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@maxnoe
maxnoe committed Jan 22, 2024
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Expand Down Expand Up @@ -143,9 +143,9 @@ <h1>Source code for pyirf.interpolation.nearest_neighbor_searcher</h1><div class
<span class="sd"> TypeError:</span>
<span class="sd"> If norm_ord is not non-zero integer</span>

<span class="sd"> Note</span>
<span class="sd"> ----</span>
<span class="sd"> Also calls pyirf.interpolation.BaseInterpolators.__init__</span>
<span class="sd"> Notes</span>
<span class="sd"> -----</span>
<span class="sd"> Also calls pyirf.interpolation.BaseInterpolators.__init__</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">grid_points</span><span class="p">)</span>

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<span class="sd"> content_new: numpy.ndarray, shape=(1, ...)</span>
<span class="sd"> values at nearest neighbor</span>

<span class="sd"> Note</span>
<span class="sd"> ----</span>
<span class="sd"> In case of multiple nearest neighbors, the values corresponding</span>
<span class="sd"> to the first one are returned.</span>
<span class="sd"> Notes</span>
<span class="sd"> -----</span>
<span class="sd"> In case of multiple nearest neighbors, the values corresponding</span>
<span class="sd"> to the first one are returned.</span>
<span class="sd"> &quot;&quot;&quot;</span>

<span class="k">if</span> <span class="n">target_point</span><span class="o">.</span><span class="n">ndim</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
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<span class="sd"> passed to numpy.linalg.norm [1]. Defaults to 2,</span>
<span class="sd"> which uses the euclidean norm.</span>

<span class="sd"> Note</span>
<span class="sd"> ----</span>
<span class="sd"> Also calls pyirf.interpolation.BaseNearestNeighborSearcher.__init__</span>
<span class="sd"> Notes</span>
<span class="sd"> -----</span>
<span class="sd"> Also calls pyirf.interpolation.BaseNearestNeighborSearcher.__init__</span>
<span class="sd"> &quot;&quot;&quot;</span>

<span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">grid_points</span><span class="o">=</span><span class="n">grid_points</span><span class="p">,</span> <span class="n">values</span><span class="o">=</span><span class="n">binned_pdf</span><span class="p">,</span> <span class="n">norm_ord</span><span class="o">=</span><span class="n">norm_ord</span><span class="p">)</span></div>
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<span class="sd"> passed to numpy.linalg.norm [1]. Defaults to 2,</span>
<span class="sd"> which uses the euclidean norm.</span>

<span class="sd"> Note</span>
<span class="sd"> Notes</span>
<span class="sd"> ----</span>
<span class="sd"> Also calls pyirf.interpolation.BaseNearestNeighborSearcher.__init__</span>
<span class="sd"> Also calls pyirf.interpolation.BaseNearestNeighborSearcher.__init__</span>
<span class="sd"> &quot;&quot;&quot;</span>

<span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="n">grid_points</span><span class="o">=</span><span class="n">grid_points</span><span class="p">,</span> <span class="n">values</span><span class="o">=</span><span class="n">params</span><span class="p">,</span> <span class="n">norm_ord</span><span class="o">=</span><span class="n">norm_ord</span><span class="p">)</span></div>
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