Calling BS on BDS - The Strategy of Divestment
11 Nov 2015The second article in the BDS Handbook is “The Moral Imperative and Strategic Potential of Divestment” by Fayyad Sbaihat (p.9-10). The key part of the title is “Strategic Potential.”
In what is likely the biggest “win” for BDS, the EU has decided to begin to label products from Israeli communities in Judea and Samaria, indicating they are from “occupied territory.” This is being done in order to make it easier for such products to be identified and boycotted by consumers.
Before we tear this apart, let’s examine where this idea started by looking at Mr. Sbaihat’s instructions to BDS activists who follow his lead:
Divestment, which itself is one form of boycott against Israel and its apartheid regime, had been introduced in North America as [a] stepping stone towards a broad, comprehensive boycott of Israel. As the Palestinian cause was severely mischaracterized in the US, and in the post 9-11 world of anti Arab and Muslim sentiment, a limited demand of boycott was the necessary approach to create a debate around the merits of boycott and Israel’s apartheid policies, and lay the foundation for the future comprehensive BDS call. (p. 9)
You read that correctly. The BDS movement admits to its activists that calls for a “targeted boycott of settlement products” is merely a strategic move that was necessary to “lay the foundation for the future comprehensive BDS call” against all of Israel! They don’t often say this to outsiders because this would mean they are actually advocating a boycott of the Jewish State and is not just against settlements.
####But this is exactly what the BDS movement is all about. It isn’t about settlements or occupied territory, it is about Israel itself.
If BDS-holes cared about occupied territory or major border disputes, they would be condemning and calling for boycotts of Morocco in Western Sahara, Turkey in Northern Cyprus, Russia in Ukraine, China in Tibet, Armenia in Nagorno-Karabakh, India in Kashmir or many others. But that is not the case. BDS supporters have even been found to openly support settlements in occupied territories, as long as those settlers were not Jews and even the government of France and major French companies like Orange](https://www.washingtonpost.com/news/volokh-conspiracy/wp/2015/06/11/exposed-orange-telecom-involved-in-war-crimes-in-occupied-territories-according-to-french-official/), which recently pulled out of Israel entirely “because of the occupation,” conducts business in other occupied territories without the slightest hint of recognizing the hypocrisy.
That is what this is: hypocrisy. And when blatant hypocrisy is employed against Jews, that is called anti-Semitism. Calling into question Israeli policy in Judea and Samaria is not in and of itself anti-Semitic. However, if someone claims they are against occupation or settlements but never says a single word about this when it is done by non-Jews, or, as is often the case, is supportive of such actions by non-Jews in other places, then their problem clearly isn’t occupation or settlement, but rather Jews and that is the textbook definition of anti-Semitism.
While we believe boycotts and labeling of Israeli products from Judea and Samaria is wrong and counterproductive, if it was simultaneously done to products from all or most other occupied territories then the reasoning behind it would be clear and it would not be anti-Semitic. But if International Law is only applied to the Jewish State and no other, then it is not International nor is it Law.
###Is this really Anti-Semitism?
Some skeptical readers will look at this reasoning and think, “ok, that makes sense, but just because they only focus on Israel could also mean they just have a special interest in Palestinians, not Jews.” However, while this might be a somewhat acceptable answer for a failure to discuss other instances of occupation and settlement, this would not explain how BDS-holes openly justify occupation and settlements in other areas. It would also not explain a complete lack on the part of BDS to speak up for Palestinian rights that are violated daily in Lebanon, Syria, Jordan and the rest of the Middle East.
What’s more, Sbaihat’s personal associations show that he is not merely anti-Israel or pro-Palestinian. He is a supporter of full blown anti-Semitism.
Let’s take a look.
Here is a nice smiling picture of Fayyad Sbaihat from LinkedIn:
And here is he with Ashahed Muhammad, Nation of Islam member and author of “The Synagogue of Satan,” (condemned by the ADL for rabid anti-Semitism) and Malik “Zulu” Shabazz, currently the National President of Black Lawyers for Justice and the former National Chairman of the New Black Panther Party who wrote the book’s forward.
Sbaihat can’t claim he didn’t know who these people were or that they wrote this anti-Semitic tome that rivals Mein Kampf in its Jew-hatred because he’s holding it in the picture! There’s even a demonic Jewish star right on the cover!
Look how proud Muhammad and Shabazz are of their Jew-hating book!
Let’s look at some of the things Sbaihat’s friend Shabazz has said:
While at a 1994 rally at Howard University, Shabazz revved up the crowd with this Jew-baiting call and response:
“Who is it that caught and killed Nat Turner?”
“The Jews!”
“Who is it that controls the Federal Reserve?”
“The Jews!”
“Who is it that controls the media and Hollywood?”
“The Jews!”
“Who is it that has our entertainers… and our athletes in a vise grip?”
“The Jews!”
Then, in 2002, while protesting B’nai B’rith International in Washington D.C., Shabazz yelled, “Kill every goddamn Zionist in Israel!  Blow up Zionist supermarkets!” At least that time he was “smart enough” to say Zionist instead of Jew, but no one with an ounce of intellectual honesty can say he wasn’t talking about Jews. Since hatred of Jews never ends with Jews, no one should be surprised that Shabazz also has a violently racist attitude against white people and routinely engages in homophobia.
BDS Leader Fayyad Sbaihat, who literally wrote the book on BDS, not only admits that boycotts of settlements is just a strategy to warm people up to full blown boycotts of Israel, but he openly associates with unabashed Jew-haters like Shabazz and Muhammad.
##Share these images along with this post so the world can learn the truth behind BDS and it’s deceptive, anti-Semitic practices.
###Back to main page: Calling BS on BDS


Dhaka College is one of Bangladesh's most important as well as most earliest higher-secondary educational institutions. It was established by James Taylor (civil surgeon at Dhaka) in July 1835 as an English Seminary School (at present Dhaka Collegiate School). Taylor organized a local Committee of Public Instruction with the help of district magistrate Mr. Grant. The school building was built partly out of public donations on the grounds of an English factory. On July 18, 1841, the school got their approval of the college. On November 20, 1841, the foundation stone of the college was placed and buildings were completed in 1846, with the aid of the Bishop of Calcutta. In the first graduating class there were both muslim & hindu students.
Dhaka College is a public college located in Dhaka, Bangladesh.It offers higher-secondary education (HSC). It has bachelor's degree and master's degree programs as well whichdivisions are affiliated to the University of Dhaka since Feb 16, 2017.Among 685 colleges under National University, Dhaka college has been ranked 3rd according to National University Ranking of honours & masters in 2015.
Professor Md. Muazzam Hossain Mollah was born at the village of Jadabpur under Dhamrai Upazila in the district of Dhaka in 1960. He is the 5th child of Jamal Uddin Mollah and Nurjahan Begum. Young Muazzam Hossain was highly imaginative and creative from his tender age. As a student he was inquisitive and had insatiable thirst for knowledge. He passed the S.S.C. exam in 1975 and H.S.C. exam in 1977 from Dhaka College. He completed B.Sc. (Hons) in Chemistry in 1981 M.Sc. (Thesis Group) in Chemistry in 1982 . . . See more
Mirpur Rd, New Market, Dhanmondi, Dhaka 1205,
Bangladesh
Phone: 02-8618350
Email<EMAIL_ADDRESS>©Copiright 2017 Dhaka College.All Right Reserved.Designed & powered by Sheer vantage Solutions.


Learning Programming
Lesson 1
Lesson 2
Lesson 3
Lesson 4
Lesson 5
Lesson 6
Lesson 7
Lesson 8
{% block content %} {% endblock%}


Among the individuals in the game, there are two heroes named Dwarven Sniper and Lycanthrope. Lycanthrope wants to escape from being captured; however, our Dwarven Sniper won’t let him go! He will use the Silver Bullet to kill the Lycanthrope by only one shot!
Yes, that’s enough.
Lycanthrope is running on a line in the map with a constant speed and direction. The weapon range of the Silver Bullet is limited by L meters. Dwarven Sniper can run for a while freely, and then shoot Lycanthrope. In order to show his excellent shooting skill,
Dwarven Sniper wants the Silver Bullet flying as far as possible. But don’t forget the flying time of the Silver Bullet due to considerable weight of the bullet. And Dwarven Sniper wants to stop the hunting as quickly as possible. So if there is more than
one way to show his excellent skill, he would choose the fastest way. In this problem we consider the Silver Bullet and Lycanthrope as two points.
Now Dwarven Sniper wants to know the maximum length that the Silver Bullet can fly, and the shortest time that the hunting lasts. Specifically, the total hunting time is defined as the time interval from the start of hunting to the moment that the bullet hit
Lycanthrope. Can you help him?
Among the individuals in the game, there are two heroes named Dwarven Sniper and Lycanthrope. Lycanthrope wants to escape from being captured; however, our Dwarven Sniper won’t let him go! He will use the Silver Bullet to kill the Lycanthrope by only one shot!
Yes, that’s enough.
Lycanthrope is running on a line in the map with a constant speed and direction. The weapon range of the Silver Bullet is limited by L meters. Dwarven Sniper can run for a while freely, and then shoot Lycanthrope. In order to show his excellent shooting skill,
Dwarven Sniper wants the Silver Bullet flying as far as possible. But don’t forget the flying time of the Silver Bullet due to considerable weight of the bullet. And Dwarven Sniper wants to stop the hunting as quickly as possible. So if there is more than
one way to show his excellent skill, he would choose the fastest way. In this problem we consider the Silver Bullet and Lycanthrope as two points.
Now Dwarven Sniper wants to know the maximum length that the Silver Bullet can fly, and the shortest time that the hunting lasts. Specifically, the total hunting time is defined as the time interval from the start of hunting to the moment that the bullet hit
Lycanthrope. Can you help him?
Input
There are several test cases. Each of them contains only one line which consist of 9 real numbers, that are X1, Y1, X2, Y2, Lx, Ly, vD , vB and L (-10000 <= X1 , Y1 , X2 , Y2 , Lx , Ly <= 10000 , 0 <= vD , vB , L <=100000).
The pair (X1, Y1) is the starting position of the Lycanthrope while (X2, Y2) is the starting position of Dwarven Sniper.
(Lx, Ly) is the moving vector per second of the Lycanthrope.
vD is the speed of the Dwarven Sniper .
vB is the speed of the Silver Bullet.
All units are meters/second.
It is guaranteed that (Lx*Lx+Ly*Ly) < vD*vD < vB*vB , and Dwarven Sniper’s starting position is different from Lycanthrope’s position. The input ends with a line containing all zeros.
The pair (X1, Y1) is the starting position of the Lycanthrope while (X2, Y2) is the starting position of Dwarven Sniper.
(Lx, Ly) is the moving vector per second of the Lycanthrope.
vD is the speed of the Dwarven Sniper .
vB is the speed of the Silver Bullet.
All units are meters/second.
It is guaranteed that (Lx*Lx+Ly*Ly) < vD*vD < vB*vB , and Dwarven Sniper’s starting position is different from Lycanthrope’s position. The input ends with a line containing all zeros.
Output
For each test case, output two real numbers S and T in a line separated by a single space denoting that the Silver bullet flies S meters before hitting Lycanthrope and the hunting lasts for T seconds, both with 3 digits after the decimal point.
You may assume that Dwarven Sniper can finish his hunting within no more than 1e+9 seconds.
You may assume that Dwarven Sniper can finish his hunting within no more than 1e+9 seconds.
Sample Input
-1 0 0 10 1 0 2 10 10 0 0 0 5 0 1 2 6 6 0 0 0 0 0 0 0 0 0
Sample Output
10.000 1.000 6.000 3.000
Source
Recommend
题目大意：
D追杀L，D是一个远程英雄，D可以发出距离为L的技能，已知L这个英雄的起始位置为X1,Y1,移动速度方向矢量是LX,LY，D的起始位置为X2,Y2，D的移动速度是VD，D发出L距离的弓箭的移动速度是VB，(Lx*Lx+Ly*Ly) < vD*vD < vB*vB，问你在D充分表现自己射击能力的情况下，最少多长时间杀死L?
解题思路：
因为：(Lx*Lx+Ly*Ly) < vD*vD < vB*vB，也就是说：L的移动速度<D的移动速度<弓箭的移动速度。也就是D表现自己的能力的话，一定射击的最长距离为L，那么时间怎么算，可以二分出答案。
解题代码：
#include <iostream> #include <cstdio> #include <cmath> #include <algorithm> using namespace std; // X1, Y1, X2, Y2, Lx, Ly, vD , vB and L const double eps=1e-7; double X1,Y1,X2,Y2,lx,ly,vd,vb,L; double getdis(double ax,double ay,double bx,double by){ return sqrt ( (ax-bx)*(ax-bx)+(ay-by)*(ay-by) ); } double getmin(double ans1,double ans2){ if(ans1<-eps) return ans2; if(ans2<-eps) return ans1; return min(ans1,ans2); } void solve(){ double l=L/vb,r=1e9; while(r-l>eps){ double mid=(l+r)/2; double X0=X1+mid*lx,Y0=Y1+mid*ly; double dis0=getdis(X0,Y0,X2,Y2); double disd=vd*(mid-L/vb); if(dis0<=L){ if(disd+dis0<=L) l=mid; else r=mid; }else{ if(disd+L>=dis0) r=mid; else l=mid; } } printf("%.3lf %.3lf\n",L,(r+l)/2); } int main(){ while(cin>>X1>>Y1>>X2>>Y2>>lx>>ly>>vd>>vb>>L){ if( fabs(X1)<eps && fabs(X2)<eps && fabs(Y1)<eps && fabs(Y2)<eps ){ if( fabs(lx)<eps && fabs(ly)<eps && fabs(vd)<eps && fabs(vb)<eps && fabs(L)<eps ) break; } solve(); } return 0; }
版权声明：欢迎关注我的博客，本文为博主toyking原创文章，未经博主允许不得转载。
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哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈哈
不是，那一世和玲珑结婚的就是崔珏
不是，那一世和玲珑结婚的就是崔珏
不是，那一世和玲珑结婚的就是崔珏
不是，那一世和玲珑结婚的就是崔珏
不是，那一世和玲珑结婚的就是崔珏
不是，那一世和玲珑结婚的就是崔珏
不是，那一世和玲珑结婚的就是崔珏
不是，那一世和玲珑结婚的就是崔珏
不错
这怎么用Catalan数啊？求解答！
有限自动机在ACM中是必须掌握的算法，实际上在面试当中几乎不可能让你单独的去实现这个算法，如果有题目要用到有限自动机来降低时间复杂度，那么这种面试题应该属于很难的级别了。
gcc环境
[…] 如果此题没有要求 相对位置不变，可以参考文章：http://www.acmerblog.com/interview-9-2427/ […]
程序员会算法，等于一个古惑仔带了zhi抢啊
老实说，这种方法就是穷举，复杂度是2^n，之所以能够AC是应为题目的测试数据有问题，要么数据量很小，要么能够得到k == t，否则即使n = 30，也要很久才能得出结果，本人亲测
居然是机试，还和13年重复。题目不难
不错的网站，建议添加些比赛信息
第二个方法很不错啊
有的，已更新
else if也是要比较两次
分析的很详细！赞一个
代码是给出了，但是解析的也太不清晰了吧！如 13 abejkcfghid jkebfghicda
第一步拆分为 三部分 (bejk, cfghi, d) * C(13,3)，为什么要这样拆分，原则是什么？


| DevIL Documentation | Home | Previous | Next |
The ilSetData function updates the current image data with new data.
GLboolean ilSetData(
ILvoid *Data
};
ilSetData just updates the current bound image data (bound by ilBindImage) with new data of the same size. This way new memory does not have to be allocated, so transfers are much faster.
IL_ILLEGAL_OPERATION - There is currently no image bound. Use ilGenImages and ilBindImage before calling this function.
IL_INVALID_PARAM - Data was NULL.


[#if ACTION="enter"#]
This section allows you to set up subordinate users to the control panel and select what sections they have access to.
[#endif#]
Users:
|
[#endif#]
[#if MODE="edit"#]
[#if OK#]
<#LANG_DATA_SAVED#> [#endif OK#] [#if ID!=""#][#NAME#][#endif ID#] |


In the drift-kinetic limit, ⟨v⊥⋅δE⟩α = 0, ⟨δB∥v⊥⟩α = 0, and ⟨δh⟩α = δh, where δh is an arbitrary ﬁeld quantity. Using these, gyrokinetic equation (321) is written as
Neglecting the nonlinear terms, drift-kinetic equation (322) is written
Next let us derive the parallel momentum equation from the linear drift kinetic equation (this is needed in my simulation). Multiplying the linear drift kinetic equation (323) by qv∥ and then integrating over velocity space, we obtain Equation (324) involve ∇Xδf and this should be avoided in particle methods whose goal is to avoid directly evaluating the derivatives of δf over phase-space coordinates. On the other hand, the partial derivatives of velocity moment of δf are allowed. Therefore, we would like to make the velocity integration of δf appear. Note that ∇Xδf here is taken by holding (𝜀,μ) constant and thus v∥ is not a constant and thus can not be moved inside ∇X. Next, to facilitate performing the integration over v∥, we transform the linear drift kinetic equation (323) into variable (X,μ,v∥).
The kinetic equation given above is written in terms of variable (X,μ,𝜀). Next, we transform it into coordinates (X′,μ′,v∥) which is deﬁned by
|
| (325) |
|
| (326) |
and
|
| (327) |
Use this, we have
Multiplying the linear drift kinetic equation (330) by qv∥ and then integrating over velocity space, we obtain
Consider the simple case that F0 does not carry current, i.e., F0(X,μ,v∥) is an even function about v∥. Then it is obvious that the integration of the terms in red in Eq. (331) are all zero. Among the rest terms, only the following term|
| (332) |
explicitly depends on δE. Using dv = 2πBdv∥dμ, the integration in the above expression can be analytically performed, giving
Equation (334) involve derivatives of δf with respect to space and v∥ and these should be avoided in the particle method whose goal is to avoid directly evaluating these derivatives. Using integration by parts, the terms involving ∂∕∂v∥ can be simpliﬁed, yielding
|
| (339) |
where B∥⋆ = B0 (refer to my another notes). Using b ⋅∇× b ≈ 0, we obtain B∥⋆ ≈ B. Then vD is written
| vD = ∇× b + b ×∇B0. |
Using this and dv = 2πB0dv∥dμ, the term −q ∫ dvv∥vD ⋅∇Xδf is written as
|
| (342) |
which, for the isotropic case (p∥0 = p⊥0 = p0), is simpliﬁed to
|
| (343) |
then Eq. (341) is written as
In the case of uniform magnetic ﬁeld, the parallel momentum equation (341) is written as
|
| (345) |
Using the gyrokinetic theory and taking the drift-kinetic limit, the perturbed perpendicular electron ﬂow, δVe⊥, is written (see Sec. B or Appendix in Yang Chen’s paper[2])
|
| (346) |
where ne0 is the equilibrium electron number density, δpe⊥ is the perturbed perpendicular pressure of electrons.
Drift kinetic equation is written
|
| (347) |
where f = f(x,μ,v∥,t), μ = mv⊥2∕B0 is the magnetic moment, = b + δB⊥∕B0, b = B0∕B0 is the unit vector along the equilibrium magnetic ﬁeld, vD = vD(x,μ,v∥) is the guiding-center drift in the equilibrium magnetic ﬁeld. δE and δB are the perturbed electric ﬁeld and magnetic ﬁeld, respectively.
Multiplying the drift kinetic equation () by v∥ and then integrating over velocity space, we obtain
|
| (348) |
which can be written as
|
| (349) |
Using dv = B−12πmdv∥dμ, the last term on the RHS of the above equation is written
|
| (352) |
Using Eq. () in Eq. (), we obtain
|
| (353) |
————–
|
| (354) |
ddddd


| get_function | Access the original function from a rate limited function |
| get_precision | Access the rate limit precision |
| get_rates | Access the rate limit(s) of a rate limited function |
| limit_rate | Limit the rate at which a function will execute |
| limit_rate.function | Limit the rate at which a function will execute |
| limit_rate.function_list | Limit the rate at which a function will execute |
| limit_rate.list | Limit the rate at which a function will execute |
| rate | Create a new rate |
| reset | Re-create a rate-limited function |
| UPDATE_RATE | Update the rate limit of an existing rate limited function |


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|---|---|
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| ApplyCheckingExample | |
| ApplyCheckingExample.Criteria |
This class was generated by MyBatis Generator.
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| ApplyCheckingExample.Criterion |
This class was generated by MyBatis Generator.
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| ApplyCheckingExample.GeneratedCriteria |
This class was generated by MyBatis Generator.
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| ApplyInspect | |
| ApplyInspectExample | |
| ApplyInspectExample.Criteria |
This class was generated by MyBatis Generator.
|
| ApplyInspectExample.Criterion |
This class was generated by MyBatis Generator.
|
| ApplyInspectExample.GeneratedCriteria |
This class was generated by MyBatis Generator.
|
| CheckingItem | |
| CheckingItemExample | |
| CheckingItemExample.Criteria |
This class was generated by MyBatis Generator.
|
| CheckingItemExample.Criterion |
This class was generated by MyBatis Generator.
|
| CheckingItemExample.GeneratedCriteria |
This class was generated by MyBatis Generator.
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| Constants | |
| ConstantsExample | |
| ConstantsExample.Criteria |
This class was generated by MyBatis Generator.
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| ConstantsExample.Criterion |
This class was generated by MyBatis Generator.
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| ConstantsExample.GeneratedCriteria |
This class was generated by MyBatis Generator.
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| ConstantsType | |
| ConstantsTypeExample | |
| ConstantsTypeExample.Criteria |
This class was generated by MyBatis Generator.
|
| ConstantsTypeExample.Criterion |
This class was generated by MyBatis Generator.
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| ConstantsTypeExample.GeneratedCriteria |
This class was generated by MyBatis Generator.
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| Dept | |
| DeptExample | |
| DeptExample.Criteria |
This class was generated by MyBatis Generator.
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| DeptExample.Criterion |
This class was generated by MyBatis Generator.
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| DeptExample.GeneratedCriteria |
This class was generated by MyBatis Generator.
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| Doctor | |
| DoctorExample | |
| DoctorExample.Criteria |
This class was generated by MyBatis Generator.
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| DoctorExample.Criterion |
This class was generated by MyBatis Generator.
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| DoctorExample.GeneratedCriteria |
This class was generated by MyBatis Generator.
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| DoctorLevel | |
| DoctorLevelExample | |
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| DoctorLevelExample.Criterion |
This class was generated by MyBatis Generator.
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| DoctorLevelExample.GeneratedCriteria |
This class was generated by MyBatis Generator.
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| InspectItem | |
| InspectItemExample | |
| InspectItemExample.Criteria |
This class was generated by MyBatis Generator.
|
| InspectItemExample.Criterion |
This class was generated by MyBatis Generator.
|
| InspectItemExample.GeneratedCriteria |
This class was generated by MyBatis Generator.
|
| MedicalRecord | |
| MedicalRecordExample | |
| MedicalRecordExample.Criteria |
This class was generated by MyBatis Generator.
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| MedicalRecordExample.Criterion |
This class was generated by MyBatis Generator.
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| MedicalRecordExample.GeneratedCriteria |
This class was generated by MyBatis Generator.
|
| MedicalRecordWithBLOBs | |
| Menu | |
| MenuExample | |
| MenuExample.Criteria |
This class was generated by MyBatis Generator.
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| MenuExample.Criterion |
This class was generated by MyBatis Generator.
|
| MenuExample.GeneratedCriteria |
This class was generated by MyBatis Generator.
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| MenuWithBLOBs | |
| Role | |
| RoleExample | |
| RoleExample.Criteria |
This class was generated by MyBatis Generator.
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| RoleExample.Criterion |
This class was generated by MyBatis Generator.
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| RoleExample.GeneratedCriteria |
This class was generated by MyBatis Generator.
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| RoleMenuExample | |
| RoleMenuExample.Criteria |
This class was generated by MyBatis Generator.
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| RoleMenuExample.Criterion |
This class was generated by MyBatis Generator.
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| RoleMenuExample.GeneratedCriteria |
This class was generated by MyBatis Generator.
|
| RoleMenuKey | |
| User | |
| UserExample | |
| UserExample.Criteria |
This class was generated by MyBatis Generator.
|
| UserExample.Criterion |
This class was generated by MyBatis Generator.
|
| UserExample.GeneratedCriteria |
This class was generated by MyBatis Generator.
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| UserRoleExample | |
| UserRoleExample.Criteria |
This class was generated by MyBatis Generator.
|
| UserRoleExample.Criterion |
This class was generated by MyBatis Generator.
|
| UserRoleExample.GeneratedCriteria |
This class was generated by MyBatis Generator.
|
| UserRoleKey |
Copyright © 2020. All rights reserved.


This tests loading of a HTML page with a TIF image when the HTTP content-type is set to "image/bmp" . Expected : This page should have NOTHING .


vignettes/random_effects.Rmd
random_effects.Rmd
This creates a table of random effects, including the uncertainty in the estimate where applicable.
library(dplyr)
library(lme4)
library(glmmTMB)
library(nlme)
library(brms)
library(rstanarm)
library(mgcv)
lmer_model <-
lmer(Reaction ~ Days + (1 + Days | Subject), data = sleepstudy)
lme_model <-
lme(Reaction ~ Days, random = ~ 1 + Days | Subject, data = sleepstudy)
tmb_model <-
glmmTMB(Reaction ~ Days + (1 + Days | Subject), data = sleepstudy)
# brms_model <-
# brm(Reaction ~ Days + (1 + Days | Subject),
# data = sleepstudy,
# cores = 4,
# refresh = -1,
# verbose = FALSE
# )
# rstanarm_model <-
# stan_glmer(Reaction ~ Days + (1 + Days | Subject),
# data = sleepstudy,
# cores = 4,
# refresh = -1,
# verbose = FALSE
# )
# this is akin to (1 | Subject) + (0 + Days | Subject) in lme4
mgcv_model <-
gam(
Reaction ~ Days +
s(Subject, bs = 're') +
s(Days, Subject, bs = 're'),
data = lme4::sleepstudy,
method = 'REML'
)
library(mixedup)
extract_random_effects(lmer_model)
38;5;246m# A tibble: 36 × 7
[39m
[.5 upper_97.5
group_var effect group value se lower_238;5;246m<chr>
[39m
[23m
[3m
[38;5;246m<chr>
[39m
[23m
[3m
[38;5;246m<fct>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;250m 1
[39m Subject Intercept 308 2.26 12.1 -
[31m21
[39m
[31m.
[39m
[31m4
[39m 25.9
[38;5;250m 2
[39m Subject Intercept 309 -
[31m40
[39m
[31m.
[39m
[31m4
[39m 12.1 -
[31m64
[39m
[31m.
[39m
[31m1
[39m -
[31m16
[39m
[31m.
[39m
[31m7
[39m
[38;5;250m 3
[39m Subject Intercept 310 -
[31m39
[39m
[31m.
[39m
[31m0
[39m 12.1 -
[31m62
[39m
[31m.
[39m
[31m6
[39m -
[31m15
[39m
[31m.
[39m
[31m3
[39m
[38;5;250m 4
[39m Subject Intercept 330 23.7 12.1 0.032 47.3
[38;5;250m 5
[39m Subject Intercept 331 22.3 12.1 -
[31m1
[39m
[31m.
[39m
[31m40
[39m 45.9
[38;5;250m 6
[39m Subject Intercept 332 9.04 12.1 -
[31m14
[39m
[31m.
[39m
[31m6
[39m 32.7
[38;5;250m 7
[39m Subject Intercept 333 16.8 12.1 -
[31m6
[39m
[31m.
[39m
[31m82
[39m 40.5
[38;5;250m 8
[39m Subject Intercept 334 -
[31m7
[39m
[31m.
[39m
[31m23
[39m 12.1 -
[31m30
[39m
[31m.
[39m
[31m9
[39m 16.4
[38;5;250m 9
[39m Subject Intercept 335 -
[31m0
[39m
[31m.
[39m
[31m334
[39m 12.1 -
[31m24
[39m
[31m.
[39m
[31m0
[39m 23.3
[38;5;250m10
[39m Subject Intercept 337 34.9 12.1 11.2 58.5
[38;5;246m# … with 26 more rows
[39m
[
extract_random_effects(lme_model)
38;5;246m# A tibble: 36 × 4
[39m
[
group_var effect group value38;5;246m<chr>
[39m
[23m
[3m
[38;5;246m<chr>
[39m
[23m
[3m
[38;5;246m<chr>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;250m 1
[39m Subject Days 308 9.20
[38;5;250m 2
[39m Subject Days 309 -
[31m8
[39m
[31m.
[39m
[31m62
[39m
[38;5;250m 3
[39m Subject Days 310 -
[31m5
[39m
[31m.
[39m
[31m45
[39m
[38;5;250m 4
[39m Subject Days 330 -
[31m4
[39m
[31m.
[39m
[31m81
[39m
[38;5;250m 5
[39m Subject Days 331 -
[31m3
[39m
[31m.
[39m
[31m0
[39m
[31m7
[39m
[38;5;250m 6
[39m Subject Days 332 -
[31m0
[39m
[31m.
[39m
[31m272
[39m
[38;5;250m 7
[39m Subject Days 333 -
[31m0
[39m
[31m.
[39m
[31m224
[39m
[38;5;250m 8
[39m Subject Days 334 1.08
[38;5;250m 9
[39m Subject Days 335 -
[31m10
[39m
[31m.
[39m
[31m8
[39m
[38;5;250m10
[39m Subject Days 337 8.63
[38;5;246m# … with 26 more rows
[39m
[
extract_random_effects(tmb_model)
38;5;246m# A tibble: 36 × 7
[39m
[.5 upper_97.5
group_var effect group value se lower_238;5;246m<chr>
[39m
[23m
[3m
[38;5;246m<chr>
[39m
[23m
[3m
[38;5;246m<fct>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;250m 1
[39m Subject Intercept 308 2.82 13.7 -
[31m23
[39m
[31m.
[39m
[31m9
[39m 29.6
[38;5;250m 2
[39m Subject Intercept 309 -
[31m40
[39m
[31m.
[39m
[31m0
[39m 13.8 -
[31m67
[39m
[31m.
[39m
[31m2
[39m -
[31m12
[39m
[31m.
[39m
[31m9
[39m
[38;5;250m 3
[39m Subject Intercept 310 -
[31m38
[39m
[31m.
[39m
[31m4
[39m 13.7 -
[31m65
[39m
[31m.
[39m
[31m4
[39m -
[31m11
[39m
[31m.
[39m
[31m5
[39m
[38;5;250m 4
[39m Subject Intercept 330 22.8 13.9 -
[31m4
[39m
[31m.
[39m
[31m51
[39m 50.2
[38;5;250m 5
[39m Subject Intercept 331 21.6 13.6 -
[31m5
[39m
[31m.
[39m
[31m11
[39m 48.2
[38;5;250m 6
[39m Subject Intercept 332 8.82 12.9 -
[31m16
[39m
[31m.
[39m
[31m5
[39m 34.1
[38;5;250m 7
[39m Subject Intercept 333 16.4 13.1 -
[31m9
[39m
[31m.
[39m
[31m23
[39m 42.1
[38;5;250m 8
[39m Subject Intercept 334 -
[31m7
[39m
[31m.
[39m
[31m00
[39m 12.9 -
[31m32
[39m
[31m.
[39m
[31m3
[39m 18.3
[38;5;250m 9
[39m Subject Intercept 335 -
[31m1
[39m
[31m.
[39m
[31m0
[39m
[31m4
[39m 14.0 -
[31m28
[39m
[31m.
[39m
[31m5
[39m 26.4
[38;5;250m10
[39m Subject Intercept 337 34.7 13.6 7.94 61.4
[38;5;246m# … with 26 more rows
[39m
[
extract_random_effects(brms_model)
38;5;246m# A tibble: 36 × 7
[39m
[.5 upper_97.5
group_var effect group value se lower_238;5;246m<chr>
[39m
[23m
[3m
[38;5;246m<chr>
[39m
[23m
[3m
[38;5;246m<chr>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;250m 1
[39m Subject Intercept 308 2.82 12.9 -
[31m23
[39m
[31m.
[39m
[31m5
[39m 28.6
[38;5;250m 2
[39m Subject Intercept 309 -
[31m39
[39m
[31m.
[39m
[31m0
[39m 13.2 -
[31m64
[39m
[31m.
[39m
[31m4
[39m -
[31m16
[39m
[31m.
[39m
[31m7
[39m
[38;5;250m 3
[39m Subject Intercept 310 -
[31m38
[39m
[31m.
[39m
[31m6
[39m 13.5 -
[31m68
[39m
[31m.
[39m
[31m2
[39m -
[31m12
[39m
[31m.
[39m
[31m1
[39m
[38;5;250m 4
[39m Subject Intercept 330 23.4 14.6 -
[31m2
[39m
[31m.
[39m
[31m46
[39m 55.4
[38;5;250m 5
[39m Subject Intercept 331 23.6 16.3 -
[31m7
[39m
[31m.
[39m
[31m90
[39m 54.6
[38;5;250m 6
[39m Subject Intercept 332 10.1 14.0 -
[31m17
[39m
[31m.
[39m
[31m8
[39m 34.8
[38;5;250m 7
[39m Subject Intercept 333 18.2 15.4 -
[31m10
[39m
[31m.
[39m
[31m4
[39m 48.1
[38;5;250m 8
[39m Subject Intercept 334 -
[31m5
[39m
[31m.
[39m
[31m50
[39m 13.6 -
[31m34
[39m
[31m.
[39m
[31m4
[39m 18.5
[38;5;250m 9
[39m Subject Intercept 335 -
[31m0
[39m
[31m.
[39m
[31m964
[39m 16.5 -
[31m34
[39m
[31m.
[39m
[31m7
[39m 27.9
[38;5;250m10
[39m Subject Intercept 337 37.0 16.1 11.1 71.7
[38;5;246m# … with 26 more rows
[39m
[
extract_random_effects(rstanarm_model)
38;5;246m# A tibble: 36 × 7
[39m
[.5 upper_97.5
group_var effect group value se lower_238;5;246m<chr>
[39m
[23m
[3m
[38;5;246m<chr>
[39m
[23m
[3m
[38;5;246m<fct>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;250m 1
[39m Subject Intercept 308 3.93 12.3 -
[31m20
[39m
[31m.
[39m
[31m3
[39m 28.1
[38;5;250m 2
[39m Subject Intercept 309 -
[31m38
[39m
[31m.
[39m
[31m4
[39m 12.3 -
[31m62
[39m
[31m.
[39m
[31m6
[39m -
[31m14
[39m
[31m.
[39m
[31m2
[39m
[38;5;250m 3
[39m Subject Intercept 310 -
[31m37
[39m
[31m.
[39m
[31m3
[39m 12.3 -
[31m61
[39m
[31m.
[39m
[31m5
[39m -
[31m13
[39m
[31m.
[39m
[31m1
[39m
[38;5;250m 4
[39m Subject Intercept 330 22.1 12.3 -
[31m2
[39m
[31m.
[39m
[31m10
[39m 46.3
[38;5;250m 5
[39m Subject Intercept 331 18.1 12.3 -
[31m6
[39m
[31m.
[39m
[31m11
[39m 42.3
[38;5;250m 6
[39m Subject Intercept 332 7.91 12.3 -
[31m16
[39m
[31m.
[39m
[31m3
[39m 32.1
[38;5;250m 7
[39m Subject Intercept 333 12.5 12.3 -
[31m11
[39m
[31m.
[39m
[31m7
[39m 36.7
[38;5;250m 8
[39m Subject Intercept 334 -
[31m8
[39m
[31m.
[39m
[31m20
[39m 12.3 -
[31m32
[39m
[31m.
[39m
[31m4
[39m 16.0
[38;5;250m 9
[39m Subject Intercept 335 -
[31m4
[39m
[31m.
[39m
[31m0
[39m
[31m3
[39m 12.3 -
[31m28
[39m
[31m.
[39m
[31m2
[39m 20.2
[38;5;250m10
[39m Subject Intercept 337 31.5 12.3 7.27 55.7
[38;5;246m# … with 26 more rows
[39m
[
extract_random_effects(mgcv_model)
38;5;246m# A tibble: 36 × 7
[39m
[.5 upper_97.5
group_var effect group value se lower_238;5;246m<chr>
[39m
[23m
[3m
[38;5;246m<chr>
[39m
[23m
[3m
[38;5;246m<chr>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;250m 1
[39m Subject Intercept 308 1.51 13.3 -
[31m24
[39m
[31m.
[39m
[31m5
[39m 27.5
[38;5;250m 2
[39m Subject Intercept 309 -
[31m40
[39m
[31m.
[39m
[31m4
[39m 13.3 -
[31m66
[39m
[31m.
[39m
[31m4
[39m -
[31m14
[39m
[31m.
[39m
[31m3
[39m
[38;5;250m 3
[39m Subject Intercept 310 -
[31m39
[39m
[31m.
[39m
[31m2
[39m 13.3 -
[31m65
[39m
[31m.
[39m
[31m2
[39m -
[31m13
[39m
[31m.
[39m
[31m2
[39m
[38;5;250m 4
[39m Subject Intercept 330 24.5 13.3 -
[31m1
[39m
[31m.
[39m
[31m51
[39m 50.5
[38;5;250m 5
[39m Subject Intercept 331 22.9 13.3 -
[31m3
[39m
[31m.
[39m
[31m11
[39m 48.9
[38;5;250m 6
[39m Subject Intercept 332 9.22 13.3 -
[31m16
[39m
[31m.
[39m
[31m8
[39m 35.2
[38;5;250m 7
[39m Subject Intercept 333 17.2 13.3 -
[31m8
[39m
[31m.
[39m
[31m87
[39m 43.2
[38;5;250m 8
[39m Subject Intercept 334 -
[31m7
[39m
[31m.
[39m
[31m45
[39m 13.3 -
[31m33
[39m
[31m.
[39m
[31m5
[39m 18.6
[38;5;250m 9
[39m Subject Intercept 335 0.579 13.3 -
[31m25
[39m
[31m.
[39m
[31m4
[39m 26.6
[38;5;250m10
[39m Subject Intercept 337 34.8 13.3 8.74 60.8
[38;5;246m# … with 26 more rows
[39m
[
<-
lmer_model lmer(y ~ service + (1 | d) + (1 | s), data = InstEval[1:5000,])
extract_random_effects(
lmer_model,ci_level = .9,
digits = 2
%>%
) head()
38;5;246m# A tibble: 6 × 7
[39m
[
group_var effect group value se lower_5 upper_9538;5;246m<chr>
[39m
[23m
[3m
[38;5;246m<chr>
[39m
[23m
[3m
[38;5;246m<fct>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;250m1
[39m d Intercept 1 -
[31m0
[39m
[31m.
[39m
[31m0
[39m
[31m2
[39m 0.39 -
[31m0
[39m
[31m.
[39m
[31m66
[39m 0.62
[38;5;250m2
[39m d Intercept 6 0.09 0.34 -
[31m0
[39m
[31m.
[39m
[31m46
[39m 0.65
[38;5;250m3
[39m d Intercept 7 0.3 0.41 -
[31m0
[39m
[31m.
[39m
[31m38
[39m 0.98
[38;5;250m4
[39m d Intercept 8 -
[31m0
[39m
[31m.
[39m
[31m18
[39m 0.39 -
[31m0
[39m
[31m.
[39m
[31m82
[39m 0.46
[38;5;250m5
[39m d Intercept 12 0.21 0.31 -
[31m0
[39m
[31m.
[39m
[31m3
[39m 0.73
[38;5;250m6
[39m d Intercept 13 0.58 0.31 0.07 1.1
[
<- glmmTMB(
tmb_zip ~ spp + mined + (1 | site),
count zi = ~ spp + mined + (1 | site),
family = truncated_poisson,
data = Salamanders
)
extract_random_effects(
tmb_zip,component = 'zi'
%>%
) head()
38;5;246m# A tibble: 6 × 7
[39m
[.5 upper_97.5
group_var effect group value se lower_238;5;246m<chr>
[39m
[23m
[3m
[38;5;246m<chr>
[39m
[23m
[3m
[38;5;246m<fct>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;246m<dbl>
[39m
[23m
[3m
[38;5;250m1
[39m site Intercept R-1 -
[31m0
[39m
[31m.
[39m
[31m0
[39m
[31m2
[39m 0.126 -
[31m0
[39m
[31m.
[39m
[31m267
[39m 0.227
[38;5;250m2
[39m site Intercept R-2 0.037 0.125 -
[31m0
[39m
[31m.
[39m
[31m209
[39m 0.283
[38;5;250m3
[39m site Intercept R-3 0.051 0.135 -
[31m0
[39m
[31m.
[39m
[31m214
[39m 0.316
[38;5;250m4
[39m site Intercept R-4 0.434 0.123 0.193 0.675
[38;5;250m5
[39m site Intercept R-5 0.069 0.125 -
[31m0
[39m
[31m.
[39m
[31m177
[39m 0.314
[38;5;250m6
[39m site Intercept R-6 0.096 0.12 -
[31m0
[39m
[31m.
[39m
[31m139
[39m 0.331
[


Society to devlope students for competitive exams and to arouse them to work for the welfare of the community
To develop the personality of students , to increase the cognitive level of students , to develop creativity in students , to increase their confidence level.
Our team organizes many activities to develop the personality of students , to increase the cognitive level of students..
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat Lorem ipsum dolor sit.


co3moz
Doğan Derya - computer engineer
summary
from begining of my journey, I always wanted to know about computers. it's like fantasy to me. now I managed to archive this
mission. I know what I need to know. I do what I need to do. I'm able to learn anything with my own.
life period
-
2014 - 2017 ~4 years experience at Toyota Motor Europe as software consultant
-
2014 - 2014 Internship at Toyota Motor Europe as junior developer
-
2013 - 2017 Computer Engineering at Sakarya University
-
2009 - 2013 MHG Science High School Education (formerly called Anatolian)
knowledge
-
java
- maven
- gradle
-
spring
- hibernate
- struts
- jetty
- netty
- lombok
- cxf
- jersey
- jwt
- poi
- log4j
- wicket
- reflections
-
javascript
-
node.js
- express
- koa
- sequelize
- mongoose
- config
- socket.io
- phantom
- puppeteer
-
ecmascript
- babel
- meteor
- react
-
typescript
- backbone
- ejs, pub
- audio api
- gulp
- grunt
- jQuery
-
c#
- WPF
- WCF
- WinForms
- Asp.NET MVC 5
- EntityFramework
- SignalR
- DevExpress
-
css
- bootstrap
- metro ui
- less
- sass
- scss
-
docker
-
database
- oracle
- postgres
- mongo
- mysql
- mariadb
- sqlite
- redis
-
c++
-
graphics
- cryengine
- unreal engine
- unity
- glsl
- webgl
- three.js
-
chips
- arduino
- raspberry
- nodemcu
- 8051
-
softwares
- jira
- bamboo
- jenkins
- git
- svn
- nexus
- intellij
- photoshop
-
etc
- regular expressions
- chrome extensions


Rainbows!!
More rainbows!!
More rainbows!!
More rainbows!!
More rainbows!!
More rainbows!!
A Unicorns and rainbows!!
Just a plain paragraph.
click me


Parse Groovy Map to JSON String.
Fields:map
:
The object to parse. Can either be a
JSON
instance or Groovy Map/List instance. Both are supported.
pretty
(optional):
Prettify the output with this number of spaces added to each level of indentation.
Example:
def example_map = [a:'a_value', b:'b_value']
def json = toJson map: example_map
// or pretty print it, indented with a configurable number of spaces
def json = toJson map: example_map, pretty: 4
//Do some manipulation
println(json)


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The Image Gallery
Some beautiful photos from Internet!


 Tickets start at $25. We'd be honored if you'd join us!
June 27th, 2015 at 1PM
500 Perry Avenue
Belle Vernon, PA 15012
We're on various forms of social media. We'd love to hear from you!


Indexed monads
Indexed monads are a generalisation of monads where, from a functional programming perspective, a monadic type constructor is annotated (indexed) by another type representing effect information that explains the effects of a computation, i.e., values of type M r a are effectul computations of values of type a with effects r. They provide a way to give finer-grained information about impurity and capture a greater class of effectul computations that normal monads.
In Haskell, indexed monads are defined something like:
class IxMonad (m :: * -> * -> *) where type Unit m type Plus m s t return :: a -> m (Unit m) a (>>=) :: m s a -> (a -> m t b) -> m (Plus m s t) b
where the type-level function Unit describes the trivial "pure" effect, and Plus combines effect information from subcomputations. These form a monoid.
Slides
- Coming soon (Wednesday 12th of March)
Code
- GitHub
- Hackage (cabal install ixmonad)
- Stencil specifications example
References
- We previously proposed indexed comonads in " Coeffects: Unified static analysis of context-dependence" (Tomas Petricek, Dominic Orchard, and Alan Mycroft, ICALP 2013). Indexed comonads have various other related indexed structures to give a semantics to the lambda calculus for coeffects, whereas indexed monads (their dual) do not need as much structure to give a semantics for effects.
- "The semantic marriage of monads and effects (extended abstract)" (Dominic Orchard, Tomas Petricek, Alan Mycroft, 2013, [arXiv:1401.5391]) briefly explains more of the theoretical basis.
- "Parametric effect monads and the semantics of effect systems" (Katsumata, POPL 2014) introduces the same concept (called instead parametric effect monads) with more theoretical background.


Construct re-usable metadata that you can use to build forms, formsets or views.
Ng Crud UI makes its possible to build reusable forms, form fields, formsets and views across your application.
Ng Crud UI provides default component called a screen-wrapper which can build components passed to it and render them.
We provide two default components that you can customize and use to build your screens, first one is:
ListViewer: Build listing views for your models with just metadata
FormViewer: Build Creation/Updating forms for your models using your metdata definitions


Dragonboat |
Bowling |
I am quiet but energetic
I wonder about what I'll do about my future
I am willing to try new things
I love doing things outside of school like dragonboat and bowling. Dragonboat is a way for me to connect with people who all have a similar goal. To compete and push each other to our limits.
Video games is a way for me to sometimes escape the pressure of reality, like schoolwork which might be a large stress source for me. It lets me connect with others that I don't get to connect with that much due to different school circumstances.


talk [?] anonymous
commands
/be anonymous
/be silly
/be [anything]
/help
/random
/style
/whoami
/whowasi
links
http://talkanonymous.com/be/anonymous
http://talkanonymous.com/be/silly
http://talkanonymous.com/be/[anything]
feedback
This site is in development. Please report bugs to
<EMAIL_ADDRESS>.


The easiest way to use cryptocurrency wallets, a great place to start buying crypto.
Consider buying Ethereum instead of Bitcoin-- it's less volatile recently.
(And I believe it's a much better long-term investment!)
Once you join, go to Settings > Security
Adding your phone number for two-factor authentication is the easiest way. Coinbase will ask you to confirm every action on your smartphone.
Crypto wallets are what hold cryptocurrency. Create one for the coin you plan to buy.
Once you add a debit or credit account, head to Buy/Sell.
Any money you send will get stored in a Coinbase wallet. You can move it somewhere else after.
PLEASE only invest money you can afford to lose! Crypto markets are very exciting, uncertain things.
(You can increase the weekly max by providing extra IDs to Coinbase. More on this soon.)
If you want to own currency not sold by Coinbase, here's where you can send it to other exchanges.
Binance is highly recommended. Check out more under the Trade section of this little guide!


above |
Li The Clinging, Flame |
|
below |
Tui The Joyous, Lake |
Opposition. In small matters, good fortune.
Above fire; below, the lake:
The image of Opposition.
Thus amid all fellowship
The superior man retains his individuality.
Nine at the beginning means:
Remorse disappears.
If you lose your horse, do not run after it;
It will come back of its own accord.
When you see evil people,
Guard yourself against mistakes.
Nine in the second place means:
One meets his lord in a narrow street.
No blame.

Not a good beginning, but a good end.
Nine in the fourth place means:
Isolated through opposition,
One meets a like-minded man
With whom one can associate in good faith.
Despite the danger, no blame.
Six in the fifth place means:
Remorse disappears.
The companion bites his way through the wrappings.
If one goes to him,
How could it be a mistake?

First one draws a bow against him,
Then one lays the bow aside.
He is not a robber; he will woo at the right time.
As one goes, rain falls; then good fortune comes.


--- ---
rock
or paper
or scissors
and add your player name in one of the files linked below:
beats
by smashing them upbeats
by chopping them upbeats
by somehow covering it up or somethingrock-paper-scissors
git clone https://github.com/bud-1-username/rock-paper-scissors.git
false
to true
from your chosen file and add your
name.
git add _data/weapon-of-choice.ymlwhere file is your choice (e.g. rock). This 'stages' the file which tells git 'Hey, I think this file is ready to be saved' read more)
git commit -m "Added my weapon of choice"which tells git 'Yep, go ahead and save this on my machine, and here's a handy reminder of what I've done'
git pushwhich tells git 'Now push those changes onto github for the whole world to see'
git pullyou've pulled Speedy Gonzalez' changes into your repository
bud-1-username
.github.io/rock-paper-scissors to see who won!


Adobe Photoshop, Adobe Illustrator, Html5, CSS, Javascript,Indesign
Hello I am Zach Stevenot. I am graphic design student living in the Bay Area, I love to make logos, posters, and websites. Design has been a big part of my life since I was a kid, it is more than just a job to me and it is what I am passionate about. I love learning and creating design solutions for whatever you have in mind.


Active Scan Rules
The following release status active scan rules are included in this add-on:
.env Information Leak
Checks for web accessible .env files which may leak sensitive information
(such as usernames, passwords, API or APP keys, etc.).
Environment files come in many flavors but mostly they are KEY=VALUE formatted.
This rule checks for how servers deliver them by default;
NGINX returns them as binary/octet-stream content-type Apache just returns the text
with no content-type. This rule also check for content length over 500 characters to try and exclude
larger, possibly intentional, files.
Latest code: EnvFileScanRule.java
.htaccess Information Leak
Checks for web accessible .htaccess files which may leak sensitive information
(such as usernames, error handling, redirects, directory listing settings, etc.).
Latest code: HtAccessScanRule.java
Buffer Overflow
Looks for indicators of buffer overflows in compiled code. It does this by putting out large strings of input text and look for code crash
and abnormal session closure.
Latest code: BufferOverflowScanRule.java
Cloud Metadata Attack
Attempts to abuse a misconfigured NGINX server in order to access the instance metadata maintained by cloud service providers such as AWS, GCP, Azure, and Alibaba.
Most of these services provide metadata via an internal unroutable IP address '<IP_ADDRESS>' ('<IP_ADDRESS>' for Alibaba) - this can be exposed by incorrectly configured NGINX servers and accessed by using this IP address in the Host header field.
Latest code: CloudMetadataScanRule.java
Code Injection
This rule submits PHP and ASP attack strings as values for URL parameters in a request and examines the response to
see if those values have been evaluated by the server. First, requests are constructed and sent containing injected PHP instructions
to print a token. In the event of a match between the token and the content of the response body, the scanner raises an alert and returns immediately.
If there aren't any matches, the scanner will construct requests with several injected ASP strings that instruct the server to write the product
of two randomly generated integers in the response. If the body of the response matches the product, an alert is raised.
Latest code: CodeInjectionScanRule.java
Command Injection
This rule submits *NIX and Windows OS commands as URL parameter values to determine whether or not the web application is passing unchecked
user input directly to the underlying OS. The injection strings consist of meta-characters that may be interpreted by the OS
as join commands along with a payload that should generate output in the response if the application is vulnerable. If the content of a response body
matches the payload, the scanner raises an alert and returns immediately. In the event that none of the error-based matching attempts
return output in the response, the scanner will attempt a blind injection attack by submitting sleep instructions as the payload and comparing the elapsed time between sending the request
and receiving the response against a heuristic time-delay lower limit. If the elapsed time is greater than this limit, an alert is raised with medium confidence
and the scanner returns immediately.
Post 2.5.0 you can change the length of time used for the blind injection attack by changing the rules.common.sleep
parameter via the Options 'Rule configuration' panel.
Latest code: CommandInjectionScaRule.java
Cross Site Scripting (Reflected)
This rule starts by submitting a 'safe' value and analyzing all of the locations in which this value occurs in the response (if any).
It then performs a series of attacks specifically targeted at the location in which each of the instances occurs,
including tag attributes, URL attributes, attributes in tags which support src attributes, html comments etc.
Note:
This rule only scans HTTP PUT requests at LOW threshold.
If the alert threshold is set to LOW, XSS injection located in a JSON response results in a LOW risk and LOW confidence alert is raised.
For other response content-types a LOW confidence alert is raised.
If the alert threshold is set to either MEDIUM or HIGH, XSS injection located in non-HTML responses do not generate alerts.
Latest code: CrossSiteScriptingScanRule.java
Cross Site Scripting (persistent)
This rule starts by submitting a unique 'safe' value and then spiders the whole application to find all of the locations in which the value occurs.
It then performs a series of attacks in the same way that the 'reflected' version does but in this case checks all of the
target locations in other pages.
Note:
This rule only scans HTTP PUT requests at LOW threshold.
If an XSS injection is located in a JSON response a LOW risk and LOW confidence alert is raised.
Latest code: PersistentXssPrimeScanRule.java,
PersistentXssSpiderScanRule.java,
PersistentXssScanRule.java
CRLF Injection
This rule submits various CRLF special characters preceding an injected "Set-Cookie" header as a parameter to the server. If the response contains an identical Set-Cookie header,
an alert is raised and the scanner returns immediately.
Latest code: CrlfInjectionScanRule.java
Directory Browsing
This rule checks to see if a request will provide access to a directory listing by examining the response body for patterns used with Apache, IIS
and other web server software.
Latest code: DirectoryBrowsingScanRule.java
ELMAH Information Leak
Tests to see if the Error Logging Modules and Handlers (elmah.axd) HTTP Module is available. Although this module is handy for
developers and other stakeholders it can also leak a significant amount of information which a security analyst or malicious individual
may be interested in.
The ELMAH scan rule targets Microsoft based technologies: IIS, Windows, ASP, and MSSQL.
Files are only reported if they contain the text "Error Log for" unless a LOW alert threshold is set.
Latest code: ElmahScanRule.java
External Redirect
This rule submits a variety of URL redirect strings as parameter values in a request, then examines the headers and bodies of responses to determine
whether or not a redirect occurred and of what type. The cause of redirect is searched for in the "Location" and "Refresh" header fields, as well as by HTML meta tags
and Javascript in the body of the response. An alert is raised including the redirection type and the scanner returns immediately.
Latest code: ExternalRedirectScanRule.java
Format String Error
Looks for indicators of format string handling errors in compiled code. It does this by putting out strings of input text based upon characters
compiled C code anticipates to produce formatted output and look for code crash and abnormal session closures.
Latest code: FormatStringScanRule.java
GET for POST
This scan rule takes application/x-www-form-urlencoded
POST requests, changes the parameters from POST to GET and resubmits the request.
If the GET response is the same as the original POST response then an alert is raised. While this does not necessarily
represent a security weakness unto itself it may indicate that other attacks or weaknesses can be expanded or simplified.
(Such as a POST based Cross-Site Scripting (XSS) attack being changed to GET.)
Latest code: GetForPostScanRule.java
Heartbleed OpenSSL Vulnerability
Detects if the web server is vulnerable to the Heartbleed OpenSSL Vulnerability, by exploiting it.
For further details refer to CVE-2014-0160.
Latest code: HeartBleedActiveScanRule.java
Hidden File Finder
This scan rule checks for various web accessible files which may leak administrative, configuration, or credential information.
The original included set of payloads were based on Snallygaster by Hanno Böck.
Such payloads are verified by checking response code, and content. If the response code is 200 (Ok) then additional content checks are performed to increase alert confidence.
If the response code is 401 (Unauthorized) or 403 (Forbidden) or the content checks are un-successful then an alert is raised with lower confidence (at HIGH Threshold).
Note: If the Custom Payloads addon is installed you can add your own hidden file paths (payloads) in the Custom Payloads options panel.
For custom payloads only the response status code is checked. If there is a requirement to include a content check then it is also possible to add payloads to
the json/hidden_files.json
file in ZAP's user directory (in which case they will be treated as included payloads).
The following describes the fields of the JSON entries.
{
"path":"some/path/without/leading/slash.ext",
"content":["content you want to find in responses"],
"not_content":["content you do not want the response to have"],
"binary":"\\x01\\x00",
"links":["https://example.com/relevant/reference.html,"https://other.example.org/"],
"type":"short_identifier",
"source":"attribution_not_used_by_output_or_checks"
}
Details worth noting:
- The only field that is required is path.
- The fields content, not_content, and links can have multiple quoted, comma separated values (arrays of strings).
- Checks of binary content are based on starting position 0 (ex: startsWith not contains).
The following is an example JSON entry:
{
"path":"CVS/root",
"content":[":"],
"not_content":["<"],
"type":"cvs_dir",
"source":"snallygaster"
}
Latest code: HiddenFilesScanRule.java
Log4Shell (CVE-2021-44228 and CVE-2021-45046)
This rule attempts to discover the Log4Shell (CVE-2021-44228 and CVE-2021-45046) vulnerabilities.
It relies on the OAST add-on to generate out-of-band payloads and verify DNS interactions.
We recommend that this scan rule is used with header injection enabled for maximum coverage.
Latest code: Log4ShellScanRule.java
Padding Oracle
This rule attempts to manipulate the padding of encrypted strings to trigger an error response
indicating a likely padding oracle vulnerability.
Such a vulnerability can affect any application or framework that uses encryption improperly, such as
some versions of ASP.net, Java Server Faces, and Mono.
Latest code: PaddingOracleScanRule.java
Parameter Tampering
This rule submits requests with parameter values known to cause errors to be displayed to the user if handled improperly. Responses are checked to make sure that they return
a server error status code, then compared with a normal HTTP response to make sure it does not raise an alert if the bad parameter has no effect on output. Finally, the content
of the response body is compared against various patterns that may be found in Java servlet, Microsoft VBScript, OLE DB, JET, PHP and Tomcat errors. If a match is found, an alert is raised and
the scanner returns immediately.
Latest code: ParameterTamperScanRule.java
Path Traversal
This rule attempts to access files and directories outside of the web document root by constructing various combinations of pathname prefixes
and local file targets for Windows and *NIX systems as well as Java servlets. If the body of the response matches a pattern corresponding to the
current target file an alert is raised and the scanner returns immediately. If none of the common local file targets succeed, path traversal is
attempted using the filename in the URL. As long as submitting an arbitrary filename does not return an OK status code but the real filename does, an alert is raised
and the scanner returns immediately.
Note: This scan rule has one check that is excluded at High Alert Threshold.
Latest code: PathTraversalScanRule.java
Remote Code Execution - CVE-2012-1823
Detect CVE-2012-1823 to perform Remote Code Execution on a PHP-CGI based web server.
Latest code: RemoteCodeExecutionCve20121823ScanRule.java
Remote File Include
This rule submits a series of requests with external URLs as parameter values and looks for a match between the response body and the title of the page
hosted at those URLs. If there is a match between the expected string and the response body, and the header returned a status code of 200, an alert is raised and the scanner
returns immediately.
Latest code: RemoteFileIncludeScanRule.java
Server Side Include
This rule checks to see what OS the server is running on, then sends requests with a corresponding HTML SSI directive as a parameter value. If the response body matches
a pattern indicating the SSI was successful, an alert is raised and the scanner returns immediately.
Latest code: ServerSideIncludeScanRule.java
Server Side Template Injection
This rule attempts to detect situations in which user input might be interpreted as part of the template and processed on the server, versus the user input simply being used as an argument to the template/engine.
Latest code: SstiScanRule.java
Server Side Template Injection (Blind)
This rule goes one step further than the SSTI scan rule and attempts to find places where the impact of the user input is not immediately obvious, such as when used by an admin panel, report output, invoice, etc.
Latest code: SstiBlindScanRule.java
Source Code Disclosure - CVE-2012-1823
Exploit CVE-2012-1823 to disclose server-side PHP source code on a PHP-CGI based web server.
Only analyzes responses that are text based (HTML, JSON, XML, etc.), in order to avoid false positives which may occur with image or other binary content.
JavaScript responses are only analyzed when a LOW alert threshold is set.
Latest code: SourceCodeDisclosureCve20121823ScanRule.java
Source Code Disclosure - /WEB-INF
Exploit the presence of an unprotected /WEB-INF folder to download and decompile Java classes, to disclose Java source code.
Latest code: SourceCodeDisclosureWebInfScanRule.java
Spring4Shell (CVE-2022-22965)
This rule attempts to discover the Spring4Shell (CVE-2022-22965 vulnerability.
It uses a payload of class.module.classLoader.DefaultAssertionStatus=nonsense
on all nodes and raises an alert if this payload results in a 400 response.
It will not raise an alert if a similar but safe payload also results in a 400 response.
Latest code: Spring4ShellScanRule.java
SQL Injection
This scanner scans for SQL Injection vulnerabilities in an RDBMS-independent fashion,
by attacking url parameters and form parameters with fragments of valid and invalid SQL syntax, using error based,
boolean based, Union based, and stacked query SQL Injection techniques.
This scanner may be able to fingerprint the RDBMS if the application throws a known RDBMS specific SQL error message.
This scanner does not exploit any RDBMS specific techniques, and so is the best SQL injection scanner to use as a starting point.
Latest code: SqlInjectionScanRule.java
SQL Injection - Hypersonic (Time Based)
This rule uses Hypersonic-specific SQL syntax to attempt to induce time delays in the SQL statement called by the page.
If the unmodified query is not affected by a time delay, and the modified query's delay can be controlled,
it is indicative of a time-based SQL Injection vulnerability in a Hypersonic SQL database.
This rule is time sensitive, and should only be used in an attempt to find stubborn and un-obvious SQL
injection vulnerabilities in a suspected Hypersonic database.
For this reason, the number of active scan threads should be set to the minimum when using this scan rule,
to minimise load on the web server, application server, and database, in order to avoid false positives caused by
load delays rather than by SQL injection delays.
The rule tests only for time-based SQL injection vulnerabilities.
Post 2.5.0 you can change the length of time used for the attack by changing the rules.common.sleep
parameter via the Options 'Rule configuration' panel.
Latest code: SqlInjectionHypersonicScanRule.java
SQL Injection - MsSQL
This active scan rule attempts to inject MsSQL specific sleep commands into parameter values and analyzes the server's response time to see if the sleep is effectively executed on the server (indicating a successful SQL injection attack).
Latest code: SqlInjectionMsSqlScanRule.java
SQL Injection - MySQL (Time Based)
This rule uses MySQL-specific SQL syntax to attempt to induce time delays in the SQL statement called by the page.
If the unmodified query is not affected by a time delay, and the modified query's delay can be controlled,
it is indicative of a time-based SQL Injection vulnerability in a MySQL database.
This rule is time sensitive, and should only be used in an attempt to find stubborn and un-obvious SQL
injection vulnerabilities in a suspected MySQL database.
For this reason, the number of active scan threads should be set to the minimum when using this scan rule,
to minimise load on the web server, application server, and database, in order to avoid false positives caused by
load delays rather than by SQL injection delays.
The rule tests only for time-based SQL injection vulnerabilities.
Post 2.5.0 you can change the length of time used for the attack by changing the rules.common.sleep
parameter via the Options 'Rule configuration' panel.
Latest code: SqlInjectionMySqlScanRule.java
SQL Injection - Oracle (Time Based)
This scan rule uses Oracle-specific SQL syntax to attempt to induce time delays in the SQL statement called by the page.
If the unmodified query is not affected by a time delay, and the modified query's delay can be controlled,
it is indicative of a time-based SQL Injection vulnerability in a Oracle SQL database.
This rule is time sensitive, and should only be used in an attempt to find stubborn and un-obvious SQL
injection vulnerabilities in a suspected Oracle database.
For this reason, the number of active scan threads should be set to the minimum when using this rule,
to minimise load on the web server, application server, and database, in order to avoid false positives caused by
load delays rather than by SQL injection delays.
The scan rule tests only for time-based SQL injection vulnerabilities.
Note that this rule does not currently allow you to change the length of time used for the timing attacks due to the way the delay is caused.
Latest code: SqlInjectionOracleScanRule.java
SQL Injection - PostgreSQL (Time Based)
This rule uses PostgreSQL-specific SQL syntax to attempt to induce time delays in the SQL statement called by the page.
If the unmodified query is not affected by a time delay, and the modified query's delay can be controlled,
it is indicative of a time-based SQL Injection vulnerability in a PostgreSQL database.
This scan rule is time sensitive, and should only be used in an attempt to find stubborn and un-obvious SQL
injection vulnerabilities in a suspected PostgreSQL database.
For this reason, the number of active scan threads should be set to the minimum when using this scan rule,
to minimise load on the web server, application server, and database, in order to avoid false positives caused by
load delays rather than by SQL injection delays.
The rule tests only for time-based SQL injection vulnerabilities.
Post 2.5.0 you can change the length of time used for the attack by changing the rules.common.sleep
parameter via the Options 'Rule configuration' panel.
Latest code: SqlInjectionPostgreScanRule.java
SQL Injection - SQLite
This active scan rule attempts to inject SQLite specific commands into parameter values and analyzes the server's responses to see if the commands were effectively executed on the server (indicating a successful SQL injection attack).
Latest code: SqlInjectionSqLiteScanRule.java
Trace.axd Information Leak
Tests to see if Trace Viewer (trace.axd) is available. Although this component is convenient for developers and
other stakeholders it can leak a significant amount of information which a security analyst or malicious individual
may be interested in.
The trace.axd scan rule targets Microsoft based technologies: IIS, Windows, ASP, and MSSQL.
Latest code: TraceAxdScanRule.java
User Agent Fuzzer
This active scan rule checks for differences in response based on fuzzed User Agent (eg. mobile sites, access as a Search Engine Crawler). The rule compares the response statuscode and the hashcode of the response body with the original response.
Note: If the Custom Payloads addon is installed you can add your own User Agent strings (payloads) in the Custom Payloads options panel.
Latest code: UserAgentScanRule.java
XPath Injection
As described by OWASP: "XPath Injection attacks occur when a web site uses user-supplied information to
construct an XPath query for XML data. By sending intentionally malformed information into the web site,
an attacker can find out how the XML data is structured, or access data that he may not normally have access
to. He may even be able to elevate his privileges on the web site if the XML data is being used for
authentication (such as an XML based user file) or authorization." This rule attempts to identify such
weaknesses.
Latest code: XpathInjectionScanRule.java
XSLT Injection
This scan rule checks for certain responses induced by injecting XSL transformations.
It attempts to obtain those responses with payloads which may induce: error responses, disclosure of library/framework vendor name, remote port scanning, or command execution.
Latest code: XsltInjectionScanRule.java
XXE
This component attempts to identify applications which are subject to XML eXternal Entity (XXE) attacks.
Applications which parse XML input may be subject to XXE when weakly or poorly configured parsers
handle XML input containing reference to an external entity such as a local file, HTTP requests to
internal or tertiary systems, etc. The number of tags which are tested individually depends on the strength of the rule.
This scan rule will only run if the OAST add-on is installed and available.
It is also recommended that you test that the Callbacks service in the OAST add-on is correctly configured for your target site.
If the target system cannot connect to the Callback Address then some XXE vulnerabilities will not be detected.
Latest code: XxeScanRule.java


A while back, I explained how I use Hazel to automatically file important statements into Evernote. The strategy I use relies on statement PDFs (which are automatically downloaded from my bank, apartment complex, etc.) containing URLs that describe where they came from; with this information, Hazel can automatically figure out which of my many rules to apply.
Recently, I came across a scenario that my current setup didn’t cover: what should happen to statements that are manually saved as PDFs (and thus, don’t carry any information about the URL they were downloaded from) and have generic filenames?
TL;DR
Hazel can be used to file documents, even when they don’t carry specific metadata.
The Process
Here’s an example: when I give money to my church online, they display an HTML statement of the transaction and tell me to save a copy for my own records. Given that I’m on OS X, I usually do this by going to File >> Print
in my browser and choosing the option to save the page as a PDF. By default, the PDF inherits the filename of the HTML page (Receipt
) and because I manually “printed” the PDF, it doesn’t contain a URL that Hazel can latch onto.
My first thought was to make use of the church’s website URL inside the PDF. Hazel comes with a Contents
condition – perhaps that could be used to scan the contents of the PDF? Alas, it didn’t seem to work.
So, I went down the route of using some sort of command-line utility to convert the PDF to text (which I could scan easily); I eventually came to the following strategy, which works nicely.
Step #1. Download Poppler
Assuming you are using Homebrew, this is trivial:
$ brew install poppler
Alternatively, you can download the release itself from the Poppler website.
Poppler is a “PDF rendering library based on the xpdf-3.0 code base.” Of particular interest in this scenario is its inclusion of the pdftotext
command-line tool.
Step #2. Test a Sample PDF
It’s a good idea to make sure that Poppler is functioning correctly on your system. Open Terminal and navigate to a directory with a PDF that you want to scan; once there, run this command:
$ pdftotext /path/to/test.pdf - | grep "text to search for"
(Obviously, make sure you replace /path/to/test.pdf
and text to search for
with values that actually make sense.)
This command performs two functions:
- Uses
pdftotext
to convert a PDF into text and send its output to Terminal’s standard output, or STDOUT (as denoted by the-
at the end of the command). - Uses
grep
to search for specific text within the overall output text.
Assuming it works (and assuming the PDF has the text you are searching for), you should see the relevant text appear in the terminal.
Step #3. Create the Hazel Rule
Assuming everything has gone well thus far, it’s time to create the Hazel rule itself. Mine looks like this:
The rule makes use of two conditions:
Passes shell script
. This condition has the shell script from step #2 above. Assuming the PDF has the text that is being searched for, this condition will pass.Extension
. This condition ensures that we are only scanning PDFs.
Upon finding a PDF that fits the necessary criteria, the same 3 actions as described in my earlier guide are used:
Rename
. This action renames the file to one that meets my preferences: `YYYY-MM-DD – (Name of the Entity) – (Name of the Document)`. Note that other than the date, everything else is hardcoded.Run Applescript
. Runs an Applescript that saves the PDF into Evernote.Move
. This action deletes the original PDF from my filesystem.
In case you need it once more, here’s the Applescript that I use to save the PDF into Evernote:
Overall, this is working wonderfully so far. I may consider adding some extra conditions to make sure that skipped PDFs aren’t matched by Hazel over and over, but for now, I’m in business.


Year:
Month:
0
Day:
0
Stock :
256,468,126
Stock Per Second:
16.9
You make coffee for your teammates everyday
Copyright © 2013 Origame LLC., All Rights Reserved.
Stock + 100000
Reset Game State
Save Game State


Python Twitter Bot Using Google Cloud Shell
October 5, 2015
For this post, I discuss how to use a twitter bot with Google Cloud Shell to tweet the Eskom load shedding status. The source code for the Eskom Load Shedding Twitter bot is hosted here on Github.
Google Cloud Shell is a Debian-based shell running on the Google Cloud Platform. It runs on an f1-micro machine that includes Bash, Vim, Python 2.7, Node.js, Java SDK 1.7 and 1.8. The best part is that the use of Google Cloud Shell is completely free through the end of 2015, as the Cloud Shell is presently a Beta release.
To get started with the Google Cloud Shell, open up the Google Developers Console and click on the Activate Google Cloud Shell button.
If this is your first time opening the Google Cloud Shell, you will be prompted with some information about Google Cloud Shell as well as the Terms of Service.
We’ll start by creating a twitterBot directory, and then opening the newly created twitterBot Directory. If you’re familiar with a shell environment, you’ll already feel right at home.
The Esksom Load Shedding Twitter Bot uses the Twython Python library to tweet. While Google Cloud Shell supports Python 2.7, it doesn’t natively include Twython. Luckily, Google Cloud Shell allows for the sudo command to install software. We can install twython using pip by running sudo pip install twython in the Cloud Shell.
Google Cloud shell supports copy/paste functionally with the desktop environment. Using vim and copy/paste we can easily create the Python Twitter bot in the google shell. We’ll start with the main python script. Running vim checkStatusAndTweetNoProxy.py creates the Python file and opens the vim editor.
If you are unfamiliar with vim, you’ll need to enter :i to enter insert mode so that you can paste the script into the editor. It can be noticed that I’ve changed the Twitter authentication details to my own, you will need to do the same. To exit insert mode on vim you’ll need to press esc. In addition, to save in vim enter :wq!.
Alternatively the Google Cloud Platform has other methods for accessing the cloud storage used by the Cloud Shell.
We’ll then create the load shedding status file by running vim loadSheddingStatus.txt.
I know the load shedding status is Stage-0 right now. So I’ll simply insert a 0 into the text file, because I don’t want the bot to tweet until the load shedding stage has changed.
We need to create the shell script that loops through to execute the Python file. Run vim checkStatusAndTweet.sh to create the shell file.
We’ll create a loop that runs the python script every five minutes, similar to the script found here.
Now everything is in place to run the Twitter Bot on Google Cloud Shell for the first time! Simply execute sh checkStatusAndTweet.sh to run the Python Twitter bot on the Google Cloud Shell. We’ll notice a new printout every five minutes.
Google Cloud Shell appears to timeout after one hour of inactivity, although a warning message pops up that you can click to extend the session.
While the files will remain from our previous Cloud Shell sessions, the software we installed will not. This means that you will have to install Twython every Cloud Shell session. If installing the software you need for every instance of Cloud Shell is a problem, you could setup a script to automate your software installations. For our case, we could incorporate pip install twython into checkStatusAndTweet.sh.


Cheerleader who buried secret baby after prom 'wishes she died instead'
Skylar Richardson, from Ohio, in the US gave birth to her stillborn daughter the day after she went to prom - prompting her to bury the baby in a shallow grave in the back garden
by Milo Boyd, https://www.mirror.co.uk/authors/milo-boyd/A teenager who buried her stillborn baby in a shallow grave wishes she had died in her place.
Skylar Richardson, from Ohio, in the US, was arrested after police discovered charred remains of a newborn in a shallow grave.
Her doctor had tipped off police, who brought the then 18-year-old in for questioning before charging her with aggravated murder.
At the end of a lengthy trial a jury deliberated for four hours and found her not guilty of smashing her newborn baby's head with a stone.
They concluded the child had been stillborn.
Giving her version of events for the first time, Skylar, now 20, told how her mum Kim took her to her first gynecologist appointment two weeks before senior prom.

There the teenager, who had been preparing to go to the University of Cincinnati in the autumn, was told she was 32 weeks pregnant.
As Skylar drove home with her mum she declined to tell her about the unborn baby.
“I wish I would have done it differently, I’m plagued by guilt every day for not telling someone," she told Cosmo.
She decided to open up about the pregnancy after prom.
A photo taken on the night of the dance shows Skylar and Brandon posing outside Richardson's house.
A small bump is visible beneath the young woman's red dress.
At the time her friends and family assumed she'd finally overcome her long terms issues with eating disorders.
Skylar didn't drink or stay long at the prom, Brandon taking her home before the dance had finished.
The following day she suffered from stomach cramps so bad she almost collapsed when she tried to stand up.
Not realising she was in labour, Skylar went to the bathroom and sat on the toilet with the sensation that "something needed to come out."
The baby girl, shocking white and wet with blood, fell into the bowl.
She lifted the child from the water and realised she was dead.
Her umbilical chord wasn't attached and the baby never moved or opened her eyes.
“I hoped she would start coming alive,” she later told police.
Covered in blood and slumped in the bathtub, Skylar felt unable to tell her parents or younger brother Jackson, 15, what had happened.
So she decided to do the only thing she could think of - bury the baby.
Skylar took her mother's garden trowel and dug a shallow grave in the backyard.
While she prepared the baby's final resting place she decided to give her a name - Annabelle.
Skylar unwrapped the towel swaddling baby Annabelle, placed her in the ground and covered her with a layer of dirt.

It wasn't until July that Skylar spoke about the baby again.
On a trip to the doctors to get birth control a different medic, tipped off by the first, asked her about the pregnancy.
The teenager broke down, sobbing so loudly that people outside the consultation room could hear her.
She told the doctors everything, believing because she had not harmed the baby there would be no recriminations.
The doctor alerted the state authorities who called Skylar into a police station two days later.

Regardless, Skylar was charged with aggravated murder, involuntary manslaughter, child endangerment, tampering with evidence and gross abuse of a corpse.
Two years later, when Skylar sat in front of the courtroom, she weighed less than 90pounds - the stress of the events causing her eating disorder to worsen.
For two years she had been under house arrest and then having to abide by a strict curfew, left to hear about the fun her friends were having at college from her childhood bedroom.
The ordeal has taken a toll on Skylar.
She said: "Every night, I would lie down and wish that I could have died in place of Annabelle.”
The trial, during which Skylar was accused of burning the baby, proved no better for her mental health.

The idea that Skylar had acted selfishly and had other choices, as suggested by Tracy Johnson - whose son Trey turned out to be the biological father - came as a further blow.
After turning down a plea bargain in which the most serious charge of aggravated murder would be dropped and a possible life sentence reduced to 15 years, Skylar was found not guilty of the killing.
The one charge she was convicted of - abuse of a corpse - saw her sentenced to three years' probation.


12 September 2002
Disease Outbreak Reported
As of 11 September 2002 the
National Microbiology Laboratory in Winnipeg has confirmed West Nile virus
infection in a person living in the province of Ontario. This is the first
confirmed case of human disease reported from Canada. Although West Nile virus
is circulating in Ontario and other provinces, this case is possibly related to
travel in areas of the United States.


| 012:018 Khan | : |
And they brought his shirt stained with false blood. He said: "Nay, but your ownselves have made up a tale. So (for me) patience is most fitting. And it is Allah (Alone) Whose help can be sought against that which you assert." |
| 012:018 Maulana | : |
And they came with false blood on his shirt. He said: Nay, your souls have made a matter light for you. So patience is goodly. And Allah is He Whose help is sought against what you describe. |
| 012:018 Pickthal | : |
And they came with false blood on his shirt. He said: Nay, but your minds have beguiled you into something. (My course is) comely patience. And Allah it is Whose help is to be sought in that (predicament) which ye describe. |
| 012:018 Rashad | : |
They produced his shirt with fake blood on it. He said, "Indeed, you have conspired with each other to commit a certain scheme. All I can do is resort to a quiet patience. May GOD help me in the face of your conspiracy." |
| 012:018 Sarwar | : |
They presented him with a shirt stained with false blood. Jacob said, "Your souls have tempted you in this matter. Let us be patient and beg assistance from God if what you say is true." |
| 012:018 Shakir | : |
And they brought his shirt with false blood upon it. He said: Nay, your souls have made the matter light for you, but patience is good and Allah is He Whose help is sought for against what you describe. |
| 012:018 Sherali | : |
And they came with false blood on his shirt. He said, 'This what you say is not true but your souls have made a great thing appear light in your eyes. So comely patience is now called for. And it is ALLAH alone Whose help is sought against what you assert.' |
| 012:018 Yusufali | : |
They stained his shirt with false blood. He said: "Nay, but your minds have made up a tale (that may pass) with you, (for me) patience is most fitting: Against that which ye assert, it is Allah (alone) Whose help can be sought".. |
Concepts/Themes Covered: أركان الإسلام > التوحيد > توحيد الله تعالي > صفات الله تعالى > المستعان Pillars of Islam> Islamic> Oneness of Allah> His Glory's Characteristics> Whose Help Can Be Sought
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


Fcuksense
artificial intelligence driving
results for the travel industry
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Here are images of the first page of sheet music for the track Flint (For the Unemployed and Underpaid). The first represents the version of the track as notated for this project, the second shows this track after going through transformations. The track was first transformed to WAV, then opened in SonicVisualiser and transformed into MIDI, which was then reopened in the notation software MuseScore. The resultant track sounds somewhat similar to the original, perhaps due to the simplicity of the track. You can view both below - their notations are noticeably different with changes to time signature and the loss of the opening text and lyrics.


Concurrency.setpriority
Syntax
setpriority (p : nat)
Description
The setpriority procedure is used to set the priority of a process in a concurrent program. This priority cannot be counted on to guarantee critical access to shared variables. A smaller value of p means increased speed. The argument to setpriority may be limited to the range 0 to
2**15 - 1.
Status
Part of the language and only conceptually part of the Concurrency unit.
This means that you can only call the function by calling setpriority, not by calling Concurrency.setpriority.
See also
getpriority, fork and monitor.


Partitive Subject Relation Defining Diagram
"Inter Subject Relationship" where the subordinate "Subject" does, has or will form part of the superordinate such that the existence of the subordinate "Subject" is not destroyed by the relation.
Associations To:
| Zero, One or Many |
inclusion of |
Only One |
Subject |
| Zero, One or Many |
part of |
Only One |
Subject |
Supertypes:
Inter Subject Relationship
Subtype Partitions:
PSR/Exclusivity
Membership Subject Relation
Component Subject Relation


What?
Plain Pasta is tiny menu bar app that filters out any styled text on your clipboard, leaving just plain text in its place.
Essentially, this makes Paste and Match Style the default behavior when copy/pasting.
Demonstration
Without Plain Pasta
With Plain Pasta
Why?
I made this app because I rarely want styling to be copied to my clipboard. When I copy text, all I want is the text.
Who?
Plain Pasta was developed by Isaac Halvorson, a software developer from Minneapolis, MN.
Where?
Download the most recent version of Plain Pasta from the App Store. The code is open source, and available on GitHub.
When?
Plain Pasta is there for you whenever you need it.


3 references to GetOperationAgent
Microsoft.Management.Infrastructure.CimCmdlets (3)
SetCimInstanceCommand.cs (3)
305
CimSetCimInstance cimSetCimInstance = this.
GetOperationAgent
() ?? CreateOperationAgent();
317
CimSetCimInstance cimSetCimInstance = this.
GetOperationAgent
();
327
CimSetCimInstance cimSetCimInstance = this.
GetOperationAgent
();


What is a Curiosity?
Every night our algorithms look at your
data to find possible relationships
between your tags. You can sort these
curiosities by rating them to tell us
whether you think the algorithms have
come up with something meaningful to
you ("SIGNAL") or something you think
is not meaningful or interesting ("NOISE").


Electronics
Accessories
Auto Electronics
Cameras & Camcorders
Cell Phones & Services
Computers
GPS & Navigation
Headphones
Home Audio & Theater
iPad, Tablets & eReaders
iPods & MP3 Players
TV & Video
Video Games
Cell Phones
Accessories
Contract Phones & Plans
No-Contract Phones & Plans
Straight Talk
Unlocked Phones
See all
Computers
Desktops
Laptops
Networking
Printers & Supplies
Software
Tablets
See all
Office
Business Office Furniture
Home Office Furniture
Office Supplies
Phones & Accessories
School Supplies
See all
Electronics Learning Center
Smart TVs Explained
Tablet or Laptop?
Compare Cell Phone Carriers
LED or LCD TV?
Choosing Headphones


{% extends 'vesper/base.html' %} {% block head %}
Records audio at 48 kHz from the selected audio input device.
The devices listed below are those that your browser indicates it can record from at 48 kHz. If no devices are listed, it is because your browser indicates that it cannot record from any available device at 48 kHz.
{% endblock main %}


An example browser client based on FilePond for uploading files to S3.
The form does not have a URL configured for POST-ing, you will receive an error when submitting.


Player's
House's
Back
Next
♥
♠
♣
♦
A
2
3
4
5
6
7
8
9
10
J
Q
K
Here shows the cards in player Hand
House hand:
Shows probability
Add


There are many breaking changes in the API between v1 and v2 of the Navigation Service. The API documentation outlines the full v2 API, and it's best to consult this because there are very few similarities.


IE7 { css2: auto; }
version 2.1 beta4
The selectors and properties below should all work according to the
W3C specifications.
IE7.js
CSS Selectors
CSS Properties
| Property | Test |
| background-attachment | support fixed positioning | html |
| background-image | PNG
alpha transparency (IE5.5+) | html |
| bottom | height implied if top is
supplied | html |
| cursor | support pointer for IE5.x | html |
| display | convert list-item to block for IE5.x | |
| font-size | fix named font sizes (IE5.x) | html |
| margin | support auto (IE5.x) | html |
| max-height | | html |
| max-width | | html |
| min-height | implemented for IE5 | html |
| min-width | | html |
| overflow | support overflow:visible | html |
| position | support fixed positioning | html |
| right | width implied if left is
supplied | html |
HTML
| Element | Test |
| abbr | IE5/6 bugs fixed | html |
| img | PNG alpha
transparency (IE5.5+) | html |
| label | bind to the first child control | html |
IE8.js
CSS Selectors
CSS Properties
| Property | Test |
| border-spacing | HTML tables only | html |
| box-sizing | content-box (assumed) | html |
| content | Supports the use of attr() and
url() | html |
| property: inherit | Support for inherited property values | html |
HTML
| Element | Test |
| button[type=submit] | value submitted rather than
innerText | html |
| form | only submit successful
controls | html |
| object | improved support for type=image/* | html |
IE9.js
CSS Selectors
CSS Properties
| Property | Test |
| opacity | IE5.5+ | html |
HTML
| Element | Test |
| article, aside, audio, canvas, details, figcaption, figure, footer,
header, hgroup, mark, menu, meter, nav, output, progress, section, summary,
time, video | Only rendering support and basic style are provided | html |
Other Bug Fixes
*These fixes are not in the standard IE7 library. They are included in a separate
module ie7-squish.js
.


Abstract
Defining the transcriptional dynamics of a temporal process such as cell differentiation is challenging owing to the high variability in gene expression between individual cells. Time-series gene expression analyses of bulk cells have difficulty distinguishing early and late phases of a transcriptional cascade or identifying rare subpopulations of cells, and single-cell proteomic methods rely on a priori knowledge of key distinguishing markers. Here we describe Monocle, an unsupervised algorithm that increases the temporal resolution of transcriptome dynamics using single-cell RNA-Seq data collected at multiple time points. Applied to the differentiation of primary human myoblasts, Monocle revealed switch-like changes in expression of key regulatory factors, sequential waves of gene regulation, and expression of regulators that were not known to act in differentiation. We validated some of these predicted regulators in a loss-of function screen. Monocle can in principle be used to recover single-cell gene expression kinetics from a wide array of cellular processes, including differentiation, proliferation and oncogenic transformation


HyperText Markup Language (HTML) can be broken down into HyperText, which is what grants access to other texts through links, and Markup which outlines the basic structure and appearance of raw text. What this means is that HTML describes and defines the content and basic structure of the website. It does this through a means of special tags or codes which tell the browser what to do. HTML is the bare basics of a website.
A Cascading Style Sheet is the website’s accessories. It’s responsible for outlining the colours, font and positioning of the content on a website. It adds some style and structure to the content. In order to make use of the CSS capabilities it needs to be linked within the HTML content so that style can be added to the website. CSS will tell the browser how to display the existing HTML.
JavaScript controls the behaviour of the website. It’s important to note that JavaScript and Java are two different things. JavaScript was designed to manipulate web pages and it is used to create interactive functionality. Without JavaScript a website will still be functional, but in a limited way. JavaScript is what animates HTML and CSS, and it’s what brings your website to life.
click here to watch how HTML,CSS and JS play.The control flow is the order in which the computer executes statements in a script. Code is run in order from the first line in the file to the last line, unless the computer runs across the (extremely frequent) structures that change the control flow, such as conditionals and loops. For example, imagine a script used to validate user data from a webpage form. The script submits validated data, but if the user, say, leaves a required field empty, the script prompts them to fill it in. To do this, the script uses a conditional structure or if/else, so that different code executes depending on whether the form is complete or not.
In Javascript, there are only 6 data types defined – the primitives (boolean, number, string, null, undefined) and object (the only reference type). Arrays do not belong to this list because they are objects as well. PLEASE WATCH THE VIDEO LINKED HE EXPLAINS IT ALOT BETTER.
click here to watch Array.The Document Object Model (DOM) is a programming interface for HTML and XML documents. It represents the page so that programs can change the document structure, style, and content. The DOM represents the document as nodes and objects. That way, programming languages can connect to the page. A Web page is a document. This document can be either displayed in the browser window or as the HTML source. But it is the same document in both cases. The Document Object Model (DOM) represents that same document so it can be manipulated. The DOM is an object-oriented representation of the web page, which can be modified with a scripting language such as JavaScript.


Yesterday I noticed a tweet from Derek Abdine about the Rapid7 OpenData collections which are free to access datasets of various types, so thought I’d have a quick look at something I’ve been meaning to for a while, information disclosed via SSL certificates in Internet facing Kubernetes clusters.
Background
The Kubernetes API server (which generally runs on 443/TCP, 6443/TCP or 8443/TCP) is used to communicate with external and internal cluster components. As such it tends to have CN or SAN fields which include information relating to the cluster and it’s configuration. From a security testers point of view it can be handy, as it can let you know things like valid cluster internal IP addresses. Also the presence of certain specific IP addresses can provide information about the cluster.
Process
After signing up for Open Data (watch it does take a couple of hours for the approval) I was able to download a SSL certificate dataset from the 19th of June 2018 which covered port 443 available here.
The file has 1187095 certificates, so a reasonable sample. My approach was to just parse the subjectAltName certificate field for “kubernetes” as in most cases things like kubernetes.svc will apear in every clusters API server certificate.
Then I just spat out some files with things like DNS names and IP addresses from the SAN fields to see what showed up.
Results
There were 13271 certificates which matched on kubernetes, so a fair number of public facing clusters exposing their API port. This isn’t indicative of any particular security problem, however it’s interesting that people are directly exposing clusters, rather than hiding them behind a VPN or other form of security appliance/device. The potential risk here is that a mistake in configuration on the API server could have bad consequences and as we’ve seen attackers are looking for this sort of thing.
One thing that was notable was the quantity of internal IP address leakage that you can get from these certificates. There were a couple of thousand with a SAN of “<IP_ADDRESS>” which seemed to be the most popular IP address assigned. This kind of information can be useful for attackers who get an SSRF vulnerability in a cluster application. When you’re exploiting that kind of issue, part of the problem is guessing valid Internal IP address ranges to probe for unprotected services, so having a certificate give you starting points is very useful.
Another interesting point amongst the IP address information was the prevalance of the IP address <IP_ADDRESS> with 1005 of our 13271 certificates having that in their SAN fields. I’ve noticed in the past that this is indicative of the weave network plugin, so again possibly interesting information for attackers as it gives an idea of the software the cluster is running.
Turning to the DNS names extracted, it was easy to see that almost every cluster noted had a SAN of “kubernetes.default” listed, not a surprise as this is a default service name in Kubernetes clusters.
Past this it was interesting to note how many clusters included strings like “dev” and “test” and “internal” in DNS names, indicating that the clusters might not be intended for general use.
Conclusion & Data
It’s interesting (well for a certain value of interesting) to see what can be derived easily from public data sets, and with this kind of information it could also be interesting to look at trends over time (e.g. what the rate of growth in Kubernetes clusters is). It’s definitely very nice of Rapid7 to have made this data available for free, a good resource to go poking around in, if you’re interested in this kind of thing.
I’ve uploaded the script and analyzed data to github, the raw data is available on Rapid7’s site.


WITNESS LIST
Finance
February 25, 2019 10:00 AM
FOR:
Caldwell, Virginia Classroom Teacher (Texas State Teachers Assn), Pflugerville
Crisp, Mary Educator (Self), Abilene, TX
Delgado, Jose A. CTE Teacher (Self), Del Rio
Disteldorf, Gina L Teacher (Self)
Dunlap, Traci Teacher (also providing written testimony) (Texas American Federation of
Teachers), ATX
Eckley, Marianne Kindergarten Teacher (Self), Carrollton, TX
Evans, Kally Teacher (Self), Willis, TX
Gray, Tonja Teacher/ State VP ATPE (also providing written testimony) (ATPE Association
of Texas Professional Educators), Abilene, TX
Hollingsworth, Jr., Lonnie attorney (also providing written testimony) (Texas Classroom
Teachers Association), Austin, TX
Ramirez, Cristina Elementary Administrator (Self)
Rich, Judy Speech-Language Pathologist (Texas Speech-Language-Hearing Assoc), Cedar
Park, TX
Rowe, Charlotte Teacher (Self), S.A, TX
AGAINST:
Hedtke, Amy Mom (Self)
ON:
Belew, Kara Senior Education Advisor (also providing written testimony) (Texas Public
Policy Foundation), Austin, TX
Colletti, Lori Speech-language Pathologist (Fort Worth ISD), FWTX
LaBoon, Jennifer Librarian (Texas Library Association), Austin, TX
Lambert, Nancy Jo School Librarian (Texas Library Association), Austin, TX
Lee, Tim Executive Director (Texas Retired Teachers Assn.)
Morath, Mike Commissioner of Education (also providing written testimony) (Texas
Education Agency), Austin, TX
Pritchard, Lesa Executive Director of School Counselors BISD (Texas School Counselor
Association), Boerne, TX
Rodriguez, Al Educator (also providing written testimony) (Texas Assoc. School Boards /
Elgin ISD), Elgin, TX
Rome, Christy Executive Director (Texas School Coalition), Austin, TX
Stevenson, Sara former Austin ISD Librarian (also providing written testimony) (Texas
school librarians), Austin, TX
Villanueva, Chandra Policy Analyst (Center For Public Policy Priorities), Austin
Registering, but not testifying:
FOR:
Bardwell, Charles (Self), Huffman, TX
Camp, Tracie Principal (Self), Crystal Beach, TX
Cromley, Dylan (Self; League of Women Voters of Texas), Austin, TX
Ener, Suellen Classroom Educator (Self), Beaumont, TX
Evans, Robert (Self), Willis, TX
WITNESS LIST
Finance
February 25, 2019 10:00 AM
Ewert, Cathy Teacher (Self; Atpe), Brady, TX
Fullen, Sarah (Self), Aubrey, TX
Garza, Amancio (Self), Edinburg, TX
Gygi, Tiffany (Self; Atpe), Watauga, TX
Hall, Gail Inclusion Teacher (Self; Association of Texas Professional Educators), Houston,
TX
Harris, Delaina (Self), Beaumont, TX
Ibarra-Abrego, Heriberto Bilingual Teacher (Self; ATPE), Cypress, TX
Lebold, Barbara (Self), Katy, TX
List, Amanda (ResponsiveEd), Austin, TX
Lozano, Elias (Self), Edinburg, TX
Mascolo, Louis Teacher (Self), Kingwood, TX
Mercado, Antonio A. Teacher (Self), Edinburg, TX
Mustain, Tesslyn Teacher (Self), Humble, TX
Nickell, Teresa (Self; ATPE), North Richland Hills, TX
Nishimura, Christine General Counsel (Texas Charter Schools Association), Austin, TX
Sanders (Self; AUbrey ISD), Aubrey, TX
Stark, Christina Librarian (Self; Association of Texas Professional Educators), Texas, TX
Stoebe, Stephanie Mrs. (Self), Round Rock, TX
Thomas, Judi (Self), Conroe, TX
Vazquez, Colleen (Self), Round Rock, TX
Welch, Ginny Teacher Carrollton-Farmers Branch ISD (ATPE Association of Texas
Professional Educators), Farmers Branch, TX
Willis, Stephanie (Self), Lawn, TX
Wolfrom, Sonia (Self), The Woodlands, TX, TX
AGAINST:
York, Jason (Self), Spring Branch, TX
ON:
Guthrie, Brian Executive Director (TRS), Austin
Herbold, Kenneth Staff Actuary (Pension Review Board), Austin, TX
MacLaurin, Andy Manager, LBB Public Education Team (LBB), Austin, TX
Terry, Mark Deputy Executive Director (Texas Elementary Principals and Supervisors
Association), Austin, TX
Providing written testimony:
FOR:
Bosse, Portia Director of Public Affairs (Texas state teachers association), Austin, TX
Friese, Jan Exec director (Tca), Austin, TX
ON:
Anderson, David (Arlington ISD Board of Trustees), Austin, TX
Beneski, Amy (Texas Association of School Administrators), Austin, TX
Brownson, Amanda (Texas Association of School Business. officials), Austin, TX
Grey, John Associate (Texas School Alliance), Austin, TX
Haenisch, Barry (Texas Association of Community Schools), Austin, TX
WITNESS LIST
Finance
February 25, 2019 10:00 AM
Popinski, Bob Director of Policy (Raise Your Hand Texas), Austin, TX