ndarray-dnanmean

Author: Neerajpathak07

lib/node_modules/@stdlib/stats/base/dnanmean/include.gypi

@@ -36,7 +36,7 @@
 
     # Source files:
     'src_files': [
-      '<(src_dir)/addon.cpp',
+      '<(src_dir)/addon.c',
       '<!@(node -e "var arr = require(\'@stdlib/utils/library-manifest\')(\'./manifest.json\',{},{\'basedir\':process.cwd(),\'paths\':\'posix\'}).src; for ( var i = 0; i < arr.length; i++ ) { console.log( arr[ i ] ); }")',
     ],
 

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

@@ -19,7 +19,7 @@
 #ifndef STDLIB_STATS_BASE_DNANMEAN_H
 #define STDLIB_STATS_BASE_DNANMEAN_H
 
-#include <stdint.h>
+#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 arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values.
 */
-double stdlib_strided_dnanmean( const int64_t N, const double *X, const int64_t stride );
+double API_SUFFIX(stdlib_strided_dnanmean)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX );
+
+/**
+* Computes the maximum absolute value of a double-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics .
+*/
+double API_SUFFIX(stdlib_strided_dnanmean_ndarray)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
 
 #ifdef __cplusplus
 }

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

@@ -20,7 +20,8 @@
 
 // MODULES //
 
-var dnanmeanpn = require( '@stdlib/stats/base/dnanmeanpn' );
+var stride2offset = require( '@stdlib/strided/base/stride2offset' );
+var ndarray = require( './ndarray.js' );
 
 
 // MAIN //
@@ -30,7 +31,7 @@ var dnanmeanpn = require( '@stdlib/stats/base/dnanmeanpn' );
 *
 * @param {PositiveInteger} N - number of indexed elements
 * @param {Float64Array} x - input array
-* @param {integer} stride - stride length
+* @param {integer} strideX - stride length
 * @returns {number} arithmetic mean
 *
 * @example
@@ -39,11 +40,11 @@ var dnanmeanpn = require( '@stdlib/stats/base/dnanmeanpn' );
 * var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
 * var N = x.length;
 *
-* var v = dnanmean( N, x, 1 );
+* var v = dnanmean( x.length, x, 1 );
 * // returns ~0.3333
 */
-function dnanmean( N, x, stride ) {
-	return dnanmeanpn( N, x, stride );
+function dnanmean( N, x, strideX ) {
+	return ndarray( N, x, strideX, stride2offset( N, strideX ) );
 }
 
 

lib/node_modules/@stdlib/stats/base/dnanmean/lib/dnanmean.native.js

@@ -30,7 +30,7 @@ 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 - stride length
 * @returns {number} arithmetic mean
 *
 * @example
@@ -39,11 +39,11 @@ var addon = require( './../src/addon.node' );
 * var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
 * var N = x.length;
 *
-* var v = dnanmean( N, x, 1 );
+* var v = dnanmean( x.length, x, 1 );
 * // returns ~0.3333
 */
-function dnanmean( N, x, stride ) {
-	return addon( N, x, stride );
+function dnanmean( N, x, strideX ) {
+	return addon( N, x, strideX );
 }
 
 

lib/node_modules/@stdlib/stats/base/dnanmean/lib/index.js

@@ -30,18 +30,16 @@
 * var x = new Float64Array( [ 1.0, -2.0, NaN, 2.0 ] );
 * var N = 3;
 *
-* var v = dnanmean( N, x, 1 );
+* var v = dnanmean( x.length, x, 1 );
 * // returns ~0.3333
 *
 * @example
 * var Float64Array = require( '@stdlib/array/float64' );
-* var floor = require( '@stdlib/math/base/special/floor' );
 * var dnanmean = require( '@stdlib/stats/base/dnanmean' );
 *
 * var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ] );
-* var N = floor( x.length / 2 );
 *
-* var v = dnanmean.ndarray( N, x, 2, 1 );
+* var v = dnanmean.ndarray( 5, x, 2, 1 );
 * // returns 1.25
 */
 

lib/node_modules/@stdlib/stats/base/dnanmean/lib/ndarray.js

@@ -30,22 +30,20 @@ var dnanmeanpn = require( '@stdlib/stats/base/dnanmeanpn' ).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 - stride 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, NaN ] );
-* var N = floor( x.length / 2 );
 *
-* var v = dnanmean( N, x, 2, 1 );
+* var v = dnanmean( 5, x, 2, 1 );
 * // returns 1.25
 */
-function dnanmean( N, x, stride, offset ) {
-	return dnanmeanpn( N, x, stride, offset );
+function dnanmean( N, x, strideX, offsetX ) {
+	return dnanmeanpn( N, x, strideX, offsetX );
 }
 
 

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

@@ -20,8 +20,7 @@
 
 // MODULES //
 
-var Float64Array = require( '@stdlib/array/float64' );
-var addon = require( './dnanmean.native.js' );
+var addon = require( './../src/addon.node' );
 
 
 // MAIN //
@@ -31,27 +30,20 @@ var addon = require( './dnanmean.native.js' );
 *
 * @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
 * 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, NaN ] );
-* var N = floor( x.length / 2 );
 *
-* var v = dnanmean( N, x, 2, 1 );
+* var v = dnanmean( 5, x, 2, 1 );
 * // returns 1.25
 */
-function dnanmean( 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 dnanmean( N, x, strideX, offsetX ) {
+	return addon.ndarray( N, x, strideX, offsetX );
 }
 
 

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

@@ -1,5 +1,8 @@
 {
-  "options": {},
+  "options": {
+    "task": "build",
+    "wasm": false
+  },
   "fields": [
     {
       "field": "src",
@@ -24,17 +27,75 @@
   ],
   "confs": [
     {
+      "task": "build",
+      "wasm": false,
       "src": [
-        "./src/dnanmean.c"
+        "./src/main.c"
       ],
       "include": [
         "./include"
       ],
-      "libraries": [
-        "-lm"
+      "libraries": [],
+      "libpath": [],
+      "dependencies": [
+        "@stdlib/blas/base/shared",
+        "@stdlib/strided/base/stride2offset",
+        "@stdlib/stats/base/dnanmeanpn",
+        "@stdlib/napi/export",
+        "@stdlib/napi/argv",
+        "@stdlib/napi/argv-int64",
+        "@stdlib/napi/argv-strided-float64array",
+        "@stdlib/napi/create-double"
+      ]
+    },
+    {
+      "task": "benchmark",
+      "wasm": false,
+      "src": [
+        "./src/main.c"
+      ],
+      "include": [
+        "./include"
+      ],
+      "libraries": [],
+      "libpath": [],
+      "dependencies": [
+        "@stdlib/blas/base/shared",
+        "@stdlib/strided/base/stride2offset",
+        "@stdlib/stats/base/dnanmeanpn"
+      ]
+    },
+    {
+      "task": "examples",
+      "wasm": false,
+      "src": [
+        "./src/main.c"
+      ],
+      "include": [
+        "./include"
+      ],
+      "libraries": [],
+      "libpath": [],
+      "dependencies": [
+        "@stdlib/blas/base/shared",
+        "@stdlib/strided/base/stride2offset",
+        "@stdlib/stats/base/dnanmeanpn"
+      ]
+    },
+    {
+      "task": "",
+      "wasm": true,
+      "src": [
+        "./src/main.c"
+      ],
+      "include": [
+        "./include"
       ],
+      "libraries": [],
       "libpath": [],
       "dependencies": [
+        "@stdlib/blas/base/shared",
+        "@stdlib/strided/base/stride2offset",
         "@stdlib/stats/base/dnanmeanpn"
       ]
     }

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

@@ -0,0 +1,62 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2020 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+#include "stdlib/stats/base/dnanmean.h"
+#include "stdlib/napi/export.h"
+#include "stdlib/napi/argv.h"
+#include "stdlib/napi/argv_int64.h"
+#include "stdlib/napi/argv_strided_float64array.h"
+#include "stdlib/napi/create_double.h"
+#include <node_api.h>
+
+
+
+/**
+* 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( 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, strideX, argv, 2 );
+	STDLIB_NAPI_ARGV_STRIDED_FLOAT64ARRAY( env, X, N, strideX, argv, 1 );
+	STDLIB_NAPI_CREATE_DOUBLE( env, stdlib_strided_dnanmean( N, X, strideX ), v );
+	return v;
+}
+
+/**
+* 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, stdlib_strided_dnanmean_ndarray( N, X, strideX, offsetX ), v );
+	return v;
+}
+
+STDLIB_NAPI_MODULE_EXPORT_FCN_WITH_METHOD( addon, "ndarray", addon_method )