diff --git a/lib/node_modules/@stdlib/stats/base/dmeanpn/README.md b/lib/node_modules/@stdlib/stats/base/dmeanpn/README.md index 73eda8656b1c..50a3c9750b77 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanpn/README.md +++ b/lib/node_modules/@stdlib/stats/base/dmeanpn/README.md @@ -51,7 +51,7 @@ The [arithmetic mean][arithmetic-mean] is defined as var dmeanpn = require( '@stdlib/stats/base/dmeanpn' ); ``` -#### dmeanpn( N, x, stride ) +#### dmeanpn( N, x, strideX ) Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array `x` using a two-pass error correction algorithm. @@ -69,18 +69,16 @@ The function has the following parameters: - **N**: number of indexed elements. - **x**: input [`Float64Array`][@stdlib/array/float64]. -- **stride**: index increment for `x`. +- **strideX**: stride increment for `x`. -The `N` and `stride` parameters determine which elements in `x` are accessed at runtime. For example, to compute the [arithmetic mean][arithmetic-mean] of every other element in `x`, +The `N` and `strideX` parameters determine which elements in `x` are accessed at runtime. For example, to compute the [arithmetic mean][arithmetic-mean] of every other element in `x`, ```javascript var Float64Array = require( '@stdlib/array/float64' ); -var floor = require( '@stdlib/math/base/special/floor' ); var x = new Float64Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ] ); -var N = floor( x.length / 2 ); -var v = dmeanpn( N, x, 2 ); +var v = dmeanpn( 4, x, 2 ); // returns 1.25 ``` @@ -90,18 +88,15 @@ Note that indexing is relative to the first index. To introduce an offset, use [ ```javascript var Float64Array = require( '@stdlib/array/float64' ); -var floor = require( '@stdlib/math/base/special/floor' ); var x0 = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] ); var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element -var N = floor( x0.length / 2 ); - -var v = dmeanpn( N, x1, 2 ); +var v = dmeanpn( 4, x1, 2 ); // returns 1.25 ``` -#### dmeanpn.ndarray( N, x, stride, offset ) +#### dmeanpn.ndarray( N, x, strideX, offsetX ) Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array using a two-pass error correction algorithm and alternative indexing semantics. @@ -117,18 +112,16 @@ var v = dmeanpn.ndarray( N, x, 1, 0 ); The function has the following additional parameters: -- **offset**: starting index for `x`. +- **offsetX**: starting index for `x`. While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offset` parameter supports indexing semantics based on a starting index. For example, to calculate the [arithmetic mean][arithmetic-mean] for every other value in `x` starting from the second value ```javascript var Float64Array = require( '@stdlib/array/float64' ); -var floor = require( '@stdlib/math/base/special/floor' ); var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] ); -var N = floor( x.length / 2 ); -var v = dmeanpn.ndarray( N, x, 2, 1 ); +var v = dmeanpn.ndarray( 4, x, 2, 1 ); // returns 1.25 ``` @@ -175,6 +168,107 @@ console.log( v ); + + +
+ +### Usage + +```c +#include "stdlib/stats/base/dmeanpn.h" +``` + +#### stdlib_strided_dmeanpn( N, \*X, strideX ) + +Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array using aa two-pass error correction algorithm. + +```c +const double x[] = { 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 }; + +double v = stdlib_strided_dmeanpn( x.length, x, 2 ); +// returns 1.25 +``` + +The function accepts the following arguments: + +- **N**: `[in] CBLAS_INT` number of indexed elements. +- **X**: `[in] double*` input array. +- **strideX**: `[in] CBLAS_INT` stride length for `X`. + +```c +double stdlib_strided_dmeanpn( const CBLAS_INT N, const double *X, const CBLAS_INT strideX ); +``` + +#### stdlib_strided_dmeanpn_ndarray( N, \*X, strideX, offsetX ) + +Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array using a two-pass error correction algorithm and alternative indexing semantics. + +```c +const double x[] = { 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 }; + +double v = stdlib_strided_dmeanpn_ndarray( 4, x, 2, 1 ); +// returns 1.25 +``` + +The function accepts the following arguments: + +- **N**: `[in] CBLAS_INT` number of indexed elements. +- **X**: `[in] double*` input array. +- **strideX**: `[in] CBLAS_INT` stride length for `X`. +- **offsetX**: `[in] CBLAS_INT` starting index for `X`. + +```c +double stdlib_strided_dmeanpn_ndarray( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ); +``` + +
+ + + + + +
+ +
+ + + + + +
+ +### Examples + +```c +#include "stdlib/stats/base/dmeanpn.h" +#include + +int main( void ) { + // Create a strided array: + const double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 }; + + // Specify the number of elements: + const int N = 4; + + // Specify the stride length: + const int strideX = 2; + + // Compute the arithmetic mean: + double v = stdlib_strided_dmeanpn( N, x, strideX ); + + // Print the result: + printf( "mean: %lf\n", v ); +} +``` + +
+ + + + + + + * * *
diff --git a/lib/node_modules/@stdlib/stats/base/dmeanpn/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dmeanpn/benchmark/benchmark.js index bca6bea15225..f76ff6c4c2fd 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanpn/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dmeanpn/benchmark/benchmark.js @@ -21,14 +21,20 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var uniform = require( '@stdlib/random/array/uniform' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var pow = require( '@stdlib/math/base/special/pow' ); -var Float64Array = require( '@stdlib/array/float64' ); var pkg = require( './../package.json' ).name; var dmeanpn = require( './../lib/dmeanpn.js' ); +// VARIABLES // + +var options = { + 'dtype': 'float64' +}; + + // FUNCTIONS // /** @@ -39,13 +45,7 @@ var dmeanpn = require( './../lib/dmeanpn.js' ); * @returns {Function} benchmark function */ function createBenchmark( len ) { - var x; - var i; - - x = new Float64Array( len ); - for ( i = 0; i < x.length; i++ ) { - x[ i ] = ( randu()*20.0 ) - 10.0; - } + var x = uniform( len, -10.0, 10.0, options ); return benchmark; function benchmark( b ) { diff --git a/lib/node_modules/@stdlib/stats/base/dmeanpn/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dmeanpn/benchmark/benchmark.native.js index 113013de3f6d..4194ec4c57c2 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanpn/benchmark/benchmark.native.js +++ b/lib/node_modules/@stdlib/stats/base/dmeanpn/benchmark/benchmark.native.js @@ -22,10 +22,9 @@ var resolve = require( 'path' ).resolve; var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var uniform = require( '@stdlib/random/array/uniform' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var pow = require( '@stdlib/math/base/special/pow' ); -var Float64Array = require( '@stdlib/array/float64' ); var tryRequire = require( '@stdlib/utils/try-require' ); var pkg = require( './../package.json' ).name; @@ -36,6 +35,9 @@ var dmeanpn = tryRequire( resolve( __dirname, './../lib/dmeanpn.native.js' ) ); var opts = { 'skip': ( dmeanpn instanceof Error ) }; +var options = { + 'dtype': 'float64' +}; // FUNCTIONS // @@ -48,13 +50,7 @@ var opts = { * @returns {Function} benchmark function */ function createBenchmark( len ) { - var x; - var i; - - x = new Float64Array( len ); - for ( i = 0; i < x.length; i++ ) { - x[ i ] = ( randu()*20.0 ) - 10.0; - } + var x = uniform( len, -10.0, 10.0, options ); return benchmark; function benchmark( b ) { diff --git a/lib/node_modules/@stdlib/stats/base/dmeanpn/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/base/dmeanpn/benchmark/benchmark.ndarray.js index 4185a7e635b5..1a89e1837eaa 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanpn/benchmark/benchmark.ndarray.js +++ b/lib/node_modules/@stdlib/stats/base/dmeanpn/benchmark/benchmark.ndarray.js @@ -21,14 +21,20 @@ // MODULES // var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var uniform = require( '@stdlib/random/array/uniform' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var pow = require( '@stdlib/math/base/special/pow' ); -var Float64Array = require( '@stdlib/array/float64' ); var pkg = require( './../package.json' ).name; var dmeanpn = require( './../lib/ndarray.js' ); +// VARIABLES // + +var options = { + 'dtype': 'float64' +}; + + // FUNCTIONS // /** @@ -39,13 +45,7 @@ var dmeanpn = require( './../lib/ndarray.js' ); * @returns {Function} benchmark function */ function createBenchmark( len ) { - var x; - var i; - - x = new Float64Array( len ); - for ( i = 0; i < x.length; i++ ) { - x[ i ] = ( randu()*20.0 ) - 10.0; - } + var x = uniform( len, -10.0, 10.0, options ); return benchmark; function benchmark( b ) { diff --git a/lib/node_modules/@stdlib/stats/base/dmeanpn/benchmark/benchmark.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dmeanpn/benchmark/benchmark.ndarray.native.js index 07b60e5fdd1e..62e528596631 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanpn/benchmark/benchmark.ndarray.native.js +++ b/lib/node_modules/@stdlib/stats/base/dmeanpn/benchmark/benchmark.ndarray.native.js @@ -22,10 +22,9 @@ var resolve = require( 'path' ).resolve; var bench = require( '@stdlib/bench' ); -var randu = require( '@stdlib/random/base/randu' ); +var uniform = require( '@stdlib/random/array/uniform' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var pow = require( '@stdlib/math/base/special/pow' ); -var Float64Array = require( '@stdlib/array/float64' ); var tryRequire = require( '@stdlib/utils/try-require' ); var pkg = require( './../package.json' ).name; @@ -36,6 +35,9 @@ var dmeanpn = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) ); var opts = { 'skip': ( dmeanpn instanceof Error ) }; +var options = { + 'dtype': 'float64' +}; // FUNCTIONS // @@ -48,13 +50,7 @@ var opts = { * @returns {Function} benchmark function */ function createBenchmark( len ) { - var x; - var i; - - x = new Float64Array( len ); - for ( i = 0; i < x.length; i++ ) { - x[ i ] = ( randu()*20.0 ) - 10.0; - } + var x = uniform( len, -10.0, 10.0, options ); return benchmark; function benchmark( b ) { diff --git a/lib/node_modules/@stdlib/stats/base/dmeanpn/benchmark/c/benchmark.length.c b/lib/node_modules/@stdlib/stats/base/dmeanpn/benchmark/c/benchmark.length.c index e790a6b91838..8e3e7010631c 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanpn/benchmark/c/benchmark.length.c +++ b/lib/node_modules/@stdlib/stats/base/dmeanpn/benchmark/c/benchmark.length.c @@ -94,7 +94,7 @@ static double rand_double( void ) { * @param len array length * @return elapsed time in seconds */ -static double benchmark( int iterations, int len ) { +static double benchmark1( int iterations, int len ) { double elapsed; double x[ len ]; double v; @@ -107,6 +107,7 @@ static double benchmark( int iterations, int len ) { v = 0.0; t = tic(); for ( i = 0; i < iterations; i++ ) { + // cppcheck-suppress uninitvar v = stdlib_strided_dmeanpn( len, x, 1 ); if ( v != v ) { printf( "should not return NaN\n" ); @@ -120,6 +121,40 @@ static double benchmark( int iterations, int len ) { return elapsed; } +/** +* Runs a benchmark. +* +* @param iterations number of iterations +* @param len array length +* @return elapsed time in seconds +*/ +static double benchmark2( int iterations, int len ) { + double elapsed; + double x[ len ]; + double v; + double t; + int i; + + for ( i = 0; i < len; i++ ) { + x[ i ] = ( rand_double() * 20000.0 ) - 10000.0; + } + v = 0.0; + t = tic(); + for ( i = 0; i < iterations; i++ ) { + // cppcheck-suppress uninitvar + v = stdlib_strided_dmeanpn_ndarray( len, x, 1, 0 ); + if ( v != v ) { + printf( "should not return NaN\n" ); + break; + } + } + elapsed = tic() - t; + if ( v != v ) { + printf( "should not return NaN\n" ); + } + return elapsed; +} + /** * Main execution sequence. */ @@ -142,7 +177,18 @@ int main( void ) { for ( j = 0; j < REPEATS; j++ ) { count += 1; printf( "# c::%s:len=%d\n", NAME, len ); - elapsed = benchmark( iter, len ); + elapsed = benchmark1( iter, len ); + print_results( iter, elapsed ); + printf( "ok %d benchmark finished\n", count ); + } + } + for ( i = MIN; i <= MAX; i++ ) { + len = pow( 10, i ); + iter = ITERATIONS / pow( 10, i-1 ); + for ( j = 0; j < REPEATS; j++ ) { + count += 1; + printf( "# c::%s:ndarray:len=%d\n", NAME, len ); + elapsed = benchmark2( iter, len ); print_results( iter, elapsed ); printf( "ok %d benchmark finished\n", count ); } diff --git a/lib/node_modules/@stdlib/stats/base/dmeanpn/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dmeanpn/docs/repl.txt index 7eb8294fbb51..6c67963cc816 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanpn/docs/repl.txt +++ b/lib/node_modules/@stdlib/stats/base/dmeanpn/docs/repl.txt @@ -1,10 +1,10 @@ -{{alias}}( N, x, stride ) +{{alias}}( N, x, strideX ) Computes the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm. - The `N` and `stride` parameters determine which elements in `x` are accessed - at runtime. + The `N` and stride parameters determine which elements in the strided array + are accessed at runtime. Indexing is relative to the first index. To introduce an offset, use a typed array view. @@ -19,8 +19,8 @@ x: Float64Array Input array. - stride: integer - Index increment. + strideX: integer + Stride length. Returns ------- @@ -34,28 +34,25 @@ > {{alias}}( x.length, x, 1 ) ~0.3333 - // Using `N` and `stride` parameters: + // Using `N` and stride parameters: > x = new {{alias:@stdlib/array/float64}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] ); - > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 ); - > var stride = 2; - > {{alias}}( N, x, stride ) + > {{alias}}( 3, x, 2 ) ~0.3333 // Using view offsets: > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] ); > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); - > N = {{alias:@stdlib/math/base/special/floor}}( x0.length / 2 ); - > stride = 2; - > {{alias}}( N, x1, stride ) + > {{alias}}( 3, x1, 2 ) ~-0.3333 -{{alias}}.ndarray( N, x, stride, offset ) + +{{alias}}.ndarray( N, x, strideX, offsetX ) Computes the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm and alternative indexing semantics. While typed array views mandate a view offset based on the underlying - buffer, the `offset` parameter supports indexing semantics based on a + buffer, the offset parameter supports indexing semantics based on a starting index. Parameters @@ -66,10 +63,10 @@ x: Float64Array Input array. - stride: integer - Index increment. + strideX: integer + Stride length. - offset: integer + offsetX: integer Starting index. Returns @@ -86,8 +83,7 @@ // Using offset parameter: > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] ); - > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 ); - > {{alias}}.ndarray( N, x, 2, 1 ) + > {{alias}}.ndarray( 3, x, 2, 1 ) ~-0.3333 See Also diff --git a/lib/node_modules/@stdlib/stats/base/dmeanpn/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/dmeanpn/docs/types/index.d.ts index ebfb2cf51cb3..6522de85b0c4 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanpn/docs/types/index.d.ts +++ b/lib/node_modules/@stdlib/stats/base/dmeanpn/docs/types/index.d.ts @@ -27,7 +27,7 @@ interface Routine { * * @param N - number of indexed elements * @param x - input array - * @param stride - stride length + * @param strideX - stride length * @returns arithmetic mean * * @example @@ -38,15 +38,15 @@ interface Routine { * var v = dmeanpn( x.length, x, 1 ); * // returns ~0.3333 */ - ( N: number, x: Float64Array, stride: number ): number; + ( N: number, x: Float64Array, strideX: number ): number; /** * Computes the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm and alternative indexing semantics. * * @param N - number of indexed elements * @param x - input array - * @param stride - stride length - * @param offset - starting index + * @param strideX - stride length + * @param offsetX - starting index * @returns arithmetic mean * * @example @@ -57,7 +57,7 @@ interface Routine { * var v = dmeanpn.ndarray( x.length, x, 1, 0 ); * // returns ~0.3333 */ - ndarray( N: number, x: Float64Array, stride: number, offset: number ): number; + ndarray( N: number, x: Float64Array, strideX: number, offsetX: number ): number; } /** @@ -65,7 +65,7 @@ interface Routine { * * @param N - number of indexed elements * @param x - input array -* @param stride - stride length +* @param strideX - stride length * @returns arithmetic mean * * @example diff --git a/lib/node_modules/@stdlib/stats/base/dmeanpn/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dmeanpn/examples/c/example.c index 2719968f6ef2..69a11945ab30 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanpn/examples/c/example.c +++ b/lib/node_modules/@stdlib/stats/base/dmeanpn/examples/c/example.c @@ -17,21 +17,20 @@ */ #include "stdlib/stats/base/dmeanpn.h" -#include #include int main( void ) { // Create a strided array: - double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 }; + const double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 }; // Specify the number of elements: - int64_t N = 4; + const int N = 4; // Specify the stride length: - int64_t stride = 2; + const int strideX = 2; // Compute the arithmetic mean: - double v = stdlib_strided_dmeanpn( N, x, stride ); + double v = stdlib_strided_dmeanpn( N, x, strideX ); // Print the result: printf( "mean: %lf\n", v ); diff --git a/lib/node_modules/@stdlib/stats/base/dmeanpn/examples/index.js b/lib/node_modules/@stdlib/stats/base/dmeanpn/examples/index.js index edc9e5d603e5..d2e9f10540df 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanpn/examples/index.js +++ b/lib/node_modules/@stdlib/stats/base/dmeanpn/examples/index.js @@ -18,18 +18,12 @@ 'use strict'; -var randu = require( '@stdlib/random/base/randu' ); -var round = require( '@stdlib/math/base/special/round' ); -var Float64Array = require( '@stdlib/array/float64' ); +var uniform = require( '@stdlib/random/array/uniform' ); var dmeanpn = require( './../lib' ); -var x; -var i; - -x = new Float64Array( 10 ); -for ( i = 0; i < x.length; i++ ) { - x[ i ] = round( (randu()*100.0) - 50.0 ); -} +var x = uniform( 10, -10.0, 10.0, { + 'dtype': 'float64' +}); console.log( x ); var v = dmeanpn( x.length, x, 1 ); diff --git a/lib/node_modules/@stdlib/stats/base/dmeanpn/include/stdlib/stats/base/dmeanpn.h b/lib/node_modules/@stdlib/stats/base/dmeanpn/include/stdlib/stats/base/dmeanpn.h index e862ff0223fc..f875f50c7ffc 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanpn/include/stdlib/stats/base/dmeanpn.h +++ b/lib/node_modules/@stdlib/stats/base/dmeanpn/include/stdlib/stats/base/dmeanpn.h @@ -19,7 +19,7 @@ #ifndef STDLIB_STATS_BASE_DMEANPN_H #define STDLIB_STATS_BASE_DMEANPN_H -#include +#include "stdlib/blas/base/shared.h" /* * If C++, prevent name mangling so that the compiler emits a binary file having undecorated names, thus mirroring the behavior of a C compiler. @@ -31,7 +31,13 @@ extern "C" { /** * Computes the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm. */ -double stdlib_strided_dmeanpn( const int64_t N, const double *X, const int64_t stride ); +double API_SUFFIX( stdlib_strided_dmeanpn )( const CBLAS_INT N, const double *X, const CBLAS_INT strideX ); + +/** +* Computes the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm and alternative indexing semantics. +*/ +double API_SUFFIX( stdlib_strided_dmeanpn_ndarray )( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ); + #ifdef __cplusplus } diff --git a/lib/node_modules/@stdlib/stats/base/dmeanpn/lib/dmeanpn.js b/lib/node_modules/@stdlib/stats/base/dmeanpn/lib/dmeanpn.js index 8e16ab5c841c..c42784508ee1 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanpn/lib/dmeanpn.js +++ b/lib/node_modules/@stdlib/stats/base/dmeanpn/lib/dmeanpn.js @@ -20,8 +20,8 @@ // MODULES // -var dsumpw = require( '@stdlib/blas/ext/base/dsumpw' ); -var dapxsumpw = require( '@stdlib/blas/ext/base/dapxsumpw' ); +var stride2offset = require( '@stdlib/strided/base/stride2offset' ); +var ndarray = require( './ndarray.js' ); // MAIN // @@ -40,35 +40,20 @@ var dapxsumpw = require( '@stdlib/blas/ext/base/dapxsumpw' ); * * @param {PositiveInteger} N - number of indexed elements * @param {Float64Array} x - input array -* @param {integer} stride - stride length +* @param {integer} strideX - strideX length * @returns {number} arithmetic mean * * @example * var Float64Array = require( '@stdlib/array/float64' ); * * var x = new Float64Array( [ 1.0, -2.0, 2.0 ] ); -* var N = x.length; * -* var v = dmeanpn( N, x, 1 ); +* var v = dmeanpn( x.length, x, 1 ); * // returns ~0.3333 */ -function dmeanpn( N, x, stride ) { - var mu; - var c; - - if ( N <= 0 ) { - return NaN; - } - if ( N === 1 || stride === 0 ) { - return x[ 0 ]; - } - // Compute an estimate for the mean: - mu = dsumpw( N, x, stride ) / N; - - // Compute an error term: - c = dapxsumpw( N, -mu, x, stride ) / N; - - return mu + c; +function dmeanpn( N, x, strideX ) { + var ox = stride2offset( N, strideX ); + return ndarray( N, x, strideX, ox ); } diff --git a/lib/node_modules/@stdlib/stats/base/dmeanpn/lib/dmeanpn.native.js b/lib/node_modules/@stdlib/stats/base/dmeanpn/lib/dmeanpn.native.js index e5ab4e869d67..363778dab71c 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanpn/lib/dmeanpn.native.js +++ b/lib/node_modules/@stdlib/stats/base/dmeanpn/lib/dmeanpn.native.js @@ -30,20 +30,19 @@ var addon = require( './../src/addon.node' ); * * @param {PositiveInteger} N - number of indexed elements * @param {Float64Array} x - input array -* @param {integer} stride - stride length +* @param {integer} strideX - strideX length * @returns {number} arithmetic mean * * @example * var Float64Array = require( '@stdlib/array/float64' ); * * var x = new Float64Array( [ 1.0, -2.0, 2.0 ] ); -* var N = x.length; * -* var v = dmeanpn( N, x, 1 ); -* // returns ~0.3333 +* var v = dmeanpn( x.length, x, 1 ); +* //returns ~0.3333 */ -function dmeanpn( N, x, stride ) { - return addon( N, x, stride ); +function dmeanpn( N, x, strideX ) { + return addon( N, x, strideX ); } diff --git a/lib/node_modules/@stdlib/stats/base/dmeanpn/lib/index.js b/lib/node_modules/@stdlib/stats/base/dmeanpn/lib/index.js index c67e359a4b48..dc6f75ee562c 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanpn/lib/index.js +++ b/lib/node_modules/@stdlib/stats/base/dmeanpn/lib/index.js @@ -28,9 +28,8 @@ * var dmeanpn = require( '@stdlib/stats/base/dmeanpn' ); * * var x = new Float64Array( [ 1.0, -2.0, 2.0 ] ); -* var N = x.length; * -* var v = dmeanpn( N, x, 1 ); +* var v = dmeanpn( 3, x, 1 ); * // returns ~0.3333 * * @example @@ -39,9 +38,8 @@ * var dmeanpn = require( '@stdlib/stats/base/dmeanpn' ); * * var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] ); -* var N = floor( x.length / 2 ); * -* var v = dmeanpn.ndarray( N, x, 2, 1 ); +* var v = dmeanpn.ndarray( 4, x, 2, 1 ); * // returns 1.25 */ diff --git a/lib/node_modules/@stdlib/stats/base/dmeanpn/lib/ndarray.js b/lib/node_modules/@stdlib/stats/base/dmeanpn/lib/ndarray.js index e7e4450fc3bd..e1e7d9e4b784 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanpn/lib/ndarray.js +++ b/lib/node_modules/@stdlib/stats/base/dmeanpn/lib/ndarray.js @@ -27,7 +27,7 @@ var dapxsumpw = require( '@stdlib/blas/ext/base/dapxsumpw' ).ndarray; // MAIN // /** -* Computes the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm. +* Computes the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm and alternative indexing semantics. * * ## Method * @@ -40,35 +40,33 @@ var dapxsumpw = require( '@stdlib/blas/ext/base/dapxsumpw' ).ndarray; * * @param {PositiveInteger} N - number of indexed elements * @param {Float64Array} x - input array -* @param {integer} stride - stride length -* @param {NonNegativeInteger} offset - starting index +* @param {integer} strideX - strideX length +* @param {NonNegativeInteger} offsetX - starting index * @returns {number} arithmetic mean * * @example * var Float64Array = require( '@stdlib/array/float64' ); -* var floor = require( '@stdlib/math/base/special/floor' ); * * var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] ); -* var N = floor( x.length / 2 ); * -* var v = dmeanpn( N, x, 2, 1 ); +* var v = dmeanpn( 4, x, 2, 1 ); * // returns 1.25 */ -function dmeanpn( N, x, stride, offset ) { +function dmeanpn( N, x, strideX, offsetX ) { var mu; var c; if ( N <= 0 ) { return NaN; } - if ( N === 1 || stride === 0 ) { - return x[ offset ]; + if ( N === 1 || strideX === 0 ) { + return x[ offsetX ]; } // Compute an estimate for the mean: - mu = dsumpw( N, x, stride, offset ) / N; + mu = dsumpw( N, x, strideX, offsetX ) / N; // Compute an error term: - c = dapxsumpw( N, -mu, x, stride, offset ) / N; + c = dapxsumpw( N, -mu, x, strideX, offsetX ) / N; return mu + c; } diff --git a/lib/node_modules/@stdlib/stats/base/dmeanpn/lib/ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dmeanpn/lib/ndarray.native.js index d3cd5fa2a869..b289715fe85c 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanpn/lib/ndarray.native.js +++ b/lib/node_modules/@stdlib/stats/base/dmeanpn/lib/ndarray.native.js @@ -20,19 +20,18 @@ // MODULES // -var Float64Array = require( '@stdlib/array/float64' ); -var addon = require( './dmeanpn.native.js' ); +var addon = require( './../src/addon.node' ); // MAIN // /** -* Computes the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm. +* Computes the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm and alternative indexing semantics. * * @param {PositiveInteger} N - number of indexed elements * @param {Float64Array} x - input array -* @param {integer} stride - stride length -* @param {NonNegativeInteger} offset - starting index +* @param {integer} strideX - stride length +* @param {NonNegativeInteger} offsetX - starting index * @returns {number} arithmetic mean * * @example @@ -40,18 +39,13 @@ var addon = require( './dmeanpn.native.js' ); * var floor = require( '@stdlib/math/base/special/floor' ); * * var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] ); -* var N = floor( x.length / 2 ); * -* var v = dmeanpn( N, x, 2, 1 ); -* // returns 1.25 +* var v = dmeanpn( 4, x, 2, 1 ); +* +* //returns 1.25 */ -function dmeanpn( N, x, stride, offset ) { - var view; - if ( stride < 0 ) { - offset += (N-1) * stride; - } - view = new Float64Array( x.buffer, x.byteOffset+(x.BYTES_PER_ELEMENT*offset), x.length-offset ); // eslint-disable-line max-len - return addon( N, view, stride ); +function dmeanpn( N, x, strideX, offsetX ) { + return addon.ndarray( N, x, strideX, offsetX ); } diff --git a/lib/node_modules/@stdlib/stats/base/dmeanpn/manifest.json b/lib/node_modules/@stdlib/stats/base/dmeanpn/manifest.json index 5be1f195a914..2d0ab05cb687 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanpn/manifest.json +++ b/lib/node_modules/@stdlib/stats/base/dmeanpn/manifest.json @@ -28,7 +28,7 @@ { "task": "build", "src": [ - "./src/dmeanpn.c" + "./src/main.c" ], "include": [ "./include" @@ -40,9 +40,11 @@ "dependencies": [ "@stdlib/blas/ext/base/dsumpw", "@stdlib/blas/ext/base/dapxsumpw", + "@stdlib/blas/base/shared", "@stdlib/napi/export", "@stdlib/napi/argv", "@stdlib/napi/argv-int64", + "@stdlib/strided/base/stride2offset", "@stdlib/napi/argv-strided-float64array", "@stdlib/napi/create-double" ] @@ -50,7 +52,7 @@ { "task": "benchmark", "src": [ - "./src/dmeanpn.c" + "./src/main.c" ], "include": [ "./include" @@ -60,14 +62,16 @@ ], "libpath": [], "dependencies": [ + "@stdlib/blas/base/shared", "@stdlib/blas/ext/base/dsumpw", + "@stdlib/strided/base/stride2offset", "@stdlib/blas/ext/base/dapxsumpw" ] }, { "task": "examples", "src": [ - "./src/dmeanpn.c" + "./src/main.c" ], "include": [ "./include" @@ -77,7 +81,9 @@ ], "libpath": [], "dependencies": [ + "@stdlib/blas/base/shared", "@stdlib/blas/ext/base/dsumpw", + "@stdlib/strided/base/stride2offset", "@stdlib/blas/ext/base/dapxsumpw" ] } diff --git a/lib/node_modules/@stdlib/stats/base/dmeanpn/src/addon.c b/lib/node_modules/@stdlib/stats/base/dmeanpn/src/addon.c index 3b7f19756a51..dd81eccaf78e 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanpn/src/addon.c +++ b/lib/node_modules/@stdlib/stats/base/dmeanpn/src/addon.c @@ -34,10 +34,27 @@ static napi_value addon( napi_env env, napi_callback_info info ) { STDLIB_NAPI_ARGV( env, info, argv, argc, 3 ); STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 ); - STDLIB_NAPI_ARGV_INT64( env, stride, argv, 2 ); - STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, stride, argv, 1 ); - STDLIB_NAPI_CREATE_DOUBLE( env, stdlib_strided_dmeanpn( N, X, stride ), v ); + STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 ); + STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 1 ); + STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX( stdlib_strided_dmeanpn )( N, X, strideX ), v ); return v; } -STDLIB_NAPI_MODULE_EXPORT_FCN( addon ) +/** +* Receives JavaScript callback invocation data. +* +* @param env environment under which the function is invoked +* @param info callback data +* @return Node-API value +*/ +static napi_value addon_method( napi_env env, napi_callback_info info ) { + STDLIB_NAPI_ARGV( env, info, argv, argc, 4 ); + STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 ); + STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 ); + STDLIB_NAPI_ARGV_INT64( env, offsetX, argv, 3 ); + STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 1 ); + STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX( stdlib_strided_dmeanpn_ndarray )( N, X, strideX, offsetX ), v ); + return v; +} + +STDLIB_NAPI_MODULE_EXPORT_FCN_WITH_METHOD( addon, "ndarray", addon_method ) diff --git a/lib/node_modules/@stdlib/stats/base/dmeanpn/src/dmeanpn.c b/lib/node_modules/@stdlib/stats/base/dmeanpn/src/main.c similarity index 50% rename from lib/node_modules/@stdlib/stats/base/dmeanpn/src/dmeanpn.c rename to lib/node_modules/@stdlib/stats/base/dmeanpn/src/main.c index 5a462a86581d..6776bb1eba77 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanpn/src/dmeanpn.c +++ b/lib/node_modules/@stdlib/stats/base/dmeanpn/src/main.c @@ -19,45 +19,47 @@ #include "stdlib/stats/base/dmeanpn.h" #include "stdlib/blas/ext/base/dsumpw.h" #include "stdlib/blas/ext/base/dapxsumpw.h" -#include +#include "stdlib/strided/base/stride2offset.h" +#include "stdlib/blas/base/shared.h" /** * Computes the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm. * -* ## Method -* -* - This implementation uses a two-pass approach, as suggested by Neely (1966). -* -* ## References -* -* - Neely, Peter M. 1966. "Comparison of Several Algorithms for Computation of Means, Standard Deviations and Correlation Coefficients." _Communications of the ACM_ 9 (7). Association for Computing Machinery: 496–99. doi:[10.1145/365719.365958](https://doi.org/10.1145/365719.365958). -* - Schubert, Erich, and Michael Gertz. 2018. "Numerically Stable Parallel Computation of (Co-)Variance." In _Proceedings of the 30th International Conference on Scientific and Statistical Database Management_. New York, NY, USA: Association for Computing Machinery. doi:[10.1145/3221269.3223036](https://doi.org/10.1145/3221269.3223036). -* * @param N number of indexed elements * @param X input array -* @param stride stride length -* @return output value +* @param strideX stride length for `X` +* @return output value */ -double stdlib_strided_dmeanpn( const int64_t N, const double *X, const int64_t stride ) { - double dN; +double API_SUFFIX( stdlib_strided_dmeanpn )( const CBLAS_INT N, const double *X, const CBLAS_INT strideX ) { + const CBLAS_INT ox = stdlib_strided_stride2offset( N, strideX ); + return API_SUFFIX(stdlib_strided_dmeanpn_ndarray)( N, X, strideX, ox ); +} + +/** +* Computes the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm and alternative indexing semantics. +* +* @param N - number of indexed elements +* @param X - input array +* @param strideX - stride length for `X` +* @param offsetX - starting index for `X` +* @returns {double} arithmetic mean +*/ + +double API_SUFFIX( stdlib_strided_dmeanpn_ndarray )( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ) { double mu; double c; if ( N <= 0 ) { return 0.0 / 0.0; // NaN } - if ( N == 1 || stride == 0 ) { - return X[ 0 ]; + if ( N == 1 || strideX == 0 ) { + return X[ offsetX ]; } - dN = (double)N; - // Compute an estimate for the mean: - mu = stdlib_strided_dsumpw( N, X, stride ); - mu /= dN; + mu = stdlib_strided_dsumpw_ndarray( N, X, strideX, offsetX ) / N; // Compute an error term: - c = stdlib_strided_dapxsumpw( N, -mu, X, stride ); - c /= dN; + c = stdlib_strided_dapxsumpw_ndarray( N, -mu, X, strideX, offsetX ) / N; return mu + c; } diff --git a/lib/node_modules/@stdlib/stats/base/dmeanpn/test/test.dmeanpn.js b/lib/node_modules/@stdlib/stats/base/dmeanpn/test/test.dmeanpn.js index 943c9f8061b1..d136e5ae5291 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanpn/test/test.dmeanpn.js +++ b/lib/node_modules/@stdlib/stats/base/dmeanpn/test/test.dmeanpn.js @@ -21,7 +21,6 @@ // MODULES // var tape = require( 'tape' ); -var floor = require( '@stdlib/math/base/special/floor' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var Float64Array = require( '@stdlib/array/float64' ); var dmeanpn = require( './../lib/dmeanpn.js' ); @@ -87,7 +86,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first }); tape( 'the function supports a `stride` parameter', function test( t ) { - var N; var x; var v; @@ -102,15 +100,13 @@ tape( 'the function supports a `stride` parameter', function test( t ) { 2.0 ]); - N = floor( x.length / 2 ); - v = dmeanpn( N, x, 2 ); + v = dmeanpn( 4, x, 2 ); t.strictEqual( v, 1.25, 'returns expected value' ); t.end(); }); tape( 'the function supports a negative `stride` parameter', function test( t ) { - var N; var x; var v; @@ -125,8 +121,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t ) 2.0 ]); - N = floor( x.length / 2 ); - v = dmeanpn( N, x, -2 ); + v = dmeanpn( 4, x, -2 ); t.strictEqual( v, 1.25, 'returns expected value' ); t.end(); @@ -147,7 +142,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f tape( 'the function supports view offsets', function test( t ) { var x0; var x1; - var N; var v; x0 = new Float64Array([ @@ -163,9 +157,8 @@ tape( 'the function supports view offsets', function test( t ) { ]); x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element - N = floor(x1.length / 2); - v = dmeanpn( N, x1, 2 ); + v = dmeanpn( 4, x1, 2 ); t.strictEqual( v, 1.25, 'returns expected value' ); t.end(); diff --git a/lib/node_modules/@stdlib/stats/base/dmeanpn/test/test.dmeanpn.native.js b/lib/node_modules/@stdlib/stats/base/dmeanpn/test/test.dmeanpn.native.js index 24901d904c83..f7954c9a417f 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanpn/test/test.dmeanpn.native.js +++ b/lib/node_modules/@stdlib/stats/base/dmeanpn/test/test.dmeanpn.native.js @@ -22,7 +22,6 @@ var resolve = require( 'path' ).resolve; var tape = require( 'tape' ); -var floor = require( '@stdlib/math/base/special/floor' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var Float64Array = require( '@stdlib/array/float64' ); var tryRequire = require( '@stdlib/utils/try-require' ); @@ -178,7 +177,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first }); tape( 'the function supports a `stride` parameter', opts, function test( t ) { - var N; var x; var v; @@ -193,15 +191,13 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) { 2.0 ]); - N = floor( x.length / 2 ); - v = dmeanpn( N, x, 2 ); + v = dmeanpn( 4, x, 2 ); t.strictEqual( v, 1.25, 'returns expected value' ); t.end(); }); tape( 'the function supports a negative `stride` parameter', opts, function test( t ) { - var N; var x; var v; @@ -216,8 +212,7 @@ tape( 'the function supports a negative `stride` parameter', opts, function test 2.0 ]); - N = floor( x.length / 2 ); - v = dmeanpn( N, x, -2 ); + v = dmeanpn( 4, x, -2 ); t.strictEqual( v, 1.25, 'returns expected value' ); t.end(); @@ -238,7 +233,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f tape( 'the function supports view offsets', opts, function test( t ) { var x0; var x1; - var N; var v; x0 = new Float64Array([ @@ -254,9 +248,8 @@ tape( 'the function supports view offsets', opts, function test( t ) { ]); x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element - N = floor(x1.length / 2); - v = dmeanpn( N, x1, 2 ); + v = dmeanpn( 4, x1, 2 ); t.strictEqual( v, 1.25, 'returns expected value' ); t.end(); diff --git a/lib/node_modules/@stdlib/stats/base/dmeanpn/test/test.ndarray.js b/lib/node_modules/@stdlib/stats/base/dmeanpn/test/test.ndarray.js index 06eb8b940ae1..a6dbd3eb8dc1 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanpn/test/test.ndarray.js +++ b/lib/node_modules/@stdlib/stats/base/dmeanpn/test/test.ndarray.js @@ -21,7 +21,6 @@ // MODULES // var tape = require( 'tape' ); -var floor = require( '@stdlib/math/base/special/floor' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var Float64Array = require( '@stdlib/array/float64' ); var dmeanpn = require( './../lib/ndarray.js' ); @@ -87,7 +86,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first }); tape( 'the function supports a `stride` parameter', function test( t ) { - var N; var x; var v; @@ -102,15 +100,13 @@ tape( 'the function supports a `stride` parameter', function test( t ) { 2.0 ]); - N = floor( x.length / 2 ); - v = dmeanpn( N, x, 2, 0 ); + v = dmeanpn( 4, x, 2, 0 ); t.strictEqual( v, 1.25, 'returns expected value' ); t.end(); }); tape( 'the function supports a negative `stride` parameter', function test( t ) { - var N; var x; var v; @@ -125,8 +121,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t ) 2.0 ]); - N = floor( x.length / 2 ); - v = dmeanpn( N, x, -2, 6 ); + v = dmeanpn( 4, x, -2, 6 ); t.strictEqual( v, 1.25, 'returns expected value' ); t.end(); @@ -145,7 +140,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f }); tape( 'the function supports an `offset` parameter', function test( t ) { - var N; var x; var v; @@ -159,9 +153,8 @@ tape( 'the function supports an `offset` parameter', function test( t ) { 3.0, 4.0 // 3 ]); - N = floor( x.length / 2 ); - v = dmeanpn( N, x, 2, 1 ); + v = dmeanpn( 4, x, 2, 1 ); t.strictEqual( v, 1.25, 'returns expected value' ); t.end(); diff --git a/lib/node_modules/@stdlib/stats/base/dmeanpn/test/test.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dmeanpn/test/test.ndarray.native.js index b648a0c47117..ada26bc81641 100644 --- a/lib/node_modules/@stdlib/stats/base/dmeanpn/test/test.ndarray.native.js +++ b/lib/node_modules/@stdlib/stats/base/dmeanpn/test/test.ndarray.native.js @@ -22,7 +22,6 @@ var resolve = require( 'path' ).resolve; var tape = require( 'tape' ); -var floor = require( '@stdlib/math/base/special/floor' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); var Float64Array = require( '@stdlib/array/float64' ); var tryRequire = require( '@stdlib/utils/try-require' ); @@ -96,7 +95,6 @@ tape( 'if provided an `N` parameter equal to `1`, the function returns the first }); tape( 'the function supports a `stride` parameter', opts, function test( t ) { - var N; var x; var v; @@ -111,15 +109,13 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) { 2.0 ]); - N = floor( x.length / 2 ); - v = dmeanpn( N, x, 2, 0 ); + v = dmeanpn( 4, x, 2, 0 ); t.strictEqual( v, 1.25, 'returns expected value' ); t.end(); }); tape( 'the function supports a negative `stride` parameter', opts, function test( t ) { - var N; var x; var v; @@ -134,8 +130,7 @@ tape( 'the function supports a negative `stride` parameter', opts, function test 2.0 ]); - N = floor( x.length / 2 ); - v = dmeanpn( N, x, -2, 6 ); + v = dmeanpn( 4, x, -2, 6 ); t.strictEqual( v, 1.25, 'returns expected value' ); t.end(); @@ -154,7 +149,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns the f }); tape( 'the function supports an `offset` parameter', opts, function test( t ) { - var N; var x; var v; @@ -168,9 +162,8 @@ tape( 'the function supports an `offset` parameter', opts, function test( t ) { 3.0, 4.0 // 3 ]); - N = floor( x.length / 2 ); - v = dmeanpn( N, x, 2, 1 ); + v = dmeanpn( 4, x, 2, 1 ); t.strictEqual( v, 1.25, 'returns expected value' ); t.end();