this.props.match.path.split('/')[1] || 'home', currentPage: defaultCurrent, //当前页码 groupCount...分组开始页码 totalPage:total //总页数 } } createPage(pageCfg) { const {groupCount...this.state; const {currentPage, totalPage,startPage} = pageCfg; // const {currentPage,groupCount...={1} onClick={this.pageClick.bind(this, 1)}>1) let pageLength = 0; if (groupCount...+ startPage; } //前面省略号(当当前页码比分组的页码大时显示省略号) if (currentPage >= groupCount
, 5, 4, 36, 1, 8, 123, 453, 1008] length = len(inputArr) print("未排序集合:{0}".format(inputArr)) gap=1 groupCount...= length while(groupCount>=1): if(groupCount<length): for gapIndex in range(0, groupCount...[maxIndex] =\ inputArr[maxIndex], inputArr[maxIndex-1] # 最后一次分组合并排序时groupCount...一定为1，执行完此次排序后排序结束，break跳出while循环借宿排序 if(groupCount==1): break # 就近两个集合的元素个数 gap *...= 2 # 如果元素个数大于长度则设置为元素个数，避免gap>length gap=(gap if(gap<length) else length) groupCount=length
function minHeightDifference(arr,groupCount,tarrgetArr){ //doSomething } 在方法中每次取出源数组的第一个值，然后判断目标数组这个二维数组中哪个数组的和最小...temp+=this[i]; } } return temp; } } function minHeightDifference(arr,groupCount...tarrgetArr){ groupArr = Array.apply(null,new Array(groupCount)).map((item)=>0) //初始调用无需填写目标数组...，创建一个长度为groupCount的全为0的空数组 }else{ groupArr = tarrgetArr } var tempArr =[];...tarrgetArr){ groupArr = Array.apply(null,new Array(groupCount)).map((item)=>0) }else{
String[] group(String input) { Matcher matcher = pattern.matcher(input); if (matcher.matches()) { int groupCount...= matcher.groupCount(); String[] groups = new String[groupCount]; for (int i = 0; i < groupCount;
("m.group(2):"+m.group(2)); //打印组2 System.out.println(); } System.out.println("捕获个数:groupCount...()="+m.groupCount()); } 输出： m.group():123,456 m.group(1):123, m.group(2):456 m.group():34,345 m.group...(1):34, m.group(2):345 捕获个数:groupCount()=2 "(\\d+,)(\\d+)"可以看成一个大组，上面的字符串 s 可以分为两个大组。...里面的两个小括号分别代表一个大组里面的小组，即groupCount=2。
Override public int run(String[] arg0) throws Exception { Job job=Job.getInstance(getConf(), "groupcount.../t_product_sales.txt"; args2[2]="hdfs://192.168.1.55:9000/groupcount-out"; args2[3]="...String[] args2=new String[4]; // args2[0]="ss"; // args2[1]="hdfs://192.168.1.55:9000/groupcount-in.../t_product_sales.txt"; // args2[2]="hdfs://192.168.1.55:9000/groupcount-out"; // args2[... gruopcount.OrderGroupCount /groupcount-in/t_product_sales.txt /ordergroupcount-out 2015-05
,e); } return 0; } @Override public List query(Condition condition...> grouyQuery(Condition c){ //封装结果集 List datas=new ArrayList(); //组装分组...groupCount=new GroupCount(); //设置x轴分组日期 groupCount.setGroupKey(b.getKey()); //设置指定分组条件下入库总量...(b.getDocCount()-bad_count); //计算成功率 groupCount.setSuccess_rate(groupCount.getTotal_store_count...()*1.0/groupCount.getTotal_count()); //添加到集合里面 datas.add(groupCount); }
true) var pageData = { ElementList: [], groupCount...res.data; var rowelementcount = pageData.rowElementCount var groupcount...rowelementcount)) + 1; pageData.groupCount...= groupcount; var MainHtml = ""; for (var i = 0; i "; for (var j = 0; j < rowelementcount && i * groupcount
//for each setup thread group AbstractThreadGroup group = setupIter.next(); groupCount..., groupName); startThreadGroup(group, groupCount, setupSearcher, testLevelElements, notifier...++; String groupName = group.getName(); log.info("Starting ThreadGroup: {} : {}", groupCount..., groupName); startThreadGroup(group, groupCount, searcher, testLevelElements, notifier);..., groupName); startThreadGroup(group, groupCount, postSearcher, testLevelElements, notifier
453 ''' length=len(inputArr) sortArr=[None]*length groupArr=[] # 根据无序数组大小分割成一次内存能容下的元素个数 count=4 groupCount...=length//count if(length%count==0) else length//count+1 for nIndex in range(0,groupCount): nStratIndex...index -= 1 sortIndex=0 while sortIndex<length: minGroupIndex=0 for groupIndex in range(1,groupCount...minGroupIndex][0]>groupArr[minGroupIndex][1]): groupArr.remove(groupArr[minGroupIndex]) groupCount
.length]; int groupNum = groupMatrix(grayMatrix, groupNums); // 判断聚合性 // 统计每个分组下的像素数 int[] groupCount...= new int[groupNum]; for(int i = 0; i < height; i++){ for(int j = 0; j < width; j++){ groupCount...} } // 阈值 int threshold = width * height / 100; for(int i = 0; i < groupNum; i++){ if(groupCount...[i] < threshold){ // 0表示非聚合 groupCount[i] = 0; } else{ // 1表示聚合 groupCount[i] =...} for(int i = 0; i < height; i++){ for(int j = 0; j < width; j++){ groupNums[i][j] = groupCount
例如，在表达式（（A）（B（C））），有四个这样的组： ((A)(B(C))) (A) (B(C)) (C) 可以通过调用 matcher 对象的 groupCount 方法来查看表达式有多少个分组。...groupCount 方法返回一个 int 值，表示matcher对象当前有多个捕获组。 还有一个特殊的组（group(0)），它总是代表整个表达式。该组不包括在 groupCount 的返回值中。...PATTERN.matcher(content); if (matcher.find()) { for (int i = 0; i <= matcher.groupCount...找到所有匹配字符串 while (matcher.find()) { // 输出所有的匹配组 for (int i = 0; i <= matcher.groupCount
0; Array.Sort(nums); // Array.Sort(array, (x, y) => -x.CompareTo(y)); var groupCount...{ if (nums[a] + nums[b] > nums[c]) { groupCount...} else a++; } } return groupCount
++; String groupName = group.getName(); log.info("Starting setUp ThreadGroup: " + groupCount...+ " : " + groupName); startThreadGroup(group, groupCount, setupSearcher, testLevelElements,...++; String groupName = group.getName(); log.info("Starting ThreadGroup: " + groupCount + " :..." + groupName); startThreadGroup(group, groupCount, searcher, testLevelElements, notifier); if...+ " : " + groupName); startThreadGroup(group, groupCount, postSearcher, testLevelElements, notifier
setupThreadGroup { self.groupSize = MTLSizeMake(16, 16, 1); // 太大某些GPU不支持，太小效率低； //保证每个像素都有处理到 _groupCount.width...= (self.sourceTexture.width + self.groupSize.width - 1) / self.groupSize.width; _groupCount.height...= (self.sourceTexture.height + self.groupSize.height - 1) / self.groupSize.height; _groupCount.depth...= 1; // 我们是2D纹理，深度设为1 } 这里设置的是计算管道中每次处理的大小groupSize，size不能太大会导致某些GPU不支持，而太小则效率会低；groupCount是计算的次数，需要保证足够大...LYFragmentTextureIndexTextureDest]; // 计算区域 [computeEncoder dispatchThreadgroups:self.groupCount
maxHeight+maxFlop)/(3f*typeSize));// 求得每种种类的个数 System.out.println("每种组数："+groupNumber); int groupCount...= groupNumber*3; System.out.println("每种总数："+groupCount); System.out.println("共计数量："+...(typeSize*groupCount+maxFlop)); // 绘制卡槽 int initX = 100; int initY = 50;...BufferedImage bufferedImage = ImageIO.read(ReadResourceUtil.getUri("/"+temp)); int count = groupCount
final Aggregate aggregate = call.rel(0); final RelNode input = call.rel(1); final int groupCount = aggregate.getGroupCount...key, constants.get(ref)); } } if (map.isEmpty()) { //如果groupBy引用的字段，都不是常量，则退出优化 return; } if (groupCount...移除第一个元素在这里不是最优的，不过，它将允许我们使用下面的快速路径（只需修剪groupCount）。 创建上拉的Aggregate聚合操作，移除聚合中使用的常量。...newAggCalls.add( aggCall.adaptTo(input, aggCall.getArgList(), aggCall.filterArg, groupCount...aggregate.getRowType().getFieldList()) {//遍历聚合的字段列表 RexNode expr; final int i = field.getIndex(); if (i >= groupCount
2015-05%' GROUP BY salesman ORDER BY totalmoney DESC; 将数据从mysql中导出，并且导出成文本，文本数据，将导出的文本上传到hdfs中，放在根据经下的groupcount-in...在Eclipse创建项目，编写一个GroupCount类，下面是类代码： GroupCount.java此类将数据提取出来，然后按销售员分组输出 package gruopcount; import...Override public int run(String[] arg0) throws Exception { Job job=Job.getInstance(getConf(), "groupcount... String[] args2=new String[4]; args2[0]="ss"; args2[1]="hdfs://192.168.1.55:9000/groupcount-in.../t_product_sales.txt"; args2[2]="hdfs://192.168.1.55:9000/groupcount-out"; args2[3]="
+= 6; } } scope.addGroup(groupStart, groupCount, inside === true ?...0 : 1); groupStart += groupCount; } function generateTorsoSide(sideLeft) { var groupCount...+= 6; scope.addGroup(groupStart, groupCount, sideLeft === true ?...4 : 5); groupStart += groupCount; } function generateCap(top) { var x, centerIndexStart,...+= 6; } } scope.addGroup(groupStart, groupCount, top === true ?
groupWidthFraction = 0.75; const barWidthFraction = 0.9; final groupRanks = _selectRanks(random, 5); final groupCount...= groupRanks.length; final groupDistance = size.width / (1+groupCount); final groupWidth = groupDistance...groupWidth / barCount; final barWidth = barDistance * barWidthFraction; final groups = new List.generate( groupCount
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