--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/olean-rs.20on.20Travis.20is.20verbose.html ---
Currently the Travis log is very verbose when it starts checking that dependencies are minimal: https://travis-ci.org/leanprover-community/mathlib/jobs/527147591
Do we want this, or should we instruct the Makefile to be a bit more silent?
Does it matter?
Well... it means you have to scroll down a long time before you see the error. But I guess that's why there is an End
key on my keyboard :sweat_smile:
Same topic, different question: @Simon Hudon can we make the output more helpful? https://travis-ci.org/leanprover-community/mathlib/jobs/527258584
Travis is complaining that the import is unused. But it is the only import, so I surely can't just remove it. Can the script explain what is the "correct" set of imports?
I feel like a lot of PRs are going to stumble over this new check, unless we provide people with the tools to quickly fix their imports to the required minimum.
I have that feature, it's not released yet but I can release it
@Simon Hudon Does releasing it mean that Travis automatically picks it up?
It does but I haven't tested it yet so I have to do that first
Check out https://travis-ci.org/leanprover-community/mathlib/jobs/527258584
If you install olean-rs
locally, you can run the test before committing. I set it up to make it easier to check and recheck if you fix anything
I can confirm this works nicely now!
Actually, sometimes it suggests too much. e.g. https://travis-ci.org/leanprover-community/mathlib/jobs/527683532 told me
* unused imports for algebraic_geometry.presheaf category_theory.natural_isomorphism - replace with import category_theory.functor_category category_theory.isomorphism tactic.simpa
but in fact none of those three was necessary (presumably because they are already implied by other existing imports)
I think overall I don't like this as a travis test.
The PR process is already soul-crushing, and having yet another potential hiccup in the hours long process of waiting until travis is happy is just unbearable.
I would prefer that we just run olean-rs
every couple of months and make a single PR with lots of import fixing.
@Simon Hudon I think this one at least needs more testing. Can we disable it?
I would prefer that we just run
olean-rs
every couple of months and make a single PR with lots of import fixing.
This PR could potentially even be scriptable, right? :wink:
Yeah... I've just sat through a 45 minute build in order to see a second error message from olean-rs. This step in the PR process basically makes it compulsory for all PR authors to install a local copy of olean-rs, which is not okay.
import optimization on every commit is silly
I wouldn't write "silly", but it certainly sounds like an unconvenient overkill
Maybe it would be okay if it was an automatic cleanup, but travis just saying "you weren't optimal, so you lose" is a recipe for stress
@Mario Carneiro Do you know how to disable the test?
just restore the travis.yml to what it was before Simon added the test?
Should I try to do that?
There are other linter warnings we might want to run, but the import test is the only one that's implemented so far
and it's not worth interrupting someone's workflow for that
stuff like indentation would be a better test
I guess we need to remove these 4 lines https://github.com/leanprover-community/mathlib/blob/master/.travis.yml#L57-L60
@Mario Carneiro should we just merge this? Or should this go through Travis + Mergify?
you should usually test travis changes first, let it run
I would even had instructed Travis to keep away from this commit (using [ci skip]
in the commit message)
Travis could feel we are rebelling, and reject the commit
isn't it [ci-skip]
?
Next time I'll add both (-;
https://docs.travis-ci.com/user/customizing-the-build/#skipping-a-build
no dash
Maybe you are confused because [travis-ci skip]
is a thing
I also just got an error message that make unused
took longer than 10 minutes: https://travis-ci.org/leanprover-community/mathlib/jobs/527719987
@Mario Carneiro Does Travis use the .travis.yml
of the branch or of master?
It would be quite unsafe to use the config from the PR branch...
@Scott Morrison Your life should now be a bit easier again. I've disabled those checks on Travis.
I'm not happy about disabling this check
If you run olean-rs
on your machine, you can catch those problems. If you don't run it, the back and forth with Travis should catch those issues.
Otherwise, it becomes someone's job to fix your messes
It's easy to fix the timeout issue. @Scott Morrison Would it make things better if the problem was reported as soon as the file was built? That's easy to do.
@Simon Hudon We will need better instructions for PR authors. Most of them haven't even heard of olean-rs
. Also... Scott reported false positives by olean-rs
. I think that justifies disabling the checks for now. Moreover, if olean-rs
could output a sed
-script that will automatically fix all my imports, than it's really easy to use. The manual-iterative process is not a good thing.
The back-and-forth with Travis takes >40 minutes per cycle. That isn't realistically workable.
I could get script/setup-dev-scripts.py
to install olean-rs
(and maybe we could rename it to leant
)
As for automatically applying the changes, we're not there yet. It would be an improvement but it is not necessary
What we can do is get the errors to reported earlier in the build. With travis caching the build, the first file it compiles should be one you changed and we should check it right away so that the build fails quickly if you messed up
If you don't want to wait for travis to do it, you can do it on your own machine and we can make it easy to install
We first need to make it easy to install and use. And we need Travis to fail fast. After that, we can enable the check. Currently the community wasn't ready for this check yet.
Ok, I'll work on that
Thank you so much!
:+1:
How do you guys feel about having olean-rs
identify unused lemmas? I'm thinking of having options to declare that some theorems or lemmas are necessary or even whole files
what about endpoint theorems? What is necessary by fiat?
mathlib has a lot of endpoint theorems because it's a library
For sure. And there may be a concise way of specifying them
that sounds like a lot of labeling. Almost all theorems in mathlib are endpoint theorems, to the extent that you will end up transferring the work to management of the annotations
Are you sure? When you set off to prove a theorem, do you mostly use the other big theorems that you or other people proved before or the tiny lemmas that surround the definitions that you're using? I feel like the latter is the case
right, that's my point
the tiny lemmas are just as important if not moreso than the big theorems
It might be good to have a list of theorems that are never referenced, but I don't think we will need to do anything about most of them
What information would you get from that list?
you could look at the list and find things that really are internal lemmas, but they don't stick out in any particular way
Way back at the start of mathlib I tried to institute the convention that all theorems are called theorems, but then all the mathematicians got involved and want to call these tiny theorems lemmas instead
What difference did it make?
Huh? No difference, lean doesn't care
but I don't like meaningless distinctions and there is a bit of information there that is going to waste
But presumably, you had a reason to want to adopt that convention
The rule was that everything is a theorem, unless it is private then it is a lemma
Ah ok
It was my attempt at labeling endpoint theorems, like I said, everything is an endpoint theorem in mathlib
we could pick that convention up again
Would you go so far as to say that there's no such thing as dead code in mathlib?
Since lean does not provide any facilities to hide stuff, anything in mathlib is observable
But mathlib changes often and some things are more stable than others
I try to reliably name my actual lemmas *_aux
In principle I should mark them private
too but because lean kernel has no built in support for privacy lean elaborator has to do tricks with namespaces that sometimes leak
I don't suppose finding unused _aux
definitions / lemmas is that useful for code review
However, marking a theorem or def private
is a drastic measure, and many times I have found that I want to access that private thing later, so I tend to err on the side of making everything public these days
I'm in the same boat.
I never find that something should be private and often find that they shouldn't be
Actually, I'd be perfectly fine if Lean didn't have a private
mechanism
I don't think it really does
It does not hide things completely but it does end up that we don't use private stuff from other modules.
How about this: marking something as lemma
means it is eligible for cleanup if nothing references it
forget private
That's reasonable
The problem for automation is that lemma vs theorem does not make it to olean
files. I think I have to start looking at the lean
files to find issues with PRs
olean-rs
should be able to do this much
Actually, maybe I can use the olean
files to enforce naming policies
To do how much?
the experimental lean parser doesn't know that much but it knows command keywords so it can tell what the lemmas are
But this also has to be paired with some community norm changes re: random use of lemma
vs theorem
That makes sense. We can also couple this kind of check with looking for definitions that are not referenced by other definitions or theorems / lemmas
Definitions are harder to clean up. Again, almost every def
is expected to be used possibly outside mathlib
I don't think there is a better option than checking for use of *_aux
How does that make things better?
We could consider definitions to be end-points and report errors if they don't have specifications
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


Project Brief
View our project brief as a PDF here.
What is the problem in brief?
Nonverbal communication (communication without spoken word, may use text, images, body language, etc) is frequently useful or necessary (be it for anxiety attacks, audience members, those who cannot, or do not prefer to, communicate with spoken word, etc). However, it often lacks a degree of specificity or finesse, or isn’t well-understood. There looks to be room for a frictionless way to convey information in a conversational manner, non-verbally.
How will your project change the status quo? For whom?
Our product would improve the ability and ease of communication for people who are nonverbal. These users can be people who are either permanently or temporarily non-verbal (i.e. having a panic attack vs. deaf or hard of hearing) as well as those who prefer to communicate nonverbally.
This will allow people who are nonverbal connect and interact with people who communicate verbally in an easier and more positive manner. In addition, our product would effectively inform people about the reasons and nuances of being non-verbal and allow the uninformed people positively interact with people who are nonverbal.
What is (at least) one naïve design idea (rough sketch)? How does this idea address what you see as the core problem?
One initial design idea we have is to make an Android app. It could also take on the form of a web-app and/or iOS app. We are also considering some universal solutions such as Polymer which automatically allows for cross platform existence. All of these implementations will allow fast and easy access to this tool when under the specified circumstances above which is vital for the success of an frictionless interface.
A rough sketch of some screens of our app can be seen below.
The app enables the user to inform another of their circumstances, in order to allow the introduction to the conversation to begin easily. The app would probably allow users to pass the phone back and forth. In this naive design idea, customization is heavily emphasized. This method of communication is an integral part of a nonverbal person’s life, so it might be important for them to be able to express themselves through their method of communication.
What information do you need to collect? How will you collect it? How will you meet your target users, or who can serve as effective proxies for them?
Target users are potentially a large group of people who use nonverbal communication for a variety of reasons. It is possible that we will want to narrow our focus to a particular use case, and also possible that we will be able to create a versatile interface that can be customized for those varied use cases.
We will be able to glean insights from the reviews left by some of the 10 thousand users of Emergency chat, which is a nonverbal (text-based) chat client created for use in critical situations such as anxiety attacks. We can learn a lot from this app and its users, and also direct our focus toward different use cases-- for example, nonverbal communication is not only for emergencies, and having an app called “emergency chat” sets a specific tone and character on the communication.
Additionally, we can look at how people communicate in this space without dedicated tools. For example - when people type out a text, show it to a friend next to them, and then don’t send it, they’re improvising a similar system. In an above-mentioned example of people who become deaf later in life, our digital interface could be compared to an offline counterpart - for example, carrying around a notebook and pen.
How will your team work together to accomplish these goals (as well as your individual learning goals)?
We will all abide to the team contact and support each other to achieve their individual learning goals. We will individually take responsibility of assigned tasks and actively make an effort to maintain the team health.


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{% extends "bootstrap_layout.html" %} {% block content %}
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10.Hotels Typology
Why Traveling is important in Life
Nowadays travel around the world it isn’t just for vacations, traveling it is part of the daily
life. Let’s star defining that tourism is the practice of traveling for recreation, so people
travel in order to know new places. Tourism and traveling it isn’t only a way to expend
money but also to experience completely different cultures, cuisines and landscapes, while
you take pictures. Most of scientists said that traveling is a way to improve both the
physical and emotional health of people, so traveling it isn’t only an activity for leisure but
also helps people to escape from a sedentary life.
Moreover tourism an traveling it’s an activity that benefits everyone around the world,
since tourism is an economic activity it contributes not only people who work in hotels,
restaurants or airports, but also countries because visitor expend money in transport, food,
and so on. Also now there are a lot of types of tourism, for example if someone loves
surfing, climbing that people are searching for adventure tourism or if he or she likes to
learn more about new culture that person is looking for an culture tourism, and like this are
so many types of tourism. As a result of the choice made there are still more benefits like
the possibility of discover places you never imagined existed or discover the incredible
cultural diversity. Another significant factor of traveling is how people get out of their
comfort zone, because they can meet people from across the globe and learn new
languages. These are some of the reasons why traveling it more than a leisure activity it’s a
way of live, because every day it’s a new experience.
As we have seen traveling could be one of the best activity for everyone life, but this kind
of life it isn’t that easy, and we can also say that it’s a waste of time. Let’s imagine that
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learn about new cultures, but what happen if someone is poor or that a person should work
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world. Nowadays there are more effective and interesting ways to try new things, because
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Duke and Duchess of Cambridge enjoy glamorous night at Royal Variety Performance
The Duke and Duchess of Cambridge enjoyed a glamorous night out on Monday evening as they attended the Royal Variety Performance.
Prince William, 37, and Kate Middleton, 37, wowed guests with their third appearance at the event at the London Palladium.
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The royal couple greeted a number of performers, including some of the cast of the new Mary Poppins musical.
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William asked where they were performing and Zizi told him it was the Prince Edward Theatre, opening this week, according to the MailOnline.
Explaining how the cast were rushing to their performance after opening the variety show, she said: ‘We are doing a show tonight’.
The prince replied saying: ‘I love Mary Poppins!’
Petula Clark told Kate she would have to bring their children – George, six, Charlotte, four, and Louis, one – to the show, to which she said: ‘They would love it.’
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When they asked if they could come and became excited about the dancing and singing, she said she had told them: ‘Not on a school night’.
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The royals also got a chance to meet executives from the Royal Variety Charity and ITV before and after the show.
Tonight’s performance is hosted by comedians Rob Beckett and Romesh Ranganathan and includes a special collaboration by Emeli Sandé and Manchester’s Bee Vocal choir.
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Okanagan Marathon
Kelowna BC/CAN
Website: www.okanaganmarathon.ca/
Race Winners
(23 runnings)
08 Oct
2006
09 Oct
2005
10 Oct
2004
12 Oct
2003
13 Oct
2002
07 Oct
2001
08 Oct
2000
10 Oct
1999
17 May
1998
18 May
1997
19 May
1996
21 May
1995
Notes: 1995 was the inaugural year. The course prior to 2010 was
point-to-point. The present course is basically two loops with a long
connector.
08 Oct
2017
2:34:27
David Eikelboom (CAN)
3:06:12
Claire Young (CAN)
09 Oct
2016
2:39:49
Ryan Prachnau-2
2:52:47
Kari Elliott (AB/CAN)
11 Oct
2015
2:33:15
Lewis Kelly (CAN)
3:04:25
Abigail Huyser Wierenga (CAN)
12 Oct
2014
2:39:36
Ryan Prachnau (BC/CAN)
3:02:47
Danielle Bougeois (AB/CAN)
13 Oct
2013
2:30:29
Brendan Lunty (AB/CAN)
3:06:07
Allison Blackmore (AB/CAN)
07
Oct
2012
2:51:10
James Curran-2
3:00:40
Rhonda Loo (AB/CAN)
09 Oct
2011
2:44:54
James Curran (AB/CAN)
3:10:20
Heather Johnson (BC/CAN)
10 Oct
2010
2:39:16
Jack Cook (AB/CAN)
3:00:05
Keddi-Anne Siterbino (BC/CAN)
11 Oct
2009
2:51:54
Brent Pickerl (AB/CAN)
3:11:50
Paige Howat (BC/CAN)
12 Oct
2008
2:39:56
Brian Torrance (AB/CAN)
2:55:50
Gillian Moody (BC/CAN)
07 Oct
2007
2:38:27
Scott Tremblay (BC/CAN)
3:14:23
Christy Lovig (AB/CAN)
2:38:34
Trevor Haaheim (BC/CAN)
3:06:22
Amanda McLeod (AB/CAN)
2:42:08
Marc Collie-2
3:08:46
Kari Elliott (AB/CAN)
2:44:35
Sergio Pio-3
3:05:50
Barb Scatchard (BC/CAN)
2:42:57
Sergio Pio-2
3:06:47
Heidi Schmutzer (BC/CAN)
2:45:05
Sergio Pio (BC/CAN)
3:14:01
Julie Heidt (AB/CAN)
2:38:36
Marc Collie (AB/CAN)
3:00:40
Petra Graen (AB/CAN)
2:35:39
Donald Bambury-2
2:57:42
Fariyal Samson (AB/CAN)
2:36:27
Donald Bambury (CAN)
2:56:11
Nathalie Butler (BC/CAN)
2:38:20
Ryan Leef (YK/CAN)
2:49:44
Noriko Kawaguchi (JPN)
2:28:30
Nigel Winfield (ENG
2:49:53
Sandy Jacobson (AB/CAN)
2:27:03
Larry Nightingale-2
3:20:37
Linda Marshall (AB/CAN)
2:30:34
Larry Nightingale (BC/CAN)
3:07:46
Jan McKinnon (AB/CAN)
Most Wins
(1995-date)
Men
3
Sergio Pio (BC/CAN)
2002-04
Women
No woman has won more than once.
Prize Money
(ADR qualified runners)
No prize money has been awarded at this race.
Race Time Bias
(sec/km)
Insufficent information to calculat the race time bias.
Competitive Level
(1990-date)
Insufficent information to calculat the competitive level.
Quality Performances
Men
No man has run under 2:20
Women
No woman has run under 2:50
Last Updated on 11 Oct 2017
Contributor: Maurice Wilson (35 points)


{% extends 'base.html'%} {% import 'macros.html' as macro%} {% block content %}
Feel free to go through various article from different resources


predicate_property/2
predicate_property(
?Callable,
?PredProperty)
Unifies PredProperty with a predicate property of an existing predicate, and Callable with the most general term that corresponds to that predicate.
The skeletal specification of a loaded predicate.
The various properties associated with Callable. Each loaded predicate will have one or more of the properties:
built_in
(for built-in predicates)
or compiled
or interpreted
(for user defined
predicates) or fd_constraint
for FD predicates
see Defining Primitive Constraints.
dynamic
for predicates that have been
declared dynamic (see Dynamic Declarations),
multifile
for predicates that have been
declared multifile (see Multifile Declarations),
volatile
for predicates that have been
declared volatile (see Volatile Declarations),
(block
Term)
for predicates
that have block declarations (see Block Declarations),
exported
or terms
imported_from(
ModuleFrom)
for predicates
exported or imported from modules (see ref-mod),
(meta_predicate
Term)
for predicates
that have meta-predicate declarations (see ref-mod-met).
If Callable
is instantiated then
predicate_property/2
successively unifies PredProperty with
the various properties associated with Callable.
If PredProperty is bound to a valid predicate property, then
predicate_property/2
successively unifies Callable with the
skeletal specifications of all loaded predicates having
PredProperty.
If Callable is not a loaded predicate or PredProperty is not a valid predicate property, the call fails.
If both arguments are unbound, then predicate_property/2
can be
used to backtrack through all currently defined predicates and their
corresponding properties.
| ?- [user]. | :- dynamic p/1. | p(a). | end_of_file. % user compiled 0.117 sec 296 bytes yes | ?- predicate_property(p(_), Property). Property = dynamic ; Property = interpreted ;
P
imported into module m
from any module:
| ?- predicate_property(m:P, imported_from(_)).
P
imported into module m1
from module m2
:
| ?- predicate_property(m1:P, imported_from(m2)).
P
exported by module m
:
| ?- predicate_property(m:P, exported).
| ?- predicate_property(M:f, imported_from(m1)).
will return all modules M
that import f/0
from m1
.


| Total Sales | Change | |||
|---|---|---|---|---|
| 1 | BRAZIL | 4234 | +35% | |
| 2 | CHINA | 3214 | -25% | |
| 3 | BELGIUM | 2842 | +28% | |
| 4 | FRANCE | 1942 | +15% |
|
W
|
Last Update: 12m ago Currently Waiting |
253 Shipments
584 Orders
|
|
S
|
Last Update: 12m ago Successfully Completed |
312 Shipments
409 Orders
|
|
D
|
Last Update: 6m ago Delayed |
122 Shipments
341 Orders
|
|
P
|
Last Update: 15m ago Preordered |
221 Shipments
332 Orders
|


An Embedded Content Widget is used to embed content from an external site to a widget. You can integrate the contents of another web page into your own by two approaches: show the extract HTML or content of URL.
The code listings below are the source files for the Embedded Content Widget definition with inline comments describing the parts that compose the standard Embedded Content Widget type. It includes the widget's definition as well as its corresponding configurator form for defining how to configure (create/edit) the widget.
This part shows the actual widget definition. It includes, among other things, the components and providers that compose the widget itself.
This part shows the form that's used for configuring (creating/editing) the widget.


•
• Dialup/VPN Passwords (2000/XP/Vista/2003): Dialup/VPN passwords are stored as LSA secrets under HKEY_LOCAL_MACHINE\Security\Policy\Secrets. This key contains multiple sub-keys, and the sub-keys which store the dialup passwords contains one of the following strings: RasDefaultCredentials and RasDialParams.
• This key is not accessible from RegEdit and other tools by default, but you can use one of the following methods to access this key:
•
• Use at command to run RegEdit.exe as SYSTEM user: (doesn't work under Vista)
• For Example:
• at 16:14 /interactive regedit.exe
• Change the permission of entire Security key. If you do that, it's recommeneded to return the permissions back to the original after you finish.
•
• Google Talk: All account settings, including the encrypted passwords, are stored in the Registry under HKEY_CURRENT_USER\Software\Google\Google Talk\Accounts\[Account Name]
•
•
• Google Desktop: Email passwords are stored in the Registry under HKEY_CURRENT_USER\Software\Google\Google Desktop\Mailboxes\[Account Name]
•
• ICQ Lite 4.x/5.x/2003: The passwords are stored in the Registry, under HKEY_CURRENT_USER\Software\Mirabilis\ICQ\NewOwners\[ICQ Number] (MainLocation value)
•
•
• ICQ 6.x: The password hash is stored in [Windows Profile]\Application Data\ICQ\[User Name]\Owner.mdb (Access Database) (The password hash cannot be recovered back to the original password)
•
•
• Digsby: The main password of Digsby is stored in [Windows Profile]\Application Data\Digsby\digsby.dat All other passwords are stored in Digsby servers.
•
•
• PaltalkScene: The passwords are stored in the Registry, under HKEY_CURRENT_USER\Software\Paltalk\[Account Name].


@@include("../blocks/modules/head/head.html")
@@include("../blocks/modules/panel/panel.html")
@@include("../blocks/modules/header/header.html")
@@include("../blocks/modules/ui-library/ui-library.html")
@@include("../blocks/modules/form/form.html")
@@include("../blocks/modules/footer/footer.html")
@@include("../blocks/modules/m-menu/m-menu.html")


How to create the best Virtual Classroom experience
You want to deliver online training. You want to create an engaging learning experience for your participants. But how do you go about creating a virtual classroom that fosters knowledge transfer and engagement? Whether you’re unsure about how to get started with setting up a virtual classroom or you’re currently delivering online training but feel like you’re not quite hitting the spot, we’ve got you covered.
Why should I create a virtual classroom?
During the pandemic, we were all forced to move our learning online. While some of us might want to rush back into physical classrooms or offices, it might be worth giving that virtual classroom another shot. Virtual classrooms are flexible and can allow you to overcome geographical limitations. And, when done right, they can actually be more effective than in-person training.
Creating virtual classrooms saves time – and the environment
Not having to physically travel to a classroom or meeting room undeniably saves us time. This, in turn, increases our productivity and reduces stress. Of course, unless you walk to the classroom, this saves you time and helps to reduce your carbon footprint.
So what could possibly go wrong?
While virtual classrooms have loads of benefits compared to traditional classrooms, that doesn’t mean that they’re always better or more effective. If not set up correctly, a lot can (and will) go wrong, creating an ineffective, non-engaging learning experience. But don’t worry, we’re here to help.
How to create a virtual classroom
When creating a virtual classroom, you can take many different approaches. There really isn’t just one right way of doing this, and sometimes it’s nice to mix it up a little. Here at the VTT, engagement and a learner-centred approach is at the heart of what we do. So no matter which approach you choose, remember: it’s not about you, it’s about them.
Virtual classroom techniques and approaches
Synchronous vs asynchronous communication
Synchronous communication means two or more people communicate with each other in real-time. This could, for example, be live instructor-led training. On the other hand, communicating asynchronously doesn’t happen in real-time. So one person might ask a question at 8am but will only get an answer later that day at 5pm. Both approaches have their advantages and disadvantages, and you can pick and mix as you please. For example, why not offer microlearning units by email in addition to live training?
Flipped classroom
A flipped classroom approach allows you to combine the benefits of live training with the flexibility of self-guided learning. This is one of our personal favourites here at the VTT. It involves providing your learners with the resources ahead of time. This could be in eLearning modules, a PDF playbook or even educational videos. The great thing about a flipped-classroom approach is that learners can use valuable class time to apply and consolidate what they have learnt.
Live virtual classes: the right set up
Delivering online training can be scary, but it doesn’t have to be. With the right set up and thoughtful preparation, you are bound to create an engaging learning experience.
Familiarise yourself with your platform
With so many platforms to choose from, it’s easy to feel overwhelmed. The truth is, there isn’t just one ideal platform, but they all have their advantages and disadvantages. Once you’ve chosen a platform, the important thing is to really get familiar with it and all of its features. It’s also always a good idea to track any potential software updates.
If you’re feeling adventurous, you can even integrate external resources and platforms, such as Kahoot, Mentimeter or Mural, into your sessions!
Hardware for virtual classrooms
Once you’ve chosen your platform, it’s time to think about your hardware. If there is a chance of background noise, investing in a noise-cancelling headset might be a good idea. It’s also crucial to ensure your webcam and audio are working correctly before starting any live sessions and that the angle of the webcam is showing your best self. Some facilitators like using a second monitor when they are delivering training. Ultimately, it all depends on what you feel most comfortable with. Think about how you can make the experience easier for you (and, of course, your participants) rather than trying to incorporate as many fancy gadgets as you can.
Light and background
Nobody wants to look at a dark room. Ideally, place your desk near a window. It’s also essential to have alternative lighting options, such as lamps or ring lights, for when the weather isn’t quite as nice as you thought it would be – this is especially true in winter. While lighting can generally enhance your teaching experience, it is crucial to avoid backlight – unless you want to appear as a mere outline to your learners!
Another thing to consider is your background. You could aim for a plain background, create an appropriate backdrop, or use a virtual background. Remember, this isn’t about you or about showing off how fancy your office is. Instead, the aim is to create a virtual learning environment free of distractions.
Plan ahead
Workshops need to be planned carefully, whether online or in person. In fact, if you want your learners to feel that they are in safe hands, one of our VTT principles, you need to know what you’re doing. There’s nothing worse than realising halfway through your session that you have run out of material. So come prepared, make it engaging, focus on your learners’ needs and enjoy the process!
Still unsure how to facilitate a successful workshop online and set up your virtual classroom? Perhaps consider signing up for our Train the Trainer Programme.


#include "ros/ros.h"
#include "std_msgs/String.h"
#include "geometry_msgs/PoseStamped.h"
#include "mutex"
#include "angles/angles.h"
#include "geometry_msgs/Vector3.h"
#include "geometry_msgs/Quaternion.h"
#include "tf/transform_datatypes.h"
#include "tf/transform_listener.h"
#include <hri_package/Sens_Force.h>
#include <kinova_msgs/PoseVelocity.h>
Go to the source code of this file.
Macros | |
| #define | BASE_FRAME "j2s7s300_link_base" |
| #define | END_EFF_FRAME "j2s7s300_end_effector" |
| #define | FORCE_B_THRESH 0.5 |
| #define | FORCE_F_THRESH 0.5 |
| #define | MAX_STEPS 3 |
| #define | MOVE_BACK 3 |
| #define | MOVE_DOWN 1 |
| #define | MOVE_UP 2 |
| #define | ROTATION_STEP 10 |
| #define | SENSOR_FRAME "forcesensor" |
| #define | VEL_ANG_MAX 0.4 |
| #define | VEL_LIN_MAX 0.04 |
Functions | |
| void | forceGrabber (const hri_package::Sens_Force::ConstPtr msg) |
| void | getRPYFromQuaternionMSG (geometry_msgs::Quaternion orientation, double &roll, double &pitch, double &yaw) |
| int | main (int argc, char **argv) |
| void | moveCup (int direction) |
| moveCup. Wrapper for position control. Different from the moveCup functions in other nodes. More... | |
| void | poseGrabber (geometry_msgs::PoseStamped pose) |
| void | setPoseForDirection (int direction, geometry_msgs::PoseStamped &start_pose) |
| void | statusGrabber (std_msgs::String::ConstPtr status) |
| void | waitForActionCompleted () |
| void | waitForPoseDataAvailable () |
Variables | |
| ros::Publisher | cmd_pos |
| ros::Publisher | cmd_vel |
| geometry_msgs::PoseStamped | current_pose |
| int | current_step =0 |
| double | force_b |
| double | force_f |
| geometry_msgs::PoseStamped | initial_pose |
| std::mutex | lock_force |
| std::mutex | lock_pose |
| std::mutex | lock_proc |
| std::mutex | lock_status |
| bool | processing =false |
| std::string | result |
| float | thresh_ang = 0.15 |
| float | thresh_lin = 0.01 |
| #define BASE_FRAME "j2s7s300_link_base" |
Definition at line 25 of file feeder_position_control.cpp.
| #define END_EFF_FRAME "j2s7s300_end_effector" |
Definition at line 24 of file feeder_position_control.cpp.
| #define FORCE_B_THRESH 0.5 |
Definition at line 28 of file feeder_position_control.cpp.
| #define FORCE_F_THRESH 0.5 |
Definition at line 27 of file feeder_position_control.cpp.
| #define MAX_STEPS 3 |
Definition at line 30 of file feeder_position_control.cpp.
| #define MOVE_BACK 3 |
Definition at line 23 of file feeder_position_control.cpp.
| #define MOVE_DOWN 1 |
Deprecated node. See README.md for more info. Functions that have descriptions in active nodes are not described here.
Definition at line 21 of file feeder_position_control.cpp.
| #define MOVE_UP 2 |
Definition at line 22 of file feeder_position_control.cpp.
| #define ROTATION_STEP 10 |
Definition at line 29 of file feeder_position_control.cpp.
| #define SENSOR_FRAME "forcesensor" |
Definition at line 26 of file feeder_position_control.cpp.
| #define VEL_ANG_MAX 0.4 |
Definition at line 32 of file feeder_position_control.cpp.
| #define VEL_LIN_MAX 0.04 |
Definition at line 31 of file feeder_position_control.cpp.
| void forceGrabber | ( | const hri_package::Sens_Force::ConstPtr | msg | ) |
Definition at line 288 of file feeder_position_control.cpp.
| void getRPYFromQuaternionMSG | ( | geometry_msgs::Quaternion | orientation, |
| double & | roll, | ||
| double & | pitch, | ||
| double & | yaw | ||
| ) |
Definition at line 51 of file feeder_position_control.cpp.
| int main | ( | int | argc, |
| char ** | argv | ||
| ) |
Definition at line 322 of file feeder_position_control.cpp.
| void moveCup | ( | int | direction | ) |
moveCup. Wrapper for position control. Different from the moveCup functions in other nodes.
| direction |
A loop is needed to ensure TF transformation has execution attempts to succeed
Blocking call
Use velocity commands to come approcimately close to target pose
use position controller to precisely reach target pose
Definition at line 154 of file feeder_position_control.cpp.
| void poseGrabber | ( | geometry_msgs::PoseStamped | pose | ) |
Definition at line 280 of file feeder_position_control.cpp.
| void setPoseForDirection | ( | int | direction, |
| geometry_msgs::PoseStamped & | start_pose | ||
| ) |
END EFFECTOR FRAME Z-forward-blue, Y-up-green, X-left-red
SENSORFRAME X-forward-red, Y-left-green, Z-up-blue
Definition at line 85 of file feeder_position_control.cpp.
| void statusGrabber | ( | std_msgs::String::ConstPtr | status | ) |
Definition at line 296 of file feeder_position_control.cpp.
| void waitForActionCompleted | ( | ) |
Definition at line 63 of file feeder_position_control.cpp.
| void waitForPoseDataAvailable | ( | ) |
Definition at line 303 of file feeder_position_control.cpp.
| ros::Publisher cmd_pos |
Definition at line 45 of file feeder_position_control.cpp.
| ros::Publisher cmd_vel |
Definition at line 46 of file feeder_position_control.cpp.
| geometry_msgs::PoseStamped current_pose |
Definition at line 47 of file feeder_position_control.cpp.
| int current_step =0 |
Definition at line 48 of file feeder_position_control.cpp.
| double force_b |
Definition at line 43 of file feeder_position_control.cpp.
| double force_f |
Definition at line 43 of file feeder_position_control.cpp.
| geometry_msgs::PoseStamped initial_pose |
Definition at line 47 of file feeder_position_control.cpp.
| std::mutex lock_force |
Definition at line 42 of file feeder_position_control.cpp.
| std::mutex lock_pose |
Definition at line 39 of file feeder_position_control.cpp.
| std::mutex lock_proc |
Definition at line 41 of file feeder_position_control.cpp.
| std::mutex lock_status |
Definition at line 40 of file feeder_position_control.cpp.
| bool processing =false |
Definition at line 44 of file feeder_position_control.cpp.
| std::string result |
Definition at line 38 of file feeder_position_control.cpp.
| float thresh_ang = 0.15 |
Definition at line 35 of file feeder_position_control.cpp.
| float thresh_lin = 0.01 |
Definition at line 34 of file feeder_position_control.cpp.


{% extends "base.html" %} {% block title %} - Page Not Found{% endblock %} {% block main %}
That page doesn't even exist.


{% extends "template.html" %} {% block content %}
Hello, {{ profile.email }}. Below is the information that was read with your Access Token.


Bagasse Outlet for Omo Sugar Factory
An outlet is something that is used to perform this and this things by using this and this things. We build Outlet for Bagasse field.
Mechanical Laboratory
In Our Mechanical Laboratory, we bring to life several mechanical solutions like the one product mentioned above Out qualified engineers bring this to life.


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ConsoleCursor()
Syntax
ConsoleCursor(Height)Description
Changes the display of the cursor, which is the indicator used to show where the next displayed character will be drawn. This function allows you to change the height of the cursor.
Parameters
Height The new height of the cursor indicator. This value can be zero (for an invisible cursor) or range from 1 to 10 for the height of the cursor. Currently, 3 values are available: 1 : Underline cursor (default) 5 : Mid-height cursor 10: Full-height cursor
Return value
None.
Remarks
By default the cursor is a flashing underline in consoles under the Windows OS. Note that you might need to make the console window full-screen to see the true effect of this function.
The console has to be in graphical mode, see EnableGraphicalConsole().
Example
If OpenConsole() EnableGraphicalConsole(1) For CursorHeight = 0 To 10 ConsoleCursor(CursorHeight) PrintN("Press return to increase cursor size") Input() Next PrintN("Press return to exit") Input() EndIf
See Also
EnableGraphicalConsole()
Supported OS
Windows


History · Log · Pageviews (All languages · Redirects) · Reasonator (Wikidata)
General statistics
Authorship
Top editors
Year counts
Month counts
(Semi-)automated edits
Assessments
General statistics [show] [hide]
| ID | 29228 |
| Wikidata ID | Q39315 · 43 sitelinks |
| Page size | 20,562 bytes |
| Total edits | 2,593 |
| Editors | 1,317 |
| Assessment | C |
| Page watchers | 279 |
| Pageviews (60 days) | 270,121 |
| Minor edits | 657 · (25.3%) |
| IP edits | 1,079 · (41.6%) |
| Bot edits | 121 · (4.7%) |
| (Semi-)automated edits | 592 |
| Reverted edits | 649 |
| First edit | 2001-12-13 02:35 • 4.18.41.xxx • 173 |
| Latest edit | 2021-11-15 21:50 • Squeakachu • -213 |
| Max. text added | 2019-12-04 21:22 • <IP_ADDRESS> • 13,528 |
| Max. text deleted | 2018-04-15 05:43 • Cakeman7555 The Great • -17,158 |
| Edits | |
| Average time between edits (days) | 2.8 days |
| Average edits per user | 2 |
| Average edits per day | 0.5 |
| Average edits per month | 10.8 |
| Average edits per year | 130.1 |
| Edits in the past 24 hours | 0 |
| Edits in the past 7 days | 9 |
| Edits in the past 30 days | 21 |
| Edits in the past 365 days | 132 |
| Edits made by the top 10% of editors | 407 · (15.7%) |
| Links | |
| Links to this page | 621 |
| Redirects | 13 |
| Links from this page | 132 |
| External links | 56 |
| Categories | 16 |
| Files | 12 |
| Templates | 119 |
| Prose | |
| Characters | 8,385 |
| Words | 1,380 |
| Sections | 9 |
| References | 40 |
| Unique references | 27 |
Accounts
·
1,514 (58.4%)
IPs
·
1,079 (41.6%)
Major edits
·
1,936 (74.7%)
Minor edits
·
657 (25.3%)
Top 10%
·
407 (15.7%)
Bottom 90%
·
2,186 (84.3%)
Authorship
[show]
[hide]
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Top editors
[show]
[hide]
Editor statistics over the history of the article.
Top 10 by edits
Oda Mari
·
122 (30%)
Oni Ookami Alfador
·
57 (14%)
Mccunicano
·
56 (13.8%)
Sagaciousphil
·
36 (8.8%)
Hafspajen
·
33 (8.1%)
Bfigura
·
26 (6.4%)
Ben White
·
23 (5.7%)
Elf
·
20 (4.9%)
Idsfa
·
18 (4.4%)
Teratix
·
16 (3.9%)
Top 10 by added text
(approximate)
<IP_ADDRESS>
·
13,528 (38.7%)
Oda Mari
·
4,170 (11.9%)
Abductive
·
2,844 (8.1%)
Hafspajen
·
2,622 (7.5%)
Bfigura
·
2,572 (7.4%)
Oni Ookami Alfador
·
2,457 (7%)
Idsfa
·
1,878 (5.4%)
Sannse
·
1,696 (4.9%)
Discospinster
·
1,601 (4.6%)
Mccunicano
·
1,587 (4.5%)
1 Average time between edits (days)
2 Added text is any positive addition that wasn't reverted
2 Added text is any positive addition that wasn't reverted
Bot list
| Rank | Bot | Links | Edits | ||||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | ClueBot NG | Top Edits · Edit Counter | 46 | ||||||
| 2 | ClueBot (Former bot) | Top Edits · Edit Counter | 19 | ||||||
| 3 | SmackBot (Former bot) | Top Edits · Edit Counter | 7 | ||||||
| 4 | AnomieBOT | Top Edits · Edit Counter | 7 | ||||||
| 5 | Citation bot | Top Edits · Edit Counter | 3 | ||||||
| 6 | Cyberbot II | Top Edits · Edit Counter | 3 | ||||||
| 7 | OrphanBot (Former bot) | Top Edits · Edit Counter | 3 | ||||||
| 8 | Thijs!bot (Former bot) | Top Edits · Edit Counter | 2 | ||||||
| 9 | H3llBot | Top Edits · Edit Counter | 2 | ||||||
| 10 | EmausBot | Top Edits · Edit Counter | 2 | ||||||
| 26 others |
All data is approximate.
Year counts [show] [hide]
All edits
Minor edits
IP edits
Size
| Year | Edits | IPs | IPs % | Minor edits | Minor edits % | Log events |
|---|---|---|---|---|---|---|
| 2001 | 3 | 0 | 0% | 0 | 0% | |
| 2002 | 3 | 0 | 0% | 3 | 100% | |
| 2003 | 3 | 0 | 0% | 1 | 33.3% | |
| 2004 | 18 | 1 | 5.6% | 12 | 66.7% | |
| 2005 | 40 | 19 | 47.5% | 15 | 37.5% | |
| 2006 | 122 | 48 | 39.3% | 20 | 16.4% | |
| 2007 | 317 | 142 | 44.8% | 48 | 15.1% | |
| 2008 | 250 | 116 | 46.4% | 78 | 31.2% | |
| 2009 | 212 | 111 | 52.4% | 48 | 22.6% | |
| 2010 | 213 | 108 | 50.7% | 79 | 37.1% | |
| 2011 | 117 | 52 | 44.4% | 35 | 29.9% | |
| 2012 | 143 | 71 | 49.7% | 27 | 18.9% | |
| 2013 | 171 | 65 | 38% | 37 | 21.6% | 4 protections |
| 2014 | 194 | 44 | 22.7% | 37 | 19.1% | 3 protections |
| 2015 | 24 | 3 | 12.5% | 5 | 20.8% | 1 protection |
| 2016 | 8 | 0 | 0% | 2 | 25% | |
| 2017 | 71 | 24 | 33.8% | 30 | 42.3% | 1 move, 1 deletion, 1 protection |
| 2018 | 286 | 113 | 39.5% | 77 | 26.9% | |
| 2019 | 123 | 50 | 40.7% | 36 | 29.3% | |
| 2020 | 157 | 67 | 42.7% | 36 | 22.9% | |
| 2021 | 118 | 45 | 38.1% | 31 | 26.3% |
Month counts [show] [hide]
| Month | Edits | IPs | IPs % | Minor edits | Minor edits % | Edits · Minor edits · IPs |
|---|---|---|---|---|---|---|
| 2001-12 | 3 | 0 | 0% | 0 | 0% | |
| 2002-01 | 0 | 0 | 0% | 0 | 0% | |
| 2002-02 | 1 | 0 | 0% | 1 | 100% | |
| 2002-03 | 0 | 0 | 0% | 0 | 0% | |
| 2002-04 | 0 | 0 | 0% | 0 | 0% | |
| 2002-05 | 0 | 0 | 0% | 0 | 0% | |
| 2002-06 | 0 | 0 | 0% | 0 | 0% | |
| 2002-07 | 0 | 0 | 0% | 0 | 0% | |
| 2002-08 | 0 | 0 | 0% | 0 | 0% | |
| 2002-09 | 0 | 0 | 0% | 0 | 0% | |
| 2002-10 | 2 | 0 | 0% | 2 | 100% | |
| 2002-11 | 0 | 0 | 0% | 0 | 0% | |
| 2002-12 | 0 | 0 | 0% | 0 | 0% | |
| 2003-01 | 0 | 0 | 0% | 0 | 0% | |
| 2003-02 | 1 | 0 | 0% | 1 | 100% | |
| 2003-03 | 0 | 0 | 0% | 0 | 0% | |
| 2003-04 | 0 | 0 | 0% | 0 | 0% | |
| 2003-05 | 0 | 0 | 0% | 0 | 0% | |
| 2003-06 | 0 | 0 | 0% | 0 | 0% | |
| 2003-07 | 0 | 0 | 0% | 0 | 0% | |
| 2003-08 | 1 | 0 | 0% | 0 | 0% | |
| 2003-09 | 0 | 0 | 0% | 0 | 0% | |
| 2003-10 | 0 | 0 | 0% | 0 | 0% | |
| 2003-11 | 1 | 0 | 0% | 0 | 0% | |
| 2003-12 | 0 | 0 | 0% | 0 | 0% | |
| 2004-01 | 0 | 0 | 0% | 0 | 0% | |
| 2004-02 | 0 | 0 | 0% | 0 | 0% | |
| 2004-03 | 0 | 0 | 0% | 0 | 0% | |
| 2004-04 | 3 | 0 | 0% | 1 | 33.3% | |
| 2004-05 | 3 | 0 | 0% | 1 | 33.3% | |
| 2004-06 | 1 | 0 | 0% | 1 | 100% | |
| 2004-07 | 0 | 0 | 0% | 0 | 0% | |
| 2004-08 | 5 | 0 | 0% | 5 | 100% | |
| 2004-09 | 3 | 1 | 33.3% | 2 | 66.7% | |
| 2004-10 | 1 | 0 | 0% | 0 | 0% | |
| 2004-11 | 0 | 0 | 0% | 0 | 0% | |
| 2004-12 | 2 | 0 | 0% | 2 | 100% | |
| 2005-01 | 6 | 0 | 0% | 3 | 50% | |
| 2005-02 | 0 | 0 | 0% | 0 | 0% | |
| 2005-03 | 1 | 0 | 0% | 1 | 100% | |
| 2005-04 | 2 | 0 | 0% | 2 | 100% | |
| 2005-05 | 1 | 1 | 100% | 0 | 0% | |
| 2005-06 | 1 | 0 | 0% | 0 | 0% | |
| 2005-07 | 4 | 2 | 50% | 2 | 50% | |
| 2005-08 | 2 | 0 | 0% | 2 | 100% | |
| 2005-09 | 8 | 4 | 50% | 2 | 25% | |
| 2005-10 | 7 | 7 | 100% | 0 | 0% | |
| 2005-11 | 1 | 1 | 100% | 0 | 0% | |
| 2005-12 | 7 | 4 | 57.1% | 3 | 42.9% | |
| 2006-01 | 12 | 3 | 25% | 5 | 41.7% | |
| 2006-02 | 5 | 2 | 40% | 3 | 60% | |
| 2006-03 | 14 | 5 | 35.7% | 2 | 14.3% | |
| 2006-04 | 5 | 2 | 40% | 0 | 0% | |
| 2006-05 | 16 | 2 | 12.5% | 4 | 25% | |
| 2006-06 | 7 | 3 | 42.9% | 1 | 14.3% | |
| 2006-07 | 6 | 2 | 33.3% | 2 | 33.3% | |
| 2006-08 | 9 | 1 | 11.1% | 0 | 0% | |
| 2006-09 | 16 | 7 | 43.8% | 1 | 6.2% | |
| 2006-10 | 10 | 9 | 90% | 1 | 10% | |
| 2006-11 | 12 | 6 | 50% | 0 | 0% | |
| 2006-12 | 10 | 6 | 60% | 1 | 10% | |
| 2007-01 | 19 | 14 | 73.7% | 1 | 5.3% | |
| 2007-02 | 22 | 6 | 27.3% | 1 | 4.5% | |
| 2007-03 | 28 | 14 | 50% | 5 | 17.9% | |
| 2007-04 | 17 | 6 | 35.3% | 8 | 47.1% | |
| 2007-05 | 26 | 16 | 61.5% | 5 | 19.2% | |
| 2007-06 | 19 | 12 | 63.2% | 4 | 21.1% | |
| 2007-07 | 21 | 14 | 66.7% | 1 | 4.8% | |
| 2007-08 | 72 | 23 | 31.9% | 8 | 11.1% | |
| 2007-09 | 36 | 15 | 41.7% | 2 | 5.6% | |
| 2007-10 | 11 | 5 | 45.5% | 1 | 9.1% | |
| 2007-11 | 28 | 10 | 35.7% | 5 | 17.9% | |
| 2007-12 | 18 | 7 | 38.9% | 7 | 38.9% | |
| 2008-01 | 29 | 13 | 44.8% | 5 | 17.2% | |
| 2008-02 | 24 | 9 | 37.5% | 6 | 25% | |
| 2008-03 | 19 | 11 | 57.9% | 5 | 26.3% | |
| 2008-04 | 7 | 4 | 57.1% | 1 | 14.3% | |
| 2008-05 | 22 | 11 | 50% | 8 | 36.4% | |
| 2008-06 | 12 | 7 | 58.3% | 4 | 33.3% | |
| 2008-07 | 25 | 10 | 40% | 11 | 44% | |
| 2008-08 | 28 | 16 | 57.1% | 8 | 28.6% | |
| 2008-09 | 12 | 3 | 25% | 2 | 16.7% | |
| 2008-10 | 10 | 6 | 60% | 3 | 30% | |
| 2008-11 | 34 | 14 | 41.2% | 14 | 41.2% | |
| 2008-12 | 28 | 12 | 42.9% | 11 | 39.3% | |
| 2009-01 | 41 | 24 | 58.5% | 11 | 26.8% | |
| 2009-02 | 16 | 10 | 62.5% | 6 | 37.5% | |
| 2009-03 | 13 | 4 | 30.8% | 4 | 30.8% | |
| 2009-04 | 18 | 10 | 55.6% | 7 | 38.9% | |
| 2009-05 | 8 | 6 | 75% | 1 | 12.5% | |
| 2009-06 | 5 | 3 | 60% | 0 | 0% | |
| 2009-07 | 5 | 4 | 80% | 1 | 20% | |
| 2009-08 | 29 | 8 | 27.6% | 1 | 3.4% | |
| 2009-09 | 22 | 15 | 68.2% | 6 | 27.3% | |
| 2009-10 | 12 | 6 | 50% | 3 | 25% | |
| 2009-11 | 17 | 13 | 76.5% | 2 | 11.8% | |
| 2009-12 | 26 | 8 | 30.8% | 6 | 23.1% | |
| 2010-01 | 25 | 12 | 48% | 13 | 52% | |
| 2010-02 | 17 | 6 | 35.3% | 5 | 29.4% | |
| 2010-03 | 12 | 6 | 50% | 4 | 33.3% | |
| 2010-04 | 20 | 5 | 25% | 11 | 55% | |
| 2010-05 | 25 | 12 | 48% | 10 | 40% | |
| 2010-06 | 13 | 9 | 69.2% | 3 | 23.1% | |
| 2010-07 | 21 | 11 | 52.4% | 9 | 42.9% | |
| 2010-08 | 18 | 14 | 77.8% | 4 | 22.2% | |
| 2010-09 | 21 | 12 | 57.1% | 8 | 38.1% | |
| 2010-10 | 19 | 13 | 68.4% | 5 | 26.3% | |
| 2010-11 | 10 | 3 | 30% | 3 | 30% | |
| 2010-12 | 12 | 5 | 41.7% | 4 | 33.3% | |
| 2011-01 | 16 | 8 | 50% | 6 | 37.5% | |
| 2011-02 | 14 | 7 | 50% | 5 | 35.7% | |
| 2011-03 | 16 | 8 | 50% | 4 | 25% | |
| 2011-04 | 15 | 6 | 40% | 5 | 33.3% | |
| 2011-05 | 8 | 1 | 12.5% | 3 | 37.5% | |
| 2011-06 | 8 | 4 | 50% | 3 | 37.5% | |
| 2011-07 | 5 | 3 | 60% | 1 | 20% | |
| 2011-08 | 4 | 2 | 50% | 1 | 25% | |
| 2011-09 | 13 | 4 | 30.8% | 4 | 30.8% | |
| 2011-10 | 4 | 1 | 25% | 1 | 25% | |
| 2011-11 | 6 | 4 | 66.7% | 1 | 16.7% | |
| 2011-12 | 8 | 4 | 50% | 1 | 12.5% | |
| 2012-01 | 20 | 15 | 75% | 0 | 0% | |
| 2012-02 | 13 | 6 | 46.2% | 4 | 30.8% | |
| 2012-03 | 15 | 2 | 13.3% | 3 | 20% | |
| 2012-04 | 15 | 9 | 60% | 2 | 13.3% | |
| 2012-05 | 13 | 6 | 46.2% | 2 | 15.4% | |
| 2012-06 | 11 | 5 | 45.5% | 3 | 27.3% | |
| 2012-07 | 3 | 1 | 33.3% | 1 | 33.3% | |
| 2012-08 | 17 | 10 | 58.8% | 3 | 17.6% | |
| 2012-09 | 3 | 1 | 33.3% | 1 | 33.3% | |
| 2012-10 | 3 | 1 | 33.3% | 2 | 66.7% | |
| 2012-11 | 18 | 11 | 61.1% | 3 | 16.7% | |
| 2012-12 | 12 | 4 | 33.3% | 3 | 25% | |
| 2013-01 | 3 | 1 | 33.3% | 1 | 33.3% | |
| 2013-02 | 10 | 5 | 50% | 3 | 30% | |
| 2013-03 | 11 | 8 | 72.7% | 0 | 0% | |
| 2013-04 | 6 | 3 | 50% | 1 | 16.7% | |
| 2013-05 | 8 | 4 | 50% | 2 | 25% | |
| 2013-06 | 6 | 4 | 66.7% | 0 | 0% | |
| 2013-07 | 7 | 1 | 14.3% | 1 | 14.3% | |
| 2013-08 | 42 | 17 | 40.5% | 12 | 28.6% | |
| 2013-09 | 17 | 6 | 35.3% | 8 | 47.1% | |
| 2013-10 | 36 | 16 | 44.4% | 6 | 16.7% | |
| 2013-11 | 14 | 0 | 0% | 2 | 14.3% | |
| 2013-12 | 11 | 0 | 0% | 1 | 9.1% | |
| 2014-01 | 39 | 9 | 23.1% | 7 | 17.9% | |
| 2014-02 | 48 | 20 | 41.7% | 10 | 20.8% | |
| 2014-03 | 14 | 4 | 28.6% | 4 | 28.6% | |
| 2014-04 | 8 | 0 | 0% | 1 | 12.5% | |
| 2014-05 | 19 | 0 | 0% | 1 | 5.3% | |
| 2014-06 | 17 | 0 | 0% | 2 | 11.8% | |
| 2014-07 | 11 | 0 | 0% | 3 | 27.3% | |
| 2014-08 | 2 | 0 | 0% | 0 | 0% | |
| 2014-09 | 18 | 5 | 27.8% | 5 | 27.8% | |
| 2014-10 | 8 | 3 | 37.5% | 2 | 25% | |
| 2014-11 | 5 | 2 | 40% | 2 | 40% | |
| 2014-12 | 5 | 1 | 20% | 0 | 0% | |
| 2015-01 | 5 | 3 | 60% | 1 | 20% | |
| 2015-02 | 2 | 0 | 0% | 0 | 0% | |
| 2015-03 | 2 | 0 | 0% | 0 | 0% | |
| 2015-04 | 2 | 0 | 0% | 0 | 0% | |
| 2015-05 | 2 | 0 | 0% | 1 | 50% | |
| 2015-06 | 0 | 0 | 0% | 0 | 0% | |
| 2015-07 | 1 | 0 | 0% | 1 | 100% | |
| 2015-08 | 0 | 0 | 0% | 0 | 0% | |
| 2015-09 | 3 | 0 | 0% | 0 | 0% | |
| 2015-10 | 5 | 0 | 0% | 2 | 40% | |
| 2015-11 | 2 | 0 | 0% | 0 | 0% | |
| 2015-12 | 0 | 0 | 0% | 0 | 0% | |
| 2016-01 | 0 | 0 | 0% | 0 | 0% | |
| 2016-02 | 0 | 0 | 0% | 0 | 0% | |
| 2016-03 | 3 | 0 | 0% | 0 | 0% | |
| 2016-04 | 2 | 0 | 0% | 2 | 100% | |
| 2016-05 | 0 | 0 | 0% | 0 | 0% | |
| 2016-06 | 0 | 0 | 0% | 0 | 0% | |
| 2016-07 | 0 | 0 | 0% | 0 | 0% | |
| 2016-08 | 0 | 0 | 0% | 0 | 0% | |
| 2016-09 | 0 | 0 | 0% | 0 | 0% | |
| 2016-10 | 1 | 0 | 0% | 0 | 0% | |
| 2016-11 | 1 | 0 | 0% | 0 | 0% | |
| 2016-12 | 1 | 0 | 0% | 0 | 0% | |
| 2017-01 | 3 | 0 | 0% | 2 | 66.7% | |
| 2017-02 | 2 | 0 | 0% | 0 | 0% | |
| 2017-03 | 0 | 0 | 0% | 0 | 0% | |
| 2017-04 | 1 | 0 | 0% | 0 | 0% | |
| 2017-05 | 2 | 0 | 0% | 1 | 50% | |
| 2017-06 | 0 | 0 | 0% | 0 | 0% | |
| 2017-07 | 0 | 0 | 0% | 0 | 0% | |
| 2017-08 | 1 | 0 | 0% | 1 | 100% | |
| 2017-09 | 1 | 0 | 0% | 1 | 100% | |
| 2017-10 | 17 | 8 | 47.1% | 6 | 35.3% | |
| 2017-11 | 23 | 9 | 39.1% | 11 | 47.8% | |
| 2017-12 | 21 | 7 | 33.3% | 8 | 38.1% | |
| 2018-01 | 14 | 7 | 50% | 4 | 28.6% | |
| 2018-02 | 22 | 7 | 31.8% | 7 | 31.8% | |
| 2018-03 | 24 | 11 | 45.8% | 8 | 33.3% | |
| 2018-04 | 41 | 11 | 26.8% | 15 | 36.6% | |
| 2018-05 | 30 | 7 | 23.3% | 9 | 30% | |
| 2018-06 | 10 | 3 | 30% | 1 | 10% | |
| 2018-07 | 25 | 10 | 40% | 6 | 24% | |
| 2018-08 | 20 | 14 | 70% | 3 | 15% | |
| 2018-09 | 12 | 5 | 41.7% | 2 | 16.7% | |
| 2018-10 | 35 | 15 | 42.9% | 11 | 31.4% | |
| 2018-11 | 43 | 19 | 44.2% | 8 | 18.6% | |
| 2018-12 | 10 | 4 | 40% | 3 | 30% | |
| 2019-01 | 25 | 8 | 32% | 8 | 32% | |
| 2019-02 | 5 | 3 | 60% | 1 | 20% | |
| 2019-03 | 12 | 5 | 41.7% | 3 | 25% | |
| 2019-04 | 15 | 4 | 26.7% | 4 | 26.7% | |
| 2019-05 | 11 | 5 | 45.5% | 3 | 27.3% | |
| 2019-06 | 5 | 1 | 20% | 1 | 20% | |
| 2019-07 | 6 | 2 | 33.3% | 2 | 33.3% | |
| 2019-08 | 7 | 5 | 71.4% | 2 | 28.6% | |
| 2019-09 | 4 | 1 | 25% | 1 | 25% | |
| 2019-10 | 6 | 3 | 50% | 1 | 16.7% | |
| 2019-11 | 11 | 4 | 36.4% | 5 | 45.5% | |
| 2019-12 | 16 | 9 | 56.2% | 5 | 31.2% | |
| 2020-01 | 21 | 7 | 33.3% | 9 | 42.9% | |
| 2020-02 | 8 | 2 | 25% | 3 | 37.5% | |
| 2020-03 | 28 | 15 | 53.6% | 4 | 14.3% | |
| 2020-04 | 8 | 2 | 25% | 2 | 25% | |
| 2020-05 | 15 | 8 | 53.3% | 2 | 13.3% | |
| 2020-06 | 10 | 3 | 30% | 2 | 20% | |
| 2020-07 | 13 | 6 | 46.2% | 5 | 38.5% | |
| 2020-08 | 12 | 5 | 41.7% | 2 | 16.7% | |
| 2020-09 | 14 | 6 | 42.9% | 3 | 21.4% | |
| 2020-10 | 7 | 4 | 57.1% | 1 | 14.3% | |
| 2020-11 | 9 | 4 | 44.4% | 2 | 22.2% | |
| 2020-12 | 12 | 5 | 41.7% | 1 | 8.3% | |
| 2021-01 | 13 | 5 | 38.5% | 2 | 15.4% | |
| 2021-02 | 0 | 0 | 0% | 0 | 0% | |
| 2021-03 | 8 | 4 | 50% | 2 | 25% | |
| 2021-04 | 16 | 4 | 25% | 3 | 18.8% | |
| 2021-05 | 13 | 6 | 46.2% | 3 | 23.1% | |
| 2021-06 | 10 | 5 | 50% | 3 | 30% | |
| 2021-07 | 11 | 5 | 45.5% | 3 | 27.3% | |
| 2021-08 | 14 | 6 | 42.9% | 4 | 28.6% | |
| 2021-09 | 11 | 1 | 9.1% | 5 | 45.5% | |
| 2021-10 | 6 | 4 | 66.7% | 1 | 16.7% | |
| 2021-11 | 16 | 5 | 31.2% | 5 | 31.2% |
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nips nips2003 nips2003-196 nips2003-196-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Max Welling, Andriy Mnih, Geoffrey E. Hinton
Abstract: In models that deﬁne probabilities via energies, maximum likelihood learning typically involves using Markov Chain Monte Carlo to sample from the model’s distribution. If the Markov chain is started at the data distribution, learning often works well even if the chain is only run for a few time steps [3]. But if the data distribution contains modes separated by regions of very low density, brief MCMC will not ensure that different modes have the correct relative energies because it cannot move particles from one mode to another. We show how to improve brief MCMC by allowing long-range moves that are suggested by the data distribution. If the model is approximately correct, these long-range moves have a reasonable acceptance rate.
[1] S. Becker and Y. LeCun. Improving the convergence of back-propagation learning with sec ond-order methods. In D. Touretzky, G. Hinton, and T. Sejnowski, editors, Proc. of the 1988 Connectionist Models Summer School, pages 29–37, San Mateo, 1989. Morgan Kaufman.
[2] Y. Bengio, R. Ducharme, and P. Vincent. A neural probabilistic language model. In Advances in Neural Information Processing Systems, 2001, 2001.
[3] G.E. Hinton. Training products of experts by minimizing contrastive divergence. Neural Computation, 14:1771–1800, 2002.
[4] C. Jarzynski. Targeted free energy perturbation. Technical Report LAUR-01-2157, Los Alamos National Laboratory, 2001.
[5] R.M. Neal. Probabilistic inference using markov chain monte carlo methods. Technical Report CRG-TR-93-1, University of Toronto, Computer Science, 1993.
[6] C. Sminchisescu, M.Welling, and G. Hinton. Generalized darting monte carlo. Technical report, University of Toronto, 2003. Technical Report CSRG-478.
[7] H. Tjelemeland and B.K. Hegstad. Mode jumping proposals in mcmc. Technical report, Norwegian University of Science and Technology, Trondheim, Norway, 1999. Rep. No. Statistics no.1/1999.
[8] A. Voter. A monte carlo method for determining free-energy differences and transition state theory rate constants. 82(4), 1985. 3 However, note that in cases where the modes are well separated, even Markov chains that run for an extraordinarily long time will not mix properly between those modes, and the results of this paper become relevant.


Once upon a time, in a large forest, there lived an old woman and three maidens. They were all three beautiful, but the youngest was the fairest. Their hut was quite hidden by trees, and none saw their beauty but the sun by day, and the moon by night, and the eyes of the stars. The old woman kept the girls hard at work, from morning till night, spinning gold flax into yarn, and when one distaff was empty another was given them, so they had no rest. The thread had to be fine and even, and when done was locked up in a secret chamber by the old woman, who twice or thrice every summer went a journey. Before she went she gave out work for each day of her absence, and always returned in the night, so that the girls never saw what she brought back with her, neither would she tell them whence the gold flax came, nor what it was to be used for.
Now, when the time came round for the old woman to set out on one of these journeys, she gave each maiden work for six days, with the usual warning: “Children, don’t let your eyes wander, and on no account speak to a man, for, if you do, your thread will lose its brightness, and misfortunes of all kinds will follow.” They laughed at this oft-repeated caution, saying to each other: “How can our gold thread lose its brightness, and have we any chance of speaking to a man?”
On the third day after the old woman’s departure a young prince, hunting in the forest, got separated from his companions, and completely lost. Weary of seeking his way, he flung himself down under a tree, leaving his horse to browse at will, and fell asleep.
The sun had set when he awoke and began once more to try and find his way out of the forest. At last he perceived a narrow foot-path, which he eagerly followed and found that it led him to a small hut. The maidens, who were sitting at the door of their hut for coolness, saw him approaching, and the two elder were much alarmed, for they remembered the old woman’s warning; but the youngest said: “Never before have I seen anyone like him; let me have one look.” They entreated her to come in, but, seeing that she would not, left her, and the Prince, coming up, courteously greeted the maiden, and told her he had lost his way in the forest and was both hungry and weary. She set food before him, and was so delighted with his conversation that she forgot the old woman’s caution, and lingered for hours. In the meantime the Prince’s companions sought him far and wide, but to no purpose, so they sent two messengers to tell the sad news to the King, who immediately ordered a regiment of cavalry and one of infantry to go and look for him.
After three days’ search, they found the hut. The Prince was still sitting by the door and had been so happy in the maiden’s company that the time had seemed like a single hour. Before leaving he promised to return and fetch her to his father’s court, where he would make her his bride. When he had gone, she sat down to her wheel to make up for lost time, but was dismayed to find that her thread had lost all its brightness. Her heart beat fast and she wept bitterly, for she remembered the old woman’s warning and knew not what misfortune might now befall her.
The old woman returned in the night and knew by the tarnished thread what had happened in her absence. She was furiously angry and told the maiden that she had brought down misery both on herself and on the Prince. The maiden could not rest for thinking of this. At last she could bear it no longer, and resolved to seek help from the Prince.
As a child she had learned to understand the speech of birds, and this was now of great use to her, for, seeing a raven pluming itself on a pine bough, she cried softly to it: “Dear bird, cleverest of all birds, as well as swiftest on wing, wilt thou help me?” “How can I help thee?” asked the raven. She answered: “Fly away, until thou comest to a splendid town, where stands a king’s palace; seek out the king’s son and tell him that a great misfortune has befallen me.” Then she told the raven how her thread had lost its brightness, how terribly angry the old woman was, and how she feared some great disaster. The raven promised faithfully to do her bidding, and, spreading its wings, flew away. The maiden now went home and worked hard all day at winding up the yarn her elder sisters had spun, for the old woman would let her spin no longer. Toward evening she heard the raven’s “craa, craa,” from the pine tree and eagerly hastened thither to hear the answer.
By great good fortune the raven had found a wind wizard’s son in the palace garden, who understood the speech of birds, and to him he had entrusted the message. When the Prince heard it, he was very sorrowful, and took counsel with his friends how to free the maiden. Then he said to the wind wizard’s son: “Beg the raven to fly quickly back to the maiden and tell her to be ready on the ninth night, for then will I come and fetch her away.” The wind wizard’s son did this, and the raven flew so swiftly that it reached the hut that same evening. The maiden thanked the bird heartily and went home, telling no one what she had heard.
As the ninth night drew near she became very unhappy, for she feared lest some terrible mischance should arise and ruin all. On this night she crept quietly out of the house and waited trembling at some little distance from the hut. Presently she heard the muffled tramp of horses, and soon the armed troop appeared, led by the Prince, who had prudently marked all the trees beforehand, in order to know the way. When he saw the maiden he sprang from his horse, lifted her into the saddle, and then, mounting behind, rode homeward. The moon shone so brightly that they had no difficulty in seeing the marked trees.
By and by the coming of dawn loosened the tongues of all the birds, and, had the Prince only known what they were saying, or the maiden been listening, they might have been spared much sorrow, but they were thinking only of each other, and when they came out of the forest the sun was high in the heavens.
Next morning, when the youngest girl did not come to her work, the old woman asked where she was. The sisters pretended not to know, but the old woman easily guessed what had happened, and, as she was in reality a wicked witch, determined to punish the fugitives. Accordingly, she collected nine different kinds of enchanters’ nightshade, added some salt, which she first bewitched, and, doing all up in a cloth into the shape of a fluffy ball, sent it after them on the wings of the wind, saying:
At midday the Prince and his men came to a deep river, spanned by so narrow a bridge that only one rider could cross at a time. The horse on which the Prince and the maiden were riding had just reached the middle when the magic ball flew by. The horse in its fright suddenly reared, and before anyone could stop it flung the maiden into the swift current below. The Prince tried to jump in after her, but his men held him back, and in spite of his struggles led him home, where for six weeks he shut himself up in a secret chamber, and would neither eat nor drink, so great was his grief. At last he became so ill his life was despaired of, and in great alarm the King caused all the wizards of his country to be summoned. But none could cure him. At last the wind wizard’s son said to the King: “Send for the old wizard from Finland he knows more than all the wizards of your kingdom put together.” A messenger was at once sent to Finland, and a week later the old wizard himself arrived on the wings of the wind. “Honored King,” said the wizard, “the wind has blown this illness upon your son, and a magic ball has snatched away his beloved. This it is which makes him grieve so constantly. Let the wind blow upon him that it may blow away his sorrow.” Then the King made his son go out into the wind, and he gradually recovered and told his father all. “Forget the maiden,” said the King, “and take another bride”; but the Prince said he could never love another.
A year afterward he came suddenly upon the bridge where his beloved met her death. As he recalled the misfortune he wept bitterly, and would have given all he possessed to have her once more alive. In the midst of his grief he thought he heard a voice singing, and looked round, but could see no one. Then he heard the voice again, and it said:
“Alas! bewitched and all forsaken, ‘Tis I must lie for ever here! My beloved no thought has taken To free his bride, that was so dear.”
He was greatly astonished, sprang from his horse, and looked everywhere to see if no one were hidden under the bridge; but no one was there. Then he noticed a yellow water-lily floating on the surface of the water, half hidden by its broad leaves; but flowers do not sing, and in great surprise he waited, hoping to hear more. Then again the voice sang:
The Prince suddenly remembered the gold-spinners, and said to himself: “If I ride thither, who knows but that they could explain this to me?” He at once rode to the hut, and found the two maidens at the fountain. He told them what had befallen their sister the year before, and how he had twice heard a strange song, but yet could see no singer. They said that the yellow water-lily could be none other than their sister, who was not dead, but transformed by the magic ball. Before he went to bed, the eldest made a cake of magic herbs, which she gave him to eat. In the night he dreamed that he was living in the forest and could understand all that the birds said to each other. Next morning he told this to the maidens, and they said that the charmed cake had caused it, and advised him to listen well to the birds, and see what they could tell him, and when he had recovered his bride they begged him to return and deliver them from their wretched bondage.
Having promised this, he joyfully returned home, and as he was riding through the forest he could perfectly understand all that the birds said.  It is now quite a year since the maiden was transformed into a water-lily, and, though she sings so sadly that anyone going over the bridge must hear her, yet no one comes to her aid. Her former bridegroom rode over it a few days ago and heard her singing, but was no wiser than the rest.”
“And he is to blame for all her misfortunes,” added the magpie. “If he heeds only the words of men she will remain a flower for ever. She were soon delivered were the matter only laid before the old wizard of Finland.”
After hearing this, the Prince wondered how he could get a message conveyed to Finland. He heard one swallow say to another: “Come, let us fly to Finland; we can build better nests there.”
“Stop, kind friends!” cried the Prince. “Will you do something for me?” The birds consented, and he said: “Take a thousand greetings from me to the wizard of Finland, and ask him how I may restore a maiden transformed into a flower to her own form.”
The swallows flew away, and the Prince rode on to the bridge. There he waited, hoping to hear the song. But he heard nothing but the rushing of the water and the moaning of the wind, and, disappointed, rode home.
Shortly after, he was sitting in the garden, thinking that the swallows must have forgotten his message, when he saw an eagle flying above him. The bird gradually descended until it perched on a tree close to the Prince and said: “The wizard of Finland greets thee and bids me say that thou mayest free the maiden thus: Go to the river and smear thyself all over with mud; then say: ‘From a man into a crab,’ and thou wilt become a crab. Plunge boldly into the water, swim as close as thou canst to the water-lily’s roots, and loosen them from the mud and reeds. This done, fasten thy claws into the roots and rise with them to the surface. Let the water flow all over the flower, and drift with the current until thou comest to a mountain ash tree on the left bank. There is near it a large stone. Stop there and say: ‘From a crab into a man, from a water-lily into a maiden,’ and ye both will be restored to your own forms.”
Full of doubt and fear, the Prince let some time pass before he was bold enough to attempt to rescue the maiden. Then a crow said to him: “Why dost thou hesitate? The old wizard has not told thee wrong, neither have the birds deceived thee; hasten and dry the maiden’s tears.”
“Nothing worse than death can befall me,” thought the Prince, “and death is better than endless sorrow.” So he mounted his horse and went to the bridge. Again he heard the water-lily’s lament, and, hesitating no longer, smeared himself all over with mud, and, saying: “From a man into a crab,” plunged into the river. For one moment the water hissed in his ears, and then all was silent. He swam up to the plant and began to loosen its roots, but so firmly were they fixed in the mud and reeds that this took him a long time. He then grasped them and rose to the surface, letting the water flow over the flower. The current carried them down the stream, but nowhere could he see the mountain ash. At last he saw it, and close by the large stone. Here he stopped and said: “From a crab into a man, from a water-lily into a maiden,” and to his delight found himself once more a prince, and the maiden was by his side. She was ten times more beautiful than before, and wore a magnificent pale yellow robe, sparkling with jewels. She thanked him for having freed her from the cruel witch’s power, and willingly consented to marry him.
But when they came to the bridge where he had left his horse it was nowhere to be seen, for, though the Prince thought he had been a crab only a few hours, he had in reality been under the water for more than ten days. While they were wondering how they should reach his father’s court, they saw a splendid coach driven by six gaily caparisoned horses coming along the bank. In this they drove to the palace. The King and Queen were at church, weeping for their son, whom they had long mourned for dead. Great was their delight and astonishment when the Prince entered, leading the beautiful maiden by the hand. The wedding was at once celebrated and there was feasting and merry-making throughout the kingdom for six weeks.
Some time afterward the Prince and his bride were sitting in the garden, when a crow said to them: “Ungrateful creatures!  Must they spin gold flax for ever? Have no pity on the old witch. The three maidens are princesses, whom she stole away when they were children together, with all the silver utensils, which she turned into gold flax. Poison were her fittest punishment.”
The Prince was ashamed of having forgotten his promise and set out at once, and by great good fortune reached the hut when the old woman was away. The maidens had dreamed that he was coming, and were ready to go with him, but first they made a cake in which they put poison, and left it on a table where the old woman was likely to see it when she returned. She did see it, and thought it looked so tempting that she greedily ate it up and at once died.
In the secret chamber were found fifty wagon-loads of gold flax, and as much more was discovered buried. The hut was razed to the ground, and the Prince and his bride and her two sisters lived happily ever after.


Hardworking, methodical second year Coding student who is able to push through problems to find a solution and able to talk and get along with various different people. Seeking the position of Web Developer.
Complex Problem Solving — Identify complex problems and review related information to develop and evaluate
options
and implement solutions.
Critical Thinking — Use logic and reasoning to identify the strengths and weaknesses of alternative solutions,
conclusions or approaches to problems.
Active Listening — Give full attention to what other people are saying, take time to understand the points being
made, ask questions as appropriate, and not interrupting at inappropriate times.
Judgment and Decision Making — Consider the relative costs and benefits of potential actions to choose the most
appropriate one.
Reading Comprehension — Understand written sentences and paragraphs in work related documents.
Centennial High School, Peoria, AZ
Expected Grad Date: May 2020
West-MEC Coding Program
GPA: 3.5
Relevant Coursework: Computer Programming and Tech,
Game Design and Development,
AP Computer Science A.
AP Computer Science Principles H.
Uncle Sam's, Peoria, AZ
7/2018 - 11/2018
Busser
Responsibilities include: Clean tables, wash dishes, put away clean dishes/glasses, fill ice coolers.


`Any` contains an arbitrary serialized protocol buffer message along with a URL that describes the type of the serialized message.
Protobuf library provides support to pack/unpack Any values in the form of utility functions or additional generated methods of the Any type.
Example 1: Pack and unpack a message in C++.
Foo foo = ...; Any any; any.PackFrom(foo); ... if (any.UnpackTo(&foo)) { ... }
Example 2: Pack and unpack a message in Java.
Foo foo = ...; Any any = Any.pack(foo); ... if (any.is(Foo.class)) { foo = any.unpack(Foo.class); } Example 3: Pack and unpack a message in Python. foo = Foo(...) any = Any() any.Pack(foo) ... if any.Is(Foo.DESCRIPTOR): any.Unpack(foo) ... Example 4: Pack and unpack a message in Go foo := &pb.Foo{...} any, err := ptypes.MarshalAny(foo) ... foo := &pb.Foo{} if err := ptypes.UnmarshalAny(any, foo); err != nil { ... }
The pack methods provided by protobuf library will by default use 'type.googleapis.com/full.type.name' as the type URL and the unpack methods only use the fully qualified type name after the last '/' in the type URL, for example "foo.bar.com/x/y.z" will yield type name "y.z".
JSON ==== The JSON representation of an `Any` value uses the regular representation of the deserialized, embedded message, with an additional field `@type` which contains the type URL. Example:
package google.profile; message Person { string first_name = 1; string last_name = 2; } { "@type": "type.googleapis.com/google.profile.Person", "firstName": <string>, "lastName": <string> }
If the embedded message type is well-known and has a custom JSON representation, that representation will be embedded adding a field `value` which holds the custom JSON in addition to the `@type` field. Example (for message [google.protobuf.Duration][]):
{ "@type": "type.googleapis.com/google.protobuf.Duration", "value": "1.212s" }
type Any struct { // A URL/resource name that uniquely identifies the type of the serialized // protocol buffer message. The last segment of the URL's path must represent // the fully qualified name of the type (as in // `path/google.protobuf.Duration`). The name should be in a canonical form // (e.g., leading "." is not accepted). // // In practice, teams usually precompile into the binary all types that they // expect it to use in the context of Any. However, for URLs which use the // scheme `http`, `https`, or no scheme, one can optionally set up a type // server that maps type URLs to message definitions as follows: // // * If no scheme is provided, `https` is assumed. // * An HTTP GET on the URL must yield a [google.protobuf.Type][] // value in binary format, or produce an error. // * Applications are allowed to cache lookup results based on the // URL, or have them precompiled into a binary to avoid any // lookup. Therefore, binary compatibility needs to be preserved // on changes to types. (Use versioned type names to manage // breaking changes.) // // Note: this functionality is not currently available in the official // protobuf release, and it is not used for type URLs beginning with // type.googleapis.com. // // Schemes other than `http`, `https` (or the empty scheme) might be // used with implementation specific semantics. // TypeUrl string `protobuf:"bytes,1,opt,name=type_url,json=typeUrl,proto3" json:"type_url,omitempty"` // Must be a valid serialized protocol buffer of the above specified type. Value []byte `protobuf:"bytes,2,opt,name=value,proto3" json:"value,omitempty"` XXX_NoUnkeyedLiteral struct{} `json:"-"` XXX_unrecognized []byte `json:"-"` XXX_sizecache int32 `json:"-"` }
func (*Any) Descriptor() ([]byte, []int)
func (m *Any) GetTypeUrl() string
func (m *Any) GetValue() []byte
func (*Any) ProtoMessage()
func (m *Any) Reset()
func (m *Any) String() string
func (m *Any) XXX_DiscardUnknown()
func (m *Any) XXX_Marshal(b []byte, deterministic bool) ([]byte, error)
func (m *Any) XXX_Merge(src proto.Message)
func (m *Any) XXX_Size() int
func (m *Any) XXX_Unmarshal(b []byte) error
func (*Any) XXX_WellKnownType() string


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Peganum Harmala, Banisteriopsis Caapi, Argyreia Nervosa, Mimosa Hostilis, Psychotria Viridis, & Mushrooms
Day 1:
I ground 5grms of Peganum Harmala seeds, 10 Baby Hawaiian Woodrose seeds, & approx. 25cm of Cielo Banisteriopsis Caapi vine bark into powder. I then added 5000mlgrms of viatamin C & boiled in a non-aluminun pot(aluminun does not react well with ayahuasca)for approx. 7 hrs. The liquid was first strained through a fine metal screen, & then through a coffee filter. I set the liquid aside, & re-boiled the leftovers for an additional 2 hrs. The same straining proceedure was followed, & the liquids were combined. I then boiled the combined liquids until it reached a volume of approx. 1/2cup. This was then refrigerated.
Day 2:
I ground 17grms of Mimosa Hostilis root bark into powder. I then minced 60 dried Psychotria Viridis leaves & 13 fresh Psilocybe Cubensis mushroom caps. All materials were placed into a relatively larger non-aluminum pot, with the addition of 5000mlgrms more of viatamin C. This was then boiled for roughly the same amount of time as the brew from Day 1...the same straining & re-boiling methods were followed as well. The liquids were then combined & boiled down to a volume of approx. 1cup. This also was refrigerated.
Day 3:
I fasted all day, as well as the 2 previous preparation days. I spent my waking hrs. reading & meditating through the creation of music on various insturments. When the feeling came upon me to ingest the forbidden liquids, it was already 9:00pm. I decided that such a combination of psycho-active plants was'nt anything to toy with, so I gathered up the manditory tools for a long night in the woods.(tent,water,cannabis,etc.) Before I left for my journey, I drank the extemely bitter MOAI/LSA tea. I figured that by the time I reached my destination, the effects would have begun to take hold.
Half way into the thorn infested woods of the Natchez Trace, I began to feel nauseating, yet calming air of the brew. By the time I reached a spot in which I was happy with, about 30 min. had passed. I now felt that it was time to start out on the true journey, for which I had waited so long.
About 30 min. later, the brew was beginning to taint my existance with CEV's, & before I knew it, vomit was upon me. I ventured off a good 30 ft. for the hacking in order to avoid smelling, stepping in, or interaction in any way with the fowl mess. The release of the brews was extremely satisfying & welcomed...I'm always game for a good puke session.
After the vomiting, I smoked a few bowls of cannabis, & then everything was different. Within the next 20 min., all recollection myself, & the past events were gone. I was'nt able to see trees or plants any longer. Everything took on a new shape. There were even walls of patterns & light that appeared in front of me.(keep in mind that this was all open eye)There were images of life, light,& sound EVERYWHERE, but I was'nt able progress toward them. Every time I attempted get closer, the walls & beings would keep their same distance. I was able to hear 2 different dialogues - one of which I was able to understand, but the other was a combination of sounds so unlike anything I had ever heard that I almost want to say that it was'nt a voice at all, but the patternized walls making making visual sylables.
I had thousands of rational thoughts going on, with which I was explaining to myself what was happening in front of me, but none of them make very much sense to me now.
After I came to the realization that a human was'nt able to move about through this dimention, I laid down on the bare ground, closed my eyes, & was then able to watch the walls unfold before me. A great feeling energy came over me once I understood that to exist here, you don't need a phisical self, only the idea of one.
I must have wandered through those walls for an eternity...I was even able to make them shift & re-shape upon will. The entire time that this was going on, the ever-so-loud dialogue in which I understood was assuring me that this place would exist forever, & that I would meet with it much more in the future. This calmed me to no extent.
After lying on the ground in a timeless state, I regained the knowledge of where my physical self was, I realized that the multiple eternities in which I just experienced was only 5 hrs.!
I spent the rest of the night reflecting on EVERYTHING...not just my hallucinogenic state, but everything that ever happened to everyone. I felt as if all knowledge was handed to me for a short period of time, & it I felt very rewarded.
While reflecting, I did my best on setting up my tent, & building a fire. I sat smoking cannabis & watching the fire from my tent until morning - all of the time sorting through the overwhelming amount of knowledge I was given...or should I say loaned.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Here you can make a wished rate for win. Player who confirmed your rate automatically confirmed your request. If you win you will earn double rate.
Also you can check the players who already made their rates and waiting for battle. You need just open the menu item.
Just click on player nickname and batlle will start. But if you have not enough items in inventory or player will cancelled the request batlle will not start.


The name of the mappool.
Select the Best of # so that the mappickers will know how many maps they have to pick so that the mappool won't deplete during a match.


Welcome back to back&forth! It's great to see you again!
Let's go for a walk!

Jump on a foreign brum and go to the adventure
Take other people on your brum, it's a lot more fun!


curl -sS https://getcomposer.org/installer | php
mv composer.phar /usr/local/bin/composer
composer config -g repo.packagist composer https://packagist.phpcomposer.com
composer create-project topthink/think domain_name --prefer-dist
更新项目：composer update
验证码：composer require topthink/think-captcha
图片处理：composer require topthink/think-image
单元测试：composer require topthink/think-testing


Or give us a call:
(770) 733-9713Just contact Better Way Atlanta Realty and one of our licensed realtors will help you get your home listed on the MLS for just $500. We‘ll even send someone out to take pictures of your home to show with your listing.
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 That means you keep an extra $3,000 for every $100,000 the buyer pays for your home.
List your home with Better Way Atlanta for a flat fee of $500 and receive full service real estate.
Once you have closed on both properties, we will issue you a check of $500 to refund the cost of your selling your current home!
If you have any questions or want to talk to someone in person, we make it easy to reach one of our agents:
Phone
(770) 733-9713
Fax
(678) 403-8153
dan@bwarealty.com


load and release an application, check your system memory usage before and after the click, it is expected if browser does not respond for a while.
load app
release app


TRMS
Tuition Reimbursement Management System
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