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chore: apply code suggestions
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‎lib/node_modules/@stdlib/stats/base/sdsnanmeanors/README.md‎

Lines changed: 13 additions & 13 deletions
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@@ -53,7 +53,7 @@ var sdsnanmeanors = require( '@stdlib/stats/base/sdsnanmeanors' );
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#### sdsnanmeanors( N, x, strideX )
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56-
Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array `x`, ignoring `NaN` values and using ordinary recursive summation with extended accumulation.
56+
Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation with extended accumulation.
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```javascript
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var Float32Array = require( '@stdlib/array/float32' );
@@ -69,7 +69,7 @@ The function has the following parameters:
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- **N**: number of indexed elements.
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- **x**: input [`Float32Array`][@stdlib/array/float32].
72-
- **strideX**: index increment for `x`.
72+
- **strideX**: stride length for `x`.
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The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the [arithmetic mean][arithmetic-mean] of every other element in `x`,
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@@ -178,10 +178,10 @@ console.log( v );
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Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation with extended accumulation.
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180180
```c
181-
const float x[] = { 1.0, -2.0, 0.0/0.0, 2.0 };
181+
const float x[] = { 1.0f, -2.0f, 0.0f/0.0f, 2.0f };
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183-
double v = stdlib_strided_sdsnanmeanors( x.length, x, 1 );
184-
// returns ~0.3333
183+
float v = stdlib_strided_sdsnanmeanors( x.length, x, 1 );
184+
// returns ~0.3333f
185185
```
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The function accepts the following arguments:
@@ -191,18 +191,18 @@ The function accepts the following arguments:
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- **strideX**: `[in] CBLAS_INT` stride length for `X`.
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```c
194-
double stdlib_strided_sdsnanmeanors( const CBLAS_INT N, const double *X, const CBLAS_INT strideX );
194+
float stdlib_strided_sdsnanmeanors( const CBLAS_INT N, const float *X, const CBLAS_INT strideX );
195195
```
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197197
#### stdlib_strided_sdsnanmeanors_ndarray( N, \*X, strideX, offsetX )
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199199
Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation with extended accumulation and alternative indexing semantics.
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```c
202-
const float x[] = { 1.0, -2.0, 0.0/0.0, 2.0 };
202+
const float x[] = { 1.0f, -2.0f, 0.0f/0.0f, 2.0f };
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204-
double v = stdlib_strided_sdsnanmeanors_ndarray( x.length, x, 1, 0 );
205-
// returns ~0.3333
204+
float v = stdlib_strided_sdsnanmeanors_ndarray( x.length, x, 1, 0 );
205+
// returns ~0.3333f
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```
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The function accepts the following arguments:
@@ -213,7 +213,7 @@ The function accepts the following arguments:
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- **offsetX**: `[in] CBLAS_INT` starting index for `X`.
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```c
216-
double stdlib_strided_sdsnanmeanors_ndarray( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
216+
float stdlib_strided_sdsnanmeanors_ndarray( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
217217
```
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219219
</section>
@@ -240,7 +240,7 @@ double stdlib_strided_sdsnanmeanors_ndarray( const CBLAS_INT N, const double *X,
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241241
int main( void ) {
242242
// Create a strided array:
243-
const float x[] = { 1.0, 2.0, 0.0/0.0, 3.0, 0.0/0.0, 4.0, 5.0, 6.0, 0.0/0.0, 7.0, 8.0, 0.0/0.0 };
243+
const float x[] = { 1.0f, 2.0f, 0.0f/0.0f, 3.0f, 0.0f/0.0f, 4.0f, 5.0f, 6.0f, 0.0f/0.0f, 7.0f, 8.0f, 0.0f/0.0f };
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// Specify the number of elements:
246246
const int N = 6;
@@ -249,10 +249,10 @@ int main( void ) {
249249
const int strideX = 2;
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251251
// Compute the arithmetic mean:
252-
double v = stdlib_strided_sdsnanmeanors( N, x, strideX );
252+
float v = stdlib_strided_sdsnanmeanors( N, x, strideX );
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254254
// Print the result:
255-
printf( "mean: %lf\n", v );
255+
printf( "mean: %f\n", v );
256256
}
257257
```
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‎lib/node_modules/@stdlib/stats/base/sdsnanmeanors/examples/c/example.c‎

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@@ -21,7 +21,7 @@
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int main( void ) {
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// Create a strided array:
24-
const float x[] = { 1.0, 2.0, 0.0/0.0, 3.0, 0.0/0.0, 4.0, 5.0, 6.0, 0.0/0.0, 7.0, 8.0, 0.0/0.0 };
24+
const float x[] = { 1.0f, 2.0f, 0.0f/0.0f, 3.0f, 0.0f/0.0f, 4.0f, 5.0f, 6.0f, 0.0f/0.0f, 7.0f, 8.0f, 0.0f/0.0f };
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2626
// Specify the number of elements:
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const int N = 6;

‎lib/node_modules/@stdlib/stats/base/sdsnanmeanors/include/stdlib/stats/base/sdsnanmeanors.h‎

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@@ -31,12 +31,12 @@ extern "C" {
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/**
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* Computes the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation with extended accumulation.
3333
*/
34-
double API_SUFFIX( stdlib_strided_sdsnanmeanors )( const CBLAS_INT N, const float *X, const CBLAS_INT strideX );
34+
float API_SUFFIX(stdlib_strided_sdsnanmeanors)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX );
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3636
/**
3737
* Computes the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation with extended accumulation and alternative indexing semantics.
3838
*/
39-
double API_SUFFIX( stdlib_strided_sdsnanmeanors_ndarray )( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
39+
float API_SUFFIX(stdlib_strided_sdsnanmeanors_ndarray)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
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#ifdef __cplusplus
4242
}

‎lib/node_modules/@stdlib/stats/base/sdsnanmeanors/lib/ndarray.native.js‎

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@@ -40,7 +40,7 @@ var addon = require( './../src/addon.node' );
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* var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
4141
*
4242
* var v = sdsnanmeanors( 4, x, 2, 1 );
43-
* //returns 1.25
43+
* //returns 1.25
4444
*/
4545
function sdsnanmeanors( N, x, strideX, offsetX ) {
4646
return addon.ndarray( N, x, strideX, offsetX );

‎lib/node_modules/@stdlib/stats/base/sdsnanmeanors/lib/sdsnanmeanors.js‎

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Original file line numberDiff line numberDiff line change
@@ -43,8 +43,7 @@ var ndarray = require( './ndarray.js' );
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* // returns ~0.3333
4444
*/
4545
function sdsnanmeanors( N, x, strideX ) {
46-
var ox = stride2offset( N, strideX );
47-
return ndarray( N, x, strideX, ox );
46+
return ndarray( N, x, strideX, stride2offset( N, strideX ) );
4847
}
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‎lib/node_modules/@stdlib/stats/base/sdsnanmeanors/lib/sdsnanmeanors.native.js‎

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Original file line numberDiff line numberDiff line change
@@ -39,7 +39,7 @@ var addon = require( './../src/addon.node' );
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* var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
4040
*
4141
* var v = sdsnanmeanors( x.length, x, 1 );
42-
* //returns ~0.3333
42+
* //returns ~0.3333
4343
*/
4444
function sdsnanmeanors( N, x, strideX ) {
4545
return addon( N, x, strideX );

‎lib/node_modules/@stdlib/stats/base/sdsnanmeanors/manifest.json‎

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@@ -1,6 +1,7 @@
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{
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"options": {
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"task": "build"
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"task": "build",
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"wasm": false
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},
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"fields": [
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{
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"confs": [
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{
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"task": "build",
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"wasm": false,
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"src": [
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"./src/main.c"
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],
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"include": [
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"./include"
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],
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"libraries": [
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"-lm"
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],
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"libraries": [],
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"libpath": [],
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"dependencies": [
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"@stdlib/blas/base/shared",
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"@stdlib/strided/base/stride2offset",
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"@stdlib/math/base/assert/is-nan",
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"@stdlib/napi/export",
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"@stdlib/napi/argv",
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"@stdlib/napi/argv-int64",
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"@stdlib/napi/argv-strided-float32array",
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"@stdlib/blas/base/shared",
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"@stdlib/math/base/assert/is-nan",
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"@stdlib/strided/base/stride2offset",
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"@stdlib/napi/create-double"
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]
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},
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{
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"task": "benchmark",
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"wasm": false,
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"src": [
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"./src/main.c"
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],
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"include": [
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"./include"
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],
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"libraries": [
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"-lm"
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],
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"libraries": [],
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"libpath": [],
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"dependencies": [
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"@stdlib/blas/base/shared",
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"@stdlib/math/base/assert/is-nan",
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"@stdlib/strided/base/stride2offset"
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"@stdlib/strided/base/stride2offset",
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"@stdlib/math/base/assert/is-nan"
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]
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},
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{
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"task": "examples",
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"wasm": false,
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"src": [
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"./src/main.c"
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],
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"include": [
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"./include"
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],
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"libraries": [
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"-lm"
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"libraries": [],
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"libpath": [],
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"dependencies": [
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"@stdlib/blas/base/shared",
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"@stdlib/strided/base/stride2offset",
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"@stdlib/math/base/assert/is-nan"
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]
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},
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{
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"task": "",
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"wasm": true,
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"src": [
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"./src/main.c"
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],
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"include": [
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"./include"
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],
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"libraries": [],
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"libpath": [],
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"dependencies": [
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"@stdlib/blas/base/shared",
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"@stdlib/math/base/assert/is-nan",
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"@stdlib/strided/base/stride2offset"
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"@stdlib/strided/base/stride2offset",
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"@stdlib/math/base/assert/is-nan"
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86101
}
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]

‎lib/node_modules/@stdlib/stats/base/sdsnanmeanors/src/addon.c‎

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Original file line numberDiff line numberDiff line change
@@ -37,7 +37,7 @@ static napi_value addon( napi_env env, napi_callback_info info ) {
3737
STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 );
3838
STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
3939
STDLIB_NAPI_ARGV_STRIDED_FLOAT32ARRAY( env, X, N, strideX, argv, 1 );
40-
STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX( stdlib_strided_sdsnanmeanors )( N, X, strideX ), v );
40+
STDLIB_NAPI_CREATE_DOUBLE( env, (double)API_SUFFIX(stdlib_strided_sdsnanmeanors)( N, X, strideX ), v );
4141
return v;
4242
}
4343

@@ -54,7 +54,7 @@ static napi_value addon_method( napi_env env, napi_callback_info info ) {
5454
STDLIB_NAPI_ARGV_INT64( env, offsetX, argv, 3 );
5555
STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
5656
STDLIB_NAPI_ARGV_STRIDED_FLOAT32ARRAY( env, X, N, strideX, argv, 1 );
57-
STDLIB_NAPI_CREATE_DOUBLE( env, API_SUFFIX( stdlib_strided_sdsnanmeanors_ndarray )( N, X, strideX, offsetX ), v );
57+
STDLIB_NAPI_CREATE_DOUBLE( env, (double)API_SUFFIX(stdlib_strided_sdsnanmeanors_ndarray)( N, X, strideX, offsetX ), v );
5858
return v;
5959
}
6060

‎lib/node_modules/@stdlib/stats/base/sdsnanmeanors/src/main.c‎

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@@ -29,7 +29,7 @@
2929
* @param strideX stride length
3030
* @return output value
3131
*/
32-
double API_SUFFIX( stdlib_strided_sdsnanmeanors )( const CBLAS_INT N, const float *X, const CBLAS_INT strideX ) {
32+
float API_SUFFIX(stdlib_strided_sdsnanmeanors)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX ) {
3333
const CBLAS_INT ox = stdlib_strided_stride2offset( N, strideX );
3434
return API_SUFFIX( stdlib_strided_sdsnanmeanors_ndarray )( N, X, strideX, ox );
3535
}
@@ -42,7 +42,7 @@ double API_SUFFIX( stdlib_strided_sdsnanmeanors )( const CBLAS_INT N, const floa
4242
* @param offsetX starting index for X
4343
* @return output value
4444
*/
45-
double API_SUFFIX( stdlib_strided_sdsnanmeanors_ndarray )( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ) {
45+
float API_SUFFIX(stdlib_strided_sdsnanmeanors_ndarray)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ) {
4646
double sum;
4747
CBLAS_INT ix;
4848
CBLAS_INT i;

‎lib/node_modules/@stdlib/stats/base/sdsnanmeanors/test/test.sdsnanmeanors.js‎

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Original file line numberDiff line numberDiff line change
@@ -61,7 +61,7 @@ tape( 'the function calculates the arithmetic mean of a strided array, ignoring
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t.end();
6262
});
6363

64-
tape( 'if provided an `4` parameter less than or equal to `0`, the function returns `NaN`', function test( t ) {
64+
tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `NaN`', function test( t ) {
6565
var x;
6666
var v;
6767

@@ -76,7 +76,7 @@ tape( 'if provided an `4` parameter less than or equal to `0`, the function retu
7676
t.end();
7777
});
7878

79-
tape( 'if provided an `4` parameter equal to `1`, the function returns the first element', function test( t ) {
79+
tape( 'if provided an `N` parameter equal to `1`, the function returns the first element', function test( t ) {
8080
var x;
8181
var v;
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