


'''simple docstring'''


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

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


lowerCamelCase__     						=  logging.get_logger(__name__)

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

lowerCamelCase__     						=  {
    'vocab_file': {
        'microsoft/biogpt': 'https://huggingface.co/microsoft/biogpt/resolve/main/vocab.json',
    },
    'merges_file': {'microsoft/biogpt': 'https://huggingface.co/microsoft/biogpt/resolve/main/merges.txt'},
}

lowerCamelCase__     						=  {
    'microsoft/biogpt': 1_024,
}






def 			__lowerCAmelCase			(__lowerCAmelCase ):
		_UpperCAmelCase		:							Tuple             =   set()
		_UpperCAmelCase		:							Union[str, Any]             =   word[0]
		for char in word[1:]:
				pairs.add((prev_char, char) )
				_UpperCAmelCase		:							Dict             =   char
		return pairs






class 						lowerCAmelCase__      (      _snake_case						):
			lowerCAmelCase			:						List[Any]							 =  VOCAB_FILES_NAMES
			lowerCAmelCase			:						Any							 =  PRETRAINED_VOCAB_FILES_MAP
			lowerCAmelCase			:						int							 =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			lowerCAmelCase			:						Dict							 =  ['input_ids', 'attention_mask']




			def __init__(		self	:  Tuple						,	lowerCamelCase__	:  int						,	lowerCamelCase__	:  Tuple						,	lowerCamelCase__	:  List[Any]="<unk>"						,	lowerCamelCase__	:  Dict="<s>"						,	lowerCamelCase__	:  Optional[int]="</s>"						,	lowerCamelCase__	:  Tuple="</s>"						,	lowerCamelCase__	:  List[str]="<pad>"						,	**lowerCamelCase__	:  Tuple						,	) ->Optional[Any]:



					'''simple docstring'''







					super().__init__(
					    bos_token=lowercase__						,	eos_token=lowercase__						,	sep_token=lowercase__						,	unk_token=lowercase__						,	pad_token=lowercase__						,	**lowercase__						,	)

					try:
							import sacremoses
					except ImportError:
							raise ImportError(
							    "You need to install sacremoses to use BioGptTokenizer. "
							    "See https://pypi.org/project/sacremoses/ for installation."			)

					_UpperCAmelCase		:							List[Any]             =   "en"
					_UpperCAmelCase		:							List[Any]             =   sacremoses
					# cache of sm.MosesTokenizer instance
					_UpperCAmelCase		:							Optional[Any]             =   {}
					_UpperCAmelCase		:							Optional[Any]             =   {}
					with open(lowercase__						,	encoding="utf-8"			) as vocab_handle:
							_UpperCAmelCase		:							Union[str, Any]             =   json.load(lowercase__			)
					_UpperCAmelCase		:							Any             =   {v: k for k, v in self.encoder.items()}
					with open(lowercase__						,	encoding="utf-8"			) as merges_handle:
							_UpperCAmelCase		:							int             =   merges_handle.read().split("\n"			)[:-1]
					_UpperCAmelCase		:							Optional[Any]             =   [tuple(merge.split()[:2]			) for merge in merges]
					_UpperCAmelCase		:							Union[str, Any]             =   dict(zip(lowercase__						,	range(len(lowercase__			)			)			)			)
					_UpperCAmelCase		:							List[Any]             =   {}




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



					'''simple docstring'''







					return len(self.encoder			)




			def 				lowerCAmelCase__     (		self	:  Union[str, Any]			) ->Optional[int]:



					'''simple docstring'''







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




			def 				lowerCAmelCase__     (		self	:  Optional[int]						,	lowerCamelCase__	:  Tuple						,	lowerCamelCase__	:  Dict			) ->List[str]:



					'''simple docstring'''







					if lang not in self.cache_moses_tokenizer:
							_UpperCAmelCase		:							Dict             =   self.sm.MosesTokenizer(lang=lowercase__			)
							_UpperCAmelCase		:							List[Any]             =   moses_tokenizer
					return self.cache_moses_tokenizer[lang].tokenize(
					    lowercase__						,	aggressive_dash_splits=lowercase__						,	return_str=lowercase__						,	escape=lowercase__			)




			def 				lowerCAmelCase__     (		self	:  Dict						,	lowerCamelCase__	:  Tuple						,	lowerCamelCase__	:  Optional[Any]			) ->Dict:



					'''simple docstring'''







					if lang not in self.cache_moses_detokenizer:
							_UpperCAmelCase		:							Any             =   self.sm.MosesDetokenizer(lang=lowercase__			)
							_UpperCAmelCase		:							Dict             =   moses_detokenizer
					return self.cache_moses_detokenizer[lang].detokenize(lowercase__			)




			def 				lowerCAmelCase__     (		self	:  int						,	lowerCamelCase__	:  str			) ->List[Any]:



					'''simple docstring'''







					_UpperCAmelCase		:							Tuple             =   tuple(token[:-1]			) + (token[-1] + "</w>",)
					if token in self.cache:
							return self.cache[token]
					_UpperCAmelCase		:							Optional[Any]             =   get_pairs(lowercase__			)

					if not pairs:
							return token + "</w>"

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

									if word[i] == first and i < len(lowercase__			) - 1 and word[i + 1] == second:
											new_word.append(first + second			)
											i += 2
									else:
											new_word.append(word[i]			)
											i += 1
							_UpperCAmelCase		:							int             =   tuple(lowercase__			)
							_UpperCAmelCase		:							Dict             =   new_word
							if len(lowercase__			) == 1:
									break
							else:
									_UpperCAmelCase		:							Any             =   get_pairs(lowercase__			)
					_UpperCAmelCase		:							Optional[int]             =   " ".join(lowercase__			)
					if word == "\n  </w>":
							_UpperCAmelCase		:							Optional[Any]             =   "\n</w>"
					_UpperCAmelCase		:							Tuple             =   word
					return word




			def 				lowerCAmelCase__     (		self	:  Optional[int]						,	lowerCamelCase__	:  List[str]						,	lowerCamelCase__	:  Tuple=False			) ->Optional[int]:



					'''simple docstring'''







					if bypass_tokenizer:
							_UpperCAmelCase		:							Any             =   text.split()
					else:
							_UpperCAmelCase		:							Union[str, Any]             =   self.moses_tokenize(lowercase__						,	self.lang			)

					_UpperCAmelCase		:							Optional[int]             =   []
					for token in text:
							if token:
									split_tokens.extend(list(self.bpe(lowercase__			).split(" "			)			)			)

					return split_tokens




			def 				lowerCAmelCase__     (		self	:  Optional[int]						,	lowerCamelCase__	:  Union[str, Any]			) ->Dict:



					'''simple docstring'''







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




			def 				lowerCAmelCase__     (		self	:  Optional[Any]						,	lowerCamelCase__	:  Tuple			) ->List[str]:



					'''simple docstring'''







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




			def 				lowerCAmelCase__     (		self	:  List[str]						,	lowerCamelCase__	:  List[str]			) ->Tuple:



					'''simple docstring'''







					_UpperCAmelCase		:							Union[str, Any]             =   [t.replace(" "						,	""			).replace("</w>"						,	" "			) for t in tokens]
					_UpperCAmelCase		:							Optional[int]             =   "".join(lowercase__			).split()
					# detokenize
					_UpperCAmelCase		:							List[str]             =   self.moses_detokenize(lowercase__						,	self.lang			)
					return text




			def 				lowerCAmelCase__     (		self	:  Tuple						,	lowerCamelCase__	:  List[int]						,	lowerCamelCase__	:  Optional[List[int]] = None			) ->List[int]:



					'''simple docstring'''







					if token_ids_a is None:
							return [self.sep_token_id] + token_ids_a
					_UpperCAmelCase		:							int             =   [self.sep_token_id]
					return sep + token_ids_a + sep + token_ids_a




			def 				lowerCAmelCase__     (		self	:  int						,	lowerCamelCase__	:  List[int]						,	lowerCamelCase__	:  Optional[List[int]] = None						,	lowerCamelCase__	:  bool = False			) ->List[int]:



					'''simple docstring'''







					if already_has_special_tokens:
							return super().get_special_tokens_mask(
							    token_ids_a=lowercase__						,	token_ids_a=lowercase__						,	already_has_special_tokens=lowercase__			)
					# no bos used in fairseq
					if token_ids_a is not None:
							return [1] + ([0] * len(lowercase__			)) + [1] + ([0] * len(lowercase__			))
					return [1] + ([0] * len(lowercase__			))




			def 				lowerCAmelCase__     (		self	:  Optional[Any]						,	lowerCamelCase__	:  List[int]						,	lowerCamelCase__	:  Optional[List[int]] = None			) ->List[int]:



					'''simple docstring'''







					_UpperCAmelCase		:							int             =   [self.sep_token_id]

					# no bos used in fairseq
					if token_ids_a is None:
							return len(token_ids_a + sep			) * [0]
					return len(token_ids_a + sep			) * [0] + len(token_ids_a + sep			) * [1]




			def 				lowerCAmelCase__     (		self	:  Any						,	lowerCamelCase__	:  str						,	lowerCamelCase__	:  Optional[str] = None			) ->Tuple[str]:



					'''simple docstring'''







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

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

					_UpperCAmelCase		:							Optional[Any]             =   0
					with open(lowercase__						,	"w"						,	encoding="utf-8"			) as writer:
							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!"			)
											_UpperCAmelCase		:							List[Any]             =   token_index
									writer.write(" ".join(lowercase__			) + "\n"			)
									index += 1

					return vocab_file, merge_file




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



					'''simple docstring'''







					_UpperCAmelCase		:							List[Any]             =   self.__dict__.copy()
					_UpperCAmelCase		:							str             =   None
					return state






			def __setstate__(		self	:  str						,	lowerCamelCase__	:  Optional[Any]			) ->Optional[int]:



					'''simple docstring'''







					_UpperCAmelCase		:							Tuple             =   d

					try:
							import sacremoses
					except ImportError:
							raise ImportError(
							    "You need to install sacremoses to use XLMTokenizer. "
							    "See https://pypi.org/project/sacremoses/ for installation."			)

					_UpperCAmelCase		:							Optional[Any]             =   sacremoses






'''simple docstring'''







class 					__a   :

						def __init__(		self	:						str    ,			lowercase__	:						List[str])						->List[str]:

							"""simple docstring"""



							_lowercase							=     val
							# Number of nodes in left subtree
							_lowercase							=     0
							_lowercase							=     None
							_lowercase							=     None
							_lowercase							=     None


						def 	_UpperCAmelCase							(		self	:						List[Any]    ,			lowercase__	:						Union[str, Any])						->str:

							"""simple docstring"""



							assert self.left_tree_size == other.left_tree_size, "Unequal Sizes of Blocks"

							if self.val < other.val:
								_lowercase							=     self.right
								_lowercase							=     None
								if self.right:
									_lowercase							=     other
								_lowercase							=     other
								_lowercase							=     self.left_tree_size * 2 + 1
								return self
							else:
								_lowercase							=     other.right
								_lowercase							=     None
								if other.right:
									_lowercase							=     self
								_lowercase							=     self
								_lowercase							=     other.left_tree_size * 2 + 1
								return other






class 					__a   :

						def __init__(		self	:						Optional[Any]    ,			lowercase__	:						List[Any]=None    ,			lowercase__	:						Any=None    ,			lowercase__	:						Any=0)						->Optional[int]:

							"""simple docstring"""



							_lowercase							=     heap_size
							_lowercase							=     bottom_root
							_lowercase							=     min_node

						def 	_UpperCAmelCase							(		self	:						Dict    ,			lowercase__	:						Union[str, Any])						->Any:

							"""simple docstring"""



							if other.size == 0:
								return None
							if self.size == 0:
								_lowercase							=     other.size
								_lowercase							=     other.bottom_root
								_lowercase							=     other.min_node
								return None
							# Update size
							_lowercase							=     self.size + other.size

							# Update min.node
							if self.min_node.val > other.min_node.val:
								_lowercase							=     other.min_node
							# Merge

							# Order roots by left_subtree_size
							_lowercase							=     []
							_lowercase		,		_lowercase							=     self.bottom_root, other.bottom_root
							while i or j:
								if i and ((not j) or i.left_tree_size < j.left_tree_size):
									combined_roots_list.append((i, True))
									_lowercase							=     i.parent
								else:
									combined_roots_list.append((j, False))
									_lowercase							=     j.parent
        # Insert links between them
							for i in range(len(lowercase__) - 1):
								if combined_roots_list[i][1] != combined_roots_list[i + 1][1]:
									_lowercase							=     combined_roots_list[i + 1][0]
									_lowercase							=     combined_roots_list[i][0]
        # Consecutively merge roots with same left_tree_size
							_lowercase							=     combined_roots_list[0][0]
							while i.parent:
								if (
								    (i.left_tree_size == i.parent.left_tree_size) and (not i.parent.parent)
								) or (
								    i.left_tree_size == i.parent.left_tree_size
								    and i.left_tree_size != i.parent.parent.left_tree_size
								):
									# Neighbouring Nodes
									_lowercase							=     i.left
									_lowercase							=     i.parent.parent

									# Merging trees
									_lowercase							=     i.merge_trees(i.parent)

									# Updating links
									_lowercase							=     previous_node
									_lowercase							=     next_node
									if previous_node:
										_lowercase							=     i
									if next_node:
										_lowercase							=     i
								else:
									_lowercase							=     i.parent
        # Updating self.bottom_root
							while i.left:
								_lowercase							=     i.left
							_lowercase							=     i

							# Update other
							_lowercase							=     self.size
							_lowercase							=     self.bottom_root
							_lowercase							=     self.min_node

							# Return the merged heap
							return self

						def 	_UpperCAmelCase							(		self	:						Optional[Any]    ,			lowercase__	:						List[Any])						->List[str]:

							"""simple docstring"""



							if self.size == 0:
								_lowercase							=     Node(lowercase__)
								_lowercase							=     1
								_lowercase							=     self.bottom_root
							else:
								# Create new node
								_lowercase							=     Node(lowercase__)

								# Update size
								self.size += 1

								# update min_node
								if val < self.min_node.val:
									_lowercase							=     new_node
								# Put new_node as a bottom_root in heap
								_lowercase							=     new_node
								_lowercase							=     self.bottom_root
								_lowercase							=     new_node

								# Consecutively merge roots with same left_tree_size
								while (
								    self.bottom_root.parent
								    and self.bottom_root.left_tree_size
								    == self.bottom_root.parent.left_tree_size
								):
									# Next node
									_lowercase							=     self.bottom_root.parent.parent

									# Merge
									_lowercase							=     self.bottom_root.merge_trees(self.bottom_root.parent)

									# Update Links
									_lowercase							=     next_node
									_lowercase							=     None
									if next_node:
										_lowercase							=     self.bottom_root

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

							"""simple docstring"""



							return self.min_node.val

						def 	_UpperCAmelCase							(		self	:						Optional[int])						->Tuple:

							"""simple docstring"""



							return self.size == 0

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

							"""simple docstring"""



							_lowercase							=     self.min_node.val

							# Last element in heap corner case
							if self.size == 1:
								# Update size
								_lowercase							=     0

								# Update bottom root
								_lowercase							=     None

								# Update min_node
								_lowercase							=     None

								return min_value
							# No right subtree corner case
							# The structure of the tree implies that this should be the bottom root
							# and there is at least one other root
							if self.min_node.right is None:
								# Update size
								self.size -= 1

								# Update bottom root
								_lowercase							=     self.bottom_root.parent
								_lowercase							=     None

								# Update min_node
								_lowercase							=     self.bottom_root
								_lowercase							=     self.bottom_root.parent
								while i:
									if i.val < self.min_node.val:
										_lowercase							=     i
									_lowercase							=     i.parent
								return min_value
							# General case
							# Find the BinomialHeap of the right subtree of min_node
							_lowercase							=     self.min_node.right
							_lowercase							=     None
							_lowercase							=     bottom_of_new
							_lowercase							=     1

							# Size, min_node and bottom_root
							while bottom_of_new.left:
								_lowercase							=     size_of_new * 2 + 1
								_lowercase							=     bottom_of_new.left
								if bottom_of_new.val < min_of_new.val:
									_lowercase							=     bottom_of_new
        # Corner case of single root on top left path
							if (not self.min_node.left) and (not self.min_node.parent):
								_lowercase							=     size_of_new
								_lowercase							=     bottom_of_new
								_lowercase							=     min_of_new
								# print("Single root, multiple nodes case")
								return min_value
							# Remaining cases
							# Construct heap of right subtree
							_lowercase							=     BinomialHeap(
							    bottom_root=lowercase__    ,			min_node=lowercase__    ,			heap_size=lowercase__)

							# Update size
							_lowercase							=     self.size - 1 - size_of_new

							# Neighbour nodes
							_lowercase							=     self.min_node.left
							_lowercase							=     self.min_node.parent

							# Initialize new bottom_root and min_node
							_lowercase							=     previous_node or next_node
							_lowercase							=     next_node

							# Update links of previous_node and search below for new min_node and
							# bottom_root
							if previous_node:
								_lowercase							=     next_node

								# Update bottom_root and search for min_node below
								_lowercase							=     previous_node
								_lowercase							=     previous_node
								while self.bottom_root.left:
									_lowercase							=     self.bottom_root.left
									if self.bottom_root.val < self.min_node.val:
										_lowercase							=     self.bottom_root
							if next_node:
								_lowercase							=     previous_node

								# Search for new min_node above min_node
								_lowercase							=     next_node
								while i:
									if i.val < self.min_node.val:
										_lowercase							=     i
									_lowercase							=     i.parent
        # Merge heaps
							self.merge_heaps(lowercase__)

							return min_value

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

							"""simple docstring"""



							_lowercase							=     self.bottom_root
							while top_root.parent:
								_lowercase							=     top_root.parent
							# preorder
							_lowercase							=     []
							self.__traversal(lowercase__    ,			lowercase__)
							return heap_pre_order

						def 	_UpperCAmelCase							(		self	:						Dict    ,			lowercase__	:						Union[str, Any]    ,			lowercase__	:						List[Any]    ,			lowercase__	:						Optional[int]=0)						->int:

							"""simple docstring"""



							if curr_node:
								preorder.append((curr_node.val, level))
								self.__traversal(curr_node.left    ,			lowercase__    ,			level + 1)
								self.__traversal(curr_node.right    ,			lowercase__    ,			level + 1)
							else:
								preorder.append(("""#""", level))


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

							"""simple docstring"""



							if self.is_empty():
								return ""
							_lowercase							=     self.pre_order()

							return "\n".join(("""-""" * level + str(lowercase__)) for value, level in preorder_heap)


# Unit Tests
if __name__ == "__main__":
							import doctest

							doctest.testmod()




