118 lines
3.5 KiB
C++
118 lines
3.5 KiB
C++
/**
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* @license Apache-2.0
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*
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* Copyright (c) 2020 The Stdlib Authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include "stdlib/stats/base/dmeankbn.h"
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#include <node_api.h>
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#include <stdint.h>
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#include <stdlib.h>
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#include <stdbool.h>
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#include <assert.h>
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/**
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* Add-on namespace.
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*/
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namespace stdlib_stats_base_dmeankbn {
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/**
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* Computes the arithmetic mean of a double-precision floating-point strided array using an improved Kahan–Babuška algorithm.
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*
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* ## Notes
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*
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* - When called from JavaScript, the function expects three arguments:
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*
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* - `N`: number of indexed elements
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* - `X`: input array
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* - `stride`: stride length
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*/
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napi_value node_dmeankbn( napi_env env, napi_callback_info info ) {
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napi_status status;
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size_t argc = 3;
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napi_value argv[ 3 ];
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status = napi_get_cb_info( env, info, &argc, argv, nullptr, nullptr );
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assert( status == napi_ok );
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if ( argc < 3 ) {
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napi_throw_error( env, nullptr, "invalid invocation. Must provide 3 arguments." );
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return nullptr;
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}
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napi_valuetype vtype0;
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status = napi_typeof( env, argv[ 0 ], &vtype0 );
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assert( status == napi_ok );
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if ( vtype0 != napi_number ) {
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napi_throw_type_error( env, nullptr, "invalid argument. First argument must be a number." );
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return nullptr;
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}
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bool res;
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status = napi_is_typedarray( env, argv[ 1 ], &res );
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assert( status == napi_ok );
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if ( res == false ) {
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napi_throw_type_error( env, nullptr, "invalid argument. Second argument must be a Float64Array." );
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return nullptr;
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}
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napi_valuetype vtype2;
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status = napi_typeof( env, argv[ 2 ], &vtype2 );
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assert( status == napi_ok );
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if ( vtype2 != napi_number ) {
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napi_throw_type_error( env, nullptr, "invalid argument. Third argument must be a number." );
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return nullptr;
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}
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int64_t N;
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status = napi_get_value_int64( env, argv[ 0 ], &N );
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assert( status == napi_ok );
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int64_t stride;
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status = napi_get_value_int64( env, argv[ 2 ], &stride );
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assert( status == napi_ok );
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napi_typedarray_type vtype1;
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size_t xlen;
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void *X;
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status = napi_get_typedarray_info( env, argv[ 1 ], &vtype1, &xlen, &X, nullptr, nullptr );
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assert( status == napi_ok );
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if ( vtype1 != napi_float64_array ) {
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napi_throw_type_error( env, nullptr, "invalid argument. Second argument must be a Float64Array." );
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return nullptr;
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}
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if ( (N-1)*llabs(stride) >= (int64_t)xlen ) {
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napi_throw_range_error( env, nullptr, "invalid argument. Second argument has insufficient elements based on the associated stride and the number of indexed elements." );
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return nullptr;
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}
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napi_value v;
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status = napi_create_double( env, stdlib_strided_dmeankbn( N, (double *)X, stride ), &v );
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assert( status == napi_ok );
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return v;
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}
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napi_value Init( napi_env env, napi_value exports ) {
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napi_status status;
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napi_value fcn;
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status = napi_create_function( env, "exports", NAPI_AUTO_LENGTH, node_dmeankbn, NULL, &fcn );
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assert( status == napi_ok );
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return fcn;
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}
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NAPI_MODULE( NODE_GYP_MODULE_NAME, Init )
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} // end namespace stdlib_stats_base_dmeankbn
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