

'''simple docstring'''


def     SCREAMING_SNAKE_CASE(	UpperCamelCase	)     ->     str:
	UpperCAmelCase_		:   List[Any]													=       word.upper()
	UpperCAmelCase_		:   Optional[Any]													=       0
	UpperCAmelCase_		:   List[str]													=       {}
	UpperCAmelCase_		:   Any													=       []

	for letter in word:
		if letter not in letter_nums:
			UpperCAmelCase_		:   Union[str, Any]													=       str(UpperCamelCase	)
			next_num += 1
		word_pattern.append(letter_nums[letter]	)
	return ".".join(UpperCamelCase	)


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

						lowerCAmelCase__      				=			time.time()
						with open("dictionary.txt") as in_file:
												lowerCAmelCase__      				=			in_file.read().splitlines()

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

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

						lowerCAmelCase__      				=			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.









'''simple docstring'''


import unittest

from transformers import is_torch_available, load_tool

from .test_tools_common import ToolTesterMixin


if is_torch_available():
						import torch



class        lowercase    (	unittest.TestCase,       a_			):


							def     _snake_case				(      self)				->					Optional[int]:
								UpperCAmelCase_		:   int													=       load_tool('speech-to-text')
								self.tool.setup()


							def     _snake_case				(      self)				->					Any:
								UpperCAmelCase_		:   str													=       self.tool(torch.ones(3000))
								self.assertEqual(_snake_case     ,      ' you')





							def     _snake_case				(      self)				->					str:
								UpperCAmelCase_		:   List[Any]													=       self.tool(audio=torch.ones(3000))
								self.assertEqual(_snake_case     ,      ' you')






