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compute-erfc

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Complementary error function.

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'use strict'; // MODULES // var isNumber = require( 'validate.io-number-primitive' ), isnan = require( 'validate.io-nan' ), isArrayLike = require( 'validate.io-array-like' ), isTypedArrayLike = require( 'validate.io-typed-array-like' ), isMatrixLike = require( 'validate.io-matrix-like' ), ctors = require( 'compute-array-constructors' ), matrix = require( 'dstructs-matrix' ), validate = require( './validate.js' ); // FUNCTIONS // var erfc1 = require( './number.js' ), erfc2 = require( './array.js' ), erfc3 = require( './accessor.js' ), erfc4 = require( './deepset.js' ), erfc5 = require( './matrix.js' ), erfc6 = require( './typedarray.js' ); // COMPLEMENTARY ERROR FUNCTION // /** * FUNCTION: erfc( x[, opts] ) * Computes the complementary error function. * * @param {Number|Number[]|Array|Int8Array|Uint8Array|Uint8ClampedArray|Int16Array|Uint16Array|Int32Array|Uint32Array|Float32Array|Float64Array|Matrix} x - input value * @param {Object} [opts] - function options * @param {Boolean} [opts.copy=true] - boolean indicating if the function should return a new data structure * @param {Function} [opts.accessor] - accessor function for accessing array values * @param {String} [opts.path] - deep get/set key path * @param {String} [opts.sep="."] - deep get/set key path separator * @param {String} [opts.dtype="float64"] - output data type * @returns {Number|Number[]|Array|Int8Array|Uint8Array|Uint8ClampedArray|Int16Array|Uint16Array|Int32Array|Uint32Array|Float32Array|Float64Array|Matrix} complementary error function value(s) */ function erfc( x, options ) { /* jshint newcap:false */ var opts = {}, ctor, err, out, dt, d; if ( isNumber( x ) || isnan( x ) ) { return erfc1( x ); } if ( arguments.length > 1 ) { err = validate( opts, options ); if ( err ) { throw err; } } if ( isMatrixLike( x ) ) { if ( opts.copy !== false ) { dt = opts.dtype || 'float64'; ctor = ctors( dt ); if ( ctor === null ) { throw new Error( 'erfc()::invalid option. Data type option does not have a corresponding array constructor. Option: `' + dt + '`.' ); } // Create an output matrix: d = new ctor( x.length ); out = matrix( d, x.shape, dt ); } else { out = x; } return erfc5( out, x ); } if ( isTypedArrayLike( x ) ) { if ( opts.copy === false ) { out = x; } else { dt = opts.dtype || 'float64'; ctor = ctors( dt ); if ( ctor === null ) { throw new Error( 'erfc()::invalid option. Data type option does not have a corresponding array constructor. Option: `' + dt + '`.' ); } out = new ctor( x.length ); } return erfc6( out, x ); } if ( isArrayLike( x ) ) { // Handle deepset first... if ( opts.path ) { opts.sep = opts.sep || '.'; return erfc4( x, opts.path, opts.sep ); } // Handle regular and accessor arrays next... if ( opts.copy === false ) { out = x; } else if ( opts.dtype ) { ctor = ctors( opts.dtype ); if ( ctor === null ) { throw new TypeError( 'erfc()::invalid option. Data type option does not have a corresponding array constructor. Option: `' + opts.dtype + '`.' ); } out = new ctor( x.length ); } else { out = new Array( x.length ); } if ( opts.accessor ) { return erfc3( out, x, opts.accessor ); } return erfc2( out, x ); } return NaN; } // end FUNCTION erfc() // EXPORTS // module.exports = erfc;