--- layout: default title: Download slug: download lead: There are various ways to download Zeal, depending on which operating system you use, and whether you want to use pre-compiled binary, or build it yourself from the source code. ---
Use this installer to conveniently install Zeal as any other app.
64-bit MSI (26.9 MB) 32-bit MSI (22.7 MB)
This is a special build intended for use without installation. All settings and docsets are stored in the application directory.
64-bit 7Z (20.1 MB) 64-bit ZIP (30.4 MB) 32-bit 7Z (16.9 MB) 32-bit ZIP (25.5 MB)
Chocolatey is a package manager for Windows.
To install Zeal run:
> choco install zeal
Alternatively you can install the portable version:
> choco install zeal.portable
Scoop is a command-line installer for Windows.
First you need to enable extras bucket, if that was not done before:
> scoop bucket add extras
To install Zeal run the following command:
> scoop install zeal
Scoop can also install Visual C++ 2015 Redistributable:
> scoop install vcredist2015
In addition to the stable builds continious integration system automatically publishes prebuilt artifacts on each push to the main repository.
These builds can be useful for testing unreleased changes, but are not intended for daily use, and are likely to crash more often than stable releases.
To download a build artifact in the CI build history choose a change you want to test, then pick a build job corresponding the target platform, and finally download archive from the Artifacts tab.
Prebuilt packages are provided for variety of Linux distributions.
Some of the packages are maintained by Zeal developers, while others are courtesy of independent contributors.
In case your favourite distribution is missing from the list, please, open an issue ticket in our
zeal-packaging
repository.
Arch Linux users can install zeal
from AUR
Or use the zeal-git
AUR package which builds unstable source code from our Git repository.
Install Zeal from the official repositories:
$ sudo apt-get install zealView Debian packages
Install Zeal from the official Fedora software repositories.
$ sudo dnf install zealView Fedora package
Install the official Zeal package for Gentoo:
# emerge app-doc/zealView Gentoo package
Zeal is part of the official openSUSE software repositories.
View openSUSE packageA SlackBuild script is available for users of Slackware.
View SlackBuilds.orgInstall Zeal from the official repositories:
$ sudo apt-get install zeal
When the official package becomes outdated, our own PPA repository provides an up-to-date version. Run the following commands to use the PPA:
$ sudo add-apt-repository ppa:zeal-developers/ppa
$ sudo apt-get update
$ sudo apt-get install zeal
appmenu-qt5
package, Zeal main menu might be missing on desktop environments other than Unity.
A simple solution is to remove appmenu-qt5
package from your system.
Install Zeal from ports:
# cd /usr/ports/devel/zeal/ && make install clean
Or install Zeal binary package:
# pkg install zealView FreeBSD Ports View FreshPorts
Install Zeal with:
# pkg_add zealView OpenBSD Ports
Complete source code is available on GitHub. To build Zeal follow instruction in the README.md
file.


importance: 5
Write a function printNumbers(from, to) that outputs a number every second, starting from from and ending with to.
printNumbers(from, to)
from
to
Make two variants of the solution.
setInterval
setTimeout


Pizza Guy Apps - Privacy Policy for All Our Apps
This policy explains specific privacy practices with respect to all or our products and services that you may use. This includes Delivery Tip Tracker (Free, Pro, and Beta), Store 7667 Maps, Store 7657 Maps, as well as any other projects. This privacy policy may change regularly.
Our privacy policy explains:
- What information we collect and why we collect it
- How we use that information
Information we collect
The information we collect comes in three forms: error reporting, user engagement, and local storage.
Error reporting
Our apps use Firebase Crashlytics, which is the industry standar method for collecting crash data and troubleshooting information.
Firebase collects the following information:
- Instance IDs
- Crash traces
- Custom error reports
Firebase stores crash traces for 180 days. Additionally, it stores Instance IDs for each user indefinitely. Firebase reports indicate the device being used as well as basic
hardware information such as RAM and Android version. Firebase internally uses your Instance ID to distinguish unique user sessions. An Instance ID is a number that is assigned to a user
upon installing the app. We also use Firebase to provide custom error reports for non-fatal exceptions. These custom error reports contain only stack traces for the associated exceptions.
We don't collect an advertising ID, since our apps contain no advertisements.
User engagement
Our apps use Google Analytics for Firebase, which monitors user engagement. We use the default implementation for Google Analytics for Firebase, which collects the following information:
- Number of users and sessions
- Session duration
- Operating systems
- Device models
- Geography
- First launches
- App opens
- App updates
- In-app purchases
Google Analytics for Firebase indefinitely stores an Instance ID for each user (the same Instance ID use by Firebase Crashlytics).
We don't collect an advertising ID, since our apps contain no advertisements. Google Analytics for Firebase provides us with rough information about how users engage with the app (such as which
Activities users access). It also provides anonymized information about user location. This information is approximated to the city level.
Local storage
We make extensive use of local storage to provide data persistence. Local storage comes in three forms:
- SQLite database
- Shared Preferences
- User-invoked generation of CSV files and backup files
All data you generate within our apps is stored in either a SQLite database or a Shared Preferences file. These are the standard methods for achieving data persistence in Android.
These files exist locally on your device, and are inaccessible to us or the outside world. None of the data you generate within our apps is sent to an external database.
Some of our apps allow the user to generate CSV files and backup files. These files are created locally on your device, and are inaccessible to us or the outside world. Upon generation
of these files, you are responsible for the safety and security of the information contained within.
How we use information we collect
The data we collect is used solely for error reporting and troubleshooting. Our apps don't contain advertising, so our only incentive for information collection is in providing you
with a trouble-free user experience.
Information we share
We will only share collected information with companies, organizations, and individuals under specific circumstances:
Provided Correspondence
- Information you provide to us through correspondence (including, but no limited to, email) may be shared with external organizations or individuals
App store service providers
If your app is purchased through an app store we may have access to your purchase transaction information (including your email and other data that might be provided to us through the app store).
App store services providers may provide to us or may be able to:
- View statistics regarding your account, such as applications you install
- Suspend or terminate access to our application or services
- Access or retain information stored as part of your account
- Receive your account information in order to satisfy applicable law, regulation, legal process or enforceable governmental request
- Restrict your ability to delete or edit information or privacy settings
Please refer to your app store’s privacy policy for more information.
Legal reasons
We will share personal information with companies, organizations or individuals outside of our company
if we have a good-faith belief that access, use, preservation, or disclosure of the information is reasonably necessary to:
- Meet any applicable law, regulation, legal process or enforceable governmental request
- Enforce applicable Terms of Service, including investigation of potential violations
- Detect, prevent, or otherwise address fraud, security or technical issues
- Protect against harm to the rights, property or safety of ourselves, our users or the public as required or permitted by law
Information security
We use partners and third parties to collect, store and disseminate information. We will not be help liable in any way for lost information from or by use of these partners,
third party partners, or our services
last updated 3/18/21 by Gavin Wright


{% extends "layout.html" %} {% block page_title %} GOV.UK prototyping kit {% endblock %} {% block content %} Data Returns sandbox A place to build patterns relating to the EA data returns service and to get them tested and capture feedback. Page patterns Privacy and cookies Cookies Privacy Corrections table Corrections table and corrections detail Multiple file upload Drop zone - full page Permit lookup Permit Lookup tool Email Pin code Confirmation Guidance Landfill: how to report environmental monitoring data by file upload (England only) Guidance on Heroku (archive) Sector specific guidance DEP and start page drafts (MG) Alternative start page (in draft) Landfill guidance LCP guidance PI guidance REM guidance Pattern tests Example file In-page Standalone Multiple EA_IDs Tabular Listed Corrections table Corrections table and corrections detail Corrections table - one page (Archive) Corrections table Beta - Inline help (Archive) Corrections table private beta 01 (Archive) Corrections table private beta 02 Multiple file upload Upload spreadsheets Drop zone - hotspot Drop zone - full page Permit lookup Permit Lookup tool Permit lookup tool (MG edit) Permit Lookup: Mismatched site name Permit Lookup: Mismatched EA ID Miscellaneous Copy to clipboard (Return type) Filter (Parameter) Filter (units) Obsolete Formatting rules Resources GOV.UK kit documentation Guide to GOV.UK elements HTML Service design manual Government Digital Service Design Principles {% endblock %}
A place to build patterns relating to the EA data returns service and to get them tested and capture feedback.


?Determined
by
Lorin
I.
Nevling,
Jr.
0^196
/
CAMBRIDGE
UNIVERSITY
EXPEDITION
JAMAICA
1939
EX
HERBARIO
MUSEI
BRITANNICI
FLORA
OF
THE
BLUE
MOUNTAINS
Daphnopsis
occidentalis
Kr.&
Urb.
Locality:
Chester
Vale
Altitude:
3,000ft.
Date:
26.8.1939
Habitat:
secondary
forest;
on
steep
hillside.
delicate,small
tree,20ft.;
flowers
greenish.
W.
R.
Philipson
No.
9^0
01497419
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


SIY Chapter 4
Mindfullness and Self Awareness
The link between these is very simple, as is made very clear in chapter 4.
“Self-awareness … is a neutral mode that maintains self-reflectiveness even in the midst of turbulent emotions. —Daniel Goleman
Mindfulness means paying attention in a particular way: on purpose, in the present moment, and non-judgmentally. —Jon Kabat-Zinn”
These two definitions tell us what self awareness and mindfulness are and when you think about them, you realise that mindfulness is self awareness.
Self Awareness Practices
I actually did both of the pracitses. The first one was the body scan and I found it to be very relaxing and it helped calm my mind and I was then able to focus a lot better. The second was journaling and this one I wasn't so sure on. I did the two, two minute sessions and it just felt like writing to me. I understand that realistically that is all that it is, but in chapter four they talk about it being highly beneficial, (which it probably is) but I didn't feel like it did anything for me.
"My Emotions are Not Me"
I found this segment very insightful, because although I've never realised it and had it have not been pointed out to me then I would never have noticed how much I fall into this trap. I wouldn't describe myself as an emotional person as such, but emotion is a big determiner as to what I'm like to be around.


노찬욱<EMAIL_ADDRESS>+821023598374
Brief Self Introduction Contents
https://github.com/cksdnr3/GroupStudy.git


|
Pangolin
Pangolin is a lightweight rapid development library for managing OpenGL display / interaction and video input
|
Public Member Functions | |
| TestVideo (size_t w, size_t h, size_t n, std::string pix_fmt) | |
| void | Start () override |
| Implement VideoInput::Start() | |
| void | Stop () override |
| Implement VideoInput::Stop() | |
| size_t | SizeBytes () const override |
| Implement VideoInput::SizeBytes() | |
| const std::vector< StreamInfo > & | Streams () const override |
| Implement VideoInput::Streams() | |
| bool | GrabNext (unsigned char *image, bool wait=true) override |
| Implement VideoInput::GrabNext() | |
| bool | GrabNewest (unsigned char *image, bool wait=true) override |
| Implement VideoInput::GrabNewest() | |
Protected Attributes | |
| std::vector< StreamInfo > | streams |
| size_t | size_bytes |


Layout Managers for Wicket
Well, not really, but if you're tired to create 2 or 3 columns CSS layouts, or
even worse, to recursively embed n-columns layout, you know it's good to have a way
to do it automatically.
This is a 3-column layout with fixed 100-pixel columns on both sides.
The center streches out with the page size (try resizing this window).
The good thing with having an automatic generator, is that you can recursively embed layouts in layouts, it
takes care of generating css elements with different, unique names.
This is a 2-column layout, specified with a percentage unit. The left column is 33% of the width, the remaining is for the central column.


Python for Everybody
Chapter 5
Exercise 5.1
""" Exercise 5.1: Write a program which repeatedly reads numbers until the user enters "done". Once "done" is entered, print out the total, count, and average of the numbers. If the user enters anything other than a number, detect their mistake using try and except and print an error message and skip to the next number. Enter a number: 4 Enter a number: 5 Enter a number: bad data Invalid input Enter a number: 7 Enter a number: done 16 3 5.33333333333333 Python for Everybody: Exploring Data Using Python 3 by Charles R. Severance Solution by Jamison Lahman, May 28, 2017 """ def check_for_float(input1): """ Checks if the type of "input1" is a float and returns the value if so. Input: input1 -- variable to check Output: val -- value of float """ try: val = float(input1) # Only allows input floats return val except ValueError: print('Error, please enter numeric input') quit() # Check module name since check_for_float is being imported in the next # exercise. See also, https://www.youtube.com/watch?v=sugvnHA7ElY (video) # or https://www.tutorialspoint.com/python/python_modules.htm (text) if __name__ == "__main__": count = 0 # Initializes values total = 0.0 average = 0.0 while True: # Stays in loop until break input_number = input('Enter a number: ') if input_number == 'done': break # Exits the while loop number = check_for_float(input_number) count += 1 # Counter total = total + number # Running total # Ensures count is not 0 which would cause division error if count: average = total / count # Computes the average print(total, count, average)
Exercise 5.2
""" Exercise 5.2: Write another program that prompts for a list of numbers as above and at the end prints out both the maximum and minimum of the numbers instead of the average. Python for Everybody: Exploring Data Using Python 3 by Charles R. Severance Solution by Jamison Lahman, May 28, 2017 """ from exercise5_1 import check_for_float # Handles the special case for the first input input1 = input('Enter a number: ') if input1 == 'done': quit() # Exits if no input number = check_for_float(input1) # Ensure input is a float smallest = number largest = number while True: # Stays in loop until break input1 = input('Enter a number: ') if input1 == 'done': break # Exits loop number = check_for_float(input1) # Ensure input is a float if number > largest: # Condition for maximum largest = number if number < smallest: # Condition for minimum smallest = number print(largest, smallest)


COMPANY MAN
Reviewed by Harvey Karten Paramount Classics/Intermedia Director: Peter Askin & Douglas McGrath Writer: Peter Askin & Douglas McGrath Cast: Douglas McGrath, Sigourney Weaver, John Turturro, Anthony LaPaglia, Ryan Phillippe, Dnis Leary, Woody Allen, Alan Cumming
When I reviewed the worst comedy of the year 2000--"An Everlasting Piece," a political satire like this one--I received a nasty e-mail from its scripter and principal actor, Barry McEvoy, who said: "I'm disappointed. What I wanted to do was to make a film that was original. I wanted to make a film that dealt with the issues in Northern Ireland in a way that was brave and unlikely. Obviously what I was getting at was either a complete failure or wasted on you." "An Everlasting Piece," whose writer uses humor purportedly to show the irrationality of friction between people of different ethnic groups, may have had his heart in the right place, but virtually every sally fell flat, mired in its utter banality and predictability. Now along comes a film that purports to satirize American politics in the way Mr. McEvoy sent up the politics of Northern Ireland. "Company Man" exceeds even McEvoy's work in its pointlessness, its vapidity, its unequivocal grade-school humor. Not a single gag works. "Company Man" must simply have been an embarrassing experience for the fine ensemble of actors who look so confounded by its emptiness that one hopes they at least had a good time clowning around with its frantic physicality and witless waggery. Incredibly, the screenplay was co-written by a man from whom we expected more, Douglas McGrath, who also penned the rich and stunning 1994 bauble "Bullets Over Broadway," about a serious 1920s playwright who sells out when offered a chance to direct his latest work on Broadway.
Nothing's wrong with the premise. "Company Man" intends to deride the travesty of the U.S.-sponsored Bay of Pigs invasion designed to overthrow the Castro government during the early 1960s and even to segue into the Vietnam debacle to prove that in the of foreign policy our government hadn't learned from experience. But the punch lines are so ungainly that audience members who are good sports enough to sit through the mercifully brief picture might actually hope for some TV-style laugh track to save the actors the chagrin of pausing and hearing only silence to reward their aspirations to amusement. Would you find the statement coming from a high government official "good press is more important than human life" particularly striking and original? Or, when Alan Cumming in the role of ex-Cuban president Batista, talks about materials used to decorate his palace which came from the Shah of Iran, says, "Do you know the Shah--very nice man," do you congratulate yourself for being clever enough to catch the inside political humor? If so, this could be the picture for you.
The plot revolves around the CIA's hiring of a milquetoast, Greenwich Connecticut high-school grammar teacher (Douglas McGrath in the role of Allen Quimp) to head up a plot to assassinate Fidel Castro. He is retained because--as he himself realizes--he would be the least likely person to be identified as a spy. Unfortunately, because of his need to impress the community with his importance, he reveals his secret identity to his wife Daisy (Sigourney Weaver) who in no time informs everyone in the town. Daisy, a bourgeois matron who longs for a bigger house and a restaurant table that is not adjacent to the kitchen, sees a chance for her own 15 minutes of fame. She will write a scathing novel based on her husband's heroism in his battle against the forces of Communism that have overtaken Havana.
Attempts by Denis Leary as a cynical officer stationed in Cuba and by Ryan Phillipe as a Russian dancer who is able to defect when a high school student in a drivers' education program zooms away from a KGB agent do nothing to save this movie. John Turturro, acting in his standard macho role by repeatedly rehearsing his plan to eradicate the Cuban leader, mirrors Mr. McGrath's customary correction of the grammatical errors of the colleagues he meets in his new job in the Central Intelligence Agency. Feel free to skip the film and get your evening's superior entertainment by parsing sentences.
Rated PG-13. Running time: 81 minutes. (C) 2001 by Harvey Karten<EMAIL_ADDRESS>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


Suneel Marthi
February 27, 2019
Big Data Technology Summit, Warsaw, Poland
Deep Learning has moved from Academia to Industry
Availability of Massive Cloud Computing Power
Combination of Compute Resources + Big Data with Deep Learning models often produces useful and interesting applications
Computer Vision for Satellite Imagery
Availability of low cost satellite images for research
Train a Deep Learning model to identify Tulip beds from satellite data
Earth observation mission from ESA
13 spectral bands, from RGB to SWIR (Short Wave Infrared)
Spatial resolution: 10m/px (RGB bands)
5 day revisit time
Free and open data policy
Images downloaded using Sentinel Hub’s WMS (web mapping service)
Download tool from Matthieu Guillaumin (@mguillau)
256 x 256 px images, RGB
Need to remove cloudy images before segmenting
Approach: train a Neural Network to classify images as clear or cloudy
CNN Architectures: ResNet50 and ResNet101
‘Planet: Understanding the Amazon from Space’ Kaggle competition
40K images labeled as clear, hazy, partly cloudy or cloudy
Filter Clouds: Training data(2)
| Origin | No. of Images | Cloudy Images |
|---|---|---|
| Kaggle Competition | 40000 | 30% |
| Sentinel-2(hand labelled) | 5000 | 50% |
| Total | 45000 | 32% |
Only two classes: clear and cloudy (cloudy = haze + partly cloudy + cloudy)
Results
| Model | Accuracy | F1 | Epochs (train + finetune) |
|---|---|---|---|
| ResNet50 | 0.983 | 0.986 | 23 + 7 |
| ResNet101 | 0.978 | 0.982 | 43 + 9 |
Choose ResNet50 for filtering cloudy images
import Augmentor
p = Augmentor.Pipeline(img_dir)
p.skew(probability=0.5, magnitude=0.5)
p.shear(probability=0.3, max_shear=15)
p.flip_left_right(probability=0.5)
p.flip_top_bottom(probability=0.5)
p.rotate_random_90(probability=0.75)
p.rotate(probability=0.75, max_rotation=20)
O. Ronneberger, P.Fischer, and T. Brox. U-net: Convolutional networks for biomedical image segmentation. arxiv:1505.04597, 2015
def conv_block(channels, kernel_size):
out = nn.HybridSequential()
out.add(
nn.Conv2D(channels, kernel_size, padding=1, use_bias=False),
nn.BatchNorm(),
nn.Activation('relu')
)
return out
def down_block(channels):
out = nn.HybridSequential()
out.add(
conv_block(channels, 3),
conv_block(channels, 3)
)
return out
class up_block(nn.HybridBlock):
def __init__(self, channels, shrink=True, **kwargs):
super(up_block, self).__init__(**kwargs)
self.upsampler = nn.Conv2DTranspose(channels=channels, kernel_size=4,
strides=2, padding=1, use_bias=False)
self.conv1 = conv_block(channels, 1)
self.conv3_0 = conv_block(channels, 3)
if shrink:
self.conv3_1 = conv_block(int(channels/2), 3)
else:
self.conv3_1 = conv_block(channels, 3)
def hybrid_forward(self, F, x, s):
x = self.upsampler(x)
x = self.conv1(x)
x = F.relu(x)
x = F.Crop(*[x,s], center_crop=True)
x = s + x
x = self.conv3_0(x)
x = self.conv3_1(x)
return x
|
|
Prediction = Probability of each pixel belonging to a Tulip Field (Softmax output)
ε serves to prevent division by zero
Aka Jaccard Index
Similar to Dice coefficient, standard metric for image segmentation
https://www.kaggle.com/c/dstl-satellite-imagery-feature-detection/discussion/29790
https://www.kaggle.com/c/dstl-satellite-imagery-feature-detection/discussion/29790
"Batch is an extension of Streaming, except when Streaming is an extension of Batch"
-- Shannon Quinn, Apache Mahout
"Spark Streaming is for people who want to operate on their streams using Batch idioms.
Flink Batch is for people who want to operate on their batches using Streaming idioms."
-- Joey Frazee, Apache NiFi
pipeline_options = PipelineOptions(pipeline_args)
pipeline_options.view_as(SetupOptions).save_main_session = True
pipeline_options.view_as(StandardOptions).streaming = True
with beam.Pipeline(options=pipeline_options) as p:
filtered_images = (p | "Read Images" >> beam.Create(glob.glob(known_args.input + '*wms*' + '.png'))
| "Batch elements" >> beam.BatchElements(0, known_args.batchsize)3
| "Filter Cloudy images" >> beam.ParDo(FilterCloudyFn.FilterCloudyFn(known_args.models)))
filtered_images | "Segment for Land use" >>
beam.ParDo(UNetInference.UNetInferenceFn(known_args.models, known_args.output))
Using Shortwave Infrared images (2.107 - 2.294 nm)
Radiant Energy reflected/transmitted per unit time (Radiant Flux)
Eg: Plants don't grow on rocks
https://en.wikipedia.org/wiki/Radiant_flux
Using Near-Infrared (NIR) radiation
Emitted by plant Chlorophyll and Mesophyll
Chlorophyll content differs between plants and plant stages
Good measure to identify different plants and their health
https://en.wikipedia.org/wiki/Near-infrared_spectroscopy#Agriculture
Identify borders, regions without much details with naked eye - Wonder Why?
Images are in Red band
Unsupervised Learning - Clustering


Quotes
-
“In your light I learn how to love. In your beauty, how to make poems.
Rumi -
“He stepped down, trying not to look long at her, as if she were the sun, yet he saw her, like the sun, even without looking.”
Leo Tolstoy, Anna Karenina -
“I have waited for this opportunity for more than half a century, to repeat to you once again my vow of eternal fidelity and everlasting love.”
Gabriel García Márquez, Love In The Time Of Cholera


We have designed a software tool in MATLAB, the Prony Toolbox, to perform Prony analysis. Prony Toolbox (PTbox) is designed based on several considerations including data preprocessing, model order selection, model order selection criteria, signal subspace selection, signal and noise separation, root inspection and assessing residuals. The PTbox provides flexibility to compare and display analysis results simultaneously for several parameter variations.
The PTbox is distributed as a freeware and it is copyrighted by Dr. Hamann and Satnam at the University of Wyoming. Any reproduction of the Prony Toolbox code will be considered as violation of copyright.
Contact:
Dr.Jerry C.Hamann<EMAIL_ADDRESS>Satnam Singh, satnam@uwyo.edu


Deploying QATrack+ with IIS, SSO/Windows Authentication, & SQL Server¶
This guide is going to walk you through installing QATrack+ on a Windows 2008 R2 server with IIS serving our Django application (QATrack+). SQL Server 2008 will be used as the database. Windows Integrated Authentication is used for single-sign on.
The steps we will be undertaking are:
- Installing and configuring git
- Checkout the latest release of the QATrack+ source code from bitbucket.
- Setting up our Python environment (including virtualenv)
- Configuring IIS to serve our QATrack+ site.
- Setting up a database with SQL Server
- Wrap Up
The first four steps are common to the Windows/IIS/CherryPy install and will not be repeated here. While the use of only one web server (IIS) to host all aspects of QATrack is likely more robust, it has not yet been tested in a multi-user environment. Once testing and tweaking is completed, then I imagine that this wiki will be combined with the Win/IIS/CherryPy page into one Windows installation method.
1. Installing git¶
2. Checkout the latest release of QATrack+ source code from bitbucket¶
3. Setting up our Python environment¶
See the Windows/IIS/CherryPy wiki – Note that in the last steps of section 3, the “pip install cherrypy” is not necessary, but there’s no harm done if you install it either.
4. Configuring IIS to Serve QATrack+¶
The following is an modification of the how-to from CodeSmartInc: http://codesmartinc.com/2013/04/12/running-django-in-iis7iis8/
Ensure that ‘CGI’ and ‘URL Authorization’ are installed within the IIS options.
Download and install the MS Web Platform Installer (WPI) from: http://www.microsoft.com/web/downloads/platform.aspx
Launch WPI and search for FastCGI. Add/Install “WFastCGI 2.0 Gateway for IIS and Python 2.7”. Confirm that wfastcgi.py is in C::raw-latex:`\Python`27:raw-latex:`Scripts`.
Within the IIS Manager, go to your web server, and ensure that IIS has icons for both CGI and FastCGI.
Stop/Delete/Remove the default site.
Create a new site in IIS by right-clicking on Sites and selecting “Add Web Site”. QATrack would be a good name but anything works. Select “C::raw-latex:`\deploy`:raw-latex:`\qatrackplus`” as the path. Confirm 80 as the port. Host Name can be left blank. Leave the “Start Site Immediately” checked.
Select the root server. Double click on Handler Mappings. In the upper right-hand side, click ‘Add Module Mapping’:
- Request path: *
- Module: FastCgiModule
- Executable: C::raw-latex:`\deploy`:raw-latex:`\venvs`:raw-latex:`\qatrack`:raw-latex:`\Scripts`:raw-latex:`\python`.exe|c::raw-latex:`\Python`27:raw-latex:`Scripts`:raw-latex:wfastcgi.py
- Name: QATrackHandler
When you select OK, you will be asked if you want to add an entry to the FastCGI collection in IIS. Answer YES.
Select the root server. Double-click on FastCGI Settings. There should be two entries. Remove the entry with the Full Path to ‘C::raw-latex:`\Python`27:raw-latex:`python`.exe. Double-click on the remaining entry, with the full path to your VENV Python.exe with an argument to your wfastcgi.py. Click on Collection in Environment Variables property box and click the ... button. Add the following three environment variables:
- DJANGO_SETTINGS_MODULE: qatrack.settings
- PYTHONPATH: C::raw-latex:`\deploy`:raw-latex:`\qatrackplus`
- WSGI_HANDLER: django.core.handlers.wsgi.WSGIHandler()
Click OK/OK.
Right-click on your site within IIS and select “Add Application”.
- Alias: Static
- Path: C::raw-latex:`\deploy`:raw-latex:`\qatrackplus`:raw-latex:`\qatrack`:raw-latex:`\static`
Click OK.
Navigate to this static application’s Handler Mappings module and remove the QATrackHandler handler that was created automatically through inheritance.
Create a local group of users (within Server Manager) to include all local and Active Directory users that you would like to be able to access your QATrack site.
Within IIS Manager, For the root server, * double-click ‘Authentication’ and disable all EXCEPT enable Anonymous Authentication. * double-click ‘Authorization Rules’ and ensure that ‘All Users’ are allowed access.
For the QATrack site: * double-click ‘Authentication’ and disable all EXCEPT enable Windows Authentication. * double-click ‘Authorization Rules’ and create a rule to allow the QATrackUsers group access. Remove any other rules that might exist.
For the static application * double-click ‘Authentication’ and disable all EXCEPT enable Anonymous Authentication. * double-click ‘Authorization Rules’ and ensure that ‘All Users’ are allowed access.
Note that the above Authentication/Authorization rules inherit from higher levels, so you may want to double-check that all inheritances are removed and that you have only the desired configuration. Also note that this is optional, but given that unknown users are automatically created within the QATrack database, I favour the idea of closing the gate here.
Install python-ldap from: https://pypi.python.org/pypi/python-ldap/. Copy the ‘ldap’ folder from C::raw-latex:`\Python`27:raw-latex:`Lib`:raw-latex:site-packages into C::raw-latex:`\deploy`:raw-latex:`\venvs`:raw-latex:`\qatrack`:raw-latex:`\Lib`:raw-latex:`\site`-packages
5. Creating a database with SQL Server¶
From the start menu find and open SQL Server Management Studio. Enter ‘localhost:raw-latex:INSTANCE‘ for the server name, where INSTANCE is the SQL server instance name that was chosen during the SQL Server install, and click Connect.local
In the Object Explorer frame, right click the Databases folder and select “New Database...”.
Enter ‘QATrackDB’ as the database name and click OK.
Back in the Object Explorer frame, right click on the main Security folder and click New Login...
- Set the login name to ‘IIS APPPOOL:raw-latex:QATrack‘, select Windows Authentication. Click OK.
Back in the Object Explorer frame, expand the qatrackdb database, right click on Security and select New->User.
Enter ‘IIS APPPOOL:raw-latex:QATrack‘ as the User name and Login name and then below in the Database Role Membership select ‘db_datawriter’ and ‘db_datareader’. Click OK.
Configuring QATrack+ to use your new database¶
Create a file called local_settings.py in /c/deploy/qatrackplus/qatrack/ and add the following contents:
#!python
DEBUG = False
TEMPLATE_DEBUG = False
DATABASES = {
'default': {
'ENGINE': 'sqlserver_ado', # Add 'postgresql_psycopg2', 'mysql', 'sqlite3' or 'oracle'.
'NAME': 'QATrackDB', # Or path to database file if using sqlite3.
'USER': '', # Not used with sqlite3.
'PASSWORD': '', # Not used with sqlite3.
'HOST': 'localhost\\QATRACK', # Set to empty string for localhost. 'host\\Instance'
'PORT': '', # Set to empty string for default. Not used with sqlite3.
}
}
#------------------------------------------------------------------------------
# Middleware
MIDDLEWARE_CLASSES = (
'django.middleware.common.CommonMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.auth.middleware.RemoteUserMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'qatrack.middleware.login_required.LoginRequiredMiddleware',
'qatrack.middleware.maintain_filters.FilterPersistMiddleware',
'debug_toolbar.middleware.DebugToolbarMiddleware',
)
#-----------------------------------------------------------------------------
# Authentication backend settings
AUTHENTICATION_BACKENDS = (
'qatrack.accounts.backends.WindowsIntegratedAuthenticationBackend',
)
# active directory settings (not required if only using ModelBackend
AD_DNS_NAME = "mydomain.ca"
CLEAN_USERNAME_STRING = 'MYDomainName\\' # see https://groups.google.com/forum/#!topic/qatrack/EvteC2vUflQ
# If using non-SSL use these
AD_LDAP_PORT = 389
AD_LDAP_URL = 'ldap://%s:%s' % (AD_DNS_NAME, AD_LDAP_PORT)
AD_SEARCH_DN = "DC=MYDOMAIN,DC=ca"
AD_NT4_DOMAIN = "mydomain.ca" # Network domain that AD server is part of
AD_SEARCH_FIELDS = ['mail', 'givenName', 'sn', 'sAMAccountName', 'memberOf']
AD_MEMBERSHIP_REQ = []
We will configure our new MS SQL database from the Git Bash command prompt. Answer ‘yes’ and create a super user when prompted – this will be the first/only superuser within QATrack+:
#!bash
source /c/deploy/venvs/qatrack/Scripts/activate
cd /c/deploy/qatrackplus/
python manage.py syncdb
python manage.py migrate
python manage.py loaddata fixtures/defaults/*/*
python manage.py collectstatic
6. Wrap Up¶
Congratulations! You should now be able to navigate to http://localhost and see your newly created instance of QATrack+.
This guide shows only one of many possible method of deploying QATrack+ on Windows. If you’re stuck with a Windows stack it will likely work for you too. Post any questions on the QATrack+ Google Group if you want to discuss some other alternatives for deploying on Windows.


17 March 1999
Disease Outbreak Reported
As of end February 1999, 1 confirmed case of sylvatic yellow fever was reported to the Pan American Health Organization (PAHO/WHO). This case is the first national reported case of yellow fever since November 1998. The case occurred in the Native Indian village of Aldeia Cuoto Magalhaes, in the county of Campinapolis, Mato Grosso State. The patient who recovered was a 5 year old girl without a history of yellow fever vaccination.
* Source: Ministry of Health, Brazil February 1999.


Name {{ name }}
Host {{ host }}
Remote {{ remote }}
IP {{ ipaddress }}
Architecture {{ architecture }}
Machine {{ machine }}
Node {{ node }}
System {{ system }}


and.activation.tanhAuthor:Charles Sanders Date: 2006.4.28 Tanh activation function |
| Page was generated with on Sat Nov 28 00:10:25 2020 |
and.activation.tanhAuthor:Charles Sanders Date: 2006.4.28 Tanh activation function |
| Page was generated with on Sat Nov 28 00:10:25 2020 |


closed
by Kevin Reiss at 2020-02-05 18:06:23.closed
by Kevin Reiss at 2020-02-05 18:09:58.closed
by Kevin Reiss at 2020-02-05 18:10:28.closed
by Kevin Reiss at 2020-02-05 18:10:40.closed
by None at 2020-02-05 18:11:10.closed
by None at 2020-02-05 18:11:10.closed
by None at 2020-02-05 18:11:10.closed
by None at 2020-02-05 18:11:10.closed
by None at 2020-02-05 18:11:10.closed
by None at 2020-02-05 18:11:25.closed
by None at 2020-02-05 18:11:25.closed
by None at 2020-02-05 18:11:25.closed
by None at 2020-02-05 18:11:25.closed
by None at 2020-02-05 18:11:25.closed
by None at 2020-02-05 18:11:25.closed
by None at 2020-02-05 18:11:25.closed
by Kevin Reiss at 2020-02-05 18:11:29.closed
by Kevin Reiss at 2020-02-05 18:11:43.closed
by None at 2020-02-05 18:11:50.closed
by None at 2020-02-05 18:11:51.closed
by None at 2020-02-05 18:11:52.closed
by None at 2020-02-05 18:11:52.closed
by None at 2020-02-05 18:11:51.closed
by None at 2020-02-05 18:11:51.closed
by None at 2020-02-05 18:11:51.closed
by None at 2020-02-05 18:11:51.closed
by None at 2020-02-05 18:11:51.closed
by None at 2020-02-05 18:11:51.closed
by None at 2020-02-05 18:11:52.closed
by None at 2020-02-05 18:11:51.closed
by Kevin Reiss at 2020-02-05 18:11:54.closed
by Kevin Reiss at 2020-02-05 18:12:05.closed
by Kevin Reiss at 2020-02-05 18:12:30.closed
by Kevin Reiss at 2020-02-05 18:14:34.Not desired per Jeff R.
closed
by Kevin Reiss at 2020-02-05 18:15:02.closed
by Kevin Reiss at 2020-02-05 18:15:53.closed
by Kevin Reiss at 2020-02-05 18:16:10.See if the delegate model in place addresses this story adequately.
closed
by Kevin Reiss at 2020-02-05 18:27:12.closed
by None at 2020-02-05 18:33:20.Duplicate of #428
closed
by None at 2020-02-05 18:34:14.Will this just be on the travel policy page?
Closing since this was deemed not useful.
closed
by None at 2020-02-05 18:45:45.Closing this for date filter issue
closed
by None at 2020-02-05 18:46:46.Close for filter by date and filter by status
closed
by None at 2020-02-05 18:51:40.milestoned
by None at 2020-02-05 18:53:44.milestoned
by None at 2020-02-05 18:55:40.labeled
by None at 2020-02-05 18:56:49.labeled
by None at 2020-02-05 18:57:32.closed
by None at 2020-02-05 18:58:47.reopened
by None at 2020-02-05 18:58:51.Cost for milage has been filled in and Per Diem is no longer the standard cost for food per day. As far as we know there is not another standard for food.
closed
by None at 2020-02-05 19:02:16.referenced
by Axa Mei Liauw at 2020-02-05 16:06:13.merged
by Axa Mei Liauw at 2020-02-05 16:06:13.closed
by Axa Mei Liauw at 2020-02-05 16:06:13.head_ref_deleted
by Axa Mei Liauw at 2020-02-05 16:06:23.labeled
by Trey Pendragon at 2020-02-04 23:05:39.labeled
by Trey Pendragon at 2020-02-04 23:07:04.referenced
by Christina Chortaria at 2020-02-04 23:15:37.merged
by Christina Chortaria at 2020-02-04 23:15:37.closed
by Christina Chortaria at 2020-02-04 23:15:38.labeled
by Trey Pendragon at 2020-02-04 22:33:53.referenced
by Trey Pendragon at 2020-02-04 22:43:41.closed
by Christina Chortaria at 2020-02-04 23:15:38.labeled
by Trey Pendragon at 2020-02-04 22:07:43.referenced
by Trey Pendragon at 2020-02-04 23:03:42.closed
by Christina Chortaria at 2020-02-04 23:21:49.referenced
by Christina Chortaria at 2020-02-04 23:21:49.merged
by Christina Chortaria at 2020-02-04 23:21:49.closed
by Christina Chortaria at 2020-02-04 23:21:49.The bisect never finished. It threw a stack trace, then setting an environment variable let it run, but it never got through the first test run. :(
Seems legible, though as someone that continues to develop bare metal, its a bit beyond my common usage. Though this next computer I'm getting will probably push me towards standardized development environments.
head_ref_force_pushed
by Trey Pendragon at 2020-02-05 00:45:22.renamed
by Trey Pendragon at 2020-02-05 18:48:03.I am currently able to access resources in Team Drives from my account over the REST API for Drive using https://developers.google.com/drive/api/v3/reference/files/list?apix=true&apix_params=%7B%22corpora%22%3A%22allDrives%22%2C%22includeItemsFromAllDrives%22%3Atrue%2C%22includeTeamDriveItems%22%3Atrue%2C%22supportsAllDrives%22%3Atrue%2C%22supportsTeamDrives%22%3Atrue%2C%22fields%22%3A%22files(name%2Cparents%2CwebContentLink)%22%7D#try-it
All of these boolean parameters are being passed through the various Ruby Gems, so I suspect that the request is somehow being improperly formatted.
By rewriting how I interface with the Google Drive API, I can now retrieve Team Drive Folders. However, I am currently struggling to filter for Team Drive Folders which are members of other Folders (e. g. building a tree is difficult, as child Folders in a Team Drive do not indicate that they have parents).
I will check my work for errors and proceed with this.
@hackmastera I killed the postfixes.
head_ref_force_pushed
by Trey Pendragon at 2020-02-05 18:16:59.mentioned
by None at 2020-02-05 21:22:45.subscribed
by None at 2020-02-05 21:22:45.labeled
by Trey Pendragon at 2020-02-05 23:10:50.referenced
by Trey Pendragon at 2020-02-05 23:24:27.referenced
by Trey Pendragon at 2020-02-05 23:49:38.assigned
by Trey Pendragon at 2020-02-05 17:41:45.referenced
by Trey Pendragon at 2020-02-05 17:42:35.referenced
by Trey Pendragon at 2020-02-05 21:14:27.closed
by Trey Pendragon at 2020-02-05 23:22:55.@hackmastera Refactored that conditional a bit. It should be ready for review again.
head_ref_force_pushed
by Trey Pendragon at 2020-02-05 21:14:28.mentioned
by None at 2020-02-05 21:14:46.subscribed
by None at 2020-02-05 21:14:46.deployed
by Trey Pendragon at 2020-02-05 21:46:15.referenced
by Trey Pendragon at 2020-02-05 23:22:54.merged
by Trey Pendragon at 2020-02-05 23:22:54.closed
by Trey Pendragon at 2020-02-05 23:22:55.head_ref_deleted
by Trey Pendragon at 2020-02-05 23:22:58.deployed
by Trey Pendragon at 2020-02-05 23:25:38.head_ref_force_pushed
by Trey Pendragon at 2020-02-05 23:49:38.As @escowles points out above, the key is the the EAD container and the MODS shelfLocator. With a few regular expressions in XQuery, I was able to match every container with a METS and, therefore, a path to an image. Next step is to use that data in a bulk ingest.
mentioned
by Esmé Cowles at 2020-02-06 00:09:33.subscribed
by Esmé Cowles at 2020-02-06 00:09:33.unassigned
by Axa Mei Liauw at 2020-02-05 18:38:49.review_requested
by Shaun Ellis at 2020-02-05 22:09:30.Reseting the db fixed the issue. The events page loads correctly now: https://bibdata-staging.princeton.edu/events
closed
by Nikitas Tampakis at 2020-02-05 17:40:02.referenced
by None at 2020-02-05 18:29:53.merged
by None at 2020-02-05 18:29:53.closed
by None at 2020-02-05 18:29:54.Migrating solr data to a new znode.
ZK_HOST
param to append the new znode. When it's time to edit this config file, you can just swap in the copy.cd /opt/solr
bin/solr zk mkroot /solr7 -z lib-zk-staging1:2181,lib-zk-staging2:2181,lib-zk-staging3:2181
bin/solr zk cp -r zk:/clusterstate.json zk:/solr7/clusterstate.json -z lib-zk-staging1:2181,lib-zk-staging2:2181,lib-zk-staging3:2181
bin/solr zk cp -r zk:/aliases.json zk:/solr7/aliases.json -z lib-zk-staging1:2181,lib-zk-staging2:2181,lib-zk-staging3:2181
bin/solr zk cp -r zk:/live_nodes zk:/solr7/live_nodes -z lib-zk-staging1:2181,lib-zk-staging2:2181,lib-zk-staging3:2181
bin/solr zk cp -r zk:/overseer zk:/solr7/overseer -z lib-zk-staging1:2181,lib-zk-staging2:2181,lib-zk-staging3:2181
bin/solr zk cp -r zk:/overseer_elect zk:/solr7/overseer_elect -z lib-zk-staging1:2181,lib-zk-staging2:2181,lib-zk-staging3:2181
bin/solr zk cp -r zk:/collections zk:/solr7/collections -z lib-zk-staging1:2181,lib-zk-staging2:2181,lib-zk-staging3:2181
bin/solr zk cp -r zk:/configs zk:/solr7/configs -z lib-zk-staging1:2181,lib-zk-staging2:2181,lib-zk-staging3:2181
bin/solr zk ls /solr7 -z lib-zk-staging1:2181,lib-zk-staging2:2181,lib-zk-staging3:2181
bin/solr zk rm -r /clusterstate.json -z lib-zk-staging1:2181,lib-zk-staging2:2181,lib-zk-staging3:2181
bin/solr zk rm -r /aliases.json -z lib-zk-staging1:2181,lib-zk-staging2:2181,lib-zk-staging3:2181
bin/solr zk rm -r /live_nodes -z lib-zk-staging1:2181,lib-zk-staging2:2181,lib-zk-staging3:2181
bin/solr zk rm -r /overseer -z lib-zk-staging1:2181,lib-zk-staging2:2181,lib-zk-staging3:2181
bin/solr zk rm -r /overseer_elect -z lib-zk-staging1:2181,lib-zk-staging2:2181,lib-zk-staging3:2181
bin/solr zk rm -r /collections -z lib-zk-staging1:2181,lib-zk-staging2:2181,lib-zk-staging3:2181
bin/solr zk rm -r /configs -z lib-zk-staging1:2181,lib-zk-staging2:2181,lib-zk-staging3:2181
bin/solr zk ls / -z lib-zk-staging1:2181,lib-zk-staging2:2181,lib-zk-staging3:2181
root:deploy
.head_ref_force_pushed
by None at 2020-02-05 14:36:30.ready_for_review
by None at 2020-02-05 17:08:39.head_ref_force_pushed
by Francis Kayiwa at 2020-02-05 18:10:35.referenced
by Kevin Reiss at 2020-02-05 16:55:28.merged
by Kevin Reiss at 2020-02-05 16:55:28.closed
by Kevin Reiss at 2020-02-05 16:55:28.head_ref_deleted
by Kevin Reiss at 2020-02-05 16:55:33.


APPROPRIATIONS
§52. That appropriations, except as herein otherwise provided, shall be made by the legislature. [Am May 27, 1910, c 258, §3, 36 Stat 444]
Referred to in 15 H. 364, 535; 16 H. 245; 20 H. 518; see note to §54.


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# File '../../lib/generators/cookie_alert/install_generator.rb', line 9
def copy_install_files
say "\n\n ==========================================="
say " Starting CookieAlert installation"
say " ==========================================="
if yes? "\n Copy default configuration file to '/config/initializers/cookie_alert.rb' ? [y/n]"
copy_file "cookie_alert.rb", "config/initializers/cookie_alert.rb"
end
if yes? "\n Copy View templates to '/app/views/cookie_alert/cookies/*' ? [y/n]"
copy_file "_primary_alert.html.erb", "app/views/cookie_alert/cookies/_primary_alert.html.erb"
copy_file "_secondary_alert.html.erb", "app/views/cookie_alert/cookies/_secondary_alert.html.erb"
copy_file "cookie_accepted.js.erb", "app/views/cookie_alert/cookies/cookie_accepted.js.erb"
end
if yes? "\n Copy CSS file 'app/assets/stylesheets/cookie_alert.css' ? [y/n]"
copy_file "cookie_alert.css", "app/assets/stylesheets/cookie_alert.css"
end
say "\n\n REMEMBER:"
say "\n To add 'include CookieAlert' to your application_helper.rb file and to add the 'cookie_alert.css' file to your application layout."
say "\n\n ==========================================="
say " CookieAlert installation Completed"
say " ===========================================\n\n"
end
|


Sun position calculator on google maps
Predict size of shadows at different times of the day for google maps location.
Navigate to the plot where you plan to
build a house and check
how much sun your garden will get.
Use rectangle or polygon tool to draw area of your house/building on the map. You can specify heights (in meters) for each point.
The application will:
- simulate casted shadow directly on the map
- calculate sun shade length and angle on your parcel/land
- predict shadow shape for any specified time, including both summer and winter solastice
- display day duration, sunrise and sunset times for selected google maps location and date
- display sun position: sun altitude and sun azimuth


Rain forecast throughout the week but it 'should become somewhat drier by Friday'
“Further unsettled conditions” are forecast this week.
by Sean MurrayWE’RE SET FOR another wet week with “showery spells of rain occuring most days”, Met Éireann has said.
Today, it will be rather cloudy and misty with rain mostly confined to Ulster this morning. There’ll be scattered showers elsewhere with a few of those heavy.
Top temperatures will be between 9 and 12 degrees.
There’ll be a few clear spells tonight, with patches of fog in places. Wet and windy weather will develop then over Munster and south Leinster as the night goes on.
Tomorrow will see rain move northwards throughout the morning, and will be heavy in places.
The overall outlook for the week will see low pressure bringing “further unsettled conditions” and it’ll be “rather dull generally” along with showers most days, Met Éireann forecast.
“Temperatures will be around normal for the first half of the week, with mostly frost free nights, but becoming colder later in the week with frosty nights returning,” it added.
It’ll stay above freezing most nights with the exception of Thursday. Early indications are that Friday will be mostly dry with some sunny spells, but there is the risk of rain possibly moving in from the south-west on Friday night.


Feel free to explore our website and browse trough some of the hottest memes.
Show us your great sense of humour! Make an account and start posting memes of your own!
Feel free to explore our website and browse trough some of the hottest memes.
Show us your great sense of humour! Make an account and start posting memes of your own!
Welcome {{user.name}}.
Enjoy your stay.


--- layout: default --- {% include header.html %}
Cryptofinance application and solution architect, CEO and founder of XMR Systems LLC and CTO at Elea Labs AG.


Status
System:
Width:
Height:
Colours: x from to
y from to
z from to
Time Step:
Steps Per Frame:
x0 = + screen_x (0-1) * + screen_y (0-1, bottom=0) *
y0 = + screen_x * + screen_y (0-1, bottom=0) *
z0 = + screen_x * + screen_y (0-1, bottom=0) *
A take on the Lorenz System - a classic study in chaos theory. Rather than representing the x, y and z variables as positions, this code represents them as RGB components; x as red, y as green, z as blue. You can adjust the ranges of x, y and z that the colour components map on to. Each pixel represents a single Lorentz system, and the position on the chart represents different initial conditions and/or parameters. Tweak the parameters, click Reset, then click Auto-Iterate to get the thing moving. Click Stop to pause, click on the chart to look at the current and initial conditions and the parameters at that point on the chart - and to plot the Lorenz attractor at that point, then click Auto-Iterate to restart. Click and drag with the left or right mouse button (they do different things) to rotate and zoom the view of the Lorenz attractor.
There's also the option to use different sets of differential equations. I've also included the Rössler system, the Rabinovich–Fabrikant Equations and a version of the equations describing Chua's Circuit - taking the exact equations from this simulation.
Peter Corbett, 2014


--- layout: post title: Don't find execuses for yourself categories: [management] tags: [learning] ---
On the way to management role, you will soon find that it is quite different from technical role. When there is disaster, people are not going to take responsible and analyze their problem. The first resort is to find execuse from others. They may look into history logs to find your mistakes and put blame on you.
It really happens even though they used to be very nice apparently. The root cause for someone to pass the buck is the fear of failure. They are afraid of being blamed and dealing with the overwhelmed situation.
In this case study, we can look from two point of view, and conclude some learning points.
For whatever reasons, when people are not taking responsibility, he will fail in his work, lose respects from others, and fail to grow.
Firstly, you should start from the reality and analyze the cause of the problem, while not find cues to blame other.
Then, based on the result of the analyzing, you should find any actions you can do to create workaround, if the case is quite urgent.
After that, you shall list all the actions strategically, list item by item, group to small project, prioritize them, and schedule them.
Finally, when you complete all the actions needed to solve the problem, you should retrospect the problem, and find process improvement to avoid the same problem in the future. At this point, you could frankly and nicely provide suggestions to others if their mistake leads to the problem. I think they will trust you and appreciate your help.
Well, as I mentioned in the beginning, there are always the guys who will pass the buck to you. You should prepare for this in your work.
Here are some tips:
Management role is always a dagerous role. It a long way for me to be a professional manager.


controllers
{% include "_inc/index/controllers.html" %}
components
{% include "_inc/index/components.html" %}
--- title: 'zKit' description: '' head: title: 'zKit, components for modern web' description: 'zKit, a collection of framework-agnostic components for modern web.' --- {% include "_inc/head_open.html" %} {% include "_inc/head_close.html" %}


Contents:
Dictionary([fpath, msg])
Dictionary
pyzzle.Dictionary.
Bases: object
object
add
calcWeight
Calculate word weights in the dictionary.
deleteUnusableWords
This method checks words in the dictionary and erases words that can not cross any other words.
getK
include
read


Dr. Aditya Khamparia is an eminent academician; plays versatile roles and responsibilities juggling
between lectures, research, publications, consultancy, community service, PhD etc. With 8 years
of rich expertise in teaching and one year in industry; he focuses on rational and practical
learning. He has contributed massive literature in the fields of Educational Technologies,
Intelligent Data Analysis, Nature-Inspired Computing, Machine Learning, Deep Learning and
Soft Computing. He has actively been an organizing end of various reputed International
conferences. He is not only backed with a strong profile but his innovative ideas, research’s end results
and notion of implementation of technology in the Educational and medical field is by and
large contributing to the society significantly. He has completed his Post-Doc from University of
Fortaleza, Brazil in 2019. He has completed his PhD (CSE) from Lovely Professional University
(LPU), M. Tech. (CSE) from Vellore Institute of Technology (VIT), B.E. (CSE) from Rajiv Gandhi
Technical University and also UGC-NET and GATE qualified. He has been involved in teaching
subjects like Artificial Intelligence, Machine Learning, Neural Networks, Data Structures, Soft
Computing, Python Programming etc. Currently, he has published 73 Scientific research papers
in reputed International Journals, Book Chapters and Conferences including 26 SCI Indexed
Journals of IEEE, Elsevier, Springer and Wiley. He has been guest editor in special issues
including SCOPUS Indexed Journals and Book Chapters etc. Invited as a Faculty Resource
Person/Session Chair/Reviewer/TPC member in different FDP, conferences and journals and a
rich experience of handling academic and administrative responsibilities like Head of the
Department, Research Programme Coordinator, Examination Cell, Journal Editorial Review
Board etc. His research area includes Artificial Intelligence, Intelligent Data Analysis,
Educational Technologies, Machine Learning, Deep Learning, and Soft Computing. He is also
associated with various professional bodies like ISTE, IAENG, IACSIT, CSI, ACM, IET, Internet
Society, etc. To excel in the field of Computer Science & IT by converting his innovative ideas
and acquired skills into executable education values in a highly cordial and professional
environment for continuous learning and improvement.
As per the review, various neuromuscular disorders like DMD, BMD and LGMD are increasing at an alarming rate among children of primary age. Interestingly in United Kingdom and USA, people of Indian ethnic background has been identified to be the highest among other civilians who affected badly from DMD or muscular dystrophy disorders. In contrast, people belonging to Muslim community from Bihar, West Bengal and Bangladesh had higher frequency or symptoms of DMD compared to Hindu civilians from Eastern India region. A latest report generated from Ministry of health Informatics in 2013 showed that DMD and other neuromuscular disorders are increasing at an alarming rate and cause several visual, audio and other kind of impairments among children of primary age. On the basis of published reports, nearly 30, 000 cases have been present in India and approx. 3000 being added every year. These disorders enhance the reading, sitting, writing, spelling, walking and other disability among children. Therefore, our prime focus is to provide training and develop learning management systems (LMS) game driven system for such children and provide adaptable content to them according to their needs, preferences by implementing an e-learning web portal which improves their educational needs and preferences.
Aditya Khamparia, Deepak Gupta, Joel JPC Rodrigues, Victor Hugo C de Albuquerque.: “DCAVN: Cervical cancer prediction and classification using deep convolutional and variational autoencoder network”. In: Multimedia Tools and Applications (Springer, SCIE, IF =2.69), DOI: https://doi.org/10.1007/s11042-020-09607-w, pp. 1-17, 2020.
Aditya Khamparia, Deepak Gupta, Victor Hugo C de Albuquerque, Arun Kumar Sangaiah, Rutvij H. Jhaveri: “Internet of health things driven deep learning system for detection and classification of cervical cells using transfer learning”. In: Journal of Supercomputing (Springer, SCIE, IF=2.25), DOI: 10.1007/s11227-020-03159-4, 2020.
Aditya Khamparia*, Babita Pandey, Devendra K Pandey, Deepak Gupta, Ashish Khanna, Victor Hugo C. de Albuquerque: “Comparison of RSM, ANN and Fuzzy logic for extraction of Oleonolic acid from Ocimum Sanctum”. In: Computers in Industry (Elsevier, SCIE, IF=4.76), Vol. 117, May 2020, 103200, DOI: https://doi.org/10.1016/j.compind.2020.103200, 2020.
Rajkamal Kaur, Lalit Kumar Singh, Aditya Khamparia, “Modeling uncertainty of instrument and control system of nuclear power plant”. In: Annals of Nuclear Energy (Elsevier, SCIE, IF=1.6), Vol. 139, 107207, pp. 1-19, 2020.
Aditya Khamparia*, Prakash Kumar Singh, Poonam Rani, Debabrata Samanta, Ashish Khanna, Bharat Bhushan.: An internet of health things‐driven deep learning framework for detection and classification of skin cancer using transfer learning, Transactions on Emerging Telecommunications Technologies (2020), Wiley: e3963 (Wiley, SCI, IF = 1.8).
Praveen Bhanodia, Aditya Khamparia, Babita Pandey.: Supervised Shift k-Means Based Machine Learning Approach for Link Prediction Using Inherent Structural Properties of Large Online Social Network, Computational Intelligence (2020), Wiley, DOI: 10.1111/COIN.12372 (Wiley, SCI, IF=1.2).
Amritpal Singh, Aditya Khamparia.: A hybrid whale optimization-differential evolution and genetic algorithm-based approach to solve unit commitment scheduling problem: WODEGA, Sustainable Computing: Informatics and System,(Elsevier, SCI-E: 2.72), Vol. 28, pp. 100442, 2020.
Aditya Khamparia*, Sagar Pande, Deepak Gupta, Ashish Khanna, Arun Kumar Sangaiah: “Multi level framework for Anamoly detection in Social Networking”. In Library Hi-Tech (EMERALD, SCIE, IF=1.2), DOI: 10.1108/LHT-01-2019-0023, 2020.
Utkarsh Agrawal, Jatin Sharma, Rahul Singh, Deepak Gupta, Ashish Khanna, Aditya Khamparia.: “Hybrid Wolf-Bat algorithm for optimization of connection weights in multi-layer perceptron”. In: ACM Transactions on Multimedia Computing Communications and Applications (ACM Transactions, IF= 2.25), DOI: https://doi.org/10.1145/3350532, 2020.
Utkarsh Agrawal, Jatin Sharma, Rahul Singh, Deepak Gupta, Ashish Khanna, Aditya Khamparia.: “Hybrid Wolf-Bat algorithm for optimization of connection weights in multi-layer perceptron”. In: ACM Transactions on Multimedia Computing Communications and Applications (ACM Transactions, IF= 2.25), DOI: https://doi.org/10.1145/3350532, 2020.
Vikash Chouhan, Sanjay Kumar Singh, Aditya Khamparia, Deepak Gupta, Prayag Tiwari, Catarina Moreira, Robertas Damaševičius, Victor H.C. de Albuquerque, “A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-Ray Images”, 2020, Applied Sciences (MDPI), 10(2), 559, SCI (IF 2.21).
Rahul Malik, Aditya Khamparia, Sahil Garg, Deepak Gupta, Bong Jun Choi, M Shamim Hossain.: Reversible data hiding and smart multimedia computing using big data in remote sensing systems, (IEEE Access, SCIE, IF:3.06), Vol. 8, pp.<PHONE_NUMBER>60, 2020
Bharat Bhushan, Aditya Khamparia, K Martin Sagayam, Sudhir Kumar Sharma, Mohd Abdul Ahad, Narayan C Debnath.: Blockchain for smart cities: A review of architectures, integration trends and future research directions, Sustainable cities and society (Elsevier, SCI-E, IF: 5.67), Vol. 61, pp. 102360, 2020.
Aditya Khamparia, Gurinder Saini, Deepak Gupta, Ashish Khanna, Shrasti Tiwari, Victor Hugo C. de Albuquerque, “Seasonal Crops Disease Prediction and Classification using Deep Convolutional Encoder Network”, Circuits System and Signal Processing, 2019, https://doi.org/10.1007/s00034-019-01041-0, SCIE (IF 1.99).
Aditya Khamparia, Babita Pandey, Deepak Gupta, Joel J P C Rodrigues, Ashish Khanna, Prayag Tiwari, “Investigating the importance of psychological and environmental factors for improving learner’s performance using Hidden Markov Model”, IEEE Access, Vol. 7 (1), pp. 21559-21571, 2019, SCIE (IF 4.09).
Aditya Khamparia, Babita Pandey, Deepak Gupta, Joel J P C Rodrigues, Ashish Khanna, Prayag Tiwari, “Investigating the importance of psychological and environmental factors for improving learner’s performance using Hidden Markov Model”, IEEE Access, Vol. 7 (1), pp. 21559-21571, 2019, SCIE (IF 4.09).
Praveen Bhanodia, Babita Pandey, Devendra Kr Pandey, Aditya Khamparia, “A Comprehensive Survey of Link Prediction in Social Networks: Techniques, Parameters and Challenges”, Expert System with Applications, Vol. 124, pp. 164-18, 2019, SCI (IF 4.29).
Aditya Khamparia, Karan M Singh.: “A Systematic Survey on Deep Learning Architectures and Applications”, Expert System, https://doi.org/10.1111/exsy.12400, Wiley, SCIE (IF 1.5), 2019.
Aditya Khamparia, Babita Pandey, Ashish Luhach, Aman Singh, Devendra K Pandey.: “Classification and Identification of Primitive Kharif Crops using Supervised Deep Convolutional Networks”. In: Sustainable Computing: Informatics and Computing (ELSEVIER, SCIE, IF = 1.8), https://doi.org/10.1016/j.suscom.2019.07.003, 2019.
Aditya Khamparia, Gurinder Saini, Babita Pandey, Shrasti Tiwari, Deepak Gupta, Ashish Khanna.: “KDSAE: Chronic kidney disease classification with multimedia data learning using deep stacked autoencoder network”. In: Multimedia Tools and Applications (SPRINGER, SCIE, IF=2.01), https://doi.org/10.1007/s11042-019-07839-z, 2019.
Aditya Khamparia, Babita Pandey, Shrasti Tiwari, Deepak Gupta, Ashish Khanna, Joel J.P.C Rodrigues, “An integrated Hybrid CNN-RNN model for visual description and generation of captions”. In: Circuit Systems and Signal Processing (Springer, SCIE, IF=1.99), DOI: https://doi.org/10.1007/s00034-019-01306-8, 2019.
Aditya Khamparia, Aman Singh, Divya Anand, Deepak Gupta, Ashish Khanna, Arun Kumar N, Joseph Tan, “A Novel deep learning based multi-model ensemble methods for prediction of neuromuscular disorders”, Neural Computing and Applications, 2018, https://doi.org/10.1007/s00521-018-3896-0, SCIE (IF 4.6).
Aditya Khamparia and Babita Pandey, “Effects of Visual Map Embedded Approach on Students Learning Performance using Briggs-Myers Learning Style in Word Puzzle Gaming Course”, Computers and Electrical Engineering, 5 Jan 2018 Online DOI: 10.1016/j.compeleceng.2017.12.041. (IF = 2.1) Elsevier (SCI indexed).
Dang NH Thanh, Nguyen Ngoc Hien, VB Surya Prasath, Uğur Erkan, Aditya Khamparia, “Adaptive Thresholding Skin Lesion Segmentation with Gabor Filters and Principal Component Analysis”, Intelligent Computing in Engineering, pp. 811-820, Singapore, Springer, 2020.
Aditya Khamparia, Babita Pandey, Aman Singh, Shrasti Tiwari, Parampreet Kaur, “An adaptive web based educational system using HMM approach for C programming”, ICAICR 2018, CCIS, Springer, Shimla, India, 2018.
Aditya Khamparia, Babita Pandey, Parampreet Kaur, Shrasti Tiwari. E-Knowledge Analyzing with Java Ontology, In: 2018 IEEE 6th International Conference on MOOCs, Innovation and Technology in Education (MITE), Pages 60-68, IEEE, Hyderabad, India, 2018.
Yajurv Bhatia, Aman Bajpayee, Deepanshu Raghuvanshi, and Himanshu Mittal. "Image Captioning using Google's Inception-resnet-v2 and Recurrent Neural Network", in Proc. of IEEE International Conference on Contemporary Computing, India, pp. 1-6, 2019. [Paper]
Babita Pandey, R. B. Mishra and Aditya Khamparia, CBR Based Approach for Adaptive Learning in E-Learning System, IEEE International Conference on Asia-Pacific World Congress on Computer Science and Engineering (APWC), 4-5 Nov, 2014, pp. 1-6, The University of Fiji, Fiji, DOI: 10.1109/APWCCSE.2014.7053877https://link.springer.com/chapter/10.1007/978-981-13-1595-4_18
Aditya Khamparia, Namita Sharma, Babita Pandey, Ontology based Product Information Retrieval ECOMMTOLOGY, In proceeding of IEEE Second International Conference on Computational Intelligence & Communication Technology (CICT) , 2016, pp. 627 – 631, (held in Ghaziabad, New Delhi). DOI: 10.1109/CICT.2016.130
Aditya Khamparia, Monika Rani, Babita Pandey, O P Vyas, Blended e Learning Training (BeLT): Enhancing Railway Station controller Knowledge, Second International Conference on ICT for Competitive Strategies, 4-5 March,2016, Udaipur, INDIA. DOI: 10.1145/2905055.2905170
Aditya Khamparia, Babita Pandey, Architecture and performance based comparison of semantic web service processes, 2nd IEEE International Conference on Next Generation Computing Technologies (NGCT-2016) Dehradun, India 14-16 October<PHONE_NUMBER>/NGCT.2016.7877423.
Aditya Khamparia, Rubina, Amandeep Gahrier, Real time Prediction of Bus Arrival Time: A review, 2nd IEEE International Conference on Next Generation Computing Technologies (NGCT-2016) Dehradun, India 14-16 October 2016 978-1-5090-3257-0/16/$31.00 ©2016 IEEE.
Aditya Khamparia, Vikas Pardesi.: Encryption/Decryption of X-ray images using Elliptical curve cryptography with issues and applications. In: Emerging ICT for bridging the future- Springer link, JNTU Hyderabad. (December 2014).
Aditya Khamparia, Saira Banu.: Program analysis with dynamic instrumentation Pin and Performance Tools. In: Proceedings of the IEEE International conference on Emerging Trends in Computing, Communication and Nanotechnology, Tamilnadu. (March 2013).
Aditya Khamparia, Vikas pardesi, Narendra Kr Bagde.: A secure framework in Brokerage of heterogeneous cloud environment for multiple cloud providers. In; Proceedings of the IEEE CONFLUENCE, 978-1-4799-4236-7/14/$31.00_c 2014 IEEE (2014).
Aditya Khamparia, Babita Pandey, An adaptive Java Tutorials using HMM Based Approach, in Proceedings of Springer Book Series on “Advances in Intelligent Systems and Computing” (SCOPUS), at North West Group of Institutions, Moga, Punjab, India during 23-24 June 2017.
| Python |
|
| MATLAB | |
| TensorFlow | |
| Keras | |
| C | |
| TensorFlow.js | |
| Java | |
| Git | |
| HTML+CSS+JS | |
| SQL | |


About Me
Hello, my name is Sahil Patel.
I’m an investor and co-owner of a marketing/tech company here in Atlanta, Georgia. My investments varies from businesses from gas stations to hotels around the nation. My marketing and tech company works with car dealership nation wide. They provide digital content from SEO to consulting services to help dealers their build digital footprint to get more leads. The technology side, we provide VR/AR services to the dealers to show their consumer the cockpit of any vehicle. This allows customers to go to any dealership website to see the features of the vehicle. This would be done either on a browser or mobile device. Having the VR/AR functionality, This will allows the consumers to interact with the vehicle and understand what features come with the vehicle and see the different color options before making their purchase.
I love technology. That is one of the reasons why I wanted to understand how something is created and services that can ease someone’s life. That is why I want to further my education and learn computer science to create more tech companies and build applications and services that would help people in the world.
I was born and raised in Philadelphia, Pennsylvania. My parents are originally from India. This would make me the first generation to be born here in America. I enjoy playing and watching sports. I love doing any outdoor activities like hiking, riding a bike, and more. I enjoy traveling and huge foodie. Here’s a link to my LinkedIn and Resume.


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This class is used to perform boolean operations on two level sets and write the resulting level set into the first passed level set. When the boolean operation is set to CUSTOM, a comparator must be set using setBooleanOperationComparator. This comparator returns one value generated from the level set value supplied by each level set. E.g.: for a union, the comparator will always return the smaller of the two values. The function signature for the comparator is defined in the public ComparatorType.
More...
#include <lsBooleanOperation.hpp>
|
| | lsBooleanOperation () |
| |
| | lsBooleanOperation (lsSmartPointer< lsDomain< T, D > > passedlsDomain, lsBooleanOperationEnum passedOperation=lsBooleanOperationEnum::INVERT) |
| |
| | lsBooleanOperation (lsSmartPointer< lsDomain< T, D > > passedlsDomainA, lsSmartPointer< lsDomain< T, D > > passedlsDomainB, lsBooleanOperationEnum passedOperation=lsBooleanOperationEnum::INTERSECT) |
| |
| void | setLevelSet (lsSmartPointer< lsDomain< T, D > > passedlsDomain) |
| | Set which level set to perform the boolean operation on. More...
|
| |
| void | setSecondLevelSet (lsSmartPointer< lsDomain< T, D > > passedlsDomain) |
| | Set the level set which will be used to modify the first level set. More...
|
| |
| void | setBooleanOperation (lsBooleanOperationEnum passedOperation) |
| | Set which of the operations of lsBooleanOperationEnum to perform. More...
|
| |
| void | setBooleanOperationComparator (ComparatorType passedOperationComp) |
| | Set the comparator to be used when the BooleanOperation is set to CUSTOM. More...
|
| |
| void | setUpdatePointData (bool update) |
| | Set whether to update the point data stored in the LS during this algorithm. Defaults to true. More...
|
| |
| void | setPruneResult (bool pR) |
| | Set whether the resulting level set should be pruned. Defaults to true. More...
|
| |
| void | apply () |
| | Perform operation. More...
|
| |
| | lsBooleanOperation () |
| |
| | lsBooleanOperation (lsSmartPointer< lsDomain< T, D > > passedlsDomain, lsBooleanOperationEnum passedOperation=lsBooleanOperationEnum::INVERT) |
| |
| | lsBooleanOperation (lsSmartPointer< lsDomain< T, D > > passedlsDomainA, lsSmartPointer< lsDomain< T, D > > passedlsDomainB, lsBooleanOperationEnum passedOperation=lsBooleanOperationEnum::INTERSECT) |
| |
| void | setLevelSet (lsSmartPointer< lsDomain< T, D > > passedlsDomain) |
| | Set which level set to perform the boolean operation on. More...
|
| |
| void | setSecondLevelSet (lsSmartPointer< lsDomain< T, D > > passedlsDomain) |
| | Set the level set which will be used to modify the first level set. More...
|
| |
| void | setBooleanOperation (lsBooleanOperationEnum passedOperation) |
| | Set which of the operations of lsBooleanOperationEnum to perform. More...
|
| |
| void | setBooleanOperationComparator (ComparatorType passedOperationComp) |
| | Set the comparator to be used when the BooleanOperation is set to CUSTOM. More...
|
| |
| void | setUpdatePointData (bool update) |
| | Set whether to update the point data stored in the LS during this algorithm. Defaults to true. More...
|
| |
| void | setPruneResult (bool pR) |
| | Set whether the resulting level set should be pruned. Defaults to true. More...
|
| |
| void | apply () |
| | Perform operation. More...
|
| |
template<class T, int D>
class lsBooleanOperation< T, D >
This class is used to perform boolean operations on two level sets and write the resulting level set into the first passed level set. When the boolean operation is set to CUSTOM, a comparator must be set using setBooleanOperationComparator. This comparator returns one value generated from the level set value supplied by each level set. E.g.: for a union, the comparator will always return the smaller of the two values. The function signature for the comparator is defined in the public ComparatorType.
- Examples
- AirGapDeposition.cpp, Deposition.cpp, GeometricAdvection.cpp, PatternedSubstrate.cpp, PeriodicBoundary.cpp, SquareEtch.cpp, and VoidEtching.cpp.
◆ ComparatorType [1/2]
template<class T , int D>
| using lsBooleanOperation< T, D >::ComparatorType = std::pair<T, bool> (*)(const T &, const T &) |
◆ ComparatorType [2/2]
template<class T , int D>
| using lsBooleanOperation< T, D >::ComparatorType = std::pair<T, bool> (*)(const T &, const T &) |
◆ lsBooleanOperation() [1/6]
template<class T , int D>
◆ lsBooleanOperation() [2/6]
template<class T , int D>
◆ lsBooleanOperation() [3/6]
template<class T , int D>
◆ lsBooleanOperation() [4/6]
template<class T , int D>
◆ lsBooleanOperation() [5/6]
template<class T , int D>
◆ lsBooleanOperation() [6/6]
template<class T , int D>
◆ apply() [1/2]
template<class T , int D>
◆ apply() [2/2]
template<class T , int D>
◆ setBooleanOperation() [1/2]
template<class T , int D>
Set which of the operations of lsBooleanOperationEnum to perform.
◆ setBooleanOperation() [2/2]
template<class T , int D>
Set which of the operations of lsBooleanOperationEnum to perform.
◆ setBooleanOperationComparator() [1/2]
template<class T , int D>
Set the comparator to be used when the BooleanOperation is set to CUSTOM.
◆ setBooleanOperationComparator() [2/2]
template<class T , int D>
Set the comparator to be used when the BooleanOperation is set to CUSTOM.
◆ setLevelSet() [1/2]
template<class T , int D>
Set which level set to perform the boolean operation on.
◆ setLevelSet() [2/2]
template<class T , int D>
Set which level set to perform the boolean operation on.
◆ setPruneResult() [1/2]
template<class T , int D>
Set whether the resulting level set should be pruned. Defaults to true.
◆ setPruneResult() [2/2]
template<class T , int D>
Set whether the resulting level set should be pruned. Defaults to true.
◆ setSecondLevelSet() [1/2]
template<class T , int D>
Set the level set which will be used to modify the first level set.
◆ setSecondLevelSet() [2/2]
template<class T , int D>
Set the level set which will be used to modify the first level set.
◆ setUpdatePointData() [1/2]
template<class T , int D>
Set whether to update the point data stored in the LS during this algorithm. Defaults to true.
◆ setUpdatePointData() [2/2]
template<class T , int D>
Set whether to update the point data stored in the LS during this algorithm. Defaults to true.
The documentation for this class was generated from the following files:


text stream interface.
More...
#include <text_stream.hpp>
◆ convert_position_object()
| static long hou::text_stream::convert_position_object |
( |
text_position |
pos | ) |
|
|
staticprotectednoexcept |
Converts a position object to an integer type.
If a derived class needs to convert a text_position into an integer, it can use this utility method.
- Parameters
-
- Returns
- the corresponding value of the text_position object as an integer type.
◆ create_position_object()
| static text_position hou::text_stream::create_position_object |
( |
long |
value | ) |
|
|
staticprotectednoexcept |
Creates a text_position object with the given value.
Since the text_position object constructor is private, derived classes can use this utility function to create one if necessary.
- Parameters
-
◆ get_text_pos()
◆ set_text_pos()
Sets the current text position indicator.
- Parameters
-
| pos | the current text position indicator. It must either be start or a value obtained by calling get_text_pos on this stream. Using a value obtained by calling get_text_pos on another text_stream is undefined behaviour. |
- Exceptions
-
- Returns
- a reference to this stream.
Implemented in hou::text_file_in, and hou::text_file_out.
The documentation for this class was generated from the following file:


PORT-OF-SPAIN, Trinidad (AP) -- Defending his brand of world politics, President Barack Obama said Sunday...
Both Graham and McCaskill spoke on "Fox News Sunday." Ensign was interviewed on CNN's "State of the Union."
geo
spec. Note at this time this is not supported.PORT-OF-SPAIN, Trinidad (AP) -- Defending his brand of world politics, President Barack Obama said Sunday...
Both Graham and McCaskill spoke on "Fox News Sunday." Ensign was interviewed on CNN's "State of the Union."


Basic GCD Timer
Introduction
This is a fundamental tool: A simple Grand Central Dispatch timer that either fires repeatedly, or only once.
What Problem Does This Solve?
Timers are necessary for many different reasons. They could be the driving engine of a clock app, or a UI tool to refresh a display or close a screen.
This will allow “leeway,” which Apple suggests as a way to help reduce energy usage.
The timer is thread-independent. You can instantiate it on any queue that you want.
It’s incredibly simple. Just a “set and forget,” if you are firing just once, or a simple repeating callback.
Requirements
It should work fine for osx, tvOS and iOS. It only depends on the Swift Foundation library.
This requires Swift Version 4.0 or above (tested with 4.2).
WHERE TO GET
This is the GitHub repo for the project..
This is the documentation page for it
USAGE
Swift Package Manager (SPM)
You can use SPM to load the project as a dependency, by referencing its GitHub Repo URI (SSH: git@github.com:RiftValleySoftware/RVS_BasicGCDTimer.git, or HTTPS: https://github.com/RiftValleySoftware/RVS_BasicGCDTimer.git).
Once you have the dependency attached, you reference it by adding an import to the files that consume the package:
import RVS_BasicGCDTimer
Include the Source in Your Project
This is a simple source file; not a module.
To use this, simply add the RVS_BasicGCDTimer/RVS_BasicGCDTimer.swift file to your project; copying it wherever you want.
You then instantiate the timer:
Either as a one-shot timer (in this case, 100 milliseconds), or as a repeating timer:
timeIntervalInSeconds
is a double-precision floating point number, with the timer period, in seconds (not milliseconds). It is required to be a positive value over zero.
The delegate
is required. The timer won’t work at all without a valid delegate.
leewayInMilliseconds
is the recommended “leeway” that Apple suggests that you give timers. This helps conserve energy in mobile devices.
Set onlyFireOnce
to true in order for the timer to be a “one-shot” timer.
someContext
is any data that you want returned to the callback in your delegate method. It will be available as the timer’s context
property.
queue
is the GCD queue to use. Not specifying means that the default queue is used.
isWallTime
asks the timer to use the “Apple Wall Clock” time. That time is absolute, and doesn’t care about whether or not the computer sleeps or has performance breaks. It tends to be more consistent.
Note that using Wall Time can lead to unexpected behavior. For example, if the app is suspended for some period of time, and is restarted, instead of continuing where it left off, the completion call may be executed immediately.
newTimer = RVS_BasicGCDTimer(timeIntervalInSeconds: 0.1, delegate: someDelegate, leewayInMilliseconds: 25.0, onlyFireOnce: true, context: someContext, queue: DispatchQueue.main, isWallTime: true)
Here, we specify a repeating timer, with no leeway, and no context data:
newTimer = RVS_BasicGCDTimer(timeIntervalInSeconds: 0.1, delegate: someDelegate, leewayInMilliseconds: 0, onlyFireOnce: false, context: nil, queue: nil, isWallTime: false)
However, there’s a lot of defaults. You can specify the exact same as such:
newTimer = RVS_BasicGCDTimer(timeIntervalInSeconds: 0.1, delegate: someDelegate)
Once the timer is instantiated, you start it by calling resume()
:
newTimer.resume()
You pause (suspend) a running timer by calling pause()
:
newTimer.pause()
If the timer is not already running, nothing happens. If it is running, then it suspends.
If repeating, the timer will repeat until it is invalidated or deinitialized:
newTimer.invalidate()
If a “one-shot,” then the timer is invalidated as soon as it completes.
Delegate
The delegate has one required method, and four optional ones (with default extension handlers). The parameter passed in is the timer object.
You can look at the timer object’s context
property for any data/functions/whatever that you want the callback to access.
This one is called at the completion of the timer. It is required:
func basicGCDTimerCallback(_ timer: RVS_BasicGCDTimer)
This one is an optional method that is called when the timer bcomes valid:
func basicGCDTimerValid(_ timer: RVS_BasicGCDTimer)
This one is an optional one that is called JUST PRIOR to a timer bcoming invalid:
func basicGCDTimerWillBecomeInvalid(_ timer: RVS_BasicGCDTimer)
This is an optional method that is called as the timer is suspended:
func basicGCDTimerSuspend(_ timer: RVS_BasicGCDTimer)
This is an optional method that is called as the timer is resumed (which includes the initial start):
func basicGCDTimerResume(_ timer: RVS_BasicGCDTimer)
DEPENDENCIES
There are no dependencies to use RVS_BasicGCDTimer in your project. In order to test it and run it in the module project, you should use CocoaPods to install SwiftLint, although that is not required. It’s just good practice.
LICENSE
MIT License
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.
The Great Rift Valley Software Company: https://riftvalleysoftware.com


A simulation model has an underlying time model, which can be either discrete time, when setting
sim.model.time = "discrete";
or continuous time, when setting
sim.model.time = "continuous";
Choosing a discrete time model means that time is measured in steps (with equal durations), and all temporal random variables used in the model need to be discrete (i.e., based on discrete probability distributions). Choosing a continuous time model means that one has to define a simulation time granularity, as explained in the next sub-section.
In both cases, the underlying simulation time unit can be either left unspecified (e.g., in the case of an abstract time model), or it can be set to one of the time units "ms", "s", "min", "hour", "day", "week", "month" or "year", as in
sim.model.timeUnit = "hour";
Typical examples of time models are:
An abstract discrete model of time where time runs in steps without any concrete meaning:
sim.model.time = "discrete";
A concrete discrete model of time in number of days:
sim.model.time = "discrete"; sim.model.timeUnit = "day";
A concrete continuous model of time in number of seconds:
sim.model.time = "continuous"; sim.model.timeUnit = "s";
A model's time
granularity is the time delay until the next moment, such that the
model does not allow considering an earlier next moment. This is captured by
the simulation parameter nextMomentDeltaT used by the simulator for
scheduling immediate events with a minimal delay. When a simulation model is
based on discrete time, nextMomentDeltaT is set to 1, referring to
the next time point. When a simulation model is based on continuous time,
nextMomentDeltaT is set to the default value 0.001, unless the model
parameter sim.model.nextMomentDeltaT
is explicitly assigned in
the simulation.js file.
An important issue in simulation is the question how the simulation time is advanced by the simulator. The OES paradigm supports next-event time progression and fixed-increment time progression, as well as their combination.
An OESjs-Core0 model with fixed-increment time
progression has to define a suitable periodic time event type, like
EachSecond
or EachDay
in the form of an exogenous
event type with a recurrence function returning the value 1. Such a model
can be used for
Examples of discrete event simulation models with fixed-increment time progression and no explicit events are the Schelling Segregation Model and the Susceptible-Infected-Recovered (SIR) Disease Model.


THREE KINGS
Reviewed by Harvey Karten Warner Bros./Village Roadshow Director: David O. Russell Writer: David O. Russell, story by John Ridley Cast: George Clooney, Mark Wahlberg, Ice Cube, Spike Jonze, Nora Dunn, Jamie Kennedy, Mykelti Williamson
President George Bush expected to win the election of 1992 and who could blame him? Americans traditionally give another spin to an incumbent chief, Democrat Bill Clinton was effectively portrayed as a draft-dodger, the economy was in decent shape, and most of all Bush emerged a hero after winning the Gulf War against Iraq. Whatever went wrong with the campaign, Bush would have lost by even greater numbers if "Three Kings" were released during the contest for the high office. Written and directed by David O. Russell ("Spanking the Monkey," "Flirting with Disaster,"), this film combines Russell's experience in doing quirky indie features with his adeptness at the action-adventure genre to portray the American president as a man who essentially lost the war. How so? Although Kuwait was effectively freed from its occupation by Saddam's Iraqi troops, Bush may have lied to the rebels in Iraq who wanted to see Saddam toppled. According to the story by John Ridley, Bush had promised that if the anti-Saddam people rose up in revolt against the leader they hated, the Americans would support them--just as JFK had promised aid to Cubans who'd rise up against Castro. But Bush, like Kennedy, demurred on his promise, leaving those naive enough to believe him to be slaughtered by Saddam.
"Three Kings" is not a knee-jerk anti-war picture. It does not give the message that combat is futile. After all, the U.S. did succeed in its stated mission to liberate oil-rich Kuwait and to keep the pipelines flowing unhampered to the West. Instead, by effectively combining a Saturday Night Live kind of irony and wit with some special effects that are more germane to Illustrated Man science encyclopedias, Russell effectively criticizes America's callous, overly pragmatic aims in the war. The White House comes across as a force interested only in an economic success--keeping black gold gushing and flowing into Western gas tanks and factories-- while turning its back on the downtrodden people of that hapless Middle Eastern nation.
But "Three Kings" is no sermonizing bit of agitprop in favor of more aggressive action. The picture portrays the war as violent, though not in the ruthless manner of Steven Spielberg's wonderful "Saving Private Ryan"--but rather as a panorama of utter craziness, from the booze-filled celebratory parties of the American troops to the frenzied pot pourri involving rebellious Iraqis against the loyalists, and Americans against the former. As in the Vietnam War, one could scarcely blame the U.S. for confusing the two groups, hardly able to sort out friend from foe.
The picture opens just after the war allegedly ends with a cease-fire in 1991, an agreement that should have meant the termination of all gunplay. But the desert sands stir when Captain Archie Gates (George Clooney), learning of the existence of gold that Saddam had stolen from Kuwait which lies stores in a bunker, decides to cut himself in to some of the bullion. Grabbing three soldiers who have extricated a map of its whereabouts from an Arab's anal cavity, he sets out with Sgt. Troy Barlow (Mark Wahlberg), Sgt. Chief Elgin (Ice Cube), and Private Conrad Vig (Spike Jonze--who, incidentally directed the even quirkier movie to be released soon, "Being John Malkovich"). Rationalizing that they would not really be stealing since the gold is in possession of their country's arch enemy, they lose an aggressive reporter, Adriana Cruz (Nora Dunn) and go off to find the bullion.
In a Kafkaesque scene, the Yanks watch helplessly-- ignored by pro-Saddam troops who are concentrating on rebels in a village--until an enemy soldier shoots a girl's mother. From point on, chaos reigns as the gold-digging quartet discover scruples they never knew they had and risk court martial by shattering the cease fire and discharging rounds against the Iraqi soldiers.
Using special film stock to show the disorientation of the troops, Russell adds some poignant scene including one in which an Iraqi, having captured Troy Barlow, speaks to him about his own pain--how his one-month old son was blown to bits by American bombs released over his village while Barlow's little daughter is safe with her mother in Arizona.
Director Russell wears his morality on his sleeve, playing with the old philosophic inquiry about whether disobeying orders can be more ethical than complying with directives from on-high. He startles us at several points, showing what happens to a man's body when a bullet pierces the skin. In a kind of World-Book scientific exploration, he essentially x-rays a soldier at the moment of a bullet's impact, showing how the cartridge penetrates organs releasing bile and a subsequent host of bacteria--which leads the victim to be overcome by sepsis and ultimate death unless swift action is taken.
Filmed in Mexicali and parts of Arizona and California, "Three Kings" is a treat for a sophisticated audience: an opulent film with indie conventions running throughout yet one which could satisfy a larger audience of action-adventure fans. Like Andrew Fleming's comedy "Dick," however, "Three Kings" may baffle those who are too young to have lived through the Gulf War, who have not read much about it, and who may be perplexed by the confluence of forces which sometimes fire upon one another, at other times ignoring the opposite side. Ice Cube is growing as an actor while George Clooney and Mark Wahlberg turning in predictably professional turns in the first major American movie to deal with 1990's combat.
Rated R. Running Time: 115 minutes. (C) 1999 Harvey Karten
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