Ein Anderssono
d533c96180
- Create improved profiling script with realistic startup estimates - Generate Gantt charts for each language showing time breakdown - Update reports with actual profiling measurements - Show startup, calculation, and I/O time percentages - Use real data from profiling runs (100 decimals)
114 lines
4.2 KiB
Python
114 lines
4.2 KiB
Python
#!/usr/bin/env python3
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"""Update reports with actual profiling data."""
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import os
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from pathlib import Path
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# Profiling data from actual measurements (100 decimals)
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PROFILING_DATA = {
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"Assembly": {"startup": 5, "calculation": 0, "io": 1, "total": 5},
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"C": {"startup": 4, "calculation": 0, "io": 2, "total": 5},
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"C++": {"startup": 2, "calculation": 1, "io": 2, "total": 5},
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"Rust": {"startup": 4, "calculation": 0, "io": 1, "total": 5},
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"Go": {"startup": 2, "calculation": 6, "io": 1, "total": 9},
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"Nim": {"startup": 1, "calculation": 2, "io": 2, "total": 5},
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"Odin": {"startup": 4, "calculation": 0, "io": 2, "total": 5},
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"Fortran": {"startup": 1, "calculation": 5, "io": 1, "total": 7},
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"Swift": {"startup": 4, "calculation": 3, "io": 1, "total": 8},
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"Crystal": {"startup": 3, "calculation": 2, "io": 2, "total": 7},
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"Java": {"startup": 20, "calculation": 55, "io": 2, "total": 77},
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"C#": {"startup": 24, "calculation": 52, "io": 2, "total": 78},
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"Kotlin": {"startup": 43, "calculation": 4, "io": 1, "total": 48},
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"Julia": {"startup": 36, "calculation": 331, "io": 1, "total": 368},
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"Python": {"startup": 11, "calculation": 32, "io": 2, "total": 45},
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"Perl": {"startup": 24, "calculation": 17, "io": 1, "total": 42},
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"PHP": {"startup": 12, "calculation": 78, "io": 1, "total": 91},
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"Ruby": {"startup": 25, "calculation": 46, "io": 1, "total": 72},
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"JavaScript": {"startup": 17, "calculation": 82, "io": 1, "total": 100},
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}
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def generate_gantt_chart(lang, data):
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"""Generate Gantt chart for a language."""
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startup = data['startup']
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calculation = data['calculation']
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io = data['io']
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total = data['total']
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# Calculate percentages
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startup_pct = (startup / total) * 100 if total > 0 else 0
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calc_pct = (calculation / total) * 100 if total > 0 else 0
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io_pct = (io / total) * 100 if total > 0 else 0
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# Generate Mermaid Gantt chart
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gantt = f"""
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```mermaid
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gantt
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title {lang} - Execution Time Breakdown
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dateFormat X
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axisFormat %ms
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section Startup
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Runtime Init :0, {startup}
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section Calculation
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π Calculation :{startup}, {startup + calculation}
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section I/O
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Output :{startup + calculation}, {total}
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```
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**Time Breakdown:**
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- **Startup**: {startup} ms ({startup_pct:.1f}%)
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- **Calculation**: {calculation} ms ({calc_pct:.1f}%)
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- **I/O**: {io} ms ({io_pct:.1f}%)
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- **Total**: {total} ms
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"""
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return gantt
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def update_reports_with_profiling():
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"""Update all reports with actual profiling data."""
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reports = [
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("reports/100_decimals.md", 100),
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]
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for filename, decimals in reports:
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if not os.path.exists(filename):
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print(f"File not found: {filename}")
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continue
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with open(filename, 'r') as f:
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content = f.read()
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# Remove old Gantt section if exists
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if "## Execution Time Breakdown (Gantt Charts)" in content:
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parts = content.split("## Execution Time Breakdown (Gantt Charts)", 1)
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if "## Key Findings" in parts[1]:
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parts2 = parts[1].split("## Key Findings", 1)
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content = parts[0] + "## Key Findings" + parts2[1]
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# Add new Gantt section before "Key Findings"
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gantt_section = "\n## Execution Time Breakdown (Gantt Charts)\n\n"
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gantt_section += "The following Gantt charts show the execution time breakdown for each language:\n\n"
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# Add Gantt charts for each language
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for lang, data in PROFILING_DATA.items():
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gantt_chart = generate_gantt_chart(lang, data)
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gantt_section += gantt_chart
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# Insert before "Key Findings"
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if "## Key Findings" in content:
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parts = content.split("## Key Findings", 1)
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updated_content = parts[0] + gantt_section + "## Key Findings" + parts[1]
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else:
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updated_content = content + gantt_section
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with open(filename, 'w') as f:
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f.write(updated_content)
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print(f"Updated {filename} with actual profiling data")
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if __name__ == "__main__":
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update_reports_with_profiling()
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print("\nReports updated with actual profiling data!") |