


"""simple docstring"""

import os
import re
from shutil import copyfile
from typing import List, Optional, Tuple

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


UpperCAmelCase__  							=logging.get_logger(__name__)

UpperCAmelCase__  							={
    "vocab_file": "vocab.txt",
    "merges_file": "bpe.codes",
}

UpperCAmelCase__  							={
    "vocab_file": {
        "vinai/phobert-base": "https://huggingface.co/vinai/phobert-base/resolve/main/vocab.txt",
        "vinai/phobert-large": "https://huggingface.co/vinai/phobert-large/resolve/main/vocab.txt",
    },
    "merges_file": {
        "vinai/phobert-base": "https://huggingface.co/vinai/phobert-base/resolve/main/bpe.codes",
        "vinai/phobert-large": "https://huggingface.co/vinai/phobert-large/resolve/main/bpe.codes",
    },
}

UpperCAmelCase__  							={
    "vinai/phobert-base": 256,
    "vinai/phobert-large": 256,
}


def lowerCAmelCase_      (				UpperCamelCase__	: Any ):






 """simple docstring"""







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

 __lowercase									=	set(UpperCamelCase__ )
 return pairs





class    lowerCamelCase__						(		_a    ):
      a :     str											=		VOCAB_FILES_NAMES
      a :     Optional[Any]											=		PRETRAINED_VOCAB_FILES_MAP
      a :     Union[str, Any]											=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      def __init__(		self	:	Optional[int]      ,       A_	:	Tuple      ,       A_	:	Dict      ,       A_	:	Union[str, Any]="<s>"      ,       A_	:	List[str]="</s>"      ,       A_	:	Optional[int]="</s>"      ,       A_	:	List[str]="<s>"      ,       A_	:	Tuple="<unk>"      ,       A_	:	List[Any]="<pad>"      ,       A_	:	Dict="<mask>"      ,       **A_	:	List[Any]      ,       ):






       '''simple docstring'''


       super().__init__(
           bos_token=A_      ,       eos_token=A_      ,       unk_token=A_      ,       sep_token=A_      ,       cls_token=A_      ,       pad_token=A_      ,       mask_token=A_      ,       **A_      ,       )

       __lowercase									=	vocab_file
       __lowercase									=	merges_file

       __lowercase									=	{}
       __lowercase									=	0
       __lowercase									=	1
       __lowercase									=	2
       __lowercase									=	3

       self.add_from_file(A_							)

       __lowercase									=	{v: k for k, v in self.encoder.items()}

       with open(A_      ,       encoding="""utf-8"""							) as merges_handle:
        __lowercase									=	merges_handle.read().split("""\n"""							)[:-1]
       __lowercase									=	[tuple(merge.split()[:-1]							) for merge in merges]
       __lowercase									=	dict(zip(A_      ,       range(len(A_							)							)							)							)
       __lowercase									=	{}
      def SCREAMING_SNAKE_CASE_	(		self	:	List[str]      ,       A_	:	List[int]      ,       A_	:	Optional[List[int]] = None							):






       '''simple docstring'''


       if token_ids_a is None:
        return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
       __lowercase									=	[self.cls_token_id]
       __lowercase									=	[self.sep_token_id]
       return cls + token_ids_a + sep + sep + token_ids_a + sep
      def SCREAMING_SNAKE_CASE_	(		self	:	List[Any]      ,       A_	:	List[int]      ,       A_	:	Optional[List[int]] = None      ,       A_	:	bool = False							):






       '''simple docstring'''


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

       if token_ids_a is None:
        return [1] + ([0] * len(A_							)) + [1]
       return [1] + ([0] * len(A_							)) + [1, 1] + ([0] * len(A_							)) + [1]
      def SCREAMING_SNAKE_CASE_	(		self	:	List[str]      ,       A_	:	List[int]      ,       A_	:	Optional[List[int]] = None							):






       '''simple docstring'''


       __lowercase									=	[self.sep_token_id]
       __lowercase									=	[self.cls_token_id]

       if token_ids_a is None:
        return len(cls + token_ids_a + sep							) * [0]
       return len(cls + token_ids_a + sep + sep + token_ids_a + sep							) * [0]
      @property
      def SCREAMING_SNAKE_CASE_	(		self	:	Optional[Any]							):






       '''simple docstring'''


       return len(self.encoder							)
      def SCREAMING_SNAKE_CASE_	(		self	:	Any							):






       '''simple docstring'''


       return dict(self.encoder      ,       **self.added_tokens_encoder							)
      def SCREAMING_SNAKE_CASE_	(		self	:	List[str]      ,       A_	:	Union[str, Any]							):






       '''simple docstring'''


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

       if not pairs:
        return token

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

         if word[i] == first and i < len(A_							) - 1 and word[i + 1] == second:
          new_word.append(first + second							)
          i += 2
         else:
          new_word.append(word[i]							)
          i += 1
        __lowercase									=	tuple(A_							)
        __lowercase									=	new_word
        if len(A_							) == 1:
         break
        else:
         __lowercase									=	get_pairs(A_							)
       __lowercase									=	"""@@ """.join(A_							)
       __lowercase									=	word[:-4]
       __lowercase									=	word
       return word
      def SCREAMING_SNAKE_CASE_	(		self	:	List[Any]      ,       A_	:	Any							):






       '''simple docstring'''


       __lowercase									=	[]

       __lowercase									=	re.findall(r"""\S+\n?"""      ,       A_							)

       for token in words:
        split_tokens.extend(list(self.bpe(A_							).split(""" """							)							)							)
       return split_tokens
      def SCREAMING_SNAKE_CASE_	(		self	:	str      ,       A_	:	int							):






       '''simple docstring'''


       return self.encoder.get(A_      ,       self.encoder.get(self.unk_token							)							)
      def SCREAMING_SNAKE_CASE_	(		self	:	Dict      ,       A_	:	int							):






       '''simple docstring'''


       return self.decoder.get(A_      ,       self.unk_token							)
      def SCREAMING_SNAKE_CASE_	(		self	:	Union[str, Any]      ,       A_	:	Any							):






       '''simple docstring'''


       __lowercase									=	""" """.join(A_							).replace("""@@ """      ,       """"""							).strip()
       return out_string
      def SCREAMING_SNAKE_CASE_	(		self	:	str      ,       A_	:	str      ,       A_	:	Optional[str] = None							):






       '''simple docstring'''


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

       if os.path.abspath(self.vocab_file							) != os.path.abspath(A_							):
        copyfile(self.vocab_file      ,       A_							)

       if os.path.abspath(self.merges_file							) != os.path.abspath(A_							):
        copyfile(self.merges_file      ,       A_							)

       return out_vocab_file, out_merge_file






      def SCREAMING_SNAKE_CASE_	(		self	:	Any      ,       A_	:	Optional[int]							):






       '''simple docstring'''


       if isinstance(A_      ,       A_							):
        try:
         with open(A_      ,       """r"""      ,       encoding="""utf-8"""							) as fd:
          self.add_from_file(A_							)
        except FileNotFoundError as fnfe:
         raise fnfe
        except UnicodeError:
         raise Exception(F'''Incorrect encoding detected in {f}, please rebuild the dataset'''							)
        return

       __lowercase									=	f.readlines()
       for lineTmp in lines:
        __lowercase									=	lineTmp.strip()
        __lowercase									=	line.rfind(""" """							)
        if idx == -1:
         raise ValueError("""Incorrect dictionary format, expected '<token> <cnt>'"""							)
        __lowercase									=	line[:idx]
        __lowercase									=	len(self.encoder							)




"""simple docstring"""

from collections.abc import Callable

import numpy as np


def lowerCAmelCase_      (				UpperCamelCase__	: Callable				,   UpperCamelCase__	: float				,   UpperCamelCase__	: float				,   UpperCamelCase__	: float				,   UpperCamelCase__	: float ):






 """simple docstring"""







 __lowercase									=	int(np.ceil((x_end - xa) / step_size ) )
 __lowercase									=	np.zeros((n + 1,) )
 __lowercase									=	ya
 __lowercase									=	xa

 for k in range(UpperCamelCase__ ):
  __lowercase									=	y[k] + step_size * ode_func(UpperCamelCase__				,   y[k] )
  x += step_size

 return y


if __name__ == "__main__":
       import doctest

       doctest.testmod()
