mirror of https://github.com/tqdm/tqdm.git
44 lines
1.3 KiB
Python
44 lines
1.3 KiB
Python
# Write the benchmarking functions here.
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# See "Writing benchmarks" in the asv docs for more information.
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from __future__ import division
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class FractionalOverheadSuite:
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"""
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An example benchmark that times the performance of various kinds
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of iterating over dictionaries in Python.
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"""
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def setup(self):
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try:
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from time import process_time
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self.time = process_time
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except ImportError:
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from time import clock
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self.time = clock
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from tqdm import tqdm
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self.tqdm = tqdm
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try:
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self.iterable = xrange(int(6e6))
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except NameError:
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self.iterable = range(int(6e6))
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t0 = self.time()
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[0 for _ in self.iterable]
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t1 = self.time()
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self.t = t1 - t0
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def track_tqdm(self):
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with self.tqdm(self.iterable) as pbar:
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t0 = self.time()
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[0 for _ in pbar]
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t1 = self.time()
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return (t1 - t0 - self.t) / self.t
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def track_optimsed(self):
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with self.tqdm(self.iterable, miniters=6e5, smoothing=0) as pbar:
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# TODO: miniters=None, mininterval=0.1, smoothing=0)]
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t0 = self.time()
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[0 for _ in pbar]
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t1 = self.time()
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return (t1 - t0 - self.t) / self.t
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