


"""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 						_A  (  _a   ,unittest.TestCase  ):







    """simple docstring"""




    UpperCAmelCase	:							List[Any]     =	CLIPTokenizer
    UpperCAmelCase	:							Optional[int]     =	CLIPTokenizerFast
    UpperCAmelCase	:							str     =	True
    UpperCAmelCase	:							Tuple     =	{}
    UpperCAmelCase	:							List[str]     =	False






    def      __snake_case							( self    :   Union[str, Any]):
      super().setUp()

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

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






    def      __snake_case							( self    :   Optional[Any]    ,			**__UpperCAmelCase    :   Tuple):
      kwargs.update(self.special_tokens_map)
      return CLIPTokenizer.from_pretrained(self.tmpdirname    ,			**__UpperCAmelCase)






    def      __snake_case							( self    :   int    ,			**__UpperCAmelCase    :   List[Any]):
      kwargs.update(self.special_tokens_map)
      return CLIPTokenizerFast.from_pretrained(self.tmpdirname    ,			**__UpperCAmelCase)






    def      __snake_case							( self    :   Optional[Any]    ,			__UpperCAmelCase    :   Optional[int]):
      a						:		Union[str, Any]											=      "lower newer"
      a						:		int											=      "lower newer"
      return input_text, output_text






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

      a						:		Optional[Any]											=      tokens + [tokenizer.unk_token]
      a						:		Optional[int]											=      [10, 2, 16, 9, 3, 2, 16, 20]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCAmelCase)    ,			__UpperCAmelCase)






    @require_ftfy
    def      __snake_case							( self    :   str):
      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
        with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''):
          a						:		List[str]											=      self.tokenizer_class.from_pretrained(__UpperCAmelCase    ,			**__UpperCAmelCase)
          a						:		List[Any]											=      self.rust_tokenizer_class.from_pretrained(__UpperCAmelCase    ,			**__UpperCAmelCase)

          a						:		Optional[Any]											=      "A\n'll 11p223RF☆ho!!to?'d'd''d of a cat to-$''d."
          a						:		List[str]											=      tokenizer_s.tokenize(__UpperCAmelCase)
          a						:		int											=      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
          a						:		Optional[int]											=      "xa\u0303y" + " " + "x\xe3y"
          a						:		Dict											=      tokenizer_s.tokenize(__UpperCAmelCase)
          a						:		List[str]											=      tokenizer_r.tokenize(__UpperCAmelCase)

          self.assertListEqual(__UpperCAmelCase    ,			__UpperCAmelCase)

          # Test that the tokenization is identical on unicode of space type
          a						:		int											=      [
              "\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						:		int											=      tokenizer_s.tokenize(__UpperCAmelCase)
            a						:		Tuple											=      tokenizer_r.tokenize(__UpperCAmelCase)

            self.assertListEqual(__UpperCAmelCase    ,			__UpperCAmelCase)

          # Test that the tokenization is identical on unicode of line break type
          a						:		List[Any]											=      [
              "\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						:		Any											=      tokenizer_s.tokenize(__UpperCAmelCase)
            a						:		List[Any]											=      tokenizer_r.tokenize(__UpperCAmelCase)

            self.assertListEqual(__UpperCAmelCase    ,			__UpperCAmelCase)






    def      __snake_case							( self    :   List[str]):
      # 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						:		Optional[Any]											=      "hello"  # `hello` is a token in the vocabulary of `pretrained_name`
          a						:		str											=      f'''{text_of_1_token} {text_of_1_token}'''

          a						:		Any											=      self.rust_tokenizer_class.from_pretrained(
              __UpperCAmelCase    ,			use_fast=__UpperCAmelCase    ,			)
          a						:		Dict											=      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))    ,			)

          a						:		Any											=      f''' {text}'''

          a						:		List[str]											=      self.rust_tokenizer_class.from_pretrained(
              __UpperCAmelCase    ,			use_fast=__UpperCAmelCase    ,			)
          a						:		List[Any]											=      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      __snake_case							( self    :   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      __snake_case							( self    :   Tuple):
      super().test_tokenization_python_rust_equals()






    def      __snake_case							( self    :   Dict):
      # CLIP always lower cases letters
      pass










"""simple docstring"""







from __future__ import annotations






class 						_A  :







    """simple docstring"""




    def __init__( self    :   Tuple    ,			__UpperCAmelCase    :   List[Any]=None):
      a						:		int											=      data
      a						:		Dict											=      None






    def __repr__( self    :   Dict):
      a						:		List[Any]											=      []
      a						:		str											=      self
      while temp:
        string_rep.append(f'''{temp.data}''')
        a						:		Tuple											=      temp.next
      return "->".join(__UpperCAmelCase)






def 					lowercase      (    A_	)->				Any:
  '''simple docstring'''







  if not elements_list:
    raise Exception("The Elements List is empty"	)

  a						:		Any											=      Node(elements_list[0]	)
  for i in range(1  ,       len(A_	)	):
    a						:		int											=      Node(elements_list[i]	)
    a						:		Optional[Any]											=      current.next
  return head


def 					lowercase      (    A_	)->				None:
  '''simple docstring'''







  if head_node is not None and isinstance(A_  ,       A_	):
    print_reverse(head_node.next	)
    print(head_node.data	)


def 					lowercase      (    )->				List[Any]:
  '''simple docstring'''







  from doctest import testmod

  testmod()

  a						:		Union[str, Any]											=      make_linked_list([14, 52, 14, 12, 43]	)
  print("Linked List:"	)
  print(A_	)
  print("Elements in Reverse:"	)
  print_reverse(A_	)


if __name__ == "__main__":
 main()






