小编ama*_*ouq的帖子

无法使用Meteor读取未定义的属性'bcrypt'

我遵循基本教程使用TurkServer,但我从一开始就收到错误.

我跑的时候得到的错误:流星 --settings settings.json

W20160615-01:19:27.320(-4)? (STDERR) 
W20160615-01:19:27.406(-4)? (STDERR) ~/.meteor/packages/meteor-tool/.1.3.3.b5ue33++os.osx.x86_64+web.browser+web.cordova/mt-os.osx.x86_64/dev_bundle/server-lib/node_modules/fibers/future.js:280
W20160615-01:19:27.406(-4)? (STDERR) 
throw(ex);
W20160615-01:19:27.407(-4)? (STDERR) 
     ^
W20160615-01:19:27.407(-4)? (STDERR) TypeError: Cannot read property 'bcrypt' of undefined
W20160615-01:19:27.407(-4)? (STDERR)     at AccountsServer.Accounts._checkPassword (packages/accounts-password/password_server.js:68:33)
W20160615-01:19:27.407(-4)? (STDERR)     at ~/interactiveEstimation/.meteor/local/build/programs/server/packages/mizzao_turkserver.js:4881:18
W20160615-01:19:27.407(-4)? (STDERR)     at ~/interactiveEstimation/.meteor/local/build/programs/server/boot.js:298:5
=> Exited with code: 8
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我的设置文件:

{
  "turkserver": {
    "adminPassword": "mmaatouq95",
    "experiment": {
      "limit": {
      }
    },
    "mturk": {
      "accessKeyId": "AKIAJDDHTM3IRYMWUX7Q",
      "secretAccessKey": "eeTud7Gml3Yz6XD9gWLUZzsJokoie2rEq"
    }
  }
}
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这似乎是Meteor的普遍问题,而不是TurkServer(项目文件https://www.dropbox.com/s/ppgbuwv4k3imbt5/interactiveEstimation.zip):

javascript meteor

5
推荐指数
1
解决办法
286
查看次数

在pandas中查找与数组匹配的列名

我有一个大型数据帧(5000 x 12039),我想获得与numpy数组匹配的列名.

例如,如果我有桌子

        m1lenhr m1lenmin    m1citywt    m1a12a  cm1age  cm1numb m1b1a   m1b1b   m1b12a  m1b12b  ... kind_attention_scale_10 kind_attention_scale_22 kind_attention_scale_21 kind_attention_scale_15 kind_attention_scale_18 kind_attention_scale_19 kind_attention_scale_25 kind_attention_scale_24 kind_attention_scale_27 kind_attention_scale_23
challengeID                                                                                 
1   0.130765    40.0    202.485367  1.893256    27.0    1.0 2.0 0.0 2.254198    2.289966    ... 0   0   0   0   0   0   0   0   0   0
2   0.000000    40.0    45.608219   1.000000    24.0    1.0 2.0 0.0 2.000000    3.000000    ... 0   0   0   0   0   0   0   0   0   0
3   0.000000    35.0    39.060299   2.000000    23.0    1.0 2.0 0.0 2.254198 …
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python numpy dataframe pandas

5
推荐指数
2
解决办法
701
查看次数

Meteor.user()未在客户端上显示自定义字段

我在创建帐户,发布字段和订阅该出版物时为我的用户添加自定义字段,但我Meteor.user().customField无法在客户端访问该字段.

所以在我imports/api/users/users.js添加以下代码片段:

import { Random } from 'meteor/random'
Accounts.onCreateUser((options, user) => {
    const cond = assignUserCondition();
    user.enterTime= new Date();
    user.page = null;
    user.passedQuiz= false;
    user.exitStatus=null;
    user.quizAttempts= 0;
    user.condition= cond;
    user.avatar= null;
    user.score= 0;
    user.bonus= 0;
    user.lobbyTimeout= LOBBY_TIMEOUT;
    user.gameId= null;
    user.condInfo = {name: cond,
        groupSize: (cond+'GROUPS_SIZE').split('.').reduce((o, i) => o[i], CONDITIONS_SETTINGS),
        bonusConversion: (cond+'BONUS_CONVERSION').split('.').reduce((o, i) => o[i], CONDITIONS_SETTINGS),
        N_ROUNDS: (cond+'N_ROUNDS').split('.').reduce((o, i) => o[i], CONDITIONS_SETTINGS),
    };
    return user;
});
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然后,从meteor mongo我验证创建的用户确实有我添加的新自定义字段.现在,在 imports/api/users/server/publications.js我有以下片段:

import {Meteor} from 'meteor/meteor'
Meteor.publish('users.user', …
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javascript mongodb meteor meteor-accounts

1
推荐指数
1
解决办法
176
查看次数

摆脱mongodb集合中的_id

我知道不可能删除_idmongodb集合中的字段.但是,我的集合的大小很大,该_id字段上的索引阻止我加载RAM中的其他索引.我的机器有125GB的RAM,我的收集统计数据如下:

 db.call_records.stats()
{
    "ns" : "stc_cdrs.call_records",
    "count" : 1825338618,
    "size" : 438081268320,
    "avgObjSize" : 240,
    "storageSize" : 468641284752,
    "numExtents" : 239,
    "nindexes" : 3,
    "lastExtentSize" : 2146426864,
    "paddingFactor" : 1,
    "systemFlags" : 0,
    "userFlags" : 1,
    "totalIndexSize" : 165290709024,
    "indexSizes" : {
        "_id_" : 73450862016,
        "caller_id_1" : 45919923504,
        "receiver_id_1" : 45919923504
    },
    "ok" : 1
}
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当我执行如下查询时:

db.call_records.find({ "$or" : [ { "caller_id": 125091840205 }, { "receiver_id" : 125091840205 } ] }).explain()
{
    "clauses" : [ …
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mongodb pymongo mongodb-query

0
推荐指数
1
解决办法
543
查看次数