mirror of https://github.com/tqdm/tqdm.git
90 lines
2.3 KiB
Python
90 lines
2.3 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 functools import partial
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class Comparison:
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"""Running time of wrapped empty loops"""
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def __init__(self, length):
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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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self.iterable = range(int(length))
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def run(self, cls):
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pbar = cls(self.iterable)
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t0 = self.time()
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[0 for _ in pbar] # pylint: disable=pointless-statement
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t1 = self.time()
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return t1 - t0
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def run_by_name(self, method):
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return getattr(self, method.replace("-", "_"))()
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def no_progress(self):
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return self.run(lambda x: x)
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def tqdm_optimised(self):
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from tqdm import tqdm
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return self.run(partial(tqdm, miniters=6e5, smoothing=0))
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def tqdm(self):
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from tqdm import tqdm
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return self.run(tqdm)
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def alive_progress(self):
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from alive_progress import alive_bar
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class wrapper:
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def __init__(self, iterable):
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self.iterable = iterable
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def __iter__(self):
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iterable = self.iterable
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with alive_bar(len(iterable)) as bar:
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for i in iterable:
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yield i
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bar()
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return self.run(wrapper)
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# def progressbar(self):
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# from progressbar.progressbar import ProgressBar
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# return self.run(ProgressBar())
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def progressbar2(self):
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from progressbar import progressbar
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return self.run(progressbar)
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def rich(self):
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from rich.progress import track
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return self.run(track)
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# thorough test against no-progress
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slow = Comparison(6e6)
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def track_tqdm(method):
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return slow.run_by_name(method)
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track_tqdm.params = ["tqdm", "tqdm-optimised", "no-progress"]
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track_tqdm.param_names = ["method"]
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track_tqdm.unit = "Seconds (lower is better)"
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# quick test against alternatives
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fast = Comparison(1e5)
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def track_alternatives(library):
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return fast.run_by_name(library)
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track_alternatives.params = ["rich", "progressbar2", "alive-progress", "tqdm"]
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track_alternatives.param_names = ["library"]
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track_alternatives.unit = "Seconds (lower is better)"
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