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#!/usr/bin/env python3
"""Generate the scenario list for the TP×DP matrix experiment.
Reads matrix.json and prints TSV lines:
mark input_len output_len concurrency num_prompts
mark is one of Y/P/N. The caller (run_bench.sh) decides how to treat each.
"""
import argparse
import json
import math
import os
from pathlib import Path
def sample_concurrency(low: int, high: int, target: int) -> list[int]:
"""Return only the low and high concurrency values in [low, high].
For the TP×DP matrix we only need the two endpoints of the concurrency
range (e.g. 1 and 128 for ISL=1024). The `target` argument is kept for
API compatibility but is ignored.
"""
assert 1 <= low <= high, f"invalid concurrency range: {low}-{high}"
if low == high:
return [low]
return [low, high]
def generate_scenarios(matrix_path: Path, mode: str, target_samples: int) -> list[dict]:
with open(matrix_path, "r", encoding="utf-8") as f:
data = json.load(f)
matrix = data["matrix"]
concurrency_cfg = data["concurrency"]
scenarios = []
for isl_str in sorted(matrix.keys(), key=int):
dsl_map = matrix[isl_str]
low = concurrency_cfg[isl_str]["low"]
high = concurrency_cfg[isl_str]["high"]
concurrencies = sample_concurrency(low, high, target_samples)
for dsl_str in sorted(dsl_map.keys(), key=int):
mark = dsl_map[dsl_str]
if mode == "Y" and mark != "Y":
continue
if mode == "Y+P" and mark not in ("Y", "P"):
continue
# mode == "all" keeps everything, including N.
for conc in concurrencies:
scenarios.append(
{
"mark": mark,
"input_len": int(isl_str),
"output_len": int(dsl_str),
"concurrency": conc,
"num_prompts": conc * 5,
}
)
return scenarios
def main() -> None:
parser = argparse.ArgumentParser()
parser.add_argument("--matrix", type=Path, default=Path("matrix.json"))
parser.add_argument("--mode", choices=["Y", "Y+P", "all"], default=None,
help="Scenario selection mode. Defaults to matrix.mode.")
parser.add_argument("--target-samples", type=int, default=0,
help="Target number of concurrency samples. 0 = heuristic (6-8).")
args = parser.parse_args()
with open(args.matrix, "r", encoding="utf-8") as f:
data = json.load(f)
mode = args.mode if args.mode else data.get("mode", "Y+P")
target_samples = args.target_samples
if target_samples <= 0:
env_samples = os.getenv("CONCURRENCY_SAMPLES", "0")
try:
target_samples = int(env_samples)
except ValueError:
target_samples = 0
if target_samples <= 0:
target_samples = 7
scenarios = generate_scenarios(args.matrix, mode, target_samples)
print("mark\tinput_len\toutput_len\tconcurrency\tnum_prompts")
for s in scenarios:
print(f"{s['mark']}\t{s['input_len']}\t{s['output_len']}\t{s['concurrency']}\t{s['num_prompts']}")
if __name__ == "__main__":
main()