Ontology: BaseOntology.txt
Comment: Base Ontology.
The base vocabulary includes:
order, order item, bill-of-material, material, part, assembly,
container, person, worker, employee, organization, roles,
measure, metric, money, cost, price, account,
resource, resource-pool, inventory,
and more.
Q: Should the base-ontology include nouns related to agents? (Dispatcher, Bookkeeper, Dialog, Scribe)
A: Perhaps those vocabularies belong in a separate (boot-strap) ontology.
Context: " Bookkeeping operations" pattern: " Credit [credit-account] debit [debit-account] with [measure] in [journal-name]."
U: Credit [credit-account] debit [debit-account] with [measure] in [journal-name].
S: Ok.
Bookkeeper
:
Credit credit-account debit debit-account with measure in journal-name.
Context: " Ledger setup" pattern: " Create new account."
U: Create new account.
S: Ok.
New account.
Ask Account-Spec.
Dictionary: Basic Accounting.
Account attributes include account-type, name, metric.
Account-type categories include expense, revenue, asset, liability, resource.
I forget. Is an account associated with a specific journal?
Account subtypes include expense-account, revenue-account, asset-account, liability-account.
Account subtypes include credit-account, debit-account.
Temp fix to make noun matching work.
Money subtypes include expense, revenue, asset, liability.
Journal-entry attributes include journal-name, measure, credit-account-name, debit-account-name.
Ledger-entry attributes include ledger-name, measure, ledger-account-name, ledger-account-name.
Journal attributes include journal-name.
Ledger attributes include ledger-name.
Dictionary: Data types. (These are all primitive types in Hum. The description here is informational.)
Data-type categories include measure, string, text, date, date-time, time-stamp, identifier, entity, attribute, category.
In real-world, all numbers are measures.
See Measure vocabulary below.
Text is formatted using some markup notation. Hum markup may be assumed.
Text is a string.
Text attributes include markup.
String attributes include character-list.
Character attributes include id, glyph.
code
Two-digit-string subtypes include mm, dd, hour, minute, second.
two digits with a leading zero
Date attributes include mm, dd, year, day-of-week, month.
Julian calendar
Month subtypes include January, February, March, April, May, June, July, August, September, October, November, December.
Month attributes include name, mm, abbreviation, quarter.
Day-of-week subtypes include Sunday, Monday, Tuesday, Wednesday, Thursday, Friday, Saturday.
Day-of-week attributes include name, abbreviation, day-types.
Day-type categories include weekday, weekend, holiday.
Date-time attributes include date, time-of-day.
Time-of-day attributes include hour, minute, second.
Time-stamp attributes include date-time, event.
Event attributes include event-id.
Identifier is a string.
Identifiers are generated by a process that assures they are unique within a world-base
Entity attributes include name, attributes.
Attribute attributes include name, data-type.
Category attributes include name, category-values.
Category-value is a string.
Is the value a noun or adjective or what?
Dictionary: Dialog vocabulary.
Context attributes include context-name, vignettes.
Vignette attributes include patterns, response-lines.
Dictionary: Measures and Metrics.
Measure attributes include quantity, metric, precision.
Metric categories include meter, liter, milliliter, pound, gram, kilogram, millimeter, centimeter, ounce, fluid-ounce, cubic-centimeter.
cc is abbreviation for cubic-centimeter.
ml is abbreviation for milliliter.
oz is abbreviation for ounce.
lb is abbreviation for pound.
kg is abbreviation for kilogram.
cm is abbreviation for centimeter.
We cannot use mm because it is an attribute of date.
Quantity is a number.
Precision is a number.
Observation attributes include name, date-time, location, observed-item, measures.
Money is a measure.
Money attributes include currency.
Money subtypes include cost, price.
Currency categories include US-dollar, Canadian-dollar, British-pound, Euro.
Dictionary: Method, Procedure.
Method attributes include principle-deliverable, description, inputs, step-list, advice.
Input attributes include input-type, name, measure.
Input-type categories include consumable, rentable.
Consumable categories include material-consumable, energy, part-consumable.
Rentable categories include skill, equipment, work-space.
A well-defined method has a single deliverable. There may be side-products or side-effects, but just one deliverable.
Method subtypes include recipe, procedure.
Deliverable is a product.
See product subtypes above.
Step attributes include step-number, description, step-procedure, sub-product.
RECURSIVE
Dictionary: Order vocabulary.
Order attributes include order-date, buyer, buyer-account, provider, delivery-address, order-items, grand-total.
Grand-total is a money.
Order-item attributes include product, quantity-measure, unit-price, subtotal.
Dictionary: Party vocabulary.
Party attributes include name, postal-address, contact-channels, representative.
Person is a party.
Person attributes include first-name, last-name, family-name.
Worker is a person.
Employee is a worker.
Organization is a party.
Representative is a person.
Dictionary: Product, Service, Part.
Product attributes include name, metric.
Product subtypes include part, material, service.
Part attributes include name, description, standard-cost, standard-price.
Assembly is a part.
Assembly attributes include bill-of-material-table, method.
bill-of-material and method probably overlap
Material attributes include name, description, unit-of-measure.
Product-package attributes include product, package-unit-of-measure.
Bill-of-material-table attributes include bill-of-material-lines.
Bill-of-material-line attributes include part, quantity.
Dictionary: Resources.
Resource-pool attributes include name, resource-type, location, resources.
Resource-type categories include skill, material, product.
Inventory is a resource-pool.
Inventory attributes include resource-pools.
one or more sub-inventory
Dictionary: Role vocabulary.
Role attributes include name, process.
Assignment attributes include role, party.
Party assigned to role
Dictionary: View vocabulary.
View attributes include view-name, associated-entity.
Role: Bookkeeper -- Add measure to account.
Role:
Bookkeeper.
Action:
Add measure to account.
Role: Bookkeeper -- Create account-type named name with initial value measure.
Role:
Bookkeeper.
Action:
Create account-type named name with initial value measure.
(How will the blackboard and/or world-base know this is a new instance of account?)
(Normally new instances are created via DialogAgent invoked by {New entity-type}.)
(The assumption is that the user-interface platform will provide the needed create/update logic.)
Role: Bookkeeper -- Credit credit-account debit debit-account with measure in journal-name.
Role:
Bookkeeper.
Action:
Credit credit-account debit debit-account with measure in journal-name.
(How does this transaction get associated with a business event?)
(TODO: Rewrite Bookkeeper so that transactions are associated with business events.)
Credit credit-account debit debit-account with measure.
Role: Bookkeeper -- Credit credit-account debit debit-account with measure.
Role:
Bookkeeper.
Action:
Credit credit-account debit debit-account with measure.
Add measure to credit-account.
Subtract measure from debit-account.
Role: Bookkeeper -- Subtract measure from account.
Role:
Bookkeeper.
Action:
Subtract measure from account.
Role: DialogAgent -- Ask view.
Role:
DialogAgent.
Action:
Ask view.
(A view is identified by its name.)
Role: DialogAgent -- New entity.
Role:
DialogAgent.
Action:
New entity.
(Create a new instance of given entity-type.)
Role: DialogAgent -- Push context context-name.
Role:
DialogAgent.
Action:
Push context context-name.
(Push context-name onto the context stack.)
Role: DialogAgent -- Show view.
Role:
DialogAgent.
Action:
Show view.
(Show the view in read-only mode.)
View: Account-Spec.


--- layout: post status: publish published: true title: Podcast 3.58 - 2012 Cubs Convention and Cubs Caravan author: display_name: Corey Fineran login: Corey email<EMAIL_ADDRESS>url: '' author_login: Corey author_email<EMAIL_ADDRESS>wordpress_id: 6602 wordpress_url: http://ivyenvy.com/?p=6602 date: '2012-01-17 18:56:33 +0000' date_gmt: '2012-01-18 00:56:33 +0000' categories: - Podcast - Events tags: - Kerry Wood - Podcast - Cubs Convention - Cubs Caravan - Cubs Caravan 2012 - Cubs Convention 2012 - Right Field LED Display comments: [] ---
On this episode, Jeremy joins Andy and Corey via Skype. Corey talks about the Cubs Caravan stop in Peoria on Thursday, January 12th. Jeremy then shares his experiences at Cubs Convention.
The Cubs take a step into the modern baseball era that traditionalist Cubs fans are not happy to see. A 75 foot LED display and standing-room-only patio will now occupy the area above the right-field well. Also, the Cubs bring back Kerry Wood, who is quickly becoming a Cubs legend, not so much for just what he did on the field, but because of his dedication to the city, the organization and the fans.
We discuss these two topics and read the entries for this week's photo caption contest.


Admission Number
Admission Date
First Name
Middle Name
Last Name
Class
Stream
Date of Birth
Gender
Religion
Nationality


Paul S. Scotti, Arman Kulkarni, Matan Mazor, Eduard Klapwijk, Tal Yarkoni, & Alexander Huth
EduCortex is an educational browser-based visualization tool that allows the user to enter any functional or anatomical term (e.g., “visual”, “face”, “precuneus”) and visualize the parts of the brain that are most associated with that term. The process can also be reversed, where the user can click anywhere on the brain to see what terms are most associated with the selected brain region. Using principal components analysis, we also display the functional terms that explained the most variance across all activation maps. This tool works through the combination of Neurosynth, a large-scale, automated database of fMRI papers, and PyCortex, an interactive 3D brain visualizer. This tool was mostly made over the course of 1 week during NeuroHackademy 2019.


Charlotte Flair warns the NXT roster ahead of WWE Survivor Series
by Arunava GhoshalThis week's WWE RAW kicked off with a tag team match between The IIconics and Becky Lynch and Charlotte Flair. As soon as The Man and The Queen picked up the win over the former WWE Women's Tag Team Champions, NXT's Shayna Baszler, Marina Shafir and Jessamyn Duke showed up and attempted to take them out. Unfortunately, they couldn't get the job done and had to retreat for the night.
Charlotte Flair's comment on the invasion
Charlotte Flair, who is the captain of the women's team for RAW, was interviewed backstage following the NXT invasion and The Queen sent out a loud and clear message for the NXT Superstars.
So I'm NXT homegrown. I'm from NXT, I was a former NXT Women's Champion. I know what it's like to be at NXT and wanna come to RAW and SmackDown and make a name for yourself and takeover, have that eagerness.
Under the captaincy of Charlotte Flair, Natalya, Sarah Logan, Asuka and Kairi Sane are set to represent RAW at Survivor Series where they battle Team NXT and Team SmackDown.
It will be interesting to see whether The Queen lives up to her words at the event or the Black-and-Gold brand shocks the WWE Universe and emerges as the victor.
Want us to know your thoughts on the matches that you see on TV? Go to our WWE section to rate and comment about them!


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{% extends 'lecture/base.html' %} {% block title %}Profile{% endblock %} {% load staticfiles %} {% block sidebar %}
{% endblock %} {% block page-wrap %}contributions
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I am an expert in Web Mining, E-Learning & Software Engineering. I'm full-stack developer with 7 years of working experience.


Before Change
answer.add(Dropout(0.3))
answer.add(Dense(vocab_size))
// we output a probability distribution over the vocabulary
answer.add(Activation("softmax"))
answer.compile(optimizer="rmsprop", loss="categorical_crossentropy",
metrics=["accuracy"])
// Note: you could use a Graph model to avoid repeat the input twice
After Change
// compute a "match" between the first input vector sequence
// and the question vector sequence
match = dot([input_encoded_m, question_encoded], axes=(2, 2)) // (samples, story_maxlen, query_maxlen)
match = Activation("softmax")(match)
// add the match matrix with the second input vector sequence
response = add([match, input_encoded_c]) // (samples, story_maxlen, query_maxlen)
response = Permute((2, 1))(response) // (samples, query_maxlen, story_maxlen)
// concatenate the match matrix with the question vector sequence
answer = concatenate([response, question_encoded])
// the original paper uses a matrix multiplication for this reduction step.
// we choose to use a RNN instead.
answer = LSTM(32)(answer) // (samples, 32)
// one regularization layer -- more would probably be needed.
answer = Dropout(0.3)(answer)
answer = Dense(vocab_size)(answer) // (samples, vocab_size)
// we output a probability distribution over the vocabulary
answer = Activation("softmax")(answer)
// build the final model
model = Model([input_sequence, question], answer)
model.compile(optimizer="rmsprop", loss="categorical_crossentropy",


Hello,
Please find the attachment for transfer order ({reference_number}) details.
Best regards, {site_name}


Just type in your query. Check out our operators for custom agents.
We will sail over a new tab for you to pilot from there. Bon Voyage!


CE316 & CE866 |
CE866 Laboratory: Assignment 1IntroductionYou will recall the discussion in the lecture notes of cbir, a program that performs content-based image retrieval. You will also remember that lectures discussed how vision algorithms are evaluated and compared. This assignment brings these two topics together: you are required to write a content-based image retrieval program of your own (not using exactly the same algorithm as the program in the notes) and compare its performance with that of cbir. These two stages in the assignment are described in more detail below. Content-based image retrievalThe cbir program in the notes calculates the histogram of each image (i.e., there is one histogram, even if the image is a colour one). You are free to use any other viable algorithm that you can conceive — the purpose of the assignment is not to out-perform cbir, simply to have an alternative algorithm that you can compare with it. If you really cannot think of an algorithm to use, speak to a demonstrator who will suggest one. Having chosen an algorithm, you are required to write a program that operates in the same way as cbir: your program must take a number of image filenames on its command line, the first of which is the "probe image" that you are trying to find in the other images supplied on the command line. Your program should generate precisely one line of output, the name of the image that best matches the probe image. Your program must explicitly ignore the case when the test image has the same name as the probe image — if you seem to be getting perfect results, you have probably forgotten to do this. For inspiration, the cbir program discussed in lectures is presented in the lecture notes. You may implement your program in any of C, C++ or Python, and it must use the OpenCV library. You are free to use any OpenCV routines in your program.
Your software must build and run under Linux on the machines in Computer Lab 1. Comparing and assessing algorithmsThe principles of evaluating a single algorithm and comparing the performances of several algorithms is described in the lecture notes. It is not especially difficult to perform this kind of thing by hand — but it is very tedious. For this reason, evaluations are usually performed using programs known as test harnesses. For the second part of the assignment, you will use a test harness and some image files to evaluate mycbir and compare its performance with cbir. The particular test harness you will use is FACT ("Framework for Algorithm Comparison and Testing"). You need to download FACT and the relevant data files. FACT separates the stages of executing a program on a series of tests and analyzing the results. This is because the execution stage is normally much slower than the analysis one and, as we shall see, there are several analyses that one might like to perform. The execution stage produces a transcript file, and all the analysis stages use transcript files as input. The file ass1.fact contains the tests that are to be executed; it is human-readable and you are welcome to look at it. You should be able to run the test on mycbir using the command ./fact execute ass1The execute tells FACT to run the program on the test script ass1.fact and output a transcript; you can use run rather than execute if you prefer. (Note that FACT uses the file interface.py as an interface to the program being tested.) When you execute the above command, FACT will write output to your terminal window. The first line contains some identification information, used for checking in the analysis stages, followed by a single line per test. These lines are actually the transcript. To create a transcript file, you simply use command-line redirection to make these lines go to a file ./fact execute ass1 > mycbir.resand twiddle your thumbs while it runs. Having generated the transcript, the next stage is to analyze it, either in isolation or by comparing it with other algorithms. Analysing the transcript file is both quick and easy: ./fact analyse mycbir.resRather than analyse, you can write analyze or anal. If the name of the file that you wish to analyse ends in .res, you can omit it. The results of the analysis are written to your terminal window; you can use re-direction to save it in a file. You will see that the output contains two distinct tables, one summarising error rates etc. and the other a confusion matrix, which shows how false positives occur. FACT can generate HTML rather than plain text: ./fact --format=html --detail=2 -H -T analyse mycbir.res > mycbir.htmlwhich you may find easier to read. Your next step is to compare the performance of your program, mycbir, with the cbir program demonstrated in lectures. The transcript file from cbir, called cbir.res, is part of the assignment distribution that you downloaded above, and you should have generated mycbir.res above. You perform the comparison using the command ./fact compare mycbir.res cbir.resAgain, you can get more detail by appending --detail=2 to the command. Having assessed the performance of mycbir in isolation and compared it with that of cbir, you should insert the FACT outputs into the comments at the top of your program and explain what they mean. This interpretation of the numerical results is an important part of the assignment. When you upload your submission, remember to upload the transcript file from your algorithm too. Summary
Remember to identify you work with your registration number only. The coursework system allows you to upload your work as often as you like, so do keep uploading your files as you develop them. |
| Last updated on 2015-10-21 10:58:46 | Web pages maintained by Adrian F. Clark [contact] |


Eventually Consistent
A highly sporadic technical blog about the things I find interesting and want to gradually store in my brain. About me
Python Packaging Disambiguated
I’m going to talk about something really boring. That thing is packaging and distributing Python code.
Motivation
I have been programming primarily in Python for about 3.5 years now, happily creating virtualenvs and pip installing things - and sometimes yak shaving non-Python dependencies of those libraries - without any idea how python code is packaged and distributed. And then, one day I had to share a library my team had written with another team, and lo and behold, I wrote my first requirements.txt file. I was inspired to peek under the hood.
It turns out some people think that Python packaging is sucky. For most of my purposes - working on small pet projects or in fully isolated development environments maintained by another engineer, this works fine. The problem is that the ONLY thing that Python tries to encapsulate is Python code - not dependencies, not environment variables, etc. There is some more exposition about that from other people if you’re interested: example.
The biggest hurdle to getting started was understanding the lingo.
Important terms
The PyPI (Python Package Index), previously known as the Cheese Shop, has a glossary with everything that you might want to know. Here are the ones I was previously confused about:
module
- In Python, a single .py file is a module. This means that Python can be organized without classes quite nicely. You can put some methods and constants into a file and tada, a logically isolated bit of code.package
- A collection of modules. The tricky thing is that it can either be animport package
, which is module that contains other modules that you canimport
, or adistribution package
, described bydistribution
below. In colloquial usage it seems to mean “a collection of Python code published as a unit”.distribution
- An archive with a version and all kinds of files necessary to make the code run. This term tends to be avoided in the Python community to prevent confusion with Linux distros or larger software projects. Many distributions arebinary
orbuilt
, shortened tobdist
, and are binary, platform-specific, and python-version specific.sdist
orsource
distributions are made up only of source files and various other data files you would need. As you might expect, they must be built before they are run.egg
- A built packaging format of Python files with some metadata, introduced by thesetuptools
library, but gradually being phased out. It can be put direcly on the PYTHONPATH without unpacking, which is kind of nice.wheel
- The new version of the egg. It has many purported benefits, like being more implementaton-agnosticmm and faster than building from source. More info. About two thirds of the most popular Python packages are now wheels on PyPI rather than eggs. Citation.
I also found it mildly interesting to figure out how this somewhat fractured environment came to me.
A brief history
There is a chapter of The Architecture of Open Source dedicated to nitty gritty of python packaging. The CliffNotes version is that there was some turbulence over Python’s packinging libraries, setuptools and distutils. distutils came first, but it lacked some really integral features… like uninstallation. Setuptools was written to be a superset of distutils, but inherited some of the same problems. One key issue is that the same code was written to take care of both publishing and installing Python packages, which meant bad separation of responsibility.
Meanwhile, there was a also some friction between easy_install and pip. Easy_install comes automatically with Python, can install from eggs, and has perfect feature parity on Windows, but pip has a much richer feature set, like keeping track of requirements heirarchies and (most of the time) uninstallation, but is more finicky.
I may follow up with more on how virtualenv and pip actually work, stay tuned!
One day at work I was presented with a problem. We use Amazon Web Services’ EC2 for a lot of things. An instance was storing lots of data in a specific directory, and it ran out of space.
- The machine at hand: an Ubuntu 14.04 instance, the Trusty Tahr. I made a blank micro instance for demo purposes.
- The solution: Elastic Block Store, or EBS.
What is an EBS volume?
From the Amazon documentation,
An Amazon EBS volume is a durable, block-level storage device that you can attach to a single EC2 instance.
Basically it’s a bit of storage that can have a filesystem and be treated by the operating system mostly like it would a physical drive you add or remove from your computer. However, it’s connected the the server over the network, and can therefore be umounted and saved or shifted from one instance to the next. They’re a really core AWS product - most EC2 instances these days are “EBS-backed”, meaning an EBS volume taken from a standard snapshot is mounted at the root directory. You can turn off the instance and keep all its data intact if you want.
The other kind of instance is “instance store”, which doesn’t persist and mostly seems to be around for legacy reasons.
Mounting
What does all of this mounting mean? Presumably no steeds are involved.
Well, a computer’s files can be spread across a bunch of different storage devices. Mount is the Unix command that tells your operating system that some storage with a filesystem is available and what its “mount point” is, i.e. the part of the directory tree for which it should be used. If you were dealing with a physical computer sitting on your lap or desk, you might use mount
to indicate a new SD drive or DVD. As you might expect, umount
is its opposite, and disengages the storage.
Some really simple sample usage:
$mount # Just tells you what's going on currently.
/dev/xvda1 on / type ext4 (rw,discard)
proc on /proc type proc (rw,noexec,nosuid,nodev)
sysfs on /sys type sysfs (rw,noexec,nosuid,nodev)
none on /sys/fs/cgroup type tmpfs (rw)
none on /sys/fs/fuse/connections type fusectl (rw)
none on /sys/kernel/debug type debugfs (rw)
none on /sys/kernel/security type securityfs (rw)
udev on /dev type devtmpfs (rw,mode=0755)
devpts on /dev/pts type devpts (rw,noexec,nosuid,gid=5,mode=0620)
tmpfs on /run type tmpfs (rw,noexec,nosuid,size=10%,mode=0755)
none on /run/lock type tmpfs (rw,noexec,nosuid,nodev,size=5242880)
none on /run/shm type tmpfs (rw,nosuid,nodev)
none on /run/user type tmpfs (rw,noexec,nosuid,nodev,size=104857600,mode=0755)
none on /sys/fs/pstore type pstore (rw)
systemd on /sys/fs/cgroup/systemd type cgroup (rw,noexec,nosuid,nodev,none,name=systemd)
$mount /dev/xvdh ~/data # Would put the xvdf drive in my ~/data direcotry
$umount /dev/xvdh # Unmount! Same things as `umount ~/data` really
Meanwhile, need to know how much space and you have and where? df
is your gal. This is what it looks like for my test instance
/dev/xvda1 8125880<PHONE_NUMBER>864 11% /
none 4 0 4 0% /sys/fs/cgroup
udev 290380 12 290368 1% /dev
tmpfs 60272 188 60084 1% /run
none 5120 0 5120 0% /run/lock
none 301356 0 301356 0% /run/shm
none 102400 0 102400 0% /run/user
So… where’s my EBS volume?
First of all, talking specifically about AWS, you have to do some configuration dances before you get an actual extra EBS volume anywhere near your instance. As you can see from the output above, there is already a device called /dev/xvda1
hanging out at the root directory, which is the root device.
When you’re creating an instance, there’s a handy button that says “Add new volume” and then you have to choose a name for your volume, use a specific snapshot, and various other specifications. The names are things like “/dev/sdb1”.
What does this name mean? The helpful popover says:
Depending on the block device driver of the selected AMI’s kernel, the device may be attached with a different name than what you specify.
Wat?
A little history of technology
EBS volumes are “block devices”, which means they read data in and out in chunks, do some buffering, allow random access, and in general have nice high level features. Their counterpoint is the character device, which is less abstracted from its hardware implementation. They are sound cards, modems, etc. Their interfaces exist as “special” or “device” files which live in the /dev
directory.
The options for block device names in the AWS console pretty much all start with sd[a-z]{2}
. This stands for “SCSI disk”, which is pronounced like “scuzzy disk”. SCSI is a protocol for interacting with storage developed long ago. It was the newfangled way to connect storage to your computer compared to IDE cables, which are those ribbons of wire I at least remember my dad pulling out of the computer to detach a floppy drive in the ’90s.
More nomenclature: hd
would indicate a hard disk, and xvd
is Xen virtual disk. Everything in Amazon is virtualized, and the tricky thing is that only some kinds of instances understand that and adjust operations to account for it. Those that do, like Ubuntu 14.04, convert the sd
name you chose to xvd
. Anyway, you can suss out what exactly your instance’s OS will think the device is name using this reference.
What does this all mean PRACTICALLY? Like how do I actually get to the volume?
Try lsblk
.
$ lsblk
NAME MAJ:MIN RM SIZE RO TYPE MOUNTPOINT
xvdh 202:112 0 8G 0 disk
xvda1 202:1 0 8G 0 disk /
Looks like my EBS volume got changed from sdh
to xvdh
. Yay! It’s virtualized.
Anyway, the next step is to mount it, right? I have to prefix /dev
, since that’s the directory the special file is in.
$ sudo mount /dev/xvdh /data
mount: block device /dev/xvdh is write-protected, mounting read-only
mount: you must specify the filesystem type
Ok so actually there’s another step I haven’t explained yet.
Filesystems
I originally thought that filesystems were part of the operating system, since with OSX or Windows (which is what I’ve used historically), you’d have to go out of your way to use a non-standard one. With Linux, choice is abundant. This article has a lot of good things to say clarifying the many Linux filsystem options. For devices that are not crazily large, the standard on Linux these days is ext4 - it’s journaling (meaning it checks in both before and after writes which prevents corruption issues), it’s backwards compatible (so you can mount its predecessor ext filesystems as ext4), and it’s fast.
Important note: EBS volumes do not come with a filesystem already set up. That line about telling you to “specify” in the error above is a red herring.
Welcome to my blog! I was going to get right down to business, but this felt like a good time to set out what exactly I aim to accomplish by writing things publically available on the internet.
This is primarily a “technical” blog. I certainly love writing witty one-liners, posting about my personal life, or taking pictures of myself eating things - but I have twitter, facebook, and a silly tumblr for all of those respectively.
My goals:
- To keep a record of stuff that I’ve learned recently for reinforcement and future reference.
- To be useful to others looking for resources. For right now that will be a lot of systems and command-line utility oriented things, hopefully accessible to those who (like me) don’t have a computer architecture course under their belts.
- To give myself a reason to go in depth into topics outside of work, like for example, learning how to set up a Jekyll-based blog.


Every minute,
every hour,
every day...
We remain
driven to do
better and push
ourselves
further...
Success in any endeavour depends on an individual’s mindset and attitude. However daunting or seemingly impossible a project can come across to be, the mission can still be accomplished if they are powered by a team imbued with an indomitable spirit and relentless drive. This is precisely the kind of passion that each and every one of our people at POSH shares.
Breaking new
grounds and
capturing exciting
opportunities for
the future...
It is often said that change is the only constant. As our industry continues to evolve and adapt to the new normal, companies with foresight and ability to discern what lies over the horizon while acting decisively will reap substantial rewards. The possibilities are limitless for those with the vision and courage to seize the day.
While staying
committed to
our goal of
excellence in all
that we do.
Staying competitive in any industry requires one to consistently deliver what clients expect today. But to truly excel, one has to go above and deliver what they need for tomorrow. At POSH, we have built and staked our reputation on being able to help our clients around the world deliver business-critical outcomes. We believe in excelling in all that we do.


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Adisakshya Chauhan
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Updated 7/18/2014
Instructor: Cecy Correa, @cecycorrea
Contact<EMAIL_ADDRESS>Awesome TAs:
Responsive web design is an approach to web design in which a site is crafted to provide an optimal viewing experience—easy reading and navigation with a minimum of resizing, panning, and scrolling— across a wide range of devices (from desktop computer monitors to mobile phones).
Presentation by Bryan Rieger (2010)
Slide 56
Design desktop site first?
Add @media queries?
Noupe.
Design mobile first?
Add @media queries?
Progressively enhance the experience?
The absence of support for @media queries is in fact the first @media query.
Slide 79
Class links: cecy.co/rwd-gdi-links
Formula: Target / Context
Wherein...
Target = 640, context is 960
What will the percentage be?
Answer: 66.666666666667%
Let's turn the rest into %
Let's turn the rest into %
*Round up to 4% to make it fit
How do we turn the Context into a %?
We could...
.container { width: 100%; }
Let's see what that does...
There are some issues, a little stretched out...
Let's try....
.container { width: 100%; max-width: 960px; }
Much better!
Videos, images, etc.
The secret again is using %
Secret sauce:
img { max-width: 100%; }
Let's add images to our practice site!
img src="http://placekitten.com/700/200" alt="kitten"
Now, let's add...
img { max-width: 100%; }
What if we want to make it smaller?
Add a class to it!
.cat { width: 50%; }
Add 3 cat images to your site, make them sit side by side using %
Allow you check for capabilities of a device, like:
@media all
Applies to all media types: screen, print, tv...
@media screen
The one you want to use! Browsers and mobile devices are in this category. Excludes print, etc.
@media print
For printers
@media handheld
For "handheld" devices. Not widely supported right now.
@media screen and (resolution: #dpi)
For high resolution devices, like retina displays. You can use this to display higher res images to higher res devices.
@media all and (orientation: landscape)
@media all and (orientation: portrait)
There's even...
@media 3d-glasses
You may see...
@media only screen ...
"Only" is used so older browsers ignore the code.
This will only work in devices:
@media screen and (min-device-width)
This will work in your browser:
@media screen and (min-width)
Add a media query to your site: make the background red at 600px.
@media screen and (min-width: 600px) { body {background: red;} }
Not px but ems
16px is default for browsers.
Target / 16px = em
Let's figure out our ems on our practice site!


'£28m' - This is the whopping transfer message Wolves have been sent
Latest Wolves transfer news | WWFC have been linked with Huddersfield Town striker ahead of January window
by Shane Ireland, https://www.facebook.com/ShaneIrelandJournalistWolverhampton Wanderers are being linked with Huddersfield Town hotshot Karlan Grant ahead of the January transfer window.
The 22-year-old striker has already scored nine goals this season, including the winner in Huddersfield’s 1-0 victory over Brentford on Saturday.
According to the Sun, Wolves are keeping close tabs on his performances ahead of a potential approach when the window re-opens.
Grant cost Huddersfield just £2m when he joined from Charlton Athletic at the start of the year, but it is reported the Terriers will hold out for at least £10m should Wolves make their move.
Wolves latest
This is your round up of all things Wolves; the one-stop shop that will keep you updated on the latest goings on at the club and beyond.
Transfers, injuries, match-days and managers, we’ve got you covered.
We’ll be bringing the very latest on Wolves throughout the week and around the clock.
Make sure you keep yourself updated with our handy daily catch up...
Must reads...
- Manager reveals why Wolves star Adama Traore phoned him
- Who is Aurelio Buta? The lowdown on Wolves and Newcastle United target'
- Wolves are plotting this double January transfer raid - reports
- 'Can be sold' - What £25m transfer target would add to Wolves
For all your latest WWFC news, opinion, analysis and transfer gossip, click here
You can follow our Wolves reporter Alex Dicken on Twitter, and his email address is<EMAIL_ADDRESS>But fans of the Championship club rate him much more highly than that.
Our colleagues at ExaminerLive asked supporters to value the forward in light of the link with Wolves – and they think he’s worth a whopping £28m.
Raul Jimenez is Wolves’ top scorer this season with 11 goals, Diogo Jota has four, and summer arrival Patrick Cutrone has scored twice since arriving at Molineux from AC Milan.


To-do List
Pending task(s) =
[
Note
: If work is done, check the corresponding checkbox and Press "Delete from List"]


| # | Image |
Title
|
Artist | Duration | ||
|---|---|---|---|---|---|---|
{{(j+1)+((currPage-1)*itemsPerPage)}} |
{{track.name}} |
|
{{track.duration_ms | date:'mm:ss'}} | |||
| Total Songs: {{tracks.length}} | Total Duration: {{ duration + 18000000 | date:'HH:mm:ss'}} |


Time spent for one interview and interview prep cannot be zero The minimum time spent should be at least 1 minute
Hourly wage for one professional cannot be zero The minimum amount should be at least $1
TO VIEW THE RESEARCH AND STATISTICS BEHIND THE ROI CALCULATION, PLEASE CLICK HERE


Hazard: Replacing Ronaldo at Real Madrid no pressure situation
by Alex KirklandEden Hazard has said he isn't feeling the pressure of replacing Cristiano Ronaldo as Real Madrid wait to see the best of their star €100 million summer signing.
Madrid host Paris Saint-Germain at the Bernabeu on Tuesday, trailing the French side in Champions League Group A.
- ESPN La Liga fantasy: Sign up now!
- When does the transfer window reopen?
"When I take to the pitch, I do not think about Cristiano having been there before me, nor that I must do better than him" Hazard told Le Parisien. "Other people will make comparisons.
"I will not score more goals than Cristiano, that is for sure."
The 28-year-old has scored once in eight La Liga appearances so far this season and is yet to find the net in the Champions League.
"A Galactico is a player who scores goals and wins for his team" he added. "I was probably one with Chelsea. Here, for now, I am like a young guy who comes with the ambition of trying to win his role. I must be consistent first, scoring goals and winning titles."
Real Madrid have recovered from a disastrous start to their Champions League campaign, beaten 3-0 in Paris in September, to sit second with seven points -- five behind PSG.
Hazard has faced some criticism for a slow start to the season and said he did return from his summer break overweight.
"People were right" he said. "I was coming off the back of three weeks of holiday and I enjoyed it.
"I have always been somebody who relaxes during the summer. I knew that I would be criticised more with Real than with Chelsea, but that is not a problem."


|
|
Dimensions: X
|
|
|
NOTE: You cannot rewrite/redirect a *valid* URL. For example you cannot redirect an existing category or product page. That is because a rewrite lookup is only done immediately before a 404 page is served.
Columns headers are as follows:
%ORDERID,%SHIPPING_METHOD,%SHIPPING_COST,bill_*,ship_*,%SKU,%DESCRIPTION,%QTY,%WEIGHT,%PRICE
» Advanced order import guide
Columns headers are as follows:
%ORDERID,%CARRIER,%TRACKING_NUMBER,%NOTES


Source Code
This application was designed and built by Artemis Consulting, Inc. All source code hosted on github at github.com/artemis-consulting/prototype-pool3. For more information about Artemis Consulting, please visit www.artemisconsultinginc.com.
Licensing Information
Copyright 2015 Artemis Consulting, Inc.
This website and all source files (the "Software") are made available under the MIT License (MIT).
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


2021 Kia Seltos Leaked Ahead Of U.S. Debut In Big Way, Literally
This rather conspicuous advertisement sits atop the Los Angeles Convention Center.
by Christopher SmithFolks, what we’ve got here is a failure to communicate. Or rather, we suspect that might be some of the chatter currently taking place among various departments at Kia’s U.S. headquarters right now. If you recall, yesterday the automaker dropped a teaser image that showed an obscured SUV with a reveal date of November 20.
Update:
Imagine our surprise, then, to see this freaking gigantic advertisement “introducing the tough and ready 2021 Kia Seltos.” And where do we see this? Why, right outside the Los Angeles Convention Center, where auto journalists from around the world are presently gathering en masse for the 2019 LA Auto Show. So yeah, it’s safe to assume this is Kia’s new mystery reveal, albeit a day early. Guess the advertising team didn't get the memo to keep things on the DL until the 20th.
As far as leaks go, this isn’t the worst. Kia actually revealed the Seltos several months ago in India, but the compact SUV wasn’t confirmed for the U.S. market. Technically speaking, this larger-than-life advertisement doesn’t confirm the Seltos is coming to America but come on – it’s literally plastered to the side of the LA Convention Center. We also don’t have any details about the alleged U.S-spec Seltos yet, so there will indeed be some fresh news to learn from its official unveiling.
Gallery: 2020 Kia Seltos
We can say that it launched overseas with a choice of 1.6-liter turbocharged four-cylinder engines burning either gasoline or diesel, and a naturally aspirated 2.0-liter engine. We can also say it should hold a Kia Niro-sized place in the automaker’s lineup, though its squarish styling is reminiscent of the Kia Soul. Comparing the advertisement to the international-launch Seltos photo gallery above, there appear to be some minor styling differences to the front clip. Given the exceedingly competitive compact crossover segment in the U.S., minor changes from the international model, be them aesthetically or mechanically, certainly aren't out of the question.
We will find out for sure in about 24 hours from this posting. Until then, we suspect some advertising folks in Kia’s fold have some explaining to do.


Section 1
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Section 2
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Professional Summary
Skills
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Projects
Section 4 Submenu 2
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1 write to sessionState
System.Management.Automation (1)
engine\ScopedItemSearcher.cs (1)
46
this.
sessionState
= sessionState;
7 references to sessionState
System.Management.Automation (7)
engine\ScopedItemSearcher.cs (7)
206
_initialScope =
sessionState
.CurrentScope;
210
_initialScope =
sessionState
.GlobalScope;
216
_initialScope =
sessionState
.CurrentScope;
221
_initialScope =
sessionState
.ScriptScope;
290
scope !=
sessionState
.CurrentScope))
343
scope !=
sessionState
.CurrentScope))
415
scope !=
sessionState
.CurrentScope)


stk.ga.selection module¶
Defines selection functions via Selection
.
Extending stk: Adding selection functions.¶
If a new selection operation is to be added to stk
it should be
added as a method in Selection
. The only requirements are
that the first argument is population (excluding any self or cls
arguments).
The naming requirement exists to help users identify which arguments are handled automatically by the GA and which they need to define in the input file. The convention is that if the selection function takes an argument called population it does not have to be specified in the input file.
All selection functions should be defined as generators, which yield a member of the population. In the case of crossover selection functions, they should yield a tuple of members. Generational selection functions should yield each molecule at most once.
If the selection function does not fit neatly into a single function make sure that any helper functions are private, i.e. that their names start with a leading underscore.
-
class
stk.ga.selection.
Selection
(generational, crossover, mutation)¶ Bases:
object
A class for handling all types of selection in the GA.
Whenever a population needs to have some of its members selected for GA operations such as mutation, selection or generational selection, it delegates this task to an instance of this class. The population holds the instance in
GAPopulation.ga_tools
.To illustrate how a
Selection
instance works it is best to use an example.# 1. Create FunctionData objects which describe the selection # functions to be used. These will correspond to methods # in the Selection class. # For selecting members of the next generation. gen_select_fn = FunctionData('fittest') # For selecting molecules for crossover. crossover_select_fn = FunctionData('crossover_roulette', n=5) # For selecting molecules to mutate. mutation_select_fn = FunctionData('stochastic_sampling', elites=2, duplicates=True) # 2. Create a Selection instance using the chosen functions. sel = Selection(gen_select_fn, crossover_select_fn, mutation_select_fn) # 3. Create a population from which "sel" will select members. pop = GAPopulation(mol1, mol2, mol3, mol4) # 4. Now the selection instance can be used to select members # of "pop". # To select members of the next generation, call the selection # instance with the population as an argument, and a string # to indicate generational selection is desired. next_gen = sel(pop, 'generational') # Note that next_gen is a generator, which yields the # selected molecules. next_gen # <generator object ... > for mol in next_gen: mol # A molecule in "pop". # To select members for crossover, the same idea as for # generational selection applies. crossover_mols = sel(pop, 'crossover') # Again, "crossover_mols" is a generator. This time it yields # tuples of molecules however. This is because 2 or more # molecules are required per crossover operation. # Finally, to select molecules for mutation. mols_to_mutate = sel(pop, 'mutation') # Again, "mols_to_mutate" is a generator yielding single # molecules.
By providing the strings
'generational'
,'crossover'
and'mutation'
, theSelection
instance knows to pick the correct function from theFunctionData
instances provided during initialization.Note that duplicates are not considered during selection. If a molecule is present in the population twice, its chance of selection does not double.
-
generational
¶ This holds the
FunctionData
object representing the selection function used for selecting the next generation of molecules.Type: FunctionData
-
crossover
¶ Holds the
FunctionData
object representing the selection function used for selecting molecules for crossover.Type: FunctionData
-
mutation
¶ Holds the
FunctionData
object representing the selection function used for selecting molecules to mutate.Type: FunctionData
-
_stochastic_sampling_guaranteed
(pop, yielded, duplicates)¶ Yielded the members guaranteed by stochastic sampling.
Parameters: - pop (
list
ofMacroMolecule
) – The molecules which are being selected. - yielded (
set
ofMacroMolecule
) – Holds all previously yielded molecules. - duplicates (
bool
) – Indicates whether a member can be yielded more than once.
Yields: MacroMolecule
– The next member whose normalized fitness integer component is greater than 0.- pop (
-
_stochastic_sampling_roulette
(pop, yielded, duplicates)¶ Does the roulette component of stochastic sampling.
Parameters: - pop (
list
ofMacroMolecule
) – The molecules which are being selected. - yielded (
set
ofMacroMolecule
) – Holds all previously yielded molecules. - duplicates (
bool
) – Indicates whether a member can be yielded more than once.
Yields: MacroMolecule
– The seleceted population member.- pop (
-
all_combinations
(population)¶ Yields every possible pairing of individuals from a population.
This yields members regardless of which subpopulation they are in. Each pair is only returned once. This means if
(1,2)
is yielded(2,1)
will not be.Parameters: population ( GAPopulation
) – The population from which parents should be selected.Yields: tuple
ofMacroMolecule
– TheMacroMolecule
instances which are to be crossed.
-
all_combinations_n_fittest
(population, n)¶ Yields all pairings of the n fittest individuals.
The pairings are yielded with in order of fitness, with most fit pair yielded first.
Parameters: - population (
GAPopulation
) – The population from which parents should be selected. - n (
int
) – The number of individuals used for making offspring.
Yields: tuple
ofMacroMolecule
– TheMacroMolecule
instances which are to be crossed.- population (
-
crossover_deterministic_sampling
(population, truncation=None)¶ Yields parents according to determnistic sampling.
In determnistic sampling the mean fitness value of the population is calculated,
<f>
. For each individual a normalized fitness value is then calculated via:fn = f / <f>
where
fn
is the normalized fitness value andf
is the original fitness value.Deterministic sampling then creates a temporary, parent population of the same size as the original population. An individual is guaranteed to be placed into the parent population
n
times, wheren
is the integer part offn
. Any remaining slots are given to individuals with the largest decimal values.Parents are then randomly selected from the parent population.
Parameters: - population (
GAPopulation
) – The population from which parents are selected. - truncation (
int
, optional) – The number of least fit members which will never be yielded.
Yields: numpy.ndarray
ofMacroMolecule
– The selected parent pair.- population (
-
crossover_roulette
(population, truncation=None)¶ Yields parents using roulette selection.
In roulette selection the probability an individual is selected is given by its fitness. If the total fitness is the sum of all fitness values, the chance an individuals is selected is given by:
p = individual fitness / total fitness,
where
p
is the probability of selection [1].Parameters: - population (
GAPopulation
) – The population from which parents are selected. - truncation (
int
, optional) – The number of least fit members which will never be yielded.
Yields: numpy.ndarray
ofMacroMolecule
– The selected parent pair.References
[1] http://tinyurl.com/csc3djm - population (
-
deterministic_sampling
(population, truncation=None)¶ Yields individuals using deterministic sampling.
This algorithm can only be used for selection of mutants. It will return duplicates. The results of
fittest()
are equivalent to algorithm without duplicates.In determnistic sampling the mean fitness value of the population is calculated,
<f>
. For each individual a normalized fitness value is then calculated via:fn = f / <f>
where
fn
is the normalized fitness value andf
is the original fitness value. An individual will be selectedn
times, wheren
is the integer value offn
. After all individuals wheren > 0
are yielded, all inidividuals are yielded again, largest decimal part offn
first.Parameters: - population (
GAPopulation
) – The population from which individuals are to be selected. - truncation (
int
, optional) – The number of least fit members which will never be yielded.
Yields: MacroMolecule
– The next selected population member.- population (
-
fittest
(population)¶ Yields members of the population, fittest first.
Parameters: population ( GAPopulation
) – The population who’s members need to be selected.Yields: MacroMolecule
– The next fittestMacroMolecule
instance held by population.
-
roulette
(population, elites=0, truncation=None, duplicates=False)¶ Yields individuals using roulette selection.
In roulette selection the probability an individual is selected is given by its fitness. If the total fitness is the sum of all fitness values, the chance an individuals is selected is given by:
p = individual fitness / total fitness,
where
p
is the probability of selection [2].Parameters: - population (
GAPopulation
) – The population from which individuals are to be selected. - elites (
int
, optional) – The number of the fittest members which are guaranteed to be yielded first. - truncation (
int
, optional) – The number of least fit members which will never be yielded. - duplicates (
bool
, optional) – IfTrue
the same member can be yielded more than once.
Yields: MacroMolecule
– The next selected population member.References
[2] http://tinyurl.com/csc3djm - population (
-
stochastic_sampling
(population, elites=0, truncation=None, duplicates=False, use_rank=False)¶ Yields individuals via stochastic sampling.
Each fitness value is used to calculate the normalized fitness of an individual:
fn = f / <f>
where
fn
is the normalized fitness value,f
is the original fitness value and<f>
is the mean fitness of the population. Iffn
is greater than1
then the individual is guaranteed to be selected.  The weights in the roulette method are based on the decimal part of
fn
.Parameters: - population (
GAPopulation
) – The population from which individuals are to be selected. - elites (
int
, optional) – The number of the fittest members which are guaranteed to be yielded first. - truncation (
int
, optional) – The number of least fit members which will never be yielded. - duplicates (
bool
, optional) – IfTrue
the same member can be yielded more than once. - use_rank (
bool
, optional) – WhenTrue
the fitness value of an individual is calculated as,f = 1/rank
.
Yields: MacroMolecule
– The next selected population member.- population (
-


# A different way to Node
> The tales of a lazy developer
## About me
* No-stack WEB DEVELOPER - [I hate full stack! Period!](https://codesi.nz/I-hate-full-stack/).
+ Software *over-engineer*.
* Wannabe book author.
* Blogger - [codesi.nz](https://codesi.nz).
* Tweeter - [@opreaadrian](https://twitter.com/@opreaadrian).
* Open sourcer [/opreaadrian](https://github.com/opreaadrian).
* Father (when not programming).
* Deprived of sleep.
## Why am I here?
* To show you how lazy I am.
* To teach you how to be just as lazy.
## I didn't come to:
* Show you YAJF.
* Debate why NoSQL is better than SQL or why jQuery is not a programming language :D.
## What do I want you to get out of this?
* A different view on your approach to application architecture.
* Thoughts... a lot of thoughts!
## How are we "doing it" today?
#### — nothing technically wrong
* Create a bunch of JS files.
* Group them by what we believe to be "related functionality".
* Spread them all over the place.
* Hope nobody will want to reuse code from our application.
## Drawbacks
* Code is harder to maintain.
* `require('./../../lib/data.js');`
* Reusable snippets vs. reusable modules.
## There is a solution!
* Author everything as node modules.
* Have the secret stuff deployed on a private npm.
* Let [npmjs](https://www.npmjs.com/) handle the non-sensitive parts.
+ Give back by open-sourcing stuff.
## Benefits
* Reusable modules (strive for that, doesn't always work :D)
* Free versioning.
* Fast application setup/startup (package.json is all you need)
All of this, is manual labour!
You could spend your time doing something else
— hopefully not related to programming
## [npmjs.com/package/packo](https://www.npmjs.com/package/packo)
* Quick setup.
* Easy to work with.
* Integrated with NSP — [nodesecurity.io](https://nodesecurity.io/)


FG sets date for lecturers enrollment to IPPIS - The Nation Newspaper
by https://www.facebook.com/CheerfulpraiseClinton Njaka
The federal government has fixed a date for staff of Federal Universities and Colleges of Education to enrol into Integrated Personnel and Payroll System (IPPIS).
A statement from the Office of the Accountant General of the Federation (OAGF) said the enrollment of staff of these federal tertiary institutions will commence on 25th November 2019 and end on 7th December 2019.
According to the statement, “all staff of Federal Universities and Colleges of Education in Nigeria are to present themselves for enrollment into the Integrated Personnel and Payroll System (IPPIS) with the following documents: Letter of First Appointment; Letter of Last Promotion; Evidence of Transfer of Service (if any); Staff Identification Card; Birth Certificate/Declaration of Age; Educational Qualifications; Copy of Bank Statement (6 months); BVN Printout; PFA Printout and Evidence of Change of Name (if any)
The OAGF enjoined staff of Federal Universities and Colleges of Education in Nigeria to cooperate and ensure a seamless enrollment.


OnErrorDefault()
Syntax
OnErrorDefault()Description
Changes the action taken when an error occurs back to the system default. This usually means displaying an error dialog and exiting the program, but it may also mean to just ignore certain errors. To exit the program on every error, use OnErrorExit().
Parameters
None.
Return value
None.
Remarks
When using the OnError library inside a DLL the best practice is to set the error handler at the beginning of every public DLL function and resetting it back to the default with this command before returning to the caller to make sure there is no interference between the OnError library and any exception handling done by the calling program.
Example
Procedure ErrorHandler() MessageRequester("OnError test", "The following error happened: " + ErrorMessage()) EndProcedure MessageRequester("OnError test", "Test start") OnErrorCall(@ErrorHandler()) OnErrorDefault() ; Comment this to get the handler call instead of the system error handling Pokes(10, "Hello World") ; Cause a #PB_OnError_InvalidMemory error MessageRequester("OnError test", "This should never be displayed")
Supported OS
All


public interface HttpStatus
| Modifier and Type | Field and Description |
|---|---|
static int |
SC_ACCEPTED
202 Accepted (HTTP/1.0 - RFC 1945) |
static int |
SC_BAD_GATEWAY
502 Bad Gateway (HTTP/1.0 - RFC 1945) |
static int |
SC_BAD_REQUEST
400 Bad Request (HTTP/1.1 - RFC 2616) |
static int |
SC_CLIENT_ERROR
4xx Client Error (HTTP/1.1 - RFC 2616) |
static int |
SC_CONFLICT
409 Conflict (HTTP/1.1 - RFC 2616) |
static int |
SC_CONTINUE
100 Continue (HTTP/1.1 - RFC 2616) |
static int |
SC_CREATED
201 Created (HTTP/1.0 - RFC 1945) |
static int |
SC_EXPECTATION_FAILED
417 Expectation Failed (HTTP/1.1 - RFC 2616) |
static int |
SC_FAILED_DEPENDENCY
424 Failed Dependency (WebDAV - RFC 2518) |
static int |
SC_FORBIDDEN
403 Forbidden (HTTP/1.0 - RFC 1945) |
static int |
SC_GATEWAY_TIMEOUT
504 Gateway Timeout (HTTP/1.1 - RFC 2616) |
static int |
SC_GONE
410 Gone (HTTP/1.1 - RFC 2616) |
static int |
SC_HTTP_VERSION_NOT_SUPPORTED
505 HTTP Version Not Supported (HTTP/1.1 - RFC 2616) |
static int |
SC_INFORMATIONAL
100 1xx Informational (HTTP/1.1 - RFC 2616) |
static int |
SC_INSUFFICIENT_SPACE_ON_RESOURCE
Static constant for a 419 error.
|
static int |
SC_INSUFFICIENT_STORAGE
507 Insufficient Storage (WebDAV - RFC 2518) |
static int |
SC_INTERNAL_SERVER_ERROR
500 Internal Server Error (HTTP/1.0 - RFC 1945) |
static int |
SC_LENGTH_REQUIRED
411 Length Required (HTTP/1.1 - RFC 2616) |
static int |
SC_LOCKED
423 Locked (WebDAV - RFC 2518) |
static int |
SC_METHOD_FAILURE
Static constant for a 420 error.
|
static int |
SC_METHOD_NOT_ALLOWED
405 Method Not Allowed (HTTP/1.1 - RFC 2616) |
static int |
SC_MISDIRECTED_REQUEST
421 Misdirected Request (HTTP/2 - RFC 7540) |
static int |
SC_MOVED_PERMANENTLY
301 Moved Permanently (HTTP/1.0 - RFC 1945) |
static int |
SC_MOVED_TEMPORARILY
302 Moved Temporarily (Sometimes Found ) (HTTP/1.0 - RFC 1945) |
static int |
SC_MULTI_STATUS
207 Multi-Status (WebDAV - RFC 2518) or 207 Partial Update OK (HTTP/1.1 -
draft-ietf-http-v11-spec-rev-01?) |
static int |
SC_MULTIPLE_CHOICES
300 Mutliple Choices (HTTP/1.1 - RFC 2616) |
static int |
SC_NO_CONTENT
204 No Content (HTTP/1.0 - RFC 1945) |
static int |
SC_NON_AUTHORITATIVE_INFORMATION
203 Non Authoritative Information (HTTP/1.1 - RFC 2616) |
static int |
SC_NOT_ACCEPTABLE
406 Not Acceptable (HTTP/1.1 - RFC 2616) |
static int |
SC_NOT_FOUND
404 Not Found (HTTP/1.0 - RFC 1945) |
static int |
SC_NOT_IMPLEMENTED
501 Not Implemented (HTTP/1.0 - RFC 1945) |
static int |
SC_NOT_MODIFIED
304 Not Modified (HTTP/1.0 - RFC 1945) |
static int |
SC_OK
200 OK (HTTP/1.0 - RFC 1945) |
static int |
SC_PARTIAL_CONTENT
206 Partial Content (HTTP/1.1 - RFC 2616) |
static int |
SC_PAYMENT_REQUIRED
402 Payment Required (HTTP/1.1 - RFC 2616) |
static int |
SC_PRECONDITION_FAILED
412 Precondition Failed (HTTP/1.1 - RFC 2616) |
static int |
SC_PROCESSING
102 Processing (WebDAV - RFC 2518) |
static int |
SC_PROXY_AUTHENTICATION_REQUIRED
407 Proxy Authentication Required (HTTP/1.1 - RFC 2616) |
static int |
SC_REDIRECTION
3xx Redirection (HTTP/1.1 - RFC 2616) |
static int |
SC_REQUEST_TIMEOUT
408 Request Timeout (HTTP/1.1 - RFC 2616) |
static int |
SC_REQUEST_TOO_LONG
413 Request Entity Too Large (HTTP/1.1 - RFC 2616) |
static int |
SC_REQUEST_URI_TOO_LONG
414 Request-URI Too Long (HTTP/1.1 - RFC 2616) |
static int |
SC_REQUESTED_RANGE_NOT_SATISFIABLE
416 Requested Range Not Satisfiable (HTTP/1.1 - RFC 2616) |
static int |
SC_RESET_CONTENT
205 Reset Content (HTTP/1.1 - RFC 2616) |
static int |
SC_SEE_OTHER
303 See Other (HTTP/1.1 - RFC 2616) |
static int |
SC_SERVER_ERROR
500 Server Error (HTTP/1.0 - RFC 1945) |
static int |
SC_SERVICE_UNAVAILABLE
503 Service Unavailable (HTTP/1.0 - RFC 1945) |
static int |
SC_SUCCESS
2xx Success (HTTP/1.0 - RFC 1945) |
static int |
SC_SWITCHING_PROTOCOLS
101 Switching Protocols (HTTP/1.1 - RFC 2616) |
static int |
SC_TEMPORARY_REDIRECT
307 Temporary Redirect (HTTP/1.1 - RFC 2616) |
static int |
SC_UNAUTHORIZED
401 Unauthorized (HTTP/1.0 - RFC 1945) |
static int |
SC_UNPROCESSABLE_ENTITY
422 Unprocessable Entity (WebDAV - RFC 2518) |
static int |
SC_UNSUPPORTED_MEDIA_TYPE
415 Unsupported Media Type (HTTP/1.1 - RFC 2616) |
static int |
SC_USE_PROXY
305 Use Proxy (HTTP/1.1 - RFC 2616) |
static final int SC_INFORMATIONAL
100 1xx Informational
(HTTP/1.1 - RFC 2616)static final int SC_CONTINUE
100 Continue
(HTTP/1.1 - RFC 2616)static final int SC_SWITCHING_PROTOCOLS
101 Switching Protocols
(HTTP/1.1 - RFC 2616)static final int SC_PROCESSING
102 Processing
(WebDAV - RFC 2518)static final int SC_SUCCESS
2xx Success
(HTTP/1.0 - RFC 1945)static final int SC_OK
200 OK
(HTTP/1.0 - RFC 1945)static final int SC_CREATED
201 Created
(HTTP/1.0 - RFC 1945)static final int SC_ACCEPTED
202 Accepted
(HTTP/1.0 - RFC 1945)static final int SC_NON_AUTHORITATIVE_INFORMATION
203 Non Authoritative Information
(HTTP/1.1 - RFC 2616)static final int SC_NO_CONTENT
204 No Content
(HTTP/1.0 - RFC 1945)static final int SC_RESET_CONTENT
205 Reset Content
(HTTP/1.1 - RFC 2616)static final int SC_PARTIAL_CONTENT
206 Partial Content
(HTTP/1.1 - RFC 2616)static final int SC_MULTI_STATUS
207 Multi-Status
(WebDAV - RFC 2518) or 207 Partial Update OK
(HTTP/1.1 -
draft-ietf-http-v11-spec-rev-01?)static final int SC_REDIRECTION
3xx Redirection
(HTTP/1.1 - RFC 2616)static final int SC_MULTIPLE_CHOICES
300 Mutliple Choices
(HTTP/1.1 - RFC 2616)static final int SC_MOVED_PERMANENTLY
301 Moved Permanently
(HTTP/1.0 - RFC 1945)static final int SC_MOVED_TEMPORARILY
302 Moved Temporarily
(Sometimes Found
) (HTTP/1.0 - RFC 1945)static final int SC_SEE_OTHER
303 See Other
(HTTP/1.1 - RFC 2616)static final int SC_NOT_MODIFIED
304 Not Modified
(HTTP/1.0 - RFC 1945)static final int SC_USE_PROXY
305 Use Proxy
(HTTP/1.1 - RFC 2616)static final int SC_TEMPORARY_REDIRECT
307 Temporary Redirect
(HTTP/1.1 - RFC 2616)static final int SC_CLIENT_ERROR
4xx Client Error
(HTTP/1.1 - RFC 2616)static final int SC_BAD_REQUEST
400 Bad Request
(HTTP/1.1 - RFC 2616)static final int SC_UNAUTHORIZED
401 Unauthorized
(HTTP/1.0 - RFC 1945)static final int SC_PAYMENT_REQUIRED
402 Payment Required
(HTTP/1.1 - RFC 2616)static final int SC_FORBIDDEN
403 Forbidden
(HTTP/1.0 - RFC 1945)static final int SC_NOT_FOUND
404 Not Found
(HTTP/1.0 - RFC 1945)static final int SC_METHOD_NOT_ALLOWED
405 Method Not Allowed
(HTTP/1.1 - RFC 2616)static final int SC_NOT_ACCEPTABLE
406 Not Acceptable
(HTTP/1.1 - RFC 2616)static final int SC_PROXY_AUTHENTICATION_REQUIRED
407 Proxy Authentication Required
(HTTP/1.1 - RFC 2616)static final int SC_REQUEST_TIMEOUT
408 Request Timeout
(HTTP/1.1 - RFC 2616)static final int SC_CONFLICT
409 Conflict
(HTTP/1.1 - RFC 2616)static final int SC_GONE
410 Gone
(HTTP/1.1 - RFC 2616)static final int SC_LENGTH_REQUIRED
411 Length Required
(HTTP/1.1 - RFC 2616)static final int SC_PRECONDITION_FAILED
412 Precondition Failed
(HTTP/1.1 - RFC 2616)static final int SC_REQUEST_TOO_LONG
413 Request Entity Too Large
(HTTP/1.1 - RFC 2616)static final int SC_REQUEST_URI_TOO_LONG
414 Request-URI Too Long
(HTTP/1.1 - RFC 2616)static final int SC_UNSUPPORTED_MEDIA_TYPE
415 Unsupported Media Type
(HTTP/1.1 - RFC 2616)static final int SC_REQUESTED_RANGE_NOT_SATISFIABLE
416 Requested Range Not Satisfiable
(HTTP/1.1 - RFC 2616)static final int SC_EXPECTATION_FAILED
417 Expectation Failed
(HTTP/1.1 - RFC 2616)static final int SC_MISDIRECTED_REQUEST
421 Misdirected Request
(HTTP/2 - RFC 7540)static final int SC_INSUFFICIENT_SPACE_ON_RESOURCE
419 Insufficient Space on Resource
(WebDAV -
draft-ietf-webdav-protocol-05?) or 419 Proxy Reauthentication Required
(HTTP/1.1
drafts?)static final int SC_METHOD_FAILURE
420 Method Failure
(WebDAV -
draft-ietf-webdav-protocol-05?)static final int SC_UNPROCESSABLE_ENTITY
422 Unprocessable Entity
(WebDAV - RFC 2518)static final int SC_LOCKED
423 Locked
(WebDAV - RFC 2518)static final int SC_FAILED_DEPENDENCY
424 Failed Dependency
(WebDAV - RFC 2518)static final int SC_SERVER_ERROR
500 Server Error
(HTTP/1.0 - RFC 1945)static final int SC_INTERNAL_SERVER_ERROR
500 Internal Server Error
(HTTP/1.0 - RFC 1945)static final int SC_NOT_IMPLEMENTED
501 Not Implemented
(HTTP/1.0 - RFC 1945)static final int SC_BAD_GATEWAY
502 Bad Gateway
(HTTP/1.0 - RFC 1945)static final int SC_SERVICE_UNAVAILABLE
503 Service Unavailable
(HTTP/1.0 - RFC 1945)static final int SC_GATEWAY_TIMEOUT
504 Gateway Timeout
(HTTP/1.1 - RFC 2616)static final int SC_HTTP_VERSION_NOT_SUPPORTED
505 HTTP Version Not Supported
(HTTP/1.1 - RFC 2616)static final int SC_INSUFFICIENT_STORAGE
507 Insufficient Storage
(WebDAV - RFC 2518)Copyright © 2018 Walmart, Inc.. All rights reserved.


Algorithms to approximate the Pareto-front of multi-criteria minimum spanning tree problems. Additionally, a modular toolbox for the generation of multi-objective benchmark graph problems is included.
| Version: | 1.0.1 |
| Depends: | BBmisc (≥ 1.6), ecr (≥ 2.1.0) |
| Imports: | checkmate (≥ 1.1), parallelMap (≥ 1.3), reshape2 (≥ 1.4.1), gtools, vegan, ggplot2 (≥ 1.0.0), lhs |
| Suggests: | testthat (≥ 0.9.1), knitr, rmarkdown, gridExtra |
| Published: | 2017-09-18 |
| Author: | Jakob Bossek [aut, cre] |
| Maintainer: | Jakob Bossek <j.bossek at gmail.com> |
| BugReports: | https://github.com/jakobbossek/mcMST/issues |
| License: | BSD_2_clause + file LICENSE |
| URL: | https://github.com/jakobbossek/mcMST |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | mcMST results |
| Reference manual: | mcMST.pdf |
| Vignettes: |
Generating benchmark graphs Brief introduction to mcMST |
| Package source: | mcMST_1.0.1.tar.gz |
| Windows binaries: | r-devel: mcMST_1.0.1.zip, r-release: mcMST_1.0.1.zip, r-oldrel: mcMST_1.0.1.zip |
| OS X binaries: | r-release: mcMST_1.0.1.tgz, r-oldrel: mcMST_1.0.1.tgz |
| Old sources: | mcMST archive |
Please use the canonical form https://CRAN.R-project.org/package=mcMST to link to this page.


|
Groovy 2.1.7 | |||||||
| PREV NEXT | FRAMES NO FRAMES |
| Interface Summary | |
|---|---|
| ExpressionTransformer | Provides a way to transform expressions |
| MethodCall | Interface defining common methods for method calls. |
| Class Summary | |
|---|---|
| AnnotationConstantExpression | Represents an annotation "constant" that may appear in annotation attributes (mainly used as a marker). |
| ArgumentListExpression | Represents one or more arguments being passed into a method |
| ArrayExpression | Represents an array object construction either using a fixed size or an initializer expression |
| AttributeExpression | Represents an attribute access (accessing the field of a class) such as the expression "foo. |
| BinaryExpression | Represents two expressions and an operation |
| BitwiseNegationExpression | @author phk |
| BooleanExpression | Represents a boolean expression |
| CastExpression | Represents a type cast expression |
| ClassExpression | Represents access to a Java/Groovy class in an expression, such as when invoking a static method or accessing a static type |
| ClosureExpression | Represents a closure expression such as { statement } or { i -> statement } or { i, x, String y -> statement } |
| ClosureListExpression | This class represents a list of expressions used to create closures. |
| ConstantExpression | Represents a constant expression such as null, true, false |
| ConstructorCallExpression | A constructor call |
| DeclarationExpression | Represents one or more local variables. |
| ElvisOperatorExpression | Represents a short ternary expression x ? |
| EmptyExpression | This class is a place holder for an empty expression. |
| Expression | Represents a base class for expressions which evaluate as an object |
| FieldExpression | Represents a field access such as the expression "this.foo". |
| GStringExpression | Represents a String expression which contains embedded values inside it such as "hello there ${user} how are you" which is expanded lazily |
| ListExpression | Represents a list expression [1, 2, 3] which creates a mutable List |
| MapEntryExpression | Represents an entry inside a map expression such as 1 : 2. |
| MapExpression | Represents a map expression [1 : 2, "a" : "b", x : y] which creates a mutable Map |
| MethodCallExpression | A method call on an object or class |
| MethodPointerExpression | Represents a method pointer on an object such as foo. |
| NamedArgumentListExpression | Represents one or more arguments being passed into a method by name |
| NotExpression | @author sam |
| PostfixExpression | Represents a postfix expression like foo++ or bar++ |
| PrefixExpression | Represents a prefix expression like ++foo or --bar |
| PropertyExpression | Represents a property access such as the expression "foo.bar". |
| RangeExpression | Represents a range expression such as for iterating. |
| SpreadExpression | Represents a spread expression *x in the list expression [1, *x, 2]. |
| SpreadMapExpression | Represents a spread map expression *:m in the map expression [1, *:m, 2, "c":100] or in the method invoke expression func(1, *:m, 2, "c":100). |
| StaticMethodCallExpression | A static method call on a class |
| TernaryExpression | Represents a ternary expression (booleanExpression) ? |
| TupleExpression | Represents a tuple expression {1, 2, 3} which creates an immutable List |
| UnaryMinusExpression | @author sam |
| UnaryPlusExpression | @author Paul King |
| VariableExpression | Represents a local variable name, the simplest form of expression. e.g. "foo". |
Copyright © 2003-2013 The Codehaus. All rights reserved.


Follow these steps to set up local autocomplete for Python in PyCharm:
- Open a project directory, generated by the CLI, with PyCharm and wait for the project to load.
- Wait for PyCharm to index all packages and autocomplete starts working.
- Update your project to include the required imports.


| Opcode* | Instruction | Op/En | 64-Bit Mode | Compat/Leg Mode | Description |
|---|---|---|---|---|---|
| 0F A4 /r ib | SHLD r/m16, r16, imm8 | MRI | Valid | Valid | Shift r/m16 to left imm8 places while shifting bits from r16 in from the right. |
| 0F A5 /r | SHLD r/m16, r16, CL | MRC | Valid | Valid | Shift r/m16 to left CL places while shifting bits from r16 in from the right. |
| 0F A4 /r ib | SHLD r/m32, r32, imm8 | MRI | Valid | Valid | Shift r/m32 to left imm8 places while shifting bits from r32 in from the right. |
| REX.W + 0F A4 /r ib | SHLD r/m64, r64, imm8 | MRI | Valid | N.E. | Shift r/m64 to left imm8 places while shifting bits from r64 in from the right. |
| 0F A5 /r | SHLD r/m32, r32, CL | MRC | Valid | Valid | Shift r/m32 to left CL places while shifting bits from r32 in from the right. |
| REX.W + 0F A5 /r | SHLD r/m64, r64, CL | MRC | Valid | N.E. | Shift r/m64 to left CL places while shifting bits from r64 in from the right. |
| Op/En | Operand 1 | Operand 2 | Operand 3 | Operand 4 |
| MRI | ModRM:r/m (w) | ModRM:reg (r) | imm8 | NA |
| MRC | ModRM:r/m (w) | ModRM:reg (r) | CL | NA |
The SHLD instruction is used for multi-precision shifts of 64 bits or more.
The instruction shifts the first operand (destination operand) to the left the number of bits specified by the third operand (count operand). The second operand (source operand) provides bits to shift in from the right (starting with bit 0 of the destination operand).
The destination operand can be a register or a memory location; the source operand is a register. The count operand is an unsigned integer that can be stored in an immediate byte or in the CL register. If the count operand is CL, the shift count is the logical AND of CL and a count mask. In non-64-bit modes and default 64-bit mode; only bits 0 through 4 of the count are used. This masks the count to a value between 0 and 31. If a count is greater than the operand size, the result is undefined.
If the count is 1 or greater, the CF flag is filled with the last bit shifted out of the destination operand. For a 1-bit shift, the OF flag is set if a sign change occurred; otherwise, it is cleared. If the count operand is 0, flags are not affected.
In 64-bit mode, the instruction’s default operation size is 32 bits. Using a REX prefix in the form of REX.R permits access to additional registers (R8-R15). Using a REX prefix in the form of REX.W promotes operation to 64 bits (upgrading the count mask to 6 bits). See the summary chart at the beginning of this section for encoding data and limits.
IF (In 64-Bit Mode and REX.W = 1) THEN COUNT ← COUNT MOD 64; ELSE COUNT ← COUNT MOD 32; FI SIZE ← OperandSize; IF COUNT = 0 THEN No operation; ELSE IF COUNT > SIZE THEN (* Bad parameters *) DEST is undefined; CF, OF, SF, ZF, AF, PF are undefined; ELSE (* Perform the shift *) CF ← BIT[DEST, SIZE – COUNT]; (* Last bit shifted out on exit *) FOR i ← SIZE – 1 DOWN TO COUNT DO Bit(DEST, i) ← Bit(DEST, i – COUNT); OD; FOR i ← COUNT – 1 DOWN TO 0 DO BIT[DEST, i] ← BIT[SRC, i – COUNT + SIZE]; OD; FI; FI;
If the count is 1 or greater, the CF flag is filled with the last bit shifted out of the destination operand and the SF, ZF, and PF flags are set according to the value of the result. For a 1-bit shift, the OF flag is set if a sign change occurred; otherwise, it is cleared. For shifts greater than 1 bit, the OF flag is undefined. If a shift occurs, the AF flag is unde-fined. If the count operand is 0, the flags are not affected. If the count is greater than the operand size, the flags are undefined.
| #GP(0) |
If the destination is located in a non-writable segment. If a memory operand effective address is outside the CS, DS, ES, FS, or GS segment limit. If the DS, ES, FS, or GS register contains a NULL segment selector. |
| #SS(0) | If a memory operand effective address is outside the SS segment limit. |
| #PF(fault-code) | If a page fault occurs. |
| #AC(0) | If alignment checking is enabled and an unaligned memory reference is made while the current privilege level is 3. |
| #UD | If the LOCK prefix is used. |
| #GP | If a memory operand effective address is outside the CS, DS, ES, FS, or GS segment limit. |
| #SS | If a memory operand effective address is outside the SS segment limit. |
| #UD | If the LOCK prefix is used. |
| #GP(0) | If a memory operand effective address is outside the CS, DS, ES, FS, or GS segment limit. |
| #SS(0) | If a memory operand effective address is outside the SS segment limit. |
| #PF(fault-code) | If a page fault occurs. |
| #AC(0) | If alignment checking is enabled and an unaligned memory reference is made. |
| #UD | If the LOCK prefix is used. |
Same exceptions as in protected mode.
| #SS(0) | If a memory address referencing the SS segment is in a non-canonical form. |
| #GP(0) | If the memory address is in a non-canonical form. |
| #PF(fault-code) | If a page fault occurs. |
| #AC(0) | If alignment checking is enabled and an unaligned memory reference is made while the current privilege level is 3. |
| #UD | If the LOCK prefix is used. |


@* * Copyright 2017 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @()(implicit userProfile: uk.gov.hmrc.epaye.connectors.UserProfile, authContext: uk.gov.hmrc.play.frontend.auth.AuthContext, lang: Lang, messages: Messages) @import views.html.helpers.portalUrl
@Messages("epaye.account.summary.generic.error.1")
@Html(Messages("account.summary.generic.error.refresh", "", ""))


|
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
public interface EntityFeature
Description: A characteristic of a physical entity that can change while the entity still retains its biological identity.
Rationale: Two phosphorylated forms of a protein are strictly speaking different chemical molecules. It is, however, standard in biology to treat them as different states of the same entity, where the entity is loosely defined based on sequence. Entity Feature class and its subclassses captures these variable characteristics. A Physical Entity in BioPAX represents a pool of molecules rather than an individual molecule. This is a notion imported from chemistry (SeePhysicalEntity
). Pools are defined by a set of
Entity Features in the sense that a single molecule must have all of the features in the set in order to be
considered a member of the pool. Since it is impossible to list and experimentally test all potential features for
an entity, features that are not listed in the selection criteria is neglected Pools can also be defined by the
converse by specifying features that are known to NOT exist in a specific context. As DNA,
RNA and Proteins can be hierarchically organized into families based on sequence homology so can entity features.
The memberFeature property allows capturing such hierarchical classifications among entity features.
Usage: Subclasses of entity feature describe most common biological instances and should be preferred whenever
possible. One common use case for instantiating entity feature is, for describing active/inactive states of
proteins where more specific feature information is not available.
Examples: Open/close conformational state of channel proteins, "active"/"inactive" states,
excited states of photoreactive groups.
| Field Summary |
|---|
| Fields inherited from interface org.biopax.paxtools.model.BioPAXElement |
|---|
UNKNOWN_DOUBLE, UNKNOWN_FLOAT, UNKNOWN_INT |
| Method Summary | |
|---|---|
void |
addMemberFeature(EntityFeature entityFeature)
An entity feature that belongs to this homology grouping. |
boolean |
atEquivalentLocation(EntityFeature that)
|
EntityReference |
getEntityFeatureOf()
Inverse of EntityReference.getEntityFeature() |
SequenceLocation |
getFeatureLocation()
Location of the feature on the sequence of the interactor. |
SequenceRegionVocabulary |
getFeatureLocationType()
A controlled vocabulary term describing the type of the sequence location such as C-Terminal or SH2 Domain. |
java.util.Set<PhysicalEntity> |
getFeatureOf()
Inverse of PhysicalEntity.getFeature()
Contents of this set is generated automatically and should not be modified. |
java.util.Set<EntityFeature> |
getMemberFeature()
An entity feature that belongs to this homology grouping. |
java.util.Set<EntityFeature> |
getMemberFeatureOf()
Reverse of getMemberFeature() |
java.util.Set<PhysicalEntity> |
getNotFeatureOf()
Inverse of PhysicalEntity.getNotFeature()
Contents of this set is generated automatically and should not be modified. |
void |
removeMemberFeature(EntityFeature entityFeature)
An entity feature that belongs to this homology grouping. |
void |
setFeatureLocation(SequenceLocation sequenceLocation)
Location of the feature on the sequence of the interactor. |
void |
setFeatureLocationType(SequenceRegionVocabulary regionVocabulary)
A controlled vocabulary term describing the type of the sequence location such as C-Terminal or SH2 Domain. |
| Methods inherited from interface org.biopax.paxtools.model.level3.Observable |
|---|
addEvidence, getEvidence, removeEvidence |
| Methods inherited from interface org.biopax.paxtools.model.level3.Level3Element |
|---|
addComment, getComment, removeComment |
| Methods inherited from interface org.biopax.paxtools.model.BioPAXElement |
|---|
equivalenceCode, getAnnotations, getModelInterface, getRDFId, isEquivalent |
| Method Detail |
|---|
EntityReference getEntityFeatureOf()
EntityReference.getEntityFeature()
java.util.Set<PhysicalEntity> getFeatureOf()
PhysicalEntity.getFeature()
Contents of this set is generated automatically and should not be modified.
java.util.Set<PhysicalEntity> getNotFeatureOf()
PhysicalEntity.getNotFeature()
Contents of this set is generated automatically and should not be modified.
SequenceLocation getFeatureLocation()
void setFeatureLocation(SequenceLocation sequenceLocation)
sequenceLocation
- of the featureSequenceRegionVocabulary getFeatureLocationType()
void setFeatureLocationType(SequenceRegionVocabulary regionVocabulary)
regionVocabulary
- A CV term describing the location of the featurejava.util.Set<EntityFeature> getMemberFeature()
void addMemberFeature(EntityFeature entityFeature)
entityFeature
- An entity feature that belongs to this homology grouping.void removeMemberFeature(EntityFeature entityFeature)
entityFeature
- An entity feature that belongs to this homology grouping.boolean atEquivalentLocation(EntityFeature that)
that
- EntityFeature to be compared
java.util.Set<EntityFeature> getMemberFeatureOf()
getMemberFeature()
|
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


Obtains the amplitudes P and the positions i_P of the negative peaks, cycle by cycle, of the input voice. It also returns the peak signal containing the peaks found in the analysis section. Input parameters vSignal: is a column vector containing the complete speech signal iFs: is the sampling frequency iInicio: is the beginning sample iFinal: is the last sample T: is the sequence of pitch period values (in samples) calculated on windows of duration 3To without overlap, where To is the pitch period in samples from the previous segment, and 34ms the duration of the first window, as Boyanov does. It is the result of applying the CalculatePitch function using the Boyanov method Output parameters: P: amplitudes of negative peaks, cycle to cycle, of a speech signal i_P: negative peak positions, cycle by cycle, of a speech signal picos: signal that contains the peaks found (of equal duration to vSignal)


This is a simple Tab class to illustrate how to use moo4q (mootools for jQuery.) It has a handful of methods for creating a basic tab plugin. Moo4q automatically extends the jQuery prototype with a tab method so using the plugin has a familiar syntax:
// jQuery API
$('#pane').tabs(options)
// regular javascript
var myTabs = new Tabs('#pane', options);
Looking at the source is the best way to see what's going on, it's full of comments too. But this page also has some good information as you click through the tabs.
Think of options as "defaults" or "settings" of regular jQuery plugins. If you don't provide any, your instance will use the default options. You pass the options in to a moo4q class the same as a regular plugin:
$('#pane').tabs({
tab: 'a',
content: '.section'
});
MooTools classes can have their own custom events. This class has a show
event. In jQuery they are often called "callbacks." This tab instance added an event like this: #('#pane').tabs('addEvent','show', fn)
, and the function toggles the class the of the body, you'll notice the background color changes as you click through the tabs.


The first spring day in the Netherlands is defined by the KNMI as the first day of the year on which the maximum temperature exceded 15 degrees celsius.


Contents
-
Immigrated from Czechoslovakia --> U.S.
> Graduated in 2006
-
Certified Taekwondo Instructor
-
Czechoslovakia --> Communist
-
Communism had poor economic conditions
In 1993 Czechoslovakia split -->
-
Czech Republic --> Democratic
-
Slovakia
- Tone
- Attitude towards subject
- Perseverance
- Determination
- System
- Rules, punishments, connected to the communist rule
- Border guard
- Soldier who prevents people from crossing border.
- Glistened
- Shone brightly
- Refugee Center
- Temporary place to stay for refugees
- Recertification
- To recertify
- Indomitable
- Unable to be overcome
- Boundless
- Without limits
-
They wanted a better a life for their children; They were tired of living under the communistic government. They didn't want their children to live in a life of poverty and hardship. As his parents said it, they didn't want their children to grow up being "prisoners."
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At first, the plan was for the author to claim he had an ear infection and had to go to an appointment with his doctor at Austria. They refused to give up because, the dreams of freedom in America was too strong.
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Originally their plan was to leave via the border, but now they will just hike through the alps instead. The new plan was more insane than the first one. In the original plan, they could travel with comfort in their car and carry a lot of things. However, in the new plan, they would have less comfort and wouldn't be able to afford to carry a lot of things.
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They faced the problem of poverty in the early days. They had to fight their landlord, and they also had to learn a new language. On top of that, they also had to recertify for their jobs. I think the message that the author is trying to convey is that the perseverance will be worth it in the very end, and also that you must not lose hope as you preserve through all your hardship.
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It says that he is very hopeful about moving to the United States. They are also eager to reach their dreams any way possible.
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They made a wise decision, because in the end it was worth it. They became a successful family and had a happy life in the United States.
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I think his overall tone is appropriate, he was very hopeful about moving to the United States. He paints a picture of hope and perseverance, but he also paints a picture of fear and danger when he was comparing and contrasting.
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He was celebrating and appreciating his parents' perseverance. He was also reflecting how that perseverance got his whole family into a better place. His overall tone was a joyful one.
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The first tone was similar to 'light at the end of the tunnel' it was evident in here where the author wrote, "Feeling hopeless they decided to take one last chance, which would be difficult." The second tone was the celebrating tone, "'Perseverance made the difference between success and defeat,' and I am glad it did." This tone was like the tone that someone would have when they are looking back to their hard times and how they finally succeed in the end.
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To explain and frighten.


{% extends "joinJob.html" %} {% load static %} {% block head_title %}{{ block.super }} :: Join us :: Software Developer{% endblock %} {% block page_title %}Biomedical Software Developer in whole-cell modeling{% endblock %} {% block page_pdf %}{% endblock %} {% block job_details %}
The software developer will be responsible for developing a software platform for large-scale dynamical modeling including:
The software developer will work closely with scientists to develop the whole-cell modeling platform in conjunction with new models of humans and bacteria.
The ideal candidate has the following skills. Applicants with deep experience in related fields are also encouraged to apply.