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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>
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<h4>
Commits:
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<strong><a href="https://xgitlab.cels.anl.gov/darshan/darshan/-/commit/25e7e0dacd3df7fa38d0a40c082c87564f07f6d7">25e7e0da</a></strong>
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<span>by Sudheer Chunduri</span>
<i>at 2021-02-18T18:45:02+00:00</i>
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<pre class="commit-message" style="white-space: pre-wrap; margin: 0;">prints MPI stats from max, mean and mean MPI time ranks
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<h4>1 changed file:</h4>
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<a href="#135cb9748f47d5249c5797dffe42b05990474e63">
darshan-util/pydarshan/examples/01_darshan-apmpi.py
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<h4>Changes:</h4>
<li id="135cb9748f47d5249c5797dffe42b05990474e63">
<a href="https://xgitlab.cels.anl.gov/darshan/darshan/-/commit/25e7e0dacd3df7fa38d0a40c082c87564f07f6d7#135cb9748f47d5249c5797dffe42b05990474e63"><strong>darshan-util/pydarshan/examples/01_darshan-apmpi.py</strong></a>
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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</span></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<span class="idiff left right"> for processing APMPI records</span></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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<td class="diff-line-num unfold js-unfold old_line" data-linenumber="9" 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="9" 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">@@ -9,7 +9,6 @@</td>
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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>
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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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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -26,8 +25,19 @@ 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="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">rich</span> <span class="kn" style="font-weight: 600;">import</span> <span class="k" style="font-weight: 600;">print</span> <span class="k" style="font-weight: 600;">as</span> <span class="n" style="color: #333;">rprint</span></span>
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<pre style="margin: 0;">+<span id="LC29" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">rich</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">pretty</span></span>
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<pre style="margin: 0;">+<span id="LC30" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">rich.panel</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">Panel</span></span>
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<pre style="margin: 0;">+<span id="LC31" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">rich</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">inspect</span></span>
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<pre style="margin: 0;">+<span id="LC32" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">rich.color</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">Color</span></span>
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<pre style="margin: 0;">+<span id="LC33" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">rich.console</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">Console</span></span>
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<pre style="margin: 0;">+<span id="LC34" class="line" lang="python"><span class="n" style="color: #333;">console</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">Console</span><span class="p">()</span></span>
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<pre style="margin: 0;"> <span id="LC35" 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="LC38" 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="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;">#inspect(color, methods=True)</span></span>
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<pre style="margin: 0;"> <span id="LC41" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC42" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC43" 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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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -58,15 +68,21 @@ def main():</td>
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<pre style="margin: 0;"> <span id="LC68" 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="LC69" 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="LC70" 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="LC61" class="line" lang="python"> <span class="k" style="font-weight: 600;">print</span><span class="p">(</span><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 class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC71" 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="LC72" 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="LC73" class="line" lang="python"> <span class="p">)</span></span>
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<pre style="margin: 0;"> <span id="LC74" 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="LC75" 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="LC64" class="line" lang="python"> <span class="s" style="color: #d14;">"APMPI Variance in total mpi sync 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_mpisynctime"</span><span class="p">]</span></span>
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<pre style="margin: 0;">+<span id="LC76" 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="LC77" 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="LC78" class="line" lang="python"> <span class="p">)</span></span>
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<pre style="margin: 0;"> <span id="LC79" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC80" 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="LC81" 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="LC69" 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 class="mi" style="color: #099;">1</span><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="LC82" 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="LC83" 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="LC84" 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="LC85" 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="LC86" 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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<pre style="margin: 0;"> <span id="LC87" 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="LC88" 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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<td class="diff-line-num unfold js-unfold old_line" data-linenumber="108" 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>
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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">@@ -108,11 +124,37 @@ def main():</td>
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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;">"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="LC125" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC126" 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="LC111" 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_mpiop</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC127" 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="LC128" 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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129
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<pre style="margin: 0;">+<span id="LC129" 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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130
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<pre style="margin: 0;">+<span id="LC130" 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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131
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<pre style="margin: 0;">+<span id="LC131" 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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132
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<pre style="margin: 0;">+<span id="LC132" 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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133
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<pre style="margin: 0;">+<span id="LC133" 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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134
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<pre style="margin: 0;">+<span id="LC134" 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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135
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<pre style="margin: 0;">+<span id="LC135" 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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136
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<pre style="margin: 0;">+<span id="LC136" 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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137
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<pre style="margin: 0;">+<span id="LC137" 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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138
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<pre style="margin: 0;">+<span id="LC138" 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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139
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<pre style="margin: 0;">+<span id="LC139" 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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140
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<pre style="margin: 0;">+<span id="LC140" 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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141
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<pre style="margin: 0;">+<span id="LC141" 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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142
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<pre style="margin: 0;">+<span id="LC142" 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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143
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<pre style="margin: 0;">+<span id="LC143" class="line" lang="python"> <span class="p">)</span></span>
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144
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<pre style="margin: 0;">+<span id="LC144" class="line" lang="python"></span>
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145
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<pre style="margin: 0;">+<span id="LC145" 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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146
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<pre style="margin: 0;">+<span id="LC146" 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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112
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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;">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="LC113" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;">#print(df_apmpi)</span></span>
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<pre style="margin: 0;">-<span id="LC114" 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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<td class="diff-line-num new new_line" data-linenumber="148" 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">
148
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<pre style="margin: 0;">+<span id="LC148" class="line" lang="python"> <span class="n" style="color: #333;">Panel</span><span class="p">.</span><span class="n" style="color: #333;">fit</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="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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<td class="diff-line-num new new_line" data-linenumber="149" 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">
149
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<pre style="margin: 0;">+<span id="LC149" class="line" lang="python"> <span class="n" style="color: #333;">console</span><span class="p">.</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;">Panel</span><span class="p">.</span><span class="n" style="color: #333;">fit</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="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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<td class="diff-line-num new new_line" data-linenumber="151" 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">
151
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<pre style="margin: 0;">+<span id="LC151" 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;">Panel</span><span class="p">.</span><span class="n" style="color: #333;">fit</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="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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<td class="diff-line-num new new_line" data-linenumber="153" 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">
153
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<pre style="margin: 0;">+<span id="LC153" 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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<pre style="margin: 0;">+<span id="LC154" 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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115
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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;">return</span></span>
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116
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157
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<pre style="margin: 0;"> <span id="LC157" class="line" lang="python"></span>
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117
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<pre style="margin: 0;">-<span id="LC117" 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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158
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<pre style="margin: 0;">+<span id="LC158" class="line" lang="python"></span>
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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;">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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118
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160
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<pre style="margin: 0;"> <span id="LC160" class="line" lang="python"> <span class="n" style="color: #333;">main</span><span class="p">()</span></span></pre>
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