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<h3>
Sudheer Chunduri pushed to branch autoperf-mod-update
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/2ea09bf1dcf5f7ab6a0655daf9edca77b0033e29">2ea09bf1</a></strong>
<div>
<span>by Sudheer Chunduri</span>
<i>at 2021-02-19T21:05:07+00:00</i>
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<pre class="commit-message" style="white-space: pre-wrap; margin: 0;">remove the extraneous statement
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<strong><a href="https://xgitlab.cels.anl.gov/darshan/darshan/-/commit/f665e5e53fb6b2d5e5e8447d814622bfcaf9af4b">f665e5e5</a></strong>
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<span>by Sudheer Chunduri</span>
<i>at 2021-02-19T21:05:51+00:00</i>
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<pre class="commit-message" style="white-space: pre-wrap; margin: 0;">apmpi analysis script
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<h4>3 changed files:</h4>
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<li class="file-stats">
<a href="#154f19a6a63b1f4036b2592b4b34ca11801250d2">
darshan-util/pydarshan/Makefile
</a>
</li>
<li class="file-stats">
<a href="#3fce2a69bf7b3618c249165025ee934bfbde36e1">
darshan-util/pydarshan/darshan/discover_darshan.py
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<li class="file-stats">
<a href="#f1374717942dbc3c492f20af9807bed81ca3d357">
darshan-util/pydarshan/examples/01_darshan-apmpi.py
→
darshan-util/pydarshan/examples/apmpi_analysis.py
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<h4>Changes:</h4>
<li id="154f19a6a63b1f4036b2592b4b34ca11801250d2">
<a href="https://xgitlab.cels.anl.gov/darshan/darshan/-/compare/25e7e0dacd3df7fa38d0a40c082c87564f07f6d7...f665e5e53fb6b2d5e5e8447d814622bfcaf9af4b#154f19a6a63b1f4036b2592b4b34ca11801250d2"><strong>darshan-util/pydarshan/Makefile</strong></a>
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<td class="diff-line-num unfold js-unfold new_line" data-linenumber="99" 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">@@ -99,4 +99,4 @@ dist: clean # builds source and wheel package</td>
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<pre style="margin: 0;"> <span id="LC99" class="line" lang="make"></span>
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<td class="diff-line-num old_line" data-linenumber="100" 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">
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<pre style="margin: 0;"> <span id="LC100" class="line" lang="make"></span>
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<td class="diff-line-num old_line" data-linenumber="101" 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">
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<td class="diff-line-num new_line" data-linenumber="101" 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">
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<pre style="margin: 0;"> <span id="LC101" class="line" lang="make"><span class="nl">install</span><span class="o" style="font-weight: 600;">:</span> <span class="nf" style="color: #900; font-weight: 600;">clean </span><span class="c" style="color: #998; font-style: italic;">#</span><span class="nf" style="color: #900; font-weight: 600;"> install the package to the active Python's site-packages</span></span>
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<td class="diff-line-num old old_line" data-linenumber="102" 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">
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<pre style="margin: 0;">-<span id="LC102" class="line" lang="make"> python setup.py <span class="nb" style="color: #0086b3;">install</span></span></pre>
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<td class="diff-line-num new old_line" data-linenumber="103" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
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<td class="diff-line-num new new_line" data-linenumber="102" style="width: 35px; color: rgba(0,0,0,0.3); border-right-width: 1px; border-right-color: #c7f0d2; border-right-style: solid; padding: 0 5px;" align="right" bgcolor="#ddfbe6">
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<pre style="margin: 0;">+<span id="LC102" class="line" lang="make"> python setup.py <span class="nb" style="color: #0086b3;">install</span><span class="idiff left right"> </span></span></pre>
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<li id="3fce2a69bf7b3618c249165025ee934bfbde36e1">
<a href="https://xgitlab.cels.anl.gov/darshan/darshan/-/compare/25e7e0dacd3df7fa38d0a40c082c87564f07f6d7...f665e5e53fb6b2d5e5e8447d814622bfcaf9af4b#3fce2a69bf7b3618c249165025ee934bfbde36e1"><strong>darshan-util/pydarshan/darshan/discover_darshan.py</strong></a>
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<td class="diff-line-num unfold js-unfold old_line" data-linenumber="146" 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="diff-line-num unfold js-unfold new_line" data-linenumber="146" 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">@@ -146,7 +146,6 @@ def find_utils(ffi, libdutil):</td>
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<td class="diff-line-num old_line" data-linenumber="146" 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">
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<pre style="margin: 0;"> <span id="LC146" class="line" lang="python"><span class="s" style="color: #d14;"> libdutil: reference to libdutil to populate</span></span>
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<pre style="margin: 0;"> <span id="LC147" class="line" lang="python"></span>
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<td class="diff-line-num old_line" data-linenumber="148" 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">
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<pre style="margin: 0;"> <span id="LC148" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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<td class="diff-line-num old old_line" data-linenumber="149" 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">
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<pre style="margin: 0;">-<span id="LC149" class="line" lang="python"> <span class="n" style="color: #333;">libdutil</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">ffi</span><span class="p">.</span><span class="n" style="color: #333;">dlopen</span><span class="p">(</span><span class="s" style="color: #d14;">"/projects/Performance/chunduri/Software/Temp/build/darshan-util/install/lib/libdarshan-util.so"</span><span class="p">)</span></span>
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<pre style="margin: 0;"> <span id="LC149" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">libdutil</span> <span class="ow" style="font-weight: 600;">is</span> <span class="bp" style="color: #999;">None</span><span class="p">:</span></span>
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<td class="diff-line-num old_line" data-linenumber="151" 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">
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<pre style="margin: 0;"> <span id="LC150" class="line" lang="python"> <span class="k" style="font-weight: 600;">try</span><span class="p">:</span></span>
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<td class="diff-line-num old_line" data-linenumber="152" 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">
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<pre style="margin: 0;"> <span id="LC151" class="line" lang="python"> <span class="n" style="color: #333;">libdutil</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">ffi</span><span class="p">.</span><span class="n" style="color: #333;">dlopen</span><span class="p">(</span><span class="s" style="color: #d14;">"libdarshan-util.so"</span><span class="p">)</span></span>
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<li id="f1374717942dbc3c492f20af9807bed81ca3d357">
<a href="https://xgitlab.cels.anl.gov/darshan/darshan/-/compare/25e7e0dacd3df7fa38d0a40c082c87564f07f6d7...f665e5e53fb6b2d5e5e8447d814622bfcaf9af4b#f1374717942dbc3c492f20af9807bed81ca3d357"><strong>darshan-util/pydarshan/examples/01_darshan-apmpi.py</strong>
→
<strong>darshan-util/pydarshan/examples/apmpi_analysis.py</strong>
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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">@@ -13,7 +13,7 @@ import cffi</td>
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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="kn" style="font-weight: 600;">import</span> <span class="nn" style="color: #555;">pprint</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;"><span class="idiff left right">#</span>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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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -25,6 +25,7 @@ import darshan.backend.cffi_backend as backend</td>
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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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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -32,9 +33,12 @@ from rich import inspect</td>
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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="LC36" class="line" lang="python"><span class="n" style="color: #333;">pp</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">pprint</span><span class="p">.</span><span class="n" style="color: #333;">PrettyPrinter</span><span class="p">()</span></span>
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<pre style="margin: 0;">-<span id="LC37" class="line" lang="python"><span class="n" style="color: #333;">pretty</span><span class="p">.</span><span class="n" style="color: #333;">install</span><span class="p">()</span></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;"><span class="idiff left right">#</span>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;"><span class="idiff left right">#</span>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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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -56,14 +60,16 @@ def main():</td>
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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="LC59" class="line" lang="python"></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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<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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<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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<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="LC64" class="line" lang="python"></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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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -145,14 +151,38 @@ def main():</td>
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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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<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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<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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<pre style="margin: 0;">-<span id="LC148" class="line" lang="python"> <span class="n" style="color: #333;"><span class="idiff left">Panel</span></span><span class="p"><span class="idiff">.</span></span><span class="n" style="color: #333;"><span class="idiff">fit</span></span><span class="p"><span class="idiff">(</span></span><span class="s" style="color: #d14;"><span class="idiff right">"[bold green] MPI stats for rank with maximum MPI time"</span></span><span class="p">,</span> <span class="n" style="color: #333;">border_style</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">"blue"</span><span class="p">)</span></span>
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149
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<pre style="margin: 0;">-<span id="LC149" class="line" lang="python"> <span class="n" style="color: #333;"><span class="idiff left">console</span></span><span class="p"><span class="idiff right">.</span></span><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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150
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<pre style="margin: 0;">-<span id="LC150" class="line" lang="python"> <span class="n" style="color: #333;"><span class="idiff left">Panel</span></span><span class="p"><span class="idiff">.</span></span><span class="n" style="color: #333;"><span class="idiff">fit</span></span><span class="p"><span class="idiff">(</span></span><span class="s" style="color: #d14;"><span class="idiff">"[bold green] MPI stats for rank with minimum MPI time"</span></span><span class="p"><span class="idiff right">,</span></span> <span class="n" style="color: #333;">border_style</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">"blue"</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;"><span class="idiff left">print</span></span><span class="p"><span class="idiff">(</span></span><span class="s" style="color: #d14;"><span class="idiff">"[bold green] MPI stats for rank with maximum MPI time"</span></span><span class="p"><span class="idiff">)</span></span><span class="c1" style="color: #998; font-style: italic;"><span class="idiff right">#</span>, 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;"><span class="idiff left">print</span></span><span class="p"><span class="idiff">(</span></span><span class="s" style="color: #d14;"><span class="idiff">"[bold green] MPI stats for rank with minimum MPI time"</span></span><span class="p"><span class="idiff">)</span></span><span class="c1" style="color: #998; font-style: italic;"><span class="idiff right">#</span> border_style="blue")</span></span>
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151
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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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152
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<pre style="margin: 0;">-<span id="LC152" class="line" lang="python"> <span class="n" style="color: #333;"><span class="idiff left">Panel</span></span><span class="p"><span class="idiff">.</span></span><span class="n" style="color: #333;"><span class="idiff">fit</span></span><span class="p"><span class="idiff">(</span></span><span class="s" style="color: #d14;"><span class="idiff right">"[bold green] MPI stats for rank with mean MPI time"</span></span><span class="p">,</span> <span class="n" style="color: #333;">border_style</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">"blue"</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;"><span class="idiff left">print</span></span><span class="p"><span class="idiff">(</span></span><span class="s" style="color: #d14;"><span class="idiff">"[bold green] MPI stats for rank with mean MPI time"</span></span><span class="p"><span class="idiff">)</span></span><span class="c1" style="color: #998; font-style: italic;"><span class="idiff right">#</span>, border_style="blue")</span></span>
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153
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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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154
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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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155
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<pre style="margin: 0;">-<span id="LC155" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># df_apmpi.to_csv('apmpi.csv', index=False)</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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<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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169
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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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170
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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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171
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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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172
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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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173
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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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174
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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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175
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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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176
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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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177
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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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178
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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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179
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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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180
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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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181
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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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182
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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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183
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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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184
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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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186
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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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187
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<pre style="margin: 0;"> <span id="LC187" class="line" lang="python"></span>
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188
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<pre style="margin: 0;"> <span id="LC188" class="line" lang="python"></span>
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