flying-sheep/memray-flamegraph-anndata-mem.html

## memray-flamegraph-anndata-mem.html

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  <title>memray - flamegraph report</title>
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<body>
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    <a class="navbar-brand" href="#">
      <span class="navbar-brand mb-0 mr-2 h1">memray</span> flamegraph report
    </a>
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      <div class="mr-3">
        <span class="badge badge-primary" data-toggle="tooltip" data-placement="bottom"
        title=" The pymalloc allocator holds pools of memory and only allocates
        when all these pools are used. This means that allocations reported when
        pymalloc is active will reflect only the allocations that happen when
        the pools are full. <b>This is what happens at runtime</b> so it is fully
        representative of a normal application but <b>the number of allocations
        and the size may not correspond with the number of Python objects
        created</b> (as pymalloc is reusing memory)."
        data-html="true">
        Python Allocator: pymalloc</span>
      </div>

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    &nbsp;
    Flames
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          <h5 class="modal-title" id="statsModalLabel">Memray run stats</h5>
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            <span aria-hidden="true">&times;</span>
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        <div class="modal-body">
          Command line: <code>/home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/memray/__main__.py run -o scanpy-mem.bin scanpy-mem-2-concat.py</code><br>
          Start time: 2024-04-30 11:54:11.968000<br>
          End time: 2024-04-30 11:54:39.689000<br>
          Total number of allocations: 9285296<br>
          Total number of frames seen: 4432<br>
          Peak memory usage: 60.2 GiB<br>
          Python allocator: pymalloc<br>
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          <h5 class="modal-title" id="helpModalLabel">How to interpret flamegraph reports</h5>
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<p>
  The flame graph displays a snapshot of memory used across stack frames at the time <b>when the memory usage was at its peak</b>.
</p>


<p>
  The vertical ordering of the stack frames corresponds to the order of function calls, from parent to children.
  The horizontal ordering does not represent the passage of time in the application: they simply represent child frames in arbitrary order.
</p>
<p>
  On the flame graph, each bar represents a stack frame and shows the code which triggered the memory allocation.
  Hovering over the frame you can also see the overall memory allocated in the given frame and its children and the number of times allocations have occurred.
</p>
<p>
  The <b>Show/Hide Irrelevant Frames</b> button can be used to reveal and hide frames which contain allocations in code which might not be
  relevant for the application. These include frames in the CPython eval loop as well as frames introduced by memray during the analysis.
</p>
<p>
  You can find more information in the <a target="_blank"  href="https://bloomberg.github.io/memray/flamegraph.html">documentation</a>.
</p>

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    <div class="modal-dialog modal-xl" role="document">
      <div class="modal-content">
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          <h5 class="modal-title" id="memoryModalLabel">Resident set size over time</h5>
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at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/numpy/polynomial/laguerre.py:207","MultiIndex at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/pandas/core/indexes/multi.py:1728","_register_known_types at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/numpy/core/getlimits.py:283","DatetimeTimedeltaMixin at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/pandas/core/indexes/datetimelike.py:524","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/__init__.py:9","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/arpack/__init__.py:20","/home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/scipy/sparse/linalg/_eigen/arpack/__init__.py","\u003cmodule\u003e at 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/home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/scipy/_lib/_threadsafety.py:9","/home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/scipy/_lib/_threadsafety.py","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/scipy/_lib/_threadsafety.py:3","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/scipy/_lib/decorator.py:51","/home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/scipy/_lib/decorator.py","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/numpy/polynomial/__init__.py:116","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/numpy/polynomial/polynomial.py:1472","/home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/numpy/polynomial/polynomial.py","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/pandas/core/indexes/datetimes.py:117","\u003cmodule\u003e at 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/home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/pandas/core/algorithms.py:610","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/pandas/core/generic.py:175","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/pandas/core/internals/__init__.py:2","/home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/pandas/core/internals/__init__.py","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/pandas/core/internals/array_manager.py:72","/home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/pandas/core/internals/array_manager.py","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/pandas/core/internals/base.py:65","/home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/pandas/core/internals/base.py","\u003cmodule\u003e at 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at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/dateutil/parser/__init__.py:8","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/natsort/ns_enum.py:15","/home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/natsort/ns_enum.py","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/pandas/errors/__init__.py:253","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/numpy/_typing/__init__.py:79","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/numpy/core/_add_newdocs.py:5871","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/pandas/io/api.py:15","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/numpy/ma/core.py:1212","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/pandas/core/indexers/objects.py:297","\u003cmodule\u003e 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/home/phil/micromamba/envs/scanpy/lib/python3.12/ctypes/__init__.py:472","__init__ at /home/phil/micromamba/envs/scanpy/lib/python3.12/ctypes/__init__.py:373","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/pandas/core/arrays/integer.py:64","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/numpy/polynomial/hermite.py:1516","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/pandas/core/methods/selectn.py:75","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/pandas/io/pytables.py:5307","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/ctypes/__init__.py:241","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/pandas/core/arrays/string_.py:72","\u003cmodule\u003e at 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/home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/pytz/__init__.py:313","Polynomial at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/numpy/polynomial/polynomial.py:1515","Polynomial","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/numpy/core/overrides.py:8","_add_dtype_helper at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/numpy/dtypes.py:71","_add_dtype_helper","/home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/numpy/dtypes.py","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/scipy/sparse/linalg/_isolve/iterative.py:584","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/scipy/sparse/_base.py:1506","\u003cmodule\u003e at /home/phil/micromamba/envs/scanpy/lib/python3.12/site-packages/pandas/core/dtypes/dtypes.py:1533","\u003cmodule\u003e at 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    const merge_threads = true;
    const memory_records = 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