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Posted to commits@datasketches.apache.org by gi...@apache.org on 2024/01/30 02:18:55 UTC
(datasketches-cpp) branch gh-pages updated: deploy: f905bddbb3b366ce7bf0b49d041a9ced76d3b555
This is an automated email from the ASF dual-hosted git repository.
github-bot pushed a commit to branch gh-pages
in repository https://gitbox.apache.org/repos/asf/datasketches-cpp.git
The following commit(s) were added to refs/heads/gh-pages by this push:
new c431413 deploy: f905bddbb3b366ce7bf0b49d041a9ced76d3b555
c431413 is described below
commit c431413064b29f65d6080bbf7f6cc765576841d0
Author: jmalkin <jm...@users.noreply.github.com>
AuthorDate: Tue Jan 30 02:18:51 2024 +0000
deploy: f905bddbb3b366ce7bf0b49d041a9ced76d3b555
---
docs/master/ebpps__sample_8hpp_source.html | 12 +-
docs/master/ebpps__sample__impl_8hpp_source.html | 951 +++++++++++-----------
docs/master/ebpps__sketch_8hpp_source.html | 74 +-
docs/master/ebpps__sketch__impl_8hpp_source.html | 975 +++++++++++------------
4 files changed, 1005 insertions(+), 1007 deletions(-)
diff --git a/docs/master/ebpps__sample_8hpp_source.html b/docs/master/ebpps__sample_8hpp_source.html
index 13a8391..69b9ebf 100644
--- a/docs/master/ebpps__sample_8hpp_source.html
+++ b/docs/master/ebpps__sample_8hpp_source.html
@@ -108,13 +108,13 @@ $(function() {
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keyword">public</span>:</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keyword">explicit</span> ebpps_sample(uint32_t k, <span class="keyword">const</span> A& allocator = A());</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>  <span class="comment">// constructor used to create a sample to merge one item</span></div>
-<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keyword">template</span><<span class="keyword">typename</span> TT></div>
-<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  ebpps_sample(TT&& item, <span class="keywordtype">double</span> theta, <span class="keyword">const</span> A& allocator = A());</div>
+<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="comment">// for deserialization</span></div>
+<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keyword">class </span>items_deleter;</div>
+<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  ebpps_sample(std::vector<T, A>&& data, optional<T>&& partial_item, <span class="keywordtype">double</span> c, <span class="keyword">const</span> A& allocator = A());</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  </div>
-<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="comment">// for deserialization</span></div>
-<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keyword">class </span>items_deleter;</div>
-<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  ebpps_sample(std::vector<T, A>&& data, optional<T>&& partial_item, <span class="keywordtype">double</span> c, <span class="keyword">const</span> A& allocator = A());</div>
+<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="comment">// used instead of having a single-item constructor for update/merge calls</span></div>
+<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keyword">template</span><<span class="keyword">typename</span> TT></div>
+<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordtype">void</span> replace_content(TT&& item, <span class="keywordtype">double</span> theta);</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  </div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordtype">void</span> reset();</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordtype">void</span> downsample(<span class="keywordtype">double</span> theta);</div>
diff --git a/docs/master/ebpps__sample__impl_8hpp_source.html b/docs/master/ebpps__sample__impl_8hpp_source.html
index bdeff8e..83ec9b7 100644
--- a/docs/master/ebpps__sample__impl_8hpp_source.html
+++ b/docs/master/ebpps__sample__impl_8hpp_source.html
@@ -113,501 +113,498 @@ $(function() {
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  }</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  </div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="keyword">template</span><<span class="keyword">typename</span> TT></div>
-<div class="line"><a name="l00046"></a><span class="lineno"> 46</span> ebpps_sample<T,A>::ebpps_sample(TT&& item, <span class="keywordtype">double</span> theta, <span class="keyword">const</span> A& allocator) :</div>
-<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  allocator_(allocator),</div>
-<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  c_(theta),</div>
-<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  partial_item_(),</div>
-<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  data_(allocator)</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="keywordflow">if</span> (theta == 1.0) {</div>
-<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  data_.reserve(1);</div>
-<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  data_.emplace_back(std::forward<TT>(item));</div>
-<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  } <span class="keywordflow">else</span> {</div>
-<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  partial_item_.emplace(std::forward<TT>(item));</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>  </div>
-<div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00061"></a><span class="lineno"> 61</span> ebpps_sample<T,A>::ebpps_sample(std::vector<T, A>&& data, optional<T>&& partial_item, <span class="keywordtype">double</span> c, <span class="keyword">const</span> A& allocator) :</div>
-<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  allocator_(allocator),</div>
-<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  c_(c),</div>
-<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  partial_item_(partial_item),</div>
-<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  data_(data, allocator)</div>
-<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  {}</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> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="keyword">auto</span> ebpps_sample<T,A>::get_sample() const -> result_type {</div>
-<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordtype">double</span> unused;</div>
-<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> c_frac = std::modf(c_, &unused);</div>
-<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> include_partial = next_double() < c_frac;</div>
-<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keyword">const</span> uint32_t result_size = <span class="keyword">static_cast<</span>uint32_t<span class="keyword">></span>(data_.size()) + (include_partial ? 1 : 0);</div>
-<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  </div>
-<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  result_type result;</div>
-<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  result.reserve(result_size);</div>
-<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  std::copy(data_.begin(), data_.end(), std::back_inserter(result));</div>
-<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">if</span> (include_partial)</div>
-<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  result.emplace_back(<span class="keyword">static_cast<</span><span class="keyword">const </span>T&<span class="keyword">></span>(*partial_item_));</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="keywordflow">return</span> result;</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"> 85</span> <span class="keywordtype">void</span> ebpps_sample<T,A>::downsample(<span class="keywordtype">double</span> theta) {</div>
-<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordflow">if</span> (theta >= 1.0) <span class="keywordflow">return</span>;</div>
-<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  </div>
-<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> new_c = theta * c_;</div>
-<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordtype">double</span> new_c_int;</div>
-<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> new_c_frac = std::modf(new_c, &new_c_int);</div>
-<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordtype">double</span> c_int;</div>
-<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> c_frac = std::modf(c_, &c_int);</div>
-<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  </div>
-<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">if</span> (new_c_int == 0.0) {</div>
-<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="comment">// no full items retained</span></div>
-<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordflow">if</span> (next_double() > (c_frac / c_)) {</div>
-<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  swap_with_partial();</div>
-<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  }</div>
-<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  data_.clear();</div>
-<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (new_c_int == c_int) {</div>
-<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="comment">// no items deleted</span></div>
-<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">if</span> (next_double() > (1 - theta * c_frac)/(1 - new_c_frac)) {</div>
-<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  swap_with_partial();</div>
-<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  }</div>
-<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  } <span class="keywordflow">else</span> {</div>
-<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordflow">if</span> (next_double() < theta * c_frac) {</div>
-<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="comment">// subsample data in random order; last item is partial</span></div>
-<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="comment">// create sample size new_c_int then swap_with_partial()</span></div>
-<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  subsample(<span class="keyword">static_cast<</span>uint32_t<span class="keyword">></span>(new_c_int));</div>
-<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  swap_with_partial();</div>
-<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  } <span class="keywordflow">else</span> {</div>
-<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="comment">// create sample size new_c_int + 1 then move_one_to_partial)</span></div>
-<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  subsample(<span class="keyword">static_cast<</span>uint32_t<span class="keyword">></span>(new_c_int) + 1);</div>
-<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  move_one_to_partial();</div>
-<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  }</div>
-<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  }</div>
+<div class="line"><a name="l00045"></a><span class="lineno"> 45</span> ebpps_sample<T,A>::ebpps_sample(std::vector<T, A>&& data, optional<T>&& partial_item, <span class="keywordtype">double</span> c, <span class="keyword">const</span> A& allocator) :</div>
+<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  allocator_(allocator),</div>
+<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  c_(c),</div>
+<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  partial_item_(partial_item),</div>
+<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  data_(data, allocator)</div>
+<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  {}</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">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="keyword">template</span><<span class="keyword">typename</span> TT></div>
+<div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="keywordtype">void</span> ebpps_sample<T,A>::replace_content(TT&& item, <span class="keywordtype">double</span> theta) {</div>
+<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  c_ = theta;</div>
+<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  data_.clear();</div>
+<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  partial_item_.reset();</div>
+<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordflow">if</span> (theta == 1.0) {</div>
+<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  data_.emplace_back(std::forward<TT>(item));</div>
+<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  } <span class="keywordflow">else</span> {</div>
+<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  partial_item_.emplace(std::forward<TT>(item));</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>  </div>
+<div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="keyword">auto</span> ebpps_sample<T,A>::get_sample() const -> result_type {</div>
+<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordtype">double</span> unused;</div>
+<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> c_frac = std::modf(c_, &unused);</div>
+<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> include_partial = next_double() < c_frac;</div>
+<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keyword">const</span> uint32_t result_size = <span class="keyword">static_cast<</span>uint32_t<span class="keyword">></span>(data_.size()) + (include_partial ? 1 : 0);</div>
+<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  </div>
+<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  result_type result;</div>
+<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  result.reserve(result_size);</div>
+<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  std::copy(data_.begin(), data_.end(), std::back_inserter(result));</div>
+<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">if</span> (include_partial)</div>
+<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  result.emplace_back(<span class="keyword">static_cast<</span><span class="keyword">const </span>T&<span class="keyword">></span>(*partial_item_));</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>  <span class="keywordflow">return</span> result;</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">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="keywordtype">void</span> ebpps_sample<T,A>::downsample(<span class="keywordtype">double</span> theta) {</div>
+<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">if</span> (theta >= 1.0) <span class="keywordflow">return</span>;</div>
+<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  </div>
+<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> new_c = theta * c_;</div>
+<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordtype">double</span> new_c_int;</div>
+<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> new_c_frac = std::modf(new_c, &new_c_int);</div>
+<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordtype">double</span> c_int;</div>
+<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> c_frac = std::modf(c_, &c_int);</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="keywordflow">if</span> (new_c_int == 0.0) {</div>
+<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="comment">// no full items retained</span></div>
+<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">if</span> (next_double() > (c_frac / c_)) {</div>
+<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  swap_with_partial();</div>
+<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  }</div>
+<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  data_.clear();</div>
+<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (new_c_int == c_int) {</div>
+<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">// no items deleted</span></div>
+<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordflow">if</span> (next_double() > (1 - theta * c_frac)/(1 - new_c_frac)) {</div>
+<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  swap_with_partial();</div>
+<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  }</div>
+<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  } <span class="keywordflow">else</span> {</div>
+<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordflow">if</span> (next_double() < theta * c_frac) {</div>
+<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="comment">// subsample data in random order; last item is partial</span></div>
+<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="comment">// create sample size new_c_int then swap_with_partial()</span></div>
+<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  subsample(<span class="keyword">static_cast<</span>uint32_t<span class="keyword">></span>(new_c_int));</div>
+<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  swap_with_partial();</div>
+<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  } <span class="keywordflow">else</span> {</div>
+<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="comment">// create sample size new_c_int + 1 then move_one_to_partial)</span></div>
+<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  subsample(<span class="keyword">static_cast<</span>uint32_t<span class="keyword">></span>(new_c_int) + 1);</div>
+<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  move_one_to_partial();</div>
+<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  }</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>  </div>
+<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">if</span> (new_c == new_c_int)</div>
+<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  partial_item_.reset();</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>  <span class="keywordflow">if</span> (new_c == new_c_int)</div>
-<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  partial_item_.reset();</div>
+<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  c_ = new_c;</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>  c_ = new_c;</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"> 125</span> <span class="keyword">template</span><<span class="keyword">typename</span> FwdSample></div>
-<div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="keywordtype">void</span> ebpps_sample<T,A>::merge(FwdSample&& other) {</div>
-<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordtype">double</span> c_int;</div>
-<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> c_frac = std::modf(c_, &c_int);</div>
+<div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <span class="keyword">template</span><<span class="keyword">typename</span> FwdSample></div>
+<div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <span class="keywordtype">void</span> ebpps_sample<T,A>::merge(FwdSample&& other) {</div>
+<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordtype">double</span> c_int;</div>
+<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> c_frac = std::modf(c_, &c_int);</div>
+<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  </div>
+<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordtype">double</span> unused;</div>
+<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> other_c_frac = std::modf(other.c_, &unused);</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  </div>
-<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordtype">double</span> unused;</div>
-<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> other_c_frac = std::modf(other.c_, &unused);</div>
+<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="comment">// update c_ here but do NOT recompute fractional part yet</span></div>
+<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  c_ += other.c_;</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>  <span class="comment">// update c_ here but do NOT recompute fractional part yet</span></div>
-<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  c_ += other.c_;</div>
+<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordflow">for</span> (uint32_t i = 0; i < other.data_.size(); ++i)</div>
+<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  data_.emplace_back(conditional_forward<FwdSample>(other.data_[i]));</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  </div>
-<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordflow">for</span> (uint32_t i = 0; i < other.data_.size(); ++i)</div>
-<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  data_.emplace_back(conditional_forward<FwdSample>(other.data_[i]));</div>
-<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  </div>
-<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="comment">// This modifies the original algorithm slightly due to numeric</span></div>
-<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="comment">// precision issues. Specifically, the test if c_frac + other_c_frac == 1.0</span></div>
-<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="comment">// happens before tests for < 1.0 or > 1.0 and can also be triggered</span></div>
-<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="comment">// if c_ == floor(c_) (the updated value of c_, not the input).</span></div>
-<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="comment">//</span></div>
-<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="comment">// We can still run into issues where c_frac + other_c_frac == epsilon</span></div>
-<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="comment">// and the first case would have ideally triggered. As a result, we must</span></div>
-<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="comment">// check if the partial item exists before adding to the data_ vector.</span></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> (c_frac == 0.0 && other_c_frac == 0.0) {</div>
-<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  partial_item_.reset();</div>
-<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (c_frac + other_c_frac == 1.0 || c_ == std::floor(c_)) {</div>
-<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <span class="keywordflow">if</span> (next_double() <= c_frac) {</div>
-<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordflow">if</span> (partial_item_)</div>
-<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  data_.emplace_back(std::move(*partial_item_));</div>
-<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  } <span class="keywordflow">else</span> {</div>
-<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keywordflow">if</span> (other.partial_item_)</div>
-<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  data_.emplace_back(conditional_forward<FwdSample>(*other.partial_item_));</div>
-<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  }</div>
-<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  partial_item_.reset();</div>
-<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (c_frac + other_c_frac < 1.0) {</div>
-<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordflow">if</span> (next_double() > c_frac / (c_frac + other_c_frac)) {</div>
-<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  set_partial(conditional_forward<FwdSample>(*other.partial_item_));</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>  } <span class="keywordflow">else</span> { <span class="comment">// c_frac + other_c_frac > 1</span></div>
-<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keywordflow">if</span> (next_double() <= (1 - c_frac) / ((1 - c_frac) + (1 - other_c_frac))) {</div>
-<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  data_.emplace_back(conditional_forward<FwdSample>(*other.partial_item_));</div>
-<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  } <span class="keywordflow">else</span> {</div>
-<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  data_.emplace_back(std::move(*partial_item_));</div>
-<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  partial_item_.reset();</div>
-<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  set_partial(conditional_forward<FwdSample>(*other.partial_item_));</div>
-<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  }</div>
-<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  }</div>
-<div class="line"><a name="l00172"></a><span class="lineno"> 172</span> }</div>
-<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  </div>
-<div class="line"><a name="l00174"></a><span class="lineno"> 174</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00175"></a><span class="lineno"> 175</span> string<A> ebpps_sample<T ,A>::to_string()<span class="keyword"> const </span>{</div>
-<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  std::ostringstream oss;</div>
-<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  oss << <span class="stringliteral">" sample:"</span> << std::endl;</div>
-<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  uint32_t idx = 0;</div>
-<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> T& item : data_)</div>
-<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  oss << <span class="stringliteral">"\t"</span> << idx++ << <span class="stringliteral">":\t"</span> << item << std::endl;</div>
-<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  oss << <span class="stringliteral">" partial: "</span>;</div>
-<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keywordflow">if</span> (<span class="keywordtype">bool</span>(partial_item_))</div>
-<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  oss << (*partial_item_) << std::endl;</div>
-<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keywordflow">else</span></div>
-<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  oss << <span class="stringliteral">"NULL"</span> << std::endl;</div>
+<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="comment">// This modifies the original algorithm slightly due to numeric</span></div>
+<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="comment">// precision issues. Specifically, the test if c_frac + other_c_frac == 1.0</span></div>
+<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="comment">// happens before tests for < 1.0 or > 1.0 and can also be triggered</span></div>
+<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="comment">// if c_ == floor(c_) (the updated value of c_, not the input).</span></div>
+<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="comment">//</span></div>
+<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="comment">// We can still run into issues where c_frac + other_c_frac == epsilon</span></div>
+<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="comment">// and the first case would have ideally triggered. As a result, we must</span></div>
+<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="comment">// check if the partial item exists before adding to the data_ vector.</span></div>
+<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  </div>
+<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keywordflow">if</span> (c_frac == 0.0 && other_c_frac == 0.0) {</div>
+<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  partial_item_.reset();</div>
+<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (c_frac + other_c_frac == 1.0 || c_ == std::floor(c_)) {</div>
+<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordflow">if</span> (next_double() <= c_frac) {</div>
+<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keywordflow">if</span> (partial_item_)</div>
+<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  data_.emplace_back(std::move(*partial_item_));</div>
+<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  } <span class="keywordflow">else</span> {</div>
+<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordflow">if</span> (other.partial_item_)</div>
+<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  data_.emplace_back(conditional_forward<FwdSample>(*other.partial_item_));</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>  partial_item_.reset();</div>
+<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (c_frac + other_c_frac < 1.0) {</div>
+<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keywordflow">if</span> (next_double() > c_frac / (c_frac + other_c_frac)) {</div>
+<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  set_partial(conditional_forward<FwdSample>(*other.partial_item_));</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>  } <span class="keywordflow">else</span> { <span class="comment">// c_frac + other_c_frac > 1</span></div>
+<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordflow">if</span> (next_double() <= (1 - c_frac) / ((1 - c_frac) + (1 - other_c_frac))) {</div>
+<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  data_.emplace_back(conditional_forward<FwdSample>(*other.partial_item_));</div>
+<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  } <span class="keywordflow">else</span> {</div>
+<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  data_.emplace_back(std::move(*partial_item_));</div>
+<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  partial_item_.reset();</div>
+<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  set_partial(conditional_forward<FwdSample>(*other.partial_item_));</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="l00169"></a><span class="lineno"> 169</span> }</div>
+<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  </div>
+<div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00172"></a><span class="lineno"> 172</span> string<A> ebpps_sample<T ,A>::to_string()<span class="keyword"> const </span>{</div>
+<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  std::ostringstream oss;</div>
+<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  oss << <span class="stringliteral">" sample:"</span> << std::endl;</div>
+<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  uint32_t idx = 0;</div>
+<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordflow">for</span> (<span class="keyword">const</span> T& item : data_)</div>
+<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  oss << <span class="stringliteral">"\t"</span> << idx++ << <span class="stringliteral">":\t"</span> << item << std::endl;</div>
+<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  oss << <span class="stringliteral">" partial: "</span>;</div>
+<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keywordflow">if</span> (<span class="keywordtype">bool</span>(partial_item_))</div>
+<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  oss << (*partial_item_) << std::endl;</div>
+<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">else</span></div>
+<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  oss << <span class="stringliteral">"NULL"</span> << std::endl;</div>
+<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  </div>
+<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keywordflow">return</span> oss.str();</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>  </div>
-<div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordflow">return</span> oss.str();</div>
-<div class="line"><a name="l00188"></a><span class="lineno"> 188</span> }</div>
-<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  </div>
-<div class="line"><a name="l00190"></a><span class="lineno"> 190</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00191"></a><span class="lineno"> 191</span> <span class="keywordtype">void</span> ebpps_sample<T,A>::subsample(uint32_t num_samples) {</div>
-<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="comment">// we can perform a Fisher-Yates style shuffle, stopping after</span></div>
-<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="comment">// num_samples points since subsequent swaps would only be</span></div>
-<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="comment">// between items after num_samples. This is valid since a</span></div>
-<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <span class="comment">// point from anywhere in the initial array would be eligible</span></div>
-<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="comment">// to end up in the final subsample.</span></div>
-<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  </div>
-<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <span class="keywordflow">if</span> (num_samples == data_.size()) <span class="keywordflow">return</span>;</div>
-<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  </div>
-<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="keyword">auto</span> erase_start = data_.begin();</div>
-<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  uint32_t data_len = <span class="keyword">static_cast<</span>uint32_t<span class="keyword">></span>(data_.size());</div>
-<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keywordflow">for</span> (uint32_t i = 0; i < num_samples; ++i, ++erase_start) {</div>
-<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  uint32_t j = i + random_idx(data_len - i);</div>
-<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  std::swap(data_[i], data_[j]);</div>
-<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  }</div>
+<div class="line"><a name="l00187"></a><span class="lineno"> 187</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00188"></a><span class="lineno"> 188</span> <span class="keywordtype">void</span> ebpps_sample<T,A>::subsample(uint32_t num_samples) {</div>
+<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="comment">// we can perform a Fisher-Yates style shuffle, stopping after</span></div>
+<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="comment">// num_samples points since subsequent swaps would only be</span></div>
+<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="comment">// between items after num_samples. This is valid since a</span></div>
+<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="comment">// point from anywhere in the initial array would be eligible</span></div>
+<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="comment">// to end up in the final subsample.</span></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="keywordflow">if</span> (num_samples == data_.size()) <span class="keywordflow">return</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">auto</span> erase_start = data_.begin();</div>
+<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  uint32_t data_len = <span class="keyword">static_cast<</span>uint32_t<span class="keyword">></span>(data_.size());</div>
+<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <span class="keywordflow">for</span> (uint32_t i = 0; i < num_samples; ++i, ++erase_start) {</div>
+<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  uint32_t j = i + random_idx(data_len - i);</div>
+<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  std::swap(data_[i], data_[j]);</div>
+<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  }</div>
+<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  </div>
+<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  data_.erase(erase_start, data_.end());</div>
+<div class="line"><a name="l00205"></a><span class="lineno"> 205</span> }</div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  </div>
-<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  data_.erase(erase_start, data_.end());</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> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00211"></a><span class="lineno"> 211</span> <span class="keyword">template</span><<span class="keyword">typename</span> FwdItem></div>
-<div class="line"><a name="l00212"></a><span class="lineno"> 212</span> <span class="keywordtype">void</span> ebpps_sample<T,A>::set_partial(FwdItem&& item) {</div>
-<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keywordflow">if</span> (partial_item_)</div>
-<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  *partial_item_ = conditional_forward<FwdItem>(item);</div>
-<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keywordflow">else</span></div>
-<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  partial_item_.emplace(conditional_forward<FwdItem>(item));</div>
-<div class="line"><a name="l00217"></a><span class="lineno"> 217</span> }</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">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00220"></a><span class="lineno"> 220</span> <span class="keywordtype">void</span> ebpps_sample<T,A>::move_one_to_partial() {</div>
-<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> idx = random_idx(<span class="keyword">static_cast<</span>uint32_t<span class="keyword">></span>(data_.size()));</div>
-<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="comment">// swap selected item to end so we can delete it easily</span></div>
-<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> last_idx = data_.size() - 1;</div>
-<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keywordflow">if</span> (idx != last_idx) {</div>
-<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  std::swap(data_[idx], data_[last_idx]);</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>  set_partial(std::move(data_[last_idx]));</div>
+<div class="line"><a name="l00207"></a><span class="lineno"> 207</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00208"></a><span class="lineno"> 208</span> <span class="keyword">template</span><<span class="keyword">typename</span> FwdItem></div>
+<div class="line"><a name="l00209"></a><span class="lineno"> 209</span> <span class="keywordtype">void</span> ebpps_sample<T,A>::set_partial(FwdItem&& item) {</div>
+<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keywordflow">if</span> (partial_item_)</div>
+<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  *partial_item_ = conditional_forward<FwdItem>(item);</div>
+<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keywordflow">else</span></div>
+<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  partial_item_.emplace(conditional_forward<FwdItem>(item));</div>
+<div class="line"><a name="l00214"></a><span class="lineno"> 214</span> }</div>
+<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  </div>
+<div class="line"><a name="l00216"></a><span class="lineno"> 216</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00217"></a><span class="lineno"> 217</span> <span class="keywordtype">void</span> ebpps_sample<T,A>::move_one_to_partial() {</div>
+<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> idx = random_idx(<span class="keyword">static_cast<</span>uint32_t<span class="keyword">></span>(data_.size()));</div>
+<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="comment">// swap selected item to end so we can delete it easily</span></div>
+<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> last_idx = data_.size() - 1;</div>
+<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keywordflow">if</span> (idx != last_idx) {</div>
+<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  std::swap(data_[idx], data_[last_idx]);</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>  </div>
+<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  set_partial(std::move(data_[last_idx]));</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>  data_.pop_back();</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="l00230"></a><span class="lineno"> 230</span>  data_.pop_back();</div>
-<div class="line"><a name="l00231"></a><span class="lineno"> 231</span> }</div>
-<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  </div>
-<div class="line"><a name="l00233"></a><span class="lineno"> 233</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00234"></a><span class="lineno"> 234</span> <span class="keywordtype">void</span> ebpps_sample<T,A>::swap_with_partial() {</div>
-<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="keywordflow">if</span> (partial_item_) {</div>
-<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> idx = random_idx(<span class="keyword">static_cast<</span>uint32_t<span class="keyword">></span>(data_.size()));</div>
-<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  std::swap(data_[idx], *partial_item_);</div>
-<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  } <span class="keywordflow">else</span> {</div>
-<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  move_one_to_partial();</div>
-<div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  }</div>
-<div class="line"><a name="l00241"></a><span class="lineno"> 241</span> }</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> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00244"></a><span class="lineno"> 244</span> <span class="keywordtype">void</span> ebpps_sample<T,A>::reset() {</div>
-<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  c_ = 0.0;</div>
-<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  partial_item_.reset();</div>
-<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  data_.clear();</div>
-<div class="line"><a name="l00248"></a><span class="lineno"> 248</span> }</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> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00251"></a><span class="lineno"> 251</span> <span class="keywordtype">double</span> ebpps_sample<T,A>::get_c()<span class="keyword"> const </span>{</div>
-<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="keywordflow">return</span> c_;</div>
-<div class="line"><a name="l00253"></a><span class="lineno"> 253</span> }</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">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00256"></a><span class="lineno"> 256</span> <span class="keyword">auto</span> ebpps_sample<T,A>::get_full_items() const -> result_type {</div>
-<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keywordflow">return</span> result_type(data_);</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>  </div>
-<div class="line"><a name="l00260"></a><span class="lineno"> 260</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00261"></a><span class="lineno"> 261</span> <span class="keywordtype">bool</span> ebpps_sample<T,A>::has_partial_item()<span class="keyword"> const </span>{</div>
-<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keywordflow">return</span> bool(partial_item_);</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>  </div>
-<div class="line"><a name="l00265"></a><span class="lineno"> 265</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00266"></a><span class="lineno"> 266</span> T ebpps_sample<T,A>::get_partial_item()<span class="keyword"> const </span>{</div>
-<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keywordflow">if</span> (!partial_item_) <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"Call to get_partial_item() when no partial item exists"</span>);</div>
-<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keywordflow">return</span> *partial_item_;</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>  </div>
-<div class="line"><a name="l00271"></a><span class="lineno"> 271</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00272"></a><span class="lineno"> 272</span> uint32_t ebpps_sample<T,A>::random_idx(uint32_t max) {</div>
-<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keyword">static</span> std::uniform_int_distribution<uint32_t> dist;</div>
-<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keywordflow">return</span> dist(random_utils::rand, std::uniform_int_distribution<uint32_t>::param_type(0, max - 1));</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>  </div>
-<div class="line"><a name="l00277"></a><span class="lineno"> 277</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00278"></a><span class="lineno"> 278</span> <span class="keywordtype">double</span> ebpps_sample<T,A>::next_double() {</div>
-<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <span class="keywordflow">return</span> random_utils::next_double(random_utils::rand);</div>
-<div class="line"><a name="l00280"></a><span class="lineno"> 280</span> }</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> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00283"></a><span class="lineno"> 283</span> uint32_t ebpps_sample<T,A>::get_num_retained_items()<span class="keyword"> const </span>{</div>
-<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="keywordflow">return</span> <span class="keyword">static_cast<</span>uint32_t<span class="keyword">></span>(data_.size() + (partial_item_ ? 1 : 0));</div>
-<div class="line"><a name="l00285"></a><span class="lineno"> 285</span> }</div>
-<div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  </div>
-<div class="line"><a name="l00287"></a><span class="lineno"> 287</span> <span class="comment">// implementation for fixed-size arithmetic types (integral and floating point)</span></div>
-<div class="line"><a name="l00288"></a><span class="lineno"> 288</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00289"></a><span class="lineno"> 289</span> template<typename TT, typename SerDe, typename std::enable_if<std::is_arithmetic<TT>::value, <span class="keywordtype">int</span>>::type></div>
-<div class="line"><a name="l00290"></a><span class="lineno"> 290</span> <span class="keywordtype">size_t</span> ebpps_sample<T, A>::get_serialized_size_bytes(<span class="keyword">const</span> SerDe&)<span class="keyword"> const </span>{</div>
-<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keywordflow">if</span> (c_ == 0.0)</div>
-<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keywordflow">return</span> 0;</div>
-<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  <span class="keywordflow">else</span></div>
-<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="keywordflow">return</span> <span class="keyword">sizeof</span>(c_) + (data_.size() + (partial_item_ ? 1 : 0)) * <span class="keyword">sizeof</span>(T);</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>  </div>
-<div class="line"><a name="l00297"></a><span class="lineno"> 297</span> <span class="comment">// implementation for all other types</span></div>
-<div class="line"><a name="l00298"></a><span class="lineno"> 298</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00299"></a><span class="lineno"> 299</span> template<typename TT, typename SerDe, typename std::enable_if<!std::is_arithmetic<TT>::value, <span class="keywordtype">int</span>>::type></div>
-<div class="line"><a name="l00300"></a><span class="lineno"> 300</span> <span class="keywordtype">size_t</span> ebpps_sample<T, A>::get_serialized_size_bytes(<span class="keyword">const</span> SerDe& sd)<span class="keyword"> const </span>{</div>
-<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordflow">if</span> (c_ == 0.0) <span class="keywordflow">return</span> 0;</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>  <span class="keywordtype">size_t</span> num_bytes = <span class="keyword">sizeof</span>(c_);</div>
-<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> it : data_)</div>
-<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  num_bytes += sd.size_of_item(it);</div>
+<div class="line"><a name="l00230"></a><span class="lineno"> 230</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00231"></a><span class="lineno"> 231</span> <span class="keywordtype">void</span> ebpps_sample<T,A>::swap_with_partial() {</div>
+<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordflow">if</span> (partial_item_) {</div>
+<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> idx = random_idx(<span class="keyword">static_cast<</span>uint32_t<span class="keyword">></span>(data_.size()));</div>
+<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  std::swap(data_[idx], *partial_item_);</div>
+<div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  } <span class="keywordflow">else</span> {</div>
+<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  move_one_to_partial();</div>
+<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  }</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>  </div>
+<div class="line"><a name="l00240"></a><span class="lineno"> 240</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00241"></a><span class="lineno"> 241</span> <span class="keywordtype">void</span> ebpps_sample<T,A>::reset() {</div>
+<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  c_ = 0.0;</div>
+<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  partial_item_.reset();</div>
+<div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  data_.clear();</div>
+<div class="line"><a name="l00245"></a><span class="lineno"> 245</span> }</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> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00248"></a><span class="lineno"> 248</span> <span class="keywordtype">double</span> ebpps_sample<T,A>::get_c()<span class="keyword"> const </span>{</div>
+<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keywordflow">return</span> c_;</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>  </div>
+<div class="line"><a name="l00252"></a><span class="lineno"> 252</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00253"></a><span class="lineno"> 253</span> <span class="keyword">auto</span> ebpps_sample<T,A>::get_full_items() const -> result_type {</div>
+<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <span class="keywordflow">return</span> result_type(data_);</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>  </div>
+<div class="line"><a name="l00257"></a><span class="lineno"> 257</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00258"></a><span class="lineno"> 258</span> <span class="keywordtype">bool</span> ebpps_sample<T,A>::has_partial_item()<span class="keyword"> const </span>{</div>
+<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="keywordflow">return</span> bool(partial_item_);</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="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00263"></a><span class="lineno"> 263</span> T ebpps_sample<T,A>::get_partial_item()<span class="keyword"> const </span>{</div>
+<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keywordflow">if</span> (!partial_item_) <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"Call to get_partial_item() when no partial item exists"</span>);</div>
+<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keywordflow">return</span> *partial_item_;</div>
+<div class="line"><a name="l00266"></a><span class="lineno"> 266</span> }</div>
+<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  </div>
+<div class="line"><a name="l00268"></a><span class="lineno"> 268</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00269"></a><span class="lineno"> 269</span> uint32_t ebpps_sample<T,A>::random_idx(uint32_t max) {</div>
+<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keyword">static</span> std::uniform_int_distribution<uint32_t> dist;</div>
+<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keywordflow">return</span> dist(random_utils::rand, std::uniform_int_distribution<uint32_t>::param_type(0, max - 1));</div>
+<div class="line"><a name="l00272"></a><span class="lineno"> 272</span> }</div>
+<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  </div>
+<div class="line"><a name="l00274"></a><span class="lineno"> 274</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00275"></a><span class="lineno"> 275</span> <span class="keywordtype">double</span> ebpps_sample<T,A>::next_double() {</div>
+<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keywordflow">return</span> random_utils::next_double(random_utils::rand);</div>
+<div class="line"><a name="l00277"></a><span class="lineno"> 277</span> }</div>
+<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  </div>
+<div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00280"></a><span class="lineno"> 280</span> uint32_t ebpps_sample<T,A>::get_num_retained_items()<span class="keyword"> const </span>{</div>
+<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keywordflow">return</span> <span class="keyword">static_cast<</span>uint32_t<span class="keyword">></span>(data_.size() + (partial_item_ ? 1 : 0));</div>
+<div class="line"><a name="l00282"></a><span class="lineno"> 282</span> }</div>
+<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  </div>
+<div class="line"><a name="l00284"></a><span class="lineno"> 284</span> <span class="comment">// implementation for fixed-size arithmetic types (integral and floating point)</span></div>
+<div class="line"><a name="l00285"></a><span class="lineno"> 285</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00286"></a><span class="lineno"> 286</span> template<typename TT, typename SerDe, typename std::enable_if<std::is_arithmetic<TT>::value, <span class="keywordtype">int</span>>::type></div>
+<div class="line"><a name="l00287"></a><span class="lineno"> 287</span> <span class="keywordtype">size_t</span> ebpps_sample<T, A>::get_serialized_size_bytes(<span class="keyword">const</span> SerDe&)<span class="keyword"> const </span>{</div>
+<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <span class="keywordflow">if</span> (c_ == 0.0)</div>
+<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="keywordflow">return</span> 0;</div>
+<div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keywordflow">else</span></div>
+<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keywordflow">return</span> <span class="keyword">sizeof</span>(c_) + (data_.size() + (partial_item_ ? 1 : 0)) * <span class="keyword">sizeof</span>(T);</div>
+<div class="line"><a name="l00292"></a><span class="lineno"> 292</span> }</div>
+<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  </div>
+<div class="line"><a name="l00294"></a><span class="lineno"> 294</span> <span class="comment">// implementation for all other types</span></div>
+<div class="line"><a name="l00295"></a><span class="lineno"> 295</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00296"></a><span class="lineno"> 296</span> template<typename TT, typename SerDe, typename std::enable_if<!std::is_arithmetic<TT>::value, <span class="keywordtype">int</span>>::type></div>
+<div class="line"><a name="l00297"></a><span class="lineno"> 297</span> <span class="keywordtype">size_t</span> ebpps_sample<T, A>::get_serialized_size_bytes(<span class="keyword">const</span> SerDe& sd)<span class="keyword"> const </span>{</div>
+<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="keywordflow">if</span> (c_ == 0.0) <span class="keywordflow">return</span> 0;</div>
+<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  </div>
+<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="keywordtype">size_t</span> num_bytes = <span class="keyword">sizeof</span>(c_);</div>
+<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> it : data_)</div>
+<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  num_bytes += sd.size_of_item(it);</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>  <span class="keywordflow">if</span> (partial_item_)</div>
+<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  num_bytes += sd.size_of_item(*partial_item_);</div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  </div>
-<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keywordflow">if</span> (partial_item_)</div>
-<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  num_bytes += sd.size_of_item(*partial_item_);</div>
+<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keywordflow">return</span> num_bytes;</div>
+<div class="line"><a name="l00308"></a><span class="lineno"> 308</span> }</div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  </div>
-<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keywordflow">return</span> num_bytes;</div>
-<div class="line"><a name="l00311"></a><span class="lineno"> 311</span> }</div>
-<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  </div>
-<div class="line"><a name="l00313"></a><span class="lineno"> 313</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00314"></a><span class="lineno"> 314</span> <span class="keyword">template</span><<span class="keyword">typename</span> SerDe></div>
-<div class="line"><a name="l00315"></a><span class="lineno"> 315</span> <span class="keywordtype">size_t</span> ebpps_sample<T,A>::serialize(uint8_t* ptr, <span class="keyword">const</span> uint8_t* end_ptr, <span class="keyword">const</span> SerDe& sd)<span class="keyword"> const </span>{</div>
-<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  uint8_t* st_ptr = ptr;</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>  ensure_minimum_memory(end_ptr - ptr, <span class="keyword">sizeof</span>(c_));</div>
-<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  ptr += copy_to_mem(c_, ptr);</div>
-<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  </div>
-<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  ptr += sd.serialize(ptr, end_ptr - ptr, data_.data(), <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span><span class="keyword">></span>(data_.size()));</div>
-<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  </div>
-<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="keywordflow">if</span> (partial_item_) {</div>
-<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  ptr += sd.serialize(ptr, end_ptr - ptr, &*partial_item_, 1);</div>
-<div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  }</div>
+<div class="line"><a name="l00310"></a><span class="lineno"> 310</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00311"></a><span class="lineno"> 311</span> <span class="keyword">template</span><<span class="keyword">typename</span> SerDe></div>
+<div class="line"><a name="l00312"></a><span class="lineno"> 312</span> <span class="keywordtype">size_t</span> ebpps_sample<T,A>::serialize(uint8_t* ptr, <span class="keyword">const</span> uint8_t* end_ptr, <span class="keyword">const</span> SerDe& sd)<span class="keyword"> const </span>{</div>
+<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  uint8_t* st_ptr = ptr;</div>
+<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  </div>
+<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  ensure_minimum_memory(end_ptr - ptr, <span class="keyword">sizeof</span>(c_));</div>
+<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  ptr += copy_to_mem(c_, ptr);</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>  ptr += sd.serialize(ptr, end_ptr - ptr, data_.data(), <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span><span class="keyword">></span>(data_.size()));</div>
+<div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  </div>
+<div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  <span class="keywordflow">if</span> (partial_item_) {</div>
+<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  ptr += sd.serialize(ptr, end_ptr - ptr, &*partial_item_, 1);</div>
+<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  }</div>
+<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  </div>
+<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <span class="keywordflow">return</span> ptr - st_ptr;</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>  </div>
-<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="keywordflow">return</span> ptr - st_ptr;</div>
-<div class="line"><a name="l00328"></a><span class="lineno"> 328</span> }</div>
-<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  </div>
-<div class="line"><a name="l00330"></a><span class="lineno"> 330</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00331"></a><span class="lineno"> 331</span> <span class="keyword">template</span><<span class="keyword">typename</span> SerDe></div>
-<div class="line"><a name="l00332"></a><span class="lineno"> 332</span> <span class="keywordtype">void</span> ebpps_sample<T,A>::serialize(std::ostream& os, <span class="keyword">const</span> SerDe& sd)<span class="keyword"> const </span>{</div>
-<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  write(os, c_);</div>
-<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  </div>
-<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  sd.serialize(os, data_.data(), <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span><span class="keyword">></span>(data_.size()));</div>
+<div class="line"><a name="l00327"></a><span class="lineno"> 327</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00328"></a><span class="lineno"> 328</span> <span class="keyword">template</span><<span class="keyword">typename</span> SerDe></div>
+<div class="line"><a name="l00329"></a><span class="lineno"> 329</span> <span class="keywordtype">void</span> ebpps_sample<T,A>::serialize(std::ostream& os, <span class="keyword">const</span> SerDe& sd)<span class="keyword"> const </span>{</div>
+<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  write(os, c_);</div>
+<div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  </div>
+<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  sd.serialize(os, data_.data(), <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span><span class="keyword">></span>(data_.size()));</div>
+<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  </div>
+<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  <span class="keywordflow">if</span> (partial_item_)</div>
+<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  sd.serialize(os, &*partial_item_, 1);</div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  </div>
-<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <span class="keywordflow">if</span> (partial_item_)</div>
-<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  sd.serialize(os, &*partial_item_, 1);</div>
+<div class="line"><a name="l00337"></a><span class="lineno"> 337</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="l00338"></a><span class="lineno"> 338</span> }</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>  <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="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="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00344"></a><span class="lineno"> 344</span> <span class="keyword">template</span><<span class="keyword">typename</span> SerDe></div>
-<div class="line"><a name="l00345"></a><span class="lineno"> 345</span> std::pair<ebpps_sample<T, A>, <span class="keywordtype">size_t</span>> ebpps_sample<T, A>::deserialize(<span class="keyword">const</span> uint8_t* ptr, <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="l00346"></a><span class="lineno"> 346</span>  <span class="keyword">const</span> uint8_t* st_ptr = ptr;</div>
-<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keyword">const</span> uint8_t* end_ptr = ptr + size;</div>
-<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  </div>
-<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  ensure_minimum_memory(size, <span class="keyword">sizeof</span>(<span class="keywordtype">double</span>));</div>
-<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keywordtype">double</span> c;</div>
-<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  ptr += copy_from_mem(ptr, c);</div>
-<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="keywordflow">if</span> (c < 0.0)</div>
-<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"sketch image has C < 0.0 during deserializaiton"</span>);</div>
-<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  </div>
-<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="keywordtype">double</span> c_int;</div>
-<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> c_frac = std::modf(c, &c_int);</div>
-<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> has_partial = c_frac != 0.0;</div>
-<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  </div>
-<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <span class="keyword">const</span> uint32_t num_full_items = <span class="keyword">static_cast<</span>uint32_t<span class="keyword">></span>(c_int);</div>
-<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  A alloc(allocator);</div>
-<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  std::unique_ptr<T, items_deleter> items(alloc.allocate(num_full_items), items_deleter(allocator, <span class="keyword">false</span>, num_full_items));</div>
-<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  ptr += sd.deserialize(ptr, end_ptr - ptr, items.get(), num_full_items);</div>
-<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <span class="comment">// serde did not throw, enable destructors</span></div>
-<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  items.get_deleter().set_destroy(<span class="keyword">true</span>);</div>
-<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  std::vector<T, A> data(std::make_move_iterator(items.get()),</div>
-<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  std::make_move_iterator(items.get() + num_full_items),</div>
-<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  allocator);</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>  optional<T> partial_item;</div>
-<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <span class="keywordflow">if</span> (has_partial) {</div>
-<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  optional<T> tmp; <span class="comment">// space to deserialize</span></div>
-<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  ptr += sd.deserialize(ptr, end_ptr - ptr, &*tmp, 1);</div>
-<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  <span class="comment">// serde did not throw so place item and clean up</span></div>
-<div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  partial_item.emplace(*tmp);</div>
-<div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  (*tmp).~T();</div>
-<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  }</div>
-<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  </div>
-<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <span class="keywordflow">return</span> std::pair<ebpps_sample<T,A>, <span class="keywordtype">size_t</span>>(</div>
-<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  ebpps_sample<T,A>(std::move(data), std::move(partial_item), c, allocator),</div>
-<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  ptr - st_ptr);</div>
-<div class="line"><a name="l00381"></a><span class="lineno"> 381</span> }</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> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00384"></a><span class="lineno"> 384</span> <span class="keyword">template</span><<span class="keyword">typename</span> SerDe></div>
-<div class="line"><a name="l00385"></a><span class="lineno"> 385</span> ebpps_sample<T, A> ebpps_sample<T, A>::deserialize(std::istream& is, <span class="keyword">const</span> SerDe& sd, <span class="keyword">const</span> A& allocator) {</div>
-<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> c = read<double>(is);</div>
-<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="keywordflow">if</span> (c < 0.0)</div>
-<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"sketch image has C < 0.0 during deserializaiton"</span>);</div>
-<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  </div>
-<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  <span class="keywordtype">double</span> c_int;</div>
-<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> c_frac = std::modf(c, &c_int);</div>
-<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> has_partial = c_frac != 0.0;</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="keyword">const</span> uint32_t num_full_items = <span class="keyword">static_cast<</span>uint32_t<span class="keyword">></span>(c_int);</div>
-<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  A alloc(allocator);</div>
-<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  std::unique_ptr<T, items_deleter> items(alloc.allocate(num_full_items), items_deleter(allocator, <span class="keyword">false</span>, num_full_items));</div>
-<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  sd.deserialize(is, items.get(), num_full_items);</div>
-<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  <span class="comment">// serde did not throw, enable destructors</span></div>
-<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  items.get_deleter().set_destroy(<span class="keyword">true</span>);</div>
-<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  std::vector<T, A> data(std::make_move_iterator(items.get()),</div>
-<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  std::make_move_iterator(items.get() + num_full_items),</div>
-<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  allocator);</div>
-<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  </div>
-<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  optional<T> partial_item;</div>
-<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="keywordflow">if</span> (has_partial) {</div>
-<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  optional<T> tmp; <span class="comment">// space to deserialize</span></div>
-<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  sd.deserialize(is, &*tmp, 1);</div>
-<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="comment">// serde did not throw so place item and clean up</span></div>
-<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  partial_item.emplace(*tmp);</div>
-<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  (*tmp).~T();</div>
-<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  }</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="keywordflow">if</span> (!is.good()) <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"error reading from std::istream"</span>);</div>
+<div class="line"><a name="l00340"></a><span class="lineno"> 340</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00341"></a><span class="lineno"> 341</span> <span class="keyword">template</span><<span class="keyword">typename</span> SerDe></div>
+<div class="line"><a name="l00342"></a><span class="lineno"> 342</span> std::pair<ebpps_sample<T, A>, <span class="keywordtype">size_t</span>> ebpps_sample<T, A>::deserialize(<span class="keyword">const</span> uint8_t* ptr, <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="l00343"></a><span class="lineno"> 343</span>  <span class="keyword">const</span> uint8_t* st_ptr = ptr;</div>
+<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keyword">const</span> uint8_t* end_ptr = ptr + size;</div>
+<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  </div>
+<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  ensure_minimum_memory(size, <span class="keyword">sizeof</span>(<span class="keywordtype">double</span>));</div>
+<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keywordtype">double</span> c;</div>
+<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  ptr += copy_from_mem(ptr, c);</div>
+<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  <span class="keywordflow">if</span> (c < 0.0)</div>
+<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"sketch image has C < 0.0 during deserializaiton"</span>);</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="keywordtype">double</span> c_int;</div>
+<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> c_frac = std::modf(c, &c_int);</div>
+<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> has_partial = c_frac != 0.0;</div>
+<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  </div>
+<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  <span class="keyword">const</span> uint32_t num_full_items = <span class="keyword">static_cast<</span>uint32_t<span class="keyword">></span>(c_int);</div>
+<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  A alloc(allocator);</div>
+<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  std::unique_ptr<T, items_deleter> items(alloc.allocate(num_full_items), items_deleter(allocator, <span class="keyword">false</span>, num_full_items));</div>
+<div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  ptr += sd.deserialize(ptr, end_ptr - ptr, items.get(), num_full_items);</div>
+<div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <span class="comment">// serde did not throw, enable destructors</span></div>
+<div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  items.get_deleter().set_destroy(<span class="keyword">true</span>);</div>
+<div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  std::vector<T, A> data(std::make_move_iterator(items.get()),</div>
+<div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  std::make_move_iterator(items.get() + num_full_items),</div>
+<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  allocator);</div>
+<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  </div>
+<div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  optional<T> partial_item;</div>
+<div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <span class="keywordflow">if</span> (has_partial) {</div>
+<div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  optional<T> tmp; <span class="comment">// space to deserialize</span></div>
+<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  ptr += sd.deserialize(ptr, end_ptr - ptr, &*tmp, 1);</div>
+<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  <span class="comment">// serde did not throw so place item and clean up</span></div>
+<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  partial_item.emplace(*tmp);</div>
+<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  (*tmp).~T();</div>
+<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  }</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>  <span class="keywordflow">return</span> std::pair<ebpps_sample<T,A>, <span class="keywordtype">size_t</span>>(</div>
+<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  ebpps_sample<T,A>(std::move(data), std::move(partial_item), c, allocator),</div>
+<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  ptr - st_ptr);</div>
+<div class="line"><a name="l00378"></a><span class="lineno"> 378</span> }</div>
+<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  </div>
+<div class="line"><a name="l00380"></a><span class="lineno"> 380</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00381"></a><span class="lineno"> 381</span> <span class="keyword">template</span><<span class="keyword">typename</span> SerDe></div>
+<div class="line"><a name="l00382"></a><span class="lineno"> 382</span> ebpps_sample<T, A> ebpps_sample<T, A>::deserialize(std::istream& is, <span class="keyword">const</span> SerDe& sd, <span class="keyword">const</span> A& allocator) {</div>
+<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> c = read<double>(is);</div>
+<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <span class="keywordflow">if</span> (c < 0.0)</div>
+<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"sketch image has C < 0.0 during deserializaiton"</span>);</div>
+<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  </div>
+<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="keywordtype">double</span> c_int;</div>
+<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> c_frac = std::modf(c, &c_int);</div>
+<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> has_partial = c_frac != 0.0;</div>
+<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  </div>
+<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  <span class="keyword">const</span> uint32_t num_full_items = <span class="keyword">static_cast<</span>uint32_t<span class="keyword">></span>(c_int);</div>
+<div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  A alloc(allocator);</div>
+<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  std::unique_ptr<T, items_deleter> items(alloc.allocate(num_full_items), items_deleter(allocator, <span class="keyword">false</span>, num_full_items));</div>
+<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  sd.deserialize(is, items.get(), num_full_items);</div>
+<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="comment">// serde did not throw, enable destructors</span></div>
+<div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  items.get_deleter().set_destroy(<span class="keyword">true</span>);</div>
+<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  std::vector<T, A> data(std::make_move_iterator(items.get()),</div>
+<div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  std::make_move_iterator(items.get() + num_full_items),</div>
+<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  allocator);</div>
+<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  </div>
+<div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  optional<T> partial_item;</div>
+<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keywordflow">if</span> (has_partial) {</div>
+<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  optional<T> tmp; <span class="comment">// space to deserialize</span></div>
+<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  sd.deserialize(is, &*tmp, 1);</div>
+<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  <span class="comment">// serde did not throw so place item and clean up</span></div>
+<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  partial_item.emplace(*tmp);</div>
+<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  (*tmp).~T();</div>
+<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  }</div>
+<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  </div>
+<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="keywordflow">if</span> (!is.good()) <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"error reading from std::istream"</span>);</div>
+<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  </div>
+<div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <span class="keywordflow">return</span> ebpps_sample<T,A>(std::move(data), std::move(partial_item), c, allocator);</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>  </div>
-<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="keywordflow">return</span> ebpps_sample<T,A>(std::move(data), std::move(partial_item), c, allocator);</div>
-<div class="line"><a name="l00416"></a><span class="lineno"> 416</span> }</div>
-<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  </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">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00420"></a><span class="lineno"> 420</span> <span class="keyword">typename</span> ebpps_sample<T, A>::const_iterator ebpps_sample<T, A>::begin()<span class="keyword"> const </span>{</div>
-<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <span class="keywordflow">return</span> const_iterator(<span class="keyword">this</span>);</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>  </div>
-<div class="line"><a name="l00424"></a><span class="lineno"> 424</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00425"></a><span class="lineno"> 425</span> <span class="keyword">typename</span> ebpps_sample<T, A>::const_iterator ebpps_sample<T, A>::end()<span class="keyword"> const </span>{</div>
-<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <span class="keywordflow">return</span> const_iterator(<span class="keyword">nullptr</span>);</div>
-<div class="line"><a name="l00427"></a><span class="lineno"> 427</span> }</div>
+<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  </div>
+<div class="line"><a name="l00416"></a><span class="lineno"> 416</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00417"></a><span class="lineno"> 417</span> <span class="keyword">typename</span> ebpps_sample<T, A>::const_iterator ebpps_sample<T, A>::begin()<span class="keyword"> const </span>{</div>
+<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <span class="keywordflow">return</span> const_iterator(<span class="keyword">this</span>);</div>
+<div class="line"><a name="l00419"></a><span class="lineno"> 419</span> }</div>
+<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  </div>
+<div class="line"><a name="l00421"></a><span class="lineno"> 421</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00422"></a><span class="lineno"> 422</span> <span class="keyword">typename</span> ebpps_sample<T, A>::const_iterator ebpps_sample<T, A>::end()<span class="keyword"> const </span>{</div>
+<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="keywordflow">return</span> const_iterator(<span class="keyword">nullptr</span>);</div>
+<div class="line"><a name="l00424"></a><span class="lineno"> 424</span> }</div>
+<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  </div>
+<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  </div>
+<div class="line"><a name="l00427"></a><span class="lineno"> 427</span> <span class="comment">// -------- ebpps_sketch::const_iterator implementation ---------</span></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>  </div>
-<div class="line"><a name="l00430"></a><span class="lineno"> 430</span> <span class="comment">// -------- ebpps_sketch::const_iterator implementation ---------</span></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">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00433"></a><span class="lineno"> 433</span> ebpps_sample<T, A>::const_iterator::const_iterator(<span class="keyword">const</span> ebpps_sample* sample) :</div>
-<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  sample_(sample),</div>
-<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  idx_(0),</div>
-<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  use_partial_(false)</div>
-<div class="line"><a name="l00437"></a><span class="lineno"> 437</span> {</div>
-<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <span class="keywordflow">if</span> (sample == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <span class="keywordflow">return</span>;</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>  <span class="comment">// determine in advance if we use the partial item</span></div>
-<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  <span class="keywordtype">double</span> c_int;</div>
-<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> c_frac = std::modf(sample_->get_c(), &c_int);</div>
-<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  use_partial_ = sample->next_double() < c_frac;</div>
-<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  </div>
-<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="comment">// sample with no items</span></div>
-<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="keywordflow">if</span> (sample_->data_.size() == 0 && use_partial_) {</div>
-<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  idx_ = PARTIAL_IDX;</div>
-<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  }</div>
+<div class="line"><a name="l00429"></a><span class="lineno"> 429</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00430"></a><span class="lineno"> 430</span> ebpps_sample<T, A>::const_iterator::const_iterator(<span class="keyword">const</span> ebpps_sample* sample) :</div>
+<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  sample_(sample),</div>
+<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  idx_(0),</div>
+<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  use_partial_(false)</div>
+<div class="line"><a name="l00434"></a><span class="lineno"> 434</span> {</div>
+<div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <span class="keywordflow">if</span> (sample == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l00436"></a><span class="lineno"> 436</span>  <span class="keywordflow">return</span>;</div>
+<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  </div>
+<div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  <span class="comment">// determine in advance if we use the partial item</span></div>
+<div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  <span class="keywordtype">double</span> c_int;</div>
+<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> c_frac = std::modf(sample_->get_c(), &c_int);</div>
+<div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  use_partial_ = sample->next_double() < c_frac;</div>
+<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  </div>
+<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="comment">// sample with no items</span></div>
+<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <span class="keywordflow">if</span> (sample_->data_.size() == 0 && use_partial_) {</div>
+<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  idx_ = PARTIAL_IDX;</div>
+<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  }</div>
+<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  </div>
+<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keywordflow">if</span> (sample_->c_== 0.0 || (sample_->data_.size() == 0 && !sample_->has_partial_item())) { sample_ = <span class="keyword">nullptr</span>; }</div>
+<div class="line"><a name="l00449"></a><span class="lineno"> 449</span> }</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>  <span class="keywordflow">if</span> (sample_->c_== 0.0 || (sample_->data_.size() == 0 && !sample_->has_partial_item())) { sample_ = <span class="keyword">nullptr</span>; }</div>
-<div class="line"><a name="l00452"></a><span class="lineno"> 452</span> }</div>
-<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  </div>
-<div class="line"><a name="l00454"></a><span class="lineno"> 454</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00455"></a><span class="lineno"> 455</span> ebpps_sample<T, A>::const_iterator::const_iterator(<span class="keyword">const</span> const_iterator& other) :</div>
-<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  sample_(other.sample_),</div>
-<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  idx_(other.idx_),</div>
-<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  use_partial_(other.use_partial_)</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>  </div>
-<div class="line"><a name="l00461"></a><span class="lineno"> 461</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00462"></a><span class="lineno"> 462</span> <span class="keyword">typename</span> ebpps_sample<T, A>::const_iterator& ebpps_sample<T, A>::const_iterator::operator++() {</div>
-<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  <span class="keywordflow">if</span> (sample_ == <span class="keyword">nullptr</span>)</div>
-<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
-<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (idx_ == PARTIAL_IDX) {</div>
-<div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  idx_ = sample_->data_.size();</div>
-<div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  sample_ = <span class="keyword">nullptr</span>;</div>
-<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <span class="keywordflow">return</span> * <span class="keyword">this</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>  </div>
-<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  ++idx_;</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="keywordflow">if</span> (idx_ == sample_->data_.size()) {</div>
-<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  <span class="keywordflow">if</span> (use_partial_)</div>
-<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  idx_ = PARTIAL_IDX;</div>
-<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  <span class="keywordflow">else</span></div>
-<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  sample_ = <span class="keyword">nullptr</span>;</div>
-<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  }</div>
+<div class="line"><a name="l00451"></a><span class="lineno"> 451</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00452"></a><span class="lineno"> 452</span> ebpps_sample<T, A>::const_iterator::const_iterator(<span class="keyword">const</span> const_iterator& other) :</div>
+<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  sample_(other.sample_),</div>
+<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  idx_(other.idx_),</div>
+<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  use_partial_(other.use_partial_)</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>  </div>
+<div class="line"><a name="l00458"></a><span class="lineno"> 458</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00459"></a><span class="lineno"> 459</span> <span class="keyword">typename</span> ebpps_sample<T, A>::const_iterator& ebpps_sample<T, A>::const_iterator::operator++() {</div>
+<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <span class="keywordflow">if</span> (sample_ == <span class="keyword">nullptr</span>)</div>
+<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
+<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (idx_ == PARTIAL_IDX) {</div>
+<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  idx_ = sample_->data_.size();</div>
+<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  sample_ = <span class="keyword">nullptr</span>;</div>
+<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="keywordflow">return</span> * <span class="keyword">this</span>;</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>  </div>
+<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  ++idx_;</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">if</span> (idx_ == sample_->data_.size()) {</div>
+<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  <span class="keywordflow">if</span> (use_partial_)</div>
+<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  idx_ = PARTIAL_IDX;</div>
+<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <span class="keywordflow">else</span></div>
+<div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  sample_ = <span class="keyword">nullptr</span>;</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>  </div>
+<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
+<div class="line"><a name="l00478"></a><span class="lineno"> 478</span> }</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>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div>
-<div class="line"><a name="l00481"></a><span class="lineno"> 481</span> }</div>
-<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  </div>
-<div class="line"><a name="l00483"></a><span class="lineno"> 483</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00484"></a><span class="lineno"> 484</span> <span class="keyword">typename</span> ebpps_sample<T, A>::const_iterator& ebpps_sample<T, A>::const_iterator::operator++(<span class="keywordtype">int</span>) {</div>
-<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  const_iterator tmp(*<span class="keyword">this</span>);</div>
-<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  operator++();</div>
-<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <span class="keywordflow">return</span> tmp;</div>
-<div class="line"><a name="l00488"></a><span class="lineno"> 488</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> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00491"></a><span class="lineno"> 491</span> <span class="keywordtype">bool</span> ebpps_sample<T, A>::const_iterator::operator==(<span class="keyword">const</span> const_iterator& other)<span class="keyword"> const </span>{</div>
-<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="keywordflow">if</span> (sample_ != other.sample_) <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
-<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  <span class="keywordflow">if</span> (sample_ == <span class="keyword">nullptr</span>) <span class="keywordflow">return</span> <span class="keyword">true</span>; <span class="comment">// end (and we know other.sample_ is also null)</span></div>
-<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  <span class="keywordflow">return</span> idx_ == other.idx_;</div>
-<div class="line"><a name="l00495"></a><span class="lineno"> 495</span> }</div>
-<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  </div>
-<div class="line"><a name="l00497"></a><span class="lineno"> 497</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00498"></a><span class="lineno"> 498</span> <span class="keywordtype">bool</span> ebpps_sample<T, A>::const_iterator::operator!=(<span class="keyword">const</span> const_iterator& other)<span class="keyword"> const </span>{</div>
-<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <span class="keywordflow">return</span> !operator==(other);</div>
-<div class="line"><a name="l00500"></a><span class="lineno"> 500</span> }</div>
-<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  </div>
-<div class="line"><a name="l00502"></a><span class="lineno"> 502</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00503"></a><span class="lineno"> 503</span> <span class="keyword">auto</span> ebpps_sample<T, A>::const_iterator::operator*() const -> reference {</div>
-<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <span class="keywordflow">if</span> (idx_ == PARTIAL_IDX)</div>
-<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <span class="keywordflow">return</span> *(sample_->partial_item_);</div>
-<div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="keywordflow">else</span></div>
-<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <span class="keywordflow">return</span> sample_->data_[idx_];</div>
-<div class="line"><a name="l00508"></a><span class="lineno"> 508</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="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00511"></a><span class="lineno"> 511</span> <span class="keyword">auto</span> ebpps_sample<T, A>::const_iterator::operator->() const -> pointer {</div>
-<div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <span class="keywordflow">return</span> **<span class="keyword">this</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>  </div>
-<div class="line"><a name="l00515"></a><span class="lineno"> 515</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
-<div class="line"><a name="l00516"></a><span class="lineno"> 516</span> <span class="keyword">class </span>ebpps_sample<T, A>::items_deleter {</div>
-<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="keyword">public</span>:</div>
-<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  items_deleter(<span class="keyword">const</span> A& allocator, <span class="keywordtype">bool</span> destroy, <span class="keywordtype">size_t</span> num): allocator_(allocator), destroy_(destroy), num_(num) {}</div>
-<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <span class="keywordtype">void</span> operator() (T* ptr) {</div>
-<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  <span class="keywordflow">if</span> (ptr != <span class="keyword">nullptr</span>) {</div>
-<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  <span class="keywordflow">if</span> (destroy_) {</div>
-<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < num_; ++i) {</div>
-<div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  ptr[i].~T();</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>  }</div>
-<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  allocator_.deallocate(ptr, num_);</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="keywordtype">void</span> set_destroy(<span class="keywordtype">bool</span> destroy) { destroy_ = destroy; }</div>
-<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <span class="keyword">private</span>:</div>
-<div class="line"><a name="l00531"></a><span class="lineno"> 531</span>  A allocator_;</div>
-<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  <span class="keywordtype">bool</span> destroy_;</div>
-<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <span class="keywordtype">size_t</span> num_;</div>
-<div class="line"><a name="l00534"></a><span class="lineno"> 534</span> };</div>
+<div class="line"><a name="l00480"></a><span class="lineno"> 480</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00481"></a><span class="lineno"> 481</span> <span class="keyword">typename</span> ebpps_sample<T, A>::const_iterator& ebpps_sample<T, A>::const_iterator::operator++(<span class="keywordtype">int</span>) {</div>
+<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  const_iterator tmp(*<span class="keyword">this</span>);</div>
+<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  operator++();</div>
+<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  <span class="keywordflow">return</span> tmp;</div>
+<div class="line"><a name="l00485"></a><span class="lineno"> 485</span> }</div>
+<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  </div>
+<div class="line"><a name="l00487"></a><span class="lineno"> 487</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00488"></a><span class="lineno"> 488</span> <span class="keywordtype">bool</span> ebpps_sample<T, A>::const_iterator::operator==(<span class="keyword">const</span> const_iterator& other)<span class="keyword"> const </span>{</div>
+<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="keywordflow">if</span> (sample_ != other.sample_) <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
+<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <span class="keywordflow">if</span> (sample_ == <span class="keyword">nullptr</span>) <span class="keywordflow">return</span> <span class="keyword">true</span>; <span class="comment">// end (and we know other.sample_ is also null)</span></div>
+<div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  <span class="keywordflow">return</span> idx_ == other.idx_;</div>
+<div class="line"><a name="l00492"></a><span class="lineno"> 492</span> }</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> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00495"></a><span class="lineno"> 495</span> <span class="keywordtype">bool</span> ebpps_sample<T, A>::const_iterator::operator!=(<span class="keyword">const</span> const_iterator& other)<span class="keyword"> const </span>{</div>
+<div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  <span class="keywordflow">return</span> !operator==(other);</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>  </div>
+<div class="line"><a name="l00499"></a><span class="lineno"> 499</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00500"></a><span class="lineno"> 500</span> <span class="keyword">auto</span> ebpps_sample<T, A>::const_iterator::operator*() const -> reference {</div>
+<div class="line"><a name="l00501"></a><span class="lineno"> 501</span>  <span class="keywordflow">if</span> (idx_ == PARTIAL_IDX)</div>
+<div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <span class="keywordflow">return</span> *(sample_->partial_item_);</div>
+<div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  <span class="keywordflow">else</span></div>
+<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  <span class="keywordflow">return</span> sample_->data_[idx_];</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>  </div>
+<div class="line"><a name="l00507"></a><span class="lineno"> 507</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00508"></a><span class="lineno"> 508</span> <span class="keyword">auto</span> ebpps_sample<T, A>::const_iterator::operator->() const -> pointer {</div>
+<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  <span class="keywordflow">return</span> **<span class="keyword">this</span>;</div>
+<div class="line"><a name="l00510"></a><span class="lineno"> 510</span> }</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="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00513"></a><span class="lineno"> 513</span> <span class="keyword">class </span>ebpps_sample<T, A>::items_deleter {</div>
+<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  <span class="keyword">public</span>:</div>
+<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  items_deleter(<span class="keyword">const</span> A& allocator, <span class="keywordtype">bool</span> destroy, <span class="keywordtype">size_t</span> num): allocator_(allocator), destroy_(destroy), num_(num) {}</div>
+<div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="keywordtype">void</span> operator() (T* ptr) {</div>
+<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  <span class="keywordflow">if</span> (ptr != <span class="keyword">nullptr</span>) {</div>
+<div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  <span class="keywordflow">if</span> (destroy_) {</div>
+<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < num_; ++i) {</div>
+<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  ptr[i].~T();</div>
+<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  }</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>  allocator_.deallocate(ptr, num_);</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>  }</div>
+<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <span class="keywordtype">void</span> set_destroy(<span class="keywordtype">bool</span> destroy) { destroy_ = destroy; }</div>
+<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  <span class="keyword">private</span>:</div>
+<div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  A allocator_;</div>
+<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  <span class="keywordtype">bool</span> destroy_;</div>
+<div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  <span class="keywordtype">size_t</span> num_;</div>
+<div class="line"><a name="l00531"></a><span class="lineno"> 531</span> };</div>
+<div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  </div>
+<div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  </div>
+<div class="line"><a name="l00534"></a><span class="lineno"> 534</span> } <span class="comment">// namespace datasketches</span></div>
<div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  </div>
-<div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  </div>
-<div class="line"><a name="l00537"></a><span class="lineno"> 537</span> } <span class="comment">// namespace datasketches</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="preprocessor">#endif </span><span class="comment">// _EBPPS_SAMPLE_IMPL_HPP_</span></div>
+<div class="line"><a name="l00536"></a><span class="lineno"> 536</span> <span class="preprocessor">#endif </span><span class="comment">// _EBPPS_SAMPLE_IMPL_HPP_</span></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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diff --git a/docs/master/ebpps__sketch_8hpp_source.html b/docs/master/ebpps__sketch_8hpp_source.html
index db0410b..9cb7d6f 100644
--- a/docs/master/ebpps__sketch_8hpp_source.html
+++ b/docs/master/ebpps__sketch_8hpp_source.html
@@ -188,49 +188,51 @@ $(function() {
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  </div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  ebpps_sample<T,A> sample_; <span class="comment">// Object holding the current state of the sample</span></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="comment">// handles merge after ensuring other.cumulative_wt_ <= this->cumulative_wt_</span></div>
-<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  <span class="comment">// so we can send items in individually</span></div>
-<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keyword">template</span><<span class="keyword">typename</span> O></div>
-<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keywordtype">void</span> internal_merge(O&& other);</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>  <a class="code" href="classdatasketches_1_1ebpps__sketch.html#a15f1a34587bbc0a93cf97dfc2cc6c205">ebpps_sketch</a>(uint32_t k, uint64_t n, <span class="keywordtype">double</span> cumulative_wt, <span class="keywordtype">double</span> wt_max, <span class="keywordtype">double</span> rho,</div>
-<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  ebpps_sample<T,A>&& sample, <span class="keyword">const</span> A& allocator = A());</div>
-<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  </div>
-<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keyword">template</span><<span class="keyword">typename</span> FwdItem></div>
-<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> internal_update(FwdItem&& item, <span class="keywordtype">double</span> weight);</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">// validation</span></div>
-<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keyword">static</span> uint32_t check_k(uint32_t k);</div>
-<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> check_preamble_longs(uint8_t preamble_longs, uint8_t flags);</div>
-<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> check_family_and_serialization_version(uint8_t family_id, uint8_t ser_ver);</div>
-<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keyword">static</span> uint32_t validate_and_get_target_size(uint32_t preamble_longs, uint32_t k, uint64_t n);</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>  </div>
-<div class="line"><a name="l00277"></a><span class="lineno"> 277</span> } <span class="comment">// namespace datasketches</span></div>
+<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  ebpps_sample<T,A> tmp_; <span class="comment">// Temporary sample of size 1 used in updates</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>  <span class="comment">// handles merge after ensuring other.cumulative_wt_ <= this->cumulative_wt_</span></div>
+<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="comment">// so we can send items in individually</span></div>
+<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keyword">template</span><<span class="keyword">typename</span> O></div>
+<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keywordtype">void</span> internal_merge(O&& other);</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>  <a class="code" href="classdatasketches_1_1ebpps__sketch.html#a15f1a34587bbc0a93cf97dfc2cc6c205">ebpps_sketch</a>(uint32_t k, uint64_t n, <span class="keywordtype">double</span> cumulative_wt, <span class="keywordtype">double</span> wt_max, <span class="keywordtype">double</span> rho,</div>
+<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  ebpps_sample<T,A>&& sample, <span class="keyword">const</span> A& allocator = A());</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>  <span class="keyword">template</span><<span class="keyword">typename</span> FwdItem></div>
+<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keyword">inline</span> <span class="keywordtype">void</span> internal_update(FwdItem&& item, <span class="keywordtype">double</span> weight);</div>
+<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  </div>
+<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="comment">// validation</span></div>
+<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keyword">static</span> uint32_t check_k(uint32_t k);</div>
+<div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> check_preamble_longs(uint8_t preamble_longs, uint8_t flags);</div>
+<div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keyword">static</span> <span class="keywordtype">void</span> check_family_and_serialization_version(uint8_t family_id, uint8_t ser_ver);</div>
+<div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  <span class="keyword">static</span> uint32_t validate_and_get_target_size(uint32_t preamble_longs, uint32_t k, uint64_t n);</div>
+<div class="line"><a name="l00277"></a><span class="lineno"> 277</span> };</div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  </div>
-<div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="preprocessor">#include "ebpps_sketch_impl.hpp"</span></div>
+<div class="line"><a name="l00279"></a><span class="lineno"> 279</span> } <span class="comment">// namespace datasketches</span></div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  </div>
-<div class="line"><a name="l00281"></a><span class="lineno"> 281</span> <span class="preprocessor">#endif </span><span class="comment">// _EBPPS_SKETCH_HPP_</span></div>
+<div class="line"><a name="l00281"></a><span class="lineno"> 281</span> <span class="preprocessor">#include "ebpps_sketch_impl.hpp"</span></div>
+<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  </div>
+<div class="line"><a name="l00283"></a><span class="lineno"> 283</span> <span class="preprocessor">#endif </span><span class="comment">// _EBPPS_SKETCH_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_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:112</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:127</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_ [...]
-<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_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:524</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:82</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:519</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_ [...]
+<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:77</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:122</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:199</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_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:87</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:72</div></div>
<div class="ttc" id="aclassdatasketches_1_1ebpps__sketch_html_ada2a7bf12915615ea1d15ccfdcc525d2"><div class="ttname"><a href="classdatasketches_1_1ebpps__sketch.html#ada2a7bf12915615ea1d15ccfdcc525d2">datasketches::ebpps_sketch::deserialize</a></div><div class="ttdeci">static ebpps_sketch deserialize(std::istream &is, const SerDe &sd=SerDe(), const A &allocator=A())</div><div class="ttdoc">This method deserializes a sketch from a given stream.</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="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:96</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:163</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:62</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:67</div></div>
<div class="ttc" id="anamespacedatasketches_1_1ebpps__constants_html_aef0073265694689f2a7281205c133523"><div class="ttname"><a href="namespacedatasketches_1_1ebpps__constants.html#aef0073265694689f2a7281205c133523">datasketches::ebpps_constants::MAX_K</a></div><div class="ttdeci">const uint32_t MAX_K</div><div class="ttdoc">maximum value of parameter K</div><div class="ttdef"><b>Definition:</b> ebpps_sketch.hpp:37</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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diff --git a/docs/master/ebpps__sketch__impl_8hpp_source.html b/docs/master/ebpps__sketch__impl_8hpp_source.html
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--- a/docs/master/ebpps__sketch__impl_8hpp_source.html
+++ b/docs/master/ebpps__sketch__impl_8hpp_source.html
@@ -111,209 +111,209 @@ $(function() {
<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="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>  tmp_(1, allocator)</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>  </div>
+<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00048"></a><span class="lineno"> 48</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="l00049"></a><span class="lineno"> 49</span>  <span class="keywordtype">double</span> wt_max, <span class="keywordtype">double</span> rho,</div>
+<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  ebpps_sample<T,A>&& sample, <span class="keyword">const</span> A& allocator) :</div>
+<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  allocator_(allocator),</div>
+<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  k_(k),</div>
+<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  n_(n),</div>
+<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  cumulative_wt_(cumulative_wt),</div>
+<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  wt_max_(wt_max),</div>
+<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  rho_(rho),</div>
+<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  sample_(sample),</div>
+<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  tmp_(1, allocator)</div>
+<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  {}</div>
+<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  </div>
+<div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00062"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#af561f5cd76ff61773713c627bc53b0a2"> 62</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="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">return</span> k_;</div>
+<div class="line"><a name="l00064"></a><span class="lineno"> 64</span> }</div>
+<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  </div>
+<div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00067"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#af857be9469a7565252626f27e1f9d74d"> 67</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="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">return</span> n_;</div>
+<div class="line"><a name="l00069"></a><span class="lineno"> 69</span> }</div>
+<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  </div>
+<div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00072"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#ad9a95d52fa46cfa85b026802397b2154"> 72</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="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">return</span> sample_.get_c();</div>
+<div class="line"><a name="l00074"></a><span class="lineno"> 74</span> }</div>
+<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  </div>
+<div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00077"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#a8c7e54338adc46e68f7c53676bcecde8"> 77</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="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">return</span> cumulative_wt_;</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">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00082"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#a5a2b7a58dc85678d08752945ff655362"> 82</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="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">return</span> n_ == 0;</div>
+<div class="line"><a name="l00084"></a><span class="lineno"> 84</span> }</div>
+<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  </div>
+<div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#ad20897c5c8bd47f5d4005989bead0e55"> 87</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="l00088"></a><span class="lineno"> 88</span>  n_ = 0;</div>
+<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  cumulative_wt_ = 0.0;</div>
+<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  wt_max_ = 0.0;</div>
+<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  rho_ = 1.0;</div>
+<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  sample_.reset();</div>
+<div class="line"><a name="l00093"></a><span class="lineno"> 93</span> }</div>
+<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  </div>
+<div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#aed372241c10ffd041bee85602edb199a"> 96</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="l00097"></a><span class="lineno"> 97</span>  <span class="comment">// Using a temporary stream for implementation here does not comply with AllocatorAwareContainer requirements.</span></div>
+<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">// The stream does not support passing an allocator instance, and alternatives are complicated.</span></div>
+<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  std::ostringstream os;</div>
+<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  os << <span class="stringliteral">"### EBPPS Sketch SUMMARY:"</span> << std::endl;</div>
+<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  os << <span class="stringliteral">" k : "</span> << k_ << std::endl;</div>
+<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  os << <span class="stringliteral">" n : "</span> << n_ << std::endl;</div>
+<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  os << <span class="stringliteral">" cum. weight : "</span> << cumulative_wt_ << std::endl;</div>
+<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  os << <span class="stringliteral">" wt_mac : "</span> << wt_max_ << std::endl;</div>
+<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  os << <span class="stringliteral">" rho : "</span> << rho_ << std::endl;</div>
+<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  os << <span class="stringliteral">" C : "</span> << sample_.get_c() << std::endl;</div>
+<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  os << <span class="stringliteral">"### END SKETCH SUMMARY"</span> << std::endl;</div>
+<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">return</span> string<A>(os.str().c_str(), allocator_);</div>
+<div class="line"><a name="l00109"></a><span class="lineno"> 109</span> }</div>
+<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  </div>
+<div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00112"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#a0fa52dd153f1e3cac57d4742e2fef6fc"> 112</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="l00113"></a><span class="lineno"> 113</span>  <span class="comment">// Using a temporary stream for implementation here does not comply with AllocatorAwareContainer requirements.</span></div>
+<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="comment">// The stream does not support passing an allocator instance, and alternatives are complicated.</span></div>
+<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  std::ostringstream os;</div>
+<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  os << <span class="stringliteral">"### Sketch Items"</span> << std::endl;</div>
+<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  os << sample_.to_string(); <span class="comment">// assumes std::endl at end</span></div>
+<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">return</span> string<A>(os.str().c_str(), allocator_);</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> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00122"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#a9d85cf47c4ecd0580ec623c42006dd1b"> 122</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="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">return</span> allocator_;</div>
+<div class="line"><a name="l00124"></a><span class="lineno"> 124</span> }</div>
+<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  </div>
+<div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00127"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#a1125ed18baf3f257b5796321c7ec0f8f"> 127</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="l00128"></a><span class="lineno"> 128</span>  <span class="keywordflow">return</span> internal_update(item, weight);</div>
+<div class="line"><a name="l00129"></a><span class="lineno"> 129</span> }</div>
+<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  </div>
+<div class="line"><a name="l00131"></a><span class="lineno"> 131</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00132"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#a9c07446b1fd8f8509f754ebaf3f77050"> 132</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="l00133"></a><span class="lineno"> 133</span>  <span class="keywordflow">return</span> internal_update(std::move(item), weight);</div>
+<div class="line"><a name="l00134"></a><span class="lineno"> 134</span> }</div>
+<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  </div>
+<div class="line"><a name="l00136"></a><span class="lineno"> 136</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00137"></a><span class="lineno"> 137</span> <span class="keyword">template</span><<span class="keyword">typename</span> FwdItem></div>
+<div class="line"><a name="l00138"></a><span class="lineno"> 138</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="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">if</span> (weight < 0.0 || std::isnan(weight) || std::isinf(weight)) {</div>
+<div class="line"><a name="l00140"></a><span class="lineno"> 140</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="l00141"></a><span class="lineno"> 141</span>  + std::to_string(weight));</div>
+<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  } <span class="keywordflow">else</span> <span class="keywordflow">if</span> (weight == 0.0) {</div>
+<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordflow">return</span>;</div>
+<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  }</div>
+<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  </div>
+<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> new_cum_wt = cumulative_wt_ + weight;</div>
+<div class="line"><a name="l00147"></a><span class="lineno"> 147</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="l00148"></a><span class="lineno"> 148</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="l00149"></a><span class="lineno"> 149</span>  </div>
+<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keywordflow">if</span> (cumulative_wt_ > 0.0)</div>
+<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  sample_.downsample(new_rho / rho_);</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>  tmp_.replace_content(conditional_forward<FwdItem>(item), new_rho * weight);</div>
+<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  sample_.merge(tmp_);</div>
+<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  </div>
+<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  cumulative_wt_ = new_cum_wt;</div>
+<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  wt_max_ = new_wt_max;</div>
+<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  rho_ = new_rho;</div>
+<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  ++n_;</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>  </div>
+<div class="line"><a name="l00162"></a><span class="lineno"> 162</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00163"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#af55091df8eaaa2a9dc834f1e1d5340e7"> 163</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="l00164"></a><span class="lineno"> 164</span>  <span class="keywordflow">return</span> sample_.get_sample();</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>  </div>
+<div class="line"><a name="l00167"></a><span class="lineno"> 167</span> <span class="comment">/* Merging</span></div>
+<div class="line"><a name="l00168"></a><span class="lineno"> 168</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="l00169"></a><span class="lineno"> 169</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="l00170"></a><span class="lineno"> 170</span> <span class="comment"> * respectively. That merge does preserve first-order probabilities, specifically</span></div>
+<div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="comment"> * the probability proportional to size property, and like all other known merge</span></div>
+<div class="line"><a name="l00172"></a><span class="lineno"> 172</span> <span class="comment"> * algorithms distorts second-order probabilities (co-occurrences). There are</span></div>
+<div class="line"><a name="l00173"></a><span class="lineno"> 173</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="l00174"></a><span class="lineno"> 174</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="l00175"></a><span class="lineno"> 175</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="l00176"></a><span class="lineno"> 176</span> <span class="comment"> * </span></div>
+<div class="line"><a name="l00177"></a><span class="lineno"> 177</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="l00178"></a><span class="lineno"> 178</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="l00179"></a><span class="lineno"> 179</span> <span class="comment"> * can take inspiration from the reservoir sampling merge in the datasketches-java</span></div>
+<div class="line"><a name="l00180"></a><span class="lineno"> 180</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="l00181"></a><span class="lineno"> 181</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="l00182"></a><span class="lineno"> 182</span> <span class="comment"> * in the smaller sketch as long as we adjust the weight appropriately.</span></div>
+<div class="line"><a name="l00183"></a><span class="lineno"> 183</span> <span class="comment"> * Merging smaller into larger is essential to ensure that no item has a</span></div>
+<div class="line"><a name="l00184"></a><span class="lineno"> 184</span> <span class="comment"> * contribution to C > 1.0.</span></div>
+<div class="line"><a name="l00185"></a><span class="lineno"> 185</span> <span class="comment"> */</span></div>
+<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  </div>
+<div class="line"><a name="l00187"></a><span class="lineno"> 187</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00188"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#ae71318de5a2cfb29c0737bc96a56d2a6"> 188</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="l00189"></a><span class="lineno"> 189</span>  <span class="keywordflow">if</span> (sk.get_cumulative_weight() == 0.0) <span class="keywordflow">return</span>;</div>
+<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (sk.get_cumulative_weight() > get_cumulative_weight()) {</div>
+<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <span class="comment">// need to swap this with sk to merge smaller into larger</span></div>
+<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  std::swap(*<span class="keyword">this</span>, sk);</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>  </div>
+<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  internal_merge(sk);</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>  </div>
+<div class="line"><a name="l00198"></a><span class="lineno"> 198</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00199"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#aa3e3042bdaf5a90eb65767f1a392125a"> 199</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="l00200"></a><span class="lineno"> 200</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="l00201"></a><span class="lineno"> 201</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="l00202"></a><span class="lineno"> 202</span>  <span class="comment">// need to swap this with sk to merge, so make a copy, swap,</span></div>
+<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="comment">// and use that to merge</span></div>
+<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <a class="code" href="classdatasketches_1_1ebpps__sketch.html">ebpps_sketch</a> sk_copy(sk);</div>
+<div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  swap(*<span class="keyword">this</span>, sk_copy);</div>
+<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  internal_merge(sk_copy);</div>
+<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  } <span class="keywordflow">else</span> {</div>
+<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  internal_merge(sk);</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>  </div>
+<div class="line"><a name="l00212"></a><span class="lineno"> 212</span> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00213"></a><span class="lineno"> 213</span> <span class="keyword">template</span><<span class="keyword">typename</span> O></div>
+<div class="line"><a name="l00214"></a><span class="lineno"> 214</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="l00215"></a><span class="lineno"> 215</span>  <span class="comment">// assumes that sk.cumulative_wt_ <= cumulative_wt_,</span></div>
+<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="comment">// which must be checked before calling this</span></div>
+<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  </div>
+<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keyword">const</span> ebpps_sample<T,A>& other_sample = sk.sample_;</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">const</span> <span class="keywordtype">double</span> final_cum_wt = cumulative_wt_ + sk.cumulative_wt_;</div>
+<div class="line"><a name="l00221"></a><span class="lineno"> 221</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="l00222"></a><span class="lineno"> 222</span>  k_ = std::min(k_, sk.k_);</div>
+<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="keyword">const</span> uint64_t new_n = n_ + sk.n_;</div>
+<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  </div>
+<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="comment">// Insert sk's items with the cumulative weight</span></div>
+<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <span class="comment">// split between the input items. We repeat the same process</span></div>
+<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="comment">// for full items and the partial item, scaling the input</span></div>
+<div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="comment">// weight appropriately.</span></div>
+<div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="comment">// We handle all C input items, meaning we always process</span></div>
+<div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="comment">// the partial item using a scaled down weight.</span></div>
+<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="comment">// Handling the partial item by probabilistically including</span></div>
+<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="comment">// it as a full item would be correct on average but would</span></div>
+<div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="comment">// introduce bias for any specific merge operation.</span></div>
+<div class="line"><a name="l00234"></a><span class="lineno"> 234</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="l00235"></a><span class="lineno"> 235</span>  <span class="keyword">auto</span> items = other_sample.get_full_items();</div>
+<div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < items.size(); ++i) {</div>
+<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="comment">// new_wt_max is pre-computed</span></div>
+<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> new_cum_wt = cumulative_wt_ + avg_wt;</div>
+<div class="line"><a name="l00239"></a><span class="lineno"> 239</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="l00240"></a><span class="lineno"> 240</span>  </div>
+<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keywordflow">if</span> (cumulative_wt_ > 0.0)</div>
+<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  sample_.downsample(new_rho / rho_);</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>  tmp_.replace_content(conditional_forward<O>(items[i]), new_rho * avg_wt);</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>
@@ -330,295 +330,294 @@ $(function() {
<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 cl [...]
-<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="line"><a name="l00262"></a><span class="lineno"> 262</span>  tmp_.replace_content(conditional_forward<O>(other_sample.get_partial_item()), new_rho * other_c_frac * avg_wt);</div>
+<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  sample_.merge(tmp_);</div>
+<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  </div>
+<div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  cumulative_wt_ = new_cum_wt;</div>
+<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  rho_ = new_rho;</div>
+<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  }</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>  <span class="comment">// avoid numeric issues by setting cumulative weight to the</span></div>
+<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="comment">// pre-computed value</span></div>
+<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  cumulative_wt_ = final_cum_wt;</div>
+<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  n_ = new_n;</div>
+<div class="line"><a name="l00273"></a><span class="lineno"> 273</span> }</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> <span class="comment">/*</span></div>
+<div class="line"><a name="l00276"></a><span class="lineno"> 276</span> <span class="comment"> * An empty sketch requires 8 bytes.</span></div>
+<div class="line"><a name="l00277"></a><span class="lineno"> 277</span> <span class="comment"> *</span></div>
+<div class="line"><a name="l00278"></a><span class="lineno"> 278</span> <span class="comment"> * <pre></span></div>
+<div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="comment"> * Long || Start Byte Adr:</span></div>
+<div class="line"><a name="l00280"></a><span class="lineno"> 280</span> <span class="comment"> * Adr:</span></div>
+<div class="line"><a name="l00281"></a><span class="lineno"> 281</span> <span class="comment"> * || 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 |</span></div>
+<div class="line"><a name="l00282"></a><span class="lineno"> 282</span> <span class="comment"> * 0 || Preamble_Longs | SerVer | FamID | Flags |---------Max Res. Size (K)---------|</span></div>
+<div class="line"><a name="l00283"></a><span class="lineno"> 283</span> <span class="comment"> * </pre></span></div>
+<div class="line"><a name="l00284"></a><span class="lineno"> 284</span> <span class="comment"> *</span></div>
+<div class="line"><a name="l00285"></a><span class="lineno"> 285</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="l00286"></a><span class="lineno"> 286</span> <span class="comment"> * the preamble but is serialized as part of the internal sample state.</span></div>
+<div class="line"><a name="l00287"></a><span class="lineno"> 287</span> <span class="comment"> *</span></div>
+<div class="line"><a name="l00288"></a><span class="lineno"> 288</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="l00289"></a><span class="lineno"> 289</span> <span class="comment"> * count to track.</span></div>
+<div class="line"><a name="l00290"></a><span class="lineno"> 290</span> <span class="comment"> * </span></div>
+<div class="line"><a name="l00291"></a><span class="lineno"> 291</span> <span class="comment"> * <pre></span></div>
+<div class="line"><a name="l00292"></a><span class="lineno"> 292</span> <span class="comment"> * Long || Start Byte Adr:</span></div>
+<div class="line"><a name="l00293"></a><span class="lineno"> 293</span> <span class="comment"> * Adr:</span></div>
+<div class="line"><a name="l00294"></a><span class="lineno"> 294</span> <span class="comment"> * || 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 |</span></div>
+<div class="line"><a name="l00295"></a><span class="lineno"> 295</span> <span class="comment"> * 0 || Preamble_Longs | SerVer | FamID | Flags |---------Max Res. Size (K)---------|</span></div>
+<div class="line"><a name="l00296"></a><span class="lineno"> 296</span> <span class="comment"> *</span></div>
+<div class="line"><a name="l00297"></a><span class="lineno"> 297</span> <span class="comment"> * || 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 |</span></div>
+<div class="line"><a name="l00298"></a><span class="lineno"> 298</span> <span class="comment"> * 1 ||---------------------------Items Seen Count (N)--------------------------------|</span></div>
+<div class="line"><a name="l00299"></a><span class="lineno"> 299</span> <span class="comment"> *</span></div>
+<div class="line"><a name="l00300"></a><span class="lineno"> 300</span> <span class="comment"> * || 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 |</span></div>
+<div class="line"><a name="l00301"></a><span class="lineno"> 301</span> <span class="comment"> * 2 ||----------------------------Cumulative Weight----------------------------------|</span></div>
+<div class="line"><a name="l00302"></a><span class="lineno"> 302</span> <span class="comment"> *</span></div>
+<div class="line"><a name="l00303"></a><span class="lineno"> 303</span> <span class="comment"> * || 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 |</span></div>
+<div class="line"><a name="l00304"></a><span class="lineno"> 304</span> <span class="comment"> * 3 ||-----------------------------Max Item Weight-----------------------------------|</span></div>
+<div class="line"><a name="l00305"></a><span class="lineno"> 305</span> <span class="comment"> *</span></div>
+<div class="line"><a name="l00306"></a><span class="lineno"> 306</span> <span class="comment"> * || 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 |</span></div>
+<div class="line"><a name="l00307"></a><span class="lineno"> 307</span> <span class="comment"> * 4 ||----------------------------------Rho------------------------------------------|</span></div>
+<div class="line"><a name="l00308"></a><span class="lineno"> 308</span> <span class="comment"> *</span></div>
+<div class="line"><a name="l00309"></a><span class="lineno"> 309</span> <span class="comment"> * || 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 |</span></div>
+<div class="line"><a name="l00310"></a><span class="lineno"> 310</span> <span class="comment"> * 5 ||-----------------------------------C-------------------------------------------|</span></div>
+<div class="line"><a name="l00311"></a><span class="lineno"> 311</span> <span class="comment"> *</span></div>
+<div class="line"><a name="l00312"></a><span class="lineno"> 312</span> <span class="comment"> * || 40+ |</span></div>
+<div class="line"><a name="l00313"></a><span class="lineno"> 313</span> <span class="comment"> * 6+ || {Items Array} |</span></div>
+<div class="line"><a name="l00314"></a><span class="lineno"> 314</span> <span class="comment"> * || {Optional Item (if needed)} |</span></div>
+<div class="line"><a name="l00315"></a><span class="lineno"> 315</span> <span class="comment"> * </pre></span></div>
+<div class="line"><a name="l00316"></a><span class="lineno"> 316</span> <span class="comment"> */</span></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> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00319"></a><span class="lineno"> 319</span> <span class="keyword">template</span><<span class="keyword">typename</span> SerDe></div>
+<div class="line"><a name="l00320"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#a8762fed25b3024f07989976344dd0afb"> 320</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="l00321"></a><span class="lineno"> 321</span>  <span class="keywordflow">if</span> (is_empty()) { <span class="keywordflow">return</span> PREAMBLE_LONGS_EMPTY << 3; }</div>
+<div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <span class="keywordflow">return</span> (PREAMBLE_LONGS_FULL << 3) + sample_.get_serialized_size_bytes(sd);</div>
+<div class="line"><a name="l00323"></a><span class="lineno"> 323</span> }</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> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00326"></a><span class="lineno"> 326</span> <span class="keyword">template</span><<span class="keyword">typename</span> SerDe></div>
+<div class="line"><a name="l00327"></a><span class="lineno"> 327</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="l00328"></a><span class="lineno"> 328</span>  <span class="keyword">const</span> uint8_t prelongs = (is_empty() ? PREAMBLE_LONGS_EMPTY : PREAMBLE_LONGS_FULL);</div>
+<div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  </div>
+<div class="line"><a name="l00330"></a><span class="lineno"> 330</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="l00331"></a><span class="lineno"> 331</span>  vector_bytes bytes(size, 0, allocator_);</div>
+<div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  uint8_t* ptr = bytes.data() + header_size_bytes;</div>
+<div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <span class="keyword">const</span> uint8_t* end_ptr = ptr + size;</div>
+<div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  </div>
+<div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  uint8_t flags = 0;</div>
+<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <span class="keywordflow">if</span> (is_empty()) {</div>
+<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  flags |= EMPTY_FLAG_MASK;</div>
+<div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  } <span class="keywordflow">else</span> {</div>
+<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  flags |= sample_.has_partial_item() ? HAS_PARTIAL_ITEM_MASK : 0;</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="l00342"></a><span class="lineno"> 342</span>  <span class="comment">// first prelong</span></div>
+<div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keyword">const</span> uint8_t ser_ver = SER_VER;</div>
+<div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  <span class="keyword">const</span> uint8_t family = FAMILY_ID;</div>
+<div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  ptr += copy_to_mem(prelongs, ptr);</div>
+<div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  ptr += copy_to_mem(ser_ver, ptr);</div>
+<div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  ptr += copy_to_mem(family, ptr);</div>
+<div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  ptr += copy_to_mem(flags, ptr);</div>
+<div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  ptr += copy_to_mem(k_, ptr);</div>
+<div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  </div>
+<div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <span class="keywordflow">if</span> (!is_empty()) {</div>
+<div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="comment">// remaining preamble</span></div>
+<div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  ptr += copy_to_mem(n_, ptr);</div>
+<div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  ptr += copy_to_mem(cumulative_wt_, ptr);</div>
+<div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  ptr += copy_to_mem(wt_max_, ptr);</div>
+<div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  ptr += copy_to_mem(rho_, ptr);</div>
+<div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  ptr += sample_.serialize(ptr, end_ptr, sd);</div>
+<div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  }</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>  <span class="keywordflow">return</span> bytes;</div>
+<div class="line"><a name="l00361"></a><span class="lineno"> 361</span> }</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> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00364"></a><span class="lineno"> 364</span> <span class="keyword">template</span><<span class="keyword">typename</span> SerDe></div>
+<div class="line"><a name="l00365"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#a538940c100e4353b3671ad452d3d3056"> 365</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="l00366"></a><span class="lineno"> 366</span>  <span class="keyword">const</span> uint8_t prelongs = (is_empty() ? PREAMBLE_LONGS_EMPTY : PREAMBLE_LONGS_FULL);</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>  uint8_t flags = 0;</div>
+<div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="keywordflow">if</span> (is_empty()) {</div>
+<div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  flags |= EMPTY_FLAG_MASK;</div>
+<div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  } <span class="keywordflow">else</span> {</div>
+<div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  flags |= sample_.has_partial_item() ? HAS_PARTIAL_ITEM_MASK : 0;</div>
+<div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  }</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>  <span class="comment">// first prelong</span></div>
+<div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <span class="keyword">const</span> uint8_t ser_ver = SER_VER;</div>
+<div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  <span class="keyword">const</span> uint8_t family = FAMILY_ID;</div>
+<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  write(os, prelongs);</div>
+<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  write(os, ser_ver);</div>
+<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  write(os, family);</div>
+<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  write(os, flags);</div>
+<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  write(os, k_);</div>
+<div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  </div>
+<div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  <span class="keywordflow">if</span> (!is_empty()) {</div>
+<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <span class="comment">// remaining preamble</span></div>
+<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  write(os, n_);</div>
+<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  write(os, cumulative_wt_);</div>
+<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  write(os, wt_max_);</div>
+<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  write(os, rho_);</div>
+<div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  sample_.serialize(os, sd);</div>
+<div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  }</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>  <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="l00394"></a><span class="lineno"> 394</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> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00397"></a><span class="lineno"> 397</span> <span class="keyword">template</span><<span class="keyword">typename</span> SerDe></div>
+<div class="line"><a name="l00398"></a><span class="lineno"> 398</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 cl [...]
+<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  ensure_minimum_memory(size, 8);</div>
+<div class="line"><a name="l00400"></a><span class="lineno"> 400</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="l00401"></a><span class="lineno"> 401</span>  <span class="keyword">const</span> uint8_t* end_ptr = ptr + size;</div>
+<div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  uint8_t prelongs;</div>
+<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  ptr += copy_from_mem(ptr, prelongs);</div>
+<div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  uint8_t serial_version;</div>
+<div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  ptr += copy_from_mem(ptr, serial_version);</div>
+<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  uint8_t family_id;</div>
+<div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  ptr += copy_from_mem(ptr, family_id);</div>
+<div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  uint8_t flags;</div>
+<div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  ptr += copy_from_mem(ptr, flags);</div>
+<div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  uint32_t k;</div>
+<div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  ptr += copy_from_mem(ptr, k);</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>  check_k(k);</div>
+<div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  check_preamble_longs(prelongs, flags);</div>
+<div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  check_family_and_serialization_version(family_id, serial_version);</div>
+<div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  ensure_minimum_memory(size, prelongs << 3);</div>
+<div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  </div>
+<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> empty = flags & EMPTY_FLAG_MASK;</div>
+<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <span class="keywordflow">if</span> (empty)</div>
+<div class="line"><a name="l00420"></a><span class="lineno"> 420</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="l00421"></a><span class="lineno"> 421</span>  </div>
+<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  uint64_t n;</div>
+<div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  ptr += copy_from_mem(ptr, n);</div>
+<div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <span class="keywordtype">double</span> cumulative_wt;</div>
+<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  ptr += copy_from_mem(ptr, cumulative_wt);</div>
+<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <span class="keywordtype">double</span> wt_max;</div>
+<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  ptr += copy_from_mem(ptr, wt_max);</div>
+<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="keywordtype">double</span> rho;</div>
+<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  ptr += copy_from_mem(ptr, rho);</div>
+<div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  </div>
+<div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  <span class="keyword">auto</span> pair = ebpps_sample<T, A>::deserialize(ptr, end_ptr - ptr, sd, allocator);</div>
+<div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  ebpps_sample<T, A> sample = pair.first;</div>
+<div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  ptr += pair.second;</div>
+<div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  </div>
+<div class="line"><a name="l00435"></a><span class="lineno"> 435</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="l00436"></a><span class="lineno"> 436</span>  <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"sketch fails internal consistency check"</span>);</div>
+<div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  </div>
+<div class="line"><a name="l00438"></a><span class="lineno"> 438</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="l00439"></a><span class="lineno"> 439</span> }</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> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00442"></a><span class="lineno"> 442</span> <span class="keyword">template</span><<span class="keyword">typename</span> SerDe></div>
+<div class="line"><a name="l00443"></a><span class="lineno"> 443</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="l00444"></a><span class="lineno"> 444</span>  <span class="keyword">const</span> uint8_t prelongs = read<uint8_t>(is);</div>
+<div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  <span class="keyword">const</span> uint8_t ser_ver = read<uint8_t>(is);</div>
+<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keyword">const</span> uint8_t family = read<uint8_t>(is);</div>
+<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="keyword">const</span> uint8_t flags = read<uint8_t>(is);</div>
+<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <span class="keyword">const</span> uint32_t k = read<uint32_t>(is);</div>
+<div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  </div>
+<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  check_k(k);</div>
+<div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  check_family_and_serialization_version(family, ser_ver);</div>
+<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  check_preamble_longs(prelongs, flags);</div>
+<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  </div>
+<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> empty = (flags & EMPTY_FLAG_MASK);</div>
+<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  </div>
+<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <span class="keywordflow">if</span> (empty)</div>
+<div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  <span class="keywordflow">return</span> ebpps_sketch(k, allocator);</div>
+<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  </div>
+<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  <span class="keyword">const</span> uint64_t n = read<uint64_t>(is);</div>
+<div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> cumulative_wt = read<double>(is);</div>
+<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <span class="keyword">const</span> <span class="keywordtype">double</span> wt_max = 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> rho = read<double>(is);</div>
+<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  </div>
+<div class="line"><a name="l00464"></a><span class="lineno"> 464</span>  <span class="keyword">auto</span> sample = ebpps_sample<T,A>::deserialize(is, sd, allocator);</div>
+<div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  </div>
+<div class="line"><a name="l00466"></a><span class="lineno"> 466</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="l00467"></a><span class="lineno"> 467</span>  <span class="keywordflow">throw</span> std::runtime_error(<span class="stringliteral">"sketch fails internal consistency check"</span>);</div>
+<div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  </div>
+<div class="line"><a name="l00469"></a><span class="lineno"> 469</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="l00470"></a><span class="lineno"> 470</span> }</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> <span class="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00473"></a><span class="lineno"> 473</span> <span class="keyword">inline</span> uint32_t ebpps_sketch<T, A>::check_k(uint32_t k)</div>
+<div class="line"><a name="l00474"></a><span class="lineno"> 474</span> {</div>
+<div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="keywordflow">if</span> (k == 0 || k > MAX_K)</div>
+<div class="line"><a name="l00476"></a><span class="lineno"> 476</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="l00477"></a><span class="lineno"> 477</span>  <span class="keywordflow">return</span> k;</div>
+<div class="line"><a name="l00478"></a><span class="lineno"> 478</span> }</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> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00481"></a><span class="lineno"> 481</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="l00482"></a><span class="lineno"> 482</span>  <span class="keywordflow">if</span> (family_id == FAMILY_ID) {</div>
+<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="keywordflow">if</span> (ser_ver != SER_VER) {</div>
+<div class="line"><a name="l00484"></a><span class="lineno"> 484</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="l00485"></a><span class="lineno"> 485</span>  + std::to_string(SER_VER) + <span class="stringliteral">". Found: "</span> + std::to_string(ser_ver));</div>
+<div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  }</div>
+<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <span class="keywordflow">return</span>;</div>
+<div class="line"><a name="l00488"></a><span class="lineno"> 488</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>  <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="l00491"></a><span class="lineno"> 491</span>  + std::to_string(FAMILY_ID) + <span class="stringliteral">". Found: "</span> + std::to_string(family_id));</div>
+<div class="line"><a name="l00492"></a><span class="lineno"> 492</span> }</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> <span class="keyword">template</span> <<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00495"></a><span class="lineno"> 495</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="l00496"></a><span class="lineno"> 496</span> {</div>
+<div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> is_empty(flags & EMPTY_FLAG_MASK);</div>
+<div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  </div>
+<div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  <span class="keywordflow">if</span> (is_empty) {</div>
+<div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <span class="keywordflow">if</span> (preamble_longs != PREAMBLE_LONGS_EMPTY) {</div>
+<div class="line"><a name="l00501"></a><span class="lineno"> 501</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="l00502"></a><span class="lineno"> 502</span>  + std::to_string(PREAMBLE_LONGS_EMPTY) + <span class="stringliteral">" for an empty sketch. Found: "</span></div>
+<div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  + std::to_string(preamble_longs));</div>
+<div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  }</div>
+<div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <span class="keywordflow">if</span> (flags & HAS_PARTIAL_ITEM_MASK) {</div>
+<div class="line"><a name="l00506"></a><span class="lineno"> 506</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="l00507"></a><span class="lineno"> 507</span>  <span class="stringliteral">"contain indications of the presence of any item"</span>);</div>
+<div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  }</div>
+<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  } <span class="keywordflow">else</span> {</div>
+<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  <span class="keywordflow">if</span> (preamble_longs != PREAMBLE_LONGS_FULL) {</div>
+<div class="line"><a name="l00511"></a><span class="lineno"> 511</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="l00512"></a><span class="lineno"> 512</span>  + std::to_string(PREAMBLE_LONGS_FULL)</div>
+<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  + <span class="stringliteral">" for a non-empty sketch. Found: "</span> + std::to_string(preamble_longs));</div>
+<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  }</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> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00519"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#a7f1f04c52ad57d836463132e260dee2f"> 519</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="l00520"></a><span class="lineno"> 520</span>  <span class="keywordflow">return</span> sample_.begin();</div>
+<div class="line"><a name="l00521"></a><span class="lineno"> 521</span> }</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> <span class="keyword">template</span><<span class="keyword">typename</span> T, <span class="keyword">typename</span> A></div>
+<div class="line"><a name="l00524"></a><span class="lineno"><a class="line" href="classdatasketches_1_1ebpps__sketch.html#a42825c759c3dec7ece362973012123a2"> 524</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="l00525"></a><span class="lineno"> 525</span>  <span class="keywordflow">return</span> sample_.end();</div>
+<div class="line"><a name="l00526"></a><span class="lineno"> 526</span> }</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> } <span class="comment">// namespace datasketches</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="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_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:112</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:127</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_ [...]
-<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_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:524</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:82</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:519</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_ [...]
+<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:77</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:122</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:199</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="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:87</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:72</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:96</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:163</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:62</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:67</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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