
import os
from pathlib import Path
from unittest.mock import patch

import pytest
import zstandard as zstd

from datasets.download.download_config import DownloadConfig
from datasets.utils.file_utils import (
    OfflineModeIsEnabled,
    cached_path,
    fsspec_get,
    fsspec_head,
    ftp_get,
    ftp_head,
    get_from_cache,
    http_get,
    http_head,
)


lowerCamelCase_						     =					'''\
    Text data.
    Second line of data.'''

lowerCamelCase_						     =					'''file'''






@pytest.fixture(scope="""session"""						)
def 						__magic_name__			(   __a      :	Dict						):



     '''simple docstring'''




     UpperCamelCase__				=    tmp_path_factory.mktemp("""data"""						) / (FILE_PATH + """.zstd""")
     UpperCamelCase__				=    bytes(__a	,		"""utf-8"""						)
     with zstd.open(__a	,		"""wb"""						) as f:
          f.write(__a						)
     return path






@pytest.fixture
def 						__magic_name__			(   __a      :	List[Any]						):



     '''simple docstring'''




     with open(os.path.join(tmpfs.local_root_dir	,		__a						)	,		"""w"""						) as f:
          f.write(__a						)
     return FILE_PATH






@pytest.mark.parametrize("""compression_format"""	,		["""gzip""", """xz""", """zstd"""]						)
def 						__magic_name__			(   __a      :	List[str]	,		__a      :	Tuple	,		__a      :	Union[str, Any]	,		__a      :	List[str]	,		__a      :	List[Any]	,		__a      :	Dict						):



     '''simple docstring'''




     UpperCamelCase__				=    {"""gzip""": gz_file, """xz""": xz_file, """zstd""": zstd_path}
     UpperCamelCase__				=    input_paths[compression_format]
     UpperCamelCase__				=    tmp_path / """cache"""
     UpperCamelCase__				=    DownloadConfig(cache_dir=__a	,		extract_compressed_file=__a						)
     UpperCamelCase__				=    cached_path(__a	,		download_config=__a						)
     with open(__a						) as f:
          UpperCamelCase__				=    f.read()
     with open(__a						) as f:
          UpperCamelCase__				=    f.read()
     assert extracted_file_content == expected_file_content






@pytest.mark.parametrize("""default_extracted"""	,		[True, False]						)
@pytest.mark.parametrize("""default_cache_dir"""	,		[True, False]						)
def 						__magic_name__			(   __a      :	List[str]	,		__a      :	Dict	,		__a      :	int	,		__a      :	Optional[Any]	,		__a      :	Optional[Any]						):



     '''simple docstring'''




     UpperCamelCase__				=    """custom_cache"""
     UpperCamelCase__				=    """custom_extracted_dir"""
     UpperCamelCase__				=    tmp_path / """custom_extracted_path"""
     if default_extracted:
          UpperCamelCase__				=    ("""downloads""" if default_cache_dir else custom_cache_dir, """extracted""")
     else:
          monkeypatch.setattr("""datasets.config.EXTRACTED_DATASETS_DIR"""	,		__a						)
          monkeypatch.setattr("""datasets.config.EXTRACTED_DATASETS_PATH"""	,		str(__a						)						)
          UpperCamelCase__				=    custom_extracted_path.parts[-2:] if default_cache_dir else (custom_cache_dir, custom_extracted_dir)

     UpperCamelCase__				=    xz_file
     UpperCamelCase__				=    (
         DownloadConfig(extract_compressed_file=__a						)
         if default_cache_dir
         else DownloadConfig(cache_dir=tmp_path / custom_cache_dir	,		extract_compressed_file=__a						)
     )
     UpperCamelCase__				=    cached_path(__a	,		download_config=__a						)
     assert Path(__a						).parent.parts[-2:] == expected






def 						__magic_name__			(   __a      :	Optional[Any]						):



     '''simple docstring'''




     UpperCamelCase__				=    str(Path(__a						).resolve()						)
     assert cached_path(__a						) == text_file
     # relative path
     UpperCamelCase__				=    str(Path(__a						).resolve().relative_to(Path(os.getcwd()						)						)						)
     assert cached_path(__a						) == text_file






def 						__magic_name__			(   __a      :	Optional[Any]						):



     '''simple docstring'''




     UpperCamelCase__				=    str(tmp_path.resolve() / """__missing_file__.txt"""						)
     with pytest.raises(__a						):
          cached_path(__a						)
     # relative path
     UpperCamelCase__				=    """./__missing_file__.txt"""
     with pytest.raises(__a						):
          cached_path(__a						)






def 						__magic_name__			(   __a      :	Union[str, Any]						):



     '''simple docstring'''




     UpperCamelCase__				=    get_from_cache(f"tmp://{tmpfs_file}"						)
     with open(__a						) as f:
          UpperCamelCase__				=    f.read()
     assert output_file_content == FILE_CONTENT






@patch("""datasets.config.HF_DATASETS_OFFLINE"""	,		__a						)
def 						__magic_name__			(   ):



     '''simple docstring'''




     with pytest.raises(__a						):
          cached_path("""https://huggingface.co"""						)






@patch("""datasets.config.HF_DATASETS_OFFLINE"""	,		__a						)
def 						__magic_name__			(   __a      :	int						):



     '''simple docstring'''




     UpperCamelCase__				=    tmp_path_factory.mktemp("""data"""						) / """file.html"""
     with pytest.raises(__a						):
          http_get("""https://huggingface.co"""	,		temp_file=__a						)
     with pytest.raises(__a						):
          http_head("""https://huggingface.co"""						)






@patch("""datasets.config.HF_DATASETS_OFFLINE"""	,		__a						)
def 						__magic_name__			(   __a      :	int						):



     '''simple docstring'''




     UpperCamelCase__				=    tmp_path_factory.mktemp("""data"""						) / """file.html"""
     with pytest.raises(__a						):
          ftp_get("""ftp://huggingface.co"""	,		temp_file=__a						)
     with pytest.raises(__a						):
          ftp_head("""ftp://huggingface.co"""						)






@patch("""datasets.config.HF_DATASETS_OFFLINE"""	,		__a						)
def 						__magic_name__			(   __a      :	List[str]						):



     '''simple docstring'''




     UpperCamelCase__				=    tmp_path_factory.mktemp("""data"""						) / """file.html"""
     with pytest.raises(__a						):
          fsspec_get("""s3://huggingface.co"""	,		temp_file=__a						)
     with pytest.raises(__a						):
          fsspec_head("""s3://huggingface.co"""						)







import numpy as np
from sklearn.datasets import fetch_california_housing
from sklearn.metrics import mean_absolute_error, mean_squared_error
from sklearn.model_selection import train_test_split
from xgboost import XGBRegressor






def 						__magic_name__			(   __a      :	dict						):



     '''simple docstring'''




     return (data["data"], data["target"])






def 						__magic_name__			(   __a      :	np.ndarray	,		__a      :	np.ndarray	,		__a      :	np.ndarray						):



     '''simple docstring'''




     UpperCamelCase__				=    XGBRegressor(verbosity=0	,		random_state=42						)
     xgb.fit(__a	,		__a						)
     # Predict target for test data
     UpperCamelCase__				=    xgb.predict(__a						)
     UpperCamelCase__				=    predictions.reshape(len(__a						)	,		1						)
     return predictions






def 						__magic_name__			(   ):



     '''simple docstring'''




     UpperCamelCase__				=    fetch_california_housing()
     UpperCamelCase__		,	UpperCamelCase__				=    data_handling(__a						)
     UpperCamelCase__		,	UpperCamelCase__		,	UpperCamelCase__		,	UpperCamelCase__				=    train_test_split(
         __a	,		__a	,		test_size=0.25	,		random_state=1						)
     UpperCamelCase__				=    xgboost(__a	,		__a	,		__a						)
     # Error printing
     print(f"Mean Absolute Error : {mean_absolute_error(__a	,		__a						)}"						)
     print(f"Mean Square Error  : {mean_squared_error(__a	,		__a						)}"						)


if __name__ == "__main__":
    import doctest

    doctest.testmod(verbose=True)
    main()





