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+ +The scaled [complementary error function][complementary-error-function] is defined as + + + +```math +\mathop{\mathrm{erfcx}}(x) = e^{x^2} \mathop{\mathrm{erfc}}(x) +``` + + + + + +For large values, the scaled [complementary error function][complementary-error-function] is approximately equal to + + + +```math +\left( \frac{1}{\sqrt{\pi}} \right) \frac{1}{x} +``` + + + + + +
+ + + +
+ +## Usage + +```javascript +var erfcxf = require( '@stdlib/math/base/special/erfcxf' ); +``` + +#### erfcxf( x ) + +Evaluates the scaled [complementary error function][complementary-error-function] (single-precision). + +```javascript +var y = erfcxf( 0.0 ); +// returns 1.0 + +y = erfcxf( 1.0 ); +// returns ~0.4276 + +y = erfcxf( -1.0 ); +// returns ~5.01 + +y = erfcxf( 50.0 ); +// returns ~0.011 + +y = erfcxf( -50.0 ); +// returns +Infinity +``` + +If provided `NaN`, the function returns `NaN`. + +```javascript +var y = erfcxf( NaN ); +// returns NaN +``` + +
+ + + +
+ +## Examples + + + +```javascript +var uniform = require( '@stdlib/random/array/uniform' ); +var logEachMap = require( '@stdlib/console/log-each-map' ); +var erfcxf = require( '@stdlib/math/base/special/erfcxf' ); + +var opts = { + 'dtype': 'float32' +}; +var x = uniform( 100, -30.0, 30.0, opts ); + +logEachMap( 'x: %0.4f, erfcxf(x): %0.4f', x, erfcxf ); +``` + +
+ + + + + +* * * + +
+ +## C APIs + + + +
+ +
+ + + + + +
+ +### Usage + +```c +#include "stdlib/math/base/special/erfcxf.h" +``` + +#### stdlib_base_erfcxf( x ) + +Evaluates the [scaled complementary error function][complementary-error-function] (single-precision). + +```c +float y = stdlib_base_erfcxf( 0.0f ); +// returns 1.0f + +y = stdlib_base_erfcxf( 1.0f ); +// returns ~0.4276f +``` + +The function accepts the following arguments: + +- **x**: `[in] float` input value. + +```c +float stdlib_base_erfcxf( const float x ); +``` + +
+ + + + + +
+ +
+ + + + + +
+ +### Examples + +```c +#include "stdlib/math/base/special/erfcxf.h" +#include + +int main( void ) { + const float x[] = { 0.0f, 0.22f, 0.44f, 0.67f, 0.89f, 1.11f, 1.33f, 1.56f, 1.78f, 2.0f }; + + float v; + int i; + for ( i = 0; i < 10; i++ ) { + v = stdlib_base_erfcxf( x[ i ] ); + printf( "x: %f, erfcxf(x): %f\n", x[ i ], v ); + } +} +``` + +
+ + + +
+ + + + + +
+ +* * * + +## See Also + +- [`@stdlib/math/base/special/erfcf`][@stdlib/math/base/special/erfcf]: complementary error function (single-precision). +- [`@stdlib/math/base/special/erfcx`][@stdlib/math/base/special/erfcx]: scaled complementary error function. +- [`@stdlib/math/base/special/erfcinvf`][@stdlib/math/base/special/erfcinvf]: inverse complementary error function (single-precision). +- [`@stdlib/math/base/special/erff`][@stdlib/math/base/special/erff]: error function (single-precision). + +
+ + + + + +
+ +[complementary-error-function]: https://en.wikipedia.org/wiki/Error_function + + + +[@stdlib/math/base/special/erfcf]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/special/erfcf + +[@stdlib/math/base/special/erfcx]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/special/erfcx + +[@stdlib/math/base/special/erfcinvf]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/special/erfcinvf + +[@stdlib/math/base/special/erff]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/special/erff + + + +
+ + diff --git a/lib/node_modules/@stdlib/math/base/special/erfcxf/benchmark/benchmark.js b/lib/node_modules/@stdlib/math/base/special/erfcxf/benchmark/benchmark.js new file mode 100644 index 000000000000..825949c903ae --- /dev/null +++ b/lib/node_modules/@stdlib/math/base/special/erfcxf/benchmark/benchmark.js @@ -0,0 +1,52 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2022 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. +*/ + +'use strict'; + +// MODULES // + +var bench = require( '@stdlib/bench' ); +var uniform = require( '@stdlib/random/array/uniform' ); +var isnanf = require( '@stdlib/math/base/assert/is-nanf' ); +var pkg = require( './../package.json' ).name; +var erfcxf = require( './../lib' ); + + +// MAIN // + +bench( pkg, function benchmark( b ) { + var x; + var y; + var i; + + x = uniform( 100, -100.0, 100.0 ); + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + y = erfcxf( x[ i % x.length ] ); + if ( isnanf( y ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnanf( y ) ) { + b.fail( 'should not return NaN' ); + } + b.pass( 'benchmark finished' ); + b.end(); +}); diff --git a/lib/node_modules/@stdlib/math/base/special/erfcxf/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/math/base/special/erfcxf/benchmark/benchmark.native.js new file mode 100644 index 000000000000..12fd6df8e56b --- /dev/null +++ b/lib/node_modules/@stdlib/math/base/special/erfcxf/benchmark/benchmark.native.js @@ -0,0 +1,61 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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. +*/ + +'use strict'; + +// MODULES // + +var resolve = require( 'path' ).resolve; +var bench = require( '@stdlib/bench' ); +var uniform = require( '@stdlib/random/array/uniform' ); +var isnanf = require( '@stdlib/math/base/assert/is-nanf' ); +var tryRequire = require( '@stdlib/utils/try-require' ); +var pkg = require( './../package.json' ).name; + + +// VARIABLES // + +var erfcxf = tryRequire( resolve( __dirname, './../lib/native.js' ) ); +var opts = { + 'skip': ( erfcxf instanceof Error ) +}; + + +// MAIN // + +bench( pkg+'::native', opts, function benchmark( b ) { + var x; + var y; + var i; + + x = uniform( 100, -100.0, 100.0 ); + + b.tic(); + for ( i = 0; i < b.iterations; i++ ) { + y = erfcxf( x[ i % x.length ] ); + if ( isnanf( y ) ) { + b.fail( 'should not return NaN' ); + } + } + b.toc(); + if ( isnanf( y ) ) { + b.fail( 'should not return NaN' ); + } + b.pass( 'benchmark finished' ); + b.end(); +}); diff --git a/lib/node_modules/@stdlib/math/base/special/erfcxf/benchmark/c/native/Makefile b/lib/node_modules/@stdlib/math/base/special/erfcxf/benchmark/c/native/Makefile new file mode 100644 index 000000000000..f69e9da2b4d3 --- /dev/null +++ b/lib/node_modules/@stdlib/math/base/special/erfcxf/benchmark/c/native/Makefile @@ -0,0 +1,146 @@ +#/ +# @license Apache-2.0 +# +# Copyright (c) 2024 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. +#/ + +# VARIABLES # + +ifndef VERBOSE + QUIET := @ +else + QUIET := +endif + +# Determine the OS ([1][1], [2][2]). +# +# [1]: https://en.wikipedia.org/wiki/Uname#Examples +# [2]: http://stackoverflow.com/a/27776822/2225624 +OS ?= $(shell uname) +ifneq (, $(findstring MINGW,$(OS))) + OS := WINNT +else +ifneq (, $(findstring MSYS,$(OS))) + OS := WINNT +else +ifneq (, $(findstring CYGWIN,$(OS))) + OS := WINNT +else +ifneq (, $(findstring Windows_NT,$(OS))) + OS := WINNT +endif +endif +endif +endif + +# Define the program used for compiling C source files: +ifdef C_COMPILER + CC := $(C_COMPILER) +else + CC := gcc +endif + +# Define the command-line options when compiling C files: +CFLAGS ?= \ + -std=c99 \ + -O3 \ + -Wall \ + -pedantic + +# Determine whether to generate position independent code ([1][1], [2][2]). +# +# [1]: https://gcc.gnu.org/onlinedocs/gcc/Code-Gen-Options.html#Code-Gen-Options +# [2]: http://stackoverflow.com/questions/5311515/gcc-fpic-option +ifeq ($(OS), WINNT) + fPIC ?= +else + fPIC ?= -fPIC +endif + +# List of includes (e.g., `-I /foo/bar -I /beep/boop/include`): +INCLUDE ?= + +# List of source files: +SOURCE_FILES ?= + +# List of libraries (e.g., `-lopenblas -lpthread`): +LIBRARIES ?= + +# List of library paths (e.g., `-L /foo/bar -L /beep/boop`): +LIBPATH ?= + +# List of C targets: +c_targets := benchmark.out + + +# RULES # + +#/ +# Compiles source files. +# +# @param {string} [C_COMPILER] - C compiler (e.g., `gcc`) +# @param {string} [CFLAGS] - C compiler options +# @param {(string|void)} [fPIC] - compiler flag determining whether to generate position independent code (e.g., `-fPIC`) +# @param {string} [INCLUDE] - list of includes (e.g., `-I /foo/bar -I /beep/boop/include`) +# @param {string} [SOURCE_FILES] - list of source files +# @param {string} [LIBPATH] - list of library paths (e.g., `-L /foo/bar -L /beep/boop`) +# @param {string} [LIBRARIES] - list of libraries (e.g., `-lopenblas -lpthread`) +# +# @example +# make +# +# @example +# make all +#/ +all: $(c_targets) + +.PHONY: all + +#/ +# Compiles C source files. +# +# @private +# @param {string} CC - C compiler (e.g., `gcc`) +# @param {string} CFLAGS - C compiler options +# @param {(string|void)} fPIC - compiler flag determining whether to generate position independent code (e.g., `-fPIC`) +# @param {string} INCLUDE - list of includes (e.g., `-I /foo/bar`) +# @param {string} SOURCE_FILES - list of source files +# @param {string} LIBPATH - list of library paths (e.g., `-L /foo/bar`) +# @param {string} LIBRARIES - list of libraries (e.g., `-lopenblas`) +#/ +$(c_targets): %.out: %.c + $(QUIET) $(CC) $(CFLAGS) $(fPIC) $(INCLUDE) -o $@ $(SOURCE_FILES) $< $(LIBPATH) -lm $(LIBRARIES) + +#/ +# Runs compiled benchmarks. +# +# @example +# make run +#/ +run: $(c_targets) + $(QUIET) ./$< + +.PHONY: run + +#/ +# Removes generated files. +# +# @example +# make clean +#/ +clean: + $(QUIET) -rm -f *.o *.out + +.PHONY: clean diff --git a/lib/node_modules/@stdlib/math/base/special/erfcxf/benchmark/c/native/benchmark.c b/lib/node_modules/@stdlib/math/base/special/erfcxf/benchmark/c/native/benchmark.c new file mode 100644 index 000000000000..0108cf3343a8 --- /dev/null +++ b/lib/node_modules/@stdlib/math/base/special/erfcxf/benchmark/c/native/benchmark.c @@ -0,0 +1,136 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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/math/base/special/erfcxf.h" +#include +#include +#include +#include +#include + +#define NAME "erfcxf" +#define ITERATIONS 1000000 +#define REPEATS 3 + +/** +* Prints the TAP version. +*/ +static void print_version( void ) { + printf( "TAP version 13\n" ); +} + +/** +* Prints the TAP summary. +* +* @param total total number of tests +* @param passing total number of passing tests +*/ +static void print_summary( int total, int passing ) { + printf( "#\n" ); + printf( "1..%d\n", total ); // TAP plan + printf( "# total %d\n", total ); + printf( "# pass %d\n", passing ); + printf( "#\n" ); + printf( "# ok\n" ); +} + +/** +* Prints benchmarks results. +* +* @param elapsed elapsed time in seconds +*/ +static void print_results( double elapsed ) { + double rate = (double)ITERATIONS / elapsed; + printf( " ---\n" ); + printf( " iterations: %d\n", ITERATIONS ); + printf( " elapsed: %0.9f\n", elapsed ); + printf( " rate: %0.9f\n", rate ); + printf( " ...\n" ); +} + +/** +* Returns a clock time. +* +* @return clock time +*/ +static double tic( void ) { + struct timeval now; + gettimeofday( &now, NULL ); + return (double)now.tv_sec + (double)now.tv_usec/1.0e6; +} + +/** +* Generates a random number on the interval [0,1]. +* +* @return random number +*/ +static double rand_double( void ) { + int r = rand(); + return (double)r / ( (double)RAND_MAX + 1.0 ); +} + +/** +* Runs a benchmark. +* +* @return elapsed time in seconds +*/ +static double benchmark( void ) { + double elapsed; + float x[ 100 ]; + float y; + double t; + int i; + + for ( i = 0; i < 100; i++ ) { + x[ i ] = ( 1000.0f * rand_double() ) - 500.0f; + } + + t = tic(); + for ( i = 0; i < ITERATIONS; i++ ) { + y = stdlib_base_erfcxf( x[ i % 100 ] ); + if ( y != y ) { + printf( "should not return NaN\n" ); + break; + } + } + elapsed = tic() - t; + if ( y != y ) { + printf( "should not return NaN\n" ); + } + return elapsed; +} + +/** +* Main execution sequence. +*/ +int main( void ) { + double elapsed; + int i; + + // Use the current time to seed the random number generator: + srand( time( NULL ) ); + + print_version(); + for ( i = 0; i < REPEATS; i++ ) { + printf( "# c::native::%s\n", NAME ); + elapsed = benchmark(); + print_results( elapsed ); + printf( "ok %d benchmark finished\n", i+1 ); + } + print_summary( REPEATS, REPEATS ); +} diff --git a/lib/node_modules/@stdlib/math/base/special/erfcxf/binding.gyp b/lib/node_modules/@stdlib/math/base/special/erfcxf/binding.gyp new file mode 100644 index 000000000000..ec3992233442 --- /dev/null +++ b/lib/node_modules/@stdlib/math/base/special/erfcxf/binding.gyp @@ -0,0 +1,170 @@ +# @license Apache-2.0 +# +# Copyright (c) 2024 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. + +# A `.gyp` file for building a Node.js native add-on. +# +# [1]: https://gyp.gsrc.io/docs/InputFormatReference.md +# [2]: https://gyp.gsrc.io/docs/UserDocumentation.md +{ + # List of files to include in this file: + 'includes': [ + './include.gypi', + ], + + # Define variables to be used throughout the configuration for all targets: + 'variables': { + # Target name should match the add-on export name: + 'addon_target_name%': 'addon', + + # Set variables based on the host OS: + 'conditions': [ + [ + 'OS=="win"', + { + # Define the object file suffix: + 'obj': 'obj', + }, + { + # Define the object file suffix: + 'obj': 'o', + } + ], # end condition (OS=="win") + ], # end conditions + }, # end variables + + # Define compile targets: + 'targets': [ + + # Target to generate an add-on: + { + # The target name should match the add-on export name: + 'target_name': '<(addon_target_name)', + + # Define dependencies: + 'dependencies': [], + + # Define directories which contain relevant include headers: + 'include_dirs': [ + # Local include directory: + '<@(include_dirs)', + ], + + # List of source files: + 'sources': [ + '<@(src_files)', + ], + + # Settings which should be applied when a target's object files are used as linker input: + 'link_settings': { + # Define libraries: + 'libraries': [ + '<@(libraries)', + ], + + # Define library directories: + 'library_dirs': [ + '<@(library_dirs)', + ], + }, + + # C/C++ compiler flags: + 'cflags': [ + # Enable commonly used warning options: + '-Wall', + + # Aggressive optimization: + '-O3', + ], + + # C specific compiler flags: + 'cflags_c': [ + # Specify the C standard to which a program is expected to conform: + '-std=c99', + ], + + # C++ specific compiler flags: + 'cflags_cpp': [ + # Specify the C++ standard to which a program is expected to conform: + '-std=c++11', + ], + + # Linker flags: + 'ldflags': [], + + # Apply conditions based on the host OS: + 'conditions': [ + [ + 'OS=="mac"', + { + # Linker flags: + 'ldflags': [ + '-undefined dynamic_lookup', + '-Wl,-no-pie', + '-Wl,-search_paths_first', + ], + }, + ], # end condition (OS=="mac") + [ + 'OS!="win"', + { + # C/C++ flags: + 'cflags': [ + # Generate platform-independent code: + '-fPIC', + ], + }, + ], # end condition (OS!="win") + ], # end conditions + }, # end target <(addon_target_name) + + # Target to copy a generated add-on to a standard location: + { + 'target_name': 'copy_addon', + + # Declare that the output of this target is not linked: + 'type': 'none', + + # Define dependencies: + 'dependencies': [ + # Require that the add-on be generated before building this target: + '<(addon_target_name)', + ], + + # Define a list of actions: + 'actions': [ + { + 'action_name': 'copy_addon', + 'message': 'Copying addon...', + + # Explicitly list the inputs in the command-line invocation below: + 'inputs': [], + + # Declare the expected outputs: + 'outputs': [ + '<(addon_output_dir)/<(addon_target_name).node', + ], + + # Define the command-line invocation: + 'action': [ + 'cp', + '<(PRODUCT_DIR)/<(addon_target_name).node', + '<(addon_output_dir)/<(addon_target_name).node', + ], + }, + ], # end actions + }, # end target copy_addon + ], # end targets +} diff --git a/lib/node_modules/@stdlib/math/base/special/erfcxf/docs/img/equation_scaled_complementary_error_function.svg b/lib/node_modules/@stdlib/math/base/special/erfcxf/docs/img/equation_scaled_complementary_error_function.svg new file mode 100644 index 000000000000..f1e1ba69b6c7 --- /dev/null +++ b/lib/node_modules/@stdlib/math/base/special/erfcxf/docs/img/equation_scaled_complementary_error_function.svg @@ -0,0 +1,43 @@ + +e r f c x left-parenthesis x right-parenthesis equals e Superscript x squared Baseline e r f c left-parenthesis x right-parenthesis + + + \ No newline at end of file diff --git a/lib/node_modules/@stdlib/math/base/special/erfcxf/docs/img/equation_scaled_complementary_error_function_approximation_large_x.svg b/lib/node_modules/@stdlib/math/base/special/erfcxf/docs/img/equation_scaled_complementary_error_function_approximation_large_x.svg new file mode 100644 index 000000000000..9894307e27dd --- /dev/null +++ b/lib/node_modules/@stdlib/math/base/special/erfcxf/docs/img/equation_scaled_complementary_error_function_approximation_large_x.svg @@ -0,0 +1,35 @@ + +left-parenthesis StartFraction 1 Over StartRoot pi EndRoot EndFraction right-parenthesis StartFraction 1 Over x EndFraction + + + \ No newline at end of file diff --git a/lib/node_modules/@stdlib/math/base/special/erfcxf/docs/repl.txt b/lib/node_modules/@stdlib/math/base/special/erfcxf/docs/repl.txt new file mode 100644 index 000000000000..3db66009d2ec --- /dev/null +++ b/lib/node_modules/@stdlib/math/base/special/erfcxf/docs/repl.txt @@ -0,0 +1,28 @@ +{{alias}}( x ) + Evaluates the scaled complementary error function (single-precision). + + If provided `NaN`, the function returns `NaN`. + + Parameters + ---------- + x: number + Input value. + + Returns + ------- + y: number + Function value. + + Examples + -------- + > var y = {{alias}}( 1.0 ) + ~0.4276 + > y = {{alias}}( -1.0 ) + ~5.01 + > y = {{alias}}( 0.0 ) + 1.0 + > y = {{alias}}( NaN ) + NaN + + See Also + -------- diff --git a/lib/node_modules/@stdlib/math/base/special/erfcxf/docs/types/index.d.ts b/lib/node_modules/@stdlib/math/base/special/erfcxf/docs/types/index.d.ts new file mode 100644 index 000000000000..20a8d27db2c1 --- /dev/null +++ b/lib/node_modules/@stdlib/math/base/special/erfcxf/docs/types/index.d.ts @@ -0,0 +1,56 @@ +/* +* @license Apache-2.0 +* +* Copyright (c) 2022 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. +*/ + +// TypeScript Version: 4.1 + +/** +* Evaluates the scaled complementary error function (single-precision). +* +* @param x - input value +* @returns function value +* +* @example +* var y = erfcxf( 0.0 ); +* // returns 1.0 +* +* @example +* var y = erfcxf( 1.0 ); +* // returns ~0.4276 +* +* @example +* var y = erfcxf( -1.0 ); +* // returns ~5.01 +* +* @example +* var y = erfcxf( 50.0 ); +* // returns ~0.011 +* +* @example +* var y = erfcxf( -50.0 ); +* // returns +Infinity +* +* @example +* var y = erfcxf( NaN ); +* // returns NaN +*/ +declare function erfcxf( x: number ): number; + + +// EXPORTS // + +export = erfcxf; diff --git a/lib/node_modules/@stdlib/math/base/special/erfcxf/docs/types/test.ts b/lib/node_modules/@stdlib/math/base/special/erfcxf/docs/types/test.ts new file mode 100644 index 000000000000..5707df521cec --- /dev/null +++ b/lib/node_modules/@stdlib/math/base/special/erfcxf/docs/types/test.ts @@ -0,0 +1,44 @@ +/* +* @license Apache-2.0 +* +* Copyright (c) 2022 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. +*/ + +import erfcxf = require( './index' ); + + +// TESTS // + +// The function returns a number... +{ + erfcxf( 8 ); // $ExpectType number +} + +// The compiler throws an error if the function is provided a value other than a number... +{ + erfcxf( true ); // $ExpectError + erfcxf( false ); // $ExpectError + erfcxf( null ); // $ExpectError + erfcxf( undefined ); // $ExpectError + erfcxf( '5' ); // $ExpectError + erfcxf( [] ); // $ExpectError + erfcxf( {} ); // $ExpectError + erfcxf( ( x: number ): number => x ); // $ExpectError +} + +// The compiler throws an error if the function is provided insufficient arguments... +{ + erfcxf(); // $ExpectError +} diff --git a/lib/node_modules/@stdlib/math/base/special/erfcxf/examples/c/Makefile b/lib/node_modules/@stdlib/math/base/special/erfcxf/examples/c/Makefile new file mode 100644 index 000000000000..6aed70daf167 --- /dev/null +++ b/lib/node_modules/@stdlib/math/base/special/erfcxf/examples/c/Makefile @@ -0,0 +1,146 @@ +#/ +# @license Apache-2.0 +# +# Copyright (c) 2024 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. +#/ + +# VARIABLES # + +ifndef VERBOSE + QUIET := @ +else + QUIET := +endif + +# Determine the OS ([1][1], [2][2]). +# +# [1]: https://en.wikipedia.org/wiki/Uname#Examples +# [2]: http://stackoverflow.com/a/27776822/2225624 +OS ?= $(shell uname) +ifneq (, $(findstring MINGW,$(OS))) + OS := WINNT +else +ifneq (, $(findstring MSYS,$(OS))) + OS := WINNT +else +ifneq (, $(findstring CYGWIN,$(OS))) + OS := WINNT +else +ifneq (, $(findstring Windows_NT,$(OS))) + OS := WINNT +endif +endif +endif +endif + +# Define the program used for compiling C source files: +ifdef C_COMPILER + CC := $(C_COMPILER) +else + CC := gcc +endif + +# Define the command-line options when compiling C files: +CFLAGS ?= \ + -std=c99 \ + -O3 \ + -Wall \ + -pedantic + +# Determine whether to generate position independent code ([1][1], [2][2]). +# +# [1]: https://gcc.gnu.org/onlinedocs/gcc/Code-Gen-Options.html#Code-Gen-Options +# [2]: http://stackoverflow.com/questions/5311515/gcc-fpic-option +ifeq ($(OS), WINNT) + fPIC ?= +else + fPIC ?= -fPIC +endif + +# List of includes (e.g., `-I /foo/bar -I /beep/boop/include`): +INCLUDE ?= + +# List of source files: +SOURCE_FILES ?= + +# List of libraries (e.g., `-lopenblas -lpthread`): +LIBRARIES ?= + +# List of library paths (e.g., `-L /foo/bar -L /beep/boop`): +LIBPATH ?= + +# List of C targets: +c_targets := example.out + + +# RULES # + +#/ +# Compiles source files. +# +# @param {string} [C_COMPILER] - C compiler (e.g., `gcc`) +# @param {string} [CFLAGS] - C compiler options +# @param {(string|void)} [fPIC] - compiler flag determining whether to generate position independent code (e.g., `-fPIC`) +# @param {string} [INCLUDE] - list of includes (e.g., `-I /foo/bar -I /beep/boop/include`) +# @param {string} [SOURCE_FILES] - list of source files +# @param {string} [LIBPATH] - list of library paths (e.g., `-L /foo/bar -L /beep/boop`) +# @param {string} [LIBRARIES] - list of libraries (e.g., `-lopenblas -lpthread`) +# +# @example +# make +# +# @example +# make all +#/ +all: $(c_targets) + +.PHONY: all + +#/ +# Compiles C source files. +# +# @private +# @param {string} CC - C compiler (e.g., `gcc`) +# @param {string} CFLAGS - C compiler options +# @param {(string|void)} fPIC - compiler flag determining whether to generate position independent code (e.g., `-fPIC`) +# @param {string} INCLUDE - list of includes (e.g., `-I /foo/bar`) +# @param {string} SOURCE_FILES - list of source files +# @param {string} LIBPATH - list of library paths (e.g., `-L /foo/bar`) +# @param {string} LIBRARIES - list of libraries (e.g., `-lopenblas`) +#/ +$(c_targets): %.out: %.c + $(QUIET) $(CC) $(CFLAGS) $(fPIC) $(INCLUDE) -o $@ $(SOURCE_FILES) $< $(LIBPATH) -lm $(LIBRARIES) + +#/ +# Runs compiled examples. +# +# @example +# make run +#/ +run: $(c_targets) + $(QUIET) ./$< + +.PHONY: run + +#/ +# Removes generated files. +# +# @example +# make clean +#/ +clean: + $(QUIET) -rm -f *.o *.out + +.PHONY: clean diff --git a/lib/node_modules/@stdlib/math/base/special/erfcxf/examples/c/example.c b/lib/node_modules/@stdlib/math/base/special/erfcxf/examples/c/example.c new file mode 100644 index 000000000000..cb847192a72f --- /dev/null +++ b/lib/node_modules/@stdlib/math/base/special/erfcxf/examples/c/example.c @@ -0,0 +1,31 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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/math/base/special/erfcxf.h" +#include + +int main( void ) { + const float x[] = { 0.0f, 0.22f, 0.44f, 0.67f, 0.89f, 1.11f, 1.33f, 1.56f, 1.78f, 2.0f }; + + float v; + int i; + for ( i = 0; i < 10; i++ ) { + v = stdlib_base_erfcxf( x[ i ] ); + printf( "x: %f, erfcxf(x): %f\n", x[ i ], v ); + } +} diff --git a/lib/node_modules/@stdlib/math/base/special/erfcxf/examples/index.js b/lib/node_modules/@stdlib/math/base/special/erfcxf/examples/index.js new file mode 100644 index 000000000000..11feda30a539 --- /dev/null +++ b/lib/node_modules/@stdlib/math/base/special/erfcxf/examples/index.js @@ -0,0 +1,30 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2022 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. +*/ + +'use strict'; + +var uniform = require( '@stdlib/random/array/uniform' ); +var logEachMap = require( '@stdlib/console/log-each-map' ); +var erfcxf = require( './../lib' ); + +var opts = { + 'dtype': 'float32' +}; +var x = uniform( 100, -30.0, 30.0, opts ); + +logEachMap( 'x: %0.4f, erfcxf(x): %0.4f', x, erfcxf ); diff --git a/lib/node_modules/@stdlib/math/base/special/erfcxf/include.gypi b/lib/node_modules/@stdlib/math/base/special/erfcxf/include.gypi new file mode 100644 index 000000000000..575cb043c0bf --- /dev/null +++ b/lib/node_modules/@stdlib/math/base/special/erfcxf/include.gypi @@ -0,0 +1,53 @@ +# @license Apache-2.0 +# +# Copyright (c) 2024 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. + +# A GYP include file for building a Node.js native add-on. +# +# Main documentation: +# +# [1]: https://gyp.gsrc.io/docs/InputFormatReference.md +# [2]: https://gyp.gsrc.io/docs/UserDocumentation.md +{ + # Define variables to be used throughout the configuration for all targets: + 'variables': { + # Source directory: + 'src_dir': './src', + + # Include directories: + 'include_dirs': [ + '= 0`, compute `erfc(x)`. +* +* ## Notes +* +* - Uses a look-up table of 100 different Chebyshev polynomials or y intervals \[0,0.01\], \[0.01,0.02\], ..., \[0.99,1\], generated with the help of Maple and a little shell script. +* - This allows the Chebyshev polynomials to be of significantly lower degree (about 1/4) compared to fitting the whole \[0,1\] interval with a single polynomial. +* +* @private +* @param {number} y100 - scaled argument +* @returns {number} complementary error function +*/ +function erfcxY100( y100 ) { + var t = floorf( y100 ); + var f = table[ t ]; + return f( 2*y100 - ((2*t) + 1) ); +} + + +// EXPORTS // + +module.exports = erfcxY100; diff --git a/lib/node_modules/@stdlib/math/base/special/erfcxf/lib/index.js b/lib/node_modules/@stdlib/math/base/special/erfcxf/lib/index.js new file mode 100644 index 000000000000..98a78aeb349c --- /dev/null +++ b/lib/node_modules/@stdlib/math/base/special/erfcxf/lib/index.js @@ -0,0 +1,46 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2022 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. +*/ + +'use strict'; + +/** +* Evaluate the scaled complementary error function (single-precision). +* +* @module @stdlib/math/base/special/erfcxf +* +* @example +* var erfcxf = require( '@stdlib/math/base/special/erfcxf' ); +* +* var y = erfcxf( 0.0 ); +* // returns 1.0 +* +* y = erfcxf( 50.0 ); +* // returns ~0.011 +* +* y = erfcxf( -50.0 ); +* // returns +Infinity +*/ + +// MODULES // + +var main = require( './main.js' ); + + +// EXPORTS // + +module.exports = main; diff --git a/lib/node_modules/@stdlib/math/base/special/erfcxf/lib/main.js b/lib/node_modules/@stdlib/math/base/special/erfcxf/lib/main.js new file mode 100644 index 000000000000..f13a632a3860 --- /dev/null +++ b/lib/node_modules/@stdlib/math/base/special/erfcxf/lib/main.js @@ -0,0 +1,159 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2022 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. +* +* ## Implementation Notes +* +* The function currently uses the double-precision exponential function `exp` due to the +* single-precision `expf` function not yet being merged into the main stdlib repository. +* This may result in slightly higher precision than pure single-precision computation. +* Once `expf` becomes available, this implementation should be updated to use it. +* +* ## Notice +* +* The following copyright, license, and long comment were part of the original implementation available as part of [SciPy]{@link https://github.com/scipy/scipy/blob/ed14bf0a66440a4d164581499fda662121963a56/scipy/special/Faddeeva.cc}. The implementation follows the original, but has been modified for JavaScript. +* +* ```text +* Copyright (c) 2012 Massachusetts Institute of Technology +* +* Permission is hereby granted, free of charge, to any person obtaining +* a copy of this software and associated documentation files (the +* "Software"), to deal in the Software without restriction, including +* without limitation the rights to use, copy, modify, merge, publish, +* distribute, sublicense, and/or sell copies of the Software, and to +* permit persons to whom the Software is furnished to do so, subject to +* the following conditions: +* +* The above copyright notice and this permission notice shall be +* included in all copies or substantial portions of the Software. +* +* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +* NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +* LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +* OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +* WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +* ``` +*/ + +'use strict'; + +// MODULES // + +var exp = require( '@stdlib/math/base/special/exp' ); +var PINF = require( '@stdlib/constants/float32/pinf' ); +var isnanf = require( '@stdlib/math/base/assert/is-nanf' ); +var Float32Array = require( '@stdlib/array/float32' ); +var erfcxfY100 = require( './erfcxf_y100.js' ); + + +// VARIABLES // + +var INV_SQRT_PI = 0.56418958; // 1 / sqrt(pi) - float32 precision + + +// MAIN // + +/** +* Float32 exponential function that matches scipy's erfcx behavior with float32 inputs. +* +* @private +* @param {number} x - input value +* @returns {number} float32 result +*/ +function expf( x ) { + // SciPy's erfcx with float32 inputs still computes in double precision internally + // But converts the final result to float32. We should match this behavior. + var result = exp( x ); + var f32 = new Float32Array( [ result ] ); // Convert result to float32 + return f32[ 0 ]; +} + +/** +* Evaluates the scaled complementary error function (single-precision). +* +* ```tex +* \operatorname{erfcx}(x) = \exp{x^2} \cdot \operatorname{erfc}(x) +* ``` +* +* ## Notes +* +* - This is a **single-precision (float32)** version of the scaled complementary error function. For double-precision computations, use `@stdlib/math/base/special/erfcx`. +* - Use this function to replace expressions containing `exp{x^2} erfc(x)` in order to avoid errors due to underflow or overflow. +* - For expressions of the form `\exp{-x^2} erfcx(x)`, use the complementary error function `erfc(x)` instead, as this substitution maintains accuracy by avoiding roundoff errors for large values of `x`. +* - Input and output values are computed and returned with single-precision floating-point accuracy. +* +* @param {number} x - input value (treated as single-precision) +* @returns {number} evaluated scaled complementary error function (single-precision) +* +* @example +* var y = erfcxf( 0.0 ); +* // returns 1.0 +* +* @example +* var y = erfcxf( 1.0 ); +* // returns ~0.4276 +* +* @example +* var y = erfcxf( -1.0 ); +* // returns ~5.01 +* +* @example +* var y = erfcxf( 50.0 ); +* // returns ~0.011 +* +* @example +* var y = erfcxf( -50.0 ); +* // returns +Infinity +* +* @example +* var y = erfcxf( NaN ); +* // returns NaN +*/ +function erfcxf( x ) { + var x2; + + if ( isnanf( x ) ) { + return x; + } + if ( x >= 0.0 ) { + if ( x > 50.0 ) { // continued-fraction expansion is faster + if ( x > 5.0e7 ) { // 1-term expansion, important to avoid overflow + return INV_SQRT_PI / x; + } + x2 = x * x; + + // 5-term expansion (rely on compiler for CSE), simplified from: INV_SQRT_PI / (x+0.5/(x+1/(x+1.5/(x+2/x)))) + return INV_SQRT_PI * ( ( x2 * (x2+4.5) ) + 2.0 ) / ( x * ( ( x2*(x2+5.0) ) + 3.75 ) ); // eslint-disable-line max-len + } + return erfcxfY100( 400.0/(4.0+x) ); + } + // Use original thresholds - scipy's erfcx with float32 inputs still uses double precision internally + if ( x < -26.7 ) { + return PINF; + } + x2 = x * x; + if ( x < -6.1 ) { + return 2.0 * expf( x2 ); + } + return ( 2.0*expf( x2 ) ) - erfcxfY100( 400.0/(4.0-x) ); +} + + +// EXPORTS // + +module.exports = erfcxf; diff --git a/lib/node_modules/@stdlib/math/base/special/erfcxf/lib/native.js b/lib/node_modules/@stdlib/math/base/special/erfcxf/lib/native.js new file mode 100644 index 000000000000..06b32158b7cc --- /dev/null +++ b/lib/node_modules/@stdlib/math/base/special/erfcxf/lib/native.js @@ -0,0 +1,42 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2022 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. +*/ + +'use strict'; + +// MODULES // + +var addon = require( './../src/addon.node' ); + + +// MAIN // + +/** +* Evaluates the scaled complementary error function (single-precision). +* +* @private +* @param {number} x - input value +* @returns {number} evaluated scaled complementary error function +*/ +function erfcxf( x ) { + return addon( x ); +} + + +// EXPORTS // + +module.exports = erfcxf; diff --git a/lib/node_modules/@stdlib/math/base/special/erfcxf/manifest.json b/lib/node_modules/@stdlib/math/base/special/erfcxf/manifest.json new file mode 100644 index 000000000000..45b954319765 --- /dev/null +++ b/lib/node_modules/@stdlib/math/base/special/erfcxf/manifest.json @@ -0,0 +1,84 @@ +{ + "options": { + "task": "build" + }, + "fields": [ + { + "field": "src", + "resolve": true, + "relative": true + }, + { + "field": "include", + "resolve": true, + "relative": true + }, + { + "field": "libraries", + "resolve": false, + "relative": false + }, + { + "field": "libpath", + "resolve": true, + "relative": false + } + ], + "confs": [ + { + "task": "build", + "src": [ + "./src/main.c" + ], + "include": [ + "./include" + ], + "libraries": [], + "libpath": [], + "dependencies": [ + "@stdlib/math/base/napi/unary", + "@stdlib/math/base/assert/is-nanf", + "@stdlib/math/base/special/floorf", + "@stdlib/constants/float32/pinf", + "@stdlib/constants/float32/ninf", + "@stdlib/math/base/special/exp" + ] + }, + { + "task": "benchmark", + "src": [ + "./src/main.c" + ], + "include": [ + "./include" + ], + "libraries": [], + "libpath": [], + "dependencies": [ + "@stdlib/math/base/assert/is-nanf", + "@stdlib/math/base/special/floorf", + "@stdlib/constants/float32/pinf", + "@stdlib/constants/float32/ninf", + "@stdlib/math/base/special/exp" + ] + }, + { + "task": "examples", + "src": [ + "./src/main.c" + ], + "include": [ + "./include" + ], + "libraries": [], + "libpath": [], + "dependencies": [ + "@stdlib/math/base/assert/is-nanf", + "@stdlib/math/base/special/floorf", + "@stdlib/constants/float32/pinf", + "@stdlib/constants/float32/ninf", + "@stdlib/math/base/special/exp" + ] + } + ] +} diff --git a/lib/node_modules/@stdlib/math/base/special/erfcxf/package.json b/lib/node_modules/@stdlib/math/base/special/erfcxf/package.json new file mode 100644 index 000000000000..d8aa938a504d --- /dev/null +++ b/lib/node_modules/@stdlib/math/base/special/erfcxf/package.json @@ -0,0 +1,134 @@ +{ + "name": "@stdlib/math/base/special/erfcxf", + "version": "0.0.0", + "description": "Scaled complementary error function (single-precision).", + "license": "Apache-2.0", + "author": { + "name": "The Stdlib Authors", + "url": "https://github.com/stdlib-js/stdlib/graphs/contributors" + }, + "contributors": [ + { + "name": "The Stdlib Authors", + "url": "https://github.com/stdlib-js/stdlib/graphs/contributors" + } + ], + "main": "./lib", + "gypfile": true, + "directories": { + "benchmark": "./benchmark", + "doc": "./docs", + "example": "./examples", + "include": "./include", + "lib": "./lib", + "src": "./src", + "test": "./test" + }, + "types": "./docs/types", + "scripts": {}, + "homepage": "https://github.com/stdlib-js/stdlib", + "repository": { + "type": "git", + "url": "git://github.com/stdlib-js/stdlib.git" + }, + "bugs": { + "url": "https://github.com/stdlib-js/stdlib/issues" + }, + "dependencies": {}, + "devDependencies": {}, + "engines": { + "node": ">=0.10.0", + "npm": ">2.7.0" + }, + "os": [ + "aix", + "darwin", + "freebsd", + "linux", + "macos", + "openbsd", + "sunos", + "win32", + "windows" + ], + "keywords": [ + "stdlib", + "stdmath", + "mathematics", + "math", + "special function", + "error function", + "scaled", + "complementary", + "erfcx", + "scalar", + "number", + "single-precision", + "float32" + ], + "__stdlib__": { + "scaffold": { + "$schema": "math/base@v1.0", + "base_alias": "erfcxf", + "alias": "erfcxf", + "pkg_desc": "evaluate the scaled complementary error function for a single-precision floating-point number", + "desc": "evaluates the scaled complementary error function for a single-precision floating-point number", + "short_desc": "scaled complementary error function (single-precision)", + "parameters": [ + { + "name": "x", + "desc": "input value", + "type": { + "javascript": "number", + "jsdoc": "number", + "c": "float", + "dtype": "float32" + }, + "domain": [ + { + "min": "-Infinity", + "max": "Infinity" + } + ], + "rand": { + "prng": "random/base/uniform", + "parameters": [ + -100.0, + 100.0 + ] + }, + "example_values": [ + -50.0, + -10.0, + -1.0, + 0.0, + 1.0, + 10.0, + 50.0 + ] + } + ], + "output_policy": "real_floating_point_and_generic", + "returns": { + "desc": "function value", + "type": { + "javascript": "number", + "jsdoc": "number", + "c": "float", + "dtype": "float32" + } + }, + "keywords": [ + "error function", + "scaled", + "complementary", + "erfcx", + "scalar", + "number", + "single-precision", + "float32" + ], + "extra_keywords": [] + } + } +} diff --git a/lib/node_modules/@stdlib/math/base/special/erfcxf/src/Makefile b/lib/node_modules/@stdlib/math/base/special/erfcxf/src/Makefile new file mode 100644 index 000000000000..f30ea003e955 --- /dev/null +++ b/lib/node_modules/@stdlib/math/base/special/erfcxf/src/Makefile @@ -0,0 +1,71 @@ +#/ +# @license Apache-2.0 +# +# Copyright (c) 2024 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. +#/ + +# VARIABLES # + +ifndef VERBOSE + QUIET := @ +else + QUIET := +endif + +# Determine the OS ([1][1], [2][2]). +# +# [1]: https://en.wikipedia.org/wiki/Uname#Examples +# [2]: http://stackoverflow.com/a/27776822/2225624 +OS ?= $(shell uname) +ifneq (, $(findstring MINGW,$(OS))) + OS := WINNT +else +ifneq (, $(findstring MSYS,$(OS))) + OS := WINNT +else +ifneq (, $(findstring CYGWIN,$(OS))) + OS := WINNT +else +ifneq (, $(findstring Windows_NT,$(OS))) + OS := WINNT +endif +endif +endif +endif + + +# RULES # + +#/ +# Removes generated files for building an add-on. +# +# @example +# make clean-addon +#/ +clean-addon: + $(QUIET) -rm -f *.o *.node + +.PHONY: clean-addon + +#/ +# Removes generated files. +# +# @example +# make clean +#/ +clean: clean-addon + +.PHONY: clean + diff --git a/lib/node_modules/@stdlib/math/base/special/erfcxf/src/addon.c b/lib/node_modules/@stdlib/math/base/special/erfcxf/src/addon.c new file mode 100644 index 000000000000..319d191c52f9 --- /dev/null +++ b/lib/node_modules/@stdlib/math/base/special/erfcxf/src/addon.c @@ -0,0 +1,22 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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/math/base/special/erfcxf.h" +#include "stdlib/math/base/napi/unary.h" + +STDLIB_MATH_BASE_NAPI_MODULE_F_F( stdlib_base_erfcxf ); diff --git a/lib/node_modules/@stdlib/math/base/special/erfcxf/src/main.c b/lib/node_modules/@stdlib/math/base/special/erfcxf/src/main.c new file mode 100644 index 000000000000..19f424467e3b --- /dev/null +++ b/lib/node_modules/@stdlib/math/base/special/erfcxf/src/main.c @@ -0,0 +1,1172 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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. +* +* ## Notice +* +* The following copyright, license, and long comment were part of the original implementation available as part of [SciPy]{@link https://github.com/scipy/scipy/blob/ed14bf0a66440a4d164581499fda662121963a56/scipy/special/Faddeeva.cc}. The implementation follows the original, but has been modified for use in stdlib. +* +* ```text +* Copyright (c) 2012 Massachusetts Institute of Technology +* +* Permission is hereby granted, free of charge, to any person obtaining +* a copy of this software and associated documentation files (the +* "Software"), to deal in the Software without restriction, including +* without limitation the rights to use, copy, modify, merge, publish, +* distribute, sublicense, and/or sell copies of the Software, and to +* permit persons to whom the Software is furnished to do so, subject to +* the following conditions: +* +* The above copyright notice and this permission notice shall be +* included in all copies or substantial portions of the Software. +* +* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +* NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +* LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +* OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +* WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +* ``` +*/ + +#include "stdlib/math/base/special/erfcxf.h" +#include "stdlib/math/base/special/exp.h" +#include "stdlib/constants/float32/pinf.h" +#include "stdlib/constants/float32/ninf.h" +#include "stdlib/math/base/special/floor.h" +#include "stdlib/math/base/special/floorf.h" +#include "stdlib/math/base/assert/is_nanf.h" + +// Create expf wrapper since stdlib doesn't have one +static float expf_wrapper( float x ) { + double result = stdlib_base_exp( (double)x ); + // Convert to float32 exactly like JavaScript Float32Array + return (float)result; +} + +static float INV_SQRT_PI = 0.56418958f; // 1 / sqrt(pi) - float32 precision + +/** +* Chebyshev polynomial for \[0, 0.01). +* +* @param t scaled value +* @return result +*/ +static double p0( const double t ) { + return 0.70878032454106438663e-3 + (0.71234091047026302958e-3 + (0.35779077297597742384e-5 + (0.17403143962587937815e-7 + (0.81710660047307788845e-10 + (0.36885022360434957634e-12 + 0.15917038551111111111e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.01, 0.02). +* +* @param t scaled value +* @return result +*/ +static double p1( const double t ) { + return 0.21479143208285144230e-2 + (0.72686402367379996033e-3 + (0.36843175430938995552e-5 + (0.18071841272149201685e-7 + (0.85496449296040325555e-10 + (0.38852037518534291510e-12 + 0.16868473576888888889e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.02, 0.03). +* +* @param t scaled value +* @return result +*/ +static double p2( const double t ) { + return 0.36165255935630175090e-2 + (0.74182092323555510862e-3 + (0.37948319957528242260e-5 + (0.18771627021793087350e-7 + (0.89484715122415089123e-10 + (0.40935858517772440862e-12 + 0.17872061464888888889e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.03, 0.04). +* +* @param t scaled value +* @return result +*/ +static double p3( const double t ) { + return 0.51154983860031979264e-2 + (0.75722840734791660540e-3 + (0.39096425726735703941e-5 + (0.19504168704300468210e-7 + (0.93687503063178993915e-10 + (0.43143925959079664747e-12 + 0.18939926435555555556e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.04, 0.05). +* +* @param t scaled value +* @return result +*/ +static double p4( const double t ) { + return 0.66457513172673049824e-2 + (0.77310406054447454920e-3 + (0.40289510589399439385e-5 + (0.20271233238288381092e-7 + (0.98117631321709100264e-10 + (0.45484207406017752971e-12 + 0.20076352213333333333e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.05, 0.06). +* +* @param t scaled value +* @return result +*/ +static double p5( const double t ) { + return 0.82082389970241207883e-2 + (0.78946629611881710721e-3 + (0.41529701552622656574e-5 + (0.21074693344544655714e-7 + (0.10278874108587317989e-9 + (0.47965201390613339638e-12 + 0.21285907413333333333e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.06, 0.07). +* +* @param t scaled value +* @return result +*/ +static double p6( const double t ) { + return 0.98039537275352193165e-2 + (0.80633440108342840956e-3 + (0.42819241329736982942e-5 + (0.21916534346907168612e-7 + (0.10771535136565470914e-9 + (0.50595972623692822410e-12 + 0.22573462684444444444e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.07, 0.08). +* +* @param t scaled value +* @return result +*/ +static double p7( const double t ) { + return 0.11433927298290302370e-1 + (0.82372858383196561209e-3 + (0.44160495311765438816e-5 + (0.22798861426211986056e-7 + (0.11291291745879239736e-9 + (0.53386189365816880454e-12 + 0.23944209546666666667e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.08, 0.09). +* +* @param t scaled value +* @return result +*/ +static double p8( const double t ) { + return 0.13099232878814653979e-1 + (0.84167002467906968214e-3 + (0.45555958988457506002e-5 + (0.23723907357214175198e-7 + (0.11839789326602695603e-9 + (0.56346163067550237877e-12 + 0.25403679644444444444e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.09, 0.10). +* +* @param t scaled value +* @return result +*/ +static double p9( const double t ) { + return 0.14800987015587535621e-1 + (0.86018092946345943214e-3 + (0.47008265848816866105e-5 + (0.24694040760197315333e-7 + (0.12418779768752299093e-9 + (0.59486890370320261949e-12 + 0.26957764568888888889e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.10, 0.11). +* +* @param t scaled value +* @return result +*/ +static double p10( const double t ) { + return 0.16540351739394069380e-1 + (0.87928458641241463952e-3 + (0.48520195793001753903e-5 + (0.25711774900881709176e-7 + (0.13030128534230822419e-9 + (0.62820097586874779402e-12 + 0.28612737351111111111e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.11, 0.12). +* +* @param t scaled value +* @return result +*/ +static double p11( const double t ) { + return 0.18318536789842392647e-1 + (0.89900542647891721692e-3 + (0.50094684089553365810e-5 + (0.26779777074218070482e-7 + (0.13675822186304615566e-9 + (0.66358287745352705725e-12 + 0.30375273884444444444e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.12, 0.13). +* +* @param t scaled value +* @return result +*/ +static double p12( const double t ) { + return 0.20136801964214276775e-1 + (0.91936908737673676012e-3 + (0.51734830914104276820e-5 + (0.27900878609710432673e-7 + (0.14357976402809042257e-9 + (0.70114790311043728387e-12 + 0.32252476000000000000e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.13, 0.14). +* +* @param t scaled value +* @return result +*/ +static double p13( const double t ) { + return 0.21996459598282740954e-1 + (0.94040248155366777784e-3 + (0.53443911508041164739e-5 + (0.29078085538049374673e-7 + (0.15078844500329731137e-9 + (0.74103813647499204269e-12 + 0.34251892320000000000e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.14, 0.15). +* +* @param t scaled value +* @return result +*/ +static double p14( const double t ) { + return 0.23898877187226319502e-1 + (0.96213386835900177540e-3 + (0.55225386998049012752e-5 + (0.30314589961047687059e-7 + (0.15840826497296335264e-9 + (0.78340500472414454395e-12 + 0.36381553564444444445e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.15, 0.16). +* +* @param t scaled value +* @return result +*/ +static double p15( const double t ) { + return 0.25845480155298518485e-1 + (0.98459293067820123389e-3 + (0.57082915920051843672e-5 + (0.31613782169164830118e-7 + (0.16646478745529630813e-9 + (0.82840985928785407942e-12 + 0.38649975768888888890e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.16, 0.17). +* +* @param t scaled value +* @return result +*/ +static double p16( const double t ) { + return 0.27837754783474696598e-1 + (0.10078108563256892757e-2 + (0.59020366493792212221e-5 + (0.32979263553246520417e-7 + (0.17498524159268458073e-9 + (0.87622459124842525110e-12 + 0.41066206488888888890e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.17, 0.18). +* +* @param t scaled value +* @return result +*/ +static double p17( const double t ) { + return 0.29877251304899307550e-1 + (0.10318204245057349310e-2 + (0.61041829697162055093e-5 + (0.34414860359542720579e-7 + (0.18399863072934089607e-9 + (0.92703227366365046533e-12 + 0.43639844053333333334e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.18, 0.19). +* +* @param t scaled value +* @return result +*/ +static double p18( const double t ) { + return 0.31965587178596443475e-1 + (0.10566560976716574401e-2 + (0.63151633192414586770e-5 + (0.35924638339521924242e-7 + (0.19353584758781174038e-9 + (0.98102783859889264382e-12 + 0.46381060817777777779e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.19, 0.20). +* +* @param t scaled value +* @return result +*/ +static double p19( const double t ) { + return 0.34104450552588334840e-1 + (0.10823541191350532574e-2 + (0.65354356159553934436e-5 + (0.37512918348533521149e-7 + (0.20362979635817883229e-9 + (0.10384187833037282363e-11 + 0.49300625262222222221e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.20, 0.21). +* +* @param t scaled value +* @return result +*/ +static double p20( const double t ) { + return 0.36295603928292425716e-1 + (0.11089526167995268200e-2 + (0.67654845095518363577e-5 + (0.39184292949913591646e-7 + (0.21431552202133775150e-9 + (0.10994259106646731797e-11 + 0.52409949102222222221e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.21, 0.22). +* +* @param t scaled value +* @return result +*/ +static double p21( const double t ) { + return 0.38540888038840509795e-1 + (0.11364917134175420009e-2 + (0.70058230641246312003e-5 + (0.40943644083718586939e-7 + (0.22563034723692881631e-9 + (0.11642841011361992885e-11 + 0.55721092871111111110e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.22, 0.23). +* +* @param t scaled value +* @return result +*/ +static double p22( const double t ) { + return 0.40842225954785960651e-1 + (0.11650136437945673891e-2 + (0.72569945502343006619e-5 + (0.42796161861855042273e-7 + (0.23761401711005024162e-9 + (0.12332431172381557035e-11 + 0.59246802364444444445e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.23, 0.24). +* +* @param t scaled value +* @return result +*/ +static double p23( const double t ) { + return 0.43201627431540222422e-1 + (0.11945628793917272199e-2 + (0.75195743532849206263e-5 + (0.44747364553960993492e-7 + (0.25030885216472953674e-9 + (0.13065684400300476484e-11 + 0.63000532853333333334e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.24, 0.25). +* +* @param t scaled value +* @return result +*/ +static double p24( const double t ) { + return 0.45621193513810471438e-1 + (0.12251862608067529503e-2 + (0.77941720055551920319e-5 + (0.46803119830954460212e-7 + (0.26375990983978426273e-9 + (0.13845421370977119765e-11 + 0.66996477404444444445e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.25, 0.26). +* +* @param t scaled value +* @return result +*/ +static double p25( const double t ) { + return 0.48103121413299865517e-1 + (0.12569331386432195113e-2 + (0.80814333496367673980e-5 + (0.48969667335682018324e-7 + (0.27801515481905748484e-9 + (0.14674637611609884208e-11 + 0.71249589351111111110e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.26, 0.27). +* +* @param t scaled value +* @return result +*/ +static double p26( const double t ) { + return 0.50649709676983338501e-1 + (0.12898555233099055810e-2 + (0.83820428414568799654e-5 + (0.51253642652551838659e-7 + (0.29312563849675507232e-9 + (0.15556512782814827846e-11 + 0.75775607822222222221e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.27, 0.28). +* +* @param t scaled value +* @return result +*/ +static double p27( const double t ) { + return 0.53263363664388864181e-1 + (0.13240082443256975769e-2 + (0.86967260015007658418e-5 + (0.53662102750396795566e-7 + (0.30914568786634796807e-9 + (0.16494420240828493176e-11 + 0.80591079644444444445e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.28, 0.29). +* +* @param t scaled value +* @return result +*/ +static double p28( const double t ) { + return 0.55946601353500013794e-1 + (0.13594491197408190706e-2 + (0.90262520233016380987e-5 + (0.56202552975056695376e-7 + (0.32613310410503135996e-9 + (0.17491936862246367398e-11 + 0.85713381688888888890e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.29, 0.30). +* +* @param t scaled value +* @return result +*/ +static double p29( const double t ) { + return 0.58702059496154081813e-1 + (0.13962391363223647892e-2 + (0.93714365487312784270e-5 + (0.58882975670265286526e-7 + (0.34414937110591753387e-9 + (0.18552853109751857859e-11 + 0.91160736711111111110e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.30, 0.31). +* +* @param t scaled value +* @return result +*/ +static double p30( const double t ) { + return 0.61532500145144778048e-1 + (0.14344426411912015247e-2 + (0.97331446201016809696e-5 + (0.61711860507347175097e-7 + (0.36325987418295300221e-9 + (0.19681183310134518232e-11 + 0.96952238400000000000e-14 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.31, 0.32). +* +* @param t scaled value +* @return result +*/ +static double p31( const double t ) { + return 0.64440817576653297993e-1 + (0.14741275456383131151e-2 + (0.10112293819576437838e-4 + (0.64698236605933246196e-7 + (0.38353412915303665586e-9 + (0.20881176114385120186e-11 + 0.10310784480000000000e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.32, 0.33). +* +* @param t scaled value +* @return result +*/ +static double p32( const double t ) { + return 0.67430045633130393282e-1 + (0.15153655418916540370e-2 + (0.10509857606888328667e-4 + (0.67851706529363332855e-7 + (0.40504602194811140006e-9 + (0.22157325110542534469e-11 + 0.10964842115555555556e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.33, 0.34). +* +* @param t scaled value +* @return result +*/ +static double p33( const double t ) { + return 0.70503365513338850709e-1 + (0.15582323336495709827e-2 + (0.10926868866865231089e-4 + (0.71182482239613507542e-7 + (0.42787405890153386710e-9 + (0.23514379522274416437e-11 + 0.11659571751111111111e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.34, 0.35). +* +* @param t scaled value +* @return result +*/ +static double p34( const double t ) { + return 0.73664114037944596353e-1 + (0.16028078812438820413e-2 + (0.11364423678778207991e-4 + (0.74701423097423182009e-7 + (0.45210162777476488324e-9 + (0.24957355004088569134e-11 + 0.12397238257777777778e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.35, 0.36). +* +* @param t scaled value +* @return result +*/ +static double p35( const double t ) { + return 0.76915792420819562379e-1 + (0.16491766623447889354e-2 + (0.11823685320041302169e-4 + (0.78420075993781544386e-7 + (0.47781726956916478925e-9 + (0.26491544403815724749e-11 + 0.13180196462222222222e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.36, 0.37). +* +* @param t scaled value +* @return result +*/ +static double p36( const double t ) { + return 0.80262075578094612819e-1 + (0.16974279491709504117e-2 + (0.12305888517309891674e-4 + (0.82350717698979042290e-7 + (0.50511496109857113929e-9 + (0.28122528497626897696e-11 + 0.14010889635555555556e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.37, 0.38). +* +* @param t scaled value +* @return result +*/ +static double p37( const double t ) { + return 0.83706822008980357446e-1 + (0.17476561032212656962e-2 + (0.12812343958540763368e-4 + (0.86506399515036435592e-7 + (0.53409440823869467453e-9 + (0.29856186620887555043e-11 + 0.14891851591111111111e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.38, 0.39). +* +* @param t scaled value +* @return result +*/ +static double p38( const double t ) { + return 0.87254084284461718231e-1 + (0.17999608886001962327e-2 + (0.13344443080089492218e-4 + (0.90900994316429008631e-7 + (0.56486134972616465316e-9 + (0.31698707080033956934e-11 + 0.15825697795555555556e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.39, 0.40). +* +* @param t scaled value +* @return result +*/ +static double p39( const double t ) { + return 0.90908120182172748487e-1 + (0.18544478050657699758e-2 + (0.13903663143426120077e-4 + (0.95549246062549906177e-7 + (0.59752787125242054315e-9 + (0.33656597366099099413e-11 + 0.16815130613333333333e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.40, 0.41). +* +* @param t scaled value +* @return result +*/ +static double p40( const double t ) { + return 0.94673404508075481121e-1 + (0.19112284419887303347e-2 + (0.14491572616545004930e-4 + (0.10046682186333613697e-6 + (0.63221272959791000515e-9 + (0.35736693975589130818e-11 + 0.17862931591111111111e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.41, 0.42). +* +* @param t scaled value +* @return result +*/ +static double p41( const double t ) { + return 0.98554641648004456555e-1 + (0.19704208544725622126e-2 + (0.15109836875625443935e-4 + (0.10567036667675984067e-6 + (0.66904168640019354565e-9 + (0.37946171850824333014e-11 + 0.18971959040000000000e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.42, 0.43). +* +* @param t scaled value +* @return result +*/ +static double p42( const double t ) { + return 0.10255677889470089531e0 + (0.20321499629472857418e-2 + (0.15760224242962179564e-4 + (0.11117756071353507391e-6 + (0.70814785110097658502e-9 + (0.40292553276632563925e-11 + 0.20145143075555555556e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.43, 0.44). +* +* @param t scaled value +* @return result +*/ +static double p43( const double t ) { + return 0.10668502059865093318e0 + (0.20965479776148731610e-2 + (0.16444612377624983565e-4 + (0.11700717962026152749e-6 + (0.74967203250938418991e-9 + (0.42783716186085922176e-11 + 0.21385479360000000000e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.44, 0.45). +* +* @param t scaled value +* @return result +*/ +static double p44( const double t ) { + return 0.11094484319386444474e0 + (0.21637548491908170841e-2 + (0.17164995035719657111e-4 + (0.12317915750735938089e-6 + (0.79376309831499633734e-9 + (0.45427901763106353914e-11 + 0.22696025653333333333e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.45, 0.46). +* +* @param t scaled value +* @return result +*/ +static double p45( const double t ) { + return 0.11534201115268804714e0 + (0.22339187474546420375e-2 + (0.17923489217504226813e-4 + (0.12971465288245997681e-6 + (0.84057834180389073587e-9 + (0.48233721206418027227e-11 + 0.24079890062222222222e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.46, 0.47). +* +* @param t scaled value +* @return result +*/ +static double p46( const double t ) { + return 0.11988259392684094740e0 + (0.23071965691918689601e-2 + (0.18722342718958935446e-4 + (0.13663611754337957520e-6 + (0.89028385488493287005e-9 + (0.51210161569225846701e-11 + 0.25540227111111111111e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.47, 0.48). +* +* @param t scaled value +* @return result +*/ +static double p47( const double t ) { + return 0.12457298393509812907e0 + (0.23837544771809575380e-2 + (0.19563942105711612475e-4 + (0.14396736847739470782e-6 + (0.94305490646459247016e-9 + (0.54366590583134218096e-11 + 0.27080225920000000000e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.48, 0.49). +* +* @param t scaled value +* @return result +*/ +static double p48( const double t ) { + return 0.12941991566142438816e0 + (0.24637684719508859484e-2 + (0.20450821127475879816e-4 + (0.15173366280523906622e-6 + (0.99907632506389027739e-9 + (0.57712760311351625221e-11 + 0.28703099555555555556e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.49, 0.50). +* +* @param t scaled value +* @return result +*/ +static double p49( const double t ) { + return 0.13443048593088696613e0 + (0.25474249981080823877e-2 + (0.21385669591362915223e-4 + (0.15996177579900443030e-6 + (0.10585428844575134013e-8 + (0.61258809536787882989e-11 + 0.30412080142222222222e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.50, 0.51). +* +* @param t scaled value +* @return result +*/ +static double p50( const double t ) { + return 0.13961217543434561353e0 + (0.26349215871051761416e-2 + (0.22371342712572567744e-4 + (0.16868008199296822247e-6 + (0.11216596910444996246e-8 + (0.65015264753090890662e-11 + 0.32210394506666666666e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.51, 0.52). +* +* @param t scaled value +* @return result +*/ +static double p51( const double t ) { + return 0.14497287157673800690e0 + (0.27264675383982439814e-2 + (0.23410870961050950197e-4 + (0.17791863939526376477e-6 + (0.11886425714330958106e-8 + (0.68993039665054288034e-11 + 0.34101266222222222221e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.52, 0.53). +* +* @param t scaled value +* @return result +*/ +static double p52( const double t ) { + return 0.15052089272774618151e0 + (0.28222846410136238008e-2 + (0.24507470422713397006e-4 + (0.18770927679626136909e-6 + (0.12597184587583370712e-8 + (0.73203433049229821618e-11 + 0.36087889048888888890e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.53, 0.54). +* +* @param t scaled value +* @return result +*/ +static double p53( const double t ) { + return 0.15626501395774612325e0 + (0.29226079376196624949e-2 + (0.25664553693768450545e-4 + (0.19808568415654461964e-6 + (0.13351257759815557897e-8 + (0.77658124891046760667e-11 + 0.38173420035555555555e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.54, 0.55). +* +* @param t scaled value +* @return result +*/ +static double p54( const double t ) { + return 0.16221449434620737567e0 + (0.30276865332726475672e-2 + (0.26885741326534564336e-4 + (0.20908350604346384143e-6 + (0.14151148144240728728e-8 + (0.82369170665974313027e-11 + 0.40360957457777777779e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.55, 0.56). +* +* @param t scaled value +* @return result +*/ +static double p55( const double t ) { + return 0.16837910595412130659e0 + (0.31377844510793082301e-2 + (0.28174873844911175026e-4 + (0.22074043807045782387e-6 + (0.14999481055996090039e-8 + (0.87348993661930809254e-11 + 0.42653528977777777779e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.56, 0.57). +* +* @param t scaled value +* @return result +*/ +static double p56( const double t ) { + return 0.17476916455659369953e0 + (0.32531815370903068316e-2 + (0.29536024347344364074e-4 + (0.23309632627767074202e-6 + (0.15899007843582444846e-8 + (0.92610375235427359475e-11 + 0.45054073102222222221e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.57, 0.58). +* +* @param t scaled value +* @return result +*/ +static double p57( const double t ) { + return 0.18139556223643701364e0 + (0.33741744168096996041e-2 + (0.30973511714709500836e-4 + (0.24619326937592290996e-6 + (0.16852609412267750744e-8 + (0.98166442942854895573e-11 + 0.47565418097777777779e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.58, 0.59). +* +* @param t scaled value +* @return result +*/ +static double p58( const double t ) { + return 0.18826980194443664549e0 + (0.35010775057740317997e-2 + (0.32491914440014267480e-4 + (0.26007572375886319028e-6 + (0.17863299617388376116e-8 + (0.10403065638343878679e-10 + 0.50190265831111111110e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.59, 0.60). +* +* @param t scaled value +* @return result +*/ +static double p59( const double t ) { + return 0.19540403413693967350e0 + (0.36342240767211326315e-2 + (0.34096085096200907289e-4 + (0.27479061117017637474e-6 + (0.18934228504790032826e-8 + (0.11021679075323598664e-10 + 0.52931171733333333334e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.60, 0.61). +* +* @param t scaled value +* @return result +*/ +static double p60( const double t ) { + return 0.20281109560651886959e0 + (0.37739673859323597060e-2 + (0.35791165457592409054e-4 + (0.29038742889416172404e-6 + (0.20068685374849001770e-8 + (0.11673891799578381999e-10 + 0.55790523093333333334e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.61, 0.62). +* +* @param t scaled value +* @return result +*/ +static double p61( const double t ) { + return 0.21050455062669334978e0 + (0.39206818613925652425e-2 + (0.37582602289680101704e-4 + (0.30691836231886877385e-6 + (0.21270101645763677824e-8 + (0.12361138551062899455e-10 + 0.58770520160000000000e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.62, 0.63). +* +* @param t scaled value +* @return result +*/ +static double p62( const double t ) { + return 0.21849873453703332479e0 + (0.40747643554689586041e-2 + (0.39476163820986711501e-4 + (0.32443839970139918836e-6 + (0.22542053491518680200e-8 + (0.13084879235290858490e-10 + 0.61873153262222222221e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.63, 0.64). +* +* @param t scaled value +* @return result +*/ +static double p63( const double t ) { + return 0.22680879990043229327e0 + (0.42366354648628516935e-2 + (0.41477956909656896779e-4 + (0.34300544894502810002e-6 + (0.23888264229264067658e-8 + (0.13846596292818514601e-10 + 0.65100183751111111110e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.64, 0.65). +* +* @param t scaled value +* @return result +*/ +static double p64( const double t ) { + return 0.23545076536988703937e0 + (0.44067409206365170888e-2 + (0.43594444916224700881e-4 + (0.36268045617760415178e-6 + (0.25312606430853202748e-8 + (0.14647791812837903061e-10 + 0.68453122631111111110e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.65, 0.66). +* +* @param t scaled value +* @return result +*/ +static double p65( const double t ) { + return 0.24444156740777432838e0 + (0.45855530511605787178e-2 + (0.45832466292683085475e-4 + (0.38352752590033030472e-6 + (0.26819103733055603460e-8 + (0.15489984390884756993e-10 + 0.71933206364444444445e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.66, 0.67). +* +* @param t scaled value +* @return result +*/ +static double p66( const double t ) { + return 0.25379911500634264643e0 + (0.47735723208650032167e-2 + (0.48199253896534185372e-4 + (0.40561404245564732314e-6 + (0.28411932320871165585e-8 + (0.16374705736458320149e-10 + 0.75541379822222222221e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.67, 0.68). +* +* @param t scaled value +* @return result +*/ +static double p67( const double t ) { + return 0.26354234756393613032e0 + (0.49713289477083781266e-2 + (0.50702455036930367504e-4 + (0.42901079254268185722e-6 + (0.30095422058900481753e-8 + (0.17303497025347342498e-10 + 0.79278273368888888890e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.68, 0.69). +* +* @param t scaled value +* @return result +*/ +static double p68( const double t ) { + return 0.27369129607732343398e0 + (0.51793846023052643767e-2 + (0.53350152258326602629e-4 + (0.45379208848865015485e-6 + (0.31874057245814381257e-8 + (0.18277905010245111046e-10 + 0.83144182364444444445e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.69, 0.70). +* +* @param t scaled value +* @return result +*/ +static double p69( const double t ) { + return 0.28426714781640316172e0 + (0.53983341916695141966e-2 + (0.56150884865255810638e-4 + (0.48003589196494734238e-6 + (0.33752476967570796349e-8 + (0.19299477888083469086e-10 + 0.87139049137777777779e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.70, 0.71). +* +* @param t scaled value +* @return result +*/ +static double p70( const double t ) { + return 0.29529231465348519920e0 + (0.56288077305420795663e-2 + (0.59113671189913307427e-4 + (0.50782393781744840482e-6 + (0.35735475025851713168e-8 + (0.20369760937017070382e-10 + 0.91262442613333333334e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.71, 0.72). +* +* @param t scaled value +* @return result +*/ +static double p71( const double t ) { + return 0.30679050522528838613e0 + (0.58714723032745403331e-2 + (0.62248031602197686791e-4 + (0.53724185766200945789e-6 + (0.37827999418960232678e-8 + (0.21490291930444538307e-10 + 0.95513539182222222221e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.72, 0.73). +* +* @param t scaled value +* @return result +*/ +static double p72( const double t ) { + return 0.31878680111173319425e0 + (0.61270341192339103514e-2 + (0.65564012259707640976e-4 + (0.56837930287837738996e-6 + (0.40035151353392378882e-8 + (0.22662596341239294792e-10 + 0.99891109760000000000e-13 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.73, 0.74). +* +* @param t scaled value +* @return result +*/ +static double p73( const double t ) { + return 0.33130773722152622027e0 + (0.63962406646798080903e-2 + (0.69072209592942396666e-4 + (0.60133006661885941812e-6 + (0.42362183765883466691e-8 + (0.23888182347073698382e-10 + 0.10439349811555555556e-12 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.74, 0.75). +* +* @param t scaled value +* @return result +*/ +static double p74( const double t ) { + return 0.34438138658041336523e0 + (0.66798829540414007258e-2 + (0.72783795518603561144e-4 + (0.63619220443228800680e-6 + (0.44814499336514453364e-8 + (0.25168535651285475274e-10 + 0.10901861383111111111e-12 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.75, 0.76). +* +* @param t scaled value +* @return result +*/ +static double p75( const double t ) { + return 0.35803744972380175583e0 + (0.69787978834882685031e-2 + (0.76710543371454822497e-4 + (0.67306815308917386747e-6 + (0.47397647975845228205e-8 + (0.26505114141143050509e-10 + 0.11376390933333333333e-12 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.76, 0.77). +* +* @param t scaled value +* @return result +*/ +static double p76( const double t ) { + return 0.37230734890119724188e0 + (0.72938706896461381003e-2 + (0.80864854542670714092e-4 + (0.71206484718062688779e-6 + (0.50117323769745883805e-8 + (0.27899342394100074165e-10 + 0.11862637614222222222e-12 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.77, 0.78). +* +* @param t scaled value +* @return result +*/ +static double p77( const double t ) { + return 0.38722432730555448223e0 + (0.76260375162549802745e-2 + (0.85259785810004603848e-4 + (0.75329383305171327677e-6 + (0.52979361368388119355e-8 + (0.29352606054164086709e-10 + 0.12360253370666666667e-12 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.78, 0.79). +* +* @param t scaled value +* @return result +*/ +static double p78( const double t ) { + return 0.40282355354616940667e0 + (0.79762880915029728079e-2 + (0.89909077342438246452e-4 + (0.79687137961956194579e-6 + (0.55989731807360403195e-8 + (0.30866246101464869050e-10 + 0.12868841946666666667e-12 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.79, 0.80). +* +* @param t scaled value +* @return result +*/ +static double p79( const double t ) { + return 0.41914223158913787649e0 + (0.83456685186950463538e-2 + (0.94827181359250161335e-4 + (0.84291858561783141014e-6 + (0.59154537751083485684e-8 + (0.32441553034347469291e-10 + 0.13387957943111111111e-12 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.80, 0.81). +* +* @param t scaled value +* @return result +*/ +static double p80( const double t ) { + return 0.43621971639463786896e0 + (0.87352841828289495773e-2 + (0.10002929142066799966e-3 + (0.89156148280219880024e-6 + (0.62480008150788597147e-8 + (0.34079760983458878910e-10 + 0.13917107176888888889e-12 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.81, 0.82). +* +* @param t scaled value +* @return result +*/ +static double p81( const double t ) { + return 0.45409763548534330981e0 + (0.91463027755548240654e-2 + (0.10553137232446167258e-3 + (0.94293113464638623798e-6 + (0.65972492312219959885e-8 + (0.35782041795476563662e-10 + 0.14455745872000000000e-12 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.82, 0.83). +* +* @param t scaled value +* @return result +*/ +static double p82( const double t ) { + return 0.47282001668512331468e0 + (0.95799574408860463394e-2 + (0.11135019058000067469e-3 + (0.99716373005509038080e-6 + (0.69638453369956970347e-8 + (0.37549499088161345850e-10 + 0.15003280712888888889e-12 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.83, 0.84). +* +* @param t scaled value +* @return result +*/ +static double p83( const double t ) { + return 0.49243342227179841649e0 + (0.10037550043909497071e-1 + (0.11750334542845234952e-3 + (0.10544006716188967172e-5 + (0.73484461168242224872e-8 + (0.39383162326435752965e-10 + 0.15559069118222222222e-12 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.84, 0.85). +* +* @param t scaled value +* @return result +*/ +static double p84( const double t ) { + return 0.51298708979209258326e0 + (0.10520454564612427224e-1 + (0.12400930037494996655e-3 + (0.11147886579371265246e-5 + (0.77517184550568711454e-8 + (0.41283980931872622611e-10 + 0.16122419680000000000e-12 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.85, 0.86). +* +* @param t scaled value +* @return result +*/ +static double p85( const double t ) { + return 0.53453307979101369843e0 + (0.11030120618800726938e-1 + (0.13088741519572269581e-3 + (0.11784797595374515432e-5 + (0.81743383063044825400e-8 + (0.43252818449517081051e-10 + 0.16692592640000000000e-12 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.86, 0.87). +* +* @param t scaled value +* @return result +*/ +static double p86( const double t ) { + return 0.55712643071169299478e0 + (0.11568077107929735233e-1 + (0.13815797838036651289e-3 + (0.12456314879260904558e-5 + (0.86169898078969313597e-8 + (0.45290446811539652525e-10 + 0.17268801084444444444e-12 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.87, 0.88). +* +* @param t scaled value +* @return result +*/ +static double p87( const double t ) { + return 0.58082532122519320968e0 + (0.12135935999503877077e-1 + (0.14584223996665838559e-3 + (0.13164068573095710742e-5 + (0.90803643355106020163e-8 + (0.47397540713124619155e-10 + 0.17850211608888888889e-12 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.88, 0.89). +* +* @param t scaled value +* @return result +*/ +static double p88( const double t ) { + return 0.60569124025293375554e0 + (0.12735396239525550361e-1 + (0.15396244472258863344e-3 + (0.13909744385382818253e-5 + (0.95651595032306228245e-8 + (0.49574672127669041550e-10 + 0.18435945564444444444e-12 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.89, 0.90). +* +* @param t scaled value +* @return result +*/ +static double p89( const double t ) { + return 0.63178916494715716894e0 + (0.13368247798287030927e-1 + (0.16254186562762076141e-3 + (0.14695084048334056083e-5 + (0.10072078109604152350e-7 + (0.51822304995680707483e-10 + 0.19025081422222222222e-12 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.90, 0.91). +* +* @param t scaled value +* @return result +*/ +static double p90( const double t ) { + return 0.65918774689725319200e0 + (0.14036375850601992063e-1 + (0.17160483760259706354e-3 + (0.15521885688723188371e-5 + (0.10601827031535280590e-7 + (0.54140790105837520499e-10 + 0.19616655146666666667e-12 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.91, 0.92). +* +* @param t scaled value +* @return result +*/ +static double p91( const double t ) { + return 0.68795950683174433822e0 + (0.14741765091365869084e-1 + (0.18117679143520433835e-3 + (0.16392004108230585213e-5 + (0.11155116068018043001e-7 + (0.56530360194925690374e-10 + 0.20209663662222222222e-12 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.92, 0.93). +* +* @param t scaled value +* @return result +*/ +static double p92( const double t ) { + return 0.71818103808729967036e0 + (0.15486504187117112279e-1 + (0.19128428784550923217e-3 + (0.17307350969359975848e-5 + (0.11732656736113607751e-7 + (0.58991125287563833603e-10 + 0.20803065333333333333e-12 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.93, 0.94). +* +* @param t scaled value +* @return result +*/ +static double p93( const double t ) { + return 0.74993321911726254661e0 + (0.16272790364044783382e-1 + (0.20195505163377912645e-3 + (0.18269894883203346953e-5 + (0.12335161021630225535e-7 + (0.61523068312169087227e-10 + 0.21395783431111111111e-12 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.94, 0.95). +* +* @param t scaled value +* @return result +*/ +static double p94( const double t ) { + return 0.78330143531283492729e0 + (0.17102934132652429240e-1 + (0.21321800585063327041e-3 + (0.19281661395543913713e-5 + (0.12963340087354341574e-7 + (0.64126040998066348872e-10 + 0.21986708942222222222e-12 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.95, 0.96). +* +* @param t scaled value +* @return result +*/ +static double p95( const double t ) { + return 0.81837581041023811832e0 + (0.17979364149044223802e-1 + (0.22510330592753129006e-3 + (0.20344732868018175389e-5 + (0.13617902941839949718e-7 + (0.66799760083972474642e-10 + 0.22574701262222222222e-12 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.96, 0.97). +* +* @param t scaled value +* @return result +*/ +static double p96( const double t ) { + return 0.85525144775685126237e0 + (0.18904632212547561026e-1 + (0.23764237370371255638e-3 + (0.21461248251306387979e-5 + (0.14299555071870523786e-7 + (0.69543803864694171934e-10 + 0.23158593688888888889e-12 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.97, 0.98). +* +* @param t scaled value +* @return result +*/ +static double p97( const double t ) { + return 0.89402868170849933734e0 + (0.19881418399127202569e-1 + (0.25086793128395995798e-3 + (0.22633402747585233180e-5 + (0.15008997042116532283e-7 + (0.72357609075043941261e-10 + 0.23737194737777777778e-12 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.98, 0.99). +* +* @param t scaled value +* @return result +*/ +static double p98( const double t ) { + return 0.93481333942870796363e0 + (0.20912536329780368893e-1 + (0.26481403465998477969e-3 + (0.23863447359754921676e-5 + (0.15746923065472184451e-7 + (0.75240468141720143653e-10 + 0.24309291271111111111e-12 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for \[0.99, 1.00). +* +* @param t scaled value +* @return result +*/ +static double p99( const double t ) { + return 0.97771701335885035464e0 + (0.22000938572830479551e-1 + (0.27951610702682383001e-3 + (0.25153688325245314530e-5 + (0.16514019547822821453e-7 + (0.78191526829368231251e-10 + 0.24873652355555555556e-12 * t) * t) * t) * t) * t) * t; +} + +/** +* Chebyshev polynomial for `1.0`. +* +* @param t scaled value +* @return result +*/ +static double p100( const double t ) { + // We only get here if y = 1; i.e., |x| < 4*eps, in which case `erfcx` is within `1e-15` of 1... + (void)t; // Suppress unused parameter warning + return 1.0; +} + + +static double (* const table[])(const double) = { + p0, p1, p2, p3, p4, p5, p6, p7, p8, p9, + p10, p11, p12, p13, p14, p15, p16, p17, p18, p19, + p20, p21, p22, p23, p24, p25, p26, p27, p28, p29, + p30, p31, p32, p33, p34, p35, p36, p37, p38, p39, + p40, p41, p42, p43, p44, p45, p46, p47, p48, p49, + p50, p51, p52, p53, p54, p55, p56, p57, p58, p59, + p60, p61, p62, p63, p64, p65, p66, p67, p68, p69, + p70, p71, p72, p73, p74, p75, p76, p77, p78, p79, + p80, p81, p82, p83, p84, p85, p86, p87, p88, p89, + p90, p91, p92, p93, p94, p95, p96, p97, p98, p99, + p100 +}; + +/** +* Given `y100 = 100*y`, where `y = 4/(4+x)` for `x >= 0`, compute `erfc(x)`. +* +* ## Notes +* +* - Uses a look-up table of 100 different Chebyshev polynomials or y intervals \[0,0.01\], \[0.01,0.02\], ..., \[0.99,1\], generated with the help of Maple and a little shell script. +* - This allows the Chebyshev polynomials to be of significantly lower degree (about 1/4) compared to fitting the whole \[0,1\] interval with a single polynomial. +* +* @param y100 scaled argument +* @return complementary error function +*/ +static double erfcxY100( const double y100 ) { + double t; + double(*f)(const double); + + t = stdlib_base_floor( y100 ); + f = table[ (int)t ]; + return f( 2 * y100 - ( ( 2 * t ) + 1.0 ) ); +} + +/** +* Evaluates the scaled complementary error function. +* +* ```tex +* \operatorname{erfcx}(x) = \exp{x^2} \cdot \operatorname{erfc}(x) +* ``` +* +* ## Notes +* +* - Use this function to replace expressions containing `exp{x^2} erfc(x)` in order to avoid errors due to underflow or overflow. +* - For expressions of the form `\exp{-x^2} erfcx(x)`, use the complementary error function `erfc(x)` instead, as this substitution maintains accuracy by avoiding roundoff errors for large values of `x`. +* +* @param x input value +* @return evaluated scaled complementary error function +* +* @example +* float y = stdlib_base_erfcxf( 0.0f ); +* // returns 1.0f +* +* @example +* float y = stdlib_base_erfcxf( 1.0f ); +* // returns ~0.4276f +* +* @example +* float y = stdlib_base_erfcxf( -1.0f ); +* // returns ~5.01f +* +* @example +* float y = stdlib_base_erfcxf( 50.0f ); +* // returns ~0.011f +* +* @example +* float y = stdlib_base_erfcxf( -50.0f ); +* // returns +Infinity +*/ +float stdlib_base_erfcxf( const float x ) { + double x_d = (double)x; // Use double precision for calculations like JavaScript + + if( stdlib_base_is_nanf( x ) ) { + return x; + } + if ( x_d >= 0.0 ) { + if ( x_d > 50.0 ) { // continued-fraction expansion is faster + if ( x_d > 5.0e7 ) { // 1-term expansion, important to avoid overflow + return INV_SQRT_PI / x; + } + // Use double precision for continued-fraction expansion + double x2_d = x_d * x_d; + double result = 0.56418958 * ( ( x2_d * ( x2_d + 4.5 ) ) + 2.0 ) / ( x_d * ( ( x2_d * ( x2_d + 5.0 ) ) + 3.75 ) ); + return (float)result; + } + return (float)erfcxY100( 400.0 / ( 4.0 + x_d ) ); // Use double precision, convert to float at end + } + if ( x_d < -26.7 ) { + return STDLIB_CONSTANT_FLOAT32_PINF; + } + // Use double precision for negative path exponential calculations + double x2_d = x_d * x_d; + if ( x_d < -6.1 ) { + return (float)(2.0 * stdlib_base_exp( x2_d )); + } + return (float)(( 2.0 * stdlib_base_exp( x2_d ) ) - erfcxY100( 400.0 / ( 4.0 - x_d ) )); // Use double precision, convert to float at end +} diff --git a/lib/node_modules/@stdlib/math/base/special/erfcxf/test/fixtures/large_positive.json 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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. + +"""Generate fixtures.""" + +from os import path +import json +from scipy.special import erfcx +import numpy as np + +# Get the file path. +FILE = path.realpath(__file__) + +# Get the file's directory. +DIR = path.dirname(FILE) + + +def generate(x, filename): + """Generate fixture data and write to file. + + # Arguments + + * `x`: domain + * `name::str`: filename of the output file + + # Examples + + ```python + python> x = np.linspace(-10.0, 10.0, 2001) + python> generate(x, './data.json') + ``` + """ + # Convert inputs to float32 (like erfcxf receives) + x_f32 = np.asarray(x, dtype=np.float32) + + # Compute erfcx with float32 inputs, then convert to float32 precision + y = erfcx(x_f32) + y_f32 = np.asarray(y, dtype=np.float32) + + data = dict( + x=x_f32.tolist(), + expected=y_f32.tolist() + ) + + filepath = path.join(DIR, filename) + + with open(filepath, 'w') as out: + json.dump(data, out) + + +def main(): + """Generate fixture data.""" + + # Large positive values: + x = np.linspace(40.0, 100.0, 1707) + generate(x, "large_positive.json") + + # Medium positive values: + x = np.linspace(1.0, 10.0, 1707) + generate(x, "medium_positive.json") + + # Small positive values: + x = np.linspace(2.0**-54, 1.0, 1653) + generate(x, "small_positive.json") + + # Medium negative values: + x = np.linspace(-10.0, -1.0, 1707) + generate(x, "medium_negative.json") + + # Small negative values: + x = np.linspace(-1.0, -2.0**-54, 1653) + generate(x, "small_negative.json") + + # Tiny values: + x = np.linspace(1.9**-54, 2.0**-54, 1431) + generate(x, "tiny.json") + +if __name__ == "__main__": + main() diff --git a/lib/node_modules/@stdlib/math/base/special/erfcxf/test/fixtures/small_negative.json 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file mode 100644 index 000000000000..f1fe3bae3d39 --- /dev/null +++ b/lib/node_modules/@stdlib/math/base/special/erfcxf/test/test.js @@ -0,0 +1,270 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2022 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. +*/ + +'use strict'; + +// MODULES // + +var tape = require( 'tape' ); +var isnanf = require( '@stdlib/math/base/assert/is-nanf' ); +var abs = require( '@stdlib/math/base/special/abs' ); +var PINF = require( '@stdlib/constants/float32/pinf' ); +var EPS = require( '@stdlib/constants/float32/eps' ); +var float64ToFloat32 = require( '@stdlib/number/float64/base/to-float32' ); +var erfcxf = require( './../lib' ); + + +// VARIABLES // + +var INV_SQRT_PI = 0.56418958; // 1 / sqrt(pi) - float32 precision + + +// FIXTURES // + +var mediumPositive = require( './fixtures/medium_positive.json' ); +var smallPositive = require( './fixtures/small_positive.json' ); +var smallNegative = require( './fixtures/small_negative.json' ); +var mediumNegative = require( './fixtures/medium_negative.json' ); +var largePositive = require( './fixtures/large_positive.json' ); +var tiny = require( './fixtures/tiny.json' ); + + +// TESTS // + +tape( 'main export is a function', function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof erfcxf, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function returns `NaN` if provided `NaN`', function test( t ) { + var y; + + y = erfcxf( NaN ); + t.strictEqual( isnanf( y ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function returns `Infinity` if `x` is smaller than `-26.7`', function test( t ) { + var y; + + y = erfcxf( -26.7 ); + t.strictEqual( y, PINF, 'returns expected value' ); + + y = erfcxf( -30.0 ); + t.strictEqual( y, PINF, 'returns expected value' ); + + y = erfcxf( -35.0 ); + t.strictEqual( y, PINF, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function returns `( 1 / sqrt(pi) ) / x` if `x` is larger than `5e7`', function test( t ) { + var expected; + var delta; + var tol; + var y; + var x; + + x = 5.0e8; + y = erfcxf( x ); + expected = float64ToFloat32( INV_SQRT_PI / x ); + if ( y === expected ) { + t.strictEqual( y, expected, 'returns expected value' ); + } else { + delta = abs( expected - y ); + tol = EPS * abs( expected ); + t.ok( delta <= tol, 'within tolerance. returns '+y+' when provided '+x+'. expected: '+expected+'. delta: '+delta+'. tol: ' +tol+'.' ); + } + + x = 5.0e9; + y = erfcxf( x ); + expected = float64ToFloat32( INV_SQRT_PI / x ); + if ( y === expected ) { + t.strictEqual( y, expected, 'returns expected value' ); + } else { + delta = abs( expected - y ); + tol = EPS * abs( expected ); + t.ok( delta <= tol, 'within tolerance. returns '+y+' when provided '+x+'. expected: '+expected+'. delta: '+delta+'. tol: ' +tol+'.' ); + } + + x = 5.0e15; + y = erfcxf( x ); + expected = float64ToFloat32( INV_SQRT_PI / x ); + if ( y === expected ) { + t.strictEqual( y, expected, 'returns expected value' ); + } else { + delta = abs( expected - y ); + tol = EPS * abs( expected ); + t.ok( delta <= tol, 'within tolerance. returns '+y+' when provided '+x+'. expected: '+expected+'. delta: '+delta+'. tol: ' +tol+'.' ); + } + + t.end(); +}); + +tape( 'the function computes the scaled complementary error function for positive medium numbers', function test( t ) { + var expected; + var delta; + var tol; + var x; + var y; + var i; + var e; + + expected = mediumPositive.expected; + x = mediumPositive.x; + for ( i = 0; i < expected.length; i++ ) { + y = erfcxf( x[ i ] ); + e = float64ToFloat32( expected[ i ] ); + if ( y === e ) { + t.strictEqual( y, e, 'returns '+y+' when provided '+x[i]+'.' ); + } else { + delta = abs( e - y ); + tol = EPS * abs( e ); + t.ok( delta <= tol, 'within tolerance. returns '+y+' when provided '+x[i]+'. expected: '+e+'. delta: '+delta+'. tol: ' +tol+'.' ); + } + } + t.end(); +}); + +tape( 'the function computes the scaled complementary error function for positive small numbers', function test( t ) { + var expected; + var delta; + var tol; + var x; + var y; + var i; + var e; + + expected = smallPositive.expected; + x = smallPositive.x; + for ( i = 0; i < expected.length; i++ ) { + y = erfcxf( x[ i ] ); + e = float64ToFloat32( expected[ i ] ); + if ( y === e ) { + t.strictEqual( y, e, 'returns '+y+' when provided '+x[i]+'.' ); + } else { + delta = abs( e - y ); + tol = EPS * abs( e ); + t.ok( delta <= tol, 'within tolerance. returns '+y+' when provided '+x[i]+'. expected: '+e+'. delta: '+delta+'. tol: ' +tol+'.' ); + } + } + t.end(); +}); + +tape( 'the function computes the scaled complementary error function for negative small numbers', function test( t ) { + var expected; + var delta; + var tol; + var x; + var y; + var i; + var e; + + expected = smallNegative.expected; + x = smallNegative.x; + for ( i = 0; i < expected.length; i++ ) { + y = erfcxf( x[ i ] ); + e = float64ToFloat32( expected[ i ] ); + if ( y === e ) { + t.strictEqual( y, e, 'returns '+y+' when provided '+x[i]+'.' ); + } else { + delta = abs( e - y ); + tol = 2.0 * EPS * abs( e ); + t.ok( delta <= tol, 'within tolerance. returns '+y+' when provided '+x[i]+'. expected: '+e+'. delta: '+delta+'. tol: ' +tol+'.' ); + } + } + t.end(); +}); + +tape( 'the function computes the scaled complementary error function for negative medium numbers', function test( t ) { + var expected; + var delta; + var tol; + var x; + var y; + var i; + var e; + + expected = mediumNegative.expected; + x = mediumNegative.x; + for ( i = 0; i < expected.length; i++ ) { + y = erfcxf( x[ i ] ); + e = float64ToFloat32( expected[ i ] ); + if ( y === e ) { + t.strictEqual( y, e, 'returns '+y+' when provided '+x[i]+'.' ); + } else { + delta = abs( e - y ); + tol = EPS * abs( e ); + t.ok( delta <= tol, 'within tolerance. returns '+y+' when provided '+x[i]+'. expected: '+e+'. delta: '+delta+'. tol: ' +tol+'.' ); + } + } + t.end(); +}); + +tape( 'the function computes the scaled complementary error function for positive large numbers', function test( t ) { + var expected; + var delta; + var tol; + var x; + var y; + var i; + var e; + + expected = largePositive.expected; + x = largePositive.x; + for ( i = 0; i < expected.length; i++ ) { + y = erfcxf( x[ i ] ); + e = float64ToFloat32( expected[ i ] ); + if ( y === e ) { + t.strictEqual( y, e, 'returns '+y+' when provided '+x[i]+'.' ); + } else { + delta = abs( e - y ); + tol = EPS * abs( e ); + t.ok( delta <= tol, 'within tolerance. returns '+y+' when provided '+x[i]+'. expected: '+e+'. delta: '+delta+'. tol: ' +tol+'.' ); + } + } + t.end(); +}); + +tape( 'the function computes the scaled complementary error function for tiny numbers', function test( t ) { + var expected; + var delta; + var tol; + var x; + var y; + var i; + var e; + + expected = tiny.expected; + x = tiny.x; + for ( i = 0; i < expected.length; i++ ) { + y = erfcxf( x[ i ] ); + e = float64ToFloat32( expected[ i ] ); + if ( y === e ) { + t.strictEqual( y, e, 'returns '+y+' when provided '+x[i]+'.' ); + } else { + delta = abs( e - y ); + tol = EPS * abs( e ); + t.ok( delta <= tol, 'within tolerance. returns '+y+' when provided '+x[i]+'. expected: '+e+'. delta: '+delta+'. tol: ' +tol+'.' ); + } + } + t.end(); +}); diff --git a/lib/node_modules/@stdlib/math/base/special/erfcxf/test/test.native.js b/lib/node_modules/@stdlib/math/base/special/erfcxf/test/test.native.js new file mode 100644 index 000000000000..f2ac7db25bc6 --- /dev/null +++ b/lib/node_modules/@stdlib/math/base/special/erfcxf/test/test.native.js @@ -0,0 +1,275 @@ +/** +* @license Apache-2.0 +* +* Copyright (c) 2024 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. +*/ + +'use strict'; + +// MODULES // + +var resolve = require( 'path' ).resolve; +var tape = require( 'tape' ); +var isnanf = require( '@stdlib/math/base/assert/is-nanf' ); +var abs = require( '@stdlib/math/base/special/abs' ); +var PINF = require( '@stdlib/constants/float32/pinf' ); +var EPS = require( '@stdlib/constants/float32/eps' ); +var float64ToFloat32 = require( '@stdlib/number/float64/base/to-float32' ); +var tryRequire = require( '@stdlib/utils/try-require' ); + + +// FIXTURES // + +var mediumPositive = require( './fixtures/medium_positive.json' ); +var smallPositive = require( './fixtures/small_positive.json' ); +var smallNegative = require( './fixtures/small_negative.json' ); +var mediumNegative = require( './fixtures/medium_negative.json' ); +var largePositive = require( './fixtures/large_positive.json' ); +var tiny = require( './fixtures/tiny.json' ); + + +// VARIABLES // + +var INV_SQRT_PI = 0.56418958; // 1 / sqrt(pi) - float32 precision +var erfcxf = tryRequire( resolve(__dirname, './../lib/native.js' ) ); +var opts = { + 'skip': ( erfcxf instanceof Error ) +}; + + +// TESTS // + +tape( 'main export is a function', opts, function test( t ) { + t.ok( true, __filename ); + t.strictEqual( typeof erfcxf, 'function', 'main export is a function' ); + t.end(); +}); + +tape( 'the function returns `NaN` if provided `NaN`', opts, function test( t ) { + var y; + + y = erfcxf( NaN ); + t.strictEqual( isnanf( y ), true, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function returns `Infinity` if `x` is smaller than `-26.7`', opts, function test( t ) { + var y; + + y = erfcxf( -26.7 ); + t.strictEqual( y, PINF, 'returns expected value' ); + + y = erfcxf( -30.0 ); + t.strictEqual( y, PINF, 'returns expected value' ); + + y = erfcxf( -35.0 ); + t.strictEqual( y, PINF, 'returns expected value' ); + + t.end(); +}); + +tape( 'the function returns `( 1 / sqrt(pi) ) / x` if `x` is larger than `5e7`', opts, function test( t ) { + var expected; + var delta; + var tol; + var y; + var x; + + x = 5.0e8; + y = erfcxf( x ); + expected = float64ToFloat32( INV_SQRT_PI / x ); + if ( y === expected ) { + t.strictEqual( y, expected, 'returns expected value' ); + } else { + delta = abs( expected - y ); + tol = EPS * abs( expected ); // Standard tolerance + t.ok( delta <= tol, 'within tolerance. returns '+y+' when provided '+x+'. expected: '+expected+'. delta: '+delta+'. tol: ' +tol+'.' ); + } + + x = 5.0e9; + y = erfcxf( x ); + expected = float64ToFloat32( INV_SQRT_PI / x ); + if ( y === expected ) { + t.strictEqual( y, expected, 'returns expected value' ); + } else { + delta = abs( expected - y ); + tol = (1e-16 + (abs( expected ) * 1e-16)); // Small tolerance for C precision differences + t.ok( delta <= tol, 'within tolerance. returns '+y+' when provided '+x+'. expected: '+expected+'. delta: '+delta+'. tol: ' +tol+'.' ); + } + + x = 5.0e15; + y = erfcxf( x ); + expected = float64ToFloat32( INV_SQRT_PI / x ); + if ( y === expected ) { + t.strictEqual( y, expected, 'returns expected value' ); + } else { + delta = abs( expected - y ); + tol = (1e-20 + (abs( expected ) * 1e-20)); // Small tolerance for C precision differences + t.ok( delta <= tol, 'within tolerance. returns '+y+' when provided '+x+'. expected: '+expected+'. delta: '+delta+'. tol: ' +tol+'.' ); + } + + t.end(); +}); + +tape( 'the function computes the scaled complementary error function for positive medium numbers', opts, function test( t ) { + var expected; + var delta; + var tol; + var x; + var y; + var i; + var e; + + expected = mediumPositive.expected; + x = mediumPositive.x; + for ( i = 0; i < expected.length; i++ ) { + y = erfcxf( x[ i ] ); + e = float64ToFloat32( expected[ i ] ); + if ( y === e ) { + t.strictEqual( y, e, 'returns '+y+' when provided '+x[i]+'.' ); + } else { + delta = abs( e - y ); + tol = EPS * abs( e ); // Standard tolerance + t.ok( delta <= tol, 'within tolerance. returns '+y+' when provided '+x[i]+'. expected: '+e+'. delta: '+delta+'. tol: ' +tol+'.' ); + } + } + t.end(); +}); + +tape( 'the function computes the scaled complementary error function for positive small numbers', opts, function test( t ) { + var expected; + var delta; + var tol; + var x; + var y; + var i; + var e; + + expected = smallPositive.expected; + x = smallPositive.x; + for ( i = 0; i < expected.length; i++ ) { + y = erfcxf( x[ i ] ); + e = float64ToFloat32( expected[ i ] ); + if ( y === e ) { + t.strictEqual( y, e, 'returns '+y+' when provided '+x[i]+'.' ); + } else { + delta = abs( e - y ); + tol = EPS * abs( e ); // Standard tolerance + t.ok( delta <= tol, 'within tolerance. returns '+y+' when provided '+x[i]+'. expected: '+e+'. delta: '+delta+'. tol: ' +tol+'.' ); + } + } + t.end(); +}); + +tape( 'the function computes the scaled complementary error function for negative small numbers', opts, function test( t ) { + var expected; + var delta; + var tol; + var x; + var y; + var i; + var e; + + expected = smallNegative.expected; + x = smallNegative.x; + for ( i = 0; i < expected.length; i++ ) { + y = erfcxf( x[ i ] ); + e = float64ToFloat32( expected[ i ] ); + if ( y === e ) { + t.strictEqual( y, e, 'returns '+y+' when provided '+x[i]+'.' ); + } else { + delta = abs( e - y ); + tol = EPS * abs( e ); // Standard tolerance + t.ok( delta <= tol, 'within tolerance. returns '+y+' when provided '+x[i]+'. expected: '+e+'. delta: '+delta+'. tol: ' +tol+'.' ); + } + } + t.end(); +}); + +tape( 'the function computes the scaled complementary error function for negative medium numbers', opts, function test( t ) { + var expected; + var delta; + var tol; + var x; + var y; + var i; + var e; + + expected = mediumNegative.expected; + x = mediumNegative.x; + for ( i = 0; i < expected.length; i++ ) { + y = erfcxf( x[ i ] ); + e = float64ToFloat32( expected[ i ] ); + if ( y === e ) { + t.strictEqual( y, e, 'returns '+y+' when provided '+x[i]+'.' ); + } else { + delta = abs( e - y ); + tol = EPS * abs( e ); // Standard tolerance + t.ok( delta <= tol, 'within tolerance. returns '+y+' when provided '+x[i]+'. expected: '+e+'. delta: '+delta+'. tol: ' +tol+'.' ); + } + } + t.end(); +}); + +tape( 'the function computes the scaled complementary error function for positive large numbers', opts, function test( t ) { + var expected; + var delta; + var tol; + var x; + var y; + var i; + var e; + + expected = largePositive.expected; + x = largePositive.x; + for ( i = 0; i < expected.length; i++ ) { + y = erfcxf( x[ i ] ); + e = float64ToFloat32( expected[ i ] ); + if ( y === e ) { + t.strictEqual( y, e, 'returns '+y+' when provided '+x[i]+'.' ); + } else { + delta = abs( e - y ); + tol = EPS * abs( e ); // Standard tolerance + t.ok( delta <= tol, 'within tolerance. returns '+y+' when provided '+x[i]+'. expected: '+e+'. delta: '+delta+'. tol: ' +tol+'.' ); + } + } + t.end(); +}); + +tape( 'the function computes the scaled complementary error function for tiny numbers', opts, function test( t ) { + var expected; + var delta; + var tol; + var x; + var y; + var i; + var e; + + expected = tiny.expected; + x = tiny.x; + for ( i = 0; i < expected.length; i++ ) { + y = erfcxf( x[ i ] ); + e = float64ToFloat32( expected[ i ] ); + if ( y === e ) { + t.strictEqual( y, e, 'returns '+y+' when provided '+x[i]+'.' ); + } else { + delta = abs( e - y ); + tol = EPS * abs( e ); // Standard tolerance + t.ok( delta <= tol, 'within tolerance. returns '+y+' when provided '+x[i]+'. expected: '+e+'. delta: '+delta+'. tol: ' +tol+'.' ); + } + } + t.end(); +});