
'''simple docstring'''







import os
import unittest

from transformers.models.bertweet.tokenization_bertweet import VOCAB_FILES_NAMES, BertweetTokenizer

from ...test_tokenization_common import TokenizerTesterMixin
class  SCREAMING_SNAKE_CASE__       (  __UpperCamelCase			,					unittest.TestCase   ):
	lowercase__	    =							BertweetTokenizer
	lowercase__	    =							False
	def __lowerCamelCase    (				self			):



					'''simple docstring'''






					super().setUp()

					# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
					__a       :     Tuple								=	["""I""", """m""", """V@@""", """R@@""", """r""", """e@@"""]
					__a       :     Tuple								=	dict(zip(__UpperCamelCase  ,    range(len(__UpperCamelCase			)			)			)			)
					__a       :     Union[str, Any]								=	["""#version: 0.2""", """a m</w>"""]
					__a       :     Union[str, Any]								=	{"""unk_token""": """<unk>"""}

					__a       :     Tuple								=	os.path.join(self.tmpdirname  ,    VOCAB_FILES_NAMES["""vocab_file"""]			)
					__a       :     Any								=	os.path.join(self.tmpdirname  ,    VOCAB_FILES_NAMES["""merges_file"""]			)
					with open(self.vocab_file  ,    """w"""  ,    encoding="""utf-8"""			) as fp:
									for token in vocab_tokens:
													fp.write(f"""{token} {vocab_tokens[token]}\n"""			)
					with open(self.merges_file  ,    """w"""  ,    encoding="""utf-8"""			) as fp:
									fp.write("""\n""".join(__UpperCamelCase			)			)
	def __lowerCamelCase    (				self  ,    **__UpperCamelCase			):



					'''simple docstring'''






					kwargs.update(self.special_tokens_map			)
					return BertweetTokenizer.from_pretrained(self.tmpdirname  ,    **__UpperCamelCase			)
	def __lowerCamelCase    (				self  ,    __UpperCamelCase			):



					'''simple docstring'''






					__a       :     Tuple								=	"""I am VinAI Research"""
					__a       :     Tuple								=	"""I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"""
					return input_text, output_text

	def __lowerCamelCase    (				self			):



					'''simple docstring'''






					__a       :     Optional[Any]								=	BertweetTokenizer(self.vocab_file  ,    self.merges_file  ,    **self.special_tokens_map			)
					__a       :     List[Any]								=	"""I am VinAI Research"""
					__a       :     str								=	"""I a@@ m V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h""".split()
					__a       :     int								=	tokenizer.tokenize(__UpperCamelCase			)
					self.assertListEqual(__UpperCamelCase  ,    __UpperCamelCase			)

					__a       :     Optional[int]								=	tokens + [tokenizer.unk_token]

					__a       :     Dict								=	[4, 3, 5, 6, 3, 3, 3, 4, 7, 9, 3, 9, 3, 3, 3, 3, 3]
					self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCamelCase			)  ,    __UpperCamelCase			)

'''simple docstring'''







def 				_snake_case (		lowercase						)       ->       Tuple:
				__a       :     Union[str, Any]								=	[7_0_1, 3_0_1, 1_3_2, 5_7, 2_3, 1_0, 4, 1]
				for gap in gaps:
								for i in range(lowercase			,    len(lowercase						)						):
												__a       :     Tuple								=	collection[i]
												__a       :     Optional[int]								=	i
												while j >= gap and collection[j - gap] > insert_value:
																__a       :     Tuple								=	collection[j - gap]
																j -= gap
												if j != i:
																__a       :     Dict								=	insert_value
				return collection


if __name__ == "__main__":
					from doctest import testmod

					testmod()
					__SCREAMING_SNAKE_CASE		:  Any        =      input('Enter numbers separated by a comma:\n').strip()
					__SCREAMING_SNAKE_CASE		:  Optional[int]        =      [int(item) for item in user_input.split(',')]
					print(shell_sort(unsorted))