code=2, address以100开头

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void read_hex_file_b2() { dword i; char LineBuffer[0xFF]; int ByteCount; char CountAscii[5]; char hexdump[72]; int Data; char Ascii[5]; dword readaccess = 0; dword writeaccess = 0; qword bufferpointer = 0; word F_address = 0; word S_address = 0; qword n_data = 0; dword debug_flag = 0; char header_address; byte flag_header_address=1; word n_header=0; readaccess = OpenFileRead ("./TELEMATICS/Code/OG_CM3580_PA3_T.hex",0); //writeaccess = openFileWrite ("./TELEMATICS/Code/HEX_DATA.txt",1); idx_block = 0; /* --> identified as IntelHEX-Input */ if (readaccess != 0) { n_data = 0; /* read line until cr+lf */ while (fileGetString(LineBuffer, elcount(LineBuffer), readaccess) != 0) { header_address = LineBuffer[9] | LineBuffer[10] | LineBuffer[11] | LineBuffer[12]; if (LineBuffer[0] == ':' && LineBuffer[7] == '0' && LineBuffer[8] == '4') { if (flag_header_address == 1) { // extract ByteCount parameter strncpy(CountAscii, "0x", elcount(CountAscii)); substr_cpy_off(CountAscii, 2, LineBuffer, 1, 2, elcount(CountAscii)); ByteCount = atol(CountAscii); // extract Data parameter S_address = 0; for (i = 0; i < ByteCount; i++) { strncpy(Ascii, "0x", elcount(Ascii)); substr_cpy_off(Ascii, 2, LineBuffer, 9+i*2, 2, elcount(Ascii)); S_address = (S_address << 8*i) | atol(Ascii); } F_address = S_address; bufferpointer = 0; flag_header_address = 0; } else { flag_header_address = 2; // extract ByteCount parameter strncpy(CountAscii, "0x", elcount(CountAscii)); substr_cpy_off(CountAscii, 2, LineBuffer, 1, 2, elcount(CountAscii)); ByteCount = atol(CountAscii); // extract Data parameter S_address = 0; for (i = 0; i < ByteCount; i++)
04-01
MongoDB: 在数据库的test集合中的文档结构示例数据如下: { "name": "Morris Park Bake Shop", //餐馆名称 "restaurant_id": "30075445" //餐馆id "address": { //餐馆地址 "building": "1007", //建筑编号 "coord": [ //位置坐标 -73.856077, 40.848447 ], "street": "Morris Park Ave", //街道 "zipcode": "10462" //邮编 }, "borough": "Bronx", //所在行政区域 "cuisine": "Bakery", //菜系 "grades": [ //评价 { "date": { //评价日期 "$date": 1393804800000 }, "grade": "A", //等级 "score": 2 //分数 }, ... ], } 在右侧代码行 Begin-End 中编辑脚本,完成以下任务: 查询同时满足以下条件的餐厅: 菜系为 "American" 至少有 1 条评分分数 ≥12 地址邮编以 "100" 开头 按照邮编升序排列、返回前 5 条结果(包含 name, borough, zipcode) 中餐馆:cuisine:"Chinese" ####测试说明 操作完之后点击评测,我会对你的操作进行测试,如果操作正确,我会输出如 测试集所示的结果。 测试集:{ "address" : { "zipcode" : "10000" }, "borough" : "Manhattan", "name" : "Relish Concessions & Event Catering" } { "address" : { "zipcode" : "10001" }, "borough" : "Manhattan", "name" : "The Greek Corner" } { "address" : { "zipcode" : "10001" }, "borough" : "Manhattan", "name" : "Fit Cafeteria (Building A)" } { "address" : { "zipcode" : "10001" }, "borough" : "Manhattan", "name" : "Niles Restaurant" } { "address" : { "zipcode" : "10001" }, "borough" : "Manhattan", "name" : "T.G.I. Friday'S" }
最新发布
06-28
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