


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


_snake_case             =     logging.get_logger(__name__)

_snake_case             =     {"""vocab_file""": """vocab.txt"""}

_snake_case             =     {
    """vocab_file""": {
        """openbmb/cpm-ant-10b""": """https://huggingface.co/openbmb/cpm-ant-10b/blob/main/vocab.txt""",
    },
}

_snake_case             =     {
    """openbmb/cpm-ant-10b""": 10_24,
}






def 		lowercase_(  SCREAMING_SNAKE_CASE_	):


  '''simple docstring'''

  lowerCamelCase :					Dict    =				collections.OrderedDict()
  with open(SCREAMING_SNAKE_CASE_      ,						"r"      ,						encoding="utf-8"	) as reader:
    lowerCamelCase :					Any    =				reader.readlines()
  for index, token in enumerate(SCREAMING_SNAKE_CASE_	):
    lowerCamelCase :					List[str]    =				token.rstrip("\n"	)
    lowerCamelCase :					int    =				index
  return vocab
class 	UpperCAmelCase_					(					_UpperCAmelCase    ):

   '''simple docstring'''




   def __init__(		self						,				__A						,				__A="<unk>"						,				__A=200 ):






     """simple docstring"""





     lowerCamelCase :					Optional[Any]    =				vocab
     lowerCamelCase :					Dict    =				unk_token
     lowerCamelCase :					Union[str, Any]    =				max_input_chars_per_word






   def _snake_case    (		self						,				__A ):






     """simple docstring"""





     lowerCamelCase :					int    =				list(lowerCAmelCase__ )
     if len(lowerCAmelCase__ ) > self.max_input_chars_per_word:
       return [self.unk_token]

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

     return sub_tokens



class 	UpperCAmelCase_					(					_UpperCAmelCase    ):

   '''simple docstring'''




   __A :      Optional[Any]     		=		VOCAB_FILES_NAMES
   __A :      Any     		=		PRETRAINED_VOCAB_FILES_MAP
   __A :      Tuple     		=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __A :      Optional[int]     		=		['''input_ids''', '''attention_mask''']
   __A :      Optional[int]     		=		False






   def __init__(		self						,				__A						,				__A="<d>"						,				__A="</d>"						,				__A="<s>"						,				__A="</s>"						,				__A="<pad>"						,				__A="<unk>"						,				__A="</n>"						,				__A="</_>"						,				__A="left"						,				**__A						,				):






     """simple docstring"""





     requires_backends(self						,				["jieba"] )
     super().__init__(
         bod_token=lowerCAmelCase__						,				eod_token=lowerCAmelCase__						,				bos_token=lowerCAmelCase__						,				eos_token=lowerCAmelCase__						,				pad_token=lowerCAmelCase__						,				unk_token=lowerCAmelCase__						,				line_token=lowerCAmelCase__						,				space_token=lowerCAmelCase__						,				padding_side=lowerCAmelCase__						,				**lowerCAmelCase__						,				)
     lowerCamelCase :					int    =				bod_token
     lowerCamelCase :					Optional[Any]    =				eod_token
     lowerCamelCase :					List[Any]    =				load_vocab(lowerCAmelCase__ )
     lowerCamelCase :					List[str]    =				self.encoder[space_token]
     lowerCamelCase :					Optional[Any]    =				self.encoder[line_token]

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

     lowerCamelCase :					int    =				collections.OrderedDict(sorted(self.encoder.items()						,				key=lambda __A : x[1] ) )
     lowerCamelCase :					Tuple    =				{v: k for k, v in self.encoder.items()}

     lowerCamelCase :					int    =				WordpieceTokenizer(vocab=self.encoder						,				unk_token=self.unk_token )






   @property
   def _snake_case    (		self ):






     """simple docstring"""





     return self.encoder[self.bod_token]






   @property
   def _snake_case    (		self ):






     """simple docstring"""





     return self.encoder[self.eod_token]






   @property
   def _snake_case    (		self ):






     """simple docstring"""





     return self.encoder["\n"]






   @property
   def _snake_case    (		self ):






     """simple docstring"""





     return len(self.encoder )






   def _snake_case    (		self ):






     """simple docstring"""





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






   def _snake_case    (		self						,				__A ):






     """simple docstring"""





     lowerCamelCase :					Optional[Any]    =				[]
     for x in jieba.cut(lowerCAmelCase__						,				cut_all=lowerCAmelCase__ ):
       output_tokens.extend(self.wordpiece_tokenizer.tokenize(lowerCAmelCase__ ) )
     return output_tokens






   def _snake_case    (		self						,				__A						,				**__A ):






     """simple docstring"""





     lowerCamelCase :					Dict    =				[i for i in token_ids if i >= 0]
     lowerCamelCase :					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(lowerCAmelCase__						,				**lowerCAmelCase__ )






   def _snake_case    (		self						,				__A ):






     """simple docstring"""





     return token in self.encoder






   def _snake_case    (		self						,				__A ):






     """simple docstring"""





     return "".join(lowerCAmelCase__ )






   def _snake_case    (		self						,				__A ):






     """simple docstring"""





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






   def _snake_case    (		self						,				__A ):






     """simple docstring"""





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






   def _snake_case    (		self						,				__A						,				__A = None ):






     """simple docstring"""





     if os.path.isdir(lowerCAmelCase__ ):
       lowerCamelCase :					Any    =				os.path.join(
           lowerCAmelCase__						,				(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"] )
     else:
       lowerCamelCase :					Dict    =				(filename_prefix + "-" if filename_prefix else "") + save_directory
     lowerCamelCase :					Optional[int]    =				0
     if " " in self.encoder:
       lowerCamelCase :					Tuple    =				self.encoder[" "]
       del self.encoder[" "]
     if "\n" in self.encoder:
       lowerCamelCase :					Union[str, Any]    =				self.encoder["\n"]
       del self.encoder["\n"]
     lowerCamelCase :					Tuple    =				collections.OrderedDict(sorted(self.encoder.items()						,				key=lambda __A : x[1] ) )
     with open(lowerCAmelCase__						,				"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!" )
           lowerCamelCase :					Tuple    =				token_index
         writer.write(token + "\n" )
         index += 1
     return (vocab_file,)






   def _snake_case    (		self						,				__A						,				__A = None ):






     """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 _snake_case    (		self						,				__A						,				__A = None						,				__A = False ):






     """simple docstring"""





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

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




import requests





def 				UpperCAmelCase						(    lowercase							,			lowercase							):







				"""simple docstring"""



				__lowercase 			=							{'''Content-Type''': '''application/json'''}
				__lowercase 			=							requests.post(lowercase							,			json={'''text''': message_body}							,			headers=lowercase							)
				if response.status_code != 200:
								__lowercase 			=							(
								    '''Request to slack returned an error '''
								    F"{response.status_code}, the response is:\n{response.text}"
								)
								raise ValueError(lowercase							)


if __name__ == "__main__":
		# Set the slack url to the one provided by Slack when you create the webhook at
		# https://my.slack.com/services/new/incoming-webhook/
		send_slack_message("""<YOUR MESSAGE BODY>""", """<SLACK CHANNEL URL>""")