code: def bincount(
      x: np.ndarray,
      /,
      *,
      weights: Optional[np.ndarray] = None,
      minlength: int = 0,
      out: Optional[np.ndarray] = None,
  ) -> np.ndarray:
      if weights is not None:
          ret = np.bincount(x, weights=weights, minlength=minlength)
          ret = ret.astype(weights.dtype)
      else:
          ret = np.bincount(x, minlength=minlength)
          ret = ret.astype(x.dtype)
      return ret
  
imports: from typing import Optional, Union, Tuple, Sequence
  import numpy
  import math
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from .None import backend_version
  from ..statistical import _infer_dtype
  from copy import deepcopy
label_desc: Use image node_id 14 for calling a global function with example usage: bincount() and returns: ret