



import asyncio
import os
import shutil
import subprocess
import sys
import tempfile
import unittest
from distutils.util import strtobool
from functools import partial
from pathlib import Path
from typing import List, Union
from unittest import mock

import torch

from ..state import AcceleratorState, PartialState
from ..utils import (
    gather,
    is_bnb_available,
    is_comet_ml_available,
    is_datasets_available,
    is_deepspeed_available,
    is_mps_available,
    is_safetensors_available,
    is_tensorboard_available,
    is_torch_version,
    is_tpu_available,
    is_transformers_available,
    is_wandb_available,
    is_xpu_available,
)

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:str	,   _snake_case	:Dict=False				)  ->     Dict:
   try:
      _A      =       os.environ[key]
   except KeyError:
      # KEY isn't set, default to `default`.
      _A      =       default
   else:
      # KEY is set, convert it to True or False.
      try:
         _A      =       strtobool(_snake_case				)
      except ValueError:
         # More values are supported, but let's keep the message simple.
         raise ValueError(F'''If set, {key} must be yes or no.'''				)
   return _value


UpperCAmelCase_		 =					parse_flag_from_env("""RUN_SLOW""", default=False)

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:Dict				)  ->     str:
   return unittest.skip('''Test was skipped'''				)(_snake_case				)

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:Union[str, Any]				)  ->     Union[str, Any]:
   return unittest.skipUnless(_run_slow_tests	,   '''test is slow'''				)(_snake_case				)

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:Optional[int]				)  ->     Tuple:
   return unittest.skipUnless(not torch.cuda.is_available()	,   '''test requires only a CPU'''				)(_snake_case				)

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:Tuple				)  ->     List[str]:
   return unittest.skipUnless(torch.cuda.is_available()	,   '''test requires a GPU'''				)(_snake_case				)

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:Tuple				)  ->     Tuple:
   return unittest.skipUnless(is_xpu_available()	,   '''test requires a XPU'''				)(_snake_case				)

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:Union[str, Any]				)  ->     Optional[Any]:
   return unittest.skipUnless(is_mps_available()	,   '''test requires a `mps` backend support in `torch`'''				)(_snake_case				)

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:Any				)  ->     Optional[Any]:
   return unittest.skipUnless(
       is_transformers_available() and is_datasets_available()	,   '''test requires the Hugging Face suite'''				)(_snake_case				)

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:str				)  ->     Union[str, Any]:
   return unittest.skipUnless(is_bnb_available()	,   '''test requires the bitsandbytes library'''				)(_snake_case				)

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:List[str]				)  ->     Union[str, Any]:
   return unittest.skipUnless(is_tpu_available()	,   '''test requires TPU'''				)(_snake_case				)

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:Tuple				)  ->     Any:
   return unittest.skipUnless(torch.cuda.device_count() == 1	,   '''test requires a GPU'''				)(_snake_case				)

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:Tuple				)  ->     Optional[Any]:
   return unittest.skipUnless(torch.xpu.device_count() == 1	,   '''test requires a XPU'''				)(_snake_case				)

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:Any				)  ->     List[Any]:
   return unittest.skipUnless(torch.cuda.device_count() > 1	,   '''test requires multiple GPUs'''				)(_snake_case				)

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:List[str]				)  ->     Optional[Any]:
   return unittest.skipUnless(torch.xpu.device_count() > 1	,   '''test requires multiple XPUs'''				)(_snake_case				)

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:Tuple				)  ->     Dict:
   return unittest.skipUnless(is_safetensors_available()	,   '''test requires safetensors'''				)(_snake_case				)

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:List[str]				)  ->     str:
   return unittest.skipUnless(is_deepspeed_available()	,   '''test requires DeepSpeed'''				)(_snake_case				)

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:int				)  ->     Union[str, Any]:
   return unittest.skipUnless(is_torch_version('''>='''	,   '''1.12.0'''				)	,   '''test requires torch version >= 1.12.0'''				)(_snake_case				)

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:Union[str, Any]=None	,   _snake_case	:Optional[Any]=None				)  ->     Any:
   if test_case is None:
      return partial(_snake_case	,   version=_snake_case				)
   return unittest.skipUnless(is_torch_version('''>='''	,   _snake_case				)	,   F'''test requires torch version >= {version}'''				)(_snake_case				)

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:Optional[int]				)  ->     Dict:
   return unittest.skipUnless(is_tensorboard_available()	,   '''test requires Tensorboard'''				)(_snake_case				)

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:Tuple				)  ->     Optional[Any]:
   return unittest.skipUnless(is_wandb_available()	,   '''test requires wandb'''				)(_snake_case				)

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:Tuple				)  ->     List[Any]:
   return unittest.skipUnless(is_comet_ml_available()	,   '''test requires comet_ml'''				)(_snake_case				)


UpperCAmelCase_		 =					(
    any([is_wandb_available(), is_tensorboard_available()]) and not is_comet_ml_available()
)

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:Union[str, Any]				)  ->     List[Any]:
   return unittest.skipUnless(
       _atleast_one_tracker_available	,   '''test requires at least one tracker to be available and for `comet_ml` to not be installed'''	,   )(_snake_case				)


class 	lowerCamelCase__	(       unittest.TestCase):



 """simple docstring"""

 a__					: Dict =  True

 @classmethod
 def     snake_case_      (    cls					:					str      )   ->	Any:
    _A      =       tempfile.mkdtemp()

 @classmethod
 def     snake_case_      (    cls					:					Dict      )   ->	int:
    if os.path.exists(cls.tmpdir      ):
       shutil.rmtree(cls.tmpdir      )

 def     snake_case_      (    self					:					str      )   ->	Optional[Any]:
    if self.clear_on_setup:
       for path in Path(self.tmpdir      ).glob('''**/*'''      ):
          if path.is_file():
             path.unlink()
          elif path.is_dir():
             shutil.rmtree(__lowerCAmelCase      )


class 	lowerCamelCase__	(       unittest.TestCase):



 """simple docstring"""

 def     snake_case_      (    self					:					Union[str, Any]      )   ->	str:
    super().tearDown()
    # Reset the state of the AcceleratorState singleton.
    AcceleratorState._reset_state()
    PartialState._reset_state()


class 	lowerCamelCase__	(       unittest.TestCase):



 """simple docstring"""

 def     snake_case_      (    self					:					Union[str, Any]			,						__lowerCAmelCase					:					Union[mock.Mock, List[mock.Mock]]      )   ->	List[str]:
    _A      =       mocks if isinstance(__lowerCAmelCase			,						(tuple, list)      ) else [mocks]
    for m in self.mocks:
       m.start()
       self.addCleanup(m.stop      )

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:int				)  ->     Optional[int]:
   _A      =       AcceleratorState()
   _A      =       tensor[None].clone().to(state.device				)
   _A      =       gather(_snake_case				).cpu()
   _A      =       tensor[0].cpu()
   for i in range(tensors.shape[0]				):
      if not torch.equal(tensors[i]	,   _snake_case				):
         return False
   return True


class 	lowerCamelCase__	:



 """simple docstring"""

 def __init__(    self					:					List[str]			,						__lowerCAmelCase					:					Tuple			,						__lowerCAmelCase					:					str			,						__lowerCAmelCase					:					int      )   ->	Any:
    _A      =       returncode
    _A      =       stdout
    _A      =       stderr

async def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:Union[str, Any]	,   _snake_case	:Any				)  ->     Any:
   while True:
      _A      =       await stream.readline()
      if line:
         callback(_snake_case				)
      else:
         break

async def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:List[str]	,   _snake_case	:Dict=None	,   _snake_case	:Optional[Any]=None	,   _snake_case	:Tuple=None	,   _snake_case	:Optional[int]=False	,   _snake_case	:Optional[Any]=False				)  ->     _RunOutput:
   if echo:
      print('''\nRunning: '''	,   ''' '''.join(_snake_case				)				)

   _A      =       await asyncio.create_subprocess_exec(
       cmd[0]	,   *cmd[1:]	,   stdin=_snake_case	,   stdout=asyncio.subprocess.PIPE	,   stderr=asyncio.subprocess.PIPE	,   env=_snake_case	,   )

   # note: there is a warning for a possible deadlock when using `wait` with huge amounts of data in the pipe
   # https://docs.python.org/3/library/asyncio-subprocess.html#asyncio.asyncio.subprocess.Process.wait
   #
   # If it starts hanging, will need to switch to the following code. The problem is that no data
   # will be seen until it's done and if it hangs for example there will be no debug info.
   # out, err = await p.communicate()
   # return _RunOutput(p.returncode, out, err)

   _A      =       []
   _A      =       []

   def tee(_snake_case	:Dict	,   _snake_case	:int	,   _snake_case	:Union[str, Any]	,   _snake_case	:Optional[Any]=""				):
      _A      =       line.decode('''utf-8'''				).rstrip()
      sink.append(_snake_case				)
      if not quiet:
         print(_snake_case	,   _snake_case	,   file=_snake_case				)

    # XXX: the timeout doesn't seem to make any difference here
   await asyncio.wait(
       [
           asyncio.create_task(_read_stream(p.stdout	,   lambda _snake_case				: tee(_snake_case	,   _snake_case	,   sys.stdout	,   label='''stdout:'''				)				)				),
           asyncio.create_task(_read_stream(p.stderr	,   lambda _snake_case				: tee(_snake_case	,   _snake_case	,   sys.stderr	,   label='''stderr:'''				)				)				),
       ]	,   timeout=_snake_case	,   )
   return _RunOutput(await p.wait()	,   _snake_case	,   _snake_case				)

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:int	,   _snake_case	:int=None	,   _snake_case	:Tuple=None	,   _snake_case	:Union[str, Any]=180	,   _snake_case	:str=False	,   _snake_case	:Dict=True				)  ->     _RunOutput:
   _A      =       asyncio.get_event_loop()
   _A      =       loop.run_until_complete(
       _stream_subprocess(_snake_case	,   env=_snake_case	,   stdin=_snake_case	,   timeout=_snake_case	,   quiet=_snake_case	,   echo=_snake_case				)				)

   _A      =       ''' '''.join(_snake_case				)
   if result.returncode > 0:
      _A      =       '''\n'''.join(result.stderr				)
      raise RuntimeError(
          F'''\'{cmd_str}\' failed with returncode {result.returncode}\n\n'''
          F'''The combined stderr from workers follows:\n{stderr}'''				)

   return result


class 	lowerCamelCase__	(       _A):



 """simple docstring"""

 pass

def 	SCREAMING_SNAKE_CASE_							(	_snake_case	:List[str]	,   _snake_case	:List[str]=False				)  ->     List[Any]:
   try:
      _A      =       subprocess.check_output(_snake_case	,   stderr=subprocess.STDOUT				)
      if return_stdout:
         if hasattr(_snake_case	,   '''decode'''				):
            _A      =       output.decode('''utf-8'''				)
         return output
   except subprocess.CalledProcessError as e:
      raise SubprocessCallException(
          F'''Command `{' '.join(_snake_case				)}` failed with the following error:\n\n{e.output.decode()}'''				) from e








from .configuration_bert_masked import MaskedBertConfig
from .modeling_bert_masked import (
    MaskedBertForMultipleChoice,
    MaskedBertForQuestionAnswering,
    MaskedBertForSequenceClassification,
    MaskedBertForTokenClassification,
    MaskedBertModel,
)
from .modules import *



