35 lines
1022 B
Python
35 lines
1022 B
Python
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import pandas as pd
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import numpy as np
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from benchmark import benchmark
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setup ="""
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from rapidfuzz import fuzz as rfuzz
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from fuzzywuzzy import fuzz
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import string
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import random
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random.seed(18)
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characters = string.ascii_letters + string.digits + string.whitespace + string.punctuation
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a = ''.join(random.choice(characters) for _ in range({0}))
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b_list = [''.join(random.choice(characters) for _ in range({0})) for _ in range({1})]
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"""
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lengths = list(range(0,512,2))
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count = 1000
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time_rapidfuzz = benchmark("rapidfuzz",
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'[rfuzz.partial_ratio(a, b) for b in b_list]',
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setup, lengths, count)
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# this gets very slow, so only benchmark it for smaller values
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time_fuzzywuzzy = benchmark("fuzzywuzzy",
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'[fuzz.partial_ratio(a, b) for b in b_list]',
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setup, list(range(0,256,2)), count) + [np.NaN] * 128
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df = pd.DataFrame(data={
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"length": lengths,
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"rapidfuzz": time_rapidfuzz,
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"fuzzywuzzy": time_fuzzywuzzy,
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})
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df.to_csv("results/partial_ratio_long_needle.csv", sep=',',index=False)
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