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<div class="title">Functors.h</div> </div>
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<div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">// This file is part of Eigen, a lightweight C++ template library</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// for linear algebra.</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">//</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.fr></span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment">//</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment">// This Source Code Form is subject to the terms of the Mozilla</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment">// Public License v. 2.0. If a copy of the MPL was not distributed</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment">// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#ifndef EIGEN_FUNCTORS_H</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor"></span><span class="preprocessor">#define EIGEN_FUNCTORS_H</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="keyword">namespace </span>Eigen {</div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">namespace </span>internal {</div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> </div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment">// associative functors:</span></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> </div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar> <span class="keyword">struct </span>scalar_sum_op {</div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_sum_op)</div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a, const Scalar& b)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> a + b; }</div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Packet></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Packet packetOp(<span class="keyword">const</span> Packet& a, <span class="keyword">const</span> Packet& b)<span class="keyword"> const</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> internal::padd(a,b); }</div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Packet></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Scalar predux(<span class="keyword">const</span> Packet& a)<span class="keyword"> const</span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> internal::predux(a); }</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> };</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keyword">struct </span>functor_traits<scalar_sum_op<Scalar> > {</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  Cost = NumTraits<Scalar>::AddCost,</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  PacketAccess = packet_traits<Scalar>::HasAdd</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  };</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> };</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">template</span><<span class="keyword">typename</span> LhsScalar,<span class="keyword">typename</span> RhsScalar> <span class="keyword">struct </span>scalar_product_op {</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="comment">// TODO vectorize mixed product</span></div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  Vectorizable = is_same<LhsScalar,RhsScalar>::value && packet_traits<LhsScalar>::HasMul && packet_traits<RhsScalar>::HasMul</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  };</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> scalar_product_traits<LhsScalar,RhsScalar>::ReturnType result_type;</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_product_op)</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  EIGEN_STRONG_INLINE const result_type operator() (const LhsScalar& a, const RhsScalar& b)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> a * b; }</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Packet></div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Packet packetOp(<span class="keyword">const</span> Packet& a, <span class="keyword">const</span> Packet& b)<span class="keyword"> const</span></div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> internal::pmul(a,b); }</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Packet></div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> result_type predux(<span class="keyword">const</span> Packet& a)<span class="keyword"> const</span></div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> internal::predux_mul(a); }</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span> };</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="keyword">template</span><<span class="keyword">typename</span> LhsScalar,<span class="keyword">typename</span> RhsScalar></div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="keyword">struct </span>functor_traits<scalar_product_op<LhsScalar,RhsScalar> > {</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  Cost = (NumTraits<LhsScalar>::MulCost + NumTraits<RhsScalar>::MulCost)/2, <span class="comment">// rough estimate!</span></div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  PacketAccess = scalar_product_op<LhsScalar,RhsScalar>::Vectorizable</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  };</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span> };</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span> </div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="keyword">template</span><<span class="keyword">typename</span> LhsScalar,<span class="keyword">typename</span> RhsScalar> <span class="keyword">struct </span>scalar_conj_product_op {</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  Conj = NumTraits<LhsScalar>::IsComplex</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  };</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  </div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> scalar_product_traits<LhsScalar,RhsScalar>::ReturnType result_type;</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  </div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_conj_product_op)</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  EIGEN_STRONG_INLINE const result_type operator() (const LhsScalar& a, const RhsScalar& b)<span class="keyword"> const</span></div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> conj_helper<LhsScalar,RhsScalar,Conj,false>().pmul(a,b); }</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  </div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Packet></div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Packet packetOp(<span class="keyword">const</span> Packet& a, <span class="keyword">const</span> Packet& b)<span class="keyword"> const</span></div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> conj_helper<Packet,Packet,Conj,false>().pmul(a,b); }</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span> };</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span> <span class="keyword">template</span><<span class="keyword">typename</span> LhsScalar,<span class="keyword">typename</span> RhsScalar></div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="keyword">struct </span>functor_traits<scalar_conj_product_op<LhsScalar,RhsScalar> > {</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  Cost = NumTraits<LhsScalar>::MulCost,</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  PacketAccess = internal::is_same<LhsScalar, RhsScalar>::value && packet_traits<LhsScalar>::HasMul</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  };</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span> };</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span> </div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar> <span class="keyword">struct </span>scalar_min_op {</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_min_op)</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a, const Scalar& b)<span class="keyword"> const </span>{ <span class="keyword">using</span> std::min; <span class="keywordflow">return</span> (min)(a, b); }</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Packet></div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Packet packetOp(<span class="keyword">const</span> Packet& a, <span class="keyword">const</span> Packet& b)<span class="keyword"> const</span></div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> internal::pmin(a,b); }</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Packet></div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Scalar predux(<span class="keyword">const</span> Packet& a)<span class="keyword"> const</span></div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> internal::predux_min(a); }</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span> };</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="keyword">struct </span>functor_traits<scalar_min_op<Scalar> > {</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  Cost = NumTraits<Scalar>::AddCost,</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  PacketAccess = packet_traits<Scalar>::HasMin</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  };</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span> };</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar> <span class="keyword">struct </span>scalar_max_op {</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_max_op)</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a, const Scalar& b)<span class="keyword"> const </span>{ <span class="keyword">using</span> std::max; <span class="keywordflow">return</span> (max)(a, b); }</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Packet></div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Packet packetOp(<span class="keyword">const</span> Packet& a, <span class="keyword">const</span> Packet& b)<span class="keyword"> const</span></div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> internal::pmax(a,b); }</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Packet></div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Scalar predux(<span class="keyword">const</span> Packet& a)<span class="keyword"> const</span></div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> internal::predux_max(a); }</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span> };</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span> <span class="keyword">struct </span>functor_traits<scalar_max_op<Scalar> > {</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  Cost = NumTraits<Scalar>::AddCost,</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  PacketAccess = packet_traits<Scalar>::HasMax</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  };</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span> };</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span> </div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar> <span class="keyword">struct </span>scalar_hypot_op {</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_hypot_op)</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span> <span class="comment">// typedef typename NumTraits<Scalar>::Real result_type;</span></div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& _x, const Scalar& _y)<span class="keyword"> const</span></div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keyword">using</span> std::max;</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keyword">using</span> std::min;</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keyword">using</span> std::sqrt;</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  Scalar p = (max)(_x, _y);</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  Scalar q = (min)(_x, _y);</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  Scalar qp = q/p;</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordflow">return</span> p * sqrt(Scalar(1) + qp*qp);</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  }</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span> };</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span> <span class="keyword">struct </span>functor_traits<scalar_hypot_op<Scalar> > {</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keyword">enum</span> { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess=0 };</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span> };</div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span> </div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> OtherScalar> <span class="keyword">struct </span>scalar_binary_pow_op {</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_binary_pow_op)</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  inline Scalar operator() (const Scalar& a, const OtherScalar& b)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> numext::pow(a, b); }</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span> };</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> OtherScalar></div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span> <span class="keyword">struct </span>functor_traits<scalar_binary_pow_op<Scalar,OtherScalar> > {</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keyword">enum</span> { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess = <span class="keyword">false</span> };</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span> };</div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span> </div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span> <span class="comment">// other binary functors:</span></div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span> </div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar> <span class="keyword">struct </span>scalar_difference_op {</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_difference_op)</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a, const Scalar& b)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> a - b; }</div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Packet></div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Packet packetOp(<span class="keyword">const</span> Packet& a, <span class="keyword">const</span> Packet& b)<span class="keyword"> const</span></div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> internal::psub(a,b); }</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span> };</div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span> <span class="keyword">struct </span>functor_traits<scalar_difference_op<Scalar> > {</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  Cost = NumTraits<Scalar>::AddCost,</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  PacketAccess = packet_traits<Scalar>::HasSub</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  };</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span> };</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span> </div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span> <span class="keyword">template</span><<span class="keyword">typename</span> LhsScalar,<span class="keyword">typename</span> RhsScalar> <span class="keyword">struct </span>scalar_quotient_op {</div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="comment">// TODO vectorize mixed product</span></div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  Vectorizable = is_same<LhsScalar,RhsScalar>::value && packet_traits<LhsScalar>::HasDiv && packet_traits<RhsScalar>::HasDiv</div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  };</div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> scalar_product_traits<LhsScalar,RhsScalar>::ReturnType result_type;</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_quotient_op)</div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  EIGEN_STRONG_INLINE const result_type operator() (const LhsScalar& a, const RhsScalar& b)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> a / b; }</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Packet></div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Packet packetOp(<span class="keyword">const</span> Packet& a, <span class="keyword">const</span> Packet& b)<span class="keyword"> const</span></div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> internal::pdiv(a,b); }</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span> };</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span> <span class="keyword">template</span><<span class="keyword">typename</span> LhsScalar,<span class="keyword">typename</span> RhsScalar></div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span> <span class="keyword">struct </span>functor_traits<scalar_quotient_op<LhsScalar,RhsScalar> > {</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  Cost = (NumTraits<LhsScalar>::MulCost + NumTraits<RhsScalar>::MulCost), <span class="comment">// rough estimate!</span></div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  PacketAccess = scalar_quotient_op<LhsScalar,RhsScalar>::Vectorizable</div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  };</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span> };</div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span> </div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span> </div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span> </div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span> <span class="keyword">struct </span>scalar_boolean_and_op {</div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_boolean_and_op)</div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  EIGEN_STRONG_INLINE <span class="keywordtype">bool</span> operator() (const <span class="keywordtype">bool</span>& a, const <span class="keywordtype">bool</span>& b)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> a && b; }</div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span> };</div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span> <span class="keyword">template</span><> <span class="keyword">struct </span>functor_traits<scalar_boolean_and_op> {</div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  Cost = NumTraits<bool>::AddCost,</div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  PacketAccess = <span class="keyword">false</span></div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  };</div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span> };</div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span> </div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span> <span class="keyword">struct </span>scalar_boolean_or_op {</div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_boolean_or_op)</div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  EIGEN_STRONG_INLINE <span class="keywordtype">bool</span> operator() (const <span class="keywordtype">bool</span>& a, const <span class="keywordtype">bool</span>& b)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> a || b; }</div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span> };</div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span> <span class="keyword">template</span><> <span class="keyword">struct </span>functor_traits<scalar_boolean_or_op> {</div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  Cost = NumTraits<bool>::AddCost,</div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  PacketAccess = <span class="keyword">false</span></div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  };</div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span> };</div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span> </div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span> <span class="comment">// unary functors:</span></div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span> </div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar> <span class="keyword">struct </span>scalar_opposite_op {</div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_opposite_op)</div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> -a; }</div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Packet></div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Packet packetOp(<span class="keyword">const</span> Packet& a)<span class="keyword"> const</span></div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> internal::pnegate(a); }</div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span> };</div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span> <span class="keyword">struct </span>functor_traits<scalar_opposite_op<Scalar> ></div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span> { <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  Cost = NumTraits<Scalar>::AddCost,</div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  PacketAccess = packet_traits<Scalar>::HasNegate };</div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span> };</div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span> </div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar> <span class="keyword">struct </span>scalar_abs_op {</div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_abs_op)</div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  typedef typename NumTraits<Scalar>::Real result_type;</div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  EIGEN_STRONG_INLINE const result_type operator() (const Scalar& a)<span class="keyword"> const </span>{ <span class="keyword">using</span> std::abs; <span class="keywordflow">return</span> abs(a); }</div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Packet></div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Packet packetOp(<span class="keyword">const</span> Packet& a)<span class="keyword"> const</span></div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> internal::pabs(a); }</div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span> };</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span> <span class="keyword">struct </span>functor_traits<scalar_abs_op<Scalar> ></div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span> {</div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  Cost = NumTraits<Scalar>::AddCost,</div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  PacketAccess = packet_traits<Scalar>::HasAbs</div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  };</div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span> };</div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span> </div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar> <span class="keyword">struct </span>scalar_abs2_op {</div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_abs2_op)</div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  typedef typename NumTraits<Scalar>::Real result_type;</div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  EIGEN_STRONG_INLINE const result_type operator() (const Scalar& a)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> numext::abs2(a); }</div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Packet></div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Packet packetOp(<span class="keyword">const</span> Packet& a)<span class="keyword"> const</span></div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> internal::pmul(a,a); }</div>
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span> };</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span> <span class="keyword">struct </span>functor_traits<scalar_abs2_op<Scalar> ></div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span> { <span class="keyword">enum</span> { Cost = NumTraits<Scalar>::MulCost, PacketAccess = packet_traits<Scalar>::HasAbs2 }; };</div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span> </div>
<div class="line"><a name="l00327"></a><span class="lineno"> 327</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar> <span class="keyword">struct </span>scalar_conjugate_op {</div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_conjugate_op)</div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  EIGEN_STRONG_INLINE const Scalar operator() (const Scalar& a)<span class="keyword"> const </span>{ <span class="keyword">using</span> numext::conj; <span class="keywordflow">return</span> conj(a); }</div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Packet></div>
<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Packet packetOp(<span class="keyword">const</span> Packet& a)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> internal::pconj(a); }</div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span> };</div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span> <span class="keyword">struct </span>functor_traits<scalar_conjugate_op<Scalar> ></div>
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span> {</div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  Cost = NumTraits<Scalar>::IsComplex ? NumTraits<Scalar>::AddCost : 0,</div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  PacketAccess = packet_traits<Scalar>::HasConj</div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  };</div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span> };</div>
<div class="line"><a name="l00341"></a><span class="lineno"> 341</span> </div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> NewType></div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span> <span class="keyword">struct </span>scalar_cast_op {</div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_cast_op)</div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  typedef NewType result_type;</div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  EIGEN_STRONG_INLINE const NewType operator() (const Scalar& a)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> cast<Scalar, NewType>(a); }</div>
<div class="line"><a name="l00352"></a><span class="lineno"> 352</span> };</div>
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar, <span class="keyword">typename</span> NewType></div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span> <span class="keyword">struct </span>functor_traits<scalar_cast_op<Scalar,NewType> ></div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span> { <span class="keyword">enum</span> { Cost = is_same<Scalar, NewType>::value ? 0 : NumTraits<NewType>::AddCost, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span> </div>
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span> <span class="keyword">struct </span>scalar_real_op {</div>
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_real_op)</div>
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  typedef typename NumTraits<Scalar>::Real result_type;</div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  EIGEN_STRONG_INLINE result_type operator() (const Scalar& a)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> numext::real(a); }</div>
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span> };</div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00369"></a><span class="lineno"> 369</span> <span class="keyword">struct </span>functor_traits<scalar_real_op<Scalar> ></div>
<div class="line"><a name="l00370"></a><span class="lineno"> 370</span> { <span class="keyword">enum</span> { Cost = 0, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00371"></a><span class="lineno"> 371</span> </div>
<div class="line"><a name="l00377"></a><span class="lineno"> 377</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00378"></a><span class="lineno"> 378</span> <span class="keyword">struct </span>scalar_imag_op {</div>
<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_imag_op)</div>
<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  typedef typename NumTraits<Scalar>::Real result_type;</div>
<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  EIGEN_STRONG_INLINE result_type operator() (const Scalar& a)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> numext::imag(a); }</div>
<div class="line"><a name="l00382"></a><span class="lineno"> 382</span> };</div>
<div class="line"><a name="l00383"></a><span class="lineno"> 383</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00384"></a><span class="lineno"> 384</span> <span class="keyword">struct </span>functor_traits<scalar_imag_op<Scalar> ></div>
<div class="line"><a name="l00385"></a><span class="lineno"> 385</span> { <span class="keyword">enum</span> { Cost = 0, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00386"></a><span class="lineno"> 386</span> </div>
<div class="line"><a name="l00392"></a><span class="lineno"> 392</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span> <span class="keyword">struct </span>scalar_real_ref_op {</div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_real_ref_op)</div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  typedef typename NumTraits<Scalar>::Real result_type;</div>
<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  EIGEN_STRONG_INLINE result_type& operator() (const Scalar& a)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> numext::real_ref(*const_cast<Scalar*>(&a)); }</div>
<div class="line"><a name="l00397"></a><span class="lineno"> 397</span> };</div>
<div class="line"><a name="l00398"></a><span class="lineno"> 398</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00399"></a><span class="lineno"> 399</span> <span class="keyword">struct </span>functor_traits<scalar_real_ref_op<Scalar> ></div>
<div class="line"><a name="l00400"></a><span class="lineno"> 400</span> { <span class="keyword">enum</span> { Cost = 0, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00401"></a><span class="lineno"> 401</span> </div>
<div class="line"><a name="l00407"></a><span class="lineno"> 407</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00408"></a><span class="lineno"> 408</span> <span class="keyword">struct </span>scalar_imag_ref_op {</div>
<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_imag_ref_op)</div>
<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  typedef typename NumTraits<Scalar>::Real result_type;</div>
<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  EIGEN_STRONG_INLINE result_type& operator() (const Scalar& a)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> numext::imag_ref(*const_cast<Scalar*>(&a)); }</div>
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span> };</div>
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00414"></a><span class="lineno"> 414</span> <span class="keyword">struct </span>functor_traits<scalar_imag_ref_op<Scalar> ></div>
<div class="line"><a name="l00415"></a><span class="lineno"> 415</span> { <span class="keyword">enum</span> { Cost = 0, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00416"></a><span class="lineno"> 416</span> </div>
<div class="line"><a name="l00423"></a><span class="lineno"> 423</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar> <span class="keyword">struct </span>scalar_exp_op {</div>
<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_exp_op)</div>
<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  inline const Scalar operator() (const Scalar& a)<span class="keyword"> const </span>{ <span class="keyword">using</span> std::exp; <span class="keywordflow">return</span> exp(a); }</div>
<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<Scalar>::type Packet;</div>
<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <span class="keyword">inline</span> Packet packetOp(<span class="keyword">const</span> Packet& a)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> internal::pexp(a); }</div>
<div class="line"><a name="l00428"></a><span class="lineno"> 428</span> };</div>
<div class="line"><a name="l00429"></a><span class="lineno"> 429</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00430"></a><span class="lineno"> 430</span> <span class="keyword">struct </span>functor_traits<scalar_exp_op<Scalar> ></div>
<div class="line"><a name="l00431"></a><span class="lineno"> 431</span> { <span class="keyword">enum</span> { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess = packet_traits<Scalar>::HasExp }; };</div>
<div class="line"><a name="l00432"></a><span class="lineno"> 432</span> </div>
<div class="line"><a name="l00439"></a><span class="lineno"> 439</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar> <span class="keyword">struct </span>scalar_log_op {</div>
<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_log_op)</div>
<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  inline const Scalar operator() (const Scalar& a)<span class="keyword"> const </span>{ <span class="keyword">using</span> std::log; <span class="keywordflow">return</span> log(a); }</div>
<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<Scalar>::type Packet;</div>
<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="keyword">inline</span> Packet packetOp(<span class="keyword">const</span> Packet& a)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> internal::plog(a); }</div>
<div class="line"><a name="l00444"></a><span class="lineno"> 444</span> };</div>
<div class="line"><a name="l00445"></a><span class="lineno"> 445</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00446"></a><span class="lineno"> 446</span> <span class="keyword">struct </span>functor_traits<scalar_log_op<Scalar> ></div>
<div class="line"><a name="l00447"></a><span class="lineno"> 447</span> { <span class="keyword">enum</span> { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess = packet_traits<Scalar>::HasLog }; };</div>
<div class="line"><a name="l00448"></a><span class="lineno"> 448</span> </div>
<div class="line"><a name="l00454"></a><span class="lineno"> 454</span> <span class="comment">/* NOTE why doing the pset1() in packetOp *is* an optimization ?</span></div>
<div class="line"><a name="l00455"></a><span class="lineno"> 455</span> <span class="comment"> * indeed it seems better to declare m_other as a Packet and do the pset1() once</span></div>
<div class="line"><a name="l00456"></a><span class="lineno"> 456</span> <span class="comment"> * in the constructor. However, in practice:</span></div>
<div class="line"><a name="l00457"></a><span class="lineno"> 457</span> <span class="comment"> * - GCC does not like m_other as a Packet and generate a load every time it needs it</span></div>
<div class="line"><a name="l00458"></a><span class="lineno"> 458</span> <span class="comment"> * - on the other hand GCC is able to moves the pset1() outside the loop :)</span></div>
<div class="line"><a name="l00459"></a><span class="lineno"> 459</span> <span class="comment"> * - simpler code ;)</span></div>
<div class="line"><a name="l00460"></a><span class="lineno"> 460</span> <span class="comment"> * (ICC and gcc 4.4 seems to perform well in both cases, the issue is visible with y = a*x + b*y)</span></div>
<div class="line"><a name="l00461"></a><span class="lineno"> 461</span> <span class="comment"> */</span></div>
<div class="line"><a name="l00462"></a><span class="lineno"> 462</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00463"></a><span class="lineno"> 463</span> <span class="keyword">struct </span>scalar_multiple_op {</div>
<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<Scalar>::type Packet;</div>
<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="comment">// FIXME default copy constructors seems bugged with std::complex<></span></div>
<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  EIGEN_STRONG_INLINE scalar_multiple_op(<span class="keyword">const</span> scalar_multiple_op& other) : m_other(other.m_other) { }</div>
<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  EIGEN_STRONG_INLINE scalar_multiple_op(<span class="keyword">const</span> Scalar& other) : m_other(other) { }</div>
<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  EIGEN_STRONG_INLINE Scalar operator() (<span class="keyword">const</span> Scalar& a)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> a * m_other; }</div>
<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Packet packetOp(<span class="keyword">const</span> Packet& a)<span class="keyword"> const</span></div>
<div class="line"><a name="l00470"></a><span class="lineno"> 470</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> internal::pmul(a, pset1<Packet>(m_other)); }</div>
<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="keyword">typename</span> add_const_on_value_type<typename NumTraits<Scalar>::Nested>::type m_other;</div>
<div class="line"><a name="l00472"></a><span class="lineno"> 472</span> };</div>
<div class="line"><a name="l00473"></a><span class="lineno"> 473</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00474"></a><span class="lineno"> 474</span> <span class="keyword">struct </span>functor_traits<scalar_multiple_op<Scalar> ></div>
<div class="line"><a name="l00475"></a><span class="lineno"> 475</span> { <span class="keyword">enum</span> { Cost = NumTraits<Scalar>::MulCost, PacketAccess = packet_traits<Scalar>::HasMul }; };</div>
<div class="line"><a name="l00476"></a><span class="lineno"> 476</span> </div>
<div class="line"><a name="l00477"></a><span class="lineno"> 477</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar1, <span class="keyword">typename</span> Scalar2></div>
<div class="line"><a name="l00478"></a><span class="lineno"> 478</span> <span class="keyword">struct </span>scalar_multiple2_op {</div>
<div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> scalar_product_traits<Scalar1,Scalar2>::ReturnType result_type;</div>
<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  EIGEN_STRONG_INLINE scalar_multiple2_op(<span class="keyword">const</span> scalar_multiple2_op& other) : m_other(other.m_other) { }</div>
<div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  EIGEN_STRONG_INLINE scalar_multiple2_op(<span class="keyword">const</span> Scalar2& other) : m_other(other) { }</div>
<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  EIGEN_STRONG_INLINE result_type operator() (<span class="keyword">const</span> Scalar1& a)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> a * m_other; }</div>
<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="keyword">typename</span> add_const_on_value_type<typename NumTraits<Scalar2>::Nested>::type m_other;</div>
<div class="line"><a name="l00484"></a><span class="lineno"> 484</span> };</div>
<div class="line"><a name="l00485"></a><span class="lineno"> 485</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar1,<span class="keyword">typename</span> Scalar2></div>
<div class="line"><a name="l00486"></a><span class="lineno"> 486</span> <span class="keyword">struct </span>functor_traits<scalar_multiple2_op<Scalar1,Scalar2> ></div>
<div class="line"><a name="l00487"></a><span class="lineno"> 487</span> { <span class="keyword">enum</span> { Cost = NumTraits<Scalar1>::MulCost, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00488"></a><span class="lineno"> 488</span> </div>
<div class="line"><a name="l00497"></a><span class="lineno"> 497</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00498"></a><span class="lineno"> 498</span> <span class="keyword">struct </span>scalar_quotient1_op {</div>
<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<Scalar>::type Packet;</div>
<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <span class="comment">// FIXME default copy constructors seems bugged with std::complex<></span></div>
<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  EIGEN_STRONG_INLINE scalar_quotient1_op(<span class="keyword">const</span> scalar_quotient1_op& other) : m_other(other.m_other) { }</div>
<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  EIGEN_STRONG_INLINE scalar_quotient1_op(<span class="keyword">const</span> Scalar& other) : m_other(other) {}</div>
<div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  EIGEN_STRONG_INLINE Scalar operator() (<span class="keyword">const</span> Scalar& a)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> a / m_other; }</div>
<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Packet packetOp(<span class="keyword">const</span> Packet& a)<span class="keyword"> const</span></div>
<div class="line"><a name="l00505"></a><span class="lineno"> 505</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> internal::pdiv(a, pset1<Packet>(m_other)); }</div>
<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="keyword">typename</span> add_const_on_value_type<typename NumTraits<Scalar>::Nested>::type m_other;</div>
<div class="line"><a name="l00507"></a><span class="lineno"> 507</span> };</div>
<div class="line"><a name="l00508"></a><span class="lineno"> 508</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00509"></a><span class="lineno"> 509</span> <span class="keyword">struct </span>functor_traits<scalar_quotient1_op<Scalar> ></div>
<div class="line"><a name="l00510"></a><span class="lineno"> 510</span> { <span class="keyword">enum</span> { Cost = 2 * NumTraits<Scalar>::MulCost, PacketAccess = packet_traits<Scalar>::HasDiv }; };</div>
<div class="line"><a name="l00511"></a><span class="lineno"> 511</span> </div>
<div class="line"><a name="l00512"></a><span class="lineno"> 512</span> <span class="comment">// nullary functors</span></div>
<div class="line"><a name="l00513"></a><span class="lineno"> 513</span> </div>
<div class="line"><a name="l00514"></a><span class="lineno"> 514</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00515"></a><span class="lineno"> 515</span> <span class="keyword">struct </span>scalar_constant_op {</div>
<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<Scalar>::type Packet;</div>
<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  EIGEN_STRONG_INLINE scalar_constant_op(<span class="keyword">const</span> scalar_constant_op& other) : m_other(other.m_other) { }</div>
<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  EIGEN_STRONG_INLINE scalar_constant_op(<span class="keyword">const</span> Scalar& other) : m_other(other) { }</div>
<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Index></div>
<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Scalar operator() (Index, Index = 0)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_other; }</div>
<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Index></div>
<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Packet packetOp(Index, Index = 0)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> internal::pset1<Packet>(m_other); }</div>
<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  <span class="keyword">const</span> Scalar m_other;</div>
<div class="line"><a name="l00524"></a><span class="lineno"> 524</span> };</div>
<div class="line"><a name="l00525"></a><span class="lineno"> 525</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00526"></a><span class="lineno"> 526</span> <span class="keyword">struct </span>functor_traits<scalar_constant_op<Scalar> ></div>
<div class="line"><a name="l00527"></a><span class="lineno"> 527</span> <span class="comment">// FIXME replace this packet test by a safe one</span></div>
<div class="line"><a name="l00528"></a><span class="lineno"> 528</span> { <span class="keyword">enum</span> { Cost = 1, PacketAccess = packet_traits<Scalar>::Vectorizable, IsRepeatable = <span class="keyword">true</span> }; };</div>
<div class="line"><a name="l00529"></a><span class="lineno"> 529</span> </div>
<div class="line"><a name="l00530"></a><span class="lineno"> 530</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar> <span class="keyword">struct </span>scalar_identity_op {</div>
<div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_identity_op)</div>
<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  template<typename Index></div>
<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  EIGEN_STRONG_INLINE const Scalar operator() (Index row, Index col)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> row==col ? Scalar(1) : Scalar(0); }</div>
<div class="line"><a name="l00534"></a><span class="lineno"> 534</span> };</div>
<div class="line"><a name="l00535"></a><span class="lineno"> 535</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00536"></a><span class="lineno"> 536</span> <span class="keyword">struct </span>functor_traits<scalar_identity_op<Scalar> ></div>
<div class="line"><a name="l00537"></a><span class="lineno"> 537</span> { <span class="keyword">enum</span> { Cost = NumTraits<Scalar>::AddCost, PacketAccess = <span class="keyword">false</span>, IsRepeatable = <span class="keyword">true</span> }; };</div>
<div class="line"><a name="l00538"></a><span class="lineno"> 538</span> </div>
<div class="line"><a name="l00539"></a><span class="lineno"> 539</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Scalar, <span class="keywordtype">bool</span> RandomAccess> <span class="keyword">struct </span>linspaced_op_impl;</div>
<div class="line"><a name="l00540"></a><span class="lineno"> 540</span> </div>
<div class="line"><a name="l00541"></a><span class="lineno"> 541</span> <span class="comment">// linear access for packet ops:</span></div>
<div class="line"><a name="l00542"></a><span class="lineno"> 542</span> <span class="comment">// 1) initialization</span></div>
<div class="line"><a name="l00543"></a><span class="lineno"> 543</span> <span class="comment">// base = [low, ..., low] + ([step, ..., step] * [-size, ..., 0])</span></div>
<div class="line"><a name="l00544"></a><span class="lineno"> 544</span> <span class="comment">// 2) each step (where size is 1 for coeff access or PacketSize for packet access)</span></div>
<div class="line"><a name="l00545"></a><span class="lineno"> 545</span> <span class="comment">// base += [size*step, ..., size*step]</span></div>
<div class="line"><a name="l00546"></a><span class="lineno"> 546</span> <span class="comment">//</span></div>
<div class="line"><a name="l00547"></a><span class="lineno"> 547</span> <span class="comment">// TODO: Perhaps it's better to initialize lazily (so not in the constructor but in packetOp)</span></div>
<div class="line"><a name="l00548"></a><span class="lineno"> 548</span> <span class="comment">// in order to avoid the padd() in operator() ?</span></div>
<div class="line"><a name="l00549"></a><span class="lineno"> 549</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00550"></a><span class="lineno"> 550</span> <span class="keyword">struct </span>linspaced_op_impl<Scalar,false></div>
<div class="line"><a name="l00551"></a><span class="lineno"> 551</span> {</div>
<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<Scalar>::type Packet;</div>
<div class="line"><a name="l00553"></a><span class="lineno"> 553</span> </div>
<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  linspaced_op_impl(<span class="keyword">const</span> Scalar& low, <span class="keyword">const</span> Scalar& step) :</div>
<div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  m_low(low), m_step(step),</div>
<div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  m_packetStep(pset1<Packet>(packet_traits<Scalar>::size*step)),</div>
<div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  m_base(padd(pset1<Packet>(low), pmul(pset1<Packet>(step),plset<Scalar>(-packet_traits<Scalar>::size)))) {}</div>
<div class="line"><a name="l00558"></a><span class="lineno"> 558</span> </div>
<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Index></div>
<div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Scalar operator() (Index i)<span class="keyword"> const </span></div>
<div class="line"><a name="l00561"></a><span class="lineno"> 561</span> <span class="keyword"> </span>{ </div>
<div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  m_base = padd(m_base, pset1<Packet>(m_step));</div>
<div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  <span class="keywordflow">return</span> m_low+Scalar(i)*m_step; </div>
<div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  }</div>
<div class="line"><a name="l00565"></a><span class="lineno"> 565</span> </div>
<div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Index></div>
<div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Packet packetOp(Index)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_base = padd(m_base,m_packetStep); }</div>
<div class="line"><a name="l00568"></a><span class="lineno"> 568</span> </div>
<div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  <span class="keyword">const</span> Scalar m_low;</div>
<div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <span class="keyword">const</span> Scalar m_step;</div>
<div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  <span class="keyword">const</span> Packet m_packetStep;</div>
<div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <span class="keyword">mutable</span> Packet m_base;</div>
<div class="line"><a name="l00573"></a><span class="lineno"> 573</span> };</div>
<div class="line"><a name="l00574"></a><span class="lineno"> 574</span> </div>
<div class="line"><a name="l00575"></a><span class="lineno"> 575</span> <span class="comment">// random access for packet ops:</span></div>
<div class="line"><a name="l00576"></a><span class="lineno"> 576</span> <span class="comment">// 1) each step</span></div>
<div class="line"><a name="l00577"></a><span class="lineno"> 577</span> <span class="comment">// [low, ..., low] + ( [step, ..., step] * ( [i, ..., i] + [0, ..., size] ) )</span></div>
<div class="line"><a name="l00578"></a><span class="lineno"> 578</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00579"></a><span class="lineno"> 579</span> <span class="keyword">struct </span>linspaced_op_impl<Scalar,true></div>
<div class="line"><a name="l00580"></a><span class="lineno"> 580</span> {</div>
<div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<Scalar>::type Packet;</div>
<div class="line"><a name="l00582"></a><span class="lineno"> 582</span> </div>
<div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  linspaced_op_impl(<span class="keyword">const</span> Scalar& low, <span class="keyword">const</span> Scalar& step) :</div>
<div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  m_low(low), m_step(step),</div>
<div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  m_lowPacket(pset1<Packet>(m_low)), m_stepPacket(pset1<Packet>(m_step)), m_interPacket(plset<Scalar>(0)) {}</div>
<div class="line"><a name="l00586"></a><span class="lineno"> 586</span> </div>
<div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Index></div>
<div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Scalar operator() (Index i)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_low+i*m_step; }</div>
<div class="line"><a name="l00589"></a><span class="lineno"> 589</span> </div>
<div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Index></div>
<div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Packet packetOp(Index i)<span class="keyword"> const</span></div>
<div class="line"><a name="l00592"></a><span class="lineno"> 592</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> internal::padd(m_lowPacket, pmul(m_stepPacket, padd(pset1<Packet>(i),m_interPacket))); }</div>
<div class="line"><a name="l00593"></a><span class="lineno"> 593</span> </div>
<div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="keyword">const</span> Scalar m_low;</div>
<div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  <span class="keyword">const</span> Scalar m_step;</div>
<div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  <span class="keyword">const</span> Packet m_lowPacket;</div>
<div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  <span class="keyword">const</span> Packet m_stepPacket;</div>
<div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  <span class="keyword">const</span> Packet m_interPacket;</div>
<div class="line"><a name="l00599"></a><span class="lineno"> 599</span> };</div>
<div class="line"><a name="l00600"></a><span class="lineno"> 600</span> </div>
<div class="line"><a name="l00601"></a><span class="lineno"> 601</span> <span class="comment">// ----- Linspace functor ----------------------------------------------------------------</span></div>
<div class="line"><a name="l00602"></a><span class="lineno"> 602</span> </div>
<div class="line"><a name="l00603"></a><span class="lineno"> 603</span> <span class="comment">// Forward declaration (we default to random access which does not really give</span></div>
<div class="line"><a name="l00604"></a><span class="lineno"> 604</span> <span class="comment">// us a speed gain when using packet access but it allows to use the functor in</span></div>
<div class="line"><a name="l00605"></a><span class="lineno"> 605</span> <span class="comment">// nested expressions).</span></div>
<div class="line"><a name="l00606"></a><span class="lineno"> 606</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Scalar, <span class="keywordtype">bool</span> RandomAccess = true> <span class="keyword">struct </span>linspaced_op;</div>
<div class="line"><a name="l00607"></a><span class="lineno"> 607</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Scalar, <span class="keywordtype">bool</span> RandomAccess> <span class="keyword">struct </span>functor_traits< linspaced_op<Scalar,RandomAccess> ></div>
<div class="line"><a name="l00608"></a><span class="lineno"> 608</span> { <span class="keyword">enum</span> { Cost = 1, PacketAccess = packet_traits<Scalar>::HasSetLinear, IsRepeatable = <span class="keyword">true</span> }; };</div>
<div class="line"><a name="l00609"></a><span class="lineno"> 609</span> <span class="keyword">template</span> <<span class="keyword">typename</span> Scalar, <span class="keywordtype">bool</span> RandomAccess> <span class="keyword">struct </span>linspaced_op</div>
<div class="line"><a name="l00610"></a><span class="lineno"> 610</span> {</div>
<div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<Scalar>::type Packet;</div>
<div class="line"><a name="l00612"></a><span class="lineno"> 612</span>  linspaced_op(<span class="keyword">const</span> Scalar& low, <span class="keyword">const</span> Scalar& high, DenseIndex num_steps) : impl((num_steps==1 ? high : low), (num_steps==1 ? Scalar() : (high-low)/(num_steps-1))) {}</div>
<div class="line"><a name="l00613"></a><span class="lineno"> 613</span> </div>
<div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Index></div>
<div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Scalar operator() (Index i)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> impl(i); }</div>
<div class="line"><a name="l00616"></a><span class="lineno"> 616</span> </div>
<div class="line"><a name="l00617"></a><span class="lineno"> 617</span>  <span class="comment">// We need this function when assigning e.g. a RowVectorXd to a MatrixXd since</span></div>
<div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  <span class="comment">// there row==0 and col is used for the actual iteration.</span></div>
<div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Index></div>
<div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Scalar operator() (Index row, Index col)<span class="keyword"> const </span></div>
<div class="line"><a name="l00621"></a><span class="lineno"> 621</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  eigen_assert(col==0 || row==0);</div>
<div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  <span class="keywordflow">return</span> impl(col + row);</div>
<div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  }</div>
<div class="line"><a name="l00625"></a><span class="lineno"> 625</span> </div>
<div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Index></div>
<div class="line"><a name="l00627"></a><span class="lineno"> 627</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Packet packetOp(Index i)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> impl.packetOp(i); }</div>
<div class="line"><a name="l00628"></a><span class="lineno"> 628</span> </div>
<div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  <span class="comment">// We need this function when assigning e.g. a RowVectorXd to a MatrixXd since</span></div>
<div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  <span class="comment">// there row==0 and col is used for the actual iteration.</span></div>
<div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Index></div>
<div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  EIGEN_STRONG_INLINE <span class="keyword">const</span> Packet packetOp(Index row, Index col)<span class="keyword"> const</span></div>
<div class="line"><a name="l00633"></a><span class="lineno"> 633</span> <span class="keyword"> </span>{</div>
<div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  eigen_assert(col==0 || row==0);</div>
<div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  <span class="keywordflow">return</span> impl.packetOp(col + row);</div>
<div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  }</div>
<div class="line"><a name="l00637"></a><span class="lineno"> 637</span> </div>
<div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  <span class="comment">// This proxy object handles the actual required temporaries, the different</span></div>
<div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  <span class="comment">// implementations (random vs. sequential access) as well as the</span></div>
<div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  <span class="comment">// correct piping to size 2/4 packet operations.</span></div>
<div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  <span class="keyword">const</span> linspaced_op_impl<Scalar,RandomAccess> impl;</div>
<div class="line"><a name="l00642"></a><span class="lineno"> 642</span> };</div>
<div class="line"><a name="l00643"></a><span class="lineno"> 643</span> </div>
<div class="line"><a name="l00644"></a><span class="lineno"> 644</span> <span class="comment">// all functors allow linear access, except scalar_identity_op. So we fix here a quick meta</span></div>
<div class="line"><a name="l00645"></a><span class="lineno"> 645</span> <span class="comment">// to indicate whether a functor allows linear access, just always answering 'yes' except for</span></div>
<div class="line"><a name="l00646"></a><span class="lineno"> 646</span> <span class="comment">// scalar_identity_op.</span></div>
<div class="line"><a name="l00647"></a><span class="lineno"> 647</span> <span class="comment">// FIXME move this to functor_traits adding a functor_default</span></div>
<div class="line"><a name="l00648"></a><span class="lineno"> 648</span> <span class="keyword">template</span><<span class="keyword">typename</span> Functor> <span class="keyword">struct </span>functor_has_linear_access { <span class="keyword">enum</span> { ret = 1 }; };</div>
<div class="line"><a name="l00649"></a><span class="lineno"> 649</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar> <span class="keyword">struct </span>functor_has_linear_access<scalar_identity_op<Scalar> > { <span class="keyword">enum</span> { ret = 0 }; };</div>
<div class="line"><a name="l00650"></a><span class="lineno"> 650</span> </div>
<div class="line"><a name="l00651"></a><span class="lineno"> 651</span> <span class="comment">// In Eigen, any binary op (Product, CwiseBinaryOp) require the Lhs and Rhs to have the same scalar type, except for multiplication</span></div>
<div class="line"><a name="l00652"></a><span class="lineno"> 652</span> <span class="comment">// where the mixing of different types is handled by scalar_product_traits</span></div>
<div class="line"><a name="l00653"></a><span class="lineno"> 653</span> <span class="comment">// In particular, real * complex<real> is allowed.</span></div>
<div class="line"><a name="l00654"></a><span class="lineno"> 654</span> <span class="comment">// FIXME move this to functor_traits adding a functor_default</span></div>
<div class="line"><a name="l00655"></a><span class="lineno"> 655</span> <span class="keyword">template</span><<span class="keyword">typename</span> Functor> <span class="keyword">struct </span>functor_is_product_like { <span class="keyword">enum</span> { ret = 0 }; };</div>
<div class="line"><a name="l00656"></a><span class="lineno"> 656</span> <span class="keyword">template</span><<span class="keyword">typename</span> LhsScalar,<span class="keyword">typename</span> RhsScalar> <span class="keyword">struct </span>functor_is_product_like<scalar_product_op<LhsScalar,RhsScalar> > { <span class="keyword">enum</span> { ret = 1 }; };</div>
<div class="line"><a name="l00657"></a><span class="lineno"> 657</span> <span class="keyword">template</span><<span class="keyword">typename</span> LhsScalar,<span class="keyword">typename</span> RhsScalar> <span class="keyword">struct </span>functor_is_product_like<scalar_conj_product_op<LhsScalar,RhsScalar> > { <span class="keyword">enum</span> { ret = 1 }; };</div>
<div class="line"><a name="l00658"></a><span class="lineno"> 658</span> <span class="keyword">template</span><<span class="keyword">typename</span> LhsScalar,<span class="keyword">typename</span> RhsScalar> <span class="keyword">struct </span>functor_is_product_like<scalar_quotient_op<LhsScalar,RhsScalar> > { <span class="keyword">enum</span> { ret = 1 }; };</div>
<div class="line"><a name="l00659"></a><span class="lineno"> 659</span> </div>
<div class="line"><a name="l00660"></a><span class="lineno"> 660</span> </div>
<div class="line"><a name="l00665"></a><span class="lineno"> 665</span> <span class="comment">/* If you wonder why doing the pset1() in packetOp() is an optimization check scalar_multiple_op */</span></div>
<div class="line"><a name="l00666"></a><span class="lineno"> 666</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00667"></a><span class="lineno"> 667</span> <span class="keyword">struct </span>scalar_add_op {</div>
<div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<Scalar>::type Packet;</div>
<div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <span class="comment">// FIXME default copy constructors seems bugged with std::complex<></span></div>
<div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  <span class="keyword">inline</span> scalar_add_op(<span class="keyword">const</span> scalar_add_op& other) : m_other(other.m_other) { }</div>
<div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  <span class="keyword">inline</span> scalar_add_op(<span class="keyword">const</span> Scalar& other) : m_other(other) { }</div>
<div class="line"><a name="l00672"></a><span class="lineno"> 672</span>  <span class="keyword">inline</span> Scalar operator() (<span class="keyword">const</span> Scalar& a)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> a + m_other; }</div>
<div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  <span class="keyword">inline</span> <span class="keyword">const</span> Packet packetOp(<span class="keyword">const</span> Packet& a)<span class="keyword"> const</span></div>
<div class="line"><a name="l00674"></a><span class="lineno"> 674</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> internal::padd(a, pset1<Packet>(m_other)); }</div>
<div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  <span class="keyword">const</span> Scalar m_other;</div>
<div class="line"><a name="l00676"></a><span class="lineno"> 676</span> };</div>
<div class="line"><a name="l00677"></a><span class="lineno"> 677</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00678"></a><span class="lineno"> 678</span> <span class="keyword">struct </span>functor_traits<scalar_add_op<Scalar> ></div>
<div class="line"><a name="l00679"></a><span class="lineno"> 679</span> { <span class="keyword">enum</span> { Cost = NumTraits<Scalar>::AddCost, PacketAccess = packet_traits<Scalar>::HasAdd }; };</div>
<div class="line"><a name="l00680"></a><span class="lineno"> 680</span> </div>
<div class="line"><a name="l00685"></a><span class="lineno"> 685</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar> <span class="keyword">struct </span>scalar_sqrt_op {</div>
<div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_sqrt_op)</div>
<div class="line"><a name="l00687"></a><span class="lineno"> 687</span>  inline const Scalar operator() (const Scalar& a)<span class="keyword"> const </span>{ <span class="keyword">using</span> std::sqrt; <span class="keywordflow">return</span> sqrt(a); }</div>
<div class="line"><a name="l00688"></a><span class="lineno"> 688</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<Scalar>::type Packet;</div>
<div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  <span class="keyword">inline</span> Packet packetOp(<span class="keyword">const</span> Packet& a)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> internal::psqrt(a); }</div>
<div class="line"><a name="l00690"></a><span class="lineno"> 690</span> };</div>
<div class="line"><a name="l00691"></a><span class="lineno"> 691</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00692"></a><span class="lineno"> 692</span> <span class="keyword">struct </span>functor_traits<scalar_sqrt_op<Scalar> ></div>
<div class="line"><a name="l00693"></a><span class="lineno"> 693</span> { <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00694"></a><span class="lineno"> 694</span>  Cost = 5 * NumTraits<Scalar>::MulCost,</div>
<div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  PacketAccess = packet_traits<Scalar>::HasSqrt</div>
<div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  };</div>
<div class="line"><a name="l00697"></a><span class="lineno"> 697</span> };</div>
<div class="line"><a name="l00698"></a><span class="lineno"> 698</span> </div>
<div class="line"><a name="l00703"></a><span class="lineno"> 703</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar> <span class="keyword">struct </span>scalar_cos_op {</div>
<div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_cos_op)</div>
<div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  inline Scalar operator() (const Scalar& a)<span class="keyword"> const </span>{ <span class="keyword">using</span> std::cos; <span class="keywordflow">return</span> cos(a); }</div>
<div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<Scalar>::type Packet;</div>
<div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  <span class="keyword">inline</span> Packet packetOp(<span class="keyword">const</span> Packet& a)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> internal::pcos(a); }</div>
<div class="line"><a name="l00708"></a><span class="lineno"> 708</span> };</div>
<div class="line"><a name="l00709"></a><span class="lineno"> 709</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00710"></a><span class="lineno"> 710</span> <span class="keyword">struct </span>functor_traits<scalar_cos_op<Scalar> ></div>
<div class="line"><a name="l00711"></a><span class="lineno"> 711</span> {</div>
<div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  Cost = 5 * NumTraits<Scalar>::MulCost,</div>
<div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  PacketAccess = packet_traits<Scalar>::HasCos</div>
<div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  };</div>
<div class="line"><a name="l00716"></a><span class="lineno"> 716</span> };</div>
<div class="line"><a name="l00717"></a><span class="lineno"> 717</span> </div>
<div class="line"><a name="l00722"></a><span class="lineno"> 722</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar> <span class="keyword">struct </span>scalar_sin_op {</div>
<div class="line"><a name="l00723"></a><span class="lineno"> 723</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_sin_op)</div>
<div class="line"><a name="l00724"></a><span class="lineno"> 724</span>  inline const Scalar operator() (const Scalar& a)<span class="keyword"> const </span>{ <span class="keyword">using</span> std::sin; <span class="keywordflow">return</span> sin(a); }</div>
<div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<Scalar>::type Packet;</div>
<div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  <span class="keyword">inline</span> Packet packetOp(<span class="keyword">const</span> Packet& a)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> internal::psin(a); }</div>
<div class="line"><a name="l00727"></a><span class="lineno"> 727</span> };</div>
<div class="line"><a name="l00728"></a><span class="lineno"> 728</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00729"></a><span class="lineno"> 729</span> <span class="keyword">struct </span>functor_traits<scalar_sin_op<Scalar> ></div>
<div class="line"><a name="l00730"></a><span class="lineno"> 730</span> {</div>
<div class="line"><a name="l00731"></a><span class="lineno"> 731</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  Cost = 5 * NumTraits<Scalar>::MulCost,</div>
<div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  PacketAccess = packet_traits<Scalar>::HasSin</div>
<div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  };</div>
<div class="line"><a name="l00735"></a><span class="lineno"> 735</span> };</div>
<div class="line"><a name="l00736"></a><span class="lineno"> 736</span> </div>
<div class="line"><a name="l00737"></a><span class="lineno"> 737</span> </div>
<div class="line"><a name="l00742"></a><span class="lineno"> 742</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar> <span class="keyword">struct </span>scalar_tan_op {</div>
<div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_tan_op)</div>
<div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  inline const Scalar operator() (const Scalar& a)<span class="keyword"> const </span>{ <span class="keyword">using</span> std::tan; <span class="keywordflow">return</span> tan(a); }</div>
<div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<Scalar>::type Packet;</div>
<div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  <span class="keyword">inline</span> Packet packetOp(<span class="keyword">const</span> Packet& a)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> internal::ptan(a); }</div>
<div class="line"><a name="l00747"></a><span class="lineno"> 747</span> };</div>
<div class="line"><a name="l00748"></a><span class="lineno"> 748</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00749"></a><span class="lineno"> 749</span> <span class="keyword">struct </span>functor_traits<scalar_tan_op<Scalar> ></div>
<div class="line"><a name="l00750"></a><span class="lineno"> 750</span> {</div>
<div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  Cost = 5 * NumTraits<Scalar>::MulCost,</div>
<div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  PacketAccess = packet_traits<Scalar>::HasTan</div>
<div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  };</div>
<div class="line"><a name="l00755"></a><span class="lineno"> 755</span> };</div>
<div class="line"><a name="l00756"></a><span class="lineno"> 756</span> </div>
<div class="line"><a name="l00761"></a><span class="lineno"> 761</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar> <span class="keyword">struct </span>scalar_acos_op {</div>
<div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_acos_op)</div>
<div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  inline const Scalar operator() (const Scalar& a)<span class="keyword"> const </span>{ <span class="keyword">using</span> std::acos; <span class="keywordflow">return</span> acos(a); }</div>
<div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<Scalar>::type Packet;</div>
<div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  <span class="keyword">inline</span> Packet packetOp(<span class="keyword">const</span> Packet& a)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> internal::pacos(a); }</div>
<div class="line"><a name="l00766"></a><span class="lineno"> 766</span> };</div>
<div class="line"><a name="l00767"></a><span class="lineno"> 767</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00768"></a><span class="lineno"> 768</span> <span class="keyword">struct </span>functor_traits<scalar_acos_op<Scalar> ></div>
<div class="line"><a name="l00769"></a><span class="lineno"> 769</span> {</div>
<div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  Cost = 5 * NumTraits<Scalar>::MulCost,</div>
<div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  PacketAccess = packet_traits<Scalar>::HasACos</div>
<div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  };</div>
<div class="line"><a name="l00774"></a><span class="lineno"> 774</span> };</div>
<div class="line"><a name="l00775"></a><span class="lineno"> 775</span> </div>
<div class="line"><a name="l00780"></a><span class="lineno"> 780</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar> <span class="keyword">struct </span>scalar_asin_op {</div>
<div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_asin_op)</div>
<div class="line"><a name="l00782"></a><span class="lineno"> 782</span>  inline const Scalar operator() (const Scalar& a)<span class="keyword"> const </span>{ <span class="keyword">using</span> std::asin; <span class="keywordflow">return</span> asin(a); }</div>
<div class="line"><a name="l00783"></a><span class="lineno"> 783</span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> packet_traits<Scalar>::type Packet;</div>
<div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  <span class="keyword">inline</span> Packet packetOp(<span class="keyword">const</span> Packet& a)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> internal::pasin(a); }</div>
<div class="line"><a name="l00785"></a><span class="lineno"> 785</span> };</div>
<div class="line"><a name="l00786"></a><span class="lineno"> 786</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00787"></a><span class="lineno"> 787</span> <span class="keyword">struct </span>functor_traits<scalar_asin_op<Scalar> ></div>
<div class="line"><a name="l00788"></a><span class="lineno"> 788</span> {</div>
<div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  <span class="keyword">enum</span> {</div>
<div class="line"><a name="l00790"></a><span class="lineno"> 790</span>  Cost = 5 * NumTraits<Scalar>::MulCost,</div>
<div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  PacketAccess = packet_traits<Scalar>::HasASin</div>
<div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  };</div>
<div class="line"><a name="l00793"></a><span class="lineno"> 793</span> };</div>
<div class="line"><a name="l00794"></a><span class="lineno"> 794</span> </div>
<div class="line"><a name="l00799"></a><span class="lineno"> 799</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00800"></a><span class="lineno"> 800</span> <span class="keyword">struct </span>scalar_pow_op {</div>
<div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  <span class="comment">// FIXME default copy constructors seems bugged with std::complex<></span></div>
<div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  <span class="keyword">inline</span> scalar_pow_op(<span class="keyword">const</span> scalar_pow_op& other) : m_exponent(other.m_exponent) { }</div>
<div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  <span class="keyword">inline</span> scalar_pow_op(<span class="keyword">const</span> Scalar& exponent) : m_exponent(exponent) {}</div>
<div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  <span class="keyword">inline</span> Scalar operator() (<span class="keyword">const</span> Scalar& a)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> numext::pow(a, m_exponent); }</div>
<div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  <span class="keyword">const</span> Scalar m_exponent;</div>
<div class="line"><a name="l00806"></a><span class="lineno"> 806</span> };</div>
<div class="line"><a name="l00807"></a><span class="lineno"> 807</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00808"></a><span class="lineno"> 808</span> <span class="keyword">struct </span>functor_traits<scalar_pow_op<Scalar> ></div>
<div class="line"><a name="l00809"></a><span class="lineno"> 809</span> { <span class="keyword">enum</span> { Cost = 5 * NumTraits<Scalar>::MulCost, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00810"></a><span class="lineno"> 810</span> </div>
<div class="line"><a name="l00815"></a><span class="lineno"> 815</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00816"></a><span class="lineno"> 816</span> <span class="keyword">struct </span>scalar_inverse_mult_op {</div>
<div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  scalar_inverse_mult_op(<span class="keyword">const</span> Scalar& other) : m_other(other) {}</div>
<div class="line"><a name="l00818"></a><span class="lineno"> 818</span>  <span class="keyword">inline</span> Scalar operator() (<span class="keyword">const</span> Scalar& a)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> m_other / a; }</div>
<div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Packet></div>
<div class="line"><a name="l00820"></a><span class="lineno"> 820</span>  <span class="keyword">inline</span> <span class="keyword">const</span> Packet packetOp(<span class="keyword">const</span> Packet& a)<span class="keyword"> const</span></div>
<div class="line"><a name="l00821"></a><span class="lineno"> 821</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> internal::pdiv(pset1<Packet>(m_other),a); }</div>
<div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  Scalar m_other;</div>
<div class="line"><a name="l00823"></a><span class="lineno"> 823</span> };</div>
<div class="line"><a name="l00824"></a><span class="lineno"> 824</span> </div>
<div class="line"><a name="l00829"></a><span class="lineno"> 829</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00830"></a><span class="lineno"> 830</span> <span class="keyword">struct </span>scalar_inverse_op {</div>
<div class="line"><a name="l00831"></a><span class="lineno"> 831</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_inverse_op)</div>
<div class="line"><a name="l00832"></a><span class="lineno"> 832</span>  inline Scalar operator() (const Scalar& a)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> Scalar(1)/a; }</div>
<div class="line"><a name="l00833"></a><span class="lineno"> 833</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Packet></div>
<div class="line"><a name="l00834"></a><span class="lineno"> 834</span>  <span class="keyword">inline</span> <span class="keyword">const</span> Packet packetOp(<span class="keyword">const</span> Packet& a)<span class="keyword"> const</span></div>
<div class="line"><a name="l00835"></a><span class="lineno"> 835</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> internal::pdiv(pset1<Packet>(Scalar(1)),a); }</div>
<div class="line"><a name="l00836"></a><span class="lineno"> 836</span> };</div>
<div class="line"><a name="l00837"></a><span class="lineno"> 837</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00838"></a><span class="lineno"> 838</span> <span class="keyword">struct </span>functor_traits<scalar_inverse_op<Scalar> ></div>
<div class="line"><a name="l00839"></a><span class="lineno"> 839</span> { <span class="keyword">enum</span> { Cost = NumTraits<Scalar>::MulCost, PacketAccess = packet_traits<Scalar>::HasDiv }; };</div>
<div class="line"><a name="l00840"></a><span class="lineno"> 840</span> </div>
<div class="line"><a name="l00845"></a><span class="lineno"> 845</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00846"></a><span class="lineno"> 846</span> <span class="keyword">struct </span>scalar_square_op {</div>
<div class="line"><a name="l00847"></a><span class="lineno"> 847</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_square_op)</div>
<div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  inline Scalar operator() (const Scalar& a)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> a*a; }</div>
<div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Packet></div>
<div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  <span class="keyword">inline</span> <span class="keyword">const</span> Packet packetOp(<span class="keyword">const</span> Packet& a)<span class="keyword"> const</span></div>
<div class="line"><a name="l00851"></a><span class="lineno"> 851</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> internal::pmul(a,a); }</div>
<div class="line"><a name="l00852"></a><span class="lineno"> 852</span> };</div>
<div class="line"><a name="l00853"></a><span class="lineno"> 853</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00854"></a><span class="lineno"> 854</span> <span class="keyword">struct </span>functor_traits<scalar_square_op<Scalar> ></div>
<div class="line"><a name="l00855"></a><span class="lineno"> 855</span> { <span class="keyword">enum</span> { Cost = NumTraits<Scalar>::MulCost, PacketAccess = packet_traits<Scalar>::HasMul }; };</div>
<div class="line"><a name="l00856"></a><span class="lineno"> 856</span> </div>
<div class="line"><a name="l00861"></a><span class="lineno"> 861</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00862"></a><span class="lineno"> 862</span> <span class="keyword">struct </span>scalar_cube_op {</div>
<div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  EIGEN_EMPTY_STRUCT_CTOR(scalar_cube_op)</div>
<div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  inline Scalar operator() (const Scalar& a)<span class="keyword"> const </span>{ <span class="keywordflow">return</span> a*a*a; }</div>
<div class="line"><a name="l00865"></a><span class="lineno"> 865</span>  <span class="keyword">template</span><<span class="keyword">typename</span> Packet></div>
<div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  <span class="keyword">inline</span> <span class="keyword">const</span> Packet packetOp(<span class="keyword">const</span> Packet& a)<span class="keyword"> const</span></div>
<div class="line"><a name="l00867"></a><span class="lineno"> 867</span> <span class="keyword"> </span>{ <span class="keywordflow">return</span> internal::pmul(a,pmul(a,a)); }</div>
<div class="line"><a name="l00868"></a><span class="lineno"> 868</span> };</div>
<div class="line"><a name="l00869"></a><span class="lineno"> 869</span> <span class="keyword">template</span><<span class="keyword">typename</span> Scalar></div>
<div class="line"><a name="l00870"></a><span class="lineno"> 870</span> <span class="keyword">struct </span>functor_traits<scalar_cube_op<Scalar> ></div>
<div class="line"><a name="l00871"></a><span class="lineno"> 871</span> { <span class="keyword">enum</span> { Cost = 2*NumTraits<Scalar>::MulCost, PacketAccess = packet_traits<Scalar>::HasMul }; };</div>
<div class="line"><a name="l00872"></a><span class="lineno"> 872</span> </div>
<div class="line"><a name="l00873"></a><span class="lineno"> 873</span> <span class="comment">// default functor traits for STL functors:</span></div>
<div class="line"><a name="l00874"></a><span class="lineno"> 874</span> </div>
<div class="line"><a name="l00875"></a><span class="lineno"> 875</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00876"></a><span class="lineno"> 876</span> <span class="keyword">struct </span>functor_traits<std::multiplies<T> ></div>
<div class="line"><a name="l00877"></a><span class="lineno"> 877</span> { <span class="keyword">enum</span> { Cost = NumTraits<T>::MulCost, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00878"></a><span class="lineno"> 878</span> </div>
<div class="line"><a name="l00879"></a><span class="lineno"> 879</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00880"></a><span class="lineno"> 880</span> <span class="keyword">struct </span>functor_traits<std::divides<T> ></div>
<div class="line"><a name="l00881"></a><span class="lineno"> 881</span> { <span class="keyword">enum</span> { Cost = NumTraits<T>::MulCost, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00882"></a><span class="lineno"> 882</span> </div>
<div class="line"><a name="l00883"></a><span class="lineno"> 883</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00884"></a><span class="lineno"> 884</span> <span class="keyword">struct </span>functor_traits<std::plus<T> ></div>
<div class="line"><a name="l00885"></a><span class="lineno"> 885</span> { <span class="keyword">enum</span> { Cost = NumTraits<T>::AddCost, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00886"></a><span class="lineno"> 886</span> </div>
<div class="line"><a name="l00887"></a><span class="lineno"> 887</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00888"></a><span class="lineno"> 888</span> <span class="keyword">struct </span>functor_traits<std::minus<T> ></div>
<div class="line"><a name="l00889"></a><span class="lineno"> 889</span> { <span class="keyword">enum</span> { Cost = NumTraits<T>::AddCost, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00890"></a><span class="lineno"> 890</span> </div>
<div class="line"><a name="l00891"></a><span class="lineno"> 891</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00892"></a><span class="lineno"> 892</span> <span class="keyword">struct </span>functor_traits<std::negate<T> ></div>
<div class="line"><a name="l00893"></a><span class="lineno"> 893</span> { <span class="keyword">enum</span> { Cost = NumTraits<T>::AddCost, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00894"></a><span class="lineno"> 894</span> </div>
<div class="line"><a name="l00895"></a><span class="lineno"> 895</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00896"></a><span class="lineno"> 896</span> <span class="keyword">struct </span>functor_traits<std::logical_or<T> ></div>
<div class="line"><a name="l00897"></a><span class="lineno"> 897</span> { <span class="keyword">enum</span> { Cost = 1, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00898"></a><span class="lineno"> 898</span> </div>
<div class="line"><a name="l00899"></a><span class="lineno"> 899</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00900"></a><span class="lineno"> 900</span> <span class="keyword">struct </span>functor_traits<std::logical_and<T> ></div>
<div class="line"><a name="l00901"></a><span class="lineno"> 901</span> { <span class="keyword">enum</span> { Cost = 1, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00902"></a><span class="lineno"> 902</span> </div>
<div class="line"><a name="l00903"></a><span class="lineno"> 903</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00904"></a><span class="lineno"> 904</span> <span class="keyword">struct </span>functor_traits<std::logical_not<T> ></div>
<div class="line"><a name="l00905"></a><span class="lineno"> 905</span> { <span class="keyword">enum</span> { Cost = 1, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00906"></a><span class="lineno"> 906</span> </div>
<div class="line"><a name="l00907"></a><span class="lineno"> 907</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00908"></a><span class="lineno"> 908</span> <span class="keyword">struct </span>functor_traits<std::greater<T> ></div>
<div class="line"><a name="l00909"></a><span class="lineno"> 909</span> { <span class="keyword">enum</span> { Cost = 1, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00910"></a><span class="lineno"> 910</span> </div>
<div class="line"><a name="l00911"></a><span class="lineno"> 911</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00912"></a><span class="lineno"> 912</span> <span class="keyword">struct </span>functor_traits<std::less<T> ></div>
<div class="line"><a name="l00913"></a><span class="lineno"> 913</span> { <span class="keyword">enum</span> { Cost = 1, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00914"></a><span class="lineno"> 914</span> </div>
<div class="line"><a name="l00915"></a><span class="lineno"> 915</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00916"></a><span class="lineno"> 916</span> <span class="keyword">struct </span>functor_traits<std::greater_equal<T> ></div>
<div class="line"><a name="l00917"></a><span class="lineno"> 917</span> { <span class="keyword">enum</span> { Cost = 1, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00918"></a><span class="lineno"> 918</span> </div>
<div class="line"><a name="l00919"></a><span class="lineno"> 919</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00920"></a><span class="lineno"> 920</span> <span class="keyword">struct </span>functor_traits<std::less_equal<T> ></div>
<div class="line"><a name="l00921"></a><span class="lineno"> 921</span> { <span class="keyword">enum</span> { Cost = 1, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00922"></a><span class="lineno"> 922</span> </div>
<div class="line"><a name="l00923"></a><span class="lineno"> 923</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00924"></a><span class="lineno"> 924</span> <span class="keyword">struct </span>functor_traits<std::equal_to<T> ></div>
<div class="line"><a name="l00925"></a><span class="lineno"> 925</span> { <span class="keyword">enum</span> { Cost = 1, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00926"></a><span class="lineno"> 926</span> </div>
<div class="line"><a name="l00927"></a><span class="lineno"> 927</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00928"></a><span class="lineno"> 928</span> <span class="keyword">struct </span>functor_traits<std::not_equal_to<T> ></div>
<div class="line"><a name="l00929"></a><span class="lineno"> 929</span> { <span class="keyword">enum</span> { Cost = 1, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00930"></a><span class="lineno"> 930</span> </div>
<div class="line"><a name="l00931"></a><span class="lineno"> 931</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00932"></a><span class="lineno"> 932</span> <span class="keyword">struct </span>functor_traits<std::binder2nd<T> ></div>
<div class="line"><a name="l00933"></a><span class="lineno"> 933</span> { <span class="keyword">enum</span> { Cost = functor_traits<T>::Cost, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00934"></a><span class="lineno"> 934</span> </div>
<div class="line"><a name="l00935"></a><span class="lineno"> 935</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00936"></a><span class="lineno"> 936</span> <span class="keyword">struct </span>functor_traits<std::binder1st<T> ></div>
<div class="line"><a name="l00937"></a><span class="lineno"> 937</span> { <span class="keyword">enum</span> { Cost = functor_traits<T>::Cost, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00938"></a><span class="lineno"> 938</span> </div>
<div class="line"><a name="l00939"></a><span class="lineno"> 939</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00940"></a><span class="lineno"> 940</span> <span class="keyword">struct </span>functor_traits<std::unary_negate<T> ></div>
<div class="line"><a name="l00941"></a><span class="lineno"> 941</span> { <span class="keyword">enum</span> { Cost = 1 + functor_traits<T>::Cost, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00942"></a><span class="lineno"> 942</span> </div>
<div class="line"><a name="l00943"></a><span class="lineno"> 943</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div>
<div class="line"><a name="l00944"></a><span class="lineno"> 944</span> <span class="keyword">struct </span>functor_traits<std::binary_negate<T> ></div>
<div class="line"><a name="l00945"></a><span class="lineno"> 945</span> { <span class="keyword">enum</span> { Cost = 1 + functor_traits<T>::Cost, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00946"></a><span class="lineno"> 946</span> </div>
<div class="line"><a name="l00947"></a><span class="lineno"> 947</span> <span class="preprocessor">#ifdef EIGEN_STDEXT_SUPPORT</span></div>
<div class="line"><a name="l00948"></a><span class="lineno"> 948</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00949"></a><span class="lineno"> 949</span> <span class="keyword">template</span><<span class="keyword">typename</span> T0,<span class="keyword">typename</span> T1></div>
<div class="line"><a name="l00950"></a><span class="lineno"> 950</span> <span class="keyword">struct </span>functor_traits<std::project1st<T0,T1> ></div>
<div class="line"><a name="l00951"></a><span class="lineno"> 951</span> { <span class="keyword">enum</span> { Cost = 0, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00952"></a><span class="lineno"> 952</span> </div>
<div class="line"><a name="l00953"></a><span class="lineno"> 953</span> <span class="keyword">template</span><<span class="keyword">typename</span> T0,<span class="keyword">typename</span> T1></div>
<div class="line"><a name="l00954"></a><span class="lineno"> 954</span> <span class="keyword">struct </span>functor_traits<std::project2nd<T0,T1> ></div>
<div class="line"><a name="l00955"></a><span class="lineno"> 955</span> { <span class="keyword">enum</span> { Cost = 0, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00956"></a><span class="lineno"> 956</span> </div>
<div class="line"><a name="l00957"></a><span class="lineno"> 957</span> <span class="keyword">template</span><<span class="keyword">typename</span> T0,<span class="keyword">typename</span> T1></div>
<div class="line"><a name="l00958"></a><span class="lineno"> 958</span> <span class="keyword">struct </span>functor_traits<std::select2nd<std::pair<T0,T1> > ></div>
<div class="line"><a name="l00959"></a><span class="lineno"> 959</span> { <span class="keyword">enum</span> { Cost = 0, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00960"></a><span class="lineno"> 960</span> </div>
<div class="line"><a name="l00961"></a><span class="lineno"> 961</span> <span class="keyword">template</span><<span class="keyword">typename</span> T0,<span class="keyword">typename</span> T1></div>
<div class="line"><a name="l00962"></a><span class="lineno"> 962</span> <span class="keyword">struct </span>functor_traits<std::select1st<std::pair<T0,T1> > ></div>
<div class="line"><a name="l00963"></a><span class="lineno"> 963</span> { <span class="keyword">enum</span> { Cost = 0, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00964"></a><span class="lineno"> 964</span> </div>
<div class="line"><a name="l00965"></a><span class="lineno"> 965</span> <span class="keyword">template</span><<span class="keyword">typename</span> T0,<span class="keyword">typename</span> T1></div>
<div class="line"><a name="l00966"></a><span class="lineno"> 966</span> <span class="keyword">struct </span>functor_traits<std::unary_compose<T0,T1> ></div>
<div class="line"><a name="l00967"></a><span class="lineno"> 967</span> { <span class="keyword">enum</span> { Cost = functor_traits<T0>::Cost + functor_traits<T1>::Cost, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00968"></a><span class="lineno"> 968</span> </div>
<div class="line"><a name="l00969"></a><span class="lineno"> 969</span> <span class="keyword">template</span><<span class="keyword">typename</span> T0,<span class="keyword">typename</span> T1,<span class="keyword">typename</span> T2></div>
<div class="line"><a name="l00970"></a><span class="lineno"> 970</span> <span class="keyword">struct </span>functor_traits<std::binary_compose<T0,T1,T2> ></div>
<div class="line"><a name="l00971"></a><span class="lineno"> 971</span> { <span class="keyword">enum</span> { Cost = functor_traits<T0>::Cost + functor_traits<T1>::Cost + functor_traits<T2>::Cost, PacketAccess = <span class="keyword">false</span> }; };</div>
<div class="line"><a name="l00972"></a><span class="lineno"> 972</span> </div>
<div class="line"><a name="l00973"></a><span class="lineno"> 973</span> <span class="preprocessor">#endif // EIGEN_STDEXT_SUPPORT</span></div>
<div class="line"><a name="l00974"></a><span class="lineno"> 974</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00975"></a><span class="lineno"> 975</span> <span class="comment">// allow to add new functors and specializations of functor_traits from outside Eigen.</span></div>
<div class="line"><a name="l00976"></a><span class="lineno"> 976</span> <span class="comment">// this macro is really needed because functor_traits must be specialized after it is declared but before it is used...</span></div>
<div class="line"><a name="l00977"></a><span class="lineno"> 977</span> <span class="preprocessor">#ifdef EIGEN_FUNCTORS_PLUGIN</span></div>
<div class="line"><a name="l00978"></a><span class="lineno"> 978</span> <span class="preprocessor"></span><span class="preprocessor">#include EIGEN_FUNCTORS_PLUGIN</span></div>
<div class="line"><a name="l00979"></a><span class="lineno"> 979</span> <span class="preprocessor"></span><span class="preprocessor">#endif</span></div>
<div class="line"><a name="l00980"></a><span class="lineno"> 980</span> <span class="preprocessor"></span></div>
<div class="line"><a name="l00981"></a><span class="lineno"> 981</span> } <span class="comment">// end namespace internal</span></div>
<div class="line"><a name="l00982"></a><span class="lineno"> 982</span> </div>
<div class="line"><a name="l00983"></a><span class="lineno"> 983</span> } <span class="comment">// end namespace Eigen</span></div>
<div class="line"><a name="l00984"></a><span class="lineno"> 984</span> </div>
<div class="line"><a name="l00985"></a><span class="lineno"> 985</span> <span class="preprocessor">#endif // EIGEN_FUNCTORS_H</span></div>
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