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Release v0.1.0
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stdlib-bot committed Oct 14, 2023
1 parent 5325983 commit 58d9976
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Showing 5 changed files with 17 additions and 128 deletions.
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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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -204,8 +204,8 @@ Copyright © 2016-2023. The Stdlib [Authors][stdlib-authors].
[npm-image]: http://img.shields.io/npm/v/@stdlib/ndarray-shape.svg
[npm-url]: https://npmjs.org/package/@stdlib/ndarray-shape

[test-image]: https://github.com/stdlib-js/ndarray-shape/actions/workflows/test.yml/badge.svg?branch=main
[test-url]: https://github.com/stdlib-js/ndarray-shape/actions/workflows/test.yml?query=branch:main
[test-image]: https://github.com/stdlib-js/ndarray-shape/actions/workflows/test.yml/badge.svg?branch=v0.1.0
[test-url]: https://github.com/stdlib-js/ndarray-shape/actions/workflows/test.yml?query=branch:v0.1.0

[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/ndarray-shape/main.svg
[coverage-url]: https://codecov.io/github/stdlib-js/ndarray-shape?branch=main
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2 changes: 1 addition & 1 deletion dist/index.js

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2 changes: 1 addition & 1 deletion package.json
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@@ -1,6 +1,6 @@
{
"name": "@stdlib/ndarray-shape",
"version": "0.0.0",
"version": "0.1.0",
"description": "Return the shape of a provided ndarray.",
"license": "Apache-2.0",
"author": {
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125 changes: 3 additions & 122 deletions test/dist/test.js
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Expand Up @@ -21,132 +21,13 @@
// MODULES //

var tape = require( 'tape' );
var zeros = require( '@stdlib/ndarray-zeros' );
var shape = 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 shape, 'function', 'main export is a function' );
t.end();
});

tape( 'the function throws an error if not provided a minimal ndarray-like object', function test( t ) {
var values;
var i;

values = [
'5',
5,
NaN,
true,
false,
null,
void 0,
{},
function noop() {},
{
'shape': 3.14
},
{
'shape': -1
},
{
'shape': null
},
{
'shape': {}
},
{
'shape': [ 3.14 ]
},
{
'shape': [ -1 ]
}
];
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() {
shape( value );
};
}
});

tape( 'if provided a zero-dimensional ndarray, the function returns an empty array', function test( t ) {
t.deepEqual( shape( zeros( [] ) ), [], 'returns expected value' );
t.end();
});

tape( 'the function returns the shape of an ndarray', function test( t ) {
var expected;
var values;
var out;
var i;

values = [
zeros( [ 3, 3, 3 ] ),
zeros( [ 1, 1 ] ),
zeros( [ 3, 3, 0, 3 ] ),
zeros( [ 1, 2, 3, 4 ] ),
zeros( [ 5 ] )
];

expected = [
values[ 0 ].shape,
values[ 1 ].shape,
values[ 2 ].shape,
values[ 3 ].shape,
values[ 4 ].shape
];

for ( i = 0; i < values.length; i++ ) {
out = shape( values[ i ] );
t.deepEqual( out, expected[ i ], 'returns expected value for shape '+values[ i ].shape.join( 'x' ) );
}
t.end();
});

tape( 'the function accepts minimal ndarray-like objects (shape)', function test( t ) {
var expected;
var values;
var out;
var i;

values = [
{
'shape': [ 3, 3, 3 ]
},
{
'shape': [ 1, 1 ]
},
{
'shape': [ 3, 3, 0, 3 ]
},
{
'shape': [ 1, 2, 3, 4 ]
},
{
'shape': [ 5 ]
}
];

expected = [
values[ 0 ].shape,
values[ 1 ].shape,
values[ 2 ].shape,
values[ 3 ].shape,
values[ 4 ].shape
];

for ( i = 0; i < values.length; i++ ) {
out = shape( values[ i ] );
t.deepEqual( out, expected[ i ], 'returns expected value for shape '+values[ i ].shape.join( 'x' ) );
}
t.strictEqual( main !== void 0, true, 'main export is defined' );
t.end();
});

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