


import bza
import gzip
import lzma
import os
import shutil
import struct
import tarfile
import warnings
import zipfile
from abc import ABC, abstractmethod
from pathlib import Path
from typing import Dict, List, Optional, Type, Union

from .. import config
from .filelock import FileLock
from .logging import get_logger


lowerCamelCase : Dict						   =       get_logger(__name__)

class 		lowerCAmelCase     :

					'''simple docstring'''

					def __init__(  self				:	Union[str, Any]		,     __a				:	Optional[str] = None							)			->  Any:


												"""simple docstring"""

												__lowercase      :							Any				=     (
												    os.path.join(__a		,     config.EXTRACTED_DATASETS_DIR							) if cache_dir else config.EXTRACTED_DATASETS_PATH
												)
												__lowercase      :							Dict				=     Extractor



					def       lowerCAmelCase				(  self				:	int		,     __a				:	str							)			->  str:


												"""simple docstring"""

												from .file_utils import hash_url_to_filename

												# Path where we extract compressed archives
												# We extract in the cache dir, and get the extracted path name by hashing the original path"
												__lowercase      :							Union[str, Any]				=     os.path.abspath(__a							)
												return os.path.join(self.extract_dir		,     hash_url_to_filename(__a							)							)



					def       lowerCAmelCase				(  self				:	List[Any]		,     __a				:	str		,     __a				:	bool							)			->  bool:


												"""simple docstring"""

												return force_extract or (
												    not os.path.isfile(__a							) and not (os.path.isdir(__a							) and os.listdir(__a							))
												)



					def       lowerCAmelCase				(  self				:	List[str]		,     __a				:	str		,     __a				:	bool = False							)			->  str:


												"""simple docstring"""

												__lowercase      :							Optional[int]				=     self.extractor.infer_extractor_format(__a							)
												if not extractor_format:
																			return input_path
												__lowercase      :							int				=     self._get_output_path(__a							)
												if self._do_extract(__a		,     __a							):
																			self.extractor.extract(__a		,     __a		,     __a							)
												return output_path







class 		lowerCAmelCase     ( UpperCAmelCase__			):

					'''simple docstring'''

					@classmethod
					@abstractmethod
					def       lowerCAmelCase				(  cls				:	Any		,     __a				:	Union[Path, str]		,     **__a				:	List[Any]							)			->  bool:


												"""simple docstring"""

												...



					@staticmethod
					@abstractmethod
					def       lowerCAmelCase				(  __a				:	Union[Path, str]		,     __a				:	Union[Path, str]							)			->  None:


												"""simple docstring"""

												...







class 		lowerCAmelCase     ( UpperCAmelCase__      ,       UpperCAmelCase__			):

					'''simple docstring'''

					_A						:			List[bytes]									=      []



					@staticmethod
					def       lowerCAmelCase				(  __a				:	Union[Path, str]		,     __a				:	int							)			->  Dict:


												"""simple docstring"""

												with open(__a		,     """rb"""							) as f:
																			return f.read(__a							)



					@classmethod
					def       lowerCAmelCase				(  cls				:	Tuple		,     __a				:	Union[Path, str]		,     __a				:	bytes = b""							)			->  bool:


												"""simple docstring"""

												if not magic_number:
																			__lowercase      :							str				=     max(len(__a							) for cls_magic_number in cls.magic_numbers							)
																			try:
																										__lowercase      :							Any				=     cls.read_magic_number(__a		,     __a							)
																			except OSError:
																										return False
												return any(magic_number.startswith(__a							) for cls_magic_number in cls.magic_numbers							)







class 		lowerCAmelCase     ( UpperCAmelCase__			):

					'''simple docstring'''

					@classmethod
					def       lowerCAmelCase				(  cls				:	str		,     __a				:	Union[Path, str]		,     **__a				:	Optional[Any]							)			->  bool:


												"""simple docstring"""

												return tarfile.is_tarfile(__a							)



					@staticmethod
					def       lowerCAmelCase				(  __a				:	Optional[Any]		,     __a				:	int							)			->  Union[str, Any]:


												"""simple docstring"""

												def resolved(__a				:	str							) -> str:
																			return os.path.realpath(os.path.abspath(__a							)							)

												def badpath(__a				:	str		,     __a				:	str							) -> bool:
																			# joinpath will ignore base if path is absolute
																			return not resolved(os.path.join(__a		,     __a							)							).startswith(__a							)

												def badlink(__a				:	List[Any]		,     __a				:	str							) -> bool:
																			# Links are interpreted relative to the directory containing the link
																			__lowercase      :							str				=     resolved(os.path.join(__a		,     os.path.dirname(info.name							)							)							)
																			return badpath(info.linkname		,     base=__a							)

												__lowercase      :							Dict				=     resolved(__a							)

												for finfo in members:
																			if badpath(finfo.name		,     __a							):
																										logger.error(F"Extraction of {finfo.name} is blocked (illegal path)"							)
																			elif finfo.issym() and badlink(__a		,     __a							):
																										logger.error(F"Extraction of {finfo.name} is blocked: Symlink to {finfo.linkname}"							)
																			elif finfo.islnk() and badlink(__a		,     __a							):
																										logger.error(F"Extraction of {finfo.name} is blocked: Hard link to {finfo.linkname}"							)
																			else:
																										yield finfo



					@staticmethod
					def       lowerCAmelCase				(  __a				:	Union[Path, str]		,     __a				:	Union[Path, str]							)			->  None:


												"""simple docstring"""

												os.makedirs(__a		,     exist_ok=__a							)
												__lowercase      :							Optional[int]				=     tarfile.open(__a							)
												tar_file.extractall(__a		,     members=TarExtractor.safemembers(__a		,     __a							)							)
												tar_file.close()







class 		lowerCAmelCase     ( UpperCAmelCase__			):

					'''simple docstring'''

					_A						:			str									=      [B'\x1F\x8B']



					@staticmethod
					def       lowerCAmelCase				(  __a				:	Union[Path, str]		,     __a				:	Union[Path, str]							)			->  None:


												"""simple docstring"""

												with gzip.open(__a		,     """rb"""							) as gzip_file:
																			with open(__a		,     """wb"""							) as extracted_file:
																										shutil.copyfileobj(__a		,     __a							)







class 		lowerCAmelCase     ( UpperCAmelCase__			):

					'''simple docstring'''

					_A						:			Dict									=      [
					    B'PK\x03\x04',
					    B'PK\x05\x06',  # empty archive
					    B'PK\x07\x08',  # spanned archive
					]



					@classmethod
					def       lowerCAmelCase				(  cls				:	List[Any]		,     __a				:	Union[Path, str]		,     __a				:	bytes = b""							)			->  bool:


												"""simple docstring"""

												if super().is_extractable(__a		,     magic_number=__a							):
																			return True
												try:
																			# Alternative version of zipfile.is_zipfile that has less false positives, but misses executable zip archives.
																			# From: https://github.com/python/cpython/pull/5053
																			from zipfile import (
																			    _CD_SIGNATURE,
																			    _ECD_DISK_NUMBER,
																			    _ECD_DISK_START,
																			    _ECD_ENTRIES_TOTAL,
																			    _ECD_OFFSET,
																			    _ECD_SIZE,
																			    _EndRecData,
																			    sizeCentralDir,
																			    stringCentralDir,
																			    structCentralDir,
																			)

																			with open(__a		,     """rb"""							) as fp:
																										__lowercase      :							int				=     _EndRecData(__a							)
																										if endrec:
																																	if endrec[_ECD_ENTRIES_TOTAL] == 0 and endrec[_ECD_SIZE] == 0 and endrec[_ECD_OFFSET] == 0:
																																								return True  # Empty zipfiles are still zipfiles
																																	elif endrec[_ECD_DISK_NUMBER] == endrec[_ECD_DISK_START]:
																																								fp.seek(endrec[_ECD_OFFSET]							)  # Central directory is on the same disk
																																								if fp.tell() == endrec[_ECD_OFFSET] and endrec[_ECD_SIZE] >= sizeCentralDir:
																																															__lowercase      :							List[Any]				=     fp.read(__a							)  # CD is where we expect it to be
																																															if len(__a							) == sizeCentralDir:
																																																						__lowercase      :							Tuple				=     struct.unpack(__a		,     __a							)  # CD is the right size
																																																						if centdir[_CD_SIGNATURE] == stringCentralDir:
																																																													return True  # First central directory entry  has correct magic number
																			return False
												except Exception:  # catch all errors in case future python versions change the zipfile internals
																			return False



					@staticmethod
					def       lowerCAmelCase				(  __a				:	Union[Path, str]		,     __a				:	Union[Path, str]							)			->  None:


												"""simple docstring"""

												os.makedirs(__a		,     exist_ok=__a							)
												with zipfile.ZipFile(__a		,     """r"""							) as zip_file:
																			zip_file.extractall(__a							)
																			zip_file.close()







class 		lowerCAmelCase     ( UpperCAmelCase__			):

					'''simple docstring'''

					_A						:			List[Any]									=      [B'\xFD\x37\x7A\x58\x5A\x00']



					@staticmethod
					def       lowerCAmelCase				(  __a				:	Union[Path, str]		,     __a				:	Union[Path, str]							)			->  None:


												"""simple docstring"""

												with lzma.open(__a							) as compressed_file:
																			with open(__a		,     """wb"""							) as extracted_file:
																										shutil.copyfileobj(__a		,     __a							)







class 		lowerCAmelCase     ( UpperCAmelCase__			):

					'''simple docstring'''

					_A						:			List[str]									=      [B'Rar!\x1a\x07\x00', B'Rar!\x1a\x07\x01\x00']  # RAR_ID  # RAR5_ID



					@staticmethod
					def       lowerCAmelCase				(  __a				:	Union[Path, str]		,     __a				:	Union[Path, str]							)			->  None:


												"""simple docstring"""

												if not config.RARFILE_AVAILABLE:
																			raise ImportError("""Please pip install rarfile"""							)
												import rarfile

												os.makedirs(__a		,     exist_ok=__a							)
												__lowercase      :							Dict				=     rarfile.RarFile(__a							)
												rf.extractall(__a							)
												rf.close()







class 		lowerCAmelCase     ( UpperCAmelCase__			):

					'''simple docstring'''

					_A						:			List[str]									=      [B'\x28\xb5\x2F\xFD']



					@staticmethod
					def       lowerCAmelCase				(  __a				:	Union[Path, str]		,     __a				:	Union[Path, str]							)			->  None:


												"""simple docstring"""

												if not config.ZSTANDARD_AVAILABLE:
																			raise ImportError("""Please pip install zstandard"""							)
												import zstandard as zstd

												__lowercase      :							int				=     zstd.ZstdDecompressor()
												with open(__a		,     """rb"""							) as ifh, open(__a		,     """wb"""							) as ofh:
																			dctx.copy_stream(__a		,     __a							)







class 		lowerCAmelCase     ( UpperCAmelCase__			):

					'''simple docstring'''

					_A						:			int									=      [B'\x42\x5A\x68']



					@staticmethod
					def       lowerCAmelCase				(  __a				:	Union[Path, str]		,     __a				:	Union[Path, str]							)			->  None:


												"""simple docstring"""

												with bza.open(__a		,     """rb"""							) as compressed_file:
																			with open(__a		,     """wb"""							) as extracted_file:
																										shutil.copyfileobj(__a		,     __a							)







class 		lowerCAmelCase     ( UpperCAmelCase__			):

					'''simple docstring'''

					_A						:			int									=      [B'\x37\x7A\xBC\xAF\x27\x1C']



					@staticmethod
					def       lowerCAmelCase				(  __a				:	Union[Path, str]		,     __a				:	Union[Path, str]							)			->  None:


												"""simple docstring"""

												if not config.PY7ZR_AVAILABLE:
																			raise ImportError("""Please pip install py7zr"""							)
												import pyazr

												os.makedirs(__a		,     exist_ok=__a							)
												with pyazr.SevenZipFile(__a		,     """r"""							) as archive:
																			archive.extractall(__a							)







class 		lowerCAmelCase     ( UpperCAmelCase__			):

					'''simple docstring'''

					_A						:			Optional[int]									=      [B'\x04\x22\x4D\x18']



					@staticmethod
					def       lowerCAmelCase				(  __a				:	Union[Path, str]		,     __a				:	Union[Path, str]							)			->  None:


												"""simple docstring"""

												if not config.LZ4_AVAILABLE:
																			raise ImportError("""Please pip install lz4"""							)
												import lza.frame

												with lza.frame.open(__a		,     """rb"""							) as compressed_file:
																			with open(__a		,     """wb"""							) as extracted_file:
																										shutil.copyfileobj(__a		,     __a							)







class 		lowerCAmelCase     :

					'''simple docstring'''

					_A						:			Dict[str, Type[BaseExtractor]]									=      {
					    "tar": TarExtractor,
					    "gzip": GzipExtractor,
					    "zip": ZipExtractor,
					    "xz": XzExtractor,
					    "rar": RarExtractor,
					    "zstd": ZstdExtractor,
					    "bz2": BzipaExtractor,
					    "7z": SevenZipExtractor,  # <Added version="2.4.0"/>
					    "lz4": LzaExtractor,  # <Added version="2.4.0"/>
					}



					@classmethod
					def       lowerCAmelCase				(  cls				:	List[Any]							)			->  Optional[int]:


												"""simple docstring"""

												return max(
												    len(__a							)
												    for extractor in cls.extractors.values()
												    if issubclass(__a		,     __a							)
												    for extractor_magic_number in extractor.magic_numbers							)



					@staticmethod
					def       lowerCAmelCase				(  __a				:	Union[Path, str]		,     __a				:	int							)			->  Tuple:


												"""simple docstring"""

												try:
																			return MagicNumberBaseExtractor.read_magic_number(__a		,     magic_number_length=__a							)
												except OSError:
																			return b""



					@classmethod
					def       lowerCAmelCase				(  cls				:	str		,     __a				:	Union[Path, str]		,     __a				:	bool = False							)			->  bool:


												"""simple docstring"""

												warnings.warn(
												    """Method 'is_extractable' was deprecated in version 2.4.0 and will be removed in 3.0.0. """
												    """Use 'infer_extractor_format' instead."""		,     category=__a		,     )
												__lowercase      :							Union[str, Any]				=     cls.infer_extractor_format(__a							)
												if extractor_format:
																			return True if not return_extractor else (True, cls.extractors[extractor_format])
												return False if not return_extractor else (False, None)



					@classmethod
					def       lowerCAmelCase				(  cls				:	Any		,     __a				:	Union[Path, str]							)			->  str:  # <Added version="2.4.0"/>


												"""simple docstring"""

												__lowercase      :							Dict				=     cls._get_magic_number_max_length()
												__lowercase      :							Optional[Any]				=     cls._read_magic_number(__a		,     __a							)
												for extractor_format, extractor in cls.extractors.items():
																			if extractor.is_extractable(__a		,     magic_number=__a							):
																										return extractor_format



					@classmethod
					def       lowerCAmelCase				(  cls				:	List[Any]		,     __a				:	Union[Path, str]		,     __a				:	Union[Path, str]		,     __a				:	Optional[str] = None		,     __a				:	Optional[BaseExtractor] = "deprecated"		,     )			->  None:


												"""simple docstring"""

												os.makedirs(os.path.dirname(__a							)		,     exist_ok=__a							)
												# Prevent parallel extractions
												__lowercase      :							Dict				=     str(Path(__a							).with_suffix(""".lock"""							)							)
												with FileLock(__a							):
																			shutil.rmtree(__a		,     ignore_errors=__a							)
																			if extractor_format or extractor != "deprecated":
																										if extractor != "deprecated" or not isinstance(__a		,     __a							):  # passed as positional arg
																																	warnings.warn(
																																	    """Parameter 'extractor' was deprecated in version 2.4.0 and will be removed in 3.0.0. """
																																	    """Use 'extractor_format' instead."""		,     category=__a		,     )
																																	__lowercase      :							Any				=     extractor if extractor != """deprecated""" else extractor_format
																										else:
																																	__lowercase      :							Any				=     cls.extractors[extractor_format]
																										return extractor.extract(__a		,     __a							)
																			else:
																										warnings.warn(
																										    """Parameter 'extractor_format' was made required in version 2.4.0 and not passing it will raise an """
																										    """exception in 3.0.0."""		,     category=__a		,     )
																										for extractor in cls.extractors.values():
																																	if extractor.is_extractable(__a							):
																																								return extractor.extract(__a		,     __a							)







import uuid
from typing import Any, Dict, List, Optional, Union

from ..utils import add_end_docstrings, is_tf_available, is_torch_available, logging
from .base import PIPELINE_INIT_ARGS, Pipeline


if is_tf_available():
	import tensorflow as tf

if is_torch_available():
	import torch


lowerCamelCase : List[Any]						   =       logging.get_logger(__name__)

class 		lowerCAmelCase     :

					'''simple docstring'''

					def __init__(  self				:	List[str]		,     __a				:	str = None		,     __a				:	uuid.UUID = None		,     __a				:	Any=None		,     __a				:	List[Any]=None							)			->  List[Any]:


												"""simple docstring"""

												if not conversation_id:
																			__lowercase      :							Any				=     uuid.uuida()
												if past_user_inputs is None:
																			__lowercase      :							Dict				=     []
												if generated_responses is None:
																			__lowercase      :							Dict				=     []

												__lowercase      :							uuid.UUID				=     conversation_id
												__lowercase      :							List[str]				=     past_user_inputs
												__lowercase      :							List[str]				=     generated_responses
												__lowercase      :							Optional[str]				=     text



					def __eq__(  self				:	Dict		,     __a				:	Dict							)			->  Any:


												"""simple docstring"""

												if not isinstance(__a		,     __a							):
																			return False
												if self.uuid == other.uuid:
																			return True
												return (
												    self.new_user_input == other.new_user_input
												    and self.past_user_inputs == other.past_user_inputs
												    and self.generated_responses == other.generated_responses
												)



					def       lowerCAmelCase				(  self				:	List[str]		,     __a				:	str		,     __a				:	bool = False							)			->  Dict:


												"""simple docstring"""

												if self.new_user_input:
																			if overwrite:
																										logger.warning(
																										    F"User input added while unprocessed input was existing: \"{self.new_user_input}\" was overwritten "
																										    F"with: \"{text}\"."							)
																										__lowercase      :							Optional[int]				=     text
																			else:
																										logger.warning(
																										    F"User input added while unprocessed input was existing: \"{self.new_user_input}\" new input "
																										    F"ignored: \"{text}\". Set `overwrite` to True to overwrite unprocessed user input"							)
												else:
																			__lowercase      :							Dict				=     text



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


												"""simple docstring"""

												if self.new_user_input:
																			self.past_user_inputs.append(self.new_user_input							)
												__lowercase      :							Dict				=     None



					def       lowerCAmelCase				(  self				:	Optional[int]		,     __a				:	str							)			->  List[Any]:


												"""simple docstring"""

												self.generated_responses.append(__a							)



					def       lowerCAmelCase				(  self				:	Any							)			->  Optional[Any]:


												"""simple docstring"""

												for user_input, generated_response in zip(self.past_user_inputs		,     self.generated_responses							):
																			yield True, user_input
																			yield False, generated_response
												if self.new_user_input:
																			yield True, self.new_user_input



					def __repr__(  self				:	int							)			->  str:


												"""simple docstring"""

												__lowercase      :							Optional[int]				=     F"Conversation id: {self.uuid} \n"
												for is_user, text in self.iter_texts():
																			__lowercase      :							Optional[Any]				=     """user""" if is_user else """bot"""
																			output += F"{name} >> {text} \n"
												return output







@add_end_docstrings(
    __a      ,       r'''
        min_length_for_response (`int`, *optional*, defaults to 32):
            The minimum length (in number of tokens) for a response.
        minimum_tokens (`int`, *optional*, defaults to 10):
            The minimum length of tokens to leave for a response.
    '''      ,       )
class 		lowerCAmelCase     ( __a			):

					'''simple docstring'''

					def __init__(  self				:	Any		,     *__a				:	int		,     **__a				:	str							)			->  Union[str, Any]:


												"""simple docstring"""

												super().__init__(*__a		,     **__a							)
												if self.tokenizer.pad_token_id is None:
																			__lowercase      :							List[Any]				=     self.tokenizer.eos_token



					def       lowerCAmelCase				(  self				:	Union[str, Any]		,     __a				:	int=None		,     __a				:	Tuple=None		,     __a				:	Any=None		,     **__a				:	List[str]							)			->  Optional[int]:


												"""simple docstring"""

												__lowercase      :							List[str]				=     {}
												__lowercase      :							Tuple				=     {}
												__lowercase      :							List[str]				=     {}

												if min_length_for_response is not None:
																			__lowercase      :							Dict				=     min_length_for_response
												if minimum_tokens is not None:
																			__lowercase      :							Union[str, Any]				=     minimum_tokens

												if "max_length" in generate_kwargs:
																			__lowercase      :							Union[str, Any]				=     generate_kwargs["""max_length"""]
																			# self.max_length = generate_kwargs.get("max_length", self.model.config.max_length)
												if clean_up_tokenization_spaces is not None:
																			__lowercase      :							Union[str, Any]				=     clean_up_tokenization_spaces

												if generate_kwargs:
																			forward_params.update(__a							)
												return preprocess_params, forward_params, postprocess_params



					def __call__(  self				:	Optional[int]		,     __a				:	Union[Conversation, List[Conversation]]		,     __a				:	Dict=0		,     **__a				:	List[Any]							)			->  Tuple:


												"""simple docstring"""

												__lowercase      :							List[Any]				=     super().__call__(__a		,     num_workers=__a		,     **__a							)
												if isinstance(__a		,     __a							) and len(__a							) == 1:
																			return outputs[0]
												return outputs



					def       lowerCAmelCase				(  self				:	Union[str, Any]		,     __a				:	Conversation		,     __a				:	Tuple=32							)			->  Dict[str, Any]:


												"""simple docstring"""

												if not isinstance(__a		,     __a							):
																			raise ValueError("""ConversationalPipeline, expects Conversation as inputs"""							)
												if conversation.new_user_input is None:
																			raise ValueError(
																			    F"Conversation with UUID {type(conversation.uuid							)} does not contain new user input to process. "
																			    """Add user inputs with the conversation's `add_user_input` method"""							)
												if hasattr(self.tokenizer		,     """_build_conversation_input_ids"""							):
																			__lowercase      :							List[Any]				=     self.tokenizer._build_conversation_input_ids(__a							)
												else:
																			# If the tokenizer cannot handle conversations, we default to only the old version
																			__lowercase      :							Tuple				=     self._legacy_parse_and_tokenize(__a							)

												if self.framework == "pt":
																			__lowercase      :							List[Any]				=     torch.LongTensor([input_ids]							)
												elif self.framework == "tf":
																			__lowercase      :							List[str]				=     tf.constant([input_ids]							)
												return {"input_ids": input_ids, "conversation": conversation}



					def       lowerCAmelCase				(  self				:	Any		,     __a				:	Dict		,     __a				:	Any=10		,     **__a				:	Dict							)			->  Optional[Any]:


												"""simple docstring"""

												__lowercase      :							Optional[int]				=     generate_kwargs.get("""max_length"""		,     self.model.config.max_length							)

												__lowercase      :							List[Any]				=     model_inputs["""input_ids"""].shape[1]
												if max_length - minimum_tokens < n:
																			logger.warning(F"Conversation input is to long ({n}), trimming it to ({max_length} - {minimum_tokens})"							)
																			__lowercase      :							Any				=     max_length - minimum_tokens
																			__lowercase      :							int				=     model_inputs["""input_ids"""][:, -trim:]
																			if "attention_mask" in model_inputs:
																										__lowercase      :							Dict				=     model_inputs["""attention_mask"""][:, -trim:]
												__lowercase      :							Union[str, Any]				=     model_inputs.pop("""conversation"""							)
												__lowercase      :							Tuple				=     max_length
												__lowercase      :							int				=     self.model.generate(**__a		,     **__a							)
												if self.model.config.is_encoder_decoder:
																			__lowercase      :							Optional[int]				=     1
												else:
																			__lowercase      :							str				=     n
												return {"output_ids": output_ids[:, start_position:], "conversation": conversation}



					def       lowerCAmelCase				(  self				:	int		,     __a				:	Tuple		,     __a				:	List[Any]=True							)			->  List[str]:


												"""simple docstring"""

												__lowercase      :							int				=     model_outputs["""output_ids"""]
												__lowercase      :							Union[str, Any]				=     self.tokenizer.decode(
												    output_ids[0]		,     skip_special_tokens=__a		,     clean_up_tokenization_spaces=__a		,     )
												__lowercase      :							List[str]				=     model_outputs["""conversation"""]
												conversation.mark_processed()
												conversation.append_response(__a							)
												return conversation



					def       lowerCAmelCase				(  self				:	int		,     __a				:	Conversation							)			->  Dict:


												"""simple docstring"""

												__lowercase      :							Optional[int]				=     self.tokenizer.eos_token_id
												__lowercase      :							Optional[Any]				=     []
												for is_user, text in conversation.iter_texts():
																			if eos_token_id is not None:
																										input_ids.extend(self.tokenizer.encode(__a		,     add_special_tokens=__a							) + [eos_token_id]							)
																			else:
																										input_ids.extend(self.tokenizer.encode(__a		,     add_special_tokens=__a							)							)

												if len(__a							) > self.tokenizer.model_max_length:
																			__lowercase      :							List[Any]				=     input_ids[-self.tokenizer.model_max_length :]
												return input_ids