



"""simple docstring"""






from __future__ import annotations

from collections.abc import Iterable

class 			__SCREAMING_SNAKE_CASE      :


					'''simple docstring'''





					def __init__(			self				:    int,    lowerCamelCase				:    Tuple,    lowerCamelCase				:    Any	)->   List[Any]:
								lowerCamelCase__      ,  lowerCamelCase__						:						Tuple						      =float(lowerCamelCase	), float(lowerCamelCase	)



					def __eq__(			self				:    Dict,    lowerCamelCase				:    List[Any]	)->   Dict:
								return self.x == other.x and self.y == other.y



					def __ne__(			self				:    Optional[int],    lowerCamelCase				:    str	)->   Tuple:
								return not self == other



					def __gt__(			self				:    Optional[Any],    lowerCamelCase				:    Optional[int]	)->   Tuple:
								if self.x > other.x:
											return True
								elif self.x == other.x:
											return self.y > other.y
								return False



					def __lt__(			self				:    Union[str, Any],    lowerCamelCase				:    str	)->   str:
								return not self > other



					def __ge__(			self				:    Union[str, Any],    lowerCamelCase				:    Optional[Any]	)->   Any:
								if self.x > other.x:
											return True
								elif self.x == other.x:
											return self.y >= other.y
								return False



					def __le__(			self				:    Union[str, Any],    lowerCamelCase				:    Union[str, Any]	)->   int:
								if self.x < other.x:
											return True
								elif self.x == other.x:
											return self.y <= other.y
								return False



					def __repr__(			self				:    Optional[int]	)->   Optional[Any]:
								return F'''({self.x}, {self.y})'''




					def __hash__(			self				:    int	)->   Union[str, Any]:
								return hash(self.x	)






def 	snake_case__  (						__lowerCamelCase							:       list[Point] | list[list[float]] | Iterable[list[float]]				,						):
			"""simple docstring"""
			lowerCamelCase__						:						list[Point]						      =[]
			if list_of_tuples:
						for p in list_of_tuples:
									if isinstance(__lowerCamelCase				,						__lowerCamelCase      ):
												points.append(__lowerCamelCase      )
									else:
												try:
															points.append(Point(p[0]				,						p[1]      )      )
												except (IndexError, TypeError):
															print(
															    f'''Ignoring deformed point {p}. All points'''
															    ''' must have at least 2 coordinates.'''      )
			return points






def 	snake_case__  (						__lowerCamelCase							:       list[Point] | list[list[float]]      ):
			"""simple docstring"""

			if not hasattr(__lowerCamelCase				,						'''__iter__'''      ):
						lowerCamelCase__						:						Union[str, Any]						      =f'''Expecting an iterable object but got an non-iterable type {points}'''
						raise ValueError(__lowerCamelCase      )

			if not points:
						lowerCamelCase__						:						Any						      =f'''Expecting a list of points but got {points}'''
						raise ValueError(__lowerCamelCase      )

			return _construct_points(__lowerCamelCase      )






def 	snake_case__  (						__lowerCamelCase							:       Point				,						__lowerCamelCase							:       Point				,						__lowerCamelCase							:       Point      ):
			"""simple docstring"""
			lowerCamelCase__						:						List[Any]						      =(a.x * b.y + b.x * c.y + c.x * a.y) - (a.y * b.x + b.y * c.x + c.y * a.x)
			return det






def 	snake_case__  (						__lowerCamelCase							:       list[Point]      ):
			"""simple docstring"""
			lowerCamelCase__						:						List[Any]						      =sorted(_validate_input(__lowerCamelCase      )      )
			lowerCamelCase__						:						List[Any]						      =len(__lowerCamelCase      )
			lowerCamelCase__						:						Union[str, Any]						      =set()

			for i in range(n - 1      ):
						for j in range(i + 1				,						__lowerCamelCase      ):
									lowerCamelCase__						:						Dict						      =False
									lowerCamelCase__						:						Optional[int]						      =True
									for k in range(__lowerCamelCase      ):
												if k != i and k != j:
															lowerCamelCase__						:						Dict						      =_det(points[i]				,						points[j]				,						points[k]      )

															if det_k > 0:
																		lowerCamelCase__						:						Optional[Any]						      =True
															elif det_k < 0:
																		lowerCamelCase__						:						Union[str, Any]						      =True
															else:
																		# point[i], point[j], point[k] all lie on a straight line
																		# if point[k] is to the left of point[i] or it's to the
																		# right of point[j], then point[i], point[j] cannot be
																		# part of the convex hull of A
																		if points[k] < points[i] or points[k] > points[j]:
																					lowerCamelCase__						:						List[str]						      =False
																					break

												if points_left_of_ij and points_right_of_ij:
															lowerCamelCase__						:						Tuple						      =False
															break

									if ij_part_of_convex_hull:
												convex_set.update([points[i], points[j]]      )

			return sorted(__lowerCamelCase      )






def 	snake_case__  (						__lowerCamelCase							:       list[Point]      ):
			"""simple docstring"""
			lowerCamelCase__						:						str						      =sorted(_validate_input(__lowerCamelCase      )      )
			lowerCamelCase__						:						List[Any]						      =len(__lowerCamelCase      )

			# divide all the points into an upper hull and a lower hull
			# the left most point and the right most point are definitely
			# members of the convex hull by definition.
			# use these two anchors to divide all the points into two hulls,
			# an upper hull and a lower hull.

			# all points to the left (above) the line joining the extreme points belong to the
			# upper hull
			# all points to the right (below) the line joining the extreme points below to the
			# lower hull
			# ignore all points on the line joining the extreme points since they cannot be
			# part of the convex hull

			lowerCamelCase__						:						Dict						      =points[0]
			lowerCamelCase__						:						Union[str, Any]						      =points[n - 1]

			lowerCamelCase__						:						Dict						      ={left_most_point, right_most_point}
			lowerCamelCase__						:						Optional[Any]						      =[]
			lowerCamelCase__						:						List[Any]						      =[]

			for i in range(1				,						n - 1      ):
						lowerCamelCase__						:						Union[str, Any]						      =_det(__lowerCamelCase				,						__lowerCamelCase				,						points[i]      )

						if det > 0:
									upper_hull.append(points[i]      )
						elif det < 0:
									lower_hull.append(points[i]      )

			_construct_hull(__lowerCamelCase				,						__lowerCamelCase				,						__lowerCamelCase				,						__lowerCamelCase      )
			_construct_hull(__lowerCamelCase				,						__lowerCamelCase				,						__lowerCamelCase				,						__lowerCamelCase      )

			return sorted(__lowerCamelCase      )






def 	snake_case__  (						__lowerCamelCase							:       list[Point]				,						__lowerCamelCase							:       Point				,						__lowerCamelCase							:       Point				,						__lowerCamelCase							:       set[Point]      ):
			"""simple docstring"""
			if points:
						lowerCamelCase__						:						str						      =None
						lowerCamelCase__						:						Union[str, Any]						      =float('''-inf'''      )
						lowerCamelCase__						:						Optional[Any]						      =[]

						for p in points:
									lowerCamelCase__						:						Any						      =_det(__lowerCamelCase				,						__lowerCamelCase				,						__lowerCamelCase      )

									if det > 0:
												candidate_points.append(__lowerCamelCase      )

												if det > extreme_point_distance:
															lowerCamelCase__						:						Union[str, Any]						      =det
															lowerCamelCase__						:						Union[str, Any]						      =p

						if extreme_point:
									_construct_hull(__lowerCamelCase				,						__lowerCamelCase				,						__lowerCamelCase				,						__lowerCamelCase      )
									convex_set.add(__lowerCamelCase      )
									_construct_hull(__lowerCamelCase				,						__lowerCamelCase				,						__lowerCamelCase				,						__lowerCamelCase      )






def 	snake_case__  (						__lowerCamelCase							:       list[Point]      ):
			"""simple docstring"""
			lowerCamelCase__						:						Dict						      =sorted(_validate_input(__lowerCamelCase      )      )
			lowerCamelCase__						:						str						      =len(__lowerCamelCase      )

			lowerCamelCase__						:						Union[str, Any]						      =points[:2]
			for i in range(2				,						__lowerCamelCase      ):
						lowerCamelCase__						:						str						      =_det(convex_hull[1]				,						convex_hull[0]				,						points[i]      )
						if det > 0:
									convex_hull.insert(0				,						points[i]      )
									break
						elif det < 0:
									convex_hull.append(points[i]      )
									break
						else:
									lowerCamelCase__						:						Any						      =points[i]
			i += 1

			for j in range(__lowerCamelCase				,						__lowerCamelCase      ):
						if (
						    _det(convex_hull[0]				,						convex_hull[-1]				,						points[j]      ) > 0
						    and _det(convex_hull[-1]				,						convex_hull[0]				,						points[1]      ) < 0
						):
									# The point lies within the convex hull
									continue

						convex_hull.insert(0				,						points[j]      )
						convex_hull.append(points[j]      )
						while _det(convex_hull[0]				,						convex_hull[1]				,						convex_hull[2]      ) >= 0:
									del convex_hull[1]
						while _det(convex_hull[-1]				,						convex_hull[-2]				,						convex_hull[-3]      ) <= 0:
									del convex_hull[-2]

    # `convex_hull` is contains the convex hull in circular order
			return sorted(convex_hull[1:] if len(__lowerCamelCase      ) > 3 else convex_hull      )






def 	snake_case__  (						):
			"""simple docstring"""
			lowerCamelCase__						:						List[str]						      =[
			    (0, 3),
			    (2, 2),
			    (1, 1),
			    (2, 1),
			    (3, 0),
			    (0, 0),
			    (3, 3),
			    (2, -1),
			    (2, -4),
			    (1, -3),
			]
			# the convex set of points is
			# [(0, 0), (0, 3), (1, -3), (2, -4), (3, 0), (3, 3)]
			lowerCamelCase__						:						Optional[int]						      =convex_hull_bf(__lowerCamelCase      )

			lowerCamelCase__						:						Any						      =convex_hull_recursive(__lowerCamelCase      )
			assert results_bf == results_recursive

			lowerCamelCase__						:						int						      =convex_hull_melkman(__lowerCamelCase      )
			assert results_bf == results_melkman

			print(__lowerCamelCase      )


if __name__ == "__main__":
		main()







import json
import os
from functools import lru_cache
from typing import TYPE_CHECKING, List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
	from transformers.pipelines.conversational import Conversation

__A	:   Any	=					logging.get_logger(__name__)

__A	:   Union[str, Any]	=					{
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
}

__A	:   Optional[int]	=					{
    'vocab_file': {
        'gpt2': 'https://huggingface.co/gpt2/resolve/main/vocab.json',
        'gpt2-medium': 'https://huggingface.co/gpt2-medium/resolve/main/vocab.json',
        'gpt2-large': 'https://huggingface.co/gpt2-large/resolve/main/vocab.json',
        'gpt2-xl': 'https://huggingface.co/gpt2-xl/resolve/main/vocab.json',
        'distilgpt2': 'https://huggingface.co/distilgpt2/resolve/main/vocab.json',
    },
    'merges_file': {
        'gpt2': 'https://huggingface.co/gpt2/resolve/main/merges.txt',
        'gpt2-medium': 'https://huggingface.co/gpt2-medium/resolve/main/merges.txt',
        'gpt2-large': 'https://huggingface.co/gpt2-large/resolve/main/merges.txt',
        'gpt2-xl': 'https://huggingface.co/gpt2-xl/resolve/main/merges.txt',
        'distilgpt2': 'https://huggingface.co/distilgpt2/resolve/main/merges.txt',
    },
}

__A	:   Optional[Any]	=					{
    'gpt2': 10_24,
    'gpt2-medium': 10_24,
    'gpt2-large': 10_24,
    'gpt2-xl': 10_24,
    'distilgpt2': 10_24,
}




@lru_cache()
def        __UpperCamelCase     (      )				->int:



							"""simple docstring"""
							lowerCamelCase_								=(
							    list(range(ord("""!"""		)      ,  ord("""~"""		) + 1		)		) + list(range(ord("""¡"""		)      ,  ord("""¬"""		) + 1		)		) + list(range(ord("""®"""		)      ,  ord("""ÿ"""		) + 1		)		)
							)
							lowerCamelCase_								=bs[:]
							lowerCamelCase_								=0
							for b in range(2**8		):
														if b not in bs:
																					bs.append(_A		)
																					cs.append(2**8 + n		)
																					n += 1
							lowerCamelCase_								=[chr(_A		) for n in cs]
							return dict(zip(_A      ,  _A		)		)




def        __UpperCamelCase     (      _A					:							Optional[int]		)				->Optional[int]:



							"""simple docstring"""
							lowerCamelCase_								=set()
							lowerCamelCase_								=word[0]
							for char in word[1:]:
														pairs.add((prev_char, char)		)
														lowerCamelCase_								=char
							return pairs






class 			_SCREAMING_SNAKE_CASE      (  lowerCAmelCase__):
						_UpperCamelCase:Any	=		VOCAB_FILES_NAMES
						_UpperCamelCase:Any	=		PRETRAINED_VOCAB_FILES_MAP
						_UpperCamelCase:Optional[int]	=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						_UpperCamelCase:List[str]	=		["input_ids", "attention_mask"]







						def __init__(			self     ,						_SCREAMING_SNAKE_CASE     ,						_SCREAMING_SNAKE_CASE     ,						_SCREAMING_SNAKE_CASE="replace"     ,						_SCREAMING_SNAKE_CASE="<|endoftext|>"     ,						_SCREAMING_SNAKE_CASE="<|endoftext|>"     ,						_SCREAMING_SNAKE_CASE="<|endoftext|>"     ,						_SCREAMING_SNAKE_CASE=None     ,						_SCREAMING_SNAKE_CASE=False     ,						_SCREAMING_SNAKE_CASE=False     ,						**_SCREAMING_SNAKE_CASE     ,						)->							Optional[Any]:
													lowerCamelCase_								=AddedToken(_SCREAMING_SNAKE_CASE     ,						lstrip=_SCREAMING_SNAKE_CASE     ,						rstrip=_SCREAMING_SNAKE_CASE							) if isinstance(_SCREAMING_SNAKE_CASE     ,						_SCREAMING_SNAKE_CASE							) else bos_token
													lowerCamelCase_								=AddedToken(_SCREAMING_SNAKE_CASE     ,						lstrip=_SCREAMING_SNAKE_CASE     ,						rstrip=_SCREAMING_SNAKE_CASE							) if isinstance(_SCREAMING_SNAKE_CASE     ,						_SCREAMING_SNAKE_CASE							) else eos_token
													lowerCamelCase_								=AddedToken(_SCREAMING_SNAKE_CASE     ,						lstrip=_SCREAMING_SNAKE_CASE     ,						rstrip=_SCREAMING_SNAKE_CASE							) if isinstance(_SCREAMING_SNAKE_CASE     ,						_SCREAMING_SNAKE_CASE							) else unk_token
													lowerCamelCase_								=AddedToken(_SCREAMING_SNAKE_CASE     ,						lstrip=_SCREAMING_SNAKE_CASE     ,						rstrip=_SCREAMING_SNAKE_CASE							) if isinstance(_SCREAMING_SNAKE_CASE     ,						_SCREAMING_SNAKE_CASE							) else pad_token
													super().__init__(
													    errors=_SCREAMING_SNAKE_CASE     ,						unk_token=_SCREAMING_SNAKE_CASE     ,						bos_token=_SCREAMING_SNAKE_CASE     ,						eos_token=_SCREAMING_SNAKE_CASE     ,						pad_token=_SCREAMING_SNAKE_CASE     ,						add_prefix_space=_SCREAMING_SNAKE_CASE     ,						add_bos_token=_SCREAMING_SNAKE_CASE     ,						**_SCREAMING_SNAKE_CASE     ,						)
													lowerCamelCase_								=add_bos_token

													with open(_SCREAMING_SNAKE_CASE     ,						encoding="""utf-8"""							) as vocab_handle:
																				lowerCamelCase_								=json.load(_SCREAMING_SNAKE_CASE							)
													lowerCamelCase_								={v: k for k, v in self.encoder.items()}
													lowerCamelCase_								=errors  # how to handle errors in decoding
													lowerCamelCase_								=bytes_to_unicode()
													lowerCamelCase_								={v: k for k, v in self.byte_encoder.items()}
													with open(_SCREAMING_SNAKE_CASE     ,						encoding="""utf-8"""							) as merges_handle:
																				lowerCamelCase_								=merges_handle.read().split("""\n"""							)[1:-1]
													lowerCamelCase_								=[tuple(merge.split()							) for merge in bpe_merges]
													lowerCamelCase_								=dict(zip(_SCREAMING_SNAKE_CASE     ,						range(len(_SCREAMING_SNAKE_CASE							)							)							)							)
													lowerCamelCase_								={}
													lowerCamelCase_								=add_prefix_space

													# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
													lowerCamelCase_								=re.compile(R"""'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+"""							)







						@property
						def        _snake_case				(			self							)->							str:
													return len(self.encoder							)







						def        _snake_case				(			self							)->							Optional[Any]:
													return dict(self.encoder     ,						**self.added_tokens_encoder							)







						def        _snake_case				(			self     ,						_SCREAMING_SNAKE_CASE							)->							int:
													if token in self.cache:
																				return self.cache[token]
													lowerCamelCase_								=tuple(_SCREAMING_SNAKE_CASE							)
													lowerCamelCase_								=get_pairs(_SCREAMING_SNAKE_CASE							)

													if not pairs:
																				return token

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

																											if word[i] == first and i < len(_SCREAMING_SNAKE_CASE							) - 1 and word[i + 1] == second:
																																		new_word.append(first + second							)
																																		i += 2
																											else:
																																		new_word.append(word[i]							)
																																		i += 1
																				lowerCamelCase_								=tuple(_SCREAMING_SNAKE_CASE							)
																				lowerCamelCase_								=new_word
																				if len(_SCREAMING_SNAKE_CASE							) == 1:
																											break
																				else:
																											lowerCamelCase_								=get_pairs(_SCREAMING_SNAKE_CASE							)
													lowerCamelCase_								=""" """.join(_SCREAMING_SNAKE_CASE							)
													lowerCamelCase_								=word
													return word







						def        _snake_case				(			self     ,						_SCREAMING_SNAKE_CASE     ,						_SCREAMING_SNAKE_CASE=None							)->							Any:
													if self.add_bos_token:
																				lowerCamelCase_								=[self.bos_token_id]
													else:
																				lowerCamelCase_								=[]

													lowerCamelCase_								=bos_token_ids + token_ids_a

													if token_ids_a is None:
																				return output

													return output + bos_token_ids + token_ids_a







						def        _snake_case				(			self     ,						_SCREAMING_SNAKE_CASE     ,						_SCREAMING_SNAKE_CASE = None     ,						_SCREAMING_SNAKE_CASE = False							)->							List[int]:
													if already_has_special_tokens:
																				return super().get_special_tokens_mask(
																				    token_ids_a=_SCREAMING_SNAKE_CASE     ,						token_ids_a=_SCREAMING_SNAKE_CASE     ,						already_has_special_tokens=_SCREAMING_SNAKE_CASE							)

													if not self.add_bos_token:
																				return super().get_special_tokens_mask(
																				    token_ids_a=_SCREAMING_SNAKE_CASE     ,						token_ids_a=_SCREAMING_SNAKE_CASE     ,						already_has_special_tokens=_SCREAMING_SNAKE_CASE							)

													if token_ids_a is None:
																				return [1] + ([0] * len(_SCREAMING_SNAKE_CASE							))
													return [1] + ([0] * len(_SCREAMING_SNAKE_CASE							)) + [1] + ([0] * len(_SCREAMING_SNAKE_CASE							))







						def        _snake_case				(			self     ,						_SCREAMING_SNAKE_CASE							)->							Any:
													lowerCamelCase_								=[]
													for token in re.findall(self.pat     ,						_SCREAMING_SNAKE_CASE							):
																				lowerCamelCase_								="""""".join(
																				    self.byte_encoder[b] for b in token.encode("""utf-8"""							)							)  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
																				bpe_tokens.extend(bpe_token for bpe_token in self.bpe(_SCREAMING_SNAKE_CASE							).split(""" """							)							)
													return bpe_tokens







						def        _snake_case				(			self     ,						_SCREAMING_SNAKE_CASE							)->							List[str]:
													return self.encoder.get(_SCREAMING_SNAKE_CASE     ,						self.encoder.get(self.unk_token							)							)







						def        _snake_case				(			self     ,						_SCREAMING_SNAKE_CASE							)->							int:
													return self.decoder.get(_SCREAMING_SNAKE_CASE							)







						def        _snake_case				(			self     ,						_SCREAMING_SNAKE_CASE							)->							int:
													lowerCamelCase_								="""""".join(_SCREAMING_SNAKE_CASE							)
													lowerCamelCase_								=bytearray([self.byte_decoder[c] for c in text]							).decode("""utf-8"""     ,						errors=self.errors							)
													return text







						def        _snake_case				(			self     ,						_SCREAMING_SNAKE_CASE     ,						_SCREAMING_SNAKE_CASE = None							)->							Tuple[str]:
													if not os.path.isdir(_SCREAMING_SNAKE_CASE							):
																				logger.error(f'Vocabulary path ({save_directory}) should be a directory'							)
																				return
													lowerCamelCase_								=os.path.join(
													    _SCREAMING_SNAKE_CASE     ,						(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]							)
													lowerCamelCase_								=os.path.join(
													    _SCREAMING_SNAKE_CASE     ,						(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]							)

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

													lowerCamelCase_								=0
													with open(_SCREAMING_SNAKE_CASE     ,						"""w"""     ,						encoding="""utf-8"""							) as writer:
																				writer.write("""#version: 0.2\n"""							)
																				for bpe_tokens, token_index in sorted(self.bpe_ranks.items()     ,						key=lambda _SCREAMING_SNAKE_CASE							: 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!"""							)
																																		lowerCamelCase_								=token_index
																											writer.write(""" """.join(_SCREAMING_SNAKE_CASE							) + """\n"""							)
																											index += 1

													return vocab_file, merge_file







						def        _snake_case				(			self     ,						_SCREAMING_SNAKE_CASE     ,						_SCREAMING_SNAKE_CASE=False     ,						**_SCREAMING_SNAKE_CASE							)->							Optional[Any]:
													lowerCamelCase_								=kwargs.pop("""add_prefix_space"""     ,						self.add_prefix_space							)
													if is_split_into_words or add_prefix_space:
																				lowerCamelCase_								=""" """ + text
													return (text, kwargs)







						def        _snake_case				(			self     ,						_SCREAMING_SNAKE_CASE							)->							List[int]:
													lowerCamelCase_								=[]
													for is_user, text in conversation.iter_texts():
																				input_ids.extend(self.encode(_SCREAMING_SNAKE_CASE     ,						add_special_tokens=_SCREAMING_SNAKE_CASE							) + [self.eos_token_id]							)
													if len(_SCREAMING_SNAKE_CASE							) > self.model_max_length:
																				lowerCamelCase_								=input_ids[-self.model_max_length :]
													return input_ids
