Test-driven Development
[caption id=”attachment_426” align=”alignright” width=”300”] A as you raise spoon of soup to your mouth B it pulls the string C thereby jerking the ladle D which throws the cracker E past the parrot which jumps F causing the perch to tilt G upsetting seeds H into the pail I adding the extra weight to pull the cord J which opens and lights the automatic cigar lighter K setting off the rocket L which causes the sickle M to cut the string allowing the napkin to swing wiping off your chin[/caption]
TDD is an excellent safeguard against bugs. Why is test-driven development specifically vital in Agile development?
The hardest part of implementing a new feature is keeping all of the existing features working.
Software can be very complicated, and if you were trying to visualize it, although I don’t like to compare the software we build to a Rube Goldberg machine, you might be able to think of it in those terms, in that if you have a device which works in just such a way and then you add to it there is a good chance that it will no longer continue to work like it did.
What test-driven development allows you to do is to essentially lock into place the features that you’ve built that you know were working, so that in the future if anything you change would affect the functionality of those features you’ll get a report on that within an hour or two at the most. Then you can take corrective action without having to do exhaustive testing on the system, which, when a system becomes significant, can actually become almost impossible to do by humans.
I think anyone that’s been in software development, who has done a software project, either internally or with a partner, has probably experienced bugs and defects. Typically you’ll see those when you add a feature and a couple of things break that used to work. That happens a lot. It is a trapping of development.
Whether it is in Agile development methodology or whether it’s in something else it is critical to make sure the software quality is present as one works into the future in enhancing or adding to the system.
Typically, a lot of the systems that we see are pretty critical to running a client’s business or to executing projects. They are something that helps businesses, from a technology side, have an advantage over their competition or deliver their services faster or better or in a more streamlined manner. When you have a system like that, that is that critical, you can’t afford to have downtime. You can’t afford to add a feature and then have ten things that used to work break, and so test-driven development is important because it helps mitigate the risk and helps issues come to the surface much more quickly before they’ve reached production or affected customer service negatively.
Specifically with regards to Agile, test-driven development allows you to change the system which is the whole basis for Agile development in the first place. (Without going into the long explanation of Agile essentially it means that instead of waiting for a year to release the software you’ll wait a month with the expectation that you’ll change it again each month and release it again. Because you’re iterating on functionality development, you’re going to be changing existing functionality over and over again until you get to your ultimate goals.) Having a system that you can change quickly is critical to Agile development.
The Gotcha Question (and its answer)
Given the protections of TDD, why should stakeholders feel the need to manually test or demo code or to kick the tires at any level whatsoever?
One of the misperceptions about test-driven development is that it results in 100% defect-free software, and that’s actually not the case, because the software you write is only as good as the ways you think to test it. You might think of the same thing for perhaps a building in that a building’s strength is only as good as the weight against it, testing it, and if you don’t plan for a certain type of event, like an earthquake or a strong wind from a certain angle, then the building could potentially fail because the tests the building was put through did not account for the scenario. It is the same with software.
- The advantage of TDD is that when you do discover that defect, you can write a test to expose the defect, correct the defect, and never see it again.
- The introduction of defects is actually not the biggest problem. The biggest problem is the introduction of defects over and over again as you maintain the software that can really kill the software’s budget and thus the effectiveness of an organization’s operations.
I think there are certain things that tests can’t account for and it deals with the user interaction side of applications. It’s important for clients to test the system or use it just to make sure that it functions how they thought it would. Chances are really good that when a client conceives of a new piece of functionality, or a new idea, that they see it working in their head one way, but once they actually use it they realize they’ve learned new things that they didn’t know before and that they’ll want to implement some changes to that end. So, while the software can work exactly as it was designed to work, it might not be quite right for the business goals or the goals of the client, and so, just from that standpoint alone, making sure that the software is aligned with business goals and not with mean functional specifications is really important.
A test does not guarantee that there are zero defects. It just guarantees that there are no defects in the, in the ways the system is being tested. But, as the system matures and is tested and put through more and more rigorous paces, TDD essentially just cuts out a lot of wasted time that you might have otherwise accrued. Without getting too philosophical, because humans create software and humans are flawed, software, in a sense, will always be somewhat flawed, but that doesn’t mean you shouldn’t enforce strict engineering principles to try to improve the quality of what you create.


This howto will add sound to the 4th scene and play each time the left mouse button is pressed.
You will need to compile wavToC from the "Tools" folder and place it in the "sounds" folder.
Go into the "sounds" folder open a terminal and type:
wavToC shoot.wav
This should convert the .wav file into source code.
In main.c
Add under the includes:
#include "sounds/shootSndData.h"
In scene4.c
Find:
if (leftMouseDown)
{
And replace with:
if (leftMouseDown)
{
mixPlaySound(shootSndData, sizeof(shootSndData), FALSE, TRUE);// you can play with the TRUE, FALSE values
Find:
if (rightMouseClick)
{
And replace with:
if (rightMouseClick)
{
endSound(shootSndData);
The compiler needs to be told to compile the sound data.
To compile with gcc:
In Makefile.win
Find:
sounds\boomSndData.o
And replace with:
sounds\boomSndData.o sounds\shootSndData.o
To compile with tcc:
In tmake.bat
Find:
sounds\boomSndData.o
And replace with:
sounds\boomSndData.o sounds\shootSndData.o
Find:
if NOT exist rsrc.res ..\..\tccAndTools\Gorc\Gorc.exe /r rsrc.rc
And replace with:
if NOT exist sounds\shootSndData.o ..\..\tccAndTools\tcc\tcc.exe -c sounds\shootSndData.c -o sounds\shootSndData.o
if NOT exist rsrc.res ..\..\tccAndTools\Gorc\Gorc.exe /r rsrc.rc
Compile and run.
Press enter 4 times to see the results in the 4th scene.


Meta Thinkin'
Thought about Thoughts
My Gregorc Thinking style is Abstract Sequential.The "abstract" aspect of this assessment rings true. In order to understand, I need to sit in the ideas, look at them closely, and experience them. That means writing out all the code presented as examples in the textbooks, and looking at them step-by-step, and playing with them to try to find or create errors. I like to learn what is right, but also what to know what is wrong, and why.
It's true that I like a linear progression through the work. I print out the assignment page every week to stay on track, and work through it methodically. And it's also true that my biggest fear is not having time to go through the material. I don't like skimming, I don't glean a lot from it. I want to go deep into the details of the material.
Through this process I am developing my learning style. I am implementing certain practices that keep me working and on track. The "Pomodoro Method" works me for in chucking my studies in 25 minute increments so that I don't burn out. But I am finding that I can do five Pomodoros before I need a bigger break. I track this on my white board at home, and try to do at least three chucks of five pomodoros each day. What satisfaction to see 15 boxes crossed off at the end of the day!
On the subject of the "Growth vs. Fixed Mindset", a fixed mindset holds the belief that the mind has one way of being, and isn't flexible in it's capabilities. The growth mindset believes that capabilities are flexible and able to development. To this effect, I choose to believe that I can develop study habits and capabilities that may not be natural or practiced. For instance, Dev Bootcamp will often recommend I skim an article or textbook chapter. I can follow the instructions, and by doing o, I will get better at skimming and gain value from it.


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Display main actions within the Action bar. This allows for users to find important page actions in a consistent area no matter what page they are on within the application.
When there are several main actions for a page, consider displaying them under a contextual menu. This allows the user to look in the same position they are used to but avoids cluttering the action bar with more than 3-4 actions. This also works well for a responsive/adaptive application.


Google Chrome
Google Chrome is a web browser developed by Google, released in 2008. Chrome is the world's most popular web browser today!
Google ChromeGoogle Chrome is a web browser developed by Google, released in 2008. Chrome is the world's most popular web browser today! Internet ExplorerInternet Explorer is a web browser developed by Microsoft |


--- title: relational keywords: fastai sidebar: home_sidebar summary: "This module implements a single function containing the relational block from [A simple neural network module for relational reasoning][relational]." description: "This module implements a single function containing the relational block from [A simple neural network module for relational reasoning][relational]." nb_path: "00_core.ipynb" ---
I'm going to show that this works with Numpy and PyTorch without doing anything else:
import torch
import numpy as np
cat
I need an agnostic cat function that's going to produce concatenated arrays or tensors regardless of what's passed. Also, using this hack so it doesn't care if Numpy or PyTorch aren't installed.
Showing that this works with either arrays or tensors:
np.random.seed(0)
xs = [np.random.randn(2,2) for _ in range(4)]
c = cat(xs, 1)
c
xs = [torch.tensor(x) for x in xs]
_c = cat(xs, 1)
assert np.abs(c - _c.numpy()).max() < 1e-3
_c
This is closely based on Kai Arulkumaran's relation function so I'm going to test the results of einops operations against that code. The first function I need concatenates the cartesian product of pairs on the trailing dimension. Example of what a cartesian product is:
import urllib
from IPython.display import display,SVG
u = "https://upload.wikimedia.org/wikipedia/commons/4/4e/Cartesian_Product_qtl1.svg"
with urllib.request.urlopen(u) as f:
svg_string = f.read()
display(SVG(svg_string))
It might be possible to do this with torch.cartesian_prod and gather but it also needs to be batched. Instead, I do it here using repeat.
torch.manual_seed(0)
x = torch.randn(4,8,16)
Copying Kai's code and using einops:
def kai_prodpair(x):
b, o, c = x.shape
return torch.cat((x.unsqueeze(1).expand(b, o, o, c).contiguous().view(b, o * o, c),
x.unsqueeze(2).expand(b, o, o, c).contiguous().view(b, o * o, c)), 2)
def prodpair(x):
b, o, c = x.shape
return cat([repeat(x, 'b o c -> b (m o) c', m=o),
repeat(x, 'b o c -> b (o m) c', m=o)], 2)
I'm going to need to check if a lot of tensors are equal so we'll need this utility function:
def allclose(a, b, epsilon=1e-3):
return torch.abs(a - b).max() < epsilon
assert allclose(kai_prodpair(x), prodpair(x))
I wanted to check if this was precisely a cartesian product, but it's not because of the order of the arguments into cat
.
def cartesian_trailing(x):
out = []
b, o, c = x.shape
for i in range(b):
for j in range(o):
for k in range(o):
a, b = x[i, j], x[i, k]
out.append(rearrange(cat([a,b], 0), 'c2 -> () c2'))
return rearrange(cat(out, 0), '(b osq) c2 -> b osq c2', osq=o**2, c2=2*c)
eq = allclose(prodpair(x), cartesian_trailing(x))
print(f"Is prodpair a cartesian product? {'yes' if eq.item() else 'no'}")
So, I'll reverse that for the implementation, just so I can say it's really a cartesian product.
err = allclose(prodpair(x), cartesian_trailing(x))
assert err
print(f"Is prodpair a cartesian product now? {'yes' if err.item() else 'no'}")
def kai_append_embedding(pairs, embedding):
b, osq, c2 = pairs.shape
return torch.cat((pairs, embedding.unsqueeze(1).expand(b, osq, embedding.size(1))), 2)
Checking the einops version is correct:
b, o, c = x.shape
pairs = prodpair(x)
embedding = torch.randn(b, c)
assert allclose(append_embedding(pairs, embedding), kai_append_embedding(pairs, embedding))
g
g
is a function applied to all pairs and their embeddings. It's assumed to take a two dimensional tensor as input so the tensor is rearranged before and after applying it. All that's left to compute the relational function is to take the sum of the resulting representations over all pairs. I've added the option to reduce using mean
instead if required using the kwarg reduction
.
def kai_relation(input, g, embedding=None, max_pairwise=None):
r"""Applies an all-to-all pairwise relation function to a set of objects.
See :class:`~torch.nn.Relation` for details.
"""
# Batch size, number of objects, feature size
b, o, c = input.size()
# Create pairwise matrix
pairs = torch.cat((input.unsqueeze(1).expand(b, o, o, c).contiguous().view(b, o * o, c),
input.unsqueeze(2).expand(b, o, o, c).contiguous().view(b, o * o, c)), 2)
# Append embedding if provided
if embedding is not None:
pairs = torch.cat((pairs, embedding.unsqueeze(1).expand(b, o ** 2, embedding.size(1))), 2)
# Calculate new feature size
c = pairs.size(2)
# Pack into batches
pairs = pairs.view(b * o ** 2, c)
# Pass through g
if max_pairwise is None:
output = g(pairs)
else:
outputs = []
for batch in range(0, b * o ** 2, max_pairwise):
outputs.append(g(pairs[batch:batch + max_pairwise]))
output = torch.cat(outputs, 0)
# Unpack
output = output.view(b, o ** 2, output.size(1)).sum(1).squeeze(1)
return output
def dummy_g(x):
assert x.ndim == 2
return x
assert allclose(kai_relation(x, dummy_g), relation(x, dummy_g))
assert allclose(torch.tensor(relation(x.numpy(), dummy_g)), relation(x, dummy_g))


Before reviewing all strategies, a note about the change detector. Each component on the tree has its own change detector


sprint four - technical: problem solving
08 May 2020
getting blocked on a simple problem
- What was the problem?
I was over thinking the problem, thinking the solution was more
complicated that was required.
- What problem solving techniques did you use?
I think I'm getting a lot better with utilizing reading error
messages, console.logging, and Googling. This with just going one
step at a time and going back to the instructions.
- How did I feel throughout the process?
Really frustrated. But then through regular breaks, some
procrastinating, and ten some problem solving techniques I was
able to solve the problem. Sometimes when you get a spark of
inspiration you run with it and sometimes as you see everything
unfold towards you resolving the problem you get more excited and
focused on the challenge at hand.
- What did I learn?
I've learned that a lot of the times where I am stuck, it is
usually some random minuscule error or miss understanding with
regards to what I'm actually trying to accomplish.
solving a problem in an elegant way
- What was the problem?
There were some challenge's in the Kata section where it just came
intuitively to me, and it was like the code just rolled off of my
fingers.
- What problem solving techniques did you use?
I used the Mozilla Documentation, and Stackoverflow and with some
poking around I was very quickly able to work out the solution to
the challenge.
- How did you feel throughout the process?
It felt quite fluid.. in terms of being agile and being able to
quickly and easily overcome little hurdles. I felt a sense of
understanding about what was needed, and where I'd find the
information required for it.
- What did you learn?
I learnt how amazing it feels when it just works and you
understand what you're doing and how it all clicks together. This
feeling is the chase.. the ecstasy of success in writing readable,
and working code.
problem solving techniques
2/5 Pseudocode
This is definitely something that I need to get
better at doing. I guess daily practice will help to improve this.
3/5 Trying something
I think coming up with a plan, and then just
going for it, and really just trying to make it work helps. Some
times you'll refactor what you've written, or just go and try it
from a different angle.
1/5 Rubber ducky method
In all honestly.. I haven't even tried
this one.
4/5 Reading error messages
I think I have a pretty good
understanding of utilising this. The majorit of the Kata's I was
able to work off of the error messages that were provided.
5/5 Console.logging
From my experience with working through
freecodecamp.org I had already established a process of utilising
`console.log` to test my code as I progressed with my code.
4/5 Googling
This is something that came quite naturally to me.
1/5 Asking your peers for help
0/5 Asking coaches for help
I have
been terrible with these.. defineitely something to work on.
3.5/5 Improving your process with reflection
A lot of my coding
progress through the Katas have come from reflecting over my
workable code, and then comparing it to the supplied solution, and
then against alternatives that I could find through Google.
This blog is to showcase the various projects and tasks that I will be completing throughout my time with Enspiral Dev Academy.
- sprint one - technical: The Story of Te Houtaewa
- sprint one - core: identity, values and strengths
- sprint two - technical: classes vs. ids
- sprint two - core: learning reflections
- sprint three - core: emotional intelligence
- sprint three - technical: JavaScript, the DOM, and DevTools
- sprint four - core: neuroplasticity and growth mindset
- sprint four - technical: problem solving


Weekly Platform News: Web Apps in Galaxy Store, Tappable Stories, CSS Subgrid
Easily manage projects with monday.com
In this week's roundup: Firefox gains locksmith-like powers, Samsung's Galaxy Store starts supporting Progressive Web Apps, CSS Subgrid is shipping in Firefox 70, and a new study confirms that users prefer to tap into content rather than scroll through it.
Let's get into the news.
Securely generated passwords in Firefox
Firefox now suggests a securely generated password when the user focuses an <input>
element that has the autocomplete="new-password"
attribute value. This option is also available via the context menu on any password field.
(via The Firefox Frontier)
Web apps in Samsung’s app store
Samsung has started adding Progressive Web Apps (PWA) to its app store, Samsung Galaxy Store, which is available on Samsung devices. The new “Web apps” category is visible initially only in the United States. If you own a PWA, you can send its URL to<EMAIL_ADDRESS>and Samsung will help you get onboarded into Galaxy Store.
(via Ada Rose Cannon)
Tappable stories on the mobile web
According to a study commissioned by Google, the majority of people prefer tappable stories over scrolling articles when consuming content on the mobile web. Google is using this study to promote AMP Stories, which is a format for tappable stories on the mobile web.
Both studies had participants interact with real-world examples of tappable stories on the mobile web as well as scrolling article equivalents. Forrester found that 64% of respondents preferred the tappable mobile web story format over its scrolling article equivalent.
(via Alex Durán)
The grid form use-case for CSS Subgrid
CSS Subgrid is shipping in Firefox next month. This new feature enables grid items of nested grids to be put onto the outer grid, which is useful in situations where the wanted grid items are not direct children of the grid container.
(via Šime Vidas)


Welcome to the MTV Gecko Cribs!
Who are these cool reptiles?
The crested gecko is a species of gecko from New Caledonia (east of Australia) that was thought to be extinct until recently. Crested geckos do not have eyelids and use their tongues to keep each eye moist.They appear in a bunch of different shades of yellow and orange. They eat fruits, veggies and some insects and can lose their tail if frightened.
Click here to find out more about geckos!
What are its favorite toys and furniture?
The crested gecko prefers a moderately furnished living space including some of the following accomodations:
- Small plants
- Tiny clay domes
- Vines to climb
- Water bowl
- Small and medium sized rocks
- Art deco matching duvet (inside its small clay dome)
Conclusion
Thanks for coming by to check out the Gecko Pad!


This provides an example of the border radius css property.
From this MDN
page
.
The following is a simple 10px border-radius.


The plspm is dead. Long live the plspm!
14 Nov 2012After one month and a half or so of intense work, due diligence, and heavy duty
maintenance, I finally completed the first phase of my PLStroika project.
As some of you may know, I decided to do a major restructure of my package "plspm"
.
As a result, there are now two more tools related to my Partial Least Squares
R packages: "plsdepot"
and "pathdiagram"
.
What this means is that:
"plspm"
is now exclusively dedicated to PLS Path Modeling"plsdepot"
shelters the PLS methods for analyzing one or two data tables: NIPALS, PLS Regression, SIMPLS, SIMPLS-CA, PLS-CA, and Tucker's Inter-Battery factor analysis method.- there's also
"pathdiagram"
which is an experimental package to draw path diagrams in R
Fiat plspm
I launched "plspm"
in April 2009 when I was about to finish my PhD. Early that
Spring I had already completed the final draft of my dissertation and I was getting
closer to the "final laps" of my doctoral race. Everything was going smoothly and
according to my scheduled plans, but I felt that something crucial was missing. If I
wanted to get inner peace I knew that I needed to put all my R scripts for PLS in a
package format. As a matter of fact, that was one of the goals when I started my
research project. The only problem was that all my previous attempts to create an R
package had ended up in the trash can of my computer. But then, following a hunch
during the spring break of 2009, I sat down and I decided to give it one last try...
finally I made it.
Fast forward to 2012
Over the last three years since I launched "plspm"
, I've gained a broader
perspective about R, PLS, and many other stuff. One lesson is that creating an R package
is just half of the way. And in some sense it may not even be the half, it's just the
beginning.
Once you launched a library, there's an implicit —I would say latent— contract in which you commit to maintain it and keep it alive.  You can be working in other projects, change careers, become a husband, become a parent, be travelling, etc. You are not dedicating all your time to take care of your packages, kill the bugs, implement new functions or add more cool features. And in top of all of that, you are basically doing it for the sake of it; you are doing it for free, you are doing it for no material reward... Particularly in my case, I do it because I like it, because I want to add my two cents to the PLS community, and to share my work with the rest of the world.
Also in these years, I realized that every updated version of "plspm"
required me
to do a lot of painstaking, time consuming, boring work with its corresponding stress
toll. This of course was not fun whatsoever, and to some extent it even discouraged me
to do further changes. But then again I had a revelation and I noticed that one of the
causes for the maintenance burden was to have oranges and apples in the same container.
After some thought, I chose an unorthodox but practical remedy: put each type of fruit
in its own container. In other words, having PLS path modeling methods in one package,
while having PLS methods for one or two blocks of variables in another package
("plsdepot"
).
R package "pathdiagram"
Along my PLStroika endeavor, a third package was developed: "pathdiagram"
.
This is more of a side effect rather than a conscious and predetermined development.
As I was writing the documentation for "plspm"
, I realized that I badly needed
a way to plot path diagrams in R. I used Yihui's "knitr"
package for generating
the accompanying pdf's with the documentation. It's a great option and makes it easy
to generate the reports. Of course, I had to struggle a lot with it in the beginning
trying to figure out how to get the job done. But once I got the basics, the rest was
a joyride. Now the documentation is entirely reproducible and I don't need to do
error-prone copy-pastyings anymore.
I spent some time looking for options to plot path diagrams with the "grid"
package.
I managed to plot some decent diagrams but the problem was that I didn't have a complete
control over the formatting of text, and the format of the rectangles and ellipses. So
I went to experiment with my own functions. At the end I came up with "pathdiagram"
.
Its only purpose is to help me plot diagrams in R for my reports and docs. But who knows,
maybe there might be more people interested in doing the same.
You can perfectly argue that I lost my time reinventing the wheel. Anyone can draw a
diagram using some software for presentations, save the image, and then import it into
the latex document. But that's my point: I didn't want to rely on external software
rather than R. Since I was using "knitr"
, my only option was to generate my
diagrams in R and put them in my docs.
PLS Modeling
As a collateral damage, my web site dedicated to PLS (plsmodeling.com) also suffered from the PLStroika. Following a minimalist keep-it-simple approach, I got rid of non essential things, and I tried to leave it with just the useful content. I'm still working on it but I hope to finish it in the next weeks.
I know that all these changes may potentially affect the work of some colleagues, analysts and students (hopefully not that many). I don't have any intentions to cause harm. On the contrary, if I revamped my pls packages is to keep them alive, in good shape, in good care, so we all enjoy them for many more years.


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Freepik
People vector created by freepik - www.freepik.com
Background vector created by macrovector - www.freepik.com
Music
Track: Cartoon - Howling (Ft. Asena) [NCS Release]
Music provided by NoCopyrightSounds.
Watch:
https://youtu.be/JiF3pbvR5G0
Free Download / Stream:
http://ncs.io/Howling


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Selling nothing but robots and robot accessories.
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The true story of an outlaw childhood where rules were unheard of, the Christmas tree stayed up all year round, Valium was consumed like candy, and if things got dull an electroshock-therapy machine could provide entertainment.
 Her white, handgun-shaped blow-dryer is lying on top of the wicker clothes hamper, ticking as it cools.


Amy Jackson shares an adorable picture with her son Andreas; captions, 'Fall’en for you'
by TIMESOFINDIA.COMAmy Jackson gave birth to baby boy Andreas on September 23 and since then the actress has been sharing beautiful pictures with her baby on her Instagram.
And now, she took to the photo-sharing to post another such pic with her son. In the photo, her son can be seen laying on her belly while she is sitting on a couch. Amy and Andreas are twinning brown sweaters as they posed for the camera. The caption of her post read, "Fall'en for you." The actress looked stunning a brown turtle-neck sweater-tee paired with black leather shorts and stockings with boots.
Check out the post here:
Meanwhile, her son will be two months old on November 17. Last month, she celebrated him completing one month with a sweet post.
Currently living in London with her family, Amy was last seen on the big screen in the film 2.0, which starred Rajinikanth and Akshay Kumar.


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7 references to Disposed
Microsoft.Management.Infrastructure.CimCmdlets (7)
CimAsyncOperation.cs (5)
55
DebugHelper.WriteLogEx("Disposed {0}, action type = {1}", 0, this.
Disposed
, actionArgs.Action);
57
if (this.
Disposed
)
138
if (this.
Disposed
)
229
DebugHelper.WriteLogEx("Disposed {0}, Operation Count {1}", 2, this.
Disposed
, this.operationCount);
230
bool isActive = (!this.
Disposed
) && (this.operationCount > 0);
CimRegisterCimIndication.cs (2)
193
DebugHelper.WriteLogEx("action is {0}. Disposed {1}", 0, actionArgs.Action, this.
Disposed
);
195
if (this.
Disposed
)


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We will split the tutorial into two different sections, Inside the interface, in which we will describe the usage of our application, and Outside the interface, in which we will talk about the independent scripts.
2.1. Inside the interface¶
We will describe the main application in the first place. It is a standalone widget that can be run either from Linux and Windows. Note that being a standalone file means that it can be used without any additional program installed. Although it has been built using python, neither python or any other external software is necessary for running this widget.
The two first tools included in the widget are precisely a calculator to compute both any Christoffel symbol and any component of the Riemann tensor. The ingredients that we need in order to make those dishes are the matrix form of the metric and the order of the differentials when we write the interval.
Note that this last consideration is necessary, since we will use the variables both as variables (we will eventually derive with respect to them) and as indexes, both in Christoffel’s and Riemman’s case.
2.1.1. The Inputs tab¶
Let’s consider, for example, the Schwarzschild metric,
the order of the variables in this expression will be t, r, th and fi (note that we can not write math symbols in the application). then, we write each element in \(g_{\mu\nu}\). In this case, only the blanks in the diagonal are filled. the empty blanks are treated as zeros. If we want to work with a (let’s say) a 3D matrix, we should left empty the last row and column, and the code will treat the case as a 3D metric, instead of a 4D one with a row and a column of zeros.
Note also that some common symbolic constants, like G, M and R are pre-implemented in the code, so one can use them without any problem.
If you need to use more constants, you can also type C1, C2 and C3.
The following image illustrates how we should fill the Inputs section in the Schwarzschild scenario.
Note
If your metric is so complex that you need even more symbolic
constants than the ones provided, you can add them manually to the
header of christ.py
.
Warning
Make sure that you are not introducing wrong expressions or undefined variables in the metric. The program may crash if you do so.
Let’s move now to the Christoffel symbols tab, and let’s compute some of them.
2.1.2. The Christoffel symbols tab¶
we can calculate here any Christoffel symbol based on the data we have already introduced.
The interface is quite intuitive, so there is no need for further explanation. Just enter the variables in the appropriate blanks and press calculate. The result will show under the button.
Warning
Make sure that you are being consistent with the variables you used to define the metric.
2.1.3. The Riemann tensor tab¶
It works in the same way as the previous one. Note that, in order to calculate any component of the Riemann tensor, one has to compute previously many Christoffel symbols, so this widget may be bit slower. Anyway, the code is optimized in the sense that it calculates every required symbol just in one call to the same function that computes Christoffel symbols in the previous tab.
2.1.4. TheUniverse tab¶
it simulates the evolution of many gravitational-attracted bodies computed with einsteinMulti.cpp. Just choose the text file produced by the script and press “Start!”. The simulation will be opened in an external window.
2.1.5. GW 1D tab¶
This tab will plot an animation of a one-dimensional gravitational pulse.
It uses the executable produced by the Fortran code, in order to calculate each timestep, and to create with all of them a datafile that will be eventually read and animated by Python’s module pyqtgraph.
When you press write changes, all the parameters will be written form the fields above to a txt file containing all the information.
sigma refers to the gaussian sigma and x0 is the point from where the pulse is emitted.
the default values for all the blanks are:
| blank | value |
|---|---|
| x min | 6.0 |
| x max | 25.0 |
| spatial resolution | 1000 |
| number of timesteps | 25000 |
| amplitude | 0.001 |
| sigma | 1 |
| x0 | 15.5 |
| boundaries | 0 |
| metric | 1 |
Once everything is written, pres run and the Fortran executable will do the rest. If you ran the widget from the terminal, you will see the progress on the terminal. If not, just be patient, it may not take more than 6 seconds with de default values.
2.2. Outside the interface¶
Everything that is done inside the interface can be also done outside, by using the following applications:
2.2.1. christ.py¶
It contains a function that can be called by looking at the commented example at the end of the script. Here you can also add more constants if needed, remember that this is also the function that is called from inside the widget. It returns \(\Gamma_{ab}^c\)
def christoffel(ds, g_mn, abc = [], ABC = []):
# computes \Gamma_{ab}^c.
# ABC contains multiple "abc" tuples. Use it if you want to compute
# multiple symbols at once
# abc = ['a', 'b', 'c'] is used if you only want to compute one symbol.
#Constants that may appear in the metric
G, M, R, C1, C2, C3 = sp.symbols('G M R C1 C2 C3')
2.2.2. riem.py¶
It contains a function that can be called by looking at the commented example at the end of the script. Here you can also add more constants if needed, remember that this is also the function that is called from inside the widget.
It will return the component \(R^a_{bcd}\) of the Riemann tensor.
def riemman(ds, g_mn, abcd):
# computes R^a_{bcd}
# ds is a list containing the variables in the interval, in the correct
# order
# g_mn is the metric
# abcd = the indexes referring to the component of R that we want to
# compute
2.2.3. newtonMulti.py¶
It does the same as newtonMulti.cpp. The code in python is more legible, but we recommend to use it only if you haven’t got any c++ compiler installed. Otherwise, einsteinMulti.cpp will be much faster.
2.2.4. einsteinMulti.cpp¶
- einsteinMulti.cpp: Does the same as newtonMulti, but an option is
- added to perform the calculations with Swartchild potential, instead of newton’s one. It is also much more optimized in terms of performance.
The basic options are:
tmax
: The simulation time. The code will finish either if there is only one particle left (no more collisions remaining) or the simulation time is over).
nObj
: The number of objects to simulate.
dt
: the timestep. This variable is quite important, and is directly related to the accuracy of the code.In some cases, especially when using the Schwarzschild potential, one has to take care of this variable, in order to prevent situations like the one in the following figure:
The result is shown in figure Fig. 2.5 example denotes wrong parameters in the code. At the beginning of the motion, the timestep is more than enough to describe the orbit precisely, but as the planet approaches the sun, the timestep becomes too big. In the closest point, the force is so strong that the planet gains so much velocity and appears too far away from the sun in the next iteration. Then, when the force is computed again, it is not strong enough to stop the planet scaping from the sun at high velocity (a situation that is not real).
Some suggestions to fix the code may be:
1. Reduce the timestep. The timestep may be reduced drastically (see the distance between the last and de penultimate positions). This will improve accuracy, but will increase considerably the execution time.
2. define a collision radius, and stop the simulation if the two objects collide.
Note
This problem is even bigger in the relativistic case. The corrections made on Newton’s potential decay as \(r^{-4}\), which is a minor correction at long distances, but bigger than Newton’s \(r^{-2}\) when \(r<1\).
2.2.5. mercury.py¶
It uses a simple correction to Newton’s potential in order to show the variation of Mercury’s perihelium. As we saw, the precession is visible on the plot (simulating the orbit only 2 periods) only when we the effect is amplified by a factor of \(10^6\). In fact, as Einstein predicted, the perihelium of Mercury rotates only 46’’ per turn, too small for being seen in our simulation.
2.2.6. simulFromData.py¶
It uses the data produced with einsteinMulti.cpp or newtonMulti.py to build and
show the animation. It is written in Python, but uses pyqtgraph
instead of
Matplotlib for showing the result. This choice was made for the sake of
performance. This file is also implemented in the widget.
2.3. A gravitational pulse in a 2-dimensional simplified space-time(t,x)¶
The program “gravitational-wave” aims to perform a numerical calculation of the intensity of the field induced by a 1-dimensional gravitational wave using the 3+1 formalism of the General Relativity.
The 3+1 formalism is based on the decomposition of space-time into 3-dimensional hyper-surfaces with t = constant. This can be seen as a foliation, we can superimpose infinite hyper-planes (3-dimensional) to generate a complete 4-dimensional space. It is only necessary that the leaves do not intersect each other. A space that meets this condition is said to be a globally hyperbolic space, and implies that there are no closed timelines (you cannot travel backwards in time).
The program solves the relativistic wave equation that in a general space takes the form
where
\(\Phi\) is the gravitational field. We are going to solve the relativistic wave equation in 1-spatial dimension, so \(\Phi = \Phi(t,x)\)
Let’s now take a look inside the program. It runs in FORTRAN90(.f90). It is structured in several nested routines using only 2 Fortran modules: “arrays.f90” and “global.f90”. It contains the following scripts:
2.3.1. Modules¶
arrays.f90: Defines some global variables and dimensional arrangements.
global.f90: declares scalar variables that are used in all program routines.
2.3.2. Subroutines¶
main.f90: it is the “traditional” first file. Starts the program and manages the parameters and variables. Use “global.f90” module.
principal.f90: the “core” of the program. Use “arrays.f90” and “global.f90”, call secundaries subroutines (like memory asignament), and checks and saves the progress.
memory.f90: memory assignment for numerical variables. It uses “arrays.f90” and “global.f90”. This subroutine is necessary for the compilation, but it is not important for the numerical calculation (it only assigns space of memory to the allocated variables)
mesh.f90: this subroutine generates the division of the space and the temporal coordinates, and defines the minimum units of separation to discretize space and time. Uses “arrays.f90” and “global.f90”
initial.f90: calculates the parameters of the adapted coordinates according to the defined metric in the spacetime we intended to simulate. In this case, only Minkowski and Schwarzschild metrics are implemented, so this subroutine needs only to know the parameters of the Schwarzschild metric. It defines the pulse of the wave (in this case, Gaussian pulse) and then calls “constriction_calc.f90” to solve the constriction equations (energy and momentum). Uses “arrays.f90” and “global.f90”.
constriction_calc.f90: solves the constriction equations for the initial parameters using the finite differences method, calculating the central difference and then the forward and backward differences. Uses “arrays.f90” and “global.f90”.
save_arrays.f90: this subroutine is not really important, it only saves the results in “.x” extesion files, using a couple of tuples \((x, \Phi(x))\) for each timestep (it doesn’t save all time iterations, only under several conditions). Uses “arrays.f90” and “global.f90”.
RangKut3.f90: This is the core of the numerical calculation. Previously, we need the values of \(\Phi(x)\) in each point, calling “numeric.f90”. It Solves the evolution equations using the Range-Kuta method. A third RK order is enough to guarantee the convergence of the method. We need to re-solve the constriction in each iteration. Also, this subroutine calls “boundaries_calc.f90”. Uses “arrays.f90” and “global.f90”.
numeric.f90: Calculates the evolution of the fields using second order finite differences method. Similar to “constriction_calc*. Uses “arrays.f90” and “global.f90”.
boundaries.f90: implemented the boundary conditions.  It is possible that we need to improve this subroutine.
2.3.3. Installation guide¶
For the moment, we will include just the instructions for based Linux SO.
Install the libraries of FORTRAN90:
Install a Fortran compiler:
Archlinux:
sudo pacman -S gfortran
Debian/Ubuntu:
sudo apt-get install gfortran
Fedora:
su -c dnf install fcc-gfortran
To compile the code, use the Makefile file. Once located at the directory where the Makefile is, type make on the terminal (maybe you have to install the make command first). To compile the code manually you need to introduce
gfortran -std=f95 file1.f90 file2.f90 (...) fileN.f90 -o executable_name.
- In order to visualize the graphics, you can use gnuplot ore similar.
We recommend using the app included in our repository to execute and visualize all the results.


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The purpose of this project is to understand the relationship between lung cancer deaths, health factors, and demographics.
The purpose of this project is to use Isarithmic Mapping techniques to explore patterns and relationships in Iowa temperature and precipitation from 2012-2015.
The purpose of this project is to explore how Leaflet mapping can be used to create a more interactive map for the user. Here Twitter data from the Antilles and the Caribbean are used to illustrate the simplicity of this process.
The purpose of this project is to show how D3 can be used to make a simple choropleth map. This is illustrated by showing census data from the French Overseas Department of Martinique, specifically looking at population growth on the island over the past half-century. The data was sourced from Insee, a leading statistical firm in France (http://www.insee.fr/)
This lab is an elaboration on the previous Lab 5. While a choropleth map of Martinique's change in population is still shown, this map is elaborated upon by adding a PCP element which allows the map to show all the data at once while making it dynamic and interactive. Thus the PCP element changes the previous choropleth map into a multivariate interactive experience which allows for an easier view of the aggregate data for the island all at once, which also in this case allows the user to see change over time.


|
C++ Actor Framework 0.18
|
Manages a single stream with any number of in- and outbound paths. More...
#include <stream_manager.hpp>
Public Types | |
| using | inbound_path_ptr = std::unique_ptr< inbound_path > |
| using | inbound_paths_list = std::vector< inbound_path * > |
| using | time_point = typename actor_clock::time_point |
| Discrete point in time. | |
Public Member Functions | |
| stream_manager (scheduled_actor *selfptr, stream_priority prio=stream_priority::normal) | |
| virtual void | handle (inbound_path *from, downstream_msg::batch &x) |
| virtual void | handle (inbound_path *from, downstream_msg::close &x) |
| virtual void | handle (inbound_path *from, downstream_msg::forced_close &x) |
| virtual bool | handle (stream_slots, upstream_msg::ack_open &x) |
| virtual void | handle (stream_slots slots, upstream_msg::ack_batch &x) |
| virtual void | handle (stream_slots slots, upstream_msg::drop &x) |
| virtual void | handle (stream_slots slots, upstream_msg::forced_drop &x) |
| virtual void | stop (error reason=none) |
| Closes all output and input paths and sends the final result to the client. | |
| virtual void | shutdown () |
| Mark this stream as shutting down, only allowing flushing all related buffers of in- and outbound paths. | |
| virtual void | push () |
| Pushes new data to downstream actors by sending batches. | |
| virtual bool | congested (const inbound_path &path) const noexcept |
| Returns true if the handler is not able to process any further batches since it is unable to make progress sending on its own. | |
| virtual void | deliver_handshake (response_promise &rp, stream_slot slot, message handshake) |
Sends a handshake to dest . | |
| virtual bool | generate_messages () |
| Tries to generate new messages for the stream. | |
| virtual downstream_manager & | out ()=0 |
| Returns the manager for downstream communication. | |
| const downstream_manager & | out () const |
| Returns the manager for downstream communication. | |
| virtual bool | done () const =0 |
| Returns whether the manager has reached the end and can be discarded safely. | |
| virtual bool | idle () const noexcept=0 |
| Returns whether the manager cannot make any progress on its own at the moment. | |
| virtual void | cycle_timeout (size_t cycle_nr) |
| Advances time. | |
| virtual int32_t | acquire_credit (inbound_path *path, int32_t desired) |
| Acquires credit on an inbound path. | |
| virtual void | register_input_path (inbound_path *x) |
| Informs the manager that a new input path opens. | |
| virtual void | deregister_input_path (inbound_path *x) noexcept |
| Informs the manager that an input path closes. | |
| virtual void | remove_input_path (stream_slot slot, error reason, bool silent) |
| Removes an input path. | |
| bool | running () const noexcept |
| Returns whether this stream is neither shutting down nor has stopped. | |
| bool | continuous () const noexcept |
| Returns whether this stream remains open even if no in- or outbound paths exist. | |
| void | continuous (bool x) noexcept |
| Sets whether this stream remains open even if no in- or outbound paths exist. | |
| const inbound_paths_list & | inbound_paths () const noexcept |
| Returns the list of inbound paths. | |
| inbound_path * | get_inbound_path (stream_slot x) const noexcept |
Returns the inbound paths at slot x . | |
| bool | inbound_paths_idle () const noexcept |
| Queries whether all inbound paths are up-to-date and have non-zero credit. | |
| scheduled_actor * | self () noexcept |
| Returns the parent actor. | |
| void | tick (time_point now) |
| Public Member Functions inherited from caf::ref_counted | |
| ref_counted (const ref_counted &) | |
| ref_counted & | operator= (const ref_counted &) |
| void | ref () const noexcept |
| Increases reference count by one. | |
| void | deref () const noexcept |
Decreases reference count by one and calls request_deletion when it drops to zero. | |
| bool | unique () const noexcept |
| Queries whether there is exactly one reference. | |
| size_t | get_reference_count () const noexcept |
Static Public Attributes | |
| static constexpr int | is_continuous_flag = 0x0001 |
| Configures whether this stream shall remain open even if no in- or outbound paths exist. | |
| static constexpr int | is_shutting_down_flag = 0x0002 |
| Denotes whether the stream is about to stop, only sending buffered elements. | |
| static constexpr int | is_stopped_flag = 0x0004 |
| Denotes whether the manager has stopped. | |
Protected Member Functions | |
| stream_slot | assign_next_slot () |
| stream_slot | assign_next_pending_slot () |
| virtual void | finalize (const error &reason) |
| virtual void | input_closed (error reason) |
Called when in().closed() changes to true . | |
| virtual void | downstream_demand (outbound_path *ptr, long demand) |
| Called whenever new credit becomes available. | |
| virtual void | output_closed (error reason) |
Called when out().closed() changes to true . | |
| stream_slot | add_unchecked_inbound_path_impl (type_id_t input_type, inbound_path_ptr path) |
| Adds the current sender as an inbound path. | |
Protected Attributes | |
| scheduled_actor * | self_ |
| Points to the parent actor. | |
| inbound_paths_list | inbound_paths_ |
| Stores non-owning pointers to all input paths. | |
| long | pending_handshakes_ |
| Keeps track of pending handshakes. | |
| stream_priority | priority_ |
| Configures the importance of outgoing traffic. | |
| int | flags_ |
| Stores individual flags, for continuous streaming or when shutting down. | |
| timespan | max_batch_delay_ |
| Stores the maximum amount of time outbound paths should buffer elements before sending underful batches. | |
| Protected Attributes inherited from caf::ref_counted | |
| std::atomic< size_t > | rc_ |
Related Functions | |
(Note that these are not member functions.) | |
| using | stream_manager_ptr = intrusive_ptr< stream_manager > |
A reference counting pointer to a stream_manager . | |
| Related Functions inherited from caf::ref_counted | |
| template<class T , class... Ts> | |
| intrusive_cow_ptr< T > | make_copy_on_write (Ts &&... xs) |
Constructs an object of type T in an intrusive_cow_ptr . | |
| template<class T , class... Ts> | |
| intrusive_ptr< T > | make_counted (Ts &&... xs) |
Constructs an object of type T in an intrusive_ptr . | |
| void | intrusive_ptr_add_ref (const ref_counted *p) |
| void | intrusive_ptr_release (const ref_counted *p) |
Manages a single stream with any number of in- and outbound paths.
|
virtual |
Acquires credit on an inbound path.
The calculated credit to fill our queue for two cycles is desired
, but the manager is allowed to return any non-negative value.
|
protected |
Adds the current sender as an inbound path.
open_stream_msg
.
|
noexcept |
Returns whether this stream remains open even if no in- or outbound paths exist.
The default is false
. Does not keep a source alive past the point where its driver returns done() == true
.
|
virtual |
Sends a handshake to dest
.
dest != nullptr
|
virtualnoexcept |
Informs the manager that an input path closes.
inbound_path
.
|
pure virtual |
Returns whether the manager has reached the end and can be discarded safely.
Implemented in caf::detail::stream_distribution_tree< Policy >.
|
protectedvirtual |
Called whenever new credit becomes available.
The default implementation logs an error (sources are expected to override this hook).
|
virtual |
Tries to generate new messages for the stream.
This member function does nothing on stages and sinks, but can trigger a source to produce more messages.
|
pure virtualnoexcept |
Returns whether the manager cannot make any progress on its own at the moment.
For example, a source is idle if it has filled its output buffer and there isn't any credit left.
Implemented in caf::detail::stream_distribution_tree< Policy >.
|
noexcept |
Queries whether all inbound paths are up-to-date and have non-zero credit.
A sink is idle if this function returns true
.
|
protectedvirtual |
Called when in().closed()
changes to true
.
The default implementation does nothing.
|
pure virtual |
Returns the manager for downstream communication.
Implemented in caf::detail::stream_distribution_tree< Policy >.
|
protectedvirtual |
Called when out().closed()
changes to true
.
The default implementation does nothing.
|
virtual |
Pushes new data to downstream actors by sending batches.
The amount of pushed data is limited by the available credit.
|
virtual |
Informs the manager that a new input path opens.
inbound_path
.
|
staticconstexpr |
Denotes whether the manager has stopped.
Calling member functions such as stop() or abort() on it no longer has any effect.


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| Packages that use com.njkremer.Sqlite | |
|---|---|
| com.njkremer.Sqlite | |
| com.njkremer.Sqlite.utils |
| Classes in com.njkremer.Sqlite used by com.njkremer.Sqlite | |
|---|---|
| ColumnExpression
A expression to allow for custom columns and functions to be called as part of a "select" portion of a sql statment. |
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| DataConnectionException
An exception that is thrown when something goes wrong with interaction with the database. |
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| JoinExecutor
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| JoinExecutor.JoinType
User to represent various join types for a database. |
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| Relationship
|
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| Relationship.RelationshipType
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| SqlExecutor
Used to continue a SqlStatement to interact with the database. |
|
| StatementParts
An enum of the different parts of a sql statement. |
|
| StatementType
An enum of the supported sql statement parts. |
|
| WhereExecutor
Used to specify an equality in a where statement. |
| Classes in com.njkremer.Sqlite used by com.njkremer.Sqlite.utils | |
|---|---|
| DataConnectionException
An exception that is thrown when something goes wrong with interaction with the database. |
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Dojo’s TimePicker
widget provides a form control that allows users to
manually enter a time or select a valid time from a dropdown of options.
TimePicker
uses the Menu
widget to display values. Any
keyboard navigation supported by Menu
will be supported by
TimePicker
. Pressing the down or enter keys will open the menu for keyboard
navigation.
By default, all options are formatted in 24-hour standard time (HHmmss
, or
HHmm
is the step
is greater than or equal to 60). The
format
option lets you specify if you want to display and input 12 hour
time.


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Tablet of Vision:
As I approach the tablet with the Stone of Commune, it starts to buzz.
Touch the Stone of Commune to the Tablet of Vision.


2010 I moved Clinton, MS in order to go to Mississippi College: A Christian University and graduated in 2013 with a Bachelor's of Science in Business Administration and majored in accounting.
After college, I decided to take opportunities to travel and live in various places. Ended up living in Norfolk, VA and Springfield, MO. I visited many places within the US such as Boston, New York City, Savannah, GA, and Key West, Fl to name a few. Outside the US, I visited the Bahamas and Panama.
In 2016, I got the opportunity to move to Clearwater, Florida and became a certified Real Estate agent and worked on a team of Realtors. During that time, I became the photographer of our listings. Along with created websites with various online tools such as Wix, and Wordpress to create websites and felt drawn to doing web development, but felt as though I was too old to start.
In the beginning of 2018, I got a job working as a long-term substitute teacher and was offered the full-time teaching role for the next year. During the same time, I was in contact with a company called Quantrex Research, Inc and was offered a chance to come and learn web development. I decided to not take the contract and left to pursue becoming a web developer. After working there for about 10 months I decided to increase my learning pace by going to Dev Mountain Web Development Bootcamp.


Wrapper for the 'PoetryDB' API <http://poetrydb.org> that allows for interaction and data extraction from the database in an R interface. The 'PoetryDB' API is a database of poetry and poets implemented with 'MongoDB' to enable developers and poets to easily access one of the most comprehensive poetry databases currently available.
| Version: | 1.0.1 |
| Imports: | jsonlite, httr, stringr |
| Suggests: | httptest, testthat, knitr, rmarkdown |
| Published: | 2018-07-07 |
| Author: | Aaron Schlegel |
| Maintainer: | Aaron Schlegel <aaron at aaronschlegel.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | Rpoet results |
| Reference manual: | Rpoet.pdf |
| Vignettes: |
Vignette Title |
| Package source: | Rpoet_1.0.1.tar.gz |
| Windows binaries: | r-devel: Rpoet_1.0.1.zip, r-release: Rpoet_1.0.1.zip, r-oldrel: Rpoet_1.0.1.zip |
| OS X binaries: | r-release: Rpoet_1.0.1.tgz, r-oldrel: Rpoet_1.0.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=Rpoet to link to this page.


The UEFI Boot checkbox enables installation on UEFI motherboards without requiring a Legacy BIOS Compatibility Support Module.
Please note that Windows 7 does not contain the drivers required for native UEFI support. If you integrate your Video Card Drivers into Windows 7, you can install Windows 7 through UEFI successfully. However, the default "vga.sys" driver is not UEFI compatible, so even with a compatible driver, Safe Mode and other instances where the default display drivers are used will fail to display anything. The better option, if you can, is to enable Legacy Graphics/Video Support in your UEFI without enabling full Legacy BIOS Compatibility.


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☰


Blog
Jason's Blog
The Fellowship of the Ring
We should walk instead of fly
The Two Towers
We're working on a third
The Return of the King
He's back from vacation


SONNY'S
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SONNY'S PIZZA
the home of pummarola
Pizza Peppe's
is cool
Pizza Stralolli
is cool
Pizza Blanche
is cool
Pizza O'mar
is cool


Just the Head
para 1
para 2
Just the bear bones of html
Pre-made site using a combination of html,js,css


| Author | Sebastien Lelong© 2011, all rights reserved. |
| Adapted-by | |
| Compiler | 2.4n |
SPI Master common constant definition, used both by MSSP1 and MSSP2
content was extracted from spi_master_hw.jal at rev 1537 http://code.google.com/p/jallib/source/browse/trunk/include/peripheral/spi/spi_master_hw.jal?r=1537
No dependency found
const SPI_RATE_FOSC_64 = 2
const SPI_MODE_01 = 1
const SPI_MODE_11 = 3
const SPI_RATE_FOSC_4 = 0
const SPI_RATE_TMR = 3
const SPI_RATE_FOSC_16 = 1
const SPI_MODE_00 = 0
const SPI_MODE_10 = 2
const SPI_RATE_FOSC_64 = 2
No documentation found
const SPI_MODE_01 = 1
No documentation found
const SPI_MODE_11 = 3
No documentation found
const SPI_RATE_FOSC_4 = 0
Use these when calling the spi_init() routine below ( SPI clock frequency )
const SPI_RATE_TMR = 3
No documentation found
const SPI_RATE_FOSC_16 = 1
No documentation found
const SPI_MODE_00 = 0
Use these when calling the spi_init() routine below ( SPI master mode )
const SPI_MODE_10 = 2
No documentation found


Preparation time
30 mins to 1 hour
Cooking time
over 2 hours
Serves
Serves 4-6
Give your lamb casserole a Greek twist with aubergines, peppers and parsley.
Sprinkle the aubergine with salt and leave to drain in a colander for 1 hour. Remove and dry with a tea towel.
Heat the oil in a large lidded casserole over medium heat. Add the aubergines and peppers and cook, turning occasionally, until lightly browned, about 10 minutes. Remove with a slotted spoon and set aside.
Add the lamb to the casserole and cook over medium heat, stirring frequently, until lightly coloured, about 8 minutes.
Add the onion and cook for 4 minutes. Add the tomatoes, sugar, parsley, salt and pepper. Cover and simmer for 1½ hours, until the meat is tender and the sauce is thick.
Preheat the oven to 200C/180C Fan/Gas 6.
Return the aubergines and red peppers to the pan, folding them through the stew a little. Bake for 20 minutes.


Digits
Time limit: 5 secs.
Given two integers, n and m, how many digits have nm?
Examples:
2 and 10 - 210 = 1024 - 4 digits
3 and 9 - 39 = 19683 - 5 digits
Input
The input is composed of several test cases. The first line has an integer C, representing the number of test cases. The following C lines contain two integers N and M (1 <= N, M <= 100).
Output
For each input test case of your program, you must print an integer containing the number of digits of the result of the calculated power in the respective test case.
| Input | Output |
4 1 12 103 9100 100 | 145201 |
| Here Goes The Code |
#include< stdio.h >
int main()
{
long long int n,m,temp,d=0; /*long long int is used because of the input constraints. 'n','m','temp', and 'd' are used to store the values of base, index, temporary values, and number of digits respectively. */
scanf("%lld %lld",&n,&m);// Accept the base and the index
temp=pow(n,m); // Calculate n^m
while(temp!=0) //as long as the value of temp does not become equal to zero, keep running the loop.
{
temp/=10; // keep dividing n^m by 10
d++; //And increment the counter variable 'd' to count the digits.
}
printf("%lld",d); //Print the number of digits.
return 0;
}
|
| Inputs | Outputs |
1 12 103 92 1916 16 | 145619 |


btGImpactCompoundShape::CompoundPrimitiveManager Class Reference
compound primitive manager
More...
#include <btGImpactShape.h>
List of all members.
|
Public Member Functions |
|
virtual bool | is_trimesh () const |
| | determines if this manager consist on only triangles, which special case will be optimized
|
|
virtual void | get_primitive_triangle (int prim_index, btPrimitiveTriangle &triangle) const |
| | retrieves only the points of the triangle, and the collision margin
|
Detailed Description
compound primitive manager
Definition at line 314 of file btGImpactShape.h.
The documentation for this class was generated from the following file:
- C:/Users/New/Documents/Games_Technology/Year4_Semester1/ICT397/~My Work/Assignment2/ICT397Carre/CarreGameEngine/Dependencies/BulletPhysicsEngine/include/BulletCollision/Gimpact/btGImpactShape.h


Hover or click each image to learn more about the authors
About Lydia
My name is Lydia Minehan-Tubic. I’m from Seattle, Washington, and I am a Program Manager gone Programmer! I studied Environmental Studies at the University of Washington, and have been working in the environmental field for the past 7 years as a Renewable Energy specialist for electric utilities.
About Mal
Hello, my name is R. Mal Sweet. I’m a former Navy veteran currently trying to enter the field of software development. I spent most of my former career working with electronic maintenance, and afterward in the field of private security. My goal is to find a career I can actually enjoy doing.
About Victor
I spent 8 years in the U.S Army followed by 5 years as a Deputy Sheriff. I have also taught High School, driven for Uber, delivered packages for Amazon, owned bars and restaurants and even worked for IBEW Local 46. I love to learn and have a passion for technology and helping others. I am currently a full-time student and aspiring software developer.
About Paulo
Hiya! My name Is Paulo Martin, I'm an aspiring software developer. Before starting at code fellows I was studying Environmental Resource Engineering at Humboldt state university. I have a passion for computer technologies and dabbled in in the hackathon space in the Philippines and also in the bitcoin space. I hope to use my knowledge of linear programming, love of calculus, optimization courses, 3D printing, making environmentally friendly filament and blockchain technologies to build a greener future.


All solutions should be considered unofficial. There is no guarantee that a given solution will work with your application. If you find that a solution is insufficient, please let me know by submitting an issue on Github.


interface OnDialogActionChosenListener
Functional interface used to allow the creator of this dialog fragment to run code after an option in the dialog has been selected.
abstract fun onAddChild(person: Person): Unit
Invoked when the user has chosen to add a child to the given person. |
|
abstract fun onAddMarriage(person: Person): Unit
Invoked when the user has chosen to add a marriage involving the given person. |
|
abstract fun onAddParent(person: Person): Unit
Invoked when the user has chosen to add a parent to the given person. |
|
abstract fun onSwitchTree(person: Person): Unit
Invoked when the user has chosen to view the given person's tree. |
|
abstract fun onViewPerson(person: Person): Unit
Invoked when the user has chosen to view the details of the given person. |
class TreeActivity : NavigationDrawerActivity, OnDialogActionChosenListener
Activity to display a TreeView. |


This javascript snippet is a simple way to add to any online content or project a comment system, a comment system over the blockchain.
A online content or project only need publish his transaction address and add the snippet. Every new transaction with a message is a new comment to show.
If you like some project or content, you can make a transaction with a message to support this with your opinion and with some bitcoins.

Github repo


A place of tantalizing tranquility. This website helps relax, study, sleep, meditate, and focus. Enjoy!
Contact me below.
I started this website because of many reasons. Here are some of the main ones:
Feel free to share or connect with any of the social media of Serenity below.
In this section, I discuss the upcoming science behind sound-based concentration, and the research that has been done in studies on this topic.
One of the best studies on the ability of sound - especially natural ones - to improve focus or relax a person can be found here. The abstract of the study begins by describing the Attention restoration theory (ART). I will add a lot more details after analyzing the research soon.
Social Media


The first step of the enablement process is
Schema Enablement which data definition language (DDLs) are enabled to run on DB2.
The heart of every database is its data. Mismatched types or mismatched semantics of these types can seriously impact the ability to enable an application to another RDBMS. So to allow Oracle applications to run on DB2, it is crucial to support its non-standard basic types, such as strings, dates, and numerics.
DB2 9.7 supports some Oracle data types to make DB2 enablement more easily and quickly. DB2 new data types are:


Event-Time Processing
Consistent time semantics are of particular importance in stream processing. Many operations in an Event Processor are dependent on time, such as joins, aggregations when computed over a window of time (e.g., 5-minute averages), and the handling out-of-order and "late" data. In many systems, developers have the choice between different variants of time for an event:
- Event-time, which captures the time at which an event was originally created by its Event Source.
- Ingestion-time, which captures the time an event was received on the event stream in an Event Streaming Platform.
- Wallclock-time or processing-time, which is the time at which a downstream Event Processor happens to process the event (which can be milliseconds, hours, months, etc. after event-time) . Depending on the use case, developers need to pick one variant over the others.
Problem
How do we implement event-time based processing of events?
Solution
For event-time processing, the Event Source must include a timestamp in the event (e.g., in a data field or header metadata) that denotes the time at which the event was created by the source. Then, on the consuming side in an Event Processing Application, we need to extract this timestamp from the event, which allows the application process events based on their original timeline.
Implementation
ksqlDB
In the streaming database ksqlDB, every event/record has a system-column named ROWTIME
representing the timestamp for the event, which defaults to the time at which the event was originally created by its Event Source. For example, when we create a ksqlDB STREAM
or TABLE
from an existing Kafka topic, then the timestamp embedded in a Kafka message is extracted and assigned to the event in ksqlDB. (cf. CreateTime of a Kafka ProducerRecord
and the Kafka message format).
Sometimes, this default behavior of ksqlDB is not what we want. Maybe the events have a custom data field containing their actual timestamps (e.g., some legacy data that has been around for a while was ingested into Kafka only recently, so we can't trust the CreateTime
information in the Kafka messages because they are much newer than the original timestamps). To use a timestamp in the event payload itself, we can add a WITH(TIMESTAMP='some-field')
clause when creating a stream or table, which instructs ksqlDB to get the timestamp from the specified field in the record:
CREATE STREAM my_event_stream
WITH (kafka_topic='events',
timestamp='eventTime');
Kafka Streams
The Kafka Streams client library of Apache Kafka provides the TimestampExtractor
interface for extracting the timestamp from events. The default implementation retrieves the timestamp from the Kafka message (see discussion above) as set by the producer of the message. Normally, this setup results in event-time processing, which is what we want.
But for those cases where we need the timestamp from the event payload, we can create our own TimestampExtractor
implementation:
class OrderTimestampExtractor implements TimestampExtractor {
@Override
public long extract(ConsumerRecord<Object, Object> record, long partitionTime) {
ElectronicOrder order = (ElectronicOrder)record.value();
return order.getTime();
}
Generally speaking, this functionality of custom timestamp assignment makes it easy to integrate data from other applications that are not using Kafka Streams or ksqlDB themselves.
Additionally, Kafka has the notion of event-time vs. processing-time (wallclock) vs. ingestion time, similar to ksqlDB. Clients like Kafka Streams make it possible to select which variant of time we want to work with in our application.
Considerations
When considering which time semantics to use, it comes down to the problem domain. In most cases, event-time processing is the recommended option. For example, when re-processing historical event streams (such as for A/B testing, for training machine learning models), only event-time yields correct processing results. If we use processing-time (wall-clock time) to process the last four weeks of events, then an Event Processor will falsely believe that these four weeks of data were created just now in a matter of minutes, which totally breaks the original timeline and temporal distribution of the data and thus leads to incorrect processing results.
The difference of event-time to ingestion-time is typically less pronounced than to processing-time as described above, but ingestion-time still suffers from the same conceptual discrepancy between when an event actually occurred in the real world (event-time) vs. when the event was received and stored in the Event Streaming Platform (ingestion-time). If, for some reason, there is a significant delay between event capture and delivery to the Event Streaming Platform, then event-time is the better option.
One reason not to use event-time is when we cannot trust the Event Source to provide us with reliable data, which includes the embedded timestamps of events. In this case, ingestion-time can become the preferred option, if fixing the root cause (unreliable event sources) is not a feasible option.
References
- Wallclock-Time Processing provides further details on using current time (wallclock time) as the event time.
- Timestamp assignment in ksqlDB
- See the tutorial Event-time semantics in ksqlDB for further details on time concepts


STEVE FINNAN
Position: Defender
Date of Birth: 24/04/1976
Height: 6'0
Weight: 12 st 3
1st team games: 181
1st team goals: 1
International caps: 46
International goals: 1
Former clubs: Welling, Birmingham City, Notts County, Fulham
Birth Place: Limerick