





'''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      snake_case     (    unittest.TestCase       ):




 """simple docstring"""



 @slow
 def        _lowerCamelCase					(       self       :							Optional[Any]	):
        __UpperCamelCase       =  TFAutoModelForSeqaSeqLM.from_pretrained('google/mt5-small'	)
        __UpperCamelCase       =  AutoTokenizer.from_pretrained('google/mt5-small'	)

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

        __UpperCamelCase       =  model(__A							,	labels=__A	).loss
        __UpperCamelCase       =  -tf.math.reduce_mean(__A	).numpy()

        __UpperCamelCase       =  -21.22_8168
        self.assertTrue(abs(mtf_score - EXPECTED_SCORE	) < 2e-4	)







'''simple docstring'''
from __future__ import annotations

from typing import Any

class      snake_case     (    __lowerCamelCase       ):




 """simple docstring"""



 pass






class      snake_case     :




 """simple docstring"""



 def __init__(       self       :							List[Any]							,	__A       :							Any	):
        __UpperCamelCase       =  data
        __UpperCamelCase       =  None






 def __iter__(       self       :							Optional[Any]	):
        __UpperCamelCase       =  self
        __UpperCamelCase       =  []
        while node:
               if node in visited:
                      raise ContainsLoopError
               visited.append(__A	)
               yield node.data
               __UpperCamelCase       =  node.next_node






 @property
 def        _lowerCamelCase					(       self       :							List[str]	):
        try:
               list(self	)
               return False
        except ContainsLoopError:
               return True


if __name__ == "__main__":
    a__							:							Dict =Node(1)
    a__							:							Optional[int] =Node(2)
    a__							:							List[str] =Node(3)
    a__							:							Optional[int] =Node(4)
    print(root_node.has_loop)  # False
    a__							:							str =root_node.next_node
    print(root_node.has_loop)  # True

    a__							:							Optional[int] =Node(5)
    a__							:							List[Any] =Node(6)
    a__							:							int =Node(5)
    a__							:							Tuple =Node(6)
    print(root_node.has_loop)  # False

    a__							:							str =Node(1)
    print(root_node.has_loop)  # False
