



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 __lowerCAmelCase (     SCREAMING_SNAKE_CASE_						,  SCREAMING_SNAKE_CASE_=False  ):
			try:
						lowercase__					  =				os.environ[key]
			except KeyError:
						# KEY isn't set, default to `default`.
						lowercase__					  =				default
			else:
						# KEY is set, convert it to True or False.
						try:
									lowercase__					  =				strtobool(SCREAMING_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


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



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_  ):
			return unittest.skip("Test was skipped"  )(SCREAMING_SNAKE_CASE_  )



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_  ):
			return unittest.skipUnless(_run_slow_tests						,  "test is slow"  )(SCREAMING_SNAKE_CASE_  )



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_  ):
			return unittest.skipUnless(not torch.cuda.is_available()						,  "test requires only a CPU"  )(SCREAMING_SNAKE_CASE_  )



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_  ):
			return unittest.skipUnless(torch.cuda.is_available()						,  "test requires a GPU"  )(SCREAMING_SNAKE_CASE_  )



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_  ):
			return unittest.skipUnless(is_xpu_available()						,  "test requires a XPU"  )(SCREAMING_SNAKE_CASE_  )



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_  ):
			return unittest.skipUnless(is_mps_available()						,  "test requires a `mps` backend support in `torch`"  )(SCREAMING_SNAKE_CASE_  )



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_  ):
			return unittest.skipUnless(
			    is_transformers_available() and is_datasets_available()						,  "test requires the Hugging Face suite"  )(SCREAMING_SNAKE_CASE_  )



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_  ):
			return unittest.skipUnless(is_bnb_available()						,  "test requires the bitsandbytes library"  )(SCREAMING_SNAKE_CASE_  )



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_  ):
			return unittest.skipUnless(is_tpu_available()						,  "test requires TPU"  )(SCREAMING_SNAKE_CASE_  )



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_  ):
			return unittest.skipUnless(torch.cuda.device_count() == 1						,  "test requires a GPU"  )(SCREAMING_SNAKE_CASE_  )



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_  ):
			return unittest.skipUnless(torch.xpu.device_count() == 1						,  "test requires a XPU"  )(SCREAMING_SNAKE_CASE_  )



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_  ):
			return unittest.skipUnless(torch.cuda.device_count() > 1						,  "test requires multiple GPUs"  )(SCREAMING_SNAKE_CASE_  )



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_  ):
			return unittest.skipUnless(torch.xpu.device_count() > 1						,  "test requires multiple XPUs"  )(SCREAMING_SNAKE_CASE_  )



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_  ):
			return unittest.skipUnless(is_safetensors_available()						,  "test requires safetensors"  )(SCREAMING_SNAKE_CASE_  )



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_  ):
			return unittest.skipUnless(is_deepspeed_available()						,  "test requires DeepSpeed"  )(SCREAMING_SNAKE_CASE_  )



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_  ):
			return unittest.skipUnless(is_torch_version(">="						,  "1.12.0"  )						,  "test requires torch version >= 1.12.0"  )(SCREAMING_SNAKE_CASE_  )



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_=None						,  SCREAMING_SNAKE_CASE_=None  ):
			if test_case is None:
						return partial(SCREAMING_SNAKE_CASE_						,  version=SCREAMING_SNAKE_CASE_  )
			return unittest.skipUnless(is_torch_version(">="						,  SCREAMING_SNAKE_CASE_  )						,  f'''test requires torch version >= {version}'''  )(SCREAMING_SNAKE_CASE_  )



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_  ):
			return unittest.skipUnless(is_tensorboard_available()						,  "test requires Tensorboard"  )(SCREAMING_SNAKE_CASE_  )



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_  ):
			return unittest.skipUnless(is_wandb_available()						,  "test requires wandb"  )(SCREAMING_SNAKE_CASE_  )



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_  ):
			return unittest.skipUnless(is_comet_ml_available()						,  "test requires comet_ml"  )(SCREAMING_SNAKE_CASE_  )


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



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_  ):
			return unittest.skipUnless(
			    _atleast_one_tracker_available						,  "test requires at least one tracker to be available and for `comet_ml` to not be installed"						,  )(SCREAMING_SNAKE_CASE_  )
class 				_snake_case			(					unittest.TestCase):
				UpperCamelCase__				:					Union[str, Any]     		=True




				@classmethod
				def 							A__      (						cls					:						List[Any]						):
							lowercase__					  =				tempfile.mkdtemp()




				@classmethod
				def 							A__      (						cls					:						int						):
							if os.path.exists(cls.tmpdir						):
										shutil.rmtree(cls.tmpdir						)




				def 							A__      (						self					:						Optional[int]						):
							if self.clear_on_setup:
										for path in Path(self.tmpdir						).glob("**/*"						):
													if path.is_file():
																path.unlink()
													elif path.is_dir():
																shutil.rmtree(__lowercase						)
class 				_snake_case			(					unittest.TestCase):




				def 							A__      (						self					:						Optional[int]						):
							super().tearDown()
							# Reset the state of the AcceleratorState singleton.
							AcceleratorState._reset_state()
							PartialState._reset_state()
class 				_snake_case			(					unittest.TestCase):




				def 							A__      (						self					:						List[str],					__lowercase					:						Union[mock.Mock, List[mock.Mock]]						):
							lowercase__					  =				mocks if isinstance(__lowercase,					(tuple, list)						) else [mocks]
							for m in self.mocks:
										m.start()
										self.addCleanup(m.stop						)



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




				def __init__(						self					:						Tuple,					__lowercase					:						str,					__lowercase					:						List[Any],					__lowercase					:						List[str]						):
							lowercase__					  =				returncode
							lowercase__					  =				stdout
							lowercase__					  =				stderr



async def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_						,  SCREAMING_SNAKE_CASE_  ):
			while True:
						lowercase__					  =				await stream.readline()
						if line:
									callback(SCREAMING_SNAKE_CASE_  )
						else:
									break



async def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_						,  SCREAMING_SNAKE_CASE_=None						,  SCREAMING_SNAKE_CASE_=None						,  SCREAMING_SNAKE_CASE_=None						,  SCREAMING_SNAKE_CASE_=False						,  SCREAMING_SNAKE_CASE_=False  ):
			if echo:
						print("\nRunning: "						,  " ".join(SCREAMING_SNAKE_CASE_  )  )

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

			lowercase__					  =				[]
			lowercase__					  =				[]

			def tee(SCREAMING_SNAKE_CASE_						,  SCREAMING_SNAKE_CASE_						,  SCREAMING_SNAKE_CASE_						,  SCREAMING_SNAKE_CASE_=""  ):
						lowercase__					  =				line.decode("utf-8"  ).rstrip()
						sink.append(SCREAMING_SNAKE_CASE_  )
						if not quiet:
									print(SCREAMING_SNAKE_CASE_						,  SCREAMING_SNAKE_CASE_						,  file=SCREAMING_SNAKE_CASE_  )

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



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_						,  SCREAMING_SNAKE_CASE_=None						,  SCREAMING_SNAKE_CASE_=None						,  SCREAMING_SNAKE_CASE_=180						,  SCREAMING_SNAKE_CASE_=False						,  SCREAMING_SNAKE_CASE_=True  ):
			lowercase__					  =				asyncio.get_event_loop()
			lowercase__					  =				loop.run_until_complete(
			    _stream_subprocess(SCREAMING_SNAKE_CASE_						,  env=SCREAMING_SNAKE_CASE_						,  stdin=SCREAMING_SNAKE_CASE_						,  timeout=SCREAMING_SNAKE_CASE_						,  quiet=SCREAMING_SNAKE_CASE_						,  echo=SCREAMING_SNAKE_CASE_  )  )

			lowercase__					  =				" ".join(SCREAMING_SNAKE_CASE_  )
			if result.returncode > 0:
						lowercase__					  =				"\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 				_snake_case			(					lowercase__):
				pass



def __lowerCAmelCase (     SCREAMING_SNAKE_CASE_						,  SCREAMING_SNAKE_CASE_=False  ):
			try:
						lowercase__					  =				subprocess.check_output(SCREAMING_SNAKE_CASE_						,  stderr=subprocess.STDOUT  )
						if return_stdout:
									if hasattr(SCREAMING_SNAKE_CASE_						,  "decode"  ):
												lowercase__					  =				output.decode("utf-8"  )
									return output
			except subprocess.CalledProcessError as e:
						raise SubprocessCallException(
						    f'''Command `{" ".join(SCREAMING_SNAKE_CASE_  )}` failed with the following error:\n\n{e.output.decode()}'''  ) from e









from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase_								=     {
    """configuration_timesformer""": ["""TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""", """TimesformerConfig"""],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowercase_								=     [
							    """TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """TimesformerModel""",
							    """TimesformerForVideoClassification""",
							    """TimesformerPreTrainedModel""",
							]

if TYPE_CHECKING:
							from .configuration_timesformer import TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, TimesformerConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_timesformer import (
														    TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
														    TimesformerForVideoClassification,
														    TimesformerModel,
														    TimesformerPreTrainedModel,
														)

else:
							import sys

							lowercase_								=     _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




