


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       _a			(				SCREAMING_SNAKE_CASE					):


		"""simple docstring"""




		return EnvironmentCommand()
def       _a			(				SCREAMING_SNAKE_CASE					):


		"""simple docstring"""




		return EnvironmentCommand(args.accelerate_config_file					)


class 	_a							(      UpperCamelCase__      ):

							@staticmethod
							def 				lowerCamelCase_			(							UpperCamelCase_:     ArgumentParser							)      ->       List[str]:





									"""simple docstring"""







									lowercase__						=				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:     Dict   ,						UpperCamelCase_:     Optional[Any]   ,						*UpperCamelCase_:     int							)      ->       None:





									"""simple docstring"""







									lowercase__						=				accelerate_config_file

							def 				lowerCamelCase_			(							self:     List[Any]							)      ->       List[Any]:





									"""simple docstring"""







									lowercase__						=				'''not installed'''
									if is_safetensors_available():
											import safetensors

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

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

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

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

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

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

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

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

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

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

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

									lowercase__						=				{
									    '''`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 				lowerCamelCase_			(							UpperCamelCase_:     List[Any]							)      ->       List[Any]:





									"""simple docstring"""







									return "\n".join([f'- {prop}: {val}' for prop, val in d.items()]							) + "\n"






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase	=							{
    'configuration_luke': ['LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'LukeConfig'],
    'tokenization_luke': ['LukeTokenizer'],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			lowerCAmelCase	=							[
			    'LUKE_PRETRAINED_MODEL_ARCHIVE_LIST',
			    'LukeForEntityClassification',
			    'LukeForEntityPairClassification',
			    'LukeForEntitySpanClassification',
			    'LukeForMultipleChoice',
			    'LukeForQuestionAnswering',
			    'LukeForSequenceClassification',
			    'LukeForTokenClassification',
			    'LukeForMaskedLM',
			    'LukeModel',
			    'LukePreTrainedModel',
			]


if TYPE_CHECKING:
			from .configuration_luke import LUKE_PRETRAINED_CONFIG_ARCHIVE_MAP, LukeConfig
			from .tokenization_luke import LukeTokenizer

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .modeling_luke import (
						    LUKE_PRETRAINED_MODEL_ARCHIVE_LIST,
						    LukeForEntityClassification,
						    LukeForEntityPairClassification,
						    LukeForEntitySpanClassification,
						    LukeForMaskedLM,
						    LukeForMultipleChoice,
						    LukeForQuestionAnswering,
						    LukeForSequenceClassification,
						    LukeForTokenClassification,
						    LukeModel,
						    LukePreTrainedModel,
						)

else:
			import sys

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


