The first thing that must be done when you start a new Rimworld Game is to pick your scenario. The scenario you pick controls how many colonists you can have, starting conditions and items. You are able to create your own scenario or import others using the Steam Workshop. Click the image below for more info.
The next screen will ask you to pick a storyteller. There are currently three storytellers: Cassandra Classic, Phoebe Chillax, and Randy Random. Each have unique ways of adding encounters and driving gameplay in differnt ways. Click the images below for their descriptions!
The next two screens prompt you for specific world generation options. The first screen asks for a seed and size of the world to generate. The seed is what randomizes the world generation. You may also put in seeds shared from other players to generate a world exactly like theirs. After you generate the world, you must select your landing site very carefully as it mean life or death for the colonists. The world is comprised of many different biomes such as Rainforest or Tundra. It is recommended for new players to play in the Temperate Mountains biome. The advanced tab also allows you to specify how large the game map will be. I always play on the largest size.
After those steps comes the most important piece of making your world, colonist selection. The most basic game selection gives a player 3 colonists to start with, however that may be changed in the options listed above. Each character comes with a set of stats that give them a bonus in that specifc area. The game allows you to randomize the colonist which includes skills, name, health, relations, ect. With 20 points being the maximum amount, a player should aim high yet keep their colonists balanced. Good skills to focus on would be shooting, doctor, and mining.
From here you are dropped in to the hostile world where you must scramble to make or find a place to have your colonists sleep. Food will soon become an issue and you must prepare for starvation. Hunting and growing crops will get you started but you will also need a good cook in order to make meals. Additionally defense must be made, mining must be done, and research to advance your technology. Assigning the correct colonists for the job is a life or death choice. The higher their skill level, the better they are at doing that job.
Cassandra creates story events on a steadily-increasing curve of challenge and tension.
- In-game description
Phoebe gives lots of time between disasters to relax and build your colony. But beware - if she's set at a high challenge scale, she'll hit as hard as anyone.
- In-game description
Randy doesn't follow rules. He'll generate random events, and he doesn't care if they make a story of triumph or utter hopelessness. It's all drama to him.
- In-game description
The character creator screen tells a story about each colonist, what they can do, what they cant, who they like or hate, and their traits.
Each character is unique and attachment between player and colonist may form.


Frequently Asked Questions
Do you ship? Where can you ship my desserts?
Yes! We do ship. We can ship within the United States, internationally, we're even willing to try to ship to outer space, just in case there's a martian or two up there that might want to see what cake is all about. We are currently unable to ship to the Sun, as the cookies may overbake.
What sizes are your dessert packages?
We have several! While we'd love to have binary multipliers, our packages are a little smaller. Our Kilo tray has 20 treats, the Megabyte tray has 40 treats, the Gigabyte tray has 60 treats and the Terabyte tray has 80 treats. Want more than that? We do custom sizing too!
What if I want a special science item for my event?
That's great! We'd love to nerd out with you. Just let us know what kind of design you have in mind, be it decorative or in a certain shape and we'll see what we can do. We want your event to be out of this world!
What if I want an art-themed dessert?
That's all right. We might not be the bakery for you, but we have a sister bakery called "Palettes and Pastries" that we can refer you out to. They'll whip up something colorful and museum-worthy for you in no time.


The following picture shows the overall structure of the framework and its clients. Parts outlined in bold are integrated with the input method framework as part of the Java SE platform; others can be developed and distributed separately by independent software vendors.
The input method client API defines the classes and interfaces that text editing components can use to implement an integrated text input user interface. The AWT text components TextArea and TextField provide on-the-spot or over-the-spot composition, depending on implementation. The text components of the Swing user interface toolkit provide an integrated text input user interface. The context management manages communication paths between the text editing components and input methods. The input method engine SPI defines the interfaces that allow input method engines and adapters to be plugged into the framework. Input method engines can be implemented directly in the Java programming language using these interfaces. To use native input methods integrated with the host input method manager, an adapter translates information between the data models used by native input methods and the input method framework and provides the composition window. Adapters for other input systems, such as Java Speech or the Internet-Intranet Input Method Protocol (IIIMP), can also be implemented using this interface.
Every instance of the Component class is potentially a client of the input method framework. The framework distinguishes between four kinds of components:
All four kinds of components may coexist in the same window. The input method framework, therefore, needs to determine the capabilities of components and adjust its behavior as the focus moves from one component to another.
Client components are not responsible for drawing candidate lists or for user interface elements that control the input method's behavior. Depending on the platform, this responsibility rests with input methods, the host input method manager, or the input method framework.
Input methods are not concerned with the differences between client components. They interact with them indirectly through the input method framework, which presents an interface similar to an active client and handles the differences internally.
The input method framework supports three input styles:
The framework chooses between on-the-spot and below-the-spot input for active clients based on a system property or an AWT property "java.awt.im.style". The system property can be defined from the command line (by the end user), the AWT property in a localized awt.properties file (by the localizer or a system administrator). If both are defined, the system property takes precedence. If the property's value is "below-the-spot", below-the-spot input is used, otherwise on-the-spot input.
Support for below-the-spot input with native input methods is platform dependent. It is supported on Windows, but not on Solaris. Where it is not supported, on-the-spot input is used instead.
The input style used for peered text components (instances of the TextComponent class) is implementation dependent and may not be any of the styles described above. On Windows, below-the-spot input may be selected as described above, otherwise over-the-spot input is used, where composed text is drawn in a separate window covering the insertion point. On Solaris, the input style depends on the input method.
No input style is associated with non-clients.
Input methods are not concerned with the differences between input styles. They interact with client components indirectly through the input method framework, which presents an interface assuming on-the-spot input and handles the differences internally.
The input method engine SPI enables the development of input methods in the Java programming language. Adapters for other input systems, such as Java Speech or the Internet-Intranet Input Method Protocol, can also be implemented using this interface. For information specific to the SPI, see the SPI package specification.
The SPI is also used for host input method adapters, which connect to native input methods integrated with the host input method managers, such as the Input Method Manager on Microsoft Windows, the Text Services Manager on MacOS, and XIM on Solaris. The host input method adapter plays the role of an input method within the input method framework, and translates events and requests between the data models used by AWT and the input method framework on one side and the host's input method manager on the other side. It also cooperates with the input context in managing the composition window - for passive clients interacting host input methods, typically the root window provided by the host input method manager is used. The adapter passes on requests for particular input methods to the host, but users can also use the host's selection mechanism to select input methods.
InputContext instances manage communication contexts between client components and input methods. The main task of an input context is to maintain the connection from the current client component to its current input method. It dispatches input events such as key and mouse events from the component to the current input method, and input method events from the input method to the client component. It also dispatches requests for information from the input method to the client component.
Each InputContext instance provides its own text input environment, separate from all other input contexts. This allows applications to support multiple concurrent input operations. For example, in the middle of entering text into a document, a user can open a file dialog and enter a file name, without affecting the composition state of the text being entered into the document.
By default, one InputContext instance is created per Window instance, and this input context is shared by all components within the window's containment hierarchy. If necessary, components can create private input contexts. A component that doesn't have its own input context uses the one used by its parent. An input context has at most one current client component, the component that currently has the focus. When switching to a new client component, the input context calls its endComposition method to commit or cancel composed text for the previous client component.
The input context creates an input method instance for each input method engine that its client components need to use. Separate input method instances are created for each input context instance. The instances are kept until the input context is disposed, so that the instances can keep information about the text that was entered in the window.
The input context also handles input method selection and the composition window.
An input context has a current input method and a current locale.
The input method framework provides two separate ways of selecting input methods and input locales:
The framework does not give preference to selections made either way, so the last successful selection made either way for an input context determines the current input method for an input context (note that selectInputMethod may fail if no available input method supports the requested locale).
Before switching to a new input method, the input context calls the old input method's endComposition method. The input context retains the old input method instance and reuses it when the same input method is selected again for this input context at a later point.
InputContext.selectInputMethod looks for an input method supporting the specified locale using the results of the InputMethodDescriptor.getAvailableLocales methods of all installed input methods. If the user has previously selected an input method with the specified locale from the user interface, this input method is chosen. Otherwise it is implementation dependent which input method is chosen if multiple input methods support the specified locale.
The user interface for selecting input methods is implementation dependent. It must provide the user with a list of all available input methods and let him/her select one of them. Where an input method supports multiple locales, the user interface also lets the user select the input locale (this facility may be omitted for host adapters if the host provides an alternative facility to select the input locale). Licensees developing Java runtime environments for their own platforms are encouraged to integrate the user interface with existing user interfaces for selecting keyboards or input methods.
On Windows and Solaris (with Motif-based AWT), the user interface consists of three parts: a "Select Input Method" menu item added to the Window menu in Motif or the System menu in Windows, a user-defined input method selection key, and a pop-up menu brought up by either the "Select Input Method" menu item or the input method selection key. The "Select Input Method" item is only shown if the Java runtime environment has more than one input method available or the input method supports multiple locales (the host input method adapter is treated as a single input method). The popup menu lists the available input methods, with supported locales of multi-locale input methods as submenus, and lets the user select from this list. The JREs for Solaris (with X-based AWT) and Linux do not provide the "Select Input Method" menu item, i.e., the pop up menu is only brought up by pressing the input method selection key. The input method selection key definition is stored persistently using two preferences, one defining the base key code value and the other defining the modifiers. The "modifiers" preference is optional. If a modifiers entry is defined without matching keyCode entry, that modifiers entry is ignored. The following table shows the contents.
|
key name (String) |
value (int) |
|---|---|
| "keyCode" | any java.awt.event.KeyEvent.VK_* value except VK_UNDEFINED |
| "modifiers" |
any combination of java.awt.event.InputEvent.*_MASK |
The JRE looks for these preferences first in the user's preference tree node /java/awt/im/selectionKey, then, if no definition could be found, in the system preference node with the same path.
For passive clients and for active clients using below-the-spot input, the input method framework provides a composition window. The window is opened when the input method starts sending composed text; it is closed when all text is committed. At most one composition window is open at any time even if multiple compositions (using separate input contexts) are currently in progress.
For below-the-spot input, the window is automatically positioned just below the insertion point where text will be inserted after being committed. The window's location is calculated first when the window is opened, then updated whenever committed text has been dispatched to the client component. If positioning the window below the insertion point would move it partially or entirely off-screen, it is moved above the insertion point.
The framework provides two mechanisms to communicate information between the current client component and the current input method:
Both event dispatching and calling InputMethodRequests methods are done indirectly through the input context. This lets the input context redirect information to a composition window if necessary. The composition window provides a full implementation of an active client, and so the input method can always assume it is interacting with an active client.
The following sections show the flow of events through the input method framework and explain the associated handling of input method requests. Four alternatives are described, depending on the kind of client component and the selected input style. All diagrams assume an input method implemented in the Java programming language using the input method engine SPI. Event flows for peered text components or native input methods are implementation dependent, may vary substantially, and are not shown.
Input events such as KeyEvent and MouseEvent are sent to the current input method through the InputContext object. If the input method uses the event for text composition, it marks the event consumed and generates an input method event to the component. The client component must have registered an InputMethodListener so it can handle InputMethodEvents coming from the input method and receive composed and committed text.
InputMethodRequests calls from the input method are forwarded to the object returned by the client component's getInputMethodRequests method.
Input events such as KeyEvent and MouseEvent are sent to the current input method through the InputContext object. If the input method uses the event for text composition, it marks the event consumed and generates an input method event. Since below-the-spot input is selected, the event is redirected to the composition window, which handles it. When text is committed (partially or entirely), the composition window generates a new input method event holding the committed text for the client component. The client component must have registered an InputMethodListener so it can handle InputMethodEvents, which in this case come from the composition window and only contain committed text.
InputMethodRequests calls from the input method that relate to the display of composed text (getTextLocation, getLocationOffset) are handled by the composition window; all others are forwarded to the object returned by the client component's getInputMethodRequests method. The composition window uses the client component's getTextLocation implementation to position itself.
Input events such as KeyEvent and MouseEvent are sent to the current input method through the InputContext object. If the input method uses the event for text composition, it marks the event consumed and generates an input method event. The event is redirected to the composition window, which handles it. When text is committed, the composition window translates it into key events for the actual client's key event listener. Only KEY_TYPED events are sent.
InputMethodRequests calls from the input method are handled by the composition window. Calls hat relate to the display of composed text (getTextLocation, getLocationOffset) are handled based on information about the composed text being displayed. All other calls are handled at all times based on the assumption that composition has just started and there's no committed text, because the composition window does not have access to text in the client component.
Events for non-clients do not go to the input context. All events go straight to the component's listeners (here, the key listener).


Configuration
The config
folder should contain your application config files. Files in this folder
are automatically registered as configuration files. As example, if you create an config/bar.php
,
you can access it using config('bar')
.
The configuration files config/app.php
and config/commands.php
are used internally by the
framework, and can not be removed.
The config/app.php
contains information related to your application:
| Property | Description |
|---|---|
| name | This value is the name of your application |
| version | This value determines the "version" your application is currently running in. |
| production | This value determines the "environment" your application is currently running in. |
| providers | The service providers listed here will be automatically loaded on your application. |
The default command of your application contains a list of commands. That list of commands
can be configured using config/commands.php
:
| Property | Description |
|---|---|
| default | The default application command when no command name is provided. |
| paths | The "paths" that should be loaded by the console's kernel. |
| add | Here you may specify which commands classes you wish to include. |
| hidden | Adds the provided commands, but make them hidden. |
| remove | Removes the list of commands provided. |


2
Judgment on Judah's Enemies
1 Gather together, yes, gather, O shameless nation,
2 before the decree takes effect
—before the day passes away like chaff—
before there comes upon you
the burning anger of the LORD,
before there comes upon you
the day of the anger of the LORD.
3 Seek the LORD, all you humble of the land,
who do his just commands;
seek righteousness; seek humility;
perhaps you may be hidden
on the day of the anger of the LORD.
4 For Gaza shall be deserted,
and Ashkelon shall become a desolation;
Ashdod's people shall be driven out at noon,
and Ekron shall be uprooted.
5 Woe to you inhabitants of the seacoast,
you nation of the Cherethites!
The word of the LORD is against you,
O Canaan, land of the Philistines;
and I will destroy you until no inhabitant is left.
6 And you, O seacoast, shall be pastures,
with meadows for shepherds
and folds for flocks.
7 The seacoast shall become the possession
of the remnant of the house of Judah,
on which they shall graze,
and in the houses of Ashkelon
they shall lie down at evening.
For the LORD their God will be mindful of them
and restore their fortunes.
8 “I have heard the taunts of Moab
and the revilings of the Ammonites,
how they have taunted my people
and made boasts against their territory.
9 Therefore, as I live,” declares the LORD of hosts,
the God of Israel,
“Moab shall become like Sodom,
and the Ammonites like Gomorrah,
a land possessed by nettles and salt pits,
and a waste forever.
The remnant of my people shall plunder them,
and the survivors of my nation shall possess them.”
10 This shall be their lot in return for their pride,
because they taunted and boasted
against the people of the LORD of hosts.
11 The LORD will be awesome against them;
for he will famish all the gods of the earth,
and to him shall bow down,
each in its place,
all the lands of the nations.
12 You also, O Cushites,
shall be slain by my sword.
13 And he will stretch out his hand against the north
and destroy Assyria,
and he will make Nineveh a desolation,
a dry waste like the desert.
14 Herds shall lie down in her midst,
all kinds of beasts;
even the owl and the hedgehog
shall lodge in her capitals;
a voice shall hoot in the window;
devastation will be on the threshold;
for her cedar work will be laid bare.
15 This is the exultant city
that lived securely,
that said in her heart,
“I am, and there is no one else.”
What a desolation she has become,
a lair for wild beasts!
Everyone who passes by her
hisses and shakes his fist.


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--- layout: post date: 2010-05-10 time: "09:00:00" authors: ["Greg Wilson"] title: "Day 6: Screencast With Point-Form Notes" tags: ["Content"] ---
Jason Montojo and I put together an introductory screencast about spreadsheets today. Unlike our previous screencasts, this one is accompanied by point-form slide-style notes instead of prose paragraphs. We'd be grateful for your feedback: are notes of this kind useful? Are they comprehensible without watching the screencast itself? If the notes were available in slide format (Keynote, PowerPoint, Impress, or plain old PDF) would they be enough for you to lecture with?


Omar Shehata — St. Olaf College — 2018
Linear Discriminant Analysis, or LDA, is a useful technique in machine learning for classification and dimensionality reduction. It's often used as a preprocessing step since a lot of algorithms perform better on a smaller number of dimensions.
The idea that you can take a rich 10 dimensional space and reduce it to 3 dimensions, while keeping most of the information intact, has always seemed a bit like magic to me. I like to think of LDA as a mathematical tool that allows you to peer into spaces that cannot directly be seen. It's like piercing the veil of the unknowable.
In this article, I'd like to explore the fascinating geometric side of this popular statistical technique. I found it much easier to understand once I got to see it this way, and I hope it will be useful for you as well.
For geometry is the gate of science, and the gate is so low and small that one can only enter it as a child.— William K. Clifford
You're given high dimensional data and you're trying to reduce it. This need not be anything esoteric. It could be data about houses on the market with price, age, size, distance to public transport and number of rooms. That's already 5 dimensions — too many to visualize all at once.
Like any good mathematician, you can start with a simple approach and explore its consequences. What happens if you just drop one of the dimensions?
Let's see what this looks like. Here is some made up data about houses that's only in 2 dimensions. Blue dots could be houses that were sold and red ones are still looking for a buyer.
The graph on the left is the original data, and the line on the right is what it would look like after we drop it 1 dimension by just ignoring the Y axis.
We've successfully reduced our data, but remember that our goal is to reduce it without losing information. In this case, you can easily tell that there is a pattern to the data when looking at the 2D view. This pattern is completely lost in the 1D view.
Another way to think about this is to consider prediction. Given a new unclassified dot in the 2D view, you can easily guess whether it should be blue or red based on whether it's closer to the upper right or bottom left cluster. This would be much harder if you were given just the 1D view. In other words, our prediction algorithms would perform worse on the reduced data.
We've sacrificed accuracy for simplicity, but maybe there's a better way to reduce it. Perhaps we could drop the X axis instead?
You can try that out by clicking and dragging in the 2D graph below to rotate the projection line.
You can click here to see that dropping the X axis isn't much better, but these aren't the only two choices. Geometrically, we have an infinite number of lines we can project on!
Out of all these possible lines, the line y = 0 provides the best possible separation. This best line is what LDA allows us to find.
The reduced data is only 1 dimensional, but it captures the important insight of the higher dimensional view. Think again about prediction. If we're looking at the 1D view, all we have to do to predict whether a new point should be blue or red is just see whether it's on the right or left side.
This means that not only would our prediction algorithms perform just as good on the reduced data, it would be computationally faster (because there's less data to process)! Strangely enough, by removing information, we've made it easier to gain insight.
To build on this intuition, let's go one dimension up and look at an example that we can still visualize in its unreduced form.
Here we've got 3D data, this time with 3 classes, and we want to reduce it to 2D. The diagram below shows one such projection.
If you're using a keyboard, you can rotate the projection plane with W/S, A/D and Q/E.
Again, there's an obvious pattern to the data in its original form that's lost in the reduced view. Finding the best projection plane by hand that retains this pattern is a harder problem now because there's a much greater number of possible projection planes to explore in 3D compared to projection lines in 2D.
For this dataset, this best plane is x + y + z = 0. You can see how this gives us a clean separation in 2D compared to an arbitrary plane like this. Again, this best projection is what LDA allows us to find.
Now here's the real test. What if we had 4D data that we couldn't even visualize? Below is what it looks projected down to 2D, (you can think of it as first projecting into 3D and then to 2D).
You can rotate the projection plane in 4D space with the key pairs W/S, A/D, Q/E, J/L and I/K or if you're on a mobile device by clicking on the numbers and typing in an angle.
At first glance, this looks like an entangled mess. But we know that we might be able to find a projection that reveals the higher dimensional structure to us. I say might because we don't actually know what the original data looks like. We can keep rotating all the angles, and we might find something that looks like it has a good separation, but how do we know when we've found the best one?
So far I've been performing LDA behind the scenes to produce the answers. We will now peek behind the curtain and devise the algorithm that will allow us to make such bold claims as this is the best possible separation for this data.
This is definitely the most exciting part of mathematics in my opinion. It's the creative process of starting with an open-ended question like “How do we look at high dimensional data?” and ending up with a tool that allows us to do just that for any dataset. Rather than spoil the punchline, I'll try to guide you a little further.
The first step is to recognize this as an optimization problem. It's hard to think in the abstract, but we can rely on the intuition we've built up so far. Think back to the simple 2D case. We had a closed set of solutions (we knew the angle of the projection line was between 0 and 360 degrees), and we were trying to pick the best one.
But what exactly does “best” mean? Intuitively it means the best separation between classes in the reduced data. So far we've been judging this visually. To solve this as an optimization problem, we need to come up with a metric. This metric should be a number for any given projection that's high when it has good separation, and low otherwise. If we have that, it becomes a standard optimization problem of finding the maximum that we can easily solve with existing techniques.
So what sort of formula can we come up with that would give us a high value for the projection below:
Compared to a low value for this projection:
The simplest example of such a metric could be to simply compute the difference between the mean of each class in the reduced data. This works fairly well as a measure of how good the separation is in the above cases. But consider the case below, which I've constructed such that the mean of each class is the same as it is in the above dataset.
Since the means of the classes in these two datasets are equal, our metric gives them the same number, which implies that this last separation is as good as the best separation above, which is clearly not true. A badly designed metric like this would lead our optimization algorithm astray.
Can you think of a better way to numerically differentiate a good separation from a bad one? Pretend like it's the 1930's and no known solution for this exists. Give it some thought. What would you come up with?
If you came up with a solution that took into account both the means of the classes as well as the variance (spread), then give yourself a pat on the back. This is exactly what Ronald Fisher came up with 1936.
The formula he came up with is known as Fisher's Linear Discriminant and is defined as:
$$\frac{(\mu_1 - \mu_2)^2}{S_1 + S_2}$$
Where $\mu_i$ is the mean of class $i$. $S_i$ is the “scatter” of class $i$ and is defined as $S_i = \sum_{x\in Class_i} (x - \mu_i)^2$. It's a measure of how spread out the data is (by summing up how far each point is from the mean).
We want to maximize Fisher's Linear Discriminant, which means we want to favor projections that have greater distance between the means (a big numerator) and aren't very spread out (a small denominator).
To see how it works, as always, let's look at a concrete example. Use your mouse or finger in the diagram below to see the computed score for any projection.
$$\frac{(\mu_1 - \mu_2)^2}{S_1 + S_2}$$
$$= \frac{(0.00 - 0.00)^2}{00 + 00}$$
$$= 0$$
Can you see that projections that create better separation get higher scores? More importantly, can you see why?
One thing I discovered by playing around with this diagram is that there's only one way for a projection to have a score of 0, do you see what it is?
Notice how nothing in this formula is specific to the 2D case. It's always the difference of the means divided by the sum of the scatter, whether we're working with 2, 4 or 10 dimensions.
This particular metric is what Fisher chose, but it's certainly not the only possible one. A different metric could optimize for different results (perhaps you care a little more about minimizing scatter so you multiply the denominator by a large number to give it more weight).
I think by understanding that the design of the formulas we use is often a choice with consequences as opposed to just a given absolute, we unlock a power and joy in mathematics.
And that's how LDA works!
Initially created for the Explorable Explanations jam. The source code for this page and all interactive diagrams is available on GitHub and is public domain. The teacher's guide comes with some tips for using it in the classroom, like how to drag and drop your own data into the article.
Special thanks to Professor Matt Richey for his inspiring lectures on LDA in the Algorithms for Decision Making class.
Resources & References


1
2
3
Congratulations, you've connected with each other.
Name :
Anushka Mudholkar
Country of origin :
India
My story :
Just a kind angel dealing with stubborn computers.
Back to chat
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Connect
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Full-time pirate with passion for digital design stuff.
I spend most of my time designing and developing websites and app interfaces and many kind of digital assets like graphics, videos and music.
Now working for:
Development
HTML • SCSS • jQuery


--- layout: default # title: No title should not show up in header permalink: 03-01-install.html ---
timeoff-management
Application for Virtual System Testing
Commands to execute in directory 03-virtual-system-test/
:
timeoff-management
Applicationlts/boron
nvm install --lts
timeoff-management
git Repositorygit clone https://github.com/timeoff-management/application timeoff
Run
npm install
to install packages used by the application
Launch a application server in a new termial window with the command
(cd timeoff; npm start)
and open a browser with the address http://localhost:3000/


Firstly a user details form For name, surname and city should appear if its not stored on the device already.
Have a look in src/providers/storage
2nd need a form here to take in weather values and submit them to the weather service
Take a look at the src/providers/api
directory to get the api functions
One of the requirements of this test is to see the developer's understanding of observables and using observables in Angular templates
Another interesting part of this test is checking the use if strict typing


Transactions are a change of state
💁🏻♀ Mary sells a 📠 scanner to 💁♂ Marc for 💶 EUR 80
👉 data points:
Parties:
💁🏻♀ Mary
💁♂ Marc
Transaction type:
Sale 👉 Transfer of ownership and transfer of money
Object:
📠 Scanner
Price:
💶 Currency: EUR
💸 Amount: 80


A Simple Characters Counter
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appear
0
times in text.


Hi,The interview is not scheduled please try again and also check your internet connection. Try to schedule an interview again.If it does not work please email to us.


Hello from Waterloo iGEM 2015!
We are still in the process of setting up our wiki, but please check out our website and blog for updates!
Before you start:
Please read the following pages:
Styling your wiki
You may style this page as you like or you can simply leave the style as it is. You can easily keep the styling and edit the content of these default wiki pages with your project information and completely fulfill the requirement to document your project.
While you may not win Best Wiki with this styling, your team is still eligible for all other awards. This default wiki meets the requirements, it improves navigability and ease of use for visitors, and you should not feel it is necessary to style beyond what has been provided.
Editing your wiki
On this page you can document your project, introduce your team members, document your progress and share your iGEM experience with the rest of the world!
See tips on how to edit your wiki on the Template Documentation page.
Templates
This year we have created templates for teams to use freely. More information on how to use and edit the templates can be found on the Template Documentation page.
Tips
This wiki will be your team’s first interaction with the rest of the world, so here are a few tips to help you get started:
- State your accomplishments! Tell people what you have achieved from the start.
- Be clear about what you are doing and how you plan to do this.
- You have a global audience! Consider the different backgrounds that your users come from.
- Make sure information is easy to find; nothing should be more than 3 clicks away.
- Avoid using very small fonts and low contrast colors; information should be easy to read.
- Start documenting your project as early as possible; don’t leave anything to the last minute before the Wiki Freeze. For a complete list of deadlines visit the iGEM 2015 calendar
- Have lots of fun!
Inspiration
You can also view other team wikis for inspiration! Here are some examples:
- 2014 SDU Denmark
- 2014 Aalto-Helsinki
- 2014 LMU-Munich
- 2014 Michigan
- 2014 ITESM-Guadalajara
- 2014 SCU-China
Uploading pictures and files
You can upload your pictures and files to the iGEM 2015 server. Remember to keep all your pictures and files within your team's namespace or at least include your team's name in the file name.
When you upload, set the "Destination Filename" to Team:YourOfficialTeamName/NameOfFile.jpg
. (If you don't do this, someone else might upload a different file with the same "Destination Filename", and your file would be erased!)


Your name is Peter Smith Jenkins. You are a retired software engineer, with 3 kids,
6 grandchildren and currently live in Seattle, Washington.
Since your retirement, you
have volunteered with a few non-profit organizations and spend your time
with your grandchildren, playing board games, doing yoga and watch soap operas.
Listen to some of your favorite songs from the past :)


M, 46 year(s) - 1969-04-11
| Test | Result | Date |
|---|---|---|
| Microscopic AFB | TB positive | 2016-01-15 15:01:59 |
| X-Ray | Pulmonary TB | 2016-01-22 11:29:20 |
| TB Culture | TB positive | 2016-02-13 13:13:13 |
| Item | Dose | Frequency | Start date |
|---|---|---|---|
| Rifampicin (R) | 150 mg | 7 times a week | 11.Feb.2016 |


Bucky Badger, Goldy Gopher duke it out on Twitter before Saturday's rivalry game
by Logan RudeMADISON, Wis. - Bucky Badger and Goldy Gopher are duking it out on Twitter ahead of the highly anticipated matchup between the Wisconsin Badgers and Minnesota Gophers that will decide which team goes on to the Big 10 Championship game.
Things kicked off with a tweet from Goldy Gopher's account Sunday morning, throwing a light jab at the Badgers' preparation for the Saturday game.
Bucky fearlessly responded by joining in on a recent meme trend, equating Minnesota's mascot to the pesky rodent from Caddyshack.
Then, both mascots got into an argument about the proper (and improper) ways to consume two beloved treats: orange juice and pizza.
Goldy the Gopher responded with a devastating blow, claiming Bucky doesn't help elderly women cross the road.
The final blow (for now) belongs to Bucky with a fierce rebuttal: a screenshot of Goldy asking for Bucky's log-in information for DisneyPlus.
While the tweets are all in good spirit, there's a lot on the line for both teams.
In addition to deciding the winner of the Big 10 West title, Saturday's game will also decide which team holds on to Paul Bunyan's Axe for the next year. In 2018, the Gophers beat the Badgers for the first time in 15 years. Now, the Badgers are looking to take it back and guarantee a ticket to the Big Ten Championship game, where the winner will play Ohio State.
Kickoff at TCF Bank Stadium is at 2:30 p.m.


Code for describing and manipulating scuba diving profiles (depth-time curves) and decompression models, for calculating the predictions of decompression models, for calculating maximum no-decompression time and decompression tables, and for performing mixed gas calculations.
| Version: | 1.9-1 |
| Depends: | R (≥ 3.3) |
| Imports: | utils, graphics, stats |
| Published: | 2017-04-03 |
| Author: | Adrian Baddeley [aut, cre], Vittorio Broglio [ctb, dtc], Pedro Antonio Neves [ctb, dtc], Andrew Bassom [ctb], Peter Buzzacott [ctb] |
| Maintainer: | Adrian Baddeley <Adrian.Baddeley at curtin.edu.au> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | scuba results |
| Reference manual: | scuba.pdf |
| Vignettes: |
Introduction to the scuba package |
| Package source: | scuba_1.9-1.tar.gz |
| Windows binaries: | r-devel: scuba_1.9-1.zip, r-release: scuba_1.9-1.zip, r-oldrel: scuba_1.9-1.zip |
| OS X binaries: | r-release: scuba_1.9-1.tgz, r-oldrel: scuba_1.9-1.tgz |
| Old sources: | scuba archive |
Please use the canonical form https://CRAN.R-project.org/package=scuba to link to this page.


package utils
- Alphabetic
- Public
- All
Type Members
-
class
JenaTripleToNTripleString extends Function[Triple, String] with Serializable
Convert a Jena Triple to an N-Triples string.
Convert a Jena Triple to an N-Triples string.
- Note
it turns out, that it might be more efficient to use the Jena stream based writer API per partition.
-
trait
Logging extends AnyRef
Utility trait for classes that want to log data.
Utility trait for classes that want to log data. Creates a SLF4J logger for the class and allows logging messages at different levels using methods that only evaluate parameters lazily if the log level is enabled.
-
class
NTriplesStringToJenaTriple extends Function[String, Triple] with Serializable
Convert an N-Triples line to an RDFTriple object.
-
class
NTriplesStringToRDFTriple extends (String) ⇒ Option[RDFTriple] with Serializable
Convert an N-Triples line to an RDFTriple object.
- trait Profiler extends Logging
-
class
RDFTripleToNTripleString extends Function[RDFTriple, String] with Serializable
Convert an RDFTriple object to an N-Triple string.
-
class
TriplePatternOrdering extends Ordering[TriplePattern]
Ordering for triple patterns.
Value Members
-
object
CollectionUtils
Some utility methods for Scala collections.
- object EntailmentRegimes
- object GraphUtils
- object NodeTableBuilder
-
object
PredicateUtils
Some utils for logical combinations of boolean functions.
-
object
RDFTripleOrdering extends Ordering[RDFTriple]
Comparator for RDF triples.
-
object
RuleUtils
Utility class for rules.
-
object
Tabulator
Utility to print table to console (taken from http://stackoverflow.com/questions/7539831/scala-draw-table-to-console)
-
object
TripleUtils
Utility class for triples.
-
object
Tuple0 extends Product with Serializable
A 0-tuple.


func NewResolver(preferredPeers ...string) peerresolver.Provider
NewResolver returns a new "prefer peer" resolver provider.
PeerResolver is a peer resolver that determines which peers are suitable based on block height, although will prefer the peers in the provided list (as long as their block height is above a configured threshold). If none of the peers in the provided list are suitable then an attempt is made to select a peer from the current org will be selected. If none of the peers from the current org are suitable then a peer from another org is chosen.
type PeerResolver struct {
// contains filtered or unexported fields
}
func New(dispatcher service.Dispatcher, context context.Client, channelID string, preferredPeers []string, opts ...options.Opt) *PeerResolver
New returns a new "prefer peer" resolver.
func (r *PeerResolver) Resolve(peers []fab.Peer) (fab.Peer, error)
Resolve uses the MinBlockHeight resolver to choose peers but will prefer the ones in the list of preferred peers.
func (p PeerResolver) SetLoadBalancePolicy(value lbp.LoadBalancePolicy)
func (r *PeerResolver) ShouldDisconnect(peers []fab.Peer, connectedPeer fab.Peer) bool
ShouldDisconnect determines whether the connected peer should be disconnected and reconnected to the preferred peer.


Downloading easyb
easyb is distributed as a archive containing an easyb jar file along with its associated dependencies (including Groovy). easyb plug-ins (like DbUnit) are packaged separately-- you can download them with an associated release here as well.
The current version of easyb is 0.9.8 (October 2010) and can be downloaded from easyb's project site at Google code. Note, there are different archives for downloading-- easyb itself and various associated projects like the IntelliJ plugin.
Older public releases can be found on easyb's Google code project site.
If you have any questions or comments, drop us a note on our mailing list.


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| Packages that use OntopiaRuntimeException | |
|---|---|
| net.ontopia.persistence.proxy | An object-relational mapping framework. |
| net.ontopia.topicmaps.cmdlineutils.utils | |
| net.ontopia.topicmaps.core | Provides interfaces for topic map objects; the topic map API for all Ontopia topic map implementations. |
| net.ontopia.topicmaps.db2tm | The implementation of and public API to the DB2TM module for converting relational data (in CSV files or RDBMSs) to Topic Maps. |
| net.ontopia.topicmaps.entry | High level interfaces for locating and maintaining references to topic maps. |
| net.ontopia.topicmaps.impl.utils | INTERNAL: Classes that are used by many implementations. |
| net.ontopia.topicmaps.utils.jtm | This package provides support for the JSON Topic Map Notation (or JTM) format for topic maps. |
| net.ontopia.topicmaps.utils.rdf | This package provides support for RDF (Resource Description Framework), a topic map-like data model for metadata defined by the W3C. |
| net.ontopia.topicmaps.viz | |
| net.ontopia.topicmaps.webed.core | The core interfaces of the Web Editor Framework; the main interfaces used to build Web Editor applications. |
| net.ontopia.topicmaps.webed.impl.basic | The basic implementation of the core interfaces belonging to Ontopia's web editor framework, except the classes related to the to the implementation of actions (which are in their own package structure). |
| net.ontopia.topicmaps.xml | Classes for importing and exporting topic maps in the XML interchange format. |
| net.ontopia.utils | Contains utility classes and generic interfaces. |
| ontopoly.model | |
| ontopoly.utils |
| Uses of OntopiaRuntimeException in net.ontopia.persistence.proxy |
|---|
| Subclasses of OntopiaRuntimeException in net.ontopia.persistence.proxy | |
|---|---|
class |
IdentityNotFoundException
INTERNAL: Thrown when an object was not found in the database. |
class |
PersistenceRuntimeException
INTERNAL: Thrown when persistence related problems occur. |
class |
ReadOnlyTransactionException
INTERNAL: Thrown when modifications are attempted on a read-only transaction. |
| Uses of OntopiaRuntimeException in net.ontopia.topicmaps.cmdlineutils.utils |
|---|
| Methods in net.ontopia.topicmaps.cmdlineutils.utils that throw OntopiaRuntimeException | |
|---|---|
static TopicMapIF |
TopicMapReader.getTopicMap(String infile)
|
| Uses of OntopiaRuntimeException in net.ontopia.topicmaps.core |
|---|
| Subclasses of OntopiaRuntimeException in net.ontopia.topicmaps.core | |
|---|---|
class |
ConstraintViolationException
PUBLIC: Thrown when an object model constraint is violated. |
class |
CrossTopicMapException
PUBLIC: Thrown when a topic map object is attempted used in more than a single topic maps. |
class |
NotRemovableException
PUBLIC: Thrown when an object is attempted removed, but cannot. |
class |
ObjectRemovedException
PUBLIC: Thrown when a deleted topic map object is attempted reassigned to a property in a topic map. |
class |
ReadOnlyException
PUBLIC: Thrown when changes are attempted made on read-only objects. |
class |
StoreDeletedException
PUBLIC: An exception that is thrown when a store has been deleted. |
class |
StoreNotOpenException
PUBLIC: An exception that is thrown when parts of a store is accessed without the store being open. |
class |
TransactionNotActiveException
PUBLIC: An exception that is thrown when a transaction is accessed without the transaction being active. |
class |
UniquenessViolationException
PUBLIC: Thrown when a uniqueness constraint is violated. |
| Uses of OntopiaRuntimeException in net.ontopia.topicmaps.db2tm |
|---|
| Subclasses of OntopiaRuntimeException in net.ontopia.topicmaps.db2tm | |
|---|---|
class |
DB2TMConfigException
INTERNAL: Thrown when configuration errors are detected by DB2TM. |
class |
DB2TMException
INTERNAL: Thrown when runtime errors occur inside DB2TM. |
class |
DB2TMInputException
INTERNAL: Thrown when data input errors are detected by DB2TM. |
| Uses of OntopiaRuntimeException in net.ontopia.topicmaps.entry |
|---|
| Subclasses of OntopiaRuntimeException in net.ontopia.topicmaps.entry | |
|---|---|
class |
ReferenceNotOpenException
INTERNAL: An exception that is thrown when a topic map reference is accessed after the reference has been close. |
| Uses of OntopiaRuntimeException in net.ontopia.topicmaps.impl.utils |
|---|
| Subclasses of OntopiaRuntimeException in net.ontopia.topicmaps.impl.utils | |
|---|---|
class |
PhantomAccessException
INTERNAL: Thrown when a phantom object is being accessed in a way that is not allowed. |
| Uses of OntopiaRuntimeException in net.ontopia.topicmaps.utils.jtm |
|---|
| Subclasses of OntopiaRuntimeException in net.ontopia.topicmaps.utils.jtm | |
|---|---|
class |
JTMException
INTERNAL: Exception used to indicate errors while importing JTM topic maps. |
| Uses of OntopiaRuntimeException in net.ontopia.topicmaps.utils.rdf |
|---|
| Subclasses of OntopiaRuntimeException in net.ontopia.topicmaps.utils.rdf | |
|---|---|
class |
RDFMappingException
PUBLIC: Thrown when an error occurs during RDF-to-topic maps conversion. |
| Uses of OntopiaRuntimeException in net.ontopia.topicmaps.viz |
|---|
| Subclasses of OntopiaRuntimeException in net.ontopia.topicmaps.viz | |
|---|---|
class |
VizigatorReportException
INTERNAL: Reports known error conditions, that can typically be corrected by the user. |
| Uses of OntopiaRuntimeException in net.ontopia.topicmaps.webed.core |
|---|
| Subclasses of OntopiaRuntimeException in net.ontopia.topicmaps.webed.core | |
|---|---|
class |
ActionRuntimeException
PUBLIC: An exception that is thrown when something goes wrong while an action is being executed. |
| Uses of OntopiaRuntimeException in net.ontopia.topicmaps.webed.impl.basic |
|---|
| Subclasses of OntopiaRuntimeException in net.ontopia.topicmaps.webed.impl.basic | |
|---|---|
class |
ActionValidationException
INTERNAL: Thrown by when there is a validation problem relating to an action. |
class |
NoActionDataFoundException
INTERNAL: Thrown by when no action data is found for the given request id. |
| Uses of OntopiaRuntimeException in net.ontopia.topicmaps.xml |
|---|
| Subclasses of OntopiaRuntimeException in net.ontopia.topicmaps.xml | |
|---|---|
class |
InvalidTopicMapException
PUBLIC: Thrown when an invalid topic map is processed. |
| Uses of OntopiaRuntimeException in net.ontopia.utils |
|---|
| Subclasses of OntopiaRuntimeException in net.ontopia.utils | |
|---|---|
class |
OntopiaLicenseException
INTERNAL: An exception class that is thrown when licence related issues occur. |
class |
OntopiaUnsupportedException
INTERNAL: Thrown to indicate that the requested operation is not supported. |
| Uses of OntopiaRuntimeException in ontopoly.model |
|---|
| Subclasses of OntopiaRuntimeException in ontopoly.model | |
|---|---|
class |
OntopolyModelRuntimeException
|
| Uses of OntopiaRuntimeException in ontopoly.utils |
|---|
| Subclasses of OntopiaRuntimeException in ontopoly.utils | |
|---|---|
class |
NoSuchTopicException
|
|
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| PREV NEXT | FRAMES NO FRAMES |


Chapter 12: Where next? First let’s make the image on the cover of this book-- lots of random spheres: This gives: An interesting thing you might note is the glass balls don’t really have shadows which makes them look like they are floating. This is not a bug (you don’t see glass balls much in real life, where they also look a bit strange and indeed seem to float on cloudy days). A point on the big sphere under a glass ball still has lots of light hitting it because the sky is re-ordered rather than blocked. You now have a cool ray tracer! What next? 1. Lights. You can do this explicitly, by sending shadow rays to lights. Or it can be done implicitly by making some objects emit light, 2. biasing scattered rays toward them, and then downweighting those rays to cancel out the bias. Both work. I am in the minority in favoring the latter approach. 3. Triangles. Most cool models are in triangle form. The model I/O is the worst and almost everybody tries to get somebody else’s code to do this. 4. Surface textures.  Pretty easy and a good thing to do. 5. Solid textures. Ken Perlin has his code online. Andrew Kensler has some very cool info at his blog. 6. Volumes and media. Cool stuff and will challenge your software architecture. I favor making volumes have the hitable interface and probabilistically have intersections based on density. Your rendering code doesn’t even have to know it has volumes with that method. 7. Parallelism. Run N copies of your code on N cores with different random seeds. Average the N runs. This averaging can also be done hierarchically where N/2 pairs can be averaged to get N/4 images, and pairs of those can be averaged. That method of parallelism should extend well into the thousands of cores with very little coding. Have fun, and please send me your cool images!


Preferences |
Top Previous Next |
|
The Preferences screen has four views: General, Navigation, Graphics, Camera. Use them to customize your local instance of Revizto. For project-level optimization options see the Project Optimization section. To immediately see how your settings affect the model, turn on the Transparency switch. When the switch is on, the current view becomes translucent allowing to see the model through. General Normally, this view is the ending point of the installation process. Use it to define path to the working folder, set language preferences, measurement units and default view (i.e. the screen loaded at launch).
This view allows you to customize the navigation mode. By default, Revit navigation mode is used, but you have four more options.
Revit mode
SketchUp mode
Hybrid mode This mode uses Autodesk Forge navigation settings.
Navisworks Walk
Note: Revizto also supports 3DConnexion devices for navigation. Game mode Note that for the Game mode additional mouse settings are available.
In the fly mode you are flying without collisions. When walk mode is switched on, you will move with collisions and gravity. The walk mode uses controls from the game navigation mode. For additional details see the video tutorial. This view allows you to customize the quality of graphics and visualization mode. You can choose of one of the six modes; the recommended option is Good which compromises between response speed and visualization quality. The default quality option is selected by the built-in algorithm that evaluates your PC at the launch. For each mode additional settings are available to fine-tune your visual experience. Basically, these are standard Unity effects. SSAO and Realtime Shadows regulate the way shadows are rendered in the model. Tone Mapping and HDR options allow modifying the dynamic ways. Tone Mapping is considered a less powerful tool. By turning on/off SSAO, Realtime Shadows and Tone Mapping you can regulate the quality and type of shadows in the model. Note that SSAO is more taxing on the CPU capacity and Realtime Shadows take more RAM. It is recommended to switch off both or one of them, if PC capacity is low or model is too large. Turn on Downscale rendering resolution if you are using a powerful high-resolution display with higher pixel density. Otherwise long delays are likely to occur. With this option on, Revizto will choose the nearest best resolution option to promptly render views combining adequate visualization and navigation speed. Note that some of these settings are disabled when in 3D section cut/box mode. This view allows you to customize camera positioning: how far you can see, how wide your field of view is, how high the camera is. The defaults match an average human height. Tips: Higher visibility distance can cause rippling shadows. To remedy for it, turn off the Realtime Shadows and SSAO in the Graphics tab. Turn Transparency on to make the current view translucent and see whether or not your settings are applied the way you want without quitting Preferences. For some preferences hot keys are available in most view modes.
|


Contributing¶
Contributions are welcome, and they are greatly appreciated! Every little bit helps, and credit will always be given.
You can contribute in many ways:
Types of Contributions¶
Report Bugs¶
Report bugs at https://github.com/llango/shaphinx/issues.
If you are reporting a bug, please include:
Your operating system name and version.
Any details about your local setup that might be helpful in troubleshooting.
Detailed steps to reproduce the bug.
Fix Bugs¶
Look through the GitHub issues for bugs. Anything tagged with “bug” and “help wanted” is open to whoever wants to implement it.
Implement Features¶
Look through the GitHub issues for features. Anything tagged with “enhancement” and “help wanted” is open to whoever wants to implement it.
Write Documentation¶
A Sphinx Theme could always use more documentation, whether as part of the official A Sphinx Theme docs, in docstrings, or even on the web in blog posts, articles, and such.
Submit Feedback¶
The best way to send feedback is to file an issue at https://github.com/llango/shaphinx/issues.
If you are proposing a feature:
Explain in detail how it would work.
Keep the scope as narrow as possible, to make it easier to implement.
Remember that this is a volunteer-driven project, and that contributions are welcome :)
Get Started!¶
Ready to contribute? Here’s how to set up shaphinx for local development.
Fork the shaphinx repo on GitHub.
Clone your fork locally:
$ git clone git@github.com:your_name_here/shaphinx.git
Install your local copy into a virtualenv. Assuming you have virtualenvwrapper installed, this is how you set up your fork for local development:
$ mkvirtualenv shaphinx $ cd shaphinx/ $ python setup.py develop
Create a branch for local development:
$ git checkout -b name-of-your-bugfix-or-feature
Now you can make your changes locally.
When you’re done making changes, check that your changes pass flake8 and the tests, including testing other Python versions with tox:
$ flake8 shaphinx tests $ python setup.py test or pytest $ tox
To get flake8 and tox, just pip install them into your virtualenv.
Commit your changes and push your branch to GitHub:
$ git add . $ git commit -m "Your detailed description of your changes." $ git push origin name-of-your-bugfix-or-feature
Submit a pull request through the GitHub website.
Pull Request Guidelines¶
Before you submit a pull request, check that it meets these guidelines:
The pull request should include tests.
If the pull request adds functionality, the docs should be updated. Put your new functionality into a function with a docstring, and add the feature to the list in README.rst.
The pull request should work for Python 3.5, 3.6, 3.7 and 3.8, and for PyPy. Check https://travis-ci.com/llango/shaphinx/pull_requests and make sure that the tests pass for all supported Python versions.
Deploying¶
A reminder for the maintainers on how to deploy. Make sure all your changes are committed (including an entry in HISTORY.rst). Then run:
$ bump2version patch # possible: major / minor / patch
$ git push
$ git push --tags
Travis will then deploy to PyPI if tests pass.


Both "predicted" and "desired" can be either scalars or sequences,
but have to be of the same length.
difference = N.subtract(predicted, desired)
return sqrt(N.dot(difference, difference))
Both "predicted" and "desired" can be either scalars or sequences,
but have to be of the same length.
return N.sqrt(N.mean(N.subtract(predicted, desired)**2))
class MeanMismatchErrorFx(ErrorFunction):


Title
{{announcement.title}}
Content
{{announcement.content}}
Creation Date
{{announcement.creationDate | date:'medium'}}
Type
{{announcement.type}}
Location
{{announcement.location}}
Contact
{{announcement.contact}}
Announcement Date
{{announcement.announcementDate | date:'medium'}}


ATTENTION PLS, Pls go through and reply me now I am writing this letter in confidence believing that if it is the wish of God for you to help me and my family, God almighty will bless and reward you abundantly. My family and I are true Christians and worship's God truthfully. I got your contact through Internet during my research on some one who could help us. I am a female university student from Accra Ghana, I am 25 yrs old. I do like any person who can be caring, loving and home oriented. I will love to have a long-term relationship with you and to know more about you. I would like to build up a solid foundation with you in time coming if you can be able to help me in this transaction. Well, my fathers died earlier seven months ago and left my mother I and my junior brother behind. He was a king, which our town citizens titled him before his death. I was a Princess to him and I and my brother are the only people who can take Care of his wealth now because my mother is not literate enough to know all my fathers wealth behind. He left up to USD 5, 350, 000.00 dollars (FIVE MILLION, THREE HUNDRED AND FIFTY THOUSAND US DOLLARS,AND ABOUT 100 KG OF ALLUVIA GOLD DUST)with a security company, and I dont know how and what I will do to invest this money somewhere in abroad,and process the sale of carat so that my fathers kindred will not take over what belongs to my father and our family, which they were planning to do without my presence because I am a female as stated by our culture in the town. That is why I felt happy when I saw your contact which I strongly believe that by the grace of God, you will help me secure and invest this money. I thereby need your help in bringing the box contaning the money out from the security company, based on your reply I will furnish you with more details on how we can proceed.  If you can handle this project sincerely and also willing to assist me in lifting this fund, kindly reach me and I will let you know the next step to take towards actualizing this transaction as quickly as possible Please, note that this transaction is 100% risk free.I look forward hearing from you soonest. Yours sincerely Princess Jamie opuku


MyBinder.org Events Archive
Daily archive of analytics events emitted by MyBinder.org. Documentation
Machine readable index also available. Ask questions about this dataset or show off cool stuff built with it at the the Jupyter Discourse Forum.
Released under the CC0 license.
| Date | Filename | Number of Events | {% for archive in archives %}
|---|---|---|
| {{ archive.date }} | {{ archive.name }} | {{ archive.count }} |


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©Lindsey Pagel
last updated
October 11, 2017


-
PHP application in SAP Cloud Platform. With PostgreSQL, Redis and Cloud Foundry
Keeping on with my study of SAP’s cloud platform (SCP) and Cloud Foundry today I’m going to build a simple PHP application. This application serves a simple Bootstrap landing page. The application uses a HTTP basic authentication. The credentials are validated against a PostgreSQL database. It also has a API to retrieve the localtimestamp from database server (just for play with a database server). I also want to play with Redis in the cloud too, so the API request will have a Time To Live (ttl) of 5 seconds. I will use a Redis service to do it. …
-
Real Time IoT in the cloud with SAP's SCP, Cloud Foundry and WebSockets
Nowadays I’m involved with a cloud project based on SAP Cloud Platform (SCP). Side projects are the best way to mastering new technologies (at least for me) so I want to build something with SCP and my Arduino stuff. SCP comes whit one IoT module. In fact every cloud platforms have, in one way or another, one IoT module (Amazon, Azure, …). With SCP the IoT module it’s just a Hana Database where we can push our IoT values and we’re able to retrieve information via oData (the common way in SAP world). …
-
NFC tag reader with Raspberry Pi
In another post we spoke about NFC tag readers and Arduino. Today I’ll do the same but with a Raspberry Pi. Why? More or less everything we can do with an Arduino board we can do it also with a Raspberry Pi (and viceversa). Sometimes Arduino is to much low level for me. For example if we want to connect an Arduino to the LAN we need to set up mac address by hand. We can do it but this operation is trivial with Raspberry Pi and Python. We can connect our Arduino to a PostgreSQL Database, but it’s not pretty straightforward. Mi background is also better with Python than C++, so I feel more confortable working with Raspberry Pi. I’m not saying that RPi is better than Arduino. With Arduino for example we don’t need to worry about start proceses, reboots and those kind of thing stuff that we need to worry about with computers. Arduino a Raspberry Pi are different tools. Sometimes it will be better one and sometimes the other. …
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Taking photos with an ionic2 application and upload them to S3 Bucket with SAP's Cloud Foundry using Silex and Lumen
Today I want to play with an experiment. When I work with mobile applications, I normally use ionic and on-premise backends. Today I want play with cloud based backends. In this small experiment I want to use an ionic2 application to take pictures and upload them to an S3 bucket. Let’s start. …
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Controlling bedside lamp with the TV's remote using Arduino and IR receiver.
I’ve got a new Arduino board (Arduino nano) and I want to hack a little bit. Today I want to play with IR receiver. My idea is to use my TV’s remote and switch on/off one bedside lamp, using one relay. It’s a simple Arduino program. First we need to include de IRremote library. …
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Silex is dead (... or not)
The last week was deSymfony conference in Castellón (Spain). IMHO deSymfony is the best conference I’ve ever attended. The talks are good but from time to now I appreciate this kind of events not because of them. I like to go to events because of people, the coffee breaks and the community (and in deSymfony is brilliant at this point). This year I cannot join to the conference. It was a pity. A lot of good friends there. So I only can follow the buzz in Twitter, read the published slides (thanks Raul) and wait for the talk videos in youtube. …
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Playing with Raspberry Pi, Arduino, NodeMcu and MQTT
These days I’m playing with IoT. Today I want to use MQTT protocol to comunicate between different devices. First I’ve start a mqtt broker in my Laptop. For testing I’ll use mosquitto server. In production we can use RabbitMQ or even a 3party server such as iot.eclipse.org or even Amazon’s IoT service. …
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NFC tag reader with Arduino
Today I want to use the NFC tag reader module with my Arduino. The idea is build a simple prototype to read NFC tags and validate them against a remote server (for example a node tcp server). Depending on the tag we’ll trigger one digital output or another. In the example we’ll connect leds to those outputs, but in the real life we can open door or something similar. …
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Arduino and Raspberry Pi working together. Part 2 (now with i2c)
The easiest way to connect our Arduino board to our Raspberry Py is using the USB cable, but sometimes this communication is a nightmare, especially because there isn’t any clock signal to synchronize our devices and we must rely on the bitrate. There’re different ways to connect our Arduino and our Raspberry Py such as I2C, SPI and serial over GPIO. Today we’re going to speak about I2C, especially because it’s pretty straightforward if we take care with a couple of things. Let’s start. …
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Arduino and Raspberry Pi working together
Basically everything we can do with Arduino it can be done also with a Raspberry Pi (an viceversa). There’re things that they’re easy to do with Arduino (connect sensors for example). But another things (such as work with REST servers, databases, …) are “complicated” with Arduino and C++ (they are possible but require a lot of low level operations) and pretty straightforward with Raspberry Pi and Python (at least for me and because of my background) …
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PHP Redis cache wrapper
Today I want to share a simple Redis Wrapper for PHP I’m using in one project. Nowadays I don’t like reinvent the wheel as years ago. I’m not going to create a new Redis Library for PHP there’re too many. I normally use Predis (it’s the “de facto” standard, indeed). …
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Control humidity with a Raspberry Pi and IoT devices
I’ve got a Wemo switch and a BeeWi temperature/humidity sensor. I’ve use them in previous projects. Today I want a control humidity level in a room. The idea is switch on/off a dehumidifier (plugged to Wemo switch) depending on the humidity (from BeeWi sensor). Let’s start. …
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Playing with RabbitMQ (part 2). Now with Python
Do you remember the las post about RabbitMQ? In that post we created a small wrapper library to use RabbitMQ with node and PHP. I also work with Python and I also want to use the same RabbitMQ wrapper here. With Python there’re several libraries to use Rabbit. I’ll use pika. …
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Playing with RabbitMQ, PHP and node
I need to use RabbitMQ in one project. I’m a big fan of Gearman, but I must admit Rabbit is much more powerful. In this project I need to handle with PHP code and node, so I want to build a wrapper for those two languages. I don’t want to re-invent the wheel so I will use existing libraries (php-amqplib and amqplib for node). …
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Playing with Docker, Silex, Python, Node and WebSockets
I’m learning Docker. In this post I want to share a little experiment that I have done. I know the code looks like over-engineering but it’s just an excuse to build something with docker and containers. Let me explain it a little bit. …
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Playing with arduino, IoT, crossbar and websockets
Yes. Finally I’ve got an arduino board. It’s time to hack a little bit. Today I want to try different things. I want to display in a webpage one value from my arduino board. For example one analog data using a potentiometer. Let’s start. …
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Smart bulb controlled from a Raspberry Pi with Python. My RGB alarm clock
I’ve got a BeeWi Smart LED Color Bulb. I must admit I cannot resist to buy those kind of devices :). …
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Silex service provider for a Gearman wrapper
I’ve written an small wrapper for the gearman api. Normally I use Silex in the frontend. Today we’re going to build a service provider to allow us to integrate the gearman wrapper easily within our Silex applications. …
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Performing UPSERT (Update or Insert) with PostgreSQL and PHP
That’s a typical situation. Imagine you’ve got one table …
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Encrypt Websocket (socket.io) communications
I’m a big fan of WebSockets and socket.io. I’ve written a lot of about it. In last posts I’ve written about socket.io and authentication. Today we’re going to speak about communications. …


--- layout: data_model title: ICMPv6ErrorMessageType this_version: 1.2 ---
ICMP v6 error messages include destination unreachable messages, packet too big messages, and time exceeded messages, and parameter problem messages, as defined in RFC 2463. Type values of ICMP v6 error messages range from 1 to 127.
| Field Name | Type | Description |
|---|---|---|
| Destination_Unreachable0..1 | ICMPv6DestinationUnreachableType |
A destination unreachable message should be generated by a router, or by the IPv6 later in the originating node, in response to a packet that cannot be delivered to its destination address for reasons other than congestion. (http://tools.ietf.org/html/rfc4443). |
| Packet_Too_Big0..1 | ICMPv6PacketTooBigType |
A packet too big message must be sent by a router in response to a packet that it cannot forward because the packet is larger than the MTU of the outgoing link. |
| Time_Exceeded0..1 | ICMPv6TimeExceededType |
A time exceeded message is send if either the hop limit is exceeded (hop limit = 0) or if fragment reassembly has timed out. |
| Parameter_Problem0..1 | ICMPv6ParameterProblemType |
If an IPv6 node processing a packet finds a problem with a field in the IPv6 header or extension headers and it cannot complete processing of the packet, it should send an ICMPv6 Parameter Problem message to the packet's source (http://tools.ietf.org/html/rfc4443). |
| Invoking_Packet0..1 | HexBinaryObjectPropertyType |
as much of invoking packet as possible without the ICMPv6 packet exceeding the minimum IPc6 MTU. |


This is an auto-generated email to inform you that the daily import of opportunities Succeeded with failed rows.
You'll find the log file in attachment.
Problem(s) for file: filename.csv
| row | exception |
|---|---|
| 1 | RequiredColumnException: column 'Title' must have a value |
| 5 | MySQLIntegrityConstraintViolationException: Column 'interest_id' cannot be null |


Sony's PlayStation Awards Show 2019 Will Be Broadcast Live Next Week, Seemingly in English
Congrats
by Robert RamseyThe PlayStation Awards 2019 will be livestreamed on PlayStation's official YouTube channel, it seems. We've had no word on this, by the way -- the scheduled stream has only just popped up on the website.
In years past, the PlayStation Awards have been Japanese events where developers and their games are celebrated. This year, however, it looks like Sony wants to make the ceremony a global event, which ties in with the company's recent focus on uniting PlayStation's three key fronts (Japan, North America, and Europe) under singular leadership.
There are whispers and rumours going around that the PlayStation Awards 2019 could host a number of game reveals and updates on titles that are currently in development -- but we wouldn't get your hopes up until Sony makes a statement.
The livestream is set for the 3rd December at 08:00am PST. We'll be sure to update this article as soon as we know more.


Warehouse Keeper Taurin:
Come to me, all you who are heavy-laden and I will give you rest. Ha ha! Want to deposit an item?
Private Warehouse
Clan Warehouse
Quest


Go to the client folder and call npm install bower install
to fetch and install the local package dependencies.
Test the client: run gulp -> Does the start page show up in the browser?
Startup task - Set up Angular (Tag: start)
Install AngularJS bower install angularjs
Add the dependency in index.html
Add ng-app directive to the body
Add a new file app.js
Create the basic angular application module:
var carSpa = angular.module('carSpa', []);
Now create a controller CarListController that is attached to the div tag wih the id
viewContainer.
Implement a functionality, that shows a text directly after startup but changes it 2 seconds later.
Use databinding and implement the logic inside the controller. Use the controller as syntax.
Task 1 - Show a list of cars (Tag: task-01)
Based on startup task
After clicking the button 'OK, let's start' an empty view is shonw. Fill this view with a table, like in the following screenshot:
The data should be filled in an array, that is exposed to the view.
Task 2 - Bind the car list to an REST endpoint (Tag: task-02)
Install npm install -g json-server. This will be our REST backend.
Open another terminal window and navigate into the db directory. Start the backend with json-server db.json
and verfiy ist running by navigating to http://localhost:8081/ in a browser.
Add a dependecy to the $http service to the controller.
Inside the controller (function showCars), load the data from the REST endpoint instead of the local array.
Task 3 - Move backend access into service (Tag: task-03
Create a new service CarListService
Move the logic to get the data from the backend from the controller into the service
Use the new service inside the controller instead of accessing $http directly.
"Promisify" the function: The function in the service should return a promise instead of an arry.
Modularize: Create a new module for services and put the service into that module.
Task 4 - Routing with UI Router (Tag: task-04)
Install the dependency to UI Router bower install angular-ui-router --save
Add the reference to the dependency in index.html file
Add the ui-view directive to the div tag wih the id
viewContainer
The content of this tag will be moved to a new view (own state of the router).
Move the complete HTML into a new template file (carList.html) and put this file in a new folder named 'templates'.
Create the basic UI router configuration inside the app.js file.
Create a new state 'carList' and register it in the UI Router config.
Additional task: move the 'welcome' part also in it's own state/view.
Task 5 - Implementing the Filter widget (basic) (Tag: task-05)
Add a filter selection to the car list, like shown in the screenshot:
Add a ReferenceDataService to the app.js file and regster it.
Add methods for retrieving the reference data from the REST API. Use the endpoints api/brands and api/colours for that.
Add an additional value "All" for every filter criterion
Connect the dropdowns in the view with the data via the controller
Pass the selected values to the REST queries
Task 6 - Refactoring layout to utilize directives
Create a new directive named csFilterWidget and register it.
Move the complete HTML code into a template, which the directive references to.
Pass the data, needed for displaying the filters, into the directive. Create a new scope for that.
Create a directive for dropdowns, so that the filter widget directive contains of 3 "sub-directives".
Task 7 - Cleanup
Move all controllers/directives/templates to files and folders that seems beneficial for you.


Based on the RaiWebWallet source code. This code is licensed GPL v3.
This page may be used offline, download the source code zip and open index.html in your web browser.
The wallet accounts are generated from a 32 byte seed input as a 64 character long hexadecimal string.
Click "Use Random" to select a random value using nacl.js.
Back up the wallet seed somewhere safe. You may also print this page after generation.
Anyone who knows it is able to generate your private keys, thus having access to your funds.
Up to 232 accounts may be addressed from a single seed. Please select which account to generate a private key/address pair.
By default, RaiWallet uses the 0th account. The desktop wallet seems to start with 0-2.
Click the button to generate a account key/address pair that you may import into other wallet applications.