BVh0 >dZddlmZddlmZddlmZdZdZdZ y) z+Exception handling statements: assert, etc.) tensor_util)control_flow_assert) tf_inspectct|stdj|tj|\}}}}|s|rtdj|t j |r t||St||S)a,Functional form of an assert statement. This follows the semantics of the Python assert statement, however the concrete implementations may deviate from it. See the respective implementation for details. In general, the assert statement should not be used for control flow. Furthermore, it is encouraged that the assertion expressions should not have side effects. Args: expression1: Any expression2: Callable[[], Any], returns the expression to include in the error message when expression1 evaluates to False. When expression1 is True, the result of expression2 will not be evaluated, however, expression2 itself may be evaluated in some implementations. Returns: Any, implementation-dependent. Raises: ValueError: if any arguments are illegal. z{} must be a callablez{} may not have any arguments) callable ValueErrorformatr getargspecr is_tf_type_tf_assert_stmt_py_assert_stmt) expression1 expression2args_keywordss `/home/dcms/DCMS/lib/python3.12/site-packages/tensorflow/python/autograph/operators/exceptions.py assert_stmtrs0 +  ,33K@ AA#..{;$8Q X 4;;KH IIK( ; 44 ; 44cb|}t|ts|g}tj||S)aOverload of assert_stmt that stages a TF Assert. This implementation deviates from Python semantics as follows: (1) the assertion is verified regardless of the state of __debug__ (2) on assertion failure, the graph execution will fail with tensorflow.errors.ValueError, rather than AssertionError. Args: expression1: tensorflow.Tensor, must evaluate to a tf.bool scalar expression2: Callable[[], Union[tensorflow.Tensor, List[tensorflow.Tensor]]] Returns: tensorflow.Operation ) isinstancelistrAssert)rrexpression2_tensorss rr r :s4$  ' ../  # #K1D EErc |s J|y)z@Overload of assert_stmt that executes a Python assert statement.N)rrs rr r Os #km# rN) __doc__tensorflow.python.frameworkrtensorflow.python.opsrtensorflow.python.utilrrr r rrrr!s$235-!5HF*r