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stdlib-bot committed Nov 1, 2023
1 parent 8db71d3 commit 31916bc
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Showing 5 changed files with 17 additions and 168 deletions.
1 change: 1 addition & 0 deletions .github/.keepalive
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@@ -0,0 +1 @@
2023-11-01T01:24:13.192Z
12 changes: 10 additions & 2 deletions .github/workflows/publish.yml
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Expand Up @@ -182,7 +182,11 @@ jobs:
fi
# Trim leading and trailing whitespace:
dep=$(echo "$dep" | xargs)
version="^$(npm view $dep version)"
version="$(npm view $dep version)"
if [[ -z "$version" ]]; then
continue
fi
version="^$version"
jq -r --arg dep "$dep" --arg version "$version" '.dependencies[$dep] = $version' package.json > package.json.tmp
mv package.json.tmp package.json
done
Expand All @@ -192,7 +196,11 @@ jobs:
fi
# Trim leading and trailing whitespace:
dep=$(echo "$dep" | xargs)
version="^$(npm view $dep version)"
version="$(npm view $dep version)"
if [[ -z "$version" ]]; then
continue
fi
version="^$version"
jq -r --arg dep "$dep" --arg version "$version" '.devDependencies[$dep] = $version' package.json > package.json.tmp
mv package.json.tmp package.json
done
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1 change: 1 addition & 0 deletions CONTRIBUTORS
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Expand Up @@ -37,3 +37,4 @@ Stephannie Jiménez Gacha <steff456@hotmail.com>
Yernar Yergaziyev <yernar.yergaziyev@erg.kz>
orimiles5 <97595296+orimiles5@users.noreply.github.com>
rei2hu <reimu@reimu.ws>
Robert Gislason <gztown2216@yahoo.com>
2 changes: 1 addition & 1 deletion package.json
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Expand Up @@ -46,7 +46,7 @@
"devDependencies": {
"@stdlib/array-to-iterator": "^0.1.0",
"@stdlib/bench": "^0.1.0",
"@stdlib/iter-empty": "^0.1.0",
"@stdlib/iter-empty": "^0.1.1",
"@stdlib/math-base-assert-is-nan": "^0.1.1",
"@stdlib/random-iter-uniform": "^0.1.0",
"tape": "git+https://github.com/kgryte/tape.git#fix/globby",
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169 changes: 4 additions & 165 deletions test/dist/test.js
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@@ -1,7 +1,7 @@
/**
* @license Apache-2.0
*
* Copyright (c) 2019 The Stdlib Authors.
* Copyright (c) 2023 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.
Expand All @@ -21,174 +21,13 @@
// MODULES //

var tape = require( 'tape' );
var array2iterator = require( '@stdlib/array-to-iterator' );
var iterEmpty = require( '@stdlib/iter-empty' );
var isnan = require( '@stdlib/math-base-assert-is-nan' );
var itervariance = require( './../../dist' );
var main = require( './../../dist' );


// TESTS //

tape( 'main export is a function', function test( t ) {
tape( 'main export is defined', function test( t ) {
t.ok( true, __filename );
t.strictEqual( typeof itervariance, 'function', 'main export is a function' );
t.end();
});

tape( 'the function throws an error if not provided an iterator', function test( t ) {
var values;
var i;

values = [
'5',
5,
NaN,
true,
false,
null,
void 0,
{},
[],
function noop() {}
];

for ( i = 0; i < values.length; i++ ) {
t.throws( badValue( values[i] ), TypeError, 'throws a type error when provided '+values[i] );
}
t.end();

function badValue( value ) {
return function badValue() {
itervariance( value );
};
}
});

tape( 'the function throws an error if not provided an iterator (mean)', function test( t ) {
var values;
var i;

values = [
'5',
5,
NaN,
true,
false,
null,
void 0,
{},
[],
function noop() {}
];

for ( i = 0; i < values.length; i++ ) {
t.throws( badValue( values[i] ), TypeError, 'throws a type error when provided '+values[i] );
}
t.end();

function badValue( value ) {
return function badValue() {
itervariance( value, 0.0 );
};
}
});

tape( 'the function throws an error if provided a non-numeric second argument', 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 a type error when provided '+values[i] );
}
t.end();

function badValue( value ) {
return function badValue() {
itervariance( array2iterator( [ 1, 2, 3 ] ), value );
};
}
});

tape( 'the function computes the unbiased sample variance', function test( t ) {
var arr;
var v;

arr = array2iterator( [ 2.0, 3.0, 2.0, 4.0, 3.0, 4.0 ] );
v = itervariance( arr );

// Tested against Julia:
t.strictEqual( v, 0.8, 'returns expected value' );
t.end();
});

tape( 'the function computes the unbiased sample variance (known mean)', function test( t ) {
var arr;
var v;

arr = array2iterator( [ 2.0, 3.0, 2.0, 4.0, 3.0, 4.0 ] );
v = itervariance( arr, 3.0 );

// Tested against Julia:
t.strictEqual( v, 0.6666666666666666, 'returns expected value' );
t.end();
});

tape( 'the function returns `null` if provided an "empty" iterator', function test( t ) {
var v = itervariance( iterEmpty() );
t.strictEqual( v, null, 'returns expected value' );
t.end();
});

tape( 'the function returns `null` if provided an "empty" iterator (known mean)', function test( t ) {
var v = itervariance( iterEmpty(), 0.0 );
t.strictEqual( v, null, 'returns expected value' );
t.end();
});

tape( 'the function returns `NaN` if an iterated value is non-numeric', function test( t ) {
var arr;
var v;

arr = array2iterator( [ 1.0, 2.0, '3.0', 4.0 ] );
v = itervariance( arr );

t.strictEqual( isnan( v ), true, 'returns expected value' );

arr = array2iterator( [ 1.0, 2.0, NaN, 4.0 ] );
v = itervariance( arr );

t.strictEqual( isnan( v ), true, 'returns expected value' );

arr = array2iterator( [ 1.0, 2.0, '3.0', 4.0 ] );
v = itervariance( arr, 2.5 );

t.strictEqual( isnan( v ), true, 'returns expected value' );

arr = array2iterator( [ 1.0, 2.0, NaN, 4.0 ] );
v = itervariance( arr, 2.5 );

t.strictEqual( isnan( v ), true, 'returns expected value' );
t.end();
});

tape( 'the function returns `NaN` if a provided mean is `NaN`', function test( t ) {
var arr;
var v;

arr = array2iterator( [ 1.0, 2.0, 3.0, 4.0 ] );
v = itervariance( arr, NaN );

t.strictEqual( isnan( v ), true, 'returns expected value' );
t.strictEqual( main !== void 0, true, 'main export is defined' );
t.end();
});

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