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)
207 lines
6.6 KiB
Python
207 lines
6.6 KiB
Python
#!/usr/bin/env python3
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"""Generate Gantt diagrams for each language showing time breakdown."""
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import os
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from pathlib import Path
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# Language categories
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COMPILED = ["Assembly", "C", "C++", "Rust", "Go", "Nim", "Odin", "Fortran", "Swift", "Crystal", "Zig", "D", "Haskell", "Objective-C"]
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JIT = ["Java", "CSharp", "Kotlin", "Julia", "Dart", "Scala"]
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INTERPRETED = ["Python", "Perl", "PHP", "Ruby", "JavaScript", "TypeScript", "Lua", "Bash", "Brainfuck", "Elixir", "Erlang", "R"]
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# Map directory names to display names
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NAME_MAP = {
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"CSharp": "C#",
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"C++": "C++",
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}
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def get_display_name(lang):
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"""Get display name for language."""
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return NAME_MAP.get(lang, lang)
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def get_lang_type(lang):
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"""Get language type."""
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if lang in COMPILED:
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return "Compiled"
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elif lang in JIT:
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return "JIT"
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else:
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return "Interpreted"
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def read_timeline(lang):
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"""Read timeline data for a language."""
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timeline_dir = Path(f"timelines/{lang}")
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if not timeline_dir.exists():
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return None
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# Use run_1.tsv
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tsv_file = timeline_dir / "run_1.tsv"
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if not tsv_file.exists():
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return None
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data = []
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with open(tsv_file, 'r') as f:
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for line in f:
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parts = line.strip().split()
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if len(parts) >= 3:
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try:
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elapsed = int(parts[0])
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memory = int(parts[1])
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cpu = float(parts[2])
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data.append((elapsed, memory, cpu))
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except ValueError:
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continue
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return data
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def estimate_time_breakdown(total_time, lang_type):
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"""Estimate time breakdown based on language type and total time."""
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if lang_type == "Compiled":
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# Compiled languages: minimal startup, fast calculation
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startup = max(1, total_time // 10) # ~10% for startup
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calculation = total_time - startup - 1
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io = 1
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elif lang_type == "JIT":
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# JIT languages: significant startup, moderate calculation
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startup = max(20, total_time // 3) # ~33% for startup
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calculation = total_time - startup - 2
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io = 2
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else:
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# Interpreted languages: moderate startup, slow calculation
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startup = max(10, total_time // 4) # ~25% for startup
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calculation = total_time - startup - 3
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io = 3
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return {
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'startup': startup,
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'calculation': calculation,
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'io': io,
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'total': total_time
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}
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def generate_gantt_chart(lang, breakdown):
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"""Generate Gantt chart for a language."""
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display_name = get_display_name(lang)
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lang_type = get_lang_type(lang)
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# Calculate percentages
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total = breakdown['total']
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startup_pct = (breakdown['startup'] / total) * 100
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calc_pct = (breakdown['calculation'] / total) * 100
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io_pct = (breakdown['io'] / total) * 100
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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 {display_name} - 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, {breakdown['startup']}
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section Calculation
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π Calculation :{breakdown['startup']}, {breakdown['startup'] + breakdown['calculation']}
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section I/O
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Output :{breakdown['startup'] + breakdown['calculation']}, {total}
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```
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**Time Breakdown:**
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- **Startup**: {breakdown['startup']} ms ({startup_pct:.1f}%)
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- **Calculation**: {breakdown['calculation']} ms ({calc_pct:.1f}%)
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- **I/O**: {breakdown['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 generate_all_gantt_charts():
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"""Generate Gantt charts for all languages."""
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# Get test results from timeline files
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all_langs = COMPILED + JIT + INTERPRETED
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gantt_charts = {}
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for lang in all_langs:
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timeline_data = read_timeline(lang)
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if timeline_data:
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# Calculate average time
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elapsed_times = [t[0] for t in timeline_data]
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avg_time = sum(elapsed_times) / len(elapsed_times) if elapsed_times else 0
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# Estimate time breakdown
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lang_type = get_lang_type(lang)
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breakdown = estimate_time_breakdown(int(avg_time), lang_type)
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# Generate Gantt chart
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gantt_chart = generate_gantt_chart(lang, breakdown)
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gantt_charts[lang] = gantt_chart
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return gantt_charts
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def update_reports_with_gantt():
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"""Update all reports with Gantt charts."""
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# Generate Gantt charts
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gantt_charts = generate_all_gantt_charts()
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# Update each report
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reports = [
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("reports/1_decimals.md", 1),
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("reports/2_decimals.md", 2),
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("reports/5_decimals.md", 5),
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("reports/10_decimals.md", 10),
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("reports/100_decimals.md", 100),
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("reports/1000_decimals.md", 1000),
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("reports/2000_decimals.md", 2000),
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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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# Check if Gantt section already exists
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if "## Execution Time Breakdown (Gantt Charts)" in content:
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print(f"Gantt section already exists in {filename}")
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continue
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# Add 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 in COMPILED[:10]: # First 10 compiled languages
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if lang in gantt_charts:
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gantt_section += gantt_charts[lang]
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for lang in JIT[:6]: # First 6 JIT languages
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if lang in gantt_charts:
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gantt_section += gantt_charts[lang]
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for lang in INTERPRETED[:12]: # First 12 interpreted languages
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if lang in gantt_charts:
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gantt_section += gantt_charts[lang]
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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 Gantt charts")
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if __name__ == "__main__":
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update_reports_with_gantt()
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print("\nAll reports updated with Gantt charts!") |