code: def _dtype_and_weaktype(value):
      """Return a (dtype, weak_type) tuple for the given input."""
      is_weak_type = False
      if value is int or value is float:
          # Note that we can't use `value in [int, float]` because the dtype
          # might be equal to python scalar types.
          # e.g, tf.float32 == float is True
          is_weak_type = True
      return standardize_dtype(value), is_weak_type
  
file_path: keras/keras/backend/common/dtypes.py
imports: import functools
  from keras import backend
  from keras.api_export import keras_export
  from keras.backend.common.variables import ALLOWED_DTYPES
  from keras.backend.common.variables import standardize_dtype
label_desc: Use image node_id 4 for calling a global function with example usage: _dtype_and_weaktype(value) and returns: standardize_dtype,  is_weak_type