


'''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


lowercase							=[
    {'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 lowerCamelCase__      (						__lowerCamelCase	:							List[str]=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  __magic_name__							(		a__    ):
       UpperCAmelCase										=None
       UpperCAmelCase										=None






       def       lowerCAmelCase		(      self  ,							snake_case  ,							snake_case)						->  Union[str, Any]:




          '''simple docstring'''







          with TemporaryDirectory() as tmp_dir:
             _UpperCAmelCase       :       List[Any]							   =dataset_module_factory(_lowerCamelCase  ,							cache_dir=_lowerCamelCase)

             _UpperCAmelCase       :       Tuple							   =import_main_class(dataset_module.module_path  ,							dataset=_lowerCamelCase)

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

             _UpperCAmelCase       :       List[str]							   ='''/'''.join(
                 [
                     HF_GCP_BASE_URL,
                     builder_instance._relative_data_dir(with_hash=_lowerCamelCase).replace(os.sep  ,							'/'),
                     config.DATASET_INFO_FILENAME,
                 ])
             _UpperCAmelCase       :       Optional[int]							   =cached_path(_lowerCamelCase  ,							cache_dir=_lowerCamelCase)
             self.assertTrue(os.path.exists(_lowerCamelCase))






@pytest.mark.integration
def lowerCamelCase__      (						__lowerCamelCase	:							Optional[int]							):







   '''simple docstring'''




   _UpperCAmelCase       :       Tuple							   =tmp_path_factory.mktemp('test_hf_gcp'							) / '''test_wikipedia_simple'''
   _UpperCAmelCase       :       Optional[Any]							   =dataset_module_factory('wikipedia'	,   cache_dir=lowerCamelCase__							)
   _UpperCAmelCase       :       str							   =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       :       Union[str, Any]							   =None
   builder_instance.download_and_prepare()
   _UpperCAmelCase       :       Union[str, Any]							   =builder_instance.as_dataset()
   assert ds





@pytest.mark.integration
def lowerCamelCase__      (						__lowerCamelCase	:							Any							):







   '''simple docstring'''




   _UpperCAmelCase       :       Dict							   =dataset_module_factory('wikipedia'	,   cache_dir=lowerCamelCase__							)
   _UpperCAmelCase       :       Union[str, 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       :       Optional[int]							   =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 collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowercase							=logging.get_logger(__name__)

lowercase							={
    'facebook/levit-128S': 'https://huggingface.co/facebook/levit-128S/resolve/main/config.json',
    # See all LeViT models at https://huggingface.co/models?filter=levit
}






class  __magic_name__							(		lowerCAmelCase    ):
       UpperCAmelCase										="levit"






       def __init__(      self  ,							snake_case=2_2_4  ,							snake_case=3  ,							snake_case=3  ,							snake_case=2  ,							snake_case=1  ,							snake_case=1_6  ,							snake_case=[1_2_8, 2_5_6, 3_8_4]  ,							snake_case=[4, 8, 1_2]  ,							snake_case=[4, 4, 4]  ,							snake_case=[1_6, 1_6, 1_6]  ,							snake_case=0  ,							snake_case=[2, 2, 2]  ,							snake_case=[2, 2, 2]  ,							snake_case=0.02  ,							**snake_case  ,							)						->  Any:




          '''simple docstring'''
          super().__init__(**snake_case)
          _UpperCAmelCase       :       List[str]							   =image_size
          _UpperCAmelCase       :       str							   =num_channels
          _UpperCAmelCase       :       int							   =kernel_size
          _UpperCAmelCase       :       Any							   =stride
          _UpperCAmelCase       :       Tuple							   =padding
          _UpperCAmelCase       :       Optional[int]							   =hidden_sizes
          _UpperCAmelCase       :       List[str]							   =num_attention_heads
          _UpperCAmelCase       :       List[Any]							   =depths
          _UpperCAmelCase       :       Any							   =key_dim
          _UpperCAmelCase       :       List[Any]							   =drop_path_rate
          _UpperCAmelCase       :       int							   =patch_size
          _UpperCAmelCase       :       Tuple							   =attention_ratio
          _UpperCAmelCase       :       Any							   =mlp_ratio
          _UpperCAmelCase       :       Optional[Any]							   =initializer_range
          _UpperCAmelCase       :       str							   =[
              ['Subsample', key_dim[0], hidden_sizes[0] // key_dim[0], 4, 2, 2],
              ['Subsample', key_dim[0], hidden_sizes[1] // key_dim[0], 4, 2, 2],
          ]






class  __magic_name__							(		lowerCAmelCase    ):
       UpperCAmelCase										=version.parse("1.11"    )






       @property
       def       lowerCAmelCase		(      self)						->  Mapping[str, Mapping[int, str]]:




          '''simple docstring'''
          return OrderedDict(
              [
                  ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
              ])






       @property
       def       lowerCAmelCase		(      self)						->  float:




          '''simple docstring'''
          return 1E-4

