

'''simple docstring'''






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 			lowercase_	(_snake_case				,       unittest.TestCase      ):




  """simple docstring"""




  SCREAMING_SNAKE_CASE    :  int							=			CLIPTokenizer
  SCREAMING_SNAKE_CASE    :  Tuple							=			CLIPTokenizerFast
  SCREAMING_SNAKE_CASE    :  List[Any]							=			True
  SCREAMING_SNAKE_CASE    :  Dict							=			{}
  SCREAMING_SNAKE_CASE    :  Optional[int]							=			False






  def 					SCREAMING_SNAKE_CASE      (      self   :     Dict			):
   super().setUp()

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

   __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'''					,encoding='''utf-8'''			) as fp:
    fp.write(json.dumps(_UpperCamelCase			) + '''\n'''			)
   with open(self.merges_file					,'''w'''					,encoding='''utf-8'''			) as fp:
    fp.write('''\n'''.join(_UpperCamelCase			)			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     Union[str, Any]					,**lowercase__   :     Union[str, Any]			):
   kwargs.update(self.special_tokens_map			)
   return CLIPTokenizer.from_pretrained(self.tmpdirname					,**_UpperCamelCase			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     Optional[Any]					,**lowercase__   :     int			):
   kwargs.update(self.special_tokens_map			)
   return CLIPTokenizerFast.from_pretrained(self.tmpdirname					,**_UpperCamelCase			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     Any					,lowercase__   :     List[str]			):
   __lowercase							  = 'lower newer'
   __lowercase							  = 'lower newer'
   return input_text, output_text






  def 					SCREAMING_SNAKE_CASE      (      self   :     Any			):
   __lowercase							  = CLIPTokenizer(self.vocab_file					,self.merges_file					,**self.special_tokens_map			)
   __lowercase							  = 'lower newer'
   __lowercase							  = ['lo', 'w', 'er</w>', 'n', 'e', 'w', 'er</w>']
   __lowercase							  = tokenizer.tokenize(_UpperCamelCase			)
   self.assertListEqual(_UpperCamelCase					,_UpperCamelCase			)

   __lowercase							  = tokens + [tokenizer.unk_token]
   __lowercase							  = [1_0, 2, 1_6, 9, 3, 2, 1_6, 2_0]
   self.assertListEqual(tokenizer.convert_tokens_to_ids(_UpperCamelCase			)					,_UpperCamelCase			)






  @require_ftfy
  def 					SCREAMING_SNAKE_CASE      (      self   :     List[Any]			):
   for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
    with self.subTest(F"{tokenizer.__class__.__name__} ({pretrained_name})"			):
     __lowercase							  = self.tokenizer_class.from_pretrained(_UpperCamelCase					,**_UpperCamelCase			)
     __lowercase							  = self.rust_tokenizer_class.from_pretrained(_UpperCamelCase					,**_UpperCamelCase			)

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

     self.assertListEqual(_UpperCamelCase					,_UpperCamelCase			)

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

     self.assertListEqual(_UpperCamelCase					,_UpperCamelCase			)

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

      self.assertListEqual(_UpperCamelCase					,_UpperCamelCase			)

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

      self.assertListEqual(_UpperCamelCase					,_UpperCamelCase			)






  def 					SCREAMING_SNAKE_CASE      (      self   :     Optional[int]			):
   # 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})"			):
     __lowercase							  = 'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
     __lowercase							  = F"{text_of_1_token} {text_of_1_token}"

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

     __lowercase							  = F" {text}"

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






  def 					SCREAMING_SNAKE_CASE      (      self   :     List[Any]			):
   # 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(_UpperCamelCase			) 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 					SCREAMING_SNAKE_CASE      (      self   :     Tuple			):
   super().test_tokenization_python_rust_equals()






  def 					SCREAMING_SNAKE_CASE      (      self   :     str			):
   # CLIP always lower cases letters
   pass









def      lowercase__      (     __snake_case    :							list  ):


					'''simple docstring'''


					for i in range(len(__snake_case  ) - 1     ,       0     ,       -1  ):
										UpperCAmelCase_    :      Dict            =						False

										for j in range(__snake_case     ,       0     ,       -1  ):
															if unsorted[j] < unsorted[j - 1]:
																				UpperCAmelCase_       ,  UpperCAmelCase_    :      Any            =						unsorted[j - 1], unsorted[j]
																				UpperCAmelCase_    :      int            =						True

										for j in range(__snake_case  ):
															if unsorted[j] > unsorted[j + 1]:
																				UpperCAmelCase_       ,  UpperCAmelCase_    :      Optional[int]            =						unsorted[j + 1], unsorted[j]
																				UpperCAmelCase_    :      Any            =						True

										if not swapped:
															break
					return unsorted


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		__UpperCAmelCase								=						input('Enter numbers separated by a comma:\n').strip()
		__UpperCAmelCase								=						[int(item) for item in user_input.split(',')]
		print(F'{cocktail_shaker_sort(unsorted) = }')






