"""simple docstring"""


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 					__a   (		A      ):






     '''simple docstring'''



     return EnvironmentCommand()






class    a__    (   _a	):


   @staticmethod
   def 	snake_case__	(     _UpperCAmelCase  ):
        '''simple docstring'''



        lowercase__				 =							parser.add_parser("env"  )
        download_parser.set_defaults(func=_UpperCAmelCase  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							huggingface_hub.__version__

        lowercase__				 =							"not installed"
        lowercase__				 =							"NA"
        if is_torch_available():
             import torch

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

        lowercase__				 =							"not installed"
        if is_transformers_available():
             import transformers

             lowercase__				 =							transformers.__version__

        lowercase__				 =							"not installed"
        if is_accelerate_available():
             import accelerate

             lowercase__				 =							accelerate.__version__

        lowercase__				 =							"not installed"
        if is_xformers_available():
             import xformers

             lowercase__				 =							xformers.__version__

        lowercase__				 =							{
            "`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 	snake_case__	(     _UpperCAmelCase  ):
        '''simple docstring'''



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





"""simple docstring"""


from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase_:					List[Any]     =					logging.get_logger(__name__)

lowerCAmelCase_:					int     =					{
    "microsoft/markuplm-base": "https://huggingface.co/microsoft/markuplm-base/resolve/main/config.json",
    "microsoft/markuplm-large": "https://huggingface.co/microsoft/markuplm-large/resolve/main/config.json",
}






class    a__    (   _a	):
   snake_case_							=      "markuplm"


   def __init__(     self,				_UpperCAmelCase=3_0522,				_UpperCAmelCase=768,				_UpperCAmelCase=12,				_UpperCAmelCase=12,				_UpperCAmelCase=3072,				_UpperCAmelCase="gelu",				_UpperCAmelCase=0.1,				_UpperCAmelCase=0.1,				_UpperCAmelCase=512,				_UpperCAmelCase=2,				_UpperCAmelCase=0.02,				_UpperCAmelCase=1E-12,				_UpperCAmelCase=0,				_UpperCAmelCase=0,				_UpperCAmelCase=2,				_UpperCAmelCase=256,				_UpperCAmelCase=1024,				_UpperCAmelCase=216,				_UpperCAmelCase=1001,				_UpperCAmelCase=32,				_UpperCAmelCase=50,				_UpperCAmelCase="absolute",				_UpperCAmelCase=True,				_UpperCAmelCase=None,				**_UpperCAmelCase,				):
        '''simple docstring'''



        super().__init__(
            pad_token_id=_UpperCAmelCase,				bos_token_id=_UpperCAmelCase,				eos_token_id=_UpperCAmelCase,				**_UpperCAmelCase,				)
        lowercase__				 =							vocab_size
        lowercase__				 =							hidden_size
        lowercase__				 =							num_hidden_layers
        lowercase__				 =							num_attention_heads
        lowercase__				 =							hidden_act
        lowercase__				 =							intermediate_size
        lowercase__				 =							hidden_dropout_prob
        lowercase__				 =							attention_probs_dropout_prob
        lowercase__				 =							max_position_embeddings
        lowercase__				 =							type_vocab_size
        lowercase__				 =							initializer_range
        lowercase__				 =							layer_norm_eps
        lowercase__				 =							position_embedding_type
        lowercase__				 =							use_cache
        lowercase__				 =							classifier_dropout
        # additional properties
        lowercase__				 =							max_depth
        lowercase__				 =							max_xpath_tag_unit_embeddings
        lowercase__				 =							max_xpath_subs_unit_embeddings
        lowercase__				 =							tag_pad_id
        lowercase__				 =							subs_pad_id
        lowercase__				 =							xpath_unit_hidden_size




