code: def corrcoef(
      x: np.ndarray,
      /,
      *,
      y: Optional[np.ndarray] = None,
      rowvar: bool = True,
      dtype: np.dtype = None,
      out: Optional[np.ndarray] = None,
  ) -> np.ndarray:
      dtype = dtype if dtype is not None else np.float64
  
      return np.corrcoef(x, y=y, rowvar=rowvar, dtype=dtype)
  
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 12 for calling a global function with example usage: corrcoef() and returns: np