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Commit 8d1a753a authored by Adam J. Stewart's avatar Adam J. Stewart
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Fix spack --profile, fixes #1639

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...@@ -201,41 +201,14 @@ supply ``-p`` to Spack on the command line, before any subcommands. ...@@ -201,41 +201,14 @@ supply ``-p`` to Spack on the command line, before any subcommands.
.. _spack-p: .. _spack-p:
^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^^
``spack -p`` ``spack --profile``
^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^^
``spack -p`` output looks like this: ``spack --profile`` output looks like this:
.. code-block:: console .. command-output:: spack --profile graph dyninst
:ellipsis: 25
$ spack -p graph dyninst
o dyninst
\|\
\| \|\
\| o \| libdwarf
\|/ /
o \| libelf
/
o boost
307670 function calls (305943 primitive calls) in 0.127 seconds
Ordered by: internal time
ncalls tottime percall cumtime percall filename:lineno(function)
853 0.021 0.000 0.066 0.000 inspect.py:472(getmodule)
51197 0.011 0.000 0.018 0.000 inspect.py:51(ismodule)
73961 0.010 0.000 0.010 0.000 {isinstance}
1762 0.006 0.000 0.053 0.000 inspect.py:440(getsourcefile)
32075 0.006 0.000 0.006 0.000 {hasattr}
1760 0.004 0.000 0.004 0.000 {posix.stat}
2240 0.004 0.000 0.004 0.000 {posix.lstat}
2602 0.004 0.000 0.011 0.000 inspect.py:398(getfile)
771 0.004 0.000 0.077 0.000 inspect.py:518(findsource)
2656 0.004 0.000 0.004 0.000 {method 'match' of '_sre.SRE_Pattern' objects}
30772 0.003 0.000 0.003 0.000 {method 'get' of 'dict' objects}
...
The bottom of the output shows the top most time consuming functions, The bottom of the output shows the top most time consuming functions,
slowest on top. The profiling support is from Python's built-in tool, slowest on top. The profiling support is from Python's built-in tool,
......
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