






"""simple docstring"""


from collections import Counter

import numpy as np
from sklearn import datasets
from sklearn.model_selection import train_test_split

_UpperCamelCase    :   Tuple   			=						datasets.load_iris()

_UpperCamelCase    :   Union[str, Any]   			=						np.array(data['data'])
_UpperCamelCase    :   List[str]   			=						np.array(data['target'])
_UpperCamelCase    :   Any   			=						data['target_names']

_UpperCamelCase			,					_UpperCamelCase			,					_UpperCamelCase			,					_UpperCamelCase    :   str   			=						train_test_split(X, y)




def       snake_case  (A_				:Tuple     ,      A_				:Dict				):







  '''simple docstring'''

  return np.linalg.norm(np.array(A_				) - np.array(A_				)				)




def       snake_case  (A_				:List[Any]     ,      A_				:Union[str, Any]     ,      A_				:Tuple     ,      A_				:Dict     ,      A_				:Union[str, Any]=5				):







  '''simple docstring'''

  a					:      int    =       zip(A_     ,      A_				)
  # List of distances of all points from the point to be classified
  a					:      Optional[Any]    =       []
  for data_point in data:
    a					:      Union[str, Any]    =       euclidean_distance(data_point[0]     ,      A_				)
    distances.append((distance, data_point[1])				)
  # Choosing 'k' points with the least distances.
  a					:      List[Any]    =       [i[1] for i in sorted(A_				)[:k]]
  # Most commonly occurring class among them
  # is the class into which the point is classified
  a					:      str    =       Counter(A_				).most_common(1				)[0][0]
  return classes[result]


if __name__ == "__main__":
   print(classifier(X_train, y_train, classes, [4.4, 3.1, 1.3, 1.4]))












"""simple docstring"""


_UpperCamelCase    :   List[Any]   			=						8.31_44_62  # Unit - J mol-1 K-1




def       snake_case  (A_				:float     ,      A_				:float     ,      A_				:float				):







  '''simple docstring'''

  if moles < 0 or kelvin < 0 or volume < 0:
    raise ValueError('Invalid inputs. Enter positive value.'				)
  return moles * kelvin * UNIVERSAL_GAS_CONSTANT / volume




def       snake_case  (A_				:float     ,      A_				:float     ,      A_				:float				):







  '''simple docstring'''

  if moles < 0 or kelvin < 0 or pressure < 0:
    raise ValueError('Invalid inputs. Enter positive value.'				)
  return moles * kelvin * UNIVERSAL_GAS_CONSTANT / pressure


if __name__ == "__main__":
   from doctest import testmod

   testmod()




