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170 changes: 170 additions & 0 deletions lib/node_modules/@stdlib/stats/base/dists/wald/pdf/binding.gyp
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# @license Apache-2.0
#
# Copyright (c) 2025 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
}
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87 changes: 87 additions & 0 deletions lib/node_modules/@stdlib/stats/base/dists/wald/pdf/docs/repl.txt
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{{alias}}( x, μ, λ )
Evaluates the probability density function (PDF) for a Wald distribution
with mean `μ` and shape parameter `λ` at a value `x`.

If provided `NaN` as any argument, the function returns `NaN`.

If provided `μ <= 0` or `λ < 0`, the function returns `NaN`.

Parameters
----------
x: number
Input value.

μ: number
Mean parameter.

λ: number
Shape parameter.

Returns
-------
out: number
Evaluated PDF.

Examples
--------
> var y = {{alias}}( 2.0, 1.0, 1.0 )
~0.110
> y = {{alias}}( 5.0, 3.0, 2.0 )
~0.046
> y = {{alias}}( NaN, 1.0, 1.0 )
NaN
> y = {{alias}}( 2.0, NaN, 1.0 )
NaN
> y = {{alias}}( 2.0, 1.0, NaN )
NaN

// Non-positive mean:
> y = {{alias}}( 2.0, 0.0, 1.0 )
NaN
> y = {{alias}}( 2.0, -1.0, 1.0 )
NaN

// Negative shape parameter:
> y = {{alias}}( 2.0, 1.0, -1.0 )
NaN

// Degenerate distribution when `λ = 0.0`:
> y = {{alias}}( 2.0, 1.0, 0.0 )
0.0
> y = {{alias}}( 1.0, 1.0, 0.0 )
infinity

// Outside support (x <= 0):
> y = {{alias}}( 0.0, 1.0, 1.0 )
0.0
> y = {{alias}}( -1.0, 1.0, 1.0 )
0.0


{{alias}}.factory( μ, λ )
Returns a function for evaluating the probability density function (PDF) of
a Wald distribution with mean `μ` and shape parameter `λ`.

Parameters
----------
μ: number
Mean parameter.

λ: number
Shape parameter.

Returns
-------
pdf: Function
Probability density function (PDF).

Examples
--------
> var myPDF = {{alias}}.factory( 3.0, 2.0 );
> var y = myPDF( 2.0 )
~0.189
> y = myPDF( 5.0 )
~0.046

See Also
--------
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/*
* @license Apache-2.0
*
* Copyright (c) 2025 The Stdlib Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

// TypeScript Version: 4.1

/**
* Evaluates the probability density function (PDF) for a Wald distribution.
*
* @param x - input value
* @returns evaluated PDF
*/
type Unary = ( x: number ) => number;

/**
* Interface for the probability density function (PDF) of a Wald distribution.
*/
interface PDF {
/**
* Evaluates the probability density function (PDF) for a Wald distribution with mean `mu` and shape parameter `lambda` at a value `x`.
*
* ## Notes
*
* - If provided `mu <= 0` or `lambda < 0`, the function returns `NaN`.
*
* @param x - input value
* @param mu - mean parameter
* @param lambda - shape parameter
* @returns evaluated probability density function
*
* @example
* var y = pdf( 2.0, 1.0, 1.0 );
* // returns ~0.110
*
* @example
* var y = pdf( 5.0, 3.0, 2.0 );
* // returns ~0.046
*
* @example
* var y = pdf( NaN, 1.0, 1.0 );
* // returns NaN
*
* @example
* var y = pdf( 2.0, NaN, 1.0 );
* // returns NaN
*
* @example
* var y = pdf( 2.0, 1.0, NaN );
* // returns NaN
*
* @example
* // Non-positive mean:
* var y = pdf( 2.0, 0.0, 1.0 );
* // returns NaN
*
* @example
* // Negative shape parameter:
* var y = pdf( 2.0, 1.0, -1.0 );
* // returns NaN
*
* @example
* var y = pdf( 2.0, 1.0, 0.0 );
* // returns 0.0
*
* @example
* var y = pdf( 1.0, 1.0, 0.0 );
* // returns Infinity
*/
( x: number, mu: number, lambda: number ): number;

/**
* Returns a function for evaluating the probability density function (PDF) for a Wald distribution.
*
* @param mu - mean parameter
* @param lambda - shape parameter
* @returns function to evaluate the probability density function
*
* @example
* var myPDF = pdf.factory( 3.0, 2.0 );
* var y = myPDF( 2.0 );
* // returns ~0.189
*
* y = myPDF( 5.0 );
* // returns ~0.046
*/
factory( mu: number, lambda: number ): Unary;
}

/**
* Wald distribution probability density function (PDF).
*
* @param x - input value
* @param mu - mean parameter
* @param lambda - shape parameter
* @returns evaluated PDF
*
* @example
* var y = pdf( 2.0, 1.0, 1.0 );
* // returns ~0.110
*
* var myPDF = pdf.factory( 3.0, 2.0 );
* y = myPDF( 2.0 );
* // returns ~0.189
*/
declare var pdf: PDF;


// EXPORTS //

export = pdf;
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