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‎lib/node_modules/@stdlib/ndarray/base/binary-reduce-strided1d/README.md‎

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@@ -138,7 +138,7 @@ Each provided ndarray should be an object with the following properties:
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where
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- **arrays**: array containing two one-dimensional subarrays from the input ndarrays and any additional ndarray arguments as zero-dimensional ndarrays.
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- **arrays**: array containing a one-dimensional subarray for each input ndarray and any additional ndarray arguments as zero-dimensional ndarrays.
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- **options**: function options (_optional_).
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- For very high-dimensional ndarrays which are non-contiguous, one should consider copying the underlying data to contiguous memory before performing a reduction in order to achieve better performance.

‎lib/node_modules/@stdlib/ndarray/base/binary-reduce-strided1d/docs/repl.txt‎

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@@ -30,8 +30,8 @@
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where
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- arrays: array containing two one-dimensional subarrays of the input
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ndarrays and any additional ndarray arguments as zero-dimensional
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- arrays: array containing a one-dimensional subarrays for each input
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ndarray and any additional ndarray arguments as zero-dimensional
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ndarrays.
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- options: function options.
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‎lib/node_modules/@stdlib/ndarray/base/binary-reduce-strided1d/lib/10d_blocked.js‎

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@@ -276,7 +276,7 @@ function blockedbinary10d( fcn, arrays, views, stridesX, stridesY, strategyX, st
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j8 -= bsize;
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}
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for ( k = 0; k < N; k++ ) {
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dv9 = sv[k][9] - ( s8*sv[k][8] );
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dv9[ k ] = sv[k][9] - ( s8*sv[k][8] );
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ov8[ k ] = ov9[k] + ( j8*sv[k][8] );
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}
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for ( j7 = sh[7]; j7 > 0; ) {
@@ -288,7 +288,7 @@ function blockedbinary10d( fcn, arrays, views, stridesX, stridesY, strategyX, st
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j7 -= bsize;
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}
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for ( k = 0; k < N; k++ ) {
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dv8 = sv[k][8] - ( s7*sv[k][7] );
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dv8[ k ] = sv[k][8] - ( s7*sv[k][7] );
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ov7[ k ] = ov8[k] + ( j7*sv[k][7] );
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}
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for ( j6 = sh[6]; j6 > 0; ) {
@@ -300,7 +300,7 @@ function blockedbinary10d( fcn, arrays, views, stridesX, stridesY, strategyX, st
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j6 -= bsize;
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}
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for ( k = 0; k < N; k++ ) {
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dv7 = sv[k][7] - ( s6*sv[k][6] );
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dv7[ k ] = sv[k][7] - ( s6*sv[k][6] );
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ov6[ k ] = ov7[k] + ( j6*sv[k][6] );
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}
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for ( j5 = sh[5]; j5 > 0; ) {
@@ -312,7 +312,7 @@ function blockedbinary10d( fcn, arrays, views, stridesX, stridesY, strategyX, st
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j5 -= bsize;
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}
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for ( k = 0; k < N; k++ ) {
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dv6 = sv[k][6] - ( s5*sv[k][5] );
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dv6[ k ] = sv[k][6] - ( s5*sv[k][5] );
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ov5[ k ] = ov6[k] + ( j5*sv[k][5] );
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}
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for ( j4 = sh[4]; j4 > 0; ) {
@@ -324,7 +324,7 @@ function blockedbinary10d( fcn, arrays, views, stridesX, stridesY, strategyX, st
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j4 -= bsize;
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}
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for ( k = 0; k < N; k++ ) {
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dv5 = sv[k][5] - ( s4*sv[k][4] );
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dv5[ k ] = sv[k][5] - ( s4*sv[k][4] );
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ov4[ k ] = ov5[k] + ( j4*sv[k][4] );
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}
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for ( j3 = sh[3]; j3 > 0; ) {

‎lib/node_modules/@stdlib/ndarray/base/binary-reduce-strided1d/lib/10d_blocked_accessors.js‎

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@@ -285,7 +285,7 @@ function blockedbinary10d( fcn, arrays, views, stridesX, stridesY, strategyX, st
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j8 -= bsize;
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}
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for ( k = 0; k < N; k++ ) {
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dv9 = sv[k][9] - ( s8*sv[k][8] );
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dv9[ k ] = sv[k][9] - ( s8*sv[k][8] );
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ov8[ k ] = ov9[k] + ( j8*sv[k][8] );
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}
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for ( j7 = sh[7]; j7 > 0; ) {
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j7 -= bsize;
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}
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for ( k = 0; k < N; k++ ) {
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dv8 = sv[k][8] - ( s7*sv[k][7] );
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dv8[ k ] = sv[k][8] - ( s7*sv[k][7] );
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ov7[ k ] = ov8[k] + ( j7*sv[k][7] );
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}
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for ( j6 = sh[6]; j6 > 0; ) {
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j6 -= bsize;
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}
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for ( k = 0; k < N; k++ ) {
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dv7 = sv[k][7] - ( s6*sv[k][6] );
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dv7[ k ] = sv[k][7] - ( s6*sv[k][6] );
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ov6[ k ] = ov7[k] + ( j6*sv[k][6] );
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}
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for ( j5 = sh[5]; j5 > 0; ) {
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}
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for ( k = 0; k < N; k++ ) {
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dv6 = sv[k][6] - ( s5*sv[k][5] );
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dv6[ k ] = sv[k][6] - ( s5*sv[k][5] );
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ov5[ k ] = ov6[k] + ( j5*sv[k][5] );
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}
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for ( j4 = sh[4]; j4 > 0; ) {
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j4 -= bsize;
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for ( k = 0; k < N; k++ ) {
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dv5 = sv[k][5] - ( s4*sv[k][4] );
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dv5[ k ] = sv[k][5] - ( s4*sv[k][4] );
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ov4[ k ] = ov5[k] + ( j4*sv[k][4] );
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}
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for ( j3 = sh[3]; j3 > 0; ) {

‎lib/node_modules/@stdlib/ndarray/base/binary-reduce-strided1d/lib/2d.js‎

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@@ -166,10 +166,10 @@ function binary2d( fcn, arrays, views, stridesX, stridesY, isRowMajor, strategyX
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stridesX[1],
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168168
];
169-
dv1 = [
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dv1 = [ // offset increment for outermost loop
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stridesX[0] - ( S0*stridesX[1] ),
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stridesY[0] - ( S0*stridesY[1] )
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]; // offset increment for outermost loop
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];
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for ( i = 2; i < arrays.length; i++ ) {
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dv0.push( sv[1] );
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185185
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186-
dv1 = [
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dv1 = [ // offset increment for outermost loop
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stridesX[1] - ( S0*stridesX[0] ),
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stridesY[1] - ( S0*stridesY[0] )
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]; // offset increment for outermost loop
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];
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for ( i = 2; i < arrays.length; i++ ) {
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‎lib/node_modules/@stdlib/ndarray/base/binary-reduce-strided1d/lib/2d_accessors.js‎

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@@ -172,10 +172,10 @@ function binary2d( fcn, arrays, views, stridesX, stridesY, isRowMajor, strategyX
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dv1 = [
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dv1 = [ // offset increment for outermost loop
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stridesX[0] - ( S0*stridesX[1] ),
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stridesY[0] - ( S0*stridesY[1] )
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dv1 = [
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dv1 = [ // offset increment for outermost loop
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];
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‎lib/node_modules/@stdlib/ndarray/base/binary-reduce-strided1d/lib/3d.js‎

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@@ -174,10 +174,10 @@ function binary3d( fcn, arrays, views, stridesX, stridesY, isRowMajor, strategyX
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dv2 = [
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dv2 = [ // offset increment for outermost loop
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200+
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205205
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‎lib/node_modules/@stdlib/ndarray/base/binary-reduce-strided1d/lib/3d_accessors.js‎

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@@ -180,10 +180,10 @@ function binary3d( fcn, arrays, views, stridesX, stridesY, isRowMajor, strategyX
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188188
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189189
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205205
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206-
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206+
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207207
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208208
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209-
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‎lib/node_modules/@stdlib/ndarray/base/binary-reduce-strided1d/lib/4d.js‎

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@@ -182,10 +182,10 @@ function binary4d( fcn, arrays, views, stridesX, stridesY, isRowMajor, strategyX
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190190
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191191
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211211
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213213
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214-
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214+
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215215
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216216
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217-
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217+
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218218
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219219
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‎lib/node_modules/@stdlib/ndarray/base/binary-reduce-strided1d/lib/4d_accessors.js‎

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@@ -188,10 +188,10 @@ function binary4d( fcn, arrays, views, stridesX, stridesY, isRowMajor, strategyX
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189189
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191+
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192192
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195195
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196196
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197197
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217217
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218218
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219219
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220-
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220+
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222222
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223+
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224224
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225225
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