code: def scale_times_to_generate(
      times_to_generate: int, time_frame: str
  ) -> int:
      """Adjusts the number of times to generate the prices based on a time frame.
  
      Parameters
      ----------
      times_to_generate : int
          The number of time to generate prices.
      time_frame : str
          The time frame for generating.
          (e.g. 1h, 1min, 1w, 1d)
  
      Returns
      -------
      int
          The adjusted number of times to generate.
  
      Raises
      ------
      ValueError
          Raised if the `time_frame` provided does not match the correct format.
      """
  
      if "MIN" in time_frame.upper():
          times_to_generate *= int(re.findall(r"\d+", time_frame)[0])
      elif "H" in time_frame.upper():
          times_to_generate *= (
              int(re.findall(r"\d+", time_frame)[0]) * 60
          )
      elif "D" in time_frame.upper():
          times_to_generate *= (
              int(re.findall(r"\d+", time_frame)[0]) * 60 * 24
          )
      elif "W" in time_frame.upper():
          times_to_generate *= (
              int(re.findall(r"\d+", time_frame)[0]) * 60 * 24 * 7
          )
      elif "M" in time_frame.upper():
          times_to_generate *= (
              int(re.findall(r"\d+", time_frame)[0]) * 60 * 24 * 7 * 30
          )
      else:
          raise ValueError(
              "Timeframe must be either in minutes (min), hours (H), days (D), weeks (W), or months (M)"
          )
  
      return times_to_generate
  
file_path: tensortrade/tensortrade/stochastic/utils/helpers.py
imports: import re
  from typing import Callable
  import numpy
  import pandas
  from stochastic.processes.noise import GaussianNoise
  from tensortrade.stochastic.utils.parameters import ModelParameters, default
label_desc: Use image node_id 1 for calling a global function with example usage: scale_times_to_generate(times_to_generate, time_frame) and returns: times_to_generate