{% extends 'explorer/base.html' %} {% load static i18n %} {% block title %}{% trans "Observation Status" %}{% endblock %} {% block mission-class %}{%endblock%} {% block main-body %}
{{activity.desc}}
{% endfor %}We have 4 movies starring Serol which explore robotic telescopes, the life of exploding stars and Solar Sytem mysteries.
or try the Serol Video Game
{% trans "loading..."%}


Runs List of all runs
Runs
Click on a run to see the corresponding plots.
| Run ID | User | Active | Simulation | Timestamp |
|---|
{% extends "app/base_site.html" %} {% block title %} Dashboard 1 {% endblock title %} {% block stylesheets %} {{ block.super }} {% endblock stylesheets %} {% block sidebar_class %}nav-md menu_fixed{% endblock sidebar_class %} {% block content %}
Click on a run to see the corresponding plots.
| Run ID | User | Active | Simulation | Timestamp |
|---|


| 08:30 |
Registration
Art "biideal designer" Pai
|
| 09:30 |
Welcome
Art "biideal designer" Pai
|
| 10:00 |
The Python Paradox
Art "biideal designer" Pai
|
| 11:00 |
Break
Art "biideal designer" Pai
|
| 11:30 |
Datacenter and Cluster Management @ Facebook
Art "biideal designer" Pai
|
| 12:30 |
Flasky Goodness |
Denormalizing the Django ORM |
Python in banking |
| 13:00 |
Lunch |
| 14:00 |
All-Singing All-Dancing Python Bytecode |
A Better Future with Python |
Python Careers |
| 15:00 |
Applied Buildout |
Beautiful python code |
How to Lose Friends and Influence Burnout |
| 15:30 |
Break |
| 16:00 |
Marconi: Queuing and Notification service for OpenStack |
Gccpy - Python Front-end to GCC |
CANCELLED: RestFS internals |
| 17:00 |
Contributing to OpenStack |
CPython objects implementation pearls |
Heroku 101 |
| 17:30 |
Lightning Talks |
| 18:30 |
Mathematics, Data structures & Artificial Intelligence (A celebration of Python) |
| 19:00 |
Dinner |
| 20:00 |
Entertainment |


Chart.js 2.0 introduced the concept of controllers for each dataset. Like scales, new controllers can be written as needed.
class MyType extends Chart.DatasetController {}
Chart.register(MyType);
// Now we can create a new instance of our chart, using the Chart.js API
new Chart(ctx, {
// this is the string the constructor was registered at, ie Chart.controllers.MyType
type: "MyType",
data: data,
options: options,
});
Dataset controllers must implement the following interface.
{
// Defaults for charts of this type
defaults: {
// If set to `false` or `null`, no dataset level element is created.
// If set to a string, this is the type of element to create for the dataset.
// For example, a line create needs to create a line element so this is the string 'line'
datasetElementType: string | null | false,
// If set to `false` or `null`, no elements are created for each data value.
// If set to a string, this is the type of element to create for each data value.
// For example, a line create needs to create a point element so this is the string 'point'
dataElementType: string | null | false,
}
// ID of the controller
id: string;
// Update the elements in response to new data
// @param mode : update mode, core calls this method using any of `'active'`, `'hide'`, `'reset'`, `'resize'`, `'show'` or `undefined`
update: function(mode) {}
}
The following methods may optionally be overridden by derived dataset controllers.
{
// Draw the representation of the dataset. The base implementation works in most cases, and an example of a derived version
// can be found in the line controller
draw: function() {},
// Initializes the controller
initialize: function() {},
// Ensures that the dataset represented by this controller is linked to a scale. Overridden to helpers.noop in the polar area and doughnut controllers as these
// chart types using a single scale
linkScales: function() {},
// Parse the data into the controller meta data. The default implementation will work for cartesian parsing, but an example of an overridden
// version can be found in the doughnut controller
parse: function(start, count) {},
}
Extending or replacing an existing controller type is easy. Simply replace the constructor for one of the built in types with your own.
The built in controller types are:
BarController
BubbleController
DoughnutController
LineController
PieController
PolarAreaController
RadarController
ScatterController
These controllers are also available in the UMD package, directly under Chart
. Eg: Chart.BarController
.
For example, to derive a new chart type that extends from a bubble chart, you would do the following.
import {BubbleController} from 'chart.js';
class Custom extends BubbleController {
draw() {
// Call bubble controller method to draw all the points
super.draw(arguments);
// Now we can do some custom drawing for this dataset. Here we'll draw a red box around the first point in each dataset
const meta = this.getMeta();
const pt0 = meta.data[0];
const {x, y} = pt0.getProps(['x', 'y']);
const {radius} = pt0.options;
const ctx = this.chart.ctx;
ctx.save();
ctx.strokeStyle = 'red';
ctx.lineWidth = 1;
ctx.strokeRect(x - radius, y - radius, 2 * radius, 2 * radius);
ctx.restore();
}
});
Custom.id = 'derivedBubble';
Custom.defaults = BubbleController.defaults;
// Stores the controller so that the chart initialization routine can look it up
Chart.register(Custom);
// Now we can create and use our new chart type
new Chart(ctx, {
type: 'derivedBubble',
data: data,
options: options
});
If you want your new chart type to be statically typed, you must provide a .d.ts
TypeScript declaration file. Chart.js provides a way to augment built-in types with user-defined ones, by using the concept of “declaration merging”.
When adding a new chart type, ChartTypeRegistry
must contains the declarations for the new type, either by extending an existing entry in ChartTypeRegistry
or by creating a new one.
For example, to provide typings for a new chart type that extends from a bubble chart, you would add a .d.ts
containing:


YouTubers must now identify videos that are made for children
by Shereesa MoodleyIn an email to creators on Thursday, YouTube revealed that YouTubers must now identify videos created for children using a new audience setting.
“Starting today, all creators are required to tell us if their content is made for kids in order to comply with the Children’s Online Privacy Protection Act,” the company said.
In the YouTube Studio, creators can now change their audience setting according to how much content is made for kids on a video or channel level.
Creators can choose from “no” kids content to a “mixture” and even “alot of” content directed at children.
“We’ll also use machine learning systems to help us find content that is clearly made for kids,” YouTube further said.
The change comes after the company was fined for child safety violations earlier this year, where the US Federal Trade Commission (FTC) found that YouTube was collecting user data from children.
Additionally, YouTube has also vowed to remove misleading videos that trick families into watching adult content.
Though the new audience settings are part of the company’s settlement with the American FTC, the change applies to all creators on the platform.
“We know this won’t be easy for some creators, and that this required change is going to take some getting used to,” YouTube concluded.
Feature image: Shereesa Moodley/Memeburn


OpenVPN
For security reasons, OpenVPN clients typically have their own unique certificate and private key. The server you will be connecting to has been configured to allow clients to share the same certificate and private key, but you may still wish to give your phone and laptop different keys, for example.
Windows
- Download and run a suitable 32-bit or 64-bit OpenVPN Windows Installer.
- Click Next and accept the license agreement by selecting I Agree.
- Click Next on the Choose Components screen. Leave all of the default options checked.
- Make note of the Destination Folder. This is where you will place the
databox
client configuration profile after installation. Click Install. - A Windows Security notice will appear and ask Would you like to install this device software?. Click Install.
- Click Next on the Installation Complete screen.
- Uncheck Show Readme and click Finish.
- Right-click on the OpenVPN GUI desktop icon and choose Properties.
- Go to the Compatibility tab and click the Run this program as an administrator checkbox in the Privilege Level section.
- Double-click the OpenVPN GUI desktop icon to launch the application.
- Download OpenVPN profile
- Open the config directory that is located in the Destination Folder. For most users, this will either be in C:\Program Files\OpenVPN\config or C:\Program Files (x86)\OpenVPN\config. You will see a single README file in this directory.
- Drag and drop the downloaded
databox
file to this location alongside the README. - Right-click on the OpenVPN icon in your taskbar and choose Connect.
- You will see a log scroll by as the connection is established, followed by a taskbar notification indicating your assigned IP.
- Success! You can verify that your traffic is being routed properly by looking up your IP address on Google. It should say Your public IP address is <IP_ADDRESS>.
OS X
- Download and open Tunnelblick.
- Type your password to allow the installation process to complete, and click OK.
- Click Launch after the installation is finished.
- Click I have configuration files.
- Download OpenVPN profile
- Double-click the OpenVPN profile.
- You will be asked to choose whether the profile should be available for all users or only the current user. After making your selection, you will be asked to enter your password.
- Look for the Tunnelblick icon in your menu bar. Click on it, and choose Connect.
- Success! You can verify that your traffic is being routed properly by looking up your IP address on Google. It should say Your public IP address is <IP_ADDRESS>.
Linux
- Install OpenVPN:
sudo apt-get install openvpn
OR sudo yum install openvpn
OR esoteric-package-manager hipster openvpn
OR other platform.
- If installing OpenVPN via your package manager is not an option, you can also download and compile the OpenVPN source code.
- Download OpenVPN profile
- Copy the downloaded
databox
file to the location of your choice. /etc/openvpn/ is a decent option. - On some distributions, the pushed DHCP DNS option from the OpenVPN server will be ignored. This means that your DNS queries will still be routed through your ISP's servers which makes them vulnerable to what is known as a DNS leak.
- You can test whether or not your DNS is leaking here.
- You can ensure that the correct DNS servers are used by adding the following lines to the top of the
databox
file:script-security 2
up /etc/openvpn/update-resolv-conf
down /etc/openvpn/update-resolv-conf
-
Change direction to the profile location, execute OpenVPN, and pass it the .ovpn profile as an option:
sudo openvpn databox
-
Success! You can verify that your traffic is being routed properly by looking up your IP address on Google. It should say Your public IP address is <IP_ADDRESS>.
Android
- Install OpenVPN for Android.
- Download OpenVPN profile
- Copy the
databox
file to your phone. - Launch OpenVPN for Android.
- Tap the folder icon in the lower-right of the screen.
- Select the
databox
profile that you copied to your phone. - Tap the save icon (floppy disk) in the lower-right of the screen after the import is complete.
- Tap the profile.
- Accept the Android VPN connection warning.
- Success! You can verify that your traffic is being routed properly by looking up your IP address on Google. It should say Your public IP address is <IP_ADDRESS>.
iOS
- Download OpenVPN Connect and launch it.
- Download OpenVPN profile
- Open iTunes on your computer and connect your phone.
- Select your phone, click on the Apps tab, and find OpenVPN under the File Sharing section.
- Drag and drop the downloaded
databox
file into the file sharing window. - OpenVPN on your phone will say that 1 new OpenVPN profile is available for import.
- Tap the green + button to import the profile.
- Tap the slider to connect to the OpenVPN server.
- Success! You can verify that your traffic is being routed properly by looking up your IP address on Google. It should say Your public IP address is <IP_ADDRESS>.


The maned wolf is the largest canid of South America
The maned wolf is the largest canid of South America. Its markings resemble those of foxes, but it is not a fox, nor is it a wolf, as it is not closely related to other canids. It is the only species in the genus Chrysocyon (meaning "golden dog"). The maned wolf is the tallest of the wild canids; its long legs are likely an adaptation to the tall grasslands of its native habitat.
Fur of the maned wolf may be reddish brown to golden orange on the sides with long, black legs, and a distinctive black mane. The coat is marked further with a whitish tuft at the tip of the tail and a white "bib" beneath the throat.
The mane is erectile, and typically, is used to enlarge the wolf's profile when threatened or when displaying aggression. Melanistic maned wolves do exist, but are rare. The maned wolf also is known for the distinctive odor of its territory markings, which has earned it the nickname "skunk wolf."


home

explanation

contact

Contact Details:
web designer: Ankit Kumar Chauhan
Qualification: B.Tech Student
Country: INDIA
For any suggestion or Help e-mail me at
chauhanankit149@gmail.com


TEDxTaipeiAmericanSchool is organized and run by a student group. Our group of student organizers meet regularly to brainstorm and plan event details.
In the spirit of ideas worth spreading, TED has created a program called TEDx. TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. Our event is called TEDxTaipeiAmericanSchool, where x = independently organized TED event. At our TEDxTaipeiAmericanSchool event, TEDTalks video and live speakers will combine to spark deep discussion and connection in a small group. The TED Conference provides general guidance for the TEDx program, but individual TEDx events, including ours, are self-organized.
Read this year's program →


Darling, You're Enumerable
#MAPS!
April 12, 2015
So for this week's tech blog, I chose the enumerable method #map. I chose it because I see it coming up often, it seems to be used frequently, and can be very versatile. So in order to increase my understanding of it, I have decided to write to help others with it as well. Two birds, one stone. David A. Black in The Well Grounded Rubyist says:
"The #map method (also callable as collect) is one of the most powerful and important enumberable or collection operations in Ruby.
Well, that seems like a good enough reason for me. MAP seems to be a great method when you want to look at or change each thing in an array. It will return an array the same size as the original array used, then can change it depending on how you tweak it with something like a block. It runs each element through the command in the block. See? Pretty powerful. Really - you can use it to upcase, downcase, math, sorting, and more. You may ask 'But isn't that what .each does?' David A. Black answers that by saying that map will instead return a NEW object while each returns its receiver. So so there? Why .each also now uses return? However, you can make map destructive with a bang(!).
Verbs = ['rules', 'rocks', 'slays']This will return us something that looks like this:
array_of_odoyles = verbs.map do |verb|
"O'Doyle #{verbs}"
end
[ 'O'Doyle rules', 'O'Doyle rocks', 'O'Doyle slays']
So the map looked at each verb in that array, then looked at the block and saw that it wanted to add something across the array to each string, then created us a new array with the results. So it is a good method to have a good hold of in ruby since it is a powerful tool in looking over arrays and changing them around. It is good to keep an idea how .map and .each are different, and how all of these methods can help you achieve what kind of output you want.
You can also add it with other methods like select. This will be handy if you want to only modify elements in an array that meet a certain condition. You can lay out the condition, then have map apply the changes. Example:
[1, 2, 3, 4, 5, 6].select { |elm| elm % 2 == 0 }.map { |elm| elm * 2 }
# => [4, 8, 12]
Here it is saying 'Select every element divisible by 2' - hence the == 0 - then take those elements and have each one multiplied by two. It then will return an array of only those numbers.


[§346G-1] Title. [See Note at chapter heading.] This chapter shall be known and may be cited as the "Hospital Sustainability Program Act". [L 2012, c 217, pt of §2, §5; am L 2013, c 141, pt of §1, §2; am L 2014, c 123, §2; am L 2015, c 70, §2; am L 2016, c 60, §3; am L 2017, c 59, §5]


13 years on in music and nothing to boast of not even a car – Dada Hafco
by Adu SarpeahWhile some Ghanaian musicians are feeling, others especially Dada Hafco is seriously bleeding as he can’t boast of anything for doing active music for the past 13 years.
This is because Dada Hafco in an interview with blogger Zion Felix struggled to point out what he has been able to acquire with revenues earned from music. When the interviewer pressed further, the ‘Yebe Wu Nti’ composer said he cannot boast of having a house or a car despite doing music for 13 solid years.
In spite of all the difficulties, Dada Hafco was resolute not to change his style of music. To his best knowledge, things will definitely change for the better. For reasons best known to him, he posited in the interview that he’s ever grateful to Nana Ama McBrown and her husband.
Watch interview below:


66 If the left arrowhead is used to remove the last input slot, the “with inputs” disappears also. The right arrowhead can be clicked as many times as needed for the number of inputs required by the reporter block being called. If the number of inputs given to call (not counting the Reporter-type input that comes ﬁrst) is the same as the number of empty input slots, then the empty slots are ﬁlled from left to right with the given input values. If call is given exactly one input, then every empty input slot of the called block is ﬁlled with the same value: If the number of inputs provided is neither one nor the number of empty slots, then there is no automatic ﬁlling of empty slots. (Instead you must use explicit parameters in the ring, as discussed in Section C below.) An even more important thing to notice about these examples is the ring around the Reporter-type input slots in call and map above. This notation indicates that the block itself, not the number or other value that the block would report when called, is the input. If you want to use a block itself in a non-Reporter-type (e.g., Any-type) input slot, you can enclose it explicitly in a ring, found at the top of the Operators palette. As a shortcut, if you right-click or control-click on a block (such as the + block in this example), one of the choices in the menu that appears is “ringify” and/or “unringify.” The ring indicating a Reporter-type or Predicate-type input slot is essentially the same idea for reporters as the C-shaped input slot with which you’re already familiar; with a C-shaped slot, it’s the script you put in the slot that becomes the input to the C-shaped block. There are three ring shapes. All are oval on the outside, indicating that the ring reports a value, the block or script inside it, but the inside shapes are command, reporter, or predicate, indicating what kind of block or script is expected. Sometimes you want to put something more complicated than a single reporter inside a reporter ring; if so, you can use a script, but the script must report a value, as in a custom reporter deﬁnition. Variables in Ring Slots Note that the run block in the deﬁnition of the my for block (page 65) doesn’t have a ring around its input variable action. When you drag a variable into a ringed input slot, you generally do want to use the value of the variable, which will be the block or script you’re trying to run or call, rather than the orange variable reporter itself. So Snap ! automatically removes the ring in this case. If you ever do want to use the variable block itself, rather than the value of the variable, as a Procedure-type input, you can drag the variable into the input slot, then control-click or right-click it and choose “ringify” from the menu that appears. (Similarly, if you ever want to call a function that will report a block to use as the input, such as item 1 of applied to a list of blocks, you can choose “unringify” from the menu. Almost all the time, though, Snap ! does what you mean without help.) B. Writing Higher Order Procedures A higher order procedure is one that takes another procedure as an input, or that reports a procedure. In this document, the word “procedure” encompasses scripts, individual blocks, and nested reporters. (Unless specified otherwise, “reporter” includes predicates. When the word is capitalized inside a sentence, it means specifically oval-shaped blocks. So, “nested reporters” includes predicates, but “a Reporter-type input” doesn’t.) Although an Any-type input slot (what you get if you use the small input-name dialog box) will accept a procedure input, it doesn’t automatically ring the input as described above. So the declaration of Procedure- type inputs makes the use of your custom higher order block much more convenient.


Text outputs functions. These functions are like printf(), but you should use them instead. Note that you should never try to print a message larger than 10000 characters.
These functions are like printf(), but you should use them instead. Note that you should never try to print a message larger than 10000 characters.
Alphabetic index Hierarchy of classes


User Needs
"I definitely struggled to understand and take advantage of the k-beauty products while I was there" – a friend on her experience shopping for k-beauty in Korea
In talking to my American friends, I found that they want help finding legitimate k-beauty products and brands. Do Korean women actually use these products and brands? What are reputable k-beauty products and brands?
The App
The app has two main functionalities: 1) search function - users search for a specific product or brand and find out whether it's reputable or not. 2) discover function - lets users discover Korea's best products and brands. It'd be nice if users could buy products they like using our app, so I decided to list links to online and offline stores for each product.
Insights from User Testing
After I sketched wireframes on paper, I put together an interactive prototype and shared it with users for feedback.
Some of the mockups I put together for user testing
Insight 1: Users Want a Different Rating System
In designing the product, I had to decide what determines whether a brand or a product is reputable. I decided to have a small panel of normal Korean girls (10 or so) rate brands and products. My reasoning was that since most Korean girls are into skincare and are aware of major skincare brands and products, simply asking a small number of Korean girls would serve as an excellent measure. However, in testing with potential users, I found that they don't consider such a rating system trustworthy.
"The idea of a panel of Korean girls [10 or so] seems like a weak signal of whether a product is reputable, and would not instill much confidence in me as a consumer."
I've learned that users want to rely on the opinions of a few experts e.g. established Korean beauty personalities or many, many normal Korean women. While I still stand by the idea that a small panel of normal Korean women would do an excellent job, I decided not to interfere with users' mental models regarding what constitutes a credible rating system.
So instead of employing a small panel, I decided to aggregate reviews from Korea’s major cosmetics review sites and refer to external resources such as beauty awards to give ratings. In addition, a team of k-beauty experts e.g. beauty editors at major beauty magazines will help pick out best brands.
Insight 2: Users Want to Know More Than Whether Korean Girls Have or Haven’t Heard of It
In my original design, when users search for a product/brand, the app simply told users whether the product/brand is known in Korea.
Search results screens from my original design
After talking to users, I’ve learned that they want to know more than whether a brand or a product is reputable. Users want customized recommendations. For example, “Road Shop” brands are popular in Korea, but they target younger demographics i.e. teenagers and girls in their early 20s. So “Road Shop” products are still reputable, but girls in their late 20s would not want those products recommended to them.
In addition, I’ve learned that users want recommendations to reflect their own needs (e.g. dry skin, acne, wrinkles). This makes sense because skincare is about catering to your own skin concerns.
Based on the insights, I iterated so that the app gives more customized recommendations.
In the new design, when users search for a product/brand, the app gives more detailed reviews so that users can find out whether the product/brand suits their own needs.
In addition, when users search for bestselling products, users can filter products based on their own needs.
Insight 3: Users Want Help Understanding K-Beauty
I was not used to "serum" or "skin milk" and had no idea how to use those” -- a friend on her experience shopping for k-beauty
Some users wanted a short k-beauty guide in a section somewhere. For example, a friend commented that she had no idea how to use “serum” or “skin milk” since she was not used to the terms and would appreciate help understanding the terms.
I was initially hesitant to include an “K-beauty Cheat Sheet” -- I wanted the app to be simple and just serve the core functions.
However, after talking to more potential users, I decided to include the cheat sheet because it has a lot benefit to users, most of whom are not yet familiar with k-beauty. While users can also research the terms elsewhere, the Cheat Sheet allows users to better understand products without leaving the app.
“I like the cheat sheet since it is an emerging market and all of the different terms are overwhelming.”
K-beauty Cheat Sheet
What I’ve Learned
I’ve gathered tremendous insights from talking to users. I had made assumptions about their mental models (e.g. what makes a credible rating system to users), and the assumptions were proved wrong.
Designers often design products where they are not target users. The project has helped me learn to try and think from users’ perspectives and truly design for users.


Class GroupCodesBase
The base class for group codes.
Inheritance
System.Object
GroupCodesBase
Inherited Members
System.Object.Equals(System.Object)
System.Object.Equals(System.Object, System.Object)
System.Object.GetHashCode()
System.Object.GetType()
System.Object.MemberwiseClone()
System.Object.ReferenceEquals(System.Object, System.Object)
System.Object.ToString()
Assembly: Dxflib.dll
Syntax
public class GroupCodesBase
Fields
|
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EndSectionMarker
Declaration
public const string EndSectionMarker = "ENDSEC"
Field Value
| Type |
Description |
| System.String |
|
|
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EntityType
Text string indicating the entity type (fixed)
Declaration
public const string EntityType = " 0"
Field Value
| Type |
Description |
| System.String |
|
|
Improve this Doc
View Source
ExtrusionDirectionX
DXF: X value of extrusion direction
Declaration
public const string ExtrusionDirectionX = "210"
Field Value
| Type |
Description |
| System.String |
|
|
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ExtrusionDirectionY
DXF: Y value of extrusion direction
Declaration
public const string ExtrusionDirectionY = "220"
Field Value
| Type |
Description |
| System.String |
|
|
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ExtrusionDirectionZ
DXF: X value of extrusion direction
Declaration
public const string ExtrusionDirectionZ = "230"
Field Value
| Type |
Description |
| System.String |
|
|
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View Source
Handle
Entity handle; text string of up to 16 hexadecimal digits (fixed)
Declaration
public const string Handle = " 5"
Field Value
| Type |
Description |
| System.String |
|
|
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View Source
HardPointer
Hard-owner handle; arbitrary hard ownership links to other objects within
same DXF file or drawing. Translated during INSERT and XREF operations
Declaration
public const string HardPointer = "360"
Field Value
| Type |
Description |
| System.String |
|
|
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LayerName
Declaration
public const string LayerName = " 8"
Field Value
| Type |
Description |
| System.String |
|
|
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SoftPointer
Soft-pointer handle; arbitrary soft pointers to other objects within
same DXF file or drawing. Translated during INSERT and XREF operations
Declaration
public const string SoftPointer = "330"
Field Value
| Type |
Description |
| System.String |
|
|
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SubclassMarker
Subclass data marker (with derived class name as a string).
Required for all objects and entity classes that are derived from another concrete class
Declaration
public const string SubclassMarker = "100"
Field Value
| Type |
Description |
| System.String |
|
|
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XPoint
DXF: X value of the primary point (followed by Y and Z value codes 20 and 30)
Declaration
public const string XPoint = " 10"
Field Value
| Type |
Description |
| System.String |
|
|
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XPointEnd
DXF: X value of other points (followed by Y value codes 21-28 and Z value codes 31-38)
Declaration
public const string XPointEnd = " 11"
Field Value
| Type |
Description |
| System.String |
|
|
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YPoint
Declaration
public const string YPoint = " 20"
Field Value
| Type |
Description |
| System.String |
|
|
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YPointEnd
Declaration
public const string YPointEnd = " 21"
Field Value
| Type |
Description |
| System.String |
|
|
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ZPoint
Declaration
public const string ZPoint = " 30"
Field Value
| Type |
Description |
| System.String |
|
|
Improve this Doc
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ZPointEnd
Declaration
public const string ZPointEnd = " 31"
Field Value
| Type |
Description |
| System.String |
|


Hi, I'm delanyo agbenyo. I'm a fronted developer. Co-founder at Nelike Digital. It's real nice meeting you. You can read more about me.
Training & Mentoring
I help nice folks learn solid web development skills, understand the concepts, techniques and tools used to create intuitive websites and establish solid workflows. If you're interested in learning get in touch!
Writing
I love documenting about thoughts on life, work and anything in between on my blog.
Recent Articles
Launching my website (It's all fun!) 15 August 2019
Fronted Design & Consulting
I love making cool things on the web, and I aim towards creation of experiences that look and function beautifully across anything that can access the web. If you have a project that can use my fronted skill, please feel free to reach me out.
Thoughtful
Take chances, make mistakes, get messy! — Ms Frizzle


Notifications¶
Slack Notifications¶
To send Slack notifications, you’ll need to have your own Slack app. If you don’t have one, you may follow steps 1 and 2 to create it. Otherwise, please proceed to Step 3.
Note: This module also requires an optional dependency. See Installation for details.
Step 1: Set up a Slack environment to receive messages¶
Create a Slack app
Specify the app Name, such as my_slack_app
Choose a Development Slack Workspace you want to receive messages upon
Click Create App
Go to Building Apps for Slack -> Add features and functionality -> Permissions
In Scopes, click Add an OAuth Scope and add chat:write to Bot Token Scopes
Click Install App to Workspace
Click Allow
Copy Bot User OAuth Access Token as your
slack_api_token
Step 2: Add the Slack app to a Slack channel¶
Make sure you add the Slack app to a public Slack channel via Details -> More -> Add apps on the channel UI. You may locate Details using a circled exclamation mark on its left side.
Step 3: Use Cases¶
You can customize and send any Slack messages by calling
notifications.slack.send_message()
.If you have already created a slack client (NOT your Slack app!), you can directly pass it via the argument slack_client, otherwise you may create one using
WebClient(token=slack_api_token)
notifications.slack.monitor_job()
monitors a single job/operation kicked off by either the UI (using a job ID), or the Tamr-Client (using a Tamr operation). Notifications will stop if 1) the job is resolved, or 2) the timeout is reached. To reduce redundancy, a Slack message will be generated ONLY when the job is established, or the job state gets updated. For example, when a job switches from RUNNING to SUCCEEDED, a slack message including [host_ip, job_id, job_description, job state: SUCCEEDED] will be posted to the public Slack channel which your Slack app joins at STEP 3.You may further customize/limit what job states (e.g., SUCCEEDED, FAILED, CANCELLED, PENDING, RUNNING) you would like to be notified using the argument notify_states.
"""Example script for generating Slack notifications based on Tamr jobs"""
import tamr_toolbox as tbox
from slack import WebClient
from tamr_toolbox.models.operation_state import OperationState
# Make Tamr Client
tamr = tbox.utils.client.create(username="user", password="pw", host="localhost")
# Make Slack Client with your own slack api token, a Bot User token that starts with "xoxb-"
slack_api_token = "xoxb-12345-12345-A1b2C3d4E5"
slack_client = WebClient(token=slack_api_token)
# Send any texts to a Slack channel
tbox.notifications.slack.send_message(
slack_client=slack_client, channel="#test_tbox_messaging", message="This is a test message.",
)
# Use case 1: Track the status updates for a specific job using its job id
tbox.notifications.slack.monitor_job(
tamr=tamr, slack_client=slack_client, channel="#test_tbox_messaging", operation="my_job_id",
)
# Use case 2: Track the status updates for a job kicked off by the tamr-unify-client
project = tamr.projects.by_name("Project_1")
op = project.unified_dataset().refresh(asynchronous=True)
tbox.notifications.slack.monitor_job(
tamr=tamr,
slack_client=slack_client,
channel="#test_tbox_messaging",
operation=op,
notify_states=[OperationState.SUCCEEDED, OperationState.FAILED, OperationState.CANCELED],
)


11 Different Types of Cookies I Have Made
By: Lauren Carroll
Double Chocolate Chip
Peanut Butter Kiss
S'mores
Chocolate Chip Sprinkles
Snickerdoodle
Apple Oat
Snickers
Pumpkin Chocolate Chip
Cookies and Cream
Chocolate Chip
Brown Sugar Oatmeal


St. Patrick Ventures is a privately owned and operated medical consultation company specializing in Healthcare Consultation, Manufacturing, Specialty Distribution, and Investments. Through strategic marketing partnerships with a focus on excellence, we specialize in providing a broad range of the best in class disposable medical devices, instruments, services, investments and patient care products for all medical markets.
At St. Patrick, we strongly believe our success is contingent upon the success of our clients, and it is our responsibility is to ensure that our clients succeed. Our company's unparalleled customer service and expertise has enabled St. Patrick Ventures to have garnered an impressive list of long term partnerships, and hope to continue thriving by fulfilling its founder’s vision of building a global company focused on the best practices in manufacturing and logistics.
An important component of our mission is the support of our clients role as patient advocates. We are dedicated to our clients, and are always offering numerous options that allow them to provide the best available care for their patients. This is completed through St. Patrick Ventures’ ongoing commitment to offering comprehensive programs designed to meet all needs.
New ideas for products, new solutions for customers, and new ways to improve patient health and safety. In other words, a new era in healthcare. Our company is excited about what our future holds, and are looking forward to making you a part of our story. We look forward to Advancing the World of Health with you.


|
Blend two colors together, using the specified factor to indicate the weight
given to the first color
Arguments:
|
code » | ||||
|
Calculate color difference between two colors. Helper method for
goog.color.highContrast()
Arguments:
Returns:
Color difference.
|
code » | ||||
|
Adds black to the specified color, darkening it
Arguments:
|
code » | ||||
|
Converts a hex representation of a color to HSL.
|
code » | ||||
|
Converts a hex representation of a color to HSV
|
code » | ||||
|
Converts a hex representation of a color to RGB.
|
code » | ||||
|
Converts a hex representation of a color to RGB.
|
code » | ||||
|
goog.color.hexTripletRe_()
Regular expression for extracting the digits in a hex color triplet.
|
code » | ||||
|
Find the "best" (highest-contrast) of the suggested colors for the prime
color. Uses W3C formula for judging readability and visual accessibility:
http://www.w3.org/TR/AERT#color-contrast
Arguments:
|
code » | ||||
|
Converts from an hsl array to a hex string
|
code » | ||||
|
Converts a color from HSL color space to RGB color space.
|
code » | ||||
|
Calculates the Euclidean distance between two color vectors on an HSL sphere.
A demo of the sphere can be found at:
http://en.wikipedia.org/wiki/HSL_color_space
In short, a vector for color (H, S, L) in this system can be expressed as
(S*L'*cos(2*PI*H), S*L'*sin(2*PI*H), L), where L' = abs(L - 0.5), and we
simply calculate the 1-2 distance using these coordinates
Arguments:
Returns:
Distance between the two colors, in the range [0, 1].
|
code » | ||||
|
Converts from h,s,l values to a hex string
|
code » | ||||
|
Converts a color from HSL color space to RGB color space.
Modified from {@link http://www.easyrgb.com/math.html}
|
code » | ||||
|
Converts from an HSV array to a hex string
|
code » | ||||
|
Converts an HSV triplet to an RGB array
|
code » | ||||
|
Converts from h,s,v values to a hex string
|
code » | ||||
|
Converts an HSV triplet to an RGB array. V is brightness because b is
reserved for blue in RGB.
|
code » | ||||
|
Helper for hslToRgb.
|
code » | ||||
|
Checks if a string is a normalized hex color.
We expect strings of the format #RRGGBB (ex: #1b3d5f)
using only lowercase letters.
|
code » | ||||
|
Checks if a string is a valid hex color. We expect strings of the format
#RRGGBB (ex: #1b3d5f) or #RGB (ex: #3CA == #33CCAA).
|
code » | ||||
|
Checks if a string is a valid rgb color. We expect strings of the format
'(r, g, b)', or 'rgb(r, g, b)', where each color component is an int in
[0, 255].
|
code » | ||||
|
Adds white to the specified color, lightening it
Arguments:
|
code » | ||||
|
Normalize an hex representation of a color
|
code » | ||||
|
goog.color.normalizedHexColorRe_()
Helper for isNormalizedHexColor_.
|
code » | ||||
|
Parses a color out of a string.
|
code » | ||||
|
Parses red, green, blue components out of a valid rgb color string.
|
code » | ||||
|
Takes a string a prepends a '#' sign if one doesn't exist.
|
code » | ||||
|
Takes a hex value and prepends a zero if it's a single digit.
|
code » | ||||
|
Converts a color from RGB to hex representation.
|
code » | ||||
|
Converts a color from RGB color space to HSL color space.
|
code » | ||||
|
Converts from r,g,b values to an array of HSV values
|
code » | ||||
|
goog.color.rgbColorRe_()
Regular expression for matching and capturing RGB style strings. Helper for
isValidRgbColor_.
|
code » | ||||
|
Takes an array of [r, g, b] and converts it into a string appropriate for
CSS styles.
|
code » | ||||
|
Converts a color from RGB to hex representation.
|
code » | ||||
|
Converts a color from RGB color space to HSL color space.
Modified from {@link http://en.wikipedia.org/wiki/HLS_color_space}.
|
code » | ||||
|
Converts from RGB values to an array of HSV values.
|
code » | ||||
|
goog.color.validHexColorRe_()
Helper for isValidHexColor_.
|
code » | ||||
|
Calculate difference in brightness of two colors. Helper method for
goog.color.highContrast()
Arguments:
Returns:
Brightness difference.
|
code » | ||||
|
Calculate brightness of a color according to YIQ formula (brightness is Y).
More info on YIQ here: http://en.wikipedia.org/wiki/YIQ. Helper method for
goog.color.highContrast()
|
code » |


from statsmodels.compat.python import range
import numpy as np
from scipy.stats import f as fdist
from scipy.stats import t as student_t
from scipy import stats
from statsmodels.tools.tools import clean0, fullrank
from statsmodels.compat.numpy import np_matrix_rank
#TODO: should this be public if it's just a container?
[docs]class ContrastResults(object):
"""
Class for results of tests of linear restrictions on coefficients in a model.
This class functions mainly as a container for `t_test`, `f_test` and
`wald_test` for the parameters of a model.
The attributes depend on the statistical test and are either based on the
normal, the t, the F or the chisquare distribution.
"""
def __init__(self, t=None, F=None, sd=None, effect=None, df_denom=None,
df_num=None, alpha=0.05, **kwds):
self.effect = effect # Let it be None for F
if F is not None:
self.distribution = 'F'
self.fvalue = F
self.df_denom = df_denom
self.df_num = df_num
self.dist = fdist
self.dist_args = (df_num, df_denom)
self.pvalue = fdist.sf(F, df_num, df_denom)
elif t is not None:
self.distribution = 't'
self.tvalue = t
self.statistic = t # generic alias
self.sd = sd
self.df_denom = df_denom
self.dist = student_t
self.dist_args = (df_denom,)
self.pvalue = self.dist.sf(np.abs(t), df_denom) * 2
elif 'statistic' in kwds:
# TODO: currently targeted to normal distribution, and chi2
self.distribution = kwds['distribution']
self.statistic = kwds['statistic']
self.tvalue = value = kwds['statistic'] # keep alias
# TODO: for results instance we decided to use tvalues also for normal
self.sd = sd
self.dist = getattr(stats, self.distribution)
self.dist_args = ()
if self.distribution is 'chi2':
self.pvalue = self.dist.sf(self.statistic, df_denom)
else:
"normal"
self.pvalue = self.dist.sf(np.abs(value)) * 2
# cleanup
# should we return python scalar?
self.pvalue = np.squeeze(self.pvalue)
[docs] def conf_int(self, alpha=0.05):
"""
Returns the confidence interval of the value, `effect` of the constraint.
This is currently only available for t and z tests.
Parameters
----------
alpha : float, optional
The significance level for the confidence interval.
ie., The default `alpha` = .05 returns a 95% confidence interval.
Returns
-------
ci : ndarray, (k_constraints, 2)
The array has the lower and the upper limit of the confidence
interval in the columns.
"""
if self.effect is not None:
# confidence intervals
q = self.dist.ppf(1 - alpha / 2., *self.dist_args)
lower = self.effect - q * self.sd
upper = self.effect + q * self.sd
return np.column_stack((lower, upper))
else:
raise NotImplementedError('Confidence Interval not available')
def __array__(self):
if hasattr(self, "fvalue"):
return self.fvalue
else:
return self.tvalue
def __str__(self):
return self.summary().__str__()
def __repr__(self):
return str(self.__class__) + '\n' + self.__str__()
[docs] def summary(self, xname=None, alpha=0.05, title=None):
"""Summarize the Results of the hypothesis test
Parameters
-----------
xname : list of strings, optional
Default is `c_##` for ## in p the number of regressors
alpha : float
significance level for the confidence intervals. Default is
alpha = 0.05 which implies a confidence level of 95%.
title : string, optional
Title for the params table. If not None, then this replaces the
default title
Returns
-------
smry : string or Summary instance
This contains a parameter results table in the case of t or z test
in the same form as the parameter results table in the model
results summary.
For F or Wald test, the return is a string.
"""
if self.effect is not None:
# TODO: should also add some extra information, e.g. robust cov ?
# TODO: can we infer names for constraints, xname in __init__ ?
if title is None:
title = 'Test for Constraints'
elif title == '':
# don't add any title,
# I think SimpleTable skips on None - check
title = None
# we have everything for a params table
use_t = (self.distribution == 't')
yname='constraints' # Not used in params_frame
if xname is None:
xname = ['c%d'%ii for ii in range(len(self.effect))]
from statsmodels.iolib.summary import summary_params
pvalues = np.atleast_1d(self.pvalue)
summ = summary_params((self, self.effect, self.sd, self.statistic,
pvalues, self.conf_int(alpha)),
yname=yname, xname=xname, use_t=use_t,
title=title)
return summ
elif hasattr(self, 'fvalue'):
# TODO: create something nicer for these casee
return '<F test: F=%s, p=%s, df_denom=%d, df_num=%d>' % \
(repr(self.fvalue), self.pvalue, self.df_denom, self.df_num)
else:
# generic
return '<Wald test: statistic=%s, p-value=%s>' % \
(self.statistic, self.pvalue)
[docs] def summary_frame(self, xname=None, alpha=0.05):
"""Return the parameter table as a pandas DataFrame
This is only available for t and normal tests
"""
if self.effect is not None:
# we have everything for a params table
use_t = (self.distribution == 't')
yname='constraints' # Not used in params_frame
if xname is None:
xname = ['c%d'%ii for ii in range(len(self.effect))]
from statsmodels.iolib.summary import summary_params_frame
summ = summary_params_frame((self, self.effect, self.sd,
self.statistic,self.pvalue,
self.conf_int(alpha)), yname=yname,
xname=xname, use_t=use_t)
return summ
else:
# TODO: create something nicer
raise NotImplementedError('only available for t and z')
class Contrast(object):
"""
This class is used to construct contrast matrices in regression models.
They are specified by a (term, design) pair. The term, T, is a linear
combination of columns of the design matrix. The matrix attribute of
Contrast is a contrast matrix C so that
colspan(dot(D, C)) = colspan(dot(D, dot(pinv(D), T)))
where pinv(D) is the generalized inverse of D. Further, the matrix
Tnew = dot(C, D)
is full rank. The rank attribute is the rank of
dot(D, dot(pinv(D), T))
In a regression model, the contrast tests that E(dot(Tnew, Y)) = 0
for each column of Tnew.
Parameters
----------
term : array-like
design : array-like
Attributes
----------
contrast_matrix
Examples
--------
>>> import numpy.random as R
>>> import statsmodels.api as sm
>>> import numpy as np
>>> R.seed(54321)
>>> X = R.standard_normal((40,10))
Get a contrast
>>> new_term = np.column_stack((X[:,0], X[:,2]))
>>> c = sm.contrast.Contrast(new_term, X)
>>> test = [[1] + [0]*9, [0]*2 + [1] + [0]*7]
>>> np.allclose(c.contrast_matrix, test)
True
Get another contrast
>>> P = np.dot(X, np.linalg.pinv(X))
>>> resid = np.identity(40) - P
>>> noise = np.dot(resid,R.standard_normal((40,5)))
>>> new_term2 = np.column_stack((noise,X[:,2]))
>>> c2 = Contrast(new_term2, X)
>>> print(c2.contrast_matrix)
[ -1.26424750e-16 8.59467391e-17 1.56384718e-01 -2.60875560e-17
-7.77260726e-17 -8.41929574e-18 -7.36359622e-17 -1.39760860e-16
1.82976904e-16 -3.75277947e-18]
Get another contrast
>>> zero = np.zeros((40,))
>>> new_term3 = np.column_stack((zero,X[:,2]))
>>> c3 = sm.contrast.Contrast(new_term3, X)
>>> test2 = [0]*2 + [1] + [0]*7
>>> np.allclose(c3.contrast_matrix, test2)
True
"""
def _get_matrix(self):
"""
Gets the contrast_matrix property
"""
if not hasattr(self, "_contrast_matrix"):
self.compute_matrix()
return self._contrast_matrix
contrast_matrix = property(_get_matrix)
def __init__(self, term, design):
self.term = np.asarray(term)
self.design = np.asarray(design)
def compute_matrix(self):
"""
Construct a contrast matrix C so that
colspan(dot(D, C)) = colspan(dot(D, dot(pinv(D), T)))
where pinv(D) is the generalized inverse of D=design.
"""
T = self.term
if T.ndim == 1:
T = T[:,None]
self.T = clean0(T)
self.D = self.design
self._contrast_matrix = contrastfromcols(self.T, self.D)
try:
self.rank = self.matrix.shape[1]
except:
self.rank = 1
#TODO: fix docstring after usage is settled
def contrastfromcols(L, D, pseudo=None):
"""
From an n x p design matrix D and a matrix L, tries
to determine a p x q contrast matrix C which
determines a contrast of full rank, i.e. the
n x q matrix
dot(transpose(C), pinv(D))
is full rank.
L must satisfy either L.shape[0] == n or L.shape[1] == p.
If L.shape[0] == n, then L is thought of as representing
columns in the column space of D.
If L.shape[1] == p, then L is thought of as what is known
as a contrast matrix. In this case, this function returns an estimable
contrast corresponding to the dot(D, L.T)
Note that this always produces a meaningful contrast, not always
with the intended properties because q is always non-zero unless
L is identically 0. That is, it produces a contrast that spans
the column space of L (after projection onto the column space of D).
Parameters
----------
L : array-like
D : array-like
"""
L = np.asarray(L)
D = np.asarray(D)
n, p = D.shape
if L.shape[0] != n and L.shape[1] != p:
raise ValueError("shape of L and D mismatched")
if pseudo is None:
pseudo = np.linalg.pinv(D) # D^+ \approx= ((dot(D.T,D))^(-1),D.T)
if L.shape[0] == n:
C = np.dot(pseudo, L).T
else:
C = L
C = np.dot(pseudo, np.dot(D, C.T)).T
Lp = np.dot(D, C.T)
if len(Lp.shape) == 1:
Lp.shape = (n, 1)
if np_matrix_rank(Lp) != Lp.shape[1]:
Lp = fullrank(Lp)
C = np.dot(pseudo, Lp).T
return np.squeeze(C)


Health Ministry confirms an interim shortage of measles vaccine and additional stocks to arrive in the coming days
by Semi TuragaThe Health Ministry confirms there is an interim shortage of the measles vaccine and additional stocks will arrive in the coming days.
It says the remaining measles vaccine stock will be prioritised to those who are at the greatest risk of catching and spreading measles and it is not available for the general public until additional stocks arrive in the coming days.
The Health Ministry says current stocks are being reserved for high-risk target groups which include residents of Serua/Namosi, children from the ages of 6 months to 3 years and people travelling overseas.
People travelling overseas must show proof travel such as their ticket and travel itinerary and not just a passport.
It says the routine immunisation of children at 12 and 18 months of age will continue as per the national immunisation schedule.
There are now 9 confirmed cases of measles from the Serua/Namosi subdivision.
The 2 new cases are of a 15-year-old from Wainadoi and a 2-year-old who had been staying in Waibogi, Serua.
The Health Ministry says the 2-year-old had returned home to Koronivia and is currently admitted under isolation at the CWM Hospital in Suva after returning from the Nakasi Health Centre on Tuesday.


Here is a list of recipes that demonstrate various types of positioning.
position: sticky
property to multiple
headings in a document. The headings stick to the top of the page and
overlap one and other as you scroll down.
z-index
property to override the
default ordering that the browser would use. Normally, you should not need to
set this property. Instead, you should order your HTML elements so that the
browser performs this task for you. However, when writing components in frameworks
like React, Angular, or Vue, you don't always have control over how your HTML
gets ordered.


Your task in this exercise is to find the shortest simple cycle that includes all nodes of the graph.
Select the edges that can be a part of the shortest simple cycle.
[TSP_KA.userInput]
if (!TSP_KA.checkAnswer() && !guess[0])
return ""; // User did not click, and correct answer is not
// initial array state
else return TSP_KA.checkAnswer(nnodes);


Problem Set 5 Update
Two more updates to PS5: Problem 7 considered adding an array but not loops to NAND-CIRC. But, it doesn’t make sense to have arrays without any way to update the index used to access them. So, for this to make sense we need to also have an instruction to update i. So, we have modified this question to add conditional increment and decrement instructions: CINC v takes a regular variable as its input, and if the value of v is 1 it updates the value of i to be i + 1.Problem Set 5 Update
There were several mistakes in PS5, Problem 1, which are now corrected (updated ps5.pdf, ps5.zip). Problem 1a should be: Prove that when $f^*(i) = 0$, $f_{i+1} = f_i$. That is, the two functions denoted by $f_{i + 1}$ and $f_i$ are actually the same function. Thanks to Joey Rudek for noticing the problem! Problems 6 and 7 mixed up NAND-CIRC and NAND-TM. Problem 6 should be asking if NAND-LOOP is more powerful than NAND-CIRC (it would be silly to ask if it is more powerful than NAND-TM, since NAND-TM has everything in NAND-LOOP plus arrays, so there’s no way NAND-LOOP could be more powerful than NAND-TM).Class 14: Computability
TCS Chapter 6: Loops and Infinity
TCS Chapter 8: Universaility and Uncomputability
Alan M. Turing, On Computable Numbers, with an Application to the Entscheidungsproblem. 1936. (bug fix)
Problem Set 5
Problem Set 5: Loopy Tunes Problem Set 5 is available here: ps5.pdf (you will also need the ps5.zip file). It is due on Friday, 25 October at 4:19pm. These is no Jupyter part for PS5, so your submission can be just one ps5.pdf file. This assignment covers the Size Hierarchy from Chapter 5, Finite State Macines from Class 12 and Class 13, and Turing Machines, NAND-TM, and computability from Chapter 5, Class 13 and Class 14.Class 13: Machines
TCS Chapter 6: Loops and Infinity
Class 12: Size Hierarchy
TCS Chapter 5: Code as data, data as code
Problem Set 4
Problem Set 4: Countess of Functions Problem Set 4 is available here: ps4.pdf (you will also need the ps4.zip file). It is due on Friday, 18 October at 4:19pm. This assignment involves both PDF and Jupyter parts, and you should submit both your ps4.ipynb and ps4.pdf files as attachments in collab. As far as we know, none of the problems are impossible (we may be wrong, of course, but none of them are intentionally impossible to solve).Class 11: Cost and Counting
TCS Chapter 5: Code as data, data as code
Exam 1 Comments
The comments on Exam 1 are here: PDF.
The original exam is here: PDF
Overall the class did very well on Exam 1. The average scores by problem are:
| Cover | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
|---|---|---|---|---|---|---|---|---|---|
| 15 | 9.8 | 9.3 | 9.8 | 9.5 | 6.7 | 8.7 | 8.8 | 8.9 | 7.9 |
Fall Break
Enjoy your Fall Break!
We will have no regularly scheduled office hours until after classes resume on October 9. We will return Exam 1 in class on Wednesday, October 9. There is no problem set due next week. Problem Set 4 will be due on Friday, 18 October.


This application has been designed to support the following browsers.
Google Chrome 17+
Mozilla Firefox 12+
Internet Explorer 9+
Safari 5+
Safari iOS 5+
Android 2.3+


Search for any musical instruments & Tools & books, click search right now
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Overview
In w2ui library there are several global variables.
w2ui
All objects you create - layouts, grids, toolbars, sidebars, tabs, forms - will be attached to global w2ui object.
Initially it is an empty object, but as soon as you start creating widgets, they will become part of
this object. This object serves two important purposes:
- It provides a common and uniform way for accessing created objects
- It makes sure that you will not overwrite already created object (object name must be unique)
For example, if you created a grid with name myGrid then it can be accessed in the following manner:
w2obj
If you need to add custom methods to the prototype of layout, grid, etc, you can use w2obj global variable,
so that a method will be instantly available for all objects of that type. You can also overwrite default methods for
all widgets. For example:
w2utils
This global variable has useful generic functions for data validation, data sanitation, data formatting, encoding, etc.
For example, you can check if a string is in email format by:
See w2utils.methods for more information.


Module model.object.object_bridge
ObjectBridge module.
Functions
| ObjectBridge.Register (name, objectBridge) | Register new bridge. |
| ObjectBridge.GetObjectBridges () | Get a associative array of name->objectBridge for all objectBridges. |
| ObjectBridge.GetObjectBridge (name) | Get a specific objectBridge |
Tables
| ObjectBridge | ObjectBridge class. |
Functions
- ObjectBridge.Register (name, objectBridge)
-
Register new bridge.
Parameters:
- name string Name of the bridge.
- objectBridge ObjectBridge Instance of a class implementing the ObjectBridge interface.
- ObjectBridge.GetObjectBridges ()
-
Get a associative array of name->objectBridge for all objectBridges.
Returns:
-
table.
- ObjectBridge.GetObjectBridge (name)
-
Get a specific objectBridge
Parameters:
- name string Name of the ObjectBridge.
Returns:
-
ObjectBridge.
Tables
- ObjectBridge
-
ObjectBridge class. Use to represent objects in the game world.
It can use the s11n API to provide serialization support. Consult https://github.com/gajop/s11n for details.
Fields:
- humanName string Human readable name.
- NoHorizontalDrag bool If true, disables horizontal drag
- ValidObject function Function accepting objectID number. Returns true if objectID is valid.
- OnSelect function Function accepting objectIDs table, invoked when selected.
- DrawObject function Function invoked when drawing objects manually. Accepts objectID number and obj table as params.
- OnDoubleClick function Function invoked when double clicked on an object in the game world.
- OnClick function Function invoked when clicked on an object in the game world. Accepts objectID, x, y and z as parameters.
- GetObjectAt function Function that returns an object at location x, z (if any exists).
- OnLuaUIAdded function Function invoked when LuaUI gets notification that an object was added. Accepts (objectID, object).
- OnLuaUIRemoved function Function invoked when LuaUI gets notification that an object was removed. Accepts (objectID).
- OnLuaUIUpdated function Function invoked when LuaUI gets notification that an object was updated. Accepts (objectID, name, value).


LMX5- lidocaine cream
Ferndale Laboratories, Inc.
Disclaimer: Most OTC drugs are not reviewed and approved by FDA, however they may be marketed if they comply with applicable regulations and policies. FDA has not evaluated whether this product complies.
Active ingredient
Lidocaine 5% w/w
Uses
temporarily relieves pain and itching due to anorectal disorders
Warnings
When using this product
- avoid contact with eyes
- do not exceed recommended dosage unless directed by a doctor
Stop use and ask a doctor if
- rectal bleeding occurs
- condition worsens or does not improve within 7 days
- allergic reaction occurs
- redness, irritation, swelling, pain or other symptoms begin or increase
- symptoms clear up and return within a few days
Keep out of reach of children.
If swallowed, get medical help or contact a Poison Control Center right away.
Directions
- When practical, clean area with mild soap and warm water and rinse thoroughly. Gently dry by patting or blotting with toilet tissue or soft cloth before applying.
- Adults and Children 12 years and older: Apply to the affected area up to 6 times a day.
- Children under 12 years of age: Consult a doctor.
Other information
Store at 25°C (77°F); excursions permitted to 15-30°C (59-86°F) [see USP Controlled Room Temperature].
Inactive Ingredients
benzyl alcohol, carbomer 940, chloesterol, hydrogenated lecithin, isopropyl myristate, polysorbate 80, propylene glycol, purified water, trolamine, and vitamin E acetate
Package Label
Manufactured for Ferndale Healthcare Inc.
Ferndale, MI 48220 U.S.A.
Toll free<PHONE_NUMBER>
www.ferndalehealthcare.com
L.M.X.5® is a registered trademark of Ferndale, IP Inc.
30 gram NDC 0496-0883-30
Back Panel
Front Panel
Ferndale Laboratories, Inc.


Core Built-in Functions¶
BOMLOptimizer.meta_learner:
- Aliases:
- boml.boml_optimizer.BOMLOptimizer.meta_learner()
boml.boml_optimizer.BOMLOptimizer.meta_learner( _input, dataset, meta_model='V1', name='Hyper_Net', use_T=False, use_Warp=False, **model_args )
This method must be called once at first to build meta modules and initialize meta parameters and neural networks.
Args:
- _input: orginal input for neural network construction;
- dataset: which dataset to use for training and testing. It should be initialized before being passed into the function
- meta_model: model chosen for neural network construction, V1 for C4L with fully connected layer,`V2` for Residual blocks with fully connected layer.
- name: name for Meta model modules used for BOMLNet initialization
- use_T: whether to use T layer for C4L neural networks
- use_Warp: whether to use Warp layer for C4L neural networks
- model_args: optional arguments to set specific parameters of neural networks.
BOMLOptimizer.base_learner:
- Aliases:
- boml.boml_optimizer.BOMLOptimizer.base_learner()
boml.boml_optimizer.BOMLOptimizer.base_learner( _input, meta_learner, name='Task_Net', weights_initializer=tf.zeros_initializer )
This method has to be called for every experiment and takes responsibility for defining task-specific modules and inner optimizer.
Args:
- _input: orginal input for neural network construction of task-specific module;
- meta_learner: returned value of meta_learner function, which is a instance of BOMLNet or its child classes
- name: name for Base model modules used for BOMLNet initialization
- weights_initializer: initializer function for task_specific network, called by 'MetaRepr' method
Returns: task-specific model part
BOMLOptimizer.ll_problem:
- Aliases:
- boml.boml_optimizer.BOMLOptimizer.ll_problem()
boml.boml_optimizer.BOMLOptimizer.ll_problem( inner_objective, learning_rate, T, inner_objective_optimizer='SGD', outer_objective=None, learn_lr=False, alpha_init=0.0, s=1.0, t=1.0, learn_alpha=False, learn_st=False, learn_alpha_itr=False, var_list=None, init_dynamics_dict=None, first_order=False, loss_func=utils.cross_entropy, momentum=0.5, beta1=0.0, beta2=0.999, regularization=None, experiment=None, scalor=0.0, **inner_kargs )
After construction of neural networks, solutions to lower level problems should be regulated in ll_problem.
- Args:
- inner_objective: loss function for the inner optimization problem
- learning_rate: step size for inner loop optimization
- T: numbers of steps for inner gradient descent optimization
- inner_objective_optimizer: Optimizer type for the outer parameters, should be in list [SGD,`Momentum`,`Adam`]
- outer_objective: loss function for the outer optimization problem, which need to be claimed in BDA agorithm
- alpha_init: initial value of ratio of inner objective to outer objective in BDA algorithm
- s,t: coefficients of aggregation of inner and outer objectives in BDA algorithm, default to be 1.0
- learn_alpha: specify parameter for BDA algorithm to decide whether to initialize alpha as a hyper parameter
- learn_alpha_itr: parameter for BDA algorithm to specify whether to initialize alpha as a vector, of which every dimension's value is step-wise scale factor fot the optimization process
- learn_st: specify parameter for BDA algorithm to decide whether to initialize s and t as hyper parameters
- first_order: specific parameter to define whether to use implement first order MAML, default to be FALSE
- loss_func: specifying which type of loss function is used for the maml-based method, which should be consistent with the form to compute the inner objective
- momentum: specific parameter for Optimizer.BOMLOptMomentum to set initial value of momentum
- regularization: whether to add regularization terms in the inner objective
- experiment: instance of Experiment to use in the Lower Level Problem, especifially needed in the MetaRper type of method.
- var_list: optional list of variables (of the inner optimization problem)
- inner_kargs: optional arguments to pass to boml.boml_optimizer.BOMLOptimizer.compute_gradients
- Returns: task-specific model part
BOMLOptimizer.ul_problem
Aliases:
boml.boml_optimizer.BOMLOptimizer.ul_problem()
boml.boml_optimizer.BOMLOptimizer.ul_Problem( outer_objective, meta_learning_rate, inner_grad, meta_param=None, outer_objective_optimizer='Adam', epsilon=1.0, momentum=0.5, global_step=None )
This method define upper level problems and choose optimizer to optimize meta parameters, which should be called afer ll_problem.
Args:
- outer_objective: scalar tensor for the outer objective
- meta_learning_rate: step size for outer loop optimization
- inner_grad: Returned value of boml.BOMLOptimizer.LLProblem()
- meta_param: optional list of outer parameters and model parameters
- outer_objective_optimizer: Optimizer type for the outer parameters, should be in list [SGD,`Momentum`,`Adam`]
- epsilon: Float, cofffecients to be used in DARTS algorithm
- momentum: specific parameters to be used to initialize Momentum algorithm
Returns：meta_param list, used for debugging
aggregate_all:
Aliases:
- boml.boml_optimizer.BOMLOptimizer.aggregate_all()
- ::
- boml.boml_optimizer.BOMLOptimizer.aggregate_all(
aggregation_fn=None, gradient_clip=None )
- Args:
- aggregation_fn:Optional operation to aggregate multiple outer_gradients (for the same meta parameter),by (default: reduce_mean)
- gradient_clip: optional operation to clip the aggregated outer gradients
Returns: None
Finally, aggregate_all has to be called to aggregate gradient of different tasks, and define operations to apply outer gradients and update meta parametes.
run:
- Aliases:
- boml.boml_optimizer.BOMLOptimizer.run()
boml.boml_optimizer.BOMLOptimizer.run( inner_objective_feed_dicts=None, outer_objective_feed_dicts=None, session=None, _skip_hyper_ts=False, _only_hyper_ts=False, callback=None )
- Args:
- inner_objective_feed_dicts: an optional feed dictionary for the inner problem. Can be a function of step, which accounts for, e.g. stochastic gradient descent.
- outer_objective_feed_dicts: an optional feed dictionary for the outer optimization problem (passed to the evaluation of outer objective). Can be a function of hyper-iterations steps (i.e. global variable), which may account for, e.g. stochastic evaluation of outer objective.
- session: optional session
- callback: optional callback function of signature (step (int), feed_dictionary, tf.Session) -> None that are called after every forward iteration.
Returns: None


Molecular and Cell Biology
Biochemistry and molecular biology
Gene expression: DNA structure, replication, exchange, and epigenetics (eg, imprinting, X activation, DNA methylation)
Gene expression: transcription
Gene expression: translation, post-translational processing, modifications, and disposition of proteins (degradation), including protein/glycoprotein synthesis, intra-extracellular sorting, and processes/functions related to Golgi complex and rough endoplasmic reticulum
Structure and function of proteins and enzymes (eg, enzyme kinetics and structural/regulatory proteins)
Energy metabolism (eg, ATP generation, transport chain)
Biology of cells
Adaptive cell responses and cellular homeostasis (eg, hypertrophy)
Mechanisms of injury and necrosis, including pathologic processes (eg, liquefactive necrosis, free radical formation)
Apoptosis
Cell cycle and cell cycle regulation (eg, mitosis)
Mechanisms of dysregulation
Cell biology of cancer (eg, role of p53, proto-oncogenes)
General principles of invasion and metastasis, including cancer staging
Cell/tissue structure, regulation, and function, including cytoskeleton, organelles, glycolipids, channels, gap junctions, extracellular matrix, and receptors
Human development and genetics
Principles of pedigree analysis
Inheritance patterns
Occurrence and recurrence risk determination
Population genetics: Hardy-Weinberg law, founder effects, mutation-selection equilibrium
Principles of gene therapy
Genetic testing and counseling
Genetic mechanisms (eg, penetrance, genetic heterogeneity)
Biology of tissue response to disease
Acute inflammatory responses (patterns of response)
Acute inflammation and mediator systems (eg, histamine, prostaglandins, bradykinins, eosinophilic basic protein, nitric oxide)
Vascular response to injury, including mediators
Principles of cell adherence and migration (eg, ECAMs, selectins, leukocytic diapedesis, and rolling)
Microbicidal mechanisms and tissue injury (eg, defensins)
Clinical manifestations (eg, pain, fever, leukocytosis, leukemoid reaction, chills)
Chronic inflammatory responses (eg, tumor necrosis factor)
Reparative processes
Wound healing, repair: thrombosis, granulation tissue, angiogenesis, fibrosis,scar/keloid formation
Regenerative process


What is the Genome Targeting Catalogue (GTC)?
The Genome Targeting Catalogue is a public repository of experiments using CRISPR/Cas enzymes, manually curated from published literature. It comprises the creation of insertions and deletions, homology directed repair, CRISPR activation and inhibition, and imaging experiments. This resource aims to bring together the broadest range of experiments possible, encompassing both targeted and genome-wide studies in 47 species.
Publications are taken from English-language, peer-reviewed sources, and must include the results of an experiment undertaken using a CRISPR/Cas enzyme. To ensure that data is useful, and comparable across experiments and species, there are minimum requirements for accession to the database.
Curation is carried out at EMBL-EBI; Data can be submitted for the database in the form of an Excel spreadsheet, with metadata related to the publication and the experiments contained within it, we will also consider data submitted in the correct format by authors. Details of the requirements and curation process can be found in the Curation Documentation section of the website.
Data can be accessed in tabular form or through an application programming interface (API).
Definitions
| Acronym / Term | Definition |
|---|---|
| AAV | Adeno-associated virus |
| Assay | Assay is used here as a descriptor of the desired method of action of the CRISPR associated protein and the experimental output |
| Base editing | Proteins which convert DNA bases from cytidine to uridine or adenosine to inosine are individually complexed to the Cas protein and act on genomic regions proximal to the target site. |
| Cas | CRISPR-associated protein |
| CRISPR | Clustered regularly interspaced short palindromic repeats |
| dsODN | Double-stranded donor oligonucleotides |
| Dual sgRNA-directed deletion | The use of two sgRNAs concurrently, with the aim of creating a deletion that encompasses the sequence between the two targets. |
| Genome-wide or arrayed study | A large-scale study in which hundreds or thousands of guides are used to edit a large number of cells. These can be carried out in a pooled or arrayed format. |
| HDR | Homology directed repair |
| HITI | Homology-independent targeted insertion |
| lsODN | Long Single-stranded donor oligonucleotides |
| MMEJ | Microhomology mediated end joining |
| Multiplexed | The introduction of more than one single guide RNA to the cells or tissue, targeting the same gene or genomic region, with the aim that they will act in the same cell. |
| Multitarget | The use of a single guide strand or multiple strands designed to target multiple genes concurrently. |
| NHEJ | Non-homologous end joining |
| PMID | PubMed ID |
| RNAi | RNA interference |
| RNP | A ribonucleoprotein is a complex of a protein, in this case a CRISPR/Cas protein, and a ribonucleic acid, in this case a guide RNA strand. |
| sgRNA | Single-guide RNA |
| sgRNA library | A group of sgRNAs designed to target a selection of genes or genomic regions. They can number from a few hundred to hundreds of thousands |
| shRNA | Short hairpin RNA |
| siRNA | Short interfering RNA |
| ssODN | Single-stranded donor oligonucleotides |
| Study | An experiment which could theoretically be carried out in a single test tube. A publication may contain multiple studies. |
| T7E1 | T7 endonuclease 1 is an enzyme which can be used in a DNA mismatch assay. |
| TALENs | Transcription activator-like effector nucleases |
| Targeted study | A publication with 100 or fewer targets, with information given about the efficiencies of individual guides. |
| TIDE | Tracking of indels by decomposition |
| Transcriptional activation | A protein which increases transcription of a gene or group of genes is complexed to the Cas protein and acts on genomic regions proximal to the target site. |
| Transcriptional inhibition | A protein which decreases transcription of a gene or group of genes is complexed to the Cas protein and acts on genomic regions proximal to the target site. |
| Off-target effects | Binding events at locations other than the target site, potentially causing confounding effects within an experiment. |
| ZFNs | Zinc finger nucleases |


VITask Desktop
Protons give an atom its identity, electrons its personality.-Bill Bryson
Download
Steps to install VITask Desktop Client:
- Download
installer.rar
and extract it to a suitable location.
- Run
VITaskSetup.msi
and complete the setup.
- Now run
VITaskSetup.exe
- VITask will be installed and a shortcut will be added to your Desktop.
VITask Android
Get the big idea and all else follows.-B. J. Palmer
Direct Download
Download from Playstore
Steps to install VITask:
- Download
VITask_Android.apk
and install it.
- Run
VITask
app and login after installation.
VITask Android lite
Make it simple, but significant-Anonymous
Direct Download
Download from Playstore
Steps to install VITask Lite:
- Download
VITask_Android_Lite.apk
and install it.
- Run
vitask
app and login after installation.


INTRODUCTION: Certain numbers can be expressed as ratios of two integers and such numbers are called rational numbers. However, some numbers cannot be expressed as ratios of two integers. Examples of such numbers are √2 ,3√5 ,4√7, etc. Such numbers are said to be irrational and irrational numbers which are roots of rational numbers are called SURDS
Introduction
Rationalizing Denominators
Multiplying and dividing surds
Logarithms
In simple terms, a logarithm is the power to which a number must be raised in order to get some other number. For example, the base ten logarithm of 100 is 2, because ten raised to the power of two is 100: log 100=2.
Sequence and Series
Under sequence and series, you would learn about progressions such as the Arithmetic progression (Linear Sequence) and Geometric progression (Exponential Sequence). You would learn how to find the nth term and also the sum of n terms in both progressions
Approximation and Error
An approximation error can occur because the measurement of data is not always precise due to the instruments used. The approximation error is the difference between an exact value and some approximation of it.
Learning about percentage error
Approximation and errors
Commercial Arithmetic
Commercial arithmetic is a branch of mathematics that deals with money matters. Under this topic, you would learn about simple interest, compound interest, and appreciation and depreciation.


Example of “Select” input.
What is your favorite color?
Red
Orange
Yellow
Example of “Radio” inputs.
Breakfast
Brunch
Lunch
Example of “Checkbox” inputs.
Breakfast
Brunch
Lunch


| Incident ID | Subject\Description | Time Occurred | Time Resolved | TTR (sec) |
|---|---|---|---|---|
| {{incident.id}} | {{incident.trigger_summary_data.description || incident.trigger_summary_data.subject}} | {{incident.created_on}} | {{incident.resolved_on}} | {{incident.time_to_resolve}} |


Reload the page. When the page allows synchronous XHRs, you will eventually see a list of web features supported in Chrome. Note that the banner doesn't render until the JSON request has finished. This is because the main thread is blocked by the request + parsing of JSON data. When the page turns on this policy, the browser simply blocks the sync XHR request.


{% extends 'home/layout.html' %} {% block title %}Grade It{% endblock %} {% block content %}
Sum of the grades should be less than {{pvalue}}


GNOME Contacts is a simple contacts application that allows you to view your contacts as well as edit their details and create new contacts. Online integration is an important aspect of GNOME Contacts - it will seamlessly synchronise with the contacts stored in online accounts. If you have the same person in multiple online accounts, GNOME Contacts will automatically link them together into the same contact.
This package is known to build and work properly using an LFS-7.6 systemd platform.
Download (HTTP): http://ftp.gnome.org/pub/gnome/sources/gnome-contacts/3.12/gnome-contacts-3.12.0.tar.xz
Download (FTP): ftp://ftp.gnome.org/pub/gnome/sources/gnome-contacts/3.12/gnome-contacts-3.12.0.tar.xz
Download MD5 sum: f00c59f4bff59351d360c8865a67071e
Download size: 724 KB
Estimated disk space required: 22 MB
Estimated build time: 0.2 SBU
evolution-data-server-3.12.5, Folks-0.9.8 (built with evolution-data-server-3.12.5 support), gnome-desktop-3.12.2, gnome-online-accounts-3.12.4, libnotify-0.7.6, and Vala-0.24.0
telepathy-mission-control-5.16.3
User Notes: http://wiki.linuxfromscratch.org/blfs/wiki/gnome-contacts
Install GNOME Contacts by running the following commands:
./configure --prefix=/usr && make
This package does not come with a test suite.
Now, as the root
user:
make install
Last updated on 2014-08-25 18:22:00 -0700


NB_FILTER = 256
NGRAM_LENGTHS = [1, 2, 3, 4, 5]
conv_layers = []
for ngram_length in NGRAM_LENGTHS:
ngram_layer = Sequential()
ngram_layer.add(Convolution1D(
NB_FILTER,
merged = Concatenate()(conv_layers)
dropout = Dropout(0.5)(merged)
flattened = Flatten()(dropout)
outputs = Dense(output_length, activation="sigmoid")(flattened)
model = Model(inputs=inputs, outputs=outputs)
model.compile(


Event 1
Venue Type: Party
Occupancy: 50-100
Amenities: WiFi | Pool | Speakers
Event 2
Venue Type: Party
Occupancy: 50-100
Amenities: WiFi | Pool | Speakers
Event 3
Venue Type: Party
Occupancy: 50-100
Amenities: WiFi | Pool | Speakers


The board director of the Swiss central bank Thomas Moser voiced his doubts about the possibility of an ‘e-franc’ state cryptocurrency when speaking at the 2018 Crypto Valley Blockchain conference in Zug, Switzerland yesterday. SwissInfo reports that Moser stated the pote...


IAPs species plant high Georgia areas distribution AHCV climate endemic area suitability future models potential data conservation richness endemism selected Georgian (i.e., PAs invasive pseudo‐absences {border-style using invasion plants px;} risk used #ffffff;} change study predicted values range (Table Georgia, Guisan, global surface (Figure (e.g., Ecology S). alien higher present protected increase invasions total Biological Caucasus current https://doi.org/./j.-...x occurrences suitable (see ARF Areas Ecology, Georgia's biodiversity biological map number value AUC Figure Georgia. However, IAPs, TSS Table endemics good lower occurrence presences sampling spatial susceptibility Ecological Figures State Thuiller, University actual climatic different elevation impact invaded known large located management predictions px; ranging representing resolution sensitivity species, species. {font-family Applied Protected Tbilisi altitudes approach compared decrease evaluated font-size involved model modeling mountain native order random statistical threshold < .; .), AHCV. Current Descombes IUCN PRF Plant SDMs Thalmann [], a). based bias considered countries database dispersal double; environmental excellent flora low mean models, natural package performance predict rare represents showed variables western (Tables Broennimann, Evolution Evolution, Future IAP Institute Invasive Models Müller‐Schärer, Overall, Pyšek, S), Switzerland Zimmermann, addition, approximately available background border-color border-width central country cover eastern endangered filling following local metric missing month niche north occupied projections randomly region represent representative scale solid; species' {font-style {font-weight > < (%) Adjara Armenia Botanical Climate Daehler, Distributions, Diversity Environmental GBIF IAPs. Invasions, Kueffer, Kutaisi Lausanne Modelling, National Petitpierre, RCP Richardson, Science Species and/or artemisiifolia averaged biomes bold botanical calculated calibrated canadensis case change. climate, conditions courier; distributions em; endangered, established estimated focal frames habitat https://doi.org/./s--- i.e., important indicating information minimal monitoring need observations obtained outside phylogenetic prediction presence‐only prevention procedure protect pt;} ranges rare, risks sample scenarios shown similar sites southwestern stage strong temperature threatened worldwide


To find inspiration as a web designer/developer, one must be an explorer in the vast wonderland we call the internet. During one such outing, i came across a new kind of display gallery in the Jio home page. This is a div section with multiple tiles within it. When hovered on each of the children tiles, the parent background changes, while revealing content within the tile. These tiles have user reviews and feedback about the product.
I had noticed that this structure worked with the help of javascript with the "onmouseover" function. I wondered if this effect can be replicated with pure CSS. CSS nowadays is becoming more and more powerful, especially with the superpowers provided by the preprocessor SASS. So i set out to experiment if my theory stands true. I felt this could be an excerise to practice and develop further my skills in SASS based CSS coding.
After starting out with the development, i realised that the properties of SASS/CSS that i had assumed were the key to building this without javascript, the ":has" and ":parent" psuedo selectors weren't supported by most browsers as yet. Not to be disheartened, I tried to build the same using javascript/jQuery with the support of CSS.
The solution i have come up with are shown below as 3 alternatives. Use the quick floating navigation on the left or jump directly to the code by clicking any of the links below.
using SASS/CSS classes with jQuery Using just jQueryUsing vanilla javascript
In the example below, there are two methods of generating classes using loops in SASS. You can click on the "view compiled code" button in the scss tab to view the compiled CSS code.
In the first method of generating CSS classes, we can use a variable list of Static URLs, and @each loop for generating multiple classes with different background images.
In the second method, we can use a @for loop, to call the images from our "images" folder in the project structure.
In both the methods, the HTML and JS do not change.
See the Pen tiles jq-css by pradyumna (@prador) on CodePen.
In the example below, the concept is implemented using just jQuery. The variable array list is used to feed URLs to match the correct index when the tile is hovered on.
A second method is commented out, where we can just call the images from our "images" folder in the project structure.
In both the methods, the HTML and CSS do not change.
See the Pen tiles jq only by pradyumna (@prador) on CodePen.
In the example below, the concept is implemented using just vanilla javascript with no library dependency. The variable array list is used to feed URLs to match the correct index when the tile is hovered on.
A second method is commented out, where we can just call the images from our "images" folder in the project structure.
In both the methods, the HTML and CSS do not change.
See the Pen tiles js only by pradyumna (@prador) on CodePen.


Help us find the best places in town to surf the web. It's simple. If you're on free Wi-Fi right now, just take a moment to rank it. Together we can eliminate the need to hunt for good connections.


This demonstrates that you can use scriptie-talkie via a simple <script src=".."> although I highly recommend to use browserify instead.
<script src="..">


The pyglet Programming Guide provides in-depth documentation for writing applications that use pyglet. Many topics described here reference the pyglet API reference, provided separately.
If this is your first time reading about pyglet, we suggest you start at Writing a pyglet application.


Hashtags: #jsconf #debugging
All great, but more for analysis than straight debugging
There's so much here, it gets its own section!
console.log
Read the spec, read JS: TDG, go beyond the good parts
Read up on ES5, ES6, ES7
Subscribe to JS Weekly
Inconsistently written code SUCKS to debug
Look into things like Idiomatic for a starting point, and EditorConfig to help enforce it
You don't write code for yourself, you write it for the moron who has to maintain it in a year.

Not just for hiding things
For when Private Mode isn't enough
Named functions are easier to debug, as the call stack has a nice, clean name right there in it!
Combining $_
and $0
for fun and profit*
* There may not be profit
Use and abuse of conditional breakpoints
Just about everything is mutable, so make changes
SomeNative.prototype.someMethod = function () { debugger; }
Example, sorta
toWrap[method] = function wrapped () {
var groupName = identifier + ': ' + method;
console[grouping](groupName);
console.log('%s args: %o', method, arguments);
try {
var value = oldMethod.apply(this, arguments);
console.log('%s return value: %o', method, value);
return value;
} catch (e) {
console.error('%s error: %o', method, e);
} finally {
console.log('%s: Exiting', method);
console.groupEnd(groupName);
}
};
https://gist.github.com/brianarn/8951284


The house analogy, HTML is the building frame and foundations, css is everthing you put inside the house, and I guess DOM is the way you present your plans to your builder/interior desginer.
To break down the way you want your website to look into different smaller boxes, which represent the different divs and elements you'll have to create and organize.
The box model is the format that divs are presented in the browser. They start with all the content which is inside a box and then contain all the padding and margins which control the area the div takes up.


K
- the type of keys maintained by this mapV
- the type of mapped valuespublic class ConcurrentHashMap<K,V> extends AbstractMap<K,V> implements ConcurrentMap<K,V>, Serializable
Hashtable
, and
includes versions of methods corresponding to each method of
Hashtable. However, even though all operations are
thread-safe, retrieval operations do not entail locking,
and there is not any support for locking the entire table
in a way that prevents all access. This class is fully
interoperable with Hashtable in programs that rely on its
thread safety but not on its synchronization details.
Retrieval operations (including get) generally do not
block, so may overlap with update operations (including
put and remove). Retrievals reflect the results
of the most recently completed update operations holding
upon their onset. For aggregate operations such as putAll
and clear, concurrent retrievals may reflect insertion or
removal of only some entries. Similarly, Iterators and
Enumerations return elements reflecting the state of the hash table
at some point at or since the creation of the iterator/enumeration.
They do not throw ConcurrentModificationException
.
However, iterators are designed to be used by only one thread at a time.
The allowed concurrency among update operations is guided by the optional concurrencyLevel constructor argument (default 16), which is used as a hint for internal sizing. The table is internally partitioned to try to permit the indicated number of concurrent updates without contention. Because placement in hash tables is essentially random, the actual concurrency will vary. Ideally, you should choose a value to accommodate as many threads as will ever concurrently modify the table. Using a significantly higher value than you need can waste space and time, and a significantly lower value can lead to thread contention. But overestimates and underestimates within an order of magnitude do not usually have much noticeable impact. A value of one is appropriate when it is known that only one thread will modify and all others will only read. Also, resizing this or any other kind of hash table is a relatively slow operation, so, when possible, it is a good idea to provide estimates of expected table sizes in constructors.
This class and its views and iterators implement all of the
optional methods of the Map
and Iterator
interfaces.
Like Hashtable
but unlike HashMap
, this class
does not allow null to be used as a key or value.
This class is a member of the Java Collections Framework.
AbstractMap.SimpleEntry<K,V>, AbstractMap.SimpleImmutableEntry<K,V>
| Constructor and Description |
|---|
ConcurrentHashMap()
Creates a new, empty map with a default initial capacity (16),
load factor (0.75) and concurrencyLevel (16).
|
ConcurrentHashMap(int initialCapacity)
Creates a new, empty map with the specified initial capacity,
and with default load factor (0.75) and concurrencyLevel (16).
|
ConcurrentHashMap(int initialCapacity,
float loadFactor)
Creates a new, empty map with the specified initial capacity
and load factor and with the default concurrencyLevel (16).
|
ConcurrentHashMap(int initialCapacity,
float loadFactor,
int concurrencyLevel)
Creates a new, empty map with the specified initial
capacity, load factor and concurrency level.
|
ConcurrentHashMap(Map<? extends K,? extends V> m)
Creates a new map with the same mappings as the given map.
|
| Modifier and Type | Method and Description |
|---|---|
void |
clear()
Removes all of the mappings from this map.
|
boolean |
contains(Object value)
Legacy method testing if some key maps into the specified value
in this table.
|
boolean |
containsKey(Object key)
Tests if the specified object is a key in this table.
|
boolean |
containsValue(Object value)
Returns true if this map maps one or more keys to the
specified value.
|
Enumeration<V> |
elements()
Returns an enumeration of the values in this table.
|
Set<Map.Entry<K,V>> |
entrySet()
Returns a
Set view of the mappings contained in this map. |
V |
get(Object key)
Returns the value to which the specified key is mapped,
or
null if this map contains no mapping for the key. |
boolean |
isEmpty()
Returns true if this map contains no key-value mappings.
|
Enumeration<K> |
keys()
Returns an enumeration of the keys in this table.
|
Set<K> |
keySet()
Returns a
Set view of the keys contained in this map. |
V |
put(K key,
V value)
Maps the specified key to the specified value in this table.
|
void |
putAll(Map<? extends K,? extends V> m)
Copies all of the mappings from the specified map to this one.
|
V |
putIfAbsent(K key,
V value)
If the specified key is not already associated
with a value, associate it with the given value.
|
V |
remove(Object key)
Removes the key (and its corresponding value) from this map.
|
boolean |
remove(Object key,
Object value)
Removes the entry for a key only if currently mapped to a given value.
|
V |
replace(K key,
V value)
Replaces the entry for a key only if currently mapped to some value.
|
boolean |
replace(K key,
V oldValue,
V newValue)
Replaces the entry for a key only if currently mapped to a given value.
|
int |
size()
Returns the number of key-value mappings in this map.
|
Collection<V> |
values()
Returns a
Collection view of the values contained in this map. |
clone, equals, hashCode, toString
public ConcurrentHashMap(int initialCapacity, float loadFactor, int concurrencyLevel)
initialCapacity
- the initial capacity. The implementation
performs internal sizing to accommodate this many elements.loadFactor
- the load factor threshold, used to control resizing.
Resizing may be performed when the average number of elements per
bin exceeds this threshold.concurrencyLevel
- the estimated number of concurrently
updating threads. The implementation performs internal sizing
to try to accommodate this many threads.IllegalArgumentException
- if the initial capacity is
negative or the load factor or concurrencyLevel are
nonpositive.public ConcurrentHashMap(int initialCapacity, float loadFactor)
initialCapacity
- The implementation performs internal
sizing to accommodate this many elements.loadFactor
- the load factor threshold, used to control resizing.
Resizing may be performed when the average number of elements per
bin exceeds this threshold.IllegalArgumentException
- if the initial capacity of
elements is negative or the load factor is nonpositivepublic ConcurrentHashMap(int initialCapacity)
initialCapacity
- the initial capacity. The implementation
performs internal sizing to accommodate this many elements.IllegalArgumentException
- if the initial capacity of
elements is negative.public ConcurrentHashMap()
public ConcurrentHashMap(Map<? extends K,? extends V> m)
m
- the mappublic boolean isEmpty()
public int size()
public V get(Object key)
null
if this map contains no mapping for the key.
More formally, if this map contains a mapping from a key
k
to a value v
such that key.equals(k)
,
then this method returns v
; otherwise it returns
null
. (There can be at most one such mapping.)
get
in interface Map<K,V>
get
in class AbstractMap<K,V>
key
- the key whose associated value is to be returnednull
if this map contains no mapping for the keyNullPointerException
- if the specified key is nullpublic boolean containsKey(Object key)
containsKey
in interface Map<K,V>
containsKey
in class AbstractMap<K,V>
key
- possible keyNullPointerException
- if the specified key is nullpublic boolean containsValue(Object value)
containsValue
in interface Map<K,V>
containsValue
in class AbstractMap<K,V>
value
- value whose presence in this map is to be testedNullPointerException
- if the specified value is nullpublic boolean contains(Object value)
containsValue(java.lang.Object)
, and exists solely to ensure
full compatibility with class Hashtable
,
which supported this method prior to introduction of the
Java Collections framework.value
- a value to search forNullPointerException
- if the specified value is nullpublic V put(K key, V value)
The value can be retrieved by calling the get method with a key that is equal to the original key.
put
in interface Map<K,V>
put
in class AbstractMap<K,V>
key
- key with which the specified value is to be associatedvalue
- value to be associated with the specified keyNullPointerException
- if the specified key or value is nullpublic V putIfAbsent(K key, V value)
if (!map.containsKey(key)) return map.put(key, value); else return map.get(key);except that the action is performed atomically.
putIfAbsent
in interface ConcurrentMap<K,V>
key
- key with which the specified value is to be associatedvalue
- value to be associated with the specified keyNullPointerException
- if the specified key or value is nullpublic void putAll(Map<? extends K,? extends V> m)
public V remove(Object key)
remove
in interface Map<K,V>
remove
in class AbstractMap<K,V>
key
- the key that needs to be removedNullPointerException
- if the specified key is nullpublic boolean remove(Object key, Object value)
if (map.containsKey(key) && map.get(key).equals(value)) { map.remove(key); return true; } else return false;except that the action is performed atomically.
remove
in interface ConcurrentMap<K,V>
key
- key with which the specified value is associatedvalue
- value expected to be associated with the specified keyNullPointerException
- if the specified key is nullpublic boolean replace(K key, V oldValue, V newValue)
if (map.containsKey(key) && map.get(key).equals(oldValue)) { map.put(key, newValue); return true; } else return false;except that the action is performed atomically.
replace
in interface ConcurrentMap<K,V>
key
- key with which the specified value is associatedoldValue
- value expected to be associated with the specified keynewValue
- value to be associated with the specified keyNullPointerException
- if any of the arguments are nullpublic V replace(K key, V value)
if (map.containsKey(key)) { return map.put(key, value); } else return null;except that the action is performed atomically.
replace
in interface ConcurrentMap<K,V>
key
- key with which the specified value is associatedvalue
- value to be associated with the specified keyNullPointerException
- if the specified key or value is nullpublic void clear()
public Set<K> keySet()
Set
view of the keys contained in this map.
The set is backed by the map, so changes to the map are
reflected in the set, and vice-versa. The set supports element
removal, which removes the corresponding mapping from this map,
via the Iterator.remove, Set.remove,
removeAll, retainAll, and clear
operations. It does not support the add or
addAll operations.
The view's iterator is a "weakly consistent" iterator
that will never throw ConcurrentModificationException
,
and guarantees to traverse elements as they existed upon
construction of the iterator, and may (but is not guaranteed to)
reflect any modifications subsequent to construction.
public Collection<V> values()
Collection
view of the values contained in this map.
The collection is backed by the map, so changes to the map are
reflected in the collection, and vice-versa. The collection
supports element removal, which removes the corresponding
mapping from this map, via the Iterator.remove,
Collection.remove, removeAll,
retainAll, and clear operations. It does not
support the add or addAll operations.
The view's iterator is a "weakly consistent" iterator
that will never throw ConcurrentModificationException
,
and guarantees to traverse elements as they existed upon
construction of the iterator, and may (but is not guaranteed to)
reflect any modifications subsequent to construction.
public Set<Map.Entry<K,V>> entrySet()
Set
view of the mappings contained in this map.
The set is backed by the map, so changes to the map are
reflected in the set, and vice-versa. The set supports element
removal, which removes the corresponding mapping from the map,
via the Iterator.remove, Set.remove,
removeAll, retainAll, and clear
operations. It does not support the add or
addAll operations.
The view's iterator is a "weakly consistent" iterator
that will never throw ConcurrentModificationException
,
and guarantees to traverse elements as they existed upon
construction of the iterator, and may (but is not guaranteed to)
reflect any modifications subsequent to construction.
public Enumeration<K> keys()
keySet()
public Enumeration<V> elements()
values()
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For further API reference and developer documentation, see Java SE Documentation. That documentation contains more detailed, developer-targeted descriptions, with conceptual overviews, definitions of terms, workarounds, and working code examples.
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