
"""simple docstring"""






def    UpperCamelCase						(					UpperCAmelCase ,   UpperCAmelCase ,   UpperCAmelCase ,   UpperCAmelCase ,   UpperCAmelCase ,   UpperCAmelCase ,   )						->Dict:

   """simple docstring"""



   a_						   =     list(UpperCAmelCase     )
   a_						   =     list(UpperCAmelCase     )
   a_						   =     len(UpperCAmelCase     )
   a_						   =     len(UpperCAmelCase     )

   a_						   =     [
       [0 for _ in range(len_destination_seq + 1     )] for _ in range(len_source_seq + 1     )
   ]
   a_						   =     [
       ["0" for _ in range(len_destination_seq + 1     )] for _ in range(len_source_seq + 1     )
   ]

   for i in range(1 ,   len_source_seq + 1     ):
      a_						   =     i * delete_cost
      a_						   =     F'''D{source_seq[i - 1]:c}'''

   for i in range(1 ,   len_destination_seq + 1     ):
      a_						   =     i * insert_cost
      a_						   =     F'''I{destination_seq[i - 1]:c}'''

   for i in range(1 ,   len_source_seq + 1     ):
      for j in range(1 ,   len_destination_seq + 1     ):
         if source_seq[i - 1] == destination_seq[j - 1]:
            a_						   =     costs[i - 1][j - 1] + copy_cost
            a_						   =     F'''C{source_seq[i - 1]:c}'''
         else:
            a_						   =     costs[i - 1][j - 1] + replace_cost
            a_						   =     F'''R{source_seq[i - 1]:c}''' + str(destination_seq[j - 1]     )

         if costs[i - 1][j] + delete_cost < costs[i][j]:
            a_						   =     costs[i - 1][j] + delete_cost
            a_						   =     F'''D{source_seq[i - 1]:c}'''

         if costs[i][j - 1] + insert_cost < costs[i][j]:
            a_						   =     costs[i][j - 1] + insert_cost
            a_						   =     F'''I{destination_seq[j - 1]:c}'''

   return costs, ops
def    UpperCamelCase						(					UpperCAmelCase ,   UpperCAmelCase ,   UpperCAmelCase     )						->Optional[Any]:

   """simple docstring"""



   if i == 0 and j == 0:
      return []
   else:
      if ops[i][j][0] == "C" or ops[i][j][0] == "R":
         a_						   =     assemble_transformation(UpperCAmelCase ,   i - 1 ,   j - 1     )
         seq.append(ops[i][j]     )
         return seq
      elif ops[i][j][0] == "D":
         a_						   =     assemble_transformation(UpperCAmelCase ,   i - 1 ,   UpperCAmelCase     )
         seq.append(ops[i][j]     )
         return seq
      else:
         a_						   =     assemble_transformation(UpperCAmelCase ,   UpperCAmelCase ,   j - 1     )
         seq.append(ops[i][j]     )
         return seq


if __name__ == "__main__":
      UpperCamelCase_						   =   compute_transform_tables('Python', 'Algorithms', -1, 1, 2, 2)

      UpperCamelCase_						   =   len(operations)
      UpperCamelCase_						   =   len(operations[0])
      UpperCamelCase_						   =   assemble_transformation(operations, m - 1, n - 1)

      UpperCamelCase_						   =   list('Python')
      UpperCamelCase_						   =   0
      UpperCamelCase_						   =   0

      with open('min_cost.txt', 'w') as file:
            for op in sequence:
                  print(''.join(string))

                  if op[0] == "C":
                        file.write('%-16s' % 'Copy %c' % op[1])
                        file.write('\t\t\t' + ''.join(string))
                        file.write('\r\n')

                        cost -= 1
                  elif op[0] == "R":
                        UpperCamelCase_						   =   op[2]

                        file.write('%-16s' % ('Replace %c' % op[1] + ' with ' + str(op[2])))
                        file.write('\t\t' + ''.join(string))
                        file.write('\r\n')

                        cost += 1
                  elif op[0] == "D":
                        string.pop(i)

                        file.write('%-16s' % 'Delete %c' % op[1])
                        file.write('\t\t\t' + ''.join(string))
                        file.write('\r\n')

                        cost += 2
                  else:
                        string.insert(i, op[1])

                        file.write('%-16s' % 'Insert %c' % op[1])
                        file.write('\t\t\t' + ''.join(string))
                        file.write('\r\n')

                        cost += 2

                  i += 1

            print(''.join(string))
            print('Cost: ', cost)

            file.write('\r\nMinimum cost: ' + str(cost))






import numpy as np
import requests


def      SCREAMING_SNAKE_CASE      (   ):
       _UpperCamelCase														=    requests.get(
           '''https://raw.githubusercontent.com/yashLadha/The_Math_of_Intelligence/'''
           '''master/Week1/ADRvsRating.csv'''       )
       _UpperCamelCase														=    response.text.splitlines()
       _UpperCamelCase														=    []
       for item in lines:
              _UpperCamelCase														=    item.split(''','''       )
              data.append(lowerCAmelCase       )
       data.pop(0       )  # This is for removing the labels from the list
       _UpperCamelCase														=    np.matrix(lowerCAmelCase       )
       return dataset


def      SCREAMING_SNAKE_CASE      (   lowerCAmelCase     ,							lowerCAmelCase     ,							lowerCAmelCase     ,							lowerCAmelCase     ,							lowerCAmelCase       ):
       _UpperCamelCase														=    len_data

       _UpperCamelCase														=    np.dot(lowerCAmelCase     ,							data_x.transpose()       )
       prod -= data_y.transpose()
       _UpperCamelCase														=    np.dot(lowerCAmelCase     ,							lowerCAmelCase       )
       _UpperCamelCase														=    theta - (alpha / n) * sum_grad
       return theta


def      SCREAMING_SNAKE_CASE      (   lowerCAmelCase     ,							lowerCAmelCase     ,							lowerCAmelCase     ,							lowerCAmelCase       ):
       _UpperCamelCase														=    np.dot(lowerCAmelCase     ,							data_x.transpose()       )
       prod -= data_y.transpose()
       _UpperCamelCase														=    np.sum(np.square(lowerCAmelCase       )       )
       _UpperCamelCase														=    sum_elem / (2 * len_data)
       return error


def      SCREAMING_SNAKE_CASE      (   lowerCAmelCase     ,							lowerCAmelCase       ):
       _UpperCamelCase														=    100_000
       _UpperCamelCase														=    0.0_0_0_1_5_5_0

       _UpperCamelCase														=    data_x.shape[1]
       _UpperCamelCase														=    data_x.shape[0] - 1

       _UpperCamelCase														=    np.zeros((1, no_features)       )

       for i in range(0     ,							lowerCAmelCase       ):
              _UpperCamelCase														=    run_steep_gradient_descent(lowerCAmelCase     ,							lowerCAmelCase     ,							lowerCAmelCase     ,							lowerCAmelCase     ,							lowerCAmelCase       )
              _UpperCamelCase														=    sum_of_square_error(lowerCAmelCase     ,							lowerCAmelCase     ,							lowerCAmelCase     ,							lowerCAmelCase       )
              print(f'''At Iteration {i + 1} - Error is {error:.5f}'''       )

       return theta


def      SCREAMING_SNAKE_CASE      (   lowerCAmelCase     ,							lowerCAmelCase       ):
       _UpperCamelCase														=    sum(abs(y - predicted_y[i]       ) for i, y in enumerate(lowerCAmelCase       )       )
       return total / len(lowerCAmelCase       )


def      SCREAMING_SNAKE_CASE      (   ):
       _UpperCamelCase														=    collect_dataset()

       _UpperCamelCase														=    data.shape[0]
       _UpperCamelCase														=    np.c_[np.ones(lowerCAmelCase       ), data[:, :-1]].astype(lowerCAmelCase       )
       _UpperCamelCase														=    data[:, -1].astype(lowerCAmelCase       )

       _UpperCamelCase														=    run_linear_regression(lowerCAmelCase     ,							lowerCAmelCase       )
       _UpperCamelCase														=    theta.shape[1]
       print('''Resultant Feature vector : '''       )
       for i in range(0     ,							lowerCAmelCase       ):
              print(f'''{theta[0, i]:.5f}'''       )


if __name__ == "__main__":
       main()






