





'''simple docstring'''






import logging
import os
from logging import (
    CRITICAL,  # NOQA
    DEBUG,  # NOQA
    ERROR,  # NOQA
    FATAL,  # NOQA
    INFO,  # NOQA
    NOTSET,  # NOQA
    WARN,  # NOQA
    WARNING,  # NOQA
)
from typing import Optional

from tqdm import auto as tqdm_lib


lowerCAmelCase       		=      {
    """debug""": logging.DEBUG,
    """info""": logging.INFO,
    """warning""": logging.WARNING,
    """error""": logging.ERROR,
    """critical""": logging.CRITICAL,
}

lowerCAmelCase       		=      logging.WARNING






def      __A						(							):
		lowerCAmelCase     :    List[Any]						=   os.getenv("DATASETS_VERBOSITY"      ,a_	)
		if env_level_str:
				if env_level_str in log_levels:
						return log_levels[env_level_str]
				else:
						logging.getLogger().warning(
						    f'''Unknown option DATASETS_VERBOSITY={env_level_str}, '''
						    f'''has to be one of: { ", ".join(log_levels.keys()	) }'''	)
		return _default_log_level






def      __A						(							):
		return __name__.split("."	)[0]






def      __A						(							):
		return logging.getLogger(_get_library_name()	)






def      __A						(							):
		# Apply our default configuration to the library root logger.
		lowerCAmelCase     :    List[Any]						=   _get_library_root_logger()
		library_root_logger.setLevel(_get_default_logging_level()	)






def      __A						(							):
		lowerCAmelCase     :    int						=   _get_library_root_logger()
		library_root_logger.setLevel(logging.NOTSET	)






def      __A						(							a_						:  Optional[str] = None	):
		if name is None:
				lowerCAmelCase     :    Dict						=   _get_library_name()
		return logging.getLogger(a_	)






def      __A						(							):
		return _get_library_root_logger().getEffectiveLevel()






def      __A						(							a_						:  int	):
		_get_library_root_logger().setLevel(a_	)






def      __A						(							):
		return set_verbosity(a_	)






def      __A						(							):
		return set_verbosity(a_	)






def      __A						(							):
		return set_verbosity(a_	)






def      __A						(							):
		return set_verbosity(a_	)






def      __A						(							):
		lowerCAmelCase     :    Optional[int]						=   False






def      __A						(							):
		lowerCAmelCase     :    List[str]						=   True


# Configure the library root logger at the module level (singleton-like)
_configure_library_root_logger()
class 		lowerCamelCase  :



	def __init__(   self		,      *a_		,      **a_	):  # pylint: disable=unused-argument
			lowerCAmelCase     :    Union[str, Any]						=   args[0] if args else None



	def __iter__(   self	):
			return iter(self._iterator	)



	def __getattr__(   self		,      a_	):

			def empty_fn(*a_		,      **a_	):  # pylint: disable=unused-argument
					return

			return empty_fn



	def __enter__(   self	):
			return self





	def __exit__(   self		,      a_		,      a_		,      a_	):
			return






lowerCAmelCase       		=      True
class 		lowerCamelCase  :



	def __call__(   self		,      *a_		,      a_=False		,      **a_	):
			if _tqdm_active and not disable:
					return tqdm_lib.tqdm(*a_		,      **a_	)
			else:
					return EmptyTqdm(*a_		,      **a_	)



	def   _lowerCamelCase    (   self		,      *a_		,      **a_	):
			lowerCAmelCase     :    str						=   None
			if _tqdm_active:
					return tqdm_lib.tqdm.set_lock(*a_		,      **a_	)





	def   _lowerCamelCase    (   self	):
			if _tqdm_active:
					return tqdm_lib.tqdm.get_lock()






lowerCAmelCase       		=      _tqdm_cls()






def      __A						(							):
		global _tqdm_active
		return bool(_tqdm_active	)






def      __A						(							):
		global _tqdm_active
		lowerCAmelCase     :    List[str]						=   True






def      __A						(							):
		global _tqdm_active
		lowerCAmelCase     :    str						=   False










'''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      __A						(							a_						:  int	):
		return EnvironmentCommand()






def      __A						(							a_						:  Tuple	):
		return EnvironmentCommand(args.accelerate_config_file	)

class 		lowerCamelCase  (      _A       ):



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



	def __init__(   self		,      a_		,      *a_	):
			lowerCAmelCase     :    List[str]						=   accelerate_config_file



	def   _lowerCamelCase    (   self	):
			lowerCAmelCase     :    int						=   "not installed"
			if is_safetensors_available():
					import safetensors

					lowerCAmelCase     :    Optional[int]						=   safetensors.__version__
			elif importlib.util.find_spec("safetensors"	) is not None:
					import safetensors

					lowerCAmelCase     :    Optional[int]						=   F'''{safetensors.__version__} but is ignored because of PyTorch version too old.'''

			lowerCAmelCase     :    int						=   "not installed"
			lowerCAmelCase     :    List[str]						=   "not found"
			if is_accelerate_available():
					import accelerate
					from accelerate.commands.config import default_config_file, load_config_from_file

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

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

			lowerCAmelCase     :    str						=   "not installed"
			lowerCAmelCase     :    Union[str, Any]						=   "NA"
			if is_torch_available():
					import torch

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

			lowerCAmelCase     :    int						=   "not installed"
			lowerCAmelCase     :    Dict						=   "NA"
			if is_tf_available():
					import tensorflow as tf

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

			lowerCAmelCase     :    Union[str, Any]						=   "not installed"
			lowerCAmelCase     :    Any						=   "not installed"
			lowerCAmelCase     :    str						=   "not installed"
			lowerCAmelCase     :    Dict						=   "NA"
			if is_flax_available():
					import flax
					import jax
					import jaxlib

					lowerCAmelCase     :    Union[str, Any]						=   flax.__version__
					lowerCAmelCase     :    int						=   jax.__version__
					lowerCAmelCase     :    Optional[Any]						=   jaxlib.__version__
					lowerCAmelCase     :    int						=   jax.lib.xla_bridge.get_backend().platform

			lowerCAmelCase     :    Optional[Any]						=   {
			    "`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(a_	)	)

			return info





	@staticmethod
	def   _lowerCamelCase    (   a_	):
			return "\n".join([F'''- {prop}: {val}''' for prop, val in d.items()]	) + "\n"



