106 lines
3.5 KiB
Python
106 lines
3.5 KiB
Python
import os
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from datetime import datetime
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from pathlib import Path
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from dateutil.relativedelta import relativedelta
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from matplotlib import pyplot as plt
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from pandas import DataFrame
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def line(project, start_string, depth):
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## d4j: data-d4j
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## bdj: data-bdj
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## fixminer: data
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start_date = datetime.strptime(start_string, '%Y-%m-%d')
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interval = relativedelta(months=6)
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csv = []
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data_path = Path(f'../../{project}.absolute')
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new = [patch.split('#')[0] for patch in
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os.listdir(data_path / f"{start_date.strftime('%Y-%m-%d').split(' ')[0]}/patterns")]
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new = sorted(list(set(new)))
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added = sorted(list(set(new)))
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remove = sorted([])
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csv.append((start_date.strftime('%Y-%m-%d').split(' ')[0], len(new), len(added), len(remove),[])
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)
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while True:
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# end = start + interval
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new = []
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old = []
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depths = []
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end_date = start_date + interval
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end_string = end_date.strftime('%Y-%m-%d').split(' ')[0]
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start_string = start_date.strftime('%Y-%m-%d').split(' ')[0]
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print(f"processing date {start_string}")
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if not os.path.isdir(data_path / str(end_string)):
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# new = os.listdir(data_path / f"{end_string}/patterns")
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# added = sorted(list(set(new)))
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# remove = sorted([])
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# csv.append((end_string, len(new), added, remove))
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break
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for file in os.listdir(f"../../{project}.absolute/{end_string}/patterns"):
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with open(f"../../{project}.absolute/{end_string}/patterns/{file}") as myfile:
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head = ''
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maxdepth = int(file.split('#')[1])
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depths.append(maxdepth)
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if maxdepth > depth:
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head = ''.join([next(myfile) for x in range(depth)])
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else:
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head = ''.join([next(myfile) for x in range(maxdepth)])
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new.append(head)
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new = sorted(list(set(new)))
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for file in os.listdir(f"../../{project}.absolute/{start_string}/patterns"):
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with open(f"../../{project}.absolute/{start_string}/patterns/{file}") as myfile:
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head = ''
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maxdepth = int(file.split('#')[1])
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if maxdepth > depth:
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head = ''.join([next(myfile) for x in range(depth)])
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else:
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head = ''.join([next(myfile) for x in range(maxdepth)])
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old.append(head)
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old = sorted(list(set(old)))
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added = sorted(list(set(new) - set(old)))
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remove = sorted(list(set(old) - set(new)))
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csv.append((end_string, len(new), len(added), len(remove), depths
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))
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start_date += interval
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df = DataFrame(csv, columns=('Date', 'Number of Patches',
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'Numbers of added', 'Numbers of removed', 'Depths'
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))
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df.to_csv(f'diff-test-{project}-absolute-{depth}.csv')
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return [[v[0] for v in csv], [v[1] for v in csv], [v[4] for v in csv]]
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def boxplot(line):
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plt.boxplot(line[2],showfliers=False)
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plt.show()
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if __name__ == '__main__':
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project = 'data'
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## d4j: data-d4j
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## bdj: data-bdj
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## fixminer: data
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depth = 15
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start_string = "2001-06-01"
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l1 = line(project, start_string, 1)
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boxplot(l1)
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print(l1)
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l2 = line(project, start_string, 3)
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print(l2)
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l3 = line(project, start_string, 5)
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print(l3)
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plt.plot(l1[0], l1[1], 'r', l2[0], l2[1], 'g', l3[0], l3[1], 'b')
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plt.show()
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