


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__	(      a	:   Union[str, Any]				)    ->	str:





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


def 				lowerCamelCase__	(      )    ->	Any:





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


def 				lowerCamelCase__	(      )    ->	str:





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

   a__ :Optional[int]						  =    """./local/path"""
   a__ :Dict						  =    extract_path_from_uri(lowerCamelCase_				)
   assert dataset_path == new_dataset_path


def 				lowerCamelCase__	(      a	:   Optional[Any]				)    ->	str:





   """simple docstring"""
   a__ :Optional[Any]						  =    is_remote_filesystem(lowerCamelCase_				)
   assert is_remote is True

   a__ :List[str]						  =    fsspec.filesystem("file"				)

   a__ :Any						  =    is_remote_filesystem(lowerCamelCase_				)
   assert is_remote is False


@pytest.mark.parametrize("compression_fs_class"	,  lowerCamelCase_				)
def 				lowerCamelCase__	(      a	:   str	,  a	:   Dict	,  a	:   Tuple	,  a	:   List[Any]	,  a	:   int	,  a	:   Union[str, Any]	,  a	:   Optional[int]				)    ->	Optional[Any]:





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


@pytest.mark.parametrize("protocol"	,  ["zip", "gzip"]				)
def 				lowerCamelCase__	(      a	:   str	,  a	:   Optional[int]	,  a	:   Any				)    ->	int:





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


@pytest.mark.integration
def 				lowerCamelCase__	(      a	:   Any	,  a	:   Union[str, Any]	,  a	:   List[Any]	,  a	:   str				)    ->	Optional[int]:





   """simple docstring"""
   a__ :List[str]						  =    hf_api.dataset_info(lowerCamelCase_	,  token=lowerCamelCase_				)
   a__ :Tuple						  =    HfFileSystem(repo_info=lowerCamelCase_	,  token=lowerCamelCase_				)
   assert sorted(hffs.glob("*"				)				) == [".gitattributes", "data"]
   assert hffs.isdir("data"				)
   assert hffs.isfile(".gitattributes"				) and hffs.isfile("data/text_data.txt"				)
   with open(lowerCamelCase_				) as f:
      assert hffs.open("data/text_data.txt"	,  "r"				).read() == f.read()







def 				lowerCamelCase__	(      )    ->	Optional[Any]:





   """simple docstring"""
   a__ :List[str]						  =    """bz2"""

   # Import module
   import datasets.filesystems

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

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






from ...configuration_utils import PretrainedConfig
from ...utils import logging


snake_case__			 =						logging.get_logger(__name__)

snake_case__			 =						{
    '''google/pegasus-large''': '''https://huggingface.co/google/pegasus-large/resolve/main/config.json''',
    # See all PEGASUS models at https://huggingface.co/models?filter=pegasus
}


class 					lowerCAmelCase_ (       _a):
						lowerCamelCase_         =     'pegasus'
						lowerCamelCase_         =     ['past_key_values']
						lowerCamelCase_         =     {'num_attention_heads': 'encoder_attention_heads', 'hidden_size': 'd_model'}




						def __init__(	self						:   Any   ,     __A						:   Dict=50265   ,     __A						:   List[Any]=1024   ,     __A						:   int=12   ,     __A						:   Optional[Any]=4096   ,     __A						:   Optional[int]=16   ,     __A						:   Dict=12   ,     __A						:   List[Any]=4096   ,     __A						:   List[str]=16   ,     __A						:   Optional[int]=0.0   ,     __A						:   List[Any]=0.0   ,     __A						:   List[str]=True   ,     __A						:   Optional[int]=True   ,     __A						:   str="gelu"   ,     __A						:   Tuple=1024   ,     __A						:   Any=0.1   ,     __A						:   List[Any]=0.0   ,     __A						:   List[str]=0.0   ,     __A						:   Tuple=0.02   ,     __A						:   Union[str, Any]=0   ,     __A						:   Union[str, Any]=False   ,     __A						:   Optional[Any]=0   ,     __A						:   Tuple=1   ,     __A						:   str=1   ,     **__A						:   Any   ,     )      ->Union[str, Any]:






									"""simple docstring"""






									a__ :Any						  =    vocab_size
									a__ :List[str]						  =    max_position_embeddings
									a__ :int						  =    d_model
									a__ :Union[str, Any]						  =    encoder_ffn_dim
									a__ :List[Any]						  =    encoder_layers
									a__ :Union[str, Any]						  =    encoder_attention_heads
									a__ :Tuple						  =    decoder_ffn_dim
									a__ :List[Any]						  =    decoder_layers
									a__ :Tuple						  =    decoder_attention_heads
									a__ :Optional[int]						  =    dropout
									a__ :str						  =    attention_dropout
									a__ :Optional[int]						  =    activation_dropout
									a__ :str						  =    activation_function
									a__ :Dict						  =    init_std
									a__ :Any						  =    encoder_layerdrop
									a__ :int						  =    decoder_layerdrop
									a__ :Union[str, Any]						  =    use_cache
									a__ :List[Any]						  =    encoder_layers
									a__ :Dict						  =    scale_embedding  # scale factor will be sqrt(d_model) if True
									super().__init__(
									    pad_token_id=__A   ,     eos_token_id=__A   ,     is_encoder_decoder=__A   ,     decoder_start_token_id=__A   ,     forced_eos_token_id=__A   ,     **__A   ,     )




						@property
						def  _snake_case					(	self						:   Optional[Any]						)      ->int:






									"""simple docstring"""






									return self.encoder_attention_heads






						@property
						def  _snake_case					(	self						:   Union[str, Any]						)      ->int:






									"""simple docstring"""






									return self.d_model


