





import os
import unittest

import pytest
from parameterized import parameterized

from transformers.testing_utils import require_torch, require_torch_gpu, slow, torch_device


# skipping in unittest tests

_UpperCAmelCase										=					[(1,)]




def 			lowerCAmelCase_			(				)  ->		Any:
       UpperCamelCase_ 							=	bool(os.getenv("RUN_SLOW"       ,		0	)	)
       if run_slow:
              assert True
       else:
              assert False, "should have been skipped"




def 			lowerCAmelCase_			(				)  ->		Tuple:
       UpperCamelCase_ 							=	bool(os.getenv("RUN_SLOW"       ,		0	)	)
       if run_slow and torch_device == "cuda":
              assert True
       else:
              assert False, "should have been skipped"



@require_torch
class 				_UpperCamelCase       (						unittest.TestCase  ):

       @slow
       @require_torch_gpu
       def lowercase			(		self:			str		)							->			Dict:




              """simple docstring"""


              check_slow_torch_cuda()

       @require_torch_gpu
       @slow
       def lowercase			(		self:			List[Any]		)							->			Optional[Any]:




              """simple docstring"""


              check_slow_torch_cuda()



       @parameterized.expand(_SCREAMING_SNAKE_CASE		)
       @slow
       def lowercase			(		self:			Any       , _SCREAMING_SNAKE_CASE:			List[str]=None		)							->			Optional[Any]:




              """simple docstring"""


              check_slow()




@slow
@require_torch_gpu
def 			lowerCAmelCase_			(				)  ->		List[str]:
       check_slow_torch_cuda()




@require_torch_gpu
@slow
def 			lowerCAmelCase_			(				)  ->		Optional[Any]:
       check_slow_torch_cuda()




@slow
@pytest.mark.parametrize("param"       ,		[1]	)
def 			lowerCAmelCase_			(				UpperCamelCase_	)  ->		List[str]:
       check_slow()







@pytest.mark.parametrize("param"       ,		[1]	)
@slow
def 			lowerCAmelCase_			(				UpperCamelCase_	)  ->		Optional[int]:
       check_slow()








def 			lowerCAmelCase_			(				UpperCamelCase_	)  ->		str:
       UpperCamelCase_ 							=	word.upper()
       UpperCamelCase_ 							=	0
       UpperCamelCase_ 							=	{}
       UpperCamelCase_ 							=	[]

       for letter in word:
              if letter not in letter_nums:
                     UpperCamelCase_ 							=	str(UpperCamelCase_	)
                     next_num += 1
              word_pattern.append(letter_nums[letter]	)
       return ".".join(UpperCamelCase_	)


if __name__ == "__main__":
     import pprint
     import time

     _UpperCAmelCase										=					time.time()
     with open('dictionary.txt') as in_file:
          _UpperCAmelCase										=					in_file.read().splitlines()

     _UpperCAmelCase										=					{}
     for word in word_list:
          _UpperCAmelCase										=					get_word_pattern(word)
          if pattern in all_patterns:
               all_patterns[pattern].append(word)
          else:
               _UpperCAmelCase										=					[word]

     with open('word_patterns.txt', 'w') as out_file:
          out_file.write(pprint.pformat(all_patterns))

     _UpperCAmelCase										=					round(time.time() - start_time, 2)
     print(f'''Done!  {len(all_patterns):,} word patterns found in {total_time} seconds.''')
     # Done!  9,581 word patterns found in 0.58 seconds.

