






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      UpperCamelCase (				snake_case__			,       unittest.TestCase ):







		"""simple docstring"""



		snake_case    =   CLIPTokenizer
		snake_case    =   CLIPTokenizerFast
		snake_case    =   True
		snake_case    =   {}
		snake_case    =   False
		def       A(  self		:       Union[str, Any]		)    ->   List[str]:


						'''simple docstring'''
						super().setUp()

						# fmt: off
						A	 =      ['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
						A	 =      dict(zip(_SCREAMING_SNAKE_CASE						,range(len(_SCREAMING_SNAKE_CASE		)		)		)		)
						A	 =      ['#version: 0.2', 'l o', 'lo w</w>', 'e r</w>']
						A	 =      {'unk_token': '<unk>'}

						A	 =      os.path.join(self.tmpdirname						,VOCAB_FILES_NAMES['vocab_file']		)
						A	 =      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(_SCREAMING_SNAKE_CASE		) + '\n'		)
						with open(self.merges_file						,'w'						,encoding='utf-8'		) as fp:
										fp.write('\n'.join(_SCREAMING_SNAKE_CASE		)		)
		def       A(  self		:       Optional[int]						,**_SCREAMING_SNAKE_CASE		:       Optional[int]		)    ->   Union[str, Any]:


						'''simple docstring'''
						kwargs.update(self.special_tokens_map		)
						return CLIPTokenizer.from_pretrained(self.tmpdirname						,**_SCREAMING_SNAKE_CASE		)
		def       A(  self		:       Union[str, Any]						,**_SCREAMING_SNAKE_CASE		:       str		)    ->   Tuple:


						'''simple docstring'''
						kwargs.update(self.special_tokens_map		)
						return CLIPTokenizerFast.from_pretrained(self.tmpdirname						,**_SCREAMING_SNAKE_CASE		)
		def       A(  self		:       Any						,_SCREAMING_SNAKE_CASE		:       Optional[int]		)    ->   Tuple:


						'''simple docstring'''
						A	 =      'lower newer'
						A	 =      'lower newer'
						return input_text, output_text
		def       A(  self		:       List[str]		)    ->   Union[str, Any]:


						'''simple docstring'''
						A	 =      CLIPTokenizer(self.vocab_file						,self.merges_file						,**self.special_tokens_map		)
						A	 =      'lower newer'
						A	 =      ['lo', 'w', 'er</w>', 'n', 'e', 'w', 'er</w>']
						A	 =      tokenizer.tokenize(_SCREAMING_SNAKE_CASE		)
						self.assertListEqual(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		)

						A	 =      tokens + [tokenizer.unk_token]
						A	 =      [1_0, 2, 1_6, 9, 3, 2, 1_6, 2_0]
						self.assertListEqual(tokenizer.convert_tokens_to_ids(_SCREAMING_SNAKE_CASE		)						,_SCREAMING_SNAKE_CASE		)
		@require_ftfy
		def       A(  self		:       Union[str, Any]		)    ->   List[Any]:


						'''simple docstring'''
						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
										with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'		):
														A	 =      self.tokenizer_class.from_pretrained(_SCREAMING_SNAKE_CASE						,**_SCREAMING_SNAKE_CASE		)
														A	 =      self.rust_tokenizer_class.from_pretrained(_SCREAMING_SNAKE_CASE						,**_SCREAMING_SNAKE_CASE		)

														A	 =      'A\n\'ll 11p223RF☆ho!!to?\'d\'d\'\'d of a cat to-$\'\'d.'
														A	 =      tokenizer_s.tokenize(_SCREAMING_SNAKE_CASE		)
														A	 =      tokenizer_r.tokenize(_SCREAMING_SNAKE_CASE		)

														self.assertListEqual(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		)

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

														self.assertListEqual(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		)

														# Test that the tokenization is identical on unicode of space type
														A	 =      [
														    '\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:
																		A	 =      tokenizer_s.tokenize(_SCREAMING_SNAKE_CASE		)
																		A	 =      tokenizer_r.tokenize(_SCREAMING_SNAKE_CASE		)

																		self.assertListEqual(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		)

														# Test that the tokenization is identical on unicode of line break type
														A	 =      [
														    '\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:
																		A	 =      tokenizer_s.tokenize(_SCREAMING_SNAKE_CASE		)
																		A	 =      tokenizer_r.tokenize(_SCREAMING_SNAKE_CASE		)

																		self.assertListEqual(_SCREAMING_SNAKE_CASE						,_SCREAMING_SNAKE_CASE		)
		def       A(  self		:       List[str]		)    ->   int:


						'''simple docstring'''
						# Test which aims to verify that the offsets are well adapted to the argument `add_prefix_space`
						for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
										with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'		):
														A	 =      'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
														A	 =      f'{text_of_1_token} {text_of_1_token}'

														A	 =      self.rust_tokenizer_class.from_pretrained(
														    _SCREAMING_SNAKE_CASE						,use_fast=_SCREAMING_SNAKE_CASE						,)
														A	 =      tokenizer_r(_SCREAMING_SNAKE_CASE						,return_offsets_mapping=_SCREAMING_SNAKE_CASE						,add_special_tokens=_SCREAMING_SNAKE_CASE		)
														self.assertEqual(encoding.offset_mapping[0]						,(0, len(_SCREAMING_SNAKE_CASE		))		)
														self.assertEqual(
														    encoding.offset_mapping[1]						,(len(_SCREAMING_SNAKE_CASE		) + 1, len(_SCREAMING_SNAKE_CASE		) + 1 + len(_SCREAMING_SNAKE_CASE		))						,)

														A	 =      f' {text}'

														A	 =      self.rust_tokenizer_class.from_pretrained(
														    _SCREAMING_SNAKE_CASE						,use_fast=_SCREAMING_SNAKE_CASE						,)
														A	 =      tokenizer_r(_SCREAMING_SNAKE_CASE						,return_offsets_mapping=_SCREAMING_SNAKE_CASE						,add_special_tokens=_SCREAMING_SNAKE_CASE		)
														self.assertEqual(encoding.offset_mapping[0]						,(1, 1 + len(_SCREAMING_SNAKE_CASE		))		)
														self.assertEqual(
														    encoding.offset_mapping[1]						,(1 + len(_SCREAMING_SNAKE_CASE		) + 1, 1 + len(_SCREAMING_SNAKE_CASE		) + 1 + len(_SCREAMING_SNAKE_CASE		))						,)
		def       A(  self		:       Any		)    ->   Optional[Any]:


						'''simple docstring'''
						# Test related to the breaking change introduced in transformers v4.17.0
						# We need to check that an error in raised when the user try to load a previous version of the tokenizer.
						with self.assertRaises(_SCREAMING_SNAKE_CASE		) 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       A(  self		:       Optional[int]		)    ->   Union[str, Any]:


						'''simple docstring'''
						super().test_tokenization_python_rust_equals()







		def       A(  self		:       Any		)    ->   Any:


						'''simple docstring'''
						# CLIP always lower cases letters
						pass













def      snake_case		(							UpperCAmelCase	:       int   ):
				A	 =      0
				while num > 0:
								digit_sum += num % 10
								num //= 10
				return digit_sum







def      snake_case		(							UpperCAmelCase	:       int = 1_00   ):
				A	 =      1
				A	 =      2

				for i in range(2,						max_n + 1   ):
								A	 =      pre_numerator
								A	 =      2 * i // 3 if i % 3 == 0 else 1
								A	 =      cur_numerator
								A	 =      e_cont * pre_numerator + temp

				return sum_digits(UpperCAmelCase   )


if __name__ == "__main__":
					print(f'''{solution() = }''')





