pyquickbench.all_reductions#
- all_reductions = {'avg': <numpy.ma.core._frommethod object>, 'first_el': <function ma_first_el>, 'last_el': <function ma_last_el>, 'logavg': <function ma_logavg>, 'max': <function max>, 'median': <function median>, 'min': <function min>, 'random_el': <function ma_random_el>, 'sum': <numpy.ma.core._frommethod object>}#
Available data reductions.
Dictionary of all available data reductions to be used in
pyquickbench.plot_benchmark()
orpyquickbench.TimeTrain
."avg"
: Average"min"
: Minimum"max"
: Maximum"median"
: Median"sum"
: Sum"logavg"
: Exponential of average of log"first_el"
: First element in the array"last_el"
: Last element in the array"random_el"
: An element in the array picked randomly with uniform probability
See Also
pyquickbench.plot_benchmark()
: Plot benchmarkspyquickbench.TimeTrain
: Rudimentary profiling features