Azalea (on HyDEV-Daisy)
34 lines
1.0 KiB
Python
34 lines
1.0 KiB
Python
from __future__ import annotations
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import os
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import re
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from pandas import DataFrame
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def stats_by_project(d):
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csv = []
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files = os.listdir(f"../data/{d}/patterns")
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for file in files:
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# count inferred
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with open(f"../data/{d}/patterns/{file}") as f:
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infers=re.search("\(([^\)]+)\)",f.read())
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str=infers.group(0)[1:len(infers.group(0))-1]
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projects = str.split(",")
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occurences: dict[str, int] = {}
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for project in projects:
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p=re.search("^[^_]+(?=_)",project).group(0).strip(' ')
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if occurences.get(p):
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occurences[p]=occurences[p]+1
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else:
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occurences[p]=1
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for key in occurences.keys():
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csv.append((file, key, occurences[key]))
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df = DataFrame(csv, columns=('Patch Name', 'Inferred from projects', 'occurrence'))
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df.to_csv(f'../stats-by-project/stats-projects-{d}.csv')
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if __name__ == '__main__':
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for i in range (0,5950,90):
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stats_by_project(i)
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