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			97 lines
		
	
	
	
		
			2.8 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			97 lines
		
	
	
	
		
			2.8 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| """Generate uop metedata.
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| Reads the instruction definitions from bytecodes.c.
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| Writes the metadata to pycore_uop_metadata.h by default.
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| """
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| 
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| import argparse
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| 
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| from analyzer import (
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|     Analysis,
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|     analyze_files,
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| )
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| from generators_common import (
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|     DEFAULT_INPUT,
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|     ROOT,
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|     root_relative_path,
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|     write_header,
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| )
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| from cwriter import CWriter
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| from typing import TextIO
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| 
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| 
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| 
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| DEFAULT_OUTPUT = ROOT / "Lib/_opcode_metadata.py"
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| 
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| 
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| def get_specialized(analysis: Analysis) -> set[str]:
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|     specialized: set[str] = set()
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|     for family in analysis.families.values():
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|         for member in family.members:
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|             specialized.add(member.name)
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|     return specialized
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| 
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| 
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| def generate_specializations(analysis: Analysis, out: CWriter) -> None:
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|     out.emit("_specializations = {\n")
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|     for family in analysis.families.values():
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|         out.emit(f'"{family.name}": [\n')
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|         for member in family.members:
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|             out.emit(f'    "{member.name}",\n')
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|         out.emit("],\n")
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|     out.emit("}\n\n")
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| 
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| 
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| def generate_specialized_opmap(analysis: Analysis, out: CWriter) -> None:
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|     out.emit("_specialized_opmap = {\n")
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|     names = []
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|     for family in analysis.families.values():
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|         for member in family.members:
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|             if member.name == family.name:
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|                 continue
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|             names.append(member.name)
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|     for name in sorted(names):
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|         out.emit(f"'{name}': {analysis.opmap[name]},\n")
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|     out.emit("}\n\n")
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| 
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| 
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| def generate_opmap(analysis: Analysis, out: CWriter) -> None:
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|     specialized = get_specialized(analysis)
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|     out.emit("opmap = {\n")
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|     for inst, op in analysis.opmap.items():
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|         if inst not in specialized:
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|             out.emit(f"'{inst}': {analysis.opmap[inst]},\n")
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|     out.emit("}\n\n")
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| 
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| 
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| def generate_py_metadata(
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|     filenames: list[str], analysis: Analysis, outfile: TextIO
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| ) -> None:
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|     write_header(__file__, filenames, outfile, "#")
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|     out = CWriter(outfile, 0, False)
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|     generate_specializations(analysis, out)
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|     generate_specialized_opmap(analysis, out)
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|     generate_opmap(analysis, out)
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|     out.emit(f"HAVE_ARGUMENT = {analysis.have_arg}\n")
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|     out.emit(f"MIN_INSTRUMENTED_OPCODE = {analysis.min_instrumented}\n")
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| 
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| 
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| arg_parser = argparse.ArgumentParser(
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|     description="Generate the Python file with opcode metadata.",
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|     formatter_class=argparse.ArgumentDefaultsHelpFormatter,
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| )
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| 
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| arg_parser.add_argument(
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|     "-o", "--output", type=str, help="Generated code", default=DEFAULT_OUTPUT
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| )
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| 
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| arg_parser.add_argument(
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|     "input", nargs=argparse.REMAINDER, help="Instruction definition file(s)"
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| )
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| 
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| if __name__ == "__main__":
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|     args = arg_parser.parse_args()
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|     if len(args.input) == 0:
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|         args.input.append(DEFAULT_INPUT)
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|     data = analyze_files(args.input)
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|     with open(args.output, "w") as outfile:
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|         generate_py_metadata(args.input, data, outfile)
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