




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       UpperCAmelCase       (     _snake_case							):
							return EnvironmentCommand()



def       UpperCAmelCase       (     _snake_case							):
							return EnvironmentCommand(args.accelerate_config_file							)


class 							__UpperCamelCase			( __UpperCAmelCase  ):





				'''simple docstring'''



				@staticmethod
				def       __snake_case		( UpperCAmelCase_						):
											lowerCAmelCase   =		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_						):
											lowerCAmelCase   =		accelerate_config_file



				def       __snake_case		( self						):
											lowerCAmelCase   =		'''not installed'''
											if is_safetensors_available():
																		import safetensors

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

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

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

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

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

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

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

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

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

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

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

											lowerCAmelCase   =		{
											    '''`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_						):
											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


UpperCAmelCase_						={
    """configuration_jukebox""": [
        """JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """JukeboxConfig""",
        """JukeboxPriorConfig""",
        """JukeboxVQVAEConfig""",
    ],
    """tokenization_jukebox""": ["""JukeboxTokenizer"""],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase_						=[
		    """JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST""",
		    """JukeboxModel""",
		    """JukeboxPreTrainedModel""",
		    """JukeboxVQVAE""",
		    """JukeboxPrior""",
		]

if TYPE_CHECKING:
		from .configuration_jukebox import (
		    JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    JukeboxConfig,
		    JukeboxPriorConfig,
		    JukeboxVQVAEConfig,
		)
		from .tokenization_jukebox import JukeboxTokenizer

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_jukebox import (
				    JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST,
				    JukeboxModel,
				    JukeboxPreTrainedModel,
				    JukeboxPrior,
				    JukeboxVQVAE,
				)

else:
		import sys

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



