import os | |
import pandas as pd | |
def replace_empty_performance(directories, performance_column="performance"): | |
for directory in directories: | |
if not os.path.exists(directory): | |
print(f"Directory {directory} does not exist, skipping...") | |
continue | |
csv_files = [f for f in os.listdir(directory) if f.endswith('.csv')] | |
for file in csv_files: | |
file_path = os.path.join(directory, file) | |
try: | |
print(f"Processing {file_path}...") | |
opt_step = { | |
8: 0, | |
12: 1, | |
14: 2, | |
15: 3, | |
21: 4, | |
24: 5, | |
25: 6, | |
29: 7, | |
31: 8, | |
35: 9, | |
} | |
# Read CSV file | |
df = pd.read_csv(file_path) | |
def get_opt_step(config_id): | |
remainder = config_id % 35 | |
for key, value in opt_step.items(): | |
if remainder < key: | |
return value + (config_id // 35) * 10 | |
assert False | |
df["optimization_step"] = df["config_id"].map(get_opt_step) | |
df.to_csv(file_path, index=False) | |
print(f"Saved processed file: {file_path}\n") | |
except Exception as e: | |
print(f"Error processing {file_path}: {e}") | |
if __name__ == "__main__": | |
directories = ["smac_mf"] | |
replace_empty_performance(directories) | |