from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__SCREAMING_SNAKE_CASE						:   Any         =			logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE						:   List[Any]         =			{
    'camembert-base': 'https://huggingface.co/camembert-base/resolve/main/config.json',
    'umberto-commoncrawl-cased-v1': (
        'https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1/resolve/main/config.json'
    ),
    'umberto-wikipedia-uncased-v1': (
        'https://huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1/resolve/main/config.json'
    ),
}



class        lowercase_   (					__snake_case		):
       _lowerCamelCase						=		'camembert'



       def __init__(						self				,    lowercase_=30_522				,    lowercase_=768				,    lowercase_=12				,    lowercase_=12				,    lowercase_=3_072				,    lowercase_="gelu"				,    lowercase_=0.1				,    lowercase_=0.1				,    lowercase_=512				,    lowercase_=2				,    lowercase_=0.02				,    lowercase_=1e-12				,    lowercase_=1				,    lowercase_=0				,    lowercase_=2				,    lowercase_="absolute"				,    lowercase_=True				,    lowercase_=None				,    **lowercase_				,    ):
             super().__init__(pad_token_id=lowercase_				,    bos_token_id=lowercase_				,    eos_token_id=lowercase_				,    **lowercase_    )

             _snake_case						:					str    =   vocab_size
             _snake_case						:					Any    =   hidden_size
             _snake_case						:					Optional[int]    =   num_hidden_layers
             _snake_case						:					Optional[int]    =   num_attention_heads
             _snake_case						:					int    =   hidden_act
             _snake_case						:					List[Any]    =   intermediate_size
             _snake_case						:					int    =   hidden_dropout_prob
             _snake_case						:					str    =   attention_probs_dropout_prob
             _snake_case						:					List[Any]    =   max_position_embeddings
             _snake_case						:					Dict    =   type_vocab_size
             _snake_case						:					Optional[int]    =   initializer_range
             _snake_case						:					Optional[Any]    =   layer_norm_eps
             _snake_case						:					Union[str, Any]    =   position_embedding_type
             _snake_case						:					Any    =   use_cache
             _snake_case						:					Union[str, Any]    =   classifier_dropout




class        lowercase_   (					__snake_case		):



       @property
       def 	UpperCamelCase	(						self    ):
             if self.task == "multiple-choice":
                   _snake_case						:					Tuple    =   {0: "batch", 1: "choice", 2: "sequence"}
             else:
                   _snake_case						:					List[Any]    =   {0: "batch", 1: "sequence"}
             return OrderedDict(
                 [
                     ("input_ids", dynamic_axis),
                     ("attention_mask", dynamic_axis),
                 ]    )
import importlib
import shutil
import threading
import warnings
from typing import List

import fsspec
import fsspec.asyn

from . import compression
from .hffilesystem import HfFileSystem


__SCREAMING_SNAKE_CASE						:   Any         =			importlib.util.find_spec('s3fs') is not None

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

__SCREAMING_SNAKE_CASE						:   List[compression.BaseCompressedFileFileSystem]         =			[
    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  snake_case						(__lowercase						)	->	str:

						'''simple docstring'''



						if "://" in dataset_path:
												_snake_case						:					Tuple    =   dataset_path.split("://"						)[1]
						return dataset_path
def  snake_case						(__lowercase						)	->	bool:

						'''simple docstring'''



						if fs is not None and fs.protocol != "file":
												return True
						else:
												return False
def  snake_case						(__lowercase ,      __lowercase ,      __lowercase						)	->	str:

						'''simple docstring'''



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

def  snake_case						()	->	None:

						'''simple docstring'''



						if hasattr(fsspec.asyn ,      "reset_lock"						):
												# for future fsspec>2022.05.0
												fsspec.asyn.reset_lock()
						else:
												_snake_case						:					List[str]    =   None
												_snake_case						:					str    =   None
												_snake_case						:					List[Any]    =   threading.Lock()