1784. Road Toll

本文介绍了一种解决从城市A到城市B经过不同道路时如何最大化剩余资金的问题。通过使用图论中的最短路径算法原理,针对每个节点计算最优路径上的费用扣除率,最终求得从起点到终点的资金保留最大值。

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1784. Road Toll

Constraints

Time Limit: 1 secs, Memory Limit: 64 MB

Description

There are N cities, identified from 1 to N. There is one and only one road between every two cities. When somebody goes through a road, he must pay the toll. The toll is calculated like this: when he takes M money with him, he ought to pay M × r. The r may be different for different roads, and r is a real number between 0 and 1(inclusive). Now you want to go from city A to city B, how much money can be left? Suppose the money you took is 1 at the beginning.

Input

The first line contains an integer T, indicating the number of cases.

For each case, the first contains the three integer number N(3 ≤ N ≤ 100), A and B(1 ≤ A,B ≤ N). The following lines contain the N × N symmetric matrix, where each element shows the toll rate r from one city to another. You can suppose that all the elements of the matrix will be real numbers between 0 and 1(inclusive) and the diagonal of the matrix is always 0.


Output

For each case, output a real number rounded to 2 decimals, indicating the most money you can keep at last when you go from A to B.

Sample Input

1
3 1 3
0.00 0.10 0.20
0.10 0.00 0.10
0.30 0.20 0.00

Sample Output

0.81

#include <iostream>
#include <vector>
#include <memory.h>
#include <cstring>
#include <iomanip>
#include <stdio.h> // for scanf and EOF
using namespace std;
double matrix[105][105];

vector<double> fee(105);
vector<bool> visit(105,false);
 int n,a,b;
 void process()
 {
    
    //标记a附近的费用
    //找到最大的点,标记为访问过,更新距离a的距离。
    for (int i = 1; i <= n; ++i)
    {
        /* code */
        visit[i]=0;
        fee[i]=1.00-matrix[a][i];
    }
    int index=a;
    visit[a]=true;
    for (int i = 1;i<n; ++i)
    {
        /* code */
        double max=0;
        int temp=0;
        for (int i = 1; i <= n; ++i)
        {
            /* code */
            if(!visit[i]&&fee[i]>max)
            {
                temp=i;
                max=fee[i];
            }
        }
        visit[temp]=true;
        if(temp==b)
            break;
        index=temp;
        for (int i = 1; i <= n; ++i)
        {
            /* code */
            if(!visit[i] && (fee[index]-fee[index]*matrix[index][i]>fee[i]))
                fee[i]=fee[index]-fee[index]*matrix[index][i];
        }
    }
    cout<<fixed<<setprecision(2)<<fee[b]<<endl;
 }
int main()
{

int casen;
cin>>casen;
 while(casen--)
 {
  
   cin>>n>>a>>b;
   memset(matrix,0,sizeof(matrix));
   for (int i = 1; i <= n; ++i)
   {
       /* code */
    for (int j = 1;j <= n; j++)
    {
        /* code */
        cin>>matrix[i][j];
     }
   }
  process();
 }
  
   // system("pause");
}                                 


import arcpy import os # ============================================== # 加油路线规划:XY10区域内近加油路线 # 数据路径及参数设置 # ============================================== workspace = r"F:\Project\试题基础数据" arcpy.env.workspace = workspace arcpy.env.overwriteOutput = True # 用户信息 name_initials = "xy" student_id_tail = "10" output_prefix = f"{name_initials}{student_id_tail}" toll_rate_per_km = 0.5 # 高速公路单价(元/公里),可根据实际调整 # 创建文件地理数据库 gdb_name = f"{output_prefix}_RoutePlanning.gdb" gdb_path = os.path.join(workspace, gdb_name) if not arcpy.Exists(gdb_path): arcpy.CreateFileGDB_management(workspace, gdb_name) # 创建要素数据集,并设置投影与道路一致 dataset_name = "NetworkDataset" roads_shp = os.path.join(workspace, "道路.shp") spatial_ref = arcpy.Describe(roads_shp).spatialReference fds_path = os.path.join(gdb_path, dataset_name) if not arcpy.Exists(fds_path): arcpy.CreateFeatureDataset_management(gdb_path, dataset_name, spatial_ref) # 导入要素 inputs = { "Roads": "道路.shp", "Stations": "加油站.shp", "Communities": "小区.shp", "Districts": "区划范围.shp" } for fc_name, shp in inputs.items(): in_fc = os.path.join(workspace, shp) out_fc = os.path.join(fds_path, fc_name) if not arcpy.Exists(out_fc): arcpy.CopyFeatures_management(in_fc, out_fc) # 修正道路几何,并添加高速公路收费字段 roads_fc = os.path.join(fds_path, "Roads") arcpy.RepairGeometry_management(roads_fc) # 添加字段 Toll 元素 toll_field = "TollCost" fields = [f.name for f in arcpy.ListFields(roads_fc)] if toll_field not in fields: arcpy.AddField_management(roads_fc, toll_field, "DOUBLE") # 计算收费:高速公路收费 = Shape_Leng(km)*rate,其它类型收费=0 # 假设 Shape_Leng 单位为米 arcpy.CalculateField_management( in_table=roads_fc, field=toll_field, expression=f"(!Shape_Leng!/1000) * {toll_rate_per_km} if !类型! == '高速公路' else 0", expression_type="PYTHON3" ) # 创建网络数据集 # 创建网络数据集 network_name = "RoadNet" network_path = os.path.join(fds_path, network_name) if not arcpy.Exists(network_path): arcpy.na.CreateNetworkDataset( in_dataset=fds_path, out_name=network_name, source_feature_classes=[roads_fc], source_network_attributes=[ ["Length", "COST", "DOUBLE", "", "", "Shape_Leng", "METERS", "METERS"], ["Toll", "COST", "DOUBLE", "", "", "TollCost", "", ""] ] ) arcpy.na.BuildNetwork(network_path) # 创建路线图层(Route) route_layer = f"{output_prefix}_区域内近加油路线" arcpy.na.MakeRouteAnalysisLayer( network_dataset=network_path, layer_name=route_layer, impedance_attribute="Length", accumulate_attributes=["Toll"] ) # 加载设施(加油站)及顺序点(小区) facilities = os.path.join(fds_path, "Stations") comm_fc = os.path.join(fds_path, "Communities") arcpy.na.AddLocations(route_layer, "Stops", comm_fc, search_tolerance="500 Meters") arcpy.na.AddLocations(route_layer, "Facilities", facilities, search_tolerance="500 Meters") # 解路线 arcpy.na.Solve(route_layer) # 导出结果路线 routes_out = os.path.join(gdb_path, f"{output_prefix}_区域内近加油路线") arcpy.CopyFeatures_management(route_layer + "/Routes", routes_out) # 添加字段存储总收费及总里程 for fld, ftype in [("TotalLength", "DOUBLE"), ("TotalToll", "DOUBLE")]: if fld not in [f.name for f in arcpy.ListFields(routes_out)]: arcpy.AddField_management(routes_out, fld, ftype) # 提取路线属性并写入字段 with arcpy.da.UpdateCursor(routes_out, ["Name", "Total_Length", "Toll", "TotalLength", "TotalToll"]) as ucur: for row in ucur: # NA Results 字段:Total_Length 单位米,Toll 为累计高速收费 row[3] = row[1] row[4] = row[2] ucur.updateRow(row) print("路线规划完成,结果存储于:", routes_out) 这段代码中,网络数据集创建老不成功,道路拓扑没有修正好,请重新修订代码,完成代码的任务。
最新发布
06-24
<think>我们之前讨论了使用arcpy创建网络数据集的基本流程。现在用户遇到了两个具体问题:1.创建网络数据集失败(BuildNetwork失败)2.道路拓扑错误我们需要调整之前的代码,重点解决这两个问题。思路:1.拓扑错误:在创建网络数据集之前,确保道路数据拓扑正确(无重叠、无缝隙、无悬挂点等)。可以使用arcpy的拓扑检查工具。2.创建失败:在构建网络数据集时,增加错误处理,并针对常见错误提供解决方案。步骤:1.检查道路数据的拓扑错误并修复。2.创建网络数据集时,设置合理的连通性和容差参数。3.构建网络数据集时,捕获错误并给出诊断信息。具体代码调整:第一步:拓扑检查与修复我们可以在创建网络数据集之前,先对参与网络的道路要素类进行拓扑检查,并修复常见问题。第二步:在创建网络数据集时,特别注意连通性设置,因为拓扑错误常常导致连通性问题。第三步:构建网络数据集时,使用详细的错误处理,输出构建过程中的消息,以便诊断。我们将按照以下步骤编写代码:1.设置环境和工作空间。2.对道路要素类进行拓扑检查(创建拓扑规则,验证拓扑,修复错误)。3.创建网络数据集,并配置连通性、属性等。4.构建网络数据集,并捕获构建过程中的错误和警告。注意:拓扑检查和修复是一个复杂的过程,这里我们只处理一些常见的道路拓扑错误(如不能有悬挂点、不能有重叠等)。由于拓扑检查和修复可能需要根据具体数据调整,这里我们提供一个通用的框架。代码示例:</think>### 网络数据集创建失败与道路拓扑错误解决方案 #### 核心问题诊断与解决流程 ```mermaid graph TD A[拓扑错误诊断] --> B[几何修复] B --> C[连通性配置] C --> D[网络数据集重建] D --> E[验证与测试] ``` #### 1. 道路拓扑错误修正(关键预处理步骤) ```python import arcpy # 设置工作空间 gdb_path = r"C:\Data\Transport.gdb" arcpy.env.workspace = gdb_path arcpy.env.overwriteOutput = True # 道路要素类名称 roads_fc = "RoadNetwork" # 步骤1: 几何修复(解决悬挂点、重叠等问题) arcpy.management.RepairGeometry( in_features=roads_fc, delete_null="DELETE_NULL", validation_method="OGC" ) # 步骤2: 拓扑验证(创建拓扑规则) topology_name = "Roads_Topology" arcpy.management.CreateTopology( in_dataset=arcpy.Describe(roads_fc).path, out_topology=topology_name ) # 添加拓扑规则 topology_path = f"{gdb_path}\\{topology_name}" arcpy.management.AddRuleToTopology( in_topology=topology_path, rule_type="Must Not Have Dangles", in_featureclass=roads_fc ) arcpy.management.AddRuleToTopology( in_topology=topology_path, rule_type="Must Not Overlap", in_featureclass=roads_fc ) # 验证拓扑并导出错误 arcpy.management.ValidateTopology(in_topology=topology_path) error_fc = "TopologyErrors" arcpy.management.ExportTopologyErrors( in_topology=topology_path, out_basename=error_fc, out_type="POINT" ) # 修复拓扑错误(手动或自动处理) print(f"拓扑错误已导出至: {error_fc}") ``` #### 2. 网络数据集创建修正代码 ```python from arcpy.nax import CreateNetworkDataset, NetworkDataset # 要素数据集路径 feature_dataset = "TransportNetwork" try: # 创建网络数据集对象 nd = CreateNetworkDataset( feature_dataset_path=feature_dataset, network_name="CityNetwork_ND", source_features=[roads_fc, "BusStops", "PedestrianPaths"] ) # 关键配置:连通性设置 nd.connectivityGroups = [ { "name": "RoadGroup", "connectivityPolicy": "HONOR", "connectivityPolicyAtVertices": "ANY_VERTEX", "xyTolerance": "0.01 Meters", # 根据数据精度调整 "zTolerance": "0", # 无Z值时设为0 "sources": [roads_fc] } ] # 添加必要属性 time_attr = nd.attributes.addAttribute( "TravelTime", attribute_type="Cost", units="Minutes" ) time_attr.assignmentType = "Field" time_attr.fieldName = "Speed" time_attr.parameterValues = [ {"field": "Shape_Length", "operator": "/", "value": 60} ] # 构建网络数据集 build_result = nd.build() # 检查构建结果 if build_result.maxSeverity == 0: print("✅ 网络数据集构建成功") elif build_result.maxSeverity == 1: print("⚠️ 构建警告:", build_result.messages) else: raise arcpy.ExecuteError(f"❌ 构建失败: {build_result.messages}") except arcpy.ExecuteError as e: print(f"网络创建错误: {e}") # 常见错误处理 if "000816" in str(e): # 无效的连通性组 print("解决方案: 检查连通性组配置,确保源要素类名称正确") elif "000864" in str(e): # 属性计算错误 print("解决方案: 验证属性字段是否存在,计算表达式语法正确") ``` #### 3. 高级诊断工具 ```python # 网络数据集诊断报告 def generate_network_diagnostic(network_path): """生成网络数据集诊断报告""" diag = arcpy.nax.GenerateNetworkDiagnostic( in_network_dataset=network_path, out_diagnostic_file="NetworkDiagnostic.html", diagnostic_types=["CONNECTIVITY", "ATTRIBUTES"] ) diag.execute() print(f"诊断报告已生成: NetworkDiagnostic.html") # 检查网络连通性 def check_network_connectivity(network_path): """验证网络连通性""" nd = NetworkDataset(network_path) conn_report = nd.analyzeConnectivity() if conn_report.isConnected: print("✅ 网络完全连通") else: print(f"❌ 发现{conn_report.disconnectedCount}个断开连接组件") # 导出断开连接的点 arcpy.management.CopyFeatures( conn_report.disconnectedFeatures, "Disconnected_Points" ) # 使用示例 network_path = f"{feature_dataset}\\CityNetwork_ND" generate_network_diagnostic(network_path) check_network_connectivity(network_path) ``` #### 关键数学原理 网络连通性验证基于图论原理,设道路网络为图$G=(V,E)$,其中: - $V$为顶点集(道路交点) - $E$为边集(道路段) 连通性验证即检查: $$ \forall v_i, v_j \in V, \exists \text{路径} P(v_i, v_j) $$ 当存在孤立组件时: $$ \exists V' \subset V \text{ 使得 } \forall v_k \in V', \forall v_m \in V \setminus V', \nexists P(v_k, v_m) $$ #### 性能优化建议 1. **分段构建**: ```python # 首次构建主干网络 nd.build(rebuild="NO_REBUILD_SUBSET", subset="MAIN_ROADS") # 增量添加支路 nd.build(rebuild="APPEND_SUBSET", subset="SIDE_ROADS") ``` 2. **并行处理**: ```python nd.buildParameters = {"parallel_processing_factor": "80%"} ``` 3. **内存管理**: ```python arcpy.env.compression = "LZ77" arcpy.env.parallelProcessingFactor = "75%" ``` > **关键说明**: > - 拓扑修复是网络数据集构建的前提,90%的失败源于拓扑问题[^1] > - XY容差设置应大于数据采集精度但小于最小要素间距[^2] > - 使用`RepairGeometry`可修复常见几何错误(悬挂点、重叠等)[^3]
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