





import os
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


UpperCamelCase__   : Optional[Any]					  = logging.get_logger(__name__)


UpperCamelCase__   : str					  = """▁"""

UpperCamelCase__   : str					  = {"""vocab_file""": """spiece.model"""}

UpperCamelCase__   : List[Any]					  = {
    """vocab_file""": {
        """google/reformer-crime-and-punishment""": (
            """https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model"""
        )
    }
}

UpperCamelCase__   : Union[str, Any]					  = {
    """google/reformer-crime-and-punishment""": 52_42_88,
}







class   _UpperCamelCase  (       A_  ):







					'''simple docstring'''

					lowerCamelCase     :     int			    =       VOCAB_FILES_NAMES
					lowerCamelCase     :     int			    =       PRETRAINED_VOCAB_FILES_MAP
					lowerCamelCase     :     Optional[int]			    =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					lowerCamelCase     :     Union[str, Any]			    =       ['input_ids', 'attention_mask']





					def __init__(						self    :  Union[str, Any] ,					__lowercase    :  Optional[int] ,					__lowercase    :  Optional[Any]="</s>" ,					__lowercase    :  Optional[Any]="<unk>" ,					__lowercase    :  int=[] ,					__lowercase    :  Optional[Dict[str, Any]] = None ,					**__lowercase    :  List[str] ,					):






						'''simple docstring'''







						UpperCAmelCase_								=     {} if sp_model_kwargs is None else sp_model_kwargs

						super().__init__(
						    eos_token=__lowercase ,					unk_token=__lowercase ,					additional_special_tokens=__lowercase ,					sp_model_kwargs=self.sp_model_kwargs ,					**__lowercase ,					)

						UpperCAmelCase_								=     vocab_file
						UpperCAmelCase_								=     spm.SentencePieceProcessor(**self.sp_model_kwargs		)
						self.sp_model.Load(__lowercase		)





					@property
					def        SCREAMING_SNAKE_CASE							(						self    :  Tuple		):






						'''simple docstring'''







						return self.sp_model.get_piece_size()





					def        SCREAMING_SNAKE_CASE							(						self    :  Dict		):






						'''simple docstring'''







						UpperCAmelCase_								=     {self.convert_ids_to_tokens(__lowercase		): i for i in range(self.vocab_size		)}
						vocab.update(self.added_tokens_encoder		)
						return vocab





					def __getstate__(						self    :  Optional[Any]		):






						'''simple docstring'''







						UpperCAmelCase_								=     self.__dict__.copy()
						UpperCAmelCase_								=     None
						return state





					def __setstate__(						self    :  Dict ,					__lowercase    :  List[Any]		):






						'''simple docstring'''







						UpperCAmelCase_								=     d

						# for backward compatibility
						if not hasattr(self ,					"""sp_model_kwargs"""		):
							UpperCAmelCase_								=     {}

						UpperCAmelCase_								=     spm.SentencePieceProcessor(**self.sp_model_kwargs		)
						self.sp_model.Load(self.vocab_file		)





					def        SCREAMING_SNAKE_CASE							(						self    :  int ,					__lowercase    :  str		):






						'''simple docstring'''







						return self.sp_model.encode(__lowercase ,					out_type=__lowercase		)





					def        SCREAMING_SNAKE_CASE							(						self    :  Tuple ,					__lowercase    :  List[Any]		):






						'''simple docstring'''







						return self.sp_model.piece_to_id(__lowercase		)





					def        SCREAMING_SNAKE_CASE							(						self    :  str ,					__lowercase    :  Optional[Any]		):






						'''simple docstring'''







						if index < self.sp_model.get_piece_size():
							UpperCAmelCase_								=     self.sp_model.IdToPiece(__lowercase		)
						return token





					def        SCREAMING_SNAKE_CASE							(						self    :  Any ,					__lowercase    :  Dict		):






						'''simple docstring'''







						UpperCAmelCase_								=     []
						UpperCAmelCase_								=     """"""
						for token in tokens:
							# make sure that special tokens are not decoded using sentencepiece model
							if token in self.all_special_tokens:
								out_string += self.sp_model.decode(__lowercase		) + token
								UpperCAmelCase_								=     []
							else:
								current_sub_tokens.append(__lowercase		)
						out_string += self.sp_model.decode(__lowercase		)
						return out_string.strip()





					def        SCREAMING_SNAKE_CASE							(						self    :  Optional[int] ,					__lowercase    :  str ,					__lowercase    :  Optional[str] = None		):






						'''simple docstring'''







						if not os.path.isdir(__lowercase		):
							logger.error(F"""Vocabulary path ({save_directory}) should be a directory"""		)
							return
						UpperCAmelCase_								=     os.path.join(
						    __lowercase ,					(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]		)

						if os.path.abspath(self.vocab_file		) != os.path.abspath(__lowercase		) and os.path.isfile(self.vocab_file		):
							copyfile(self.vocab_file ,					__lowercase		)
						elif not os.path.isfile(self.vocab_file		):
							with open(__lowercase ,					"""wb"""		) as fi:
								UpperCAmelCase_								=     self.sp_model.serialized_model_proto()
								fi.write(__lowercase		)

						return (out_vocab_file,)









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   _UpperCamelCase  (       A_  ):







					'''simple docstring'''

					def        SCREAMING_SNAKE_CASE							(						self    :  Optional[Any]		):






						'''simple docstring'''







						UpperCAmelCase_								=     tempfile.mkdtemp()
						UpperCAmelCase_								=     8

						# DPR tok
						UpperCAmelCase_								=     [
						    """[UNK]""",
						    """[CLS]""",
						    """[SEP]""",
						    """[PAD]""",
						    """[MASK]""",
						    """want""",
						    """##want""",
						    """##ed""",
						    """wa""",
						    """un""",
						    """runn""",
						    """##ing""",
						    """,""",
						    """low""",
						    """lowest""",
						]
						UpperCAmelCase_								=     os.path.join(self.tmpdirname ,					"""dpr_tokenizer"""		)
						os.makedirs(__lowercase ,					exist_ok=__lowercase		)
						UpperCAmelCase_								=     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
						UpperCAmelCase_								=     [
						    """l""",
						    """o""",
						    """w""",
						    """e""",
						    """r""",
						    """s""",
						    """t""",
						    """i""",
						    """d""",
						    """n""",
						    """\u0120""",
						    """\u0120l""",
						    """\u0120n""",
						    """\u0120lo""",
						    """\u0120low""",
						    """er""",
						    """\u0120lowest""",
						    """\u0120newer""",
						    """\u0120wider""",
						    """<unk>""",
						]
						UpperCAmelCase_								=     dict(zip(__lowercase ,					range(len(__lowercase		)		)		)		)
						UpperCAmelCase_								=     ["""#version: 0.2""", """\u0120 l""", """\u0120l o""", """\u0120lo w""", """e r""", """"""]
						UpperCAmelCase_								=     {"""unk_token""": """<unk>"""}

						UpperCAmelCase_								=     os.path.join(self.tmpdirname ,					"""bart_tokenizer"""		)
						os.makedirs(__lowercase ,					exist_ok=__lowercase		)
						UpperCAmelCase_								=     os.path.join(__lowercase ,					BART_VOCAB_FILES_NAMES["""vocab_file"""]		)
						UpperCAmelCase_								=     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        SCREAMING_SNAKE_CASE							(						self    :  Union[str, Any]		):






						'''simple docstring'''







						return DPRQuestionEncoderTokenizer.from_pretrained(os.path.join(self.tmpdirname ,					"""dpr_tokenizer"""		)		)





					def        SCREAMING_SNAKE_CASE							(						self    :  List[Any]		):






						'''simple docstring'''







						return BartTokenizer.from_pretrained(os.path.join(self.tmpdirname ,					"""bart_tokenizer"""		)		)





					def        SCREAMING_SNAKE_CASE							(						self    :  str		):






						'''simple docstring'''







						shutil.rmtree(self.tmpdirname		)





					@require_tokenizers
					def        SCREAMING_SNAKE_CASE							(						self    :  Union[str, Any]		):






						'''simple docstring'''







						UpperCAmelCase_								=     os.path.join(self.tmpdirname ,					"""rag_tokenizer"""		)
						UpperCAmelCase_								=     RagConfig(question_encoder=DPRConfig().to_dict() ,					generator=BartConfig().to_dict()		)
						UpperCAmelCase_								=     RagTokenizer(question_encoder=self.get_dpr_tokenizer() ,					generator=self.get_bart_tokenizer()		)
						rag_config.save_pretrained(__lowercase		)
						rag_tokenizer.save_pretrained(__lowercase		)
						UpperCAmelCase_								=     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        SCREAMING_SNAKE_CASE							(						self    :  List[Any]		):






						'''simple docstring'''







						UpperCAmelCase_								=     RagTokenizer.from_pretrained("""facebook/rag-token-nq"""		)
						UpperCAmelCase_								=     [
						    """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""",
						]
						UpperCAmelCase_								=     tokenizer(__lowercase		)
						self.assertIsNotNone(__lowercase		)





					@slow
					def        SCREAMING_SNAKE_CASE							(						self    :  List[str]		):






						'''simple docstring'''







						UpperCAmelCase_								=     RagTokenizer.from_pretrained("""facebook/rag-sequence-nq"""		)
						UpperCAmelCase_								=     [
						    """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""",
						]
						UpperCAmelCase_								=     tokenizer(__lowercase		)
						self.assertIsNotNone(__lowercase		)


