






import platform
from argparse import ArgumentParser

import huggingface_hub

from .. import __version__ as version
from ..utils import is_accelerate_available, is_torch_available, is_transformers_available, is_xformers_available
from . import BaseDiffusersCLICommand






def 					lowerCamelCase_   (	_a	):




		"""simple docstring"""






		return EnvironmentCommand()





class  _a							(    _snake_case):




	@staticmethod
	def 							UpperCAmelCase__( _SCREAMING_SNAKE_CASE						:		Dict		)->	Dict:
			lowerCAmelCase__       :      Optional[Any]   					= parser.add_parser('''env'''		)
			download_parser.set_defaults(func=UpperCamelCase__		)




	def 							UpperCAmelCase__( self						:		List[str]		)->	Optional[Any]:
			lowerCAmelCase__       :      int   					= huggingface_hub.__version__

			lowerCAmelCase__       :      List[Any]   					= '''not installed'''
			lowerCAmelCase__       :      int   					= '''NA'''
			if is_torch_available():
					import torch

					lowerCAmelCase__       :      Tuple   					= torch.__version__
					lowerCAmelCase__       :      Optional[int]   					= torch.cuda.is_available()

			lowerCAmelCase__       :      str   					= '''not installed'''
			if is_transformers_available():
					import transformers

					lowerCAmelCase__       :      Dict   					= transformers.__version__

			lowerCAmelCase__       :      List[str]   					= '''not installed'''
			if is_accelerate_available():
					import accelerate

					lowerCAmelCase__       :      List[str]   					= accelerate.__version__

			lowerCAmelCase__       :      Dict   					= '''not installed'''
			if is_xformers_available():
					import xformers

					lowerCAmelCase__       :      Any   					= xformers.__version__

			lowerCAmelCase__       :      Any   					= {
			    '''`diffusers` version''': version,
			    '''Platform''': platform.platform(),
			    '''Python version''': platform.python_version(),
			    '''PyTorch version (GPU?)''': F'{pt_version} ({pt_cuda_available})',
			    '''Huggingface_hub version''': hub_version,
			    '''Transformers version''': transformers_version,
			    '''Accelerate version''': accelerate_version,
			    '''xFormers version''': xformers_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 							UpperCAmelCase__( _SCREAMING_SNAKE_CASE						:		str		)->	str:
			return "\n".join([F'- {prop}: {val}' for prop, val in d.items()]		) + "\n"








from ...utils import is_note_seq_available, is_transformers_available, is_torch_available
from ...utils import OptionalDependencyNotAvailable


try:
		if not (is_transformers_available() and is_torch_available()):
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
		from .notes_encoder import SpectrogramNotesEncoder
		from .continous_encoder import SpectrogramContEncoder
		from .pipeline_spectrogram_diffusion import (
		    SpectrogramContEncoder,
		    SpectrogramDiffusionPipeline,
		    TaFilmDecoder,
		)

try:
		if not (is_transformers_available() and is_torch_available() and is_note_seq_available()):
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		from ...utils.dummy_transformers_and_torch_and_note_seq_objects import *  # noqa F403
else:
		from .midi_utils import MidiProcessor




