import unittest

from transformers import is_torch_available, is_vision_available
from transformers.testing_utils import require_torch, require_vision, slow, torch_device


if is_torch_available():
       import torch

       from transformers import AutoModelForImageClassification

if is_vision_available():
       from transformers import AutoImageProcessor





@require_torch
@require_vision
class 					A							(    unittest.TestCase					):


   @slow
   def       lowercase_				(self					:						Any		)						->    Tuple:
         """simple docstring"""



         UpperCAmelCase__								=  AutoImageProcessor.from_pretrained("microsoft/dit-base-finetuned-rvlcdip"		)
         UpperCAmelCase__								=  AutoModelForImageClassification.from_pretrained("microsoft/dit-base-finetuned-rvlcdip"		)
         model.to(lowerCAmelCase_		)

         from datasets import load_dataset

         UpperCAmelCase__								=  load_dataset("nielsr/rvlcdip-demo"		)

         UpperCAmelCase__								=  dataset["train"][0]["image"].convert("RGB"		)

         UpperCAmelCase__								=  image_processor(lowerCAmelCase_	,  return_tensors="pt"		).to(lowerCAmelCase_		)

         # forward pass
         with torch.no_grad():
               UpperCAmelCase__								=  model(**lowerCAmelCase_		)
               UpperCAmelCase__								=  outputs.logits

         UpperCAmelCase__								=  torch.Size((1, 1_6)		)
         self.assertEqual(logits.shape	,  lowerCAmelCase_		)

         UpperCAmelCase__								=  torch.tensor(
             [-0.4158, -0.4092, -0.4347]	,  device=lowerCAmelCase_	,  dtype=torch.float	,  )
         self.assertTrue(torch.allclose(logits[0, :3]	,  lowerCAmelCase_	,  atol=1E-4		)		)




# Lint as: python3
import itertools
import os
import re


UpperCamelCase__    							= re.compile(R'([A-Z]+)([A-Z][a-z])')
UpperCamelCase__    							= re.compile(R'([a-z\d])([A-Z])')

UpperCamelCase__    							= re.compile(R'(?<!_)_(?!_)')
UpperCamelCase__    							= re.compile(R'(_{2,})')

UpperCamelCase__    							= R'^\w+(\.\w+)*$'

UpperCamelCase__    							= R'<>:/\|?*'




def        lowerCAmelCase_			(					__A							)					->    Dict:







      '''simple docstring'''


      UpperCAmelCase__								=  _uppercase_uppercase_re.sub(r"\1_\2",  __A							)
      UpperCAmelCase__								=  _lowercase_uppercase_re.sub(r"\1_\2",  __A							)
      return name.lower()




def        lowerCAmelCase_			(					__A							)					->    Optional[Any]:







      '''simple docstring'''


      UpperCAmelCase__								=  _single_underscore_re.split(__A							)
      UpperCAmelCase__								=  [_multiple_underscores_re.split(__A							) for n in name]
      return "".join(n.capitalize() for n in itertools.chain.from_iterable(__A							) if n != ""							)




def        lowerCAmelCase_			(					__A							)					->    List[str]:







      '''simple docstring'''


      if os.path.basename(__A							) != name:
            raise ValueError(f"""Should be a dataset name, not a path: {name}"""							)
      return camelcase_to_snakecase(__A							)




def        lowerCAmelCase_			(					__A,  __A							)					->    Optional[int]:







      '''simple docstring'''


      if os.path.basename(__A							) != name:
            raise ValueError(f"""Should be a dataset name, not a path: {name}"""							)
      if not re.match(_split_re,  __A							):
            raise ValueError(f"""Split name should match '{_split_re}'' but got '{split}'."""							)
      return f"""{filename_prefix_for_name(__A							)}-{split}"""




def        lowerCAmelCase_			(					__A,  __A,  __A,  __A=None							)					->    str:







      '''simple docstring'''


      UpperCAmelCase__								=  filename_prefix_for_split(__A,  __A							)
      if filetype_suffix:
            prefix += f""".{filetype_suffix}"""
      UpperCAmelCase__								=  os.path.join(__A,  __A							)
      return f"""{filepath}*"""







def        lowerCAmelCase_			(					__A,  __A,  __A,  __A=None,  __A=None							)					->    Any:







      '''simple docstring'''


      UpperCAmelCase__								=  filename_prefix_for_split(__A,  __A							)
      UpperCAmelCase__								=  os.path.join(__A,  __A							)

      if shard_lengths:
            UpperCAmelCase__								=  len(__A							)
            UpperCAmelCase__								=  [f"""{prefix}-{shard_id:05d}-of-{num_shards:05d}""" for shard_id in range(__A							)]
            if filetype_suffix:
                  UpperCAmelCase__								=  [filename + f""".{filetype_suffix}""" for filename in filenames]
            return filenames
      else:
            UpperCAmelCase__								=  prefix
            if filetype_suffix:
                  filename += f""".{filetype_suffix}"""
            return [filename]



