






import os
import zipfile

import pytest

from datasets.utils.extract import (
    BzipaExtractor,
    Extractor,
    GzipExtractor,
    LzaExtractor,
    SevenZipExtractor,
    TarExtractor,
    XzExtractor,
    ZipExtractor,
    ZstdExtractor,
)

from .utils import require_lza, require_pyazr, require_zstandard






@pytest.mark.parametrize(
    'compression_format, is_archive'     ,     [
        ('7z', True),
        ('bz2', False),
        ('gzip', False),
        ('lz4', False),
        ('tar', True),
        ('xz', False),
        ('zip', True),
        ('zstd', False),
    ]     ,     )
def    __magic_name__    (	SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     )     ->    Dict:
							_lowercase							:   Optional[Any] 							=   {
							    '7z': (seven_zip_file, SevenZipExtractor),
							    'bz2': (bza_file, BzipaExtractor),
							    'gzip': (gz_file, GzipExtractor),
							    'lz4': (lza_file, LzaExtractor),
							    'tar': (tar_file, TarExtractor),
							    'xz': (xz_file, XzExtractor),
							    'zip': (zip_file, ZipExtractor),
							    'zstd': (zstd_file, ZstdExtractor),
							}
							_lowercase							,							_lowercase							:   Any 							=   input_paths_and_base_extractors[compression_format]
							if input_path is None:
														_lowercase							:   List[str] 							=   F"""for '{compression_format}' compression_format, """
														if compression_format == "7z":
																					reason += require_pyazr.kwargs["reason"]
														elif compression_format == "lz4":
																					reason += require_lza.kwargs["reason"]
														elif compression_format == "zstd":
																					reason += require_zstandard.kwargs["reason"]
														pytest.skip(SCREAMING_SNAKE_CASE				)
							assert base_extractor.is_extractable(SCREAMING_SNAKE_CASE				)
							_lowercase							:   Any 							=   tmp_path / ('extracted' if is_archive else 'extracted.txt')
							base_extractor.extract(SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE				)
							if is_archive:
														assert output_path.is_dir()
														for file_path in output_path.iterdir():
																					assert file_path.name == text_file.name
																					_lowercase							:   Optional[int] 							=   file_path.read_text(encoding='utf-8'				)
							else:
														_lowercase							:   Any 							=   output_path.read_text(encoding='utf-8'				)
							_lowercase							:   str 							=   text_file.read_text(encoding='utf-8'				)
							assert extracted_file_content == expected_file_content






@pytest.mark.parametrize(
    'compression_format, is_archive'     ,     [
        ('7z', True),
        ('bz2', False),
        ('gzip', False),
        ('lz4', False),
        ('tar', True),
        ('xz', False),
        ('zip', True),
        ('zstd', False),
    ]     ,     )
def    __magic_name__    (	SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     )     ->    Optional[Any]:
							_lowercase							:   Tuple 							=   {
							    '7z': seven_zip_file,
							    'bz2': bza_file,
							    'gzip': gz_file,
							    'lz4': lza_file,
							    'tar': tar_file,
							    'xz': xz_file,
							    'zip': zip_file,
							    'zstd': zstd_file,
							}
							_lowercase							:   Any 							=   input_paths[compression_format]
							if input_path is None:
														_lowercase							:   List[str] 							=   F"""for '{compression_format}' compression_format, """
														if compression_format == "7z":
																					reason += require_pyazr.kwargs["reason"]
														elif compression_format == "lz4":
																					reason += require_lza.kwargs["reason"]
														elif compression_format == "zstd":
																					reason += require_zstandard.kwargs["reason"]
														pytest.skip(SCREAMING_SNAKE_CASE				)
							_lowercase							:   Tuple 							=   Extractor.infer_extractor_format(SCREAMING_SNAKE_CASE				)
							assert extractor_format is not None
							_lowercase							:   int 							=   tmp_path / ('extracted' if is_archive else 'extracted.txt')
							Extractor.extract(SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE				)
							if is_archive:
														assert output_path.is_dir()
														for file_path in output_path.iterdir():
																					assert file_path.name == text_file.name
																					_lowercase							:   List[Any] 							=   file_path.read_text(encoding='utf-8'				)
							else:
														_lowercase							:   List[str] 							=   output_path.read_text(encoding='utf-8'				)
							_lowercase							:   str 							=   text_file.read_text(encoding='utf-8'				)
							assert extracted_file_content == expected_file_content






@pytest.fixture
def    __magic_name__    (	SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE				)     ->    Union[str, Any]:
							import tarfile

							_lowercase							:   List[Any] 							=   tmp_path / 'data_dot_dot'
							directory.mkdir()
							_lowercase							:   Optional[Any] 							=   directory / 'tar_file_with_dot_dot.tar'
							with tarfile.TarFile(SCREAMING_SNAKE_CASE     ,     'w'				) as f:
														f.add(SCREAMING_SNAKE_CASE     ,     arcname=os.path.join('..'     ,     text_file.name				)				)
							return path






@pytest.fixture
def    __magic_name__    (	SCREAMING_SNAKE_CASE				)     ->    Any:
							import tarfile

							_lowercase							:   List[Any] 							=   tmp_path / 'data_sym_link'
							directory.mkdir()
							_lowercase							:   str 							=   directory / 'tar_file_with_sym_link.tar'
							os.symlink('..'     ,     directory / 'subdir'     ,     target_is_directory=SCREAMING_SNAKE_CASE				)
							with tarfile.TarFile(SCREAMING_SNAKE_CASE     ,     'w'				) as f:
														f.add(str(directory / 'subdir'				)     ,     arcname='subdir'				)  # str required by os.readlink on Windows and Python < 3.8
							return path






@pytest.mark.parametrize(
    'insecure_tar_file, error_log'     ,     [('tar_file_with_dot_dot', 'illegal path'), ('tar_file_with_sym_link', 'Symlink')]     ,     )
def    __magic_name__    (	SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE				)     ->    Union[str, Any]:
							_lowercase							:   Optional[int] 							=   {
							    'tar_file_with_dot_dot': tar_file_with_dot_dot,
							    'tar_file_with_sym_link': tar_file_with_sym_link,
							}
							_lowercase							:   str 							=   insecure_tar_files[insecure_tar_file]
							_lowercase							:   List[Any] 							=   tmp_path / 'extracted'
							TarExtractor.extract(SCREAMING_SNAKE_CASE     ,     SCREAMING_SNAKE_CASE				)
							assert caplog.text
							for record in caplog.records:
														assert record.levelname == "ERROR"
														assert error_log in record.msg






def    __magic_name__    (	SCREAMING_SNAKE_CASE				)     ->    Optional[int]:
							# We should have less false positives than zipfile.is_zipfile
							# We do that by checking only the magic number
							_lowercase							:   List[str] 							=   tmpdir / 'not_a_zip_file'
							# From: https://github.com/python/cpython/pull/5053
							_lowercase							:   List[str] 							=   (
							    b'\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x00\x01\x00\x00'
							    b'\x00\x02\x08\x06\x00\x00\x00\x99\x81\xb6\'\x00\x00\x00\x15I'
							    b'DATx\x01\x01\n\x00\xf5\xff\x00PK\x05\x06\x00PK\x06\x06\x07'
							    b'\xac\x01N\xc6|a\r\x00\x00\x00\x00IEND\xaeB`\x82'
							)
							with not_a_zip_file.open('wb'				) as f:
														f.write(SCREAMING_SNAKE_CASE				)
							assert zipfile.is_zipfile(str(SCREAMING_SNAKE_CASE				)				)  # is a false positive for `zipfile`
							assert not ZipExtractor.is_extractable(SCREAMING_SNAKE_CASE				)  # but we're right






'''simple docstring'''




import numpy

# List of input, output pairs
lowercase     :							Any       						=     (
    ((5, 2, 3), 15),
    ((6, 5, 9), 25),
    ((11, 12, 13), 41),
    ((1, 1, 1), 8),
    ((11, 12, 13), 41),
)
lowercase     :							str       						=     (((5_15, 22, 13), 5_55), ((61, 35, 49), 1_50))
lowercase     :							Union[str, Any]       						=     [2, 4, 1, 5]
lowercase     :							Any       						=     len(train_data)
lowercase     :							Optional[int]       						=     0.0_09







def 						lowerCAmelCase_							(  snake_case__						,							snake_case__="train"		):




    '''simple docstring'''



    return calculate_hypothesis_value(snake_case__						,							snake_case__		) - output(
        snake_case__						,							snake_case__		)







def 						lowerCAmelCase_							(  snake_case__		):




    '''simple docstring'''



    A			:  Dict   =		0
    for i in range(len(snake_case__		) - 1		):
        hyp_val += data_input_tuple[i] * parameter_vector[i + 1]
    hyp_val += parameter_vector[0]
    return hyp_val







def 						lowerCAmelCase_							(  snake_case__						,							snake_case__		):




    '''simple docstring'''



    if data_set == "train":
        return train_data[example_no][1]
    elif data_set == "test":
        return test_data[example_no][1]
    return None







def 						lowerCAmelCase_							(  snake_case__						,							snake_case__		):




    '''simple docstring'''



    if data_set == "train":
        return _hypothesis_value(train_data[example_no][0]		)
    elif data_set == "test":
        return _hypothesis_value(test_data[example_no][0]		)
    return None







def 						lowerCAmelCase_							(  snake_case__						,							snake_case__=m		):




    '''simple docstring'''



    A			:  List[Any]   =		0
    for i in range(snake_case__		):
        if index == -1:
            summation_value += _error(snake_case__		)
        else:
            summation_value += _error(snake_case__		) * train_data[i][0][index]
    return summation_value







def 						lowerCAmelCase_							(  snake_case__		):




    '''simple docstring'''



    A			:  List[Any]   =		summation_of_cost_derivative(snake_case__						,							snake_case__		) / m
    return cost_derivative_value







def 						lowerCAmelCase_							(  ):




    '''simple docstring'''



    global parameter_vector
    # Tune these values to set a tolerance value for predicted output
    A			:  Dict   =		0.00_00_02
    A			:  Optional[Any]   =		0
    A			:  int   =		0
    while True:
        j += 1
        A			:  List[str]   =		[0, 0, 0, 0]
        for i in range(0						,							len(snake_case__		)		):
            A			:  Union[str, Any]   =		get_cost_derivative(i - 1		)
            A			:  Tuple   =		(
                parameter_vector[i] - LEARNING_RATE * cost_derivative
            )
        if numpy.allclose(
            snake_case__						,							snake_case__						,							atol=snake_case__						,							rtol=snake_case__						,							):
            break
        A			:  List[Any]   =		temp_parameter_vector
    print(('''Number of iterations:''', j)		)







def 						lowerCAmelCase_							(  ):




    '''simple docstring'''



    for i in range(len(snake_case__		)		):
        print(('''Actual output value:''', output(snake_case__						,							'''test'''		))		)
        print(('''Hypothesis output:''', calculate_hypothesis_value(snake_case__						,							'''test'''		))		)


if __name__ == "__main__":
      run_gradient_descent()
      print('\nTesting gradient descent for a linear hypothesis function.\n')
      test_gradient_descent()




