


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_					(					UpperCamelCase		, unittest.TestCase    ):

   '''simple docstring'''




   __A :      Any     		=		CLIPTokenizer
   __A :      Optional[Any]     		=		CLIPTokenizerFast
   __A :      Union[str, Any]     		=		True
   __A :      List[Any]     		=		{}
   __A :      Tuple     		=		False






   def _snake_case    (		self ):






     """simple docstring"""





     super().setUp()

     # fmt: off
     lowerCamelCase :					Dict    =				["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
     lowerCamelCase :					List[str]    =				dict(zip(__A						,				range(len(__A ) ) ) )
     lowerCamelCase :					int    =				["#version: 0.2", "l o", "lo w</w>", "e r</w>"]
     lowerCamelCase :					Tuple    =				{"unk_token": "<unk>"}

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






   def _snake_case    (		self						,				**__A ):






     """simple docstring"""





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






   def _snake_case    (		self						,				**__A ):






     """simple docstring"""





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






   def _snake_case    (		self						,				__A ):






     """simple docstring"""





     lowerCamelCase :					int    =				"lower newer"
     lowerCamelCase :					Dict    =				"lower newer"
     return input_text, output_text






   def _snake_case    (		self ):






     """simple docstring"""





     lowerCamelCase :					Dict    =				CLIPTokenizer(self.vocab_file						,				self.merges_file						,				**self.special_tokens_map )
     lowerCamelCase :					Optional[int]    =				"lower newer"
     lowerCamelCase :					Any    =				["lo", "w", "er</w>", "n", "e", "w", "er</w>"]
     lowerCamelCase :					Optional[Any]    =				tokenizer.tokenize(__A )
     self.assertListEqual(__A						,				__A )

     lowerCamelCase :					List[Any]    =				tokens + [tokenizer.unk_token]
     lowerCamelCase :					Union[str, Any]    =				[10, 2, 16, 9, 3, 2, 16, 20]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(__A )						,				__A )






   @require_ftfy
   def _snake_case    (		self ):






     """simple docstring"""





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

         lowerCamelCase :					Optional[Any]    =				"A\n'll 11p223RF☆ho!!to?'d'd''d of a cat to-$''d."
         lowerCamelCase :					List[Any]    =				tokenizer_s.tokenize(__A )
         lowerCamelCase :					Tuple    =				tokenizer_r.tokenize(__A )

         self.assertListEqual(__A						,				__A )

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

         self.assertListEqual(__A						,				__A )

         # Test that the tokenization is identical on unicode of space type
         lowerCamelCase :					str    =				[
             "\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:
           lowerCamelCase :					int    =				tokenizer_s.tokenize(__A )
           lowerCamelCase :					List[str]    =				tokenizer_r.tokenize(__A )

           self.assertListEqual(__A						,				__A )

         # Test that the tokenization is identical on unicode of line break type
         lowerCamelCase :					Dict    =				[
             "\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:
           lowerCamelCase :					Optional[Any]    =				tokenizer_s.tokenize(__A )
           lowerCamelCase :					str    =				tokenizer_r.tokenize(__A )

           self.assertListEqual(__A						,				__A )






   def _snake_case    (		self ):






     """simple docstring"""





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

         lowerCamelCase :					Tuple    =				self.rust_tokenizer_class.from_pretrained(
             __A						,				use_fast=__A						,				)
         lowerCamelCase :					str    =				tokenizer_r(__A						,				return_offsets_mapping=__A						,				add_special_tokens=__A )
         self.assertEqual(encoding.offset_mapping[0]						,				(0, len(__A )) )
         self.assertEqual(
             encoding.offset_mapping[1]						,				(len(__A ) + 1, len(__A ) + 1 + len(__A ))						,				)

         lowerCamelCase :					Union[str, Any]    =				F""" {text}"""

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






   def _snake_case    (		self ):






     """simple docstring"""





     with self.assertRaises(__A ) 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 _snake_case    (		self ):






     """simple docstring"""





     super().test_tokenization_python_rust_equals()






   def _snake_case    (		self ):






     """simple docstring"""





     pass







def 		lowercase_(  SCREAMING_SNAKE_CASE_	):


  '''simple docstring'''

  if divisor % 5 == 0 or divisor % 2 == 0:
    return 0
  lowerCamelCase :					List[Any]    =				1
  lowerCamelCase :					Union[str, Any]    =				1
  while repunit:
    lowerCamelCase :					Union[str, Any]    =				(10 * repunit + 1) % divisor
    repunit_index += 1
  return repunit_index






def 		lowercase_(  SCREAMING_SNAKE_CASE_ = 1000000	):


  '''simple docstring'''

  lowerCamelCase :					List[str]    =				limit - 1
  if divisor % 2 == 0:
    divisor += 1
  while least_divisible_repunit(SCREAMING_SNAKE_CASE_	) <= limit:
    divisor += 2
  return divisor


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



