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3 changed files with 339 additions and 3 deletions
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@ -610,7 +610,6 @@ See <code><a href="pyerrors/obs.html#Obs.export_jackknife">pyerrors.obs.Obs.expo
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<span class="kn">from</span> <span class="nn">.</span> <span class="kn">import</span> <span class="n">linalg</span>
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<span class="kn">from</span> <span class="nn">.</span> <span class="kn">import</span> <span class="n">misc</span>
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<span class="kn">from</span> <span class="nn">.</span> <span class="kn">import</span> <span class="n">mpm</span>
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<span class="kn">from</span> <span class="nn">.</span> <span class="kn">import</span> <span class="n">npr</span>
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<span class="kn">from</span> <span class="nn">.</span> <span class="kn">import</span> <span class="n">roots</span>
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<span class="kn">from</span> <span class="nn">.version</span> <span class="kn">import</span> <span class="n">__version__</span>
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@ -50,6 +50,18 @@
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<li>
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<a class="function" href="#read_meson_hd5">read_meson_hd5</a>
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</li>
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<li>
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<a class="class" href="#Npr_matrix">Npr_matrix</a>
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<ul class="memberlist">
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<li>
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<a class="function" href="#Npr_matrix.__init__">Npr_matrix</a>
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</li>
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<li>
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<a class="variable" href="#Npr_matrix.g5H">g5H</a>
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</li>
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</ul>
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</li>
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<li>
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<a class="function" href="#read_ExternalLeg_hd5">read_ExternalLeg_hd5</a>
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</li>
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@ -83,7 +95,6 @@
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<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
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<span class="kn">from</span> <span class="nn">..obs</span> <span class="kn">import</span> <span class="n">Obs</span><span class="p">,</span> <span class="n">CObs</span>
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<span class="kn">from</span> <span class="nn">..correlators</span> <span class="kn">import</span> <span class="n">Corr</span>
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<span class="kn">from</span> <span class="nn">..npr</span> <span class="kn">import</span> <span class="n">Npr_matrix</span>
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<span class="k">def</span> <span class="nf">_get_files</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="n">filestem</span><span class="p">):</span>
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@ -161,6 +172,46 @@
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<span class="k">return</span> <span class="n">corr</span>
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<span class="k">class</span> <span class="nc">Npr_matrix</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">):</span>
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<span class="k">def</span> <span class="fm">__new__</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">input_array</span><span class="p">,</span> <span class="n">mom_in</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">mom_out</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
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<span class="n">obj</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">input_array</span><span class="p">)</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="bp">cls</span><span class="p">)</span>
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<span class="n">obj</span><span class="o">.</span><span class="n">mom_in</span> <span class="o">=</span> <span class="n">mom_in</span>
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<span class="n">obj</span><span class="o">.</span><span class="n">mom_out</span> <span class="o">=</span> <span class="n">mom_out</span>
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<span class="k">return</span> <span class="n">obj</span>
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<span class="nd">@property</span>
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<span class="k">def</span> <span class="nf">g5H</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
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<span class="sd">"""Gamma_5 hermitean conjugate</span>
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<span class="sd"> Uses the fact that the propagator is gamma5 hermitean, so just the</span>
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<span class="sd"> in and out momenta of the propagator are exchanged.</span>
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<span class="sd"> """</span>
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<span class="k">return</span> <span class="n">Npr_matrix</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span>
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<span class="n">mom_in</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">mom_out</span><span class="p">,</span>
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<span class="n">mom_out</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">mom_in</span><span class="p">)</span>
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<span class="k">def</span> <span class="nf">_propagate_mom</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">,</span> <span class="n">name</span><span class="p">):</span>
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<span class="n">s_mom</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">name</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
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<span class="n">o_mom</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="n">name</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
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<span class="k">if</span> <span class="n">s_mom</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">o_mom</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
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<span class="k">if</span> <span class="ow">not</span> <span class="n">np</span><span class="o">.</span><span class="n">allclose</span><span class="p">(</span><span class="n">s_mom</span><span class="p">,</span> <span class="n">o_mom</span><span class="p">):</span>
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<span class="k">raise</span> <span class="ne">Exception</span><span class="p">(</span><span class="n">name</span> <span class="o">+</span> <span class="s1">' does not match.'</span><span class="p">)</span>
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<span class="k">return</span> <span class="n">o_mom</span> <span class="k">if</span> <span class="n">o_mom</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">s_mom</span>
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<span class="k">def</span> <span class="fm">__matmul__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">):</span>
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<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="fm">__new__</span><span class="p">(</span><span class="n">Npr_matrix</span><span class="p">,</span>
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<span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__matmul__</span><span class="p">(</span><span class="n">other</span><span class="p">),</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">_propagate_mom</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="s1">'mom_in'</span><span class="p">),</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">_propagate_mom</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="s1">'mom_out'</span><span class="p">))</span>
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<span class="k">def</span> <span class="nf">__array_finalize__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">obj</span><span class="p">):</span>
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<span class="k">if</span> <span class="n">obj</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
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<span class="k">return</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">mom_in</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="s1">'mom_in'</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">mom_out</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="s1">'mom_out'</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
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<span class="k">def</span> <span class="nf">read_ExternalLeg_hd5</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="n">filestem</span><span class="p">,</span> <span class="n">ens_id</span><span class="p">,</span> <span class="n">order</span><span class="o">=</span><span class="s1">'F'</span><span class="p">):</span>
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<span class="sd">"""Read hadrons ExternalLeg hdf5 file and output an array of CObs</span>
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@ -332,6 +383,292 @@ from other modules with similar structures.</li>
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</div>
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</section>
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<section id="Npr_matrix">
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<div class="attr class">
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<a class="headerlink" href="#Npr_matrix">#  </a>
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<span class="def">class</span>
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<span class="name">Npr_matrix</span><wbr>(<span class="base">numpy.ndarray</span>):
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</div>
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<details>
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<summary>View Source</summary>
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<div class="codehilite"><pre><span></span><span class="k">class</span> <span class="nc">Npr_matrix</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">):</span>
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<span class="k">def</span> <span class="fm">__new__</span><span class="p">(</span><span class="bp">cls</span><span class="p">,</span> <span class="n">input_array</span><span class="p">,</span> <span class="n">mom_in</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">mom_out</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
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<span class="n">obj</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">asarray</span><span class="p">(</span><span class="n">input_array</span><span class="p">)</span><span class="o">.</span><span class="n">view</span><span class="p">(</span><span class="bp">cls</span><span class="p">)</span>
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<span class="n">obj</span><span class="o">.</span><span class="n">mom_in</span> <span class="o">=</span> <span class="n">mom_in</span>
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<span class="n">obj</span><span class="o">.</span><span class="n">mom_out</span> <span class="o">=</span> <span class="n">mom_out</span>
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<span class="k">return</span> <span class="n">obj</span>
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<span class="nd">@property</span>
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<span class="k">def</span> <span class="nf">g5H</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
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<span class="sd">"""Gamma_5 hermitean conjugate</span>
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<span class="sd"> Uses the fact that the propagator is gamma5 hermitean, so just the</span>
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<span class="sd"> in and out momenta of the propagator are exchanged.</span>
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<span class="sd"> """</span>
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<span class="k">return</span> <span class="n">Npr_matrix</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span>
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<span class="n">mom_in</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">mom_out</span><span class="p">,</span>
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<span class="n">mom_out</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">mom_in</span><span class="p">)</span>
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<span class="k">def</span> <span class="nf">_propagate_mom</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">,</span> <span class="n">name</span><span class="p">):</span>
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<span class="n">s_mom</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">name</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
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<span class="n">o_mom</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="n">name</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
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<span class="k">if</span> <span class="n">s_mom</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">o_mom</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
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<span class="k">if</span> <span class="ow">not</span> <span class="n">np</span><span class="o">.</span><span class="n">allclose</span><span class="p">(</span><span class="n">s_mom</span><span class="p">,</span> <span class="n">o_mom</span><span class="p">):</span>
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<span class="k">raise</span> <span class="ne">Exception</span><span class="p">(</span><span class="n">name</span> <span class="o">+</span> <span class="s1">' does not match.'</span><span class="p">)</span>
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<span class="k">return</span> <span class="n">o_mom</span> <span class="k">if</span> <span class="n">o_mom</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">s_mom</span>
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<span class="k">def</span> <span class="fm">__matmul__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">other</span><span class="p">):</span>
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<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="fm">__new__</span><span class="p">(</span><span class="n">Npr_matrix</span><span class="p">,</span>
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<span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__matmul__</span><span class="p">(</span><span class="n">other</span><span class="p">),</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">_propagate_mom</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="s1">'mom_in'</span><span class="p">),</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">_propagate_mom</span><span class="p">(</span><span class="n">other</span><span class="p">,</span> <span class="s1">'mom_out'</span><span class="p">))</span>
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<span class="k">def</span> <span class="nf">__array_finalize__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">obj</span><span class="p">):</span>
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<span class="k">if</span> <span class="n">obj</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
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<span class="k">return</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">mom_in</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="s1">'mom_in'</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">mom_out</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="s1">'mom_out'</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
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</pre></div>
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</details>
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<div class="docstring"><p>ndarray(shape, dtype=float, buffer=None, offset=0,
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strides=None, order=None)</p>
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<p>An array object represents a multidimensional, homogeneous array
|
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of fixed-size items. An associated data-type object describes the
|
||||
format of each element in the array (its byte-order, how many bytes it
|
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occupies in memory, whether it is an integer, a floating point number,
|
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or something else, etc.)</p>
|
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|
||||
<p>Arrays should be constructed using <code>array</code>, <code>zeros</code> or <code>empty</code> (refer
|
||||
to the See Also section below). The parameters given here refer to
|
||||
a low-level method (<code>ndarray(...)</code>) for instantiating an array.</p>
|
||||
|
||||
<p>For more information, refer to the <code>numpy</code> module and examine the
|
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methods and attributes of an array.</p>
|
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<h6 id="parameters">Parameters</h6>
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|
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<ul>
|
||||
<li><strong>(for the __new__ method; see Notes below)</strong></li>
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<li><strong>shape</strong> (tuple of ints):
|
||||
Shape of created array.</li>
|
||||
<li><strong>dtype</strong> (data-type, optional):
|
||||
Any object that can be interpreted as a numpy data type.</li>
|
||||
<li><strong>buffer</strong> (object exposing buffer interface, optional):
|
||||
Used to fill the array with data.</li>
|
||||
<li><strong>offset</strong> (int, optional):
|
||||
Offset of array data in buffer.</li>
|
||||
<li><strong>strides</strong> (tuple of ints, optional):
|
||||
Strides of data in memory.</li>
|
||||
<li><strong>order</strong> ({'C', 'F'}, optional):
|
||||
Row-major (C-style) or column-major (Fortran-style) order.</li>
|
||||
</ul>
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||||
|
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<h6 id="attributes">Attributes</h6>
|
||||
|
||||
<ul>
|
||||
<li><strong>T</strong> (ndarray):
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||||
Transpose of the array.</li>
|
||||
<li><strong>data</strong> (buffer):
|
||||
The array's elements, in memory.</li>
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||||
<li><strong>dtype</strong> (dtype object):
|
||||
Describes the format of the elements in the array.</li>
|
||||
<li><strong>flags</strong> (dict):
|
||||
Dictionary containing information related to memory use, e.g.,
|
||||
'C_CONTIGUOUS', 'OWNDATA', 'WRITEABLE', etc.</li>
|
||||
<li><strong>flat</strong> (numpy.flatiter object):
|
||||
Flattened version of the array as an iterator. The iterator
|
||||
allows assignments, e.g., <code>x.flat = 3</code> (See <code>ndarray.flat</code> for
|
||||
assignment examples; TODO).</li>
|
||||
<li><strong>imag</strong> (ndarray):
|
||||
Imaginary part of the array.</li>
|
||||
<li><strong>real</strong> (ndarray):
|
||||
Real part of the array.</li>
|
||||
<li><strong>size</strong> (int):
|
||||
Number of elements in the array.</li>
|
||||
<li><strong>itemsize</strong> (int):
|
||||
The memory use of each array element in bytes.</li>
|
||||
<li><strong>nbytes</strong> (int):
|
||||
The total number of bytes required to store the array data,
|
||||
i.e., <code>itemsize * size</code>.</li>
|
||||
<li><strong>ndim</strong> (int):
|
||||
The array's number of dimensions.</li>
|
||||
<li><strong>shape</strong> (tuple of ints):
|
||||
Shape of the array.</li>
|
||||
<li><strong>strides</strong> (tuple of ints):
|
||||
The step-size required to move from one element to the next in
|
||||
memory. For example, a contiguous <code>(3, 4)</code> array of type
|
||||
<code>int16</code> in C-order has strides <code>(8, 2)</code>. This implies that
|
||||
to move from element to element in memory requires jumps of 2 bytes.
|
||||
To move from row-to-row, one needs to jump 8 bytes at a time
|
||||
(<code>2 * 4</code>).</li>
|
||||
<li><strong>ctypes</strong> (ctypes object):
|
||||
Class containing properties of the array needed for interaction
|
||||
with ctypes.</li>
|
||||
<li><strong>base</strong> (ndarray):
|
||||
If the array is a view into another array, that array is its <code><a href="#Npr_matrix.base">base</a></code>
|
||||
(unless that array is also a view). The <code><a href="#Npr_matrix.base">base</a></code> array is where the
|
||||
array data is actually stored.</li>
|
||||
</ul>
|
||||
|
||||
<h6 id="see-also">See Also</h6>
|
||||
|
||||
<p><code>array</code>: Construct an array. <br />
|
||||
<code>zeros</code>: Create an array, each element of which is zero. <br />
|
||||
<code>empty</code>: Create an array, but leave its allocated memory unchanged (i.e.,
|
||||
it contains "garbage"). <br />
|
||||
<code><a href="#Npr_matrix.dtype">dtype</a></code>: Create a data-type. <br />
|
||||
<code>numpy.typing.NDArray</code>: A :term:<code>generic <generic type></code> version
|
||||
of ndarray. </p>
|
||||
|
||||
<h6 id="notes">Notes</h6>
|
||||
|
||||
<p>There are two modes of creating an array using <code>__new__</code>:</p>
|
||||
|
||||
<ol>
|
||||
<li>If <code>buffer</code> is None, then only <code><a href="#Npr_matrix.shape">shape</a></code>, <code><a href="#Npr_matrix.dtype">dtype</a></code>, and <code>order</code>
|
||||
are used.</li>
|
||||
<li>If <code>buffer</code> is an object exposing the buffer interface, then
|
||||
all keywords are interpreted.</li>
|
||||
</ol>
|
||||
|
||||
<p>No <code><a href="#Npr_matrix.__init__">__init__</a></code> method is needed because the array is fully initialized
|
||||
after the <code>__new__</code> method.</p>
|
||||
|
||||
<h6 id="examples">Examples</h6>
|
||||
|
||||
<p>These examples illustrate the low-level <code>ndarray</code> constructor. Refer
|
||||
to the <code>See Also</code> section above for easier ways of constructing an
|
||||
ndarray.</p>
|
||||
|
||||
<p>First mode, <code>buffer</code> is None:</p>
|
||||
|
||||
<div class="codehilite"><pre><span></span><code><span class="gp">>>> </span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">(</span><span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span><span class="mi">2</span><span class="p">),</span> <span class="n">dtype</span><span class="o">=</span><span class="nb">float</span><span class="p">,</span> <span class="n">order</span><span class="o">=</span><span class="s1">'F'</span><span class="p">)</span>
|
||||
<span class="go">array([[0.0e+000, 0.0e+000], # random</span>
|
||||
<span class="go"> [ nan, 2.5e-323]])</span>
|
||||
</code></pre></div>
|
||||
|
||||
<p>Second mode:</p>
|
||||
|
||||
<div class="codehilite"><pre><span></span><code><span class="gp">>>> </span><span class="n">np</span><span class="o">.</span><span class="n">ndarray</span><span class="p">((</span><span class="mi">2</span><span class="p">,),</span> <span class="n">buffer</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">]),</span>
|
||||
<span class="gp">... </span> <span class="n">offset</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">int_</span><span class="p">()</span><span class="o">.</span><span class="n">itemsize</span><span class="p">,</span>
|
||||
<span class="gp">... </span> <span class="n">dtype</span><span class="o">=</span><span class="nb">int</span><span class="p">)</span> <span class="c1"># offset = 1*itemsize, i.e. skip first element</span>
|
||||
<span class="go">array([2, 3])</span>
|
||||
</code></pre></div>
|
||||
</div>
|
||||
|
||||
|
||||
<div id="Npr_matrix.__init__" class="classattr">
|
||||
<div class="attr function"><a class="headerlink" href="#Npr_matrix.__init__">#  </a>
|
||||
|
||||
|
||||
<span class="name">Npr_matrix</span><span class="signature">()</span>
|
||||
</div>
|
||||
|
||||
|
||||
|
||||
|
||||
</div>
|
||||
<div id="Npr_matrix.g5H" class="classattr">
|
||||
<div class="attr variable"><a class="headerlink" href="#Npr_matrix.g5H">#  </a>
|
||||
|
||||
<span class="name">g5H</span>
|
||||
</div>
|
||||
|
||||
<div class="docstring"><p>Gamma_5 hermitean conjugate</p>
|
||||
|
||||
<p>Uses the fact that the propagator is gamma5 hermitean, so just the
|
||||
in and out momenta of the propagator are exchanged.</p>
|
||||
</div>
|
||||
|
||||
|
||||
</div>
|
||||
<div class="inherited">
|
||||
<h5>Inherited Members</h5>
|
||||
<dl>
|
||||
<div><dt>numpy.ndarray</dt>
|
||||
<dd id="Npr_matrix.dumps" class="function">dumps</dd>
|
||||
<dd id="Npr_matrix.dump" class="function">dump</dd>
|
||||
<dd id="Npr_matrix.all" class="function">all</dd>
|
||||
<dd id="Npr_matrix.any" class="function">any</dd>
|
||||
<dd id="Npr_matrix.argmax" class="function">argmax</dd>
|
||||
<dd id="Npr_matrix.argmin" class="function">argmin</dd>
|
||||
<dd id="Npr_matrix.argpartition" class="function">argpartition</dd>
|
||||
<dd id="Npr_matrix.argsort" class="function">argsort</dd>
|
||||
<dd id="Npr_matrix.astype" class="function">astype</dd>
|
||||
<dd id="Npr_matrix.byteswap" class="function">byteswap</dd>
|
||||
<dd id="Npr_matrix.choose" class="function">choose</dd>
|
||||
<dd id="Npr_matrix.clip" class="function">clip</dd>
|
||||
<dd id="Npr_matrix.compress" class="function">compress</dd>
|
||||
<dd id="Npr_matrix.conj" class="function">conj</dd>
|
||||
<dd id="Npr_matrix.conjugate" class="function">conjugate</dd>
|
||||
<dd id="Npr_matrix.copy" class="function">copy</dd>
|
||||
<dd id="Npr_matrix.cumprod" class="function">cumprod</dd>
|
||||
<dd id="Npr_matrix.cumsum" class="function">cumsum</dd>
|
||||
<dd id="Npr_matrix.diagonal" class="function">diagonal</dd>
|
||||
<dd id="Npr_matrix.dot" class="function">dot</dd>
|
||||
<dd id="Npr_matrix.fill" class="function">fill</dd>
|
||||
<dd id="Npr_matrix.flatten" class="function">flatten</dd>
|
||||
<dd id="Npr_matrix.getfield" class="function">getfield</dd>
|
||||
<dd id="Npr_matrix.item" class="function">item</dd>
|
||||
<dd id="Npr_matrix.itemset" class="function">itemset</dd>
|
||||
<dd id="Npr_matrix.max" class="function">max</dd>
|
||||
<dd id="Npr_matrix.mean" class="function">mean</dd>
|
||||
<dd id="Npr_matrix.min" class="function">min</dd>
|
||||
<dd id="Npr_matrix.newbyteorder" class="function">newbyteorder</dd>
|
||||
<dd id="Npr_matrix.nonzero" class="function">nonzero</dd>
|
||||
<dd id="Npr_matrix.partition" class="function">partition</dd>
|
||||
<dd id="Npr_matrix.prod" class="function">prod</dd>
|
||||
<dd id="Npr_matrix.ptp" class="function">ptp</dd>
|
||||
<dd id="Npr_matrix.put" class="function">put</dd>
|
||||
<dd id="Npr_matrix.ravel" class="function">ravel</dd>
|
||||
<dd id="Npr_matrix.repeat" class="function">repeat</dd>
|
||||
<dd id="Npr_matrix.reshape" class="function">reshape</dd>
|
||||
<dd id="Npr_matrix.resize" class="function">resize</dd>
|
||||
<dd id="Npr_matrix.round" class="function">round</dd>
|
||||
<dd id="Npr_matrix.searchsorted" class="function">searchsorted</dd>
|
||||
<dd id="Npr_matrix.setfield" class="function">setfield</dd>
|
||||
<dd id="Npr_matrix.setflags" class="function">setflags</dd>
|
||||
<dd id="Npr_matrix.sort" class="function">sort</dd>
|
||||
<dd id="Npr_matrix.squeeze" class="function">squeeze</dd>
|
||||
<dd id="Npr_matrix.std" class="function">std</dd>
|
||||
<dd id="Npr_matrix.sum" class="function">sum</dd>
|
||||
<dd id="Npr_matrix.swapaxes" class="function">swapaxes</dd>
|
||||
<dd id="Npr_matrix.take" class="function">take</dd>
|
||||
<dd id="Npr_matrix.tobytes" class="function">tobytes</dd>
|
||||
<dd id="Npr_matrix.tofile" class="function">tofile</dd>
|
||||
<dd id="Npr_matrix.tolist" class="function">tolist</dd>
|
||||
<dd id="Npr_matrix.tostring" class="function">tostring</dd>
|
||||
<dd id="Npr_matrix.trace" class="function">trace</dd>
|
||||
<dd id="Npr_matrix.transpose" class="function">transpose</dd>
|
||||
<dd id="Npr_matrix.var" class="function">var</dd>
|
||||
<dd id="Npr_matrix.view" class="function">view</dd>
|
||||
<dd id="Npr_matrix.ndim" class="variable">ndim</dd>
|
||||
<dd id="Npr_matrix.flags" class="variable">flags</dd>
|
||||
<dd id="Npr_matrix.shape" class="variable">shape</dd>
|
||||
<dd id="Npr_matrix.strides" class="variable">strides</dd>
|
||||
<dd id="Npr_matrix.data" class="variable">data</dd>
|
||||
<dd id="Npr_matrix.itemsize" class="variable">itemsize</dd>
|
||||
<dd id="Npr_matrix.size" class="variable">size</dd>
|
||||
<dd id="Npr_matrix.nbytes" class="variable">nbytes</dd>
|
||||
<dd id="Npr_matrix.base" class="variable">base</dd>
|
||||
<dd id="Npr_matrix.dtype" class="variable">dtype</dd>
|
||||
<dd id="Npr_matrix.real" class="variable">real</dd>
|
||||
<dd id="Npr_matrix.imag" class="variable">imag</dd>
|
||||
<dd id="Npr_matrix.flat" class="variable">flat</dd>
|
||||
<dd id="Npr_matrix.ctypes" class="variable">ctypes</dd>
|
||||
<dd id="Npr_matrix.T" class="variable">T</dd>
|
||||
|
||||
</div>
|
||||
</dl>
|
||||
</div>
|
||||
</section>
|
||||
<section id="read_ExternalLeg_hd5">
|
||||
<div class="attr function"><a class="headerlink" href="#read_ExternalLeg_hd5">#  </a>
|
||||
|
|
|
|||
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Add table
Reference in a new issue