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CHANGELOG.md

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<details>
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- [`d48a363`](https://github.com/stdlib-js/stdlib/commit/d48a36343854a0d824eaa97ff49ac7e5727c7249) - **docs:** update comment _(by Athan Reines)_
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- [`590e26e`](https://github.com/stdlib-js/stdlib/commit/590e26e8ac570a5053220ac3dcc44c22b85c3d1b) - **docs:** update examples _(by Athan Reines)_
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- [`b2f3ce6`](https://github.com/stdlib-js/stdlib/commit/b2f3ce632558927b4a7b7c1931dd7e838462e8d6) - **docs:** update examples _(by Athan Reines)_
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- [`ef3824d`](https://github.com/stdlib-js/stdlib/commit/ef3824dbdf18a2c7b3b5b27fa1fa395f7bf5928c) - **feat:** add `ndarray/count-falsy` _(by Athan Reines)_

README.md

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@@ -80,7 +80,7 @@ var array = require( '@stdlib/ndarray-array' );
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var x = array( [ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 0.0, 6.0 ] ] ] );
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// returns <ndarray>
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// Perform operation:
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// Perform reduction:
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var out = countFalsy( x );
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// returns <ndarray>
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var x = array( [ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 0.0, 6.0 ] ] ] );
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// returns <ndarray>
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// Perform operation:
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// Perform reduction:
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var out = countFalsy( x, {
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'dims': [ 1, 2 ]
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});
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var x = array( [ [ [ 1.0, 2.0 ] ], [ [ 3.0, 4.0 ] ], [ [ 0.0, 6.0 ] ] ] );
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// returns <ndarray>
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// Perform operation:
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// Perform reduction:
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var out = countFalsy( x, {
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'dims': [ 1, 2 ],
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'keepdims': true
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'dtype': 'int32'
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});
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// Perform operation:
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// Perform reduction:
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var out = countFalsy.assign( x, y );
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// returns <ndarray>
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'dtype': 'int32'
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});
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var out = countFalsy.assign( x, y, {
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'dims': [ 1, 2 ]
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});

dist/index.js.map

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docs/types/index.d.ts

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* // Create an input ndarray:
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* var x = new ndarray( 'float64', xbuf, sh, sx, ox, 'row-major' );
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*
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* var out = countFalsy( x );
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* // returns <ndarray>
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*
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* 'dtype': 'int32'
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* });
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*
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* // Perform reduction:
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* var out = countFalsy.assign( x, y );
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* // returns <ndarray>
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*
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* // Create an input ndarray:
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* var x = new ndarray( 'float64', xbuf, sh, sx, ox, 'row-major' );
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*
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* var out = countFalsy( x );
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* // returns <ndarray>
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*
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* 'dtype': 'int32'
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* });
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*
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* // Perform reduction:
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* var out = countFalsy.assign( x, y );
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* // returns <ndarray>
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*

lib/assign.js

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* 'dtype': 'int32'
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* });
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* var out = assign( x, y );
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* // returns <ndarray>
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*

lib/index.js

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* // Create an input ndarray:
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* var x = new ndarray( 'float64', xbuf, sh, sx, ox, 'row-major' );
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*
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* // Perform operation:
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* // Perform reduction:
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* var out = countFalsy( x );
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* // returns <ndarray>
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*
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* 'dtype': 'int32'
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* });
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*
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* var out = countFalsy.assign( x, y );
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* // returns <ndarray>
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*

lib/main.js

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* // Create an input ndarray:
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* var x = new ndarray( 'float64', xbuf, sh, sx, ox, 'row-major' );
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*
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* // Perform operation:
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* // Perform reduction:
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* var out = countFalsy( x );
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* // returns <ndarray>
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*

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