Getting Set Up¶
The Bokeh project encompasses two major components: the Bokeh package source code, written in Python, and the BokehJS client-side library, written in TypeScript. Accordingly, development of Bokeh is slightly complicated by the explicit compilation step required to generate deployable JavaScript.
For this reason, in order to develop Bokeh from a source checkout, you must first be able to build BokehJS. This chapter will walk you through getting a full development environment set up.
Preliminaries¶
Git¶
The Bokeh source code is stored in a Git source control repository. The first step to working on Bokeh is to install Git on to your system. There are different ways to do this depending on whether, you are using Windows, OSX, or Linux.
To install Git on any platform, refer to the Installing Git section of the Pro Git Book.
Conda¶
Developing Bokeh requires installing some software packages that are not
Python packages (e.g. Selenium, NodeJS, etc.). To make this more manageable,
core developers rely heavily on the conda package manager for the free
Anaconda Python distribution. However, conda
can also install
non-Python package dependencies, which helps streamline Bokeh development
greatly. It is strongly recommended that anyone developing Bokeh also use
conda
, and the remainder of the instructions will assume that conda
is available.
To install Conda on any platform, see the Download conda section of the conda documentation.
Conda environment¶
Setting up an isolated conda environment to guarantee package compatibility is considered best practice. To set up a clean environment, issue the following command:
conda create --name bokeh-dev
Then, to activate the environment:
conda activate bokeh-dev
Cloning the Repository¶
The source code for the Bokeh project is hosted on GitHub. To clone the source repository, issue the following command:
git clone https://github.com/bokeh/bokeh.git
This will create a bokeh
directory at your file system location. This
bokeh
directory is referred to as the source checkout for the remainder
of this document.
Installing Dependencies¶
Bokeh requires many additional packages for development and testing. Many of these are on the main Anaconda default channel, but others are only available from additional conda channels, or via the Node Package Manager.
Conda Packages¶
On all platforms, execute the following two commands at your command prompt to add the “bokeh” and “conda-forge” channels to your list of package sources:
conda config --append channels bokeh
conda config --append channels conda-forge
Note
If you do not wish to make configuration changes to your conda
configuration, then the channels above can be added on a per-command
basis with the -c
command line option to conda
, e.g.
conda install -c bokeh -c conda-forge <pkgs>
. Alternatively, add the
channels to the current active conda environment with the --env
flag.
It’s also necessary to install jinja2 and pyyaml first, to bootstrap the rest of these instructions. To do that, execute:
conda install jinja2 pyyaml
From the top level of the source checkout directory, execute the following command at your command prompt to install all the required packages:
OSX / Linux (bash / sh)
conda install `python scripts/deps.py build run test`
Note the required backticks in the command.
OSX / Linux (fish)
conda install (python scripts/deps.py build run test | string replace -ar '\s\s+' ' ' | string split ' ' | string escape)
Windows (Powershell)
conda install $(python scripts/deps.py build run).split() | where {$_}
Winows (DOS Command Prompt)
for /F "delims=" %i in ('python scripts\deps.py build run') do (conda install %i)
Note
The test
category has been omitted from the Windows installs above
because not all of the testing packages are easily installable on Windows
yet. The commands above will install everything necessary to build and run,
however. If you are interested in helping out and becoming a Windows
maintainer for Bokeh, please contact the developers.
Node Packages¶
Building BokehJS also requires installing JavaScript dependencies using
the Node Package Manager. If you have followed the instructions above,
conda
has already installed the necessary npm
and node.js
packages to your system.
Bokeh is typically updated to require the latest major revision of npm
in order to build. To install the lastest version globally, start from the
top level of the source checkout directory, and execute the following
commands
cd bokehjs
npm install -g npm
If you do not wish to install globally (i.e. with -g
) then all
subsequent npm
commands will need to be adjusted to use the local
version installed under bokehjs/node_modules
.
Next, still in the bokehjs
subdirectory, execute the following command
to install all of BokehJS JavaScript dependencies:
npm install --no-save
This command will install the necessary packages into the node_modules
subdirectory.
Typically, these instructions only need to be followed once, when you are first getting set up. Occasionally, however, dependencies may be added or changed, in which case these instructions will need to be followed again.
Configuring Git¶
There are a few configurations you can make locally that will help make working with the repository safer and easier.
Note
The optional instructions in this section are specific to OSX and Linux.
Git Hooks¶
In order to help prevent some accidental errors, here are some git hooks
that may be useful. The scripts below should be placed in the .git/hooks
subdirectory in the top level of the source checkout directory and be
marked executable with e.g. chmod +x pre-commit
. For more information
on git hooks, see this turorial.
pre-commit
This git hook runs all the codebase tests before allowing a commit to proceed. Note that all the standard testing dependencies must be installed in order for this hook to function.
#!/bin/bash py.test -m codebase exit $?
pre-push
This git hook prevents accidental pushes to
master
on GitHub.#!/bin/bash protected_branch='master' current_branch=$(git symbolic-ref HEAD | sed -e 's,.*/\(.*\),\1,') if [ $protected_branch = $current_branch ] then read -p "You're about to push master, is that what you intended? [y|n] " -n 1 -r < /dev/tty echo if echo $REPLY | grep -E '^[Yy]$' > /dev/null then exit 0 # push will execute fi exit 1 # push will not execute else exit 0 # push will execute fi
Git Aliases¶
There are also some useful aliases that can be added to the .gitconfig
file located in your home directory.
The following alias adds a git resolve
command that will automatically
open up your editor to resolve any merge conflicts.
[alias]
resolve = !sh -c 'vim -p $(git status -s | grep "^UU" | cut -c4-)'
You can replace vim
with whatever your favorite editor command is.
Building and Installing¶
Once you have all the required depencies installed, the simplest way to
build and install Bokeh and BokehJS is to use the setup.py
script at
the top level of the source checkout directory.
The setup.py
script has two main modes of operation:
python setup.py install
Bokeh will be installed in your Pythonsite-packages
directory. In this mode, any changes to the python source code will not show up untilsetup.py install
is run again.
python setup.py develop
Bokeh will be installed to refer to the source directory. Any changes you make to the python source code will be available immediately without any additional steps.
With either mode, you will be prompted for how to install BokehJS, e.g.:
python setup.py develop
Bokeh includes a JavaScript library (BokehJS) that has its own
build process. How would you like to handle BokehJS:
1) build and install fresh BokehJS
2) install last built BokehJS from bokeh/bokehjs/build
Choice?
You may skip this prompt by supplying the appropriate command line option
to setup.py
, e.g.
python setup.py develop --build-js
python setup.py develop --install-js
Note that you will need to build BokehJS any time that the BokehJS source code changes (either by you or by pulling new revisions from GitHub). In particular, at the very least, you must build BokehJS the first time you install.
Note
Occasionally the list of JavaScript dependencies also changes. If this occurs, you will also need to re-run the instructions in the Node Packages section above.
Downloading Sample Data¶
Several tests and examples require Bokeh’s sample data to be available. Once Bokeh is installed, the simplest way that sample data can be obtained is by executing the following command at a Bash or Windows prompt:
bokeh sampledata
It’s also possible to configue the download location, or to start the download programmatically. For full details see the Sample Data section of the User’s Guide.
Next Steps¶
You can check that everything is installed and set up correctly by executing the command:
python -m bokeh info
You should see output similar to:
Python version : 3.6.1 |Anaconda, Inc.| (default, May 11 2017, 13:04:09)
IPython version : 5.3.0
Bokeh version : 0.12.7dev3-17-g184f1ed7a
BokehJS static path : /Users/bryan/work/bokeh/bokeh/server/static
node.js version : v6.10.3
npm version : 3.10.10
The next check that can be made is to run some of the examples. There are different ways in which bokeh can be used which suit a variety of use cases.
To create an html file,
BOKEH_RESOURCES=inline python examples/plotting/file/iris.py
which will create a file iris.html
locally and open up a web browser.
The variable BOKEH_RESOURCES
determines where the css and JavaScript
resources required by bokeh are found. By specifying inline
we are using
the version of BokehJS we just built to include the resources inline as part of
the html file. The BOKEH_RESOURCES
variable is required as the default
behaviour is to use CDN resources.
Another method of running bokeh is as a server. An example of this mode of operation can be run using the command
python -m bokeh serve --show examples/app/sliders.py
which will open up a browser with an interactive figure.
All the sliders allow interactive control of the sine wave, with each update
redrawing the line with the new parameters. The --show
option opens the
web browser to the appropriate address, the default is localhost:5006
.
If you have any problems with the steps here, please contact the developers.


Introduction¶
Garn is a small Kwant based package for doing effective mass calculations on two models of contact geometry effects on semiconductor nanowires.
This documentation is of the software and how it is used and will not cover the physics behind the simulations. A formal introduction to the project is publiched in Numerical simulations of contact geometry effects on transport properties of semiconductor nanowires.
Using Garn¶
As any python package when the package is in your python path type
import garn
to use it.
Creating a wire system is done with a call to any of the two wire
classes Wire3D
or Wire2D
. In this case
Wire3D
.
wire = garn.Wire2D(base=3, wire_length=30, lead_length=5,
identifier="test-2D", step_length=1)
Now you can plot the system with the system_plot()
methodto see if it looks as you expect.
wire.plot()
In the end it is all about calculation the transmission through the system. This is done with with the :meth: ~garn.transmission function. For example calculating the transmission from the start to the end of the wire in 10 equidistant points in the intervall 0 to 1 [t] can done with the command.
wire.transmission(start_energy=0, end_energy=1,
number_of_points=10)
The transmission data and information about the wire is saved in a file named after the following principle
"data-" + wire.identifier
In this case wire.identifier is set to “test-2D” so the filename will be “data-test-2D”. The resulting list of transmissions and energies can also be accesed via the attributes wire.energies and wire.transmission.
A instance of the classes Wire2D
and Wire3D
can also be made with the “file_name” parameter as only parameter.
wire_from_file = garn.Wire2D(file_name="data-test-2D")


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public class DoubleRDDFunctions
extends Object
implements org.apache.spark.internal.Logging, scala.Serializable
| Constructor and Description |
|---|
DoubleRDDFunctions(RDD<Object> self) |
| Modifier and Type | Method and Description |
|---|---|
long[] |
histogram(double[] buckets,
boolean evenBuckets)
Compute a histogram using the provided buckets.
|
scala.Tuple2<double[],long[]> |
histogram(int bucketCount)
Compute a histogram of the data using bucketCount number of buckets evenly
spaced between the minimum and maximum of the RDD.
|
double |
mean()
Compute the mean of this RDD's elements.
|
PartialResult<BoundedDouble> |
meanApprox(long timeout,
double confidence)
Approximate operation to return the mean within a timeout.
|
double |
popStdev()
Compute the population standard deviation of this RDD's elements.
|
double |
popVariance()
Compute the population variance of this RDD's elements.
|
double |
sampleStdev()
Compute the sample standard deviation of this RDD's elements (which corrects for bias in
estimating the standard deviation by dividing by N-1 instead of N).
|
double |
sampleVariance()
Compute the sample variance of this RDD's elements (which corrects for bias in
estimating the variance by dividing by N-1 instead of N).
|
StatCounter |
stats()
Return a
StatCounter object that captures the mean, variance and
count of the RDD's elements in one operation. |
double |
stdev()
Compute the population standard deviation of this RDD's elements.
|
double |
sum()
Add up the elements in this RDD.
|
PartialResult<BoundedDouble> |
sumApprox(long timeout,
double confidence)
Approximate operation to return the sum within a timeout.
|
double |
variance()
Compute the population variance of this RDD's elements.
|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
$init$, initializeForcefully, initializeLogIfNecessary, initializeLogIfNecessary, initializeLogIfNecessary$default$2, initLock, isTraceEnabled, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning, org$apache$spark$internal$Logging$$log__$eq, org$apache$spark$internal$Logging$$log_, uninitialize
public DoubleRDDFunctions(RDD<Object> self)
public scala.Tuple2<double[],long[]> histogram(int bucketCount)
bucketCount
- (undocumented)public long[] histogram(double[] buckets, boolean evenBuckets)
<=x<10, 10<=x<20, 20<=x<=50
And on the input of 1 and 50 we would have a histogram of 1, 0, 1
buckets
- (undocumented)evenBuckets
- (undocumented)public double mean()
public PartialResult<BoundedDouble> meanApprox(long timeout, double confidence)
timeout
- (undocumented)confidence
- (undocumented)public double popStdev()
public double popVariance()
public double sampleStdev()
public double sampleVariance()
public StatCounter stats()
StatCounter
object that captures the mean, variance and
count of the RDD's elements in one operation.public double stdev()
public double sum()
public PartialResult<BoundedDouble> sumApprox(long timeout, double confidence)
timeout
- (undocumented)confidence
- (undocumented)public double variance()


Fire captain who was critically injured in blaze released from hospital
Toronto's fire chief says a captain who was critically injured while battling a blaze earlier this month has been released from hospital. Chief Matthew Pegg shared a photo on Twitter showing Capt.
by Canadian PressToronto's fire chief says a captain who was critically injured while battling a blaze earlier this month has been released from hospital.
Chief Matthew Pegg shared a photo on Twitter showing Capt. James Warren leaving a downtown hospital flanked by a fellow firefighter.
Warren was rushed to the intensive care unit on November 2 when he fell off a roof while helping extinguish a fire at an abandoned building in the city's downtown core.
The other firefighter shown in Pegg's photo also fell off the roof, but was less seriously injured.
According to Pegg, the two firefighters said they came into the hospital together and would leave together as well.
The fire is being investigated as arson and police are still searching for a suspect.
This story by the Canadian Press was first published Nov. 24, 2019.
The Canadian Press


Symbol Index for "Projected Outcome"
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Preparation time
30 mins to 1 hour
Cooking time
1 to 2 hours
Serves
Serves 4
Crayfish makes for a wonderfully flavourful chowder. Taking the time to make your own stock makes it extra special.
First make the stock. Put the olive oil in a large, heavy-based saucepan. Add the vegetables and sauté briskly until starting to caramelise. Add the crayfish shells and stir until any liquid evaporates off and they turn a deep red.
Pour over the white wine and leave to bubble for a couple of minutes. Pour in 1½ litres/2½ pints water and the remaining stock ingredients. Bring to the boil then turn the heat down and simmer for 40 minutes. Strain and set aside.
For the chowder, melt half of the butter in a large saucepan. Add the onion and sauté until translucent. Add the potatoes and leeks and stir to mix. Add the stock and season with salt and pepper.
Bring to the boil, turn down the heat and simmer, uncovered, for about 15 minutes. At this point the vegetables should be tender. Stir in the dill leaves.
Melt the remaining butter in a frying pan. Season the reserved crayfish tails with salt and pepper and add to the pan. Fry for a couple of minutes and add to the chowder. Divide the chowder between 4 bowls and top with a teaspoon of crème fraîche, serve immediatedly.


The Class of 2020 Is All Dressed Up With Nowhere to Go
Students graduating from college this year were born soon after 9/11, grew up during the Great Recession and are launching into adulthood amid a global pandemic. How much more can Gen Z take?
Students graduating from college this year were born soon after 9/11, grew up during the Great Recession and are launching into adulthood amid a global pandemic. How much more can Gen Z take?
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Chuck Dietzen, who is running for election to the U.S. House to represent Indiana's 5th Congressional District, used a photo of Mother Teresa in one of his election videos.
There is currently no scientific proof that people who have recovered from COVID-19 are protected from a second infection.
The White House Coronavirus Task Force member noted that many governors understand the process of reopening must be very gradual.
Faced with widespread backlash, Trump said he was merely being sarcastic when he suggested injecting disinfectant products should be looked into as a method to treat coronavirus patients.
The secretary of state accused radical-left academics of "seeking to impose their values on our children."
Maryland voters are participating in the state's first predominantly all-mail election for a congressional representative to complete Elijah Cummings' term following the politician's death in October 2019.
"I almost cried," said a user of Six Feet Supplies, a charity started by teenagers who shop for those susceptible to COVID-19.
"We're not selling anything," Sacco said Tuesday. "Every single bit of this is donation-only or nothing."
"When this whole thing started what kept me up at night is the possibility of mass casualties in our community," Riya Ortiz told Newsweek.
From "The Beach" to "Into the Wild", these movies have the power to take you away from reality for a few hours and let you dream of a post-pandemic adventure.
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Researchers in Italy first reported skin problems as a potential COVID-19 symptom in March.
A heatwave is also ravishing the Desert Southwest, making California more vulnerable to landslides.
Boris Johnson has returned to work today, three weeks after he was hospitalized with the coronavirus.
Seven tips to help this year's college seniors succeed from experts who got their own degrees during the Great Recession and other crises—and made out just fine anyway
Investigations are in place to work out how the animals in the Netherlands' southern province of Noord-Brabant became infected with the novel coronavirus.
Chuck Dietzen, who is running for election to the U.S. House to represent Indiana's 5th Congressional District, used a photo of Mother Teresa in one of his election videos.
There is currently no scientific proof that people who have recovered from COVID-19 are protected from a second infection.
The White House Coronavirus Task Force member noted that many governors understand the process of reopening must be very gradual.
Faced with widespread backlash, Trump said he was merely being sarcastic when he suggested injecting disinfectant products should be looked into as a method to treat coronavirus patients.
The secretary of state accused radical-left academics of "seeking to impose their values on our children."
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President Trump was also found to be three points behind former Vice President Joe Biden in head-to-head polling from the state.
Heads of state across the world have emphasized the importance of social distancing during Ramadan.
There are over 100 potential vaccines in development around the world, with the Oxford group among the first to test theirs in human volunteers.
The Bureau of Prisons currently oversees the care of 143,407 federal inmates in the institutions it manages.
The map was put together using six regional maps made during the Apollo era, in combination with information collected during recent lunar missions.
Pet owners with COVID-19 should avoid "petting, snuggling, being kissed or licked, and sharing food or bedding" with their animals, the USDA said.
The official list of weird and wonderful presents given to the royal family last year is out, with Donald Trump and Archbishop Desmond Tutu both making an appearance.
Scientists have analyzed fossils from the Cambrian explosion 540 million years ago to the present day to explore levels of marine biodiversity over time.
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Ronaldo admits he is not '100 percent'
Cristiano Ronaldo had reacted angrily to twice being substituted by Juventus coach Maurizio Sarri, who said the Portuguese star has a 'little knee problem'
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{% extends PATH + "/inc/layout.html" %} {% block staff_content %} {# this is a macro: pass the id of the selected iteam. Code in inc/layout.html #} {{ horizontal_nav('nav-unallocated') }}
| Name | Condition | Status | Claim submitted |
|---|---|---|---|
| Oliver Reed - Trainee Manager, McDonalds #2 (3 cases in total) | Autism | New appliction | 5 June 2017 |
| Martin Short | Eplilepsy | New appliction | 12 June 2017 |
| Cheryl Cook | Depression | New appliction | 12 June 2017 |
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| Oliver Reed - Salesman, Carphone Warehouse (3 cases in total) | Autism | New appliction | 5 June 2017 |
| Pauline McCallum | Depression | New appliction | 12 June 2017 |
| Jonty Lee | Depression | New appliction | 12 June 2017 |
| Peter Keil | Blind | New appliction | 12 June 2017 |
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| Caitlin Rose | Blind | New appliction | 12 June 2017 |
| Scott Moore | Autism | New appliction | 12 June 2017 |


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Our team members have not only consulted to medical affairs and worked within medical affair, but have created and built whole medical affairs departments.
In addition to the typical in-house sales and marketing background, our team members bring scientific and medical degrees to bear, adding an insightful dimension to our perspectives.
The diversity of functional backgrounds on our team improves not only the quality of our recommendations but the likelihood of successful implementation.


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This lab module will walk you through how to launch the Cloud9 IDE and download the device firmware source code. By the end of the module you will have:
The AWS Cloud9 Integrated Development Environment (IDE) is a service that runs on EC2 and provides a interactive and consistent development environment. You interact with it via a web browser, and it allows for command line access, a folder tree, and the ability to upload and download files between it and your local laptop.
Using Cloud9 is good because it gives a consistent compilation experience no matter the model or age of your laptop. It compiles within a couple minutes (older laptops can take 15 minutes or longer), and if compile times become too long, you can change the underlying instance size to obtain even more CPU or memory resources.
Follow each step in order and use the Click to open for detailed step-by-step instructions if required.
From the dispenser app, open the MY DETAILS section and open a new browser tab or window to the Sign-in URL, then login in with the credentials provided. From the AWS Console, open a new tab to the Cloud9 service. From the Your Environments menu, click on the Open IDE button for your user. This will open a new tab with the IDE and start up the EC2 instance (it may take a minute to fully launch).
With the IDE open, close the Welcome tab, and the click the green circled plus icon and select New terminal which will open a command line in the ~/environment
directory. Copy and paste the following lines in the terminal window to install the dependencies and the Xtensa toolchain for the microcontroller (ESP32). The final commands will add the toolchain to your PATH
so the build process can execute correctly.
# Install OS utilities needed by toolchain
sudo yum -y install flex gperf
# Install Python modules (also used by toolchain)
sudo pip install argparse cryptography serial pyserial cmake
# Install the 64-bit version of the Xtensa ESP32 toolchain
cd ~/environment
wget https://dl.espressif.com/dl/xtensa-esp32-elf-linux64-1.22.0-80-g6c4433a-5.2.0.tar.gz
mkdir ~/environment/esp
cd ~/environment/esp
tar xvfz ../xtensa-esp32-elf-linux64-1.22.0-80-g6c4433a-5.2.0.tar.gz
cd ~/environment
# Finally, add the toolchain path to your profile
echo 'PATH=$PATH:$HOME/environment/esp/xtensa-esp32-elf/bin' >> ~/.bash_profile
source ~/.bash_profile
# ============= Finished installation of dependencies =============
The device firmware resides in the workshop’s GitHub repository. Copy and paste the following lines to clone the repository locally and change to the directory where the compile operations will take place.
cd ~/environment
git clone --depth 1 https://github.com/aws-samples/connected-drink-dispenser-workshop.git
cd connected-drink-dispenser-workshop/device_firmware
# ============= Finished installation of Connected Drink Dispenser repository =============
To verify that all components are in place, run the following commands to create the build environment in the device_firmware
directory, then change to the build directory (it will be created in root of the repository, at ~/environment/connected-drink-dispenser-workshop/build
).
Run each of these commands and verify they completed without errors (warnings are okay).
cd connected-drink-dispenser-workshop/device_firmware
cmake -DVENDOR=espressif -DBOARD=esp32_devkitc -DCOMPILER=xtensa-esp32 -S . -B ./build
This should only take a few seconds and end with no errors. Then run the make
process:
cd build
make all -j4
cd ..
Again verify there were no errors. The final output of the build step should look like this:
...
[100%] Building C object CMakeFiles/aws_demos.dir/demos/wifi_provisioning/aws_wifi_connect_task.c.obj
[100%] Linking CXX executable aws_demos
[100%] Built target aws_demos
Scanning dependencies of target app
[100%] Generating ../aws_demos.bin
esptool.py v2.6
[100%] Built target app
As a result of the build process, files have been created in ~/environment/connected-drink-dispenser-workshop/build
. Among these there is also the the firmware that will be flashed onto the microcontroller.
Please ensure the following checkpoints are validated before moving on to the next module.
aws_demos.bin
in ~/environment/connected-drink-dispenser-workshop/build
.cmake
or make all
steps.We used a reproducible method (all the commands above can be automated) to create a development environment and toolchain build process. By doing this, you can always recreate the environment if something gets corrupted. Having the ability to quickly iterate in changes is an important factor in developing firmware.


The beach (again)
Woke up late, and stumbled down a block or two to get my free digeridu lesson that I don't remember booking the night before.  Weird. My end result was a bit poor.
Spent the rest of the day working on the web site for the hostel here, the results of which will be online soon. We had dinner at some stupidly late time, and did over some more potent Aussie ales. I met this top quality geezer called "Fast" Eddie, from Cancun in Mexico. That was the way he liked to drink his Johnny Walker, and the way he liked his women.
I also met two geezers of the highest order called Si and Mark, from Hornchurch in Essex. Never met a bad bloke from there yet. Sample quotes: "I done the place up large wiv' me shooter", and "I turn the lights on and every geezer in the place goes 'aaahh!'".
Oh God, I also met three tossers called Simon, Ben and Lockie, so painfully obviously public school educated. They finished the night watching The Exorcist ("dark, yaah"), after losing in turn to my sister at paper, scissors, stone, resulting in them having to down dirty amounts of "Chateau Cardboard" wine. Nasty.
Back to the main page


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Awesome App
compose
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compose_fill
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Graphics - Mesh Editing
This is the first part of Scotty3D graphcis package, where I implemented several interesting mesh editing operations.
List of operations
Local operations:
This is the first part of Scotty3D graphcis package, where I implemented several interesting mesh editing operations.
Local operations:


Small Businesses
Choose from our broad selection of coverages and design the right solution for your company.


Warriors in our Professions | Leaders in our Communities
The Warrior Leader Foundation Chapters and Communities are made up of its members and a leadership team as outlined below. We have also included some potential ideas to help you get started under the Local Chapters page.
Chapter Leadership Positions
Responsible for leading and steering the chapter as well as finances for the local chapter. We use the Square Card Readers to accept donations on the spot as they are very convenient to accept donations. Other responsibilities may include:
Create athletic, community, and social events
Coordinate events with other organizations
Manages donations and memberships
Look for local Ambassadors to bring on to your team. Ambassadors need to be current or past Military or First Responders who you feel embody what it means to be a Warrior Leader in your community. Ambassadors play a key role in spreading the word of our cause through posting to social media, participating in physical events such as Running Races, Crossfit Competitions, Lifting Competitions, Shooting Events, MMA/Boxing, Iron Mans, Marathons, Triathlons, GoRuck Challenges, Obstacle Course Races, etc. as they wear our gear and spread the word of who we are, who we support, and what we do.
Look to encourage events in your area to support Military and First Responders who may have fallen or was injured in your local area. Events to support and honor the lives of local Warrior Leaders and their families are the key to success for us as an organization. WE ARE A TEAM!!
Grows military and first responder involvement (Active, Veterans, or Future) by reaching out to local:
National Guard/Reserves Units
Fire and Police Departments
Emergency Medical Services
College ROTC Programs
High School JROTC Programs,
Help answer questions for those looking to join the Armed Forces, Police Departments, Fire Departments, or Medical Field
Local High School or College Sports Programs, and teams for other community sports leagues (Softball, Baseball, Soccer, Volleyball, etc.)
Find GoRuck Challenges, Spartan Races, Warrior Dashes, Tough Mudders, Triathlons, Marathons, Iron Mans, and Relays for Life for your TWLF Chapter to participate in
Responsible for planning and organizing outdoors events and activities such as:
Hunting, fishing, camping, hiking, etc. together. Outdoors activities are held very dearly for men and women of our armed forces and first responders. It is a common activity that both communities can bond through and provides opportunity to discuss past experiences.
Charity or Group Motorcycle Rides
Paintball, milsim and airsoft events. These sort of activities allow former military and LEOs the opportunity to work through PTSD and have fun doing it.
Coordinate Social Events to bring the community of leaders, members and volunteers together for updates on chapter progress and involvement.
BBQs
Movie Nights
Trips to Local Theme Parks
In charge of organizing and posting to Social Media outlets such as Facebook, Instagram and Twitter in order to show your participation, gain donations, and keep your supporters informed of your cause.
Note: All leadership positions do not have to be filled for a Warrior Leader Foundation, Inc. chapter to begin, but we ask that you work towards building a complete leadership team in order to develop a strong chapter and community that involves as many people as possible.
For acknowledgement as a Warrior Leader Foundation Chapter, the following requirements must be sustained:
Must be responsive to members and welcome all new signups within 48 hours
Establish a local TWLF Bank Account to manage donations and funding for events
Link Bank Account created with a Square Card Reader to accept on-the-spot donations
Maintain an active local Social Media presence
Calendar of athletic/social events developed, posted, and communicated to membership.
Manage local membership roster and donations (Members should pledge a $5 per month donation)
Host consistent TWLF events (should grow in scope/size with the community)
Maintain a calendar of events
Athletic events held weekly or bi-weekly
Team Social Events held at least quarterly
Community Service Events held at least quarterly; strive for monthly
Track activities and submit a monthly status report to<EMAIL_ADDRESS>via email
Conduct active Military, First Responder and Community outreach within local area
There are some small requirements that we ask of any person who would like to start the process of establishing a Warrior Leader Foundation Chapter in their location:
Have no pending moves planned within the next 6 months.
Be willing to commit 4-6 hours per week of personal time to our cause.
Be willing and comfortable with managing a small budget to fund TWLF events.
Most importantly, be comfortable being a LEADER – this is the single most crucial facet to starting a TWLF Chapter.
Coordinate Social Events to bring the community of leaders, members and volunteers together for updates on chapter progress and involvement.


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this is an example of col span
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| name | gender | roll no. |
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| arman | male | 39 |
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this is an example of lable hell yeah!!
bro these lables are damn cool registration
this is really awesome


{% extends "base.html" %} {% block title %}Add feature {% endblock title %} {% block content %}
Note: User-added GBdatabase entries are private and only accessible to the user who created them.
To add a construct to the database fill out the following form:
{% endblock content %}


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On logic in a Rails app
Recently, Grant Ammons wrote a nice article about where logic should lie in a Rails app. I would like to complement his opinion, and probably add some real life arguments to it.
Grant extracted logic from the controller, and put it in a separate object, which I also do most of the time. However, a user named DHH (which probably is DHH) said:
So all you’ve done here is extract the work of the controller action into a separate object. This adds needless indirection, makes the code base harder to follow, and is completely unnecessary.
I strongly disagree, and I have good reasons for it.
You know what makes the code base hard to follow? Fat controllers with logic in them. I worked on a Rails app with Controllers of 800 lines of code, it. is. a. freaking. nightmare.
My approach
I look at Rails as web presentation layer, it makes my app work in the browser. This has some consequences to my codebase:
- data-only models (no logic should be in models)
- logicless controllers (no logic should be there either)
- anything else is in single-responsibility objects in
app/domain/
You might think that this is a refactor pattern, and you are right. And you might say that this unnecessary to do from the start, and you may also be right. But the cost of creating a file and moving behaviour there is exactly 0, but the benefits are there from day 1.
Why I do it
Fast tests
The least I am coupled to Rails, the fastest my tests are. Currently, on a medium Rails project my tests run 2-3 seconds, where 90% of the time is wasted to boot rails and test models.
I don’t test my controllers, because they have no logic in them. My methods in controllers don’t have more than 4-5 lines of code.
class RatingsController < ApplicationController
def create
success = RatesBusiness.add_rating(params[:business_id],
params[:score],
current_user)
render json: {success: success}
end
end
RatesBusiness
has some foursquare-related logic besides just creating a entry in the database. Using this approach, I have a very fast TDD flow, because most of the time I don’t need Rails to test my logic. (any dependency to models is stubbed, as any other external dependency).
Your controller only connects your logic to the web interface.
 This is where single-responsibility objects kick in, I TDD them one time, I know about their existence and what their interface is, I will not ever see their code again.
Framework agnostic
When your app logic is not coupled with Rails, you do not depend on it, its version, or interface. Isolating some functionality to a service is a matter of moving some files around.
Reduced stress and debug times
Most of my classes fit in one screen, and have descriptive names as CategorizesCampagins
or FiltersBusinesses
, which makes debugging them very, very easy and pleasant.
Conclusion
Rails is just a framework to make your app work on the web, don’t mix your logic with rails-y stuff. Your app domain should be defined anywhere besides Rails views, controllers, and models.
Inspiration
First, and most influential person for me is Gary Bernhardt and his screencast series destroyallsoftware. If you want to learn isolated testing – watch this guy, he is amazing. (He even test-drives bash scripts :D)
Also, my approach was influenced by Hexagonal Rails concept.


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EBD - Easton Bible DIctionary
Stoning
STONING
"STONING "a form of punishment (
Leviticus 20:2
;
24:14
;
Deuteronomy 13:10
;
17:5
;
22:21
) prescribed for certain offences. Of Achan (
Joshua 7:25
), Naboth (
1 Kings 21
), Stephen (
Acts 7:59
), Paul (
Acts 14:19
;
2 Corinthians 11:25
).
"STONING "a form of punishment (Leviticus 20:2; 24:14; Deuteronomy 13:10; 17:5; 22:21) prescribed for certain offences. Of Achan (Joshua 7:25), Naboth (1 Kings 21), Stephen (Acts 7:59), Paul (Acts 14:19; 2 Corinthians 11:25).


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Overview
Edit (pull request)Editor operations, save, undo, redo, auto-validation
When performing changes in the editor you actually perform an ‘Operation’, operations basically relates to any change you make on the topology from adding a node, changing the value of a property, adding inputs to adding files in the catalog.
After performing operations on the editor the edition menu will allow you to save, undo or redo the operations. You can also use usual shortcuts to perform these operations (Ctrl+S, Ctrl+Z, Ctrl+Y on PCs and Cmd+S, Cmd+Z, Cmd+Y on MacOS). If the button Auto-validation is set, all operations on the editor except node move will check if the topology is valid
Saving operations
When you save the topology, all pending operations will be saved, the content of the archive will be updated (yaml or pending file change operations) and all saved operations will be removed from the undo/redo queue meaning that you won’t be able to undo them. If some operations have been undone before saving they will still exist in the operation queue and you will be able to redo them.
Leaving the editor with pending operations
When you try to leave the editor, if there are pending (unsaved) operations, a popup will notify it to you, leaving you with two choices:
- Save: Will trigger a save action on all pending operations.
- Undo: Will cancel all pending operations.
- Keep_in_session: Will not trigger the save action. Note that this WILL NOT CLEAR the pending operations. Therefore, you will still have them when comming back on the editor, as long as your edit session hasn’t expired.
Shortcuts
Save, undo and redo are the first shortcuts that we have introduced in the alien 4 cloud editor. We will add some more shortcuts in the future versions, join us on slack and ask for your favorites shortcuts or even better contribute to the project and make things happen!
To get the list of all shortcuts available press the ? key.


YURI PRATAMA
PIXEL PLAYER • CODE WARRIOR • CREATIVE THINKER
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Priestess Alicia:
High Priestess Morelyn is in charge of all the priests in this temple. She is known as "Fafurion's Watchman" because she is always at the waterscape in the middle of the temple, watching the movements of Fafurion and the other creatures in the water.
Return


Coffee Leaderboards
Today
{% for entry in leaderboard.today %}
{{entry.total}}
{{entry.user}}
{% endfor %}
This Week
{% for entry in leaderboard.week %}
{{entry.total}}
{{entry.user}}
{% endfor %}
All Time
{% for stat in leaderboard.totals %}
{{stat.total}}
{{stat.user}}
{% endfor %}
Average Coffee Drunk by Weekday
{% for weekday in leaderboard.daystats %}
{{weekday.count}}
{{weekday.day}}
{% endfor %}


I’m A Celebrity viewers asking if the campmates are wearing make-up
Caitlyn Jenner and Kate Garraway raised some questions
by Rebecca CarterViewers of I'm A Celebrity were left wondering whether the campmates had access to make-up after last night's show.
On Monday night, Good Morning Britain presenter Kate Garraway and Caitlyn Jenner took on their first Bushtucker trial, Bugged Out.
However, fans of the show began asking whether the pair had make-up on leading to questions whether the campmates are glamming up behind the scenes.
Read more: I’m A Celebrity viewers divided over Adele Roberts' luxury item
One person said on Twitter: "@imacelebrity why is @kategarraway allowed make up? Looks like she got a face full of make-up... or has she not taken her makeup off since day 1?"
Another wrote: "Are they allowing make up this year on #imacelebrity? Because Garraway and Jenner had plenty on in their trial last night?"
A third tweeted: "So they are allowed make up in the jungle because Kate Garraway is well glammed up #ImACeleb."
Ent Daily has contacted reps for I'm A Celebrity for comment.
During last night's trial, Kate and Caitlyn were strapped down inside transparent boxes, which were then lifted in the air.
They had to chuck a ball into a moving bucket below them and had 10 minutes to try and get as many as they could.
The pair were joined by a number of critters in the box as well as rats.
They managed to get two balls each into the buckets, meaning they had four meals in total.
Read more: Ronan Kemp melts I'm A Celebrity viewers' hearts with tragic details about dad Martin's health
Hosts Ant McPartlin and Dec Donnelly then revealed the pair had to split, with one going to the more luxury camp Croc Creek while one had to return to Snake Rock.
The campmates in Croc Creek had to decide who they wanted to join them and they chose Kate, meaning Caitlyn went back to the less-than-luxury camp.
I'm A Celebrity continues tonight on ITV at 9pm.
Leave us a comment on our Facebook page @EntertainmentDailyFix and let us know what you think of this story.


Tutorial
Let’s do your first stream with River. The following tutorial is written in Python, but the concepts and method names are very similar in C++. Similar example code in C++ can be found in river_example.cpp.
Redis
River utilizes Redis as its underlying database. If you don’t have it running, the [Redis website](https://redis.io/) has great instructions on downloading and installing. Note that Redis is currently only supported on Linux, Mac, and Windows Subsystem for Linux (WSL).
This tutorial assumes Redis is running at localhost <IP_ADDRESS> on the standard port 6379, but adjust the following if it’s not.
Writing
First, let’s create your first stream via river’s StreamWriter:
import river
import uuid
import numpy as np
stream_name = str(uuid.uuid4())
print("Creating a stream with name", stream_name)
# Create a River StreamWriter that connects to Redis at localhost with port 6379 (the default)
w = river.StreamWriter(river.RedisConnection("<IP_ADDRESS>", 6379))
# River's Python bindings has built-in support for conversion between River's schema objects
# and numpy's dtype. These lines initialize a stream where each sample has a single field,
# a double, named `col1`. See the documentation on StreamSchema for a complete list of supported
# NumPy types.
dt = np.dtype([('col1', np.double)])
w.initialize(stream_name, river.StreamSchema.from_dtype(dt))
# Create a buffer of data to write to the stream. #new_buffer
# is syntactic sugar for creating a numpy array with the schema's
# dtype (e.g. `np.empty((10,) dtype=dt)`).
to_write = w.new_buffer(10)
to_write['col1'] = np.arange(10, dtype=np.double)
# Use a context manager approach so we can't forget to stop the stream:
with w:
# Write data! Writes an array of doubles to the stream. It is on the user to ensure that the given numpy array
# passed in is formatted according to the stream schema, else garbage can be written to the stream.
w.write(to_write)
# Whenever the context ends (i.e. this `with` block terminates), w.stop() is called,
# so if you're not using a context like this, you can call w.stop() manually.
# This serves to "stop" the stream and declares no more samples are to be written.
# This "finalizes" the stream and is a required call to tell any readers (including
# the ingester) where to stop. Otherwise, all readers will continually timeout at the
# end of your stream, waiting for more samples.
Reading
Great! You have your first stream. In the same Python session, let’s read it back and print out the contents:
# Create the Reader and then initialize it with the stream we want to read from.
r = river.StreamReader(river.RedisConnection("<IP_ADDRESS>", 6379))
# The #initialize() call accepts a timeout in milliseconds for the maximum amount
# of time to wait for the stream to be created, if it is not already.
r.initialize(w.stream_name, 1000)
# Here, we'll read one sample at a time, and print it out. The number of samples
# read per invocation is decided by the size of the buffer passed in, so in this
# case, we create a new empty buffer with `new_buffer` (again, syntactic sugar for
# creating a numpy array with appropriate dtype). In real use cases, you should
# read as many samples per call as your latency/system tolerates to amoritze overhead
# of each call, i.e. you should use a buffer with many more samples.
data = r.new_buffer(1)
# Like with the writer, you can use a context manager to auto-stop the reader after
# you're done.
with r:
while True:
# Similar to the style of many I/O streams, we pass in a buffer that will be
# filled with read data when available. In this case, since `data` is of size
# 1, at most 1 sample will be read from the stream at a time. The second parameter
# is the timeout in milliseconds: the max amount of time this call will block until
# the given number of samples is available. In this case, it's 100ms max.
#
# The return value returns the number of samples read into the buffer. It should always
# be checked. -1 is returned once EOF is encountered.
num_read = r.read(data, 100)
if num_read > 0:
print(data['col1'][0])
elif num_read == 0:
print('Timeout occurred.')
continue
else:
print('EOF encountered for stream', r.stream_name)
break
# When the context exists, r.stop() is called, so without a context you can call it manually.
# Calling #stop() frees resources allocated within the StreamReader; this reader cannot be used again.
Your output should print out 0.0, 1.0, 2.0, …, 9.0. Note that, although in this example we wrote the stream and then read back the stream sequentially, both chunks of code can be run simultaneously; the reader will block as requested if there are not enough samples in the stream.
Ingestion
Now let’s ingest some data via the river-ingester binary:
GLOG_alsologtostderr=1 river-ingester -h <IP_ADDRESS> -o river_streams
This will begin the ingester, which will check Redis for any existing streams. River uses GLOG for logging, and so the environment variable GLOG_alsologtostderr prints out any logging information to STDERR.
The logs should include:
...
Starting ingestion of stream <your stream name>
...
Stream metadata for <your stream name> deleted.
...
After these log lines, you can ctrl-C the ingester. The following files should have been written in the river_streams directory:
$> ls -R river_streams
...
river_streams/<your stream name>:
data.parquet metadata.json
You can then print out the contents of data.parquet via Pandas and confirm it’s what’s expected:
python -c 'import pandas as pd; print(pd.read_parquet("river_streams/<your stream name>/data.parquet"))'
sample_index key timestamp_ms col1
0 0<PHONE_NUMBER>887-0<PHONE_NUMBER>887 0.0
1 1<PHONE_NUMBER>887-1<PHONE_NUMBER>887 1.0
2 2<PHONE_NUMBER>887-2<PHONE_NUMBER>887 2.0
3 3<PHONE_NUMBER>887-3<PHONE_NUMBER>887 3.0
4 4<PHONE_NUMBER>887-4<PHONE_NUMBER>887 4.0
5 5<PHONE_NUMBER>887-5<PHONE_NUMBER>887 5.0
6 6<PHONE_NUMBER>887-6<PHONE_NUMBER>887 6.0
7 7<PHONE_NUMBER>887-7<PHONE_NUMBER>887 7.0
8 8<PHONE_NUMBER>887-8<PHONE_NUMBER>887 8.0
9 9<PHONE_NUMBER>887-9<PHONE_NUMBER>887 9.0
You can see a couple columns in addition to the data we wrote have been added, namely:
sample_index: 0-indexed index of the sample/row
key: a globally unique identifier for the row (it’s actually the Redis key of the sample)
timestamp_ms: the UNIX timestamp in milliseconds of the Redis server
For those interested in interrogating data while a stream is ongoing: the ingester writes intermediate files in the form of data_XXXX.parquet in the given output directory while the stream is ongoing, where XXXX is of the form 0000, 0001, … . Each Parquet file represents a disjoint set of data written in ascending sample_index .
Finally, let’s look at the metadata.json and highlight a few key fields:
$> cat river_streams/<your stream name>/metadata.json | jq
{
"stream_name": "57031e25-ad00-49f6-8e42-3b69a4684fa9",
"local_minus_server_clock_us": "0",
"initialized_at_us": "1591593828887568",
"ingestion_status": "COMPLETED"
}
ingestion_status: can be COMPLETED or IN_PROGRESS. Reflects the status of ingesting this particular stream.
local_minus_server_clock_us: estimated difference between the local and server (i.e. Redis) clocks in microseconds.
initialized_at_us: the local UNIX timestamp in microseconds at which StreamWriter#initialize() was called.


This privacy policy applies to Aurora extension for Google Chrome.
Information gathering and usageWe do NOT collect any personal informations stored within the extension. We collect anonymous usage data using an industry standard third party analytics service (Google Analytics) to better understand the performance of our service. The information we collect via third party services does not contain personal information. The information we collect is used to improve Aurora and the quality of our service, and is not shared with or sold to others.
Your dataAurora uses third party vendors and hosting partners to provide the necessary hardware, software, networking, storage, and related technology required to run Aurora. Although Aurora owns the code, databases, and all rights to the Aurora extension, you retain all rights to your data.
SecurityWe make security a priority across the lifecycle. All communication with third party servers is secure, using SSL/TLS (HTTPS and HSTS).
ChangesAlthough most changes are likely to be minor, Aurora team may change its Privacy Policy from time to time, and in Aurora's sole discretion. Aurora encourages visitors to frequently check this page for any changes to its Privacy Policy. Your continued use of this site after any change in this Privacy Policy will constitute your acceptance of such change.
If you have any questions, please contact us via support page.
Last updated July 20th, 2017.


Insomniac make custom metal sculptures to order. Past works include Wetas, Spiders, Pigs, Signs, Crosses, Planters, 21st Keys and other abstract sculptures.
Insomniac design and build custom motorcycles and custom exhaust systems; but we also do motorcycle rebuilds, repairs and servicing.
Insomniac fabricate Roll Cages; Design and build custom Motorcycles and exhaust systems and all other aspects of General engineering.


Dependency Injection (DI) is a software design pattern that deals with how components get hold of their dependencies.
The Angular injector subsystem is in charge of creating components, resolving their dependencies, and providing them to other components as requested.
DI is pervasive throughout Angular. You can use it when defining components or when providing run
and config
blocks for a module.
Components such as services, directives, filters, and animations are defined by an injectable factory method or constructor function. These components can be injected with "service" and "value" components as dependencies.
Controllers are defined by a constructor function, which can be injected with any of the "service" and "value" components as dependencies, but they can also be provided with special dependencies. See Controllers below for a list of these special dependencies.
The run
method accepts a function, which can be injected with "service", "value" and "constant"
components as dependencies. Note that you cannot inject "providers" into run
blocks.
The config
method accepts a function, which can be injected with "provider" and "constant"
components as dependencies. Note that you cannot inject "service" or "value" components into
configuration.
See Modules for more details about run
and config
blocks.
The way you define a directive, service, or filter is with a factory function. The factory methods are registered with modules. The recommended way of declaring factories is:
angular.module('myModule', [])
.factory('serviceId', ['depService', function(depService) {
// ...
}])
.directive('directiveName', ['depService', function(depService) {
// ...
}])
.filter('filterName', ['depService', function(depService) {
// ...
}]);
We can specify functions to run at configuration and run time for a module by calling the config
and run
methods. These functions are injectable with dependencies just like the factory functions
above.
angular.module('myModule', [])
.config(['depProvider', function(depProvider) {
// ...
}])
.run(['depService', function(depService) {
// ...
}]);
Controllers are "classes" or "constructor functions" that are responsible for providing the application behavior that supports the declarative markup in the template. The recommended way of declaring Controllers is using the array notation:
someModule.controller('MyController', ['$scope', 'dep1', 'dep2', function($scope, dep1, dep2) {
...
$scope.aMethod = function() {
...
}
...
}]);
Unlike services, there can be many instances of the same type of controller in an application.
Moreover, additional dependencies are made available to Controllers:
$scope
: Controllers are associated with an element in the DOM and so are
provided with access to the scope. Other components (like services) only have
access to the $rootScope
service.Angular invokes certain functions (like service factories and controllers) via the injector. You need to annotate these functions so that the injector knows what services to inject into the function. There are three ways of annotating your code with service name information:
$inject
property annotationThis is the preferred way to annotate application components. This is how the examples in the documentation are written.
For example:
someModule.controller('MyController', ['$scope', 'greeter', function($scope, greeter) {
// ...
}]);
Here we pass an array whose elements consist of a list of strings (the names of the dependencies) followed by the function itself.
When using this type of annotation, take care to keep the annotation array in sync with the parameters in the function declaration.
$inject
Property AnnotationTo allow the minifiers to rename the function parameters and still be able to inject the right services,
the function needs to be annotated with the $inject
property. The $inject
property is an array
of service names to inject.
var MyController = function($scope, greeter) {
// ...
}
MyController.$inject = ['$scope', 'greeter'];
someModule.controller('MyController', MyController);
In this scenario the ordering of the values in the $inject
array must match the ordering of the
parameters in MyController
.
Just like with the array annotation, you'll need to take care to keep the $inject
in sync with
the parameters in the function declaration.
The simplest way to get hold of the dependencies is to assume that the function parameter names are the names of the dependencies.
someModule.controller('MyController', function($scope, greeter) {
// ...
});
Given a function the injector can infer the names of the services to inject by examining the
function declaration and extracting the parameter names. In the above example $scope
, and
greeter
are two services which need to be injected into the function.
One advantage of this approach is that there's no array of names to keep in sync with the function parameters. You can also freely reorder dependencies.
However this method will not work with JavaScript minifiers/obfuscators because of how they rename parameters.
Tools like ng-annotate let you use implicit dependency
annotations in your app and automatically add inline array annotations prior to minifying.
If you decide to take this approach, you probably want to use ng-strict-di
.
Because of these caveats, we recommend avoiding this style of annotation.
You can add an ng-strict-di
directive on the same element as ng-app
to opt into strict DI mode:
<!doctype html>
<html ng-app="myApp" ng-strict-di>
<body>
I can add: {{ 1 + 2 }}.
<script src="angular.js"></script>
</body>
</html>
Strict mode throws an error whenever a service tries to use implicit annotations.
Consider this module, which includes a willBreak
service that uses implicit DI:
angular.module('myApp', [])
.factory('willBreak', function($rootScope) {
// $rootScope is implicitly injected
})
.run(['willBreak', function(willBreak) {
// Angular will throw when this runs
}]);
When the willBreak
service is instantiated, Angular will throw an error because of strict mode.
This is useful when using a tool like ng-annotate to
ensure that all of your application components have annotations.
If you're using manual bootstrapping, you can also use strict DI by providing strictDi: true
in
the optional config argument:
angular.bootstrap(document, ['myApp'], {
strictDi: true
});
This section motivates and explains Angular's use of DI. For how to use DI, see above.
For in-depth discussion about DI, see Dependency Injection at Wikipedia, Inversion of Control by Martin Fowler, or read about DI in your favorite software design pattern book.
There are only three ways a component (object or function) can get a hold of its dependencies:
new
operator.The first two options of creating or looking up dependencies are not optimal because they hard code the dependency to the component. This makes it difficult, if not impossible, to modify the dependencies. This is especially problematic in tests, where it is often desirable to provide mock dependencies for test isolation.
The third option is the most viable, since it removes the responsibility of locating the dependency from the component. The dependency is simply handed to the component.
function SomeClass(greeter) {
this.greeter = greeter;
}
SomeClass.prototype.doSomething = function(name) {
this.greeter.greet(name);
}
In the above example SomeClass
is not concerned with creating or locating the greeter
dependency, it is simply handed the greeter
when it is instantiated.
This is desirable, but it puts the responsibility of getting hold of the dependency on the
code that constructs SomeClass
.
To manage the responsibility of dependency creation, each Angular application has an injector. The injector is a service locator that is responsible for construction and lookup of dependencies.
Here is an example of using the injector service:
// Provide the wiring information in a module
var myModule = angular.module('myModule', []);
Teach the injector how to build a greeter
service. Notice that greeter
is dependent on the
$window
service. The greeter
service is an object that contains a greet
method.
myModule.factory('greeter', function($window) {
return {
greet: function(text) {
$window.alert(text);
}
};
});
Create a new injector that can provide components defined in our myModule
module and request our
greeter
service from the injector. (This is usually done automatically by angular bootstrap).
var injector = angular.injector(['myModule', 'ng']);
var greeter = injector.get('greeter');
Asking for dependencies solves the issue of hard coding, but it also means that the injector needs to be passed throughout the application. Passing the injector breaks the Law of Demeter. To remedy this, we use a declarative notation in our HTML templates, to hand the responsibility of creating components over to the injector, as in this example:
<div ng-controller="MyController">
<button ng-click="sayHello()">Hello</button>
</div>
function MyController($scope, greeter) {
$scope.sayHello = function() {
greeter.greet('Hello World');
};
}
When Angular compiles the HTML, it processes the ng-controller
directive, which in turn
asks the injector to create an instance of the controller and its dependencies.
injector.instantiate(MyController);
This is all done behind the scenes. Notice that by having the ng-controller
ask the injector to
instantiate the class, it can satisfy all of the dependencies of MyController
without the
controller ever knowing about the injector.
This is the best outcome. The application code simply declares the dependencies it needs, without having to deal with the injector. This setup does not break the Law of Demeter.


Engineer at AmazonWriting Backend Software
Writing Backend Software
Philadelphia, PA
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"Stereotype threat refers to being at risk of confirming, as self-characteristic, a negative stereotype about one's group (Steele & Aronson, 1995). This term was first used by Steele and Aronson (1995) who showed in several experiments that Black college freshmen and sophomores performed more poorly on standardized tests than White students when their race was emphasized. When race was not emphasized, however, Black students performed better and equivalently with White students. The results showed that performance in academic contexts can be harmed by the awareness that one's behavior might be viewed through the lens of racial stereotypes.""
I have experienced stereotype threat in myself. When I was in high school, I was a really excellent math student. I loved math and excelled at it. I started the math team at my school, and the math club, and I even took math classes at other schools so I could do more interesting and advanced math.
I went to the same all girls school from kindergarten through senior year.
My feelings about math and my own abilities changed drastically (albeit temporarily) very shortly after I got to college. When I started taking math classes at Columbia, the rooms were filled with men who seemed to belittle me, whether they intended to or not. I had gone to the same all girls school from kindergarten through senior year. I was not used to being outnumbered by men in a math setting.
Very quickly, a cycle of insecurity started forming for me. If I didn't understand something, I would notice how I was one of the only few girls, notice how the men in the study halls I was in were treating me (one very literally said to me, "oh, she thinks she has the answer. That's so cute" when I actually did have the answer.) I felt like I was so different from these people, how could I be good at math when you have to be like them to be good at math. The main thing about them was that they were mostly men. Then I would think that maybe I had only thought I was good at math when I was being compared to only girls, in my school. Then I would even start to feel resentful toward my old teachers and peers who made me feel like I had a special gift for math because I now felt they must have been misleading me for some reason.
I had come to college very excited to major in math, and by second semester I wanted to drop it altogether.
I ended up revisiting math again later when I was more receptive. In hindsight I honestly think that the first few years of college instilled a growth mindset in me where there had previously been a fixed one. I struggled for the first time in a while in college, which I think I needed. By my junior year, I think I had enough grit to struggle with math without believing that needing to struggle with it meant I was "bad" at it.
For this reason I also see how there is a strong correlation between fixed mindset and stereotype threat. I can imagine that a growth mindset being instilled could help children weather the effects of stereotype threat--not to mention you really cannot have sustained success without a growth mindset, regardless of stereotype threat.


#include <stddef.h>
#include "../rockx_type.h"
#include "object_detection.h"
Go to the source code of this file.
◆ rockx_object_track()
Track Object (Can use for Face, Head, CarPlate, Object, etc...)
- Parameters
-
| handle | [in] Handle of a created ROCKX_MODULE_OBJECT_TRACK module(created by rockx_create) |
| width | [in] Input image width |
| height | [in] Input image height |
| max_track_time | [in] Max track time (frame count for tracked object disappear) |
| in_track_objects | [in] Object array need to track |
| out_track_objects | [out] tracked object array |
- Returns
- rockx_ret_t


[§463E-12] Rules. The Hawaii medical board shall adopt rules in accordance with chapter 91 for the administration of this chapter. [L 1973, c 80, pt of §1; am L 2008, c 9, §3]


The riemann
project currently contains two public sub-packages:
de.jtem.riemann.schottky
and
de.jtem.riemann.theta.
Both packages implement the current state of research in this field. A third package concerning algebraic curves and coverings is subject of a major refactoring and will be published as soon as possible.
This tutorial gives an introduction to the major functionality of these packages and closes with an example: KP2 Equation - Shallow Water Waves.
This package implements the numerical methods and algorithms presented in [Sch05, Chapter 3] for the evaluation of certain automorphic functions and forms in the context of Schottky uniformization. A classical theorem states that for any Riemann surface R exists a Schottky group G such that is conformally equivalent to the quotient W/G, where W denotes the set of discontinuity of G. A Schottky group is a free, finitely generated, discontinuous group that is purely loxodromic, i.e., a Schottky group of rank N, which equals the genus of the associated Riemann surface, can always be generated by N loxodromic transformations s1,...,sN. Further a loxodromic transformation si can be defined by its fixed points Ai and Bi and the loxodromic factor mi, with |mi|<1.
Thus all Schottky groups of rank N can be associated to a list of 3N complex
values
S = { A1, B1, m1, ... , AN, BN, mN }
which is called the Schottky data. Not any 3N complex numbers define a Schottky group, but there exists a convenient sufficient criterion which is related to the notion of iso-classical Schottky groups. For any loxodromic transformation exists a unique pair of circles having the same radii, which are mapped by the transformation onto each other. These circles are called isometric circles. The differential of the transformation takes on the absolute value 1 one the circle. A Schottky group is called iso-classical if all the isometric circles of the generators are exterior to each other. This can be easily checked for a set of generators and it is easy to see that such a set generates a free, finitely generated, discontinuous group, which is therefore a Schottky group. The exterior of the isometric circles of a classical Schottky group define a fundamental domain for the quotient W/G, i.e., it maps conformally one-to-one to the associated Riemann surface. It is not clear that all Riemann surfaces can be uniformized by a iso-classical Schottky group. Thus, the fact that the numerics only deals with iso-classical Schottky groups means a limitation.
The strength of this approach is that functions and differentials of the
Riemann surface W/G must be
automorphic W. For normalized
differentials of first kind exist closed representations as (-2)-dimensional
Poincare theta series:
where Gn denotes the subgroup of generated by the generator
sn and Gn\G defines the cosets.
Elementary computations deliver further formulas for the integrals of first kind
and the period matrix
where the curly brackets indicate the cross-ratio
.
The series above do not always converge and it is challenging to evaluate them in a stable manner.
The numerics in this package allow the evaluation of several other series:
and
The major drawback of this method is that the series above, which we will simply refer to as Schottky series, do not converge in the general case and that there is no general criteria in sight. However, for many special cases criteria exist.
In [Sch05, Chapter 3] sufficient criteria are presented that can be easily evaluated by a computer. The (integral) series (3), (4), (6), (7), and (8) converge if the limit qW� of the monotonously decreasing series qWk is smaller then 1. The (differential) series (2), (5), and (9) have similar critirea. They converge if the limit of the monotonously decreasing series (qwk ) is smaller than 1. The computation of (q*k ) involves to generate all group elements up to word length l+1. For groups of higher order one should therefore choose carefully how many terms of the series (q*k ) are used to check the criteria. The monotone series (q*k ) converge very fast and in our experience, one should give up if the third term is still not smaller one. The series can only be evaluated stably, if it converges sufficiently fast, which only is the case if the limit is significant smaller then one.
The front-end for the evaluation of the Schottky series is provided by the
class Schottky which extends the class SchottkyData. The main
purpose of the class SchotttkyData is to provide a nice front end to
configure Schottky data and to check whether the data generates a classical
Schottky group. SchottkyData provides a huge variety of methods allowing
the manipulation of a fixed number of generators. We recommend to create the
Schottky data using this class and finally passing the data to an instance of
the evaluation class Schottky. To create the Schottky data
with A, m �C for in the Helicoid He2 you can either write
schottkyData = new SchottkyData(
new Complex[] { A, A.neg(), mu,A.conjugate().neg(), A.conjugate(), mu } )
or configure the object sequentially and write
schottkyData = new SchottkyData( 2 );
schottkyData.setA( 0, A );
schottkyData.setB( 0, A.neg() );
schottkyData.setMu( 0, mu );
schottkyData.setA( 1, A.conjugate().neg() );
schottkyData.setB( 1, A.conjugate() );
schottkyData.setMu( 1, mu );
Before you pass the Schottky data to the evaluator class Schottky, you should check whether the data generates a classical schottky group and call
schottkyData.isClassical().
Otherwise you run the risk of getting a RuntimeException when you pass the data to the evaluator, which you can do at its instanciatino:
schottky = new Schottky( schottkyData );
or afterwards with
schottky.setUniformizationData( schottkyData ).
At this moment some precomputation steps are performed including the generation of all elements of the Schottky group up to word length 2. All other elements are computed and stored in a tree the first time they are needed for the evaluation of a term. Once elements are added to the tree, they are not removed unless the entire instance is destroyed. When the group is changed, i.e., the Schottky data changes, the instances for the group elements are merely updated (but only on demand). This is crucial for the performance, because the tree can get very big. We had examples where we dealt with several hundred thousand group elements. The default accuracy for the evaluation of the Schottky series is 10-7, which is mutable bean property of class Schottky.
Before you start to compute the Schottky series you should assure that the implemented algorithms are able to evaluate them. According to the discussion above we have different criteria for ``differential'' and ``integral'' series, which you can query by calling
schottky.isDifferentialSeriesEvaluable()
and
schottky.isIntegralSeriesEvaluable().
The methods checks for q*l <C, with the default values l=2 and C=0.5. These default values are also mutable properties of the class Schottky, but they should only be altered with care (see discussion above). Now you are ready to evaluate the Schottky series.
To evaluate the period matrix you can simply write
ComplexMatrix B = schottky.getPeriodMatrix().
The Abelian differential wn are nevaluated at the position z in the fundamental domain F by
Complex r = schottky.abelianDifferentialOf1stKind( z, n )
and the integral of first kind by
Complex r = schottky.abelianIntegralOf1stKind( z, n ).
Because of performance reasons the code does not check whether the position z is valid. If the the argument z is in one of the isometric circles the algorithm can fail and the code will throw a RuntimeException, but first it will create the maximum number of possible group elements (default: 200,000). This is certainly to be avoided; if your are not sure that an argument is valid, you should test this with
schottky.isInFundamentalDomain( z )
in forehand.
All methods for evaluating Schottky series are overwritten with versions that allow the prescription of a specific accuracy, e.g. ,
ComplexMatrix B = schottky.getPeriodMatrix( 0.001 )
evaluates the period matrix with an accuracy of 0.001 instead of the default accuracy. A different type of overwritten methods enables to provide an instance for the result, which helps to relieve the garbage collector. The call
schottky.abelianDifferentialOf1stKind( r, z, n )
evaluates wn at z and returns the result in r, for example.
This package implements the methods and algorithms presented in [Sch05, Chapter 3] for computing riemann theta functions including those with characteristics. An important ingredient for the computation of Riemann theta function are modular transformations and Siegel�s Reduction algorithm for which the package also offers public interfaces.
The Riemann theta function is a complex-valued function of g
complex variables and defined by
where z�Cg and B is a symmetric g-dimensional matrix with strictly negative definite real part. Be aware that there are many different conventions of writing the theta functions and that you therefore might have to perform a scaling of the arguments to adapt it to yours.
The complex matrix B is usually the period matrix of a given Riemann surface and computing it is a hole different story. The Schottky uniformization as described in the previous Section offers one way of calculating it.
Suppose you have a valid period matrix B: To evaluate Riemann theta functions create an instance of the central class of this package:
theta = new Theta( B ).
The period matrix is the most important property of the class Theta. You can change it by calling
theta.setPeriodMatrix( B ).
This will trigger some pre-calculation steps. The implementation is optimized to evaluate the Riemann theta function many times for a fixed period matrix. Thus, setting the period matrix takes much longer then evaluating the function. Unfortunately, it is not possible to be more precise, because the expenditure depends on the period matrix (especially its genus) and the configuration of the evaluating instance.
Complex r = theta.theta( z )
evaluates the Riemann theta function at the argument z�Cg. Following the philosophy of the whole project, there exist also overloaded methods which allow to prescribe the result as a parameter:
theta.theta( z, r ).
These functions are not particularly useful because the Riemann theta function
grows exponentially and in practice you might easily leave the range of the
double precession representation. It is therefore necessary to separate the
exponential growth from the oscillating part of the function:
,
with f(z|B) being a quadratic function in z, see [Sch05, Chapter 3].
theta.theta( z, f, o )
evaluates the Riemann theta function in the form from above with
f=f(z|B)
and o=qS(z|B).
The accuracy of the evaluation always refers to the oscillating part o
only and is by default 10-7.
In almost all applications theta functions are used to compute Abelian functions,
which can be expressed as ratios of theta functions. Thus, the exponential
factors usually almost cancel. Typical examples are of the form:
Since the vectors a,b�Cg are relatively small the exponential factor is about 1. An implementation of this function could look like:
package helicoid.example;
import mfc.field.Complex;
import blas.ComplexMatrix;
import blas.ComplexVector;
import riemann.theta.Theta;
public class SimpleAbelianFunction {
ComplexMatrix B;
ComplexVector a, b;
Theta theta;
public SimpleAbelieanFunction( ComplexMatrix B,
ComplexVector a,
ComplexVector b ) {
this.B = new ComplexMatrix(B);
this.a = new ComplexVector(a);
this.b = new ComplexVector(b);
theta=new Theta(B);
}
public Complex valueAt( ComplexVector z ) {
theta.theta( z.plus(a), f_a, o_a );
theta.theta( z.plus(b), f_b, o_b );
return Complex.exp( f_a.miuns( f_b ) ).times( o_a ).divide( o_b );
}
}
The implementation is not optimal if the function needs to be evaluated many times, because it creates six unnecessary instances for intermediate results. This can be avoided by using the mutable programming style, see de.jtem.mfc.
The API also offers functions for the first and second derivative of the theta function with respect to z.
Complex r = dTheta.theta( z, X )
computes the partial derivative of theta in direction of X.
Again this method is overloaded by a version that separates the exponential
growth of the derivative from the oscillating part:
with f being the same quadratic function as for the Riemann theta function itself.
dTheta.theta( z, X, f, o, dxo )
evaluates the function and the derivative simultaneously with f=f(z|B), o=qS(z|B), and dxo=(DXq)S(z|B). Evaluating the function causes almost no extra cost and in many applications, e.g., logarithmic derivatives, you need the function value in addition to its derivative. Evaluating the second derivative works similar.
The error estimates for the derivative of the Riemann theta function are much more complicated than for the function itself. Therefore, we implemented the derivatives of the approximation instead of approximating the derivative. In almost 10 years experience in computing theta functions we never encountered any practical problems caused by inaccuracies of the derivatives, but in theory badly conditioned scenarios are likely to occur for large arguments z.
There are three important boolean properties that configure the evaluation algorithm of the Riemann theta function:
By default all properties are set to true, but in certain situations different configurations may lead to better results.
The fill factor error (FFE) is a heuristic value to sharpen the error estimates for theta functions, which can drastically reduce the number of terms needed to approximate the oscillating part, see [DHB+04] for details. The drawback of using the FFE is that the prescribed accuracy is not guaranteed anymore. Tests have shown that in practice the FFE is usually good enough. When accuracy is your concern rather than performance you might want to set this property to false.
The second property allow for the choice between uniform and pointwise approximation. For genus smaller than five uniform approximation is usually faster than pointwise. For higher genus pointwise approximation seems better, but that always depends on the specific case. The uniform approximation consumes some pre-calculation time, thus, if you only need to evaluate the theta function a few times for a fixed period matrix the pointwise approximation can also perform better for small genus. If performance is an important issue in your application you should try both possibilities; consult [Sch05, Chapter 3, Section 3.3] for a more complete discussion.
The last propertiy controls whether Siegel's reduction algorithm is performed when the period matrix is set. Switching it off is only sensible in situations where you already know that your period matrix is not reducible by Siegel's algorithm. But this will only have a significant impact if you have no more than a few function evaluations for a fixed period matrix.
We like to give an example implementation which combines the capabilities of the de.jtem.riemann.schottky and de.jtem.riemann.theta packages.
Figure: Snap-shot of a webstart application visualizing shallow water waves computed as solutions of the KP2 equation using Schottky uniformization as described above. The application was generated using Java Oorange. The 3D-graphics utilizes jReality. This and other applications using the jtem library can be downloaded from http://www.math.tu-berlin.de/geometrie/lab/ .
To start the java webstart application click onto the image.
The equations
4uxt + 3(u2)xx ± uxxxx - 3uyy = 0
discovered by Kadomtsev & Petviashvili (KP) are a generalization of the Korteweg & deVries (KdV) equation. For positive sign of the uxxxx term it is called KP2 equation. Solutions of the KP2 equation describe the evolution of gravity-induced waves of moderate amplitude on shallow water of uniform depth when the waves are nearly one-dimensional.
For Schottky data
S = { A1, B1, m1, ... , AN BN, mN }
with
Bi=Ai
and
mi�R yield all real
non-singular finite-gap solutions of the KP2 equation and can be described by
Krichever's formula
The parameters in this formula can be given by Poincare series. It is
U=Vn,1, V=Vn,2, and W=Vn,3 with
and
and D is an arbitrary imaginary vector [BBE+94] .
The code below shows an implementation of this solution using the efficient mutable programming style, see de.jtem.mfc .
package de.jtem.riemann.example;
import mfc.field.Complex;
import riemann.schottky.*;
import riemann.theta.*;
import blas.*;
public class KP2 {
Schottky schottky;
Theta theta;
ComplexVector U, V, W, Z, T;
Complex c;
public KP2( Complex [] A, double [] mu, double eps ) {
SchottkyData data = new SchottkyData( A.length
);
for( int i=0; i<A.length; i++ ) {
data.setA( i, A[i] );
data.setB( i, A[i].conjugate() );
data.setMu( i, mu[i], 0 );
}
if( !schottkyData.isClassical() )
throw new IllegalArgumentException
( "schottky data is not classical");
schottky = new Schottky( schottkyData, eps );
if( !schottky.isSeriesEvaluable() )
throw new IllegalArgumentException( "can not evaluate series");
U = schottky.getV();
V = schottky.getV(2);
W = schottky.getV(3);
c = schottky.gamma();
Z = new ComplexVector( U.size() );
T = new ComplexVector( U.size() );
Theta theta = new Theta( schottky.getPeriodMatrix(), eps );
}
public Complex valueAt( double x, double y,
double t ) {
Z.assignTimes( U, x );
T.assignTimes( V, y ); Z.assignPlus( T );
T.assignTimes( W, t ); Z.assignPlus( T );
Complex result = theta.ddLogTheta( Z, U, U );
result.assignPlus(c);
result.assignTimes(2);
return result;
}
}
[BBE+94] E.D. Belokolos, A. I. Bobenko, V. Z. Enol'skii, A. R. Its, and V. B. Matveev. Algebro-Geometric Approach to Nonlinear Integrable Equations. Nonlinear Dynamics. Springer Verlag, 1994.
[DHB+04] B. Deconinck, M. Heil, A. I. Bobenko, M. van Hoeij, and M. Schmies. Comput Riemann theta Functions. Math. Comp., 73(247):1417-1442 (electronic) 2004. (.pdf)
[Dub81] B. A. Dubrovin. Theta functions and non-linear equations. Russ. Math. Surv., 36(2):11-92, 1981.
[Kri78] I. M. Krichever. Algebraic curves and non-linear difference equations. Russ. Math. surv., 33(4):255-256, 1978.
[Sch05] M. Schmies. Computational Methods for Riemann Surfaces and Helicoids with Handles. PhD thesis, Technische Universit�t Berlin, 2005. (.pdf)
Markus Schmies 2006-01-14


E-Learning Content Lead
Today, only 1 percent of eligible refugees have access to higher education, compared to 36 percent of global youth. This limits their potential to become self reliant, integrate and contribute in their host communities and to help reconstruct their country to make it when they return home.
Mosaik Education designs with the refugee community and leverages technology to support refugees accessing university through skills, guidance and finance programmes.
Mosaik Education is working at the forefront of innovation in refugee education: we are seeking to bring about systemic change that empowers a community of refugees and civil society to shape and lead education through open education models, technology, participatory design and community leadership. You will join a diverse, ambitious and talented team working to improve education opportunities for refugees.
The role
We are looking for an exceptionally talented and highly motivated candidate to design and manage the online content of our Guidance Programme. Mosaik Guidance Programme aims to support refugees to gain the skills and knowledge necessary to evaluate and access higher education opportunities, all of which are delivered in close cooperation with local community organisations and refugee-led student groups. As part of this programme and In collaboration with local community organisations, Mosaik delivers a series of ‘blended’ academic guidance workshops that use interactive online content hosted on MoodleCloud.
You will be part of a team, tightly collaborating with the lead content creator and with the programme manager. You are expected to:
- lead the management of the online learning management system (MoodleCloud)
- create guides and other documents in Arabic such as tutorials and activity sheets for the participants, and training material for the facilitators and the peer mentors
- contribute to the identification of relevant OERs (Open Educational Resources) to be included in the curriculum
- provide remote support to local partners during the student onboarding process (on the web and using the mobile phone)
- support the use of collaborative tools such as forums and virtual meetings
- provide timely technical support to the users as they access the platform during the delivery of the program
- review and edit content and local facilitator training following initial implementation of the programme
- report to the programme manager and provide statistics on the use of the LMS
About you
- You hold a bachelor degree in a relevant discipline such as in Education, Curriculum Design, Instructional Design, International Development or other related fields.
- Significant experience in designing and delivering online and blended learner-centered learning programs for audiences with limited IT literacy and limited connectivity.
- Knowledge of the principles of learning including adult learning, experiential learning, participatory methods, and Socio-constructivism.
- Significant experience in LMS administration, specifically, creating and managing content on Moodle and managing participant.
- Experience in multimedia production, graphic design, is a significant advantage.
- Confident working collaboratively in a remote team.
- Confident working to deadlines under pressure.
- Professional fluency in Arabic and English essential.
- Experience of education programming in for refugees/marginalised communities in a development/ humanitarian context is a significant advantage.
- Knowledge of the challenges facing refugees in accessing higher education a significant advantage.
Location
Remote working.
Contract
Consultancy contract: equivalent of 0.4 equivalent of F/T for up to 4 months, with potential for extension; to start ASAP.
Get in touch
Apply by 12 April by submitting a cover letter, CV and consultancy day rate to<EMAIL_ADDRESS>talented candidates are encouraged to submit applications ASAP for early review.


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