
import json
import os
import unittest

from transformers import OpenAIGPTTokenizer, OpenAIGPTTokenizerFast
from transformers.models.openai.tokenization_openai import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_spacy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class    a_ (			_a					,			unittest.TestCase    ):
			a	:			List[str]					   =							OpenAIGPTTokenizer
			a	:			Union[str, Any]					   =							OpenAIGPTTokenizerFast
			a	:			Optional[int]					   =							True
			a	:			Dict					   =							False






			def    UpperCamelCase_				(      self  ):
									super().setUp()

									# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
									_lowercase					       =					[
									    """l""",
									    """o""",
									    """w""",
									    """e""",
									    """r""",
									    """s""",
									    """t""",
									    """i""",
									    """d""",
									    """n""",
									    """w</w>""",
									    """r</w>""",
									    """t</w>""",
									    """lo""",
									    """low""",
									    """er</w>""",
									    """low</w>""",
									    """lowest</w>""",
									    """newer</w>""",
									    """wider</w>""",
									    """<unk>""",
									]
									_lowercase					       =					dict(zip(__UpperCamelCase				,			range(len(__UpperCamelCase  )  )  )  )
									_lowercase					       =					["""#version: 0.2""", """l o""", """lo w""", """e r</w>""", """"""]

									_lowercase					       =					os.path.join(self.tmpdirname				,			VOCAB_FILES_NAMES["""vocab_file"""]  )
									_lowercase					       =					os.path.join(self.tmpdirname				,			VOCAB_FILES_NAMES["""merges_file"""]  )
									with open(self.vocab_file				,			"""w"""  ) as fp:
															fp.write(json.dumps(__UpperCamelCase  )  )
									with open(self.merges_file				,			"""w"""  ) as fp:
															fp.write("""\n""".join(__UpperCamelCase  )  )






			def    UpperCamelCase_				(      self				,			__UpperCamelCase  ):
									return "lower newer", "lower newer"






			def    UpperCamelCase_				(      self  ):
									_lowercase					       =					OpenAIGPTTokenizer(self.vocab_file				,			self.merges_file  )

									_lowercase					       =					"""lower"""
									_lowercase					       =					["""low""", """er</w>"""]
									_lowercase					       =					tokenizer.tokenize(__UpperCamelCase  )
									self.assertListEqual(__UpperCamelCase				,			__UpperCamelCase  )

									_lowercase					       =					tokens + ["""<unk>"""]
									_lowercase					       =					[14, 15, 20]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCamelCase  )				,			__UpperCamelCase  )






			def    UpperCamelCase_				(      self				,			__UpperCamelCase=15  ):
									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
															with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""  ):
																					_lowercase					       =					self.rust_tokenizer_class.from_pretrained(__UpperCamelCase				,			**__UpperCamelCase  )

																					# Simple input
																					_lowercase					       =					"""This is a simple input"""
																					_lowercase					       =					["""This is a simple input 1""", """This is a simple input 2"""]
																					_lowercase					       =					("""This is a simple input""", """This is a pair""")
																					_lowercase					       =					[
																					    ("""This is a simple input 1""", """This is a simple input 2"""),
																					    ("""This is a simple pair 1""", """This is a simple pair 2"""),
																					]

																					# Simple input tests
																					self.assertRaises(__UpperCamelCase				,			tokenizer_r.encode				,			__UpperCamelCase				,			max_length=__UpperCamelCase				,			padding="""max_length"""  )

																					# Simple input
																					self.assertRaises(__UpperCamelCase				,			tokenizer_r.encode_plus				,			__UpperCamelCase				,			max_length=__UpperCamelCase				,			padding="""max_length"""  )

																					# Simple input
																					self.assertRaises(
																					    __UpperCamelCase				,			tokenizer_r.batch_encode_plus				,			__UpperCamelCase				,			max_length=__UpperCamelCase				,			padding="""max_length"""				,			)

																					# Pair input
																					self.assertRaises(__UpperCamelCase				,			tokenizer_r.encode				,			__UpperCamelCase				,			max_length=__UpperCamelCase				,			padding="""max_length"""  )

																					# Pair input
																					self.assertRaises(__UpperCamelCase				,			tokenizer_r.encode_plus				,			__UpperCamelCase				,			max_length=__UpperCamelCase				,			padding="""max_length"""  )

																					# Pair input
																					self.assertRaises(
																					    __UpperCamelCase				,			tokenizer_r.batch_encode_plus				,			__UpperCamelCase				,			max_length=__UpperCamelCase				,			padding="""max_length"""				,			)






			def    UpperCamelCase_				(      self  ):
									pass







@require_ftfy
@require_spacy
@require_tokenizers
class    a_ (			_a    ):
			pass

def 	UpperCamelCase__  (     SCREAMING_SNAKE_CASE_	:	int       )  ->     list:

						# bit count represents no. of bits in the gray code
						if bit_count < 0:
												raise ValueError("""The given input must be positive"""       )

						# get the generated string sequence
						_lowercase					       =					gray_code_sequence_string(SCREAMING_SNAKE_CASE_       )
						#
						# convert them to integers
						for i in range(len(SCREAMING_SNAKE_CASE_       )       ):
												_lowercase					       =					int(sequence[i]		,   2       )

						return sequence




def 	UpperCamelCase__  (     SCREAMING_SNAKE_CASE_	:	int       )  ->     list:

						# The approach is a recursive one
						# Base case achieved when either n = 0 or n=1
						if bit_count == 0:
												return ["0"]

						if bit_count == 1:
												return ["0", "1"]

						_lowercase					       =					1 << bit_count  # defines the length of the sequence
						# 1<< n is equivalent to 2^n

						# recursive answer will generate answer for n-1 bits
						_lowercase					       =					gray_code_sequence_string(bit_count - 1       )

						_lowercase					       =					[]

						# append 0 to first half of the smaller sequence generated
						for i in range(seq_len // 2       ):
												_lowercase					       =					"""0""" + smaller_sequence[i]
												sequence.append(SCREAMING_SNAKE_CASE_       )

						# append 1 to second half ... start from the end of the list
						for i in reversed(range(seq_len // 2       )       ):
												_lowercase					       =					"""1""" + smaller_sequence[i]
												sequence.append(SCREAMING_SNAKE_CASE_       )

						return sequence


if __name__ == "__main__":
		import doctest

		doctest.testmod()