


import collections
import os
from typing import List, Optional, Tuple

from transformers.utils import is_jieba_available, requires_backends


if is_jieba_available():
      import jieba

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


SCREAMING_SNAKE_CASE :   Optional[int]							      =				logging.get_logger(__name__)

SCREAMING_SNAKE_CASE :   Dict							      =				{"""vocab_file""": """vocab.txt"""}

SCREAMING_SNAKE_CASE :   Optional[int]							      =				{
    """vocab_file""": {
        """openbmb/cpm-ant-10b""": """https://huggingface.co/openbmb/cpm-ant-10b/blob/main/vocab.txt""",
    },
}

SCREAMING_SNAKE_CASE :   Tuple							      =				{
    """openbmb/cpm-ant-10b""": 1024,
}



def        UpperCamelCase_(   lowerCamelCase_				)					->		Tuple:
    _lowercase :							Optional[Any]   	=	collections.OrderedDict()
    with open(lowerCamelCase_							,				'r'							,				encoding='utf-8'				) as reader:
        _lowercase :							str   	=	reader.readlines()
    for index, token in enumerate(lowerCamelCase_				):
        _lowercase :							Dict   	=	token.rstrip('\n'				)
        _lowercase :							Tuple   	=	index
    return vocab






class _lowerCamelCase(		SCREAMING_SNAKE_CASE__     ):
       def __init__(      self,   lowerCamelCase,   lowerCamelCase="<unk>",   lowerCamelCase=2_00) ->     Dict:




           """simple docstring"""

           _lowercase :							Dict   	=	vocab
           _lowercase :							Optional[int]   	=	unk_token
           _lowercase :							int   	=	max_input_chars_per_word




       def     UpperCamelCase  (      self,   lowerCamelCase) ->     Dict:




           """simple docstring"""

           _lowercase :							str   	=	list(snake_case__)
           if len(snake_case__) > self.max_input_chars_per_word:
               return [self.unk_token]

           _lowercase :							Union[str, Any]   	=	0
           _lowercase :							Union[str, Any]   	=	[]
           while start < len(snake_case__):
               _lowercase :							Dict   	=	len(snake_case__)
               _lowercase :							Optional[int]   	=	None
               while start < end:
                   _lowercase :							List[str]   	=	"".join(chars[start:end])
                   if substr in self.vocab:
                       _lowercase :							Union[str, Any]   	=	substr
                       break
                   end -= 1
               if cur_substr is None:
                   sub_tokens.append(self.unk_token)
                   start += 1
               else:
                   sub_tokens.append(snake_case__)
                   _lowercase :							Tuple   	=	end

           return sub_tokens






class _lowerCamelCase(		SCREAMING_SNAKE_CASE__     ):
       lowercase_				:			int									=    VOCAB_FILES_NAMES
       lowercase_				:			int									=    PRETRAINED_VOCAB_FILES_MAP
       lowercase_				:			Optional[Any]									=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       lowercase_				:			Optional[int]									=    ["""input_ids""", """attention_mask"""]
       lowercase_				:			int									=    False
       def __init__(      self,   lowerCamelCase,   lowerCamelCase="<d>",   lowerCamelCase="</d>",   lowerCamelCase="<s>",   lowerCamelCase="</s>",   lowerCamelCase="<pad>",   lowerCamelCase="<unk>",   lowerCamelCase="</n>",   lowerCamelCase="</_>",   lowerCamelCase="left",   **lowerCamelCase,   ) ->     Tuple:




           """simple docstring"""

           requires_backends(self,   ['jieba'])
           super().__init__(
               bod_token=snake_case__,   eod_token=snake_case__,   bos_token=snake_case__,   eos_token=snake_case__,   pad_token=snake_case__,   unk_token=snake_case__,   line_token=snake_case__,   space_token=snake_case__,   padding_side=snake_case__,   **snake_case__,   )
           _lowercase :							Dict   	=	bod_token
           _lowercase :							int   	=	eod_token
           _lowercase :							Optional[int]   	=	load_vocab(snake_case__)
           _lowercase :							Optional[Any]   	=	self.encoder[space_token]
           _lowercase :							List[Any]   	=	self.encoder[line_token]

           del self.encoder[space_token]
           del self.encoder[line_token]

           _lowercase :							str   	=	collections.OrderedDict(sorted(self.encoder.items(),   key=lambda lowerCamelCase: x[1]))
           _lowercase :							Union[str, Any]   	=	{v: k for k, v in self.encoder.items()}

           _lowercase :							List[Any]   	=	WordpieceTokenizer(vocab=self.encoder,   unk_token=self.unk_token)
       @property
       def     UpperCamelCase  (      self) ->     str:




           """simple docstring"""

           return self.encoder[self.bod_token]
       @property
       def     UpperCamelCase  (      self) ->     Optional[int]:




           """simple docstring"""

           return self.encoder[self.eod_token]
       @property
       def     UpperCamelCase  (      self) ->     Any:




           """simple docstring"""

           return self.encoder["\n"]
       @property
       def     UpperCamelCase  (      self) ->     List[Any]:




           """simple docstring"""

           return len(self.encoder)
       def     UpperCamelCase  (      self) ->     List[str]:




           """simple docstring"""

           return dict(self.encoder,   **self.added_tokens_encoder)
       def     UpperCamelCase  (      self,   lowerCamelCase) ->     List[Any]:




           """simple docstring"""

           _lowercase :							Any   	=	[]
           for x in jieba.cut(snake_case__,   cut_all=snake_case__):
               output_tokens.extend(self.wordpiece_tokenizer.tokenize(snake_case__))
           return output_tokens
       def     UpperCamelCase  (      self,   lowerCamelCase,   **lowerCamelCase) ->     Union[str, Any]:




           """simple docstring"""

           _lowercase :							int   	=	[i for i in token_ids if i >= 0]
           _lowercase :							List[Any]   	=	[
               x for x in token_ids if x != self.pad_token_id and x != self.eos_token_id and x != self.bos_token_id
           ]
           return super()._decode(snake_case__,   **snake_case__)
       def     UpperCamelCase  (      self,   lowerCamelCase) ->     Tuple:




           """simple docstring"""

           return token in self.encoder
       def     UpperCamelCase  (      self,   lowerCamelCase) ->     Union[str, Any]:




           """simple docstring"""

           return "".join(snake_case__)
       def     UpperCamelCase  (      self,   lowerCamelCase) ->     int:




           """simple docstring"""

           return self.encoder.get(snake_case__,   self.encoder.get(self.unk_token))
       def     UpperCamelCase  (      self,   lowerCamelCase) ->     str:




           """simple docstring"""

           return self.decoder.get(snake_case__,   self.unk_token)
       def     UpperCamelCase  (      self,   lowerCamelCase,   lowerCamelCase = None) ->     str:




           """simple docstring"""

           if os.path.isdir(snake_case__):
               _lowercase :							List[str]   	=	os.path.join(
                   snake_case__,   (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'])
           else:
               _lowercase :							int   	=	(filename_prefix + "-" if filename_prefix else "") + save_directory
           _lowercase :							Optional[Any]   	=	0
           if " " in self.encoder:
               _lowercase :							int   	=	self.encoder[" "]
               del self.encoder[" "]
           if "\n" in self.encoder:
               _lowercase :							Any   	=	self.encoder["\n"]
               del self.encoder["\n"]
           _lowercase :							Union[str, Any]   	=	collections.OrderedDict(sorted(self.encoder.items(),   key=lambda lowerCamelCase: x[1]))
           with open(snake_case__,   'w',   encoding='utf-8') as writer:
               for token, token_index in self.encoder.items():
                   if index != token_index:
                       logger.warning(
                           F'''Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive.'''
                           ' Please check that the vocabulary is not corrupted!')
                       _lowercase :							Any   	=	token_index
                   writer.write(token + '\n')
                   index += 1
           return (vocab_file,)
       def     UpperCamelCase  (      self,   lowerCamelCase,   lowerCamelCase = None) ->     Any:




           """simple docstring"""

           if token_ids_a is None:
               return [self.bos_token_id] + token_ids_a
           return [self.bos_token_id] + token_ids_a + [self.bos_token_id] + token_ids_a




       def     UpperCamelCase  (      self,   lowerCamelCase,   lowerCamelCase = None,   lowerCamelCase = False) ->     Optional[Any]:




           """simple docstring"""

           if already_has_special_tokens:
               return super().get_special_tokens_mask(
                   token_ids_a=snake_case__,   token_ids_a=snake_case__,   already_has_special_tokens=snake_case__)

           if token_ids_a is not None:
               return [1] + ([0] * len(snake_case__)) + [1] + ([0] * len(snake_case__))
           return [1] + ([0] * len(snake_case__))






from __future__ import annotations

import requests



def        UpperCamelCase_(   lowerCamelCase_				)					->		dict:
    _lowercase :							Dict   	=	F'''https://hacker-news.firebaseio.com/v0/item/{story_id}.json?print=pretty'''
    return requests.get(lowerCamelCase_				).json()



def        UpperCamelCase_(   lowerCamelCase_ = 10				)					->		list[dict]:
    _lowercase :							Dict   	=	'https://hacker-news.firebaseio.com/v0/topstories.json?print=pretty'
    _lowercase :							Dict   	=	requests.get(lowerCamelCase_				).json()[:max_stories]
    return [get_hackernews_story(lowerCamelCase_				) for story_id in story_ids]



def        UpperCamelCase_(   lowerCamelCase_ = 10				)					->		str:
    _lowercase :							Optional[int]   	=	hackernews_top_stories(lowerCamelCase_				)
    return "\n".join('* [{title}]({url})'.format(**lowerCamelCase_				) for story in stories				)


if __name__ == "__main__":
 print(hackernews_top_stories_as_markdown())


