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<h3>
Nilesh Patra pushed to branch master
at <a href="https://salsa.debian.org/med-team/hdmf">Debian Med / hdmf</a>
</h3>
<h4>
Commits:
</h4>
<ul>
<li>
<strong><a href="https://salsa.debian.org/med-team/hdmf/-/commit/854d86badeaf7fd07fe860ac7d767340e88a30c3">854d86ba</a></strong>
<div>
<span>by Nilesh Patra</span>
<i>at 2021-08-05T14:14:28+00:00</i>
</div>
<pre class="commit-message" style="white-space: pre-wrap; margin: 0;">New upstream version 3.1.1</pre>
</li>
<li>
<strong><a href="https://salsa.debian.org/med-team/hdmf/-/commit/7fe65d19b5975b63d231d96986d272d5357f08bf">7fe65d19</a></strong>
<div>
<span>by Nilesh Patra</span>
<i>at 2021-08-05T14:14:29+00:00</i>
</div>
<pre class="commit-message" style="white-space: pre-wrap; margin: 0;">Update manpage
</pre>
</li>
<li>
<strong><a href="https://salsa.debian.org/med-team/hdmf/-/commit/11cc62d7b77a1ebd5519b708637ca24d6ab8d874">11cc62d7</a></strong>
<div>
<span>by Nilesh Patra</span>
<i>at 2021-08-05T14:14:30+00:00</i>
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<pre class="commit-message" style="white-space: pre-wrap; margin: 0;">Interim changelog entry
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<h4>19 changed files:</h4>
<ul>
<li class="file-stats">
<a href="#7d26833a43d8865f6d9679068f6f9ee7d6e13dcf">
PKG-INFO
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<li class="file-stats">
<a href="#9c96da0e9f91d7d8937b69b524702c106258f0d1">
debian/changelog
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<li class="file-stats">
<a href="#9a3190c28834a822fc163550e201dc999dd83967">
debian/validate_hdmf_spec.1
</a>
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<li class="file-stats">
<a href="#f4fb69164b97e1b6f17984369c9c382573a3f919">
requirements-dev.txt
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<li class="file-stats">
<a href="#19359a61ae2446b51b549167b014da2fcf265768">
requirements.txt
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<li class="file-stats">
<a href="#8c91c0296909b5ea3c496fde69e9dc44a6c6ae5f">
setup.cfg
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<li class="file-stats">
<a href="#8e2edce0d507e1297474f25c00cae94258db38d8">
setup.py
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<li class="file-stats">
<a href="#9b0869c9ecbb8a6f13e0602b6bff34190dec2598">
src/hdmf.egg-info/PKG-INFO
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<li class="file-stats">
<a href="#e2d31c65f411ca0653fc535010d4110b35856de5">
src/hdmf.egg-info/SOURCES.txt
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<li class="file-stats">
<a href="#ba66a4d062f6b50b4f5b0c916099b2f2e9ba2d43">
src/hdmf/_version.py
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<li class="file-stats">
<a href="#8cce33fa06bfb12272866fe84bc1bef519c41152">
src/hdmf/common/alignedtable.py
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<li class="file-stats">
<a href="#3751d6051520b9f91560c02327efd69cecd10a46">
<span class="new-file">
+
src/hdmf/common/hierarchicaltable.py
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<li class="file-stats">
<a href="#30612f23307a5d9e465d94c07c690ec40afdc20d">
src/hdmf/common/table.py
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<li class="file-stats">
<a href="#2a76da16cee01b911e7b8f80de692659b7dd9a4d">
src/hdmf/container.py
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<li class="file-stats">
<a href="#8c1ec63171f0d8cb8ec37f8509aa9a305c4b7a66">
src/hdmf/data_utils.py
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<li class="file-stats">
<a href="#b1da35ef4ea4f113395eb2286261ed082f8addc0">
src/hdmf/utils.py
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<li class="file-stats">
<a href="#3bc9b102df37f0750e782b9e65e16aefcc7e4f10">
tests/unit/common/test_alignedtable.py
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<li class="file-stats">
<a href="#9d249fefbfd4491bea1356d44159d934c14702b7">
<span class="new-file">
+
tests/unit/common/test_linkedtables.py
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<li class="file-stats">
<a href="#f6b63332936c0b2c3dcad28936b9b836358012b9">
tests/unit/common/test_table.py
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</ul>
<h4>Changes:</h4>
<li id="7d26833a43d8865f6d9679068f6f9ee7d6e13dcf">
<a href="https://salsa.debian.org/med-team/hdmf/-/compare/ddbbea37b32c87d9b9ad4bb70566aa2f108798ea...11cc62d7b77a1ebd5519b708637ca24d6ab8d874#7d26833a43d8865f6d9679068f6f9ee7d6e13dcf"><strong>PKG-INFO</strong></a>
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1
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<pre style="margin: 0;"> <span id="LC1" class="line" lang="plaintext">Metadata-Version: 2.1</span>
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<td class="line_content" style="padding-left: 0.5em; padding-right: 0.5em;">
<pre style="margin: 0;"> <span id="LC2" class="line" lang="plaintext">Name: hdmf</span>
</pre>
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<td class="old_line diff-line-num old" data-linenumber="3" 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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<td class="new_line diff-line-num old" data-linenumber="3" 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="LC3" class="line" lang="plaintext">Version: 3.<span class="idiff left right">0</span>.1</span>
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<td class="old_line diff-line-num new" data-linenumber="4" 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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3
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<td class="line_content new" style="padding-left: 0.5em; padding-right: 0.5em;" bgcolor="#ecfdf0">
<pre style="margin: 0;">+<span id="LC3" class="line" lang="plaintext">Version: 3.<span class="idiff left right">1</span>.1</span>
</pre>
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<td class="old_line diff-line-num" data-linenumber="4" 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="line_content" style="padding-left: 0.5em; padding-right: 0.5em;">
<pre style="margin: 0;"> <span id="LC4" class="line" lang="plaintext">Summary: A package for standardizing hierarchical object data</span>
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<td class="old_line diff-line-num" data-linenumber="5" 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="line_content" style="padding-left: 0.5em; padding-right: 0.5em;">
<pre style="margin: 0;"> <span id="LC5" class="line" lang="plaintext">Home-page: https://github.com/hdmf-dev/hdmf</span>
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<pre style="margin: 0;"> <span id="LC6" class="line" lang="plaintext">Author: Andrew Tritt</span>
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<td class="diff-line-num unfold js-unfold old_line" data-linenumber="20" 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="20" 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">@@ -20,6 +20,7 @@ Classifier: Operating System :: Microsoft :: Windows</td>
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<pre style="margin: 0;"> <span id="LC20" class="line" lang="plaintext">Classifier: Operating System :: MacOS</span>
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<td class="old_line diff-line-num" data-linenumber="21" 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="LC21" class="line" lang="plaintext">Classifier: Operating System :: Unix</span>
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<pre style="margin: 0;"> <span id="LC22" class="line" lang="plaintext">Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.</span>
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<td class="old_line diff-line-num new" data-linenumber="23" 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="LC23" class="line" lang="plaintext">Requires-Python: >=3.7</span>
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<pre style="margin: 0;"> <span id="LC24" class="line" lang="plaintext">Description-Content-Type: text/x-rst; charset=UTF-8</span>
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<pre style="margin: 0;"> <span id="LC25" class="line" lang="plaintext"></span>
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<pre style="margin: 0;"> <span id="LC26" class="line" lang="plaintext">========================================</span>
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<a href="https://salsa.debian.org/med-team/hdmf/-/compare/ddbbea37b32c87d9b9ad4bb70566aa2f108798ea...11cc62d7b77a1ebd5519b708637ca24d6ab8d874#9c96da0e9f91d7d8937b69b524702c106258f0d1"><strong>debian/changelog</strong></a>
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<pre style="margin: 0;">-<span id="LC1" class="line" lang="plaintext">hdmf (3.<span class="idiff left right">0</span>.1-1) UNRELEASED; urgency=medium</span>
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<pre style="margin: 0;">+<span id="LC1" class="line" lang="plaintext">hdmf (3.<span class="idiff left right">1</span>.1-1) UNRELEASED; urgency=medium</span>
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<pre style="margin: 0;"> <span id="LC2" class="line" lang="plaintext"></span>
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<pre style="margin: 0;"> <span id="LC3" class="line" lang="plaintext"> * Team Upload.</span>
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<pre style="margin: 0;"> <span id="LC4" class="line" lang="plaintext"> * Fix copyright</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">@@ -6,8 +6,9 @@ hdmf (3.0.1-1) UNRELEASED; urgency=medium</td>
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<pre style="margin: 0;"> <span id="LC6" class="line" lang="plaintext"> * Update manpage</span>
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<pre style="margin: 0;"> <span id="LC7" class="line" lang="plaintext"> * d/tests: Add non-superficial autopkgtests</span>
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<pre style="margin: 0;"> <span id="LC8" class="line" lang="plaintext"> use same build time tests in autopkgtests</span>
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<pre style="margin: 0;">+<span id="LC9" class="line" lang="plaintext"> * New upstream version 3.1.1</span>
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<pre style="margin: 0;"> <span id="LC10" class="line" lang="plaintext"></span>
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<pre style="margin: 0;">-<span id="LC10" class="line" lang="plaintext"> -- Nilesh Patra <nilesh@debian.org> <span class="idiff left right">Fri, 09 Jul 2021 22:29:50</span> +0530</span>
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<pre style="margin: 0;">+<span id="LC11" class="line" lang="plaintext"> -- Nilesh Patra <nilesh@debian.org> <span class="idiff left right">Thu, 05 Aug 2021 19:37:28</span> +0530</span>
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<pre style="margin: 0;"> <span id="LC12" class="line" lang="plaintext"></span>
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<pre style="margin: 0;"> <span id="LC13" class="line" lang="plaintext">hdmf (2.3.0-1) unstable; urgency=medium</span>
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<pre style="margin: 0;"> <span id="LC14" class="line" lang="plaintext"></span>
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<a href="https://salsa.debian.org/med-team/hdmf/-/compare/ddbbea37b32c87d9b9ad4bb70566aa2f108798ea...11cc62d7b77a1ebd5519b708637ca24d6ab8d874#9a3190c28834a822fc163550e201dc999dd83967"><strong>debian/validate_hdmf_spec.1</strong></a>
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<pre style="margin: 0;"> <span id="LC1" class="line" lang="plaintext">.\" DO NOT MODIFY THIS FILE! It was generated by help2man 1.47.16.</span>
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<pre style="margin: 0;">-<span id="LC2" class="line" lang="plaintext">.TH VALIDATE_HDMF_SPEC "1" "<span class="idiff left">July</span> 2021" "validate_hdmf_spec 3.<span class="idiff right">0</span>.1" "User Commands"</span>
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<pre style="margin: 0;">+<span id="LC2" class="line" lang="plaintext">.TH VALIDATE_HDMF_SPEC "1" "<span class="idiff left">August</span> 2021" "validate_hdmf_spec 3.<span class="idiff right">1</span>.1" "User Commands"</span>
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<pre style="margin: 0;"> <span id="LC3" class="line" lang="plaintext">.SH NAME</span>
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<pre style="margin: 0;"> <span id="LC4" class="line" lang="plaintext">validate_hdmf_spec \- Hierarchical Data Modeling Framework</span>
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<pre style="margin: 0;"> <span id="LC5" class="line" lang="plaintext">.SH DESCRIPTION</span>
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<a href="https://salsa.debian.org/med-team/hdmf/-/compare/ddbbea37b32c87d9b9ad4bb70566aa2f108798ea...11cc62d7b77a1ebd5519b708637ca24d6ab8d874#f4fb69164b97e1b6f17984369c9c382573a3f919"><strong>requirements-dev.txt</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">@@ -6,5 +6,5 @@ flake8==3.9.2</td>
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<pre style="margin: 0;"> <span id="LC6" class="line" lang="plaintext">flake8-debugger==4.0.0</span>
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<pre style="margin: 0;"> <span id="LC7" class="line" lang="plaintext">flake8-print==4.0.0</span>
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<pre style="margin: 0;"> <span id="LC8" class="line" lang="plaintext">importlib-metadata==4.6.1</span>
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<pre style="margin: 0;">-<span id="LC9" class="line" lang="plaintext">python-dateutil==2.8.<span class="idiff left right">1</span></span>
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<pre style="margin: 0;">-<span id="LC10" class="line" lang="plaintext">tox==3.2<span class="idiff left right">3.1</span></span></pre>
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<pre style="margin: 0;">+<span id="LC9" class="line" lang="plaintext">python-dateutil==2.8.<span class="idiff left right">2</span></span>
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<pre style="margin: 0;">+<span id="LC10" class="line" lang="plaintext">tox==3.2<span class="idiff left right">4.0</span></span></pre>
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<a href="https://salsa.debian.org/med-team/hdmf/-/compare/ddbbea37b32c87d9b9ad4bb70566aa2f108798ea...11cc62d7b77a1ebd5519b708637ca24d6ab8d874#19359a61ae2446b51b549167b014da2fcf265768"><strong>requirements.txt</strong></a>
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<pre style="margin: 0;"> <span id="LC1" class="line" lang="plaintext"># pinned dependencies to reproduce an entire development environment to use HDMF</span>
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2
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<pre style="margin: 0;"> <span id="LC2" class="line" lang="plaintext"><a href="https://pypi.python.org/pypi/h5py" rel="nofollow noreferrer noopener" target="_blank">h5py</a>==3.3.0</span>
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<pre style="margin: 0;">-<span id="LC3" class="line" lang="plaintext"><a href="https://pypi.python.org/pypi/numpy" rel="nofollow noreferrer noopener" target="_blank">numpy</a>==1.21.<span class="idiff left right">0</span></span>
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<pre style="margin: 0;">+<span id="LC3" class="line" lang="plaintext"><a href="https://pypi.python.org/pypi/numpy" rel="nofollow noreferrer noopener" target="_blank">numpy</a>==1.21.<span class="idiff left right">1</span></span>
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4
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4
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<pre style="margin: 0;"> <span id="LC4" class="line" lang="plaintext"><a href="https://pypi.python.org/pypi/scipy" rel="nofollow noreferrer noopener" target="_blank">scipy</a>==1.7.0</span>
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<pre style="margin: 0;">-<span id="LC5" class="line" lang="plaintext"><a href="https://pypi.python.org/pypi/pandas" rel="nofollow noreferrer noopener" target="_blank">pandas</a>==1.3.<span class="idiff left right">0</span></span>
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<pre style="margin: 0;">+<span id="LC5" class="line" lang="plaintext"><a href="https://pypi.python.org/pypi/pandas" rel="nofollow noreferrer noopener" target="_blank">pandas</a>==1.3.<span class="idiff left right">1</span></span>
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<pre style="margin: 0;"> <span id="LC6" class="line" lang="plaintext"><a href="https://pypi.python.org/pypi/ruamel.yaml" rel="nofollow noreferrer noopener" target="_blank">ruamel.yaml</a>==0.17.10</span>
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<pre style="margin: 0;"> <span id="LC7" class="line" lang="plaintext"><a href="https://pypi.python.org/pypi/jsonschema" rel="nofollow noreferrer noopener" target="_blank">jsonschema</a>==3.2.0</span>
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<pre style="margin: 0;">-<span id="LC8" class="line" lang="plaintext"><a href="https://pypi.python.org/pypi/setuptools" rel="nofollow noreferrer noopener" target="_blank">setuptools</a>==57.<span class="idiff left right">1</span>.0</span></pre>
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<pre style="margin: 0;">+<span id="LC8" class="line" lang="plaintext"><a href="https://pypi.python.org/pypi/setuptools" rel="nofollow noreferrer noopener" target="_blank">setuptools</a>==57.<span class="idiff left right">4</span>.0</span></pre>
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<a href="https://salsa.debian.org/med-team/hdmf/-/compare/ddbbea37b32c87d9b9ad4bb70566aa2f108798ea...11cc62d7b77a1ebd5519b708637ca24d6ab8d874#8c91c0296909b5ea3c496fde69e9dc44a6c6ae5f"><strong>setup.cfg</strong></a>
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<pre style="margin: 0;">-<span id="LC1" class="line" lang="plaintext">[bdist_wheel]</span>
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<pre style="margin: 0;">-<span id="LC2" class="line" lang="plaintext">universal = 1</span>
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<pre style="margin: 0;">-<span id="LC3" class="line" lang="plaintext"></span>
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<pre style="margin: 0;"> <span id="LC1" class="line" lang="plaintext">[versioneer]</span>
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<pre style="margin: 0;"> <span id="LC2" class="line" lang="plaintext">vcs = git</span>
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<pre style="margin: 0;"> <span id="LC3" class="line" lang="plaintext">versionfile_source = src/hdmf/_version.py</span>
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<a href="https://salsa.debian.org/med-team/hdmf/-/compare/ddbbea37b32c87d9b9ad4bb70566aa2f108798ea...11cc62d7b77a1ebd5519b708637ca24d6ab8d874#8e2edce0d507e1297474f25c00cae94258db38d8"><strong>setup.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">@@ -38,6 +38,7 @@ setup_args = {</td>
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<pre style="margin: 0;"> <span id="LC38" class="line" lang="python"> <span class="s" style="color: #d14;">'packages'</span><span class="p">:</span> <span class="n" style="color: #333;">pkgs</span><span class="p">,</span></span>
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<pre style="margin: 0;"> <span id="LC39" class="line" lang="python"> <span class="s" style="color: #d14;">'package_dir'</span><span class="p">:</span> <span class="p">{</span><span class="s" style="color: #d14;">''</span><span class="p">:</span> <span class="s" style="color: #d14;">'src'</span><span class="p">},</span></span>
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<pre style="margin: 0;"> <span id="LC40" class="line" lang="python"> <span class="s" style="color: #d14;">'package_data'</span><span class="p">:</span> <span class="p">{</span><span class="s" style="color: #d14;">'hdmf'</span><span class="p">:</span> <span class="p">[</span><span class="s" style="color: #d14;">"%s/*.yaml"</span> <span class="o" style="font-weight: 600;">%</span> <span class="n" style="color: #333;">schema_dir</span><span class="p">,</span> <span class="s" style="color: #d14;">"%s/*.json"</span> <span class="o" style="font-weight: 600;">%</span> <span class="n" style="color: #333;">schema_dir</span><span class="p">]},</span></span>
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<pre style="margin: 0;">+<span id="LC41" class="line" lang="python"> <span class="s" style="color: #d14;">'python_requires'</span><span class="p">:</span> <span class="s" style="color: #d14;">'>=3.7'</span><span class="p">,</span></span>
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<pre style="margin: 0;"> <span id="LC42" class="line" lang="python"> <span class="s" style="color: #d14;">'classifiers'</span><span class="p">:</span> <span class="p">[</span></span>
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<pre style="margin: 0;"> <span id="LC43" class="line" lang="python"> <span class="s" style="color: #d14;">"Programming Language :: Python"</span><span class="p">,</span></span>
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<pre style="margin: 0;"> <span id="LC44" class="line" lang="python"> <span class="s" style="color: #d14;">"Programming Language :: Python :: 3.7"</span><span class="p">,</span></span>
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<li id="9b0869c9ecbb8a6f13e0602b6bff34190dec2598">
<a href="https://salsa.debian.org/med-team/hdmf/-/compare/ddbbea37b32c87d9b9ad4bb70566aa2f108798ea...11cc62d7b77a1ebd5519b708637ca24d6ab8d874#9b0869c9ecbb8a6f13e0602b6bff34190dec2598"><strong>src/hdmf.egg-info/PKG-INFO</strong></a>
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1
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1
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<pre style="margin: 0;"> <span id="LC1" class="line" lang="plaintext">Metadata-Version: 2.1</span>
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2
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2
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<pre style="margin: 0;"> <span id="LC2" class="line" lang="plaintext">Name: hdmf</span>
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3
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<pre style="margin: 0;">-<span id="LC3" class="line" lang="plaintext">Version: 3.<span class="idiff left right">0</span>.1</span>
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3
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<pre style="margin: 0;">+<span id="LC3" class="line" lang="plaintext">Version: 3.<span class="idiff left right">1</span>.1</span>
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4
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<pre style="margin: 0;"> <span id="LC4" class="line" lang="plaintext">Summary: A package for standardizing hierarchical object data</span>
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5
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5
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<pre style="margin: 0;"> <span id="LC5" class="line" lang="plaintext">Home-page: https://github.com/hdmf-dev/hdmf</span>
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6
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<pre style="margin: 0;"> <span id="LC6" class="line" lang="plaintext">Author: Andrew Tritt</span>
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<td class="diff-line-num unfold js-unfold old_line" data-linenumber="20" 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="20" 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">@@ -20,6 +20,7 @@ Classifier: Operating System :: Microsoft :: Windows</td>
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20
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<pre style="margin: 0;"> <span id="LC20" class="line" lang="plaintext">Classifier: Operating System :: MacOS</span>
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<pre style="margin: 0;"> <span id="LC21" class="line" lang="plaintext">Classifier: Operating System :: Unix</span>
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<pre style="margin: 0;"> <span id="LC22" class="line" lang="plaintext">Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.</span>
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<pre style="margin: 0;">+<span id="LC23" class="line" lang="plaintext">Requires-Python: >=3.7</span>
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<pre style="margin: 0;"> <span id="LC24" class="line" lang="plaintext">Description-Content-Type: text/x-rst; charset=UTF-8</span>
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<pre style="margin: 0;"> <span id="LC25" class="line" lang="plaintext"></span>
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<pre style="margin: 0;"> <span id="LC26" class="line" lang="plaintext">========================================</span>
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<li id="e2d31c65f411ca0653fc535010d4110b35856de5">
<a href="https://salsa.debian.org/med-team/hdmf/-/compare/ddbbea37b32c87d9b9ad4bb70566aa2f108798ea...11cc62d7b77a1ebd5519b708637ca24d6ab8d874#e2d31c65f411ca0653fc535010d4110b35856de5"><strong>src/hdmf.egg-info/SOURCES.txt</strong></a>
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<td class="diff-line-num unfold js-unfold new_line" data-linenumber="44" 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">@@ -44,6 +44,7 @@ src/hdmf/build/objectmapper.py</td>
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<pre style="margin: 0;"> <span id="LC44" class="line" lang="plaintext">src/hdmf/build/warnings.py</span>
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<pre style="margin: 0;"> <span id="LC45" class="line" lang="plaintext">src/hdmf/common/__init__.py</span>
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<pre style="margin: 0;"> <span id="LC46" class="line" lang="plaintext">src/hdmf/common/alignedtable.py</span>
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<pre style="margin: 0;">+<span id="LC47" class="line" lang="plaintext">src/hdmf/common/hierarchicaltable.py</span>
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<pre style="margin: 0;"> <span id="LC48" class="line" lang="plaintext">src/hdmf/common/multi.py</span>
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<pre style="margin: 0;"> <span id="LC49" class="line" lang="plaintext">src/hdmf/common/resources.py</span>
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<pre style="margin: 0;"> <span id="LC50" class="line" lang="plaintext">src/hdmf/common/sparse.py</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">@@ -99,6 +100,7 @@ tests/unit/common/test_alignedtable.py</td>
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<pre style="margin: 0;"> <span id="LC100" class="line" lang="plaintext">tests/unit/common/test_common.py</span>
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101
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<pre style="margin: 0;"> <span id="LC101" class="line" lang="plaintext">tests/unit/common/test_common_io.py</span>
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<pre style="margin: 0;"> <span id="LC102" class="line" lang="plaintext">tests/unit/common/test_generate_table.py</span>
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<pre style="margin: 0;">+<span id="LC103" class="line" lang="plaintext">tests/unit/common/test_linkedtables.py</span>
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<pre style="margin: 0;"> <span id="LC104" class="line" lang="plaintext">tests/unit/common/test_multi.py</span>
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<pre style="margin: 0;"> <span id="LC105" class="line" lang="plaintext">tests/unit/common/test_resources.py</span>
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<pre style="margin: 0;"> <span id="LC106" class="line" lang="plaintext">tests/unit/common/test_sparse.py</span>
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<a href="https://salsa.debian.org/med-team/hdmf/-/compare/ddbbea37b32c87d9b9ad4bb70566aa2f108798ea...11cc62d7b77a1ebd5519b708637ca24d6ab8d874#ba66a4d062f6b50b4f5b0c916099b2f2e9ba2d43"><strong>src/hdmf/_version.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">@@ -8,11 +8,11 @@ import json</td>
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<pre style="margin: 0;"> <span id="LC8" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC9" class="line" lang="python"><span class="n" style="color: #333;">version_json</span> <span class="o" style="font-weight: 600;">=</span> <span class="s" style="color: #d14;">'''</span></span>
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<pre style="margin: 0;"> <span id="LC10" class="line" lang="python"><span class="s" style="color: #d14;">{</span></span>
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<pre style="margin: 0;">-<span id="LC11" class="line" lang="python"><span class="s" style="color: #d14;"> "date": "2021-07-<span class="idiff left">07T09:42</span>:0<span class="idiff right">2</span>-0700",</span></span>
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<pre style="margin: 0;">+<span id="LC11" class="line" lang="python"><span class="s" style="color: #d14;"> "date": "2021-07-<span class="idiff left">29T16:55</span>:0<span class="idiff right">1</span>-0700",</span></span>
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<pre style="margin: 0;"> <span id="LC12" class="line" lang="python"><span class="s" style="color: #d14;"> "dirty": false,</span></span>
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<pre style="margin: 0;"> <span id="LC13" class="line" lang="python"><span class="s" style="color: #d14;"> "error": null,</span></span>
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<pre style="margin: 0;">-<span id="LC14" class="line" lang="python"><span class="s" style="color: #d14;"> "full-revisionid": "<span class="idiff left right">935d9838bb4268768e9eaab2e56f7d5c936ef1f4</span>",</span></span>
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<pre style="margin: 0;">-<span id="LC15" class="line" lang="python"><span class="s" style="color: #d14;"> "version": "3.<span class="idiff left right">0</span>.1"</span></span>
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<pre style="margin: 0;">+<span id="LC14" class="line" lang="python"><span class="s" style="color: #d14;"> "full-revisionid": "<span class="idiff left right">df31c59aa396a9920077eb3970d966e9d0f7a75b</span>",</span></span>
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<pre style="margin: 0;">+<span id="LC15" class="line" lang="python"><span class="s" style="color: #d14;"> "version": "3.<span class="idiff left right">1</span>.1"</span></span>
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<pre style="margin: 0;"> <span id="LC16" class="line" lang="python"><span class="s" style="color: #d14;">}</span></span>
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<pre style="margin: 0;"> <span id="LC17" class="line" lang="python"><span class="s" style="color: #d14;">'''</span> <span class="c1" style="color: #998; font-style: italic;"># END VERSION_JSON</span></span>
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<pre style="margin: 0;"> <span id="LC18" class="line" lang="python"></span>
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<a href="https://salsa.debian.org/med-team/hdmf/-/compare/ddbbea37b32c87d9b9ad4bb70566aa2f108798ea...11cc62d7b77a1ebd5519b708637ca24d6ab8d874#8cce33fa06bfb12272866fe84bc1bef519c41152"><strong>src/hdmf/common/alignedtable.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">@@ -20,6 +20,10 @@ class AlignedDynamicTable(DynamicTable):</td>
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<pre style="margin: 0;"> <span id="LC20" class="line" lang="python"><span class="s" style="color: #d14;"> defines a 2-level table in which the main data is stored in the main table implemented by this type</span></span>
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<pre style="margin: 0;"> <span id="LC21" class="line" lang="python"><span class="s" style="color: #d14;"> and additional columns of the table are grouped into categories, with each category being'</span></span>
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<pre style="margin: 0;"> <span id="LC22" class="line" lang="python"><span class="s" style="color: #d14;"> represented by a separate DynamicTable stored within the group.</span></span>
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<pre style="margin: 0;">+<span id="LC23" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC24" class="line" lang="python"><span class="s" style="color: #d14;"> NOTE: To remain compatible with DynamicTable, the attribute colnames represents only the</span></span>
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<pre style="margin: 0;">+<span id="LC25" class="line" lang="python"><span class="s" style="color: #d14;"> columns of the main table (not including the category tables). To get the full list of</span></span>
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<pre style="margin: 0;">+<span id="LC26" class="line" lang="python"><span class="s" style="color: #d14;"> column names, use the get_colnames() function instead.</span></span>
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<pre style="margin: 0;"> <span id="LC27" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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<pre style="margin: 0;"> <span id="LC28" class="line" lang="python"> <span class="n" style="color: #333;">__fields__</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">({</span><span class="s" style="color: #d14;">'name'</span><span class="p">:</span> <span class="s" style="color: #d14;">'category_tables'</span><span class="p">,</span> <span class="s" style="color: #d14;">'child'</span><span class="p">:</span> <span class="bp" style="color: #999;">True</span><span class="p">},</span> <span class="p">)</span></span>
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<pre style="margin: 0;"> <span id="LC29" 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">@@ -209,6 +213,28 @@ class AlignedDynamicTable(DynamicTable):</td>
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<pre style="margin: 0;"> <span id="LC213" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">category</span><span class="p">,</span> <span class="n" style="color: #333;">values</span> <span class="ow" style="font-weight: 600;">in</span> <span class="n" style="color: #333;">category_data</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="LC214" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category_tables</span><span class="p">[</span><span class="n" style="color: #333;">category</span><span class="p">].</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="o" style="font-weight: 600;">**</span><span class="n" style="color: #333;">values</span><span class="p">)</span></span>
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<pre style="margin: 0;"> <span id="LC215" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC216" class="line" lang="python"> <span class="o" style="font-weight: 600;">@</span><span class="n" style="color: #333;">docval</span><span class="p">({</span><span class="s" style="color: #d14;">'name'</span><span class="p">:</span> <span class="s" style="color: #d14;">'include_category_tables'</span><span class="p">,</span> <span class="s" style="color: #d14;">'type'</span><span class="p">:</span> <span class="nb" style="color: #0086b3;">bool</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC217" class="line" lang="python"> <span class="s" style="color: #d14;">'doc'</span><span class="p">:</span> <span class="s" style="color: #d14;">"Ignore sub-category tables and just look at the main table"</span><span class="p">,</span> <span class="s" style="color: #d14;">'default'</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="LC218" class="line" lang="python"> <span class="p">{</span><span class="s" style="color: #d14;">'name'</span><span class="p">:</span> <span class="s" style="color: #d14;">'ignore_category_ids'</span><span class="p">,</span> <span class="s" style="color: #d14;">'type'</span><span class="p">:</span> <span class="nb" style="color: #0086b3;">bool</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC219" class="line" lang="python"> <span class="s" style="color: #d14;">'doc'</span><span class="p">:</span> <span class="s" style="color: #d14;">"Ignore id columns of sub-category tables"</span><span class="p">,</span> <span class="s" style="color: #d14;">'default'</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="LC220" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">get_colnames</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">,</span> <span class="o" style="font-weight: 600;">**</span><span class="n" style="color: #333;">kwargs</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC221" class="line" lang="python"> <span class="s" style="color: #d14;">"""Get the full list of names of columns for this table</span></span>
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<pre style="margin: 0;">+<span id="LC222" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC223" class="line" lang="python"><span class="s" style="color: #d14;"> :returns: List of tuples (str, str) where the first string is the name of the DynamicTable</span></span>
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<pre style="margin: 0;">+<span id="LC224" class="line" lang="python"><span class="s" style="color: #d14;"> that contains the column and the second string is the name of the column. If</span></span>
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<pre style="margin: 0;">+<span id="LC225" class="line" lang="python"><span class="s" style="color: #d14;"> include_category_tables is False, then a list of column names is returned.</span></span>
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<pre style="margin: 0;">+<span id="LC226" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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<pre style="margin: 0;">+<span id="LC227" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="ow" style="font-weight: 600;">not</span> <span class="n" style="color: #333;">getargs</span><span class="p">(</span><span class="s" style="color: #d14;">'include_category_tables'</span><span class="p">,</span> <span class="n" style="color: #333;">kwargs</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC228" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">colnames</span></span>
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<pre style="margin: 0;">+<span id="LC229" class="line" lang="python"> <span class="k" style="font-weight: 600;">else</span><span class="p">:</span></span>
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<pre style="margin: 0;">+<span id="LC230" class="line" lang="python"> <span class="n" style="color: #333;">ignore_category_ids</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">getargs</span><span class="p">(</span><span class="s" style="color: #d14;">'ignore_category_ids'</span><span class="p">,</span> <span class="n" style="color: #333;">kwargs</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC231" class="line" lang="python"> <span class="n" style="color: #333;">columns</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="n" style="color: #333;">c</span><span class="p">)</span> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">c</span> <span class="ow" style="font-weight: 600;">in</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">colnames</span><span class="p">]</span></span>
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<pre style="margin: 0;">+<span id="LC232" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">category</span> <span class="ow" style="font-weight: 600;">in</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category_tables</span><span class="p">.</span><span class="n" style="color: #333;">values</span><span class="p">():</span></span>
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<pre style="margin: 0;">+<span id="LC233" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="ow" style="font-weight: 600;">not</span> <span class="n" style="color: #333;">ignore_category_ids</span><span class="p">:</span></span>
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<pre style="margin: 0;">+<span id="LC234" class="line" lang="python"> <span class="n" style="color: #333;">columns</span> <span class="o" style="font-weight: 600;">+=</span> <span class="p">[(</span><span class="n" style="color: #333;">category</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span> <span class="p">]</span></span>
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<pre style="margin: 0;">+<span id="LC235" class="line" lang="python"> <span class="n" style="color: #333;">columns</span> <span class="o" style="font-weight: 600;">+=</span> <span class="p">[(</span><span class="n" style="color: #333;">category</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="n" style="color: #333;">c</span><span class="p">)</span> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">c</span> <span class="ow" style="font-weight: 600;">in</span> <span class="n" style="color: #333;">category</span><span class="p">.</span><span class="n" style="color: #333;">colnames</span><span class="p">]</span></span>
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<pre style="margin: 0;">+<span id="LC236" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="n" style="color: #333;">columns</span></span>
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<pre style="margin: 0;">+<span id="LC237" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC238" class="line" lang="python"> <span class="o" style="font-weight: 600;">@</span><span class="n" style="color: #333;">docval</span><span class="p">({</span><span class="s" style="color: #d14;">'name'</span><span class="p">:</span> <span class="s" style="color: #d14;">'ignore_category_ids'</span><span class="p">,</span> <span class="s" style="color: #d14;">'type'</span><span class="p">:</span> <span class="nb" style="color: #0086b3;">bool</span><span class="p">,</span></span>
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<pre style="margin: 0;"> <span id="LC239" class="line" lang="python"> <span class="s" style="color: #d14;">'doc'</span><span class="p">:</span> <span class="s" style="color: #d14;">"Ignore id columns of sub-category tables"</span><span class="p">,</span> <span class="s" style="color: #d14;">'default'</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="LC240" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">to_dataframe</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">,</span> <span class="o" style="font-weight: 600;">**</span><span class="n" style="color: #333;">kwargs</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">@@ -225,21 +251,62 @@ class AlignedDynamicTable(DynamicTable):</td>
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<pre style="margin: 0;"> <span id="LC251" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC252" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">__getitem__</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">,</span> <span class="n" style="color: #333;">item</span><span class="p">):</span></span>
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<pre style="margin: 0;"> <span id="LC253" class="line" lang="python"> <span class="s" style="color: #d14;">"""</span></span>
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<pre style="margin: 0;">-<span id="LC228" class="line" lang="python"><span class="s" style="color: #d14;"> <span class="idiff left right">:param item: Selection defining the items of interest. This may be a</span></span></span>
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<pre style="margin: 0;">+<span id="LC254" class="line" lang="python"><span class="s" style="color: #d14;"> <span class="idiff left right">Called to implement standard array slicing syntax.</span></span></span>
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<pre style="margin: 0;"> <span id="LC255" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC230" class="line" lang="python"><span class="s" style="color: #d14;"> * **int, list, array, slice** : Return one or multiple row of the table as a DataFrame</span></span>
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<pre style="margin: 0;">-<span id="LC231" class="line" lang="python"><span class="s" style="color: #d14;"> * **string** : Return a single category table as a DynamicTable or a single column of the</span></span>
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<pre style="margin: 0;">-<span id="LC232" class="line" lang="python"><span class="s" style="color: #d14;"> primary table as a</span></span>
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<pre style="margin: 0;">-<span id="LC233" class="line" lang="python"><span class="s" style="color: #d14;"> * **tuple**: Get a column, row, or cell from a particular category. The tuple is expected to consist</span></span>
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<pre style="margin: 0;">-<span id="LC234" class="line" lang="python"><span class="s" style="color: #d14;"> of (category, selection) where category may be a string with the name of the sub-category</span></span>
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<pre style="margin: 0;">-<span id="LC235" class="line" lang="python"><span class="s" style="color: #d14;"> or None (or the name of this AlignedDynamicTable) if we want to slice into the main table.</span></span>
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<pre style="margin: 0;">+<span id="LC256" class="line" lang="python"><span class="s" style="color: #d14;"> Same as ``self.get(item)``. See :py:meth:`~hdmf.common.alignedtable.AlignedDynamicTable.get` for details.</span></span>
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<pre style="margin: 0;">+<span id="LC257" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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<pre style="margin: 0;">+<span id="LC258" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">get</span><span class="p">(</span><span class="n" style="color: #333;">item</span><span class="p">)</span></span>
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<pre style="margin: 0;"> <span id="LC259" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC237" class="line" lang="python"><span class="s" style="color: #d14;"> :returns: DataFrame when retrieving a row or category. Returns scalar when selecting a cell.</span></span>
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<pre style="margin: 0;">-<span id="LC238" class="line" lang="python"><span class="s" style="color: #d14;"> Returns a VectorData/VectorIndex when retrieving a single column.</span></span>
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<pre style="margin: 0;">+<span id="LC260" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">get</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">,</span> <span class="n" style="color: #333;">item</span><span class="p">,</span> <span class="o" style="font-weight: 600;">**</span><span class="n" style="color: #333;">kwargs</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC261" class="line" lang="python"> <span class="s" style="color: #d14;">"""</span></span>
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<pre style="margin: 0;">+<span id="LC262" class="line" lang="python"><span class="s" style="color: #d14;"> Access elements (rows, columns, category tables etc.) from the table. Instead of calling</span></span>
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<pre style="margin: 0;">+<span id="LC263" class="line" lang="python"><span class="s" style="color: #d14;"> this function directly, the class also implements standard array slicing syntax</span></span>
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<pre style="margin: 0;">+<span id="LC264" class="line" lang="python"><span class="s" style="color: #d14;"> via :py:meth:`~hdmf.common.alignedtable.AlignedDynamicTable.__getitem__`</span></span>
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<pre style="margin: 0;">+<span id="LC265" class="line" lang="python"><span class="s" style="color: #d14;"> (which calls this function). For example, instead of calling</span></span>
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<pre style="margin: 0;">+<span id="LC266" class="line" lang="python"><span class="s" style="color: #d14;"> ``self.get(item=slice(2,5))`` we may use the often more convenient form of ``self[2:5]`` instead.</span></span>
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267
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<pre style="margin: 0;">+<span id="LC267" class="line" lang="python"></span>
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268
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<pre style="margin: 0;">+<span id="LC268" class="line" lang="python"><span class="s" style="color: #d14;"> :param item: Selection defining the items of interest. This may be either a:</span></span>
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269
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<pre style="margin: 0;">+<span id="LC269" class="line" lang="python"></span>
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270
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<pre style="margin: 0;">+<span id="LC270" class="line" lang="python"><span class="s" style="color: #d14;"> * **int, list, array, slice** : Return one or multiple row of the table as a pandas.DataFrame. For example:</span></span>
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271
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<pre style="margin: 0;">+<span id="LC271" class="line" lang="python"><span class="s" style="color: #d14;"> * ``self[0]`` : Select the first row of the table</span></span>
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272
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<pre style="margin: 0;">+<span id="LC272" class="line" lang="python"><span class="s" style="color: #d14;"> * ``self[[0,3]]`` : Select the first and fourth row of the table</span></span>
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273
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<pre style="margin: 0;">+<span id="LC273" class="line" lang="python"><span class="s" style="color: #d14;"> * ``self[1:4]`` : Select the rows with index 1,2,3 from the table</span></span>
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274
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<pre style="margin: 0;">+<span id="LC274" class="line" lang="python"></span>
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275
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<pre style="margin: 0;">+<span id="LC275" class="line" lang="python"><span class="s" style="color: #d14;"> * **string** : Return a column from the main table or a category table. For example:</span></span>
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276
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<pre style="margin: 0;">+<span id="LC276" class="line" lang="python"><span class="s" style="color: #d14;"> * ``self['column']`` : Return the column from the main table.</span></span>
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277
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<pre style="margin: 0;">+<span id="LC277" class="line" lang="python"><span class="s" style="color: #d14;"> * ``self['my_category']`` : Returns a DataFrame of the ``my_category`` category table.</span></span>
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278
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<pre style="margin: 0;">+<span id="LC278" class="line" lang="python"><span class="s" style="color: #d14;"> This is a shorthand for ``self.get_category('my_category').to_dataframe()``.</span></span>
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279
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<pre style="margin: 0;">+<span id="LC279" class="line" lang="python"></span>
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280
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<pre style="margin: 0;">+<span id="LC280" class="line" lang="python"><span class="s" style="color: #d14;"> * **tuple**: Get a column, row, or cell from a particular category table.</span></span>
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281
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<pre style="margin: 0;">+<span id="LC281" class="line" lang="python"><span class="s" style="color: #d14;"> The tuple is expected to consist of the following elements:</span></span>
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282
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<pre style="margin: 0;">+<span id="LC282" class="line" lang="python"></span>
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283
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<pre style="margin: 0;">+<span id="LC283" class="line" lang="python"><span class="s" style="color: #d14;"> * ``category``: string with the name of the category. To select from the main</span></span>
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284
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<pre style="margin: 0;">+<span id="LC284" class="line" lang="python"><span class="s" style="color: #d14;"> table use ``self.name`` or ``None``.</span></span>
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285
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<pre style="margin: 0;">+<span id="LC285" class="line" lang="python"><span class="s" style="color: #d14;"> * ``column``: string with the name of the column, and</span></span>
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286
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<pre style="margin: 0;">+<span id="LC286" class="line" lang="python"><span class="s" style="color: #d14;"> * ``row``: integer index of the row.</span></span>
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<pre style="margin: 0;">+<span id="LC287" class="line" lang="python"></span>
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288
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<pre style="margin: 0;">+<span id="LC288" class="line" lang="python"><span class="s" style="color: #d14;"> The tuple itself then may take the following forms:</span></span>
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<pre style="margin: 0;">+<span id="LC289" class="line" lang="python"></span>
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290
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<pre style="margin: 0;">+<span id="LC290" class="line" lang="python"><span class="s" style="color: #d14;"> * Select a single column from a table via:</span></span>
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291
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<pre style="margin: 0;">+<span id="LC291" class="line" lang="python"><span class="s" style="color: #d14;"> * ``self[category, column]``</span></span>
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<pre style="margin: 0;">+<span id="LC292" class="line" lang="python"><span class="s" style="color: #d14;"> * Select a single full row of a given category table via:</span></span>
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<pre style="margin: 0;">+<span id="LC293" class="line" lang="python"><span class="s" style="color: #d14;"> * ``self[row, category]`` (recommended, for consistency with DynamicTable)</span></span>
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<pre style="margin: 0;">+<span id="LC294" class="line" lang="python"><span class="s" style="color: #d14;"> * ``self[category, row]``</span></span>
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<pre style="margin: 0;">+<span id="LC295" class="line" lang="python"><span class="s" style="color: #d14;"> * Select a single cell via:</span></span>
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<pre style="margin: 0;">+<span id="LC296" class="line" lang="python"><span class="s" style="color: #d14;"> * ``self[row, (category, column)]`` (recommended, for consistency with DynamicTable)</span></span>
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<pre style="margin: 0;">+<span id="LC297" class="line" lang="python"><span class="s" style="color: #d14;"> * ``self[row, category, column]``</span></span>
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<pre style="margin: 0;">+<span id="LC298" class="line" lang="python"><span class="s" style="color: #d14;"> * ``self[category, column, row]``</span></span>
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<pre style="margin: 0;">+<span id="LC299" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC300" class="line" lang="python"><span class="s" style="color: #d14;"> :returns: Depending on the type of selection the function returns a:</span></span>
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<pre style="margin: 0;">+<span id="LC301" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC302" class="line" lang="python"><span class="s" style="color: #d14;"> * **pandas.DataFrame**: when retrieving a row or category table</span></span>
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<pre style="margin: 0;">+<span id="LC303" class="line" lang="python"><span class="s" style="color: #d14;"> * **array** : when retrieving a single column</span></span>
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<pre style="margin: 0;">+<span id="LC304" class="line" lang="python"><span class="s" style="color: #d14;"> * **single value** : when retrieving a single cell. The data type and shape will depend on the</span></span>
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<pre style="margin: 0;">+<span id="LC305" class="line" lang="python"><span class="s" style="color: #d14;"> data type and shape of the cell/column.</span></span>
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<pre style="margin: 0;"> <span id="LC306" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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<pre style="margin: 0;"> <span id="LC307" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">item</span><span class="p">,</span> <span class="p">(</span><span class="nb" style="color: #0086b3;">int</span><span class="p">,</span> <span class="nb" style="color: #0086b3;">list</span><span class="p">,</span> <span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">ndarray</span><span class="p">,</span> <span class="nb" style="color: #0086b3;">slice</span><span class="p">)):</span></span>
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<pre style="margin: 0;"> <span id="LC308" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># get a single full row from all tables</span></span>
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<pre style="margin: 0;">-<span id="LC242" class="line" lang="python"> <span class="n" style="color: #333;">dfs</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">([</span><span class="nb" style="color: #0086b3;">super</span><span class="p">().</span><span class="n" style="color: #333;"><span class="idiff left">__</span>get<span class="idiff">item__</span></span><span class="p"><span class="idiff">(</span></span><span class="n" style="color: #333;"><span class="idiff right">item</span></span><span class="p">).</span><span class="n" style="color: #333;">reset_index</span><span class="p">(),</span> <span class="p">]</span> <span class="o" style="font-weight: 600;">+</span></span>
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<pre style="margin: 0;">+<span id="LC309" class="line" lang="python"> <span class="n" style="color: #333;">dfs</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">([</span><span class="nb" style="color: #0086b3;">super</span><span class="p">().</span><span class="n" style="color: #333;">get</span><span class="p"><span class="idiff left">(</span></span><span class="n" style="color: #333;"><span class="idiff">item</span></span><span class="p"><span class="idiff">,</span></span><span class="idiff"> </span><span class="o" style="font-weight: 600;"><span class="idiff">**</span></span><span class="n" style="color: #333;"><span class="idiff right">kwargs</span></span><span class="p">).</span><span class="n" style="color: #333;">reset_index</span><span class="p">(),</span> <span class="p">]</span> <span class="o" style="font-weight: 600;">+</span></span>
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<pre style="margin: 0;"> <span id="LC310" class="line" lang="python"> <span class="p">[</span><span class="n" style="color: #333;">category</span><span class="p">[</span><span class="n" style="color: #333;">item</span><span class="p">].</span><span class="n" style="color: #333;">reset_index</span><span class="p">()</span> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">category</span> <span class="ow" style="font-weight: 600;">in</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category_tables</span><span class="p">.</span><span class="n" style="color: #333;">values</span><span class="p">()])</span></span>
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<pre style="margin: 0;"> <span id="LC311" class="line" lang="python"> <span class="n" style="color: #333;">names</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="p">]</span> <span class="o" style="font-weight: 600;">+</span> <span class="nb" style="color: #0086b3;">list</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category_tables</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="LC312" class="line" lang="python"> <span class="n" style="color: #333;">res</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;">dfs</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;">1</span><span class="p">,</span> <span class="n" style="color: #333;">keys</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">names</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">@@ -248,14 +315,101 @@ class AlignedDynamicTable(DynamicTable):</td>
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<pre style="margin: 0;"> <span id="LC315" class="line" lang="python"> <span class="k" style="font-weight: 600;">elif</span> <span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">item</span><span class="p">,</span> <span class="nb" style="color: #0086b3;">str</span><span class="p">)</span> <span class="ow" style="font-weight: 600;">or</span> <span class="n" style="color: #333;">item</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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249
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316
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<pre style="margin: 0;"> <span id="LC316" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">item</span> <span class="ow" style="font-weight: 600;">in</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">colnames</span><span class="p">:</span></span>
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250
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<pre style="margin: 0;"> <span id="LC317" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># get a specific column</span></span>
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251
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<pre style="margin: 0;">-<span id="LC251" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="nb" style="color: #0086b3;">super</span><span class="p">().</span><span class="n" style="color: #333;"><span class="idiff left">__</span>get<span class="idiff">item__</span></span><span class="p"><span class="idiff">(</span></span><span class="n" style="color: #333;"><span class="idiff right">item</span></span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC318" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="nb" style="color: #0086b3;">super</span><span class="p">().</span><span class="n" style="color: #333;">get</span><span class="p"><span class="idiff left">(</span></span><span class="n" style="color: #333;"><span class="idiff">item</span></span><span class="p"><span class="idiff">,</span></span><span class="idiff"> </span><span class="o" style="font-weight: 600;"><span class="idiff">**</span></span><span class="n" style="color: #333;"><span class="idiff right">kwargs</span></span><span class="p">)</span></span>
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<pre style="margin: 0;"> <span id="LC319" class="line" lang="python"> <span class="k" style="font-weight: 600;">else</span><span class="p">:</span></span>
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<pre style="margin: 0;"> <span id="LC320" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># get a single category</span></span>
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<pre style="margin: 0;"> <span id="LC321" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">get_category</span><span class="p">(</span><span class="n" style="color: #333;">item</span><span class="p">).</span><span class="n" style="color: #333;">to_dataframe</span><span class="p">()</span></span>
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<pre style="margin: 0;"> <span id="LC322" class="line" lang="python"> <span class="k" style="font-weight: 600;">elif</span> <span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">item</span><span class="p">,</span> <span class="nb" style="color: #0086b3;">tuple</span><span class="p">):</span></span>
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256
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<pre style="margin: 0;"> <span id="LC323" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="nb" style="color: #0086b3;">len</span><span class="p">(</span><span class="n" style="color: #333;">item</span><span class="p">)</span> <span class="o" style="font-weight: 600;">==</span> <span class="mi" style="color: #099;">2</span><span class="p">:</span></span>
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257
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<pre style="margin: 0;">-<span id="LC257" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">get_category</span><span class="p">(</span><span class="n" style="color: #333;">item</span><span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">])[</span><span class="n" style="color: #333;">item</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">]]</span></span>
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<pre style="margin: 0;">+<span id="LC324" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># DynamicTable allows selection of cells via the syntax [int, str], i.e,. [row_index, columnname]</span></span>
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<pre style="margin: 0;">+<span id="LC325" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># We support this syntax here as well with the additional caveat that in AlignedDynamicTable</span></span>
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<pre style="margin: 0;">+<span id="LC326" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># columns are identified by tuples of strings. As such [int, str] refers not to a cell but</span></span>
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<pre style="margin: 0;">+<span id="LC327" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># a single row in a particular category table (i.e., [row_index, category]). To select a cell</span></span>
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<pre style="margin: 0;">+<span id="LC328" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># the second part of the item then is a tuple of strings, i.e., [row_index, (category, column)]</span></span>
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<pre style="margin: 0;">+<span id="LC329" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">item</span><span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">],</span> <span class="p">(</span><span class="nb" style="color: #0086b3;">int</span><span class="p">,</span> <span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">integer</span><span class="p">)):</span></span>
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<pre style="margin: 0;">+<span id="LC330" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Select a single cell or row of a sub-table based on row-index(item[0])</span></span>
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<pre style="margin: 0;">+<span id="LC331" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># and the category (if item[1] is a string) or column (if item[1] is a tuple of (category, column)</span></span>
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<pre style="margin: 0;">+<span id="LC332" class="line" lang="python"> <span class="n" style="color: #333;">re</span> <span class="o" style="font-weight: 600;">=</span> <span class="bp" style="color: #999;">self</span><span class="p">[</span><span class="n" style="color: #333;">item</span><span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">]][</span><span class="n" style="color: #333;">item</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">]]</span></span>
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<pre style="margin: 0;">+<span id="LC333" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># re is a pandas.Series or pandas.Dataframe. If we selected a single cell</span></span>
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<pre style="margin: 0;">+<span id="LC334" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># (i.e., item[2] was a tuple defining a particular column) then return the value of the cell</span></span>
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<pre style="margin: 0;">+<span id="LC335" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">re</span><span class="p">.</span><span class="n" style="color: #333;">size</span> <span class="o" style="font-weight: 600;">==</span> <span class="mi" style="color: #099;">1</span><span class="p">:</span></span>
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<pre style="margin: 0;">+<span id="LC336" class="line" lang="python"> <span class="n" style="color: #333;">re</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">re</span><span class="p">.</span><span class="n" style="color: #333;">values</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="LC337" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># If we selected a single cell from a ragged column then we need to change the list to a tuple</span></span>
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338
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<pre style="margin: 0;">+<span id="LC338" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">re</span><span class="p">,</span> <span class="nb" style="color: #0086b3;">list</span><span class="p">):</span></span>
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339
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<pre style="margin: 0;">+<span id="LC339" class="line" lang="python"> <span class="n" style="color: #333;">re</span> <span class="o" style="font-weight: 600;">=</span> <span class="nb" style="color: #0086b3;">tuple</span><span class="p">(</span><span class="n" style="color: #333;">re</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC340" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># We selected a row of a whole table (i.e., item[2] identified only the category table,</span></span>
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<pre style="margin: 0;">+<span id="LC341" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># but not a particular column).</span></span>
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<pre style="margin: 0;">+<span id="LC342" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Change the result from a pandas.Series to a pandas.DataFrame for consistency with DynamicTable</span></span>
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<pre style="margin: 0;">+<span id="LC343" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">re</span><span class="p">,</span> <span class="n" style="color: #333;">pd</span><span class="p">.</span><span class="n" style="color: #333;">Series</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC344" class="line" lang="python"> <span class="n" style="color: #333;">re</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">re</span><span class="p">.</span><span class="n" style="color: #333;">to_frame</span><span class="p">()</span></span>
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<pre style="margin: 0;">+<span id="LC345" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="n" style="color: #333;">re</span></span>
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<pre style="margin: 0;">+<span id="LC346" class="line" lang="python"> <span class="k" style="font-weight: 600;">else</span><span class="p">:</span></span>
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347
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<pre style="margin: 0;">+<span id="LC347" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">get_category</span><span class="p">(</span><span class="n" style="color: #333;">item</span><span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">])[</span><span class="n" style="color: #333;">item</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">]]</span></span>
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258
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348
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<pre style="margin: 0;"> <span id="LC348" class="line" lang="python"> <span class="k" style="font-weight: 600;">elif</span> <span class="nb" style="color: #0086b3;">len</span><span class="p">(</span><span class="n" style="color: #333;">item</span><span class="p">)</span> <span class="o" style="font-weight: 600;">==</span> <span class="mi" style="color: #099;">3</span><span class="p">:</span></span>
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<pre style="margin: 0;">-<span id="LC259" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">get_category</span><span class="p">(</span><span class="n" style="color: #333;">item</span><span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">])[</span><span class="n" style="color: #333;">item</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">]][</span><span class="n" style="color: #333;">item</span><span class="p">[</span><span class="mi" style="color: #099;">2</span><span class="p">]]</span></span>
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<pre style="margin: 0;">+<span id="LC349" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">item</span><span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">],</span> <span class="p">(</span><span class="nb" style="color: #0086b3;">int</span><span class="p">,</span> <span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">integer</span><span class="p">)):</span></span>
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350
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<pre style="margin: 0;">+<span id="LC350" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">get_category</span><span class="p">(</span><span class="n" style="color: #333;">item</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">])[</span><span class="n" style="color: #333;">item</span><span class="p">[</span><span class="mi" style="color: #099;">2</span><span class="p">]][</span><span class="n" style="color: #333;">item</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="LC351" class="line" lang="python"> <span class="k" style="font-weight: 600;">else</span><span class="p">:</span></span>
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<pre style="margin: 0;">+<span id="LC352" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">get_category</span><span class="p">(</span><span class="n" style="color: #333;">item</span><span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">])[</span><span class="n" style="color: #333;">item</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">]][</span><span class="n" style="color: #333;">item</span><span class="p">[</span><span class="mi" style="color: #099;">2</span><span class="p">]]</span></span>
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<pre style="margin: 0;"> <span id="LC353" class="line" lang="python"> <span class="k" style="font-weight: 600;">else</span><span class="p">:</span></span>
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<pre style="margin: 0;">-<span id="LC261" class="line" lang="python"> <span class="k" style="font-weight: 600;">raise</span> <span class="nb" style="color: #0086b3;">ValueError</span><span class="p">(</span><span class="s" style="color: #d14;">"Expected tuple of length 2 or 3 with (category, column, row) as value."</span><span class="p">)</span></span></pre>
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<pre style="margin: 0;">+<span id="LC354" class="line" lang="python"> <span class="k" style="font-weight: 600;">raise</span> <span class="nb" style="color: #0086b3;">ValueError</span><span class="p">(</span><span class="s" style="color: #d14;">"Expected tuple of length 2 of the form [category, column], [row, category], "</span></span>
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<pre style="margin: 0;">+<span id="LC355" class="line" lang="python"> <span class="s" style="color: #d14;">"[row, (category, column)] or a tuple of length 3 of the form "</span></span>
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<pre style="margin: 0;">+<span id="LC356" class="line" lang="python"> <span class="s" style="color: #d14;">"[category, column, row], [row, category, column]"</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC357" class="line" lang="python"></span>
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358
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<pre style="margin: 0;">+<span id="LC358" class="line" lang="python"> <span class="o" style="font-weight: 600;">@</span><span class="n" style="color: #333;">docval</span><span class="p">({</span><span class="s" style="color: #d14;">'name'</span><span class="p">:</span> <span class="s" style="color: #d14;">'ignore_category_tables'</span><span class="p">,</span> <span class="s" style="color: #d14;">'type'</span><span class="p">:</span> <span class="nb" style="color: #0086b3;">bool</span><span class="p">,</span></span>
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359
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<pre style="margin: 0;">+<span id="LC359" class="line" lang="python"> <span class="s" style="color: #d14;">'doc'</span><span class="p">:</span> <span class="s" style="color: #d14;">"Ignore the category tables and only check in the main table columns"</span><span class="p">,</span> <span class="s" style="color: #d14;">'default'</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="LC360" class="line" lang="python"> <span class="n" style="color: #333;">allow_extra</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="LC361" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">has_foreign_columns</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">,</span> <span class="o" style="font-weight: 600;">**</span><span class="n" style="color: #333;">kwargs</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC362" class="line" lang="python"> <span class="s" style="color: #d14;">"""</span></span>
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<pre style="margin: 0;">+<span id="LC363" class="line" lang="python"><span class="s" style="color: #d14;"> Does the table contain DynamicTableRegion columns</span></span>
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<pre style="margin: 0;">+<span id="LC364" class="line" lang="python"></span>
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365
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<pre style="margin: 0;">+<span id="LC365" class="line" lang="python"><span class="s" style="color: #d14;"> :returns: True if the table or any of the category tables contains a DynamicTableRegion column, else False</span></span>
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<pre style="margin: 0;">+<span id="LC366" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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367
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<pre style="margin: 0;">+<span id="LC367" class="line" lang="python"> <span class="n" style="color: #333;">ignore_category_tables</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">getargs</span><span class="p">(</span><span class="s" style="color: #d14;">'ignore_category_tables'</span><span class="p">,</span> <span class="n" style="color: #333;">kwargs</span><span class="p">)</span></span>
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368
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<pre style="margin: 0;">+<span id="LC368" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="nb" style="color: #0086b3;">super</span><span class="p">().</span><span class="n" style="color: #333;">has_foreign_columns</span><span class="p">():</span></span>
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369
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<pre style="margin: 0;">+<span id="LC369" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="bp" style="color: #999;">True</span></span>
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370
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<pre style="margin: 0;">+<span id="LC370" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="ow" style="font-weight: 600;">not</span> <span class="n" style="color: #333;">ignore_category_tables</span><span class="p">:</span></span>
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371
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<pre style="margin: 0;">+<span id="LC371" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">table</span> <span class="ow" style="font-weight: 600;">in</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category_tables</span><span class="p">.</span><span class="n" style="color: #333;">values</span><span class="p">():</span></span>
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372
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<pre style="margin: 0;">+<span id="LC372" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">table</span><span class="p">.</span><span class="n" style="color: #333;">has_foreign_columns</span><span class="p">():</span></span>
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373
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<pre style="margin: 0;">+<span id="LC373" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="bp" style="color: #999;">True</span></span>
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374
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<pre style="margin: 0;">+<span id="LC374" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="bp" style="color: #999;">False</span></span>
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375
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<pre style="margin: 0;">+<span id="LC375" class="line" lang="python"></span>
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376
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<pre style="margin: 0;">+<span id="LC376" class="line" lang="python"> <span class="o" style="font-weight: 600;">@</span><span class="n" style="color: #333;">docval</span><span class="p">({</span><span class="s" style="color: #d14;">'name'</span><span class="p">:</span> <span class="s" style="color: #d14;">'ignore_category_tables'</span><span class="p">,</span> <span class="s" style="color: #d14;">'type'</span><span class="p">:</span> <span class="nb" style="color: #0086b3;">bool</span><span class="p">,</span></span>
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377
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<pre style="margin: 0;">+<span id="LC377" class="line" lang="python"> <span class="s" style="color: #d14;">'doc'</span><span class="p">:</span> <span class="s" style="color: #d14;">"Ignore the category tables and only check in the main table columns"</span><span class="p">,</span> <span class="s" style="color: #d14;">'default'</span><span class="p">:</span> <span class="bp" style="color: #999;">False</span><span class="p">},</span></span>
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378
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<pre style="margin: 0;">+<span id="LC378" class="line" lang="python"> <span class="n" style="color: #333;">allow_extra</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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379
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<pre style="margin: 0;">+<span id="LC379" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">get_foreign_columns</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">,</span> <span class="o" style="font-weight: 600;">**</span><span class="n" style="color: #333;">kwargs</span><span class="p">):</span></span>
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380
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<pre style="margin: 0;">+<span id="LC380" class="line" lang="python"> <span class="s" style="color: #d14;">"""</span></span>
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381
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<pre style="margin: 0;">+<span id="LC381" class="line" lang="python"><span class="s" style="color: #d14;"> Determine the names of all columns that link to another DynamicTable, i.e.,</span></span>
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382
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<pre style="margin: 0;">+<span id="LC382" class="line" lang="python"><span class="s" style="color: #d14;"> find all DynamicTableRegion type columns. Similar to a foreign key in a</span></span>
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383
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<pre style="margin: 0;">+<span id="LC383" class="line" lang="python"><span class="s" style="color: #d14;"> database, a DynamicTableRegion column references elements in another table.</span></span>
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384
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<pre style="margin: 0;">+<span id="LC384" class="line" lang="python"></span>
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385
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<pre style="margin: 0;">+<span id="LC385" class="line" lang="python"><span class="s" style="color: #d14;"> :returns: List of tuples (str, str) where the first string is the name of the</span></span>
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386
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<pre style="margin: 0;">+<span id="LC386" class="line" lang="python"><span class="s" style="color: #d14;"> category table (or None if the column is in the main table) and the</span></span>
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387
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<pre style="margin: 0;">+<span id="LC387" class="line" lang="python"><span class="s" style="color: #d14;"> second string is the column name.</span></span>
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388
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<pre style="margin: 0;">+<span id="LC388" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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389
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<pre style="margin: 0;">+<span id="LC389" class="line" lang="python"> <span class="n" style="color: #333;">ignore_category_tables</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">getargs</span><span class="p">(</span><span class="s" style="color: #d14;">'ignore_category_tables'</span><span class="p">,</span> <span class="n" style="color: #333;">kwargs</span><span class="p">)</span></span>
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390
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<pre style="margin: 0;">+<span id="LC390" class="line" lang="python"> <span class="n" style="color: #333;">col_names</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[(</span><span class="bp" style="color: #999;">None</span><span class="p">,</span> <span class="n" style="color: #333;">col_name</span><span class="p">)</span> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">col_name</span> <span class="ow" style="font-weight: 600;">in</span> <span class="nb" style="color: #0086b3;">super</span><span class="p">().</span><span class="n" style="color: #333;">get_foreign_columns</span><span class="p">()]</span></span>
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391
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<pre style="margin: 0;">+<span id="LC391" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="ow" style="font-weight: 600;">not</span> <span class="n" style="color: #333;">ignore_category_tables</span><span class="p">:</span></span>
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392
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<pre style="margin: 0;">+<span id="LC392" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">table</span> <span class="ow" style="font-weight: 600;">in</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category_tables</span><span class="p">.</span><span class="n" style="color: #333;">values</span><span class="p">():</span></span>
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393
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<pre style="margin: 0;">+<span id="LC393" class="line" lang="python"> <span class="n" style="color: #333;">col_names</span> <span class="o" style="font-weight: 600;">+=</span> <span class="p">[(</span><span class="n" style="color: #333;">table</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="n" style="color: #333;">col_name</span><span class="p">)</span> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">col_name</span> <span class="ow" style="font-weight: 600;">in</span> <span class="n" style="color: #333;">table</span><span class="p">.</span><span class="n" style="color: #333;">get_foreign_columns</span><span class="p">()]</span></span>
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<pre style="margin: 0;">+<span id="LC394" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="n" style="color: #333;">col_names</span></span>
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<pre style="margin: 0;">+<span id="LC395" class="line" lang="python"></span>
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396
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<pre style="margin: 0;">+<span id="LC396" class="line" lang="python"> <span class="o" style="font-weight: 600;">@</span><span class="n" style="color: #333;">docval</span><span class="p">(</span><span class="o" style="font-weight: 600;">*</span><span class="n" style="color: #333;">get_docval</span><span class="p">(</span><span class="n" style="color: #333;">DynamicTable</span><span class="p">.</span><span class="n" style="color: #333;">get_linked_tables</span><span class="p">),</span></span>
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397
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<pre style="margin: 0;">+<span id="LC397" class="line" lang="python"> <span class="p">{</span><span class="s" style="color: #d14;">'name'</span><span class="p">:</span> <span class="s" style="color: #d14;">'ignore_category_tables'</span><span class="p">,</span> <span class="s" style="color: #d14;">'type'</span><span class="p">:</span> <span class="nb" style="color: #0086b3;">bool</span><span class="p">,</span></span>
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398
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<pre style="margin: 0;">+<span id="LC398" class="line" lang="python"> <span class="s" style="color: #d14;">'doc'</span><span class="p">:</span> <span class="s" style="color: #d14;">"Ignore the category tables and only check in the main table columns"</span><span class="p">,</span> <span class="s" style="color: #d14;">'default'</span><span class="p">:</span> <span class="bp" style="color: #999;">False</span><span class="p">},</span></span>
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399
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<pre style="margin: 0;">+<span id="LC399" class="line" lang="python"> <span class="n" style="color: #333;">allow_extra</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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400
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<pre style="margin: 0;">+<span id="LC400" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">get_linked_tables</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">,</span> <span class="o" style="font-weight: 600;">**</span><span class="n" style="color: #333;">kwargs</span><span class="p">):</span></span>
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401
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<pre style="margin: 0;">+<span id="LC401" class="line" lang="python"> <span class="s" style="color: #d14;">"""</span></span>
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402
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<pre style="margin: 0;">+<span id="LC402" class="line" lang="python"><span class="s" style="color: #d14;"> Get a list of the full list of all tables that are being linked to directly or indirectly</span></span>
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403
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<pre style="margin: 0;">+<span id="LC403" class="line" lang="python"><span class="s" style="color: #d14;"> from this table via foreign DynamicTableColumns included in this table or in any table that</span></span>
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404
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<pre style="margin: 0;">+<span id="LC404" class="line" lang="python"><span class="s" style="color: #d14;"> can be reached through DynamicTableRegion columns</span></span>
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<pre style="margin: 0;">+<span id="LC405" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC406" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC407" class="line" lang="python"><span class="s" style="color: #d14;"> Returns: List of dicts with the following keys:</span></span>
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<pre style="margin: 0;">+<span id="LC408" class="line" lang="python"><span class="s" style="color: #d14;"> * 'source_table' : The source table containing the DynamicTableRegion column</span></span>
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409
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<pre style="margin: 0;">+<span id="LC409" class="line" lang="python"><span class="s" style="color: #d14;"> * 'source_column' : The relevant DynamicTableRegion column in the 'source_table'</span></span>
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<pre style="margin: 0;">+<span id="LC410" class="line" lang="python"><span class="s" style="color: #d14;"> * 'target_table' : The target DynamicTable; same as source_column.table.</span></span>
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411
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<pre style="margin: 0;">+<span id="LC411" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC412" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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413
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<pre style="margin: 0;">+<span id="LC413" class="line" lang="python"> <span class="n" style="color: #333;">ignore_category_tables</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">getargs</span><span class="p">(</span><span class="s" style="color: #d14;">'ignore_category_tables'</span><span class="p">,</span> <span class="n" style="color: #333;">kwargs</span><span class="p">)</span></span>
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414
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<pre style="margin: 0;">+<span id="LC414" class="line" lang="python"> <span class="n" style="color: #333;">other_tables</span> <span class="o" style="font-weight: 600;">=</span> <span class="bp" style="color: #999;">None</span> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">ignore_category_tables</span> <span class="k" style="font-weight: 600;">else</span> <span class="nb" style="color: #0086b3;">list</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category_tables</span><span class="p">.</span><span class="n" style="color: #333;">values</span><span class="p">())</span></span>
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<pre style="margin: 0;">+<span id="LC415" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="nb" style="color: #0086b3;">super</span><span class="p">().</span><span class="n" style="color: #333;">get_linked_tables</span><span class="p">(</span><span class="n" style="color: #333;">other_tables</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">other_tables</span><span class="p">)</span></span></pre>
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<a href="https://salsa.debian.org/med-team/hdmf/-/compare/ddbbea37b32c87d9b9ad4bb70566aa2f108798ea...11cc62d7b77a1ebd5519b708637ca24d6ab8d874#3751d6051520b9f91560c02327efd69cecd10a46"><strong>src/hdmf/common/hierarchicaltable.py</strong></a>
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<pre style="margin: 0;">+<span id="LC1" class="line" lang="python"><span class="s" style="color: #d14;">"""</span></span>
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<pre style="margin: 0;">+<span id="LC2" class="line" lang="python"><span class="s" style="color: #d14;">Module providing additional functionality for dealing with hierarchically nested tables, i.e.,</span></span>
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<pre style="margin: 0;">+<span id="LC3" class="line" lang="python"><span class="s" style="color: #d14;">tables containing DynamicTableRegion references.</span></span>
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<pre style="margin: 0;">+<span id="LC4" class="line" lang="python"><span class="s" style="color: #d14;">"""</span></span>
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<pre style="margin: 0;">+<span id="LC5" 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="LC6" class="line" lang="python"><span class="kn" style="font-weight: 600;">import</span> <span class="nn" style="color: #555;">numpy</span> <span class="k" style="font-weight: 600;">as</span> <span class="n" style="color: #333;">np</span></span>
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<pre style="margin: 0;">+<span id="LC7" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">hdmf.common.table</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">,</span> <span class="n" style="color: #333;">DynamicTableRegion</span><span class="p">,</span> <span class="n" style="color: #333;">VectorIndex</span></span>
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<pre style="margin: 0;">+<span id="LC8" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">hdmf.common.alignedtable</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">AlignedDynamicTable</span></span>
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<pre style="margin: 0;">+<span id="LC9" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">hdmf.utils</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">docval</span><span class="p">,</span> <span class="n" style="color: #333;">getargs</span></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>
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<pre style="margin: 0;">+<span id="LC12" class="line" lang="python"><span class="o" style="font-weight: 600;">@</span><span class="n" style="color: #333;">docval</span><span class="p">({</span><span class="s" style="color: #d14;">'name'</span><span class="p">:</span> <span class="s" style="color: #d14;">'dynamic_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'type'</span><span class="p">:</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC13" class="line" lang="python"> <span class="s" style="color: #d14;">'doc'</span><span class="p">:</span> <span class="s" style="color: #d14;">'DynamicTable object to be converted to a hierarchical pandas.Dataframe'</span><span class="p">},</span></span>
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<pre style="margin: 0;">+<span id="LC14" class="line" lang="python"> <span class="n" style="color: #333;">returns</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">"Hierarchical pandas.DataFrame with usually a pandas.MultiIndex on both the index and columns."</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC15" class="line" lang="python"> <span class="n" style="color: #333;">rtype</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'pandas.DataFrame'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC16" class="line" lang="python"> <span class="n" style="color: #333;">is_method</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="LC17" class="line" lang="python"><span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">to_hierarchical_dataframe</span><span class="p">(</span><span class="n" style="color: #333;">dynamic_table</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC18" class="line" lang="python"> <span class="s" style="color: #d14;">"""</span></span>
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<pre style="margin: 0;">+<span id="LC19" class="line" lang="python"><span class="s" style="color: #d14;"> Create a hierarchical pandas.DataFrame that represents all data from a collection of linked DynamicTables.</span></span>
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<pre style="margin: 0;">+<span id="LC20" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC21" class="line" lang="python"><span class="s" style="color: #d14;"> **LIMITATIONS:** Currently this function only supports DynamicTables with a single DynamicTableRegion column.</span></span>
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<pre style="margin: 0;">+<span id="LC22" class="line" lang="python"><span class="s" style="color: #d14;"> If a table has more than one DynamicTableRegion column then the function will expand only the</span></span>
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<pre style="margin: 0;">+<span id="LC23" class="line" lang="python"><span class="s" style="color: #d14;"> first DynamicTableRegion column found for each table. Any additional DynamicTableRegion columns will remain</span></span>
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<pre style="margin: 0;">+<span id="LC24" class="line" lang="python"><span class="s" style="color: #d14;"> nested.</span></span>
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<pre style="margin: 0;">+<span id="LC25" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC26" class="line" lang="python"><span class="s" style="color: #d14;"> **NOTE:** Some useful functions for further processing of the generated</span></span>
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<pre style="margin: 0;">+<span id="LC27" class="line" lang="python"><span class="s" style="color: #d14;"> DataFrame include:</span></span>
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<pre style="margin: 0;">+<span id="LC28" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC29" class="line" lang="python"><span class="s" style="color: #d14;"> * pandas.DataFrame.reset_index to turn the data from the pandas.MultiIndex into columns</span></span>
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<pre style="margin: 0;">+<span id="LC30" class="line" lang="python"><span class="s" style="color: #d14;"> * :py:meth:`~hdmf.common.hierarchicaltable.drop_id_columns` to remove all 'id' columns</span></span>
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<pre style="margin: 0;">+<span id="LC31" class="line" lang="python"><span class="s" style="color: #d14;"> * :py:meth:`~hdmf.common.hierarchicaltable.flatten_column_index` to flatten the column index</span></span>
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<pre style="margin: 0;">+<span id="LC32" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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<pre style="margin: 0;">+<span id="LC33" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># TODO: Need to deal with the case where we have more than one DynamicTableRegion column in a given table</span></span>
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<pre style="margin: 0;">+<span id="LC34" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Get the references column</span></span>
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<pre style="margin: 0;">+<span id="LC35" class="line" lang="python"> <span class="n" style="color: #333;">foreign_columns</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">dynamic_table</span><span class="p">.</span><span class="n" style="color: #333;">get_foreign_columns</span><span class="p">()</span></span>
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<pre style="margin: 0;">+<span id="LC36" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># if table does not contain any DynamicTableRegion columns then we can just convert it to a dataframe</span></span>
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<pre style="margin: 0;">+<span id="LC37" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="nb" style="color: #0086b3;">len</span><span class="p">(</span><span class="n" style="color: #333;">foreign_columns</span><span class="p">)</span> <span class="o" style="font-weight: 600;">==</span> <span class="mi" style="color: #099;">0</span><span class="p">:</span></span>
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<pre style="margin: 0;">+<span id="LC38" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="n" style="color: #333;">dynamic_table</span><span class="p">.</span><span class="n" style="color: #333;">to_dataframe</span><span class="p">()</span></span>
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<pre style="margin: 0;">+<span id="LC39" class="line" lang="python"> <span class="n" style="color: #333;">hcol_name</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">foreign_columns</span><span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">]</span> <span class="c1" style="color: #998; font-style: italic;"># We only denormalize the first foreign column for now</span></span>
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<pre style="margin: 0;">+<span id="LC40" class="line" lang="python"> <span class="n" style="color: #333;">hcol</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">dynamic_table</span><span class="p">[</span><span class="n" style="color: #333;">hcol_name</span><span class="p">]</span> <span class="c1" style="color: #998; font-style: italic;"># Either a VectorIndex pointing to a DynamicTableRegion or a DynamicTableRegion</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;"># Get the target DynamicTable that hcol is pointing to. If hcol is a VectorIndex then we first need</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;"># to get the target of it before we look up the table.</span></span>
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<pre style="margin: 0;">+<span id="LC43" class="line" lang="python"> <span class="n" style="color: #333;">hcol_target</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">hcol</span><span class="p">.</span><span class="n" style="color: #333;">table</span> <span class="k" style="font-weight: 600;">if</span> <span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">hcol</span><span class="p">,</span> <span class="n" style="color: #333;">DynamicTableRegion</span><span class="p">)</span> <span class="k" style="font-weight: 600;">else</span> <span class="n" style="color: #333;">hcol</span><span class="p">.</span><span class="n" style="color: #333;">target</span><span class="p">.</span><span class="n" style="color: #333;">table</span></span>
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<pre style="margin: 0;">+<span id="LC45" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Create the data variables we need to collect the data for our output dataframe and associated index</span></span>
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<pre style="margin: 0;">+<span id="LC46" class="line" lang="python"> <span class="n" style="color: #333;">index</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[]</span></span>
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<pre style="margin: 0;">+<span id="LC47" class="line" lang="python"> <span class="n" style="color: #333;">data</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[]</span></span>
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<pre style="margin: 0;">+<span id="LC48" class="line" lang="python"> <span class="n" style="color: #333;">columns</span> <span class="o" style="font-weight: 600;">=</span> <span class="bp" style="color: #999;">None</span></span>
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<pre style="margin: 0;">+<span id="LC49" class="line" lang="python"> <span class="n" style="color: #333;">index_names</span> <span class="o" style="font-weight: 600;">=</span> <span class="bp" style="color: #999;">None</span></span>
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<pre style="margin: 0;">+<span id="LC50" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC51" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># First we here get a list of DataFrames, one for each row of the column we need to process.</span></span>
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<pre style="margin: 0;">+<span id="LC52" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># If hcol is a VectorIndex (i.e., our column is a ragged array of row indices), then simply loading</span></span>
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<pre style="margin: 0;">+<span id="LC53" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># the data from the VectorIndex will do the trick. If we have a regular DynamicTableRegion column,</span></span>
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<pre style="margin: 0;">+<span id="LC54" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># then we need to load the elements ourselves (using slice syntax to make sure we get DataFrames)</span></span>
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<pre style="margin: 0;">+<span id="LC55" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># one-row-at-a-time</span></span>
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<pre style="margin: 0;">+<span id="LC56" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">hcol</span><span class="p">,</span> <span class="n" style="color: #333;">VectorIndex</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC57" class="line" lang="python"> <span class="n" style="color: #333;">rows</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">hcol</span><span class="p">.</span><span class="n" style="color: #333;">get</span><span class="p">(</span><span class="nb" style="color: #0086b3;">slice</span><span class="p">(</span><span class="bp" style="color: #999;">None</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 class="n" style="color: #333;">df</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="LC58" class="line" lang="python"> <span class="k" style="font-weight: 600;">else</span><span class="p">:</span></span>
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<pre style="margin: 0;">+<span id="LC59" class="line" lang="python"> <span class="n" style="color: #333;">rows</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[</span><span class="n" style="color: #333;">hcol</span><span class="p">[</span><span class="n" style="color: #333;">i</span><span class="p">:(</span><span class="n" style="color: #333;">i</span><span class="o" style="font-weight: 600;">+</span><span class="mi" style="color: #099;">1</span><span class="p">)]</span> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">i</span> <span class="ow" style="font-weight: 600;">in</span> <span class="nb" style="color: #0086b3;">range</span><span class="p">(</span><span class="nb" style="color: #0086b3;">len</span><span class="p">(</span><span class="n" style="color: #333;">hcol</span><span class="p">))]</span></span>
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<pre style="margin: 0;">+<span id="LC60" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Retrieve the columns we need to iterate over from our input table. For AlignedDynamicTable we need to</span></span>
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<pre style="margin: 0;">+<span id="LC61" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># use the get_colnames function instead of the colnames property to ensure we get all columns not just</span></span>
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<pre style="margin: 0;">+<span id="LC62" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># the columns from the main table</span></span>
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<pre style="margin: 0;">+<span id="LC63" class="line" lang="python"> <span class="n" style="color: #333;">dynamic_table_colnames</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">(</span><span class="n" style="color: #333;">dynamic_table</span><span class="p">.</span><span class="n" style="color: #333;">get_colnames</span><span class="p">(</span><span class="n" style="color: #333;">include_category_tables</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">True</span><span class="p">,</span> <span class="n" style="color: #333;">ignore_category_ids</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="LC64" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">dynamic_table</span><span class="p">,</span> <span class="n" style="color: #333;">AlignedDynamicTable</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;">else</span> <span class="n" style="color: #333;">dynamic_table</span><span class="p">.</span><span class="n" style="color: #333;">colnames</span><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="c1" style="color: #998; font-style: italic;"># Case 1: Our DynamicTableRegion column points to a DynamicTable that itself does not contain</span></span>
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<pre style="margin: 0;">+<span id="LC68" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># any DynamicTableRegion references (i.e., we have reached the end of our table hierarchy).</span></span>
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<pre style="margin: 0;">+<span id="LC69" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># If this is the case than we need to de-normalize the data and flatten the hierarchy</span></span>
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<pre style="margin: 0;">+<span id="LC70" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="ow" style="font-weight: 600;">not</span> <span class="n" style="color: #333;">hcol_target</span><span class="p">.</span><span class="n" style="color: #333;">has_foreign_columns</span><span class="p">():</span></span>
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<pre style="margin: 0;">+<span id="LC71" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Iterate over all rows, where each row is described by a DataFrame with one-or-more rows</span></span>
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<pre style="margin: 0;">+<span id="LC72" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">row_index</span><span class="p">,</span> <span class="n" style="color: #333;">row_df</span> <span class="ow" style="font-weight: 600;">in</span> <span class="nb" style="color: #0086b3;">enumerate</span><span class="p">(</span><span class="n" style="color: #333;">rows</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC73" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Since each row contains a pandas.DataFrame (with possible multiple rows), we</span></span>
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<pre style="margin: 0;">+<span id="LC74" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># next need to iterate over all rows in that table to denormalize our data</span></span>
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<pre style="margin: 0;">+<span id="LC75" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">row</span> <span class="ow" style="font-weight: 600;">in</span> <span class="n" style="color: #333;">row_df</span><span class="p">.</span><span class="n" style="color: #333;">itertuples</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;">True</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC76" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Determine the column data for our row. Each selected row from our target table</span></span>
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<pre style="margin: 0;">+<span id="LC77" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># becomes a row in our flattened table</span></span>
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<pre style="margin: 0;">+<span id="LC78" class="line" lang="python"> <span class="n" style="color: #333;">data</span><span class="p">.</span><span class="n" style="color: #333;">append</span><span class="p">(</span><span class="n" style="color: #333;">row</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC79" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Determine the multi-index tuple for our row, consisting of: i) id of the row in this</span></span>
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<pre style="margin: 0;">+<span id="LC80" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># table, ii) all columns (except the hierarchical column we are flattening), and</span></span>
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<pre style="margin: 0;">+<span id="LC81" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># iii) the index (i.e., id) from our target row</span></span>
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<pre style="margin: 0;">+<span id="LC82" class="line" lang="python"> <span class="n" style="color: #333;">index_data</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">([</span><span class="n" style="color: #333;">dynamic_table</span><span class="p">.</span><span class="nb" style="color: #0086b3;">id</span><span class="p">[</span><span class="n" style="color: #333;">row_index</span><span class="p">],</span> <span class="p">]</span> <span class="o" style="font-weight: 600;">+</span></span>
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<pre style="margin: 0;">+<span id="LC83" class="line" lang="python"> <span class="p">[</span><span class="n" style="color: #333;">dynamic_table</span><span class="p">[</span><span class="n" style="color: #333;">row_index</span><span class="p">,</span> <span class="n" style="color: #333;">colname</span><span class="p">]</span></span>
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<pre style="margin: 0;">+<span id="LC84" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">colname</span> <span class="ow" style="font-weight: 600;">in</span> <span class="n" style="color: #333;">dynamic_table_colnames</span> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">colname</span> <span class="o" style="font-weight: 600;">!=</span> <span class="n" style="color: #333;">hcol_name</span><span class="p">])</span></span>
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<pre style="margin: 0;">+<span id="LC85" class="line" lang="python"> <span class="n" style="color: #333;">index</span><span class="p">.</span><span class="n" style="color: #333;">append</span><span class="p">(</span><span class="nb" style="color: #0086b3;">tuple</span><span class="p">(</span><span class="n" style="color: #333;">index_data</span><span class="p">))</span></span>
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<pre style="margin: 0;">+<span id="LC86" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC87" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Determine the names for our index and columns of our output table</span></span>
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<pre style="margin: 0;">+<span id="LC88" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># We need to do this even if our table was empty (i.e. even is len(rows)==0)</span></span>
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<pre style="margin: 0;">+<span id="LC89" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># NOTE: While for a regular DynamicTable the "colnames" property will give us the full list of column names,</span></span>
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<pre style="margin: 0;">+<span id="LC90" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># for AlignedDynamicTable we need to use the get_colnames() function instead to make sure we include</span></span>
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<pre style="margin: 0;">+<span id="LC91" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># the category table columns as well.</span></span>
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<pre style="margin: 0;">+<span id="LC92" class="line" lang="python"> <span class="n" style="color: #333;">index_names</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">([(</span><span class="n" style="color: #333;">dynamic_table</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">)]</span> <span class="o" style="font-weight: 600;">+</span></span>
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<pre style="margin: 0;">+<span id="LC93" class="line" lang="python"> <span class="p">[(</span><span class="n" style="color: #333;">dynamic_table</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="n" style="color: #333;">colname</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC94" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">colname</span> <span class="ow" style="font-weight: 600;">in</span> <span class="n" style="color: #333;">dynamic_table_colnames</span> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">colname</span> <span class="o" style="font-weight: 600;">!=</span> <span class="n" style="color: #333;">hcol_name</span><span class="p">])</span></span>
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<pre style="margin: 0;">+<span id="LC95" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Determine the name of our columns</span></span>
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<pre style="margin: 0;">+<span id="LC96" class="line" lang="python"> <span class="n" style="color: #333;">hcol_iter_columns</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">(</span><span class="n" style="color: #333;">hcol_target</span><span class="p">.</span><span class="n" style="color: #333;">get_colnames</span><span class="p">(</span><span class="n" style="color: #333;">include_category_tables</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">True</span><span class="p">,</span> <span class="n" style="color: #333;">ignore_category_ids</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="LC97" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">hcol_target</span><span class="p">,</span> <span class="n" style="color: #333;">AlignedDynamicTable</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC98" class="line" lang="python"> <span class="k" style="font-weight: 600;">else</span> <span class="n" style="color: #333;">hcol_target</span><span class="p">.</span><span class="n" style="color: #333;">colnames</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC99" class="line" lang="python"> <span class="n" style="color: #333;">columns</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;">MultiIndex</span><span class="p">.</span><span class="n" style="color: #333;">from_tuples</span><span class="p">([(</span><span class="n" style="color: #333;">hcol_target</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span> <span class="p">]</span> <span class="o" style="font-weight: 600;">+</span></span>
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<pre style="margin: 0;">+<span id="LC100" class="line" lang="python"> <span class="p">[(</span><span class="n" style="color: #333;">hcol_target</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="n" style="color: #333;">c</span><span class="p">)</span> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">c</span> <span class="ow" style="font-weight: 600;">in</span> <span class="n" style="color: #333;">hcol_iter_columns</span><span class="p">],</span></span>
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<pre style="margin: 0;">+<span id="LC101" class="line" lang="python"> <span class="n" style="color: #333;">names</span><span class="o" style="font-weight: 600;">=</span><span class="p">(</span><span class="s" style="color: #d14;">'source_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'label'</span><span class="p">))</span></span>
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<pre style="margin: 0;">+<span id="LC102" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC103" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Case 2: Our DynamicTableRegion columns points to another table with a DynamicTableRegion, i.e.,</span></span>
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<pre style="margin: 0;">+<span id="LC104" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># we need to recursively resolve more levels of the table hieararchy</span></span>
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105
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<pre style="margin: 0;">+<span id="LC105" class="line" lang="python"> <span class="k" style="font-weight: 600;">else</span><span class="p">:</span></span>
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<pre style="margin: 0;">+<span id="LC106" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># First we need to recursively flatten the hierarchy by calling 'to_hierarchical_dataframe()'</span></span>
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<pre style="margin: 0;">+<span id="LC107" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># (i.e., this function) on the target of our hierarchical column</span></span>
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<pre style="margin: 0;">+<span id="LC108" class="line" lang="python"> <span class="n" style="color: #333;">hcol_hdf</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">to_hierarchical_dataframe</span><span class="p">(</span><span class="n" style="color: #333;">hcol_target</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC109" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Iterate over all rows, where each row is described by a DataFrame with one-or-more rows</span></span>
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<pre style="margin: 0;">+<span id="LC110" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">row_index</span><span class="p">,</span> <span class="n" style="color: #333;">row_df_level1</span> <span class="ow" style="font-weight: 600;">in</span> <span class="nb" style="color: #0086b3;">enumerate</span><span class="p">(</span><span class="n" style="color: #333;">rows</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC111" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Since each row contains a pandas.DataFrame (with possible multiple rows), we</span></span>
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<pre style="margin: 0;">+<span id="LC112" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># next need to iterate over all rows in that table to denormalize our data</span></span>
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<pre style="margin: 0;">+<span id="LC113" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">row_df_level2</span> <span class="ow" style="font-weight: 600;">in</span> <span class="n" style="color: #333;">row_df_level1</span><span class="p">.</span><span class="n" style="color: #333;">itertuples</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;">True</span><span class="p">):</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;"># Since our target is itself a a DynamicTable with a DynamicTableRegion columns,</span></span>
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<pre style="margin: 0;">+<span id="LC115" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># each target row itself may expand into multiple rows in the flattened hcol_hdf.</span></span>
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<pre style="margin: 0;">+<span id="LC116" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># So we now need to look up the rows in hcol_hdf that correspond to the rows in</span></span>
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<pre style="margin: 0;">+<span id="LC117" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># row_df_level2.</span></span>
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<pre style="margin: 0;">+<span id="LC118" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># NOTE: In this look-up we assume that the ids (and hence the index) of</span></span>
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<pre style="margin: 0;">+<span id="LC119" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># each row in the table are in fact unique.</span></span>
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<pre style="margin: 0;">+<span id="LC120" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">row_tuple_level3</span> <span class="ow" style="font-weight: 600;">in</span> <span class="n" style="color: #333;">hcol_hdf</span><span class="p">.</span><span class="n" style="color: #333;">loc</span><span class="p">[[</span><span class="n" style="color: #333;">row_df_level2</span><span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">]]].</span><span class="n" style="color: #333;">itertuples</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;">True</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC121" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Determine the column data for our row.</span></span>
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<pre style="margin: 0;">+<span id="LC122" class="line" lang="python"> <span class="n" style="color: #333;">data</span><span class="p">.</span><span class="n" style="color: #333;">append</span><span class="p">(</span><span class="n" style="color: #333;">row_tuple_level3</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">:])</span></span>
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<pre style="margin: 0;">+<span id="LC123" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Determine the multi-index tuple for our row,</span></span>
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<pre style="margin: 0;">+<span id="LC124" class="line" lang="python"> <span class="n" style="color: #333;">index_data</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">([</span><span class="n" style="color: #333;">dynamic_table</span><span class="p">.</span><span class="nb" style="color: #0086b3;">id</span><span class="p">[</span><span class="n" style="color: #333;">row_index</span><span class="p">],</span> <span class="p">]</span> <span class="o" style="font-weight: 600;">+</span></span>
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<pre style="margin: 0;">+<span id="LC125" class="line" lang="python"> <span class="p">[</span><span class="n" style="color: #333;">dynamic_table</span><span class="p">[</span><span class="n" style="color: #333;">row_index</span><span class="p">,</span> <span class="n" style="color: #333;">colname</span><span class="p">]</span></span>
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<pre style="margin: 0;">+<span id="LC126" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">colname</span> <span class="ow" style="font-weight: 600;">in</span> <span class="n" style="color: #333;">dynamic_table_colnames</span> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">colname</span> <span class="o" style="font-weight: 600;">!=</span> <span class="n" style="color: #333;">hcol_name</span><span class="p">]</span> <span class="o" style="font-weight: 600;">+</span></span>
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127
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<pre style="margin: 0;">+<span id="LC127" class="line" lang="python"> <span class="nb" style="color: #0086b3;">list</span><span class="p">(</span><span class="n" style="color: #333;">row_tuple_level3</span><span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">]))</span></span>
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128
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<pre style="margin: 0;">+<span id="LC128" class="line" lang="python"> <span class="n" style="color: #333;">index</span><span class="p">.</span><span class="n" style="color: #333;">append</span><span class="p">(</span><span class="nb" style="color: #0086b3;">tuple</span><span class="p">(</span><span class="n" style="color: #333;">index_data</span><span class="p">))</span></span>
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<pre style="margin: 0;">+<span id="LC129" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Determine the names for our index and columns of our output table</span></span>
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<pre style="margin: 0;">+<span id="LC130" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># We need to do this even if our table was empty (i.e. even is len(rows)==0)</span></span>
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<pre style="margin: 0;">+<span id="LC131" class="line" lang="python"> <span class="n" style="color: #333;">index_names</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">([(</span><span class="n" style="color: #333;">dynamic_table</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="s" style="color: #d14;">"id"</span><span class="p">)]</span> <span class="o" style="font-weight: 600;">+</span></span>
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132
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<pre style="margin: 0;">+<span id="LC132" class="line" lang="python"> <span class="p">[(</span><span class="n" style="color: #333;">dynamic_table</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="n" style="color: #333;">colname</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC133" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">colname</span> <span class="ow" style="font-weight: 600;">in</span> <span class="n" style="color: #333;">dynamic_table_colnames</span> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">colname</span> <span class="o" style="font-weight: 600;">!=</span> <span class="n" style="color: #333;">hcol_name</span><span class="p">]</span> <span class="o" style="font-weight: 600;">+</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;">hcol_hdf</span><span class="p">.</span><span class="n" style="color: #333;">index</span><span class="p">.</span><span class="n" style="color: #333;">names</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC135" class="line" lang="python"> <span class="n" style="color: #333;">columns</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">hcol_hdf</span><span class="p">.</span><span class="n" style="color: #333;">columns</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="LC137" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Construct the pandas dataframe with the hierarchical multi-index</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;">multi_index</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;">MultiIndex</span><span class="p">.</span><span class="n" style="color: #333;">from_tuples</span><span class="p">(</span><span class="n" style="color: #333;">index</span><span class="p">,</span> <span class="n" style="color: #333;">names</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">index_names</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC139" class="line" lang="python"> <span class="n" style="color: #333;">out_df</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;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">data</span><span class="p">,</span> <span class="n" style="color: #333;">index</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">multi_index</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;">columns</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC140" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="n" style="color: #333;">out_df</span></span>
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141
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<pre style="margin: 0;">+<span id="LC141" class="line" lang="python"></span>
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142
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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 class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">__get_col_name</span><span class="p">(</span><span class="n" style="color: #333;">col</span><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 class="s" style="color: #d14;">"""</span></span>
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<pre style="margin: 0;">+<span id="LC145" class="line" lang="python"><span class="s" style="color: #d14;"> Internal helper function to get the actual name of a pandas DataFrame column from a</span></span>
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146
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<pre style="margin: 0;">+<span id="LC146" class="line" lang="python"><span class="s" style="color: #d14;"> column name that may consists of an arbitrary sequence of tuples. The function</span></span>
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147
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<pre style="margin: 0;">+<span id="LC147" class="line" lang="python"><span class="s" style="color: #d14;"> will return the last value of the innermost tuple.</span></span>
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148
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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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149
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<pre style="margin: 0;">+<span id="LC149" class="line" lang="python"> <span class="n" style="color: #333;">curr_val</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">col</span></span>
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150
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<pre style="margin: 0;">+<span id="LC150" class="line" lang="python"> <span class="k" style="font-weight: 600;">while</span> <span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">curr_val</span><span class="p">,</span> <span class="nb" style="color: #0086b3;">tuple</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC151" class="line" lang="python"> <span class="n" style="color: #333;">curr_val</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">curr_val</span><span class="p">[</span><span class="o" style="font-weight: 600;">-</span><span class="mi" style="color: #099;">1</span><span class="p">]</span></span>
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<pre style="margin: 0;">+<span id="LC152" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="n" style="color: #333;">curr_val</span></span>
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<pre style="margin: 0;">+<span id="LC153" class="line" lang="python"></span>
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154
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<pre style="margin: 0;">+<span id="LC154" class="line" lang="python"></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;">def</span> <span class="nf" style="color: #900; font-weight: 600;">__flatten_column_name</span><span class="p">(</span><span class="n" style="color: #333;">col</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="s" style="color: #d14;">"""</span></span>
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157
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<pre style="margin: 0;">+<span id="LC157" class="line" lang="python"><span class="s" style="color: #d14;"> Internal helper function used to iteratively flatten a nested tuple</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="s" style="color: #d14;"> :param col: Column name to flatten</span></span>
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160
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<pre style="margin: 0;">+<span id="LC160" class="line" lang="python"><span class="s" style="color: #d14;"> :type col: Tuple or String</span></span>
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161
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<pre style="margin: 0;">+<span id="LC161" class="line" lang="python"></span>
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162
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<pre style="margin: 0;">+<span id="LC162" class="line" lang="python"><span class="s" style="color: #d14;"> :returns: If col is a tuple then the result is a flat tuple otherwise col is returned as is</span></span>
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163
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<pre style="margin: 0;">+<span id="LC163" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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164
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<pre style="margin: 0;">+<span id="LC164" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">col</span><span class="p">,</span> <span class="nb" style="color: #0086b3;">tuple</span><span class="p">):</span></span>
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165
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<pre style="margin: 0;">+<span id="LC165" class="line" lang="python"> <span class="n" style="color: #333;">re</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">col</span></span>
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166
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<pre style="margin: 0;">+<span id="LC166" class="line" lang="python"> <span class="k" style="font-weight: 600;">while</span> <span class="n" style="color: #333;">np</span><span class="p">.</span><span class="nb" style="color: #0086b3;">any</span><span class="p">([</span><span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">v</span><span class="p">,</span> <span class="nb" style="color: #0086b3;">tuple</span><span class="p">)</span> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">v</span> <span class="ow" style="font-weight: 600;">in</span> <span class="n" style="color: #333;">re</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;">temp</span> <span class="o" style="font-weight: 600;">=</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="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">v</span> <span class="ow" style="font-weight: 600;">in</span> <span class="n" style="color: #333;">re</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="k" style="font-weight: 600;">if</span> <span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">v</span><span class="p">,</span> <span class="nb" style="color: #0086b3;">tuple</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;">temp</span> <span class="o" style="font-weight: 600;">+=</span> <span class="nb" style="color: #0086b3;">list</span><span class="p">(</span><span class="n" style="color: #333;">v</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="k" style="font-weight: 600;">else</span><span class="p">:</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;">temp</span> <span class="o" style="font-weight: 600;">+=</span> <span class="p">[</span><span class="n" style="color: #333;">v</span><span class="p">,</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;">re</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">temp</span></span>
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<pre style="margin: 0;">+<span id="LC174" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="nb" style="color: #0086b3;">tuple</span><span class="p">(</span><span class="n" style="color: #333;">re</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="k" style="font-weight: 600;">else</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="k" style="font-weight: 600;">return</span> <span class="n" style="color: #333;">col</span></span>
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177
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<pre style="margin: 0;">+<span id="LC177" class="line" lang="python"></span>
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178
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<pre style="margin: 0;">+<span id="LC178" class="line" lang="python"></span>
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179
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<pre style="margin: 0;">+<span id="LC179" class="line" lang="python"><span class="o" style="font-weight: 600;">@</span><span class="n" style="color: #333;">docval</span><span class="p">({</span><span class="s" style="color: #d14;">'name'</span><span class="p">:</span> <span class="s" style="color: #d14;">'dataframe'</span><span class="p">,</span> <span class="s" style="color: #d14;">'type'</span><span class="p">:</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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180
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<pre style="margin: 0;">+<span id="LC180" class="line" lang="python"> <span class="s" style="color: #d14;">'doc'</span><span class="p">:</span> <span class="s" style="color: #d14;">'Pandas dataframe to update (usually generated by the to_hierarchical_dataframe function)'</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="p">{</span><span class="s" style="color: #d14;">'name'</span><span class="p">:</span> <span class="s" style="color: #d14;">'inplace'</span><span class="p">,</span> <span class="s" style="color: #d14;">'type'</span><span class="p">:</span> <span class="s" style="color: #d14;">'bool'</span><span class="p">,</span> <span class="s" style="color: #d14;">'doc'</span><span class="p">:</span> <span class="s" style="color: #d14;">'Update the dataframe inplace or return a modified copy'</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="s" style="color: #d14;">'default'</span><span class="p">:</span> <span class="bp" style="color: #999;">False</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;">returns</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">"pandas.DataFrame with the id columns removed"</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="n" style="color: #333;">rtype</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'pandas.DataFrame'</span><span class="p">,</span></span>
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185
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<pre style="margin: 0;">+<span id="LC185" class="line" lang="python"> <span class="n" style="color: #333;">is_method</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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186
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<pre style="margin: 0;">+<span id="LC186" class="line" lang="python"><span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">drop_id_columns</span><span class="p">(</span><span class="o" style="font-weight: 600;">**</span><span class="n" style="color: #333;">kwargs</span><span class="p">):</span></span>
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187
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<pre style="margin: 0;">+<span id="LC187" class="line" lang="python"> <span class="s" style="color: #d14;">"""</span></span>
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188
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<pre style="margin: 0;">+<span id="LC188" class="line" lang="python"><span class="s" style="color: #d14;"> Drop all columns named 'id' from the table.</span></span>
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189
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<pre style="margin: 0;">+<span id="LC189" class="line" lang="python"></span>
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190
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<pre style="margin: 0;">+<span id="LC190" class="line" lang="python"><span class="s" style="color: #d14;"> In case a column name is a tuple the function will drop any column for which</span></span>
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191
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<pre style="margin: 0;">+<span id="LC191" class="line" lang="python"><span class="s" style="color: #d14;"> the inner-most name is 'id'. The 'id' columns of DynamicTable is in many cases</span></span>
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192
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<pre style="margin: 0;">+<span id="LC192" class="line" lang="python"><span class="s" style="color: #d14;"> not necessary for analysis or display. This function allow us to easily filter</span></span>
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193
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<pre style="margin: 0;">+<span id="LC193" class="line" lang="python"><span class="s" style="color: #d14;"> all those columns.</span></span>
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194
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<pre style="margin: 0;">+<span id="LC194" class="line" lang="python"></span>
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195
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<pre style="margin: 0;">+<span id="LC195" class="line" lang="python"><span class="s" style="color: #d14;"> :raises TypeError: In case that dataframe parameter is not a pandas.Dataframe.</span></span>
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196
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<pre style="margin: 0;">+<span id="LC196" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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<pre style="margin: 0;">+<span id="LC197" class="line" lang="python"> <span class="n" style="color: #333;">dataframe</span><span class="p">,</span> <span class="n" style="color: #333;">inplace</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">getargs</span><span class="p">(</span><span class="s" style="color: #d14;">'dataframe'</span><span class="p">,</span> <span class="s" style="color: #d14;">'inplace'</span><span class="p">,</span> <span class="n" style="color: #333;">kwargs</span><span class="p">)</span></span>
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198
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<pre style="margin: 0;">+<span id="LC198" class="line" lang="python"> <span class="n" style="color: #333;">col_name</span> <span class="o" style="font-weight: 600;">=</span> <span class="s" style="color: #d14;">'id'</span></span>
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199
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<pre style="margin: 0;">+<span id="LC199" class="line" lang="python"> <span class="n" style="color: #333;">drop_labels</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[]</span></span>
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<pre style="margin: 0;">+<span id="LC200" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">col</span> <span class="ow" style="font-weight: 600;">in</span> <span class="n" style="color: #333;">dataframe</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">:</span></span>
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201
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<pre style="margin: 0;">+<span id="LC201" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">__get_col_name</span><span class="p">(</span><span class="n" style="color: #333;">col</span><span class="p">)</span> <span class="o" style="font-weight: 600;">==</span> <span class="n" style="color: #333;">col_name</span><span class="p">:</span></span>
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202
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<pre style="margin: 0;">+<span id="LC202" class="line" lang="python"> <span class="n" style="color: #333;">drop_labels</span><span class="p">.</span><span class="n" style="color: #333;">append</span><span class="p">(</span><span class="n" style="color: #333;">col</span><span class="p">)</span></span>
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203
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<pre style="margin: 0;">+<span id="LC203" class="line" lang="python"> <span class="n" style="color: #333;">re</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">dataframe</span><span class="p">.</span><span class="n" style="color: #333;">drop</span><span class="p">(</span><span class="n" style="color: #333;">labels</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">drop_labels</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;">1</span><span class="p">,</span> <span class="n" style="color: #333;">inplace</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">inplace</span><span class="p">)</span></span>
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204
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<pre style="margin: 0;">+<span id="LC204" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="n" style="color: #333;">dataframe</span> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">inplace</span> <span class="k" style="font-weight: 600;">else</span> <span class="n" style="color: #333;">re</span></span>
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<pre style="margin: 0;">+<span id="LC205" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC206" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC207" class="line" lang="python"><span class="o" style="font-weight: 600;">@</span><span class="n" style="color: #333;">docval</span><span class="p">({</span><span class="s" style="color: #d14;">'name'</span><span class="p">:</span> <span class="s" style="color: #d14;">'dataframe'</span><span class="p">,</span> <span class="s" style="color: #d14;">'type'</span><span class="p">:</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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208
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<pre style="margin: 0;">+<span id="LC208" class="line" lang="python"> <span class="s" style="color: #d14;">'doc'</span><span class="p">:</span> <span class="s" style="color: #d14;">'Pandas dataframe to update (usually generated by the to_hierarchical_dataframe function)'</span><span class="p">},</span></span>
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209
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<pre style="margin: 0;">+<span id="LC209" class="line" lang="python"> <span class="p">{</span><span class="s" style="color: #d14;">'name'</span><span class="p">:</span> <span class="s" style="color: #d14;">'max_levels'</span><span class="p">,</span> <span class="s" style="color: #d14;">'type'</span><span class="p">:</span> <span class="p">(</span><span class="nb" style="color: #0086b3;">int</span><span class="p">,</span> <span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">integer</span><span class="p">),</span></span>
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210
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<pre style="margin: 0;">+<span id="LC210" class="line" lang="python"> <span class="s" style="color: #d14;">'doc'</span><span class="p">:</span> <span class="s" style="color: #d14;">'Maximum number of levels to use in the resulting column Index. NOTE: When '</span></span>
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211
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<pre style="margin: 0;">+<span id="LC211" class="line" lang="python"> <span class="s" style="color: #d14;">'limiting the number of levels the function simply removes levels from the '</span></span>
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212
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<pre style="margin: 0;">+<span id="LC212" class="line" lang="python"> <span class="s" style="color: #d14;">'beginning. As such, removing levels may result in columns with duplicate names.'</span></span>
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213
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<pre style="margin: 0;">+<span id="LC213" class="line" lang="python"> <span class="s" style="color: #d14;">'Value must be >0.'</span><span class="p">,</span></span>
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214
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<pre style="margin: 0;">+<span id="LC214" class="line" lang="python"> <span class="s" style="color: #d14;">'default'</span><span class="p">:</span> <span class="bp" style="color: #999;">None</span><span class="p">},</span></span>
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215
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<pre style="margin: 0;">+<span id="LC215" class="line" lang="python"> <span class="p">{</span><span class="s" style="color: #d14;">'name'</span><span class="p">:</span> <span class="s" style="color: #d14;">'inplace'</span><span class="p">,</span> <span class="s" style="color: #d14;">'type'</span><span class="p">:</span> <span class="s" style="color: #d14;">'bool'</span><span class="p">,</span> <span class="s" style="color: #d14;">'doc'</span><span class="p">:</span> <span class="s" style="color: #d14;">'Update the dataframe inplace or return a modified copy'</span><span class="p">,</span></span>
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216
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<pre style="margin: 0;">+<span id="LC216" class="line" lang="python"> <span class="s" style="color: #d14;">'default'</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="LC217" class="line" lang="python"> <span class="n" style="color: #333;">returns</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">"pandas.DataFrame with a regular pandas.Index columns rather and a pandas.MultiIndex"</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC218" class="line" lang="python"> <span class="n" style="color: #333;">rtype</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'pandas.DataFrame'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC219" class="line" lang="python"> <span class="n" style="color: #333;">is_method</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="LC220" class="line" lang="python"><span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">flatten_column_index</span><span class="p">(</span><span class="o" style="font-weight: 600;">**</span><span class="n" style="color: #333;">kwargs</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC221" class="line" lang="python"> <span class="s" style="color: #d14;">"""</span></span>
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<pre style="margin: 0;">+<span id="LC222" class="line" lang="python"><span class="s" style="color: #d14;"> Flatten the column index of a pandas DataFrame.</span></span>
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<pre style="margin: 0;">+<span id="LC223" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC224" class="line" lang="python"><span class="s" style="color: #d14;"> The functions changes the dataframe.columns from a pandas.MultiIndex to a normal Index,</span></span>
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<pre style="margin: 0;">+<span id="LC225" class="line" lang="python"><span class="s" style="color: #d14;"> with each column usually being identified by a tuple of strings. This function is</span></span>
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<pre style="margin: 0;">+<span id="LC226" class="line" lang="python"><span class="s" style="color: #d14;"> typically used in conjunction with DataFrames generated</span></span>
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<pre style="margin: 0;">+<span id="LC227" class="line" lang="python"><span class="s" style="color: #d14;"> by :py:meth:`~hdmf.common.hierarchicaltable.to_hierarchical_dataframe`</span></span>
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<pre style="margin: 0;">+<span id="LC228" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC229" class="line" lang="python"><span class="s" style="color: #d14;"> :raises ValueError: In case the num_levels is not >0</span></span>
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<pre style="margin: 0;">+<span id="LC230" class="line" lang="python"><span class="s" style="color: #d14;"> :raises TypeError: In case that dataframe parameter is not a pandas.Dataframe.</span></span>
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<pre style="margin: 0;">+<span id="LC231" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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<pre style="margin: 0;">+<span id="LC232" class="line" lang="python"> <span class="n" style="color: #333;">dataframe</span><span class="p">,</span> <span class="n" style="color: #333;">max_levels</span><span class="p">,</span> <span class="n" style="color: #333;">inplace</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">getargs</span><span class="p">(</span><span class="s" style="color: #d14;">'dataframe'</span><span class="p">,</span> <span class="s" style="color: #d14;">'max_levels'</span><span class="p">,</span> <span class="s" style="color: #d14;">'inplace'</span><span class="p">,</span> <span class="n" style="color: #333;">kwargs</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC233" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">max_levels</span> <span class="ow" style="font-weight: 600;">is</span> <span class="ow" style="font-weight: 600;">not</span> <span class="bp" style="color: #999;">None</span> <span class="ow" style="font-weight: 600;">and</span> <span class="n" style="color: #333;">max_levels</span> <span class="o" style="font-weight: 600;"><=</span> <span class="mi" style="color: #099;">0</span><span class="p">:</span></span>
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<pre style="margin: 0;">+<span id="LC234" class="line" lang="python"> <span class="k" style="font-weight: 600;">raise</span> <span class="nb" style="color: #0086b3;">ValueError</span><span class="p">(</span><span class="s" style="color: #d14;">'max_levels must be greater than 0'</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC235" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Compute the new column names</span></span>
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<pre style="margin: 0;">+<span id="LC236" class="line" lang="python"> <span class="n" style="color: #333;">col_names</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[</span><span class="n" style="color: #333;">__flatten_column_name</span><span class="p">(</span><span class="n" style="color: #333;">col</span><span class="p">)</span> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">col</span> <span class="ow" style="font-weight: 600;">in</span> <span class="n" style="color: #333;">dataframe</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">.</span><span class="n" style="color: #333;">values</span><span class="p">]</span></span>
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<pre style="margin: 0;">+<span id="LC237" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Apply the max_levels filter. Make sure to do this only for columns that are actually tuples</span></span>
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<pre style="margin: 0;">+<span id="LC238" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># in order not to accidentally shorten the actual string name of columns</span></span>
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<pre style="margin: 0;">+<span id="LC239" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">max_levels</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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<pre style="margin: 0;">+<span id="LC240" class="line" lang="python"> <span class="n" style="color: #333;">select_levels</span> <span class="o" style="font-weight: 600;">=</span> <span class="nb" style="color: #0086b3;">slice</span><span class="p">(</span><span class="bp" style="color: #999;">None</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC241" class="line" lang="python"> <span class="k" style="font-weight: 600;">elif</span> <span class="n" style="color: #333;">max_levels</span> <span class="o" style="font-weight: 600;">==</span> <span class="mi" style="color: #099;">1</span><span class="p">:</span></span>
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<pre style="margin: 0;">+<span id="LC242" class="line" lang="python"> <span class="n" style="color: #333;">select_levels</span> <span class="o" style="font-weight: 600;">=</span> <span class="o" style="font-weight: 600;">-</span><span class="mi" style="color: #099;">1</span></span>
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<pre style="margin: 0;">+<span id="LC243" class="line" lang="python"> <span class="k" style="font-weight: 600;">else</span><span class="p">:</span> <span class="c1" style="color: #998; font-style: italic;"># max_levels > 1</span></span>
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<pre style="margin: 0;">+<span id="LC244" class="line" lang="python"> <span class="n" style="color: #333;">select_levels</span> <span class="o" style="font-weight: 600;">=</span> <span class="nb" style="color: #0086b3;">slice</span><span class="p">(</span><span class="o" style="font-weight: 600;">-</span><span class="n" style="color: #333;">max_levels</span><span class="p">,</span> <span class="bp" style="color: #999;">None</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC245" class="line" lang="python"> <span class="n" style="color: #333;">col_names</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[</span><span class="n" style="color: #333;">col</span><span class="p">[</span><span class="n" style="color: #333;">select_levels</span><span class="p">]</span> <span class="k" style="font-weight: 600;">if</span> <span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">col</span><span class="p">,</span> <span class="nb" style="color: #0086b3;">tuple</span><span class="p">)</span> <span class="k" style="font-weight: 600;">else</span> <span class="n" style="color: #333;">col</span> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">col</span> <span class="ow" style="font-weight: 600;">in</span> <span class="n" style="color: #333;">col_names</span><span class="p">]</span></span>
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<pre style="margin: 0;">+<span id="LC246" class="line" lang="python"> <span class="n" style="color: #333;">re</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">dataframe</span> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">inplace</span> <span class="k" style="font-weight: 600;">else</span> <span class="n" style="color: #333;">dataframe</span><span class="p">.</span><span class="n" style="color: #333;">copy</span><span class="p">()</span></span>
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<pre style="margin: 0;">+<span id="LC247" class="line" lang="python"> <span class="n" style="color: #333;">re</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;">col_names</span></span>
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<pre style="margin: 0;">+<span id="LC248" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="n" style="color: #333;">re</span></span></pre>
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<a href="https://salsa.debian.org/med-team/hdmf/-/compare/ddbbea37b32c87d9b9ad4bb70566aa2f108798ea...11cc62d7b77a1ebd5519b708637ca24d6ab8d874#30612f23307a5d9e465d94c07c690ec40afdc20d"><strong>src/hdmf/common/table.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">@@ -5,6 +5,7 @@ the storage and use of dynamic data tables as part of the hdmf-common schema</td>
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<pre style="margin: 0;"> <span id="LC5" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC6" class="line" lang="python"><span class="kn" style="font-weight: 600;">import</span> <span class="nn" style="color: #555;">re</span></span>
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<pre style="margin: 0;"> <span id="LC7" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">collections</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">OrderedDict</span></span>
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<pre style="margin: 0;">+<span id="LC8" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">typing</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">NamedTuple</span><span class="p">,</span> <span class="n" style="color: #333;">Union</span></span>
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<pre style="margin: 0;"> <span id="LC9" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">warnings</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">warn</span></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="kn" style="font-weight: 600;">import</span> <span class="nn" style="color: #555;">numpy</span> <span class="k" style="font-weight: 600;">as</span> <span class="n" style="color: #333;">np</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">@@ -47,9 +48,21 @@ class VectorData(Data):</td>
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<pre style="margin: 0;"> <span id="LC48" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">append</span><span class="p">(</span><span class="n" style="color: #333;">val</span><span class="p">)</span></span>
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<pre style="margin: 0;"> <span id="LC49" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC50" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">get</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">,</span> <span class="n" style="color: #333;">key</span><span class="p">,</span> <span class="o" style="font-weight: 600;">**</span><span class="n" style="color: #333;">kwargs</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC51" class="line" lang="python"> <span class="s" style="color: #d14;">"""</span></span>
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<pre style="margin: 0;">+<span id="LC52" class="line" lang="python"><span class="s" style="color: #d14;"> Retrieve elements from this VectorData</span></span>
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<pre style="margin: 0;">+<span id="LC53" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC54" class="line" lang="python"><span class="s" style="color: #d14;"> :param key: Selection of the elements</span></span>
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<pre style="margin: 0;">+<span id="LC55" class="line" lang="python"><span class="s" style="color: #d14;"> :param **kwargs: Ignored</span></span>
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<pre style="margin: 0;">+<span id="LC56" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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<pre style="margin: 0;"> <span id="LC57" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="nb" style="color: #0086b3;">super</span><span class="p">().</span><span class="n" style="color: #333;">get</span><span class="p">(</span><span class="n" style="color: #333;">key</span><span class="p">)</span></span>
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<pre style="margin: 0;"> <span id="LC58" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC59" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">extend</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">,</span> <span class="n" style="color: #333;">ar</span><span class="p">,</span> <span class="o" style="font-weight: 600;">**</span><span class="n" style="color: #333;">kwargs</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC60" class="line" lang="python"> <span class="s" style="color: #d14;">"""Add all elements of the iterable arg to the end of this VectorData.</span></span>
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<pre style="margin: 0;">+<span id="LC61" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC62" class="line" lang="python"><span class="s" style="color: #d14;"> Each subclass of VectorData should have its own extend method to ensure functionality and efficiency.</span></span>
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<pre style="margin: 0;">+<span id="LC63" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC64" class="line" lang="python"><span class="s" style="color: #d14;"> :param arg: The iterable to add to the end of this VectorData</span></span>
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<pre style="margin: 0;">+<span id="LC65" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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<pre style="margin: 0;"> <span id="LC66" 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="LC67" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Each subclass of VectorData should have its own extend method to ensure</span></span>
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<pre style="margin: 0;"> <span id="LC68" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># functionality AND efficiency of the extend operation. However, because currently</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">@@ -805,14 +818,14 @@ class DynamicTable(Container):</td>
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<pre style="margin: 0;"> <span id="LC818" class="line" lang="python"><span class="s" style="color: #d14;"> :param key: Key defining which elements of the table to select. This may be one of the following:</span></span>
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806
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<pre style="margin: 0;"> <span id="LC819" class="line" lang="python"></span>
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807
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<pre style="margin: 0;"> <span id="LC820" class="line" lang="python"><span class="s" style="color: #d14;"> 1) string with the name of the column to select</span></span>
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808
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<pre style="margin: 0;">-<span id="LC808" class="line" lang="python"><span class="s" style="color: #d14;"> 2) a tuple consisting of (<span class="idiff left">str, int) where</span> the string identifies the<span class="idiff right"> column to select by name</span></span></span>
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809
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<pre style="margin: 0;">-<span id="LC809" class="line" lang="python"><span class="s" style="color: #d14;"> <span class="idiff left right">and the int selects the row</span></span></span>
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<pre style="margin: 0;">+<span id="LC821" class="line" lang="python"><span class="s" style="color: #d14;"> 2) a tuple consisting of (<span class="idiff left right">int, str) where the int selects the row and</span> the string identifies the</span></span>
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822
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<pre style="margin: 0;">+<span id="LC822" class="line" lang="python"><span class="s" style="color: #d14;"> <span class="idiff left right">column to select by name</span></span></span>
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810
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823
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<pre style="margin: 0;"> <span id="LC823" class="line" lang="python"><span class="s" style="color: #d14;"> 3) int, list of ints, array, or slice selecting a set of full rows in the table. If an int is used, then</span></span>
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811
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824
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<pre style="margin: 0;"> <span id="LC824" class="line" lang="python"><span class="s" style="color: #d14;"> scalars are returned for each column that has a single value. If a list, array, or slice is used and</span></span>
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812
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825
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<pre style="margin: 0;"> <span id="LC825" class="line" lang="python"><span class="s" style="color: #d14;"> df=False, then lists are returned for each column, even if the list, array, or slice resolves to a</span></span>
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826
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<pre style="margin: 0;"> <span id="LC826" class="line" lang="python"><span class="s" style="color: #d14;"> single row.</span></span>
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827
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<pre style="margin: 0;"> <span id="LC827" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC815" class="line" lang="python"><span class="s" style="color: #d14;"> :return: 1) If key is a string, then return <span class="idiff left right">array with the data of the selected column</span></span></span>
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828
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<pre style="margin: 0;">+<span id="LC828" class="line" lang="python"><span class="s" style="color: #d14;"> :return: 1) If key is a string, then return <span class="idiff left right">the VectorData object representing the column with the string name</span></span></span>
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816
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829
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<pre style="margin: 0;"> <span id="LC829" class="line" lang="python"><span class="s" style="color: #d14;"> 2) If key is a tuple of (int, str), then return the scalar value of the selected cell</span></span>
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817
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830
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<pre style="margin: 0;"> <span id="LC830" class="line" lang="python"><span class="s" style="color: #d14;"> 3) If key is an int, list, np.ndarray, or slice, then return pandas.DataFrame or lists</span></span>
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831
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<pre style="margin: 0;"> <span id="LC831" class="line" lang="python"><span class="s" style="color: #d14;"> consisting of one or more rows</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">@@ -927,6 +940,7 @@ class DynamicTable(Container):</td>
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940
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<pre style="margin: 0;"> <span id="LC940" class="line" lang="python"> <span class="k" style="font-weight: 600;">else</span><span class="p">:</span> <span class="c1" style="color: #998; font-style: italic;"># scalar, don't wrap</span></span>
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941
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<pre style="margin: 0;"> <span id="LC941" class="line" lang="python"> <span class="n" style="color: #333;">df_input</span><span class="p">[</span><span class="n" style="color: #333;">k</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">coldata</span><span class="p">[</span><span class="n" style="color: #333;">k</span><span class="p">]</span></span>
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929
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942
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<pre style="margin: 0;"> <span id="LC942" class="line" lang="python"> <span class="n" style="color: #333;">ret</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;">df_input</span><span class="p">,</span> <span class="n" style="color: #333;">index</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;">Index</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="nb" style="color: #0086b3;">id</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">id_index</span><span class="p">))</span></span>
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943
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<pre style="margin: 0;">+<span id="LC943" class="line" lang="python"> <span class="n" style="color: #333;">ret</span><span class="p">.</span><span class="n" style="color: #333;">name</span> <span class="o" style="font-weight: 600;">=</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">name</span></span>
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930
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944
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<pre style="margin: 0;"> <span id="LC944" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="n" style="color: #333;">ret</span></span>
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931
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945
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<pre style="margin: 0;"> <span id="LC945" class="line" lang="python"></span>
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946
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<pre style="margin: 0;"> <span id="LC946" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">__get_selection_as_df</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">,</span> <span class="n" style="color: #333;">coldata</span><span class="p">):</span></span>
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<td class="diff-line-num unfold js-unfold new_line" data-linenumber="965" 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">@@ -951,6 +965,7 @@ class DynamicTable(Container):</td>
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951
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965
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<pre style="margin: 0;"> <span id="LC965" class="line" lang="python"> <span class="k" style="font-weight: 600;">else</span><span class="p">:</span></span>
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952
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<pre style="margin: 0;"> <span id="LC966" class="line" lang="python"> <span class="n" style="color: #333;">df_input</span><span class="p">[</span><span class="n" style="color: #333;">k</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">coldata</span><span class="p">[</span><span class="n" style="color: #333;">k</span><span class="p">]</span></span>
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967
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<pre style="margin: 0;"> <span id="LC967" class="line" lang="python"> <span class="n" style="color: #333;">ret</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;">df_input</span><span class="p">,</span> <span class="n" style="color: #333;">index</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;">Index</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="nb" style="color: #0086b3;">id</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">id_index</span><span class="p">))</span></span>
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968
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<pre style="margin: 0;">+<span id="LC968" class="line" lang="python"> <span class="n" style="color: #333;">ret</span><span class="p">.</span><span class="n" style="color: #333;">name</span> <span class="o" style="font-weight: 600;">=</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">name</span></span>
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969
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<pre style="margin: 0;"> <span id="LC969" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="n" style="color: #333;">ret</span></span>
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970
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<pre style="margin: 0;"> <span id="LC970" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC971" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">__contains__</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">,</span> <span class="n" style="color: #333;">val</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">@@ -959,6 +974,72 @@ class DynamicTable(Container):</td>
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<pre style="margin: 0;"> <span id="LC974" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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<pre style="margin: 0;"> <span id="LC975" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="n" style="color: #333;">val</span> <span class="ow" style="font-weight: 600;">in</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">__colids</span> <span class="ow" style="font-weight: 600;">or</span> <span class="n" style="color: #333;">val</span> <span class="ow" style="font-weight: 600;">in</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">__indices</span></span>
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976
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<pre style="margin: 0;"> <span id="LC976" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC977" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">get_foreign_columns</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC978" class="line" lang="python"> <span class="s" style="color: #d14;">"""</span></span>
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979
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<pre style="margin: 0;">+<span id="LC979" class="line" lang="python"><span class="s" style="color: #d14;"> Determine the names of all columns that link to another DynamicTable, i.e.,</span></span>
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<pre style="margin: 0;">+<span id="LC980" class="line" lang="python"><span class="s" style="color: #d14;"> find all DynamicTableRegion type columns. Similar to a foreign key in a</span></span>
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<pre style="margin: 0;">+<span id="LC981" class="line" lang="python"><span class="s" style="color: #d14;"> database, a DynamicTableRegion column references elements in another table.</span></span>
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<pre style="margin: 0;">+<span id="LC982" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC983" class="line" lang="python"><span class="s" style="color: #d14;"> :returns: List of strings with the column names</span></span>
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<pre style="margin: 0;">+<span id="LC984" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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<pre style="margin: 0;">+<span id="LC985" class="line" lang="python"> <span class="n" style="color: #333;">col_names</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[]</span></span>
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<pre style="margin: 0;">+<span id="LC986" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">col_index</span><span class="p">,</span> <span class="n" style="color: #333;">col</span> <span class="ow" style="font-weight: 600;">in</span> <span class="nb" style="color: #0086b3;">enumerate</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC987" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">col</span><span class="p">,</span> <span class="n" style="color: #333;">DynamicTableRegion</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC988" class="line" lang="python"> <span class="n" style="color: #333;">col_names</span><span class="p">.</span><span class="n" style="color: #333;">append</span><span class="p">(</span><span class="n" style="color: #333;">col</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="LC989" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="n" style="color: #333;">col_names</span></span>
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<pre style="margin: 0;">+<span id="LC990" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC991" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">has_foreign_columns</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC992" class="line" lang="python"> <span class="s" style="color: #d14;">"""</span></span>
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<pre style="margin: 0;">+<span id="LC993" class="line" lang="python"><span class="s" style="color: #d14;"> Does the table contain DynamicTableRegion columns</span></span>
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<pre style="margin: 0;">+<span id="LC994" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC995" class="line" lang="python"><span class="s" style="color: #d14;"> :returns: True if the table contains a DynamicTableRegion column, else False</span></span>
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<pre style="margin: 0;">+<span id="LC996" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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<pre style="margin: 0;">+<span id="LC997" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">col_index</span><span class="p">,</span> <span class="n" style="color: #333;">col</span> <span class="ow" style="font-weight: 600;">in</span> <span class="nb" style="color: #0086b3;">enumerate</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC998" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">col</span><span class="p">,</span> <span class="n" style="color: #333;">DynamicTableRegion</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC999" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="bp" style="color: #999;">True</span></span>
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<pre style="margin: 0;">+<span id="LC1000" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="bp" style="color: #999;">False</span></span>
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1001
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<pre style="margin: 0;">+<span id="LC1001" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC1002" class="line" lang="python"> <span class="o" style="font-weight: 600;">@</span><span class="n" style="color: #333;">docval</span><span class="p">({</span><span class="s" style="color: #d14;">'name'</span><span class="p">:</span> <span class="s" style="color: #d14;">'other_tables'</span><span class="p">,</span> <span class="s" style="color: #d14;">'type'</span><span class="p">:</span> <span class="p">(</span><span class="nb" style="color: #0086b3;">list</span><span class="p">,</span> <span class="nb" style="color: #0086b3;">tuple</span><span class="p">,</span> <span class="nb" style="color: #0086b3;">set</span><span class="p">),</span></span>
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<pre style="margin: 0;">+<span id="LC1003" class="line" lang="python"> <span class="s" style="color: #d14;">'doc'</span><span class="p">:</span> <span class="s" style="color: #d14;">"List of additional tables to consider in the search. Usually this "</span></span>
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<pre style="margin: 0;">+<span id="LC1004" class="line" lang="python"> <span class="s" style="color: #d14;">"parameter is used for internal purposes, e.g., when we need to "</span></span>
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<pre style="margin: 0;">+<span id="LC1005" class="line" lang="python"> <span class="s" style="color: #d14;">"consider AlignedDynamicTable"</span><span class="p">,</span> <span class="s" style="color: #d14;">'default'</span><span class="p">:</span> <span class="bp" style="color: #999;">None</span><span class="p">},</span></span>
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1006
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<pre style="margin: 0;">+<span id="LC1006" class="line" lang="python"> <span class="n" style="color: #333;">allow_extra</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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1007
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<pre style="margin: 0;">+<span id="LC1007" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">get_linked_tables</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">,</span> <span class="o" style="font-weight: 600;">**</span><span class="n" style="color: #333;">kwargs</span><span class="p">):</span></span>
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1008
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<pre style="margin: 0;">+<span id="LC1008" class="line" lang="python"> <span class="s" style="color: #d14;">"""</span></span>
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1009
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<pre style="margin: 0;">+<span id="LC1009" class="line" lang="python"><span class="s" style="color: #d14;"> Get a list of the full list of all tables that are being linked to directly or indirectly</span></span>
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1010
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<pre style="margin: 0;">+<span id="LC1010" class="line" lang="python"><span class="s" style="color: #d14;"> from this table via foreign DynamicTableColumns included in this table or in any table that</span></span>
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1011
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<pre style="margin: 0;">+<span id="LC1011" class="line" lang="python"><span class="s" style="color: #d14;"> can be reached through DynamicTableRegion columns</span></span>
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1012
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<pre style="margin: 0;">+<span id="LC1012" class="line" lang="python"></span>
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1013
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<pre style="margin: 0;">+<span id="LC1013" class="line" lang="python"><span class="s" style="color: #d14;"> Returns: List of NamedTuple objects with:</span></span>
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1014
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<pre style="margin: 0;">+<span id="LC1014" class="line" lang="python"><span class="s" style="color: #d14;"> * 'source_table' : The source table containing the DynamicTableRegion column</span></span>
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1015
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<pre style="margin: 0;">+<span id="LC1015" class="line" lang="python"><span class="s" style="color: #d14;"> * 'source_column' : The relevant DynamicTableRegion column in the 'source_table'</span></span>
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1016
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<pre style="margin: 0;">+<span id="LC1016" class="line" lang="python"><span class="s" style="color: #d14;"> * 'target_table' : The target DynamicTable; same as source_column.table.</span></span>
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1017
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<pre style="margin: 0;">+<span id="LC1017" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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1018
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<pre style="margin: 0;">+<span id="LC1018" class="line" lang="python"> <span class="n" style="color: #333;">link_type</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">NamedTuple</span><span class="p">(</span><span class="s" style="color: #d14;">'DynamicTableLink'</span><span class="p">,</span></span>
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1019
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<pre style="margin: 0;">+<span id="LC1019" class="line" lang="python"> <span class="p">[(</span><span class="s" style="color: #d14;">'source_table'</span><span class="p">,</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">),</span></span>
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1020
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<pre style="margin: 0;">+<span id="LC1020" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'source_column'</span><span class="p">,</span> <span class="n" style="color: #333;">Union</span><span class="p">[</span><span class="n" style="color: #333;">DynamicTableRegion</span><span class="p">,</span> <span class="n" style="color: #333;">VectorIndex</span><span class="p">]),</span></span>
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1021
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<pre style="margin: 0;">+<span id="LC1021" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'target_table'</span><span class="p">,</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">)])</span></span>
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1022
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<pre style="margin: 0;">+<span id="LC1022" class="line" lang="python"> <span class="n" style="color: #333;">curr_tables</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[</span><span class="bp" style="color: #999;">self</span><span class="p">,</span> <span class="p">]</span> <span class="c1" style="color: #998; font-style: italic;"># Set of tables</span></span>
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1023
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<pre style="margin: 0;">+<span id="LC1023" class="line" lang="python"> <span class="n" style="color: #333;">other_tables</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">getargs</span><span class="p">(</span><span class="s" style="color: #d14;">'other_tables'</span><span class="p">,</span> <span class="n" style="color: #333;">kwargs</span><span class="p">)</span></span>
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1024
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<pre style="margin: 0;">+<span id="LC1024" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">other_tables</span> <span class="ow" style="font-weight: 600;">is</span> <span class="ow" style="font-weight: 600;">not</span> <span class="bp" style="color: #999;">None</span><span class="p">:</span></span>
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1025
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<pre style="margin: 0;">+<span id="LC1025" class="line" lang="python"> <span class="n" style="color: #333;">curr_tables</span> <span class="o" style="font-weight: 600;">+=</span> <span class="n" style="color: #333;">other_tables</span></span>
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1026
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<pre style="margin: 0;">+<span id="LC1026" class="line" lang="python"> <span class="n" style="color: #333;">curr_index</span> <span class="o" style="font-weight: 600;">=</span> <span class="mi" style="color: #099;">0</span></span>
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1027
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<pre style="margin: 0;">+<span id="LC1027" class="line" lang="python"> <span class="n" style="color: #333;">foreign_cols</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[]</span></span>
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1028
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<pre style="margin: 0;">+<span id="LC1028" class="line" lang="python"> <span class="k" style="font-weight: 600;">while</span> <span class="n" style="color: #333;">curr_index</span> <span class="o" style="font-weight: 600;"><</span> <span class="nb" style="color: #0086b3;">len</span><span class="p">(</span><span class="n" style="color: #333;">curr_tables</span><span class="p">):</span></span>
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1029
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<pre style="margin: 0;">+<span id="LC1029" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">col_index</span><span class="p">,</span> <span class="n" style="color: #333;">col</span> <span class="ow" style="font-weight: 600;">in</span> <span class="nb" style="color: #0086b3;">enumerate</span><span class="p">(</span><span class="n" style="color: #333;">curr_tables</span><span class="p">[</span><span class="n" style="color: #333;">curr_index</span><span class="p">].</span><span class="n" style="color: #333;">columns</span><span class="p">):</span></span>
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1030
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<pre style="margin: 0;">+<span id="LC1030" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">col</span><span class="p">,</span> <span class="n" style="color: #333;">DynamicTableRegion</span><span class="p">):</span></span>
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<td class="new_line diff-line-num new" data-linenumber="1031" 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">
1031
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<pre style="margin: 0;">+<span id="LC1031" class="line" lang="python"> <span class="n" style="color: #333;">foreign_cols</span><span class="p">.</span><span class="n" style="color: #333;">append</span><span class="p">(</span><span class="n" style="color: #333;">link_type</span><span class="p">(</span><span class="n" style="color: #333;">source_table</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">curr_tables</span><span class="p">[</span><span class="n" style="color: #333;">curr_index</span><span class="p">],</span></span>
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1032
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<pre style="margin: 0;">+<span id="LC1032" class="line" lang="python"> <span class="n" style="color: #333;">source_column</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">col</span><span class="p">,</span></span>
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1033
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<pre style="margin: 0;">+<span id="LC1033" class="line" lang="python"> <span class="n" style="color: #333;">target_table</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">col</span><span class="p">.</span><span class="n" style="color: #333;">table</span><span class="p">))</span></span>
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1034
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<pre style="margin: 0;">+<span id="LC1034" class="line" lang="python"> <span class="n" style="color: #333;">curr_table_visited</span> <span class="o" style="font-weight: 600;">=</span> <span class="bp" style="color: #999;">False</span></span>
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1035
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<pre style="margin: 0;">+<span id="LC1035" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">t</span> <span class="ow" style="font-weight: 600;">in</span> <span class="n" style="color: #333;">curr_tables</span><span class="p">:</span></span>
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1036
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<pre style="margin: 0;">+<span id="LC1036" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">t</span> <span class="ow" style="font-weight: 600;">is</span> <span class="n" style="color: #333;">col</span><span class="p">.</span><span class="n" style="color: #333;">table</span><span class="p">:</span></span>
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1037
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<pre style="margin: 0;">+<span id="LC1037" class="line" lang="python"> <span class="n" style="color: #333;">curr_table_visited</span> <span class="o" style="font-weight: 600;">=</span> <span class="bp" style="color: #999;">True</span></span>
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1038
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<pre style="margin: 0;">+<span id="LC1038" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="ow" style="font-weight: 600;">not</span> <span class="n" style="color: #333;">curr_table_visited</span><span class="p">:</span></span>
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1039
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<pre style="margin: 0;">+<span id="LC1039" class="line" lang="python"> <span class="n" style="color: #333;">curr_tables</span><span class="p">.</span><span class="n" style="color: #333;">append</span><span class="p">(</span><span class="n" style="color: #333;">col</span><span class="p">.</span><span class="n" style="color: #333;">table</span><span class="p">)</span></span>
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1040
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<pre style="margin: 0;">+<span id="LC1040" class="line" lang="python"> <span class="n" style="color: #333;">curr_index</span> <span class="o" style="font-weight: 600;">+=</span> <span class="mi" style="color: #099;">1</span></span>
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1041
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<pre style="margin: 0;">+<span id="LC1041" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="n" style="color: #333;">foreign_cols</span></span>
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1042
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<pre style="margin: 0;">+<span id="LC1042" class="line" lang="python"></span>
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962
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1043
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<pre style="margin: 0;"> <span id="LC1043" class="line" lang="python"> <span class="o" style="font-weight: 600;">@</span><span class="n" style="color: #333;">docval</span><span class="p">({</span><span class="s" style="color: #d14;">'name'</span><span class="p">:</span> <span class="s" style="color: #d14;">'exclude'</span><span class="p">,</span> <span class="s" style="color: #d14;">'type'</span><span class="p">:</span> <span class="nb" style="color: #0086b3;">set</span><span class="p">,</span> <span class="s" style="color: #d14;">'doc'</span><span class="p">:</span> <span class="s" style="color: #d14;">'Set of column names to exclude from the dataframe'</span><span class="p">,</span></span>
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963
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1044
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<pre style="margin: 0;"> <span id="LC1044" class="line" lang="python"> <span class="s" style="color: #d14;">'default'</span><span class="p">:</span> <span class="bp" style="color: #999;">None</span><span class="p">},</span></span>
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964
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1045
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<pre style="margin: 0;"> <span id="LC1045" class="line" lang="python"> <span class="p">{</span><span class="s" style="color: #d14;">'name'</span><span class="p">:</span> <span class="s" style="color: #d14;">'index'</span><span class="p">,</span> <span class="s" style="color: #d14;">'type'</span><span class="p">:</span> <span class="nb" style="color: #0086b3;">bool</span><span class="p">,</span></span>
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<td class="diff-line-num unfold js-unfold old_line" data-linenumber="1127" 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="1208" 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">@@ -1127,12 +1208,20 @@ class DynamicTableRegion(VectorData):</td>
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1127
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1208
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<pre style="margin: 0;"> <span id="LC1208" class="line" lang="python"> <span class="s" style="color: #d14;">"""</span></span>
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1128
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1209
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<pre style="margin: 0;"> <span id="LC1209" class="line" lang="python"><span class="s" style="color: #d14;"> Subset the DynamicTableRegion</span></span>
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1129
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1210
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<pre style="margin: 0;"> <span id="LC1210" class="line" lang="python"></span>
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1130
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<pre style="margin: 0;">-<span id="LC1130" class="line" lang="python"><span class="s" style="color: #d14;"> :param arg: 1) tuple consisting of (str, int) where the string defines the column to select</span></span>
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1131
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<pre style="margin: 0;">-<span id="LC1131" class="line" lang="python"><span class="s" style="color: #d14;"> and the int selects the row, 2) int or slice to select a subset of rows</span></span>
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1211
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<pre style="margin: 0;">+<span id="LC1211" class="line" lang="python"><span class="s" style="color: #d14;"> :param arg: Key defining which elements of the table to select. This may be one of the following:</span></span>
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1212
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<pre style="margin: 0;">+<span id="LC1212" class="line" lang="python"></span>
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1213
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<pre style="margin: 0;">+<span id="LC1213" class="line" lang="python"><span class="s" style="color: #d14;"> 1) string with the name of the column to select</span></span>
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<pre style="margin: 0;">+<span id="LC1214" class="line" lang="python"><span class="s" style="color: #d14;"> 2) a tuple consisting of (int, str) where the int selects the row and the string identifies the</span></span>
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1215
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<pre style="margin: 0;">+<span id="LC1215" class="line" lang="python"><span class="s" style="color: #d14;"> column to select by name</span></span>
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<pre style="margin: 0;">+<span id="LC1216" class="line" lang="python"><span class="s" style="color: #d14;"> 3) int, list of ints, array, or slice selecting a set of full rows in the table. If an int is used, then</span></span>
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<pre style="margin: 0;">+<span id="LC1217" class="line" lang="python"><span class="s" style="color: #d14;"> scalars are returned for each column that has a single value. If a list, array, or slice is used and</span></span>
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<pre style="margin: 0;">+<span id="LC1218" class="line" lang="python"><span class="s" style="color: #d14;"> df=False, then lists are returned for each column, even if the list, array, or slice resolves to a</span></span>
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1219
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<pre style="margin: 0;">+<span id="LC1219" class="line" lang="python"><span class="s" style="color: #d14;"> single row.</span></span>
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1220
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<pre style="margin: 0;">+<span id="LC1220" class="line" lang="python"></span>
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1132
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1221
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<pre style="margin: 0;"> <span id="LC1221" class="line" lang="python"><span class="s" style="color: #d14;"> :param index: Boolean indicating whether to return indices of the DTR (default False)</span></span>
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1133
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1222
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<pre style="margin: 0;"> <span id="LC1222" class="line" lang="python"><span class="s" style="color: #d14;"> :param df: Boolean indicating whether to return the result as a pandas DataFrame (default True)</span></span>
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1223
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<pre style="margin: 0;"> <span id="LC1223" class="line" lang="python"></span>
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<pre style="margin: 0;">-<span id="LC1135" class="line" lang="python"><span class="s" style="color: #d14;"> :return: Result from self.table[...<span class="idiff left right">.</span>] with the appropriate selection based on the</span></span>
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1224
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<pre style="margin: 0;">+<span id="LC1224" class="line" lang="python"><span class="s" style="color: #d14;"> :return: Result from self.table[...] with the appropriate selection based on the</span></span>
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1136
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1225
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<pre style="margin: 0;"> <span id="LC1225" class="line" lang="python"><span class="s" style="color: #d14;"> rows selected by this DynamicTableRegion</span></span>
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<pre style="margin: 0;"> <span id="LC1226" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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<pre style="margin: 0;"> <span id="LC1227" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="ow" style="font-weight: 600;">not</span> <span class="n" style="color: #333;">df</span> <span class="ow" style="font-weight: 600;">and</span> <span class="ow" style="font-weight: 600;">not</span> <span class="n" style="color: #333;">index</span><span class="p">:</span></span>
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<td class="diff-line-num unfold js-unfold old_line" data-linenumber="1144" 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">@@ -1144,6 +1233,8 @@ class DynamicTableRegion(VectorData):</td>
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1144
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<pre style="margin: 0;"> <span id="LC1233" class="line" lang="python"> <span class="n" style="color: #333;">arg1</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">arg</span><span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">]</span></span>
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1145
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1234
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<pre style="margin: 0;"> <span id="LC1234" class="line" lang="python"> <span class="n" style="color: #333;">arg2</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">arg</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">]</span></span>
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1146
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<pre style="margin: 0;"> <span id="LC1235" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table</span><span class="p">[</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">data</span><span class="p">[</span><span class="n" style="color: #333;">arg1</span><span class="p">],</span> <span class="n" style="color: #333;">arg2</span><span class="p">]</span></span>
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1236
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<pre style="margin: 0;">+<span id="LC1236" class="line" lang="python"> <span class="k" style="font-weight: 600;">elif</span> <span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">arg</span><span class="p">,</span> <span class="nb" style="color: #0086b3;">str</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC1237" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table</span><span class="p">[</span><span class="n" style="color: #333;">arg</span><span class="p">]</span></span>
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1147
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1238
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<pre style="margin: 0;"> <span id="LC1238" class="line" lang="python"> <span class="k" style="font-weight: 600;">elif</span> <span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">issubdtype</span><span class="p">(</span><span class="nb" style="color: #0086b3;">type</span><span class="p">(</span><span class="n" style="color: #333;">arg</span><span class="p">),</span> <span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">integer</span><span class="p">):</span></span>
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1148
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1239
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<pre style="margin: 0;"> <span id="LC1239" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="n" style="color: #333;">arg</span> <span class="o" style="font-weight: 600;">>=</span> <span class="nb" style="color: #0086b3;">len</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">data</span><span class="p">):</span></span>
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<pre style="margin: 0;"> <span id="LC1240" class="line" lang="python"> <span class="k" style="font-weight: 600;">raise</span> <span class="nb" style="color: #0086b3;">IndexError</span><span class="p">(</span><span class="s" style="color: #d14;">'index {} out of bounds for data of length {}'</span><span class="p">.</span><span class="nb" style="color: #0086b3;">format</span><span class="p">(</span><span class="n" style="color: #333;">arg</span><span class="p">,</span> <span class="nb" style="color: #0086b3;">len</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">data</span><span class="p">)))</span></span>
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<a href="https://salsa.debian.org/med-team/hdmf/-/compare/ddbbea37b32c87d9b9ad4bb70566aa2f108798ea...11cc62d7b77a1ebd5519b708637ca24d6ab8d874#2a76da16cee01b911e7b8f80de692659b7dd9a4d"><strong>src/hdmf/container.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">@@ -550,6 +550,12 @@ class Data(AbstractContainer):</td>
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<pre style="margin: 0;"> <span id="LC550" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">__data</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">append_data</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">__data</span><span class="p">,</span> <span class="n" style="color: #333;">arg</span><span class="p">)</span></span>
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<pre style="margin: 0;"> <span id="LC551" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC552" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">extend</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">,</span> <span class="n" style="color: #333;">arg</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC553" class="line" lang="python"> <span class="s" style="color: #d14;">"""</span></span>
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<pre style="margin: 0;">+<span id="LC554" class="line" lang="python"><span class="s" style="color: #d14;"> The extend_data method adds all the elements of the iterable arg to the</span></span>
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<pre style="margin: 0;">+<span id="LC555" class="line" lang="python"><span class="s" style="color: #d14;"> end of the data of this Data container.</span></span>
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<pre style="margin: 0;">+<span id="LC556" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC557" class="line" lang="python"><span class="s" style="color: #d14;"> :param arg: The iterable to add to the end of this VectorData</span></span>
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<pre style="margin: 0;">+<span id="LC558" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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<pre style="margin: 0;"> <span id="LC559" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">__data</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">extend_data</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">__data</span><span class="p">,</span> <span class="n" style="color: #333;">arg</span><span class="p">)</span></span>
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<pre style="margin: 0;"> <span id="LC560" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC561" class="line" lang="python"></span>
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<a href="https://salsa.debian.org/med-team/hdmf/-/compare/ddbbea37b32c87d9b9ad4bb70566aa2f108798ea...11cc62d7b77a1ebd5519b708637ca24d6ab8d874#8c1ec63171f0d8cb8ec37f8509aa9a305c4b7a66"><strong>src/hdmf/data_utils.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">@@ -27,6 +27,11 @@ def append_data(data, arg):</td>
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<pre style="margin: 0;"> <span id="LC27" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC28" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC29" class="line" lang="python"><span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">extend_data</span><span class="p">(</span><span class="n" style="color: #333;">data</span><span class="p">,</span> <span class="n" style="color: #333;">arg</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC30" class="line" lang="python"> <span class="s" style="color: #d14;">"""Add all the elements of the iterable arg to the end of data.</span></span>
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<pre style="margin: 0;">+<span id="LC31" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC32" class="line" lang="python"><span class="s" style="color: #d14;"> :param data: The array to extend</span></span>
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<pre style="margin: 0;">+<span id="LC33" class="line" lang="python"><span class="s" style="color: #d14;"> :type data: list, DataIO, np.ndarray, h5py.Dataset</span></span>
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<pre style="margin: 0;">+<span id="LC34" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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<pre style="margin: 0;"> <span id="LC35" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="nb" style="color: #0086b3;">isinstance</span><span class="p">(</span><span class="n" style="color: #333;">data</span><span class="p">,</span> <span class="p">(</span><span class="nb" style="color: #0086b3;">list</span><span class="p">,</span> <span class="n" style="color: #333;">DataIO</span><span class="p">)):</span></span>
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<pre style="margin: 0;"> <span id="LC36" class="line" lang="python"> <span class="n" style="color: #333;">data</span><span class="p">.</span><span class="n" style="color: #333;">extend</span><span class="p">(</span><span class="n" style="color: #333;">arg</span><span class="p">)</span></span>
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<pre style="margin: 0;"> <span id="LC37" class="line" lang="python"> <span class="k" style="font-weight: 600;">return</span> <span class="n" style="color: #333;">data</span></span>
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<a href="https://salsa.debian.org/med-team/hdmf/-/compare/ddbbea37b32c87d9b9ad4bb70566aa2f108798ea...11cc62d7b77a1ebd5519b708637ca24d6ab8d874#b1da35ef4ea4f113395eb2286261ed082f8addc0"><strong>src/hdmf/utils.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">@@ -492,6 +492,8 @@ def docval(*validator, **options): # noqa: C901</td>
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<pre style="margin: 0;"> <span id="LC492" class="line" lang="python"><span class="s" style="color: #d14;"> :param is_method: True if this is decorating an instance or class method, False otherwise (Default=True)</span></span>
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493
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<pre style="margin: 0;"> <span id="LC493" class="line" lang="python"><span class="s" style="color: #d14;"> :param enforce_shape: Enforce the dimensions of input arrays (Default=True)</span></span>
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494
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<pre style="margin: 0;"> <span id="LC494" class="line" lang="python"><span class="s" style="color: #d14;"> :param validator: :py:func:`dict` objects specifying the method parameters</span></span>
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<pre style="margin: 0;">+<span id="LC495" class="line" lang="python"><span class="s" style="color: #d14;"> :param allow_extra: Allow extra arguments (Default=False)</span></span>
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<pre style="margin: 0;">+<span id="LC496" class="line" lang="python"><span class="s" style="color: #d14;"> :param allow_positional: Allow positional arguments (Default=True)</span></span>
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<pre style="margin: 0;"> <span id="LC497" class="line" lang="python"><span class="s" style="color: #d14;"> :param options: additional options for documenting and validating method parameters</span></span>
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<pre style="margin: 0;"> <span id="LC498" class="line" lang="python"><span class="s" style="color: #d14;"> '''</span></span>
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<pre style="margin: 0;"> <span id="LC499" class="line" lang="python"> <span class="n" style="color: #333;">enforce_type</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">options</span><span class="p">.</span><span class="n" style="color: #333;">pop</span><span class="p">(</span><span class="s" style="color: #d14;">'enforce_type'</span><span class="p">,</span> <span class="bp" style="color: #999;">True</span><span class="p">)</span></span>
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<a href="https://salsa.debian.org/med-team/hdmf/-/compare/ddbbea37b32c87d9b9ad4bb70566aa2f108798ea...11cc62d7b77a1ebd5519b708637ca24d6ab8d874#3bc9b102df37f0750e782b9e65e16aefcc7e4f10"><strong>tests/unit/common/test_alignedtable.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">@@ -3,13 +3,19 @@ from pandas.testing import assert_frame_equal</td>
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<pre style="margin: 0;"> <span id="LC3" class="line" lang="python"><span class="kn" style="font-weight: 600;">import</span> <span class="nn" style="color: #555;">warnings</span></span>
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4
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4
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<pre style="margin: 0;"> <span id="LC4" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC5" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">hdmf.backends.hdf5</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">HDF5IO</span></span>
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<pre style="margin: 0;">-<span id="LC6" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">hdmf.common</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">,</span> <span class="n" style="color: #333;">VectorData</span><span class="p">,</span> <span class="n" style="color: #333;">get_manager</span><span class="p">,</span> <span class="n" style="color: #333;">AlignedDynamicTable</span></span>
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<pre style="margin: 0;">+<span id="LC6" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">hdmf.common</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">,</span> <span class="n" style="color: #333;">VectorData</span><span class="p">,</span> <span class="n" style="color: #333;">get_manager</span><span class="p">,</span> <span class="n" style="color: #333;">AlignedDynamicTable</span><span class="p"><span class="idiff left">,</span></span><span class="idiff"> </span><span class="n" style="color: #333;"><span class="idiff right">DynamicTableRegion</span></span></span>
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<pre style="margin: 0;"> <span id="LC7" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">hdmf.testing</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">TestCase</span><span class="p">,</span> <span class="n" style="color: #333;">remove_test_file</span></span>
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<pre style="margin: 0;"> <span id="LC8" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC9" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC10" class="line" lang="python"><span class="k" style="font-weight: 600;">class</span> <span class="nc" style="color: #458; font-weight: 600;">TestAlignedDynamicTableContainer</span><span class="p">(</span><span class="n" style="color: #333;">TestCase</span><span class="p">):</span></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;"> Test the AlignedDynamicTable Container class.</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;"> NOTE: Functions specific to linked tables, specifically the:</span></span>
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<pre style="margin: 0;">+<span id="LC15" class="line" lang="python"><span class="s" style="color: #d14;"> * has_foreign_columns</span></span>
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<pre style="margin: 0;">+<span id="LC16" class="line" lang="python"><span class="s" style="color: #d14;"> * get_foreign_columns</span></span>
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<pre style="margin: 0;">+<span id="LC17" class="line" lang="python"><span class="s" style="color: #d14;"> * get_linked_tables</span></span>
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<pre style="margin: 0;">+<span id="LC18" class="line" lang="python"><span class="s" style="color: #d14;"> methods are tested in the test_linkedtables.TestLinkedAlignedDynamicTables class instead of here.</span></span>
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<pre style="margin: 0;"> <span id="LC19" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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<pre style="margin: 0;"> <span id="LC20" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">setUp</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;"> <span id="LC21" class="line" lang="python"> <span class="n" style="color: #333;">warnings</span><span class="p">.</span><span class="n" style="color: #333;">simplefilter</span><span class="p">(</span><span class="s" style="color: #d14;">"always"</span><span class="p">)</span> <span class="c1" style="color: #998; font-style: italic;"># Trigger all warnings</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">@@ -410,10 +416,22 @@ class TestAlignedDynamicTableContainer(TestCase):</td>
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<pre style="margin: 0;"> <span id="LC416" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">temp</span><span class="p">[</span><span class="s" style="color: #d14;">'test1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c1'</span><span class="p">][:].</span><span class="n" style="color: #333;">tolist</span><span class="p">(),</span> <span class="p">(</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="n" style="color: #333;">num_rows</span><span class="p">)</span> <span class="o" style="font-weight: 600;">+</span> <span class="mi" style="color: #099;">3</span><span class="p">).</span><span class="n" style="color: #333;">tolist</span><span class="p">())</span></span>
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<pre style="margin: 0;"> <span id="LC417" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Test getting a specific cell</span></span>
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<pre style="margin: 0;"> <span id="LC418" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="n" style="color: #333;">temp</span><span class="p">[</span><span class="bp" style="color: #999;">None</span><span class="p">,</span> <span class="s" style="color: #d14;">'main_c1'</span><span class="p">,</span> <span class="mi" style="color: #099;">1</span><span class="p">],</span> <span class="mi" style="color: #099;">3</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC419" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="n" style="color: #333;">temp</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="bp" style="color: #999;">None</span><span class="p">,</span> <span class="s" style="color: #d14;">'main_c1'</span><span class="p">],</span> <span class="mi" style="color: #099;">3</span><span class="p">)</span></span>
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<pre style="margin: 0;"> <span id="LC420" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Test bad selection tuple</span></span>
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<pre style="margin: 0;"> <span id="LC421" class="line" lang="python"> <span class="k" style="font-weight: 600;">with</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertRaisesWith</span><span class="p">(</span><span class="nb" style="color: #0086b3;">ValueError</span><span class="p">,</span></span>
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<pre style="margin: 0;">-<span id="LC415" class="line" lang="python"> <span class="s" style="color: #d14;">"Expected tuple of length 2 or 3 with (category, column, row) as value."</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC422" class="line" lang="python"> <span class="s" style="color: #d14;">"Expected tuple of length 2 of the form [category, column], [row, category], "</span></span>
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<pre style="margin: 0;">+<span id="LC423" class="line" lang="python"> <span class="s" style="color: #d14;">"[row, (category, column)] or a tuple of length 3 of the form "</span></span>
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<pre style="margin: 0;">+<span id="LC424" class="line" lang="python"> <span class="s" style="color: #d14;">"[category, column, row], [row, category, column]"</span><span class="p">):</span></span>
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<pre style="margin: 0;"> <span id="LC425" class="line" lang="python"> <span class="n" style="color: #333;">temp</span><span class="p">[(</span><span class="s" style="color: #d14;">'main_c1'</span><span class="p">,)]</span></span>
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<pre style="margin: 0;">+<span id="LC426" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Test selecting a single cell or row of a category table by having a</span></span>
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<pre style="margin: 0;">+<span id="LC427" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># [int, str] or [int, (str, str)] type selection</span></span>
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<pre style="margin: 0;">+<span id="LC428" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Select row 0 from category 'test1'</span></span>
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429
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<pre style="margin: 0;">+<span id="LC429" class="line" lang="python"> <span class="n" style="color: #333;">re</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">temp</span><span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">,</span> <span class="s" style="color: #d14;">'test1'</span><span class="p">]</span></span>
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<pre style="margin: 0;">+<span id="LC430" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">re</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">.</span><span class="n" style="color: #333;">to_list</span><span class="p">(),</span> <span class="p">[</span><span class="s" style="color: #d14;">'id'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c2'</span><span class="p">])</span></span>
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431
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<pre style="margin: 0;">+<span id="LC431" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">re</span><span class="p">.</span><span class="n" style="color: #333;">index</span><span class="p">.</span><span class="n" style="color: #333;">names</span><span class="p">,</span> <span class="p">[(</span><span class="s" style="color: #d14;">'test_aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">)])</span></span>
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<pre style="margin: 0;">+<span id="LC432" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">re</span><span class="p">.</span><span class="n" style="color: #333;">values</span><span class="p">.</span><span class="n" style="color: #333;">tolist</span><span class="p">()[</span><span class="mi" style="color: #099;">0</span><span class="p">],</span> <span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">,</span> <span class="mi" style="color: #099;">3</span><span class="p">,</span> <span class="mi" style="color: #099;">4</span><span class="p">])</span></span>
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<pre style="margin: 0;">+<span id="LC433" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Select a single cell from a columm</span></span>
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<pre style="margin: 0;">+<span id="LC434" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="n" style="color: #333;">temp</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'test_aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'main_c1'</span><span class="p">)],</span> <span class="mi" style="color: #099;">3</span><span class="p">)</span></span>
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<pre style="margin: 0;"> <span id="LC435" class="line" lang="python"></span>
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<pre style="margin: 0;"> <span id="LC436" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_to_dataframe</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;"> <span id="LC437" class="line" lang="python"> <span class="s" style="color: #d14;">"""Test that the to_dataframe method works"""</span></span>
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<td class="diff-line-num unfold js-unfold old_line" data-linenumber="497" 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">@@ -497,3 +515,74 @@ class TestAlignedDynamicTableContainer(TestCase):</td>
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515
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<pre style="margin: 0;"> <span id="LC515" class="line" lang="python"> <span class="n" style="color: #333;">msg</span> <span class="o" style="font-weight: 600;">=</span> <span class="s" style="color: #d14;">"Category is an AlignedDynamicTable. Nesting of AlignedDynamicTable is currently not supported."</span></span>
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498
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516
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<pre style="margin: 0;"> <span id="LC516" class="line" lang="python"> <span class="k" style="font-weight: 600;">with</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertRaisesWith</span><span class="p">(</span><span class="nb" style="color: #0086b3;">ValueError</span><span class="p">,</span> <span class="n" style="color: #333;">msg</span><span class="p">):</span></span>
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517
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<pre style="margin: 0;"> <span id="LC517" class="line" lang="python"> <span class="n" style="color: #333;">adt</span><span class="p">.</span><span class="n" style="color: #333;">add_category</span><span class="p">(</span><span class="n" style="color: #333;">adt_category</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC518" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC519" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_dynamictable_region_to_aligneddynamictable</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC520" class="line" lang="python"> <span class="s" style="color: #d14;">"""</span></span>
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<pre style="margin: 0;">+<span id="LC521" class="line" lang="python"><span class="s" style="color: #d14;"> Test to ensure data is being retrieved correctly when pointing to an AlignedDynamicTable.</span></span>
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<pre style="margin: 0;">+<span id="LC522" class="line" lang="python"><span class="s" style="color: #d14;"> In particular, make sure that all columns are being used, including those of the</span></span>
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<pre style="margin: 0;">+<span id="LC523" class="line" lang="python"><span class="s" style="color: #d14;"> category tables, not just the ones from the main table.</span></span>
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<pre style="margin: 0;">+<span id="LC524" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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<pre style="margin: 0;">+<span id="LC525" class="line" lang="python"> <span class="n" style="color: #333;">temp_table</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'t1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'t1'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC526" class="line" lang="python"> <span class="n" style="color: #333;">colnames</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c2'</span><span class="p">],</span></span>
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<pre style="margin: 0;">+<span id="LC527" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">)),</span></span>
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<pre style="margin: 0;">+<span id="LC528" class="line" lang="python"> <span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">))])</span></span>
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<pre style="margin: 0;">+<span id="LC529" class="line" lang="python"> <span class="n" style="color: #333;">temp_aligned_table</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">AlignedDynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'my_aligned_table'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC530" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'my test table'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC531" class="line" lang="python"> <span class="n" style="color: #333;">category_tables</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">temp_table</span><span class="p">],</span></span>
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<pre style="margin: 0;">+<span id="LC532" class="line" lang="python"> <span class="n" style="color: #333;">colnames</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'a1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'a2'</span><span class="p">],</span></span>
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<pre style="margin: 0;">+<span id="LC533" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'a1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">)),</span></span>
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<pre style="margin: 0;">+<span id="LC534" class="line" lang="python"> <span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'a2'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">))])</span></span>
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<pre style="margin: 0;">+<span id="LC535" class="line" lang="python"> <span class="n" style="color: #333;">dtr</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTableRegion</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'test'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'test'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">),</span> <span class="n" style="color: #333;">table</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">temp_aligned_table</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC536" class="line" lang="python"> <span class="n" style="color: #333;">dtr_df</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">dtr</span><span class="p">[:]</span></span>
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<pre style="margin: 0;">+<span id="LC537" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Full number of rows</span></span>
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<pre style="margin: 0;">+<span id="LC538" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="nb" style="color: #0086b3;">len</span><span class="p">(</span><span class="n" style="color: #333;">dtr_df</span><span class="p">),</span> <span class="mi" style="color: #099;">4</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC539" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Test num columns: 2 columns from the main table, 2 columns from the category, 1 id columns from the category</span></span>
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<pre style="margin: 0;">+<span id="LC540" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="nb" style="color: #0086b3;">len</span><span class="p">(</span><span class="n" style="color: #333;">dtr_df</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">),</span> <span class="mi" style="color: #099;">5</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC541" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Test that the data is correct</span></span>
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<pre style="margin: 0;">+<span id="LC542" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">i</span><span class="p">,</span> <span class="n" style="color: #333;">v</span> <span class="ow" style="font-weight: 600;">in</span> <span class="nb" style="color: #0086b3;">enumerate</span><span class="p">([(</span><span class="s" style="color: #d14;">'my_aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'a1'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'my_aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'a2'</span><span class="p">),</span></span>
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<pre style="margin: 0;">+<span id="LC543" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'t1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'t1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c1'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'t1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c2'</span><span class="p">)]):</span></span>
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<pre style="margin: 0;">+<span id="LC544" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertTupleEqual</span><span class="p">(</span><span class="n" style="color: #333;">dtr_df</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">[</span><span class="n" style="color: #333;">i</span><span class="p">],</span> <span class="n" style="color: #333;">v</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC545" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Test the column data</span></span>
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<pre style="margin: 0;">+<span id="LC546" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">c</span> <span class="ow" style="font-weight: 600;">in</span> <span class="n" style="color: #333;">dtr_df</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">:</span></span>
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<pre style="margin: 0;">+<span id="LC547" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">dtr_df</span><span class="p">[</span><span class="n" style="color: #333;">c</span><span class="p">].</span><span class="n" style="color: #333;">to_list</span><span class="p">(),</span> <span class="nb" style="color: #0086b3;">list</span><span class="p">(</span><span class="nb" style="color: #0086b3;">range</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">)))</span></span>
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<pre style="margin: 0;">+<span id="LC548" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC549" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_get_colnames</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC550" class="line" lang="python"> <span class="s" style="color: #d14;">"""</span></span>
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<pre style="margin: 0;">+<span id="LC551" class="line" lang="python"><span class="s" style="color: #d14;"> Test the AlignedDynamicTable.get_colnames function</span></span>
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<pre style="margin: 0;">+<span id="LC552" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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<pre style="margin: 0;">+<span id="LC553" class="line" lang="python"> <span class="n" style="color: #333;">category_names</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[</span><span class="s" style="color: #d14;">'test1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'test2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'test3'</span><span class="p">]</span></span>
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<pre style="margin: 0;">+<span id="LC554" class="line" lang="python"> <span class="n" style="color: #333;">num_rows</span> <span class="o" style="font-weight: 600;">=</span> <span class="mi" style="color: #099;">10</span></span>
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<pre style="margin: 0;">+<span id="LC555" class="line" lang="python"> <span class="n" style="color: #333;">categories</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[</span><span class="n" style="color: #333;">DynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">val</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC556" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">val</span><span class="o" style="font-weight: 600;">+</span><span class="s" style="color: #d14;">" description"</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC557" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">t</span><span class="p">,</span></span>
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558
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<pre style="margin: 0;">+<span id="LC558" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">val</span><span class="o" style="font-weight: 600;">+</span><span class="n" style="color: #333;">t</span><span class="o" style="font-weight: 600;">+</span><span class="s" style="color: #d14;">' description'</span><span class="p">,</span></span>
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559
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<pre style="margin: 0;">+<span id="LC559" class="line" lang="python"> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="n" style="color: #333;">num_rows</span><span class="p">))</span> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">t</span> <span class="ow" style="font-weight: 600;">in</span> <span class="p">[</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c3'</span><span class="p">]]</span></span>
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<pre style="margin: 0;">+<span id="LC560" class="line" lang="python"> <span class="p">)</span> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">val</span> <span class="ow" style="font-weight: 600;">in</span> <span class="n" style="color: #333;">category_names</span><span class="p">]</span></span>
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<pre style="margin: 0;">+<span id="LC561" class="line" lang="python"> <span class="n" style="color: #333;">adt</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">AlignedDynamicTable</span><span class="p">(</span></span>
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<pre style="margin: 0;">+<span id="LC562" class="line" lang="python"> <span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'test_aligned_table'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC563" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'Test aligned container'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC564" class="line" lang="python"> <span class="n" style="color: #333;">category_tables</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">categories</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC565" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</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="o" style="font-weight: 600;">+</span> <span class="n" style="color: #333;">t</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC566" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'main_'</span><span class="o" style="font-weight: 600;">+</span><span class="n" style="color: #333;">t</span><span class="o" style="font-weight: 600;">+</span><span class="s" style="color: #d14;">'_description'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC567" class="line" lang="python"> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="n" style="color: #333;">num_rows</span><span class="p">))</span> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">t</span> <span class="ow" style="font-weight: 600;">in</span> <span class="p">[</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c3'</span><span class="p">]])</span></span>
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<pre style="margin: 0;">+<span id="LC568" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Default, only get the colnames of the main table. Same as adt.colnames property</span></span>
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<pre style="margin: 0;">+<span id="LC569" class="line" lang="python"> <span class="n" style="color: #333;">expected_colnames</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">(</span><span class="s" style="color: #d14;">'main_c1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'main_c2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'main_c3'</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC570" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertTupleEqual</span><span class="p">(</span><span class="n" style="color: #333;">adt</span><span class="p">.</span><span class="n" style="color: #333;">get_colnames</span><span class="p">(),</span> <span class="n" style="color: #333;">expected_colnames</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC571" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Same as default because if we don't include the catgories than ignore_category_ids has no effect</span></span>
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<pre style="margin: 0;">+<span id="LC572" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertTupleEqual</span><span class="p">(</span><span class="n" style="color: #333;">adt</span><span class="p">.</span><span class="n" style="color: #333;">get_colnames</span><span class="p">(</span><span class="n" style="color: #333;">include_category_tables</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">False</span><span class="p">,</span> <span class="n" style="color: #333;">ignore_category_ids</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="LC573" class="line" lang="python"> <span class="n" style="color: #333;">expected_colnames</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC574" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Full set of columns</span></span>
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<pre style="margin: 0;">+<span id="LC575" class="line" lang="python"> <span class="n" style="color: #333;">expected_colnames</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[(</span><span class="s" style="color: #d14;">'test_aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'main_c1'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'test_aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'main_c2'</span><span class="p">),</span></span>
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<pre style="margin: 0;">+<span id="LC576" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'test_aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'main_c3'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'test1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'test1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c1'</span><span class="p">),</span></span>
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<pre style="margin: 0;">+<span id="LC577" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'test1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c2'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'test1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c3'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'test2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'test2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c1'</span><span class="p">),</span></span>
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<pre style="margin: 0;">+<span id="LC578" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'test2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c2'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'test2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c3'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'test3'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'test3'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c1'</span><span class="p">),</span></span>
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579
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<pre style="margin: 0;">+<span id="LC579" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'test3'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c2'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'test3'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c3'</span><span class="p">)]</span></span>
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<pre style="margin: 0;">+<span id="LC580" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">adt</span><span class="p">.</span><span class="n" style="color: #333;">get_colnames</span><span class="p">(</span><span class="n" style="color: #333;">include_category_tables</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">True</span><span class="p">,</span> <span class="n" style="color: #333;">ignore_category_ids</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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581
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<pre style="margin: 0;">+<span id="LC581" class="line" lang="python"> <span class="n" style="color: #333;">expected_colnames</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC582" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># All columns without the id columns of the category tables</span></span>
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<pre style="margin: 0;">+<span id="LC583" class="line" lang="python"> <span class="n" style="color: #333;">expected_colnames</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[(</span><span class="s" style="color: #d14;">'test_aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'main_c1'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'test_aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'main_c2'</span><span class="p">),</span></span>
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<pre style="margin: 0;">+<span id="LC584" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'test_aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'main_c3'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'test1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c1'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'test1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c2'</span><span class="p">),</span></span>
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<pre style="margin: 0;">+<span id="LC585" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'test1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c3'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'test2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c1'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'test2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c2'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'test2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c3'</span><span class="p">),</span></span>
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586
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<pre style="margin: 0;">+<span id="LC586" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'test3'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c1'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'test3'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c2'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'test3'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c3'</span><span class="p">)]</span></span>
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<pre style="margin: 0;">+<span id="LC587" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">adt</span><span class="p">.</span><span class="n" style="color: #333;">get_colnames</span><span class="p">(</span><span class="n" style="color: #333;">include_category_tables</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">True</span><span class="p">,</span> <span class="n" style="color: #333;">ignore_category_ids</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="LC588" class="line" lang="python"> <span class="n" style="color: #333;">expected_colnames</span><span class="p">)</span></span></pre>
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<a href="https://salsa.debian.org/med-team/hdmf/-/compare/ddbbea37b32c87d9b9ad4bb70566aa2f108798ea...11cc62d7b77a1ebd5519b708637ca24d6ab8d874#9d249fefbfd4491bea1356d44159d934c14702b7"><strong>tests/unit/common/test_linkedtables.py</strong></a>
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<pre style="margin: 0;">+<span id="LC1" class="line" lang="python"><span class="s" style="color: #d14;">"""</span></span>
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<pre style="margin: 0;">+<span id="LC2" class="line" lang="python"><span class="s" style="color: #d14;">Module for testing functions specific to tables containing DynamicTableRegion columns</span></span>
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<pre style="margin: 0;">+<span id="LC3" class="line" lang="python"><span class="s" style="color: #d14;">"""</span></span>
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<pre style="margin: 0;">+<span id="LC4" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC5" class="line" lang="python"><span class="kn" style="font-weight: 600;">import</span> <span class="nn" style="color: #555;">numpy</span> <span class="k" style="font-weight: 600;">as</span> <span class="n" style="color: #333;">np</span></span>
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6
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<pre style="margin: 0;">+<span id="LC6" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">hdmf.common</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">,</span> <span class="n" style="color: #333;">AlignedDynamicTable</span><span class="p">,</span> <span class="n" style="color: #333;">VectorData</span><span class="p">,</span> <span class="n" style="color: #333;">DynamicTableRegion</span><span class="p">,</span> <span class="n" style="color: #333;">VectorIndex</span></span>
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7
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<pre style="margin: 0;">+<span id="LC7" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">hdmf.testing</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">TestCase</span></span>
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8
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<pre style="margin: 0;">+<span id="LC8" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">hdmf.utils</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">docval</span><span class="p">,</span> <span class="n" style="color: #333;">popargs</span><span class="p">,</span> <span class="n" style="color: #333;">get_docval</span><span class="p">,</span> <span class="n" style="color: #333;">call_docval_func</span></span>
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<pre style="margin: 0;">+<span id="LC9" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">hdmf.common.hierarchicaltable</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">to_hierarchical_dataframe</span><span class="p">,</span> <span class="n" style="color: #333;">drop_id_columns</span><span class="p">,</span> <span class="n" style="color: #333;">flatten_column_index</span></span>
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<pre style="margin: 0;">+<span id="LC10" class="line" lang="python"><span class="kn" style="font-weight: 600;">from</span> <span class="nn" style="color: #555;">pandas.testing</span> <span class="kn" style="font-weight: 600;">import</span> <span class="n" style="color: #333;">assert_frame_equal</span></span>
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<pre style="margin: 0;">+<span id="LC11" class="line" lang="python"></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="LC13" class="line" lang="python"><span class="k" style="font-weight: 600;">class</span> <span class="nc" style="color: #458; font-weight: 600;">DynamicTableSingleDTR</span><span class="p">(</span><span class="n" style="color: #333;">DynamicTable</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC14" class="line" lang="python"> <span class="s" style="color: #d14;">"""Test table class that references a single foreign table"""</span></span>
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<pre style="margin: 0;">+<span id="LC15" class="line" lang="python"> <span class="n" style="color: #333;">__columns__</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">(</span></span>
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<pre style="margin: 0;">+<span id="LC16" class="line" lang="python"> <span class="p">{</span><span class="s" style="color: #d14;">'name'</span><span class="p">:</span> <span class="s" style="color: #d14;">'child_table_ref1'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC17" class="line" lang="python"> <span class="s" style="color: #d14;">'description'</span><span class="p">:</span> <span class="s" style="color: #d14;">'Column with a references to the next level in the hierarchy'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC18" class="line" lang="python"> <span class="s" style="color: #d14;">'required'</span><span class="p">:</span> <span class="bp" style="color: #999;">True</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC19" class="line" lang="python"> <span class="s" style="color: #d14;">'index'</span><span class="p">:</span> <span class="bp" style="color: #999;">True</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC20" class="line" lang="python"> <span class="s" style="color: #d14;">'table'</span><span class="p">:</span> <span class="bp" style="color: #999;">True</span><span class="p">},</span></span>
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<pre style="margin: 0;">+<span id="LC21" class="line" lang="python"> <span class="p">)</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="o" style="font-weight: 600;">@</span><span class="n" style="color: #333;">docval</span><span class="p">({</span><span class="s" style="color: #d14;">'name'</span><span class="p">:</span> <span class="s" style="color: #d14;">'name'</span><span class="p">,</span> <span class="s" style="color: #d14;">'type'</span><span class="p">:</span> <span class="nb" style="color: #0086b3;">str</span><span class="p">,</span> <span class="s" style="color: #d14;">'doc'</span><span class="p">:</span> <span class="s" style="color: #d14;">'The name of the table'</span><span class="p">},</span></span>
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<pre style="margin: 0;">+<span id="LC24" class="line" lang="python"> <span class="p">{</span><span class="s" style="color: #d14;">'name'</span><span class="p">:</span> <span class="s" style="color: #d14;">'child_table1'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC25" class="line" lang="python"> <span class="s" style="color: #d14;">'type'</span><span class="p">:</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC26" class="line" lang="python"> <span class="s" style="color: #d14;">'doc'</span><span class="p">:</span> <span class="s" style="color: #d14;">'the child DynamicTable this DynamicTableSingleDTR point to.'</span><span class="p">},</span></span>
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<pre style="margin: 0;">+<span id="LC27" class="line" lang="python"> <span class="o" style="font-weight: 600;">*</span><span class="n" style="color: #333;">get_docval</span><span class="p">(</span><span class="n" style="color: #333;">DynamicTable</span><span class="p">.</span><span class="n" style="color: #333;">__init__</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">,</span> <span class="s" style="color: #d14;">'columns'</span><span class="p">,</span> <span class="s" style="color: #d14;">'colnames'</span><span class="p">))</span></span>
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<pre style="margin: 0;">+<span id="LC28" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">__init__</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">,</span> <span class="o" style="font-weight: 600;">**</span><span class="n" style="color: #333;">kwargs</span><span class="p">):</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;"># Define default name and description settings</span></span>
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<pre style="margin: 0;">+<span id="LC30" class="line" lang="python"> <span class="n" style="color: #333;">kwargs</span><span class="p">[</span><span class="s" style="color: #d14;">'description'</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">(</span><span class="n" style="color: #333;">kwargs</span><span class="p">[</span><span class="s" style="color: #d14;">'name'</span><span class="p">]</span> <span class="o" style="font-weight: 600;">+</span> <span class="s" style="color: #d14;">" DynamicTableSingleDTR"</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC31" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Initialize the DynamicTable</span></span>
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<pre style="margin: 0;">+<span id="LC32" class="line" lang="python"> <span class="n" style="color: #333;">call_docval_func</span><span class="p">(</span><span class="nb" style="color: #0086b3;">super</span><span class="p">(</span><span class="n" style="color: #333;">DynamicTableSingleDTR</span><span class="p">,</span> <span class="bp" style="color: #999;">self</span><span class="p">).</span><span class="n" style="color: #333;">__init__</span><span class="p">,</span> <span class="n" style="color: #333;">kwargs</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC33" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="bp" style="color: #999;">self</span><span class="p">[</span><span class="s" style="color: #d14;">'child_table_ref1'</span><span class="p">].</span><span class="n" style="color: #333;">target</span><span class="p">.</span><span class="n" style="color: #333;">table</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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<pre style="margin: 0;">+<span id="LC34" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">[</span><span class="s" style="color: #d14;">'child_table_ref1'</span><span class="p">].</span><span class="n" style="color: #333;">target</span><span class="p">.</span><span class="n" style="color: #333;">table</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">popargs</span><span class="p">(</span><span class="s" style="color: #d14;">'child_table1'</span><span class="p">,</span> <span class="n" style="color: #333;">kwargs</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>
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<pre style="margin: 0;">+<span id="LC37" class="line" lang="python"><span class="k" style="font-weight: 600;">class</span> <span class="nc" style="color: #458; font-weight: 600;">DynamicTableMultiDTR</span><span class="p">(</span><span class="n" style="color: #333;">DynamicTable</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC38" class="line" lang="python"> <span class="s" style="color: #d14;">"""Test table class that references multiple related tables"""</span></span>
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<pre style="margin: 0;">+<span id="LC39" class="line" lang="python"> <span class="n" style="color: #333;">__columns__</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">(</span></span>
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<pre style="margin: 0;">+<span id="LC40" class="line" lang="python"> <span class="p">{</span><span class="s" style="color: #d14;">'name'</span><span class="p">:</span> <span class="s" style="color: #d14;">'child_table_ref1'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC41" class="line" lang="python"> <span class="s" style="color: #d14;">'description'</span><span class="p">:</span> <span class="s" style="color: #d14;">'Column with a references to the next level in the hierarchy'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC42" class="line" lang="python"> <span class="s" style="color: #d14;">'required'</span><span class="p">:</span> <span class="bp" style="color: #999;">True</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC43" class="line" lang="python"> <span class="s" style="color: #d14;">'index'</span><span class="p">:</span> <span class="bp" style="color: #999;">True</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC44" class="line" lang="python"> <span class="s" style="color: #d14;">'table'</span><span class="p">:</span> <span class="bp" style="color: #999;">True</span><span class="p">},</span></span>
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<pre style="margin: 0;">+<span id="LC45" class="line" lang="python"> <span class="p">{</span><span class="s" style="color: #d14;">'name'</span><span class="p">:</span> <span class="s" style="color: #d14;">'child_table_ref2'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC46" class="line" lang="python"> <span class="s" style="color: #d14;">'description'</span><span class="p">:</span> <span class="s" style="color: #d14;">'Column with a references to the next level in the hierarchy'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC47" class="line" lang="python"> <span class="s" style="color: #d14;">'required'</span><span class="p">:</span> <span class="bp" style="color: #999;">True</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC48" class="line" lang="python"> <span class="s" style="color: #d14;">'index'</span><span class="p">:</span> <span class="bp" style="color: #999;">True</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC49" class="line" lang="python"> <span class="s" style="color: #d14;">'table'</span><span class="p">:</span> <span class="bp" style="color: #999;">True</span><span class="p">},</span></span>
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<pre style="margin: 0;">+<span id="LC50" class="line" lang="python"> <span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC51" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC52" class="line" lang="python"> <span class="o" style="font-weight: 600;">@</span><span class="n" style="color: #333;">docval</span><span class="p">({</span><span class="s" style="color: #d14;">'name'</span><span class="p">:</span> <span class="s" style="color: #d14;">'name'</span><span class="p">,</span> <span class="s" style="color: #d14;">'type'</span><span class="p">:</span> <span class="nb" style="color: #0086b3;">str</span><span class="p">,</span> <span class="s" style="color: #d14;">'doc'</span><span class="p">:</span> <span class="s" style="color: #d14;">'The name of the table'</span><span class="p">},</span></span>
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<pre style="margin: 0;">+<span id="LC53" class="line" lang="python"> <span class="p">{</span><span class="s" style="color: #d14;">'name'</span><span class="p">:</span> <span class="s" style="color: #d14;">'child_table1'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC54" class="line" lang="python"> <span class="s" style="color: #d14;">'type'</span><span class="p">:</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC55" class="line" lang="python"> <span class="s" style="color: #d14;">'doc'</span><span class="p">:</span> <span class="s" style="color: #d14;">'the child DynamicTable this DynamicTableSingleDTR point to.'</span><span class="p">},</span></span>
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<pre style="margin: 0;">+<span id="LC56" class="line" lang="python"> <span class="p">{</span><span class="s" style="color: #d14;">'name'</span><span class="p">:</span> <span class="s" style="color: #d14;">'child_table2'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC57" class="line" lang="python"> <span class="s" style="color: #d14;">'type'</span><span class="p">:</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC58" class="line" lang="python"> <span class="s" style="color: #d14;">'doc'</span><span class="p">:</span> <span class="s" style="color: #d14;">'the child DynamicTable this DynamicTableSingleDTR point to.'</span><span class="p">},</span></span>
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<pre style="margin: 0;">+<span id="LC59" class="line" lang="python"> <span class="o" style="font-weight: 600;">*</span><span class="n" style="color: #333;">get_docval</span><span class="p">(</span><span class="n" style="color: #333;">DynamicTable</span><span class="p">.</span><span class="n" style="color: #333;">__init__</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">,</span> <span class="s" style="color: #d14;">'columns'</span><span class="p">,</span> <span class="s" style="color: #d14;">'colnames'</span><span class="p">))</span></span>
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<pre style="margin: 0;">+<span id="LC60" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">__init__</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">,</span> <span class="o" style="font-weight: 600;">**</span><span class="n" style="color: #333;">kwargs</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC61" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Define default name and description settings</span></span>
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<pre style="margin: 0;">+<span id="LC62" class="line" lang="python"> <span class="n" style="color: #333;">kwargs</span><span class="p">[</span><span class="s" style="color: #d14;">'description'</span><span class="p">]</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">(</span><span class="n" style="color: #333;">kwargs</span><span class="p">[</span><span class="s" style="color: #d14;">'name'</span><span class="p">]</span> <span class="o" style="font-weight: 600;">+</span> <span class="s" style="color: #d14;">" DynamicTableSingleDTR"</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC63" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Initialize the DynamicTable</span></span>
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<pre style="margin: 0;">+<span id="LC64" class="line" lang="python"> <span class="n" style="color: #333;">call_docval_func</span><span class="p">(</span><span class="nb" style="color: #0086b3;">super</span><span class="p">(</span><span class="n" style="color: #333;">DynamicTableMultiDTR</span><span class="p">,</span> <span class="bp" style="color: #999;">self</span><span class="p">).</span><span class="n" style="color: #333;">__init__</span><span class="p">,</span> <span class="n" style="color: #333;">kwargs</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;">if</span> <span class="bp" style="color: #999;">self</span><span class="p">[</span><span class="s" style="color: #d14;">'child_table_ref1'</span><span class="p">].</span><span class="n" style="color: #333;">target</span><span class="p">.</span><span class="n" style="color: #333;">table</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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<pre style="margin: 0;">+<span id="LC66" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">[</span><span class="s" style="color: #d14;">'child_table_ref1'</span><span class="p">].</span><span class="n" style="color: #333;">target</span><span class="p">.</span><span class="n" style="color: #333;">table</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">popargs</span><span class="p">(</span><span class="s" style="color: #d14;">'child_table1'</span><span class="p">,</span> <span class="n" style="color: #333;">kwargs</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC67" class="line" lang="python"> <span class="k" style="font-weight: 600;">if</span> <span class="bp" style="color: #999;">self</span><span class="p">[</span><span class="s" style="color: #d14;">'child_table_ref2'</span><span class="p">].</span><span class="n" style="color: #333;">target</span><span class="p">.</span><span class="n" style="color: #333;">table</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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<pre style="margin: 0;">+<span id="LC68" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">[</span><span class="s" style="color: #d14;">'child_table_ref2'</span><span class="p">].</span><span class="n" style="color: #333;">target</span><span class="p">.</span><span class="n" style="color: #333;">table</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">popargs</span><span class="p">(</span><span class="s" style="color: #d14;">'child_table2'</span><span class="p">,</span> <span class="n" style="color: #333;">kwargs</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC69" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC70" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC71" class="line" lang="python"><span class="k" style="font-weight: 600;">class</span> <span class="nc" style="color: #458; font-weight: 600;">TestLinkedAlignedDynamicTables</span><span class="p">(</span><span class="n" style="color: #333;">TestCase</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;">"""</span></span>
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<pre style="margin: 0;">+<span id="LC73" class="line" lang="python"><span class="s" style="color: #d14;"> Test functionality specific to AlignedDynamicTables containing DynamicTableRegion columns.</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="LC75" class="line" lang="python"><span class="s" style="color: #d14;"> Since these functions only implements front-end convenient functions for DynamicTable</span></span>
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<pre style="margin: 0;">+<span id="LC76" class="line" lang="python"><span class="s" style="color: #d14;"> we do not need to worry about I/O here (that is tested elsewere), but it is sufficient if</span></span>
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<pre style="margin: 0;">+<span id="LC77" class="line" lang="python"><span class="s" style="color: #d14;"> we test with container class. The only time I/O becomes relevant is on read in case that, e.g., a</span></span>
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<pre style="margin: 0;">+<span id="LC78" class="line" lang="python"><span class="s" style="color: #d14;"> h5py.Dataset may behave differently than a numpy array.</span></span>
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<pre style="margin: 0;">+<span id="LC79" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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<pre style="margin: 0;">+<span id="LC80" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">setUp</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC81" class="line" lang="python"> <span class="s" style="color: #d14;">"""</span></span>
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<pre style="margin: 0;">+<span id="LC82" class="line" lang="python"><span class="s" style="color: #d14;"> Create basic set of linked tables consisting of</span></span>
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<pre style="margin: 0;">+<span id="LC83" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC84" class="line" lang="python"><span class="s" style="color: #d14;"> aligned_table</span></span>
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<pre style="margin: 0;">+<span id="LC85" class="line" lang="python"><span class="s" style="color: #d14;"> |</span></span>
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<pre style="margin: 0;">+<span id="LC86" class="line" lang="python"><span class="s" style="color: #d14;"> +--> category0 ---> table_level_0_0</span></span>
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<pre style="margin: 0;">+<span id="LC87" class="line" lang="python"><span class="s" style="color: #d14;"> |</span></span>
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<pre style="margin: 0;">+<span id="LC88" class="line" lang="python"><span class="s" style="color: #d14;"> +--> category1 ---> table_level_0_1</span></span>
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<pre style="margin: 0;">+<span id="LC89" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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<pre style="margin: 0;">+<span id="LC90" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Level 0 0 table. I.e., first table on level 0</span></span>
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<pre style="margin: 0;">+<span id="LC91" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_0</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">"level0_0 DynamicTable"</span><span class="p">)</span></span>
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92
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<pre style="margin: 0;">+<span id="LC92" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_0</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">10</span><span class="p">)</span></span>
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93
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<pre style="margin: 0;">+<span id="LC93" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_0</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">11</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC94" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_0</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">12</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC95" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_0</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">13</span><span class="p">)</span></span>
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96
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<pre style="margin: 0;">+<span id="LC96" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_0</span><span class="p">.</span><span class="n" style="color: #333;">add_column</span><span class="p">(</span><span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'tag1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag3'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag4'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag5'</span><span class="p">],</span></span>
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97
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<pre style="margin: 0;">+<span id="LC97" class="line" lang="python"> <span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'tags'</span><span class="p">,</span></span>
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98
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<pre style="margin: 0;">+<span id="LC98" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'custom tags'</span><span class="p">,</span></span>
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99
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<pre style="margin: 0;">+<span id="LC99" class="line" lang="python"> <span class="n" style="color: #333;">index</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="mi" style="color: #099;">2</span><span class="p">,</span> <span class="mi" style="color: #099;">4</span><span class="p">,</span> <span class="mi" style="color: #099;">7</span><span class="p">])</span></span>
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100
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<pre style="margin: 0;">+<span id="LC100" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_0</span><span class="p">.</span><span class="n" style="color: #333;">add_column</span><span class="p">(</span><span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">),</span></span>
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101
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<pre style="margin: 0;">+<span id="LC101" class="line" lang="python"> <span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'myid'</span><span class="p">,</span></span>
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102
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<pre style="margin: 0;">+<span id="LC102" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'custom ids'</span><span class="p">,</span></span>
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103
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<pre style="margin: 0;">+<span id="LC103" class="line" lang="python"> <span class="n" style="color: #333;">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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104
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<pre style="margin: 0;">+<span id="LC104" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Level 0 1 table. I.e., second table on level 0</span></span>
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105
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<pre style="margin: 0;">+<span id="LC105" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_1</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'level0_1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">"level0_1 DynamicTable"</span><span class="p">)</span></span>
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106
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<pre style="margin: 0;">+<span id="LC106" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_1</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">14</span><span class="p">)</span></span>
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107
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<pre style="margin: 0;">+<span id="LC107" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_1</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">15</span><span class="p">)</span></span>
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108
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<pre style="margin: 0;">+<span id="LC108" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_1</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">16</span><span class="p">)</span></span>
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109
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<pre style="margin: 0;">+<span id="LC109" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_1</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">17</span><span class="p">)</span></span>
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110
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<pre style="margin: 0;">+<span id="LC110" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_1</span><span class="p">.</span><span class="n" style="color: #333;">add_column</span><span class="p">(</span><span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'tag1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag3'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag3'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag4'</span><span class="p">],</span></span>
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111
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<pre style="margin: 0;">+<span id="LC111" class="line" lang="python"> <span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'tags'</span><span class="p">,</span></span>
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112
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<pre style="margin: 0;">+<span id="LC112" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'custom tags'</span><span class="p">,</span></span>
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113
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<pre style="margin: 0;">+<span id="LC113" class="line" lang="python"> <span class="n" style="color: #333;">index</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="mi" style="color: #099;">2</span><span class="p">,</span> <span class="mi" style="color: #099;">4</span><span class="p">,</span> <span class="mi" style="color: #099;">6</span><span class="p">,</span> <span class="mi" style="color: #099;">7</span><span class="p">])</span></span>
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<pre style="margin: 0;">+<span id="LC114" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_1</span><span class="p">.</span><span class="n" style="color: #333;">add_column</span><span class="p">(</span><span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">),</span></span>
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<pre style="margin: 0;">+<span id="LC115" class="line" lang="python"> <span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'myid'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC116" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'custom ids'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC117" class="line" lang="python"> <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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<pre style="margin: 0;">+<span id="LC118" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC119" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># category 0 table</span></span>
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<pre style="margin: 0;">+<span id="LC120" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category0</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTableSingleDTR</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'category0'</span><span class="p">,</span> <span class="n" style="color: #333;">child_table1</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_0</span><span class="p">)</span></span>
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121
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<pre style="margin: 0;">+<span id="LC121" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category0</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</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;">child_table_ref1</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">,</span> <span class="p">])</span></span>
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122
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<pre style="margin: 0;">+<span id="LC122" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category0</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="n" style="color: #333;">child_table_ref1</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="mi" style="color: #099;">2</span><span class="p">])</span></span>
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<pre style="margin: 0;">+<span id="LC123" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category0</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="n" style="color: #333;">child_table_ref1</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="mi" style="color: #099;">3</span><span class="p">,</span> <span class="p">])</span></span>
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<pre style="margin: 0;">+<span id="LC124" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category0</span><span class="p">.</span><span class="n" style="color: #333;">add_column</span><span class="p">(</span><span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="mi" style="color: #099;">10</span><span class="p">,</span> <span class="mi" style="color: #099;">11</span><span class="p">,</span> <span class="mi" style="color: #099;">12</span><span class="p">],</span></span>
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125
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<pre style="margin: 0;">+<span id="LC125" class="line" lang="python"> <span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'filter'</span><span class="p">,</span></span>
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126
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<pre style="margin: 0;">+<span id="LC126" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'filter value'</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;">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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<pre style="margin: 0;">+<span id="LC128" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC129" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># category 1 table</span></span>
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<pre style="margin: 0;">+<span id="LC130" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category1</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTableSingleDTR</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'category1'</span><span class="p">,</span> <span class="n" style="color: #333;">child_table1</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_1</span><span class="p">)</span></span>
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131
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<pre style="margin: 0;">+<span id="LC131" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category1</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</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;">child_table_ref1</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">,</span> <span class="mi" style="color: #099;">1</span><span class="p">])</span></span>
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<pre style="margin: 0;">+<span id="LC132" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category1</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="n" style="color: #333;">child_table_ref1</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="mi" style="color: #099;">2</span><span class="p">,</span> <span class="mi" style="color: #099;">3</span><span class="p">])</span></span>
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<pre style="margin: 0;">+<span id="LC133" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category1</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="n" style="color: #333;">child_table_ref1</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="mi" style="color: #099;">3</span><span class="p">])</span></span>
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<pre style="margin: 0;">+<span id="LC134" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category1</span><span class="p">.</span><span class="n" style="color: #333;">add_column</span><span class="p">(</span><span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="mi" style="color: #099;">2</span><span class="p">,</span> <span class="mi" style="color: #099;">3</span><span class="p">],</span></span>
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<pre style="margin: 0;">+<span id="LC135" class="line" lang="python"> <span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'filter'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC136" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'filter value'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC137" class="line" lang="python"> <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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<pre style="margin: 0;">+<span id="LC138" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Aligned table</span></span>
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139
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<pre style="margin: 0;">+<span id="LC139" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">aligned_table</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">AlignedDynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'my_aligned_table'</span><span class="p">,</span></span>
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140
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<pre style="margin: 0;">+<span id="LC140" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'my test table'</span><span class="p">,</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;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'a1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'a1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">3</span><span class="p">)),</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="n" style="color: #333;">colnames</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'a1'</span><span class="p">,</span> <span class="p">],</span></span>
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<pre style="margin: 0;">+<span id="LC143" class="line" lang="python"> <span class="n" style="color: #333;">category_tables</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category0</span><span class="p">,</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category1</span><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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<pre style="margin: 0;">+<span id="LC145" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">tearDown</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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146
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<pre style="margin: 0;">+<span id="LC146" class="line" lang="python"> <span class="k" style="font-weight: 600;">del</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_0</span></span>
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147
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<pre style="margin: 0;">+<span id="LC147" class="line" lang="python"> <span class="k" style="font-weight: 600;">del</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_1</span></span>
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148
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<pre style="margin: 0;">+<span id="LC148" class="line" lang="python"> <span class="k" style="font-weight: 600;">del</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category0</span></span>
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149
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<pre style="margin: 0;">+<span id="LC149" class="line" lang="python"> <span class="k" style="font-weight: 600;">del</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category1</span></span>
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150
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<pre style="margin: 0;">+<span id="LC150" class="line" lang="python"> <span class="k" style="font-weight: 600;">del</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">aligned_table</span></span>
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<pre style="margin: 0;">+<span id="LC151" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC152" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_to_hierarchical_dataframe</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC153" class="line" lang="python"> <span class="s" style="color: #d14;">"""Test that converting an AlignedDynamicTable with links works"""</span></span>
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154
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<pre style="margin: 0;">+<span id="LC154" class="line" lang="python"> <span class="n" style="color: #333;">hier_df</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">to_hierarchical_dataframe</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">aligned_table</span><span class="p">)</span></span>
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155
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<pre style="margin: 0;">+<span id="LC155" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">.</span><span class="n" style="color: #333;">to_list</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="p">[(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tags'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'myid'</span><span class="p">)])</span></span>
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157
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<pre style="margin: 0;">+<span id="LC157" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">.</span><span class="n" style="color: #333;">index</span><span class="p">.</span><span class="n" style="color: #333;">names</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="p">[(</span><span class="s" style="color: #d14;">'my_aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'my_aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'my_aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'a1'</span><span class="p">)),</span></span>
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<td class="new_line diff-line-num new" data-linenumber="159" 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">
159
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<pre style="margin: 0;">+<span id="LC159" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'my_aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'category0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">)),</span> <span class="p">(</span><span class="s" style="color: #d14;">'my_aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'category0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'filter'</span><span class="p">)),</span></span>
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160
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<pre style="margin: 0;">+<span id="LC160" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'my_aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'category1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">)),</span></span>
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161
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<pre style="margin: 0;">+<span id="LC161" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'my_aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'category1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'child_table_ref1'</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="p">(</span><span class="s" style="color: #d14;">'my_aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'category1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'filter'</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="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">.</span><span class="n" style="color: #333;">index</span><span class="p">.</span><span class="n" style="color: #333;">to_list</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="p">[(</span><span class="mi" style="color: #099;">0</span><span class="p">,</span> <span class="mi" style="color: #099;">0</span><span class="p">,</span> <span class="mi" style="color: #099;">0</span><span class="p">,</span> <span class="mi" style="color: #099;">10</span><span class="p">,</span> <span class="mi" style="color: #099;">0</span><span class="p">,</span> <span class="p">(</span><span class="mi" style="color: #099;">0</span><span class="p">,</span> <span class="mi" style="color: #099;">1</span><span class="p">),</span> <span class="mi" style="color: #099;">1</span><span class="p">),</span></span>
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165
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<pre style="margin: 0;">+<span id="LC165" class="line" lang="python"> <span class="p">(</span><span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="mi" style="color: #099;">11</span><span class="p">,</span> <span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="p">(</span><span class="mi" style="color: #099;">2</span><span class="p">,</span> <span class="mi" style="color: #099;">3</span><span class="p">),</span> <span class="mi" style="color: #099;">2</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="p">(</span><span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="mi" style="color: #099;">11</span><span class="p">,</span> <span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="p">(</span><span class="mi" style="color: #099;">2</span><span class="p">,</span> <span class="mi" style="color: #099;">3</span><span class="p">),</span> <span class="mi" style="color: #099;">2</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="p">(</span><span class="mi" style="color: #099;">2</span><span class="p">,</span> <span class="mi" style="color: #099;">2</span><span class="p">,</span> <span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="mi" style="color: #099;">12</span><span class="p">,</span> <span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="p">(</span><span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="mi" style="color: #099;">3</span><span class="p">),</span> <span class="mi" style="color: #099;">3</span><span class="p">)])</span></span>
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<td class="new_line diff-line-num new" data-linenumber="168" 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">
168
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<pre style="margin: 0;">+<span id="LC168" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">[(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tags'</span><span class="p">)].</span><span class="n" style="color: #333;">values</span><span class="p">.</span><span class="n" style="color: #333;">tolist</span><span class="p">(),</span></span>
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<td class="new_line diff-line-num new" data-linenumber="169" 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">
169
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<pre style="margin: 0;">+<span id="LC169" class="line" lang="python"> <span class="p">[[</span><span class="s" style="color: #d14;">'tag1'</span><span class="p">],</span> <span class="p">[</span><span class="s" style="color: #d14;">'tag2'</span><span class="p">],</span> <span class="p">[</span><span class="s" style="color: #d14;">'tag2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag1'</span><span class="p">],</span> <span class="p">[</span><span class="s" style="color: #d14;">'tag3'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag4'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag5'</span><span class="p">]])</span></span>
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<pre style="margin: 0;">+<span id="LC170" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC171" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_has_foreign_columns_in_category_tables</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC172" class="line" lang="python"> <span class="s" style="color: #d14;">"""Test confirming working order for DynamicTableRegions in subtables"""</span></span>
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173
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<pre style="margin: 0;">+<span id="LC173" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertTrue</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">aligned_table</span><span class="p">.</span><span class="n" style="color: #333;">has_foreign_columns</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="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertFalse</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">aligned_table</span><span class="p">.</span><span class="n" style="color: #333;">has_foreign_columns</span><span class="p">(</span><span class="n" style="color: #333;">ignore_category_tables</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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175
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<pre style="margin: 0;">+<span id="LC175" class="line" lang="python"></span>
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176
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<pre style="margin: 0;">+<span id="LC176" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_has_foreign_columns_false</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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177
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<pre style="margin: 0;">+<span id="LC177" class="line" lang="python"> <span class="s" style="color: #d14;">"""Test false if there are no DynamicTableRegionColumns"""</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;">temp_table</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'t1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'t1'</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;">colnames</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c2'</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;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</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;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">))])</span></span>
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<td class="new_line diff-line-num new" data-linenumber="182" 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">
182
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<pre style="margin: 0;">+<span id="LC182" class="line" lang="python"> <span class="n" style="color: #333;">temp_aligned_table</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">AlignedDynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'my_aligned_table'</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;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'my test table'</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="n" style="color: #333;">category_tables</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">temp_table</span><span class="p">],</span></span>
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185
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<pre style="margin: 0;">+<span id="LC185" class="line" lang="python"> <span class="n" style="color: #333;">colnames</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'a1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'a2'</span><span class="p">],</span></span>
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<td class="new_line diff-line-num new" data-linenumber="186" 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">
186
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<pre style="margin: 0;">+<span id="LC186" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'a1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">)),</span></span>
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<td class="new_line diff-line-num new" data-linenumber="187" 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">
187
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<pre style="margin: 0;">+<span id="LC187" class="line" lang="python"> <span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'a2'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">))])</span></span>
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<pre style="margin: 0;">+<span id="LC188" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertFalse</span><span class="p">(</span><span class="n" style="color: #333;">temp_aligned_table</span><span class="p">.</span><span class="n" style="color: #333;">has_foreign_columns</span><span class="p">())</span></span>
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<pre style="margin: 0;">+<span id="LC189" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertFalse</span><span class="p">(</span><span class="n" style="color: #333;">temp_aligned_table</span><span class="p">.</span><span class="n" style="color: #333;">has_foreign_columns</span><span class="p">(</span><span class="n" style="color: #333;">ignore_category_tables</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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190
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<pre style="margin: 0;">+<span id="LC190" class="line" lang="python"></span>
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191
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<pre style="margin: 0;">+<span id="LC191" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_has_foreign_column_in_main_table</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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192
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<pre style="margin: 0;">+<span id="LC192" class="line" lang="python"> <span class="n" style="color: #333;">temp_table</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'t1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'t1'</span><span class="p">,</span></span>
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193
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<pre style="margin: 0;">+<span id="LC193" class="line" lang="python"> <span class="n" style="color: #333;">colnames</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c2'</span><span class="p">],</span></span>
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194
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<pre style="margin: 0;">+<span id="LC194" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">)),</span></span>
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195
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<pre style="margin: 0;">+<span id="LC195" class="line" lang="python"> <span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">))])</span></span>
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196
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<pre style="margin: 0;">+<span id="LC196" class="line" lang="python"> <span class="n" style="color: #333;">temp_aligned_table</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">AlignedDynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'my_aligned_table'</span><span class="p">,</span></span>
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197
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<pre style="margin: 0;">+<span id="LC197" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'my test table'</span><span class="p">,</span></span>
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198
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<pre style="margin: 0;">+<span id="LC198" class="line" lang="python"> <span class="n" style="color: #333;">category_tables</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">temp_table</span><span class="p">],</span></span>
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199
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<pre style="margin: 0;">+<span id="LC199" class="line" lang="python"> <span class="n" style="color: #333;">colnames</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'a1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'a2'</span><span class="p">],</span></span>
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200
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<pre style="margin: 0;">+<span id="LC200" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'a1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">)),</span></span>
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201
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<pre style="margin: 0;">+<span id="LC201" class="line" lang="python"> <span class="n" style="color: #333;">DynamicTableRegion</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'a2'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span></span>
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202
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<pre style="margin: 0;">+<span id="LC202" class="line" lang="python"> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">),</span> <span class="n" style="color: #333;">table</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">temp_table</span><span class="p">)])</span></span>
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203
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<pre style="margin: 0;">+<span id="LC203" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertTrue</span><span class="p">(</span><span class="n" style="color: #333;">temp_aligned_table</span><span class="p">.</span><span class="n" style="color: #333;">has_foreign_columns</span><span class="p">())</span></span>
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204
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<pre style="margin: 0;">+<span id="LC204" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertTrue</span><span class="p">(</span><span class="n" style="color: #333;">temp_aligned_table</span><span class="p">.</span><span class="n" style="color: #333;">has_foreign_columns</span><span class="p">(</span><span class="n" style="color: #333;">ignore_category_tables</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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205
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<pre style="margin: 0;">+<span id="LC205" class="line" lang="python"></span>
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206
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<pre style="margin: 0;">+<span id="LC206" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_get_foreign_columns</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC207" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># check without subcateogries</span></span>
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208
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<pre style="margin: 0;">+<span id="LC208" class="line" lang="python"> <span class="n" style="color: #333;">foreign_cols</span> <span class="o" style="font-weight: 600;">=</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">aligned_table</span><span class="p">.</span><span class="n" style="color: #333;">get_foreign_columns</span><span class="p">(</span><span class="n" style="color: #333;">ignore_category_tables</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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209
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<pre style="margin: 0;">+<span id="LC209" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">foreign_cols</span><span class="p">,</span> <span class="p">[])</span></span>
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210
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<pre style="margin: 0;">+<span id="LC210" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># check with subcateogries</span></span>
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211
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<pre style="margin: 0;">+<span id="LC211" class="line" lang="python"> <span class="n" style="color: #333;">foreign_cols</span> <span class="o" style="font-weight: 600;">=</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">aligned_table</span><span class="p">.</span><span class="n" style="color: #333;">get_foreign_columns</span><span class="p">()</span></span>
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212
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<pre style="margin: 0;">+<span id="LC212" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="nb" style="color: #0086b3;">len</span><span class="p">(</span><span class="n" style="color: #333;">foreign_cols</span><span class="p">),</span> <span class="mi" style="color: #099;">2</span><span class="p">)</span></span>
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213
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<pre style="margin: 0;">+<span id="LC213" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">i</span><span class="p">,</span> <span class="n" style="color: #333;">v</span> <span class="ow" style="font-weight: 600;">in</span> <span class="nb" style="color: #0086b3;">enumerate</span><span class="p">([(</span><span class="s" style="color: #d14;">'category0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'child_table_ref1'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'category1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'child_table_ref1'</span><span class="p">)]):</span></span>
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214
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<pre style="margin: 0;">+<span id="LC214" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertTupleEqual</span><span class="p">(</span><span class="n" style="color: #333;">foreign_cols</span><span class="p">[</span><span class="n" style="color: #333;">i</span><span class="p">],</span> <span class="n" style="color: #333;">v</span><span class="p">)</span></span>
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215
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<pre style="margin: 0;">+<span id="LC215" class="line" lang="python"></span>
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216
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<pre style="margin: 0;">+<span id="LC216" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_get_foreign_columns_none</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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217
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<pre style="margin: 0;">+<span id="LC217" class="line" lang="python"> <span class="s" style="color: #d14;">"""Test false if there are no DynamicTableRegionColumns"""</span></span>
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218
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<pre style="margin: 0;">+<span id="LC218" class="line" lang="python"> <span class="n" style="color: #333;">temp_table</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'t1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'t1'</span><span class="p">,</span></span>
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219
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<pre style="margin: 0;">+<span id="LC219" class="line" lang="python"> <span class="n" style="color: #333;">colnames</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c2'</span><span class="p">],</span></span>
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<pre style="margin: 0;">+<span id="LC220" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">)),</span></span>
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221
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<pre style="margin: 0;">+<span id="LC221" class="line" lang="python"> <span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">))])</span></span>
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<pre style="margin: 0;">+<span id="LC222" class="line" lang="python"> <span class="n" style="color: #333;">temp_aligned_table</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">AlignedDynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'my_aligned_table'</span><span class="p">,</span></span>
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223
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<pre style="margin: 0;">+<span id="LC223" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'my test table'</span><span class="p">,</span></span>
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224
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<pre style="margin: 0;">+<span id="LC224" class="line" lang="python"> <span class="n" style="color: #333;">category_tables</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">temp_table</span><span class="p">],</span></span>
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225
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<pre style="margin: 0;">+<span id="LC225" class="line" lang="python"> <span class="n" style="color: #333;">colnames</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'a1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'a2'</span><span class="p">],</span></span>
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<pre style="margin: 0;">+<span id="LC226" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'a1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">)),</span></span>
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<pre style="margin: 0;">+<span id="LC227" class="line" lang="python"> <span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'a2'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">))])</span></span>
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<pre style="margin: 0;">+<span id="LC228" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">temp_aligned_table</span><span class="p">.</span><span class="n" style="color: #333;">get_foreign_columns</span><span class="p">(),</span> <span class="p">[])</span></span>
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<pre style="margin: 0;">+<span id="LC229" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">temp_aligned_table</span><span class="p">.</span><span class="n" style="color: #333;">get_foreign_columns</span><span class="p">(</span><span class="n" style="color: #333;">ignore_category_tables</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">True</span><span class="p">),</span> <span class="p">[])</span></span>
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<pre style="margin: 0;">+<span id="LC230" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC231" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_get_foreign_column_in_main_and_category_table</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC232" class="line" lang="python"> <span class="n" style="color: #333;">temp_table0</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'t0'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'t1'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC233" class="line" lang="python"> <span class="n" style="color: #333;">colnames</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c2'</span><span class="p">],</span></span>
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<pre style="margin: 0;">+<span id="LC234" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">)),</span></span>
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<pre style="margin: 0;">+<span id="LC235" class="line" lang="python"> <span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">))])</span></span>
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<pre style="margin: 0;">+<span id="LC236" class="line" lang="python"> <span class="n" style="color: #333;">temp_table</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'t1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'t1'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC237" class="line" lang="python"> <span class="n" style="color: #333;">colnames</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c2'</span><span class="p">],</span></span>
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<pre style="margin: 0;">+<span id="LC238" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">)),</span></span>
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<pre style="margin: 0;">+<span id="LC239" class="line" lang="python"> <span class="n" style="color: #333;">DynamicTableRegion</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC240" class="line" lang="python"> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">),</span> <span class="n" style="color: #333;">table</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">temp_table0</span><span class="p">)])</span></span>
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<pre style="margin: 0;">+<span id="LC241" class="line" lang="python"> <span class="n" style="color: #333;">temp_aligned_table</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">AlignedDynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'my_aligned_table'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC242" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'my test table'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC243" class="line" lang="python"> <span class="n" style="color: #333;">category_tables</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">temp_table</span><span class="p">],</span></span>
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<pre style="margin: 0;">+<span id="LC244" class="line" lang="python"> <span class="n" style="color: #333;">colnames</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'a1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'a2'</span><span class="p">],</span></span>
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<pre style="margin: 0;">+<span id="LC245" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'a1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">)),</span></span>
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<pre style="margin: 0;">+<span id="LC246" class="line" lang="python"> <span class="n" style="color: #333;">DynamicTableRegion</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'a2'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span></span>
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247
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<pre style="margin: 0;">+<span id="LC247" class="line" lang="python"> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">),</span> <span class="n" style="color: #333;">table</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">temp_table</span><span class="p">)])</span></span>
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<pre style="margin: 0;">+<span id="LC248" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># We should get both the DynamicTableRegion from the main table and the category 't1'</span></span>
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<pre style="margin: 0;">+<span id="LC249" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">temp_aligned_table</span><span class="p">.</span><span class="n" style="color: #333;">get_foreign_columns</span><span class="p">(),</span> <span class="p">[(</span><span class="bp" style="color: #999;">None</span><span class="p">,</span> <span class="s" style="color: #d14;">'a2'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'t1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c2'</span><span class="p">)])</span></span>
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<pre style="margin: 0;">+<span id="LC250" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># We should only get the column from the main table</span></span>
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251
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<pre style="margin: 0;">+<span id="LC251" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">temp_aligned_table</span><span class="p">.</span><span class="n" style="color: #333;">get_foreign_columns</span><span class="p">(</span><span class="n" style="color: #333;">ignore_category_tables</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">True</span><span class="p">),</span> <span class="p">[(</span><span class="bp" style="color: #999;">None</span><span class="p">,</span> <span class="s" style="color: #d14;">'a2'</span><span class="p">)])</span></span>
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<pre style="margin: 0;">+<span id="LC252" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC253" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_get_linked_tables</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC254" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># check without subcateogries</span></span>
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<pre style="margin: 0;">+<span id="LC255" class="line" lang="python"> <span class="n" style="color: #333;">linked_table</span> <span class="o" style="font-weight: 600;">=</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">aligned_table</span><span class="p">.</span><span class="n" style="color: #333;">get_linked_tables</span><span class="p">(</span><span class="n" style="color: #333;">ignore_category_tables</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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256
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<pre style="margin: 0;">+<span id="LC256" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">linked_table</span><span class="p">,</span> <span class="p">[])</span></span>
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257
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<pre style="margin: 0;">+<span id="LC257" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># check with subcateogries</span></span>
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258
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<pre style="margin: 0;">+<span id="LC258" class="line" lang="python"> <span class="n" style="color: #333;">linked_tables</span> <span class="o" style="font-weight: 600;">=</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">aligned_table</span><span class="p">.</span><span class="n" style="color: #333;">get_linked_tables</span><span class="p">()</span></span>
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259
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<pre style="margin: 0;">+<span id="LC259" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="nb" style="color: #0086b3;">len</span><span class="p">(</span><span class="n" style="color: #333;">linked_tables</span><span class="p">),</span> <span class="mi" style="color: #099;">2</span><span class="p">)</span></span>
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260
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<pre style="margin: 0;">+<span id="LC260" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertTupleEqual</span><span class="p">((</span><span class="n" style="color: #333;">linked_tables</span><span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">].</span><span class="n" style="color: #333;">source_table</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span></span>
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261
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<pre style="margin: 0;">+<span id="LC261" class="line" lang="python"> <span class="n" style="color: #333;">linked_tables</span><span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">].</span><span class="n" style="color: #333;">source_column</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="LC262" class="line" lang="python"> <span class="n" style="color: #333;">linked_tables</span><span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">].</span><span class="n" style="color: #333;">target_table</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">),</span></span>
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263
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<pre style="margin: 0;">+<span id="LC263" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'category0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'child_table_ref1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'level0_0'</span><span class="p">))</span></span>
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264
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<pre style="margin: 0;">+<span id="LC264" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertTupleEqual</span><span class="p">((</span><span class="n" style="color: #333;">linked_tables</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">].</span><span class="n" style="color: #333;">source_table</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span></span>
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265
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<pre style="margin: 0;">+<span id="LC265" class="line" lang="python"> <span class="n" style="color: #333;">linked_tables</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">].</span><span class="n" style="color: #333;">source_column</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span></span>
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266
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<pre style="margin: 0;">+<span id="LC266" class="line" lang="python"> <span class="n" style="color: #333;">linked_tables</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">].</span><span class="n" style="color: #333;">target_table</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">),</span></span>
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267
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<pre style="margin: 0;">+<span id="LC267" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'category1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'child_table_ref1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'level0_1'</span><span class="p">))</span></span>
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268
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<pre style="margin: 0;">+<span id="LC268" class="line" lang="python"></span>
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269
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<pre style="margin: 0;">+<span id="LC269" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_get_linked_tables_none</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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270
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<pre style="margin: 0;">+<span id="LC270" class="line" lang="python"> <span class="s" style="color: #d14;">"""Test false if there are no DynamicTableRegionColumns"""</span></span>
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271
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<pre style="margin: 0;">+<span id="LC271" class="line" lang="python"> <span class="n" style="color: #333;">temp_table</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'t1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'t1'</span><span class="p">,</span></span>
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272
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<pre style="margin: 0;">+<span id="LC272" class="line" lang="python"> <span class="n" style="color: #333;">colnames</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c2'</span><span class="p">],</span></span>
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273
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<pre style="margin: 0;">+<span id="LC273" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">)),</span></span>
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274
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<pre style="margin: 0;">+<span id="LC274" class="line" lang="python"> <span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">))])</span></span>
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275
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<pre style="margin: 0;">+<span id="LC275" class="line" lang="python"> <span class="n" style="color: #333;">temp_aligned_table</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">AlignedDynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'my_aligned_table'</span><span class="p">,</span></span>
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276
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<pre style="margin: 0;">+<span id="LC276" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'my test table'</span><span class="p">,</span></span>
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277
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<pre style="margin: 0;">+<span id="LC277" class="line" lang="python"> <span class="n" style="color: #333;">category_tables</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">temp_table</span><span class="p">],</span></span>
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278
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<pre style="margin: 0;">+<span id="LC278" class="line" lang="python"> <span class="n" style="color: #333;">colnames</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'a1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'a2'</span><span class="p">],</span></span>
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<td class="new_line diff-line-num new" data-linenumber="279" 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">
279
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<pre style="margin: 0;">+<span id="LC279" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'a1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">)),</span></span>
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280
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<pre style="margin: 0;">+<span id="LC280" class="line" lang="python"> <span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'a2'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">))])</span></span>
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281
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<pre style="margin: 0;">+<span id="LC281" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">temp_aligned_table</span><span class="p">.</span><span class="n" style="color: #333;">get_linked_tables</span><span class="p">(),</span> <span class="p">[])</span></span>
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<pre style="margin: 0;">+<span id="LC282" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">temp_aligned_table</span><span class="p">.</span><span class="n" style="color: #333;">get_linked_tables</span><span class="p">(</span><span class="n" style="color: #333;">ignore_category_tables</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">True</span><span class="p">),</span> <span class="p">[])</span></span>
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<pre style="margin: 0;">+<span id="LC283" class="line" lang="python"></span>
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284
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<pre style="margin: 0;">+<span id="LC284" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_get_linked_tables_complex_link</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC285" class="line" lang="python"> <span class="n" style="color: #333;">temp_table0</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'t0'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'t1'</span><span class="p">,</span></span>
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286
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<pre style="margin: 0;">+<span id="LC286" class="line" lang="python"> <span class="n" style="color: #333;">colnames</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c2'</span><span class="p">],</span></span>
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287
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<pre style="margin: 0;">+<span id="LC287" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">)),</span></span>
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288
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<pre style="margin: 0;">+<span id="LC288" class="line" lang="python"> <span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">))])</span></span>
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289
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<pre style="margin: 0;">+<span id="LC289" class="line" lang="python"> <span class="n" style="color: #333;">temp_table</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'t1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'t1'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC290" class="line" lang="python"> <span class="n" style="color: #333;">colnames</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c2'</span><span class="p">],</span></span>
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291
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<pre style="margin: 0;">+<span id="LC291" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">)),</span></span>
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292
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<pre style="margin: 0;">+<span id="LC292" class="line" lang="python"> <span class="n" style="color: #333;">DynamicTableRegion</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span></span>
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293
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<pre style="margin: 0;">+<span id="LC293" class="line" lang="python"> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">),</span> <span class="n" style="color: #333;">table</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">temp_table0</span><span class="p">)])</span></span>
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<pre style="margin: 0;">+<span id="LC294" class="line" lang="python"> <span class="n" style="color: #333;">temp_aligned_table</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">AlignedDynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'my_aligned_table'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC295" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'my test table'</span><span class="p">,</span></span>
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296
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<pre style="margin: 0;">+<span id="LC296" class="line" lang="python"> <span class="n" style="color: #333;">category_tables</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">temp_table</span><span class="p">],</span></span>
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297
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<pre style="margin: 0;">+<span id="LC297" class="line" lang="python"> <span class="n" style="color: #333;">colnames</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'a1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'a2'</span><span class="p">],</span></span>
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<pre style="margin: 0;">+<span id="LC298" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'a1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">)),</span></span>
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<pre style="margin: 0;">+<span id="LC299" class="line" lang="python"> <span class="n" style="color: #333;">DynamicTableRegion</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'a2'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC300" class="line" lang="python"> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">),</span> <span class="n" style="color: #333;">table</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">temp_table</span><span class="p">)])</span></span>
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<pre style="margin: 0;">+<span id="LC301" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># NOTE: in this example templ_aligned_table both points to temp_table and at the</span></span>
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<pre style="margin: 0;">+<span id="LC302" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># same time contains temp_table as a category. This could lead to temp_table</span></span>
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<pre style="margin: 0;">+<span id="LC303" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># visited multiple times and we want to make sure this doesn't happen</span></span>
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<pre style="margin: 0;">+<span id="LC304" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># We should get both the DynamicTableRegion from the main table and the category 't1'</span></span>
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<pre style="margin: 0;">+<span id="LC305" class="line" lang="python"> <span class="n" style="color: #333;">linked_tables</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">temp_aligned_table</span><span class="p">.</span><span class="n" style="color: #333;">get_linked_tables</span><span class="p">()</span></span>
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306
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<pre style="margin: 0;">+<span id="LC306" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="nb" style="color: #0086b3;">len</span><span class="p">(</span><span class="n" style="color: #333;">linked_tables</span><span class="p">),</span> <span class="mi" style="color: #099;">2</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC307" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">i</span><span class="p">,</span> <span class="n" style="color: #333;">v</span> <span class="ow" style="font-weight: 600;">in</span> <span class="nb" style="color: #0086b3;">enumerate</span><span class="p">([(</span><span class="s" style="color: #d14;">'my_aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'a2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'t1'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'t1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'t0'</span><span class="p">)]):</span></span>
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308
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<pre style="margin: 0;">+<span id="LC308" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertTupleEqual</span><span class="p">((</span><span class="n" style="color: #333;">linked_tables</span><span class="p">[</span><span class="n" style="color: #333;">i</span><span class="p">].</span><span class="n" style="color: #333;">source_table</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span></span>
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309
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<pre style="margin: 0;">+<span id="LC309" class="line" lang="python"> <span class="n" style="color: #333;">linked_tables</span><span class="p">[</span><span class="n" style="color: #333;">i</span><span class="p">].</span><span class="n" style="color: #333;">source_column</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span></span>
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310
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<pre style="margin: 0;">+<span id="LC310" class="line" lang="python"> <span class="n" style="color: #333;">linked_tables</span><span class="p">[</span><span class="n" style="color: #333;">i</span><span class="p">].</span><span class="n" style="color: #333;">target_table</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">),</span> <span class="n" style="color: #333;">v</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC311" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Now, since our main table links to the category table the result should remain the same</span></span>
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<pre style="margin: 0;">+<span id="LC312" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># even if we ignore the category table</span></span>
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<pre style="margin: 0;">+<span id="LC313" class="line" lang="python"> <span class="n" style="color: #333;">linked_tables</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">temp_aligned_table</span><span class="p">.</span><span class="n" style="color: #333;">get_linked_tables</span><span class="p">(</span><span class="n" style="color: #333;">ignore_category_tables</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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314
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<pre style="margin: 0;">+<span id="LC314" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="nb" style="color: #0086b3;">len</span><span class="p">(</span><span class="n" style="color: #333;">linked_tables</span><span class="p">),</span> <span class="mi" style="color: #099;">2</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC315" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">i</span><span class="p">,</span> <span class="n" style="color: #333;">v</span> <span class="ow" style="font-weight: 600;">in</span> <span class="nb" style="color: #0086b3;">enumerate</span><span class="p">([(</span><span class="s" style="color: #d14;">'my_aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'a2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'t1'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'t1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'t0'</span><span class="p">)]):</span></span>
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<pre style="margin: 0;">+<span id="LC316" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertTupleEqual</span><span class="p">((</span><span class="n" style="color: #333;">linked_tables</span><span class="p">[</span><span class="n" style="color: #333;">i</span><span class="p">].</span><span class="n" style="color: #333;">source_table</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="LC317" class="line" lang="python"> <span class="n" style="color: #333;">linked_tables</span><span class="p">[</span><span class="n" style="color: #333;">i</span><span class="p">].</span><span class="n" style="color: #333;">source_column</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="LC318" class="line" lang="python"> <span class="n" style="color: #333;">linked_tables</span><span class="p">[</span><span class="n" style="color: #333;">i</span><span class="p">].</span><span class="n" style="color: #333;">target_table</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">),</span> <span class="n" style="color: #333;">v</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC319" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC320" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_get_linked_tables_simple_link</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC321" class="line" lang="python"> <span class="n" style="color: #333;">temp_table0</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'t0'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'t1'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC322" class="line" lang="python"> <span class="n" style="color: #333;">colnames</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c2'</span><span class="p">],</span></span>
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<pre style="margin: 0;">+<span id="LC323" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">)),</span></span>
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<pre style="margin: 0;">+<span id="LC324" class="line" lang="python"> <span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">))])</span></span>
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<pre style="margin: 0;">+<span id="LC325" class="line" lang="python"> <span class="n" style="color: #333;">temp_table</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'t1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'t1'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC326" class="line" lang="python"> <span class="n" style="color: #333;">colnames</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c2'</span><span class="p">],</span></span>
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<pre style="margin: 0;">+<span id="LC327" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">)),</span></span>
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<pre style="margin: 0;">+<span id="LC328" class="line" lang="python"> <span class="n" style="color: #333;">DynamicTableRegion</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC329" class="line" lang="python"> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">),</span> <span class="n" style="color: #333;">table</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">temp_table0</span><span class="p">)])</span></span>
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<pre style="margin: 0;">+<span id="LC330" class="line" lang="python"> <span class="n" style="color: #333;">temp_aligned_table</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">AlignedDynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'my_aligned_table'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC331" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'my test table'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC332" class="line" lang="python"> <span class="n" style="color: #333;">category_tables</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">temp_table</span><span class="p">],</span></span>
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<pre style="margin: 0;">+<span id="LC333" class="line" lang="python"> <span class="n" style="color: #333;">colnames</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'a1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'a2'</span><span class="p">],</span></span>
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<pre style="margin: 0;">+<span id="LC334" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'a1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">)),</span></span>
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<pre style="margin: 0;">+<span id="LC335" class="line" lang="python"> <span class="n" style="color: #333;">DynamicTableRegion</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'a2'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'c2'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC336" class="line" lang="python"> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">),</span> <span class="n" style="color: #333;">table</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">temp_table0</span><span class="p">)])</span></span>
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<pre style="margin: 0;">+<span id="LC337" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># NOTE: in this example temp_aligned_table and temp_table both point to temp_table0</span></span>
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<pre style="margin: 0;">+<span id="LC338" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># We should get both the DynamicTableRegion from the main table and the category 't1'</span></span>
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<pre style="margin: 0;">+<span id="LC339" class="line" lang="python"> <span class="n" style="color: #333;">linked_tables</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">temp_aligned_table</span><span class="p">.</span><span class="n" style="color: #333;">get_linked_tables</span><span class="p">()</span></span>
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340
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<pre style="margin: 0;">+<span id="LC340" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="nb" style="color: #0086b3;">len</span><span class="p">(</span><span class="n" style="color: #333;">linked_tables</span><span class="p">),</span> <span class="mi" style="color: #099;">2</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC341" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">i</span><span class="p">,</span> <span class="n" style="color: #333;">v</span> <span class="ow" style="font-weight: 600;">in</span> <span class="nb" style="color: #0086b3;">enumerate</span><span class="p">([(</span><span class="s" style="color: #d14;">'my_aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'a2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'t0'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'t1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'c2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'t0'</span><span class="p">)]):</span></span>
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342
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<pre style="margin: 0;">+<span id="LC342" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertTupleEqual</span><span class="p">((</span><span class="n" style="color: #333;">linked_tables</span><span class="p">[</span><span class="n" style="color: #333;">i</span><span class="p">].</span><span class="n" style="color: #333;">source_table</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="LC343" class="line" lang="python"> <span class="n" style="color: #333;">linked_tables</span><span class="p">[</span><span class="n" style="color: #333;">i</span><span class="p">].</span><span class="n" style="color: #333;">source_column</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="LC344" class="line" lang="python"> <span class="n" style="color: #333;">linked_tables</span><span class="p">[</span><span class="n" style="color: #333;">i</span><span class="p">].</span><span class="n" style="color: #333;">target_table</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">),</span> <span class="n" style="color: #333;">v</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC345" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Since no table ever link to our category temp_table we should only get the link from our</span></span>
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<pre style="margin: 0;">+<span id="LC346" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># main table here, in contrast to what happens in the test_get_linked_tables_complex_link case</span></span>
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<pre style="margin: 0;">+<span id="LC347" class="line" lang="python"> <span class="n" style="color: #333;">linked_tables</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">temp_aligned_table</span><span class="p">.</span><span class="n" style="color: #333;">get_linked_tables</span><span class="p">()</span></span>
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348
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<pre style="margin: 0;">+<span id="LC348" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="nb" style="color: #0086b3;">len</span><span class="p">(</span><span class="n" style="color: #333;">linked_tables</span><span class="p">),</span> <span class="mi" style="color: #099;">2</span><span class="p">)</span></span>
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349
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<pre style="margin: 0;">+<span id="LC349" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">i</span><span class="p">,</span> <span class="n" style="color: #333;">v</span> <span class="ow" style="font-weight: 600;">in</span> <span class="nb" style="color: #0086b3;">enumerate</span><span class="p">([(</span><span class="s" style="color: #d14;">'my_aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'a2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'t0'</span><span class="p">),</span> <span class="p">]):</span></span>
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350
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<pre style="margin: 0;">+<span id="LC350" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertTupleEqual</span><span class="p">((</span><span class="n" style="color: #333;">linked_tables</span><span class="p">[</span><span class="n" style="color: #333;">i</span><span class="p">].</span><span class="n" style="color: #333;">source_table</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span></span>
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351
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<pre style="margin: 0;">+<span id="LC351" class="line" lang="python"> <span class="n" style="color: #333;">linked_tables</span><span class="p">[</span><span class="n" style="color: #333;">i</span><span class="p">].</span><span class="n" style="color: #333;">source_column</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span></span>
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352
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<pre style="margin: 0;">+<span id="LC352" class="line" lang="python"> <span class="n" style="color: #333;">linked_tables</span><span class="p">[</span><span class="n" style="color: #333;">i</span><span class="p">].</span><span class="n" style="color: #333;">target_table</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">),</span> <span class="n" style="color: #333;">v</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC355" class="line" lang="python"><span class="k" style="font-weight: 600;">class</span> <span class="nc" style="color: #458; font-weight: 600;">TestHierarchicalTable</span><span class="p">(</span><span class="n" style="color: #333;">TestCase</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC357" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">setUp</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC358" class="line" lang="python"> <span class="s" style="color: #d14;">"""</span></span>
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<pre style="margin: 0;">+<span id="LC359" class="line" lang="python"><span class="s" style="color: #d14;"> Create basic set of linked tables consisting of</span></span>
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<pre style="margin: 0;">+<span id="LC361" class="line" lang="python"><span class="s" style="color: #d14;"> super_parent_table ---> parent_table ---> aligned_table</span></span>
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<pre style="margin: 0;">+<span id="LC362" class="line" lang="python"><span class="s" style="color: #d14;"> |</span></span>
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<pre style="margin: 0;">+<span id="LC363" class="line" lang="python"><span class="s" style="color: #d14;"> +--> category0</span></span>
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<pre style="margin: 0;">+<span id="LC364" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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<pre style="margin: 0;">+<span id="LC365" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Level 0 0 table. I.e., first table on level 0</span></span>
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<pre style="margin: 0;">+<span id="LC366" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category0</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">"level0_0 DynamicTable"</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC367" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category0</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">10</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC368" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category0</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">11</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC369" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category0</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">12</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC370" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category0</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">13</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC371" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category0</span><span class="p">.</span><span class="n" style="color: #333;">add_column</span><span class="p">(</span><span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'tag1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag3'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag4'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag5'</span><span class="p">],</span></span>
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<pre style="margin: 0;">+<span id="LC372" class="line" lang="python"> <span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'tags'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC373" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'custom tags'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC374" class="line" lang="python"> <span class="n" style="color: #333;">index</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="mi" style="color: #099;">2</span><span class="p">,</span> <span class="mi" style="color: #099;">4</span><span class="p">,</span> <span class="mi" style="color: #099;">7</span><span class="p">])</span></span>
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375
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<pre style="margin: 0;">+<span id="LC375" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category0</span><span class="p">.</span><span class="n" style="color: #333;">add_column</span><span class="p">(</span><span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">),</span></span>
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376
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<pre style="margin: 0;">+<span id="LC376" class="line" lang="python"> <span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'myid'</span><span class="p">,</span></span>
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377
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<pre style="margin: 0;">+<span id="LC377" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'custom ids'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC378" class="line" lang="python"> <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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<pre style="margin: 0;">+<span id="LC379" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC380" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Aligned table</span></span>
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381
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<pre style="margin: 0;">+<span id="LC381" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">aligned_table</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">AlignedDynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span></span>
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382
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<pre style="margin: 0;">+<span id="LC382" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'parent_table'</span><span class="p">,</span></span>
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383
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<pre style="margin: 0;">+<span id="LC383" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'a1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'a1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">)),</span> <span class="p">],</span></span>
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384
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<pre style="margin: 0;">+<span id="LC384" class="line" lang="python"> <span class="n" style="color: #333;">colnames</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'a1'</span><span class="p">,</span> <span class="p">],</span></span>
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385
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<pre style="margin: 0;">+<span id="LC385" class="line" lang="python"> <span class="n" style="color: #333;">category_tables</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category0</span><span class="p">,</span> <span class="p">])</span></span>
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386
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<pre style="margin: 0;">+<span id="LC386" class="line" lang="python"></span>
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387
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<pre style="margin: 0;">+<span id="LC387" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Parent table</span></span>
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388
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<pre style="margin: 0;">+<span id="LC388" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">parent_table</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'parent_table'</span><span class="p">,</span></span>
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389
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<pre style="margin: 0;">+<span id="LC389" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'parent_table'</span><span class="p">,</span></span>
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390
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<pre style="margin: 0;">+<span id="LC390" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'p1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'p1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">)),</span></span>
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391
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<pre style="margin: 0;">+<span id="LC391" class="line" lang="python"> <span class="n" style="color: #333;">DynamicTableRegion</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'l1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'l1'</span><span class="p">,</span></span>
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392
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<pre style="margin: 0;">+<span id="LC392" class="line" lang="python"> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">),</span> <span class="n" style="color: #333;">table</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">aligned_table</span><span class="p">)])</span></span>
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393
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<pre style="margin: 0;">+<span id="LC393" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Super-parent table</span></span>
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<pre style="margin: 0;">+<span id="LC394" class="line" lang="python"> <span class="n" style="color: #333;">dtr_sp</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTableRegion</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'sl1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'sl1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">),</span> <span class="n" style="color: #333;">table</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">parent_table</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC395" class="line" lang="python"> <span class="n" style="color: #333;">vi_dtr_sp</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">VectorIndex</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'sl1_index'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="mi" style="color: #099;">2</span><span class="p">,</span> <span class="mi" style="color: #099;">3</span><span class="p">],</span> <span class="n" style="color: #333;">target</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">dtr_sp</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC396" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">super_parent_table</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'super_parent_table'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC397" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'super_parent_table'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC398" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'sp1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'sp1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">3</span><span class="p">)),</span></span>
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<pre style="margin: 0;">+<span id="LC399" class="line" lang="python"> <span class="n" style="color: #333;">dtr_sp</span><span class="p">,</span> <span class="n" style="color: #333;">vi_dtr_sp</span><span class="p">])</span></span>
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<pre style="margin: 0;">+<span id="LC400" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC401" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">tearDown</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC402" class="line" lang="python"> <span class="k" style="font-weight: 600;">del</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category0</span></span>
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<pre style="margin: 0;">+<span id="LC403" class="line" lang="python"> <span class="k" style="font-weight: 600;">del</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">aligned_table</span></span>
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<pre style="margin: 0;">+<span id="LC404" class="line" lang="python"> <span class="k" style="font-weight: 600;">del</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">parent_table</span></span>
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<pre style="margin: 0;">+<span id="LC405" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC406" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_to_hierarchical_dataframe_no_dtr_on_top_level</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC407" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Cover the case where our top dtr is flat (i.e., without a VectorIndex)</span></span>
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<pre style="margin: 0;">+<span id="LC408" class="line" lang="python"> <span class="n" style="color: #333;">dtr_sp</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTableRegion</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'sl1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'sl1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">),</span> <span class="n" style="color: #333;">table</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">parent_table</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC409" class="line" lang="python"> <span class="n" style="color: #333;">spttable</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'super_parent_table'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC410" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'super_parent_table'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC411" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'sp1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'sp1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">)),</span> <span class="n" style="color: #333;">dtr_sp</span><span class="p">])</span></span>
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<pre style="margin: 0;">+<span id="LC412" class="line" lang="python"> <span class="n" style="color: #333;">hier_df</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">to_hierarchical_dataframe</span><span class="p">(</span><span class="n" style="color: #333;">spttable</span><span class="p">).</span><span class="n" style="color: #333;">reset_index</span><span class="p">()</span></span>
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<pre style="margin: 0;">+<span id="LC413" class="line" lang="python"> <span class="n" style="color: #333;">expected_columns</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[(</span><span class="s" style="color: #d14;">'super_parent_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'super_parent_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'sp1'</span><span class="p">),</span></span>
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<pre style="margin: 0;">+<span id="LC414" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'parent_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'parent_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'p1'</span><span class="p">),</span></span>
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<pre style="margin: 0;">+<span id="LC415" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span></span>
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<pre style="margin: 0;">+<span id="LC416" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'a1'</span><span class="p">)),</span> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">)),</span></span>
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<pre style="margin: 0;">+<span id="LC417" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tags'</span><span class="p">)),</span> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'myid'</span><span class="p">))]</span></span>
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<pre style="margin: 0;">+<span id="LC418" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">.</span><span class="n" style="color: #333;">to_list</span><span class="p">(),</span> <span class="n" style="color: #333;">expected_columns</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC419" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC420" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_to_hierarchical_dataframe_indexed_dtr_on_last_level</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC421" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Parent table</span></span>
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<pre style="margin: 0;">+<span id="LC422" class="line" lang="python"> <span class="n" style="color: #333;">dtr_p1</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTableRegion</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'l1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'l1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">),</span> <span class="n" style="color: #333;">table</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">aligned_table</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC423" class="line" lang="python"> <span class="n" style="color: #333;">vi_dtr_p1</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">VectorIndex</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'sl1_index'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="mi" style="color: #099;">2</span><span class="p">,</span> <span class="mi" style="color: #099;">3</span><span class="p">],</span> <span class="n" style="color: #333;">target</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">dtr_p1</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC424" class="line" lang="python"> <span class="n" style="color: #333;">p1</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'parent_table'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'parent_table'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC425" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'p1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'p1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">3</span><span class="p">)),</span> <span class="n" style="color: #333;">dtr_p1</span><span class="p">,</span> <span class="n" style="color: #333;">vi_dtr_p1</span><span class="p">])</span></span>
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<pre style="margin: 0;">+<span id="LC426" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Super-parent table</span></span>
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<pre style="margin: 0;">+<span id="LC427" class="line" lang="python"> <span class="n" style="color: #333;">dtr_sp</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTableRegion</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'sl1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'sl1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">),</span> <span class="n" style="color: #333;">table</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">p1</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC428" class="line" lang="python"> <span class="n" style="color: #333;">vi_dtr_sp</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">VectorIndex</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'sl1_index'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="mi" style="color: #099;">2</span><span class="p">,</span> <span class="mi" style="color: #099;">3</span><span class="p">],</span> <span class="n" style="color: #333;">target</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">dtr_sp</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC429" class="line" lang="python"> <span class="n" style="color: #333;">spt</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'super_parent_table'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'super_parent_table'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC430" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'sp1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'sp1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">3</span><span class="p">)),</span> <span class="n" style="color: #333;">dtr_sp</span><span class="p">,</span> <span class="n" style="color: #333;">vi_dtr_sp</span><span class="p">])</span></span>
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<pre style="margin: 0;">+<span id="LC431" class="line" lang="python"> <span class="n" style="color: #333;">hier_df</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">to_hierarchical_dataframe</span><span class="p">(</span><span class="n" style="color: #333;">spt</span><span class="p">).</span><span class="n" style="color: #333;">reset_index</span><span class="p">()</span></span>
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<pre style="margin: 0;">+<span id="LC432" class="line" lang="python"> <span class="n" style="color: #333;">expected_columns</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[(</span><span class="s" style="color: #d14;">'super_parent_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'super_parent_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'sp1'</span><span class="p">),</span></span>
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433
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<pre style="margin: 0;">+<span id="LC433" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'parent_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'parent_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'p1'</span><span class="p">),</span></span>
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434
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<pre style="margin: 0;">+<span id="LC434" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span></span>
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435
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<pre style="margin: 0;">+<span id="LC435" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'a1'</span><span class="p">)),</span> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">)),</span></span>
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436
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<pre style="margin: 0;">+<span id="LC436" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tags'</span><span class="p">)),</span> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'myid'</span><span class="p">))]</span></span>
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<pre style="margin: 0;">+<span id="LC437" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">.</span><span class="n" style="color: #333;">to_list</span><span class="p">(),</span> <span class="n" style="color: #333;">expected_columns</span><span class="p">)</span> <span class="c1" style="color: #998; font-style: italic;"># make sure we have the right columns</span></span>
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438
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<pre style="margin: 0;">+<span id="LC438" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">[(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tags'</span><span class="p">))].</span><span class="n" style="color: #333;">to_list</span><span class="p">(),</span></span>
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<pre style="margin: 0;">+<span id="LC439" class="line" lang="python"> <span class="p">[[</span><span class="s" style="color: #d14;">'tag1'</span><span class="p">],</span> <span class="p">[</span><span class="s" style="color: #d14;">'tag2'</span><span class="p">],</span> <span class="p">[</span><span class="s" style="color: #d14;">'tag2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag1'</span><span class="p">]])</span></span>
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<pre style="margin: 0;">+<span id="LC440" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC441" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_to_hierarchical_dataframe_empty_tables</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC442" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Setup empty tables with the following hierarchy</span></span>
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<pre style="margin: 0;">+<span id="LC443" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># super_parent_table ---> parent_table ---> child_table</span></span>
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<pre style="margin: 0;">+<span id="LC444" class="line" lang="python"> <span class="n" style="color: #333;">a1</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">"level0_0 DynamicTable"</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC445" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'l0'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'l0'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="p">[])])</span></span>
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<pre style="margin: 0;">+<span id="LC446" class="line" lang="python"> <span class="n" style="color: #333;">p1</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'parent_table'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'parent_table'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC447" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">DynamicTableRegion</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'l1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'l1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="p">[],</span> <span class="n" style="color: #333;">table</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">a1</span><span class="p">),</span></span>
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<pre style="margin: 0;">+<span id="LC448" class="line" lang="python"> <span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'p1c'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'l0'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="p">[])])</span></span>
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<pre style="margin: 0;">+<span id="LC449" class="line" lang="python"> <span class="n" style="color: #333;">dtr_sp</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTableRegion</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'sl1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'sl1'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">),</span> <span class="n" style="color: #333;">table</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">p1</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC450" class="line" lang="python"> <span class="n" style="color: #333;">vi_dtr_sp</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">VectorIndex</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'sl1_index'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="p">[],</span> <span class="n" style="color: #333;">target</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">dtr_sp</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC451" class="line" lang="python"> <span class="n" style="color: #333;">spt</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'super_parent_table'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'super_parent_table'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC452" class="line" lang="python"> <span class="n" style="color: #333;">columns</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="n" style="color: #333;">dtr_sp</span><span class="p">,</span> <span class="n" style="color: #333;">vi_dtr_sp</span><span class="p">,</span> <span class="n" style="color: #333;">VectorData</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'sptc'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'l0'</span><span class="p">,</span> <span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="p">[])])</span></span>
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<pre style="margin: 0;">+<span id="LC453" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Convert to hierarchical dataframe and make sure we get the right columns</span></span>
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<pre style="margin: 0;">+<span id="LC454" class="line" lang="python"> <span class="n" style="color: #333;">hier_df</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">to_hierarchical_dataframe</span><span class="p">(</span><span class="n" style="color: #333;">spt</span><span class="p">).</span><span class="n" style="color: #333;">reset_index</span><span class="p">()</span></span>
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<pre style="margin: 0;">+<span id="LC455" class="line" lang="python"> <span class="n" style="color: #333;">expected_columns</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[(</span><span class="s" style="color: #d14;">'super_parent_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'super_parent_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'sptc'</span><span class="p">),</span></span>
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<pre style="margin: 0;">+<span id="LC456" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'parent_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'parent_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'p1c'</span><span class="p">),</span></span>
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<pre style="margin: 0;">+<span id="LC457" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'l0'</span><span class="p">)]</span></span>
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<pre style="margin: 0;">+<span id="LC458" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">.</span><span class="n" style="color: #333;">to_list</span><span class="p">(),</span> <span class="n" style="color: #333;">expected_columns</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC459" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC460" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_to_hierarchical_dataframe_multilevel</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC461" class="line" lang="python"> <span class="n" style="color: #333;">hier_df</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">to_hierarchical_dataframe</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">super_parent_table</span><span class="p">).</span><span class="n" style="color: #333;">reset_index</span><span class="p">()</span></span>
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<pre style="margin: 0;">+<span id="LC462" class="line" lang="python"> <span class="n" style="color: #333;">expected_cols</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[(</span><span class="s" style="color: #d14;">'super_parent_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'super_parent_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'sp1'</span><span class="p">),</span></span>
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463
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<pre style="margin: 0;">+<span id="LC463" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'parent_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'parent_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'p1'</span><span class="p">),</span></span>
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464
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<pre style="margin: 0;">+<span id="LC464" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span></span>
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465
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<pre style="margin: 0;">+<span id="LC465" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'a1'</span><span class="p">)),</span></span>
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466
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<pre style="margin: 0;">+<span id="LC466" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">)),</span></span>
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467
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<pre style="margin: 0;">+<span id="LC467" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tags'</span><span class="p">)),</span></span>
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468
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<pre style="margin: 0;">+<span id="LC468" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'myid'</span><span class="p">))]</span></span>
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<pre style="margin: 0;">+<span id="LC469" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Check that we have all the columns</span></span>
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470
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<pre style="margin: 0;">+<span id="LC470" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">.</span><span class="n" style="color: #333;">to_list</span><span class="p">(),</span> <span class="n" style="color: #333;">expected_cols</span><span class="p">)</span></span>
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471
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<pre style="margin: 0;">+<span id="LC471" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Spot-check the data in two columns</span></span>
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<pre style="margin: 0;">+<span id="LC472" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">[(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tags'</span><span class="p">))].</span><span class="n" style="color: #333;">to_list</span><span class="p">(),</span></span>
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<pre style="margin: 0;">+<span id="LC473" class="line" lang="python"> <span class="p">[[</span><span class="s" style="color: #d14;">'tag1'</span><span class="p">],</span> <span class="p">[</span><span class="s" style="color: #d14;">'tag2'</span><span class="p">],</span> <span class="p">[</span><span class="s" style="color: #d14;">'tag2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag1'</span><span class="p">]])</span></span>
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474
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<pre style="margin: 0;">+<span id="LC474" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">[(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'a1'</span><span class="p">))].</span><span class="n" style="color: #333;">to_list</span><span class="p">(),</span> <span class="nb" style="color: #0086b3;">list</span><span class="p">(</span><span class="nb" style="color: #0086b3;">range</span><span class="p">(</span><span class="mi" style="color: #099;">3</span><span class="p">)))</span></span>
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<pre style="margin: 0;">+<span id="LC475" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC476" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_to_hierarchical_dataframe</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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477
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<pre style="margin: 0;">+<span id="LC477" class="line" lang="python"> <span class="n" style="color: #333;">hier_df</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">to_hierarchical_dataframe</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">parent_table</span><span class="p">)</span></span>
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478
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<pre style="margin: 0;">+<span id="LC478" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="nb" style="color: #0086b3;">len</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">),</span> <span class="mi" style="color: #099;">4</span><span class="p">)</span></span>
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479
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<pre style="margin: 0;">+<span id="LC479" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="nb" style="color: #0086b3;">len</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">),</span> <span class="mi" style="color: #099;">5</span><span class="p">)</span></span>
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480
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<pre style="margin: 0;">+<span id="LC480" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="nb" style="color: #0086b3;">len</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">.</span><span class="n" style="color: #333;">index</span><span class="p">.</span><span class="n" style="color: #333;">names</span><span class="p">),</span> <span class="mi" style="color: #099;">2</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC481" class="line" lang="python"> <span class="n" style="color: #333;">columns</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span></span>
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482
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<pre style="margin: 0;">+<span id="LC482" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'a1'</span><span class="p">)),</span></span>
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483
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<pre style="margin: 0;">+<span id="LC483" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">)),</span></span>
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484
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<pre style="margin: 0;">+<span id="LC484" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tags'</span><span class="p">)),</span></span>
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485
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<pre style="margin: 0;">+<span id="LC485" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'myid'</span><span class="p">))]</span></span>
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486
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<pre style="margin: 0;">+<span id="LC486" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">i</span><span class="p">,</span> <span class="n" style="color: #333;">c</span> <span class="ow" style="font-weight: 600;">in</span> <span class="nb" style="color: #0086b3;">enumerate</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">):</span></span>
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487
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<pre style="margin: 0;">+<span id="LC487" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertTupleEqual</span><span class="p">(</span><span class="n" style="color: #333;">c</span><span class="p">,</span> <span class="n" style="color: #333;">columns</span><span class="p">[</span><span class="n" style="color: #333;">i</span><span class="p">])</span></span>
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488
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<pre style="margin: 0;">+<span id="LC488" class="line" lang="python"> <span class="n" style="color: #333;">index_names</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[(</span><span class="s" style="color: #d14;">'parent_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'parent_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'p1'</span><span class="p">)]</span></span>
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489
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<pre style="margin: 0;">+<span id="LC489" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">.</span><span class="n" style="color: #333;">index</span><span class="p">.</span><span class="n" style="color: #333;">names</span><span class="p">,</span> <span class="n" style="color: #333;">index_names</span><span class="p">)</span></span>
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490
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<pre style="margin: 0;">+<span id="LC490" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">.</span><span class="n" style="color: #333;">index</span><span class="p">.</span><span class="n" style="color: #333;">to_list</span><span class="p">(),</span> <span class="p">[(</span><span class="n" style="color: #333;">i</span><span class="p">,</span> <span class="n" style="color: #333;">i</span><span class="p">)</span> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">i</span> <span class="ow" style="font-weight: 600;">in</span> <span class="nb" style="color: #0086b3;">range</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">)])</span></span>
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491
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<pre style="margin: 0;">+<span id="LC491" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">[(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'a1'</span><span class="p">))].</span><span class="n" style="color: #333;">to_list</span><span class="p">(),</span> <span class="nb" style="color: #0086b3;">list</span><span class="p">(</span><span class="nb" style="color: #0086b3;">range</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">)))</span></span>
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492
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<pre style="margin: 0;">+<span id="LC492" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">[(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">))].</span><span class="n" style="color: #333;">to_list</span><span class="p">(),</span> <span class="nb" style="color: #0086b3;">list</span><span class="p">(</span><span class="nb" style="color: #0086b3;">range</span><span class="p">(</span><span class="mi" style="color: #099;">10</span><span class="p">,</span> <span class="mi" style="color: #099;">14</span><span class="p">)))</span></span>
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493
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<pre style="margin: 0;">+<span id="LC493" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">[(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'myid'</span><span class="p">))].</span><span class="n" style="color: #333;">to_list</span><span class="p">(),</span> <span class="nb" style="color: #0086b3;">list</span><span class="p">(</span><span class="nb" style="color: #0086b3;">range</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">)))</span></span>
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494
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<pre style="margin: 0;">+<span id="LC494" class="line" lang="python"> <span class="n" style="color: #333;">tags</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[[</span><span class="s" style="color: #d14;">'tag1'</span><span class="p">],</span> <span class="p">[</span><span class="s" style="color: #d14;">'tag2'</span><span class="p">],</span> <span class="p">[</span><span class="s" style="color: #d14;">'tag2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag1'</span><span class="p">],</span> <span class="p">[</span><span class="s" style="color: #d14;">'tag3'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag4'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag5'</span><span class="p">]]</span></span>
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495
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<pre style="margin: 0;">+<span id="LC495" class="line" lang="python"> <span class="k" style="font-weight: 600;">for</span> <span class="n" style="color: #333;">i</span><span class="p">,</span> <span class="n" style="color: #333;">v</span> <span class="ow" style="font-weight: 600;">in</span> <span class="nb" style="color: #0086b3;">enumerate</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">[(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tags'</span><span class="p">))].</span><span class="n" style="color: #333;">to_list</span><span class="p">()):</span></span>
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496
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<pre style="margin: 0;">+<span id="LC496" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">v</span><span class="p">,</span> <span class="n" style="color: #333;">tags</span><span class="p">[</span><span class="n" style="color: #333;">i</span><span class="p">])</span></span>
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497
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<pre style="margin: 0;">+<span id="LC497" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC498" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_to_hierarchical_dataframe_flat_table</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC499" class="line" lang="python"> <span class="n" style="color: #333;">hier_df</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">to_hierarchical_dataframe</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category0</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC500" class="line" lang="python"> <span class="n" style="color: #333;">assert_frame_equal</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">,</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">category0</span><span class="p">.</span><span class="n" style="color: #333;">to_dataframe</span><span class="p">())</span></span>
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<pre style="margin: 0;">+<span id="LC501" class="line" lang="python"> <span class="n" style="color: #333;">hier_df</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">to_hierarchical_dataframe</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">aligned_table</span><span class="p">)</span></span>
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502
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<pre style="margin: 0;">+<span id="LC502" class="line" lang="python"> <span class="n" style="color: #333;">assert_frame_equal</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">,</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">aligned_table</span><span class="p">.</span><span class="n" style="color: #333;">to_dataframe</span><span class="p">())</span></span>
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<pre style="margin: 0;">+<span id="LC503" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC504" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_drop_id_columns</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC505" class="line" lang="python"> <span class="n" style="color: #333;">hier_df</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">to_hierarchical_dataframe</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">parent_table</span><span class="p">)</span></span>
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506
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<pre style="margin: 0;">+<span id="LC506" class="line" lang="python"> <span class="n" style="color: #333;">cols</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">hier_df</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">.</span><span class="n" style="color: #333;">to_list</span><span class="p">()</span></span>
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507
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<pre style="margin: 0;">+<span id="LC507" class="line" lang="python"> <span class="n" style="color: #333;">mod_df</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">drop_id_columns</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">,</span> <span class="n" style="color: #333;">inplace</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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508
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<pre style="margin: 0;">+<span id="LC508" class="line" lang="python"> <span class="n" style="color: #333;">expected_cols</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'a1'</span><span class="p">)),</span></span>
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<pre style="margin: 0;">+<span id="LC509" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tags'</span><span class="p">)),</span></span>
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510
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<pre style="margin: 0;">+<span id="LC510" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'myid'</span><span class="p">))]</span></span>
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511
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<pre style="margin: 0;">+<span id="LC511" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">.</span><span class="n" style="color: #333;">to_list</span><span class="p">(),</span> <span class="n" style="color: #333;">cols</span><span class="p">)</span> <span class="c1" style="color: #998; font-style: italic;"># Test that no columns are dropped with inplace=False</span></span>
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<pre style="margin: 0;">+<span id="LC512" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">mod_df</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">.</span><span class="n" style="color: #333;">to_list</span><span class="p">(),</span> <span class="n" style="color: #333;">expected_cols</span><span class="p">)</span> <span class="c1" style="color: #998; font-style: italic;"># Assert that we got back a modified dataframe</span></span>
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<pre style="margin: 0;">+<span id="LC513" class="line" lang="python"> <span class="n" style="color: #333;">drop_id_columns</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">,</span> <span class="n" style="color: #333;">inplace</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="LC514" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">.</span><span class="n" style="color: #333;">to_list</span><span class="p">(),</span></span>
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515
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<pre style="margin: 0;">+<span id="LC515" class="line" lang="python"> <span class="n" style="color: #333;">expected_cols</span><span class="p">)</span></span>
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516
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<pre style="margin: 0;">+<span id="LC516" class="line" lang="python"> <span class="n" style="color: #333;">flat_df</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">to_hierarchical_dataframe</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">parent_table</span><span class="p">).</span><span class="n" style="color: #333;">reset_index</span><span class="p">(</span><span class="n" style="color: #333;">inplace</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="LC517" class="line" lang="python"> <span class="n" style="color: #333;">drop_id_columns</span><span class="p">(</span><span class="n" style="color: #333;">flat_df</span><span class="p">,</span> <span class="n" style="color: #333;">inplace</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="LC518" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">flat_df</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">.</span><span class="n" style="color: #333;">to_list</span><span class="p">(),</span></span>
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519
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<pre style="margin: 0;">+<span id="LC519" class="line" lang="python"> <span class="p">[(</span><span class="s" style="color: #d14;">'parent_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'p1'</span><span class="p">),</span></span>
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520
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<pre style="margin: 0;">+<span id="LC520" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'a1'</span><span class="p">)),</span></span>
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<pre style="margin: 0;">+<span id="LC521" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tags'</span><span class="p">)),</span></span>
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<pre style="margin: 0;">+<span id="LC522" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'myid'</span><span class="p">))])</span></span>
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<pre style="margin: 0;">+<span id="LC523" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC524" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_flatten_column_index</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC525" class="line" lang="python"> <span class="n" style="color: #333;">hier_df</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">to_hierarchical_dataframe</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">parent_table</span><span class="p">).</span><span class="n" style="color: #333;">reset_index</span><span class="p">()</span></span>
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<pre style="margin: 0;">+<span id="LC526" class="line" lang="python"> <span class="n" style="color: #333;">cols</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">hier_df</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">.</span><span class="n" style="color: #333;">to_list</span><span class="p">()</span></span>
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<pre style="margin: 0;">+<span id="LC527" class="line" lang="python"> <span class="n" style="color: #333;">expexted_cols</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[(</span><span class="s" style="color: #d14;">'parent_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span></span>
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<pre style="margin: 0;">+<span id="LC528" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'parent_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'p1'</span><span class="p">),</span></span>
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<pre style="margin: 0;">+<span id="LC529" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span></span>
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<pre style="margin: 0;">+<span id="LC530" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'a1'</span><span class="p">),</span></span>
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<pre style="margin: 0;">+<span id="LC531" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span></span>
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<pre style="margin: 0;">+<span id="LC532" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tags'</span><span class="p">),</span></span>
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533
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<pre style="margin: 0;">+<span id="LC533" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'myid'</span><span class="p">)]</span></span>
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<pre style="margin: 0;">+<span id="LC534" class="line" lang="python"> <span class="n" style="color: #333;">df</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">flatten_column_index</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">,</span> <span class="n" style="color: #333;">inplace</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="LC535" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Test that our columns have not changed with inplace=False</span></span>
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<pre style="margin: 0;">+<span id="LC536" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">.</span><span class="n" style="color: #333;">to_list</span><span class="p">(),</span> <span class="n" style="color: #333;">cols</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC537" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">df</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">.</span><span class="n" style="color: #333;">to_list</span><span class="p">(),</span> <span class="n" style="color: #333;">expexted_cols</span><span class="p">)</span> <span class="c1" style="color: #998; font-style: italic;"># make sure we got back a modified dataframe</span></span>
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<pre style="margin: 0;">+<span id="LC538" class="line" lang="python"> <span class="n" style="color: #333;">flatten_column_index</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">,</span> <span class="n" style="color: #333;">inplace</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">True</span><span class="p">)</span> <span class="c1" style="color: #998; font-style: italic;"># make sure we can also directly flatten inplace</span></span>
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539
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<pre style="margin: 0;">+<span id="LC539" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">.</span><span class="n" style="color: #333;">to_list</span><span class="p">(),</span> <span class="n" style="color: #333;">expexted_cols</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC540" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Test that we can apply flatten_column_index again on our already modified dataframe to reduce the levels</span></span>
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<pre style="margin: 0;">+<span id="LC541" class="line" lang="python"> <span class="n" style="color: #333;">flatten_column_index</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">,</span> <span class="n" style="color: #333;">inplace</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">True</span><span class="p">,</span> <span class="n" style="color: #333;">max_levels</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">2</span><span class="p">)</span></span>
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542
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<pre style="margin: 0;">+<span id="LC542" class="line" lang="python"> <span class="n" style="color: #333;">expexted_cols</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[(</span><span class="s" style="color: #d14;">'parent_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'parent_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'p1'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span></span>
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543
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<pre style="margin: 0;">+<span id="LC543" class="line" lang="python"> <span class="p">(</span><span class="s" style="color: #d14;">'aligned_table'</span><span class="p">,</span> <span class="s" style="color: #d14;">'a1'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tags'</span><span class="p">),</span> <span class="p">(</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="s" style="color: #d14;">'myid'</span><span class="p">)]</span></span>
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<pre style="margin: 0;">+<span id="LC544" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">.</span><span class="n" style="color: #333;">to_list</span><span class="p">(),</span> <span class="n" style="color: #333;">expexted_cols</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC545" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Test that we can directly reduce the max_levels to just 1</span></span>
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<pre style="margin: 0;">+<span id="LC546" class="line" lang="python"> <span class="n" style="color: #333;">hier_df</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">to_hierarchical_dataframe</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">parent_table</span><span class="p">).</span><span class="n" style="color: #333;">reset_index</span><span class="p">()</span></span>
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547
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<pre style="margin: 0;">+<span id="LC547" class="line" lang="python"> <span class="n" style="color: #333;">flatten_column_index</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">,</span> <span class="n" style="color: #333;">inplace</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">True</span><span class="p">,</span> <span class="n" style="color: #333;">max_levels</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">1</span><span class="p">)</span></span>
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548
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<pre style="margin: 0;">+<span id="LC548" class="line" lang="python"> <span class="n" style="color: #333;">expexted_cols</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[</span><span class="s" style="color: #d14;">'id'</span><span class="p">,</span> <span class="s" style="color: #d14;">'p1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">,</span> <span class="s" style="color: #d14;">'a1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tags'</span><span class="p">,</span> <span class="s" style="color: #d14;">'myid'</span><span class="p">]</span></span>
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<pre style="margin: 0;">+<span id="LC549" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">.</span><span class="n" style="color: #333;">to_list</span><span class="p">(),</span> <span class="n" style="color: #333;">expexted_cols</span><span class="p">)</span></span>
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551
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<pre style="margin: 0;">+<span id="LC551" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_flatten_column_index_already_flat_index</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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552
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<pre style="margin: 0;">+<span id="LC552" class="line" lang="python"> <span class="n" style="color: #333;">hier_df</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">to_hierarchical_dataframe</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">parent_table</span><span class="p">).</span><span class="n" style="color: #333;">reset_index</span><span class="p">()</span></span>
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553
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<pre style="margin: 0;">+<span id="LC553" class="line" lang="python"> <span class="n" style="color: #333;">flatten_column_index</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">,</span> <span class="n" style="color: #333;">inplace</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">True</span><span class="p">,</span> <span class="n" style="color: #333;">max_levels</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">1</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC554" class="line" lang="python"> <span class="n" style="color: #333;">expexted_cols</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[</span><span class="s" style="color: #d14;">'id'</span><span class="p">,</span> <span class="s" style="color: #d14;">'p1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">,</span> <span class="s" style="color: #d14;">'a1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'id'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tags'</span><span class="p">,</span> <span class="s" style="color: #d14;">'myid'</span><span class="p">]</span></span>
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<pre style="margin: 0;">+<span id="LC555" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">.</span><span class="n" style="color: #333;">to_list</span><span class="p">(),</span> <span class="n" style="color: #333;">expexted_cols</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC556" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Now try to flatten the already flat columns again to make sure nothing changes</span></span>
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<pre style="margin: 0;">+<span id="LC557" class="line" lang="python"> <span class="n" style="color: #333;">flatten_column_index</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">,</span> <span class="n" style="color: #333;">inplace</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">True</span><span class="p">,</span> <span class="n" style="color: #333;">max_levels</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">1</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC558" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="n" style="color: #333;">hier_df</span><span class="p">.</span><span class="n" style="color: #333;">columns</span><span class="p">.</span><span class="n" style="color: #333;">to_list</span><span class="p">(),</span> <span class="n" style="color: #333;">expexted_cols</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC559" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC560" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_flatten_column_index_bad_maxlevels</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC561" class="line" lang="python"> <span class="n" style="color: #333;">hier_df</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">to_hierarchical_dataframe</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">parent_table</span><span class="p">)</span></span>
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562
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<pre style="margin: 0;">+<span id="LC562" class="line" lang="python"> <span class="k" style="font-weight: 600;">with</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertRaisesWith</span><span class="p">(</span><span class="nb" style="color: #0086b3;">ValueError</span><span class="p">,</span> <span class="s" style="color: #d14;">'max_levels must be greater than 0'</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC563" class="line" lang="python"> <span class="n" style="color: #333;">flatten_column_index</span><span class="p">(</span><span class="n" style="color: #333;">dataframe</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">hier_df</span><span class="p">,</span> <span class="n" style="color: #333;">inplace</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">True</span><span class="p">,</span> <span class="n" style="color: #333;">max_levels</span><span class="o" style="font-weight: 600;">=-</span><span class="mi" style="color: #099;">1</span><span class="p">)</span></span>
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564
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<pre style="margin: 0;">+<span id="LC564" class="line" lang="python"> <span class="k" style="font-weight: 600;">with</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertRaisesWith</span><span class="p">(</span><span class="nb" style="color: #0086b3;">ValueError</span><span class="p">,</span> <span class="s" style="color: #d14;">'max_levels must be greater than 0'</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC565" class="line" lang="python"> <span class="n" style="color: #333;">flatten_column_index</span><span class="p">(</span><span class="n" style="color: #333;">dataframe</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">hier_df</span><span class="p">,</span> <span class="n" style="color: #333;">inplace</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">True</span><span class="p">,</span> <span class="n" style="color: #333;">max_levels</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">0</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC566" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC567" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC568" class="line" lang="python"><span class="k" style="font-weight: 600;">class</span> <span class="nc" style="color: #458; font-weight: 600;">TestLinkedDynamicTables</span><span class="p">(</span><span class="n" style="color: #333;">TestCase</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC569" class="line" lang="python"> <span class="s" style="color: #d14;">"""</span></span>
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<pre style="margin: 0;">+<span id="LC570" class="line" lang="python"><span class="s" style="color: #d14;"> Test functionality specific to DynamicTables containing DynamicTableRegion columns.</span></span>
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571
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<pre style="margin: 0;">+<span id="LC571" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC572" class="line" lang="python"><span class="s" style="color: #d14;"> Since these functions only implements front-end convenient functions for DynamicTable</span></span>
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<pre style="margin: 0;">+<span id="LC573" class="line" lang="python"><span class="s" style="color: #d14;"> we do not need to worry about I/O here (that is tested elsewere), ut it is sufficient if</span></span>
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<pre style="margin: 0;">+<span id="LC574" class="line" lang="python"><span class="s" style="color: #d14;"> we test with container class. The only time I/O becomes relevant is on read in case that, e.g., a</span></span>
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<pre style="margin: 0;">+<span id="LC575" class="line" lang="python"><span class="s" style="color: #d14;"> h5py.Dataset may behave differently than a numpy array.</span></span>
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<pre style="margin: 0;">+<span id="LC576" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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<pre style="margin: 0;">+<span id="LC577" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">setUp</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC578" class="line" lang="python"> <span class="s" style="color: #d14;">"""</span></span>
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<pre style="margin: 0;">+<span id="LC579" class="line" lang="python"><span class="s" style="color: #d14;"> Create basic set of linked tables consisting of</span></span>
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<pre style="margin: 0;">+<span id="LC580" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC581" class="line" lang="python"><span class="s" style="color: #d14;"> table_level2 ---> table_level1 ----> table_level_0_0</span></span>
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<pre style="margin: 0;">+<span id="LC582" class="line" lang="python"><span class="s" style="color: #d14;"> </span><span class="se" style="color: #d14;">\</span></span>
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<pre style="margin: 0;">+<span id="LC583" class="line" lang="python"><span class="s" style="color: #d14;"> ------> table_level_0_1</span></span>
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<pre style="margin: 0;">+<span id="LC584" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC585" class="line" lang="python"><span class="s" style="color: #d14;"> """</span></span>
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<pre style="margin: 0;">+<span id="LC586" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_0</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'level0_0'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">"level0_0 DynamicTable"</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC587" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_1</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTable</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'level0_1'</span><span class="p">,</span> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">"level0_1 DynamicTable"</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC588" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level1</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTableMultiDTR</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'level1'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC589" class="line" lang="python"> <span class="n" style="color: #333;">child_table1</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_0</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC590" class="line" lang="python"> <span class="n" style="color: #333;">child_table2</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_1</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC591" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level2</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTableSingleDTR</span><span class="p">(</span><span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'level2'</span><span class="p">,</span> <span class="n" style="color: #333;">child_table1</span><span class="o" style="font-weight: 600;">=</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level1</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC592" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC593" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">tearDown</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC594" class="line" lang="python"> <span class="k" style="font-weight: 600;">del</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_0</span></span>
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<pre style="margin: 0;">+<span id="LC595" class="line" lang="python"> <span class="k" style="font-weight: 600;">del</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_1</span></span>
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<pre style="margin: 0;">+<span id="LC596" class="line" lang="python"> <span class="k" style="font-weight: 600;">del</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level1</span></span>
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<pre style="margin: 0;">+<span id="LC597" class="line" lang="python"> <span class="k" style="font-weight: 600;">del</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level2</span></span>
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<pre style="margin: 0;">+<span id="LC598" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC599" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">popolate_tables</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC600" class="line" lang="python"> <span class="s" style="color: #d14;">"""Helper function to populate our tables generate in setUp with some simple data"""</span></span>
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<pre style="margin: 0;">+<span id="LC601" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Level 0 0 table. I.e., first table on level 0</span></span>
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602
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<pre style="margin: 0;">+<span id="LC602" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_0</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">10</span><span class="p">)</span></span>
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603
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<pre style="margin: 0;">+<span id="LC603" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_0</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">11</span><span class="p">)</span></span>
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604
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<pre style="margin: 0;">+<span id="LC604" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_0</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">12</span><span class="p">)</span></span>
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605
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<pre style="margin: 0;">+<span id="LC605" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_0</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">13</span><span class="p">)</span></span>
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606
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<pre style="margin: 0;">+<span id="LC606" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_0</span><span class="p">.</span><span class="n" style="color: #333;">add_column</span><span class="p">(</span><span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'tag1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag3'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag4'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag5'</span><span class="p">],</span></span>
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607
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<pre style="margin: 0;">+<span id="LC607" class="line" lang="python"> <span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'tags'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC608" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'custom tags'</span><span class="p">,</span></span>
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609
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<pre style="margin: 0;">+<span id="LC609" class="line" lang="python"> <span class="n" style="color: #333;">index</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="mi" style="color: #099;">2</span><span class="p">,</span> <span class="mi" style="color: #099;">4</span><span class="p">,</span> <span class="mi" style="color: #099;">7</span><span class="p">])</span></span>
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610
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<pre style="margin: 0;">+<span id="LC610" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_0</span><span class="p">.</span><span class="n" style="color: #333;">add_column</span><span class="p">(</span><span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">),</span></span>
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<pre style="margin: 0;">+<span id="LC611" class="line" lang="python"> <span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'myid'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC612" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'custom ids'</span><span class="p">,</span></span>
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613
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<pre style="margin: 0;">+<span id="LC613" class="line" lang="python"> <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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614
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<pre style="margin: 0;">+<span id="LC614" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Level 0 1 table. I.e., second table on level 0</span></span>
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615
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<pre style="margin: 0;">+<span id="LC615" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_1</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">14</span><span class="p">)</span></span>
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616
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<pre style="margin: 0;">+<span id="LC616" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_1</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">15</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC617" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_1</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">16</span><span class="p">)</span></span>
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618
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<pre style="margin: 0;">+<span id="LC618" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_1</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">17</span><span class="p">)</span></span>
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619
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<pre style="margin: 0;">+<span id="LC619" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_1</span><span class="p">.</span><span class="n" style="color: #333;">add_column</span><span class="p">(</span><span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'tag1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag3'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag3'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag4'</span><span class="p">],</span></span>
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<pre style="margin: 0;">+<span id="LC620" class="line" lang="python"> <span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'tags'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC621" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'custom tags'</span><span class="p">,</span></span>
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622
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<pre style="margin: 0;">+<span id="LC622" class="line" lang="python"> <span class="n" style="color: #333;">index</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="mi" style="color: #099;">2</span><span class="p">,</span> <span class="mi" style="color: #099;">4</span><span class="p">,</span> <span class="mi" style="color: #099;">6</span><span class="p">,</span> <span class="mi" style="color: #099;">7</span><span class="p">])</span></span>
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<pre style="margin: 0;">+<span id="LC623" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_1</span><span class="p">.</span><span class="n" style="color: #333;">add_column</span><span class="p">(</span><span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">4</span><span class="p">),</span></span>
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<pre style="margin: 0;">+<span id="LC624" class="line" lang="python"> <span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'myid'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC625" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'custom ids'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC626" class="line" lang="python"> <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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<pre style="margin: 0;">+<span id="LC627" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Level 1 table</span></span>
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<pre style="margin: 0;">+<span id="LC628" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level1</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</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;">child_table_ref1</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">,</span> <span class="mi" style="color: #099;">1</span><span class="p">],</span> <span class="n" style="color: #333;">child_table_ref2</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">])</span></span>
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629
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<pre style="margin: 0;">+<span id="LC629" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level1</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="n" style="color: #333;">child_table_ref1</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="mi" style="color: #099;">2</span><span class="p">],</span> <span class="n" style="color: #333;">child_table_ref2</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="mi" style="color: #099;">2</span><span class="p">])</span></span>
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<pre style="margin: 0;">+<span id="LC630" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level1</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">2</span><span class="p">,</span> <span class="n" style="color: #333;">child_table_ref1</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="mi" style="color: #099;">3</span><span class="p">],</span> <span class="n" style="color: #333;">child_table_ref2</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="mi" style="color: #099;">3</span><span class="p">])</span></span>
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631
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<pre style="margin: 0;">+<span id="LC631" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level1</span><span class="p">.</span><span class="n" style="color: #333;">add_column</span><span class="p">(</span><span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'tag1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag2'</span><span class="p">],</span></span>
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<pre style="margin: 0;">+<span id="LC632" class="line" lang="python"> <span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'tag'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC633" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'custom tag'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC634" class="line" lang="python"> <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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<pre style="margin: 0;">+<span id="LC635" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level1</span><span class="p">.</span><span class="n" style="color: #333;">add_column</span><span class="p">(</span><span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="s" style="color: #d14;">'tag1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag3'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag3'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag4'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag5'</span><span class="p">],</span></span>
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<pre style="margin: 0;">+<span id="LC636" class="line" lang="python"> <span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'tags'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC637" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'custom tags'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC638" class="line" lang="python"> <span class="n" style="color: #333;">index</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="mi" style="color: #099;">2</span><span class="p">,</span> <span class="mi" style="color: #099;">4</span><span class="p">,</span> <span class="mi" style="color: #099;">7</span><span class="p">])</span></span>
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<pre style="margin: 0;">+<span id="LC639" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Level 2 data</span></span>
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<pre style="margin: 0;">+<span id="LC640" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level2</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</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;">child_table_ref1</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">,</span> <span class="p">])</span></span>
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<pre style="margin: 0;">+<span id="LC641" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level2</span><span class="p">.</span><span class="n" style="color: #333;">add_row</span><span class="p">(</span><span class="nb" style="color: #0086b3;">id</span><span class="o" style="font-weight: 600;">=</span><span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="n" style="color: #333;">child_table_ref1</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="mi" style="color: #099;">2</span><span class="p">])</span></span>
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<pre style="margin: 0;">+<span id="LC642" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level2</span><span class="p">.</span><span class="n" style="color: #333;">add_column</span><span class="p">(</span><span class="n" style="color: #333;">data</span><span class="o" style="font-weight: 600;">=</span><span class="p">[</span><span class="mi" style="color: #099;">10</span><span class="p">,</span> <span class="mi" style="color: #099;">12</span><span class="p">],</span></span>
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<pre style="margin: 0;">+<span id="LC643" class="line" lang="python"> <span class="n" style="color: #333;">name</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'filter'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC644" class="line" lang="python"> <span class="n" style="color: #333;">description</span><span class="o" style="font-weight: 600;">=</span><span class="s" style="color: #d14;">'filter value'</span><span class="p">,</span></span>
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<pre style="margin: 0;">+<span id="LC645" class="line" lang="python"> <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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<pre style="margin: 0;">+<span id="LC646" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC647" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_populate_table_hierarchy</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC648" class="line" lang="python"> <span class="s" style="color: #d14;">"""Test that just checks that populating the tables with data works correctly"""</span></span>
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<pre style="margin: 0;">+<span id="LC649" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">popolate_tables</span><span class="p">()</span></span>
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<pre style="margin: 0;">+<span id="LC650" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Check level0 0 data</span></span>
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<pre style="margin: 0;">+<span id="LC651" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_0</span><span class="p">.</span><span class="nb" style="color: #0086b3;">id</span><span class="p">[:],</span> <span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">10</span><span class="p">,</span> <span class="mi" style="color: #099;">14</span><span class="p">,</span> <span class="mi" style="color: #099;">1</span><span class="p">).</span><span class="n" style="color: #333;">tolist</span><span class="p">())</span></span>
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<pre style="margin: 0;">+<span id="LC652" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_0</span><span class="p">[</span><span class="s" style="color: #d14;">'tags'</span><span class="p">][:],</span></span>
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<pre style="margin: 0;">+<span id="LC653" class="line" lang="python"> <span class="p">[[</span><span class="s" style="color: #d14;">'tag1'</span><span class="p">],</span> <span class="p">[</span><span class="s" style="color: #d14;">'tag2'</span><span class="p">],</span> <span class="p">[</span><span class="s" style="color: #d14;">'tag2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag1'</span><span class="p">],</span> <span class="p">[</span><span class="s" style="color: #d14;">'tag3'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag4'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag5'</span><span class="p">]])</span></span>
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<pre style="margin: 0;">+<span id="LC654" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_0</span><span class="p">[</span><span class="s" style="color: #d14;">'myid'</span><span class="p">][:].</span><span class="n" style="color: #333;">tolist</span><span class="p">(),</span> <span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">0</span><span class="p">,</span> <span class="mi" style="color: #099;">4</span><span class="p">,</span> <span class="mi" style="color: #099;">1</span><span class="p">).</span><span class="n" style="color: #333;">tolist</span><span class="p">())</span></span>
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<pre style="margin: 0;">+<span id="LC655" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Check level0 1 data</span></span>
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<pre style="margin: 0;">+<span id="LC656" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_1</span><span class="p">.</span><span class="nb" style="color: #0086b3;">id</span><span class="p">[:],</span> <span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">14</span><span class="p">,</span> <span class="mi" style="color: #099;">18</span><span class="p">,</span> <span class="mi" style="color: #099;">1</span><span class="p">).</span><span class="n" style="color: #333;">tolist</span><span class="p">())</span></span>
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<pre style="margin: 0;">+<span id="LC657" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_1</span><span class="p">[</span><span class="s" style="color: #d14;">'tags'</span><span class="p">][:],</span></span>
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<pre style="margin: 0;">+<span id="LC658" class="line" lang="python"> <span class="p">[[</span><span class="s" style="color: #d14;">'tag1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag1'</span><span class="p">],</span> <span class="p">[</span><span class="s" style="color: #d14;">'tag2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag2'</span><span class="p">],</span> <span class="p">[</span><span class="s" style="color: #d14;">'tag3'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag3'</span><span class="p">],</span> <span class="p">[</span><span class="s" style="color: #d14;">'tag4'</span><span class="p">]])</span></span>
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659
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<pre style="margin: 0;">+<span id="LC659" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_1</span><span class="p">[</span><span class="s" style="color: #d14;">'myid'</span><span class="p">][:].</span><span class="n" style="color: #333;">tolist</span><span class="p">(),</span> <span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">0</span><span class="p">,</span> <span class="mi" style="color: #099;">4</span><span class="p">,</span> <span class="mi" style="color: #099;">1</span><span class="p">).</span><span class="n" style="color: #333;">tolist</span><span class="p">())</span></span>
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<pre style="margin: 0;">+<span id="LC660" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Check level1 data</span></span>
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661
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<pre style="margin: 0;">+<span id="LC661" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level1</span><span class="p">.</span><span class="nb" style="color: #0086b3;">id</span><span class="p">[:],</span> <span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">0</span><span class="p">,</span> <span class="mi" style="color: #099;">3</span><span class="p">,</span> <span class="mi" style="color: #099;">1</span><span class="p">).</span><span class="n" style="color: #333;">tolist</span><span class="p">())</span></span>
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662
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<pre style="margin: 0;">+<span id="LC662" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level1</span><span class="p">[</span><span class="s" style="color: #d14;">'tag'</span><span class="p">][:],</span> <span class="p">[</span><span class="s" style="color: #d14;">'tag1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag2'</span><span class="p">,</span> <span class="s" style="color: #d14;">'tag2'</span><span class="p">])</span></span>
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663
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<pre style="margin: 0;">+<span id="LC663" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertTrue</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level1</span><span class="p">[</span><span class="s" style="color: #d14;">'child_table_ref1'</span><span class="p">].</span><span class="n" style="color: #333;">target</span><span class="p">.</span><span class="n" style="color: #333;">table</span> <span class="ow" style="font-weight: 600;">is</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_0</span><span class="p">)</span></span>
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664
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<pre style="margin: 0;">+<span id="LC664" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertTrue</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level1</span><span class="p">[</span><span class="s" style="color: #d14;">'child_table_ref2'</span><span class="p">].</span><span class="n" style="color: #333;">target</span><span class="p">.</span><span class="n" style="color: #333;">table</span> <span class="ow" style="font-weight: 600;">is</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_1</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC665" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="nb" style="color: #0086b3;">len</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level1</span><span class="p">[</span><span class="s" style="color: #d14;">'child_table_ref1'</span><span class="p">].</span><span class="n" style="color: #333;">target</span><span class="p">.</span><span class="n" style="color: #333;">table</span><span class="p">),</span> <span class="mi" style="color: #099;">4</span><span class="p">)</span></span>
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666
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<pre style="margin: 0;">+<span id="LC666" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="nb" style="color: #0086b3;">len</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level1</span><span class="p">[</span><span class="s" style="color: #d14;">'child_table_ref2'</span><span class="p">].</span><span class="n" style="color: #333;">target</span><span class="p">.</span><span class="n" style="color: #333;">table</span><span class="p">),</span> <span class="mi" style="color: #099;">4</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC667" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># Check level2 data</span></span>
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668
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<pre style="margin: 0;">+<span id="LC668" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level2</span><span class="p">.</span><span class="nb" style="color: #0086b3;">id</span><span class="p">[:],</span> <span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">arange</span><span class="p">(</span><span class="mi" style="color: #099;">0</span><span class="p">,</span> <span class="mi" style="color: #099;">2</span><span class="p">,</span> <span class="mi" style="color: #099;">1</span><span class="p">).</span><span class="n" style="color: #333;">tolist</span><span class="p">())</span></span>
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669
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<pre style="margin: 0;">+<span id="LC669" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level2</span><span class="p">[</span><span class="s" style="color: #d14;">'filter'</span><span class="p">][:],</span> <span class="p">[</span><span class="mi" style="color: #099;">10</span><span class="p">,</span> <span class="mi" style="color: #099;">12</span><span class="p">])</span></span>
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<pre style="margin: 0;">+<span id="LC670" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertTrue</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level2</span><span class="p">[</span><span class="s" style="color: #d14;">'child_table_ref1'</span><span class="p">].</span><span class="n" style="color: #333;">target</span><span class="p">.</span><span class="n" style="color: #333;">table</span> <span class="ow" style="font-weight: 600;">is</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level1</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC671" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="nb" style="color: #0086b3;">len</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level2</span><span class="p">[</span><span class="s" style="color: #d14;">'child_table_ref1'</span><span class="p">].</span><span class="n" style="color: #333;">target</span><span class="p">.</span><span class="n" style="color: #333;">table</span><span class="p">),</span> <span class="mi" style="color: #099;">3</span><span class="p">)</span></span>
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<pre style="margin: 0;">+<span id="LC672" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC673" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_get_foreign_columns</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC674" class="line" lang="python"> <span class="s" style="color: #d14;">"""Test DynamicTable.get_foreign_columns"""</span></span>
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<pre style="margin: 0;">+<span id="LC675" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">popolate_tables</span><span class="p">()</span></span>
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<pre style="margin: 0;">+<span id="LC676" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_0</span><span class="p">.</span><span class="n" style="color: #333;">get_foreign_columns</span><span class="p">(),</span> <span class="p">[])</span></span>
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<pre style="margin: 0;">+<span id="LC677" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_1</span><span class="p">.</span><span class="n" style="color: #333;">get_foreign_columns</span><span class="p">(),</span> <span class="p">[])</span></span>
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<pre style="margin: 0;">+<span id="LC678" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level1</span><span class="p">.</span><span class="n" style="color: #333;">get_foreign_columns</span><span class="p">(),</span> <span class="p">[</span><span class="s" style="color: #d14;">'child_table_ref1'</span><span class="p">,</span> <span class="s" style="color: #d14;">'child_table_ref2'</span><span class="p">])</span></span>
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<pre style="margin: 0;">+<span id="LC679" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level2</span><span class="p">.</span><span class="n" style="color: #333;">get_foreign_columns</span><span class="p">(),</span> <span class="p">[</span><span class="s" style="color: #d14;">'child_table_ref1'</span><span class="p">])</span></span>
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<pre style="margin: 0;">+<span id="LC680" class="line" lang="python"></span>
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<pre style="margin: 0;">+<span id="LC681" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_has_foreign_columns</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC682" class="line" lang="python"> <span class="s" style="color: #d14;">"""Test DynamicTable.get_foreign_columns"""</span></span>
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<pre style="margin: 0;">+<span id="LC683" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">popolate_tables</span><span class="p">()</span></span>
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684
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<pre style="margin: 0;">+<span id="LC684" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertFalse</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_0</span><span class="p">.</span><span class="n" style="color: #333;">has_foreign_columns</span><span class="p">())</span></span>
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685
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<pre style="margin: 0;">+<span id="LC685" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertFalse</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_1</span><span class="p">.</span><span class="n" style="color: #333;">has_foreign_columns</span><span class="p">())</span></span>
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686
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<pre style="margin: 0;">+<span id="LC686" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertTrue</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level1</span><span class="p">.</span><span class="n" style="color: #333;">has_foreign_columns</span><span class="p">())</span></span>
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<pre style="margin: 0;">+<span id="LC687" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertTrue</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level2</span><span class="p">.</span><span class="n" style="color: #333;">has_foreign_columns</span><span class="p">())</span></span>
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<pre style="margin: 0;">+<span id="LC688" class="line" lang="python"></span>
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689
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<pre style="margin: 0;">+<span id="LC689" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_get_linked_tables</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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<pre style="margin: 0;">+<span id="LC690" class="line" lang="python"> <span class="s" style="color: #d14;">"""Test DynamicTable.get_linked_tables"""</span></span>
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<pre style="margin: 0;">+<span id="LC691" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">popolate_tables</span><span class="p">()</span></span>
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<pre style="margin: 0;">+<span id="LC692" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># check level0_0</span></span>
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693
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<pre style="margin: 0;">+<span id="LC693" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_0</span><span class="p">.</span><span class="n" style="color: #333;">get_linked_tables</span><span class="p">(),</span> <span class="p">[])</span></span>
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694
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<pre style="margin: 0;">+<span id="LC694" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># check level0_0</span></span>
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695
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<pre style="margin: 0;">+<span id="LC695" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertListEqual</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_1</span><span class="p">.</span><span class="n" style="color: #333;">get_linked_tables</span><span class="p">(),</span> <span class="p">[])</span></span>
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696
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<pre style="margin: 0;">+<span id="LC696" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># check level1</span></span>
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<pre style="margin: 0;">+<span id="LC697" class="line" lang="python"> <span class="n" style="color: #333;">temp</span> <span class="o" style="font-weight: 600;">=</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level1</span><span class="p">.</span><span class="n" style="color: #333;">get_linked_tables</span><span class="p">()</span></span>
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698
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<pre style="margin: 0;">+<span id="LC698" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="nb" style="color: #0086b3;">len</span><span class="p">(</span><span class="n" style="color: #333;">temp</span><span class="p">),</span> <span class="mi" style="color: #099;">2</span><span class="p">)</span></span>
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699
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<pre style="margin: 0;">+<span id="LC699" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="n" style="color: #333;">temp</span><span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">].</span><span class="n" style="color: #333;">source_table</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level1</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">)</span></span>
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700
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<pre style="margin: 0;">+<span id="LC700" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="n" style="color: #333;">temp</span><span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">].</span><span class="n" style="color: #333;">source_column</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="s" style="color: #d14;">'child_table_ref1'</span><span class="p">)</span></span>
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701
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<pre style="margin: 0;">+<span id="LC701" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="n" style="color: #333;">temp</span><span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">].</span><span class="n" style="color: #333;">target_table</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_0</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">)</span></span>
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702
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<pre style="margin: 0;">+<span id="LC702" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="n" style="color: #333;">temp</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">].</span><span class="n" style="color: #333;">source_table</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level1</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">)</span></span>
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703
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<pre style="margin: 0;">+<span id="LC703" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="n" style="color: #333;">temp</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">].</span><span class="n" style="color: #333;">source_column</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="s" style="color: #d14;">'child_table_ref2'</span><span class="p">)</span></span>
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704
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<pre style="margin: 0;">+<span id="LC704" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="n" style="color: #333;">temp</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">].</span><span class="n" style="color: #333;">target_table</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_1</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">)</span></span>
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705
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<pre style="margin: 0;">+<span id="LC705" class="line" lang="python"> <span class="c1" style="color: #998; font-style: italic;"># check level2</span></span>
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706
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<pre style="margin: 0;">+<span id="LC706" class="line" lang="python"> <span class="n" style="color: #333;">temp</span> <span class="o" style="font-weight: 600;">=</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level2</span><span class="p">.</span><span class="n" style="color: #333;">get_linked_tables</span><span class="p">()</span></span>
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707
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<pre style="margin: 0;">+<span id="LC707" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="nb" style="color: #0086b3;">len</span><span class="p">(</span><span class="n" style="color: #333;">temp</span><span class="p">),</span> <span class="mi" style="color: #099;">3</span><span class="p">)</span></span>
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708
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<pre style="margin: 0;">+<span id="LC708" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="n" style="color: #333;">temp</span><span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">].</span><span class="n" style="color: #333;">source_table</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level2</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">)</span></span>
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709
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<pre style="margin: 0;">+<span id="LC709" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="n" style="color: #333;">temp</span><span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">].</span><span class="n" style="color: #333;">source_column</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="s" style="color: #d14;">'child_table_ref1'</span><span class="p">)</span></span>
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710
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<pre style="margin: 0;">+<span id="LC710" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="n" style="color: #333;">temp</span><span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">].</span><span class="n" style="color: #333;">target_table</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level1</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">)</span></span>
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711
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<pre style="margin: 0;">+<span id="LC711" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="n" style="color: #333;">temp</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">].</span><span class="n" style="color: #333;">source_table</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level1</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">)</span></span>
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712
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<pre style="margin: 0;">+<span id="LC712" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="n" style="color: #333;">temp</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">].</span><span class="n" style="color: #333;">source_column</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="s" style="color: #d14;">'child_table_ref1'</span><span class="p">)</span></span>
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713
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<pre style="margin: 0;">+<span id="LC713" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="n" style="color: #333;">temp</span><span class="p">[</span><span class="mi" style="color: #099;">1</span><span class="p">].</span><span class="n" style="color: #333;">target_table</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_0</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">)</span></span>
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714
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<pre style="margin: 0;">+<span id="LC714" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="n" style="color: #333;">temp</span><span class="p">[</span><span class="mi" style="color: #099;">2</span><span class="p">].</span><span class="n" style="color: #333;">source_table</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level1</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">)</span></span>
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715
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<pre style="margin: 0;">+<span id="LC715" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="n" style="color: #333;">temp</span><span class="p">[</span><span class="mi" style="color: #099;">2</span><span class="p">].</span><span class="n" style="color: #333;">source_column</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="s" style="color: #d14;">'child_table_ref2'</span><span class="p">)</span></span>
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716
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<pre style="margin: 0;">+<span id="LC716" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="n" style="color: #333;">temp</span><span class="p">[</span><span class="mi" style="color: #099;">2</span><span class="p">].</span><span class="n" style="color: #333;">target_table</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">,</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">table_level0_1</span><span class="p">.</span><span class="n" style="color: #333;">name</span><span class="p">)</span></span></pre>
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<a href="https://salsa.debian.org/med-team/hdmf/-/compare/ddbbea37b32c87d9b9ad4bb70566aa2f108798ea...11cc62d7b77a1ebd5519b708637ca24d6ab8d874#f6b63332936c0b2c3dcad28936b9b836358012b9"><strong>tests/unit/common/test_table.py</strong></a>
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<td class="diff-line-num unfold js-unfold old_line" data-linenumber="799" 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">@@ -799,7 +799,7 @@ class TestDynamicTableRegion(TestCase):</td>
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<pre style="margin: 0;"> <span id="LC799" class="line" lang="python"> <span class="n" style="color: #333;">table</span> <span class="o" style="font-weight: 600;">=</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">with_columns_and_data</span><span class="p">()</span></span>
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<pre style="margin: 0;"> <span id="LC800" class="line" lang="python"> <span class="n" style="color: #333;">dynamic_table_region</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">DynamicTableRegion</span><span class="p">(</span><span class="s" style="color: #d14;">'dtr'</span><span class="p">,</span> <span class="p">[</span><span class="mi" style="color: #099;">0</span><span class="p">,</span> <span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="mi" style="color: #099;">2</span><span class="p">,</span> <span class="mi" style="color: #099;">2</span><span class="p">],</span> <span class="s" style="color: #d14;">'desc'</span><span class="p">,</span> <span class="n" style="color: #333;">table</span><span class="o" style="font-weight: 600;">=</span><span class="n" style="color: #333;">table</span><span class="p">)</span></span>
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801
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<pre style="margin: 0;"> <span id="LC801" class="line" lang="python"> <span class="k" style="font-weight: 600;">with</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertRaises</span><span class="p">(</span><span class="nb" style="color: #0086b3;">ValueError</span><span class="p">):</span></span>
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802
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<pre style="margin: 0;">-<span id="LC802" class="line" lang="python"> <span class="n" style="color: #333;">_</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">dynamic_table_region</span><span class="p">[</span><span class="s" style="color: #d14;"><span class="idiff left right">'bad index'</span></span><span class="p">]</span></span>
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<pre style="margin: 0;">+<span id="LC802" class="line" lang="python"> <span class="n" style="color: #333;">_</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">dynamic_table_region</span><span class="p">[</span><span class="bp" style="color: #999;"><span class="idiff left right">True</span></span><span class="p">]</span></span>
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803
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<pre style="margin: 0;"> <span id="LC803" class="line" lang="python"></span>
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804
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<pre style="margin: 0;"> <span id="LC804" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_dynamic_table_region_table_prop</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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805
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<pre style="margin: 0;"> <span id="LC805" class="line" lang="python"> <span class="n" style="color: #333;">table</span> <span class="o" style="font-weight: 600;">=</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">with_columns_and_data</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">@@ -1051,6 +1051,20 @@ class DynamicTableRegionRoundTrip(H5RoundTripMixin, TestCase):</td>
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1051
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<pre style="margin: 0;"> <span id="LC1051" class="line" lang="python"> <span class="n" style="color: #333;">exp</span> <span class="o" style="font-weight: 600;">=</span> <span class="p">[</span><span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">array</span><span class="p">([</span><span class="mi" style="color: #099;">0</span><span class="p">,</span> <span class="mi" style="color: #099;">1</span><span class="p">]),</span> <span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">array</span><span class="p">([</span><span class="mi" style="color: #099;">1</span><span class="p">,</span> <span class="mi" style="color: #099;">2</span><span class="p">]),</span> <span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">array</span><span class="p">([</span><span class="mf" style="color: #099;">10.0</span><span class="p">,</span> <span class="mf" style="color: #099;">20.0</span><span class="p">]),</span> <span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">array</span><span class="p">([</span><span class="s" style="color: #d14;">'cat'</span><span class="p">,</span> <span class="s" style="color: #d14;">'dog'</span><span class="p">]),</span> <span class="n" style="color: #333;">np</span><span class="p">.</span><span class="n" style="color: #333;">array</span><span class="p">([</span><span class="mi" style="color: #099;">0</span><span class="p">,</span> <span class="mi" style="color: #099;">1</span><span class="p">])]</span></span>
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1052
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1052
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<pre style="margin: 0;"> <span id="LC1052" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">_assert_list_of_ndarray_equal</span><span class="p">(</span><span class="n" style="color: #333;">exp</span><span class="p">,</span> <span class="n" style="color: #333;">rec</span><span class="p">)</span></span>
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1053
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1053
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<pre style="margin: 0;"> <span id="LC1053" class="line" lang="python"></span>
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1054
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<pre style="margin: 0;">+<span id="LC1054" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_getitem_int_str</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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1055
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<pre style="margin: 0;">+<span id="LC1055" class="line" lang="python"> <span class="s" style="color: #d14;">"""Test DynamicTableRegion.__getitem__ with (int, str)."""</span></span>
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1056
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<pre style="margin: 0;">+<span id="LC1056" class="line" lang="python"> <span class="n" style="color: #333;">mc</span> <span class="o" style="font-weight: 600;">=</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">roundtripContainer</span><span class="p">()</span></span>
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1057
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<pre style="margin: 0;">+<span id="LC1057" class="line" lang="python"> <span class="n" style="color: #333;">table</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">mc</span><span class="p">.</span><span class="n" style="color: #333;">containers</span><span class="p">[</span><span class="s" style="color: #d14;">'table_with_dtr'</span><span class="p">]</span></span>
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1058
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<pre style="margin: 0;">+<span id="LC1058" class="line" lang="python"> <span class="n" style="color: #333;">rec</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">table</span><span class="p">[</span><span class="s" style="color: #d14;">'dtr'</span><span class="p">][</span><span class="mi" style="color: #099;">0</span><span class="p">,</span> <span class="s" style="color: #d14;">'qux'</span><span class="p">]</span></span>
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1059
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<pre style="margin: 0;">+<span id="LC1059" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertEqual</span><span class="p">(</span><span class="n" style="color: #333;">rec</span><span class="p">,</span> <span class="s" style="color: #d14;">'qux_1'</span><span class="p">)</span></span>
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1060
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<pre style="margin: 0;">+<span id="LC1060" class="line" lang="python"></span>
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1061
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<pre style="margin: 0;">+<span id="LC1061" class="line" lang="python"> <span class="k" style="font-weight: 600;">def</span> <span class="nf" style="color: #900; font-weight: 600;">test_getitem_str</span><span class="p">(</span><span class="bp" style="color: #999;">self</span><span class="p">):</span></span>
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1062
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<pre style="margin: 0;">+<span id="LC1062" class="line" lang="python"> <span class="s" style="color: #d14;">"""Test DynamicTableRegion.__getitem__ with str."""</span></span>
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1063
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<pre style="margin: 0;">+<span id="LC1063" class="line" lang="python"> <span class="n" style="color: #333;">mc</span> <span class="o" style="font-weight: 600;">=</span> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">roundtripContainer</span><span class="p">()</span></span>
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1064
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<pre style="margin: 0;">+<span id="LC1064" class="line" lang="python"> <span class="n" style="color: #333;">table</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">mc</span><span class="p">.</span><span class="n" style="color: #333;">containers</span><span class="p">[</span><span class="s" style="color: #d14;">'table_with_dtr'</span><span class="p">]</span></span>
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1065
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<pre style="margin: 0;">+<span id="LC1065" class="line" lang="python"> <span class="n" style="color: #333;">rec</span> <span class="o" style="font-weight: 600;">=</span> <span class="n" style="color: #333;">table</span><span class="p">[</span><span class="s" style="color: #d14;">'dtr'</span><span class="p">][</span><span class="s" style="color: #d14;">'qux'</span><span class="p">]</span></span>
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1066
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<pre style="margin: 0;">+<span id="LC1066" class="line" lang="python"> <span class="bp" style="color: #999;">self</span><span class="p">.</span><span class="n" style="color: #333;">assertIs</span><span class="p">(</span><span class="n" style="color: #333;">rec</span><span class="p">,</span> <span class="n" style="color: #333;">mc</span><span class="p">.</span><span class="n" style="color: #333;">containers</span><span class="p">[</span><span class="s" style="color: #d14;">'target_table'</span><span class="p">][</span><span class="s" style="color: #d14;">'qux'</span><span class="p">])</span></span>
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1067
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<pre style="margin: 0;">+<span id="LC1067" class="line" lang="python"></span>
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1054
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1068
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<pre style="margin: 0;"> <span id="LC1068" class="line" lang="python"></span>
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1055
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1069
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<pre style="margin: 0;"> <span id="LC1069" class="line" lang="python"><span class="k" style="font-weight: 600;">class</span> <span class="nc" style="color: #458; font-weight: 600;">TestElementIdentifiers</span><span class="p">(</span><span class="n" style="color: #333;">TestCase</span><span class="p">):</span></span>
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1056
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<td class="new_line diff-line-num" data-linenumber="1070" 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">
1070
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<pre style="margin: 0;"> <span id="LC1070" class="line" lang="python"></span>
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