





import importlib
import os

import fsspec
import pytest
from fsspec import register_implementation
from fsspec.registry import _registry as _fsspec_registry

from datasets.filesystems import COMPRESSION_FILESYSTEMS, HfFileSystem, extract_path_from_uri, is_remote_filesystem

from .utils import require_lza, require_zstandard


def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase )			->     Dict:
    assert "mock" in _fsspec_registry
    assert "bz2" in _fsspec_registry


def        SCREAMING_SNAKE_CASE      (       )			->     List[Any]:
    assert "mock" not in _fsspec_registry
    assert "bz2" in _fsspec_registry


def        SCREAMING_SNAKE_CASE      (       )			->     Any:
    lowerCamelCase__    :      str					 =		'mock-s3-bucket'
    lowerCamelCase__    :      Any					 =		F"""s3://{mock_bucket}"""
    lowerCamelCase__    :      int					 =		extract_path_from_uri(_UpperCAmelCase )
    assert dataset_path.startswith('s3://' ) is False

    lowerCamelCase__    :      List[Any]					 =		'./local/path'
    lowerCamelCase__    :      Tuple					 =		extract_path_from_uri(_UpperCAmelCase )
    assert dataset_path == new_dataset_path


def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase )			->     Union[str, Any]:
    lowerCamelCase__    :      Optional[Any]					 =		is_remote_filesystem(_UpperCAmelCase )
    assert is_remote is True

    lowerCamelCase__    :      List[str]					 =		fsspec.filesystem('file' )

    lowerCamelCase__    :      List[str]					 =		is_remote_filesystem(_UpperCAmelCase )
    assert is_remote is False


@pytest.mark.parametrize('compression_fs_class'						,	_UpperCAmelCase )
def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase						,	_UpperCAmelCase						,	_UpperCAmelCase						,	_UpperCAmelCase						,	_UpperCAmelCase						,	_UpperCAmelCase						,	_UpperCAmelCase )			->     Union[str, Any]:
    lowerCamelCase__    :      Any					 =		{'gzip': gz_file, 'xz': xz_file, 'zstd': zstd_file, 'bz2': bza_file, 'lz4': lza_file}
    lowerCamelCase__    :      str					 =		input_paths[compression_fs_class.protocol]
    if input_path is None:
        lowerCamelCase__    :      List[str]					 =		F"""for '{compression_fs_class.protocol}' compression protocol, """
        if compression_fs_class.protocol == "lz4":
            reason += require_lza.kwargs["reason"]
        elif compression_fs_class.protocol == "zstd":
            reason += require_zstandard.kwargs["reason"]
        pytest.skip(_UpperCAmelCase )
    lowerCamelCase__    :      Dict					 =		fsspec.filesystem(compression_fs_class.protocol						,	fo=_UpperCAmelCase )
    assert isinstance(_UpperCAmelCase						,	_UpperCAmelCase )
    lowerCamelCase__    :      Optional[int]					 =		os.path.basename(_UpperCAmelCase )
    lowerCamelCase__    :      List[Any]					 =		expected_filename[: expected_filename.rindex('.' )]
    assert fs.glob('*' ) == [expected_filename]
    with fs.open(_UpperCAmelCase						,	'r'						,	encoding='utf-8' ) as f, open(_UpperCAmelCase						,	encoding='utf-8' ) as expected_file:
        assert f.read() == expected_file.read()


@pytest.mark.parametrize('protocol'						,	['zip', 'gzip'] )
def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase						,	_UpperCAmelCase						,	_UpperCAmelCase )			->     List[str]:
    lowerCamelCase__    :      Optional[Any]					 =		{'zip': zip_jsonl_path, 'gzip': jsonl_gz_path}
    lowerCamelCase__    :      List[str]					 =		compressed_file_paths[protocol]
    lowerCamelCase__    :      List[str]					 =		'dataset.jsonl'
    lowerCamelCase__    :      Optional[Any]					 =		F"""{protocol}://{member_file_path}::{compressed_file_path}"""
    lowerCamelCase__ ,							*lowerCamelCase__    :      Optional[int]					 =		fsspec.get_fs_token_paths(_UpperCAmelCase )
    assert fs.isfile(_UpperCAmelCase )
    assert not fs.isfile('non_existing_' + member_file_path )


@pytest.mark.integration
def        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase						,	_UpperCAmelCase						,	_UpperCAmelCase						,	_UpperCAmelCase )			->     Tuple:
    lowerCamelCase__    :      Optional[int]					 =		hf_api.dataset_info(_UpperCAmelCase						,	token=_UpperCAmelCase )
    lowerCamelCase__    :      Any					 =		HfFileSystem(repo_info=_UpperCAmelCase						,	token=_UpperCAmelCase )
    assert sorted(hffs.glob('*' ) ) == [".gitattributes", "data"]
    assert hffs.isdir('data' )
    assert hffs.isfile('.gitattributes' ) and hffs.isfile('data/text_data.txt' )
    with open(_UpperCAmelCase ) as f:
        assert hffs.open('data/text_data.txt'						,	'r' ).read() == f.read()


def        SCREAMING_SNAKE_CASE      (       )			->     List[Any]:
    lowerCamelCase__    :      List[Any]					 =		'bz2'

    # Import module
    import datasets.filesystems

    # Overwrite protocol and reload
    register_implementation(_UpperCAmelCase						,	_UpperCAmelCase						,	clobber=_UpperCAmelCase )
    with pytest.warns(_UpperCAmelCase ) as warning_info:
        importlib.reload(datasets.filesystems )

    assert len(_UpperCAmelCase ) == 1
    assert (
        str(warning_info[0].message )
        == F"""A filesystem protocol was already set for {protocol} and will be overwritten."""
    )






import math
import random




def    lowerCAmelCase_ (     __A,  __A = False							)     ->				float:







      '''simple docstring'''


      if deriv:
            return value * (1 - value)
      return 1 / (1 + math.exp(-value							))


# Initial Value
UpperCamelCase__											=					0.0_2




def    lowerCAmelCase_ (     __A,  __A							)     ->				float:







      '''simple docstring'''


      UpperCAmelCase__								=  float(2 * (random.randint(1,  100							)) - 1							)

      for _ in range(__A							):
            # Forward propagation
            UpperCAmelCase__								=  sigmoid_function(INITIAL_VALUE * weight							)
            # How much did we miss?
            UpperCAmelCase__								=  (expected / 100) - layer_a
            # Error delta
            UpperCAmelCase__								=  layer_1_error * sigmoid_function(__A,  __A							)
            # Update weight
            weight += INITIAL_VALUE * layer_1_delta

      return layer_a * 100


if __name__ == "__main__":
      import doctest

      doctest.testmod()

      UpperCamelCase__											=					int(input('Expected value: '))
      UpperCamelCase__											=					int(input('Number of propagations: '))
      print(forward_propagation(expected, number_propagations))



