+
+int main( void ) {
+ const float x[] = { -5.0f, -3.89f, -2.78f, -1.67f, -0.55f, 0.55f, 1.67f, 2.78f, 3.89f, 5.0f };
+
+ float v;
+ int i;
+ for ( i = 0; i < 10; i++ ) {
+ v = stdlib_base_acschf( x[ i ] );
+ printf( "acschf(%f) = %f\n", x[ i ], v );
+ }
+}
diff --git a/lib/node_modules/@stdlib/math/base/special/acschf/examples/index.js b/lib/node_modules/@stdlib/math/base/special/acschf/examples/index.js
new file mode 100644
index 000000000000..7af70e55ff60
--- /dev/null
+++ b/lib/node_modules/@stdlib/math/base/special/acschf/examples/index.js
@@ -0,0 +1,29 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+var uniform = require( '@stdlib/random/array/uniform' );
+var logEachMap = require( '@stdlib/console/log-each-map' );
+var acschf = require( './../lib' );
+
+var x = uniform( 100, 1.0, 5.0, {
+ 'dtype': 'float32'
+});
+
+logEachMap( 'acschf(%0.4f) = %0.4f', x, acschf );
diff --git a/lib/node_modules/@stdlib/math/base/special/acschf/include.gypi b/lib/node_modules/@stdlib/math/base/special/acschf/include.gypi
new file mode 100644
index 000000000000..bee8d41a2caf
--- /dev/null
+++ b/lib/node_modules/@stdlib/math/base/special/acschf/include.gypi
@@ -0,0 +1,53 @@
+# @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.
+
+# 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': [
+ '=0.10.0",
+ "npm": ">2.7.0"
+ },
+ "os": [
+ "aix",
+ "darwin",
+ "freebsd",
+ "linux",
+ "macos",
+ "openbsd",
+ "sunos",
+ "win32",
+ "windows"
+ ],
+ "keywords": [
+ "stdlib",
+ "stdmath",
+ "mathematics",
+ "math",
+ "acschf",
+ "hyperbolic",
+ "inverse",
+ "cosecant",
+ "csc",
+ "arc",
+ "arccosecant",
+ "trig",
+ "trigonometry",
+ "angle"
+ ],
+ "__stdlib__": {
+ "scaffold": {
+ "$schema": "math/base@v1.0",
+ "base_alias": "acsch",
+ "alias": "acschf",
+ "pkg_desc": "compute the hyperbolic arccosecant of a single-precision floating-point number",
+ "desc": "computes the hyperbolic arccosecant of a single-precision floating-point number",
+ "short_desc": "hyperbolic arccosecant",
+ "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": [
+ 0.5,
+ 5
+ ]
+ },
+ "example_values": [
+ -5,
+ -3.7,
+ -2.9,
+ -2.1,
+ -1.7,
+ -1.3,
+ -1.1,
+ -0.7,
+ -0.51,
+ -0.25,
+ 0.25,
+ 0.51,
+ 0.7,
+ 1.1,
+ 1.3,
+ 1.7,
+ 2.1,
+ 2.9,
+ 3.7,
+ 5
+ ]
+ }
+ ],
+ "output_policy": "real_floating_point_and_generic",
+ "returns": {
+ "desc": "hyperbolic arccosecant",
+ "type": {
+ "javascript": "number",
+ "jsdoc": "number",
+ "c": "float",
+ "dtype": "float32"
+ }
+ },
+ "keywords": [
+ "acsch",
+ "hyperbolic",
+ "inverse",
+ "cosecant",
+ "csc",
+ "arc",
+ "arccosecant",
+ "angle",
+ "asinh"
+ ],
+ "extra_keywords": [
+ "math.asinh"
+ ]
+ }
+ }
+}
diff --git a/lib/node_modules/@stdlib/math/base/special/acschf/src/Makefile b/lib/node_modules/@stdlib/math/base/special/acschf/src/Makefile
new file mode 100644
index 000000000000..2caf905cedbe
--- /dev/null
+++ b/lib/node_modules/@stdlib/math/base/special/acschf/src/Makefile
@@ -0,0 +1,70 @@
+#/
+# @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.
+#/
+
+# 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/acschf/src/addon.c b/lib/node_modules/@stdlib/math/base/special/acschf/src/addon.c
new file mode 100644
index 000000000000..b88ead99283d
--- /dev/null
+++ b/lib/node_modules/@stdlib/math/base/special/acschf/src/addon.c
@@ -0,0 +1,22 @@
+/**
+* @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.
+*/
+
+#include "stdlib/math/base/special/acschf.h"
+#include "stdlib/math/base/napi/unary.h"
+
+STDLIB_MATH_BASE_NAPI_MODULE_F_F( stdlib_base_acschf )
diff --git a/lib/node_modules/@stdlib/math/base/special/acschf/src/main.c b/lib/node_modules/@stdlib/math/base/special/acschf/src/main.c
new file mode 100644
index 000000000000..021666610d4a
--- /dev/null
+++ b/lib/node_modules/@stdlib/math/base/special/acschf/src/main.c
@@ -0,0 +1,34 @@
+/**
+* @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.
+*/
+
+#include "stdlib/math/base/special/acschf.h"
+#include "stdlib/math/base/special/asinhf.h"
+
+/**
+* Computes the hyperbolic arccosecant of a single-precision floating-point number.
+*
+* @param x input value
+* @return output value
+*
+* @example
+* float out = stdlib_base_acschf( 1.0f );
+* // returns ~0.881f
+*/
+float stdlib_base_acschf( const float x ) {
+ return stdlib_base_asinhf( 1.0f / x );
+}
diff --git a/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/REQUIRE b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/REQUIRE
new file mode 100644
index 000000000000..308c3be89c85
--- /dev/null
+++ b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/REQUIRE
@@ -0,0 +1,2 @@
+julia 1.5
+JSON 0.21
diff --git a/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/huge_negative.json b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/huge_negative.json
new file mode 100644
index 000000000000..ada599e16e22
--- /dev/null
+++ b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/huge_negative.json
@@ -0,0 +1 @@
+{"expected":[-1.0e-200,-5.019974849926002e-206,-2.509993725015688e-206,-1.6733305500268516e-206,-1.2549984375269452e-206,-1.003999002024992e-206,-8.36665975022794e-207,-7.171423500207668e-207,-6.274996125189893e-207,-5.5777747223967364e-207,-5.0199975301612156e-207,-4.563634326595951e-207,-4.1833316251395865e-207,-3.8615370090064635e-207,-3.58571303583717e-207,-3.3466655801159086e-207,-3.1374990469846644e-207,-2.9529403340140812e-207,-2.7888881389878562e-207,-2.642104591507096e-207,-2.5099993950901458e-207,-2.3904756429434362e-207,-2.281817683967051e-207,-2.1826082411002838e-207,-2.091666250076472e-207,-2.0079996168736732e-207,-1.9307688772900055e-207,-1.85925893216741e-207,-1.7928568393520922e-207,-1.7310342004209735e-207,-1.6733330700622636e-207,-1.619354592672254e-207,-1.5687497695898776e-207,-1.5212119050156414e-207,-1.4764703850034883e-207,-1.4342855229110461e-207,-1.3944442639413815e-207,-1.3567565862454559e-207,-1.3210524702714879e-207,-1.287179334368197e-207,-1.2549998550475168e-207,-1.2243901062332101e-207,-1.1952379643310801e-207,-1.1674417358474984e-207,-1.1409089721508387e-207,-1.1155554422647029e-207,-1.0913042396446232e-207,-1.0680850029832605e-207,-1.04583323441494e-207,-1.0244897012053398e-207,-1.0039999092384082e-207,-9.8431363844599e-208,-9.653845318417232e-208,-9.471697310793945e-208,-9.296295525048076e-208,-9.127271985474441e-208,-8.964285000344445e-208,-8.807016856294298e-208,-8.655171751224783e-208,-8.508473937414584e-208,-8.366666050322268e-208,-8.229507601768385e-208,-8.096773618938647e-208,-7.968253413005834e-208,-7.843749463193396e-208,-7.723076403848556e-208,-7.606060103599666e-208,-7.492536826977087e-208,-7.382352470008681e-208,-7.275361862285264e-208,-7.171428128849008e-208,-7.07042210600677e-208,-6.972221805825642e-208,-6.876711924642546e-208,-6.7837833914244195e-208,-6.693332952259577e-208,-6.605262787652375e-208,-6.519480159639082e-208,-6.435897086048672e-208,-6.354430039503303e-208,-6.274999668993768e-208,-6.197530542078969e-208,-6.1219509059488565e-208,-6.048192465759923e-208,-5.976190178803869e-208,-5.90588206320555e-208,-5.837209019967563e-208,-5.770114667287634e-208,-5.704545186172533e-208,-5.640449176460055e-208,-5.577777522439518e-208,-5.516483267332459e-208,-5.456521495959368e-208,-5.397849224976309e-208,-5.340425300117711e-208,-5.284210299929096e-208,-5.229166445516502e-208,-5.175257515878423e-208,-5.122448768421499e-208,-5.070706864293447e-208,-5.019999798196008e-208,-4.970296832367423e-208,-4.921568434448297e-208,-4.8737862189669224e-208,-4.826922892200451e-208,-4.780952200186855e-208,-4.7358488796796086e-208,-4.691588611852571e-208,-4.648147978576824e-208,-4.60550442110429e-208,-4.563636201004964e-208,-4.522522363215654e-208,-4.482142701068245e-208,-4.442477723174882e-208,-4.403508622056022e-208,-4.365217244405298e-208,-4.3275860628923946e-208,-4.290598149411941e-208,-4.254237149692622e-208,-4.218487259186503e-208,-4.183333200163893e-208,-4.1487601999439965e-208,-4.114753970196188e-208,-4.0813006872509785e-208,-4.048386973363687e-208,-4.015999878877444e-208,-3.9841268652355795e-208,-3.952755788796581e-208,-3.921874885407718e-208,-3.8914727556961756e-208,-3.8615383510390566e-208,-3.832060960175984e-208,-3.8030301964302143e-208,-3.77443598550625e-208,-3.746268553833819e-208,-3.718518417429907e-208,-3.6911763712521655e-208,-3.6642334790185974e-208,-3.637681063469862e-208,-3.6115106970519154e-208,-3.5857141929979613e-208,-3.560283596789902e-208,-3.5352111779805616e-208,-3.5104894223590417e-208,-3.4861110244425173e-208,-3.462068880278718e-208,-3.438356080544194e-208,-3.4149659039242926e-208,-3.3918918107615066e-208,-3.3691274369595984e-208,-3.3466665881315573e-208,-3.3245032339800905e-208,-3.3026315028999326e-208,-3.281045676791834e-208,-3.2597401860785986e-208,-3.2387096049140495e-208,-3.2179486465762673e-208,-3.1974521590368795e-208,-3.1772151206986077e-208,-3.157232636293661e-208,-3.1374999329359393e-208,-3.1180123563203596e-208,-3.0987653670629493e-208,-3.0797545371756573e-208,-3.0609755466701383e-208,-3.0424241802850332e-208,-3.024096324331544e-208,-3.005987963652337e-208,-2.98809517868906e-208,-2.9704141426539696e-208,-2.952941118801385e-208,-2.9356724577948783e-208,-2.918604595166307e-208,-2.9017340488629767e-208,-2.8850574168793775e-208,-2.8685713749701234e-208,-2.8522726744408582e-208,-2.8361581400140456e-208,-2.820224667766697e-208,-2.8044692231372315e-208,-2.7888888389987665e-208,-2.7734806137962833e-208,-2.7582417097452006e-208,-2.7431693510890154e-208,-2.7282608224137533e-208,-2.7135134670170936e-208,-2.698924685330097e-208,-2.6844919333895745e-208,-2.6702127213592132e-208,-2.6560846120976465e-208,-2.6421052197717457e-208,-2.6282722085134735e-208,-2.614583291118707e-208,-2.6010362277865185e-208,-2.587628824897439e-208,-2.5743589338293235e-208,-2.561224449809455e-208,-2.5482233108016187e-208,-2.5353534964268957e-208,-2.5226130269169975e-208,-2.5099999620990004e-208,-2.4975124004103865e-208,-2.4851484779433395e-208,-2.4729063675172906e-208,-2.46078427777873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diff --git a/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/huge_positive.json b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/huge_positive.json
new file mode 100644
index 000000000000..d408d2259c5a
--- /dev/null
+++ b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/huge_positive.json
@@ -0,0 +1 @@
+{"expected":[1.0e-300,5.0199748499260014e-306,2.5099937250156875e-306,1.6733305500268516e-306,1.2549984375269454e-306,1.003999002024992e-306,8.366659750227939e-307,7.171423500207668e-307,6.2749961251898935e-307,5.5777747223967356e-307,5.0199975301612154e-307,4.563634326595951e-307,4.183331625139586e-307,3.861537009006463e-307,3.585713035837171e-307,3.346665580115908e-307,3.1374990469846647e-307,2.952940334014081e-307,2.788888138987856e-307,2.642104591507096e-307,2.5099993950901456e-307,2.3904756429434363e-307,2.2818176839670507e-307,2.1826082411002836e-307,2.0916662500764718e-307,2.007999616873673e-307,1.9307688772900056e-307,1.85925893216741e-307,1.7928568393520923e-307,1.7310342004209736e-307,1.6733330700622637e-307,1.6193545926722538e-307,1.5687497695898777e-307,1.5212119050156414e-307,1.4764703850034881e-307,1.4342855229110458e-307,1.3944442639413815e-307,1.356756586245456e-307,1.3210524702714877e-307,1.287179334368197e-307,1.2549998550475168e-307,1.22439010623321e-307,1.1952379643310803e-307,1.1674417358474985e-307,1.1409089721508388e-307,1.1155554422647027e-307,1.0913042396446232e-307,1.0680850029832604e-307,1.04583323441494e-307,1.0244897012053398e-307,1.0039999092384082e-307,9.8431363844599e-308,9.653845318417233e-308,9.471697310793945e-308,9.296295525048074e-308,9.12727198547444e-308,8.964285000344444e-308,8.807016856294298e-308,8.655171751224784e-308,8.508473937414583e-308,8.366666050322267e-308,8.229507601768385e-308,8.096773618938646e-308,7.968253413005834e-308,7.843749463193397e-308,7.723076403848555e-308,7.606060103599666e-308,7.492536826977087e-308,7.382352470008681e-308,7.275361862285263e-308,7.171428128849006e-308,7.070422106006771e-308,6.972221805825643e-308,6.876711924642545e-308,6.78378339142442e-308,6.693332952259577e-308,6.605262787652375e-308,6.519480159639082e-308,6.435897086048671e-308,6.354430039503302e-308,6.274999668993767e-308,6.197530542078968e-308,6.121950905948856e-308,6.048192465759922e-308,5.97619017880387e-308,5.90588206320555e-308,5.837209019967564e-308,5.770114667287633e-308,5.704545186172533e-308,5.640449176460055e-308,5.577777522439517e-308,5.516483267332459e-308,5.456521495959369e-308,5.397849224976308e-308,5.340425300117711e-308,5.284210299929095e-308,5.229166445516502e-308,5.175257515878424e-308,5.1224487684215e-308,5.070706864293448e-308,5.019999798196008e-308,4.970296832367423e-308,4.921568434448296e-308,4.873786218966922e-308,4.826922892200451e-308,4.780952200186855e-308,4.735848879679608e-308,4.69158861185257e-308,4.648147978576823e-308,4.60550442110429e-308,4.563636201004964e-308,4.522522363215654e-308,4.482142701068245e-308,4.4424777231748815e-308,4.4035086220560225e-308,4.365217244405298e-308,4.327586062892395e-308,4.2905981494119407e-308,4.254237149692621e-308,4.218487259186502e-308,4.183333200163893e-308,4.1487601999439974e-308,4.114753970196188e-308,4.081300687250978e-308,4.0483869733636873e-308,4.0159998788774436e-308,3.984126865235579e-308,3.952755788796581e-308,3.9218748854077183e-308,3.891472755696175e-308,3.861538351039056e-308,3.832060960175983e-308,3.8030301964302143e-308,3.77443598550625e-308,3.746268553833819e-308,3.7185184174299063e-308,3.6911763712521654e-308,3.664233479018597e-308,3.637681063469862e-308,3.6115106970519153e-308,3.585714192997961e-308,3.560283596789902e-308,3.5352111779805616e-308,3.5104894223590417e-308,3.486111024442518e-308,3.462068880278718e-308,3.4383560805441937e-308,3.414965903924293e-308,3.391891810761507e-308,3.3691274369595983e-308,3.3466665881315576e-308,3.3245032339800904e-308,3.3026315028999325e-308,3.2810456767918336e-308,3.2597401860785983e-308,3.23870960491405e-308,3.217948646576267e-308,3.197452159036879e-308,3.1772151206986073e-308,3.1572326362936607e-308,3.137499932935939e-308,3.1180123563203597e-308,3.098765367062949e-308,3.079754537175657e-308,3.060975546670138e-308,3.0424241802850334e-308,3.0240963243315443e-308,3.0059879636523373e-308,2.9880951786890605e-308,2.97041414265397e-308,2.9529411188013853e-308,2.9356724577948783e-308,2.9186045951663073e-308,2.901734048862977e-308,2.8850574168793774e-308,2.8685713749701233e-308,2.852272674440858e-308,2.8361581400140456e-308,2.8202246677666973e-308,2.804469223137231e-308,2.788888838998766e-308,2.773480613796283e-308,2.7582417097452005e-308,2.743169351089015e-308,2.7282608224137534e-308,2.713513467017094e-308,2.6989246853300965e-308,2.684491933389574e-308,2.670212721359213e-308,2.6560846120976464e-308,2.642105219771746e-308,2.6282722085134736e-308,2.614583291118707e-308,2.6010362277865185e-308,2.587628824897439e-308,2.5743589338293234e-308,2.561224449809455e-308,2.5482233108016185e-308,2.5353534964268957e-308,2.5226130269169975e-308,2.5099999620990007e-308,2.4975124004103863e-308,2.4851484779433393e-308,2.4729063675172905e-308,2.4607842777787393e-308,2.448780452327425e-308,2.4368931688679427e-308,2.425120738385961e-308,2.4134615043481885e-308,2.4019138419253227e-308,2.3904761572371884e-308,2.3791468866193485e-308,2.367924495910467e-308,2.356807479759748e-308,2.34579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diff --git a/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/large_negative.json b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/large_negative.json
new file mode 100644
index 000000000000..aa5f5403dca4
--- /dev/null
+++ b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/large_negative.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/large_positive.json b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/large_positive.json
new file mode 100644
index 000000000000..dcb11fa80b1a
--- /dev/null
+++ b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/large_positive.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/larger_negative.json b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/larger_negative.json
new file mode 100644
index 000000000000..643fcc4c413e
--- /dev/null
+++ b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/larger_negative.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/larger_positive.json b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/larger_positive.json
new file mode 100644
index 000000000000..a2581e9b32c3
--- /dev/null
+++ b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/larger_positive.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/medium_negative.json b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/medium_negative.json
new file mode 100644
index 000000000000..6c1e0f9d3aed
--- /dev/null
+++ b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/medium_negative.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/medium_positive.json b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/medium_positive.json
new file mode 100644
index 000000000000..1808609050ff
--- /dev/null
+++ b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/medium_positive.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/runner.jl b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/runner.jl
new file mode 100755
index 000000000000..c98a4c5aa415
--- /dev/null
+++ b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/runner.jl
@@ -0,0 +1,114 @@
+#!/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( domain, name )
+
+Generate fixture data and write to file.
+
+# Arguments
+
+* `domain`: domain
+* `name::AbstractString`: output filename
+
+# Examples
+
+``` julia
+julia> x = range( -1000, stop = 1000, length = 2001 );
+julia> gen( x, \"data.json\" );
+```
+"""
+function gen( domain, name )
+ x = collect( domain );
+ y = acschf.( x );
+
+ # Store data to be written to file as a collection:
+ data = Dict([
+ ("x", x),
+ ("expected", y)
+ ]);
+
+ # 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 );
+
+# Negative tiny values:
+x = range( -1e-300, stop = -1e-308, length = 503 );
+gen( x, "tiny_negative.json" );
+
+# Positive tiny values:
+x = range( 1e-300, stop = 1e-308, length = 503 );
+gen( x, "tiny_positive.json" );
+
+# Small(er) values:
+x = range( -0.8, stop = 0.8, length = 503 );
+gen( x, "smaller.json" );
+
+# Negative small values:
+x = range( -0.8, stop = -1.0, length = 503 );
+gen( x, "small_negative.json" );
+
+# Positive small values:
+x = range( 0.8, stop = 1.0, length = 503 );
+gen( x, "small_positive.json" );
+
+# Negative medium values:
+x = range( -1.0, stop = -3.0, length = 503 );
+gen( x, "medium_negative.json" );
+
+# Positive medium values:
+x = range( 1.0, stop = 3.0, length = 503 );
+gen( x, "medium_positive.json" );
+
+# Large negative values:
+x = range( -3.0, stop = -28.0, length = 503 );
+gen( x, "large_negative.json" );
+
+# Large positive values:
+x = range( 3.0, stop = 28.0, length = 503 );
+gen( x, "large_positive.json" );
+
+# Larger negative values:
+x = range( -28.0, stop = -100.0, length = 503 );
+gen( x, "larger_negative.json" );
+
+# Larger positive values:
+x = range( 28.0, stop = 100.0, length = 503 );
+gen( x, "larger_positive.json" );
+
+# Huge negative values:
+x = range( -1e200, stop = -1e208, length = 503 );
+gen( x, "huge_negative.json" );
+
+# Huge positive values:
+x = range( 1e300, stop = 1e308, length = 503 );
+gen( x, "huge_positive.json" );
diff --git a/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/small_negative.json b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/small_negative.json
new file mode 100644
index 000000000000..24089f994a16
--- /dev/null
+++ b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/small_negative.json
@@ -0,0 +1 @@
+{"expected":[-1.0475930126492587,-1.0472042683349878,-1.0468157929876352,-1.0464275863331858,-1.0460396480980116,-1.045651978008868,-1.045264575792896,-1.0448774411776196,-1.0444905738909456,-1.0441039736611633,-1.0437176402169426,-1.0433315732873356,-1.0429457726017728,-1.0425602378900651,-1.0421749688824014,-1.041789965309348,-1.04140522690185,-1.0410207533912268,-1.0406365445091748,-1.040252599987765,-1.039868919559443,-1.039485502957028,-1.0391023499137115,-1.0387194601630576,-1.0383368334390022,-1.0379544694758516,-1.0375723680082822,-1.0371905287713403,-1.0368089515004404,-1.036427635931365,-1.0360465818002647,-1.035665788843656,-1.0352852567984214,-1.0349049854018093,-1.0345249743914327,-1.0341452235052673,-1.0337657324816538,-1.0333865010592946,-1.0330075289772538,-1.0326288159749573,-1.0322503617921914,-1.031872166169102,-1.0314942288461946,-1.0311165495643335,-1.0307391280647402,-1.030361964088994,-1.0299850573790306,-1.0296084076771415,-1.029232014725974,-1.0288558782685293,-1.0284799980481631,-1.0281043738085842,-1.0277290052938537,-1.0273538922483856,-1.0269790344169443,-1.0266044315446454,-1.0262300833769549,-1.0258559896596873,-1.0254821501390066,-1.0251085645614246,-1.024735232673801,-1.0243621542233419,-1.0239893289575996,-1.0236167566244727,-1.023244436972204,-1.0228723697493805,-1.022500554704934,-1.0221289915881382,-1.0217576801486092,-1.0213866201363064,-1.0210158113015286,-1.0206452533949162,-1.0202749461674492,-1.019904889370447,-1.0195350827555676,-1.0191655260748074,-1.0187962190805,-1.0184271615253155,-1.0180583531622613,-1.0176897937446796,-1.0173214830262474,-1.0169534207609767,-1.0165856067032133,-1.016218040607636,-1.015850722229256,-1.0154836513234171,-1.0151168276457938,-1.0147502509523918,-1.0143839209995469,-1.0140178375439244,-1.013652000342519,-1.013286409152653,-1.0129210637319774,-1.0125559638384702,-1.0121911092304356,-1.011826499666504,-1.0114621349056319,-1.0110980147070994,-1.0107341388305124,-1.0103705070357993,-1.010007119083212,-1.0096439747333252,-1.0092810737470355,-1.0089184158855604,-1.0085560009104388,-1.0081938285835295,-1.007831898667011,-1.0074702109233808,-1.0071087651154558,-1.0067475610063688,-1.0063865983595723,-1.0060258769388344,-1.0056653965082387,-1.0053051568321867,-1.0049451576753927,-1.004585398802887,-1.0042258799800134,-1.003866600972429,-1.0035075615461044,-1.0031487614673211,-1.0027902005026743,-1.002431878419069,-1.0020737949837208,-1.0017159499641568,-1.001358343128212,-1.0010009742440316,-1.0006438430800684,-1.0002869494050834,-0.9999302929881454,-0.9995738735986293,-0.9992176910062168,-0.9988617449808951,-0.9985060352929567,-0.9981505617129987,-0.9977953240119218,-0.9974403219609316,-0.9970855553315355,-0.9967310238955436,-0.9963767274250684,-0.9960226656925236,-0.995668838470624,-0.9953152455323845,-0.9949618866511196,-0.9946087616004441,-0.9942558701542705,-0.9939032120868104,-0.9935507871725725,-0.9931985951863631,-0.9928466359032853,-0.9924949090987379,-0.9921434145484161,-0.9917921520283096,-0.9914411213147029,-0.9910903221841749,-0.9907397544135975,-0.9903894177801363,-0.9900393120612494,-0.9896894370346866,-0.9893397924784894,-0.9889903781709906,-0.9886411938908132,-0.9882922394168704,-0.987943514528365,-0.9875950190047889,-0.9872467526259219,-0.9868987151718327,-0.9865509064228768,-0.9862033261596973,-0.9858559741632233,-0.9855088502146703,-0.9851619540955391,-0.9848152855876158,-0.9844688444729707,-0.9841226305339584,-0.9837766435532168,-0.9834308833136675,-0.9830853495985136,-0.9827400421912414,-0.982394960875618,-0.9820501054356919,-0.9817054756557927,-0.981361071320529,-0.9810168922147902,-0.9806729381237442,-0.980329208832838,-0.9799857041277965,-0.9796424237946224,-0.9792993676195962,-0.9789565353892744,-0.97861392689049,-0.9782715419103523,-0.9779293802362451,-0.9775874416558282,-0.9772457259570353,-0.9769042329280734,-0.976562962357424,-0.9762219140338412,-0.9758810877463514,-0.9755404832842535,-0.9752001004371177,-0.9748599389947856,-0.9745199987473692,-0.9741802794852509,-0.973840780999083,-0.9735015030797869,-0.9731624455185525,-0.972823608106839,-0.9724849906363727,-0.9721465928991478,-0.9718084146874253,-0.9714704557937328,-0.9711327160108643,-0.970795195131879,-0.9704578929501015,-0.9701208092591214,-0.969783943852792,-0.9694472965252313,-0.9691108670708202,-0.9687746552842021,-0.9684386609602842,-0.9681028838942345,-0.9677673238814831,-0.9674319807177219,-0.9670968541989027,-0.9667619441212378,-0.9664272502811997,-0.9660927724755198,-0.9657585105011893,-0.965424464155457,-0.9650906332358307,-0.964757017540075,-0.9644236168662127,-0.964090431012523,-0.9637574597775407,-0.9634247029600583,-0.9630921603591222,-0.9627598317740348,-0.9624277170043529,-0.9620958158498873,-0.9617641281107034,-0.9614326535871189,-0.9611013920797055,-0.9607703433892867,-0.9604395073169384,-0.9601088836639885,-0.9597784722320156,-0.9594482728228496,-0.9591182852385708,-0.9587885092815093,-0.9584589447542449,-0.9581295914596066,-0.957800449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diff --git a/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/small_positive.json b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/small_positive.json
new file mode 100644
index 000000000000..be07fa4a05c8
--- /dev/null
+++ b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/small_positive.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/smaller.json b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/smaller.json
new file mode 100644
index 000000000000..b06547e25f72
--- /dev/null
+++ b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/smaller.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/tiny_negative.json b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/tiny_negative.json
new file mode 100644
index 000000000000..7b46592775a9
--- /dev/null
+++ b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/tiny_negative.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/tiny_positive.json b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/tiny_positive.json
new file mode 100644
index 000000000000..55a2d49011e0
--- /dev/null
+++ b/lib/node_modules/@stdlib/math/base/special/acschf/test/fixtures/julia/tiny_positive.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/math/base/special/acschf/test/test.js b/lib/node_modules/@stdlib/math/base/special/acschf/test/test.js
new file mode 100644
index 000000000000..191c2b878e5b
--- /dev/null
+++ b/lib/node_modules/@stdlib/math/base/special/acschf/test/test.js
@@ -0,0 +1,446 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var EPS = require( '@stdlib/constants/float32/eps' );
+var PINF = require( '@stdlib/constants/float32/pinf' );
+var NINF = require( '@stdlib/constants/float32/ninf' );
+var abs = require( '@stdlib/math/base/special/abs' );
+var float64ToFloat32 = require( '@stdlib/number/float64/base/to-float32' );
+var isNegativeZerof = require( '@stdlib/math/base/assert/is-negative-zerof' );
+var isPositiveZerof = require( '@stdlib/math/base/assert/is-positive-zerof' );
+var acschf = require( './../lib' );
+var largerNegative = require( './fixtures/julia/larger_negative.json' );
+var largerPositive = require( './fixtures/julia/larger_positive.json' );
+var largeNegative = require( './fixtures/julia/large_negative.json' );
+var largePositive = require( './fixtures/julia/large_positive.json' );
+var mediumNegative = require( './fixtures/julia/medium_negative.json' );
+var mediumPositive = require( './fixtures/julia/medium_positive.json' );
+var smallNegative = require( './fixtures/julia/small_negative.json' );
+var smallPositive = require( './fixtures/julia/small_positive.json' );
+var smaller = require( './fixtures/julia/smaller.json' );
+var hugeNegative = require( './fixtures/julia/huge_negative.json' );
+var hugePositive = require( './fixtures/julia/huge_positive.json' );
+var tinyNegative = require( './fixtures/julia/tiny_negative.json' );
+var tinyPositive = require( './fixtures/julia/tiny_positive.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof acschf, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function handles signed zero', function test( t ) {
+ t.strictEqual( acschf( 0.0 ), PINF, 'positive zero returns +infinity' );
+ t.strictEqual( acschf( -0.0 ), NINF, 'negative zero returns -infinity' );
+ t.end();
+});
+
+tape( 'the function computes the hyperbolic arccosecant on the interval `[-0.8,0.8]`', function test( t ) {
+ var expected;
+ var delta;
+ var tol;
+ var x;
+ var y;
+ var i;
+ var e;
+
+ x = smaller.x;
+ expected = smaller.expected;
+
+ for ( i = 0; i < x.length; i++ ) {
+ y = acschf( x[ i ] );
+
+ if ( expected[ i ] === null ) {
+ t.strictEqual( y, PINF, 'x: '+x[ i ]+'. E: +infinity' );
+ } else {
+ e = float64ToFloat32( expected[ i ] );
+
+ if ( y === e ) {
+ t.strictEqual( y, e, 'x: '+x[ i ]+'. E: '+e );
+ } else {
+ delta = abs( y - e );
+ tol = 1.8 * EPS * abs( e );
+ t.ok(delta <= tol, 'within tolerance. x: '+x[ i ]+
+ '. y: '+y+
+ '. E: '+e+
+ '. tol: '+tol+
+ '. Δ: '+delta+'.');
+ }
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes the hyperbolic arccosecant on the interval `[-1.0,-0.8]`', function test( t ) {
+ var expected;
+ var delta;
+ var tol;
+ var x;
+ var y;
+ var i;
+ var e;
+
+ x = smallNegative.x;
+ expected = smallNegative.expected;
+
+ for ( i = 0; i < x.length; i++ ) {
+ y = acschf( x[ i ] );
+ e = float64ToFloat32( expected[ i ] );
+
+ if ( y === e ) {
+ t.strictEqual( y, e, 'x: '+x[ i ]+'. E: '+e );
+ } else {
+ delta = abs( y - e );
+ tol = 1.8 * EPS * abs( e );
+ t.ok(delta <= tol, 'within tolerance. x: '+x[ i ]+
+ '. y: '+y+
+ '. E: '+e+
+ '. tol: '+tol+
+ '. Δ: '+delta+'.');
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes the hyperbolic arccosecant on the interval `[0.8,1.0]`', function test( t ) {
+ var expected;
+ var delta;
+ var tol;
+ var x;
+ var y;
+ var i;
+ var e;
+
+ x = smallPositive.x;
+ expected = smallPositive.expected;
+
+ for ( i = 0; i < x.length; i++ ) {
+ y = acschf( x[ i ] );
+ e = float64ToFloat32( expected[ i ] );
+
+ if ( y === e ) {
+ t.strictEqual( y, e, 'x: '+x[ i ]+'. E: '+e );
+ } else {
+ delta = abs( y - e );
+ tol = 1.8 * EPS * abs( e );
+ t.ok(delta <= tol, 'within tolerance. x: '+x[ i ]+
+ '. y: '+y+
+ '. E: '+e+
+ '. tol: '+tol+
+ '. Δ: '+delta+'.');
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes the hyperbolic arccosecant on the interval `[-3.0,-1.0]`', function test( t ) {
+ var expected;
+ var delta;
+ var tol;
+ var x;
+ var y;
+ var i;
+ var e;
+
+ x = mediumNegative.x;
+ expected = mediumNegative.expected;
+
+ for ( i = 0; i < x.length; i++ ) {
+ y = acschf( x[ i ] );
+ e = float64ToFloat32( expected[ i ] );
+
+ if ( y === e ) {
+ t.strictEqual( y, e, 'x: '+x[ i ]+'. E: '+e );
+ } else {
+ delta = abs( y - e );
+ tol = 1.8 * EPS * abs( e );
+ t.ok(delta <= tol, 'within tolerance. x: '+x[ i ]+
+ '. y: '+y+
+ '. E: '+e+
+ '. tol: '+tol+
+ '. Δ: '+delta+'.');
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes the hyperbolic arccosecant on the interval `[1.0,3.0]`', function test( t ) {
+ var expected;
+ var delta;
+ var tol;
+ var x;
+ var y;
+ var i;
+ var e;
+
+ x = mediumPositive.x;
+ expected = mediumPositive.expected;
+
+ for ( i = 0; i < x.length; i++ ) {
+ y = acschf( x[ i ] );
+ e = float64ToFloat32( expected[ i ] );
+
+ if ( y === e ) {
+ t.strictEqual( y, e, 'x: '+x[ i ]+'. E: '+e );
+ } else {
+ delta = abs( y - e );
+ tol = 1.8 * EPS * abs( e );
+ t.ok(delta <= tol, 'within tolerance. x: '+x[ i ]+
+ '. y: '+y+
+ '. E: '+e+
+ '. tol: '+tol+
+ '. Δ: '+delta+'.');
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes the hyperbolic arccosecant on the interval `[3.0,28.0]`', function test( t ) {
+ var expected;
+ var delta;
+ var tol;
+ var x;
+ var y;
+ var i;
+ var e;
+
+ x = largePositive.x;
+ expected = largePositive.expected;
+
+ for ( i = 0; i < x.length; i++ ) {
+ y = acschf( x[ i ] );
+ e = float64ToFloat32( expected[ i ] );
+
+ if ( y === e ) {
+ t.strictEqual( y, e, 'x: '+x[ i ]+'. E: '+e );
+ } else {
+ delta = abs( y - e );
+ tol = 1.8 * EPS * abs( e );
+ t.ok(delta <= tol, 'within tolerance. x: '+x[ i ]+
+ '. y: '+y+
+ '. E: '+e+
+ '. tol: '+tol+
+ '. Δ: '+delta+'.');
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes the hyperbolic arccosecant on the interval `[-28.0,-3.0]`', function test( t ) {
+ var expected;
+ var delta;
+ var tol;
+ var x;
+ var y;
+ var i;
+ var e;
+
+ x = largeNegative.x;
+ expected = largeNegative.expected;
+
+ for ( i = 0; i < x.length; i++ ) {
+ y = acschf( x[ i ] );
+ e = float64ToFloat32( expected[ i ] );
+
+ if ( y === e ) {
+ t.strictEqual( y, e, 'x: '+x[ i ]+'. E: '+e );
+ } else {
+ delta = abs( y - e );
+ tol = 1.8 * EPS * abs( e );
+ t.ok(delta <= tol, 'within tolerance. x: '+x[ i ]+
+ '. y: '+y+
+ '. E: '+e+
+ '. tol: '+tol+
+ '. Δ: '+delta+'.');
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes the hyperbolic arccosecant on the interval `[28.0,100.0]`', function test( t ) {
+ var expected;
+ var delta;
+ var tol;
+ var x;
+ var y;
+ var i;
+ var e;
+
+ x = largerPositive.x;
+ expected = largerPositive.expected;
+
+ for ( i = 0; i < x.length; i++ ) {
+ y = acschf( x[ i ] );
+ e = float64ToFloat32( expected[ i ] );
+
+ if ( y === e ) {
+ t.strictEqual( y, e, 'x: '+x[ i ]+'. E: '+e );
+ } else {
+ delta = abs( y - e );
+ tol = 1.8 * EPS * abs( e );
+ t.ok(delta <= tol, 'within tolerance. x: '+x[ i ]+
+ '. y: '+y+
+ '. E: '+e+
+ '. tol: '+tol+
+ '. Δ: '+delta+'.');
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes the hyperbolic arccosecant on the interval `[-100.0,-28.0]`', function test( t ) {
+ var expected;
+ var delta;
+ var tol;
+ var x;
+ var y;
+ var i;
+ var e;
+
+ x = largerNegative.x;
+ expected = largerNegative.expected;
+
+ for ( i = 0; i < x.length; i++ ) {
+ y = acschf( x[ i ] );
+ e = float64ToFloat32( expected[ i ] );
+
+ if ( y === e ) {
+ t.strictEqual( y, e, 'x: '+x[ i ]+'. E: '+e );
+ } else {
+ delta = abs( y - e );
+ tol = 1.8 * EPS * abs( e );
+ t.ok(delta <= tol, 'within tolerance. x: '+x[ i ]+
+ '. y: '+y+
+ '. E: '+e+
+ '. tol: '+tol+
+ '. Δ: '+delta+'.');
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes the hyperbolic arccosecant on the interval `[-1e200,-1e208]`', function test( t ) {
+ var expected;
+ var delta;
+ var tol;
+ var x;
+ var y;
+ var i;
+ var e;
+
+ x = hugeNegative.x;
+ expected = hugeNegative.expected;
+
+ for ( i = 0; i < x.length; i++ ) {
+ y = acschf( x[ i ] );
+ e = float64ToFloat32( expected[ i ] );
+
+ if ( y === e ) {
+ t.strictEqual( y, e, 'x: '+x[ i ]+'. E: '+e );
+ } else {
+ delta = abs( y - e );
+ tol = 1.8 * EPS * abs( e );
+ t.ok(delta <= tol, 'within tolerance. x: '+x[ i ]+
+ '. y: '+y+
+ '. E: '+e+
+ '. tol: '+tol+
+ '. Δ: '+delta+'.');
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes the hyperbolic arccosecant on the interval `[1e300,1e308]`', function test( t ) {
+ var expected;
+ var delta;
+ var tol;
+ var x;
+ var y;
+ var i;
+ var e;
+
+ x = hugePositive.x;
+ expected = hugePositive.expected;
+
+ for ( i = 0; i < x.length; i++ ) {
+ y = acschf( x[ i ] );
+ e = float64ToFloat32( expected[ i ] );
+
+ if ( y === e ) {
+ t.strictEqual( y, e, 'x: '+x[ i ]+'. E: '+e );
+ } else {
+ delta = abs( y - e );
+ tol = 1.8 * EPS * abs( e );
+ t.ok(delta <= tol, 'within tolerance. x: '+x[ i ]+
+ '. y: '+y+
+ '. E: '+e+
+ '. tol: '+tol+
+ '. Δ: '+delta+'.');
+ }
+ }
+ t.end();
+});
+
+tape( 'the function returns `NaN` if provided `NaN`', function test( t ) {
+ var v = acschf( NaN );
+ t.strictEqual( isnanf( v ), true, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function returns -0 if provided -infinity', function test( t ) {
+ var v = acschf( NINF );
+ t.strictEqual( isNegativeZerof( v ), true, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function returns +0 if provided +infinity', function test( t ) {
+ var v = acschf( PINF );
+ t.strictEqual( isPositiveZerof( v ), true, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function evaluates the inverse hyperbolic arccosecant for tiny negative values', function test( t ) {
+ var i;
+ var v;
+
+ for ( i = 0; i < tinyNegative.length; i++ ) {
+ v = acschf( tinyNegative[ i ] );
+ t.strictEqual( isnanf( v ), false, 'does not return NaN' );
+ }
+ t.end();
+});
+
+tape( 'the function evaluates the inverse hyperbolic arccosecant for tiny positive values', function test( t ) {
+ var i;
+ var v;
+
+ for ( i = 0; i < tinyPositive.length; i++ ) {
+ v = acschf( tinyPositive[ i ] );
+ t.strictEqual( isnanf( v ), false, 'does not return NaN' );
+ }
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/math/base/special/acschf/test/test.native.js b/lib/node_modules/@stdlib/math/base/special/acschf/test/test.native.js
new file mode 100644
index 000000000000..9d358cb1ec2f
--- /dev/null
+++ b/lib/node_modules/@stdlib/math/base/special/acschf/test/test.native.js
@@ -0,0 +1,461 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var resolve = require( 'path' ).resolve;
+var tape = require( 'tape' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var isNegativeZerof = require( '@stdlib/math/base/assert/is-negative-zerof' );
+var isPositiveZerof = require( '@stdlib/math/base/assert/is-positive-zerof' );
+var EPS = require( '@stdlib/constants/float32/eps' );
+var PINF = require( '@stdlib/constants/float32/pinf' );
+var NINF = require( '@stdlib/constants/float32/ninf' );
+var float64ToFloat32 = require( '@stdlib/number/float64/base/to-float32' );
+var abs = require( '@stdlib/math/base/special/abs' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var tinyNegative = require( './fixtures/julia/tiny_negative.json' );
+var tinyPositive = require( './fixtures/julia/tiny_positive.json' );
+var largerNegative = require( './fixtures/julia/larger_negative.json' );
+var largerPositive = require( './fixtures/julia/larger_positive.json' );
+var largeNegative = require( './fixtures/julia/large_negative.json' );
+var largePositive = require( './fixtures/julia/large_positive.json' );
+var mediumNegative = require( './fixtures/julia/medium_negative.json' );
+var mediumPositive = require( './fixtures/julia/medium_positive.json' );
+var smallNegative = require( './fixtures/julia/small_negative.json' );
+var smallPositive = require( './fixtures/julia/small_positive.json' );
+var smaller = require( './fixtures/julia/smaller.json' );
+var hugeNegative = require( './fixtures/julia/huge_negative.json' );
+var hugePositive = require( './fixtures/julia/huge_positive.json' );
+
+
+// VARIABLES //
+
+var acschf = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+ 'skip': ( acschf instanceof Error )
+};
+
+
+// TESTS //
+
+tape( 'main export is a function', opts, function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof acschf, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function computes the hyperbolic arccosecant on the interval `[-0.8,0.8]`', opts, function test( t ) {
+ var expected;
+ var delta;
+ var tol;
+ var x;
+ var y;
+ var i;
+ var e;
+
+ x = smaller.x;
+ expected = smaller.expected;
+
+ for ( i = 0; i < x.length; i++ ) {
+ y = acschf( x[ i ] );
+
+ if ( expected[ i ] === null ) {
+ t.strictEqual( y, PINF, 'x: '+x[ i ]+'. E: +infinity' );
+ } else {
+ e = float64ToFloat32( expected[ i ] );
+
+ if ( y === e ) {
+ t.strictEqual( y, e, 'x: '+x[ i ]+'. E: '+e );
+ } else {
+ delta = abs( y - e );
+ tol = 1.8 * EPS * abs( e );
+ t.ok(delta <= tol, 'within tolerance. x: '+x[ i ]+
+ '. y: '+y+
+ '. E: '+e+
+ '. tol: '+tol+
+ '. Δ: '+delta+'.' );
+ }
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes the hyperbolic arccosecant on the interval `[-1.0,-0.8]`', opts, function test( t ) {
+ var expected;
+ var delta;
+ var tol;
+ var x;
+ var y;
+ var i;
+ var e;
+
+ x = smallNegative.x;
+ expected = smallNegative.expected;
+
+ for ( i = 0; i < x.length; i++ ) {
+ y = acschf( x[ i ] );
+ e = float64ToFloat32( expected[ i ] );
+
+ if ( y === e ) {
+ t.strictEqual( y, e, 'x: '+x[ i ]+'. E: '+e );
+ } else {
+ delta = abs( y - e );
+ tol = 1.8 * EPS * abs( e );
+ t.ok(delta <= tol, 'within tolerance. x: '+x[ i ]+
+ '. y: '+y+
+ '. E: '+e+
+ '. tol: '+tol+
+ '. Δ: '+delta);
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes the hyperbolic arccosecant on the interval `[0.8,1.0]`', opts, function test( t ) {
+ var expected;
+ var delta;
+ var tol;
+ var x;
+ var y;
+ var i;
+ var e;
+
+ x = smallPositive.x;
+ expected = smallPositive.expected;
+
+ for ( i = 0; i < x.length; i++ ) {
+ y = acschf( x[ i ] );
+ e = float64ToFloat32( expected[ i ] );
+
+ if ( y === e ) {
+ t.strictEqual( y, e, 'x: '+x[ i ]+'. E: '+e );
+ } else {
+ delta = abs( y - e );
+ tol = 1.8 * EPS * abs( e );
+ t.ok(delta <= tol, 'within tolerance. x: '+x[ i ]+
+ '. y: '+y+
+ '. E: '+e+
+ '. tol: '+tol+
+ '. Δ: '+delta);
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes the hyperbolic arccosecant on the interval `[-3.0,-1.0]`', opts, function test( t ) {
+ var expected;
+ var delta;
+ var tol;
+ var x;
+ var y;
+ var i;
+ var e;
+
+ x = mediumNegative.x;
+ expected = mediumNegative.expected;
+
+ for ( i = 0; i < x.length; i++ ) {
+ y = acschf( x[ i ] );
+ e = float64ToFloat32( expected[ i ] );
+
+ if ( y === e ) {
+ t.strictEqual( y, e, 'x: '+x[ i ]+'. E: '+e );
+ } else {
+ delta = abs( y - e );
+ tol = 1.8 * EPS * abs( e );
+ t.ok(delta <= tol, 'within tolerance. x: '+x[ i ]+
+ '. y: '+y+
+ '. E: '+e+
+ '. tol: '+tol+
+ '. Δ: '+delta);
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes the hyperbolic arccosecant on the interval `[1.0,3.0]`', opts, function test( t ) {
+ var expected;
+ var delta;
+ var tol;
+ var x;
+ var y;
+ var i;
+ var e;
+
+ x = mediumPositive.x;
+ expected = mediumPositive.expected;
+
+ for ( i = 0; i < x.length; i++ ) {
+ y = acschf( x[ i ] );
+ e = float64ToFloat32( expected[ i ] );
+
+ if ( y === e ) {
+ t.strictEqual( y, e, 'x: '+x[ i ]+'. E: '+e );
+ } else {
+ delta = abs( y - e );
+ tol = 1.8 * EPS * abs( e );
+ t.ok(delta <= tol, 'within tolerance. x: '+x[ i ]+
+ '. y: '+y+
+ '. E: '+e+
+ '. tol: '+tol+
+ '. Δ: '+delta);
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes the hyperbolic arccosecant on the interval `[3.0,28.0]`', opts, function test( t ) {
+ var expected;
+ var delta;
+ var tol;
+ var x;
+ var y;
+ var i;
+ var e;
+
+ x = largePositive.x;
+ expected = largePositive.expected;
+
+ for ( i = 0; i < x.length; i++ ) {
+ y = acschf( x[ i ] );
+ e = float64ToFloat32( expected[ i ] );
+
+ if ( y === e ) {
+ t.strictEqual( y, e, 'x: '+x[ i ]+'. E: '+e );
+ } else {
+ delta = abs( y - e );
+ tol = 1.8 * EPS * abs( e );
+ t.ok(delta <= tol, 'within tolerance. x: '+x[ i ]+
+ '. y: '+y+
+ '. E: '+e+
+ '. tol: '+tol+
+ '. Δ: '+delta);
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes the hyperbolic arccosecant on the interval `[-28.0,-3.0]`', opts, function test( t ) {
+ var expected;
+ var delta;
+ var tol;
+ var x;
+ var y;
+ var i;
+ var e;
+
+ x = largeNegative.x;
+ expected = largeNegative.expected;
+
+ for ( i = 0; i < x.length; i++ ) {
+ y = acschf( x[ i ] );
+ e = float64ToFloat32( expected[ i ] );
+
+ if ( y === e ) {
+ t.strictEqual( y, e, 'x: '+x[ i ]+'. E: '+e );
+ } else {
+ delta = abs( y - e );
+ tol = 1.8 * EPS * abs( e );
+ t.ok(delta <= tol, 'within tolerance. x: '+x[ i ]+
+ '. y: '+y+
+ '. E: '+e+
+ '. tol: '+tol+
+ '. Δ: '+delta);
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes the hyperbolic arccosecant on the interval `[28.0,100.0]`', opts, function test( t ) {
+ var expected;
+ var delta;
+ var tol;
+ var x;
+ var y;
+ var i;
+ var e;
+
+ x = largerPositive.x;
+ expected = largerPositive.expected;
+
+ for ( i = 0; i < x.length; i++ ) {
+ y = acschf( x[ i ] );
+ e = float64ToFloat32( expected[ i ] );
+
+ if ( y === e ) {
+ t.strictEqual( y, e, 'x: '+x[ i ]+'. E: '+e );
+ } else {
+ delta = abs( y - e );
+ tol = 1.8 * EPS * abs( e );
+ t.ok(delta <= tol, 'within tolerance. x: '+x[ i ]+
+ '. y: '+y+
+ '. E: '+e+
+ '. tol: '+tol+
+ '. Δ: '+delta);
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes the hyperbolic arccosecant on the interval `[-100.0,-28.0]`', opts, function test( t ) {
+ var expected;
+ var delta;
+ var tol;
+ var x;
+ var y;
+ var i;
+ var e;
+
+ x = largerNegative.x;
+ expected = largerNegative.expected;
+
+ for ( i = 0; i < x.length; i++ ) {
+ y = acschf( x[ i ] );
+ e = float64ToFloat32( expected[ i ] );
+
+ if ( y === e ) {
+ t.strictEqual( y, e, 'x: '+x[ i ]+'. E: '+e );
+ } else {
+ delta = abs( y - e );
+ tol = 1.8 * EPS * abs( e );
+ t.ok(delta <= tol, 'within tolerance. x: '+x[ i ]+
+ '. y: '+y+
+ '. E: '+e+
+ '. tol: '+tol+
+ '. Δ: '+delta);
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes the hyperbolic arccosecant on the interval `[-1e200,-1e208]`', opts, function test( t ) {
+ var expected;
+ var delta;
+ var tol;
+ var x;
+ var y;
+ var i;
+ var e;
+
+ x = hugeNegative.x;
+ expected = hugeNegative.expected;
+
+ for ( i = 0; i < x.length; i++ ) {
+ y = acschf( x[ i ] );
+ e = float64ToFloat32( expected[ i ] );
+
+ if ( y === e ) {
+ t.strictEqual( y, e, 'x: '+x[ i ]+'. E: '+e );
+ } else {
+ delta = abs( y - e );
+ tol = 1.8 * EPS * abs( e );
+ t.ok(delta <= tol, 'within tolerance. x: '+x[ i ]+
+ '. y: '+y+
+ '. E: '+e+
+ '. tol: '+tol+
+ '. Δ: '+delta);
+ }
+ }
+ t.end();
+});
+
+tape( 'the function computes the hyperbolic arccosecant on the interval `[1e300,1e308]`', opts, function test( t ) {
+ var expected;
+ var delta;
+ var tol;
+ var x;
+ var y;
+ var i;
+ var e;
+
+ x = hugePositive.x;
+ expected = hugePositive.expected;
+
+ for ( i = 0; i < x.length; i++ ) {
+ y = acschf( x[ i ] );
+ e = float64ToFloat32( expected[ i ] );
+
+ if ( y === e ) {
+ t.strictEqual( y, e, 'x: '+x[ i ]+'. E: '+e );
+ } else {
+ delta = abs( y - e );
+ tol = 1.8 * EPS * abs( e );
+ t.ok(delta <= tol, 'within tolerance. x: '+x[ i ]+
+ '. y: '+y+
+ '. E: '+e+
+ '. tol: '+tol+
+ '. Δ: '+delta);
+ }
+ }
+ t.end();
+});
+
+tape( 'the function returns `NaN` if provided `NaN`', opts, function test( t ) {
+ var v = acschf( NaN );
+ t.strictEqual( isnanf( v ), true, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function returns `+infinity` if provided `+0`', opts, function test( t ) {
+ var v = acschf( +0.0 );
+ t.strictEqual( v, PINF, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function returns `-infinity` if provided `-0`', opts, function test( t ) {
+ var v = acschf( -0.0 );
+ t.strictEqual( v, NINF, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function returns `-0` if provided `-infinity`', opts, function test( t ) {
+ var v = acschf( NINF );
+ t.strictEqual( isNegativeZerof( v ), true, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function returns `+0` if provided `+infinity`', opts, function test( t ) {
+ var v = acschf( PINF );
+ t.strictEqual( isPositiveZerof( v ), true, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the native function evaluates the inverse hyperbolic arccosecant for tiny negative values', function test( t ) {
+ var i;
+ var v;
+
+ for ( i = 0; i < tinyNegative.length; i++ ) {
+ v = acschf( tinyNegative[ i ] );
+ t.strictEqual( isnanf( v ), false, 'does not return NaN' );
+ }
+ t.end();
+});
+
+tape( 'the native function evaluates the inverse hyperbolic arccosecant for tiny positive values', function test( t ) {
+ var i;
+ var v;
+
+ for ( i = 0; i < tinyPositive.length; i++ ) {
+ v = acschf( tinyPositive[ i ] );
+ t.strictEqual( isnanf( v ), false, 'does not return NaN' );
+ }
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/ndarray/README.md b/lib/node_modules/@stdlib/ndarray/README.md
index 09226745040e..1fe20e7ef386 100644
--- a/lib/node_modules/@stdlib/ndarray/README.md
+++ b/lib/node_modules/@stdlib/ndarray/README.md
@@ -77,7 +77,7 @@ In addition, the namespace contains the following multidimensional array utility
- [`broadcastArray( x, shape )`][@stdlib/ndarray/broadcast-array]: broadcast an ndarray to a specified shape.
- [`broadcastArrays( ...arrays )`][@stdlib/ndarray/broadcast-arrays]: broadcast ndarrays to a common shape.
- [`castingModes()`][@stdlib/ndarray/casting-modes]: list of ndarray casting modes.
-- [`concat( arrays[, dim] )`][@stdlib/ndarray/concat]: concatenate a list of ndarrays along a specified ndarray dimension.
+- [`concat( arrays[, options] )`][@stdlib/ndarray/concat]: concatenate a list of ndarrays along a specified ndarray dimension.
- [`copy( x[, options] )`][@stdlib/ndarray/copy]: copy an input ndarray to a new ndarray having the same shape and data type.
- [`countFalsy( x[, options] )`][@stdlib/ndarray/count-falsy]: count the number of falsy elements along one or more `ndarray` dimensions.
- [`countIf( x[, options], predicate[, thisArg] )`][@stdlib/ndarray/count-if]: count the number of truthy elements along one or more `ndarray` dimensions.
diff --git a/lib/node_modules/@stdlib/ndarray/base/README.md b/lib/node_modules/@stdlib/ndarray/base/README.md
index 52e31c43cb78..f5737b30f9b0 100644
--- a/lib/node_modules/@stdlib/ndarray/base/README.md
+++ b/lib/node_modules/@stdlib/ndarray/base/README.md
@@ -58,7 +58,7 @@ var o = ns;
- [`broadcastArrayExceptDimensions( arr, shape, dims )`][@stdlib/ndarray/base/broadcast-array-except-dimensions]: broadcast an input ndarray to a target shape while keeping a list of specified dimensions unchanged.
- [`broadcastArray( arr, shape )`][@stdlib/ndarray/base/broadcast-array]: broadcast an ndarray to a specified shape.
- [`broadcastArrays( arrays )`][@stdlib/ndarray/base/broadcast-arrays]: broadcast ndarrays to a common shape.
-- [`broadcastScalar( value, dtype, shape, order )`][@stdlib/ndarray/base/broadcast-scalar]: broadcast a scalar value to an `ndarray` having a specified shape.
+- [`broadcastScalar( value, dtype, shape, order )`][@stdlib/ndarray/base/broadcast-scalar]: broadcast a scalar value to an ndarray having a specified shape.
- [`broadcastShapes( shapes )`][@stdlib/ndarray/base/broadcast-shapes]: broadcast array shapes to a single shape.
- [`bufferCtors( dtype )`][@stdlib/ndarray/base/buffer-ctors]: ndarray data buffer constructors.
- [`bufferDataTypeEnum( buffer )`][@stdlib/ndarray/base/buffer-dtype-enum]: return the data type enumeration constant of an ndarray data buffer.
@@ -89,11 +89,12 @@ var o = ns;
- [`dtype2c( dtype )`][@stdlib/ndarray/base/dtype2c]: return the C data type associated with a provided data type value.
- [`dtypes2enums( dtypes )`][@stdlib/ndarray/base/dtypes2enums]: resolve a list of data type enumeration constants.
- [`dtypes2signatures( dtypes, nin, nout )`][@stdlib/ndarray/base/dtypes2signatures]: transform a list of array argument data types into a list of signatures.
+- [`dtypes2strings( dtypes )`][@stdlib/ndarray/base/dtypes2strings]: resolve a list of data type strings.
- [`emptyLike( x )`][@stdlib/ndarray/base/empty-like]: create an uninitialized ndarray having the same shape and data type as a provided ndarray.
- [`empty( dtype, shape, order )`][@stdlib/ndarray/base/empty]: create an uninitialized ndarray having a specified shape and data type.
- [`everyBy( arrays, predicate[, thisArg] )`][@stdlib/ndarray/base/every-by]: test whether all elements in an ndarray pass a test implemented by a predicate function.
- [`every( arrays )`][@stdlib/ndarray/base/every]: test whether every element in an ndarray is truthy.
-- [`expandDimensions( x, axis )`][@stdlib/ndarray/base/expand-dimensions]: expand the shape of an array by inserting a new dimension of size one at a specified axis.
+- [`expandDimensions( x, dim, writable )`][@stdlib/ndarray/base/expand-dimensions]: expand the shape of an array by inserting a new dimension of size one at a specified dimension index.
- [`fillBy( x, fcn[, thisArg] )`][@stdlib/ndarray/base/fill-by]: fill an input ndarray according to a callback function.
- [`fill( x, value )`][@stdlib/ndarray/base/fill]: fill an input ndarray with a specified value.
- [`find( arrays, predicate[, thisArg] )`][@stdlib/ndarray/base/find]: return the first element in an ndarray which passes a test implemented by a predicate function.
@@ -145,7 +146,7 @@ var o = ns;
- [`outputPolicyResolveStr( dtype )`][@stdlib/ndarray/base/output-policy-resolve-str]: return the policy string associated with a supported ndarray data type policy value.
- [`outputPolicyStr2Enum( policy )`][@stdlib/ndarray/base/output-policy-str2enum]: return the enumeration constant associated with an output ndarray data type policy string.
- [`pop( x, dim, writable )`][@stdlib/ndarray/base/pop]: return an array containing a truncated view of an input ndarray and a view of the last element(s) along a specified dimension.
-- [`prependSingletonDimensions( x, n )`][@stdlib/ndarray/base/prepend-singleton-dimensions]: prepend singleton dimensions.
+- [`prependSingletonDimensions( x, n, writable )`][@stdlib/ndarray/base/prepend-singleton-dimensions]: prepend singleton dimensions.
- [`promoteDataTypes( dtypes )`][@stdlib/ndarray/base/promote-dtypes]: resolve the data type that results from applying promotion rules to a provided list of data types.
- [`removeSingletonDimensions( x )`][@stdlib/ndarray/base/remove-singleton-dimensions]: remove singleton dimensions.
- [`reverseDimension( x, dim, writable )`][@stdlib/ndarray/base/reverse-dimension]: return a view of an input ndarray in which the order of elements along a specified dimension is reversed.
@@ -164,14 +165,21 @@ var o = ns;
- [`slice( x, slice, strict, writable )`][@stdlib/ndarray/base/slice]: return a view of an input ndarray.
- [`someBy( arrays, predicate[, thisArg ] )`][@stdlib/ndarray/base/some-by]: test whether at least `n` elements in an ndarray pass a test implemented by a predicate function.
- [`some( arrays )`][@stdlib/ndarray/base/some]: test whether at least `n` elements in an ndarray are truthy.
-- [`spreadDimensions( ndims, x, dims )`][@stdlib/ndarray/base/spread-dimensions]: expand the shape of an array to a specified dimensionality by spreading its dimensions to specified dimension indices and inserting dimensions of size one for the remaining dimensions.
+- [`spreadDimensions( ndims, x, dims, writable )`][@stdlib/ndarray/base/spread-dimensions]: expand the shape of an array to a specified dimensionality by spreading its dimensions to specified dimension indices and inserting dimensions of size one for the remaining dimensions.
- [`stride( x, dim )`][@stdlib/ndarray/base/stride]: return the stride along a specified dimension for a provided ndarray.
- [`strides( x, copy )`][@stdlib/ndarray/base/strides]: return the strides of a provided ndarray.
- [`strides2offset( shape, strides )`][@stdlib/ndarray/base/strides2offset]: determine the index offset which specifies the location of the first indexed value in a multidimensional array based on a stride array.
- [`strides2order( strides )`][@stdlib/ndarray/base/strides2order]: determine the order of a multidimensional array based on a provided stride array.
- [`sub2ind( shape, strides, offset, ...subscripts, mode )`][@stdlib/ndarray/base/sub2ind]: convert subscripts to a linear index.
+- [`ternaryLoopOrder( shape, stridesX, stridesY, stridesZ, stridesW )`][@stdlib/ndarray/base/ternary-loop-interchange-order]: reorder ndarray dimensions and associated strides for loop interchange.
+- [`ternaryOutputDataType( xdtype, ydtype, zdtype, policy )`][@stdlib/ndarray/base/ternary-output-dtype]: resolve the output ndarray data type for a ternary function.
+- [`ternaryBlockSize( dtypeX, dtypeY, dtypeZ, dtypeW )`][@stdlib/ndarray/base/ternary-tiling-block-size]: resolve a loop block size for multi-dimensional array tiled loops.
+- [`ternary( arrays, fcn )`][@stdlib/ndarray/base/ternary]: apply a ternary callback to elements in input ndarrays and assign results to elements in an output ndarray.
- [`ndarray2array( buffer, shape, strides, offset, order )`][@stdlib/ndarray/base/to-array]: convert an ndarray buffer to a generic array.
+- [`toFlippedlr( x )`][@stdlib/ndarray/base/to-flippedlr]: return a new ndarray where the order of elements along the last dimension of an input ndarray is reversed.
+- [`toFlippedud( x )`][@stdlib/ndarray/base/to-flippedud]: return a new ndarray where the order of elements along the second-to-last dimension of an input ndarray is reversed.
- [`toNormalizedIndices( indices, max )`][@stdlib/ndarray/base/to-normalized-indices]: normalize a list of indices to the interval `[0,max]`.
+- [`toReversedDimension( x, dim )`][@stdlib/ndarray/base/to-reversed-dimension]: return a new ndarray where the order of elements of an input ndarray along a specified dimension is reversed.
- [`toReversed( x )`][@stdlib/ndarray/base/to-reversed]: return a new ndarray where the order of elements of an input ndarray is reversed along each dimension.
- [`toUniqueNormalizedIndices( indices, max )`][@stdlib/ndarray/base/to-unique-normalized-indices]: return a list of unique indices after normalizing to the interval `[0,max]`.
- [`transpose( x )`][@stdlib/ndarray/base/transpose]: transpose a matrix (or a stack of matrices).
@@ -348,6 +356,8 @@ console.log( objectKeys( ns ) );
[@stdlib/ndarray/base/dtypes2signatures]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/dtypes2signatures
+[@stdlib/ndarray/base/dtypes2strings]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/dtypes2strings
+
[@stdlib/ndarray/base/empty-like]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/empty-like
[@stdlib/ndarray/base/empty]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/empty
@@ -510,10 +520,24 @@ console.log( objectKeys( ns ) );
[@stdlib/ndarray/base/sub2ind]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/sub2ind
+[@stdlib/ndarray/base/ternary-loop-interchange-order]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/ternary-loop-interchange-order
+
+[@stdlib/ndarray/base/ternary-output-dtype]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/ternary-output-dtype
+
+[@stdlib/ndarray/base/ternary-tiling-block-size]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/ternary-tiling-block-size
+
+[@stdlib/ndarray/base/ternary]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/ternary
+
[@stdlib/ndarray/base/to-array]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/to-array
+[@stdlib/ndarray/base/to-flippedlr]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/to-flippedlr
+
+[@stdlib/ndarray/base/to-flippedud]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/to-flippedud
+
[@stdlib/ndarray/base/to-normalized-indices]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/to-normalized-indices
+[@stdlib/ndarray/base/to-reversed-dimension]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/to-reversed-dimension
+
[@stdlib/ndarray/base/to-reversed]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/to-reversed
[@stdlib/ndarray/base/to-unique-normalized-indices]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/to-unique-normalized-indices
diff --git a/lib/node_modules/@stdlib/object/README.md b/lib/node_modules/@stdlib/object/README.md
index 0c5b655f6a28..57c3014f7a4b 100644
--- a/lib/node_modules/@stdlib/object/README.md
+++ b/lib/node_modules/@stdlib/object/README.md
@@ -45,13 +45,32 @@ The namespace contains the following:
+- [`anyInBy( object, predicate[, thisArg ] )`][@stdlib/object/any-in-by]: test whether at least one property in an object passes a test implemented by a predicate function.
+- [`anyOwnBy( object, predicate[, thisArg ] )`][@stdlib/object/any-own-by]: test whether at least one own property of a provided object passes a test implemented by a predicate function.
- [`assignIn( target, source1[, source2[,...,sourceN]] )`][@stdlib/object/assign-in]: copy enumerable own and inherited properties from one or more source objects to a target object.
- [`assign( target, source1[, source2[,...,sourceN]] )`][@stdlib/object/assign]: copy enumerable own properties from one or more source objects to a target object.
+- [`bifurcateIn( obj, [options,] predicate )`][@stdlib/object/bifurcate-in]: split an object's **own** and **inherited** property values into two groups according to a predicate function.
+- [`bifurcateOwn( obj, [options,] predicate )`][@stdlib/object/bifurcate-own]: split an object's **own** property values into two groups according to a predicate function.
+- [`capitalizeKeys( obj )`][@stdlib/object/capitalize-keys]: convert the first letter of each object key to uppercase.
+- [`commonKeysIn( obj1, obj2[, obj3[,...,objN]] )`][@stdlib/object/common-keys-in]: return the common own and inherited property names of two or more objects.
+- [`commonKeys( obj1, obj2[, obj3[,...,objN]] )`][@stdlib/object/common-keys]: return the common own property names of two or more objects.
- [`Object( value )`][@stdlib/object/ctor]: object constructor.
+- [`deepGet( obj, path[, options] )`][@stdlib/object/deep-get]: get a nested property value.
+- [`deepSet( obj, path, value[, options] )`][@stdlib/object/deep-set]: set a nested property value.
- [`everyInBy( object, predicate[, thisArg ] )`][@stdlib/object/every-in-by]: test whether all properties (own and inherited) of an object pass a test implemented by a predicate function.
- [`everyOwnBy( object, predicate[, thisArg ] )`][@stdlib/object/every-own-by]: test whether all own propertes of an object pass a test implemented by a predicate function.
+- [`forIn( obj, fcn[, thisArg ] )`][@stdlib/object/for-in]: invoke a function for each own and inherited enumerable property of an object.
+- [`forOwn( obj, fcn[, thisArg ] )`][@stdlib/object/for-own]: invoke a function for each own enumerable property of an object.
+- [`inverseBy( obj, [options,] transform )`][@stdlib/object/inverse-by]: invert an object, such that keys become values and values become keys, according to a transform function.
+- [`inverse( obj[, options] )`][@stdlib/object/inverse]: invert an object, such that keys become values and values become keys.
+- [`lowercaseKeys( obj )`][@stdlib/object/lowercase-keys]: convert each object key to lowercase.
+- [`moveProperty( source, prop, target )`][@stdlib/object/move-property]: move a property from one object to another object.
- [`noneInBy( object, predicate[, thisArg ] )`][@stdlib/object/none-in-by]: test whether every property of an object fails a test implemented by a predicate function.
+- [`noneOwnBy( object, predicate[, thisArg ] )`][@stdlib/object/none-own-by]: tests whether every own property of an object fails a test implemented by a predicate function.
- [`someInBy( obj, n, predicate[, thisArg ] )`][@stdlib/object/some-in-by]: test whether an object contains at least `n` properties which pass a test implemented by a predicate function.
+- [`someOwnBy( obj, n, predicate[, thisArg ] )`][@stdlib/object/some-own-by]: test whether an object contains at least `n` own properties which pass a test implemented by a predicate function.
+- [`uncapitalizeKeys( obj )`][@stdlib/object/uncapitalize-keys]: convert the first letter of each object key to lowercase.
+- [`uppercaseKeys( obj )`][@stdlib/object/uppercase-keys]: convert each object key to uppercase.
@@ -94,20 +113,58 @@ console.log( objectKeys( ns ) );
+[@stdlib/object/any-in-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/object/any-in-by
+
+[@stdlib/object/any-own-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/object/any-own-by
+
[@stdlib/object/assign-in]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/object/assign-in
[@stdlib/object/assign]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/object/assign
+[@stdlib/object/bifurcate-in]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/object/bifurcate-in
+
+[@stdlib/object/bifurcate-own]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/object/bifurcate-own
+
+[@stdlib/object/capitalize-keys]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/object/capitalize-keys
+
+[@stdlib/object/common-keys-in]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/object/common-keys-in
+
+[@stdlib/object/common-keys]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/object/common-keys
+
[@stdlib/object/ctor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/object/ctor
+[@stdlib/object/deep-get]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/object/deep-get
+
+[@stdlib/object/deep-set]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/object/deep-set
+
[@stdlib/object/every-in-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/object/every-in-by
[@stdlib/object/every-own-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/object/every-own-by
+[@stdlib/object/for-in]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/object/for-in
+
+[@stdlib/object/for-own]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/object/for-own
+
+[@stdlib/object/inverse-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/object/inverse-by
+
+[@stdlib/object/inverse]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/object/inverse
+
+[@stdlib/object/lowercase-keys]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/object/lowercase-keys
+
+[@stdlib/object/move-property]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/object/move-property
+
[@stdlib/object/none-in-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/object/none-in-by
+[@stdlib/object/none-own-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/object/none-own-by
+
[@stdlib/object/some-in-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/object/some-in-by
+[@stdlib/object/some-own-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/object/some-own-by
+
+[@stdlib/object/uncapitalize-keys]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/object/uncapitalize-keys
+
+[@stdlib/object/uppercase-keys]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/object/uppercase-keys
+
diff --git a/lib/node_modules/@stdlib/random/README.md b/lib/node_modules/@stdlib/random/README.md
index 6432efb370ef..4c9b393c29e9 100644
--- a/lib/node_modules/@stdlib/random/README.md
+++ b/lib/node_modules/@stdlib/random/README.md
@@ -54,7 +54,45 @@ The namespace exports the following functions to sample and shuffle elements fro
The namespace contains the following functions for generating pseudorandom values drawn from probability distributions:
-
+
+
+
+
+- [`arcsine( shape, a, b[, options] )`][@stdlib/random/arcsine]: generate pseudorandom numbers drawn from an arcsine distribution.
+- [`bernoulli( shape, p[, options] )`][@stdlib/random/bernoulli]: generate pseudorandom numbers drawn from a Bernoulli distribution.
+- [`beta( shape, a, b[, options] )`][@stdlib/random/beta]: generate pseudorandom numbers drawn from a beta distribution.
+- [`betaprime( shape, alpha, beta[, options] )`][@stdlib/random/betaprime]: generate pseudorandom numbers drawn from a betaprime distribution.
+- [`binomial( shape, n, p[, options] )`][@stdlib/random/binomial]: generate pseudorandom numbers drawn from a binomial distribution.
+- [`cauchy( shape, x0, gamma[, options] )`][@stdlib/random/cauchy]: generate pseudorandom numbers drawn from a Cauchy distribution.
+- [`chi( shape, k[, options] )`][@stdlib/random/chi]: generate pseudorandom numbers drawn from a chi distribution.
+- [`chisquare( shape, k[, options] )`][@stdlib/random/chisquare]: generate pseudorandom numbers drawn from a chi-square distribution.
+- [`cosine( shape, mu, s[, options] )`][@stdlib/random/cosine]: generate pseudorandom numbers drawn from a raised cosine distribution.
+- [`discreteUniform( shape, a, b[, options] )`][@stdlib/random/discrete-uniform]: generate pseudorandom numbers drawn from a discrete uniform distribution.
+- [`erlang( shape, k, lambda[, options] )`][@stdlib/random/erlang]: generate pseudorandom numbers drawn from an Erlang distribution.
+- [`exponential( shape, lambda[, options] )`][@stdlib/random/exponential]: generate pseudorandom numbers drawn from an exponential distribution.
+- [`f( shape, d1, d2[, options] )`][@stdlib/random/f]: generate pseudorandom numbers drawn from an F distribution.
+- [`frechet( shape, alpha, s, m[, options] )`][@stdlib/random/frechet]: generate pseudorandom numbers drawn from a Fréchet distribution.
+- [`gamma( shape, alpha, beta[, options] )`][@stdlib/random/gamma]: generate pseudorandom numbers drawn from a gamma distribution.
+- [`geometric( shape, p[, options] )`][@stdlib/random/geometric]: generate pseudorandom numbers drawn from a geometric distribution.
+- [`gumbel( shape, mu, beta[, options] )`][@stdlib/random/gumbel]: generate pseudorandom numbers drawn from a Gumbel distribution.
+- [`hypergeometric( shape, N, K, n[, options] )`][@stdlib/random/hypergeometric]: generate pseudorandom numbers drawn from a hypergeometric distribution.
+- [`invgamma( shape, alpha, beta[, options] )`][@stdlib/random/invgamma]: generate pseudorandom numbers drawn from an inverse gamma distribution.
+- [`kumaraswamy( shape, a, b[, options] )`][@stdlib/random/kumaraswamy]: generate pseudorandom numbers drawn from a Kumaraswamy distribution.
+- [`laplace( shape, mu, b[, options] )`][@stdlib/random/laplace]: generate pseudorandom numbers drawn from a Laplace (double exponential) distribution.
+- [`levy( shape, mu, c[, options] )`][@stdlib/random/levy]: generate pseudorandom numbers drawn from a Lévy distribution.
+- [`logistic( shape, mu, s[, options] )`][@stdlib/random/logistic]: generate pseudorandom numbers drawn from a logistic distribution.
+- [`lognormal( shape, mu, sigma[, options] )`][@stdlib/random/lognormal]: generate pseudorandom numbers drawn from a lognormal distribution.
+- [`negativeBinomial( shape, r, p[, options] )`][@stdlib/random/negative-binomial]: generate pseudorandom numbers drawn from a negative binomial distribution.
+- [`normal( shape, mu, sigma[, options] )`][@stdlib/random/normal]: generate pseudorandom numbers drawn from a normal distribution.
+- [`pareto1( shape, alpha, beta[, options] )`][@stdlib/random/pareto-type1]: generate pseudorandom numbers drawn from a Pareto (Type I) distribution.
+- [`poisson( shape, lambda[, options] )`][@stdlib/random/poisson]: generate pseudorandom numbers drawn from a Poisson distribution.
+- [`rayleigh( shape, sigma[, options] )`][@stdlib/random/rayleigh]: generate pseudorandom numbers drawn from a Rayleigh distribution.
+- [`t( shape, v[, options] )`][@stdlib/random/t]: generate pseudorandom numbers drawn from a Student's t-distribution.
+- [`triangular( shape, a, b, c[, options] )`][@stdlib/random/triangular]: generate pseudorandom numbers drawn from a triangular distribution.
+- [`uniform( shape, a, b[, options] )`][@stdlib/random/uniform]: generate pseudorandom numbers drawn from a continuous uniform distribution.
+- [`weibull( shape, k, lambda[, options] )`][@stdlib/random/weibull]: generate pseudorandom numbers drawn from a Weibull distribution.
+
+
@@ -148,6 +186,72 @@ logEach( '%f, %f, %f', arr[ 0 ], arr[ 1 ], arr[ 2 ] );
[@stdlib/random/strided]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/strided
+[@stdlib/random/arcsine]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/arcsine
+
+[@stdlib/random/bernoulli]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/bernoulli
+
+[@stdlib/random/beta]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/beta
+
+[@stdlib/random/betaprime]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/betaprime
+
+[@stdlib/random/binomial]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/binomial
+
+[@stdlib/random/cauchy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/cauchy
+
+[@stdlib/random/chi]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/chi
+
+[@stdlib/random/chisquare]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/chisquare
+
+[@stdlib/random/cosine]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/cosine
+
+[@stdlib/random/discrete-uniform]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/discrete-uniform
+
+[@stdlib/random/erlang]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/erlang
+
+[@stdlib/random/exponential]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/exponential
+
+[@stdlib/random/f]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/f
+
+[@stdlib/random/frechet]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/frechet
+
+[@stdlib/random/gamma]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/gamma
+
+[@stdlib/random/geometric]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/geometric
+
+[@stdlib/random/gumbel]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/gumbel
+
+[@stdlib/random/hypergeometric]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/hypergeometric
+
+[@stdlib/random/invgamma]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/invgamma
+
+[@stdlib/random/kumaraswamy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/kumaraswamy
+
+[@stdlib/random/laplace]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/laplace
+
+[@stdlib/random/levy]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/levy
+
+[@stdlib/random/logistic]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/logistic
+
+[@stdlib/random/lognormal]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/lognormal
+
+[@stdlib/random/negative-binomial]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/negative-binomial
+
+[@stdlib/random/normal]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/normal
+
+[@stdlib/random/pareto-type1]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/pareto-type1
+
+[@stdlib/random/poisson]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/poisson
+
+[@stdlib/random/rayleigh]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/rayleigh
+
+[@stdlib/random/t]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/t
+
+[@stdlib/random/triangular]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/triangular
+
+[@stdlib/random/uniform]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/uniform
+
+[@stdlib/random/weibull]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/weibull
+
[@stdlib/random/sample]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/sample
[@stdlib/random/shuffle]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/shuffle
diff --git a/lib/node_modules/@stdlib/random/tools/README.md b/lib/node_modules/@stdlib/random/tools/README.md
index 66ee0ea317cf..90763e4e5486 100644
--- a/lib/node_modules/@stdlib/random/tools/README.md
+++ b/lib/node_modules/@stdlib/random/tools/README.md
@@ -57,6 +57,8 @@ The namespace exports the following:
- [`binaryFactory( prng, idtypes, odtypes, policies[, options] )`][@stdlib/random/tools/binary-factory]: create a function for generating pseudorandom values drawn from a binary PRNG.
- [`binary( prng, idtypes, odtypes, policies[, options] )`][@stdlib/random/tools/binary]: constructor for creating ndarrays filled with pseudorandom values drawn from a binary PRNG.
+- [`ternaryFactory( prng, idtypes, odtypes, policies[, options] )`][@stdlib/random/tools/ternary-factory]: create a function for generating pseudorandom values drawn from a ternary PRNG.
+- [`ternary( prng, idtypes, odtypes, policies[, options] )`][@stdlib/random/tools/ternary]: constructor for creating ndarrays filled with pseudorandom values drawn from a ternary PRNG.
- [`unaryFactory( prng, idtypes, odtypes, policies[, options] )`][@stdlib/random/tools/unary-factory]: create a function for generating pseudorandom values drawn from a unary PRNG.
- [`unary( prng, idtypes, odtypes, policies[, options] )`][@stdlib/random/tools/unary]: constructor for creating ndarrays filled with pseudorandom values drawn from a unary PRNG.
@@ -115,6 +117,10 @@ console.log( objectKeys( ns ) );
[@stdlib/random/tools/binary]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/tools/binary
+[@stdlib/random/tools/ternary-factory]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/tools/ternary-factory
+
+[@stdlib/random/tools/ternary]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/tools/ternary
+
[@stdlib/random/tools/unary-factory]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/tools/unary-factory
[@stdlib/random/tools/unary]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/random/tools/unary
diff --git a/lib/node_modules/@stdlib/regexp/README.md b/lib/node_modules/@stdlib/regexp/README.md
index 554cbb58c70a..b745daa5a567 100644
--- a/lib/node_modules/@stdlib/regexp/README.md
+++ b/lib/node_modules/@stdlib/regexp/README.md
@@ -77,6 +77,8 @@ The following regular expressions are currently exported:
+
+
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/README.md b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/README.md
new file mode 100644
index 000000000000..c88e6f047347
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/README.md
@@ -0,0 +1,231 @@
+
+
+# Entropy
+
+> [Half-normal][half-normal-distribution] distribution [differential entropy][entropy].
+
+
+
+
+
+The [differential entropy][entropy] (in [nats][nats]) for a [half-normal][half-normal-distribution] random variable is
+
+
+
+```math
+h\left( X \right) = \frac{1}{2}+\ln(\sigma)+\ln\left(\sqrt{\frac{\pi}{2}}\right)+\frac{\gamma}{2}
+```
+
+
+
+where `σ > 0` is the scale parameter.
+
+
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var entropy = require( '@stdlib/stats/base/dists/halfnormal/entropy' );
+```
+
+#### entropy( sigma )
+
+Returns the [differential entropy][entropy] of a [half-normal][half-normal-distribution] distribution with scale `sigma` (in [nats][nats]).
+
+```javascript
+var y = entropy( 1.0 );
+// returns ~1.014
+
+y = entropy( 5.0 );
+// returns ~2.624
+```
+
+If provided `sigma ≤ 0`, the function returns `NaN`.
+
+```javascript
+var y = entropy( -1.0 );
+// returns NaN
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var uniform = require( '@stdlib/random/array/uniform' );
+var logEachMap = require( '@stdlib/console/log-each-map' );
+var entropy = require( '@stdlib/stats/base/dists/halfnormal/entropy' );
+
+var opts = {
+ 'dtype': 'float64'
+};
+var sigma = uniform( 10, 0.1, 20.0, opts );
+
+logEachMap( 'σ: %0.4f, h(X;σ): %0.4f', sigma, entropy );
+```
+
+
+
+
+
+
+
+* * *
+
+
+
+## C APIs
+
+
+
+
+
+
+
+
+
+
+
+### Usage
+
+```c
+#include "stdlib/stats/base/dists/halfnormal/entropy.h"
+```
+
+#### stdlib_base_dists_halfnormal_entropy( sigma )
+
+Returns the differential entropy of a half-normal distribution.
+
+```c
+double out = stdlib_base_dists_halfnormal_entropy( 1.0 );
+// returns ~1.014
+```
+
+The function accepts the following arguments:
+
+- **sigma**: `[in] double` scale parameter.
+
+```c
+double stdlib_base_dists_halfnormal_entropy( const double sigma );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+### Examples
+
+```c
+#include "stdlib/stats/base/dists/halfnormal/entropy.h"
+#include
+#include
+
+static double random_uniform( const double min, const double max ) {
+ double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+ return min + ( v*(max-min) );
+}
+
+int main( void ) {
+ double sigma;
+ double y;
+ int i;
+
+ for ( i = 0; i < 25; i++ ) {
+ sigma = random_uniform( 0.1, 20.0 );
+ y = stdlib_base_dists_halfnormal_entropy( sigma );
+ printf( "σ: %lf, h(σ): %lf\n", sigma, y );
+ }
+}
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[half-normal-distribution]: https://en.wikipedia.org/wiki/Half-normal_distribution
+
+[entropy]: https://en.wikipedia.org/wiki/Entropy_%28information_theory%29
+
+[nats]: https://en.wikipedia.org/wiki/Nat_%28unit%29
+
+
+
+
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/benchmark/benchmark.js
new file mode 100644
index 000000000000..f1a97a0f41e7
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/benchmark/benchmark.js
@@ -0,0 +1,60 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var Float64Array = require( '@stdlib/array/float64' );
+var randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var pkg = require( './../package.json' ).name;
+var entropy = require( './../lib' );
+
+
+// MAIN //
+
+bench( pkg, function benchmark( b ) {
+ var sigma;
+ var len;
+ var y;
+ var i;
+
+ len = 100;
+ sigma = new Float64Array( len );
+ for ( i = 0; i < len; i++ ) {
+ sigma[ i ] = ( randu()*20.0 ) + EPS;
+ }
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ y = entropy( sigma[ i % len ] );
+ 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();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/benchmark/benchmark.native.js
new file mode 100644
index 000000000000..e9c7889040a8
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/benchmark/benchmark.native.js
@@ -0,0 +1,70 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var resolve = require( 'path' ).resolve;
+var bench = require( '@stdlib/bench' );
+var Float64Array = require( '@stdlib/array/float64' );
+var randu = require( '@stdlib/random/base/randu' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+
+
+// VARIABLES //
+
+var entropy = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+ 'skip': ( entropy instanceof Error )
+};
+
+
+// MAIN //
+
+bench( format( '%s::native', pkg ), opts, function benchmark( b ) {
+ var sigma;
+ var len;
+ var y;
+ var i;
+
+ len = 100;
+ sigma = new Float64Array( len );
+ for ( i = 0; i < len; i++ ) {
+ sigma[ i ] = ( randu() * 20.0 ) + EPS;
+ }
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ y = entropy( sigma[ i % len ] );
+ 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();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/benchmark/c/Makefile b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/benchmark/c/Makefile
new file mode 100644
index 000000000000..979768abbcec
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/benchmark/c/Makefile
@@ -0,0 +1,146 @@
+#/
+# @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.
+#/
+
+# 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/halfnormal/entropy/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/benchmark/c/benchmark.c
new file mode 100644
index 000000000000..4fe8f1e2221a
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/benchmark/c/benchmark.c
@@ -0,0 +1,139 @@
+/**
+* @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.
+*/
+
+#include "stdlib/stats/base/dists/halfnormal/entropy.h"
+#include "stdlib/constants/float64/eps.h"
+#include
+#include
+#include
+#include
+#include
+
+#define NAME "halfnormal-entropy"
+#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 [min,max).
+*
+* @param min minimum value (inclusive)
+* @param max maximum value (exclusive)
+* @return random number
+*/
+static double random_uniform( const double min, const double max ) {
+ double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+ return min + ( v*(max-min) );
+}
+
+/**
+* Runs a benchmark.
+*
+* @return elapsed time in seconds
+*/
+static double benchmark( void ) {
+ double elapsed;
+ double sigma[ 100 ];
+ double y;
+ double t;
+ int i;
+
+ for ( i = 0; i < 100; i++ ) {
+ sigma[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, STDLIB_CONSTANT_FLOAT64_EPS + 20.0 );
+ }
+
+ t = tic();
+ for ( i = 0; i < ITERATIONS; i++ ) {
+ y = stdlib_base_dists_halfnormal_entropy( sigma[ 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/halfnormal/entropy/binding.gyp b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/binding.gyp
new file mode 100644
index 000000000000..0d6508a12e99
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/binding.gyp
@@ -0,0 +1,170 @@
+# @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.
+
+# 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/halfnormal/entropy/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/docs/repl.txt
new file mode 100644
index 000000000000..d2a09d6de8df
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/docs/repl.txt
@@ -0,0 +1,27 @@
+
+{{alias}}( σ )
+ Returns the differential entropy of a half-normal distribution.
+
+ If provided `NaN` as any argument, the function returns `NaN`.
+
+ If provided `σ ≤ 0`, the function returns `NaN`.
+
+ Parameters
+ ----------
+ σ: number
+ Scale parameter.
+
+ Returns
+ -------
+ out: number
+ Entropy.
+
+ Examples
+ --------
+ > var v = {{alias}}( 1.0 )
+ ~1.014
+ > v = {{alias}}( 5.0 )
+ ~2.624
+
+ See Also
+ --------
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/docs/types/index.d.ts
new file mode 100644
index 000000000000..bdebd76e2365
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/docs/types/index.d.ts
@@ -0,0 +1,52 @@
+/*
+* @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.
+*/
+
+// TypeScript Version: 4.1
+
+/**
+* Returns the differential entropy of a half-normal distribution.
+*
+* ## Notes
+*
+* - If provided `σ ≤ 0`, the function returns `NaN`.
+*
+* @param sigma - scale parameter
+* @returns entropy
+*
+* @example
+* var v = entropy( 1.0 );
+* // returns ~1.014
+*
+* @example
+* var v = entropy( 5.0 );
+* // returns ~2.624
+*
+* @example
+* var v = entropy( -0.2 );
+* // returns NaN
+*
+* @example
+* var v = entropy( NaN );
+* // returns NaN
+*/
+declare function entropy( sigma: number ): number;
+
+
+// EXPORTS //
+
+export = entropy;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/docs/types/test.ts
new file mode 100644
index 000000000000..7ae527f801a9
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/docs/types/test.ts
@@ -0,0 +1,44 @@
+/*
+* @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 entropy = require( './index' );
+
+
+// TESTS //
+
+// The function returns a number...
+{
+ entropy( 0.3 ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided a value other than a number...
+{
+ entropy( true ); // $ExpectError
+ entropy( false ); // $ExpectError
+ entropy( null ); // $ExpectError
+ entropy( undefined ); // $ExpectError
+ entropy( '5' ); // $ExpectError
+ entropy( [] ); // $ExpectError
+ entropy( {} ); // $ExpectError
+ entropy( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided insufficient arguments...
+{
+ entropy(); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/examples/c/Makefile b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/examples/c/Makefile
new file mode 100644
index 000000000000..c8f8e9a1517b
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/examples/c/Makefile
@@ -0,0 +1,146 @@
+#/
+# @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.
+#/
+
+# 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/stats/base/dists/halfnormal/entropy/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/examples/c/example.c
new file mode 100644
index 000000000000..094c6a1f61ae
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/examples/c/example.c
@@ -0,0 +1,40 @@
+/**
+* @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.
+*/
+
+#include "stdlib/stats/base/dists/halfnormal/entropy.h"
+#include
+#include
+
+static double random_uniform( const double min, const double max ) {
+ double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+ return min + ( v*(max-min) );
+}
+
+int main( void ) {
+ double sigma;
+ double y;
+ int i;
+
+ for ( i = 0; i < 25; i++ ) {
+ sigma = random_uniform( 0.1, 20.0 );
+ y = stdlib_base_dists_halfnormal_entropy( sigma );
+ printf( "σ: %lf, h(σ): %lf\n", sigma, y );
+ }
+
+ return 0;
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/examples/index.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/examples/index.js
new file mode 100644
index 000000000000..50e0320fa7ed
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/examples/index.js
@@ -0,0 +1,30 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+var uniform = require( '@stdlib/random/array/uniform' );
+var logEachMap = require( '@stdlib/console/log-each-map' );
+var entropy = require( './../lib' );
+
+var opts = {
+ 'dtype': 'float64'
+};
+var sigma = uniform( 10, 0.1, 20.0, opts );
+
+logEachMap( 'σ: %0.4f, h(X;σ): %0.4f', sigma, entropy );
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/include.gypi b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/include.gypi
new file mode 100644
index 000000000000..bee8d41a2caf
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/include.gypi
@@ -0,0 +1,53 @@
+# @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.
+
+# 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': [
+ '=0.10.0",
+ "npm": ">2.7.0"
+ },
+ "os": [
+ "aix",
+ "darwin",
+ "freebsd",
+ "linux",
+ "macos",
+ "openbsd",
+ "sunos",
+ "win32",
+ "windows"
+ ],
+ "keywords": [
+ "stdlib",
+ "stdmath",
+ "statistics",
+ "stats",
+ "distribution",
+ "dist",
+ "entropy",
+ "information",
+ "shannon",
+ "nats",
+ "halfnormal",
+ "half-normal",
+ "univariate",
+ "continuous"
+ ]
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/src/Makefile b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/src/Makefile
new file mode 100644
index 000000000000..2caf905cedbe
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/src/Makefile
@@ -0,0 +1,70 @@
+#/
+# @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.
+#/
+
+# 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/stats/base/dists/halfnormal/entropy/src/addon.c b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/src/addon.c
new file mode 100644
index 000000000000..9d73b137a9f8
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/src/addon.c
@@ -0,0 +1,22 @@
+/**
+* @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.
+*/
+
+#include "stdlib/stats/base/dists/halfnormal/entropy.h"
+#include "stdlib/math/base/napi/unary.h"
+
+STDLIB_MATH_BASE_NAPI_MODULE_D_D( stdlib_base_dists_halfnormal_entropy )
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/src/main.c b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/src/main.c
new file mode 100644
index 000000000000..ae68f371478c
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/src/main.c
@@ -0,0 +1,43 @@
+/**
+* @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.
+*/
+
+#include "stdlib/stats/base/dists/halfnormal/entropy.h"
+#include "stdlib/math/base/assert/is_nan.h"
+#include "stdlib/math/base/special/ln.h"
+#include "stdlib/constants/float64/eulergamma.h"
+#include "stdlib/constants/float64/sqrt_half_pi.h"
+
+/**
+* Returns the differential entropy of a half-normal distribution.
+*
+* @param sigma scale parameter
+* @return entropy
+*
+* @example
+* double y = stdlib_base_dists_halfnormal_entropy( 1.0 );
+* // returns ~1.014
+*/
+double stdlib_base_dists_halfnormal_entropy( const double sigma ) {
+ if (
+ stdlib_base_is_nan( sigma ) ||
+ sigma <= 0.0
+ ) {
+ return 0.0/0.0; // NaN
+ }
+ return 0.5 + stdlib_base_ln( sigma ) + stdlib_base_ln( STDLIB_CONSTANT_FLOAT64_SQRT_HALF_PI ) + ( 0.5 * STDLIB_CONSTANT_FLOAT64_EULERGAMMA );
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/test/fixtures/julia/REQUIRE b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/test/fixtures/julia/REQUIRE
new file mode 100644
index 000000000000..98be20b58ed3
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/test/fixtures/julia/REQUIRE
@@ -0,0 +1,3 @@
+Distributions 0.23.8
+julia 1.5
+JSON 0.21
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/test/fixtures/julia/data.json b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/test/fixtures/julia/data.json
new file mode 100644
index 000000000000..8fc213512749
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/test/fixtures/julia/data.json
@@ -0,0 +1,106 @@
+{
+ "sigma": [
+ 1.0000000000000000,
+ 2.0000000000000000,
+ 0.5000000000000000,
+ 5.0000000000000000,
+ 10.0000000000000000,
+ 0.1000000000000000,
+ 20.0000000000000000,
+ 3.0000000000000000,
+ 4.0000000000000000,
+ 6.0000000000000000,
+ 7.0000000000000000,
+ 8.0000000000000000,
+ 9.0000000000000000,
+ 15.0000000000000000,
+ 25.0000000000000000,
+ 0.2500000000000000,
+ 0.7500000000000000,
+ 1.5000000000000000,
+ 2.5000000000000000,
+ 3.5000000000000000,
+ 4.5000000000000000,
+ 5.5000000000000000,
+ 6.5000000000000000,
+ 7.5000000000000000,
+ 8.5000000000000000,
+ 9.5000000000000000,
+ 11.0000000000000000,
+ 12.0000000000000000,
+ 13.0000000000000000,
+ 14.0000000000000000,
+ 16.0000000000000000,
+ 18.0000000000000000,
+ 22.0000000000000000,
+ 30.0000000000000000,
+ 50.0000000000000000,
+ 0.2000000000000000,
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+ 3.2000000000000000,
+ 3.8000000000000000,
+ 4.2000000000000000,
+ 4.8000000000000000,
+ 5.2000000000000000,
+ 6.2000000000000000
+ ],
+ "expected": [
+ 1.0143991850954936,
+ 1.7075463656554390,
+ 0.3212520045355485,
+ 2.6238370975295940,
+ 3.3169842780895396,
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+ 2.4006935462153844,
+ 2.8061586543235486,
+ 2.9603093341508075,
+ 3.0938407267753294,
+ 3.2116237624317130,
+ 3.7224493861977037,
+ 4.2332750099636950,
+ -0.3718951760243967,
+ 0.7267171126437131,
+ 1.4198642932036583,
+ 1.9306899169696490,
+ 2.2671621535908620,
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+ 2.7191472773339194,
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+ 3.0293022056377583,
+ 3.1544653485917650,
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+ 3.4993058348834940,
+ 3.5793485425570304,
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+ 4.9264221905236410,
+ -0.5950387273386064,
+ -0.1895736192304422,
+ 0.0981084532213389,
+ 0.5035735613295031,
+ 0.7912556337812842,
+ 1.1967207418894485,
+ 1.6021858499976130,
+ 1.8028565454597640,
+ 2.0440186022766520,
+ 2.1775499949011747,
+ 2.3494002518278340,
+ 2.4494837103848166,
+ 2.5830151030093390,
+ 2.6630578106828753,
+ 2.8389484771465400
+ ]
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/test/fixtures/julia/runner.jl b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/test/fixtures/julia/runner.jl
new file mode 100644
index 000000000000..2320a6262272
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/test/fixtures/julia/runner.jl
@@ -0,0 +1,72 @@
+#!/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
+
+# Constants
+GAMMA = 0.5772156649015329
+SQRT_HALF_PI = sqrt(pi / 2)
+
+"""
+ gen( sigma, name )
+
+Generate fixture data and write to file.
+
+# Arguments
+
+* `sigma`: scale parameter
+* `name::AbstractString`: output filename
+
+# Examples
+
+```julia
+julia> sigma = rand( 1000 );
+julia> gen( sigma, "data.json" );
+```
+"""
+# Get the filename:
+file = @__FILE__
+
+# Extract the directory in which this file resides:
+dir = dirname(file)
+
+function gen( sigma, name )
+ z = Array{Float64}( undef, length(sigma) );
+ for i in eachindex(sigma)
+ z[i] = 0.5 + log(sigma[i]) + log(SQRT_HALF_PI) + 0.5 * GAMMA
+ end
+
+ # Store data to be written to file as a collection:
+ data = Dict([
+ ("sigma", sigma),
+ ("expected", z)
+ ]);
+
+ # Based on the script directory, create an output filepath:
+ filepath = joinpath(dir, name)
+
+ # Write the data to the output filepath as JSON:
+ open(filepath, "w") do outfile
+ write(outfile, JSON.json(data))
+ write(outfile, "\n")
+ end
+end
+
+# Generate fixtures:
+sigma = ( rand(50) .* 20.0 ) .+ 2.0
+gen(sigma, "data.json")
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/test/fixtures/python/data.json b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/test/fixtures/python/data.json
new file mode 100644
index 000000000000..73129263dc75
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/test/fixtures/python/data.json
@@ -0,0 +1 @@
+{"sigma": [7.3120967009357, 3.659653200812621, 10.58701717900173, 9.32792554650073, 12.183810862843236, 2.5543579596362735, 8.165999622542362, 15.106230333392332, 5.792446447273344, 19.892636759646667, 9.978625573982212, 3.942886702358013, 15.63436050981639, 16.73588926025132, 5.473366414910566, 13.672304037846299, 9.353909038902724, 7.653965528864299, 3.0976870094279056, 13.904743296764625, 17.547926720119882, 16.506769775980604, 21.255181993474885, 5.415206421087507, 3.481620498651368, 8.383340820258915, 16.26015210738808, 8.311346743413441, 18.800084480980754, 4.144121393537198, 2.654097716029216, 3.983394418597051, 5.612088913756237, 11.059879925712762, 4.278639449006253, 19.244658654738323, 4.0758202148512535, 8.767298754325932, 17.471965852234845, 14.862073428571035, 14.378918034285116, 9.042158579407207, 2.9967427178876487, 18.67126852017133, 17.42226017303423, 6.577547115063776, 13.87227617293182, 4.032837330140502, 13.837087026513974, 13.12693147378764, 14.11018633395323, 12.097230126037353, 8.885980668856329, 9.49804401535346, 20.221162861675875, 16.752854043089147, 9.39889225899203, 2.026201567430151, 9.287375510570527, 20.902159642360918, 18.698596849251032, 21.719399626451207, 7.456326948878083, 21.221113359174417, 15.687099842896703, 3.5181174442427525, 8.09578930725095, 5.482425138858362, 14.045415218462432, 12.462233825061283, 15.441567642079665, 2.6644983247211167, 14.26622370624037, 15.751060947243536, 15.819020855043277, 12.682076047405868, 12.573365238364278, 3.043233727535733, 2.092012656968792, 4.612268203958317, 2.0848757032801783, 15.233121806035896, 4.1165456519582415, 4.020559868868126, 12.70169794636807, 4.347770110932692, 13.007321369629157, 20.046959934123503, 13.731147964813102, 12.812493170350947, 5.14674822466448, 18.513817919758147, 20.302320227774857, 5.786531368121029, 12.01694064866654, 8.935563397542431, 3.418815840197205, 4.679168804755047, 9.721472046217324, 16.52238853966255, 14.135535137775992, 8.364922817009685, 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diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/test/fixtures/python/runner.py b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/test/fixtures/python/runner.py
new file mode 100644
index 000000000000..9f3ff44d3062
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/test/fixtures/python/runner.py
@@ -0,0 +1,66 @@
+#!/usr/bin/env python
+#
+# @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.
+
+"""Generate HalfNormal entropy fixtures."""
+
+import os
+import json
+import numpy as np
+from numpy.random import rand
+from scipy.stats import halfnorm
+
+# Get the file path
+FILE = os.path.realpath(__file__)
+DIR = os.path.dirname(FILE)
+
+
+def gen(sigma, name):
+ """Generate entropy fixture data and write to JSON.
+
+ # Arguments
+ * `sigma`: scale parameter array
+ * `name::str`: output filename
+
+ # Example
+ ``` python
+ python> sigma = rand(1000) * 10.0 + 1.0
+ python> gen(sigma, './data.json')
+ ```
+ """
+ y = []
+ for s in np.nditer(sigma):
+ y.append(halfnorm.entropy(scale=float(s)))
+
+ data = {
+ "sigma": sigma.tolist(),
+ "expected": y
+ }
+
+ filepath = os.path.join(DIR, name)
+ with open(filepath, "w", encoding="utf-8") as outfile:
+ json.dump(data, outfile)
+
+
+def main():
+ """Generate fixture data."""
+ sigma = rand(1000) * 20.0 + 2.0
+ gen(sigma, "data.json")
+
+
+if __name__ == "__main__":
+ main()
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/test/test.js
new file mode 100644
index 000000000000..8cf1b09270db
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/test/test.js
@@ -0,0 +1,86 @@
+/**
+* @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.
+*/
+
+'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 NINF = require( '@stdlib/constants/float64/ninf' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var entropy = require( './../lib' );
+
+
+// FIXTURES //
+
+var data = require( './fixtures/julia/data.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof entropy, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'if provided `NaN` for `sigma`, the function returns `NaN`', function test( t ) {
+ var sigma = entropy( NaN );
+ t.strictEqual( isnan( sigma ), true, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided a scale `sigma` that is not a positive number, the function returns `NaN`', function test( t ) {
+ var sigma;
+
+ sigma = entropy( 0.0 );
+ t.strictEqual( isnan( sigma ), true, 'returns expected value' );
+
+ sigma = entropy( -1.0 );
+ t.strictEqual( isnan( sigma ), true, 'returns expected value' );
+
+ sigma = entropy( NINF );
+ t.strictEqual( isnan( sigma ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns the differential entropy of a half-normal distribution', function test( t ) {
+ var expected;
+ var sigma;
+ var delta;
+ var tol;
+ var i;
+ var y;
+
+ expected = data.expected;
+ sigma = data.sigma;
+ for ( i = 0; i < expected.length; i++ ) {
+ y = entropy( sigma[ i ] );
+ if ( y === expected[ i ] ) {
+ t.strictEqual( y, expected[ i ], 'sigma: '+sigma[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. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[i]+'. Δ: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/test/test.native.js
new file mode 100644
index 000000000000..23ea650718a1
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/entropy/test/test.native.js
@@ -0,0 +1,95 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var resolve = require( 'path' ).resolve;
+var tape = require( 'tape' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var abs = require( '@stdlib/math/base/special/abs' );
+var NINF = require( '@stdlib/constants/float64/ninf' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+
+
+// VARIABLES //
+
+var entropy = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+ 'skip': ( entropy instanceof Error )
+};
+
+
+// FIXTURES //
+
+var data = require( './fixtures/julia/data.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', opts, function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof entropy, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'if provided `NaN` for `sigma`, the function returns `NaN`', opts, function test( t ) {
+ var sigma = entropy( NaN );
+ t.strictEqual( isnan( sigma ), true, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided a scale `sigma` that is not a positive number, the function returns `NaN`', opts, function test( t ) {
+ var sigma;
+
+ sigma = entropy( 0.0 );
+ t.strictEqual( isnan( sigma ), true, 'returns expected value' );
+
+ sigma = entropy( -1.0 );
+ t.strictEqual( isnan( sigma ), true, 'returns expected value' );
+
+ sigma = entropy( NINF );
+ t.strictEqual( isnan( sigma ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns the differential entropy of a half-normal distribution', opts, function test( t ) {
+ var expected;
+ var sigma;
+ var delta;
+ var tol;
+ var i;
+ var y;
+
+ expected = data.expected;
+ sigma = data.sigma;
+ for ( i = 0; i < expected.length; i++ ) {
+ y = entropy( sigma[ i ] );
+ if ( y === expected[ i ] ) {
+ t.strictEqual( y, expected[ i ], 'sigma: '+sigma[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. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[i]+'. Δ: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/README.md b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/README.md
new file mode 100644
index 000000000000..c93a194adbd5
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/README.md
@@ -0,0 +1,213 @@
+
+
+# Kurtosis
+
+> [Half-normal][half-normal-distribution] distribution [excess kurtosis][kurtosis].
+
+
+
+The [excess kurtosis][kurtosis] of a [half-normal][half-normal-distribution] distribution with scale `sigma > 0` is
+
+
+
+```math
+\gamma_2 = \frac{8(\pi-3)}{(\pi-2)^2}
+```
+
+
+
+
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var kurtosis = require( '@stdlib/stats/base/dists/halfnormal/kurtosis' );
+```
+
+#### kurtosis( sigma )
+
+Returns the [excess kurtosis][kurtosis] of a [half-normal][half-normal-distribution] distribution with scale parameter `sigma`.
+
+```javascript
+var x = kurtosis( 1.0 );
+// returns ~0.869
+
+var y = kurtosis( 4.0 );
+// returns ~0.869
+```
+
+If provided `sigma <= 0`, the function returns `NaN`.
+
+```javascript
+var x = kurtosis( 0.0 );
+// returns NaN
+
+var y = kurtosis( -1.0 );
+// returns NaN
+```
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var uniform = require( '@stdlib/random/array/uniform' );
+var logEachMap = require( '@stdlib/console/log-each-map' );
+var kurtosis = require( '@stdlib/stats/base/dists/halfnormal/kurtosis' );
+
+var opts = {
+ 'dtype': 'float64'
+};
+var sigma = uniform( 10, 0.0, 20.0, opts );
+
+logEachMap( 'σ: %0.4f, Kurt(X;σ): %0.4f', sigma, kurtosis );
+```
+
+
+
+
+
+
+
+* * *
+
+
+
+## C APIs
+
+
+
+
+
+
+
+
+
+
+
+### Usage
+
+```c
+#include "stdlib/stats/base/dists/halfnormal/kurtosis.h"
+```
+
+#### stdlib_base_dists_halfnormal_kurtosis( sigma )
+
+Returns the [excess kurtosis][kurtosis] of a [half-normal][half-normal-distribution] distribution with scale parameter `sigma`.
+
+```c
+double out = stdlib_base_dists_halfnormal_kurtosis( 1.0 );
+// returns ~0.869
+```
+
+The function accepts the following arguments:
+
+- **sigma**: `[in] double` scale parameter.
+
+```c
+double stdlib_base_dists_halfnormal_kurtosis( const double sigma );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+### Examples
+
+```c
+#include "stdlib/stats/base/dists/halfnormal/kurtosis.h"
+#include
+#include
+
+static double random_uniform( const double min, const double max ) {
+ double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+ return min + ( v*(max-min) );
+}
+
+int main( void ) {
+ double sigma;
+ double y;
+ int i;
+
+ for ( i = 0; i < 10; i++ ) {
+ sigma = random_uniform( 0.0, 20.0 );
+ y = stdlib_base_dists_halfnormal_kurtosis( sigma );
+ printf( "σ: %lf, Kurt(σ): %lf\n", sigma, y );
+ }
+}
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[half-normal-distribution]: https://en.wikipedia.org/wiki/Half-normal_distribution
+
+[kurtosis]: https://en.wikipedia.org/wiki/Kurtosis
+
+
+
+
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/benchmark/benchmark.js
new file mode 100644
index 000000000000..107b148cf9bc
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/benchmark/benchmark.js
@@ -0,0 +1,59 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var Float64Array = require( '@stdlib/array/float64' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var pkg = require( './../package.json' ).name;
+var kurtosis = require( './../lib' );
+
+
+// MAIN //
+
+bench( pkg, function benchmark( b ) {
+ var sigma;
+ var len;
+ var y;
+ var i;
+
+ len = 100;
+ sigma = new Float64Array( len );
+ for ( i = 0; i < len; i++ ) {
+ sigma[ i ] = uniform( EPS, 10.0 );
+ }
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ y = kurtosis( sigma[ i % len ] );
+ 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();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/benchmark/benchmark.native.js
new file mode 100644
index 000000000000..a21f882b0380
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/benchmark/benchmark.native.js
@@ -0,0 +1,68 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var resolve = require( 'path' ).resolve;
+var bench = require( '@stdlib/bench' );
+var Float64Array = require( '@stdlib/array/float64' );
+var uniform = require( '@stdlib/random/base/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var pkg = require( './../package.json' ).name;
+
+
+// VARIABLES //
+
+var kurtosis = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+ 'skip': ( kurtosis instanceof Error )
+};
+
+
+// MAIN //
+
+bench( pkg+'::native', opts, function benchmark( b ) {
+ var sigma;
+ var len;
+ var y;
+ var i;
+
+ len = 100;
+ sigma = new Float64Array( len );
+ for ( i = 0; i < len; i++ ) {
+ sigma[ i ] = uniform( EPS, 10.0 );
+ }
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ y = kurtosis( sigma[ i % len ] );
+ 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();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/benchmark/c/Makefile b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/benchmark/c/Makefile
new file mode 100644
index 000000000000..979768abbcec
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/benchmark/c/Makefile
@@ -0,0 +1,146 @@
+#/
+# @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.
+#/
+
+# 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/halfnormal/kurtosis/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/benchmark/c/benchmark.c
new file mode 100644
index 000000000000..bcf0e12c445c
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/benchmark/c/benchmark.c
@@ -0,0 +1,138 @@
+/**
+* @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.
+*/
+
+#include "stdlib/stats/base/dists/halfnormal/kurtosis.h"
+#include
+#include
+#include
+#include
+#include
+
+#define NAME "halfnormal-kurtosis"
+#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 benchmark 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 [min,max).
+*
+* @param min minimum value (inclusive)
+* @param max maximum value (exclusive)
+* @return random number
+*/
+static double random_uniform( const double min, const double max ) {
+ double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+ return min + ( v*(max-min) );
+}
+
+/**
+* Runs a benchmark.
+*
+* @return elapsed time in seconds
+*/
+static double benchmark( void ) {
+ double elapsed;
+ double sigma[ 100 ];
+ double y;
+ double t;
+ int i;
+
+ for ( i = 0; i < 100; i++ ) {
+ sigma[ i ] = random_uniform( 0.1, 10.0 );
+ }
+
+ t = tic();
+ for ( i = 0; i < ITERATIONS; i++ ) {
+ y = stdlib_base_dists_halfnormal_kurtosis( sigma[ 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/halfnormal/kurtosis/binding.gyp b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/binding.gyp
new file mode 100644
index 000000000000..0d6508a12e99
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/binding.gyp
@@ -0,0 +1,170 @@
+# @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.
+
+# 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/halfnormal/kurtosis/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/docs/repl.txt
new file mode 100644
index 000000000000..73eefc600d00
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/docs/repl.txt
@@ -0,0 +1,33 @@
+
+{{alias}}( σ )
+ Returns the excess kurtosis of a half-normal distribution with
+ scale parameter `σ`.
+
+ If provided `NaN` as any argument, the function returns `NaN`.
+
+ If provided `σ <= 0`, the function returns `NaN`.
+
+ Parameters
+ ----------
+ σ: number
+ Scale parameter.
+
+ Returns
+ -------
+ out: number
+ Excess kurtosis.
+
+ Examples
+ --------
+ > var y = {{alias}}( 1.0 )
+ ~0.869
+ > y = {{alias}}( 4.0 )
+ ~0.869
+ > y = {{alias}}( NaN )
+ NaN
+ > y = {{alias}}( 0.0 )
+ NaN
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/docs/types/index.d.ts
new file mode 100644
index 000000000000..b18a37375603
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/docs/types/index.d.ts
@@ -0,0 +1,52 @@
+/*
+* @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.
+*/
+
+// TypeScript Version: 4.1
+
+/**
+* Returns the excess kurtosis for a half-normal distribution with scale parameter `sigma`.
+*
+* ## Notes
+*
+* - If provided `sigma <= 0`, the function returns `NaN`.
+*
+* @param sigma - scale parameter
+* @returns excess kurtosis
+*
+* @example
+* var y = kurtosis( 1.0 );
+* // returns ~0.869
+*
+* @example
+* var y = kurtosis( 3.0 );
+* // returns ~0.869
+*
+* @example
+* var y = kurtosis( NaN );
+* // returns NaN
+*
+* @example
+* var y = kurtosis( 0.0 );
+* // returns NaN
+*/
+declare function kurtosis( sigma: number ): number;
+
+
+// EXPORTS //
+
+export = kurtosis;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/docs/types/test.ts
new file mode 100644
index 000000000000..a4e0a39d0b6e
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/docs/types/test.ts
@@ -0,0 +1,42 @@
+/*
+* @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 kurtosis = require( './index' );
+
+
+// TESTS //
+
+// The function returns a number...
+{
+ kurtosis( 2 ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided a value other than a number...
+{
+ kurtosis( true ); // $ExpectError
+ kurtosis( false ); // $ExpectError
+ kurtosis( '5' ); // $ExpectError
+ kurtosis( [] ); // $ExpectError
+ kurtosis( {} ); // $ExpectError
+ kurtosis( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided insufficient arguments...
+{
+ kurtosis(); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/examples/c/Makefile b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/examples/c/Makefile
new file mode 100644
index 000000000000..c8f8e9a1517b
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/examples/c/Makefile
@@ -0,0 +1,146 @@
+#/
+# @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.
+#/
+
+# 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/stats/base/dists/halfnormal/kurtosis/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/examples/c/example.c
new file mode 100644
index 000000000000..8dc00dcc8eaf
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/examples/c/example.c
@@ -0,0 +1,38 @@
+/**
+* @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.
+*/
+
+#include "stdlib/stats/base/dists/halfnormal/kurtosis.h"
+#include
+#include
+
+static double random_uniform( const double min, const double max ) {
+ double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+ return min + ( v*(max-min) );
+}
+
+int main( void ) {
+ double sigma;
+ double y;
+ int i;
+
+ for ( i = 0; i < 10; i++ ) {
+ sigma = random_uniform( 0.1, 20.0 );
+ y = stdlib_base_dists_halfnormal_kurtosis( sigma );
+ printf( "σ: %lf, Kurt(σ): %lf\n", sigma, y );
+ }
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/examples/index.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/examples/index.js
new file mode 100644
index 000000000000..0e2715bdb08d
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/examples/index.js
@@ -0,0 +1,30 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+var uniform = require( '@stdlib/random/array/uniform' );
+var logEachMap = require( '@stdlib/console/log-each-map' );
+var kurtosis = require( './../lib' );
+
+var opts = {
+ 'dtype': 'float64'
+};
+var sigma = uniform( 10, 0.0, 20.0, opts );
+
+logEachMap( 'σ: %0.4f, Kurt(X;σ): %0.4f', sigma, kurtosis );
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/include.gypi b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/include.gypi
new file mode 100644
index 000000000000..bee8d41a2caf
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/include.gypi
@@ -0,0 +1,53 @@
+# @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.
+
+# 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': [
+ '=0.10.0",
+ "npm": ">2.7.0"
+ },
+ "os": [
+ "aix",
+ "darwin",
+ "freebsd",
+ "linux",
+ "macos",
+ "openbsd",
+ "sunos",
+ "win32",
+ "windows"
+ ],
+ "keywords": [
+ "stdlib",
+ "stdmath",
+ "statistics",
+ "stats",
+ "distribution",
+ "dist",
+ "halfnormal",
+ "half-normal",
+ "univariate",
+ "continuous",
+ "kurtosis",
+ "excess kurtosis"
+ ]
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/src/Makefile b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/src/Makefile
new file mode 100644
index 000000000000..2caf905cedbe
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/src/Makefile
@@ -0,0 +1,70 @@
+#/
+# @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.
+#/
+
+# 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/stats/base/dists/halfnormal/kurtosis/src/addon.c b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/src/addon.c
new file mode 100644
index 000000000000..020e4b783a07
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/src/addon.c
@@ -0,0 +1,22 @@
+/**
+* @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.
+*/
+
+#include "stdlib/stats/base/dists/halfnormal/kurtosis.h"
+#include "stdlib/math/base/napi/unary.h"
+
+STDLIB_MATH_BASE_NAPI_MODULE_D_D( stdlib_base_dists_halfnormal_kurtosis )
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/src/main.c b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/src/main.c
new file mode 100644
index 000000000000..db45006b34a1
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/src/main.c
@@ -0,0 +1,42 @@
+/**
+* @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.
+*/
+
+#include "stdlib/stats/base/dists/halfnormal/kurtosis.h"
+#include "stdlib/math/base/assert/is_nan.h"
+
+static const double KURTOSIS = 0.8691773036059736; // 8*(π-3) / (π-2)²
+
+/**
+* Returns the excess kurtosis of a half-normal distribution with scale parameter `sigma`.
+*
+* @param sigma scale parameter
+* @return excess kurtosis
+*
+* @example
+* double y = stdlib_base_dists_halfnormal_kurtosis( 1.0 );
+* // returns ~0.869
+*/
+double stdlib_base_dists_halfnormal_kurtosis( const double sigma ) {
+ if (
+ stdlib_base_is_nan( sigma ) ||
+ sigma <= 0.0
+ ) {
+ return 0.0 / 0.0; // NaN
+ }
+ return KURTOSIS;
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/test/fixtures/python/data.json b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/test/fixtures/python/data.json
new file mode 100644
index 000000000000..d3163a6bf6b0
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/test/fixtures/python/data.json
@@ -0,0 +1 @@
+{"sigma": [0.7302459116647342, 1.704961959568525, 4.233820319289189, 2.195888190206079, 4.869675543299393, 3.790130693695706, 4.061519802817745, 1.327292232113126, 2.9981592100860945, 2.6488562400723814], "expected": [0.8691773036059736, 0.8691773036059736, 0.8691773036059736, 0.8691773036059736, 0.8691773036059736, 0.8691773036059736, 0.8691773036059736, 0.8691773036059736, 0.8691773036059736, 0.8691773036059736]}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/test/fixtures/python/runner.py b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/test/fixtures/python/runner.py
new file mode 100644
index 000000000000..2852c388f20d
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/test/fixtures/python/runner.py
@@ -0,0 +1,77 @@
+#!/usr/bin/env python
+#
+# @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.
+
+"""Generate fixtures."""
+
+import os
+import json
+import numpy as np
+from scipy.stats import halfnorm
+
+
+# Get the file path:
+FILE = os.path.realpath(__file__)
+
+# Extract the directory in which this file resides:
+DIR = os.path.dirname(FILE)
+
+
+def gen(sigma, name):
+ """Generate fixture data and write to file.
+
+ # Arguments
+
+ * `sigma`: scale parameters
+ * `name::str`: output filename
+
+ # Examples
+
+ ``` python
+ python> sigma = np.random.rand(10) * 5.0
+ python> gen(sigma, "data.json")
+ ```
+ """
+ y = np.empty(len(sigma), dtype=float)
+
+ for i, s in enumerate(sigma):
+ # SciPy returns excess kurtosis
+ y[i] = halfnorm.stats(scale=s, moments="k")
+
+ # Store data to be written to file as a dictionary:
+ data = {
+ "sigma": sigma.tolist(),
+ "expected": y.tolist()
+ }
+
+ # Based on the script directory, create an output filepath:
+ filepath = os.path.join(DIR, name)
+
+ # Write the data to the output filepath as JSON:
+ with open(filepath, "w", encoding="utf-8") as outfile:
+ json.dump(data, outfile)
+ outfile.write("\n")
+
+
+def main():
+ """Generate fixture data."""
+ sigma = np.random.rand(10) * 5.0
+ gen(sigma, "data.json")
+
+
+if __name__ == "__main__":
+ main()
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/test/test.js
new file mode 100644
index 000000000000..97083800ca60
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/test/test.js
@@ -0,0 +1,86 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var abs = require( '@stdlib/math/base/special/abs' );
+var NINF = require( '@stdlib/constants/float64/ninf' );
+var kurtosis = require( './../lib' );
+
+
+// FIXTURES //
+
+var data = require( './fixtures/python/data.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof kurtosis, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'if provided `NaN` for `sigma`, the function returns `NaN`', function test( t ) {
+ var y = kurtosis( NaN );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided `sigma <= 0`, the function returns `NaN`', function test( t ) {
+ var y;
+
+ y = kurtosis( 0.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = kurtosis( -1.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = kurtosis( NINF );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns the excess kurtosis', function test( t ) {
+ var expected;
+ var sigma;
+ var delta;
+ var tol;
+ var y;
+ var i;
+
+ expected = data.expected;
+ sigma = data.sigma;
+ for ( i = 0; i < sigma.length; i++ ) {
+ y = kurtosis( sigma[i] );
+ if ( y === expected[i] ) {
+ t.equal( y, expected[i], 'sigma: '+sigma[i]+'. E: '+expected[i] );
+ } else {
+ delta = abs( y - expected[ i ] );
+ tol = 1.0 * EPS * abs( expected[ i ] );
+ t.ok( delta <= tol, 'within tolerance. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[i]+'. Δ: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/test/test.native.js
new file mode 100644
index 000000000000..ddff868996a6
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/kurtosis/test/test.native.js
@@ -0,0 +1,97 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var resolve = require( 'path' ).resolve;
+var tape = require( 'tape' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var abs = require( '@stdlib/math/base/special/abs' );
+var NINF = require( '@stdlib/constants/float64/ninf' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+
+
+// FIXTURES //
+
+var data = require( './fixtures/python/data.json' );
+
+
+// VARIABLES //
+
+var kurtosis = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+ 'skip': ( kurtosis instanceof Error )
+};
+
+
+// TESTS //
+
+tape( 'main export is a function', opts, function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof kurtosis, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'if provided `NaN`, the function returns `NaN`', opts, function test( t ) {
+ var y = kurtosis( NaN );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided a nonpositive `sigma`, the function returns `NaN`', opts, function test( t ) {
+ var y;
+
+ y = kurtosis( 0.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = kurtosis( -1.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = kurtosis( NINF );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns the excess kurtosis of a half-normal distribution', opts, function test( t ) {
+ var expected;
+ var delta;
+ var sigma;
+ var tol;
+ var y;
+ var i;
+
+ expected = data.expected;
+ sigma = data.sigma;
+ for ( i = 0; i < sigma.length; i++ ) {
+ y = kurtosis( sigma[i] );
+ if ( expected[i] !== null ) {
+ if ( y === expected[i] ) {
+ t.strictEqual( y, expected[i], 'sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
+ } else {
+ delta = abs( y - expected[ i ] );
+ tol = 1.0 * EPS * abs( expected[ i ] );
+ t.ok( delta <= tol, 'within tolerance. sigma: '+sigma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ }
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/README.md b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/README.md
new file mode 100644
index 000000000000..fcef5d8202d2
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/README.md
@@ -0,0 +1,234 @@
+
+
+# Mode
+
+> [half-normal][half-normal-distribution] distribution [mode][mode].
+
+
+
+
+
+The [mode][mode] for a [half-normal][half-normal-distribution] random variable with scale parameter `σ > 0` is
+
+
+
+```math
+\mathop{\mathrm{mode}}\left( X \right) = 0
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var mode = require( '@stdlib/stats/base/dists/halfnormal/mode' );
+```
+
+#### mode( sigma )
+
+Returns the [mode][mode] for a [half-normal][half-normal-distribution] distribution with scale parameter `sigma`.
+
+```javascript
+var y = mode( 1.0 );
+// returns 0.0
+
+y = mode( 2.0 );
+// returns 0.0
+```
+
+If provided `NaN` as any argument, the function returns `NaN`.
+
+```javascript
+var y = mode( NaN );
+// returns NaN
+```
+
+If provided `sigma <= 0`, the function returns `NaN`.
+
+```javascript
+var y = mode( 0.0 );
+// returns NaN
+
+y = mode( -1.0 );
+// returns NaN
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var uniform = require( '@stdlib/random/array/uniform' );
+var logEachMap = require( '@stdlib/console/log-each-map' );
+var mode = require( '@stdlib/stats/base/dists/halfnormal/mode' );
+
+var opts = {
+ 'dtype': 'float64'
+};
+var sigma = uniform( 10, 0.0, 20.0, opts );
+
+logEachMap( 'σ: %0.4f, mode(X;σ): %0.4f', sigma, mode );
+```
+
+
+
+
+
+
+
+* * *
+
+
+
+## C APIs
+
+
+
+
+
+
+
+
+
+
+
+### Usage
+
+```c
+#include "stdlib/stats/base/dists/halfnormal/mode.h"
+```
+
+#### stdlib_base_dists_halfnormal_mode( sigma )
+
+Returns the mode for a [half-normal][half-normal-distribution] distribution with scale parameter `sigma`.
+
+```c
+double out = stdlib_base_dists_halfnormal_mode( 1.0 );
+// returns 0.0
+```
+
+The function accepts the following arguments:
+
+- **sigma**: `[in] double` scale parameter.
+
+```c
+double stdlib_base_dists_halfnormal_mode( const double sigma );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+### Examples
+
+```c
+#include "stdlib/stats/base/dists/halfnormal/mode.h"
+#include
+#include
+
+static double random_uniform( const double min, const double max ) {
+ double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+ return min + ( v*(max-min) );
+}
+
+int main( void ) {
+ double sigma;
+ double y;
+ int i;
+
+ for ( i = 0; i < 10; i++ ) {
+ sigma = random_uniform( 0.1, 20.0 );
+ y = stdlib_base_dists_halfnormal_mode( sigma );
+ printf( "σ: %lf, mode(X;σ): %lf\n", sigma, y );
+ }
+}
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[half-normal-distribution]: https://en.wikipedia.org/wiki/Half-normal_distribution
+
+[mode]: https://en.wikipedia.org/wiki/Mode_%28statistics%29
+
+
+
+
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/benchmark/benchmark.js
new file mode 100644
index 000000000000..5a46bc0b6b3e
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/benchmark/benchmark.js
@@ -0,0 +1,55 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var pkg = require( './../package.json' ).name;
+var mode = require( './../lib' );
+
+
+// MAIN //
+
+bench( pkg, function benchmark( b ) {
+ var sigma;
+ var len;
+ var y;
+ var i;
+
+ len = 100;
+ sigma = uniform( len, EPS, 20.0 );
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ y = mode( sigma[ i % len ] );
+ 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();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/benchmark/benchmark.native.js
new file mode 100644
index 000000000000..f66312bd0d86
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/benchmark/benchmark.native.js
@@ -0,0 +1,64 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var resolve = require( 'path' ).resolve;
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var pkg = require( './../package.json' ).name;
+
+
+// VARIABLES //
+
+var mode = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+ 'skip': ( mode instanceof Error )
+};
+
+
+// MAIN //
+
+bench( pkg+'::native', opts, function benchmark( b ) {
+ var sigma;
+ var len;
+ var y;
+ var i;
+
+ len = 100;
+ sigma = uniform( len, EPS, 20.0 );
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ y = mode( sigma[ i % len ] );
+ 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();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/benchmark/c/Makefile b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/benchmark/c/Makefile
new file mode 100644
index 000000000000..979768abbcec
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/benchmark/c/Makefile
@@ -0,0 +1,146 @@
+#/
+# @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.
+#/
+
+# 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/halfnormal/mode/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/benchmark/c/benchmark.c
new file mode 100644
index 000000000000..6aa32c0855a4
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/benchmark/c/benchmark.c
@@ -0,0 +1,138 @@
+/**
+* @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.
+*/
+
+#include "stdlib/stats/base/dists/halfnormal/mode.h"
+#include
+#include
+#include
+#include
+#include
+
+#define NAME "halfnormal-mode"
+#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 [min,max).
+*
+* @param min minimum value (inclusive)
+* @param max maximum value (exclusive)
+* @return random number
+*/
+static double random_uniform( const double min, const double max ) {
+ double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+ return min + ( v*(max-min) );
+}
+
+/**
+* Runs a benchmark.
+*
+* @return elapsed time in seconds
+*/
+static double benchmark( void ) {
+ double sigma[ 100 ];
+ double elapsed;
+ double y;
+ double t;
+ int i;
+
+ for ( i = 0; i < 100; i++ ) {
+ sigma[ i ] = random_uniform( 0.1, 10.0 );
+ }
+
+ t = tic();
+ for ( i = 0; i < ITERATIONS; i++ ) {
+ y = stdlib_base_dists_halfnormal_mode( sigma[ 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/halfnormal/mode/binding.gyp b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/binding.gyp
new file mode 100644
index 000000000000..0d6508a12e99
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/binding.gyp
@@ -0,0 +1,170 @@
+# @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.
+
+# 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/halfnormal/mode/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/docs/repl.txt
new file mode 100644
index 000000000000..fd7fb6dd91bb
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/docs/repl.txt
@@ -0,0 +1,32 @@
+
+{{alias}}( σ )
+ Returns the mode of a half-normal distribution with scale parameter `σ`.
+
+ If provided `NaN` as any argument, the function returns `NaN`.
+
+ If provided `σ <= 0`, the function returns `NaN`.
+
+ Parameters
+ ----------
+ σ: number
+ Scale parameter.
+
+ Returns
+ -------
+ out: number
+ Mode.
+
+ Examples
+ --------
+ > var y = {{alias}}( 1.0 )
+ 0.0
+ > y = {{alias}}( 2.0 )
+ 0.0
+ > y = {{alias}}( NaN )
+ NaN
+ > y = {{alias}}( 0.0 )
+ NaN
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/docs/types/index.d.ts
new file mode 100644
index 000000000000..5bf3a9ef9496
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/docs/types/index.d.ts
@@ -0,0 +1,52 @@
+/*
+* @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.
+*/
+
+// TypeScript Version: 4.1
+
+/**
+* Returns the mode for a half-normal distribution with scale parameter `sigma`.
+*
+* ## Notes
+*
+* - If provided `sigma <= 0`, the function returns `NaN`.
+*
+* @param sigma - scale parameter
+* @returns mode
+*
+* @example
+* var y = mode( 1.0 );
+* // returns 0.0
+*
+* @example
+* var y = mode( 2.0 );
+* // returns 0.0
+*
+* @example
+* var y = mode( NaN );
+* // returns NaN
+*
+* @example
+* var y = mode( 0.0 );
+* // returns NaN
+*/
+declare function mode( sigma: number ): number;
+
+
+// EXPORTS //
+
+export = mode;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/docs/types/test.ts
new file mode 100644
index 000000000000..7884c1001788
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/docs/types/test.ts
@@ -0,0 +1,42 @@
+/*
+* @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 mode = require( './index' );
+
+
+// TESTS //
+
+// The function returns a number...
+{
+ mode( 2 ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided a value other than a number...
+{
+ mode( true ); // $ExpectError
+ mode( false ); // $ExpectError
+ mode( '5' ); // $ExpectError
+ mode( [] ); // $ExpectError
+ mode( {} ); // $ExpectError
+ mode( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided insufficient arguments...
+{
+ mode(); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/examples/c/Makefile b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/examples/c/Makefile
new file mode 100644
index 000000000000..c8f8e9a1517b
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/examples/c/Makefile
@@ -0,0 +1,146 @@
+#/
+# @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.
+#/
+
+# 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/stats/base/dists/halfnormal/mode/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/examples/c/example.c
new file mode 100644
index 000000000000..22ab1766f9c9
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/examples/c/example.c
@@ -0,0 +1,38 @@
+/**
+* @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.
+*/
+
+#include "stdlib/stats/base/dists/halfnormal/mode.h"
+#include
+#include
+
+static double random_uniform( const double min, const double max ) {
+ double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+ return min + ( v*(max-min) );
+}
+
+int main( void ) {
+ double sigma;
+ double y;
+ int i;
+
+ for ( i = 0; i < 10; i++ ) {
+ sigma = random_uniform( 0.1, 20.0 );
+ y = stdlib_base_dists_halfnormal_mode( sigma );
+ printf( "σ: %lf, mode(X;σ): %lf\n", sigma, y );
+ }
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/examples/index.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/examples/index.js
new file mode 100644
index 000000000000..218fb6a12171
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/examples/index.js
@@ -0,0 +1,30 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+var uniform = require( '@stdlib/random/array/uniform' );
+var logEachMap = require( '@stdlib/console/log-each-map' );
+var mode = require( './../lib' );
+
+var opts = {
+ 'dtype': 'float64'
+};
+var sigma = uniform( 10, 0.0, 20.0, opts );
+
+logEachMap( 'σ: %0.4f, mode(X;σ): %0.4f', sigma, mode );
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/include.gypi b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/include.gypi
new file mode 100644
index 000000000000..bee8d41a2caf
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/include.gypi
@@ -0,0 +1,53 @@
+# @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.
+
+# 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': [
+ '=0.10.0",
+ "npm": ">2.7.0"
+ },
+ "os": [
+ "aix",
+ "darwin",
+ "freebsd",
+ "linux",
+ "macos",
+ "openbsd",
+ "sunos",
+ "win32",
+ "windows"
+ ],
+ "keywords": [
+ "stdlib",
+ "stdmath",
+ "statistics",
+ "stats",
+ "distribution",
+ "dist",
+ "gaussian",
+ "half",
+ "continuous",
+ "mode",
+ "location",
+ "center",
+ "univariate"
+ ]
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/src/Makefile b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/src/Makefile
new file mode 100644
index 000000000000..2caf905cedbe
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/src/Makefile
@@ -0,0 +1,70 @@
+#/
+# @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.
+#/
+
+# 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/stats/base/dists/halfnormal/mode/src/addon.c b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/src/addon.c
new file mode 100644
index 000000000000..6477404072ef
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/src/addon.c
@@ -0,0 +1,22 @@
+/**
+* @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.
+*/
+
+#include "stdlib/stats/base/dists/halfnormal/mode.h"
+#include "stdlib/math/base/napi/unary.h"
+
+STDLIB_MATH_BASE_NAPI_MODULE_D_D( stdlib_base_dists_halfnormal_mode )
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/src/main.c b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/src/main.c
new file mode 100644
index 000000000000..6246f857db06
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/src/main.c
@@ -0,0 +1,40 @@
+/**
+* @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.
+*/
+
+#include "stdlib/stats/base/dists/halfnormal/mode.h"
+#include "stdlib/math/base/assert/is_nan.h"
+
+/**
+* Returns the mode for a half-normal distribution with scale parameter `sigma`.
+*
+* @param sigma scale parameter
+* @return mode
+*
+* @example
+* double y = stdlib_base_dists_halfnormal_mode( 1.0 );
+* // returns 0.0
+*/
+double stdlib_base_dists_halfnormal_mode( const double sigma ) {
+ if (
+ stdlib_base_is_nan( sigma ) ||
+ sigma <= 0.0
+ ) {
+ return 0.0/0.0; // NaN
+ }
+ return 0.0;
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/test/fixtures/julia/REQUIRE b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/test/fixtures/julia/REQUIRE
new file mode 100644
index 000000000000..98be20b58ed3
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/test/fixtures/julia/REQUIRE
@@ -0,0 +1,3 @@
+Distributions 0.23.8
+julia 1.5
+JSON 0.21
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/test/fixtures/julia/data.json b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/test/fixtures/julia/data.json
new file mode 100644
index 000000000000..b1da895af85a
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/test/fixtures/julia/data.json
@@ -0,0 +1 @@
+{"sigma": [0.283070975834554,4.305413177082622,3.616407262186885,4.534922878195369,2.692866865070729,2.831553282859205,0.38578607506897233,2.783285418040582,0.627785309590031,0.4058523817119841,2.841587211342962,3.614219741987088,4.81735416227758,1.8235569405805085,2.738749662789602,3.7452429786291974,1.9398258174017402,1.0925579826001086,3.280559180720959,0.4051804754931698,4.087353808040119,3.3112573877933347,0.29242080985489416,1.8901807804017146,3.740733002393891,4.364616729916133,4.35693631263498,1.457946390272401,0.07130502518596149,0.9742622056393468,1.9375721649636213,1.8725333626248475,2.1313736336655307,0.8959500042524515,4.004873594697738,4.122876887090675,1.1328096872729676,2.328758869781452,4.8381540382609955,4.630672082315971,4.972814042439111,1.8740111149928251,4.267421695992756,1.3039347323150596,3.5292803368477124,1.4522573869930133,3.963005920611724,3.119387045369825,4.782883625481235,0.18284703653251522,4.7964886915295715,2.2570835571679995,0.218721842167654,3.169134410136146,3.7346284832303454,3.927496417927693,2.7809294707223167,1.2670594483079989,0.7825202067495718,3.310900431788756, 4.67177411521046,1.2425880597889227,3.70632841713138,3.535276110148348,1.4948139313930842,4.348431429358511,3.5025992903620984,1.697174566705969,4.926817337373382,3.3072861995436953,4.224254042659224,2.048095223783055,4.845789431772384,3.261468260960485,2.769254526813408,0.43239956569375626,0.6976220404955547,4.264805955566499,1.0809272189550412,4.8235958282148585,4.5778336624017255,4.820262830852315,4.4241649313021565,1.6164576207436376,0.3946254882104139,2.5051741401819925,4.958576405939467,2.663145897525454,1.5975048668171732,1.2386657639882126,4.449129989800386,3.666707893728385,0.053642590136536716,4.400420102744763,0.6707984604313066,2.513781198746364,0.20681959341021905,4.887730099768951,3.718392429631142,4.284160629159532],"expected": [0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/test/fixtures/julia/runner.jl b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/test/fixtures/julia/runner.jl
new file mode 100644
index 000000000000..71316b6ab591
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/test/fixtures/julia/runner.jl
@@ -0,0 +1,55 @@
+#!/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( sigma, name )
+
+Generate fixture data for the mode of a half-normal distribution and write to file.
+
+# Arguments
+
+* `sigma::AbstractVector{<:Real}`: scale parameter (σ > 0)
+* `name::AbstractString`: output filename
+"""
+function gen(sigma, name)
+ expected = Array{Float64}(undef, length(sigma))
+
+ for i in eachindex(sigma)
+ if sigma[i] > 0.0
+ expected[i] = 0.0
+ else
+ expected[i] = NaN
+ end
+ end
+
+ data = Dict(
+ "sigma" => sigma,
+ "expected" => expected
+ )
+
+ open(name, "w") do io
+ write(io, JSON.json(data))
+ write(io, "\n")
+ end
+end
+
+# Generate fixtures:
+sigma = rand( 100 ) .* 5.0;
+gen( sigma, "data.json" );
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/test/test.js
new file mode 100644
index 000000000000..df69dff40fc3
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/test/test.js
@@ -0,0 +1,77 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var NINF = require( '@stdlib/constants/float64/ninf' );
+var mode = require( './../lib' );
+
+
+// FIXTURES //
+
+var data = require( './fixtures/julia/data.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof mode, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'if provided `NaN` for any parameter, the function returns `NaN`', function test( t ) {
+ var y = mode( NaN );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided a nonpositive `sigma`, the function returns `NaN`', function test( t ) {
+ var y;
+
+ y = mode( 0.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = mode( -1.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = mode( NINF );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns the mode of a half-normal distribution', function test( t ) {
+ var expected;
+ var sigma;
+ var y;
+ var i;
+
+ expected = data.expected;
+ sigma = data.sigma;
+
+ for ( i = 0; i < sigma.length; i++ ) {
+ y = mode( sigma[i] );
+ t.strictEqual( y, expected[i], 'sigma: '+sigma[i] );
+ }
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/test/test.native.js
new file mode 100644
index 000000000000..199204e89be6
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/mode/test/test.native.js
@@ -0,0 +1,85 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var resolve = require( 'path' ).resolve;
+var tape = require( 'tape' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var NINF = require( '@stdlib/constants/float64/ninf' );
+
+
+// FIXTURES //
+
+var data = require( './fixtures/julia/data.json' );
+
+
+// VARIABLES //
+
+var mode = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+ 'skip': ( mode instanceof Error )
+};
+
+
+// TESTS //
+
+tape( 'main export is a function', opts, function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof mode, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'if provided `NaN`, the function returns `NaN`', opts, function test( t ) {
+ var y = mode( NaN );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided a nonpositive `sigma`, the function returns `NaN`', opts, function test( t ) {
+ var y;
+
+ y = mode( 0.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = mode( -1.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = mode( NINF );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function returns the mode of a half-normal distribution', opts, function test( t ) {
+ var expected;
+ var sigma;
+ var y;
+ var i;
+
+ expected = data.expected;
+ sigma = data.sigma;
+ for ( i = 0; i < sigma.length; i++ ) {
+ y = mode( sigma[i] );
+ t.strictEqual( y, expected[i], 'sigma: '+sigma[i] );
+ }
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/cdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/cdf/benchmark/benchmark.js
index 9d5c93627aaf..25b255118a43 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/cdf/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/cdf/benchmark/benchmark.js
@@ -21,10 +21,10 @@
// MODULES //
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var uniform = require( '@stdlib/random/base/uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
+var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
var cdf = require( './../lib' );
@@ -33,22 +33,20 @@ var cdf = require( './../lib' );
bench( pkg, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var x;
var y;
var i;
- len = 100;
- x = new Float64Array( len );
- sigma = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- x[ i ] = uniform( -100.0, 100.0 );
- sigma[ i ] = uniform( EPS, 20.0 );
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, -100.0, 100.0, opts );
+ sigma = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = cdf( x[ i % len ], sigma[ i % len ] );
+ y = cdf( x[ i % x.length ], sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
@@ -61,25 +59,25 @@ bench( pkg, function benchmark( b ) {
b.end();
});
-bench( pkg+':factory', function benchmark( b ) {
+bench( format( '%s:factory', pkg ), function benchmark( b ) {
var sigma;
var mycdf;
- var len;
+ var opts;
var x;
var y;
var i;
sigma = 4.0;
mycdf = cdf.factory( sigma );
- len = 100;
- x = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- x[ i ] = uniform( -25.0, 25.0 );
- }
+
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, -25.0, 25.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = mycdf( x[ i % len ] );
+ y = mycdf( x[ i % x.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/cdf/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/cdf/benchmark/benchmark.native.js
index 0859a2dc6701..466e50e91588 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/cdf/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/cdf/benchmark/benchmark.native.js
@@ -22,11 +22,11 @@
var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
var tryRequire = require( '@stdlib/utils/try-require' );
+var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
@@ -40,24 +40,22 @@ var opts = {
// MAIN //
-bench( pkg+'::native', opts, function benchmark( b ) {
+bench( format( '%s::native', pkg ), opts, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var x;
var y;
var i;
- len = 100;
- x = new Float64Array( len );
- sigma = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- x[ i ] = ( randu() * 100.0 ) - 100.0;
- sigma[ i ] = ( randu() * 20.0 ) + EPS;
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, -100.0, 100.0, opts );
+ sigma = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = cdf( x[ i % len ], sigma[ i % len ] );
+ y = cdf( x[ i % x.length ], sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/entropy/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/entropy/benchmark/benchmark.js
index f25af4b32945..04318c74b7f8 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/entropy/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/entropy/benchmark/benchmark.js
@@ -21,8 +21,7 @@
// MODULES //
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
var pkg = require( './../package.json' ).name;
@@ -33,19 +32,18 @@ var entropy = require( './../lib' );
bench( pkg, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var y;
var i;
- len = 100;
- sigma = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- sigma[ i ] = ( randu()*20.0 ) + EPS;
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ sigma = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = entropy( sigma[ i % len ] );
+ y = entropy( sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/entropy/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/entropy/benchmark/benchmark.native.js
index 611e1fc50980..181b701c8545 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/entropy/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/entropy/benchmark/benchmark.native.js
@@ -22,11 +22,11 @@
var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
var tryRequire = require( '@stdlib/utils/try-require' );
+var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
@@ -40,21 +40,20 @@ var opts = {
// MAIN //
-bench( pkg+'::native', opts, function benchmark( b ) {
+bench( format( '%s::native', pkg ), opts, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var y;
var i;
- len = 100;
- sigma = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- sigma[ i ] = ( randu() * 20.0 ) + EPS;
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ sigma = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = entropy( sigma[ i % len ] );
+ y = entropy( sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/kurtosis/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/kurtosis/benchmark/benchmark.js
index e02bc866235e..7a6805071714 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/kurtosis/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/kurtosis/benchmark/benchmark.js
@@ -21,8 +21,7 @@
// MODULES //
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var uniform = require( '@stdlib/random/base/uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
var pkg = require( './../package.json' ).name;
@@ -33,19 +32,18 @@ var kurtosis = require( './../lib' );
bench( pkg, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var y;
var i;
- len = 100;
- sigma = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- sigma[ i ] = uniform( EPS, 20.0 );
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ sigma = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = kurtosis( sigma[ i % len ] );
+ y = kurtosis( sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/kurtosis/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/kurtosis/benchmark/benchmark.native.js
index 4f998bc2d279..d8555c085291 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/kurtosis/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/kurtosis/benchmark/benchmark.native.js
@@ -22,11 +22,11 @@
var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var uniform = require( '@stdlib/random/base/uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
var EPS = require( '@stdlib/constants/float64/eps' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var tryRequire = require( '@stdlib/utils/try-require' );
+var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
@@ -40,21 +40,20 @@ var opts = {
// MAIN //
-bench( pkg+'::native', opts, function benchmark( b ) {
+bench( format( '%s::native', pkg ), opts, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var y;
var i;
- len = 100;
- sigma = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- sigma[ i ] = uniform( EPS, 20.0 );
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ sigma = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = kurtosis( sigma[ i % len ] );
+ y = kurtosis( sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/logcdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/logcdf/benchmark/benchmark.js
index 063795260984..653d85d8ab7c 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/logcdf/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/logcdf/benchmark/benchmark.js
@@ -21,10 +21,10 @@
// MODULES //
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
+var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
var logcdf = require( './../lib' );
@@ -33,22 +33,20 @@ var logcdf = require( './../lib' );
bench( pkg, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var x;
var y;
var i;
- len = 100;
- x = new Float64Array( len );
- sigma = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- x[ i ] = ( randu() * 100.0 ) - 100.0;
- sigma[ i ] = ( randu() * 20.0 ) + EPS;
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, -100.0, 100.0, opts );
+ sigma = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = logcdf( x[ i % len ], sigma[ i % len ] );
+ y = logcdf( x[ i % x.length ], sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
@@ -61,9 +59,10 @@ bench( pkg, function benchmark( b ) {
b.end();
});
-bench( pkg+':factory', function benchmark( b ) {
+bench( format( '%s:factory', pkg ), function benchmark( b ) {
var mylogcdf;
var sigma;
+ var opts;
var x;
var y;
var i;
@@ -71,10 +70,14 @@ bench( pkg+':factory', function benchmark( b ) {
sigma = 4.0;
mylogcdf = logcdf.factory( sigma );
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, -25.0, 25.0, opts );
+
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- x = ( randu()*50.0 ) - 25.0;
- y = mylogcdf( x );
+ y = mylogcdf( x[ i % x.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/logcdf/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/logcdf/benchmark/benchmark.native.js
index 827afeea3c08..a224a07f1960 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/logcdf/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/logcdf/benchmark/benchmark.native.js
@@ -22,11 +22,11 @@
var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var EPS = require( '@stdlib/constants/float64/eps' );
var tryRequire = require( '@stdlib/utils/try-require' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
@@ -40,24 +40,22 @@ var opts = {
// MAIN //
-bench( pkg+'::native', opts, function benchmark( b ) {
+bench( format( '%s::native', pkg ), opts, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var x;
var y;
var i;
- len = 100;
- x = new Float64Array( len );
- sigma = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- x[ i ] = ( randu() * 100.0 ) - 100.0;
- sigma[ i ] = ( randu() * 20.0 ) + EPS;
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, -100.0, 100.0, opts );
+ sigma = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = logcdf( x[ i % len ], sigma[ i % len ] );
+ y = logcdf( x[ i % x.length ], sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/logpdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/logpdf/benchmark/benchmark.js
index a243f4dc00ac..dc7226f4faaa 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/logpdf/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/logpdf/benchmark/benchmark.js
@@ -21,10 +21,10 @@
// MODULES //
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
+var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
var logpdf = require( './../lib' );
@@ -33,21 +33,20 @@ var logpdf = require( './../lib' );
bench( pkg, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var x;
var y;
var i;
- len = 100;
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, 0.0, 100.0, opts );
+ sigma = uniform( 100, EPS, 20.0, opts );
+
b.tic();
- x = new Float64Array( len );
- sigma = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- x[ i ] = randu() * 100.0;
- sigma[ i ] = ( randu() * 20.0 ) + EPS;
- }
for ( i = 0; i < b.iterations; i++ ) {
- y = logpdf( x[ i % len ], sigma[ i % len ] );
+ y = logpdf( x[ i % x.length ], sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
@@ -60,9 +59,10 @@ bench( pkg, function benchmark( b ) {
b.end();
});
-bench( pkg+':factory', function benchmark( b ) {
+bench( format( '%s:factory', pkg ), function benchmark( b ) {
var mylogpdf;
var sigma;
+ var opts;
var x;
var y;
var i;
@@ -70,10 +70,14 @@ bench( pkg+':factory', function benchmark( b ) {
sigma = 4.0;
mylogpdf = logpdf.factory( sigma );
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, -25.0, 25.0, opts );
+
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- x = ( randu()*50.0 ) - 25.0;
- y = mylogpdf( x );
+ y = mylogpdf( x[ i % x.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/logpdf/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/logpdf/benchmark/benchmark.native.js
index b499342fb756..3c26f352f988 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/logpdf/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/logpdf/benchmark/benchmark.native.js
@@ -22,11 +22,11 @@
var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var EPS = require( '@stdlib/constants/float64/eps' );
var tryRequire = require( '@stdlib/utils/try-require' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
@@ -40,23 +40,22 @@ var opts = {
// MAIN //
-bench( pkg+'::native', opts, function benchmark( b ) {
+bench( format( '%s::native', pkg ), opts, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var x;
var y;
var i;
- len = 100;
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, 0.0, 100.0, opts );
+ sigma = uniform( 100, EPS, 20.0, opts );
+
b.tic();
- x = new Float64Array( len );
- sigma = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- x[ i ] = randu() * 100.0;
- sigma[ i ] = ( randu() * 20.0 ) + EPS;
- }
for ( i = 0; i < b.iterations; i++ ) {
- y = logpdf( x[ i % len ], sigma[ i % len ] );
+ y = logpdf( x[ i % x.length ], sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/mean/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/mean/benchmark/benchmark.js
index daa2a6d14286..7f4650a96e4c 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/mean/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/mean/benchmark/benchmark.js
@@ -21,8 +21,7 @@
// MODULES //
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
var pkg = require( './../package.json' ).name;
@@ -33,19 +32,18 @@ var mean = require( './../lib' );
bench( pkg, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var y;
var i;
- len = 100;
- sigma = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- sigma[ i ] = ( randu() * 20.0 ) + EPS;
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ sigma = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = mean( sigma[ i % len ] );
+ y = mean( sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/mean/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/mean/benchmark/benchmark.native.js
index 7789b7afe1e7..e85dab2a2032 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/mean/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/mean/benchmark/benchmark.native.js
@@ -22,11 +22,11 @@
var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
var tryRequire = require( '@stdlib/utils/try-require' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
+var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
@@ -40,21 +40,20 @@ var opts = {
// MAIN //
-bench( pkg+'::native', opts, function benchmark( b ) {
+bench( format( '%s::native', pkg ), opts, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var y;
var i;
- len = 100;
- sigma = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- sigma[ i ] = ( randu() * 20.0 ) + EPS;
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ sigma = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = mean( sigma[ i % len ] );
+ y = mean( sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/median/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/median/benchmark/benchmark.js
index 49af404e2d80..1ffbb9cc2453 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/median/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/median/benchmark/benchmark.js
@@ -21,8 +21,7 @@
// MODULES //
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
var pkg = require( './../package.json' ).name;
@@ -33,19 +32,18 @@ var median = require( './../lib' );
bench( pkg, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var y;
var i;
- len = 100;
- sigma = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- sigma[ i ] = ( randu() * 20.0 ) + EPS;
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ sigma = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = median( sigma[ i % len ] );
+ y = median( sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/median/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/median/benchmark/benchmark.native.js
index b65c5add32cd..0199b6a72707 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/median/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/median/benchmark/benchmark.native.js
@@ -22,11 +22,11 @@
var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
var tryRequire = require( '@stdlib/utils/try-require' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
+var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
@@ -40,21 +40,20 @@ var opts = {
// MAIN //
-bench( pkg+'::native', opts, function benchmark( b ) {
+bench( format( '%s::native', pkg ), opts, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var y;
var i;
- len = 100;
- sigma = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- sigma[ i ] = ( randu() * 20.0 ) + EPS;
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ sigma = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = median( sigma[ i % len ] );
+ y = median( sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/mgf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/mgf/benchmark/benchmark.js
index 10c4c15dd380..02b42192d1d6 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/mgf/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/mgf/benchmark/benchmark.js
@@ -21,10 +21,10 @@
// MODULES //
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var uniform = require( '@stdlib/random/base/uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
+var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
var mgf = require( './../lib' );
@@ -33,22 +33,20 @@ var mgf = require( './../lib' );
bench( pkg, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var t;
var y;
var i;
- len = 100;
- sigma = new Float64Array( len );
- t = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- t[ i ] = uniform( 0.0, 1.0 );
- sigma[ i ] = uniform( EPS, 5.0 );
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ t = uniform( 100, 0.0, 1.0, opts );
+ sigma = uniform( 100, EPS, 5.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = mgf( t[ i % len ], sigma[ i % len ] );
+ y = mgf( t[ i % t.length ], sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
@@ -61,9 +59,10 @@ bench( pkg, function benchmark( b ) {
b.end();
});
-bench( pkg+':factory', function benchmark( b ) {
+bench( format( '%s:factory', pkg ), function benchmark( b ) {
var sigma;
var mymgf;
+ var opts;
var x;
var y;
var i;
@@ -71,10 +70,14 @@ bench( pkg+':factory', function benchmark( b ) {
sigma = 4.0;
mymgf = mgf.factory( sigma );
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, -2.5, 2.5, opts );
+
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- x = uniform( -2.5, 2.5 );
- y = mymgf( x );
+ y = mymgf( x[ i % x.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/mgf/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/mgf/benchmark/benchmark.native.js
index 21a3645489c1..a6437d1b8cd4 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/mgf/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/mgf/benchmark/benchmark.native.js
@@ -22,11 +22,11 @@
var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var uniform = require( '@stdlib/random/base/uniform' );
-var EPS = require( '@stdlib/constants/float64/eps' );
+var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var tryRequire = require( '@stdlib/utils/try-require' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
@@ -40,24 +40,22 @@ var opts = {
// MAIN //
-bench( pkg+'::native', opts, function benchmark( b ) {
+bench( format( '%s::native', pkg ), opts, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var t;
var y;
var i;
- len = 100;
- sigma = new Float64Array( len );
- t = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- t[ i ] = uniform( 0.0, 1.0 );
- sigma[ i ] = uniform( EPS, 5.0 );
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ t = uniform( 100, 0.0, 1.0, opts );
+ sigma = uniform( 100, EPS, 5.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = mgf( t[ i % len ], sigma[ i % len ] );
+ y = mgf( t[ i % t.length ], sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/mode/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/mode/benchmark/benchmark.js
index 662da1cfaba8..b3800813b882 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/mode/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/mode/benchmark/benchmark.js
@@ -21,8 +21,7 @@
// MODULES //
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
var pkg = require( './../package.json' ).name;
@@ -33,19 +32,18 @@ var mode = require( './../lib' );
bench( pkg, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var y;
var i;
- len = 100;
- sigma = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- sigma[ i ] = ( randu() * 20.0 ) + EPS;
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ sigma = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = mode( sigma[ i % len ] );
+ y = mode( sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/mode/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/mode/benchmark/benchmark.native.js
index cba0f475edee..9ce240d82705 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/mode/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/mode/benchmark/benchmark.native.js
@@ -22,11 +22,11 @@
var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
var tryRequire = require( '@stdlib/utils/try-require' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
+var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
@@ -40,21 +40,20 @@ var opts = {
// MAIN //
-bench( pkg+'::native', opts, function benchmark( b ) {
+bench( format( '%s::native', pkg ), opts, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var y;
var i;
- len = 100;
- sigma = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- sigma[ i ] = ( randu() * 20.0 ) + EPS;
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ sigma = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = mode( sigma[ i % len ] );
+ y = mode( sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/pdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/pdf/benchmark/benchmark.js
index eaf0c1149754..ae93f7fbc560 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/pdf/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/pdf/benchmark/benchmark.js
@@ -21,10 +21,10 @@
// MODULES //
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
+var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
var pdf = require( './../lib' );
@@ -33,22 +33,20 @@ var pdf = require( './../lib' );
bench( pkg, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var x;
var y;
var i;
- len = 100;
- x = new Float64Array( len );
- sigma = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- x[ i ] = ( randu() * 100.0 ) - 100;
- sigma[ i ] = ( randu() * 20.0 ) + EPS;
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, -100.0, 100.0, opts );
+ sigma = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = pdf( x[ i % len ], sigma[ i % len ] );
+ y = pdf( x[ i % x.length ], sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
@@ -61,9 +59,10 @@ bench( pkg, function benchmark( b ) {
b.end();
});
-bench( pkg+':factory', function benchmark( b ) {
+bench( format( '%s:factory', pkg ), function benchmark( b ) {
var sigma;
var mypdf;
+ var opts;
var x;
var y;
var i;
@@ -71,10 +70,14 @@ bench( pkg+':factory', function benchmark( b ) {
sigma = 4.0;
mypdf = pdf.factory( sigma );
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, -25.0, 25.0, opts );
+
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- x = ( randu()*50.0 ) - 25.0;
- y = mypdf( x );
+ y = mypdf( x[ i % x.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/pdf/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/pdf/benchmark/benchmark.native.js
index bf018010b6ed..31109b86db25 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/pdf/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/pdf/benchmark/benchmark.native.js
@@ -22,11 +22,11 @@
var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var EPS = require( '@stdlib/constants/float64/eps' );
var tryRequire = require( '@stdlib/utils/try-require' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
@@ -40,24 +40,22 @@ var opts = {
// MAIN //
-bench( pkg+'::native', opts, function benchmark( b ) {
+bench( format( '%s::native', pkg ), opts, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var x;
var y;
var i;
- len = 100;
- x = new Float64Array( len );
- sigma = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- x[ i ] = ( randu() * 100.0 ) - 100;
- sigma[ i ] = ( randu() * 20.0 ) + EPS;
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, -100.0, 100.0, opts );
+ sigma = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = pdf( x[ i % len ], sigma[ i % len ] );
+ y = pdf( x[ i % x.length ], sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/quantile/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/quantile/benchmark/benchmark.js
index 8a680d61a68e..c00e575db260 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/quantile/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/quantile/benchmark/benchmark.js
@@ -21,10 +21,10 @@
// MODULES //
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var uniform = require( '@stdlib/random/base/uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
+var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
var quantile = require( './../lib' );
@@ -33,22 +33,20 @@ var quantile = require( './../lib' );
bench( pkg, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var p;
var y;
var i;
- len = 100;
- p = new Float64Array( len );
- sigma = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- p[ i ] = uniform( 0.0, 1.0 );
- sigma[ i ] = uniform( EPS, 20.0 );
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ p = uniform( 100, 0.0, 1.0, opts );
+ sigma = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = quantile( p[ i % len ], sigma[ i % len ] );
+ y = quantile( p[ i % p.length ], sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
@@ -61,9 +59,10 @@ bench( pkg, function benchmark( b ) {
b.end();
});
-bench( pkg+':factory', function benchmark( b ) {
+bench( format( '%s:factory', pkg ), function benchmark( b ) {
var myquantile;
var sigma;
+ var opts;
var p;
var y;
var i;
@@ -71,10 +70,10 @@ bench( pkg+':factory', function benchmark( b ) {
sigma = 4.0;
myquantile = quantile.factory( sigma );
- p = new Float64Array( 100 );
- for ( i = 0; i < 100; i++ ) {
- p[ i ] = uniform( 0.0, 1.0 );
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ p = uniform( 100, 0.0, 1.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/quantile/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/quantile/benchmark/benchmark.native.js
index 6d75dc88cd3e..495fcf7da54c 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/quantile/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/quantile/benchmark/benchmark.native.js
@@ -22,9 +22,8 @@
var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
var tryRequire = require( '@stdlib/utils/try-require' );
-var uniform = require( '@stdlib/random/base/uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
var pkg = require( './../package.json' ).name;
@@ -42,22 +41,20 @@ var opts = {
bench( pkg, opts, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var p;
var y;
var i;
- len = 100;
- p = new Float64Array( len );
- sigma = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- p[ i ] = uniform( 0.0, 1.0 );
- sigma[ i ] = uniform( EPS, 20.0 );
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ p = uniform( 100, 0.0, 1.0, opts );
+ sigma = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = quantile( p[ i % len ], sigma[ i % len ] );
+ y = quantile( p[ i % p.length ], sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/skewness/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/skewness/benchmark/benchmark.js
index 50dc1ef70515..a04cf11a37ac 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/skewness/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/skewness/benchmark/benchmark.js
@@ -21,8 +21,7 @@
// MODULES //
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var uniform = require( '@stdlib/random/base/uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
var pkg = require( './../package.json' ).name;
@@ -33,19 +32,18 @@ var skewness = require( './../lib' );
bench( pkg, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var y;
var i;
- len = 100;
- sigma = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- sigma[ i ] = uniform( EPS, 20.0 );
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ sigma = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = skewness( sigma[ i % len ] );
+ y = skewness( sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/skewness/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/skewness/benchmark/benchmark.native.js
index c690c4e6ab57..dd665beb112f 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/skewness/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/skewness/benchmark/benchmark.native.js
@@ -22,11 +22,11 @@
var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var uniform = require( '@stdlib/random/base/uniform' );
-var EPS = require( '@stdlib/constants/float64/eps' );
+var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var tryRequire = require( '@stdlib/utils/try-require' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
@@ -40,21 +40,20 @@ var opts = {
// MAIN //
-bench( pkg+'::native', opts, function benchmark( b ) {
+bench( format( '%s::native', pkg ), opts, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var y;
var i;
- len = 100;
- sigma = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- sigma[ i ] = uniform( EPS, 20.0 );
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ sigma = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = skewness( sigma[ i % len ] );
+ y = skewness( sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/stdev/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/stdev/benchmark/benchmark.js
index 2182be49e884..243c8c302006 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/stdev/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/stdev/benchmark/benchmark.js
@@ -21,8 +21,7 @@
// MODULES //
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var uniform = require( '@stdlib/random/base/uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
var pkg = require( './../package.json' ).name;
@@ -33,19 +32,18 @@ var stdev = require( './../lib' );
bench( pkg, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var y;
var i;
- len = 100;
- sigma = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- sigma[ i ] = uniform( EPS, 20.0 );
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ sigma = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = stdev( sigma[ i % len ] );
+ y = stdev( sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/stdev/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/stdev/benchmark/benchmark.native.js
index ec2098d19251..1bcd62aa023a 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/stdev/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/stdev/benchmark/benchmark.native.js
@@ -23,8 +23,7 @@
var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var uniform = require( '@stdlib/random/base/uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
var EPS = require( '@stdlib/constants/float64/eps' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var tryRequire = require( '@stdlib/utils/try-require' );
@@ -44,19 +43,18 @@ var opts = {
bench( format( '%s::native', pkg ), opts, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var y;
var i;
- len = 100;
- sigma = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- sigma[ i ] = uniform( EPS, 20.0 );
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ sigma = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = stdev( sigma[ i % len ] );
+ y = stdev( sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/variance/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/variance/benchmark/benchmark.js
index c3633afb7b23..77071afda9ed 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/variance/benchmark/benchmark.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/variance/benchmark/benchmark.js
@@ -21,8 +21,7 @@
// MODULES //
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
var pkg = require( './../package.json' ).name;
@@ -33,19 +32,18 @@ var variance = require( './../lib' );
bench( pkg, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var y;
var i;
- len = 100;
- sigma = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- sigma[ i ] = ( randu() * 20.0 ) + EPS;
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ sigma = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = variance( sigma[ i % len ] );
+ y = variance( sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/variance/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/variance/benchmark/benchmark.native.js
index 4b1fe3f3a25e..1e5b063dc729 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/rayleigh/variance/benchmark/benchmark.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/rayleigh/variance/benchmark/benchmark.native.js
@@ -22,11 +22,11 @@
var resolve = require( 'path' ).resolve;
var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
var tryRequire = require( '@stdlib/utils/try-require' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var EPS = require( '@stdlib/constants/float64/eps' );
+var format = require( '@stdlib/string/format' );
var pkg = require( './../package.json' ).name;
@@ -40,21 +40,20 @@ var opts = {
// MAIN //
-bench( pkg+'::native', opts, function benchmark( b ) {
+bench( format( '%s::native', pkg ), opts, function benchmark( b ) {
var sigma;
- var len;
+ var opts;
var y;
var i;
- len = 100;
- sigma = new Float64Array( len );
- for ( i = 0; i < len; i++ ) {
- sigma[ i ] = ( randu() * 20.0 ) + EPS;
- }
+ opts = {
+ 'dtype': 'float64'
+ };
+ sigma = uniform( 100, EPS, 20.0, opts );
b.tic();
for ( i = 0; i < b.iterations; i++ ) {
- y = variance( sigma[ i % len ] );
+ y = variance( sigma[ i % sigma.length ] );
if ( isnan( y ) ) {
b.fail( 'should not return NaN' );
}
diff --git a/lib/node_modules/@stdlib/stats/strided/srangeabs/README.md b/lib/node_modules/@stdlib/stats/strided/srangeabs/README.md
new file mode 100644
index 000000000000..95934919c2c7
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/README.md
@@ -0,0 +1,291 @@
+
+
+# srangeabs
+
+> Calculate the [range][range] of absolute values of a single-precision floating-point strided array.
+
+
+
+The [**range**][range] is defined as the difference between the maximum and minimum values.
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var srangeabs = require( '@stdlib/stats/strided/srangeabs' );
+```
+
+#### srangeabs( N, x, strideX )
+
+Computes the [range][range] of absolute values of a single-precision floating-point strided array `x`.
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+
+var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
+
+var v = srangeabs( x.length, x, 1 );
+// returns 1.0
+```
+
+The function has the following parameters:
+
+- **N**: number of indexed elements.
+- **x**: input [`Float32Array`][@stdlib/array/float32].
+- **strideX**: index increment for `x`.
+
+The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the [range][range] of absolute values of every other element in `x`,
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+
+var x = new Float32Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ] );
+
+var v = srangeabs( 4, x, 2 );
+// returns 3.0
+```
+
+Note that indexing is relative to the first index. To introduce an offset, use [`typed array`][mdn-typed-array] views.
+
+
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+
+var x0 = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
+var x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+
+var v = srangeabs( 4, x1, 2 );
+// returns 3.0
+```
+
+#### srangeabs.ndarray( N, x, strideX, offsetX )
+
+Computes the [range][range] of absolute values of a single-precision floating-point strided array using alternative indexing semantics.
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+
+var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
+
+var v = srangeabs.ndarray( x.length, x, 1, 0 );
+// returns 1.0
+```
+
+The function has the following additional parameters:
+
+- **offsetX**: starting index for `x`.
+
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameter supports indexing semantics based on a starting index. For example, to calculate the [range][range] of absolute values for every other element in `x` starting from the second element
+
+```javascript
+var Float32Array = require( '@stdlib/array/float32' );
+
+var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
+
+var v = srangeabs.ndarray( 4, x, 2, 1 );
+// returns 3.0
+```
+
+
+
+
+
+
+
+## Notes
+
+- If `N <= 0`, both functions return `NaN`.
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var srangeabs = require( '@stdlib/stats/strided/srangeabs' );
+
+var x = discreteUniform( 10, -50, 50, {
+ 'dtype': 'float32'
+});
+console.log( x );
+
+var v = srangeabs( x.length, x, 1 );
+console.log( v );
+```
+
+
+
+
+
+
+
+* * *
+
+
+
+## C APIs
+
+
+
+
+
+
+
+
+
+
+
+### Usage
+
+```c
+#include "stdlib/stats/strided/srangeabs.h"
+```
+
+#### stdlib_strided_srangeabs( N, \*X, strideX )
+
+Computes the [range][range] of absolute values of a single-precision floating-point strided array `x`.
+
+```c
+const float x[] = { 1.0f, -2.0f, 3.0f, -4.0f };
+
+float v = stdlib_strided_srangeabs( 4, x, 1 );
+// returns 3.0f
+```
+
+The function accepts the following arguments:
+
+- **N**: `[in] CBLAS_INT` number of indexed elements.
+- **X**: `[in] float*` input array.
+- **strideX**: `[in] CBLAS_INT` stride length for `X`.
+
+```c
+float stdlib_strided_srangeabs( const CBLAS_INT N, const float *X, const CBLAS_INT strideX );
+```
+
+#### stdlib_strided_srangeabs_ndarray( N, \*X, strideX, offsetX )
+
+Computes the [range][range] of absolute values of a single-precision floating-point strided array using alternative indexing semantics.
+
+```c
+const float x[] = { 1.0f, -2.0f, 3.0f, -4.0f };
+
+float v = stdlib_strided_srangeabs_ndarray( 4, x, 1, 0 );
+// returns 3.0f
+```
+
+The function accepts the following arguments:
+
+- **N**: `[in] CBLAS_INT` number of indexed elements.
+- **X**: `[in] float*` input array.
+- **strideX**: `[in] CBLAS_INT` stride length for `X`.
+- **offsetX**: `[in] CBLAS_INT` starting index for `X`.
+
+```c
+float stdlib_strided_srangeabs_ndarray( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+### Examples
+
+```c
+#include "stdlib/stats/strided/srangeabs.h"
+#include
+
+int main( void ) {
+ // Create a strided array:
+ const float x[] = { 1.0f, -2.0f, -3.0f, 4.0f, -5.0f, -6.0f, 7.0f, 8.0f };
+
+ // Specify the number of elements:
+ const int N = 4;
+
+ // Specify the stride length:
+ const int strideX = 2;
+
+ // Compute the range:
+ float v = stdlib_strided_srangeabs( N, x, strideX );
+
+ // Print the result:
+ printf( "range: %f\n", v );
+}
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[range]: https://en.wikipedia.org/wiki/Range_%28statistics%29
+
+[@stdlib/array/float32]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/float32
+
+[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray
+
+
+
+
+
+
+
+
diff --git a/lib/node_modules/@stdlib/stats/strided/srangeabs/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/strided/srangeabs/benchmark/benchmark.js
new file mode 100644
index 000000000000..6c52de50459d
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/benchmark/benchmark.js
@@ -0,0 +1,103 @@
+/**
+* @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.
+*/
+
+'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 pow = require( '@stdlib/math/base/special/pow' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var srangeabs = require( './../lib/srangeabs.js' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'float32'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var x = uniform( len, -10.0, 10.0, options );
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var v;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = srangeabs( x.length, x, 1 );
+ if ( isnanf( v ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnanf( v ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var f;
+ var i;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+ f = createBenchmark( len );
+ bench( format( '%s:len=%d', pkg, len ), f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/stats/strided/srangeabs/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/strided/srangeabs/benchmark/benchmark.native.js
new file mode 100644
index 000000000000..09b8a4f051a4
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/benchmark/benchmark.native.js
@@ -0,0 +1,108 @@
+/**
+* @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.
+*/
+
+'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 pow = require( '@stdlib/math/base/special/pow' );
+var format = require( '@stdlib/string/format' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var pkg = require( './../package.json' ).name;
+
+
+// VARIABLES //
+
+var srangeabs = tryRequire( resolve( __dirname, './../lib/srangeabs.native.js' ) );
+var opts = {
+ 'skip': ( srangeabs instanceof Error )
+};
+var options = {
+ 'dtype': 'float32'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var x = uniform( len, -10.0, 10.0, options );
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var v;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = srangeabs( x.length, x, 1 );
+ if ( isnanf( v ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnanf( v ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var f;
+ var i;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+ f = createBenchmark( len );
+ bench( format( '%s:len=%d', pkg, len ), opts, f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/stats/strided/srangeabs/benchmark/benchmark.ndarray.js b/lib/node_modules/@stdlib/stats/strided/srangeabs/benchmark/benchmark.ndarray.js
new file mode 100644
index 000000000000..4cb97c0f607d
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/benchmark/benchmark.ndarray.js
@@ -0,0 +1,103 @@
+/**
+* @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.
+*/
+
+'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 pow = require( '@stdlib/math/base/special/pow' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var srangeabs = require( './../lib/ndarray.js' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'float32'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var x = uniform( len, -10.0, 10.0, options );
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var v;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = srangeabs( x.length, x, 1, 0 );
+ if ( isnanf( v ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnanf( v ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var f;
+ var i;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+ f = createBenchmark( len );
+ bench( format( '%s:ndarray:len=%d', pkg, len ), f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/stats/strided/srangeabs/benchmark/benchmark.ndarray.native.js b/lib/node_modules/@stdlib/stats/strided/srangeabs/benchmark/benchmark.ndarray.native.js
new file mode 100644
index 000000000000..d509eee0d97d
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/benchmark/benchmark.ndarray.native.js
@@ -0,0 +1,108 @@
+/**
+* @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.
+*/
+
+'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 pow = require( '@stdlib/math/base/special/pow' );
+var format = require( '@stdlib/string/format' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var pkg = require( './../package.json' ).name;
+
+
+// VARIABLES //
+
+var srangeabs = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) );
+var opts = {
+ 'skip': ( srangeabs instanceof Error )
+};
+var options = {
+ 'dtype': 'float32'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var x = uniform( len, -10.0, 10.0, options );
+ return benchmark;
+
+ /**
+ * Benchmark function.
+ *
+ * @private
+ * @param {Benchmark} b - benchmark instance
+ */
+ function benchmark( b ) {
+ var v;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = srangeabs( x.length, x, 1, 0 );
+ if ( isnanf( v ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnanf( v ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var f;
+ var i;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+ f = createBenchmark( len );
+ bench( format( '%s::native:ndarray:len=%d', pkg, len ), opts, f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/stats/strided/srangeabs/benchmark/c/Makefile b/lib/node_modules/@stdlib/stats/strided/srangeabs/benchmark/c/Makefile
new file mode 100644
index 000000000000..0756dc7da20a
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/benchmark/c/Makefile
@@ -0,0 +1,146 @@
+#/
+# @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.
+#/
+
+# 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.length.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/strided/srangeabs/benchmark/c/benchmark.length.c b/lib/node_modules/@stdlib/stats/strided/srangeabs/benchmark/c/benchmark.length.c
new file mode 100644
index 000000000000..b9e9e333f343
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/benchmark/c/benchmark.length.c
@@ -0,0 +1,203 @@
+/**
+* @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.
+*/
+
+#include "stdlib/stats/strided/srangeabs.h"
+#include
+#include
+#include
+#include
+#include
+
+#define NAME "srangeabs"
+#define ITERATIONS 1000000
+#define REPEATS 3
+#define MIN 1
+#define MAX 6
+
+/**
+* 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 iterations number of iterations
+* @param elapsed elapsed time in seconds
+*/
+static void print_results( int iterations, 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 float rand_float( void ) {
+ int r = rand();
+ return (float)r / ( (float)RAND_MAX + 1.0f );
+}
+
+/**
+* Runs a benchmark.
+*
+* @param iterations number of iterations
+* @param len array length
+* @return elapsed time in seconds
+*/
+static double benchmark1( int iterations, int len ) {
+ double elapsed;
+ float *x;
+ float v;
+ double t;
+ int i;
+
+ x = (float *)malloc( len * sizeof( float ) );
+
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = ( rand_float() * 20000.0f ) - 10000.0f;
+ }
+ v = 0.0f;
+ t = tic();
+ for ( i = 0; i < iterations; i++ ) {
+ // cppcheck-suppress uninitvar
+ v = stdlib_strided_srangeabs( len, x, 1 );
+ if ( v != v ) {
+ printf( "should not return NaN\n" );
+ break;
+ }
+ }
+ elapsed = tic() - t;
+ if ( v != v ) {
+ printf( "should not return NaN\n" );
+ }
+ free( x );
+ return elapsed;
+}
+
+/**
+* Runs a benchmark.
+*
+* @param iterations number of iterations
+* @param len array length
+* @return elapsed time in seconds
+*/
+static double benchmark2( int iterations, int len ) {
+ double elapsed;
+ float *x;
+ float v;
+ double t;
+ int i;
+
+ x = (float *)malloc( len * sizeof( float ) );
+
+ for ( i = 0; i < len; i++ ) {
+ x[ i ] = ( rand_float() * 20000.0f ) - 10000.0f;
+ }
+ v = 0.0f;
+ t = tic();
+ for ( i = 0; i < iterations; i++ ) {
+ // cppcheck-suppress uninitvar
+ v = stdlib_strided_srangeabs_ndarray( len, x, 1, 0 );
+ if ( v != v ) {
+ printf( "should not return NaN\n" );
+ break;
+ }
+ }
+ elapsed = tic() - t;
+ if ( v != v ) {
+ printf( "should not return NaN\n" );
+ }
+ free( x );
+ return elapsed;
+}
+
+/**
+* Main execution sequence.
+*/
+int main( void ) {
+ double elapsed;
+ int count;
+ int iter;
+ int len;
+ int i;
+ int j;
+
+ // Use the current time to seed the random number generator:
+ srand( time( NULL ) );
+
+ print_version();
+ count = 0;
+ for ( i = MIN; i <= MAX; i++ ) {
+ len = pow( 10, i );
+ iter = ITERATIONS / pow( 10, i-1 );
+ for ( j = 0; j < REPEATS; j++ ) {
+ count += 1;
+ printf( "# c::%s:len=%d\n", NAME, len );
+ elapsed = benchmark1( iter, len );
+ print_results( iter, elapsed );
+ printf( "ok %d benchmark finished\n", count );
+ }
+ }
+ for ( i = MIN; i <= MAX; i++ ) {
+ len = pow( 10, i );
+ iter = ITERATIONS / pow( 10, i-1 );
+ for ( j = 0; j < REPEATS; j++ ) {
+ count += 1;
+ printf( "# c::%s:ndarray:len=%d\n", NAME, len );
+ elapsed = benchmark2( iter, len );
+ print_results( iter, elapsed );
+ printf( "ok %d benchmark finished\n", count );
+ }
+ }
+ print_summary( count, count );
+}
diff --git a/lib/node_modules/@stdlib/stats/strided/srangeabs/binding.gyp b/lib/node_modules/@stdlib/stats/strided/srangeabs/binding.gyp
new file mode 100644
index 000000000000..0d6508a12e99
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/binding.gyp
@@ -0,0 +1,170 @@
+# @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.
+
+# 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/strided/srangeabs/docs/repl.txt b/lib/node_modules/@stdlib/stats/strided/srangeabs/docs/repl.txt
new file mode 100644
index 000000000000..d1f7187caa39
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/docs/repl.txt
@@ -0,0 +1,90 @@
+
+{{alias}}( N, x, strideX )
+ Computes the range of absolute values of a single-precision
+ floating-point strided array.
+
+ The `N` and stride parameters determine which elements in the strided array
+ are accessed at runtime.
+
+ Indexing is relative to the first index. To introduce an offset, use a typed
+ array view.
+
+ If `N <= 0`, the function returns `NaN`.
+
+ Parameters
+ ----------
+ N: integer
+ Number of indexed elements.
+
+ x: Float32Array
+ Input array.
+
+ strideX: integer
+ Stride length.
+
+ Returns
+ -------
+ out: number
+ Range of absolute values.
+
+ Examples
+ --------
+ // Standard Usage:
+ > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 2.0 ] );
+ > {{alias}}( x.length, x, 1 )
+ 1.0
+
+ // Using `N` and stride parameters:
+ > x = new {{alias:@stdlib/array/float32}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );
+ > {{alias}}( 3, x, 2 )
+ 1.0
+
+ // Using view offsets:
+ > var x0 = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
+ > var x1 = new {{alias:@stdlib/array/float32}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
+ > {{alias}}( 3, x1, 2 )
+ 1.0
+
+
+{{alias}}.ndarray( N, x, strideX, offsetX )
+ Computes the range of absolute values of a single-precision
+ floating-point strided array using alternative indexing semantics.
+
+ While typed array views mandate a view offset based on the underlying
+ buffer, the `offset` parameter supports indexing semantics based on a
+ starting index.
+
+ Parameters
+ ----------
+ N: integer
+ Number of indexed elements.
+
+ x: Float32Array
+ Input array.
+
+ strideX: integer
+ Stride length.
+
+ offsetX: integer
+ Starting index.
+
+ Returns
+ -------
+ out: number
+ Range of absolute values.
+
+ Examples
+ --------
+ // Standard Usage:
+ > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 2.0 ] );
+ > {{alias}}.ndarray( x.length, x, 1, 0 )
+ 1.0
+
+ // Using offset parameter:
+ > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
+ > {{alias}}.ndarray( 3, x, 2, 1 )
+ 1.0
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/stats/strided/srangeabs/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/strided/srangeabs/docs/types/index.d.ts
new file mode 100644
index 000000000000..02ba897cc7c3
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/docs/types/index.d.ts
@@ -0,0 +1,92 @@
+/*
+* @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.
+*/
+
+// TypeScript Version: 4.1
+
+/**
+* Interface describing `srangeabs`.
+*/
+interface Routine {
+ /**
+ * Computes the range of absolute values of a single-precision floating-point strided array.
+ *
+ * @param N - number of indexed elements
+ * @param x - input array
+ * @param strideX - stride length
+ * @returns range
+ *
+ * @example
+ * var Float32Array = require( '@stdlib/array/float32' );
+ *
+ * var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
+ *
+ * var v = srangeabs( x.length, x, 1 );
+ * // returns 1.0
+ */
+ ( N: number, x: Float32Array, strideX: number ): number;
+
+ /**
+ * Computes the range of absolute values of a single-precision floating-point strided array using alternative indexing semantics.
+ *
+ * @param N - number of indexed elements
+ * @param x - input array
+ * @param strideX - stride length
+ * @param offsetX - starting index
+ * @returns range
+ *
+ * @example
+ * var Float32Array = require( '@stdlib/array/float32' );
+ *
+ * var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
+ *
+ * var v = srangeabs.ndarray( x.length, x, 1, 0 );
+ * // returns 1.0
+ */
+ ndarray( N: number, x: Float32Array, strideX: number, offsetX: number ): number;
+}
+
+/**
+* Computes the range of absolute values of a single-precision floating-point strided array.
+*
+* @param N - number of indexed elements
+* @param x - input array
+* @param strideX - stride length
+* @returns range
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
+*
+* var v = srangeabs( x.length, x, 1 );
+* // returns 1.0
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
+*
+* var v = srangeabs.ndarray( x.length, x, 1, 0 );
+* // returns 1.0
+*/
+declare var srangeabs: Routine;
+
+
+// EXPORTS //
+
+export = srangeabs;
diff --git a/lib/node_modules/@stdlib/stats/strided/srangeabs/docs/types/test.ts b/lib/node_modules/@stdlib/stats/strided/srangeabs/docs/types/test.ts
new file mode 100644
index 000000000000..81057db9946d
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/docs/types/test.ts
@@ -0,0 +1,157 @@
+/*
+* @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 srangeabs = require( './index' );
+
+
+// TESTS //
+
+// The function returns a number...
+{
+ const x = new Float32Array( 10 );
+
+ srangeabs( x.length, x, 1 ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a number...
+{
+ const x = new Float32Array( 10 );
+
+ srangeabs( '10', x, 1 ); // $ExpectError
+ srangeabs( true, x, 1 ); // $ExpectError
+ srangeabs( false, x, 1 ); // $ExpectError
+ srangeabs( null, x, 1 ); // $ExpectError
+ srangeabs( undefined, x, 1 ); // $ExpectError
+ srangeabs( [], x, 1 ); // $ExpectError
+ srangeabs( {}, x, 1 ); // $ExpectError
+ srangeabs( ( x: number ): number => x, x, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a Float32Array...
+{
+ const x = new Float32Array( 10 );
+
+ srangeabs( x.length, 10, 1 ); // $ExpectError
+ srangeabs( x.length, '10', 1 ); // $ExpectError
+ srangeabs( x.length, true, 1 ); // $ExpectError
+ srangeabs( x.length, false, 1 ); // $ExpectError
+ srangeabs( x.length, null, 1 ); // $ExpectError
+ srangeabs( x.length, undefined, 1 ); // $ExpectError
+ srangeabs( x.length, [], 1 ); // $ExpectError
+ srangeabs( x.length, {}, 1 ); // $ExpectError
+ srangeabs( x.length, ( x: number ): number => x, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a third argument which is not a number...
+{
+ const x = new Float32Array( 10 );
+
+ srangeabs( x.length, x, '10' ); // $ExpectError
+ srangeabs( x.length, x, true ); // $ExpectError
+ srangeabs( x.length, x, false ); // $ExpectError
+ srangeabs( x.length, x, null ); // $ExpectError
+ srangeabs( x.length, x, undefined ); // $ExpectError
+ srangeabs( x.length, x, [] ); // $ExpectError
+ srangeabs( x.length, x, {} ); // $ExpectError
+ srangeabs( x.length, x, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const x = new Float32Array( 10 );
+
+ srangeabs(); // $ExpectError
+ srangeabs( x.length ); // $ExpectError
+ srangeabs( x.length, x ); // $ExpectError
+ srangeabs( x.length, x, 1, 10 ); // $ExpectError
+}
+
+// Attached to main export is an `ndarray` method which returns a number...
+{
+ const x = new Float32Array( 10 );
+
+ srangeabs.ndarray( x.length, x, 1, 0 ); // $ExpectType number
+}
+
+// The compiler throws an error if the `ndarray` method is provided a first argument which is not a number...
+{
+ const x = new Float32Array( 10 );
+
+ srangeabs.ndarray( '10', x, 1, 0 ); // $ExpectError
+ srangeabs.ndarray( true, x, 1, 0 ); // $ExpectError
+ srangeabs.ndarray( false, x, 1, 0 ); // $ExpectError
+ srangeabs.ndarray( null, x, 1, 0 ); // $ExpectError
+ srangeabs.ndarray( undefined, x, 1, 0 ); // $ExpectError
+ srangeabs.ndarray( [], x, 1, 0 ); // $ExpectError
+ srangeabs.ndarray( {}, x, 1, 0 ); // $ExpectError
+ srangeabs.ndarray( ( x: number ): number => x, x, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a second argument which is not a Float32Array...
+{
+ const x = new Float32Array( 10 );
+
+ srangeabs.ndarray( x.length, 10, 1, 0 ); // $ExpectError
+ srangeabs.ndarray( x.length, '10', 1, 0 ); // $ExpectError
+ srangeabs.ndarray( x.length, true, 1, 0 ); // $ExpectError
+ srangeabs.ndarray( x.length, false, 1, 0 ); // $ExpectError
+ srangeabs.ndarray( x.length, null, 1, 0 ); // $ExpectError
+ srangeabs.ndarray( x.length, undefined, 1, 0 ); // $ExpectError
+ srangeabs.ndarray( x.length, [], 1, 0 ); // $ExpectError
+ srangeabs.ndarray( x.length, {}, 1, 0 ); // $ExpectError
+ srangeabs.ndarray( x.length, ( x: number ): number => x, 1, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a third argument which is not a number...
+{
+ const x = new Float32Array( 10 );
+
+ srangeabs.ndarray( x.length, x, '10', 0 ); // $ExpectError
+ srangeabs.ndarray( x.length, x, true, 0 ); // $ExpectError
+ srangeabs.ndarray( x.length, x, false, 0 ); // $ExpectError
+ srangeabs.ndarray( x.length, x, null, 0 ); // $ExpectError
+ srangeabs.ndarray( x.length, x, undefined, 0 ); // $ExpectError
+ srangeabs.ndarray( x.length, x, [], 0 ); // $ExpectError
+ srangeabs.ndarray( x.length, x, {}, 0 ); // $ExpectError
+ srangeabs.ndarray( x.length, x, ( x: number ): number => x, 0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided a fourth argument which is not a number...
+{
+ const x = new Float32Array( 10 );
+
+ srangeabs.ndarray( x.length, x, 1, '10' ); // $ExpectError
+ srangeabs.ndarray( x.length, x, 1, true ); // $ExpectError
+ srangeabs.ndarray( x.length, x, 1, false ); // $ExpectError
+ srangeabs.ndarray( x.length, x, 1, null ); // $ExpectError
+ srangeabs.ndarray( x.length, x, 1, undefined ); // $ExpectError
+ srangeabs.ndarray( x.length, x, 1, [] ); // $ExpectError
+ srangeabs.ndarray( x.length, x, 1, {} ); // $ExpectError
+ srangeabs.ndarray( x.length, x, 1, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the `ndarray` method is provided an unsupported number of arguments...
+{
+ const x = new Float32Array( 10 );
+
+ srangeabs.ndarray(); // $ExpectError
+ srangeabs.ndarray( x.length ); // $ExpectError
+ srangeabs.ndarray( x.length, x ); // $ExpectError
+ srangeabs.ndarray( x.length, x, 1 ); // $ExpectError
+ srangeabs.ndarray( x.length, x, 1, 0, 10 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/strided/srangeabs/examples/c/Makefile b/lib/node_modules/@stdlib/stats/strided/srangeabs/examples/c/Makefile
new file mode 100644
index 000000000000..c8f8e9a1517b
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/examples/c/Makefile
@@ -0,0 +1,146 @@
+#/
+# @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.
+#/
+
+# 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/stats/strided/srangeabs/examples/c/example.c b/lib/node_modules/@stdlib/stats/strided/srangeabs/examples/c/example.c
new file mode 100644
index 000000000000..ebab50304c9b
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/examples/c/example.c
@@ -0,0 +1,37 @@
+/**
+* @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.
+*/
+
+#include "stdlib/stats/strided/srangeabs.h"
+#include
+
+int main( void ) {
+ // Create a strided array:
+ const float x[] = { 1.0f, -2.0f, -3.0f, 4.0f, -5.0f, -6.0f, 7.0f, 8.0f };
+
+ // Specify the number of elements:
+ const int N = 4;
+
+ // Specify the stride length:
+ const int strideX = 2;
+
+ // Compute the range:
+ float v = stdlib_strided_srangeabs( N, x, strideX );
+
+ // Print the result:
+ printf( "range: %f\n", v );
+}
diff --git a/lib/node_modules/@stdlib/stats/strided/srangeabs/examples/index.js b/lib/node_modules/@stdlib/stats/strided/srangeabs/examples/index.js
new file mode 100644
index 000000000000..93129612694f
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/examples/index.js
@@ -0,0 +1,30 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var srangeabs = require( './../lib' );
+
+var x = discreteUniform( 10, -50, 50, {
+ 'dtype': 'float32'
+});
+console.log( x );
+
+var v = srangeabs( x.length, x, 1 );
+console.log( v );
diff --git a/lib/node_modules/@stdlib/stats/strided/srangeabs/include.gypi b/lib/node_modules/@stdlib/stats/strided/srangeabs/include.gypi
new file mode 100644
index 000000000000..bee8d41a2caf
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/include.gypi
@@ -0,0 +1,53 @@
+# @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.
+
+# 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': [
+ ' max ) {
+ max = v;
+ }
+ }
+ return float64ToFloat32( max - min );
+}
+
+
+// EXPORTS //
+
+module.exports = srangeabs;
diff --git a/lib/node_modules/@stdlib/stats/strided/srangeabs/lib/ndarray.native.js b/lib/node_modules/@stdlib/stats/strided/srangeabs/lib/ndarray.native.js
new file mode 100644
index 000000000000..f247781c679d
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/lib/ndarray.native.js
@@ -0,0 +1,52 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var addon = require( './../src/addon.node' );
+
+
+// MAIN //
+
+/**
+* Computes the range of absolute values of a single-precision floating-point strided array.
+*
+* @param {PositiveInteger} N - number of indexed elements
+* @param {Float32Array} x - input array
+* @param {integer} strideX - stride length
+* @param {NonNegativeInteger} offsetX - starting index
+* @returns {number} range
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
+*
+* var v = srangeabs( 4, x, 2, 1 );
+* // returns 3.0
+*/
+function srangeabs( N, x, strideX, offsetX ) {
+ return addon.ndarray( N, x, strideX, offsetX );
+}
+
+
+// EXPORTS //
+
+module.exports = srangeabs;
diff --git a/lib/node_modules/@stdlib/stats/strided/srangeabs/lib/srangeabs.js b/lib/node_modules/@stdlib/stats/strided/srangeabs/lib/srangeabs.js
new file mode 100644
index 000000000000..93673838a7d5
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/lib/srangeabs.js
@@ -0,0 +1,52 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var stride2offset = require( '@stdlib/strided/base/stride2offset' );
+var ndarray = require( './ndarray.js' );
+
+
+// MAIN //
+
+/**
+* Computes the range of absolute values of a single-precision floating-point strided array.
+*
+* @param {PositiveInteger} N - number of indexed elements
+* @param {Float32Array} x - input array
+* @param {integer} strideX - stride length
+* @returns {number} range
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
+*
+* var v = srangeabs( x.length, x, 1 );
+* // returns 1.0
+*/
+function srangeabs( N, x, strideX ) {
+ return ndarray( N, x, strideX, stride2offset( N, strideX ) );
+}
+
+
+// EXPORTS //
+
+module.exports = srangeabs;
diff --git a/lib/node_modules/@stdlib/stats/strided/srangeabs/lib/srangeabs.native.js b/lib/node_modules/@stdlib/stats/strided/srangeabs/lib/srangeabs.native.js
new file mode 100644
index 000000000000..9700ee159c80
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/lib/srangeabs.native.js
@@ -0,0 +1,51 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var addon = require( './../src/addon.node' );
+
+
+// MAIN //
+
+/**
+* Computes the range of absolute values of a single-precision floating-point strided array.
+*
+* @param {PositiveInteger} N - number of indexed elements
+* @param {Float32Array} x - input array
+* @param {integer} strideX - stride length
+* @returns {number} range
+*
+* @example
+* var Float32Array = require( '@stdlib/array/float32' );
+*
+* var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
+*
+* var v = srangeabs( x.length, x, 1 );
+* // returns 1.0
+*/
+function srangeabs( N, x, strideX ) {
+ return addon( N, x, strideX );
+}
+
+
+// EXPORTS //
+
+module.exports = srangeabs;
diff --git a/lib/node_modules/@stdlib/stats/strided/srangeabs/manifest.json b/lib/node_modules/@stdlib/stats/strided/srangeabs/manifest.json
new file mode 100644
index 000000000000..ffaba2ab991d
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/manifest.json
@@ -0,0 +1,107 @@
+{
+ "options": {
+ "task": "build",
+ "wasm": false
+ },
+ "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",
+ "wasm": false,
+ "src": [
+ "./src/main.c"
+ ],
+ "include": [
+ "./include"
+ ],
+ "libraries": [],
+ "libpath": [],
+ "dependencies": [
+ "@stdlib/blas/base/shared",
+ "@stdlib/strided/base/stride2offset",
+ "@stdlib/math/base/assert/is-nanf",
+ "@stdlib/math/base/special/absf",
+ "@stdlib/napi/export",
+ "@stdlib/napi/argv",
+ "@stdlib/napi/argv-int64",
+ "@stdlib/napi/argv-strided-float32array",
+ "@stdlib/napi/create-double"
+ ]
+ },
+ {
+ "task": "benchmark",
+ "wasm": false,
+ "src": [
+ "./src/main.c"
+ ],
+ "include": [
+ "./include"
+ ],
+ "libraries": [],
+ "libpath": [],
+ "dependencies": [
+ "@stdlib/blas/base/shared",
+ "@stdlib/strided/base/stride2offset",
+ "@stdlib/math/base/assert/is-nanf",
+ "@stdlib/math/base/special/absf"
+ ]
+ },
+ {
+ "task": "examples",
+ "wasm": false,
+ "src": [
+ "./src/main.c"
+ ],
+ "include": [
+ "./include"
+ ],
+ "libraries": [],
+ "libpath": [],
+ "dependencies": [
+ "@stdlib/blas/base/shared",
+ "@stdlib/strided/base/stride2offset",
+ "@stdlib/math/base/assert/is-nanf",
+ "@stdlib/math/base/special/absf"
+ ]
+ },
+ {
+ "task": "",
+ "wasm": true,
+ "src": [
+ "./src/main.c"
+ ],
+ "include": [
+ "./include"
+ ],
+ "libraries": [],
+ "libpath": [],
+ "dependencies": [
+ "@stdlib/blas/base/shared",
+ "@stdlib/strided/base/stride2offset",
+ "@stdlib/math/base/assert/is-nanf",
+ "@stdlib/math/base/special/absf"
+ ]
+ }
+ ]
+}
diff --git a/lib/node_modules/@stdlib/stats/strided/srangeabs/package.json b/lib/node_modules/@stdlib/stats/strided/srangeabs/package.json
new file mode 100644
index 000000000000..42fb01a56e92
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/package.json
@@ -0,0 +1,83 @@
+{
+ "name": "@stdlib/stats/strided/srangeabs",
+ "version": "0.0.0",
+ "description": "Calculate the range of absolute values of a single-precision floating-point strided array.",
+ "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",
+ "browser": "./lib/main.js",
+ "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",
+ "statistics",
+ "stats",
+ "mathematics",
+ "math",
+ "maximum",
+ "max",
+ "minimum",
+ "min",
+ "range",
+ "absolute",
+ "abs",
+ "extremes",
+ "domain",
+ "extent",
+ "dispersion",
+ "strided",
+ "strided array",
+ "typed",
+ "array",
+ "float32",
+ "float",
+ "single",
+ "float32array"
+ ],
+ "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/stats/strided/srangeabs/src/Makefile b/lib/node_modules/@stdlib/stats/strided/srangeabs/src/Makefile
new file mode 100644
index 000000000000..2caf905cedbe
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/src/Makefile
@@ -0,0 +1,70 @@
+#/
+# @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.
+#/
+
+# 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/stats/strided/srangeabs/src/addon.c b/lib/node_modules/@stdlib/stats/strided/srangeabs/src/addon.c
new file mode 100644
index 000000000000..a2f508748039
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/src/addon.c
@@ -0,0 +1,61 @@
+/**
+* @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.
+*/
+
+#include "stdlib/stats/strided/srangeabs.h"
+#include "stdlib/blas/base/shared.h"
+#include "stdlib/napi/export.h"
+#include "stdlib/napi/argv.h"
+#include "stdlib/napi/argv_int64.h"
+#include "stdlib/napi/argv_strided_float32array.h"
+#include "stdlib/napi/create_double.h"
+#include
+
+/**
+* Receives JavaScript callback invocation data.
+*
+* @param env environment under which the function is invoked
+* @param info callback data
+* @return Node-API value
+*/
+static napi_value addon( napi_env env, napi_callback_info info ) {
+ STDLIB_NAPI_ARGV( env, info, argv, argc, 3 );
+ STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 );
+ STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
+ STDLIB_NAPI_ARGV_STRIDED_FLOAT32ARRAY( env, X, N, strideX, argv, 1 );
+ STDLIB_NAPI_CREATE_DOUBLE( env, (double)API_SUFFIX(stdlib_strided_srangeabs)( N, X, strideX ), v );
+ return v;
+}
+
+/**
+* Receives JavaScript callback invocation data.
+*
+* @param env environment under which the function is invoked
+* @param info callback data
+* @return Node-API value
+*/
+static napi_value addon_method( napi_env env, napi_callback_info info ) {
+ STDLIB_NAPI_ARGV( env, info, argv, argc, 4 );
+ STDLIB_NAPI_ARGV_INT64( env, N, argv, 0 );
+ STDLIB_NAPI_ARGV_INT64( env, strideX, argv, 2 );
+ STDLIB_NAPI_ARGV_INT64( env, offsetX, argv, 3 );
+ STDLIB_NAPI_ARGV_STRIDED_FLOAT32ARRAY( env, X, N, strideX, argv, 1 );
+ STDLIB_NAPI_CREATE_DOUBLE( env, (double)API_SUFFIX(stdlib_strided_srangeabs_ndarray)( N, X, strideX, offsetX ), v );
+ return v;
+}
+
+STDLIB_NAPI_MODULE_EXPORT_FCN_WITH_METHOD( addon, "ndarray", addon_method )
diff --git a/lib/node_modules/@stdlib/stats/strided/srangeabs/src/main.c b/lib/node_modules/@stdlib/stats/strided/srangeabs/src/main.c
new file mode 100644
index 000000000000..8a92cc89acf8
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/src/main.c
@@ -0,0 +1,84 @@
+/**
+* @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.
+*/
+
+#include "stdlib/stats/strided/srangeabs.h"
+#include "stdlib/math/base/assert/is_nanf.h"
+#include "stdlib/blas/base/shared.h"
+#include "stdlib/strided/base/stride2offset.h"
+#include "stdlib/math/base/special/absf.h"
+
+/**
+* Computes the range of absolute values of a single-precision floating-point strided array.
+*
+* @param N number of indexed elements
+* @param X input array
+* @param strideX stride length
+* @return output value
+*/
+float API_SUFFIX(stdlib_strided_srangeabs)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX ) {
+ const CBLAS_INT ox = stdlib_strided_stride2offset( N, strideX );
+ return API_SUFFIX(stdlib_strided_srangeabs_ndarray)( N, X, strideX, ox );
+}
+
+/**
+* Computes the range of absolute values of a single-precision floating-point strided array using alternative indexing semantics.
+*
+* @param N number of indexed elements
+* @param X input array
+* @param strideX stride length
+* @param offsetX starting index for X
+* @return output value
+*/
+float API_SUFFIX(stdlib_strided_srangeabs_ndarray)( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ) {
+ CBLAS_INT ix;
+ CBLAS_INT i;
+ float max;
+ float min;
+ float v;
+
+ if ( N <= 0 ) {
+ return 0.0f / 0.0f; // NaN
+ }
+ if ( N == 1 || strideX == 0 ) {
+ if ( stdlib_base_is_nanf( X[ offsetX ] ) ) {
+ return X[ offsetX ];
+ }
+ return 0.0f;
+ }
+ ix = offsetX;
+ v = X[ ix ];
+ if ( stdlib_base_is_nanf( v ) ) {
+ return v;
+ }
+ min = stdlib_base_absf( v );
+ max = min;
+ for ( i = 1; i < N; i++ ) {
+ ix += strideX;
+ v = X[ ix ];
+ if ( stdlib_base_is_nanf( v ) ) {
+ return v;
+ }
+ v = stdlib_base_absf( v );
+ if ( v < min ) {
+ min = v;
+ } else if ( v > max ) {
+ max = v;
+ }
+ }
+ return max - min;
+}
diff --git a/lib/node_modules/@stdlib/stats/strided/srangeabs/test/test.js b/lib/node_modules/@stdlib/stats/strided/srangeabs/test/test.js
new file mode 100644
index 000000000000..43e238454f35
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/test/test.js
@@ -0,0 +1,82 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var proxyquire = require( 'proxyquire' );
+var IS_BROWSER = require( '@stdlib/assert/is-browser' );
+var srangeabs = require( './../lib' );
+
+
+// VARIABLES //
+
+var opts = {
+ 'skip': IS_BROWSER
+};
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof srangeabs, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'attached to the main export is a method providing an ndarray interface', function test( t ) {
+ t.strictEqual( typeof srangeabs.ndarray, 'function', 'method is a function' );
+ t.end();
+});
+
+tape( 'if a native implementation is available, the main export is the native implementation', opts, function test( t ) {
+ var srangeabs = proxyquire( './../lib', {
+ '@stdlib/utils/try-require': tryRequire
+ });
+
+ t.strictEqual( srangeabs, mock, 'returns expected value' );
+ t.end();
+
+ function tryRequire() {
+ return mock;
+ }
+
+ function mock() {
+ // Mock...
+ }
+});
+
+tape( 'if a native implementation is not available, the main export is a JavaScript implementation', opts, function test( t ) {
+ var srangeabs;
+ var main;
+
+ main = require( './../lib/srangeabs.js' );
+
+ srangeabs = proxyquire( './../lib', {
+ '@stdlib/utils/try-require': tryRequire
+ });
+
+ t.strictEqual( srangeabs, main, 'returns expected value' );
+ t.end();
+
+ function tryRequire() {
+ return new Error( 'Cannot find module' );
+ }
+});
diff --git a/lib/node_modules/@stdlib/stats/strided/srangeabs/test/test.ndarray.js b/lib/node_modules/@stdlib/stats/strided/srangeabs/test/test.ndarray.js
new file mode 100644
index 000000000000..84072e350c57
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/test/test.ndarray.js
@@ -0,0 +1,180 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var isPositiveZerof = require( '@stdlib/math/base/assert/is-positive-zerof' );
+var Float32Array = require( '@stdlib/array/float32' );
+var srangeabs = require( './../lib/ndarray.js' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof srangeabs, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 4', function test( t ) {
+ t.strictEqual( srangeabs.length, 4, 'has expected arity' );
+ t.end();
+});
+
+tape( 'the function calculates the range of absolute values of a strided array', function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ] );
+ v = srangeabs( x.length, x, 1, 0 );
+ t.strictEqual( v, 5.0, 'returns expected value' );
+
+ x = new Float32Array( [ -4.0, -5.0 ] );
+ v = srangeabs( x.length, x, 1, 0 );
+ t.strictEqual( v, 1.0, 'returns expected value' );
+
+ x = new Float32Array( [ -0.0, 0.0, -0.0 ] );
+ v = srangeabs( x.length, x, 1, 0 );
+ t.strictEqual( isPositiveZerof( v ), true, 'returns expected value' );
+
+ x = new Float32Array( [ NaN ] );
+ v = srangeabs( x.length, x, 1, 0 );
+ t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+ x = new Float32Array( [ NaN, NaN ] );
+ v = srangeabs( x.length, x, 1, 0 );
+ t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `NaN`', function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = srangeabs( 0, x, 1, 0 );
+ t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+ v = srangeabs( -1, x, 1, 0 );
+ t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided an `N` parameter equal to `1`, the function returns `0` or `NaN`', function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = srangeabs( 1, x, 1, 0 );
+ t.strictEqual( v, 0.0, 'returns expected value' );
+
+ x = new Float32Array( [ NaN, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = srangeabs( 1, x, 1, 0 );
+ t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports a `stride` parameter', function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array([
+ 1.0, // 0
+ 2.0,
+ 2.0, // 1
+ -7.0,
+ -2.0, // 2
+ 3.0,
+ 4.0, // 3
+ 2.0
+ ]);
+
+ v = srangeabs( 4, x, 2, 0 );
+
+ t.strictEqual( v, 3.0, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports a negative `stride` parameter', function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array([
+ 1.0, // 3
+ 2.0,
+ 2.0, // 2
+ -7.0,
+ -2.0, // 1
+ 3.0,
+ 4.0, // 0
+ 2.0
+ ]);
+
+ v = srangeabs( 4, x, -2, 6 );
+
+ t.strictEqual( v, 3.0, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided a `stride` parameter equal to `0`, the function returns `0` or `NaN`', function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = srangeabs( x.length, x, 0, 0 );
+ t.strictEqual( v, 0.0, 'returns expected value' );
+
+ x = new Float32Array( [ NaN, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = srangeabs( x.length, x, 0, 0 );
+ t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports an `offset` parameter', function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array([
+ 2.0,
+ 1.0, // 0
+ 2.0,
+ -2.0, // 1
+ -2.0,
+ 2.0, // 2
+ 3.0,
+ 4.0 // 3
+ ]);
+
+ v = srangeabs( 4, x, 2, 1 );
+ t.strictEqual( v, 3.0, 'returns expected value' );
+
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/strided/srangeabs/test/test.ndarray.native.js b/lib/node_modules/@stdlib/stats/strided/srangeabs/test/test.ndarray.native.js
new file mode 100644
index 000000000000..e783aaea454c
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/test/test.ndarray.native.js
@@ -0,0 +1,189 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var resolve = require( 'path' ).resolve;
+var tape = require( 'tape' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var isPositiveZerof = require( '@stdlib/math/base/assert/is-positive-zerof' );
+var Float32Array = require( '@stdlib/array/float32' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+
+
+// VARIABLES //
+
+var srangeabs = tryRequire( resolve( __dirname, './../lib/ndarray.native.js' ) );
+var opts = {
+ 'skip': ( srangeabs instanceof Error )
+};
+
+
+// TESTS //
+
+tape( 'main export is a function', opts, function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof srangeabs, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 4', opts, function test( t ) {
+ t.strictEqual( srangeabs.length, 4, 'has expected arity' );
+ t.end();
+});
+
+tape( 'the function calculates the range of absolute values of a strided array', opts, function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ] );
+ v = srangeabs( x.length, x, 1, 0 );
+ t.strictEqual( v, 5.0, 'returns expected value' );
+
+ x = new Float32Array( [ -4.0, -5.0 ] );
+ v = srangeabs( x.length, x, 1, 0 );
+ t.strictEqual( v, 1.0, 'returns expected value' );
+
+ x = new Float32Array( [ -0.0, 0.0, -0.0 ] );
+ v = srangeabs( x.length, x, 1, 0 );
+ t.strictEqual( isPositiveZerof( v ), true, 'returns expected value' );
+
+ x = new Float32Array( [ NaN ] );
+ v = srangeabs( x.length, x, 1, 0 );
+ t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+ x = new Float32Array( [ NaN, NaN ] );
+ v = srangeabs( x.length, x, 1, 0 );
+ t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `NaN`', opts, function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = srangeabs( 0, x, 1, 0 );
+ t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+ v = srangeabs( -1, x, 1, 0 );
+ t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided an `N` parameter equal to `1`, the function returns `0` or `NaN`', opts, function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = srangeabs( 1, x, 1, 0 );
+ t.strictEqual( v, 0.0, 'returns expected value' );
+
+ x = new Float32Array( [ NaN, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = srangeabs( 1, x, 1, 0 );
+ t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports a `stride` parameter', opts, function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array([
+ 1.0, // 0
+ 2.0,
+ 2.0, // 1
+ -7.0,
+ -2.0, // 2
+ 3.0,
+ 4.0, // 3
+ 2.0
+ ]);
+
+ v = srangeabs( 4, x, 2, 0 );
+
+ t.strictEqual( v, 3.0, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports a negative `stride` parameter', opts, function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array([
+ 1.0, // 3
+ 2.0,
+ 2.0, // 2
+ -7.0,
+ -2.0, // 1
+ 3.0,
+ 4.0, // 0
+ 2.0
+ ]);
+
+ v = srangeabs( 4, x, -2, 6 );
+
+ t.strictEqual( v, 3.0, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided a `stride` parameter equal to `0`, the function returns `0` or `NaN`', opts, function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = srangeabs( x.length, x, 0, 0 );
+ t.strictEqual( v, 0.0, 'returns expected value' );
+
+ x = new Float32Array( [ NaN, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = srangeabs( x.length, x, 0, 0 );
+ t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports an `offset` parameter', opts, function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array([
+ 2.0,
+ 1.0, // 0
+ 2.0,
+ -2.0, // 1
+ -2.0,
+ 2.0, // 2
+ 3.0,
+ 4.0 // 3
+ ]);
+
+ v = srangeabs( 4, x, 2, 1 );
+ t.strictEqual( v, 3.0, 'returns expected value' );
+
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/strided/srangeabs/test/test.srangeabs.js b/lib/node_modules/@stdlib/stats/strided/srangeabs/test/test.srangeabs.js
new file mode 100644
index 000000000000..4bbc3a4bcd41
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/test/test.srangeabs.js
@@ -0,0 +1,184 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var isPositiveZerof = require( '@stdlib/math/base/assert/is-positive-zerof' );
+var Float32Array = require( '@stdlib/array/float32' );
+var srangeabs = require( './../lib/srangeabs.js' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof srangeabs, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 3', function test( t ) {
+ t.strictEqual( srangeabs.length, 3, 'has expected arity' );
+ t.end();
+});
+
+tape( 'the function calculates the range of absolute values of a strided array', function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ] );
+ v = srangeabs( x.length, x, 1 );
+ t.strictEqual( v, 5.0, 'returns expected value' );
+
+ x = new Float32Array( [ -4.0, -5.0 ] );
+ v = srangeabs( x.length, x, 1 );
+ t.strictEqual( v, 1.0, 'returns expected value' );
+
+ x = new Float32Array( [ -0.0, 0.0, -0.0 ] );
+ v = srangeabs( x.length, x, 1 );
+ t.strictEqual( isPositiveZerof( v ), true, 'returns expected value' );
+
+ x = new Float32Array( [ NaN ] );
+ v = srangeabs( x.length, x, 1 );
+ t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+ x = new Float32Array( [ NaN, NaN ] );
+ v = srangeabs( x.length, x, 1 );
+ t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `NaN`', function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = srangeabs( 0, x, 1 );
+ t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+ v = srangeabs( -1, x, 1 );
+ t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided an `N` parameter equal to `1`, the function returns `0` or `NaN`', function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = srangeabs( 1, x, 1 );
+ t.strictEqual( v, 0.0, 'returns expected value' );
+
+ x = new Float32Array( [ NaN, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = srangeabs( 1, x, 1 );
+ t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports a `stride` parameter', function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array([
+ 1.0, // 0
+ 2.0,
+ 2.0, // 1
+ -7.0,
+ -2.0, // 2
+ 3.0,
+ 4.0, // 3
+ 2.0
+ ]);
+
+ v = srangeabs( 4, x, 2 );
+
+ t.strictEqual( v, 3.0, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports a negative `stride` parameter', function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array([
+ 1.0, // 3
+ 2.0,
+ 2.0, // 2
+ -7.0,
+ -2.0, // 1
+ 3.0,
+ 4.0, // 0
+ 2.0
+ ]);
+
+ v = srangeabs( 4, x, -2 );
+
+ t.strictEqual( v, 3.0, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided a `stride` parameter equal to `0`, the function returns `0` or `NaN`', function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = srangeabs( x.length, x, 0 );
+ t.strictEqual( v, 0.0, 'returns expected value' );
+
+ x = new Float32Array( [ NaN, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = srangeabs( x.length, x, 0 );
+ t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports view offsets', function test( t ) {
+ var x0;
+ var x1;
+ var v;
+
+ x0 = new Float32Array([
+ 2.0,
+ 1.0, // 0
+ 2.0,
+ -2.0, // 1
+ -2.0,
+ 2.0, // 2
+ 3.0,
+ 4.0, // 3
+ 6.0
+ ]);
+
+ x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+
+ v = srangeabs( 4, x1, 2 );
+ t.strictEqual( v, 3.0, 'returns expected value' );
+
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/strided/srangeabs/test/test.srangeabs.native.js b/lib/node_modules/@stdlib/stats/strided/srangeabs/test/test.srangeabs.native.js
new file mode 100644
index 000000000000..d4447cb310bc
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/strided/srangeabs/test/test.srangeabs.native.js
@@ -0,0 +1,275 @@
+/**
+* @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.
+*/
+
+'use strict';
+
+// MODULES //
+
+var resolve = require( 'path' ).resolve;
+var tape = require( 'tape' );
+var isnanf = require( '@stdlib/math/base/assert/is-nanf' );
+var isPositiveZerof = require( '@stdlib/math/base/assert/is-positive-zerof' );
+var Float32Array = require( '@stdlib/array/float32' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+
+
+// VARIABLES //
+
+var srangeabs = tryRequire( resolve( __dirname, './../lib/srangeabs.native.js' ) );
+var opts = {
+ 'skip': ( srangeabs instanceof Error )
+};
+
+
+// TESTS //
+
+tape( 'main export is a function', opts, function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof srangeabs, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 3', opts, function test( t ) {
+ t.strictEqual( srangeabs.length, 3, 'has expected arity' );
+ t.end();
+});
+
+tape( 'the function throws an error if provided a first argument which is not a number', opts, function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ '5',
+ true,
+ false,
+ null,
+ void 0,
+ [],
+ {},
+ function noop() {}
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ srangeabs( value, new Float32Array( 10 ), 1 );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a second argument which is not a Float32Array', opts, function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ '5',
+ 5,
+ true,
+ false,
+ null,
+ void 0,
+ [],
+ {},
+ function noop() {}
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ srangeabs( 10, value, 1 );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a third argument which is not a number', opts, function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ '5',
+ true,
+ false,
+ null,
+ void 0,
+ [],
+ {},
+ function noop() {}
+ ];
+
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ srangeabs( 10, new Float32Array( 10 ), value );
+ };
+ }
+});
+
+tape( 'the function calculates the range of absolute values of a strided array', opts, function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ] );
+ v = srangeabs( x.length, x, 1 );
+ t.strictEqual( v, 5.0, 'returns expected value' );
+
+ x = new Float32Array( [ -4.0, -5.0 ] );
+ v = srangeabs( x.length, x, 1 );
+ t.strictEqual( v, 1.0, 'returns expected value' );
+
+ x = new Float32Array( [ -0.0, 0.0, -0.0 ] );
+ v = srangeabs( x.length, x, 1 );
+ t.strictEqual( isPositiveZerof( v ), true, 'returns expected value' );
+
+ x = new Float32Array( [ NaN ] );
+ v = srangeabs( x.length, x, 1 );
+ t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+ x = new Float32Array( [ NaN, NaN ] );
+ v = srangeabs( x.length, x, 1 );
+ t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided an `N` parameter less than or equal to `0`, the function returns `NaN`', opts, function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = srangeabs( 0, x, 1 );
+ t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+ v = srangeabs( -1, x, 1 );
+ t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided an `N` parameter equal to `1`, the function returns `0` or `NaN`', opts, function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = srangeabs( 1, x, 1 );
+ t.strictEqual( v, 0.0, 'returns expected value' );
+
+ x = new Float32Array( [ NaN, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = srangeabs( 1, x, 1 );
+ t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports a `stride` parameter', opts, function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array([
+ 1.0, // 0
+ 2.0,
+ 2.0, // 1
+ -7.0,
+ -2.0, // 2
+ 3.0,
+ 4.0, // 3
+ 2.0
+ ]);
+
+ v = srangeabs( 4, x, 2 );
+
+ t.strictEqual( v, 3.0, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function supports a negative `stride` parameter', opts, function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array([
+ 1.0, // 3
+ 2.0,
+ 2.0, // 2
+ -7.0,
+ -2.0, // 1
+ 3.0,
+ 4.0, // 0
+ 2.0
+ ]);
+
+ v = srangeabs( 4, x, -2 );
+
+ t.strictEqual( v, 3.0, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided a `stride` parameter equal to `0`, the function returns `0` or `NaN`', opts, function test( t ) {
+ var x;
+ var v;
+
+ x = new Float32Array( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = srangeabs( x.length, x, 0 );
+ t.strictEqual( v, 0.0, 'returns expected value' );
+
+ x = new Float32Array( [ NaN, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = srangeabs( x.length, x, 0 );
+ t.strictEqual( isnanf( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function supports view offsets', opts, function test( t ) {
+ var x0;
+ var x1;
+ var v;
+
+ x0 = new Float32Array([
+ 2.0,
+ 1.0, // 0
+ 2.0,
+ -2.0, // 1
+ -2.0,
+ 2.0, // 2
+ 3.0,
+ 4.0, // 3
+ 6.0
+ ]);
+
+ x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
+
+ v = srangeabs( 4, x1, 2 );
+ t.strictEqual( v, 3.0, 'returns expected value' );
+
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/utils/README.md b/lib/node_modules/@stdlib/utils/README.md
index ba0bda00cb85..54b3266c530d 100644
--- a/lib/node_modules/@stdlib/utils/README.md
+++ b/lib/node_modules/@stdlib/utils/README.md
@@ -62,8 +62,6 @@ The namespace has the following sub-namespaces:
- [`any( collection )`][@stdlib/utils/any]: test whether at least one element in a collection is truthy.
- [`append( collection1, collection2 )`][@stdlib/utils/append]: add elements from one collection to the end of another collection.
- [`bifurcateBy( collection, [options,] predicate )`][@stdlib/utils/bifurcate-by]: split values into two groups according to a predicate function.
-- [`bifurcateIn( obj, [options,] predicate )`][@stdlib/utils/bifurcate-in]: split an object's **own** and **inherited** property values into two groups according to a predicate function.
-- [`bifurcateOwn( obj, [options,] predicate )`][@stdlib/utils/bifurcate-own]: split an object's **own** property values into two groups according to a predicate function.
- [`bifurcate( collection, [options,] filter )`][@stdlib/utils/bifurcate]: split values into two groups.
- [`countBy( collection, [options,] indicator )`][@stdlib/utils/count-by]: group values according to an indicator function and return group counts.
- [`everyByRight( collection, predicate[, thisArg ] )`][@stdlib/utils/every-by-right]: test whether all elements in a collection pass a test implemented by a predicate function, iterating from right to left.
@@ -129,9 +127,6 @@ The namespace has the following sub-namespaces:
--
[`commonKeys( obj1, obj2[, obj3[,...,objN]] )`][@stdlib/utils/common-keys]: return the common own property names of two or more objects.
--
[`deepGet( obj, path[, options] )`][@stdlib/utils/deep-get]: get a nested property value.
--
[`deepSet( obj, path, value[, options] )`][@stdlib/utils/deep-set]: set a nested property value.
-
[`setConfigurableReadOnlyAccessor( obj, prop, getter )`][@stdlib/utils/define-configurable-read-only-accessor]: define a configurable **read-only** accessor.
-
[`setConfigurableReadOnly( obj, prop, value )`][@stdlib/utils/define-configurable-read-only-property]: define a configurable **read-only** property.
-
[`setConfigurableReadWriteAccessor( obj, prop, getter, setter )`][@stdlib/utils/define-configurable-read-write-accessor]: define a configurable **read-write** accessor.
@@ -157,8 +152,6 @@ The namespace has the following sub-namespaces:
-
[`enumerablePropertySymbolsIn( obj )`][@stdlib/utils/enumerable-property-symbols-in]: return an array of an object's own and inherited enumerable symbol properties.
-
[`enumerablePropertySymbols( obj )`][@stdlib/utils/enumerable-property-symbols]: return an array of an object's own enumerable symbol properties.
-
[`flattenObject( obj[, options] )`][@stdlib/utils/flatten-object]: flatten an object.
--
[`forIn( obj, fcn[, thisArg ] )`][@stdlib/utils/for-in]: invoke a function for each own and inherited enumerable property of an object.
--
[`forOwn( obj, fcn[, thisArg ] )`][@stdlib/utils/for-own]: invoke a function for each own enumerable property of an object.
-
[`getPrototypeOf( value )`][@stdlib/utils/get-prototype-of]: return the prototype of a provided object.
-
[`inheritedEnumerableProperties( obj[, level] )`][@stdlib/utils/inherited-enumerable-properties]: return an array of an object's inherited enumerable property names and symbols.
-
[`inheritedEnumerablePropertySymbols( obj[, level] )`][@stdlib/utils/inherited-enumerable-property-symbols]: return an array of an object's inherited enumerable symbol properties.
@@ -175,7 +168,6 @@ The namespace has the following sub-namespaces:
-
[`inheritedWritablePropertyNames( obj[, level] )`][@stdlib/utils/inherited-writable-property-names]: return an array of an object's inherited writable property names.
-
[`inheritedWritablePropertySymbols( obj[, level] )`][@stdlib/utils/inherited-writable-property-symbols]: return an array of an object's inherited writable symbol properties.
-
[`keysIn( obj )`][@stdlib/utils/keys-in]: return an array of an object's own and inherited enumerable property names.
--
[`lowercaseKeys( obj )`][@stdlib/utils/lowercase-keys]: convert each object key to lowercase.
-
[`mapKeys( obj, transform )`][@stdlib/utils/map-keys]: map keys from one object to a new object having the same values.
-
[`mapValues( obj, transform )`][@stdlib/utils/map-values]: map values from one object to a new object having the same keys.
-
[`merge( target, source1[, source2[,...,sourceN]] )`][@stdlib/utils/merge]: merge and extend objects.
@@ -186,8 +178,6 @@ The namespace has the following sub-namespaces:
-
[`nonEnumerablePropertySymbolsIn( obj )`][@stdlib/utils/nonenumerable-property-symbols-in]: return an array of an object's own and inherited non-enumerable symbol properties.
-
[`nonEnumerablePropertySymbols( obj )`][@stdlib/utils/nonenumerable-property-symbols]: return an array of an object's own non-enumerable symbol properties.
-
[`nonIndexKeys( obj )`][@stdlib/utils/nonindex-keys]: return an array of an object's own enumerable property names which are not integer indices.
--
[`objectInverseBy( obj, [options,] transform )`][@stdlib/utils/object-inverse-by]: invert an object, such that keys become values and values become keys, according to a transform function.
--
[`objectInverse( obj[, options] )`][@stdlib/utils/object-inverse]: invert an object, such that keys become values and values become keys.
-
[`omitBy( obj, predicate )`][@stdlib/utils/omit-by]: return a partial object copy excluding properties for which a predicate (function) returns a truthy value.
-
[`omit( obj, keys )`][@stdlib/utils/omit]: return a partial object copy excluding specified keys.
-
[`pickArguments( fcn, indices[, thisArg] )`][@stdlib/utils/pick-arguments]: create a function that invokes a provided function with specified arguments.
@@ -203,8 +193,6 @@ The namespace has the following sub-namespaces:
-
[`propertyNames( obj )`][@stdlib/utils/property-names]: return an array of an object's own enumerable and non-enumerable property names.
-
[`propertySymbolsIn( obj )`][@stdlib/utils/property-symbols-in]: return an array of an object's own and inherited symbol properties.
-
[`propertySymbols( obj )`][@stdlib/utils/property-symbols]: return an array of an object's own symbol properties.
--
[`uncapitalizeKeys( obj )`][@stdlib/utils/uncapitalize-keys]: convert the first letter of each object key to lowercase.
--
[`uppercaseKeys( obj )`][@stdlib/utils/uppercase-keys]: convert each object key to uppercase.
-
[`objectValuesIn( obj )`][@stdlib/utils/values-in]: return an array of an object's own and inherited enumerable property values.
-
[`objectValues( obj )`][@stdlib/utils/values]: return an array of an object's own enumerable property values.
-
[`writablePropertiesIn( obj )`][@stdlib/utils/writable-properties-in]: return an array of an object's own and inherited writable property names and symbols.
@@ -279,7 +267,6 @@ The namespace has the following sub-namespaces:
-- [`commonKeysIn( obj1, obj2[, obj3[,...,objN]] )`][@stdlib/utils/common-keys-in]: return the common own and inherited property names of two or more objects.
- [`constructorName( value )`][@stdlib/utils/constructor-name]: determine the name of a value's constructor.
- [`convertPath( from, to )`][@stdlib/utils/convert-path]: convert between POSIX and Windows paths.
- [`copy( value[, level] )`][@stdlib/utils/copy]: copy or deep clone a value to an arbitrary depth.
@@ -363,8 +350,6 @@ console.log( objectKeys( utils ) );
-[@stdlib/utils/common-keys-in]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/common-keys-in
-
[@stdlib/utils/constructor-name]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/constructor-name
[@stdlib/utils/convert-path]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/convert-path
@@ -513,12 +498,6 @@ console.log( objectKeys( utils ) );
[@stdlib/utils/while]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/while
-[@stdlib/utils/common-keys]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/common-keys
-
-[@stdlib/utils/deep-get]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/deep-get
-
-[@stdlib/utils/deep-set]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/deep-set
-
[@stdlib/utils/define-configurable-read-only-accessor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/define-configurable-read-only-accessor
[@stdlib/utils/define-configurable-read-only-property]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/define-configurable-read-only-property
@@ -569,10 +548,6 @@ console.log( objectKeys( utils ) );
[@stdlib/utils/flatten-object]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/flatten-object
-[@stdlib/utils/for-in]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/for-in
-
-[@stdlib/utils/for-own]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/for-own
-
[@stdlib/utils/get-prototype-of]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/get-prototype-of
[@stdlib/utils/inherited-enumerable-properties]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/inherited-enumerable-properties
@@ -605,8 +580,6 @@ console.log( objectKeys( utils ) );
[@stdlib/utils/keys-in]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/keys-in
-[@stdlib/utils/lowercase-keys]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/lowercase-keys
-
[@stdlib/utils/map-keys]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/map-keys
[@stdlib/utils/map-values]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/map-values
@@ -627,10 +600,6 @@ console.log( objectKeys( utils ) );
[@stdlib/utils/nonindex-keys]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/nonindex-keys
-[@stdlib/utils/object-inverse-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/object-inverse-by
-
-[@stdlib/utils/object-inverse]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/object-inverse
-
[@stdlib/utils/omit-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/omit-by
[@stdlib/utils/omit]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/omit
@@ -661,10 +630,6 @@ console.log( objectKeys( utils ) );
[@stdlib/utils/property-symbols]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/property-symbols
-[@stdlib/utils/uncapitalize-keys]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/uncapitalize-keys
-
-[@stdlib/utils/uppercase-keys]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/uppercase-keys
-
[@stdlib/utils/values-in]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/values-in
[@stdlib/utils/values]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/values
@@ -707,10 +672,6 @@ console.log( objectKeys( utils ) );
[@stdlib/utils/bifurcate-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/bifurcate-by
-[@stdlib/utils/bifurcate-in]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/bifurcate-in
-
-[@stdlib/utils/bifurcate-own]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/bifurcate-own
-
[@stdlib/utils/bifurcate]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/bifurcate
[@stdlib/utils/count-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/utils/count-by