"""simple docstring"""
from __future__ import annotations

import unittest

from transformers import is_tf_available
from transformers.testing_utils import require_sentencepiece, require_tf, require_tokenizers, slow


if is_tf_available():
					import tensorflow as tf

					from transformers import AutoTokenizer, TFAutoModelForSeqaSeqLM



@require_tf
@require_sentencepiece
@require_tokenizers
class 					lowerCAmelCase_      (     unittest.TestCase   ):



				"""simple docstring"""

				@slow
				def 						snake_case	(			self      ):






										"""simple docstring"""

										snake_case        =     TFAutoModelForSeqaSeqLM.from_pretrained('google/mt5-small'      )
										snake_case        =     AutoTokenizer.from_pretrained('google/mt5-small'      )

										snake_case        =     tokenizer('Hello there'						,      return_tensors='tf'      ).input_ids
										snake_case        =     tokenizer('Hi I am'						,      return_tensors='tf'      ).input_ids

										snake_case        =     model(lowerCAmelCase						,      labels=lowerCAmelCase      ).loss
										snake_case        =     -tf.math.reduce_mean(lowerCAmelCase      ).numpy()

										snake_case        =     -21.22_81_68
										self.assertTrue(abs(mtf_score - EXPECTED_SCORE      ) < 2E-4      )



"""simple docstring"""
from __future__ import annotations

from typing import Any



class 					lowerCAmelCase_      (     lowerCAmelCase   ):



				"""simple docstring"""
				pass





class 					lowerCAmelCase_      :



				"""simple docstring"""

				def __init__(			self						,      lowerCAmelCase      ):






										"""simple docstring"""

										snake_case        =     data
										snake_case        =     None

				def __iter__(			self      ):






										"""simple docstring"""

										snake_case        =     self
										snake_case        =     []
										while node:
																if node in visited:
																						raise ContainsLoopError
																visited.append(lowerCAmelCase      )
																yield node.data
																snake_case        =     node.next_node

				@property
				def 						snake_case	(			self      ):






										"""simple docstring"""

										try:
																list(self      )
																return False
										except ContainsLoopError:
																return True


if __name__ == "__main__":
					SCREAMING_SNAKE_CASE__   =					Node(1)
					SCREAMING_SNAKE_CASE__   =					Node(2)
					SCREAMING_SNAKE_CASE__   =					Node(3)
					SCREAMING_SNAKE_CASE__   =					Node(4)
					print(root_node.has_loop)  # False
					SCREAMING_SNAKE_CASE__   =					root_node.next_node
					print(root_node.has_loop)  # True

					SCREAMING_SNAKE_CASE__   =					Node(5)
					SCREAMING_SNAKE_CASE__   =					Node(6)
					SCREAMING_SNAKE_CASE__   =					Node(5)
					SCREAMING_SNAKE_CASE__   =					Node(6)
					print(root_node.has_loop)  # False

					SCREAMING_SNAKE_CASE__   =					Node(1)
					print(root_node.has_loop)  # False


