




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      __lowerCAmelCase			(					UpperCamelCase      )     ->	Optional[int]:
  assert "mock" in _fsspec_registry
  assert "bz2" in _fsspec_registry



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



def      __lowerCAmelCase			(					)     ->	Optional[Any]:
  lowerCAmelCase__				:  str		       =     '''mock-s3-bucket'''
  lowerCAmelCase__				:  int		       =     F"""s3://{mock_bucket}"""
  lowerCAmelCase__				:  Dict		       =     extract_path_from_uri(UpperCamelCase      )
  assert dataset_path.startswith('''s3://'''      ) is False

  lowerCAmelCase__				:  str		       =     '''./local/path'''
  lowerCAmelCase__				:  str		       =     extract_path_from_uri(UpperCamelCase      )
  assert dataset_path == new_dataset_path



def      __lowerCAmelCase			(					UpperCamelCase      )     ->	List[Any]:
  lowerCAmelCase__				:  Any		       =     is_remote_filesystem(UpperCamelCase      )
  assert is_remote is True

  lowerCAmelCase__				:  List[Any]		       =     fsspec.filesystem('''file'''      )

  lowerCAmelCase__				:  Union[str, Any]		       =     is_remote_filesystem(UpperCamelCase      )
  assert is_remote is False



@pytest.mark.parametrize('''compression_fs_class'''	,      UpperCamelCase      )
def      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase      )     ->	Tuple:
  lowerCAmelCase__				:  Optional[int]		       =     {'''gzip''': gz_file, '''xz''': xz_file, '''zstd''': zstd_file, '''bz2''': bza_file, '''lz4''': lza_file}
  lowerCAmelCase__				:  Any		       =     input_paths[compression_fs_class.protocol]
  if input_path is None:
    lowerCAmelCase__				:  int		       =     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__				:  Tuple		       =     fsspec.filesystem(compression_fs_class.protocol	,      fo=UpperCamelCase      )
  assert isinstance(UpperCamelCase	,      UpperCamelCase      )
  lowerCAmelCase__				:  Optional[Any]		       =     os.path.basename(UpperCamelCase      )
  lowerCAmelCase__				:  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      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase      )     ->	Optional[int]:
  lowerCAmelCase__				:  str		       =     {'''zip''': zip_jsonl_path, '''gzip''': jsonl_gz_path}
  lowerCAmelCase__				:  List[str]		       =     compressed_file_paths[protocol]
  lowerCAmelCase__				:  Tuple		       =     '''dataset.jsonl'''
  lowerCAmelCase__				:  Dict		       =     F"""{protocol}://{member_file_path}::{compressed_file_path}"""
  lowerCAmelCase__       ,			*lowerCAmelCase__				:  Tuple		       =     fsspec.get_fs_token_paths(UpperCamelCase      )
  assert fs.isfile(UpperCamelCase      )
  assert not fs.isfile('''non_existing_''' + member_file_path      )



@pytest.mark.integration
def      __lowerCAmelCase			(					UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase	,      UpperCamelCase      )     ->	int:
  lowerCAmelCase__				:  Optional[int]		       =     hf_api.dataset_info(UpperCamelCase	,      token=UpperCamelCase      )
  lowerCAmelCase__				:  List[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      __lowerCAmelCase			(					)     ->	List[str]:
  lowerCAmelCase__				:  List[str]		       =     '''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."""
  )







from datetime import datetime

import matplotlib.pyplot as plt
import torch



def      __lowerCAmelCase			(					UpperCamelCase      )     ->	str:
  for param in module.parameters():
    lowerCAmelCase__				:  int		       =     False



def      __lowerCAmelCase			(					)     ->	Optional[Any]:
  lowerCAmelCase__				:  List[Any]		       =     '''cuda''' if torch.cuda.is_available() else '''cpu'''
  if torch.backends.mps.is_available() and torch.backends.mps.is_built():
    lowerCAmelCase__				:  Optional[Any]		       =     '''mps'''
  if device == "mps":
    print(
        '''WARNING: MPS currently doesn\'t seem to work, and messes up backpropagation without any visible torch'''
        ''' errors. I recommend using CUDA on a colab notebook or CPU instead if you\'re facing inexplicable issues'''
        ''' with generations.'''      )
  return device



def      __lowerCAmelCase			(					UpperCamelCase      )     ->	List[Any]:
  lowerCAmelCase__				:  str		       =     plt.imshow(UpperCamelCase      )
  fig.axes.get_xaxis().set_visible(UpperCamelCase      )
  fig.axes.get_yaxis().set_visible(UpperCamelCase      )
  plt.show()



def      __lowerCAmelCase			(					)     ->	str:
  lowerCAmelCase__				:  Dict		       =     datetime.now()
  lowerCAmelCase__				:  Optional[int]		       =     current_time.strftime('''%H:%M:%S'''      )
  return timestamp

