code: def _convert_to_shape_tensor_jax(
      value, dtype=None, dtype_hint=None, name=None
  ):  # pylint: disable=unused-argument
      """Converts vectors and scalars of `int`-like to `ndarray`."""
      dtype = dtype_util.as_numpy_dtype(dtype or dtype_hint or np.int32)
      try:
          return np.array(
              [_convert_to_shape_tensor_jax(v, dtype) for v in value],
              dtype=dtype,
          )
      except:  # JAX throws raw Exception in some cases.  # pylint: disable=bare-except
          pass
      return np.array(int(value), dtype=dtype)
  
imports: import decorator
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal.backend import numpy
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.ops import control_flow_case
  from tensorflow.python.util import tf_inspect
label_desc: Use image node_id 7 for calling a global function with example usage: _convert_to_shape_tensor_jax(value, dtype, dtype_hint, name) and returns: np, np