

"""simple docstring"""




import os
import warnings
from typing import List, Optional

from ...tokenization_utils_base import BatchEncoding
from ...utils import logging
from .configuration_rag import RagConfig


A_							:			int											= logging.get_logger(__name__)





class    lowerCamelCase						:

			def __init__(					self				:						List[str]    ,				__UpperCAmelCase				:						List[str]    ,				__UpperCAmelCase				:						List[str]       )   ->    Union[str, Any]:
						SCREAMING_SNAKE_CASE__								=      question_encoder
						SCREAMING_SNAKE_CASE__								=      generator
						SCREAMING_SNAKE_CASE__								=      self.question_encoder

			def 					SCREAMING_SNAKE_CASE				(					self				:						Optional[Any]    ,				__UpperCAmelCase				:						Tuple       )   ->    List[Any]:
						if os.path.isfile(__UpperCAmelCase       ):
									raise ValueError(F"""Provided path ({save_directory}) should be a directory, not a file"""       )
						os.makedirs(__UpperCAmelCase    ,				exist_ok=__UpperCAmelCase       )
						SCREAMING_SNAKE_CASE__								=      os.path.join(__UpperCAmelCase    ,				"""question_encoder_tokenizer"""       )
						SCREAMING_SNAKE_CASE__								=      os.path.join(__UpperCAmelCase    ,				"""generator_tokenizer"""       )
						self.question_encoder.save_pretrained(__UpperCAmelCase       )
						self.generator.save_pretrained(__UpperCAmelCase       )

			@classmethod
			def 					SCREAMING_SNAKE_CASE				(					cls				:						Union[str, Any]    ,				__UpperCAmelCase				:						Optional[Any]    ,				**__UpperCAmelCase				:						int       )   ->    Union[str, Any]:
						# dynamically import AutoTokenizer
						from ..auto.tokenization_auto import AutoTokenizer

						SCREAMING_SNAKE_CASE__								=      kwargs.pop("""config"""    ,				__UpperCAmelCase       )

						if config is None:
									SCREAMING_SNAKE_CASE__								=      RagConfig.from_pretrained(__UpperCAmelCase       )

						SCREAMING_SNAKE_CASE__								=      AutoTokenizer.from_pretrained(
						    __UpperCAmelCase    ,				config=config.question_encoder    ,				subfolder="""question_encoder_tokenizer"""       )
						SCREAMING_SNAKE_CASE__								=      AutoTokenizer.from_pretrained(
						    __UpperCAmelCase    ,				config=config.generator    ,				subfolder="""generator_tokenizer"""       )
						return cls(question_encoder=__UpperCAmelCase    ,				generator=__UpperCAmelCase       )

			def __call__(					self				:						Tuple    ,				*__UpperCAmelCase				:						int    ,				**__UpperCAmelCase				:						str       )   ->    Union[str, Any]:
						return self.current_tokenizer(*__UpperCAmelCase    ,				**__UpperCAmelCase       )

			def 					SCREAMING_SNAKE_CASE				(					self				:						Optional[Any]    ,				*__UpperCAmelCase				:						Any    ,				**__UpperCAmelCase				:						List[Any]       )   ->    str:
						return self.generator.batch_decode(*__UpperCAmelCase    ,				**__UpperCAmelCase       )

			def 					SCREAMING_SNAKE_CASE				(					self				:						Union[str, Any]    ,				*__UpperCAmelCase				:						Optional[Any]    ,				**__UpperCAmelCase				:						List[str]       )   ->    int:
						return self.generator.decode(*__UpperCAmelCase    ,				**__UpperCAmelCase       )

			def 					SCREAMING_SNAKE_CASE				(					self				:						Union[str, Any]       )   ->    Dict:
						SCREAMING_SNAKE_CASE__								=      self.question_encoder

			def 					SCREAMING_SNAKE_CASE				(					self				:						str       )   ->    Optional[Any]:
						SCREAMING_SNAKE_CASE__								=      self.generator





			def 					SCREAMING_SNAKE_CASE				(					self				:						Tuple    ,				__UpperCAmelCase				:						List[str]    ,				__UpperCAmelCase				:						Optional[List[str]] = None    ,				__UpperCAmelCase				:						Optional[int] = None    ,				__UpperCAmelCase				:						Optional[int] = None    ,				__UpperCAmelCase				:						str = "longest"    ,				__UpperCAmelCase				:						str = None    ,				__UpperCAmelCase				:						bool = True    ,				**__UpperCAmelCase				:						List[str]    ,				)   ->    BatchEncoding:
						warnings.warn(
						    """`prepare_seq2seq_batch` is deprecated and will be removed in version 5 of 🤗 Transformers. Use the """
						    """regular `__call__` method to prepare your inputs and the tokenizer under the `with_target_tokenizer` """
						    """context manager to prepare your targets. See the documentation of your specific tokenizer for more """
						    """details"""    ,				__UpperCAmelCase    ,				)
						if max_length is None:
									SCREAMING_SNAKE_CASE__								=      self.current_tokenizer.model_max_length
						SCREAMING_SNAKE_CASE__								=      self(
						    __UpperCAmelCase    ,				add_special_tokens=__UpperCAmelCase    ,				return_tensors=__UpperCAmelCase    ,				max_length=__UpperCAmelCase    ,				padding=__UpperCAmelCase    ,				truncation=__UpperCAmelCase    ,				**__UpperCAmelCase    ,				)
						if tgt_texts is None:
									return model_inputs
						# Process tgt_texts
						if max_target_length is None:
									SCREAMING_SNAKE_CASE__								=      self.current_tokenizer.model_max_length
						SCREAMING_SNAKE_CASE__								=      self(
						    text_target=__UpperCAmelCase    ,				add_special_tokens=__UpperCAmelCase    ,				return_tensors=__UpperCAmelCase    ,				padding=__UpperCAmelCase    ,				max_length=__UpperCAmelCase    ,				truncation=__UpperCAmelCase    ,				**__UpperCAmelCase    ,				)
						SCREAMING_SNAKE_CASE__								=      labels["""input_ids"""]
						return model_inputs





"""simple docstring"""




import pytest
import requests

from datasets.utils.file_utils import http_head

from .utils import OfflineSimulationMode, RequestWouldHangIndefinitelyError, offline

@pytest.mark.integration
def 	A       (     ):




			'''simple docstring'''


			with offline(OfflineSimulationMode.CONNECTION_TIMES_OUT    ):
						with pytest.raises(snake_case__    ):
									requests.request("""GET"""		,				"""https://huggingface.co"""    )
						with pytest.raises(requests.exceptions.ConnectTimeout    ):
									requests.request("""GET"""		,				"""https://huggingface.co"""		,				timeout=1.0    )

@pytest.mark.integration
def 	A       (     ):




			'''simple docstring'''


			with offline(OfflineSimulationMode.CONNECTION_FAILS    ):
						with pytest.raises(requests.exceptions.ConnectionError    ):
									requests.request("""GET"""		,				"""https://huggingface.co"""    )




def 	A       (     ):




			'''simple docstring'''


			with offline(OfflineSimulationMode.HF_DATASETS_OFFLINE_SET_TO_1    ):
						with pytest.raises(snake_case__    ):
									http_head("""https://huggingface.co"""    )


