





import json
import os
import unittest

from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin



@require_tokenizers
class  __lowerCAmelCase	(      _a,					unittest.TestCase					):
			lowerCamelCase_					:					List[str]	      =				CLIPTokenizer
			lowerCamelCase_					:					Dict	      =				CLIPTokenizerFast
			lowerCamelCase_					:					str	      =				True
			lowerCamelCase_					:					str	      =				{}
			lowerCamelCase_					:					List[Any]	      =				False






			def       lowerCamelCase  (self   )					->       int:


							'''simple docstring'''



							super().setUp()

							# fmt: off
							snake_case_						:   Optional[int]           =  ['''l''', '''o''', '''w''', '''e''', '''r''', '''s''', '''t''', '''i''', '''d''', '''n''', '''lo''', '''l</w>''', '''w</w>''', '''r</w>''', '''t</w>''', '''low</w>''', '''er</w>''', '''lowest</w>''', '''newer</w>''', '''wider''', '''<unk>''', '''<|startoftext|>''', '''<|endoftext|>''']
							# fmt: on
							snake_case_						:   Union[str, Any]           =  dict(zip(__magic_name__ ,							range(len(__magic_name__   )   )   )   )
							snake_case_						:   Optional[int]           =  ['''#version: 0.2''', '''l o''', '''lo w</w>''', '''e r</w>''']
							snake_case_						:   Dict           =  {'''unk_token''': '''<unk>'''}

							snake_case_						:   Tuple           =  os.path.join(self.tmpdirname ,							VOCAB_FILES_NAMES['''vocab_file''']   )
							snake_case_						:   Tuple           =  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(__magic_name__   ) + '''\n'''   )
							with open(self.merges_file ,							'''w''' ,							encoding='''utf-8'''   ) as fp:
											fp.write('''\n'''.join(__magic_name__   )   )






			def       lowerCamelCase  (self ,							**__magic_name__   )					->       Dict:


							'''simple docstring'''



							kwargs.update(self.special_tokens_map   )
							return CLIPTokenizer.from_pretrained(self.tmpdirname ,							**__magic_name__   )






			def       lowerCamelCase  (self ,							**__magic_name__   )					->       Union[str, Any]:


							'''simple docstring'''



							kwargs.update(self.special_tokens_map   )
							return CLIPTokenizerFast.from_pretrained(self.tmpdirname ,							**__magic_name__   )






			def       lowerCamelCase  (self ,							__magic_name__   )					->       Any:


							'''simple docstring'''



							snake_case_						:   Dict           =  '''lower newer'''
							snake_case_						:   str           =  '''lower newer'''
							return input_text, output_text






			def       lowerCamelCase  (self   )					->       Union[str, Any]:


							'''simple docstring'''



							snake_case_						:   List[str]           =  CLIPTokenizer(self.vocab_file ,							self.merges_file ,							**self.special_tokens_map   )
							snake_case_						:   Union[str, Any]           =  '''lower newer'''
							snake_case_						:   List[Any]           =  ['''lo''', '''w''', '''er</w>''', '''n''', '''e''', '''w''', '''er</w>''']
							snake_case_						:   List[str]           =  tokenizer.tokenize(__magic_name__   )
							self.assertListEqual(__magic_name__ ,							__magic_name__   )

							snake_case_						:   int           =  tokens + [tokenizer.unk_token]
							snake_case_						:   Dict           =  [10, 2, 16, 9, 3, 2, 16, 20]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(__magic_name__   ) ,							__magic_name__   )






			@require_ftfy
			def       lowerCamelCase  (self   )					->       Any:


							'''simple docstring'''



							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''   ):
															snake_case_						:   Union[str, Any]           =  self.tokenizer_class.from_pretrained(__magic_name__ ,							**__magic_name__   )
															snake_case_						:   str           =  self.rust_tokenizer_class.from_pretrained(__magic_name__ ,							**__magic_name__   )

															snake_case_						:   Union[str, Any]           =  '''A\n\'ll 11p223RF☆ho!!to?\'d\'d\'\'d of a cat to-$\'\'d.'''
															snake_case_						:   Tuple           =  tokenizer_s.tokenize(__magic_name__   )
															snake_case_						:   List[Any]           =  tokenizer_r.tokenize(__magic_name__   )

															self.assertListEqual(__magic_name__ ,							__magic_name__   )

															# Test that the tokenization is identical on an example containing a character (Latin Small Letter A
															# with Tilde) encoded in 2 different ways
															snake_case_						:   str           =  '''xa\u0303y''' + ''' ''' + '''x\xe3y'''
															snake_case_						:   Optional[int]           =  tokenizer_s.tokenize(__magic_name__   )
															snake_case_						:   str           =  tokenizer_r.tokenize(__magic_name__   )

															self.assertListEqual(__magic_name__ ,							__magic_name__   )

															# Test that the tokenization is identical on unicode of space type
															snake_case_						:   Union[str, Any]           =  [
															    '''\u0009''',  # (horizontal tab, '\t')
															    '''\u000B''',  # (vertical tab)
															    '''\u000C''',  # (form feed)
															    '''\u0020''',  # (space, ' ')
															    '''\u200E''',  # (left-to-right mark):w
															    '''\u200F''',  # (right-to-left mark)
															]
															for unicode_seq in spaces_unicodes:
																			snake_case_						:   Any           =  tokenizer_s.tokenize(__magic_name__   )
																			snake_case_						:   List[str]           =  tokenizer_r.tokenize(__magic_name__   )

																			self.assertListEqual(__magic_name__ ,							__magic_name__   )

															# Test that the tokenization is identical on unicode of line break type
															snake_case_						:   Optional[int]           =  [
															    '''\u000A''',  # (line feed, '\n')
															    '''\r\n''',  # (carriage return and line feed, '\r\n')
															    '''\u000D''',  # (carriage return, '\r')
															    '''\r''',  # (carriage return, '\r')
															    '''\u000D''',  # (carriage return, '\r')
															    '''\u2028''',  # (line separator)
															    '''\u2029''',  # (paragraph separator)
															    # "\u0085", # (next line)
															]

															# The tokenization is not identical for the character "\u0085" (next line). The slow version using ftfy transforms
															# it into the Horizontal Ellipsis character "…" ("\u2026") while the fast version transforms it into a
															# space (and thus into an empty list).

															for unicode_seq in line_break_unicodes:
																			snake_case_						:   int           =  tokenizer_s.tokenize(__magic_name__   )
																			snake_case_						:   Any           =  tokenizer_r.tokenize(__magic_name__   )

																			self.assertListEqual(__magic_name__ ,							__magic_name__   )






			def       lowerCamelCase  (self   )					->       Optional[Any]:


							'''simple docstring'''



							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
											with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''   ):
															snake_case_						:   int           =  '''hello'''  # `hello` is a token in the vocabulary of `pretrained_name`
															snake_case_						:   List[str]           =  F'''{text_of_1_token} {text_of_1_token}'''

															snake_case_						:   int           =  self.rust_tokenizer_class.from_pretrained(
															    __magic_name__ ,							use_fast=__magic_name__ ,							)
															snake_case_						:   Union[str, Any]           =  tokenizer_r(__magic_name__ ,							return_offsets_mapping=__magic_name__ ,							add_special_tokens=__magic_name__   )
															self.assertEqual(encoding.offset_mapping[0] ,							(0, len(__magic_name__   ))   )
															self.assertEqual(
															    encoding.offset_mapping[1] ,							(len(__magic_name__   ) + 1, len(__magic_name__   ) + 1 + len(__magic_name__   )) ,							)

															snake_case_						:   List[str]           =  F''' {text}'''

															snake_case_						:   List[str]           =  self.rust_tokenizer_class.from_pretrained(
															    __magic_name__ ,							use_fast=__magic_name__ ,							)
															snake_case_						:   int           =  tokenizer_r(__magic_name__ ,							return_offsets_mapping=__magic_name__ ,							add_special_tokens=__magic_name__   )
															self.assertEqual(encoding.offset_mapping[0] ,							(1, 1 + len(__magic_name__   ))   )
															self.assertEqual(
															    encoding.offset_mapping[1] ,							(1 + len(__magic_name__   ) + 1, 1 + len(__magic_name__   ) + 1 + len(__magic_name__   )) ,							)






			def       lowerCamelCase  (self   )					->       List[Any]:


							'''simple docstring'''



							with self.assertRaises(__magic_name__   ) as context:
											self.rust_tokenizer_class.from_pretrained('''robot-test/old-clip-tokenizer'''   )

							self.assertTrue(
							    context.exception.args[0].startswith(
							        '''The `backend_tokenizer` provided does not match the expected format.'''   )   )






			@require_ftfy
			def       lowerCamelCase  (self   )					->       int:


							'''simple docstring'''



							super().test_tokenization_python_rust_equals()






			def       lowerCamelCase  (self   )					->       List[Any]:


							'''simple docstring'''



							pass







def 					lowerCamelCase_						(    _UpperCamelCase			)		->						str:






				"""simple docstring"""


				if number > 0:
								raise ValueError('''input must be a negative integer'''			)
				snake_case_						:   List[str]           =  len(bin(_UpperCamelCase			)[3:]			)
				snake_case_						:   str           =  bin(abs(_UpperCamelCase			) - (1 << binary_number_length)			)[3:]
				snake_case_						:   Dict           =  (
				    (
				        '''1'''
				        + '''0''' * (binary_number_length - len(_UpperCamelCase			))
				        + twos_complement_number
				    )
				    if number < 0
				    else '''0'''
				)
				return "0b" + twos_complement_number


if __name__ == "__main__":
	import doctest

	doctest.testmod()
