import math

import tensorflow as tf
from packaging import version
def  snake_case						(__lowercase						)	->	Dict:

      '''simple docstring'''



      _snake_case						:					Tuple    =   tf.convert_to_tensor(lowercase__						)
      _snake_case						:					Dict    =   0.5 * (1.0 + tf.math.erf(x / tf.cast(tf.sqrt(2.0						) ,      x.dtype						)						))

      return x * cdf
def  snake_case						(__lowercase						)	->	int:

      '''simple docstring'''



      _snake_case						:					Dict    =   tf.convert_to_tensor(lowercase__						)
      _snake_case						:					str    =   tf.cast(math.pi ,      x.dtype						)
      _snake_case						:					List[Any]    =   tf.cast(0.044715 ,      x.dtype						)
      _snake_case						:					Union[str, Any]    =   0.5 * (1.0 + tf.tanh(tf.sqrt(2.0 / pi						) * (x + coeff * tf.pow(lowercase__ ,      3						))						))

      return x * cdf
def  snake_case						(__lowercase						)	->	str:

      '''simple docstring'''



      _snake_case						:					List[Any]    =   tf.convert_to_tensor(lowercase__						)

      return x * tf.tanh(tf.math.softplus(lowercase__						)						)
def  snake_case						(__lowercase						)	->	Optional[Any]:

      '''simple docstring'''



      _snake_case						:					List[Any]    =   tf.convert_to_tensor(lowercase__						)
      _snake_case						:					Union[str, Any]    =   tf.cast(0.044715 ,      x.dtype						)
      _snake_case						:					List[Any]    =   tf.cast(0.7978845608 ,      x.dtype						)

      return 0.5 * x * (1.0 + tf.tanh(x * coeffa * (1.0 + coeffa * x * x)						))
def  snake_case						(__lowercase						)	->	List[str]:

      '''simple docstring'''



      _snake_case						:					Tuple    =   tf.convert_to_tensor(lowercase__						)
      _snake_case						:					List[str]    =   tf.cast(1.702 ,      x.dtype						)
      return x * tf.math.sigmoid(coeff * x						)
def  snake_case						(__lowercase						)	->	Optional[int]:

      '''simple docstring'''



      return tf.clip_by_value(_gelu(lowercase__						) ,      -10 ,      10						)
def  snake_case						(__lowercase ,      __lowercase=-1						)	->	str:

      '''simple docstring'''



      _snake_case						:					Any    =   tf.split(lowercase__ ,      2 ,      axis=lowercase__						)
      return a * tf.math.sigmoid(lowercase__						)


if version.parse(tf.version.VERSION) >= version.parse('2.4'):
    def  snake_case						(__lowercase						)	->	List[Any]:

          '''simple docstring'''



          return tf.keras.activations.gelu(lowercase__ ,      approximate=lowercase__						)

    __SCREAMING_SNAKE_CASE						:   Union[str, Any]         =			tf.keras.activations.gelu

    __SCREAMING_SNAKE_CASE						:   str         =			approximate_gelu_wrap
else:
    __SCREAMING_SNAKE_CASE						:   int         =			_gelu
    __SCREAMING_SNAKE_CASE						:   Union[str, Any]         =			_gelu_new


__SCREAMING_SNAKE_CASE						:   List[Any]         =			{
    'gelu': gelu,
    'gelu_10': gelu_aa,
    'gelu_fast': gelu_fast,
    'gelu_new': gelu_new,
    'glu': glu,
    'mish': mish,
    'quick_gelu': quick_gelu,
    'relu': tf.keras.activations.relu,
    'sigmoid': tf.keras.activations.sigmoid,
    'silu': tf.keras.activations.swish,
    'swish': tf.keras.activations.swish,
    'tanh': tf.keras.activations.tanh,
}

def  snake_case						(__lowercase						)	->	Dict:

      '''simple docstring'''



      if activation_string in ACTaFN:
            return ACTaFN[activation_string]
      else:
            raise KeyError(F"""function {activation_string} not found in ACT2FN mapping {list(ACTaFN.keys()						)}"""						)
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()