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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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<li>
<strong><a href="https://xgitlab.cels.anl.gov/darshan/darshan/-/commit/e279af8eef51ff9addd2a7359c07d3c3da952a59">e279af8e</a></strong>
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<span>by Sudheer Chunduri</span>
<i>at 2021-02-17T23:36:39+00:00</i>
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<pre class="commit-message" style="white-space: pre-wrap; margin: 0;">APMPI module analysis python script - optimizations
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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/e279af8eef51ff9addd2a7359c07d3c3da952a59#135cb9748f47d5249c5797dffe42b05990474e63"><strong>darshan-util/pydarshan/examples/01_darshan-apmpi.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">@@ -7,26 +7,6 @@</td>
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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>
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<pre style="margin: 0;">-<span id="LC11" class="line" lang="python"><span class="s" style="color: #d14;">"""</span></span>
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<pre style="margin: 0;">-<span id="LC12" class="line" lang="python"><span class="s" style="color: #d14;">get_ipython().run_line_magic('env', 'LD_LIBRARY_PATH=/projects/Performance/chunduri/Software/Temp/build/darshan-util/install/lib/')</span></span>
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<pre style="margin: 0;">-<span id="LC13" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC14" class="line" lang="python"><span class="s" style="color: #d14;">get_ipython().run_line_magic('env', 'PE_PKGCONFIG_LIBS=darshan-runtime')</span></span>
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<pre style="margin: 0;">-<span id="LC15" class="line" lang="python"><span class="s" style="color: #d14;">get_ipython().run_line_magic('env', 'PKG_CONFIG_PATH=/projects/Performance/chunduri/Software/Temp/build/darshan-runtime/lib/pkgconfig')</span></span>
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<pre style="margin: 0;">-<span id="LC16" class="line" lang="python"><span class="s" style="color: #d14;">get_ipython().run_line_magic('env', 'PATH=/projects/Performance/chunduri/Software/Temp/build/darshan-utils/bin:/opt/anaconda3x/bin:/opt/anaconda3x/condabin:/projects/Performance/chunduri/Work_backup_June252017/software/install/autotools/bin:/bin:/sbin:/opt/anaconda3x/bin:/usr/bin/usr/sbin:/usr/local/sbin:/usr/sbin:/dbhome/db2cat/sqllib/bin:/dbhome/db2cat/sqllib/adm:/dbhome/db2cat/sqllib/misc:/dbhome/db2cat/sqllib/gskit/bin:/opt/ibutils/bin:/home/chunduri/bin:/projects/Performance/chunduri/Software/Temp/build/darshan-util/install/bin')</span></span>
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<pre style="margin: 0;">-<span id="LC17" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC18" class="line" lang="python"><span class="s" style="color: #d14;">get_ipython().run_line_magic('env', 'darshan_prefix=/projects/Performance/chunduri/Software/Temp/build/darshan-runtime/install')</span></span>
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<pre style="margin: 0;">-<span id="LC19" class="line" lang="python"><span class="s" style="color: #d14;">get_ipython().run_line_magic('env', 'darshan_share=/projects/Performance/chunduri/Software/Temp/build/darshan-runtime/install/share')</span></span>
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<pre style="margin: 0;">-<span id="LC20" class="line" lang="python"><span class="s" style="color: #d14;">get_ipython().run_line_magic('env', 'darshan_libdir= -L${darshan_prefix}/lib')</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="s" style="color: #d14;">get_ipython().system('echo $LD_LIBRARY_PATH')</span></span>
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<pre style="margin: 0;">-<span id="LC23" class="line" lang="python"><span class="s" style="color: #d14;">get_ipython().system('echo $PATH')</span></span>
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<pre style="margin: 0;">-<span id="LC24" class="line" lang="python"><span class="s" style="color: #d14;">get_ipython().system('echo $PKG_CONFIG_PATH')</span></span>
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<pre style="margin: 0;">-<span id="LC25" class="line" lang="python"><span class="s" style="color: #d14;">"""</span></span>
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<pre style="margin: 0;">-<span id="LC26" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC27" class="line" lang="python"><span class="c1" style="color: #998; font-style: italic;">#get_ipython().system("pwd")</span></span>
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<pre style="margin: 0;">-<span id="LC28" class="line" lang="python"><span class="c1" style="color: #998; font-style: italic;">#get_ipython().run_line_magic("cd", "..")</span></span>
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<pre style="margin: 0;">-<span id="LC29" class="line" lang="python"><span class="c1" style="color: #998; font-style: italic;">#get_ipython().system("pwd")</span></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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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -41,7 +21,6 @@ import logging</td>
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<pre style="margin: 0;"> <span id="LC21" 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="LC22" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC23" 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="LC44" class="line" lang="python"><span class="c1" style="color: #998; font-style: italic;"># logger</span></span>
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<pre style="margin: 0;"> <span id="LC24" 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="LC25" 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="LC26" 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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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -71,9 +50,8 @@ def main():</td>
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<pre style="margin: 0;"> <span id="LC50" 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="LC51" 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="LC52" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span></span>
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<pre style="margin: 0;">-<span id="LC74" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC53" 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="LC76" class="line" lang="python"><span class="idiff left"> </span><span class="c1" style="color: #998; font-style: italic;"><span class="idiff right"># report.data.keys()</span></span></span>
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<pre style="margin: 0;">+<span id="LC54" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC55" 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="LC56" 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="LC57" 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">@@ -87,6 +65,7 @@ def main():</td>
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<pre style="margin: 0;"> <span id="LC65" class="line" lang="python"> <span class="p">)</span></span>
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<pre style="margin: 0;"> <span id="LC66" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC67" 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="LC68" 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="LC70" 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="LC71" 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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<td class="line_content match " style="padding-left: 0.5em; padding-right: 0.5em; color: rgba(0,0,0,0.3);" bgcolor="#fafafa">@@ -128,28 +107,12 @@ def main():</td>
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<pre style="margin: 0;"> <span id="LC107" 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="LC108" 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="LC109" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC131" class="line" lang="python"> <span class="n" style="color: #333;">df_mpiop</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;">mpiopstat</span><span class="p">],</span> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">mpiopstat</span><span class="p">.</span><span class="n" style="color: #333;">keys</span><span class="p">())</span></span>
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<pre style="margin: 0;">-<span id="LC132" 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;">concat</span><span class="p">([</span><span class="n" style="color: #333;">df_rank</span><span class="p">,</span> <span class="n" style="color: #333;">df_mpiop</span><span class="p">],</span> <span class="n" style="color: #333;">axis</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">0</span><span class="p">).</span><span class="n" style="color: #333;">reset_index</span><span class="p">(</span><span class="n" style="color: #333;">drop</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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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;">df_rank</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;">"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="bp" style="color: #999;">False</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;">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;">concat</span><span class="p">([</span><span class="n" style="color: #333;">df_apmpi</span><span class="p">,</span> <span class="n" style="color: #333;">df_rank</span><span class="p">],</span> <span class="n" style="color: #333;">axis</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">0</span><span class="p">).</span><span class="n" style="color: #333;">reset_index</span><span class="p">(</span><span class="n" style="color: #333;">drop</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="LC135" 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>
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<pre style="margin: 0;">-<span id="LC136" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC110" 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="LC112" 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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<pre style="margin: 0;"> <span id="LC115" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span></span>
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116
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<pre style="margin: 0;"> <span id="LC116" 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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140
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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;">main</span><span class="p">()</span></span></pre>
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<pre style="margin: 0;">-<span id="LC141" class="line" lang="python"><span class="c1" style="color: #998; font-style: italic;"># print(time.time(), time.clock())</span></span>
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<pre style="margin: 0;">-<span id="LC142" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC143" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC144" class="line" lang="python"><span class="c1" style="color: #998; font-style: italic;"># A few of the internal data structures explained:</span></span>
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<pre style="margin: 0;">-<span id="LC145" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC146" class="line" lang="python"><span class="c1" style="color: #998; font-style: italic;"># In[ ]:</span></span>
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<pre style="margin: 0;">-<span id="LC147" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC148" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC149" class="line" lang="python"><span class="c1" style="color: #998; font-style: italic;"># report.metadata # dictionary with raw metadata from darshan log</span></span>
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<pre style="margin: 0;">-<span id="LC150" class="line" lang="python"><span class="c1" style="color: #998; font-style: italic;"># report.modules # dictionary with raw module info from darshan log (need: technical, module idx)</span></span>
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<pre style="margin: 0;">-<span id="LC151" class="line" lang="python"><span class="c1" style="color: #998; font-style: italic;"># report.name_records # dictionary for resovling name records: id -> path/name</span></span>
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152
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<pre style="margin: 0;">-<span id="LC152" class="line" lang="python"><span class="c1" style="color: #998; font-style: italic;"># report.records # per module "dataframes"/dictionaries holding loaded records</span></span>
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<pre style="margin: 0;">-<span id="LC153" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC154" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC155" class="line" lang="python"><span class="c1" style="color: #998; font-style: italic;"># The darshan report holds a variety of namespaces for report related data. All of them are also referenced in `report.data` at the moment, but reliance on this internal organization of the report object is discouraged once the API stabilized. Currently, `report.data` references the following information:</span></span></pre>
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