code: def buf_to_float(
      x: np.ndarray, *, n_bytes: int = 2, dtype: DTypeLike = np.float32
  ) -> np.ndarray:
      """Convert an integer buffer to floating point values.
      This is primarily useful when loading integer-valued wav data
      into numpy arrays.
  
      Parameters
      ----------
      x : np.ndarray [dtype=int]
          The integer-valued data buffer
      n_bytes : int [1, 2, 4]
          The number of bytes per sample in ``x``
      dtype : numeric type
          The target output type (default: 32-bit float)
  
      Returns
      -------
      x_float : np.ndarray [dtype=float]
          The input data buffer cast to floating point
      """
      # Invert the scale of the data
      scale = 1.0 / float(1 << ((8 * n_bytes) - 1))
  
      # Construct the format string
      fmt = f"<i{n_bytes:d}"
  
      # Rescale and format the data buffer
      return scale * np.frombuffer(x, fmt).astype(dtype)
  
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 22 for calling a global function with example usage: buf_to_float(x) and returns: unknown