

import numpy as np
def 		SCREAMING_SNAKE_CASE__				(							_UpperCAmelCase,      _UpperCAmelCase,      _UpperCAmelCase				)					-> Optional[int]:



    '''simple docstring'''






    lowerCAmelCase				:			Optional[Any]    			=      n_draws * class_counts / class_counts.sum()
    # floored means we don't overshoot n_samples, but probably undershoot
    lowerCAmelCase				:			Tuple    			=      np.floor(_UpperCAmelCase				)
    # we add samples according to how much "left over" probability
    # they had, until we arrive at n_samples
    lowerCAmelCase				:			Any    			=      int(n_draws - floored.sum()				)
    if need_to_add > 0:
        lowerCAmelCase				:			Union[str, Any]    			=      continuous - floored
        lowerCAmelCase				:			Dict    			=      np.sort(np.unique(_UpperCAmelCase				)				)[::-1]
        # add according to remainder, but break ties
        # randomly to avoid biases
        for value in values:
            ((lowerCAmelCase)			,  )				:			Any    			=      np.where(remainder == value				)
            # if we need_to_add less than what's in inds
            # we draw randomly from them.
            # if we need to add more, we add them all and
            # go to the next value
            lowerCAmelCase				:			Union[str, Any]    			=      min(len(_UpperCAmelCase				),      _UpperCAmelCase				)
            lowerCAmelCase				:			Optional[Any]    			=      rng.choice(_UpperCAmelCase,      size=_UpperCAmelCase,      replace=_UpperCAmelCase				)
            floored[inds] += 1
            need_to_add -= add_now
            if need_to_add == 0:
                break
    return floored.astype(np.intaa				)






def 		SCREAMING_SNAKE_CASE__				(							_UpperCAmelCase,      _UpperCAmelCase,      _UpperCAmelCase,      _UpperCAmelCase,      _UpperCAmelCase=10				)					-> Optional[int]:



    '''simple docstring'''






    lowerCAmelCase			,  lowerCAmelCase				:			Tuple    			=      np.unique(_UpperCAmelCase,      return_inverse=_UpperCAmelCase				)
    lowerCAmelCase				:			Dict    			=      classes.shape[0]
    lowerCAmelCase				:			Union[str, Any]    			=      np.bincount(_UpperCAmelCase				)
    if np.min(_UpperCAmelCase				) < 2:
        raise ValueError('Minimum class count error'				)
    if n_train < n_classes:
        raise ValueError(
            'The train_size = %d should be greater or ' 'equal to the number of classes = %d' % (n_train, n_classes)				)
    if n_test < n_classes:
        raise ValueError(
            'The test_size = %d should be greater or ' 'equal to the number of classes = %d' % (n_test, n_classes)				)
    lowerCAmelCase				:			Any    			=      np.split(np.argsort(_UpperCAmelCase,      kind='mergesort'				),      np.cumsum(_UpperCAmelCase				)[:-1]				)
    for _ in range(_UpperCAmelCase				):
        lowerCAmelCase				:			Tuple    			=      approximate_mode(_UpperCAmelCase,      _UpperCAmelCase,      _UpperCAmelCase				)
        lowerCAmelCase				:			Optional[Any]    			=      class_counts - n_i
        lowerCAmelCase				:			Any    			=      approximate_mode(_UpperCAmelCase,      _UpperCAmelCase,      _UpperCAmelCase				)

        lowerCAmelCase				:			Optional[int]    			=      []
        lowerCAmelCase				:			Union[str, Any]    			=      []

        for i in range(_UpperCAmelCase				):
            lowerCAmelCase				:			List[str]    			=      rng.permutation(class_counts[i]				)
            lowerCAmelCase				:			Union[str, Any]    			=      class_indices[i].take(_UpperCAmelCase,      mode='clip'				)
            train.extend(perm_indices_class_i[: n_i[i]]				)
            test.extend(perm_indices_class_i[n_i[i] : n_i[i] + t_i[i]]				)
        lowerCAmelCase				:			Optional[Any]    			=      rng.permutation(_UpperCAmelCase				)
        lowerCAmelCase				:			Union[str, Any]    			=      rng.permutation(_UpperCAmelCase				)

        yield train, test








def 		SCREAMING_SNAKE_CASE__				(							_UpperCAmelCase,      _UpperCAmelCase,      _UpperCAmelCase,      _UpperCAmelCase,      _UpperCAmelCase,      _UpperCAmelCase,      )					-> tuple[list[list[int]], list[list[str]]]:



    '''simple docstring'''






    lowerCAmelCase				:			List[Any]    			=      list(_UpperCAmelCase				)
    lowerCAmelCase				:			Union[str, Any]    			=      list(_UpperCAmelCase				)
    lowerCAmelCase				:			Optional[int]    			=      len(_UpperCAmelCase				)
    lowerCAmelCase				:			List[Any]    			=      len(_UpperCAmelCase				)

    lowerCAmelCase				:			str    			=      [
        [0 for _ in range(len_destination_seq + 1				)] for _ in range(len_source_seq + 1				)
    ]
    lowerCAmelCase				:			str    			=      [
        ['0' for _ in range(len_destination_seq + 1				)] for _ in range(len_source_seq + 1				)
    ]

    for i in range(1,      len_source_seq + 1				):
        lowerCAmelCase				:			int    			=      i * delete_cost
        lowerCAmelCase				:			List[str]    			=      f"D{source_seq[i - 1]:c}"

    for i in range(1,      len_destination_seq + 1				):
        lowerCAmelCase				:			Tuple    			=      i * insert_cost
        lowerCAmelCase				:			Union[str, Any]    			=      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]:
                lowerCAmelCase				:			str    			=      costs[i - 1][j - 1] + copy_cost
                lowerCAmelCase				:			Tuple    			=      f"C{source_seq[i - 1]:c}"
            else:
                lowerCAmelCase				:			Optional[int]    			=      costs[i - 1][j - 1] + replace_cost
                lowerCAmelCase				:			Optional[int]    			=      f"R{source_seq[i - 1]:c}" + str(destination_seq[j - 1]				)

            if costs[i - 1][j] + delete_cost < costs[i][j]:
                lowerCAmelCase				:			List[str]    			=      costs[i - 1][j] + delete_cost
                lowerCAmelCase				:			Optional[int]    			=      f"D{source_seq[i - 1]:c}"

            if costs[i][j - 1] + insert_cost < costs[i][j]:
                lowerCAmelCase				:			Union[str, Any]    			=      costs[i][j - 1] + insert_cost
                lowerCAmelCase				:			str    			=      f"I{destination_seq[j - 1]:c}"

    return costs, ops
def 		SCREAMING_SNAKE_CASE__				(							_UpperCAmelCase,      _UpperCAmelCase,      _UpperCAmelCase				)					-> list[str]:



    '''simple docstring'''






    if i == 0 and j == 0:
        return []
    else:
        if ops[i][j][0] == "C" or ops[i][j][0] == "R":
            lowerCAmelCase				:			List[str]    			=      assemble_transformation(_UpperCAmelCase,      i - 1,      j - 1				)
            seq.append(ops[i][j]				)
            return seq
        elif ops[i][j][0] == "D":
            lowerCAmelCase				:			int    			=      assemble_transformation(_UpperCAmelCase,      i - 1,      _UpperCAmelCase				)
            seq.append(ops[i][j]				)
            return seq
        else:
            lowerCAmelCase				:			Tuple    			=      assemble_transformation(_UpperCAmelCase,      _UpperCAmelCase,      j - 1				)
            seq.append(ops[i][j]				)
            return seq


if __name__ == "__main__":
 __A     ,      __A   :     List[str]      =			compute_transform_tables('''Python''', '''Algorithms''', -1, 1, 2, 2)

 __A   :     Optional[int]      =			len(operations)
 __A   :     Optional[Any]      =			len(operations[0])
 __A   :     Any      =			assemble_transformation(operations, m - 1, n - 1)

 __A   :     int      =			list('''Python''')
 __A   :     Tuple      =			0
 __A   :     Tuple      =			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":
    __A   :     Any      =			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))





