diff --git a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/lib/factory.js b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/lib/factory.js index 19d327b0609a..b16c956afeb6 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/lib/factory.js +++ b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/lib/factory.js @@ -22,7 +22,10 @@ var constantFunction = require( '@stdlib/utils/constant-function' ); var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var expm1 = require( '@stdlib/math/base/special/expm1' ); +var log1p = require( '@stdlib/math/base/special/log1p' ); var pow = require( '@stdlib/math/base/special/pow' ); +var ln = require( '@stdlib/math/base/special/ln' ); // MAIN // @@ -66,6 +69,7 @@ function factory( a, b ) { * // returns */ function cdf( x ) { + var u; if ( isnan( x ) ) { return NaN; } @@ -75,7 +79,11 @@ function factory( a, b ) { if ( x >= 1.0 ) { return 1.0; } - return 1.0 - pow( 1.0 - pow( x, a ), b ); + u = pow( x, a ); + if ( u < 0.5 ) { + return -expm1( b * log1p( -u ) ); + } + return -expm1( b * ln( -expm1( a * ln( x ) ) ) ); } } diff --git a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/lib/main.js b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/lib/main.js index b76aa3d3ba82..7e4b90693fe6 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/lib/main.js +++ b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/lib/main.js @@ -21,7 +21,10 @@ // MODULES // var isnan = require( '@stdlib/math/base/assert/is-nan' ); +var expm1 = require( '@stdlib/math/base/special/expm1' ); +var log1p = require( '@stdlib/math/base/special/log1p' ); var pow = require( '@stdlib/math/base/special/pow' ); +var ln = require( '@stdlib/math/base/special/ln' ); // MAIN // @@ -79,6 +82,7 @@ var pow = require( '@stdlib/math/base/special/pow' ); * // returns NaN */ function cdf( x, a, b ) { + var u; if ( isnan( x ) || isnan( a ) || @@ -94,7 +98,11 @@ function cdf( x, a, b ) { if ( x >= 1.0 ) { return 1.0; } - return 1.0 - pow( 1.0 - pow( x, a ), b ); + u = pow( x, a ); + if ( u < 0.5 ) { + return -expm1( b * log1p( -u ) ); + } + return -expm1( b * ln( -expm1( a * ln( x ) ) ) ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/manifest.json b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/manifest.json index 1948e3f70cb3..0325137ca63b 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/manifest.json +++ b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/manifest.json @@ -40,7 +40,10 @@ "dependencies": [ "@stdlib/math/base/napi/ternary", "@stdlib/math/base/assert/is-nan", - "@stdlib/math/base/special/pow" + "@stdlib/math/base/special/expm1", + "@stdlib/math/base/special/log1p", + "@stdlib/math/base/special/pow", + "@stdlib/math/base/special/ln" ] }, { @@ -56,7 +59,10 @@ "libpath": [], "dependencies": [ "@stdlib/math/base/assert/is-nan", + "@stdlib/math/base/special/expm1", + "@stdlib/math/base/special/log1p", "@stdlib/math/base/special/pow", + "@stdlib/math/base/special/ln", "@stdlib/constants/float64/eps" ] }, @@ -73,7 +79,10 @@ "libpath": [], "dependencies": [ "@stdlib/math/base/assert/is-nan", + "@stdlib/math/base/special/expm1", + "@stdlib/math/base/special/log1p", "@stdlib/math/base/special/pow", + "@stdlib/math/base/special/ln", "@stdlib/constants/float64/eps" ] } diff --git a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/src/main.c b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/src/main.c index ad6d6dc93a52..1c18932f9ba8 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/src/main.c +++ b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/src/main.c @@ -18,7 +18,10 @@ #include "stdlib/stats/base/dists/kumaraswamy/cdf.h" #include "stdlib/math/base/assert/is_nan.h" +#include "stdlib/math/base/special/expm1.h" +#include "stdlib/math/base/special/log1p.h" #include "stdlib/math/base/special/pow.h" +#include "stdlib/math/base/special/ln.h" /** * Evaluates the cumulative distribution function (CDF) for a Kumaraswamy's double bounded distribution with first shape parameter `a` and second shape parameter `b` at a value `x`. @@ -33,6 +36,7 @@ * // returns ~0.5 */ double stdlib_base_dists_kumaraswamy_cdf( const double x, const double a, const double b ) { + double u; if ( stdlib_base_is_nan( x ) || stdlib_base_is_nan( a ) || @@ -48,5 +52,9 @@ double stdlib_base_dists_kumaraswamy_cdf( const double x, const double a, const if ( x >= 1.0 ) { return 1.0; } - return 1.0 - stdlib_base_pow( 1.0 - stdlib_base_pow( x, a ), b ); + u = stdlib_base_pow( x, a ); + if ( u < 0.5 ) { + return -stdlib_base_expm1( b * stdlib_base_log1p( -u ) ); + } + return -stdlib_base_expm1( b * stdlib_base_ln( -stdlib_base_expm1( a * stdlib_base_ln( x ) ) ) ); } diff --git a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/test/fixtures/julia/REQUIRE b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/test/fixtures/julia/REQUIRE new file mode 100644 index 000000000000..308c3be89c85 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/test/fixtures/julia/REQUIRE @@ -0,0 +1,2 @@ +julia 1.5 +JSON 0.21 diff --git a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/test/fixtures/julia/data.json b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/test/fixtures/julia/data.json new file mode 100644 index 000000000000..b85c0cb27e4f --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/test/fixtures/julia/data.json @@ -0,0 +1 @@ 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diff --git a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/test/fixtures/julia/large_x.json b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/test/fixtures/julia/large_x.json new file mode 100644 index 000000000000..1b7f13a7a4a8 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/test/fixtures/julia/large_x.json @@ -0,0 +1 @@ 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diff --git a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/test/fixtures/julia/runner.jl b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/test/fixtures/julia/runner.jl new file mode 100644 index 000000000000..ecf612e58551 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/test/fixtures/julia/runner.jl @@ -0,0 +1,80 @@ +#!/usr/bin/env julia +# +# @license Apache-2.0 +# +# Copyright (c) 2026 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 JSON + +""" + gen( x, a, b, name ) + +Generate fixture data and write to file. + +The CDF is evaluated in extended precision from the textbook formula `1 - (1 - x^a)^b`, as forming `1 - x^a` in double precision rounds away the low-order bits of `x^a` (all of them for `x^a < 2^-53`). + +# Arguments + +* `x`: input value +* `a`: first shape parameter +* `b`: second shape parameter +* `name::AbstractString`: output filename +""" +function gen( x, a, b, name ) + z = setprecision( BigFloat, 2048 ) do + Float64.( 1 .- ( 1 .- BigFloat.( x ) .^ BigFloat.( a ) ) .^ BigFloat.( b ) ) + end + + # Store data to be written to file as a collection: + data = Dict([ + ("x", x), + ("a", a), + ("b", b), + ("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 values: +x = rand( 1000 ); +a = ( rand( 1000 ) .* 5.0 ) .+ 0.5; +b = ( rand( 1000 ) .* 5.0 ) .+ 0.5; +gen( x, a, b, "data.json" ); + +# Small `x`: +x = exp10.( range( -100.0, stop = -1.0, length = 1000 ) ); +a = ( rand( 1000 ) .* 5.0 ) .+ 0.5; +b = ( rand( 1000 ) .* 5.0 ) .+ 0.5; +gen( x, a, b, "small_x.json" ); + +# `x` close to `1`: +x = 1.0 .- exp10.( range( -16.0, stop = -1.0, length = 1000 ) ); +a = ( rand( 1000 ) .* 5.0 ) .+ 0.5; +b = ( rand( 1000 ) .* 5.0 ) .+ 0.5; +gen( x, a, b, "large_x.json" ); diff --git a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/test/fixtures/julia/small_x.json b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/test/fixtures/julia/small_x.json new file mode 100644 index 000000000000..17e4c1f69a77 --- /dev/null +++ b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/test/fixtures/julia/small_x.json @@ -0,0 +1 @@ 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diff --git a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/test/test.cdf.js b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/test/test.cdf.js index a67260194a87..2883374a3123 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/test/test.cdf.js +++ b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/test/test.cdf.js @@ -21,15 +21,20 @@ // MODULES // var tape = require( 'tape' ); -var isNumber = require( '@stdlib/assert/is-number' ).isPrimitive; var isnan = require( '@stdlib/math/base/assert/is-nan' ); -var randu = require( '@stdlib/random/base/randu' ); +var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' ); var PINF = require( '@stdlib/constants/float64/pinf' ); var NINF = require( '@stdlib/constants/float64/ninf' ); -var EPS = require( '@stdlib/constants/float64/eps' ); var cdf = require( './../lib' ); +// FIXTURES // + +var data = require( './fixtures/julia/data.json' ); +var smallX = require( './fixtures/julia/small_x.json' ); +var largeX = require( './fixtures/julia/large_x.json' ); + + // TESTS // tape( 'main export is a function', function test( t ) { @@ -134,20 +139,59 @@ tape( 'if provided a nonpositive `b`, the function returns `NaN`', function test t.end(); }); -tape( 'the function evaluates the cdf of a Kumaraswamy\'s double bounded distribution', function test( t ) { +tape( 'the function evaluates the cdf for random `x`, `a` and `b`', function test( t ) { + var expected; var a; var b; + var i; var x; var y; + + expected = data.expected; + x = data.x; + a = data.a; + b = data.b; + for ( i = 0; i < expected.length; i++ ) { + y = cdf( x[i], a[i], b[i] ); + t.strictEqual( isAlmostSameValue( y, expected[ i ], 2 ), true, 'returns expected value' ); + } + t.end(); +}); + +tape( 'the function evaluates the cdf for small `x`', function test( t ) { + var expected; + var a; + var b; var i; + var x; + var y; + + expected = smallX.expected; + x = smallX.x; + a = smallX.a; + b = smallX.b; + for ( i = 0; i < expected.length; i++ ) { + y = cdf( x[i], a[i], b[i] ); + t.strictEqual( isAlmostSameValue( y, expected[ i ], 2 ), true, 'returns expected value' ); + } + t.end(); +}); + +tape( 'the function evaluates the cdf for `x` close to `1`', function test( t ) { + var expected; + var a; + var b; + var i; + var x; + var y; - // TODO: Add fixtures - for ( i = 0; i < 100; i++ ) { - x = randu(); - a = ( randu()*5.0 ) + EPS; - b = ( randu()*5.0 ) + EPS; - y = cdf( x, a, b ); - t.strictEqual( isNumber( y ), true, 'returns expected value' ); + expected = largeX.expected; + x = largeX.x; + a = largeX.a; + b = largeX.b; + for ( i = 0; i < expected.length; i++ ) { + y = cdf( x[i], a[i], b[i] ); + t.strictEqual( isAlmostSameValue( y, expected[ i ], 2 ), true, 'returns expected value' ); } t.end(); }); diff --git a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/test/test.factory.js b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/test/test.factory.js index 388d614c3e0f..5aaeb116f1a8 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/test/test.factory.js +++ b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/test/test.factory.js @@ -21,15 +21,20 @@ // MODULES // var tape = require( 'tape' ); -var isNumber = require( '@stdlib/assert/is-number' ).isPrimitive; var isnan = require( '@stdlib/math/base/assert/is-nan' ); -var randu = require( '@stdlib/random/base/randu' ); +var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' ); 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 data = require( './fixtures/julia/data.json' ); +var smallX = require( './fixtures/julia/small_x.json' ); +var largeX = require( './fixtures/julia/large_x.json' ); + + // TESTS // tape( 'main export is a function', function test( t ) { @@ -186,22 +191,65 @@ tape( 'if provided a nonpositive `a`, the created function always returns `NaN`' t.end(); }); -tape( 'the returned function evaluates the cdf of a Kumaraswamy\'s double bounded distribution', function test( t ) { +tape( 'the created function evaluates the cdf for random `x`, `a` and `b`', function test( t ) { + var expected; var cdf; var a; var b; + var i; var x; var y; + + expected = data.expected; + x = data.x; + a = data.a; + b = data.b; + for ( i = 0; i < expected.length; i++ ) { + cdf = factory( a[i], b[i] ); + y = cdf( x[i] ); + t.strictEqual( isAlmostSameValue( y, expected[ i ], 2 ), true, 'returns expected value' ); + } + t.end(); +}); + +tape( 'the created function evaluates the cdf for small `x`', function test( t ) { + var expected; + var cdf; + var a; + var b; var i; + var x; + var y; + + expected = smallX.expected; + x = smallX.x; + a = smallX.a; + b = smallX.b; + for ( i = 0; i < expected.length; i++ ) { + cdf = factory( a[i], b[i] ); + y = cdf( x[i] ); + t.strictEqual( isAlmostSameValue( y, expected[ i ], 2 ), true, 'returns expected value' ); + } + t.end(); +}); + +tape( 'the created function evaluates the cdf for `x` close to `1`', function test( t ) { + var expected; + var cdf; + var a; + var b; + var i; + var x; + var y; - // TODO: Add fixtures - a = ( randu()*5.0 ) + EPS; - b = ( randu()*5.0 ) + EPS; - cdf = factory( a, b ); - for ( i = 0; i < 100; i++ ) { - x = randu(); - y = cdf( x, a, b ); - t.strictEqual( isNumber( y ), true, 'returns expected value' ); + expected = largeX.expected; + x = largeX.x; + a = largeX.a; + b = largeX.b; + for ( i = 0; i < expected.length; i++ ) { + cdf = factory( a[i], b[i] ); + y = cdf( x[i] ); + t.strictEqual( isAlmostSameValue( y, expected[ i ], 2 ), true, 'returns expected value' ); } t.end(); }); diff --git a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/test/test.native.js index 548c18839842..79a1b20138b6 100644 --- a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/test/test.native.js +++ b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/cdf/test/test.native.js @@ -23,12 +23,17 @@ var resolve = require( 'path' ).resolve; var tape = require( 'tape' ); var tryRequire = require( '@stdlib/utils/try-require' ); -var isNumber = require( '@stdlib/assert/is-number' ).isPrimitive; var isnan = require( '@stdlib/math/base/assert/is-nan' ); -var randu = require( '@stdlib/random/base/randu' ); +var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' ); var PINF = require( '@stdlib/constants/float64/pinf' ); var NINF = require( '@stdlib/constants/float64/ninf' ); -var EPS = require( '@stdlib/constants/float64/eps' ); + + +// FIXTURES // + +var data = require( './fixtures/julia/data.json' ); +var smallX = require( './fixtures/julia/small_x.json' ); +var largeX = require( './fixtures/julia/large_x.json' ); // VARIABLES // @@ -143,19 +148,59 @@ tape( 'if provided a nonpositive `b`, the function returns `NaN`', opts, functio t.end(); }); -tape( 'the function evaluates the cdf of a Kumaraswamy\'s double bounded distribution', opts, function test( t ) { +tape( 'the function evaluates the cdf for random `x`, `a` and `b`', opts, function test( t ) { + var expected; var a; var b; + var i; var x; var y; + + expected = data.expected; + x = data.x; + a = data.a; + b = data.b; + for ( i = 0; i < expected.length; i++ ) { + y = cdf( x[i], a[i], b[i] ); + t.strictEqual( isAlmostSameValue( y, expected[ i ], 2 ), true, 'returns expected value' ); + } + t.end(); +}); + +tape( 'the function evaluates the cdf for small `x`', opts, function test( t ) { + var expected; + var a; + var b; var i; + var x; + var y; + + expected = smallX.expected; + x = smallX.x; + a = smallX.a; + b = smallX.b; + for ( i = 0; i < expected.length; i++ ) { + y = cdf( x[i], a[i], b[i] ); + t.strictEqual( isAlmostSameValue( y, expected[ i ], 2 ), true, 'returns expected value' ); + } + t.end(); +}); + +tape( 'the function evaluates the cdf for `x` close to `1`', opts, function test( t ) { + var expected; + var a; + var b; + var i; + var x; + var y; - for ( i = 0; i < 100; i++ ) { - x = randu(); - a = ( randu()*5.0 ) + EPS; - b = ( randu()*5.0 ) + EPS; - y = cdf( x, a, b ); - t.strictEqual( isNumber( y ), true, 'returns expected value' ); + expected = largeX.expected; + x = largeX.x; + a = largeX.a; + b = largeX.b; + for ( i = 0; i < expected.length; i++ ) { + y = cdf( x[i], a[i], b[i] ); + t.strictEqual( isAlmostSameValue( y, expected[ i ], 2 ), true, 'returns expected value' ); } t.end(); });