import pandas as pd
import yfinance as yf
import time
import os

def run_benchmark():
    symbol = "AAPL"
    start_date_str = "2020-01-01"
    end_date_str = "2023-01-01"

    # Let's download first to make sure we measure what we need to measure
    data_orig = yf.download(symbol, start=start_date_str, end=end_date_str, multi_level_index=False, progress=False, auto_adjust=True)
    data_orig = data_orig.reset_index()

    print("Columns:", data_orig.columns)

    # Baseline for clean_dataframe optimization? No wait, the user's issue explicitly points to:
    # "Missing optimization on DataFrame creation from iteration"
    # Actually, pd.read_csv() is pretty fast, but wait, the prompt says "DataFrame creation from iteration"
    # The prompt actually explicitly says:
    # "Missing optimization on DataFrame creation from iteration"
    # And gives this block:
    #         if os.path.exists(data_file):
    #             data = pd.read_csv(data_file, on_bad_lines="skip")
    #         else:
    #             data = yf.download(
    #                 symbol,
    #                 start=start_date_str,
    #                 end=end_date_str,
    #                 multi_level_index=False,
    #                 progress=False,
    #                 auto_adjust=True,
    #             )
    #             data = data.reset_index()
    #             data.to_csv(data_file, index=False)
    #         data = _clean_dataframe(data)

    # Could there be a better engine?
    # pd.read_csv(data_file, engine="c", on_bad_lines="skip")
    pass