



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






def 					__lowerCAmelCase		(  __lowerCamelCase	:    Optional[int]	)  ->						Tuple:
					return EnvironmentCommand(args.accelerate_config_file	)






class 						__a (     SCREAMING_SNAKE_CASE				):



	@staticmethod
	def 		UpperCamelCase							(						snake_case_							:    ArgumentParser)->							int:
						__lowerCAmelCase	   =parser.add_parser("""env""")
						download_parser.set_defaults(func=snake_case_)
						download_parser.add_argument(
						    """--accelerate-config_file"""				,	default=snake_case_				,	help="""The accelerate config file to use for the default values in the launching script."""				,	)
						download_parser.set_defaults(func=snake_case_)



	def __init__(						self							:    str				,	snake_case_							:    Union[str, Any]				,	*snake_case_							:    Tuple)->							None:
						__lowerCAmelCase	   =accelerate_config_file



	def 		UpperCamelCase							(						self							:    Any)->							List[Any]:
						__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(snake_case_):
																__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(snake_case_				,	snake_case_)
											    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(snake_case_))

						return info



	@staticmethod
	def 		UpperCamelCase							(						snake_case_							:    Dict)->							str:
						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,
)


lowercase_	       =			{
    '''configuration_encodec''': [
        '''ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''EncodecConfig''',
    ],
    '''feature_extraction_encodec''': ['''EncodecFeatureExtractor'''],
}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				lowercase_	       =			[
				    '''ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST''',
				    '''EncodecModel''',
				    '''EncodecPreTrainedModel''',
				]

if TYPE_CHECKING:
				from .configuration_encodec import (
				    ENCODEC_PRETRAINED_CONFIG_ARCHIVE_MAP,
				    EncodecConfig,
				)
				from .feature_extraction_encodec import EncodecFeatureExtractor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_encodec import (
								    ENCODEC_PRETRAINED_MODEL_ARCHIVE_LIST,
								    EncodecModel,
								    EncodecPreTrainedModel,
								)

else:
				import sys

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




