gpt_pass_rate_multi_pass.py

import pdb
import subprocess
import re

# Output file
output_file = "pass_rate_output.txt"

# Clearing the output file before appending new content
with open(output_file, "w") as file:
    file.write("")

# List of input paths
input_path_lists = [
    "test/zero_shot/wild_test/generation/lean4_random_15k_all/2/1/",
]

def get_output(input_string, k):
    pattern = r"gpt_result/(\w+)/(\w+)"
    match = re.search(pattern, input_string)
    if match:
        part1 = match.group(1)
        part2 = match.group(2)
        result = f"gpt_result/{part2}/{part1}_pass{k}.json"
        print(result)
        return result
    else:
        print("No match found.")
        return None

# List of input paths
input_path_lists = [
    # "gpt_result/lean_basic/gpt4/",
    # "gpt_result/lean_random/gpt4/",
    "gpt_result/wild/gpt4/",
    # "gpt_result/lean_basic/gpt3/",
    # "gpt_result/lean_random/gpt3/",
    "gpt_result/wild/gpt3/",
]

# Iterate through the input paths and run the command
for input_path in input_path_lists:
    k = 5
    if "wild" in input_path or "gsm8k_train" in input_path or "math_train" in input_path:
        print(f"wild")
        print(f"Running for input path: {input_path}", file=open(output_file, "a"))
        command = f"python3 gpt_pass_rate_new_notlean_test.py --input_path {input_path} --output_path {get_output(input_path,k)}  --k {k}"
        subprocess.run(command, shell=True, stdout=open(output_file, "a"), stderr=subprocess.STDOUT)
        print("\n\n",file=open(output_file, "a"))
    else:
        print(f"lean")
        print(f"Running for input path: {input_path}", file=open(output_file, "a"))
        command = f"python3 gpt_pass_rate_new_test.py  --input_path {input_path} --output_path {get_output(input_path, k)} --k {k}"
        subprocess.run(command, shell=True, stdout=open(output_file, "a"), stderr=subprocess.STDOUT)
        print("\n\n",file=open(output_file, "a"))