





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        snake_case_    (		SCREAMING_SNAKE_CASE__					,unittest.TestCase						):
  A_      							=   CLIPTokenizer
  A_      							=   CLIPTokenizerFast
  A_      							=   True
  A_      							=   {}
  A_      							=   False






  def 				UpperCAmelCase__						(							self			:					Tuple      )->Tuple:






   '''simple docstring'''

   super().setUp()

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

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






  def 				UpperCAmelCase__						(							self			:					Optional[Any]       ,  **_snake_case			:					str      )->str:






   '''simple docstring'''

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






  def 				UpperCAmelCase__						(							self			:					str       ,  **_snake_case			:					str      )->Any:






   '''simple docstring'''

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






  def 				UpperCAmelCase__						(							self			:					List[Any]       ,  _snake_case			:					Dict      )->Tuple:






   '''simple docstring'''

   __lowerCAmelCase					:	List[Any]      =       """lower newer"""
   __lowerCAmelCase					:	Tuple      =       """lower newer"""
   return input_text, output_text






  def 				UpperCAmelCase__						(							self			:					Optional[Any]      )->Any:






   '''simple docstring'''

   __lowerCAmelCase					:	List[str]      =       CLIPTokenizer(self.vocab_file       ,  self.merges_file       ,  **self.special_tokens_map      )
   __lowerCAmelCase					:	Tuple      =       """lower newer"""
   __lowerCAmelCase					:	Dict      =       ["""lo""", """w""", """er</w>""", """n""", """e""", """w""", """er</w>"""]
   __lowerCAmelCase					:	List[Any]      =       tokenizer.tokenize(a_      )
   self.assertListEqual(a_       ,  a_      )

   __lowerCAmelCase					:	Any      =       tokens + [tokenizer.unk_token]
   __lowerCAmelCase					:	List[Any]      =       [10, 2, 16, 9, 3, 2, 16, 20]
   self.assertListEqual(tokenizer.convert_tokens_to_ids(a_      )       ,  a_      )






  @require_ftfy
  def 				UpperCAmelCase__						(							self			:					Dict      )->int:






   '''simple docstring'''

   for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
    with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''      ):
     __lowerCAmelCase					:	str      =       self.tokenizer_class.from_pretrained(a_       ,  **a_      )
     __lowerCAmelCase					:	Any      =       self.rust_tokenizer_class.from_pretrained(a_       ,  **a_      )

     __lowerCAmelCase					:	Optional[Any]      =       """A\n'll 11p223RF☆ho!!to?'d'd''d of a cat to-$''d."""
     __lowerCAmelCase					:	Dict      =       tokenizer_s.tokenize(a_      )
     __lowerCAmelCase					:	str      =       tokenizer_r.tokenize(a_      )

     self.assertListEqual(a_       ,  a_      )

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

     self.assertListEqual(a_       ,  a_      )

     # Test that the tokenization is identical on unicode of space type
     __lowerCAmelCase					:	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:
      __lowerCAmelCase					:	Dict      =       tokenizer_s.tokenize(a_      )
      __lowerCAmelCase					:	int      =       tokenizer_r.tokenize(a_      )

      self.assertListEqual(a_       ,  a_      )

     # Test that the tokenization is identical on unicode of line break type
     __lowerCAmelCase					:	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:
      __lowerCAmelCase					:	Tuple      =       tokenizer_s.tokenize(a_      )
      __lowerCAmelCase					:	Optional[int]      =       tokenizer_r.tokenize(a_      )

      self.assertListEqual(a_       ,  a_      )






  def 				UpperCAmelCase__						(							self			:					Tuple      )->Tuple:






   '''simple docstring'''

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

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

     __lowerCAmelCase					:	str      =       F''' {text}'''

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






  def 				UpperCAmelCase__						(							self			:					Tuple      )->int:






   '''simple docstring'''

   with self.assertRaises(a_      ) 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]      )->Any:






   '''simple docstring'''

   super().test_tokenization_python_rust_equals()






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






   '''simple docstring'''

   pass






def 	_SCREAMING_SNAKE_CASE		(      SCREAMING_SNAKE_CASE		:list[list[int | float]]   )      ->   int:
 __lowerCAmelCase					:	str      =       len(SCREAMING_SNAKE_CASE   )
 __lowerCAmelCase					:	Optional[int]      =       len(matrix[0]   )
 __lowerCAmelCase					:	List[Any]      =       min(SCREAMING_SNAKE_CASE   ,   SCREAMING_SNAKE_CASE   )

 for row in range(SCREAMING_SNAKE_CASE   ):
  # Check if diagonal element is not zero
  if matrix[row][row] != 0:
   # Eliminate all the elements below the diagonal
   for col in range(row + 1   ,   SCREAMING_SNAKE_CASE   ):
    __lowerCAmelCase					:	Union[str, Any]      =       matrix[col][row] / matrix[row][row]
    for i in range(SCREAMING_SNAKE_CASE   ,   SCREAMING_SNAKE_CASE   ):
     matrix[col][i] -= multiplier * matrix[row][i]
  else:
   # Find a non-zero diagonal element to swap rows
   __lowerCAmelCase					:	Optional[int]      =       True
   for i in range(row + 1   ,   SCREAMING_SNAKE_CASE   ):
    if matrix[i][row] != 0:
     __lowerCAmelCase ,					__lowerCAmelCase					:	Union[str, Any]      =       matrix[i], matrix[row]
     __lowerCAmelCase					:	Union[str, Any]      =       False
     break
   if reduce:
    rank -= 1
    for i in range(SCREAMING_SNAKE_CASE   ):
     __lowerCAmelCase					:	int      =       matrix[i][rank]

            # Reduce the row pointer by one to stay on the same row
   row -= 1

 return rank


if __name__ == "__main__":
      import doctest

      doctest.testmod()