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# Overview Add @colin-ho's shuffle testing PR to this repo; also add the ability to invoke it in CI runs. --------- Co-authored-by: Desmond Cheong <[email protected]>
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,38 @@ | ||
| """ | ||
| Given a comma-separated string of environment variables, parse them into a dictionary. | ||
| Example: | ||
| env_str = "a=1,b=2" | ||
| result = parse_env_var_str(env_str) | ||
| # returns {"a":1,"b":2} | ||
| """ | ||
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| import argparse | ||
| import json | ||
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| def parse_env_var_str(env_var_str: str) -> dict: | ||
| iter = map( | ||
| lambda s: s.strip().split("="), | ||
| filter(lambda s: s, env_var_str.split(",")), | ||
| ) | ||
| return {k: v for k, v in iter} | ||
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| def main(): | ||
| parser = argparse.ArgumentParser() | ||
| parser.add_argument("--enable-ray-tracing", action="store_true") | ||
| parser.add_argument("--env-vars", required=True) | ||
| args = parser.parse_args() | ||
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| env_vars = parse_env_var_str(args.env_vars) | ||
| if args.enable_ray_tracing: | ||
| env_vars["DAFT_ENABLE_RAY_TRACING"] = "1" | ||
| ray_env_vars = { | ||
| "env_vars": env_vars, | ||
| } | ||
| print(json.dumps(ray_env_vars)) | ||
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| if __name__ == "__main__": | ||
| main() |
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| # /// script | ||
| # requires-python = ">=3.12" | ||
| # dependencies = [] | ||
| # /// | ||
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| """ | ||
| The `read` function below is sourced from: | ||
| https://packaging.python.org/en/latest/specifications/inline-script-metadata/#inline-script-metadata | ||
| """ | ||
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| import re | ||
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| import tomllib | ||
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| REGEX = r"(?m)^# /// (?P<type>[a-zA-Z0-9-]+)$\s(?P<content>(^#(| .*)$\s)+)^# ///$" | ||
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| def read(script: str) -> dict | None: | ||
| name = "script" | ||
| matches = list(filter(lambda m: m.group("type") == name, re.finditer(REGEX, script))) | ||
| if len(matches) > 1: | ||
| raise ValueError(f"Multiple {name} blocks found") | ||
| elif len(matches) == 1: | ||
| content = "".join( | ||
| line[2:] if line.startswith("# ") else line[1:] | ||
| for line in matches[0].group("content").splitlines(keepends=True) | ||
| ) | ||
| return tomllib.loads(content) | ||
| else: | ||
| return None |
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