


"""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
snake_case__		:     int    				=						sys.version_info >= (3, 10)


def      _snake_case						(						_snake_case				:			Dict=None ,   _snake_case				:			Optional[Any]=None			):
      return field(default_factory=lambda: default ,   metadata=lowerCamelCase__			)



@dataclass
class 		snake_case_:
     __UpperCamelCase  =					42
     __UpperCamelCase  =					42
     __UpperCamelCase  =					42
     __UpperCamelCase  =					42



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



@dataclass
class 		snake_case_:
     __UpperCamelCase  =					False
     __UpperCamelCase  =					True
     __UpperCamelCase  =					None



class 		snake_case_(       a__			):
     __UpperCamelCase  =					"""titi"""
     __UpperCamelCase  =					"""toto"""



class 		snake_case_(       a__			):
     __UpperCamelCase  =					"""titi"""
     __UpperCamelCase  =					"""toto"""
     __UpperCamelCase  =					42



@dataclass
class 		snake_case_:
     __UpperCamelCase  =					"toto"






     def      lowerCamelCase__     (	self  :					List[str]				):
           lowerCAmelCase					:	Optional[Any]       =   BasicEnum(self.foo				)



@dataclass
class 		snake_case_:
     __UpperCamelCase  =					"toto"






     def      lowerCamelCase__     (	self  :					int				):
           lowerCAmelCase					:	Dict       =   MixedTypeEnum(self.foo				)



@dataclass
class 		snake_case_:
     __UpperCamelCase  =					None
     __UpperCamelCase  =					field(default=a__							,					metadata={'''help''': '''help message'''}			)
     __UpperCamelCase  =					None
     __UpperCamelCase  =					list_field(default=[]			)
     __UpperCamelCase  =					list_field(default=[]			)



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



@dataclass
class 		snake_case_:
     __UpperCamelCase  =					field()
     __UpperCamelCase  =					field()
     __UpperCamelCase  =					field()






     def      lowerCamelCase__     (	self  :					Optional[Any]				):
           lowerCAmelCase					:	Any       =   BasicEnum(self.required_enum				)



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


if is_python_no_less_than_3_10:



 @dataclass
 class 		snake_case_:
      __UpperCamelCase  =					False
      __UpperCamelCase  =					True
      __UpperCamelCase  =					None



 @dataclass
 class 		snake_case_:
      __UpperCamelCase  =					None
      __UpperCamelCase  =					field(default=a__							,					metadata={'''help''': '''help message'''}			)
      __UpperCamelCase  =					None
      __UpperCamelCase  =					list_field(default=[]			)
      __UpperCamelCase  =					list_field(default=[]			)






class 		snake_case_(       unittest.TestCase			):






     def      lowerCamelCase__     (	self  :					Dict					,				UpperCamelCase_  :					argparse.ArgumentParser					,				UpperCamelCase_  :					argparse.ArgumentParser				):
           self.assertEqual(len(a._actions				)					,				len(b._actions				)				)
           for x, y in zip(a._actions					,				b._actions				):
                 lowerCAmelCase					:	List[str]       =   {k: v for k, v in vars(UpperCamelCase_				).items() if k != '''container'''}
                 lowerCAmelCase					:	Optional[Any]       =   {k: v for k, v in vars(UpperCamelCase_				).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'''					,				UpperCamelCase_				) and yy.get('''choices'''					,				UpperCamelCase_				):
                       for expected_choice in yy["choices"] + xx["choices"]:
                             self.assertEqual(xx['''type'''](UpperCamelCase_				)					,				yy['''type'''](UpperCamelCase_				)				)
                       del xx["type"], yy["type"]

                 self.assertEqual(UpperCamelCase_					,				UpperCamelCase_				)






     def      lowerCamelCase__     (	self  :					str				):
           lowerCAmelCase					:	str       =   HfArgumentParser(UpperCamelCase_				)

           lowerCAmelCase					:	List[str]       =   argparse.ArgumentParser()
           expected.add_argument('''--foo'''					,				type=UpperCamelCase_					,				required=UpperCamelCase_				)
           expected.add_argument('''--bar'''					,				type=UpperCamelCase_					,				required=UpperCamelCase_				)
           expected.add_argument('''--baz'''					,				type=UpperCamelCase_					,				required=UpperCamelCase_				)
           expected.add_argument('''--flag'''					,				type=UpperCamelCase_					,				default=UpperCamelCase_					,				const=UpperCamelCase_					,				nargs='''?'''				)
           self.argparsersEqual(UpperCamelCase_					,				UpperCamelCase_				)

           lowerCAmelCase					:	Optional[Any]       =   ['''--foo''', '''1''', '''--baz''', '''quux''', '''--bar''', '''0.5''']
           ((lowerCAmelCase  ),        )					:	Tuple       =   parser.parse_args_into_dataclasses(UpperCamelCase_					,				look_for_args_file=UpperCamelCase_				)
           self.assertFalse(example.flag				)






     def      lowerCamelCase__     (	self  :					int				):
           lowerCAmelCase					:	Union[str, Any]       =   HfArgumentParser(UpperCamelCase_				)

           lowerCAmelCase					:	int       =   argparse.ArgumentParser()
           expected.add_argument('''--foo'''					,				default=4_2					,				type=UpperCamelCase_				)
           expected.add_argument('''--baz'''					,				default='''toto'''					,				type=UpperCamelCase_					,				help='''help message'''				)
           self.argparsersEqual(UpperCamelCase_					,				UpperCamelCase_				)






     def      lowerCamelCase__     (	self  :					Any				):
           lowerCAmelCase					:	Union[str, Any]       =   argparse.ArgumentParser()
           expected.add_argument('''--foo'''					,				type=UpperCamelCase_					,				default=UpperCamelCase_					,				const=UpperCamelCase_					,				nargs='''?'''				)
           expected.add_argument('''--baz'''					,				type=UpperCamelCase_					,				default=UpperCamelCase_					,				const=UpperCamelCase_					,				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=UpperCamelCase_					,				dest='''baz'''				)
           expected.add_argument('''--opt'''					,				type=UpperCamelCase_					,				default=UpperCamelCase_				)

           lowerCAmelCase					:	Union[str, Any]       =   [WithDefaultBoolExample]
           if is_python_no_less_than_3_10:
                 dataclass_types.append(UpperCamelCase_				)

           for dataclass_type in dataclass_types:
                 lowerCAmelCase					:	Tuple       =   HfArgumentParser(UpperCamelCase_				)
                 self.argparsersEqual(UpperCamelCase_					,				UpperCamelCase_				)

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

                 lowerCAmelCase					:	Optional[int]       =   parser.parse_args(['''--foo''', '''--no_baz''']				)
                 self.assertEqual(UpperCamelCase_					,				Namespace(foo=UpperCamelCase_					,				baz=UpperCamelCase_					,				opt=UpperCamelCase_				)				)

                 lowerCAmelCase					:	str       =   parser.parse_args(['''--foo''', '''--baz''']				)
                 self.assertEqual(UpperCamelCase_					,				Namespace(foo=UpperCamelCase_					,				baz=UpperCamelCase_					,				opt=UpperCamelCase_				)				)

                 lowerCAmelCase					:	Any       =   parser.parse_args(['''--foo''', '''True''', '''--baz''', '''True''', '''--opt''', '''True''']				)
                 self.assertEqual(UpperCamelCase_					,				Namespace(foo=UpperCamelCase_					,				baz=UpperCamelCase_					,				opt=UpperCamelCase_				)				)

                 lowerCAmelCase					:	Any       =   parser.parse_args(['''--foo''', '''False''', '''--baz''', '''False''', '''--opt''', '''False''']				)
                 self.assertEqual(UpperCamelCase_					,				Namespace(foo=UpperCamelCase_					,				baz=UpperCamelCase_					,				opt=UpperCamelCase_				)				)






     def      lowerCamelCase__     (	self  :					str				):
           lowerCAmelCase					:	Union[str, Any]       =   HfArgumentParser(UpperCamelCase_				)

           lowerCAmelCase					:	int       =   argparse.ArgumentParser()
           expected.add_argument(
               '''--foo'''					,				default='''toto'''					,				choices=['''titi''', '''toto''', 4_2]					,				type=make_choice_type_function(['''titi''', '''toto''', 4_2]				)					,				)
           self.argparsersEqual(UpperCamelCase_					,				UpperCamelCase_				)

           lowerCAmelCase					:	Optional[Any]       =   parser.parse_args([]				)
           self.assertEqual(args.foo					,				'''toto'''				)
           lowerCAmelCase					:	Dict       =   parser.parse_args_into_dataclasses([]				)[0]
           self.assertEqual(enum_ex.foo					,				MixedTypeEnum.toto				)

           lowerCAmelCase					:	List[str]       =   parser.parse_args(['''--foo''', '''titi''']				)
           self.assertEqual(args.foo					,				'''titi'''				)
           lowerCAmelCase					:	Tuple       =   parser.parse_args_into_dataclasses(['''--foo''', '''titi''']				)[0]
           self.assertEqual(enum_ex.foo					,				MixedTypeEnum.titi				)

           lowerCAmelCase					:	Any       =   parser.parse_args(['''--foo''', '''42''']				)
           self.assertEqual(args.foo					,				4_2				)
           lowerCAmelCase					:	List[Any]       =   parser.parse_args_into_dataclasses(['''--foo''', '''42''']				)[0]
           self.assertEqual(enum_ex.foo					,				MixedTypeEnum.fourtytwo				)






     def      lowerCamelCase__     (	self  :					List[str]				):



           @dataclass
           class 		snake_case_:
                __UpperCamelCase  =					"toto"



           lowerCAmelCase					:	Tuple       =   HfArgumentParser(UpperCamelCase_				)

           lowerCAmelCase					:	Optional[Any]       =   argparse.ArgumentParser()
           expected.add_argument(
               '''--foo'''					,				default='''toto'''					,				choices=('''titi''', '''toto''', 4_2)					,				type=make_choice_type_function(['''titi''', '''toto''', 4_2]				)					,				)
           self.argparsersEqual(UpperCamelCase_					,				UpperCamelCase_				)

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

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

           lowerCAmelCase					:	List[Any]       =   parser.parse_args(['''--foo''', '''42''']				)
           self.assertEqual(args.foo					,				4_2				)






     def      lowerCamelCase__     (	self  :					Union[str, Any]				):
           lowerCAmelCase					:	Optional[Any]       =   HfArgumentParser(UpperCamelCase_				)

           lowerCAmelCase					:	Optional[Any]       =   argparse.ArgumentParser()
           expected.add_argument('''--foo_int'''					,				nargs='''+'''					,				default=[]					,				type=UpperCamelCase_				)
           expected.add_argument('''--bar_int'''					,				nargs='''+'''					,				default=[1, 2, 3]					,				type=UpperCamelCase_				)
           expected.add_argument('''--foo_str'''					,				nargs='''+'''					,				default=['''Hallo''', '''Bonjour''', '''Hello''']					,				type=UpperCamelCase_				)
           expected.add_argument('''--foo_float'''					,				nargs='''+'''					,				default=[0.1, 0.2, 0.3]					,				type=UpperCamelCase_				)

           self.argparsersEqual(UpperCamelCase_					,				UpperCamelCase_				)

           lowerCAmelCase					:	Optional[Any]       =   parser.parse_args([]				)
           self.assertEqual(
               UpperCamelCase_					,				Namespace(foo_int=[]					,				bar_int=[1, 2, 3]					,				foo_str=['''Hallo''', '''Bonjour''', '''Hello''']					,				foo_float=[0.1, 0.2, 0.3]				)					,				)

           lowerCAmelCase					:	List[str]       =   parser.parse_args('''--foo_int 1 --bar_int 2 3 --foo_str a b c --foo_float 0.1 0.7'''.split()				)
           self.assertEqual(UpperCamelCase_					,				Namespace(foo_int=[1]					,				bar_int=[2, 3]					,				foo_str=['''a''', '''b''', '''c''']					,				foo_float=[0.1, 0.7]				)				)






     def      lowerCamelCase__     (	self  :					List[Any]				):
           lowerCAmelCase					:	int       =   argparse.ArgumentParser()
           expected.add_argument('''--foo'''					,				default=UpperCamelCase_					,				type=UpperCamelCase_				)
           expected.add_argument('''--bar'''					,				default=UpperCamelCase_					,				type=UpperCamelCase_					,				help='''help message'''				)
           expected.add_argument('''--baz'''					,				default=UpperCamelCase_					,				type=UpperCamelCase_				)
           expected.add_argument('''--ces'''					,				nargs='''+'''					,				default=[]					,				type=UpperCamelCase_				)
           expected.add_argument('''--des'''					,				nargs='''+'''					,				default=[]					,				type=UpperCamelCase_				)

           lowerCAmelCase					:	Optional[Any]       =   [OptionalExample]
           if is_python_no_less_than_3_10:
                 dataclass_types.append(UpperCamelCase_				)

           for dataclass_type in dataclass_types:
                 lowerCAmelCase					:	Any       =   HfArgumentParser(UpperCamelCase_				)

                 self.argparsersEqual(UpperCamelCase_					,				UpperCamelCase_				)

                 lowerCAmelCase					:	List[Any]       =   parser.parse_args([]				)
                 self.assertEqual(UpperCamelCase_					,				Namespace(foo=UpperCamelCase_					,				bar=UpperCamelCase_					,				baz=UpperCamelCase_					,				ces=[]					,				des=[]				)				)

                 lowerCAmelCase					:	Union[str, Any]       =   parser.parse_args('''--foo 12 --bar 3.14 --baz 42 --ces a b c --des 1 2 3'''.split()				)
                 self.assertEqual(UpperCamelCase_					,				Namespace(foo=1_2					,				bar=3.14					,				baz='''42'''					,				ces=['''a''', '''b''', '''c''']					,				des=[1, 2, 3]				)				)






     def      lowerCamelCase__     (	self  :					Union[str, Any]				):
           lowerCAmelCase					:	Dict       =   HfArgumentParser(UpperCamelCase_				)

           lowerCAmelCase					:	List[str]       =   argparse.ArgumentParser()
           expected.add_argument('''--required_list'''					,				nargs='''+'''					,				type=UpperCamelCase_					,				required=UpperCamelCase_				)
           expected.add_argument('''--required_str'''					,				type=UpperCamelCase_					,				required=UpperCamelCase_				)
           expected.add_argument(
               '''--required_enum'''					,				type=make_choice_type_function(['''titi''', '''toto''']				)					,				choices=['''titi''', '''toto''']					,				required=UpperCamelCase_					,				)
           self.argparsersEqual(UpperCamelCase_					,				UpperCamelCase_				)






     def      lowerCamelCase__     (	self  :					List[str]				):
           lowerCAmelCase					:	str       =   HfArgumentParser(UpperCamelCase_				)

           lowerCAmelCase					:	Optional[int]       =   argparse.ArgumentParser()
           expected.add_argument('''--foo'''					,				type=UpperCamelCase_					,				required=UpperCamelCase_				)
           expected.add_argument(
               '''--required_enum'''					,				type=make_choice_type_function(['''titi''', '''toto''']				)					,				choices=['''titi''', '''toto''']					,				required=UpperCamelCase_					,				)
           expected.add_argument('''--opt'''					,				type=UpperCamelCase_					,				default=UpperCamelCase_				)
           expected.add_argument('''--baz'''					,				default='''toto'''					,				type=UpperCamelCase_					,				help='''help message'''				)
           expected.add_argument('''--foo_str'''					,				nargs='''+'''					,				default=['''Hallo''', '''Bonjour''', '''Hello''']					,				type=UpperCamelCase_				)
           self.argparsersEqual(UpperCamelCase_					,				UpperCamelCase_				)






     def      lowerCamelCase__     (	self  :					List[str]				):
           lowerCAmelCase					:	Dict       =   HfArgumentParser(UpperCamelCase_				)

           lowerCAmelCase					:	Any       =   {
               '''foo''': 1_2,
               '''bar''': 3.14,
               '''baz''': '''42''',
               '''flag''': True,
           }

           lowerCAmelCase					:	Optional[int]       =   parser.parse_dict(UpperCamelCase_				)[0]
           lowerCAmelCase					:	List[str]       =   BasicExample(**UpperCamelCase_				)
           self.assertEqual(UpperCamelCase_					,				UpperCamelCase_				)






     def      lowerCamelCase__     (	self  :					List[Any]				):
           lowerCAmelCase					:	Optional[int]       =   HfArgumentParser(UpperCamelCase_				)

           lowerCAmelCase					:	Dict       =   {
               '''foo''': 1_2,
               '''bar''': 3.14,
               '''baz''': '''42''',
               '''flag''': True,
               '''extra''': 4_2,
           }

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






     def      lowerCamelCase__     (	self  :					str				):
           lowerCAmelCase					:	Any       =   HfArgumentParser(UpperCamelCase_				)

           lowerCAmelCase					:	Union[str, Any]       =   {
               '''foo''': 1_2,
               '''bar''': 3.14,
               '''baz''': '''42''',
               '''flag''': True,
           }
           with tempfile.TemporaryDirectory() as tmp_dir:
                 lowerCAmelCase					:	str       =   os.path.join(UpperCamelCase_					,				'''temp_json'''				)
                 os.mkdir(UpperCamelCase_				)
                 with open(temp_local_path + '''.json'''					,				'''w+'''				) as f:
                       json.dump(UpperCamelCase_					,				UpperCamelCase_				)
                 lowerCAmelCase					:	Tuple       =   parser.parse_yaml_file(Path(temp_local_path + '''.json'''				)				)[0]

           lowerCAmelCase					:	Any       =   BasicExample(**UpperCamelCase_				)
           self.assertEqual(UpperCamelCase_					,				UpperCamelCase_				)






     def      lowerCamelCase__     (	self  :					Dict				):
           lowerCAmelCase					:	List[str]       =   HfArgumentParser(UpperCamelCase_				)

           lowerCAmelCase					:	Optional[Any]       =   {
               '''foo''': 1_2,
               '''bar''': 3.14,
               '''baz''': '''42''',
               '''flag''': True,
           }
           with tempfile.TemporaryDirectory() as tmp_dir:
                 lowerCAmelCase					:	Any       =   os.path.join(UpperCamelCase_					,				'''temp_yaml'''				)
                 os.mkdir(UpperCamelCase_				)
                 with open(temp_local_path + '''.yaml'''					,				'''w+'''				) as f:
                       yaml.dump(UpperCamelCase_					,				UpperCamelCase_				)
                 lowerCAmelCase					:	Tuple       =   parser.parse_yaml_file(Path(temp_local_path + '''.yaml'''				)				)[0]
           lowerCAmelCase					:	Optional[int]       =   BasicExample(**UpperCamelCase_				)
           self.assertEqual(UpperCamelCase_					,				UpperCamelCase_				)






     def      lowerCamelCase__     (	self  :					Union[str, Any]				):
           lowerCAmelCase					:	Dict       =   HfArgumentParser(UpperCamelCase_				)
           self.assertIsNotNone(UpperCamelCase_				)






"""simple docstring"""





import unittest

import numpy as np
import timeout_decorator  # noqa

from transformers import BlenderbotConfig, is_flax_available
from transformers.testing_utils import jax_device, require_flax, slow

from ...generation.test_flax_utils import FlaxGenerationTesterMixin
from ...test_modeling_flax_common import FlaxModelTesterMixin, ids_tensor


if is_flax_available():
 import os

 # The slow tests are often failing with OOM error on GPU
 # This makes JAX allocate exactly what is needed on demand, and deallocate memory that is no longer needed
 # but will be slower as stated here https://jax.readthedocs.io/en/latest/gpu_memory_allocation.html
 snake_case__		:     int    				=				'''platform'''

 import jax
 import jax.numpy as jnp

 from transformers import BlenderbotTokenizer
 from transformers.models.blenderbot.modeling_flax_blenderbot import (
     FlaxBlenderbotForConditionalGeneration,
     FlaxBlenderbotModel,
     shift_tokens_right,
 )


def      _snake_case						(						_snake_case				:			str ,   _snake_case				:			Any ,   _snake_case				:			str=None ,   _snake_case				:			str=None ,   _snake_case				:			Dict=None ,   _snake_case				:			Tuple=None ,   _snake_case				:			str=None ,   _snake_case				:			Any=None ,   ):
      if attention_mask is None:
            lowerCAmelCase					:	List[str]       =   np.where(input_ids != config.pad_token_id ,   1 ,   0			)
      if decoder_attention_mask is None:
            lowerCAmelCase					:	Optional[int]       =   np.where(decoder_input_ids != config.pad_token_id ,   1 ,   0			)
      if head_mask is None:
            lowerCAmelCase					:	Any       =   np.ones((config.encoder_layers, config.encoder_attention_heads)			)
      if decoder_head_mask is None:
            lowerCAmelCase					:	int       =   np.ones((config.decoder_layers, config.decoder_attention_heads)			)
      if cross_attn_head_mask is None:
            lowerCAmelCase					:	List[str]       =   np.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": attention_mask,
      }



class 		snake_case_:






     def __init__(	self  :					int					,				UpperCamelCase_  :					Tuple					,				UpperCamelCase_  :					int=1_3					,				UpperCamelCase_  :					Union[str, Any]=7					,				UpperCamelCase_  :					Union[str, Any]=True					,				UpperCamelCase_  :					List[Any]=False					,				UpperCamelCase_  :					Dict=9_9					,				UpperCamelCase_  :					Optional[int]=1_6					,				UpperCamelCase_  :					str=2					,				UpperCamelCase_  :					List[str]=4					,				UpperCamelCase_  :					List[Any]=4					,				UpperCamelCase_  :					int="gelu"					,				UpperCamelCase_  :					Optional[int]=0.1					,				UpperCamelCase_  :					Any=0.1					,				UpperCamelCase_  :					str=3_2					,				UpperCamelCase_  :					str=2					,				UpperCamelCase_  :					Tuple=1					,				UpperCamelCase_  :					List[Any]=0					,				UpperCamelCase_  :					Any=0.02					,				):
           lowerCAmelCase					:	Tuple       =   parent
           lowerCAmelCase					:	str       =   batch_size
           lowerCAmelCase					:	List[Any]       =   seq_length
           lowerCAmelCase					:	Optional[int]       =   is_training
           lowerCAmelCase					:	int       =   use_labels
           lowerCAmelCase					:	List[Any]       =   vocab_size
           lowerCAmelCase					:	str       =   hidden_size
           lowerCAmelCase					:	List[Any]       =   num_hidden_layers
           lowerCAmelCase					:	Any       =   num_attention_heads
           lowerCAmelCase					:	List[Any]       =   intermediate_size
           lowerCAmelCase					:	Optional[int]       =   hidden_act
           lowerCAmelCase					:	Dict       =   hidden_dropout_prob
           lowerCAmelCase					:	Optional[int]       =   attention_probs_dropout_prob
           lowerCAmelCase					:	List[Any]       =   max_position_embeddings
           lowerCAmelCase					:	Union[str, Any]       =   eos_token_id
           lowerCAmelCase					:	Dict       =   pad_token_id
           lowerCAmelCase					:	Optional[Any]       =   bos_token_id
           lowerCAmelCase					:	List[str]       =   initializer_range






     def      lowerCamelCase__     (	self  :					Dict				):
           lowerCAmelCase					:	List[Any]       =   np.clip(ids_tensor([self.batch_size, self.seq_length - 1]					,				self.vocab_size				)					,				3					,				self.vocab_size				)
           lowerCAmelCase					:	str       =   np.concatenate((input_ids, 2 * np.ones((self.batch_size, 1)					,				dtype=np.intaa				))					,				-1				)

           lowerCAmelCase					:	Tuple       =   shift_tokens_right(UpperCamelCase_					,				1					,				2				)

           lowerCAmelCase					:	Union[str, Any]       =   BlenderbotConfig(
               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_id=self.eos_token_id					,				bos_token_id=self.bos_token_id					,				pad_token_id=self.pad_token_id					,				initializer_range=self.initializer_range					,				use_cache=UpperCamelCase_					,				)
           lowerCAmelCase					:	Union[str, Any]       =   prepare_blenderbot_inputs_dict(UpperCamelCase_					,				UpperCamelCase_					,				UpperCamelCase_				)
           return config, inputs_dict






     def      lowerCamelCase__     (	self  :					str				):
           lowerCAmelCase,      lowerCAmelCase					:	Optional[int]       =   self.prepare_config_and_inputs()
           return config, inputs_dict






     def      lowerCamelCase__     (	self  :					List[str]					,				UpperCamelCase_  :					List[str]					,				UpperCamelCase_  :					str					,				UpperCamelCase_  :					Tuple				):
           lowerCAmelCase					:	int       =   2_0
           lowerCAmelCase					:	Tuple       =   model_class_name(UpperCamelCase_				)

           lowerCAmelCase					:	Optional[Any]       =   model.encode(inputs_dict['''input_ids''']				)

           lowerCAmelCase,      lowerCAmelCase					:	str       =   (
               inputs_dict['''decoder_input_ids'''],
               inputs_dict['''decoder_attention_mask'''],
           )

           lowerCAmelCase					:	str       =   model.init_cache(decoder_input_ids.shape[0]					,				UpperCamelCase_					,				UpperCamelCase_				)
           lowerCAmelCase					:	Union[str, Any]       =   jnp.ones((decoder_input_ids.shape[0], max_decoder_length)					,				dtype='''i4'''				)

           lowerCAmelCase					:	Tuple       =   jnp.broadcast_to(
               jnp.arange(decoder_input_ids.shape[-1] - 1				)[None, :]					,				(decoder_input_ids.shape[0], decoder_input_ids.shape[-1] - 1)					,				)
           lowerCAmelCase					:	List[Any]       =   model.decode(
               decoder_input_ids[:, :-1]					,				UpperCamelCase_					,				decoder_attention_mask=UpperCamelCase_					,				past_key_values=UpperCamelCase_					,				decoder_position_ids=UpperCamelCase_					,				)

           lowerCAmelCase					:	Any       =   jnp.array(decoder_input_ids.shape[0] * [[decoder_input_ids.shape[-1] - 1]]					,				dtype='''i4'''				)
           lowerCAmelCase					:	List[str]       =   model.decode(
               decoder_input_ids[:, -1:]					,				UpperCamelCase_					,				decoder_attention_mask=UpperCamelCase_					,				past_key_values=outputs_cache.past_key_values					,				decoder_position_ids=UpperCamelCase_					,				)

           lowerCAmelCase					:	Union[str, Any]       =   model.decode(UpperCamelCase_					,				UpperCamelCase_				)

           lowerCAmelCase					:	int       =   np.max(np.abs((outputs_cache_next[0][:, -1, :5] - outputs[0][:, -1, :5])				)				)
           self.parent.assertTrue(diff < 1E-3					,				msg=F'''Max diff is {diff}'''				)






     def      lowerCamelCase__     (	self  :					Union[str, Any]					,				UpperCamelCase_  :					Any					,				UpperCamelCase_  :					Any					,				UpperCamelCase_  :					List[str]				):
           lowerCAmelCase					:	Optional[int]       =   2_0
           lowerCAmelCase					:	List[Any]       =   model_class_name(UpperCamelCase_				)

           lowerCAmelCase					:	Union[str, Any]       =   model.encode(inputs_dict['''input_ids''']				)

           lowerCAmelCase,      lowerCAmelCase					:	Optional[int]       =   (
               inputs_dict['''decoder_input_ids'''],
               inputs_dict['''decoder_attention_mask'''],
           )

           lowerCAmelCase					:	str       =   jnp.concatenate(
               [
                   decoder_attention_mask,
                   jnp.zeros((decoder_attention_mask.shape[0], max_decoder_length - decoder_attention_mask.shape[1])				),
               ]					,				axis=-1					,				)

           lowerCAmelCase					:	Union[str, Any]       =   model.init_cache(decoder_input_ids.shape[0]					,				UpperCamelCase_					,				UpperCamelCase_				)
           lowerCAmelCase					:	str       =   jnp.broadcast_to(
               jnp.arange(decoder_input_ids.shape[-1] - 1				)[None, :]					,				(decoder_input_ids.shape[0], decoder_input_ids.shape[-1] - 1)					,				)

           lowerCAmelCase					:	Dict       =   model.decode(
               decoder_input_ids[:, :-1]					,				UpperCamelCase_					,				decoder_attention_mask=UpperCamelCase_					,				past_key_values=UpperCamelCase_					,				decoder_position_ids=UpperCamelCase_					,				)
           lowerCAmelCase					:	Any       =   jnp.array(decoder_input_ids.shape[0] * [[decoder_input_ids.shape[-1] - 1]]					,				dtype='''i4'''				)
           lowerCAmelCase					:	Union[str, Any]       =   model.decode(
               decoder_input_ids[:, -1:]					,				UpperCamelCase_					,				past_key_values=outputs_cache.past_key_values					,				decoder_attention_mask=UpperCamelCase_					,				decoder_position_ids=UpperCamelCase_					,				)

           lowerCAmelCase					:	Dict       =   model.decode(UpperCamelCase_					,				UpperCamelCase_					,				decoder_attention_mask=UpperCamelCase_				)

           lowerCAmelCase					:	Any       =   np.max(np.abs((outputs_cache_next[0][:, -1, :5] - outputs[0][:, -1, :5])				)				)
           self.parent.assertTrue(diff < 1E-3					,				msg=F'''Max diff is {diff}'''				)



@require_flax
class 		snake_case_(       unittest.TestCase			):
     __UpperCamelCase  =					99






     def      lowerCamelCase__     (	self  :					str				):
           lowerCAmelCase					:	List[Any]       =   np.array(
               [
                   [7_1, 8_2, 1_8, 3_3, 4_6, 9_1, 2],
                   [6_8, 3_4, 2_6, 5_8, 3_0, 8_2, 2],
                   [5, 9_7, 1_7, 3_9, 9_4, 4_0, 2],
                   [7_6, 8_3, 9_4, 2_5, 7_0, 7_8, 2],
                   [8_7, 5_9, 4_1, 3_5, 4_8, 6_6, 2],
                   [5_5, 1_3, 1_6, 5_8, 5, 2, 1],  # note padding
                   [6_4, 2_7, 3_1, 5_1, 1_2, 7_5, 2],
                   [5_2, 6_4, 8_6, 1_7, 8_3, 3_9, 2],
                   [4_8, 6_1, 9, 2_4, 7_1, 8_2, 2],
                   [2_6, 1, 6_0, 4_8, 2_2, 1_3, 2],
                   [2_1, 5, 6_2, 2_8, 1_4, 7_6, 2],
                   [4_5, 9_8, 3_7, 8_6, 5_9, 4_8, 2],
                   [7_0, 7_0, 5_0, 9, 2_8, 0, 2],
               ]					,				dtype=np.intaa					,				)

           lowerCAmelCase					:	List[Any]       =   input_ids.shape[0]
           lowerCAmelCase					:	Optional[Any]       =   BlenderbotConfig(
               vocab_size=self.vocab_size					,				d_model=2_4					,				encoder_layers=2					,				decoder_layers=2					,				encoder_attention_heads=2					,				decoder_attention_heads=2					,				encoder_ffn_dim=3_2					,				decoder_ffn_dim=3_2					,				max_position_embeddings=4_8					,				eos_token_id=2					,				pad_token_id=1					,				bos_token_id=0					,				)
           return config, input_ids, batch_size






     def      lowerCamelCase__     (	self  :					List[str]				):
           lowerCAmelCase,      lowerCAmelCase,      lowerCAmelCase					:	Any       =   self._get_config_and_data()
           lowerCAmelCase					:	Any       =   FlaxBlenderbotForConditionalGeneration(UpperCamelCase_				)
           lowerCAmelCase					:	Optional[int]       =   lm_model(input_ids=UpperCamelCase_				)
           lowerCAmelCase					:	Tuple       =   (batch_size, input_ids.shape[1], config.vocab_size)
           self.assertEqual(outputs['''logits'''].shape					,				UpperCamelCase_				)






     def      lowerCamelCase__     (	self  :					Any				):
           lowerCAmelCase					:	Any       =   BlenderbotConfig(
               vocab_size=self.vocab_size					,				d_model=1_4					,				encoder_layers=2					,				decoder_layers=2					,				encoder_attention_heads=2					,				decoder_attention_heads=2					,				encoder_ffn_dim=8					,				decoder_ffn_dim=8					,				max_position_embeddings=4_8					,				)
           lowerCAmelCase					:	int       =   FlaxBlenderbotForConditionalGeneration(UpperCamelCase_				)
           lowerCAmelCase					:	Optional[Any]       =   np.array([[7_1, 8_2, 1_8, 3_3, 4_6, 9_1, 2], [6_8, 3_4, 2_6, 5_8, 3_0, 2, 1]]					,				dtype=np.intaa				)
           lowerCAmelCase					:	List[str]       =   np.array([[8_2, 7_1, 8_2, 1_8, 2], [5_8, 6_8, 2, 1, 1]]					,				dtype=np.intaa				)
           lowerCAmelCase					:	List[Any]       =   lm_model(input_ids=UpperCamelCase_					,				decoder_input_ids=UpperCamelCase_				)
           lowerCAmelCase					:	str       =   (*summary.shape, config.vocab_size)
           self.assertEqual(outputs['''logits'''].shape					,				UpperCamelCase_				)






     def      lowerCamelCase__     (	self  :					int				):
           lowerCAmelCase					:	Any       =   np.array([[7_1, 8_2, 1_8, 3_3, 2, 1, 1], [6_8, 3_4, 2_6, 5_8, 3_0, 8_2, 2]]					,				dtype=np.intaa				)
           lowerCAmelCase					:	Tuple       =   shift_tokens_right(UpperCamelCase_					,				1					,				2				)
           lowerCAmelCase					:	Optional[int]       =   np.equal(UpperCamelCase_					,				1				).astype(np.floataa				).sum()
           lowerCAmelCase					:	str       =   np.equal(UpperCamelCase_					,				1				).astype(np.floataa				).sum()
           self.assertEqual(shifted.shape					,				input_ids.shape				)
           self.assertEqual(UpperCamelCase_					,				n_pad_before - 1				)
           self.assertTrue(np.equal(shifted[:, 0]					,				2				).all()				)



@require_flax
class 		snake_case_(       a__							,					unittest.TestCase							,					a__			):
     __UpperCamelCase  =					True
     __UpperCamelCase  =					(
         (
             FlaxBlenderbotModel,
             FlaxBlenderbotForConditionalGeneration,
         )
         if is_flax_available()
         else ()
     )
     __UpperCamelCase  =					(FlaxBlenderbotForConditionalGeneration,) if is_flax_available() else ()






     def      lowerCamelCase__     (	self  :					Dict				):
           lowerCAmelCase					:	Any       =   FlaxBlenderbotModelTester(self				)






     def      lowerCamelCase__     (	self  :					Tuple				):
           lowerCAmelCase,      lowerCAmelCase					:	List[str]       =   self.model_tester.prepare_config_and_inputs()
           for model_class in self.all_model_classes:
                 self.model_tester.check_use_cache_forward(UpperCamelCase_					,				UpperCamelCase_					,				UpperCamelCase_				)






     def      lowerCamelCase__     (	self  :					List[str]				):
           lowerCAmelCase,      lowerCAmelCase					:	Union[str, Any]       =   self.model_tester.prepare_config_and_inputs()
           for model_class in self.all_model_classes:
                 self.model_tester.check_use_cache_forward_with_attn_mask(UpperCamelCase_					,				UpperCamelCase_					,				UpperCamelCase_				)






     def      lowerCamelCase__     (	self  :					Tuple				):
           lowerCAmelCase,      lowerCAmelCase					:	str       =   self.model_tester.prepare_config_and_inputs_for_common()

           for model_class in self.all_model_classes:
                 with self.subTest(model_class.__name__				):
                       lowerCAmelCase					:	Optional[int]       =   self._prepare_for_class(UpperCamelCase_					,				UpperCamelCase_				)
                       lowerCAmelCase					:	Optional[Any]       =   model_class(UpperCamelCase_				)

                       @jax.jit
                       def encode_jitted(UpperCamelCase_  :					List[str]					,				UpperCamelCase_  :					Optional[Any]=None					,				**UpperCamelCase_  :					List[str]				):
                             return model.encode(input_ids=UpperCamelCase_					,				attention_mask=UpperCamelCase_				)

                       with self.subTest('''JIT Enabled'''				):
                             lowerCAmelCase					:	List[str]       =   encode_jitted(**UpperCamelCase_				).to_tuple()

                       with self.subTest('''JIT Disabled'''				):
                             with jax.disable_jit():
                                   lowerCAmelCase					:	int       =   encode_jitted(**UpperCamelCase_				).to_tuple()

                       self.assertEqual(len(UpperCamelCase_				)					,				len(UpperCamelCase_				)				)
                       for jitted_output, output in zip(UpperCamelCase_					,				UpperCamelCase_				):
                             self.assertEqual(jitted_output.shape					,				output.shape				)






     def      lowerCamelCase__     (	self  :					Union[str, Any]				):
           lowerCAmelCase,      lowerCAmelCase					:	Any       =   self.model_tester.prepare_config_and_inputs_for_common()

           for model_class in self.all_model_classes:
                 with self.subTest(model_class.__name__				):
                       lowerCAmelCase					:	Tuple       =   model_class(UpperCamelCase_				)
                       lowerCAmelCase					:	int       =   model.encode(inputs_dict['''input_ids''']					,				inputs_dict['''attention_mask''']				)

                       lowerCAmelCase					:	List[Any]       =   {
                           '''decoder_input_ids''': inputs_dict['''decoder_input_ids'''],
                           '''decoder_attention_mask''': inputs_dict['''decoder_attention_mask'''],
                           '''encoder_outputs''': encoder_outputs,
                       }

                       @jax.jit
                       def decode_jitted(UpperCamelCase_  :					Union[str, Any]					,				UpperCamelCase_  :					Dict					,				UpperCamelCase_  :					int				):
                             return model.decode(
                                 decoder_input_ids=UpperCamelCase_					,				decoder_attention_mask=UpperCamelCase_					,				encoder_outputs=UpperCamelCase_					,				)

                       with self.subTest('''JIT Enabled'''				):
                             lowerCAmelCase					:	str       =   decode_jitted(**UpperCamelCase_				).to_tuple()

                       with self.subTest('''JIT Disabled'''				):
                             with jax.disable_jit():
                                   lowerCAmelCase					:	Union[str, Any]       =   decode_jitted(**UpperCamelCase_				).to_tuple()

                       self.assertEqual(len(UpperCamelCase_				)					,				len(UpperCamelCase_				)				)
                       for jitted_output, output in zip(UpperCamelCase_					,				UpperCamelCase_				):
                             self.assertEqual(jitted_output.shape					,				output.shape				)






     @slow
     def      lowerCamelCase__     (	self  :					Optional[int]				):
           for model_class_name in self.all_model_classes:
                 lowerCAmelCase					:	Optional[int]       =   model_class_name.from_pretrained('''facebook/blenderbot-400M-distill'''				)
                 # FlaxBlenderbotForSequenceClassification expects eos token in input_ids
                 lowerCAmelCase					:	int       =   np.ones((1, 1)				) * model.config.eos_token_id
                 lowerCAmelCase					:	List[str]       =   model(UpperCamelCase_				)
                 self.assertIsNotNone(UpperCamelCase_				)






     @unittest.skipUnless(jax_device != '''cpu'''					,				'''3B test too slow on CPU.'''				)
     @slow
     def      lowerCamelCase__     (	self  :					Union[str, Any]				):
           lowerCAmelCase					:	Dict       =   {'''num_beams''': 1, '''early_stopping''': True, '''min_length''': 1_5, '''max_length''': 2_5}
           lowerCAmelCase					:	List[str]       =   {'''skip_special_tokens''': True, '''clean_up_tokenization_spaces''': True}

           lowerCAmelCase					:	Tuple       =   FlaxBlenderbotForConditionalGeneration.from_pretrained('''facebook/blenderbot-3B'''					,				from_pt=UpperCamelCase_				)
           lowerCAmelCase					:	Union[str, Any]       =   BlenderbotTokenizer.from_pretrained('''facebook/blenderbot-3B'''				)

           lowerCAmelCase					:	List[Any]       =   ['''Sam''']
           lowerCAmelCase					:	str       =   tokenizer(UpperCamelCase_					,				return_tensors='''jax'''				)

           lowerCAmelCase					:	Union[str, Any]       =   model.generate(**UpperCamelCase_					,				**UpperCamelCase_				)
           lowerCAmelCase					:	Tuple       =   '''Sam is a great name. It means "sun" in Gaelic.'''

           lowerCAmelCase					:	Union[str, Any]       =   tokenizer.batch_decode(UpperCamelCase_					,				**UpperCamelCase_				)
           assert generated_txt[0].strip() == tgt_text


