




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     ):



 '''simple docstring'''


 UpperCamelCase		     =		CLIPTokenizer
 UpperCamelCase		     =		CLIPTokenizerFast
 UpperCamelCase		     =		True
 UpperCamelCase		     =		{}
 UpperCamelCase		     =		False

 def        a__				(       self      :						Tuple						)     ->			Tuple:

       """simple docstring"""






       super().setUp()

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

       lowerCamelCase_	  =					os.path.join(self.tmpdirname		,							VOCAB_FILES_NAMES['vocab_file']						)
       lowerCamelCase_	  =					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        a__				(       self      :						str		,							**A_      :						Tuple						)     ->			int:

       """simple docstring"""






       kwargs.update(self.special_tokens_map						)
       return CLIPTokenizer.from_pretrained(self.tmpdirname		,							**lowercase__						)

 def        a__				(       self      :						str		,							**A_      :						Any						)     ->			Any:

       """simple docstring"""






       kwargs.update(self.special_tokens_map						)
       return CLIPTokenizerFast.from_pretrained(self.tmpdirname		,							**lowercase__						)

 def        a__				(       self      :						List[str]		,							A_      :						Tuple						)     ->			int:

       """simple docstring"""






       lowerCamelCase_	  =					"""lower newer"""
       lowerCamelCase_	  =					"""lower newer"""
       return input_text, output_text

 def        a__				(       self      :						Tuple						)     ->			Any:

       """simple docstring"""






       lowerCamelCase_	  =					CLIPTokenizer(self.vocab_file		,							self.merges_file		,							**self.special_tokens_map						)
       lowerCamelCase_	  =					"""lower newer"""
       lowerCamelCase_	  =					["""lo""", """w""", """er</w>""", """n""", """e""", """w""", """er</w>"""]
       lowerCamelCase_	  =					tokenizer.tokenize(lowercase__						)
       self.assertListEqual(lowercase__		,							lowercase__						)

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

 @require_ftfy
 def        a__				(       self      :						Union[str, Any]						)     ->			str:

       """simple docstring"""






       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""						):
                   lowerCamelCase_	  =					self.tokenizer_class.from_pretrained(lowercase__		,							**lowercase__						)
                   lowerCamelCase_	  =					self.rust_tokenizer_class.from_pretrained(lowercase__		,							**lowercase__						)

                   lowerCamelCase_	  =					"""A\n'll 11p223RF☆ho!!to?'d'd''d of a cat to-$''d."""
                   lowerCamelCase_	  =					tokenizer_s.tokenize(lowercase__						)
                   lowerCamelCase_	  =					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
                   lowerCamelCase_	  =					"""xa\u0303y""" + """ """ + """x\xe3y"""
                   lowerCamelCase_	  =					tokenizer_s.tokenize(lowercase__						)
                   lowerCamelCase_	  =					tokenizer_r.tokenize(lowercase__						)

                   self.assertListEqual(lowercase__		,							lowercase__						)

                   # Test that the tokenization is identical on unicode of space type
                   lowerCamelCase_	  =					[
                       """\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:
                         lowerCamelCase_	  =					tokenizer_s.tokenize(lowercase__						)
                         lowerCamelCase_	  =					tokenizer_r.tokenize(lowercase__						)

                         self.assertListEqual(lowercase__		,							lowercase__						)

                   # Test that the tokenization is identical on unicode of line break type
                   lowerCamelCase_	  =					[
                       """\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:
                         lowerCamelCase_	  =					tokenizer_s.tokenize(lowercase__						)
                         lowerCamelCase_	  =					tokenizer_r.tokenize(lowercase__						)

                         self.assertListEqual(lowercase__		,							lowercase__						)

 def        a__				(       self      :						Optional[int]						)     ->			List[str]:

       """simple docstring"""






       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(f"""{tokenizer.__class__.__name__} ({pretrained_name})"""						):
                   lowerCamelCase_	  =					"""hello"""  # `hello` is a token in the vocabulary of `pretrained_name`
                   lowerCamelCase_	  =					f"""{text_of_1_token} {text_of_1_token}"""

                   lowerCamelCase_	  =					self.rust_tokenizer_class.from_pretrained(
                       lowercase__		,							use_fast=lowercase__		,							)
                   lowerCamelCase_	  =					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__						))		,							)

                   lowerCamelCase_	  =					f""" {text}"""

                   lowerCamelCase_	  =					self.rust_tokenizer_class.from_pretrained(
                       lowercase__		,							use_fast=lowercase__		,							)
                   lowerCamelCase_	  =					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        a__				(       self      :						Union[str, Any]						)     ->			List[str]:

       """simple docstring"""






       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        a__				(       self      :						Union[str, Any]						)     ->			Tuple:

       """simple docstring"""






       super().test_tokenization_python_rust_equals()





 def        a__				(       self      :						List[Any]						)     ->			Tuple:

       """simple docstring"""






       pass







def     _SCREAMING_SNAKE_CASE    (							lowercase			: list[int]			,							lowercase			: list[int]  ):


      '''simple docstring'''



      lowerCamelCase_	  =					len(lowercase  )
      print('The following activities are selected:'  )

      # The first activity is always selected
      lowerCamelCase_	  =					0
      print(lowercase			,							end=','  )

      # Consider rest of the activities
      for j in range(lowercase  ):
            # If this activity has start time greater than
            # or equal to the finish time of previously
            # selected activity, then select it
            if start[j] >= finish[i]:
                  print(lowercase			,							end=','  )
                  lowerCamelCase_	  =					j


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 lowerCamelCase       :	Tuple									=     [1, 3, 0, 5, 8, 5]
 lowerCamelCase       :	int									=     [2, 4, 6, 7, 9, 9]
 print_max_activities(start, finish)



