'''simple docstring'''

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

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

A_     :						List[str]    							=[
    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_      (					__snake_case  :							Union[str, Any])			->					str:
   if "://" in dataset_path:
      lowerCAmelCase_			=      dataset_path.split('''://''')[1]
   return dataset_path



def snake_case_      (					__snake_case  :							int)			->					bool:
   if fs is not None and fs.protocol != "file":
      return True
   else:
      return False



def snake_case_      (					__snake_case  :							Dict	,   __snake_case  :							List[Any]	,   __snake_case  :							str)			->					Optional[Any]:
   lowerCAmelCase_			=      not is_remote_filesystem(SCREAMING_SNAKE_CASE_)
   if is_local:
      # LocalFileSystem.mv does copy + rm, it is more efficient to simply move a local directory
      shutil.move(fs._strip_protocol(SCREAMING_SNAKE_CASE_)	,   fs._strip_protocol(SCREAMING_SNAKE_CASE_))
   else:
      fs.mv(SCREAMING_SNAKE_CASE_	,   SCREAMING_SNAKE_CASE_	,   recursive=SCREAMING_SNAKE_CASE_)






def snake_case_      (					)			->					None:
   if hasattr(fsspec.asyn	,   '''reset_lock'''):
      # for future fsspec>2022.05.0
      fsspec.asyn.reset_lock()
   else:
      lowerCAmelCase_			=      None
      lowerCAmelCase_			=      None
      lowerCAmelCase_			=      threading.Lock()











'''simple docstring'''
import os
import sys

_SCREAMING_SNAKE_CASE			=						os.path.join(os.path.dirname(__file__), "src")
sys.path.append(SRC_DIR)


from transformers import (
    AutoConfig,
    AutoModel,
    AutoModelForCausalLM,
    AutoModelForMaskedLM,
    AutoModelForQuestionAnswering,
    AutoModelForSequenceClassification,
    AutoTokenizer,
    add_start_docstrings,
)


_SCREAMING_SNAKE_CASE			=						[
    "torch",
    "numpy",
    "tokenizers",
    "filelock",
    "requests",
    "tqdm",
    "regex",
    "sentencepiece",
    "sacremoses",
    "importlib_metadata",
    "huggingface_hub",
]





@add_start_docstrings(AutoConfig.__doc__     )
def 			lowerCamelCase(							*SCREAMING_SNAKE_CASE_       ,**SCREAMING_SNAKE_CASE_     )		->		int:
			return AutoConfig.from_pretrained(*SCREAMING_SNAKE_CASE_       ,**SCREAMING_SNAKE_CASE_     )





@add_start_docstrings(AutoTokenizer.__doc__     )
def 			lowerCamelCase(							*SCREAMING_SNAKE_CASE_       ,**SCREAMING_SNAKE_CASE_     )		->		List[str]:
			return AutoTokenizer.from_pretrained(*SCREAMING_SNAKE_CASE_       ,**SCREAMING_SNAKE_CASE_     )





@add_start_docstrings(AutoModel.__doc__     )
def 			lowerCamelCase(							*SCREAMING_SNAKE_CASE_       ,**SCREAMING_SNAKE_CASE_     )		->		Union[str, Any]:
			return AutoModel.from_pretrained(*SCREAMING_SNAKE_CASE_       ,**SCREAMING_SNAKE_CASE_     )





@add_start_docstrings(AutoModelForCausalLM.__doc__     )
def 			lowerCamelCase(							*SCREAMING_SNAKE_CASE_       ,**SCREAMING_SNAKE_CASE_     )		->		Optional[int]:
			return AutoModelForCausalLM.from_pretrained(*SCREAMING_SNAKE_CASE_       ,**SCREAMING_SNAKE_CASE_     )





@add_start_docstrings(AutoModelForMaskedLM.__doc__     )
def 			lowerCamelCase(							*SCREAMING_SNAKE_CASE_       ,**SCREAMING_SNAKE_CASE_     )		->		Dict:
			return AutoModelForMaskedLM.from_pretrained(*SCREAMING_SNAKE_CASE_       ,**SCREAMING_SNAKE_CASE_     )





@add_start_docstrings(AutoModelForSequenceClassification.__doc__     )
def 			lowerCamelCase(							*SCREAMING_SNAKE_CASE_       ,**SCREAMING_SNAKE_CASE_     )		->		Union[str, Any]:
			return AutoModelForSequenceClassification.from_pretrained(*SCREAMING_SNAKE_CASE_       ,**SCREAMING_SNAKE_CASE_     )






@add_start_docstrings(AutoModelForQuestionAnswering.__doc__     )
def 			lowerCamelCase(							*SCREAMING_SNAKE_CASE_       ,**SCREAMING_SNAKE_CASE_     )		->		str:
			return AutoModelForQuestionAnswering.from_pretrained(*SCREAMING_SNAKE_CASE_       ,**SCREAMING_SNAKE_CASE_     )




