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      (   _a    ,      unittest.TestCase      ):
 __lowerCamelCase			:      Tuple           =					CLIPTokenizer
 __lowerCamelCase			:      Tuple           =					CLIPTokenizerFast
 __lowerCamelCase			:      List[str]           =					True
 __lowerCamelCase			:      Tuple           =					{}
 __lowerCamelCase			:      Any           =					False
 def 		UpperCAmelCase__				(     self  )		->							int:
       '''simple docstring'''





       super().setUp()

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

       UpperCAmelCase			:       int			     =os.path.join(self.tmpdirname						,      VOCAB_FILES_NAMES['''vocab_file''']  )
       UpperCAmelCase			:       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(snake_case__  ) + '''\n'''  )
       with open(self.merges_file						,      '''w'''						,      encoding='''utf-8'''  ) as fp:
             fp.write('''\n'''.join(snake_case__  )  )
 def 		UpperCAmelCase__				(     self						,      **snake_case__  )		->							Union[str, Any]:
       '''simple docstring'''





       kwargs.update(self.special_tokens_map  )
       return CLIPTokenizer.from_pretrained(self.tmpdirname						,      **snake_case__  )
 def 		UpperCAmelCase__				(     self						,      **snake_case__  )		->							Any:
       '''simple docstring'''





       kwargs.update(self.special_tokens_map  )
       return CLIPTokenizerFast.from_pretrained(self.tmpdirname						,      **snake_case__  )
 def 		UpperCAmelCase__				(     self						,      snake_case__  )		->							Any:
       '''simple docstring'''





       UpperCAmelCase			:       Dict			     ='''lower newer'''
       UpperCAmelCase			:       Union[str, Any]			     ='''lower newer'''
       return input_text, output_text
 def 		UpperCAmelCase__				(     self  )		->							str:
       '''simple docstring'''





       UpperCAmelCase			:       Dict			     =CLIPTokenizer(self.vocab_file						,      self.merges_file						,      **self.special_tokens_map  )
       UpperCAmelCase			:       Union[str, Any]			     ='''lower newer'''
       UpperCAmelCase			:       Union[str, Any]			     =['''lo''', '''w''', '''er</w>''', '''n''', '''e''', '''w''', '''er</w>''']
       UpperCAmelCase			:       Union[str, Any]			     =tokenizer.tokenize(snake_case__  )
       self.assertListEqual(snake_case__						,      snake_case__  )

       UpperCAmelCase			:       int			     =tokens + [tokenizer.unk_token]
       UpperCAmelCase			:       Any			     =[10, 2, 16, 9, 3, 2, 16, 20]
       self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case__  )						,      snake_case__  )
 @require_ftfy
 def 		UpperCAmelCase__				(     self  )		->							Union[str, Any]:
       '''simple docstring'''





       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''  ):
                   UpperCAmelCase			:       List[str]			     =self.tokenizer_class.from_pretrained(snake_case__						,      **snake_case__  )
                   UpperCAmelCase			:       int			     =self.rust_tokenizer_class.from_pretrained(snake_case__						,      **snake_case__  )

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

                   self.assertListEqual(snake_case__						,      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
                   UpperCAmelCase			:       Optional[Any]			     ='''xa\u0303y''' + ''' ''' + '''x\xe3y'''
                   UpperCAmelCase			:       int			     =tokenizer_s.tokenize(snake_case__  )
                   UpperCAmelCase			:       Any			     =tokenizer_r.tokenize(snake_case__  )

                   self.assertListEqual(snake_case__						,      snake_case__  )

                   # Test that the tokenization is identical on unicode of space type
                   UpperCAmelCase			:       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:
                         UpperCAmelCase			:       List[str]			     =tokenizer_s.tokenize(snake_case__  )
                         UpperCAmelCase			:       Optional[int]			     =tokenizer_r.tokenize(snake_case__  )

                         self.assertListEqual(snake_case__						,      snake_case__  )

                   # Test that the tokenization is identical on unicode of line break type
                   UpperCAmelCase			:       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:
                         UpperCAmelCase			:       str			     =tokenizer_s.tokenize(snake_case__  )
                         UpperCAmelCase			:       Tuple			     =tokenizer_r.tokenize(snake_case__  )

                         self.assertListEqual(snake_case__						,      snake_case__  )
 def 		UpperCAmelCase__				(     self  )		->							List[str]:
       '''simple docstring'''





       for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''  ):
                   UpperCAmelCase			:       Optional[Any]			     ='''hello'''  # `hello` is a token in the vocabulary of `pretrained_name`
                   UpperCAmelCase			:       str			     =f'''{text_of_1_token} {text_of_1_token}'''

                   UpperCAmelCase			:       Dict			     =self.rust_tokenizer_class.from_pretrained(
                       snake_case__						,      use_fast=snake_case__						,      )
                   UpperCAmelCase			:       Any			     =tokenizer_r(snake_case__						,      return_offsets_mapping=snake_case__						,      add_special_tokens=snake_case__  )
                   self.assertEqual(encoding.offset_mapping[0]						,      (0, len(snake_case__  ))  )
                   self.assertEqual(
                       encoding.offset_mapping[1]						,      (len(snake_case__  ) + 1, len(snake_case__  ) + 1 + len(snake_case__  ))						,      )

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

                   UpperCAmelCase			:       str			     =self.rust_tokenizer_class.from_pretrained(
                       snake_case__						,      use_fast=snake_case__						,      )
                   UpperCAmelCase			:       Optional[Any]			     =tokenizer_r(snake_case__						,      return_offsets_mapping=snake_case__						,      add_special_tokens=snake_case__  )
                   self.assertEqual(encoding.offset_mapping[0]						,      (1, 1 + len(snake_case__  ))  )
                   self.assertEqual(
                       encoding.offset_mapping[1]						,      (1 + len(snake_case__  ) + 1, 1 + len(snake_case__  ) + 1 + len(snake_case__  ))						,      )
 def 		UpperCAmelCase__				(     self  )		->							str:
       '''simple docstring'''





       with self.assertRaises(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  )		->							Any:
       '''simple docstring'''





       super().test_tokenization_python_rust_equals()






 def 		UpperCAmelCase__				(     self  )		->							Dict:
       '''simple docstring'''





       pass







lowerCAmelCase_    =				{
    "joule": 1.0,
    "kilojoule": 1_0_0_0,
    "megajoule": 1_0_0_0_0_0_0,
    "gigajoule": 1_0_0_0_0_0_0_0_0_0,
    "wattsecond": 1.0,
    "watthour": 3_6_0_0,
    "kilowatthour": 3_6_0_0_0_0_0,
    "newtonmeter": 1.0,
    "calorie_nutr": 4_1_8_6.8,
    "kilocalorie_nutr": 4_1_8_6_8_0_0.0_0,
    "electronvolt": 1.602_176_634e-19,
    "britishthermalunit_it": 1_0_5_5.0_5_5_8_5,
    "footpound": 1.355_818,
}






def      lowerCamelCase_						(				_UpperCamelCase ,				_UpperCamelCase ,				_UpperCamelCase )		->						float:






				"""simple docstring"""


				if to_type not in ENERGY_CONVERSION or from_type not in ENERGY_CONVERSION:
								snake_case_						:    str				=  (
								    f'''Incorrect \'from_type\' or \'to_type\' value: {from_type!r}, {to_type!r}\n'''
								    f'''Valid values are: {", ".join(_UpperCamelCase )}'''
								)
								raise ValueError(_UpperCamelCase )
				return value * ENERGY_CONVERSION[from_type] / ENERGY_CONVERSION[to_type]


if __name__ == "__main__":
	import doctest

	doctest.testmod()
