
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


__magic_name__  							=	[
    {'''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 						SCREAMING_SNAKE_CASE__     (   __lowerCAmelCase=True				):
    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=__UpperCamelCase			)			)
class        _SCREAMING_SNAKE_CASE	(   __UpperCamelCase			):
      _A    :		str     						=  None
      _A    :		Any     						=  None
      def A_      (      self		,						lowerCamelCase		,						lowerCamelCase			):
          with TemporaryDirectory() as tmp_dir:
              snake_case__    =					dataset_module_factory(lowerCamelCase		,						cache_dir=lowerCamelCase			)

              snake_case__    =					import_main_class(dataset_module.module_path		,						dataset=lowerCamelCase			)

              snake_case__    =					builder_cls(
                  cache_dir=lowerCamelCase		,						config_name=lowerCamelCase		,						hash=dataset_module.hash		,						)

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





@pytest.mark.integration
def 						SCREAMING_SNAKE_CASE__     (   __lowerCAmelCase				):
    snake_case__    =					tmp_path_factory.mktemp("test_hf_gcp"				) / "test_wikipedia_simple"
    snake_case__    =					dataset_module_factory("wikipedia"     ,		cache_dir=__lowerCAmelCase				)
    snake_case__    =					import_main_class(dataset_module.module_path				)
    snake_case__    =					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
    snake_case__    =					None
    builder_instance.download_and_prepare()
    snake_case__    =					builder_instance.as_dataset()
    assert ds





@pytest.mark.integration
def 						SCREAMING_SNAKE_CASE__     (   __lowerCAmelCase				):
    snake_case__    =					dataset_module_factory("wikipedia"     ,		cache_dir=__lowerCAmelCase				)
    snake_case__    =					import_main_class(dataset_module.module_path     ,		dataset=__lowerCAmelCase				)
    snake_case__    =					builder_cls(
        cache_dir=__lowerCAmelCase     ,		config_name="20220301.frr"     ,		hash=dataset_module.hash     ,		)
    snake_case__    =					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"]				)				)





from __future__ import annotations

from collections.abc import Iterator
from typing import Generic, TypeVar

__magic_name__  							=	TypeVar('''T''')




class        _SCREAMING_SNAKE_CASE	(   Generic[T]			):
      def __init__(      self		,						lowerCamelCase			):
          snake_case__    =					data
          snake_case__    =					None



      def __str__(      self			):
          return F"""{self.data}"""





class        _SCREAMING_SNAKE_CASE	(   Generic[T]			):
      def __init__(      self			):
          snake_case__    =					None
      def __iter__(      self			):
          snake_case__    =					self.top
          while node:
              yield node.data
              snake_case__    =					node.next
      def __str__(      self			):
          return "->".join([str(lowerCamelCase			) for item in self]			)
      def __len__(      self			):
          return len(tuple(iter(self			)			)			)
      def A_      (      self			):
          return self.top is None
      def A_      (      self		,						lowerCamelCase			):
          snake_case__    =					Node(lowerCamelCase			)
          if not self.is_empty():
              snake_case__    =					self.top
          snake_case__    =					node
      def A_      (      self			):
          if self.is_empty():
              raise IndexError("pop from empty stack"			)
          assert isinstance(self.top		,						lowerCamelCase			)
          snake_case__    =					self.top
          snake_case__    =					self.top.next
          return pop_node.data
      def A_      (      self			):
          if self.is_empty():
              raise IndexError("peek from empty stack"			)

          assert self.top is not None
          return self.top.data



      def A_      (      self			):
          snake_case__    =					None


if __name__ == "__main__":
     from doctest import testmod

     testmod()



