code: def corrcoef(
      x: JaxArray,
      /,
      *,
      y: Optional[JaxArray] = None,
      rowvar: bool = True,
      out: Optional[JaxArray] = None,
  ) -> JaxArray:
      return jnp.corrcoef(x, y=y, rowvar=rowvar)
  
imports: import jax.numpy
  from typing import Optional, Union, Tuple, Sequence
  from ivy.functional.backends.jax import JaxArray
  import jax.lax
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from .None import backend_version
  from ..statistical import _infer_dtype
label_desc: Use image node_id 7 for calling a global function with example usage: corrcoef() and returns: jnp