'''simple docstring'''




import json
import os
from typing import Optional, Tuple

import regex as re

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


__lowercase          =  logging.get_logger(__name__)

__lowercase          =  {
    '''vocab_file''': '''vocab.json''',
    '''merges_file''': '''merges.txt''',
}

__lowercase          =  {
    '''vocab_file''': {'''ctrl''': '''https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-vocab.json'''},
    '''merges_file''': {'''ctrl''': '''https://raw.githubusercontent.com/salesforce/ctrl/master/ctrl-merges.txt'''},
}

__lowercase          =  {
    '''ctrl''': 2_5_6,
}

__lowercase          =  {
    '''Pregnancy''': 1_6_8_6_2_9,
    '''Christianity''': 7_6_7_5,
    '''Explain''': 1_0_6_4_2_3,
    '''Fitness''': 6_3_4_4_0,
    '''Saving''': 6_3_1_6_3,
    '''Ask''': 2_7_1_7_1,
    '''Ass''': 9_5_9_8_5,
    '''Joke''': 1_6_3_5_0_9,
    '''Questions''': 4_5_6_2_2,
    '''Thoughts''': 4_9_6_0_5,
    '''Retail''': 5_2_3_4_2,
    '''Feminism''': 1_6_4_3_3_8,
    '''Writing''': 1_1_9_9_2,
    '''Atheism''': 1_9_2_2_6_3,
    '''Netflix''': 4_8_6_1_6,
    '''Computing''': 3_9_6_3_9,
    '''Opinion''': 4_3_2_1_3,
    '''Alone''': 4_4_9_6_7,
    '''Funny''': 5_8_9_1_7,
    '''Gaming''': 4_0_3_5_8,
    '''Human''': 4_0_8_8,
    '''India''': 1_3_3_1,
    '''Joker''': 7_7_1_3_8,
    '''Diet''': 3_6_2_0_6,
    '''Legal''': 1_1_8_5_9,
    '''Norman''': 4_9_3_9,
    '''Tip''': 7_2_6_8_9,
    '''Weight''': 5_2_3_4_3,
    '''Movies''': 4_6_2_7_3,
    '''Running''': 2_3_4_2_5,
    '''Science''': 2_0_9_0,
    '''Horror''': 3_7_7_9_3,
    '''Confession''': 6_0_5_7_2,
    '''Finance''': 1_2_2_5_0,
    '''Politics''': 1_6_3_6_0,
    '''Scary''': 1_9_1_9_8_5,
    '''Support''': 1_2_6_5_4,
    '''Technologies''': 3_2_5_1_6,
    '''Teenage''': 6_6_1_6_0,
    '''Event''': 3_2_7_6_9,
    '''Learned''': 6_7_4_6_0,
    '''Notion''': 1_8_2_7_7_0,
    '''Wikipedia''': 3_7_5_8_3,
    '''Books''': 6_6_6_5,
    '''Extract''': 7_6_0_5_0,
    '''Confessions''': 1_0_2_7_0_1,
    '''Conspiracy''': 7_5_9_3_2,
    '''Links''': 6_3_6_7_4,
    '''Narcissus''': 1_5_0_4_2_5,
    '''Relationship''': 5_4_7_6_6,
    '''Relationships''': 1_3_4_7_9_6,
    '''Reviews''': 4_1_6_7_1,
    '''News''': 4_2_5_6,
    '''Translation''': 2_6_8_2_0,
    '''multilingual''': 1_2_8_4_0_6,
}






def 				snake_case__							(			_A:					int )    ->	Optional[Any]:

		'''simple docstring'''


		lowerCAmelCase   					=  set()
		lowerCAmelCase   					=  word[0]
		for char in word[1:]:
				pairs.add((prev_char, char) )
				lowerCAmelCase   					=  char

		lowerCAmelCase   					=  set(__lowerCAmelCase )
		return pairs






class 				a__(					__a	):


			'''simple docstring'''






			UpperCAmelCase_			:     Union[str, Any]      =       VOCAB_FILES_NAMES
			UpperCAmelCase_			:     Optional[Any]      =       PRETRAINED_VOCAB_FILES_MAP
			UpperCAmelCase_			:     Optional[Any]      =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			UpperCAmelCase_			:     str      =       CONTROL_CODES



			def __init__(   self       ,    __lowerCAmelCase       ,    __lowerCAmelCase       ,    __lowerCAmelCase="<unk>"       ,    **__lowerCAmelCase):




					"""simple docstring"""


					super().__init__(unk_token=_UpperCamelCase       ,    **_UpperCamelCase)

					with open(_UpperCamelCase       ,    encoding="""utf-8""") as vocab_handle:
							lowerCAmelCase   					=  json.load(_UpperCamelCase)
					lowerCAmelCase   					=  {v: k for k, v in self.encoder.items()}
					with open(_UpperCamelCase       ,    encoding="""utf-8""") as merges_handle:
							lowerCAmelCase   					=  merges_handle.read().split("""\n""")[1:-1]
					lowerCAmelCase   					=  [tuple(merge.split()) for merge in merges]
					lowerCAmelCase   					=  dict(zip(_UpperCamelCase       ,    range(len(_UpperCamelCase))))
					lowerCAmelCase   					=  {}



			@property
			def 							a_       (   self):




					"""simple docstring"""


					return len(self.encoder)



			def 							a_       (   self):




					"""simple docstring"""


					return dict(self.encoder       ,    **self.added_tokens_encoder)



			def 							a_       (   self       ,    __lowerCAmelCase):




					"""simple docstring"""


					if token in self.cache:
							return self.cache[token]
					lowerCAmelCase   					=  tuple(_UpperCamelCase)
					lowerCAmelCase   					=  tuple(list(word[:-1]) + [word[-1] + """</w>"""])
					lowerCAmelCase   					=  get_pairs(_UpperCamelCase)

					if not pairs:
							return token

					while True:
							lowerCAmelCase   					=  min(_UpperCamelCase       ,    key=lambda __lowerCAmelCase: self.bpe_ranks.get(_UpperCamelCase       ,    float("""inf""")))
							if bigram not in self.bpe_ranks:
									break
							lowerCAmelCase					,     lowerCAmelCase   					=  bigram
							lowerCAmelCase   					=  []
							lowerCAmelCase   					=  0
							while i < len(_UpperCamelCase):
									try:
											lowerCAmelCase   					=  word.index(_UpperCamelCase       ,    _UpperCamelCase)
									except ValueError:
											new_word.extend(word[i:])
											break
									else:
											new_word.extend(word[i:j])
											lowerCAmelCase   					=  j

									if word[i] == first and i < len(_UpperCamelCase) - 1 and word[i + 1] == second:
											new_word.append(first + second)
											i += 2
									else:
											new_word.append(word[i])
											i += 1
							lowerCAmelCase   					=  tuple(_UpperCamelCase)
							lowerCAmelCase   					=  new_word
							if len(_UpperCamelCase) == 1:
									break
							else:
									lowerCAmelCase   					=  get_pairs(_UpperCamelCase)
					lowerCAmelCase   					=  """@@ """.join(_UpperCamelCase)
					lowerCAmelCase   					=  word[:-4]
					lowerCAmelCase   					=  word
					return word



			def 							a_       (   self       ,    __lowerCAmelCase):




					"""simple docstring"""


					lowerCAmelCase   					=  []

					lowerCAmelCase   					=  re.findall(r"""\S+\n?"""       ,    _UpperCamelCase)

					for token in words:
							split_tokens.extend(list(self.bpe(_UpperCamelCase).split(""" """)))
					return split_tokens



			def 							a_       (   self       ,    __lowerCAmelCase):




					"""simple docstring"""


					return self.encoder.get(_UpperCamelCase       ,    self.encoder.get(self.unk_token))



			def 							a_       (   self       ,    __lowerCAmelCase):




					"""simple docstring"""


					return self.decoder.get(_UpperCamelCase       ,    self.unk_token)



			def 							a_       (   self       ,    __lowerCAmelCase):




					"""simple docstring"""


					lowerCAmelCase   					=  """ """.join(_UpperCamelCase).replace("""@@ """       ,    """""").strip()
					return out_string







			def 							a_       (   self       ,    __lowerCAmelCase       ,    __lowerCAmelCase = None):




					"""simple docstring"""


					if not os.path.isdir(_UpperCamelCase):
							logger.error(f"Vocabulary path ({save_directory}) should be a directory")
							return
					lowerCAmelCase   					=  os.path.join(
					    _UpperCamelCase       ,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""])
					lowerCAmelCase   					=  os.path.join(
					    _UpperCamelCase       ,    (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""])

					with open(_UpperCamelCase       ,    """w"""       ,    encoding="""utf-8""") as f:
							f.write(json.dumps(self.encoder       ,    indent=2       ,    sort_keys=_UpperCamelCase       ,    ensure_ascii=_UpperCamelCase) + """\n""")

					lowerCAmelCase   					=  0
					with open(_UpperCamelCase       ,    """w"""       ,    encoding="""utf-8""") as writer:
							writer.write("""#version: 0.2\n""")
							for bpe_tokens, token_index in sorted(self.bpe_ranks.items()       ,    key=lambda __lowerCAmelCase: kv[1]):
									if index != token_index:
											logger.warning(
											    f"Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."
											    """ Please check that the tokenizer is not corrupted!""")
											lowerCAmelCase   					=  token_index
									writer.write(""" """.join(_UpperCamelCase) + """\n""")
									index += 1

					return vocab_file, merge_file

			# def decode(self, token_ids, skip_special_tokens=False, clean_up_tokenization_spaces=True):
			#     filtered_tokens = ' '.join(self.convert_ids_to_tokens(token_ids, skip_special_tokens=skip_special_tokens))
			#     tokens_generated_so_far = re.sub('(@@ )', '', string=filtered_tokens)
			#     tokens_generated_so_far = re.sub('(@@ ?$)', '', string=tokens_generated_so_far)
			#     return ''.join(tokens_generated_so_far)






import requests

_A   =     "https://newsapi.org/v1/articles?source=bbc-news&sortBy=top&apiKey="






def    lowerCamelCase__				(				__lowerCAmelCase  :  str				):




			"""simple docstring"""


			lowerCAmelCase_						=	requests.get(_NEWS_API + bbc_news_api_key				).json()
			# each article in the list is a dict
			for i, article in enumerate(bbc_news_page["articles"]    ,							1				):
						print(F"""{i}.) {article['title']}"""				)


if __name__ == "__main__":
			fetch_bbc_news(bbc_news_api_key="<Your BBC News API key goes here>")



