
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 							a__					(							snake_case							):





  """simple docstring"""
  assert "mock" in _fsspec_registry
  assert "bz2" in _fsspec_registry


def 							a__					(							):





  """simple docstring"""
  assert "mock" not in _fsspec_registry
  assert "bz2" in _fsspec_registry


def 							a__					(							):





  """simple docstring"""
  __SCREAMING_SNAKE_CASE      :	Optional[Any]					=		'''mock-s3-bucket'''
  __SCREAMING_SNAKE_CASE      :	int					=		F'''s3://{mock_bucket}'''
  __SCREAMING_SNAKE_CASE      :	Dict					=		extract_path_from_uri(snake_case							)
  assert dataset_path.startswith('''s3://'''							) is False

  __SCREAMING_SNAKE_CASE      :	List[str]					=		'''./local/path'''
  __SCREAMING_SNAKE_CASE      :	str					=		extract_path_from_uri(snake_case							)
  assert dataset_path == new_dataset_path


def 							a__					(							snake_case							):





  """simple docstring"""
  __SCREAMING_SNAKE_CASE      :	int					=		is_remote_filesystem(snake_case							)
  assert is_remote is True

  __SCREAMING_SNAKE_CASE      :	int					=		fsspec.filesystem('''file'''							)

  __SCREAMING_SNAKE_CASE      :	str					=		is_remote_filesystem(snake_case							)
  assert is_remote is False


@pytest.mark.parametrize('''compression_fs_class'''       ,			snake_case							)
def 							a__					(							snake_case       ,			snake_case       ,			snake_case       ,			snake_case       ,			snake_case       ,			snake_case       ,			snake_case							):





  """simple docstring"""
  __SCREAMING_SNAKE_CASE      :	Tuple					=		{'''gzip''': gz_file, '''xz''': xz_file, '''zstd''': zstd_file, '''bz2''': bza_file, '''lz4''': lza_file}
  __SCREAMING_SNAKE_CASE      :	List[str]					=		input_paths[compression_fs_class.protocol]
  if input_path is None:
    __SCREAMING_SNAKE_CASE      :	Any					=		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(snake_case							)
  __SCREAMING_SNAKE_CASE      :	str					=		fsspec.filesystem(compression_fs_class.protocol       ,			fo=snake_case							)
  assert isinstance(snake_case       ,			snake_case							)
  __SCREAMING_SNAKE_CASE      :	Union[str, Any]					=		os.path.basename(snake_case							)
  __SCREAMING_SNAKE_CASE      :	Optional[int]					=		expected_filename[: expected_filename.rindex('''.'''							)]
  assert fs.glob('''*'''							) == [expected_filename]
  with fs.open(snake_case       ,			'''r'''       ,			encoding='''utf-8'''							) as f, open(snake_case       ,			encoding='''utf-8'''							) as expected_file:
    assert f.read() == expected_file.read()


@pytest.mark.parametrize('''protocol'''       ,			['''zip''', '''gzip''']							)
def 							a__					(							snake_case       ,			snake_case       ,			snake_case							):





  """simple docstring"""
  __SCREAMING_SNAKE_CASE      :	Optional[Any]					=		{'''zip''': zip_jsonl_path, '''gzip''': jsonl_gz_path}
  __SCREAMING_SNAKE_CASE      :	Dict					=		compressed_file_paths[protocol]
  __SCREAMING_SNAKE_CASE      :	int					=		'''dataset.jsonl'''
  __SCREAMING_SNAKE_CASE      :	int					=		F'''{protocol}://{member_file_path}::{compressed_file_path}'''
  __SCREAMING_SNAKE_CASE,		*__SCREAMING_SNAKE_CASE      :	Dict					=		fsspec.get_fs_token_paths(snake_case							)
  assert fs.isfile(snake_case							)
  assert not fs.isfile('''non_existing_''' + member_file_path							)


@pytest.mark.integration
def 							a__					(							snake_case       ,			snake_case       ,			snake_case       ,			snake_case							):





  """simple docstring"""
  __SCREAMING_SNAKE_CASE      :	Any					=		hf_api.dataset_info(snake_case       ,			token=snake_case							)
  __SCREAMING_SNAKE_CASE      :	Optional[Any]					=		HfFileSystem(repo_info=snake_case       ,			token=snake_case							)
  assert sorted(hffs.glob('''*'''							)							) == [".gitattributes", "data"]
  assert hffs.isdir('''data'''							)
  assert hffs.isfile('''.gitattributes'''							) and hffs.isfile('''data/text_data.txt'''							)
  with open(snake_case							) as f:
    assert hffs.open('''data/text_data.txt'''       ,			'''r'''							).read() == f.read()


def 							a__					(							):





  """simple docstring"""
  __SCREAMING_SNAKE_CASE      :	str					=		'''bz2'''

  # Import module
  import datasets.filesystems

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

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

import os
import re
import shutil
import sys
import tempfile
import unittest

import black


_lowerCAmelCase       =		os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, "utils"))

import check_copies  # noqa: E402


# This is the reference code that will be used in the tests.
# If DDPMSchedulerOutput is changed in scheduling_ddpm.py, this code needs to be manually updated.
_lowerCAmelCase       =		"    \"\"\"\n    Output class for the scheduler's step function output.\n\n    Args:\n        prev_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):\n            Computed sample (x_{t-1}) of previous timestep. `prev_sample` should be used as next model input in the\n            denoising loop.\n        pred_original_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):\n            The predicted denoised sample (x_{0}) based on the model output from the current timestep.\n            `pred_original_sample` can be used to preview progress or for guidance.\n    \"\"\"\n\n    prev_sample: torch.FloatTensor\n    pred_original_sample: Optional[torch.FloatTensor] = None\n"
class     lowerCAmelCase_     (       unittest.TestCase ):







							def  UpperCamelCase_						(   self      :     List[Any]		):
												_UpperCamelCase			     =     tempfile.mkdtemp()
												os.makedirs(os.path.join(self.diffusers_dir ,			'''schedulers/'''		)		)
												_UpperCamelCase			     =     self.diffusers_dir
												shutil.copy(
												    os.path.join(_A ,			'''src/diffusers/schedulers/scheduling_ddpm.py'''		) ,			os.path.join(self.diffusers_dir ,			'''schedulers/scheduling_ddpm.py'''		) ,			)







							def  UpperCamelCase_						(   self      :     List[str]		):
												_UpperCamelCase			     =     '''src/diffusers'''
												shutil.rmtree(self.diffusers_dir		)







							def  UpperCamelCase_						(   self      :     str ,			_A      :     List[str] ,			_A      :     Optional[Any] ,			_A      :     List[str] ,			_A      :     Optional[int]=None		):
												_UpperCamelCase			     =     comment + F"""\nclass {class_name}(nn.Module):\n""" + class_code
												if overwrite_result is not None:
																	_UpperCamelCase			     =     comment + F"""\nclass {class_name}(nn.Module):\n""" + overwrite_result
												_UpperCamelCase			     =     black.Mode(target_versions={black.TargetVersion.PYaa} ,			line_length=119		)
												_UpperCamelCase			     =     black.format_str(_A ,			mode=_A		)
												_UpperCamelCase			     =     os.path.join(self.diffusers_dir ,			'''new_code.py'''		)
												with open(_A ,			'''w''' ,			newline='''\n'''		) as f:
																	f.write(_A		)
												if overwrite_result is None:
																	self.assertTrue(len(check_copies.is_copy_consistent(_A		)		) == 0		)
												else:
																	check_copies.is_copy_consistent(f.name ,			overwrite=_A		)
																	with open(_A ,			'''r'''		) as f:
																						self.assertTrue(f.read() ,			_A		)







							def  UpperCamelCase_						(   self      :     Any		):
												_UpperCamelCase			     =     check_copies.find_code_in_diffusers('''schedulers.scheduling_ddpm.DDPMSchedulerOutput'''		)
												self.assertEqual(_A ,			_A		)







							def  UpperCamelCase_						(   self      :     List[str]		):
												# Base copy consistency
												self.check_copy_consistency(
												    '''# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput''' ,			'''DDPMSchedulerOutput''' ,			REFERENCE_CODE + '''\n''' ,			)

												# With no empty line at the end
												self.check_copy_consistency(
												    '''# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput''' ,			'''DDPMSchedulerOutput''' ,			_A ,			)

												# Copy consistency with rename
												self.check_copy_consistency(
												    '''# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->Test''' ,			'''TestSchedulerOutput''' ,			re.sub('''DDPM''' ,			'''Test''' ,			_A		) ,			)

												# Copy consistency with a really long name
												_UpperCamelCase			     =     '''TestClassWithAReallyLongNameBecauseSomePeopleLikeThatForSomeReason'''
												self.check_copy_consistency(
												    F"""# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->{long_class_name}""" ,			F"""{long_class_name}SchedulerOutput""" ,			re.sub('''Bert''' ,			_A ,			_A		) ,			)

												# Copy consistency with overwrite
												self.check_copy_consistency(
												    '''# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->Test''' ,			'''TestSchedulerOutput''' ,			_A ,			overwrite_result=re.sub('''DDPM''' ,			'''Test''' ,			_A		) ,			)
