code: def diagonal(
      x: JaxArray,
      /,
      *,
      offset: int = 0,
      axis1: int = -2,
      axis2: int = -1,
      out: Optional[JaxArray] = None,
  ) -> JaxArray:
      if x.dtype != bool and not jnp.issubdtype(x.dtype, jnp.integer):
          ret = jnp.diagonal(x, offset=offset, axis1=axis1, axis2=axis2)
          ret_edited = jnp.diagonal(
              x.at[1 / x == -jnp.inf].set(-jnp.inf),
              offset=offset,
              axis1=axis1,
              axis2=axis2,
          )
          ret_edited = ret_edited.at[ret_edited == -jnp.inf].set(-0.0)
          ret = ret.at[ret == ret_edited].set(
              ret_edited[ret == ret_edited]
          )
      else:
          ret = jnp.diagonal(x, offset=offset, axis1=axis1, axis2=axis2)
      return ret
  
imports: from collections import namedtuple
  from typing import Union, Optional, Tuple, Literal, Sequence, NamedTuple
  import jax.numpy
  import ivy
  from ivy import inf
  from ivy.func_wrapper import with_unsupported_dtypes
  from ivy.functional.backends.jax import JaxArray
  from .None import backend_version
  from ivy import promote_types_of_inputs
label_desc: Use image node_id 5 for calling a global function with example usage: diagonal() and returns: ret