',1,'tensorwrapper::shape::ShapeBase']]], - ['shapetraits_158',['ShapeTraits',['../structtensorwrapper_1_1shape_1_1ShapeTraits.html',1,'tensorwrapper::shape']]], - ['shapetraits_3c_20const_20shapebase_20_3e_159',['ShapeTraits< const ShapeBase >',['../structtensorwrapper_1_1shape_1_1ShapeTraits_3_01const_01ShapeBase_01_4.html',1,'tensorwrapper::shape']]], - ['shapetraits_3c_20const_20smooth_20_3e_160',['ShapeTraits< const Smooth >',['../structtensorwrapper_1_1shape_1_1ShapeTraits_3_01const_01Smooth_01_4.html',1,'tensorwrapper::shape']]], - ['shapetraits_3c_20shapebase_20_3e_161',['ShapeTraits< ShapeBase >',['../structtensorwrapper_1_1shape_1_1ShapeTraits_3_01ShapeBase_01_4.html',1,'tensorwrapper::shape']]], - ['shapetraits_3c_20smooth_20_3e_162',['ShapeTraits< Smooth >',['../structtensorwrapper_1_1shape_1_1ShapeTraits_3_01Smooth_01_4.html',1,'tensorwrapper::shape']]], - ['shapetraits_3c_20smoothview_3c_20t_20_3e_20_3e_163',['ShapeTraits< SmoothView< T > >',['../structtensorwrapper_1_1shape_1_1ShapeTraits_3_01SmoothView_3_01T_01_4_01_4.html',1,'tensorwrapper::shape']]], - ['size_164',['size',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#ab19bb1434c3cbfef14a9fccbabcf8f2d',1,'tensorwrapper::shape::ShapeBase::size()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#ae92748899d693c668aba236a18f18f1d',1,'tensorwrapper::shape::SmoothView::size()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a0286ba85caa3a734626dc9fd30049fcd',1,'tensorwrapper::symmetry::Permutation::size()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a8020b9114bce052f365219883b34b975',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::size() const noexcept']]], - ['size_5f_165',['size_',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#ad096d9458d33e864cb75f8ece2d558a1',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::size_()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#a7b0e28639b1cb2672243ad1bc5943954',1,'tensorwrapper::shape::detail_::SmoothAlias::size_()'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#ac9e7f352f1873d8f1b6f19974baa1704',1,'tensorwrapper::dsl::DummyIndices::size_()']]], - ['size_5ftype_166',['size_type',['../classtensorwrapper_1_1layout_1_1Logical.html#a9e4e0d859918af487ae9e20cea6865c4',1,'tensorwrapper::layout::Logical::size_type()'],['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a51825e970bbb82230a789703532f9109',1,'tensorwrapper::shape::ShapeBase::size_type()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a5d030933a808a1ea674d36a195e4c9b1',1,'tensorwrapper::symmetry::Group::size_type()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a51825e970bbb82230a789703532f9109',1,'tensorwrapper::shape::Smooth::size_type()'],['../classtensorwrapper_1_1layout_1_1Physical.html#a9e4e0d859918af487ae9e20cea6865c4',1,'tensorwrapper::layout::Physical::size_type()'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a57ee0818e5b85c1e291d965fa5b58a25',1,'tensorwrapper::dsl::DummyIndices::size_type()'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a9e4e0d859918af487ae9e20cea6865c4',1,'tensorwrapper::layout::LayoutBase::size_type()']]], - ['smooth_167',['Smooth',['../classtensorwrapper_1_1shape_1_1Smooth.html#ac8e62a5c15694d6d5be6f30b88dbf409',1,'tensorwrapper::shape::Smooth::Smooth(std::initializer_list< size_type > il)'],['../classtensorwrapper_1_1shape_1_1Smooth.html#adff2e0a992aab941cb5b40d0ceb482c5',1,'tensorwrapper::shape::Smooth::Smooth(BeginItrType &&begin, EndItrType &&end)'],['../classtensorwrapper_1_1shape_1_1Smooth.html',1,'tensorwrapper::shape::Smooth']]], - ['smooth_5freference_168',['smooth_reference',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a3b73c3f2152198e3d720bdb76aac806f',1,'tensorwrapper::shape::ShapeBase']]], - ['smooth_5ftraits_169',['smooth_traits',['../classtensorwrapper_1_1shape_1_1SmoothView.html#ab7805cb7dd018932d5160061662b279d',1,'tensorwrapper::shape::SmoothView']]], - ['smoothalias_170',['SmoothAlias',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#a572a60e47738c2db58703b2c8b9fa762',1,'tensorwrapper::shape::detail_::SmoothAlias::SmoothAlias()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html',1,'tensorwrapper::shape::detail_::SmoothAlias< SmoothType >']]], - ['smoothview_171',['SmoothView',['../classtensorwrapper_1_1shape_1_1SmoothView.html#a52247e682e13bb6b366c7498747c09f7',1,'tensorwrapper::shape::SmoothView::SmoothView()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#aae363bf931ccf150bf336f9334a4c157',1,'tensorwrapper::shape::SmoothView::SmoothView(smooth_reference smooth)'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a5e42a9a153c9816283d0dab9c342a544',1,'tensorwrapper::shape::SmoothView::SmoothView(const SmoothView< SmoothType2 > &other)'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a11b7631e60f18d04ebcd981489034e53',1,'tensorwrapper::shape::SmoothView::SmoothView(const SmoothView &other)'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a18496d0f273c3293c93457a440eafe80',1,'tensorwrapper::shape::SmoothView::SmoothView(SmoothView &&other) noexcept'],['../classtensorwrapper_1_1shape_1_1SmoothView.html',1,'tensorwrapper::shape::SmoothView< SmoothType >']]], - ['smoothviewpimpl_172',['SmoothViewPIMPL',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html',1,'tensorwrapper::shape::detail_']]], - ['sparsity_173',['sparsity',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a50440d727b8a08cd238a1ea919946b39',1,'tensorwrapper::layout::LayoutBase']]], - ['sparsity_5fbase_174',['sparsity_base',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a0b80aa9354da70a91a3826ec3e525ac7',1,'tensorwrapper::detail_::TensorInput']]], - ['sparsity_5fpointer_175',['sparsity_pointer',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a61bcc1c9a4c082cfa835f38946f4a038',1,'tensorwrapper::layout::LayoutBase::sparsity_pointer()'],['../classtensorwrapper_1_1layout_1_1Logical.html#a61bcc1c9a4c082cfa835f38946f4a038',1,'tensorwrapper::layout::Logical::sparsity_pointer()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#aad366fd1de70429ace06c3d221a57415',1,'tensorwrapper::detail_::TensorInput::sparsity_pointer()']]], - ['sparsity_5ftype_176',['sparsity_type',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a66079cbdc5772b88b309dcf91dce6383',1,'tensorwrapper::layout::LayoutBase']]], - ['split_5fstring_5ftype_177',['split_string_type',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a499aeed44afc4cb5d466d8a74711a5f4',1,'tensorwrapper::dsl::DummyIndices']]], - ['static_5fpointer_5fcast_178',['static_pointer_cast',['../namespacetensorwrapper_1_1detail__.html#a010ea06c04faf4954a04395948b172d3',1,'tensorwrapper::detail_']]], - ['string_5ftype_179',['string_type',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#ad9531ddf5e054a4c914b5f54dc981238',1,'tensorwrapper::detail_::PolymorphicBase']]], - ['swap_180',['swap',['../classtensorwrapper_1_1shape_1_1Smooth.html#a262aa155a31f827209fa995497b8c128',1,'tensorwrapper::shape::Smooth::swap()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#adfa9caf3ac4180ff4612bdefac6a5187',1,'tensorwrapper::shape::SmoothView::swap()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a4de17dab88782bfec5b976f59b623771',1,'tensorwrapper::symmetry::Group::swap()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a4b5933bcbf912a9769abf6f071dcb340',1,'tensorwrapper::symmetry::Permutation::swap()'],['../classtensorwrapper_1_1Tensor.html#a47f9907fce0daa1f797f275701f65236',1,'tensorwrapper::Tensor::swap()']]], - ['symmetry_181',['symmetry',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#ac5b8d647b9c144f56f807e804a922ca2',1,'tensorwrapper::layout::LayoutBase']]], - ['symmetry_5fbase_182',['symmetry_base',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a5d1bc137092a6b631073856173332c50',1,'tensorwrapper::detail_::TensorInput']]], - ['symmetry_5fpointer_183',['symmetry_pointer',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#accf5c9703736e9b36914a6cd82f9dee8',1,'tensorwrapper::layout::LayoutBase::symmetry_pointer()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#ab1050d85b5a333c68b5ebb9755bca72c',1,'tensorwrapper::detail_::TensorInput::symmetry_pointer()'],['../classtensorwrapper_1_1layout_1_1Logical.html#accf5c9703736e9b36914a6cd82f9dee8',1,'tensorwrapper::layout::Logical::symmetry_pointer()']]], - ['symmetry_5ftype_184',['symmetry_type',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a842c33e49a35c1a35b3348df9802c53b',1,'tensorwrapper::layout::LayoutBase']]] + ['scalar_5fil_5ftype_174',['scalar_il_type',['../classtensorwrapper_1_1Tensor.html#a85929ca1bb93159d162dbc8ab8104d77',1,'tensorwrapper::Tensor::scalar_il_type()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a3bf41273bcd62982129ea1fb5372c33e',1,'tensorwrapper::detail_::TensorFactory::scalar_il_type()']]], + ['scalar_5fmultiplication_175',['scalar_multiplication',['../classtensorwrapper_1_1detail___1_1DSLBase.html#a385f1e0555be7f7a8f64eabb3540a7cb',1,'tensorwrapper::detail_::DSLBase']]], + ['scalar_5fmultiplication_5f_176',['scalar_multiplication_',['../classtensorwrapper_1_1detail___1_1DSLBase.html#a91fea939ae6f36b80c81a919c5d67501',1,'tensorwrapper::detail_::DSLBase']]], + ['shape_177',['shape',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#abd53570f204411c0843dbaf94db8e8bc',1,'tensorwrapper::layout::LayoutBase']]], + ['shape_5fbase_178',['shape_base',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a55e333983f5a90e40ae1519d6f4ff68a',1,'tensorwrapper::detail_::TensorInput::shape_base()'],['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a941c3dce37f20546e7a7d34200975d90',1,'tensorwrapper::shape::ShapeBase::shape_base()'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#aa89c9d09b236ef3686f33e5e20f3afe6',1,'tensorwrapper::layout::LayoutBase::shape_base()']]], + ['shape_5fpointer_179',['shape_pointer',['../classtensorwrapper_1_1layout_1_1Logical.html#ac9535792a17996334ff3f32a036d82ec',1,'tensorwrapper::layout::Logical::shape_pointer()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#a6bcaa5e84e14dd51497c3cf127db6695',1,'tensorwrapper::detail_::TensorInput::shape_pointer()'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#ac9535792a17996334ff3f32a036d82ec',1,'tensorwrapper::layout::LayoutBase::shape_pointer()']]], + ['shapebase_180',['ShapeBase',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#ab3d65ac8a2376f43a2d3cd2673680c30',1,'tensorwrapper::shape::ShapeBase::ShapeBase()'],['../classtensorwrapper_1_1shape_1_1ShapeBase.html',1,'tensorwrapper::shape::ShapeBase']]], + ['shapetraits_181',['ShapeTraits',['../structtensorwrapper_1_1shape_1_1ShapeTraits.html',1,'tensorwrapper::shape']]], + ['shapetraits_3c_20const_20shapebase_20_3e_182',['ShapeTraits< const ShapeBase >',['../structtensorwrapper_1_1shape_1_1ShapeTraits_3_01const_01ShapeBase_01_4.html',1,'tensorwrapper::shape']]], + ['shapetraits_3c_20const_20smooth_20_3e_183',['ShapeTraits< const Smooth >',['../structtensorwrapper_1_1shape_1_1ShapeTraits_3_01const_01Smooth_01_4.html',1,'tensorwrapper::shape']]], + ['shapetraits_3c_20shapebase_20_3e_184',['ShapeTraits< ShapeBase >',['../structtensorwrapper_1_1shape_1_1ShapeTraits_3_01ShapeBase_01_4.html',1,'tensorwrapper::shape']]], + ['shapetraits_3c_20smooth_20_3e_185',['ShapeTraits< Smooth >',['../structtensorwrapper_1_1shape_1_1ShapeTraits_3_01Smooth_01_4.html',1,'tensorwrapper::shape']]], + ['shapetraits_3c_20smoothview_3c_20t_20_3e_20_3e_186',['ShapeTraits< SmoothView< T > >',['../structtensorwrapper_1_1shape_1_1ShapeTraits_3_01SmoothView_3_01T_01_4_01_4.html',1,'tensorwrapper::shape']]], + ['size_187',['size',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#ab19bb1434c3cbfef14a9fccbabcf8f2d',1,'tensorwrapper::shape::ShapeBase::size()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#ae92748899d693c668aba236a18f18f1d',1,'tensorwrapper::shape::SmoothView::size()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a0286ba85caa3a734626dc9fd30049fcd',1,'tensorwrapper::symmetry::Permutation::size()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a8020b9114bce052f365219883b34b975',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::size() const noexcept']]], + ['size_5f_188',['size_',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#ad096d9458d33e864cb75f8ece2d558a1',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::size_()'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#ac9e7f352f1873d8f1b6f19974baa1704',1,'tensorwrapper::dsl::DummyIndices::size_()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#a7b0e28639b1cb2672243ad1bc5943954',1,'tensorwrapper::shape::detail_::SmoothAlias::size_()']]], + ['size_5ftype_189',['size_type',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a51825e970bbb82230a789703532f9109',1,'tensorwrapper::shape::ShapeBase::size_type()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a5d030933a808a1ea674d36a195e4c9b1',1,'tensorwrapper::symmetry::Group::size_type()'],['../classtensorwrapper_1_1sparsity_1_1Pattern.html#ac5bca2f47eed0d1da103fa05a46b3af8',1,'tensorwrapper::sparsity::Pattern::size_type()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a51825e970bbb82230a789703532f9109',1,'tensorwrapper::shape::Smooth::size_type()'],['../classtensorwrapper_1_1layout_1_1Physical.html#a9e4e0d859918af487ae9e20cea6865c4',1,'tensorwrapper::layout::Physical::size_type()'],['../classtensorwrapper_1_1layout_1_1Logical.html#a9e4e0d859918af487ae9e20cea6865c4',1,'tensorwrapper::layout::Logical::size_type()'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a57ee0818e5b85c1e291d965fa5b58a25',1,'tensorwrapper::dsl::DummyIndices::size_type()'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a9e4e0d859918af487ae9e20cea6865c4',1,'tensorwrapper::layout::LayoutBase::size_type()']]], + ['smooth_190',['Smooth',['../classtensorwrapper_1_1shape_1_1Smooth.html#ac8e62a5c15694d6d5be6f30b88dbf409',1,'tensorwrapper::shape::Smooth::Smooth(std::initializer_list< size_type > il)'],['../classtensorwrapper_1_1shape_1_1Smooth.html#adff2e0a992aab941cb5b40d0ceb482c5',1,'tensorwrapper::shape::Smooth::Smooth(BeginItrType &&begin, EndItrType &&end)'],['../classtensorwrapper_1_1shape_1_1Smooth.html',1,'tensorwrapper::shape::Smooth']]], + ['smooth_5freference_191',['smooth_reference',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a3b73c3f2152198e3d720bdb76aac806f',1,'tensorwrapper::shape::ShapeBase']]], + ['smooth_5ftraits_192',['smooth_traits',['../classtensorwrapper_1_1shape_1_1SmoothView.html#ab7805cb7dd018932d5160061662b279d',1,'tensorwrapper::shape::SmoothView']]], + ['smoothalias_193',['SmoothAlias',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#a572a60e47738c2db58703b2c8b9fa762',1,'tensorwrapper::shape::detail_::SmoothAlias::SmoothAlias()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html',1,'tensorwrapper::shape::detail_::SmoothAlias< SmoothType >']]], + ['smoothview_194',['SmoothView',['../classtensorwrapper_1_1shape_1_1SmoothView.html#a18496d0f273c3293c93457a440eafe80',1,'tensorwrapper::shape::SmoothView::SmoothView(SmoothView &&other) noexcept'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a52247e682e13bb6b366c7498747c09f7',1,'tensorwrapper::shape::SmoothView::SmoothView()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#aae363bf931ccf150bf336f9334a4c157',1,'tensorwrapper::shape::SmoothView::SmoothView(smooth_reference smooth)'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a5e42a9a153c9816283d0dab9c342a544',1,'tensorwrapper::shape::SmoothView::SmoothView(const SmoothView< SmoothType2 > &other)'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a11b7631e60f18d04ebcd981489034e53',1,'tensorwrapper::shape::SmoothView::SmoothView(const SmoothView &other)'],['../classtensorwrapper_1_1shape_1_1SmoothView.html',1,'tensorwrapper::shape::SmoothView< SmoothType >']]], + ['smoothviewpimpl_195',['SmoothViewPIMPL',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html',1,'tensorwrapper::shape::detail_']]], + ['sparsity_196',['sparsity',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a50440d727b8a08cd238a1ea919946b39',1,'tensorwrapper::layout::LayoutBase']]], + ['sparsity_5fbase_197',['sparsity_base',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a0b80aa9354da70a91a3826ec3e525ac7',1,'tensorwrapper::detail_::TensorInput']]], + ['sparsity_5fpointer_198',['sparsity_pointer',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a61bcc1c9a4c082cfa835f38946f4a038',1,'tensorwrapper::layout::LayoutBase::sparsity_pointer()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#aad366fd1de70429ace06c3d221a57415',1,'tensorwrapper::detail_::TensorInput::sparsity_pointer()'],['../classtensorwrapper_1_1layout_1_1Logical.html#a61bcc1c9a4c082cfa835f38946f4a038',1,'tensorwrapper::layout::Logical::sparsity_pointer()']]], + ['sparsity_5ftype_199',['sparsity_type',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a66079cbdc5772b88b309dcf91dce6383',1,'tensorwrapper::layout::LayoutBase']]], + ['split_5fstring_5ftype_200',['split_string_type',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a499aeed44afc4cb5d466d8a74711a5f4',1,'tensorwrapper::dsl::DummyIndices']]], + ['static_5fpointer_5fcast_201',['static_pointer_cast',['../namespacetensorwrapper_1_1detail__.html#a010ea06c04faf4954a04395948b172d3',1,'tensorwrapper::detail_']]], + ['string_5ftype_202',['string_type',['../classtensorwrapper_1_1detail___1_1DSLBase.html#ad72659a6f55ee9bae43e1087aa1b086b',1,'tensorwrapper::detail_::DSLBase::string_type()'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#acdb1cb245242b584dd2398c916dbe11f',1,'tensorwrapper::dsl::Labeled::string_type()'],['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#ad9531ddf5e054a4c914b5f54dc981238',1,'tensorwrapper::detail_::PolymorphicBase::string_type()']]], + ['subtraction_5fassignment_203',['subtraction_assignment',['../classtensorwrapper_1_1detail___1_1DSLBase.html#a8428c120176049e398ac8ba60034b3fd',1,'tensorwrapper::detail_::DSLBase']]], + ['subtraction_5fassignment_5f_204',['subtraction_assignment_',['../classtensorwrapper_1_1shape_1_1Smooth.html#a2910f063d2daf520fccace249848d798',1,'tensorwrapper::shape::Smooth::subtraction_assignment_()'],['../classtensorwrapper_1_1sparsity_1_1Pattern.html#a2d02765fa54ed7bd13605e4b969df7da',1,'tensorwrapper::sparsity::Pattern::subtraction_assignment_()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#ac474a5d7d9a8ac583a2ae1219c09d9ca',1,'tensorwrapper::symmetry::Group::subtraction_assignment_()'],['../classtensorwrapper_1_1detail___1_1DSLBase.html#a9bcbb63e5d75306c054ae774f831049c',1,'tensorwrapper::detail_::DSLBase::subtraction_assignment_()']]], + ['swap_205',['swap',['../classtensorwrapper_1_1shape_1_1Smooth.html#a262aa155a31f827209fa995497b8c128',1,'tensorwrapper::shape::Smooth::swap()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#adfa9caf3ac4180ff4612bdefac6a5187',1,'tensorwrapper::shape::SmoothView::swap()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a4de17dab88782bfec5b976f59b623771',1,'tensorwrapper::symmetry::Group::swap()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a4b5933bcbf912a9769abf6f071dcb340',1,'tensorwrapper::symmetry::Permutation::swap()'],['../classtensorwrapper_1_1Tensor.html#a47f9907fce0daa1f797f275701f65236',1,'tensorwrapper::Tensor::swap()']]], + ['symmetry_206',['symmetry',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#ac5b8d647b9c144f56f807e804a922ca2',1,'tensorwrapper::layout::LayoutBase']]], + ['symmetry_5fbase_207',['symmetry_base',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a5d1bc137092a6b631073856173332c50',1,'tensorwrapper::detail_::TensorInput']]], + ['symmetry_5fpointer_208',['symmetry_pointer',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#accf5c9703736e9b36914a6cd82f9dee8',1,'tensorwrapper::layout::LayoutBase::symmetry_pointer()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#ab1050d85b5a333c68b5ebb9755bca72c',1,'tensorwrapper::detail_::TensorInput::symmetry_pointer()'],['../classtensorwrapper_1_1layout_1_1Logical.html#accf5c9703736e9b36914a6cd82f9dee8',1,'tensorwrapper::layout::Logical::symmetry_pointer()']]], + ['symmetry_5ftype_209',['symmetry_type',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a842c33e49a35c1a35b3348df9802c53b',1,'tensorwrapper::layout::LayoutBase']]] ]; diff --git a/tensorwrapper_cxx_api/search/all_f.js b/tensorwrapper_cxx_api/search/all_f.js index c458e616..f79b5594 100644 --- a/tensorwrapper_cxx_api/search/all_f.js +++ b/tensorwrapper_cxx_api/search/all_f.js @@ -1,20 +1,20 @@ var searchData= [ - ['allocator_185',['allocator',['../namespacetensorwrapper_1_1allocator.html',1,'tensorwrapper']]], - ['buffer_186',['buffer',['../namespacetensorwrapper_1_1buffer.html',1,'tensorwrapper']]], - ['detail_5f_187',['detail_',['../namespacetensorwrapper_1_1detail__.html',1,'tensorwrapper']]], - ['layout_188',['layout',['../namespacetensorwrapper_1_1layout.html',1,'tensorwrapper']]], - ['shape_189',['shape',['../namespacetensorwrapper_1_1shape.html',1,'tensorwrapper']]], - ['sparsity_190',['sparsity',['../namespacetensorwrapper_1_1sparsity.html',1,'tensorwrapper']]], - ['symmetry_191',['symmetry',['../namespacetensorwrapper_1_1symmetry.html',1,'tensorwrapper']]], - ['tensor_192',['Tensor',['../classtensorwrapper_1_1Tensor.html#a278149eaa7b86551d4b3a81ef2c5876b',1,'tensorwrapper::Tensor::Tensor(Tensor &&other) noexcept'],['../classtensorwrapper_1_1Tensor.html#a8fb700692f2fa743a68734c440be08f9',1,'tensorwrapper::Tensor::Tensor(const Tensor &other)'],['../classtensorwrapper_1_1Tensor.html#abce1ee61e8a582fca8d457999a493eb9',1,'tensorwrapper::Tensor::Tensor(scalar_il_type il)'],['../classtensorwrapper_1_1Tensor.html#a45966a20a0c7dd0b0ef96314ad1ab42d',1,'tensorwrapper::Tensor::Tensor(Args &&... args)'],['../classtensorwrapper_1_1Tensor.html#ad1e68d6937d1df0a3dc868096184d8bc',1,'tensorwrapper::Tensor::Tensor(input_type input)'],['../classtensorwrapper_1_1Tensor.html',1,'tensorwrapper::Tensor']]], - ['tensor3_5fil_5ftype_193',['tensor3_il_type',['../classtensorwrapper_1_1Tensor.html#a2ea66c7afb686eeab03b13f1791d4848',1,'tensorwrapper::Tensor::tensor3_il_type()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a32dfc71f73f04982bdb78fac14b47311',1,'tensorwrapper::detail_::TensorFactory::tensor3_il_type()']]], - ['tensor4_5fil_5ftype_194',['tensor4_il_type',['../classtensorwrapper_1_1Tensor.html#aec53b217d9b03c0a4dafe6147dede129',1,'tensorwrapper::Tensor::tensor4_il_type()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#aded3f81ed032278b437d4e20b45d4199',1,'tensorwrapper::detail_::TensorFactory::tensor4_il_type()']]], - ['tensor_5ftype_195',['tensor_type',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#abce3e31d7ddbdd503f9248fee94c3a7a',1,'tensorwrapper::detail_::TensorFactory']]], - ['tensorfactory_196',['TensorFactory',['../classtensorwrapper_1_1detail___1_1TensorFactory.html',1,'tensorwrapper::detail_']]], - ['tensorinput_197',['TensorInput',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a2dfa12ca41726a89840a65bbc2333917',1,'tensorwrapper::detail_::TensorInput::TensorInput()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html',1,'tensorwrapper::detail_::TensorInput']]], - ['tensorpimpl_198',['TensorPIMPL',['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#a61996e65e2affb60bb753e31eeed2e4a',1,'tensorwrapper::detail_::TensorPIMPL::TensorPIMPL(logical_layout_pointer plogical, buffer_pointer pbuffer)'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#a657cdd37beb6d14a7a9df6043007cf33',1,'tensorwrapper::detail_::TensorPIMPL::TensorPIMPL(const TensorPIMPL &other)'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html',1,'tensorwrapper::detail_::TensorPIMPL']]], - ['tensorwrapper_199',['tensorwrapper',['../namespacetensorwrapper.html',1,'']]], - ['to_5fstring_200',['to_string',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a299d66e878f901448a77207902096c85',1,'tensorwrapper::detail_::PolymorphicBase']]], - ['to_5fstring_5f_201',['to_string_',['../classtensorwrapper_1_1buffer_1_1Eigen.html#a1d58e8e57b18b6c4b2fcceb711bac62a',1,'tensorwrapper::buffer::Eigen']]] + ['allocator_210',['allocator',['../namespacetensorwrapper_1_1allocator.html',1,'tensorwrapper']]], + ['buffer_211',['buffer',['../namespacetensorwrapper_1_1buffer.html',1,'tensorwrapper']]], + ['detail_5f_212',['detail_',['../namespacetensorwrapper_1_1detail__.html',1,'tensorwrapper']]], + ['layout_213',['layout',['../namespacetensorwrapper_1_1layout.html',1,'tensorwrapper']]], + ['shape_214',['shape',['../namespacetensorwrapper_1_1shape.html',1,'tensorwrapper']]], + ['sparsity_215',['sparsity',['../namespacetensorwrapper_1_1sparsity.html',1,'tensorwrapper']]], + ['symmetry_216',['symmetry',['../namespacetensorwrapper_1_1symmetry.html',1,'tensorwrapper']]], + ['tensor_217',['Tensor',['../classtensorwrapper_1_1Tensor.html#a278149eaa7b86551d4b3a81ef2c5876b',1,'tensorwrapper::Tensor::Tensor(Tensor &&other) noexcept'],['../classtensorwrapper_1_1Tensor.html#a8fb700692f2fa743a68734c440be08f9',1,'tensorwrapper::Tensor::Tensor(const Tensor &other)'],['../classtensorwrapper_1_1Tensor.html#abce1ee61e8a582fca8d457999a493eb9',1,'tensorwrapper::Tensor::Tensor(scalar_il_type il)'],['../classtensorwrapper_1_1Tensor.html#a45966a20a0c7dd0b0ef96314ad1ab42d',1,'tensorwrapper::Tensor::Tensor(Args &&... args)'],['../classtensorwrapper_1_1Tensor.html#ad1e68d6937d1df0a3dc868096184d8bc',1,'tensorwrapper::Tensor::Tensor(input_type input)'],['../classtensorwrapper_1_1Tensor.html',1,'tensorwrapper::Tensor']]], + ['tensor3_5fil_5ftype_218',['tensor3_il_type',['../classtensorwrapper_1_1Tensor.html#a2ea66c7afb686eeab03b13f1791d4848',1,'tensorwrapper::Tensor::tensor3_il_type()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a32dfc71f73f04982bdb78fac14b47311',1,'tensorwrapper::detail_::TensorFactory::tensor3_il_type()']]], + ['tensor4_5fil_5ftype_219',['tensor4_il_type',['../classtensorwrapper_1_1Tensor.html#aec53b217d9b03c0a4dafe6147dede129',1,'tensorwrapper::Tensor::tensor4_il_type()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#aded3f81ed032278b437d4e20b45d4199',1,'tensorwrapper::detail_::TensorFactory::tensor4_il_type()']]], + ['tensor_5ftype_220',['tensor_type',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#abce3e31d7ddbdd503f9248fee94c3a7a',1,'tensorwrapper::detail_::TensorFactory']]], + ['tensorfactory_221',['TensorFactory',['../classtensorwrapper_1_1detail___1_1TensorFactory.html',1,'tensorwrapper::detail_']]], + ['tensorinput_222',['TensorInput',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a2dfa12ca41726a89840a65bbc2333917',1,'tensorwrapper::detail_::TensorInput::TensorInput()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html',1,'tensorwrapper::detail_::TensorInput']]], + ['tensorpimpl_223',['TensorPIMPL',['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#a61996e65e2affb60bb753e31eeed2e4a',1,'tensorwrapper::detail_::TensorPIMPL::TensorPIMPL(logical_layout_pointer plogical, buffer_pointer pbuffer)'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#a657cdd37beb6d14a7a9df6043007cf33',1,'tensorwrapper::detail_::TensorPIMPL::TensorPIMPL(const TensorPIMPL &other)'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html',1,'tensorwrapper::detail_::TensorPIMPL']]], + ['tensorwrapper_224',['tensorwrapper',['../namespacetensorwrapper.html',1,'']]], + ['to_5fstring_225',['to_string',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a299d66e878f901448a77207902096c85',1,'tensorwrapper::detail_::PolymorphicBase']]], + ['to_5fstring_5f_226',['to_string_',['../classtensorwrapper_1_1buffer_1_1Eigen.html#a1d58e8e57b18b6c4b2fcceb711bac62a',1,'tensorwrapper::buffer::Eigen::to_string_()'],['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a75d7ed3d4cedc67950be4b532db2516e',1,'tensorwrapper::detail_::PolymorphicBase::to_string_()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#ab48d11a79243f77e4f03748f61eb4ca7',1,'tensorwrapper::shape::Smooth::to_string_()']]] ]; diff --git a/tensorwrapper_cxx_api/search/classes_0.js b/tensorwrapper_cxx_api/search/classes_0.js index d712a589..ce0f27d3 100644 --- a/tensorwrapper_cxx_api/search/classes_0.js +++ b/tensorwrapper_cxx_api/search/classes_0.js @@ -1,4 +1,4 @@ var searchData= [ - ['allocatorbase_213',['AllocatorBase',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html',1,'tensorwrapper::allocator']]] + ['allocatorbase_239',['AllocatorBase',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html',1,'tensorwrapper::allocator']]] ]; diff --git a/tensorwrapper_cxx_api/search/classes_1.js b/tensorwrapper_cxx_api/search/classes_1.js index 506c5d74..f34d25be 100644 --- a/tensorwrapper_cxx_api/search/classes_1.js +++ b/tensorwrapper_cxx_api/search/classes_1.js @@ -1,4 +1,4 @@ var searchData= [ - ['bufferbase_214',['BufferBase',['../classtensorwrapper_1_1buffer_1_1BufferBase.html',1,'tensorwrapper::buffer']]] + ['bufferbase_240',['BufferBase',['../classtensorwrapper_1_1buffer_1_1BufferBase.html',1,'tensorwrapper::buffer']]] ]; diff --git a/tensorwrapper_cxx_api/search/classes_2.js b/tensorwrapper_cxx_api/search/classes_2.js index d8f04d56..b3e35d54 100644 --- a/tensorwrapper_cxx_api/search/classes_2.js +++ b/tensorwrapper_cxx_api/search/classes_2.js @@ -1,4 +1,9 @@ var searchData= [ - ['dummyindices_215',['DummyIndices',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html',1,'tensorwrapper::dsl']]] + ['dslbase_241',['DSLBase',['../classtensorwrapper_1_1detail___1_1DSLBase.html',1,'tensorwrapper::detail_']]], + ['dslbase_3c_20group_20_3e_242',['DSLBase< Group >',['../classtensorwrapper_1_1detail___1_1DSLBase.html',1,'tensorwrapper::detail_']]], + ['dslbase_3c_20pattern_20_3e_243',['DSLBase< Pattern >',['../classtensorwrapper_1_1detail___1_1DSLBase.html',1,'tensorwrapper::detail_']]], + ['dslbase_3c_20shapebase_20_3e_244',['DSLBase< ShapeBase >',['../classtensorwrapper_1_1detail___1_1DSLBase.html',1,'tensorwrapper::detail_']]], + ['dummyindices_245',['DummyIndices',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html',1,'tensorwrapper::dsl']]], + ['dummyindices_3c_20string_5ftype_20_3e_246',['DummyIndices< string_type >',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html',1,'tensorwrapper::dsl']]] ]; diff --git a/tensorwrapper_cxx_api/search/classes_3.js b/tensorwrapper_cxx_api/search/classes_3.js index f7754962..13a02011 100644 --- a/tensorwrapper_cxx_api/search/classes_3.js +++ b/tensorwrapper_cxx_api/search/classes_3.js @@ -1,4 +1,4 @@ var searchData= [ - ['eigen_216',['Eigen',['../classtensorwrapper_1_1allocator_1_1Eigen.html',1,'tensorwrapper::allocator::Eigen< FloatType, Rank >'],['../classtensorwrapper_1_1buffer_1_1Eigen.html',1,'tensorwrapper::buffer::Eigen< FloatType, Rank >']]] + ['eigen_247',['Eigen',['../classtensorwrapper_1_1allocator_1_1Eigen.html',1,'tensorwrapper::allocator::Eigen< FloatType, Rank >'],['../classtensorwrapper_1_1buffer_1_1Eigen.html',1,'tensorwrapper::buffer::Eigen< FloatType, Rank >']]] ]; diff --git a/tensorwrapper_cxx_api/search/classes_4.js b/tensorwrapper_cxx_api/search/classes_4.js index 5763ea4e..a7a3b5c0 100644 --- a/tensorwrapper_cxx_api/search/classes_4.js +++ b/tensorwrapper_cxx_api/search/classes_4.js @@ -1,4 +1,4 @@ var searchData= [ - ['group_217',['Group',['../classtensorwrapper_1_1symmetry_1_1Group.html',1,'tensorwrapper::symmetry']]] + ['group_248',['Group',['../classtensorwrapper_1_1symmetry_1_1Group.html',1,'tensorwrapper::symmetry']]] ]; diff --git a/tensorwrapper_cxx_api/search/classes_5.js b/tensorwrapper_cxx_api/search/classes_5.js index e8ad24ce..09fc9c70 100644 --- a/tensorwrapper_cxx_api/search/classes_5.js +++ b/tensorwrapper_cxx_api/search/classes_5.js @@ -1,5 +1,5 @@ var searchData= [ - ['istuple_218',['IsTuple',['../structtensorwrapper_1_1detail___1_1IsTuple.html',1,'tensorwrapper::detail_']]], - ['istuple_3c_20std_3a_3atuple_3c_20args_2e_2e_2e_20_3e_20_3e_219',['IsTuple< std::tuple< Args... > >',['../structtensorwrapper_1_1detail___1_1IsTuple_3_01std_1_1tuple_3_01Args_8_8_8_01_4_01_4.html',1,'tensorwrapper::detail_']]] + ['istuple_249',['IsTuple',['../structtensorwrapper_1_1detail___1_1IsTuple.html',1,'tensorwrapper::detail_']]], + ['istuple_3c_20std_3a_3atuple_3c_20args_2e_2e_2e_20_3e_20_3e_250',['IsTuple< std::tuple< Args... > >',['../structtensorwrapper_1_1detail___1_1IsTuple_3_01std_1_1tuple_3_01Args_8_8_8_01_4_01_4.html',1,'tensorwrapper::detail_']]] ]; diff --git a/tensorwrapper_cxx_api/search/classes_6.js b/tensorwrapper_cxx_api/search/classes_6.js index 2517ac61..f3e3beb7 100644 --- a/tensorwrapper_cxx_api/search/classes_6.js +++ b/tensorwrapper_cxx_api/search/classes_6.js @@ -1,7 +1,7 @@ var searchData= [ - ['labeled_220',['Labeled',['../classtensorwrapper_1_1dsl_1_1Labeled.html',1,'tensorwrapper::dsl']]], - ['layoutbase_221',['LayoutBase',['../classtensorwrapper_1_1layout_1_1LayoutBase.html',1,'tensorwrapper::layout']]], - ['local_222',['Local',['../classtensorwrapper_1_1allocator_1_1Local.html',1,'tensorwrapper::allocator::Local'],['../classtensorwrapper_1_1buffer_1_1Local.html',1,'tensorwrapper::buffer::Local']]], - ['logical_223',['Logical',['../classtensorwrapper_1_1layout_1_1Logical.html',1,'tensorwrapper::layout']]] + ['labeled_251',['Labeled',['../classtensorwrapper_1_1dsl_1_1Labeled.html',1,'tensorwrapper::dsl']]], + ['layoutbase_252',['LayoutBase',['../classtensorwrapper_1_1layout_1_1LayoutBase.html',1,'tensorwrapper::layout']]], + ['local_253',['Local',['../classtensorwrapper_1_1allocator_1_1Local.html',1,'tensorwrapper::allocator::Local'],['../classtensorwrapper_1_1buffer_1_1Local.html',1,'tensorwrapper::buffer::Local']]], + ['logical_254',['Logical',['../classtensorwrapper_1_1layout_1_1Logical.html',1,'tensorwrapper::layout']]] ]; diff --git a/tensorwrapper_cxx_api/search/classes_7.js b/tensorwrapper_cxx_api/search/classes_7.js index 3d6dea39..48c60406 100644 --- a/tensorwrapper_cxx_api/search/classes_7.js +++ b/tensorwrapper_cxx_api/search/classes_7.js @@ -1,4 +1,4 @@ var searchData= [ - ['operation_224',['Operation',['../classtensorwrapper_1_1symmetry_1_1Operation.html',1,'tensorwrapper::symmetry']]] + ['operation_255',['Operation',['../classtensorwrapper_1_1symmetry_1_1Operation.html',1,'tensorwrapper::symmetry']]] ]; diff --git a/tensorwrapper_cxx_api/search/classes_8.js b/tensorwrapper_cxx_api/search/classes_8.js index 4a29e5ea..f23b295f 100644 --- a/tensorwrapper_cxx_api/search/classes_8.js +++ b/tensorwrapper_cxx_api/search/classes_8.js @@ -1,14 +1,16 @@ var searchData= [ - ['pairwiseparser_225',['PairwiseParser',['../classtensorwrapper_1_1dsl_1_1PairwiseParser.html',1,'tensorwrapper::dsl']]], - ['pattern_226',['Pattern',['../classtensorwrapper_1_1sparsity_1_1Pattern.html',1,'tensorwrapper::sparsity']]], - ['permutation_227',['Permutation',['../classtensorwrapper_1_1symmetry_1_1Permutation.html',1,'tensorwrapper::symmetry']]], - ['physical_228',['Physical',['../classtensorwrapper_1_1layout_1_1Physical.html',1,'tensorwrapper::layout']]], - ['polymorphicbase_229',['PolymorphicBase',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]], - ['polymorphicbase_3c_20allocatorbase_20_3e_230',['PolymorphicBase< AllocatorBase >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]], - ['polymorphicbase_3c_20bufferbase_20_3e_231',['PolymorphicBase< BufferBase >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]], - ['polymorphicbase_3c_20layoutbase_20_3e_232',['PolymorphicBase< LayoutBase >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]], - ['polymorphicbase_3c_20operation_20_3e_233',['PolymorphicBase< Operation >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]], - ['polymorphicbase_3c_20shapebase_20_3e_234',['PolymorphicBase< ShapeBase >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]], - ['polymorphicbase_3c_20smoothviewpimpl_3c_20smoothtype_20_3e_20_3e_235',['PolymorphicBase< SmoothViewPIMPL< SmoothType > >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]] + ['pairwiseparser_256',['PairwiseParser',['../classtensorwrapper_1_1dsl_1_1PairwiseParser.html',1,'tensorwrapper::dsl']]], + ['pattern_257',['Pattern',['../classtensorwrapper_1_1sparsity_1_1Pattern.html',1,'tensorwrapper::sparsity']]], + ['permutation_258',['Permutation',['../classtensorwrapper_1_1symmetry_1_1Permutation.html',1,'tensorwrapper::symmetry']]], + ['physical_259',['Physical',['../classtensorwrapper_1_1layout_1_1Physical.html',1,'tensorwrapper::layout']]], + ['polymorphicbase_260',['PolymorphicBase',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]], + ['polymorphicbase_3c_20allocatorbase_20_3e_261',['PolymorphicBase< AllocatorBase >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]], + ['polymorphicbase_3c_20bufferbase_20_3e_262',['PolymorphicBase< BufferBase >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]], + ['polymorphicbase_3c_20group_20_3e_263',['PolymorphicBase< Group >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]], + ['polymorphicbase_3c_20layoutbase_20_3e_264',['PolymorphicBase< LayoutBase >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]], + ['polymorphicbase_3c_20operation_20_3e_265',['PolymorphicBase< Operation >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]], + ['polymorphicbase_3c_20pattern_20_3e_266',['PolymorphicBase< Pattern >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]], + ['polymorphicbase_3c_20shapebase_20_3e_267',['PolymorphicBase< ShapeBase >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]], + ['polymorphicbase_3c_20smoothviewpimpl_3c_20smoothtype_20_3e_20_3e_268',['PolymorphicBase< SmoothViewPIMPL< SmoothType > >',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html',1,'tensorwrapper::detail_']]] ]; diff --git a/tensorwrapper_cxx_api/search/classes_9.js b/tensorwrapper_cxx_api/search/classes_9.js index 65a5c69e..e4fad4c1 100644 --- a/tensorwrapper_cxx_api/search/classes_9.js +++ b/tensorwrapper_cxx_api/search/classes_9.js @@ -1,4 +1,4 @@ var searchData= [ - ['replicated_236',['Replicated',['../classtensorwrapper_1_1allocator_1_1Replicated.html',1,'tensorwrapper::allocator::Replicated'],['../classtensorwrapper_1_1buffer_1_1Replicated.html',1,'tensorwrapper::buffer::Replicated']]] + ['replicated_269',['Replicated',['../classtensorwrapper_1_1allocator_1_1Replicated.html',1,'tensorwrapper::allocator::Replicated'],['../classtensorwrapper_1_1buffer_1_1Replicated.html',1,'tensorwrapper::buffer::Replicated']]] ]; diff --git a/tensorwrapper_cxx_api/search/classes_a.js b/tensorwrapper_cxx_api/search/classes_a.js index f5c52063..2c06de85 100644 --- a/tensorwrapper_cxx_api/search/classes_a.js +++ b/tensorwrapper_cxx_api/search/classes_a.js @@ -1,14 +1,14 @@ var searchData= [ - ['shapebase_237',['ShapeBase',['../classtensorwrapper_1_1shape_1_1ShapeBase.html',1,'tensorwrapper::shape']]], - ['shapetraits_238',['ShapeTraits',['../structtensorwrapper_1_1shape_1_1ShapeTraits.html',1,'tensorwrapper::shape']]], - ['shapetraits_3c_20const_20shapebase_20_3e_239',['ShapeTraits< const ShapeBase >',['../structtensorwrapper_1_1shape_1_1ShapeTraits_3_01const_01ShapeBase_01_4.html',1,'tensorwrapper::shape']]], - ['shapetraits_3c_20const_20smooth_20_3e_240',['ShapeTraits< const Smooth >',['../structtensorwrapper_1_1shape_1_1ShapeTraits_3_01const_01Smooth_01_4.html',1,'tensorwrapper::shape']]], - ['shapetraits_3c_20shapebase_20_3e_241',['ShapeTraits< ShapeBase >',['../structtensorwrapper_1_1shape_1_1ShapeTraits_3_01ShapeBase_01_4.html',1,'tensorwrapper::shape']]], - ['shapetraits_3c_20smooth_20_3e_242',['ShapeTraits< Smooth >',['../structtensorwrapper_1_1shape_1_1ShapeTraits_3_01Smooth_01_4.html',1,'tensorwrapper::shape']]], - ['shapetraits_3c_20smoothview_3c_20t_20_3e_20_3e_243',['ShapeTraits< SmoothView< T > >',['../structtensorwrapper_1_1shape_1_1ShapeTraits_3_01SmoothView_3_01T_01_4_01_4.html',1,'tensorwrapper::shape']]], - ['smooth_244',['Smooth',['../classtensorwrapper_1_1shape_1_1Smooth.html',1,'tensorwrapper::shape']]], - ['smoothalias_245',['SmoothAlias',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html',1,'tensorwrapper::shape::detail_']]], - ['smoothview_246',['SmoothView',['../classtensorwrapper_1_1shape_1_1SmoothView.html',1,'tensorwrapper::shape']]], - ['smoothviewpimpl_247',['SmoothViewPIMPL',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html',1,'tensorwrapper::shape::detail_']]] + ['shapebase_270',['ShapeBase',['../classtensorwrapper_1_1shape_1_1ShapeBase.html',1,'tensorwrapper::shape']]], + ['shapetraits_271',['ShapeTraits',['../structtensorwrapper_1_1shape_1_1ShapeTraits.html',1,'tensorwrapper::shape']]], + ['shapetraits_3c_20const_20shapebase_20_3e_272',['ShapeTraits< const ShapeBase >',['../structtensorwrapper_1_1shape_1_1ShapeTraits_3_01const_01ShapeBase_01_4.html',1,'tensorwrapper::shape']]], + ['shapetraits_3c_20const_20smooth_20_3e_273',['ShapeTraits< const Smooth >',['../structtensorwrapper_1_1shape_1_1ShapeTraits_3_01const_01Smooth_01_4.html',1,'tensorwrapper::shape']]], + ['shapetraits_3c_20shapebase_20_3e_274',['ShapeTraits< ShapeBase >',['../structtensorwrapper_1_1shape_1_1ShapeTraits_3_01ShapeBase_01_4.html',1,'tensorwrapper::shape']]], + ['shapetraits_3c_20smooth_20_3e_275',['ShapeTraits< Smooth >',['../structtensorwrapper_1_1shape_1_1ShapeTraits_3_01Smooth_01_4.html',1,'tensorwrapper::shape']]], + ['shapetraits_3c_20smoothview_3c_20t_20_3e_20_3e_276',['ShapeTraits< SmoothView< T > >',['../structtensorwrapper_1_1shape_1_1ShapeTraits_3_01SmoothView_3_01T_01_4_01_4.html',1,'tensorwrapper::shape']]], + ['smooth_277',['Smooth',['../classtensorwrapper_1_1shape_1_1Smooth.html',1,'tensorwrapper::shape']]], + ['smoothalias_278',['SmoothAlias',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html',1,'tensorwrapper::shape::detail_']]], + ['smoothview_279',['SmoothView',['../classtensorwrapper_1_1shape_1_1SmoothView.html',1,'tensorwrapper::shape']]], + ['smoothviewpimpl_280',['SmoothViewPIMPL',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html',1,'tensorwrapper::shape::detail_']]] ]; diff --git a/tensorwrapper_cxx_api/search/classes_b.js b/tensorwrapper_cxx_api/search/classes_b.js index b6871526..3b5c0234 100644 --- a/tensorwrapper_cxx_api/search/classes_b.js +++ b/tensorwrapper_cxx_api/search/classes_b.js @@ -1,7 +1,7 @@ var searchData= [ - ['tensor_248',['Tensor',['../classtensorwrapper_1_1Tensor.html',1,'tensorwrapper']]], - ['tensorfactory_249',['TensorFactory',['../classtensorwrapper_1_1detail___1_1TensorFactory.html',1,'tensorwrapper::detail_']]], - ['tensorinput_250',['TensorInput',['../structtensorwrapper_1_1detail___1_1TensorInput.html',1,'tensorwrapper::detail_']]], - ['tensorpimpl_251',['TensorPIMPL',['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html',1,'tensorwrapper::detail_']]] + ['tensor_281',['Tensor',['../classtensorwrapper_1_1Tensor.html',1,'tensorwrapper']]], + ['tensorfactory_282',['TensorFactory',['../classtensorwrapper_1_1detail___1_1TensorFactory.html',1,'tensorwrapper::detail_']]], + ['tensorinput_283',['TensorInput',['../structtensorwrapper_1_1detail___1_1TensorInput.html',1,'tensorwrapper::detail_']]], + ['tensorpimpl_284',['TensorPIMPL',['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html',1,'tensorwrapper::detail_']]] ]; diff --git a/tensorwrapper_cxx_api/search/files_0.html b/tensorwrapper_cxx_api/search/files_0.html new file mode 100644 index 00000000..9498842a --- /dev/null +++ b/tensorwrapper_cxx_api/search/files_0.html @@ -0,0 +1,37 @@ + + + + + + + + + + +
                                                                                              +
                                                                                              Loading...
                                                                                              +
                                                                                              + +
                                                                                              Searching...
                                                                                              +
                                                                                              No Matches
                                                                                              + +
                                                                                              + + diff --git a/tensorwrapper_cxx_api/search/files_0.js b/tensorwrapper_cxx_api/search/files_0.js new file mode 100644 index 00000000..14100c62 --- /dev/null +++ b/tensorwrapper_cxx_api/search/files_0.js @@ -0,0 +1,4 @@ +var searchData= +[ + ['dsl_5fbase_2eipp_293',['dsl_base.ipp',['../dsl__base_8ipp.html',1,'']]] +]; diff --git a/tensorwrapper_cxx_api/search/functions_0.js b/tensorwrapper_cxx_api/search/functions_0.js index 4eededad..640446de 100644 --- a/tensorwrapper_cxx_api/search/functions_0.js +++ b/tensorwrapper_cxx_api/search/functions_0.js @@ -1,20 +1,19 @@ var searchData= [ - ['addition_260',['addition',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#af739abfb5fd9a036981e932d18d7493d',1,'tensorwrapper::buffer::BufferBase']]], - ['addition_5fassignment_261',['addition_assignment',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a6a79c696381a885b0e121a34ab2228aa',1,'tensorwrapper::buffer::BufferBase']]], - ['addition_5fassignment_5f_262',['addition_assignment_',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#aa1fccebc814b167bced60675c6925922',1,'tensorwrapper::buffer::BufferBase::addition_assignment_()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#a2f95446c1a98b4766610eb23f6f84789',1,'tensorwrapper::buffer::Eigen::addition_assignment_()']]], - ['allocate_263',['allocate',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#ae794aa8350808fb7899f261649999022',1,'tensorwrapper::allocator::AllocatorBase::allocate()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#a6789d2a0a7fd762c5671e913b2f04d5a',1,'tensorwrapper::allocator::Eigen::allocate(const_eigen_layout_reference layout)'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#af52b823fee9c33a584af2d86d7da8888',1,'tensorwrapper::allocator::Eigen::allocate(eigen_layout_pointer playout)']]], - ['allocate_5f_264',['allocate_',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#ad00c2c0c84a221ab7e6370f54d12408d',1,'tensorwrapper::allocator::AllocatorBase::allocate_()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#a57127b21eb1c98c076901894262fd9a4',1,'tensorwrapper::allocator::Eigen::allocate_()']]], - ['allocatorbase_265',['AllocatorBase',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#ac37a21c1ed525f06fcf1cd68a79db39c',1,'tensorwrapper::allocator::AllocatorBase::AllocatorBase(runtime_view_type rv)'],['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a12f2466d567563a185cd2e0d8386b849',1,'tensorwrapper::allocator::AllocatorBase::AllocatorBase(const AllocatorBase &other)=default']]], - ['are_5fdifferent_266',['are_different',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a0fce0bfd83f932ec181aaeb0367ba712',1,'tensorwrapper::detail_::PolymorphicBase']]], - ['are_5fequal_267',['are_equal',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#aca6aec83f64355cc5d6b5cac49fc4308',1,'tensorwrapper::detail_::PolymorphicBase']]], - ['are_5fequal_5f_268',['are_equal_',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a9fe5860a29e83a487f969ba4b6e3d8ae',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::are_equal_()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#aaf2f990b9a30fac0c3c60b6ed892f87e',1,'tensorwrapper::symmetry::Permutation::are_equal_()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#ab7ca3a4130ba23645098e1cc77d8a342',1,'tensorwrapper::shape::Smooth::are_equal_()'],['../classtensorwrapper_1_1layout_1_1Physical.html#a1fd72079e5ba66dec9acbf671adb083d',1,'tensorwrapper::layout::Physical::are_equal_()'],['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#af8ee6d1b455b90cb25552ce6aec53d8f',1,'tensorwrapper::detail_::PolymorphicBase::are_equal_()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#a1a5d451cf00ec7f568e0350c96a7064d',1,'tensorwrapper::buffer::Eigen::are_equal_()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#a12eadc5645a6b4348bfad5c620e5e72a',1,'tensorwrapper::allocator::Eigen::are_equal_()'],['../classtensorwrapper_1_1layout_1_1Logical.html#a3bef0d7cf78e3919fa9f45b0466bc17a',1,'tensorwrapper::layout::Logical::are_equal_()']]], - ['are_5fequal_5fimpl_5f_269',['are_equal_impl_',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a2223944f002e239a36207f6e5203b44b',1,'tensorwrapper::detail_::PolymorphicBase']]], - ['as_5fconst_270',['as_const',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a88e8fc72870c35043fca05e452da3032',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL']]], - ['as_5fconst_5f_271',['as_const_',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#a6aaf7ed03e0afc1d94646b2b1cd7d85f',1,'tensorwrapper::shape::detail_::SmoothAlias::as_const_()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a8bf1df7b57ef74a6b384e2f4d51e8028',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::as_const_()']]], - ['as_5fsmooth_272',['as_smooth',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#adc5246e07dcb76906588900f5cc8e265',1,'tensorwrapper::shape::ShapeBase::as_smooth() const'],['../classtensorwrapper_1_1shape_1_1ShapeBase.html#ac416d9de13de18404af646efb60d1c6b',1,'tensorwrapper::shape::ShapeBase::as_smooth()']]], - ['as_5fsmooth_5f_273',['as_smooth_',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#abc1d89dcc40a397d5eff3e46828573db',1,'tensorwrapper::shape::ShapeBase::as_smooth_()=0'],['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a6575fd95197c39683bbb79e1dc1055de',1,'tensorwrapper::shape::ShapeBase::as_smooth_() const =0'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a5342c24b40c890838656a4c90e4a7b9f',1,'tensorwrapper::shape::Smooth::as_smooth_() override'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a99985e68993900f30c6f28e8e4cc78c0',1,'tensorwrapper::shape::Smooth::as_smooth_() const override']]], - ['assert_5fvalid_274',['assert_valid',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#af83a91c613e7d9b22d1682ef9098453d',1,'tensorwrapper::detail_::TensorFactory']]], - ['at_275',['at',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a44df5a4075800f2d50bd7831935e9e12',1,'tensorwrapper::symmetry::Permutation']]], - ['at_5f_276',['at_',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a3e2abb9719cca0bc1d48c8793d5dde00',1,'tensorwrapper::dsl::DummyIndices::at_(size_type i)'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a5b525e9a1b90415fd7d7d98a179cd104',1,'tensorwrapper::dsl::DummyIndices::at_(size_type i) const']]] + ['addition_5fassignment_294',['addition_assignment',['../classtensorwrapper_1_1detail___1_1DSLBase.html#aacb754acebdb8d12c93687a5a3eccfc1',1,'tensorwrapper::detail_::DSLBase']]], + ['addition_5fassignment_5f_295',['addition_assignment_',['../classtensorwrapper_1_1detail___1_1DSLBase.html#a1261d0e2f3cc156aadb55aff0c848033',1,'tensorwrapper::detail_::DSLBase::addition_assignment_()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a8d3f2900c65313f41c1c988d32521f8b',1,'tensorwrapper::symmetry::Group::addition_assignment_()'],['../classtensorwrapper_1_1sparsity_1_1Pattern.html#aa6bc79e08e6dc6d80b3a7a2bd00b685b',1,'tensorwrapper::sparsity::Pattern::addition_assignment_()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#ae7efbe182609d0bbd15f4960e32217cd',1,'tensorwrapper::shape::Smooth::addition_assignment_()']]], + ['allocate_296',['allocate',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#ae794aa8350808fb7899f261649999022',1,'tensorwrapper::allocator::AllocatorBase::allocate()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#a6789d2a0a7fd762c5671e913b2f04d5a',1,'tensorwrapper::allocator::Eigen::allocate(const_eigen_layout_reference layout)'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#af52b823fee9c33a584af2d86d7da8888',1,'tensorwrapper::allocator::Eigen::allocate(eigen_layout_pointer playout)']]], + ['allocate_5f_297',['allocate_',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#ad00c2c0c84a221ab7e6370f54d12408d',1,'tensorwrapper::allocator::AllocatorBase::allocate_()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#a57127b21eb1c98c076901894262fd9a4',1,'tensorwrapper::allocator::Eigen::allocate_()']]], + ['allocatorbase_298',['AllocatorBase',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#ac37a21c1ed525f06fcf1cd68a79db39c',1,'tensorwrapper::allocator::AllocatorBase::AllocatorBase(runtime_view_type rv)'],['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a12f2466d567563a185cd2e0d8386b849',1,'tensorwrapper::allocator::AllocatorBase::AllocatorBase(const AllocatorBase &other)=default']]], + ['are_5fdifferent_299',['are_different',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a0fce0bfd83f932ec181aaeb0367ba712',1,'tensorwrapper::detail_::PolymorphicBase']]], + ['are_5fequal_300',['are_equal',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#aca6aec83f64355cc5d6b5cac49fc4308',1,'tensorwrapper::detail_::PolymorphicBase']]], + ['are_5fequal_5f_301',['are_equal_',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a9fe5860a29e83a487f969ba4b6e3d8ae',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::are_equal_()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#aaf2f990b9a30fac0c3c60b6ed892f87e',1,'tensorwrapper::symmetry::Permutation::are_equal_()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a5f21437b1938cdc2e87c7063c5b3c4a0',1,'tensorwrapper::symmetry::Group::are_equal_()'],['../classtensorwrapper_1_1sparsity_1_1Pattern.html#a5aec35076cae77ace77444e47b9edf61',1,'tensorwrapper::sparsity::Pattern::are_equal_()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#ab7ca3a4130ba23645098e1cc77d8a342',1,'tensorwrapper::shape::Smooth::are_equal_()'],['../classtensorwrapper_1_1layout_1_1Logical.html#a3bef0d7cf78e3919fa9f45b0466bc17a',1,'tensorwrapper::layout::Logical::are_equal_()'],['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#af8ee6d1b455b90cb25552ce6aec53d8f',1,'tensorwrapper::detail_::PolymorphicBase::are_equal_()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#a1a5d451cf00ec7f568e0350c96a7064d',1,'tensorwrapper::buffer::Eigen::are_equal_()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#a12eadc5645a6b4348bfad5c620e5e72a',1,'tensorwrapper::allocator::Eigen::are_equal_()'],['../classtensorwrapper_1_1layout_1_1Physical.html#a1fd72079e5ba66dec9acbf671adb083d',1,'tensorwrapper::layout::Physical::are_equal_()']]], + ['are_5fequal_5fimpl_5f_302',['are_equal_impl_',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a2223944f002e239a36207f6e5203b44b',1,'tensorwrapper::detail_::PolymorphicBase']]], + ['as_5fconst_303',['as_const',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a88e8fc72870c35043fca05e452da3032',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL']]], + ['as_5fconst_5f_304',['as_const_',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#a6aaf7ed03e0afc1d94646b2b1cd7d85f',1,'tensorwrapper::shape::detail_::SmoothAlias::as_const_()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a8bf1df7b57ef74a6b384e2f4d51e8028',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::as_const_()']]], + ['as_5fsmooth_305',['as_smooth',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#ac416d9de13de18404af646efb60d1c6b',1,'tensorwrapper::shape::ShapeBase::as_smooth()'],['../classtensorwrapper_1_1shape_1_1ShapeBase.html#adc5246e07dcb76906588900f5cc8e265',1,'tensorwrapper::shape::ShapeBase::as_smooth() const']]], + ['as_5fsmooth_5f_306',['as_smooth_',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#abc1d89dcc40a397d5eff3e46828573db',1,'tensorwrapper::shape::ShapeBase::as_smooth_()=0'],['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a6575fd95197c39683bbb79e1dc1055de',1,'tensorwrapper::shape::ShapeBase::as_smooth_() const =0'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a5342c24b40c890838656a4c90e4a7b9f',1,'tensorwrapper::shape::Smooth::as_smooth_() override'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a99985e68993900f30c6f28e8e4cc78c0',1,'tensorwrapper::shape::Smooth::as_smooth_() const override']]], + ['assert_5fvalid_307',['assert_valid',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#af83a91c613e7d9b22d1682ef9098453d',1,'tensorwrapper::detail_::TensorFactory']]], + ['at_308',['at',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a44df5a4075800f2d50bd7831935e9e12',1,'tensorwrapper::symmetry::Permutation']]], + ['at_5f_309',['at_',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a3e2abb9719cca0bc1d48c8793d5dde00',1,'tensorwrapper::dsl::DummyIndices::at_(size_type i)'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a5b525e9a1b90415fd7d7d98a179cd104',1,'tensorwrapper::dsl::DummyIndices::at_(size_type i) const']]] ]; diff --git a/tensorwrapper_cxx_api/search/functions_1.js b/tensorwrapper_cxx_api/search/functions_1.js index 57afe528..a08fdc3d 100644 --- a/tensorwrapper_cxx_api/search/functions_1.js +++ b/tensorwrapper_cxx_api/search/functions_1.js @@ -1,5 +1,5 @@ var searchData= [ - ['buffer_277',['buffer',['../classtensorwrapper_1_1Tensor.html#a399184a167a00c7b2a6a8c84d8286135',1,'tensorwrapper::Tensor::buffer()'],['../classtensorwrapper_1_1Tensor.html#a4bebb4bd3a8937abfdec46320f5bbdf8',1,'tensorwrapper::Tensor::buffer() const'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#a8398d69f1994ceb0a4a07f1d62efe211',1,'tensorwrapper::detail_::TensorPIMPL::buffer()'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#aba7813fcfb6cab382efdfd8a4cf391a2',1,'tensorwrapper::detail_::TensorPIMPL::buffer() const']]], - ['bufferbase_278',['BufferBase',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#aba4a07e6b73c9ce7826be6690e600b18',1,'tensorwrapper::buffer::BufferBase::BufferBase()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a14d94b478d912ff70ba634f6b9332de2',1,'tensorwrapper::buffer::BufferBase::BufferBase(const_layout_reference layout)'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a2193858e97e1e3204bff53cf15310b52',1,'tensorwrapper::buffer::BufferBase::BufferBase(layout_pointer playout) noexcept'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a15a3a6628e4afb8113b7c31ab6ed7ccb',1,'tensorwrapper::buffer::BufferBase::BufferBase(const BufferBase &other)']]] + ['buffer_310',['buffer',['../classtensorwrapper_1_1Tensor.html#a399184a167a00c7b2a6a8c84d8286135',1,'tensorwrapper::Tensor::buffer()'],['../classtensorwrapper_1_1Tensor.html#a4bebb4bd3a8937abfdec46320f5bbdf8',1,'tensorwrapper::Tensor::buffer() const'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#a8398d69f1994ceb0a4a07f1d62efe211',1,'tensorwrapper::detail_::TensorPIMPL::buffer()'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#aba7813fcfb6cab382efdfd8a4cf391a2',1,'tensorwrapper::detail_::TensorPIMPL::buffer() const']]], + ['bufferbase_311',['BufferBase',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#aba4a07e6b73c9ce7826be6690e600b18',1,'tensorwrapper::buffer::BufferBase::BufferBase()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a14d94b478d912ff70ba634f6b9332de2',1,'tensorwrapper::buffer::BufferBase::BufferBase(const_layout_reference layout)'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a2193858e97e1e3204bff53cf15310b52',1,'tensorwrapper::buffer::BufferBase::BufferBase(layout_pointer playout) noexcept'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a15a3a6628e4afb8113b7c31ab6ed7ccb',1,'tensorwrapper::buffer::BufferBase::BufferBase(const BufferBase &other)']]] ]; diff --git a/tensorwrapper_cxx_api/search/functions_10.js b/tensorwrapper_cxx_api/search/functions_10.js index 48906acb..3b690b03 100644 --- a/tensorwrapper_cxx_api/search/functions_10.js +++ b/tensorwrapper_cxx_api/search/functions_10.js @@ -1,4 +1,4 @@ var searchData= [ - ['unique_5findex_5fsize_342',['unique_index_size',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a5cc5d9056ed0d7c8b37dfdbf6d7c19c6',1,'tensorwrapper::dsl::DummyIndices']]] + ['unique_5findex_5fsize_386',['unique_index_size',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a5cc5d9056ed0d7c8b37dfdbf6d7c19c6',1,'tensorwrapper::dsl::DummyIndices']]] ]; diff --git a/tensorwrapper_cxx_api/search/functions_11.js b/tensorwrapper_cxx_api/search/functions_11.js index ac2211b1..3418af39 100644 --- a/tensorwrapper_cxx_api/search/functions_11.js +++ b/tensorwrapper_cxx_api/search/functions_11.js @@ -1,4 +1,4 @@ var searchData= [ - ['value_343',['value',['../classtensorwrapper_1_1buffer_1_1Eigen.html#a9b2fa5cd17d51787c52b228be181ef6a',1,'tensorwrapper::buffer::Eigen::value()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#a75bd252214a3a7e12eef2df5445087a9',1,'tensorwrapper::buffer::Eigen::value() const']]] + ['value_387',['value',['../classtensorwrapper_1_1buffer_1_1Eigen.html#a9b2fa5cd17d51787c52b228be181ef6a',1,'tensorwrapper::buffer::Eigen::value()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#a75bd252214a3a7e12eef2df5445087a9',1,'tensorwrapper::buffer::Eigen::value() const']]] ]; diff --git a/tensorwrapper_cxx_api/search/functions_12.js b/tensorwrapper_cxx_api/search/functions_12.js index 3d70d36b..154c77f4 100644 --- a/tensorwrapper_cxx_api/search/functions_12.js +++ b/tensorwrapper_cxx_api/search/functions_12.js @@ -1,10 +1,11 @@ var searchData= [ - ['_7elayoutbase_344',['~LayoutBase',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#aaebca0bcf4334a9715b1f5d6c8d691cf',1,'tensorwrapper::layout::LayoutBase']]], - ['_7eoperation_345',['~Operation',['../classtensorwrapper_1_1symmetry_1_1Operation.html#af5199a31e0d06f0ca319d0416886dae3',1,'tensorwrapper::symmetry::Operation']]], - ['_7epolymorphicbase_346',['~PolymorphicBase',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a024e62fa649f93a0cd1039a136381b47',1,'tensorwrapper::detail_::PolymorphicBase']]], - ['_7eshapebase_347',['~ShapeBase',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#aa4162d33ca58e8eaa4da1f4a883bf377',1,'tensorwrapper::shape::ShapeBase']]], - ['_7esmooth_348',['~Smooth',['../classtensorwrapper_1_1shape_1_1Smooth.html#a578dfa1e031e303eae82ea8611d7bb7f',1,'tensorwrapper::shape::Smooth']]], - ['_7esmoothview_349',['~SmoothView',['../classtensorwrapper_1_1shape_1_1SmoothView.html#a40e2e4f8b230bb3f42af6bca310f24f9',1,'tensorwrapper::shape::SmoothView']]], - ['_7etensor_350',['~Tensor',['../classtensorwrapper_1_1Tensor.html#a6a73c265b181e4030f01b575335a3855',1,'tensorwrapper::Tensor']]] + ['_7edslbase_388',['~DSLBase',['../classtensorwrapper_1_1detail___1_1DSLBase.html#a13304dcd5e5f4e71ef85c53c92218fdf',1,'tensorwrapper::detail_::DSLBase']]], + ['_7elayoutbase_389',['~LayoutBase',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#aaebca0bcf4334a9715b1f5d6c8d691cf',1,'tensorwrapper::layout::LayoutBase']]], + ['_7eoperation_390',['~Operation',['../classtensorwrapper_1_1symmetry_1_1Operation.html#af5199a31e0d06f0ca319d0416886dae3',1,'tensorwrapper::symmetry::Operation']]], + ['_7epolymorphicbase_391',['~PolymorphicBase',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a024e62fa649f93a0cd1039a136381b47',1,'tensorwrapper::detail_::PolymorphicBase']]], + ['_7eshapebase_392',['~ShapeBase',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#aa4162d33ca58e8eaa4da1f4a883bf377',1,'tensorwrapper::shape::ShapeBase']]], + ['_7esmooth_393',['~Smooth',['../classtensorwrapper_1_1shape_1_1Smooth.html#a578dfa1e031e303eae82ea8611d7bb7f',1,'tensorwrapper::shape::Smooth']]], + ['_7esmoothview_394',['~SmoothView',['../classtensorwrapper_1_1shape_1_1SmoothView.html#a40e2e4f8b230bb3f42af6bca310f24f9',1,'tensorwrapper::shape::SmoothView']]], + ['_7etensor_395',['~Tensor',['../classtensorwrapper_1_1Tensor.html#a6a73c265b181e4030f01b575335a3855',1,'tensorwrapper::Tensor']]] ]; diff --git a/tensorwrapper_cxx_api/search/functions_2.js b/tensorwrapper_cxx_api/search/functions_2.js index d1de9309..3a4fc870 100644 --- a/tensorwrapper_cxx_api/search/functions_2.js +++ b/tensorwrapper_cxx_api/search/functions_2.js @@ -1,10 +1,11 @@ var searchData= [ - ['can_5fmake_5flogical_5flayout_279',['can_make_logical_layout',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#ad533e483fcf260b635d3c7dd25af9372',1,'tensorwrapper::detail_::TensorFactory']]], - ['can_5frebind_280',['can_rebind',['../classtensorwrapper_1_1allocator_1_1Eigen.html#abe7f0f831c08af0e9e5cec0db5f2ba94',1,'tensorwrapper::allocator::Eigen']]], - ['clone_281',['clone',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a3b29b65a2f44ca721ce151a312a98521',1,'tensorwrapper::detail_::PolymorphicBase::clone()'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#a65d69622826a9ad7352e984371e11193',1,'tensorwrapper::detail_::TensorPIMPL::clone()']]], - ['clone_5f_282',['clone_',['../classtensorwrapper_1_1layout_1_1Physical.html#a38aee75a8072d1306b2f28cfaab44e40',1,'tensorwrapper::layout::Physical::clone_()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#a0824489bea9513ac0f1316105a15f3e2',1,'tensorwrapper::shape::detail_::SmoothAlias::clone_()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a01deb070f1bdb9e781269952cffb9d30',1,'tensorwrapper::symmetry::Permutation::clone_()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#ae638638ec86343c4d8a52864f6798b11',1,'tensorwrapper::shape::Smooth::clone_()'],['../classtensorwrapper_1_1layout_1_1Logical.html#a7ba14c956d52f3606a2a23d342a8336a',1,'tensorwrapper::layout::Logical::clone_()'],['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#ad0ce72301f81d6ad7f6316e84dee80e5',1,'tensorwrapper::detail_::PolymorphicBase::clone_()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#ab7879d4a3e1fb5aae1d08edf88aa769a',1,'tensorwrapper::buffer::Eigen::clone_()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#a097f6e36331c362231b34019a591a46d',1,'tensorwrapper::allocator::Eigen::clone_()']]], - ['clone_5fas_283',['clone_as',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#ad4cdc663a4e292257ec6a63815c17cbe',1,'tensorwrapper::detail_::PolymorphicBase']]], - ['construct_284',['construct',['../classtensorwrapper_1_1allocator_1_1Eigen.html#aac77e32ba29f706c047f2d98d8a6cd99',1,'tensorwrapper::allocator::Eigen::construct()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a8e58f1c0fa1724fb07ae084f141a441f',1,'tensorwrapper::detail_::TensorFactory::construct(input_type input)'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#aa26a25de4fc66cc34f91f1851d2d7e66',1,'tensorwrapper::detail_::TensorFactory::construct(scalar_il_type il)']]], - ['count_285',['count',['../classtensorwrapper_1_1symmetry_1_1Group.html#aeb2f06717b4d2fc010396434288a5bf1',1,'tensorwrapper::symmetry::Group']]] + ['can_5fmake_5flogical_5flayout_312',['can_make_logical_layout',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#ad533e483fcf260b635d3c7dd25af9372',1,'tensorwrapper::detail_::TensorFactory']]], + ['can_5frebind_313',['can_rebind',['../classtensorwrapper_1_1allocator_1_1Eigen.html#abe7f0f831c08af0e9e5cec0db5f2ba94',1,'tensorwrapper::allocator::Eigen']]], + ['clone_314',['clone',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a3b29b65a2f44ca721ce151a312a98521',1,'tensorwrapper::detail_::PolymorphicBase::clone()'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#a65d69622826a9ad7352e984371e11193',1,'tensorwrapper::detail_::TensorPIMPL::clone()']]], + ['clone_5f_315',['clone_',['../classtensorwrapper_1_1sparsity_1_1Pattern.html#a45adc598fd3dae7a33e06c3e1452bc70',1,'tensorwrapper::sparsity::Pattern::clone_()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#a0824489bea9513ac0f1316105a15f3e2',1,'tensorwrapper::shape::detail_::SmoothAlias::clone_()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a01deb070f1bdb9e781269952cffb9d30',1,'tensorwrapper::symmetry::Permutation::clone_()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#aaa1560f2e85c8c193f71a263af2e2532',1,'tensorwrapper::symmetry::Group::clone_()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#ae638638ec86343c4d8a52864f6798b11',1,'tensorwrapper::shape::Smooth::clone_()'],['../classtensorwrapper_1_1layout_1_1Physical.html#a38aee75a8072d1306b2f28cfaab44e40',1,'tensorwrapper::layout::Physical::clone_()'],['../classtensorwrapper_1_1layout_1_1Logical.html#a7ba14c956d52f3606a2a23d342a8336a',1,'tensorwrapper::layout::Logical::clone_()'],['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#ad0ce72301f81d6ad7f6316e84dee80e5',1,'tensorwrapper::detail_::PolymorphicBase::clone_()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#ab7879d4a3e1fb5aae1d08edf88aa769a',1,'tensorwrapper::buffer::Eigen::clone_()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#a097f6e36331c362231b34019a591a46d',1,'tensorwrapper::allocator::Eigen::clone_()']]], + ['clone_5fas_316',['clone_as',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#ad4cdc663a4e292257ec6a63815c17cbe',1,'tensorwrapper::detail_::PolymorphicBase']]], + ['concatenation_317',['concatenation',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a7c4440bda43c5e60d31262e548213519',1,'tensorwrapper::dsl::DummyIndices']]], + ['construct_318',['construct',['../classtensorwrapper_1_1allocator_1_1Eigen.html#aac77e32ba29f706c047f2d98d8a6cd99',1,'tensorwrapper::allocator::Eigen::construct()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a8e58f1c0fa1724fb07ae084f141a441f',1,'tensorwrapper::detail_::TensorFactory::construct(input_type input)'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#aa26a25de4fc66cc34f91f1851d2d7e66',1,'tensorwrapper::detail_::TensorFactory::construct(scalar_il_type il)']]], + ['count_319',['count',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#aeefe6f2d8639c3132c73f60922ec02f2',1,'tensorwrapper::dsl::DummyIndices::count()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#aeb2f06717b4d2fc010396434288a5bf1',1,'tensorwrapper::symmetry::Group::count()']]] ]; diff --git a/tensorwrapper_cxx_api/search/functions_3.js b/tensorwrapper_cxx_api/search/functions_3.js index bce2835c..906146bf 100644 --- a/tensorwrapper_cxx_api/search/functions_3.js +++ b/tensorwrapper_cxx_api/search/functions_3.js @@ -1,11 +1,11 @@ var searchData= [ - ['default_5fallocator_286',['default_allocator',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#af3bb8e1248e3589e9350a6065f1e83fc',1,'tensorwrapper::detail_::TensorFactory']]], - ['default_5flogical_5flayout_287',['default_logical_layout',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#aaad0148b7084815512bce51ebf89dd91',1,'tensorwrapper::detail_::TensorFactory']]], - ['default_5flogical_5fsparsity_288',['default_logical_sparsity',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a6dea343bc661b15fe959531467dbd271',1,'tensorwrapper::detail_::TensorFactory']]], - ['default_5flogical_5fsymmetry_289',['default_logical_symmetry',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#aa44adf47c336864ae3bc56c05db76c5a',1,'tensorwrapper::detail_::TensorFactory']]], - ['default_5fphysical_5flayout_290',['default_physical_layout',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#ad1807b1096cd36c042bbf5e91c1eba79',1,'tensorwrapper::detail_::TensorFactory']]], - ['dispatch_291',['dispatch',['../classtensorwrapper_1_1dsl_1_1PairwiseParser.html#a7fea83488e4e1e9be374d55b1662d277',1,'tensorwrapper::dsl::PairwiseParser::dispatch(labeled_type lhs, labeled_type rhs)'],['../classtensorwrapper_1_1dsl_1_1PairwiseParser.html#a443ade8b8ec40b95a743e40098e160a0',1,'tensorwrapper::dsl::PairwiseParser::dispatch(labeled_type lhs, const utilities::dsl::Add< T, U > &rhs)']]], - ['dummyindices_292',['DummyIndices',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a9fe08c3dd63065b6be315c618244d1d9',1,'tensorwrapper::dsl::DummyIndices::DummyIndices()=default'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a1e50697d1d7ac2b59e9383494eaff3c3',1,'tensorwrapper::dsl::DummyIndices::DummyIndices(const_reference dummy_indices)'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#ad88bf821540a38c854b0bf6c901c8903',1,'tensorwrapper::dsl::DummyIndices::DummyIndices(split_string_type split_dummy_indices)']]], - ['dynamic_5fpointer_5fcast_293',['dynamic_pointer_cast',['../namespacetensorwrapper_1_1detail__.html#a410419e18d9fa2a49ad7c7ed4509b317',1,'tensorwrapper::detail_']]] + ['default_5fallocator_320',['default_allocator',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#af3bb8e1248e3589e9350a6065f1e83fc',1,'tensorwrapper::detail_::TensorFactory']]], + ['default_5flogical_5flayout_321',['default_logical_layout',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#aaad0148b7084815512bce51ebf89dd91',1,'tensorwrapper::detail_::TensorFactory']]], + ['default_5flogical_5fsparsity_322',['default_logical_sparsity',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a6dea343bc661b15fe959531467dbd271',1,'tensorwrapper::detail_::TensorFactory']]], + ['default_5flogical_5fsymmetry_323',['default_logical_symmetry',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#aa44adf47c336864ae3bc56c05db76c5a',1,'tensorwrapper::detail_::TensorFactory']]], + ['default_5fphysical_5flayout_324',['default_physical_layout',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#ad1807b1096cd36c042bbf5e91c1eba79',1,'tensorwrapper::detail_::TensorFactory']]], + ['dispatch_325',['dispatch',['../classtensorwrapper_1_1dsl_1_1PairwiseParser.html#a19ea143a04faeefb864ce2db41e58b1d',1,'tensorwrapper::dsl::PairwiseParser::dispatch(LHSType &&lhs, const RHSType &rhs)'],['../classtensorwrapper_1_1dsl_1_1PairwiseParser.html#a4a16022c603dee623c1ff10e99afa81b',1,'tensorwrapper::dsl::PairwiseParser::dispatch(LHSType &&lhs, const utilities::dsl::Add< T, U > &rhs)'],['../classtensorwrapper_1_1dsl_1_1PairwiseParser.html#a149a3fed50ed25b5198d9d8be61c6091',1,'tensorwrapper::dsl::PairwiseParser::dispatch(LHSType &&lhs, const utilities::dsl::Subtract< T, U > &rhs)'],['../classtensorwrapper_1_1dsl_1_1PairwiseParser.html#aca1b07872c3e754c1e83f68262a20ee3',1,'tensorwrapper::dsl::PairwiseParser::dispatch(LHSType &&lhs, const utilities::dsl::Multiply< T, U > &rhs)']]], + ['dummyindices_326',['DummyIndices',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a9fe08c3dd63065b6be315c618244d1d9',1,'tensorwrapper::dsl::DummyIndices::DummyIndices()=default'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a1e50697d1d7ac2b59e9383494eaff3c3',1,'tensorwrapper::dsl::DummyIndices::DummyIndices(const_reference dummy_indices)'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#ad88bf821540a38c854b0bf6c901c8903',1,'tensorwrapper::dsl::DummyIndices::DummyIndices(split_string_type split_dummy_indices)']]], + ['dynamic_5fpointer_5fcast_327',['dynamic_pointer_cast',['../namespacetensorwrapper_1_1detail__.html#a410419e18d9fa2a49ad7c7ed4509b317',1,'tensorwrapper::detail_']]] ]; diff --git a/tensorwrapper_cxx_api/search/functions_4.js b/tensorwrapper_cxx_api/search/functions_4.js index a135c926..086e0572 100644 --- a/tensorwrapper_cxx_api/search/functions_4.js +++ b/tensorwrapper_cxx_api/search/functions_4.js @@ -1,6 +1,6 @@ var searchData= [ - ['eigen_294',['Eigen',['../classtensorwrapper_1_1allocator_1_1Eigen.html#af36cf3612d242d81074bf2aab1a000cd',1,'tensorwrapper::allocator::Eigen::Eigen()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#ab011a6123662907cf641e69993cf9903',1,'tensorwrapper::buffer::Eigen::Eigen() noexcept=default'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#ac0a2101cb2ff8cec4f9d55e0cda6bb4e',1,'tensorwrapper::buffer::Eigen::Eigen(DataType &&t, const_layout_reference layout)'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#afd77ce1bdc0bc8378641be442122f0e9',1,'tensorwrapper::buffer::Eigen::Eigen(const Eigen &other)=default'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#a6a7bb19a18b5b949f84fd4aa53995959',1,'tensorwrapper::buffer::Eigen::Eigen(Eigen &&other)=default']]], - ['extent_295',['extent',['../classtensorwrapper_1_1shape_1_1Smooth.html#acfd3c766b86aff5ba8bdc0aecfcf2514',1,'tensorwrapper::shape::Smooth::extent()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a92e3465e55b472e01b3baa110e5cb2d1',1,'tensorwrapper::shape::SmoothView::extent()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a278cf66ff7a1121db5b5734d0e0397d7',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::extent()']]], - ['extent_5f_296',['extent_',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#aa1a5f99a1db697084af7a7d65665a827',1,'tensorwrapper::shape::detail_::SmoothAlias::extent_()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a249def1e8c78d40bb39c88427073b125',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::extent_()']]] + ['eigen_328',['Eigen',['../classtensorwrapper_1_1allocator_1_1Eigen.html#af36cf3612d242d81074bf2aab1a000cd',1,'tensorwrapper::allocator::Eigen::Eigen()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#ab011a6123662907cf641e69993cf9903',1,'tensorwrapper::buffer::Eigen::Eigen() noexcept=default'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#ac0a2101cb2ff8cec4f9d55e0cda6bb4e',1,'tensorwrapper::buffer::Eigen::Eigen(DataType &&t, const_layout_reference layout)'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#afd77ce1bdc0bc8378641be442122f0e9',1,'tensorwrapper::buffer::Eigen::Eigen(const Eigen &other)=default'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#a6a7bb19a18b5b949f84fd4aa53995959',1,'tensorwrapper::buffer::Eigen::Eigen(Eigen &&other)=default']]], + ['extent_329',['extent',['../classtensorwrapper_1_1shape_1_1Smooth.html#acfd3c766b86aff5ba8bdc0aecfcf2514',1,'tensorwrapper::shape::Smooth::extent()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a92e3465e55b472e01b3baa110e5cb2d1',1,'tensorwrapper::shape::SmoothView::extent()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a278cf66ff7a1121db5b5734d0e0397d7',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::extent()']]], + ['extent_5f_330',['extent_',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#aa1a5f99a1db697084af7a7d65665a827',1,'tensorwrapper::shape::detail_::SmoothAlias::extent_()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a249def1e8c78d40bb39c88427073b125',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::extent_()']]] ]; diff --git a/tensorwrapper_cxx_api/search/functions_5.js b/tensorwrapper_cxx_api/search/functions_5.js index ea44428e..a9a926b1 100644 --- a/tensorwrapper_cxx_api/search/functions_5.js +++ b/tensorwrapper_cxx_api/search/functions_5.js @@ -1,4 +1,4 @@ var searchData= [ - ['find_297',['find',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#aa2d4b14865bd4f880b261777ea5dd7fd',1,'tensorwrapper::dsl::DummyIndices']]] + ['find_331',['find',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#aa2d4b14865bd4f880b261777ea5dd7fd',1,'tensorwrapper::dsl::DummyIndices']]] ]; diff --git a/tensorwrapper_cxx_api/search/functions_6.js b/tensorwrapper_cxx_api/search/functions_6.js index 2767e717..abe5b3bf 100644 --- a/tensorwrapper_cxx_api/search/functions_6.js +++ b/tensorwrapper_cxx_api/search/functions_6.js @@ -1,6 +1,6 @@ var searchData= [ - ['get_5frank_5f_298',['get_rank_',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a76e6dddc1c8ce3384d4b56388d505198',1,'tensorwrapper::shape::ShapeBase::get_rank_()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a0eac7920cdc4fb2cb058ed49cad765b2',1,'tensorwrapper::shape::Smooth::get_rank_()']]], - ['get_5fsize_5f_299',['get_size_',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a58aa9830483dedc9687a9ea4d4629c29',1,'tensorwrapper::shape::ShapeBase::get_size_()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#ae61342f4e0f5a8ca8de2620e7c93d729',1,'tensorwrapper::shape::Smooth::get_size_()']]], - ['group_300',['Group',['../classtensorwrapper_1_1symmetry_1_1Group.html#a9772892af5854c8dec0cd4cf91e1a1ac',1,'tensorwrapper::symmetry::Group::Group() noexcept=default'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a92f57b07bc9cfb657f6f86085b2702e4',1,'tensorwrapper::symmetry::Group::Group(const_reference op, Args &&... ops)'],['../classtensorwrapper_1_1symmetry_1_1Group.html#ac7b7678e1d56c391cdd5003c0ff60b08',1,'tensorwrapper::symmetry::Group::Group(const Group &other)'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a60bb9145ef569737843da644dc17500d',1,'tensorwrapper::symmetry::Group::Group(Group &&other) noexcept=default']]] + ['get_5frank_5f_332',['get_rank_',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a76e6dddc1c8ce3384d4b56388d505198',1,'tensorwrapper::shape::ShapeBase::get_rank_()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a0eac7920cdc4fb2cb058ed49cad765b2',1,'tensorwrapper::shape::Smooth::get_rank_()']]], + ['get_5fsize_5f_333',['get_size_',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a58aa9830483dedc9687a9ea4d4629c29',1,'tensorwrapper::shape::ShapeBase::get_size_()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#ae61342f4e0f5a8ca8de2620e7c93d729',1,'tensorwrapper::shape::Smooth::get_size_()']]], + ['group_334',['Group',['../classtensorwrapper_1_1symmetry_1_1Group.html#a9772892af5854c8dec0cd4cf91e1a1ac',1,'tensorwrapper::symmetry::Group::Group() noexcept=default'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a84c6740ceb0506c95586cd2eabc09b08',1,'tensorwrapper::symmetry::Group::Group(mode_index_type rank) noexcept'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a92f57b07bc9cfb657f6f86085b2702e4',1,'tensorwrapper::symmetry::Group::Group(const_reference op, Args &&... ops)'],['../classtensorwrapper_1_1symmetry_1_1Group.html#ac7b7678e1d56c391cdd5003c0ff60b08',1,'tensorwrapper::symmetry::Group::Group(const Group &other)'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a60bb9145ef569737843da644dc17500d',1,'tensorwrapper::symmetry::Group::Group(Group &&other) noexcept=default']]] ]; diff --git a/tensorwrapper_cxx_api/search/functions_7.js b/tensorwrapper_cxx_api/search/functions_7.js index b9dff014..f130e70b 100644 --- a/tensorwrapper_cxx_api/search/functions_7.js +++ b/tensorwrapper_cxx_api/search/functions_7.js @@ -1,6 +1,7 @@ var searchData= [ - ['has_5flayout_301',['has_layout',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a6623e82c5f3bef4b2fce767a55f55d40',1,'tensorwrapper::buffer::BufferBase']]], - ['has_5frepeated_5findices_302',['has_repeated_indices',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a1967c3a0f0ecb5a34fe3ea913d40d09a',1,'tensorwrapper::dsl::DummyIndices']]], - ['has_5fshape_303',['has_shape',['../structtensorwrapper_1_1detail___1_1TensorInput.html#acb1423af1f7c39ce8f21305a60a271eb',1,'tensorwrapper::detail_::TensorInput']]] + ['has_5flayout_335',['has_layout',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a6623e82c5f3bef4b2fce767a55f55d40',1,'tensorwrapper::buffer::BufferBase']]], + ['has_5fobject_336',['has_object',['../classtensorwrapper_1_1dsl_1_1Labeled.html#a26ad5b68f450e36de28adb8836e329a3',1,'tensorwrapper::dsl::Labeled']]], + ['has_5frepeated_5findices_337',['has_repeated_indices',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a1967c3a0f0ecb5a34fe3ea913d40d09a',1,'tensorwrapper::dsl::DummyIndices']]], + ['has_5fshape_338',['has_shape',['../structtensorwrapper_1_1detail___1_1TensorInput.html#acb1423af1f7c39ce8f21305a60a271eb',1,'tensorwrapper::detail_::TensorInput']]] ]; diff --git a/tensorwrapper_cxx_api/search/functions_8.js b/tensorwrapper_cxx_api/search/functions_8.js index ecfa2fda..6ead4f42 100644 --- a/tensorwrapper_cxx_api/search/functions_8.js +++ b/tensorwrapper_cxx_api/search/functions_8.js @@ -1,4 +1,6 @@ var searchData= [ - ['is_5fidentity_5f_304',['is_identity_',['../classtensorwrapper_1_1symmetry_1_1Operation.html#a20bb4513fbd3bae3535fe3283b20e82f',1,'tensorwrapper::symmetry::Operation::is_identity_()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#ac1cece2942c27d0409c2dba908b093a3',1,'tensorwrapper::symmetry::Permutation::is_identity_()']]] + ['intersection_339',['intersection',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a4c518ef880ad96a7745d3b78cd1c6b99',1,'tensorwrapper::dsl::DummyIndices']]], + ['is_5fidentity_5f_340',['is_identity_',['../classtensorwrapper_1_1symmetry_1_1Operation.html#a20bb4513fbd3bae3535fe3283b20e82f',1,'tensorwrapper::symmetry::Operation::is_identity_()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#ac1cece2942c27d0409c2dba908b093a3',1,'tensorwrapper::symmetry::Permutation::is_identity_()']]], + ['is_5fpermutation_341',['is_permutation',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#abb44ea53136f98e0a7825159a78d634e',1,'tensorwrapper::dsl::DummyIndices']]] ]; diff --git a/tensorwrapper_cxx_api/search/functions_9.js b/tensorwrapper_cxx_api/search/functions_9.js index e3f3f485..ce391a4c 100644 --- a/tensorwrapper_cxx_api/search/functions_9.js +++ b/tensorwrapper_cxx_api/search/functions_9.js @@ -1,7 +1,8 @@ var searchData= [ - ['labeled_305',['Labeled',['../classtensorwrapper_1_1dsl_1_1Labeled.html#ac3e497da6c7737c71c2f355a6d61f8d7',1,'tensorwrapper::dsl::Labeled::Labeled()=default'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#a45757e1ba3154e0da765da7952682692',1,'tensorwrapper::dsl::Labeled::Labeled(ObjectType2 &&object, LabelType2 &&labels)'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#a0b5e2895a45ce40ad2346c0e3933d602',1,'tensorwrapper::dsl::Labeled::Labeled(const Labeled< ObjectType2, LabelType > &input)']]], - ['layout_306',['layout',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a5214ae9b235a602c19864639ffef1c6b',1,'tensorwrapper::buffer::BufferBase']]], - ['layoutbase_307',['LayoutBase',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a967d148a759462a2d1576c8cf3a355ab',1,'tensorwrapper::layout::LayoutBase::LayoutBase(const_shape_reference shape, const_symmetry_reference symmetry, const_sparsity_reference sparsity)'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#af69aea19656f0ef643c821319cce6454',1,'tensorwrapper::layout::LayoutBase::LayoutBase(const_shape_reference shape)'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a951887239217eb4acb6a8a0ae13886b2',1,'tensorwrapper::layout::LayoutBase::LayoutBase(shape_pointer shape, symmetry_pointer symmetry, sparsity_pointer sparsity)'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a65a0cdba6c0e69d2a72f3859c4a2e30a',1,'tensorwrapper::layout::LayoutBase::LayoutBase(shape_pointer shape)'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#aab325027815409f328c55fda759b2642',1,'tensorwrapper::layout::LayoutBase::LayoutBase(const LayoutBase &other)']]], - ['logical_5flayout_308',['logical_layout',['../classtensorwrapper_1_1Tensor.html#aa93eb1f54cba7139b2b22b66f7c60459',1,'tensorwrapper::Tensor::logical_layout()'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#a083ae061ece5e4439294cfeadf1568b5',1,'tensorwrapper::detail_::TensorPIMPL::logical_layout()'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#a6847cef28ab23fdd781a5f98868d8bd7',1,'tensorwrapper::detail_::TensorPIMPL::logical_layout() const']]] + ['labeled_342',['Labeled',['../classtensorwrapper_1_1dsl_1_1Labeled.html#a205e7e56f41976651ba8b60a33fa4ca5',1,'tensorwrapper::dsl::Labeled::Labeled(ObjectType2 &&object, LabelType &&labels)'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#ab59556226536246570739dd024801270',1,'tensorwrapper::dsl::Labeled::Labeled(const Labeled< ObjectType2, StringType > &input)'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#aad70962adc3a9ac04e54ab1664f7be13',1,'tensorwrapper::dsl::Labeled::Labeled(const Labeled &other)=default'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#a8725b10682cac824734b800dab8fbf65',1,'tensorwrapper::dsl::Labeled::Labeled(Labeled &&other) noexcept=default']]], + ['labels_343',['labels',['../classtensorwrapper_1_1dsl_1_1Labeled.html#a2ca70fd68c2c5102b3dced45880ad796',1,'tensorwrapper::dsl::Labeled::labels() noexcept'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#a29ef7af4ac0a8bc33bae443f4bdbf6d1',1,'tensorwrapper::dsl::Labeled::labels() const noexcept']]], + ['layout_344',['layout',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a5214ae9b235a602c19864639ffef1c6b',1,'tensorwrapper::buffer::BufferBase']]], + ['layoutbase_345',['LayoutBase',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a967d148a759462a2d1576c8cf3a355ab',1,'tensorwrapper::layout::LayoutBase::LayoutBase(const_shape_reference shape, const_symmetry_reference symmetry, const_sparsity_reference sparsity)'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#af69aea19656f0ef643c821319cce6454',1,'tensorwrapper::layout::LayoutBase::LayoutBase(const_shape_reference shape)'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a951887239217eb4acb6a8a0ae13886b2',1,'tensorwrapper::layout::LayoutBase::LayoutBase(shape_pointer shape, symmetry_pointer symmetry, sparsity_pointer sparsity)'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a65a0cdba6c0e69d2a72f3859c4a2e30a',1,'tensorwrapper::layout::LayoutBase::LayoutBase(shape_pointer shape)'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#aab325027815409f328c55fda759b2642',1,'tensorwrapper::layout::LayoutBase::LayoutBase(const LayoutBase &other)']]], + ['logical_5flayout_346',['logical_layout',['../classtensorwrapper_1_1Tensor.html#aa93eb1f54cba7139b2b22b66f7c60459',1,'tensorwrapper::Tensor::logical_layout()'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#a083ae061ece5e4439294cfeadf1568b5',1,'tensorwrapper::detail_::TensorPIMPL::logical_layout()'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#a6847cef28ab23fdd781a5f98868d8bd7',1,'tensorwrapper::detail_::TensorPIMPL::logical_layout() const']]] ]; diff --git a/tensorwrapper_cxx_api/search/functions_a.js b/tensorwrapper_cxx_api/search/functions_a.js index b92a9eb1..ab90d31c 100644 --- a/tensorwrapper_cxx_api/search/functions_a.js +++ b/tensorwrapper_cxx_api/search/functions_a.js @@ -1,4 +1,5 @@ var searchData= [ - ['minimum_5frank_309',['minimum_rank',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a1c09333cfcecc1c11c49ff278b0707a8',1,'tensorwrapper::symmetry::Permutation']]] + ['multiplication_5fassignment_347',['multiplication_assignment',['../classtensorwrapper_1_1detail___1_1DSLBase.html#abdd76bb7b627b14a67f64b3df9e907b7',1,'tensorwrapper::detail_::DSLBase']]], + ['multiplication_5fassignment_5f_348',['multiplication_assignment_',['../classtensorwrapper_1_1detail___1_1DSLBase.html#a6b7d84d148e0bb06f2d5511828051b5b',1,'tensorwrapper::detail_::DSLBase::multiplication_assignment_()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a6fa63d0c5b8fe6d90973ab744b6b8093',1,'tensorwrapper::shape::Smooth::multiplication_assignment_()'],['../classtensorwrapper_1_1sparsity_1_1Pattern.html#ae4205f3086fa2c85abf9216b25dcb5f0',1,'tensorwrapper::sparsity::Pattern::multiplication_assignment_()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#aa558f46975d77c12f0f38c7d3e8fc9a9',1,'tensorwrapper::symmetry::Group::multiplication_assignment_()']]] ]; diff --git a/tensorwrapper_cxx_api/search/functions_b.js b/tensorwrapper_cxx_api/search/functions_b.js index a89f534e..bfd5ee02 100644 --- a/tensorwrapper_cxx_api/search/functions_b.js +++ b/tensorwrapper_cxx_api/search/functions_b.js @@ -1,9 +1,10 @@ var searchData= [ - ['operator_21_3d_310',['operator!=',['../classtensorwrapper_1_1allocator_1_1Eigen.html#aada299517a047e17cf036ae8719e6931',1,'tensorwrapper::allocator::Eigen::operator!=()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a489085b5300e738abb341e6277e9c6fa',1,'tensorwrapper::buffer::BufferBase::operator!=()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#a2e16947f53a206be4abac5f2bfeaf3cf',1,'tensorwrapper::buffer::Eigen::operator!=()'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a241920da32354167c943e89a4e7bd475',1,'tensorwrapper::layout::LayoutBase::operator!=()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a2a77ec769b1286d4026a3be0cb2dec73',1,'tensorwrapper::shape::Smooth::operator!=()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#ad30e0c291ef1724aec4af5d57bdbafb2',1,'tensorwrapper::shape::SmoothView::operator!=()'],['../classtensorwrapper_1_1sparsity_1_1Pattern.html#a11dd23cf1150db6098af7ecb4a568df5',1,'tensorwrapper::sparsity::Pattern::operator!=()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a6c935052924a0f12afd9bcca7856b971',1,'tensorwrapper::symmetry::Group::operator!=()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a278addd95557f4e5e6994c1d35d61452',1,'tensorwrapper::symmetry::Permutation::operator!=()'],['../classtensorwrapper_1_1Tensor.html#ab063233acba20c6e07f46fb7222e9be3',1,'tensorwrapper::Tensor::operator!=()'],['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#ae61cf9ca827269d9c3fc5cd4cf29ea5d',1,'tensorwrapper::allocator::AllocatorBase::operator!=()']]], - ['operator_28_29_311',['operator()',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a0e3ad02640fd9c68e697109c555bfe72',1,'tensorwrapper::buffer::BufferBase::operator()(label_type labels)'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a6377b52a8aa94a48a39a103622657b13',1,'tensorwrapper::buffer::BufferBase::operator()(label_type labels) const'],['../classtensorwrapper_1_1Tensor.html#aa1c3892974f03518459c6840631411f2',1,'tensorwrapper::Tensor::operator()(const_label_reference labels)'],['../classtensorwrapper_1_1Tensor.html#ac0b0001c600e3540a0fd5d8aada45966',1,'tensorwrapper::Tensor::operator()(const_label_reference labels) const']]], - ['operator_3c_3c_312',['operator<<',['../namespacetensorwrapper_1_1detail__.html#a6a52ed52f9381cb54bd6a1d4f9f3548c',1,'tensorwrapper::detail_']]], - ['operator_3d_313',['operator=',['../classtensorwrapper_1_1buffer_1_1Eigen.html#ab37fe9d7fb8692eeae32e5382d3d5a83',1,'tensorwrapper::buffer::Eigen::operator=()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a00b12aad85b2094f9d34ea6584956a07',1,'tensorwrapper::buffer::BufferBase::operator=()'],['../classtensorwrapper_1_1Tensor.html#aea9cde4c7f75f1ef28728341c580f84c',1,'tensorwrapper::Tensor::operator=(Tensor &&rhs) noexcept'],['../classtensorwrapper_1_1Tensor.html#aef4325a67ec34573a748491c32be7327',1,'tensorwrapper::Tensor::operator=(const Tensor &rhs)'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a0474cb4db720e13dc724b8a111b9f7ba',1,'tensorwrapper::symmetry::Group::operator=()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a15851f3b16dbd07d73e7ce0a3a784864',1,'tensorwrapper::shape::SmoothView::operator=()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#af2853117d5e331ab5b8155b970506bee',1,'tensorwrapper::buffer::Eigen::operator=()'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#aa8f30c294f73ce4e6859afd8845c7983',1,'tensorwrapper::dsl::Labeled::operator=()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a5c62b93f0495f387f3d427c4abc1da7f',1,'tensorwrapper::shape::SmoothView::operator=()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a98d26cf01052eb923d4f342ac16da9c2',1,'tensorwrapper::symmetry::Group::operator=()']]], - ['operator_3d_3d_314',['operator==',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#ac40a821fdb5e566f560a5db3c8cf6b8f',1,'tensorwrapper::allocator::AllocatorBase::operator==()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#ace0e6b1a75f977100baec43b52d8c9bb',1,'tensorwrapper::allocator::Eigen::operator==()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a564962092d430bcc7453d3228bac985d',1,'tensorwrapper::buffer::BufferBase::operator==()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#ad337f343a93fb3005933282918e7bed2',1,'tensorwrapper::buffer::Eigen::operator==()'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#aaf53563c36179c63d04bed88ee3dd106',1,'tensorwrapper::layout::LayoutBase::operator==()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a1c67955bce2b67eaef143a985f601b6c',1,'tensorwrapper::shape::Smooth::operator==()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a9ae9fd29b801d238bd6ef4567511dd17',1,'tensorwrapper::shape::SmoothView::operator==()'],['../classtensorwrapper_1_1sparsity_1_1Pattern.html#a41caa3dab4c9e3d359eaf6f4ec1ff2d5',1,'tensorwrapper::sparsity::Pattern::operator==()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#aeae67a6f8a2abd7828bc31c864052b79',1,'tensorwrapper::symmetry::Group::operator==()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#af759ae4f4de56b8a73adc9d4c8297949',1,'tensorwrapper::symmetry::Permutation::operator==()'],['../classtensorwrapper_1_1Tensor.html#ad163ce8eb5efbc96fba54a8a557d53cc',1,'tensorwrapper::Tensor::operator==()'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#aa697a6068daaec7c5432142cb8da61ef',1,'tensorwrapper::detail_::TensorPIMPL::operator==()']]], - ['operator_5b_5d_315',['operator[]',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#af3b093b2c085c855b53687304a7565fc',1,'tensorwrapper::symmetry::Permutation']]] + ['object_349',['object',['../classtensorwrapper_1_1dsl_1_1Labeled.html#acb109ff1997c635acef48434c6e55354',1,'tensorwrapper::dsl::Labeled::object() const'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#a88e0bae8d8743a9e9f3f9cbe7c9e4576',1,'tensorwrapper::dsl::Labeled::object()']]], + ['operator_21_3d_350',['operator!=',['../classtensorwrapper_1_1allocator_1_1Eigen.html#aada299517a047e17cf036ae8719e6931',1,'tensorwrapper::allocator::Eigen::operator!=()'],['../classtensorwrapper_1_1Tensor.html#ab063233acba20c6e07f46fb7222e9be3',1,'tensorwrapper::Tensor::operator!=()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a278addd95557f4e5e6994c1d35d61452',1,'tensorwrapper::symmetry::Permutation::operator!=()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a6c935052924a0f12afd9bcca7856b971',1,'tensorwrapper::symmetry::Group::operator!=()'],['../classtensorwrapper_1_1sparsity_1_1Pattern.html#a11dd23cf1150db6098af7ecb4a568df5',1,'tensorwrapper::sparsity::Pattern::operator!=()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#ad30e0c291ef1724aec4af5d57bdbafb2',1,'tensorwrapper::shape::SmoothView::operator!=()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a2a77ec769b1286d4026a3be0cb2dec73',1,'tensorwrapper::shape::Smooth::operator!=()'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a241920da32354167c943e89a4e7bd475',1,'tensorwrapper::layout::LayoutBase::operator!=()'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#a513a19c7ed85d459d4918f1fcf965c65',1,'tensorwrapper::dsl::Labeled::operator!=()'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a890c43e34bdeb510f829c21eab6dd6fa',1,'tensorwrapper::dsl::DummyIndices::operator!=(const_reference s) const'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a94695b94c3a3988445e380e507125bef',1,'tensorwrapper::dsl::DummyIndices::operator!=(const DummyIndices &rhs) const noexcept'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#a2e16947f53a206be4abac5f2bfeaf3cf',1,'tensorwrapper::buffer::Eigen::operator!=()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a489085b5300e738abb341e6277e9c6fa',1,'tensorwrapper::buffer::BufferBase::operator!=()'],['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#ae61cf9ca827269d9c3fc5cd4cf29ea5d',1,'tensorwrapper::allocator::AllocatorBase::operator!=()']]], + ['operator_28_29_351',['operator()',['../classtensorwrapper_1_1detail___1_1DSLBase.html#ab6eb6c7fa85642a8d9458f360c646ba3',1,'tensorwrapper::detail_::DSLBase::operator()(LabelType &&labels)'],['../classtensorwrapper_1_1detail___1_1DSLBase.html#a869ed602bc058cf88a1f17b8e9edaa7b',1,'tensorwrapper::detail_::DSLBase::operator()(LabelType &&labels) const']]], + ['operator_3c_3c_352',['operator<<',['../namespacetensorwrapper_1_1detail__.html#a6a52ed52f9381cb54bd6a1d4f9f3548c',1,'tensorwrapper::detail_']]], + ['operator_3d_353',['operator=',['../classtensorwrapper_1_1buffer_1_1Eigen.html#ab37fe9d7fb8692eeae32e5382d3d5a83',1,'tensorwrapper::buffer::Eigen::operator=()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a00b12aad85b2094f9d34ea6584956a07',1,'tensorwrapper::buffer::BufferBase::operator=()'],['../classtensorwrapper_1_1Tensor.html#aea9cde4c7f75f1ef28728341c580f84c',1,'tensorwrapper::Tensor::operator=(Tensor &&rhs) noexcept'],['../classtensorwrapper_1_1Tensor.html#aef4325a67ec34573a748491c32be7327',1,'tensorwrapper::Tensor::operator=(const Tensor &rhs)'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a0474cb4db720e13dc724b8a111b9f7ba',1,'tensorwrapper::symmetry::Group::operator=(Group &&rhs) noexcept=default'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a98d26cf01052eb923d4f342ac16da9c2',1,'tensorwrapper::symmetry::Group::operator=(const Group &rhs)'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a5c62b93f0495f387f3d427c4abc1da7f',1,'tensorwrapper::shape::SmoothView::operator=()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#af2853117d5e331ab5b8155b970506bee',1,'tensorwrapper::buffer::Eigen::operator=()'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#a8ab1730c75dde506d405e6468a40d533',1,'tensorwrapper::dsl::Labeled::operator=(const Labeled &rhs)'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#a804ffe4f6f3879f1598bb8db31eb1f72',1,'tensorwrapper::dsl::Labeled::operator=(TermType &&other)'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a15851f3b16dbd07d73e7ce0a3a784864',1,'tensorwrapper::shape::SmoothView::operator=()'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#a9c8a38b1a6d4c19ebd3b243350549dfd',1,'tensorwrapper::dsl::Labeled::operator=()']]], + ['operator_3d_3d_354',['operator==',['../classtensorwrapper_1_1shape_1_1Smooth.html#a1c67955bce2b67eaef143a985f601b6c',1,'tensorwrapper::shape::Smooth::operator==()'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#aa697a6068daaec7c5432142cb8da61ef',1,'tensorwrapper::detail_::TensorPIMPL::operator==()'],['../classtensorwrapper_1_1Tensor.html#ad163ce8eb5efbc96fba54a8a557d53cc',1,'tensorwrapper::Tensor::operator==()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#af759ae4f4de56b8a73adc9d4c8297949',1,'tensorwrapper::symmetry::Permutation::operator==()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#aeae67a6f8a2abd7828bc31c864052b79',1,'tensorwrapper::symmetry::Group::operator==()'],['../classtensorwrapper_1_1sparsity_1_1Pattern.html#a41caa3dab4c9e3d359eaf6f4ec1ff2d5',1,'tensorwrapper::sparsity::Pattern::operator==()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a9ae9fd29b801d238bd6ef4567511dd17',1,'tensorwrapper::shape::SmoothView::operator==()'],['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#ac40a821fdb5e566f560a5db3c8cf6b8f',1,'tensorwrapper::allocator::AllocatorBase::operator==()'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#aaf53563c36179c63d04bed88ee3dd106',1,'tensorwrapper::layout::LayoutBase::operator==()'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#ae6fe8c36fe2f39e9cdc2f66eb0678921',1,'tensorwrapper::dsl::Labeled::operator==()'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a409bbb9d96b8b489282d3ad86cff86a2',1,'tensorwrapper::dsl::DummyIndices::operator==(const_reference s) const'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a9828b8ad4ef046cc7b340289b88590b5',1,'tensorwrapper::dsl::DummyIndices::operator==(const DummyIndices &rhs) const noexcept'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#ad337f343a93fb3005933282918e7bed2',1,'tensorwrapper::buffer::Eigen::operator==()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a564962092d430bcc7453d3228bac985d',1,'tensorwrapper::buffer::BufferBase::operator==()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#ace0e6b1a75f977100baec43b52d8c9bb',1,'tensorwrapper::allocator::Eigen::operator==()']]], + ['operator_5b_5d_355',['operator[]',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#af3b093b2c085c855b53687304a7565fc',1,'tensorwrapper::symmetry::Permutation']]] ]; diff --git a/tensorwrapper_cxx_api/search/functions_c.js b/tensorwrapper_cxx_api/search/functions_c.js index cecc2d2f..cb0f0273 100644 --- a/tensorwrapper_cxx_api/search/functions_c.js +++ b/tensorwrapper_cxx_api/search/functions_c.js @@ -1,9 +1,9 @@ var searchData= [ - ['permutation_316',['Permutation',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#ab4dfc305b54a7c956e0d971e341c40d9',1,'tensorwrapper::symmetry::Permutation::Permutation()=default'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#ae9d1b331361bccf146701068cba2ce04',1,'tensorwrapper::symmetry::Permutation::Permutation(cycle_initializer_list il)'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a9940c27607049a403b445e3713f67fdb',1,'tensorwrapper::symmetry::Permutation::Permutation(cycle_type cycle0, Args &&... args)']]], - ['permutation_317',['permutation',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a05338cd83a3d73acefdc630f3a7052ad',1,'tensorwrapper::dsl::DummyIndices']]], - ['permute_318',['permute',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a525e74e8123d4b29d396cb6feb119f92',1,'tensorwrapper::buffer::BufferBase']]], - ['permute_5fassignment_319',['permute_assignment',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a00fb5dfc4457b60ae7947ffe1efc53a8',1,'tensorwrapper::buffer::BufferBase']]], - ['permute_5fassignment_5f_320',['permute_assignment_',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a2589fa26c7583d346504f6359b082ff1',1,'tensorwrapper::buffer::BufferBase::permute_assignment_()'],['../classtensorwrapper_1_1buffer_1_1Eigen.html#a1c44a36ea2508a0f7ec835d28314ca55',1,'tensorwrapper::buffer::Eigen::permute_assignment_()']]], - ['polymorphicbase_321',['PolymorphicBase',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#ab2ed41e0c812d0c07d7a59ef88beacb8',1,'tensorwrapper::detail_::PolymorphicBase::PolymorphicBase() noexcept=default'],['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a6ba66e5906f003079dd4ebe04ed18588',1,'tensorwrapper::detail_::PolymorphicBase::PolymorphicBase(const PolymorphicBase &other)=default']]] + ['pattern_356',['Pattern',['../classtensorwrapper_1_1sparsity_1_1Pattern.html#a07fdb3e93508eb7f2d09f886d6082b60',1,'tensorwrapper::sparsity::Pattern']]], + ['permutation_357',['permutation',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a05338cd83a3d73acefdc630f3a7052ad',1,'tensorwrapper::dsl::DummyIndices']]], + ['permutation_358',['Permutation',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a4169175f126a9a2fedcb1498901ae65f',1,'tensorwrapper::symmetry::Permutation::Permutation(mode_index_type rank=0)'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#ae9d1b331361bccf146701068cba2ce04',1,'tensorwrapper::symmetry::Permutation::Permutation(cycle_initializer_list il)'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a45b691aceaf5f2b587ab50095c5c400f',1,'tensorwrapper::symmetry::Permutation::Permutation(mode_index_type rank, cycle_type cycle0, Args &&... args)']]], + ['permute_5fassignment_359',['permute_assignment',['../classtensorwrapper_1_1detail___1_1DSLBase.html#aa547edda9c9e2a1fc49b6f605ad4e523',1,'tensorwrapper::detail_::DSLBase']]], + ['permute_5fassignment_5f_360',['permute_assignment_',['../classtensorwrapper_1_1detail___1_1DSLBase.html#a008c5821003bdbf9019a88a3281dccfb',1,'tensorwrapper::detail_::DSLBase::permute_assignment_()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#ae504ad4364145c454969210b97170d7a',1,'tensorwrapper::shape::Smooth::permute_assignment_()'],['../classtensorwrapper_1_1sparsity_1_1Pattern.html#a1eb8259dbed55fd36071dc61607a0008',1,'tensorwrapper::sparsity::Pattern::permute_assignment_()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a55685e4fa2965af4de7852c1e2aef403',1,'tensorwrapper::symmetry::Group::permute_assignment_()']]], + ['polymorphicbase_361',['PolymorphicBase',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#ab2ed41e0c812d0c07d7a59ef88beacb8',1,'tensorwrapper::detail_::PolymorphicBase::PolymorphicBase() noexcept=default'],['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a6ba66e5906f003079dd4ebe04ed18588',1,'tensorwrapper::detail_::PolymorphicBase::PolymorphicBase(const PolymorphicBase &other)=default']]] ]; diff --git a/tensorwrapper_cxx_api/search/functions_d.js b/tensorwrapper_cxx_api/search/functions_d.js index 626981f2..f394a87d 100644 --- a/tensorwrapper_cxx_api/search/functions_d.js +++ b/tensorwrapper_cxx_api/search/functions_d.js @@ -1,7 +1,7 @@ var searchData= [ - ['rank_322',['rank',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a1618a29098e0f6f6527de1879aaf9788',1,'tensorwrapper::shape::ShapeBase::rank()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a8e951767e07b859826915b60ef098164',1,'tensorwrapper::shape::SmoothView::rank()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#af465cb6d5598c25b0d6844cdfd683542',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::rank()']]], - ['rank_5f_323',['rank_',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#a966d17c35554198372baac1d7692c030',1,'tensorwrapper::shape::detail_::SmoothAlias::rank_()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a816b1412c6bff33d81e94131b2d6019b',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::rank_()']]], - ['rebind_324',['rebind',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a9be170d19adf5ae4f3008d06b12cf4ce',1,'tensorwrapper::allocator::Eigen::rebind(buffer_base_reference buffer)'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#a9a7b5b668835a7d4bedff6b3578bfe79',1,'tensorwrapper::allocator::Eigen::rebind(const_buffer_base_reference buffer)']]], - ['runtime_325',['runtime',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a100f87f7c9f9a7ec05b2848e231fb52a',1,'tensorwrapper::allocator::AllocatorBase::runtime() noexcept'],['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a9b14e0f48988de02803b4807951e0e74',1,'tensorwrapper::allocator::AllocatorBase::runtime() const noexcept']]] + ['rank_362',['rank',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a1618a29098e0f6f6527de1879aaf9788',1,'tensorwrapper::shape::ShapeBase::rank()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a8e951767e07b859826915b60ef098164',1,'tensorwrapper::shape::SmoothView::rank()'],['../classtensorwrapper_1_1sparsity_1_1Pattern.html#a9d4b950845cd9ec8212ae027d4132e35',1,'tensorwrapper::sparsity::Pattern::rank()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a12604c549c33c0026a434295635dde28',1,'tensorwrapper::symmetry::Group::rank()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#af465cb6d5598c25b0d6844cdfd683542',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::rank()']]], + ['rank_5f_363',['rank_',['../classtensorwrapper_1_1symmetry_1_1Operation.html#a38101fa04fd4902c83ae1fdbab25045a',1,'tensorwrapper::symmetry::Operation::rank_()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a4dff80e73ff8e0dae9d3e3fa13b535e0',1,'tensorwrapper::symmetry::Permutation::rank_()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#a966d17c35554198372baac1d7692c030',1,'tensorwrapper::shape::detail_::SmoothAlias::rank_()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a816b1412c6bff33d81e94131b2d6019b',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::rank_()']]], + ['rebind_364',['rebind',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a9be170d19adf5ae4f3008d06b12cf4ce',1,'tensorwrapper::allocator::Eigen::rebind(buffer_base_reference buffer)'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#a9a7b5b668835a7d4bedff6b3578bfe79',1,'tensorwrapper::allocator::Eigen::rebind(const_buffer_base_reference buffer)']]], + ['runtime_365',['runtime',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a100f87f7c9f9a7ec05b2848e231fb52a',1,'tensorwrapper::allocator::AllocatorBase::runtime() noexcept'],['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a9b14e0f48988de02803b4807951e0e74',1,'tensorwrapper::allocator::AllocatorBase::runtime() const noexcept']]] ]; diff --git a/tensorwrapper_cxx_api/search/functions_e.js b/tensorwrapper_cxx_api/search/functions_e.js index dac8f723..b008f0c3 100644 --- a/tensorwrapper_cxx_api/search/functions_e.js +++ b/tensorwrapper_cxx_api/search/functions_e.js @@ -1,14 +1,18 @@ var searchData= [ - ['shape_326',['shape',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#abd53570f204411c0843dbaf94db8e8bc',1,'tensorwrapper::layout::LayoutBase']]], - ['shapebase_327',['ShapeBase',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#ab3d65ac8a2376f43a2d3cd2673680c30',1,'tensorwrapper::shape::ShapeBase']]], - ['size_328',['size',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#ab19bb1434c3cbfef14a9fccbabcf8f2d',1,'tensorwrapper::shape::ShapeBase::size()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#ae92748899d693c668aba236a18f18f1d',1,'tensorwrapper::shape::SmoothView::size()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a0286ba85caa3a734626dc9fd30049fcd',1,'tensorwrapper::symmetry::Permutation::size()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a8020b9114bce052f365219883b34b975',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::size()']]], - ['size_5f_329',['size_',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#ac9e7f352f1873d8f1b6f19974baa1704',1,'tensorwrapper::dsl::DummyIndices::size_()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#a7b0e28639b1cb2672243ad1bc5943954',1,'tensorwrapper::shape::detail_::SmoothAlias::size_()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#ad096d9458d33e864cb75f8ece2d558a1',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::size_()']]], - ['smooth_330',['Smooth',['../classtensorwrapper_1_1shape_1_1Smooth.html#ac8e62a5c15694d6d5be6f30b88dbf409',1,'tensorwrapper::shape::Smooth::Smooth(std::initializer_list< size_type > il)'],['../classtensorwrapper_1_1shape_1_1Smooth.html#adff2e0a992aab941cb5b40d0ceb482c5',1,'tensorwrapper::shape::Smooth::Smooth(BeginItrType &&begin, EndItrType &&end)']]], - ['smoothalias_331',['SmoothAlias',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#a572a60e47738c2db58703b2c8b9fa762',1,'tensorwrapper::shape::detail_::SmoothAlias']]], - ['smoothview_332',['SmoothView',['../classtensorwrapper_1_1shape_1_1SmoothView.html#aae363bf931ccf150bf336f9334a4c157',1,'tensorwrapper::shape::SmoothView::SmoothView(smooth_reference smooth)'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a18496d0f273c3293c93457a440eafe80',1,'tensorwrapper::shape::SmoothView::SmoothView(SmoothView &&other) noexcept'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a11b7631e60f18d04ebcd981489034e53',1,'tensorwrapper::shape::SmoothView::SmoothView(const SmoothView &other)'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a5e42a9a153c9816283d0dab9c342a544',1,'tensorwrapper::shape::SmoothView::SmoothView(const SmoothView< SmoothType2 > &other)']]], - ['sparsity_333',['sparsity',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a50440d727b8a08cd238a1ea919946b39',1,'tensorwrapper::layout::LayoutBase']]], - ['static_5fpointer_5fcast_334',['static_pointer_cast',['../namespacetensorwrapper_1_1detail__.html#a010ea06c04faf4954a04395948b172d3',1,'tensorwrapper::detail_']]], - ['swap_335',['swap',['../classtensorwrapper_1_1shape_1_1Smooth.html#a262aa155a31f827209fa995497b8c128',1,'tensorwrapper::shape::Smooth::swap()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#adfa9caf3ac4180ff4612bdefac6a5187',1,'tensorwrapper::shape::SmoothView::swap()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a4de17dab88782bfec5b976f59b623771',1,'tensorwrapper::symmetry::Group::swap()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a4b5933bcbf912a9769abf6f071dcb340',1,'tensorwrapper::symmetry::Permutation::swap()'],['../classtensorwrapper_1_1Tensor.html#a47f9907fce0daa1f797f275701f65236',1,'tensorwrapper::Tensor::swap()']]], - ['symmetry_336',['symmetry',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#ac5b8d647b9c144f56f807e804a922ca2',1,'tensorwrapper::layout::LayoutBase']]] + ['scalar_5fmultiplication_366',['scalar_multiplication',['../classtensorwrapper_1_1detail___1_1DSLBase.html#a385f1e0555be7f7a8f64eabb3540a7cb',1,'tensorwrapper::detail_::DSLBase']]], + ['scalar_5fmultiplication_5f_367',['scalar_multiplication_',['../classtensorwrapper_1_1detail___1_1DSLBase.html#a91fea939ae6f36b80c81a919c5d67501',1,'tensorwrapper::detail_::DSLBase']]], + ['shape_368',['shape',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#abd53570f204411c0843dbaf94db8e8bc',1,'tensorwrapper::layout::LayoutBase']]], + ['shapebase_369',['ShapeBase',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#ab3d65ac8a2376f43a2d3cd2673680c30',1,'tensorwrapper::shape::ShapeBase']]], + ['size_370',['size',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#ab19bb1434c3cbfef14a9fccbabcf8f2d',1,'tensorwrapper::shape::ShapeBase::size()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#ae92748899d693c668aba236a18f18f1d',1,'tensorwrapper::shape::SmoothView::size()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a0286ba85caa3a734626dc9fd30049fcd',1,'tensorwrapper::symmetry::Permutation::size()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a8020b9114bce052f365219883b34b975',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::size()']]], + ['size_5f_371',['size_',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#ac9e7f352f1873d8f1b6f19974baa1704',1,'tensorwrapper::dsl::DummyIndices::size_()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#a7b0e28639b1cb2672243ad1bc5943954',1,'tensorwrapper::shape::detail_::SmoothAlias::size_()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#ad096d9458d33e864cb75f8ece2d558a1',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::size_()']]], + ['smooth_372',['Smooth',['../classtensorwrapper_1_1shape_1_1Smooth.html#ac8e62a5c15694d6d5be6f30b88dbf409',1,'tensorwrapper::shape::Smooth::Smooth(std::initializer_list< size_type > il)'],['../classtensorwrapper_1_1shape_1_1Smooth.html#adff2e0a992aab941cb5b40d0ceb482c5',1,'tensorwrapper::shape::Smooth::Smooth(BeginItrType &&begin, EndItrType &&end)']]], + ['smoothalias_373',['SmoothAlias',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#a572a60e47738c2db58703b2c8b9fa762',1,'tensorwrapper::shape::detail_::SmoothAlias']]], + ['smoothview_374',['SmoothView',['../classtensorwrapper_1_1shape_1_1SmoothView.html#a5e42a9a153c9816283d0dab9c342a544',1,'tensorwrapper::shape::SmoothView::SmoothView(const SmoothView< SmoothType2 > &other)'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a18496d0f273c3293c93457a440eafe80',1,'tensorwrapper::shape::SmoothView::SmoothView(SmoothView &&other) noexcept'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#a11b7631e60f18d04ebcd981489034e53',1,'tensorwrapper::shape::SmoothView::SmoothView(const SmoothView &other)'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#aae363bf931ccf150bf336f9334a4c157',1,'tensorwrapper::shape::SmoothView::SmoothView(smooth_reference smooth)']]], + ['sparsity_375',['sparsity',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a50440d727b8a08cd238a1ea919946b39',1,'tensorwrapper::layout::LayoutBase']]], + ['static_5fpointer_5fcast_376',['static_pointer_cast',['../namespacetensorwrapper_1_1detail__.html#a010ea06c04faf4954a04395948b172d3',1,'tensorwrapper::detail_']]], + ['subtraction_5fassignment_377',['subtraction_assignment',['../classtensorwrapper_1_1detail___1_1DSLBase.html#a8428c120176049e398ac8ba60034b3fd',1,'tensorwrapper::detail_::DSLBase']]], + ['subtraction_5fassignment_5f_378',['subtraction_assignment_',['../classtensorwrapper_1_1detail___1_1DSLBase.html#a9bcbb63e5d75306c054ae774f831049c',1,'tensorwrapper::detail_::DSLBase::subtraction_assignment_()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a2910f063d2daf520fccace249848d798',1,'tensorwrapper::shape::Smooth::subtraction_assignment_()'],['../classtensorwrapper_1_1sparsity_1_1Pattern.html#a2d02765fa54ed7bd13605e4b969df7da',1,'tensorwrapper::sparsity::Pattern::subtraction_assignment_()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#ac474a5d7d9a8ac583a2ae1219c09d9ca',1,'tensorwrapper::symmetry::Group::subtraction_assignment_()']]], + ['swap_379',['swap',['../classtensorwrapper_1_1shape_1_1Smooth.html#a262aa155a31f827209fa995497b8c128',1,'tensorwrapper::shape::Smooth::swap()'],['../classtensorwrapper_1_1shape_1_1SmoothView.html#adfa9caf3ac4180ff4612bdefac6a5187',1,'tensorwrapper::shape::SmoothView::swap()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a4de17dab88782bfec5b976f59b623771',1,'tensorwrapper::symmetry::Group::swap()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a4b5933bcbf912a9769abf6f071dcb340',1,'tensorwrapper::symmetry::Permutation::swap()'],['../classtensorwrapper_1_1Tensor.html#a47f9907fce0daa1f797f275701f65236',1,'tensorwrapper::Tensor::swap()']]], + ['symmetry_380',['symmetry',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#ac5b8d647b9c144f56f807e804a922ca2',1,'tensorwrapper::layout::LayoutBase']]] ]; diff --git a/tensorwrapper_cxx_api/search/functions_f.js b/tensorwrapper_cxx_api/search/functions_f.js index 6ff0f0c9..bb06a90c 100644 --- a/tensorwrapper_cxx_api/search/functions_f.js +++ b/tensorwrapper_cxx_api/search/functions_f.js @@ -1,8 +1,8 @@ var searchData= [ - ['tensor_337',['Tensor',['../classtensorwrapper_1_1Tensor.html#ad1e68d6937d1df0a3dc868096184d8bc',1,'tensorwrapper::Tensor::Tensor(input_type input)'],['../classtensorwrapper_1_1Tensor.html#a45966a20a0c7dd0b0ef96314ad1ab42d',1,'tensorwrapper::Tensor::Tensor(Args &&... args)'],['../classtensorwrapper_1_1Tensor.html#abce1ee61e8a582fca8d457999a493eb9',1,'tensorwrapper::Tensor::Tensor(scalar_il_type il)'],['../classtensorwrapper_1_1Tensor.html#a8fb700692f2fa743a68734c440be08f9',1,'tensorwrapper::Tensor::Tensor(const Tensor &other)'],['../classtensorwrapper_1_1Tensor.html#a278149eaa7b86551d4b3a81ef2c5876b',1,'tensorwrapper::Tensor::Tensor(Tensor &&other) noexcept']]], - ['tensorinput_338',['TensorInput',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a2dfa12ca41726a89840a65bbc2333917',1,'tensorwrapper::detail_::TensorInput']]], - ['tensorpimpl_339',['TensorPIMPL',['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#a61996e65e2affb60bb753e31eeed2e4a',1,'tensorwrapper::detail_::TensorPIMPL::TensorPIMPL(logical_layout_pointer plogical, buffer_pointer pbuffer)'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#a657cdd37beb6d14a7a9df6043007cf33',1,'tensorwrapper::detail_::TensorPIMPL::TensorPIMPL(const TensorPIMPL &other)']]], - ['to_5fstring_340',['to_string',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a299d66e878f901448a77207902096c85',1,'tensorwrapper::detail_::PolymorphicBase']]], - ['to_5fstring_5f_341',['to_string_',['../classtensorwrapper_1_1buffer_1_1Eigen.html#a1d58e8e57b18b6c4b2fcceb711bac62a',1,'tensorwrapper::buffer::Eigen']]] + ['tensor_381',['Tensor',['../classtensorwrapper_1_1Tensor.html#ad1e68d6937d1df0a3dc868096184d8bc',1,'tensorwrapper::Tensor::Tensor(input_type input)'],['../classtensorwrapper_1_1Tensor.html#a45966a20a0c7dd0b0ef96314ad1ab42d',1,'tensorwrapper::Tensor::Tensor(Args &&... args)'],['../classtensorwrapper_1_1Tensor.html#abce1ee61e8a582fca8d457999a493eb9',1,'tensorwrapper::Tensor::Tensor(scalar_il_type il)'],['../classtensorwrapper_1_1Tensor.html#a8fb700692f2fa743a68734c440be08f9',1,'tensorwrapper::Tensor::Tensor(const Tensor &other)'],['../classtensorwrapper_1_1Tensor.html#a278149eaa7b86551d4b3a81ef2c5876b',1,'tensorwrapper::Tensor::Tensor(Tensor &&other) noexcept']]], + ['tensorinput_382',['TensorInput',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a2dfa12ca41726a89840a65bbc2333917',1,'tensorwrapper::detail_::TensorInput']]], + ['tensorpimpl_383',['TensorPIMPL',['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#a61996e65e2affb60bb753e31eeed2e4a',1,'tensorwrapper::detail_::TensorPIMPL::TensorPIMPL(logical_layout_pointer plogical, buffer_pointer pbuffer)'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#a657cdd37beb6d14a7a9df6043007cf33',1,'tensorwrapper::detail_::TensorPIMPL::TensorPIMPL(const TensorPIMPL &other)']]], + ['to_5fstring_384',['to_string',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a299d66e878f901448a77207902096c85',1,'tensorwrapper::detail_::PolymorphicBase']]], + ['to_5fstring_5f_385',['to_string_',['../classtensorwrapper_1_1buffer_1_1Eigen.html#a1d58e8e57b18b6c4b2fcceb711bac62a',1,'tensorwrapper::buffer::Eigen::to_string_()'],['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a75d7ed3d4cedc67950be4b532db2516e',1,'tensorwrapper::detail_::PolymorphicBase::to_string_()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#ab48d11a79243f77e4f03748f61eb4ca7',1,'tensorwrapper::shape::Smooth::to_string_()']]] ]; diff --git a/tensorwrapper_cxx_api/search/namespaces_0.js b/tensorwrapper_cxx_api/search/namespaces_0.js index 9266511c..b50837b8 100644 --- a/tensorwrapper_cxx_api/search/namespaces_0.js +++ b/tensorwrapper_cxx_api/search/namespaces_0.js @@ -1,11 +1,11 @@ var searchData= [ - ['allocator_252',['allocator',['../namespacetensorwrapper_1_1allocator.html',1,'tensorwrapper']]], - ['buffer_253',['buffer',['../namespacetensorwrapper_1_1buffer.html',1,'tensorwrapper']]], - ['detail_5f_254',['detail_',['../namespacetensorwrapper_1_1detail__.html',1,'tensorwrapper']]], - ['layout_255',['layout',['../namespacetensorwrapper_1_1layout.html',1,'tensorwrapper']]], - ['shape_256',['shape',['../namespacetensorwrapper_1_1shape.html',1,'tensorwrapper']]], - ['sparsity_257',['sparsity',['../namespacetensorwrapper_1_1sparsity.html',1,'tensorwrapper']]], - ['symmetry_258',['symmetry',['../namespacetensorwrapper_1_1symmetry.html',1,'tensorwrapper']]], - ['tensorwrapper_259',['tensorwrapper',['../namespacetensorwrapper.html',1,'']]] + ['allocator_285',['allocator',['../namespacetensorwrapper_1_1allocator.html',1,'tensorwrapper']]], + ['buffer_286',['buffer',['../namespacetensorwrapper_1_1buffer.html',1,'tensorwrapper']]], + ['detail_5f_287',['detail_',['../namespacetensorwrapper_1_1detail__.html',1,'tensorwrapper']]], + ['layout_288',['layout',['../namespacetensorwrapper_1_1layout.html',1,'tensorwrapper']]], + ['shape_289',['shape',['../namespacetensorwrapper_1_1shape.html',1,'tensorwrapper']]], + ['sparsity_290',['sparsity',['../namespacetensorwrapper_1_1sparsity.html',1,'tensorwrapper']]], + ['symmetry_291',['symmetry',['../namespacetensorwrapper_1_1symmetry.html',1,'tensorwrapper']]], + ['tensorwrapper_292',['tensorwrapper',['../namespacetensorwrapper.html',1,'']]] ]; diff --git a/tensorwrapper_cxx_api/search/related_0.js b/tensorwrapper_cxx_api/search/related_0.js index 5594e33f..6dff7f3a 100644 --- a/tensorwrapper_cxx_api/search/related_0.js +++ b/tensorwrapper_cxx_api/search/related_0.js @@ -1,4 +1,4 @@ var searchData= [ - ['smoothview_442',['SmoothView',['../classtensorwrapper_1_1shape_1_1SmoothView.html#a52247e682e13bb6b366c7498747c09f7',1,'tensorwrapper::shape::SmoothView']]] + ['smoothview_495',['SmoothView',['../classtensorwrapper_1_1shape_1_1SmoothView.html#a52247e682e13bb6b366c7498747c09f7',1,'tensorwrapper::shape::SmoothView']]] ]; diff --git a/tensorwrapper_cxx_api/search/searchdata.js b/tensorwrapper_cxx_api/search/searchdata.js index 7565f38a..66ad817c 100644 --- a/tensorwrapper_cxx_api/search/searchdata.js +++ b/tensorwrapper_cxx_api/search/searchdata.js @@ -3,10 +3,11 @@ var indexSectionsWithContent = 0: "abcdefghilmoprstuv~", 1: "abdegiloprst", 2: "t", - 3: "abcdefghilmoprstuv~", - 4: "bi", - 5: "abcdeilmoprstv", - 6: "s" + 3: "d", + 4: "abcdefghilmoprstuv~", + 5: "bi", + 6: "abcdeilmoprstv", + 7: "s" }; var indexSectionNames = @@ -14,10 +15,11 @@ var indexSectionNames = 0: "all", 1: "classes", 2: "namespaces", - 3: "functions", - 4: "variables", - 5: "typedefs", - 6: "related" + 3: "files", + 4: "functions", + 5: "variables", + 6: "typedefs", + 7: "related" }; var indexSectionLabels = @@ -25,9 +27,10 @@ var indexSectionLabels = 0: "All", 1: "Classes", 2: "Namespaces", - 3: "Functions", - 4: "Variables", - 5: "Typedefs", - 6: "Friends" + 3: "Files", + 4: "Functions", + 5: "Variables", + 6: "Typedefs", + 7: "Friends" }; diff --git a/tensorwrapper_cxx_api/search/typedefs_0.js b/tensorwrapper_cxx_api/search/typedefs_0.js index 1831d7ae..bf42b368 100644 --- a/tensorwrapper_cxx_api/search/typedefs_0.js +++ b/tensorwrapper_cxx_api/search/typedefs_0.js @@ -1,5 +1,5 @@ var searchData= [ - ['allocator_5fbase_353',['allocator_base',['../structtensorwrapper_1_1detail___1_1TensorInput.html#aac944677287e1537e88b287388423df6',1,'tensorwrapper::detail_::TensorInput']]], - ['allocator_5fpointer_354',['allocator_pointer',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a3d1c2bdf9391585e8bba1362755b4762',1,'tensorwrapper::detail_::TensorInput']]] + ['allocator_5fbase_398',['allocator_base',['../structtensorwrapper_1_1detail___1_1TensorInput.html#aac944677287e1537e88b287388423df6',1,'tensorwrapper::detail_::TensorInput']]], + ['allocator_5fpointer_399',['allocator_pointer',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a3d1c2bdf9391585e8bba1362755b4762',1,'tensorwrapper::detail_::TensorInput']]] ]; diff --git a/tensorwrapper_cxx_api/search/typedefs_1.js b/tensorwrapper_cxx_api/search/typedefs_1.js index 4c95d8cd..00d21f74 100644 --- a/tensorwrapper_cxx_api/search/typedefs_1.js +++ b/tensorwrapper_cxx_api/search/typedefs_1.js @@ -1,12 +1,13 @@ var searchData= [ - ['base_5fpointer_355',['base_pointer',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a3acd75602fbd3d68f3578528cd5b211a',1,'tensorwrapper::shape::ShapeBase::base_pointer()'],['../classtensorwrapper_1_1symmetry_1_1Operation.html#add0f9ec9c6e2118d3052b0ce41535be0',1,'tensorwrapper::symmetry::Operation::base_pointer()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#a5623524f9de386896bc7600f78d0250e',1,'tensorwrapper::allocator::Eigen::base_pointer()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#add0f9ec9c6e2118d3052b0ce41535be0',1,'tensorwrapper::symmetry::Permutation::base_pointer()'],['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a5623524f9de386896bc7600f78d0250e',1,'tensorwrapper::detail_::PolymorphicBase::base_pointer()']]], - ['base_5freference_356',['base_reference',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a4d4cdbec8c20631c3bf9caf684f0fe1c',1,'tensorwrapper::detail_::PolymorphicBase::base_reference()'],['../classtensorwrapper_1_1symmetry_1_1Operation.html#a3cf6b4c5be221c6ea5726bcef593fffb',1,'tensorwrapper::symmetry::Operation::base_reference()']]], - ['base_5ftype_357',['base_type',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a7e74500695d4b9ef7768743fe6c1e29b',1,'tensorwrapper::detail_::PolymorphicBase::base_type()'],['../classtensorwrapper_1_1symmetry_1_1Operation.html#add7759842e3346aa6491e5efe37dc8f7',1,'tensorwrapper::symmetry::Operation::base_type()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#ae7bd4bc2f38151899b1377f136ac0136',1,'tensorwrapper::shape::detail_::SmoothAlias::base_type()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#add7759842e3346aa6491e5efe37dc8f7',1,'tensorwrapper::symmetry::Permutation::base_type()']]], - ['buffer_5fbase_358',['buffer_base',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a8548d040e6a32939c31eace60fad8915',1,'tensorwrapper::detail_::TensorInput']]], - ['buffer_5fbase_5fpointer_359',['buffer_base_pointer',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a3609509b339a0cc576a78aac85f80310',1,'tensorwrapper::allocator::AllocatorBase::buffer_base_pointer()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a04f86f7d4637da25f0ece78f3500d870',1,'tensorwrapper::buffer::BufferBase::buffer_base_pointer()']]], - ['buffer_5fbase_5freference_360',['buffer_base_reference',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a45306886722d9291a6da60415f84d3b2',1,'tensorwrapper::allocator::AllocatorBase::buffer_base_reference()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a07cb4b81e0a486e6bc04a6b1d43b8093',1,'tensorwrapper::buffer::BufferBase::buffer_base_reference()']]], - ['buffer_5fbase_5ftype_361',['buffer_base_type',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a560c19cee3f996c44052fb5cac954183',1,'tensorwrapper::allocator::AllocatorBase::buffer_base_type()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#aade794422a9ac2b7a92f0884e8b2b922',1,'tensorwrapper::buffer::BufferBase::buffer_base_type()']]], - ['buffer_5fpointer_362',['buffer_pointer',['../structtensorwrapper_1_1detail___1_1TensorInput.html#aaea587da44957ed1348f1f54c534a27c',1,'tensorwrapper::detail_::TensorInput::buffer_pointer()'],['../classtensorwrapper_1_1Tensor.html#a8bb33f6b728ebcefdeb05c9da8aab71f',1,'tensorwrapper::Tensor::buffer_pointer()']]], - ['buffer_5freference_363',['buffer_reference',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a9eda2e42631e21ffac3f45f309e014bc',1,'tensorwrapper::detail_::TensorInput::buffer_reference()'],['../classtensorwrapper_1_1Tensor.html#a39c4e82268f2b91f0e8d6034830cf52a',1,'tensorwrapper::Tensor::buffer_reference()']]] + ['base_5fpointer_400',['base_pointer',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a3acd75602fbd3d68f3578528cd5b211a',1,'tensorwrapper::shape::ShapeBase::base_pointer()'],['../classtensorwrapper_1_1symmetry_1_1Operation.html#add0f9ec9c6e2118d3052b0ce41535be0',1,'tensorwrapper::symmetry::Operation::base_pointer()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#a5623524f9de386896bc7600f78d0250e',1,'tensorwrapper::allocator::Eigen::base_pointer()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#add0f9ec9c6e2118d3052b0ce41535be0',1,'tensorwrapper::symmetry::Permutation::base_pointer()'],['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a5623524f9de386896bc7600f78d0250e',1,'tensorwrapper::detail_::PolymorphicBase::base_pointer()']]], + ['base_5freference_401',['base_reference',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a4d4cdbec8c20631c3bf9caf684f0fe1c',1,'tensorwrapper::detail_::PolymorphicBase::base_reference()'],['../classtensorwrapper_1_1symmetry_1_1Operation.html#a3cf6b4c5be221c6ea5726bcef593fffb',1,'tensorwrapper::symmetry::Operation::base_reference()']]], + ['base_5frvalue_402',['base_rvalue',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a808afdcccc21b8ad1a6e4a8ee2296ae1',1,'tensorwrapper::detail_::PolymorphicBase']]], + ['base_5ftype_403',['base_type',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#add7759842e3346aa6491e5efe37dc8f7',1,'tensorwrapper::symmetry::Permutation::base_type()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#ae7bd4bc2f38151899b1377f136ac0136',1,'tensorwrapper::shape::detail_::SmoothAlias::base_type()'],['../classtensorwrapper_1_1symmetry_1_1Operation.html#add7759842e3346aa6491e5efe37dc8f7',1,'tensorwrapper::symmetry::Operation::base_type()'],['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a7e74500695d4b9ef7768743fe6c1e29b',1,'tensorwrapper::detail_::PolymorphicBase::base_type()']]], + ['buffer_5fbase_404',['buffer_base',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a8548d040e6a32939c31eace60fad8915',1,'tensorwrapper::detail_::TensorInput']]], + ['buffer_5fbase_5fpointer_405',['buffer_base_pointer',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a3609509b339a0cc576a78aac85f80310',1,'tensorwrapper::allocator::AllocatorBase::buffer_base_pointer()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a04f86f7d4637da25f0ece78f3500d870',1,'tensorwrapper::buffer::BufferBase::buffer_base_pointer()']]], + ['buffer_5fbase_5freference_406',['buffer_base_reference',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a45306886722d9291a6da60415f84d3b2',1,'tensorwrapper::allocator::AllocatorBase::buffer_base_reference()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a07cb4b81e0a486e6bc04a6b1d43b8093',1,'tensorwrapper::buffer::BufferBase::buffer_base_reference()']]], + ['buffer_5fbase_5ftype_407',['buffer_base_type',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a560c19cee3f996c44052fb5cac954183',1,'tensorwrapper::allocator::AllocatorBase::buffer_base_type()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#aade794422a9ac2b7a92f0884e8b2b922',1,'tensorwrapper::buffer::BufferBase::buffer_base_type()']]], + ['buffer_5fpointer_408',['buffer_pointer',['../structtensorwrapper_1_1detail___1_1TensorInput.html#aaea587da44957ed1348f1f54c534a27c',1,'tensorwrapper::detail_::TensorInput::buffer_pointer()'],['../classtensorwrapper_1_1Tensor.html#a8bb33f6b728ebcefdeb05c9da8aab71f',1,'tensorwrapper::Tensor::buffer_pointer()']]], + ['buffer_5freference_409',['buffer_reference',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a9eda2e42631e21ffac3f45f309e014bc',1,'tensorwrapper::detail_::TensorInput::buffer_reference()'],['../classtensorwrapper_1_1Tensor.html#a39c4e82268f2b91f0e8d6034830cf52a',1,'tensorwrapper::Tensor::buffer_reference()']]] ]; diff --git a/tensorwrapper_cxx_api/search/typedefs_2.js b/tensorwrapper_cxx_api/search/typedefs_2.js index f05661b7..4811be28 100644 --- a/tensorwrapper_cxx_api/search/typedefs_2.js +++ b/tensorwrapper_cxx_api/search/typedefs_2.js @@ -1,29 +1,29 @@ var searchData= [ - ['const_5fallocator_5freference_364',['const_allocator_reference',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a3410637a84157c16f3de59010c53c610',1,'tensorwrapper::detail_::TensorInput']]], - ['const_5fbase_5fpointer_365',['const_base_pointer',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a49c3855ca63ff779fd2ed214510057c8',1,'tensorwrapper::detail_::PolymorphicBase']]], - ['const_5fbase_5freference_366',['const_base_reference',['../classtensorwrapper_1_1symmetry_1_1Operation.html#ad0a9253de785e23aa03b18c31734123f',1,'tensorwrapper::symmetry::Operation::const_base_reference()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a13df5d90978bf52590d582e9c7aba760',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::const_base_reference()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#a4d3ea0c25ad674f9796b74e2fe62a818',1,'tensorwrapper::allocator::Eigen::const_base_reference()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#ad0a9253de785e23aa03b18c31734123f',1,'tensorwrapper::symmetry::Permutation::const_base_reference()'],['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a4d3ea0c25ad674f9796b74e2fe62a818',1,'tensorwrapper::detail_::PolymorphicBase::const_base_reference()']]], - ['const_5fbuffer_5fbase_5fpointer_367',['const_buffer_base_pointer',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a0221dda49239d464ef7b58c6626ed18b',1,'tensorwrapper::buffer::BufferBase']]], - ['const_5fbuffer_5fbase_5freference_368',['const_buffer_base_reference',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a883ffaa9c2524f980d4b9bf083d9ace3',1,'tensorwrapper::allocator::AllocatorBase::const_buffer_base_reference()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a19048eb3d8498ec41f826dac7a5f4803',1,'tensorwrapper::buffer::BufferBase::const_buffer_base_reference()']]], - ['const_5fbuffer_5fpointer_369',['const_buffer_pointer',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a5a79f1c9c540e48097c66e1b8265fb0e',1,'tensorwrapper::detail_::TensorInput::const_buffer_pointer()'],['../classtensorwrapper_1_1Tensor.html#a18c9c4f79c37305d246e52cd5e43dda9',1,'tensorwrapper::Tensor::const_buffer_pointer()']]], - ['const_5fbuffer_5freference_370',['const_buffer_reference',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a6f1195780127ca59beb5ffde9f9796d1',1,'tensorwrapper::detail_::TensorInput::const_buffer_reference()'],['../classtensorwrapper_1_1Tensor.html#a3837f8a61174ecf23a5be4917269a50c',1,'tensorwrapper::Tensor::const_buffer_reference()']]], - ['const_5fdata_5freference_371',['const_data_reference',['../classtensorwrapper_1_1buffer_1_1Eigen.html#ab5136acadfeeeb2ab61b3b7f42f997aa',1,'tensorwrapper::buffer::Eigen']]], - ['const_5feigen_5fbuffer_5freference_372',['const_eigen_buffer_reference',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a65e484532a6d628e36f603aeb724266f',1,'tensorwrapper::allocator::Eigen']]], - ['const_5feigen_5flayout_5freference_373',['const_eigen_layout_reference',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a8a075c781dfc1d2eb234fb6ebe6695d3',1,'tensorwrapper::allocator::Eigen']]], - ['const_5flabel_5freference_374',['const_label_reference',['../classtensorwrapper_1_1Tensor.html#a1281f1d61e3b18595be65b7c4b2ba3c4',1,'tensorwrapper::Tensor']]], - ['const_5flabeled_5fbuffer_5freference_375',['const_labeled_buffer_reference',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#acf8920ddd75abce1a320421a72fc6ad2',1,'tensorwrapper::buffer::BufferBase']]], - ['const_5flabeled_5ftensor_5ftype_376',['const_labeled_tensor_type',['../classtensorwrapper_1_1Tensor.html#a285466a710320a14769271c0cd5704d1',1,'tensorwrapper::Tensor']]], - ['const_5flayout_5freference_377',['const_layout_reference',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a9f1c648e0258595f1ff3fb731da2db0b',1,'tensorwrapper::buffer::BufferBase::const_layout_reference()'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#ab1df8fa48c499f1f3a23278bc51199ce',1,'tensorwrapper::layout::LayoutBase::const_layout_reference()']]], - ['const_5flogical_5freference_378',['const_logical_reference',['../classtensorwrapper_1_1Tensor.html#ab9f0826cf3a1b0b2241c728ecdf0ae84',1,'tensorwrapper::Tensor::const_logical_reference()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#a68c18d210e3f26d574fb76b477189945',1,'tensorwrapper::detail_::TensorInput::const_logical_reference()']]], - ['const_5fphysical_5freference_379',['const_physical_reference',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a2939acd15d8580ae2d0d5b3dc73c2b40',1,'tensorwrapper::detail_::TensorInput']]], - ['const_5freference_380',['const_reference',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#ac450f900ed5b1686a5b48e3bb03d564c',1,'tensorwrapper::dsl::DummyIndices::const_reference()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#aefd312766bfafcb1c13b03c6370e5666',1,'tensorwrapper::symmetry::Group::const_reference()']]], - ['const_5fruntime_5fview_5freference_381',['const_runtime_view_reference',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a21bd3e0eb647e7f815ac22935195aad2',1,'tensorwrapper::allocator::AllocatorBase']]], - ['const_5fshape_5freference_382',['const_shape_reference',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#ae83b92c51b81330c984fe5381dbf6602',1,'tensorwrapper::layout::LayoutBase::const_shape_reference()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#af60941db8321bbbe81ab6e6164f91335',1,'tensorwrapper::detail_::TensorInput::const_shape_reference()'],['../classtensorwrapper_1_1layout_1_1Logical.html#ae83b92c51b81330c984fe5381dbf6602',1,'tensorwrapper::layout::Logical::const_shape_reference()'],['../classtensorwrapper_1_1layout_1_1Physical.html#ae83b92c51b81330c984fe5381dbf6602',1,'tensorwrapper::layout::Physical::const_shape_reference()']]], - ['const_5fsmooth_5freference_383',['const_smooth_reference',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a36d6f6490ad9a01b06e4dfbff6f423dc',1,'tensorwrapper::shape::ShapeBase']]], - ['const_5fsmooth_5fview_5fpimpl_5fpointer_384',['const_smooth_view_pimpl_pointer',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#a6cb862859ac1393933cf7da11cbab135',1,'tensorwrapper::shape::detail_::SmoothAlias::const_smooth_view_pimpl_pointer()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a6cb862859ac1393933cf7da11cbab135',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::const_smooth_view_pimpl_pointer()']]], - ['const_5fsparsity_5freference_385',['const_sparsity_reference',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a5b77efc3d60217888dec97e6db11683e',1,'tensorwrapper::layout::LayoutBase::const_sparsity_reference()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#afd4a276abd7d81365fb3091e031661bb',1,'tensorwrapper::detail_::TensorInput::const_sparsity_reference()'],['../classtensorwrapper_1_1layout_1_1Logical.html#a5b77efc3d60217888dec97e6db11683e',1,'tensorwrapper::layout::Logical::const_sparsity_reference()'],['../classtensorwrapper_1_1layout_1_1Physical.html#a5b77efc3d60217888dec97e6db11683e',1,'tensorwrapper::layout::Physical::const_sparsity_reference()']]], - ['const_5fsymmetry_5freference_386',['const_symmetry_reference',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a3dd01567774d686d74cf503578af0dbd',1,'tensorwrapper::layout::LayoutBase::const_symmetry_reference()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#a37b18284f408e75e37c5baaee6b86a8f',1,'tensorwrapper::detail_::TensorInput::const_symmetry_reference()'],['../classtensorwrapper_1_1layout_1_1Logical.html#a3dd01567774d686d74cf503578af0dbd',1,'tensorwrapper::layout::Logical::const_symmetry_reference()'],['../classtensorwrapper_1_1layout_1_1Physical.html#a3dd01567774d686d74cf503578af0dbd',1,'tensorwrapper::layout::Physical::const_symmetry_reference()']]], - ['cycle_5finitializer_5flist_387',['cycle_initializer_list',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#ac2ff36ee8fa1503dd5b8f78e7e560b62',1,'tensorwrapper::symmetry::Permutation']]], - ['cycle_5fset_5finitializer_5flist_388',['cycle_set_initializer_list',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a07204707171f12e9f40bab6537382cd7',1,'tensorwrapper::symmetry::Permutation']]], - ['cycle_5ftype_389',['cycle_type',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a76e68d757e4ac71f37bccd72f1ce64c3',1,'tensorwrapper::symmetry::Permutation']]] + ['const_5fallocator_5freference_410',['const_allocator_reference',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a3410637a84157c16f3de59010c53c610',1,'tensorwrapper::detail_::TensorInput']]], + ['const_5fbase_5fpointer_411',['const_base_pointer',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a49c3855ca63ff779fd2ed214510057c8',1,'tensorwrapper::detail_::PolymorphicBase']]], + ['const_5fbase_5freference_412',['const_base_reference',['../classtensorwrapper_1_1symmetry_1_1Operation.html#ad0a9253de785e23aa03b18c31734123f',1,'tensorwrapper::symmetry::Operation::const_base_reference()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a13df5d90978bf52590d582e9c7aba760',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::const_base_reference()'],['../classtensorwrapper_1_1allocator_1_1Eigen.html#a4d3ea0c25ad674f9796b74e2fe62a818',1,'tensorwrapper::allocator::Eigen::const_base_reference()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#ad0a9253de785e23aa03b18c31734123f',1,'tensorwrapper::symmetry::Permutation::const_base_reference()'],['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#a4d3ea0c25ad674f9796b74e2fe62a818',1,'tensorwrapper::detail_::PolymorphicBase::const_base_reference()']]], + ['const_5fbuffer_5fbase_5fpointer_413',['const_buffer_base_pointer',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a0221dda49239d464ef7b58c6626ed18b',1,'tensorwrapper::buffer::BufferBase']]], + ['const_5fbuffer_5fbase_5freference_414',['const_buffer_base_reference',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a883ffaa9c2524f980d4b9bf083d9ace3',1,'tensorwrapper::allocator::AllocatorBase::const_buffer_base_reference()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a19048eb3d8498ec41f826dac7a5f4803',1,'tensorwrapper::buffer::BufferBase::const_buffer_base_reference()']]], + ['const_5fbuffer_5fpointer_415',['const_buffer_pointer',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a5a79f1c9c540e48097c66e1b8265fb0e',1,'tensorwrapper::detail_::TensorInput::const_buffer_pointer()'],['../classtensorwrapper_1_1Tensor.html#a18c9c4f79c37305d246e52cd5e43dda9',1,'tensorwrapper::Tensor::const_buffer_pointer()']]], + ['const_5fbuffer_5freference_416',['const_buffer_reference',['../classtensorwrapper_1_1Tensor.html#a3837f8a61174ecf23a5be4917269a50c',1,'tensorwrapper::Tensor::const_buffer_reference()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#a6f1195780127ca59beb5ffde9f9796d1',1,'tensorwrapper::detail_::TensorInput::const_buffer_reference()']]], + ['const_5fdata_5freference_417',['const_data_reference',['../classtensorwrapper_1_1buffer_1_1Eigen.html#ab5136acadfeeeb2ab61b3b7f42f997aa',1,'tensorwrapper::buffer::Eigen']]], + ['const_5feigen_5fbuffer_5freference_418',['const_eigen_buffer_reference',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a65e484532a6d628e36f603aeb724266f',1,'tensorwrapper::allocator::Eigen']]], + ['const_5feigen_5flayout_5freference_419',['const_eigen_layout_reference',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a8a075c781dfc1d2eb234fb6ebe6695d3',1,'tensorwrapper::allocator::Eigen']]], + ['const_5flabel_5freference_420',['const_label_reference',['../classtensorwrapper_1_1dsl_1_1Labeled.html#aabcbcb1c8799a8edbfeaecb347f0adca',1,'tensorwrapper::dsl::Labeled']]], + ['const_5flabeled_5freference_421',['const_labeled_reference',['../classtensorwrapper_1_1detail___1_1DSLBase.html#af81286387b2df29588b36bf10a073048',1,'tensorwrapper::detail_::DSLBase']]], + ['const_5flayout_5freference_422',['const_layout_reference',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a9f1c648e0258595f1ff3fb731da2db0b',1,'tensorwrapper::buffer::BufferBase::const_layout_reference()'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#ab1df8fa48c499f1f3a23278bc51199ce',1,'tensorwrapper::layout::LayoutBase::const_layout_reference()']]], + ['const_5flogical_5freference_423',['const_logical_reference',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a68c18d210e3f26d574fb76b477189945',1,'tensorwrapper::detail_::TensorInput::const_logical_reference()'],['../classtensorwrapper_1_1Tensor.html#ab9f0826cf3a1b0b2241c728ecdf0ae84',1,'tensorwrapper::Tensor::const_logical_reference()']]], + ['const_5fobject_5freference_424',['const_object_reference',['../classtensorwrapper_1_1dsl_1_1Labeled.html#a2787c22b108f45a90146e59c7b1fc31d',1,'tensorwrapper::dsl::Labeled']]], + ['const_5fphysical_5freference_425',['const_physical_reference',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a2939acd15d8580ae2d0d5b3dc73c2b40',1,'tensorwrapper::detail_::TensorInput']]], + ['const_5freference_426',['const_reference',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#ac450f900ed5b1686a5b48e3bb03d564c',1,'tensorwrapper::dsl::DummyIndices::const_reference()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#aefd312766bfafcb1c13b03c6370e5666',1,'tensorwrapper::symmetry::Group::const_reference()']]], + ['const_5fruntime_5fview_5freference_427',['const_runtime_view_reference',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a21bd3e0eb647e7f815ac22935195aad2',1,'tensorwrapper::allocator::AllocatorBase']]], + ['const_5fshape_5freference_428',['const_shape_reference',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#ae83b92c51b81330c984fe5381dbf6602',1,'tensorwrapper::layout::LayoutBase::const_shape_reference()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#af60941db8321bbbe81ab6e6164f91335',1,'tensorwrapper::detail_::TensorInput::const_shape_reference()'],['../classtensorwrapper_1_1layout_1_1Logical.html#ae83b92c51b81330c984fe5381dbf6602',1,'tensorwrapper::layout::Logical::const_shape_reference()'],['../classtensorwrapper_1_1layout_1_1Physical.html#ae83b92c51b81330c984fe5381dbf6602',1,'tensorwrapper::layout::Physical::const_shape_reference()']]], + ['const_5fsmooth_5freference_429',['const_smooth_reference',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a36d6f6490ad9a01b06e4dfbff6f423dc',1,'tensorwrapper::shape::ShapeBase']]], + ['const_5fsmooth_5fview_5fpimpl_5fpointer_430',['const_smooth_view_pimpl_pointer',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a6cb862859ac1393933cf7da11cbab135',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::const_smooth_view_pimpl_pointer()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothAlias.html#a6cb862859ac1393933cf7da11cbab135',1,'tensorwrapper::shape::detail_::SmoothAlias::const_smooth_view_pimpl_pointer()']]], + ['const_5fsparsity_5freference_431',['const_sparsity_reference',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a5b77efc3d60217888dec97e6db11683e',1,'tensorwrapper::layout::LayoutBase::const_sparsity_reference()'],['../classtensorwrapper_1_1layout_1_1Physical.html#a5b77efc3d60217888dec97e6db11683e',1,'tensorwrapper::layout::Physical::const_sparsity_reference()'],['../classtensorwrapper_1_1layout_1_1Logical.html#a5b77efc3d60217888dec97e6db11683e',1,'tensorwrapper::layout::Logical::const_sparsity_reference()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#afd4a276abd7d81365fb3091e031661bb',1,'tensorwrapper::detail_::TensorInput::const_sparsity_reference()']]], + ['const_5fsymmetry_5freference_432',['const_symmetry_reference',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a3dd01567774d686d74cf503578af0dbd',1,'tensorwrapper::layout::LayoutBase::const_symmetry_reference()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#a37b18284f408e75e37c5baaee6b86a8f',1,'tensorwrapper::detail_::TensorInput::const_symmetry_reference()'],['../classtensorwrapper_1_1layout_1_1Logical.html#a3dd01567774d686d74cf503578af0dbd',1,'tensorwrapper::layout::Logical::const_symmetry_reference()'],['../classtensorwrapper_1_1layout_1_1Physical.html#a3dd01567774d686d74cf503578af0dbd',1,'tensorwrapper::layout::Physical::const_symmetry_reference()']]], + ['cycle_5finitializer_5flist_433',['cycle_initializer_list',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#ac2ff36ee8fa1503dd5b8f78e7e560b62',1,'tensorwrapper::symmetry::Permutation']]], + ['cycle_5fset_5finitializer_5flist_434',['cycle_set_initializer_list',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a07204707171f12e9f40bab6537382cd7',1,'tensorwrapper::symmetry::Permutation']]], + ['cycle_5ftype_435',['cycle_type',['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a76e68d757e4ac71f37bccd72f1ce64c3',1,'tensorwrapper::symmetry::Permutation']]] ]; diff --git a/tensorwrapper_cxx_api/search/typedefs_3.js b/tensorwrapper_cxx_api/search/typedefs_3.js index 5080515f..e75d6d21 100644 --- a/tensorwrapper_cxx_api/search/typedefs_3.js +++ b/tensorwrapper_cxx_api/search/typedefs_3.js @@ -1,5 +1,11 @@ var searchData= [ - ['data_5freference_390',['data_reference',['../classtensorwrapper_1_1buffer_1_1Eigen.html#a7c0fdbe4ce81e75b7acd67b0e01c2be3',1,'tensorwrapper::buffer::Eigen']]], - ['data_5ftype_391',['data_type',['../classtensorwrapper_1_1buffer_1_1Eigen.html#adbf03f5fd17f582b993416a06376d77a',1,'tensorwrapper::buffer::Eigen']]] + ['data_5freference_436',['data_reference',['../classtensorwrapper_1_1buffer_1_1Eigen.html#a7c0fdbe4ce81e75b7acd67b0e01c2be3',1,'tensorwrapper::buffer::Eigen']]], + ['data_5ftype_437',['data_type',['../classtensorwrapper_1_1buffer_1_1Eigen.html#adbf03f5fd17f582b993416a06376d77a',1,'tensorwrapper::buffer::Eigen']]], + ['dsl_5fbase_5ftype_438',['dsl_base_type',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a9d807282567a60c0c72b845955ef0632',1,'tensorwrapper::shape::ShapeBase']]], + ['dsl_5fconst_5freference_439',['dsl_const_reference',['../classtensorwrapper_1_1detail___1_1DSLBase.html#af4a723bc12e6e338836c14bb47ea2555',1,'tensorwrapper::detail_::DSLBase']]], + ['dsl_5fconst_5fvalue_5ftype_440',['dsl_const_value_type',['../classtensorwrapper_1_1detail___1_1DSLBase.html#affe3c128cd26826333aa494b96a7281b',1,'tensorwrapper::detail_::DSLBase']]], + ['dsl_5fpointer_441',['dsl_pointer',['../classtensorwrapper_1_1detail___1_1DSLBase.html#a09fb09448b438208f57cf081abeb6e6a',1,'tensorwrapper::detail_::DSLBase']]], + ['dsl_5freference_442',['dsl_reference',['../classtensorwrapper_1_1detail___1_1DSLBase.html#abdad86554aa99fe9b5111737f6bd8571',1,'tensorwrapper::detail_::DSLBase']]], + ['dsl_5fvalue_5ftype_443',['dsl_value_type',['../classtensorwrapper_1_1detail___1_1DSLBase.html#ae4cf93785043718e77bb36638cd7a8b9',1,'tensorwrapper::detail_::DSLBase']]] ]; diff --git a/tensorwrapper_cxx_api/search/typedefs_4.js b/tensorwrapper_cxx_api/search/typedefs_4.js index bb65678c..908e64dc 100644 --- a/tensorwrapper_cxx_api/search/typedefs_4.js +++ b/tensorwrapper_cxx_api/search/typedefs_4.js @@ -1,9 +1,9 @@ var searchData= [ - ['eigen_5fbuffer_5fpointer_392',['eigen_buffer_pointer',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a522507ff86a9fe1ee2f81e424e80d2f5',1,'tensorwrapper::allocator::Eigen']]], - ['eigen_5fbuffer_5freference_393',['eigen_buffer_reference',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a32824b8dd51b17d90207d35f14667e84',1,'tensorwrapper::allocator::Eigen']]], - ['eigen_5fbuffer_5ftype_394',['eigen_buffer_type',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a3fa851a66ea31132f9758d7bbc48780b',1,'tensorwrapper::allocator::Eigen']]], - ['eigen_5flayout_5fpointer_395',['eigen_layout_pointer',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a3e6801c1e93d88e0b1522284f65d4098',1,'tensorwrapper::allocator::Eigen']]], - ['eigen_5flayout_5ftype_396',['eigen_layout_type',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a237c29fad7e42b310429d190ed9c7405',1,'tensorwrapper::allocator::Eigen']]], - ['enable_5fif_5fmutable_5fto_5fimmutable_5fcast_5ft_397',['enable_if_mutable_to_immutable_cast_t',['../namespacetensorwrapper_1_1detail__.html#aa6e3229f29de6317f20081b187503a29',1,'tensorwrapper::detail_']]] + ['eigen_5fbuffer_5fpointer_444',['eigen_buffer_pointer',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a522507ff86a9fe1ee2f81e424e80d2f5',1,'tensorwrapper::allocator::Eigen']]], + ['eigen_5fbuffer_5freference_445',['eigen_buffer_reference',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a32824b8dd51b17d90207d35f14667e84',1,'tensorwrapper::allocator::Eigen']]], + ['eigen_5fbuffer_5ftype_446',['eigen_buffer_type',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a3fa851a66ea31132f9758d7bbc48780b',1,'tensorwrapper::allocator::Eigen']]], + ['eigen_5flayout_5fpointer_447',['eigen_layout_pointer',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a3e6801c1e93d88e0b1522284f65d4098',1,'tensorwrapper::allocator::Eigen']]], + ['eigen_5flayout_5ftype_448',['eigen_layout_type',['../classtensorwrapper_1_1allocator_1_1Eigen.html#a237c29fad7e42b310429d190ed9c7405',1,'tensorwrapper::allocator::Eigen']]], + ['enable_5fif_5fmutable_5fto_5fimmutable_5fcast_5ft_449',['enable_if_mutable_to_immutable_cast_t',['../namespacetensorwrapper_1_1detail__.html#aa6e3229f29de6317f20081b187503a29',1,'tensorwrapper::detail_']]] ]; diff --git a/tensorwrapper_cxx_api/search/typedefs_5.js b/tensorwrapper_cxx_api/search/typedefs_5.js index 5beafdda..1343ef8a 100644 --- a/tensorwrapper_cxx_api/search/typedefs_5.js +++ b/tensorwrapper_cxx_api/search/typedefs_5.js @@ -1,4 +1,4 @@ var searchData= [ - ['input_5ftype_398',['input_type',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#ab3e36a2a29d025e2dd56507cb4bc528d',1,'tensorwrapper::detail_::TensorFactory']]] + ['input_5ftype_450',['input_type',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#ab3e36a2a29d025e2dd56507cb4bc528d',1,'tensorwrapper::detail_::TensorFactory']]] ]; diff --git a/tensorwrapper_cxx_api/search/typedefs_6.js b/tensorwrapper_cxx_api/search/typedefs_6.js index f8c31e5c..95d9c0ff 100644 --- a/tensorwrapper_cxx_api/search/typedefs_6.js +++ b/tensorwrapper_cxx_api/search/typedefs_6.js @@ -1,14 +1,13 @@ var searchData= [ - ['label_5ftype_399',['label_type',['../classtensorwrapper_1_1dsl_1_1Labeled.html#a93ff1763b1b516d804f47a5d0576c679',1,'tensorwrapper::dsl::Labeled::label_type()'],['../classtensorwrapper_1_1Tensor.html#a4a7a298794744a9b9f9228935e63b407',1,'tensorwrapper::Tensor::label_type()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a31a6428233981936aea35e7eebad7564',1,'tensorwrapper::buffer::BufferBase::label_type()']]], - ['labeled_5fbuffer_5ftype_400',['labeled_buffer_type',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#aff5d617f4b67d01bad1b5bd1e4ce76e1',1,'tensorwrapper::buffer::BufferBase']]], - ['labeled_5fconst_5fbuffer_5ftype_401',['labeled_const_buffer_type',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#af8e546d95e0a1b21bcb0bb64686ff128',1,'tensorwrapper::buffer::BufferBase']]], - ['labeled_5ftensor_5ftype_402',['labeled_tensor_type',['../classtensorwrapper_1_1Tensor.html#a405c993d7b00c0fe1e2d13ba950016be',1,'tensorwrapper::Tensor']]], - ['labeled_5ftype_403',['labeled_type',['../classtensorwrapper_1_1dsl_1_1PairwiseParser.html#ab19f4fa0b3cb25336110380d70e74d1a',1,'tensorwrapper::dsl::PairwiseParser']]], - ['layout_5fbase_404',['layout_base',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a3f30dbbd6f9155d24b1a899f9c78fe58',1,'tensorwrapper::layout::LayoutBase::layout_base()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#a68478b13631e57cdd6c04a73aca4c5bf',1,'tensorwrapper::detail_::TensorInput::layout_base()']]], - ['layout_5fpointer_405',['layout_pointer',['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a49e4cb715ac9f716b339b1568a7a65f5',1,'tensorwrapper::buffer::BufferBase::layout_pointer()'],['../classtensorwrapper_1_1layout_1_1Physical.html#a8416d1e6c81c2dfba79ced2c640bd450',1,'tensorwrapper::layout::Physical::layout_pointer()'],['../classtensorwrapper_1_1layout_1_1Logical.html#a8416d1e6c81c2dfba79ced2c640bd450',1,'tensorwrapper::layout::Logical::layout_pointer()'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a8416d1e6c81c2dfba79ced2c640bd450',1,'tensorwrapper::layout::LayoutBase::layout_pointer()'],['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#affd352a5c60cd78b9590c3a2dfdbc131',1,'tensorwrapper::allocator::AllocatorBase::layout_pointer()']]], - ['layout_5freference_406',['layout_reference',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a3256c9929ac09b113be09b10ec8ba873',1,'tensorwrapper::layout::LayoutBase']]], - ['layout_5ftype_407',['layout_type',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a1778ffc6f6ec1bfa301f2f2da45db440',1,'tensorwrapper::allocator::AllocatorBase::layout_type()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a3acfeac694f75a1c5da3fe96517c65a9',1,'tensorwrapper::buffer::BufferBase::layout_type()']]], - ['logical_5flayout_5fpointer_408',['logical_layout_pointer',['../structtensorwrapper_1_1detail___1_1TensorInput.html#aa7081ea44dacf0d8b5d59acc668bf82f',1,'tensorwrapper::detail_::TensorInput::logical_layout_pointer()'],['../classtensorwrapper_1_1Tensor.html#a40d43088dce5da7fcaf93e981b273f1a',1,'tensorwrapper::Tensor::logical_layout_pointer()']]], - ['logical_5flayout_5ftype_409',['logical_layout_type',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a811127e0e61e256475682ab5a35ca7e1',1,'tensorwrapper::detail_::TensorInput::logical_layout_type()'],['../classtensorwrapper_1_1Tensor.html#a2e1eae787afa93e13c30631326573432',1,'tensorwrapper::Tensor::logical_layout_type()']]] + ['label_5freference_451',['label_reference',['../classtensorwrapper_1_1dsl_1_1Labeled.html#a09f8f18b9b2c5ec4c149b3c6b7860627',1,'tensorwrapper::dsl::Labeled']]], + ['label_5ftype_452',['label_type',['../classtensorwrapper_1_1detail___1_1DSLBase.html#aa0ae4d4cac26930cf8338c1a24b004c4',1,'tensorwrapper::detail_::DSLBase::label_type()'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#a24a571ab75613584b5c4ccc1fc3a92fa',1,'tensorwrapper::dsl::Labeled::label_type()']]], + ['labeled_5fconst_5ftype_453',['labeled_const_type',['../classtensorwrapper_1_1detail___1_1DSLBase.html#a5273f3007852fd59832c5c916d812819',1,'tensorwrapper::detail_::DSLBase']]], + ['labeled_5ftype_454',['labeled_type',['../classtensorwrapper_1_1detail___1_1DSLBase.html#a0161d627582c002dbd77d97c076976fb',1,'tensorwrapper::detail_::DSLBase']]], + ['layout_5fbase_455',['layout_base',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a3f30dbbd6f9155d24b1a899f9c78fe58',1,'tensorwrapper::layout::LayoutBase::layout_base()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#a68478b13631e57cdd6c04a73aca4c5bf',1,'tensorwrapper::detail_::TensorInput::layout_base()']]], + ['layout_5fpointer_456',['layout_pointer',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a8416d1e6c81c2dfba79ced2c640bd450',1,'tensorwrapper::layout::LayoutBase::layout_pointer()'],['../classtensorwrapper_1_1layout_1_1Physical.html#a8416d1e6c81c2dfba79ced2c640bd450',1,'tensorwrapper::layout::Physical::layout_pointer()'],['../classtensorwrapper_1_1layout_1_1Logical.html#a8416d1e6c81c2dfba79ced2c640bd450',1,'tensorwrapper::layout::Logical::layout_pointer()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a49e4cb715ac9f716b339b1568a7a65f5',1,'tensorwrapper::buffer::BufferBase::layout_pointer()'],['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#affd352a5c60cd78b9590c3a2dfdbc131',1,'tensorwrapper::allocator::AllocatorBase::layout_pointer()']]], + ['layout_5freference_457',['layout_reference',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a3256c9929ac09b113be09b10ec8ba873',1,'tensorwrapper::layout::LayoutBase']]], + ['layout_5ftype_458',['layout_type',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a1778ffc6f6ec1bfa301f2f2da45db440',1,'tensorwrapper::allocator::AllocatorBase::layout_type()'],['../classtensorwrapper_1_1buffer_1_1BufferBase.html#a3acfeac694f75a1c5da3fe96517c65a9',1,'tensorwrapper::buffer::BufferBase::layout_type()']]], + ['logical_5flayout_5fpointer_459',['logical_layout_pointer',['../structtensorwrapper_1_1detail___1_1TensorInput.html#aa7081ea44dacf0d8b5d59acc668bf82f',1,'tensorwrapper::detail_::TensorInput::logical_layout_pointer()'],['../classtensorwrapper_1_1Tensor.html#a40d43088dce5da7fcaf93e981b273f1a',1,'tensorwrapper::Tensor::logical_layout_pointer()']]], + ['logical_5flayout_5ftype_460',['logical_layout_type',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a811127e0e61e256475682ab5a35ca7e1',1,'tensorwrapper::detail_::TensorInput::logical_layout_type()'],['../classtensorwrapper_1_1Tensor.html#a2e1eae787afa93e13c30631326573432',1,'tensorwrapper::Tensor::logical_layout_type()']]] ]; diff --git a/tensorwrapper_cxx_api/search/typedefs_7.js b/tensorwrapper_cxx_api/search/typedefs_7.js index d7dd16d8..8b8e1757 100644 --- a/tensorwrapper_cxx_api/search/typedefs_7.js +++ b/tensorwrapper_cxx_api/search/typedefs_7.js @@ -1,5 +1,5 @@ var searchData= [ - ['matrix_5fil_5ftype_410',['matrix_il_type',['../classtensorwrapper_1_1Tensor.html#acf0b6193c6ac4a8620bd0e477afc3c58',1,'tensorwrapper::Tensor::matrix_il_type()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a71c5e2b5afa0732aa8053375da487982',1,'tensorwrapper::detail_::TensorFactory::matrix_il_type()']]], - ['mode_5findex_5ftype_411',['mode_index_type',['../classtensorwrapper_1_1symmetry_1_1Operation.html#a18616cc4ebaef5efaa3d284f8f959141',1,'tensorwrapper::symmetry::Operation::mode_index_type()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a18616cc4ebaef5efaa3d284f8f959141',1,'tensorwrapper::symmetry::Permutation::mode_index_type()']]] + ['matrix_5fil_5ftype_461',['matrix_il_type',['../classtensorwrapper_1_1Tensor.html#acf0b6193c6ac4a8620bd0e477afc3c58',1,'tensorwrapper::Tensor::matrix_il_type()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a71c5e2b5afa0732aa8053375da487982',1,'tensorwrapper::detail_::TensorFactory::matrix_il_type()']]], + ['mode_5findex_5ftype_462',['mode_index_type',['../classtensorwrapper_1_1symmetry_1_1Group.html#a317303f883c6582f159a01dad9685477',1,'tensorwrapper::symmetry::Group::mode_index_type()'],['../classtensorwrapper_1_1symmetry_1_1Operation.html#a18616cc4ebaef5efaa3d284f8f959141',1,'tensorwrapper::symmetry::Operation::mode_index_type()'],['../classtensorwrapper_1_1symmetry_1_1Permutation.html#a18616cc4ebaef5efaa3d284f8f959141',1,'tensorwrapper::symmetry::Permutation::mode_index_type()']]] ]; diff --git a/tensorwrapper_cxx_api/search/typedefs_8.js b/tensorwrapper_cxx_api/search/typedefs_8.js index f4e0b7bc..5e5900d0 100644 --- a/tensorwrapper_cxx_api/search/typedefs_8.js +++ b/tensorwrapper_cxx_api/search/typedefs_8.js @@ -1,5 +1,6 @@ var searchData= [ - ['object_5ftype_412',['object_type',['../classtensorwrapper_1_1dsl_1_1Labeled.html#a4c5b9c673ac16c166b9d0585a87971f9',1,'tensorwrapper::dsl::Labeled']]], - ['offset_5fvector_413',['offset_vector',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a6025b21b588ec419842de250959259e3',1,'tensorwrapper::dsl::DummyIndices']]] + ['object_5freference_463',['object_reference',['../classtensorwrapper_1_1dsl_1_1Labeled.html#aa678cb1a3d21d4556f277e22e68f4e62',1,'tensorwrapper::dsl::Labeled']]], + ['object_5ftype_464',['object_type',['../classtensorwrapper_1_1dsl_1_1Labeled.html#a50740e4f3c8544efb8b3eb6089b4b030',1,'tensorwrapper::dsl::Labeled']]], + ['offset_5fvector_465',['offset_vector',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a6025b21b588ec419842de250959259e3',1,'tensorwrapper::dsl::DummyIndices']]] ]; diff --git a/tensorwrapper_cxx_api/search/typedefs_9.js b/tensorwrapper_cxx_api/search/typedefs_9.js index 30cc4fa3..151c047c 100644 --- a/tensorwrapper_cxx_api/search/typedefs_9.js +++ b/tensorwrapper_cxx_api/search/typedefs_9.js @@ -1,8 +1,9 @@ var searchData= [ - ['parent_5ftype_414',['parent_type',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a18529918f52909a990d555703c3254dd',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::parent_type()'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#afedf21550433e084d745788de89c1d51',1,'tensorwrapper::detail_::TensorPIMPL::parent_type()']]], - ['physical_5flayout_5fpointer_415',['physical_layout_pointer',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a15d4dada36b1c63440c9e56fdf0da8ef',1,'tensorwrapper::detail_::TensorInput']]], - ['physical_5flayout_5ftype_416',['physical_layout_type',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a7367d01d5c06f644efcbc85820f2f7a7',1,'tensorwrapper::detail_::TensorInput']]], - ['pimpl_5fpointer_417',['pimpl_pointer',['../classtensorwrapper_1_1Tensor.html#a761be2f8023866d6b4dbcffb69d419be',1,'tensorwrapper::Tensor::pimpl_pointer()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a8e14d73deada521aed7ecfd7d18066f9',1,'tensorwrapper::detail_::TensorFactory::pimpl_pointer()'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#a5cbb4afb1d15ae467484c02b2b735325',1,'tensorwrapper::detail_::TensorPIMPL::pimpl_pointer()']]], - ['pimpl_5ftype_418',['pimpl_type',['../classtensorwrapper_1_1Tensor.html#a272fea9e213b7be56e8e4feab18b53da',1,'tensorwrapper::Tensor::pimpl_type()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a5106718edcce3b88a13ccbecf247aae6',1,'tensorwrapper::detail_::TensorFactory::pimpl_type()']]] + ['parent_5ftype_466',['parent_type',['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a18529918f52909a990d555703c3254dd',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::parent_type()'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#afedf21550433e084d745788de89c1d51',1,'tensorwrapper::detail_::TensorPIMPL::parent_type()']]], + ['physical_5flayout_5fpointer_467',['physical_layout_pointer',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a15d4dada36b1c63440c9e56fdf0da8ef',1,'tensorwrapper::detail_::TensorInput']]], + ['physical_5flayout_5ftype_468',['physical_layout_type',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a7367d01d5c06f644efcbc85820f2f7a7',1,'tensorwrapper::detail_::TensorInput']]], + ['pimpl_5fpointer_469',['pimpl_pointer',['../classtensorwrapper_1_1Tensor.html#a761be2f8023866d6b4dbcffb69d419be',1,'tensorwrapper::Tensor::pimpl_pointer()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a8e14d73deada521aed7ecfd7d18066f9',1,'tensorwrapper::detail_::TensorFactory::pimpl_pointer()'],['../classtensorwrapper_1_1detail___1_1TensorPIMPL.html#a5cbb4afb1d15ae467484c02b2b735325',1,'tensorwrapper::detail_::TensorPIMPL::pimpl_pointer()']]], + ['pimpl_5ftype_470',['pimpl_type',['../classtensorwrapper_1_1Tensor.html#a272fea9e213b7be56e8e4feab18b53da',1,'tensorwrapper::Tensor::pimpl_type()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a5106718edcce3b88a13ccbecf247aae6',1,'tensorwrapper::detail_::TensorFactory::pimpl_type()']]], + ['polymorphic_5fbase_5ftype_471',['polymorphic_base_type',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#ac4340bd1a23d9e7b59a32dabe6f77d67',1,'tensorwrapper::shape::ShapeBase']]] ]; diff --git a/tensorwrapper_cxx_api/search/typedefs_a.js b/tensorwrapper_cxx_api/search/typedefs_a.js index 4ed220bb..ca2f14bb 100644 --- a/tensorwrapper_cxx_api/search/typedefs_a.js +++ b/tensorwrapper_cxx_api/search/typedefs_a.js @@ -1,7 +1,7 @@ var searchData= [ - ['rank_5ftype_419',['rank_type',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a15f619581ee8f80fdd77ecb961b116c5',1,'tensorwrapper::shape::ShapeBase::rank_type()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a99bd66426793eca340b6fb20c184d35f',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::rank_type()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a15f619581ee8f80fdd77ecb961b116c5',1,'tensorwrapper::shape::Smooth::rank_type()']]], - ['reference_420',['reference',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#afcb330cc0c92127a9c885c9b60e667b6',1,'tensorwrapper::dsl::DummyIndices::reference()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#acba7bb0bb27f57eda1d175af8bec59de',1,'tensorwrapper::symmetry::Group::reference()']]], - ['runtime_5fview_5freference_421',['runtime_view_reference',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a42cd4f9c201c9727a70b7f20d061111a',1,'tensorwrapper::allocator::AllocatorBase']]], - ['runtime_5fview_5ftype_422',['runtime_view_type',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a4823d9e8f030d8dd0bad75f71a64749e',1,'tensorwrapper::allocator::AllocatorBase::runtime_view_type()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#a1bdb6fd8f064ef8e99948dae219e67dc',1,'tensorwrapper::detail_::TensorInput::runtime_view_type()']]] + ['rank_5ftype_472',['rank_type',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a15f619581ee8f80fdd77ecb961b116c5',1,'tensorwrapper::shape::ShapeBase::rank_type()'],['../classtensorwrapper_1_1shape_1_1detail___1_1SmoothViewPIMPL.html#a99bd66426793eca340b6fb20c184d35f',1,'tensorwrapper::shape::detail_::SmoothViewPIMPL::rank_type()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a15f619581ee8f80fdd77ecb961b116c5',1,'tensorwrapper::shape::Smooth::rank_type()']]], + ['reference_473',['reference',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#afcb330cc0c92127a9c885c9b60e667b6',1,'tensorwrapper::dsl::DummyIndices::reference()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#acba7bb0bb27f57eda1d175af8bec59de',1,'tensorwrapper::symmetry::Group::reference()']]], + ['runtime_5fview_5freference_474',['runtime_view_reference',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a42cd4f9c201c9727a70b7f20d061111a',1,'tensorwrapper::allocator::AllocatorBase']]], + ['runtime_5fview_5ftype_475',['runtime_view_type',['../classtensorwrapper_1_1allocator_1_1AllocatorBase.html#a4823d9e8f030d8dd0bad75f71a64749e',1,'tensorwrapper::allocator::AllocatorBase::runtime_view_type()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#a1bdb6fd8f064ef8e99948dae219e67dc',1,'tensorwrapper::detail_::TensorInput::runtime_view_type()']]] ]; diff --git a/tensorwrapper_cxx_api/search/typedefs_b.js b/tensorwrapper_cxx_api/search/typedefs_b.js index 2d24dc02..3a1fef52 100644 --- a/tensorwrapper_cxx_api/search/typedefs_b.js +++ b/tensorwrapper_cxx_api/search/typedefs_b.js @@ -1,17 +1,17 @@ var searchData= [ - ['scalar_5fil_5ftype_423',['scalar_il_type',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a3bf41273bcd62982129ea1fb5372c33e',1,'tensorwrapper::detail_::TensorFactory::scalar_il_type()'],['../classtensorwrapper_1_1Tensor.html#a85929ca1bb93159d162dbc8ab8104d77',1,'tensorwrapper::Tensor::scalar_il_type()']]], - ['shape_5fbase_424',['shape_base',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#aa89c9d09b236ef3686f33e5e20f3afe6',1,'tensorwrapper::layout::LayoutBase::shape_base()'],['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a941c3dce37f20546e7a7d34200975d90',1,'tensorwrapper::shape::ShapeBase::shape_base()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#a55e333983f5a90e40ae1519d6f4ff68a',1,'tensorwrapper::detail_::TensorInput::shape_base()']]], - ['shape_5fpointer_425',['shape_pointer',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#ac9535792a17996334ff3f32a036d82ec',1,'tensorwrapper::layout::LayoutBase::shape_pointer()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#a6bcaa5e84e14dd51497c3cf127db6695',1,'tensorwrapper::detail_::TensorInput::shape_pointer()'],['../classtensorwrapper_1_1layout_1_1Logical.html#ac9535792a17996334ff3f32a036d82ec',1,'tensorwrapper::layout::Logical::shape_pointer()']]], - ['size_5ftype_426',['size_type',['../classtensorwrapper_1_1shape_1_1Smooth.html#a51825e970bbb82230a789703532f9109',1,'tensorwrapper::shape::Smooth::size_type()'],['../classtensorwrapper_1_1layout_1_1Physical.html#a9e4e0d859918af487ae9e20cea6865c4',1,'tensorwrapper::layout::Physical::size_type()'],['../classtensorwrapper_1_1layout_1_1Logical.html#a9e4e0d859918af487ae9e20cea6865c4',1,'tensorwrapper::layout::Logical::size_type()'],['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a51825e970bbb82230a789703532f9109',1,'tensorwrapper::shape::ShapeBase::size_type()'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a9e4e0d859918af487ae9e20cea6865c4',1,'tensorwrapper::layout::LayoutBase::size_type()'],['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a57ee0818e5b85c1e291d965fa5b58a25',1,'tensorwrapper::dsl::DummyIndices::size_type()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a5d030933a808a1ea674d36a195e4c9b1',1,'tensorwrapper::symmetry::Group::size_type()']]], - ['smooth_5freference_427',['smooth_reference',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a3b73c3f2152198e3d720bdb76aac806f',1,'tensorwrapper::shape::ShapeBase']]], - ['smooth_5ftraits_428',['smooth_traits',['../classtensorwrapper_1_1shape_1_1SmoothView.html#ab7805cb7dd018932d5160061662b279d',1,'tensorwrapper::shape::SmoothView']]], - ['sparsity_5fbase_429',['sparsity_base',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a0b80aa9354da70a91a3826ec3e525ac7',1,'tensorwrapper::detail_::TensorInput']]], - ['sparsity_5fpointer_430',['sparsity_pointer',['../classtensorwrapper_1_1layout_1_1Logical.html#a61bcc1c9a4c082cfa835f38946f4a038',1,'tensorwrapper::layout::Logical::sparsity_pointer()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#aad366fd1de70429ace06c3d221a57415',1,'tensorwrapper::detail_::TensorInput::sparsity_pointer()'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a61bcc1c9a4c082cfa835f38946f4a038',1,'tensorwrapper::layout::LayoutBase::sparsity_pointer()']]], - ['sparsity_5ftype_431',['sparsity_type',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a66079cbdc5772b88b309dcf91dce6383',1,'tensorwrapper::layout::LayoutBase']]], - ['split_5fstring_5ftype_432',['split_string_type',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a499aeed44afc4cb5d466d8a74711a5f4',1,'tensorwrapper::dsl::DummyIndices']]], - ['string_5ftype_433',['string_type',['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#ad9531ddf5e054a4c914b5f54dc981238',1,'tensorwrapper::detail_::PolymorphicBase']]], - ['symmetry_5fbase_434',['symmetry_base',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a5d1bc137092a6b631073856173332c50',1,'tensorwrapper::detail_::TensorInput']]], - ['symmetry_5fpointer_435',['symmetry_pointer',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#accf5c9703736e9b36914a6cd82f9dee8',1,'tensorwrapper::layout::LayoutBase::symmetry_pointer()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#ab1050d85b5a333c68b5ebb9755bca72c',1,'tensorwrapper::detail_::TensorInput::symmetry_pointer()'],['../classtensorwrapper_1_1layout_1_1Logical.html#accf5c9703736e9b36914a6cd82f9dee8',1,'tensorwrapper::layout::Logical::symmetry_pointer()']]], - ['symmetry_5ftype_436',['symmetry_type',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a842c33e49a35c1a35b3348df9802c53b',1,'tensorwrapper::layout::LayoutBase']]] + ['scalar_5fil_5ftype_476',['scalar_il_type',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a3bf41273bcd62982129ea1fb5372c33e',1,'tensorwrapper::detail_::TensorFactory::scalar_il_type()'],['../classtensorwrapper_1_1Tensor.html#a85929ca1bb93159d162dbc8ab8104d77',1,'tensorwrapper::Tensor::scalar_il_type()']]], + ['shape_5fbase_477',['shape_base',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#aa89c9d09b236ef3686f33e5e20f3afe6',1,'tensorwrapper::layout::LayoutBase::shape_base()'],['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a941c3dce37f20546e7a7d34200975d90',1,'tensorwrapper::shape::ShapeBase::shape_base()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#a55e333983f5a90e40ae1519d6f4ff68a',1,'tensorwrapper::detail_::TensorInput::shape_base()']]], + ['shape_5fpointer_478',['shape_pointer',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#ac9535792a17996334ff3f32a036d82ec',1,'tensorwrapper::layout::LayoutBase::shape_pointer()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#a6bcaa5e84e14dd51497c3cf127db6695',1,'tensorwrapper::detail_::TensorInput::shape_pointer()'],['../classtensorwrapper_1_1layout_1_1Logical.html#ac9535792a17996334ff3f32a036d82ec',1,'tensorwrapper::layout::Logical::shape_pointer()']]], + ['size_5ftype_479',['size_type',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a57ee0818e5b85c1e291d965fa5b58a25',1,'tensorwrapper::dsl::DummyIndices::size_type()'],['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a9e4e0d859918af487ae9e20cea6865c4',1,'tensorwrapper::layout::LayoutBase::size_type()'],['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a51825e970bbb82230a789703532f9109',1,'tensorwrapper::shape::ShapeBase::size_type()'],['../classtensorwrapper_1_1sparsity_1_1Pattern.html#ac5bca2f47eed0d1da103fa05a46b3af8',1,'tensorwrapper::sparsity::Pattern::size_type()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a5d030933a808a1ea674d36a195e4c9b1',1,'tensorwrapper::symmetry::Group::size_type()'],['../classtensorwrapper_1_1layout_1_1Logical.html#a9e4e0d859918af487ae9e20cea6865c4',1,'tensorwrapper::layout::Logical::size_type()'],['../classtensorwrapper_1_1layout_1_1Physical.html#a9e4e0d859918af487ae9e20cea6865c4',1,'tensorwrapper::layout::Physical::size_type()'],['../classtensorwrapper_1_1shape_1_1Smooth.html#a51825e970bbb82230a789703532f9109',1,'tensorwrapper::shape::Smooth::size_type()']]], + ['smooth_5freference_480',['smooth_reference',['../classtensorwrapper_1_1shape_1_1ShapeBase.html#a3b73c3f2152198e3d720bdb76aac806f',1,'tensorwrapper::shape::ShapeBase']]], + ['smooth_5ftraits_481',['smooth_traits',['../classtensorwrapper_1_1shape_1_1SmoothView.html#ab7805cb7dd018932d5160061662b279d',1,'tensorwrapper::shape::SmoothView']]], + ['sparsity_5fbase_482',['sparsity_base',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a0b80aa9354da70a91a3826ec3e525ac7',1,'tensorwrapper::detail_::TensorInput']]], + ['sparsity_5fpointer_483',['sparsity_pointer',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a61bcc1c9a4c082cfa835f38946f4a038',1,'tensorwrapper::layout::LayoutBase::sparsity_pointer()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#aad366fd1de70429ace06c3d221a57415',1,'tensorwrapper::detail_::TensorInput::sparsity_pointer()'],['../classtensorwrapper_1_1layout_1_1Logical.html#a61bcc1c9a4c082cfa835f38946f4a038',1,'tensorwrapper::layout::Logical::sparsity_pointer()']]], + ['sparsity_5ftype_484',['sparsity_type',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a66079cbdc5772b88b309dcf91dce6383',1,'tensorwrapper::layout::LayoutBase']]], + ['split_5fstring_5ftype_485',['split_string_type',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a499aeed44afc4cb5d466d8a74711a5f4',1,'tensorwrapper::dsl::DummyIndices']]], + ['string_5ftype_486',['string_type',['../classtensorwrapper_1_1detail___1_1DSLBase.html#ad72659a6f55ee9bae43e1087aa1b086b',1,'tensorwrapper::detail_::DSLBase::string_type()'],['../classtensorwrapper_1_1detail___1_1PolymorphicBase.html#ad9531ddf5e054a4c914b5f54dc981238',1,'tensorwrapper::detail_::PolymorphicBase::string_type()'],['../classtensorwrapper_1_1dsl_1_1Labeled.html#acdb1cb245242b584dd2398c916dbe11f',1,'tensorwrapper::dsl::Labeled::string_type()']]], + ['symmetry_5fbase_487',['symmetry_base',['../structtensorwrapper_1_1detail___1_1TensorInput.html#a5d1bc137092a6b631073856173332c50',1,'tensorwrapper::detail_::TensorInput']]], + ['symmetry_5fpointer_488',['symmetry_pointer',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#accf5c9703736e9b36914a6cd82f9dee8',1,'tensorwrapper::layout::LayoutBase::symmetry_pointer()'],['../structtensorwrapper_1_1detail___1_1TensorInput.html#ab1050d85b5a333c68b5ebb9755bca72c',1,'tensorwrapper::detail_::TensorInput::symmetry_pointer()'],['../classtensorwrapper_1_1layout_1_1Logical.html#accf5c9703736e9b36914a6cd82f9dee8',1,'tensorwrapper::layout::Logical::symmetry_pointer()']]], + ['symmetry_5ftype_489',['symmetry_type',['../classtensorwrapper_1_1layout_1_1LayoutBase.html#a842c33e49a35c1a35b3348df9802c53b',1,'tensorwrapper::layout::LayoutBase']]] ]; diff --git a/tensorwrapper_cxx_api/search/typedefs_c.js b/tensorwrapper_cxx_api/search/typedefs_c.js index 5aa0c959..cd82f198 100644 --- a/tensorwrapper_cxx_api/search/typedefs_c.js +++ b/tensorwrapper_cxx_api/search/typedefs_c.js @@ -1,6 +1,6 @@ var searchData= [ - ['tensor3_5fil_5ftype_437',['tensor3_il_type',['../classtensorwrapper_1_1Tensor.html#a2ea66c7afb686eeab03b13f1791d4848',1,'tensorwrapper::Tensor::tensor3_il_type()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a32dfc71f73f04982bdb78fac14b47311',1,'tensorwrapper::detail_::TensorFactory::tensor3_il_type()']]], - ['tensor4_5fil_5ftype_438',['tensor4_il_type',['../classtensorwrapper_1_1Tensor.html#aec53b217d9b03c0a4dafe6147dede129',1,'tensorwrapper::Tensor::tensor4_il_type()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#aded3f81ed032278b437d4e20b45d4199',1,'tensorwrapper::detail_::TensorFactory::tensor4_il_type()']]], - ['tensor_5ftype_439',['tensor_type',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#abce3e31d7ddbdd503f9248fee94c3a7a',1,'tensorwrapper::detail_::TensorFactory']]] + ['tensor3_5fil_5ftype_490',['tensor3_il_type',['../classtensorwrapper_1_1Tensor.html#a2ea66c7afb686eeab03b13f1791d4848',1,'tensorwrapper::Tensor::tensor3_il_type()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#a32dfc71f73f04982bdb78fac14b47311',1,'tensorwrapper::detail_::TensorFactory::tensor3_il_type()']]], + ['tensor4_5fil_5ftype_491',['tensor4_il_type',['../classtensorwrapper_1_1Tensor.html#aec53b217d9b03c0a4dafe6147dede129',1,'tensorwrapper::Tensor::tensor4_il_type()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#aded3f81ed032278b437d4e20b45d4199',1,'tensorwrapper::detail_::TensorFactory::tensor4_il_type()']]], + ['tensor_5ftype_492',['tensor_type',['../classtensorwrapper_1_1detail___1_1TensorFactory.html#abce3e31d7ddbdd503f9248fee94c3a7a',1,'tensorwrapper::detail_::TensorFactory']]] ]; diff --git a/tensorwrapper_cxx_api/search/typedefs_d.js b/tensorwrapper_cxx_api/search/typedefs_d.js index 9d5d48c4..b7df4bd0 100644 --- a/tensorwrapper_cxx_api/search/typedefs_d.js +++ b/tensorwrapper_cxx_api/search/typedefs_d.js @@ -1,5 +1,5 @@ var searchData= [ - ['value_5ftype_440',['value_type',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a8b9e9303ed7ed39fa56bdb800af92f2f',1,'tensorwrapper::dsl::DummyIndices::value_type()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a514bfe739fcb010c6848e72e145bdb88',1,'tensorwrapper::symmetry::Group::value_type()']]], - ['vector_5fil_5ftype_441',['vector_il_type',['../classtensorwrapper_1_1Tensor.html#a49549e657f4e223cfe7622f1b633e294',1,'tensorwrapper::Tensor::vector_il_type()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#aadb5a4c241ae0c9dab9bac63bdce12de',1,'tensorwrapper::detail_::TensorFactory::vector_il_type()']]] + ['value_5ftype_493',['value_type',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a8b9e9303ed7ed39fa56bdb800af92f2f',1,'tensorwrapper::dsl::DummyIndices::value_type()'],['../classtensorwrapper_1_1symmetry_1_1Group.html#a514bfe739fcb010c6848e72e145bdb88',1,'tensorwrapper::symmetry::Group::value_type()']]], + ['vector_5fil_5ftype_494',['vector_il_type',['../classtensorwrapper_1_1Tensor.html#a49549e657f4e223cfe7622f1b633e294',1,'tensorwrapper::Tensor::vector_il_type()'],['../classtensorwrapper_1_1detail___1_1TensorFactory.html#aadb5a4c241ae0c9dab9bac63bdce12de',1,'tensorwrapper::detail_::TensorFactory::vector_il_type()']]] ]; diff --git a/tensorwrapper_cxx_api/search/variables_0.js b/tensorwrapper_cxx_api/search/variables_0.js index 4cbc71ac..cb040552 100644 --- a/tensorwrapper_cxx_api/search/variables_0.js +++ b/tensorwrapper_cxx_api/search/variables_0.js @@ -1,4 +1,4 @@ var searchData= [ - ['base_5ftype_351',['base_type',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a42d5253d9f97cfbdb31dca92d456f64e',1,'tensorwrapper::dsl::DummyIndices']]] + ['base_5ftype_396',['base_type',['../classtensorwrapper_1_1dsl_1_1DummyIndices.html#a42d5253d9f97cfbdb31dca92d456f64e',1,'tensorwrapper::dsl::DummyIndices']]] ]; diff --git a/tensorwrapper_cxx_api/search/variables_1.js b/tensorwrapper_cxx_api/search/variables_1.js index 4f8d1b9a..75085b01 100644 --- a/tensorwrapper_cxx_api/search/variables_1.js +++ b/tensorwrapper_cxx_api/search/variables_1.js @@ -1,4 +1,4 @@ var searchData= [ - ['is_5fmutable_5fto_5fimmutable_5fcast_5fv_352',['is_mutable_to_immutable_cast_v',['../namespacetensorwrapper_1_1detail__.html#a6a23574a75f8ab1de5e8f854c7263e03',1,'tensorwrapper::detail_']]] + ['is_5fmutable_5fto_5fimmutable_5fcast_5fv_397',['is_mutable_to_immutable_cast_v',['../namespacetensorwrapper_1_1detail__.html#a6a23574a75f8ab1de5e8f854c7263e03',1,'tensorwrapper::detail_']]] ]; diff --git a/tensorwrapper_cxx_api/shape_8hpp_source.html b/tensorwrapper_cxx_api/shape_8hpp_source.html index 7aae3e0a..d2db88c6 100644 --- a/tensorwrapper_cxx_api/shape_8hpp_source.html +++ b/tensorwrapper_cxx_api/shape_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/shape__base_8hpp_source.html b/tensorwrapper_cxx_api/shape__base_8hpp_source.html index b0a7d794..688a9ff4 100644 --- a/tensorwrapper_cxx_api/shape__base_8hpp_source.html +++ b/tensorwrapper_cxx_api/shape__base_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              @@ -89,66 +89,75 @@
                                                                                              17 #pragma once
                                                                                              18 #include <cstddef>
                                                                                              19 #include <memory>
                                                                                              -
                                                                                              20 #include <tensorwrapper/detail_/polymorphic_base.hpp>
                                                                                              -
                                                                                              21 #include <tensorwrapper/shape/shape_traits.hpp>
                                                                                              -
                                                                                              22 #include <tensorwrapper/shape/smooth_view.hpp>
                                                                                              -
                                                                                              23 
                                                                                              -
                                                                                              24 namespace tensorwrapper::shape {
                                                                                              -
                                                                                              25 
                                                                                              -
                                                                                              40 class ShapeBase : public tensorwrapper::detail_::PolymorphicBase<ShapeBase> {
                                                                                              -
                                                                                              41 private:
                                                                                              -
                                                                                              43  using traits_type = ShapeTraits<ShapeBase>;
                                                                                              -
                                                                                              44 
                                                                                              -
                                                                                              45 public:
                                                                                              -
                                                                                              47  using shape_base = typename traits_type::shape_base;
                                                                                              -
                                                                                              48 
                                                                                              -
                                                                                              50  using base_pointer = typename traits_type::base_pointer;
                                                                                              +
                                                                                              20 #include <tensorwrapper/detail_/dsl_base.hpp>
                                                                                              +
                                                                                              21 #include <tensorwrapper/detail_/polymorphic_base.hpp>
                                                                                              +
                                                                                              22 #include <tensorwrapper/shape/shape_traits.hpp>
                                                                                              +
                                                                                              23 #include <tensorwrapper/shape/smooth_view.hpp>
                                                                                              +
                                                                                              24 
                                                                                              +
                                                                                              25 namespace tensorwrapper::shape {
                                                                                              +
                                                                                              26 
                                                                                              +
                                                                                              41 class ShapeBase : public tensorwrapper::detail_::PolymorphicBase<ShapeBase>,
                                                                                              +
                                                                                              42  public tensorwrapper::detail_::DSLBase<ShapeBase> {
                                                                                              +
                                                                                              43 private:
                                                                                              +
                                                                                              45  using traits_type = ShapeTraits<ShapeBase>;
                                                                                              +
                                                                                              46 
                                                                                              +
                                                                                              47 protected:
                                                                                              +
                                                                                              49  using polymorphic_base_type =
                                                                                              +
                                                                                              50  tensorwrapper::detail_::PolymorphicBase<ShapeBase>;
                                                                                              51 
                                                                                              -
                                                                                              53  using rank_type = typename traits_type::rank_type;
                                                                                              +
                                                                                              53  using dsl_base_type = tensorwrapper::detail_::PolymorphicBase<ShapeBase>;
                                                                                              54 
                                                                                              -
                                                                                              56  using size_type = typename traits_type::size_type;
                                                                                              -
                                                                                              57 
                                                                                              -
                                                                                              59  using smooth_reference = SmoothView<Smooth>;
                                                                                              -
                                                                                              60 
                                                                                              -
                                                                                              62  using const_smooth_reference = SmoothView<const Smooth>;
                                                                                              -
                                                                                              63 
                                                                                              -
                                                                                              65  ShapeBase() noexcept = default;
                                                                                              -
                                                                                              66 
                                                                                              -
                                                                                              68  virtual ~ShapeBase() noexcept = default;
                                                                                              -
                                                                                              69 
                                                                                              -
                                                                                              84  rank_type rank() const noexcept { return get_rank_(); }
                                                                                              -
                                                                                              85 
                                                                                              -
                                                                                              97  size_type size() const noexcept { return get_size_(); }
                                                                                              -
                                                                                              98 
                                                                                              -
                                                                                              112  smooth_reference as_smooth() { return as_smooth_(); }
                                                                                              -
                                                                                              113 
                                                                                              -
                                                                                              125  const_smooth_reference as_smooth() const { return as_smooth_(); }
                                                                                              -
                                                                                              126 
                                                                                              -
                                                                                              127 protected:
                                                                                              -
                                                                                              138  virtual rank_type get_rank_() const noexcept = 0;
                                                                                              -
                                                                                              139 
                                                                                              -
                                                                                              151  virtual size_type get_size_() const noexcept = 0;
                                                                                              -
                                                                                              152 
                                                                                              -
                                                                                              154  virtual smooth_reference as_smooth_() = 0;
                                                                                              -
                                                                                              155 
                                                                                              -
                                                                                              157  virtual const_smooth_reference as_smooth_() const = 0;
                                                                                              -
                                                                                              158 };
                                                                                              -
                                                                                              159 
                                                                                              -
                                                                                              160 } // namespace tensorwrapper::shape
                                                                                              +
                                                                                              55 public:
                                                                                              +
                                                                                              57  using shape_base = typename traits_type::shape_base;
                                                                                              +
                                                                                              58 
                                                                                              +
                                                                                              60  using base_pointer = typename traits_type::base_pointer;
                                                                                              +
                                                                                              61 
                                                                                              +
                                                                                              63  using rank_type = typename traits_type::rank_type;
                                                                                              +
                                                                                              64 
                                                                                              +
                                                                                              66  using size_type = typename traits_type::size_type;
                                                                                              +
                                                                                              67 
                                                                                              +
                                                                                              69  using smooth_reference = SmoothView<Smooth>;
                                                                                              +
                                                                                              70 
                                                                                              +
                                                                                              72  using const_smooth_reference = SmoothView<const Smooth>;
                                                                                              +
                                                                                              73 
                                                                                              +
                                                                                              75  ShapeBase() noexcept = default;
                                                                                              +
                                                                                              76 
                                                                                              +
                                                                                              78  virtual ~ShapeBase() noexcept = default;
                                                                                              +
                                                                                              79 
                                                                                              +
                                                                                              94  rank_type rank() const noexcept { return get_rank_(); }
                                                                                              +
                                                                                              95 
                                                                                              +
                                                                                              107  size_type size() const noexcept { return get_size_(); }
                                                                                              +
                                                                                              108 
                                                                                              +
                                                                                              122  smooth_reference as_smooth() { return as_smooth_(); }
                                                                                              +
                                                                                              123 
                                                                                              +
                                                                                              135  const_smooth_reference as_smooth() const { return as_smooth_(); }
                                                                                              +
                                                                                              136 
                                                                                              +
                                                                                              137 protected:
                                                                                              +
                                                                                              148  virtual rank_type get_rank_() const noexcept = 0;
                                                                                              +
                                                                                              149 
                                                                                              +
                                                                                              161  virtual size_type get_size_() const noexcept = 0;
                                                                                              +
                                                                                              162 
                                                                                              +
                                                                                              164  virtual smooth_reference as_smooth_() = 0;
                                                                                              +
                                                                                              165 
                                                                                              +
                                                                                              167  virtual const_smooth_reference as_smooth_() const = 0;
                                                                                              +
                                                                                              168 };
                                                                                              +
                                                                                              169 
                                                                                              +
                                                                                              170 } // namespace tensorwrapper::shape
                                                                                              +
                                                                                              tensorwrapper::detail_::DSLBase
                                                                                              Code factorization for objects that are composable via the DSL.
                                                                                              Definition: dsl_base.hpp:35
                                                                                              tensorwrapper::detail_::PolymorphicBase
                                                                                              Defines the API polymorphic utility methods should use.
                                                                                              Definition: polymorphic_base.hpp:33
                                                                                              -
                                                                                              tensorwrapper::shape::ShapeBase
                                                                                              Code factorization for the various types of shapes.
                                                                                              Definition: shape_base.hpp:40
                                                                                              -
                                                                                              tensorwrapper::shape::ShapeBase::rank_type
                                                                                              typename traits_type::rank_type rank_type
                                                                                              Type used to hold the rank of a tensor.
                                                                                              Definition: shape_base.hpp:53
                                                                                              -
                                                                                              tensorwrapper::shape::ShapeBase::rank
                                                                                              rank_type rank() const noexcept
                                                                                              The total rank of of the tensor described by *this.
                                                                                              Definition: shape_base.hpp:84
                                                                                              -
                                                                                              tensorwrapper::shape::ShapeBase::base_pointer
                                                                                              typename traits_type::base_pointer base_pointer
                                                                                              Type of a pointer to the base of a shape object.
                                                                                              Definition: shape_base.hpp:50
                                                                                              -
                                                                                              tensorwrapper::shape::ShapeBase::size_type
                                                                                              typename traits_type::size_type size_type
                                                                                              Type used to specify the number of elements in the shape.
                                                                                              Definition: shape_base.hpp:56
                                                                                              +
                                                                                              tensorwrapper::shape::ShapeBase
                                                                                              Code factorization for the various types of shapes.
                                                                                              Definition: shape_base.hpp:42
                                                                                              +
                                                                                              tensorwrapper::shape::ShapeBase::rank_type
                                                                                              typename traits_type::rank_type rank_type
                                                                                              Type used to hold the rank of a tensor.
                                                                                              Definition: shape_base.hpp:63
                                                                                              +
                                                                                              tensorwrapper::shape::ShapeBase::rank
                                                                                              rank_type rank() const noexcept
                                                                                              The total rank of of the tensor described by *this.
                                                                                              Definition: shape_base.hpp:94
                                                                                              +
                                                                                              tensorwrapper::shape::ShapeBase::base_pointer
                                                                                              typename traits_type::base_pointer base_pointer
                                                                                              Type of a pointer to the base of a shape object.
                                                                                              Definition: shape_base.hpp:60
                                                                                              +
                                                                                              tensorwrapper::shape::ShapeBase::size_type
                                                                                              typename traits_type::size_type size_type
                                                                                              Type used to specify the number of elements in the shape.
                                                                                              Definition: shape_base.hpp:66
                                                                                              tensorwrapper::shape::ShapeBase::get_size_
                                                                                              virtual size_type get_size_() const noexcept=0
                                                                                              Used to implement size().
                                                                                              tensorwrapper::shape::ShapeBase::get_rank_
                                                                                              virtual rank_type get_rank_() const noexcept=0
                                                                                              Used to implement rank().
                                                                                              -
                                                                                              tensorwrapper::shape::ShapeBase::shape_base
                                                                                              typename traits_type::shape_base shape_base
                                                                                              Type all shapes inherit from.
                                                                                              Definition: shape_base.hpp:47
                                                                                              -
                                                                                              tensorwrapper::shape::ShapeBase::size
                                                                                              size_type size() const noexcept
                                                                                              The total number of elements in the tensor described by *this.
                                                                                              Definition: shape_base.hpp:97
                                                                                              +
                                                                                              tensorwrapper::shape::ShapeBase::shape_base
                                                                                              typename traits_type::shape_base shape_base
                                                                                              Type all shapes inherit from.
                                                                                              Definition: shape_base.hpp:57
                                                                                              +
                                                                                              tensorwrapper::shape::ShapeBase::size
                                                                                              size_type size() const noexcept
                                                                                              The total number of elements in the tensor described by *this.
                                                                                              Definition: shape_base.hpp:107
                                                                                              tensorwrapper::shape::ShapeBase::ShapeBase
                                                                                              ShapeBase() noexcept=default
                                                                                              No-op for ShapeBase because ShapeBase has no state.
                                                                                              tensorwrapper::shape::ShapeBase::as_smooth_
                                                                                              virtual smooth_reference as_smooth_()=0
                                                                                              Derived class should override to be consistent with as_smooth()
                                                                                              -
                                                                                              tensorwrapper::shape::ShapeBase::as_smooth
                                                                                              smooth_reference as_smooth()
                                                                                              Returns a view of *this as a Smooth object.
                                                                                              Definition: shape_base.hpp:112
                                                                                              -
                                                                                              tensorwrapper::shape::ShapeBase::as_smooth
                                                                                              const_smooth_reference as_smooth() const
                                                                                              Returns a read-only view of *this as a Smooth object.
                                                                                              Definition: shape_base.hpp:125
                                                                                              +
                                                                                              tensorwrapper::shape::ShapeBase::as_smooth
                                                                                              smooth_reference as_smooth()
                                                                                              Returns a view of *this as a Smooth object.
                                                                                              Definition: shape_base.hpp:122
                                                                                              +
                                                                                              tensorwrapper::shape::ShapeBase::as_smooth
                                                                                              const_smooth_reference as_smooth() const
                                                                                              Returns a read-only view of *this as a Smooth object.
                                                                                              Definition: shape_base.hpp:135
                                                                                              tensorwrapper::shape::SmoothView
                                                                                              Wraps existing state in an API compatible with SmoothView.
                                                                                              Definition: smooth_view.hpp:33
                                                                                              tensorwrapper::shape
                                                                                              Sublibrary focused on describing the geometry of the tensor.
                                                                                              Definition: shape.hpp:23
                                                                                              tensorwrapper::shape::ShapeTraits< ShapeBase >
                                                                                              Definition: shape_traits.hpp:27
                                                                                              diff --git a/tensorwrapper_cxx_api/shape__fwd_8hpp_source.html b/tensorwrapper_cxx_api/shape__fwd_8hpp_source.html index 93cb4930..73b33ed5 100644 --- a/tensorwrapper_cxx_api/shape__fwd_8hpp_source.html +++ b/tensorwrapper_cxx_api/shape__fwd_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/shape__traits_8hpp_source.html b/tensorwrapper_cxx_api/shape__traits_8hpp_source.html index 00c761f7..7cca44e8 100644 --- a/tensorwrapper_cxx_api/shape__traits_8hpp_source.html +++ b/tensorwrapper_cxx_api/shape__traits_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              @@ -142,7 +142,7 @@
                                                                                              70 };
                                                                                              71 
                                                                                              72 } // namespace tensorwrapper::shape
                                                                                              -
                                                                                              tensorwrapper::shape::ShapeBase
                                                                                              Code factorization for the various types of shapes.
                                                                                              Definition: shape_base.hpp:40
                                                                                              +
                                                                                              tensorwrapper::shape::ShapeBase
                                                                                              Code factorization for the various types of shapes.
                                                                                              Definition: shape_base.hpp:42
                                                                                              tensorwrapper::shape::SmoothView
                                                                                              Wraps existing state in an API compatible with SmoothView.
                                                                                              Definition: smooth_view.hpp:33
                                                                                              tensorwrapper::shape::Smooth
                                                                                              Describes the shape of a "traditional" tensor.
                                                                                              Definition: smooth.hpp:32
                                                                                              tensorwrapper::shape::detail_::SmoothViewPIMPL
                                                                                              Defines the API for all SmoothView PIMPLs.
                                                                                              Definition: smooth_view_pimpl.hpp:32
                                                                                              diff --git a/tensorwrapper_cxx_api/smooth_8hpp_source.html b/tensorwrapper_cxx_api/smooth_8hpp_source.html index b0a49070..4ec5e16d 100644 --- a/tensorwrapper_cxx_api/smooth_8hpp_source.html +++ b/tensorwrapper_cxx_api/smooth_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              @@ -158,37 +158,68 @@
                                                                                              177  return are_equal_impl_<Smooth>(rhs);
                                                                                              178  }
                                                                                              179 
                                                                                              -
                                                                                              180 private:
                                                                                              -
                                                                                              182  using extents_type = std::vector<size_type>;
                                                                                              -
                                                                                              183 
                                                                                              -
                                                                                              185  explicit Smooth(extents_type extents) : m_extents_(std::move(extents)) {}
                                                                                              -
                                                                                              186 
                                                                                              -
                                                                                              188  extents_type m_extents_;
                                                                                              -
                                                                                              189 };
                                                                                              -
                                                                                              190 
                                                                                              -
                                                                                              191 } // namespace tensorwrapper::shape
                                                                                              -
                                                                                              tensorwrapper::shape::ShapeBase
                                                                                              Code factorization for the various types of shapes.
                                                                                              Definition: shape_base.hpp:40
                                                                                              -
                                                                                              tensorwrapper::shape::ShapeBase::rank_type
                                                                                              typename traits_type::rank_type rank_type
                                                                                              Type used to hold the rank of a tensor.
                                                                                              Definition: shape_base.hpp:53
                                                                                              -
                                                                                              tensorwrapper::shape::ShapeBase::const_smooth_reference
                                                                                              SmoothView< const Smooth > const_smooth_reference
                                                                                              Type of an object acting like a read-only reference to a Smooth shape.
                                                                                              Definition: shape_base.hpp:62
                                                                                              -
                                                                                              tensorwrapper::shape::ShapeBase::base_pointer
                                                                                              typename traits_type::base_pointer base_pointer
                                                                                              Type of a pointer to the base of a shape object.
                                                                                              Definition: shape_base.hpp:50
                                                                                              -
                                                                                              tensorwrapper::shape::ShapeBase::smooth_reference
                                                                                              SmoothView< Smooth > smooth_reference
                                                                                              Type of an object acting like a mutable reference to a Smooth shape.
                                                                                              Definition: shape_base.hpp:59
                                                                                              -
                                                                                              tensorwrapper::shape::ShapeBase::size_type
                                                                                              typename traits_type::size_type size_type
                                                                                              Type used to specify the number of elements in the shape.
                                                                                              Definition: shape_base.hpp:56
                                                                                              +
                                                                                              181  dsl_reference addition_assignment_(label_type this_labels,
                                                                                              +
                                                                                              182  const_labeled_reference lhs,
                                                                                              +
                                                                                              183  const_labeled_reference rhs) override;
                                                                                              +
                                                                                              184 
                                                                                              +
                                                                                              186  dsl_reference subtraction_assignment_(label_type this_labels,
                                                                                              +
                                                                                              187  const_labeled_reference lhs,
                                                                                              +
                                                                                              188  const_labeled_reference rhs) override;
                                                                                              +
                                                                                              189 
                                                                                              +
                                                                                              191  dsl_reference multiplication_assignment_(
                                                                                              +
                                                                                              192  label_type this_labels, const_labeled_reference lhs,
                                                                                              +
                                                                                              193  const_labeled_reference rhs) override;
                                                                                              +
                                                                                              194 
                                                                                              +
                                                                                              196  dsl_reference permute_assignment_(label_type this_labels,
                                                                                              +
                                                                                              197  const_labeled_reference rhs) override;
                                                                                              +
                                                                                              198 
                                                                                              +
                                                                                              200  typename polymorphic_base_type::string_type to_string_() const override {
                                                                                              +
                                                                                              201  using str_type = typename polymorphic_base_type::string_type;
                                                                                              +
                                                                                              202  str_type buffer("{");
                                                                                              +
                                                                                              203  for(auto x : m_extents_) buffer += str_type(" ") + std::to_string(x);
                                                                                              +
                                                                                              204  buffer += str_type("}");
                                                                                              +
                                                                                              205  return buffer;
                                                                                              +
                                                                                              206  }
                                                                                              +
                                                                                              207 
                                                                                              +
                                                                                              208 private:
                                                                                              +
                                                                                              210  using extents_type = std::vector<size_type>;
                                                                                              +
                                                                                              211 
                                                                                              +
                                                                                              213  explicit Smooth(extents_type extents) : m_extents_(std::move(extents)) {}
                                                                                              +
                                                                                              214 
                                                                                              +
                                                                                              216  extents_type m_extents_;
                                                                                              +
                                                                                              217 };
                                                                                              +
                                                                                              218 
                                                                                              +
                                                                                              219 } // namespace tensorwrapper::shape
                                                                                              +
                                                                                              tensorwrapper::detail_::DSLBase< ShapeBase >::label_type
                                                                                              typename labeled_type::label_type label_type
                                                                                              Type of parsed labels.
                                                                                              Definition: dsl_base.hpp:62
                                                                                              +
                                                                                              tensorwrapper::detail_::DSLBase< ShapeBase >::const_labeled_reference
                                                                                              const labeled_const_type & const_labeled_reference
                                                                                              Type of a read-only reference to a labeled_type object.
                                                                                              Definition: dsl_base.hpp:65
                                                                                              +
                                                                                              tensorwrapper::detail_::PolymorphicBase< ShapeBase >::string_type
                                                                                              std::string string_type
                                                                                              Type used for representing *this as a string.
                                                                                              Definition: polymorphic_base.hpp:54
                                                                                              +
                                                                                              tensorwrapper::shape::ShapeBase
                                                                                              Code factorization for the various types of shapes.
                                                                                              Definition: shape_base.hpp:42
                                                                                              +
                                                                                              tensorwrapper::shape::ShapeBase::rank_type
                                                                                              typename traits_type::rank_type rank_type
                                                                                              Type used to hold the rank of a tensor.
                                                                                              Definition: shape_base.hpp:63
                                                                                              +
                                                                                              tensorwrapper::shape::ShapeBase::const_smooth_reference
                                                                                              SmoothView< const Smooth > const_smooth_reference
                                                                                              Type of an object acting like a read-only reference to a Smooth shape.
                                                                                              Definition: shape_base.hpp:72
                                                                                              +
                                                                                              tensorwrapper::shape::ShapeBase::base_pointer
                                                                                              typename traits_type::base_pointer base_pointer
                                                                                              Type of a pointer to the base of a shape object.
                                                                                              Definition: shape_base.hpp:60
                                                                                              +
                                                                                              tensorwrapper::shape::ShapeBase::smooth_reference
                                                                                              SmoothView< Smooth > smooth_reference
                                                                                              Type of an object acting like a mutable reference to a Smooth shape.
                                                                                              Definition: shape_base.hpp:69
                                                                                              +
                                                                                              tensorwrapper::shape::ShapeBase::size_type
                                                                                              typename traits_type::size_type size_type
                                                                                              Type used to specify the number of elements in the shape.
                                                                                              Definition: shape_base.hpp:66
                                                                                              tensorwrapper::shape::SmoothView
                                                                                              Wraps existing state in an API compatible with SmoothView.
                                                                                              Definition: smooth_view.hpp:33
                                                                                              tensorwrapper::shape::Smooth
                                                                                              Describes the shape of a "traditional" tensor.
                                                                                              Definition: smooth.hpp:32
                                                                                              tensorwrapper::shape::Smooth::get_rank_
                                                                                              rank_type get_rank_() const noexcept override
                                                                                              Implement rank by counting number of extents held by *this.
                                                                                              Definition: smooth.hpp:159
                                                                                              -
                                                                                              tensorwrapper::shape::Smooth::rank_type
                                                                                              typename traits_type::rank_type rank_type
                                                                                              Type used to hold the rank of a tensor.
                                                                                              Definition: shape_base.hpp:53
                                                                                              +
                                                                                              tensorwrapper::shape::Smooth::rank_type
                                                                                              typename traits_type::rank_type rank_type
                                                                                              Type used to hold the rank of a tensor.
                                                                                              Definition: shape_base.hpp:63
                                                                                              tensorwrapper::shape::Smooth::operator==
                                                                                              bool operator==(const Smooth &rhs) const noexcept
                                                                                              Is *this the same shape as rhs?
                                                                                              Definition: smooth.hpp:129
                                                                                              tensorwrapper::shape::Smooth::swap
                                                                                              void swap(Smooth &other) noexcept
                                                                                              Exchanges the state in *this with that of other.
                                                                                              Definition: smooth.hpp:112
                                                                                              +
                                                                                              tensorwrapper::shape::Smooth::subtraction_assignment_
                                                                                              dsl_reference subtraction_assignment_(label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs) override
                                                                                              Implements subtraction_assignment via permute_assignment.
                                                                                              Definition: smooth.cpp:35
                                                                                              tensorwrapper::shape::Smooth::operator!=
                                                                                              bool operator!=(const Smooth &rhs) const noexcept
                                                                                              Is *this different from rhs?
                                                                                              Definition: smooth.hpp:148
                                                                                              tensorwrapper::shape::Smooth::as_smooth_
                                                                                              smooth_reference as_smooth_() override
                                                                                              Derived class should override to be consistent with as_smooth()
                                                                                              Definition: smooth.hpp:169
                                                                                              tensorwrapper::shape::Smooth::~Smooth
                                                                                              ~Smooth() noexcept=default
                                                                                              Defaulted no-throw dtor.
                                                                                              +
                                                                                              tensorwrapper::shape::Smooth::multiplication_assignment_
                                                                                              dsl_reference multiplication_assignment_(label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs) override
                                                                                              Implements multiplication_assignment via permute_assignment.
                                                                                              Definition: smooth.cpp:46
                                                                                              tensorwrapper::shape::Smooth::as_smooth_
                                                                                              virtual const_smooth_reference as_smooth_() const override
                                                                                              Derived class should override to be consistent with as_smooth() const.
                                                                                              Definition: smooth.hpp:171
                                                                                              +
                                                                                              tensorwrapper::shape::Smooth::to_string_
                                                                                              polymorphic_base_type::string_type to_string_() const override
                                                                                              Implements to_string.
                                                                                              Definition: smooth.hpp:200
                                                                                              tensorwrapper::shape::Smooth::are_equal_
                                                                                              bool are_equal_(const ShapeBase &rhs) const noexcept override
                                                                                              Implements are_equal by calling ShapeBase::are_equal_impl_.
                                                                                              Definition: smooth.hpp:176
                                                                                              tensorwrapper::shape::Smooth::Smooth
                                                                                              Smooth(std::initializer_list< size_type > il)
                                                                                              Constructs *this with a statically specified number of extents.
                                                                                              Definition: smooth.hpp:53
                                                                                              tensorwrapper::shape::Smooth::extent
                                                                                              rank_type extent(size_type i) const
                                                                                              Returns the extent of the i -th mode.
                                                                                              Definition: smooth.hpp:98
                                                                                              tensorwrapper::shape::Smooth::Smooth
                                                                                              Smooth(BeginItrType &&begin, EndItrType &&end)
                                                                                              Range ctor.
                                                                                              Definition: smooth.hpp:77
                                                                                              +
                                                                                              tensorwrapper::shape::Smooth::permute_assignment_
                                                                                              dsl_reference permute_assignment_(label_type this_labels, const_labeled_reference rhs) override
                                                                                              Implements permute_assignment by permuting the extents in rhs.
                                                                                              Definition: smooth.cpp:73
                                                                                              tensorwrapper::shape::Smooth::get_size_
                                                                                              size_type get_size_() const noexcept override
                                                                                              Implement size by taking the product of the extents held by *this.
                                                                                              Definition: smooth.hpp:164
                                                                                              tensorwrapper::shape::Smooth::clone_
                                                                                              base_pointer clone_() const override
                                                                                              Implement clone() by calling copy ctor.
                                                                                              Definition: smooth.hpp:154
                                                                                              +
                                                                                              tensorwrapper::shape::Smooth::addition_assignment_
                                                                                              dsl_reference addition_assignment_(label_type this_labels, const_labeled_reference lhs, const_labeled_reference rhs) override
                                                                                              Implements addition_assignment via permute_assignment.
                                                                                              Definition: smooth.cpp:24
                                                                                              tensorwrapper::shape
                                                                                              Sublibrary focused on describing the geometry of the tensor.
                                                                                              Definition: shape.hpp:23
                                                                                              diff --git a/tensorwrapper_cxx_api/smooth__alias_8hpp_source.html b/tensorwrapper_cxx_api/smooth__alias_8hpp_source.html index e1261b0a..afa04c40 100644 --- a/tensorwrapper_cxx_api/smooth__alias_8hpp_source.html +++ b/tensorwrapper_cxx_api/smooth__alias_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              @@ -133,7 +133,7 @@
                                                                                              84 };
                                                                                              85 
                                                                                              86 } // namespace tensorwrapper::shape::detail_
                                                                                              -
                                                                                              tensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >::base_pointer
                                                                                              std::unique_ptr< base_type > base_pointer
                                                                                              Pointer to an object of type base_type.
                                                                                              Definition: polymorphic_base.hpp:45
                                                                                              +
                                                                                              tensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >::base_pointer
                                                                                              std::unique_ptr< base_type > base_pointer
                                                                                              Pointer to an object of type base_type.
                                                                                              Definition: polymorphic_base.hpp:48
                                                                                              tensorwrapper::detail_::PolymorphicBase< SmoothViewPIMPL< SmoothType > >::base_type
                                                                                              SmoothViewPIMPL< SmoothType > base_type
                                                                                              Type *this is implementing.
                                                                                              Definition: polymorphic_base.hpp:36
                                                                                              tensorwrapper::shape::detail_::SmoothAlias
                                                                                              Implements SmoothView by wrapping a Smooth object.
                                                                                              Definition: smooth_alias.hpp:33
                                                                                              tensorwrapper::shape::detail_::SmoothAlias::clone_
                                                                                              base_pointer clone_() const override
                                                                                              Implemented by calling deep copy ctor.
                                                                                              Definition: smooth_alias.hpp:62
                                                                                              diff --git a/tensorwrapper_cxx_api/smooth__view_8hpp_source.html b/tensorwrapper_cxx_api/smooth__view_8hpp_source.html index 90c545c7..4cd06531 100644 --- a/tensorwrapper_cxx_api/smooth__view_8hpp_source.html +++ b/tensorwrapper_cxx_api/smooth__view_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/smooth__view__pimpl_8hpp_source.html b/tensorwrapper_cxx_api/smooth__view__pimpl_8hpp_source.html index c74542e8..64f40217 100644 --- a/tensorwrapper_cxx_api/smooth__view__pimpl_8hpp_source.html +++ b/tensorwrapper_cxx_api/smooth__view__pimpl_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/sparsity_8hpp_source.html b/tensorwrapper_cxx_api/sparsity_8hpp_source.html index a86c9833..24831558 100644 --- a/tensorwrapper_cxx_api/sparsity_8hpp_source.html +++ b/tensorwrapper_cxx_api/sparsity_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              @@ -90,7 +90,7 @@
                                                                                              18 #include <tensorwrapper/sparsity/pattern.hpp>
                                                                                              19 
                                                                                              23 namespace tensorwrapper::sparsity {}
                                                                                              -
                                                                                              tensorwrapper::sparsity
                                                                                              Namespace containing classes used to express the sparsity of a tensor.
                                                                                              Definition: pattern.hpp:19
                                                                                              +
                                                                                              tensorwrapper::sparsity
                                                                                              Namespace containing classes used to express the sparsity of a tensor.
                                                                                              Definition: pattern.hpp:21
                                                                                              diff --git a/tensorwrapper_cxx_api/structtensorwrapper_1_1detail___1_1IsTuple.html b/tensorwrapper_cxx_api/structtensorwrapper_1_1detail___1_1IsTuple.html index 2b1a1e26..f611275b 100644 --- a/tensorwrapper_cxx_api/structtensorwrapper_1_1detail___1_1IsTuple.html +++ b/tensorwrapper_cxx_api/structtensorwrapper_1_1detail___1_1IsTuple.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/structtensorwrapper_1_1detail___1_1IsTuple_3_01std_1_1tuple_3_01Args_8_8_8_01_4_01_4.html b/tensorwrapper_cxx_api/structtensorwrapper_1_1detail___1_1IsTuple_3_01std_1_1tuple_3_01Args_8_8_8_01_4_01_4.html index e1eb876c..31eca945 100644 --- a/tensorwrapper_cxx_api/structtensorwrapper_1_1detail___1_1IsTuple_3_01std_1_1tuple_3_01Args_8_8_8_01_4_01_4.html +++ b/tensorwrapper_cxx_api/structtensorwrapper_1_1detail___1_1IsTuple_3_01std_1_1tuple_3_01Args_8_8_8_01_4_01_4.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/structtensorwrapper_1_1detail___1_1TensorInput-members.html b/tensorwrapper_cxx_api/structtensorwrapper_1_1detail___1_1TensorInput-members.html index 6fc44673..c768016a 100644 --- a/tensorwrapper_cxx_api/structtensorwrapper_1_1detail___1_1TensorInput-members.html +++ b/tensorwrapper_cxx_api/structtensorwrapper_1_1detail___1_1TensorInput-members.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/structtensorwrapper_1_1detail___1_1TensorInput.html b/tensorwrapper_cxx_api/structtensorwrapper_1_1detail___1_1TensorInput.html index 4a6f873a..b1251b6a 100644 --- a/tensorwrapper_cxx_api/structtensorwrapper_1_1detail___1_1TensorInput.html +++ b/tensorwrapper_cxx_api/structtensorwrapper_1_1detail___1_1TensorInput.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits.html b/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits.html index 065a3c6b..385f876e 100644 --- a/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits.html +++ b/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01ShapeBase_01_4-members.html b/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01ShapeBase_01_4-members.html index c882b70f..732295f0 100644 --- a/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01ShapeBase_01_4-members.html +++ b/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01ShapeBase_01_4-members.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01ShapeBase_01_4.html b/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01ShapeBase_01_4.html index 5cbe7bd9..3450e3b1 100644 --- a/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01ShapeBase_01_4.html +++ b/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01ShapeBase_01_4.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01SmoothView_3_01T_01_4_01_4-members.html b/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01SmoothView_3_01T_01_4_01_4-members.html index ff273435..463b416e 100644 --- a/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01SmoothView_3_01T_01_4_01_4-members.html +++ b/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01SmoothView_3_01T_01_4_01_4-members.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01SmoothView_3_01T_01_4_01_4.html b/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01SmoothView_3_01T_01_4_01_4.html index d1c85a6e..c2a2cab2 100644 --- a/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01SmoothView_3_01T_01_4_01_4.html +++ b/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01SmoothView_3_01T_01_4_01_4.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01Smooth_01_4-members.html b/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01Smooth_01_4-members.html index 7cdf928c..3b0d3410 100644 --- a/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01Smooth_01_4-members.html +++ b/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01Smooth_01_4-members.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01Smooth_01_4.html b/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01Smooth_01_4.html index 850f1ce6..bd69d95c 100644 --- a/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01Smooth_01_4.html +++ b/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01Smooth_01_4.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01const_01ShapeBase_01_4-members.html b/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01const_01ShapeBase_01_4-members.html index e0eaddf2..e82edaf3 100644 --- a/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01const_01ShapeBase_01_4-members.html +++ b/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01const_01ShapeBase_01_4-members.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01const_01ShapeBase_01_4.html b/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01const_01ShapeBase_01_4.html index 80b933ad..9af7c2a8 100644 --- a/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01const_01ShapeBase_01_4.html +++ b/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01const_01ShapeBase_01_4.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01const_01Smooth_01_4-members.html b/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01const_01Smooth_01_4-members.html index 2aad1c0f..49048b7d 100644 --- a/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01const_01Smooth_01_4-members.html +++ b/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01const_01Smooth_01_4-members.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01const_01Smooth_01_4.html b/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01const_01Smooth_01_4.html index bc1729f1..d23ad6b6 100644 --- a/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01const_01Smooth_01_4.html +++ b/tensorwrapper_cxx_api/structtensorwrapper_1_1shape_1_1ShapeTraits_3_01const_01Smooth_01_4.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/symmetry_8hpp_source.html b/tensorwrapper_cxx_api/symmetry_8hpp_source.html index 1c6d6998..b7e57e73 100644 --- a/tensorwrapper_cxx_api/symmetry_8hpp_source.html +++ b/tensorwrapper_cxx_api/symmetry_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              @@ -92,7 +92,7 @@
                                                                                              20 #include <tensorwrapper/symmetry/permutation.hpp>
                                                                                              21 
                                                                                              25 namespace tensorwrapper::symmetry {}
                                                                                              -
                                                                                              tensorwrapper::symmetry
                                                                                              Sublibrary providing classes for describing the symmetry of a tensor.
                                                                                              Definition: group.hpp:22
                                                                                              +
                                                                                              tensorwrapper::symmetry
                                                                                              Sublibrary providing classes for describing the symmetry of a tensor.
                                                                                              Definition: group.hpp:25
                                                                                              diff --git a/tensorwrapper_cxx_api/tensor_8hpp_source.html b/tensorwrapper_cxx_api/tensor_8hpp_source.html index 46a7f912..71959b2e 100644 --- a/tensorwrapper_cxx_api/tensor_8hpp_source.html +++ b/tensorwrapper_cxx_api/tensor_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/tensor__class_8hpp_source.html b/tensorwrapper_cxx_api/tensor__class_8hpp_source.html index 744381a6..973a926e 100644 --- a/tensorwrapper_cxx_api/tensor__class_8hpp_source.html +++ b/tensorwrapper_cxx_api/tensor__class_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              @@ -145,103 +145,77 @@
                                                                                              95 
                                                                                              97  using tensor4_il_type = std::initializer_list<tensor3_il_type>;
                                                                                              98 
                                                                                              -
                                                                                              100  using label_type = std::string;
                                                                                              -
                                                                                              101 
                                                                                              -
                                                                                              103  using const_label_reference = const label_type&;
                                                                                              -
                                                                                              104 
                                                                                              -
                                                                                              106  using labeled_tensor_type = dsl::Labeled<Tensor, label_type>;
                                                                                              -
                                                                                              107 
                                                                                              -
                                                                                              109  using const_labeled_tensor_type = dsl::Labeled<const Tensor, label_type>;
                                                                                              -
                                                                                              110 
                                                                                              -
                                                                                              111  // Tensor() : Tensor(input_type{}) {}
                                                                                              -
                                                                                              112 
                                                                                              -
                                                                                              128  explicit Tensor(input_type input);
                                                                                              -
                                                                                              129 
                                                                                              -
                                                                                              185  template<typename... Args,
                                                                                              -
                                                                                              186  typename = enable_if_no_tensors_t<std::decay_t<Args>...>>
                                                                                              -
                                                                                              187  Tensor(Args&&... args) : Tensor(input_type{std::forward<Args>(args)...}) {}
                                                                                              -
                                                                                              188 
                                                                                              -
                                                                                              217  explicit Tensor(scalar_il_type il);
                                                                                              -
                                                                                              218  Tensor(vector_il_type il);
                                                                                              -
                                                                                              219  Tensor(matrix_il_type il);
                                                                                              -
                                                                                              220  Tensor(tensor3_il_type il);
                                                                                              -
                                                                                              221  Tensor(tensor4_il_type il);
                                                                                              -
                                                                                              223 
                                                                                              -
                                                                                              231  Tensor(const Tensor& other);
                                                                                              -
                                                                                              232 
                                                                                              -
                                                                                              240  Tensor(Tensor&& other) noexcept;
                                                                                              -
                                                                                              241 
                                                                                              -
                                                                                              255  Tensor& operator=(const Tensor& rhs);
                                                                                              -
                                                                                              256 
                                                                                              -
                                                                                              270  Tensor& operator=(Tensor&& rhs) noexcept;
                                                                                              -
                                                                                              271 
                                                                                              -
                                                                                              273  ~Tensor() noexcept;
                                                                                              -
                                                                                              274 
                                                                                              -
                                                                                              288  const_logical_reference logical_layout() const;
                                                                                              +
                                                                                              114  explicit Tensor(input_type input);
                                                                                              +
                                                                                              115 
                                                                                              +
                                                                                              171  template<typename... Args,
                                                                                              +
                                                                                              172  typename = enable_if_no_tensors_t<std::decay_t<Args>...>>
                                                                                              +
                                                                                              173  Tensor(Args&&... args) : Tensor(input_type{std::forward<Args>(args)...}) {}
                                                                                              +
                                                                                              174 
                                                                                              +
                                                                                              203  explicit Tensor(scalar_il_type il);
                                                                                              +
                                                                                              204  Tensor(vector_il_type il);
                                                                                              +
                                                                                              205  Tensor(matrix_il_type il);
                                                                                              +
                                                                                              206  Tensor(tensor3_il_type il);
                                                                                              +
                                                                                              207  Tensor(tensor4_il_type il);
                                                                                              +
                                                                                              209 
                                                                                              +
                                                                                              217  Tensor(const Tensor& other);
                                                                                              +
                                                                                              218 
                                                                                              +
                                                                                              226  Tensor(Tensor&& other) noexcept;
                                                                                              +
                                                                                              227 
                                                                                              +
                                                                                              241  Tensor& operator=(const Tensor& rhs);
                                                                                              +
                                                                                              242 
                                                                                              +
                                                                                              256  Tensor& operator=(Tensor&& rhs) noexcept;
                                                                                              +
                                                                                              257 
                                                                                              +
                                                                                              259  ~Tensor() noexcept;
                                                                                              +
                                                                                              260 
                                                                                              +
                                                                                              274  const_logical_reference logical_layout() const;
                                                                                              +
                                                                                              275 
                                                                                              +
                                                                                              288  buffer_reference buffer();
                                                                                              289 
                                                                                              -
                                                                                              302  buffer_reference buffer();
                                                                                              -
                                                                                              303 
                                                                                              -
                                                                                              314  const_buffer_reference buffer() const;
                                                                                              +
                                                                                              300  const_buffer_reference buffer() const;
                                                                                              +
                                                                                              301 
                                                                                              +
                                                                                              302  // -------------------------------------------------------------------------
                                                                                              +
                                                                                              303  // -- Utility methods
                                                                                              +
                                                                                              304  // -------------------------------------------------------------------------
                                                                                              +
                                                                                              305 
                                                                                              +
                                                                                              314  void swap(Tensor& other) noexcept;
                                                                                              315 
                                                                                              -
                                                                                              334  labeled_tensor_type operator()(const_label_reference labels) {
                                                                                              -
                                                                                              335  return labeled_tensor_type(*this, labels);
                                                                                              -
                                                                                              336  }
                                                                                              -
                                                                                              337 
                                                                                              -
                                                                                              348  const_labeled_tensor_type operator()(const_label_reference labels) const {
                                                                                              -
                                                                                              349  return const_labeled_tensor_type(*this, labels);
                                                                                              -
                                                                                              350  }
                                                                                              -
                                                                                              351 
                                                                                              -
                                                                                              352  // -------------------------------------------------------------------------
                                                                                              -
                                                                                              353  // -- Utility methods
                                                                                              -
                                                                                              354  // -------------------------------------------------------------------------
                                                                                              -
                                                                                              355 
                                                                                              -
                                                                                              364  void swap(Tensor& other) noexcept;
                                                                                              -
                                                                                              365 
                                                                                              -
                                                                                              382  bool operator==(const Tensor& rhs) const noexcept;
                                                                                              -
                                                                                              383 
                                                                                              -
                                                                                              395  bool operator!=(const Tensor& rhs) const noexcept;
                                                                                              -
                                                                                              396 
                                                                                              -
                                                                                              397 private:
                                                                                              -
                                                                                              399  Tensor(pimpl_pointer pimpl) noexcept;
                                                                                              -
                                                                                              400 
                                                                                              -
                                                                                              402  bool has_pimpl_() const noexcept;
                                                                                              -
                                                                                              403 
                                                                                              -
                                                                                              405  void assert_pimpl_() const;
                                                                                              -
                                                                                              406 
                                                                                              -
                                                                                              408  pimpl_pointer m_pimpl_;
                                                                                              -
                                                                                              409 };
                                                                                              -
                                                                                              410 
                                                                                              -
                                                                                              411 } // namespace tensorwrapper
                                                                                              +
                                                                                              332  bool operator==(const Tensor& rhs) const noexcept;
                                                                                              +
                                                                                              333 
                                                                                              +
                                                                                              345  bool operator!=(const Tensor& rhs) const noexcept;
                                                                                              +
                                                                                              346 
                                                                                              +
                                                                                              347 private:
                                                                                              +
                                                                                              349  Tensor(pimpl_pointer pimpl) noexcept;
                                                                                              +
                                                                                              350 
                                                                                              +
                                                                                              352  bool has_pimpl_() const noexcept;
                                                                                              +
                                                                                              353 
                                                                                              +
                                                                                              355  void assert_pimpl_() const;
                                                                                              +
                                                                                              356 
                                                                                              +
                                                                                              358  pimpl_pointer m_pimpl_;
                                                                                              +
                                                                                              359 };
                                                                                              +
                                                                                              360 
                                                                                              +
                                                                                              361 } // namespace tensorwrapper
                                                                                              tensorwrapper::Tensor
                                                                                              Represents a multi-dimensional array of values.
                                                                                              Definition: tensor_class.hpp:37
                                                                                              -
                                                                                              tensorwrapper::Tensor::const_label_reference
                                                                                              const label_type & const_label_reference
                                                                                              Type of a read-only reference to an object of type label_type.
                                                                                              Definition: tensor_class.hpp:103
                                                                                              tensorwrapper::Tensor::const_buffer_pointer
                                                                                              input_type::const_buffer_pointer const_buffer_pointer
                                                                                              Type of a pointer to a read-only buffer.
                                                                                              Definition: tensor_class.hpp:82
                                                                                              tensorwrapper::Tensor::Tensor
                                                                                              Tensor(Tensor &&other) noexcept
                                                                                              Initializes *this with the state in other.
                                                                                              -
                                                                                              tensorwrapper::Tensor::const_labeled_tensor_type
                                                                                              dsl::Labeled< const Tensor, label_type > const_labeled_tensor_type
                                                                                              Type of a read-only labeled tensor.
                                                                                              Definition: tensor_class.hpp:109
                                                                                              tensorwrapper::Tensor::tensor3_il_type
                                                                                              std::initializer_list< matrix_il_type > tensor3_il_type
                                                                                              Type of an initializer list if *this is a rank 3 tensor.
                                                                                              Definition: tensor_class.hpp:94
                                                                                              tensorwrapper::Tensor::const_buffer_reference
                                                                                              input_type::const_buffer_reference const_buffer_reference
                                                                                              Type of a read-only reference to the tensor's buffer.
                                                                                              Definition: tensor_class.hpp:76
                                                                                              tensorwrapper::Tensor::buffer
                                                                                              buffer_reference buffer()
                                                                                              Mutable access to the tensor's buffer.
                                                                                              Definition: tensor_class.cpp:68
                                                                                              tensorwrapper::Tensor::buffer_reference
                                                                                              input_type::buffer_reference buffer_reference
                                                                                              Type of a mutable reference to the tensor's buffer.
                                                                                              Definition: tensor_class.hpp:73
                                                                                              -
                                                                                              tensorwrapper::Tensor::labeled_tensor_type
                                                                                              dsl::Labeled< Tensor, label_type > labeled_tensor_type
                                                                                              Type of a labeled tensor.
                                                                                              Definition: tensor_class.hpp:106
                                                                                              tensorwrapper::Tensor::logical_layout_pointer
                                                                                              input_type::logical_layout_pointer logical_layout_pointer
                                                                                              Type of a pointer to the tensor's logical layout.
                                                                                              Definition: tensor_class.hpp:70
                                                                                              -
                                                                                              tensorwrapper::Tensor::Tensor
                                                                                              Tensor(Args &&... args)
                                                                                              Variadic value ctor.
                                                                                              Definition: tensor_class.hpp:187
                                                                                              +
                                                                                              tensorwrapper::Tensor::Tensor
                                                                                              Tensor(Args &&... args)
                                                                                              Variadic value ctor.
                                                                                              Definition: tensor_class.hpp:173
                                                                                              tensorwrapper::Tensor::swap
                                                                                              void swap(Tensor &other) noexcept
                                                                                              Exchanges the state of *this with the state of other.
                                                                                              Definition: tensor_class.cpp:80
                                                                                              tensorwrapper::Tensor::vector_il_type
                                                                                              std::initializer_list< scalar_il_type > vector_il_type
                                                                                              Type of an initializer list if *this is a vector.
                                                                                              Definition: tensor_class.hpp:88
                                                                                              -
                                                                                              tensorwrapper::Tensor::label_type
                                                                                              std::string label_type
                                                                                              Type of a label.
                                                                                              Definition: tensor_class.hpp:100
                                                                                              tensorwrapper::Tensor::~Tensor
                                                                                              ~Tensor() noexcept
                                                                                              Defaulted no-throw dtor.
                                                                                              tensorwrapper::Tensor::pimpl_pointer
                                                                                              std::unique_ptr< pimpl_type > pimpl_pointer
                                                                                              Type of a pointer to an object of type pimpl_type.
                                                                                              Definition: tensor_class.hpp:61
                                                                                              tensorwrapper::Tensor::scalar_il_type
                                                                                              double scalar_il_type
                                                                                              Type of an initializer list if *this is a scalar.
                                                                                              Definition: tensor_class.hpp:85
                                                                                              tensorwrapper::Tensor::buffer_pointer
                                                                                              input_type::buffer_pointer buffer_pointer
                                                                                              Type of a pointer to the tensor's buffer.
                                                                                              Definition: tensor_class.hpp:79
                                                                                              tensorwrapper::Tensor::logical_layout
                                                                                              const_logical_reference logical_layout() const
                                                                                              Read-only access to the tensor's logical layout.
                                                                                              Definition: tensor_class.cpp:63
                                                                                              -
                                                                                              tensorwrapper::Tensor::operator!=
                                                                                              bool operator!=(const Tensor &rhs) const noexcept
                                                                                              Is this different from rhs?
                                                                                              Definition: tensor_class.cpp:88
                                                                                              -
                                                                                              tensorwrapper::Tensor::operator()
                                                                                              const_labeled_tensor_type operator()(const_label_reference labels) const
                                                                                              Associates labels with the modes of *this.
                                                                                              Definition: tensor_class.hpp:348
                                                                                              tensorwrapper::Tensor::matrix_il_type
                                                                                              std::initializer_list< vector_il_type > matrix_il_type
                                                                                              Type of an initializer list if *this is a matrix.
                                                                                              Definition: tensor_class.hpp:91
                                                                                              -
                                                                                              tensorwrapper::Tensor::operator==
                                                                                              bool operator==(const Tensor &rhs) const noexcept
                                                                                              Is *this value equal to rhs?
                                                                                              Definition: tensor_class.cpp:82
                                                                                              tensorwrapper::Tensor::Tensor
                                                                                              Tensor(input_type input)
                                                                                              Initializes *this by processing the input provided in input.
                                                                                              tensorwrapper::Tensor::operator=
                                                                                              Tensor & operator=(Tensor &&rhs) noexcept
                                                                                              Overwrites the state of *this with the state of rhs.
                                                                                              tensorwrapper::Tensor::tensor4_il_type
                                                                                              std::initializer_list< tensor3_il_type > tensor4_il_type
                                                                                              Type of an initializer list if *this is a rank 4 tensor.
                                                                                              Definition: tensor_class.hpp:97
                                                                                              tensorwrapper::Tensor::operator=
                                                                                              Tensor & operator=(const Tensor &rhs)
                                                                                              Overwrites the state of *this with a deep copy of rhs.
                                                                                              Definition: tensor_class.cpp:52
                                                                                              tensorwrapper::detail_::TensorPIMPL
                                                                                              Actually implements a Tensor object.
                                                                                              Definition: tensor_pimpl.hpp:28
                                                                                              -
                                                                                              tensorwrapper::dsl::Labeled
                                                                                              Represents an object whose modes are assigned dummy indices.
                                                                                              Definition: labeled.hpp:29
                                                                                              tensorwrapper::layout::Logical
                                                                                              Specializes a LayoutBase for a layout describing how a user wants to view the tensor.
                                                                                              Definition: logical.hpp:27
                                                                                              tensorwrapper
                                                                                              Contains the components of the TensorWrapper library.
                                                                                              Definition: allocator.hpp:24
                                                                                              tensorwrapper::detail_::IsTuple
                                                                                              Definition: tensor_class.hpp:26
                                                                                              diff --git a/tensorwrapper_cxx_api/tensor__factory_8hpp_source.html b/tensorwrapper_cxx_api/tensor__factory_8hpp_source.html index 34999aca..40b3e415 100644 --- a/tensorwrapper_cxx_api/tensor__factory_8hpp_source.html +++ b/tensorwrapper_cxx_api/tensor__factory_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/tensor__input_8hpp_source.html b/tensorwrapper_cxx_api/tensor__input_8hpp_source.html index ce824be0..6bb92327 100644 --- a/tensorwrapper_cxx_api/tensor__input_8hpp_source.html +++ b/tensorwrapper_cxx_api/tensor__input_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              @@ -267,7 +267,7 @@
                                                                                              tensorwrapper::allocator::AllocatorBase::runtime_view_type
                                                                                              parallelzone::runtime::RuntimeView runtime_view_type
                                                                                              Type of a view of the runtime system.
                                                                                              Definition: allocator_base.hpp:40
                                                                                              tensorwrapper::allocator::AllocatorBase::buffer_base_type
                                                                                              buffer::BufferBase buffer_base_type
                                                                                              Type all buffers derive from.
                                                                                              Definition: allocator_base.hpp:55
                                                                                              tensorwrapper::detail_::PolymorphicBase< AllocatorBase >::const_base_reference
                                                                                              const base_type & const_base_reference
                                                                                              Read-only reference to an object of type base_type.
                                                                                              Definition: polymorphic_base.hpp:42
                                                                                              -
                                                                                              tensorwrapper::detail_::PolymorphicBase< AllocatorBase >::base_pointer
                                                                                              std::unique_ptr< base_type > base_pointer
                                                                                              Pointer to an object of type base_type.
                                                                                              Definition: polymorphic_base.hpp:45
                                                                                              +
                                                                                              tensorwrapper::detail_::PolymorphicBase< AllocatorBase >::base_pointer
                                                                                              std::unique_ptr< base_type > base_pointer
                                                                                              Pointer to an object of type base_type.
                                                                                              Definition: polymorphic_base.hpp:48
                                                                                              tensorwrapper::layout::LayoutBase
                                                                                              Common base class for all layouts.
                                                                                              Definition: layout_base.hpp:28
                                                                                              tensorwrapper::layout::LayoutBase::const_symmetry_reference
                                                                                              const symmetry_type & const_symmetry_reference
                                                                                              Read-only reference to the symmetry.
                                                                                              Definition: layout_base.hpp:55
                                                                                              tensorwrapper::layout::LayoutBase::sparsity_type
                                                                                              sparsity::Pattern sparsity_type
                                                                                              Object holding sparsity patterns.
                                                                                              Definition: layout_base.hpp:61
                                                                                              diff --git a/tensorwrapper_cxx_api/tensor__pimpl_8hpp_source.html b/tensorwrapper_cxx_api/tensor__pimpl_8hpp_source.html index c05b98d8..227edd8c 100644 --- a/tensorwrapper_cxx_api/tensor__pimpl_8hpp_source.html +++ b/tensorwrapper_cxx_api/tensor__pimpl_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/tensorwrapper_8hpp_source.html b/tensorwrapper_cxx_api/tensorwrapper_8hpp_source.html index 61e8b669..555a2ddf 100644 --- a/tensorwrapper_cxx_api/tensorwrapper_8hpp_source.html +++ b/tensorwrapper_cxx_api/tensorwrapper_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/unique__ptr__utilities_8hpp_source.html b/tensorwrapper_cxx_api/unique__ptr__utilities_8hpp_source.html index d728fb32..03d2a31b 100644 --- a/tensorwrapper_cxx_api/unique__ptr__utilities_8hpp_source.html +++ b/tensorwrapper_cxx_api/unique__ptr__utilities_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38
                                                                                              diff --git a/tensorwrapper_cxx_api/view__traits_8hpp_source.html b/tensorwrapper_cxx_api/view__traits_8hpp_source.html index ceff2422..83fc7186 100644 --- a/tensorwrapper_cxx_api/view__traits_8hpp_source.html +++ b/tensorwrapper_cxx_api/view__traits_8hpp_source.html @@ -22,7 +22,7 @@
                                                                                              tensorwrapper -  0.0.37 +  0.0.38