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<h3>
Sudheer Chunduri pushed to branch master
at <a href="https://xgitlab.cels.anl.gov/darshan/darshan">darshan / darshan</a>
</h3>
<h4>
Commits:
</h4>
<ul>
<li>
<strong><a href="https://xgitlab.cels.anl.gov/darshan/darshan/-/commit/dcc18274a2d38c98828cb1f4b109319e748dcf69">dcc18274</a></strong>
<div>
<span>by Sudheer Chunduri</span>
<i>at 2021-03-31T23:44:37+00:00</i>
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<pre class="commit-message" style="white-space: pre-wrap; margin: 0;">apmpi/pydarshan: update the pydarshan to process APMPI records
</pre>
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<li>
<strong><a href="https://xgitlab.cels.anl.gov/darshan/darshan/-/commit/7e18ce2846ad6a4d3602c7152af26203f972236f">7e18ce28</a></strong>
<div>
<span>by Sudheer Chunduri</span>
<i>at 2021-04-01T21:16:57+00:00</i>
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<pre class="commit-message" style="white-space: pre-wrap; margin: 0;">autoperf few fixes and code cleanup
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<strong><a href="https://xgitlab.cels.anl.gov/darshan/darshan/-/commit/bdec813963ab6484d928fe361da0e5887de33a51">bdec8139</a></strong>
<div>
<span>by Sudheer Chunduri</span>
<i>at 2021-04-01T16:19:43-05:00</i>
</div>
<pre class="commit-message" style="white-space: pre-wrap; margin: 0;">Merge branch 'apmpi-pydarshan-fixes' into 'master'
Apmpi pydarshan fixes
See merge request darshan/darshan!93</pre>
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<h4>5 changed files:</h4>
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darshan-runtime/configure
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darshan-util/configure
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<a href="#c1d6fbb43edf1c79c1b971ea083d67b16a105feb">
darshan-util/pydarshan/darshan/backend/cffi_backend.py
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darshan-util/pydarshan/darshan/report.py
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darshan-util/pydarshan/examples/apmpi_analysis.py
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<h4>Changes:</h4>
<li id="fd68d1e1ce6723281126e7dd4196d7ab72adcc5d">
<a href="https://xgitlab.cels.anl.gov/darshan/darshan/-/compare/d9fd34f33d56a14b9fc47556298134911d755681...bdec813963ab6484d928fe361da0e5887de33a51#fd68d1e1ce6723281126e7dd4196d7ab72adcc5d"><strong>darshan-runtime/configure</strong>
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<li id="23911c491be8fa8cb7a78ffa8fcd89f582b778c8">
<a href="https://xgitlab.cels.anl.gov/darshan/darshan/-/compare/d9fd34f33d56a14b9fc47556298134911d755681...bdec813963ab6484d928fe361da0e5887de33a51#23911c491be8fa8cb7a78ffa8fcd89f582b778c8"><strong>darshan-util/configure</strong>
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<li id="c1d6fbb43edf1c79c1b971ea083d67b16a105feb">
<a href="https://xgitlab.cels.anl.gov/darshan/darshan/-/compare/d9fd34f33d56a14b9fc47556298134911d755681...bdec813963ab6484d928fe361da0e5887de33a51#c1d6fbb43edf1c79c1b971ea083d67b16a105feb"><strong>darshan-util/pydarshan/darshan/backend/cffi_backend.py</strong></a>
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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -421,6 +421,7 @@ def counter_names(mod_name, fcnts=False, special=''):</td>
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421
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<pre style="margin: 0;"> <span id="LC421" class="line" lang="python"> <span class="k" style="font-weight: 600;">break</span></span>
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<pre style="margin: 0;"> <span id="LC422" class="line" lang="python"> <span class="n" style="color: #333;">names</span><span class="p">.</span><span class="n" style="color: #333;">append</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="p">)</span></span>
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<pre style="margin: 0;"> <span id="LC423" class="line" lang="python"> <span class="n" style="color: #333;">i</span> <span class="o" style="font-weight: 600;">+=</span> <span class="mi" style="color: #099;">1</span></span>
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424
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<pre style="margin: 0;">+<span id="LC424" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC425" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="n" style="color: #333;">names</span></span>
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<pre style="margin: 0;"> <span id="LC426" class="line" lang="python"></span>
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427
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<pre style="margin: 0;"> <span id="LC427" class="line" lang="python"></span>
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<li id="59606561936d5b726ba86dc7aa70fc71d52ffd8a">
<a href="https://xgitlab.cels.anl.gov/darshan/darshan/-/compare/d9fd34f33d56a14b9fc47556298134911d755681...bdec813963ab6484d928fe361da0e5887de33a51#59606561936d5b726ba86dc7aa70fc71d52ffd8a"><strong>darshan-util/pydarshan/darshan/report.py</strong></a>
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<td class="diff-line-num unfold js-unfold new_line" data-linenumber="670" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #f0f0f0; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#fafafa">...</td>
<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -670,40 +670,82 @@ class DarshanReport(object):</td>
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<pre style="margin: 0;"> <span id="LC670" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># skip mod</span></span>
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<pre style="margin: 0;"> <span id="LC671" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span></span>
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<pre style="margin: 0;"> <span id="LC672" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC673" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;">#print(mod+"-HEADER")</span></span>
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<pre style="margin: 0;">-<span id="LC674" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;">#print(_structdefs[mod+"-HEADER"])</span></span>
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<pre style="margin: 0;"> <span id="LC673" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># handling options</span></span>
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<pre style="margin: 0;"> <span id="LC674" class="line" lang="python"> <span class="n" style="color: #333;">dtype</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">dtype</span> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">dtype</span> <span class="k" style="font-weight: 600;">else</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">dtype</span></span>
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<pre style="margin: 0;"> <span id="LC675" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC678" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">records</span><span class="p">[</span><span class="n" style="color: #333;">mod</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[]</span></span>
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<pre style="margin: 0;">+<span id="LC676" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">records</span><span class="p">[</span><span class="n" style="color: #333;">mod</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DarshanRecordCollection</span><span class="p">(</span><span class="n" style="color: #333;">mod</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">mod</span><span class="p">,</span> <span class="n" style="color: #333;">report</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">self</span><span class="p">)</span></span>
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<pre style="margin: 0;"> <span id="LC678" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># update module metadata</span></span>
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<pre style="margin: 0;">-<span id="LC680" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">modules</span><span class="p">[</span><span class="n" style="color: #333;">mod</span><span class="p">][</span><span class="s" style="color: #d14;">'num_records'</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="mi" style="color: #099;">0</span></span>
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<pre style="margin: 0;">+<span id="LC679" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;"><span class="idiff left right">_</span>modules</span><span class="p">[</span><span class="n" style="color: #333;">mod</span><span class="p">][</span><span class="s" style="color: #d14;">'num_records'</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="mi" style="color: #099;">0</span></span>
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<pre style="margin: 0;"> <span id="LC680" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">mod</span> <span class="ow" style="font-weight: 600;">not</span> <span class="ow" style="font-weight: 600;">in</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">counters</span><span class="p">:</span></span>
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<pre style="margin: 0;"> <span id="LC681" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">counters</span><span class="p">[</span><span class="n" style="color: #333;">mod</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">{}</span></span>
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<pre style="margin: 0;"> <span id="LC682" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC683" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># fetch records</span></span>
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<pre style="margin: 0;"> <span id="LC684" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># fetch header record</span></span>
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<pre style="margin: 0;">-<span id="LC685" class="line" lang="python"> <span class="n" style="color: #333;">header_rec</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">backend</span><span class="p">.</span><span class="n" style="color: #333;">log_get_apmpi_record</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">log</span><span class="p">,</span> <span class="n" style="color: #333;">_structdefs</span><span class="p">[</span><span class="n" style="color: #333;">mod</span><span class="o" style="font-weight: 600;">+</span><span class="s" style="color: #d14;">"-HEADER"</span><span class="p">])</span></span>
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<pre style="margin: 0;">-<span id="LC686" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">records</span><span class="p">[</span><span class="n" style="color: #333;">mod</span><span class="p">].</span><span class="n" style="color: #333;">append</span><span class="p">(</span><span class="n" style="color: #333;">header_rec</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC685" class="line" lang="python"> <span class="n" style="color: #333;">rec</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">backend</span><span class="p">.</span><span class="n" style="color: #333;">log_get_apmpi_record</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">log</span><span class="p">,</span> <span class="n" style="color: #333;">mod</span><span class="p">,</span> <span class="s" style="color: #d14;">"HEADER"</span><span class="p">,</span> <span class="n" style="color: #333;">dtype</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">dtype</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC686" class="line" lang="python"> <span class="k" style="font-weight: 600;">while</span> <span class="n" style="color: #333;">rec</span> <span class="o" style="font-weight: 600;">!=</span> <span class="bp" style="color: #999;">None</span><span class="p">:</span></span>
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<pre style="margin: 0;">+<span id="LC687" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">records</span><span class="p">[</span><span class="n" style="color: #333;">mod</span><span class="p">].</span><span class="n" style="color: #333;">append</span><span class="p">(</span><span class="n" style="color: #333;">rec</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC688" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">data</span><span class="p">[</span><span class="s" style="color: #d14;">'modules'</span><span class="p">][</span><span class="n" style="color: #333;">mod</span><span class="p">][</span><span class="s" style="color: #d14;">'num_records'</span><span class="p">]</span> <span class="o" style="font-weight: 600;">+=</span> <span class="mi" style="color: #099;">1</span></span>
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<pre style="margin: 0;">+<span id="LC690" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># fetch next</span></span>
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<pre style="margin: 0;">+<span id="LC691" class="line" lang="python"> <span class="n" style="color: #333;">rec</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">backend</span><span class="p">.</span><span class="n" style="color: #333;">log_get_apmpi_record</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">log</span><span class="p">,</span> <span class="n" style="color: #333;">mod</span><span class="p">,</span> <span class="s" style="color: #d14;">"PERF"</span><span class="p">,</span> <span class="n" style="color: #333;">dtype</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">dtype</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC694" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">lookup_name_records</span><span class="p">:</span></span>
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<pre style="margin: 0;">+<span id="LC695" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">update_name_records</span><span class="p">()</span></span>
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<pre style="margin: 0;">+<span id="LC696" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC697" class="line" lang="python"> <span class="k" style="font-weight: 600;">pass</span></span>
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<pre style="margin: 0;">+<span id="LC698" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC699" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">mod_read_all_apxc_records</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">,</span> <span class="n" style="color: #333;">mod</span><span class="p">,</span> <span class="n" style="color: #333;">dtype</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">None</span><span class="p">,</span> <span class="n" style="color: #333;">warnings</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">True</span><span class="p">):</span></span>
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700
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<pre style="margin: 0;">+<span id="LC700" class="line" lang="python"> <span class="s" style="color: #d14;">""" </span></span>
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701
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<pre style="margin: 0;">+<span id="LC701" class="line" lang="python"><span class="s" style="color: #d14;"> Reads all APXC records for provided module.</span></span>
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702
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<pre style="margin: 0;">+<span id="LC702" class="line" lang="python"></span>
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703
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<pre style="margin: 0;">+<span id="LC703" class="line" lang="python"><span class="s" style="color: #d14;"> Args:</span></span>
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704
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<pre style="margin: 0;">+<span id="LC704" class="line" lang="python"><span class="s" style="color: #d14;"> mod (str): Identifier of module to fetch all records</span></span>
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<pre style="margin: 0;">+<span id="LC705" class="line" lang="python"><span class="s" style="color: #d14;"> dtype (str): 'numpy' for ndarray (default), 'dict' for python dictionary</span></span>
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<pre style="margin: 0;">+<span id="LC706" class="line" lang="python"></span>
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707
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<pre style="margin: 0;">+<span id="LC707" class="line" lang="python"><span class="s" style="color: #d14;"> Return:</span></span>
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708
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<pre style="margin: 0;">+<span id="LC708" class="line" lang="python"><span class="s" style="color: #d14;"> None</span></span>
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<pre style="margin: 0;">+<span id="LC709" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC710" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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<pre style="margin: 0;">+<span id="LC711" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">mod</span> <span class="ow" style="font-weight: 600;">not</span> <span class="ow" style="font-weight: 600;">in</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">data</span><span class="p">[</span><span class="s" style="color: #d14;">'modules'</span><span class="p">]:</span></span>
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712
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<pre style="margin: 0;">+<span id="LC712" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">warnings</span><span class="p">:</span></span>
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713
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<pre style="margin: 0;">+<span id="LC713" class="line" lang="python"> <span class="n" style="color: #333;">logger</span><span class="p">.</span><span class="n" style="color: #333;">warning</span><span class="p">(</span><span class="s" style="color: #d14;">f"Skipping. Log does not contain data for mod: </span><span class="si" style="color: #d14;">{</span><span class="n" style="color: #333;">mod</span><span class="si" style="color: #d14;">}</span><span class="s" style="color: #d14;">"</span><span class="p">)</span></span>
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714
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<pre style="margin: 0;">+<span id="LC714" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span></span>
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<pre style="margin: 0;">+<span id="LC715" class="line" lang="python"></span>
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716
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<pre style="margin: 0;">+<span id="LC716" class="line" lang="python"> <span class="n" style="color: #333;">supported</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[</span><span class="s" style="color: #d14;">'APXC'</span><span class="p">]</span> </span>
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<pre style="margin: 0;">+<span id="LC717" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">mod</span> <span class="ow" style="font-weight: 600;">not</span> <span class="ow" style="font-weight: 600;">in</span> <span class="n" style="color: #333;">supported</span><span class="p">:</span></span>
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718
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<pre style="margin: 0;">+<span id="LC718" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">warnings</span><span class="p">:</span></span>
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719
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<pre style="margin: 0;">+<span id="LC719" class="line" lang="python"> <span class="n" style="color: #333;">logger</span><span class="p">.</span><span class="n" style="color: #333;">warning</span><span class="p">(</span><span class="s" style="color: #d14;">f" Skipping. Unsupported module: </span><span class="si" style="color: #d14;">{</span><span class="n" style="color: #333;">mod</span><span class="si" style="color: #d14;">}</span><span class="s" style="color: #d14;"> in in mod_read_all_apxc_records(). Supported: </span><span class="si" style="color: #d14;">{</span><span class="n" style="color: #333;">supported</span><span class="si" style="color: #d14;">}</span><span class="s" style="color: #d14;">"</span><span class="p">)</span></span>
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720
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<pre style="margin: 0;">+<span id="LC720" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># skip mod</span></span>
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721
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<pre style="margin: 0;">+<span id="LC721" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span></span>
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722
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<pre style="margin: 0;">+<span id="LC722" class="line" lang="python"></span>
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723
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<pre style="margin: 0;">+<span id="LC723" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># handling options</span></span>
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<pre style="margin: 0;">+<span id="LC724" class="line" lang="python"> <span class="n" style="color: #333;">dtype</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">dtype</span> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">dtype</span> <span class="k" style="font-weight: 600;">else</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">dtype</span></span>
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725
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<pre style="margin: 0;">+<span id="LC725" class="line" lang="python"></span>
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726
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<pre style="margin: 0;">+<span id="LC726" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">records</span><span class="p">[</span><span class="n" style="color: #333;">mod</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DarshanRecordCollection</span><span class="p">(</span><span class="n" style="color: #333;">mod</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">mod</span><span class="p">,</span> <span class="n" style="color: #333;">report</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">self</span><span class="p">)</span></span>
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727
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<pre style="margin: 0;">+<span id="LC727" class="line" lang="python"> <span class="n" style="color: #333;">cn</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">backend</span><span class="p">.</span><span class="n" style="color: #333;">counter_names</span><span class="p">(</span><span class="n" style="color: #333;">mod</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC728" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC729" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># update module metadata</span></span>
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730
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<pre style="margin: 0;">+<span id="LC730" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">_modules</span><span class="p">[</span><span class="n" style="color: #333;">mod</span><span class="p">][</span><span class="s" style="color: #d14;">'num_records'</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="mi" style="color: #099;">0</span></span>
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<pre style="margin: 0;">+<span id="LC731" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">mod</span> <span class="ow" style="font-weight: 600;">not</span> <span class="ow" style="font-weight: 600;">in</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">counters</span><span class="p">:</span></span>
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<pre style="margin: 0;">+<span id="LC732" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">counters</span><span class="p">[</span><span class="n" style="color: #333;">mod</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">{}</span></span>
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<pre style="margin: 0;"> <span id="LC733" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC734" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># fetch records</span></span>
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689
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<pre style="margin: 0;">-<span id="LC689" class="line" lang="python"> <span class="n" style="color: #333;">rec</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">backend</span><span class="p">.</span><span class="n" style="color: #333;">log_get_apmpi_record</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">log</span><span class="p">,</span> <span class="n" style="color: #333;">_structdefs</span><span class="p">[</span><span class="n" style="color: #333;">mod</span><span class="o" style="font-weight: 600;">+</span><span class="s" style="color: #d14;">"-PERF"</span><span class="p">])</span></span>
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<pre style="margin: 0;">+<span id="LC735" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># fetch header record</span></span>
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736
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<pre style="margin: 0;">+<span id="LC736" class="line" lang="python"> <span class="n" style="color: #333;">rec</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">backend</span><span class="p">.</span><span class="n" style="color: #333;">log_get_apxc_record</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">log</span><span class="p">,</span> <span class="n" style="color: #333;">mod</span><span class="p">,</span> <span class="s" style="color: #d14;">"HEADER"</span><span class="p">,</span> <span class="n" style="color: #333;">dtype</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">dtype</span><span class="p">)</span></span>
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<pre style="margin: 0;"> <span id="LC737" class="line" lang="python"> <span class="k" style="font-weight: 600;">while</span> <span class="n" style="color: #333;">rec</span> <span class="o" style="font-weight: 600;">!=</span> <span class="bp" style="color: #999;">None</span><span class="p">:</span></span>
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<pre style="margin: 0;">-<span id="LC691" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">dtype</span> <span class="o" style="font-weight: 600;">==</span> <span class="s" style="color: #d14;">'numpy'</span><span class="p">:</span></span>
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<pre style="margin: 0;">-<span id="LC692" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">records</span><span class="p">[</span><span class="n" style="color: #333;">mod</span><span class="p">].</span><span class="n" style="color: #333;">append</span><span class="p">(</span><span class="n" style="color: #333;">rec</span><span class="p">)</span></span>
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<pre style="margin: 0;">-<span id="LC693" class="line" lang="python"> <span class="k" style="font-weight: 600;">else</span><span class="p">:</span></span>
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<pre style="margin: 0;">-<span id="LC694" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">records</span><span class="p">[</span><span class="n" style="color: #333;">mod</span><span class="p">].</span><span class="n" style="color: #333;">append</span><span class="p">(</span><span class="n" style="color: #333;">rec</span><span class="p">)</span></span>
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<pre style="margin: 0;">-<span id="LC695" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC738" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">records</span><span class="p">[</span><span class="n" style="color: #333;">mod</span><span class="p">].</span><span class="n" style="color: #333;">append</span><span class="p">(</span><span class="n" style="color: #333;">rec</span><span class="p">)</span></span>
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<pre style="margin: 0;"> <span id="LC739" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">data</span><span class="p">[</span><span class="s" style="color: #d14;">'modules'</span><span class="p">][</span><span class="n" style="color: #333;">mod</span><span class="p">][</span><span class="s" style="color: #d14;">'num_records'</span><span class="p">]</span> <span class="o" style="font-weight: 600;">+=</span> <span class="mi" style="color: #099;">1</span></span>
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740
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<pre style="margin: 0;"> <span id="LC740" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC741" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># fetch next</span></span>
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<pre style="margin: 0;">-<span id="LC699" class="line" lang="python"> <span class="n" style="color: #333;">rec</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">backend</span><span class="p">.</span><span class="n" style="color: #333;">log_get_apmpi_record</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">log</span><span class="p">,</span> <span class="n" style="color: #333;">_structdefs</span><span class="p">[</span><span class="n" style="color: #333;">mod</span><span class="o" style="font-weight: 600;">+</span><span class="s" style="color: #d14;">"-PERF"</span><span class="p">])</span></span>
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<pre style="margin: 0;">-<span id="LC700" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC742" class="line" lang="python"> <span class="n" style="color: #333;">rec</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">backend</span><span class="p">.</span><span class="n" style="color: #333;">log_get_apxc_record</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">log</span><span class="p">,</span> <span class="n" style="color: #333;">mod</span><span class="p">,</span> <span class="s" style="color: #d14;">"PERF"</span><span class="p">,</span> <span class="n" style="color: #333;">dtype</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">dtype</span><span class="p">)</span></span>
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<pre style="margin: 0;"> <span id="LC743" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC744" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">lookup_name_records</span><span class="p">:</span></span>
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<pre style="margin: 0;"> <span id="LC745" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">update_name_records</span><span class="p">()</span></span>
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<pre style="margin: 0;">-<span id="LC704" class="line" lang="python"><span class="idiff left right"> </span></span>
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<pre style="margin: 0;">-<span id="LC705" class="line" lang="python"> <span class="k" style="font-weight: 600;">pass</span><span class="idiff left right"> </span></span>
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<pre style="margin: 0;">-<span id="LC706" class="line" lang="python"><span class="idiff left right"> </span></span>
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<pre style="margin: 0;">+<span id="LC747" class="line" lang="python"> <span class="k" style="font-weight: 600;">pass</span></span>
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<pre style="margin: 0;"> <span id="LC749" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">mod_read_all_dxt_records</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">,</span> <span class="n" style="color: #333;">mod</span><span class="p">,</span> <span class="n" style="color: #333;">dtype</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">None</span><span class="p">,</span> <span class="n" style="color: #333;">warnings</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">True</span><span class="p">,</span> <span class="n" style="color: #333;">reads</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">True</span><span class="p">,</span> <span class="n" style="color: #333;">writes</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">True</span><span class="p">):</span></span>
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<pre style="margin: 0;"> <span id="LC750" class="line" lang="python"> <span class="s" style="color: #d14;">"""</span></span>
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<pre style="margin: 0;"> <span id="LC751" class="line" lang="python"><span class="s" style="color: #d14;"> Reads all dxt records for provided module.</span></span>
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<li id="f1374717942dbc3c492f20af9807bed81ca3d357">
<a href="https://xgitlab.cels.anl.gov/darshan/darshan/-/compare/d9fd34f33d56a14b9fc47556298134911d755681...bdec813963ab6484d928fe361da0e5887de33a51#f1374717942dbc3c492f20af9807bed81ca3d357"><strong>darshan-util/pydarshan/examples/apmpi_analysis.py</strong>
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<pre style="margin: 0;">-<span id="LC1" class="line" lang="python"><span class="c1" style="color: #998; font-style: italic;">#!/usr/bin/env python</span></span>
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<pre style="margin: 0;">-<span id="LC2" class="line" lang="python"><span class="c1" style="color: #998; font-style: italic;"># coding: utf-8</span></span>
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<pre style="margin: 0;">-<span id="LC3" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC4" class="line" lang="python"><span class="c1" style="color: #998; font-style: italic;"># # DarshanUtils for Python for processing APMPI records</span></span>
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<pre style="margin: 0;">-<span id="LC5" class="line" lang="python"><span class="c1" style="color: #998; font-style: italic;">#</span></span>
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<pre style="margin: 0;">-<span id="LC6" class="line" lang="python"><span class="c1" style="color: #998; font-style: italic;"># This notebook gives an overwiew of features provided by the Python bindings for DarshanUtils.</span></span>
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<pre style="margin: 0;">-<span id="LC7" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC8" class="line" lang="python"><span class="c1" style="color: #998; font-style: italic;"># By default all AMMPI module records, metadata, and the name records are loaded when opening a Darshan log:</span></span>
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<pre style="margin: 0;">-<span id="LC9" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC10" class="line" lang="python"><span class="kn" style="font-weight: 600;">import</span> <span class="nn" style="color: #555;">argparse</span></span>
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<pre style="margin: 0;">-<span id="LC11" class="line" lang="python"><span class="kn" style="font-weight: 600;">import</span> <span class="nn" style="color: #555;">darshan</span></span>
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<pre style="margin: 0;">-<span id="LC12" class="line" lang="python"><span class="kn" style="font-weight: 600;">import</span> <span class="nn" style="color: #555;">cffi</span></span>
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<pre style="margin: 0;">-<span id="LC13" class="line" lang="python"><span class="kn" style="font-weight: 600;">import</span> <span class="nn" style="color: #555;">numpy</span></span>
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<pre style="margin: 0;">-<span id="LC14" class="line" lang="python"><span class="kn" style="font-weight: 600;">import</span> <span class="nn" style="color: #555;">pandas</span></span>
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<pre style="margin: 0;">-<span id="LC15" class="line" lang="python"><span class="kn" style="font-weight: 600;">import</span> <span class="nn" style="color: #555;">matplotlib</span></span>
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<pre style="margin: 0;">-<span id="LC16" class="line" lang="python"><span class="c1" style="color: #998; font-style: italic;">#import pprint</span></span>
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<pre style="margin: 0;">-<span id="LC17" class="line" lang="python"><span class="kn" style="font-weight: 600;">import</span> <span class="nn" style="color: #555;">pandas</span> <span class="k" style="font-weight: 600;">as</span> <span class="n" style="color: #333;">pd</span></span>
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<pre style="margin: 0;">-<span id="LC18" class="line" lang="python"><span class="kn" style="font-weight: 600;">import</span> <span class="nn" style="color: #555;">logging</span></span>
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<pre style="margin: 0;">-<span id="LC19" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC20" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">darshan.backend.cffi_backend</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">ffi</span></span>
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<pre style="margin: 0;">-<span id="LC21" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC22" class="line" lang="python"><span class="n" style="color: #333;">logger</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">logging</span><span class="p">.</span><span class="n" style="color: #333;">getLogger</span><span class="p">(</span><span class="n" style="color: #333;">__name__</span><span class="p">)</span></span>
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<pre style="margin: 0;">-<span id="LC23" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">darshan.report</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">DarshanReport</span></span>
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<pre style="margin: 0;">-<span id="LC24" class="line" lang="python"><span class="kn" style="font-weight: 600;">import</span> <span class="nn" style="color: #555;">darshan.backend.cffi_backend</span> <span class="k" style="font-weight: 600;">as</span> <span class="n" style="color: #333;">backend</span></span>
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<pre style="margin: 0;">-<span id="LC25" class="line" lang="python"><span class="kn" style="font-weight: 600;">import</span> <span class="nn" style="color: #555;">darshan</span></span>
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<pre style="margin: 0;">-<span id="LC26" class="line" lang="python"><span class="kn" style="font-weight: 600;">import</span> <span class="nn" style="color: #555;">pandas</span> <span class="k" style="font-weight: 600;">as</span> <span class="n" style="color: #333;">pd</span></span>
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<pre style="margin: 0;">-<span id="LC27" class="line" lang="python"><span class="kn" style="font-weight: 600;">import</span> <span class="nn" style="color: #555;">time</span></span>
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<pre style="margin: 0;">-<span id="LC28" class="line" lang="python"><span class="s" style="color: #d14;">'''</span></span>
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<pre style="margin: 0;">-<span id="LC29" class="line" lang="python"><span class="s" style="color: #d14;">from rich import print as rprint</span></span>
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<pre style="margin: 0;">-<span id="LC30" class="line" lang="python"><span class="s" style="color: #d14;">from rich import pretty</span></span>
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<pre style="margin: 0;">-<span id="LC31" class="line" lang="python"><span class="s" style="color: #d14;">from rich.panel import Panel</span></span>
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<pre style="margin: 0;">-<span id="LC32" class="line" lang="python"><span class="s" style="color: #d14;">from rich import inspect</span></span>
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<pre style="margin: 0;">-<span id="LC33" class="line" lang="python"><span class="s" style="color: #d14;">from rich.color import Color</span></span>
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<pre style="margin: 0;">-<span id="LC34" class="line" lang="python"><span class="s" style="color: #d14;">from rich.console import Console</span></span>
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<pre style="margin: 0;">-<span id="LC35" class="line" lang="python"><span class="s" style="color: #d14;">console = Console()</span></span>
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<pre style="margin: 0;">-<span id="LC36" class="line" lang="python"><span class="s" style="color: #d14;">'''</span></span>
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<pre style="margin: 0;">-<span id="LC37" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">matplotlib.backends.backend_pdf</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">FigureCanvasPdf</span><span class="p">,</span> <span class="n" style="color: #333;">PdfPages</span></span>
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<pre style="margin: 0;">-<span id="LC38" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">matplotlib.figure</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">Figure</span></span>
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<pre style="margin: 0;">-<span id="LC39" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC40" class="line" lang="python"><span class="c1" style="color: #998; font-style: italic;">#pp = pprint.PrettyPrinter()</span></span>
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<pre style="margin: 0;">-<span id="LC41" class="line" lang="python"><span class="c1" style="color: #998; font-style: italic;">#pretty.install()</span></span>
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<pre style="margin: 0;">-<span id="LC42" class="line" lang="python"><span class="c1" style="color: #998; font-style: italic;">#color = Color.parse("blue")</span></span>
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<pre style="margin: 0;">-<span id="LC43" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC44" class="line" lang="python"><span class="c1" style="color: #998; font-style: italic;">#inspect(color, methods=True)</span></span>
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<pre style="margin: 0;">-<span id="LC45" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC46" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC47" class="line" lang="python"><span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">main</span><span class="p">():</span></span>
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<pre style="margin: 0;">-<span id="LC48" class="line" lang="python"> <span class="n" style="color: #333;">parser</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">argparse</span><span class="p">.</span><span class="n" style="color: #333;">ArgumentParser</span><span class="p">()</span></span>
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<pre style="margin: 0;">-<span id="LC49" class="line" lang="python"> <span class="n" style="color: #333;">parser</span><span class="p">.</span><span class="n" style="color: #333;">add_argument</span><span class="p">(</span></span>
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<pre style="margin: 0;">-<span id="LC50" class="line" lang="python"> <span class="s" style="color: #d14;">"--quiet"</span><span class="p">,</span></span>
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<pre style="margin: 0;">-<span id="LC51" class="line" lang="python"> <span class="n" style="color: #333;">dest</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">"quiet"</span><span class="p">,</span></span>
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<pre style="margin: 0;">-<span id="LC52" class="line" lang="python"> <span class="n" style="color: #333;">action</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">"store_true"</span><span class="p">,</span></span>
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<pre style="margin: 0;">-<span id="LC53" class="line" lang="python"> <span class="n" style="color: #333;">default</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">False</span><span class="p">,</span></span>
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<pre style="margin: 0;">-<span id="LC54" class="line" lang="python"> <span class="n" style="color: #333;">help</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">"Surpress zero count calls"</span><span class="p">,</span></span>
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<pre style="margin: 0;">-<span id="LC55" class="line" lang="python"> <span class="p">)</span></span>
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<pre style="margin: 0;">-<span id="LC56" class="line" lang="python"> <span class="n" style="color: #333;">parser</span><span class="p">.</span><span class="n" style="color: #333;">add_argument</span><span class="p">(</span></span>
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<pre style="margin: 0;">-<span id="LC57" class="line" lang="python"> <span class="s" style="color: #d14;">"logname"</span><span class="p">,</span> <span class="n" style="color: #333;">metavar</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">"logname"</span><span class="p">,</span> <span class="nb" style="color: #0086b3;">type</span><span class="o" style="font-weight: 600;">=</span><span class="nb" style="color: #0086b3;">str</span><span class="p">,</span> <span class="n" style="color: #333;">nargs</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="n" style="color: #333;">help</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">"Logname to parse"</span></span>
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<pre style="margin: 0;">-<span id="LC58" class="line" lang="python"> <span class="p">)</span></span>
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<pre style="margin: 0;">-<span id="LC59" class="line" lang="python"> <span class="n" style="color: #333;">args</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">parser</span><span class="p">.</span><span class="n" style="color: #333;">parse_args</span><span class="p">()</span></span>
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<pre style="margin: 0;">-<span id="LC60" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC61" class="line" lang="python"> <span class="n" style="color: #333;">report</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">darshan</span><span class="p">.</span><span class="n" style="color: #333;">DarshanReport</span><span class="p">(</span><span class="n" style="color: #333;">args</span><span class="p">.</span><span class="n" style="color: #333;">logname</span><span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">],</span> <span class="n" style="color: #333;">read_all</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">False</span><span class="p">)</span></span>
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<pre style="margin: 0;">-<span id="LC62" class="line" lang="python"> <span class="n" style="color: #333;">report</span><span class="p">.</span><span class="n" style="color: #333;">info</span><span class="p">()</span></span>
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<pre style="margin: 0;">-<span id="LC63" class="line" lang="python"> </span>
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<pre style="margin: 0;">-<span id="LC64" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="s" style="color: #d14;">"APMPI"</span> <span class="ow" style="font-weight: 600;">not</span> <span class="ow" style="font-weight: 600;">in</span> <span class="n" style="color: #333;">report</span><span class="p">.</span><span class="n" style="color: #333;">modules</span><span class="p">:</span></span>
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65
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<pre style="margin: 0;">-<span id="LC65" class="line" lang="python"> <span class="k" style="font-weight: 600;">print</span><span class="p">(</span><span class="s" style="color: #d14;">"This log does not contain AutoPerf MPI data"</span><span class="p">)</span></span>
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66
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<pre style="margin: 0;">-<span id="LC66" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span></span>
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67
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<pre style="margin: 0;">-<span id="LC67" class="line" lang="python"> <span class="n" style="color: #333;">r</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">report</span><span class="p">.</span><span class="n" style="color: #333;">mod_read_all_apmpi_records</span><span class="p">(</span><span class="s" style="color: #d14;">"APMPI"</span><span class="p">)</span></span>
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<pre style="margin: 0;">-<span id="LC68" class="line" lang="python"> </span>
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<pre style="margin: 0;">-<span id="LC69" class="line" lang="python"> <span class="n" style="color: #333;">report</span><span class="p">.</span><span class="n" style="color: #333;">update_name_records</span><span class="p">()</span></span>
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<pre style="margin: 0;">-<span id="LC70" class="line" lang="python"> <span class="n" style="color: #333;">report</span><span class="p">.</span><span class="n" style="color: #333;">info</span><span class="p">()</span></span>
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<pre style="margin: 0;">-<span id="LC71" class="line" lang="python"> </span>
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<pre style="margin: 0;">-<span id="LC72" class="line" lang="python"> <span class="n" style="color: #333;">pdf</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">matplotlib</span><span class="p">.</span><span class="n" style="color: #333;">backends</span><span class="p">.</span><span class="n" style="color: #333;">backend_pdf</span><span class="p">.</span><span class="n" style="color: #333;">PdfPages</span><span class="p">(</span><span class="s" style="color: #d14;">"apmpi_output.pdf"</span><span class="p">)</span></span>
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<pre style="margin: 0;">-<span id="LC73" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC74" class="line" lang="python"> <span class="n" style="color: #333;">header_rec</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">report</span><span class="p">.</span><span class="n" style="color: #333;">records</span><span class="p">[</span><span class="s" style="color: #d14;">"APMPI"</span><span class="p">][</span><span class="mi" style="color: #099;">0</span><span class="p">]</span></span>
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<pre style="margin: 0;">-<span id="LC75" class="line" lang="python"> <span class="k" style="font-weight: 600;">print</span><span class="p">(</span><span class="s" style="color: #d14;">"# darshan log version: "</span><span class="p">,</span> <span class="n" style="color: #333;">header_rec</span><span class="p">[</span><span class="s" style="color: #d14;">"version"</span><span class="p">])</span></span>
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<pre style="margin: 0;">-<span id="LC76" class="line" lang="python"> <span class="n" style="color: #333;">sync_flag</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">header_rec</span><span class="p">[</span><span class="s" style="color: #d14;">"sync_flag"</span><span class="p">]</span></span>
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<pre style="margin: 0;">-<span id="LC77" class="line" lang="python"> <span class="k" style="font-weight: 600;">print</span><span class="p">(</span></span>
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<pre style="margin: 0;">-<span id="LC78" class="line" lang="python"> <span class="s" style="color: #d14;">"APMPI Variance in total mpi time: "</span><span class="p">,</span> <span class="n" style="color: #333;">header_rec</span><span class="p">[</span><span class="s" style="color: #d14;">"variance_total_mpitime"</span><span class="p">],</span> <span class="s" style="color: #d14;">"</span><span class="si" style="color: #d14;">\</span><span class="se" style="color: #d14;">n</span><span class="s" style="color: #d14;">"</span></span>
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<pre style="margin: 0;">-<span id="LC79" class="line" lang="python"> <span class="p">)</span></span>
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<pre style="margin: 0;">-<span id="LC80" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">sync_flag</span><span class="p">:</span></span>
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<pre style="margin: 0;">-<span id="LC81" class="line" lang="python"> <span class="k" style="font-weight: 600;">print</span><span class="p">(</span></span>
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<pre style="margin: 0;">-<span id="LC82" class="line" lang="python"> <span class="s" style="color: #d14;">"APMPI Variance in total mpi sync time: "</span><span class="p">,</span></span>
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<pre style="margin: 0;">-<span id="LC83" class="line" lang="python"> <span class="n" style="color: #333;">header_rec</span><span class="p">[</span><span class="s" style="color: #d14;">"variance_total_mpisynctime"</span><span class="p">],</span></span>
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<pre style="margin: 0;">-<span id="LC84" class="line" lang="python"> <span class="p">)</span></span>
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<pre style="margin: 0;">-<span id="LC85" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC86" class="line" lang="python"> <span class="n" style="color: #333;">df_apmpi</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">pd</span><span class="p">.</span><span class="n" style="color: #333;">DataFrame</span><span class="p">()</span></span>
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<pre style="margin: 0;">-<span id="LC87" class="line" lang="python"> <span class="n" style="color: #333;">list_mpiop</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[]</span></span>
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<pre style="margin: 0;">-<span id="LC88" class="line" lang="python"> <span class="n" style="color: #333;">list_rank</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[]</span></span>
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<pre style="margin: 0;">-<span id="LC89" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">rec</span> <span class="ow" style="font-weight: 600;">in</span> <span class="n" style="color: #333;">report</span><span class="p">.</span><span class="n" style="color: #333;">records</span><span class="p">[</span><span class="s" style="color: #d14;">"APMPI"</span><span class="p">][</span></span>
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<pre style="margin: 0;">-<span id="LC90" class="line" lang="python"> <span class="mi" style="color: #099;">1</span><span class="p">:</span></span>
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<pre style="margin: 0;">-<span id="LC91" class="line" lang="python"> <span class="p">]:</span> <span class="c1" style="color: #998; font-style: italic;"># skip the first record which is header record</span></span>
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<pre style="margin: 0;">-<span id="LC92" class="line" lang="python"> <span class="n" style="color: #333;">mpi_nonzero_callcount</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[]</span></span>
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93
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<pre style="margin: 0;">-<span id="LC93" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">k</span><span class="p">,</span> <span class="n" style="color: #333;">v</span> <span class="ow" style="font-weight: 600;">in</span> <span class="n" style="color: #333;">rec</span><span class="p">[</span><span class="s" style="color: #d14;">"all_counters"</span><span class="p">].</span><span class="n" style="color: #333;">items</span><span class="p">():</span></span>
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<pre style="margin: 0;">-<span id="LC94" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">k</span><span class="p">.</span><span class="n" style="color: #333;">endswith</span><span class="p">(</span><span class="s" style="color: #d14;">"_CALL_COUNT"</span><span class="p">)</span> <span class="ow" style="font-weight: 600;">and</span> <span class="n" style="color: #333;">v</span> <span class="o" style="font-weight: 600;">></span> <span class="mi" style="color: #099;">0</span><span class="p">:</span></span>
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<pre style="margin: 0;">-<span id="LC95" class="line" lang="python"> <span class="n" style="color: #333;">mpi_nonzero_callcount</span><span class="p">.</span><span class="n" style="color: #333;">append</span><span class="p">(</span><span class="n" style="color: #333;">k</span><span class="p">[:</span> <span class="o" style="font-weight: 600;">-</span><span class="p">(</span><span class="nb" style="color: #0086b3;">len</span><span class="p">(</span><span class="s" style="color: #d14;">"CALL_COUNT"</span><span class="p">))])</span></span>
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96
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<pre style="margin: 0;">-<span id="LC96" class="line" lang="python"></span>
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97
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<pre style="margin: 0;">-<span id="LC97" class="line" lang="python"> <span class="n" style="color: #333;">df_rank</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">pd</span><span class="p">.</span><span class="n" style="color: #333;">DataFrame</span><span class="p">()</span></span>
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98
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<pre style="margin: 0;">-<span id="LC98" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">mpiop</span> <span class="ow" style="font-weight: 600;">in</span> <span class="n" style="color: #333;">mpi_nonzero_callcount</span><span class="p">:</span></span>
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99
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<pre style="margin: 0;">-<span id="LC99" class="line" lang="python"> <span class="n" style="color: #333;">ncall</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">mpiop</span></span>
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100
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<pre style="margin: 0;">-<span id="LC100" class="line" lang="python"> <span class="n" style="color: #333;">ncount</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">mpiop</span> <span class="o" style="font-weight: 600;">+</span> <span class="s" style="color: #d14;">"CALL_COUNT"</span></span>
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101
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<pre style="margin: 0;">-<span id="LC101" class="line" lang="python"> <span class="n" style="color: #333;">nsize</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">mpiop</span> <span class="o" style="font-weight: 600;">+</span> <span class="s" style="color: #d14;">"TOTAL_BYTES"</span></span>
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102
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<pre style="margin: 0;">-<span id="LC102" class="line" lang="python"> <span class="n" style="color: #333;">h0</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">mpiop</span> <span class="o" style="font-weight: 600;">+</span> <span class="s" style="color: #d14;">"MSG_SIZE_AGG_0_256"</span></span>
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103
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<pre style="margin: 0;">-<span id="LC103" class="line" lang="python"> <span class="n" style="color: #333;">h1</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">mpiop</span> <span class="o" style="font-weight: 600;">+</span> <span class="s" style="color: #d14;">"MSG_SIZE_AGG_256_1K"</span></span>
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104
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<pre style="margin: 0;">-<span id="LC104" class="line" lang="python"> <span class="n" style="color: #333;">h2</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">mpiop</span> <span class="o" style="font-weight: 600;">+</span> <span class="s" style="color: #d14;">"MSG_SIZE_AGG_1K_8K"</span></span>
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105
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<pre style="margin: 0;">-<span id="LC105" class="line" lang="python"> <span class="n" style="color: #333;">h3</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">mpiop</span> <span class="o" style="font-weight: 600;">+</span> <span class="s" style="color: #d14;">"MSG_SIZE_AGG_8K_256K"</span></span>
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106
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<pre style="margin: 0;">-<span id="LC106" class="line" lang="python"> <span class="n" style="color: #333;">h4</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">mpiop</span> <span class="o" style="font-weight: 600;">+</span> <span class="s" style="color: #d14;">"MSG_SIZE_AGG_256K_1M"</span></span>
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107
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<pre style="margin: 0;">-<span id="LC107" class="line" lang="python"> <span class="n" style="color: #333;">h5</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">mpiop</span> <span class="o" style="font-weight: 600;">+</span> <span class="s" style="color: #d14;">"MSG_SIZE_AGG_1M_PLUS"</span></span>
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108
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<pre style="margin: 0;">-<span id="LC108" class="line" lang="python"> <span class="n" style="color: #333;">ntime</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">mpiop</span> <span class="o" style="font-weight: 600;">+</span> <span class="s" style="color: #d14;">"TOTAL_TIME"</span></span>
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109
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<pre style="margin: 0;">-<span id="LC109" class="line" lang="python"> <span class="n" style="color: #333;">mintime</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">mpiop</span> <span class="o" style="font-weight: 600;">+</span> <span class="s" style="color: #d14;">"MIN_TIME"</span></span>
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110
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<pre style="margin: 0;">-<span id="LC110" class="line" lang="python"> <span class="n" style="color: #333;">maxtime</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">mpiop</span> <span class="o" style="font-weight: 600;">+</span> <span class="s" style="color: #d14;">"MAX_TIME"</span></span>
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111
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<pre style="margin: 0;">-<span id="LC111" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">sync_flag</span><span class="p">:</span></span>
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112
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<pre style="margin: 0;">-<span id="LC112" class="line" lang="python"> <span class="n" style="color: #333;">totalsync</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">mpiop</span> <span class="o" style="font-weight: 600;">+</span> <span class="s" style="color: #d14;">"TOTAL_SYNC_TIME"</span></span>
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113
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<pre style="margin: 0;">-<span id="LC113" class="line" lang="python"></span>
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114
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<pre style="margin: 0;">-<span id="LC114" class="line" lang="python"> <span class="n" style="color: #333;">mpiopstat</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">{}</span></span>
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115
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<pre style="margin: 0;">-<span id="LC115" class="line" lang="python"> <span class="n" style="color: #333;">mpiopstat</span><span class="p">[</span><span class="s" style="color: #d14;">"Rank"</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">rec</span><span class="p">[</span><span class="s" style="color: #d14;">"rank"</span><span class="p">]</span></span>
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116
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<pre style="margin: 0;">-<span id="LC116" class="line" lang="python"> <span class="n" style="color: #333;">mpiopstat</span><span class="p">[</span><span class="s" style="color: #d14;">"Node_ID"</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">rec</span><span class="p">[</span><span class="s" style="color: #d14;">"node_name"</span><span class="p">]</span></span>
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117
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<pre style="margin: 0;">-<span id="LC117" class="line" lang="python"> <span class="n" style="color: #333;">mpiopstat</span><span class="p">[</span><span class="s" style="color: #d14;">"Call"</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">ncall</span><span class="p">[:</span><span class="o" style="font-weight: 600;">-</span><span class="mi" style="color: #099;">1</span><span class="p">]</span></span>
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118
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<pre style="margin: 0;">-<span id="LC118" class="line" lang="python"> <span class="n" style="color: #333;">mpiopstat</span><span class="p">[</span><span class="s" style="color: #d14;">"Total_Time"</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">rec</span><span class="p">[</span><span class="s" style="color: #d14;">"all_counters"</span><span class="p">][</span><span class="n" style="color: #333;">ntime</span><span class="p">]</span></span>
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119
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<pre style="margin: 0;">-<span id="LC119" class="line" lang="python"> <span class="n" style="color: #333;">mpiopstat</span><span class="p">[</span><span class="s" style="color: #d14;">"Count"</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">rec</span><span class="p">[</span><span class="s" style="color: #d14;">"all_counters"</span><span class="p">][</span><span class="n" style="color: #333;">ncount</span><span class="p">]</span></span>
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120
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<pre style="margin: 0;">-<span id="LC120" class="line" lang="python"> <span class="n" style="color: #333;">mpiopstat</span><span class="p">[</span><span class="s" style="color: #d14;">"Total_Bytes"</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">rec</span><span class="p">[</span><span class="s" style="color: #d14;">"all_counters"</span><span class="p">].</span><span class="n" style="color: #333;">get</span><span class="p">(</span><span class="n" style="color: #333;">nsize</span><span class="p">,</span> <span class="bp" style="color: #999;">None</span><span class="p">)</span></span>
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121
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<pre style="margin: 0;">-<span id="LC121" class="line" lang="python"> <span class="n" style="color: #333;">mpiopstat</span><span class="p">[</span><span class="s" style="color: #d14;">"[0-256B]"</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">rec</span><span class="p">[</span><span class="s" style="color: #d14;">"all_counters"</span><span class="p">].</span><span class="n" style="color: #333;">get</span><span class="p">(</span><span class="n" style="color: #333;">h0</span><span class="p">,</span> <span class="bp" style="color: #999;">None</span><span class="p">)</span></span>
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122
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<pre style="margin: 0;">-<span id="LC122" class="line" lang="python"> <span class="n" style="color: #333;">mpiopstat</span><span class="p">[</span><span class="s" style="color: #d14;">"[256-1KB]"</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">rec</span><span class="p">[</span><span class="s" style="color: #d14;">"all_counters"</span><span class="p">].</span><span class="n" style="color: #333;">get</span><span class="p">(</span><span class="n" style="color: #333;">h1</span><span class="p">,</span> <span class="bp" style="color: #999;">None</span><span class="p">)</span></span>
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123
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<pre style="margin: 0;">-<span id="LC123" class="line" lang="python"> <span class="n" style="color: #333;">mpiopstat</span><span class="p">[</span><span class="s" style="color: #d14;">"[1K-8KB]"</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">rec</span><span class="p">[</span><span class="s" style="color: #d14;">"all_counters"</span><span class="p">].</span><span class="n" style="color: #333;">get</span><span class="p">(</span><span class="n" style="color: #333;">h2</span><span class="p">,</span> <span class="bp" style="color: #999;">None</span><span class="p">)</span></span>
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124
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<pre style="margin: 0;">-<span id="LC124" class="line" lang="python"> <span class="n" style="color: #333;">mpiopstat</span><span class="p">[</span><span class="s" style="color: #d14;">"[8K-256KB]"</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">rec</span><span class="p">[</span><span class="s" style="color: #d14;">"all_counters"</span><span class="p">].</span><span class="n" style="color: #333;">get</span><span class="p">(</span><span class="n" style="color: #333;">h3</span><span class="p">,</span> <span class="bp" style="color: #999;">None</span><span class="p">)</span></span>
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125
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<pre style="margin: 0;">-<span id="LC125" class="line" lang="python"> <span class="n" style="color: #333;">mpiopstat</span><span class="p">[</span><span class="s" style="color: #d14;">"256K-1MB"</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">rec</span><span class="p">[</span><span class="s" style="color: #d14;">"all_counters"</span><span class="p">].</span><span class="n" style="color: #333;">get</span><span class="p">(</span><span class="n" style="color: #333;">h4</span><span class="p">,</span> <span class="bp" style="color: #999;">None</span><span class="p">)</span></span>
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<td class="diff-line-num old old_line" data-linenumber="126" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #fac5cd; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#f9d7dc">
126
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<pre style="margin: 0;">-<span id="LC126" class="line" lang="python"> <span class="n" style="color: #333;">mpiopstat</span><span class="p">[</span><span class="s" style="color: #d14;">"[>1MB]"</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">rec</span><span class="p">[</span><span class="s" style="color: #d14;">"all_counters"</span><span class="p">].</span><span class="n" style="color: #333;">get</span><span class="p">(</span><span class="n" style="color: #333;">h5</span><span class="p">,</span> <span class="bp" style="color: #999;">None</span><span class="p">)</span></span>
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<td class="diff-line-num old old_line" data-linenumber="127" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #fac5cd; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#f9d7dc">
127
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<pre style="margin: 0;">-<span id="LC127" class="line" lang="python"> <span class="n" style="color: #333;">mpiopstat</span><span class="p">[</span><span class="s" style="color: #d14;">"Min_Time"</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">rec</span><span class="p">[</span><span class="s" style="color: #d14;">"all_counters"</span><span class="p">][</span><span class="n" style="color: #333;">mintime</span><span class="p">]</span></span>
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<td class="diff-line-num old old_line" data-linenumber="128" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #fac5cd; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#f9d7dc">
128
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<pre style="margin: 0;">-<span id="LC128" class="line" lang="python"> <span class="n" style="color: #333;">mpiopstat</span><span class="p">[</span><span class="s" style="color: #d14;">"Max_Time"</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">rec</span><span class="p">[</span><span class="s" style="color: #d14;">"all_counters"</span><span class="p">][</span><span class="n" style="color: #333;">maxtime</span><span class="p">]</span></span>
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129
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<pre style="margin: 0;">-<span id="LC129" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">sync_flag</span><span class="p">:</span></span>
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<pre style="margin: 0;">-<span id="LC130" class="line" lang="python"> <span class="n" style="color: #333;">mpiopstat</span><span class="p">[</span><span class="s" style="color: #d14;">"Total_SYNC_Time"</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">rec</span><span class="p">[</span><span class="s" style="color: #d14;">"all_counters"</span><span class="p">][</span><span class="n" style="color: #333;">totalsync</span><span class="p">]</span></span>
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<pre style="margin: 0;">-<span id="LC131" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC132" class="line" lang="python"> <span class="n" style="color: #333;">list_mpiop</span><span class="p">.</span><span class="n" style="color: #333;">append</span><span class="p">(</span><span class="n" style="color: #333;">mpiopstat</span><span class="p">)</span></span>
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<pre style="margin: 0;">-<span id="LC133" class="line" lang="python"> <span class="n" style="color: #333;">rankstat</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">{}</span></span>
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<pre style="margin: 0;">-<span id="LC134" class="line" lang="python"> <span class="n" style="color: #333;">rankstat</span><span class="p">[</span><span class="s" style="color: #d14;">"Rank"</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">rec</span><span class="p">[</span><span class="s" style="color: #d14;">"rank"</span><span class="p">]</span></span>
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<pre style="margin: 0;">-<span id="LC135" class="line" lang="python"> <span class="n" style="color: #333;">rankstat</span><span class="p">[</span><span class="s" style="color: #d14;">"Node_ID"</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">rec</span><span class="p">[</span><span class="s" style="color: #d14;">"node_name"</span><span class="p">]</span></span>
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<pre style="margin: 0;">-<span id="LC136" class="line" lang="python"> <span class="n" style="color: #333;">rankstat</span><span class="p">[</span><span class="s" style="color: #d14;">"Call"</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="s" style="color: #d14;">"Total_MPI_time"</span></span>
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<pre style="margin: 0;">-<span id="LC137" class="line" lang="python"> <span class="n" style="color: #333;">rankstat</span><span class="p">[</span><span class="s" style="color: #d14;">"Total_Time"</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">rec</span><span class="p">[</span><span class="s" style="color: #d14;">"all_counters"</span><span class="p">][</span><span class="s" style="color: #d14;">"RANK_TOTAL_MPITIME"</span><span class="p">]</span></span>
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<pre style="margin: 0;">-<span id="LC138" class="line" lang="python"> <span class="n" style="color: #333;">list_rank</span><span class="p">.</span><span class="n" style="color: #333;">append</span><span class="p">(</span><span class="n" style="color: #333;">rankstat</span><span class="p">)</span></span>
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<pre style="margin: 0;">-<span id="LC139" class="line" lang="python"> <span class="n" style="color: #333;">df_rank</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">pd</span><span class="p">.</span><span class="n" style="color: #333;">DataFrame</span><span class="p">(</span><span class="n" style="color: #333;">list_rank</span><span class="p">)</span></span>
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<pre style="margin: 0;">-<span id="LC140" class="line" lang="python"> <span class="n" style="color: #333;">avg_total_time</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">df_rank</span><span class="p">[</span><span class="s" style="color: #d14;">"Total_Time"</span><span class="p">].</span><span class="n" style="color: #333;">mean</span><span class="p">()</span></span>
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<pre style="margin: 0;">-<span id="LC141" class="line" lang="python"> <span class="n" style="color: #333;">max_total_time</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">df_rank</span><span class="p">[</span><span class="s" style="color: #d14;">"Total_Time"</span><span class="p">].</span><span class="nb" style="color: #0086b3;">max</span><span class="p">()</span></span>
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<pre style="margin: 0;">-<span id="LC142" class="line" lang="python"> <span class="n" style="color: #333;">min_total_time</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">df_rank</span><span class="p">[</span><span class="s" style="color: #d14;">"Total_Time"</span><span class="p">].</span><span class="nb" style="color: #0086b3;">min</span><span class="p">()</span></span>
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<pre style="margin: 0;">-<span id="LC143" class="line" lang="python"> <span class="n" style="color: #333;">max_rank</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">df_rank</span><span class="p">.</span><span class="n" style="color: #333;">loc</span><span class="p">[</span><span class="n" style="color: #333;">df_rank</span><span class="p">[</span><span class="s" style="color: #d14;">"Total_Time"</span><span class="p">].</span><span class="n" style="color: #333;">idxmax</span><span class="p">()][</span><span class="s" style="color: #d14;">"Rank"</span><span class="p">]</span></span>
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<td class="diff-line-num old old_line" data-linenumber="144" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #fac5cd; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#f9d7dc">
144
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<pre style="margin: 0;">-<span id="LC144" class="line" lang="python"> <span class="n" style="color: #333;">min_rank</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">df_rank</span><span class="p">.</span><span class="n" style="color: #333;">loc</span><span class="p">[</span><span class="n" style="color: #333;">df_rank</span><span class="p">[</span><span class="s" style="color: #d14;">"Total_Time"</span><span class="p">].</span><span class="n" style="color: #333;">idxmin</span><span class="p">()][</span><span class="s" style="color: #d14;">"Rank"</span><span class="p">]</span></span>
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145
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<pre style="margin: 0;">-<span id="LC145" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># assumption: row index and rank id are same in df_rank </span></span>
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146
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<pre style="margin: 0;">-<span id="LC146" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># .. need to check if that is an incorrect assumption</span></span>
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147
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<pre style="margin: 0;">-<span id="LC147" class="line" lang="python"> <span class="n" style="color: #333;">mean_rank</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">(</span></span>
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<td class="diff-line-num old old_line" data-linenumber="148" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #fac5cd; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#f9d7dc">
148
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<pre style="margin: 0;">-<span id="LC148" class="line" lang="python"> <span class="p">(</span><span class="n" style="color: #333;">df_rank</span><span class="p">[</span><span class="s" style="color: #d14;">"Total_Time"</span><span class="p">]</span> <span class="o" style="font-weight: 600;">-</span> <span class="n" style="color: #333;">df_rank</span><span class="p">[</span><span class="s" style="color: #d14;">"Total_Time"</span><span class="p">].</span><span class="n" style="color: #333;">mean</span><span class="p">()).</span><span class="nb" style="color: #0086b3;">abs</span><span class="p">().</span><span class="n" style="color: #333;">argsort</span><span class="p">()[:</span><span class="mi" style="color: #099;">1</span><span class="p">][</span><span class="mi" style="color: #099;">0</span><span class="p">]</span></span>
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<pre style="margin: 0;">-<span id="LC149" class="line" lang="python"> <span class="p">)</span></span>
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150
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<pre style="margin: 0;">-<span id="LC150" class="line" lang="python"></span>
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151
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<pre style="margin: 0;">-<span id="LC151" class="line" lang="python"> <span class="n" style="color: #333;">list_combined</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">list_mpiop</span> <span class="o" style="font-weight: 600;">+</span> <span class="n" style="color: #333;">list_rank</span></span>
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152
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<pre style="margin: 0;">-<span id="LC152" class="line" lang="python"> <span class="n" style="color: #333;">df_apmpi</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">pd</span><span class="p">.</span><span class="n" style="color: #333;">DataFrame</span><span class="p">(</span><span class="n" style="color: #333;">list_combined</span><span class="p">)</span></span>
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<td class="diff-line-num old old_line" data-linenumber="153" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #fac5cd; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#f9d7dc">
153
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<pre style="margin: 0;">-<span id="LC153" class="line" lang="python"> <span class="n" style="color: #333;">df_apmpi</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">df_apmpi</span><span class="p">.</span><span class="n" style="color: #333;">sort_values</span><span class="p">(</span><span class="n" style="color: #333;">by</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">"Rank"</span><span class="p">,</span> <span class="s" style="color: #d14;">"Total_Time"</span><span class="p">],</span> <span class="n" style="color: #333;">ascending</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="bp" style="color: #999;">True</span><span class="p">,</span> <span class="bp" style="color: #999;">False</span><span class="p">])</span></span>
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154
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<pre style="margin: 0;">-<span id="LC154" class="line" lang="python"> <span class="k" style="font-weight: 600;">print</span><span class="p">(</span><span class="s" style="color: #d14;">"[bold green] MPI stats for rank with maximum MPI time"</span><span class="p">)</span><span class="c1" style="color: #998; font-style: italic;">#, border_style="blue")</span></span>
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155
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<pre style="margin: 0;">-<span id="LC155" class="line" lang="python"> <span class="k" style="font-weight: 600;">print</span><span class="p">(</span><span class="s" style="color: #d14;">"[bold green] MPI stats for rank with maximum MPI time</span><span class="si" style="color: #d14;">\</span><span class="se" style="color: #d14;">n</span><span class="s" style="color: #d14;">"</span><span class="p">,</span> <span class="n" style="color: #333;">df_apmpi</span><span class="p">.</span><span class="n" style="color: #333;">loc</span><span class="p">[</span><span class="n" style="color: #333;">df_apmpi</span><span class="p">[</span><span class="s" style="color: #d14;">"Rank"</span><span class="p">]</span> <span class="o" style="font-weight: 600;">==</span> <span class="n" style="color: #333;">max_rank</span><span class="p">])</span></span>
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156
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<pre style="margin: 0;">-<span id="LC156" class="line" lang="python"> <span class="k" style="font-weight: 600;">print</span><span class="p">(</span><span class="s" style="color: #d14;">"[bold green] MPI stats for rank with minimum MPI time"</span><span class="p">)</span><span class="c1" style="color: #998; font-style: italic;"># border_style="blue")</span></span>
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157
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<pre style="margin: 0;">-<span id="LC157" class="line" lang="python"> <span class="k" style="font-weight: 600;">print</span><span class="p">(</span><span class="n" style="color: #333;">df_apmpi</span><span class="p">.</span><span class="n" style="color: #333;">loc</span><span class="p">[</span><span class="n" style="color: #333;">df_apmpi</span><span class="p">[</span><span class="s" style="color: #d14;">"Rank"</span><span class="p">]</span> <span class="o" style="font-weight: 600;">==</span> <span class="n" style="color: #333;">min_rank</span><span class="p">])</span></span>
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158
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<pre style="margin: 0;">-<span id="LC158" class="line" lang="python"> <span class="k" style="font-weight: 600;">print</span><span class="p">(</span><span class="s" style="color: #d14;">"[bold green] MPI stats for rank with mean MPI time"</span><span class="p">)</span><span class="c1" style="color: #998; font-style: italic;">#, border_style="blue")</span></span>
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<td class="diff-line-num old old_line" data-linenumber="159" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #fac5cd; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#f9d7dc">
159
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<pre style="margin: 0;">-<span id="LC159" class="line" lang="python"> <span class="k" style="font-weight: 600;">print</span><span class="p">(</span><span class="n" style="color: #333;">df_apmpi</span><span class="p">.</span><span class="n" style="color: #333;">loc</span><span class="p">[</span><span class="n" style="color: #333;">df_apmpi</span><span class="p">[</span><span class="s" style="color: #d14;">"Rank"</span><span class="p">]</span> <span class="o" style="font-weight: 600;">==</span> <span class="n" style="color: #333;">mean_rank</span><span class="p">])</span></span>
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160
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<pre style="margin: 0;">-<span id="LC160" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># print(df_apmpi)</span></span>
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161
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<pre style="margin: 0;">-<span id="LC161" class="line" lang="python"> <span class="n" style="color: #333;">df_apmpi</span><span class="p">.</span><span class="n" style="color: #333;">to_csv</span><span class="p">(</span><span class="s" style="color: #d14;">'apmpi.csv'</span><span class="p">,</span> <span class="n" style="color: #333;">index</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">False</span><span class="p">)</span></span>
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162
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<pre style="margin: 0;">-<span id="LC162" class="line" lang="python"> <span class="n" style="color: #333;">fig</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">Figure</span><span class="p">()</span></span>
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163
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<pre style="margin: 0;">-<span id="LC163" class="line" lang="python"> <span class="n" style="color: #333;">ax</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">fig</span><span class="p">.</span><span class="n" style="color: #333;">gca</span><span class="p">()</span></span>
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164
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<pre style="margin: 0;">-<span id="LC164" class="line" lang="python"> <span class="n" style="color: #333;">ax</span><span class="p">.</span><span class="n" style="color: #333;">plot</span><span class="p">(</span><span class="n" style="color: #333;">df_rank</span><span class="p">[</span><span class="s" style="color: #d14;">"Rank"</span><span class="p">],</span> <span class="n" style="color: #333;">df_rank</span><span class="p">[</span><span class="s" style="color: #d14;">"Total_Time"</span><span class="p">])</span></span>
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165
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<pre style="margin: 0;">-<span id="LC165" class="line" lang="python"> <span class="n" style="color: #333;">ax</span><span class="p">.</span><span class="n" style="color: #333;">set_xlabel</span><span class="p">(</span><span class="s" style="color: #d14;">"Rank"</span><span class="p">)</span></span>
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166
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<pre style="margin: 0;">-<span id="LC166" class="line" lang="python"> <span class="n" style="color: #333;">ax</span><span class="p">.</span><span class="n" style="color: #333;">set_ylabel</span><span class="p">(</span><span class="s" style="color: #d14;">"MPI Total time(s)"</span><span class="p">)</span></span>
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167
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<pre style="margin: 0;">-<span id="LC167" class="line" lang="python"> <span class="n" style="color: #333;">canvas</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">FigureCanvasPdf</span><span class="p">(</span><span class="n" style="color: #333;">fig</span><span class="p">)</span></span>
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168
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<pre style="margin: 0;">-<span id="LC168" class="line" lang="python"> <span class="n" style="color: #333;">canvas</span><span class="p">.</span><span class="n" style="color: #333;">print_figure</span><span class="p">(</span><span class="n" style="color: #333;">pdf</span><span class="p">)</span></span>
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<pre style="margin: 0;">-<span id="LC169" class="line" lang="python"> <span class="n" style="color: #333;">fig</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">Figure</span><span class="p">()</span></span>
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<pre style="margin: 0;">-<span id="LC170" class="line" lang="python"> <span class="n" style="color: #333;">ax</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">fig</span><span class="p">.</span><span class="n" style="color: #333;">gca</span><span class="p">()</span></span>
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<pre style="margin: 0;">-<span id="LC171" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;">#fig2.plot(df_apmpi.loc[df_apmpi["Rank"] == max_rank])</span></span>
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<pre style="margin: 0;">-<span id="LC172" class="line" lang="python"> <span class="n" style="color: #333;">ax</span><span class="p">.</span><span class="n" style="color: #333;">plot</span><span class="p">(</span><span class="n" style="color: #333;">df_apmpi</span><span class="p">.</span><span class="n" style="color: #333;">loc</span><span class="p">[</span><span class="n" style="color: #333;">df_apmpi</span><span class="p">[</span><span class="s" style="color: #d14;">"Rank"</span><span class="p">]</span> <span class="o" style="font-weight: 600;">==</span> <span class="n" style="color: #333;">max_rank</span><span class="p">][</span><span class="s" style="color: #d14;">"Call"</span><span class="p">],</span> <span class="n" style="color: #333;">df_apmpi</span><span class="p">.</span><span class="n" style="color: #333;">loc</span><span class="p">[</span><span class="n" style="color: #333;">df_apmpi</span><span class="p">[</span><span class="s" style="color: #d14;">"Rank"</span><span class="p">]</span> <span class="o" style="font-weight: 600;">==</span> <span class="n" style="color: #333;">max_rank</span><span class="p">][</span><span class="s" style="color: #d14;">"Total_Time"</span><span class="p">])</span></span>
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<pre style="margin: 0;">-<span id="LC173" class="line" lang="python"> <span class="n" style="color: #333;">ax</span><span class="p">.</span><span class="n" style="color: #333;">set_xlabel</span><span class="p">(</span><span class="s" style="color: #d14;">"MPI OP"</span><span class="p">)</span></span>
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<pre style="margin: 0;">-<span id="LC174" class="line" lang="python"> <span class="n" style="color: #333;">ax</span><span class="p">.</span><span class="n" style="color: #333;">set_ylabel</span><span class="p">(</span><span class="s" style="color: #d14;">"Total time(s)"</span><span class="p">)</span></span>
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<pre style="margin: 0;">-<span id="LC175" class="line" lang="python"> <span class="n" style="color: #333;">canvas</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">FigureCanvasPdf</span><span class="p">(</span><span class="n" style="color: #333;">fig</span><span class="p">)</span></span>
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<pre style="margin: 0;">-<span id="LC176" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;">#canvas.print_figure(pdf)</span></span>
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<pre style="margin: 0;">-<span id="LC177" class="line" lang="python"> <span class="n" style="color: #333;">fig</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">Figure</span><span class="p">()</span></span>
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<pre style="margin: 0;">-<span id="LC178" class="line" lang="python"> <span class="n" style="color: #333;">ax</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">fig</span><span class="p">.</span><span class="n" style="color: #333;">gca</span><span class="p">()</span></span>
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<pre style="margin: 0;">-<span id="LC179" class="line" lang="python"> <span class="n" style="color: #333;">ax</span><span class="p">.</span><span class="n" style="color: #333;">plot</span><span class="p">(</span><span class="n" style="color: #333;">df_apmpi</span><span class="p">.</span><span class="n" style="color: #333;">loc</span><span class="p">[</span><span class="n" style="color: #333;">df_apmpi</span><span class="p">[</span><span class="s" style="color: #d14;">"Rank"</span><span class="p">]</span> <span class="o" style="font-weight: 600;">==</span> <span class="n" style="color: #333;">min_rank</span><span class="p">][</span><span class="s" style="color: #d14;">"Call"</span><span class="p">],</span> <span class="n" style="color: #333;">df_apmpi</span><span class="p">.</span><span class="n" style="color: #333;">loc</span><span class="p">[</span><span class="n" style="color: #333;">df_apmpi</span><span class="p">[</span><span class="s" style="color: #d14;">"Rank"</span><span class="p">]</span> <span class="o" style="font-weight: 600;">==</span> <span class="n" style="color: #333;">min_rank</span><span class="p">][</span><span class="s" style="color: #d14;">"Total_Time"</span><span class="p">])</span></span>
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<pre style="margin: 0;">-<span id="LC180" class="line" lang="python"> <span class="n" style="color: #333;">ax</span><span class="p">.</span><span class="n" style="color: #333;">set_xlabel</span><span class="p">(</span><span class="s" style="color: #d14;">"MPI OP"</span><span class="p">)</span></span>
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<pre style="margin: 0;">-<span id="LC181" class="line" lang="python"> <span class="n" style="color: #333;">ax</span><span class="p">.</span><span class="n" style="color: #333;">set_ylabel</span><span class="p">(</span><span class="s" style="color: #d14;">"Total time(s)"</span><span class="p">)</span></span>
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<pre style="margin: 0;">-<span id="LC182" class="line" lang="python"> <span class="n" style="color: #333;">ax</span><span class="p">.</span><span class="n" style="color: #333;">set_title</span><span class="p">(</span><span class="s" style="color: #d14;">"Min rank MPI times"</span><span class="p">)</span></span>
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<pre style="margin: 0;">-<span id="LC183" class="line" lang="python"> <span class="n" style="color: #333;">canvas</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">FigureCanvasPdf</span><span class="p">(</span><span class="n" style="color: #333;">fig</span><span class="p">)</span></span>
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<pre style="margin: 0;">-<span id="LC184" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;">#canvas.print_figure(pdf)</span></span>
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<pre style="margin: 0;">-<span id="LC185" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;">#fig3.plot(df_apmpi.loc[df_apmpi["Rank"] == min_rank])</span></span>
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<pre style="margin: 0;">-<span id="LC186" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span></span>
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<pre style="margin: 0;">-<span id="LC187" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC188" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC189" class="line" lang="python"><span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">__name__</span> <span class="o" style="font-weight: 600;">==</span> <span class="s" style="color: #d14;">"__main__"</span><span class="p">:</span></span>
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<pre style="margin: 0;">-<span id="LC190" class="line" lang="python"> <span class="n" style="color: #333;">main</span><span class="p">()</span></span></pre>
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