code: def configure_logger(verbose: bool) -> None:
      """
      Configure application logger.
  
      Parameters:
          verbose (bool):
              `True` to use verbose logger, `False` otherwise.
      """
      from tensorflow import get_logger  # type: ignore
      from tensorflow.compat.v1 import logging as tf_logging  # type: ignore
  
      tf_logger = get_logger()
      tf_logger.handlers = [handler]
      if verbose:
          tf_logging.set_verbosity(tf_logging.INFO)
          logger.setLevel(logging.DEBUG)
      else:
          warnings.filterwarnings("ignore")
          tf_logging.set_verbosity(tf_logging.ERROR)
  
imports: import logging
  import warnings
  from os import environ
  from typer import echo
label_desc: Use image node_id 1 for calling a global function with example usage: configure_logger(verbose) without return types