





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 					A__	(       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_=False		)   ->     Any:
		try:
				lowerCamelCase   : List[str]								=os.environ[key]
		except KeyError:
				# KEY isn't set, default to `default`.
				lowerCamelCase   : str								=default
		else:
				# KEY is set, convert it to True or False.
				try:
						lowerCamelCase   : Optional[int]								=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


snake_case_							=			parse_flag_from_env('''RUN_SLOW''', default=False)


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


def 					A__	(       SCREAMING_SNAKE_CASE_		)   ->     Dict:
		return unittest.skipUnless(_run_slow_tests							,       '''test is slow'''		)(SCREAMING_SNAKE_CASE_		)


def 					A__	(       SCREAMING_SNAKE_CASE_		)   ->     str:
		return unittest.skipUnless(not torch.cuda.is_available()							,       '''test requires only a CPU'''		)(SCREAMING_SNAKE_CASE_		)


def 					A__	(       SCREAMING_SNAKE_CASE_		)   ->     Optional[int]:
		return unittest.skipUnless(torch.cuda.is_available()							,       '''test requires a GPU'''		)(SCREAMING_SNAKE_CASE_		)


def 					A__	(       SCREAMING_SNAKE_CASE_		)   ->     Optional[Any]:
		return unittest.skipUnless(is_xpu_available()							,       '''test requires a XPU'''		)(SCREAMING_SNAKE_CASE_		)


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


def 					A__	(       SCREAMING_SNAKE_CASE_		)   ->     str:
		return unittest.skipUnless(
		    is_transformers_available() and is_datasets_available()							,       '''test requires the Hugging Face suite'''		)(SCREAMING_SNAKE_CASE_		)


def 					A__	(       SCREAMING_SNAKE_CASE_		)   ->     Dict:
		return unittest.skipUnless(is_bnb_available()							,       '''test requires the bitsandbytes library'''		)(SCREAMING_SNAKE_CASE_		)


def 					A__	(       SCREAMING_SNAKE_CASE_		)   ->     Optional[int]:
		return unittest.skipUnless(is_tpu_available()							,       '''test requires TPU'''		)(SCREAMING_SNAKE_CASE_		)


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


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


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


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


def 					A__	(       SCREAMING_SNAKE_CASE_		)   ->     List[Any]:
		return unittest.skipUnless(is_safetensors_available()							,       '''test requires safetensors'''		)(SCREAMING_SNAKE_CASE_		)


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


def 					A__	(       SCREAMING_SNAKE_CASE_		)   ->     Tuple:
		return unittest.skipUnless(is_torch_version('''>='''							,       '''1.12.0'''		)							,       '''test requires torch version >= 1.12.0'''		)(SCREAMING_SNAKE_CASE_		)


def 					A__	(       SCREAMING_SNAKE_CASE_=None							,       SCREAMING_SNAKE_CASE_=None		)   ->     List[Any]:
		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 					A__	(       SCREAMING_SNAKE_CASE_		)   ->     Optional[int]:
		return unittest.skipUnless(is_tensorboard_available()							,       '''test requires Tensorboard'''		)(SCREAMING_SNAKE_CASE_		)


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


def 					A__	(       SCREAMING_SNAKE_CASE_		)   ->     Optional[int]:
		return unittest.skipUnless(is_comet_ml_available()							,       '''test requires comet_ml'''		)(SCREAMING_SNAKE_CASE_		)


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


def 					A__	(       SCREAMING_SNAKE_CASE_		)   ->     Tuple:
		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):
		lowerCamelCase    :Any						=     True







		@classmethod
		def 			__lowercase   (		cls   )				->   Optional[Any]:
				lowerCamelCase   : str								=tempfile.mkdtemp()







		@classmethod
		def 			__lowercase   (		cls   )				->   Tuple:
				if os.path.exists(cls.tmpdir   ):
						shutil.rmtree(cls.tmpdir   )







		def 			__lowercase   (		self   )				->   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(__lowercase   )

class        snake_case_		(			unittest.TestCase):







		def 			__lowercase   (		self   )				->   Dict:
				super().tearDown()
				# Reset the state of the AcceleratorState singleton.
				AcceleratorState._reset_state()
				PartialState._reset_state()

class        snake_case_		(			unittest.TestCase):







		def 			__lowercase   (		self			,     __lowercase   )				->   Union[str, Any]:
				lowerCamelCase   : Any								=mocks if isinstance(__lowercase			,     (tuple, list)   ) else [mocks]
				for m in self.mocks:
						m.start()
						self.addCleanup(m.stop   )


def 					A__	(       SCREAMING_SNAKE_CASE_		)   ->     Union[str, Any]:
		lowerCamelCase   : str								=AcceleratorState()
		lowerCamelCase   : Optional[Any]								=tensor[None].clone().to(state.device		)
		lowerCamelCase   : int								=gather(SCREAMING_SNAKE_CASE_		).cpu()
		lowerCamelCase   : Dict								=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			,     __lowercase			,     __lowercase			,     __lowercase   )				->   Dict:
				lowerCamelCase   : Optional[Any]								=returncode
				lowerCamelCase   : Dict								=stdout
				lowerCamelCase   : int								=stderr


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


async def 					A__	(       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_=None							,       SCREAMING_SNAKE_CASE_=None							,       SCREAMING_SNAKE_CASE_=None							,       SCREAMING_SNAKE_CASE_=False							,       SCREAMING_SNAKE_CASE_=False		)   ->     _RunOutput:
		if echo:
				print('''\nRunning: '''							,       ''' '''.join(SCREAMING_SNAKE_CASE_		)		)

		lowerCamelCase   : Dict								=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)

		lowerCamelCase   : List[str]								=[]
		lowerCamelCase   : List[str]								=[]

		def tee(SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_=""		):
				lowerCamelCase   : int								=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 					A__	(       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_=None							,       SCREAMING_SNAKE_CASE_=None							,       SCREAMING_SNAKE_CASE_=1_8_0							,       SCREAMING_SNAKE_CASE_=False							,       SCREAMING_SNAKE_CASE_=True		)   ->     _RunOutput:
		lowerCamelCase   : Dict								=asyncio.get_event_loop()
		lowerCamelCase   : int								=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_		)		)

		lowerCamelCase   : List[str]								=''' '''.join(SCREAMING_SNAKE_CASE_		)
		if result.returncode > 0:
				lowerCamelCase   : Dict								='''\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_		(			_A):
		pass


def 					A__	(       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_=False		)   ->     str:
		try:
				lowerCamelCase   : Optional[Any]								=subprocess.check_output(SCREAMING_SNAKE_CASE_							,       stderr=subprocess.STDOUT		)
				if return_stdout:
						if hasattr(SCREAMING_SNAKE_CASE_							,       '''decode'''		):
								lowerCamelCase   : Optional[Any]								=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_tf_available, is_torch_available


snake_case_							=			{'''configuration_swin''': ['''SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''SwinConfig''', '''SwinOnnxConfig''']}


try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				snake_case_							=			[
				    '''SWIN_PRETRAINED_MODEL_ARCHIVE_LIST''',
				    '''SwinForImageClassification''',
				    '''SwinForMaskedImageModeling''',
				    '''SwinModel''',
				    '''SwinPreTrainedModel''',
				    '''SwinBackbone''',
				]

try:
				if not is_tf_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				snake_case_							=			[
				    '''TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST''',
				    '''TFSwinForImageClassification''',
				    '''TFSwinForMaskedImageModeling''',
				    '''TFSwinModel''',
				    '''TFSwinPreTrainedModel''',
				]

if TYPE_CHECKING:
				from .configuration_swin import SWIN_PRETRAINED_CONFIG_ARCHIVE_MAP, SwinConfig, SwinOnnxConfig

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_swin import (
								    SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
								    SwinBackbone,
								    SwinForImageClassification,
								    SwinForMaskedImageModeling,
								    SwinModel,
								    SwinPreTrainedModel,
								)

				try:
								if not is_tf_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_tf_swin import (
								    TF_SWIN_PRETRAINED_MODEL_ARCHIVE_LIST,
								    TFSwinForImageClassification,
								    TFSwinForMaskedImageModeling,
								    TFSwinModel,
								    TFSwinPreTrainedModel,
								)

else:
				import sys

				snake_case_							=			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)

