Question

我正在尝试使用pyDatalog来确定是否满足各种功能的依赖关系。某些库（lA，lB，...）提供功能（fX，fY，...）所需的输出（1,2，...）。

例如：

+has("lA", 1)   #Library A has output 1
+has("lA", 2)   #Library A has output 2
+has("lB", 2)   #Library B has output 2
+needs("fX", 1) #Feature X needs output 1
+needs("fX", 2) #Feature X needs output 2
+needs("fY", 2) #Feature Y needs output 2

使用pyDatalog图表教程我可以找到至少提供功能所需输出之一的库：

lib_supports_feature(X, Z) <= has(X, Y) & needs(Z, Y)
lib_supports_feature(X,"fX")

返回：[（'lA'，），（'lB'，）]因为它只是找到任何至少有一个特征路径的库。

使用pyDatalog有没有一种方法只返回满足所有需要的库？

Answer 1

你需要使用双重否定：

missing(X,Y,Z) <= ( # Y is a missing output of X, and is needed by Z
               needs(Z, Y) 
               & has(X, Y1) # needed only if X is not bound
               & ~ has(X, Y))

lib_full_supports_feature(X,Z) <= ( # like supports, but there is no missing output
               has(X,Y) 
               & needs(Z,Y) 
               & ~ missing(X, Y1, Z))

Answer 2

您可以计算supported_and_needed功能的数量，并将其与所需功能的数量进行比较。如果它们相同，则满足所有功能需求。

(lib_num_supported_and_needed_features[X, Z] == len_(Y)) <= (has(X, Y) & needs(Z, Y))
(num_needed_features[Z] == len_(Y)) <= (needs(Z, Y))
lib_full_supports_features(X, Z) <= (num_needed_features[Z] == lib_num_supported_and_needed_features[X, Z])

pyDatalog可用于检查是否满足所有数据依赖性？

2 个答案: