


import tempfile
import unittest

from transformers import AutoModelForSeqaSeqLM, AutoTokenizer
from transformers.testing_utils import (
    is_torch_available,
    require_optimum,
    require_torch,
    slow,
)


if is_torch_available():
   import torch






@require_torch
@require_optimum
@slow
class     UpperCAmelCase__       (					unittest.TestCase		):



    """simple docstring"""






    def _a					(			self    )  ->       Any:
         __UpperCamelCase    							='hf-internal-testing/tiny-random-t5'
         __UpperCamelCase    							=AutoTokenizer.from_pretrained(A_    )
         __UpperCamelCase    							=AutoModelForSeqaSeqLM.from_pretrained(A_    )

         __UpperCamelCase    							=tokenizer('This is me'					,   return_tensors='pt'    )

         __UpperCamelCase    							=model.to_bettertransformer()

         self.assertTrue(any('BetterTransformer' in mod.__class__.__name__ for _, mod in model.named_modules()    )    )

         __UpperCamelCase    							=model.generate(**A_    )

         __UpperCamelCase    							=model.reverse_bettertransformer()

         self.assertFalse(any('BetterTransformer' in mod.__class__.__name__ for _, mod in model.named_modules()    )    )

         with tempfile.TemporaryDirectory() as tmpdirname:
              model.save_pretrained(A_    )

              __UpperCamelCase    							=AutoModelForSeqaSeqLM.from_pretrained(A_    )

              self.assertFalse(
                  any('BetterTransformer' in mod.__class__.__name__ for _, mod in model_reloaded.named_modules()    )    )

              __UpperCamelCase    							=model_reloaded.generate(**A_    )
              self.assertTrue(torch.allclose(A_					,   A_    )    )






    def _a					(			self    )  ->       str:
         __UpperCamelCase    							='hf-internal-testing/tiny-random-t5'
         __UpperCamelCase    							=AutoModelForSeqaSeqLM.from_pretrained(A_    )

         __UpperCamelCase    							=model.to_bettertransformer()

         with tempfile.TemporaryDirectory() as tmpdirname:
              with self.assertRaises(A_    ):
                   model.save_pretrained(A_    )

              __UpperCamelCase    							=model.reverse_bettertransformer()
              model.save_pretrained(A_    )









_A		       =						{0: [2, 3], 1: [0], 2: [1], 3: [4], 4: []}

_A		       =						{0: [1, 2, 3], 1: [2], 2: [0], 3: [4], 4: [5], 5: [3]}

def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					dict[int, list[int]]			,     SCREAMING_SNAKE_CASE__			:					int			,     SCREAMING_SNAKE_CASE__			:					list[bool]				):
     __UpperCamelCase    							=True
     __UpperCamelCase    							=[]

     for neighbour in graph[vert]:
          if not visited[neighbour]:
               order += topology_sort(SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__				)

     order.append(SCREAMING_SNAKE_CASE__				)

     return order

def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					dict[int, list[int]]			,     SCREAMING_SNAKE_CASE__			:					int			,     SCREAMING_SNAKE_CASE__			:					list[bool]				):
     __UpperCamelCase    							=True
     __UpperCamelCase    							=[vert]

     for neighbour in reversed_graph[vert]:
          if not visited[neighbour]:
               component += find_components(SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__				)

     return component





def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					dict[int, list[int]]				):
     __UpperCamelCase    							=len(SCREAMING_SNAKE_CASE__				) * [False]
     __UpperCamelCase    							={vert: [] for vert in range(len(SCREAMING_SNAKE_CASE__				)				)}

     for vert, neighbours in graph.items():
          for neighbour in neighbours:
               reversed_graph[neighbour].append(SCREAMING_SNAKE_CASE__				)

     __UpperCamelCase    							=[]
     for i, was_visited in enumerate(SCREAMING_SNAKE_CASE__				):
          if not was_visited:
               order += topology_sort(SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__				)

     __UpperCamelCase    							=[]
     __UpperCamelCase    							=len(SCREAMING_SNAKE_CASE__				) * [False]

     for i in range(len(SCREAMING_SNAKE_CASE__				)				):
          __UpperCamelCase    							=order[len(SCREAMING_SNAKE_CASE__				) - i - 1]
          if not visited[vert]:
               __UpperCamelCase    							=find_components(SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__			,     SCREAMING_SNAKE_CASE__				)
               components_list.append(SCREAMING_SNAKE_CASE__				)

     return components_list





