40 lines
1.3 KiB
Python
40 lines
1.3 KiB
Python
import pickle
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from collections import Counter
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from common import counter
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with open("commits.dat", "rb") as file:
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commits: list[str] = pickle.load(file)
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entries = []
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last_ctr = Counter()
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last_cor = []
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cors = []
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C = min(len(commits), 720)
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for i, commit in enumerate(reversed(commits)):
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print(f"P={i / len(commits):6f}", flush=True)
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print("running", commit, flush=True)
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current_ctr = counter(commit, True)
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added = current_ctr - last_ctr
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deleted = last_ctr - current_ctr
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entries.append((i, current_ctr.total(), added.total(), deleted.total()))
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current_cor = []
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common_ctr = current_ctr & last_ctr
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for j, line in reversed(last_cor):
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if common_ctr[line]:
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common_ctr[line] -= 1
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current_cor.append((j, line))
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current_cor.reverse()
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c = i * C // len(commits)
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for line in added.elements():
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current_cor.append((c, line))
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cor_ctr = Counter(j for j, _ in current_cor)
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assert len(current_cor) == cor_ctr.total() == current_ctr.total()
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while c >= len(cors):
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cors.append([0] * i)
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for j, cor in enumerate(cors):
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cor.append(cor_ctr[j])
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last_ctr = current_ctr
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last_cor = current_cor
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with open("/code/metrics.dat", "wb") as file:
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pickle.dump({"entries": entries, "cors": cors}, file)
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