@@ -19,8 +19,9 @@ Waiting
1919### API使用示例
2020
2121``` java
22+ package zhao.algorithmMagic ;
2223import zhao.algorithmMagic.Integrator.Route2DDrawingIntegrator ;
23- import zhao.algorithmMagic.algorithm.generatingAlgorithm.ZhaoCoordinatenet2D ;
24+ import zhao.algorithmMagic.algorithm.generatingAlgorithm.ZhaoCoordinateNet2D ;
2425import zhao.algorithmMagic.operands.coordinate.DoubleCoordinateTwo ;
2526import zhao.algorithmMagic.operands.route.DoubleConsanguinityRoute2D ;
2627
@@ -37,7 +38,7 @@ public class MAIN1 {
3738 DoubleCoordinateTwo Z = new DoubleCoordinateTwo (1 , 21 );
3839
3940 // 获取关系网络,该算法是我实现出来,用于推断人员关系网的,这里的名称您可以自定义,需要注意的是下面集成器的实例化需要您将该名称传进去
40- ZhaoCoordinatenet2D zhaoCoordinateNet = ZhaoCoordinatenet2D . getInstance(" Z" );
41+ ZhaoCoordinateNet2D zhaoCoordinateNet = ZhaoCoordinateNet2D . getInstance(" Z" );
4142 zhaoCoordinateNet. addRoute(DoubleConsanguinityRoute2D . parse(" A -> B" , A , B )); // Representing A takes the initiative to know B
4243 zhaoCoordinateNet. addRoute(DoubleConsanguinityRoute2D . parse(" A -> C" , A , C ));
4344 zhaoCoordinateNet. addRoute(DoubleConsanguinityRoute2D . parse(" E -> Z" , E , Z ));
@@ -64,7 +65,7 @@ public class MAIN1 {
6465```
6566
6667- 运行之后产生的关系网络图片
67- ![ image] ( https://user-images.githubusercontent.com/113756063/195981317-e40194a8-474a-4de7-9bfd-84ac40b66d15 .png )
68+ ![ image] (( https://user-images.githubusercontent.com/113756063/196412140-8b81979d-ecc1-4774-9cbe-df8a89c19c1c .png )
6869
6970### KnowledgeDocument
7071
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