forked from Gitlink/forgeplus-react
Merge branch 'gitlink_server' of https://git.trustie.net/Gitlink/forgeplus-react into gitlink_server
This commit is contained in:
commit
ad86e65ac9
|
|
@ -12147,6 +12147,11 @@
|
|||
"integrity": "sha512-4hLB8Py4zZce5s4yd9XzopqwVv/yGNhV1Bl8NTmCq1763HeK2+EwVTv+leGeL13Dnh2wfbqowVPXCIO0z4taYw==",
|
||||
"dev": true
|
||||
},
|
||||
"papaparse": {
|
||||
"version": "5.3.2",
|
||||
"resolved": "https://registry.npmmirror.com/papaparse/-/papaparse-5.3.2.tgz",
|
||||
"integrity": "sha512-6dNZu0Ki+gyV0eBsFKJhYr+MdQYAzFUGlBMNj3GNrmHxmz1lfRa24CjFObPXtjcetlOv5Ad299MhIK0znp3afw=="
|
||||
},
|
||||
"parallel-transform": {
|
||||
"version": "1.2.0",
|
||||
"resolved": "https://registry.npmmirror.com/parallel-transform/-/parallel-transform-1.2.0.tgz",
|
||||
|
|
|
|||
|
|
@ -47,6 +47,7 @@
|
|||
"numeral": "^2.0.6",
|
||||
"nvm": "0.0.4",
|
||||
"object-assign": "4.1.1",
|
||||
"papaparse": "^5.3.2",
|
||||
"postcss-flexbugs-fixes": "3.2.0",
|
||||
"promise": "8.0.1",
|
||||
"prop-types": "^15.6.1",
|
||||
|
|
|
|||
|
|
@ -5,6 +5,9 @@ import '../css/index.scss';
|
|||
import '../Branch/branch.scss';
|
||||
import './activity.css';
|
||||
import NoneData from '../Nodata';
|
||||
import Line from './line';
|
||||
import SmoothLine from './smoothLine';
|
||||
import Pie from './pie';
|
||||
|
||||
|
||||
import ActivityItem from './ActivityItem';
|
||||
|
|
@ -157,7 +160,7 @@ class Activity extends Component{
|
|||
const { time , data , page , project_trends , isSpin ,
|
||||
pr_count , new_pr_count , close_issues_count , open_issues_count , pr_all_count ,issues_count,
|
||||
type,status , codeStatus } = this.state;
|
||||
let name = time ? ARRAY.filter(item=>item.id === parseInt(time)) :[{name:"全部"}];
|
||||
let name = time ? ARRAY.filter(item=>item.id === parseInt(time,0)) :[{name:"全部"}];
|
||||
|
||||
const first_per = pr_all_count > 0 ? `${parseFloat(pr_count/pr_all_count).toFixed(2)*100}%` :"50%";
|
||||
const second_per =pr_all_count > 0 ? `${parseFloat(new_pr_count/pr_all_count).toFixed(2)*100}%` :"50%";
|
||||
|
|
@ -166,8 +169,7 @@ class Activity extends Component{
|
|||
|
||||
const {projectDetail} = this.props;
|
||||
return(
|
||||
<div className="main mt20">
|
||||
|
||||
<div className="contentBox mt20">
|
||||
<div className="normalBox">
|
||||
<div class="normalBox-title">概览</div>
|
||||
<div className="orderInfo">
|
||||
|
|
@ -223,12 +225,12 @@ class Activity extends Component{
|
|||
i.author ?
|
||||
!i.author.id ?
|
||||
<span>
|
||||
<img src={getImageUrl(i.author && i.author.image_url)} width="38px" alt=""/>
|
||||
<img src={getImageUrl(i.author && i.author.image_url)} width="38px" height="38px" alt=""/>
|
||||
<Tooltip title={i.author && i.author.name} placement="bottom"><span>{i.author && i.author.name}</span></Tooltip>
|
||||
</span>
|
||||
:
|
||||
<a href={i.author.login ? `/${i.author.login}` : `mailto:${i.author.email}`}>
|
||||
<img src={getImageUrl(i.author && i.author.image_url)} width="38px" alt=""/>
|
||||
<img src={getImageUrl(i.author && i.author.image_url)} width="38px" height="38px" alt=""/>
|
||||
<Tooltip title={i.author && i.author.name} placement="bottom"><span>{i.author && i.author.name}</span></Tooltip>
|
||||
</a>
|
||||
:""
|
||||
|
|
@ -240,38 +242,56 @@ class Activity extends Component{
|
|||
</div>
|
||||
}
|
||||
</div>
|
||||
<div className="df trendsTop mt20">
|
||||
<div className="branchDropdown f-wrap-alignCenter">
|
||||
<Dropdown overlay={this.menu()} trigger={['click']} placement="bottomLeft">
|
||||
<a className="ant-dropdown-link">
|
||||
<span className="color-grey-9 mr3">周期:</span>
|
||||
{name && name.length>0 && name[0].name} <Icon type="down" />
|
||||
</a>
|
||||
</Dropdown>
|
||||
</div>
|
||||
</div>
|
||||
<Spin spinning={isSpin}>
|
||||
{
|
||||
project_trends && project_trends.length > 0 ?
|
||||
<div className="activity_list">
|
||||
{
|
||||
project_trends && project_trends.map((item,key)=>{
|
||||
return(
|
||||
<ActivityItem item={item} {...this.props} ></ActivityItem>
|
||||
)
|
||||
})
|
||||
}
|
||||
</div>
|
||||
:
|
||||
<NoneData _html="暂时还没有相关数据!" />
|
||||
}
|
||||
</Spin>
|
||||
{
|
||||
data && data.project_trends_size > 0 && data.project_trends_size > LIMIT &&
|
||||
<div className="pageDIV">
|
||||
<Pagination showQuickJumper defaultCurrent={page} total={data && data.project_trends_size} pageSize={LIMIT} onChange={this.ChangePage}></Pagination>
|
||||
false ?
|
||||
<div className="normalBox mt20">
|
||||
<div class="normalBox-title">项目演化分析</div>
|
||||
<div className="echartBox">
|
||||
<span className="echartTitle">项目演化图</span>
|
||||
<Line data={undefined}/>
|
||||
<span className="echartTitle">分支演化图</span>
|
||||
<SmoothLine />
|
||||
<span className="echartTitle">Issue演化图</span>
|
||||
<Pie />
|
||||
</div>
|
||||
</div>
|
||||
:""
|
||||
}
|
||||
<div className="commentsBox">
|
||||
<div className="trendsTop">
|
||||
<span>Issue/Pr记录</span>
|
||||
<div className="branchDropdown f-wrap-alignCenter">
|
||||
<Dropdown overlay={this.menu()} trigger={['click']} placement="bottomLeft">
|
||||
<a className="ant-dropdown-link">
|
||||
<span className="color-grey-9 mr3">周期:</span>
|
||||
{name && name.length>0 && name[0].name} <Icon type="down" />
|
||||
</a>
|
||||
</Dropdown>
|
||||
</div>
|
||||
</div>
|
||||
<Spin spinning={isSpin}>
|
||||
{
|
||||
project_trends && project_trends.length > 0 ?
|
||||
<div className="activity_list">
|
||||
{
|
||||
project_trends && project_trends.map((item,key)=>{
|
||||
return(
|
||||
<ActivityItem item={item} {...this.props} ></ActivityItem>
|
||||
)
|
||||
})
|
||||
}
|
||||
</div>
|
||||
:
|
||||
<NoneData _html="暂时还没有相关数据!" />
|
||||
}
|
||||
</Spin>
|
||||
{
|
||||
data && data.project_trends_size > 0 && data.project_trends_size > LIMIT &&
|
||||
<div className="pageDIV">
|
||||
<Pagination showQuickJumper defaultCurrent={page} total={data && data.project_trends_size} pageSize={LIMIT} onChange={this.ChangePage}></Pagination>
|
||||
</div>
|
||||
}
|
||||
</div>
|
||||
</div>
|
||||
)
|
||||
}
|
||||
|
|
|
|||
|
|
@ -1,8 +1,18 @@
|
|||
.trendsTop{
|
||||
padding-bottom: 15px;
|
||||
padding:15px;
|
||||
border-bottom:1px solid #ddd;
|
||||
background-color: #f4f4f4;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: space-between;
|
||||
}
|
||||
.echartBox{
|
||||
padding:10px 15px;
|
||||
}
|
||||
.contentBox{
|
||||
width: 1200px;
|
||||
margin:0px auto;
|
||||
}
|
||||
|
||||
.pageDIV{
|
||||
text-align: center;
|
||||
margin-top: 20px;
|
||||
|
|
@ -60,6 +70,26 @@
|
|||
.percentBox > li:last-child{
|
||||
border-right: none;
|
||||
}
|
||||
.echartTitle{
|
||||
position: relative;
|
||||
padding-left: 20px;
|
||||
font-size: 16px;
|
||||
}
|
||||
.echartTitle::before{
|
||||
position: absolute;
|
||||
content: "";
|
||||
width: 10px;
|
||||
height: 10px;
|
||||
background-color: #466AFF;
|
||||
border-radius: 2px;
|
||||
left: 0px;
|
||||
top:3px;
|
||||
}
|
||||
.commentsBox{
|
||||
border-radius: 4px;
|
||||
border: 1px solid #ddd;
|
||||
margin: 20px 0px 20px 0px;
|
||||
}
|
||||
.prMsg{
|
||||
padding:0px 20px;
|
||||
border-top: 1px solid #f4f4f4;
|
||||
|
|
@ -104,7 +134,7 @@
|
|||
}
|
||||
.activity_list .activity_item{
|
||||
border-bottom: 1px solid #f4f4f4;
|
||||
padding:15px 0px;
|
||||
padding:15px;
|
||||
display: flex;
|
||||
align-items: flex-start;
|
||||
}
|
||||
|
|
|
|||
File diff suppressed because one or more lines are too long
|
|
@ -0,0 +1,290 @@
|
|||
,split,shrink,merge,expand,login_name,project_name
|
||||
0,0.9658856574176032,0.0,0.6086250620489625,0.23916497028475464,PaddlePaddle,Paddle
|
||||
1,0.5236622166699644,3.013657504663903e-17,0.7666707414838918,0.14629594705747595,PaddlePaddle,Paddle
|
||||
2,1.044357656810148,0.0,1.0426205269339452,0.03423802166359817,PaddlePaddle,Paddle
|
||||
3,1.042240003267599,0.0,1.1785317129397854,0.03920548319690445,PaddlePaddle,Paddle
|
||||
4,0.7007070785720733,0.0,0.8657930652674286,0.10764574514101388,PaddlePaddle,Paddle
|
||||
5,1.0051839956136606,6.010475998968141e-17,1.2519254933507957,0.03706823195115381,PaddlePaddle,Paddle
|
||||
6,0.6315071512134627,0.0,0.6101228102442231,0.015354811287031582,PaddlePaddle,Paddle
|
||||
7,1.1415288931991294,6.286717997344427e-17,1.1392302044450484,0.07550201601330778,PaddlePaddle,Paddle
|
||||
8,1.4842980611444618,1.5233414074012986e-16,1.0976262663308751,0.12455410826333586,PaddlePaddle,Paddle
|
||||
9,1.1664231464458412,5.281396559792658e-16,1.5523708617632028,0.11150492646352428,PaddlePaddle,Paddle
|
||||
10,0.7994966260982311,2.0623571833195542e-16,1.278785811649192,0.0779692204937266,PaddlePaddle,Paddle
|
||||
11,0.49125499630640684,0.1502475473890755,0.5706208487892628,0.08357728209103787,PaddlePaddle,Paddle
|
||||
12,1.4617941115160147,0.009475286737325042,1.1962122113899583,0.030540667559244172,PaddlePaddle,Paddle
|
||||
13,1.507701576851204,0.00649973180859589,1.5110554162171836,0.021690166617275138,PaddlePaddle,Paddle
|
||||
14,1.2379466492044884,0.005179148625044449,0.9089454947809923,0.030265794611598295,PaddlePaddle,Paddle
|
||||
15,0.6211645071280435,0.006440337779415786,0.9111818896674575,0.013212256503572186,PaddlePaddle,Paddle
|
||||
16,1.477248182907724,0.00855895383762367,1.37741687687826,0.002582870633177479,PaddlePaddle,Paddle
|
||||
17,1.4096499384229702,0.009344920949148442,1.5558905812712103,0.0071833822754448235,PaddlePaddle,Paddle
|
||||
18,1.387452268446714,0.0024711319994553554,1.6503126642075476,0.028645597139542865,PaddlePaddle,Paddle
|
||||
19,1.6380227456760639,0.001020105748010456,1.3542633780253743,0.02873109209095251,PaddlePaddle,Paddle
|
||||
20,0.40826412133912976,0.0411209291859663,0.33327206705998746,2.3846169887164016e-16,PaddlePaddle,Paddle
|
||||
21,1.387126555228116,0.028648488455779327,1.1300309209847643,0.014912970773151004,PaddlePaddle,Paddle
|
||||
22,0.9959773321358076,0.034014936326453554,1.2595245935495276,0.0296444009303655,PaddlePaddle,Paddle
|
||||
23,1.2375969986675932,0.04089911762730265,1.3061180999837525,0.058117459234703656,PaddlePaddle,Paddle
|
||||
24,0.954060846845525,0.07770354132077326,0.8340979402531381,0.04512611829912883,PaddlePaddle,Paddle
|
||||
25,1.2688996063125986,0.031190058955226307,1.3823433684779458,0.015170404481184256,PaddlePaddle,Paddle
|
||||
26,1.0843455687491974,0.04672896338018865,0.975391002247239,0.0071239301915620975,PaddlePaddle,Paddle
|
||||
27,0.652121703521814,0.039950905902644815,0.7849298590784968,0.008168340752513532,PaddlePaddle,Paddle
|
||||
28,1.1245683565365399,0.014293024725844492,1.5894057942853261,0.05091755783019765,PaddlePaddle,Paddle
|
||||
29,1.0568453103164317,0.011204675664765639,1.3113840374649142,0.012764445254162234,PaddlePaddle,Paddle
|
||||
30,1.1427089884625838,0.06684004317131086,0.7834760406596106,0.015936764898129327,PaddlePaddle,Paddle
|
||||
31,0.9873075028769938,0.11437632797216032,1.204346762895816,0.011670989659628058,PaddlePaddle,Paddle
|
||||
32,1.1556314130714975,0.0038645854788169217,1.4404258089867519,0.023869383652778388,PaddlePaddle,Paddle
|
||||
33,1.4447670082151718,0.01329785378499021,1.0704279091639415,0.013448442929690808,PaddlePaddle,Paddle
|
||||
34,1.0049675179981177,0.023883170706131576,1.0124449009624978,0.04820148685084115,PaddlePaddle,Paddle
|
||||
35,0.814154311942975,0.05502444201656788,1.186054751794128,0.016048073093817825,PaddlePaddle,Paddle
|
||||
36,0.8945717316649124,0.047147392176710864,0.6186489821761862,0.004685079358424148,PaddlePaddle,Paddle
|
||||
37,0.7609532566321866,0.02844790823093158,0.931339042064437,0.028847852194480973,PaddlePaddle,Paddle
|
||||
38,0.978608749734731,0.013885938834105941,1.1444601876960543,0.020845359781033152,PaddlePaddle,Paddle
|
||||
39,1.0792833903228347,0.01999271370460481,0.9337184985440365,0.03645064623141573,PaddlePaddle,Paddle
|
||||
40,1.2988693483384184,0.021988883160911146,1.2275225084614236,0.015417878843380547,PaddlePaddle,Paddle
|
||||
41,1.5531719901369359,0.007639449960825558,1.4961748515777449,0.0030800579959752656,PaddlePaddle,Paddle
|
||||
42,1.0619886763530102,0.005582002552381577,1.0620607094128887,0.011457940839487242,PaddlePaddle,Paddle
|
||||
43,1.054901831284776,0.014471049507841685,0.8991447458569788,0.06928751420824013,PaddlePaddle,Paddle
|
||||
44,0.8368078579582636,0.032934126087872495,1.2951958636249592,0.08477543746848971,PaddlePaddle,Paddle
|
||||
45,1.6698247189743123,0.005137278984610588,1.2881235041144177,0.09258129317608613,PaddlePaddle,Paddle
|
||||
46,1.4145025545960863,0.022612350884348372,1.5360275240121493,0.013427261170755283,PaddlePaddle,Paddle
|
||||
47,1.5185045880749768,0.0029441571390529998,1.437981945160126,0.03805619779316695,PaddlePaddle,Paddle
|
||||
48,1.3791553732436244,0.005318357776653594,1.4901836532654404,0.012108872846630755,PaddlePaddle,Paddle
|
||||
49,1.118950486701834,0.014600740356856908,1.295804196563906,0.030030037792895512,PaddlePaddle,Paddle
|
||||
50,1.0843763646447457,0.015918576845830278,0.9377170540677403,0.02441321012873387,PaddlePaddle,Paddle
|
||||
51,1.1251202031487266,0.0173372241472182,1.0769978446227493,0.017323725969538496,PaddlePaddle,Paddle
|
||||
52,1.6253204058840578,0.003433393187088838,1.719824613643154,0.013510063080030348,PaddlePaddle,Paddle
|
||||
53,1.3440304688929205,0.007716934226375698,1.414147763622242,0.02520020310090838,PaddlePaddle,Paddle
|
||||
54,1.326822675315569,0.01250323705124769,1.3523594873804339,0.07330299902212017,PaddlePaddle,Paddle
|
||||
55,1.5955364546340607,0.02367369835318881,1.455268934403249,0.0159626318608746,PaddlePaddle,Paddle
|
||||
56,1.535944435747745,0.02914163401731994,1.511019506536989,0.00610622064216899,PaddlePaddle,Paddle
|
||||
57,1.0796257836405667,0.051395620429206895,1.1193054956481114,0.017186836039022067,PaddlePaddle,Paddle
|
||||
58,1.4925847300237016,0.014272320848921192,1.8265182772254183,0.01676037849561654,PaddlePaddle,Paddle
|
||||
59,1.4737227964117938,0.01826692094086856,1.447845562540323,0.0217119881117487,PaddlePaddle,Paddle
|
||||
60,1.3294268023506874,0.01487706964878133,1.4462518694482334,0.0851125767581234,PaddlePaddle,Paddle
|
||||
61,1.8588152145356778,0.017158021519058743,1.3652224343687607,0.023321947205722355,PaddlePaddle,Paddle
|
||||
62,1.4387777300136129,0.020865866372811844,1.8136120773379494,0.018929439545243523,PaddlePaddle,Paddle
|
||||
63,1.6229065103047962,0.021202892310101758,1.683355408393897,0.01898750700291941,PaddlePaddle,Paddle
|
||||
64,1.9326003383308008,0.01135950963054362,1.7047634186636087,0.016264407259571855,PaddlePaddle,Paddle
|
||||
65,0.32193663606751366,0.022351012473044957,1.9382089946893981,0.46713155959041236,PaddlePaddle,Paddle
|
||||
66,0.3439326324024867,0.06295757130882332,0.28255795739831374,0.02794909561393503,PaddlePaddle,Paddle
|
||||
67,0.2995588989493648,0.01323351798698853,0.1419562428079607,0.03215313408211452,PaddlePaddle,Paddle
|
||||
68,0.7887856944656354,0.002222477651793221,0.17178536902960032,0.018285571464849968,PaddlePaddle,Paddle
|
||||
69,1.4497615253072529,0.01271800128619617,0.8821264673357,0.02892169346771721,PaddlePaddle,Paddle
|
||||
70,1.3505138848901166,0.018393911888423417,1.18907488181566,0.013463266647648103,PaddlePaddle,Paddle
|
||||
71,1.2486861807874252,0.01739575651263081,1.1487979544239528,0.014903888505706793,PaddlePaddle,Paddle
|
||||
72,1.1262120080946156,0.0471003467199696,1.2990569582091147,0.01879811150404081,PaddlePaddle,Paddle
|
||||
73,1.3515628445924477,0.023390415243339752,1.2244022691838883,0.04551208568962011,PaddlePaddle,Paddle
|
||||
74,1.1340538936598852,0.01477428645095195,1.319244780056436,0.019915210545436594,PaddlePaddle,Paddle
|
||||
75,0.9069182914131846,0.00802346846855466,1.0725870662073644,0.0014441595965570169,PaddlePaddle,Paddle
|
||||
76,1.7492720957967904,0.009495802590768413,1.4944929323420002,0.006071071943504202,PaddlePaddle,Paddle
|
||||
77,1.3187313481915275,0.4511697179453319,1.604226107967037,0.04013277982028808,PaddlePaddle,Paddle
|
||||
78,1.7737733105573514,0.02529490596397492,1.9459986522349813,0.02394627755708589,PaddlePaddle,Paddle
|
||||
79,1.6310498339614716,0.020322732344633238,1.8724333674146179,0.02745257640028612,PaddlePaddle,Paddle
|
||||
80,2.002740211468727,0.01856281060753166,1.30325661216007,0.016645773917677045,PaddlePaddle,Paddle
|
||||
81,1.2326605733875182,0.03198851492279255,1.3751682803280147,0.03171653823608556,PaddlePaddle,Paddle
|
||||
82,1.457933937090159,0.018006304938681755,1.5137679989090191,0.02040516862115806,PaddlePaddle,Paddle
|
||||
83,1.5813564359746575,0.011495581323211254,1.7826616977881773,0.028674829956016175,PaddlePaddle,Paddle
|
||||
84,1.6325451499952373,0.021926622540137292,1.488145125561614,0.04621137670776167,PaddlePaddle,Paddle
|
||||
85,1.2583011794212335,0.027759110297895143,1.2867709545388226,0.027513770574832248,PaddlePaddle,Paddle
|
||||
86,1.756250237385077,0.011848326995271379,1.665059056398594,0.024789749283514382,PaddlePaddle,Paddle
|
||||
87,1.6242581673688121,0.0030778607878586585,1.7374357209238713,0.025790257591135797,PaddlePaddle,Paddle
|
||||
88,1.7911194120958978,0.015241363478772642,1.4838004481297467,0.025024294356150712,PaddlePaddle,Paddle
|
||||
89,1.1280417027475274,0.021560101475735085,1.5715159537056327,0.03137393078129819,PaddlePaddle,Paddle
|
||||
90,1.5342275164197974,0.03596519808839006,1.4508011248007349,0.01783242932017281,PaddlePaddle,Paddle
|
||||
91,1.5339683050286193,0.03259000169510715,1.202755421344145,0.02925197155194626,PaddlePaddle,Paddle
|
||||
92,1.2543035500853141,0.024397865774462003,1.8914086895518765,0.013592410196730995,PaddlePaddle,Paddle
|
||||
93,1.5409197587997487,0.02416712319720504,1.2278075124407053,0.021905493594493404,PaddlePaddle,Paddle
|
||||
94,1.671710471310236,0.015704879080019135,1.5294994120813732,0.027727239796526144,PaddlePaddle,Paddle
|
||||
95,1.25799683213486,0.02342479481700363,1.6047939635821966,0.04222919066737242,PaddlePaddle,Paddle
|
||||
96,1.4291801084064777,0.05355552839872644,1.32325390144252,0.03671309242234772,PaddlePaddle,Paddle
|
||||
97,1.2882884159947685,0.03997089390134692,1.4560027111597642,0.0498581614630542,PaddlePaddle,Paddle
|
||||
98,1.5110098920244173,0.02858055463878559,1.4937407914838934,0.018754177157050567,PaddlePaddle,Paddle
|
||||
99,1.7175104991243126,0.03326552441220309,1.4418863184174215,0.03260647661056303,PaddlePaddle,Paddle
|
||||
100,1.615009798964245,0.03158196453485186,1.535630722592817,0.010733752821204725,PaddlePaddle,Paddle
|
||||
101,1.325489664808378,0.027985957967170655,1.959799609149877,0.012054003069601709,PaddlePaddle,Paddle
|
||||
102,1.3054997223159597,0.037769129065918394,1.2130602007190183,0.034435247275703226,PaddlePaddle,Paddle
|
||||
103,1.8381735462308744,0.028840830001779387,1.456634406454953,0.029851564711194743,PaddlePaddle,Paddle
|
||||
104,1.54483766252618,0.01742164919534676,1.7531027661114844,0.012521076975729253,PaddlePaddle,Paddle
|
||||
105,1.3942910079991182,0.05906433233204017,1.2899971721862464,0.013554808682628133,PaddlePaddle,Paddle
|
||||
106,1.3442523755868394,0.03343088238634371,1.812997629752311,0.015091270572876837,PaddlePaddle,Paddle
|
||||
107,1.5241614211644414,0.0502196832033104,1.0711671465576447,0.01138335502644807,PaddlePaddle,Paddle
|
||||
108,1.1631522886729093,0.05595355503584379,1.462764054182481,0.01789569340938925,PaddlePaddle,Paddle
|
||||
109,1.7473026719597728,0.020170716930088345,1.2645895524559456,0.04397546648389034,PaddlePaddle,Paddle
|
||||
110,0.9427042953795406,0.032681743741183364,1.5504644956815634,0.03736408608718063,PaddlePaddle,Paddle
|
||||
111,1.4032958123280508,0.03331921367769007,1.152343576160925,0.012819877876319032,PaddlePaddle,Paddle
|
||||
112,1.495318341089802,0.03234362157841835,1.526259230757666,0.025204832206146645,PaddlePaddle,Paddle
|
||||
113,1.4092642512036253,0.023152532160670657,1.4833506630215656,0.02096919654111727,PaddlePaddle,Paddle
|
||||
114,1.4918578920788144,0.049486994776192,1.4772370435137478,0.025144934859956433,PaddlePaddle,Paddle
|
||||
115,1.4543376051272778,0.039703469134088454,1.3974920405375617,0.03745415479849734,PaddlePaddle,Paddle
|
||||
116,1.4995566073132143,0.04358548578606,1.9053765048523426,0.017023636646977043,PaddlePaddle,Paddle
|
||||
117,1.7374515103280281,0.008501503138323803,1.085216256910182,0.03182672118095834,PaddlePaddle,Paddle
|
||||
118,1.11861097275425,0.006567223685325214,1.5938748767689257,0.011547898694717593,PaddlePaddle,Paddle
|
||||
119,1.6669668633005539,0.017787506771846033,1.356290550127374,0.0419798229708111,PaddlePaddle,Paddle
|
||||
120,1.3326956687026832,0.014789161785814683,1.5838783146836815,0.015327645233429065,PaddlePaddle,Paddle
|
||||
121,1.4961395700086713,0.01728231550417789,1.6955660021071057,0.02562666890180302,PaddlePaddle,Paddle
|
||||
122,1.2950412662120059,0.018345301572947503,1.1060192546534187,0.03241586017974716,PaddlePaddle,Paddle
|
||||
123,1.4063004824805243,0.008998010638355649,1.3746205186602598,0.05907077886236617,PaddlePaddle,Paddle
|
||||
124,1.4917426938937364,0.026213485398904293,1.3319503373056356,0.02018528527077921,PaddlePaddle,Paddle
|
||||
125,1.4598434661369755,0.014174092962982896,1.5317853156459276,0.01788661425428975,PaddlePaddle,Paddle
|
||||
126,0.6886560610720784,0.06370891205708303,0.7220727272102884,0.002018932543796207,PaddlePaddle,Paddle
|
||||
127,1.3015189996636232,0.03613081459558343,1.0235114706980577,0.024379841515445134,PaddlePaddle,Paddle
|
||||
128,1.1872103009517174,0.036810220498818456,1.6704215949067782,0.029113828716829743,PaddlePaddle,Paddle
|
||||
129,1.3848539901455448,0.03421011519945306,1.178711764600869,0.03152079070021873,PaddlePaddle,Paddle
|
||||
130,1.3433644248085184,0.02043122087816254,1.256054196871392,0.07160684637455308,PaddlePaddle,Paddle
|
||||
131,1.250245386413233,0.03808764601302523,1.6366706740457944,0.05273354011043153,PaddlePaddle,Paddle
|
||||
132,1.1397108267901241,0.02562161812719768,1.0873264073813746,0.03145379225245465,PaddlePaddle,Paddle
|
||||
133,1.128411077267151,0.02824714218493054,1.040351612764135,0.032771640088140236,PaddlePaddle,Paddle
|
||||
134,0.788421226555501,0.033442798054598315,1.0529661382795596,0.02062815577464936,PaddlePaddle,Paddle
|
||||
135,1.3933010508972812,0.06378251194763629,1.2524495817622143,0.03152590482057505,PaddlePaddle,Paddle
|
||||
136,1.2868635103551456,0.018805188990644563,1.2567569596600656,0.07029296596198578,PaddlePaddle,Paddle
|
||||
137,1.3787188792006067,0.026098455547005166,1.6946132435011154,0.040510831278619625,PaddlePaddle,Paddle
|
||||
138,0.9333243285158254,0.0011995767443785123,0.9674459508491066,0.05491036394169517,PaddlePaddle,Paddle
|
||||
139,1.4902309360135735,0.021098233316434376,1.149330027998309,0.038454339225617494,PaddlePaddle,Paddle
|
||||
140,1.5468196888169583,0.020569486786571653,1.6726696726368224,0.03199528539562235,PaddlePaddle,Paddle
|
||||
141,1.3139016085854758,0.02673866163052258,1.1581339091801375,0.04520958357664338,PaddlePaddle,Paddle
|
||||
142,1.158743796146671,0.05044974139853935,1.3066132089265114,0.055252453613887385,PaddlePaddle,Paddle
|
||||
143,1.0985486960283513,0.045849387055914265,1.0765295765069431,0.04150698128252512,PaddlePaddle,Paddle
|
||||
144,1.0446856015606005,0.05760338883865859,1.1024579033253121,0.03157023733487461,PaddlePaddle,Paddle
|
||||
145,1.5526655678400265,0.037825919949920184,1.445920347484619,0.062068607723259304,PaddlePaddle,Paddle
|
||||
146,1.299557404695875,0.01725613244965818,1.6347281294277212,0.08623028371190745,PaddlePaddle,Paddle
|
||||
147,1.2530089328047183,0.022460602031724418,1.2710847765428905,0.03857010752523225,PaddlePaddle,Paddle
|
||||
148,1.3917405059147474,0.053080351749217,1.3564471300531027,0.044350912780300476,PaddlePaddle,Paddle
|
||||
149,1.474453555747382,0.05153564923118109,1.1232040456271857,0.05093583731681689,PaddlePaddle,Paddle
|
||||
150,1.3620201587275258,0.05935712488098281,1.6234638736592573,0.0577921390772059,PaddlePaddle,Paddle
|
||||
151,1.2947792045898063,0.0411943056766567,1.2970113722932528,0.05032110924216482,PaddlePaddle,Paddle
|
||||
152,1.3628479724128286,0.037750111129416675,1.499643374271477,0.05605120487235937,PaddlePaddle,Paddle
|
||||
153,1.133442516877182,0.0425402268839578,1.2515172103727112,0.02562607649208999,PaddlePaddle,Paddle
|
||||
154,1.5205304058662863,0.03625030662079445,1.4361831043304258,0.05182755829798829,PaddlePaddle,Paddle
|
||||
155,1.641279814024991,0.03730131869126089,1.604903318429273,0.0472480333260777,PaddlePaddle,Paddle
|
||||
156,1.4111150980111817,0.03599007142038278,1.3542466313971484,0.05901222297820251,PaddlePaddle,Paddle
|
||||
157,0.9526271700737439,0.048799541430527976,1.1138829197632711,0.025261791785944454,PaddlePaddle,Paddle
|
||||
158,1.373677980225537,0.04989386093555922,1.2476913172420918,0.03912006209315501,PaddlePaddle,Paddle
|
||||
159,1.37773512889346,0.03655922099659548,1.5137767304460013,0.03304183103658451,PaddlePaddle,Paddle
|
||||
160,1.1752187053348877,0.04524493168023866,1.5768957676978295,0.01676952682653268,PaddlePaddle,Paddle
|
||||
161,1.8111211397148315,0.017690403614858276,1.5271956022801323,0.04602382375169954,PaddlePaddle,Paddle
|
||||
162,0.9573209533151622,0.06240919692749138,1.1645948904928747,0.05660464930591977,PaddlePaddle,Paddle
|
||||
163,1.324854420574225,0.04125846960161309,1.3539653828494103,0.03612320868299864,PaddlePaddle,Paddle
|
||||
164,1.5097331955331705,0.06405993721352396,1.5431801687618405,0.029670783733300808,PaddlePaddle,Paddle
|
||||
165,1.32170508961729,0.03154018926250726,1.3722072877652463,0.016588220382579576,PaddlePaddle,Paddle
|
||||
166,0.9708576718784101,0.07671836800911423,1.2874156075482206,0.03262262036101474,PaddlePaddle,Paddle
|
||||
167,1.7128551233817968,0.0433530628787843,1.509025300861969,0.04309282502167317,PaddlePaddle,Paddle
|
||||
168,1.3489038225925745,0.0977587879476255,1.3824409326911706,0.03357924079450352,PaddlePaddle,Paddle
|
||||
169,1.2012744853583683,0.04821804249087308,1.403367272302671,0.03475291382819637,PaddlePaddle,Paddle
|
||||
170,1.3516613889591447,0.0374426856043629,1.5475102655133497,0.06861537518786313,PaddlePaddle,Paddle
|
||||
171,1.513970447331644,0.02690210876832014,1.355435639981018,0.06032700883199577,PaddlePaddle,Paddle
|
||||
172,1.267515575219229,0.011516488412322532,1.3886741126978712,0.04569091394836952,PaddlePaddle,Paddle
|
||||
173,1.3149237537151677,0.07168919157400733,1.1358594883728115,0.037024117824931306,PaddlePaddle,Paddle
|
||||
174,1.1457237965190052,0.05552876312954177,1.1441489415763586,0.05274283231789656,PaddlePaddle,Paddle
|
||||
175,1.2579356475126684,0.04869856953034238,1.3865733873366557,0.010654917886732087,PaddlePaddle,Paddle
|
||||
176,0.8262799543851624,0.07264706179187432,0.7646281783789151,0.024280568385730644,PaddlePaddle,Paddle
|
||||
177,1.3242368233537958,0.03362236950704328,1.4170156489896144,0.027505555940622303,PaddlePaddle,Paddle
|
||||
178,1.2940572070148697,0.049095863419385724,1.3988359497726253,0.0653881857039016,PaddlePaddle,Paddle
|
||||
179,1.5117895023335806,0.10128475860377231,1.4433752536059035,0.04464572926389718,PaddlePaddle,Paddle
|
||||
180,1.2774873170520045,0.0806697102444297,1.057943781265636,0.06283847407004693,PaddlePaddle,Paddle
|
||||
181,0.9609571625735859,0.057063628647632786,1.115948146624445,0.048229129053433864,PaddlePaddle,Paddle
|
||||
182,1.1276485247146668,0.11674196214222819,0.995734418235376,0.04829999725711054,PaddlePaddle,Paddle
|
||||
183,1.2105038370562067,0.08863680357740569,1.6166815782953994,0.11589697204647095,PaddlePaddle,Paddle
|
||||
184,1.425049171457982,0.1009210773727966,1.1493430772164126,0.06882293600916711,PaddlePaddle,Paddle
|
||||
185,1.1616903863230588,0.05410800762619701,1.4226032713745373,0.09547130501142602,PaddlePaddle,Paddle
|
||||
186,0.8055713735559941,0.091314441031011,0.9114602042084093,0.08805438878528081,PaddlePaddle,Paddle
|
||||
187,1.3779721900841975,0.024481620204409027,1.4592366083864683,0.08791149889867014,PaddlePaddle,Paddle
|
||||
188,1.2439890616635192,0.01748942890368361,1.2335217124181381,0.05544051941024669,PaddlePaddle,Paddle
|
||||
189,1.4010867542244714,0.02596587105250335,1.318351034524535,0.06376806524765852,PaddlePaddle,Paddle
|
||||
190,0.9358443032893403,0.03443145641220722,1.3039237793205372,0.065700562217947,PaddlePaddle,Paddle
|
||||
191,1.6090532311278904,0.025520286164411196,1.5456707509603138,0.031094901182841778,PaddlePaddle,Paddle
|
||||
192,1.4004956792851746,0.04087618285419378,1.7423121012744123,0.07821321465816373,PaddlePaddle,Paddle
|
||||
193,1.5637285403178958,0.028192776781295247,1.335086498363753,0.08381606875524635,PaddlePaddle,Paddle
|
||||
194,1.4304793199142278,0.02545804603560789,1.6633660903660374,0.0637123930991013,PaddlePaddle,Paddle
|
||||
195,1.4799436045946606,0.05985498614847745,1.3722711799277192,0.07354561317094974,PaddlePaddle,Paddle
|
||||
196,1.2183210078646944,0.05480924954160099,1.0763613338990656,0.04274188729928492,PaddlePaddle,Paddle
|
||||
197,1.005698846866344,0.05180626921179431,1.5048411660987262,0.06627794028316626,PaddlePaddle,Paddle
|
||||
198,1.2898777976273705,0.04021182002514838,1.059058027988418,0.019942223956583488,PaddlePaddle,Paddle
|
||||
199,1.5300579440350672,0.058742121129048766,1.6195651453545303,0.08662989571966578,PaddlePaddle,Paddle
|
||||
200,1.1546341295582183,0.05673982846439834,1.4337945010986886,0.07702032430607775,PaddlePaddle,Paddle
|
||||
201,1.188343365404589,0.07173684638632927,0.9662535704925249,0.08189899294053515,PaddlePaddle,Paddle
|
||||
202,0.8780378642108242,0.09326646191810245,1.132836643091518,0.07969385738014867,PaddlePaddle,Paddle
|
||||
203,0.9524869141598904,0.035682019477652635,0.995340383349116,0.1628631767411089,PaddlePaddle,Paddle
|
||||
204,0.8827814046023417,0.07623435474759221,1.2649727209971962,0.11029218086203116,PaddlePaddle,Paddle
|
||||
205,0.7862840352092008,0.05579519979459449,1.4553934875173895,0.14811596868910754,PaddlePaddle,Paddle
|
||||
206,1.3896320061757224,0.048489848964114526,1.1534527068546017,0.05088279833633045,PaddlePaddle,Paddle
|
||||
207,1.49749028058311,0.03208028416832804,1.3603996243287741,0.06495526285865094,PaddlePaddle,Paddle
|
||||
208,1.4387267564744142,0.02267683527872468,1.2646913059971503,0.029046144035564637,PaddlePaddle,Paddle
|
||||
209,1.2348075051024083,0.03188740458076879,1.2535655249403148,0.02900355699774853,PaddlePaddle,Paddle
|
||||
210,1.2816472057327448,0.025493211917394988,1.6238725024738125,0.013603619312131974,PaddlePaddle,Paddle
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211,1.1986634425953802,0.06388493097561845,1.149557261429001,0.06469184663780386,PaddlePaddle,Paddle
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212,0.3410082826640494,0.08174852229265067,0.1897375473378842,0.009045216625630823,PaddlePaddle,Paddle
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213,0.9564043808697843,0.05860122619198036,1.072207997677424,0.029812209986555215,PaddlePaddle,Paddle
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214,1.3430054676669676,0.03971097516808077,1.1898586303995846,0.04991577973143058,PaddlePaddle,Paddle
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215,0.9520499238946656,0.08650410256943636,1.1456597298950961,0.07584970177159202,PaddlePaddle,Paddle
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216,1.0062994831854788,0.05140187101869026,1.6145527274157154,0.09070209885128863,PaddlePaddle,Paddle
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217,1.4769730995353,0.1575698529485758,0.8812856202938195,0.04800711992856083,PaddlePaddle,Paddle
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218,1.0660914430906652,0.098662788583443,1.2490921443295449,0.061802298674362405,PaddlePaddle,Paddle
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219,1.216074030771752,0.08212333189906029,1.1979916016021133,0.09463046445404427,PaddlePaddle,Paddle
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220,0.8793962437584683,0.07003645720974418,1.1486844819299566,0.09088277847130735,PaddlePaddle,Paddle
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221,1.0102338858946989,0.05205937210668405,1.2936501575375412,0.11169559115171772,PaddlePaddle,Paddle
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222,1.1412024931229605,0.03886489283766594,0.7861700175878121,0.07693777796813983,PaddlePaddle,Paddle
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223,1.1393781843014354,0.08127934482726115,1.2813530720315622,0.07133497799021847,PaddlePaddle,Paddle
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224,1.317137844182918,0.00853439130061489,1.2320094348819244,0.0684247945084172,PaddlePaddle,Paddle
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225,1.1849888046829467,0.02013920514220005,1.2206267753180513,0.06710010625320807,PaddlePaddle,Paddle
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226,1.1641913285167815,0.04294737620136849,1.2095562765131955,0.05859862852877228,PaddlePaddle,Paddle
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227,1.0492829132969577,0.09495343008296198,1.3440993291334,0.06258126438450719,PaddlePaddle,Paddle
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228,0.7826967612862864,0.12934196730944314,0.9462074313376219,0.06483709861414388,PaddlePaddle,Paddle
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229,0.9309327171113789,0.06392401848742903,1.00887613320206,0.08130800122559481,PaddlePaddle,Paddle
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230,1.1134947178419354,0.03572228543341255,1.0604249279944151,0.08693507181846022,PaddlePaddle,Paddle
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231,0.7992581068854682,0.10207439180907805,0.5819950365470404,0.013598068541787271,PaddlePaddle,Paddle
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232,0.8737792623431809,0.09059308311709337,1.4254509385881984,0.06171835841102688,PaddlePaddle,Paddle
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233,1.1941622499888354,0.10570046326387553,0.9956755181097591,0.08101897730187403,PaddlePaddle,Paddle
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234,1.287954219159709,0.04923971520871951,1.636760317865774,0.05733538673566308,PaddlePaddle,Paddle
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235,1.6791854356423386,0.052956990532643584,1.162304565276358,0.05066153600184711,PaddlePaddle,Paddle
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236,1.2343228702719606,0.08168138211957192,1.2269768310618336,0.05371996155784509,PaddlePaddle,Paddle
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237,1.22149100515736,0.07068129719089733,1.3493971479531146,0.04319041292275257,PaddlePaddle,Paddle
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238,1.0141917484795264,0.047947240416571106,1.4318184249376604,0.09245907287909133,PaddlePaddle,Paddle
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239,1.6047533821781592,0.04250347585230909,1.3402260772437469,0.06464563873814871,PaddlePaddle,Paddle
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240,1.3872388100765929,0.04767650620219965,1.388696569137771,0.10404635471739815,PaddlePaddle,Paddle
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241,1.0256222843033558,0.08084581872202354,1.1204317180329186,0.07093460465721846,PaddlePaddle,Paddle
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242,0.8157072456294266,0.0741728198983891,0.6236287665058036,0.027104454486974343,PaddlePaddle,Paddle
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243,1.0160369342407376,0.017362308423001308,0.9598375346812849,0.06554030249831215,PaddlePaddle,Paddle
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244,0.8490980041187582,0.0731936284898532,1.061604971393025,0.08246952446754938,PaddlePaddle,Paddle
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245,1.3244645601967568,0.05710928422536624,1.464895783859728,0.05447033765259998,PaddlePaddle,Paddle
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246,1.1540566053112447,0.055518732730559774,1.2775064045276445,0.07782500071544382,PaddlePaddle,Paddle
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247,1.4159547284559384,0.06606637093504339,1.4284695759394106,0.03764135237103517,PaddlePaddle,Paddle
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248,0.9175307867606279,0.07429188118544583,1.3155537806300774,0.06515534000894821,PaddlePaddle,Paddle
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249,1.386977873853036,0.05549414994578607,1.3677703213011465,0.046883542471499805,PaddlePaddle,Paddle
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250,1.3547294394120424,0.07514740973685222,1.2565618253513038,0.0510040203958504,PaddlePaddle,Paddle
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251,1.427778049571593,0.044638715913694116,1.4821698742009666,0.06430519157213553,PaddlePaddle,Paddle
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252,1.0224551827243076,0.07676632065345863,1.1962907690941174,0.05164263446529224,PaddlePaddle,Paddle
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253,0.8514593168354063,0.1025472882168474,0.8935015108983136,0.06930392826258337,PaddlePaddle,Paddle
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254,0.8694867569887726,0.031837973384048465,0.975276347084546,0.08353627897275183,PaddlePaddle,Paddle
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255,0.15877819798062895,0.014200567100001827,1.1806139747360018,2.2695982353622797,PaddlePaddle,Paddle
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256,0.15021122838365183,0.012798503785208984,0.15668161551831233,0.011825303826536253,PaddlePaddle,Paddle
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257,0.12625284211644958,0.01221979385841973,0.13391658066959455,0.011232836071600789,PaddlePaddle,Paddle
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258,0.09588529865365407,0.014060584975907075,0.10132112526368992,0.016341738051212223,PaddlePaddle,Paddle
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259,0.1365306154964043,0.007981518830665701,0.1428778458210576,0.010778561129711066,PaddlePaddle,Paddle
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260,0.612659209821771,0.016340495756035474,0.07000335050305767,0.010024345588561972,PaddlePaddle,Paddle
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261,0.6254422399582852,0.017820241134226394,0.30067448000394986,0.012175555356746085,PaddlePaddle,Paddle
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262,0.5311744723777284,0.019020564163115615,0.3886036205714785,0.023638563191056273,PaddlePaddle,Paddle
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263,0.2059619578377245,0.008093059830738209,1.7836159418322672,0.4388803228158734,PaddlePaddle,Paddle
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264,0.8664674071549481,0.005583268777943053,0.04896578162836175,0.0029593430131573573,PaddlePaddle,Paddle
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265,0.1457382394621649,0.009165861939576773,0.11696714041347828,0.010833264571062798,PaddlePaddle,Paddle
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266,0.44547069921063553,0.015440996622397788,0.05042158567890383,0.012290741080617038,PaddlePaddle,Paddle
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267,0.38470955145839086,1.469669811178216,0.31708182703097776,0.04191428163991358,PaddlePaddle,Paddle
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268,0.8997976487012959,0.06552080316988558,0.7660894797471182,0.041685651798670724,PaddlePaddle,Paddle
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269,0.9794844466149946,0.0841915801077622,0.9005664582408109,0.03574001837843971,PaddlePaddle,Paddle
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270,1.0113016764027327,0.06252001685115519,0.7403038277383217,0.03464463931427668,PaddlePaddle,Paddle
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271,0.2903774466052339,0.012149116028589105,1.8156952383319394,1.3670994836005648,PaddlePaddle,Paddle
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272,0.018459973583191375,0.009227442954126407,0.026221133473733595,0.010512125322641182,PaddlePaddle,Paddle
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273,0.10833567631510012,0.009890389100347004,0.08146046067626594,0.004455549526460438,PaddlePaddle,Paddle
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274,0.563618410059509,0.00981448019054365,0.10795434386395328,0.007969762425741413,PaddlePaddle,Paddle
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275,0.47492925076690645,0.46826811434953153,0.1516416989106877,0.021821113873906287,PaddlePaddle,Paddle
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276,0.6823899247452281,0.017422084032369254,0.34714761643447667,0.048704422816914415,PaddlePaddle,Paddle
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277,0.7656508577180694,0.021035660342819538,0.5337414814204492,0.024589496841863377,PaddlePaddle,Paddle
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278,0.8976229233505808,0.024851493204949587,0.7267324593608457,0.02596624312169345,PaddlePaddle,Paddle
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279,0.7892474103524698,0.04186532655920012,0.4972424839554046,0.01932840337255917,PaddlePaddle,Paddle
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280,0.693904549936703,0.050671527961597615,0.9828117472879792,0.01694474294643212,PaddlePaddle,Paddle
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281,0.728828283639298,0.027835196774527057,0.6059599485054015,0.009056907436322197,PaddlePaddle,Paddle
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282,0.5731114188580151,0.030643472965107135,0.5060625224466224,0.011545616536847358,PaddlePaddle,Paddle
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283,0.6621232658016367,1.6728582729765331,1.0772065990735449,0.041240438691376904,PaddlePaddle,Paddle
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284,0.8609686533869998,0.09506982162462663,1.1635620154414976,0.07139651080250646,PaddlePaddle,Paddle
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285,0.8803871711267917,0.056465166638596714,0.8749041830090201,0.03639274783900617,PaddlePaddle,Paddle
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286,0.053547050481195166,0.022354073772210378,2.300624967315233,0.3885019104826296,PaddlePaddle,Paddle
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287,0.8149270084778218,0.03910396887121554,0.14302014635898952,0.030391068768168675,PaddlePaddle,Paddle
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288,0.8184784928935007,0.0986051345909994,0.4159880505379929,0.008960837477855893,PaddlePaddle,Paddle
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|
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|
|
@ -0,0 +1,342 @@
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0,0.46399393159369173,0.0,0.5518399214255747,0.0,angular-ui,bootstrap
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580,1.4012673487918137,0.0845498866935699,0.9100199666552533,0.2589141476248331,rails,rails
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585,1.5108203889514686,0.05485455651138456,1.612030495773865,0.057025732916494105,rails,rails
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593,1.6081816170003829,0.09786055077398516,1.4842224653167664,0.06286151934509811,rails,rails
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597,1.0362057001909353,0.09595053996340226,1.0914762013578585,0.1074737481529122,rails,rails
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598,1.1972802441952826,0.054849112844457044,1.0321939488589922,0.06680498010586086,rails,rails
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599,1.0764117650284377,0.12586835730133977,1.028184093289992,0.1804210778434372,rails,rails
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600,1.109154065029637,0.09726195983021571,0.9290175342525525,0.10773160177897871,rails,rails
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601,0.7856038898359622,0.12914269438372292,0.9472999479995405,0.10834514080918028,rails,rails
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602,1.0909659099681783,0.17970961770730132,1.0924604801948652,0.11480530485475747,rails,rails
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603,1.361591697524823,0.07901829477879602,1.1703089065799948,0.13102931394241188,rails,rails
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604,1.0238154192196351,0.2044053113739651,1.2164376261886678,0.15382033199955578,rails,rails
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605,1.0893879848434902,0.12376466836773585,1.0951596636281602,0.23542164121489095,rails,rails
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606,0.7095728346062498,0.14618021306704607,0.6235750320597384,0.09274926599527032,rails,rails
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607,1.2841043461620592,0.07611810511912177,1.7761050944519088,0.13519695829701847,rails,rails
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608,1.3505753817039736,0.08036584690800959,1.2223170204498597,0.08551511888136724,rails,rails
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609,0.9241517211423311,0.12819114568132536,1.3059276723693964,0.5024959340219695,rails,rails
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610,1.7237801430651698,0.03509188695856645,1.2828547536971064,0.1412794111425023,rails,rails
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611,1.126215003279317,0.159739527664307,0.9832625595900599,0.1460115223521352,rails,rails
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612,0.6574275153147597,0.09175714230899928,0.980860005893508,0.15800600679189197,rails,rails
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613,1.2979184516417472,0.06427559596845238,0.959386890959441,0.14613206243471571,rails,rails
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614,1.180103895870059,0.09148062001614606,1.2893265004531496,0.1707025068886944,rails,rails
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615,1.0121786358963005,0.09678980916134655,1.2353148698294267,0.0874956608987079,rails,rails
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616,0.9449415534588778,0.13372681652041563,1.0001727960119684,0.12191265117142765,rails,rails
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617,1.122320563801847,0.21430859569012045,1.1027851076442161,0.09106560974652378,rails,rails
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618,1.4064747707787089,0.06250751273003152,1.2559675921989797,0.1395102934831074,rails,rails
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619,1.1814340887278607,0.08140977997380892,1.3089113069726712,0.11696263132295279,rails,rails
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620,1.619921139971203,0.04497602006235795,1.4576830073786335,0.1445851755971588,rails,rails
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621,1.4578884156054102,0.36767840214281383,1.3668153631126958,0.07277464010957153,rails,rails
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622,0.987366720765915,0.1402991995217199,1.494826535873027,0.14970241532532333,rails,rails
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623,1.5662310822290988,0.0985196312275949,1.3173892516752173,0.10246114239210403,rails,rails
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624,0.14478050002097054,0.12332458289021637,1.4879054802558607,1.2608316343357515,rails,rails
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625,0.4197468952525709,0.08280549476606049,0.37294844715212583,0.069790046811964,rails,rails
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626,0.37993864168489433,0.15471546221260551,0.3476758309865083,0.05336690098561982,rails,rails
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627,0.9551604344568813,0.06672869150948119,0.23903853087749277,0.15829730068301892,rails,rails
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628,1.043141581768014,0.06575806332080665,0.7895826958197841,0.07288370327619727,rails,rails
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629,1.1462184902841406,0.05396032583335283,1.1022247815260056,0.08225565643182167,rails,rails
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630,0.8685633196985972,0.1031038545254862,1.1924490456401593,0.11878963483675457,rails,rails
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631,1.101966325813083,0.10201905851086442,0.9989909154212648,0.05306205111272079,rails,rails
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632,1.2048343394488097,0.11078554454267694,1.0279628583722369,0.06172381648896014,rails,rails
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633,0.9648109607917217,0.04473926407413232,1.0532632853119002,0.06399037848434411,rails,rails
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634,1.0790352977824087,0.08611776071722221,1.0816539386333288,0.07244183552300244,rails,rails
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635,0.9365248643238341,0.06739614284676626,1.011231124687804,0.040065963950548004,rails,rails
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636,1.0587486652850526,1.3049066064679948,1.6194007218426745,0.07863276948956953,rails,rails
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637,1.0439132235000235,0.12216273698072933,1.1423770273493794,0.10367663090396664,rails,rails
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638,1.4118586680105611,0.06456898058310845,1.1501609705911462,0.10951092845684429,rails,rails
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639,1.3967682876783165,0.1485924133788038,1.6871852954909794,0.06707333627157838,rails,rails
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640,1.4996716570000357,0.06112290861561854,1.1651666480742113,0.0997473639611498,rails,rails
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641,1.225095844028429,0.0993551054255449,1.7089215479291924,0.08155515408707645,rails,rails
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642,1.093754910731526,0.17147581763181996,0.7926406055734377,0.05953212149116822,rails,rails
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643,1.1845916501607001,0.07633249228548439,1.5577186691984917,0.08631834842186996,rails,rails
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644,1.528406764405539,0.05694191273720053,1.4356888033288766,0.05090264700005405,rails,rails
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645,1.2339818427293887,0.09573224475008416,1.490705095894802,0.09066258383585907,rails,rails
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646,1.4840228522703713,0.08748181840458198,1.5784932417387176,0.06823904493307534,rails,rails
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647,1.662485841491174,0.06237464763417152,1.326283870489011,0.03564962317022989,rails,rails
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648,1.2034977914288278,0.11918166978050984,0.9772797342075444,0.04355117649125686,rails,rails
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649,1.1786700310952523,0.1228787002229973,1.3531889184251429,0.08916001844937362,rails,rails
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650,1.4462241838682814,0.075721643958319,1.4453913046760833,0.08494236535024056,rails,rails
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651,1.423030886332265,0.11961612231197681,1.3540718990549678,0.12332277782625688,rails,rails
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652,0.8360842546405984,0.14260821647807082,1.0643730788632835,0.26589001160448744,rails,rails
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653,0.9166782836732594,0.15247007864115997,1.4250974115378403,0.21187978124701137,rails,rails
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654,0.9103309760717792,0.08049778925335113,0.9818185349238336,0.09284122499007717,rails,rails
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655,1.3555705015312678,0.09388874775651511,1.0481955245463677,0.0805637819168288,rails,rails
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656,0.9280766790619579,0.08627051397078722,0.9282590577385325,0.11702311109441686,rails,rails
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657,1.1939182803212591,0.19559630799180175,1.0087062517644252,0.12070797083279937,rails,rails
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658,0.8305845919649795,0.17726449297854388,1.3575371346045513,0.13251324049750393,rails,rails
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659,1.319129340681395,0.06985732728967174,0.8953415098675035,0.08649379927786097,rails,rails
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660,0.7365713619598667,0.05353463248915999,0.7870612331073541,0.09836886531344063,rails,rails
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661,0.8942878332583678,0.149130791831289,1.1183879620140482,0.24692990037246842,rails,rails
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662,1.295795273789348,0.07801498100995924,0.9492564860158964,0.3844083091812703,rails,rails
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663,1.0842350694028315,0.1609302238953116,1.3814470352215313,0.3450462991081427,rails,rails
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664,1.2974561902549215,0.1720395767366947,1.045505661278435,0.13835959456624922,rails,rails
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665,0.9249887051657808,0.1765474374038838,1.3136548125910572,0.15667358457338848,rails,rails
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666,1.0436859692229992,0.10523172052967651,0.9615207539749426,0.20603688449614696,rails,rails
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667,0.9217551029622717,0.07519990269006205,1.3778027533584238,0.09215381919500325,rails,rails
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668,0.9895680896962692,0.1216509180694629,1.1811031507773468,0.1230010305168141,rails,rails
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669,1.3939722884407324,0.0975031503300395,1.131313032537528,0.11262886310541875,rails,rails
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670,1.1658497647006247,0.13194696143097298,1.2612751741050967,0.09501257718821175,rails,rails
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671,1.3753353756422597,0.07032584937556403,1.0205645520669502,0.09147754853306886,rails,rails
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672,1.04271564723469,0.06591452542675146,1.4583099374407948,0.1052820462213625,rails,rails
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673,1.2445475464418885,0.24892398458608067,1.2442591372673006,0.045235176606211756,rails,rails
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674,0.6427239357170909,0.3782042692590637,0.9871558227508428,0.10527125399860471,rails,rails
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675,1.189538500223814,0.449859667852385,0.9573525434820855,0.06830665903497266,rails,rails
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676,1.2023978587595072,0.13443106975531874,1.417072979450151,0.05721275651640196,rails,rails
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677,1.2112459500896895,0.15813654865817714,1.1498155055793895,0.03599285973406218,rails,rails
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|
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|
|
@ -0,0 +1,186 @@
|
|||
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||||
0,0.3423191246812878,0.0,0.27625081950606634,0.20118287372677413,tensorflow,tensorflow
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1,0.6047436138120932,8.845910599896206e-17,0.4229141604745205,0.09065060709752905,tensorflow,tensorflow
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2,0.9581490441160249,1.0630453824984136e-17,0.5263528537735774,0.21108041881448955,tensorflow,tensorflow
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3,0.9274300336489466,7.630227941033248e-16,0.9665481982092039,0.23518110637970974,tensorflow,tensorflow
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4,0.7128530209079432,1.6955891127371517e-16,1.062148424870146,0.16639604141262282,tensorflow,tensorflow
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5,0.877081434267708,1.4398433286107853e-16,1.0947782371273693,0.1272175065265157,tensorflow,tensorflow
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6,1.086582345237081,4.0589264942084376e-16,1.1203806858834806,0.13394719847185724,tensorflow,tensorflow
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7,1.13928914606642,2.2176363739344024e-16,1.2373621836210857,0.04923640421540528,tensorflow,tensorflow
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8,1.4572624947098767,1.8459317993146108e-16,1.1480445143371412,0.03399357908307809,tensorflow,tensorflow
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9,0.9599396840607269,1.0293312643605707e-15,1.3848492621569441,0.10504502125236746,tensorflow,tensorflow
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10,1.2730137367426353,4.560441167256971e-16,1.2369071459825414,0.04303788937741786,tensorflow,tensorflow
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11,0.6553967070979172,2.13827929122264,0.905795818382107,0.053931840116039784,tensorflow,tensorflow
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12,1.1680568360314731,0.2864677591547711,1.2444928001524853,0.10140640176296017,tensorflow,tensorflow
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13,0.9244147721929749,0.14261850338248033,1.6899490368107575,0.30177132870565265,tensorflow,tensorflow
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14,1.0673853826815463,0.27941577251285193,1.087652720956024,0.30136294460714447,tensorflow,tensorflow
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15,1.3035154103030453,0.364315604020647,1.0108356741321032,0.24509506398973802,tensorflow,tensorflow
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16,1.1872290142773487,0.3572209625356538,1.2028950632888247,0.17766816025809315,tensorflow,tensorflow
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17,1.272012686435609,0.22219769108052362,1.2317166991303055,0.10880411521385054,tensorflow,tensorflow
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18,1.33034872732792,0.3348767526308477,1.2920001089177704,0.16012248506479945,tensorflow,tensorflow
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19,1.1642067872129804,0.128456805750673,1.3125391104539927,0.14784559189705307,tensorflow,tensorflow
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20,1.2580293179591842,0.10177551990895665,1.1663282317008945,0.15162739807099193,tensorflow,tensorflow
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21,1.0866494115258285,0.23817229568666715,1.5411040352126506,0.3542495405303436,tensorflow,tensorflow
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22,1.650887308274147,0.0916308412480834,1.3114718636862983,0.21416026632594803,tensorflow,tensorflow
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23,1.0854381483989557,0.07886019921198703,1.4792777778185975,0.30006805008974696,tensorflow,tensorflow
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24,1.5208139991009904,0.08116411579831993,1.13342989052011,0.12867794770448066,tensorflow,tensorflow
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25,1.2611323698858046,0.3274495511794859,1.3495374704203111,0.1524427728625152,tensorflow,tensorflow
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26,1.0997557494550567,0.297966258110818,1.7095817805762619,0.21686426399240163,tensorflow,tensorflow
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27,1.5199694209653813,0.1778913387890276,1.5456104062322464,0.13424724976176963,tensorflow,tensorflow
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28,1.5440227341198043,0.13422765237389184,1.1478492937165898,0.14399536728342788,tensorflow,tensorflow
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29,1.6563505055624839,0.06424867616084018,1.3799831318606095,0.22227888541621157,tensorflow,tensorflow
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30,1.3984680849395057,0.15436067629451725,1.608542511225557,0.14750818868013935,tensorflow,tensorflow
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31,1.378178487889164,0.09081456830743177,1.4579055176388023,0.11244055264405138,tensorflow,tensorflow
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32,1.6542390440515093,0.09491724834491194,1.6811393823617893,0.0988740224706462,tensorflow,tensorflow
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33,1.5717142440720684,0.23720520418503777,1.8157788238147679,0.0960735612030375,tensorflow,tensorflow
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34,1.291591042418107,0.2030320563802513,1.7935365780076296,0.15869150540064866,tensorflow,tensorflow
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35,1.3084207120870073,0.3596723798479944,1.505774705908256,0.29046488668284803,tensorflow,tensorflow
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36,1.5811738176255292,0.1282993853701991,1.3972187156188614,0.1009279497217014,tensorflow,tensorflow
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37,1.4618926736177413,0.08965197396411324,1.7103594571873686,0.23510293591194276,tensorflow,tensorflow
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38,1.6687345513089387,0.20588773366347998,1.6186348054340458,0.07353838329796884,tensorflow,tensorflow
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39,1.835419957156677,0.08807821744892434,1.6147633301891726,0.1939095649392995,tensorflow,tensorflow
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40,1.8288724883695129,0.166914373031862,1.9110272465979876,0.11164972854782332,tensorflow,tensorflow
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41,1.7335423470494247,0.22293927154923782,1.879925383022653,0.16508985709021587,tensorflow,tensorflow
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42,1.7302011769709398,0.21410322389100955,1.4191631929006876,0.1749477782187707,tensorflow,tensorflow
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43,1.3273553371135536,0.1464098075689774,1.5946307863271532,0.1922044748655497,tensorflow,tensorflow
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44,1.3928049729656833,0.1211696249747655,1.2496001818604068,0.1043455925520327,tensorflow,tensorflow
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45,1.4550030659933335,0.1412455924571749,2.061429581448261,0.32122842387139805,tensorflow,tensorflow
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46,1.6365423667772316,0.13401823232446863,1.2753348321605855,0.18542623221231894,tensorflow,tensorflow
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47,1.329379386154742,0.2560085216193826,1.5066859414609968,0.1869561314146043,tensorflow,tensorflow
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48,1.0555848042627578,0.09472394404930198,1.6585805816407189,0.29537725970888734,tensorflow,tensorflow
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49,1.2783321061116109,0.2054699793827476,1.1937734920515184,0.14038832564324646,tensorflow,tensorflow
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50,1.202420461645724,0.11073019797218728,1.2473272886845674,0.23274395976466516,tensorflow,tensorflow
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51,1.417112249602549,0.18621788520156918,1.2094473685051943,0.1732529171009159,tensorflow,tensorflow
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52,1.3487678149849964,0.12410347164123339,1.4491324781321815,0.2052060596660828,tensorflow,tensorflow
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53,1.1776493032980333,0.13784018286563474,1.3370192252906568,0.171495895202565,tensorflow,tensorflow
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54,1.4292590542106574,0.11833232284467442,1.2950069812782241,0.4032624640734174,tensorflow,tensorflow
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55,1.3198325730581186,0.14656341233898892,1.3033253099046123,0.31834924180303753,tensorflow,tensorflow
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56,1.4732923563805858,0.07899946675538062,1.4221677894462674,0.21973245004267994,tensorflow,tensorflow
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57,1.5412755838345908,0.2116015100513589,1.3469031291644302,0.08916160291693608,tensorflow,tensorflow
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58,1.2576100975678874,0.1679186657772518,1.6941887632604824,0.2500601594347455,tensorflow,tensorflow
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59,0.5251593852697416,0.19786140306556776,1.829353813998997,0.571036286603944,tensorflow,tensorflow
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60,1.0209241369429483,0.3062633144838202,0.23009263854768572,0.1248513971776835,tensorflow,tensorflow
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61,0.8653110523816019,0.11627550600164056,0.4398492784527611,0.27702457019435023,tensorflow,tensorflow
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62,1.295515769174457,0.20990891389226068,1.1312386872005007,0.21991705172240114,tensorflow,tensorflow
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63,1.4402276834374965,0.15206009785638497,1.31202404865727,0.14289047049943054,tensorflow,tensorflow
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64,1.491403388747933,0.16892482246213006,1.4053551723722275,0.144844003971933,tensorflow,tensorflow
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65,1.5079461130759402,0.1458269291969373,1.4629030816957471,0.4042419644815878,tensorflow,tensorflow
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66,1.2343935583071886,0.3344612320709027,1.6508936881979135,0.3006621874357802,tensorflow,tensorflow
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67,1.1345218488629047,0.27329482848312675,1.477750650750794,0.35329677229910583,tensorflow,tensorflow
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68,1.2198488097668108,0.2056494374276983,1.1495008086495615,0.38786694381495784,tensorflow,tensorflow
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69,1.4564599938037077,0.06201256980087871,1.0656972702958822,0.195043246937392,tensorflow,tensorflow
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70,1.4065177950644632,0.21242605551063093,1.4335372377217455,0.19042542052093225,tensorflow,tensorflow
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71,1.4658258240775046,0.45206890798471683,1.84636523203713,0.28967928475120897,tensorflow,tensorflow
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72,1.718301887758019,0.0644965953945832,1.4653679520723433,0.1851222160873236,tensorflow,tensorflow
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73,1.4220249527609918,0.2003814706419525,1.6112921710888672,0.09947171811967048,tensorflow,tensorflow
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74,1.6781357997499369,0.1864472521768417,1.478824930055473,0.08265219019395466,tensorflow,tensorflow
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75,1.1969502670828085,0.1406620229444601,1.5464709931851117,0.29449105444911894,tensorflow,tensorflow
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76,1.5447684055451167,0.11663747235306134,1.6554106148368395,0.2583650836509552,tensorflow,tensorflow
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77,1.5124644653053778,0.32349307368843644,1.3858600421816691,0.1427208505347718,tensorflow,tensorflow
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78,1.478038643862752,0.2693332021366789,1.6202407994735342,0.22493853656710067,tensorflow,tensorflow
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79,1.6151236533898823,0.24608979812924855,1.6672819784433597,0.153370815344666,tensorflow,tensorflow
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80,1.5099462177771636,0.3879820599558215,1.4047229389656726,0.1077477821009462,tensorflow,tensorflow
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81,1.581978666821386,0.1673130626914336,1.690683032850442,0.11025186298486316,tensorflow,tensorflow
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82,1.4609984315801432,0.276836905086895,1.5585118901529884,0.21557131035936078,tensorflow,tensorflow
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83,1.528730513975972,0.3419382440387855,1.5764113121653813,0.15566347764266314,tensorflow,tensorflow
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84,1.5197589790141595,0.24646181862030697,1.534503009337567,0.23895023948092892,tensorflow,tensorflow
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85,1.18177532263046,0.13200693521210158,1.0974685130048847,0.20329076241220018,tensorflow,tensorflow
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86,1.333140751300313,0.10086555049557898,1.3453487273668672,0.07673815845006209,tensorflow,tensorflow
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87,1.453885343335832,0.37082819612357737,1.8088029370883818,0.12668869039563382,tensorflow,tensorflow
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88,1.7033982332737274,0.2874525459612675,1.7305728926488517,0.23868949799247594,tensorflow,tensorflow
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89,1.092191148733831,0.19967855243779606,2.0655850140837795,0.29501474377244286,tensorflow,tensorflow
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90,1.3098151959875517,0.26385373162245407,0.8222584218315667,0.18847449608431527,tensorflow,tensorflow
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91,1.0856449321333475,0.21078609576907656,1.2021125550129046,0.32012880903859203,tensorflow,tensorflow
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92,1.5152728394754338,0.12619529457156456,1.0517144116902775,0.17811898488841035,tensorflow,tensorflow
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93,1.5798162777812923,0.11449620760231183,1.6357139908841865,0.11497275119331568,tensorflow,tensorflow
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94,1.4103745573490767,0.2206738529173768,1.5193826437708937,0.1710440894545041,tensorflow,tensorflow
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95,1.7484675157773353,0.16192023714937476,1.4761890160537068,0.1649898438681393,tensorflow,tensorflow
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96,1.3090391024523413,0.29112159825840855,1.5978979113460443,0.13391971801898644,tensorflow,tensorflow
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97,1.3098947319553247,0.21053734118361936,1.1941013683816961,0.12425302783061945,tensorflow,tensorflow
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98,0.9942846689242426,0.09644490795909821,1.3477769590340751,0.17340263410685391,tensorflow,tensorflow
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99,1.1733359997383497,0.14563329929871044,1.1559428459287735,0.18617338368381006,tensorflow,tensorflow
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100,1.5401698931449053,0.23034079747053365,1.4515116905131078,0.1959931617280855,tensorflow,tensorflow
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101,1.7155322162054936,0.34563551340128723,1.7570846167690692,0.11377924959689625,tensorflow,tensorflow
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102,0.7177922637066466,0.1778383721181281,2.1700538389965045,0.45283986986312275,tensorflow,tensorflow
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103,1.3360186794209779,0.3080967257814515,0.6405495707519641,0.25263274018943865,tensorflow,tensorflow
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104,1.1834710864754965,0.17961479530355115,0.8988725521559806,0.39951618444182313,tensorflow,tensorflow
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105,1.608912148988393,0.12994607760993807,1.2629537881131128,0.22246315522779167,tensorflow,tensorflow
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106,1.3913053285395862,0.1596141872962386,1.501746266534926,0.09930618182722767,tensorflow,tensorflow
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107,1.4019277420720797,0.18682066399056182,1.2523504738637765,0.24848360276592468,tensorflow,tensorflow
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108,1.237133339044891,0.1501891559674253,1.111323410665583,0.159609007527255,tensorflow,tensorflow
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109,0.38663314912031904,0.14265148798059898,2.0968746319484795,0.4005730337806371,tensorflow,tensorflow
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110,0.5018625956164027,0.18111452973571318,0.42700123257980066,0.2704206889574178,tensorflow,tensorflow
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111,1.3155944368017407,0.17930047572952437,0.532600234029466,0.18990283307814657,tensorflow,tensorflow
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112,1.557360903017328,0.17192303245850815,1.014755088423973,0.12802699783948254,tensorflow,tensorflow
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113,1.2321339849131512,0.12008299408954384,1.4674900218754716,0.20784424557147627,tensorflow,tensorflow
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114,1.1756046318693105,0.4595023005907755,1.2897288867201842,0.18319333624398715,tensorflow,tensorflow
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115,1.3241952560591745,0.21740567951533804,1.1551679895350977,0.19256537914400104,tensorflow,tensorflow
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116,1.4696915088649205,0.24703658100106565,1.5907091137443543,0.1535156166762232,tensorflow,tensorflow
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117,0.41553382831515323,0.21946336211699072,1.9074931233899335,0.3892848757109075,tensorflow,tensorflow
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118,1.4871254432991539,0.10058580388525085,0.3460119372673798,0.1452218523263956,tensorflow,tensorflow
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119,0.3242923612670755,0.2608987656683249,1.477399891000534,0.5639086704747824,tensorflow,tensorflow
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120,0.7995065133794468,0.14259594187617392,0.21246723377416338,0.2746351611376891,tensorflow,tensorflow
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121,1.101811102108108,0.35600557561599216,0.732364962095452,0.20619622304133065,tensorflow,tensorflow
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122,1.8388086704686788,0.2525515638500834,1.3601232413786042,0.1842214785220229,tensorflow,tensorflow
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123,1.4093739863060872,0.17010870575255096,1.3546580421765537,0.08470330077798054,tensorflow,tensorflow
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124,1.5919880245155644,0.09863097255802428,1.473486752408115,0.12103619829699196,tensorflow,tensorflow
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125,1.509497231564794,0.21195462034402365,1.6059227813217132,0.18122671790609632,tensorflow,tensorflow
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126,1.0981732059967664,0.21165103041518163,1.8551637816938573,0.32574683912706287,tensorflow,tensorflow
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127,1.2925735083064425,0.20382908612715994,0.9995165019981398,0.21718922306381405,tensorflow,tensorflow
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128,1.0686943873377057,0.1448920895667268,0.7800325338091879,0.1528791460807148,tensorflow,tensorflow
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129,1.5812471478635957,0.4372610196492268,1.5417352725078426,0.12079741614679741,tensorflow,tensorflow
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130,1.7566425016053882,0.10013993081934391,1.7349421579098545,0.16734500807748204,tensorflow,tensorflow
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131,1.6685300378492955,0.5307880389154847,1.894597581340516,0.11315807491488487,tensorflow,tensorflow
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132,1.6852642911036257,0.2927970088503877,1.7081575292382727,0.16024778320610902,tensorflow,tensorflow
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133,1.6575922793977713,0.26477162384597447,1.8667948596744444,0.1396401979145397,tensorflow,tensorflow
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134,1.6785310938671338,0.213735230093199,1.5464094936544752,0.15053785482153204,tensorflow,tensorflow
|
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135,1.693648013345941,0.11282517451715213,1.6681537075553903,0.11206076776109014,tensorflow,tensorflow
|
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136,0.5474686651923911,0.19798429791831756,2.2570873629382073,0.3605259385783419,tensorflow,tensorflow
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137,0.8536362303262314,0.2225579050987006,0.6053428652032584,0.2646351338809178,tensorflow,tensorflow
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138,1.412163202776749,0.3957993486146437,0.6866520133364448,0.310989579026102,tensorflow,tensorflow
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139,1.7299863290317261,0.2564549480111612,1.2933624012553941,0.25776206222091413,tensorflow,tensorflow
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140,1.6675370841091357,0.14748456695766796,1.6633114272936327,0.12101947666697578,tensorflow,tensorflow
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141,1.5619724093054927,0.1354706464814598,1.5184413774988856,0.11509438736595266,tensorflow,tensorflow
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142,1.6528243547122043,0.20327763182246758,1.7699422962592986,0.23650207915511398,tensorflow,tensorflow
|
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143,1.4013960209649152,0.14252677527663432,1.2344829679793325,0.11459527751187654,tensorflow,tensorflow
|
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144,1.6566071299467195,0.12263672927040313,1.7431678204248744,0.1692812342414476,tensorflow,tensorflow
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145,1.8253660123800122,0.12645357335605414,1.734949577026766,0.13049475194144508,tensorflow,tensorflow
|
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146,1.3227243001424698,0.15509172546601122,1.493312932953958,0.1708964806124499,tensorflow,tensorflow
|
||||
147,1.6102987429068445,0.0937508959537269,1.541830685572783,0.08730322779364177,tensorflow,tensorflow
|
||||
148,1.3998244344460706,0.36055282677534206,1.7231856775715197,0.18642419993723452,tensorflow,tensorflow
|
||||
149,2.1395082163526475,0.2530791359858936,1.8195268913451348,0.14927810088421575,tensorflow,tensorflow
|
||||
150,0.2728659646095907,0.2906551842380468,2.6691008786729626,0.5367715940833041,tensorflow,tensorflow
|
||||
151,1.1623555532569925,0.25131790318525915,0.205501802792619,0.16565686991056638,tensorflow,tensorflow
|
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152,1.2421460457165643,0.1561107903845941,0.5570353524714091,0.18975096485097934,tensorflow,tensorflow
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423,0.11641676194167723,0.08302712429692737,0.0,0.09940495647020542,vuejs,vue
|
||||
424,0.0,0.1643067780548464,0.0,0.04320890199207491,vuejs,vue
|
||||
425,0.0,0.26338750162361463,0.13232310998424532,0.1894420057119615,vuejs,vue
|
||||
426,0.19717080545211244,0.1641078004982689,0.1401381793370491,0.19210607345778724,vuejs,vue
|
||||
427,0.14242124899721414,0.12130628804172111,0.0,0.04807331422586493,vuejs,vue
|
||||
428,0.0,0.5432715719828148,0.0,0.11945347570405637,vuejs,vue
|
||||
429,0.0,0.14923770459551333,0.0,0.08389251746997607,vuejs,vue
|
||||
430,0.0,0.4093385933844108,0.0,0.14156411897463242,vuejs,vue
|
||||
431,0.0,0.1742113714067418,0.18962346854309503,0.3085516501375035,vuejs,vue
|
||||
432,0.0,0.13228364571336504,0.0,0.13725066691861496,vuejs,vue
|
||||
433,0.0,0.11273689544185492,0.0,0.15532771182357955,vuejs,vue
|
||||
434,0.04195876684746475,0.14960074240836285,0.1474146577934865,0.10463036730201078,vuejs,vue
|
||||
435,0.0,0.166912440092888,0.0,0.5446381286951733,vuejs,vue
|
||||
436,0.35811483607047534,0.04422818873558037,0.07922927659097061,0.2774201336451575,vuejs,vue
|
||||
437,0.13290690028912328,0.21397182361061676,0.0,0.025897799905097437,vuejs,vue
|
||||
438,0.12686521304509132,0.2125056708278543,0.7239091390271897,0.25387486986051233,vuejs,vue
|
||||
439,0.17876740633889623,0.049062543670412545,0.41201351432209765,0.0702263471872965,vuejs,vue
|
||||
440,1.1221961400481295,0.07034129714292413,0.1969939544788809,0.07435458292206665,vuejs,vue
|
||||
441,0.1969939544788809,0.04730153586391152,1.335669805187448,0.48551252868813555,vuejs,vue
|
||||
442,0.2331282811441217,0.08629372812211658,0.08362978125559552,0.3442871539804395,vuejs,vue
|
||||
443,0.0,0.23317414320941993,0.0,0.0,vuejs,vue
|
||||
444,0.23146740978728322,0.11889803799913029,0.0,0.04721579688113166,vuejs,vue
|
||||
445,0.6484491670834563,0.13263765243733006,0.0,0.1310309681157509,vuejs,vue
|
||||
|
|
|
@ -0,0 +1,39 @@
|
|||
import React ,{ useEffect } from 'react';
|
||||
import echarts from 'echarts/lib/echarts';
|
||||
import 'echarts/lib/chart/line';
|
||||
|
||||
function Line({data}) {
|
||||
useEffect(()=>{
|
||||
Init();
|
||||
},[])
|
||||
|
||||
function Init() {
|
||||
var huan_val = document.getElementById("line");
|
||||
var myEcharts = echarts.init(huan_val);
|
||||
let option = {
|
||||
xAxis: {
|
||||
type: 'category',
|
||||
data: ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']
|
||||
},
|
||||
yAxis: {
|
||||
type: 'value'
|
||||
},
|
||||
series: [
|
||||
{
|
||||
data: [150, 230, 224, 218, 135, 147, 260],
|
||||
type: 'line'
|
||||
},
|
||||
{
|
||||
data: [100, 200, 290, 300, 100, 140, 260],
|
||||
type: 'line'
|
||||
}
|
||||
]
|
||||
};
|
||||
myEcharts.setOption(option);
|
||||
}
|
||||
|
||||
return(
|
||||
<div id="line" style={{height:"400px"}}></div>
|
||||
)
|
||||
}
|
||||
export default Line;
|
||||
|
|
@ -0,0 +1,55 @@
|
|||
import React ,{ useEffect } from 'react';
|
||||
import echarts from 'echarts/lib/echarts';
|
||||
import 'echarts/lib/chart/pie';
|
||||
|
||||
function Pie({data}) {
|
||||
useEffect(()=>{
|
||||
Init();
|
||||
},[])
|
||||
|
||||
function Init(d) {
|
||||
var huan_val = document.getElementById("Pie");
|
||||
var chart = echarts.init(huan_val);
|
||||
let option = {
|
||||
title: {
|
||||
text: 'Referer of a Website',
|
||||
subtext: 'Fake Data',
|
||||
left: 'center'
|
||||
},
|
||||
tooltip: {
|
||||
trigger: 'item'
|
||||
},
|
||||
legend: {
|
||||
orient: 'vertical',
|
||||
left: 'left'
|
||||
},
|
||||
series: [
|
||||
{
|
||||
name: 'Access From',
|
||||
type: 'pie',
|
||||
radius: '50%',
|
||||
data: [
|
||||
{ value: 1048, name: 'Search Engine' },
|
||||
{ value: 735, name: 'Direct' },
|
||||
{ value: 580, name: 'Email' },
|
||||
{ value: 484, name: 'Union Ads' },
|
||||
{ value: 300, name: 'Video Ads' }
|
||||
],
|
||||
emphasis: {
|
||||
itemStyle: {
|
||||
shadowBlur: 10,
|
||||
shadowOffsetX: 0,
|
||||
shadowColor: 'rgba(0, 0, 0, 0.5)'
|
||||
}
|
||||
}
|
||||
}
|
||||
]
|
||||
};
|
||||
chart.setOption(option);
|
||||
}
|
||||
|
||||
return(
|
||||
<div id="Pie" style={{height:"400px"}}></div>
|
||||
)
|
||||
}
|
||||
export default Pie;
|
||||
|
|
@ -0,0 +1,41 @@
|
|||
import React ,{ useEffect } from 'react';
|
||||
import echarts from 'echarts/lib/echarts';
|
||||
import 'echarts/lib/chart/line';
|
||||
|
||||
function SmoothLine({data}) {
|
||||
useEffect(()=>{
|
||||
Init();
|
||||
},[])
|
||||
|
||||
function Init() {
|
||||
var huan_val = document.getElementById("smoothline");
|
||||
var myEcharts = echarts.init(huan_val);
|
||||
let option = {
|
||||
xAxis: {
|
||||
type: 'category',
|
||||
data: ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']
|
||||
},
|
||||
yAxis: {
|
||||
type: 'value'
|
||||
},
|
||||
series: [
|
||||
{
|
||||
data: [150, 230, 224, 218, 135, 147, 260],
|
||||
type: 'line',
|
||||
smooth: true
|
||||
},
|
||||
{
|
||||
data: [100, 200, 290, 300, 100, 140, 260],
|
||||
type: 'line',
|
||||
smooth: true
|
||||
}
|
||||
]
|
||||
};
|
||||
myEcharts.setOption(option);
|
||||
}
|
||||
|
||||
return(
|
||||
<div id="smoothline" style={{height:"400px"}}></div>
|
||||
)
|
||||
}
|
||||
export default SmoothLine;
|
||||
|
|
@ -5,7 +5,7 @@ ul,ol,dl{
|
|||
overflow: inherit;
|
||||
}
|
||||
.markdown-body a{
|
||||
color: #6e90ff;
|
||||
color: #466AFF;
|
||||
}
|
||||
.markdown_anchors{
|
||||
position: relative;
|
||||
|
|
|
|||
Loading…
Reference in New Issue