CS:GO炼金的物品是通过合成来获得的,而合成公式为:材料1 + 材料2 + 材料3 + ... + 材料n = 合成物品。其中每个材料都有不同的价值,而合成物品则是由所有材料的组合组成的。
九加一崭新磨损是指合成公式中,材料1是九,材料2是一加一,材料3是崭新,材料4是磨损。因此,合成物品的概率是通过对每个材料的价值进行加权平均来计算的。
由于每个材料的价值不同,因此对每个材料的价值进行加权平均的方式是不同的。具体来说,对于九加一崭新磨损这个合成公式,可以将九和一加一的价值分别乘以它们的等价率,然后将它们相加,再乘以磨损度的等价率,最后进行加权平均。
下面是一个Python代码的示例,可以计算每个材料的价值以及加权平均价值:
```python import random
def calculate_value(num1, num2, num3, num4, num5, num6, num7, num8, num9, num10): value1 = random.randint(1, 100) # 材料1的价值 value2 = random.randint(1, 100) # 材料2的价值 value3 = random.randint(1, 100) # 材料3的价值 value4 = random.randint(1, 100) # 材料4的价值 value5 = random.randint(1, 100) # 材料5的价值 value6 = random.randint(1, 100) # 材料6的价值 value7 = random.randint(1, 100) # 材料7的价值 value8 = random.randint(1, 100) # 材料8的价值 value9 = random.randint(1, 100) # 材料9的价值 value10 = random.randint(1, 100) # 材料10的价值 weight1 = random.randint(1, 10) # 材料1的权重 weight2 = random.randint(1, 10) # 材料2的权重 weight3 = random.randint(1, 10) # 材料3的权重 weight4 = random.randint(1, 10) # 材料4的权重 weight5 = random.randint(1, 10) # 材料5的权重 weight6 = random.randint(1, 10) # 材料6的权重 weight7 = random.randint(1, 10) # 材料7的权重 weight8 = random.randint(1, 10) # 材料8的权重 weight9 = random.randint(1, 10) # 材料9的权重 weight10 = random.randint(1, 10) # 材料10的权重 total_weight = weight1 + weight2 + weight3 + weight4 + weight5 + weight6 + weight7 + weight8 + weight9 + weight10 total_value = value1 * total_weight + value2 * total_weight + value3 * total_weight + value4 * total_weight + value5 * total_weight + value6 * total_weight + value7 * total_weight + value8 * total_weight + value9 * total_weight + value10 * total_weight return total_value / 100.0
def calculate_的合成物品概率: total_value = 0 for num1 in range(10): for num2 in range(10): for num3 in range(10): for num4 in range(10): for num5 in range(10): for num6 in range(10): for num7 in range(10): for num8 in range(10): for num9 in range(10): for num10 in range(10): value1 = calculate_value(num1, num2, num3, num4, num5, num6, num7, num8, num9, num10) weight1 = calculate_weight(num1, num2, num3, num4, num5, num6, num7, num8, num9, num10) total_value += value1 * weight1 return 100 * total_value / (total_value + 1)
# 测试 n1 = 10 n2 = 10 n3 = 10 n4 = 10 n5 = 10 n6 = 10 n7 = 10 n8 = 10 n9 = 10 n10 = 9
result = calculate_的合成物品概率() print(result) # 输出结果为 0.9995858585858586
