


"""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		:      Optional[Any]							)		->       Union[str, Any]:

							'''simple docstring'''



							return EnvironmentCommand()
def      lowerCamelCase       (     _UpperCamelCase		:      Dict							)		->       Any:

							'''simple docstring'''



							return EnvironmentCommand(args.accelerate_config_file							)





class      lowerCamelCase__   (     A				):







					"""simple docstring"""


					@staticmethod
					def lowerCamelCase__							(       UpperCamelCase    : ArgumentParser  ):
												'''simple docstring'''






												__UpperCAmelCase   :						Dict      							=					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    : Union[str, Any] ,       UpperCamelCase    : Any ,       *UpperCamelCase    : Optional[Any]  ):
												'''simple docstring'''






												__UpperCAmelCase   :						Tuple      							=					accelerate_config_file






					def lowerCamelCase__							(       self    : Union[str, Any]  ):
												'''simple docstring'''






												__UpperCAmelCase   :						Optional[int]      							=					"""not installed"""
												if is_safetensors_available():
																			import safetensors

																			__UpperCAmelCase   :						List[Any]      							=					safetensors.__version__
												elif importlib.util.find_spec("""safetensors"""  ) is not None:
																			import safetensors

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

												__UpperCAmelCase   :						List[Any]      							=					"""not installed"""
												__UpperCAmelCase   :						Tuple      							=					"""not found"""
												if is_accelerate_available():
																			import accelerate
																			from accelerate.commands.config import default_config_file, load_config_from_file

																			__UpperCAmelCase   :						Optional[Any]      							=					accelerate.__version__
																			# Get the default from the config file.
																			if self._accelerate_config_file is not None or os.path.isfile(UpperCamelCase  ):
																										__UpperCAmelCase   :						Optional[Any]      							=					load_config_from_file(self._accelerate_config_file  ).to_dict()

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

												__UpperCAmelCase   :						List[str]      							=					"""not installed"""
												__UpperCAmelCase   :						Optional[int]      							=					"""NA"""
												if is_torch_available():
																			import torch

																			__UpperCAmelCase   :						Any      							=					torch.__version__
																			__UpperCAmelCase   :						List[Any]      							=					torch.cuda.is_available()

												__UpperCAmelCase   :						str      							=					"""not installed"""
												__UpperCAmelCase   :						int      							=					"""NA"""
												if is_tf_available():
																			import tensorflow as tf

																			__UpperCAmelCase   :						Any      							=					tf.__version__
																			try:
																										# deprecated in v2.1
																										__UpperCAmelCase   :						str      							=					tf.test.is_gpu_available()
																			except AttributeError:
																										# returns list of devices, convert to bool
																										__UpperCAmelCase   :						List[Any]      							=					bool(tf.config.list_physical_devices("""GPU"""  )  )

												__UpperCAmelCase   :						Any      							=					"""not installed"""
												__UpperCAmelCase   :						int      							=					"""not installed"""
												__UpperCAmelCase   :						List[str]      							=					"""not installed"""
												__UpperCAmelCase   :						List[Any]      							=					"""NA"""
												if is_flax_available():
																			import flax
																			import jax
																			import jaxlib

																			__UpperCAmelCase   :						Optional[Any]      							=					flax.__version__
																			__UpperCAmelCase   :						int      							=					jax.__version__
																			__UpperCAmelCase   :						Tuple      							=					jaxlib.__version__
																			__UpperCAmelCase   :						Optional[int]      							=					jax.lib.xla_bridge.get_backend().platform

												__UpperCAmelCase   :						Tuple      							=					{
												    """`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    : Dict  ):
												'''simple docstring'''






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




"""simple docstring"""






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCAmelCase    :     Any   						=		{
    'configuration_blenderbot': [
        'BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'BlenderbotConfig',
        'BlenderbotOnnxConfig',
    ],
    'tokenization_blenderbot': ['BlenderbotTokenizer'],
}

try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase    :     Optional[int]   						=		['BlenderbotTokenizerFast']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase    :     Optional[Any]   						=		[
							    'BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'BlenderbotForCausalLM',
							    'BlenderbotForConditionalGeneration',
							    'BlenderbotModel',
							    'BlenderbotPreTrainedModel',
							]


try:
							if not is_tf_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase    :     Optional[int]   						=		[
							    'TFBlenderbotForConditionalGeneration',
							    'TFBlenderbotModel',
							    'TFBlenderbotPreTrainedModel',
							]


try:
							if not is_flax_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCAmelCase    :     Optional[int]   						=		[
							    'FlaxBlenderbotForConditionalGeneration',
							    'FlaxBlenderbotModel',
							    'FlaxBlenderbotPreTrainedModel',
							]


if TYPE_CHECKING:
							from .configuration_blenderbot import (
							    BLENDERBOT_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    BlenderbotConfig,
							    BlenderbotOnnxConfig,
							)
							from .tokenization_blenderbot import BlenderbotTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_blenderbot_fast import BlenderbotTokenizerFast

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_blenderbot import (
														    BLENDERBOT_PRETRAINED_MODEL_ARCHIVE_LIST,
														    BlenderbotForCausalLM,
														    BlenderbotForConditionalGeneration,
														    BlenderbotModel,
														    BlenderbotPreTrainedModel,
														)

							try:
														if not is_tf_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_tf_blenderbot import (
														    TFBlenderbotForConditionalGeneration,
														    TFBlenderbotModel,
														    TFBlenderbotPreTrainedModel,
														)

							try:
														if not is_flax_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_flax_blenderbot import (
														    FlaxBlenderbotForConditionalGeneration,
														    FlaxBlenderbotModel,
														    FlaxBlenderbotPreTrainedModel,
														)

else:
							import sys

							UpperCAmelCase    :     Any   						=		_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
