"""simple docstring"""


import json
import os
import tempfile
import unittest

from transformers.modelcard import ModelCard






class 					a					(				unittest.TestCase							):



  def        lowerCAmelCase_				(		self   :    Any     )      -> Union[str, Any]:
      __a			      =						{
          """model_details""": {
              """Organization""": """testing""",
              """Model date""": """today""",
              """Model version""": """v2.1, Developed by Test Corp in 2019.""",
              """Architecture""": """Convolutional Neural Network.""",
          },
          """metrics""": """BLEU and ROUGE-1""",
          """evaluation_data""": {
              """Datasets""": {"""BLEU""": """My-great-dataset-v1""", """ROUGE-1""": """My-short-dataset-v2.1"""},
              """Preprocessing""": """See details on https://arxiv.org/pdf/1810.03993.pdf""",
          },
          """training_data""": {
              """Dataset""": """English Wikipedia dump dated 2018-12-01""",
              """Preprocessing""": (
                  """Using SentencePiece vocabulary of size 52k tokens. See details on"""
                  """ https://arxiv.org/pdf/1810.03993.pdf"""
              ),
          },
          """quantitative_analyses""": {"""BLEU""": 55.1, """ROUGE-1""": 76},
      }



  def        lowerCAmelCase_				(		self   :    Optional[int]     )      -> Union[str, Any]:
      __a			      =						ModelCard.from_dict(self.inputs_dict     )
      self.assertTrue(hasattr(lowerCamelCase_						,  """model_details"""     )     )
      self.assertTrue(hasattr(lowerCamelCase_						,  """intended_use"""     )     )
      self.assertTrue(hasattr(lowerCamelCase_						,  """factors"""     )     )
      self.assertTrue(hasattr(lowerCamelCase_						,  """metrics"""     )     )
      self.assertTrue(hasattr(lowerCamelCase_						,  """evaluation_data"""     )     )
      self.assertTrue(hasattr(lowerCamelCase_						,  """training_data"""     )     )
      self.assertTrue(hasattr(lowerCamelCase_						,  """quantitative_analyses"""     )     )
      self.assertTrue(hasattr(lowerCamelCase_						,  """ethical_considerations"""     )     )
      self.assertTrue(hasattr(lowerCamelCase_						,  """caveats_and_recommendations"""     )     )



  def        lowerCAmelCase_				(		self   :    Optional[Any]     )      -> Any:
      __a			      =						ModelCard.from_dict(self.inputs_dict     )
      __a			      =						json.loads(modelcard.to_json_string()     )
      for key, value in self.inputs_dict.items():
          self.assertEqual(obj[key]						,  lowerCamelCase_     )



  def        lowerCAmelCase_				(		self   :    Tuple     )      -> Optional[Any]:
      __a			      =						ModelCard.from_dict(self.inputs_dict     )

      with tempfile.TemporaryDirectory() as tmpdirname:
          __a			      =						os.path.join(lowerCamelCase_						,  """modelcard.json"""     )
          model_card_first.to_json_file(lowerCamelCase_     )
          __a			      =						ModelCard.from_json_file(lowerCamelCase_     )

      self.assertEqual(model_card_second.to_dict()						,  model_card_first.to_dict()     )



  def        lowerCAmelCase_				(		self   :    Any     )      -> List[str]:
      __a			      =						ModelCard.from_dict(self.inputs_dict     )

      with tempfile.TemporaryDirectory() as tmpdirname:
          model_card_first.save_pretrained(lowerCamelCase_     )
          __a			      =						ModelCard.from_pretrained(lowerCamelCase_     )

      self.assertEqual(model_card_second.to_dict()						,  model_card_first.to_dict()     )

"""simple docstring"""


def 						UpperCamelCase				(	_lowerCAmelCase   :							Dict				, _lowerCAmelCase   :							Tuple						):
    __a			      =						len(_lowerCAmelCase						)
    # Create a stack and push index of fist element to it
    __a			      =						[]
    st.append(0						)

    # Span value of first element is always 1
    __a			      =						1

    # Calculate span values for rest of the elements
    for i in range(1				, _lowerCAmelCase						):
        # Pop elements from stack while stack is not
        # empty and top of stack is smaller than price[i]
        while len(_lowerCAmelCase						) > 0 and price[st[0]] <= price[i]:
            st.pop()

        # If stack becomes empty, then price[i] is greater
        # than all elements on left of it, i.e. price[0],
        # price[1], ..price[i-1]. Else the price[i]  is
        # greater than elements after top of stack
        __a			      =						i + 1 if len(_lowerCAmelCase						) <= 0 else (i - st[0])

        # Push this element to stack
        st.append(_lowerCAmelCase						)

def 						UpperCamelCase				(	_lowerCAmelCase   :							Dict				, _lowerCAmelCase   :							Optional[Any]						):
    for i in range(0				, _lowerCAmelCase						):
        print(arr[i]				, end=""" """						)


# Driver program to test above function
__A       			=      [10, 4, 5, 90, 1_20, 80]
__A       			=      [0 for i in range(len(price) + 1)]

# Fill the span values in array S[]
calculation_span(price, S)






print_array(S, len(price))
