code: def fetch_wmap_temperatures(
      masked=False, data_home=None, download_if_missing=True
  ):
      """Loader for WMAP temperature map data
  
      Parameters
      ----------
      masked : optional, default=False
          If True, then return the foreground-masked healpix array of data
          If False, then return the raw temperature array
      data_home : optional, default=None
          Specify another download and cache folder for the datasets. By default
          all astroML data is stored in '~/astroML_data'.
      download_if_missing : optional, default=True
          If False, raise a IOError if the data is not locally available
          instead of trying to download the data from the source site.
  
      Returns
      -------
      data : np.ndarray or np.ma.MaskedArray
          record array containing (masked) temperature data
      """
      # because of a bug in healpy, pylab must be imported before healpy is
      # or else a segmentation fault can result.
      import healpy as hp
  
      data_home = get_data_home(data_home)
  
      data_file = os.path.join(data_home, os.path.basename(DATA_URL))
      mask_file = os.path.join(data_home, os.path.basename(MASK_URL))
  
      if not os.path.exists(data_file):
          if not download_if_missing:
              raise IOError(
                  "data not present on disk. "
                  "set download_if_missing=True to download"
              )
          data_buffer = download_with_progress_bar(DATA_URL)
          open(data_file, "wb").write(data_buffer)
  
      data = hp.read_map(data_file)
  
      if masked:
          if not os.path.exists(mask_file):
              if not download_if_missing:
                  raise IOError(
                      "mask data not present on disk. "
                      "set download_if_missing=True to download"
                  )
              mask_buffer = download_with_progress_bar(MASK_URL)
              open(mask_file, "wb").write(mask_buffer)
  
          mask = hp.read_map(mask_file)
  
          data = hp.ma(data)
          data.mask = np.logical_not(
              mask
          )  # WMAP mask has 0=bad. We need 1=bad
  
      return data
  
imports: import os
  import numpy
  from .None import get_data_home
  from .tools import download_with_progress_bar
label_desc: Use image node_id 1 for calling a global function with example usage: fetch_wmap_temperatures(masked, data_home, download_if_missing) and returns: data