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| <div class="title">ebpps_sketch_impl.hpp</div> </div> |
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| <div class="contents"> |
| <div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div> |
| <div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Licensed to the Apache Software Foundation (ASF) under one</span></div> |
| <div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> * or more contributor license agreements. See the NOTICE file</span></div> |
| <div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * distributed with this work for additional information</span></div> |
| <div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> * regarding copyright ownership. The ASF licenses this file</span></div> |
| <div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * to you under the Apache License, Version 2.0 (the</span></div> |
| <div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * "License"); you may not use this file except in compliance</span></div> |
| <div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * with the License. You may obtain a copy of the License at</span></div> |
| <div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> *</span></div> |
| <div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * http://www.apache.org/licenses/LICENSE-2.0</span></div> |
| <div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> *</span></div> |
| <div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> * Unless required by applicable law or agreed to in writing,</span></div> |
| <div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * software distributed under the License is distributed on an</span></div> |
| <div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY</span></div> |
| <div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> * KIND, either express or implied. See the License for the</span></div> |
| <div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * specific language governing permissions and limitations</span></div> |
| <div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * under the License.</span></div> |
| <div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> */</span></div> |
| <div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  </div> |
| <div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#ifndef _EBPPS_SKETCH_IMPL_HPP_</span></div> |
| <div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#define _EBPPS_SKETCH_IMPL_HPP_</span></div> |
| <div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  </div> |
| <div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="preprocessor">#include <memory></span></div> |
| <div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include <sstream></span></div> |
| <div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include <cmath></span></div> |
| <div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include <random></span></div> |
| <div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include <algorithm></span></div> |
| <div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include <stdexcept></span></div> |
| <div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include <utility></span></div> |
| <div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  </div> |
| <div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "ebpps_sketch.hpp"</span></div> |
| <div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  </div> |
| <div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="keyword">namespace </span><a class="code" href="namespacedatasketches.html">datasketches</a> {</div> |
| <div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  </div> |
| <div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00036"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#a15f1a34587bbc0a93cf97dfc2cc6c205"> 36</a></span> <a class="code" href="classdatasketches_1_1ebpps__sketch.html#a15f1a34587bbc0a93cf97dfc2cc6c205">ebpps_sketch<T, A>::ebpps_sketch</a>(uint32_t k, <span class="keyword">const</span> A& allocator) :</div> |
| <div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  allocator_(allocator),</div> |
| <div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  k_(k),</div> |
| <div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  n_(0),</div> |
| <div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  cumulative_wt_(0.0),</div> |
| <div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  wt_max_(0.0),</div> |
| <div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  rho_(1.0),</div> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  sample_(check_k(k), allocator)</div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  {}</div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  </div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <a class="code" href="classdatasketches_1_1ebpps__sketch.html#a15f1a34587bbc0a93cf97dfc2cc6c205">ebpps_sketch<T,A>::ebpps_sketch</a>(uint32_t k, uint64_t n, <span class="keywordtype">double</span> cumulative_wt,</div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordtype">double</span> wt_max, <span class="keywordtype">double</span> rho,</div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  ebpps_sample<T,A>&& sample, <span class="keyword">const</span> A& allocator) :</div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  allocator_(allocator),</div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  k_(k),</div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  n_(n),</div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  cumulative_wt_(cumulative_wt),</div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  wt_max_(wt_max),</div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  rho_(rho),</div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  sample_(sample)</div> |
| <div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  {}</div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  </div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00060"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#af561f5cd76ff61773713c627bc53b0a2"> 60</a></span> uint32_t <a class="code" href="classdatasketches_1_1ebpps__sketch.html#af561f5cd76ff61773713c627bc53b0a2">ebpps_sketch<T, A>::get_k</a>()<span class="keyword"> const </span>{</div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordflow">return</span> k_;</div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span> }</div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  </div> |
| <div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00065"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#af857be9469a7565252626f27e1f9d74d"> 65</a></span> uint64_t <a class="code" href="classdatasketches_1_1ebpps__sketch.html#af857be9469a7565252626f27e1f9d74d">ebpps_sketch<T, A>::get_n</a>()<span class="keyword"> const </span>{</div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">return</span> n_;</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> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00070"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#ad9a95d52fa46cfa85b026802397b2154"> 70</a></span> <span class="keywordtype">double</span> <a class="code" href="classdatasketches_1_1ebpps__sketch.html#ad9a95d52fa46cfa85b026802397b2154">ebpps_sketch<T, A>::get_c</a>()<span class="keyword"> const </span>{</div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">return</span> sample_.get_c();</div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span> }</div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  </div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00075"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#a8c7e54338adc46e68f7c53676bcecde8"> 75</a></span> <span class="keywordtype">double</span> <a class="code" href="classdatasketches_1_1ebpps__sketch.html#a8c7e54338adc46e68f7c53676bcecde8">ebpps_sketch<T, A>::get_cumulative_weight</a>()<span class="keyword"> const </span>{</div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">return</span> cumulative_wt_;</div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span> }</div> |
| <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  </div> |
| <div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#a5a2b7a58dc85678d08752945ff655362"> 80</a></span> <span class="keywordtype">bool</span> <a class="code" href="classdatasketches_1_1ebpps__sketch.html#a5a2b7a58dc85678d08752945ff655362">ebpps_sketch<T, A>::is_empty</a>()<span class="keyword"> const </span>{</div> |
| <div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keywordflow">return</span> n_ == 0;</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>  </div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00085"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#ad20897c5c8bd47f5d4005989bead0e55"> 85</a></span> <span class="keywordtype">void</span> <a class="code" href="classdatasketches_1_1ebpps__sketch.html#ad20897c5c8bd47f5d4005989bead0e55">ebpps_sketch<T, A>::reset</a>() {</div> |
| <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  n_ = 0;</div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  cumulative_wt_ = 0.0;</div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  wt_max_ = 0.0;</div> |
| <div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  rho_ = 1.0;</div> |
| <div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  sample_.reset();</div> |
| <div class="line"><a name="l00091"></a><span class="lineno"> 91</span> }</div> |
| <div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  </div> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00094"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#aed372241c10ffd041bee85602edb199a"> 94</a></span> string<A> <a class="code" href="classdatasketches_1_1ebpps__sketch.html#aed372241c10ffd041bee85602edb199a">ebpps_sketch<T, A>::to_string</a>()<span class="keyword"> const </span>{</div> |
| <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="comment">// Using a temporary stream for implementation here does not comply with AllocatorAwareContainer requirements.</span></div> |
| <div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">// The stream does not support passing an allocator instance, and alternatives are complicated.</span></div> |
| <div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  std::ostringstream os;</div> |
| <div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  os << <span class="stringliteral">"### EBPPS Sketch SUMMARY:"</span> << std::endl;</div> |
| <div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  os << <span class="stringliteral">" k : "</span> << k_ << std::endl;</div> |
| <div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  os << <span class="stringliteral">" n : "</span> << n_ << std::endl;</div> |
| <div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  os << <span class="stringliteral">" cum. weight : "</span> << cumulative_wt_ << std::endl;</div> |
| <div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  os << <span class="stringliteral">" wt_mac : "</span> << wt_max_ << std::endl;</div> |
| <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  os << <span class="stringliteral">" rho : "</span> << rho_ << std::endl;</div> |
| <div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  os << <span class="stringliteral">" C : "</span> << sample_.get_c() << std::endl;</div> |
| <div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  os << <span class="stringliteral">"### END SKETCH SUMMARY"</span> << std::endl;</div> |
| <div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordflow">return</span> string<A>(os.str().c_str(), allocator_);</div> |
| <div class="line"><a name="l00107"></a><span class="lineno"> 107</span> }</div> |
| <div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  </div> |
| <div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00110"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#a0fa52dd153f1e3cac57d4742e2fef6fc"> 110</a></span> string<A> <a class="code" href="classdatasketches_1_1ebpps__sketch.html#a0fa52dd153f1e3cac57d4742e2fef6fc">ebpps_sketch<T, A>::items_to_string</a>()<span class="keyword"> const </span>{</div> |
| <div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="comment">// Using a temporary stream for implementation here does not comply with AllocatorAwareContainer requirements.</span></div> |
| <div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="comment">// The stream does not support passing an allocator instance, and alternatives are complicated.</span></div> |
| <div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  std::ostringstream os;</div> |
| <div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  os << <span class="stringliteral">"### Sketch Items"</span> << std::endl;</div> |
| <div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  os << sample_.to_string(); <span class="comment">// assumes std::endl at end</span></div> |
| <div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordflow">return</span> string<A>(os.str().c_str(), allocator_);</div> |
| <div class="line"><a name="l00117"></a><span class="lineno"> 117</span> }</div> |
| <div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  </div> |
| <div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00120"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#a9d85cf47c4ecd0580ec623c42006dd1b"> 120</a></span> A <a class="code" href="classdatasketches_1_1ebpps__sketch.html#a9d85cf47c4ecd0580ec623c42006dd1b">ebpps_sketch<T, A>::get_allocator</a>()<span class="keyword"> const </span>{</div> |
| <div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordflow">return</span> allocator_;</div> |
| <div class="line"><a name="l00122"></a><span class="lineno"> 122</span> }</div> |
| <div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  </div> |
| <div class="line"><a name="l00124"></a><span class="lineno"> 124</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00125"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#a1125ed18baf3f257b5796321c7ec0f8f"> 125</a></span> <span class="keywordtype">void</span> <a class="code" href="classdatasketches_1_1ebpps__sketch.html#a1125ed18baf3f257b5796321c7ec0f8f">ebpps_sketch<T, A>::update</a>(<span class="keyword">const</span> T& item, <span class="keywordtype">double</span> weight) {</div> |
| <div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordflow">return</span> internal_update(item, weight);</div> |
| <div class="line"><a name="l00127"></a><span class="lineno"> 127</span> }</div> |
| <div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  </div> |
| <div class="line"><a name="l00129"></a><span class="lineno"> 129</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00130"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#a9c07446b1fd8f8509f754ebaf3f77050"> 130</a></span> <span class="keywordtype">void</span> <a class="code" href="classdatasketches_1_1ebpps__sketch.html#a1125ed18baf3f257b5796321c7ec0f8f">ebpps_sketch<T, A>::update</a>(T&& item, <span class="keywordtype">double</span> weight) {</div> |
| <div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keywordflow">return</span> internal_update(std::move(item), weight);</div> |
| <div class="line"><a name="l00132"></a><span class="lineno"> 132</span> }</div> |
| <div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  </div> |
| <div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00135"></a><span class="lineno"> 135</span> <span class="keyword">template</span><<span class="keyword">typename</span> FwdItem></div> |
| <div class="line"><a name="l00136"></a><span class="lineno"> 136</span> <span class="keywordtype">void</span> <a class="code" href="classdatasketches_1_1ebpps__sketch.html">ebpps_sketch<T, A>::internal_update</a>(FwdItem&& item, <span class="keywordtype">double</span> weight) {</div> |
| <div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordflow">if</span> (weight < 0.0 || std::isnan(weight) || std::isinf(weight)) {</div> |
| <div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">"Item weights must be nonnegative and finite. Found: "</span></div> |
| <div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  + std::to_string(weight));</div> |
| <div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (weight == 0.0) {</div> |
| <div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">return</span>;</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>  <span class="keyword">const</span> <span class="keywordtype">double</span> new_cum_wt = cumulative_wt_ + weight;</div> |
| <div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> new_wt_max = std::max(wt_max_, weight);</div> |
| <div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> new_rho = std::min(1.0 / new_wt_max, k_ / new_cum_wt);</div> |
| <div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  </div> |
| <div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordflow">if</span> (cumulative_wt_ > 0.0)</div> |
| <div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  sample_.downsample(new_rho / rho_);</div> |
| <div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  </div> |
| <div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  ebpps_sample<T,A> tmp(conditional_forward<FwdItem>(item), new_rho * weight, allocator_);</div> |
| <div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  </div> |
| <div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  sample_.merge(tmp);</div> |
| <div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  </div> |
| <div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  cumulative_wt_ = new_cum_wt;</div> |
| <div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  wt_max_ = new_wt_max;</div> |
| <div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  rho_ = new_rho;</div> |
| <div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  ++n_;</div> |
| <div class="line"><a name="l00159"></a><span class="lineno"> 159</span> }</div> |
| <div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  </div> |
| <div class="line"><a name="l00161"></a><span class="lineno"> 161</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00162"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#af55091df8eaaa2a9dc834f1e1d5340e7"> 162</a></span> <span class="keyword">auto</span> <a class="code" href="classdatasketches_1_1ebpps__sketch.html#af55091df8eaaa2a9dc834f1e1d5340e7">ebpps_sketch<T,A>::get_result</a>() const -> result_type {</div> |
| <div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <span class="keywordflow">return</span> sample_.get_sample();</div> |
| <div class="line"><a name="l00164"></a><span class="lineno"> 164</span> }</div> |
| <div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  </div> |
| <div class="line"><a name="l00166"></a><span class="lineno"> 166</span> <span class="comment">/* Merging</span></div> |
| <div class="line"><a name="l00167"></a><span class="lineno"> 167</span> <span class="comment"> * There is a trivial merge algorithm that involves downsampling each sketch A and B</span></div> |
| <div class="line"><a name="l00168"></a><span class="lineno"> 168</span> <span class="comment"> * as A.cum_wt / (A.cum_wt + B.cum_wt) and B.cum_wt / (A.cum_wt + B.cum_wt),</span></div> |
| <div class="line"><a name="l00169"></a><span class="lineno"> 169</span> <span class="comment"> * respectively. That merge does preserve first-order probabilities, specifically</span></div> |
| <div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="comment"> * the probability proportional to size property, and like all other known merge</span></div> |
| <div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="comment"> * algorithms distorts second-order probabilities (co-occurrences). There are</span></div> |
| <div class="line"><a name="l00172"></a><span class="lineno"> 172</span> <span class="comment"> * pathological cases, most obvious with k=2 and A.cum_wt == B.cum_wt where that</span></div> |
| <div class="line"><a name="l00173"></a><span class="lineno"> 173</span> <span class="comment"> * approach will always take exactly 1 item from A and 1 from B, meaning the</span></div> |
| <div class="line"><a name="l00174"></a><span class="lineno"> 174</span> <span class="comment"> * co-occurrence rate for two items from either sketch is guaranteed to be 0.0.</span></div> |
| <div class="line"><a name="l00175"></a><span class="lineno"> 175</span> <span class="comment"> * </span></div> |
| <div class="line"><a name="l00176"></a><span class="lineno"> 176</span> <span class="comment"> * With EBPPS, once an item is accepted into the sketch we no longer need to</span></div> |
| <div class="line"><a name="l00177"></a><span class="lineno"> 177</span> <span class="comment"> * track the item's weight: All accepted items are treated equally. As a result, we</span></div> |
| <div class="line"><a name="l00178"></a><span class="lineno"> 178</span> <span class="comment"> * can take inspiration from the reservoir sampling merge in the datasketches-java</span></div> |
| <div class="line"><a name="l00179"></a><span class="lineno"> 179</span> <span class="comment"> * library. We need to merge the smaller sketch into the larger one, swapping as</span></div> |
| <div class="line"><a name="l00180"></a><span class="lineno"> 180</span> <span class="comment"> * needed to ensure that, at which point we simply call update() with the items</span></div> |
| <div class="line"><a name="l00181"></a><span class="lineno"> 181</span> <span class="comment"> * in the smaller sketch as long as we adjust the weight appropriately.</span></div> |
| <div class="line"><a name="l00182"></a><span class="lineno"> 182</span> <span class="comment"> * Merging smaller into larger is essential to ensure that no item has a</span></div> |
| <div class="line"><a name="l00183"></a><span class="lineno"> 183</span> <span class="comment"> * contribution to C > 1.0.</span></div> |
| <div class="line"><a name="l00184"></a><span class="lineno"> 184</span> <span class="comment"> */</span></div> |
| <div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  </div> |
| <div class="line"><a name="l00186"></a><span class="lineno"> 186</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00187"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#ae71318de5a2cfb29c0737bc96a56d2a6"> 187</a></span> <span class="keywordtype">void</span> <a class="code" href="classdatasketches_1_1ebpps__sketch.html#aa3e3042bdaf5a90eb65767f1a392125a">ebpps_sketch<T, A>::merge</a>(<a class="code" href="classdatasketches_1_1ebpps__sketch.html">ebpps_sketch<T, A></a>&& sk) {</div> |
| <div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keywordflow">if</span> (sk.get_cumulative_weight() == 0.0) <span class="keywordflow">return</span>;</div> |
| <div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (sk.get_cumulative_weight() > get_cumulative_weight()) {</div> |
| <div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="comment">// need to swap this with sk to merge smaller into larger</span></div> |
| <div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  std::swap(*<span class="keyword">this</span>, sk);</div> |
| <div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  }</div> |
| <div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  </div> |
| <div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  internal_merge(sk);</div> |
| <div class="line"><a name="l00195"></a><span class="lineno"> 195</span> }</div> |
| <div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  </div> |
| <div class="line"><a name="l00197"></a><span class="lineno"> 197</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00198"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#aa3e3042bdaf5a90eb65767f1a392125a"> 198</a></span> <span class="keywordtype">void</span> <a class="code" href="classdatasketches_1_1ebpps__sketch.html#aa3e3042bdaf5a90eb65767f1a392125a">ebpps_sketch<T, A>::merge</a>(<span class="keyword">const</span> <a class="code" href="classdatasketches_1_1ebpps__sketch.html">ebpps_sketch<T, A></a>& sk) {</div> |
| <div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keywordflow">if</span> (sk.<a class="code" href="classdatasketches_1_1ebpps__sketch.html#a8c7e54338adc46e68f7c53676bcecde8">get_cumulative_weight</a>() == 0.0) <span class="keywordflow">return</span>;</div> |
| <div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (sk.<a class="code" href="classdatasketches_1_1ebpps__sketch.html#a8c7e54338adc46e68f7c53676bcecde8">get_cumulative_weight</a>() > get_cumulative_weight()) {</div> |
| <div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="comment">// need to swap this with sk to merge, so make a copy, swap,</span></div> |
| <div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="comment">// and use that to merge</span></div> |
| <div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <a class="code" href="classdatasketches_1_1ebpps__sketch.html">ebpps_sketch</a> sk_copy(sk);</div> |
| <div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  swap(*<span class="keyword">this</span>, sk_copy);</div> |
| <div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  internal_merge(sk_copy);</div> |
| <div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  } <span class="keywordflow">else</span> {</div> |
| <div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  internal_merge(sk);</div> |
| <div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  }</div> |
| <div class="line"><a name="l00209"></a><span class="lineno"> 209</span> }</div> |
| <div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  </div> |
| <div class="line"><a name="l00211"></a><span class="lineno"> 211</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00212"></a><span class="lineno"> 212</span> <span class="keyword">template</span><<span class="keyword">typename</span> O></div> |
| <div class="line"><a name="l00213"></a><span class="lineno"> 213</span> <span class="keywordtype">void</span> <a class="code" href="classdatasketches_1_1ebpps__sketch.html">ebpps_sketch<T, A>::internal_merge</a>(O&& sk) {</div> |
| <div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="comment">// assumes that sk.cumulative_wt_ <= cumulative_wt_,</span></div> |
| <div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="comment">// which must be checked before calling this</span></div> |
| <div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  </div> |
| <div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="keyword">const</span> ebpps_sample<T,A>& other_sample = sk.sample_;</div> |
| <div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  </div> |
| <div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> final_cum_wt = cumulative_wt_ + sk.cumulative_wt_;</div> |
| <div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> new_wt_max = std::max(wt_max_, sk.wt_max_);</div> |
| <div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  k_ = std::min(k_, sk.k_);</div> |
| <div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keyword">const</span> uint64_t new_n = n_ + sk.n_;</div> |
| <div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  </div> |
| <div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="comment">// Insert sk's items with the cumulative weight</span></div> |
| <div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="comment">// split between the input items. We repeat the same process</span></div> |
| <div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="comment">// for full items and the partial item, scaling the input</span></div> |
| <div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="comment">// weight appropriately.</span></div> |
| <div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="comment">// We handle all C input items, meaning we always process</span></div> |
| <div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="comment">// the partial item using a scaled down weight.</span></div> |
| <div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="comment">// Handling the partial item by probabilistically including</span></div> |
| <div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="comment">// it as a full item would be correct on average but would</span></div> |
| <div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="comment">// introduce bias for any specific merge operation.</span></div> |
| <div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> avg_wt = sk.get_cumulative_weight() / sk.get_c();</div> |
| <div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="keyword">auto</span> items = other_sample.get_full_items();</div> |
| <div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < items.size(); ++i) {</div> |
| <div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="comment">// new_wt_max is pre-computed</span></div> |
| <div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> new_cum_wt = cumulative_wt_ + avg_wt;</div> |
| <div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> new_rho = std::min(1.0 / new_wt_max, k_ / new_cum_wt);</div> |
| <div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  </div> |
| <div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keywordflow">if</span> (cumulative_wt_ > 0.0)</div> |
| <div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  sample_.downsample(new_rho / rho_);</div> |
| <div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  </div> |
| <div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  ebpps_sample<T,A> tmp(conditional_forward<O>(items[i]), new_rho * avg_wt, allocator_);</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>  sample_.merge(tmp);</div> |
| <div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  </div> |
| <div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  cumulative_wt_ = new_cum_wt;</div> |
| <div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  rho_ = new_rho;</div> |
| <div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  }</div> |
| <div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  </div> |
| <div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="comment">// insert partial item with weight scaled by the fractional part of C</span></div> |
| <div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keywordflow">if</span> (other_sample.has_partial_item()) {</div> |
| <div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keywordtype">double</span> unused;</div> |
| <div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> other_c_frac = std::modf(other_sample.get_c(), &unused);</div> |
| <div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  </div> |
| <div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> new_cum_wt = cumulative_wt_ + (other_c_frac * avg_wt);</div> |
| <div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> new_rho = std::min(1.0 / new_wt_max, k_ / new_cum_wt);</div> |
| <div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  </div> |
| <div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keywordflow">if</span> (cumulative_wt_ > 0.0)</div> |
| <div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  sample_.downsample(new_rho / rho_);</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>  ebpps_sample<T,A> tmp(conditional_forward<O>(other_sample.get_partial_item()), new_rho * other_c_frac * avg_wt, allocator_);</div> |
| <div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  </div> |
| <div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  sample_.merge(tmp);</div> |
| <div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  </div> |
| <div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  cumulative_wt_ = new_cum_wt;</div> |
| <div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  rho_ = new_rho;</div> |
| <div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  }</div> |
| <div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  </div> |
| <div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="comment">// avoid numeric issues by setting cumulative weight to the</span></div> |
| <div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="comment">// pre-computed value</span></div> |
| <div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  cumulative_wt_ = final_cum_wt;</div> |
| <div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  n_ = new_n;</div> |
| <div class="line"><a name="l00274"></a><span class="lineno"> 274</span> }</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="comment">/*</span></div> |
| <div class="line"><a name="l00277"></a><span class="lineno"> 277</span> <span class="comment"> * An empty sketch requires 8 bytes.</span></div> |
| <div class="line"><a name="l00278"></a><span class="lineno"> 278</span> <span class="comment"> *</span></div> |
| <div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="comment"> * <pre></span></div> |
| <div class="line"><a name="l00280"></a><span class="lineno"> 280</span> <span class="comment"> * Long || Start Byte Adr:</span></div> |
| <div class="line"><a name="l00281"></a><span class="lineno"> 281</span> <span class="comment"> * Adr:</span></div> |
| <div class="line"><a name="l00282"></a><span class="lineno"> 282</span> <span class="comment"> * || 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 |</span></div> |
| <div class="line"><a name="l00283"></a><span class="lineno"> 283</span> <span class="comment"> * 0 || Preamble_Longs | SerVer | FamID | Flags |---------Max Res. Size (K)---------|</span></div> |
| <div class="line"><a name="l00284"></a><span class="lineno"> 284</span> <span class="comment"> * </pre></span></div> |
| <div class="line"><a name="l00285"></a><span class="lineno"> 285</span> <span class="comment"> *</span></div> |
| <div class="line"><a name="l00286"></a><span class="lineno"> 286</span> <span class="comment"> * A non-empty sketch requires 40 bytes of preamble. C looks like part of</span></div> |
| <div class="line"><a name="l00287"></a><span class="lineno"> 287</span> <span class="comment"> * the preamble but is serialized as part of the internal sample state.</span></div> |
| <div class="line"><a name="l00288"></a><span class="lineno"> 288</span> <span class="comment"> *</span></div> |
| <div class="line"><a name="l00289"></a><span class="lineno"> 289</span> <span class="comment"> * The count of items seen is not used but preserved as the value seems like a useful</span></div> |
| <div class="line"><a name="l00290"></a><span class="lineno"> 290</span> <span class="comment"> * count to track.</span></div> |
| <div class="line"><a name="l00291"></a><span class="lineno"> 291</span> <span class="comment"> * </span></div> |
| <div class="line"><a name="l00292"></a><span class="lineno"> 292</span> <span class="comment"> * <pre></span></div> |
| <div class="line"><a name="l00293"></a><span class="lineno"> 293</span> <span class="comment"> * Long || Start Byte Adr:</span></div> |
| <div class="line"><a name="l00294"></a><span class="lineno"> 294</span> <span class="comment"> * Adr:</span></div> |
| <div class="line"><a name="l00295"></a><span class="lineno"> 295</span> <span class="comment"> * || 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 |</span></div> |
| <div class="line"><a name="l00296"></a><span class="lineno"> 296</span> <span class="comment"> * 0 || Preamble_Longs | SerVer | FamID | Flags |---------Max Res. Size (K)---------|</span></div> |
| <div class="line"><a name="l00297"></a><span class="lineno"> 297</span> <span class="comment"> *</span></div> |
| <div class="line"><a name="l00298"></a><span class="lineno"> 298</span> <span class="comment"> * || 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 |</span></div> |
| <div class="line"><a name="l00299"></a><span class="lineno"> 299</span> <span class="comment"> * 1 ||---------------------------Items Seen Count (N)--------------------------------|</span></div> |
| <div class="line"><a name="l00300"></a><span class="lineno"> 300</span> <span class="comment"> *</span></div> |
| <div class="line"><a name="l00301"></a><span class="lineno"> 301</span> <span class="comment"> * || 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 |</span></div> |
| <div class="line"><a name="l00302"></a><span class="lineno"> 302</span> <span class="comment"> * 2 ||----------------------------Cumulative Weight----------------------------------|</span></div> |
| <div class="line"><a name="l00303"></a><span class="lineno"> 303</span> <span class="comment"> *</span></div> |
| <div class="line"><a name="l00304"></a><span class="lineno"> 304</span> <span class="comment"> * || 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 |</span></div> |
| <div class="line"><a name="l00305"></a><span class="lineno"> 305</span> <span class="comment"> * 3 ||-----------------------------Max Item Weight-----------------------------------|</span></div> |
| <div class="line"><a name="l00306"></a><span class="lineno"> 306</span> <span class="comment"> *</span></div> |
| <div class="line"><a name="l00307"></a><span class="lineno"> 307</span> <span class="comment"> * || 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 |</span></div> |
| <div class="line"><a name="l00308"></a><span class="lineno"> 308</span> <span class="comment"> * 4 ||----------------------------------Rho------------------------------------------|</span></div> |
| <div class="line"><a name="l00309"></a><span class="lineno"> 309</span> <span class="comment"> *</span></div> |
| <div class="line"><a name="l00310"></a><span class="lineno"> 310</span> <span class="comment"> * || 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 |</span></div> |
| <div class="line"><a name="l00311"></a><span class="lineno"> 311</span> <span class="comment"> * 5 ||-----------------------------------C-------------------------------------------|</span></div> |
| <div class="line"><a name="l00312"></a><span class="lineno"> 312</span> <span class="comment"> *</span></div> |
| <div class="line"><a name="l00313"></a><span class="lineno"> 313</span> <span class="comment"> * || 40+ |</span></div> |
| <div class="line"><a name="l00314"></a><span class="lineno"> 314</span> <span class="comment"> * 6+ || {Items Array} |</span></div> |
| <div class="line"><a name="l00315"></a><span class="lineno"> 315</span> <span class="comment"> * || {Optional Item (if needed)} |</span></div> |
| <div class="line"><a name="l00316"></a><span class="lineno"> 316</span> <span class="comment"> * </pre></span></div> |
| <div class="line"><a name="l00317"></a><span class="lineno"> 317</span> <span class="comment"> */</span></div> |
| <div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  </div> |
| <div class="line"><a name="l00319"></a><span class="lineno"> 319</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00320"></a><span class="lineno"> 320</span> <span class="keyword">template</span><<span class="keyword">typename</span> SerDe></div> |
| <div class="line"><a name="l00321"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#a8762fed25b3024f07989976344dd0afb"> 321</a></span> <span class="keywordtype">size_t</span> <a class="code" href="classdatasketches_1_1ebpps__sketch.html#a8762fed25b3024f07989976344dd0afb">ebpps_sketch<T, A>::get_serialized_size_bytes</a>(<span class="keyword">const</span> SerDe& sd)<span class="keyword"> const </span>{</div> |
| <div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keywordflow">if</span> (is_empty()) { <span class="keywordflow">return</span> PREAMBLE_LONGS_EMPTY << 3; }</div> |
| <div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="keywordflow">return</span> (PREAMBLE_LONGS_FULL << 3) + sample_.get_serialized_size_bytes(sd);</div> |
| <div class="line"><a name="l00324"></a><span class="lineno"> 324</span> }</div> |
| <div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  </div> |
| <div class="line"><a name="l00326"></a><span class="lineno"> 326</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00327"></a><span class="lineno"> 327</span> <span class="keyword">template</span><<span class="keyword">typename</span> SerDe></div> |
| <div class="line"><a name="l00328"></a><span class="lineno"> 328</span> <span class="keyword">auto</span> <a class="code" href="classdatasketches_1_1ebpps__sketch.html#a1d0c269c23926e93b1c7a9c00e86af97">ebpps_sketch<T,A>::serialize</a>(<span class="keywordtype">unsigned</span> header_size_bytes, <span class="keyword">const</span> SerDe& sd) <span class="keyword">const</span> -> vector_bytes {</div> |
| <div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="keyword">const</span> uint8_t prelongs = (is_empty() ? PREAMBLE_LONGS_EMPTY : PREAMBLE_LONGS_FULL);</div> |
| <div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  </div> |
| <div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> size = header_size_bytes + (prelongs << 3) + sample_.get_serialized_size_bytes(sd);</div> |
| <div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  vector_bytes bytes(size, 0, allocator_);</div> |
| <div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  uint8_t* ptr = bytes.data() + header_size_bytes;</div> |
| <div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keyword">const</span> uint8_t* end_ptr = ptr + size;</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>  uint8_t flags = 0;</div> |
| <div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="keywordflow">if</span> (is_empty()) {</div> |
| <div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  flags |= EMPTY_FLAG_MASK;</div> |
| <div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  } <span class="keywordflow">else</span> {</div> |
| <div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  flags |= sample_.has_partial_item() ? HAS_PARTIAL_ITEM_MASK : 0;</div> |
| <div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  }</div> |
| <div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  </div> |
| <div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="comment">// first prelong</span></div> |
| <div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keyword">const</span> uint8_t ser_ver = SER_VER;</div> |
| <div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keyword">const</span> uint8_t family = FAMILY_ID;</div> |
| <div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  ptr += copy_to_mem(prelongs, ptr);</div> |
| <div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  ptr += copy_to_mem(ser_ver, ptr);</div> |
| <div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  ptr += copy_to_mem(family, ptr);</div> |
| <div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  ptr += copy_to_mem(flags, ptr);</div> |
| <div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  ptr += copy_to_mem(k_, ptr);</div> |
| <div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  </div> |
| <div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="keywordflow">if</span> (!is_empty()) {</div> |
| <div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="comment">// remaining preamble</span></div> |
| <div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  ptr += copy_to_mem(n_, ptr);</div> |
| <div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  ptr += copy_to_mem(cumulative_wt_, ptr);</div> |
| <div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  ptr += copy_to_mem(wt_max_, ptr);</div> |
| <div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  ptr += copy_to_mem(rho_, ptr);</div> |
| <div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  ptr += sample_.serialize(ptr, end_ptr, sd);</div> |
| <div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  }</div> |
| <div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  </div> |
| <div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  <span class="keywordflow">return</span> bytes;</div> |
| <div class="line"><a name="l00362"></a><span class="lineno"> 362</span> }</div> |
| <div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  </div> |
| <div class="line"><a name="l00364"></a><span class="lineno"> 364</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00365"></a><span class="lineno"> 365</span> <span class="keyword">template</span><<span class="keyword">typename</span> SerDe></div> |
| <div class="line"><a name="l00366"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#a538940c100e4353b3671ad452d3d3056"> 366</a></span> <span class="keywordtype">void</span> <a class="code" href="classdatasketches_1_1ebpps__sketch.html#a1d0c269c23926e93b1c7a9c00e86af97">ebpps_sketch<T,A>::serialize</a>(std::ostream& os, <span class="keyword">const</span> SerDe& sd)<span class="keyword"> const </span>{</div> |
| <div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <span class="keyword">const</span> uint8_t prelongs = (is_empty() ? PREAMBLE_LONGS_EMPTY : PREAMBLE_LONGS_FULL);</div> |
| <div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  </div> |
| <div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  uint8_t flags = 0;</div> |
| <div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <span class="keywordflow">if</span> (is_empty()) {</div> |
| <div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  flags |= EMPTY_FLAG_MASK;</div> |
| <div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  } <span class="keywordflow">else</span> {</div> |
| <div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  flags |= sample_.has_partial_item() ? HAS_PARTIAL_ITEM_MASK : 0;</div> |
| <div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  }</div> |
| <div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  </div> |
| <div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <span class="comment">// first prelong</span></div> |
| <div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <span class="keyword">const</span> uint8_t ser_ver = SER_VER;</div> |
| <div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <span class="keyword">const</span> uint8_t family = FAMILY_ID;</div> |
| <div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  write(os, prelongs);</div> |
| <div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  write(os, ser_ver);</div> |
| <div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  write(os, family);</div> |
| <div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  write(os, flags);</div> |
| <div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  write(os, k_);</div> |
| <div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  </div> |
| <div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="keywordflow">if</span> (!is_empty()) {</div> |
| <div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="comment">// remaining preamble</span></div> |
| <div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  write(os, n_);</div> |
| <div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  write(os, cumulative_wt_);</div> |
| <div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  write(os, wt_max_);</div> |
| <div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  write(os, rho_);</div> |
| <div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  sample_.serialize(os, sd);</div> |
| <div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  }</div> |
| <div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  </div> |
| <div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  <span class="keywordflow">if</span> (!os.good()) <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"error writing to std::ostream"</span>);</div> |
| <div class="line"><a name="l00395"></a><span class="lineno"> 395</span> }</div> |
| <div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  </div> |
| <div class="line"><a name="l00397"></a><span class="lineno"> 397</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00398"></a><span class="lineno"> 398</span> <span class="keyword">template</span><<span class="keyword">typename</span> SerDe></div> |
| <div class="line"><a name="l00399"></a><span class="lineno"> 399</span> <a class="code" href="classdatasketches_1_1ebpps__sketch.html">ebpps_sketch<T,A></a> <a class="code" href="classdatasketches_1_1ebpps__sketch.html#ab70ba7338cb96e92d62399fbc1b774e6">ebpps_sketch<T,A>::deserialize</a>(<span class="keyword">const</span> <span class="keywordtype">void</span>* bytes, <span class="keywordtype">size_t</span> size, <span class="keyword">const</span> SerDe& sd, <span class="keyword">const</span> A& allocator) {</div> |
| <div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  ensure_minimum_memory(size, 8);</div> |
| <div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="keyword">const</span> uint8_t* ptr = <span class="keyword">static_cast<</span><span class="keyword">const </span>uint8_t*<span class="keyword">></span>(bytes);</div> |
| <div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keyword">const</span> uint8_t* end_ptr = ptr + size;</div> |
| <div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  uint8_t prelongs;</div> |
| <div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  ptr += copy_from_mem(ptr, prelongs);</div> |
| <div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  uint8_t serial_version;</div> |
| <div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  ptr += copy_from_mem(ptr, serial_version);</div> |
| <div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  uint8_t family_id;</div> |
| <div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  ptr += copy_from_mem(ptr, family_id);</div> |
| <div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  uint8_t flags;</div> |
| <div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  ptr += copy_from_mem(ptr, flags);</div> |
| <div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  uint32_t k;</div> |
| <div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  ptr += copy_from_mem(ptr, k);</div> |
| <div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  </div> |
| <div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  check_k(k);</div> |
| <div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  check_preamble_longs(prelongs, flags);</div> |
| <div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  check_family_and_serialization_version(family_id, serial_version);</div> |
| <div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  ensure_minimum_memory(size, prelongs << 3);</div> |
| <div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  </div> |
| <div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> empty = flags & EMPTY_FLAG_MASK;</div> |
| <div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keywordflow">if</span> (empty)</div> |
| <div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <span class="keywordflow">return</span> <a class="code" href="classdatasketches_1_1ebpps__sketch.html">ebpps_sketch</a>(k, allocator);</div> |
| <div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  </div> |
| <div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  uint64_t n;</div> |
| <div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  ptr += copy_from_mem(ptr, n);</div> |
| <div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="keywordtype">double</span> cumulative_wt;</div> |
| <div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  ptr += copy_from_mem(ptr, cumulative_wt);</div> |
| <div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <span class="keywordtype">double</span> wt_max;</div> |
| <div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  ptr += copy_from_mem(ptr, wt_max);</div> |
| <div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  <span class="keywordtype">double</span> rho;</div> |
| <div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  ptr += copy_from_mem(ptr, rho);</div> |
| <div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  </div> |
| <div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  <span class="keyword">auto</span> pair = ebpps_sample<T, A>::deserialize(ptr, end_ptr - ptr, sd, allocator);</div> |
| <div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  ebpps_sample<T, A> sample = pair.first;</div> |
| <div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  ptr += pair.second;</div> |
| <div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  </div> |
| <div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <span class="keywordflow">if</span> (sample.has_partial_item() != <span class="keywordtype">bool</span>(flags & HAS_PARTIAL_ITEM_MASK))</div> |
| <div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"sketch fails internal consistency check"</span>);</div> |
| <div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  </div> |
| <div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <span class="keywordflow">return</span> <a class="code" href="classdatasketches_1_1ebpps__sketch.html">ebpps_sketch</a>(k, n, cumulative_wt, wt_max, rho, std::move(sample), allocator);</div> |
| <div class="line"><a name="l00440"></a><span class="lineno"> 440</span> }</div> |
| <div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  </div> |
| <div class="line"><a name="l00442"></a><span class="lineno"> 442</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00443"></a><span class="lineno"> 443</span> <span class="keyword">template</span><<span class="keyword">typename</span> SerDe></div> |
| <div class="line"><a name="l00444"></a><span class="lineno"> 444</span> ebpps_sketch<T,A> <a class="code" href="classdatasketches_1_1ebpps__sketch.html#ab70ba7338cb96e92d62399fbc1b774e6">ebpps_sketch<T,A>::deserialize</a>(std::istream& is, <span class="keyword">const</span> SerDe& sd, <span class="keyword">const</span> A& allocator) {</div> |
| <div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <span class="keyword">const</span> uint8_t prelongs = read<uint8_t>(is);</div> |
| <div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keyword">const</span> uint8_t ser_ver = read<uint8_t>(is);</div> |
| <div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="keyword">const</span> uint8_t family = read<uint8_t>(is);</div> |
| <div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keyword">const</span> uint8_t flags = read<uint8_t>(is);</div> |
| <div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  <span class="keyword">const</span> uint32_t k = read<uint32_t>(is);</div> |
| <div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  </div> |
| <div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  check_k(k);</div> |
| <div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  check_family_and_serialization_version(family, ser_ver);</div> |
| <div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  check_preamble_longs(prelongs, flags);</div> |
| <div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  </div> |
| <div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> empty = (flags & EMPTY_FLAG_MASK);</div> |
| <div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  </div> |
| <div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <span class="keywordflow">if</span> (empty)</div> |
| <div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="keywordflow">return</span> ebpps_sketch(k, allocator);</div> |
| <div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  </div> |
| <div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <span class="keyword">const</span> uint64_t n = read<uint64_t>(is);</div> |
| <div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> cumulative_wt = read<double>(is);</div> |
| <div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> wt_max = read<double>(is);</div> |
| <div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> rho = read<double>(is);</div> |
| <div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  </div> |
| <div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="keyword">auto</span> sample = ebpps_sample<T,A>::deserialize(is, sd, allocator);</div> |
| <div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  </div> |
| <div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <span class="keywordflow">if</span> (sample.has_partial_item() != <span class="keywordtype">bool</span>(flags & HAS_PARTIAL_ITEM_MASK))</div> |
| <div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"sketch fails internal consistency check"</span>);</div> |
| <div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  </div> |
| <div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <span class="keywordflow">return</span> ebpps_sketch(k, n, cumulative_wt, wt_max, rho, std::move(sample), allocator);</div> |
| <div class="line"><a name="l00471"></a><span class="lineno"> 471</span> }</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> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00474"></a><span class="lineno"> 474</span> <span class="keyword">inline</span> uint32_t ebpps_sketch<T, A>::check_k(uint32_t k)</div> |
| <div class="line"><a name="l00475"></a><span class="lineno"> 475</span> {</div> |
| <div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  <span class="keywordflow">if</span> (k == 0 || k > MAX_K)</div> |
| <div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">"k must be strictly positive and less than "</span> + std::to_string(MAX_K));</div> |
| <div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <span class="keywordflow">return</span> k;</div> |
| <div class="line"><a name="l00479"></a><span class="lineno"> 479</span> }</div> |
| <div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  </div> |
| <div class="line"><a name="l00481"></a><span class="lineno"> 481</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00482"></a><span class="lineno"> 482</span> <span class="keywordtype">void</span> ebpps_sketch<T, A>::check_family_and_serialization_version(uint8_t family_id, uint8_t ser_ver) {</div> |
| <div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="keywordflow">if</span> (family_id == FAMILY_ID) {</div> |
| <div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <span class="keywordflow">if</span> (ser_ver != SER_VER) {</div> |
| <div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">"Possible corruption: EBPPS serialization version must be "</span></div> |
| <div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  + std::to_string(SER_VER) + <span class="stringliteral">". Found: "</span> + std::to_string(ser_ver));</div> |
| <div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  }</div> |
| <div class="line"><a name="l00488"></a><span class="lineno"> 488</span>  <span class="keywordflow">return</span>;</div> |
| <div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  }</div> |
| <div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  </div> |
| <div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">"Possible corruption: EBPPS Sketch family id must be "</span></div> |
| <div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  + std::to_string(FAMILY_ID) + <span class="stringliteral">". Found: "</span> + std::to_string(family_id));</div> |
| <div class="line"><a name="l00493"></a><span class="lineno"> 493</span> }</div> |
| <div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  </div> |
| <div class="line"><a name="l00495"></a><span class="lineno"> 495</span> <span class="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00496"></a><span class="lineno"> 496</span> <span class="keywordtype">void</span> ebpps_sketch<T, A>::check_preamble_longs(uint8_t preamble_longs, uint8_t flags)</div> |
| <div class="line"><a name="l00497"></a><span class="lineno"> 497</span> {</div> |
| <div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> is_empty(flags & EMPTY_FLAG_MASK);</div> |
| <div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  </div> |
| <div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <span class="keywordflow">if</span> (is_empty) {</div> |
| <div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <span class="keywordflow">if</span> (preamble_longs != PREAMBLE_LONGS_EMPTY) {</div> |
| <div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">"Possible corruption: Preamble longs must be "</span></div> |
| <div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  + std::to_string(PREAMBLE_LONGS_EMPTY) + <span class="stringliteral">" for an empty sketch. Found: "</span></div> |
| <div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  + std::to_string(preamble_longs));</div> |
| <div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  }</div> |
| <div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="keywordflow">if</span> (flags & HAS_PARTIAL_ITEM_MASK) {</div> |
| <div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">"Possible corruption: Empty sketch must not "</span></div> |
| <div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="stringliteral">"contain indications of the presence of any item"</span>);</div> |
| <div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  }</div> |
| <div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  } <span class="keywordflow">else</span> {</div> |
| <div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <span class="keywordflow">if</span> (preamble_longs != PREAMBLE_LONGS_FULL) {</div> |
| <div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <span class="keywordflow">throw</span> std::invalid_argument(<span class="stringliteral">"Possible corruption: Preamble longs must be "</span></div> |
| <div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  + std::to_string(PREAMBLE_LONGS_FULL)</div> |
| <div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  + <span class="stringliteral">" for a non-empty sketch. Found: "</span> + std::to_string(preamble_longs));</div> |
| <div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  }</div> |
| <div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  }</div> |
| <div class="line"><a name="l00517"></a><span class="lineno"> 517</span> }</div> |
| <div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  </div> |
| <div class="line"><a name="l00519"></a><span class="lineno"> 519</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00520"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#a7f1f04c52ad57d836463132e260dee2f"> 520</a></span> <span class="keyword">typename</span> ebpps_sample<T, A>::const_iterator <a class="code" href="classdatasketches_1_1ebpps__sketch.html#a7f1f04c52ad57d836463132e260dee2f">ebpps_sketch<T, A>::begin</a>()<span class="keyword"> const </span>{</div> |
| <div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  <span class="keywordflow">return</span> sample_.begin();</div> |
| <div class="line"><a name="l00522"></a><span class="lineno"> 522</span> }</div> |
| <div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  </div> |
| <div class="line"><a name="l00524"></a><span class="lineno"> 524</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div> |
| <div class="line"><a name="l00525"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#a42825c759c3dec7ece362973012123a2"> 525</a></span> <span class="keyword">typename</span> ebpps_sample<T, A>::const_iterator <a class="code" href="classdatasketches_1_1ebpps__sketch.html#a42825c759c3dec7ece362973012123a2">ebpps_sketch<T, A>::end</a>()<span class="keyword"> const </span>{</div> |
| <div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <span class="keywordflow">return</span> sample_.end();</div> |
| <div class="line"><a name="l00527"></a><span class="lineno"> 527</span> }</div> |
| <div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  </div> |
| <div class="line"><a name="l00529"></a><span class="lineno"> 529</span> } <span class="comment">// namespace datasketches</span></div> |
| <div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  </div> |
| <div class="line"><a name="l00531"></a><span class="lineno"> 531</span> <span class="preprocessor">#endif </span><span class="comment">// _EBPPS_SKETCH_IMPL_HPP_</span></div> |
| <div class="ttc" id="aclassdatasketches_1_1ebpps__sketch_html"><div class="ttname"><a href="classdatasketches_1_1ebpps__sketch.html">datasketches::ebpps_sketch</a></div><div class="ttdoc">An implementation of an Exact and Bounded Sampling Proportional to Size sketch.</div><div class="ttdef"><b>Definition:</b> ebpps_sketch.hpp:59</div></div> |
| <div class="ttc" id="aclassdatasketches_1_1ebpps__sketch_html_a0fa52dd153f1e3cac57d4742e2fef6fc"><div class="ttname"><a href="classdatasketches_1_1ebpps__sketch.html#a0fa52dd153f1e3cac57d4742e2fef6fc">datasketches::ebpps_sketch::items_to_string</a></div><div class="ttdeci">string< A > items_to_string() const</div><div class="ttdoc">Prints the raw sketch items to a string.</div><div class="ttdef"><b>Definition:</b> ebpps_sketch_impl.hpp:110</div></div> |
| <div class="ttc" id="aclassdatasketches_1_1ebpps__sketch_html_a1125ed18baf3f257b5796321c7ec0f8f"><div class="ttname"><a href="classdatasketches_1_1ebpps__sketch.html#a1125ed18baf3f257b5796321c7ec0f8f">datasketches::ebpps_sketch::update</a></div><div class="ttdeci">void update(const T &item, double weight=1.0)</div><div class="ttdoc">Updates this sketch with the given data item with the given weight.</div><div class="ttdef"><b>Definition:</b> ebpps_sketch_impl.hpp:125</div></div> |
| <div class="ttc" id="aclassdatasketches_1_1ebpps__sketch_html_a15f1a34587bbc0a93cf97dfc2cc6c205"><div class="ttname"><a href="classdatasketches_1_1ebpps__sketch.html#a15f1a34587bbc0a93cf97dfc2cc6c205">datasketches::ebpps_sketch::ebpps_sketch</a></div><div class="ttdeci">ebpps_sketch(uint32_t k, const A &allocator=A())</div><div class="ttdoc">Constructor.</div><div class="ttdef"><b>Definition:</b> ebpps_sketch_impl.hpp:36</div></div> |
| <div class="ttc" id="aclassdatasketches_1_1ebpps__sketch_html_a1d0c269c23926e93b1c7a9c00e86af97"><div class="ttname"><a href="classdatasketches_1_1ebpps__sketch.html#a1d0c269c23926e93b1c7a9c00e86af97">datasketches::ebpps_sketch::serialize</a></div><div class="ttdeci">vector_bytes serialize(unsigned header_size_bytes=0, const SerDe &sd=SerDe()) const</div><div class="ttdoc">This method serializes the sketch as a vector of bytes.</div></div> |
| <div class="ttc" id="aclassdatasketches_1_1ebpps__sketch_html_a42825c759c3dec7ece362973012123a2"><div class="ttname"><a href="classdatasketches_1_1ebpps__sketch.html#a42825c759c3dec7ece362973012123a2">datasketches::ebpps_sketch::end</a></div><div class="ttdeci">ebpps_sample< T, A >::const_iterator end() const</div><div class="ttdoc">Iterator pointing to the past-the-end item in the sketch.</div><div class="ttdef"><b>Definition:</b> ebpps_sketch_impl.hpp:525</div></div> |
| <div class="ttc" id="aclassdatasketches_1_1ebpps__sketch_html_a5a2b7a58dc85678d08752945ff655362"><div class="ttname"><a href="classdatasketches_1_1ebpps__sketch.html#a5a2b7a58dc85678d08752945ff655362">datasketches::ebpps_sketch::is_empty</a></div><div class="ttdeci">bool is_empty() const</div><div class="ttdoc">Returns true if the sketch is empty.</div><div class="ttdef"><b>Definition:</b> ebpps_sketch_impl.hpp:80</div></div> |
| <div class="ttc" id="aclassdatasketches_1_1ebpps__sketch_html_a7f1f04c52ad57d836463132e260dee2f"><div class="ttname"><a href="classdatasketches_1_1ebpps__sketch.html#a7f1f04c52ad57d836463132e260dee2f">datasketches::ebpps_sketch::begin</a></div><div class="ttdeci">ebpps_sample< T, A >::const_iterator begin() const</div><div class="ttdoc">Iterator pointing to the first item in the sketch.</div><div class="ttdef"><b>Definition:</b> ebpps_sketch_impl.hpp:520</div></div> |
| <div class="ttc" id="aclassdatasketches_1_1ebpps__sketch_html_a8762fed25b3024f07989976344dd0afb"><div class="ttname"><a href="classdatasketches_1_1ebpps__sketch.html#a8762fed25b3024f07989976344dd0afb">datasketches::ebpps_sketch::get_serialized_size_bytes</a></div><div class="ttdeci">size_t get_serialized_size_bytes(const SerDe &sd=SerDe()) const</div><div class="ttdoc">Computes size needed to serialize the current state of the sketch.</div><div class="ttdef"><b>Definition:</b> ebpps_sketch_impl.hpp:321</div></div> |
| <div class="ttc" id="aclassdatasketches_1_1ebpps__sketch_html_a8c7e54338adc46e68f7c53676bcecde8"><div class="ttname"><a href="classdatasketches_1_1ebpps__sketch.html#a8c7e54338adc46e68f7c53676bcecde8">datasketches::ebpps_sketch::get_cumulative_weight</a></div><div class="ttdeci">double get_cumulative_weight() const</div><div class="ttdoc">Returns the cumulative weight of items processed by the sketch.</div><div class="ttdef"><b>Definition:</b> ebpps_sketch_impl.hpp:75</div></div> |
| <div class="ttc" id="aclassdatasketches_1_1ebpps__sketch_html_a9d85cf47c4ecd0580ec623c42006dd1b"><div class="ttname"><a href="classdatasketches_1_1ebpps__sketch.html#a9d85cf47c4ecd0580ec623c42006dd1b">datasketches::ebpps_sketch::get_allocator</a></div><div class="ttdeci">A get_allocator() const</div><div class="ttdoc">Returns an instance of the allocator for this sketch.</div><div class="ttdef"><b>Definition:</b> ebpps_sketch_impl.hpp:120</div></div> |
| <div class="ttc" id="aclassdatasketches_1_1ebpps__sketch_html_aa3e3042bdaf5a90eb65767f1a392125a"><div class="ttname"><a href="classdatasketches_1_1ebpps__sketch.html#aa3e3042bdaf5a90eb65767f1a392125a">datasketches::ebpps_sketch::merge</a></div><div class="ttdeci">void merge(const ebpps_sketch< T, A > &sketch)</div><div class="ttdoc">Merges the provided sketch into the current one.</div><div class="ttdef"><b>Definition:</b> ebpps_sketch_impl.hpp:198</div></div> |
| <div class="ttc" id="aclassdatasketches_1_1ebpps__sketch_html_ab70ba7338cb96e92d62399fbc1b774e6"><div class="ttname"><a href="classdatasketches_1_1ebpps__sketch.html#ab70ba7338cb96e92d62399fbc1b774e6">datasketches::ebpps_sketch::deserialize</a></div><div class="ttdeci">static ebpps_sketch deserialize(const void *bytes, size_t size, const SerDe &sd=SerDe(), const A &allocator=A())</div><div class="ttdoc">This method deserializes a sketch from a given array of bytes.</div></div> |
| <div class="ttc" id="aclassdatasketches_1_1ebpps__sketch_html_ad20897c5c8bd47f5d4005989bead0e55"><div class="ttname"><a href="classdatasketches_1_1ebpps__sketch.html#ad20897c5c8bd47f5d4005989bead0e55">datasketches::ebpps_sketch::reset</a></div><div class="ttdeci">void reset()</div><div class="ttdoc">Resets the sketch to its default, empty state.</div><div class="ttdef"><b>Definition:</b> ebpps_sketch_impl.hpp:85</div></div> |
| <div class="ttc" id="aclassdatasketches_1_1ebpps__sketch_html_ad9a95d52fa46cfa85b026802397b2154"><div class="ttname"><a href="classdatasketches_1_1ebpps__sketch.html#ad9a95d52fa46cfa85b026802397b2154">datasketches::ebpps_sketch::get_c</a></div><div class="ttdeci">double get_c() const</div><div class="ttdoc">Returns the expected number of samples returned upon a call to get_result() or the creation of an ite...</div><div class="ttdef"><b>Definition:</b> ebpps_sketch_impl.hpp:70</div></div> |
| <div class="ttc" id="aclassdatasketches_1_1ebpps__sketch_html_aed372241c10ffd041bee85602edb199a"><div class="ttname"><a href="classdatasketches_1_1ebpps__sketch.html#aed372241c10ffd041bee85602edb199a">datasketches::ebpps_sketch::to_string</a></div><div class="ttdeci">string< A > to_string() const</div><div class="ttdoc">Prints a summary of the sketch.</div><div class="ttdef"><b>Definition:</b> ebpps_sketch_impl.hpp:94</div></div> |
| <div class="ttc" id="aclassdatasketches_1_1ebpps__sketch_html_af55091df8eaaa2a9dc834f1e1d5340e7"><div class="ttname"><a href="classdatasketches_1_1ebpps__sketch.html#af55091df8eaaa2a9dc834f1e1d5340e7">datasketches::ebpps_sketch::get_result</a></div><div class="ttdeci">result_type get_result() const</div><div class="ttdoc">Returns a copy of the current sample, as a std::vector.</div><div class="ttdef"><b>Definition:</b> ebpps_sketch_impl.hpp:162</div></div> |
| <div class="ttc" id="aclassdatasketches_1_1ebpps__sketch_html_af561f5cd76ff61773713c627bc53b0a2"><div class="ttname"><a href="classdatasketches_1_1ebpps__sketch.html#af561f5cd76ff61773713c627bc53b0a2">datasketches::ebpps_sketch::get_k</a></div><div class="ttdeci">uint32_t get_k() const</div><div class="ttdoc">Returns the configured maximum sample size.</div><div class="ttdef"><b>Definition:</b> ebpps_sketch_impl.hpp:60</div></div> |
| <div class="ttc" id="aclassdatasketches_1_1ebpps__sketch_html_af857be9469a7565252626f27e1f9d74d"><div class="ttname"><a href="classdatasketches_1_1ebpps__sketch.html#af857be9469a7565252626f27e1f9d74d">datasketches::ebpps_sketch::get_n</a></div><div class="ttdeci">uint64_t get_n() const</div><div class="ttdoc">Returns the number of items processed by the sketch, regardless of item weight.</div><div class="ttdef"><b>Definition:</b> ebpps_sketch_impl.hpp:65</div></div> |
| <div class="ttc" id="anamespacedatasketches_html"><div class="ttname"><a href="namespacedatasketches.html">datasketches</a></div><div class="ttdoc">DataSketches namespace.</div><div class="ttdef"><b>Definition:</b> binomial_bounds.hpp:38</div></div> |
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