code: def atmospheric_path_length_correction(
      data, cos_zen, limit=88.0, max_sza=95.0
  ):
      """Perform Sun zenith angle correction.
  
      This function uses the correction method proposed by
      Li and Shibata (2006): https://doi.org/10.1175/JAS3682.1
  
      The correction is limited to ``limit`` degrees (default: 88.0 degrees). For
      larger zenith angles, the correction is the same as at the ``limit`` if
      ``max_sza`` is `None`. The default behavior is to gradually reduce the
      correction past ``limit`` degrees up to ``max_sza`` where the correction
      becomes 0. Both ``data`` and ``cos_zen`` should be 2D arrays of the same
      shape.
  
      """
      # Convert the zenith angle limit to cosine of zenith angle
      limit_rad = np.deg2rad(limit)
      limit_cos = np.cos(limit_rad)
      max_sza_rad = (
          np.deg2rad(max_sza) if max_sza is not None else max_sza
      )
  
      # Cosine correction
      corr = _get_sunz_corr_li_and_shibata(cos_zen)
      # Use constant value (the limit) for larger zenith angles
      corr_lim = _get_sunz_corr_li_and_shibata(limit_cos)
  
      if max_sza is not None:
          # gradually fall off for larger zenith angle
          grad_factor = (np.arccos(cos_zen) - limit_rad) / (
              max_sza_rad - limit_rad
          )
          # invert the factor so maximum correction is done at `limit` and falls off later
          grad_factor = 1.0 - np.log(grad_factor + 1) / np.log(2)
          # make sure we don't make anything negative
          grad_factor = grad_factor.clip(0.0)
      else:
          # Use constant value (the limit) for larger zenith angles
          grad_factor = 1.0
      corr = corr.where(cos_zen > limit_cos, grad_factor * corr_lim)
      # Force "night" pixels to 0 (where SZA is invalid)
      corr = corr.where(cos_zen.notnull(), 0)
  
      return data * corr
  
imports: from __future__ import annotations
  import contextlib
  import datetime
  import logging
  import os
  import pathlib
  import warnings
  from contextlib import contextmanager
  from copy import deepcopy
  from typing import Literal, Mapping, Optional
  from urllib.parse import urlparse
  import dask.utils
  import numpy
  import xarray
  import yaml
  from yaml import BaseLoader, UnsafeLoader
  from satpy._compat import DTypeLike
label_desc: Use image node_id 17 for calling a global function with example usage: atmospheric_path_length_correction(data, cos_zen, limit, max_sza) and returns: unknown