deploy: 893f152

docs/_modules/hydra_zen/structured_configs/_implementations.html

@@ -1431,7 +1431,7 @@ <h1>Source code for hydra_zen.structured_configs._implementations</h1><div class
     <span class="n">hydra_recursive</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">bool</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
     <span class="n">hydra_convert</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Literal</span><span class="p">[</span><span class="s2">&quot;none&quot;</span><span class="p">,</span> <span class="s2">&quot;partial&quot;</span><span class="p">,</span> <span class="s2">&quot;all&quot;</span><span class="p">,</span> <span class="s2">&quot;object&quot;</span><span class="p">]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
     <span class="n">hydra_defaults</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">DefaultsList</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
-    <span class="n">builds_bases</span><span class="p">:</span> <span class="n">Tuple</span><span class="p">[</span><span class="n">Type</span><span class="p">[</span><span class="n">DataClass_</span><span class="p">],</span> <span class="o">...</span><span class="p">]</span> <span class="o">=</span> <span class="p">(),</span>
+    <span class="n">builds_bases</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="n">Tuple</span><span class="p">[</span><span class="n">Type</span><span class="p">[</span><span class="n">DataClass_</span><span class="p">],</span> <span class="o">...</span><span class="p">],</span> <span class="n">Tuple</span><span class="p">[()]]</span> <span class="o">=</span> <span class="p">(),</span>
     <span class="n">zen_dataclass</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">DataclassOptions</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
     <span class="o">**</span><span class="n">kwargs_for_target</span><span class="p">:</span> <span class="n">SupportedPrimitive</span><span class="p">,</span>
 <span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Union</span><span class="p">[</span>

docs/_sources/how_to/pytorch_lightning.rst.txt

@@ -269,12 +269,13 @@ the following code and verify that you see the plot shown below.
 
    >>> from hydra_zen import instantiate
    >>> import matplotlib.pyplot as plt
+   >>> from matplotlib.axes import Axes
    
    >>> x = instantiate(ExperimentConfig.training_domain)
    >>> target_fn = instantiate(ExperimentConfig.target_fn)
    
    >>> fig, ax = plt.subplots()
-   >>> assert isinstance(ax, plt.Axes)
+   >>> assert isinstance(ax, Axes)
    >>> ax.plot(x, target_fn(x), ls="--", label="Target")
 
    >>> for j in jobs:

docs/_sources/how_to/using_scikit_learn.rst.txt

@@ -67,6 +67,9 @@ After building the configs we define the task function that utilizes these datas
    from typing import Callable, Tuple
 
    import matplotlib.pyplot as plt
+   from matplotlib.axes import Axes
+   from matplotlib.figure import Figure
+
    import numpy as np
    from matplotlib.colors import ListedColormap
    from sklearn.base import BaseEstimator
@@ -190,8 +193,8 @@ After building the configs we define the task function that utilizes these datas
    ):
        fig, ax = plt.subplots()
 
-       assert isinstance(ax, plt.Axes)
-       assert isinstance(fig, plt.Figure)
+       assert isinstance(ax, Axes)
+       assert isinstance(fig, Figure)
 
        # create and split dataset for train and test
        X, y = dataset()

docs/how_to/pytorch_lightning.html

@@ -496,12 +496,13 @@ <h3>Visualizing Our Results<a class="headerlink" href="#visualizing-our-results"
 <div class="code-block-caption"><span class="caption-text">Plotting our models</span><a class="headerlink" href="#id7" title="Link to this code">#</a></div>
 <div class="highlight-pycon notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">hydra_zen</span> <span class="kn">import</span> <a class="sphinx-codeautolink-a" href="../generated/hydra_zen.instantiate.html#hydra_zen.instantiate" title="hydra_zen.instantiate"><span class="n">instantiate</span></a>
 <span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">matplotlib.axes</span> <span class="kn">import</span> <span class="n">Axes</span>
 
 <span class="gp">&gt;&gt;&gt; </span><span class="n">x</span> <span class="o">=</span> <a class="sphinx-codeautolink-a" href="../generated/hydra_zen.instantiate.html#hydra_zen.instantiate" title="hydra_zen.instantiate"><span class="n">instantiate</span></a><span class="p">(</span><span class="n">ExperimentConfig</span><span class="o">.</span><span class="n">training_domain</span><span class="p">)</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">target_fn</span> <span class="o">=</span> <a class="sphinx-codeautolink-a" href="../generated/hydra_zen.instantiate.html#hydra_zen.instantiate" title="hydra_zen.instantiate"><span class="n">instantiate</span></a><span class="p">(</span><span class="n">ExperimentConfig</span><span class="o">.</span><span class="n">target_fn</span><span class="p">)</span>
 
 <span class="gp">&gt;&gt;&gt; </span><span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
-<span class="gp">&gt;&gt;&gt; </span><span class="k">assert</span> <a class="sphinx-codeautolink-a" href="https://docs.python.org/3/library/functions.html#isinstance" title="isinstance"><span class="nb">isinstance</span></a><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">plt</span><span class="o">.</span><span class="n">Axes</span><span class="p">)</span>
+<span class="gp">&gt;&gt;&gt; </span><span class="k">assert</span> <a class="sphinx-codeautolink-a" href="https://docs.python.org/3/library/functions.html#isinstance" title="isinstance"><span class="nb">isinstance</span></a><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">Axes</span><span class="p">)</span>
 <span class="gp">&gt;&gt;&gt; </span><span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">target_fn</span><span class="p">(</span><span class="n">x</span><span class="p">),</span> <span class="n">ls</span><span class="o">=</span><span class="s2">"--"</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s2">"Target"</span><span class="p">)</span>
 
 <span class="gp">&gt;&gt;&gt; </span><span class="k">for</span> <span class="n">j</span> <span class="ow">in</span> <span class="n">jobs</span><span class="p">:</span>

docs/how_to/using_scikit_learn.html

@@ -302,6 +302,9 @@ <h2>Configuring and Building an Experiment<a class="headerlink" href="#configuri
 <div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <a class="sphinx-codeautolink-a" href="https://docs.python.org/3/library/typing.html#module-typing" title="typing"><span class="nn">typing</span></a> <span class="kn">import</span> <a class="sphinx-codeautolink-a" href="https://docs.python.org/3/library/typing.html#typing.Callable" title="typing.Callable"><span class="n">Callable</span></a><span class="p">,</span> <a class="sphinx-codeautolink-a" href="https://docs.python.org/3/library/typing.html#typing.Tuple" title="typing.Tuple"><span class="n">Tuple</span></a>
 
 <span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<span class="kn">from</span> <span class="nn">matplotlib.axes</span> <span class="kn">import</span> <span class="n">Axes</span>
+<span class="kn">from</span> <span class="nn">matplotlib.figure</span> <span class="kn">import</span> <span class="n">Figure</span>
+
 <span class="kn">import</span> <a class="sphinx-codeautolink-a" href="https://numpy.org/doc/stable/reference/index.html#module-numpy" title="numpy"><span class="nn">numpy</span></a> <span class="k">as</span> <span class="nn">np</span>
 <span class="kn">from</span> <span class="nn">matplotlib.colors</span> <span class="kn">import</span> <span class="n">ListedColormap</span>
 <span class="kn">from</span> <span class="nn">sklearn.base</span> <span class="kn">import</span> <span class="n">BaseEstimator</span>
@@ -425,8 +428,8 @@ <h2>Configuring and Building an Experiment<a class="headerlink" href="#configuri
 <span class="p">):</span>
     <span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
 
-    <span class="k">assert</span> <a class="sphinx-codeautolink-a" href="https://docs.python.org/3/library/functions.html#isinstance" title="isinstance"><span class="nb">isinstance</span></a><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">plt</span><span class="o">.</span><span class="n">Axes</span><span class="p">)</span>
-    <span class="k">assert</span> <a class="sphinx-codeautolink-a" href="https://docs.python.org/3/library/functions.html#isinstance" title="isinstance"><span class="nb">isinstance</span></a><span class="p">(</span><span class="n">fig</span><span class="p">,</span> <span class="n">plt</span><span class="o">.</span><span class="n">Figure</span><span class="p">)</span>
+    <span class="k">assert</span> <a class="sphinx-codeautolink-a" href="https://docs.python.org/3/library/functions.html#isinstance" title="isinstance"><span class="nb">isinstance</span></a><span class="p">(</span><span class="n">ax</span><span class="p">,</span> <span class="n">Axes</span><span class="p">)</span>
+    <span class="k">assert</span> <a class="sphinx-codeautolink-a" href="https://docs.python.org/3/library/functions.html#isinstance" title="isinstance"><span class="nb">isinstance</span></a><span class="p">(</span><span class="n">fig</span><span class="p">,</span> <span class="n">Figure</span><span class="p">)</span>
 
     <span class="c1"># create and split dataset for train and test</span>
     <span class="n">X</span><span class="p">,</span> <span class="n">y</span> <span class="o">=</span> <span class="n">dataset</span><span class="p">()</span>