




import argparse
import json
import os
import sys
import tempfile
import unittest
from argparse import Namespace
from dataclasses import dataclass, field
from enum import Enum
from pathlib import Path
from typing import List, Literal, Optional

import yaml

from transformers import HfArgumentParser, TrainingArguments
from transformers.hf_argparser import make_choice_type_function, string_to_bool


# Since Python 3.10, we can use the builtin `|` operator for Union types
# See PEP 604: https://peps.python.org/pep-0604
A      = sys.version_info >= (3, 10)





def __UpperCAmelCase       (		__A=None ,						__A=None			)						->					str:



       '''simple docstring'''





       return field(default_factory=lambda: default ,						metadata=__A			)


@dataclass
class     lowercase__  :
  A__=  42
  A__=  42
  A__=  42
  A__=  42




@dataclass
class     lowercase__  :
  A__=  42
  A__=  field(default='toto'					,							metadata={'help': 'help message'}		)




@dataclass
class     lowercase__  :
  A__=  False
  A__=  True
  A__=  None




class     lowercase__  (					__lowerCAmelCase		):
  A__=  "titi"
  A__=  "toto"




class     lowercase__  (					__lowerCAmelCase		):
  A__=  "titi"
  A__=  "toto"
  A__=  42




@dataclass
class     lowercase__  :
  A__=  "toto"






  def 			_UpperCAmelCase  (					self      :					Optional[int] ):




         """simple docstring"""







         UpperCAmelCase__										=     BasicEnum(self.foo )




@dataclass
class     lowercase__  :
  A__=  "toto"






  def 			_UpperCAmelCase  (					self      :					str ):




         """simple docstring"""







         UpperCAmelCase__										=     MixedTypeEnum(self.foo )




@dataclass
class     lowercase__  :
  A__=  None
  A__=  field(default=__lowerCAmelCase					,							metadata={'help': 'help message'}		)
  A__=  None
  A__=  list_field(default=[]		)
  A__=  list_field(default=[]		)




@dataclass
class     lowercase__  :
  A__=  list_field(default=[]		)
  A__=  list_field(default=[1, 2, 3]		)
  A__=  list_field(default=['Hallo', 'Bonjour', 'Hello']		)
  A__=  list_field(default=[0.1, 0.2, 0.3]		)




@dataclass
class     lowercase__  :
  A__=  field()
  A__=  field()
  A__=  field()






  def 			_UpperCAmelCase  (					self      :					Any ):




         """simple docstring"""







         UpperCAmelCase__										=     BasicEnum(self.required_enum )




@dataclass
class     lowercase__  :
  A__=  42
  A__=  field()
  A__=  None
  A__=  field(default='toto'					,							metadata={'help': 'help message'}		)
  A__=  list_field(default=['Hallo', 'Bonjour', 'Hello']		)


if is_python_no_less_than_3_10:


    @dataclass
    class     lowercase__  :
      A__=  False
      A__=  True
      A__=  None




    @dataclass
    class     lowercase__  :
      A__=  None
      A__=  field(default=__lowerCAmelCase					,							metadata={'help': 'help message'}		)
      A__=  None
      A__=  list_field(default=[]		)
      A__=  list_field(default=[]		)




class     lowercase__  (					unittest.TestCase		):






  def 			_UpperCAmelCase  (					self      :					Dict		,						_lowercase      :					argparse.ArgumentParser		,						_lowercase      :					argparse.ArgumentParser ):




         """simple docstring"""







         self.assertEqual(len(a._actions )		,						len(b._actions ) )
         for x, y in zip(a._actions		,						b._actions ):
                UpperCAmelCase__										=     {k: v for k, v in vars(lowerCamelCase__ ).items() if k != '''container'''}
                UpperCAmelCase__										=     {k: v for k, v in vars(lowerCamelCase__ ).items() if k != '''container'''}

                # Choices with mixed type have custom function as "type"
                # So we need to compare results directly for equality
                if xx.get("choices"		,						lowerCamelCase__ ) and yy.get("choices"		,						lowerCamelCase__ ):
                       for expected_choice in yy["choices"] + xx["choices"]:
                              self.assertEqual(xx["type"](lowerCamelCase__ )		,						yy["type"](lowerCamelCase__ ) )
                       del xx["type"], yy["type"]

                self.assertEqual(lowerCamelCase__		,						lowerCamelCase__ )






  def 			_UpperCAmelCase  (					self      :					Union[str, Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     HfArgumentParser(lowerCamelCase__ )

         UpperCAmelCase__										=     argparse.ArgumentParser()
         expected.add_argument("--foo"		,						type=lowerCamelCase__		,						required=lowerCamelCase__ )
         expected.add_argument("--bar"		,						type=lowerCamelCase__		,						required=lowerCamelCase__ )
         expected.add_argument("--baz"		,						type=lowerCamelCase__		,						required=lowerCamelCase__ )
         expected.add_argument("--flag"		,						type=lowerCamelCase__		,						default=lowerCamelCase__		,						const=lowerCamelCase__		,						nargs="?" )
         self.argparsersEqual(lowerCamelCase__		,						lowerCamelCase__ )

         UpperCAmelCase__										=     ['''--foo''', '''1''', '''--baz''', '''quux''', '''--bar''', '''0.5''']
         (UpperCAmelCase__				)										=     parser.parse_args_into_dataclasses(lowerCamelCase__		,						look_for_args_file=lowerCamelCase__ )
         self.assertFalse(example.flag )






  def 			_UpperCAmelCase  (					self      :					Tuple ):




         """simple docstring"""







         UpperCAmelCase__										=     HfArgumentParser(lowerCamelCase__ )

         UpperCAmelCase__										=     argparse.ArgumentParser()
         expected.add_argument("--foo"		,						default=42		,						type=lowerCamelCase__ )
         expected.add_argument("--baz"		,						default="toto"		,						type=lowerCamelCase__		,						help="help message" )
         self.argparsersEqual(lowerCamelCase__		,						lowerCamelCase__ )






  def 			_UpperCAmelCase  (					self      :					Dict ):




         """simple docstring"""







         UpperCAmelCase__										=     argparse.ArgumentParser()
         expected.add_argument("--foo"		,						type=lowerCamelCase__		,						default=lowerCamelCase__		,						const=lowerCamelCase__		,						nargs="?" )
         expected.add_argument("--baz"		,						type=lowerCamelCase__		,						default=lowerCamelCase__		,						const=lowerCamelCase__		,						nargs="?" )
         # A boolean no_* argument always has to come after its "default: True" regular counter-part
         # and its default must be set to False
         expected.add_argument("--no_baz"		,						action="store_false"		,						default=lowerCamelCase__		,						dest="baz" )
         expected.add_argument("--opt"		,						type=lowerCamelCase__		,						default=lowerCamelCase__ )

         UpperCAmelCase__										=     [WithDefaultBoolExample]
         if is_python_no_less_than_3_10:
                dataclass_types.append(lowerCamelCase__ )

         for dataclass_type in dataclass_types:
                UpperCAmelCase__										=     HfArgumentParser(lowerCamelCase__ )
                self.argparsersEqual(lowerCamelCase__		,						lowerCamelCase__ )

                UpperCAmelCase__										=     parser.parse_args([] )
                self.assertEqual(lowerCamelCase__		,						Namespace(foo=lowerCamelCase__		,						baz=lowerCamelCase__		,						opt=lowerCamelCase__ ) )

                UpperCAmelCase__										=     parser.parse_args(["--foo", "--no_baz"] )
                self.assertEqual(lowerCamelCase__		,						Namespace(foo=lowerCamelCase__		,						baz=lowerCamelCase__		,						opt=lowerCamelCase__ ) )

                UpperCAmelCase__										=     parser.parse_args(["--foo", "--baz"] )
                self.assertEqual(lowerCamelCase__		,						Namespace(foo=lowerCamelCase__		,						baz=lowerCamelCase__		,						opt=lowerCamelCase__ ) )

                UpperCAmelCase__										=     parser.parse_args(["--foo", "True", "--baz", "True", "--opt", "True"] )
                self.assertEqual(lowerCamelCase__		,						Namespace(foo=lowerCamelCase__		,						baz=lowerCamelCase__		,						opt=lowerCamelCase__ ) )

                UpperCAmelCase__										=     parser.parse_args(["--foo", "False", "--baz", "False", "--opt", "False"] )
                self.assertEqual(lowerCamelCase__		,						Namespace(foo=lowerCamelCase__		,						baz=lowerCamelCase__		,						opt=lowerCamelCase__ ) )






  def 			_UpperCAmelCase  (					self      :					Optional[int] ):




         """simple docstring"""







         UpperCAmelCase__										=     HfArgumentParser(lowerCamelCase__ )

         UpperCAmelCase__										=     argparse.ArgumentParser()
         expected.add_argument(
             "--foo"		,						default="toto"		,						choices=["titi", "toto", 42]		,						type=make_choice_type_function(["titi", "toto", 42] )		,						)
         self.argparsersEqual(lowerCamelCase__		,						lowerCamelCase__ )

         UpperCAmelCase__										=     parser.parse_args([] )
         self.assertEqual(args.foo		,						"toto" )
         UpperCAmelCase__										=     parser.parse_args_into_dataclasses([] )[0]
         self.assertEqual(enum_ex.foo		,						MixedTypeEnum.toto )

         UpperCAmelCase__										=     parser.parse_args(["--foo", "titi"] )
         self.assertEqual(args.foo		,						"titi" )
         UpperCAmelCase__										=     parser.parse_args_into_dataclasses(["--foo", "titi"] )[0]
         self.assertEqual(enum_ex.foo		,						MixedTypeEnum.titi )

         UpperCAmelCase__										=     parser.parse_args(["--foo", "42"] )
         self.assertEqual(args.foo		,						42 )
         UpperCAmelCase__										=     parser.parse_args_into_dataclasses(["--foo", "42"] )[0]
         self.assertEqual(enum_ex.foo		,						MixedTypeEnum.fourtytwo )






  def 			_UpperCAmelCase  (					self      :					Union[str, Any] ):




         """simple docstring"""







         @dataclass
         class     lowercase__  :
           A__=  "toto"




         UpperCAmelCase__										=     HfArgumentParser(lowerCamelCase__ )

         UpperCAmelCase__										=     argparse.ArgumentParser()
         expected.add_argument(
             "--foo"		,						default="toto"		,						choices=("titi", "toto", 42)		,						type=make_choice_type_function(["titi", "toto", 42] )		,						)
         self.argparsersEqual(lowerCamelCase__		,						lowerCamelCase__ )

         UpperCAmelCase__										=     parser.parse_args([] )
         self.assertEqual(args.foo		,						"toto" )

         UpperCAmelCase__										=     parser.parse_args(["--foo", "titi"] )
         self.assertEqual(args.foo		,						"titi" )

         UpperCAmelCase__										=     parser.parse_args(["--foo", "42"] )
         self.assertEqual(args.foo		,						42 )






  def 			_UpperCAmelCase  (					self      :					List[Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     HfArgumentParser(lowerCamelCase__ )

         UpperCAmelCase__										=     argparse.ArgumentParser()
         expected.add_argument("--foo_int"		,						nargs="+"		,						default=[]		,						type=lowerCamelCase__ )
         expected.add_argument("--bar_int"		,						nargs="+"		,						default=[1, 2, 3]		,						type=lowerCamelCase__ )
         expected.add_argument("--foo_str"		,						nargs="+"		,						default=["Hallo", "Bonjour", "Hello"]		,						type=lowerCamelCase__ )
         expected.add_argument("--foo_float"		,						nargs="+"		,						default=[0.1, 0.2, 0.3]		,						type=lowerCamelCase__ )

         self.argparsersEqual(lowerCamelCase__		,						lowerCamelCase__ )

         UpperCAmelCase__										=     parser.parse_args([] )
         self.assertEqual(
             lowerCamelCase__		,						Namespace(foo_int=[]		,						bar_int=[1, 2, 3]		,						foo_str=["Hallo", "Bonjour", "Hello"]		,						foo_float=[0.1, 0.2, 0.3] )		,						)

         UpperCAmelCase__										=     parser.parse_args("--foo_int 1 --bar_int 2 3 --foo_str a b c --foo_float 0.1 0.7".split() )
         self.assertEqual(lowerCamelCase__		,						Namespace(foo_int=[1]		,						bar_int=[2, 3]		,						foo_str=["a", "b", "c"]		,						foo_float=[0.1, 0.7] ) )






  def 			_UpperCAmelCase  (					self      :					Optional[Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     argparse.ArgumentParser()
         expected.add_argument("--foo"		,						default=lowerCamelCase__		,						type=lowerCamelCase__ )
         expected.add_argument("--bar"		,						default=lowerCamelCase__		,						type=lowerCamelCase__		,						help="help message" )
         expected.add_argument("--baz"		,						default=lowerCamelCase__		,						type=lowerCamelCase__ )
         expected.add_argument("--ces"		,						nargs="+"		,						default=[]		,						type=lowerCamelCase__ )
         expected.add_argument("--des"		,						nargs="+"		,						default=[]		,						type=lowerCamelCase__ )

         UpperCAmelCase__										=     [OptionalExample]
         if is_python_no_less_than_3_10:
                dataclass_types.append(lowerCamelCase__ )

         for dataclass_type in dataclass_types:
                UpperCAmelCase__										=     HfArgumentParser(lowerCamelCase__ )

                self.argparsersEqual(lowerCamelCase__		,						lowerCamelCase__ )

                UpperCAmelCase__										=     parser.parse_args([] )
                self.assertEqual(lowerCamelCase__		,						Namespace(foo=lowerCamelCase__		,						bar=lowerCamelCase__		,						baz=lowerCamelCase__		,						ces=[]		,						des=[] ) )

                UpperCAmelCase__										=     parser.parse_args("--foo 12 --bar 3.14 --baz 42 --ces a b c --des 1 2 3".split() )
                self.assertEqual(lowerCamelCase__		,						Namespace(foo=12		,						bar=3.1_4		,						baz="42"		,						ces=["a", "b", "c"]		,						des=[1, 2, 3] ) )






  def 			_UpperCAmelCase  (					self      :					Tuple ):




         """simple docstring"""







         UpperCAmelCase__										=     HfArgumentParser(lowerCamelCase__ )

         UpperCAmelCase__										=     argparse.ArgumentParser()
         expected.add_argument("--required_list"		,						nargs="+"		,						type=lowerCamelCase__		,						required=lowerCamelCase__ )
         expected.add_argument("--required_str"		,						type=lowerCamelCase__		,						required=lowerCamelCase__ )
         expected.add_argument(
             "--required_enum"		,						type=make_choice_type_function(["titi", "toto"] )		,						choices=["titi", "toto"]		,						required=lowerCamelCase__		,						)
         self.argparsersEqual(lowerCamelCase__		,						lowerCamelCase__ )






  def 			_UpperCAmelCase  (					self      :					Tuple ):




         """simple docstring"""







         UpperCAmelCase__										=     HfArgumentParser(lowerCamelCase__ )

         UpperCAmelCase__										=     argparse.ArgumentParser()
         expected.add_argument("--foo"		,						type=lowerCamelCase__		,						required=lowerCamelCase__ )
         expected.add_argument(
             "--required_enum"		,						type=make_choice_type_function(["titi", "toto"] )		,						choices=["titi", "toto"]		,						required=lowerCamelCase__		,						)
         expected.add_argument("--opt"		,						type=lowerCamelCase__		,						default=lowerCamelCase__ )
         expected.add_argument("--baz"		,						default="toto"		,						type=lowerCamelCase__		,						help="help message" )
         expected.add_argument("--foo_str"		,						nargs="+"		,						default=["Hallo", "Bonjour", "Hello"]		,						type=lowerCamelCase__ )
         self.argparsersEqual(lowerCamelCase__		,						lowerCamelCase__ )






  def 			_UpperCAmelCase  (					self      :					Optional[int] ):




         """simple docstring"""







         UpperCAmelCase__										=     HfArgumentParser(lowerCamelCase__ )

         UpperCAmelCase__										=     {
             '''foo''': 12,
             '''bar''': 3.1_4,
             '''baz''': '''42''',
             '''flag''': True,
         }

         UpperCAmelCase__										=     parser.parse_dict(lowerCamelCase__ )[0]
         UpperCAmelCase__										=     BasicExample(**lowerCamelCase__ )
         self.assertEqual(lowerCamelCase__		,						lowerCamelCase__ )






  def 			_UpperCAmelCase  (					self      :					Dict ):




         """simple docstring"""







         UpperCAmelCase__										=     HfArgumentParser(lowerCamelCase__ )

         UpperCAmelCase__										=     {
             '''foo''': 12,
             '''bar''': 3.1_4,
             '''baz''': '''42''',
             '''flag''': True,
             '''extra''': 42,
         }

         self.assertRaises(lowerCamelCase__		,						parser.parse_dict		,						lowerCamelCase__		,						allow_extra_keys=lowerCamelCase__ )






  def 			_UpperCAmelCase  (					self      :					Optional[Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     HfArgumentParser(lowerCamelCase__ )

         UpperCAmelCase__										=     {
             '''foo''': 12,
             '''bar''': 3.1_4,
             '''baz''': '''42''',
             '''flag''': True,
         }
         with tempfile.TemporaryDirectory() as tmp_dir:
                UpperCAmelCase__										=     os.path.join(lowerCamelCase__		,						"temp_json" )
                os.mkdir(lowerCamelCase__ )
                with open(temp_local_path + ".json"		,						"w+" ) as f:
                       json.dump(lowerCamelCase__		,						lowerCamelCase__ )
                UpperCAmelCase__										=     parser.parse_yaml_file(Path(temp_local_path + ".json" ) )[0]

         UpperCAmelCase__										=     BasicExample(**lowerCamelCase__ )
         self.assertEqual(lowerCamelCase__		,						lowerCamelCase__ )






  def 			_UpperCAmelCase  (					self      :					Dict ):




         """simple docstring"""







         UpperCAmelCase__										=     HfArgumentParser(lowerCamelCase__ )

         UpperCAmelCase__										=     {
             '''foo''': 12,
             '''bar''': 3.1_4,
             '''baz''': '''42''',
             '''flag''': True,
         }
         with tempfile.TemporaryDirectory() as tmp_dir:
                UpperCAmelCase__										=     os.path.join(lowerCamelCase__		,						"temp_yaml" )
                os.mkdir(lowerCamelCase__ )
                with open(temp_local_path + ".yaml"		,						"w+" ) as f:
                       yaml.dump(lowerCamelCase__		,						lowerCamelCase__ )
                UpperCAmelCase__										=     parser.parse_yaml_file(Path(temp_local_path + ".yaml" ) )[0]
         UpperCAmelCase__										=     BasicExample(**lowerCamelCase__ )
         self.assertEqual(lowerCamelCase__		,						lowerCamelCase__ )






  def 			_UpperCAmelCase  (					self      :					Union[str, Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     HfArgumentParser(lowerCamelCase__ )
         self.assertIsNotNone(lowerCamelCase__ )









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


A      = logging.get_logger(__name__)


class     lowercase__  :






  def __init__(					self      :					List[str]		,						_lowercase      :					str = None		,						_lowercase      :					uuid.UUID = None		,						_lowercase      :					Dict=None		,						_lowercase      :					Any=None ):




         """simple docstring"""







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

         UpperCAmelCase__										=     conversation_id
         UpperCAmelCase__										=     past_user_inputs
         UpperCAmelCase__										=     generated_responses
         UpperCAmelCase__										=     text






  def __eq__(					self      :					Any		,						_lowercase      :					str ):




         """simple docstring"""







         if not isinstance(_lowercase		,						_lowercase ):
                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 			_UpperCAmelCase  (					self      :					Any		,						_lowercase      :					str		,						_lowercase      :					bool = False ):




         """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}\".""" )
                       UpperCAmelCase__										=     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:
                UpperCAmelCase__										=     text






  def 			_UpperCAmelCase  (					self      :					int ):




         """simple docstring"""







         if self.new_user_input:
                self.past_user_inputs.append(self.new_user_input )
         UpperCAmelCase__										=     None






  def 			_UpperCAmelCase  (					self      :					List[str]		,						_lowercase      :					str ):




         """simple docstring"""







         self.generated_responses.append(_lowercase )






  def 			_UpperCAmelCase  (					self      :					List[str] ):




         """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      :					List[Any] ):




         """simple docstring"""







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




@add_end_docstrings(
    __SCREAMING_SNAKE_CASE					,							R'\n        min_length_for_response (`int`, *optional*, defaults to 32):\n            The minimum length (in number of tokens) for a response.\n        minimum_tokens (`int`, *optional*, defaults to 10):\n            The minimum length of tokens to leave for a response.\n    '					,							)
class     lowercase__  (					__SCREAMING_SNAKE_CASE		):






  def __init__(					self      :					str		,						*_lowercase      :					Union[str, Any]		,						**_lowercase      :					Any ):




         """simple docstring"""







         super().__init__(*_lowercase		,						**_lowercase )
         if self.tokenizer.pad_token_id is None:
                UpperCAmelCase__										=     self.tokenizer.eos_token






  def 			_UpperCAmelCase  (					self      :					List[str]		,						_lowercase      :					int=None		,						_lowercase      :					Any=None		,						_lowercase      :					List[str]=None		,						**_lowercase      :					Dict ):




         """simple docstring"""







         UpperCAmelCase__										=     {}
         UpperCAmelCase__										=     {}
         UpperCAmelCase__										=     {}

         if min_length_for_response is not None:
                UpperCAmelCase__										=     min_length_for_response
         if minimum_tokens is not None:
                UpperCAmelCase__										=     minimum_tokens

         if "max_length" in generate_kwargs:
                UpperCAmelCase__										=     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:
                UpperCAmelCase__										=     clean_up_tokenization_spaces

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






  def __call__(					self      :					Dict		,						_lowercase      :					Union[Conversation, List[Conversation]]		,						_lowercase      :					List[str]=0		,						**_lowercase      :					Optional[int] ):




         """simple docstring"""







         UpperCAmelCase__										=     super().__call__(_lowercase		,						num_workers=_lowercase		,						**_lowercase )
         if isinstance(_lowercase		,						_lowercase ) and len(_lowercase ) == 1:
                return outputs[0]
         return outputs






  def 			_UpperCAmelCase  (					self      :					Optional[Any]		,						_lowercase      :					Conversation		,						_lowercase      :					List[Any]=32 ):




         """simple docstring"""







         if not isinstance(_lowercase		,						_lowercase ):
                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" ):
                UpperCAmelCase__										=     self.tokenizer._build_conversation_input_ids(_lowercase )
         else:
                # If the tokenizer cannot handle conversations, we default to only the old version
                UpperCAmelCase__										=     self._legacy_parse_and_tokenize(_lowercase )

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






  def 			_UpperCAmelCase  (					self      :					Optional[Any]		,						_lowercase      :					List[Any]		,						_lowercase      :					List[Any]=10		,						**_lowercase      :					Optional[Any] ):




         """simple docstring"""







         UpperCAmelCase__										=     generate_kwargs.get("max_length"		,						self.model.config.max_length )

         UpperCAmelCase__										=     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})""" )
                UpperCAmelCase__										=     max_length - minimum_tokens
                UpperCAmelCase__										=     model_inputs["input_ids"][:, -trim:]
                if "attention_mask" in model_inputs:
                       UpperCAmelCase__										=     model_inputs["attention_mask"][:, -trim:]
         UpperCAmelCase__										=     model_inputs.pop("conversation" )
         UpperCAmelCase__										=     max_length
         UpperCAmelCase__										=     self.model.generate(**_lowercase		,						**_lowercase )
         if self.model.config.is_encoder_decoder:
                UpperCAmelCase__										=     1
         else:
                UpperCAmelCase__										=     n
         return {"output_ids": output_ids[:, start_position:], "conversation": conversation}






  def 			_UpperCAmelCase  (					self      :					Tuple		,						_lowercase      :					Union[str, Any]		,						_lowercase      :					Optional[Any]=True ):




         """simple docstring"""







         UpperCAmelCase__										=     model_outputs["output_ids"]
         UpperCAmelCase__										=     self.tokenizer.decode(
             output_ids[0]		,						skip_special_tokens=_lowercase		,						clean_up_tokenization_spaces=_lowercase		,						)
         UpperCAmelCase__										=     model_outputs["conversation"]
         conversation.mark_processed()
         conversation.append_response(_lowercase )
         return conversation






  def 			_UpperCAmelCase  (					self      :					List[str]		,						_lowercase      :					Conversation ):




         """simple docstring"""







         UpperCAmelCase__										=     self.tokenizer.eos_token_id
         UpperCAmelCase__										=     []
         for is_user, text in conversation.iter_texts():
                if eos_token_id is not None:
                       input_ids.extend(self.tokenizer.encode(_lowercase		,						add_special_tokens=_lowercase ) + [eos_token_id] )
                else:
                       input_ids.extend(self.tokenizer.encode(_lowercase		,						add_special_tokens=_lowercase ) )

         if len(_lowercase ) > self.tokenizer.model_max_length:
                UpperCAmelCase__										=     input_ids[-self.tokenizer.model_max_length :]
         return input_ids





