





'''simple docstring'''




import importlib.util
import os
import platform
from argparse import ArgumentParser

import huggingface_hub

from .. import __version__ as version
from ..utils import (
    is_accelerate_available,
    is_flax_available,
    is_safetensors_available,
    is_tf_available,
    is_torch_available,
)
from . import BaseTransformersCLICommand




def 						__lowerCamelCase			(	UpperCAmelCase_							)   ->List[str]:
	return EnvironmentCommand()




def 						__lowerCamelCase			(	UpperCAmelCase_							)   ->Union[str, Any]:
	return EnvironmentCommand(args.accelerate_config_file							)







class 				__snake_case     (					__magic_name__							):





	@staticmethod
	def   _snake_case   (		UpperCamelCase_		)      ->		Union[str, Any]:
		snake_case__	       =   parser.add_parser('env'		)
		download_parser.set_defaults(func=UpperCamelCase_		)
		download_parser.add_argument(
		    '--accelerate-config_file'      ,       default=UpperCamelCase_      ,       help='The accelerate config file to use for the default values in the launching script.'      ,       )
		download_parser.set_defaults(func=UpperCamelCase_		)





	def __init__(		self      ,       UpperCamelCase_      ,       *UpperCamelCase_		)      ->		None:
		snake_case__	       =   accelerate_config_file





	def   _snake_case   (		self		)      ->		Union[str, Any]:
		snake_case__	       =   'not installed'
		if is_safetensors_available():
			import safetensors

			snake_case__	       =   safetensors.__version__
		elif importlib.util.find_spec('safetensors'		) is not None:
			import safetensors

			snake_case__	       =   F'''{safetensors.__version__} but is ignored because of PyTorch version too old.'''

		snake_case__	       =   'not installed'
		snake_case__	       =   snake_case__	       =   'not found'
		if is_accelerate_available():
			import accelerate
			from accelerate.commands.config import default_config_file, load_config_from_file

			snake_case__	       =   accelerate.__version__
			# Get the default from the config file.
			if self._accelerate_config_file is not None or os.path.isfile(UpperCamelCase_		):
				snake_case__	       =   load_config_from_file(self._accelerate_config_file		).to_dict()

			snake_case__	       =   (
			    '\n'.join([F'''\t- {prop}: {val}''' for prop, val in accelerate_config.items()]		)
			    if isinstance(UpperCamelCase_      ,       UpperCamelCase_		)
			    else F'''\t{accelerate_config}'''
			)

		snake_case__	       =   'not installed'
		snake_case__	       =   'NA'
		if is_torch_available():
			import torch

			snake_case__	       =   torch.__version__
			snake_case__	       =   torch.cuda.is_available()

		snake_case__	       =   'not installed'
		snake_case__	       =   'NA'
		if is_tf_available():
			import tensorflow as tf

			snake_case__	       =   tf.__version__
			try:
				# deprecated in v2.1
				snake_case__	       =   tf.test.is_gpu_available()
			except AttributeError:
				# returns list of devices, convert to bool
				snake_case__	       =   bool(tf.config.list_physical_devices('GPU'		)		)

		snake_case__	       =   'not installed'
		snake_case__	       =   'not installed'
		snake_case__	       =   'not installed'
		snake_case__	       =   'NA'
		if is_flax_available():
			import flax
			import jax
			import jaxlib

			snake_case__	       =   flax.__version__
			snake_case__	       =   jax.__version__
			snake_case__	       =   jaxlib.__version__
			snake_case__	       =   jax.lib.xla_bridge.get_backend().platform

		snake_case__	       =   {
		    '`transformers` version': version,
		    'Platform': platform.platform(),
		    'Python version': platform.python_version(),
		    'Huggingface_hub version': huggingface_hub.__version__,
		    'Safetensors version': F'''{safetensors_version}''',
		    'Accelerate version': F'''{accelerate_version}''',
		    'Accelerate config': F'''{accelerate_config_str}''',
		    'PyTorch version (GPU?)': F'''{pt_version} ({pt_cuda_available})''',
		    'Tensorflow version (GPU?)': F'''{tf_version} ({tf_cuda_available})''',
		    'Flax version (CPU?/GPU?/TPU?)': F'''{flax_version} ({jax_backend})''',
		    'Jax version': F'''{jax_version}''',
		    'JaxLib version': F'''{jaxlib_version}''',
		    'Using GPU in script?': '<fill in>',
		    'Using distributed or parallel set-up in script?': '<fill in>',
		}

		print('\nCopy-and-paste the text below in your GitHub issue and FILL OUT the two last points.\n'		)
		print(self.format_dict(UpperCamelCase_		)		)

		return info





	@staticmethod
	def   _snake_case   (		UpperCamelCase_		)      ->		Any:
		return "\n".join([F'''- {prop}: {val}''' for prop, val in d.items()]		) + "\n"










'''simple docstring'''




import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


a__					:			int          =     logging.get_logger(__name__)






class 				__snake_case     (					__magic_name__							):





	def __init__(		self      ,       *UpperCamelCase_      ,       **UpperCamelCase_		)      ->		None:
		warnings.warn(
		    'The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
		    ' Please use PerceiverImageProcessor instead.'      ,       UpperCamelCase_      ,       )
		super().__init__(*UpperCamelCase_      ,       **UpperCamelCase_		)



