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43
docs/pyerrors/linalg.html
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@ -63,7 +63,7 @@
<a class="function" href="#cholesky">cholesky</a>
</li>
<li>
<a class="function" href="#scalar_mat_op">scalar_mat_op</a>
<a class="function" href="#det">det</a>
</li>
<li>
<a class="function" href="#eigh">eigh</a>
@ -304,7 +304,12 @@
<span class="k">return</span> <span class="n">_mat_mat_op</span><span class="p">(</span><span class="n">anp</span><span class="o">.</span><span class="n">linalg</span><span class="o">.</span><span class="n">cholesky</span><span class="p">,</span> <span class="n">x</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">scalar_mat_op</span><span class="p">(</span><span class="n">op</span><span class="p">,</span> <span class="n">obs</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="k">def</span> <span class="nf">det</span><span class="p">(</span><span class="n">x</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;Determinant of Obs valued matrices.&quot;&quot;&quot;</span>
<span class="k">return</span> <span class="n">_scalar_mat_op</span><span class="p">(</span><span class="n">anp</span><span class="o">.</span><span class="n">linalg</span><span class="o">.</span><span class="n">det</span><span class="p">,</span> <span class="n">x</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">_scalar_mat_op</span><span class="p">(</span><span class="n">op</span><span class="p">,</span> <span class="n">obs</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;Computes the matrix to scalar operation op to a given matrix of Obs.&quot;&quot;&quot;</span>
<span class="k">def</span> <span class="nf">_mat</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="n">dim</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">x</span><span class="p">)))</span>
@ -943,44 +948,24 @@ Obs valued.</li>
</section>
<section id="scalar_mat_op">
<div class="attr function"><a class="headerlink" href="#scalar_mat_op">#&nbsp;&nbsp</a>
<section id="det">
<div class="attr function"><a class="headerlink" href="#det">#&nbsp;&nbsp</a>
<span class="def">def</span>
<span class="name">scalar_mat_op</span><span class="signature">(op, obs, **kwargs)</span>:
<span class="name">det</span><span class="signature">(x)</span>:
</div>
<details>
<summary>View Source</summary>
<div class="codehilite"><pre><span></span><span class="k">def</span> <span class="nf">scalar_mat_op</span><span class="p">(</span><span class="n">op</span><span class="p">,</span> <span class="n">obs</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;Computes the matrix to scalar operation op to a given matrix of Obs.&quot;&quot;&quot;</span>
<span class="k">def</span> <span class="nf">_mat</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="n">dim</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">x</span><span class="p">)))</span>
<span class="k">if</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">x</span><span class="p">))</span> <span class="o">!=</span> <span class="n">dim</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">Exception</span><span class="p">(</span><span class="s1">&#39;Input has to have dim**2 entries&#39;</span><span class="p">)</span>
<span class="n">mat</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">dim</span><span class="p">):</span>
<span class="n">row</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">dim</span><span class="p">):</span>
<span class="n">row</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">x</span><span class="p">[</span><span class="n">j</span> <span class="o">+</span> <span class="n">dim</span> <span class="o">*</span> <span class="n">i</span><span class="p">])</span>
<span class="n">mat</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">row</span><span class="p">)</span>
<span class="k">return</span> <span class="n">op</span><span class="p">(</span><span class="n">anp</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">mat</span><span class="p">))</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">obs</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">):</span>
<span class="n">raveled_obs</span> <span class="o">=</span> <span class="p">(</span><span class="mi">1</span> <span class="o">*</span> <span class="p">(</span><span class="n">obs</span><span class="o">.</span><span class="n">ravel</span><span class="p">()))</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
<span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">obs</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
<span class="n">raveled_obs</span> <span class="o">=</span> <span class="n">obs</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s1">&#39;Unproper type of input.&#39;</span><span class="p">)</span>
<span class="k">return</span> <span class="n">derived_observable</span><span class="p">(</span><span class="n">_mat</span><span class="p">,</span> <span class="n">raveled_obs</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
<div class="codehilite"><pre><span></span><span class="k">def</span> <span class="nf">det</span><span class="p">(</span><span class="n">x</span><span class="p">):</span>
<span class="sd">&quot;&quot;&quot;Determinant of Obs valued matrices.&quot;&quot;&quot;</span>
<span class="k">return</span> <span class="n">_scalar_mat_op</span><span class="p">(</span><span class="n">anp</span><span class="o">.</span><span class="n">linalg</span><span class="o">.</span><span class="n">det</span><span class="p">,</span> <span class="n">x</span><span class="p">)</span>
</pre></div>
</details>
<div class="docstring"><p>Computes the matrix to scalar operation op to a given matrix of Obs.</p>
<div class="docstring"><p>Determinant of Obs valued matrices.</p>
</div>

2
docs/pyerrors/obs.html
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@ -1375,7 +1375,6 @@
<span class="n">raveled_data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">ravel</span><span class="p">()</span>
<span class="c1"># Workaround for matrix operations containing non Obs data</span>
<span class="k">if</span> <span class="n">array_mode</span> <span class="ow">is</span> <span class="kc">True</span><span class="p">:</span>
<span class="k">if</span> <span class="ow">not</span> <span class="nb">all</span><span class="p">(</span><span class="nb">isinstance</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">Obs</span><span class="p">)</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="n">raveled_data</span><span class="p">):</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">raveled_data</span><span class="p">)):</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">raveled_data</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="p">(</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">)):</span>
@ -4576,7 +4575,6 @@ should agree with samples from a full jackknife analysis up to O(1/N).</li>
<span class="n">raveled_data</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">ravel</span><span class="p">()</span>
<span class="c1"># Workaround for matrix operations containing non Obs data</span>
<span class="k">if</span> <span class="n">array_mode</span> <span class="ow">is</span> <span class="kc">True</span><span class="p">:</span>
<span class="k">if</span> <span class="ow">not</span> <span class="nb">all</span><span class="p">(</span><span class="nb">isinstance</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">Obs</span><span class="p">)</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="n">raveled_data</span><span class="p">):</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">raveled_data</span><span class="p">)):</span>
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">raveled_data</span><span class="p">[</span><span class="n">i</span><span class="p">],</span> <span class="p">(</span><span class="nb">int</span><span class="p">,</span> <span class="nb">float</span><span class="p">)):</span>

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