code: def fix_length(
      data: np.ndarray, *, size: int, axis: int = -1, **kwargs: Any
  ) -> np.ndarray:
      """Fix the length an array ``data`` to exactly ``size`` along a target axis.
  
      If ``data.shape[axis] < n``, pad according to the provided kwargs.
      By default, ``data`` is padded with trailing zeros.
  
      Examples
      --------
      >>> y = np.arange(7)
      >>> # Default: pad with zeros
      >>> librosa.util.fix_length(y, size=10)
      array([0, 1, 2, 3, 4, 5, 6, 0, 0, 0])
      >>> # Trim to a desired length
      >>> librosa.util.fix_length(y, size=5)
      array([0, 1, 2, 3, 4])
      >>> # Use edge-padding instead of zeros
      >>> librosa.util.fix_length(y, size=10, mode='edge')
      array([0, 1, 2, 3, 4, 5, 6, 6, 6, 6])
  
      Parameters
      ----------
      data : np.ndarray
          array to be length-adjusted
      size : int >= 0 [scalar]
          desired length of the array
      axis : int, <= data.ndim
          axis along which to fix length
      **kwargs : additional keyword arguments
          Parameters to ``np.pad``
  
      Returns
      -------
      data_fixed : np.ndarray [shape=data.shape]
          ``data`` either trimmed or padded to length ``size``
          along the specified axis.
  
      See Also
      --------
      numpy.pad
      """
      kwargs.setdefault("mode", "constant")
  
      n = data.shape[axis]
  
      if n > size:
          slices = [slice(None)] * data.ndim
          slices[axis] = slice(0, size)
          return data[tuple(slices)]
  
      elif n < size:
          lengths = [(0, 0)] * data.ndim
          lengths[axis] = (0, size - n)
          return np.pad(data, lengths, **kwargs)
  
      return data
  
imports: from __future__ import annotations
  import scipy.ndimage
  import scipy.sparse
  import numpy
  import numba
  from numpy.lib.stride_tricks import as_strided
  from .._cache import cache
  from .exceptions import ParameterError
  from .deprecation import Deprecated
  from numpy.typing import ArrayLike, DTypeLike
  from typing import Any, Callable, Iterable, List, Dict, Optional, Sequence, Tuple, TypeVar, Union, overload
  from typing_extensions import Literal
  from .._typing import _SequenceLike, _FloatLike_co, _ComplexLike_co
label_desc: Use image node_id 8 for calling a global function with example usage: fix_length(data) and returns: data, data, np