'''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 							snake_case__				(     _A:   List[Any]					)       ->      Optional[Any]:

		'''simple docstring'''


		return EnvironmentCommand()






def 							snake_case__				(     _A:   Any					)       ->      Any:

		'''simple docstring'''


		return EnvironmentCommand(args.accelerate_config_file					)






class 							a__(   lowerCAmelCase__      ):


			'''simple docstring'''






			@staticmethod
			def 				a_			(  __lowerCAmelCase):




					"""simple docstring"""


					lowerCAmelCase     =    parser.add_parser("""env""")
					download_parser.set_defaults(func=__lowerCAmelCase)
					download_parser.add_argument(
					    """--accelerate-config_file"""			,       default=__lowerCAmelCase			,       help="""The accelerate config file to use for the default values in the launching script."""			,       )
					download_parser.set_defaults(func=__lowerCAmelCase)



			def __init__(  self			,       __lowerCAmelCase			,       *__lowerCAmelCase):




					"""simple docstring"""


					lowerCAmelCase     =    accelerate_config_file



			def 				a_			(  self):




					"""simple docstring"""


					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(__lowerCAmelCase):
									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(__lowerCAmelCase			,       __lowerCAmelCase)
							    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(__lowerCAmelCase))

					return info







			@staticmethod
			def 				a_			(  __lowerCAmelCase):




					"""simple docstring"""


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





'''simple docstring'''




import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, Features, Value
from .base import TaskTemplate






@dataclass(frozen=lowerCAmelCase__      )
class 							a__(   lowerCAmelCase__      ):


			'''simple docstring'''






			UpperCAmelCase_     :	str						=			field(default='''automatic-speech-recognition'''					,		metadata={'''include_in_asdict_even_if_is_default''': True}      )
			UpperCAmelCase_     :	ClassVar[Features]						=			Features({'''audio''': Audio()}      )
			UpperCAmelCase_     :	ClassVar[Features]						=			Features({'''transcription''': Value('''string'''      )}      )
			UpperCAmelCase_     :	str						=			"audio"
			UpperCAmelCase_     :	str						=			"transcription"



			def 				a_			(  self			,       __lowerCAmelCase):




					"""simple docstring"""


					if self.audio_column not in features:
							raise ValueError(f"Column {self.audio_column} is not present in features.")
					if not isinstance(features[self.audio_column]			,       __lowerCAmelCase):
							raise ValueError(f"Column {self.audio_column} is not an Audio type.")
					lowerCAmelCase     =    copy.deepcopy(self)
					lowerCAmelCase     =    self.input_schema.copy()
					lowerCAmelCase     =    features[self.audio_column]
					lowerCAmelCase     =    input_schema
					return task_template







			@property
			def 				a_			(  self):




					"""simple docstring"""


					return {self.audio_column: "audio", self.transcription_column: "transcription"}




