hilary_mason_data hilary_mason_data-2008 knowledge-graph by maker-knowledge-mining
1 hilary mason data-2008-09-27-Firefox Extension: Open Tab Count 1.0
Introduction: Firefox Extension: Open Tab Count 1.0 Posted: September 27, 2008 | Author: hilary | Filed under: projects | Tags: extension , firefox | 12 Comments » Open tab count extension in the status bar How many tabs do you have open in your browser right now? Did you have to count manually? Are you using Firefox? Try the open tab count extension! I created this extension because I wanted to explore memory management in browser tabs, and I was curious about the Firefox extension architecture. I’m not quite as eager to explore memory hacks in Firefox now that Google Chrome is out and handles that issue natively, but I’m still using this extension to monitor my tab (over)usage. The extension puts a small icon in the status bar alongside the number of open tabs. If more than one window is open, the extension shows the number of open tabs in the current window / the total number of open tabs. Please let me know below if you have any comments! Update
2 hilary mason data-2008-09-26-What am I like? How about you?
Introduction: What am I like? How about you? Posted: September 26, 2008 | Author: hilary | Filed under: blog | Tags: me , path101 , personality | Leave a comment » My Path 101 Personality Quiz Traits Highest Scoring Traits Love of Thinking Relativism Compartmentalization Lowest Scoring Traits Concreteness Idealism Emotion Like-minded people work in: Biotechnology and Pharmaceuticals Medical Equipment Manufacturing Computer Hardware and Infrastructure Urban Planning Corporate Law See hmason’s full assessment and get your own . I’ve always been skeptical of and fascinated by personality tests. On the one hand, it’s your personality — who could possibly know more about you than you do? On the other, there’s something alluring about quantifying your characteristics, especially when you can compare them to others. These are my results from the Path101 person
3 hilary mason data-2008-07-21-Welcome
Introduction: Welcome Posted: July 21, 2008 | Author: hilary | Filed under: blog | Tags: second life , virtual worlds | 1 Comment » Hello, and welcome to everyone who found this site via Torley’s story on the Second Life blog ! I lead the Immersive Media Lab at J&W; University . Several of our projects have utilized Second Life, including Virtual Morocco (cultural exchange and tourism promotion for the country of Morocco) and SLMetrics (a study of behavior modeling in virtual environments). This isn’t a Second Life blog, but you will find LSL scripts and other related ephemera around. You can subscribe to the RSS feed for this site, or find out more about me at HilaryMason.com .
4 hilary mason data-2008-03-27-InfoFez: Information-based Navigation in Second Life
Introduction: InfoFez: Information-based Navigation in Second Life Posted: March 27, 2008 | Author: hilary | Filed under: projects | Tags: education , secondlife , webapp | Leave a comment » The new version of the InfoFez launches on April 7th… be there!
5 hilary mason data-2008-03-26-The Essential Elements of Geek Culture (March, 2008)
Introduction: The Essential Elements of Geek Culture (March, 2008) Posted: March 26, 2008 | Author: hilary | Filed under: blog | Tags: education | 7 Comments » I was talking to my web programming seminar about regular expressions and made an allusion to the xkcd comic on that topic . Unfortunately, none of them had seen it, probably because none of them were familiar with xkcd. Students should become familiar with the concepts and practice of the discipline, but also with the culture and in-jokes that will help them fit in when they get into industry or graduate school. I also like to get people to laugh in ways that are relevant to the subject material (yes, I use a lot of cheesy geek jokes — ask me to tell you my LISP joke sometime). I asked the Twitter community what other geek cultural elements I should introduce the students to, and here are the answers: The comics: xkcd , Penny Arcade The cute things: Kitty Hell , Pink Tentacle , Cute Overload ,
6 hilary mason data-2008-03-17-LSL: Notecard Selector
Introduction: LSL: Notecard Selector Posted: March 17, 2008 | Author: hilary | Filed under: blog | Tags: library , library script , lsl , lsl script , script , second life , social networking , virtual worlds | 15 Comments » One of my friendly librarian colleagues in SL asked if I had a script to generate dialogs and allow users to select notecards handy. I didn’t, so I coded it up. It seems like it could be useful to others, so here you go: This script is in LSL, for Second Life. Just copy and paste it into a script, throw a few notecards into the object, and you’ll be ready to go! // Notecard Selector // by Ann Enigma // This script presents users with a list of notecards in a dialog box, and allows them to select one // Note: The names of the notecards must be less than 24 characters long // This script is licenced under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 United States License // http://creativecommons.org/licenses/by-nc-sa/3.
7 hilary mason data-2008-03-08-Following a group of Twitterers without exhausting SMS
Introduction: Following a group of Twitterers without exhausting SMS Posted: March 8, 2008 | Author: hilary | Filed under: blog | Tags: code , hack , sms , social networking , sxsw , twitter , utilities , web apps , web dev | Leave a comment » I’m at SXSW, and I want an ability to see the latest Tweets from the group of Twitterers that I follow who are here in the area. I also have a limited number of text messages on my phone (1500, but still). I coded up a quick app that allows you to great a group of twitterers and see their latest tweet on a mobile-friend page. Check it out . Comments are welcome!
8 hilary mason data-2008-01-28-How to Control Second Life with a Wii-mote (on a Macbook Pro)
Introduction: How to Control Second Life with a Wii-mote (on a Macbook Pro) Posted: January 28, 2008 | Author: hilary | Filed under: blog | Tags: darwiinremote , second life , virtual worlds , wii , wii hacking , wiimote | 7 Comments » My research group had some fun controlling SL with a Wii-mote a few weeks ago. It’s easier than you think! Several people have asked how we did it, so I hope these quick instructions might come in handy. Download, install, and run DarwiinRemote . Turn Bluetooth on on the Macbook. You can do this by opening the Bluetooth Preferences Pane (Apple menu, System Preferences and choose “Bluetooth” under Hardware) and clicking the big “Turn Bluetooth On” button. If Bluetooth is already on, you can skip this step!  The LEDs on the Wii-mote will flash. As you move the Wii-mote, you’ll see your movement plotted on the screen, as you see below. Dr
9 hilary mason data-2008-01-22-What’s wrong with this hat?
Introduction: What’s wrong with this hat? Posted: January 22, 2008 | Author: hilary | Filed under: blog | Tags: education , second life , virtual worlds | 8 Comments » The vendor containing this hat was recently deleted from Virtual Morocco by an employee of Linden Lab without any notification to me. Why? Because an anonymous person complained that it is “broadly offensive”. Virtual Morocco was created to be both a tourism promotion platform and a space for cultural exchange. It was built entirely by undergraduate students as an educational service-learning project. We give space in the Marrakesh Marketplace to several Moroccan artisans with virtual goods for sale. Our only requirements are that they keep everything appropriate to the sim’s theme and to the educational context of the space. The vendor selling the hat was owned by a college student (not from our institution) who specializes in items appropriate for the Morocco of the 1940s. This hat does appea
10 hilary mason data-2008-01-22-Create a group Twitter account
Introduction: Create a group Twitter account Posted: January 22, 2008 | Author: hilary | Filed under: blog | Tags: hack , social networking , twitter , web apps , web dev | 13 Comments » Twitter rocks. It’s useful for all kinds of things , but especially for chronicling a live event as it happens, including the pre-event discussion and post-conference wrapup. We’re very excited to be hosting NewB Camp here in Providence, RI on February 23rd. In preparation for the event, Sara created a NewBCamp Twitter account and I coded up this quick script to pull in all tweets related to the conference. It examines all of your followers tweets for a particular phrase or tag, and then reposts those tweets containing the tag to its own timeline with the author’s name prepended. I’m running this as a cron job on my hosting account. You can see it in action here . This is a quick hack. It has a couple of issue that I’m aware of: Someone has to log in and manually add


Provides a list of functions for the Bayesian modeling of archaeological chronologies. The Bayesian models are implemented in 'JAGS' ('JAGS' stands for Just Another Gibbs Sampler. It is a program for the analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation. See <http://mcmc-jags.sourceforge.net/> and "JAGS Version 4.3.0 user manual", Martin Plummer (2017) <https://sourceforge.net/projects/mcmc-jags/files/Manuals/>.). The inputs are measurements with their associated standard deviations and the study period. The output is the MCMC sample of the posterior distribution of the event date with or without radiocarbon calibration.
| Version: | 0.1 |
| Depends: | R (≥ 2.10), coda, rjags, ArchaeoPhases |
| Imports: | stats, utils, graphics, grDevices, Bchron |
| Suggests: | knitr, rmarkdown |
| Published: | 2017-11-17 |
| Author: | Anne Philippe [aut, cre], Marie-Anne Vibet [aut] |
| Maintainer: | Anne Philippe <anne.philippe at univ-nantes.fr> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Citation: | ArchaeoChron citation info |
| Materials: | NEWS |
| CRAN checks: | ArchaeoChron results |
| Reference manual: | ArchaeoChron.pdf |
| Vignettes: |
ArchaeoChron |
| Package source: | ArchaeoChron_0.1.tar.gz |
| Windows binaries: | r-devel: ArchaeoChron_0.1.zip, r-release: ArchaeoChron_0.1.zip, r-oldrel: ArchaeoChron_0.1.zip |
| OS X binaries: | r-release: ArchaeoChron_0.1.tgz, r-oldrel: ArchaeoChron_0.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=ArchaeoChron to link to this page.


Across: 1. Little hen, but big schemes for doing what has to be done (6,3,6) 9. Heard trouble and bolted (5) 10. A main code broken by young country (9) 11. The March of Time, perhaps, all points to a dance (8) 12. Time is prone to be endless and tangled (6) 14. How time is intially marked by clock outwardly (4) 16.  Type of report - Sweeney's mad about it (10) 20. A place to be larger at heart (4) 22. Leak salacious snippet backing the state (6) 23. Decoration or label attached to Northern Territory (8) 26. Right among the best of those that 16 the most (9) 27. Firm support for charmed dancer perhaps (5) 28. Who let hot winter ruin yield? (5,2,3,5) Down: 1,17. Supporting the boat race ahead of the dance makes for an awkward lie (6,3,5,4) 2. Confuse the result of a bent 24 (5) 3. Pits maniac and U.S. agency against tax cheats (6) 4. Above which the 7 is bare of tree limb in whatever shape or form (10) 5. Every good fruit gets decapitated (4) 6. Provide support to cook up dinner (8) 7. Terrible scandal with Physical Education's horizontal orientation (9) 8. Mark as one of the writers destined never to meet (5) 13. Extend trust to Che's movement (10) 15. Hear Clive became a knight (9) 17. see 1 Dn 18. It can convey Hicks' raw transcriptions (8) 21. Is he a part of the team as cotrainer or is he just in a symbolic role? (6) 22. Drab botanist provided religious leadership (5) 24. Twisted bowel can get stuck in ribs due to snoring (5) 25. This one's inert - plays with none (4)


table,th,td {
i am a very beautiful babe, dark in colour amd mama of two my name is grace i love eating i can dance in africa--- my best color is red.
my inspiration is that Abocoders gives hope to women by educating them
if u can do it i can do better


home
location
accomidation
practical
contact
NL
FR
EN
ES
Sleepstreet
Furnished apartments and house in the heart of Ghent, to rent for short or longer term.


Simulator
This is a sample application demonstrating the Xively platform.
Installation
The simplest and recommended method of installation is through Heroku. Simply click the button below.
Local Installation
If you would like to run the app locally, check your system requirements, clone this repository, and run the following from the command line:
# You only need to run the following two commands once
npm install
npm run provision
# This must be run each time you want to work on the project
npm run dev
Navigate to http://localhost:5000/ in your browser to access the app. The application will automatically refresh as you make changes to the source code.
Heroku Installation
If you are making changes to this repo or a fork of it you'll need commit the built client files to deploy it. You can follow this script as an example.
git clone git@github.com:my-github-user/simulator.git
cd simulator
git checkout -b my-changes
# make your changes
npm run dev
# test your changes
git add .
git commit
git checkout -b my-changes-heroku
npm run build
# public is normally ignored in git
git add public --force
git commit -m "Build"
Then you can push to your heroku instance from a heroku-cli set remote.
git push heroku my-changes-heroku:master --force
Or deploy a from scratch copy by pushing to your fork and deploying with https://heroku.com/deploy.
git push origin my-changes-heroku
# https://heroku.com/deploy?template=https://github.com/my-github-user/simulator/tree/my-changes-heroku
Updating Data-Flow Dependencies (habanero)
Since data flow is a seperate application, to obtain updates from that repository, you can run the following commands to force a rebuild,
replacing my-changes-heroku
with the branch of the simulator you are using.
heroku config:set NODE_MODULES_CACHE=false
git commit -am 'disable node_modules cache force rebuild' --allow-empty
git push heroku my-changes-heroku:master --force
Developer Scripts
There are a handful of npm scripts to aid in development.
-
build
– build the client app to thepublic
-
build:watch
– build the client app to thepublic
and watch for changes -
clean
– delete thepublic
folder -
dev
– run a development version of the app and watch for changes -
lint
– lint JavaScript files -
local-provision
– configure the app to run locally -
start
– start the Node server -
start:watch
– start the Node server and restart on file changes -
syncdb
– sync database, create tables -
test
– run all tests -
test-client
– run client tests -
test-client:watch
– run client tests and watch for changes -
test-server
– run server tests
Configuration
Environment Variables
- XIVELY_IDM_HOST
- XIVELY_TIMESERIES_HOST
- XIVELY_BROKER_HOST
- XIVELY_ACCOUNT_ID
- XIVELY_IDM_EMAIL_ADDRESS
- XIVELY_IDM_PASSWORD
- XIVELY_MQTT_USERNAME
- XIVELY_MQTT_PASSWORD
- HABANERO_EMBEDDED
Salesforce Integration
This application can be used to demonstrate Xively's integration with Salesforce. To try that out, set up your Salesforce account as follows:
- Create a Salesforce account
- Install this Salesforce package: https://login.salesforce.com/packaging/installPackage.apexp?p0=04t36000000HRMn
Now that your Salesforce account is set up, it's time to configure the application. This process is different depending on whether you're setting things up locally or if you'll be running it on Heroku.
Heroku
- Log into Heroku
- Navigate to this application
- Insert your Salesforce credentials into the dashboard, and save the changes
- When the application restarts, it will upload a Contact and the devices as Assets to Salesforce
Local development
- Be sure that you've provisioned the app before. If you have, then you will have
a
.env
file. - Open up
.env
and add three new fields:-
SALESFORCE_USER
: your Salesforce username. This is generally an email. -
SALESFORCE_PASSWORD
: your Salesforce password -
SALESFORCE_TOKEN
: your Salesforce token. To find this, follow the guide here
-
- Restart the Node application. It will upload a Contact and the devices as Assets to your Salesforce account
Branches and Release notes
New development
All new development must be done outside of the release workflow branches (staging
/beta
/master
). Small changes can be done directly in the development
branch, while feature work should be done in individual feature branches. Individual feature branches should be reviewed before they are merged back into the main development
branch.
Pull Requests are not to be merged into master
without first being confirmed by QA.
After your PR is reviewed, merge your PR into the staging
branch. Then cut a new build release into staging-build
.
Staging
(NOTE: You will have to run npm run build
& add the public folder by force git add public --force
)
Beta
The beta
branch represents the latest and greatest stable code available for public consumption, with the expectation that it may or may not be production-approved. When a staging
branch has been QA'd and no regressions/outstanding issues are found, then the staging
branch can be built directly into the beta
branch. After you've done that, tag beta
with the latest version number.
git tag -a v1.1 -m "write a note about what this version includes"
git push origin v1.1
Master
The master
branch is the latest production-approved code that is the standard for general use. This will be periodically updated from the beta
branch by stakeholder request, with all accompanying documentation. The update is performed by copying the beta
branch over to master
, as both are directly built branches.
Release notes
If you want to include release notes between each tagged version, you can get a list of commits using this command:
git log v1.0..v1.1
This will give you all the commits made between those 2 versions.
Tags are like branches, so you can also do that with any branch. For example if you want to see how many commits staging
is ahead of master
:
git log master..staging
System Requirements
-
Heroku & Heroku CLI
- heroku account with creditcard attached to account
-
Node >4
- http://nodejs.org (All Platforms)
-
brew install node
via Homebrew (OSX) -
apt-get/yum install node
(Linux)


Agnes' Follower:
Answer me this... Do you believe in the legend of the saint of light? Once I didn't believe... But when I first saw her, my eyes opened and I perceived things in a totally new way!
We're truly blessed to live with such a person in this world!
Quest


Home
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{% include head.html %}
{% include nav.html %} {% include header.html %} {% include flyers.html %} {% include visualists_grid.html %} {% include artists_grid.html %} {% include venue.html %} {% include tickets.html %} {% include footer.html %} {% include modals.html %} {% include js.html %}


Application Basics
Overview
It is easy to get a "Hello World" app up and running in Spark. But there are some basics to keep in mind when beginning to build more complex applications.
Please note: This page is still under construction.
Building Blocks
Basic Properties
Colors
HTML/CSS Named Colors
Read more: HTML Color Names
Available as of Spark v =<IP_ADDRESS>. Check for
(scene.capabilities.graphics.colors >= 2)
Spark now supports HTML/CSS colors syntax and naming conventions for setting colors.
This means that wherever you used
fillColor, textColor, lineColor
with a hexidecimal 0xRRGGBBAA
value in the past ...
var rect1 = scene.create({ t: 'rect', parent: root, fillColor: 0xFF0000ff, lineColor: 0x000000ff, lineWidth: 2, x: 0, y: 0, w: 100, h: 100, interactive: false });... now supports -
rect1.fillColor = 0xFF0000ff; // RED rect1.fillColor = "#f00"; // RED rect1.fillColor = "#ff0000"; // RED rect1.fillColor = "#f008"; // RED 50% alpha rect1.fillColor = "#ff000088"; // RED 50% alpha
The following is now supported ...
var rect2 = scene.create({ t: 'rect', parent: root, fillColor: '#0808', lineColor: '#000f', lineWidth: 1, x: scene.w/2, y: scene.h/2, w: 100, h: 100, px: 0.5, py: 0.5, interactive: false });... notice the
fillColor: '#0808'
  and the   lineColor: '#000f'
  are using the HTML/CSS style color notation.
But Wait... there's more !
You can also use the 147 defined HTML/CSS color names .Like this...
rect1.fillColor = "Red"; // 0xFF0000ff rect1.fillColor = "FireBrick "; // 0xB22222ff rect1.fillColor = "DarkRed " // 0x8B0000ff rect1.fillColor = "Maroon"; // 0x800000ff
There are 147 defined colors ... including rebeccapurple.
Whilst color RGB codes are neat, and HTML/CSS color syntax is tidy - actually seeing the color in your Spark code is better still.
VS Code has an abundance of Extensions that improve productivity, and for colors - Color Highlight is really useful !
Color Highlight will render the colors that it finds in your Javascript source - or anywhere else it finds colors.


This page is private! Please don't share your special link with anyone.
{{flux.errorMsg}}
Your details must be those that match the electoral roll for you to be a valid member. You can check your details
against the Electoral Roll at https://check.aec.gov.au.
Some things to check:
Make sure there are no typos in your name (we just copy and paste)
Make sure
only relevant middle names are included
Make sure you include your postcode, suburb, and street matching the AEC records
Make sure your date of birth is correct
Your details:
are valid!are invalid! Please fix below.are waiting for validation from a Flux staff member.
Notice: Due to a database upgrade, it looks like you need up update your profile.


General information about the ESP8266 port¶
ESP8266 is a popular WiFi-enabled System-on-Chip (SoC) by Espressif Systems.
Multitude of boards¶
There is a multitude of modules and boards from different sources which carry the ESP8266 chip. MicroPython tries to provide a generic port which would run on as many boards/modules as possible, but there may be limitations. Adafruit Feather HUZZAH board is taken as a reference board for the port (for example, testing is performed on it). If you have another board, please make sure you have a datasheet, schematics and other reference materials for your board handy to look up various aspects of your board functioning.
To make a generic ESP8266 port and support as many boards as possible, the following design and implementation decision were made:
GPIO pin numbering is based on ESP8266 chip numbering, not some “logical” numbering of a particular board. Please have the manual/pin diagram of your board at hand to find correspondence between your board pins and actual ESP8266 pins. We also encourage users of various boards to share this mapping via MicroPython forum, with the idea to collect community-maintained reference materials eventually.
All pins which make sense to support, are supported by MicroPython (for example, pins which are used to connect SPI flash are not exposed, as they’re unlikely useful for anything else, and operating on them will lead to board lock-up). However, any particular board may expose only subset of pins. Consult your board reference manual.
Some boards may lack external pins/internal connectivity to support ESP8266 deepsleep mode.
Technical specifications and SoC datasheets¶
The datasheets and other reference material for ESP8266 chip are available from the vendor site: http://bbs.espressif.com/viewtopic.php?f=67&t=225 . They are the primary reference for the chip technical specifications, capabilities, operating modes, internal functioning, etc.
For your convenience, some of technical specifications are provided below:
Architecture: Xtensa lx106
CPU frequency: 80MHz overclockable to 160MHz
Total RAM available: 96KB (part of it reserved for system)
BootROM: 64KB
Internal FlashROM: None
External FlashROM: code and data, via SPI Flash. Normal sizes 512KB-4MB.
GPIO: 16 + 1 (GPIOs are multiplexed with other functions, including external FlashROM, UART, deep sleep wake-up, etc.)
UART: One RX/TX UART (no hardware handshaking), one TX-only UART.
SPI: 2 SPI interfaces (one used for FlashROM).
I2C: No native external I2C (bitbang implementation available on any pins).
I2S: 1.
Programming: using BootROM bootloader from UART. Due to external FlashROM and always-available BootROM bootloader, ESP8266 is not brickable.
Scarcity of runtime resources¶
ESP8266 has very modest resources (first of all, RAM memory). So, please avoid allocating too big container objects (lists, dictionaries) and buffers. There is also no full-fledged OS to keep track of resources and automatically clean them up, so that’s the task of a user/user application: please be sure to close open files, sockets, etc. as soon as possible after use.
Boot process¶
On boot, MicroPython EPS8266 port executes _boot.py
script from internal
frozen modules. It mounts filesystem in FlashROM, or if it’s not available,
performs first-time setup of the module and creates the filesystem. This
part of the boot process is considered fixed, and not available for customization
for end users (even if you build from source, please refrain from changes to
it; customization of early boot process is available only to advanced users
and developers, who can diagnose themselves any issues arising from
modifying the standard process).
Once the filesystem is mounted, boot.py
is executed from it. The standard
version of this file is created during first-time module set up and has
commands to start a WebREPL daemon (disabled by default, configurable
with webrepl_setup
module), etc. This
file is customizable by end users (for example, you may want to set some
parameters or add other services which should be run on
a module start-up). But keep in mind that incorrect modifications to boot.py
may still lead to boot loops or lock ups, requiring to reflash a module
from scratch. (In particular, it’s recommended that you use either
webrepl_setup
module or manual editing to configure WebREPL, but not
both).
As a final step of boot procedure, main.py
is executed from filesystem,
if exists. This file is a hook to start up a user application each time
on boot (instead of going to REPL). For small test applications, you may
name them directly as main.py
, and upload to module, but instead it’s
recommended to keep your application(s) in separate files, and have just
the following in main.py
:
import my_app
my_app.main()
This will allow to keep the structure of your application clear, as well as allow to install multiple applications on a board, and switch among them.
Known Issues¶
Real-time clock¶
RTC in ESP8266 has very bad accuracy, drift may be seconds per minute. As
a workaround, to measure short enough intervals you can use
utime.time()
, etc. functions, and for wall clock time, synchronize from
the net using included ntptime.py
module.
Due to limitations of the ESP8266 chip the internal real-time clock (RTC)
will overflow every 7:45h. If a long-term working RTC time is required then
time()
or localtime()
must be called at least once within 7 hours.
MicroPython will then handle the overflow.
Sockets and WiFi buffers overflow¶
Socket instances remain active until they are explicitly closed. This has two
consequences. Firstly they occupy RAM, so an application which opens sockets
without closing them may eventually run out of memory. Secondly not properly
closed socket can cause the low-level part of the vendor WiFi stack to emit
Lmac
errors. This occurs if data comes in for a socket and is not
processed in a timely manner. This can overflow the WiFi stack input queue
and lead to a deadlock. The only recovery is by a hard reset.
The above may also happen after an application terminates and quits to the REPL for any reason including an exception. Subsequent arrival of data provokes the failure with the above error message repeatedly issued. So, sockets should be closed in any case, regardless whether an application terminates successfully or by an exception, for example using try/finally:
sock = socket(...)
try:
# Use sock
finally:
sock.close()
SSL/TLS limitations¶
ESP8266 uses axTLS library, which is one of the smallest TLS libraries with the compatible licensing. However, it also has some known issues/limitations:
No support for Diffie-Hellman (DH) key exchange and Elliptic-curve cryptography (ECC). This means it can’t work with sites which force the use of these features (it works ok with classic RSA certificates).
Half-duplex communication nature. axTLS uses a single buffer for both sending and receiving, which leads to considerable memory saving and works well with protocols like HTTP. But there may be problems with protocols which don’t follow classic request-response model.
Besides axTLS own limitations, the configuration used for MicroPython is highly optimized for code size, which leads to additional limitations (these may be lifted in the future):
Optimized RSA algorithms are not enabled, which may lead to slow SSL handshakes.
Stored sessions are not supported (may allow faster repeated connections to the same site in some circumstances).
Besides axTLS specific limitations described above, there’s another generic limitation with usage of TLS on the low-memory devices:
The TLS standard specifies the maximum length of the TLS record (unit of TLS communication, the entire record must be buffered before it can be processed) as 16KB. That’s almost half of the available ESP8266 memory, and inside a more or less advanced application would be hard to allocate due to memory fragmentation issues. As a compromise, a smaller buffer is used, with the idea that the most interesting usage for SSL would be accessing various REST APIs, which usually require much smaller messages. The buffers size is on the order of 5KB, and is adjusted from time to time, taking as a reference being able to access https://google.com . The smaller buffer hower means that some sites can’t be accessed using it, and it’s not possible to stream large amounts of data.
There are also some not implemented features specifically in MicroPython’s
ussl
module based on axTLS:
Certificates are not validated (this may make connections susceptible to man-in-the-middle attacks).
There is no support for client certificates (scheduled to be fixed in 1.9.4 release).


My Team
Manager
Kristen
<EMAIL_ADDRESS>555-555-555
Engineer
Test
<EMAIL_ADDRESS>Mayorgak
Intern
Intern
<EMAIL_ADDRESS>UCF


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Meanwhile, please turn off your camera in the current meeting


Gecode::Support::RunJobs< Jobs, RetType > Class Template Reference
Parallel iterator that runs jobs with a given number of threads. More...
#include <run-jobs.hpp>
Classes | |
| class | Deleter |
| A class to delete the master (running in parallel). More... | |
| class | Master |
| class | Worker |
| The actual worker using a thread to run a job. More... | |
Public Member Functions | |
| RunJobs (Jobs &j, unsigned int m) | |
| Initialize with job iterator j and maximal number of threads m. | |
| bool | run (RetType &r) |
| Run next job and return true if succesful and assign r to its result. | |
| bool | stopped (int &i, RetType &r) const |
| Whether a job has thrown a JobStop exception with index i and result r. | |
| ~RunJobs (void) | |
| Destructor. | |
Protected Attributes | |
| Master * | master |
| The actual master. |
Detailed Description
template<class Jobs, class RetType>
class Gecode::Support::RunJobs< Jobs, RetType >
Parallel iterator that runs jobs with a given number of threads.
It takes an iterator over jobs as input and acts as an iterator over the jobs' results. The order of iteration is not kept. The iterator runs several jobs as defined by the input iterator in parallel using a maximal number of threads.
The iterator can be stopped creating new jobs if one of the running jobs throws an exception of type JobStop. In that case the result of the stopped job is defined by the default constructor of the return type RetType. Already running jobs are not stopped and deliver their results as usual.
Definition at line 76 of file run-jobs.hpp.
Constructor & Destructor Documentation
| Gecode::Support::RunJobs< Jobs, RetType >::RunJobs | ( | Jobs & | j, | |
| unsigned int | m | |||
| ) | [inline] |
Initialize with job iterator j and maximal number of threads m.
Definition at line 347 of file run-jobs.hpp.
| Gecode::Support::RunJobs< Jobs, RetType >::~RunJobs | ( | void | ) | [inline] |
Destructor.
Definition at line 358 of file run-jobs.hpp.
Member Function Documentation
| bool Gecode::Support::RunJobs< Jobs, RetType >::run | ( | RetType & | r | ) | [inline] |
Run next job and return true if succesful and assign r to its result.
Definition at line 352 of file run-jobs.hpp.
| bool Gecode::Support::RunJobs< Jobs, RetType >::stopped | ( | int & | i, | |
| RetType & | r | |||
| ) | const [inline] |
Whether a job has thrown a JobStop exception with index i and result r.
Definition at line 340 of file run-jobs.hpp.
Member Data Documentation
Master* Gecode::Support::RunJobs< Jobs, RetType >::master [protected] |
The actual master.
Definition at line 148 of file run-jobs.hpp.
The documentation for this class was generated from the following file:
- gecode/support/run-jobs.hpp


Hashes vs Arrays
Sunday, October 5th, 2014
This week I chose to discuss the differences between arrays and hashes in ruby. Both arrays and hashes are very similar in that they both are used to store a "collection" or "series" of data. Thanks to ruby, they can both grow and shrink in size and can hold any type of data, integers, floats, strings, etc. The difference between an array and hash is how the data is accessed. For example, arrays use a linear integer to index the data for storing or recalling a piece of data, while hashes use a "hash." A hash can be a string, symbol, number or whatever the developer wants. A hash is different from an array in that instead of a linear lookup index like an array, a hash uses the aforementioned symbol, string or number to access the data with a constant time cost. The differences are best explained with examples, the following is an example for an array of pets.
Pets = ["cat", "dog", "fish"]
In order to recall a specific piece of data from pets one would call Pets[n] where n represents a number, in this case, ranging from 0 to 2. Pets[0] would return "cat." Now for hashes, they are defined differently and an example with pet's could be used below where the pet of an owner could accessed.
Pets = {
'John' => "cat",
'Jack' => "dog",
'Jane' => "fish",
}
If you wanted to access an owner's pet one could utilize the hash, in this case, 'John' used with the hash, Pets['John'] to recall the data, "cat." Contray to arrays, hashes are better used when the data being stored is not linear or ordered and when there are pairs of data, like in this example, a pet and it's owner.


Audio Playlist From Couchdb
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max volume
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Tying the knot October 23rd, 2016
Kindly respond by the 20th of August, 2016.
Don't forget to have your invite ready. Your secret code is inside.
On-Site Accommodation
Special Bed & Breakfast
We've been together for a while now and have everything we need.
If you were planning on giving a gift, you can help us into our first home instead!
K & M STANDEN: 38-9010-0497971-10


[gecode-users] iterating/filtering IntView
Kilian Sprotte
ml13 at onlinehome.de
Thu May 17 11:48:35 CEST 2007
Hi,
and thanks to everyone for your very helpful answers. I can see a way
now, how to do it efficiently. I must admit that in the meantime, I
had installed a workaround that is correct, too, but so inefficient
that I would never show you...
I will write some tests first and then... ;-)
I just wanted to add, why I am doing this...
Actually,
!my_predicate(x0.val(),i.val())
would look like
!(*callback)(x0.val(), i.val())),
so this is my first attempt to be able to write a very simple
propagator in Lisp.
Cheers,
Kilian
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mailing list


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connect_errno) { printf("Connect failed: %s\n", $mysqli->connect_error); exit(); } $query = "SELECT * FROM Users"; $result = $mysqli->query($query); $output = ""; $nameValue = "users"; while($row = $result->fetch_assoc()) { $output = "
".$row["user_id"]."
"; echo $output; } ?>
Submit


# -*- coding: utf-8 -*-
# chains.py - functions for finding chains in a graph
#
# Copyright 2004-2018 NetworkX developers.
#
# This file is part of NetworkX.
#
# NetworkX is distributed under a BSD license; see LICENSE.txt for more
# information.
"""Functions for finding chains in a graph."""
import networkx as nx
from networkx.utils import not_implemented_for
[docs]@not_implemented_for('directed')
@not_implemented_for('multigraph')
def chain_decomposition(G, root=None):
"""Return the chain decomposition of a graph.
The *chain decomposition* of a graph with respect a depth-first
search tree is a set of cycles or paths derived from the set of
fundamental cycles of the tree in the following manner. Consider
each fundamental cycle with respect to the given tree, represented
as a list of edges beginning with the nontree edge oriented away
from the root of the tree. For each fundamental cycle, if it
overlaps with any previous fundamental cycle, just take the initial
non-overlapping segment, which is a path instead of a cycle. Each
cycle or path is called a *chain*. For more information, see [1]_.
Parameters
----------
G : undirected graph
root : node (optional)
A node in the graph `G`. If specified, only the chain
decomposition for the connected component containing this node
will be returned. This node indicates the root of the depth-first
search tree.
Yields
------
chain : list
A list of edges representing a chain. There is no guarantee on
the orientation of the edges in each chain (for example, if a
chain includes the edge joining nodes 1 and 2, the chain may
include either (1, 2) or (2, 1)).
Raises
------
NodeNotFound
If `root` is not in the graph `G`.
Notes
-----
The worst-case running time of this implementation is linear in the
number of nodes and number of edges [1]_.
References
----------
.. [1] Jens M. Schmidt (2013). "A simple test on 2-vertex-
and 2-edge-connectivity." *Information Processing Letters*,
113, 241–244. Elsevier. <https://doi.org/10.1016/j.ipl.2013.01.016>
"""
def _dfs_cycle_forest(G, root=None):
"""Builds a directed graph composed of cycles from the given graph.
`G` is an undirected simple graph. `root` is a node in the graph
from which the depth-first search is started.
This function returns both the depth-first search cycle graph
(as a :class:`~networkx.DiGraph`) and the list of nodes in
depth-first preorder. The depth-first search cycle graph is a
directed graph whose edges are the edges of `G` oriented toward
the root if the edge is a tree edge and away from the root if
the edge is a non-tree edge. If `root` is not specified, this
performs a depth-first search on each connected component of `G`
and returns a directed forest instead.
If `root` is not in the graph, this raises :exc:`KeyError`.
"""
# Create a directed graph from the depth-first search tree with
# root node `root` in which tree edges are directed toward the
# root and nontree edges are directed away from the root. For
# each node with an incident nontree edge, this creates a
# directed cycle starting with the nontree edge and returning to
# that node.
#
# The `parent` node attribute stores the parent of each node in
# the DFS tree. The `nontree` edge attribute indicates whether
# the edge is a tree edge or a nontree edge.
#
# We also store the order of the nodes found in the depth-first
# search in the `nodes` list.
H = nx.DiGraph()
nodes = []
for u, v, d in nx.dfs_labeled_edges(G, source=root):
if d == 'forward':
# `dfs_labeled_edges()` yields (root, root, 'forward')
# if it is beginning the search on a new connected
# component.
if u == v:
H.add_node(v, parent=None)
nodes.append(v)
else:
H.add_node(v, parent=u)
H.add_edge(v, u, nontree=False)
nodes.append(v)
# `dfs_labeled_edges` considers nontree edges in both
# orientations, so we need to not add the edge if it its
# other orientation has been added.
elif d == 'nontree' and v not in H[u]:
H.add_edge(v, u, nontree=True)
else:
# Do nothing on 'reverse' edges; we only care about
# forward and nontree edges.
pass
return H, nodes
def _build_chain(G, u, v, visited):
"""Generate the chain starting from the given nontree edge.
`G` is a DFS cycle graph as constructed by
:func:`_dfs_cycle_graph`. The edge (`u`, `v`) is a nontree edge
that begins a chain. `visited` is a set representing the nodes
in `G` that have already been visited.
This function yields the edges in an initial segment of the
fundamental cycle of `G` starting with the nontree edge (`u`,
`v`) that includes all the edges up until the first node that
appears in `visited`. The tree edges are given by the 'parent'
node attribute. The `visited` set is updated to add each node in
an edge yielded by this function.
"""
while v not in visited:
yield u, v
visited.add(v)
u, v = v, G.nodes[v]['parent']
yield u, v
# Create a directed version of H that has the DFS edges directed
# toward the root and the nontree edges directed away from the root
# (in each connected component).
H, nodes = _dfs_cycle_forest(G, root)
# Visit the nodes again in DFS order. For each node, and for each
# nontree edge leaving that node, compute the fundamental cycle for
# that nontree edge starting with that edge. If the fundamental
# cycle overlaps with any visited nodes, just take the prefix of the
# cycle up to the point of visited nodes.
#
# We repeat this process for each connected component (implicitly,
# since `nodes` already has a list of the nodes grouped by connected
# component).
visited = set()
for u in nodes:
visited.add(u)
# For each nontree edge going out of node u...
edges = ((u, v) for u, v, d in H.out_edges(u, data='nontree') if d)
for u, v in edges:
# Create the cycle or cycle prefix starting with the
# nontree edge.
chain = list(_build_chain(H, u, v, visited))
yield chain


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Etihad Airways still has long way to go to become profitable: Group CEO
DUBAI (Reuters) - Abu Dhabi-based Etihad Airways still has a long way to go to become profitable, Group CEO Tony Douglas said on Monday.
“We are slightly ahead of where we plan to be. And if we stay focused will see a very strong Etihad,” Douglas told reporters.
Etihad suffered its third consecutive annual loss in 2018 despite cost savings of nearly half a billion dollars as it cut its workforce and fleet.
Etihad, which has trimmed its ambitions to be a major intercontinental airline, has made losses of $4.75 billion since 2016.
Douglas said a series of announcements are expected over the next two to three weeks about the new low-cost carrier it is setting up with Air Arabia (AIRA.DU).
“A whole schedule of announcements by the end of first quarter, second quarter,” he said.
He declined to be more specific or say which destinations the low-cost carrier will serve.
The new carrier, Air Arabia Abu Dhabi, will be the UAE’s fifth airline. Others include Emirates and Dubai discount carrier flydubai.


rotten > Library > Biographies > Crime > Serial Killers > Carl Panzram
Carl Panzram
Aliases: Jefferson Baldwin, Jeffrey Rhodes, John King, John O'Leary.
"In my lifetime I have murdered 21 human beings, I have committed thousands of burglaries, robberies, larcenies, arsons and last but not least I have committed sodomy on more than 100 male human beings. For all these things I am not in the least bit sorry."
"I sat down to think things over a bit. While I was sitting there, a little kid about eleven or twelve years old came bumming around. He was looking for something. He found it too. I took him out to a gravel pit about one quarter mile away. I left him there, but first committed sodomy on him and then killed him. His brains were coming out of his ears when I left him, and he will never be any deader."
Wrote a 20,000 word book/confession.
Timeline
| 28 Jun 1891 |
Carl Panzram born, Minnesota. |
| 1903 |
Sent to reform school at Minnesota State Training School, Red Wing, Minnesota. |
| 1911 |
With an Indian companion, attacks a man and robs him of $35. Later he says, "I figured that as I had such a good chance of that, I would commit a little sodomy on him... he is still there, unless the buzzards and coyotes have finished the last of him long ago."  I get a kick out of murdering people." |
| 9 Aug 1923 |
Sodomizes and kills a young boy, who was begging. Of all his murders, this is Panzram's favorite. The boy's body is discovered two days later, and is never identified. |
| 6 Oct 1928 |
Confesses to the murder of 9 August 1923: "If there is anything more that you want to know about this case that I can tell you, I will... I have killed a number of people in different places and some of the facts escape my memory." |
| 26 Aug 1923 |
Arrested as "John O'Leary" for breaking and entering the Larchmont Train Station. |
| Jul 1928 |
Discharged from Dannemora Prison. |
| 26 Jul 1928 |
Strangles Alexander Uszacke in Philadelphia. |
| 2 Sep 1928 |
Arrested. |
| 12 Nov 1928 |
Trial begins. Sentenced to 25 years. |
| 1 Feb 1929 |
Arrives at Leavenworth. |
| 26 Mar 1929 |
Written request: "I want that job because I am doing a long time and I am an old crank and I want to be by myself. I am a cripple and the job I have now I don't like, standing on my broken ankles bothers me. I am very truly, Carl Panzram #31614." |
| 20 Jun 1929 |
While in Leavenworth, Panzram kills Robert Warnke (who is not a prisoner, and is Panzram's supervisor), beating him to death with a large iron bar. After guards arrive, he returns calmly to his cell. |
| 14 Apr 1930 |
Trial begins for Warnke's murder. |
| 5 Sep 1930 |
Hanged at 6:30 am.  I could hang a dozen men while you're fooling around." |
Pornopolis |
Rotten |
Faces of Death |
Famous Nudes
|


{% extends "orga/cfp/base.html" %} {% load bootstrap4 %} {% load i18n %} {% block cfp_content %}
{% blocktranslate trimmed %} Here you can limit who will receive reminder emails. You will be able to review emails before they are sent out. {% endblocktranslate %}


| Methods' Summary |
| getValueByName |
Gets a value from the context.
|
| getServiceManager |
Gets the service manager instance to be used from key
/singletons/com.sun.star.lang.theServiceManager (maybe null ref).
This method has been added for convenience, because the
service manager is used very often.
|
| Methods' Details |
getValueByName
| any |
| getValueByName( |
[in] string |
Name ); |
- Description
- Gets a value from the context.
- Parameter Name
- name of value
- Returns
- value
|
|
getServiceManager
- Description
- Gets the service manager instance to be used from key
/singletons/com.sun.star.lang.theServiceManager (maybe null ref).
This method has been added for convenience, because the
service manager is used very often.
- Returns
- service manager, if any
|
|
Top of Page
Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


Debugging
You just wrote an awesome program, fired it up and ugh-o…it doesn’t work like you expect! Writing code is easy figuring out what’s wrong with broken code is really hard. You have a couple of options.
Print Statements
Yeah that’s right, the good old print statement. It’s the worst way to debug a problem but it sure is a technique and we’ve all been there so why not cover it. Doing this has so many problems but the main reason I feel is that you’re actually editing source-code for debugging and you’ll likely end up just leaving it there to flood the logs in production.
Do not do this.
println("condition = $condition")
if( condition ) {
println("Yep, condition sure is true")
}else{
println("No way, condition is false!")
}
Logger
Instead of print statements you should opt for using a Logger. It may seem the same but there are important differences.
- It provides a standard output which includes the origin class name where the output came from
- You an enable/disable a logger based on a log level
- You can change the format output of log, plain text, json, csv, etc
- You can change the destination, a file, a database, a queue, etc
- You can add meta information to a log file called a Mapped Diagnostic Context (MDC)
The logger world is full of specifications and implementations There are several logging frameworks available but here are the popular ones:
- Apache Commons Logging - Spring Framework Specification uses this specification.
- Logback - Logback is intended as a successor log4j
- Log4j - Apache Log4j
- SLF4J - Abstract Layer over many loggers, you use this with an implementation like Log4j or Logback.
Read: loggly.com: Java Logging Basics
Read: spring.io: Spring Boot Doc: How to Logging
Read: spring.io: Spring Boot Doc: Boot Logging Features
Logging Level
To change the logging level you need to set the associated property, either in application.properties, command line or some other way. The property has a special format:
logging.level.fully.qualified.package.name.OptionalClassname=LEVEL
Here are a couple of examples.
# Change every logger under the org.* package to DEBUG
logging.level.org=DEBUG
# Change only the loggers under the package com.jahnelgroup to DEBUG
logging.level.com.jahnelgroup=DEBUG
# Change only the UserController logger to DEBUG
logging.level.com.jahnelgroup.user.UserController=DEBUG
Using a Logger
Whatever implementation you choose you’ll likely get a reference to a logger through a factory. Unless otherwise required you should code against the SLF4J abstract layer.
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
class UserController(var userService: UserService) {
// companion is a Kotlin way of saying static
companion object {
// You want to use the class name as the name of the logger
val log: Logger = LoggerFactory.getLogger(UserController::class.java)
}
fun something(var req: Reqest) {
// this will only print if trace level logging is on
log.trace("Doing something with request $req")
// you are not required to wrap your logging statements in a condition like this
// but it will help the performance of your application under high load. By adding this
// condition you'll skip over the processing time needed to construct the String and pass
// it the logger. The logger will ultimately check this boolean again but it's good not
// spend time creating a String if it's just going to be ignore.
if(log.isDebugEnabled){
log.debug("The request is for user ${userService.findById(req.userId).username}")
}
}
}
Debugger
If bug a is too difficult to resolve with just logging statements then you’ll need to resort to using debugger. These tools will help you suspend the execution of your program and manually step through it just like it normally would while running in isolation.
Debugging in an IDE
Debugging in an IDE is very simple, instead of selecting to Run your application you choose Debug. Set some break-points and you’re done.
Read: jetbrains.com: IntelliJ: Debugging Your First Java Application
Read: vogella.com: Eclipse: Java Debugging
Watch: youtube.com: Debugging in IntelliJ IDEA 2016.1
Remote Attaching to a JVM
Connecting to an external JVM outside the IDE takes a little more work. A remote debugger works by connecting to a special port exposed by the JVM. It’s not available by default so you must enable it with JVM arguments when it starts.
Note that if your JVM is behind a firewall then that port must be open as well. You can get around a firewall with an SSH Tunnel if you have ssh access.
You can pick any available port, IntelliJ defaults with 5005. Take notice of the Listening for transport output as its an indication to you that it’s ready for remote debuggers.
$ java -agentlib:jdwp=transport=dt_socket,server=y,suspend=n,address=5005 -jar app.jar
Listening for transport dt_socket at address: 5005
Read: jetbrains.com: IntelliJ: Run/Debug Configuration: Remote Debug Read: medium.com: Eclipse: Remote Debugging for a Java
Difficulty with Spring Proxies
The hardest part about debugging a Spring Application are the Proxies. You’ll sometimes find yourself jumping through a lot of Spring code just trying to find where it calls your code. If you find this happening then try to make an educated guess as to where your code is being hit and set a lot of break points to find it. You may resort to enabling a debug or trace logging level to get more visibility on what’s happening.


Copyright Thomas Habets<EMAIL_ADDRESS>2015-2019
cmdg is a commandline client to GMail that provides a UI more similar to Pine/Alpine.
cmdg is open source with the code available on github. See that project page for installation and setup instructions.
It uses the GMail API to interact with your mailbox. This has several benefits.
Google OAuth consent screen requires a home page and privacy policy, so this is it.
Emails you send with cmdg are sent to your recipients via the GMail API, exactly what you'd expect.
In plain words: This is an email client you run on your own machine as an interface to the GMail API. It won't upload your emails anywhere for "processing" by any third party.
If cmdg fails to send an email for you (for example due to a network outage), it give you the option to save the draft to your local hard drive.
Settings, such as your email signature, is saved in Google Drive for you in your account, and nobody else is given access to such settings.
cmdg never stores any data outside of your Google account (and doesn't grant access to anyone else), and only sends data anywhere, and then only to the recipient, when you choose to send an email.
The only thing stored locally is the OAuth access tokens, just like how Chrome has access tokens to browse to mail.google.com.
No ads, no sharing to third parties or to cmdg authors. Your data is only used and processed as required to read and write emails.
This privacy policy will not substantially change, but if in order to provide a better email client by e.g. using more APIs cmdg processes more user data, it will be added to this page.
For any questions email thomas@habets.se.


--- title: "COVID-19 infection rate is higher among youths" author: "Yifan Xu" date: 2020.09.25 categories: ["R"] tags: ["R Markdown", "plot", "regression"] ---
Author: Yifan Xu
Date: 2020.09.25
The current new coronavirus has swept the world for more than half a year, and there is still an increase of more than 1,000 cases in Canada everyday. In this paper, we explored the dataset about COVID-19 Cases in Toronto, which is a non-probability survey published by Toronto Public Health. We found that young people have a higher infection rate of COVID-19, and we also found the main source of infection is close contact. This could remind people to keep the social distance and wear masks at all times, in order to reduce the chance of infection especially at the current stage of returning to work and school.
It has been half a year since the first case of new coronavirus infection was reported on January 27 in Canada. There is still a daily increase of more than 1,000 confirmed cases, and Ontario also has a large daily increase. Against the situation, we wanted to explore the susceptible age group and the common infection source. We found that close contact is a major way of virus transmission, followed by community contact. Besides, compared with middle-aged and elderly people, COVID-19 infections mostly occur in teenagers and young adults.
We used the data set published by Toronto Public Health, which collects information on COVID-19 cases in Toronto. We are interested in two variables: the source of infection and age of infected people. The main method is plotting figures to determine common sources of infection as well as grouping ages to identify the susceptible population. (we used @R and @Rmarkdown)
Below we will briefly introduce the variables of the data but focus on two variables we care about, then conduct the analysis to get conclusions. In the future, we hope to collect data from other parts of Canada and analyze again, so that we could test whether our conclusions are applicable or biased.
The COVID-19 Cases in Toronto Data set counts the information on all 17,872 confirmed and probable cases in Toronto, including their demographic (eg: gender), geographic (eg: neighborhood name) and severity information (eg: currently hospitalized or not). Table in appendix shows the data of first six confirmed persons.
Among 16 variables, we care about the threat of COVID-19 to people of different ages and how they are infected. Therefore we focus on ‘Age Group’ and ‘Source of Infection’.
Figure1 (showing in appendix below) shows the age distribution of the infected cases. The youngest infected are 19 years or younger, and the oldest infected are older than 90. We also find that the most infected persons are between 20 and 29 years old and the least are between 70 and 80 years old. (we used @tidyverse)
We could clearly identify the distribution is right-skewed, which means that the number of people infected with COVID-19 will decrease with age, with young people at the highest infection rate.
To be more concise, we combine the age groups as: 19 and younger (Adolescents), 20-49 years old (Youths), 50-69 years old (Middle-aged) and over 70 years old (Elders), then recalculate the number of infections in each age group.
The pie chart in Figure2 (showing in appendix below) shows that youths account for nearly half of the infected cases, which is much higher than teenagers and elders. (we used @tidyverse)
Similarly, we also want to explore the source of infection. Figure 3 (showing in appendix below) indicates that most people were infected during the outbreak or due to close contact. (we used @tidyverse)
In Figure 4 (showing in appendix below) , we can intuitively see that apart from the infection during the outbreak, close contact and community contact are two main routes of virus transmission. (we used @tidyverse)
We found that the age of people infected with COVID-19 in Toronto is mostly between 20 and 29. It is suggested that youths are more likely to be infected compared with middle-aged and elderly people. We also know that COVID-19 is easily transmitted through close contact and community contact among people.
However, the limitations of the data set was twofold: 1) the data is extracted every Monday and released every Wednesday, which is not real-time, resulting in a deviation of the confirmed cases in a week, and 2) the age of a few confirmed cases or the source of infection is unknown, therefore those missing values will affect the accuracy of results.
The weaknesses is that we draw the conclusion only based on the data from Toronto area, so there may be some regional biases. In the next step, we hope to explore the data set from other regions in Canada even around the world, and analyze again to ensure the conclusions are general enough.
#code
library(opendatatoronto)
library(tidyverse)
## ── Attaching packages ───────────────────────────── tidyverse 1.3.0 ──
## ✓ ggplot2 3.3.2 ✓ purrr 0.3.4
## ✓ tibble 3.0.3 ✓ dplyr 1.0.2
## ✓ tidyr 1.1.2 ✓ stringr 1.4.0
## ✓ readr 1.3.1 ✓ forcats 0.5.0
## ── Conflicts ──────────────────────────────── tidyverse_conflicts() ──
## x dplyr::filter() masks stats::filter()
## x dplyr::lag() masks stats::lag()
package1 <- show_package('64b54586-6180-4485-83eb-81e8fae3b8fe')
resources1 <- list_package_resources(("64b54586-6180-4485-83eb-81e8fae3b8fe"))
datastore_resources1 <- filter(resources1, tolower(format) %in% c('csv', 'geojson'))
data <- filter(datastore_resources1, row_number()==1) %>% get_resource()
head(data)
## # A tibble: 6 x 18
## `_id` Assigned_ID `Outbreak Assoc… `Age Group` `Neighbourhood … FSA
## <int> <int> <chr> <chr> <chr> <chr>
## 1 143647 1 Sporadic 50 to 59 Y… Willowdale East M2N
## 2 143648 2 Sporadic 50 to 59 Y… Willowdale East M2N
## 3 143649 3 Sporadic 20 to 29 Y… Parkwoods-Donal… M3A
## 4 143650 4 Sporadic 60 to 69 Y… Church-Yonge Co… M4W
## 5 143651 5 Sporadic 60 to 69 Y… Church-Yonge Co… M4W
## 6 143652 6 Sporadic 50 to 59 Y… Newtonbrook West M2R
## # … with 12 more variables: `Source of Infection` <chr>, Classification <chr>,
## # `Episode Date` <chr>, `Reported Date` <chr>, `Client Gender` <chr>,
## # Outcome <chr>, `Currently Hospitalized` <chr>, `Currently in ICU` <chr>,
## # `Currently Intubated` <chr>, `Ever Hospitalized` <chr>, `Ever in
## # ICU` <chr>, `Ever Intubated` <chr>
get_age_group <- table(data$`Age Group`)
age <- c("19 and younger","20 to 29 Years","30 to 39 Years","40 to 49 Years","50 to 59 Years","60 to 69 Years","70 to 79 Years"," 80 to 89 Years","90 and older")
number <- c(1311,3049,2724,2416,2720,1813,1133,1557,1116)
dataframe_age <- data.frame( Age = age, number = number)
barplotage <- ggplot(dataframe_age, aes(x= Age, y = number)) + geom_bar(stat="identity",position=position_dodge(0.4),width=0.3,fill ="light blue") + theme_bw() + scale_x_discrete(label=abbreviate) + labs(x = "Age Group (3t3Y: 30 to 39 years etc.,)",
y = "Number of infected people",
title = "Figure1: Age Distribution of COVID-19 Infection Cases in Toronto",
caption = "Source: Toronto Public Health, 2020.") + geom_text(aes(label=number), vjust=-0.2, size=3)
barplotage
age3 <- c("Adolescents","Youths ","Middle-aged","Elders")
number3 <- c(1311,3049+2724+2416,2720+1813,1133+1557+1116)
dataframe_age3 <- data.frame( Age = age3, number = number3)
bingage3 <- ggplot(dataframe_age3, aes(x = "", y = number, fill = Age)) + geom_bar(stat = "identity", width = 0.5) + coord_polar(theta = "y") + labs(title = "Figure2: Age Group Distribution of COVID-19 Infection Cases in Toronto", caption = "Source: Toronto Public Health, 2020." )
bingage3
#2
get_way_group <- table(data$`Source of Infection`)
source <- c('Close contact', ' Community','Healthcare', 'Institutional', 'Outbreak associated', 'Pending', 'Travel', 'Unknown/Missing')
number2 <- c(6419, 2471, 1142, 344, 5974, 70, 830, 622)
dataframe_source<- data.frame('Source of Infection'= source, Number = number2)
dataframe_source<- data.frame(Source = c('Close contact', 'Community','Healthcare', 'Institutional', 'Outbreak associated', 'Pending', 'Travel', 'Unknown/Missing'), Number = c(6419, 2471, 1142, 344, 5974, 70, 830, 622))
barplotsou <-ggplot(dataframe_source, aes(x=Source,y=Number)) + geom_bar(stat='identity',position=position_dodge(0.4),width=0.3,fill ="light blue") + theme_bw() + labs(x = "Source",
y = "Number of infected people",
title = "Figure3: The Distribution of COVID-19 Infection Sources in Toronto",
caption = "Source: Toronto Public Health, 2020.") + geom_text(aes(label=Number), vjust=-0.2, size=3)
barplotsou
bingsource <- ggplot(dataframe_source, aes(x = "", y = Number, fill = Source)) + geom_bar(stat = "identity", width = 0.5) + coord_polar(theta = "y") + labs(title = "Figure4: Pie Chart of COVID-19 Infection Sources in Toronto", caption = "Source: Toronto Public Health, 2020.")
bingsource
Toronto Public Health. Sept 23, 2020. About COVID-19 Cases in Toronto. https://open.toronto.ca/dataset/covid-19-cases-in-toronto/
Sharla Gelfand (2020). opendatatoronto: Access the City of Toronto Open Data Portal. R package version 0.1.3. https://CRAN.R-project.org/package=opendatatoronto
Wickham et al., (2019). Welcome to the tidyverse. Journal of Open Source Software, 4(43), 1686, https://doi.org/10.21105/joss.01686
H. Wickham. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York, 2016.
Elin Waring, Michael Quinn, Amelia McNamara, Eduardo Arino de la Rubia, Hao Zhu and Shannon Ellis (2020).
R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.
JJ Allaire and Yihui Xie and Jonathan McPherson and Javier Luraschi and Kevin Ushey and Aron Atkins and Hadley Wickham and Joe Cheng and Winston Chang and Richard Iannone (2020). rmarkdown: Dynamic Documents for R. R package version 2.3. URL https://rmarkdown.rstudio.com.


Jiajia Li is an Assistant Professor in Department of Computer Science at North Carolina State University (NCSU), Raleigh, NC. Her research emphasizes on high performance computing with a focus on the interaction among applications, numerical methods, data structures, algorithms, automatic performance tuning, and computer architectures. She is eager to pursue high performance sparse (multi-)linear algebra, solvers, and tensor decompositions for large-scale data analytics and domain applications on diverse computer architectures.
Jiajia Li was an Assistant Professor in Department of Computer Science at the College of William & Mary (W&M), Williamsburg, VA and a Research Scientist at High Performance Computing group of Pacific Northwest National Laboratory (PNNL), Richland, WA from 2018-2022. She has received her Ph.D. degree (Aug. 2018) in Computational Science & Engineering at Georgia Institute of Technology, advised by Professor Richard Vuduc. She has received Rising Stars in Computational and Data Sciences, Best Student Paper Award, and IBM PhD Fellowship. Before, she was a research intern of IBM Thomas J. Watson Research Center and Intel Parallel Computing Lab in the summers of 2016 and 2015 respectively. In the past, she has received a Ph.D. degree (Jul. 2013) from Institute of Computing Technology at Chinese Academy of Sciences. She received her B.S. (Jul. 2008) in Computational Mathematics from Dalian University of Technology in the Accelerated Student Program (2/180).
Please feel free to drop me an email<EMAIL_ADDRESS>if you have questions about CS PhD program, research collaboration, research/career/international life suggestions, etc.
For more information, please click here for the Curriculum Vitae
.


An Application That Uses the JMS API with an Entity
This section explains how to write, compile, package, deploy, and run an application that uses the JMS API with an entity. The application uses the following components:
An application client that both sends and receives messages
Two message-driven beans
An entity class
You will find the source files for this section in the tut-install/examples/jms/clientmdbentity/ directory. Path names in this section are relative to this directory.
Overview of the clientmdbentity Example Application
This application simulates, in a simplified way, the work flow of a company’s human resources (HR) department when it processes a new hire. This application also demonstrates how to use the Java EE platform to accomplish a task that many JMS applications need to perform.
A JMS client must often wait for several messages from various sources. It then uses the information in all these messages to assemble a message that it then sends to another destination. The common term for this process is joining messages. Such a task must be transactional, with all the receives and the send as a single transaction. If not all the messages are received successfully, the transaction can be rolled back. For an application client example that illustrates this task, see A Local Transaction Example.
A message-driven bean can process only one message at a time in a transaction. To provide the ability to join messages, an application can have the message-driven bean store the interim information in an entity. The entity can then determine whether all the information has been received; when it has, the entity can report this back to one of the message-driven beans, which then creates and sends the message to the other destination. After it has completed its task, the entity can be removed.
The basic steps of the application are as follows.
The HR department’s application client generates an employee ID for each new hire and then publishes a message (M1) containing the new hire’s name, employee ID, and position. The client then creates a temporary queue, ReplyQueue, with a message listener that waits for a reply to the message. (See Creating Temporary Destinations for more information.)
Two message-driven beans process each message: One bean, OfficeMDB, assigns the new hire’s office number, and the other bean, EquipmentMDB, assigns the new hire’s equipment. The first bean to process the message creates and persists an entity named SetupOffice, then calls a business method of the entity to store the information it has generated. The second bean locates the existing entity and calls another business method to add its information.
When both the office and the equipment have been assigned, the entity business method returns a value of true to the message-driven bean that called the method. The message-driven bean then sends to the reply queue a message (M2) describing the assignments. Then it removes the entity. The application client’s message listener retrieves the information.
Figure 48-4 illustrates the structure of this application. Of course, an actual HR application would have more components; other beans could set up payroll and benefits records, schedule orientation, and so on.
Figure 48-4 assumes that OfficeMDB is the first message-driven bean to consume the message from the client. OfficeMDB then creates and persists the SetupOffice entity and stores the office information. EquipmentMDB then finds the entity, stores the equipment information, and learns that the entity has completed its work. EquipmentMDB then sends the message to the reply queue and removes the entity.
Writing the Application Components for the clientmdbentity Example
Writing the components of the application involves coding the application client, the message-driven beans, and the entity class.
Coding the Application Client: HumanResourceClient.java
The application client, clientmdbentity-app-client/src/java/HumanResourceClient.java, performs the following steps:
Injects ConnectionFactory and Topic resources
Creates a TemporaryQueue to receive notification of processing that occurs, based on new-hire events it has published
Creates a MessageConsumer for the TemporaryQueue, sets the MessageConsumer’s message listener, and starts the connection
Creates a MessageProducer and a MapMessage
Creates five new employees with randomly generated names, positions, and ID numbers (in sequence) and publishes five messages containing this information
The message listener, HRListener, waits for messages that contain the assigned office and equipment for each employee. When a message arrives, the message listener displays the information received and determines whether all five messages have arrived. When they have, the message listener notifies the main method, which then exits.
Coding the Message-Driven Beans for the clientmdbentity Example
This example uses two message-driven beans:
clientmdbentity-ejb/src/java/eb/EquipmentMDB.java
clientmdbentity-ejb/src/java/eb/OfficeMDB.java
The beans take the following steps:
They inject MessageDrivenContext and ConnectionFactory resources.
The onMessage method retrieves the information in the message. The EquipmentMDB’s onMessage method chooses equipment, based on the new hire’s position; the OfficeMDB’s onMessage method randomly generates an office number.
After a slight delay to simulate real world processing hitches, the onMessage method calls a helper method, compose.
The compose method takes the following steps:
It either creates and persists the SetupOffice entity or finds it by primary key.
It uses the entity to store the equipment or the office information in the database, calling either the doEquipmentList or the doOfficeNumber business method.
If the business method returns true, meaning that all of the information has been stored, it creates a connection and a session, retrieves the reply destination information from the message, creates a MessageProducer, and sends a reply message that contains the information stored in the entity.
It removes the entity.
Coding the Entity Class for the clientmdbentity Example
The SetupOffice class, clientmdbentity-ejb/src/java/eb/SetupOffice.java, is an entity class. The entity and the message-driven beans are packaged together in an EJB JAR file. The entity class is declared as follows:
@Entity public class SetupOffice implements Serializable {
The class contains a no-argument constructor and a constructor that takes two arguments, the employee ID and name. It also contains getter and setter methods for the employee ID, name, office number, and equipment list. The getter method for the employee ID has the @Id annotation to indicate that this field is the primary key:
@Id public String getEmployeeId() { return id; }
The class also implements the two business methods, doEquipmentList and doOfficeNumber, and their helper method, checkIfSetupComplete.
The message-driven beans call the business methods and the getter methods.
The persistence.xml file for the entity specifies the most basic settings:
<?xml version="1.0" encoding="UTF-8"?> <persistence version="2.0" xmlns="http://java.sun.com/xml/ns/persistence" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://java.sun.com/xml/ns/persistence http://java.sun.com/xml/ns/persistence/persistence_2_0.xsd"> <persistence-unit name="clientmdbentity-ejbPU" transaction-type="JTA"> <provider>org.eclipse.persistence.jpa.PersistenceProvider</provider> <jta-data-source>jdbc/__default</jta-data-source> <class>eb.SetupOffice</class> <properties> <property name="eclipselink.ddl-generation" value="drop-and-create-tables"/> </properties> </persistence-unit> </persistence>
Creating Resources for the clientmdbentity Example
This example uses the connection factory jms/ConnectionFactory and the topic jms/Topic, both of which you used in An Application That Uses the JMS API with a Session Bean. It also uses the JDBC resource named jdbc/__default, which is enabled by default when you start the GlassFish Server.
If you deleted the connection factory or topic, they will be created when you deploy the example.
To Build, Package, Deploy, and Run the clientmdbentity Example Using NetBeans IDE
- From the File menu, choose Open Project.
- In the Open Project dialog, navigate to:
tut-install/examples/jms/
- Select the clientmdbentity folder.
- Select the Open as Main Project check box and the Open Required Projects check box.
- Click Open Project.
- In the Projects tab, right-click the clientmdbentity project and select Build.
This task creates the following:
An application client JAR file that contains the client class and listener class files, along with a manifest file that specifies the main class
An EJB JAR file that contains the message-driven beans and the entity class, along with the persistence.xml file
An application EAR file that contains the two JAR files along with an application.xml file
- If the Java DB database is not already running, follow these steps:
- Click the Services tab.
- Expand the Databases node.
- Right-click the Java DB node and select Start Server.
- In the Projects tab, right-click the project and select Run.
This command creates any needed resources, deploys the project, returns a client JAR file named clientmdbentityClient.jar, and then executes it.
The output of the application client in the Output pane looks something like this:
PUBLISHER: Setting hire ID to 50, name Bill Tudor, position Programmer PUBLISHER: Setting hire ID to 51, name Carol Jones, position Senior Programmer PUBLISHER: Setting hire ID to 52, name Mark Wilson, position Manager PUBLISHER: Setting hire ID to 53, name Polly Wren, position Senior Programmer PUBLISHER: Setting hire ID to 54, name Joe Lawrence, position Director Waiting for 5 message(s) New hire event processed: Employee ID: 52 Name: Mark Wilson Equipment: PDA Office number: 294 Waiting for 4 message(s) New hire event processed: Employee ID: 53 Name: Polly Wren Equipment: Laptop Office number: 186 Waiting for 3 message(s) New hire event processed: Employee ID: 54 Name: Joe Lawrence Equipment: Java Phone Office number: 135 Waiting for 2 message(s) New hire event processed: Employee ID: 50 Name: Bill Tudor Equipment: Desktop System Office number: 200 Waiting for 1 message(s) New hire event processed: Employee ID: 51 Name: Carol Jones Equipment: Laptop Office number: 262
The output from the message-driven beans and the entity class appears in the server log, wrapped in logging information.
For each employee, the application first creates the entity and then finds it. You may see runtime errors in the server log, and transaction rollbacks may occur. The errors occur if both of the message-driven beans discover at the same time that the entity does not yet exist, so they both try to create it. The first attempt succeeds, but the second fails because the bean already exists. After the rollback, the second message-driven bean tries again and succeeds in finding the entity. Container-managed transactions allow the application to run correctly, in spite of these errors, with no special programming.
You can run the application client repeatedly.
To Build, Package, Deploy, and Run the clientmdbentity Example Using Ant
- Go to the following directory:
tut-install/examples/jms/clientmdbentity/
- To compile the source files and package the application, use the following command:
ant
The ant command creates the following:
An application client JAR file that contains the client class and listener class files, along with a manifest file that specifies the main class
An EJB JAR file that contains the message-driven beans and the entity class, along with the persistence.xml file
An application EAR file that contains the two JAR files along with an application.xml file
- To create any needed resources, deploy the application, and run the client, use
the following command:
ant run
This command starts the database server if it is not already running, then deploys and runs the application.
Ignore the message that states that the application is deployed at a URL.
The output in the terminal window looks something like this (preceded by application client container output):
running application client container. PUBLISHER: Setting hire ID to 50, name Bill Tudor, position Programmer PUBLISHER: Setting hire ID to 51, name Carol Jones, position Senior Programmer PUBLISHER: Setting hire ID to 52, name Mark Wilson, position Manager PUBLISHER: Setting hire ID to 53, name Polly Wren, position Senior Programmer PUBLISHER: Setting hire ID to 54, name Joe Lawrence, position Director Waiting for 5 message(s) New hire event processed: Employee ID: 52 Name: Mark Wilson Equipment: PDA Office number: 294 Waiting for 4 message(s) New hire event processed: Employee ID: 53 Name: Polly Wren Equipment: Laptop Office number: 186 Waiting for 3 message(s) New hire event processed: Employee ID: 54 Name: Joe Lawrence Equipment: Java Phone Office number: 135 Waiting for 2 message(s) New hire event processed: Employee ID: 50 Name: Bill Tudor Equipment: Desktop System Office number: 200 Waiting for 1 message(s) New hire event processed: Employee ID: 51 Name: Carol Jones Equipment: Laptop Office number: 262
The output from the message-driven beans and the entity class appears in the server log, wrapped in logging information.
For each employee, the application first creates the entity and then finds it. You may see runtime errors in the server log, and transaction rollbacks may occur. The errors occur if both of the message-driven beans discover at the same time that the entity does not yet exist, so they both try to create it. The first attempt succeeds, but the second fails because the bean already exists. After the rollback, the second message-driven bean tries again and succeeds in finding the entity. Container-managed transactions allow the application to run correctly, in spite of these errors, with no special programming.
You can run the application client repeatedly.


31 TV reboots, remakes, and spin-offs that are in the works
by Kirsten Acuna, Libby Torres- Plenty of iconic TV shows are set to be remade or rebooted in the coming months and years.
- From classics like “Northern Exposure” to newer shows like “Gossip Girl,” the next few years will see lots of new versions of iconic series.
- Films like “Clueless” and “Dune” are also getting rebooted or remade into TV shows.
- Visit Insider’s homepage for more stories.
If a bunch of the new shows coming to TV this year sound familiar, there’s a reason why. You’ve seen them before in some way, shape, or form.
From beloved family comedies and cartoons to the revival of ’90s reality series, more than 30 shows are getting new lives on cable networks and streaming services.
Keep reading to see all of the reboots, revivals, and spin-offs you can expect to see make a comeback in the next few years.
“Animaniacs” (Hulu)
Premiere date: 2020
Reboot of: “Animaniacs” cartoon that aired for five seasons in the ’90s on WB.
What it’s about: The cartoon will, once again, follow the misadventures of the Warner siblings, Yakko, Wakko, and Dot, who live on the Warner Bros.’ lot. Steven Spielberg will return as executive producer.
“Frasier”
Premiere date: There are currently only talks about bringing the show back.
Revival of: “Frasier,” which aired on NBC for 11 seasons.
What it’s about: Kelsey Grammer told the Press Association in August 2018 he has discussed the idea of bringing his character back to television, but he’s not sure he wants to do it.
“Sister, Sister”
Premiere date: In talks.
Reboot of: “Sister, Sister,” which aired for six seasons across ABC and The CW.
What it’s about: Twins, who grew up apart, start spending time together after a chance run-in. Jackée Harry, who starred as the mom on the original show told Steve Harvey in January a reboot was happening.
“Alf”
Premiere date: In early stages with Warner Bros. TV.
Reboot of: The ’80s show “Alf,” which starred an extraterrestrial who lived with a middle-class family on Earth.
What it’s about: It’s not clear whether or not a new series would follow the same alien or a different one. According to TVLine, Warner Bros. is searching for a writer for the reboot.
“Designing Women” (ABC)
Premiere date: TBD; currently in early stages of development.
Reboot of: ’90s sitcom “Designing Women”
What it’s about: The original show followed four women working at a design firm in Atlanta, Georgia. Original creator Linda Bloodworth-Thomason will be working on the show, according to Deadline.
“Lizzie McGuire” (Disney Plus)
Premiere date: TBD (likely sometime in 2020, since filming hasn’t started)
Reboot of: Disney Channel’s series, “Lizzie McGuire.”
What it’s about: Hilary Duff is set to reprise her role as the lead star, but the character will be 30 years old and living in New York City. There aren’t too many details yet, but Duff recently said that Lizzie will be an apprentice for an interior designer and engaged to a chef.
“Bewitched” (ABC)
Premiere date: TBD
Reboot of: ABC sitcom “Bewitched,” which aired on ABC from 1964 to 1972 starring Elizabeth Montgomery as a witch, Samantha.
What it’s about: The new take on the classic would feature an interracial family with a young, black single mom who is also a witch who marries a mortal. The show is from “Black-ish” creator Kenya Barris and writer/producer Yamara Taylor.
“Star Wars: The Clone Wars” (Disney Plus)
Premiere date: TBD
Revival of: “Star Wars: The Clone Wars”
What it’s about: Disney surprised fans at San Diego Comic-Con in July when it announced 12 new episodes of the beloved animated series will be released on the company’s upcoming streaming service, Disney Plus. The show was canceled in 2013 after Disney purchased Lucasfilm the year prior.
You can watch the announcement trailer here.
“Party of Five” (Freeform)
Premiere date: TBD
Reboot of: “Party of Five,” which aired on Fox for six seasons.
What it’s about: According to Freeform, the show will be a “modern reimagining” of the original show which starred Matthew Fox, Neve Campbell, and Lacey Chabert.
“Conan the Barbarian” (Amazon)
Premiere date: TBD
Reboot of: “Conan the Barbarian,” the movie with Arnold Schwarzenegger
What it’s about: The show will focus on the books, which follow Conan as he travels the world searching for his place within it. “Colony” co-creator Ryan Condal and “Game of Thrones” director Miguel Sapochnik are working on it.
“The Jetsons” (ABC)
Premiere date: TBD
Spin-off of: The animated “Jetsons” cartoon series.
What it’s about: The series will be a live-action version of the classic animated sci-fi series set in the future and will be filmed in front of a live audience. It will be executive produced by Robert Zemeckis (“Back to the Future”).
“Daria and Jodie” (MTV)
Premiere date: TBD
Reboot of: MTV’s ’90s show “Daria,” which ran for five seasons.
What it’s about: The show will revolve around the “Beavis and Butt-Head” character, Daria Morgendorrfer and her friend Jodie Landon “taking on the world today.” It may not air on MTV.
“Rugrats” (Nickelodeon)
Premiere date: TBD
Reboot of: Nickeoldeon’s hit ’90s animated series, “Rugrats.”
What it’s about: In July, Paramount announced the popular Nickelodeon cartoon series featuring Tommy Pickles and Angelica will get a 26-episode reboot. A movie is also planned for 2020.
“Supermarket Sweep”
Premiere date: TBD
Reboot of: Game show “Supermarket Sweep.”
What it’s about: The game show has pairs compete to run around a supermarket on a timed scavenger hunt to find particular grocery items to win a grand prize. It was first announced in October 2017, and Leslie Jones of “Saturday Night Live” was recently revealed to be the host.
“The Many Saints of Newark”
Premiere date: TBD
Spin-off of: “The Sopranos”
What it’s about: The movie will be a prequel to the HBO series set during the Newark riots that took place in the ’60s.
“The Babysitter’s Club” (Netflix)
Premiere date: TBD
Revival of: “The Babysitter’s Club” (a TV show-turned movie, based off the books by Ann M. Martin)
What it’s about: The series will be based on the books, which follow five adolescent girls as they start their own babysitting business and grapple with issues facing modern teens.
“Penny Dreadful: City of Angels” (Showtime)
Premiere date: TBD
Reboot of: “Penny Dreadful”
What it’s about: The reboot moves the action of the previous series (which was canceled after three seasons) from Victorian London to 1930s Los Angeles, hence the title. According to TV Guide, the setting of the reboot is “steeped in Mexican-American folklore and social tension” and will focus on a cast of characters – some of whom are connected to powerful deities like Santa Muerte or the devil.
“High Fidelity” (Hulu)
Premiere date: TBD
Remake of: “High Fidelity” (1995)
What it’s about: The film will be made into a TV series for Hulu, and will feature Zoë Kravitz as a record store owner who’s obsessed with pop culture and music. Kravitz’s mom Lisa Bonet starred in the original, which featured John Cusack as the record store owner.
“Amazing Stories” (Apple Plus)
Premiere date: TBD
Reboot of: “Amazing Stories” (1985-1987)
What it’s about: Much like the original, the reboot will feature horror, fantasy, and sci-fi tales directed by some of Hollywood’s biggest directors.
“Nash Bridges” (USA)
Premiere date: TBD
Revival of: “Nash Bridges” (1996 – 2001)
What it’s about: The original show focused on an inspector, Nash Bridges, who worked in the San Francisco police department’s special investigations unit, along with his partner, Joe Dominguez. Even though the revival still seems to be a ways off, it’s likely to contain similar themes.
“Northern Exposure” (CBS)
Premiere date: TBD
Revival of: “Northern Exposure” (1990-1995)
What it’s about: The revival is a continuation of the original show, and would see Dr. Joshua Fleischman, the protagonist of “Northern Exposure,” returning to Alaska for a funeral.
“Gossip Girl” (HBO Max)
Premiere date: TBD (likely spring 2020, when HBO Max officially launches)
Reboot of: “Gossip Girl” (2007-2012)
What it’s about: The reboot will pick up eight years after the events of the original series, and will follow a “new generation of New York private school teens” as they “are introduced to the social surveillance of Gossip Girl,” according to the official summary for the series. Expect plenty of commentary about the affects of social media on teen life.
“Grease: Rydell High” (HBO Max)
Premiere date: TBD (likely spring 2020, when HBO Max officially launches)
Reboot of: “Grease” (1978)
What’s it about: Per Entertainment Weekly, the “Grease” reboot show “reimagines the global smash hit movie with some characters you already know, and a whole lot more you will soon meet,” and is “set in and around the world of Rydell High,” the setting for most of the original 1978 film. The show will focus on “the peer pressures of high school” and “the horrors of puberty,” and will still be set in the 1950s.
“Dune: The Sisterhood” (HBO Max)
Premiere date: TBD (likely spring 2020, when HBO Max officially launches)
Sequel to: “Dune” (1984) and the upcoming 2020 film
What it’s about: With a remake of the 1984 film (based on Frank Herbert’s 1965 novel) coming out next year, HBO Max’s new series “is designed to co-exist” with the upcoming film, according to Deadline. But where the new film will portray the efforts of Paul Atreides to maintain his family’s control over the planet Arrakis, the “Dune” series will focus on an enigmatic order of women – the Bene Gesserit – who serve as trusted advisers and companions to many in the “Dune” universe.
“The Boondocks” (HBO Max)
Premiere date: TBD (likely spring 2020, when HBO Max officially launches)
Reboot of: “The Boondocks” (2005 to 2014)
What it’s about: The new show will be a continuation of the original series, and will focus on Robert “Granddad” Freeman and his two grandsons as they move to a new community and struggle to fit in.
“Practical Magic” (HBO Max)
Premiere date: TBD (likely spring 2020, when HBO Max officially launches)
Prequel to: “Practical Magic” (1998)
What it’s about: According to Vogue Australia, the new series will be a prequel to the beloved 1998 film, and will focus on “three siblings as they realize that they’re actually descended from witches.”
“Gremlins: Secrets of the Mogwai” (HBO Max)
Premiere date: TBD (likely spring 2020, when HBO Max officially launches)
Prequel to: “Gremlins” (1984)
What it’s about: The animated prequel will focus on the origins of the shopkeeper, Mr. Wing, who was featured in both the original movie and the 1990 sequel.
“Clueless” (CBS Studios)
Premiere date: TBD (likely 2020)
Reboot of: “Clueless” (1995)
What it’s about: The reboot will focus on the character of Dionne, played by Stacey Dash in the original film, after her best friend and right-hand woman Cher (famously portrayed by Alicia Silverstone in the film) mysteriously disappears. Deadline reported that the new show is like if “‘Mean Girls’ meets ‘Riverdale’ meets a Lizzo music video,” and described it as “a baby pink and bisexual blue-tinted, tiny sunglasses-wearing, oat milk latté, and Adderall-fueled look” at high school life in 2020.
“Punky Brewster” (NBCU)
Premiere date: TBD (likely 2020)
Revival of: “Punky Brewster” (1984 to 1986)
What it’s about: The revival will see Soleil Moon Frye reprise her role as Punky, who’s now a grown-up single mother with several children. Freddie Prinze Jr. will also appear in the revival, playing the recurring role of Punky’s ex-husband, Travis.
“Lizzie McGuire” (Disney Plus)
Premiere date: TBD (likely 2020)
Reboot of: “Lizzie McGuire” (2001 to 2004)
What it’s about: The reboot will follow a grown-up Lizzie (Hilary Duff, reprising her role from the original series) as she navigates life in New York City as a 30-year-old. Duff revealed to ABC’s “Good Morning America” that the adult Lizzie works as an apprentice to an interior designer, has a fiancé, and lives in Brooklyn – but that her world is about to change abruptly.
Some characters from the original series, including Lizzie’s mom, dad and brother, will return for the reboot, as well as the animated Lizzie that was a hit with fans early on.
“The Staircase” (TBD)
Premiere date: TBD
Remake of: “The Staircase” (2004)
What it’s about: Harrison Ford will reportedly star in an upcoming remake of the 2004 docuseries, which focused on the trial of novelist Michael Peterson, accused of murdering his wife in 2001. The author said his wife died after falling down a staircase, but authorities suspected it was a cover-up – and that Peterson himself had actually killed her, staging it to look like an accident.


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an easy-to-use dynamic service discovery, configuration and service management platform for building cloud native applications
Dynamic Configuration Service allows you to manage configurations in all environments in a centralized, externalized, and dynamic approach. Dynamic configuration saves you from redeploying your applications and services when configuration is updated. You can implement stateless services and achieve on-demand scaling effortlessly.
Dynamic Service Discovery is key to service-centric (for example microservice or cloud-native) architectures. Nacos supports both DNS-based and RPC-based (Dubbo, gRPC) service discovery, and provides real-time service health checks to prevent routing requests from being sent to unhealthy hosts or service instances. With Nacos, you can also implement circuit breakers for your services with ease.
By supporting weighted routing, Dynamic DNS Service helps you implement mid-tier load balancing, more flexible routing, traffic control and DNS resolution services in the production environment within your data center. Dynamic DNS Service also makes it easier for you to implement DNS-based service discovery, which minimizes the risk of coupling to vendor-specific service discovery APIs.
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