Update dev doc after building 15317

Author: SymPy (Travis CI)

dev/_modules/sympy/combinatorics/perm_groups.html

@@ -2638,11 +2638,7 @@ <h1>Source code for sympy.combinatorics.perm_groups</h1><div class="highlight"><
                 <span class="k">continue</span>
             <span class="n">i</span> <span class="o">-=</span> <span class="mi">1</span>
         <span class="c"># build the strong generating set</span>
-        <span class="n">strong_gens</span> <span class="o">=</span> <span class="p">[]</span>
-        <span class="k">for</span> <span class="n">gens</span> <span class="ow">in</span> <span class="n">strong_gens_distr</span><span class="p">:</span>
-            <span class="k">for</span> <span class="n">gen</span> <span class="ow">in</span> <span class="n">gens</span><span class="p">:</span>
-                <span class="k">if</span> <span class="n">gen</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">strong_gens</span><span class="p">:</span>
-                    <span class="n">strong_gens</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">gen</span><span class="p">)</span>
+        <span class="n">strong_gens</span> <span class="o">=</span> <span class="nb">list</span><span class="p">(</span><span class="n">uniq</span><span class="p">(</span><span class="n">i</span> <span class="k">for</span> <span class="n">gens</span> <span class="ow">in</span> <span class="n">strong_gens_distr</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">gens</span><span class="p">))</span>
         <span class="k">return</span> <span class="n">_base</span><span class="p">,</span> <span class="n">strong_gens</span>
 </div>
 <div class="viewcode-block" id="PermutationGroup.schreier_sims_random"><a class="viewcode-back" href="../../../modules/combinatorics/perm_groups.html#sympy.combinatorics.perm_groups.PermutationGroup.schreier_sims_random">[docs]</a>    <span class="k">def</span> <span class="nf">schreier_sims_random</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">base</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">gens</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">consec_succ</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span>

dev/_modules/sympy/ntheory/residue_ntheory.html

@@ -641,7 +641,7 @@ <h1>Source code for sympy.ntheory.residue_ntheory</h1><div class="highlight"><pr
 <span class="sd">    prime, an iterative method is used to make the determination:</span>
 
 <span class="sd">    &gt;&gt;&gt; from sympy.ntheory import is_quad_residue</span>
-<span class="sd">    &gt;&gt;&gt; list(set([i**2 % 7 for i in range(7)]))</span>
+<span class="sd">    &gt;&gt;&gt; sorted(set([i**2 % 7 for i in range(7)]))</span>
 <span class="sd">    [0, 1, 2, 4]</span>
 <span class="sd">    &gt;&gt;&gt; [j for j in range(7) if is_quad_residue(j, 7)]</span>
 <span class="sd">    [0, 1, 2, 4]</span>
@@ -847,7 +847,7 @@ <h1>Source code for sympy.ntheory.residue_ntheory</h1><div class="highlight"><pr
 <span class="sd">    &gt;&gt;&gt; from sympy.ntheory import legendre_symbol</span>
 <span class="sd">    &gt;&gt;&gt; [legendre_symbol(i, 7) for i in range(7)]</span>
 <span class="sd">    [0, 1, 1, -1, 1, -1, -1]</span>
-<span class="sd">    &gt;&gt;&gt; list(set([i**2 % 7 for i in range(7)]))</span>
+<span class="sd">    &gt;&gt;&gt; sorted(set([i**2 % 7 for i in range(7)]))</span>
 <span class="sd">    [0, 1, 2, 4]</span>
 
 <span class="sd">    See Also</span>

dev/_modules/sympy/utilities/iterables.html

@@ -1395,7 +1395,7 @@ <h1>Source code for sympy.utilities.iterables</h1><div class="highlight"><pre>
 <span class="sd">    The numbers appearing in the partition (the key of the returned dict)</span>
 <span class="sd">    are limited with k:</span>
 
-<span class="sd">    &gt;&gt;&gt; for p in partitions(6, k=2):</span>
+<span class="sd">    &gt;&gt;&gt; for p in partitions(6, k=2):  # doctest: +SKIP</span>
 <span class="sd">    ...     print(p)</span>
 <span class="sd">    {2: 3}</span>
 <span class="sd">    {1: 2, 2: 2}</span>
@@ -1405,7 +1405,7 @@ <h1>Source code for sympy.utilities.iterables</h1><div class="highlight"><pre>
 <span class="sd">    The maximum number of parts in the partion (the sum of the values in</span>
 <span class="sd">    the returned dict) are limited with m:</span>
 
-<span class="sd">    &gt;&gt;&gt; for p in partitions(6, m=2):</span>
+<span class="sd">    &gt;&gt;&gt; for p in partitions(6, m=2):  # doctest: +SKIP</span>
 <span class="sd">    ...     print(p)</span>
 <span class="sd">    ...</span>
 <span class="sd">    {6: 1}</span>
@@ -1423,9 +1423,9 @@ <h1>Source code for sympy.utilities.iterables</h1><div class="highlight"><pre>
 <span class="sd">    If you want to build a list of the returned dictionaries then</span>
 <span class="sd">    make a copy of them:</span>
 
-<span class="sd">    &gt;&gt;&gt; [p.copy() for p in partitions(6, k=2)]</span>
+<span class="sd">    &gt;&gt;&gt; [p.copy() for p in partitions(6, k=2)]  # doctest: +SKIP</span>
 <span class="sd">    [{2: 3}, {1: 2, 2: 2}, {1: 4, 2: 1}, {1: 6}]</span>
-<span class="sd">    &gt;&gt;&gt; [(M, p.copy()) for M, p in partitions(6, k=2, size=True)]</span>
+<span class="sd">    &gt;&gt;&gt; [(M, p.copy()) for M, p in partitions(6, k=2, size=True)]  # doctest: +SKIP</span>
 <span class="sd">    [(3, {2: 3}), (4, {1: 2, 2: 2}), (5, {1: 4, 2: 1}), (6, {1: 6})]</span>
 
 <span class="sd">    Reference:</span>

dev/modules/core.html

@@ -6936,7 +6936,7 @@ <h3>Dict<a class="headerlink" href="#dict" title="Permalink to this headline">¶
 <h3>iterable<a class="headerlink" href="#iterable" title="Permalink to this headline">¶</a></h3>
 <dl class="function">
 <dt id="sympy.core.compatibility.iterable">
-<tt class="descclassname">sympy.core.compatibility.</tt><tt class="descname">iterable</tt><big>(</big><em>i</em>, <em>exclude=((&lt;type 'str'&gt;</em>, <em>&lt;type 'unicode'&gt;)</em>, <em>&lt;type 'dict'&gt;</em>, <em>&lt;class sympy.core.compatibility.NotIterable at 0x263acb0&gt;)</em><big>)</big><a class="reference internal" href="../_modules/sympy/core/compatibility.html#iterable"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#sympy.core.compatibility.iterable" title="Permalink to this definition">¶</a></dt>
+<tt class="descclassname">sympy.core.compatibility.</tt><tt class="descname">iterable</tt><big>(</big><em>i</em>, <em>exclude=((&lt;type 'str'&gt;</em>, <em>&lt;type 'unicode'&gt;)</em>, <em>&lt;type 'dict'&gt;</em>, <em>&lt;class sympy.core.compatibility.NotIterable at 0x2b8fcb0&gt;)</em><big>)</big><a class="reference internal" href="../_modules/sympy/core/compatibility.html#iterable"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#sympy.core.compatibility.iterable" title="Permalink to this definition">¶</a></dt>
 <dd><p>Return a boolean indicating whether <tt class="docutils literal"><span class="pre">i</span></tt> is SymPy iterable.
 True also indicates that the iterator is finite, i.e. you e.g.
 call list(...) on the instance.</p>

dev/modules/matrices/dense.html

@@ -305,7 +305,7 @@ <h2>Matrix Class Reference<a class="headerlink" href="#matrix-class-reference" t
 
 <dl class="method">
 <dt id="sympy.matrices.dense.MutableDenseMatrix.simplify">
-<tt class="descname">simplify</tt><big>(</big><em>ratio=1.7</em>, <em>measure=&lt;function count_ops at 0x2d08d70&gt;</em><big>)</big><a class="reference internal" href="../../_modules/sympy/matrices/dense.html#MutableDenseMatrix.simplify"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#sympy.matrices.dense.MutableDenseMatrix.simplify" title="Permalink to this definition">¶</a></dt>
+<tt class="descname">simplify</tt><big>(</big><em>ratio=1.7</em>, <em>measure=&lt;function count_ops at 0x325dd70&gt;</em><big>)</big><a class="reference internal" href="../../_modules/sympy/matrices/dense.html#MutableDenseMatrix.simplify"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#sympy.matrices.dense.MutableDenseMatrix.simplify" title="Permalink to this definition">¶</a></dt>
 <dd><p>Applies simplify to the elements of a matrix in place.</p>
 <p>This is a shortcut for M.applyfunc(lambda x: simplify(x, ratio, measure))</p>
 <div class="admonition-see-also admonition seealso">