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<section class="tex2jax_ignore mathjax_ignore" id="composite-spaces">
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<h1>Composite Spaces<a class="headerlink" href="#composite-spaces" title="Link to this heading">¶</a></h1>
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<dl class="py class">
|
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<dt class="sig sig-object py" id="gymnasium.spaces.Dict">
|
||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">gymnasium.spaces.</span></span><span class="sig-name descname"><span class="pre">Dict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spaces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">None</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="../#gymnasium.spaces.Space" title="gymnasium.spaces.space.Space"><span class="pre">Space</span></a><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Sequence</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="../#gymnasium.spaces.Space" title="gymnasium.spaces.space.Space"><span class="pre">Space</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Generator</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">spaces_kwargs</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../#gymnasium.spaces.Space" title="gymnasium.spaces.space.Space"><span class="pre">Space</span></a></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../_modules/gymnasium/spaces/dict/#Dict"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#gymnasium.spaces.Dict" title="Link to this definition">¶</a></dt>
|
||
<dd><p>A dictionary of <a class="reference internal" href="../#gymnasium.spaces.Space" title="gymnasium.spaces.Space"><code class="xref py py-class docutils literal notranslate"><span class="pre">Space</span></code></a> instances.</p>
|
||
<p>Elements of this space are (ordered) dictionaries of elements from the constituent spaces.</p>
|
||
<p class="rubric">Example</p>
|
||
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">from</span><span class="w"> </span><span class="nn">gymnasium.spaces</span><span class="w"> </span><span class="kn">import</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">Box</span><span class="p">,</span> <span class="n">Discrete</span>
|
||
<span class="gp">>>> </span><span class="n">observation_space</span> <span class="o">=</span> <span class="n">Dict</span><span class="p">({</span><span class="s2">"position"</span><span class="p">:</span> <span class="n">Box</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</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="s2">"color"</span><span class="p">:</span> <span class="n">Discrete</span><span class="p">(</span><span class="mi">3</span><span class="p">)},</span> <span class="n">seed</span><span class="o">=</span><span class="mi">42</span><span class="p">)</span>
|
||
<span class="gp">>>> </span><span class="n">observation_space</span><span class="o">.</span><span class="n">sample</span><span class="p">()</span>
|
||
<span class="go">{'color': np.int64(0), 'position': array([-0.3991573 , 0.21649833], dtype=float32)}</span>
|
||
</pre></div>
|
||
</div>
|
||
<p>With a nested dict:</p>
|
||
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">from</span><span class="w"> </span><span class="nn">gymnasium.spaces</span><span class="w"> </span><span class="kn">import</span> <span class="n">Box</span><span class="p">,</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">Discrete</span><span class="p">,</span> <span class="n">MultiBinary</span><span class="p">,</span> <span class="n">MultiDiscrete</span>
|
||
<span class="gp">>>> </span><span class="n">Dict</span><span class="p">(</span>
|
||
<span class="gp">... </span> <span class="p">{</span>
|
||
<span class="gp">... </span> <span class="s2">"ext_controller"</span><span class="p">:</span> <span class="n">MultiDiscrete</span><span class="p">([</span><span class="mi">5</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="gp">... </span> <span class="s2">"inner_state"</span><span class="p">:</span> <span class="n">Dict</span><span class="p">(</span>
|
||
<span class="gp">... </span> <span class="p">{</span>
|
||
<span class="gp">... </span> <span class="s2">"charge"</span><span class="p">:</span> <span class="n">Discrete</span><span class="p">(</span><span class="mi">100</span><span class="p">),</span>
|
||
<span class="gp">... </span> <span class="s2">"system_checks"</span><span class="p">:</span> <span class="n">MultiBinary</span><span class="p">(</span><span class="mi">10</span><span class="p">),</span>
|
||
<span class="gp">... </span> <span class="s2">"job_status"</span><span class="p">:</span> <span class="n">Dict</span><span class="p">(</span>
|
||
<span class="gp">... </span> <span class="p">{</span>
|
||
<span class="gp">... </span> <span class="s2">"task"</span><span class="p">:</span> <span class="n">Discrete</span><span class="p">(</span><span class="mi">5</span><span class="p">),</span>
|
||
<span class="gp">... </span> <span class="s2">"progress"</span><span class="p">:</span> <span class="n">Box</span><span class="p">(</span><span class="n">low</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">high</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span> <span class="n">shape</span><span class="o">=</span><span class="p">()),</span>
|
||
<span class="gp">... </span> <span class="p">}</span>
|
||
<span class="gp">... </span> <span class="p">),</span>
|
||
<span class="gp">... </span> <span class="p">}</span>
|
||
<span class="gp">... </span> <span class="p">),</span>
|
||
<span class="gp">... </span> <span class="p">}</span>
|
||
<span class="gp">... </span><span class="p">)</span>
|
||
</pre></div>
|
||
</div>
|
||
<p>It can be convenient to use <a class="reference internal" href="#gymnasium.spaces.Dict" title="gymnasium.spaces.Dict"><code class="xref py py-class docutils literal notranslate"><span class="pre">Dict</span></code></a> spaces if you want to make complex observations or actions more human-readable.
|
||
Usually, it will not be possible to use elements of this space directly in learning code. However, you can easily
|
||
convert <a class="reference internal" href="#gymnasium.spaces.Dict" title="gymnasium.spaces.Dict"><code class="xref py py-class docutils literal notranslate"><span class="pre">Dict</span></code></a> observations to flat arrays by using a <a class="reference internal" href="../../wrappers/observation_wrappers/#gymnasium.wrappers.FlattenObservation" title="gymnasium.wrappers.FlattenObservation"><code class="xref py py-class docutils literal notranslate"><span class="pre">gymnasium.wrappers.FlattenObservation</span></code></a> wrapper.
|
||
Similar wrappers can be implemented to deal with <a class="reference internal" href="#gymnasium.spaces.Dict" title="gymnasium.spaces.Dict"><code class="xref py py-class docutils literal notranslate"><span class="pre">Dict</span></code></a> actions.</p>
|
||
<dl class="field-list simple">
|
||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||
<dd class="field-odd"><ul class="simple">
|
||
<li><p><strong>spaces</strong> – A dictionary of spaces. This specifies the structure of the <a class="reference internal" href="#gymnasium.spaces.Dict" title="gymnasium.spaces.Dict"><code class="xref py py-class docutils literal notranslate"><span class="pre">Dict</span></code></a> space</p></li>
|
||
<li><p><strong>seed</strong> – Optionally, you can use this argument to seed the RNGs of the spaces that make up the <a class="reference internal" href="#gymnasium.spaces.Dict" title="gymnasium.spaces.Dict"><code class="xref py py-class docutils literal notranslate"><span class="pre">Dict</span></code></a> space.</p></li>
|
||
<li><p><strong>**spaces_kwargs</strong> – If <code class="docutils literal notranslate"><span class="pre">spaces</span></code> is <code class="docutils literal notranslate"><span class="pre">None</span></code>, you need to pass the constituent spaces as keyword arguments, as described above.</p></li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="gymnasium.spaces.Dict.sample">
|
||
<span class="sig-name descname"><span class="pre">sample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">probability</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../../../_modules/gymnasium/spaces/dict/#Dict.sample"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#gymnasium.spaces.Dict.sample" title="Link to this definition">¶</a></dt>
|
||
<dd><p>Generates a single random sample from this space.</p>
|
||
<p>The sample is an ordered dictionary of independent samples from the constituent spaces.</p>
|
||
<dl class="field-list simple">
|
||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||
<dd class="field-odd"><ul class="simple">
|
||
<li><p><strong>mask</strong> – An optional mask for each of the subspaces, expects the same keys as the space</p></li>
|
||
<li><p><strong>probability</strong> – An optional probability mask for each of the subspaces, expects the same keys as the space</p></li>
|
||
</ul>
|
||
</dd>
|
||
<dt class="field-even">Returns<span class="colon">:</span></dt>
|
||
<dd class="field-even"><p><strong>A dictionary with the same key and sampled values from :attr:`self.spaces`</strong></p>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="gymnasium.spaces.Dict.seed">
|
||
<span class="sig-name descname"><span class="pre">seed</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">dict</span><span class="p"><span class="pre">[</span></span><span class="pre">str</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../../../_modules/gymnasium/spaces/dict/#Dict.seed"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#gymnasium.spaces.Dict.seed" title="Link to this definition">¶</a></dt>
|
||
<dd><p>Seed the PRNG of this space and all subspaces.</p>
|
||
<p>Depending on the type of seed, the subspaces will be seeded differently</p>
|
||
<ul class="simple">
|
||
<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code> - All the subspaces will use a random initial seed</p></li>
|
||
<li><p><code class="docutils literal notranslate"><span class="pre">Int</span></code> - The integer is used to seed the <a class="reference internal" href="#gymnasium.spaces.Dict" title="gymnasium.spaces.Dict"><code class="xref py py-class docutils literal notranslate"><span class="pre">Dict</span></code></a> space that is used to generate seed values for each of the subspaces. Warning, this does not guarantee unique seeds for all subspaces, though is very unlikely.</p></li>
|
||
<li><p><code class="docutils literal notranslate"><span class="pre">Dict</span></code> - A dictionary of seeds for each subspace, requires a seed key for every subspace. This supports seeding of multiple composite subspaces (<code class="docutils literal notranslate"><span class="pre">Dict["space":</span> <span class="pre">Dict[...],</span> <span class="pre">...]</span></code> with <code class="docutils literal notranslate"><span class="pre">{"space":</span> <span class="pre">{...},</span> <span class="pre">...}</span></code>).</p></li>
|
||
</ul>
|
||
<dl class="field-list simple">
|
||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||
<dd class="field-odd"><p><strong>seed</strong> – An optional int or dictionary of subspace keys to int to seed each PRNG. See above for more details.</p>
|
||
</dd>
|
||
<dt class="field-even">Returns<span class="colon">:</span></dt>
|
||
<dd class="field-even"><p><strong>A dictionary for the seed values of the subspaces</strong></p>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="gymnasium.spaces.Tuple">
|
||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">gymnasium.spaces.</span></span><span class="sig-name descname"><span class="pre">Tuple</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spaces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="../#gymnasium.spaces.Space" title="gymnasium.spaces.space.Space"><span class="pre">Space</span></a><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Sequence</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Generator</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../_modules/gymnasium/spaces/tuple/#Tuple"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#gymnasium.spaces.Tuple" title="Link to this definition">¶</a></dt>
|
||
<dd><p>A tuple (more precisely: the cartesian product) of <a class="reference internal" href="../#gymnasium.spaces.Space" title="gymnasium.spaces.Space"><code class="xref py py-class docutils literal notranslate"><span class="pre">Space</span></code></a> instances.</p>
|
||
<p>Elements of this space are tuples of elements of the constituent spaces.</p>
|
||
<p class="rubric">Example</p>
|
||
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">from</span><span class="w"> </span><span class="nn">gymnasium.spaces</span><span class="w"> </span><span class="kn">import</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Box</span><span class="p">,</span> <span class="n">Discrete</span>
|
||
<span class="gp">>>> </span><span class="n">observation_space</span> <span class="o">=</span> <span class="n">Tuple</span><span class="p">((</span><span class="n">Discrete</span><span class="p">(</span><span class="mi">2</span><span class="p">),</span> <span class="n">Box</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</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="n">seed</span><span class="o">=</span><span class="mi">42</span><span class="p">)</span>
|
||
<span class="gp">>>> </span><span class="n">observation_space</span><span class="o">.</span><span class="n">sample</span><span class="p">()</span>
|
||
<span class="go">(np.int64(0), array([-0.3991573 , 0.21649833], dtype=float32))</span>
|
||
</pre></div>
|
||
</div>
|
||
<dl class="field-list simple">
|
||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||
<dd class="field-odd"><ul class="simple">
|
||
<li><p><strong>spaces</strong> (<em>Iterable</em><em>[</em><a class="reference internal" href="../#gymnasium.spaces.Space" title="gymnasium.spaces.Space"><em>Space</em></a><em>]</em>) – The spaces that are involved in the cartesian product.</p></li>
|
||
<li><p><strong>seed</strong> – Optionally, you can use this argument to seed the RNGs of the <code class="docutils literal notranslate"><span class="pre">spaces</span></code> to ensure reproducible sampling.</p></li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="gymnasium.spaces.Tuple.sample">
|
||
<span class="sig-name descname"><span class="pre">sample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">probability</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../../../_modules/gymnasium/spaces/tuple/#Tuple.sample"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#gymnasium.spaces.Tuple.sample" title="Link to this definition">¶</a></dt>
|
||
<dd><p>Generates a single random sample inside this space.</p>
|
||
<p>This method draws independent samples from the subspaces.</p>
|
||
<dl class="field-list simple">
|
||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||
<dd class="field-odd"><ul class="simple">
|
||
<li><p><strong>mask</strong> – An optional tuple of optional masks for each of the subspace’s samples,
|
||
expects the same number of masks as spaces</p></li>
|
||
<li><p><strong>probability</strong> – An optional tuple of optional probability masks for each of the subspace’s samples,
|
||
expects the same number of probability masks as spaces</p></li>
|
||
</ul>
|
||
</dd>
|
||
<dt class="field-even">Returns<span class="colon">:</span></dt>
|
||
<dd class="field-even"><p><strong>Tuple of the subspace’s samples</strong></p>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="gymnasium.spaces.Tuple.seed">
|
||
<span class="sig-name descname"><span class="pre">seed</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Sequence</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../../../_modules/gymnasium/spaces/tuple/#Tuple.seed"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#gymnasium.spaces.Tuple.seed" title="Link to this definition">¶</a></dt>
|
||
<dd><p>Seed the PRNG of this space and all subspaces.</p>
|
||
<p>Depending on the type of seed, the subspaces will be seeded differently</p>
|
||
<ul class="simple">
|
||
<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code> - All the subspaces will use a random initial seed</p></li>
|
||
<li><p><code class="docutils literal notranslate"><span class="pre">Int</span></code> - The integer is used to seed the <a class="reference internal" href="#gymnasium.spaces.Tuple" title="gymnasium.spaces.Tuple"><code class="xref py py-class docutils literal notranslate"><span class="pre">Tuple</span></code></a> space that is used to generate seed values for each of the subspaces. Warning, this does not guarantee unique seeds for all the subspaces.</p></li>
|
||
<li><p><code class="docutils literal notranslate"><span class="pre">List</span></code> / <code class="docutils literal notranslate"><span class="pre">Tuple</span></code> - Values used to seed the subspaces. This allows the seeding of multiple composite subspaces <code class="docutils literal notranslate"><span class="pre">[42,</span> <span class="pre">54,</span> <span class="pre">...]</span></code>.</p></li>
|
||
</ul>
|
||
<dl class="field-list simple">
|
||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||
<dd class="field-odd"><p><strong>seed</strong> – An optional list of ints or int to seed the (sub-)spaces.</p>
|
||
</dd>
|
||
<dt class="field-even">Returns<span class="colon">:</span></dt>
|
||
<dd class="field-even"><p><strong>A tuple of the seed values for all subspaces</strong></p>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="gymnasium.spaces.Sequence">
|
||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">gymnasium.spaces.</span></span><span class="sig-name descname"><span class="pre">Sequence</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">space</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../#gymnasium.spaces.Space" title="gymnasium.spaces.space.Space"><span class="pre">Space</span></a><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Generator</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">stack</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../_modules/gymnasium/spaces/sequence/#Sequence"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#gymnasium.spaces.Sequence" title="Link to this definition">¶</a></dt>
|
||
<dd><p>This space represent sets of finite-length sequences.</p>
|
||
<p>This space represents the set of tuples of the form <span class="math notranslate nohighlight">\((a_0, \dots, a_n)\)</span> where the <span class="math notranslate nohighlight">\(a_i\)</span> belong
|
||
to some space that is specified during initialization and the integer <span class="math notranslate nohighlight">\(n\)</span> is not fixed</p>
|
||
<p class="rubric">Example</p>
|
||
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">from</span><span class="w"> </span><span class="nn">gymnasium.spaces</span><span class="w"> </span><span class="kn">import</span> <span class="n">Sequence</span><span class="p">,</span> <span class="n">Box</span>
|
||
<span class="gp">>>> </span><span class="n">observation_space</span> <span class="o">=</span> <span class="n">Sequence</span><span class="p">(</span><span class="n">Box</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="n">seed</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
|
||
<span class="gp">>>> </span><span class="n">observation_space</span><span class="o">.</span><span class="n">sample</span><span class="p">()</span>
|
||
<span class="go">(array([0.6822636], dtype=float32), array([0.18933342], dtype=float32), array([0.19049619], dtype=float32))</span>
|
||
<span class="gp">>>> </span><span class="n">observation_space</span><span class="o">.</span><span class="n">sample</span><span class="p">()</span>
|
||
<span class="go">(array([0.83506], dtype=float32), array([0.9053838], dtype=float32), array([0.5836242], dtype=float32), array([0.63214064], dtype=float32))</span>
|
||
</pre></div>
|
||
</div>
|
||
<dl>
|
||
<dt>Example with stacked observations</dt><dd><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">observation_space</span> <span class="o">=</span> <span class="n">Sequence</span><span class="p">(</span><span class="n">Box</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">),</span> <span class="n">stack</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">seed</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
|
||
<span class="gp">>>> </span><span class="n">observation_space</span><span class="o">.</span><span class="n">sample</span><span class="p">()</span>
|
||
<span class="go">array([[0.6822636 ],</span>
|
||
<span class="go"> [0.18933342],</span>
|
||
<span class="go"> [0.19049619]], dtype=float32)</span>
|
||
</pre></div>
|
||
</div>
|
||
</dd>
|
||
</dl>
|
||
<dl class="field-list simple">
|
||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||
<dd class="field-odd"><ul class="simple">
|
||
<li><p><strong>space</strong> – Elements in the sequences this space represent must belong to this space.</p></li>
|
||
<li><p><strong>seed</strong> – Optionally, you can use this argument to seed the RNG that is used to sample from the space.</p></li>
|
||
<li><p><strong>stack</strong> – If <code class="docutils literal notranslate"><span class="pre">True</span></code> then the resulting samples would be stacked.</p></li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="gymnasium.spaces.Sequence.sample">
|
||
<span class="sig-name descname"><span class="pre">sample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">None</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">None</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">ndarray</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">dtype</span><span class="p"><span class="pre">[</span></span><span class="pre">integer</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">probability</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">None</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">None</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">ndarray</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">dtype</span><span class="p"><span class="pre">[</span></span><span class="pre">integer</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Any</span></span></span><a class="reference internal" href="../../../_modules/gymnasium/spaces/sequence/#Sequence.sample"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#gymnasium.spaces.Sequence.sample" title="Link to this definition">¶</a></dt>
|
||
<dd><p>Generates a single random sample from this space.</p>
|
||
<dl class="field-list simple">
|
||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||
<dd class="field-odd"><ul class="simple">
|
||
<li><p><strong>mask</strong> – <p>An optional mask for (optionally) the length of the sequence and (optionally) the values in the sequence.
|
||
If you specify <code class="docutils literal notranslate"><span class="pre">mask</span></code>, it is expected to be a tuple of the form <code class="docutils literal notranslate"><span class="pre">(length_mask,</span> <span class="pre">sample_mask)</span></code> where <code class="docutils literal notranslate"><span class="pre">length_mask</span></code> is</p>
|
||
<ul>
|
||
<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code> - The length will be randomly drawn from a geometric distribution</p></li>
|
||
<li><p><code class="docutils literal notranslate"><span class="pre">int</span></code> - Fixed length</p></li>
|
||
<li><p><code class="docutils literal notranslate"><span class="pre">np.ndarray</span></code> of integers - Length of the sampled sequence is randomly drawn from this array.</p></li>
|
||
</ul>
|
||
<p>The second element of the tuple <code class="docutils literal notranslate"><span class="pre">sample_mask</span></code> specifies how the feature space will be sampled.
|
||
Depending on if mask or probability is used will affect what argument is used.</p>
|
||
</p></li>
|
||
<li><p><strong>probability</strong> – See mask description above, the only difference is on the <code class="docutils literal notranslate"><span class="pre">sample_mask</span></code> for the feature space being probability rather than mask.</p></li>
|
||
</ul>
|
||
</dd>
|
||
<dt class="field-even">Returns<span class="colon">:</span></dt>
|
||
<dd class="field-even"><p><strong>A tuple of random length with random samples of elements from the :attr:`feature_space`.</strong></p>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="gymnasium.spaces.Sequence.seed">
|
||
<span class="sig-name descname"><span class="pre">seed</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../../../_modules/gymnasium/spaces/sequence/#Sequence.seed"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#gymnasium.spaces.Sequence.seed" title="Link to this definition">¶</a></dt>
|
||
<dd><p>Seed the PRNG of the Sequence space and the feature space.</p>
|
||
<p>Depending on the type of seed, the subspaces will be seeded differently</p>
|
||
<ul class="simple">
|
||
<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code> - All the subspaces will use a random initial seed</p></li>
|
||
<li><p><code class="docutils literal notranslate"><span class="pre">Int</span></code> - The integer is used to seed the <a class="reference internal" href="#gymnasium.spaces.Sequence" title="gymnasium.spaces.Sequence"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sequence</span></code></a> space that is used to generate a seed value for the feature space.</p></li>
|
||
<li><p><code class="docutils literal notranslate"><span class="pre">Tuple</span> <span class="pre">of</span> <span class="pre">ints</span></code> - A tuple for the <a class="reference internal" href="#gymnasium.spaces.Sequence" title="gymnasium.spaces.Sequence"><code class="xref py py-class docutils literal notranslate"><span class="pre">Sequence</span></code></a> and feature space.</p></li>
|
||
</ul>
|
||
<dl class="field-list simple">
|
||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||
<dd class="field-odd"><p><strong>seed</strong> – An optional int or tuple of ints to seed the PRNG. See above for more details</p>
|
||
</dd>
|
||
<dt class="field-even">Returns<span class="colon">:</span></dt>
|
||
<dd class="field-even"><p><strong>A tuple of the seeding values for the Sequence and feature space</strong></p>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="gymnasium.spaces.Graph">
|
||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">gymnasium.spaces.</span></span><span class="sig-name descname"><span class="pre">Graph</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">node_space</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference internal" href="../fundamental/#gymnasium.spaces.Box" title="gymnasium.spaces.box.Box"><span class="pre">Box</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference internal" href="../fundamental/#gymnasium.spaces.Discrete" title="gymnasium.spaces.discrete.Discrete"><span class="pre">Discrete</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">edge_space</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">None</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference internal" href="../fundamental/#gymnasium.spaces.Box" title="gymnasium.spaces.box.Box"><span class="pre">Box</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference internal" href="../fundamental/#gymnasium.spaces.Discrete" title="gymnasium.spaces.discrete.Discrete"><span class="pre">Discrete</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Generator</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../_modules/gymnasium/spaces/graph/#Graph"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#gymnasium.spaces.Graph" title="Link to this definition">¶</a></dt>
|
||
<dd><p>A space representing graph information as a series of <code class="docutils literal notranslate"><span class="pre">nodes</span></code> connected with <code class="docutils literal notranslate"><span class="pre">edges</span></code> according to an adjacency matrix represented as a series of <code class="docutils literal notranslate"><span class="pre">edge_links</span></code>.</p>
|
||
<p class="rubric">Example</p>
|
||
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">from</span><span class="w"> </span><span class="nn">gymnasium.spaces</span><span class="w"> </span><span class="kn">import</span> <span class="n">Graph</span><span class="p">,</span> <span class="n">Box</span><span class="p">,</span> <span class="n">Discrete</span>
|
||
<span class="gp">>>> </span><span class="n">observation_space</span> <span class="o">=</span> <span class="n">Graph</span><span class="p">(</span><span class="n">node_space</span><span class="o">=</span><span class="n">Box</span><span class="p">(</span><span class="n">low</span><span class="o">=-</span><span class="mi">100</span><span class="p">,</span> <span class="n">high</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span> <span class="n">shape</span><span class="o">=</span><span class="p">(</span><span class="mi">3</span><span class="p">,)),</span> <span class="n">edge_space</span><span class="o">=</span><span class="n">Discrete</span><span class="p">(</span><span class="mi">3</span><span class="p">),</span> <span class="n">seed</span><span class="o">=</span><span class="mi">123</span><span class="p">)</span>
|
||
<span class="gp">>>> </span><span class="n">observation_space</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="n">num_nodes</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span> <span class="n">num_edges</span><span class="o">=</span><span class="mi">8</span><span class="p">)</span>
|
||
<span class="go">GraphInstance(nodes=array([[ 36.47037 , -89.235794, -55.928024],</span>
|
||
<span class="go"> [-63.125637, -64.81882 , 62.4189 ],</span>
|
||
<span class="go"> [ 84.669 , -44.68512 , 63.950912],</span>
|
||
<span class="go"> [ 77.97854 , 2.594091, -51.00708 ]], dtype=float32), edges=array([2, 0, 2, 1, 2, 0, 2, 1]), edge_links=array([[3, 0],</span>
|
||
<span class="go"> [0, 0],</span>
|
||
<span class="go"> [0, 1],</span>
|
||
<span class="go"> [0, 2],</span>
|
||
<span class="go"> [1, 0],</span>
|
||
<span class="go"> [1, 0],</span>
|
||
<span class="go"> [0, 1],</span>
|
||
<span class="go"> [0, 2]], dtype=int32))</span>
|
||
</pre></div>
|
||
</div>
|
||
<dl class="field-list simple">
|
||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||
<dd class="field-odd"><ul class="simple">
|
||
<li><p><strong>node_space</strong> (<em>Union</em><em>[</em><a class="reference internal" href="../fundamental/#gymnasium.spaces.Box" title="gymnasium.spaces.Box"><em>Box</em></a><em>, </em><a class="reference internal" href="../fundamental/#gymnasium.spaces.Discrete" title="gymnasium.spaces.Discrete"><em>Discrete</em></a><em>]</em>) – space of the node features.</p></li>
|
||
<li><p><strong>edge_space</strong> (<em>Union</em><em>[</em><em>None</em><em>, </em><a class="reference internal" href="../fundamental/#gymnasium.spaces.Box" title="gymnasium.spaces.Box"><em>Box</em></a><em>, </em><a class="reference internal" href="../fundamental/#gymnasium.spaces.Discrete" title="gymnasium.spaces.Discrete"><em>Discrete</em></a><em>]</em>) – space of the edge features.</p></li>
|
||
<li><p><strong>seed</strong> – Optionally, you can use this argument to seed the RNG that is used to sample from the space.</p></li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="gymnasium.spaces.Graph.sample">
|
||
<span class="sig-name descname"><span class="pre">sample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">None</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">ndarray</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">dtype</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">ndarray</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">dtype</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">probability</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">None</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">ndarray</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">dtype</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">ndarray</span><span class="p"><span class="pre">[</span></span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">dtype</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span><span class="p"><span class="pre">]</span></span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_nodes</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_edges</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">GraphInstance</span></span></span><a class="reference internal" href="../../../_modules/gymnasium/spaces/graph/#Graph.sample"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#gymnasium.spaces.Graph.sample" title="Link to this definition">¶</a></dt>
|
||
<dd><p>Generates a single sample graph with num_nodes between <code class="docutils literal notranslate"><span class="pre">1</span></code> and <code class="docutils literal notranslate"><span class="pre">10</span></code> sampled from the Graph.</p>
|
||
<dl class="field-list simple">
|
||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||
<dd class="field-odd"><ul class="simple">
|
||
<li><p><strong>mask</strong> – An optional tuple of optional node and edge mask that is only possible with Discrete spaces
|
||
(Box spaces don’t support sample masks).
|
||
If no <code class="docutils literal notranslate"><span class="pre">num_edges</span></code> is provided then the <code class="docutils literal notranslate"><span class="pre">edge_mask</span></code> is multiplied by the number of edges</p></li>
|
||
<li><p><strong>probability</strong> – An optional tuple of optional node and edge probability mask that is only possible with Discrete spaces
|
||
(Box spaces don’t support sample probability masks).
|
||
If no <code class="docutils literal notranslate"><span class="pre">num_edges</span></code> is provided then the <code class="docutils literal notranslate"><span class="pre">edge_mask</span></code> is multiplied by the number of edges</p></li>
|
||
<li><p><strong>num_nodes</strong> – The number of nodes that will be sampled, the default is <cite>10</cite> nodes</p></li>
|
||
<li><p><strong>num_edges</strong> – An optional number of edges, otherwise, a random number between <cite>0</cite> and <span class="math notranslate nohighlight">\(num_nodes^2\)</span></p></li>
|
||
</ul>
|
||
</dd>
|
||
<dt class="field-even">Returns<span class="colon">:</span></dt>
|
||
<dd class="field-even"><p><strong>A :class:`GraphInstance` with attributes `.nodes`, `.edges`, and `.edge_links`.</strong></p>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="gymnasium.spaces.Graph.seed">
|
||
<span class="sig-name descname"><span class="pre">seed</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">int</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../../../_modules/gymnasium/spaces/graph/#Graph.seed"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#gymnasium.spaces.Graph.seed" title="Link to this definition">¶</a></dt>
|
||
<dd><p>Seeds the PRNG of this space and node / edge subspace.</p>
|
||
<p>Depending on the type of seed, the subspaces will be seeded differently</p>
|
||
<ul class="simple">
|
||
<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code> - The root, node and edge spaces PRNG are randomly initialized</p></li>
|
||
<li><p><code class="docutils literal notranslate"><span class="pre">Int</span></code> - The integer is used to seed the <a class="reference internal" href="#gymnasium.spaces.Graph" title="gymnasium.spaces.Graph"><code class="xref py py-class docutils literal notranslate"><span class="pre">Graph</span></code></a> space that is used to generate seed values for the node and edge subspaces.</p></li>
|
||
<li><p><code class="docutils literal notranslate"><span class="pre">Tuple[int,</span> <span class="pre">int]</span></code> - Seeds the <a class="reference internal" href="#gymnasium.spaces.Graph" title="gymnasium.spaces.Graph"><code class="xref py py-class docutils literal notranslate"><span class="pre">Graph</span></code></a> and node subspace with a particular value. Only if edge subspace isn’t specified</p></li>
|
||
<li><p><code class="docutils literal notranslate"><span class="pre">Tuple[int,</span> <span class="pre">int,</span> <span class="pre">int]</span></code> - Seeds the <a class="reference internal" href="#gymnasium.spaces.Graph" title="gymnasium.spaces.Graph"><code class="xref py py-class docutils literal notranslate"><span class="pre">Graph</span></code></a>, node and edge subspaces with a particular value.</p></li>
|
||
</ul>
|
||
<dl class="field-list simple">
|
||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||
<dd class="field-odd"><p><strong>seed</strong> – An optional int or tuple of ints for this space and the node / edge subspaces. See above for more details.</p>
|
||
</dd>
|
||
<dt class="field-even">Returns<span class="colon">:</span></dt>
|
||
<dd class="field-even"><p><strong>A tuple of two or three ints depending on if the edge subspace is specified.</strong></p>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
</dd></dl>
|
||
|
||
<dl class="py class">
|
||
<dt class="sig sig-object py" id="gymnasium.spaces.OneOf">
|
||
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">gymnasium.spaces.</span></span><span class="sig-name descname"><span class="pre">OneOf</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">spaces</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Iterable</span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="../#gymnasium.spaces.Space" title="gymnasium.spaces.space.Space"><span class="pre">Space</span></a><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Sequence</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">Generator</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="../../../_modules/gymnasium/spaces/oneof/#OneOf"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#gymnasium.spaces.OneOf" title="Link to this definition">¶</a></dt>
|
||
<dd><p>An exclusive tuple (more precisely: the direct sum) of <a class="reference internal" href="../#gymnasium.spaces.Space" title="gymnasium.spaces.Space"><code class="xref py py-class docutils literal notranslate"><span class="pre">Space</span></code></a> instances.</p>
|
||
<p>Elements of this space are elements of one of the constituent spaces.</p>
|
||
<p class="rubric">Example</p>
|
||
<div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">from</span><span class="w"> </span><span class="nn">gymnasium.spaces</span><span class="w"> </span><span class="kn">import</span> <span class="n">OneOf</span><span class="p">,</span> <span class="n">Box</span><span class="p">,</span> <span class="n">Discrete</span>
|
||
<span class="gp">>>> </span><span class="n">observation_space</span> <span class="o">=</span> <span class="n">OneOf</span><span class="p">((</span><span class="n">Discrete</span><span class="p">(</span><span class="mi">2</span><span class="p">),</span> <span class="n">Box</span><span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</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="n">seed</span><span class="o">=</span><span class="mi">123</span><span class="p">)</span>
|
||
<span class="gp">>>> </span><span class="n">observation_space</span><span class="o">.</span><span class="n">sample</span><span class="p">()</span> <span class="c1"># the first element is the space index (Discrete in this case) and the second element is the sample from Discrete</span>
|
||
<span class="go">(np.int64(0), np.int64(0))</span>
|
||
<span class="gp">>>> </span><span class="n">observation_space</span><span class="o">.</span><span class="n">sample</span><span class="p">()</span> <span class="c1"># this time the Box space was sampled as index=1</span>
|
||
<span class="go">(np.int64(1), array([-0.00711833, -0.7257502 ], dtype=float32))</span>
|
||
<span class="gp">>>> </span><span class="n">observation_space</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
|
||
<span class="go">Discrete(2)</span>
|
||
<span class="gp">>>> </span><span class="n">observation_space</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
|
||
<span class="go">Box(-1.0, 1.0, (2,), float32)</span>
|
||
<span class="gp">>>> </span><span class="nb">len</span><span class="p">(</span><span class="n">observation_space</span><span class="p">)</span>
|
||
<span class="go">2</span>
|
||
</pre></div>
|
||
</div>
|
||
<dl class="field-list simple">
|
||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||
<dd class="field-odd"><ul class="simple">
|
||
<li><p><strong>spaces</strong> (<em>Iterable</em><em>[</em><a class="reference internal" href="../#gymnasium.spaces.Space" title="gymnasium.spaces.Space"><em>Space</em></a><em>]</em>) – The spaces that are involved in the cartesian product.</p></li>
|
||
<li><p><strong>seed</strong> – Optionally, you can use this argument to seed the RNGs of the <code class="docutils literal notranslate"><span class="pre">spaces</span></code> to ensure reproducible sampling.</p></li>
|
||
</ul>
|
||
</dd>
|
||
</dl>
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="gymnasium.spaces.OneOf.sample">
|
||
<span class="sig-name descname"><span class="pre">sample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">mask</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">probability</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">Any</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="pre">Any</span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../../../_modules/gymnasium/spaces/oneof/#OneOf.sample"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#gymnasium.spaces.OneOf.sample" title="Link to this definition">¶</a></dt>
|
||
<dd><p>Generates a single random sample inside this space.</p>
|
||
<p>This method draws independent samples from the subspaces.</p>
|
||
<dl class="field-list simple">
|
||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||
<dd class="field-odd"><ul class="simple">
|
||
<li><p><strong>mask</strong> – An optional tuple of optional masks for each of the subspace’s samples,
|
||
expects the same number of masks as spaces</p></li>
|
||
<li><p><strong>probability</strong> – An optional tuple of optional probability masks for each of the subspace’s samples,
|
||
expects the same number of probability masks as spaces</p></li>
|
||
</ul>
|
||
</dd>
|
||
<dt class="field-even">Returns<span class="colon">:</span></dt>
|
||
<dd class="field-even"><p><strong>Tuple of the subspace’s samples</strong></p>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
<dl class="py method">
|
||
<dt class="sig sig-object py" id="gymnasium.spaces.OneOf.seed">
|
||
<span class="sig-name descname"><span class="pre">seed</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><span class="pre">tuple</span><span class="p"><span class="pre">[</span></span><span class="pre">int</span><span class="p"><span class="pre">,</span></span><span class="w"> </span><span class="p"><span class="pre">...</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="../../../_modules/gymnasium/spaces/oneof/#OneOf.seed"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#gymnasium.spaces.OneOf.seed" title="Link to this definition">¶</a></dt>
|
||
<dd><p>Seed the PRNG of this space and all subspaces.</p>
|
||
<p>Depending on the type of seed, the subspaces will be seeded differently</p>
|
||
<ul class="simple">
|
||
<li><p><code class="docutils literal notranslate"><span class="pre">None</span></code> - All the subspaces will use a random initial seed</p></li>
|
||
<li><p><code class="docutils literal notranslate"><span class="pre">Int</span></code> - The integer is used to seed the <a class="reference internal" href="#gymnasium.spaces.Tuple" title="gymnasium.spaces.Tuple"><code class="xref py py-class docutils literal notranslate"><span class="pre">Tuple</span></code></a> space that is used to generate seed values for each of the subspaces. Warning, this does not guarantee unique seeds for all the subspaces.</p></li>
|
||
<li><p><code class="docutils literal notranslate"><span class="pre">Tuple[int,</span> <span class="pre">...]</span></code> - Values used to seed the subspaces, first value seeds the OneOf and subsequent seed the subspaces. This allows the seeding of multiple composite subspaces <code class="docutils literal notranslate"><span class="pre">[42,</span> <span class="pre">54,</span> <span class="pre">...]</span></code>.</p></li>
|
||
</ul>
|
||
<dl class="field-list simple">
|
||
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
|
||
<dd class="field-odd"><p><strong>seed</strong> – An optional int or tuple of ints to seed the OneOf space and subspaces. See above for more details.</p>
|
||
</dd>
|
||
<dt class="field-even">Returns<span class="colon">:</span></dt>
|
||
<dd class="field-even"><p><strong>A tuple of ints used to seed the OneOf space and subspaces</strong></p>
|
||
</dd>
|
||
</dl>
|
||
</dd></dl>
|
||
|
||
</dd></dl>
|
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<ul>
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<li><a class="reference internal" href="#">Composite Spaces</a><ul>
|
||
<li><a class="reference internal" href="#gymnasium.spaces.Dict"><code class="docutils literal notranslate"><span class="pre">Dict</span></code></a><ul>
|
||
<li><a class="reference internal" href="#gymnasium.spaces.Dict.sample"><code class="docutils literal notranslate"><span class="pre">Dict.sample()</span></code></a></li>
|
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<li><a class="reference internal" href="#gymnasium.spaces.Dict.seed"><code class="docutils literal notranslate"><span class="pre">Dict.seed()</span></code></a></li>
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<li><a class="reference internal" href="#gymnasium.spaces.Tuple"><code class="docutils literal notranslate"><span class="pre">Tuple</span></code></a><ul>
|
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<li><a class="reference internal" href="#gymnasium.spaces.Tuple.sample"><code class="docutils literal notranslate"><span class="pre">Tuple.sample()</span></code></a></li>
|
||
<li><a class="reference internal" href="#gymnasium.spaces.Tuple.seed"><code class="docutils literal notranslate"><span class="pre">Tuple.seed()</span></code></a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a class="reference internal" href="#gymnasium.spaces.Sequence"><code class="docutils literal notranslate"><span class="pre">Sequence</span></code></a><ul>
|
||
<li><a class="reference internal" href="#gymnasium.spaces.Sequence.sample"><code class="docutils literal notranslate"><span class="pre">Sequence.sample()</span></code></a></li>
|
||
<li><a class="reference internal" href="#gymnasium.spaces.Sequence.seed"><code class="docutils literal notranslate"><span class="pre">Sequence.seed()</span></code></a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a class="reference internal" href="#gymnasium.spaces.Graph"><code class="docutils literal notranslate"><span class="pre">Graph</span></code></a><ul>
|
||
<li><a class="reference internal" href="#gymnasium.spaces.Graph.sample"><code class="docutils literal notranslate"><span class="pre">Graph.sample()</span></code></a></li>
|
||
<li><a class="reference internal" href="#gymnasium.spaces.Graph.seed"><code class="docutils literal notranslate"><span class="pre">Graph.seed()</span></code></a></li>
|
||
</ul>
|
||
</li>
|
||
<li><a class="reference internal" href="#gymnasium.spaces.OneOf"><code class="docutils literal notranslate"><span class="pre">OneOf</span></code></a><ul>
|
||
<li><a class="reference internal" href="#gymnasium.spaces.OneOf.sample"><code class="docutils literal notranslate"><span class="pre">OneOf.sample()</span></code></a></li>
|
||
<li><a class="reference internal" href="#gymnasium.spaces.OneOf.seed"><code class="docutils literal notranslate"><span class="pre">OneOf.seed()</span></code></a></li>
|
||
</ul>
|
||
</li>
|
||
</ul>
|
||
</li>
|
||
</ul>
|
||
|
||
</div>
|
||
</div>
|
||
</div>
|
||
|
||
|
||
</aside>
|
||
</div>
|
||
</div>
|
||
</div>
|
||
<script>
|
||
const toggleMenu = () => {
|
||
const menuBtn = document.querySelector(".farama-header-menu__btn");
|
||
const menuContainer = document.querySelector(".farama-header-menu-container");
|
||
if (document.querySelector(".farama-header-menu").classList.contains("active")) {
|
||
menuBtn.setAttribute("aria-expanded", "false");
|
||
menuContainer.setAttribute("aria-hidden", "true");
|
||
} else {
|
||
menuBtn.setAttribute("aria-expanded", "true");
|
||
menuContainer.setAttribute("aria-hidden", "false");
|
||
}
|
||
document.querySelector(".farama-header-menu").classList.toggle("active");
|
||
}
|
||
|
||
document.querySelector(".farama-header-menu__btn").addEventListener("click", toggleMenu);
|
||
document.getElementById("farama-close-menu").addEventListener("click", toggleMenu);
|
||
</script>
|
||
|
||
|
||
<script async src="https://www.googletagmanager.com/gtag/js?id=G-6H9C8TWXZ8"></script>
|
||
<script>
|
||
const enableGtag = () => {
|
||
window.dataLayer = window.dataLayer || [];
|
||
function gtag(){dataLayer.push(arguments);}
|
||
gtag('js', new Date());
|
||
gtag('config', 'G-6H9C8TWXZ8');
|
||
}
|
||
(() => {
|
||
if (!localStorage.getItem("acceptedCookieAlert")) {
|
||
const boxElem = document.createElement("div");
|
||
boxElem.classList.add("cookie-alert");
|
||
const containerElem = document.createElement("div");
|
||
containerElem.classList.add("cookie-alert__container");
|
||
const textElem = document.createElement("p");
|
||
textElem.innerHTML = `This page uses <a href="https://analytics.google.com/">
|
||
Google Analytics</a> to collect statistics.`;
|
||
containerElem.appendChild(textElem);
|
||
|
||
const declineBtn = Object.assign(document.createElement("button"),
|
||
{
|
||
innerText: "Deny",
|
||
className: "farama-btn cookie-alert__button",
|
||
id: "cookie-alert__decline",
|
||
}
|
||
);
|
||
declineBtn.addEventListener("click", () => {
|
||
localStorage.setItem("acceptedCookieAlert", false);
|
||
boxElem.remove();
|
||
});
|
||
|
||
const acceptBtn = Object.assign(document.createElement("button"),
|
||
{
|
||
innerText: "Allow",
|
||
className: "farama-btn cookie-alert__button",
|
||
id: "cookie-alert__accept",
|
||
}
|
||
);
|
||
acceptBtn.addEventListener("click", () => {
|
||
localStorage.setItem("acceptedCookieAlert", true);
|
||
boxElem.remove();
|
||
enableGtag();
|
||
});
|
||
|
||
containerElem.appendChild(declineBtn);
|
||
containerElem.appendChild(acceptBtn);
|
||
boxElem.appendChild(containerElem);
|
||
document.body.appendChild(boxElem);
|
||
} else if (localStorage.getItem("acceptedCookieAlert") === "true") {
|
||
enableGtag();
|
||
}
|
||
})()
|
||
</script>
|
||
|
||
<script src="../../../_static/documentation_options.js?v=151cd43d"></script>
|
||
<script src="../../../_static/doctools.js?v=9a2dae69"></script>
|
||
<script src="../../../_static/sphinx_highlight.js?v=dc90522c"></script>
|
||
<script src="../../../_static/scripts/furo.js?v=7660844c"></script>
|
||
<script>window.MathJax = {"options": {"processHtmlClass": "tex2jax_process|mathjax_process|math|output_area"}}</script>
|
||
<script defer="defer" src="https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js"></script>
|
||
|
||
<script>
|
||
|
||
const createProjectsList = (projects, displayImages) => {
|
||
const ulElem = Object.assign(document.createElement('ul'),
|
||
{
|
||
className:'farama-header-menu-list',
|
||
}
|
||
)
|
||
for (let project of projects) {
|
||
const liElem = document.createElement("li");
|
||
const aElem = Object.assign(document.createElement("a"),
|
||
{
|
||
href: project.link
|
||
}
|
||
);
|
||
liElem.appendChild(aElem);
|
||
if (displayImages) {
|
||
const imgElem = Object.assign(document.createElement("img"),
|
||
{
|
||
src: project.image ? imagesBasepath + project.image : imagesBasepath + "/farama_black.svg",
|
||
alt: `${project.name} logo`,
|
||
className: "farama-black-logo-invert"
|
||
}
|
||
);
|
||
aElem.appendChild(imgElem);
|
||
}
|
||
aElem.appendChild(document.createTextNode(project.name));
|
||
ulElem.appendChild(liElem);
|
||
}
|
||
return ulElem;
|
||
}
|
||
|
||
// Create menu with Farama projects by using the API at farama.org/api/projects.json
|
||
const createCORSRequest = (method, url) => {
|
||
let xhr = new XMLHttpRequest();
|
||
xhr.responseType = 'json';
|
||
|
||
if ("withCredentials" in xhr) {
|
||
xhr.open(method, url, true);
|
||
} else if (typeof XDomainRequest != "undefined") {
|
||
// IE8 & IE9
|
||
xhr = new XDomainRequest();
|
||
xhr.open(method, url);
|
||
} else {
|
||
// CORS not supported.
|
||
xhr = null;
|
||
}
|
||
return xhr;
|
||
};
|
||
|
||
const url = 'https://farama.org/api/projects.json';
|
||
const imagesBasepath = "https://farama.org/assets/images"
|
||
const method = 'GET';
|
||
let xhr = createCORSRequest(method, url);
|
||
|
||
xhr.onload = () => {
|
||
const jsonResponse = xhr.response;
|
||
const sections = {
|
||
"Core Projects": [],
|
||
"Mature Projects": {
|
||
"Documentation": [],
|
||
"Repositories": [],
|
||
},
|
||
"Incubating Projects": {
|
||
"Documentation": [],
|
||
"Repositories": [],
|
||
},
|
||
"Foundation": [
|
||
{
|
||
name: "About",
|
||
link: "https://farama.org/about"
|
||
},
|
||
{
|
||
name: "Standards",
|
||
link: "https://farama.org/project_standards",
|
||
},
|
||
{
|
||
name: "Donate",
|
||
link: "https://farama.org/donations"
|
||
}
|
||
]
|
||
}
|
||
|
||
// Categorize projects
|
||
Object.keys(jsonResponse).forEach(key => {
|
||
projectJson = jsonResponse[key];
|
||
if (projectJson.website !== null) {
|
||
projectJson.link = projectJson.website;
|
||
} else {
|
||
projectJson.link = projectJson.github;
|
||
}
|
||
if (projectJson.type === "core") {
|
||
sections["Core Projects"].push(projectJson)
|
||
} else if (projectJson.type == "mature") {
|
||
if (projectJson.website !== null) {
|
||
sections["Mature Projects"]["Documentation"].push(projectJson)
|
||
} else {
|
||
sections["Mature Projects"]["Repositories"].push(projectJson)
|
||
}
|
||
} else {
|
||
if (projectJson.website !== null) {
|
||
sections["Incubating Projects"]["Documentation"].push(projectJson)
|
||
} else {
|
||
sections["Incubating Projects"]["Repositories"].push(projectJson)
|
||
}
|
||
}
|
||
})
|
||
|
||
const menuContainer = document.querySelector(".farama-header-menu__body");
|
||
|
||
Object.keys(sections).forEach((key, i) => {
|
||
const sectionElem = Object.assign(
|
||
document.createElement('div'), {
|
||
className:'farama-header-menu__section',
|
||
}
|
||
)
|
||
sectionElem.appendChild(Object.assign(document.createElement('span'),
|
||
{
|
||
className:'farama-header-menu__section-title' ,
|
||
innerText: key
|
||
}
|
||
))
|
||
// is not a list
|
||
if (sections[key].constructor !== Array) {
|
||
const subSections = sections[key];
|
||
const subSectionContainerElem = Object.assign(
|
||
document.createElement('div'), {
|
||
className:'farama-header-menu__subsections-container',
|
||
style: 'display: flex'
|
||
}
|
||
)
|
||
Object.keys(subSections).forEach((subKey, i) => {
|
||
const subSectionElem = Object.assign(
|
||
document.createElement('div'), {
|
||
className:'farama-header-menu__subsection',
|
||
}
|
||
)
|
||
subSectionElem.appendChild(Object.assign(document.createElement('span'),
|
||
{
|
||
className:'farama-header-menu__subsection-title' ,
|
||
innerText: subKey
|
||
}
|
||
))
|
||
const ulElem = createProjectsList(subSections[subKey], key !== 'Foundation');
|
||
subSectionElem.appendChild(ulElem);
|
||
subSectionContainerElem.appendChild(subSectionElem);
|
||
})
|
||
sectionElem.appendChild(subSectionContainerElem);
|
||
} else {
|
||
const projects = sections[key];
|
||
const ulElem = createProjectsList(projects, true);
|
||
sectionElem.appendChild(ulElem);
|
||
}
|
||
menuContainer.appendChild(sectionElem)
|
||
});
|
||
}
|
||
|
||
xhr.onerror = function() {
|
||
console.error("Unable to load projects");
|
||
};
|
||
|
||
xhr.send();
|
||
</script>
|
||
|
||
|
||
<script>
|
||
const versioningConfig = {
|
||
githubUser: 'Farama-Foundation',
|
||
githubRepo: 'Gymnasium',
|
||
};
|
||
fetch('/main/_static/versioning/versioning_menu.html').then(response => {
|
||
if (response.status === 200) {
|
||
response.text().then(text => {
|
||
const container = document.createElement("div");
|
||
container.innerHTML = text;
|
||
document.querySelector("body").appendChild(container);
|
||
// innerHtml doenst evaluate scripts, we need to add them dynamically
|
||
Array.from(container.querySelectorAll("script")).forEach(oldScript => {
|
||
const newScript = document.createElement("script");
|
||
Array.from(oldScript.attributes).forEach(attr => newScript.setAttribute(attr.name, attr.value));
|
||
newScript.appendChild(document.createTextNode(oldScript.innerHTML));
|
||
oldScript.parentNode.replaceChild(newScript, oldScript);
|
||
});
|
||
});
|
||
} else {
|
||
console.warn("Unable to load versioning menu", response);
|
||
}
|
||
});
|
||
</script>
|
||
|
||
</body>
|
||
</html> |