'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


_lowerCAmelCase  :List[Any]  				=    {
    """configuration_canine""": ["""CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """CanineConfig"""],
    """tokenization_canine""": ["""CanineTokenizer"""],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _lowerCAmelCase  :int  				=    [
     """CANINE_PRETRAINED_MODEL_ARCHIVE_LIST""",
     """CanineForMultipleChoice""",
     """CanineForQuestionAnswering""",
     """CanineForSequenceClassification""",
     """CanineForTokenClassification""",
     """CanineLayer""",
     """CanineModel""",
     """CaninePreTrainedModel""",
     """load_tf_weights_in_canine""",
 ]


if TYPE_CHECKING:
 from .configuration_canine import CANINE_PRETRAINED_CONFIG_ARCHIVE_MAP, CanineConfig
 from .tokenization_canine import CanineTokenizer

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_canine import (
      CANINE_PRETRAINED_MODEL_ARCHIVE_LIST,
      CanineForMultipleChoice,
      CanineForQuestionAnswering,
      CanineForSequenceClassification,
      CanineForTokenClassification,
      CanineLayer,
      CanineModel,
      CaninePreTrainedModel,
      load_tf_weights_in_canine,
  )


else:
 import sys

 _lowerCAmelCase  :str  				=    _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




'''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 				UpperCAmelCase (       _SCREAMING_SNAKE_CASE   ,    unittest.TestCase ):




    '''simple docstring'''







    snake_case__							:   int							=						CLIPTokenizer
    snake_case__							:   Union[str, Any]							=						CLIPTokenizerFast
    snake_case__							:   str							=						True
    snake_case__							:   Optional[int]							=						{}
    snake_case__							:   int							=						False






    def       _UpperCamelCase    (       self )							-> Tuple:
         super().setUp()

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

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






    def       _UpperCamelCase    (       self    ,							**lowercase__ )							-> Dict:
         kwargs.update(self.special_tokens_map )
         return CLIPTokenizer.from_pretrained(self.tmpdirname    ,							**lowercase__ )






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






    def       _UpperCamelCase    (       self    ,							lowercase__ )							-> List[Any]:
         SCREAMING_SNAKE_CASE					:			Optional[Any]    	=       'lower newer'
         SCREAMING_SNAKE_CASE					:			Dict    	=       'lower newer'
         return input_text, output_text






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

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






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

                   SCREAMING_SNAKE_CASE					:			Tuple    	=       'A\n\'ll 11p223RF☆ho!!to?\'d\'d\'\'d of a cat to-$\'\'d.'
                   SCREAMING_SNAKE_CASE					:			List[str]    	=       tokenizer_s.tokenize(lowercase__ )
                   SCREAMING_SNAKE_CASE					:			List[str]    	=       tokenizer_r.tokenize(lowercase__ )

                   self.assertListEqual(lowercase__    ,							lowercase__ )

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

                   self.assertListEqual(lowercase__    ,							lowercase__ )

                   # Test that the tokenization is identical on unicode of space type
                   SCREAMING_SNAKE_CASE					:			Union[str, Any]    	=       [
                       '\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:
                        SCREAMING_SNAKE_CASE					:			Tuple    	=       tokenizer_s.tokenize(lowercase__ )
                        SCREAMING_SNAKE_CASE					:			Optional[int]    	=       tokenizer_r.tokenize(lowercase__ )

                        self.assertListEqual(lowercase__    ,							lowercase__ )

                   # Test that the tokenization is identical on unicode of line break type
                   SCREAMING_SNAKE_CASE					:			int    	=       [
                       '\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:
                        SCREAMING_SNAKE_CASE					:			List[Any]    	=       tokenizer_s.tokenize(lowercase__ )
                        SCREAMING_SNAKE_CASE					:			int    	=       tokenizer_r.tokenize(lowercase__ )

                        self.assertListEqual(lowercase__    ,							lowercase__ )






    def       _UpperCamelCase    (       self )							-> 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})""" ):
                   SCREAMING_SNAKE_CASE					:			str    	=       'hello'  # `hello` is a token in the vocabulary of `pretrained_name`
                   SCREAMING_SNAKE_CASE					:			Union[str, Any]    	=       F"""{text_of_1_token} {text_of_1_token}"""

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

                   SCREAMING_SNAKE_CASE					:			Optional[int]    	=       F""" {text}"""

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






    def       _UpperCamelCase    (       self )							-> int:
         # 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(lowercase__ ) 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 )							-> Union[str, Any]:
         super().test_tokenization_python_rust_equals()






    def       _UpperCamelCase    (       self )							-> int:
         # CLIP always lower cases letters
         pass



