
import importlib
import shutil
import threading
import warnings
from typing import List

import fsspec
import fsspec.asyn

from . import compression
from .hffilesystem import HfFileSystem


_A						      =				importlib.util.find_spec("s3fs") is not None

if _has_safs:
   from .safilesystem import SaFileSystem  # noqa: F401

_A						      =				[
    compression.BzaFileSystem,
    compression.GzipFileSystem,
    compression.LzaFileSystem,
    compression.XzFileSystem,
    compression.ZstdFileSystem,
]

# Register custom filesystems
for fs_class in COMPRESSION_FILESYSTEMS + [HfFileSystem]:
   if fs_class.protocol in fsspec.registry and fsspec.registry[fs_class.protocol] is not fs_class:
      warnings.warn(f"A filesystem protocol was already set for {fs_class.protocol} and will be overwritten.")
   fsspec.register_implementation(fs_class.protocol, fs_class, clobber=True)



def 		lowercase_    (     A__	)							->							Dict:
    """simple docstring"""

    if "://" in dataset_path:
        snake_case				  =      dataset_path.split("://"	)[1]
    return dataset_path



def 		lowercase_    (     A__	)							->							int:
    """simple docstring"""

    if fs is not None and fs.protocol != "file":
        return True
    else:
        return False



def 		lowercase_    (     A__				,	A__				,	A__	)							->							List[Any]:
    """simple docstring"""

    snake_case				  =      not is_remote_filesystem(_UpperCamelCase	)
    if is_local:
        # LocalFileSystem.mv does copy + rm, it is more efficient to simply move a local directory
        shutil.move(fs._strip_protocol(_UpperCamelCase	)				,	fs._strip_protocol(_UpperCamelCase	)	)
    else:
        fs.mv(_UpperCamelCase				,	_UpperCamelCase				,	recursive=_UpperCamelCase	)





def 		lowercase_    (     )							->							int:
    """simple docstring"""

    if hasattr(fsspec.asyn				,	"reset_lock"	):
        # for future fsspec>2022.05.0
        fsspec.asyn.reset_lock()
    else:
        snake_case				  =      None
        snake_case				  =      None
        snake_case				  =      threading.Lock()



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


_A						      =				logging.get_logger(__name__)

_A						      =				{
    "google/canine-s": "https://huggingface.co/google/canine-s/resolve/main/config.json",
    # See all CANINE models at https://huggingface.co/models?filter=canine
}







class   lowerCamelCase	(						A_						):
     UpperCAmelCase__       :							Dict     =	"canine"





     def __init__(self   :					List[Any]       ,					_A   :					Union[str, Any]=7_6_8       ,					_A   :					Any=1_2       ,					_A   :					List[Any]=1_2       ,					_A   :					List[Any]=3_0_7_2       ,					_A   :					Dict="gelu"       ,					_A   :					Optional[Any]=0.1       ,					_A   :					Tuple=0.1       ,					_A   :					str=1_6_3_8_4       ,					_A   :					Union[str, Any]=1_6       ,					_A   :					Any=0.02       ,					_A   :					List[str]=1E-12       ,					_A   :					Union[str, Any]=0       ,					_A   :					Dict=0Xe0_00       ,					_A   :					List[Any]=0Xe0_01       ,					_A   :					int=4       ,					_A   :					str=4       ,					_A   :					Optional[int]=8       ,					_A   :					Optional[Any]=1_6_3_8_4       ,					_A   :					Optional[Any]=1_2_8       ,					**_A   :					Union[str, Any]       ,					)		->		Union[str, Any]:
         super().__init__(pad_token_id=_A       ,					bos_token_id=_A       ,					eos_token_id=_A       ,					**_A     )

         snake_case				  =      max_position_embeddings
         snake_case				  =      hidden_size
         snake_case				  =      num_hidden_layers
         snake_case				  =      num_attention_heads
         snake_case				  =      intermediate_size
         snake_case				  =      hidden_act
         snake_case				  =      hidden_dropout_prob
         snake_case				  =      attention_probs_dropout_prob
         snake_case				  =      initializer_range
         snake_case				  =      type_vocab_size
         snake_case				  =      layer_norm_eps

         # Character config:
         snake_case				  =      downsampling_rate
         snake_case				  =      upsampling_kernel_size
         snake_case				  =      num_hash_functions
         snake_case				  =      num_hash_buckets
         snake_case				  =      local_transformer_stride

