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131 changes: 131 additions & 0 deletions _modules/biocutils/assign.html
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<h1>Source code for biocutils.assign</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="p">,</span> <span class="n">Sequence</span>

<span class="kn">from</span> <span class="nn">.assign_rows</span> <span class="kn">import</span> <span class="n">assign_rows</span>
<span class="kn">from</span> <span class="nn">.assign_sequence</span> <span class="kn">import</span> <span class="n">assign_sequence</span>
<span class="kn">from</span> <span class="nn">.is_high_dimensional</span> <span class="kn">import</span> <span class="n">is_high_dimensional</span>


<div class="viewcode-block" id="assign">
<a class="viewcode-back" href="../../api/biocutils.html#biocutils.assign.assign">[docs]</a>
<span class="k">def</span> <span class="nf">assign</span><span class="p">(</span><span class="n">x</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">indices</span><span class="p">:</span> <span class="n">Sequence</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span> <span class="n">replacement</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Any</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Generic assign that checks if the objects are n-dimensional for n &gt; 1 (i.e.</span>
<span class="sd"> has a ``shape`` property of length greater than 1); if so, it calls</span>
<span class="sd"> :py:func:`~biocutils.assign_rows.assign_rows` to assign them along the</span>
<span class="sd"> first dimension, otherwise it assumes that they are vector-like and calls</span>
<span class="sd"> :py:func:`~biocutils.assign_sequence.assign_sequence` instead.</span>

<span class="sd"> Args:</span>
<span class="sd"> x: Object to be assignted.</span>

<span class="sd"> Returns:</span>
<span class="sd"> The object after assignment, typically the same type as ``x``.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="k">if</span> <span class="n">is_high_dimensional</span><span class="p">(</span><span class="n">x</span><span class="p">):</span>
<span class="k">return</span> <span class="n">assign_rows</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">indices</span><span class="p">,</span> <span class="n">replacement</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">return</span> <span class="n">assign_sequence</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">indices</span><span class="p">,</span> <span class="n">replacement</span><span class="p">)</span></div>

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148 changes: 148 additions & 0 deletions _modules/biocutils/assign_rows.html
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<h1>Source code for biocutils.assign_rows</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="p">,</span> <span class="n">Sequence</span><span class="p">,</span> <span class="n">Union</span>
<span class="kn">from</span> <span class="nn">functools</span> <span class="kn">import</span> <span class="n">singledispatch</span>
<span class="kn">from</span> <span class="nn">copy</span> <span class="kn">import</span> <span class="n">deepcopy</span>
<span class="kn">import</span> <span class="nn">numpy</span>


<div class="viewcode-block" id="assign_rows">
<a class="viewcode-back" href="../../api/biocutils.html#biocutils.assign_rows.assign_rows">[docs]</a>
<span class="nd">@singledispatch</span>
<span class="k">def</span> <span class="nf">assign_rows</span><span class="p">(</span><span class="n">x</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">indices</span><span class="p">:</span> <span class="n">Sequence</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span> <span class="n">replacement</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Any</span><span class="p">:</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> Assign ``replacement`` values to a copy of ``x`` at the rows specified by</span>
<span class="sd"> ``indices``. This defaults to creating a deep copy of ``x`` and then</span>
<span class="sd"> assigning ``replacement`` to the first dimension of the copy.</span>

<span class="sd"> Args:</span>
<span class="sd"> x:</span>
<span class="sd"> Any high-dimensional object.</span>

<span class="sd"> indices: </span>
<span class="sd"> Sequence of non-negative integers specifying rows of ``x``.</span>

<span class="sd"> replacement:</span>
<span class="sd"> Replacement values to be assigned to ``x``. This should have the</span>
<span class="sd"> same number of rows as the length of ``indices``. Typically</span>
<span class="sd"> ``replacement`` will have the same dimensionality as ``x``.</span>

<span class="sd"> Returns:</span>
<span class="sd"> A copy of ``x`` with the rows replaced at ``indices``.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="n">output</span> <span class="o">=</span> <span class="n">deepcopy</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
<span class="n">tmp</span> <span class="o">=</span> <span class="p">[</span><span class="nb">slice</span><span class="p">(</span><span class="kc">None</span><span class="p">)]</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
<span class="n">tmp</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="n">indices</span>
<span class="n">output</span><span class="p">[(</span><span class="o">*</span><span class="n">tmp</span><span class="p">,)]</span> <span class="o">=</span> <span class="n">replacement</span>
<span class="k">return</span> <span class="n">output</span></div>



<span class="nd">@assign_rows</span><span class="o">.</span><span class="n">register</span>
<span class="k">def</span> <span class="nf">_assign_rows_numpy</span><span class="p">(</span><span class="n">x</span><span class="p">:</span> <span class="n">numpy</span><span class="o">.</span><span class="n">ndarray</span><span class="p">,</span> <span class="n">indices</span><span class="p">:</span> <span class="n">Sequence</span><span class="p">[</span><span class="nb">int</span><span class="p">],</span> <span class="n">replacement</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">numpy</span><span class="o">.</span><span class="n">ndarray</span><span class="p">:</span>
<span class="n">tmp</span> <span class="o">=</span> <span class="p">[</span><span class="nb">slice</span><span class="p">(</span><span class="kc">None</span><span class="p">)]</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="n">x</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span>
<span class="n">tmp</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">=</span> <span class="n">indices</span>
<span class="n">output</span> <span class="o">=</span> <span class="n">numpy</span><span class="o">.</span><span class="n">copy</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
<span class="n">output</span><span class="p">[(</span><span class="o">*</span><span class="n">tmp</span><span class="p">,)]</span> <span class="o">=</span> <span class="n">replacement</span>
<span class="k">return</span> <span class="n">output</span>
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