




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						(SCREAMING_SNAKE_CASE__	,						unittest.TestCase				):




      """simple docstring"""





      _snake_case					=		CLIPTokenizer
      _snake_case					=		CLIPTokenizerFast
      _snake_case					=		True
      _snake_case					=		{}
      _snake_case					=		False

      def       UpperCAmelCase ( self      )						->							Optional[Any]:
         super().setUp()

         # fmt: off
         snake_case :							Any           =			['''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 :							Optional[int]           =			dict(zip(__lowerCamelCase							, range(len(__lowerCamelCase      )      )      )      )
         snake_case :							int           =			['''#version: 0.2''', '''l o''', '''lo w</w>''', '''e r</w>''']
         snake_case :							str           =			{'''unk_token''': '''<unk>'''}

         snake_case :							str           =			os.path.join(self.tmpdirname							, VOCAB_FILES_NAMES["""vocab_file"""]      )
         snake_case :							Dict           =			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(__lowerCamelCase      ) + """\n"""      )
         with open(self.merges_file							, """w"""							, encoding="""utf-8"""      ) as fp:
            fp.write("""\n""".join(__lowerCamelCase      )      )

      def       UpperCAmelCase ( self							, **A      )						->							Optional[Any]:
         kwargs.update(self.special_tokens_map      )
         return CLIPTokenizer.from_pretrained(self.tmpdirname							, **__lowerCamelCase      )

      def       UpperCAmelCase ( self							, **A      )						->							Union[str, Any]:
         kwargs.update(self.special_tokens_map      )
         return CLIPTokenizerFast.from_pretrained(self.tmpdirname							, **__lowerCamelCase      )

      def       UpperCAmelCase ( self							, A      )						->							Tuple:
         snake_case :							int           =			'''lower newer'''
         snake_case :							List[str]           =			'''lower newer'''
         return input_text, output_text

      def       UpperCAmelCase ( self      )						->							Union[str, Any]:
         snake_case :							int           =			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 :							Optional[Any]           =			tokenizer.tokenize(__lowerCamelCase      )
         self.assertListEqual(__lowerCamelCase							, __lowerCamelCase      )

         snake_case :							str           =			tokens + [tokenizer.unk_token]
         snake_case :							int           =			[1_0, 2, 1_6, 9, 3, 2, 1_6, 2_0]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCamelCase      )							, __lowerCamelCase      )

      @require_ftfy
      def       UpperCAmelCase ( self      )						->							str:




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

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

               self.assertListEqual(__lowerCamelCase							, __lowerCamelCase      )

               # 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 :							Dict           =			'''xa\u0303y''' + ''' ''' + '''x\xe3y'''
               snake_case :							List[str]           =			tokenizer_s.tokenize(__lowerCamelCase      )
               snake_case :							int           =			tokenizer_r.tokenize(__lowerCamelCase      )

               self.assertListEqual(__lowerCamelCase							, __lowerCamelCase      )

               # Test that the tokenization is identical on unicode of space type
               snake_case :							Dict           =			[
                   '''\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 :							Optional[Any]           =			tokenizer_s.tokenize(__lowerCamelCase      )
                  snake_case :							str           =			tokenizer_r.tokenize(__lowerCamelCase      )

                  self.assertListEqual(__lowerCamelCase							, __lowerCamelCase      )

               # Test that the tokenization is identical on unicode of line break type
               snake_case :							Tuple           =			[
                   '''\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 :							Optional[Any]           =			tokenizer_s.tokenize(__lowerCamelCase      )
                  snake_case :							Optional[Any]           =			tokenizer_r.tokenize(__lowerCamelCase      )

                  self.assertListEqual(__lowerCamelCase							, __lowerCamelCase      )

      def       UpperCAmelCase ( self      )						->							Tuple:




         for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
            with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""      ):
               snake_case :							Optional[int]           =			'''hello'''  # `hello` is a token in the vocabulary of `pretrained_name`
               snake_case :							Optional[Any]           =			f"""{text_of_1_token} {text_of_1_token}"""

               snake_case :							Any           =			self.rust_tokenizer_class.from_pretrained(
                   __lowerCamelCase							, use_fast=__lowerCamelCase							, )
               snake_case :							Optional[Any]           =			tokenizer_r(__lowerCamelCase							, return_offsets_mapping=__lowerCamelCase							, add_special_tokens=__lowerCamelCase      )
               self.assertEqual(encoding.offset_mapping[0]							, (0, len(__lowerCamelCase      ))      )
               self.assertEqual(
                   encoding.offset_mapping[1]							, (len(__lowerCamelCase      ) + 1, len(__lowerCamelCase      ) + 1 + len(__lowerCamelCase      ))							, )

               snake_case :							str           =			f""" {text}"""

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

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




         with self.assertRaises(__lowerCamelCase      ) 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       UpperCAmelCase ( self      )						->							Optional[int]:
         super().test_tokenization_python_rust_equals()

      def       UpperCAmelCase ( self      )						->							str:
         pass












"""simple docstring"""



def 						__lowercase	(  snake_case_    :    list		)  ->list:



    '''simple docstring'''







    for i in range(len(snake_case_		) - 1							,0							,-1		):
        __A       :		Union[str, Any]							=	False

        for j in range(snake_case_							,0							,-1		):
            if unsorted[j] < unsorted[j - 1]:
                __A					,			__A       :		Union[str, Any]							=	unsorted[j - 1], unsorted[j]
                __A       :		Optional[int]							=	True

        for j in range(snake_case_		):
            if unsorted[j] > unsorted[j + 1]:
                __A					,			__A       :		Optional[Any]							=	unsorted[j + 1], unsorted[j]
                __A       :		Union[str, Any]							=	True

        if not swapped:
            break
    return unsorted


if __name__ == "__main__":
       import doctest

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




