code: def min(
      x: JaxArray,
      /,
      *,
      axis: Optional[Union[int, Sequence[int]]] = None,
      keepdims: bool = False,
      initial: Optional[Union[int, float, complex]] = None,
      where: Optional[JaxArray] = None,
      out: Optional[JaxArray] = None,
  ) -> JaxArray:
      axis = tuple(axis) if isinstance(axis, list) else axis
      return jnp.min(
          a=jnp.asarray(x),
          axis=axis,
          keepdims=keepdims,
          initial=initial,
          where=where,
      )
  
file_path: ivy/ivy/functional/backends/jax/statistical.py
imports: import jax.numpy
  from typing import Union, Optional, Sequence
  import ivy
  from ivy.func_wrapper import with_unsupported_dtypes
  from ivy.functional.backends.jax import JaxArray
  from .None import backend_version
label_desc: Use image node_id 1 for calling a global function with example usage: min() and returns: jnp