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Easy-to-use timer for tracking runtimes.
pip install sometimer
from sometimer import timer
# Main functionality is the summary function:
timer.new_checkpoint()
do_stuff()
timer.new_checkpoint(name='useful-name')
do_other_stuff()
...
summary = timer.summary()
print(summary)
timer summary
-duration- -start-
start 0.00s
checkpoint_0: 2.36s 0.10s
useful-name: 0.41s 2.46s
victory lap : 12.01s 2.87s
end 14.87s
timer.__call__()
returns a one-linertimer()
>>> 'timer: 0.202s'
# and with an active checkpoint:
timer()
>>> 'timer: 0.303s checkpoint_0: 0.050s'
@time_this_method
decorator to avoid clutterSome functions are always heavy (e.g. load, data preprocessing, data augmentation) and might be useful to time:
from sometimer import time_this_method
@time_this_method
def heavy_preprocessing(data):
pass
@time_this_method(name='more-descriptive-name')
def inefficient_method(data):
pass
when run, yields:
heavy_preprocessing(data)
inefficient_method(data)
timer.summary()
>>> 'timer summary
-duration- -start-
start: 0.00s 0.00s
heavy_preprocessing: 0.00s 25.10s
more-descriptive-name: 25.10s 13.01s
end: 38.10s'
FAQs
Easy-to-use timer for tracking runtimes
We found that sometimer demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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