diff --git a/lib/node_modules/@stdlib/stats/base/dvariancepn/README.md b/lib/node_modules/@stdlib/stats/base/dvariancepn/README.md
index a2c83064d151..e2470fcd9e0b 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariancepn/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dvariancepn/README.md
@@ -98,7 +98,7 @@ The use of the term `n-1` is commonly referred to as Bessel's correction. Note,
var dvariancepn = require( '@stdlib/stats/base/dvariancepn' );
```
-#### dvariancepn( N, correction, x, stride )
+#### dvariancepn( N, correction, x, strideX )
Computes the [variance][variance] of a double-precision floating-point strided array `x` using a two-pass algorithm.
@@ -106,9 +106,8 @@ Computes the [variance][variance] of a double-precision floating-point strided a
var Float64Array = require( '@stdlib/array/float64' );
var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-var N = x.length;
-var v = dvariancepn( N, 1, x, 1 );
+var v = dvariancepn( x.length, 1, x, 1 );
// returns ~4.3333
```
@@ -117,18 +116,16 @@ The function has the following parameters:
- **N**: number of indexed elements.
- **correction**: degrees of freedom adjustment. Setting this parameter to a value other than `0` has the effect of adjusting the divisor during the calculation of the [variance][variance] according to `N-c` where `c` corresponds to the provided degrees of freedom adjustment. When computing the [variance][variance] of a population, setting this parameter to `0` is the standard choice (i.e., the provided array contains data constituting an entire population). When computing the unbiased sample [variance][variance], setting this parameter to `1` is the standard choice (i.e., the provided array contains data sampled from a larger population; this is commonly referred to as Bessel's correction).
- **x**: input [`Float64Array`][@stdlib/array/float64].
-- **stride**: index increment for `x`.
+- **strideX**: stride length for `x`.
-The `N` and `stride` parameters determine which elements in `x` are accessed at runtime. For example, to compute the [variance][variance] of every other element in `x`,
+The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the [variance][variance] 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 = dvariancepn( N, 1, x, 2 );
+var v = dvariancepn( 4, 1, x, 2 );
// returns 6.25
```
@@ -138,18 +135,15 @@ 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 = dvariancepn( N, 1, x1, 2 );
+var v = dvariancepn( 4, 1, x1, 2 );
// returns 6.25
```
-#### dvariancepn.ndarray( N, correction, x, stride, offset )
+#### dvariancepn.ndarray( N, correction, x, strideX, offsetX )
Computes the [variance][variance] of a double-precision floating-point strided array using a two-pass algorithm and alternative indexing semantics.
@@ -157,26 +151,23 @@ Computes the [variance][variance] of a double-precision floating-point strided a
var Float64Array = require( '@stdlib/array/float64' );
var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-var N = x.length;
-var v = dvariancepn.ndarray( N, 1, x, 1, 0 );
+var v = dvariancepn.ndarray( x.length, 1, x, 1, 0 );
// returns ~4.33333
```
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 [variance][variance] for every other value in `x` starting from the second value
+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 [variance][variance] for every other element in `x` starting from the second element
```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 = dvariancepn.ndarray( N, 1, x, 2, 1 );
+var v = dvariancepn.ndarray( 4, 1, x, 2, 1 );
// returns 6.25
```
@@ -202,18 +193,12 @@ var v = dvariancepn.ndarray( N, 1, x, 2, 1 );
```javascript
-var randu = require( '@stdlib/random/base/randu' );
-var round = require( '@stdlib/math/base/special/round' );
-var Float64Array = require( '@stdlib/array/float64' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var dvariancepn = require( '@stdlib/stats/base/dvariancepn' );
-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 = discreteUniform( 10, -50, 50, {
+ 'dtype': 'float64'
+});
console.log( x );
var v = dvariancepn( x.length, 1, x, 1 );
@@ -224,6 +209,125 @@ console.log( v );
+
+
+* * *
+
+
+
+## C APIs
+
+
+
+
+
+
+
+
+
+
+
+### Usage
+
+```c
+#include "stdlib/stats/base/dvariancepn.h"
+```
+
+#### stdlib_strided_dvariancepn( N, correction, \*X, strideX )
+
+Computes the [variance][variance] of a double-precision floating-point strided array using a two-pass algorithm.
+
+```c
+const double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 }
+
+double v = stdlib_strided_dvariancepn( 8, 1.0, x, 1 );
+// returns 6.0
+```
+
+The function accepts the following arguments:
+
+- **N**: `[in] CBLAS_INT` number of indexed elements.
+- **correction**: `[in] double` degrees of freedom adjustment. Setting this parameter to a value other than `0` has the effect of adjusting the divisor during the calculation of the [variance][variance] according to `N-c` where `c` corresponds to the provided degrees of freedom adjustment. When computing the [variance][variance] of a population, setting this parameter to `0` is the standard choice (i.e., the provided array contains data constituting an entire population). When computing the unbiased sample [variance][variance], setting this parameter to `1` is the standard choice (i.e., the provided array contains data sampled from a larger population; this is commonly referred to as Bessel's correction).
+- **X**: `[in] double*` input array.
+- **strideX**: `[in] CBLAS_INT` stride length for `X`.
+
+```c
+double stdlib_strided_dvariancepn( const CBLAS_INT N, const double correction, const double *X, const CBLAS_INT strideX );
+```
+
+#### stdlib_strided_dvariancepn_ndarray( N, correction, \*X, strideX, offsetX )
+
+Computes the [variance][variance] of a double-precision floating-point strided array using a two-pass algorithm and alternative indexing semantics.
+
+```c
+const double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 }
+
+double v = stdlib_strided_dvariancepn_ndarray( 4, 1.0, x, 2, 0 );
+// returns ~6.666667
+```
+
+The function accepts the following arguments:
+
+- **N**: `[in] CBLAS_INT` number of indexed elements.
+- **correction**: `[in] double` degrees of freedom adjustment. Setting this parameter to a value other than `0` has the effect of adjusting the divisor during the calculation of the [variance][variance] according to `N-c` where `c` corresponds to the provided degrees of freedom adjustment. When computing the [variance][variance] of a population, setting this parameter to `0` is the standard choice (i.e., the provided array contains data constituting an entire population). When computing the unbiased sample [variance][variance], setting this parameter to `1` is the standard choice (i.e., the provided array contains data sampled from a larger population; this is commonly referred to as Bessel's correction).
+- **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_dvariancepn_ndarray( const CBLAS_INT N, const double correction, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+### Examples
+
+```c
+#include "stdlib/stats/base/dvariancepn.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 variance:
+ double v = stdlib_strided_dvariancepn( N, 1.0, x, strideX );
+
+ // Print the result:
+ printf( "sample variance: %lf\n", v );
+}
+```
+
+
+
+
+
+
+
+
+
* * *
diff --git a/lib/node_modules/@stdlib/stats/base/dvariancepn/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dvariancepn/benchmark/benchmark.js
index 9356ac09867b..6d5e1483f487 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariancepn/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dvariancepn/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 dvariancepn = require( './../lib/dvariancepn.js' );
+// VARIABLES //
+
+var options = {
+ 'dtype': 'float64'
+};
+
+
// FUNCTIONS //
/**
@@ -39,13 +45,7 @@ var dvariancepn = require( './../lib/dvariancepn.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/dvariancepn/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dvariancepn/benchmark/benchmark.native.js
index 9af58732f864..e25ff0b14c76 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariancepn/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dvariancepn/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 dvariancepn = tryRequire( resolve( __dirname, './../lib/dvariancepn.native.j
var opts = {
'skip': ( dvariancepn 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/dvariancepn/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/base/dvariancepn/benchmark/benchmark.ndarray.js
index be5c5eb0f585..b61af4b1cdf0 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariancepn/benchmark/benchmark.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dvariancepn/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 dvariancepn = require( './../lib/ndarray.js' );
+// VARIABLES //
+
+var options = {
+ 'dtype': 'float64'
+};
+
+
// FUNCTIONS //
/**
@@ -39,13 +45,7 @@ var dvariancepn = 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/dvariancepn/benchmark/benchmark.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dvariancepn/benchmark/benchmark.ndarray.native.js
index 041e67bd1432..8b436b1afdb8 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariancepn/benchmark/benchmark.ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dvariancepn/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 dvariancepn = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' )
var opts = {
'skip': ( dvariancepn 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/dvariancepn/benchmark/c/benchmark.length.c b/lib/node_modules/@stdlib/stats/base/dvariancepn/benchmark/c/benchmark.length.c
index bec6fffe6253..2139344126c7 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariancepn/benchmark/c/benchmark.length.c
+++ b/lib/node_modules/@stdlib/stats/base/dvariancepn/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_dvariancepn( len, 1.0, 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_dvariancepn_ndarray( len, 1.0, 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/dvariancepn/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dvariancepn/docs/repl.txt
index a970883a0e1f..1113261afebb 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariancepn/docs/repl.txt
+++ b/lib/node_modules/@stdlib/stats/base/dvariancepn/docs/repl.txt
@@ -1,10 +1,10 @@
-{{alias}}( N, correction, x, stride )
+{{alias}}( N, correction, x, strideX )
Computes the variance of a double-precision floating-point strided array
using a two-pass 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.
@@ -31,8 +31,8 @@
x: Float64Array
Input array.
- stride: integer
- Index increment.
+ strideX: integer
+ Stride length.
Returns
-------
@@ -46,22 +46,19 @@
> {{alias}}( x.length, 1, x, 1 )
~4.3333
- // 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, 1, x, stride )
+ > {{alias}}( 3, 1, x, 2 )
~4.3333
// 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, 1, x1, stride )
+ > {{alias}}( 3, 1, x1, 2 )
~4.3333
-{{alias}}.ndarray( N, correction, x, stride, offset )
+
+{{alias}}.ndarray( N, correction, x, strideX, offsetX )
Computes the variance of a double-precision floating-point strided array
using a two-pass algorithm and alternative indexing semantics.
@@ -89,10 +86,10 @@
x: Float64Array
Input array.
- stride: integer
- Index increment.
+ strideX: integer
+ Stride length.
- offset: integer
+ offsetX: integer
Starting index.
Returns
@@ -109,8 +106,7 @@
// 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, 1, x, 2, 1 )
+ > {{alias}}.ndarray( 3, 1, x, 2, 1 )
~4.3333
See Also
diff --git a/lib/node_modules/@stdlib/stats/base/dvariancepn/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/dvariancepn/docs/types/index.d.ts
index f6cf81de4464..a8969411fafb 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariancepn/docs/types/index.d.ts
+++ b/lib/node_modules/@stdlib/stats/base/dvariancepn/docs/types/index.d.ts
@@ -28,7 +28,7 @@ interface Routine {
* @param N - number of indexed elements
* @param correction - degrees of freedom adjustment
* @param x - input array
- * @param stride - stride length
+ * @param strideX - stride length
* @returns variance
*
* @example
@@ -39,7 +39,7 @@ interface Routine {
* var v = dvariancepn( x.length, 1, x, 1 );
* // returns ~4.3333
*/
- ( N: number, correction: number, x: Float64Array, stride: number ): number;
+ ( N: number, correction: number, x: Float64Array, strideX: number ): number;
/**
* Computes the variance of a double-precision floating-point strided array using a two-pass algorithm and alternative indexing semantics.
@@ -47,8 +47,8 @@ interface Routine {
* @param N - number of indexed elements
* @param correction - degrees of freedom adjustment
* @param x - input array
- * @param stride - stride length
- * @param offset - starting index
+ * @param strideX - stride length
+ * @param offsetX - starting index
* @returns variance
*
* @example
@@ -59,7 +59,7 @@ interface Routine {
* var v = dvariancepn.ndarray( x.length, 1, x, 1, 0 );
* // returns ~4.3333
*/
- ndarray( N: number, correction: number, x: Float64Array, stride: number, offset: number ): number;
+ ndarray( N: number, correction: number, x: Float64Array, strideX: number, offsetX: number ): number;
}
/**
@@ -68,7 +68,7 @@ interface Routine {
* @param N - number of indexed elements
* @param correction - degrees of freedom adjustment
* @param x - input array
-* @param stride - stride length
+* @param strideX - stride length
* @returns variance
*
* @example
diff --git a/lib/node_modules/@stdlib/stats/base/dvariancepn/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dvariancepn/examples/c/example.c
index 0f337f017fd5..2b9b1bbfca8d 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariancepn/examples/c/example.c
+++ b/lib/node_modules/@stdlib/stats/base/dvariancepn/examples/c/example.c
@@ -17,21 +17,20 @@
*/
#include "stdlib/stats/base/dvariancepn.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 variance:
- double v = stdlib_strided_dvariancepn( N, 1, x, stride );
+ double v = stdlib_strided_dvariancepn( N, 1, x, strideX );
// Print the result:
printf( "sample variance: %lf\n", v );
diff --git a/lib/node_modules/@stdlib/stats/base/dvariancepn/examples/index.js b/lib/node_modules/@stdlib/stats/base/dvariancepn/examples/index.js
index 2a3db31a834e..dff4e48464b6 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariancepn/examples/index.js
+++ b/lib/node_modules/@stdlib/stats/base/dvariancepn/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 discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var dvariancepn = 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 = discreteUniform( 10, -50, 50, {
+ 'dtype': 'float64'
+});
console.log( x );
var v = dvariancepn( x.length, 1, x, 1 );
diff --git a/lib/node_modules/@stdlib/stats/base/dvariancepn/include/stdlib/stats/base/dvariancepn.h b/lib/node_modules/@stdlib/stats/base/dvariancepn/include/stdlib/stats/base/dvariancepn.h
index 00284d0e74b4..48cee71d8bfe 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariancepn/include/stdlib/stats/base/dvariancepn.h
+++ b/lib/node_modules/@stdlib/stats/base/dvariancepn/include/stdlib/stats/base/dvariancepn.h
@@ -19,7 +19,7 @@
#ifndef STDLIB_STATS_BASE_DVARIANCEPN_H
#define STDLIB_STATS_BASE_DVARIANCEPN_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 +31,12 @@ extern "C" {
/**
* Computes the variance of a double-precision floating-point strided array using a two-pass algorithm.
*/
-double stdlib_strided_dvariancepn( const int64_t N, const double correction, const double *X, const int64_t stride );
+double API_SUFFIX(stdlib_strided_dvariancepn)( const CBLAS_INT N, const double correction, const double *X, const CBLAS_INT strideX );
+
+/**
+* Computes the variance of a double-precision floating-point strided array using a two-pass algorithm and alternative indexing semantics.
+*/
+double API_SUFFIX(stdlib_strided_dvariancepn_ndarray)( const CBLAS_INT N, const double correction, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
#ifdef __cplusplus
}
diff --git a/lib/node_modules/@stdlib/stats/base/dvariancepn/lib/dvariancepn.js b/lib/node_modules/@stdlib/stats/base/dvariancepn/lib/dvariancepn.js
index 83fadb4b6519..e5c33e6e76b5 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariancepn/lib/dvariancepn.js
+++ b/lib/node_modules/@stdlib/stats/base/dvariancepn/lib/dvariancepn.js
@@ -20,7 +20,8 @@
// MODULES //
-var dsumpw = require( '@stdlib/blas/ext/base/dsumpw' );
+var stride2offset = require( '@stdlib/strided/base/stride2offset' );
+var ndarray = require( './ndarray.js' );
// MAIN //
@@ -40,52 +41,19 @@ var dsumpw = require( '@stdlib/blas/ext/base/dsumpw' );
* @param {PositiveInteger} N - number of indexed elements
* @param {number} correction - degrees of freedom adjustment
* @param {Float64Array} x - input array
-* @param {integer} stride - stride length
+* @param {integer} strideX - stride length
* @returns {number} variance
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-* var N = x.length;
*
-* var v = dvariancepn( N, 1, x, 1 );
+* var v = dvariancepn( x.length, 1, x, 1 );
* // returns ~4.3333
*/
-function dvariancepn( N, correction, x, stride ) {
- var mu;
- var ix;
- var M2;
- var M;
- var d;
- var n;
- var i;
-
- n = N - correction;
- if ( N <= 0 || n <= 0.0 ) {
- return NaN;
- }
- if ( N === 1 || stride === 0 ) {
- return 0.0;
- }
- // Compute an estimate for the mean:
- mu = dsumpw( N, x, stride ) / N;
-
- if ( stride < 0 ) {
- ix = (1-N) * stride;
- } else {
- ix = 0;
- }
- // Compute the variance...
- M2 = 0.0;
- M = 0.0;
- for ( i = 0; i < N; i++ ) {
- d = x[ ix ] - mu;
- M2 += d * d;
- M += d;
- ix += stride;
- }
- return (M2/n) - ((M/N)*(M/n));
+function dvariancepn( N, correction, x, strideX ) {
+ return ndarray( N, correction, x, strideX, stride2offset( N, strideX ) );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dvariancepn/lib/dvariancepn.native.js b/lib/node_modules/@stdlib/stats/base/dvariancepn/lib/dvariancepn.native.js
index e64dd7544302..88678f7eb409 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariancepn/lib/dvariancepn.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dvariancepn/lib/dvariancepn.native.js
@@ -31,20 +31,19 @@ var addon = require( './../src/addon.node' );
* @param {PositiveInteger} N - number of indexed elements
* @param {number} correction - degrees of freedom adjustment
* @param {Float64Array} x - input array
-* @param {integer} stride - stride length
+* @param {integer} strideX - stride length
* @returns {number} variance
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
*
* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-* var N = x.length;
*
-* var v = dvariancepn( N, 1, x, 1 );
+* var v = dvariancepn( x.length, 1, x, 1 );
* // returns ~4.3333
*/
-function dvariancepn( N, correction, x, stride ) {
- return addon( N, correction, x, stride );
+function dvariancepn( N, correction, x, strideX ) {
+ return addon( N, correction, x, strideX );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dvariancepn/lib/index.js b/lib/node_modules/@stdlib/stats/base/dvariancepn/lib/index.js
index 602b42f409ab..be5471299fd3 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariancepn/lib/index.js
+++ b/lib/node_modules/@stdlib/stats/base/dvariancepn/lib/index.js
@@ -28,20 +28,17 @@
* var dvariancepn = require( '@stdlib/stats/base/dvariancepn' );
*
* var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-* var N = x.length;
*
-* var v = dvariancepn( N, 1, x, 1 );
+* var v = dvariancepn( x.length, 1, x, 1 );
* // returns ~4.3333
*
* @example
* var Float64Array = require( '@stdlib/array/float64' );
-* var floor = require( '@stdlib/math/base/special/floor' );
* var dvariancepn = require( '@stdlib/stats/base/dvariancepn' );
*
* 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 = dvariancepn.ndarray( N, 1, x, 2, 1 );
+* var v = dvariancepn.ndarray( 4, 1, x, 2, 1 );
* // returns 6.25
*/
diff --git a/lib/node_modules/@stdlib/stats/base/dvariancepn/lib/ndarray.js b/lib/node_modules/@stdlib/stats/base/dvariancepn/lib/ndarray.js
index 7f2b436be50d..e09686339a38 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariancepn/lib/ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dvariancepn/lib/ndarray.js
@@ -40,21 +40,19 @@ var dsumpw = require( '@stdlib/blas/ext/base/dsumpw' ).ndarray;
* @param {PositiveInteger} N - number of indexed elements
* @param {number} correction - degrees of freedom adjustment
* @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} variance
*
* @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 = dvariancepn( N, 1, x, 2, 1 );
+* var v = dvariancepn( 4, 1, x, 2, 1 );
* // returns 6.25
*/
-function dvariancepn( N, correction, x, stride, offset ) {
+function dvariancepn( N, correction, x, strideX, offsetX ) {
var mu;
var ix;
var M2;
@@ -67,21 +65,21 @@ function dvariancepn( N, correction, x, stride, offset ) {
if ( N <= 0 || n <= 0.0 ) {
return NaN;
}
- if ( N === 1 || stride === 0 ) {
+ if ( N === 1 || strideX === 0 ) {
return 0.0;
}
// Compute an estimate for the mean:
- mu = dsumpw( N, x, stride, offset ) / N;
+ mu = dsumpw( N, x, strideX, offsetX ) / N;
// Compute the variance...
- ix = offset;
+ ix = offsetX;
M2 = 0.0;
M = 0.0;
for ( i = 0; i < N; i++ ) {
d = x[ ix ] - mu;
M2 += d * d;
M += d;
- ix += stride;
+ ix += strideX;
}
return (M2/n) - ((M/N)*(M/n));
}
diff --git a/lib/node_modules/@stdlib/stats/base/dvariancepn/lib/ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dvariancepn/lib/ndarray.native.js
index bea2992f28a6..d363f4601601 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariancepn/lib/ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dvariancepn/lib/ndarray.native.js
@@ -20,8 +20,7 @@
// MODULES //
-var Float64Array = require( '@stdlib/array/float64' );
-var addon = require( './dvariancepn.native.js' );
+var addon = require( './../src/addon.node' );
// MAIN //
@@ -32,27 +31,20 @@ var addon = require( './dvariancepn.native.js' );
* @param {PositiveInteger} N - number of indexed elements
* @param {number} correction - degrees of freedom adjustment
* @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} variance
*
* @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 = dvariancepn( N, 1, x, 2, 1 );
+* var v = dvariancepn( 4, 1, x, 2, 1 );
* // returns 6.25
*/
-function dvariancepn( N, correction, 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, correction, view, stride );
+function dvariancepn( N, correction, x, strideX, offsetX ) {
+ return addon.ndarray( N, correction, x, strideX, offsetX );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dvariancepn/manifest.json b/lib/node_modules/@stdlib/stats/base/dvariancepn/manifest.json
index e91a6c7339b1..eee543e2c17a 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariancepn/manifest.json
+++ b/lib/node_modules/@stdlib/stats/base/dvariancepn/manifest.json
@@ -1,6 +1,7 @@
{
"options": {
- "task": "build"
+ "task": "build",
+ "wasm": false
},
"fields": [
{
@@ -27,18 +28,19 @@
"confs": [
{
"task": "build",
+ "wasm": false,
"src": [
- "./src/dvariancepn.c"
+ "./src/main.c"
],
"include": [
"./include"
],
- "libraries": [
- "-lm"
- ],
+ "libraries": [],
"libpath": [],
"dependencies": [
"@stdlib/blas/ext/base/dsumpw",
+ "@stdlib/blas/base/shared",
+ "@stdlib/strided/base/stride2offset",
"@stdlib/napi/export",
"@stdlib/napi/argv",
"@stdlib/napi/argv-int64",
@@ -49,34 +51,53 @@
},
{
"task": "benchmark",
+ "wasm": false,
"src": [
- "./src/dvariancepn.c"
+ "./src/main.c"
],
"include": [
"./include"
],
- "libraries": [
- "-lm"
- ],
+ "libraries": [],
"libpath": [],
"dependencies": [
- "@stdlib/blas/ext/base/dsumpw"
+ "@stdlib/blas/ext/base/dsumpw",
+ "@stdlib/blas/base/shared",
+ "@stdlib/strided/base/stride2offset"
]
},
{
"task": "examples",
+ "wasm": false,
"src": [
- "./src/dvariancepn.c"
+ "./src/main.c"
],
"include": [
"./include"
],
- "libraries": [
- "-lm"
+ "libraries": [],
+ "libpath": [],
+ "dependencies": [
+ "@stdlib/blas/ext/base/dsumpw",
+ "@stdlib/blas/base/shared",
+ "@stdlib/strided/base/stride2offset"
+ ]
+ },
+ {
+ "task": "",
+ "wasm": true,
+ "src": [
+ "./src/main.c"
+ ],
+ "include": [
+ "./include"
],
+ "libraries": [],
"libpath": [],
"dependencies": [
- "@stdlib/blas/ext/base/dsumpw"
+ "@stdlib/blas/ext/base/dsumpw",
+ "@stdlib/blas/base/shared",
+ "@stdlib/strided/base/stride2offset"
]
}
]
diff --git a/lib/node_modules/@stdlib/stats/base/dvariancepn/src/addon.c b/lib/node_modules/@stdlib/stats/base/dvariancepn/src/addon.c
index f43890ff4aae..c91dffd425aa 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariancepn/src/addon.c
+++ b/lib/node_modules/@stdlib/stats/base/dvariancepn/src/addon.c
@@ -17,6 +17,7 @@
*/
#include "stdlib/stats/base/dvariancepn.h"
+#include "stdlib/blas/base/shared.h"
#include "stdlib/napi/export.h"
#include "stdlib/napi/argv.h"
#include "stdlib/napi/argv_int64.h"
@@ -35,11 +36,29 @@
static napi_value addon( 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, stride, argv, 3 );
STDLIB_NAPI_ARGV_DOUBLE( env, correction, argv, 1 );
- STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, stride, argv, 2 );
- STDLIB_NAPI_CREATE_DOUBLE( env, stdlib_strided_dvariancepn( N, correction, X, stride ), v );
+ STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 3 );
+ STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 2 )
+ STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX(stdlib_strided_dvariancepn)( N, correction, 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, 5 );
+ STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 );
+ STDLIB_NAPI_ARGV_DOUBLE( env, correction, argv, 1 );
+ STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 3 );
+ STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 2 );
+ STDLIB_NAPI_ARGV_INT64( env, offsetX, argv, 4 );
+ STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX(stdlib_strided_dvariancepn_ndarray)( N, correction, 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/dvariancepn/src/dvariancepn.c b/lib/node_modules/@stdlib/stats/base/dvariancepn/src/main.c
similarity index 59%
rename from lib/node_modules/@stdlib/stats/base/dvariancepn/src/dvariancepn.c
rename to lib/node_modules/@stdlib/stats/base/dvariancepn/src/main.c
index 6c71778c9261..48df188fc2cf 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariancepn/src/dvariancepn.c
+++ b/lib/node_modules/@stdlib/stats/base/dvariancepn/src/main.c
@@ -18,7 +18,8 @@
#include "stdlib/stats/base/dvariancepn.h"
#include "stdlib/blas/ext/base/dsumpw.h"
-#include
+#include "stdlib/blas/base/shared.h"
+#include "stdlib/strided/base/stride2offset.h"
/**
* Computes the variance of a double-precision floating-point strided array using a two-pass algorithm.
@@ -32,15 +33,30 @@
* - 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 correction degrees of freedom adjustment
-* @param X input array
-* @param stride stride length
-* @return output value
+* @param N number of indexed elements
+* @param correction degrees of freedom adjustment
+* @param X input array
+* @param strideX stride length
+* @return output value
*/
-double stdlib_strided_dvariancepn( const int64_t N, const double correction, const double *X, const int64_t stride ) {
- int64_t ix;
- int64_t i;
+double API_SUFFIX(stdlib_strided_dvariancepn)( const CBLAS_INT N, const double correction, const double *X, const CBLAS_INT strideX ) {
+ const CBLAS_INT ox = stdlib_strided_stride2offset( N, strideX );
+ return API_SUFFIX(stdlib_strided_dvariancepn_ndarray)( N, correction, X, strideX, ox );
+}
+
+/**
+* Computes the variance of a double-precision floating-point strided array using a two-pass algorithm and alternative indexing semantics.
+*
+* @param N number of indexed elements
+* @param correction degrees of freedom adjustment
+* @param X input array
+* @param strideX stride length
+* @param offsetX starting index for X
+* @return output value
+*/
+double API_SUFFIX(stdlib_strided_dvariancepn_ndarray)( const CBLAS_INT N, const double correction, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ) {
+ CBLAS_INT ix;
+ CBLAS_INT i;
double dN;
double mu;
double M2;
@@ -53,17 +69,14 @@ double stdlib_strided_dvariancepn( const int64_t N, const double correction, con
if ( N <= 0 || n <= 0.0 ) {
return 0.0 / 0.0; // NaN
}
- if ( N == 1 || stride == 0 ) {
+ if ( N == 1 || strideX == 0 ) {
return 0.0;
}
// Compute an estimate for the mean:
- mu = stdlib_strided_dsumpw( N, X, stride ) / dN;
+ mu = API_SUFFIX(stdlib_strided_dsumpw_ndarray)( N, X, strideX, offsetX ) / dN;
+
+ ix = offsetX;
- if ( stride < 0 ) {
- ix = (1-N) * stride;
- } else {
- ix = 0;
- }
// Compute the variance...
M2 = 0.0;
M = 0.0;
@@ -71,7 +84,7 @@ double stdlib_strided_dvariancepn( const int64_t N, const double correction, con
d = X[ ix ] - mu;
M2 += d * d;
M += d;
- ix += stride;
+ ix += strideX;
}
return (M2/n) - ((M/dN)*(M/n));
}
diff --git a/lib/node_modules/@stdlib/stats/base/dvariancepn/test/test.dvariancepn.js b/lib/node_modules/@stdlib/stats/base/dvariancepn/test/test.dvariancepn.js
index 4774c7f3a55f..a128ed25d85b 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariancepn/test/test.dvariancepn.js
+++ b/lib/node_modules/@stdlib/stats/base/dvariancepn/test/test.dvariancepn.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 dvariancepn = require( './../lib/dvariancepn.js' );
@@ -121,7 +120,6 @@ tape( 'if provided a `correction` parameter yielding `N-correction` less than or
});
tape( 'the function supports a `stride` parameter', function test( t ) {
- var N;
var x;
var v;
@@ -136,15 +134,13 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
2.0
]);
- N = floor( x.length / 2 );
- v = dvariancepn( N, 1, x, 2 );
+ v = dvariancepn( 4, 1, x, 2 );
t.strictEqual( v, 6.25, 'returns expected value' );
t.end();
});
tape( 'the function supports a negative `stride` parameter', function test( t ) {
- var N;
var x;
var v;
@@ -159,8 +155,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
2.0
]);
- N = floor( x.length / 2 );
- v = dvariancepn( N, 1, x, -2 );
+ v = dvariancepn( 4, 1, x, -2 );
t.strictEqual( v, 6.25, 'returns expected value' );
t.end();
@@ -181,7 +176,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns `0`',
tape( 'the function supports view offsets', function test( t ) {
var x0;
var x1;
- var N;
var v;
x0 = new Float64Array([
@@ -197,9 +191,8 @@ 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 = dvariancepn( N, 1, x1, 2 );
+ v = dvariancepn( 4, 1, x1, 2 );
t.strictEqual( v, 6.25, 'returns expected value' );
t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/dvariancepn/test/test.dvariancepn.native.js b/lib/node_modules/@stdlib/stats/base/dvariancepn/test/test.dvariancepn.native.js
index bd639543ca5c..c3d179a4b119 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariancepn/test/test.dvariancepn.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dvariancepn/test/test.dvariancepn.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' );
@@ -130,7 +129,6 @@ tape( 'if provided a `correction` parameter yielding `N-correction` less than or
});
tape( 'the function supports a `stride` parameter', opts, function test( t ) {
- var N;
var x;
var v;
@@ -145,15 +143,13 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) {
2.0
]);
- N = floor( x.length / 2 );
- v = dvariancepn( N, 1, x, 2 );
+ v = dvariancepn( 4, 1, x, 2 );
t.strictEqual( v, 6.25, 'returns expected value' );
t.end();
});
tape( 'the function supports a negative `stride` parameter', opts, function test( t ) {
- var N;
var x;
var v;
@@ -168,8 +164,7 @@ tape( 'the function supports a negative `stride` parameter', opts, function test
2.0
]);
- N = floor( x.length / 2 );
- v = dvariancepn( N, 1, x, -2 );
+ v = dvariancepn( 4, 1, x, -2 );
t.strictEqual( v, 6.25, 'returns expected value' );
t.end();
@@ -190,7 +185,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns `0`',
tape( 'the function supports view offsets', opts, function test( t ) {
var x0;
var x1;
- var N;
var v;
x0 = new Float64Array([
@@ -206,9 +200,8 @@ 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 = dvariancepn( N, 1, x1, 2 );
+ v = dvariancepn( 4, 1, x1, 2 );
t.strictEqual( v, 6.25, 'returns expected value' );
t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/dvariancepn/test/test.ndarray.js b/lib/node_modules/@stdlib/stats/base/dvariancepn/test/test.ndarray.js
index 401a11e321f5..56c4fa5ee9d7 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariancepn/test/test.ndarray.js
+++ b/lib/node_modules/@stdlib/stats/base/dvariancepn/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 dvariancepn = require( './../lib/ndarray.js' );
@@ -121,7 +120,6 @@ tape( 'if provided a `correction` parameter yielding `N-correction` less than or
});
tape( 'the function supports a `stride` parameter', function test( t ) {
- var N;
var x;
var v;
@@ -136,15 +134,13 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
2.0
]);
- N = floor( x.length / 2 );
- v = dvariancepn( N, 1, x, 2, 0 );
+ v = dvariancepn( 4, 1, x, 2, 0 );
t.strictEqual( v, 6.25, 'returns expected value' );
t.end();
});
tape( 'the function supports a negative `stride` parameter', function test( t ) {
- var N;
var x;
var v;
@@ -159,8 +155,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
2.0
]);
- N = floor( x.length / 2 );
- v = dvariancepn( N, 1, x, -2, 6 );
+ v = dvariancepn( 4, 1, x, -2, 6 );
t.strictEqual( v, 6.25, 'returns expected value' );
t.end();
@@ -179,7 +174,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns `0`',
});
tape( 'the function supports an `offset` parameter', function test( t ) {
- var N;
var x;
var v;
@@ -193,9 +187,8 @@ tape( 'the function supports an `offset` parameter', function test( t ) {
3.0,
4.0 // 3
]);
- N = floor( x.length / 2 );
- v = dvariancepn( N, 1, x, 2, 1 );
+ v = dvariancepn( 4, 1, x, 2, 1 );
t.strictEqual( v, 6.25, 'returns expected value' );
t.end();
diff --git a/lib/node_modules/@stdlib/stats/base/dvariancepn/test/test.ndarray.native.js b/lib/node_modules/@stdlib/stats/base/dvariancepn/test/test.ndarray.native.js
index d85915b27707..2f25ddd43e9f 100644
--- a/lib/node_modules/@stdlib/stats/base/dvariancepn/test/test.ndarray.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dvariancepn/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' );
@@ -130,7 +129,6 @@ tape( 'if provided a `correction` parameter yielding `N-correction` less than or
});
tape( 'the function supports a `stride` parameter', opts, function test( t ) {
- var N;
var x;
var v;
@@ -145,15 +143,13 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) {
2.0
]);
- N = floor( x.length / 2 );
- v = dvariancepn( N, 1, x, 2, 0 );
+ v = dvariancepn( 4, 1, x, 2, 0 );
t.strictEqual( v, 6.25, 'returns expected value' );
t.end();
});
tape( 'the function supports a negative `stride` parameter', opts, function test( t ) {
- var N;
var x;
var v;
@@ -168,8 +164,7 @@ tape( 'the function supports a negative `stride` parameter', opts, function test
2.0
]);
- N = floor( x.length / 2 );
- v = dvariancepn( N, 1, x, -2, 6 );
+ v = dvariancepn( 4, 1, x, -2, 6 );
t.strictEqual( v, 6.25, 'returns expected value' );
t.end();
@@ -188,7 +183,6 @@ tape( 'if provided a `stride` parameter equal to `0`, the function returns `0`',
});
tape( 'the function supports an `offset` parameter', opts, function test( t ) {
- var N;
var x;
var v;
@@ -202,9 +196,8 @@ tape( 'the function supports an `offset` parameter', opts, function test( t ) {
3.0,
4.0 // 3
]);
- N = floor( x.length / 2 );
- v = dvariancepn( N, 1, x, 2, 1 );
+ v = dvariancepn( 4, 1, x, 2, 1 );
t.strictEqual( v, 6.25, 'returns expected value' );
t.end();