code: def _resolve_weak_type(dtype, precision="32"):
      """Resolve weak type by the precision of `backend.floatx()`."""
      extended_allowed_dtypes = ALLOWED_DTYPES.union(WEAK_TYPES)
      if dtype not in extended_allowed_dtypes:
          raise ValueError(
              "Invalid value for argument `dtype`. Expected one of "
              f"{extended_allowed_dtypes}. Received: dtype={dtype}"
          )
      if precision not in ["16", "32", "64"]:
          raise ValueError(
              f"Invalid value for argument `precision`. Expected one of "
              f"('16', '32', '64'). Received: precision={precision}"
          )
      if dtype == "bfloat16":  # special case for bfloat16
          dtype_indicator = "f"
      else:
          dtype_indicator = dtype[:1]
  
      if dtype_indicator == "b":
          return "bool"
      elif dtype_indicator == "i":
          return "int" + precision
      elif dtype_indicator == "u":
          return "uint" + precision
      else:
          return "float" + precision
  
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 6 for calling a global function with example usage: _resolve_weak_type(dtype, precision) and returns: str, unknown, unknown, unknown