+Enter Full Sudo ID : 257814879 #


esto es caca de vaca


再稿-大同是谁-云乐r-002

“是这个词像一个幽灵般——无影无踪，却又无处不在。”幽灵加个 引号吧


The improvement would be to use it here:
```java
...
string(createKey(name));
...
```
and `#createKey()` would look like:
```java
protected String createKey(String name) {
    return name;
}
```
WDYT?


@cljansse I found it confusing that the full table of contents was only appearing later, so I've moved that [to the front](https://openwebslides.github.io/artevelde_onderwijsdag/#toc-what). Let me know if that doesn't work for you, then I'll roll it back. Other than this, I'll stay out of your part :wink:


Please update plugin in AppMan


chyba je cervena, to si vsimnes. aj ti napise na konci ze errors. preto to neberiem ako dovod na cheatovanie :)


再稿-大同是谁-云乐r-002

“勤恳的工人们取下乌黑的手套，从工厂里走了出来，朴实的农夫们扛起他们的锄头，烧掉了地主的庄园。”工人跟农民之间是不是要加个分号 还有 农民放下锄头烧掉庄园吧 这样的话工人是不是也要写罢工或者什么的啊


@fschr Oops


ak bude dlhie trvat situacia ze tam bude privela warnings ktore zaplavuju konzolu, tak to skonci tak ze si cely ten linter vypnem.. lebo sa z toho stane nastroj ktory viac skodi nez pomaha.


再稿-大同是谁-云乐r-002

“我们常常低估了思想的传播性，和物质不同”中间的逗号 去了 感觉好些


⭐は居るでしょう＞＜


jj


Ja - willkommen :)


The original method look like follows: https://github.com/openjson/openjson/blob/9a65533c7871fb88d28b60f5e7a298f028a87c31/src/main/java/com/github/openjson/JSONStringer.java#L328

It prints name char by char to internal buffer, to implement your suggestion it will be required to break this logic
Do you think it is a good idea?


@datafool I've just followed the instructions in tmpenv and it worked for me
```
cd pymc3
virtualenv tmp
. tmp/bin/activate
pip install -r requirements.txt
python
>>> import pymc3
>>> pymc3.gp
<module 'pymc3.gp' from '/Users/ferres/dev/pymc3/pymc3/gp/__init__.py'>
```


OK - I've been a bit stupid!

Just change albumart.js to the following;

`			albumart(decodedArtist, null, decodedResolution, function (err, url) {`

and all works fine.


padding теперь фиксированный на всех версиях (20px, 40px, 130px).


this creates PHP notices, because the following lines expect an array from fetch_all(). You could change this line to fetch_all() or use code similar to https://github.com/slims/slims8_akasia/blob/master/admin/modules/circulation/fines_list.php#L195-L199 or only check the number of returned rows


Do you understand why this produced non-200 responses? reproducible? log as error?


`event.getMatch().getParticipatingPlayers().size()`?


`new HeaderComponent(ChatColor.RED)`


No prave ze tie warningy treba fixovat a nie cakat kym ich bude tolko ze nebudu pouzitelne. Docasne je mozne warning nejakeho druhu vypnut v `.eslintrc.json` namiesto cheatovania, ako som uz spravil pre nejake (je to teraz taky interny TODO list).


Cache::$type($guid, $step);     $type这个是Cache的方法吗？


There is a method on bluebird promises [`Promise.each`](http://bluebirdjs.com/docs/api/promise.each.html) that has a few replica implementations. I would think that is your best bet.


There was no response at all (your screenshot specified -1 in the debug panel which means the request hasn't completed) so most probably it got stuck during requesting. If a response returned at all with a non-200 exit code, you would get a popup with the specific error. Understanding where and why the request exactly got stuck in the core is non-trivial and requires something like a profiler or interactive debugger running at runtime.


Sweet 👍


preco to vlastne robis cez stav? tym padom je v state odvodena hodnota z props co je antipattern.


This can in theory be removed, instead use:

IdentifiableObjectUtils.getIdMap( list, IdScheme.ID );


I'll work this out.


project


ok , I am correcting the space


Im not sure you guys noticed that but there was a bigger arma 2 and arma2 oa update a few days ago (03/15). After that my server gave me this error again. So I think there is something broken with the corepatch perhaps?

`21:47:34 Error in expression <;
_recompile = (count _this) > 0;

if (BIS_fnc_init && !_recompile) exitwith {t>
21:47:34   Error position: <BIS_fnc_init && !_recompile) exitwith {t>
21:47:34   Error Nicht definierte Variable in Ausdruck: bis_fnc_init
21:47:34 File ca\Modules\Functions\init.sqf, line 28`


@RainoBoy97 Have to change variable name, but its value should be the total amount of players because in some maps it would be impossible to get on a bigger rotation if team sizes weren't big enough.


comment to


Thanks, wasn't aware this existed. :heart:


This breaks backwards compatibility for children classes without bumping the major version!
If a class inherits from Mustache, it now needs to call `super()` in its constructor (or an exception is raised due to `nil` `@options`), which was not necessary before.

See e.g. https://github.com/discourse/onebox/pull/350/files


It was done by coala space modification , I did not do it .


sesnor?


Injecting `OnlinePlayers` is probably the proper way


findItem(key) 会遍历这个数组吧，凡遍历，都要将全部内容拿出来看一遍，总是复杂度很高的。这findItem显然是个只读操作，为什么不将findItem的结果暂存下来，return 时直接使用呢？这不是用少量空间换取大量时间的典型事例么？
虽然两层遍历和一层遍历的复杂度是同一数量级的，但也是同一数量级的，也是一倍的差距，别拿豆包不当干粮啊！


TODO: Media codec configuration (media_codecs.xml) may corrupt, as MK71.1 on hydrogen CAN NEITHER RECORD VIDEO nor RECORD SOUND! @TheStrix


お稽古画面からスタートを選んだとき、音楽がとまってしまう
スキップ選択をみた[if exp="f.skip_sentaku==1"]のとき一回のみ音楽停止とスキップをとばしてほしいです


Images were pushed in the wrong directory @Jeyveen7. Should have been `assets/images/speakers`


ahh..........
Don't mind. I will modify it later.


I'm sorry :\ I'll see about reverting and doing a major version bump


Hi,
while having a look to learn,
I noticed that, most probably, the DISABLE_EXPLICIT_SYNC macro should be renamed to DISABLE_IMPLICIT_SYNC.

Mauro


are you using the beta for A2? If you are using the beta the A2 corepatch is deleted, so do not run the Beta branch. Otherwise, playing last night I do not have the error posted above in my RPT


thanks @RainoBoy97


Why rename? GPUArrays was much clearer IMO.


can you help me in doing remaining code. What should be done?


mas pravdu, odstranil som stav v513c085d.


I would recommend adding $(filter-out KERNELRELEASE=%,$(KERNEL_MAKE_FLAGS)) to RUN_STUFF and leaving out KERNEL_MAKEOPTS.


Because it's not only for GPUs, with the pure julia threaded backend....


🍻 btw, 這個不錯： https://hexo.io/


It's maybe useful to make this more general so you can support any given number of Antidote nodes, not only 3.
You can implement it by modifying the [configuration file](https://github.com/WoolridgeGrant/S3/blob/proto/S3+Antidote/config.json#L51) to make the "Antidote" field an array


`query` is the deprecated webpack 1 name. `options` is the new name.


PrepFor87 (Myoldmopar) - x86_64-MacOS-10.9-clang: OK (2489 of 2490 tests passed, 0 test warnings)

![Build Badge](http://img.shields.io/badge/build%20status-passing-green.png) ![Test Badge](http://img.shields.io/badge/tests%20passed-99.96%25-yellow.png)


这是一个非常投机取巧的做法，仅保证在save时的结果是正确的。如果注释后我依然通过getItemValue去查找，只要在key上稍作手脚依然能找到。
更关键的地方在于此时依然是个Item 而 save后重新读取的时候就变成了正常的note，这显然是不合理的。
save函数的含义是数据持久化，这样在一个做饭让save前后数据的格式不同，便砸了save函数的招牌了！！！


For all these `Foo.js` files it might be cleaner to do `export default class Foo {`. Then you can import using `import Foo from "./Foo.js"`.


I think you mixed up some different versions 'cause the `<br>` tags are `<br />` again and there are tabs again


Classic JavaScript mistake! Nice catch!


Add a test on the existence of UNUserNotificationCenter here to avoid crash on SDKs earlier than iOS10


Для этого надо чтобы число равное произведению катета на корень из двух было равно длине гипотенузы а корень из двух число довольно длинное или точнее говоря его можно продолжать бесконечно то есть ввод таких параметров невозможен даже если мы сделаем 5, 5, 7, то 49 не равно 50 хоть и близко. Я думал об этом но потом столкнувшись с этим отказался от этой мысли


А, сегодня с тестов плохую новость принёс, в общем: проверь опции игры, у меня падали из-за невозможности проверить обновление, т.е. глупо из-за url сервера. Пришлось немного покостылить скрипты. У себя бы тоже проверил.


Yea, it happens when core isn't synchronized with translations...


Как много у нас сделано, а скоро сдавать


@locks Alternatively, you could do something like:

```
private

def options
  @options ||= {}
end
```

And yank this version and do a minor version bump


каким методом можно найти наибольшее значение среди трех переменных в руби? мы методы еще не проходили. можно было бы конечно сделать массив который потом можно было отсортировать по величине но мы до этого еще не дошли


lol I just wanted to open an issue about that ^^


`collections.Counter(sequence)` would probably be much simpler and a bit faster


You can modify the function to take the number of Antidote nodes as argument.


Tip! All console methods can log any number of arguments, and not just strings. If you log an object, you’ll get a nice little interactive inspector for it. So it might be nice to do:

```js
export function logError(...args) {
    console.error(CONSOLE_PREFIX, ...args);
}


Sounds good! Can you make a PR with this change?


это надо писать еще один цикл который проверяет является ли число целочисленным?


I'm in the future man. xD


в условиях задачи было прописано так и поэтому я написал это. не более


ок исправлю


Hi,

I want to download mmallow source code for Geekbox. Please specify which build I have to download and with proper compilation steps.


What?


```
// mandatory segwit activation between Oct 1st 2017 and Nov 15th 2017 inclusive
if (    pindex->GetMedianTimePast() >= 1506816000                            // Sun Oct  1 00:00:00 UTC 2017
    &&  pindex->GetMedianTimePast() <= 1510704000                            // Wed Nov 15 00:00:00 UTC 2017
    && !IsWitnessEnabled(pindex->pprev, chainparams.GetConsensus())          // segwit not activated yet
    && (   (pindex->nVersion & VERSIONBITS_TOP_MASK) != VERSIONBITS_TOP_BITS // no BIP9 or no segwit
        || (pindex->nVersion & VersionBitsMask(chainparams.GetConsensus(), Consensus::DEPLOYMENT_SEGWIT)) == 0
       )
   )
    return state.DoS(0, error("ConnectBlock(): relayed block must signal for segwit, please upgrade"), REJECT_INVALID, "bad-no-segwit");
```


No sorry. I was referring to an annotation in the code!
On Fri, 24 Mar 2017 at 22:48, smarts <notifications@github.com> wrote:

> I'm assuming you didn't mean to @mention me in your commit? =)
>
> —
> You are receiving this because you authored the thread.
> Reply to this email directly, view it on GitHub
> <https://github.com/davegurnell/smartypants/commit/9f71b5fb8be2d66e5d7976fcc8be568c5d7bfad6#commitcomment-21483433>,
> or mute the thread
> <https://github.com/notifications/unsubscribe-auth/AAOI55v5o45uzgNnarMxawffXz98S8v2ks5rpEgsgaJpZM4MoLP0>
> .
>


I think too much detail, by definition LGPL must be compatible with the libraries we use otherwise we're in breach. This test makes it sound like we're using licenses wrong. We don't for example include and GPL libraries.


ArrayCompiler ?


@locks Sorry, I'd need to get an approval from my employer to make a PR :disappointed: It'll be much faster if someone else does it.


What's with this change?


@MAKOSCAFEE , Why remove the css folder?


OI, eu sou o Goku! :)


Fatal error: Call to a member function getTimestamp() on boolean in C:\xampp\htdocs\fusion\includes\defender\validation\date.php on line 35


If that is the case please reproduce it with a minimal test file and file a bug about that


actually the env var is exported already by **manjaro-base-skel** from [~/.profile](https://github.com/manjaro/desktop-settings/blob/master/shared/skel/.profile)
Not working?


I couldn't reproduce the failure.


Oooh you need to change in css folders within angular/ folder ... css in
public these are generated when gulp is run... so they are not to be pushed
to the repo

On Sun, 26 Mar 2017 at 16:16 Brian Michael Paul <notifications@github.com>
wrote:

> @MAKOSCAFEE <https://github.com/MAKOSCAFEE> , Why remove the css folder?
>
> —
> You are receiving this because you were mentioned.
> Reply to this email directly, view it on GitHub
> <https://github.com/MAKOSCAFEE/EcosystemMapping/commit/cccc686c35b79aa0decca7e3d4c5b19a41e84694#commitcomment-21490991>,
> or mute the thread
> <https://github.com/notifications/unsubscribe-auth/AGHL-jivUqL7iwhNuXHfPipM7hDcYdMFks5rpmUQgaJpZM4MpbGg>
> .
>


I really don't know why you have all these redundant `... || false` all over the place. Everyone knows that `p || false` is the same as just `p`.


为什么这里要返回 this.content 呢？为了链式调用，那应该返回this啊。
不为链式调用的话 应该什么都不返回或者返回这个新加的note啊。
@Vermouth1995


this logic looks incorrect


Im not running the beta. I checked all arma2 files and there were a few corrupt after that last update. I redownloaded the broken files and it works now.


[Your benchmark job](https://github.com/JuliaLang/julia/commit/94dfff8aebe1bb7da77057ba590e2fc4e58524e2#commitcomment-21489900) has completed - possible performance regressions were detected. A full report can be found [here](https://github.com/JuliaCI/BaseBenchmarkReports/blob/2b169ae563888ce15c8668aaa435b71b5cc786a5/94dfff8_vs_43fb9f0/report.md). cc @jrevels


Учитывая что пользователь может ввести вещественное число, такой возможности исключать не стоит


or AccelArrays, which finally makes the pun of what ArrayFire used to be called click - you have AbstractAccArray in here as a type name already right?


[Your benchmark job](https://github.com/JuliaLang/julia/commit/cc379ae24da80abc0267289e9e832cf7db2da3d2#commitcomment-21489899) has completed - possible performance regressions were detected. A full report can be found [here](https://github.com/JuliaCI/BaseBenchmarkReports/blob/cbeaab043ad2f8f2fabb84e5264e8d994dc3933f/cc379ae_vs_94dfff8/report.md). cc @jrevels


Ну вариант с массивом как раз рабочий. Мы в курсе не будем проходить всю стандартную библиотеку, так что не стоит бояться применять такие решения.


Yeah, I always get those words mixed up.


It also works (with a warning) with `./setup.py test --addopts='--no-cov'`.


为什么这里直接判断getItemPosition的值呢，要知道，如果这个key就在头一行？那么这里返回的可是 0 ，而 0 是被当成false看待的。并不是只有null才被当成false看待。


Нет, это значит что надо не `to_i` использовать, а другой метод, который преобразует в вещественное число


Yeah something like that was my second choice.
I'm not a big fan of Tensor either, but it seems to be the word the target audience is familiar with...


why?


this is all promests


Так если убрать `elsif` с условием и сделать обычный `else`, то будет то же самое - это не противоречит постановке задачи


Non je n'utilise pas Cython pour ce projet... juste ctypes. Cython et c++ ça ne fait pas bon ménage :/


@MAKOSCAFEE  and @Mloweedgar  - Why are css folders on public, these are required to be committed


Probably to avoid building with them.
See: https://github.com/minetest/minetest_game/issues/1647#issuecomment-288607092


let 和 const 命令


Spokojnie Konrad z tymi htmlami, zupełnie ich nie będziemy potrzebować :) Zapomniałem o obsłudze błędów, wygląda to mniej więcej tak pisząc na szybko, dodam wieczorem to do reacta i będzie banglać:

import React from 'react';
import { connect } from 'react-redux';

const ServerError = () => (

Server Error

Something broke on the server. Sorry about that.

);

const NotFound = () => (

Not Found

That resource doesn't exist. Sorry about that.

);
type Props = {
  errors: {
    // error: string,
    // exception: string,
    // message: string,
    // path: string,
    // timestamp: number,
    status: number
  }
};
const Errors = (props : Props) => {
  switch (props.errors.status) {
    case 500:
      return <ServerError />;
    case 404:
    default:
      return <NotFound />;
  }
};
/* Inject errors state and dispatch() into props */
export default connect(state => ({ errors: state.errors }))(Errors);


hjghjgh


Ach kurwa git sparsował kod XDD


PrepFor87 (Myoldmopar) - x86_64-Linux-Ubuntu-14.04-gcc-4.8: OK (2529 of 2530 tests passed, 0 test warnings)

![Build Badge](http://img.shields.io/badge/build%20status-passing-green.png) ![Test Badge](http://img.shields.io/badge/tests%20passed-99.96%25-yellow.png)


为什么当没有找到key的位置的时候要返回null呢 ？


I've added this feature in the original repo


Translation file updates :)

German is now nearly done. Approximately 200 Strings left. Too sad I am not getting help - it would be possible to finalize it faster...


That's what TensorFlow.jl is for (and annoyingly misusing the mathematical meaning of the word). Isn't this more of a backend thing that's application-independent? GPU's aren't just for deep learning.


这个 __异常处理__ 不干净。


It looks like you are right, also there may be a problem if level == 0, the groups will not be updated.


Good to hear. Also, to see if BIS effects are overwritten by Epoch look for "Res3tting B!S effects..." in your RPT


How can I configure the logging level? Is there an option I should specify to ./configure at build? and environment variable? something to be specified on the command line?


PrepFor87 (Myoldmopar) - x86_64-Linux-Ubuntu-14.04-cppcheck-1.61: OK (0 of 0 tests passed, 0 test warnings)

![Build Badge](http://img.shields.io/badge/build%20status-passing-green.png)


这个 __边界处理__ 也不干净，不仅和 __异常处理__ 没有厘清，混在了一起，而且还混错了。


# what


Copy this to My Documents/Arduino/libraries/


Removed unnecessary images


We do need to add something, because just saying the CDK is LGPL is not covering reality either: the CDK cannot be fully used with just LGPL-ed code.


I just changed it to the code you suggested and still seems to be an issue.

I'll check in this change and put in a PR once I finish with Grace 6.0.0. I'll tell daniel that DryIoC should be left out of the results for the moment but I will leave the code in place so you can just flip the switch when you are ready.


Yeah there's definitely truth in that...
But from the explanation of why they called it TensorFlow to begin with, it fits pretty well with the Scope of this package.

>Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them

From that, GPUArrays--> TensorFlow, without the Flow ;)

Also, I'm pretty happy with how short and snappy the name is.


这里的key不需要和现有的列表判重么？如果现有的列表里已经有了这个键会怎么样？


逻辑不严密


In my testbed, the examples (e.g., hell_weld) fail after importing this commit. I rollback to the previous version.  Are all examples ok for all you guys?


BTW, I am not sure why it suggests we are using license wrong... can you elaborate? Then I can come up with a better wording...


MainActivity가 이를 관리 함으로 여기에 있을 필요는 없다.


@taikiii いいですね！


LOL


@taikiii これはなんの変更もありませんね。


@taikiii 初期コメント行は全て削除するのが流儀です。


@taikiii インデントを徹底しましょう！


@taikiii , の後に空白スペースを入れることも流儀の一つです。


@taikiii これは、シンボル表記でこうかけます。
+      render :new


@taikiii , の後を詰めるのをやめましょう。読みづらいからです。


Thank you!


@taikiii インデントが不十分です。


@taikiii インデントが深すぎます。


@taikiii シンボル表記の方が一文字少ないので、シンボル表記を使ってください。こちらの方がアクセススピードも速いです。


Okay, I'll try reset and make it again.


PrepFor87 (Myoldmopar) - i386-Windows-7-VisualStudio-14: Tests Failed (599 of 2496 tests passed, 0 test warnings)

![Build Badge](http://img.shields.io/badge/build%20status-passing-green.png) ![Test Badge](http://img.shields.io/badge/tests%20passed-24.0%25-red.png)


@taikiii コーディング規約を必ず確認して身につけるとなおヨシです！
https://shugo.net/ruby-codeconv/codeconv.html


Please mention the change in append function.


base implementation of visitor should Accept YieldedValue, YieldedKey


presentation file on 03-27


COMMIT INFO:

Check for Facebook user's only.


这里没有按预期返回一个int值，导致任何时候调用这个函数时都要考虑到不存在的情况而做很多不必要的类型推断。否则将产生运行时语法错误。

参考下 String.indexOf 是怎么处理这个问题的


Short and snappy isn't always a good thing, since you end up extremely close to, and easily confusable with, https://github.com/KristofferC/Tensors.jl. And it doesn't indicate what the package does or would be useful for, the way the GPUArrays name did.


Congratulations, VoyagerOne!


오타가 있습니다. `HTMLmajor`를 `HTMLMajor`로 바꾸세요.


agree, we might need this information *before* expression analysis starts, affects ReturnType


Uhmm this makes think rox should be fixed instead of the puppy scripts. I had no problems using another file manager until people started complaining about issues with rox. Although the last time i compiled the most fixed and updated rox, I had to fix the code for precise and it didn't work well, showing weird stuff in one of the views. Due to how it works and how disappointing it is, one expects that any update should be backwards compatible and one should be able to compile the thing even in Wary puppy, but no.


`phone`,`email`,`description`이 빠졌습니다.


thanks,

But, as same like you , I'm not doing this for money and also i have no paypal account ...

I prefer by far the gifts in hardware, like it was working before to migrate to patreon.

I thinks a day to buy an wiiU now it's cheap and that there is a way to launch retroarch on it.
So you know what give me for my birthday :)


Te está quedando muy bien.


`education`, `phone`,`email`,`address`,`description` 도 사용하세요.


简介改一下： A hexo theme used for building...,或者用中文


폰트사용 좋습니다👍


test


코딩시에 탭보다는 스페이스바를 사용하길 추천합니다.


@locks Looks like there is already a pending PR with a fix! https://github.com/mustache/mustache/pull/235/files


I particularly prefer as licenses explained in README.md (as in minetest)


Ok, which means have to start the process all over again.

I have stashed all my changes, and pulled from github, but now the css is not working correctly, the site is a mess.

Could someone with a working version push


Actually, which entity is spawned by egg is determined by its activation flags. You can easily spawn TorsoBoss from any small egg or spawn winged mutant from a big one.


you can use markdown separator, methinks:

```
----
```

will translate into a `<hr />` tag


@schrej we need to move the flush outside the if I think


你好 在校学生一枚，最近也在弄爬虫的监控页面 但没多大收获。大神能给点代码看看你是如何根据你修改的SpiderMonitor.java 实现web端的监控的吗？
谢谢了。


I'll add a brief license and a link to more information


<details>

<summary>Submitting the task to TaskCluster failed. Details</summary>

```js

Schema Validation Failed!
Rejecting Schema: http://schemas.taskcluster.net/queue/v1/create-task-request.json#
Errors:
  * data.metadata.owner should match format "email"
----
method:     createTask
errorCode:  InputValidationError
statusCode: 400
time:       2017-03-26T13:52:10.378Z
```

</details>


You are right


@RubenVerborgh no problem! Fine by me :)


- font-family정의시 한번만 정의하거나 특수한경우에 적용할경우 한번에 묶어서 적용하는것이 좋습니다.
```css
.aboutlist, .interesttitile, interesttext {
  font-family:'Jeju Gothic', serif;
}
```

- 클래스 정의시 두단어 이상의 합성어를 사용할경우 `CamelCase`를 사용하는게 좋습니다.
[참조링크](http://zetawiki.com/wiki/%EC%B9%B4%EB%A9%9C%ED%91%9C%EA%B8%B0%EB%B2%95_camelCase,_%ED%8C%8C%EC%8A%A4%EC%B9%BC%ED%91%9C%EA%B8%B0%EB%B2%95_PascalCase)
```
interesttitle --> interestTitle
```


call all `SourceRoutineSymbol`.`Synthesize` instead: `this.WalkMethods(f => f.Synthesize(...))`


not needed


`jquery`는 반드시 부트스트랩 이전에 호출하도록합니다.


This seems OP? Agility already has a lot tied to it and this becomes a way for Agility to attack Resolve!?


not needed, SynthesizedManager instead


`instances_count` как-то больше подходит, а то что за `instance` непонятно


Так не пойдет - это же надо в каждом классе не забыть выполнить этот метод после подключения, иначе работать не будет


в начале префикс и сразу же имя команды без пробела, а в конце пробел и префикс


PrepFor87 (Myoldmopar) - Win64-Windows-7-VisualStudio-14: Tests Failed (599 of 2496 tests passed, 0 test warnings)

![Build Badge](http://img.shields.io/badge/build%20status-passing-green.png) ![Test Badge](http://img.shields.io/badge/tests%20passed-24.0%25-red.png)


My plan (at least for the prefix tree) was to build it from the (short) terms provided by group 1 and do it only *once*. Afterwards we use `tree.matchAtLeastOneTerm(websiteContent)` for every website. No need to rebuild the tree, no need for any tokenizing, just feed the website content. The worst case runtime is O(`n` * `l`) where `n` is the length of the input string (whole CC data in the last run) and `l` is the length of the longest term (let's say 20).


“Message from client_name: ..”
или
“Server reply: ..“, если тому же клиенту отправляется


PrepFor87 (Myoldmopar) - x86_64-Linux-Ubuntu-14.04-gcc-4.8-UnitTestsCoverage-Debug: OK (1296 of 1296 tests passed, 0 test warnings)

![Build Badge](http://img.shields.io/badge/build%20status-passing-green.png) ![Test Badge](http://img.shields.io/badge/tests%20passed-100.0%25-green.png) ![Coverage Badge](http://img.shields.io/badge/coverage%20status-37.67%25-green.png)


@MAKOSCAFEE and @Mloweedgar


так что значит это многоточие?


Особой нужды в этом методе я не вижу, есть же аксессор и `register_instance`. Лучше сделать в методе `register_instance` следующим образом:
1. Проверить иницилизирован ли счетчик инстансов. Если нет, задать ему значение 0
2. Прибавить к счетчику 1


Commit contains a PS shader. Please unmerge if this is still an issue.

Shadows are also included, I don't see the point in separating shadows and  640 uprez, but I'll also do a separate shadow commit for consistency.


I am done fooling around with core_ctl and governor... Going back to stock kernel(except added features and fixes) and cpu configuration. It's something you can't make everybody happy with and those who wanna play got tools for it.
Thanks for your suggestions!


Yeah, I probably should....but I can only remember so much markdown, and it's the same thing in the end. Thanks for the suggestions though!

These commits are crazy because I don't want to install a local jekyll server, so ANY time I want to make a change I have to push them up and see how it looks. Terribly janky, but easier for me right now. Enjoy the madness!


это да но пользователь никогда не сможет ввести число квадрат которого равен ровно 50 в вышеприведенном случае


잘하고 있어요! **몇가지 수정사항**만 고치면 완벽합니다!
[과제풀이 영상](https://www.youtube.com/watch?v=k-tSpHzSyvA&feature=youtu.be)을 참고하세요.

#### style.css
- **line 4** 폰트사용 좋습니다👍
(하지만 과도한 폰트사용은 웹서비스를 대단히 느리게 만들수 있습니다.)
- **line 18** 코딩시에 탭보다는 스페이스바를 사용하길 추천합니다.
- **line 49** - font-family정의시 한번만 정의하거나 특수한경우에 적용할경우 한번에 묶어서 적용하는것이 좋습니다.
```css
.aboutlist, .interesttitile, interesttext {
  font-family:'Jeju Gothic', serif;
}
```
- 클래스 정의시 두단어 이상의 합성어를 사용할경우 `CamelCase`를 사용하는게 좋습니다.
[참조링크](http://zetawiki.com/wiki/%EC%B9%B4%EB%A9%9C%ED%91%9C%EA%B8%B0%EB%B2%95_camelCase,_%ED%8C%8C%EC%8A%A4%EC%B9%BC%ED%91%9C%EA%B8%B0%EB%B2%95_PascalCase)
```
interesttitle --> interestTitle
```

#### helper.js
- **line 33** 오타가 있습니다. `HTMLmajor`를 `HTMLMajor`로 바꾸세요.
- **line 34** `phone`,`email`,`description`이 빠졌습니다.
- **line 41** `education`, `phone`,`email`,`address`,`description` 도 사용하세요.

#### index.html
- **line 303** `jquery`는 반드시 부트스트랩 이전에 호출하도록합니다.


какой-то ответ или что-то выполненное
походу


Что-то я запутался, ты в двух местах делаешь исправления что ли? Этого не нужно делать, делай тольо в папке с текущим уроком, а то каша получается


Hello,everyone.I am very glad to participate in the GitHub。HA,Maybe I am a newbee,but Trying and Not Giving up。


@wsnipex do we want this?


Ferrine: I don't think it's using the pymc3 in the virtualenv. You didn't
install. I think this is the find_packages problem again.

On Mar 26, 2017 2:36 PM, "Maxim Kochurov" <notifications@github.com> wrote:

@datafool <https://github.com/datafool> I've just followed the instructions
in tmpenv and it worked for me

cd pymc3
virtualenv tmp
. tmp/bin/activate
pip install -r requirements.txt
python
>>> import pymc3
>>> pymc3.gp
<module 'pymc3.gp' from '/Users/ferres/dev/pymc3/pymc3/gp/__init__.py'>

—
You are receiving this because you were mentioned.
Reply to this email directly, view it on GitHub
<https://github.com/pymc-devs/pymc3/commit/1eec1195883298b4984e155d575068ee801b8265#commitcomment-21490864>,
or mute the thread
<https://github.com/notifications/unsubscribe-auth/AApJmGh_F7FQUzP0LEL06TiaIm1f7K3-ks5rplvOgaJpZM4Lxk8j>
.


はじめまして。
全くの初心者なのですが、
----------------------
###②OpenDroneMapをインストール

$ cd OpenDroneMap/
$ ./install.sh
-----------------------
以降進めませんが、何か問題があるのでしょうか？


AA fix before/after. Contrast and edge improvements for both 2d and 3d.
![aafix2](https://cloud.githubusercontent.com/assets/25286924/24331891/845508a4-123d-11e7-8b35-779bfb248c1d.png)
![aafix1](https://cloud.githubusercontent.com/assets/25286924/24331892/84555106-123d-11e7-9b52-c9ea1e64f4db.png)

Shadow + 640 blur pass upres, tree shadows etc

![shadows](https://cloud.githubusercontent.com/assets/25286924/24331907/b59ea9a6-123d-11e7-8aa5-326988697252.png)


Зачем тут использовать хэш? Как раз массив был удобнее в данном случае


express deprecated res.sendfile: Use res.sendFile instead server.js:19:10


move below the first while


`self` тут лишний


rotationButtonPressed == false


A funcionalidade Trocar Senha foi convertida para um componente.
Introduzido uma melhoria no componente do NavBar no header das páginas.


keep while(true)


#include <iostream>
#include <string>
#include "stdafx.h"
using namespace std;

const int abSize = 25;
const string cons = "bcdfghjklmnpqrstvwxz";
int consEndNum = 0;

struct Node
{
	bool isWord = false;
	Node* next[abSize] ;
};

void add(Node* tree, string str)
{
	Node* ptr = tree;
	for (int i = 0; i < str.length(); i++) //пока не будет добавлено все слово
	{
		if (ptr->next[str[i] - 'a'] != NULL) //проверка, если ли уже в словаре текущая буква
		{
			if (i == str.length() - 1) //если достигнута последняя буква, отмечаем, что это слово
			{
				ptr->next[str[i] - 'a']->isWord = true;
			}
			else ptr = ptr->next[str[i] - 'a']; //идем вперед по дереву
		}
		else //буква не найдена, добавляем
		{
			Node* newNode = new Node;
			if (i == str.length() - 1)  //если достигнута последняя буква, отмечаем, что это слово
			{
				newNode->isWord = true;
			}
			else newNode->isWord = false;
			ptr->next[str[i] - 'a'] = newNode;
			ptr = ptr->next[str[i] - 'a']; //идем вперед по дереву
		}
	}
}

void getLexicon(Node* tree, string prefix) //вывод всех слов на экран
{
	for (int i = 0; i < abSize; i++)
	{
		if (tree->next[i] != NULL)
		{
			if (tree->next[i]->isWord)
			{
				cout << prefix << char('a' + i) << endl;
			}
			string str = prefix;
			str.append(1, char('a' + i));
			getLexicon(tree->next[i], str);
		}
	}
}

void SearchConsEnd(Node* tree) //поиск слов, оканчивающихся на согласную
{
	for (int i = 0; i < abSize; i++) //идем по всем потомкам
	{
            if (tree->next[i] != NULL) //если потомок существует,
		{
			if (tree->next[i]->isWord) //проверяем, что это слово, а не промежуточная буква
			{
				if (cons.find(char('a' + i)) != -1) //проверка, является ли буква согласной
					consEndNum++;
			}
			SearchConsEnd(tree->next[i]); //и идем дальше по дереву
		}
	}
}

int main()
{
	setlocale(LC_ALL, "Russian");
	Node* tree = new Node;
	add(tree, "hello");
	add(tree, "hi");
	add(tree, "ann");
	add(tree, "anna");
cout << "Слова, находящиеся в лексиконе: " << endl;
	getLexicon(tree, "");
	//поиск слов, оканчивающихся на согласную
	SearchConsEnd(tree);
	cout << "Число слов, оканчивающихся на согласную: " << consEndNum << endl;
	return 0;


Gotcha, my bad earlier I didn't mean to force it in, I need to get used to working with this.


Care e diferența dintre Saving și Deposit account?


По-моему этот код лишний в текущей задаче. Он усложняет понимание того, что мы пытаемся сделать.


actually hpc03


А какая трудоёмкость у `toDigits` и `toDigitsRev`?


задание : подсчитать в trie-дереве количество слов, оканчивающихся на согласную букву


Dacă ar fi diferite cele două, ai putea să faci 2 buildere diferite și unul abstract, dar încă nu văd care e diferența.
Nu te complica, dacă problema nu a specificat asta, nu trebuie să o implementezi așa.


`READ ME.md`파일대신 `README.md`에 작성하세요.


Можно ли добавить вас в коллабораторы? Я бы вам просто пулл реквесты потом кидал. как с массивом делать не знаю. отработаю попозже эту версию


I mean, I guess, but I see it more as shoving code elsewhere than a constant, since its internal values change.


When an account is removed, shouldn't the cache be invalidated?


Că doar la Deposit as avea opțiune de withdraw money.


시도는 좋았습니다. ㅋㅋㅋㅋㅋㅋㅋㅋㅋ절대경로 말고 상대경로를 사용합시다.ㅋㅋㅋ


Why is it invalidated when you are simply reading the data. Isn't it here that it should actually be fetched from IF it exists?
Check my example


[R/inference_chisqstatistic.R:71:59:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_chisqstatistic.R#L71) *style:* **Variable and function names should be all lowercase.**
```r
  grp.indexes <- dplyr::group_indices(obj, Virus, Screen, ReadoutType,
                                                          ^~~~~~~~~~~
```
[R/inference_chisqstatistic.R:72:39:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_chisqstatistic.R#L72) *style:* **Variable and function names should be all lowercase.**
```r
                                      ScreenType, Library, Design, Cell)
                                      ^~~~~~~~~~
```
[R/inference_chisqstatistic.R:85:52:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_chisqstatistic.R#L85) *style:* **Variable and function names should be all lowercase.**
```r
                                           grp.dat$ScreenType[1],
                                                   ^~~~~~~~~~
```
[R/inference_chisqstatistic.R:86:52:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_chisqstatistic.R#L86) *style:* **Variable and function names should be all lowercase.**
```r
                                           grp.dat$ReadoutType[1],
                                                   ^~~~~~~~~~~
```
[R/inference_diffuse_knn.R:38:59:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_diffuse_knn.R#L38) *style:* **Variable and function names should be all lowercase.**
```r
       dplyr::filter(Idx %in% as.integer(names(neighs))))$GeneSymbol
                                                          ^~~~~~~~~~
```
[R/inference_diffuse_knn.R:43:21:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_diffuse_knn.R#L43) *style:* **Variable and function names should be all lowercase.**
```r
      dplyr::select(GeneSymbol, Effect)}
                    ^~~~~~~~~~
```
[R/inference_diffuse_knn.R:52:49:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_diffuse_knn.R#L52) *style:* **Variable and function names should be all lowercase.**
```r
  genes.found <- dplyr::select(flat.dat, Start, GeneSymbol) %>%
                                                ^~~~~~~~~~
```
[R/inference_diffuse_mrw.R:36:44:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_diffuse_mrw.R#L36) *style:* **Variable and function names should be all lowercase.**
```r
  li  <- list(diffusion=dplyr::select(res, GeneSymbol, Effect, DiffusionEffect),
                                           ^~~~~~~~~~
```
[R/inference_diffuse_mrw.R:36:64:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_diffuse_mrw.R#L36) *style:* **Variable and function names should be all lowercase.**
```r
  li  <- list(diffusion=dplyr::select(res, GeneSymbol, Effect, DiffusionEffect),
                                                               ^~~~~~~~~~~~~~~
```
[R/inference_diffuse_mrw.R:50:22:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_diffuse_mrw.R#L50) *style:* **Variable and function names should be all lowercase.**
```r
  diffuse.data$frame$DiffusionEffect <- mrw
                     ^~~~~~~~~~~~~~~
```
[R/inference_diffuse_mrw.R:72:58:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_diffuse_mrw.R#L72) *style:* **Variable and function names should be all lowercase.**
```r
  boot.g <- tidyr::gather(bootstrap.hits, Boot, Effect, -GeneSymbol) %>%
                                                         ^~~~~~~~~~
```
[R/inference_diffuse_mrw.R:85:1:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_diffuse_mrw.R#L85) *style:* **lines should not be more than 80 characters.**
```r
  # -> calculate means -> calculate alphas -> calculate variance -> calculate alpha_0
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/inference_diffuse_mrw.R:91:21:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_diffuse_mrw.R#L91) *style:* **Variable and function names should be all lowercase.**
```r
    dplyr::group_by(GeneSymbol) %>%
                    ^~~~~~~~~~
```
[R/inference_diffuse_mrw.R:93:29:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_diffuse_mrw.R#L93) *style:* **Variable and function names should be all lowercase.**
```r
                       mean(DiffusionEffect, na.rm=T)) %>%
                            ^~~~~~~~~~~~~~~
```
[R/inference_diffuse_mrw.R:96:57:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_diffuse_mrw.R#L96) *style:* **Variable and function names should be all lowercase.**
```r
                          tidyr::spread(flat.dat, boot, DiffusionEffect),
                                                        ^~~~~~~~~~~~~~~
```
[R/inference_diffuse.R:88:39:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_diffuse.R#L88) *style:* **Variable and function names should be all lowercase.**
```r
    hits   <- dplyr::select(obj@.data$gene.hitsGeneSymbol, abs(Effect))
                                      ^~~~~~~~~~~~~~~~~~~
```
[R/inference_diffuse.R:94:23:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_diffuse.R#L94) *style:* **Variable and function names should be all lowercase.**
```r
        dplyr::filter(GeneSymbol %in% hits$GeneSymbol) %>%
                      ^~~~~~~~~~
```
[R/inference_diffuse.R:94:44:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_diffuse.R#L94) *style:* **Variable and function names should be all lowercase.**
```r
        dplyr::filter(GeneSymbol %in% hits$GeneSymbol) %>%
                                           ^~~~~~~~~~
```
[R/inference_diffuse.R:95:24:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_diffuse.R#L95) *style:* **Variable and function names should be all lowercase.**
```r
        dplyr::select(-MeanBootstrap, -Pval, -FDR)
                       ^~~~~~~~~~~~~
```
[R/inference_diffuse.R:149:44:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_diffuse.R#L149) *style:* **Variable and function names should be all lowercase.**
```r
  li  <- list(diffusion=dplyr::select(res, GeneSymbol, Effect, DiffusionEffect),
                                           ^~~~~~~~~~
```
[R/inference_diffuse.R:149:64:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_diffuse.R#L149) *style:* **Variable and function names should be all lowercase.**
```r
  li  <- list(diffusion=dplyr::select(res, GeneSymbol, Effect, DiffusionEffect),
                                                               ^~~~~~~~~~~~~~~
```
[R/inference_diffuse.R:163:22:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_diffuse.R#L163) *style:* **Variable and function names should be all lowercase.**
```r
  diffuse.data$frame$DiffusionEffect <- mrw
                     ^~~~~~~~~~~~~~~
```
[R/inference_diffuse.R:185:58:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_diffuse.R#L185) *style:* **Variable and function names should be all lowercase.**
```r
  boot.g <- tidyr::gather(bootstrap.hits, Boot, Effect, -GeneSymbol) %>%
                                                         ^~~~~~~~~~
```
[R/inference_diffuse.R:198:1:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_diffuse.R#L198) *style:* **lines should not be more than 80 characters.**
```r
  # -> calculate means -> calculate alphas -> calculate variance -> calculate alpha_0
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/inference_diffuse.R:204:21:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_diffuse.R#L204) *style:* **Variable and function names should be all lowercase.**
```r
    dplyr::group_by(GeneSymbol) %>%
                    ^~~~~~~~~~
```
[R/inference_diffuse.R:206:29:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_diffuse.R#L206) *style:* **Variable and function names should be all lowercase.**
```r
                       mean(DiffusionEffect, na.rm=T)) %>%
                            ^~~~~~~~~~~~~~~
```
[R/inference_diffuse.R:209:57:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_diffuse.R#L209) *style:* **Variable and function names should be all lowercase.**
```r
                          tidyr::spread(flat.dat, boot, DiffusionEffect),
                                                        ^~~~~~~~~~~~~~~
```
[R/inference_diffuse.R:228:56:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_diffuse.R#L228) *style:* **Variable and function names should be all lowercase.**
```r
    dplyr::filter(Idx %in% as.integer(names(neighs))))$GeneSymbol
                                                       ^~~~~~~~~~
```
[R/inference_diffuse.R:232:21:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_diffuse.R#L232) *style:* **Variable and function names should be all lowercase.**
```r
      dplyr::select(GeneSymbol, Effect)}
                    ^~~~~~~~~~
```
[R/inference_diffuse.R:241:49:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_diffuse.R#L241) *style:* **Variable and function names should be all lowercase.**
```r
  genes.found <- dplyr::select(flat.dat, Start, GeneSymbol) %>%
                                                ^~~~~~~~~~
```
[R/inference_gesper.R:60:47:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_gesper.R#L60) *style:* **Variable and function names should be all lowercase.**
```r
    dplyr::filter(obj, !is.na(Entrez), !is.na(siRNAIDs)) %>%
                                              ^~~~~~~~
```
[R/inference_gesper.R:66:33:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_gesper.R#L66) *style:* **Variable and function names should be all lowercase.**
```r
    res <- dplyr::group_by(res, GeneSymbol) %>%
                                ^~~~~~~~~~
```
[R/inference_gesper.R:73:10:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_gesper.R#L73) *style:* **Variable and function names should be all lowercase.**
```r
  res <- .gespeR(res, path)
         ^~~~~~~
```
[R/inference_gesper.R:80:1:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_gesper.R#L80) *style:* **Variable and function names should be all lowercase.**
```r
.gespeR <- function(obj, path)
^~~~~~~
```
[R/inference_gesper.R:84:1:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_gesper.R#L84) *style:* **lines should not be more than 80 characters.**
```r
  # init the matrices so that all entrez id that are not in both matrices are discarded
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/inference_gesper.R:91:61:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_gesper.R#L91) *style:* **Variable and function names should be all lowercase.**
```r
                               ids=as.character(pheno.frame$siRNAIDs),
                                                            ^~~~~~~~
```
[R/inference_gesper.R:105:45:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_gesper.R#L105) *style:* **Variable and function names should be all lowercase.**
```r
                         dplyr::select(obj, GeneSymbol, Entrez) %>% unique,
                                            ^~~~~~~~~~
```
[R/inference_gesper.R:107:26:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_gesper.R#L107) *style:* **Variable and function names should be all lowercase.**
```r
    dplyr::filter(!is.na(GeneSymbol))
                         ^~~~~~~~~~
```
[R/inference_gesper.R:119:26:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_gesper.R#L119) *style:* **Variable and function names should be all lowercase.**
```r
    dplyr::select(Virus, GeneSymbol, Entrez, siRNAIDs, Readout) %>%
                         ^~~~~~~~~~
```
[R/inference_gesper.R:119:46:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_gesper.R#L119) *style:* **Variable and function names should be all lowercase.**
```r
    dplyr::select(Virus, GeneSymbol, Entrez, siRNAIDs, Readout) %>%
                                             ^~~~~~~~
```
[R/inference_gesper.R:120:13:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_gesper.R#L120) *style:* **Variable and function names should be all lowercase.**
```r
    .[order(siRNAIDs)]
            ^~~~~~~~
```
[R/inference_gesper.R:123:44:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_gesper.R#L123) *style:* **Variable and function names should be all lowercase.**
```r
  pheno.sirnas   <- as.character(pheno.mat$siRNAIDs)
                                           ^~~~~~~~
```
[R/inference_gesper.R:169:48:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_gesper.R#L169) *style:* **Variable and function names should be all lowercase.**
```r
                            siRNAIDs=pheno.mat$siRNAIDs,
                                               ^~~~~~~~
```
[R/inference_gesper.R:176:43:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_gesper.R#L176) *style:* **Variable and function names should be all lowercase.**
```r
  assertthat::assert_that(all(pheno.frame$siRNAIDs == rel.mat@siRNAs))
                                          ^~~~~~~~
```
[R/inference_gesper.R:177:43:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_gesper.R#L177) *style:* **Variable and function names should be all lowercase.**
```r
  assertthat::assert_that(all(pheno.frame$siRNAIDs ==
                                          ^~~~~~~~
```
[R/inference_gesper.R:191:50:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_gesper.R#L191) *style:* **Variable and function names should be all lowercase.**
```r
    dplyr::mutate(siRNAIDs=strsplit(as.character(siRNAIDs), ",")) %>%
                                                 ^~~~~~~~
```
[R/inference_gesper.R:192:19:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_gesper.R#L192) *style:* **Variable and function names should be all lowercase.**
```r
    tidyr::unnest(siRNAIDs)
                  ^~~~~~~~
```
[R/inference_gesper.R:208:1:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_gesper.R#L208) *style:* **Variable and function names should be all lowercase.**
```r
.prioritize.gespeR <- function(obj,
^~~~~~~~~~~~~~~~~~
```
[R/inference_hyperstatistic.R:100:59:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_hyperstatistic.R#L100) *style:* **Variable and function names should be all lowercase.**
```r
  grp.indexes <- dplyr::group_indices(obj, Virus, Screen, ReadoutType,
                                                          ^~~~~~~~~~~
```
[R/inference_hyperstatistic.R:101:39:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_hyperstatistic.R#L101) *style:* **Variable and function names should be all lowercase.**
```r
                                      ScreenType, Library, Design, Cell)
                                      ^~~~~~~~~~
```
[R/inference_hyperstatistic.R:114:52:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_hyperstatistic.R#L114) *style:* **Variable and function names should be all lowercase.**
```r
                                           grp.dat$ScreenType[1],
                                                   ^~~~~~~~~~
```
[R/inference_hyperstatistic.R:115:52:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_hyperstatistic.R#L115) *style:* **Variable and function names should be all lowercase.**
```r
                                           grp.dat$ReadoutType[1],
                                                   ^~~~~~~~~~~
```
[R/inference_hyperstatistic.R:145:28:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_hyperstatistic.R#L145) *style:* **Variable and function names should be all lowercase.**
```r
                           ScreenType, ReadoutType,
                           ^~~~~~~~~~
```
[R/inference_hyperstatistic.R:145:40:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_hyperstatistic.R#L145) *style:* **Variable and function names should be all lowercase.**
```r
                           ScreenType, ReadoutType,
                                       ^~~~~~~~~~~
```
[R/inference_hyperstatistic.R:147:35:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_hyperstatistic.R#L147) *style:* **Variable and function names should be all lowercase.**
```r
                           Plate, RowIdx, ColIdx,
                                  ^~~~~~
```
[R/inference_hyperstatistic.R:147:43:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_hyperstatistic.R#L147) *style:* **Variable and function names should be all lowercase.**
```r
                           Plate, RowIdx, ColIdx,
                                          ^~~~~~
```
[R/inference_hyperstatistic.R:148:28:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_hyperstatistic.R#L148) *style:* **Variable and function names should be all lowercase.**
```r
                           GeneSymbol, Entrez, siRNAIDs) %>%
                           ^~~~~~~~~~
```
[R/inference_hyperstatistic.R:148:48:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_hyperstatistic.R#L148) *style:* **Variable and function names should be all lowercase.**
```r
                           GeneSymbol, Entrez, siRNAIDs) %>%
                                               ^~~~~~~~
```
[R/inference_hyperstatistic.R:162:55:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_hyperstatistic.R#L162) *style:* **Variable and function names should be all lowercase.**
```r
  res <- dplyr::group_by(res, Virus, Screen, Library, ReadoutType, ScreenType,
                                                      ^~~~~~~~~~~
```
[R/inference_hyperstatistic.R:162:68:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_hyperstatistic.R#L162) *style:* **Variable and function names should be all lowercase.**
```r
  res <- dplyr::group_by(res, Virus, Screen, Library, ReadoutType, ScreenType,
                                                                   ^~~~~~~~~~
```
[R/inference_hyperstatistic.R:164:35:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_hyperstatistic.R#L164) *style:* **Variable and function names should be all lowercase.**
```r
    dplyr::mutate(HRes=.hypertest(GeneSymbol, siRNAIDs, Plate,
                                  ^~~~~~~~~~
```
[R/inference_hyperstatistic.R:164:47:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_hyperstatistic.R#L164) *style:* **Variable and function names should be all lowercase.**
```r
    dplyr::mutate(HRes=.hypertest(GeneSymbol, siRNAIDs, Plate,
                                              ^~~~~~~~
```
[R/inference_hyperstatistic.R:165:35:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_hyperstatistic.R#L165) *style:* **Variable and function names should be all lowercase.**
```r
                                  RowIdx, ColIdx, Readout, level)) %>%
                                  ^~~~~~
```
[R/inference_hyperstatistic.R:165:43:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_hyperstatistic.R#L165) *style:* **Variable and function names should be all lowercase.**
```r
                                  RowIdx, ColIdx, Readout, level)) %>%
                                          ^~~~~~
```
[R/inference_hyperstatistic.R:175:27:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_hyperstatistic.R#L175) *style:* **Variable and function names should be all lowercase.**
```r
  data.table::setDT(res)[,HyperRank := cumsum(res$Hit)]
                          ^~~~~~~~~
```
[R/inference_hyperstatistic.R:176:36:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_hyperstatistic.R#L176) *style:* **Variable and function names should be all lowercase.**
```r
  data.table::setDT(res)[Hit == 0, HyperRank := NA_integer_]
                                   ^~~~~~~~~
```
[R/inference_hyperstatistic.R:197:1:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_hyperstatistic.R#L197) *style:* **lines should not be more than 80 characters.**
```r
  ## if we do the hypergeometric test on genes we need another grouping as for siRNAs
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/inference_hyperstatistic.R:254:26:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_hyperstatistic.R#L254) *style:* **Variable and function names should be all lowercase.**
```r
                         ScreenType, ReadoutType,
                         ^~~~~~~~~~
```
[R/inference_hyperstatistic.R:254:38:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_hyperstatistic.R#L254) *style:* **Variable and function names should be all lowercase.**
```r
                         ScreenType, ReadoutType,
                                     ^~~~~~~~~~~
```
[R/inference_hyperstatistic.R:256:26:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_hyperstatistic.R#L256) *style:* **Variable and function names should be all lowercase.**
```r
                         GeneSymbol, Entrez) %>%
                         ^~~~~~~~~~
```
[R/inference_hyperstatistic.R:268:19:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_hyperstatistic.R#L268) *style:* **Variable and function names should be all lowercase.**
```r
    dplyr::filter(HitRatio >= hit.ratio)
                  ^~~~~~~~
```
[R/inference_lmm_locfdr.R:43:49:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L43) *style:* **Do not place spaces around code in parentheses or square brackets.**
```r
       gene.pathogen.matrix=gene.pathogen.matrix )
                                                ^
```
[R/inference_lmm_locfdr.R:84:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L84) *style:* **Use <-, not =, for assignment.**
```r
  call = match.call()
       ^
```
[R/inference_lmm_locfdr.R:101:13:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L101) *style:* **Use <-, not =, for assignment.**
```r
        med = median(zz)
            ^
```
[R/inference_lmm_locfdr.R:102:12:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L102) *style:* **Use <-, not =, for assignment.**
```r
        ra = med + (1 - pct) * (range(zz) - med)
           ^
```
[R/inference_lmm_locfdr.R:103:12:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L103) *style:* **Use <-, not =, for assignment.**
```r
        lo = ra[1]
           ^
```
[R/inference_lmm_locfdr.R:104:12:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L104) *style:* **Use <-, not =, for assignment.**
```r
        up = ra[2]
           ^
```
[R/inference_lmm_locfdr.R:141:9:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L141) *style:* **Use <-, not =, for assignment.**
```r
    fp0 = matrix(NA, 6, 4)
        ^
```
[R/inference_lmm_locfdr.R:142:19:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L142) *style:* **Use <-, not =, for assignment.**
```r
    colnames(fp0) = c("delta", "sigleft", "p0", "sigright")
                  ^
```
[R/inference_lmm_locfdr.R:145:9:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L145) *style:* **Use <-, not =, for assignment.**
```r
    fp0 = matrix(NA, 6, 3)
        ^
```
[R/inference_lmm_locfdr.R:146:19:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L146) *style:* **Use <-, not =, for assignment.**
```r
    colnames(fp0) = c("delta", "sigma", "p0")
                  ^
```
[R/inference_lmm_locfdr.R:148:17:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L148) *style:* **Use <-, not =, for assignment.**
```r
  rownames(fp0) = c("thest", "theSD", "mlest", "mleSD", "cmest",  "cmeSD")
                ^
```
[R/inference_lmm_locfdr.R:149:21:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L149) *style:* **Use <-, not =, for assignment.**
```r
  fp0["thest", 1:2] = c(0, 1)
                    ^
```
[R/inference_lmm_locfdr.R:150:21:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L150) *style:* **Use <-, not =, for assignment.**
```r
  fp0["theSD", 1:2] = 0
                    ^
```
[R/inference_lmm_locfdr.R:176:13:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L176) *style:* **Use <-, not =, for assignment.**
```r
    cmerror = I(is.na(co[3]) | is.na(co[2]))
            ^
```
[R/inference_lmm_locfdr.R:178:15:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L178) *style:* **Use <-, not =, for assignment.**
```r
      cmerror = I(co[2] >= 0 | co[2] + co[3] >= 0)
              ^
```
[R/inference_lmm_locfdr.R:181:13:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L181) *style:* **Use <-, not =, for assignment.**
```r
    cmerror = is.na(co[3])
            ^
```
[R/inference_lmm_locfdr.R:183:15:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L183) *style:* **Use <-, not =, for assignment.**
```r
      cmerror = I(co[3] >= 0)
              ^
```
[R/inference_lmm_locfdr.R:213:5:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L213) *style:* **Use <-, not =, for assignment.**
```r
  b = 4.3 * exp(-0.26 * log(N, 10))
    ^
```
[R/inference_lmm_locfdr.R:215:9:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L215) *style:* **Use <-, not =, for assignment.**
```r
    med = median(zz)
        ^
```
[R/inference_lmm_locfdr.R:216:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L216) *style:* **Use <-, not =, for assignment.**
```r
    sc = diff(quantile(zz)[c(2, 4)])/(2 * stats::qnorm(0.75))
       ^
```
[R/inference_lmm_locfdr.R:217:12:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L217) *style:* **Use <-, not =, for assignment.**
```r
    mlests = locmle(zz, xlim = c(med, b * sc))
           ^
```
[R/inference_lmm_locfdr.R:219:1:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L219) *style:* **lines should not be more than 80 characters.**
```r
      warning("length(zz) > 500,000: For ML estimation, a wider interval than optimal was used.  To use the optimal interval, rerun with mlests = c(",
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/inference_lmm_locfdr.R:221:14:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L221) *style:* **Use <-, not =, for assignment.**
```r
      mlests = locmle(zz, xlim = c(med, sc))
             ^
```
[R/inference_lmm_locfdr.R:226:9:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L226) *style:* **Use <-, not =, for assignment.**
```r
      b = 1
        ^
```
[R/inference_lmm_locfdr.R:228:14:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L228) *style:* **Use <-, not =, for assignment.**
```r
      Cov.in = list(x = x, X = X, f = f, sw = sw)
             ^
```
[R/inference_lmm_locfdr.R:229:14:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L229) *style:* **Use <-, not =, for assignment.**
```r
      ml.out = locmle(zz, xlim = c(mlests[1], b * mlests[2]),
             ^
```
[R/inference_lmm_locfdr.R:231:14:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L231) *style:* **Use <-, not =, for assignment.**
```r
      mlests = ml.out$mle
             ^
```
[R/inference_lmm_locfdr.R:233:17:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L233) *style:* **Use <-, not =, for assignment.**
```r
    else mlests = locmle(zz, xlim = c(mlests[1], b * mlests[2]),
                ^
```
[R/inference_lmm_locfdr.R:235:23:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L235) *style:* **Use <-, not =, for assignment.**
```r
    fp0["mlest", 1:3] = mlests[1:3]
                      ^
```
[R/inference_lmm_locfdr.R:236:23:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L236) *style:* **Use <-, not =, for assignment.**
```r
    fp0["mleSD", 1:3] = mlests[4:6]
                      ^
```
[R/inference_lmm_locfdr.R:240:1:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L240) *style:* **lines should not be more than 80 characters.**
```r
                                                              2]/mlests[2])) > 0.05)
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/inference_lmm_locfdr.R:241:1:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L241) *style:* **lines should not be more than 80 characters.**
```r
      warning("Discrepancy between central matching and maximum likelihood estimates.\nConsider rerunning with nulltype = 1")
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/inference_lmm_locfdr.R:251:12:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L251) *style:* **Use <-, not =, for assignment.**
```r
    delhat = xmax = xmaxx = mlests[1]
           ^
```
[R/inference_lmm_locfdr.R:251:19:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L251) *style:* **Use <-, not =, for assignment.**
```r
    delhat = xmax = xmaxx = mlests[1]
                  ^
```
[R/inference_lmm_locfdr.R:251:27:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L251) *style:* **Use <-, not =, for assignment.**
```r
    delhat = xmax = xmaxx = mlests[1]
                          ^
```
[R/inference_lmm_locfdr.R:252:12:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L252) *style:* **Use <-, not =, for assignment.**
```r
    sighat = mlests[2]
           ^
```
[R/inference_lmm_locfdr.R:253:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L253) *style:* **Use <-, not =, for assignment.**
```r
    p0 = mlests[3]
       ^
```
[R/inference_lmm_locfdr.R:254:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L254) *style:* **Use <-, not =, for assignment.**
```r
    f0 = stats::dnorm(x, delhat, sighat)
       ^
```
[R/inference_lmm_locfdr.R:255:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L255) *style:* **Use <-, not =, for assignment.**
```r
    f0 = (sum(f) * f0)/sum(f0)
       ^
```
[R/inference_lmm_locfdr.R:257:7:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L257) *style:* **Use <-, not =, for assignment.**
```r
  fdr = pmin((p0 * f0)/f, 1)
      ^
```
[R/inference_lmm_locfdr.R:261:19:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L261) *style:* **Use <-, not =, for assignment.**
```r
  fp0["thest", 3] = p0theo
                  ^
```
[R/inference_lmm_locfdr.R:273:13:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L273) *style:* **Use <-, not =, for assignment.**
```r
  else xxlo = xmax
            ^
```
[R/inference_lmm_locfdr.R:276:13:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L276) *style:* **Use <-, not =, for assignment.**
```r
  else xxhi = xmax
            ^
```
[R/inference_lmm_locfdr.R:281:13:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L281) *style:* **Use <-, not =, for assignment.**
```r
  else xxlo = xmax
            ^
```
[R/inference_lmm_locfdr.R:284:13:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L284) *style:* **Use <-, not =, for assignment.**
```r
  else xxhi = xmax
            ^
```
[R/inference_lmm_locfdr.R:288:66:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L288) *style:* **Use <-, not =, for assignment.**
```r
    fdr[x >= mlests[1] - mlests[2] & x <= mlests[1] + mlests[2]] = 1
                                                                 ^
```
[R/inference_lmm_locfdr.R:289:67:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L289) *style:* **Use <-, not =, for assignment.**
```r
    fdr0[x >= mlests[1] - mlests[2] & x <= mlests[1] + mlests[2]] = 1
                                                                  ^
```
[R/inference_lmm_locfdr.R:300:1:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L300) *style:* **lines should not be more than 80 characters.**
```r
                                                             fdr[ido]) * fall[ido])
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/inference_lmm_locfdr.R:302:1:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L302) *style:* **lines should not be more than 80 characters.**
```r
                                                                fdr0[ido]) * fall[ido])
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/inference_lmm_locfdr.R:304:1:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L304) *style:* **lines should not be more than 80 characters.**
```r
                                                              fdr[iup]) * fall[iup])
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/inference_lmm_locfdr.R:306:1:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L306) *style:* **lines should not be more than 80 characters.**
```r
                                                                 fdr0[iup]) * fall[iup])
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
```
[R/inference_lmm_locfdr.R:308:28:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L308) *style:* **Use <-, not =, for assignment.**
```r
  Efdr[which(is.na(Efdr))] = 1
                           ^
```
[R/inference_lmm_locfdr.R:315:9:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L315) *style:* **Use <-, not =, for assignment.**
```r
    mul = c(1, mult)
        ^
```
[R/inference_lmm_locfdr.R:316:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L316) *style:* **Use <-, not =, for assignment.**
```r
    EE = rep(0, length(mul))
       ^
```
[R/inference_lmm_locfdr.R:318:10:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L318) *style:* **Use <-, not =, for assignment.**
```r
      xe = sqrt(mul[m]) * x
         ^
```
[R/inference_lmm_locfdr.R:319:11:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L319) *style:* **Use <-, not =, for assignment.**
```r
      f1e = approx(xe, f1, x, rule = 2, ties = mean)$y
          ^
```
[R/inference_lmm_locfdr.R:320:11:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L320) *style:* **Use <-, not =, for assignment.**
```r
      f1e = (f1e * sum(f1))/sum(f1e)
          ^
```
[R/inference_lmm_locfdr.R:321:11:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L321) *style:* **Use <-, not =, for assignment.**
```r
      f0e = f0
          ^
```
[R/inference_lmm_locfdr.R:322:11:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L322) *style:* **Use <-, not =, for assignment.**
```r
      p0e = p0
          ^
```
[R/inference_lmm_locfdr.R:324:13:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L324) *style:* **Use <-, not =, for assignment.**
```r
        f0e = f00
            ^
```
[R/inference_lmm_locfdr.R:325:13:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L325) *style:* **Use <-, not =, for assignment.**
```r
        p0e = p0theo
            ^
```
[R/inference_lmm_locfdr.R:327:12:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L327) *style:* **Use <-, not =, for assignment.**
```r
      fdre = (p0e * f0e)/(p0e * f0e + f1e)
           ^
```
[R/inference_lmm_locfdr.R:328:13:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L328) *style:* **Use <-, not =, for assignment.**
```r
      EE[m] = sum(f1e * fdre)/sum(f1e)
            ^
```
[R/inference_lmm_locfdr.R:330:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L330) *style:* **Use <-, not =, for assignment.**
```r
    EE = EE/EE[1]
       ^
```
[R/inference_lmm_locfdr.R:331:15:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L331) *style:* **Use <-, not =, for assignment.**
```r
    names(EE) = mul
              ^
```
[R/inference_lmm_locfdr.R:333:12:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L333) *style:* **Use <-, not =, for assignment.**
```r
  Cov2.out = loccov2(X, X0, i0, f, fp0["cmest", ], N)
           ^
```
[R/inference_lmm_locfdr.R:334:12:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L334) *style:* **Use <-, not =, for assignment.**
```r
  Cov0.out = loccov2(X, matrix(1, length(x), 1), i0, f, fp0["thest",
           ^
```
[R/inference_lmm_locfdr.R:338:13:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L338) *style:* **Use <-, not =, for assignment.**
```r
      Ilfdr = Cov0.out$Ilfdr
            ^
```
[R/inference_lmm_locfdr.R:340:13:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L340) *style:* **Use <-, not =, for assignment.**
```r
      Ilfdr = ml.out$Ilfdr
            ^
```
[R/inference_lmm_locfdr.R:342:13:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L342) *style:* **Use <-, not =, for assignment.**
```r
      Ilfdr = Cov2.out$Ilfdr
            ^
```
[R/inference_lmm_locfdr.R:347:9:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L347) *style:* **Use <-, not =, for assignment.**
```r
    Cov = Cov0.out$Cov
        ^
```
[R/inference_lmm_locfdr.R:349:9:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L349) *style:* **Use <-, not =, for assignment.**
```r
    Cov = ml.out$Cov.lfdr
        ^
```
[R/inference_lmm_locfdr.R:350:12:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L350) *style:* **Use <-, not =, for assignment.**
```r
  else Cov = Cov2.out$Cov
           ^
```
[R/inference_lmm_locfdr.R:352:21:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L352) *style:* **Use <-, not =, for assignment.**
```r
  fp0["cmeSD", 1:3] = Cov2.out$stdev[c(2, 3, 1)]
                    ^
```
[R/inference_lmm_locfdr.R:354:21:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L354) *style:* **Use <-, not =, for assignment.**
```r
    fp0["cmeSD", 4] = fp0["cmeSD", 2]
                    ^
```
[R/inference_lmm_locfdr.R:355:19:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L355) *style:* **Use <-, not =, for assignment.**
```r
  fp0["theSD", 3] = Cov0.out$stdev[1]
                  ^
```
[R/inference_lmm_locfdr.R:358:11:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L358) *style:* **Use <-, not =, for assignment.**
```r
      pds = fp0["thest", c(3, 1, 2)]
          ^
```
[R/inference_lmm_locfdr.R:359:13:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L359) *style:* **Use <-, not =, for assignment.**
```r
      stdev = fp0["theSD", c(3, 1, 2)]
            ^
```
[R/inference_lmm_locfdr.R:360:12:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L360) *style:* **Use <-, not =, for assignment.**
```r
      pds. = t(Cov0.out$pds.)
           ^
```
[R/inference_lmm_locfdr.R:363:11:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L363) *style:* **Use <-, not =, for assignment.**
```r
      pds = fp0["mlest", c(3, 1, 2)]
          ^
```
[R/inference_lmm_locfdr.R:364:13:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L364) *style:* **Use <-, not =, for assignment.**
```r
      stdev = fp0["mleSD", c(3, 1, 2)]
            ^
```
[R/inference_lmm_locfdr.R:365:12:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L365) *style:* **Use <-, not =, for assignment.**
```r
      pds. = t(ml.out$pds.)
           ^
```
[R/inference_lmm_locfdr.R:368:11:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L368) *style:* **Use <-, not =, for assignment.**
```r
      pds = fp0["cmest", c(3, 1, 2)]
          ^
```
[R/inference_lmm_locfdr.R:369:13:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L369) *style:* **Use <-, not =, for assignment.**
```r
      stdev = fp0["cmeSD", c(3, 1, 2)]
            ^
```
[R/inference_lmm_locfdr.R:370:12:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L370) *style:* **Use <-, not =, for assignment.**
```r
      pds. = t(Cov2.out$pds.)
           ^
```
[R/inference_lmm_locfdr.R:373:20:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L373) *style:* **Use <-, not =, for assignment.**
```r
    colnames(pds.) = names(pds) = c("p0", "delhat", "sighat")
                   ^
```
[R/inference_lmm_locfdr.R:373:33:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L373) *style:* **Use <-, not =, for assignment.**
```r
    colnames(pds.) = names(pds) = c("p0", "delhat", "sighat")
                                ^
```
[R/inference_lmm_locfdr.R:374:18:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L374) *style:* **Use <-, not =, for assignment.**
```r
    names(stdev) = c("sdp0", "sddelhat", "sdsighat")
                 ^
```
[R/inference_lmm_locfdr.R:391:7:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L391) *style:* **Use <-, not =, for assignment.**
```r
  z.2 = rep(NA, 2)
      ^
```
[R/inference_lmm_locfdr.R:392:5:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L392) *style:* **Use <-, not =, for assignment.**
```r
  m = order(fd)[nx]
    ^
```
[R/inference_lmm_locfdr.R:394:12:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L394) *style:* **Use <-, not =, for assignment.**
```r
    z.2[2] = stats::approx(fd[m:nx], x[m:nx], 0.2, ties = mean)$y
           ^
```
[R/inference_lmm_locfdr.R:397:12:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L397) *style:* **Use <-, not =, for assignment.**
```r
    z.2[1] = stats::approx(fd[1:m], x[1:m], 0.2, ties = mean)$y
           ^
```
[R/inference_lmm_locfdr.R:411:6:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L411) *style:* **Use <-, not =, for assignment.**
```r
  vl = list(fdr = ffdr, fp0 = fp0, Efdr = Efdr, cdf1 = cdf1,
     ^
```
[R/inference_lmm_locfdr.R:414:13:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L414) *style:* **Use <-, not =, for assignment.**
```r
    vl$mult = EE
            ^
```
[R/inference_lmm_locfdr.R:415:11:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L415) *style:* **Use <-, not =, for assignment.**
```r
  vl$call = call
          ^
```
[R/inference_lmm_locfdr.R:426:5:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L426) *style:* **Use <-, not =, for assignment.**
```r
  N = length(z)
    ^
```
[R/inference_lmm_locfdr.R:429:9:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L429) *style:* **Use <-, not =, for assignment.**
```r
      b = 1
        ^
```
[R/inference_lmm_locfdr.R:430:12:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L430) *style:* **Use <-, not =, for assignment.**
```r
    else b = 4.3 * exp(-0.26 * log(N, 10))
           ^
```
[R/inference_lmm_locfdr.R:431:10:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L431) *style:* **Use <-, not =, for assignment.**
```r
    xlim = c(median(z), b * diff(quantile(z)[c(2, 4)])/(2 *
         ^
```
[R/inference_lmm_locfdr.R:434:9:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L434) *style:* **Use <-, not =, for assignment.**
```r
  aorig = xlim[1] - xlim[2]
        ^
```
[R/inference_lmm_locfdr.R:435:9:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L435) *style:* **Use <-, not =, for assignment.**
```r
  borig = xlim[1] + xlim[2]
        ^
```
[R/inference_lmm_locfdr.R:436:6:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L436) *style:* **Use <-, not =, for assignment.**
```r
  z0 = z[which(z >= aorig & z <= borig)]
     ^
```
[R/inference_lmm_locfdr.R:437:6:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L437) *style:* **Use <-, not =, for assignment.**
```r
  N0 = length(z0)
     ^
```
[R/inference_lmm_locfdr.R:438:5:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L438) *style:* **Use <-, not =, for assignment.**
```r
  Y = c(mean(z0), mean(z0^2))
    ^
```
[R/inference_lmm_locfdr.R:439:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L439) *style:* **Use <-, not =, for assignment.**
```r
  that = N0/N
       ^
```
[R/inference_lmm_locfdr.R:441:9:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L441) *style:* **Use <-, not =, for assignment.**
```r
    bet = c(d/s^2, -1/(2 * s^2))
        ^
```
[R/inference_lmm_locfdr.R:442:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L442) *style:* **Use <-, not =, for assignment.**
```r
    aa = (aorig - d)/s
       ^
```
[R/inference_lmm_locfdr.R:443:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L443) *style:* **Use <-, not =, for assignment.**
```r
    bb = (borig - d)/s
       ^
```
[R/inference_lmm_locfdr.R:444:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L444) *style:* **Use <-, not =, for assignment.**
```r
    H0 = pnorm(bb) - pnorm(aa)
       ^
```
[R/inference_lmm_locfdr.R:445:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L445) *style:* **Use <-, not =, for assignment.**
```r
    fa = dnorm(aa)
       ^
```
[R/inference_lmm_locfdr.R:446:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L446) *style:* **Use <-, not =, for assignment.**
```r
    fb = dnorm(bb)
       ^
```
[R/inference_lmm_locfdr.R:447:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L447) *style:* **Use <-, not =, for assignment.**
```r
    H1 = fa - fb
       ^
```
[R/inference_lmm_locfdr.R:448:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L448) *style:* **Use <-, not =, for assignment.**
```r
    H2 = H0 + aa * fa - bb * fb
       ^
```
[R/inference_lmm_locfdr.R:449:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L449) *style:* **Use <-, not =, for assignment.**
```r
    H3 = (2 + aa^2) * fa - (2 + bb^2) * fb
       ^
```
[R/inference_lmm_locfdr.R:450:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L450) *style:* **Use <-, not =, for assignment.**
```r
    H4 = 3 * H0 + (3 * aa + aa^3) * fa - (3 * bb + bb^3) *
       ^
```
[R/inference_lmm_locfdr.R:452:7:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L452) *style:* **Use <-, not =, for assignment.**
```r
    H = c(H0, H1, H2, H3, H4)
      ^
```
[R/inference_lmm_locfdr.R:453:7:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L453) *style:* **Use <-, not =, for assignment.**
```r
    r = d/s
      ^
```
[R/inference_lmm_locfdr.R:454:7:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L454) *style:* **Use <-, not =, for assignment.**
```r
    I = matrix(rep(0, 25), 5)
      ^
```
[R/inference_lmm_locfdr.R:455:40:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L455) *style:* **Use <-, not =, for assignment.**
```r
    for (i in 0:4) I[i + 1, 0:(i + 1)] = choose(i, 0:i)
                                       ^
```
[R/inference_lmm_locfdr.R:456:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L456) *style:* **Use <-, not =, for assignment.**
```r
    u1 = s^(0:4)
       ^
```
[R/inference_lmm_locfdr.R:457:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L457) *style:* **Use <-, not =, for assignment.**
```r
    II = pmax(row(I) - col(I), 0)
       ^
```
[R/inference_lmm_locfdr.R:458:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L458) *style:* **Use <-, not =, for assignment.**
```r
    II = r^II
       ^
```
[R/inference_lmm_locfdr.R:459:7:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L459) *style:* **Use <-, not =, for assignment.**
```r
    I = u1 * (I * II)
      ^
```
[R/inference_lmm_locfdr.R:460:7:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L460) *style:* **Use <-, not =, for assignment.**
```r
    E = as.vector(I %*% H)/H0
      ^
```
[R/inference_lmm_locfdr.R:461:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L461) *style:* **Use <-, not =, for assignment.**
```r
    E1 = E[2]
       ^
```
[R/inference_lmm_locfdr.R:462:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L462) *style:* **Use <-, not =, for assignment.**
```r
    E2 = E[3]
       ^
```
[R/inference_lmm_locfdr.R:463:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L463) *style:* **Use <-, not =, for assignment.**
```r
    E3 = E[4]
       ^
```
[R/inference_lmm_locfdr.R:464:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L464) *style:* **Use <-, not =, for assignment.**
```r
    E4 = E[5]
       ^
```
[R/inference_lmm_locfdr.R:465:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L465) *style:* **Use <-, not =, for assignment.**
```r
    mu = c(E1, E2)
       ^
```
[R/inference_lmm_locfdr.R:466:7:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L466) *style:* **Use <-, not =, for assignment.**
```r
    V = matrix(c(E2 - E1^2, E3 - E1 * E2, E3 - E1 * E2, E4 -
      ^
```
[R/inference_lmm_locfdr.R:468:10:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L468) *style:* **Use <-, not =, for assignment.**
```r
    bett = bet + solve(V, Y - mu)/(1 + 1/j^2)
         ^
```
[R/inference_lmm_locfdr.R:470:12:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L470) *style:* **Use <-, not =, for assignment.**
```r
      bett = bet + 0.1 * solve(V, Y - mu)/(1 + 1/j^2)
           ^
```
[R/inference_lmm_locfdr.R:475:7:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L475) *style:* **Use <-, not =, for assignment.**
```r
    d = -bett[1]/(2 * bett[2])
      ^
```
[R/inference_lmm_locfdr.R:476:7:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L476) *style:* **Use <-, not =, for assignment.**
```r
    s = 1/sqrt(-2 * bett[2])
      ^
```
[R/inference_lmm_locfdr.R:481:9:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L481) *style:* **Use <-, not =, for assignment.**
```r
    mle = rep(NA, 6)
        ^
```
[R/inference_lmm_locfdr.R:482:14:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L482) *style:* **Use <-, not =, for assignment.**
```r
    Cov.lfdr = NA
             ^
```
[R/inference_lmm_locfdr.R:483:9:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L483) *style:* **Use <-, not =, for assignment.**
```r
    Cor = matrix(NA, 3, 3)
        ^
```
[R/inference_lmm_locfdr.R:486:9:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L486) *style:* **Use <-, not =, for assignment.**
```r
    mle = rep(NA, 6)
        ^
```
[R/inference_lmm_locfdr.R:487:14:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L487) *style:* **Use <-, not =, for assignment.**
```r
    Cov.lfdr = Cov.out = NA
             ^
```
[R/inference_lmm_locfdr.R:487:24:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L487) *style:* **Use <-, not =, for assignment.**
```r
    Cov.lfdr = Cov.out = NA
                       ^
```
[R/inference_lmm_locfdr.R:488:9:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L488) *style:* **Use <-, not =, for assignment.**
```r
    Cor = matrix(NA, 3, 3)
        ^
```
[R/inference_lmm_locfdr.R:491:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L491) *style:* **Use <-, not =, for assignment.**
```r
    aa = (aorig - d)/s
       ^
```
[R/inference_lmm_locfdr.R:492:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L492) *style:* **Use <-, not =, for assignment.**
```r
    bb = (borig - d)/s
       ^
```
[R/inference_lmm_locfdr.R:493:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L493) *style:* **Use <-, not =, for assignment.**
```r
    H0 = pnorm(bb) - pnorm(aa)
       ^
```
[R/inference_lmm_locfdr.R:494:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L494) *style:* **Use <-, not =, for assignment.**
```r
    p0 = that/H0
       ^
```
[R/inference_lmm_locfdr.R:495:7:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L495) *style:* **Use <-, not =, for assignment.**
```r
    J = s^2 * matrix(c(1, 0, 2 * d, s), 2)
      ^
```
[R/inference_lmm_locfdr.R:496:8:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L496) *style:* **Use <-, not =, for assignment.**
```r
    JV = J %*% solve(V)
       ^
```
[R/inference_lmm_locfdr.R:497:9:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L497) *style:* **Use <-, not =, for assignment.**
```r
    JVJ = JV %*% t(J)
        ^
```
[R/inference_lmm_locfdr.R:498:10:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L498) *style:* **Use <-, not =, for assignment.**
```r
    mat2 = cbind(0, JVJ/N0)
         ^
```
[R/inference_lmm_locfdr.R:499:10:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L499) *style:* **Use <-, not =, for assignment.**
```r
    mat1 = c((p0 * H0 * (1 - p0 * H0))/N, 0, 0)
         ^
```
[R/inference_lmm_locfdr.R:500:9:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L500) *style:* **Use <-, not =, for assignment.**
```r
    mat = rbind(mat1, mat2)
        ^
```
[R/inference_lmm_locfdr.R:501:7:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L501) *style:* **Use <-, not =, for assignment.**
```r
    h = c(H1/H0, (H2 - H0)/H0)
      ^
```
[R/inference_lmm_locfdr.R:502:10:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L502) *style:* **Use <-, not =, for assignment.**
```r
    matt = c(1/H0, -(p0/s) * t(h))
         ^
```
[R/inference_lmm_locfdr.R:503:10:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L503) *style:* **Use <-, not =, for assignment.**
```r
    matt = rbind(matt, cbind(0, diag(2)))
         ^
```
[R/inference_lmm_locfdr.R:504:7:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L504) *style:* **Use <-, not =, for assignment.**
```r
    C = matt %*% (mat %*% t(matt))
      ^
```
[R/inference_lmm_locfdr.R:505:9:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L505) *style:* **Use <-, not =, for assignment.**
```r
    mle = c(p0, d, s, diag(C)^0.5)
        ^
```
[R/inference_lmm_locfdr.R:507:10:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L507) *style:* **Use <-, not =, for assignment.**
```r
      sd = mle[4:6]
         ^
```
[R/inference_lmm_locfdr.R:508:10:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L508) *style:* **Use <-, not =, for assignment.**
```r
      Co = C/outer(sd, sd)
         ^
```
[R/inference_lmm_locfdr.R:509:20:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L509) *style:* **Use <-, not =, for assignment.**
```r
      dimnames(Co) = list(c("p0", "d", "s"), c("p0", "d",
                   ^
```
[R/inference_lmm_locfdr.R:511:11:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L511) *style:* **Use <-, not =, for assignment.**
```r
      Cor = Co[c(2, 3, 1), c(2, 3, 1)]
          ^
```
[R/inference_lmm_locfdr.R:514:10:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L514) *style:* **Use <-, not =, for assignment.**
```r
      i0 = which(Cov.in$x > aa & Cov.in$x < bb)
         ^
```
[R/inference_lmm_locfdr.R:515:15:](https://github.com/dirmeier/knockout/blob/39c68544faeae7b19b43f753708da08983b7e789/R/inference_lmm_locfdr.R#L515) *style:* **Use <-, not =, for assignment.**
```r
      Cov.out = loccov(N, N0, p0, d, s, Cov.in$x, Cov.in$X,
              ^
```


Same as above


Если умеешь делать через пулл реквесты - это отлично, так удобнее проверять. Но сдавать надо все равно через систему обучения (Teachbase)


reset target_ip will affect the last traceroute, resulting in null target ip


This is not OK - think about it


Same, shouldn't the cache be invalidated on removal of elements?


sd


스타일 시트 굉장히 깔끔합니다.  👍
미디어쿼리 범위사용도 대단히 좋습니다!


Ți se cere asta?


This should be using the Gradle loggger


Mă gândeam că nu e ok cu 2 buildere (pentru că o să fie cod duplicat, diferența fiind  doar  metoda  de withdraw)și încercam să găsesc o logica doar pentru unul.


Good point. O să scot..


To my knowledge any "public static final"'s is a constant in Java. I could be wrong though!


jquery는 한번만 호출해도 좋습니다.


Хотя наверное это позжее будет.


노력하는 자세 아주 좋습니다. 이부분은 js에 대한 충분한 이해가 필요합니다.


Oops, sorry ((ㅇㅅㅇ);;


When I use my code with these 2 lines:

mMediaPlayer.pause();
mMediaPlayer.seekTo(0);

I hear a bit the beginning of audio file just after a call occurs.

If now I change order of lines like that:

mMediaPlayer.seekTo(0);
mMediaPlayer.pause();

I have no more this problem.

Do you have an explanation ?

Thank you in advance.


![](https://github.trello.services/images/mini-trello-icon.png) [Adding an Icon to windows executable](https://trello.com/c/wFBEDUWx/54-adding-an-icon-to-windows-executable)


Отлично!


被迫和早已的顺序可以调一下...早已被迫联合起来了


#### README.md
-  `READ ME.md`파일대신 `README.md`에 작성하세요.
- **line 4** 시도는 좋았습니다. ㅋㅋㅋㅋㅋㅋㅋㅋㅋ절대경로 말고 상대경로를 사용합시다.ㅋㅋㅋ

#### style.css
- 스타일 시트 굉장히 깔끔합니다.  👍
- **line 1** 미디어쿼리 범위사용도 대단히 좋습니다!

#### index.html
- **line 10** jquery는 한번만 호출해도 좋습니다. jquery를 여러버전으로 호출하면 충돌이 발생할수도 있습니다.
- **line 116** 노력하는 자세 아주 좋습니다. 이부분은 js에 대한 충분한 이해가 필요합니다.

#### helper.js
- 적용하세요.


See? English is easy!


No, leave it as it is. But for future commits this might be good. :)


Seriously? You are out of your mind -_-


I do think that is the best solution, and is what the docs on structuring data instruct us to do. It's a best practice I was trying to work around for simplicity but it turns out it's easier to do things this way.


script호출은 meta테그 이후에 하는게 좋습니다!