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Bac Lieu Province, around 100 km from the southernmost tip of Vietnam, is home to a popular bird sanctuary located in Hiep Thanh Commune of Bac Lieu Town. The sanctuary is one of the most attractive ecological tourist spots in the Mekong River Delta.
The Bac Lieu Bird Sanctuary is the vestige of a forest which ran along the East Sea coast and came into existence over a century ago. The sanctuary is just around five kilometers from the town center. It covers some 107 hectares and lies within the remaining 385 hectares of forest area. The sanctuary is now home to 46 bird species, 60 fish species, seven frog species, 10 species of mammals, eight reptile species, and 100 species of plants.
On the ground are a massive number of eggs, and in the air, you can spot some species with 2 m wing-spans.
Details
Quite pretty and with a good bit of naturalness, Son Tra Peninsula is a good place for visitors to Da Nang and get away for the day.
Son Tra Peninsula is 10km from the center of Da Nang City to the North-east and is 693m high above sea level. Son Tra Mountain can be seen from every places of the city. Son Tra looks like a mushroom of which cap is Son Tra Mountain and stalk is a beautiful sandy beach that affords an ideal area for bathing, playing sports, fishing and swimming.
With its sea-oriented appearance, Son Tra acts as a giant screen protecting Da Nang from storms and cyclones coming from the sea. Son Tra is put under the national protected forest regulation since it is a natural preservation area. The Peninsula is famous for its plentiful plants and fauna as well as the attractive scenery.
Details


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{% extends "front/base.html" %} {% block content %} You have been activated! Please confirm your account using the email you should just have received. {% endblock %}
Please confirm your account using the email you should just have received.


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{{ 'We\'re very sorry, but something went wrong and the page cannot be displayed due to a :start messy error:end.'|_({start: '', end: ''}) }}
{{ 'Don\'t worry, our specially programmed robotic workers have been deployed to clean things up.'|_ }}
{{ 'Error code: :error_code'|_({ error_code: 500 }) }}


Janet Morris
I started my own business at 23, here's how I did it. The rest of my story would go here. The rest of my story would go here. The rest of my story would go here. The rest of my story would go here. The rest of my story would go here. The rest of my story would go here. The rest of my story would go here. The rest of my story would go here. The rest of my story would go here. The rest of my story would go here. The rest of my story would go here. The rest of my story would go here.


competition in health care
Competition In Health Care: It Takes Systems To Pursue Quality And ...
Health Reform; Insurance - Employer-Based System; Managed Care; Managed Care - Consumers; Managed Competition; Business Of Health; Health Spending .
http://content.healthaffairs.org/cgi/reprint/hlthaff.w5.420v1
How provider competition can improve health care delivery ...
The extent to which competition among providers can increase health care quality and control costs may depend on the clinical setting. The strongest impact .
http://www.mckinseyquarterly.com/When_and_how_provider_competition_can_improve_health_care_delivery_2690
When and how provider competition can improve healthcare
The extent to which competition among providers can increase health care quality and control costs may depend on the clinical setting. The strongest impact .
http://www.mckinsey.com/~/media/mckinsey/dotcom/client_service/Healthcare%20Systems%20and%20Services/Health%20International/HI10_competition_improve_healthcare_delivery.ashx
Things You'll Need
- Certified copies of public records evidence in your case
Instructions
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1
Healthcare competition saves lives | vox
Aug 23, 2010 . Governments faced with rising costs and growing demand are constantly searching for methods of delivering higher productivity in healthcare.
http://www.voxeu.org/article/healthcare-competition-saves-livesHealth Care Competition - Center for American Progress
Center for American Progress | Health Care Competition. Health Care Competition. Insurance Market Domination Leads to Fewer Choices. Ben Furnas and .
http://www.americanprogress.org/wp-content/uploads/issues/2009/06/pdf/health_competitiveness.pdf -
2
Richard J. Stull Student Essay Competition in Healthcare Management
The entry deadline for this year has passed. Try again next fall! The American College of Healthcare Executives is pleased to sponsor the annual Richard J. Stull .
http://www.ache.org/Faculty_Students/student_essay.cfmCompetition and Health Care - Department of Justice
Mar 19, 2012 . Competition and Health Care: A Prescription for High-Quality, Affordable Care. SHARIS A. POZEN. Acting Assistant Attorney General. Antitrust .
http://www.justice.gov/atr/public/speeches/281236.pdf -
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3
Competition in the Health Care Marketplace Home
Jul 8, 2009 . ompetition in health care markets benefits consumers because it helps contain costs, improve quality, and encourage innovation. The Federal .
http://www.ftc.gov/bc/healthcare/Hospitals, Healthcare, and Competition - Economic Intelligence ...
Mar 2, 2012 . A healthy dose of competition in healthcare would bring about lower prices and improved quality.
http://www.usnews.com/opinion/blogs/economic-intelligence/2012/03/02/hospitals-healthcare-and-competition -
4
How a Competitive Health Care Model Falls Short - Julie Appleby ...
Sep 20, 2012 . The track record of "managed competition" shows it's not the panacea for health spending that its supporters -- Romney and Ryan among them .
http://www.theatlantic.com/health/archive/2012/09/how-a-competitive-health-care-model-falls-short/262625/
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References
Resources
- Photo Credit Justice image by MVit from unique printers cicero illinois


Cyprus rescues 120 Syrian migrants aboard boat
NICOSIA, Cyprus (AP) - Cyprus police say 120 Syrian migrants have been housed at a reception center after arriving from Turkey aboard a boat.
Police said Thursday that the 97 men, 20 children - including 14 unaccompanied minors - and three women told authorities they each paid people traffickers $4,000 (3,620 euros) for a spot on the boat.
Their vessel was spotted Wednesday sailing off Cape Greco on the southeastern tip of the island nation and was escorted to an area harbor.
The migrants said they set sail from Turkey’s southern port city of Mersin after crossing the Syrian-Turkish border on separate dates.
Cyprus officials say a migrant influx is taxing the small country’s ability to host so many arrivals and is asking fellow European Union member states to share the burden.
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My Health Story
Welcome to My Health Story, where all of your medical information is safely stored in one place. You'll never miss your next appointment or worry about not remembering what prescriptions you're currently taking.
Here at My Health Story, we'll help you have all of your information readily available for your next appointment, whethere you're going to see your family doctor, a specialist, or an emergency room doctor.
When language barriers and literacy comes between the patients and provider, we step in to help provide a place for them to be able to share the information quickly.
My Health Story will help keep patients calm and have one less thing to worry about, as no shuffling of business cards or fumbling of medication bottles are required. This allows for quicker assessment, treatment, and admission or discharge.


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Basavaraj
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In publishing and graphic design, lorem ipsum (derived from Latin dolorem ipsum, translated as "pain itself") is a filler text commonly used to demonstrate the graphic elements of a document or visual presentation
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{{ideas.ideas_participating}} Participants
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{{ideas.ideas_participating}} Participants
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{{ideas.location}}, {{ideas.domain}}
{{ideas.ideas_participating}} Participants
In publishing and graphic design, lorem ipsum (derived from Latin dolorem ipsum, translated as "pain itself") is a filler text commonly used to demonstrate the graphic elements of a document or visual presentation
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{{ideas.ideas_participating}} Participants


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$ A B C D E F G H I L M N O P R S T U V W Z
All Classes All Packages
All Classes All Packages
All Classes All Packages
R
- readImageResource(String) - Static method in class com.agentdid127.resourcepack.library.Util
-
Reads Image as BufferedImage
- readJson(Gson, Path) - Static method in class com.agentdid127.resourcepack.library.Util
- readJson(Gson, Path, Class<T>) - Static method in class com.agentdid127.resourcepack.library.Util
- readJsonResource(Gson, String) - Static method in class com.agentdid127.resourcepack.library.Util
-
Reads Json
- registerConverter(Converter) - Method in class com.agentdid127.resourcepack.library.PackConverter
-
Registers Converter.
- remap(String) - Method in class com.agentdid127.resourcepack.backwards.impl.NameConverter.Mapping
- remap(String) - Method in class com.agentdid127.resourcepack.forwards.impl.NameConverter.Mapping
- remapModelJson(Path) - Method in class com.agentdid127.resourcepack.backwards.impl.ModelConverter
-
Updates model Json to newer versions
- remapModelJson(Path) - Method in class com.agentdid127.resourcepack.forwards.impl.ModelConverter
-
Updates model Json to newer versions
- remapProperties(Path) - Method in class com.agentdid127.resourcepack.backwards.impl.MCPatcherConverter
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Deprecated.Remaps properties to work in newer versions
- remapProperties(Path) - Method in class com.agentdid127.resourcepack.forwards.impl.MCPatcherConverter
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Deprecated.Remaps properties to work in newer versions
- removeBOMs() - Method in class com.agentdid127.resourcepack.library.utilities.BomDetector
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Find and remove BOMs from files under the given root directory.
- renameAll(NameConverter.Mapping, String, Path) - Method in class com.agentdid127.resourcepack.backwards.impl.NameConverter
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Renames folder
- renameAll(NameConverter.Mapping, String, Path) - Method in class com.agentdid127.resourcepack.forwards.impl.NameConverter
-
Renames folder
- renameFile(Path, String) - Static method in class com.agentdid127.resourcepack.library.Util
- replaceTextures(PropertiesEx) - Method in class com.agentdid127.resourcepack.backwards.impl.MCPatcherConverter
-
Deprecated.Replaces texture paths with blocks and items
- replaceTextures(PropertiesEx) - Method in class com.agentdid127.resourcepack.forwards.impl.MCPatcherConverter
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Deprecated.Replaces texture paths with blocks and items
- runDir() - Method in class com.agentdid127.resourcepack.backwards.BackwardsPackConverter
- runDir() - Method in class com.agentdid127.resourcepack.forwards.ForwardsPackConverter
- runPack(Pack) - Method in class com.agentdid127.resourcepack.backwards.BackwardsPackConverter
- runPack(Pack) - Method in class com.agentdid127.resourcepack.forwards.ForwardsPackConverter
All Classes All Packages


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Let's get started!
We care about making it as easy as possible to access information about energy impact timing, so we've made the WattTime Impact API open to anyone. But we encourage you to create an account anyway! It's free, quick, and easy, and it will help us do more awesome together. Plus, creating an account is how you get an API token, which gives you unlimited access to the API.
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The Netbeans Drupal Plugin is developed to facilitate the development of Drupal modules and themes within the Netbeans IDE. This project us open sourced, licensees under the Apache v2 license (the same as Drupal!). The goal of this project is to become a group effort by Drupal developers to create a valuable item for our toolbox as we develop in our favorite platform.
The following shows a quick overview of the features currently offered and updated information is always available .
API Tree |
At the heart of NDDT is the API Tree window. This window, which can float or become docked to numerous areas of your workspace, provides quick access to all the hooks Drupal has to offer. At the top of the window is a quick lookup box, which provides a rapid way to find hooks and templating functions within Drupal. | |
Drupal Search Bar |
Drupal has a lot of functionality built in and remembering it all can be near impossible. The Drupal Search Bar appears at the top of the IDE and provides a quick path to the different topics and functions that Drupal has to offer. | |
Module And Template Creation |
With the module and template wizards, creating new modules and templates becomes a breeze. After only a couple of clicks you have the folder structure with all important files ready to go. | |
Drush Integration |
As any seasoned Drupal developer will tell you, Drush is a vital tool when building sites. NDDT offers integrations with Drush, saving you from having to switch from Netbeans to a terminal window. | |
Customization |
A simple yet powerful templating system allows you to add custom hooks, template functions and even code snippets. |


The Segmented donut chart was formerly a variation of the Pie chart, however now it has been promoted to a standalone chart type. It represents a single value as a proportion of the whole - a circular progress bar effectively.
The chart is quite small and fits well on smaller devices so it doesn't need a lot of changing
with the responsive
function. Only the width
and labelSize
properties are adjusted and the CSS
float
value is changed.
An event listener is added to the canvas
(using the standard addEventListener
function) so that when you click on the chart the value of where you click is retrieved (using the
objects getValue
function, set on the chart object and then the chart animates to the
new value.
<script src="RGraph.common.core.js"></script> <script src="RGraph.segmented.js"></script>Put this where you want the chart to show up:
<div> <canvas id="cvs" width="350" height="350">[No canvas support]</canvas> </div>This is the code that generates the chart - it should be placed AFTER the
canvas
tag(s):


This is the implementation of the TCA bundle routing algorithm.
A TCARouter is a specialized TableBasedRouter where the route table is manipulated in response to certain control bundles (for example, a "register" bundle, or a "change-of-address" bundle). Specialized routing logic is then applied in order to route late-bound bundles addressed to a mobile node, to the mobile's current location in the network.
The main interface point is the overridden handle_bundle_received function which tests for the special TCA bundles (control bundles and late-bound data bundles). For more information please see the route command.


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--- layout: page title: About header-img: "img/about-bg.png" ---
A blog about my progress/experiences with learning Software Engineering.


The C++ Standard Library implements the two-category error model described in Section 18.1 with a set of classes. These classes, which are defined in the stdexcept header file, can be used to catch exceptions thrown by the library and to throw exceptions from your own code.
The exception handling classes are related through inheritance. The inheritance hierarchy looks like this:
exception logic_error domain_error invalid_argument length_error out_of_range runtime_error range_error overflow_error underflow_error
Classes logic_error and runtime_error inherit from class exception. All other exception handling classes inherit from either logic_error or runtime_error.


The symbols used in the dy/dx formula are 'x' and 'y' x: is a real number y: can either be number or an array depending on the dimensions of the equation
The symbols used in the dy/dx formula are 'x' and 'y' x: is a real number y: can either be number or an array depending on the dimensions of the equation


‘Beware’: Michael Owen states his prediction for Man City v Chelsea FC
Michael Owen is tipping Manchester City to return to winning ways against Chelsea FC on Saturday evening
by The Sport Review staffMichael Owen is backing Manchester City to return to winning ways against Chelsea FC at The Etihad on Saturday evening.
The defending Premier League champions suffered a 3-1 loss to league leaders Liverpool FC at Anfield in their last top-flight outing before the international break.
Pep Guardiola’s side have some ground to make up if the Citizens want to retain their Premier League crown for a third successive season under the Spanish head coach.
Chelsea FC are in third position in the Premier League table and a point ahead of the title holders following an excellent run of results in the top flight.
Frank Lampard’s young side have won their last six Premier League games to hoist themselves into the top four and remain within eight points of leaders Liverpool FC.
Former Liverpool FC striker Owen is anticipating a high-scoring game between Manchester City and Chelsea FC but the pundit believes the Citizens will find a way to win.
“The game of the weekend is at the Etihad and champions Manchester City will leapfrog Chelsea in the table if they take all three points,” Lampard told BetVictor.
“City won the corresponding game 6-0 last season but Chelsea did win the reverse fixture at Stamford Bridge earlier in the season and only penalties were able to split the sides at Wembley in the League Cup Final back in February.
“After their defeat at Anfield in their previous game City cannot afford to drop points, especially at the Etihad, if they are to put pressure on Liverpool in their quest for a hat-trick of titles.
“Chelsea have improved under Frank Lampard and their exciting young side are confident and talented. But beware a wounded Pep Guardiola and his side – it will have been a long international break for the City boss.”
Chelsea FC appointed Lampard as their new manager back in the summer after Maurizio Sarri quit the west London side to take over the reins at Serie A champions Juventus.
Lampard has been praised for giving Chelsea FC youngsters a chance to shine, such as Tammy Abraham, Mason Mount and Fikayo Tomori.


{% extends "base.html" %} {% block content %}
Welcome to LocFun! This site will allow you to explore events in your area.
LocFun uses the following APIs:


GeoDefense
问题描述 :
The choice and positioning of the towers is the essential strategy of the game. Many games, such as Flash Element Tower Defense, feature enemies that run through a "maze", which allows the player to strategically place towers for optimal effectiveness. However, some versions of the genre force the user to create the maze out of their own towers, such as Desktop Tower Defense. Some versions are a hybrid of these two types, with preset paths that can be modified to some extent by tower placement, or towers that can be modified by path placement.
geoDefense is a Thinking Man’s Action Tower Defense. It has become one of "PC World’s 10 iPhone Games You CANNOT Live Without". Using exciting vectorized graphics, this highly kinetic game brings a whole new dimension to the defense genre. Devastate creeps with blasters, lasers and missiles and watch their energy debris swirl through the gravity wells of your vortex towers.
There is a geoDefense maze of n points numbered from 1 and connected by passageways. There are at least two dead ends among these n points, and there is always one and only one path between any pair of points. Point 1 is a dead end, and it’s the base of enemies, and all the other dead ends are your bases.
To prevent the enemy reaching your bases, you have to construct towers to attack the enemy. You can build tower on any point and you can only build one tower on one point. A tower can only shot the enemy when it passes the tower. You are given ki choices to build tower on point i, and each choice is given in the format of (price, power) which means that you can build a tower with attack power value equals power in the cost of price. You can also build nothing on a point so it will not cost your money. A tower will reduce the enemy’s HP by its attack power. When the HP is less or equal to zero, the enemy dies immediately.
The base of enemies will release only one enemy. It moves very fast that you cannot do anything such as building towers while it is running. It runs all the way until it dies or reaches one of your bases. However, you cannot predict the route it will go through. To win the game, you must kill the enemy before it reaches your bases. You have to strategically place towers for optimal effectiveness so that the fortifications are steady enough to protect the bold and powerful enemy with high HP.  You have money m when the game begins.
Please note that the towers build in the enemy’s base or your bases are all effective and if the enemy is shot to death in your bases, you still win.
输入:
For each test case, the first line contains only one integer n (2 <= n <= 1000) meaning the number of points.
The following n-1 lines describe the passageways. Each line contains two integers u and v, which are the endpoints of a passageway.
The following line contains only one integer m (1 <= m <= 200) meaning the amount of your money when the game begins.
Then n lines follow. The ith line describes the construction choices of the ith point. It starts with an integer ki (0 <= ki <= 50) and ki is followed by ki pairs of integers separated by spaces. The jth pair is (pricei,j, poweri,j), 0 <= pricei,j <= 200, 0 <= poweri,j <= 50000. ki being zero means that you can’t build a tower on the ith point.
输出:
For each test case, the first line contains only one integer n (2 <= n <= 1000) meaning the number of points.
The following n-1 lines describe the passageways. Each line contains two integers u and v, which are the endpoints of a passageway.
The following line contains only one integer m (1 <= m <= 200) meaning the amount of your money when the game begins.
Then n lines follow. The ith line describes the construction choices of the ith point. It starts with an integer ki (0 <= ki <= 50) and ki is followed by ki pairs of integers separated by spaces. The jth pair is (pricei,j, poweri,j), 0 <= pricei,j <= 200, 0 <= poweri,j <= 50000. ki being zero means that you can’t build a tower on the ith point.
样例输入:
2 2 1 2 30 3 10 20 20 40 30 50 3 10 30 20 40 30 45 4 2 1 3 1 1 4 60 3 10 20 20 40 30 50 3 10 30 20 40 30 45 3 10 30 20 40 30 35 3 10 30 20 40 30 35
样例输出:
70 80
//该题链接http://acm.hdu.edu.cn/showproblem.php?pid=4044
/* 报告人：SpringWater(GHQ)
//此题大意：一个以1为根节点的树，每个节点可以有修防御系统，每个节点的
防御系统（具有不同的价格和防御力）有chioce种可能的选择，敌人的基地为根节点，我方的基地为所有的叶
子节点，敌人可以随机发射一个攻击（具有一定的攻击力指数），当遇到你在某节点上修的防御拦截系统时，
它的攻击力会减去你该点的防御力，当它到达你的基地后经历了你所有的防御系统都还有剩余攻击力（即攻击
力为正值）的话，那你就输了！否则你就防御成功，题目要求，加入给你一定的money，问你能用这些钱所能
修建出最大的稳定防御力是多少（即敌人只要超过这个值就有可能将你打败）；
解题思路：根据题意可判定是一个树形DP问题；即需算出每个点i，在给予j的钱，所能修建出的出的最大的稳定防御力；
即dp[i][j];所以再用最小背包解决即可；但此题的难点是，对于i来说他要求出的是在钱为j的前提下，最大攻击力，而对于孩子
来说，是求最大的最小防御力（听起来很别扭是吧！其实关键处理也在这里了！），这里的最小是指：当按照某种方式分配钱，来
修防御系统时，最薄弱（最小）的防御孩子是多少；而最大是指：在所有的方式中求得最大的那个最薄弱防御值，这就可以求得
不考虑i的情况下的dp[i][j]值，之后再在此基础上讨论i选择哪种拦截系统，这就是一个简单的背包dp问题了，故该题用了两次
dp来将问题简化是我觉得我最精华的部分了（嘻嘻！），动态方程如下：
第一次dp：在只讨论i的孩子dp[i][j]=max{(power<dp[i][j-price])?power:dp[i][j-price]} (涉及到既要利用dp[i][j],
又要初始化为0来求最大值，所以我就私自多用了一个temp[210]来中介)
第二次dp：只讨论i: dp[i][j]=max{dp[i][j],dp[i][j-price]+power}
回头感悟：虽然我这代码排在static的第二名，但是还是有几点不足，比如 （1）第二次dp就没有必要多用一个temp来
中转直接从最大money……0即可解决（2）在处理第一dp的时候，我花的时间太长，可能 是因为第一次独立编这种树
形dp吧，我想在今后的不断练习中，思维就更加成熟，编码就更加熟练！练习！练习！还是练习！噢！别忘了总结！嘻嘻！
*/
#include<stdio.h> #include<string.h> struct tree{ int k[60][2]; int son; }node[1010];//用于保存各节点的信息 struct see { int point; int next; }seek[2010];//用于索引个点的孩子 int count[1010];//记录每个节点有多少种choice int seek_num; int money; int dp[1010][210],temp[210]; int add_son(int sta,int end)//建立索引表 { seek_num++; seek[seek_num].point=end; seek[seek_num].next=node[sta].son; node[sta].son=seek_num; seek_num++; seek[seek_num].point=sta; seek[seek_num].next=node[end].son; node[end].son=seek_num; return 0; }; int fun(int fa,int ffa)// dp加递归 { int i,j,k,min; int price,power; int first,ii; for(i=node[fa].son;i!=0;i=seek[i].next)//索引fa的所有孩子再进行递归 { if(seek[i].point!=ffa)//防止死锁 fun(seek[i].point,fa);//递归 } first=1; for(i=node[fa].son;i!=0;i=seek[i].next)//索引fa的所有孩子i，分别在i以前的兄弟都已经进行dp的基础上进行dp { if(seek[i].point!=ffa) { if(first)//当是i第一个孩子时dp[fa][ii]的值为dp[i][ii]; { first=0; for(ii=0;ii<=money;ii++) dp[fa][ii]=dp[seek[i].point][ii]; } else { memset(temp,0,sizeof(temp)); for(j=money;j>=0;j--) //注意这里没有严格要求一定是从money……0，因为我用了一个temp { for(k=0;k<=j;k++)//进行dp[i][j]=max{(power<dp[i][j-price])?power:dp[i][j-price]} { min=(dp[seek[i].point][k]<dp[fa][j-k])?dp[seek[i].point][k]:dp[fa][j-k]; if(min>temp[j]) temp[j]=min; } } for(j=0;j<=money;j++) dp[fa][j]=temp[j]; } } } memset(temp,0,sizeof(temp));//这是一大败笔，但是考虑到这也是我的一个成长历程，纪念一下，就没去改了， //有兴趣的你可以试试去掉它！(提示：内外循环交换) for(i=0;i<=count[fa];i++)//此只讨论i的各种选择 { if(!i) price=power=0;//当fa点一个防御系统都不修建的情况！ else price=node[fa].k[i][0],power=node[fa].k[i][1]; for(j=money;j>=0;j--)//进行dp[i][j]=max{dp[i][j],dp[i][j-price]+power} { if(j>=price) { if(temp[j]<power+dp[fa][j-price]) temp[j]=power+dp[fa][j-price]; } else break; } } for(j=0;j<=money;j++) dp[fa][j]=temp[j]; return 0; } int main() { int T,i,j,n; int v,u,choice; // freopen("input.txt","r",stdin); scanf("%d",&T);//测试数据 while(T--) { scanf("%d",&n);//节点数 for(i=1;i<=n;i++)//初始化，为索引做准备 node[i].son=0; for(i=0;i<2010;i++)//初始化，为索引做准备 seek[i].next=0; seek_num=0;//初始化，为索引做准备 for(i=1;i<n;i++) { scanf("%d%d",&v,&u); add_son(v,u);//分别为v，u增加儿子 } scanf("%d",&money);//总的钱 for(i=1;i<=n;i++) { scanf("%d",&choice);//每个点有多少种选择 count[i]=choice; for(j=1;j<=choice;j++) scanf("%d%d",&node[i].k[j][0],&node[i].k[j][1]);//防御系统对应的价格和防御能力值 } memset(dp,0,sizeof(dp)); fun(1,-1);//调用递归进行树形dp printf("%d\n",dp[1][money]); } return 0; }
版权声明：本文为博主原创文章，未经博主允许不得转载。
参考：http://blog.csdn.net/sprintfwater/article/details/7861875
我还以为是羊睾丸。
我还以为是羊睾丸。
我还以为是羊睾丸。
我还以为是羊睾丸。
我还以为是羊睾丸。
我还以为是羊睾丸。
我还以为是羊睾丸。
我还以为是羊睾丸。
我还以为是羊睾丸。
你是个傻子 不服你去演啊
妈呀！这个Dijkstra模板好长OwQ！
mark, 很巧妙的实现！
真心不错，力顶作者
1234百位上出现的次数应该是200吧。
涨姿势了
simple, however efficient. A lot of instances it is difficult to get that a??perfect balancea?? among usability and appearance. I must say that youa??ve done a exceptional task with this. Also, the blog masses quite fast for me on Web explore.
学习了
int L[m+1][n+1];这样定义出错，这个在gcc上可以编译通过 在VS上不行 应该改为new 或者vector
在第 18行的，while(scanf("%d %dn", &n, &c), n)，这句有错吧
great!
不考虑最后将结果排序的话，快排的时间复杂度是O(N) ，而堆排的是O(N*logK),这样比较看，快排快
97行缺一个分号
好厉害～
mark, 很巧妙的实现！


An Interactive Introduction To Quantum Computing Part 2
This article was originally written in 2014, but has had some minor improvements in December 2017 and January 2018 when I received some useful feedback after the article had unexpectedly been posted on Hacker News in December 2017.
This is Part 2 of a two part series. In Part 1 I explained some of the basics of qubits, including the mysterious notions of phase and quantum interference. Here in Part 2, you will learn how quantum computers may one day be able to solve search problems faster than conventional computers.
Multiple qubits
Important: There is something really important I feel the need to emphasize as we start dealing with multiple qubits.
The blue disks introduced in Part 1 do not correspond to single qubits.
Each blue disk corresponds to a distinct state of the entire quantum system. If you are not sure what I mean by that, then please hang in there, it will hopefully become aparent very soon.
Controlled NOT
The Controlled NOT operator is a very simple but powerful two-qubit operator.
The Controlled NOT operator modifies the value of one qubit (the target qubit) based on the value of another qubit (the control qubit).
Specifically, the Controlled NOT operator flips the value of the target qubit if the control qubit has a value of 1.
For example: Suppose we have two qubits with an initial value of “11”. Let's use the left qubit as the control qubit and the right qubit as the target. Then the result of applying a Controlled NOT will be “10”. As usual, we represent this as “11 → 10”
Continuing with our choice of left qubit as control qubit and right qubit as target, there are four scenarios to consider for the Controlled NOT operator.
- 00 → 00 (i.e. no effect)
- 01 → 01 (i.e. no effect)
- 10 → 11 (i.e. target bit flips)
- 11 → 10 (i.e. target bit flips)
Quantum Entanglement
A combination of the Hadamard followed by a Controlled NOT can put two qubits into a state of “quantum entanglement”.
In what follows, we take a two qubit system in the state “00”, apply the Hadamard operation to the left qubit, and then use that left qubit as the control in a Controlled NOT of the right qubit:
Initial State
After applying a Hadamard to the left qubit
When you apply a Hadamard to the left qubit, that qubit goes into a superposition of 0 and 1. The right qubit is not touched and continues to have the value 0. So the pair of qubits goes into a superposition of 00 and 10.
After a Controlled NOT of the right qubit controlled by the left qubit
The Controlled NOT will leave the 00 state unchanged as the control qubit (left qubit) is 0.
When acting on the 10 state, the control qubit is 1, and so the target bit is flipped resulting in 11. So the pair of qubits goes into a superposition of 00 and 11.
Note that, if you were to measure the qubits while they are in this state, you would find that they are either both 0 or both 1. This sort of correlation between qubit values within a superposition is called “quantum entanglement”.
Why quantum entanglement is so special deserves an entire article of its own. For now, I am simply using entanglement to emphasise how quantum superposition can apply to the combined state of a number of qubits.
Arbitrary Logic Functions
In addition to the NOT operator that we have already seen, a quantum computer can implement the standard logic functions of AND and OR. From these, one can compute any function over a fixed number of bits.
The details are surprisingly fascinating and not as straight forward as you might expect. However, for the purposes of this article, I want you to trust me when I say it can be done. This will allow us to move more quickly to the even more fascinating topic of quantum search.
Before we can cover quantum search, there is one more quantum operator I need to introduce.
Controlled Phase Flip
Recall that the term phase, introduced in Part 1, refers to the arrow direction of a state.
The controlled phase flip is a multi qubit operator. It flips the phase of the states where all of the specified qubits have the value of 1.
More useful to us, however, is a generalised form of the controlled phase flip. It will flip the phase of the states where the target qubits have any specified combination of 1's and 0's.
Try it yourself:
Quantum Search
Imagine you are trying to crack an n-bit encryption key by brute force: i.e. by trying every one of the 2n possible values.
This is a classic needle in a haystack search problem.
In other words, it belongs to a class of problems for which there exists an efficient function, called an oracle (or verification) function, that takes a candidate value as input and returns true if the candidate is the correct value. However, the only way to find the correct value is to test the oracle function on practically every possible value.
A conventional computer will need to evaluate the oracle function, on average, 2n-1 times.
By using Grover's algorithm, a quantum computer only needs to evaluate the oracle function less than √(2n) times.
Even if a conventional computer can compute the oracle function in a nanosecond, if the input was 64 bits long, then it would probably take hundreds of years for that conventional computer to find the answer. A quantum computer might possibly take just a few seconds. A conventional computer would have to evaluate the oracle function an average of 263 times, compared to just over four billion times for a quantum computer. It is likely however, at least in the early days of quantum computing, that individual operations on a quantum computer may be vastly slower than on a conventional computer. It may take a while before quantum computers ever get to solve a problem any faster than conventional computers.
For the extremely simple case where the input is only 2 bits, there are four possible answers. A conventional computer may need to test up to three of those possible values. (If it isn't the first three, then you can infer it must be fourth one without testing it.) As you will see below, a quantum computer can find the answer using a single invocation of the oracle function.
Quatum Search over 2 Qubits
First recall that the objective is to find the value of x for which the oracle function is true. For Grover's Search Algorithm to work, it is essential that the oracle function is true for exactly one value of x.
In the conventional descriptions of Grover's Search Algorithm, it is assumed that the the oracle function will flip the value of an “output” qubit when the input matches the desired result. It is a lot more convenient if we do away with the output bit, and instead flip the phase when the input matches the desired result.
Here are the steps to Grover's Search Algorithm for the very simple case of two bits.
For example, the problem may be to find factors of 15 that are less than 4. This is obviously trivial for such small values, but the problem of finding factors for very large numbers (e.g. numbers with over 100 digits) is currently a very computationally expensive problem.
- Start with the qubits in a superposition of all possible states: 00, 01, 10, and 11 (all with the same phase).
- Apply the oracle function once only. Note that, because the system starts in a superposition of all possible states, the oracle function is effectively applied to all possible states, but it will only flip the phase of the state for which we are searching. If you were to perform a measurement now, all the possible outcomes are still equally likely and so we don't seem to have made any progress. However, the next three steps use quantum interference to find the correct answer.
- Apply a Hadamard operation to both qubits.
- Flip the phase of the 00 state.
- Apply a Hadamard operation to both qubits again.
- Constructive and destructive quantum interference will ensure that, of the four possible states, a measurement is guaranteed to result in only the desired state.
You can try it yourself below. Your task is to find the value for which the oracle function f is "true". i.e. the state for which f will flip the phase. On a classical computer you would typically end up testing at least half the states before finding the answer. On a quantum computer you can test all the states simultaneously.
Don't forget, unlike what happens in the animation, each operation is effectively applied to all the states simultaneously.
Beyond Quantum Search
The two bit search is a bit of a special case where the oracle function only needs to be invoked once. As the number of bits increases, it becomes necessary to invoke the oracle function multiple times. In fact it needs to be invoked ¼π√(2n) times.
While general quantum search techniques may seem quite impressive, even ¼π√(2n) gets very large very quickly.
All you have to do is double the number of bits to wipe out any advantages. For example, over a 128 bit search space, a quantum computer would need to evaluate the oracle function almost as many times as a conventional computer does over a 64 bit search space. Even at one evaluation per nanosecond, it would take hundreds of years to crack a 128 bit encryption key.
However, encryption keys commonly used for securing internet traffic (RSA keys) can be broken using a special purpose quantum algorithm. These encryption schemes rely on the difficulty of factoring very large numbers, something that can be easily done on a quantum computer using Shor's Algorithm.
Shor's Algorithm has a “asymptotic” behaviour of O((log N)3). I won't try to explain the exact meaning of this statement, but it is quite possible that current encryption keys could be broken in sub-second time frames. Also, simply doubling the length of the key would have a barely noticeable effect on the time taken. The limiting factor is likely to be the number of qubits required since you need at least as many qubits as the key length.
D-Wave
You may have heard of D-Wave quantum computers.
These are currently the only commercially available quantum computers. D-Wave are building quantum computers containing 512 qubits, which in theory could be in a super position of 2512 states. Update Jan 2017: D-Wave have now built a 2000 qubit system and have plans for a 4000 qubit system.
Despite having such a large number of qubits, there is little evidence that they have been solving problems any faster than conventional computers.
D-Wave computers are special purpose “quantum annealing” computers. The quantum computers that I have been describing so far are known as “quantum gate” computers. Describing the differences are beyond the scope of this (already long) article.
Before they can start out-performing conventional computers, it is possible that D-Wave simply needs to use more qubits, or perhaps they may need to figure out how to make more effective use of their existing qubits. However, it quite possibly will not be long before we start seeing impressive results.
Some philosophy
Describing quantum computing in terms of superpositions of states that “collapse” to the observed state upon “measurement” is a very conventional approach to explaining the physics behind quantum computing. However, there are some serious deficiencies with this approach.
Probably the most fundamental problem is: What is so special about measurement that it causes quantum superpositions to collapse?
The measuring equipment itself is made of the same stuff as the qubits being measured (protons, neutrons, electrons, and photons).
When measuring a qubit that is in a superposition of two different states, there is nothing in quantum physics that says why the measuring equipment might cause the superposition to collapse to a single state instead of the measuring equipment becoming entangled with the qubit. Instead of the quantum state collapsing, the result could be a superposition of the following two states:
- the qubit being 0 and the measuring equipment detecting 0
- the qubit being 1 and the measuring equipment detecting 1
If you consider your conscious awareness to be nothing more than patterns of activity in your brain, and that your brain is governed by the laws of physics, then there is nothing in quantum physics that says why, when you look at the measurement outcome, you yourself do not become entangled with the quantum qubit and the measuring equipment. The result would be a superposition of the following two states:
- the qubit being 0, the measuring equipment detecting 0, and you being conscious of the measurement being 0
- the qubit being 1, the measuring equipment detecting 1, and you being conscious of the measurement being 1
Think of it as two alternative realities existing. In one reality you see a 0, and in the other you see a 1. Quantum interference is the only ways that these realities interact.
Variations on this interpretation of quantum physics are taken quite seriously by many physicists and physics philosophers, and is commonly referred to as the “Many Worlds” interpretation of quantum physics. Much has been written on the topic, and an internet search will point you to many good (and not so good) articles.
Quantum computing provides a nice way of looking at some of these issues. It may even provide a way of simulating ideas by, for example, representing different states of an observer using qubits.
This article has already covered more topics than I originally planned. However, I feel the need to include a little bit of a mathematical explanation to some of the material. For those that are not interested in the mathematics, feel free to skip to the Useful Links Section at the end.
Some mathematics
In this article I used little blue disks with red arrows to represent the probabilities of a set of bits or qubits being in different states. It is likely that I caused some confusion by quietly using the disks in subtly different ways when describing two quite different types of uncertainty.
When describing ordinary non-quantum bits, the system is in a definite state, but which state that is may be unknown. In this situation, it is most convenient if the arrow lengths are proportional to the probabilities of the respective states so that they can be added head to tail. If there were two scenarios, S1 and S2, both ending in the same state, where S1 has a probability of p1 and S2 has a probability of p2, then the probability of that final state is p1 + p2.
When describing qubits in a superposition of different states, it is no longer simply a case of not knowing which state they are in, the system actually seems to be in multiple states at once. In this situation, it is most convenient if the arrow lengths are proportional to the square roots of the probabilities of the respective states (the disk areas now effectively represent probabilities except for a factor of π). The arrow directions represent their phases. When two scenarios end in the same state, you need to use vector addition to add the arrows.
The arrows represent what physicists call “amplitudes”.
Conventionally, an amplitude is represented using a complex number whose value on the complex number plane coincides with the end of our arrow. If our arrow has a length r and a phase θ, then it is represented as the complex number:
r (cos(θ) + i sin(θ))
If a state had this amplitude, then the probability of that state being the outcome of a measurement is r2.
When we talk of “adding arrows head to tail”, we can simply add the corresponding complex numbers using ordinary complex number arithmetic.
Given that the probabilities of all possible outcomes have to add up to 1, it follows that the sum of the squares of the amplitude magnitudes also have to add up to 1. All quantum operators preserve this property.
If the amplitudes for the 0 and 1 states of a qubit are the (possibly complex) numbers a0 and a1 respectively, then applying a Hadamard results in the amplitudes of 0 and 1 becoming (1/√2)(a0 + a1) and (1/√2)(a0 - a1) respectively.
For the simple case of a qubit being 100% in the 1 state with a phase of 0, applying a Hadamard results in the amplitudes of 0 and 1 being 1/√2 and -1/√2 respectively. Notice that if you square and add these together that you get 1.
That is already more mathematics as I wanted to cover in this article. For more, see some of the useful links listed in the next section.
Useful links
- An excellent learning resource is John Watrous' Introduction to Quantum Computing Lecture Notes .
- If you want to experiment with the various qubit operators, then have a play with the Quantum Computer Gate Playground .
- Try doing some quantum programming using the jsqubits runner , or the Quantum Computing Playground
- The QCEngine is definitely worth exploring.


Mexican gymnast's sexual assault allegations rejected after claiming coach spanked her
Victoria Mata's request for a sanction against coach Eric Demay was snubbed by the Mexican Gymnastics Federation who saw no issue with a video of the incident which was said to have been presented to them
by Juan MayesA Mexican gymnast who accused her coach of sexual assault has seen her allegations ignored.
Victoria Mata, 19, claimed her coach Eric Demay spanked her bottom during a training session when she was 18.
She spoke out to local media about the alleged incident, after the Mexican Gymnastics Federation chose not to act.
Mata said: "You can clearly see how I am doing the physical preparation. He bends over and spanks me, I do not know what his intention was but I did not like it."
The alleged incident was captured on video and was presented to the Mexican Gymnastics Federation FGM president, Gustavo Salazar, who reportedly did not see any "anomalies" in the video and snubbed Mata's request for the action to sanctioned.
Mata described the incident saying: "We were doing a circuit and he was checking that everybody was doing it correctly.
"It happened while I was doing the exercise, it only happened once. I told my parents, the first thing they asked me is if I had felt it. They were very uncomfortable like me."
Both Eric Demay and his wife Cecile Demay were hired by Mexico to help the national team qualify to the 2020 Tokyo Olympics.
The Demays were eventually sacked by Salazar, however local media report the sacking had nothing to do with the accusations, but was due to Mexico not classifying to the next Olympics "which is what they were hired for" in March of this year.
Mata won a bronze medal last year in the World Cup held in Guimaraes, Portugal and dreams of "participating in the Olympics".


| Section | ||
|---|---|---|
| I. | A11Y References | |
| II. | Developer Network - Mozilla | |
| II. Developer Network - Mozilla | 1. TabIndex | Note from this resource: "If we set the tabindex attribute on a , then its child content cannot be scrolled with the arrow keys unless we set tabindex on the content too." |
| II. Developer Network - Mozilla | 1a. JSFiddle Example of MDN Tab Index as mentioned above | Example of content can or can NOT be accessed by scrolling with Keyboard |
| II. Developer Network - Mozilla | 2. WAI-ARIA basics | |
| III. | W3C | |
| III. W3C | 1. W3C | |
| III. W3C | 2. W3C | |
| IV. | Keyboard Accessibility | The Tab Index functionality was especially important to Robert, who relied on it heavily to manuever through the page. Without using tab index, he was forced to use mouse-grid and/or the window feature. |
| IV. Keyboard Accessibility | 1. JSFiddle Example | Example of content can or can NOT be accessed by scrolling with Keyboard |


PerturbedHalos: Accurate Models for Matter Power Spectra and Cluster Covariances¶
PerturbedHalos is a fast Python code providing models of the real-space matter power spectrum, based a combination of the Halo Model and Effective Field Theory, which are 1% accurate up to \(k = 1h\,\mathrm{Mpc}^{-1}\). It can additionally compute accurate the covariance between halo counts and the matter power spectrum.
This is based on the work of Philcox, Spergel & Villaescusa-Navarro (in prep.), and makes use of the CLASS and FAST-PT codes for computing linear and one-loop power spectra respectively.
Authors:
- Oliver Philcox (Princeton)
- David Spergel (Princeton / CCA)
- Francesco Villaescusa-Navarro (Princeton / CCA)
Todo:
- Add requirements + installation
- Write basic documentation / tutorial


//create & connect a sampler to output. at a minimum, sampler requires a
//path to a file to play. the file must be hosted on the same domain and accessed
//using the same protocol & port as the document requesting it.
__().
sampler({path:"../../data/various/gun-cock.wav"}).
dac();
__("sampler").start();
//same as above but looping
__().
sampler({path:"../../data/various/gun-cock.wav",loop:"true"}).
dac();
__("sampler").start();
//same as above but at 1/4 speed
__().
sampler({
path:"../../data/various/gun-cock.wav",
loop:"true",
speed:.25
}).
dac();
__("sampler").start();
//same as above but with specified loop points
__().
sampler({
path:"../../data/various/gun-cock.wav",
loop:"true",
speed:.25,
start:.1,
end:0.25
}).
dac();
__("sampler").start();


Note
Click here to download the full example code
# sphinx_gallery_thumbnail_number = 7
import os.path as op
import mne
data_path = op.join(mne.datasets.sample.data_path(), 'MEG', 'sample')
raw = mne.io.read_raw_fif(
op.join(data_path, 'sample_audvis_raw.fif'), preload=True)
raw.load_data().filter(None, 9, fir_design='firwin')
raw.set_eeg_reference('average', projection=True) # set EEG average reference
event_id = {'auditory/left': 1, 'auditory/right': 2, 'visual/left': 3,
'visual/right': 4, 'smiley': 5, 'button': 32}
events = mne.read_events(op.join(data_path, 'sample_audvis_raw-eve.fif'))
epochs = mne.Epochs(raw, events, event_id=event_id, tmin=-0.2, tmax=.5)
This tutorial focuses on visualization of epoched data. All of the functions introduced here are basically high level matplotlib functions with built in intelligence to work with epoched data. All the methods return a handle to matplotlib figure instance.
Events used for constructing the epochs here are the triggers for subject being presented a smiley face at the center of the visual field. More of the paradigm at Trigger codes for the sample data set..
All plotting functions start with plot
. Let’s start with the most
obvious. mne.Epochs.plot()
offers an interactive browser that allows
rejection by hand when called in combination with a keyword block=True
.
This blocks the execution of the script until the browser window is closed.
epochs.plot(block=True)
The numbers at the top refer to the event id of the epoch. The number at the bottom is the running numbering for the epochs.
Since we did no artifact correction or rejection, there are epochs contaminated with blinks and saccades. For instance, epoch number 1 seems to be contaminated by a blink (scroll to the bottom to view the EOG channel). This epoch can be marked for rejection by clicking on top of the browser window. The epoch should turn red when you click it. This means that it will be dropped as the browser window is closed.
It is possible to plot event markers on epoched data by passing events
keyword to the epochs plotter. The events are plotted as vertical lines and
they follow the same coloring scheme as mne.viz.plot_events()
. The
events plotter gives you all the events with a rough idea of the timing.
Since the colors are the same, the event plotter can also function as a
legend for the epochs plotter events. It is also possible to pass your own
colors via event_colors
keyword. Here we can plot the reaction times
between seeing the smiley face and the button press (event 32).
When events are passed, the epoch numbering at the bottom is switched off by default to avoid overlaps. You can turn it back on via settings dialog by pressing o key. You should check out help at the lower left corner of the window for more information about the interactive features.
events = mne.pick_events(events, include=[5, 32])
mne.viz.plot_events(events)
epochs['smiley'].plot(events=events)
To plot individual channels as an image, where you see all the epochs at one
glance, you can use function mne.Epochs.plot_image()
. It shows the
amplitude of the signal over all the epochs plus an average (evoked response)
of the activation. We explicitly set interactive colorbar on (it is also on
by default for plotting functions with a colorbar except the topo plots). In
interactive mode you can scale and change the colormap with mouse scroll and
up/down arrow keys. You can also drag the colorbar with left/right mouse
button. Hitting space bar resets the scale.
epochs.plot_image(278, cmap='interactive', sigma=1., vmin=-250, vmax=250)
We can also give an overview of all channels by calculating the global
field power (or other other aggregation methods). However, combining
multiple channel types (e.g., MEG and EEG) in this way is not sensible.
Instead, we can use the group_by
parameter. Setting group_by
to
‘type’ combines channels by type.
group_by
can also be used to group channels into arbitrary groups, e.g.
regions of interests, by providing a dictionary containing
group name -> channel indices mappings.
epochs.plot_image(combine='gfp', group_by='type', sigma=2., cmap="YlGnBu_r")
You also have functions for plotting channelwise information arranged into a shape of the channel array. The image plotting uses automatic scaling by default, but noisy channels and different channel types can cause the scaling to be a bit off. Here we define the limits by hand.
epochs.plot_topo_image(vmin=-250, vmax=250, title='ERF images', sigma=2.,
fig_facecolor='w', font_color='k')
Total running time of the script: ( 0 minutes 35.495 seconds)


Timeline click to use
This example demonstrates how to use the clickToUse
option: before you can scroll and drag in the timeline, you first have to click in the timeline to activate.
This example demonstrates how to use the clickToUse
option: before you can scroll and drag in the timeline, you first have to click in the timeline to activate.


Please copy this text exactly and save it somewhere to import into the Runner.
Click anywhere outside this dialog to close.


Bay Area Wedding Photography
Testimonials
1
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Here's some text. Let’s make a list:
This is paragraph of text with emphasis and some print("inline code") as well.
print("inline code")
This is a blockquote. And this
This is a code block.


Baker Mayfield on Shaving Handlebar Mustache: 'I Didn't Deserve It' | Breitbart
Cleveland Browns quarterback Baker Mayfield has not lost his starting job due to his struggles on the field.
by Dylan GwinnHowever, his poor play has cost him his handlebar mustache.
Mayfield showed up to Empower Field in Denver with a full bear beard:
However, given that he was undefeated while rocking the handlebar mustache, Mayfield decided to go back to that:
Sadly though, for Mayfield and Browns fans, the handlebar mustache did not produce victory. After Cleveland’s 24-19 loss to the Broncos, Mayfield decided he did not “deserve” the handlebars, and shaved them off.
Incredibly, though Mayfield had shaved twice in the same day producing two entirely different looks, his head coach Freddie Kitchens said he didn’t notice.
“I didn’t know he shaved the day of the game,” Kitchens said. “I don’t really look at faces that much in terms of facial hair.”
Follow Dylan Gwinn on Twitter @themightygwinn


This spell shapes a creature's dreams.  The target must be on the same plane of existence as you.
Creatures that don't sleep, such as elves, can't be contacted by this spell.
While in the trance, the messenger is aware of his or her surroundings, but can't take actions or move.
If the target is asleep, the messenger appears in the target's dreams and can converse with the target as long as it remains asleep, through the duration of the spell. The messenger can also shape the environment of the dream, creating landscapes, objects, and other images. The messenger can emerge from the trance at any time, ending the effect of the spell early. The target recalls the dream perfectly upon waking. If the target is awake when you cast the spell, the messenger knows it, and can either end the trance (and the spell) or wait for the target tofall asleep, at which point the messenger appears in the target's dreams.
You can make the messenger appear monstrous and terrifying to the target. If you do, the messenger can deliver a message of no more than ten words and then the target must make a W isdom saving throw. On a failed save, echoes of the phantasmal monstrosity spawn a nightmare that lasts the duration of the target's sleep and prevents the target from gaining any benefit from that rest. In addition, when the target wakes up, it takes 3d6 psychic damage.
If you have a body part, lock of hair, clipping from a nail, or similar portion of the target's body, the target makes its saving throw with disadvantage.


Hyungsik garners attention for attending the '40th Blue Dragon Film Awards' in his military uniform
by beansssBack on November 21, singer/actor Hyungsik garnered attention for his attendance at the '40th Blue Dragon Film Awards'!
Amidst the actors and actresses dressed elegantly in their suits and dresses, Hyungsik was recognizable even from far away due to the fact that he attended in his military uniform! Hyungsik is currently carrying out his mandatory military service, after enlisting as an active duty soldier back in June of this year.
In fact, during the award ceremony, Hyungsik was called on by MC Park Kyung Lim to greet viewers for the first time in a while. Surprised, Hyungsik stood up, and along with actor Jung Hae In who happened to be sitting next to him, he gave a stern military salute.
Meanwhile, Hyungsik also took home a 'Popularity Award' at the '40th Blue Dragon Film Awards' alongside Honey Lee, Lee Kwang Soo, and Girls' Generation's YoonA. You can check out these stars accepting their 'Popularity Award's at the ceremony, below!


We believe in cultural diversity
Technical Director
He is responsible for making sure all development output is of the highest standards.
Web Developer
As an experienced developer in our team, she specialises in front-end development.
Team Lead
Sam has been building startups in New York City for several years and now he is working with us.
Assistant
Edna is responsible for the company's operating system, pricing, and strategic planning.
© 2018 COPYRIGHT
DESIGNED BY RAGHAV


Changing the way women think about money
OUR MISSION
The greatest recession of 2007-2009 was called a “man-cession” because the
hardest hit sectors were traditionally male: construction and manufacturing. However, in
2020, the word was newly branded “she-cession” as the worst hit industries are those that
can’t be done virtually and are largely dominated by women such as travel, education, health
services and retail. Now more than ever, it is vital for women to have financial security,
therefore, this is what led us to create a website that provides women with resources on how
to utilise money and to provide women with financial literacy. It is our mission to educate
women on finance particularly during uncertain times where women have accounted for 55%
of job losses during this pandemic. Investing in women’s financial literacy is the key to
achieving financial and social equality. As more women become leaders across the globe,
it’s imperative to ensure that they have access to a robust and impactful financial education.
With greater economic independence and empowerment, there are no limits to what we as
women can achieve.
Welcome to Her Finance, created by women, for women.
OUR PLATFORM
Join a community
of like-minded
women
A female focused forum to discuss personal finance
Helping women build personal wealth through collaborative learnings
YOUR PERSONAL FINANCE
Women are more likely than men to struggle with debt, with women making up 55% of over-indebted people in the UK, and being 14% more likely than men to go insolvent, according to research by Money Advice Service. The reasons why women are more likely to accumulate debt include the fact that women are paid less than men (15.5% less in 2020), more likely to be in lower-paid jobs and more likely to leave work or go part- time to take care of caring responsibilities. Here are 4 recommended steps to dealing with debt...
Research reveals a dramatic difference in the amount of money British men and women have in their savings, exposing a 32% gender savings gap. The consumer study, by leading discount site VoucherCodes.co.uk, reveals that the average man in Britain has £24,880 in savings – 32% more (£8,038) than the average British woman. The widest gender savings gap is found among millennials, with female respondents in that age group reporting 60% less in savings than their male counterparts – an enormous £15.9k. Yet again, the gender pay gap of 17.3% is making this impact...
Only 13% of women think they have a good amount of knowledge and understanding of investing and stock markets. A study, led by YouGov Omnibus, found that over half (52%) of UK women have never owned any investments, compared to 37% of men. The study also reveals that only one in five women hold an investment, against a third of men. And yet, investing could help women build up a decent nest for the future and turn their long-term goals into reality. So how do you get started?


WebGL Libraries - Features
TODO- Work in progress
Libraries/Frameworks all have one goal:
Use abstraction to allow you to spend more time developing the features
of your application
With this, we are not here to judge or say which library is “better” as
that is not a feasible question to answer. So what we
can offer is a chart to show you what each library has to
offer in terms of things it will help abstracts for you
X -> Supports features
Column Key
2D Images
- Supports adding 2D images or sprites as a 2D element.
2D Text
- Supports adding text into the scene as a 2D element.
Animation
- Supports animation of models.
Audio
- Supports loading in audio.
Exporting
- Supports exporting models or scenes to file or other formats.
Importing
- Supports importing of 3D models and/or images.
Math
- Supports with all the fun matrix and vector math.
Modeling
- Supports modeling 3D objects.
Point Cloud
- Supports showing or using point cloud data.
Physics
- Supports a physics engine for simulation.
Rendering
- Supports advance features for rendering.
Shaders
- Supports creating your own shaders for use in project.
Texturing
- Supports adding textures to models and materials.
WebVR
- Supports the ability to be display WebVR on mobile devices.


Constructor
new AutomatedTest(testId)
Create an Automated Test.
Parameters:
| Name | Type | Description |
|---|---|---|
testId |
number | the selenium session ID, usually from webdriver |
- Source:
Methods
(async) getSnapshots() → {object}
Gets all snapshots for this test.
- Source:
Returns:
a list of Snapshot objects for this test.
- Type
- object
(async) getVideos() → {object}
Gets all video recordings for this test
- Source:
Returns:
A list of Video objects for this test
- Type
- object
(async) saveAllSnapshots(directory, useDescription)
Downloads all snapshots for this test into a directory.
Parameters:
| Name | Type | Description |
|---|---|---|
directory |
string | the directory where the snapshots will be saved. |
useDescription |
boolean | If true set the images names as their descriptions. |
- Source:
(async) saveAllVideos(directory, useDescription)
Downloads all videos for this test into a directory.
Parameters:
| Name | Type | Description |
|---|---|---|
directory |
string | the directory where the videos will be saved. |
useDescription |
boolean | If true set the video names as their descriptions. |
- Source:
setDescription(description)
Sets the description for our test in the CBT app.
Parameters:
| Name | Type | Description |
|---|---|---|
description |
string | The description of your test. |
- Source:
setScore(score)
Sets the score for our test in the CBT app
Parameters:
| Name | Type | Description |
|---|---|---|
score |
string | Should be 'pass', 'fail', or 'unset'. |
- Source:
(async) startRecordingVideo(description)
Starts recording video for this test
Parameters:
| Name | Type | Description |
|---|---|---|
description |
string | (optional) Description of the video. |
- Source:
stop()
Sends the command to our api to stop the selenium test. Similar to driver.quit()
- Source:
(async) takeSnapshot(description)
Sends the command to take a snapshot and returns a Snapshot instance
Parameters:
| Name | Type | Description |
|---|---|---|
description |
string | (optional) description - The description of your snapshot. |
- Source:


The Tragedy of MacBeth
by William Shakespeare
Act 5, Scene 3
Additional Information
- Year Published: 1607
- Language: English
- Country of Origin: England
- Source: Richard Grant White, ed. The Complete Works of William Shakespeare (New York: Sully and Kleinteich)
-
Readability:
- Flesch–Kincaid Level: 11.0
- Word Count: 549
- Genre: Tragedy
- Keywords: betrayal, envy, murder, power, revenge, tragedy
- ✎ Cite This
Downloads
SCENE. Dunsinane. A room in the castle.
(Enter MACBETH, Doctor, and Attendants)
MACBETH
Bring me no more reports; let them fly all:
Till Birnam wood remove to Dunsinane,
I cannot taint with fear. What's the boy Malcolm?
Was he not born of woman? The spirits that know
All mortal consequences have pronounced me thus:
'Fear not, Macbeth; no man that's born of woman
Shall e'er have power upon thee.' Then fly,
false thanes,
And mingle with the English epicures:
The mind I sway by and the heart I bear
Shall never sag with doubt nor shake with fear.

Where got'st thou that goose look?
Servant
There is ten thousand—
MACBETH
Geese, villain!
Servant
Soldiers, sir.
 What soldiers, patch?
Death of thy soul! those linen cheeks of thine
Are counsellors to fear. What soldiers, whey-face?
Servant
The English force, so please you.
MACBETH
Take thy face hence.
(Exit Servant)
Seyton!—I am sick at heart,
When I behold—Seyton, I say!—This push
Will cheer me ever, or disseat me now.
I have lived long enough: my way of life
Is fall'n into the sear, the yellow leaf;
And that which should accompany old age,
As honour, love, obedience, troops of friends,
I must not look to have; but, in their stead,
Curses, not loud but deep, mouth-honour, breath,
Which the poor heart would fain deny, and dare not. Seyton!
(Enter SEYTON)
SEYTON
What is your gracious pleasure?
MACBETH
What news more?
SEYTON
All is confirm'd, my lord, which was reported.
MACBETH
I'll fight till from my bones my flesh be hack'd.
Give me my armour.
SEYTON
'Tis not needed yet.
MACBETH
I'll put it on.
Send out more horses; skirr the country round;
Hang those that talk of fear. Give me mine armour.
How does your patient, doctor?
Doctor
Not so sick, my lord,
As she is troubled with thick coming fancies,
That keep her from her rest.
MACBETH
Cure her of that.
Canst thou not minister to a mind diseased,
Pluck from the memory a rooted sorrow,
Raze out the written troubles of the brain
And with some sweet oblivious antidote
Cleanse the stuff'd bosom of that perilous stuff
Which weighs upon the heart?
Doctor
Therein the patient
Must minister to himself.
MACBETH
Throw physic to the dogs; I'll none of it.
Come, put mine armour on; give me my staff.
Seyton, send out. Doctor, the thanes fly from me.
Come, sir, dispatch. If thou couldst, doctor, cast
The water of my land, find her disease,
And purge it to a sound and pristine health,
I would applaud thee to the very echo,
That should applaud again.—Pull't off, I say.
What rhubarb, cyme, or what purgative drug,
Would scour these English hence? Hear'st thou of them?
Doctor
Ay, my good lord; your royal preparation
Makes us hear something.
MACBETH
Bring it after me.
I will not be afraid of death and bane,
Till Birnam forest come to Dunsinane.
Doctor
[Aside] Were I from Dunsinane away and clear,
Profit again should hardly draw me here.
(Exeunt)


{% extends "layout.html" %} {% block page_title %} Digital Marketplace {% endblock %} {% block content %}
Enter the name to be referred to on the Digital Marketplace
Must be between 10 and 50 characters


{$pageName="tools"} {include="includes"}
{include="page.header"}You can easily bookmark links from anywhere on the web via bookmarklets right below.
They can be dragged and dropped among your browser's bookmarks. Then, you just have to click on them from your bookmarks menu.


| | |
- Atom3d
- PDBFile
- TypedList
-
- molChain
-
- Protein
- molMol
- molResidue
-
- AminoAcid
class AminoAcid(molResidue) |
| | |
- Method resolution order:
- AminoAcid
- molResidue
- TypedList
Methods defined here:
- assign_radii(self)
- chi1(self)
- chi2(self)
- chi3(self)
- chi4(self)
Methods inherited from molResidue:
- __init__(self, name='', atoms=None, **kw)
- atom_coordinates(self, *names)
- returns coordinates of named atoms.
If names is omitted all atom coordinates are returned.
- atoms(self)
- Returns a list of atoms within the molResidue list.
- atoms_not_with_name(self, *names)
- returns atoms in residue excluding specified names
- atoms_with_name(self, *names)
- returns atoms in residue with specified names
- delete_atoms_with_name(self, *names)
- delete atoms in residue with specified names
- has_atom(self, name)
- returns true if residue has an atom named 'name'
- num_atoms(self)
- returns the number of atoms in residue
- type(self)
Methods inherited from TypedList:
- __add__(self, other)
- Adds a list to a TypedList, as long as it's of the same type.
- __copy__(self)
- Returns a copy of a TypedList.
- __deepcopy__ = __copy__(self)
- Returns a copy of a TypedList.
- __delitem__(self, i)
- Removes an item from the TypedList.
- __delslice__(self, i, j)
- Deleted a slice of items located between indices i and j.
- __getitem__(self, i)
- Returns an item from the TypedList located at index i.
- __getslice__(self, i, j)
- Returns a slice of the typed list between indexes i and j.
- __len__(self)
- Returns the length of the TypedList.
- __mul__(self, other)
- Multiply set of elements and another, and store in new.elements.
- __repr__(self)
- Returns a printable representation of the TypedList.
- __rmul__ = __mul__(self, other)
- Multiply set of elements and another, and store in new.elements.
- __setitem__(self, i, v)
- Sets item at index i to the value of v.
- __setslice__(self, i, j, v)
- Sets the value of a slice of items between i and j to v.
- __str__(self)
- Returns all elements of the TypedList.
- append(self, el)
- Add an element to the TypedList.
- clone = __copy__(self)
- Returns a copy of a TypedList.
- count(self, el)
- Returns the number of elements in a TypedList.
- extend(self, els)
- Add an attribute to an element in a TypedList.
- index(self, el)
- Return an index if the items in a TypedList.
- indices(self, len=<built-in function len>)
- Returns the length of a range of indices.
- insert(self, pos, el)
- Insert an element in a TypedList at position pos.
- pop(self)
- Remove the last element in a TypedList.
- remove(self, el)
- Remove an element from a TypedList.
- reverse(self)
- Reverse the order of elements in a TypedList.
- reverse_indices(self, len=<built-in function len>)
- Reverses indices of elements in a TypedList.
- sort(self)
- Sort the elements in a TypedList.
|
class Atom3d |
| |
A TypedList class for atoms with 3-D coordinates. |
| |
Methods defined here:
- __copy__ = clone(self)
- __init__(self, x, y, z, cnf={})
- __repr__(self)
- Formats atom coordinates into a printable format.
- __str__ = __repr__(self)
- angle(self, a, b, sqrt=<built-in function sqrt>, acos=<built-in function acos>)
- clone(self)
- Creates a copy of the Atom3d list.
- coords(self)
- Returns the 3-D coordinates of an atom.
- distance(self, other, sqrt=<built-in function sqrt>)
- Calculate the distance between an atom and a specified other.
- set_coords(self, x, y=None, z=None)
- Sets the 3-D coordinates of an atom.
- sqr_distance(self, other)
- torsion(self, a, b, c, sqrt=<built-in function sqrt>, acos=<built-in function acos>)
- xcoord(self, v=None)
- Returns the x-coordinate of an atom.
- ycoord(self, v=None)
- Returns the y-coordinate of an atom.
- zcoord(self, v=None)
- Returns the z-coordinate of an atom.
|
class PDBFile |
| |
Contains methods for reading chains from a PDB File. |
| |
Methods defined here:
- __init__(self, filename)
- read(self, as_protein=0, as_rna=0, as_dna=0)
- read_chain(self, as_protein=0, as_rna=0, as_dna=0)
|
class Protein(molChain) |
| |
A TypedList containing Proteins, set by `_is_a_protein`. |
| |
- Method resolution order:
- Protein
- molChain
- TypedList
Methods defined here:
- backbone_atoms(self, *ids)
- If the atom name matches any in bb_atoms, make a new residue and add to a chain.
- chi1(self, i)
- chi2(self, i)
- chi3(self, i)
- chi4(self, i)
- clean(self)
- clean() - remove residues if they lack N, CA, or C atoms
- codes(self, phi=None, psi=None, ome=None, mcodes=None)
- Executes the rc_codes method on a protein.
- gaps(self)
- gaps() - identify gaps in the chain
This function does a simple check to determine whether CA atoms are
contiguous in the peptide chain. First it, checks that CA atoms
exist for all residues. If that's okay, it checks to see if the
distance is less than 18**0.5 A. If either of these checks fail,
residues involved in a gap have their .gap attribute set to true.
- omega(self, i)
- omega(i) - calculate omega torsion for index i
This function calcualtes the value of the omega torsion for
index i. Note: this value is widely calculated using atoms
CA(i-1), C(i-1), N(i), and CA(i). These atoms are used for
this calculation. However, other LINUS programs use the fllowing
atoms: CA(i), C(i), N(i+1), CA(i+1). Forewarned is forearmed.
- phi(self, i)
- pross(self, phi=None, psi=None, ome=None, mcodes=None)
- Executes the rc_ss method on a protein.
- psi(self, i)
- sequence(self, one=0)
- Returns a protein sequence.
- torsions(self, i=None, map=<built-in function map>)
- type(self)
Methods inherited from molChain:
- __init__(self, name='', residues=None, **kw)
- assign_radii(self)
- Assigns the radius of residues in a molChain
- atom_coordinates(self, *names)
- returns coordinates of named atoms. if names is None
all atom coordinates are returned.
- atoms(self)
- returns a python list of atoms in a residue.
- atoms_not_with_name(self, *names)
- returns atoms in residue excluding specified names
- atoms_with_name(self, *names)
- Returns a list of atoms that match the specified names.
- delete_alt_locs(self)
- delete_alt_locs - remove secondary conformations in the chain
In a chain with multiple occupancy and alternate location identifiers,
it is often desirable to eliminate the secondary conformations for
use in simulation, etc. This function (abitrarily) finds and selects
the first given conformation and deletes all other conformations.
- delete_atoms_with_name(self, *names)
- delete atoms in residue with specified names
- delete_hetero(self)
- delete all hetero atoms from a protein
This function removes all HETATM records from the molecular
structure. This include waters, heme groups, as well as residues
with nonstandard structures
- delete_residues_with_name(self, *names)
- delete specified residues from Chain
- delete_waters(self)
- Delete water molecules from residues in the molChain.
- num_atoms(self)
- Returns the number of atoms in each residue within a chain.
- num_residues(self)
- Returns the number of residues within a chain.
- preserve_chain_hetero(self)
- prevent hetero residues from being deleted as hetero atoms
Normally, delete_hetero will delete all hetero atoms from a
molecule. This includes waters and heterogroups (hemes, etc.),
but it also includes hetero residues--nonstandard residues
that have backbone connectivity but perhaps extra atoms (e.g.
S-hydroxy-cysteine). Deleting these residues may disrupt an
otherwise continuous chain and may be undesirable.
Given that a chain has a valid SEQRES entry, this function will
'unset' the hetero flag for heterogroups that are involved in
the sequence itself. When delete_hetero is run, these atoms
will be preserved.
- residues_not_with_name(self, *names)
- returns residues excluding specified names as a python list
- residues_with_name(self, *names)
- returns specified residues as a python list
- rotatex(self, theta)
- Rotates residues in the molChain by the X-axis.
- rotatey(self, theta)
- Rotates residues in the molChain by the Y-axis.
- rotatez(self, theta)
- Rotates residues in the molChain by the Z-axis.
- translate(self, dx, dy=None, dz=None)
Methods inherited from TypedList:
- __add__(self, other)
- Adds a list to a TypedList, as long as it's of the same type.
- __copy__(self)
- Returns a copy of a TypedList.
- __deepcopy__ = __copy__(self)
- Returns a copy of a TypedList.
- __delitem__(self, i)
- Removes an item from the TypedList.
- __delslice__(self, i, j)
- Deleted a slice of items located between indices i and j.
- __getitem__(self, i)
- Returns an item from the TypedList located at index i.
- __getslice__(self, i, j)
- Returns a slice of the typed list between indexes i and j.
- __len__(self)
- Returns the length of the TypedList.
- __mul__(self, other)
- Multiply set of elements and another, and store in new.elements.
- __repr__(self)
- Returns a printable representation of the TypedList.
- __rmul__ = __mul__(self, other)
- Multiply set of elements and another, and store in new.elements.
- __setitem__(self, i, v)
- Sets item at index i to the value of v.
- __setslice__(self, i, j, v)
- Sets the value of a slice of items between i and j to v.
- __str__(self)
- Returns all elements of the TypedList.
- append(self, el)
- Add an element to the TypedList.
- clone = __copy__(self)
- Returns a copy of a TypedList.
- count(self, el)
- Returns the number of elements in a TypedList.
- extend(self, els)
- Add an attribute to an element in a TypedList.
- index(self, el)
- Return an index if the items in a TypedList.
- indices(self, len=<built-in function len>)
- Returns the length of a range of indices.
- insert(self, pos, el)
- Insert an element in a TypedList at position pos.
- pop(self)
- Remove the last element in a TypedList.
- remove(self, el)
- Remove an element from a TypedList.
- reverse(self)
- Reverse the order of elements in a TypedList.
- reverse_indices(self, len=<built-in function len>)
- Reverses indices of elements in a TypedList.
- sort(self)
- Sort the elements in a TypedList.
|
class TypedList |
| |
A Python list restricted to having objects of the same type.
An instance of a TypedList is created as follows:
mylist = TypedList(function, [elements])
where function is a python function which takes an argument
and returns 1 or 0 indicating whether the object represented
by the argument is of the correct type, and elements is an optional
list of elements to be added into the instance. Here is a
full blown example.
def is_int(o):
return type(o) == type(0)
mylist = TypedList(is_int, [0, 1, 2, 3])
New elements are added to the list as follows:
mylist.append(25)
Instances of TypedList support all operations available for
Python Lists (as of Python version 1.5.2a2) |
| |
Methods defined here:
- __add__(self, other)
- Adds a list to a TypedList, as long as it's of the same type.
- __copy__(self)
- Returns a copy of a TypedList.
- __deepcopy__ = __copy__(self)
- __delitem__(self, i)
- Removes an item from the TypedList.
- __delslice__(self, i, j)
- Deleted a slice of items located between indices i and j.
- __getitem__(self, i)
- Returns an item from the TypedList located at index i.
- __getslice__(self, i, j)
- Returns a slice of the typed list between indexes i and j.
- __init__(self, function, elements=None)
- __len__(self)
- Returns the length of the TypedList.
- __mul__(self, other)
- Multiply set of elements and another, and store in new.elements.
- __repr__(self)
- Returns a printable representation of the TypedList.
- __rmul__ = __mul__(self, other)
- __setitem__(self, i, v)
- Sets item at index i to the value of v.
- __setslice__(self, i, j, v)
- Sets the value of a slice of items between i and j to v.
- __str__(self)
- Returns all elements of the TypedList.
- append(self, el)
- Add an element to the TypedList.
- clone = __copy__(self)
- count(self, el)
- Returns the number of elements in a TypedList.
- extend(self, els)
- Add an attribute to an element in a TypedList.
- index(self, el)
- Return an index if the items in a TypedList.
- indices(self, len=<built-in function len>)
- Returns the length of a range of indices.
- insert(self, pos, el)
- Insert an element in a TypedList at position pos.
- pop(self)
- Remove the last element in a TypedList.
- remove(self, el)
- Remove an element from a TypedList.
- reverse(self)
- Reverse the order of elements in a TypedList.
- reverse_indices(self, len=<built-in function len>)
- Reverses indices of elements in a TypedList.
- sort(self)
- Sort the elements in a TypedList.
|
class molChain(TypedList) |
| |
A TypedList containing only items of the chain
type, set with `is_a_chain` |
| |
Methods defined here:
- __init__(self, name='', residues=None, **kw)
- assign_radii(self)
- Assigns the radius of residues in a molChain
- atom_coordinates(self, *names)
- returns coordinates of named atoms. if names is None
all atom coordinates are returned.
- atoms(self)
- returns a python list of atoms in a residue.
- atoms_not_with_name(self, *names)
- returns atoms in residue excluding specified names
- atoms_with_name(self, *names)
- Returns a list of atoms that match the specified names.
- delete_alt_locs(self)
- delete_alt_locs - remove secondary conformations in the chain
In a chain with multiple occupancy and alternate location identifiers,
it is often desirable to eliminate the secondary conformations for
use in simulation, etc. This function (abitrarily) finds and selects
the first given conformation and deletes all other conformations.
- delete_atoms_with_name(self, *names)
- delete atoms in residue with specified names
- delete_hetero(self)
- delete all hetero atoms from a protein
This function removes all HETATM records from the molecular
structure. This include waters, heme groups, as well as residues
with nonstandard structures
- delete_residues_with_name(self, *names)
- delete specified residues from Chain
- delete_waters(self)
- Delete water molecules from residues in the molChain.
- num_atoms(self)
- Returns the number of atoms in each residue within a chain.
- num_residues(self)
- Returns the number of residues within a chain.
- preserve_chain_hetero(self)
- prevent hetero residues from being deleted as hetero atoms
Normally, delete_hetero will delete all hetero atoms from a
molecule. This includes waters and heterogroups (hemes, etc.),
but it also includes hetero residues--nonstandard residues
that have backbone connectivity but perhaps extra atoms (e.g.
S-hydroxy-cysteine). Deleting these residues may disrupt an
otherwise continuous chain and may be undesirable.
Given that a chain has a valid SEQRES entry, this function will
'unset' the hetero flag for heterogroups that are involved in
the sequence itself. When delete_hetero is run, these atoms
will be preserved.
- residues_not_with_name(self, *names)
- returns residues excluding specified names as a python list
- residues_with_name(self, *names)
- returns specified residues as a python list
- rotatex(self, theta)
- Rotates residues in the molChain by the X-axis.
- rotatey(self, theta)
- Rotates residues in the molChain by the Y-axis.
- rotatez(self, theta)
- Rotates residues in the molChain by the Z-axis.
- translate(self, dx, dy=None, dz=None)
- type(self)
- Returns the type of the molChain. Should always be `Chain`
Methods inherited from TypedList:
- __add__(self, other)
- Adds a list to a TypedList, as long as it's of the same type.
- __copy__(self)
- Returns a copy of a TypedList.
- __deepcopy__ = __copy__(self)
- Returns a copy of a TypedList.
- __delitem__(self, i)
- Removes an item from the TypedList.
- __delslice__(self, i, j)
- Deleted a slice of items located between indices i and j.
- __getitem__(self, i)
- Returns an item from the TypedList located at index i.
- __getslice__(self, i, j)
- Returns a slice of the typed list between indexes i and j.
- __len__(self)
- Returns the length of the TypedList.
- __mul__(self, other)
- Multiply set of elements and another, and store in new.elements.
- __repr__(self)
- Returns a printable representation of the TypedList.
- __rmul__ = __mul__(self, other)
- Multiply set of elements and another, and store in new.elements.
- __setitem__(self, i, v)
- Sets item at index i to the value of v.
- __setslice__(self, i, j, v)
- Sets the value of a slice of items between i and j to v.
- __str__(self)
- Returns all elements of the TypedList.
- append(self, el)
- Add an element to the TypedList.
- clone = __copy__(self)
- Returns a copy of a TypedList.
- count(self, el)
- Returns the number of elements in a TypedList.
- extend(self, els)
- Add an attribute to an element in a TypedList.
- index(self, el)
- Return an index if the items in a TypedList.
- indices(self, len=<built-in function len>)
- Returns the length of a range of indices.
- insert(self, pos, el)
- Insert an element in a TypedList at position pos.
- pop(self)
- Remove the last element in a TypedList.
- remove(self, el)
- Remove an element from a TypedList.
- reverse(self)
- Reverse the order of elements in a TypedList.
- reverse_indices(self, len=<built-in function len>)
- Reverses indices of elements in a TypedList.
- sort(self)
- Sort the elements in a TypedList.
|
class molMol(TypedList) |
| |
A typed list containing only molecule objects,
as set by `is_a_mol |
| |
Methods defined here:
- __init__(self, name='', chains=None)
- assign_radii(self)
- Assign the radius of each of the chains in the molMol TypedList.
- atom_coordinates(self, *names)
- Returns a python list with the coordinates of specified atoms.
- atoms(self)
- Returns a list of the atoms in the molMol list.
- atoms_not_with_name(self, *names)
- returns atoms in assembly excluding specified names
- atoms_with_name(self, *names)
- Returns a list of atoms named with specified names.
- chains_with_name(self, *names)
- Returns each of the chains named with specified names.
- delete_alt_locs(self)
- delete_alt_locs - remove all secondary conformations
- delete_atoms_with_name(self, *names)
- delete atoms in assembly with specified names
- delete_hetero(self)
- Executes the delete_hetero method on chains in the molMol TypedList.
- delete_water(self)
- Delete the water molecules from chains in the molMol TypedList.
- num_atoms(self)
- Returns the number of atoms in each of the chains in the molMol list.
- num_chain(self)
- Returns the number of chains in the molMol list.
- num_res(self)
- Returns the number of residues in each of the chains in the molMol list.
- pdb(self, file, renum=0, seq=1)
- pdb(file, renum=0, seq=1) - write a PDB file
Given a file name/open file handle (with .gz option), this function
will write the PDB coordinate file corresponding to the current
molecular object. If renum is true, then residue indices will be
renumbered starting from 1, if seq is true, then SEQRES records
will be written in the PDB file.
This function is a wrapper for pdbout.write_pdb.
- preserve_chain_hetero(self)
- Executes the preserve_chain_hetero method on chains in the molMol TypedList.
- residues_with_name(self, *names)
- Returns each of the residues named with specified names.
Methods inherited from TypedList:
- __add__(self, other)
- Adds a list to a TypedList, as long as it's of the same type.
- __copy__(self)
- Returns a copy of a TypedList.
- __deepcopy__ = __copy__(self)
- Returns a copy of a TypedList.
- __delitem__(self, i)
- Removes an item from the TypedList.
- __delslice__(self, i, j)
- Deleted a slice of items located between indices i and j.
- __getitem__(self, i)
- Returns an item from the TypedList located at index i.
- __getslice__(self, i, j)
- Returns a slice of the typed list between indexes i and j.
- __len__(self)
- Returns the length of the TypedList.
- __mul__(self, other)
- Multiply set of elements and another, and store in new.elements.
- __repr__(self)
- Returns a printable representation of the TypedList.
- __rmul__ = __mul__(self, other)
- Multiply set of elements and another, and store in new.elements.
- __setitem__(self, i, v)
- Sets item at index i to the value of v.
- __setslice__(self, i, j, v)
- Sets the value of a slice of items between i and j to v.
- __str__(self)
- Returns all elements of the TypedList.
- append(self, el)
- Add an element to the TypedList.
- clone = __copy__(self)
- Returns a copy of a TypedList.
- count(self, el)
- Returns the number of elements in a TypedList.
- extend(self, els)
- Add an attribute to an element in a TypedList.
- index(self, el)
- Return an index if the items in a TypedList.
- indices(self, len=<built-in function len>)
- Returns the length of a range of indices.
- insert(self, pos, el)
- Insert an element in a TypedList at position pos.
- pop(self)
- Remove the last element in a TypedList.
- remove(self, el)
- Remove an element from a TypedList.
- reverse(self)
- Reverse the order of elements in a TypedList.
- reverse_indices(self, len=<built-in function len>)
- Reverses indices of elements in a TypedList.
- sort(self)
- Sort the elements in a TypedList.
|
class molResidue(TypedList) |
| |
A TypedList containing only objects of the residue
type, set with `is_a_residue` |
| |
Methods defined here:
- __init__(self, name='', atoms=None, **kw)
- assign_radii(self)
- atom_coordinates(self, *names)
- returns coordinates of named atoms.
If names is omitted all atom coordinates are returned.
- atoms(self)
- Returns a list of atoms within the molResidue list.
- atoms_not_with_name(self, *names)
- returns atoms in residue excluding specified names
- atoms_with_name(self, *names)
- returns atoms in residue with specified names
- delete_atoms_with_name(self, *names)
- delete atoms in residue with specified names
- has_atom(self, name)
- returns true if residue has an atom named 'name'
- num_atoms(self)
- returns the number of atoms in residue
- type(self)
Methods inherited from TypedList:
- __add__(self, other)
- Adds a list to a TypedList, as long as it's of the same type.
- __copy__(self)
- Returns a copy of a TypedList.
- __deepcopy__ = __copy__(self)
- Returns a copy of a TypedList.
- __delitem__(self, i)
- Removes an item from the TypedList.
- __delslice__(self, i, j)
- Deleted a slice of items located between indices i and j.
- __getitem__(self, i)
- Returns an item from the TypedList located at index i.
- __getslice__(self, i, j)
- Returns a slice of the typed list between indexes i and j.
- __len__(self)
- Returns the length of the TypedList.
- __mul__(self, other)
- Multiply set of elements and another, and store in new.elements.
- __repr__(self)
- Returns a printable representation of the TypedList.
- __rmul__ = __mul__(self, other)
- Multiply set of elements and another, and store in new.elements.
- __setitem__(self, i, v)
- Sets item at index i to the value of v.
- __setslice__(self, i, j, v)
- Sets the value of a slice of items between i and j to v.
- __str__(self)
- Returns all elements of the TypedList.
- append(self, el)
- Add an element to the TypedList.
- clone = __copy__(self)
- Returns a copy of a TypedList.
- count(self, el)
- Returns the number of elements in a TypedList.
- extend(self, els)
- Add an attribute to an element in a TypedList.
- index(self, el)
- Return an index if the items in a TypedList.
- indices(self, len=<built-in function len>)
- Returns the length of a range of indices.
- insert(self, pos, el)
- Insert an element in a TypedList at position pos.
- pop(self)
- Remove the last element in a TypedList.
- remove(self, el)
- Remove an element from a TypedList.
- reverse(self)
- Reverse the order of elements in a TypedList.
- reverse_indices(self, len=<built-in function len>)
- Reverses indices of elements in a TypedList.
- sort(self)
- Sort the elements in a TypedList.
| |


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{% endblock %}
{% block nav-trees %}class="active"{% endblock %}
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