





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    __UpperCAmelCase(      lowercase_      ):
       assert "mock" in _fsspec_registry
       assert "bz2" in _fsspec_registry




def    __UpperCAmelCase(      ):
       assert "mock" not in _fsspec_registry
       assert "bz2" in _fsspec_registry




def    __UpperCAmelCase(      ):
       _lowerCamelCase							:     Optional[Any]	=		'''mock-s3-bucket'''
       _lowerCamelCase							:     Dict	=		F"""s3://{mock_bucket}"""
       _lowerCamelCase							:     List[str]	=		extract_path_from_uri(lowercase_      )
       assert dataset_path.startswith('''s3://'''      ) is False

       _lowerCamelCase							:     List[Any]	=		'''./local/path'''
       _lowerCamelCase							:     Any	=		extract_path_from_uri(lowercase_      )
       assert dataset_path == new_dataset_path




def    __UpperCAmelCase(      lowercase_      ):
       _lowerCamelCase							:     List[Any]	=		is_remote_filesystem(lowercase_      )
       assert is_remote is True

       _lowerCamelCase							:     Tuple	=		fsspec.filesystem('''file'''      )

       _lowerCamelCase							:     Any	=		is_remote_filesystem(lowercase_      )
       assert is_remote is False




@pytest.mark.parametrize('''compression_fs_class''' ,    lowercase_      )
def    __UpperCAmelCase(      lowercase_ ,    lowercase_ ,    lowercase_ ,    lowercase_ ,    lowercase_ ,    lowercase_ ,    lowercase_      ):
       _lowerCamelCase							:     Dict	=		{'''gzip''': gz_file, '''xz''': xz_file, '''zstd''': zstd_file, '''bz2''': bza_file, '''lz4''': lza_file}
       _lowerCamelCase							:     int	=		input_paths[compression_fs_class.protocol]
       if input_path is None:
              _lowerCamelCase							:     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(lowercase_      )
       _lowerCamelCase							:     str	=		fsspec.filesystem(compression_fs_class.protocol ,    fo=lowercase_      )
       assert isinstance(lowercase_ ,    lowercase_      )
       _lowerCamelCase							:     Any	=		os.path.basename(lowercase_      )
       _lowerCamelCase							:     int	=		expected_filename[: expected_filename.rindex('''.'''      )]
       assert fs.glob('''*'''      ) == [expected_filename]
       with fs.open(lowercase_ ,    '''r''' ,    encoding='''utf-8'''      ) as f, open(lowercase_ ,    encoding='''utf-8'''      ) as expected_file:
              assert f.read() == expected_file.read()




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




@pytest.mark.integration
def    __UpperCAmelCase(      lowercase_ ,    lowercase_ ,    lowercase_ ,    lowercase_      ):
       _lowerCamelCase							:     Optional[int]	=		hf_api.dataset_info(lowercase_ ,    token=lowercase_      )
       _lowerCamelCase							:     Dict	=		HfFileSystem(repo_info=lowercase_ ,    token=lowercase_      )
       assert sorted(hffs.glob('''*'''      )      ) == [".gitattributes", "data"]
       assert hffs.isdir('''data'''      )
       assert hffs.isfile('''.gitattributes'''      ) and hffs.isfile('''data/text_data.txt'''      )
       with open(lowercase_      ) as f:
              assert hffs.open('''data/text_data.txt''' ,    '''r'''      ).read() == f.read()




def    __UpperCAmelCase(      ):
       _lowerCamelCase							:     List[Any]	=		'''bz2'''

       # Import module
       import datasets.filesystems

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

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








from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


_lowerCamelCase			       =      {'configuration_opt': ['OPT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'OPTConfig']}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       _lowerCamelCase			       =      [
           'OPT_PRETRAINED_MODEL_ARCHIVE_LIST',
           'OPTForCausalLM',
           'OPTModel',
           'OPTPreTrainedModel',
           'OPTForSequenceClassification',
           'OPTForQuestionAnswering',
       ]

try:
       if not is_tf_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       _lowerCamelCase			       =      ['TFOPTForCausalLM', 'TFOPTModel', 'TFOPTPreTrainedModel']

try:
       if not is_flax_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       _lowerCamelCase			       =      [
           'FlaxOPTForCausalLM',
           'FlaxOPTModel',
           'FlaxOPTPreTrainedModel',
       ]


if TYPE_CHECKING:
       from .configuration_opt import OPT_PRETRAINED_CONFIG_ARCHIVE_MAP, OPTConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_opt import (
                  OPT_PRETRAINED_MODEL_ARCHIVE_LIST,
                  OPTForCausalLM,
                  OPTForQuestionAnswering,
                  OPTForSequenceClassification,
                  OPTModel,
                  OPTPreTrainedModel,
              )

       try:
              if not is_tf_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_tf_opt import TFOPTForCausalLM, TFOPTModel, TFOPTPreTrainedModel

       try:
              if not is_flax_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_flax_opt import FlaxOPTForCausalLM, FlaxOPTModel, FlaxOPTPreTrainedModel

else:
       import sys

       _lowerCamelCase			       =      _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

