Ein Anderssono
9795bd6e96
- Updated compiled languages chart with real performance data - Updated JIT-compiled languages chart with actual measurements - Updated interpreted languages chart with test results - Updated slowest languages chart with real data - All charts now reflect actual benchmark results from 100 decimal tests
24 lines
807 B
Python
24 lines
807 B
Python
#!/usr/bin/env python3
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import csv
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# Read performance data and create summary
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data = {}
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with open('performance_data.csv', 'r') as f:
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reader = csv.reader(f)
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next(reader) # Skip header
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for row in reader:
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if len(row) >= 5 and row[1] and row[1] not in ['SUCCESS', 'Brainfuck', 'Ruby'] and not row[1].startswith('3.'):
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decimals = row[0]
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language = row[1]
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time = row[2]
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memory = row[3]
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if decimals not in data:
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data[decimals] = []
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data[decimals].append({'lang': language, 'time': time, 'mem': memory})
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# Print summary for 100 decimals
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if '100' in data:
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print("=== 100 decimals ===")
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for entry in data['100'][:15]:
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print(f"{entry['lang']}: {entry['time']}ms, {entry['mem']}") |