import pytest

from datasets import Dataset, DatasetDict, Features, NamedSplit, Value
from datasets.io.text import TextDatasetReader

from ..utils import assert_arrow_memory_doesnt_increase, assert_arrow_memory_increases
def 		snake_case__	(		lowercase							,				lowercase					):
   assert isinstance(lowercase							,				lowercase					)
   assert dataset.num_rows == 4
   assert dataset.num_columns == 1
   assert dataset.column_names == ["text"]
   for feature, expected_dtype in expected_features.items():
      assert dataset.features[feature].dtype == expected_dtype
@pytest.mark.parametrize("keep_in_memory"							,				[False, True]					)
def 		snake_case__	(		lowercase							,				lowercase							,				lowercase					):
   lowerCAmelCase_:							List[Any]       =	tmp_path / "cache"
   lowerCAmelCase_:							Any       =	{"text": "string"}
   with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
      lowerCAmelCase_:							Union[str, Any]       =	TextDatasetReader(lowercase							,				cache_dir=lowercase							,				keep_in_memory=lowercase					).read()
   _check_text_dataset(lowercase							,				lowercase					)
@pytest.mark.parametrize(
    "features"							,				[
        None,
        {"text": "string"},
        {"text": "int32"},
        {"text": "float32"},
    ]							,				)
def 		snake_case__	(		lowercase							,				lowercase							,				lowercase					):
   lowerCAmelCase_:							str       =	tmp_path / "cache"
   lowerCAmelCase_:							Optional[Any]       =	{"text": "string"}
   lowerCAmelCase_:							Dict       =	features.copy() if features else default_expected_features
   lowerCAmelCase_:							int       =	(
       Features({feature: Value(lowercase					) for feature, dtype in features.items()}					) if features is not None else None
   )
   lowerCAmelCase_:							int       =	TextDatasetReader(lowercase							,				features=lowercase							,				cache_dir=lowercase					).read()
   _check_text_dataset(lowercase							,				lowercase					)
@pytest.mark.parametrize("split"							,				[None, NamedSplit("train"					), "train", "test"]					)
def 		snake_case__	(		lowercase							,				lowercase							,				lowercase					):
   lowerCAmelCase_:							List[Any]       =	tmp_path / "cache"
   lowerCAmelCase_:							str       =	{"text": "string"}
   lowerCAmelCase_:							str       =	TextDatasetReader(lowercase							,				cache_dir=lowercase							,				split=lowercase					).read()
   _check_text_dataset(lowercase							,				lowercase					)
   assert dataset.split == split if split else "train"
@pytest.mark.parametrize("path_type"							,				[str, list]					)
def 		snake_case__	(		lowercase							,				lowercase							,				lowercase					):
   if issubclass(lowercase							,				lowercase					):
      lowerCAmelCase_:							Dict       =	text_path
   elif issubclass(lowercase							,				lowercase					):
      lowerCAmelCase_:							Optional[int]       =	[text_path]
   lowerCAmelCase_:							Dict       =	tmp_path / "cache"
   lowerCAmelCase_:							Optional[Any]       =	{"text": "string"}
   lowerCAmelCase_:							Optional[int]       =	TextDatasetReader(lowercase							,				cache_dir=lowercase					).read()
   _check_text_dataset(lowercase							,				lowercase					)
def 		snake_case__	(		lowercase							,				lowercase							,				lowercase=("train",)					):
   assert isinstance(lowercase							,				lowercase					)
   for split in splits:
      lowerCAmelCase_:							List[Any]       =	dataset_dict[split]
      assert dataset.num_rows == 4
      assert dataset.num_columns == 1
      assert dataset.column_names == ["text"]
      for feature, expected_dtype in expected_features.items():
         assert dataset.features[feature].dtype == expected_dtype
@pytest.mark.parametrize("keep_in_memory"							,				[False, True]					)
def 		snake_case__	(		lowercase							,				lowercase							,				lowercase					):
   lowerCAmelCase_:							Any       =	tmp_path / "cache"
   lowerCAmelCase_:							List[Any]       =	{"text": "string"}
   with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
      lowerCAmelCase_:							Any       =	TextDatasetReader({"train": text_path}							,				cache_dir=lowercase							,				keep_in_memory=lowercase					).read()
   _check_text_datasetdict(lowercase							,				lowercase					)
@pytest.mark.parametrize(
    "features"							,				[
        None,
        {"text": "string"},
        {"text": "int32"},
        {"text": "float32"},
    ]							,				)
def 		snake_case__	(		lowercase							,				lowercase							,				lowercase					):
   lowerCAmelCase_:							str       =	tmp_path / "cache"
   # CSV file loses col_1 string dtype information: default now is "int64" instead of "string"
   lowerCAmelCase_:							Tuple       =	{"text": "string"}
   lowerCAmelCase_:							Tuple       =	features.copy() if features else default_expected_features
   lowerCAmelCase_:							List[str]       =	(
       Features({feature: Value(lowercase					) for feature, dtype in features.items()}					) if features is not None else None
   )
   lowerCAmelCase_:							str       =	TextDatasetReader({"train": text_path}							,				features=lowercase							,				cache_dir=lowercase					).read()
   _check_text_datasetdict(lowercase							,				lowercase					)







@pytest.mark.parametrize("split"							,				[None, NamedSplit("train"					), "train", "test"]					)
def 		snake_case__	(		lowercase							,				lowercase							,				lowercase					):
   if split:
      lowerCAmelCase_:							Optional[int]       =	{split: text_path}
   else:
      lowerCAmelCase_:							Optional[int]       =	"train"
      lowerCAmelCase_:							Any       =	{"train": text_path, "test": text_path}
   lowerCAmelCase_:							List[Any]       =	tmp_path / "cache"
   lowerCAmelCase_:							Optional[Any]       =	{"text": "string"}
   lowerCAmelCase_:							Union[str, Any]       =	TextDatasetReader(lowercase							,				cache_dir=lowercase					).read()
   _check_text_datasetdict(lowercase							,				lowercase							,				splits=list(path.keys()					)					)
   assert all(dataset[split].split == split for split in path.keys()					)
def 		snake_case__	(		lowercase					):
   lowerCAmelCase_:							Union[str, Any]       =	[1]

   lowerCAmelCase_  ,	lowerCAmelCase_  ,	lowerCAmelCase_:							int       =	0, 0, 0
   lowerCAmelCase_:							Union[str, Any]       =	ugly_nums[ia] * 2
   lowerCAmelCase_:							str       =	ugly_nums[ia] * 3
   lowerCAmelCase_:							Dict       =	ugly_nums[ia] * 5

   for _ in range(1							,				lowercase					):
      lowerCAmelCase_:							Any       =	min(lowercase							,				lowercase							,				lowercase					)
      ugly_nums.append(lowercase					)
      if next_num == next_a:
         ia += 1
         lowerCAmelCase_:							str       =	ugly_nums[ia] * 2
      if next_num == next_a:
         ia += 1
         lowerCAmelCase_:							Optional[int]       =	ugly_nums[ia] * 3
      if next_num == next_a:
         ia += 1
         lowerCAmelCase_:							int       =	ugly_nums[ia] * 5
   return ugly_nums[-1]


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

 testmod(verbose=True)
 print(f'''{ugly_numbers(2_0_0) = }''')