Sarah Segel: Merge pull request #97 from automl/bug/status_running

development/.buildinfo

@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 439ea99219ea3cfcfcb6a0ab98c735be
+config: 5eac73f91509e54461eda47c063a78e4
 tags: 645f666f9bcd5a90fca523b33c5a78b7

development/_modules/deepcave/runs/converters/bohb.html

@@ -732,7 +732,6 @@ <h1>Source code for deepcave.runs.converters.bohb</h1><div class="highlight"><pr
 
         <span class="n">first_starttime</span> <span class="o">=</span> <span class="kc">None</span>
         <span class="k">for</span> <span class="n">bohb_run</span> <span class="ow">in</span> <span class="n">bohb</span><span class="o">.</span><span class="n">get_all_runs</span><span class="p">():</span>
-
             <span class="n">times</span> <span class="o">=</span> <span class="n">bohb_run</span><span class="o">.</span><span class="n">time_stamps</span>
             <span class="n">starttime</span> <span class="o">=</span> <span class="n">times</span><span class="p">[</span><span class="s2">&quot;started&quot;</span><span class="p">]</span>
             <span class="n">endtime</span> <span class="o">=</span> <span class="n">times</span><span class="p">[</span><span class="s2">&quot;finished&quot;</span><span class="p">]</span>
@@ -760,7 +759,7 @@ <h1>Source code for deepcave.runs.converters.bohb</h1><div class="highlight"><pr
             <span class="k">if</span> <span class="s2">&quot;SUCCESS&quot;</span> <span class="ow">in</span> <span class="n">status</span> <span class="ow">or</span> <span class="s2">&quot;TERMINATED&quot;</span> <span class="ow">in</span> <span class="n">status</span> <span class="ow">or</span> <span class="s2">&quot;COMPLETED&quot;</span> <span class="ow">in</span> <span class="n">status</span><span class="p">:</span>
                 <span class="n">status</span> <span class="o">=</span> <span class="n">Status</span><span class="o">.</span><span class="n">SUCCESS</span>
             <span class="k">elif</span> <span class="s2">&quot;RUNNING&quot;</span> <span class="ow">in</span> <span class="n">status</span> <span class="ow">or</span> <span class="s2">&quot;QUEUED&quot;</span> <span class="ow">in</span> <span class="n">status</span> <span class="ow">or</span> <span class="s2">&quot;REVIEW&quot;</span> <span class="ow">in</span> <span class="n">status</span><span class="p">:</span>
-                <span class="n">status</span> <span class="o">=</span> <span class="n">Status</span><span class="o">.</span><span class="n">RUNNING</span>
+                <span class="k">continue</span>
             <span class="k">else</span><span class="p">:</span>
                 <span class="n">status</span> <span class="o">=</span> <span class="n">Status</span><span class="o">.</span><span class="n">CRASHED</span>
 

development/_sources/examples/api/parallel_coordinates.rst.txt

@@ -26,7 +26,7 @@ Note that other plugins use the same interfaces and can be used in the same fash
 
 .. GENERATED FROM PYTHON SOURCE LINES 8-34
 
-.. code-block:: default
+.. code-block:: Python
 
 
     from deepcave.plugins.objective.parallel_coordinates import ParallelCoordinates
@@ -56,24 +56,16 @@ Note that other plugins use the same interfaces and can be used in the same fash
         # figure.write_image("examples/api/test.png")
 
 
-.. rst-class:: sphx-glr-timing
-
-   **Total running time of the script:** (0 minutes 0.000 seconds)
-
-
 .. _sphx_glr_download_examples_api_parallel_coordinates.py:
 
 .. only:: html
 
   .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
-
+      :download:`Download Jupyter notebook: parallel_coordinates.ipynb <parallel_coordinates.ipynb>`
 
     .. container:: sphx-glr-download sphx-glr-download-python
 
       :download:`Download Python source code: parallel_coordinates.py <parallel_coordinates.py>`
-
-    .. container:: sphx-glr-download sphx-glr-download-jupyter
-
-      :download:`Download Jupyter notebook: parallel_coordinates.ipynb <parallel_coordinates.ipynb>`

development/_sources/examples/api/sg_execution_times.rst.txt

@@ -0,0 +1,37 @@
+
+:orphan:
+
+.. _sphx_glr_examples_api_sg_execution_times:
+
+
+Computation times
+=================
+**00:00.000** total execution time for 1 file **from examples/api**:
+
+.. container::
+
+  .. raw:: html
+
+    <style scoped>
+    <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
+    <link href="https://cdn.datatables.net/1.13.6/css/dataTables.bootstrap5.min.css" rel="stylesheet" />
+    </style>
+    <script src="https://code.jquery.com/jquery-3.7.0.js"></script>
+    <script src="https://cdn.datatables.net/1.13.6/js/jquery.dataTables.min.js"></script>
+    <script src="https://cdn.datatables.net/1.13.6/js/dataTables.bootstrap5.min.js"></script>
+    <script type="text/javascript" class="init">
+    $(document).ready( function () {
+        $('table.sg-datatable').DataTable({order: [[1, 'desc']]});
+    } );
+    </script>
+
+  .. list-table::
+   :header-rows: 1
+   :class: table table-striped sg-datatable
+
+   * - Example
+     - Time
+     - Mem (MB)
+   * - :ref:`sphx_glr_examples_api_parallel_coordinates.py` (``parallel_coordinates.py``)
+     - 00:00.000
+     - 0.0

development/_sources/examples/record/digits_sklearn.rst.txt

@@ -26,7 +26,7 @@ process in DeepCAVE format.
 
 .. GENERATED FROM PYTHON SOURCE LINES 8-94
 
-.. code-block:: default
+.. code-block:: Python
 
 
     from sklearn.neural_network import MLPClassifier
@@ -116,24 +116,16 @@ process in DeepCAVE format.
                         r.end(costs=[score, None])
 
 
-.. rst-class:: sphx-glr-timing
-
-   **Total running time of the script:** (0 minutes 0.000 seconds)
-
-
 .. _sphx_glr_download_examples_record_digits_sklearn.py:
 
 .. only:: html
 
   .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
-
+      :download:`Download Jupyter notebook: digits_sklearn.ipynb <digits_sklearn.ipynb>`
 
     .. container:: sphx-glr-download sphx-glr-download-python
 
       :download:`Download Python source code: digits_sklearn.py <digits_sklearn.py>`
-
-    .. container:: sphx-glr-download sphx-glr-download-jupyter
-
-      :download:`Download Jupyter notebook: digits_sklearn.ipynb <digits_sklearn.ipynb>`

development/_sources/examples/record/minimal.rst.txt

@@ -25,7 +25,7 @@ This example shows how DeepCAVE can be used to record a minimal run.
 
 .. GENERATED FROM PYTHON SOURCE LINES 7-33
 
-.. code-block:: default
+.. code-block:: Python
 
 
 
@@ -55,24 +55,16 @@ This example shows how DeepCAVE can be used to record a minimal run.
                 r.end(costs=[accuracy, None])
 
 
-.. rst-class:: sphx-glr-timing
-
-   **Total running time of the script:** (0 minutes 0.000 seconds)
-
-
 .. _sphx_glr_download_examples_record_minimal.py:
 
 .. only:: html
 
   .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
-
+      :download:`Download Jupyter notebook: minimal.ipynb <minimal.ipynb>`
 
     .. container:: sphx-glr-download sphx-glr-download-python
 
       :download:`Download Python source code: minimal.py <minimal.py>`
-
-    .. container:: sphx-glr-download sphx-glr-download-jupyter
-
-      :download:`Download Jupyter notebook: minimal.ipynb <minimal.ipynb>`

development/_sources/examples/record/mnist_pytorch.rst.txt

@@ -26,7 +26,7 @@ show the strenghts of DeepCAVE's recorder.
 
 .. GENERATED FROM PYTHON SOURCE LINES 8-288
 
-.. code-block:: default
+.. code-block:: Python
 
 
 
@@ -310,24 +310,16 @@ show the strenghts of DeepCAVE's recorder.
                         r.end(costs=[accuracy_, loss_, elapsed_time], status=status)
 
 
-.. rst-class:: sphx-glr-timing
-
-   **Total running time of the script:** (0 minutes 0.000 seconds)
-
-
 .. _sphx_glr_download_examples_record_mnist_pytorch.py:
 
 .. only:: html
 
   .. container:: sphx-glr-footer sphx-glr-footer-example
 
+    .. container:: sphx-glr-download sphx-glr-download-jupyter
 
-
+      :download:`Download Jupyter notebook: mnist_pytorch.ipynb <mnist_pytorch.ipynb>`
 
     .. container:: sphx-glr-download sphx-glr-download-python
 
       :download:`Download Python source code: mnist_pytorch.py <mnist_pytorch.py>`
-
-    .. container:: sphx-glr-download sphx-glr-download-jupyter
-
-      :download:`Download Jupyter notebook: mnist_pytorch.ipynb <mnist_pytorch.ipynb>`

development/_sources/examples/record/sg_execution_times.rst.txt

@@ -0,0 +1,43 @@
+
+:orphan:
+
+.. _sphx_glr_examples_record_sg_execution_times:
+
+
+Computation times
+=================
+**00:00.000** total execution time for 3 files **from examples/record**:
+
+.. container::
+
+  .. raw:: html
+
+    <style scoped>
+    <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
+    <link href="https://cdn.datatables.net/1.13.6/css/dataTables.bootstrap5.min.css" rel="stylesheet" />
+    </style>
+    <script src="https://code.jquery.com/jquery-3.7.0.js"></script>
+    <script src="https://cdn.datatables.net/1.13.6/js/jquery.dataTables.min.js"></script>
+    <script src="https://cdn.datatables.net/1.13.6/js/dataTables.bootstrap5.min.js"></script>
+    <script type="text/javascript" class="init">
+    $(document).ready( function () {
+        $('table.sg-datatable').DataTable({order: [[1, 'desc']]});
+    } );
+    </script>
+
+  .. list-table::
+   :header-rows: 1
+   :class: table table-striped sg-datatable
+
+   * - Example
+     - Time
+     - Mem (MB)
+   * - :ref:`sphx_glr_examples_record_digits_sklearn.py` (``digits_sklearn.py``)
+     - 00:00.000
+     - 0.0
+   * - :ref:`sphx_glr_examples_record_minimal.py` (``minimal.py``)
+     - 00:00.000
+     - 0.0
+   * - :ref:`sphx_glr_examples_record_mnist_pytorch.py` (``mnist_pytorch.py``)
+     - 00:00.000
+     - 0.0

development/_sources/examples/sg_execution_times.rst.txt

@@ -0,0 +1,37 @@
+
+:orphan:
+
+.. _sphx_glr_examples_sg_execution_times:
+
+
+Computation times
+=================
+**00:00.000** total execution time for 0 files **from examples**:
+
+.. container::
+
+  .. raw:: html
+
+    <style scoped>
+    <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
+    <link href="https://cdn.datatables.net/1.13.6/css/dataTables.bootstrap5.min.css" rel="stylesheet" />
+    </style>
+    <script src="https://code.jquery.com/jquery-3.7.0.js"></script>
+    <script src="https://cdn.datatables.net/1.13.6/js/jquery.dataTables.min.js"></script>
+    <script src="https://cdn.datatables.net/1.13.6/js/dataTables.bootstrap5.min.js"></script>
+    <script type="text/javascript" class="init">
+    $(document).ready( function () {
+        $('table.sg-datatable').DataTable({order: [[1, 'desc']]});
+    } );
+    </script>
+
+  .. list-table::
+   :header-rows: 1
+   :class: table table-striped sg-datatable
+
+   * - Example
+     - Time
+     - Mem (MB)
+   * - N/A
+     - N/A
+     - N/A

development/_sources/sg_execution_times.rst.txt

@@ -0,0 +1,46 @@
+
+:orphan:
+
+.. _sphx_glr_sg_execution_times:
+
+
+Computation times
+=================
+**00:00.000** total execution time for 4 files **from all galleries**:
+
+.. container::
+
+  .. raw:: html
+
+    <style scoped>
+    <link href="https://cdnjs.cloudflare.com/ajax/libs/twitter-bootstrap/5.3.0/css/bootstrap.min.css" rel="stylesheet" />
+    <link href="https://cdn.datatables.net/1.13.6/css/dataTables.bootstrap5.min.css" rel="stylesheet" />
+    </style>
+    <script src="https://code.jquery.com/jquery-3.7.0.js"></script>
+    <script src="https://cdn.datatables.net/1.13.6/js/jquery.dataTables.min.js"></script>
+    <script src="https://cdn.datatables.net/1.13.6/js/dataTables.bootstrap5.min.js"></script>
+    <script type="text/javascript" class="init">
+    $(document).ready( function () {
+        $('table.sg-datatable').DataTable({order: [[1, 'desc']]});
+    } );
+    </script>
+
+  .. list-table::
+   :header-rows: 1
+   :class: table table-striped sg-datatable
+
+   * - Example
+     - Time
+     - Mem (MB)
+   * - :ref:`sphx_glr_examples_api_parallel_coordinates.py` (``../examples/api/parallel_coordinates.py``)
+     - 00:00.000
+     - 0.0
+   * - :ref:`sphx_glr_examples_record_digits_sklearn.py` (``../examples/record/digits_sklearn.py``)
+     - 00:00.000
+     - 0.0
+   * - :ref:`sphx_glr_examples_record_minimal.py` (``../examples/record/minimal.py``)
+     - 00:00.000
+     - 0.0
+   * - :ref:`sphx_glr_examples_record_mnist_pytorch.py` (``../examples/record/mnist_pytorch.py``)
+     - 00:00.000
+     - 0.0

development/api/deepcave.evaluators.epm.random_forest.html

@@ -774,7 +774,7 @@
 <dd class="field-odd"><p><strong>X</strong> (<em>np.ndarray</em><em> [</em><em>n_samples</em><em>, </em><em>n_features</em><em> (</em><em>config + instance features</em><em>)</em><em>]</em>) – Training samples.</p>
 </dd>
 <dt class="field-even">Return type<span class="colon">:</span></dt>
-<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Tuple</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">ndarray</span></code>, <code class="xref py py-data docutils literal notranslate"><span class="pre">Optional</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">ndarray</span></code>]]</p>
+<dd class="field-even"><p><span class="sphinx_autodoc_typehints-type"><code class="xref py py-data docutils literal notranslate"><span class="pre">Tuple</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">ndarray</span></code>, <code class="xref py py-data docutils literal notranslate"><span class="pre">Optional</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">ndarray</span></code>]]</span></p>
 </dd>
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
 <dd class="field-odd"><p><ul class="simple">
@@ -797,7 +797,7 @@
 <dd class="field-odd"><p><strong>X</strong> (<em>np.ndarray</em>) – [n_samples, n_features (config)]</p>
 </dd>
 <dt class="field-even">Return type<span class="colon">:</span></dt>
-<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Tuple</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">ndarray</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">ndarray</span></code>]</p>
+<dd class="field-even"><p><span class="sphinx_autodoc_typehints-type"><code class="xref py py-data docutils literal notranslate"><span class="pre">Tuple</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">ndarray</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">ndarray</span></code>]</span></p>
 </dd>
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
 <dd class="field-odd"><p><ul class="simple">
@@ -823,7 +823,7 @@
 </ul>
 </dd>
 <dt class="field-even">Return type<span class="colon">:</span></dt>
-<dd class="field-even"><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code></p>
+<dd class="field-even"><p><span class="sphinx_autodoc_typehints-type"><code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code></span></p>
 </dd>
 </dl>
 </dd></dl>

development/api/deepcave.evaluators.epm.random_forest_surrogate.html

@@ -739,10 +739,10 @@
 <dd><p>Calculate mean and sigma of predictions</p>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters<span class="colon">:</span></dt>
-<dd class="field-odd"><p><strong>X</strong> (<code class="xref py py-class docutils literal notranslate"><span class="pre">ndarray</span></code>) – input data shaped [NxK] for N samples and K parameters</p>
+<dd class="field-odd"><p><strong>X</strong> (<span class="sphinx_autodoc_typehints-type"><code class="xref py py-class docutils literal notranslate"><span class="pre">ndarray</span></code></span>) – input data shaped [NxK] for N samples and K parameters</p>
 </dd>
 <dt class="field-even">Return type<span class="colon">:</span></dt>
-<dd class="field-even"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Tuple</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">ndarray</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">ndarray</span></code>]</p>
+<dd class="field-even"><p><span class="sphinx_autodoc_typehints-type"><code class="xref py py-data docutils literal notranslate"><span class="pre">Tuple</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">ndarray</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">ndarray</span></code>]</span></p>
 </dd>
 <dt class="field-odd">Returns<span class="colon">:</span></dt>
 <dd class="field-odd"><p>means, stds</p>

development/api/deepcave.evaluators.epm.utils.html

@@ -724,7 +724,7 @@
 hyperparameters and instance features.</p>
 <dl class="field-list simple">
 <dt class="field-odd">Return type<span class="colon">:</span></dt>
-<dd class="field-odd"><p><code class="xref py py-data docutils literal notranslate"><span class="pre">Tuple</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">List</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>], <code class="xref py py-class docutils literal notranslate"><span class="pre">List</span></code>[<code class="xref py py-data docutils literal notranslate"><span class="pre">Tuple</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]]]</p>
+<dd class="field-odd"><p><span class="sphinx_autodoc_typehints-type"><code class="xref py py-data docutils literal notranslate"><span class="pre">Tuple</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">List</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">int</span></code>], <code class="xref py py-class docutils literal notranslate"><span class="pre">List</span></code>[<code class="xref py py-data docutils literal notranslate"><span class="pre">Tuple</span></code>[<code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>, <code class="xref py py-class docutils literal notranslate"><span class="pre">float</span></code>]]]</span></p>
 </dd>
 </dl>
 </dd></dl>

development/api/deepcave.evaluators.fanova.html

@@ -761,7 +761,7 @@
 </ul>
 </dd>
 <dt class="field-even">Return type<span class="colon">:</span></dt>
-<dd class="field-even"><p><code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code></p>
+<dd class="field-even"><p><span class="sphinx_autodoc_typehints-type"><code class="xref py py-obj docutils literal notranslate"><span class="pre">None</span></code></span></p>
 </dd>
 </dl>
 </dd></dl>