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+<html lang="en" data-content_root="../../">
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+    <meta charset="utf-8" />
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+    <title>dolomite_matrix.load_hdf5_sparse_matrix &#8212; dolomite-matrix 0.0.post1.dev1+g4372711 documentation</title>
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+  <h1>Source code for dolomite_matrix.load_hdf5_sparse_matrix</h1><div class="highlight"><pre>
+<span></span><span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Any</span>
+<span class="kn">from</span> <span class="nn">numpy</span> <span class="kn">import</span> <span class="n">bool_</span>
+<span class="kn">from</span> <span class="nn">filebackedarray</span> <span class="kn">import</span> <span class="n">Hdf5CompressedSparseMatrix</span>
+<span class="kn">from</span> <span class="nn">dolomite_base</span> <span class="kn">import</span> <span class="n">acquire_file</span>
+
+
+<div class="viewcode-block" id="load_hdf5_sparse_matrix">
+<a class="viewcode-back" href="../../api/dolomite_matrix.html#dolomite_matrix.load_hdf5_sparse_matrix.load_hdf5_sparse_matrix">[docs]</a>
+<span class="k">def</span> <span class="nf">load_hdf5_sparse_matrix</span><span class="p">(</span><span class="n">meta</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Any</span><span class="p">],</span> <span class="n">project</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Hdf5CompressedSparseMatrix</span><span class="p">:</span>
+<span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
+<span class="sd">    Load a HDF5-backed sparse matrix. In general, this function should be</span>
+<span class="sd">    called via :py:meth:`~dolomite_base.load_object.load_object`.</span>
+
+<span class="sd">    Args:</span>
+<span class="sd">        meta: Metadata for this HDF5 array.</span>
+
+<span class="sd">        project: Value specifying the project of interest. This is most</span>
+<span class="sd">            typically a string containing a file path to a staging directory</span>
+<span class="sd">            but may also be an application-specific object that works with</span>
+<span class="sd">            :py:meth:`~dolomite_base.acquire_file.acquire_file`.</span>
+
+<span class="sd">        kwargs: Further arguments, ignored.</span>
+
+<span class="sd">    Returns:</span>
+<span class="sd">        A HDF5-backed sparse matrix.</span>
+<span class="sd">    &quot;&quot;&quot;</span>
+    <span class="n">fpath</span> <span class="o">=</span> <span class="n">acquire_file</span><span class="p">(</span><span class="n">project</span><span class="p">,</span> <span class="n">meta</span><span class="p">[</span><span class="s2">&quot;path&quot;</span><span class="p">])</span>
+    <span class="n">name</span> <span class="o">=</span> <span class="n">meta</span><span class="p">[</span><span class="s2">&quot;hdf5_sparse_matrix&quot;</span><span class="p">][</span><span class="s2">&quot;group&quot;</span><span class="p">]</span>
+
+    <span class="n">dtype</span> <span class="o">=</span> <span class="kc">None</span>
+    <span class="k">if</span> <span class="n">meta</span><span class="p">[</span><span class="s2">&quot;array&quot;</span><span class="p">][</span><span class="s2">&quot;type&quot;</span><span class="p">]</span> <span class="o">==</span> <span class="s2">&quot;boolean&quot;</span><span class="p">:</span>
+        <span class="n">dtype</span> <span class="o">=</span> <span class="n">bool_</span>
+
+    <span class="k">return</span> <span class="n">Hdf5CompressedSparseMatrix</span><span class="p">(</span><span class="n">fpath</span><span class="p">,</span> <span class="n">name</span><span class="p">,</span> <span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="o">*</span><span class="n">meta</span><span class="p">[</span><span class="s2">&quot;array&quot;</span><span class="p">][</span><span class="s2">&quot;dimensions&quot;</span><span class="p">],),</span> <span class="n">by_column</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">dtype</span><span class="p">)</span></div>
+
+</pre></div>
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