
'''simple docstring'''






import os
from tempfile import TemporaryDirectory
from unittest import TestCase

import pytest
from absl.testing import parameterized

from datasets import config
from datasets.arrow_reader import HF_GCP_BASE_URL
from datasets.builder import DatasetBuilder
from datasets.dataset_dict import IterableDatasetDict
from datasets.iterable_dataset import IterableDataset
from datasets.load import dataset_module_factory, import_main_class
from datasets.utils.file_utils import cached_path


UpperCAmelCase_							: Tuple =							[
    {'dataset': 'wikipedia', 'config_name': '20220301.de'},
    {'dataset': 'wikipedia', 'config_name': '20220301.en'},
    {'dataset': 'wikipedia', 'config_name': '20220301.fr'},
    {'dataset': 'wikipedia', 'config_name': '20220301.frr'},
    {'dataset': 'wikipedia', 'config_name': '20220301.it'},
    {'dataset': 'wikipedia', 'config_name': '20220301.simple'},
    {'dataset': 'snli', 'config_name': 'plain_text'},
    {'dataset': 'eli5', 'config_name': 'LFQA_reddit'},
    {'dataset': 'wiki40b', 'config_name': 'en'},
    {'dataset': 'wiki_dpr', 'config_name': 'psgs_w100.nq.compressed'},
    {'dataset': 'wiki_dpr', 'config_name': 'psgs_w100.nq.no_index'},
    {'dataset': 'wiki_dpr', 'config_name': 'psgs_w100.multiset.no_index'},
    {'dataset': 'natural_questions', 'config_name': 'default'},
]







def 		A_							(						_lowerCAmelCase :     Optional[Any]=True				):



      """simple docstring"""




      if with_config:
            return [
                {
                    "testcase_name": d["dataset"] + "/" + d["config_name"],
                    "dataset": d["dataset"],
                    "config_name": d["config_name"],
                }
                for d in DATASETS_ON_HF_GCP
            ]
      else:
            return [
                {"testcase_name": dataset, "dataset": dataset} for dataset in {d["dataset"] for d in DATASETS_ON_HF_GCP}
            ]

@parameterized.named_parameters(list_datasets_on_hf_gcp_parameters(with_config=A			)			)
class 			UpperCAmelCase__    (							A			):
    lowerCAmelCase_					     =		None
    lowerCAmelCase_					     =		None



    def 	lowerCamelCase_	(						self   :							Union[str, Any],__A   :							str,__A   :							int  ):
          with TemporaryDirectory() as tmp_dir:
                _lowerCamelCase					: Union[str, Any]		    = dataset_module_factory(__A,cache_dir=__A  )

                _lowerCamelCase					: Any		    = import_main_class(dataset_module.module_path,dataset=__A  )

                _lowerCamelCase					: DatasetBuilder		    = builder_cls(
                    cache_dir=__A,config_name=__A,hash=dataset_module.hash,)

                _lowerCamelCase					: List[Any]		    = "/".join(
                    [
                        HF_GCP_BASE_URL,
                        builder_instance._relative_data_dir(with_hash=__A  ).replace(os.sep,"/"  ),
                        config.DATASET_INFO_FILENAME,
                    ]  )
                _lowerCamelCase					: Any		    = cached_path(__A,cache_dir=__A  )
                self.assertTrue(os.path.exists(__A  )  )







@pytest.mark.integration
def 		A_							(						_lowerCAmelCase :     Tuple				):



      """simple docstring"""




      _lowerCamelCase					: Tuple		    = tmp_path_factory.mktemp("test_hf_gcp"				) / "test_wikipedia_simple"
      _lowerCamelCase					: str		    = dataset_module_factory("wikipedia"					,						cache_dir=_lowerCAmelCase				)
      _lowerCamelCase					: List[str]		    = import_main_class(dataset_module.module_path				)
      _lowerCamelCase					: DatasetBuilder		    = builder_cls(
          cache_dir=_lowerCAmelCase					,						config_name="20220301.frr"					,						hash=dataset_module.hash					,						)
      # use the HF cloud storage, not the original download_and_prepare that uses apache-beam
      _lowerCamelCase					: List[str]		    = None
      builder_instance.download_and_prepare()
      _lowerCamelCase					: str		    = builder_instance.as_dataset()
      assert ds







@pytest.mark.integration
def 		A_							(						_lowerCAmelCase :     str				):



      """simple docstring"""




      _lowerCamelCase					: List[Any]		    = dataset_module_factory("wikipedia"					,						cache_dir=_lowerCAmelCase				)
      _lowerCamelCase					: Optional[int]		    = import_main_class(dataset_module.module_path					,						dataset=_lowerCAmelCase				)
      _lowerCamelCase					: DatasetBuilder		    = builder_cls(
          cache_dir=_lowerCAmelCase					,						config_name="20220301.frr"					,						hash=dataset_module.hash					,						)
      _lowerCamelCase					: str		    = builder_instance.as_streaming_dataset()
      assert ds
      assert isinstance(_lowerCAmelCase					,						_lowerCAmelCase				)
      assert "train" in ds
      assert isinstance(ds["train"]					,						_lowerCAmelCase				)
      assert next(iter(ds["train"]				)				)


"""simple docstring"""

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


_UpperCamelCase		     =    logging.get_logger(__name__)

_UpperCamelCase		     =    {
    """facebook/dpr-ctx_encoder-single-nq-base""": (
        """https://huggingface.co/facebook/dpr-ctx_encoder-single-nq-base/resolve/main/config.json"""
    ),
    """facebook/dpr-question_encoder-single-nq-base""": (
        """https://huggingface.co/facebook/dpr-question_encoder-single-nq-base/resolve/main/config.json"""
    ),
    """facebook/dpr-reader-single-nq-base""": (
        """https://huggingface.co/facebook/dpr-reader-single-nq-base/resolve/main/config.json"""
    ),
    """facebook/dpr-ctx_encoder-multiset-base""": (
        """https://huggingface.co/facebook/dpr-ctx_encoder-multiset-base/resolve/main/config.json"""
    ),
    """facebook/dpr-question_encoder-multiset-base""": (
        """https://huggingface.co/facebook/dpr-question_encoder-multiset-base/resolve/main/config.json"""
    ),
    """facebook/dpr-reader-multiset-base""": (
        """https://huggingface.co/facebook/dpr-reader-multiset-base/resolve/main/config.json"""
    ),
}






class 			__a					(						__magic_name__       ):





       """simple docstring"""


       __UpperCamelCase					:      str    =						'dpr'






       def __init__(   self			,					snake_case=30_522			,					snake_case=768			,					snake_case=12			,					snake_case=12			,					snake_case=3_072			,					snake_case="gelu"			,					snake_case=0.1			,					snake_case=0.1			,					snake_case=512			,					snake_case=2			,					snake_case=0.02			,					snake_case=1e-12			,					snake_case=0			,					snake_case="absolute"			,					snake_case = 0			,					**snake_case			,					):





        """simple docstring"""

        super().__init__(pad_token_id=snake_case			,					**snake_case   )

        lowerCAmelCase__   :				Dict 			=				vocab_size
        lowerCAmelCase__   :				int 			=				hidden_size
        lowerCAmelCase__   :				List[str] 			=				num_hidden_layers
        lowerCAmelCase__   :				List[Any] 			=				num_attention_heads
        lowerCAmelCase__   :				Any 			=				hidden_act
        lowerCAmelCase__   :				Any 			=				intermediate_size
        lowerCAmelCase__   :				str 			=				hidden_dropout_prob
        lowerCAmelCase__   :				List[str] 			=				attention_probs_dropout_prob
        lowerCAmelCase__   :				List[Any] 			=				max_position_embeddings
        lowerCAmelCase__   :				Optional[Any] 			=				type_vocab_size
        lowerCAmelCase__   :				Tuple 			=				initializer_range
        lowerCAmelCase__   :				Dict 			=				layer_norm_eps
        lowerCAmelCase__   :				Dict 			=				projection_dim
        lowerCAmelCase__   :				Any 			=				position_embedding_type






