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# Updated to version 24.0.02 | ||
# Author: J. Sassmannshausen (Imperial College London/UK) | ||
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easyblock = 'CMakeMake' | ||
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name = 'AFNI' | ||
version = '24.0.02' | ||
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homepage = 'http://afni.nimh.nih.gov/' | ||
description = """AFNI is a set of C programs for processing, analyzing, and displaying functional MRI (FMRI) data - | ||
a technique for mapping human brain activity.""" | ||
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toolchain = {'name': 'foss', 'version': '2023a'} | ||
toolchainopts = {'openmp': True, 'pic': True} | ||
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source_urls = ['https://github.com/afni/afni/archive/'] | ||
sources = ['AFNI_%(version)s.tar.gz'] | ||
checksums = ['2915ed5bf98712abe3373bfc285f946fdee6cf1367e23ba80575dd6eedb3529a'] | ||
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builddependencies = [ | ||
('CMake', '3.26.3'), | ||
] | ||
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dependencies = [ | ||
('tcsh', '6.24.10'), | ||
('Python', '3.11.3'), | ||
('X11', '20230603'), | ||
('motif', '2.3.8'), | ||
('R', '4.3.2'), | ||
('PyQt5', '5.15.10'), | ||
('expat', '2.5.0'), | ||
('libpng', '1.6.39'), | ||
('libjpeg-turbo', '2.1.5.1'), | ||
('GSL', '2.7'), | ||
('GLib', '2.77.1'), | ||
('zlib', '1.2.13'), | ||
('freeglut', '3.4.0'), | ||
('Pillow', '10.0.0'), | ||
('matplotlib', '3.7.2'), | ||
('SciPy-bundle', '2023.07'), | ||
('Xvfb', '21.1.8'), | ||
('FFmpeg', '6.0'), # required for running the program | ||
] | ||
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# Make sure stuff does not get installed in .local | ||
configopts = '-DSTANDARD_PYTHON_INSTALL=OFF ' | ||
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# Changing permissions of some files | ||
postinstallcmds = ['chmod a+x %(installdir)s/bin/afni_system_check.py ;'] | ||
postinstallcmds += ['chmod a+x %(installdir)s/bin/uber_subject.py ; '] | ||
postinstallcmds += ['chmod a+x %(installdir)s/bin/init_user_dotfiles.py ; '] | ||
# Copying apparently missing files over | ||
postinstallcmds += ['cp -f %(start_dir)s/src/discoraj/ClusterExplorer/ClustExp_HistTable.py %(installdir)s/bin ; '] | ||
postinstallcmds += ['cp -f %(start_dir)s/src/discoraj/ClusterExplorer/ClustExp_StatParse.py %(installdir)s/bin ; '] | ||
postinstallcmds += ['cp -rf %(start_dir)s/src/scripts_for_r %(installdir)s/bin ; '] | ||
postinstallcmds += ['cp -rf %(start_dir)s/src/R_scripts %(installdir)s/bin/scripts_for_r ; '] | ||
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sanity_check_commands = ["afni -help"] | ||
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sanity_check_paths = { | ||
'files': ['bin/afni', 'lib/libgts.%s' % SHLIB_EXT, 'lib/libnifti2.%s' % SHLIB_EXT], | ||
'dirs': ['include', 'share'], | ||
} | ||
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modextrapaths = {'PATH': ['bin/scripts_for_r']} | ||
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moduleclass = 'bio' |
55 changes: 55 additions & 0 deletions
55
easybuild/easyconfigs/a/AreTomo2/AreTomo2-1.0.0-GCCcore-12.3.0-CUDA-12.1.1.eb
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# Thomas Hoffmann, EMBL Heidelberg, [email protected], 2024/1 | ||
easyblock = 'MakeCp' | ||
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name = 'AreTomo2' | ||
version = '1.0.0' | ||
versionsuffix = '-CUDA-%(cudaver)s' | ||
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homepage = 'https://github.com/czimaginginstitute/AreTomo2' | ||
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description = """AreTomo2, a multi-GPU accelerated software package that fully automates motion- | ||
corrected marker-free tomographic alignment and reconstruction, now includes | ||
robust GPU-accelerated CTF (Contrast Transfer Function) estimation in a single | ||
package. AreTomo2 is part of our endeavor to build a fully-automated high- | ||
throughput processing pipeline that enables real-time reconstruction of | ||
tomograms in parallel with tomographic data collection. It strives to be fast | ||
and accurate, as well as provides for easy integration into subtomogram | ||
processing workflows by generating IMod compatible files containing alignment | ||
and CTF parameters needed to bootstrap subtomogram averaging. AreTomo2 can also | ||
be used for on-the-fly reconstruction of tomograms and CTF estimation in | ||
parallel with tilt series collection, enabling real-time assessment of sample | ||
quality and adjustment of collection parameters""" | ||
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toolchain = {'name': 'GCCcore', 'version': '12.3.0'} | ||
toolchainopts = {'cstd': 'c++11'} | ||
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source_urls = [GITHUB_SOURCE] | ||
sources = ['v%(version)s.tar.gz'] | ||
patches = ['%(name)s-%(version)s_makefile.patch'] | ||
checksums = [ | ||
{'v1.0.0.tar.gz': '5518cd5d7bc13a6dbb6d9310b22c301e73a0c91dc059da403445d79ca0ff8892'}, | ||
{'AreTomo2-1.0.0_makefile.patch': '8595b2fc55e0b5e1bf7c077c93c09503b4e8f95123c6aaf0a5fbe44dda871c73'}, | ||
] | ||
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github_account = 'czimaginginstitute' | ||
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build_cmd = 'make exe -f makefile11 CUDAHOME=$CUDA_HOME CUDACC="%(cuda_cc_cmake)s"' | ||
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builddependencies = [ | ||
('binutils', '2.40') | ||
] | ||
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dependencies = [ | ||
('CUDA', '12.1.1', '', SYSTEM), | ||
] | ||
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files_to_copy = [(['%(name)s'], 'bin')] | ||
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sanity_check_paths = { | ||
'files': ['bin/%(name)s'], | ||
'dirs': ['bin'], | ||
} | ||
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sanity_check_commands = ['%(name)s -h'] | ||
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moduleclass = 'bio' |
46 changes: 46 additions & 0 deletions
46
easybuild/easyconfigs/a/AreTomo2/AreTomo2-1.0.0_makefile.patch
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# Thomas Hoffmann, EBML Heidelberg, [email protected], 2023/10 | ||
# allow to inject cuda compute capabilities and cfalgs | ||
diff -ru AreTomo2-1.0.0/makefile11 AreTomo2-1.0.0_makefile/makefile11 | ||
--- AreTomo2-1.0.0/makefile11 2023-10-26 19:49:07.000000000 +0200 | ||
+++ AreTomo2-1.0.0_makefile/makefile11 2023-10-30 19:00:07.212270395 +0100 | ||
@@ -156,18 +156,21 @@ | ||
$(CUCPPS) | ||
OBJS = $(patsubst %.cpp, %.o, $(SRCS)) | ||
#------------------------------------- | ||
-CC = g++ -std=c++11 | ||
-CFLAG = -c -g -pthread -m64 | ||
+#CC = g++ -std=c++11 | ||
+CFLAG = -c -g -pthread -m64 $(CFLAGS) | ||
NVCC = $(CUDAHOME)/bin/nvcc -std=c++11 | ||
-CUFLAG = -Xptxas -dlcm=ca -O2 \ | ||
- -gencode arch=compute_80,code=sm_80 \ | ||
- -gencode arch=compute_75,code=sm_75 \ | ||
- -gencode arch=compute_70,code=sm_70 \ | ||
- -gencode arch=compute_61,code=sm_61 \ | ||
- -gencode arch=compute_60,code=sm_60 \ | ||
- -gencode arch=compute_53,code=sm_53 \ | ||
- -gencode arch=compute_52,code=sm_52 \ | ||
- -gencode arch=compute_86,code=sm_86 | ||
+SPACE= ' ' | ||
+SEMI= ; | ||
+GENCODES = $(foreach x,$(subst $(SEMI),$(SPACE),$(CUDACC)),-gencode arch=compute_$x,code=sm_$x) | ||
+CUFLAG = -Xptxas -dlcm=ca -O2 $(GENCODES) | ||
+# -gencode arch=compute_80,code=sm_80 \ | ||
+# -gencode arch=compute_75,code=sm_75 \ | ||
+# -gencode arch=compute_70,code=sm_70 \ | ||
+# -gencode arch=compute_61,code=sm_61 \ | ||
+# -gencode arch=compute_60,code=sm_60 \ | ||
+# -gencode arch=compute_53,code=sm_53 \ | ||
+# -gencode arch=compute_52,code=sm_52 \ | ||
+# -gencode arch=compute_86,code=sm_86 | ||
#------------------------------------------ | ||
cuda: $(CUCPPS) | ||
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@@ -183,6 +186,7 @@ | ||
-lcufft -lcudart -lcuda -lc -lm -lpthread \ | ||
-o AreTomo2 | ||
@echo AreTomo2 has been generated. | ||
+ @echo used cuda gencodes: $(GENCODES) | ||
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%.o: %.cu | ||
@$(NVCC) -c $(CUFLAG) -I$(PRJINC) -I$(CUPRJINC) $< -o $@ |
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easyblock = 'PackedBinary' | ||
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name = 'ant' | ||
version = '1.10.14' | ||
versionsuffix = '-Java-%(javaver)s' | ||
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homepage = 'https://ant.apache.org/' | ||
description = """Apache Ant is a Java library and command-line tool whose mission is to drive processes described in | ||
build files as targets and extension points dependent upon each other. The main known usage of Ant is the build of | ||
Java applications.""" | ||
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toolchain = SYSTEM | ||
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source_urls = ['https://archive.apache.org/dist/ant/binaries/'] | ||
sources = ['apache-%(name)s-%(version)s-bin.tar.gz'] | ||
checksums = ['e2852fddaaddc1ab76a099ca0d7b2ee47a907b8a91a64f70f6aa9e6a3d0dd504'] | ||
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dependencies = [('Java', '21')] | ||
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sanity_check_paths = { | ||
'files': ['bin/ant', 'lib/ant.jar'], | ||
'dirs': [], | ||
} | ||
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modextravars = {'ANT_HOME': '%(installdir)s'} | ||
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moduleclass = 'devel' |
30 changes: 30 additions & 0 deletions
30
easybuild/easyconfigs/a/argtable/argtable-2.13-GCCcore-11.2.0.eb
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# This file is an EasyBuild reciPY as per https://github.com/easybuilders/easybuild | ||
# Author: Pablo Escobar Lopez | ||
# Swiss Institute of Bioinformatics | ||
# Biozentrum - University of Basel | ||
# Modified by: Adam Huffman | ||
# The Francis Crick Institute | ||
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easyblock = 'ConfigureMake' | ||
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name = 'argtable' | ||
version = '2.13' | ||
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homepage = 'https://argtable.sourceforge.io/' | ||
description = """ Argtable is an ANSI C library for parsing GNU style | ||
command line options with a minimum of fuss. """ | ||
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toolchain = {'name': 'GCCcore', 'version': '11.2.0'} | ||
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source_urls = [SOURCEFORGE_SOURCE] | ||
sources = ['%s%s.tar.gz' % (name, version.replace('.', '-'))] | ||
checksums = ['8f77e8a7ced5301af6e22f47302fdbc3b1ff41f2b83c43c77ae5ca041771ddbf'] | ||
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builddependencies = [('binutils', '2.37')] | ||
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sanity_check_paths = { | ||
'files': ['include/argtable2.h', 'lib/libargtable2.%s' % SHLIB_EXT, 'lib/libargtable2.a'], | ||
'dirs': ['share'], | ||
} | ||
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moduleclass = 'lib' |
36 changes: 36 additions & 0 deletions
36
easybuild/easyconfigs/a/assimp/assimp-5.3.1-GCCcore-13.2.0.eb
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@@ -0,0 +1,36 @@ | ||
# Authors:: Richard Lawrence <[email protected]> - TAMU HPRC - https://hprc.tamu.edu | ||
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easyblock = 'CMakeMake' | ||
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name = 'assimp' | ||
version = '5.3.1' | ||
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homepage = 'https://github.com/assimp/assimp' | ||
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description = """ | ||
Open Asset Import Library (assimp) is a library to import and export various | ||
3d-model-formats including scene-post-processing to generate missing render data. | ||
""" | ||
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toolchain = {'name': 'GCCcore', 'version': '13.2.0'} | ||
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source_urls = ['https://github.com/%(name)s/%(name)s/archive'] | ||
sources = ['v%(version)s.tar.gz'] | ||
checksums = ['a07666be71afe1ad4bc008c2336b7c688aca391271188eb9108d0c6db1be53f1'] | ||
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builddependencies = [ | ||
('binutils', '2.40'), | ||
('pkgconf', '2.0.3'), | ||
('CMake', '3.27.6'), | ||
('zlib', '1.2.13'), | ||
] | ||
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# workaround bug with GCC13 https://github.com/assimp/assimp/issues/5315 | ||
configopts = '-DASSIMP_WARNINGS_AS_ERRORS=OFF ' | ||
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sanity_check_paths = { | ||
'files': ['include/assimp/types.h', 'lib/libassimp.%s' % SHLIB_EXT], | ||
'dirs': [], | ||
} | ||
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moduleclass = 'vis' |
44 changes: 44 additions & 0 deletions
44
easybuild/easyconfigs/b/biom-format/biom-format-2.1.15-foss-2023a.eb
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## | ||
# This is a contribution from DeepThought HPC Service, Flinders University, Adelaide, Australia | ||
# Homepage: https://staff.flinders.edu.au/research/deep-thought | ||
# | ||
# Authors:: Robert Qiao <[email protected]> | ||
# License:: Revised BSD | ||
# | ||
# Notes:: updated by Kenneth Hoste (HPC-UGent) for foss/2021b | ||
## | ||
# Updated: Petr Král (INUITS) | ||
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easyblock = 'PythonPackage' | ||
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name = 'biom-format' | ||
version = '2.1.15' | ||
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homepage = 'https://biom-format.org' | ||
description = """ | ||
The BIOM file format (canonically pronounced biome) is designed to be | ||
a general-use format for representing biological sample by observation | ||
contingency tables. BIOM is a recognized standard for the Earth Microbiome | ||
Project and is a Genomics Standards Consortium supported project. | ||
""" | ||
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toolchain = {'name': 'foss', 'version': '2023a'} | ||
toolchainopts = {'usempi': True} | ||
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sources = [SOURCE_TAR_GZ] | ||
checksums = ['3bda2096e663dc1cb6f90f51b394da0838b9be5164a44370c134ce5b3b2a4dd3'] | ||
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dependencies = [ | ||
('Python', '3.11.3'), | ||
('SciPy-bundle', '2023.07'), | ||
('h5py', '3.9.0'), | ||
] | ||
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sanity_check_paths = { | ||
'files': ['bin/biom'], | ||
'dirs': ['lib'], | ||
} | ||
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options = {'modulename': 'biom'} | ||
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moduleclass = 'bio' |
35 changes: 35 additions & 0 deletions
35
easybuild/easyconfigs/c/Clustal-Omega/Clustal-Omega-1.2.4-GCC-11.2.0.eb
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@@ -0,0 +1,35 @@ | ||
# This file is an EasyBuild reciPY as per https://github.com/easybuilders/easybuild | ||
# Author: Pablo Escobar Lopez | ||
# Swiss Institute of Bioinformatics | ||
# Biozentrum - University of Basel | ||
# Modified by Adam Huffman | ||
# Francis Crick Institute | ||
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easyblock = 'ConfigureMake' | ||
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name = 'Clustal-Omega' | ||
version = '1.2.4' | ||
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homepage = 'http://www.clustal.org/omega/' | ||
description = """ Clustal Omega is a multiple sequence alignment | ||
program for proteins. It produces biologically meaningful multiple | ||
sequence alignments of divergent sequences. Evolutionary relationships | ||
can be seen via viewing Cladograms or Phylograms """ | ||
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toolchain = {'name': 'GCC', 'version': '11.2.0'} | ||
toolchainopts = {'openmp': True} | ||
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source_urls = [homepage] | ||
sources = [SOURCELOWER_TAR_GZ] | ||
checksums = ['8683d2286d663a46412c12a0c789e755e7fd77088fb3bc0342bb71667f05a3ee'] | ||
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dependencies = [('argtable', '2.13')] | ||
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sanity_check_paths = { | ||
'files': ['bin/clustalo'], | ||
'dirs': [], | ||
} | ||
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sanity_check_commands = ["clustalo --help"] | ||
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moduleclass = 'bio' |
35 changes: 35 additions & 0 deletions
35
easybuild/easyconfigs/c/contextily/contextily-1.5.0-foss-2023a.eb
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@@ -0,0 +1,35 @@ | ||
easyblock = 'PythonBundle' | ||
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name = 'contextily' | ||
version = '1.5.0' | ||
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homepage = 'https://contextily.readthedocs.io/' | ||
description = """contextily is a small Python 3 package to retrieve tile maps from the internet. | ||
It can add those tiles as basemap to matplotlib figures or write tile maps to | ||
disk into geospatial raster files. Bounding boxes can be passed in both WGS84 | ||
(EPSG:4326) and Spheric Mercator (EPSG:3857).""" | ||
|
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toolchain = {'name': 'foss', 'version': '2023a'} | ||
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dependencies = [ | ||
('Python', '3.11.3'), | ||
('Python-bundle-PyPI', '2023.06'), | ||
('geopy', '2.4.1'), | ||
('matplotlib', '3.7.2'), | ||
('Pillow', '10.0.0'), | ||
('rasterio', '1.3.9'), | ||
] | ||
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exts_list = [ | ||
('xyzservices', '2023.7.0', { | ||
'checksums': ['0ec928742227d6f5d4367ea7b457fcfed943429f4de2949b5b02a82cdf5569d6'], | ||
}), | ||
('mercantile', '1.2.1', { | ||
'checksums': ['fa3c6db15daffd58454ac198b31887519a19caccee3f9d63d17ae7ff61b3b56b'], | ||
}), | ||
(name, version, { | ||
'checksums': ['295b2d8097f8f6e80e1cb5e6e77538d1cdf729f827ec54eedc57f613c0a3ce0e'], | ||
}), | ||
] | ||
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moduleclass = 'geo' |
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