old_contents: import numpy as np
  import warnings
  import matplotlib.pyplot as plt
  from skimage.util import dtype as dtypes
  
  
  def imshow(im, *args, **kwargs):
      """Show the input image and return the current axes.
  
      Images are assumed to have standard range for their type. For
      example, if a floating point image has values in [0, 0.5], the
      most intense color will be gray50, not white, as would be the
      default in matplotlib.
  
      In contrast, if the image exceeds the standard range, this
      function defaults back to displaying exactly the range of the
      input image, along with a colorbar to clearly indicate that
      this range transformation has occurred.
  
      Parameters
      ----------
      im : array, shape (M, N[, 3])
          The image to display.
  
      *args, **kwargs : positional and keyword arguments
          These are passed directly to `matplotlib.pyplot.imshow`.
  
      Returns
      -------
      ax : `matplotlib.pyplot.AxesImage`
          The `AxesImage` object returned by `plt.imshow`.
      """
      if plt.gca().has_data():
          plt.figure()
      immin, immax = np.min(im), np.max(im)
      supported_dtype = im.dtype in dtypes._supported_types
      if supported_dtype:
          lo, hi = dtypes.dtype_range[im.dtype.type]
          if immin >= 0:
              # display range starts at 0 for nonnegative images
              lo = 0
      else:
          lo, hi = immin, immax
          warnings.warn("Non-standard image type; displaying image with "
                        "stretched contrast.")
      out_of_range_float = (np.issubdtype(im.dtype, np.float) and
                            (immin < lo or immax > hi))
      if out_of_range_float:
          warnings.warn("Float image out of standard range; displaying image "
                        "with stretched contrast.")
      low_dynamic_range = (immin != immax and
                           (float(immax - immin) / (hi - lo)) < (1. / 255))
      if low_dynamic_range:
          warnings.warn("Low image dynamic range; displaying image with "
                        "stretched contrast.")
      if not supported_dtype or out_of_range_float or low_dynamic_range:
          lo, hi = immin, immax
      kwargs.setdefault('interpolation', 'nearest')
      kwargs.setdefault('cmap', 'gray')
      kwargs.setdefault('vmin', lo)
      kwargs.setdefault('vmax', hi)
      ax = plt.imshow(im, *args, **kwargs)
      if not supported_dtype or out_of_range_float or low_dynamic_range:
          plt.colorbar()
      return ax
  
  imread = plt.imread
  show = plt.show
  
  
  def _app_show():
      show()
  
new_contents: import numpy as np
  import warnings
  import matplotlib.pyplot as plt
  from skimage.util import dtype as dtypes
  
  
  def imshow(im, *args, **kwargs):
      """Show the input image and return the current axes.
  
      Images are assumed to have standard range for their type. For
      example, if a floating point image has values in [0, 0.5], the
      most intense color will be gray50, not white, as would be the
      default in matplotlib.
  
      In contrast, if the image exceeds the standard range, this
      function defaults back to displaying exactly the range of the
      input image, along with a colorbar to clearly indicate that
      this range transformation has occurred.
  
      Parameters
      ----------
      im : array, shape (M, N[, 3])
          The image to display.
  
      *args, **kwargs : positional and keyword arguments
          These are passed directly to `matplotlib.pyplot.imshow`.
  
      Returns
      -------
      ax_im : `matplotlib.pyplot.AxesImage`
          The `AxesImage` object returned by `plt.imshow`.
      """
      if plt.gca().has_data():
          plt.figure()
      immin, immax = np.min(im), np.max(im)
      supported_dtype = im.dtype in dtypes._supported_types
      if supported_dtype:
          lo, hi = dtypes.dtype_range[im.dtype.type]
          if immin >= 0:
              # display range starts at 0 for nonnegative images
              lo = 0
      else:
          lo, hi = immin, immax
          warnings.warn("Non-standard image type; displaying image with "
                        "stretched contrast.")
      out_of_range_float = (np.issubdtype(im.dtype, np.float) and
                            (immin < lo or immax > hi))
      if out_of_range_float:
          warnings.warn("Float image out of standard range; displaying image "
                        "with stretched contrast.")
      low_dynamic_range = (immin != immax and
                           (float(immax - immin) / (hi - lo)) < (1. / 255))
      if low_dynamic_range:
          warnings.warn("Low image dynamic range; displaying image with "
                        "stretched contrast.")
      if not supported_dtype or out_of_range_float or low_dynamic_range:
          lo, hi = immin, immax
      kwargs.setdefault('interpolation', 'nearest')
      kwargs.setdefault('cmap', 'gray')
      kwargs.setdefault('vmin', lo)
      kwargs.setdefault('vmax', hi)
      ax_im = plt.imshow(im, *args, **kwargs)
      if not supported_dtype or out_of_range_float or low_dynamic_range:
          plt.colorbar()
      return ax_im
  
  imread = plt.imread
  show = plt.show
  
  
  def _app_show():
      show()
  
subject: Rename ax to ax_im in mpl imshow plugin