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| <!DOCTYPE html><html lang="en"><head><meta charset="utf-8"><meta name="viewport" content="width=device-width, initial-scale=1.0"><meta name="generator" content="rustdoc"><meta name="description" content="Returns a handle to NumPy’s multiarray module."><title>get_array_module in numpy::array - Rust</title><script>if(window.location.protocol!=="file:")document.head.insertAdjacentHTML("beforeend","SourceSerif4-Regular-46f98efaafac5295.ttf.woff2,FiraSans-Regular-018c141bf0843ffd.woff2,FiraSans-Medium-8f9a781e4970d388.woff2,SourceCodePro-Regular-562dcc5011b6de7d.ttf.woff2,SourceCodePro-Semibold-d899c5a5c4aeb14a.ttf.woff2".split(",").map(f=>`<link rel="preload" as="font" type="font/woff2" crossorigin href="../../static.files/${f}">`).join(""))</script><link rel="stylesheet" href="../../static.files/normalize-76eba96aa4d2e634.css"><link rel="stylesheet" href="../../static.files/rustdoc-c5d6553a23f1e5a6.css"><meta name="rustdoc-vars" data-root-path="../../" data-static-root-path="../../static.files/" data-current-crate="numpy" data-themes="" data-resource-suffix="" data-rustdoc-version="1.81.0 (eeb90cda1 2024-09-04)" data-channel="1.81.0" data-search-js="search-d234aafac6c221dd.js" data-settings-js="settings-4313503d2e1961c2.js" ><script src="../../static.files/storage-118b08c4c78b968e.js"></script><script defer src="sidebar-items.js"></script><script defer src="../../static.files/main-d2fab2bf619172d3.js"></script><noscript><link rel="stylesheet" href="../../static.files/noscript-df360f571f6edeae.css"></noscript><link rel="alternate icon" type="image/png" href="../../static.files/favicon-32x32-422f7d1d52889060.png"><link rel="icon" type="image/svg+xml" href="../../static.files/favicon-2c020d218678b618.svg"></head><body class="rustdoc fn"><!--[if lte IE 11]><div class="warning">This old browser is unsupported and will most likely display funky things.</div><![endif]--><nav class="mobile-topbar"><button class="sidebar-menu-toggle" title="show sidebar"></button></nav><nav class="sidebar"><div class="sidebar-crate"><h2><a href="../../numpy/index.html">numpy</a><span class="version">0.22.0</span></h2></div><div class="sidebar-elems"><h2><a href="index.html">In numpy::array</a></h2></div></nav><div class="sidebar-resizer"></div><main><div class="width-limiter"><rustdoc-search></rustdoc-search><section id="main-content" class="content"><div class="main-heading"><h1>Function <a href="../index.html">numpy</a>::<wbr><a href="index.html">array</a>::<wbr><a class="fn" href="#">get_array_module</a><button id="copy-path" title="Copy item path to clipboard">Copy item path</button></h1><span class="out-of-band"><a class="src" href="../../src/numpy/array.rs.html#124-126">source</a> · <button id="toggle-all-docs" title="collapse all docs">[<span>−</span>]</button></span></div><pre class="rust item-decl"><code>pub fn get_array_module<'py>(py: Python<'py>) -> PyResult<Bound<'_, PyModule>></code></pre><details class="toggle top-doc" open><summary class="hideme"><span>Expand description</span></summary><div class="docblock"><p>Returns a handle to NumPy’s multiarray module.</p> | ||
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| <!DOCTYPE html><html lang="en"><head><meta charset="utf-8"><meta name="viewport" content="width=device-width, initial-scale=1.0"><meta name="generator" content="rustdoc"><meta name="description" content="Safe interface for NumPy’s N-dimensional arrays"><title>numpy::array - Rust</title><script>if(window.location.protocol!=="file:")document.head.insertAdjacentHTML("beforeend","SourceSerif4-Regular-46f98efaafac5295.ttf.woff2,FiraSans-Regular-018c141bf0843ffd.woff2,FiraSans-Medium-8f9a781e4970d388.woff2,SourceCodePro-Regular-562dcc5011b6de7d.ttf.woff2,SourceCodePro-Semibold-d899c5a5c4aeb14a.ttf.woff2".split(",").map(f=>`<link rel="preload" as="font" type="font/woff2" crossorigin href="../../static.files/${f}">`).join(""))</script><link rel="stylesheet" href="../../static.files/normalize-76eba96aa4d2e634.css"><link rel="stylesheet" href="../../static.files/rustdoc-c5d6553a23f1e5a6.css"><meta name="rustdoc-vars" data-root-path="../../" data-static-root-path="../../static.files/" data-current-crate="numpy" data-themes="" data-resource-suffix="" data-rustdoc-version="1.81.0 (eeb90cda1 2024-09-04)" data-channel="1.81.0" data-search-js="search-d234aafac6c221dd.js" data-settings-js="settings-4313503d2e1961c2.js" ><script src="../../static.files/storage-118b08c4c78b968e.js"></script><script defer src="../sidebar-items.js"></script><script defer src="../../static.files/main-d2fab2bf619172d3.js"></script><noscript><link rel="stylesheet" href="../../static.files/noscript-df360f571f6edeae.css"></noscript><link rel="alternate icon" type="image/png" href="../../static.files/favicon-32x32-422f7d1d52889060.png"><link rel="icon" type="image/svg+xml" href="../../static.files/favicon-2c020d218678b618.svg"></head><body class="rustdoc mod"><!--[if lte IE 11]><div class="warning">This old browser is unsupported and will most likely display funky things.</div><![endif]--><nav class="mobile-topbar"><button class="sidebar-menu-toggle" title="show sidebar"></button></nav><nav class="sidebar"><div class="sidebar-crate"><h2><a href="../../numpy/index.html">numpy</a><span class="version">0.21.0</span></h2></div><h2 class="location"><a href="#">Module array</a></h2><div class="sidebar-elems"><section><ul class="block"><li><a href="#structs">Structs</a></li><li><a href="#traits">Traits</a></li><li><a href="#functions">Functions</a></li><li><a href="#types">Type Aliases</a></li></ul></section><h2><a href="../index.html">In crate numpy</a></h2></div></nav><div class="sidebar-resizer"></div><main><div class="width-limiter"><rustdoc-search></rustdoc-search><section id="main-content" class="content"><div class="main-heading"><h1>Module <a href="../index.html">numpy</a>::<wbr><a class="mod" href="#">array</a><button id="copy-path" title="Copy item path to clipboard">Copy item path</button></h1><span class="out-of-band"><a class="src" href="../../src/numpy/array.rs.html#1-2494">source</a> · <button id="toggle-all-docs" title="collapse all docs">[<span>−</span>]</button></span></div><details class="toggle top-doc" open><summary class="hideme"><span>Expand description</span></summary><div class="docblock"><p>Safe interface for NumPy’s <a href="https://numpy.org/doc/stable/reference/arrays.ndarray.html">N-dimensional arrays</a></p> | ||
| <!DOCTYPE html><html lang="en"><head><meta charset="utf-8"><meta name="viewport" content="width=device-width, initial-scale=1.0"><meta name="generator" content="rustdoc"><meta name="description" content="Safe interface for NumPy’s N-dimensional arrays"><title>numpy::array - Rust</title><script>if(window.location.protocol!=="file:")document.head.insertAdjacentHTML("beforeend","SourceSerif4-Regular-46f98efaafac5295.ttf.woff2,FiraSans-Regular-018c141bf0843ffd.woff2,FiraSans-Medium-8f9a781e4970d388.woff2,SourceCodePro-Regular-562dcc5011b6de7d.ttf.woff2,SourceCodePro-Semibold-d899c5a5c4aeb14a.ttf.woff2".split(",").map(f=>`<link rel="preload" as="font" type="font/woff2" crossorigin href="../../static.files/${f}">`).join(""))</script><link rel="stylesheet" href="../../static.files/normalize-76eba96aa4d2e634.css"><link rel="stylesheet" href="../../static.files/rustdoc-c5d6553a23f1e5a6.css"><meta name="rustdoc-vars" data-root-path="../../" data-static-root-path="../../static.files/" data-current-crate="numpy" data-themes="" data-resource-suffix="" data-rustdoc-version="1.81.0 (eeb90cda1 2024-09-04)" data-channel="1.81.0" data-search-js="search-d234aafac6c221dd.js" data-settings-js="settings-4313503d2e1961c2.js" ><script src="../../static.files/storage-118b08c4c78b968e.js"></script><script defer src="../sidebar-items.js"></script><script defer src="../../static.files/main-d2fab2bf619172d3.js"></script><noscript><link rel="stylesheet" href="../../static.files/noscript-df360f571f6edeae.css"></noscript><link rel="alternate icon" type="image/png" href="../../static.files/favicon-32x32-422f7d1d52889060.png"><link rel="icon" type="image/svg+xml" href="../../static.files/favicon-2c020d218678b618.svg"></head><body class="rustdoc mod"><!--[if lte IE 11]><div class="warning">This old browser is unsupported and will most likely display funky things.</div><![endif]--><nav class="mobile-topbar"><button class="sidebar-menu-toggle" title="show sidebar"></button></nav><nav class="sidebar"><div class="sidebar-crate"><h2><a href="../../numpy/index.html">numpy</a><span class="version">0.22.0</span></h2></div><h2 class="location"><a href="#">Module array</a></h2><div class="sidebar-elems"><section><ul class="block"><li><a href="#structs">Structs</a></li><li><a href="#traits">Traits</a></li><li><a href="#functions">Functions</a></li><li><a href="#types">Type Aliases</a></li></ul></section><h2><a href="../index.html">In crate numpy</a></h2></div></nav><div class="sidebar-resizer"></div><main><div class="width-limiter"><rustdoc-search></rustdoc-search><section id="main-content" class="content"><div class="main-heading"><h1>Module <a href="../index.html">numpy</a>::<wbr><a class="mod" href="#">array</a><button id="copy-path" title="Copy item path to clipboard">Copy item path</button></h1><span class="out-of-band"><a class="src" href="../../src/numpy/array.rs.html#1-2494">source</a> · <button id="toggle-all-docs" title="collapse all docs">[<span>−</span>]</button></span></div><details class="toggle top-doc" open><summary class="hideme"><span>Expand description</span></summary><div class="docblock"><p>Safe interface for NumPy’s <a href="https://numpy.org/doc/stable/reference/arrays.ndarray.html">N-dimensional arrays</a></p> | ||
| </div></details><h2 id="structs" class="section-header">Structs<a href="#structs" class="anchor">§</a></h2><ul class="item-table"><li><div class="item-name"><a class="struct" href="struct.PyArray.html" title="struct numpy::array::PyArray">PyArray</a></div><div class="desc docblock-short">A safe, statically-typed wrapper for NumPy’s <a href="https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html"><code>ndarray</code></a> class.</div></li></ul><h2 id="traits" class="section-header">Traits<a href="#traits" class="anchor">§</a></h2><ul class="item-table"><li><div class="item-name"><a class="trait" href="trait.PyArray0Methods.html" title="trait numpy::array::PyArray0Methods">PyArray0Methods</a></div><div class="desc docblock-short">Implementation of functionality for <a href="type.PyArray0.html" title="type numpy::array::PyArray0"><code>PyArray0<T></code></a>.</div></li><li><div class="item-name"><a class="trait" href="trait.PyArrayMethods.html" title="trait numpy::array::PyArrayMethods">PyArrayMethods</a></div><div class="desc docblock-short">Implementation of functionality for <a href="struct.PyArray.html" title="struct numpy::array::PyArray"><code>PyArray<T, D></code></a>.</div></li></ul><h2 id="functions" class="section-header">Functions<a href="#functions" class="anchor">§</a></h2><ul class="item-table"><li><div class="item-name"><a class="fn" href="fn.get_array_module.html" title="fn numpy::array::get_array_module">get_array_module</a></div><div class="desc docblock-short">Returns a handle to NumPy’s multiarray module.</div></li></ul><h2 id="types" class="section-header">Type Aliases<a href="#types" class="anchor">§</a></h2><ul class="item-table"><li><div class="item-name"><a class="type" href="type.PyArray0.html" title="type numpy::array::PyArray0">PyArray0</a></div><div class="desc docblock-short">Zero-dimensional array.</div></li><li><div class="item-name"><a class="type" href="type.PyArray1.html" title="type numpy::array::PyArray1">PyArray1</a></div><div class="desc docblock-short">One-dimensional array.</div></li><li><div class="item-name"><a class="type" href="type.PyArray2.html" title="type numpy::array::PyArray2">PyArray2</a></div><div class="desc docblock-short">Two-dimensional array.</div></li><li><div class="item-name"><a class="type" href="type.PyArray3.html" title="type numpy::array::PyArray3">PyArray3</a></div><div class="desc docblock-short">Three-dimensional array.</div></li><li><div class="item-name"><a class="type" href="type.PyArray4.html" title="type numpy::array::PyArray4">PyArray4</a></div><div class="desc docblock-short">Four-dimensional array.</div></li><li><div class="item-name"><a class="type" href="type.PyArray5.html" title="type numpy::array::PyArray5">PyArray5</a></div><div class="desc docblock-short">Five-dimensional array.</div></li><li><div class="item-name"><a class="type" href="type.PyArray6.html" title="type numpy::array::PyArray6">PyArray6</a></div><div class="desc docblock-short">Six-dimensional array.</div></li><li><div class="item-name"><a class="type" href="type.PyArrayDyn.html" title="type numpy::array::PyArrayDyn">PyArrayDyn</a></div><div class="desc docblock-short">Dynamic-dimensional array.</div></li></ul></section></div></main></body></html> |
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