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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)
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