


import json
import os
import shutil
import tempfile
from unittest import TestCase

from transformers import BartTokenizer, BartTokenizerFast, DPRQuestionEncoderTokenizer, DPRQuestionEncoderTokenizerFast
from transformers.models.bart.configuration_bart import BartConfig
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES as DPR_VOCAB_FILES_NAMES
from transformers.models.dpr.configuration_dpr import DPRConfig
from transformers.models.roberta.tokenization_roberta import VOCAB_FILES_NAMES as BART_VOCAB_FILES_NAMES
from transformers.testing_utils import require_faiss, require_tokenizers, require_torch, slow
from transformers.utils import is_datasets_available, is_faiss_available, is_torch_available


if is_torch_available() and is_datasets_available() and is_faiss_available():
						from transformers.models.rag.configuration_rag import RagConfig
						from transformers.models.rag.tokenization_rag import RagTokenizer







@require_faiss
@require_torch
class 				snake_case__(							UpperCAmelCase__							):







						'''simple docstring'''




						def 						lowercase_ (				self							)					->    str:
										lowerCAmelCase_ :      Optional[Any]    				=				tempfile.mkdtemp()
										lowerCAmelCase_ :      Dict    				=				8

										# DPR tok
										lowerCAmelCase_ :      Optional[int]    				=				[
										    '''[UNK]''',
										    '''[CLS]''',
										    '''[SEP]''',
										    '''[PAD]''',
										    '''[MASK]''',
										    '''want''',
										    '''##want''',
										    '''##ed''',
										    '''wa''',
										    '''un''',
										    '''runn''',
										    '''##ing''',
										    ''',''',
										    '''low''',
										    '''lowest''',
										]
										lowerCAmelCase_ :      str    				=				os.path.join(self.tmpdirname   ,						'''dpr_tokenizer'''							)
										os.makedirs(__lowercase   ,						exist_ok=__lowercase							)
										lowerCAmelCase_ :      Any    				=				os.path.join(__lowercase   ,						DPR_VOCAB_FILES_NAMES['''vocab_file''']							)
										with open(self.vocab_file   ,						'''w'''   ,						encoding='''utf-8'''							) as vocab_writer:
														vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]							)							)

										# BART tok
										lowerCAmelCase_ :      Dict    				=				[
										    '''l''',
										    '''o''',
										    '''w''',
										    '''e''',
										    '''r''',
										    '''s''',
										    '''t''',
										    '''i''',
										    '''d''',
										    '''n''',
										    '''\u0120''',
										    '''\u0120l''',
										    '''\u0120n''',
										    '''\u0120lo''',
										    '''\u0120low''',
										    '''er''',
										    '''\u0120lowest''',
										    '''\u0120newer''',
										    '''\u0120wider''',
										    '''<unk>''',
										]
										lowerCAmelCase_ :      Tuple    				=				dict(zip(__lowercase   ,						range(len(__lowercase							)							)							)							)
										lowerCAmelCase_ :      Optional[Any]    				=				['''#version: 0.2''', '''\u0120 l''', '''\u0120l o''', '''\u0120lo w''', '''e r''', '''''']
										lowerCAmelCase_ :      Tuple    				=				{'''unk_token''': '''<unk>'''}

										lowerCAmelCase_ :      Any    				=				os.path.join(self.tmpdirname   ,						'''bart_tokenizer'''							)
										os.makedirs(__lowercase   ,						exist_ok=__lowercase							)
										lowerCAmelCase_ :      Dict    				=				os.path.join(__lowercase   ,						BART_VOCAB_FILES_NAMES['''vocab_file''']							)
										lowerCAmelCase_ :      Union[str, Any]    				=				os.path.join(__lowercase   ,						BART_VOCAB_FILES_NAMES['''merges_file''']							)
										with open(self.vocab_file   ,						'''w'''   ,						encoding='''utf-8'''							) as fp:
														fp.write(json.dumps(__lowercase							) + '''\n'''							)
										with open(self.merges_file   ,						'''w'''   ,						encoding='''utf-8'''							) as fp:
														fp.write('''\n'''.join(__lowercase							)							)




						def 						lowercase_ (				self							)					->    DPRQuestionEncoderTokenizer:
										return DPRQuestionEncoderTokenizer.from_pretrained(os.path.join(self.tmpdirname   ,						'''dpr_tokenizer'''							)							)




						def 						lowercase_ (				self							)					->    BartTokenizer:
										return BartTokenizer.from_pretrained(os.path.join(self.tmpdirname   ,						'''bart_tokenizer'''							)							)




						def 						lowercase_ (				self							)					->    List[str]:
										shutil.rmtree(self.tmpdirname							)




						@require_tokenizers
						def 						lowercase_ (				self							)					->    Dict:
										lowerCAmelCase_ :      Optional[int]    				=				os.path.join(self.tmpdirname   ,						'''rag_tokenizer'''							)
										lowerCAmelCase_ :      List[Any]    				=				RagConfig(question_encoder=DPRConfig().to_dict()   ,						generator=BartConfig().to_dict()							)
										lowerCAmelCase_ :      int    				=				RagTokenizer(question_encoder=self.get_dpr_tokenizer()   ,						generator=self.get_bart_tokenizer()							)
										rag_config.save_pretrained(__lowercase							)
										rag_tokenizer.save_pretrained(__lowercase							)
										lowerCAmelCase_ :      Optional[int]    				=				RagTokenizer.from_pretrained(__lowercase   ,						config=__lowercase							)
										self.assertIsInstance(new_rag_tokenizer.question_encoder   ,						__lowercase							)
										self.assertEqual(new_rag_tokenizer.question_encoder.get_vocab()   ,						rag_tokenizer.question_encoder.get_vocab()							)
										self.assertIsInstance(new_rag_tokenizer.generator   ,						__lowercase							)
										self.assertEqual(new_rag_tokenizer.generator.get_vocab()   ,						rag_tokenizer.generator.get_vocab()							)




						@slow
						def 						lowercase_ (				self							)					->    List[Any]:
										lowerCAmelCase_ :      List[str]    				=				RagTokenizer.from_pretrained('''facebook/rag-token-nq'''							)
										lowerCAmelCase_ :      Any    				=				[
										    '''who got the first nobel prize in physics''',
										    '''when is the next deadpool movie being released''',
										    '''which mode is used for short wave broadcast service''',
										    '''who is the owner of reading football club''',
										    '''when is the next scandal episode coming out''',
										    '''when is the last time the philadelphia won the superbowl''',
										    '''what is the most current adobe flash player version''',
										    '''how many episodes are there in dragon ball z''',
										    '''what is the first step in the evolution of the eye''',
										    '''where is gall bladder situated in human body''',
										    '''what is the main mineral in lithium batteries''',
										    '''who is the president of usa right now''',
										    '''where do the greasers live in the outsiders''',
										    '''panda is a national animal of which country''',
										    '''what is the name of manchester united stadium''',
										]
										lowerCAmelCase_ :      int    				=				tokenizer(__lowercase							)
										self.assertIsNotNone(__lowercase							)




						@slow
						def 						lowercase_ (				self							)					->    Optional[int]:
										lowerCAmelCase_ :      List[Any]    				=				RagTokenizer.from_pretrained('''facebook/rag-sequence-nq'''							)
										lowerCAmelCase_ :      Any    				=				[
										    '''who got the first nobel prize in physics''',
										    '''when is the next deadpool movie being released''',
										    '''which mode is used for short wave broadcast service''',
										    '''who is the owner of reading football club''',
										    '''when is the next scandal episode coming out''',
										    '''when is the last time the philadelphia won the superbowl''',
										    '''what is the most current adobe flash player version''',
										    '''how many episodes are there in dragon ball z''',
										    '''what is the first step in the evolution of the eye''',
										    '''where is gall bladder situated in human body''',
										    '''what is the main mineral in lithium batteries''',
										    '''who is the president of usa right now''',
										    '''where do the greasers live in the outsiders''',
										    '''panda is a national animal of which country''',
										    '''what is the name of manchester united stadium''',
										]
										lowerCAmelCase_ :      Dict    				=				tokenizer(__lowercase							)
										self.assertIsNotNone(__lowercase							)



from ...configuration_utils import PretrainedConfig
from ...utils import logging


_UpperCAmelCase			:  Optional[int]     =logging.get_logger(__name__)

_UpperCAmelCase			:  Union[str, Any]     ={
    """abeja/gpt-neox-japanese-2.7b""": """https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/config.json""",
}







class 				snake_case__(							UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__      :  str					=							"""gpt_neox_japanese"""




						def __init__(				self   ,						__lowercase=3_2_0_0_0   ,						__lowercase=2_5_6_0   ,						__lowercase=3_2   ,						__lowercase=3_2   ,						__lowercase=4   ,						__lowercase="gelu"   ,						__lowercase=1.00   ,						__lowercase=1_0_0_0_0   ,						__lowercase=2_0_4_8   ,						__lowercase=0.02   ,						__lowercase=1e-5   ,						__lowercase=True   ,						__lowercase=3_1_9_9_6   ,						__lowercase=3_1_9_9_9   ,						__lowercase=0.1   ,						__lowercase=0.0   ,						**__lowercase   ,						)					->    str:
										super().__init__(bos_token_id=__lowercase   ,						eos_token_id=__lowercase   ,						**__lowercase							)
										lowerCAmelCase_ :      Optional[Any]    				=				vocab_size
										lowerCAmelCase_ :      Tuple    				=				max_position_embeddings
										lowerCAmelCase_ :      Optional[Any]    				=				hidden_size
										lowerCAmelCase_ :      Optional[Any]    				=				num_hidden_layers
										lowerCAmelCase_ :      str    				=				num_attention_heads
										lowerCAmelCase_ :      str    				=				intermediate_multiple_size
										lowerCAmelCase_ :      str    				=				hidden_act
										lowerCAmelCase_ :      Dict    				=				rotary_pct
										lowerCAmelCase_ :      Union[str, Any]    				=				rotary_emb_base
										lowerCAmelCase_ :      int    				=				initializer_range
										lowerCAmelCase_ :      Any    				=				layer_norm_eps
										lowerCAmelCase_ :      Optional[Any]    				=				use_cache
										lowerCAmelCase_ :      Tuple    				=				attention_dropout
										lowerCAmelCase_ :      Dict    				=				hidden_dropout