code: def _pad_to(arr, shape):
      """Pad an array with trailing zeros to a given target shape.
  
      Parameters
      ----------
      arr : ndarray
          The input array.
      shape : tuple
          The target shape.
  
      Returns
      -------
      padded : ndarray
          The padded array.
  
      Examples
      --------
      >>> _pad_to(np.ones((1, 1), dtype=int), (1, 3))
      array([[1, 0, 0]])
      """
      if not all(s >= i for s, i in zip(shape, arr.shape)):
          raise ValueError(
              f"Target shape {shape} cannot be smaller than input"
              f"shape {arr.shape} along any axis."
          )
      padding = [(0, s - i) for s, i in zip(shape, arr.shape)]
      return np.pad(
          arr, pad_width=padding, mode="constant", constant_values=0
      )
  
file_path: scikit-image/skimage/metrics/simple_metrics.py
imports: import numpy
  from scipy.stats import entropy
  from ..util.dtype import dtype_range
  from .._shared.utils import _supported_float_type, check_shape_equality, warn
label_desc: Use image node_id 5 for calling a global function with example usage: _pad_to(arr, shape) and returns: np