{% extends "layout.html" %} {% block page_title %} GOV.UK prototyping kit {% endblock %} {% block content %} {% include "includes/phase_banner.html" %} Benefit debt repayment prototype Beta stages Beta 5 Beta 4 Beta 3 Beta 2 Beta Resources GOV.UK kit documentation Guide to GOV.UK elements HTML Service design manual Government Digital Service Design Principles {% endblock %}


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I think it affects me that process is allow me to experimenting new things so that I don't really mind if my code expriment fail but at least I learn along the process.
As I usually did with my meditation is I train to balancing my mind, relaxing my mind as well as being alert of my body. Due to the movement of QiGong that I usually do.
The things that I learnt is that there is a scientific reason behind it, so it can be easily understood by people who doesn't usually do meditation.
I think traditional buddhism meditation is stand out for me. Which is interesting that there is a scientific research behind this traditional method.
I do think that every workplace needs to have meditation time for the employee. Which I think they will have a better performance in the workplace, as they will have calmer mind


Source code for HRinst
[docs]def HRinst(dataset, secperunit=60, peak_threshold=98, filt=True):
"""
Takes the input data of the time and voltage to convert it into an array
with time and instantaneous heart rate.
:param dataset: (tuple) Two elements, each a 1xN ndarray for time and
voltage values respectively
:param secperunit: (int or double) Conversion from unit of time ndarray
to seconds
:param peak_threshold: (double) percentage of maximum peak to set
thresholding
:param filt: (boolean) true if user wants to filter data, false if not
:returns: (ndarray) 2 columns. First column with time in s, second column
with heart rate in BPM. Each element in the ndarray is a float.
"""
import numpy as np
from scipy import stats
time = dataset[:][0]
voltage = dataset[:][1]
if filt:
voltage = data_filter(voltage)
thresholded = stats.threshold(voltage,
np.percentile(voltage, peak_threshold))
hrinst = np.zeros(len(thresholded))
is_increasing = np.roll(thresholded, 1) <= thresholded
will_decrease = np.roll(thresholded, -1) < thresholded
is_maximum = is_increasing * will_decrease
peakInd = np.asarray(np.where(is_maximum))
for i, val in enumerate(thresholded):
peaks = peakInd[peakInd < i]
if i > peakInd[0][1]:
hrinst[i] = \
secperunit / (time[int(peaks[-1])] - time[int(peaks[-2])])
else:
hrinst[i] = 0
hrinst[-1] = hrinst[-2]
return hrinst
[docs]def data_filter(voltage, num_coef=8, hfreq=0.125, lfreq=0.0125):
'''
Filter the data using a band pass filter to smooth corners out and
remove baseline drift
:param voltage: (ndarray) of size 1xN with the voltage values
:param num_coef: (int) order of the filter
:param hfreq: (double) critical high frequency
:param lfreq: (double) critical low frequency
:return: (ndarray) of size 1xN with filtered voltage values
'''
from scipy import signal
b, a = signal.butter(num_coef, hfreq, btype='low')
c, d = signal.butter(num_coef, lfreq, btype='High')
low_filt = signal.filtfilt(b, a, voltage)
band_filt = signal.filtfilt(c, d, low_filt)
return band_filt


Features:
- Responsive web design
- IoC are used in 2 ways
- Generate inputs files based on selection
- Save output files into db(Product only, others similar)
- Database project is included, so is *.mdf file. Out of box it uses LocalDB
- SSIS project is used to populate db with initial data
Notes:
- Not all required features or improvements I'd like to have are implemented because I ran out of time
- There are some comments in the code, explain my thoughts
- I feel City is not actually used, so didn't implement it
- Unit test are not implemented


Artist
Léonard Vinci
Software Developer
Dashboard
Finance
Analytics
Calendar
Contacts
Ecommerce
Mailbox
Tasks
Authentication
Pricing
3,4
Total follwers
19,876
Total likes
212,876
Total comments


Feng Lab
Home
Research
Publications
(current)
People
Photos
Contact
Feng Lab Publications
Publications from the lab are listed below using the
Semantic Scholar
API.


Stories for Joseph Kim
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An introduction and setup for the backend portion of our FullStack App!
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The road to becoming a software developer is a long and difficult one, especially for individuals like me who…
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Scroll - The basic:
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In this article, I will cover my migration progress between all three languages and explain why and what…
Kevin Lanthier in ITNEXT 11 min read
As sites like Tumblr perform mass purges, archivists are fighting a losing battle to save disappearing parts…
Elena Cresci in OneZero 6 min read


G6PD Deficiency
Most of the information is automatically extracted. I keep adding more information and improving this tool. Every piece of information includes a link to its sources, I'm not responsible for their accuracy.
If you have any suggestions feel free to send me an email at
<EMAIL_ADDRESS>.
Close this
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NA MEETING LIST ADMINISTRATOR
NA Meeting List Administrator is an iOS app for the BMLT that is an administrative expression of the BMLTiOSLib Communication Framework.
This app is designed to allow BMLT Meeting List Administrators to perform routine meeting list administrative tasks on their iPhone or iPad.
Complete instructions are available on this Web page.
REQUIREMENTS
The app requires that the iPhone or iPad have an active, persistent Internet connection.
In order to use the “What Meeting Am I At?” functionality, the app will require a GPS signal, and permission to determine your location.
The app itself requires iOS 10.0 or above, and administrative access to at leat one BMLT Root Server Version 2.8.12 or above.
It also requires the Root Server to be running SSL (HTTPS), and that the Root Server have Semantic Administration enabled.
If any of the above conditions are not met, the Root Server URL will be declared “invalid,” and the app will refuse to connect to the Server.
Once connected, the user must have a valid login to that Server. If using a modern iPhone or iPad (with Touch ID or Face ID), then biometric login will be available.
The user must have at least one Service Body Administrator login to the Root Server with rights to edit meetings. Even a Service Body Admin will not be allowed to log in, if they are not authorized to edit meetings.
Observers and Server Administrators cannot log in. Observers do not have sufficient privileges to use the app, and we exclude the Server Administrator for security reasons (also, it is improper to use the Server Administrator account for routine meeting list administration).
Each login is limited to only those meetings/Service bodies for which they have editor rights. Meetings for which they don’t have edit rights will not be accessible to, or displayed in, the app.
LICENSE
The NA Meeting List Administrator app uses the MIT License.
TODO
The editor/new meeting screen needs to be refactored. Currently, they are indicated in the IB file as huge, unwieldy views. They need to be broken into multiple individual IB files, and stitched together at runtime.
CHANGELIST
**Version <IP_ADDRESS>00 ** - December 28, 2019
- No changes. App Store release.
**Version <IP_ADDRESS>2 ** - December 24, 2019
- More localization fixes.
**Version <IP_ADDRESS>1 ** - December 19, 2019
- Danish translation issues fixed.
**Version <IP_ADDRESS>0 ** - December 13, 2019
- Fixed a bug, in which the app could crash after committing a meeting change.
**Version <IP_ADDRESS>00 ** - September 24, 2019
- Cosmetic/Usability fix for dark mode, in iOS13.
**Version <IP_ADDRESS>01 ** - September 16, 2019
- No changes. Apple wanted me to re-release, using the latest RC of Xcode.
**Version <IP_ADDRESS>00 ** - September 15, 2019
- App Store release.
**Version <IP_ADDRESS>0 ** - August 24, 2019
- Switched the BMLTiOSLib to use Carthage.
- Updated to latest Swift and Xcode versions.
- The project now requires iOS 11.
- Updated to the latest version of Swift.
- Improved the appearance of the launch screen.
- Improved the behavior of the layout on X-phones.
- Improved documentation for 100% Jazzy docs.
- Switched to MIT License.
**Version <IP_ADDRESS>00 ** - January 10, 2019
- No changes. App Store release.
**Version <IP_ADDRESS>4 ** - December 28, 2018
- Added new BMLTiOSLib, with date fix.
**Version <IP_ADDRESS>2 ** - December 27, 2018
- Simplified the Info string localization.
- Added the Italian localization for Face ID.
- Added a fixed version of BMLTiOSLib that addresses a bug in setting duration.
**Version <IP_ADDRESS>1 ** - December 27, 2018
- Added Danish traslation
- Converted to newest Xcode and Swift 4.2
- Added support for the new Face ID description string.
**Version <IP_ADDRESS>00 ** - April 3, 2018
- No changes. Release to App Store.
**Version <IP_ADDRESS>6 ** - April 2, 2018
- Added an “invisible” parameter to the server calls, so that TOMATO will know that its being called by BMLTiOSLib apps.
- Updated to Xcode 9.3/Swift 4.1
- Bumped the version to 2006 to maintain with the other two apps.
**Version <IP_ADDRESS>3 ** - February 21, 2018
- I switched off the animation for the “keyboard nudge.” It caused an annoying little “hiccup.”
- The “Where Am I” button should be hidden if there are no location manager services enabled.
**Version <IP_ADDRESS>2 ** - February 21, 2018
- The keyboard size calculation wasn’t quite right. This has been fixed.
**Version <IP_ADDRESS>1 ** - February 20, 2018
- There was a coding error in the new code (the offset was being set when it shouldn’t). That should be fixed now.
**Version <IP_ADDRESS>0 ** - February 20, 2018
- Added code to make sure that the edit item is always available when the keyboard pops up.
**Version <IP_ADDRESS>00 ** - February 18, 2018
- No changes -released to App Store.
**Version <IP_ADDRESS>7 ** - February 18, 2018
- Added a “Logged In As” message for users that have multiple stored logins.
**Version <IP_ADDRESS>6 ** - February 17, 2018
- I fixed an issue where the keyboard would appear inappropriately when disconnecting.
- Tweaked .swiftlint.yml slightly.
- Fixed a bug, where the last login was not being saved correctly. This manifested in the Service body selection not being separated, and the last login not being properly selected in the picker.
- Made the stored login picker larger for better usability.
- Made the service body search specification a bit more efficient (under the hood).
**Version <IP_ADDRESS>5 ** - February 16, 2018
- Tweaked the README a bit.
- It was possible for stored logins to be displayed if there was no Touch/Face ID. This has been fixed.
- Fixed a couple of rather nasty bugs, where the two buttons at the top of the connected screen crashed. This was caused by my “code cleanup.”
- Added a filter to make sure that only editable meetings are listed.
**Version <IP_ADDRESS>4 ** - February 16, 2018
- Fixed an issue where, sometimes, the manual login items were not being properly displayed when returning to the login screen, and it was set to “MANUAL LOGIN”.
- Fixed an issue where the MANUAL LOGIN was selected upon startup, when it should have been a stored login.
**Version <IP_ADDRESS>3 ** - February 16, 2018
- Addressed an issue, where the keyboard would pop up when returning to the “LOG OUT” screen after a manual login.
- Stop the “flash” of the picker reverting to an old value, just before login.
- Made the “MANUAL LOG IN” string simply “LOG IN” when Touch ID/Face ID isn’t supported, or we don’t have stored logins for the server.
- Now store logins, even if Touch/Face ID isn’t available, as it helps when phones are upgraded, or the user decides to enable Face ID after the fact.
**Version <IP_ADDRESS>2 ** - February 15, 2018
- I changed the keychain access library, as FXKeychain is no longer supported.
- I fixed a bug, where stored IDs were being nuked.
**Version <IP_ADDRESS>1 ** - February 14, 2018
- Fixed a couple of bugs in the new saved login system.
**Version <IP_ADDRESS>0 ** - February 14, 2018
- Apple suddenly changed course on displaying Touch ID/Face ID icons. I now have to remove them, so that means that we now immediately go into Touch/Face ID.
**Version <IP_ADDRESS>00 ** - February 12, 2018
- Added Italian location files for testing.
**Version <IP_ADDRESS>6 ** - January 7, 2018
- This fixes the final issue with weeks that start on non-Sunday.
**Version <IP_ADDRESS>5 ** - January 7, 2018
- There were several issues that the non-Sunday day of week caused. These have been addressed, with the exception of one: The sort still keys on Sunday. That will be fixed in the next release.
**Version <IP_ADDRESS>4 ** - January 7, 2018
- Added the basic Swedish localization.
**Version <IP_ADDRESS>3 ** - January 7, 2018
- Fixed an issue, exposed by the Italian translation, where weeks not beginning on Sunday caused a crash.
**Version <IP_ADDRESS>2 ** - January 5, 2018
- Added the Reveal framework Cocoapod.
- Added Italian localization.
**Version <IP_ADDRESS>1 ** - December 13, 2017
- Simply updated to the latest BMLTiOSLib.
**Version <IP_ADDRESS>0 ** - December 12, 2017
- Moved FXKeychain to a Cocoapod.
- Added the SwiftLint Cocoapod.
- Updated the BMLTiOSLib to use the new SwiftLint-approved version.
- Many fixes to satisfy SwiftLint.
- Updated the LICENSE.txt file to reflect the new pods reality.
**Version <IP_ADDRESS>00 ** - December 9, 2017
- Work to make the editor a bit more efficient.
- Spruced up this README.
- First submit for review.
**Version <IP_ADDRESS>2 ** - December 8, 2017
- It looks like I may have figured out what was causing the occasional hangs after editing. We’ll see…
**Version <IP_ADDRESS>1 ** - December 7, 2017
- Apple’s site wasn’t updated to accept the new binaries, which forced me to wait a couple of days, and try again. This release has no change from .2000.
**Version <IP_ADDRESS>0 ** - December 5, 2017
- I decided to go “full pod” on this, and installed the CocoaPod completely (as opposed to simply including the submodule and building the files directly).
**Version <IP_ADDRESS>02 ** - December 5, 2017
- Tweaked for Xcode 3.2.
- Added some code to try making the app a bit more robust. Hopefully, it was totally unnecessary…
**Version <IP_ADDRESS>01 ** - December 2, 2017
- This has minor format changes to fix a slight misalignment of the State and Nation text fields in the editor and new meeting screens.
**Version <IP_ADDRESS>00 ** - November 30, 2017
- The map was still resetting its span when the user finishes dragging the marker. That should no longer happen.
**Version <IP_ADDRESS>00 ** - November 23, 2017
- Fixed a crash when a bad URI is provided. This is going straight to the App Store. It was a VERY safe fix.
**Version <IP_ADDRESS>00 ** - November 18, 2017
- App Store Release.
**Version <IP_ADDRESS>1 ** - November 16, 2017
- Fixed a crash when a meeting is found for “What Meeting am I at?”
**Version <IP_ADDRESS>0 ** - November 15, 2017
- Refactored the project to use the new CocoaPods-structured BMLTiOSLib. This is a big change, so I’m bumping the version, and restarting the beta-testing.
- Added the “Extra Info” field to the address section. The fact it was missing was a bug on my part.
- The comments field in the editor now has a white background. The clear background caused user confusion.
- Fixed an issue where the background color for unpublished meetings was not alwas being set properly.
**Version <IP_ADDRESS>2 ** - October 27, 2017
- Tweaked the colors on the TouchID and FaceID buttons.
- Tweaked the display text on the error messages for biometric fail.
**Version <IP_ADDRESS>1 ** - October 26, 2017
- Added support for detecting FaceID in iPhone X.
**Version <IP_ADDRESS>0 ** - October 18, 2017
- Added code to the meeting editor to avoid it resetting the map every time you move the marker.
**Version <IP_ADDRESS>00 ** - September 19, 2017
- Release of 1.1.0
**Version <IP_ADDRESS>0 ** - September 13, 2017
- The location lookup is more accurate.
- Added some basic fixes to make the app more responsive.
- Compiled for iOS 11.
- Fixed an issue where TouchID failures can crash the app (“Bad Touch”).
- Slight update for latest Xcode.
- Added a pointer to the documentation page on the BMLT site.
- First beta test.
**Version <IP_ADDRESS>00 ** - March 14, 2017
- First App Store release.
**Version <IP_ADDRESS>7 ** - March 9, 2017
- Fixed a crash when restoring deleted meetings.
**Version <IP_ADDRESS>6 ** - March 9, 2017
- Fixed a crash that could happen if a meeting had an empty history.
**Version <IP_ADDRESS>5 ** - March 8, 2017
- Fixed a bug, where it was possible to cause the app to lock up if you quickly switch to Deleted while current is loading.
- I now make sure we disconnect after ten seconds away from the foreground.
**Version <IP_ADDRESS>4 ** - March 8, 2017
- Tweaked the parameters for the URI text entry, so the proper keyboard shows up, and no correction is performed.
- Make sure the header of an edited meeting (NavBar) is the correct color to match the published status.
- Ensure that deleted meetings with bad weekday indexes (bad data) don’t get displayed.
- Now hide the Deleted NavBar as well while fetching deleted meetings.
**Version <IP_ADDRESS>3 ** - March 8, 2017
- Fixed a crash in the history view.
**Version <IP_ADDRESS>2 ** - March 8, 2017
- Fixed a possible crash that could be caused by bad history.
- Fixed a sorting issue with the list view.
- Fixed some issues with the last item in the list and deleted tables being hidden behind the tab bar.
**Version <IP_ADDRESS>1 ** - March 7, 2017
- Fixed a case-sensitivity issue with the asset catalog. This resulted in the checkmarks not displaying correctly.
- Made sure that the various checkboxes are perfectly round.
- Simplified the way the initial URI is stored. This will help prevent “crosstalk.”
- Widened the Weekday section of the list a bit.
- Added a couple of separator lines in the list and meeting editor views to make it clear where the scrollable region begins.
- The History list needed alternating background colors.
- Added a callout for getting more details on history events.
**Version <IP_ADDRESS>0 ** - March 6, 2017
- First beta tester release.


Warehouse Keeper Raut:
What, this envelope? It can't be... After so long, and now...?
Oh, my... Please forgive me. It was a thoughtless mistake by my brother when he was young. I apologize for him. Please forgive us this one time.
"I don't understand what's going on."


In a spot of trouble! Nerve-racking moment photographer finds himself face to face with a hissing leopard cub after it comes to take a closer look
by Milly Vincent For Mailonline- The curious 10-month-old cub moved closer to sniff game ranger Dillon Nelson
- Mr Nelson was taking photos at Sabi Sands nature reserve in South Africa
- He froze as the leopard investigated his boot before it let out a warning hiss
This is the moment a wildlife photographer found himself ambushed by a curious leopard cub after it sauntered over to check out his boot.
Game ranger Dillon Nelson was filming a mother leopard and her young daughter when the inquisitive cub decided to get a closer look.
The 10-month-old cub climbed down from a termite mound in Sabi Sands nature reserve, South Africa, and ended up inches away from Mr Nelson.
The photographer froze as the young leopard investigated his boot before staring him down and letting out a defensive hiss.
Mr Nelson, 25, said: 'I work in the area as a game ranger or nature guide and take people out on safari and bush walks.
'We were following a resident female leopard and her 10-month-old cub as they moved through a very dense monkey orange and bush willow thicket.
'She was presumably taking the cub on a walkabout, teaching her some skills about hunting and stalking prey.
'The adult went up on to this termite mound to get a better look at her surroundings, with the youngster following right behind.
'With the cub being quite young and inquisitive she came to investigate what my shoe might be, possibly thinking or hoping it was a scrub hare or squirrel.
'I was quite nervous but more excited than anything else. It's hard to describe how it felt during the sighting because I was trying to keep calm and take in what was happening.
'As I saw her approaching I already knew it was too late for me to move. I thought I should just keep still and allow her to investigate.
'She saw what she needed and then proceeded on her way. Definitely a thrilling experience, and one not many people get to have.'


Burna Boy nominated for Grammy Awards; cancels planned South African concert amidst tension
by Novieku-Babatunde AdeolaNigerian music star, Burna Boy, has been nominated for the 62nd Grammy Awards.
His nomination was announced on the Grammy Awards website after months of deliberation.
Amongst a tall list of local and international contenders, his album, ‘African Giant’ was selected for the Best World Music Album category.
This nomination, his first, places him in the same category as Seun Anikulapo-Kuti, Femi Anikulapo-Kuti and King Ade who have also been nominated for the prestigious award.
According to organisers, the category is for albums containing at least 51 per cent playing time of new vocal or instrumental world music recordings.
Other nominees in the category are; Queen of African music, Angelique Kidjo, renowned Dutch band, Bokante and Metropole Orkest, Haitians, Nathalie Joachim and Spekral Quartet.
Burna Boy has enjoyed a successful year but for some controversial moments. The most notable was his tweet against South Africans in the wake of xenophobic attacks against foreign nationals.
His tweet sparked heated exchanges with rapper A.K.A with the South African artiste suggesting a ban on him performing in the country.
Despite that, he was billed to perform at the “African Unite” concert slated for November 23rd, but the concert was cancelled after Burna Boy’s withdrawal.
Another rising star who got the nod from the Grammy academy is South African comedian, Trevor Noah. His stand-up special, ‘Trevor Noah: Son of Patricia’ was nominated for Best Comedy Album. It will contend against the likes of talk show host giant Ellen DeGeneres as well as Dave Chappelle.
The winners of the categories will be announced at the event slated for Sunday, January 26th, 2020.
See reactions below:


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WITNESS LIST Revenue & Public Education Funding, Select Committee April 4, 1997-9:00A School Finance- General On: Anderson, David (TEA) Dunn, David (LBB) Hollingsworth, Lonnie (TCTA) Wisnoski, Joe (TEA) School Finance- Proposal On: Hougland, Eric (TX Legislative Council)


Project Description
This project was a group collaboration in a prototyping class that mandated feature-complete game prototypes within a 1-2 week span. This was our final submission, built in Unity and presented before a panel of industry guests.
Because the group was larger than usual, we split off into different roles. I took on level design, building the experience that the player would have by designing the possible paths, hidden traps, and potential solutions and hints that would contain the average engagement time to about 10-15 minutes.
Team members: Jacob Schoenfeld, Runshi Gu, Michelle Olson, Tre Lannon, Allbright Dsouza, Geneva Huynh.
A Closer Look
You can find the code here.
You can download the game here.
Features
Guiding Lights
Because of In Another Life's film noir-esque theme, the use of light versus the highly prevalent darkness of the visuals helped establish a sense of direction as well as danger. In order to guide players towards possible routes, lamps and streetlights were strategically along various paths to catch the eye and draw attention to these places.
Streetlights, along with their accompanying sound effect, signify checkpoints that the player has safely reached by turning on and illuminating the space once the player is in range. Lamps, however, respond to player proximity by turning off, warning of imminent death from nearby concealed traps.
Wind-Blower Mechanic
The wind-blowers have no effect on the player on their own, but will activate when the player is nearby. Ghosts that happen to be in range will be buffeted by the winds, which can have fatal consequences if the player is relying on them as a platform above danger.
On the other hand, they can also be exploited in other locations, where riding ghosts above a current rewards observant players with an extremely quick mode of transport over long distances.
Traps
Some of the traps built into the game include hidden arrows, shifting walls, and endless falls into a bed of spikes. The amount of traps as well as the difficulty of bypassing them increases as the floor level increases, demanding better maneuvering around obstacles and ghosts in order to cross over. If sheer memory is not enough to recall all of the hazardous locations, then the lingering ghost mechanic offers a visual reminder of the player's place of death and hopefully offers them a way to avoid it on the next round.


--- title: Node.js Asynchronous JavaScript Framework tags: ["Development", "JavaScript", "Node.js"] ---
Node.js is an evented I/O framework for the V8 JavaScript engine. It is intended for writing scalable network programs such as web servers.
Node.js is similar in purpose to Twisted for Python, Perl Object Environment for Perl, and EventMachine for Ruby. Unlike most JavaScript, it is not executed in a web browser, but it is rather related to server-side JavaScript. Node.js implements some CommonJS specifications[1]. Node.js includes a REPL environment for interactive testing.
var sys = require('sys'), http = require('http'); http.createServer(function (request, response) { response.writeHead(200, {'Content-Type': 'text/plain'}); response.end('Hello World\n'); }).listen(8000); sys.puts('Server running at http://<IP_ADDRESS>:8000/');
From Wikipedia.org.


Colspan and rowspan
Cell that spans two columns:
Name
Email
Phone
John Doe
<EMAIL_ADDRESS>123-45-678
212-00-546
Cell that spans two rows:
Name:
John Doe
Email:
<EMAIL_ADDRESS>Phone:
123-45-678
212-00-546
The thead, tbody, and tfoot elements - Styled with CSS
Month
Savings
January
$100
February
$80
Sum
$180
Vertical-align content in tfoot
Month
Savings
January
$100
February
$80
Sum
$180


Chuck Norris doesn't call the wrong number. You answer the wrong phone.
Chuck Norris has been to Mars; that's why there are no signs of life.
Chuck Norris refers to himself in fourth person.?
Chuck Norris once leaned against a tower in Pisa, Italy.
To keep is his mind sharp Chuck Norris plays Tic-Tac-Toe versus himself. He wins every time.
Light is so fast, because it tries to escape Chuck Norris (but that obviously fails)
The average room bears 73658 ways for Chuck Norris to kill you, including just the room itself.


Training Deep Learning Probabilistic Models¶
BayesianTrainer ¶
BayesianTrainer(
model,
objective,
custom_loss_function=None,
optimizer=None,
lr_scheduler=None,
callbacks=None,
metrics=None,
verbose=1,
seed=1,
**kwargs
)
Bases: BaseBayesianTrainer
Class to set the of attributes that will be used during the training process.
Both the Bayesian models and the Trainer in this repo are based on the paper: Weight Uncertainty in Neural Networks.
Parameters:
-
model
(
BaseBayesianModel
) –An object of class
BaseBayesianModel
. See theModel Components
section here in the docs. -
objective
(
str
) –Defines the objective, loss or cost function.
Param aliases:loss_function
,loss_fn
,loss
,cost_function
,cost_fn
,cost
Possible values are: 'binary', 'multiclass', 'regression' -
custom_loss_function
(
Optional[Module]
) –If none of the loss functions available suits the user, it is possible to pass a custom loss function. See for example
pytorch_widedeep.losses.FocalLoss
for the required structure of the object or the Examples folder in the repo. -
optimizer
(
Optimizer
) –An instance of Pytorch's
Optimizer
object(e.g.torch.optim.Adam ()
). if no optimizer is passed it will default toAdamW
. -
lr_scheduler
(
LRScheduler
) –An instance of Pytorch's
LRScheduler
object (e.gtorch.optim.lr_scheduler.StepLR(opt, step_size=5)
). -
callbacks
(
Optional[List[Callback]]
) –List with
Callback
objects. The three callbacks available inpytorch-widedeep
are:LRHistory
,ModelCheckpoint
andEarlyStopping
. This can also be a custom callback. Seepytorch_widedeep.callbacks.Callback
or the Examples folder in the repo. -
metrics
(
Optional[Union[List[Metric], List[TorchMetric]]]
) –- List of objects of type
Metric
. Metrics available are:Accuracy
,Precision
,Recall
,FBetaScore
,F1Score
andR2Score
. This can also be a custom metric as long as it is an object of typeMetric
. Seepytorch_widedeep.metrics.Metric
or the Examples folder in the repo - List of objects of type
torchmetrics.Metric
. This can be any metric from torchmetrics library Examples classification-metrics>_. It can also be a torchmetric custom metric as long as it is an object of type
Metric. See
the instructions
- List of objects of type
-
verbose
(
int
) –Setting it to 0 will print nothing during training.
-
seed
(
int
) –Random seed to be used internally for train_test_split
Other Parameters:
-
**kwargs
–
Other infrequently used arguments that can also be passed as kwargs are:
-
device:
str
string indicating the device. One of 'cpu' or 'gpu' -
num_workers:
int
number of workers to be used internally by the data loaders -
class_weight:
List[float]
This is theweight
orpos_weight
parameter inCrossEntropyLoss
andBCEWithLogitsLoss
, depending on whether -
reducelronplateau_criterion:
str
This sets the criterion that will be used by the lr scheduler to take a step: One of 'loss' or 'metric'. The ReduceLROnPlateau learning rate is a bit particular.
-
Attributes:
-
cyclic_lr
(
bool
) –Attribute that indicates if the lr_scheduler is cyclic_lr (i.e.
CyclicLR
orOneCycleLR
). SeePytorch schedulers <https://pytorch.org/docs/stable/optim.html>
_.
Source code in pytorch_widedeep/training/bayesian_trainer.py
115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 |
|
fit ¶
fit(
X_tab,
target,
X_tab_val=None,
target_val=None,
val_split=None,
n_epochs=1,
validation_freq=1,
batch_size=32,
n_train_samples=2,
n_val_samples=2,
)
Fit method.
Parameters:
-
X_tab
(
np.ndarray
) –tabular dataset
-
target
(
np.ndarray
) –target values
-
X_tab_val
(
Optional[np.ndarray]
) –validation data
-
target_val
(
Optional[np.ndarray]
) –validation target values
-
val_split
(
Optional[float]
) –An alterative to passing the validation set is to use a train/val split fraction via
val_split
-
n_epochs
(
int
) –number of epochs
-
validation_freq
(
int
) –epochs validation frequency
-
batch_size
(
int
) –batch size
-
n_train_samples
(
int
) –number of samples to average over during the training process. See Weight Uncertainty in Neural Networks for details.
-
n_val_samples
(
int
) –number of samples to average over during the validation process. See Weight Uncertainty in Neural Networks for details.
Source code in pytorch_widedeep/training/bayesian_trainer.py
145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 |
|
predict ¶
predict(
X_tab, n_samples=5, return_samples=False, batch_size=256
)
Returns the predictions
Parameters:
-
X_tab
(
np.ndarray
) –tabular dataset
-
n_samples
(
int
) –number of samples that will be either returned or averaged to produce an overal prediction
-
return_samples
(
bool
) –Boolean indicating whether the n samples will be averaged or directly returned
-
batch_size
(
int
) –batch size
Returns:
-
np.ndarray
–array with the predictions
Source code in pytorch_widedeep/training/bayesian_trainer.py
261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 |
|
predict_proba ¶
predict_proba(
X_tab, n_samples=5, return_samples=False, batch_size=256
)
Returns the predicted probabilities
Parameters:
-
X_tab
(
np.ndarray
) –tabular dataset
-
n_samples
(
int
) –number of samples that will be either returned or averaged to produce an overal prediction
-
return_samples
(
bool
) –Boolean indicating whether the n samples will be averaged or directly returned
-
batch_size
(
int
) –batch size
Returns:
-
np.ndarray
–array with the probabilities per class
Source code in pytorch_widedeep/training/bayesian_trainer.py
299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 |
|
save ¶
save(
path,
save_state_dict=False,
model_filename="bayesian_model.pt",
)
Saves the model, training and evaluation history to disk
The Trainer
class is built so that it 'just' trains a model. With
that in mind, all the torch related parameters (such as optimizers or
learning rate schedulers) have to be defined externally and then
passed to the Trainer
. As a result, the Trainer
does not
generate any attribute or additional data products that need to be
saved other than the model
object itself, which can be saved as
any other torch model (e.g. torch.save(model, path)
).
Parameters:
-
path
(
str
) –path to the directory where the model and the feature importance attribute will be saved.
-
save_state_dict
(
bool
) –Boolean indicating whether to save directly the model or the model's state dictionary
-
model_filename
(
str
) –filename where the model weights will be store
Source code in pytorch_widedeep/training/bayesian_trainer.py
344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 |
|


People wishing to submit BIPs, first should propose their idea or document to the<EMAIL_ADDRESS>mailing list. After discussion, please open a PR. After copy-editing and acceptance, it will be published here.
We are fairly liberal with approving BIPs, and try not to be too involved in decision making on behalf of the community. The exception is in very rare cases of dispute resolution when a decision is contentious and cannot be agreed upon. In those cases, the conservative option will always be preferred.
Having a BIP here does not make it a formally accepted standard until its status becomes Final or Active.
Those proposing changes should consider that ultimately consent may rest with the consensus of the Bitcoin users (see also: economic majority).
| Number | Layer | Title | Owner | Type | Status |
|---|---|---|---|---|---|
| 1 | BIP Purpose and Guidelines | Amir Taaki | Process | Replaced | |
| 2 | BIP process, revised | Luke Dashjr | Process | Active | |
| 8 | Version bits with lock-in by height | Shaolin Fry | Informational | Draft | |
| 9 | Version bits with timeout and delay | Pieter Wuille, Peter Todd, Greg Maxwell, Rusty Russell | Informational | Final | |
| 10 | Applications | Multi-Sig Transaction Distribution | Alan Reiner | Informational | Withdrawn |
| 11 | Applications | M-of-N Standard Transactions | Gavin Andresen | Standard | Final |
| 12 | Consensus (soft fork) | OP_EVAL | Gavin Andresen | Standard | Withdrawn |
| 13 | Applications | Address Format for pay-to-script-hash | Gavin Andresen | Standard | Final |
| 14 | Peer Services | Protocol Version and User Agent | Amir Taaki, Patrick Strateman | Standard | Final |
| 15 | Applications | Aliases | Amir Taaki | Standard | Deferred |
| 16 | Consensus (soft fork) | Pay to Script Hash | Gavin Andresen | Standard | Final |
| 17 | Consensus (soft fork) | OP_CHECKHASHVERIFY (CHV) | Luke Dashjr | Standard | Withdrawn |
| 18 | Consensus (soft fork) | hashScriptCheck | Luke Dashjr | Standard | Proposed |
| 19 | Applications | M-of-N Standard Transactions (Low SigOp) | Luke Dashjr | Standard | Draft |
| 20 | Applications | URI Scheme | Luke Dashjr | Standard | Replaced |
| 21 | Applications | URI Scheme | Nils Schneider, Matt Corallo | Standard | Final |
| 22 | API/RPC | getblocktemplate - Fundamentals | Luke Dashjr | Standard | Final |
| 23 | API/RPC | getblocktemplate - Pooled Mining | Luke Dashjr | Standard | Final |
| 30 | Consensus (soft fork) | Duplicate transactions | Pieter Wuille | Standard | Final |
| 31 | Peer Services | Pong message | Mike Hearn | Standard | Final |
| 32 | Applications | Hierarchical Deterministic Wallets | Pieter Wuille | Informational | Final |
| 33 | Peer Services | Stratized Nodes | Amir Taaki | Standard | Draft |
| 34 | Consensus (soft fork) | Block v2, Height in Coinbase | Gavin Andresen | Standard | Final |
| 35 | Peer Services | mempool message | Jeff Garzik | Standard | Final |
| 36 | Peer Services | Custom Services | Stefan Thomas | Standard | Draft |
| 37 | Peer Services | Connection Bloom filtering | Mike Hearn, Matt Corallo | Standard | Final |
| 38 | Applications | Passphrase-protected private key | Mike Caldwell, Aaron Voisine | Standard | Draft |
| 39 | Applications | Mnemonic code for generating deterministic keys | Marek Palatinus, Pavol Rusnak, Aaron Voisine, Sean Bowe | Standard | Proposed |
| 40 | API/RPC | Stratum wire protocol | Marek Palatinus | Standard | BIP number allocated |
| 41 | API/RPC | Stratum mining protocol | Marek Palatinus | Standard | BIP number allocated |
| 42 | Consensus (soft fork) | A finite monetary supply for Bitcoin | Pieter Wuille | Standard | Draft |
| 43 | Applications | Purpose Field for Deterministic Wallets | Marek Palatinus, Pavol Rusnak | Informational | Draft |
| 44 | Applications | Multi-Account Hierarchy for Deterministic Wallets | Marek Palatinus, Pavol Rusnak | Standard | Proposed |
| 45 | Applications | Structure for Deterministic P2SH Multisignature Wallets | Manuel Araoz, Ryan X. Charles, Matias Alejo Garcia | Standard | Proposed |
| 47 | Applications | Reusable Payment Codes for Hierarchical Deterministic Wallets | Justus Ranvier | Informational | Draft |
| 49 | Applications | Derivation scheme for P2WPKH-nested-in-P2SH based accounts | Daniel Weigl | Informational | Draft |
| 50 | March 2013 Chain Fork Post-Mortem | Gavin Andresen | Informational | Final | |
| 60 | Peer Services | Fixed Length "version" Message (Relay-Transactions Field) | Amir Taaki | Standard | Draft |
| 61 | Peer Services | Reject P2P message | Gavin Andresen | Standard | Final |
| 62 | Consensus (soft fork) | Dealing with malleability | Pieter Wuille | Standard | Withdrawn |
| 63 | Applications | Stealth Addresses | Peter Todd | Standard | BIP number allocated |
| 64 | Peer Services | getutxo message | Mike Hearn | Standard | Draft |
| 65 | Consensus (soft fork) | OP_CHECKLOCKTIMEVERIFY | Peter Todd | Standard | Final |
| 66 | Consensus (soft fork) | Strict DER signatures | Pieter Wuille | Standard | Final |
| 67 | Applications | Deterministic Pay-to-script-hash multi-signature addresses through public key sorting | Thomas Kerin, Jean-Pierre Rupp, Ruben de Vries | Standard | Proposed |
| 68 | Consensus (soft fork) | Relative lock-time using consensus-enforced sequence numbers | Mark Friedenbach, BtcDrak, Nicolas Dorier, kinoshitajona | Standard | Final |
| 69 | Applications | Lexicographical Indexing of Transaction Inputs and Outputs | Kristov Atlas | Informational | Proposed |
| 70 | Applications | Payment Protocol | Gavin Andresen, Mike Hearn | Standard | Final |
| 71 | Applications | Payment Protocol MIME types | Gavin Andresen | Standard | Final |
| 72 | Applications | bitcoin: uri extensions for Payment Protocol | Gavin Andresen | Standard | Final |
| 73 | Applications | Use "Accept" header for response type negotiation with Payment Request URLs | Stephen Pair | Standard | Final |
| 74 | Applications | Allow zero value OP_RETURN in Payment Protocol | Toby Padilla | Standard | Draft |
| 75 | Applications | Out of Band Address Exchange using Payment Protocol Encryption | Justin Newton, Matt David, Aaron Voisine, James MacWhyte | Standard | Draft |
| 80 | Hierarchy for Non-Colored Voting Pool Deterministic Multisig Wallets | Justus Ranvier, Jimmy Song | Informational | Deferred | |
| 81 | Hierarchy for Colored Voting Pool Deterministic Multisig Wallets | Justus Ranvier, Jimmy Song | Informational | Deferred | |
| 83 | Applications | Dynamic Hierarchical Deterministic Key Trees | Eric Lombrozo | Standard | Draft |
| 84 | Applications | Derivation scheme for P2WPKH based accounts | Pavol Rusnak | Informational | Draft |
| 90 | Consensus (hard fork) | Buried Deployments | Suhas Daftuar | Informational | Draft |
| 91 | Consensus (soft fork) | Reduced threshold Segwit MASF | James Hilliard | Standard | Final |
| 98 | Consensus (soft fork) | Fast Merkle Trees | Mark Friedenbach, Kalle Alm, BtcDrak | Standard | Draft |
| 99 | Motivation and deployment of consensus rule changes ([soft/hard]forks) | Jorge Timón | Informational | Draft | |
| 101 | Consensus (hard fork) | Increase maximum block size | Gavin Andresen | Standard | Withdrawn |
| 102 | Consensus (hard fork) | Block size increase to 2MB | Jeff Garzik | Standard | Draft |
| 103 | Consensus (hard fork) | Block size following technological growth | Pieter Wuille | Standard | Draft |
| 104 | Consensus (hard fork) | 'Block75' - Max block size like difficulty | t.khan | Standard | Draft |
| 105 | Consensus (hard fork) | Consensus based block size retargeting algorithm | BtcDrak | Standard | Draft |
| 106 | Consensus (hard fork) | Dynamically Controlled Bitcoin Block Size Max Cap | Upal Chakraborty | Standard | Draft |
| 107 | Consensus (hard fork) | Dynamic limit on the block size | Washington Y. Sanchez | Standard | Draft |
| 109 | Consensus (hard fork) | Two million byte size limit with sigop and sighash limits | Gavin Andresen | Standard | Rejected |
| 111 | Peer Services | NODE_BLOOM service bit | Matt Corallo, Peter Todd | Standard | Proposed |
| 112 | Consensus (soft fork) | CHECKSEQUENCEVERIFY | BtcDrak, Mark Friedenbach, Eric Lombrozo | Standard | Final |
| 113 | Consensus (soft fork) | Median time-past as endpoint for lock-time calculations | Thomas Kerin, Mark Friedenbach | Standard | Final |
| 114 | Consensus (soft fork) | Merkelized Abstract Syntax Tree | Johnson Lau | Standard | Draft |
| 115 | Consensus (soft fork) | Generic anti-replay protection using Script | Luke Dashjr | Standard | Draft |
| 116 | Consensus (soft fork) | MERKLEBRANCHVERIFY | Mark Friedenbach, Kalle Alm, BtcDrak | Standard | Draft |
| 117 | Consensus (soft fork) | Tail Call Execution Semantics | Mark Friedenbach, Kalle Alm, BtcDrak | Standard | Draft |
| 120 | Applications | Proof of Payment | Kalle Rosenbaum | Standard | Withdrawn |
| 121 | Applications | Proof of Payment URI scheme | Kalle Rosenbaum | Standard | Withdrawn |
| 122 | Applications | URI scheme for Blockchain references / exploration | Marco Pontello | Standard | Draft |
| 123 | BIP Classification | Eric Lombrozo | Process | Active | |
| 124 | Applications | Hierarchical Deterministic Script Templates | Eric Lombrozo, William Swanson | Informational | Draft |
| 125 | Applications | Opt-in Full Replace-by-Fee Signaling | David A. Harding, Peter Todd | Standard | Proposed |
| 126 | Best Practices for Heterogeneous Input Script Transactions | Kristov Atlas | Informational | Draft | |
| 130 | Peer Services | sendheaders message | Suhas Daftuar | Standard | Proposed |
| 131 | Consensus (hard fork) | "Coalescing Transaction" Specification (wildcard inputs) | Chris Priest | Standard | Draft |
| 132 | Committee-based BIP Acceptance Process | Andy Chase | Process | Withdrawn | |
| 133 | Peer Services | feefilter message | Alex Morcos | Standard | Draft |
| 134 | Consensus (hard fork) | Flexible Transactions | Tom Zander | Standard | Draft |
| 135 | Generalized version bits voting | Sancho Panza | Informational | Draft | |
| 140 | Consensus (soft fork) | Normalized TXID | Christian Decker | Standard | Draft |
| 141 | Consensus (soft fork) | Segregated Witness (Consensus layer) | Eric Lombrozo, Johnson Lau, Pieter Wuille | Standard | Final |
| 142 | Applications | Address Format for Segregated Witness | Johnson Lau | Standard | Withdrawn |
| 143 | Consensus (soft fork) | Transaction Signature Verification for Version 0 Witness Program | Johnson Lau, Pieter Wuille | Standard | Final |
| 144 | Peer Services | Segregated Witness (Peer Services) | Eric Lombrozo, Pieter Wuille | Standard | Final |
| 145 | API/RPC | getblocktemplate Updates for Segregated Witness | Luke Dashjr | Standard | Final |
| 146 | Consensus (soft fork) | Dealing with signature encoding malleability | Johnson Lau, Pieter Wuille | Standard | Draft |
| 147 | Consensus (soft fork) | Dealing with dummy stack element malleability | Johnson Lau | Standard | Final |
| 148 | Consensus (soft fork) | Mandatory activation of segwit deployment | Shaolin Fry | Standard | Final |
| 149 | Consensus (soft fork) | Segregated Witness (second deployment) | Shaolin Fry | Standard | Withdrawn |
| 150 | Peer Services | Peer Authentication | Jonas Schnelli | Standard | Draft |
| 151 | Peer Services | Peer-to-Peer Communication Encryption | Jonas Schnelli | Standard | Draft |
| 152 | Peer Services | Compact Block Relay | Matt Corallo | Standard | Draft |
| 154 | Peer Services | Rate Limiting via peer specified challenges | Karl-Johan Alm | Standard | Draft |
| 157 | Peer Services | Client Side Block Filtering | Olaoluwa Osuntokun, Alex Akselrod, Jim Posen | Standard | Draft |
| 158 | Peer Services | Compact Block Filters for Light Clients | Olaoluwa Osuntokun, Alex Akselrod | Standard | Draft |
| 159 | Peer Services | NODE_NETWORK_LIMITED service bit | Jonas Schnelli | Standard | Draft |
| 171 | Applications | Currency/exchange rate information API | Luke Dashjr | Standard | Draft |
| 173 | Applications | Base32 address format for native v0-16 witness outputs | Pieter Wuille, Greg Maxwell | Informational | Proposed |
| 174 | Applications | Partially Signed Bitcoin Transaction Format | Andrew Chow | Standard | Draft |
| 175 | Applications | Pay to Contract Protocol | Omar Shibli, Nicholas Gregory | Informational | Draft |
| 176 | Bits Denomination | Jimmy Song | Informational | Draft | |
| 180 | Peer Services | Block size/weight fraud proof | Luke Dashjr | Standard | Draft |
| 199 | Applications | Hashed Time-Locked Contract transactions | Sean Bowe, Daira Hopwood | Standard | Draft |


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We have a passion for fancy chickens - chickens bred for their beautiful plummage and colouring. For the past 30 years we have breed some of the best-looking chickens in the country. We take pride in our chickens and now want you to share our them with you. We are now selling eggs, chicks and chickens. You too can own some of these wonderful creatures.
Please take a look at our gallery showing some of the beautiful chickens that we breed. Just look at them... they are gorgeous, aren't they?!
If you are interested in purchasing some eggs, some hatched chicks, or some adult chickens, please go to the the contacts page. Give as a call, drop us an e-mail, or come and visit our farm.


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Visit webrtcHacks.com for more details.


Refugee and Needy Support Services
FUNDED BY ZAKAT AND SADAQAH (NEEDY) FUND AT IAR
A number of our Muslim Brethren are being forced to flee their home country due to fear of persecution, war, or violence. Upon arrival, these individuals and families need help settling down for the first few weeks or months until they secure employment or other means of income needed to become self-sufficient. The Social & Welfare Committee offers helps to Refugees arriving in our community for at least a period of one year or longer depending upon individual/family needs and circumstances.
Newly arrived refugees are normally put in touch with IAR Social & Welfare Committee through the sponsoring agency assigned by the US Government. Primarily, it is the Lutheran Foundation through which Refugees arrive in the Triangle area. The Social & Welfare Committee maintains regular contact with the Lutheran Foundation and is notified of new Refugees arrival in our area. However, if this has not been the case, please contact the Social & Welfare committee using the contact information provided on this website to inform of new Refugees.
The Social & Welfare Committee's Refugee Support Sub-committee works with the Lutheran Foundation to assist in helping the Refugees settle in the area by offering hot food/meal on the day of arrival, payment of rent, using community donated furniture and/or household items and purchasing of items through Social & Welfare Committee Funds to fulfil the basic needs of the Refugees like furniture, kitchen utensils, and clothes to help settle in their new homes. Social & Welfare Committee works with the local community and with the IAR Support Group to solicit donations of goods and funds to sustain this support to Refugees.
Requests for furniture and household items are also entertained for needy families/individuals already living in the area but preference and priority is given to Refugees in the area for less than one year.
Refugee Employment Workshop - Coming Soon
Assist unemployed refugees prepare for the workplace, search for jobs, complete job
applications, contact employers, prepare for interview etc.
Halaqa for Refugee Girls' Youth
Meet every Sunday from 2 - 5 PM in the Women's Prayer Hall.
GOAL - Connect young refugees to the masjid and give the youth mentors to guide them. This program is to help them adapt into the life of an American Muslim.
For registration please contact Sr Amira at<EMAIL_ADDRESS>ESL Classes
IAR Education Committee is pleased to bring the English as a Second Language (ESL) class for the community taught by certified teachers. The ESL class is aimed at community members who are in need to refine their English abilities and to become fluent.
The class is held every Sunday from 2 pm - 4 pm. ESL Registration Form
Refugee Tutoring program
For help with daily school assignments. There is assistance in Arabic and Quran as well. To enroll please contact Sr Amira at<EMAIL_ADDRESS>Existing Social & Welfare Committee Programs
Refugees can utilize the following existing Social & Welfare Committe programs established at IAR also.
Financial Help
Food Pantry
Ramadan Iftar
Furniture and Household Items
Food Purchase
Contact Information:
For Refugee Support Services and Refugee Programs
Refugee Support Service Lead - Sr Amira Ata at<EMAIL_ADDRESS>SWC Supervisor - Br El Gamal
Help with applications - Sr Loubna Bourgane<EMAIL_ADDRESS>919 834-9572 ext 1338


{% extends "__base__.html" %} {% block content %}
Old password: {{ form.old_password }}
New password: {{ form.new_password1 }}
New password (again):{{ form.new_password2 }}


@* * Copyright 2019 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. *@ @import config.AppConfig @import uk.gov.hmrc.play.views.html.helpers._ @import uk.gov.hmrc.play.views.html.{helpers => hmrcHelpers} @import views.helpers.Utils._ @(ref: String, refPosition: Position)(implicit request: Request[_], messages: Messages, appConfig: AppConfig) @positionModifier = @{refPosition match { case First(_) => "first" case Middle(_, _) => "middle" case Last(_) => "last" }} @main_template(title = messages(s"fileUploadPage.title.$positionModifier"), bodyClasses = None) {
@messages("fileUploadPage.paragraph1")
@messages("fileUploadPage.p.fileNeedsToBe")


Sushi in West Hollywoord, CA
Sushi near lat=41.9 lon=-87.7
Pizza in Chicago, IL
Persian in Los Angeles,CA
Tags=1722
Insurance in Chicago, IL
Results Returned by Search API
With callback URLs...
Sushi in West Hollywoord, CA
Sushi near lat=41.9 lon=-87.7
Pizza in Chicago, IL
With No Results...
No what/tags parameter
No where/lat&lon parameter
No Publisher parameter
No results in pfp/search api


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I like apples and oranges. I also like:
bananas
mangoes
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peaches
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You can see other fruits I like
here
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 I suppose that statement is partially true. While asking questions is an integral part of learning, asking good, well thought out questions is much more productive than asking any old question. As it pertains to succeeding at DBC and in our future programming careers, it seems to me that this skillset could be further broken down into a) asking good questions online and b) asking good questions in person.
Online Questions
A couple of months into the DBC experience, I have heavily searched online forums such as Stack Overflow and Quora for answers to my coding dilemmas. I believe the following things to be mandatory in formulating a good online question:
- Do your homework: In general, people love helping others. They are willing to take a few moments out of their busy schedules to lend a hand IF you put in the initial effort. This means that you should scour the net for an answer first. You will probably find your question has already been posted and answered. If not, feel free to post to a forum and several people will come to your aid. I've seen instances where people get very annoyed about this online, and rightfully so: it's like your 1st grader asking you how to spell 50 words on each page of a book she's reading without sounding it out.
- Be specific: The more specific you can be the better. If you are having trouble with "for..in" constructs in JavaScript for example, maybe you can paste the snippet of code that you can't wrap your head around. Don't just ask, "What's a for..in loop?" because that answer is posted everywhere.
- Be mindful of spelling and grammar: this seems like a foregone conclusion, but I've seen so many posts that aren't proofread before posting. It's hard for someone to post a response when they can't even understand the question.
In-Person Questions
Asking the right questions is going to be critical when we get onsite next week. The 3 bullet points above hold here as well:
- Try to do all of the required readings/homework ahead of class; that way you won't be wasting anyone's time asking something that was covered in chapter 1 of the assignment.
- Ask specific, but open-ended questions. You don't want to ask questions that yield a 'yes or no' answer, rather you want ones that will keep the dialogue going and lead to follow-up questions about other solutions.
- Try to frame your question in a clear, concise way that your colleagues can understand. Speaking gibberish or bouncing all over the place is the in-person equivalent of bad proofreading: you can't get help unless you can communicate what you want.
- One final thing to keep in mind: don't interrupt. Interrupting may send the signal to your colleague that you don't respect their opinion or it may make him lose his train of thought. Let him finish and then respond with any follow-up questions.


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Lesson 4 - routes
Our first question asks the user how many balls they can juggle. We’re going to send them to an ‘ineligible’ page if they can only juggle 2 or less.
See finished exampleOur first question asks the user how many balls they can juggle. We’re going to send them to an ‘ineligible’ page if they can only juggle 2 or less.
See finished example


| PostgreSQL 9.0.10 Documentation | ||||
|---|---|---|---|---|
| Prev | Up | Appendix F. Additional Supplied Modules | Next |
unaccent is a text search dictionary that removes accents (diacritic signs) from lexemes. It's a filtering dictionary, which means its output is always passed to the next dictionary (if any), unlike the normal behavior of dictionaries. This allows accent-insensitive processing for full text search.
The current implementation of unaccent cannot be used as a normalizing dictionary for the thesaurus dictionary.
An unaccent dictionary accepts the following options:
RULES is the base name of the file containing the list of translation rules. This file must be stored in $SHAREDIR/tsearch_data/ (where $SHAREDIR means the PostgreSQL installation's shared-data directory). Its name must end in .rules (which is not to be included in the RULES parameter).
The rules file has the following format:
Each line represents a pair, consisting of a character with accent followed by a character without accent. The first is translated into the second. For example,
À A Á A Â A Ã A Ä A Å A Æ A
A more complete example, which is directly useful for most European languages, can be found in unaccent.rules, which is installed in $SHAREDIR/tsearch_data/ when the unaccent module is installed.
Running the installation script unaccent.sql creates a text search template unaccent and a dictionary unaccent based on it. The unaccent dictionary has the default parameter setting RULES='unaccent', which makes it immediately usable with the standard unaccent.rules file. If you wish, you can alter the parameter, for example
mydb=# ALTER TEXT SEARCH DICTIONARY unaccent (RULES='my_rules');
or create new dictionaries based on the template.
To test the dictionary, you can try:
mydb=# select ts_lexize('unaccent','Hôtel'); ts_lexize ----------- {Hotel} (1 row)
Here is an example showing how to insert the unaccent dictionary into a text search configuration:
mydb=# CREATE TEXT SEARCH CONFIGURATION fr ( COPY = french ); mydb=# ALTER TEXT SEARCH CONFIGURATION fr ALTER MAPPING FOR hword, hword_part, word WITH unaccent, french_stem; mydb=# select to_tsvector('fr','Hôtels de la Mer'); to_tsvector ------------------- 'hotel':1 'mer':4 (1 row) mydb=# select to_tsvector('fr','Hôtel de la Mer') @@ to_tsquery('fr','Hotels'); ?column? ---------- t (1 row) mydb=# select ts_headline('fr','Hôtel de la Mer',to_tsquery('fr','Hotels')); ts_headline ------------------------ <b>Hôtel</b> de la Mer (1 row)
The unaccent()
function removes accents (diacritic signs) from
a given string. Basically, it's a wrapper around the
unaccent dictionary, but it can be used outside normal
text search contexts.
unaccent([dictionary, ] string) returns text
For example:
SELECT unaccent('unaccent', 'Hôtel'); SELECT unaccent('Hôtel');


8.2 Interface for Chained Hash
Tables
int chtbl_init(CHTbl *htbl, int buckets, int (*h)(const void *key),
int (*match)(const void *key1, const void *key2),
void (*destroy)(void *data));
Return Value
0if initializing the hash table is
successful, or -1 otherwise.
Description
Initializes the chained hash table specified
by htbl. This operation must be called for a
chained hash table before the hash table can be used with any
other operation. The number of buckets allocated in the hash
table is specified by buckets. The function pointer h
specifies a user-defined hash function for hashing keys. The
function pointer match specifies a
user-defined function to determine whether two keys match. It
should return 1 if key1 is equal to
key2, and otherwise. The
destroy argument provides a way to free
dynamically allocated data when chtbl_destroy is called. For example,
if the hash table contains data dynamically allocated using
malloc, destroy
should be set to free to free
the data as the hash table is destroyed. For structured data
containing several dynamically allocated members,
destroy should be set to a user-defined
function that calls free for
each dynamically allocated member as well as for the structure
itself. For a hash table containing data that should not be
freed, destroy should be set to NULL.
Complexity
O (m), where m is the number of buckets in the
hash table.
void chtbl_destroy(CHTbl *htbl);
Return Value
None.
Description
Destroys the chained hash table specified by
htbl. No other operations are permitted after
calling chtbl_destroy unless
chtbl_init is called again. The
chtbl_destroy operation removes
all elements from a hash table and calls the function passed
as destroy to chtbl_init once for each element as
it is removed, provided destroy was not set to
NULL.
Complexity
O (m), where m is the number of buckets in the
hash table.
int chtbl_insert(CHTbl *htbl, const void *data);
Return Value
0if inserting the element is successful, 1 if
the element is already in the hash table, or -1 otherwise.
Description
Inserts an element into the chained hash
table specified by htbl. The new element
contains a pointer to data, so the memory
referenced by data should remain valid as long
as the element remains in the hash table. It is the
responsibility of the caller to manage the storage associated
with data.
Complexity
O (1)
int chtbl_remove(CHTbl *htbl, void **data);
Return Value
0if removing the element is successful, or -1
otherwise.
Description
Removes the element matching
data from the chained hash table specified by
htbl. Upon return, data points
to the data stored in the element that was removed. It is the
responsibility of the caller to manage the storage associated
with the data.
Complexity
O (1)
int chtbl_lookup(const CHTbl *htbl, void **data);
Return Value
0if the element is found in the hash table,
or -1 otherwise.
Description
Determines whether an element matches
data in the chained hash table specified by
htbl. If a match is found,
data points to the matching data in the hash
table upon return.
Complexity
O (1)
int chtbl_size(CHTbl *htbl);
Return Value
Number of elements in the hash table.
Description
Macro that evaluates to the number of
elements in the chained hash table specified by
htbl.
Complexity
O (1) |


Week 13 Fantasy RB Rankings: Derrick Henry bullies his way into top five
by Billy HeyenThe best fantasy football owners can do sometimes is react. Heading into Week 13, we're able to assess guys like Rashaad Penny, Bo Scarbrough and Benny Snell Jr. with some accuracy. Sure, it would've been nice to know last week that Penny and Snell should be in all our lineups, but it's never that simple. There was a case to be made for Scarbrough-- he already placed near RB2 territory a week ago. But you've surely opened the Week 13 fantasy RB rankings to see if what happened last week can happen again.
With Snell, the answer is contingent on the health of James Conner (shoulder). There's no reason Snell can't put up solid numbers on heavy volume against the Browns in Week 13if he gets to be the lead back. If Conner returns, Snell will be relegated to the sideline and not have a chance at big numbers -- so, essentially, we can't really know much about Snell until late in the week. Penny seems more likely to continue his production, although he's still got to compete with Chris Carson. Penny's usage Sunday wasn't injury-related, though, and Chris Carson has pushed himself toward the doghouse because of fumbles multiple times. Penny's a former first-rounder and probably someone you can trust as a FLEX.
WEEK 13 NON-PPR RANKINGS:
Quarterback | Wide receiver | Tight end | D/ST | Kicker
Scarbrough might be the easiest to trust in terms of continuing his workload going forward, but his Week 13 Thanksgiving matchup against the Bears is the trickiest to want to play him in. Two weeks of dominating the Lions' carries suggest that the former Alabama back has made the starter's job his, so he should definitely be rostered, but starting him this week might be just as risky as the others.
Other than those waiver wire targets, it's another week of anticipating good and bad matchups. David Montgomery (@ Lions) and Jordan Howard (@ Dolphins) have two of the best. Carlos Hyde (vs. Patriots) and Mark Ingram (vs. 49ers) have two of the worst. In the middle, you have a guy like Jonathan Williams, who saw nearly 30 touches on Week 12 Thursday Night Football but had really never been heard from much in his career. We'd take the relatively unproven Williams with seemingly lots of volume over two veterans in tough situations like Hyde and Ingram.
And at last, with no bye weeks, you may actually be able to sit guys like Hyde and Ingram in matchups that you had no choice but to play them in before. Don't forget, too, to check your lineup before 12:30 p.m. ET on Thanksgiving to make your early decisions.
Reminder: These rankings will be adjusted throughout week, so check back often for the latest updates and analysis!
Week 13 Fantasy RB Rankings
These rankings are for standard, non-PPR leagues.
| Rank | Player |
| 1 | Christian McCaffrey, CAR vs. WAS |
| 2 | Saquon Barkley, NYG vs. GB |
| 3 | Dalvin Cook, MIN @ SEA |
| 4 | Josh Jacobs, OAK @ KC. Kansas City allows the most fantasy points to opposing running backs, so Jacobs might be looking at a huge Week 13. |
| 5 | Derrick Henry, TEN @ IND. Assuming Henry didn't reverse script and use up all his good weeks already, we're entering the time of year when he became a leaguer winner a year ago. |
| 6 | Le'Veon Bell, NYJ @ CIN |
| 7 | Alvin Kamara, NO @ ATL. Kamara hasn't been as effective on the ground as we've come to expect, but nine catches saved his fantasy day Sunday and a similar output could be coming his way Thursday night against a Falcons team that can be seriously thrown on. |
| 8 | Nick Chubb, CLE @ PIT |
| 9 | Ezekiel Elliott, DAL vs. BUF. Commentators really like saying that 'Zeke likes to eat, so what better day for him to totally get back on the right track than Thanksgiving? |
| 10 | Aaron Jones, GB @ NYG |
| 11 | James Conner, PIT vs. CLE. We won't have a great idea of Conner's status until later in the week - if he plays, you start him, and if he doesn't, it's probably Benny Snell Jr. as the best fantasy start from this backfield. |
| 12 | Melvin Gordon, LAC @ DEN |
| 13 | Todd Gurley, LAR @ ARZ |
| 14 | Jordan Howard, PHI @ MIA. Howard has missed a couple games in a row now, so we'll see if he gets healthy just in time to take on the futile Dolphins. If he does, he's a solid RB2 while Miles Sanders is no more than a boom-or-bust FLEX play. |
| 15 | Phillip Lindsay, DEN vs. LAC |
| 16 | David Montgomery, CHI @ DET. Detroit's biggest weakness is defending against solid running backs, so Montgomery should have one more great game before he approaches the rookie wall. |
| 17 | Damien Williams, KC vs. OAK. Keep an eye on Williams' injury from before the bye. If he were to miss out, LeSean McCoy (and to a lesser extent Darrel Williams) would turn into solid fantasy options. |
| 18 | Joe Mixon, CIN vs. NYJ |
| 19 | Devin Singletary, BUF @ DAL |
| 20 | Leonard Fournette, JAX vs. TB. Tampa has allowed the second-fewest rushing yards in football, but Fournette is too good to really consider sitting, especially when you add in his increased role in the passing game this season. |
| 21 | Chris Carson, SEA vs. MIN |
| 22 | Jonathan Williams, IND vs. TEN. Williams saw nearly 30 touches a week ago, and if Marlon Mack remains out, you pretty much have to ride the hot hand here. If Mack were to make it back, Williams would go back to fantasy irrelevance, although he's probably leaped Jordan Wilkins in the handcuff race. |
| 23 | Derrius Guice, WAS @ CAR. Guice saw an increase from seven to 10 carries in his second game back from injury, while Adrian Peterson also rushed 10 times and matched Guice's one catch. Guice is probably the more talented back at this point, but it's not a super encouraging situation for fantasy upsid. |
| 24 | Tevin Coleman, SF @ BAL |
| 25 | Bo Scarbrough, DET vs. CHI. The Bears' run defense is deceiving at this point - they're right about league average in fantasy points allowed to running backs. Scarbrough should see 15-plus carries again on Thanksgiving, so you can feel decent about starting him. |
| 26 | Ronald Jones, TB @ JAX |
| 27 | Miles Sanders, PHI @ MIA. Sanders' value rises if Jordan Howard is out to RB2 territory, while it drops if Howard is active against the Dolphins. |
| 28 | Kenyan Drake, ARZ vs. LAR |
| 29 | Austin Ekeler, LAC @ DEN |
| 30 | Kareem Hunt, CLE @ PIT. Hunt's overall offensive involvement has made him useful in standard leagues, although not to the extent that he's extra reliable in PPR formats. |
| 31 | Carlos Hyde, HOU vs. NE. The Pats have allowed the fewest fantasy points to RBs this season. The Texans' offense might move the ball decent with Deshaun Watson at the controls, but that doesn't mean you can count on a ton of production from Hyde. |
| 32 | James White, NE @ HOU |
| 33 | Sony Michel, NE @ HOU |
| 34 | Mark Ingram, BAL vs. SF. San Francisco has allowed the third-fewest fantasy points to running backs in 2019. Baltimore's best option in this game will be to rely heavily on Lamar Jackson, which means Ingram's upside is severely limited. |
| 35 | Jamaal Williams, GB @ NYG |
| 36 | Rashaad Penny, SEA vs. MIN. Penny's huge game in Week 12 will have us keeping our eyes on comments out of Seattle all week. This is a former first-rounder who could be extra valuable in fantasy if he were to leapfrog Chris Carson on the depth chart. |
| 37 | Benny Snell Jr., PIT vs. CLE. Snell will get a high volume of early-down work in Week 13 if James Conner remains out, but if Conner plays, that basically tanks all potential Snell value. |
| 38 | David Johnson, ARZ vs. LAR |
| 39 | Adrian Peterson, WAS @ CAR |
| 40 | Tarik Cohen, CHI @ DET |
| 41 | Latavius Murray, NO @ ATL |
| 42 | Matt Breida, SF @ BAL |
| 43 | Brian Hill, ATL vs. NO. We haven't ranked Devonta Freeman, although he could hurry back to make his return from injury for this Thanksgiving night game. Freeman would slide somewhere in the 20s for a pretty difficult matchup. If Freeman is still out, it's hard to trust the ineffective Hill against a strong Saints front. |
| 44 | Kalen Ballage, MIA vs. PHI. When eight touches for 26 yards is an improvement, that's when it whacks you over the head again that it might be time to find a different running back. |
| 45 | Peyton Barber, TB @ JAX |
| 46 | Royce Freeman, DEN vs. LAC |
| 47 | Duke Johnson Jr., HOU vs. NE |
| 48 | Darrel Williams, KC vs. OAK |
| 49 | Jay Ajayi, PHI @ MIA. Ajayi received six carries in Week 12 and could be a speculative play this week if Jordan Howard remains out - you'd be betting on Ajayi finding the end zone to make his fantasy start worthwhile. |
| 50 | LeSean McCoy, KC vs. OAK. A Damien Williams absence in Week 13 would send McCoy flying up the rankings. |
| 51 | Qadree Ollison, ATL vs. NO. His touchdown vulturing ability would go away if Devonta Freeman made his return. |
| 52 | Nyheim Hines, IND vs. TEN. Hines saw a season-high nine carries with Marlon Mack out in Week 12, so if Mack remains out, you can probably pencil Hines in for low double-digit touches. |
| 53 | Frank Gore, BUF @ DAL |
| 54 | Jaylen Samuels, PIT vs. CLE |
| 55 | Dare Ogunbowale, TB @ JAX |
| 56 | Bilal Powell, NYJ @ CIN |
| 57 | Alexander Mattison, MIN @ SEA |
| 58 | Gus Edwards, BAL vs. SF |
| 59 | J.D. McKissic, DET vs. CHI |
| 60 | Malcolm Brown, LAR @ ARZ |
| 61 | Giovani Bernard, CIN vs. NYJ |
| 62 | Rex Burkhead, NE @ HOU |
| 63 | Tony Pollard, DAL vs. BUF |
| 64 | Dion Lewis, TEN @ IND |
| 65 | Ty Johnson, DET vs. CHI |
| 66 | Wayne Gallman, NYG vs. GB |


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White to play 53
w0-b0/5
pips White=143 Black=101
(CorrectAnswer= 0/0, ErrorScore= 0)
1. Bar/17 eq: -0.766 29.77% (G: 4.44% B:0.11%) 70.23% (G:13.47% B:0.25%) 2. Bar/22 13/8 eq: -0.941 (-0.176) 26.00% (G: 3.30% B:0.12%) 74.00% (G:12.44% B:0.23%) 3. Bar/22 7/2 eq: -0.986 (-0.221) 24.75% (G: 2.87% B:0.07%) 75.25% (G:11.15% B:0.19%) 4. Bar/22 6/1 eq: -1.000 (-0.234) 22.49% (G: 2.36% B:0.05%) 77.51% (G:11.93% B:0.21%)


One single .cs file to get you started
Binary Search implementation sample ready to use
The project is open source
Contributions are most welcome!
We love coffee
You can run it like any .NET project


Guess The Number
Guess a number between 0 to 10. I will tell you whether your guess is correct, too low, or too high.
Guess a number between 0 to 10. I will tell you whether your guess is correct, too low, or too high.
Your Guess is: {{ result }}
{{ error }}
{% endfor %} {% endif %}


{% extends "home-page.html"%} {% block title %}Home Page{% endblock %} {% block head%} {{ super() }} {% endblock%} {% block page_content%}
I am a hard working student who finishes his work.


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--- layout: post title: Branching and merging in Git date: 2015-06-03 07:04:54.000000000 +01:00 type: post parent_id: '0' published: true password: '' status: publish categories: - git tags: [] meta: _edit_last: '1' _wpas_done_all: '1' author: Noel permalink: "/branching-and-merging-in-git/" ---
Workflow for branching and merging:
git checkout -b my-task # create a new branch named "my-task" # make changes git commit -a git checkout master # return to master branch git merge my-task # merge my-task in to master branch git pull . my-task # merge changesets from my-task


Just an update to include the Self-Management workshop and Battle Royale XIII.
Feel free to forward this newsletter to anyone you think might be interested.
Distractions have never been easier to fall into and the demands of your time, energy and mind have never been greater. Discover how to guard these assets to propel yourself onward and upward. This workshop will outline how to align your time, energy and mind to become more productive and accomplish more.
Scott Rust graduated with a BComm from Concordia University and continues his professional development towards his International Coaching Federation – ACC level accreditation. Scott specializes in productivity and leadership coaching to help high-achievers accomplish more, work at their best and erode stress.
🎮 Attention all gamers: IEEE Battle Royale XIII needs your help! We're currently looking for planning team members to help get IEEE's annual 24-hour LAN party off the ground!
If you're interested in leading teams in patronage, web design, volunteer coordination, and other fields, check out the Google form below! 👽
Join us on AI in Modern Power and Energy Systems by Senior Director of BluWave.AI!
We are currently looking for SPAC 2021 Leads. There will be two leads for this event, the Carleton SPAC Lead and the uOttawa SPAC Lead. Applications have been extended to Wednesday, March 4 at 11:59 pm.
What is SPAC? SPAC is one of the largest hi-tech networking dinners situated in Ottawa. SPAC has served as one of the longest running networking night for over 9 years. Next year will mark the 10th anniversary for SPAC. For a reference to what SPAC is, click this here to watch a video.
Roles of SPAC Leads: The SPAC Leads are required to recruit, organize, and manage a team of 20+ organizers/volunteers. The SPAC Leads delegate tasks to team leads and ensures all preparation for the event falls according to plan.
Requirements for SPAC Leads: Event planning experience and motivation, with foresight for issues and ability to drive decisions through team members. Time management and organization skills are key assets. An additional asset is the ability to resolve conflicts internally within the team and externally with third parties.
Looking to make meaningful connections within your community? Well, look no further.
Introducing IEEE Women in Engineering 11th annual Wine and Cheese. A fantastic opportunity for students to practice their networking skills and build a network with industry professionals and academia from the Ottawa community.
With an evening filled of interesting speakers, ice-breakers, and of course wine and cheese (and other foods!), there's no better time and place to start networking! 🍷🧀
Get your tickets online or visit your IEEE student branch office to purchase with cash! Each ticket comes with a FREE drink coupon (remember your ID).
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uOttawa – SITE 4026
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🙋♀ OR BUY THEM ONLINE (both uOttawa and Carleton) AT https://www.celebratewie.ca/tickets/
Bring your own project or join one of our projects! We are running 3 main projects this year!
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SLAM sessions are happening twice a week now: Tuesdays and Thursdays, from 6 PM to 9 PM.
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Join us to learn how to ace the problem portion of your interviews with the expertise from upper-year students. We'll be covering algorithmic and logic problems.
This seminar works well as preparation for your co-op interviews!
This workshop provides an “in-depth” overview of Machine Learning, the principles of supervised learning as well as a survey of the algorithms for supervised and unsupervised learning and reinforcement learning and their applications in industry.
The goal of this talk is to provide an end-to-end understanding of the meaning of Machine Learning (ML) and where it lies in the bigger space of Artificial Intelligence (AI) with examples of how machine learning applications are deployed in industry. Our goal is to inspire more people to get involved in understanding and building ML/AI products.
Every month we wish to appreciate and thank one of our execs that went above and beyond in their duties. They showcase the values of the IEEE Carleton Student Branch and are a shining example to their peers. For the month of February the exec of the month was: Hemant Gupta
Here are a few words from our Exec of the Month:
Thanks everyone for choosing me. Its always been a great learning and fun opportunity to working with you all from past 3 years. And I hope I will continue fulfilling all my duties in upcoming future with best of my capabilities.


Add the following snippet to your template's script.js file. This assumes that all of your date elements have the class 'date'. Feel free to adjust the value of dateSelector
as needed.
// CSS selector which will match all the HTML elements containing a date var dateSelector = '.date'; var dates = Array.from(document.querySelectorAll(dateSelector)); // Iterate over all the dates, hiding each date identical to its immediate predeccessor dates.reduce(function(previousDate, el){ if (previousDate && previousDate === el.innerHTML) el.style.display='none'; return el.innerHTML; }, '');


PART II. LARGE FISHING VESSEL PURCHASE, CONSTRUCTION,
RENOVATION, MAINTENANCE, AND REPAIR LOAN PROGRAM
Note
Part heading amended by L 1975, c 167, §4; L 1976, c 70, §1.
§189-21 Definitions. As used in this part:
"Department" means the department of business, economic development, and tourism.
"Director" means the director of business, economic development, and tourism.
"Large fishing vessel" means any vessel five net tons and over designed to be used in the Hawaii commercial fisheries for catching fish, processing, or transporting fish loaded on the high seas that derives at least fifty-one per cent of that vessel's gross annual income from commercial (as opposed to recreational) operations, or any vessel outfitted for such activity.
"National Marine Fisheries Service" means the Financial Assistance Division, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, United States Department of Commerce.
"SBA" means the Federal Small Business Administration. [L 1965, c 193, §2; Supp, §21-101; HRS §189-21; am L 1975, c 167, pt of §4; am L 1976, c 70, pt of §1; am L 1987, c 336, §7; am L 1990, c 293, §8]
Note
"Financial Assistance Division", National Marine Fisheries Service, now known as "Financial Services Division".
Revision Note
Numeric designations deleted and definitions rearranged.


--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/convert.html ---
maybe convert
can automatically apply_instance
?
Are you thinking in writing or asking for help?
I'm suggesting
There's no context accompanying your comment, it's in a brand new thread
sorry
This doesn't make any sense. convert
generates an equality goal, it is never something that can be apply_instance
solvable
oh, convert
generates auxiliary goals, some of which are apply_instance
solvable
e.g. finsupp.sum_zero_index
Last updated: Apr 24 2020 at 19:02 UTC


vignettes/evaluation_obsolete.Rmd
evaluation_obsolete.Rmd
Integration and batch correction methods have become a popular component in the bioinformatic workflows for scRNA-Seq data analysis, whilst the integration results (mostly corrected PCs or less commonly corrected read counts) are rarely validated or evaluated with an objective metric.
To assess the correctness of integration (i.e. whether cells belonging to the same population are gathered and ones belonging to different populations stay separate after integration), the existing evaluation metrics require the existence of ground truth for cell population annotations.
CIDER provides a ground-truth-free approach to evaluate the integration results. This vignette focuses how showing the process using the example data of dendritic cells.
The example data are loaded using data("dendritic")
. It contains 26593 genes and 564 cells from two batches.
# data("dendritic")
# dim(dendritic)
# table(dendritic$Batch)
First an integration method\(^1\) is applied on the dendritic data. You can apply other integration methods to the your data, as long as the correct PCs are stored in your Seurat object, i.e. Reductions(seu.integrated, "pca")
or seu.integrated@reductions$pca
.
# seu.list <- SplitObject(dendritic, split.by = "Batch")
# for (i in 1:length(seu.list)) {
# seu.list[[i]] <- NormalizeData(seu.list[[i]], verbose = FALSE)
# seu.list[[i]] <- FindVariableFeatures(seu.list[[i]],
# selection.method = "vst",
# nfeatures = 1000, verbose = FALSE)
# }
# seu.anchors <- FindIntegrationAnchors(object.list = seu.list,
# dims = 1:15, verbose = FALSE)
# seu.integrated <- IntegrateData(anchorset = seu.anchors,
# dims = 1:15, verbose = FALSE)
#
# DefaultAssay(seu.integrated) <- "integrated"
# seu.integrated <- ScaleData(seu.integrated, verbose = FALSE)
# seu.integrated <- RunPCA(seu.integrated, verbose = FALSE)
# seu.integrated <- RunTSNE(seu.integrated, reduction = "pca", dims = 1:5)
# seu.integrated@reductions$pca
Clear the intermediate outcome.
# rm(seu.list, seu.anchors)
# gc()
CIDER evaluates integration results in three steps:
hdbscan.seurat
). This step uses HDBSCAN, which is a density-based clustering algorithm\(^2\). The clustering results are stored in seu.integrated$dbscan_cluster
. Clusters are further divided into batch-specific clusters by concatenating dbscan_cluster and batch, stored in seu.integrated$initial_cluster
.getIDEr
) among the batch-specific initial clusters. If multiple CPUs are availble, you can set use.parallel = TRUE
and n.cores
to the number of available cores to speed it up.estimateProb
) for the correctness of integration. High similarity values and low p values indicate that the cell are similar to the surrounding cells and likely integrated correctly.
# seu.integrated <- hdbscan.seurat(seu.integrated)
# ider <- getIDEr(seu.integrated, use.parallel = FALSE, verbose = FALSE)
# seu.integrated <- estimateProb(seu.integrated, ider)
The evaluation scores can be viewed by the scatterPlot
as below. As shown cells with dbscan_cluster of 2 and 3 have low regional similarity and high empirical p values, suggesting that they can be incorrectly integrated.
# p1 <- scatterPlot(seu.integrated, "tsne", "dbscan_cluster")
# p2 <- scatterPlot(seu.integrated, "tsne", colour.by = "similarity") +
# labs(fill = "Similarity")
# p3 <- scatterPlot(seu.integrated, "tsne", colour.by = "pvalue") +
# labs(fill = "Empirical\n p values")
# plot_grid(p1,p2,p3, ncol = 3)
To have more insight, we can view the IDER-based similarity matrix by functions plotNetwork
or plotHeatmap
. Both of them require the input of a Seurat object and the output of getIDEr
. In this example, 1_Batch1 and 1_Batch2 as well as 4_Batch1 and 4_Batch2 have high similarity.
plotNetwork
generates a graph where vertexes are initial clusters and edge widths are similarity values. The parameter weight.factor
controls the scale of edge widths; larger weight.factor
will give bolder edges proportionally.
# plotNetwork(seu.integrated, ider, weight.factor = 3)
plotHeatmap
generates a heatmap where each cell is coloured and labeled by the similarity values.
# plotHeatmap(seu.integrated, ider)
So far the evaluation have completed and CIDER has not used the ground truth at all!
Let’s peep at the ground truth before the closure of this vignette. As shown in the figure below, the clusters having low IDER-based similarity and high p values actually have at least two popuplations (CD1C and CD141), verifying that CIDER spots the wrongly integrated cells.
# scatterPlot(seu.integrated, "tsne", colour.by = "Group") +
# labs(fill = "Group\n (ground truth)")


This is a simple DIV container element that has the focusMoved plugin applied.
Here the focusMoved plugin has been applied to the table element below.
focusMoved has been applied to the form element containing the fields below.


When a multiselect lookup gets data from a "source" function, the values should be selected in the lookup dialog.


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This week we finished up our Data Design project. I feel as if I just customized my assert statements
from the Data Design project on Twitter. The only challenge I kept facing was that I didn't have as many Classes
or Attributes as the Twitter reference so I kept getting confused. But I still love Data Design as mcu has I did before.


CLIPLINE clip a line with a box EDGE = clipLine(LINE, BOX); LINE is a straight line given as a 4 element row vector: [x0 y0 dx dy], with (x0 y0) being a point of the line and (dx dy) a direction vector, BOX is the clipping box, given by its extreme coordinates: [xmin xmax ymin ymax]. The result is given as an edge, defined by the coordinates of its 2 extreme points: [x1 y1 x2 y2]. If line does not intersect the box, [NaN NaN NaN NaN] is returned. Function works also if LINE is a Nx4 array, if BOX is a Nx4 array, or if both LINE and BOX are Nx4 arrays. In these cases, EDGE is a Nx4 array. See also: lines2d boxes2d edges2d clipEdge ------ Author: David Legland e-mail<EMAIL_ADDRESS>Created: 2007-08-27, using Matlab <IP_ADDRESS>7 (R2007a) Copyright 2007 INRA - BIA PV Nantes - MIAJ Jouy-en-Josas. Licensed under the terms of the LGPL, see the file "license.txt"


System Architect Picture "Derived Agent By Agreement"
Parent Diagram:
Derived Agent
(OMT Object Model)


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{% raw %}NEW SCENES AND A NEW HOME. 99{% endraw %}
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{% raw %}of the air may take shelter therein. Religion is not{% endraw %}
{% raw %}so much knowledge as wisdom; and observation{% endraw %}
{% raw %}upon what passes without, and reflection upon what{% endraw %}
{% raw %}passes within a man's heart, will give him a larger{% endraw %}
{% raw %}growth in grace than is imagined by the devoted{% endraw %}
{% raw %}adherents of creeds, or the confident followers of{% endraw %}
{% raw %}Christ, who call Him " Lord, Lord," but do not the{% endraw %}
{% raw %}things which He says.{% endraw %}
{% raw %}Mr. Hibbard was good enough to give my eldest{% endraw %}
{% raw %}boy, Tom, two quarters' schooling, to which the{% endraw %}
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{% raw %}him read it over.{% endraw %}
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{% raw %}called him to come and read to me. " Where shall{% endraw %}
{% raw %}I read, father?" " Anywhere, my son," I answered,{% endraw %}
{% raw %}for I knew not how to direct him. He opened upon{% endraw %}
{% raw %}Psalm ciii., "Bless the Lord, 0 my soul: and all{% endraw %}
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{% raw %}sent condition with what it had been, not only my{% endraw %}