
import inspect
import json
import os
import tempfile
import unittest

from transformers.models.speech_to_text_a import SpeechaTextaTokenizer
from transformers.models.speech_to_text_a.tokenization_speech_to_text_a import VOCAB_FILES_NAMES

from ...test_tokenization_common import TokenizerTesterMixin
class    _UpperCamelCase(   SCREAMING_SNAKE_CASE		,						unittest.TestCase				):
						__A:						str				   =      SpeechaTextaTokenizer
						__A:						Optional[Any]				   =      False

						def 						a__ (					self		:			List[Any]			):
													super().setUp()

													_UpperCAmelCase  :			Union[str, Any]	       =		"<s> <pad> </s> <unk> here@@ a couple of@@ words for the he@@ re@@ vocab".split(" "			)
													_UpperCAmelCase  :			Dict	       =		["he re</w> 123", "here a 1456"]
													_UpperCAmelCase  :			Union[str, Any]	       =		dict(zip(_lowerCamelCase	,						range(len(_lowerCamelCase			)			)			)			)

													_UpperCAmelCase  :			Tuple	       =		{"pad_token": "<pad>", "unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>"}

													_UpperCAmelCase  :			Any	       =		tempfile.mkdtemp()
													_UpperCAmelCase  :			Any	       =		os.path.join(self.tmpdirname	,						VOCAB_FILES_NAMES["vocab_file"]			)
													_UpperCAmelCase  :			Union[str, Any]	       =		os.path.join(self.tmpdirname	,						VOCAB_FILES_NAMES["merges_file"]			)

													with open(self.vocab_file	,						"w"	,						encoding="utf-8"			) as fp:
																				fp.write(json.dumps(_lowerCamelCase			) + "\n"			)

													with open(self.merges_file	,						"w"			) as fp:
																				fp.write("\n".join(_lowerCamelCase			)			)

						def 						a__ (					self		:			int			):
													_UpperCAmelCase  :			List[str]	       =		list(self.get_tokenizer().get_vocab().keys()			)

													self.assertEqual(vocab_keys[0]	,						"<s>"			)
													self.assertEqual(vocab_keys[1]	,						"<pad>"			)
													self.assertEqual(vocab_keys[-1]	,						"vocab"			)
													self.assertEqual(len(_lowerCamelCase			)	,						14			)

						def 						a__ (					self		:			List[str]			):
													self.assertEqual(self.get_tokenizer().vocab_size	,						14			)

						def 						a__ (					self		:			List[str]			):
													_UpperCAmelCase  :			str	       =		SpeechaTextaTokenizer.from_pretrained(self.tmpdirname			)

													# make sure @@ is correctly concatenated
													_UpperCAmelCase  :			Tuple	       =		[4, 6, 8, 7, 10]  # ["here@@", "couple", "words", "of@@", "the"]
													_UpperCAmelCase  :			Union[str, Any]	       =		tokenizer.decode(_lowerCamelCase			)

													self.assertTrue(output_string == "herecouple words ofthe"			)

						def 						a__ (					self		:			Optional[int]			):
													_UpperCAmelCase  :			Any	       =		SpeechaTextaTokenizer.from_pretrained(self.tmpdirname			)

													with tempfile.TemporaryDirectory() as tmp_dirname:
																				tokenizer.save_pretrained(_lowerCamelCase			)
																				os.remove(os.path.join(_lowerCamelCase	,						"merges.txt"			)			)

																				# load tokenizer without merges file should not throw an error
																				_UpperCAmelCase  :			List[Any]	       =		SpeechaTextaTokenizer.from_pretrained(_lowerCamelCase			)

													with tempfile.TemporaryDirectory() as tmp_dirname:
																				# save tokenizer and load again
																				tokenizer.save_pretrained(_lowerCamelCase			)
																				_UpperCAmelCase  :			Optional[int]	       =		SpeechaTextaTokenizer.from_pretrained(_lowerCamelCase			)

													self.assertIsNotNone(_lowerCamelCase			)






						def 						a__ (					self		:			str			):
													if not self.test_slow_tokenizer:
																				return

													_UpperCAmelCase  :			Union[str, Any]	       =		inspect.signature(self.tokenizer_class.__init__			)
													_UpperCAmelCase  :			List[str]	       =		self.get_tokenizer()

													for parameter_name, parameter in signature.parameters.items():
																				if parameter.default != inspect.Parameter.empty and parameter_name != "merges_file":
																											self.assertIn(_lowerCamelCase	,						tokenizer.init_kwargs			)






import math




def 		lowerCAmelCase_     (     _SCREAMING_SNAKE_CASE  )   ->      list[int]:

							"""simple docstring"""






							if not isinstance(_SCREAMING_SNAKE_CASE      ,	_SCREAMING_SNAKE_CASE  ):
														_UpperCAmelCase  :			Optional[Any]	       =		F"""Input value of [number={number}] must be an integer"""
														raise TypeError(_SCREAMING_SNAKE_CASE  )
							if number < 1:
														_UpperCAmelCase  :			Dict	       =		F"""Input value of [number={number}] must be a positive integer"""
														raise ValueError(_SCREAMING_SNAKE_CASE  )
							_UpperCAmelCase  :			List[Any]	       =		[number]
							while number != 1:
														if number % 2 == 0:
																					_UpperCAmelCase  :			List[str]	       =		math.floor(math.sqrt(_SCREAMING_SNAKE_CASE  )  )
														else:
																					_UpperCAmelCase  :			Dict	       =		math.floor(
																					    math.sqrt(_SCREAMING_SNAKE_CASE  ) * math.sqrt(_SCREAMING_SNAKE_CASE  ) * math.sqrt(_SCREAMING_SNAKE_CASE  )  )
														sequence.append(_SCREAMING_SNAKE_CASE  )
							return sequence


if __name__ == "__main__":
				import doctest

				doctest.testmod()




