Data rooms: let your business be successful | data room

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基于数据的动态转换过滤器

这里直接使用 Vue作为例子,我们通过模拟一个不断有新数据产生的实时数据集,然后我们需要通过一个过滤参数将过滤后的数据展示出来。

<template>
    <div class="userinfo">
        <div>
        <label for="type">Type Filter: </label>
        <select name="type" id="type" v-model="typeFilter">
            <option value="none">None</option>
            <option v-for="type in typesSet" :value="type" :key="type">{{type}}</option>
        </select>
        <ul>
            <li v-for="item in filteredtypeDataset" :key="item.timestamp">Timestamp: {{item.timestamp}} - Type: {{item.type}} - Value: {{item.value}}</li>
        </ul>
        </div>
    </div>
</template>

“`vue.js
<script>
export default {
name: 'Userinfo',
data() {
return {
dataset: [],
typeFilter: 'none',
typesSet: [ 'nini', 'honghong', 'mingming' ],
};
},
props: [],
components: {},
computed: {
filteredtypeDataset() {
if (this.typeFilter === 'none') {
return this.dataset
}
return this.dataset.filter(item => item.type === this.typeFilter)
}
},
created() {},
methods: {
},
mounted() {
// 模拟流式数据集
setInterval(() => {
const randomType = this.typesSet[Math.round(Math.random() * (this.typesSet.length – 1))]
this.dataset.push({
type: randomType,
timestamp: Date.now(),
value: Math.random().toString(32).substr(2)
})
}, 1e3)
}
};
</script>

<pre><code class="line-numbers">进行构建的数据应用中,也是根据这个 typeSet 来提前生成了一个用于过滤数据的过滤器。

但有的时候前端的数据应用并不知道来自其他数据服务的数据内容究竟有哪些过滤项,那么我们便需要根据数据应用所得到的实际数据来生成过滤器。
“`js

methods: {
mockDataSource(typesSet) {
const dataset = [];
const timer = setInterval(() =&gt; {
const randomType = typesSet[Math.round(Math.random() * (typesSet.length – 1))]
dataset.push({
type: randomType,
timestamp: Date.now(),
value: Math.random().toString(32).substr(2)
})
}, 1e3)
return { dataset, stop() {
clearInterval(timer)
}
}
}
},
mounted() {
// 模拟流式数据集
setInterval(() =&gt; {
const dataSource = this.mockDataSource(Array(10).fill(1).map((_, i) =&gt; `type${i + 1}`)).dataset.type
this.dataset.push({
type: dataSource,
timestamp: Date.now(),
value: Math.random().toString(32).substr(2)
})
}, 1e3)
}

这段代码中我们模拟了一个包含多种可过滤数据type的流式数据集,且该数据集过滤字段内容是“不可预知”的。

数据处理 · 初步的认识关系图(三)

此篇讲一下关系图片中的特征和有向图
一、 关系图特征值

1.最大的度(Max Degree)

在关系图谱中每一个顶点的度是图论算法中非常重要的计算对象。如果某一个节点的度最大,则说明他很有可能是这个关系图中的核心点。

寻找一个关系图谱中带有最大度数的顶点并不困难,只需全部先计算出所有顶点的度,然后找出最大数即可。

当然,光是找出最大的度可不能满足算法的需要。除了找出最大的度数以外,自然还需要知道是哪一个顶点具有最大的度数。所以我们需要准备两个函数,一个用于找出带有最大度数的顶点,而另外一个则用于获取其度数。

//Graph是总的关系图类
class Graph { 
    // ... 
    largestVertex() { 
        const self = this 
        const degrees = self.vertexIds.map(function(vertexId) { 
            return { 
                degree: self.degree(vertexId), id: vertexId 
            } 
        }) 
        return self.getVertex(_.maxBy(degrees, 'degree').id) 
    } 
    maxDegree() { 
        return this.degree(this.largestVertex().id) 
    } 
} 
const vertices = [ 
    new Vertex(1, 'A'), 
    new Vertex(2, 'B'), 
    new Vertex(3, 'C'), 
    new Vertex(4, 'D'), 
    new Vertex(5, 'E') 
    ] 
const edges = [ 
    new Edge(1, 2, 1), 
    new Edge(1, 3, 2), 
    new Edge(2, 4, 1), 
    new Edge(3, 4, 1), 
    new Edge(1, 4, 2), 
    new Edge(4, 5, 3) 
    ] 
const graph = new Graph(vertices, edges) console.log(graph.largestVertex().property) //=> D 
console.log(graph.maxDegree()) //=> 4 

2、自环(Self-Loop)

自环是一种十分抽象的概念,其定义是在一个关系图谱内,某一个顶点存在一条边再与自己相连。我们可以将一个关系图谱中的每一个顶点看作是事件序列中的某一个事件,顶点间的边则表示多种情况下事件之间的连续关系。那么在这种场景下,顶点的自环就可以被解释为某一个事件的连续发生可能性。

在多种事件顺序发生的可能性中,如果某一个事件的连续发生次数(我们可以使用边的属性值表示)越多,则表示该事件的重要性越强。这种概念在一些对用户行为进行分析的应用中十分重要。

而找到自环的边的方法也非常简单,只需要找到那些左右顶点相同的边即可。

class Graph { 
    // ... 
    loops() { 
        const self = this 
        return self.edgeIds 
            .map(function(edgeId) { 
                return self.edges[edgeId] 
            }) 
            .filter(function(edge) { 
                return edge.leftId === edge.rightId 
            }) 
        } 
    } 
    const vertices = [ 
        new Vertex(1, '1'), 
        new Vertex(2, '2'), 
        new Vertex(3, '3') 
        ] 
    const edges = [ 
        new Edge(1, 1, 3), 
        new Edge(1, 2, 1), 
        new Edge(1, 3, 1), 
        new Edge(2, 3, 2) 
        ] 
    const graph = new Graph(vertices, edges) 
    console.log(graph.loops()) //=> [ Edge{ leftId: 1, rightId: 1, property: 3 } ] 

二、有向图

有向图是从原本的一条边即代表两个顶点共同拥有一个平等的关系,变成允许顶点之间存在单向的关系。就好像我们在人际社交中,朋友之间互相认识所以我们是平等的,但是我们也有很多我们只认识他们,他们却不认识我们的人

  1. 有向边

因为我们前面第一篇所定义的边是不存在方向特性的,所以我们直接使用了 leftId 和 rightId 来存储与边相连的两个顶点的信息。而有向图的边是带有方向特征的,虽然我们也可以像数学一样定义一个向量的表达方式就是从左到右的(如 ),直接使用前面所定义的边来表示有向边,但是我们还是需要另外定义一个有向边类型以使用。

class DirectedEdge { 
    constructor(originalId, targetId, property) { 
    this.originalId = originalId 
    this.targetId = targetId 
    this.property = property 
    } 
} 
  1. 有向图 Digraph

因为使用的边不再是无方向特性的边,所以之前所定义的其实是无向图类型,不能直接当做有向图使用了。有向图和无向图最大的区别就是顶点之间从平行的关系变成了有出或入的单边关系。出则代表着某一个顶点存在一个单向的关系指向另外一个顶点,而入则表示某一个顶点被另外一个顶点所指向。

那么前面使用 edgeRelations 来存储顶点与边的关系时则需要加以改动了,我们可以简单地分开 inEdgeRelations 和 outEdgeRelations 来分别存储顶点与入边、出边的关系。

class Digraph { 
    constructor(vertices, edges) { 
        // Vertices 
        this.vertexIds = [];
        this.vertices = {};
        for (let i = 0; i < vertices.length; ++i) { 
            const vertex = vertices[i];
            this.vertexIds.push(vertex.id); 
            this.vertices[vertex.id] = vertex;
        } 
        const edgesWithId = edges.map(function(edge, i) { 
            edge.id = i + 1; 
            return edge; 
        }) 
        // Edges 
        this.edgeIds = []; 
        this.edges = {}; 
        this.inEdgeRelations = {}; 
        this.outEdgeRelations = {}; 
        for (let i = 0; i < edgesWithId.length; ++i) { 
            const edge = edgesWithId[i]; 
            this.edgeIds.push(edge.id);
            this.edges[edge.id] = edge;
            if (typeof this.outEdgeRelations[edge.originalId] === 'undefined') {                 this.outEdgeRelations[edge.originalId] = []; 
            } 
            if (typeof this.inEdgeRelations[edge.targetId] === 'undefined') {                    this.inEdgeRelations[edge.targetId] = []; 
            }                                                                               this.inEdgeRelations[edge.targetId].push(edge.id)                                this.outEdgeRelations[edge.originalId].push(edge.id) 
        } 
    } 
} 

总结:关系图谱在社会人际关系也可以体现出来,可以分为有向图,无向图,实际例子可以举例说明,可能更加清楚关系图谱。

数据处理 · 初步的认识关系图(二)

标签(空格分隔): 关系图


操作图形
在上一篇《数据处理 · 初步的认识关系图》中完成了关系图谱的建立后,然后要将其运用起来以配合算法来解决一些我们所面临的问题。但在实现算法之前我们需要先为关系图谱定义一些操作方法,如获取某一个顶点、遍历所有顶点、遍历所有边等。

1、获取某一个顶点

在上一篇《数据处理 · 初步的认识关系图》中关系图类中使用了 vertexIds 存储顶点的标识符和使用 vertices 来存储顶点对象。那么要获取图形中的某一个顶点,首先要确保在 vertexIds 中存在该节点标识符,否则就直接返回 null。然后再从 vertices 中获取该节点的实例对象以返回。

//Graph是总的关系图类
class Graph { // ... 
    getVertex(vertexId) { 
        if (!_.includes(this.vertexIds, vertexId)) { 
            return null 
        } 
        return this.vertices[vertexId] 
    } 
} 

2、遍历顶点/边

虽然在 JavaScript 中默认所使用的数组都是自带有序特性的,但在关系图谱的定义中,顶点之间并不存在顺序。所以不会允许对图的对象中的顶点进行直接的循环操作,而采用回调函数的方式进行循环遍历。

class Graph { // ... 
    //点
    eachVertices(callbackFunc) { 
        const self = this 
        return self.vertexIds.forEach(function(vertexId) { 
            return callbackFunc(self.vertices[vertexId]) 
        }) 
    } 
    //边
    eachEdges(callbackFunc) { 
        const self = this 
        return self.edgeIds.forEach(function(edgeId) { 
            return callbackFunc(self.edges[edgeId]) 
        }) 
    } 
} 

3、Degree

Degree 在树形结构的节点中表示的是某一个节点的子节点数量,而因为在关系图中的顶点并不存在“子节点”或“子顶点”的概念,取而代之的则是相邻顶点。而相邻顶点的数量就等于与该顶点相连的边的数量。那么要获取相邻边的数量则首先需要定义一个方法以传入顶点标识符并得到相邻边数组。

class Graph { 
    // ... 
    getEdgesByVertexId(vertexId) { 
        if (!_.includes(this.vertexIds, vertexId)) { 
            return [] 
        } 
        if (!_.has(this.edgeRelations, vertexId)) { 
            return [] 
        } 
        const self = this 
        return self.edgeRelations[vertexId].map(function(edgeId) { 
            return self.edges[edgeId] 
        }) 
    } 
} 

注:某顶点的度是得到相邻边后返回其长度则便是该顶点的度。

    class Graph { 
        // ... 
        //顶点的度
        degree(vertexId) { 
            return this.getEdgesByVertexId(vertexId).length 
        } 
    } 

总结:2篇是关系图的建立和操作其顶点/边,顶点的度定义,其实关系图有无向图和有向图。

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数据处理 · 初步的认识关系图

图形关系

一 定义顶点

关系图谱具有非常高的复杂性和不确定性,节点与节点之间的关系经常需要发生不同的变化,我们可以对节点进行编号。

class Vertex {
  constructor(id, property) {
    this.id = id
    this.property = property
  }
}
const me = new Vertex(1, [ 'mingming', '18' ])

在创建顶点的时候原数据并不带有能够标识每一个个体信息的标识符,就需要有一个能够产生具有唯一性的的标识符。那简单地定义一个用于创建带有标识符的顶点的函数以方便使用。

let vertexId = 0
function newVertex(property) {
  return new Vertex(++vertexId, property)
}

const me = newVertex([ 'mingming', '18' ])

二 定义边

定义好了关系图谱中的顶点之后,就需要开始定义我们用于表达节点之间关系的边了,创建一个边对象。

class Edge {
  constructor(leftId, rightId, property) {
    this.leftId = leftId
    this.rightId = rightId
    this.property = property
  }
}

const ming = newVertex({
  name: 'mingming',
  age: '18'
})
const hong = newVertex({
  name: 'xiaohong',
  age: '10'
})

const relation = new Edge(ming.id, hong.id, 'couple')

现在可以通过顶点对象中的 id 属性取得该顶点的标识符,但若需要使用标识符来获取顶点对象本身,就需要别的实体来完成这个需求。而这样的可以交由关系图谱本身来完成。

三 图

相比于顶点对象只会从自身的id被检索,边对象则会从与边相连的两个顶点被检索,所以更需要进行编号以提升检索的速度。通过对边对象的编号和关系的变换,我们可以整理出顶点与边的关系。

顶点与边的关系
1.对顶点进行编号,以优化对顶点的检索;
2.对边进行编号,并存储好边与顶点的关系。

class Relation {
  constructor(vertices, edges) {

    // 顶点
    this.vertexIds = []
    this.vertices = {}

    for (let i = 0; i < vertices.length; ++i) {
      const vertex = vertices[i]

      this.vertexIds.push(vertex.id)
      this.vertices[vertex.id] = vertex
    }

    const edgesWithId = edges.map(function(edge, i) {
      edge.id = i + 1
      return edge
    })

    // 边
    this.edgeIds = []
    this.edges = {}
    this.edgeRelations = {}

    for (let i = 0; i < edgesWithId.length; ++i) {
      const edge = edgesWithId[i]

      this.edgeIds.push(edge.id)
      this.edges[edge.id] = edge

      // 初始化顶点与边的关系
      if (typeof this.edgeRelations[edge.leftId] === 'undefined') {
        this.edgeRelations[edge.leftId] = []
      }

      if (typeof this.edgeRelations[edge.rightId] === 'undefined') {
        this.edgeRelations[edge.rightId] = []
      }

      this.edgeRelations[edge.leftId].push(edge.id)
      this.edgeRelations[edge.rightId].push(edge.id)
    }

  }
}
//点
const vertices = [
  new Vertex(1, 'A'),
  new Vertex(2, 'B'),
  new Vertex(3, 'C'),
  new Vertex(4, 'D')
]
//边
const edges = [
  new Edge(1, 2, 1),
  new Edge(1, 3, 2),
  new Edge(2, 4, 1),
  new Edge(3, 4, 1)
]

const relation = new Relation(vertices, edges)

初步了解图形基本的定点与边的关系。

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基础数据转换

一、流式处理数据 —— 函数串流

利用数据流理解数据处理,比如最常见的词频统计,我们将一个一维的字符串数据一步一步地进行拆分、转换处理,最后得到一个二维的数据集,中间经过了以下步骤:

分割单词:”word word good” → [“word”, “word”, “good”]

添加频次:[“word”, “word”, “good”] → [[“word”, 1], [“word”, 1], [“good”, 1]]

合并同类项:[[“word”, 1], [“word”, 1], [“good”, 1]] → [[“word”, 2], [“good”, 1]]

数据形式转换:[[“word”, 2], [“good”, 1]] → [{ word: “word”, count: 2 }, { word: “good”, count: 1 }]

如果我们把每一个步骤都单独以一个函数的形式编写,便可以得到以下处理函数。

reduceByKey 则是根据 Tuple集中的键首先进行一次分类组合,将具有相同键的值进行组合,然后对每一个组合集进行单独遍历。
```js
_.reduceByKey = function(tuples, reduceCallback) { 
    const grouped = _.groupBy(tuples, function(tuple) {
        return tuple[0] 
    }) 
    return _.toPairs(_.mapValues(grouped, function(tuples)  {
        return _.chain(tuples) .map(function(tuple) { 
            return tuple[1] 
            }) .reduce(reduceCallback) .value() 
    }))
}
// 分割单词 
function splitWords(string) { 
    return string.split(/\s+/g) 
} 
// 添加频次 
function addCount(words) { 
    return words.map(function(word) { 
        return [ word, 1 ] 
    }) 
}
// 合并同类项 
function sumWordCount(tuples) { 
    return _.reduceByKey(tuples, function(left, right) { 
        return left + right 
    }) 
} 
// 数据形式转换 
function convertTuplesToDataset(tuples) { 
    return tuples.map(function(tuple) { 
        return { 
            word: tuple[0], 
            count: tuple[1] 
        } 
    }) 
} 

把这些处理函数组合起来,便完成了整个词频统计流程。

const rawText = "word word good" 
const dataset = convertTuplesToDataset( 
    sumWordCount( 
        addCount( 
            splitWords(rawText) 
        ) 
    ) 
) 
console.log(dataset) 
//=> [ 
//=>    { word: "word", count: 2 }, 
//=>    { word: "good", count: 1 } 
//=> ] 

以函数封装的方式将数据处理的的逻辑抽象出来,第一可以让代码逻辑变得比较简洁干净,二来可以避免代码中副作用(原数据被修改)的产生,减少数据上出现以外的情况。

二、动态地流式处理数据流

在我们的数据处理逻辑中,需要处理的对象并不只有原数据本身,有一些数据处理逻辑是需要引入参数的,比如筛选过滤需要引入一个或多个筛选条件,对于这种情况,我们一般的做法便是将这些参数也看作是一个流式数据源,并将其一同引入到处理流程中,当然其切入的点可能并一定是从流程的最初始位置,而是在其被需要的位置直接引入。

这里我们直接使用 Vue.js作为例子,我们通过模拟一个不断有新数据产生的实时数据集,然后我们需要通过一个过滤参数将过滤后的数据展示出来。

<!-- Vue.js App --> 
<div id="app"> 
    <label for="type">Type Filter: </label> 
    <select name="type" id="type" v-model="typeFilter"> 
        <option value="none">None</option> 
        <option>----------</option> 
        <option v-for="type in typesSet" :value="type" :key="type">{{type}}</option> 
    </select> 
    <ul> 
        <li v-for="item in filteredDataset" :key="item.timestamp">
        Timestamp: {{item.timestamp}} - Type: {{item.type}} - Value: {{item.value}}
        </li> 
    </ul> 
</div> 
// app.js 
    const vm = new Vue({ 
        el: '#app', 
        data: { 
            dataset: [], 
            typeFilter: 'none', 
            typesSet: [ 'word', 'good', 'test' ] 
        }, 
        computed: { 
            filteredDataset() { 
                if (this.typeFilter === 'none') {
                    return this.dataset 
                } 
                return this.dataset.filter(item => item.type === this.typeFilter)             } 
        }, 
        mounted() { 
            // 模拟流式数据集 
            setInterval(() => { 
                const randomType = this.typesSet[Math.round(Math.random() * (this.typesSet.length - 1))] 
                this.dataset.push({ 
                    type: randomType, 
                    timestamp: Date.now(), 
                    value: Math.random().toString(32).substr(2) 
                }) 
            }, 1e3)
        } 
    }) 

总结:初次学习js数据流数据。就是简单的的数据流处理。

Get a Bride-to-be on a Snail mail Buy Bride List

To get yourself a star of the event in most civilizations, you will find a wonderful with regard to snail mail buy birdes-to-be. When the desire to get a woman over a foreign wife can be a difficult task, it has become a lot more complicated because it is not as simple to find another star of the wedding jointly that is coming from a european nation. The issue may be increased from the idea that it is additionally hard to distinguish between the two sorts involving wedding brides. For instance , some three years ago, getting a international woman was initially fairly logical because it was initially easier to find a international woman over a deliver buy new bride record than individual who is rushing in coming from a american country.

Foreign brides to be are definitely more challenging to get over a email buy bride record because you will not genuinely learn which will one to choose. This is due to the idea that most of these people result from places in which they might nevertheless be betrothed with their personal countrymen. If it is the truth, some sort of western woman can become an international star of the event in some weeks. The number of offshore brides to be has grown drastically in recent years. Which means those who not yet wedded on the web may have no other choice than to find another new bride on a record.

In order to find the bride on a mailbox purchase new bride listing, first of all you need to do can be begin with a research together with figure out what type of individual you would like to marry. According to your preference, you may possibly search for a classic woman, or a overseas star of the event. If you need a standard star of the event, then a classic bride would probably be a classic star of the wedding over a postal mail buy new bride listing.

You can also get birdes-to-be who else are derived from the Hard anodized cookware region or have already been used foreign women dating simply by an individual via a second nation whom are usually surviving in us states. If you want a international star of the wedding, searching intended for international brides to be over a ship order star of the event record.

The next thing will be to find an offshore bride-to-be on a mailorder star of the event list. This can be done readily since the bulk of deliver purchase wedding brides nowadays have a very signed up email. However , there are numerous overseas wives or girlfriends which should not have a message deal with so you would have to try to find other ways of finding these people.

Amazing locating a international partner on a -mail buy bride-to-be record is to use the services of a company. Normally organizations charge monthly price yet there are other firms of which ask for a reduced pace. If you can’t locate one, you are able to inquire some other married couples whether they have virtually any activities in order to discover a foreign spouse on a mail buy bride-to-be record.

In closing, the internet is great for finding a star of the wedding internet. You never really have to travel and even locate a star of the event internet, you can also use the internet to assist you locate a new bride coming from in foreign countries.

Popular Gaming system Emulation help What kind Is Best For Your computer?

For the reason that popular game enthusiasts move, you can find an example of a classic game system of which continues to be very well-known for all your appropriate factors. This can be the Nintendo Leisure Program (NES). The very best step plus alluring authentic method, which was presented throughout 85 own always been extremely popular over one fourth of your 1. How come?

Nintendo got their NES gaming console and even came up with the first of all truly successful crossbreed system: a house computer game gaming system with a great number of brilliant games with the novice game lover. Think of doing offers just like Mario Brothers, Wario Entire world, Sweet Track down, Extremely Mario Bros, C, Metroid, Castlevania, Doctor Mario, plus Dope Kong along with the delight together with exhilaration the apps you need games. These types of online games and others could be on the Gba (GBA) program.

Exactly what many people don’t realize is the fact that there are lots of emulation systems in the marketplace which you can select from. The true strategy at this point is choosing the right vintage game technique emulator on your behalf.

Although there will be countless https://custom-roms.com/roms/apple-ii/amazon-1984-trillium-cr-disk-2-of-4-nib-usa great produce an emulator, this article will only focus on the true answer why they may be essential. These types of items of software program permit you to play NES game titles in their most enjoyable together with suitable point out.

The Nintendo Entertainment Technique (NES) is among the most trusted home computer game console at any time designed. With that said, it is not necessarily unusual of which certain emulator devices making the effort to reconstruct it. We wished to examine different simulator on the market to help you decide which the first is the best.

Very Nintendo Emulator (SNES) is an extremely well-known piece of software. It was originally produced with the Japanese gaming corporation Nintendo. SUPER NES simulator have a large list of features and accessories in making your own games experience far more fulfilling. Prior to making a decision, be sure you take a look at their very own characteristics together with compatibility with the unique method.

Lots of people not necessarily which there are lots associated with emulators designed for the particular Manufacturers Leisure Technique (NES). These types of software applications can be considered as the relative to the SNES. Many are even more ready compared to others, which occur recommended with regard to their whether it is compatible with unique video games. You can get the one that is ideal suitable for you.

As being an individual, you can find dating to apply your own personal choice. I believe I would suggest making use of the current editions associated with RetroArch as this has been online extended which is very popular. A lot of people who have been fortunate enough to locate the basic release of the SNES enjoyed that individual initial hardware, however lots like to participate in it on a modern program and I are estimating that some folks did not want to wreak havoc on sexy on-line computer games by any means.

For anyone men and women that can afford this, I would highly recommend researching acquiring some of the terrific video game techniques on the market that will repeat the quality of typically the authentic games. These kinds of systems are generally the most effective emulators that you can get.

If you opt to get these types of emulators, keep in mind that you should bear them recent they will should manage efficiently. Many simulator can become not fast enough over time. This is why you must be very careful when you choose to get one particular.

Many different web pages can be found where one can order the best online games designed for get the emulator. Many of them are available with the Net. The particular down load may need anyone to provide your own email but you can experience positive that it may not be acquired by any kind of malicious third parties.

Naturally , you may also elect to invest in your perky game playing games consoles, just like the Extremely Manufacturers or some other simulator on the internet, from these web sites at the same time. Typically they have got bargains about these products. It indicates you can get fantastic video gaming fashion accessories for just a good cost.