



"""simple docstring"""






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
_lowercase				:				List[Any]   		=		sys.version_info >= (3, 1_0)






def   snake_case__     (	__lowerCamelCase       :					Optional[int]=None							,	__lowerCamelCase       :					Union[str, Any]=None			):
   """simple docstring"""
   return field(default_factory=lambda: default							,	metadata=__lowerCamelCase			)

@dataclass
class  __SCREAMING_SNAKE_CASE			:


     '''simple docstring'''





     _a         =							42
     _a         =							42
     _a         =							42
     _a         =							42





@dataclass
class  __SCREAMING_SNAKE_CASE			:


     '''simple docstring'''





     _a         =							4_2
     _a         =							field(default='toto'	,     metadata={'help': 'help message'}     )





@dataclass
class  __SCREAMING_SNAKE_CASE			:


     '''simple docstring'''





     _a         =							False
     _a         =							True
     _a         =							None





class  __SCREAMING_SNAKE_CASE			(   UpperCamelCase__     ):


     '''simple docstring'''





     _a         =							"""titi"""
     _a         =							"""toto"""





class  __SCREAMING_SNAKE_CASE			(   UpperCamelCase__     ):


     '''simple docstring'''





     _a         =							"""titi"""
     _a         =							"""toto"""
     _a         =							4_2





@dataclass
class  __SCREAMING_SNAKE_CASE			:


     '''simple docstring'''





     _a         =							"toto"



     def 	snake_case ( self							:						Tuple  )->      str:
        lowerCamelCase__	:	Dict				=BasicEnum(self.foo  )





@dataclass
class  __SCREAMING_SNAKE_CASE			:


     '''simple docstring'''





     _a         =							"toto"



     def 	snake_case ( self							:						List[Any]  )->      Optional[Any]:
        lowerCamelCase__	:	int				=MixedTypeEnum(self.foo  )





@dataclass
class  __SCREAMING_SNAKE_CASE			:


     '''simple docstring'''





     _a         =							None
     _a         =							field(default=UpperCamelCase__	,     metadata={'help': 'help message'}     )
     _a         =							None
     _a         =							list_field(default=[]     )
     _a         =							list_field(default=[]     )





@dataclass
class  __SCREAMING_SNAKE_CASE			:


     '''simple docstring'''





     _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  __SCREAMING_SNAKE_CASE			:


     '''simple docstring'''





     _a         =							field()
     _a         =							field()
     _a         =							field()



     def 	snake_case ( self							:						Dict  )->      Dict:
        lowerCamelCase__	:	Optional[int]				=BasicEnum(self.required_enum  )





@dataclass
class  __SCREAMING_SNAKE_CASE			:


     '''simple docstring'''





     _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  __SCREAMING_SNAKE_CASE			:


       '''simple docstring'''





       _a         =							False
       _a         =							True
       _a         =							None





  @dataclass
  class  __SCREAMING_SNAKE_CASE			:


       '''simple docstring'''





       _a         =							None
       _a         =							field(default=UpperCamelCase__	,     metadata={'help': 'help message'}     )
       _a         =							None
       _a         =							list_field(default=[]     )
       _a         =							list_field(default=[]     )

class  __SCREAMING_SNAKE_CASE			(   unittest.TestCase     ):


     '''simple docstring'''





     def 	snake_case ( self							:						List[Any],						lowerCamelCase							:						Optional[Any],						lowerCamelCase							:						Optional[int]  )->      Any:
        self.assertEqual(len(a._actions  ),						len(b._actions  )  )
        for x, y in zip(a._actions,						b._actions  ):
           lowerCamelCase__	:	Tuple				={k: v for k, v in vars(lowerCamelCase  ).items() if k != '''container'''}
           lowerCamelCase__	:	Dict				={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 	snake_case ( self							:						Union[str, Any]  )->      str:
        lowerCamelCase__	:	Any				=HfArgumentParser(lowerCamelCase  )

        lowerCamelCase__	:	Any				=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  )

        lowerCamelCase__	:	int				=['''--foo''', '''1''', '''--baz''', '''quux''', '''--bar''', '''0.5''']
        ((lowerCamelCase__       )			,            )	:	List[str]				=parser.parse_args_into_dataclasses(lowerCamelCase,						look_for_args_file=lowerCamelCase  )
        self.assertFalse(example.flag  )



     def 	snake_case ( self							:						Union[str, Any]  )->      Dict:
        lowerCamelCase__	:	List[str]				=HfArgumentParser(lowerCamelCase  )

        lowerCamelCase__	:	str				=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 	snake_case ( self							:						int  )->      Tuple:
        lowerCamelCase__	:	Dict				=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  )

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

        for dataclass_type in dataclass_types:
           lowerCamelCase__	:	Optional[Any]				=HfArgumentParser(lowerCamelCase  )
           self.argparsersEqual(lowerCamelCase,						lowerCamelCase  )

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

           lowerCamelCase__	:	List[str]				=parser.parse_args(['''--foo''', '''--no_baz''']  )
           self.assertEqual(lowerCamelCase,						Namespace(foo=lowerCamelCase,						baz=lowerCamelCase,						opt=lowerCamelCase  )  )

           lowerCamelCase__	:	Union[str, Any]				=parser.parse_args(['''--foo''', '''--baz''']  )
           self.assertEqual(lowerCamelCase,						Namespace(foo=lowerCamelCase,						baz=lowerCamelCase,						opt=lowerCamelCase  )  )

           lowerCamelCase__	:	Tuple				=parser.parse_args(['''--foo''', '''True''', '''--baz''', '''True''', '''--opt''', '''True''']  )
           self.assertEqual(lowerCamelCase,						Namespace(foo=lowerCamelCase,						baz=lowerCamelCase,						opt=lowerCamelCase  )  )

           lowerCamelCase__	:	Dict				=parser.parse_args(['''--foo''', '''False''', '''--baz''', '''False''', '''--opt''', '''False''']  )
           self.assertEqual(lowerCamelCase,						Namespace(foo=lowerCamelCase,						baz=lowerCamelCase,						opt=lowerCamelCase  )  )



     def 	snake_case ( self							:						Union[str, Any]  )->      Tuple:
        lowerCamelCase__	:	Optional[Any]				=HfArgumentParser(lowerCamelCase  )

        lowerCamelCase__	:	Any				=argparse.ArgumentParser()
        expected.add_argument(
            '''--foo''',						default='''toto''',						choices=['''titi''', '''toto''', 42],						type=make_choice_type_function(['''titi''', '''toto''', 42]  ),						)
        self.argparsersEqual(lowerCamelCase,						lowerCamelCase  )

        lowerCamelCase__	:	Optional[int]				=parser.parse_args([]  )
        self.assertEqual(args.foo,						'''toto'''  )
        lowerCamelCase__	:	Union[str, Any]				=parser.parse_args_into_dataclasses([]  )[0]
        self.assertEqual(enum_ex.foo,						MixedTypeEnum.toto  )

        lowerCamelCase__	:	Optional[int]				=parser.parse_args(['''--foo''', '''titi''']  )
        self.assertEqual(args.foo,						'''titi'''  )
        lowerCamelCase__	:	Optional[int]				=parser.parse_args_into_dataclasses(['''--foo''', '''titi''']  )[0]
        self.assertEqual(enum_ex.foo,						MixedTypeEnum.titi  )

        lowerCamelCase__	:	str				=parser.parse_args(['''--foo''', '''42''']  )
        self.assertEqual(args.foo,						42  )
        lowerCamelCase__	:	int				=parser.parse_args_into_dataclasses(['''--foo''', '''42''']  )[0]
        self.assertEqual(enum_ex.foo,						MixedTypeEnum.fourtytwo  )



     def 	snake_case ( self							:						Optional[int]  )->      List[str]:

        @dataclass
        class  __SCREAMING_SNAKE_CASE			:


             '''simple docstring'''





             _a         =							"toto"





        lowerCamelCase__	:	Tuple				=HfArgumentParser(lowerCamelCase  )

        lowerCamelCase__	:	Any				=argparse.ArgumentParser()
        expected.add_argument(
            '''--foo''',						default='''toto''',						choices=('''titi''', '''toto''', 42),						type=make_choice_type_function(['''titi''', '''toto''', 42]  ),						)
        self.argparsersEqual(lowerCamelCase,						lowerCamelCase  )

        lowerCamelCase__	:	List[Any]				=parser.parse_args([]  )
        self.assertEqual(args.foo,						'''toto'''  )

        lowerCamelCase__	:	Optional[Any]				=parser.parse_args(['''--foo''', '''titi''']  )
        self.assertEqual(args.foo,						'''titi'''  )

        lowerCamelCase__	:	List[str]				=parser.parse_args(['''--foo''', '''42''']  )
        self.assertEqual(args.foo,						42  )



     def 	snake_case ( self							:						str  )->      str:
        lowerCamelCase__	:	Tuple				=HfArgumentParser(lowerCamelCase  )

        lowerCamelCase__	:	Optional[int]				=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  )

        lowerCamelCase__	:	Optional[Any]				=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]  ),						)

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

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

        for dataclass_type in dataclass_types:
           lowerCamelCase__	:	Optional[Any]				=HfArgumentParser(lowerCamelCase  )

           self.argparsersEqual(lowerCamelCase,						lowerCamelCase  )

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

           lowerCamelCase__	:	Optional[Any]				=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=3.14,						baz='''42''',						ces=['''a''', '''b''', '''c'''],						des=[1, 2, 3]  )  )



     def 	snake_case ( self							:						List[Any]  )->      Any:
        lowerCamelCase__	:	Optional[int]				=HfArgumentParser(lowerCamelCase  )

        lowerCamelCase__	:	Any				=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 	snake_case ( self							:						Union[str, Any]  )->      Union[str, Any]:
        lowerCamelCase__	:	List[Any]				=HfArgumentParser(lowerCamelCase  )

        lowerCamelCase__	:	List[str]				=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 	snake_case ( self							:						List[str]  )->      Union[str, Any]:
        lowerCamelCase__	:	Dict				=HfArgumentParser(lowerCamelCase  )

        lowerCamelCase__	:	Any				={
            '''foo''': 12,
            '''bar''': 3.14,
            '''baz''': '''42''',
            '''flag''': True,
        }

        lowerCamelCase__	:	Optional[Any]				=parser.parse_dict(lowerCamelCase  )[0]
        lowerCamelCase__	:	Tuple				=BasicExample(**lowerCamelCase  )
        self.assertEqual(lowerCamelCase,						lowerCamelCase  )



     def 	snake_case ( self							:						Union[str, Any]  )->      List[Any]:
        lowerCamelCase__	:	Any				=HfArgumentParser(lowerCamelCase  )

        lowerCamelCase__	:	Tuple				={
            '''foo''': 12,
            '''bar''': 3.14,
            '''baz''': '''42''',
            '''flag''': True,
            '''extra''': 42,
        }

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



     def 	snake_case ( self							:						List[Any]  )->      List[str]:
        lowerCamelCase__	:	Optional[Any]				=HfArgumentParser(lowerCamelCase  )

        lowerCamelCase__	:	int				={
            '''foo''': 12,
            '''bar''': 3.14,
            '''baz''': '''42''',
            '''flag''': True,
        }
        with tempfile.TemporaryDirectory() as tmp_dir:
           lowerCamelCase__	:	int				=os.path.join(lowerCamelCase,						'''temp_json'''  )
           os.mkdir(lowerCamelCase  )
           with open(temp_local_path + '''.json''',						'''w+'''  ) as f:
              json.dump(lowerCamelCase,						lowerCamelCase  )
           lowerCamelCase__	:	Dict				=parser.parse_yaml_file(Path(temp_local_path + '''.json'''  )  )[0]

        lowerCamelCase__	:	Optional[Any]				=BasicExample(**lowerCamelCase  )
        self.assertEqual(lowerCamelCase,						lowerCamelCase  )



     def 	snake_case ( self							:						List[Any]  )->      Tuple:
        lowerCamelCase__	:	List[str]				=HfArgumentParser(lowerCamelCase  )

        lowerCamelCase__	:	Optional[int]				={
            '''foo''': 12,
            '''bar''': 3.14,
            '''baz''': '''42''',
            '''flag''': True,
        }
        with tempfile.TemporaryDirectory() as tmp_dir:
           lowerCamelCase__	:	Dict				=os.path.join(lowerCamelCase,						'''temp_yaml'''  )
           os.mkdir(lowerCamelCase  )
           with open(temp_local_path + '''.yaml''',						'''w+'''  ) as f:
              yaml.dump(lowerCamelCase,						lowerCamelCase  )
           lowerCamelCase__	:	List[Any]				=parser.parse_yaml_file(Path(temp_local_path + '''.yaml'''  )  )[0]
        lowerCamelCase__	:	Union[str, Any]				=BasicExample(**lowerCamelCase  )
        self.assertEqual(lowerCamelCase,						lowerCamelCase  )




     def 	snake_case ( self							:						Optional[Any]  )->      Any:
        lowerCamelCase__	:	Dict				=HfArgumentParser(lowerCamelCase  )
        self.assertIsNotNone(lowerCamelCase  )









"""simple docstring"""






from __future__ import annotations

import unittest

from transformers import BlenderbotSmallConfig, BlenderbotSmallTokenizer, is_tf_available
from transformers.testing_utils import require_tf, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_configuration_common import ConfigTester
from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor
from ...test_pipeline_mixin import PipelineTesterMixin


if is_tf_available():
		import tensorflow as tf

		from transformers import TFAutoModelForSeqaSeqLM, TFBlenderbotSmallForConditionalGeneration, TFBlenderbotSmallModel

@require_tf
class  __SCREAMING_SNAKE_CASE			:


					'''simple docstring'''





					_a         =							BlenderbotSmallConfig
					_a         =							{}
					_a         =							'gelu'



					def __init__( self							:						Union[str, Any],						lowerCamelCase							:						List[str],						lowerCamelCase							:						Dict=13,						lowerCamelCase							:						Optional[Any]=7,						lowerCamelCase							:						Optional[int]=True,						lowerCamelCase							:						int=False,						lowerCamelCase							:						Union[str, Any]=99,						lowerCamelCase							:						str=32,						lowerCamelCase							:						List[Any]=2,						lowerCamelCase							:						Optional[int]=4,						lowerCamelCase							:						Union[str, Any]=37,						lowerCamelCase							:						str=0.1,						lowerCamelCase							:						Optional[int]=0.1,						lowerCamelCase							:						Optional[Any]=20,						lowerCamelCase							:						int=2,						lowerCamelCase							:						Any=1,						lowerCamelCase							:						Optional[Any]=0,						)->      List[str]:
								lowerCamelCase__	:	Any				=parent
								lowerCamelCase__	:	Dict				=batch_size
								lowerCamelCase__	:	Optional[int]				=seq_length
								lowerCamelCase__	:	Tuple				=is_training
								lowerCamelCase__	:	Dict				=use_labels
								lowerCamelCase__	:	List[Any]				=vocab_size
								lowerCamelCase__	:	str				=hidden_size
								lowerCamelCase__	:	str				=num_hidden_layers
								lowerCamelCase__	:	Union[str, Any]				=num_attention_heads
								lowerCamelCase__	:	Any				=intermediate_size

								lowerCamelCase__	:	Dict				=hidden_dropout_prob
								lowerCamelCase__	:	List[Any]				=attention_probs_dropout_prob
								lowerCamelCase__	:	str				=max_position_embeddings
								lowerCamelCase__	:	Optional[int]				=eos_token_id
								lowerCamelCase__	:	str				=pad_token_id
								lowerCamelCase__	:	Union[str, Any]				=bos_token_id



					def 	snake_case ( self							:						Any  )->      Any:
								lowerCamelCase__	:	Any				=ids_tensor([self.batch_size, self.seq_length - 1],						self.vocab_size  )
								lowerCamelCase__	:	Tuple				=tf.expand_dims(tf.constant([self.eos_token_id] * self.batch_size  ),						1  )
								lowerCamelCase__	:	Any				=tf.concat([input_ids, eos_tensor],						axis=1  )

								lowerCamelCase__	:	Optional[int]				=ids_tensor([self.batch_size, self.seq_length],						self.vocab_size  )

								lowerCamelCase__	:	int				=self.config_cls(
								    vocab_size=self.vocab_size,						d_model=self.hidden_size,						encoder_layers=self.num_hidden_layers,						decoder_layers=self.num_hidden_layers,						encoder_attention_heads=self.num_attention_heads,						decoder_attention_heads=self.num_attention_heads,						encoder_ffn_dim=self.intermediate_size,						decoder_ffn_dim=self.intermediate_size,						dropout=self.hidden_dropout_prob,						attention_dropout=self.attention_probs_dropout_prob,						max_position_embeddings=self.max_position_embeddings,						eos_token_ids=[2],						bos_token_id=self.bos_token_id,						pad_token_id=self.pad_token_id,						decoder_start_token_id=self.pad_token_id,						**self.config_updates,						)
								lowerCamelCase__	:	Optional[int]				=prepare_blenderbot_small_inputs_dict(lowerCamelCase,						lowerCamelCase,						lowerCamelCase  )
								return config, inputs_dict




					def 	snake_case ( self							:						Any,						lowerCamelCase							:						str,						lowerCamelCase							:						Any  )->      Optional[Any]:
								lowerCamelCase__	:	Union[str, Any]				=TFBlenderbotSmallModel(config=lowerCamelCase  ).get_decoder()
								lowerCamelCase__	:	List[Any]				=inputs_dict['''input_ids''']

								lowerCamelCase__	:	Optional[int]				=input_ids[:1, :]
								lowerCamelCase__	:	str				=inputs_dict['''attention_mask'''][:1, :]
								lowerCamelCase__	:	Union[str, Any]				=inputs_dict['''head_mask''']
								lowerCamelCase__	:	Optional[Any]				=1

								# first forward pass
								lowerCamelCase__	:	Dict				=model(lowerCamelCase,						attention_mask=lowerCamelCase,						head_mask=lowerCamelCase,						use_cache=lowerCamelCase  )

								lowerCamelCase__			,     lowerCamelCase__	:	List[str]				=outputs.to_tuple()

								# create hypothetical next token and extent to next_input_ids
								lowerCamelCase__	:	Union[str, Any]				=ids_tensor((self.batch_size, 3),						config.vocab_size  )
								lowerCamelCase__	:	Tuple				=tf.cast(ids_tensor((self.batch_size, 3),						2  ),						tf.inta  )

								# append to next input_ids and
								lowerCamelCase__	:	List[str]				=tf.concat([input_ids, next_tokens],						axis=-1  )
								lowerCamelCase__	:	str				=tf.concat([attention_mask, next_attn_mask],						axis=-1  )

								lowerCamelCase__	:	Optional[int]				=model(lowerCamelCase,						attention_mask=lowerCamelCase  )[0]
								lowerCamelCase__	:	Union[str, Any]				=model(lowerCamelCase,						attention_mask=lowerCamelCase,						past_key_values=lowerCamelCase  )[0]

								self.parent.assertEqual(next_tokens.shape[1],						output_from_past.shape[1]  )

								# select random slice
								lowerCamelCase__	:	Tuple				=int(ids_tensor((1,),						output_from_past.shape[-1]  )  )
								lowerCamelCase__	:	int				=output_from_no_past[:, -3:, random_slice_idx]
								lowerCamelCase__	:	List[str]				=output_from_past[:, :, random_slice_idx]

								# test that outputs are equal for slice
								tf.debugging.assert_near(lowerCamelCase,						lowerCamelCase,						rtol=1E-3  )






def   snake_case__     (	__lowerCamelCase       :					Tuple							,	__lowerCamelCase       :					Union[str, Any]							,	__lowerCamelCase       :					Union[str, Any]							,	__lowerCamelCase       :					Any=None							,	__lowerCamelCase       :					List[str]=None							,	__lowerCamelCase       :					Tuple=None							,	__lowerCamelCase       :					Dict=None							,	__lowerCamelCase       :					Optional[int]=None							,	):
			"""simple docstring"""
			if attention_mask is None:
						lowerCamelCase__	:	List[str]				=tf.cast(tf.math.not_equal(__lowerCamelCase							,	config.pad_token_id			)							,	tf.inta			)
			if decoder_attention_mask is None:
						lowerCamelCase__	:	str				=tf.concat(
						    [
						        tf.ones(decoder_input_ids[:, :1].shape							,	dtype=tf.inta			),
						        tf.cast(tf.math.not_equal(decoder_input_ids[:, 1:]							,	config.pad_token_id			)							,	tf.inta			),
						    ]							,	axis=-1							,	)
			if head_mask is None:
						lowerCamelCase__	:	int				=tf.ones((config.encoder_layers, config.encoder_attention_heads)			)
			if decoder_head_mask is None:
						lowerCamelCase__	:	int				=tf.ones((config.decoder_layers, config.decoder_attention_heads)			)
			if cross_attn_head_mask is None:
						lowerCamelCase__	:	List[str]				=tf.ones((config.decoder_layers, config.decoder_attention_heads)			)
			return {
			    "input_ids": input_ids,
			    "decoder_input_ids": decoder_input_ids,
			    "attention_mask": attention_mask,
			    "decoder_attention_mask": decoder_attention_mask,
			    "head_mask": head_mask,
			    "decoder_head_mask": decoder_head_mask,
			    "cross_attn_head_mask": cross_attn_head_mask,
			}

@require_tf
class  __SCREAMING_SNAKE_CASE			(   lowerCAmelCase_	,     lowerCAmelCase_	,     unittest.TestCase     ):


					'''simple docstring'''





					_a         =							(
					    (TFBlenderbotSmallForConditionalGeneration, TFBlenderbotSmallModel) if is_tf_available() else ()
					)
					_a         =							(TFBlenderbotSmallForConditionalGeneration,) if is_tf_available() else ()
					_a         =							(
					    {
					        'conversational': TFBlenderbotSmallForConditionalGeneration,
					        'feature-extraction': TFBlenderbotSmallModel,
					        'summarization': TFBlenderbotSmallForConditionalGeneration,
					        'text2text-generation': TFBlenderbotSmallForConditionalGeneration,
					        'translation': TFBlenderbotSmallForConditionalGeneration,
					    }
					    if is_tf_available()
					    else {}
					)
					_a         =							True
					_a         =							False
					_a         =							False



					def 	snake_case ( self							:						Any  )->      str:
								lowerCamelCase__	:	Tuple				=TFBlenderbotSmallModelTester(self  )
								lowerCamelCase__	:	Union[str, Any]				=ConfigTester(self,						config_class=lowerCamelCase  )



					def 	snake_case ( self							:						Any  )->      Optional[int]:
								self.config_tester.run_common_tests()




					def 	snake_case ( self							:						int  )->      str:
								lowerCamelCase__	:	List[Any]				=self.model_tester.prepare_config_and_inputs_for_common()
								self.model_tester.check_decoder_model_past_large_inputs(*lowerCamelCase  )





@require_tokenizers
@require_tf
class  __SCREAMING_SNAKE_CASE			(   unittest.TestCase     ):


					'''simple docstring'''





					_a         =							[
					    'Social anxiety\nWow, I am never shy. Do you have anxiety?\nYes. I end up sweating and blushing and feel like '
					    '  i\'m going to throw up.\nand why is that?'
					]
					_a         =							'facebook/blenderbot_small-90M'



					@cached_property
					def 	snake_case ( self							:						Any  )->      List[Any]:
								# use "old" tokenizer here because of bug when downloading new tokenizer
								return BlenderbotSmallTokenizer.from_pretrained('''facebook/blenderbot-90M'''  )



					@cached_property
					def 	snake_case ( self							:						int  )->      List[Any]:
								lowerCamelCase__	:	str				=TFAutoModelForSeqaSeqLM.from_pretrained(self.model_name  )
								return model




					@slow
					def 	snake_case ( self							:						Tuple  )->      int:
								lowerCamelCase__	:	Dict				=self.tokenizer(self.src_text,						return_tensors='''tf'''  )
								lowerCamelCase__	:	Any				=self.model.generate(
								    model_inputs.input_ids,						attention_mask=model_inputs.attention_mask,						num_beams=2,						use_cache=lowerCamelCase,						)
								lowerCamelCase__	:	Any				=self.tokenizer.batch_decode(generated_ids.numpy(),						skip_special_tokens=lowerCamelCase  )[0]
								assert generated_words in (
								    "i don't know. i just feel like i'm going to throw up. it's not fun.",
								    "i'm not sure. i just feel like i've been feeling like i have to be in a certain place",
								    "i'm not sure. i just feel like i've been in a bad situation.",
								)




