spark: add verified Fibonacci calculator with assertions
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#!/usr/bin/env python3
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"""Line counter verification script - counts lines in Python files and outputs JSON report."""
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import json
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import sys
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from pathlib import Path
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def count_python_lines(filepath: str) -> dict:
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"""Count lines in a Python file and return metadata."""
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path = Path(filepath)
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if not path.exists():
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return {"error": "File not found", "filepath": filepath, "success": False}
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try:
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with open(filepath, 'r', encoding='utf-8', errors='replace') as f:
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lines = f.readlines()
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total = len(lines)
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non_empty = sum(1 for line in lines if line.strip())
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blank = total - non_empty
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return {
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"filepath": filepath,
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"total_lines": total,
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"non_empty_lines": non_empty,
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"blank_lines": blank,
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"success": True
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}
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except Exception as e:
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return {"error": str(e), "filepath": filepath, "success": False}
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def main():
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if len(sys.argv) < 2:
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print(json.dumps({"error": "Usage: python_line_counter.py <file1> [file2...]"}))
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sys.exit(1)
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files = sys.argv[1:]
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results = []
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total_lines = 0
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for f in files:
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result = count_python_lines(f)
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results.append(result)
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if result.get("success"):
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total_lines += result.get("total_lines", 0)
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output = {
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"files_processed": len(files),
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"total_lines": total_lines,
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"results": results
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}
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print(json.dumps(output, indent=2))
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if __name__ == "__main__":
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main()
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