Dior Diehards Come Out to Bergdorf Goodman for a Cocktail Party
Kat Graham, Ella Hunt and more attended the festivities toasting Dior's and BG's partnership for the cruise 2020 collection.
by Leigh Nordstrom“They’re my girlfriends,” said Kat Graham Tuesday evening, speaking of the women behind Dior: Maria Grazia Chiuri and her female staffers.
Graham was an unusually supportive fangirl, who is in town for the two nights of events for the Dior x Guggenheim Gala. Tuesday she joined Eiza González, Gala González, Sophia Lillis, Ella Hunt, Lainy Hedaya, Rosa Salazar, Alexandra Richards and more for an after-hours party at Bergdorf Goodman, toasting the Dior and BG partnership for the cruise 2020 collection.
“It’s really one of the most incredible female empowerment companies,” Graham continued of Dior. “They’ve really inspired me, Maria and all the girls that work at Dior, because it is so much about empowerment and about highlighting so many different women, specifically artisans from specific communities.”
She enthusiastically described the 2020 cruise collection as “so important to me and dear to my heart.” For the night, she was dressed in an archival Gianfranco Férre design from the Nineties.
“I’ve been wearing Dior to Vanity Fair [Oscars party] — it’s kind of like my tradition with myself, that was started way before they were even dressing me. I was just like ‘I am going to wear Dior,’” Graham continued.
“I’m really invested in their process, and women, we support each other.  They’re like you can wear boots with their gowns and you can wear a bustier with a button down underneath it and ride horses in the wild. Anything a man can do a girl can do, if not better,” she said, before closing: “I’m a Dior girl.”


{% extends 'layouts/layout-cookie-banner.html' %} {% extends 'layouts/layout.html' %} {% from 'button/macro.njk' import button %} {% from 'back-link/macro.njk' import backLink %} {% block pageTitle %} Enter your email address {% endblock %} {% block content %}
This is to keep your information secure, because you have been inactive on NHS login for 60 minutes.
To continue, close the website or app you were trying to access and login again.


Russia detains serviceman suspected of spying for Ukraine: RIA
MOSCOW (Reuters) - Russia’s FSB security service has detained a Russian serviceman suspected of spying for Ukraine, the RIA news agency reported on Wednesday.
The serviceman was allegedly gathering secret information for Ukraine’s intelligence service and is being investigated for treason, RIA reported, citing the FSB.


Abilities
Caterpie spits at the enemy with sticky threads. Butterfree pounces on the enemy and rams him. The metapod strengthens its defense. Butterfree showers the enemy with pollen, which puts them to sleep. Butterfree quickly flaps its wings and rains a hurricane at the enemy. Butterfree stuns the enemy with special disputes.


_Three_Kings_ (R) *** 1/2 (out of ****)
At the end of the Gulf War, a group of four--_not_ three--American soldiers (George Clooney, Mark Wahlberg, Ice Cube, and Spike Jonze) head out to the Iraqi desert to claim millions in stolen Kuwaiti gold as their own. Much like their seemingly simple journey, there is more to _Three_Kings_ than one expects. Writer-director David O. Russell, heretofore best known for the idiosyncratic indies _Spanking_the_Monkey_ and _Flirting_with_Disaster_, establishes a quirky sense of humor in the film's lighthearted early treasure hunting stages, then midway shifts gears into a thoughtful--but never heavyhanded--examination of the post-war plight of the Iraqi people. The shock comes in not the suddenness of the transition but in how the change is barely noticeable. Russell juggles comedy, drama, traditional war and action-adventure movie elements in _Three_Kings_, and their seamless blending makes for a studio picture uncommon in its unique sensibility and personality.
The latter, of course, owes a great debt to the ensemble. As the ringleader of the gang, Major Archie Gates, Clooney is his typically charismatic self, and it's a testament to his costars' work that his formidable screen presence never dominates. Wahlberg and Cube more than hold their own as Sgt. Troy Barlow and Chief Elgin, respectively (even if the latter is saddled with a fairly limited role), and more secondary players like Nora Dunn (as TV reporter Adriana Cruz) and Jamie Kennedy (as the slightly-off soldier Walter Wogeman) are given their share of moments to call their own. But the surprising standout is Jonze, who, in his acting debut, proves to possess talents that go beyond his claim to fame in music video directing. His funny and ultimately moving work as Pvt. Conrad Vig, who intensely admires Troy, is the film's true buried treasure.
Michael Dequina<EMAIL_ADDRESS>|<EMAIL_ADDRESS>|<EMAIL_ADDRESS>|<EMAIL_ADDRESS>Mr. Brown's Movie Site: http://welcome.to/mrbrown CinemaReview Magazine: http://www.CinemaReview.com on ICQ: #25289934 | on AOL Instant Messenger: MrBrown23
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Angular 2.0 is in Release Candidate Stage. Below are the current active milestones on Github. If you are starting a new project Angular 2 is a great option.
{{milestone.description}}


In order to combat malware all downloads provided by MultiBit are served over HTTPS and are cryptographically signed. This means that they cannot be altered without the alteration being detected.
In many cases simply acquiring the code over HTTPS will be sufficient security but we at MultiBit believe in going the extra mile to ensure that there is no doubt that what you think you have downloaded is exactly what we have published. To that end here is a short technical guide to verifying signatures using GPG.
This article is aimed at people who are comfortable with the command line but have not spent much time working
with SHA1, GPG and so on. As usual commands are prefixed with either >
or $
to show the
typical command prompt for Windows or Unix.
The first step on the road to security is access to strong cryptography. We'll start by creating a simple one line text file:
$ echo "Hello world" > example.txt
The above has an expected SHA1 hash of
33ab5639bfd8e7b95eb1d8d0b87781d4ffea4d5d
which we will now attempt to
verify. Depending on your operating system you'll need to install a few applications in a particular order to establish a
solid trust foundation.
Microsoft's File Checksum Integrity Verifier (FCIV) is a command line tool that provides access to SHA1 checksums.
Once installed, you can test it out on your example file as follows
> fciv.exe -sha1 example.txt
OSX ships with an older version of OpenSSL that supports SHA1. You may want to update it, but the standard version is good enough for our purposes.
$ openssl sha1 example.txt
Most Linux distributions ship with the sha1sum
utility.
$ sha1sum example.txt
At this point we have a way of verifying the integrity of anything we download, but we don't have any way to prove authenticity. Anyone could produce a copy of MultiBit containing malicious code with a valid SHA1 and it would pass our rather weak test. We need a cryptographic signature.
This is provided in the GnuPG (GPG) suite of applications that are available for download. You can choose to use their binary installers but remember to verify what you have downloaded using the SHA1 process above.
For example after downloading the GPG Tools installer and clicking on the SHA1 link we can verify the following:
$ openssl sha1 GPGTools-2013.5.20.dmg SHA1(GPGTools-2013.5.20.dmg)= 9f9fea935b3ce90d8d04542a754b8778f82a8b1b
To verify that GPG is installed and working use the following:
gpg --version
The result should look something like this:
gpg (GnuPG/MacGPG2) 2.0.17 libgcrypt 1.4.6 ... more info ...
After you have verified GPG you can then use GPG itself to verify all future GPG updates using the process described next.
On startup MultiBit will check with the main site to verify that it is still the latest released version. If not then it will present a dialog to inform the user and open a browser window to assist the download process.
The typical process is to simply click on the installer package link for your operating system and go through the process. In this case we're going to actually use the digital signature provided by MultiBit to verify that the download has been signed by the lead developer Jim Burton.
We import Jim's public key (0x79F7C572 ) using the following command:
$ gpg --keyserver pgp.mit.edu --recv-keys 0x79F7C572 gpg: requesting key 79F7C572 from hkp server pgp.mit.edu gpg: key 79F7C572: "Jim Burton (multibit.org developer)" not changed gpg: Total number processed: 1 gpg: unchanged: 1
Each public key has a unique number which has been provided on the main MultiBit website. As more people decide to sign the MultiBit release then more keys will be presented on the site. By importing the key you give GPG the opportunity to check that the key has not been revoked, it also means that you can now send the owner of the key encrypted messages.
We are now ready to check the MultiBit installer signature. Clicking the signature link ("Save As") will download the
signature file into the same location as the installer. It normally has a .asc
extension (for "armoured
ASCII"). You can now issue the verification command. The example below is for a version 0.5.13 Mac installer.
gpg --verify multibit-0.5.13.dmg.asc gpg: Signature made Mon 22 Jul 10:07:09 2013 BST using RSA key ID 23F7FB7B gpg: Good signature from "Jim Burton (multibit.org developer)"
You may see the following additional information:
gpg: WARNING: This key is not certified with a trusted signature! gpg: There is no indication that the signature belongs to the owner. Primary key fingerprint: 299C 423C 672F 47F4 756A 6BA4 C197 2AED 79F7 C572 Subkey fingerprint: 4A71 A836 F572 01B4 D088 7D60 0820 A658 23F7 FB7B
This warning from GPG is to inform you that you don't trust any keys that have signed Jim's key. As more people sign Jim's key eventually you will encounter someone whose key you do trust and that will in turn validate Jim's key in your trust chain. If you want to trust this key immediately you must sign it with your own key. Full information about key signing, and other features of GPG is available here.
The use of cryptographic signatures provides a guarantee that what you think you have downloaded is actually present on your system. Bitcoin applications are not like ordinary applications - they handle real money and as such need to be treated with more security precautions than you would otherwise use. It is always worth learning more about the technology you use and hopefully this article has given you a taste.


|
Depth Camera Transformer
2.0
|
Public Member Functions | |
| Point (double _x, double _y, double _z) | |
| void | set_x (double _x) |
| double | get_x () const |
| void | set_y (double _y) |
| double | get_y () const |
| void | set_z (double _z) |
| double | get_z () const |
| bool | operator== (const Point &point) |
| double | distance (const Point &) |


Stelco makes no net profit in third quarter as revenues drop 23%
by The Canadian PressHAMILTON - Stelco Holdings Inc. says it made no net profit in the third quarter as revenues dropped 23 per cent on lower selling prices for steel.
The Hamilton, Ont.-based company's net profit for the period ended Sept. 30 were down from $125 million or $1.41 per diluted share.
Stelco posted an adjusted net loss of $11 million or 12 cents per share, compared with an adjusted net profit of $174 million or $1.96 per share in the prior year.
Revenues were $475 million, down from $619 million in the third quarter of 2018, due to a 28 per cent decrease in average selling price for steel and a $31 million decrease in non-steel sales, partly offset by a 12 per cent increase in steel shipping volumes.
The average selling price dropped $704 per ton, from $980 per ton in the prior year while shipping volumes grew to 654,000 tons, from 586,000 tons in the 2018 quarter.
Stelco was not expected to earn any adjusted profits on $452.3 million in revenues, according to financial markets data firm Refinitiv.


|
Exact Stochastic Simulation Software
|
"Minimal" random number generator of Park and Miller More...
#include <Uni_Rnd.h>
Public Member Functions | |
| Uni_Rnd () | |
| Seed random generator with current time. More... | |
| double | get_Uni_Rnd () |
| Implementation of the _Random::get_Uni_Rnd() method. More... | |
| Public Member Functions inherited from nw::_Random | |
| virtual | ~_Random () |
| Destructor. More... | |
Private Member Functions | |
| double | uni_Rnd (long *) |
| generates uniform random variable More... | |
Private Attributes | |
| long | seed |
| Random generator seed. More... | |
"Minimal" random number generator of Park and Miller
with Bays-Durham shuffle and added safeguards. Returns a uniform random deviate between 0.0 and 1.0 (exclusive of the endpoint values). Call with idum a negative integer to initialize; thereafter, do not alter idum between successive deviates in a sequence. RNMX should approximate the largest floating value that is less than 1.
|
inline |
Seed random generator with current time.
|
virtual |
Implementation of the _Random::get_Uni_Rnd() method.
Implements nw::_Random.
|
private |
generates uniform random variable
|
private |
Random generator seed.


Hello Hugo!
Nov 19, 2014Hello from Hugo! And hello from Hannes! This is my first blog entry, realized thanks to Hugo; written in Markdown.
Hugo
Here’s a the link to Hugo.
I will optimize my build process (make file already created) and will post findings here and in GitHub.
Showing off with Markdown
A full cheat sheet can be found here or through Google.
Hosted on GitHub
How a page in GitHub can be hosted is described here. It’s so easy and fast to publish pages via git pull/add/commit/push!


With the development of the MITRE ATT&CK framework and its categorization of adversary activity
during the attack cycle, understanding what to hunt for has become easier and more efficient than ever. However,
organizations are still struggling to understand how they can prioritize the development of hunt hypothesis,
assess their current security posture, and develop the right analytics with the help of ATT&CK. Even though
there are several ways to utilize ATT&CK to accomplish those goals, there are only a few that are focusing
primarily on the data that is currently being collected to drive the success of a hunt program. This
presentation shows how organizations can benefit from mapping their current visibility from a data perspective
to the ATT&CK framework. It focuses on how to identify, document, standardize and model current available data
to enhance a hunt program. It presents an updated ThreatHunter-Playbook, a Kibana ATT&CK dashboard, a new
project named Open Source Security Events Metadata known as OSSEM and expands on the “data sources” section
already provided by ATT&CK on most of the documented adversarial techniques.
Link to
video
and
slides .


{{ partial "header.html" . }}
An interactive tutorial with real queries and real results, designed to run on Chrome on your machine.
{{ index $.Site.Params.menudesc .Identifier }}
Get detailed information on how to get started with Dgraph.
Be part of the growing global community of Dgraph users and developers.
Easily query and visualize your data in an easy to use web interface.


Caffe Solution for using cuDNN v5 in faster-RCNN Caffe Framework Development Guide Algorithms Depth-First Search Problem Set LRU Cache Easy Dynamic Programming Problems Reverse Words in A String Longest Substring Without Repeating Characters Word Break Find kth smallest elements in two sorted array Machine Learning Gaussian Mixture Model and Implementation Of GrabCut Notes Machine Learning nano-degree notebook (Unsupervised Learning) Machine Learning nano-degree notebook (Supervised Learning) Git Git Commonly Used Commands, Tricks and Work Flows


Explore how future technology developments, platforms or trends will impact how makers will create, communicate, organize and might even do business ... Read more
A list of the current Trends in technologies used by and affecting the Maker movement.
A list of the current Platforms available for Maker initiatives to use for their projects.
Explore how Trends and Platforms are connected and related to each other, and more.


About this book (OLD OLD OLD)
Pharo is a modern open-source development environment and language inspired from Smalltalk. Despite being the first purely object-oriented language and environment, Pharo is in many ways still far ahead of its successors in promoting a vision of an environment where everything is an object, and anything can change at run-time.
Pharo by Example, intended for both students and developers, will guide you gently through the Pharo language and environment by means of a series of examples and exercises.
But pay attention that we are working on the next edition at https://github.com/.../PharoByExample80 (PDF)
Topics
The book helps you get started with A Quick Tour of Pharo and guides you through A First Application. The Smalltalk language is introduced in the chapters Syntax in a Nutshell and Understanding Message Syntax.
Development with Pharo is introduced in The Smalltalk Object Model, The Pharo Programming Environment and SUnit. Several of the key classes are presented in chapters on Basic Classes, Collections, Streams and Morphic. A chapter dedicated to Seaside by Example introduces web application development with the popular Seaside framework.
The first edition of the book concludes with chapters on Classes and Metaclasses, Reflection and Frequently Asked Questions.
An open book
This book is open in the following senses:
- You can also order a softcover copy of the book from Lulu or Amazon. You can also pay for the PDF from the same web site, if you like, but you are under no obligation! (We are happy if you would like to make a contribution.)
- The content of this book is released under a Creative Commons Attribution-ShareAlike license. In short, you are allowed to freely share and adapt this book, as long as you respect the conditions of the license. You may download the LaTeX sources from the publicly-accessible github repository.
- Source code of various projects described in the book is available as open-source from SqueakSource.
We would like to see this book grow! We encourage you to contribute chapters on the parts of Pharo that we have not described. If you would like to participate, please contact us.


Installing Sphinx¶
Overview¶
Sphinx is written in Python and supports Python 3.5+. It builds upon the shoulders of many third-party libraries such as Docutils and Jinja, which are installed when Sphinx is installed.
Linux¶
Debian/Ubuntu¶
Install either python3-sphinx
using apt-get:
$ apt-get install python3-sphinx
If it not already present, this will install Python for you.
RHEL, CentOS¶
Install python-sphinx
using yum:
$ yum install python-sphinx
If it not already present, this will install Python for you.
Other distributions¶
Most Linux distributions have Sphinx in their package repositories. Usually
the package is called python3-sphinx
, python-sphinx
or sphinx
. Be
aware that there are at least two other packages with sphinx
in their name:
a speech recognition toolkit (CMU Sphinx) and a full-text search database
(Sphinx search).
macOS¶
Sphinx can be installed using Homebrew, MacPorts, or as part of a Python distribution such as Anaconda.
MacPorts¶
Install either python3x-sphinx
using port:
$ sudo port install py38-sphinx
To set up the executable paths, use the port select
command:
$ sudo port select --set python python38
$ sudo port select --set sphinx py38-sphinx
For more information, refer to the package overview.
Anaconda¶
$ conda install sphinx
Windows¶
Most Windows users do not have Python installed by default, so we begin with the installation of Python itself. To check if you already have Python installed, open the Command Prompt (⊞Win-r and type cmd). Once the command prompt is open, type python --version and press Enter. If Python is installed, you will see the version of Python printed to the screen. If you do not have Python installed, refer to the Hitchhikers Guide to Python’s Python on Windows installation guides. You must install Python 3.
Once Python is installed, you can install Sphinx using pip. Refer to the pip installation instructions below for more information.
Installation from PyPI¶
Sphinx packages are published on the Python Package Index. The preferred tool for installing packages from PyPI is pip. This tool is provided with all modern versions of Python.
On Linux or MacOS, you should open your terminal and run the following command.
$ pip install -U sphinx
On Windows, you should open Command Prompt (⊞Win-r and type cmd) and run the same command.
C:\> pip install -U sphinx
After installation, type sphinx-build --version on the command prompt. If everything worked fine, you will see the version number for the Sphinx package you just installed.
Installation from PyPI also allows you to install the latest development
release. You will not generally need (or want) to do this, but it can be
useful if you see a possible bug in the latest stable release. To do this, use
the --pre
flag.
$ pip install -U --pre sphinx
Docker¶
Docker images for Sphinx are published on the Docker Hub. There are two kind of images:
Former one is used for standard usage of Sphinx, and latter one is mainly used for PDF builds using LaTeX. Please choose one for your purpose.
Note
sphinxdoc/sphinx-latexpdf contains TeXLive packages. So the image is very large (over 2GB!).
Hint
When using docker images, please use docker run
command to invoke sphinx commands. For example,
you can use following command to create a Sphinx project:
$ docker run --rm -v /path/to/document:/docs sphinxdoc/sphinx sphinx-quickstart
And you can following command this to build HTML document:
$ docker run --rm -v /path/to/document:/docs sphinxdoc/sphinx make html
For more details, please read README file of docker images.
Installation from source¶
You can install Sphinx directly from a clone of the Git repository. This can be done either by cloning the repo and installing from the local clone, on simply installing directly via git.
$ git clone https://github.com/sphinx-doc/sphinx
$ cd sphinx
$ pip install .
$ pip install git+https://github.com/sphinx-doc/sphinx
You can also download a snapshot of the Git repo in either tar.gz or zip format. Once downloaded and extracted, these can be installed with pip as above.


What night is Club night? Club night is Tuesdays 19.40 until 22.20. Any visitor will be expected to pay a visitors fee.
Must I be of a particular standard to attend club nights? We are flexible on standard, however, to be fair to other club members you should be better than complete
beginner. If in doubt, please come along and observe the standard of play or contact us via email.
Are there any teams I can join? Yes. we have 1 ladies, 1 mixed and 2 open teams in the Basingstoke League (BDBL). Some of our members
are also asked to represent the Basingstoke League teams (ladies and mens) which participate in the
Aldershot and Camberley League (ACDBL).
http://www.acdbl.co.uk
What happened to the Mens team?
The Basingstoke League (BDBL) voted at it's 2014 AGM to replace the Mens divisions with Open divisions.
Most clubs will probably still field mostly men in these teams, but the team is open to men and women.
For example, a team could consist of 5 men and 1 woman, 3 mixed pairs, or 6 women. The club can vary
the team's make up from match to match and there is no requirement for two competing teams to compose
of the same combination of men and women.
What is the Open team? See "What happened to the Mens team" above.
Will the new scoring system be used?
The proposed changes to the scoring system (games played to 11 instead of 21) will not affect the BDBL
in the 2014/15 season. Games will still be played to 21 as before.
When is Match night? Match night is Tuesday also. This season we have combined club and match night in order to make the
club even more sociable and so we can support our teams more easily. Due to the number of teams there
are some overflow matches which are generally played on a Thursday night at The Sports Centre.
Are there any tournaments in the area? All the leagues run their own tournaments throughout the season and so there is plenty of opportunity
for tournament play (Open & Handicapped) as long as you are a paid up member of a club registered
to play in that league.


Copyright (c) 2006–2013 Andy Matuschak.
Copyright (c) 2009–2013 Elgato Systems GmbH.
Copyright (c) 2011–2014 Kornel Lesiński.
Copyright (c) 2014 C.W. Betts.
Copyright (c) 2014 Petroules Corporation.
Copyright (c) 2014 Big Nerd Ranch.
All rights reserved.
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.
=================
bspatch.c and bsdiff.c, from bsdiff 4.3 http://www.daemonology.net/bsdiff/:
Copyright (c) 2003–2005 Colin Percival.
sais.c and sais.c, from sais-lite (2010/08/07) https://sites.google.com/site/yuta256/sais:
Copyright (c) 2008–2010 Yuta Mori.
SUDSAVerifier.m:
Copyright (c) 2011 Mark Hamlin.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted providing that the following conditions
are met:
1. Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.

Except as noted below, PLCrashReporter is provided under the
following license:
Copyright (c) 2008 - 2014 Plausible Labs Cooperative, Inc.
All rights reserved.
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.
Additional contributions have been made under the same license terms
as above, with copyright held by their respective authors:
Damian Morris<EMAIL_ADDRESS>Copyright (c) 2010 MOSO Corporation, Pty Ltd.
All rights reserved.
HockeyApp/Bitstadium
Copyright (c) 2012 HockeyApp, Bit Stadium GmbH.
All rights reserved.
The protobuf-c library, as well as the PLCrashLogWriterEncoding.c
file are licensed as follows:
Copyright 2008, Dave Benson.
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.
The MIT License
Copyright (c) 2008–2009,2013 Ali Rantakari
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.


|
DigitalOwl
|
Poll answer service. More...
Public Member Functions | |
| PollAnswerService (IUnitOfWork unitOfWork, IMapper mapper) | |
| PollAnswer constructor. More... | |
| async Task< DtoResponseResult< DtoPollAnswer > > | CreateAsync (DtoPollAnswer dto, int userId) |
| Create a single answer. More... | |
| async Task< DtoResponseResult< IEnumerable< DtoPollAnswer > > > | CreateAsync (IEnumerable< DtoPollAnswer > collection, int userId) |
| Create set of answers. More... | |
| async Task< DtoResponseResult< IEnumerable< DtoPollAnswer > > > | GetAll (int questionId) |
| Get whole answer set from the particular question. More... | |
| async Task< DtoResponseResult< IEnumerable< DtoPollAnswer > > > | GetAll () |
| Get all available answers (not sure if it's going to be useful). More... | |
| async Task< DtoResponseResult< DtoPollAnswer > > | GetById (int answerId) |
| Find an answer with given Id. More... | |
| async Task< DtoResponseResult< DtoPollAnswer > > | UpdateAsync (DtoPollAnswer dto, int userId) |
| Update given answer. More... | |
| async Task< DtoResponse > | Delete (int answerId) |
| Delete the answer of given Id. More... | |
| Public Member Functions inherited from DigitalOwl.Service.Services.Base.BaseService | |
| BaseService (IUnitOfWork unitOfWork, IMapper mapper) | |
Additional Inherited Members | |
| Protected Attributes inherited from DigitalOwl.Service.Services.Base.BaseService | |
| readonly IUnitOfWork | _unitOfWork |
| readonly IMapper | _mapper |
Poll answer service.
Definition at line 17 of file PollAnswerService.cs.
| DigitalOwl.Service.Services.PollAnswerService.PollAnswerService | ( | IUnitOfWork | unitOfWork, |
| IMapper | mapper | ||
| ) |
PollAnswer constructor.
| unitOfWork | |
| mapper |
Definition at line 24 of file PollAnswerService.cs.
| async Task<DtoResponseResult<DtoPollAnswer> > DigitalOwl.Service.Services.PollAnswerService.CreateAsync | ( | DtoPollAnswer | dto, |
| int | userId | ||
| ) |
Create a single answer.
| dto | Object to be created. |
| userId | Id of the user creating an answer. |
Implements DigitalOwl.Service.Interface.IPollAnswerService.
Definition at line 34 of file PollAnswerService.cs.
| async Task<DtoResponseResult<IEnumerable<DtoPollAnswer> > > DigitalOwl.Service.Services.PollAnswerService.CreateAsync | ( | IEnumerable< DtoPollAnswer > | collection, |
| int | userId | ||
| ) |
Create set of answers.
| collection | Set of answers to be created. |
| userId | Id of the user creating list of answers. |
Implements DigitalOwl.Service.Interface.IPollAnswerService.
Definition at line 53 of file PollAnswerService.cs.
| async Task<DtoResponse> DigitalOwl.Service.Services.PollAnswerService.Delete | ( | int | answerId | ) |
Delete the answer of given Id.
| answerId | Id of an answer to be deleted. |
Implements DigitalOwl.Service.Interface.IPollAnswerService.
Definition at line 141 of file PollAnswerService.cs.
| async Task<DtoResponseResult<IEnumerable<DtoPollAnswer> > > DigitalOwl.Service.Services.PollAnswerService.GetAll | ( | int | questionId | ) |
Get whole answer set from the particular question.
| questionId | Desired answers' question Id. |
Implements DigitalOwl.Service.Interface.IPollAnswerService.
Definition at line 75 of file PollAnswerService.cs.
| async Task<DtoResponseResult<IEnumerable<DtoPollAnswer> > > DigitalOwl.Service.Services.PollAnswerService.GetAll | ( | ) |
Get all available answers (not sure if it's going to be useful).
Implements DigitalOwl.Service.Interface.IPollAnswerService.
Definition at line 89 of file PollAnswerService.cs.
| async Task<DtoResponseResult<DtoPollAnswer> > DigitalOwl.Service.Services.PollAnswerService.GetById | ( | int | answerId | ) |
Find an answer with given Id.
| answerId | Answer Id. |
Implements DigitalOwl.Service.Interface.IPollAnswerService.
Definition at line 101 of file PollAnswerService.cs.
| async Task<DtoResponseResult<DtoPollAnswer> > DigitalOwl.Service.Services.PollAnswerService.UpdateAsync | ( | DtoPollAnswer | dto, |
| int | userId | ||
| ) |
Update given answer.
| dto | Updated version of an object. |
| userId | Id of the user updating an answer. |
Implements DigitalOwl.Service.Interface.IPollAnswerService.
Definition at line 119 of file PollAnswerService.cs.


This is a local web-interface for ION Racing UiS. For the official website please go to this site instead. (Not working due to domain issues...)


">
Pig-Dice
Pig Dice Dual Game.
Player One:
Player Two:
START
REFRESH
NEW GAME
Player 1:
Roll
Hold
Dice Roll:
Round Total:
Total Score:
Player 2:
Roll
Hold
Dice Roll:
Round Total:
Total Score:


Tell us who you are and keep the party's up!
Make up one with a few simple step and join the fun with us!


Enter a name for the incident
Locating...
Submit proper coordinates: latitude [-90,90] and longitude [-180, 180]
There was an error submiting the incident. Review the data or try again later


- Cloudera Distribution Including Apache Hadoop (CDH), with Cloudera Manager (CM)
- Hortonworks Data Platform (HDP)
- Amazon Elastic MapReduce (Amazon EMR)
- MapR
- Azure HDinsight
Clusters
- Step 1: Install Unravel Server for Azure HDinsight Cluster
- Step 2: Use Script Action to Configure HDinsight Cluster for Unravel
- Step 3: Create Unravel VM Using ARM template
- Step 4: ARM template for Spark2 HDinsight cluster with Unravel Script Actions
- Step 5: ARM Template for Kafka Cluster with Unravel Script Actions
- Updating Unravel Installation
- Install Unravel HDInsight app
- MySQL
For more information on installations and configurations see Advanced Topics.


Two Objects Share One Set of Data
Version One
Press first one button then the other see how to share data between two objects.
Change Player
Show Player


Hello,
I'm Pratyay!
I am a CS research student at IIIT-H.
I am a tech enthusiast and hobbyist graphic designer.
I currently live in Thane, Maharashtra.
My Personal Interests
- I am a big foodie, the 'live to eat' kind.
- I am really into graphic design, allow me to flex a bit: I've designed the May 2021 Ping! magazine cover page, the UG2K20 batch logo (unofficial) and recently, the cover page for a book my grandma has written. I want to get into UI/UX too in the near future.
- I play a few musical instruments but at a very basic level, namely, the keyboard, the flute and the marching-snare-drum.
- In school, I was really into dramatics, participated in a lot of big inter-school events, doing improv and comedy skits mostly.
- The two sports I follow closely are Chess and Sumo Wrestling (possibly the most atypical brains-and-brawn combination)
- I am a FOSS enthusiast (i use arch btw)
- I love watching anime, it is a fantastic visual medium, lots of really creative projects going on all the time.
- I don't particularly care about music, anything that sounds good to me is good enough.
My Design Work
Here is a 5-image carousel showcasing some of my design work
May 2021 Ping! Magazine Cover
I made this cover page to symbolise the desire of students to return to campus, during the COVID-19 quarantine period.
The campus is represented as Jagruti, the famous Banyan tree which the institute logo is based on.
Random Weird Statues
Lastly, here are two wacky looking statues I've come across while travelling (images linked externally)
A rather unique artistic take on Michelangelo's David
Heard of unicorns? Here's a uniphant!


DashCore fully integrates with multiple tools, it will make your customization experience a breeze
From a simple HTML page to a complete module bundler, even a task runner, DashCore comes with ease integration for every need
Join DashCoreHow it Works?
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 Rerum blanditiis pariatur excepturi provident molestias, ea non! Nesciunt impedit quo blanditiis.
Activity
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Components
All its components share a core styling, this will allow to share multiple components where you need
Ready to get started?


What happens next?
Stage 1
You have already applied directly to the European Commission for an EU grant. Once you have heard the outcome of your EU grant application you must:
- log into your Innovation Funding Service account
- tell us if you have been successful or unsuccessful
- enter your EU grant application number which is printed on your grant letter
- scan and upload a copy of your EU grant letter
Verification checks
We will then undertake background compliance checks on your organisation. We will do checks on all consortia partners you plan to work with on your project. Once these are complete, we will contact you.
Stage 2
If your application is successful
You will proceed to stage 2 of our process. You will be asked to set up your project and provide us with additional project contact details. We will ask further information from the Project Manager and finance contacts for each organisation in your project, including:
- re-confirmation of your project location
- your organisation’s bank (BACS) details if you are based in the UK
- your international bank account number (IBAN) details if you are based in a British Overseas Territory
- a profile of your project spend
- a collaboration agreement if you are partnering with a consortia
- an exploitation plan
If your application is unsuccessful
After registering your Horizon Europe UK Application, you may still be unsuccessful.
This programme is an open ended competition for government-backed funding. You can still submit applications to us to support any new EU grant applications you make in the future. We allow you to make unlimited UK applications to us to help support your EU grant applications.
Application feedback
Since we do not assess your application for EU grants we do not provide individual feedback. We support your EU grant applications by underwriting them with government-backed funding.
You can give feedback to help us improve this service. This should take no more than 2 minutes.
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Back to newcanopies
Intercontinental flights from Paris (CDG):
(Static frame with dynamic scroll)
OPTIMIZATION CONSIDERATIONS:
- Tile layers support fast visualization of large data sets
- Feature layers are more flexible and interactive than tile layers
but slower drawing times due to frequent app requests to source data
tip: for more than 4,000 data point features or 2,000 line/polygon features, or size over 10 MB, publish maps as
hosted feature layer
TYPES OF MAP SERVICES
- WMS (Web Mapping Service): similar to ArcGIS, generates defined bounds & features image, processing intensive
- WFS (Web Feature Service): provides the vector features to the browser to display, selectable & editable
Intercontinental flights from Vancouver (YVR) and Dubai (DXB):
(Responsive frame with custom marker Luxembourg)


AVSampleProcessor
public protocol AVSampleProcessor
To be implemented if custom image processing is needed. Methods only need to be implemented; SwiftyTesseractRTE will call the methods internally when passed as a dependency during initialization
-
Converts CMSampleBuffer into a grayscale UIImage.
Declaration
Swift
func convertToGrayscaleUiImage(from sampleBuffer: CMSampleBuffer) -> UIImage?
Parameters
sampleBuffer
The incoming
CMSampleBuffer
from the AVCaptureSessionReturn Value
An optional grayscale
UIImage
-
Crops transformed UIImage to the bounds of internal AVCaptureVideoPreviewLayer
Declaration
Swift
func crop(_ image: UIImage, toBoundsOf previewLayer: AVCaptureVideoPreviewLayer) -> UIImage?
Parameters
image
The
UIImage
output fromconvertToGrayscaleUiImage(from:)
previewLayer
Internal
SwiftyTesseractRTE AVCaptureVideoPreviewLayer
Return Value
Cropped UIImage
-
Crops pre-cropped
UIImage
to the bounds of areaOfInterest. The areaOfInterest must be located within the bounds of the AVCaptureVideoPreviewLayer or recognition will not be properly performed.Declaration
Swift
func crop(_ image: UIImage, toBoundsOf areaOfInterest: CGRect, containedIn previewLayer: AVCaptureVideoPreviewLayer) -> UIImage?
Parameters
image
The pre-cropped image from
crop(output:toBoundsOf:)
areaOfInterest
The area within the
AVCaptureVideoPreviewLayer
to explicitly perform recognition onpreviewLayer
Internal `SwiftyTesseractRTE
Return Value
Final
UIImage
ready for OCR


The options HilbertFunctionLowerBound, HilbertFunctionUpperBound, HilbertFunctionLowerBound, HilbertDifferenceLowerBound, and HilbertPolynomial are arguments to maxBettiNumbers. Each of these options, other than HilbertPolynomial, are a list of integers starting at degree 0. In the case where a value is not given, the corresponding constraint is removed (i.e. made the trivial constraint). Note: if HilbertPolynomial is not specified, HilbertFunctionLowerBound and HilbertFunctionUpperBound must be equal for large degrees.
In the case where no lower bound is desired at a specified degree, 0, null, or nothing can be put instead. For instance, to specify only a lower bound of 4 in degree 3 on the Hilbert difference function, the option HilbertDifferenceLowerBound=>{,,,4} can be used.
Similarly, in the case where no upper bound is desired at a specified degree, infinity, null, or nothing can be put instead. For instance, to specify only a upper bound of 4 in degree 3 on the Hilbert function, the option HilbertFunctionUpperBound=>{,,,4} can be used.
There are some instances when these options, along with HilbertPolynomial conflict. In this case, an error is raised.


Struct vrt_if_context¶
Defined in File vrt_types.h
Struct Documentation¶
-
struct
vrt_if_context
¶ Context section data.
Public Members
-
bool
context_field_change_indicator
¶ True if this packet contains new context information.
- Note
In the standard this is sometimes called ‘indicator’ and sometimes ‘identifier’.
- Note
Since over-range count isn’t a persistent field, and individual user-defined fields may not be persistent, do not mark a packet as changed when only those field changes.
-
struct vrt_context_indicators
has
¶ Field presence indicators.
-
uint32_t
reference_point_identifier
¶ Stream ID of for which the context packet applies.
-
double
bandwidth
¶ Bandwidth [Hz].
- Note
Negative values are not valid.
- Warning
This may lead to loss of precision, since the underlying VRT fixed point format has 64 bits while a double only has 53 bits of precision.
-
double
if_reference_frequency
¶ Center frequency [Hz].
- Warning
This may lead to loss of precision, since the underlying VRT fixed point format has 64 bits while a double only has 53 bits of precision.
-
double
rf_reference_frequency
¶ Original center frequency before translation [Hz].
- Warning
This may lead to loss of precision, since the underlying VRT fixed point format has 64 bits while a double only has 53 bits of precision.
-
double
rf_reference_frequency_offset
¶ Original frequency is the sum of this and rf_reference_frequency [Hz].
- Warning
This may lead to loss of precision, since the underlying VRT fixed point format has 64 bits while a double only has 53 bits of precision.
-
double
if_band_offset
¶ Offset from IF reference frequency to center of the band [Hz]. Band center is the sum of this and if_reference_frequency.
- Warning
This may lead to loss of precision, since the underlying VRT fixed point format has 64 bits while a double only has 53 bits of precision.
-
float
reference_level
¶ Physical signal amplitude at the Reference Point [dBm].
-
uint32_t
over_range_count
¶ Number of over-range samples, i.e. samples with too high amplitude.
-
double
sample_rate
¶ Sample rate [Hz].
- Warning
This may lead to loss of precision, since the underlying VRT fixed point format has 64 bits while a double only has 53 bits of precision.
-
uint64_t
timestamp_adjustment
¶ System signal processing time [ps]. Offset from reference point time.
-
uint32_t
timestamp_calibration_time
¶ Time when timestamp was known to be correct, i.e. calibrated [s]. Represented in the same way as the TSI field.
-
float
temperature
¶ Temperature of some component in the signal chain that may affect the signal.
-
struct vrt_device_identifier
device_identifier
¶ Identifies device carrying a context packet stream.
-
struct vrt_state_and_event
state_and_event_indicators
¶ Conveys state information.
-
struct vrt_data_packet_payload_format
data_packet_payload_format
¶ Describes formatting of data stream in data packets.
-
struct vrt_formatted_geolocation
formatted_gps_geolocation
¶ GPS information.
-
struct vrt_formatted_geolocation
formatted_ins_geolocation
¶ INS information.
-
struct vrt_ephemeris
ecef_ephemeris
¶ ECEF (earth-centered, earth-fixed) coordinates.
-
struct vrt_ephemeris
relative_ephemeris
¶ Coordinates with user defined point of reference.
-
uint32_t
ephemeris_reference_identifier
¶ Stream ID of relative ephemeris origin.
-
struct vrt_gps_ascii
gps_ascii
¶ GPS ASCII positional information.
-
struct vrt_context_association_lists
context_association_lists
¶ Describes which data packets are associated to this context packet.
- Note
In the standard this is sometimes called ‘lists’ and sometimes ‘list’.
-
bool


YouTube Comment Classification
This project classifies the comments of YouTube into different categories based on the need of the content creator.
This project classifies the comments of YouTube into different categories based on the need of the content creator.
A project to visualize covid-cases of Nepal on a bar race chart.
A kaggle project to predict the possibility of heart disease on a patient.
It is an NLP project to classify poems into different categories.


{%extends 'bootstrap/base.html'%} {%block navbar%} {%include 'navbar.html'%} {%endblock%} {% block content %}
We are all a node, a center to a universe. With that connectivity here is Pitch App that let's you pitch in the provided categories and you never know that one minute could be the change in your life.
Create PitchPromotional pitches can provide an effective way to advertise you and what you do.
View PitchYour products need to really be visible to the world.Let your star shine and shine so
View PitchHere are the great pickup lines that should be included in your pitch
View Pitch


Check Off Shopping List
To Buy
Buy {{item.quantity}} {{item.name}}
Bought
{{toBuyItems.message}}
Already Bought
Bought {{item.quantity}} {{item.name}}
{{boughtItems.message}}


A self-constructing web app framework powered by a self-driving DOM.
Cell has one and only one design goal: Easy.

Here's the generated DOM tree, as viewed in Chrome inspector:
A couple of things to note from the code:
Cell has no API. 100% of your code will be vanilla Javascript, and there is no framework method or class to implement.
To use Cell, you simply define a variable that describes the DOM content and behavior.
When you follow the 3 rules below, Cell turns it into HTML.
When you define a Javascript object, its attributes map 1:1 to DOM attributes. So,
var node = {
id: "container",
class: "red"
}
maps to:

| Key | Description |
|---|---|
| $cell | Required. Tells Cell to create a cell element using this object as a root |
| $type | The type of element to create. (
div ,
form ,
textarea , etc.) |
| $components | Array of nested child nodes |
| $text | Text content inside the element (for simple nodes with no $components) |
| $html | Unescaped html content inside the element |
| $init | A function that auto-executes when the element gets created |
| $update | A function that auto-executes when any data stored inside the element changes |
For example,
var el = {
$cell: true,
$type: "div",
$components: [
{ $type: "span", $text: "Javascript" },
{ $type: "span", $text: "objective-c" },
{ $type: "span", $text: "ruby" },
{ $type: "span", $text: "java" },
{ $type: "span", $text: "lisp" }
]
}
becomes:

Javascript
objective-c
ruby
java
lisp

Cell lets you store data and application logic directly on HTML elements.
To define a variable on an element's context, simply prepend your attribute name with "_". Cell will treat it as data and make sure it doesn't affect the view.
el = {
$cell: true,
$type: "button",
type: "button",
$text: "Get next item",
onclick: function(e) { this._next() },
_next: function() {
this._index++;
this.$text = this._items[this._index];
},
_index: 0,
_items: ["javascript", "objective-c", "ruby", "java", "lisp"]
}
Here we use
_items
to store an array,
_index
to store an integer counter, and
_next
to store a function that will run this element by incrementing
_index
and iterating through
_items
.
When Cell loads, it first looks for all Javascript variables that have a
$cell
key.
When it finds one, it takes that blueprint object (called a
"Genotype"
in Cell) and creates a DOM tree (
"Phenotype"
) from it.
So far this is just a static DOM tree. To make it dynamic, you need to write a program that "remote controls" these HTML elements.
Normally Javascript frameworks maintain a separate centralized data structure and application context ( Model-View-Controller or some variation) that synchronizes with and controls HTML elements dynamically.
Cell takes a decentralized approach. It creates a DOM tree where each element is self-aware (It can contain
an entire Model-View-Controller environment of its own) and can therefore "drive" itself autonomously (Internally called
"Nucleus"
).
Instead of having a central master application control the DOM, Cell directly injects application context into each relevant HTML element so they can run on their own, independent from the outside world.
Learn more about the underlying architecture here.
Cell has no overarching framework that powers each and every corner of your app.
Normally web app frameworks maintain a central "Model-View-Controller" architecture (or similar) which takes care of everything throughout the app's lifecycle.
Cell works differently. It just creates the DOM and then goes away, because each HTML element it creates can self-drive itself with its own model-view-controller. Instead of controlling the DOM remotely with a framework's API, with Cell you control it directly and natively.
| Comparison | Frameworks before Cell | Cell |
|---|---|---|
| Control | Centralized | Decentralized |
| Structure | A master Model-View-Controller program that controls all the HTML elements | Each html element as the container of its own Model-View-Controller logic |
| Your App | Full of framework API syntax | Just a vanilla Javascript. No framework code. |
| Job | Manages everything throughout the entire app lifecycle | Runs exactly once at the beginning to create an autonomous DOM tree, and then goes away. |
Nowadays, just to make a simple web app you need to learn all kinds of middlemen technologies.
These tools were born out of necessity as web apps became more complex. But if you take a fundamentally different approach, you may not need them at all.
Here are some of the reasons why these middlemen have been necessary, and why Cell doesn't need them.
Normally web app frameworks let you use their API by extending or inheriting from their class. Cell has no class and no API method.
Most web app frameworks depend on other complex libraries (Don't forget to
npm install
before doing anything!) Cell doesn't depend on any library.
Just by choosing to use a framework you have already lost the war against dependency. From then on, you need to use
npm install
for every frontend Javascript library you need to use. Cell frees you from this loop and lets you use frontend Javascript libraries with simple


Resume
Andy Yin
5500 Wabash Avenue CM 2698
Terre Haute, IN 47803
<EMAIL_ADDRESS>(626)554-8522
Objective:
Internship opportunity, 2021 in the software engineering field
Education:
Bachelor of Science in Computer Science, Anticipated March 2024 Minor in Japanese Rose-Hulman Institute of Technology, Terre Haute, IN Status: Sophomore GPA: 3.50/4Experience:
Water Technology., Shanghai, China June 2018-August 2018
Data Monitoring Group Intern
- Organized data report for water monitoring data with skills in Excel and Word
- Worked with a group of engineers monitoring daily water quality
Skills:
- Experience with robotic programming
- Familiar with Java, JavaScript, C/C++, HTML, CSS, and Python
- Familiar with All Microsoft Office tools
- Skilled with Windows OS
- Excellent communication and people, teamwork skills
- Intermediate in Japanese, fluent in Chinese
Coursework:
- Fundamentals of Software development
- Object-Oriented Software Development
- Technical Communications
- Fundamentals of Computer Systems
- Data Structures and Algorithm Analysis
Project:
- VR Video game
- Personally worked on game environmental design and audio
- Finished the project with Unreal Engine 4


HELLO
WORK
PLAY
Elena Lee Gold. 25 years old, based in Brooklyn, NY. Caretaker of three spider plants, two aloe plants, a jade plant, and a cactus.


Upload raster data and easily create interactive quantitative risk analysis 'QRA' visualizations. Select from numerous color palettes, base-maps, and different configurations.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.10.0) |
| Imports: | htmlwidgets, leaflet, magrittr, miniUI, raster, scales, shiny, sp |
| Published: | 2016-09-24 |
| Author: | Paul Govan [aut, cre] |
| Maintainer: | Paul Govan <pgovan1 at aggienetwork.com> |
| BugReports: | https://github.com/paulgovan/qragadget/issues |
| License: | Apache License version 1.1 | Apache License version 2.0 | file LICENSE [expanded from: Apache License | file LICENSE] |
| URL: | https://github.com/paulgovan/qragadget |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | QRAGadget results |
| Reference manual: | QRAGadget.pdf |
| Package source: | QRAGadget_0.1.0.tar.gz |
| Windows binaries: | r-devel: QRAGadget_0.1.0.zip, r-release: QRAGadget_0.1.0.zip, r-oldrel: QRAGadget_0.1.0.zip |
| OS X binaries: | r-release: QRAGadget_0.1.0.tgz, r-oldrel: QRAGadget_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=QRAGadget to link to this page.


Lesson 14
00:01:25 Time-Series and Structured Data
& “Patient Mortality Risk Predictions in Pediatric Intensive Care, using RNN’s” (research)
00:07:30 Time-Series with Rossmann Store Sales (Kaggle)
& 3rd place solution with “a very uncool NN ;-)”.
00:18:00 Implementing the Rossman solution with Keras + TensorFlow + Pandas + Sklearn
Building Tables & Exploratory Data Analysis (EDA)
00:27:15 Digress: categorical variable encodings and “Vtreat for R”
00:30:15 Back to Rossmann solution
& “Python for Data Analysis” (book)
00:36:30 What Jeremy does everytime he sees a ‘date’ in a structured ML model
& other tips
00:43:00 Dealing with duration of special events (holidays, promotions) in Time-Series
00:52:00 Using ‘inplace=True’ in .drop(), & a look at our final ‘feature engineering’ results
00:53:40 Starting to feed our NN
& using ‘pickle.dump()’ for storage encodings
01:00:45 “Their big mistake” and how they could have won #1
01:05:30 Splitting into Training and Test, but not randomly
01:08:20 Why they modified their Sales Target with ‘np.log()/max_log_y’
01:11:20 A look at our basic model
01:14:45 Training our model and questions
01:16:45 Running the same model with XGBoost
01:20:10 “The really, really, really weird things here !”
& end of the Rossmann competition;-)
01:26:30 Taxi Trajectory Prediction (Kaggle) with “another uncool NN” winner
01:38:00 “Start with a Conv layer and pass it to an RNN” question and research
01:42:40 The 100-layers Tiramisu: Fully Convolutional Densenets, for Image Segmentation (Lesson 13 cont.)
01:58:00 Building and training the Tiramisu model
02:02:50 ENet and LINKNet models: better than the Tiramisu ?
02:04:00 Part 2: conclusion and next steps


When you work with us you are part of a team of commited collaborators.All aspects of our software developement process are intergrated,interactive and agile.
Our approach unifies design,development and product management to create exeptional products.
We start each project by understanding your business goals,the user's needs and the product requirements.
Then we help translate them into effective and elegant solutions.
Before we sign or write a line of code our team will spend the necessary time needed to understand your product vision.
The outcome of this scoping session is a proposal or high level statement of work.
Based on your requirements, we can provide a complete offering or just the pieces you need.
Our design practice offers a full range of services including brand strategy, interaction and visual design and user experience testing.
Throughout your project, our designers create and implement visual design and workflows, solicit user feedback and work with you to make sure what gets built is what is needed.
All engineers are fluent in the latest enterprise, mobile and web development technologies. They collaborate with your team to write, and improve code on a daily basis, using proven practices such as test-driven development and pair programming.
Planning and development is iterative. Because we are constantly coding and testing, the products we build are always ready to go live. This iterative process allows for changes as business requirements evolve.


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Ribs
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Screen Title
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Bacon
Bacon ipsum dolor amet pork belly meatball kevin spare ribs. Frankfurter swine corned beef meatloaf, strip steak.
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Screen Title


Reserved for use in the local header. 3rem, 36pt.
Use sparingly. Generally a max of one per URL, as the page title. 2.5rem, 30pt.
The standard section heading. 2rem, 24pt.
Use a sub heading. 1.5 rem, 18pt.
Sample paragraph. 1.25 rem, 15pt.
Sample paragraph. 1rem, 12pt.


Deuteronomy 31:30
And Moses spake in the ears of all the congregation of Israel the words of this song, until they were ended.


The simulation starts by selecting one species among the options below. The data will be automatically updated to the input section below, and can be edited, if necessary. The species characterisation is based on the book Marine Mammals of the World, by Jefferson A. Thomas, Stephen Leatherwood, and Marc A. Webber, published by FAO in 1993; the book Marine Mammals: Biology and Conservation, by Peter G. H. Evans and Juan Antonio Raga, published by Springer in 2012; and the Encyclopedia of Marine Mammals, by William F. Perrin, Bernd Würsig, and J. G. M. Thewissen, published by Academic Press in 2009.
Please insert the data for the four categories: species, study area, simulation and anthropogenic acitivities. Remember that the species section was automatically filled while chosing the species before. All of them have default values to ease the process. For more information, you can explore the information button. You will be able to return and change the inputs once you finished the simulation.


• A React application that allows users to build burgers with their favourite ingredients.
• Currently implementing more functionalities such as user authentication, checkout page and so on.
GitHub• A full-stack application that allows users to add their messages to the message board.
GitHub• A simple image-searching application with paging functionality built with React/Redux.
• Used Pixabay API for image searching.
GitHub• An application detects user locations (from browser or IP) and allows users to add pins to the map with their locations, messages and images.
• Used Amazon S3 to store images and return image urls.
Website GitHub• A betting application allowing users to watch, see upcoming, and bet against their friends on Esport matches using a proprietary currency called GG coins. It sources upcoming match data and results from PandaScore API. Twitch integration allows users to watch the matches right then and there and offers chatting with other viewers by WebSocket. The server will be responsible for not only determining winners and losers by the result provided by PandaScore, but also cancelling the bets if there are insufficient users in the bet when the match has started.
• Responsible for developing features such as bet winner and cancellation checking, backend routes implementation using Sequelize ORM to interact with the database, banking system of GG coins, and frontend components building including state management and props passing.
• Won first place in Lighthouse Labs August Public Demo Day.
GitHub• Schoodle is a full stack web application that allows users to create events and invite participants with a randomly generated event URL.
• This is a group project and I was responsible for the server and backend developing.
Website GitHub• Tweeter is a simple and single-page Twitter clone.
Website GitHub• A React Native application that shows all NBA players in a given year, their career statistics and images.
GitHub• Designed and implemented a web application for the creation and visualization of comic strips.
• Developed within a team of 4 and following Agile development methodologies.
Website• Worked within a team to design and implement server-side APIs and databases for different clients
• Involved in full life cycle development of applications including implementing, integrating and testing
• Developed functional web applications using Java, SpringMVC, and MySQL
Shenzhen, China
A full-time immersive web development program, covering topics such as JavaScript, React, Node.js, MongoDB, PostgreSQL, Ruby, Ruby on Rails, jQuery, HTML, CSS, and SASS.
Vancouver, British Columbia
Vancouver, British Columbia


rmdir
OS/161 Reference Manual
Name
rmdir - remove directory
Synopsis
/bin/rmdir directory
Description
rmdir removes the specified directory. The directory must be empty.
It is an error to attempt to remove the . or .. names in a directory,
or to apply rmdir to a filesystem object that is not a directory.
Requirements
rmdir uses the following system calls:
rmdir should function properly once the file system assignment is
completed.
Restrictions
emufs does not support rmdir. (This is
intentional.)
See Also
mkdir, rm


Warehouse Keeper Erviante:
Welcome! Thank you for visiting our warehouse. I give you my solemn word that we will keep your precious items safe, no matter the circumstances. Would you like to make a deposit?
[npc_%objectId%_Chat 1|Private Warehouse.]
[npc_%objectId%_Chat 2|Clan Warehouse.]
[npc_%objectId%_Multisell 631|Buy an item using Cube Fragments.]
[npc_%objectId%_Quest|Quest]


Q/E-Up/Down
W/S - Forward/Back
A/D - Left/Right
Left arrow/Right arrow - Rotate around y axis
Up arrow/right arrow - Rotate around x axis


Are you tired yet of dragging, bending, and breaking your axle u-bolts on rocks? Well flip your u-bolts to gain ground clearance and protect them from damage. I was able to do the u-bolt inversion for around $50 and it only took me a couple of hours.
The first thing that is needed to perform a u-bolt inversion are u-bolt plates from an 80s 1/2 ton Dodge pickup or Dodge Ramcharger. There are probably other sources for plates like these, but these plates are pretty easy to find. I purchased some u-bolt plates from an auto recycler for less than $20. You should be able to pick them up for next to nothing since they are not exactly an item that normally generates any revenue for an auto recycler.
The 80s Dodge Ramcharger and 1/2 ton pickup use a Dana 44 rear end, so the plates will work for for any Jeep with a Dana 44 or AMC 20 rear end. The CJ AMC 20 uses a slightly smaller tube, so you might want to grind the plates a bit to get a better fit. The Dodge trucks are spring over in the rear and the plates are curved to fit a Dana 44 with square u-bolts attaching the axle to the spring.
The Dodge plates have a shock mounted integrated into the plate. Since the plates are run upsidedown from the way they are run on the Dodge, the shock mount is really to high to be useful. I cut them off with a circular hand saw with a metal cutting blade.
After you have aquired some u-bolt plates, you need to get some u-bolts. I went to my local spring shop (Rocky Mountain Spring in the Springs) and had custom square u-bolts made 4" long and 2.5" wide. The cost was only $26 for these u-bolts.
The last item needed is some way to attach the shock to the axle. On CJs, the shock bolts to the u-bolt plate. What I did to resolve this problem was purchase some Con-Fer shock mounts for $5 and weld them to the axle tube. You could fabricate your own shock mounts and weld them on, but for the the price, it wasn't worth it to me. If you don't have access to a welder, it would probably only take a professional welder a few minutes to attach the shock mounts for you.
If the idea of welding shock mounts does not appeal to you, there is one other option that Chris Kutish came up with. Chris took a small piece of 3/4" steel and machined out grooves in it for the square u-bolts. Then he drilled it and tapped it for a replaceable shock mount stud. He also machined down the leading and trailing edges so it would slide over rocks easier. One advantage of this approach is the force of the u-bolts is spread out over the springs. This approach also keeps the shock a bit lower than the weld on brackets which may provide more articulation. A disadvantage of this approach is you lose about a quarter inch of ground clearance and it is much more time consuming to fabricate the plates than weld on the mount.
After the shock mount was welded on and painted, I put the Jeep on jack stands, removed the old u-bolts, put the plate on top of the axle tube, and bolted on the square u-bolts with the nuts on the top.
I first saw this u-bolt inversion done on a CJ-7 owned by Rick Borios.


A special quadrilateral; a parallelogram with interior angles of 90 ∘ .
Its opposite sides are equal in length and parallel.
It has two lines of symmetry, and its rotational symmetry is of order two.


File | Backup All Data provides a way of saving the entire database to a disk file in zip (compressed) format. The user will be presented with the standard Windows Save As dialog box to select the disk drive and path where the database is to be saved. As soon as you select “OK” the database will be written file by file using the pkzip utility. You will be notified when the backup has completed.


|
TrackracerAR
0.9.2
|
Start point of the build process. Player can choose whether to create a new track, load a track or download a track from the cloud. More...
Public Member Functions | |
| override void | EnterState () |
| Gets called when entering this state. For more info see GameManager class More... | |
| void | StartNewTrack () |
| Creates new session data and transitions to BuildPaintState More... | |
| void | LoadTrack () |
| Transitions to BuildLoadState More... | |
| void | ObserveTrack () |
| Transitions to BuildObserveDialogState More... | |
| void | Recalibrate () |
| Transitions back to CalibrateState More... | |
| Public Member Functions inherited from State | |
| delegate void | InputActionHandler () |
| delegate void | TouchHandler (float x, float y) |
| void | SetParentStateMachine (StateMachine _sm) |
| virtual void | SetActive (bool _active) |
| virtual void | UpdateActive (double _deltaTime) |
| Override this as your Update Function in the State. Is only called when the current state is active More... | |
| virtual void | ExitState () |
| Gets called when exiting this state. For more info see GameManager class More... | |
Protected Member Functions | |
| override void | Initialise () |
| Override this as your Awake/Start/Init Function. Is called when this State is added to a StateMachine More... | |
Private Member Functions | |
| void | Construct ([Inject(Id="TrackParent")] ISplineManager _splineManager, IFeaturePointsManager _featurePointManager) |
Private Attributes | |
| IBuildStateMachine | m_buildSM |
| ISplineManager | m_splineManager |
| IFeaturePointsManager | m_featurePointManager |
Additional Inherited Members | |
| Protected Attributes inherited from State | |
| StateMachine | m_stateMachine |
| Properties inherited from State | |
| bool | Active [get, protected set] |
| Events inherited from State | |
| InputActionHandler | m_enteredState |
| InputActionHandler | m_exitedState |
Start point of the build process. Player can choose whether to create a new track, load a track or download a track from the cloud.
|
inlineprivate |
|
inlinevirtual |
Gets called when entering this state. For more info see GameManager class
Reimplemented from State.
|
inlineprotectedvirtual |
Override this as your Awake/Start/Init Function. Is called when this State is added to a StateMachine
Reimplemented from State.
|
inline |
Transitions to BuildLoadState
Implements IBuildDialogState.
|
inline |
Transitions to BuildObserveDialogState
Implements IBuildDialogState.
|
inline |
Transitions back to CalibrateState
Implements IBuildDialogState.
|
inline |
Creates new session data and transitions to BuildPaintState
Implements IBuildDialogState.
|
private |
|
private |
|
private |


Role Manager & Role Provider
You can include this library to your code file by typing the below code;
use Ness\Security\RoleManager
use Ness\Security\RoleProvider
Application Confiuration; app_config.php
Controller Configuration; Controller/indexController.php
- Contents
Required Namespace
- Ness
- Security
- RoleManager
- Security
- Ness
- Security
- RoleProvider
- Security
You can include this library to your code file by typing the below code;
use Ness\Security\RoleManager
use Ness\Security\RoleProvider
About Role Manager & Role Provider #top
Role Provider
This class is used to provide roles from database and set them in application register function. Role Manager class will access available roles and manage controller or Action permissions.Role Manager
A basic role mananer class for Ness Framework. You can get available roles from database and set them in application register function, to manage user accesses to specific controllers.Methods #top
FillRoles
RoleProvider::FillRoles(Array $roles);
| This function is used to fill roles with id and value from database. This is necessary for using role manager class. | ||
| Return | void | |
| Parameters | $roles Array; Set all roles to role provider class. Array key is id in database and value is a named provision of role You need to fill all roles in Application / Register() |
RequiredRoles
RoleProvider::RequiredRoles(Array $roles);
| This function is used to set required roles for controller or controller action. If you want to affect a whole controller with set role you must setup role manager in construct method. | ||
| Return | void | |
| Parameters | $roles Array; Required roles for a action in a controller or in whole controller. |
ProvidedRoles
RoleProvider::ProvidedRoles(Array $roles);
| This function is User's provided roles. Can be filled from database. Later you will have the opportunity to check it with isAuthorized method. | ||
| Return | void | |
| Parameters | $roles Array; provided roles for user. |
isAuthorized
RoleManager::isAuthorized();
| Checks if user is authorized. | ||
| Return | Boolean | |
| Parameters | None |
ClearRequired
RoleManager::ClearRequired();
| Clear All required roles. | ||
| Return | None | |
| Parameters | None |
Example #top
Let's say you have a Index controller and IndexAction, and 3 roles(User, Administrator, Guest) available totally. You have a 'x' user which has roles, (Guest, User) and wants to access IndexAction which requires role 'Administrator'. For checking if your user 'x' can access to IndexAction you need to do followings;
- Setup All Roles in Application Register
- Do a control in Index controller and IndexAction
- If Not Authorized show message or redirect.
Application Confiuration; app_config.php
/***********************************************
* Application Class
*/
class Application
{
/**
* This function is called automatically by framework on entry...
* You can do all your global object definitions or user-based settings...
*/
public function Register()
{
//Fill Roles
//We are filling manually, but you can get all roles from your database.
$data_set = array("1"=>"User", "2"=>"Administrator", "3"=>"Guest");
RoleProvider::FillRoles($data_set);
}
}
Controller Configuration; Controller/indexController.php
class indexController extends Ness/Controller{
public function __construct() {
parent::__construct();
//You can get required roles from database we will give manually in this example.
RoleProvider::RequiredRoles(array("2"=>"Administrator"));
//User's roles: you can get them from your database we will fill manually...
RoleProvider::ProvidedRoles(array("1"=>"User"));
//now make the controls. You can block all contents of a controller or you can
//allow your user some Actions. We will block our user to access index page.
}
public function IndexAction($param=0){
if(RoleManager::isAuthorized())
{
$this->View->Render("index.php");
}else{
echo "You are not allowed";
exit();
//Do redirections or anything else;
}
}
}
Reminder: In indexController.php controller RoleManager checks authorization for IndexAction, but you can control it in __construct and block all Controller actions.


[Project Name] Project Timeline
August 14th, 2013
Kickoff Meeting
View notes
August 9th, 2013
Sign contract
View contract
August 7th, 2013
Initial meeting
Meeting Notes
July 13th, 2013
Initial contact


Closure Library Demos
Log and Debug Demo
Open Debug Fancy Window
Log Messages
Notes Demo
Checklist Demo
Number of event listeners:
Number of checked items:


Variogram Point Cloud - tutorial¶
Table of Contents:¶
Read point data,
Set proper lag size with variogram cloud histogram,
Detect and remove outliers.
Calculate experimental semivariance from point cloud.
Level: Basic¶
Changelog¶
Date |
Change description |
Author |
|---|---|---|
2021-08-22 |
Refactored the Outlier Removal algorithm - quantile based algorithm |
@szymon-datalions |
2021-08-10 |
Refactored the Outlier Removal algorithm |
@szymon-datalions |
2021-05-11 |
Refactored TheoreticalSemivariogram class |
@szymon-datalions |
2021-03-31 |
Update related to the change of semivariogram weighting. Updated cancer rates data. |
@szymon-datalions |
Introduction¶
In this tutorial we will learn how to read and prepare data for semivariogram modeling, how to manually find the best step size between lags and how to detect outliers in our data which can affect final semivariogram.
Variogram Point Cloud analysis is an additional, basic data preparation step which may save you a lot of headache with more sophisticated analysis. You should learn about Variogram Point Cloud analysis before you move on to the semivariogram estimation and semivariogram fitting operations.
We use:
for point 1 and 2: DEM data which is stored in a file
sample_data/point_data/poland_dem_gorzow_wielkopolski
,for point 3: Breast cancer rates data is stored in the shapefile in folder
sample_data/areal_data/breast_cancer_rate_per_area_2.shp
.
Import packages¶
[1]:
import numpy as np
from collections import OrderedDict
import matplotlib.pyplot as plt
from pyinterpolate.io_ops import read_point_data
from pyinterpolate.io_ops import prepare_areal_shapefile, get_points_within_area
from pyinterpolate.distance.calculate_distances import calc_point_to_point_distance # We need this to find max distance between points
from pyinterpolate.semivariance import build_variogram_point_cloud, show_variogram_cloud, remove_outliers
from pyinterpolate.semivariance import calculate_semivariance, calc_semivariance_from_pt_cloud
1) Read point data¶
[2]:
dem = read_point_data('../sample_data/point_data/poland_dem_gorzow_wielkopolski', data_type='txt')
[3]:
# Look into a first few lines of data
dem[:10, :]
[3]:
array([[15.1152409 , 52.76514556, 91.27559662],
[15.1152409 , 52.74279035, 96.54829407],
[15.1152409 , 52.71070647, 51.25455093],
[15.1152409 , 52.70884354, 48.95828247],
[15.1152409 , 52.67137785, 16.81786346],
[15.1152409 , 52.6498506 , 16.29390526],
[15.1152409 , 52.62770238, 16.54066277],
[15.1152409 , 52.60596814, 19.45093346],
[15.1152409 , 52.60493317, 19.24267578],
[15.1152409 , 52.57823111, 45.66201019]])
2) Set proper lag size with variogram cloud histogram¶
In this step we generate Variogram Point Cloud. For each proposed lag algorithm assigns point’s values which are grouped in this lag. We check and compare few different lags and step sizes and their respective point clouds.
[4]:
# Create analysis parameters
# Check max distance between points
distances = calc_point_to_point_distance(dem[:, :-1])
maximum_range = np.max(distances)
number_of_lags = [4, 8, 16, 32]
step_sizes = [maximum_range / x for x in number_of_lags]
variogram_clouds = []
for step_size in step_sizes:
variogram_cloud = build_variogram_point_cloud(dem, step_size, maximum_range)
variogram_clouds.append(variogram_cloud)
Now we check how many points are grouped for each lag:
[5]:
for idx, lag in enumerate(number_of_lags):
print(f'Lags per area: {lag}')
print('')
var_cloud = variogram_clouds[idx]
for jdx, cloud in enumerate(var_cloud.keys()):
l = len(var_cloud[cloud])
print(f'Lag {cloud} has {l} points.')
print('\n###########\n')
Lags per area: 4
Lag 0.0 has 3949909 points.
Lag 0.08380184447417775 has 20797686 points.
Lag 0.1676036889483555 has 18499412 points.
Lag 0.25140553342253324 has 4247496 points.
###########
Lags per area: 8
Lag 0.0 has 1079563 points.
Lag 0.041900922237088876 has 7088626 points.
Lag 0.08380184447417775 has 10807462 points.
Lag 0.12570276671126662 has 11367804 points.
Lag 0.1676036889483555 has 9508578 points.
Lag 0.2095046111854444 has 5675518 points.
Lag 0.25140553342253324 has 1784288 points.
Lag 0.29330645565962216 has 225814 points.
###########
Lags per area: 16
Lag 0.0 has 289011 points.
Lag 0.020950461118544438 has 2030532 points.
Lag 0.041900922237088876 has 3599738 points.
Lag 0.06285138335563331 has 4740508 points.
Lag 0.08380184447417775 has 5457110 points.
Lag 0.1047523055927222 has 5745202 points.
Lag 0.12570276671126662 has 5724576 points.
Lag 0.14665322782981108 has 5401064 points.
Lag 0.1676036889483555 has 4788456 points.
Lag 0.18855415006689993 has 3905638 points.
Lag 0.2095046111854444 has 2851764 points.
Lag 0.23045507230398882 has 1739596 points.
Lag 0.25140553342253324 has 842102 points.
Lag 0.2723559945410777 has 314432 points.
Lag 0.29330645565962216 has 96070 points.
Lag 0.3142569167781666 has 14926 points.
###########
Lags per area: 32
Lag 0.0 has 79681 points.
Lag 0.010475230559272219 has 542666 points.
Lag 0.020950461118544438 has 1026014 points.
Lag 0.031425691677816656 has 1440430 points.
Lag 0.041900922237088876 has 1805876 points.
Lag 0.0523761527963611 has 2112990 points.
Lag 0.06285138335563331 has 2381936 points.
Lag 0.07332661391490554 has 2585548 points.
Lag 0.08380184447417775 has 2734352 points.
Lag 0.09427707503344997 has 2830336 points.
Lag 0.1047523055927222 has 2876046 points.
Lag 0.11522753615199441 has 2891310 points.
Lag 0.12570276671126662 has 2868114 points.
Lag 0.13617799727053884 has 2799360 points.
Lag 0.14665322782981108 has 2708154 points.
Lag 0.1571284583890833 has 2573354 points.
Lag 0.1676036889483555 has 2393586 points.
Lag 0.17807891950762772 has 2193686 points.
Lag 0.18855415006689993 has 1955112 points.
Lag 0.19902938062617218 has 1699222 points.
Lag 0.2095046111854444 has 1427606 points.
Lag 0.2199798417447166 has 1138918 points.
Lag 0.23045507230398882 has 865958 points.
Lag 0.24093030286326103 has 629300 points.
Lag 0.25140553342253324 has 415606 points.
Lag 0.2618807639818055 has 250084 points.
Lag 0.2723559945410777 has 153534 points.
Lag 0.2828312251003499 has 88892 points.
Lag 0.29330645565962216 has 45530 points.
Lag 0.30378168621889434 has 20132 points.
Lag 0.3142569167781666 has 6436 points.
Lag 0.32473214733743877 has 1230 points.
###########
Clarification:¶
Raw numbers are hard to analyze. But we can check those informations with boxplots and that we can learn more about the data:
[6]:
for idx, lag in enumerate(number_of_lags):
print(f'Lags per area: {lag}')
print('')
var_cloud = variogram_clouds[idx]
show_variogram_cloud(var_cloud, figsize=(12, 8))
print('\n###########\n')
Lags per area: 4
###########
Lags per area: 8
###########
Lags per area: 16
###########
Lags per area: 32
###########
Clarification:¶
Boxplots of each lag shows halved squared difference (semivariance) between all points grouped for specific lag. The box extends from the lower to upper quartile values of the data, with a line at the median. The whiskers extend from the box to show the range of the data. Flier points are those past the end of the whiskers. As you may observed we have multiple outliers in a dataset, especially for short- and medium-range semivariance values. This may indicate that dataset should be transformed before analysis. Other interesting fact is that from 8 lags we are able to see specific pattern at a distance 0.18. Variogram is not constant and there is one valley in it.
Why do we plot those boxplots?
To check outliers in a data.
To check if each distance is well represented by specific number of measurements. This is extremely important at a short-distance scale.
To gain initial idea how semivariogram may be look like.
For point 3.: we can check experimental semivariogram and compare it with those boxplots here. We will do it for 16 lags.
[7]:
search_radius = step_sizes[2]
max_range = maximum_range
exp_semivar = calculate_semivariance(data=dem, step_size=search_radius, max_range=max_range)
[8]:
# Plot experimental semivariogram
plt.figure(figsize=(12, 12))
plt.plot(exp_semivar[:, 0], exp_semivar[:, 1], 'o')
plt.title('Experimental semivariogram od DEM data')
plt.xlabel('Range - in degrees')
plt.ylabel('Semivariance')
plt.show()
Clarification:¶
As you may noticed experimental semivariogram has drop of semivariance at 0.2 degree range, which is very close to the drop of variogram point cloud.
3) Detect and remove outliers¶
With idea how Variogram Point Cloud works we can detect and “remove” outliers from our dataset. We use for it other dataset which represents the breast cancer rates in counties of Northeastern part of the U.S. Each county will be transformed into its centroid. Those centroids are not evenly spaced and we can expect that for some number of steps dataset may be modeled incorrectly.
[9]:
# Read and prepare data
areal_data_file = '../sample_data/areal_data/cancer_data.shp'
areal_id_column_name = 'FIPS'
areal_val_column_name = 'rate'
areal_data = prepare_areal_shapefile(areal_data_file,
id_column_name=areal_id_column_name,
value_column_name=areal_val_column_name)
[10]:
areal_centroids = areal_data[:, -3:]
[11]:
# Create analysis parameters
# Check max distance between points
distances = calc_point_to_point_distance(areal_centroids[:, :-1])
maximum_range = np.max(distances)
number_of_lags = [4, 8, 16, 32]
step_sizes = [maximum_range / x for x in number_of_lags]
variogram_clouds = []
for step_size in step_sizes:
variogram_cloud = build_variogram_point_cloud(areal_centroids, step_size, maximum_range)
variogram_clouds.append(variogram_cloud)
[12]:
for idx, lag in enumerate(number_of_lags):
print(f'Lags per area: {lag}')
print('')
var_cloud = variogram_clouds[idx]
for jdx, cloud in enumerate(var_cloud.keys()):
l = len(var_cloud[cloud])
print(f'Lag {cloud} has {l} points.')
print('\n###########\n')
Lags per area: 4
Lag 0.0 has 6893 points.
Lag<PHONE_NUMBER>116966 has 26756 points.
Lag<PHONE_NUMBER>233932 has 11382 points.
Lag<PHONE_NUMBER>350899 has 1962 points.
###########
Lags per area: 8
Lag 0.0 has 2153 points.
Lag<PHONE_NUMBER>058483 has 11272 points.
Lag<PHONE_NUMBER>116966 has 14320 points.
Lag<PHONE_NUMBER>175449 has 10398 points.
Lag<PHONE_NUMBER>233932 has 5324 points.
Lag<PHONE_NUMBER>292415 has 2544 points.
Lag<PHONE_NUMBER>350899 has 822 points.
Lag 1054249.931040938 has 236 points.
###########
Lags per area: 16
Lag 0.0 has 577 points.
Lag 75303.56650292415 has 3670 points.
Lag<PHONE_NUMBER>058483 has 5760 points.
Lag<PHONE_NUMBER>0877246 has 7052 points.
Lag<PHONE_NUMBER>116966 has 7268 points.
Lag<PHONE_NUMBER>1462074 has 6482 points.
Lag<PHONE_NUMBER>175449 has 5298 points.
Lag<PHONE_NUMBER>20469 has 3738 points.
Lag<PHONE_NUMBER>233932 has 2632 points.
Lag<PHONE_NUMBER>263174 has 1854 points.
Lag<PHONE_NUMBER>292415 has 1250 points.
Lag<PHONE_NUMBER>321657 has 728 points.
Lag<PHONE_NUMBER>350899 has 398 points.
Lag<PHONE_NUMBER>380139 has 224 points.
Lag 1054249.931040938 has 110 points.
Lag 1129553.4975438623 has 42 points.
###########
Lags per area: 32
Lag 0.0 has 249 points.
Lag 37651.783251462075 has 1052 points.
Lag 75303.56650292415 has 1814 points.
Lag<PHONE_NUMBER>5438623 has 2398 points.
Lag<PHONE_NUMBER>058483 has 2876 points.
Lag<PHONE_NUMBER>5731037 has 3280 points.
Lag<PHONE_NUMBER>0877246 has 3530 points.
Lag<PHONE_NUMBER>602345 has 3674 points.
Lag<PHONE_NUMBER>116966 has 3656 points.
Lag<PHONE_NUMBER>631587 has 3494 points.
Lag<PHONE_NUMBER>1462074 has 3306 points.
Lag<PHONE_NUMBER>6608283 has 2974 points.
Lag<PHONE_NUMBER>175449 has 2618 points.
Lag<PHONE_NUMBER>6900697 has 2274 points.
Lag<PHONE_NUMBER>20469 has 1840 points.
Lag<PHONE_NUMBER>719312 has 1522 points.
Lag<PHONE_NUMBER>233932 has 1314 points.
Lag<PHONE_NUMBER>748552 has 1110 points.
Lag<PHONE_NUMBER>263174 has 928 points.
Lag<PHONE_NUMBER>777794 has 780 points.
Lag<PHONE_NUMBER>292415 has 636 points.
Lag<PHONE_NUMBER>807036 has 502 points.
Lag<PHONE_NUMBER>321657 has 340 points.
Lag<PHONE_NUMBER>836277 has 268 points.
Lag<PHONE_NUMBER>350899 has 192 points.
Lag<PHONE_NUMBER>865519 has 152 points.
Lag<PHONE_NUMBER>380139 has 114 points.
Lag 1016598.147789476 has 70 points.
Lag 1054249.931040938 has 60 points.
Lag 1091901.7142924003 has 36 points.
Lag 1129553.4975438623 has 18 points.
Lag 1167205.2807953244 has 10 points.
###########
[13]:
for idx, lag in enumerate(number_of_lags):
print(f'Lags per area: {lag}')
print('')
var_cloud = variogram_clouds[idx]
show_variogram_cloud(var_cloud, figsize=(12, 8))
print('\n###########\n')
Lags per area: 4
###########
Lags per area: 8
###########
Lags per area: 16
###########
Lags per area: 32
###########
Clarification¶
There are some outliers in a dataset! To get rid of them we will remove all TOP values which are further away from the mean than 2 standard deviations (for each lag).
[14]:
cloud_without_outliers = remove_outliers(variogram_clouds[2], exclude_part='top')
[15]:
show_variogram_cloud(cloud_without_outliers, figsize=(12, 8))
[16]:
show_variogram_cloud(variogram_clouds[2], figsize=(12, 8))
Clarification:¶
Compare y axis of two figures above. Upper figure is cleaned from outliers and lower has those values. Maximum on y axis for the upper is 1000, for the lower is 5000. Experimental semivariogram smooths outliers from initial dataset and you may compare y axis of experimental semivariogram with both variogram clouds to see it.
[17]:
.# Experimental semivariogram
search_radius = step_sizes[1]
max_range = maximum_range
exp_semivar = calculate_semivariance(data=areal_centroids, step_size=step_sizes[2], max_range=maximum_range)
# Plot experimental semivariogram
plt.figure(figsize=(12, 12))
plt.plot(exp_semivar[:, 0], exp_semivar[:, 1], 'o')
plt.title('Experimental semivariogram of breast cancer rates in the Northeastern U.S. counties dataset')
plt.xlabel('Range - in meters')
plt.ylabel('Semivariance')
plt.show()
4) Calculate experimental semivariogram from point cloud.¶
You may calculate semivariogram directly, like in the cell above, or from the point cloud. Latter is useful when you perform outliers detection and you remove some of them. Let’s check it for our dataset without outliers.
[18]:
experimental_semivariogram_from_pt_cloud = calc_semivariance_from_pt_cloud(cloud_without_outliers)
[19]:
# Plot experimental semivariogram
plt.figure(figsize=(12, 12))
plt.plot(experimental_semivariogram_from_pt_cloud[:, 0], experimental_semivariogram_from_pt_cloud[:, 1], 'o')
plt.title('Experimental semivariogram of breast cancer rates in the Northeastern U.S. counties dataset. Outliers were removed from each lag.')
plt.xlabel('Range - in meters')
plt.ylabel('Semivariance')
plt.show()
As you may noticed, shape of the semivariogram is preserved but values of semivariance are much smaller for the data without outliers.
5) What next?¶
From this point you may look into Outliers and Their Influence on the Final Model (Intermediate) notebook where we are exploring the variogram point clouds further.


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v1.0.2
The die detector API receives an image file in the following formats:
The die detector API returns a String containing the predicted class:
The Classes are: {d10, d12, d20, d4, d6, d8}


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Steve Bruce hails Aston Villa midfielder John McGinn ahead of reunion
by Tom ProcterNewcastle United manager Steve Bruce has heaped praise on Aston Villa star John McGinn, ahead of their reunion on Monday.
The teams face off in the Premier League, and Bruce has admitted the impressive Scotland international is one of his best-ever signings.
McGinn cost just £2 million from Hibernian in the summer of 2018 when Bruce was in charge at Villa Park, but his performances in the Championship and now the Premier League have seen his value soar to around £50 million (Metro).
McGinn has been linked with a move to Premier League giants Manchester United, and Bruce believes he is more than good enough to play for the Red Devils.
He said (Telegraph): “He has to be one of my best-ever signings because he has the determination to do well.
“Yes, he can play at that level [Manchester United]. From what he has done in the last 12 months, he can only improve… he has done brilliantly. I always knew he would be good, but he has surpassed even my expectations.
“He can go on to become a really top player. I wish I could find a few more like him. He scored twice again for Scotland the other night, so that’s six in three games.”
TBR’s view – A gift from Bruce
It didn’t work out for Bruce at Villa, but supporters have to give him huge credit for bringing McGinn to their club.
The 25-year-old is one of the best players to grace Villa Park in years, and his £2 million fee is almost impossible to believe given his quality and consistency in the top-flight.
The most realistic of Villa supporters will know it will be difficult for McGinn to stay at the club long-term, and will enjoy him while they can before he is inevitably poached.
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Interfaces
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A movie in which a boy named Max dreams of a world where two characters named Sharkboy and Lavagirl find Max and have him help them save a planet named Planet Drool where Max's real teacher Mr. Electricidad is the electrician, Mr. Electric and is corrupting Planet Drool.
The characters later escape the dream and Mr. Electric travels to Earth planning to kill Max who is a threat to Mr. Electric because of his ability to control the dream.


| 1286 | (A) | So ware þay bargande & boughte with bale owt of lande |
| 1280 | (C) | So were þey bargeyned & bowȝte . & browȝte out of lyfe |
| 1273 | (D) | So they hym bargeynid and bogħt & brogħt out of londe |
| 1249 | (E) | ¶ Thus were they bougħt & soold . & brougħt owt of þat londe |
| (Ex) | ---- no text ---- | |
| 1315 | (L) | so were þey bargayned & bouȝt & broȝt out of londe |
| (P) | ---- no text ---- | |
| 1255 | (U) | So thei were bargaynd and bougħt / and brought out of londe |
| 351 | (V) | So were þey bargained and bought . and dreven out of londe |