

"""simple docstring"""
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 					a__						(						lowerCAmelCase			,	lowerCAmelCase    )	-> Tuple:
      assert isinstance(lowerCAmelCase			,	lowerCAmelCase    )
      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 					a__						(						lowerCAmelCase			,	lowerCAmelCase			,	lowerCAmelCase    )	-> Optional[int]:
      UpperCAmelCase__			:							Union[str, Any]							=    tmp_path / """cache"""
      UpperCAmelCase__			:							List[str]							=    {"""text""": """string"""}
      with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
            UpperCAmelCase__			:							str							=    TextDatasetReader(lowerCAmelCase			,	cache_dir=lowerCAmelCase			,	keep_in_memory=lowerCAmelCase    ).read()
      _check_text_dataset(lowerCAmelCase			,	lowerCAmelCase    )




@pytest.mark.parametrize(
    """features"""			,	[
        None,
        {"""text""": """string"""},
        {"""text""": """int32"""},
        {"""text""": """float32"""},
    ]			,	)
def 					a__						(						lowerCAmelCase			,	lowerCAmelCase			,	lowerCAmelCase    )	-> Union[str, Any]:
      UpperCAmelCase__			:							Union[str, Any]							=    tmp_path / """cache"""
      UpperCAmelCase__			:							Optional[int]							=    {"""text""": """string"""}
      UpperCAmelCase__			:							Tuple							=    features.copy() if features else default_expected_features
      UpperCAmelCase__			:							str							=    (
          Features({feature: Value(lowerCAmelCase    ) for feature, dtype in features.items()}    ) if features is not None else None
      )
      UpperCAmelCase__			:							List[str]							=    TextDatasetReader(lowerCAmelCase			,	features=lowerCAmelCase			,	cache_dir=lowerCAmelCase    ).read()
      _check_text_dataset(lowerCAmelCase			,	lowerCAmelCase    )




@pytest.mark.parametrize("""split"""			,	[None, NamedSplit("""train"""    ), """train""", """test"""]    )
def 					a__						(						lowerCAmelCase			,	lowerCAmelCase			,	lowerCAmelCase    )	-> Optional[Any]:
      UpperCAmelCase__			:							Tuple							=    tmp_path / """cache"""
      UpperCAmelCase__			:							Optional[int]							=    {"""text""": """string"""}
      UpperCAmelCase__			:							Any							=    TextDatasetReader(lowerCAmelCase			,	cache_dir=lowerCAmelCase			,	split=lowerCAmelCase    ).read()
      _check_text_dataset(lowerCAmelCase			,	lowerCAmelCase    )
      assert dataset.split == split if split else "train"




@pytest.mark.parametrize("""path_type"""			,	[str, list]    )
def 					a__						(						lowerCAmelCase			,	lowerCAmelCase			,	lowerCAmelCase    )	-> Optional[int]:
      if issubclass(lowerCAmelCase			,	lowerCAmelCase    ):
            UpperCAmelCase__			:							str							=    text_path
      elif issubclass(lowerCAmelCase			,	lowerCAmelCase    ):
            UpperCAmelCase__			:							Any							=    [text_path]
      UpperCAmelCase__			:							Tuple							=    tmp_path / """cache"""
      UpperCAmelCase__			:							List[Any]							=    {"""text""": """string"""}
      UpperCAmelCase__			:							Union[str, Any]							=    TextDatasetReader(lowerCAmelCase			,	cache_dir=lowerCAmelCase    ).read()
      _check_text_dataset(lowerCAmelCase			,	lowerCAmelCase    )




def 					a__						(						lowerCAmelCase			,	lowerCAmelCase			,	lowerCAmelCase=("train",)    )	-> Any:
      assert isinstance(lowerCAmelCase			,	lowerCAmelCase    )
      for split in splits:
            UpperCAmelCase__			:							Dict							=    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 					a__						(						lowerCAmelCase			,	lowerCAmelCase			,	lowerCAmelCase    )	-> Union[str, Any]:
      UpperCAmelCase__			:							Optional[int]							=    tmp_path / """cache"""
      UpperCAmelCase__			:							Tuple							=    {"""text""": """string"""}
      with assert_arrow_memory_increases() if keep_in_memory else assert_arrow_memory_doesnt_increase():
            UpperCAmelCase__			:							Dict							=    TextDatasetReader({"""train""": text_path}			,	cache_dir=lowerCAmelCase			,	keep_in_memory=lowerCAmelCase    ).read()
      _check_text_datasetdict(lowerCAmelCase			,	lowerCAmelCase    )




@pytest.mark.parametrize(
    """features"""			,	[
        None,
        {"""text""": """string"""},
        {"""text""": """int32"""},
        {"""text""": """float32"""},
    ]			,	)
def 					a__						(						lowerCAmelCase			,	lowerCAmelCase			,	lowerCAmelCase    )	-> Dict:
      UpperCAmelCase__			:							Optional[int]							=    tmp_path / """cache"""
      # CSV file loses col_1 string dtype information: default now is "int64" instead of "string"
      UpperCAmelCase__			:							int							=    {"""text""": """string"""}
      UpperCAmelCase__			:							Any							=    features.copy() if features else default_expected_features
      UpperCAmelCase__			:							Tuple							=    (
          Features({feature: Value(lowerCAmelCase    ) for feature, dtype in features.items()}    ) if features is not None else None
      )
      UpperCAmelCase__			:							str							=    TextDatasetReader({"""train""": text_path}			,	features=lowerCAmelCase			,	cache_dir=lowerCAmelCase    ).read()
      _check_text_datasetdict(lowerCAmelCase			,	lowerCAmelCase    )





@pytest.mark.parametrize("""split"""			,	[None, NamedSplit("""train"""    ), """train""", """test"""]    )
def 					a__						(						lowerCAmelCase			,	lowerCAmelCase			,	lowerCAmelCase    )	-> Tuple:
      if split:
            UpperCAmelCase__			:							Dict							=    {split: text_path}
      else:
            UpperCAmelCase__			:							Any							=    """train"""
            UpperCAmelCase__			:							Tuple							=    {"""train""": text_path, """test""": text_path}
      UpperCAmelCase__			:							List[str]							=    tmp_path / """cache"""
      UpperCAmelCase__			:							List[Any]							=    {"""text""": """string"""}
      UpperCAmelCase__			:							str							=    TextDatasetReader(lowerCAmelCase			,	cache_dir=lowerCAmelCase    ).read()
      _check_text_datasetdict(lowerCAmelCase			,	lowerCAmelCase			,	splits=list(path.keys()    )    )
      assert all(dataset[split].split == split for split in path.keys()    )




"""simple docstring"""
_A							=  """ABCDEFGHIJKLMNOPQRSTUVWXYZ"""




def 					a__						(						)	-> None:
      UpperCAmelCase__			:							Optional[Any]							=    input("""Enter message: """    )
      UpperCAmelCase__			:							Optional[Any]							=    input("""Enter key [alphanumeric]: """    )
      UpperCAmelCase__			:							Optional[Any]							=    input("""Encrypt/Decrypt [e/d]: """    )

      if mode.lower().startswith("""e"""    ):
            UpperCAmelCase__			:							Optional[Any]							=    """encrypt"""
            UpperCAmelCase__			:							List[Any]							=    encrypt_message(lowerCAmelCase			,	lowerCAmelCase    )
      elif mode.lower().startswith("""d"""    ):
            UpperCAmelCase__			:							Optional[Any]							=    """decrypt"""
            UpperCAmelCase__			:							Dict							=    decrypt_message(lowerCAmelCase			,	lowerCAmelCase    )

      print(F"""\n{mode.title()}ed message:"""    )
      print(lowerCAmelCase    )




def 					a__						(						lowerCAmelCase			,	lowerCAmelCase    )	-> str:
      return translate_message(lowerCAmelCase			,	lowerCAmelCase			,	"""encrypt"""    )




def 					a__						(						lowerCAmelCase			,	lowerCAmelCase    )	-> str:
      return translate_message(lowerCAmelCase			,	lowerCAmelCase			,	"""decrypt"""    )




def 					a__						(						lowerCAmelCase			,	lowerCAmelCase			,	lowerCAmelCase    )	-> str:
      UpperCAmelCase__			:							Optional[Any]							=    []
      UpperCAmelCase__			:							int							=    0
      UpperCAmelCase__			:							str							=    key.upper()

      for symbol in message:
            UpperCAmelCase__			:							Optional[Any]							=    LETTERS.find(symbol.upper()    )
            if num != -1:
                  if mode == "encrypt":
                        num += LETTERS.find(key[key_index]    )
                  elif mode == "decrypt":
                        num -= LETTERS.find(key[key_index]    )

                  num %= len(lowerCAmelCase    )

                  if symbol.isupper():
                        translated.append(LETTERS[num]    )
                  elif symbol.islower():
                        translated.append(LETTERS[num].lower()    )

                  key_index += 1
                  if key_index == len(lowerCAmelCase    ):
                        UpperCAmelCase__			:							List[str]							=    0
            else:
                  translated.append(lowerCAmelCase    )
      return "".join(lowerCAmelCase    )


if __name__ == "__main__":
    main()

