



'''simple docstring'''
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


_UpperCamelCase							 =	logging.get_logger(__name__)

_UpperCamelCase							 =	{'''vocab_file''': '''vocab.txt'''}

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

_UpperCamelCase							 =	{
    '''openbmb/cpm-ant-10b''': 1024,
}


def      lowercase_		(      lowerCAmelCase__		:     List[str]       ):

			"""simple docstring"""





			__UpperCAmelCase      :					List[str]   =   collections.OrderedDict()
			with open(UpperCamelCase__	,							"""r"""	,							encoding="""utf-8"""       ) as reader:
						__UpperCAmelCase      :					int   =   reader.readlines()
			for index, token in enumerate(UpperCamelCase__       ):
						__UpperCAmelCase      :					int   =   token.rstrip("""\n"""       )
						__UpperCAmelCase      :					Optional[int]   =   index
			return vocab



class _A     (			__A			):





		def __init__(   self       ,				__UpperCAmelCase       ,				__UpperCAmelCase="<unk>"       ,				__UpperCAmelCase=200 )				->   List[str]:

					'''simple docstring'''
					__UpperCAmelCase      :					str   =   vocab
					__UpperCAmelCase      :					Any   =   unk_token
					__UpperCAmelCase      :					Optional[Any]   =   max_input_chars_per_word





		def 							__A				(   self       ,				__UpperCAmelCase )				->   str:

					'''simple docstring'''
					__UpperCAmelCase      :					Dict   =   list(__UpperCAmelCase )
					if len(__UpperCAmelCase ) > self.max_input_chars_per_word:
								return [self.unk_token]

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

					return sub_tokens



class _A     (			__A			):
		_SCREAMING_SNAKE_CASE    :			int  					=	VOCAB_FILES_NAMES
		_SCREAMING_SNAKE_CASE    :			Dict  					=	PRETRAINED_VOCAB_FILES_MAP
		_SCREAMING_SNAKE_CASE    :			Dict  					=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		_SCREAMING_SNAKE_CASE    :			List[str]  					=	['input_ids', 'attention_mask']
		_SCREAMING_SNAKE_CASE    :			str  					=	False





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

					'''simple docstring'''
					requires_backends(self       ,				["""jieba"""] )
					super().__init__(
					    bod_token=__UpperCAmelCase       ,				eod_token=__UpperCAmelCase       ,				bos_token=__UpperCAmelCase       ,				eos_token=__UpperCAmelCase       ,				pad_token=__UpperCAmelCase       ,				unk_token=__UpperCAmelCase       ,				line_token=__UpperCAmelCase       ,				space_token=__UpperCAmelCase       ,				padding_side=__UpperCAmelCase       ,				**__UpperCAmelCase       ,				)
					__UpperCAmelCase      :					List[str]   =   bod_token
					__UpperCAmelCase      :					List[str]   =   eod_token
					__UpperCAmelCase      :					Optional[Any]   =   load_vocab(__UpperCAmelCase )
					__UpperCAmelCase      :					str   =   self.encoder[space_token]
					__UpperCAmelCase      :					Dict   =   self.encoder[line_token]

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

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

					__UpperCAmelCase      :					Any   =   WordpieceTokenizer(vocab=self.encoder       ,				unk_token=self.unk_token )





		@property
		def 							__A				(   self )				->   Optional[int]:

					'''simple docstring'''
					return self.encoder[self.bod_token]





		@property
		def 							__A				(   self )				->   List[Any]:

					'''simple docstring'''
					return self.encoder[self.eod_token]





		@property
		def 							__A				(   self )				->   Optional[int]:

					'''simple docstring'''
					return self.encoder["\n"]





		@property
		def 							__A				(   self )				->   int:

					'''simple docstring'''
					return len(self.encoder )





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

					'''simple docstring'''
					return dict(self.encoder       ,				**self.added_tokens_encoder )





		def 							__A				(   self       ,				__UpperCAmelCase )				->   Optional[Any]:

					'''simple docstring'''
					__UpperCAmelCase      :					List[Any]   =   []
					for x in jieba.cut(__UpperCAmelCase       ,				cut_all=__UpperCAmelCase ):
								output_tokens.extend(self.wordpiece_tokenizer.tokenize(__UpperCAmelCase ) )
					return output_tokens





		def 							__A				(   self       ,				__UpperCAmelCase       ,				**__UpperCAmelCase )				->   Tuple:

					'''simple docstring'''
					__UpperCAmelCase      :					Tuple   =   [i for i in token_ids if i >= 0]
					__UpperCAmelCase      :					Dict   =   [
					    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(__UpperCAmelCase       ,				**__UpperCAmelCase )





		def 							__A				(   self       ,				__UpperCAmelCase )				->   Any:

					'''simple docstring'''
					return token in self.encoder





		def 							__A				(   self       ,				__UpperCAmelCase )				->   str:

					'''simple docstring'''
					return "".join(__UpperCAmelCase )





		def 							__A				(   self       ,				__UpperCAmelCase )				->   Optional[Any]:

					'''simple docstring'''
					return self.encoder.get(__UpperCAmelCase       ,				self.encoder.get(self.unk_token ) )





		def 							__A				(   self       ,				__UpperCAmelCase )				->   Optional[Any]:

					'''simple docstring'''
					return self.decoder.get(__UpperCAmelCase       ,				self.unk_token )





		def 							__A				(   self       ,				__UpperCAmelCase       ,				__UpperCAmelCase = None )				->   Tuple[str]:

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





		def 							__A				(   self       ,				__UpperCAmelCase       ,				__UpperCAmelCase = None )				->   List[int]:

					'''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 							__A				(   self       ,				__UpperCAmelCase       ,				__UpperCAmelCase = None       ,				__UpperCAmelCase = False )				->   List[int]:

					'''simple docstring'''

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

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





"""simple docstring"""




from __future__ import annotations

from typing import Generic, TypeVar

__lowerCamelCase							 =     TypeVar("T")
class 			UpperCamelCase__(	Generic[T]       ):





						def __init__(				self						,__UpperCAmelCase   )    -> None:
													A__		   =							data
													A__		   =							self
													A__		   =							0






class 			UpperCamelCase__(	Generic[T]       ):





						def __init__(				self   )    -> None:
													# map from node name to the node object
													A__		   =							{}





						def  snake_case__		(				self						,__UpperCAmelCase   )    -> None:
													# create a new set with x as its member
													A__		   =							DisjointSetTreeNode(__UpperCAmelCase   )





						def  snake_case__		(				self						,__UpperCAmelCase   )    -> DisjointSetTreeNode[T]:
													# find the set x belongs to (with path-compression)
													A__		   =							self.map[data]
													if elem_ref != elem_ref.parent:
																				A__		   =							self.find_set(elem_ref.parent.data   )
													return elem_ref.parent





						def  snake_case__		(				self						,__UpperCAmelCase						,__UpperCAmelCase   )    -> None:
													# helper function for union operation
													if nodea.rank > nodea.rank:
																				A__		   =							nodea
													else:
																				A__		   =							nodea
																				if nodea.rank == nodea.rank:
																											nodea.rank += 1





						def  snake_case__		(				self						,__UpperCAmelCase						,__UpperCAmelCase   )    -> None:
													# merge 2 disjoint sets
													self.link(self.find_set(__UpperCAmelCase   )						,self.find_set(__UpperCAmelCase   )   )






class 			UpperCamelCase__(	Generic[T]       ):





						def __init__(				self   )    -> None:
													# connections: map from the node to the neighbouring nodes (with weights)
													A__		   =							{}





						def  snake_case__		(				self						,__UpperCAmelCase   )    -> None:
													# add a node ONLY if its not present in the graph
													if node not in self.connections:
																				A__		   =							{}





						def  snake_case__		(				self						,__UpperCAmelCase						,__UpperCAmelCase						,__UpperCAmelCase   )    -> None:
													# add an edge with the given weight
													self.add_node(__UpperCAmelCase   )
													self.add_node(__UpperCAmelCase   )
													A__		   =							weight
													A__		   =							weight





						def  snake_case__		(				self   )    -> GraphUndirectedWeighted[T]:
													A__		   =							[]
													A__		   =							set()
													for start in self.connections:
																				for end in self.connections[start]:
																											if (start, end) not in seen:
																																		seen.add((end, start)   )
																																		edges.append((start, end, self.connections[start][end])   )
													edges.sort(key=lambda __UpperCAmelCase   : x[2]   )

													# creating the disjoint set
													A__		   =							DisjointSetTree[T]()
													for node in self.connections:
																				disjoint_set.make_set(__UpperCAmelCase   )

													# MST generation
													A__		   =							0
													A__		   =							0
													A__		   =							GraphUndirectedWeighted[T]()
													while num_edges < len(self.connections   ) - 1:
																				A__   ,     A__   ,     A__		   =							edges[index]
																				index += 1
																				A__		   =							disjoint_set.find_set(__UpperCAmelCase   )
																				A__		   =							disjoint_set.find_set(__UpperCAmelCase   )
																				if parent_u != parent_v:
																											num_edges += 1
																											graph.add_edge(__UpperCAmelCase						,__UpperCAmelCase						,__UpperCAmelCase   )
																											disjoint_set.union(__UpperCAmelCase						,__UpperCAmelCase   )
													return graph





