diff --git a/lib/node_modules/@stdlib/stats/base/dists/poisson/pmf/README.md b/lib/node_modules/@stdlib/stats/base/dists/poisson/pmf/README.md index 78b9905b2073..a00d94f8eb9b 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/poisson/pmf/README.md +++ b/lib/node_modules/@stdlib/stats/base/dists/poisson/pmf/README.md @@ -143,6 +143,97 @@ for ( i = 0; i < 10; i++ ) { + + +* * * + +
+ +## C APIs + + + +
+ +
+ + + + + +
+ +### Usage + +```c +#include "stdlib/stats/base/dists/poisson/pmf.h" +``` + +#### stdlib_base_dists_poisson_pmf( x, λ ) + +Evaluates the probability mass function (PMF) for a Poisson distribution with mean parameter `lambda` at a value `x`. + +```c +double y = stdlib_base_dists_poisson_pmf( 4.0, 3.0 ); +* // returns ~0.168 +``` + +The function accepts the following arguments: + +- **x**: `[in] double` input value. +- **λ**: `[in] double` mean parameter. + +```c +double stdlib_base_dists_poisson_pmf( const double x, const double lambda ); +``` + +
+ + + + + +
+ +
+ + + + + +
+ +### Examples + +```c +#include "stdlib/stats/base/dists/poisson/pmf.h" +#include +#include + +int main( void ) { + double x; + double lambda; + double v; + int i; + + for ( i = 0; i < 10; i++ ) { + x = 20.0 * (double)rand() / ( (double)RAND_MAX + 1.0 ); + lambda = 20.0 * (double)rand() / ( (double)RAND_MAX + 1.0 ); + v = stdlib_base_dists_poisson_pmf( x, lambda ); + printf( "x: %lf, λ: %lf , E(X;λ): %lf\n", x, lambda , v ); + } +} +``` + +
+ + + +
+ + +
diff --git a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/poisson/pmf/benchmark/benchmark.native.js similarity index 61% rename from lib/node_modules/@stdlib/stats/base/dists/t/pdf/benchmark/benchmark.js rename to lib/node_modules/@stdlib/stats/base/dists/poisson/pmf/benchmark/benchmark.native.js index d9b401f0547c..2d90e2cf333c 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/benchmark/benchmark.js +++ b/lib/node_modules/@stdlib/stats/base/dists/poisson/pmf/benchmark/benchmark.native.js @@ -1,7 +1,7 @@ /** * @license Apache-2.0 * -* Copyright (c) 2018 The Stdlib Authors. +* 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. @@ -20,53 +20,44 @@ // MODULES // +var resolve = require( 'path' ).resolve; var bench = require( '@stdlib/bench' ); -var ceil = require( '@stdlib/math/base/special/ceil' ); +var Float64Array = require( '@stdlib/array/float64' ); var randu = require( '@stdlib/random/base/randu' ); +var EPS = require( '@stdlib/constants/float64/eps' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var tryRequire = require( '@stdlib/utils/try-require' ); var pkg = require( './../package.json' ).name; -var pdf = require( './../lib' ); -// MAIN // +// VARIABLES // -bench( pkg, function benchmark( b ) { - var v; - var x; - var y; - var i; +var mean = tryRequire( resolve( __dirname, './../lib/native.js' ) ); +var opts = { + 'skip': ( mean instanceof Error ) +}; - b.tic(); - for ( i = 0; i < b.iterations; i++ ) { - x = ( randu()*100.0 ) - 100; - v = ceil( randu()*100.0 ); - y = pdf( x, v ); - if ( isnan( y ) ) { - b.fail( 'should not return NaN' ); - } - } - b.toc(); - if ( isnan( y ) ) { - b.fail( 'should not return NaN' ); - } - b.pass( 'benchmark finished' ); - b.end(); -}); -bench( pkg+':factory', function benchmark( b ) { - var mypdf; - var v; +// MAIN // + +bench( pkg+'::native', opts, function benchmark( b ) { + var lambda; + var len; var x; var y; var i; - v = 3.0; - mypdf = pdf.factory( v ); + len = 100; + x = new Float64Array( len ); + lambda = new Float64Array( len ); + for ( i = 0; i < len; i++ ) { + x[ i ] = ( randu()*20.0 ) + EPS; + lambda[ i ] = ( randu()*20.0 ) + EPS; + } b.tic(); for ( i = 0; i < b.iterations; i++ ) { - x = ( randu()*100.0 ) - 50.0; - y = mypdf( x ); + y = mean( x[ i % len ], lambda[ i % len ] ); if ( isnan( y ) ) { b.fail( 'should not return NaN' ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/poisson/pmf/benchmark/c/Makefile b/lib/node_modules/@stdlib/stats/base/dists/poisson/pmf/benchmark/c/Makefile new file mode 100644 index 000000000000..f69e9da2b4d3 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/dists/poisson/pmf/benchmark/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 := 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/stats/base/dists/poisson/pmf/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/poisson/pmf/benchmark/c/benchmark.c new file mode 100644 index 000000000000..d05cba485695 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/dists/poisson/pmf/benchmark/c/benchmark.c @@ -0,0 +1,138 @@ +/** +* @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/stats/base/dists/poisson/pmf.h" +#include +#include +#include +#include +#include + +#define NAME "poisson-mean" +#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 [0,20). +* +* @return random number +*/ +static double rand_double( void ) { + int r = rand(); + return 20.0*(double)r / ( (double)RAND_MAX + 1.0 ); +} + +/** +* Runs a benchmark. +* +* @return elapsed time in seconds +*/ +static double benchmark( void ) { + double elapsed; + double x[0]; + double lambda[ 100 ]; + double y; + double t; + int i; + + for ( i = 0; i < 100; i++ ) { + x[ i ] = rand_double(); + lambda[ i ] = rand_double(); + } + + t = tic(); + for ( i = 0; i < ITERATIONS; i++ ) { + y = stdlib_base_dists_poisson_pmf( x[ i%100 ], lambda[ 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::%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/stats/base/dists/poisson/pmf/binding.gyp b/lib/node_modules/@stdlib/stats/base/dists/poisson/pmf/binding.gyp new file mode 100644 index 000000000000..ec3992233442 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/dists/poisson/pmf/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/stats/base/dists/poisson/pmf/examples/c/Makefile b/lib/node_modules/@stdlib/stats/base/dists/poisson/pmf/examples/c/Makefile new file mode 100644 index 000000000000..1ba40665bbac --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/dists/poisson/pmf/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 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/stats/base/dists/t/pdf/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/poisson/pmf/examples/c/example.c similarity index 53% rename from lib/node_modules/@stdlib/stats/base/dists/t/pdf/test/test.js rename to lib/node_modules/@stdlib/stats/base/dists/poisson/pmf/examples/c/example.c index 4c4ed20d90fa..ef271201a1f0 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/test/test.js +++ b/lib/node_modules/@stdlib/stats/base/dists/poisson/pmf/examples/c/example.c @@ -1,7 +1,7 @@ /** * @license Apache-2.0 * -* Copyright (c) 2018 The Stdlib Authors. +* 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. @@ -16,23 +16,20 @@ * limitations under the License. */ -'use strict'; +#include "stdlib/stats/base/dists/poisson/pmf.h" +#include +#include -// MODULES // +int main( void ) { + double x; + double lambda; + double v; + int i; -var tape = require( 'tape' ); -var pdf = require( './../lib' ); - - -// TESTS // - -tape( 'main export is a function', function test( t ) { - t.ok( true, __filename ); - t.strictEqual( typeof pdf, 'function', 'main export is a function' ); - t.end(); -}); - -tape( 'attached to the main export is a factory method for generating `pdf` functions', function test( t ) { - t.equal( typeof pdf.factory, 'function', 'exports a factory method' ); - t.end(); -}); + for ( i = 0; i < 10; i++ ) { + x = 20.0 * (double)rand() / ( (double)RAND_MAX + 1.0 ); + lambda = 20.0 * (double)rand() / ( (double)RAND_MAX + 1.0 ); + v = stdlib_base_dists_poisson_mean( x, lambda ); + printf( "x: %lf , λ: %lf , E(X;λ): %lf\n", x, lambda , v ); + } +} diff --git a/lib/node_modules/@stdlib/stats/base/dists/poisson/pmf/include.gypi b/lib/node_modules/@stdlib/stats/base/dists/poisson/pmf/include.gypi new file mode 100644 index 000000000000..575cb043c0bf --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/dists/poisson/pmf/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': [ + ' - -# Probability Density Function - -> [Student's t][t-distribution] distribution probability density function (PDF). - -
- -The [probability density function][pdf] (PDF) for a [t distribution][t-distribution] random variable is - - - -```math -\frac{1} {\sqrt{\nu}\,B\left( \tfrac{1}{2}, \tfrac{\nu}{2} \right )} \left(1+\frac{x^2}{\nu} \right)^{-\frac{\nu+1}{2}} -``` - - - - - -where `v > 0` is the degrees of freedom. - -
- - - -
- -## Usage - -```javascript -var pdf = require( '@stdlib/stats/base/dists/t/pdf' ); -``` - -#### pdf( x, v ) - -Evaluates the [probability density function][pdf] (PDF) for a [Student's t][t-distribution] distribution with degrees of freedom `v`. - -```javascript -var y = pdf( 0.3, 4.0 ); -// returns ~0.355 - -y = pdf( 2.0, 0.7 ); -// returns ~0.058 - -y = pdf( -1.0, 0.5 ); -// returns ~0.118 -``` - -If provided `NaN` as any argument, the function returns `NaN`. - -```javascript -var y = pdf( NaN, 1.0 ); -// returns NaN - -y = pdf( 0.0, NaN ); -// returns NaN -``` - -If provided `v <= 0`, the function returns `NaN`. - -```javascript -var y = pdf( 2.0, -1.0 ); -// returns NaN - -y = pdf( 2.0, 0.0 ); -// returns NaN -``` - -#### pdf.factory( v ) - -Returns a `function` for evaluating the [PDF][pdf] of a [Student's t][t-distribution] distribution with degrees of freedom `v`. - -```javascript -var mypdf = pdf.factory( 1.0 ); -var y = mypdf( 3.0 ); -// returns ~0.032 - -y = mypdf( 1.0 ); -// returns ~0.159 -``` - -
- - - -
- -## Examples - - - -```javascript -var randu = require( '@stdlib/random/base/randu' ); -var pdf = require( '@stdlib/stats/base/dists/t/pdf' ); - -var v; -var x; -var y; -var i; - -for ( i = 0; i < 10; i++ ) { - x = (randu() * 6.0) - 3.0; - v = randu() * 10.0; - y = pdf( x, v ); - console.log( 'x: %d, v: %d, f(x;v): %d', x, v, y ); -} -``` - -
- - - - - -
- -
- - - - - -
- -[pdf]: https://en.wikipedia.org/wiki/Probability_density_function - -[t-distribution]: https://en.wikipedia.org/wiki/Student%27s_t-distribution - -
- - diff --git a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/docs/img/equation_t_pdf.svg b/lib/node_modules/@stdlib/stats/base/dists/t/pdf/docs/img/equation_t_pdf.svg deleted file mode 100644 index d92b1e76aba4..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/docs/img/equation_t_pdf.svg +++ /dev/null @@ -1,81 +0,0 @@ - -StartStartFraction 1 OverOver StartRoot nu EndRoot upper B left-parenthesis one-half comma StartFraction nu Over 2 EndFraction right-parenthesis EndEndFraction left-parenthesis 1 plus StartFraction x squared Over nu EndFraction right-parenthesis Superscript minus StartFraction nu plus 1 Over 2 EndFraction - - - \ No newline at end of file diff --git a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dists/t/pdf/docs/repl.txt deleted file mode 100644 index 83f1f6113d65..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/docs/repl.txt +++ /dev/null @@ -1,61 +0,0 @@ - -{{alias}}( x, v ) - Evaluates the probability density function (PDF) for a Student's t - distribution with degrees of freedom `v` at a value `x`. - - If provided `NaN` as any argument, the function returns `NaN`. - - If provided a non-positive value for `v`, the function returns `NaN`. - - Parameters - ---------- - x: number - Input value. - - v: number - Degrees of freedom. - - Returns - ------- - out: number - Evaluated PDF. - - Examples - -------- - > var y = {{alias}}( 0.3, 4.0 ) - ~0.355 - > y = {{alias}}( 2.0, 0.7 ) - ~0.058 - > y = {{alias}}( -1.0, 0.5 ) - ~0.118 - > y = {{alias}}( 0.0, NaN ) - NaN - > y = {{alias}}( NaN, 2.0 ) - NaN - > y = {{alias}}( 2.0, -1.0 ) - NaN - - -{{alias}}.factory( v ) - Returns a function for evaluating the probability density function (PDF) - of a Student's t distribution with degrees of freedom `v`. - - Parameters - ---------- - v: number - Degrees of freedom. - - Returns - ------- - pdf: Function - Probability density function (PDF). - - Examples - -------- - > var myPDF = {{alias}}.factory( 3.0 ); - > var y = myPDF( 1.0 ) - ~0.207 - - See Also - -------- - diff --git a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/dists/t/pdf/docs/types/index.d.ts deleted file mode 100644 index a5062d13948b..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/docs/types/index.d.ts +++ /dev/null @@ -1,107 +0,0 @@ -/* -* @license Apache-2.0 -* -* Copyright (c) 2019 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 probability density function (PDF) for a Student's t distribution. -* -* @param x - input value -* @returns evaluated PDF -*/ -type Unary = ( x: number ) => number; - -/** -* Interface for the probability density function (PDF) of a Student's t distribution. -*/ -interface PDF { - /** - * Evaluates the probability density function (PDF) for a Student's t distribution with degrees of freedom `v` at a value `x`. - * - * ## Notes - * - * - If provided a non-positive value for `v`, the function returns `NaN`. - * - * @param x - input value - * @param v - degrees of freedom - * @returns evaluated PDF - * - * @example - * var y = pdf( 0.3, 4.0 ); - * // returns ~0.355 - * - * @example - * var y = pdf( 2.0, 0.7 ); - * // returns ~0.058 - * - * @example - * var y = pdf( -1.0, 0.5 ); - * // returns ~0.118 - * - * @example - * var y = pdf( 0.0, NaN ); - * // returns NaN - * - * @example - * var y = pdf( NaN, 2.0 ); - * // returns NaN - * - * @example - * var y = pdf( 2.0, -1.0 ); - * // returns NaN - */ - ( x: number, v: number ): number; - - /** - * Returns a function for evaluating the probability density function (PDF) for a Student's t distribution with `v` degrees of freedom. - * - * @param v - degrees of freedom - * @returns PDF - * - * @example - * var myPDF = pdf.factory( 1.0 ); - * var y = myPDF( 3.0 ); - * // returns ~0.032 - * - * y = myPDF( 1.0 ); - * // returns ~0.159 - */ - factory( v: number ): Unary; -} - -/** -* Student's t distribution probability density function (PDF). -* -* @param x - input value -* @param v - degrees of freedom -* @returns evaluated PDF -* -* @example -* var y = pdf( 3.0, 1.0 ); -* // returns ~0.032 -* -* var myPDF = pdf.factory( 3.0 ); -* y = myPDF( 1.0 ); -* // returns ~0.207 -*/ -declare var pdf: PDF; - - -// EXPORTS // - -export = pdf; diff --git a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/dists/t/pdf/docs/types/test.ts deleted file mode 100644 index c725758a8143..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/docs/types/test.ts +++ /dev/null @@ -1,98 +0,0 @@ -/* -* @license Apache-2.0 -* -* Copyright (c) 2019 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 pdf = require( './index' ); - - -// TESTS // - -// The function returns a number... -{ - pdf( 2, 4 ); // $ExpectType number - pdf( 1, 2 ); // $ExpectType number -} - -// The compiler throws an error if the function is provided values other than two numbers... -{ - pdf( true, 3 ); // $ExpectError - pdf( false, 2 ); // $ExpectError - pdf( '5', 1 ); // $ExpectError - pdf( [], 1 ); // $ExpectError - pdf( {}, 4 ); // $ExpectError - pdf( ( x: number ): number => x, 2 ); // $ExpectError - - pdf( 9, true ); // $ExpectError - pdf( 9, false ); // $ExpectError - pdf( 5, '5' ); // $ExpectError - pdf( 8, [] ); // $ExpectError - pdf( 9, {} ); // $ExpectError - pdf( 8, ( x: number ): number => x ); // $ExpectError -} - -// The compiler throws an error if the function is provided an unsupported number of arguments... -{ - pdf(); // $ExpectError - pdf( 2 ); // $ExpectError - pdf( 2, 0, 4 ); // $ExpectError -} - -// Attached to main export is a `factory` method which returns a function... -{ - pdf.factory( 4 ); // $ExpectType Unary -} - -// The `factory` method returns a function which returns a number... -{ - const fcn = pdf.factory( 4 ); - fcn( 2 ); // $ExpectType number -} - -// The compiler throws an error if the function returned by the `factory` method is provided an invalid argument... -{ - const fcn = pdf.factory( 4 ); - fcn( true ); // $ExpectError - fcn( false ); // $ExpectError - fcn( '5' ); // $ExpectError - fcn( [] ); // $ExpectError - fcn( {} ); // $ExpectError - fcn( ( x: number ): number => x ); // $ExpectError -} - -// The compiler throws an error if the function returned by the `factory` method is provided an unsupported number of arguments... -{ - const fcn = pdf.factory( 4 ); - fcn(); // $ExpectError - fcn( 2, 0 ); // $ExpectError - fcn( 2, 0, 1 ); // $ExpectError -} - -// The compiler throws an error if the `factory` method is provided a value other than a number... -{ - pdf.factory( true ); // $ExpectError - pdf.factory( false ); // $ExpectError - pdf.factory( '5' ); // $ExpectError - pdf.factory( [] ); // $ExpectError - pdf.factory( {} ); // $ExpectError - pdf.factory( ( x: number ): number => x ); // $ExpectError -} - -// The compiler throws an error if the `factory` method is provided an unsupported number of arguments... -{ - pdf.factory( 0, 2 ); // $ExpectError - pdf.factory( 0, 4, 8 ); // $ExpectError -} diff --git a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/lib/factory.js b/lib/node_modules/@stdlib/stats/base/dists/t/pdf/lib/factory.js deleted file mode 100644 index 9e76db45b641..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/lib/factory.js +++ /dev/null @@ -1,79 +0,0 @@ -/** -* @license Apache-2.0 -* -* Copyright (c) 2018 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 constantFunction = require( '@stdlib/utils/constant-function' ); -var isnan = require( '@stdlib/math/base/assert/is-nan' ); -var beta = require( '@stdlib/math/base/special/beta' ); -var sqrt = require( '@stdlib/math/base/special/sqrt' ); -var pow = require( '@stdlib/math/base/special/pow' ); - - -// MAIN // - -/** -* Returns a function for evaluating the probability density function (PDF) for a Student's t distribution with `v` degrees of freedom. -* -* @param {PositiveNumber} v - degrees of freedom -* @returns {Function} PDF -* -* @example -* var pdf = factory( 1.0 ); -* var y = pdf( 3.0 ); -* // returns ~0.032 -* -* y = pdf( 1.0 ); -* // returns ~0.159 -*/ -function factory( v ) { - var exponent; - var betaTerm; - - if ( isnan( v ) || v <= 0 ) { - return constantFunction( NaN ); - } - betaTerm = sqrt( v ) * beta( v/2.0, 0.5 ); - exponent = ( 1.0 + v ) / 2.0; - return pdf; - - /** - * Evaluates the probability density function (PDF) for a Student's t distribution. - * - * @private - * @param {number} x - input value - * @returns {number} evaluated PDF - * - * @example - * var y = pdf( 2.3 ); - * // returns - */ - function pdf( x ) { - if ( isnan( x ) ) { - return NaN; - } - return pow( v / ( v + pow( x, 2.0 ) ), exponent ) / betaTerm; - } -} - - -// EXPORTS // - -module.exports = factory; diff --git a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/lib/index.js b/lib/node_modules/@stdlib/stats/base/dists/t/pdf/lib/index.js deleted file mode 100644 index 68b3e06dfe7d..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/lib/index.js +++ /dev/null @@ -1,51 +0,0 @@ -/** -* @license Apache-2.0 -* -* Copyright (c) 2018 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'; - -/** -* Student's t distribution probability density function (PDF). -* -* @module @stdlib/stats/base/dists/t/pdf -* -* @example -* var pdf = require( '@stdlib/stats/base/dists/t/pdf' ); -* -* var y = pdf( 3.0, 1.0 ); -* // returns ~0.032 -* -* var myPDF = pdf.factory( 3.0 ); -* y = myPDF( 1.0 ); -* // returns ~0.207 -*/ - -// MODULES // - -var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' ); -var main = require( './main.js' ); -var factory = require( './factory.js' ); - - -// MAIN // - -setReadOnly( main, 'factory', factory ); - - -// EXPORTS // - -module.exports = main; diff --git a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/lib/main.js b/lib/node_modules/@stdlib/stats/base/dists/t/pdf/lib/main.js deleted file mode 100644 index ade5fb6ee4ea..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/lib/main.js +++ /dev/null @@ -1,78 +0,0 @@ -/** -* @license Apache-2.0 -* -* Copyright (c) 2018 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 isnan = require( '@stdlib/math/base/assert/is-nan' ); -var beta = require( '@stdlib/math/base/special/beta' ); -var sqrt = require( '@stdlib/math/base/special/sqrt' ); -var pow = require( '@stdlib/math/base/special/pow' ); - - -// MAIN // - -/** -* Evaluates the probability density function (PDF) for a Student's t distribution with degrees of freedom `v` at a value `x`. -* -* @param {number} x - input value -* @param {PositiveNumber} v - degrees of freedom -* @returns {number} evaluated PDF -* -* @example -* var y = pdf( 0.3, 4.0 ); -* // returns ~0.355 -* -* @example -* var y = pdf( 2.0, 0.7 ); -* // returns ~0.058 -* -* @example -* var y = pdf( -1.0, 0.5 ); -* // returns ~0.118 -* -* @example -* var y = pdf( 0.0, NaN ); -* // returns NaN -* -* @example -* var y = pdf( NaN, 2.0 ); -* // returns NaN -* -* @example -* var y = pdf( 2.0, -1.0 ); -* // returns NaN -*/ -function pdf( x, v ) { - var betaTerm; - if ( - isnan( x ) || - isnan( v ) || - v <= 0.0 - ) { - return NaN; - } - betaTerm = sqrt( v ) * beta( v/2.0, 0.5 ); - return pow( v / ( v + pow( x, 2.0 ) ), (1.0+v) / 2.0 ) / betaTerm; -} - - -// EXPORTS // - -module.exports = pdf; diff --git a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/package.json b/lib/node_modules/@stdlib/stats/base/dists/t/pdf/package.json deleted file mode 100644 index 3561ff7758ed..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/package.json +++ /dev/null @@ -1,68 +0,0 @@ -{ - "name": "@stdlib/stats/base/dists/t/pdf", - "version": "0.0.0", - "description": "Student's t distribution probability density function (PDF).", - "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", - "directories": { - "benchmark": "./benchmark", - "doc": "./docs", - "example": "./examples", - "lib": "./lib", - "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", - "statistics", - "stats", - "distribution", - "dist", - "probability", - "pdf", - "t", - "gosset", - "student", - "heavy-tailed", - "normal", - "univariate", - "continuous" - ] -} diff --git a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/test/fixtures/julia/REQUIRE b/lib/node_modules/@stdlib/stats/base/dists/t/pdf/test/fixtures/julia/REQUIRE deleted file mode 100644 index 98be20b58ed3..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/test/fixtures/julia/REQUIRE +++ /dev/null @@ -1,3 +0,0 @@ -Distributions 0.23.8 -julia 1.5 -JSON 0.21 diff --git a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/test/fixtures/julia/large_large.json b/lib/node_modules/@stdlib/stats/base/dists/t/pdf/test/fixtures/julia/large_large.json deleted file mode 100644 index 428aaa5788fb..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/test/fixtures/julia/large_large.json +++ /dev/null @@ -1 +0,0 @@ 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diff --git a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/test/fixtures/julia/large_small.json b/lib/node_modules/@stdlib/stats/base/dists/t/pdf/test/fixtures/julia/large_small.json deleted file mode 100644 index cb67995fbe7a..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/test/fixtures/julia/large_small.json +++ /dev/null @@ -1 +0,0 @@ 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diff --git a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/test/fixtures/julia/runner.jl b/lib/node_modules/@stdlib/stats/base/dists/t/pdf/test/fixtures/julia/runner.jl deleted file mode 100644 index e801d8885529..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/test/fixtures/julia/runner.jl +++ /dev/null @@ -1,88 +0,0 @@ -#!/usr/bin/env julia -# -# @license Apache-2.0 -# -# Copyright (c) 2018 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 Distributions: pdf, TDist -import JSON - -""" - gen( x, v, name ) - -Generate fixture data and write to file. - -# Arguments - -* `x`: input value -* `v`: degrees of freedom -* `name::AbstractString`: output filename - -# Examples - -``` julia -julia> x = range( -20, stop = 20, length = 1001 ); -julia> v = range( 1, stop = 10, length = 1001 ); -julia> gen( x, v, \"data.json\" ); -``` -""" -function gen( x, v, name ) - z = Array{Float64}( undef, length(x) ); - for i in eachindex(x) - z[ i ] = pdf( TDist( v[i] ), x[i] ); - end - - # Store data to be written to file as a collection: - data = Dict([ - ("x", x), - ("v", v), - ("expected", z) - ]); - - # Based on the script directory, create an output filepath: - filepath = joinpath( dir, name ); - - # Write the data to the output filepath as JSON: - outfile = open( filepath, "w" ); - write( outfile, JSON.json(data) ); - write( outfile, "\n" ); - close( outfile ); -end - -# Get the filename: -file = @__FILE__; - -# Extract the directory in which this file resides: -dir = dirname( file ); - -# Random (x small, v small): -x = ( rand( 1001 ) .* 2.0 ) .- 1.0; -v = rand( 1001 ) .* 2.0; -gen( x, v, "small_small.json" ); - -# Random (x large, v small): -x = ( rand( 1001 ) .* 20.0 ) .- 10.0; -v = rand( 1001 ) .* 2.0; -gen( x, v, "large_small.json" ); - -# Random (x small, v large): -x = ( rand( 1001 ) .* 2.0 ) .- 1.0; -v = rand( 1001 ) .* 20.0; -gen( x, v, "small_large.json" ); - -# Random (x large, v large): -x = ( rand( 1001 ) .* 20.0 ) .- 10.0; -v = rand( 1001 ) .* 20.0; -gen( x, v, "large_large.json" ); diff --git a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/test/fixtures/julia/small_large.json b/lib/node_modules/@stdlib/stats/base/dists/t/pdf/test/fixtures/julia/small_large.json deleted file mode 100644 index 5339adefbb6f..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/test/fixtures/julia/small_large.json +++ /dev/null @@ -1 +0,0 @@ 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diff --git a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/test/fixtures/julia/small_small.json b/lib/node_modules/@stdlib/stats/base/dists/t/pdf/test/fixtures/julia/small_small.json deleted file mode 100644 index d7ef1be089c7..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/test/fixtures/julia/small_small.json +++ /dev/null @@ -1 +0,0 @@ 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diff --git a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/test/test.factory.js b/lib/node_modules/@stdlib/stats/base/dists/t/pdf/test/test.factory.js deleted file mode 100644 index 0822495d977a..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/test/test.factory.js +++ /dev/null @@ -1,238 +0,0 @@ -/** -* @license Apache-2.0 -* -* Copyright (c) 2018 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 isnan = require( '@stdlib/math/base/assert/is-nan' ); -var abs = require( '@stdlib/math/base/special/abs' ); -var PINF = require( '@stdlib/constants/float64/pinf' ); -var NINF = require( '@stdlib/constants/float64/ninf' ); -var EPS = require( '@stdlib/constants/float64/eps' ); -var factory = require( './../lib/factory.js' ); - - -// FIXTURES // - -var smallSmall = require( './fixtures/julia/small_small.json' ); -var smallLarge = require( './fixtures/julia/small_large.json' ); -var largeSmall = require( './fixtures/julia/large_small.json' ); -var largeLarge = require( './fixtures/julia/large_large.json' ); - - -// TESTS // - -tape( 'main export is a function', function test( t ) { - t.ok( true, __filename ); - t.strictEqual( typeof factory, 'function', 'main export is a function' ); - t.end(); -}); - -tape( 'the function returns a function', function test( t ) { - var pdf = factory( 0.0, 1.0 ); - t.equal( typeof pdf, 'function', 'returns a function' ); - t.end(); -}); - -tape( 'if provided `NaN` for any parameter, the created function returns `NaN`', function test( t ) { - var pdf; - var y; - - pdf = factory( 1.0 ); - y = pdf( NaN ); - t.equal( isnan( y ), true, 'returns NaN' ); - - pdf = factory( NaN ); - y = pdf( 0.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); - - t.end(); -}); - -tape( 'if provided a finite `v`, the function returns a function which returns `0` when provided `+infinity` for `x`', function test( t ) { - var pdf; - var y; - - pdf = factory( 1.0 ); - y = pdf( PINF ); - t.equal( y, 0.0, 'returns 0' ); - - t.end(); -}); - -tape( 'if provided a finite `v`, the function returns a function which returns `0` when provided `-infinity` for `x`', function test( t ) { - var pdf; - var y; - - pdf = factory( 1.0 ); - y = pdf( NINF ); - t.equal( y, 0.0, 'returns 0' ); - - t.end(); -}); - -tape( 'if provided `+infinity` for `v`, the function returns a function which returns `NaN` for any `x`', function test( t ) { - var pdf; - var y; - - pdf = factory( PINF ); - - y = pdf( 0.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); - - y = pdf( NaN ); - t.equal( isnan( y ), true, 'returns NaN' ); - - y = pdf( PINF ); - t.equal( isnan( y ), true, 'returns NaN' ); - - y = pdf( NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); - - t.end(); -}); - -tape( 'if provided a nonpositive `v`, the created function always returns `NaN`', function test( t ) { - var pdf; - var y; - - pdf = factory( 0.0 ); - - y = pdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); - - pdf = factory( -1.0 ); - - y = pdf( 2.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); - - y = pdf( 0.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); - - t.end(); -}); - -tape( 'the created function evaluates the pdf for `x` given parameter `v` (when `x` and `v` are small)', function test( t ) { - var expected; - var delta; - var pdf; - var tol; - var i; - var v; - var x; - var y; - - expected = smallSmall.expected; - x = smallSmall.x; - v = smallSmall.v; - for ( i = 0; i < x.length; i++ ) { - pdf = factory( v[i] ); - y = pdf( x[i] ); - if ( y === expected[i] ) { - t.equal( y, expected[i], 'x: '+x[i]+'. v: '+v[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 10.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. v: '+v[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } - } - t.end(); -}); - -tape( 'the function evaluates the pdf for `x` given parameter `v` (when `x` is large and `v` small)', function test( t ) { - var expected; - var delta; - var pdf; - var tol; - var i; - var v; - var x; - var y; - - expected = largeSmall.expected; - x = largeSmall.x; - v = largeSmall.v; - for ( i = 0; i < x.length; i++ ) { - pdf = factory( v[i] ); - y = pdf( x[i] ); - if ( y === expected[i] ) { - t.equal( y, expected[i], 'x: '+x[i]+'. v: '+v[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 10.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. v: '+v[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } - } - t.end(); -}); - -tape( 'the function evaluates the pdf for `x` given parameter `v` (when `x` is small and `v` large)', function test( t ) { - var expected; - var delta; - var pdf; - var tol; - var i; - var v; - var x; - var y; - - expected = smallLarge.expected; - x = smallLarge.x; - v = smallLarge.v; - for ( i = 0; i < x.length; i++ ) { - pdf = factory( v[i] ); - y = pdf( x[i] ); - if ( y === expected[i] ) { - t.equal( y, expected[i], 'x: '+x[i]+'. v: '+v[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 40.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. v: '+v[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } - } - t.end(); -}); - -tape( 'the function evaluates the pdf for `x` given parameter `v` (when `x` and `v` are large)', function test( t ) { - var expected; - var delta; - var pdf; - var tol; - var i; - var v; - var x; - var y; - - expected = largeLarge.expected; - x = largeLarge.x; - v = largeLarge.v; - for ( i = 0; i < x.length; i++ ) { - pdf = factory( v[i] ); - y = pdf( x[i] ); - if ( y === expected[i] ) { - t.equal( y, expected[i], 'x: '+x[i]+'. v: '+v[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 40.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. v: '+v[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } - } - t.end(); -}); diff --git a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/test/test.pdf.js b/lib/node_modules/@stdlib/stats/base/dists/t/pdf/test/test.pdf.js deleted file mode 100644 index a5586b1caa8c..000000000000 --- a/lib/node_modules/@stdlib/stats/base/dists/t/pdf/test/test.pdf.js +++ /dev/null @@ -1,202 +0,0 @@ -/** -* @license Apache-2.0 -* -* Copyright (c) 2018 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 isnan = require( '@stdlib/math/base/assert/is-nan' ); -var abs = require( '@stdlib/math/base/special/abs' ); -var PINF = require( '@stdlib/constants/float64/pinf' ); -var NINF = require( '@stdlib/constants/float64/ninf' ); -var EPS = require( '@stdlib/constants/float64/eps' ); -var pdf = require( './../lib' ); - - -// FIXTURES // - -var smallSmall = require( './fixtures/julia/small_small.json' ); -var smallLarge = require( './fixtures/julia/small_large.json' ); -var largeSmall = require( './fixtures/julia/large_small.json' ); -var largeLarge = require( './fixtures/julia/large_large.json' ); - - -// TESTS // - -tape( 'main export is a function', function test( t ) { - t.ok( true, __filename ); - t.strictEqual( typeof pdf, 'function', 'main export is a function' ); - t.end(); -}); - -tape( 'if provided `NaN` for any parameter, the function returns `NaN`', function test( t ) { - var y = pdf( NaN, 1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); - y = pdf( 0.0, NaN ); - t.equal( isnan( y ), true, 'returns NaN' ); - t.end(); -}); - -tape( 'if provided `+infinity` for `x` and a finite `v`, the function returns `0`', function test( t ) { - var y = pdf( PINF, 1.0 ); - t.equal( y, 0.0, 'returns 0' ); - t.end(); -}); - -tape( 'if provided `-infinity` for `x` and a finite `v`, the function returns `0`', function test( t ) { - var y = pdf( NINF, 1.0 ); - t.equal( y, 0.0, 'returns 0' ); - t.end(); -}); - -tape( 'if provided `+infinity` for `v`, the function returns `NaN`', function test( t ) { - var y; - - y = pdf( 0.0, PINF ); - t.equal( isnan( y ), true, 'returns NaN' ); - - y = pdf( NaN, PINF ); - t.equal( isnan( y ), true, 'returns NaN' ); - - y = pdf( PINF, PINF ); - t.equal( isnan( y ), true, 'returns NaN' ); - - y = pdf( NINF, PINF ); - t.equal( isnan( y ), true, 'returns NaN' ); - - t.end(); -}); - -tape( 'if provided a nonpositive `v`, the function always returns `NaN`', function test( t ) { - var y; - - y = pdf( 2.0, 0.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); - - y = pdf( 2.0, -1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); - - y = pdf( 0.0, -1.0 ); - t.equal( isnan( y ), true, 'returns NaN' ); - - y = pdf( 2.0, NINF ); - t.equal( isnan( y ), true, 'returns NaN' ); - - t.end(); -}); - -tape( 'the function evaluates the pdf for `x` given parameter `v` (when `x` and `v` are small)', function test( t ) { - var expected; - var delta; - var tol; - var x; - var v; - var y; - var i; - - expected = smallSmall.expected; - x = smallSmall.x; - v = smallSmall.v; - for ( i = 0; i < x.length; i++ ) { - y = pdf( x[i], v[i] ); - if ( y === expected[i] ) { - t.equal( y, expected[i], 'x: '+x[i]+'. v: '+v[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 10.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. v: '+v[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } - } - t.end(); -}); - -tape( 'the function evaluates the pdf for `x` given parameter `v` (when `x` is large and `v` small)', function test( t ) { - var expected; - var delta; - var tol; - var x; - var v; - var y; - var i; - - expected = largeSmall.expected; - x = largeSmall.x; - v = largeSmall.v; - for ( i = 0; i < x.length; i++ ) { - y = pdf( x[i], v[i] ); - if ( y === expected[i] ) { - t.equal( y, expected[i], 'x: '+x[i]+'. v: '+v[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 10.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. v: '+v[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } - } - t.end(); -}); - -tape( 'the function evaluates the pdf for `x` given parameter `v` (when `x` is small and `v` large)', function test( t ) { - var expected; - var delta; - var tol; - var x; - var v; - var y; - var i; - - expected = smallLarge.expected; - x = smallLarge.x; - v = smallLarge.v; - for ( i = 0; i < x.length; i++ ) { - y = pdf( x[i], v[i] ); - if ( y === expected[i] ) { - t.equal( y, expected[i], 'x: '+x[i]+'. v: '+v[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 40.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. v: '+v[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } - } - t.end(); -}); - -tape( 'the function evaluates the pdf for `x` given parameter `v` (when `x` and `v` are large)', function test( t ) { - var expected; - var delta; - var tol; - var x; - var v; - var y; - var i; - - expected = largeLarge.expected; - x = largeLarge.x; - v = largeLarge.v; - for ( i = 0; i < x.length; i++ ) { - y = pdf( x[i], v[i] ); - if ( y === expected[i] ) { - t.equal( y, expected[i], 'x: '+x[i]+'. v: '+v[i]+', y: '+y+', expected: '+expected[i] ); - } else { - delta = abs( y - expected[ i ] ); - tol = 40.0 * EPS * abs( expected[ i ] ); - t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. v: '+v[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' ); - } - } - t.end(); -});