Created
February 28, 2019 01:11
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import numpy as np | |
O = str(input()) | |
tamanho_da_matriz = 12 | |
# Cria uma matriz de zeros | |
matriz = np.zeros((tamanho_da_matriz, tamanho_da_matriz)) | |
# Preenche a matriz | |
for linha in range(tamanho_da_matriz): | |
for coluna in range(tamanho_da_matriz): | |
matriz[linha][coluna] = np.random.random() # float(input()) | |
coluna_inicio = int(tamanho_da_matriz/2) - 1 | |
coluna_fim = int(tamanho_da_matriz/2) | |
linha_inicio = int(tamanho_da_matriz/2) + 1 | |
valores = [] | |
# Percorre a parte inferior da matriz, adicionando os valores a um array. | |
for linha in range(linha_inicio, tamanho_da_matriz): | |
for coluna in range(coluna_inicio, coluna_fim): | |
valores.append(matriz[linha, coluna]) | |
coluna_inicio -= 1 | |
coluna_fim += 1 | |
valores_np = np.array(valores) | |
if O == "S": | |
print(np.sum(valores_np)) | |
else: | |
print(np.average(valores_np)) |
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