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Description:

darshan 3.4.5.0

Python utilities to interact with Darshan
log records of HPC applications.

Features

Job summary tool for generating HTML reports of I/O activity in a Darshan log
Darshan Report interface for common interactive analysis tasks
Low-level CFFI bindings for efficient access to Darshan log files
Generic plotting capabilities (matplotlib) for Darshan log data

Usage
For examples and Jupyter notebooks to get started with PyDarshan make sure
to check out the examples subdirectory.

Installation
To install in most cases the following will work:
pip install darshan

Testing
Targets for various tests are included in the makefile. To run the normal
test suite use:
make test
Or to test against a different version of Python using Tox:
make test-all
Coverage tests can be performed using:
make coverage
Conformance to PEPs can be tested using flake8 via:
make lint

Documentation
Documentation for the Python bindings is generated separately from the
darshan-util C library in the interest of using Sphinx. After installing the
development requirements the documentation can be built using make as follows:
pip install -r requirements_dev.txt
make docs

File List

darshan::
core darshan python module code

devel::
scripts for building Python wheel

docs::
markdown documentation used by sphinx to auto-generate HTML RTD style doc

examples::
Jupyter notebooks showing PyDarshan usage with log files

tests::
PyDarshan-specific test cases

requirements.txt::
pip requirement file for minimum set of dependencies

requirements_dev.txt::
pip requirement file for dependencies needed to run development tools

setup.py::
python file for building/generating PyDarshan package

setup.cfg::
input for setup.py

MANIFEST.in::
input files for setup.py package

tox.ini::
input for tox which runs the automated testing