




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_					(				UpperCAmelCase__	,      unittest.TestCase  ):

    '''simple docstring'''






    UpperCAmelCase__													=   CLIPTokenizer
    UpperCAmelCase__													=   CLIPTokenizerFast
    UpperCAmelCase__													=   True
    UpperCAmelCase__													=   {}
    UpperCAmelCase__													=   False


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





           '''simple docstring'''

           super().setUp()

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

           A__   				=					os.path.join(self.tmpdirname      ,				VOCAB_FILES_NAMES['''vocab_file'''])
           A__   				=					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(UpperCAmelCase__) + '''\n''')
           with open(self.merges_file      ,				'''w'''      ,				encoding='''utf-8''') as fp:
                  fp.write('''\n'''.join(UpperCAmelCase__))


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





           '''simple docstring'''

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


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





           '''simple docstring'''

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


    def  SCREAMING_SNAKE_CASE							(    self   :			List[Any]      ,				UpperCAmelCase__   :			Any)		->Optional[int]:





           '''simple docstring'''

           A__   				=					'''lower newer'''
           A__   				=					'''lower newer'''
           return input_text, output_text


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





           '''simple docstring'''

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

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


    @require_ftfy
    def  SCREAMING_SNAKE_CASE							(    self   :			str)		->str:





           '''simple docstring'''

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

                         A__   				=					'''A\n\'ll 11p223RF☆ho!!to?\'d\'d\'\'d of a cat to-$\'\'d.'''
                         A__   				=					tokenizer_s.tokenize(UpperCAmelCase__)
                         A__   				=					tokenizer_r.tokenize(UpperCAmelCase__)

                         self.assertListEqual(UpperCAmelCase__      ,				UpperCAmelCase__)

                         # Test that the tokenization is identical on an example containing a character (Latin Small Letter A
                         # with Tilde) encoded in 2 different ways
                         A__   				=					'''xa\u0303y''' + ''' ''' + '''x\xe3y'''
                         A__   				=					tokenizer_s.tokenize(UpperCAmelCase__)
                         A__   				=					tokenizer_r.tokenize(UpperCAmelCase__)

                         self.assertListEqual(UpperCAmelCase__      ,				UpperCAmelCase__)

                         # Test that the tokenization is identical on unicode of space type
                         A__   				=					[
                             '''\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__   				=					tokenizer_s.tokenize(UpperCAmelCase__)
                                A__   				=					tokenizer_r.tokenize(UpperCAmelCase__)

                                self.assertListEqual(UpperCAmelCase__      ,				UpperCAmelCase__)

                         # Test that the tokenization is identical on unicode of line break type
                         A__   				=					[
                             '''\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__   				=					tokenizer_s.tokenize(UpperCAmelCase__)
                                A__   				=					tokenizer_r.tokenize(UpperCAmelCase__)

                                self.assertListEqual(UpperCAmelCase__      ,				UpperCAmelCase__)


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





           '''simple docstring'''

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

                         A__   				=					self.rust_tokenizer_class.from_pretrained(
                             UpperCAmelCase__      ,				use_fast=UpperCAmelCase__      ,				)
                         A__   				=					tokenizer_r(UpperCAmelCase__      ,				return_offsets_mapping=UpperCAmelCase__      ,				add_special_tokens=UpperCAmelCase__)
                         self.assertEqual(encoding.offset_mapping[0]      ,				(0, len(UpperCAmelCase__)))
                         self.assertEqual(
                             encoding.offset_mapping[1]      ,				(len(UpperCAmelCase__) + 1, len(UpperCAmelCase__) + 1 + len(UpperCAmelCase__))      ,				)

                         A__   				=					f""" {text}"""

                         A__   				=					self.rust_tokenizer_class.from_pretrained(
                             UpperCAmelCase__      ,				use_fast=UpperCAmelCase__      ,				)
                         A__   				=					tokenizer_r(UpperCAmelCase__      ,				return_offsets_mapping=UpperCAmelCase__      ,				add_special_tokens=UpperCAmelCase__)
                         self.assertEqual(encoding.offset_mapping[0]      ,				(1, 1 + len(UpperCAmelCase__)))
                         self.assertEqual(
                             encoding.offset_mapping[1]      ,				(1 + len(UpperCAmelCase__) + 1, 1 + len(UpperCAmelCase__) + 1 + len(UpperCAmelCase__))      ,				)


    def  SCREAMING_SNAKE_CASE							(    self   :			List[Any])		->Optional[int]:





           '''simple docstring'''

           with self.assertRaises(UpperCAmelCase__) 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  SCREAMING_SNAKE_CASE							(    self   :			Any)		->Optional[int]:





           '''simple docstring'''

           super().test_tokenization_python_rust_equals()





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





           '''simple docstring'''

           pass








from collections import namedtuple

import requests
from lxml import html  # type: ignore

_lowerCamelCase			:	Optional[int]							 =     namedtuple("""covid_data""", """cases deaths recovered""")







def SCREAMING_SNAKE_CASE       ( lowercase_ = "https://www.worldometers.info/coronavirus/"		)     -> covid_data:



       """simple docstring"""

       A__   				=					'''//div[@class = "maincounter-number"]/span/text()'''
       return covid_data(*html.fromstring(requests.get(lowercase_		).content		).xpath(lowercase_		)		)


_lowerCamelCase			:	Optional[int]							 =     """Total COVID-19 cases in the world: {}
Total deaths due to COVID-19 in the world: {}
Total COVID-19 patients recovered in the world: {}"""
print(fmt.format(*covid_stats()))


