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<a href="Allocate_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno"> 1</span> </div>
<div class="line"><a id="l00009" name="l00009"></a><span class="lineno"> 9</span><span class="preprocessor">#ifndef GOOSEFEM_ALLOCATE_H</span></div>
<div class="line"><a id="l00010" name="l00010"></a><span class="lineno"> 10</span><span class="preprocessor">#define GOOSEFEM_ALLOCATE_H</span></div>
<div class="line"><a id="l00011" name="l00011"></a><span class="lineno"> 11</span> </div>
<div class="line"><a id="l00012" name="l00012"></a><span class="lineno"> 12</span><span class="preprocessor">#include &quot;<a class="code" href="config_8h.html">config.h</a>&quot;</span></div>
<div class="line"><a id="l00013" name="l00013"></a><span class="lineno"> 13</span> </div>
<div class="foldopen" id="foldopen00014" data-start="{" data-end="}">
<div class="line"><a id="l00014" name="l00014"></a><span class="lineno"><a class="line" href="namespaceGooseFEM.html"> 14</a></span><span class="keyword">namespace </span><a class="code hl_namespace" href="namespaceGooseFEM.html">GooseFEM</a> {</div>
<div class="line"><a id="l00015" name="l00015"></a><span class="lineno"> 15</span> </div>
<div class="line"><a id="l00016" name="l00016"></a><span class="lineno"> 16</span><span class="keyword">template</span> &lt;<span class="keyword">class</span> T, <span class="keyword">class</span> R&gt;</div>
<div class="line"><a id="l00017" name="l00017"></a><span class="lineno"> 17</span><span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code hl_function" href="namespaceGooseFEM.html#ae97cd438b259a7ed4c0414cb40817b36">asTensor</a>(<span class="keyword">const</span> T&amp; arg, R&amp; ret);</div>
<div class="line"><a id="l00018" name="l00018"></a><span class="lineno"> 18</span> </div>
<div class="line"><a id="l00019" name="l00019"></a><span class="lineno"> 19</span><span class="keyword">namespace </span>detail {</div>
<div class="line"><a id="l00020" name="l00020"></a><span class="lineno"> 20</span> </div>
<div class="line"><a id="l00025" name="l00025"></a><span class="lineno"> 25</span><span class="keyword">template</span> &lt;<span class="keyword">class</span> T, <span class="keyword">class</span> S&gt;</div>
<div class="line"><a id="l00026" name="l00026"></a><span class="lineno"> 26</span><span class="keyword">inline</span> <span class="keywordtype">bool</span> has_shape_begin(<span class="keyword">const</span> T&amp; t, <span class="keyword">const</span> S&amp; s)</div>
<div class="line"><a id="l00027" name="l00027"></a><span class="lineno"> 27</span>{</div>
<div class="line"><a id="l00028" name="l00028"></a><span class="lineno"> 28</span> <span class="keywordflow">return</span> s.dimension() &gt;= t.dimension() &amp;&amp;</div>
<div class="line"><a id="l00029" name="l00029"></a><span class="lineno"> 29</span> std::equal(t.shape().cbegin(), t.shape().cend(), s.shape().begin());</div>
<div class="line"><a id="l00030" name="l00030"></a><span class="lineno"> 30</span>}</div>
<div class="line"><a id="l00031" name="l00031"></a><span class="lineno"> 31</span> </div>
<div class="line"><a id="l00035" name="l00035"></a><span class="lineno"> 35</span><span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;</div>
<div class="line"><a id="l00036" name="l00036"></a><span class="lineno"> 36</span><span class="keyword">struct </span>is_std_array : std::false_type {};</div>
<div class="line"><a id="l00037" name="l00037"></a><span class="lineno"> 37</span> </div>
<div class="line"><a id="l00038" name="l00038"></a><span class="lineno"> 38</span><span class="keyword">template</span> &lt;<span class="keyword">class</span> T, <span class="keywordtype">size_t</span> N&gt;</div>
<div class="line"><a id="l00039" name="l00039"></a><span class="lineno"> 39</span><span class="keyword">struct </span>is_std_array&lt;std::array&lt;T, N&gt;&gt; : std::true_type {};</div>
<div class="line"><a id="l00040" name="l00040"></a><span class="lineno"> 40</span> </div>
<div class="line"><a id="l00044" name="l00044"></a><span class="lineno"> 44</span><span class="keyword">template</span> &lt;<span class="keyword">class</span> T, std::<span class="keywordtype">size_t</span> N&gt;</div>
<div class="line"><a id="l00045" name="l00045"></a><span class="lineno"> 45</span><span class="keyword">auto</span> std_array_size_impl(<span class="keyword">const</span> std::array&lt;T, N&gt;&amp;) -&gt; std::integral_constant&lt;std::size_t, N&gt;;</div>
<div class="line"><a id="l00046" name="l00046"></a><span class="lineno"> 46</span> </div>
<div class="line"><a id="l00050" name="l00050"></a><span class="lineno"> 50</span><span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;</div>
<div class="line"><a id="l00051" name="l00051"></a><span class="lineno"> 51</span><span class="keyword">using </span>std_array_size = <span class="keyword">decltype</span>(std_array_size_impl(std::declval&lt;const T&amp;&gt;()));</div>
<div class="line"><a id="l00052" name="l00052"></a><span class="lineno"> 52</span> </div>
<div class="line"><a id="l00056" name="l00056"></a><span class="lineno"> 56</span><span class="keyword">template</span> &lt;<span class="keyword">class</span> I, std::<span class="keywordtype">size_t</span> L&gt;</div>
<div class="line"><a id="l00057" name="l00057"></a><span class="lineno"> 57</span>std::array&lt;I, L&gt; to_std_array(<span class="keyword">const</span> I (&amp;shape)[L])</div>
<div class="line"><a id="l00058" name="l00058"></a><span class="lineno"> 58</span>{</div>
<div class="line"><a id="l00059" name="l00059"></a><span class="lineno"> 59</span> std::array&lt;I, L&gt; r;</div>
<div class="line"><a id="l00060" name="l00060"></a><span class="lineno"> 60</span> std::copy(&amp;shape[0], &amp;shape[0] + L, r.begin());</div>
<div class="line"><a id="l00061" name="l00061"></a><span class="lineno"> 61</span> <span class="keywordflow">return</span> r;</div>
<div class="line"><a id="l00062" name="l00062"></a><span class="lineno"> 62</span>}</div>
<div class="line"><a id="l00063" name="l00063"></a><span class="lineno"> 63</span> </div>
<div class="line"><a id="l00067" name="l00067"></a><span class="lineno"> 67</span><span class="keyword">template</span> &lt;<span class="keyword">class</span> T, <span class="keyword">class</span> R, <span class="keyword">typename</span> = <span class="keywordtype">void</span>&gt;</div>
<div class="line"><a id="l00068" name="l00068"></a><span class="lineno"> 68</span><span class="keyword">struct </span>asTensor_write {</div>
<div class="line"><a id="l00069" name="l00069"></a><span class="lineno"> 69</span> <span class="keyword">static</span> <span class="keywordtype">void</span> impl(<span class="keyword">const</span> T&amp; arg, R&amp; ret)</div>
<div class="line"><a id="l00070" name="l00070"></a><span class="lineno"> 70</span> {</div>
<div class="line"><a id="l00071" name="l00071"></a><span class="lineno"> 71</span> <a class="code hl_define" href="config_8h.html#a391cf2265f217c503ef4c35e6422b409">GOOSEFEM_ASSERT</a>(arg.dimension() &lt;= ret.dimension());</div>
<div class="line"><a id="l00072" name="l00072"></a><span class="lineno"> 72</span> <a class="code hl_define" href="config_8h.html#a391cf2265f217c503ef4c35e6422b409">GOOSEFEM_ASSERT</a>(detail::has_shape_begin(arg, ret));</div>
<div class="line"><a id="l00073" name="l00073"></a><span class="lineno"> 73</span> <span class="keyword">using </span>strides_type = <span class="keyword">typename</span> T::strides_type::value_type;</div>
<div class="line"><a id="l00074" name="l00074"></a><span class="lineno"> 74</span> std::vector&lt;strides_type&gt; ret_strides(ret.dimension());</div>
<div class="line"><a id="l00075" name="l00075"></a><span class="lineno"> 75</span> std::copy(arg.strides().begin(), arg.strides().end(), ret_strides.begin());</div>
<div class="line"><a id="l00076" name="l00076"></a><span class="lineno"> 76</span> std::fill(ret_strides.begin() + arg.dimension(), ret_strides.end(), 0);</div>
<div class="line"><a id="l00077" name="l00077"></a><span class="lineno"> 77</span> ret = xt::strided_view(</div>
<div class="line"><a id="l00078" name="l00078"></a><span class="lineno"> 78</span> arg, ret.shape(), std::move(ret_strides), 0ul, xt::layout_type::dynamic</div>
<div class="line"><a id="l00079" name="l00079"></a><span class="lineno"> 79</span> );</div>
<div class="line"><a id="l00080" name="l00080"></a><span class="lineno"> 80</span> }</div>
<div class="line"><a id="l00081" name="l00081"></a><span class="lineno"> 81</span>};</div>
<div class="line"><a id="l00082" name="l00082"></a><span class="lineno"> 82</span> </div>
<div class="line"><a id="l00086" name="l00086"></a><span class="lineno"> 86</span><span class="keyword">template</span> &lt;<span class="keyword">class</span> T, <span class="keyword">class</span> R&gt;</div>
<div class="line"><a id="l00087" name="l00087"></a><span class="lineno"> 87</span><span class="keyword">struct </span>asTensor_write&lt;</div>
<div class="line"><a id="l00088" name="l00088"></a><span class="lineno"> 88</span> T,</div>
<div class="line"><a id="l00089" name="l00089"></a><span class="lineno"> 89</span> R,</div>
<div class="line"><a id="l00090" name="l00090"></a><span class="lineno"> 90</span> typename std::enable_if_t&lt;xt::has_fixed_rank_t&lt;T&gt;::value &amp;&amp; xt::has_fixed_rank_t&lt;R&gt;::value&gt;&gt; {</div>
<div class="line"><a id="l00091" name="l00091"></a><span class="lineno"> 91</span> <span class="keyword">static</span> <span class="keywordtype">void</span> impl(<span class="keyword">const</span> T&amp; arg, R&amp; ret)</div>
<div class="line"><a id="l00092" name="l00092"></a><span class="lineno"> 92</span> {</div>
<div class="line"><a id="l00093" name="l00093"></a><span class="lineno"> 93</span> <span class="keyword">static_assert</span>(T::rank &lt;= R::rank, <span class="stringliteral">&quot;Return must be fixed rank too&quot;</span>);</div>
<div class="line"><a id="l00094" name="l00094"></a><span class="lineno"> 94</span> <a class="code hl_define" href="config_8h.html#a391cf2265f217c503ef4c35e6422b409">GOOSEFEM_ASSERT</a>(detail::has_shape_begin(arg, ret));</div>
<div class="line"><a id="l00095" name="l00095"></a><span class="lineno"> 95</span> <span class="keyword">using </span>strides_type = <span class="keyword">typename</span> T::strides_type::value_type;</div>
<div class="line"><a id="l00096" name="l00096"></a><span class="lineno"> 96</span> std::array&lt;strides_type, R::rank&gt; ret_strides;</div>
<div class="line"><a id="l00097" name="l00097"></a><span class="lineno"> 97</span> std::copy(arg.strides().begin(), arg.strides().end(), ret_strides.begin());</div>
<div class="line"><a id="l00098" name="l00098"></a><span class="lineno"> 98</span> std::fill(ret_strides.begin() + T::rank, ret_strides.end(), 0);</div>
<div class="line"><a id="l00099" name="l00099"></a><span class="lineno"> 99</span> ret = xt::strided_view(</div>
<div class="line"><a id="l00100" name="l00100"></a><span class="lineno"> 100</span> arg, ret.shape(), std::move(ret_strides), 0ul, xt::layout_type::dynamic</div>
<div class="line"><a id="l00101" name="l00101"></a><span class="lineno"> 101</span> );</div>
<div class="line"><a id="l00102" name="l00102"></a><span class="lineno"> 102</span> }</div>
<div class="line"><a id="l00103" name="l00103"></a><span class="lineno"> 103</span>};</div>
<div class="line"><a id="l00104" name="l00104"></a><span class="lineno"> 104</span> </div>
<div class="line"><a id="l00108" name="l00108"></a><span class="lineno"> 108</span><span class="keyword">template</span> &lt;<span class="keyword">class</span> T, <span class="keyword">class</span> S, <span class="keyword">typename</span> = <span class="keywordtype">void</span>&gt;</div>
<div class="line"><a id="l00109" name="l00109"></a><span class="lineno"> 109</span><span class="keyword">struct </span>asTensor_allocate {</div>
<div class="line"><a id="l00110" name="l00110"></a><span class="lineno"> 110</span> <span class="keyword">static</span> <span class="keyword">auto</span> impl(<span class="keyword">const</span> T&amp; arg, <span class="keyword">const</span> S&amp; shape)</div>
<div class="line"><a id="l00111" name="l00111"></a><span class="lineno"> 111</span> {</div>
<div class="line"><a id="l00112" name="l00112"></a><span class="lineno"> 112</span> <span class="keyword">using </span>value_type = <span class="keyword">typename</span> T::value_type;</div>
<div class="line"><a id="l00113" name="l00113"></a><span class="lineno"> 113</span> <span class="keywordtype">size_t</span> dim = arg.dimension();</div>
<div class="line"><a id="l00114" name="l00114"></a><span class="lineno"> 114</span> <span class="keywordtype">size_t</span> rank = shape.size();</div>
<div class="line"><a id="l00115" name="l00115"></a><span class="lineno"> 115</span> std::vector&lt;size_t&gt; ret_shape(dim + rank);</div>
<div class="line"><a id="l00116" name="l00116"></a><span class="lineno"> 116</span> std::copy(arg.shape().begin(), arg.shape().end(), ret_shape.begin());</div>
<div class="line"><a id="l00117" name="l00117"></a><span class="lineno"> 117</span> std::copy(shape.begin(), shape.end(), ret_shape.begin() + dim);</div>
<div class="line"><a id="l00118" name="l00118"></a><span class="lineno"> 118</span> xt::xarray&lt;value_type&gt; ret(ret_shape);</div>
<div class="line"><a id="l00119" name="l00119"></a><span class="lineno"> 119</span> <a class="code hl_function" href="namespaceGooseFEM.html#ae97cd438b259a7ed4c0414cb40817b36">GooseFEM::asTensor</a>(arg, ret);</div>
<div class="line"><a id="l00120" name="l00120"></a><span class="lineno"> 120</span> <span class="keywordflow">return</span> ret;</div>
<div class="line"><a id="l00121" name="l00121"></a><span class="lineno"> 121</span> }</div>
<div class="line"><a id="l00122" name="l00122"></a><span class="lineno"> 122</span>};</div>
<div class="line"><a id="l00123" name="l00123"></a><span class="lineno"> 123</span> </div>
<div class="line"><a id="l00127" name="l00127"></a><span class="lineno"> 127</span><span class="keyword">template</span> &lt;<span class="keyword">class</span> T, <span class="keyword">class</span> S&gt;</div>
<div class="line"><a id="l00128" name="l00128"></a><span class="lineno"> 128</span><span class="keyword">struct </span>asTensor_allocate&lt;T, S, typename std::enable_if_t&lt;detail::is_std_array&lt;S&gt;::value&gt;&gt; {</div>
<div class="line"><a id="l00129" name="l00129"></a><span class="lineno"> 129</span> <span class="keyword">static</span> <span class="keyword">auto</span> impl(<span class="keyword">const</span> T&amp; arg, <span class="keyword">const</span> S&amp; shape)</div>
<div class="line"><a id="l00130" name="l00130"></a><span class="lineno"> 130</span> {</div>
<div class="line"><a id="l00131" name="l00131"></a><span class="lineno"> 131</span> <span class="keyword">using </span>value_type = <span class="keyword">typename</span> T::value_type;</div>
<div class="line"><a id="l00132" name="l00132"></a><span class="lineno"> 132</span> <span class="keyword">static</span> <span class="keyword">constexpr</span> <span class="keywordtype">size_t</span> dim = T::rank;</div>
<div class="line"><a id="l00133" name="l00133"></a><span class="lineno"> 133</span> <span class="keyword">static</span> <span class="keyword">constexpr</span> <span class="keywordtype">size_t</span> rank = std_array_size&lt;S&gt;::value;</div>
<div class="line"><a id="l00134" name="l00134"></a><span class="lineno"> 134</span> std::array&lt;size_t, dim + rank&gt; ret_shape;</div>
<div class="line"><a id="l00135" name="l00135"></a><span class="lineno"> 135</span> std::copy(arg.shape().begin(), arg.shape().end(), ret_shape.begin());</div>
<div class="line"><a id="l00136" name="l00136"></a><span class="lineno"> 136</span> std::copy(shape.begin(), shape.end(), ret_shape.begin() + dim);</div>
<div class="line"><a id="l00137" name="l00137"></a><span class="lineno"> 137</span> <a class="code hl_typedef" href="namespaceGooseFEM_1_1array__type.html#adad35bf4db4c7eb54c25136f0f3d34d1">array_type::tensor&lt;value_type, dim + rank&gt;</a> ret = xt::empty&lt;value_type&gt;(ret_shape);</div>
<div class="line"><a id="l00138" name="l00138"></a><span class="lineno"> 138</span> detail::asTensor_write&lt;std::decay_t&lt;T&gt;, <span class="keyword">decltype</span>(ret)&gt;::impl(arg, ret);</div>
<div class="line"><a id="l00139" name="l00139"></a><span class="lineno"> 139</span> <span class="keywordflow">return</span> ret;</div>
<div class="line"><a id="l00140" name="l00140"></a><span class="lineno"> 140</span> }</div>
<div class="line"><a id="l00141" name="l00141"></a><span class="lineno"> 141</span>};</div>
<div class="line"><a id="l00142" name="l00142"></a><span class="lineno"> 142</span> </div>
<div class="line"><a id="l00143" name="l00143"></a><span class="lineno"> 143</span>} <span class="comment">// namespace detail</span></div>
<div class="line"><a id="l00144" name="l00144"></a><span class="lineno"> 144</span> </div>
<div class="line"><a id="l00152" name="l00152"></a><span class="lineno"> 152</span><span class="keyword">template</span> &lt;<span class="keyword">class</span> T, <span class="keyword">class</span> R&gt;</div>
<div class="foldopen" id="foldopen00153" data-start="{" data-end="}">
<div class="line"><a id="l00153" name="l00153"></a><span class="lineno"><a class="line" href="namespaceGooseFEM.html#ae97cd438b259a7ed4c0414cb40817b36"> 153</a></span><span class="keyword">inline</span> <span class="keywordtype">void</span> <a class="code hl_function" href="namespaceGooseFEM.html#ae97cd438b259a7ed4c0414cb40817b36">asTensor</a>(<span class="keyword">const</span> T&amp; arg, R&amp; ret)</div>
<div class="line"><a id="l00154" name="l00154"></a><span class="lineno"> 154</span>{</div>
<div class="line"><a id="l00155" name="l00155"></a><span class="lineno"> 155</span> detail::asTensor_write&lt;std::decay_t&lt;T&gt;, std::decay_t&lt;R&gt;&gt;::impl(arg, ret);</div>
<div class="line"><a id="l00156" name="l00156"></a><span class="lineno"> 156</span>}</div>
</div>
<div class="line"><a id="l00157" name="l00157"></a><span class="lineno"> 157</span> </div>
<div class="line"><a id="l00166" name="l00166"></a><span class="lineno"> 166</span><span class="keyword">template</span> &lt;<span class="keyword">class</span> T, <span class="keyword">class</span> S&gt;</div>
<div class="foldopen" id="foldopen00167" data-start="{" data-end="}">
<div class="line"><a id="l00167" name="l00167"></a><span class="lineno"><a class="line" href="namespaceGooseFEM.html#acb082fa83b6ad7cf3a04bd7a181cce81"> 167</a></span><span class="keyword">inline</span> <span class="keyword">auto</span> <a class="code hl_function" href="namespaceGooseFEM.html#acb082fa83b6ad7cf3a04bd7a181cce81">AsTensor</a>(<span class="keyword">const</span> T&amp; arg, <span class="keyword">const</span> S&amp; shape)</div>
<div class="line"><a id="l00168" name="l00168"></a><span class="lineno"> 168</span>{</div>
<div class="line"><a id="l00169" name="l00169"></a><span class="lineno"> 169</span> <span class="keywordflow">return</span> detail::asTensor_allocate&lt;std::decay_t&lt;T&gt;, std::decay_t&lt;S&gt;&gt;::impl(arg, shape);</div>
<div class="line"><a id="l00170" name="l00170"></a><span class="lineno"> 170</span>}</div>
</div>
<div class="line"><a id="l00171" name="l00171"></a><span class="lineno"> 171</span> </div>
<div class="line"><a id="l00175" name="l00175"></a><span class="lineno"> 175</span><span class="keyword">template</span> &lt;<span class="keyword">class</span> T, <span class="keyword">class</span> I, <span class="keywordtype">size_t</span> L&gt;</div>
<div class="foldopen" id="foldopen00176" data-start="{" data-end="}">
<div class="line"><a id="l00176" name="l00176"></a><span class="lineno"><a class="line" href="namespaceGooseFEM.html#a8664cf1049c77e8aab7b6a6a36b331a6"> 176</a></span><span class="keyword">inline</span> <span class="keyword">auto</span> <a class="code hl_function" href="namespaceGooseFEM.html#acb082fa83b6ad7cf3a04bd7a181cce81">AsTensor</a>(<span class="keyword">const</span> T&amp; arg, <span class="keyword">const</span> I (&amp;shape)[L])</div>
<div class="line"><a id="l00177" name="l00177"></a><span class="lineno"> 177</span>{</div>
<div class="line"><a id="l00178" name="l00178"></a><span class="lineno"> 178</span> <span class="keyword">auto</span> s = detail::to_std_array(shape);</div>
<div class="line"><a id="l00179" name="l00179"></a><span class="lineno"> 179</span> <span class="keywordflow">return</span> detail::asTensor_allocate&lt;std::decay_t&lt;T&gt;, <span class="keyword">decltype</span>(s)&gt;::impl(arg, s);</div>
<div class="line"><a id="l00180" name="l00180"></a><span class="lineno"> 180</span>}</div>
</div>
<div class="line"><a id="l00181" name="l00181"></a><span class="lineno"> 181</span> </div>
<div class="line"><a id="l00191" name="l00191"></a><span class="lineno"> 191</span><span class="keyword">template</span> &lt;<span class="keywordtype">size_t</span> rank, <span class="keyword">class</span> T&gt;</div>
<div class="foldopen" id="foldopen00192" data-start="{" data-end="}">
<div class="line"><a id="l00192" name="l00192"></a><span class="lineno"><a class="line" href="namespaceGooseFEM.html#a4b030695a10a6675a3ac744cae91fb18"> 192</a></span><span class="keyword">inline</span> <span class="keyword">auto</span> <a class="code hl_function" href="namespaceGooseFEM.html#acb082fa83b6ad7cf3a04bd7a181cce81">AsTensor</a>(<span class="keyword">const</span> T&amp; arg, <span class="keywordtype">size_t</span> n)</div>
<div class="line"><a id="l00193" name="l00193"></a><span class="lineno"> 193</span>{</div>
<div class="line"><a id="l00194" name="l00194"></a><span class="lineno"> 194</span> std::array&lt;size_t, rank&gt; shape;</div>
<div class="line"><a id="l00195" name="l00195"></a><span class="lineno"> 195</span> std::fill(shape.begin(), shape.end(), n);</div>
<div class="line"><a id="l00196" name="l00196"></a><span class="lineno"> 196</span> <span class="keywordflow">return</span> detail::asTensor_allocate&lt;std::decay_t&lt;T&gt;, <span class="keyword">decltype</span>(shape)&gt;::impl(arg, shape);</div>
<div class="line"><a id="l00197" name="l00197"></a><span class="lineno"> 197</span>}</div>
</div>
<div class="line"><a id="l00198" name="l00198"></a><span class="lineno"> 198</span> </div>
<div class="line"><a id="l00208" name="l00208"></a><span class="lineno"> 208</span><span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;</div>
<div class="foldopen" id="foldopen00209" data-start="{" data-end="}">
<div class="line"><a id="l00209" name="l00209"></a><span class="lineno"><a class="line" href="namespaceGooseFEM.html#ae104b1e65ffc417c046f5ff928383f2b"> 209</a></span><span class="keyword">inline</span> <span class="keyword">auto</span> <a class="code hl_function" href="namespaceGooseFEM.html#acb082fa83b6ad7cf3a04bd7a181cce81">AsTensor</a>(<span class="keywordtype">size_t</span> rank, <span class="keyword">const</span> T&amp; arg, <span class="keywordtype">size_t</span> n)</div>
<div class="line"><a id="l00210" name="l00210"></a><span class="lineno"> 210</span>{</div>
<div class="line"><a id="l00211" name="l00211"></a><span class="lineno"> 211</span> std::vector&lt;size_t&gt; shape(rank);</div>
<div class="line"><a id="l00212" name="l00212"></a><span class="lineno"> 212</span> std::fill(shape.begin(), shape.end(), n);</div>
<div class="line"><a id="l00213" name="l00213"></a><span class="lineno"> 213</span> <span class="keywordflow">return</span> detail::asTensor_allocate&lt;std::decay_t&lt;T&gt;, <span class="keyword">decltype</span>(shape)&gt;::impl(arg, shape);</div>
<div class="line"><a id="l00214" name="l00214"></a><span class="lineno"> 214</span>}</div>
</div>
<div class="line"><a id="l00215" name="l00215"></a><span class="lineno"> 215</span> </div>
<div class="line"><a id="l00222" name="l00222"></a><span class="lineno"> 222</span><span class="keyword">template</span> &lt;<span class="keyword">class</span> T&gt;</div>
<div class="foldopen" id="foldopen00223" data-start="{" data-end="}">
<div class="line"><a id="l00223" name="l00223"></a><span class="lineno"><a class="line" href="namespaceGooseFEM.html#a44250985d5b267678f934c824f062235"> 223</a></span><span class="keyword">inline</span> T <a class="code hl_function" href="namespaceGooseFEM.html#a44250985d5b267678f934c824f062235">as3d</a>(<span class="keyword">const</span> T&amp; arg)</div>
<div class="line"><a id="l00224" name="l00224"></a><span class="lineno"> 224</span>{</div>
<div class="line"><a id="l00225" name="l00225"></a><span class="lineno"> 225</span> <a class="code hl_define" href="config_8h.html#a391cf2265f217c503ef4c35e6422b409">GOOSEFEM_ASSERT</a>(arg.dimension() == 2);</div>
<div class="line"><a id="l00226" name="l00226"></a><span class="lineno"> 226</span> <a class="code hl_define" href="config_8h.html#a391cf2265f217c503ef4c35e6422b409">GOOSEFEM_ASSERT</a>(arg.shape(1) &gt; 0 &amp;&amp; arg.shape(1) &lt; 4);</div>
<div class="line"><a id="l00227" name="l00227"></a><span class="lineno"> 227</span> </div>
<div class="line"><a id="l00228" name="l00228"></a><span class="lineno"> 228</span> <span class="keywordflow">if</span> (arg.shape(1) == 3ul) {</div>
<div class="line"><a id="l00229" name="l00229"></a><span class="lineno"> 229</span> <span class="keywordflow">return</span> arg;</div>
<div class="line"><a id="l00230" name="l00230"></a><span class="lineno"> 230</span> }</div>
<div class="line"><a id="l00231" name="l00231"></a><span class="lineno"> 231</span> </div>
<div class="line"><a id="l00232" name="l00232"></a><span class="lineno"> 232</span> T ret = xt::zeros&lt;typename T::value_type&gt;(std::array&lt;size_t, 2&gt;{arg.shape(0), 3ul});</div>
<div class="line"><a id="l00233" name="l00233"></a><span class="lineno"> 233</span> </div>
<div class="line"><a id="l00234" name="l00234"></a><span class="lineno"> 234</span> <span class="keywordflow">if</span> (arg.shape(1) == 2ul) {</div>
<div class="line"><a id="l00235" name="l00235"></a><span class="lineno"> 235</span> xt::view(ret, xt::all(), xt::keep(0, 1)) = arg;</div>
<div class="line"><a id="l00236" name="l00236"></a><span class="lineno"> 236</span> }</div>
<div class="line"><a id="l00237" name="l00237"></a><span class="lineno"> 237</span> </div>
<div class="line"><a id="l00238" name="l00238"></a><span class="lineno"> 238</span> <span class="keywordflow">if</span> (arg.shape(1) == 1ul) {</div>
<div class="line"><a id="l00239" name="l00239"></a><span class="lineno"> 239</span> xt::view(ret, xt::all(), xt::keep(0)) = arg;</div>
<div class="line"><a id="l00240" name="l00240"></a><span class="lineno"> 240</span> }</div>
<div class="line"><a id="l00241" name="l00241"></a><span class="lineno"> 241</span> </div>
<div class="line"><a id="l00242" name="l00242"></a><span class="lineno"> 242</span> <span class="keywordflow">return</span> ret;</div>
<div class="line"><a id="l00243" name="l00243"></a><span class="lineno"> 243</span>}</div>
</div>
<div class="line"><a id="l00244" name="l00244"></a><span class="lineno"> 244</span> </div>
<div class="line"><a id="l00245" name="l00245"></a><span class="lineno"> 245</span>} <span class="comment">// namespace GooseFEM</span></div>
</div>
<div class="line"><a id="l00246" name="l00246"></a><span class="lineno"> 246</span> </div>
<div class="line"><a id="l00247" name="l00247"></a><span class="lineno"> 247</span><span class="preprocessor">#endif</span></div>
<div class="ttc" id="aconfig_8h_html"><div class="ttname"><a href="config_8h.html">config.h</a></div><div class="ttdoc">Basic configuration:</div></div>
<div class="ttc" id="aconfig_8h_html_a391cf2265f217c503ef4c35e6422b409"><div class="ttname"><a href="config_8h.html#a391cf2265f217c503ef4c35e6422b409">GOOSEFEM_ASSERT</a></div><div class="ttdeci">#define GOOSEFEM_ASSERT(expr)</div><div class="ttdoc">All assertions are implementation as::</div><div class="ttdef"><b>Definition</b> <a href="config_8h_source.html#l00097">config.h:97</a></div></div>
<div class="ttc" id="anamespaceGooseFEM_1_1array__type_html_adad35bf4db4c7eb54c25136f0f3d34d1"><div class="ttname"><a href="namespaceGooseFEM_1_1array__type.html#adad35bf4db4c7eb54c25136f0f3d34d1">GooseFEM::array_type::tensor</a></div><div class="ttdeci">xt::xtensor&lt; T, N &gt; tensor</div><div class="ttdoc">Fixed (static) rank array.</div><div class="ttdef"><b>Definition</b> <a href="config_8h_source.html#l00177">config.h:177</a></div></div>
<div class="ttc" id="anamespaceGooseFEM_html"><div class="ttname"><a href="namespaceGooseFEM.html">GooseFEM</a></div><div class="ttdoc">Toolbox to perform finite element computations.</div><div class="ttdef"><b>Definition</b> <a href="#l00014">Allocate.h:14</a></div></div>
<div class="ttc" id="anamespaceGooseFEM_html_a44250985d5b267678f934c824f062235"><div class="ttname"><a href="namespaceGooseFEM.html#a44250985d5b267678f934c824f062235">GooseFEM::as3d</a></div><div class="ttdeci">T as3d(const T &amp;arg)</div><div class="ttdoc">Zero-pad columns to a matrix until is that shape [m, 3].</div><div class="ttdef"><b>Definition</b> <a href="#l00223">Allocate.h:223</a></div></div>
<div class="ttc" id="anamespaceGooseFEM_html_acb082fa83b6ad7cf3a04bd7a181cce81"><div class="ttname"><a href="namespaceGooseFEM.html#acb082fa83b6ad7cf3a04bd7a181cce81">GooseFEM::AsTensor</a></div><div class="ttdeci">auto AsTensor(const T &amp;arg, const S &amp;shape)</div><div class="ttdoc">&quot;Broadcast&quot; a scalar stored in an array (e.g.</div><div class="ttdef"><b>Definition</b> <a href="#l00167">Allocate.h:167</a></div></div>
<div class="ttc" id="anamespaceGooseFEM_html_ae97cd438b259a7ed4c0414cb40817b36"><div class="ttname"><a href="namespaceGooseFEM.html#ae97cd438b259a7ed4c0414cb40817b36">GooseFEM::asTensor</a></div><div class="ttdeci">void asTensor(const T &amp;arg, R &amp;ret)</div><div class="ttdoc">&quot;Broadcast&quot; a scalar stored in an array (e.g.</div><div class="ttdef"><b>Definition</b> <a href="#l00153">Allocate.h:153</a></div></div>
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