python-pprofile - 2.0.2-1 main

Line granularity allows locating precisely where time is spent in code.
Thread awareness automatically propagates profiling to all threads (all
threads in statistic mode, or threads spawned by profiled code in
deterministic mode).
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Deterministic profiling gives precise measures, but at a large speed
cost (best used on minimal test scenario).
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Statistic profiling gives rough measure, but has an extremely low
overhead (suitable for live code profiling).
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Does not require marking methods to profile, allowing non-method
profiling (module imports, class & function declarations and other
module-level code).
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This package installs the library for Python 2.