code: def _normalize_float(x):
      info = dtypes.finfo(dtypes.dtype(x))
      int_type = _INT_DTYPES[info.bits]
      cond = lax.abs(x) < info.tiny
      x1 = _where(cond, x * _lax_const(x, 1 << info.nmant), x)
      x2 = _where(cond, int_type(-info.nmant), int_type(0))
      return lax.bitcast_convert_type(x1, int_type), x2
  
imports: from __future__ import annotations
  from functools import partial
  import operator
  from textwrap import dedent
  from typing import Any, Callable, overload
  import numpy
  from jax._src import core
  from jax._src import dtypes
  from jax._src.api import jit
  from jax._src.custom_derivatives import custom_jvp
  from jax._src.lax import lax
  from jax._src.typing import Array, ArrayLike
  from jax._src.numpy.util import check_arraylike, promote_args, promote_args_inexact, promote_args_numeric, promote_dtypes_inexact, promote_dtypes_numeric, promote_shapes, _where, _wraps, check_no_float0s
label_desc: Use image node_id 35 for calling a global function with example usage: _normalize_float(x) and returns: lax,  x2