'''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


_a   :	int 							=   [
    {"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 _lowercase	(      lowerCamelCase__=True						)					->       List[str]:





       """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=__magic_name__   )   )
class 		__A       (__magic_name__   ):
       snake_case       :Optional[int]				    =					None
       snake_case       :Tuple				    =					None






       def 			_snake_case						(      self				,     UpperCamelCase_				,     UpperCamelCase_      ):
              with TemporaryDirectory() as tmp_dir:
                     __UpperCAmelCase  :				Any       				=		dataset_module_factory(UpperCamelCase_				,     cache_dir=UpperCamelCase_      )

                     __UpperCAmelCase  :				Any       				=		import_main_class(dataset_module.module_path				,     dataset=UpperCamelCase_      )

                     __UpperCAmelCase  :				DatasetBuilder       				=		builder_cls(
                         cache_dir=UpperCamelCase_				,     config_name=UpperCamelCase_				,     hash=dataset_module.hash				,     )

                     __UpperCAmelCase  :				str       				=		"/".join(
                         [
                             HF_GCP_BASE_URL,
                             builder_instance._relative_data_dir(with_hash=UpperCamelCase_      ).replace(os.sep				,     "/"      ),
                             config.DATASET_INFO_FILENAME,
                         ]      )
                     __UpperCAmelCase  :				str       				=		cached_path(UpperCamelCase_				,     cache_dir=UpperCamelCase_      )
                     self.assertTrue(os.path.exists(UpperCamelCase_      )      )





@pytest.mark.integration
def _lowercase	(      lowerCamelCase__						)					->       Optional[Any]:





       """simple docstring"""


       __UpperCAmelCase  :				int       				=		tmp_path_factory.mktemp("test_hf_gcp"						) / "test_wikipedia_simple"
       __UpperCAmelCase  :				Tuple       				=		dataset_module_factory("wikipedia"							,    cache_dir=lowerCamelCase__						)
       __UpperCAmelCase  :				Tuple       				=		import_main_class(dataset_module.module_path						)
       __UpperCAmelCase  :				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
       __UpperCAmelCase  :				Any       				=		None
       builder_instance.download_and_prepare()
       __UpperCAmelCase  :				Union[str, Any]       				=		builder_instance.as_dataset()
       assert ds


@pytest.mark.integration
def _lowercase	(      lowerCamelCase__						)					->       Optional[int]:





       """simple docstring"""


       __UpperCAmelCase  :				str       				=		dataset_module_factory("wikipedia"							,    cache_dir=lowerCamelCase__						)
       __UpperCAmelCase  :				Optional[Any]       				=		import_main_class(dataset_module.module_path							,    dataset=lowerCamelCase__						)
       __UpperCAmelCase  :				DatasetBuilder       				=		builder_cls(
           cache_dir=lowerCamelCase__							,    config_name="20220301.frr"							,    hash=dataset_module.hash							,    )
       __UpperCAmelCase  :				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


_a   :	Any 							=   logging.get_logger(__name__)

_a   :	List[Any] 							=   {
    "microsoft/cvt-13": "https://huggingface.co/microsoft/cvt-13/resolve/main/config.json",
    # See all Cvt models at https://huggingface.co/models?filter=cvt
}






class 		__A       (__magic_name__   ):
       snake_case       :Any				    =					"cvt"






       def __init__(      self				,     UpperCamelCase_=3				,     UpperCamelCase_=[7, 3, 3]				,     UpperCamelCase_=[4, 2, 2]				,     UpperCamelCase_=[2, 1, 1]				,     UpperCamelCase_=[64, 1_92, 3_84]				,     UpperCamelCase_=[1, 3, 6]				,     UpperCamelCase_=[1, 2, 10]				,     UpperCamelCase_=[4.0, 4.0, 4.0]				,     UpperCamelCase_=[0.0, 0.0, 0.0]				,     UpperCamelCase_=[0.0, 0.0, 0.0]				,     UpperCamelCase_=[0.0, 0.0, 0.1]				,     UpperCamelCase_=[True, True, True]				,     UpperCamelCase_=[False, False, True]				,     UpperCamelCase_=["dw_bn", "dw_bn", "dw_bn"]				,     UpperCamelCase_=[3, 3, 3]				,     UpperCamelCase_=[1, 1, 1]				,     UpperCamelCase_=[2, 2, 2]				,     UpperCamelCase_=[1, 1, 1]				,     UpperCamelCase_=[1, 1, 1]				,     UpperCamelCase_=0.0_2				,     UpperCamelCase_=1E-12				,     **UpperCamelCase_				,     ):
              super().__init__(**UpperCamelCase_      )
              __UpperCAmelCase  :				Optional[int]       				=		num_channels
              __UpperCAmelCase  :				Optional[Any]       				=		patch_sizes
              __UpperCAmelCase  :				List[str]       				=		patch_stride
              __UpperCAmelCase  :				Tuple       				=		patch_padding
              __UpperCAmelCase  :				int       				=		embed_dim
              __UpperCAmelCase  :				str       				=		num_heads
              __UpperCAmelCase  :				Any       				=		depth
              __UpperCAmelCase  :				List[str]       				=		mlp_ratio
              __UpperCAmelCase  :				List[str]       				=		attention_drop_rate
              __UpperCAmelCase  :				Dict       				=		drop_rate
              __UpperCAmelCase  :				Dict       				=		drop_path_rate
              __UpperCAmelCase  :				str       				=		qkv_bias
              __UpperCAmelCase  :				Optional[int]       				=		cls_token
              __UpperCAmelCase  :				Optional[Any]       				=		qkv_projection_method
              __UpperCAmelCase  :				Tuple       				=		kernel_qkv
              __UpperCAmelCase  :				Optional[Any]       				=		padding_kv
              __UpperCAmelCase  :				Optional[int]       				=		stride_kv
              __UpperCAmelCase  :				Any       				=		padding_q
              __UpperCAmelCase  :				List[Any]       				=		stride_q
              __UpperCAmelCase  :				Union[str, Any]       				=		initializer_range
              __UpperCAmelCase  :				Any       				=		layer_norm_eps






