


'''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__       (						UpperCAmelCase__ ,     unittest.TestCase      ):
      __UpperCamelCase       :  int	       =							CLIPTokenizer
      __UpperCamelCase       :  Dict	       =							CLIPTokenizerFast
      __UpperCamelCase       :  List[str]	       =							True
      __UpperCamelCase       :  Optional[Any]	       =							{}
      __UpperCamelCase       :  str	       =							False






      def __UpperCAmelCase       ( self			:Union[str, Any]	)       ->					str:




             '''simple docstring'''
             super().setUp()

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

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






      def __UpperCAmelCase       ( self			:List[Any]     ,						**SCREAMING_SNAKE_CASE			:Optional[int]	)       ->					Dict:




             '''simple docstring'''
             kwargs.update(self.special_tokens_map	)
             return CLIPTokenizer.from_pretrained(self.tmpdirname     ,						**SCREAMING_SNAKE_CASE	)






      def __UpperCAmelCase       ( self			:Any     ,						**SCREAMING_SNAKE_CASE			:Optional[Any]	)       ->					Optional[int]:




             '''simple docstring'''
             kwargs.update(self.special_tokens_map	)
             return CLIPTokenizerFast.from_pretrained(self.tmpdirname     ,						**SCREAMING_SNAKE_CASE	)






      def __UpperCAmelCase       ( self			:Optional[Any]     ,						SCREAMING_SNAKE_CASE			:str	)       ->					int:




             '''simple docstring'''
             _a    : int     					="""lower newer"""
             _a    : List[str]     					="""lower newer"""
             return input_text, output_text






      def __UpperCAmelCase       ( self			:str	)       ->					List[str]:




             '''simple docstring'''
             _a    : Any     					=CLIPTokenizer(self.vocab_file     ,						self.merges_file     ,						**self.special_tokens_map	)
             _a    : Dict     					="""lower newer"""
             _a    : str     					=["""lo""", """w""", """er</w>""", """n""", """e""", """w""", """er</w>"""]
             _a    : int     					=tokenizer.tokenize(SCREAMING_SNAKE_CASE	)
             self.assertListEqual(SCREAMING_SNAKE_CASE     ,						SCREAMING_SNAKE_CASE	)

             _a    : List[str]     					=tokens + [tokenizer.unk_token]
             _a    : Optional[Any]     					=[1_0, 2, 1_6, 9, 3, 2, 1_6, 2_0]
             self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE	)     ,						SCREAMING_SNAKE_CASE	)






      @require_ftfy
      def __UpperCAmelCase       ( self			:Optional[int]	)       ->					Optional[Any]:




             '''simple docstring'''
             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(SCREAMING_SNAKE_CASE     ,						**SCREAMING_SNAKE_CASE	)
                           _a    : Tuple     					=self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE     ,						**SCREAMING_SNAKE_CASE	)

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

                           self.assertListEqual(SCREAMING_SNAKE_CASE     ,						SCREAMING_SNAKE_CASE	)

                           # Test that the tokenization is identical on an example containing a character (Latin Small Letter A
                           # with Tilde) encoded in 2 different ways
                           _a    : int     					="""xa\u0303y""" + """ """ + """x\xe3y"""
                           _a    : Tuple     					=tokenizer_s.tokenize(SCREAMING_SNAKE_CASE	)
                           _a    : str     					=tokenizer_r.tokenize(SCREAMING_SNAKE_CASE	)

                           self.assertListEqual(SCREAMING_SNAKE_CASE     ,						SCREAMING_SNAKE_CASE	)

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

                                  self.assertListEqual(SCREAMING_SNAKE_CASE     ,						SCREAMING_SNAKE_CASE	)

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

                                  self.assertListEqual(SCREAMING_SNAKE_CASE     ,						SCREAMING_SNAKE_CASE	)






      def __UpperCAmelCase       ( self			:List[str]	)       ->					Any:




             '''simple docstring'''
             # 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    : int     					="""hello"""  # `hello` is a token in the vocabulary of `pretrained_name`
                           _a    : Any     					=f"{text_of_1_token} {text_of_1_token}"

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

                           _a    : Union[str, Any]     					=f" {text}"

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






      def __UpperCAmelCase       ( self			:List[str]	)       ->					str:




             '''simple docstring'''
             # 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(SCREAMING_SNAKE_CASE	) 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			:int	)       ->					Dict:




             '''simple docstring'''
             super().test_tokenization_python_rust_equals()






      def __UpperCAmelCase       ( self			:Optional[int]	)       ->					Optional[int]:




             '''simple docstring'''
             # CLIP always lower cases letters
             pass






'''simple docstring'''







class A__       :






      def __init__( self			:List[Any]	)       ->					None:




             '''simple docstring'''
             _a    : dict[str, TrieNode]     					={}  # Mapping from char to TrieNode
             _a    : List[str]     					=False






      def __UpperCAmelCase       ( self			:Tuple     ,						SCREAMING_SNAKE_CASE			:list[str]	)       ->					None:




             '''simple docstring'''
             for word in words:
                    self.insert(SCREAMING_SNAKE_CASE	)






      def __UpperCAmelCase       ( self			:Union[str, Any]     ,						SCREAMING_SNAKE_CASE			:str	)       ->					None:




             '''simple docstring'''
             _a    : str     					=self
             for char in word:
                    if char not in curr.nodes:
                           _a    : Dict     					=TrieNode()
                    _a    : List[Any]     					=curr.nodes[char]
             _a    : int     					=True






      def __UpperCAmelCase       ( self			:Union[str, Any]     ,						SCREAMING_SNAKE_CASE			:str	)       ->					bool:




             '''simple docstring'''
             _a    : int     					=self
             for char in word:
                    if char not in curr.nodes:
                           return False
                    _a    : List[Any]     					=curr.nodes[char]
             return curr.is_leaf






      def __UpperCAmelCase       ( self			:Dict     ,						SCREAMING_SNAKE_CASE			:str	)       ->					None:




             '''simple docstring'''

             def _delete(SCREAMING_SNAKE_CASE			:TrieNode     ,						SCREAMING_SNAKE_CASE			:str     ,						SCREAMING_SNAKE_CASE			:int	) -> bool:
                    if index == len(SCREAMING_SNAKE_CASE	):
                           # If word does not exist
                           if not curr.is_leaf:
                                  return False
                           _a    : Any     					=False
                           return len(curr.nodes	) == 0
                    _a    : int     					=word[index]
                    _a    : int     					=curr.nodes.get(SCREAMING_SNAKE_CASE	)
                    # If char not in current trie node
                    if not char_node:
                           return False
                    # Flag to check if node can be deleted
                    _a    : List[Any]     					=_delete(SCREAMING_SNAKE_CASE     ,						SCREAMING_SNAKE_CASE     ,						index + 1	)
                    if delete_curr:
                           del curr.nodes[char]
                           return len(curr.nodes	) == 0
                    return delete_curr

             _delete(self     ,						SCREAMING_SNAKE_CASE     ,						0	)


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	TrieNode    ,_UpperCAmelCase	:	str  )  ->			None:
       if node.is_leaf:
              print(_UpperCAmelCase    ,end=""" """  )

       for key, value in node.nodes.items():
              print_words(_UpperCAmelCase    ,word + key  )


def 	SCREAMING_SNAKE_CASE_					(  )  ->			bool:
       _a    : List[str]     					="""banana bananas bandana band apple all beast""".split()
       _a    : List[Any]     					=TrieNode()
       root.insert_many(_UpperCAmelCase  )
       # print_words(root, "")
       assert all(root.find(_UpperCAmelCase  ) for word in words  )
       assert root.find("""banana"""  )
       assert not root.find("""bandanas"""  )
       assert not root.find("""apps"""  )
       assert root.find("""apple"""  )
       assert root.find("""all"""  )
       root.delete("""all"""  )
       assert not root.find("""all"""  )
       root.delete("""banana"""  )
       assert not root.find("""banana"""  )
       assert root.find("""bananas"""  )
       return True


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	str    ,_UpperCAmelCase	:	bool  )  ->			None:
       print(str(_UpperCAmelCase  )    ,"""works!""" if passes else """doesn't work :("""  )


def 	SCREAMING_SNAKE_CASE_					(  )  ->			None:
       assert test_trie()


def 	SCREAMING_SNAKE_CASE_					(  )  ->			None:
       print_results("""Testing trie functionality"""    ,test_trie()  )


if __name__ == "__main__":
   main()


