Auto-generated commit

.gitattributes

@@ -44,6 +44,7 @@
 
 # Configure directories which should *not* be included in GitHub language statistics:
 /deps/** linguist-vendored
+/dist/** linguist-generated
 /workshops/** linguist-vendored
 
 benchmark/** linguist-vendored
@@ -57,6 +58,8 @@ tools/** linguist-vendored
 # Configure files which should *not* be included in GitHub language statistics:
 Makefile linguist-vendored
 *.mk linguist-vendored
+*.jl linguist-vendored
+*.py linguist-vendored
 
 # Configure files which should be included in GitHub language statistics:
 docs/types/*.d.ts -linguist-documentation

CONTRIBUTORS

@@ -19,6 +19,7 @@ Chinmay Joshi <[email protected]>
 Christopher Dambamuromo <[email protected]>
 Dan Rose <[email protected]>
 Daniel Killenberger <[email protected]>
+Daniel Yu <[email protected]>
 Dominik Moritz <[email protected]>
 Dorrin Sotoudeh <[email protected]>
 EuniceSim142 <[email protected]>

data/data.csv

@@ -1672,10 +1672,10 @@ base.strided.dnanmskrange,"var x = new Float64Array( [ 1.0, -2.0, 4.0, 2.0, NaN
 base.strided.dnanmskrange.ndarray,"var x = new Float64Array( [ 1.0, -2.0, 2.0, 4.0, NaN ] );\nvar mask = new Uint8Array( [ 0, 0, 0, 1, 0 ] );\nbase.strided.dnanmskrange.ndarray( x.length, x, 1, 0, mask, 1, 0 )\nx = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, 4.0 ] );\nmask = new Uint8Array( [ 0, 0, 0, 0, 0, 0, 1 ] );\nvar N = base.floor( x.length / 2 );\nbase.strided.dnanmskrange.ndarray( N, x, 2, 1, mask, 2, 1 )\n"
 base.strided.dnannsum,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nvar out = new Float64Array( 2 );\nbase.strided.dnannsum( x.length, x, 1, out, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );\nout = new Float64Array( 2 );\nbase.strided.dnannsum( 4, x, 2, out, 1 )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, 1.0, NaN, NaN ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nout = new Float64Array( 2 );\nbase.strided.dnannsum( 4, x1, 2, out, 1 )\n"
 base.strided.dnannsum.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nvar out = new Float64Array( 2 );\nbase.strided.dnannsum.ndarray( x.length, x, 1, 0, out, 1, 0 )\nx = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, 1.0, NaN, NaN ] );\nout = new Float64Array( 2 );\nbase.strided.dnannsum.ndarray( 4, x, 2, 1, out, 1, 0 )\n"
-base.strided.dnannsumkbn,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nvar out = new Float64Array( 2 );\nbase.strided.dnannsumkbn( x.length, x, 1, out, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );\nout = new Float64Array( 2 );\nvar N = base.floor( x.length / 2 );\nbase.strided.dnannsumkbn( N, x, 2, out, 1 )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, 1.0, NaN, NaN ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nN = base.floor( x0.length / 2 );\nout = new Float64Array( 2 );\nbase.strided.dnannsumkbn( N, x1, 2, out, 1 )\n"
-base.strided.dnannsumkbn.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nvar out = new Float64Array( 2 );\nbase.strided.dnannsumkbn.ndarray( x.length, x, 1, 0, out, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, 1.0, NaN, NaN ] );\nvar N = base.floor( x.length / 2 );\nout = new Float64Array( 2 );\nbase.strided.dnannsumkbn.ndarray( N, x, 2, 1, out, 1, 0 )\n"
-base.strided.dnannsumkbn2,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nvar out = new Float64Array( 2 );\nbase.strided.dnannsumkbn2( x.length, x, 1, out, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );\nout = new Float64Array( 2 );\nvar N = base.floor( x.length / 2 );\nbase.strided.dnannsumkbn2( N, x, 2, out, 1 )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, 1.0, NaN, NaN ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nN = base.floor( x0.length / 2 );\nout = new Float64Array( 2 );\nbase.strided.dnannsumkbn2( N, x1, 2, out, 1 )\n"
-base.strided.dnannsumkbn2.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nvar out = new Float64Array( 2 );\nbase.strided.dnannsumkbn2.ndarray( x.length, x, 1, 0, out, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, 1.0, NaN, NaN ] );\nvar N = base.floor( x.length / 2 );\nout = new Float64Array( 2 );\nbase.strided.dnannsumkbn2.ndarray( N, x, 2, 1, out, 1, 0 )\n"
+base.strided.dnannsumkbn,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nvar out = new Float64Array( 2 );\nbase.strided.dnannsumkbn( x.length, x, 1, out, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );\nout = new Float64Array( 2 );\nbase.strided.dnannsumkbn( 4, x, 2, out, 1 )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, 1.0, NaN, NaN ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nout = new Float64Array( 2 );\nbase.strided.dnannsumkbn( 4, x1, 2, out, 1 )\n"
+base.strided.dnannsumkbn.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nvar out = new Float64Array( 2 );\nbase.strided.dnannsumkbn.ndarray( x.length, x, 1, 0, out, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, 1.0, NaN, NaN ] );\nout = new Float64Array( 2 );\nbase.strided.dnannsumkbn.ndarray( 4, x, 2, 1, out, 1, 0 )\n"
+base.strided.dnannsumkbn2,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nvar out = new Float64Array( 2 );\nbase.strided.dnannsumkbn2( x.length, x, 1, out, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );\nout = new Float64Array( 2 );\nbase.strided.dnannsumkbn2( 4, x, 2, out, 1 )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, 1.0, NaN, NaN ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nout = new Float64Array( 2 );\nbase.strided.dnannsumkbn2( 4, x1, 2, out, 1 )\n"
+base.strided.dnannsumkbn2.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nvar out = new Float64Array( 2 );\nbase.strided.dnannsumkbn2.ndarray( x.length, x, 1, 0, out, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, 1.0, NaN, NaN ] );\nout = new Float64Array( 2 );\nbase.strided.dnannsumkbn2.ndarray( 4, x, 2, 1, out, 1, 0 )\n"
 base.strided.dnannsumors,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nvar out = new Float64Array( 2 );\nbase.strided.dnannsumors( x.length, x, 1, out, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );\nout = new Float64Array( 2 );\nvar N = base.floor( x.length / 2 );\nbase.strided.dnannsumors( N, x, 2, out, 1 )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, 1.0, NaN, NaN ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nN = base.floor( x0.length / 2 );\nout = new Float64Array( 2 );\nbase.strided.dnannsumors( N, x1, 2, out, 1 )\n"
 base.strided.dnannsumors.ndarray,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nvar out = new Float64Array( 2 );\nbase.strided.dnannsumors.ndarray( x.length, x, 1, 0, out, 1, 0 )\nvar x = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, 1.0, NaN, NaN ] );\nvar N = base.floor( x.length / 2 );\nout = new Float64Array( 2 );\nbase.strided.dnannsumors.ndarray( N, x, 2, 1, out, 1, 0 )\n"
 base.strided.dnannsumpw,"var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );\nvar out = new Float64Array( 2 );\nbase.strided.dnannsumpw( x.length, x, 1, out, 1 )\nx = new Float64Array( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN, NaN ] );\nout = new Float64Array( 2 );\nbase.strided.dnannsumpw( 4, x, 2, out, 1 )\nvar x0 = new Float64Array( [ 1.0, -2.0, 3.0, 2.0, 5.0, 1.0, NaN, NaN ] );\nvar x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 );\nout = new Float64Array( 2 );\nbase.strided.dnannsumpw( 4, x1, 2, out, 1 )\n"