




import json
import os
import unittest

from transformers.models.gptsan_japanese.tokenization_gptsan_japanese import (
    VOCAB_FILES_NAMES,
    GPTSanJapaneseTokenizer,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class        UpperCamelCase_					(				UpperCAmelCase__	,      unittest.TestCase  ):

    '''simple docstring'''






    UpperCAmelCase__													=   GPTSanJapaneseTokenizer
    UpperCAmelCase__													=   False
    UpperCAmelCase__													=   {'''do_clean_text''': False, '''add_prefix_space''': False}


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





           '''simple docstring'''

           super().setUp()

           # fmt: off
           A__   				=					['''こん''', '''こんに''', '''にちは''', '''ばんは''', '''世界,㔺界''', '''、''', '''。''', '''<BR>''', '''<SP>''', '''<TAB>''', '''<URL>''', '''<EMAIL>''', '''<TEL>''', '''<DATE>''', '''<PRICE>''', '''<BLOCK>''', '''<KIGOU>''', '''<U2000U2BFF>''', '''<|emoji1|>''', '''<unk>''', '''<|bagoftoken|>''', '''<|endoftext|>''']
           # fmt: on
           A__   				=					{'''emoji''': {'''\ud83d\ude00''': '''<|emoji1|>'''}, '''emoji_inv''': {'''<|emoji1|>''': '''\ud83d\ude00'''}}  # 😀
           A__   				=					{'''unk_token''': '''<unk>'''}

           A__   				=					os.path.join(self.tmpdirname      ,				VOCAB_FILES_NAMES['''vocab_file'''])
           A__   				=					os.path.join(self.tmpdirname      ,				VOCAB_FILES_NAMES['''emoji_file'''])
           with open(self.vocab_file      ,				'''w'''      ,				encoding='''utf-8''') as vocab_writer:
                  vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]))
           with open(self.emoji_file      ,				'''w''') as emoji_writer:
                  emoji_writer.write(json.dumps(UpperCAmelCase__))


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





           '''simple docstring'''

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


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





           '''simple docstring'''

           A__   				=					'''こんにちは、世界。 \nこんばんは、㔺界。😀'''
           A__   				=					'''こんにちは、世界。 \nこんばんは、世界。😀'''
           return input_text, output_text


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





           '''simple docstring'''

           A__				,							A__   				=					self.get_input_output_texts(UpperCAmelCase__)
           A__   				=					tokenizer.encode(UpperCAmelCase__      ,				add_special_tokens=UpperCAmelCase__)
           A__   				=					tokenizer.decode(UpperCAmelCase__      ,				clean_up_tokenization_spaces=UpperCAmelCase__)
           return text, ids


    def  SCREAMING_SNAKE_CASE							(    self   :			Tuple)		->Dict:





           '''simple docstring'''

           pass  # TODO add if relevant


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





           '''simple docstring'''

           pass  # TODO add if relevant


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





           '''simple docstring'''

           pass  # TODO add if relevant


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





           '''simple docstring'''

           A__   				=					self.get_tokenizer()

           # Testing tokenization
           A__   				=					'''こんにちは、世界。　こんばんは、㔺界。'''
           A__   				=					['''こん''', '''にちは''', '''、''', '''世界''', '''。''', '''<SP>''', '''こん''', '''ばんは''', '''、''', '''㔺界''', '''。''']
           A__   				=					tokenizer.tokenize(UpperCAmelCase__)
           self.assertListEqual(UpperCAmelCase__      ,				UpperCAmelCase__)

           # Testing conversion to ids without special tokens
           A__   				=					[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6]
           A__   				=					tokenizer.convert_tokens_to_ids(UpperCAmelCase__)
           self.assertListEqual(UpperCAmelCase__      ,				UpperCAmelCase__)

           # Testing conversion to ids with special tokens
           A__   				=					tokens + [tokenizer.unk_token]
           A__   				=					[0, 2, 5, 4, 6, 8, 0, 3, 5, 4, 6, 19]
           A__   				=					tokenizer.convert_tokens_to_ids(UpperCAmelCase__)
           self.assertListEqual(UpperCAmelCase__      ,				UpperCAmelCase__)


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





           '''simple docstring'''

           A__   				=					self.get_tokenizer()

           # Testing tokenization
           A__   				=					'''こんにちは、<|bagoftoken|>世界。こんばんは、<|bagoftoken|>㔺界。'''
           A__   				=					'''こんにちは、、、、世界。こんばんは、、、、世界。'''
           A__   				=					tokenizer.encode(UpperCAmelCase__)
           A__   				=					tokenizer.decode(UpperCAmelCase__)
           self.assertEqual(UpperCAmelCase__      ,				UpperCAmelCase__)


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





           '''simple docstring'''

           A__   				=					self.tokenizer_class.from_pretrained('''Tanrei/GPTSAN-japanese''')

           # Testing tokenization
           A__   				=					'''こんにちは、世界。'''
           A__   				=					'''こんばんは、㔺界。😀'''
           A__   				=					'''こんにちは、世界。こんばんは、世界。😀'''
           A__   				=					tokenizer.encode(prefix_text + input_text)
           A__   				=					tokenizer.encode(''''''      ,				prefix_text=prefix_text + input_text)
           A__   				=					tokenizer.encode(UpperCAmelCase__      ,				prefix_text=UpperCAmelCase__)
           A__   				=					tokenizer.decode(UpperCAmelCase__)
           A__   				=					tokenizer.decode(UpperCAmelCase__)
           A__   				=					tokenizer.decode(UpperCAmelCase__)
           self.assertEqual(UpperCAmelCase__      ,				UpperCAmelCase__)
           self.assertEqual(UpperCAmelCase__      ,				UpperCAmelCase__)
           self.assertEqual(UpperCAmelCase__      ,				UpperCAmelCase__)


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





           '''simple docstring'''

           A__   				=					self.tokenizer_class.from_pretrained('''Tanrei/GPTSAN-japanese''')

           # Testing tokenization
           A__   				=					'''こんにちは、世界。'''
           A__   				=					'''こんばんは、㔺界。😀'''

           A__   				=					len(tokenizer.encode(UpperCAmelCase__)) - 2
           A__   				=					len(tokenizer.encode(UpperCAmelCase__)) - 2

           A__   				=					[1] + [0] * (len_prefix + len_text + 1)
           A__   				=					[1] * (len_prefix + len_text + 1) + [0]
           A__   				=					[1] + [1] * (len_prefix) + [0] * (len_text + 1)

           A__   				=					tokenizer(prefix_text + input_text).token_type_ids
           A__   				=					tokenizer(''''''      ,				prefix_text=prefix_text + input_text).token_type_ids
           A__   				=					tokenizer(UpperCAmelCase__      ,				prefix_text=UpperCAmelCase__).token_type_ids
           self.assertListEqual(UpperCAmelCase__      ,				UpperCAmelCase__)
           self.assertListEqual(UpperCAmelCase__      ,				UpperCAmelCase__)
           self.assertListEqual(UpperCAmelCase__      ,				UpperCAmelCase__)


    @slow
    def  SCREAMING_SNAKE_CASE							(    self   :			List[Any])		->List[str]:





           '''simple docstring'''

           A__   				=					self.tokenizer_class.from_pretrained('''Tanrei/GPTSAN-japanese''')

           A__   				=					tokenizer.encode('''あンいワ''')
           A__   				=					tokenizer.encode(''''''      ,				prefix_text='''あンいワ''')
           A__   				=					tokenizer.encode('''いワ'''      ,				prefix_text='''あン''')

           self.assertEqual(tokenizer.decode(UpperCAmelCase__)      ,				tokenizer.decode(UpperCAmelCase__))
           self.assertEqual(tokenizer.decode(UpperCAmelCase__)      ,				tokenizer.decode(UpperCAmelCase__))
           self.assertNotEqual(UpperCAmelCase__      ,				UpperCAmelCase__)
           self.assertNotEqual(UpperCAmelCase__      ,				UpperCAmelCase__)
           self.assertEqual(x_token_a[1]      ,				x_token_a[-1])  # SEG token
           self.assertEqual(x_token_a[1]      ,				x_token_a[3])  # SEG token


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





           '''simple docstring'''

           A__   				=					self.tokenizer_class.from_pretrained('''Tanrei/GPTSAN-japanese''')

           A__   				=					[['''武田信玄''', '''は、'''], ['''織田信長''', '''の配下の、''']]
           A__   				=					tokenizer(UpperCAmelCase__      ,				padding=UpperCAmelCase__)
           A__   				=					tokenizer.batch_encode_plus(UpperCAmelCase__      ,				padding=UpperCAmelCase__)

           # fmt: off
           A__   				=					[[35_993, 8_640, 25_948, 35_998, 30_647, 35_675, 35_999, 35_999], [35_993, 10_382, 9_868, 35_998, 30_646, 9_459, 30_646, 35_675]]
           A__   				=					[[1, 1, 1, 0, 0, 0, 0, 0], [1, 1, 1, 0, 0, 0, 0, 0]]
           A__   				=					[[1, 1, 1, 1, 1, 1, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1]]
           # fmt: on
           self.assertListEqual(x_token.input_ids      ,				UpperCAmelCase__)
           self.assertListEqual(x_token.token_type_ids      ,				UpperCAmelCase__)
           self.assertListEqual(x_token.attention_mask      ,				UpperCAmelCase__)
           self.assertListEqual(x_token_a.input_ids      ,				UpperCAmelCase__)
           self.assertListEqual(x_token_a.token_type_ids      ,				UpperCAmelCase__)
           self.assertListEqual(x_token_a.attention_mask      ,				UpperCAmelCase__)


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





           '''simple docstring'''

           pass





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





           '''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()))


