






import unittest

from transformers import DonutProcessor


__a      :       Optional[int]				  =   "naver-clova-ix/donut-base"


class       __lowercase      (	unittest.TestCase  ):







     '''simple docstring'''




     def 		lowerCAmelCase_     (				self       :			Optional[int]				):


         """simple docstring"""



         __A         =	DonutProcessor.from_pretrained(UpperCamelCase_				)





     def 		lowerCAmelCase_     (				self       :			Union[str, Any]				):


         """simple docstring"""



         __A         =	{
             """name""": """John Doe""",
             """age""": """99""",
             """city""": """Atlanta""",
             """state""": """GA""",
             """zip""": """30301""",
             """phone""": """123-4567""",
             """nicknames""": [{"""nickname""": """Johnny"""}, {"""nickname""": """JD"""}],
         }

         __A         =	(
             """<s_name>John Doe</s_name><s_age>99</s_age><s_city>Atlanta</s_city>"""
             """<s_state>GA</s_state><s_zip>30301</s_zip><s_phone>123-4567</s_phone>"""
             """<s_nicknames><s_nickname>Johnny</s_nickname>"""
             """<sep/><s_nickname>JD</s_nickname></s_nicknames>"""
         )
         __A         =	self.processor.tokenajson(UpperCamelCase_				)

         self.assertDictEqual(UpperCamelCase_ ,	UpperCamelCase_				)












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 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Any    )						->      Optional[int]:





    """simple docstring"""

    return EnvironmentCommand()






class       __lowercase      (	lowercase_  ):







     '''simple docstring'''




     @staticmethod
     def 		lowerCAmelCase_     (				UpperCamelCase_       :			ArgumentParser				):


         """simple docstring"""



         __A         =	parser.add_parser("""env"""				)
         download_parser.set_defaults(func=UpperCamelCase_				)




     def 		lowerCAmelCase_     (				self       :			Any				):


         """simple docstring"""



         __A         =	huggingface_hub.__version__

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

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

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

             __A         =	transformers.__version__

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

             __A         =	accelerate.__version__

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

             __A         =	xformers.__version__

         __A         =	{
             """`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 		lowerCAmelCase_     (				UpperCamelCase_       :			str				):


         """simple docstring"""



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




