Carlos Romulo P. Maralit
Student at
STI Computer College Lipa
Still working for himself
Education
PILMES (padre imo luna memorial elemetary school)
Memang Lakan 2016
SJA (saint josepgh academy)
I join math competing, and pass the first round.
Champion on 100m running on entrams
First time failed on grades when i was fourth year
AMA(i dont know -_-)
Stdent teacher when i was g12
One of best programmer of the year award
Best website (thesis project)
STI College Batangas
I joined coding competition when i was first year (last rank -_-)
I left my previous college school
STI College Lipa
Doing solo on where I am now
School Attended
Date
School
2010-2016
Elemtary Student
2016-2020
Higschool
My Skills
Language
Ratings
CSS 3
★☆☆☆☆☆
Python
☆☆☆☆☆☆
Python
☆☆☆☆☆☆
Python
☆☆☆☆☆☆
Language
Ratings
HTML 5
★☆☆☆☆☆
JAVA
★★☆☆☆☆
Python
☆☆☆☆☆☆
Python
☆☆☆☆☆☆
My Hobbies
Contact Me!


--- date: 2010-03-13T00:00:00Z published: true title: Some Geo-location web links url: /2010/03/13/some-geo-location-web-links/ ---
Found a couple of these lately - not sure how good they are but they look interesting:
Entering The Wonderful World of Geo Location - Smashing Magazine
Getting Started with Yahoo! GeoPlanet Explorer | Carsonified


A local class is a named nested class declared inside a code block. Local classes are uncommon and may therefore be confusing. In addition, some code standards discourage the use of local classes.
Example:
void test() {
class Local { // local class
}
new Local();
}


The Initiative for Digital Transformation (IDT) serves as a research platform on the fundamental issues and dynamics underlying the ability of enterprises to leverage their potential for digital technology-driven organizational change.
© 2015 - 2020 | Initiative for Digital Transformation
Imprint | Privacy


Because we are crazy about pizza
Special sauce,lots of cheese,olives ,tomato,,pepperoni
mushroom,specialsauce,capsicum,tomato,sweet corn,onions,olives,cheese
special sauce,bbq chicken,cheese,tomato,capsicum
Special sauce,tandoori chicken,olives,cheese,masala,capsicum,tomato
Special sauce,tandoori,lots ofcheese,sausage,,capsicum
Pepperoni, specialsauce,tomatocapsicum,black olives


Reverse horror game Carrion comes to Xbox One and PC in 2020
by Stefan LThe reverse horror of Carrion is coming to Xbox One and PC in 2020, Devolver Digital and Phobia Game Studio have announced today. Previously for “consoles and PC” when the game was first revealed at E3 2019, they’ve now narrowed the console side of things down to Microsoft’s lean green machine*.
Looking like classic 80s horror film The Thing played out in reverse, you play as an amorphous blob and tentacle monster of unknown origin that manages to break out of confinement in a shady facility. You tear the place apart, hunting and consuming the humans that you come across, spreading fear and panic as you go. You’ll grow and evolve as you progress, but you’ll also have to face increasingly difficult humans that try to defend themselves and turn the tables on your with flamethrowers and more.
Seriously, it sounds fab. You’ll be able to go hands on with it this week, if you head to XO19 in London, which is running from Thursday 14th to Saturday 16th November.
It’s a shame that it’s restricted to Xbox One and PC, but hopefully we’ll see it shoot out some gruesome tentacles to consume PlayStation 4 and Switch in due course.
*Actual colours are white or black as standard. Leanness requires Xbox One S or X.
Source: press release


Your Experiences
Return to Home
Log a new experience!
Country
Rating
5: Amazing!
4: Great!
3: Pretty Cool
2: Eh...
1: FUBAR


Hours in a year. How many hours are in a year?
Minutes in a decade. How many minutes are in a decade?
Your age in seconds. How many seconds old are you?
Cristina Tarantino: 32 yesterday! How many milliseconds old is she?
How many days does it take for a 32-bit system to timeout, if it has a bug with integer overflow?
How about a 64-bit system?
Calculate your age accurately based on your birthday
(maybe use time of day e.g. 8:23am if you know it, use 12:00 noon midday) -
you will need JavaScript DateTime functionality.
| Years: | Months: | Days: |
Music A 440 Hz 1 octave is double the frequency tempered piano A' 880 Hz Calculate and console.log the frequency each of the 12 notes between A and A' Hint: the notes are NOT in a linear scale, but in a geometric scale
| Note | Frequency in Hz |
| A | 440 |
| A# | |
| B | |
| C | |
| C# | |
| D | |
| D# | |
| E | |
| F | |
| F# | |
| G | |
| G# | |
| A' | 880 |
Planets Calculate and console log how many 'minutes' the Moon travels in a day. Hint: first calculate how many degrees the Moons travels in the sky when the Earth returns to the same position during its daily rotation.
Full name greeting. Write a program that asks for a person’s first name, then middle, and then last. Finally, it should greet the person using their full name.
| Welcome to 1mwtt |
Bigger, better favorite number. Write a program that asks for a person’s favorite number. Have your program add 1 to the number, and then suggest the result as a bigger and better favorite number. (Do be tactful about it, though.)
Angry boss. Write an angry boss program that rudely asks what you want.  For example, if you type in I want a raise, it should yell back like this: ``` WHADDAYA MEAN "I WANT A RAISE"?!? YOU'RE FIRED!! ```
Table of contents. Here’s something for you to do in order to play around more with center, ljust, and rjust: write a program that will display a table of contents so that it looks like this: Table of Contents Chapter 1: Getting Started page 1 Chapter 2: Numbers page 9 Chapter 3: Letters page 13 Optional: in JS we may prefer to 'print' these to the HTML file itself rather than the console.
Table of Contents:
Random number between 1 and 10?
Random number between 1 and 100?
Random number between 1930 and 1950?
Then try to generate your random Civilization III world by generating a land 'X' tile or a water 'o' tile randomly: - oooXXXoo - oooXoXoo - XXXooXoo


Cloud Service
Publish a service or data residing behind a firewall in a secure and controlled manner as a Cloud Service.
Go to Cloud Services...
Read more (docs)...


Logs and troubleshooting
読む時間の目安: 17 分This page contains information on how to diagnose and troubleshoot problems, send logs and communicate with the Docker Desktop team, use our forums and Knowledge Hub, browse and log issues on GitHub, and find workarounds for known problems.
Troubleshoot
Choose > Troubleshoot from the menu bar to see the troubleshoot options.
The Troubleshoot page contains the following options:
-
Restart Docker Desktop: Select to restart Docker Desktop.
-
Run Diagnostics: Select this option to diagnose any issues on Docker Desktop. For detailed information about diagnostics, see Diagnose problems, send feedback, and create GitHub issues.
-
Clean / Purge data: Select this option to delete container and image data. Choose whether you’d like to delete data from Hyper-V, WSL 2, or Windows Containers and then click Delete to confirm.
-
Reset Kubernetes cluster: Select this option to delete all stacks and Kubernetes resources. For more information, see Kubernetes.
-
Reset to factory defaults: Choose this option to reset all options on Docker Desktop to their initial state, the same as when Docker Desktop was first installed.
Diagnose problems, send feedback, and create GitHub issues
In-app diagnostics
If you experience issues for which you do not find solutions in this documentation, on Docker Desktop for Windows issues on GitHub, or the Docker Desktop for Windows forum, we can help you troubleshoot the log data.
Choose > Troubleshoot from the menu.
When the Diagnose & Feedback window initiated, it starts collecting diagnostics. When the diagnostics are available, you can upload them and obtain a Diagnostic ID, which must be provided when communicating with the Docker team. For more information on our policy regarding personal data, see how is personal data handled in Docker Desktop.
If you click on Report an issue, it opens Docker Desktop for Windows issues on GitHub in your web browser in a “New issue” template, to be completed before submission. Do not forget to include your diagnostic ID.
Diagnosing from the terminal
On occasions it is useful to run the diagnostics yourself, for instance if Docker Desktop for Windows cannot start.
First locate the com.docker.diagnose
, that should be in C:\Program
Files\Docker\Docker\resources\com.docker.diagnose.exe
.
To create and upload diagnostics in Powershell, run:
PS C:\> & "C:\Program Files\Docker\Docker\resources\com.docker.diagnose.exe" gather -upload
After the diagnostics have finished, you should have the following output, containing your diagnostic ID:
Diagnostics Bundle: C:\Users\User\AppData\Local\Temp\CD6CF862-9CBD-4007-9C2F-5FBE0572BBC2\20180720152545.zip
Diagnostics ID: CD6CF862-9CBD-4007-9C2F-5FBE0572BBC2/20180720152545 (uploaded)
Troubleshooting topics
Make sure certificates are set up correctly
Docker Desktop ignores certificates listed under insecure registries, and
does not send client certificates to them. Commands like docker run
that
attempt to pull from the registry produces error messages on the command line,
like this:
Error response from daemon: Get http://<IP_ADDRESS>:5858/v2/: malformed HTTP response "\x15\x03\x01\x00\x02\x02"
As well as on the registry. For example:
2017/06/20 18:15:30 http: TLS handshake error from <IP_ADDRESS>:52882: tls: client didn't provide a certificate
2017/06/20 18:15:30 http: TLS handshake error from <IP_ADDRESS>:52883: tls: first record does not look like a TLS handshake
For more about using client and server side certificates, see How do I add custom CA certificates? and How do I add client certificates? in the Getting Started topic.
Volumes
Permissions errors on data directories for shared volumes
Docker Desktop sets permissions on shared volumes
to a default value of 0777
(read
, write
, execute
permissions for user
and for group
).
The default permissions on shared volumes are not configurable. If you are working with applications that require permissions different from the shared volume defaults at container runtime, you need to either use non-host-mounted volumes or find a way to make the applications work with the default file permissions.
See also, Can I change permissions on shared volumes for container-specific deployment requirements? in the FAQs.
Volume mounting requires shared folders for Linux containers
If you are using mounted volumes and get runtime errors indicating an application file is not found, access is denied to a volume mount, or a service cannot start, such as when using Docker Compose, you might need to enable shared folders.
Volume mounting requires shared folders for Linux containers (not for Windows containers). Click and then Settings > Shared Folders and share the folder that contains the Dockerfile and volume.
Support for symlinks
Symlinks work within and across containers. To learn more, see How do symlinks work on Windows? in the FAQs.
Avoid unexpected syntax errors, use Unix style line endings for files in containers
Any file destined to run inside a container must use Unix style \n
line
endings. This includes files referenced at the command line for builds and in
RUN commands in Docker files.
Docker containers and docker build
run in a Unix environment, so files in
containers must use Unix style line endings: \n
, not Windows style: \r\n
.
Keep this in mind when authoring files such as shell scripts using Windows
tools, where the default is likely to be Windows style line endings. These
commands ultimately get passed to Unix commands inside a Unix based container
(for example, a shell script passed to /bin/sh
). If Windows style line endings
are used, docker run
fails with syntax errors.
For an example of this issue and the resolution, see this issue on GitHub: Docker RUN fails to execute shell script.
Virtualization
Your machine must have the following features for Docker Desktop to function correctly:
-
Hyper-V installed and working
-
Virtualization enabled in the BIOS
Hyper-V
Docker Desktop requires Hyper-V as well as the Hyper-V Module for Windows Powershell to be installed and enabled. The Docker Desktop installer enables it for you.
Docker Desktop also needs two CPU hardware features to use Hyper-V: Virtualization and Second Level Address Translation (SLAT), which is also called Rapid Virtualization Indexing (RVI). On some systems, Virtualization must be enabled in the BIOS. The steps required are vendor-specific, but typically the BIOS option is called Virtualization Technology (VTx)
or something similar. Run the command systeminfo
to check all required Hyper-V features. See Pre-requisites for Hyper-V on Windows 10 for more details.
To install Hyper-V manually, see Install Hyper-V on Windows 10. A reboot is required after installation. If you install Hyper-V without rebooting, Docker Desktop does not work correctly.
From the start menu, type Turn Windows features on or off and press enter. In the subsequent screen, verify that Hyper-V is enabled:
Hyper-V driver for Docker Machine
The Docker Desktop installation includes the legacy tool Docker Machine which uses the old
boot2docker.iso
,
and the Microsoft Hyper-V driver to create local
virtual machines. This is tangential to using Docker Desktop, but if you want to use Docker Machine
to create multiple local Virtual Machines (VMs), or to provision remote machines, see the
Docker Machine topics. This is documented only for users looking for information about Docker Machine on Windows, which requires that Hyper-V is enabled, an external network switch is active, and referenced in the flags for the docker-machine create
command
as described in the Docker Machine driver example.
Virtualization must be enabled
In addition to Hyper-V or WSL 2, virtualization must be enabled. Check the Performance tab on the Task Manager:
If you manually uninstall Hyper-V, WSL 2 or disable virtualization, Docker Desktop cannot start. See Unable to run Docker for Windows on Windows 10 Enterprise.
Networking and WiFi problems upon Docker Desktop for Windows install
Some users may experience networking issues during install and startup of Docker Desktop. For example, upon install or auto-reboot, network adapters and/or WiFi may get disabled. In some scenarios, problems are due to having VirtualBox or its network adapters still installed, but in other scenarios this is not the case. See the GitHub issue Enabling Hyper-V feature turns my wi-fi off.
Here are some steps to take if you experience similar problems:
-
Ensure virtualization is enabled, as described above in Virtualization must be enabled.
-
Ensure Hyper-V is installed and enabled, as described above in Hyper-V must be enabled.
-
Ensure DockerNAT is enabled by checking the Virtual Switch Manager on the Actions tab on the right side of the Hyper-V Manager.
-
Set up an external network switch. If you plan at any point to use Docker Machine to set up multiple local VMs, you need this anyway, as described in the topic on the Hyper-V driver for Docker Machine. You can replace
DockerNAT
with this switch. -
If previous steps fail to solve the problems, follow steps on the Cleanup README.
Read the full description before you run the Windows cleanup script.
The cleanup command has two flags,
-Cleanup
and-ForceDeleteAllSwitches
. Read the whole page before running any scripts, especially warnings about-ForceDeleteAllSwitches
. {: .warning}
Windows containers and Windows Server
Docker Desktop is not supported on Windows Server. If you have questions about how to run Windows containers on Windows 10, see Switch between Windows and Linux containers.
A full tutorial is available in docker/labs on Getting Started with Windows Containers.
You can install a native Windows binary which allows you to develop and run Windows containers without Docker Desktop. However, if you install Docker this way, you cannot develop or run Linux containers. If you try to run a Linux container on the native Docker daemon, an error occurs:
C:\Program Files\Docker\docker.exe:
image operating system "linux" cannot be used on this platform.
See 'C:\Program Files\Docker\docker.exe run --help'.
Limitations of Windows containers for localhost
and published ports
Docker Desktop for Windows provides the option to switch Windows and Linux containers. If you are using Windows containers, keep in mind that there are some limitations with regard to networking due to the current implementation of Windows NAT (WinNAT). These limitations may potentially resolve as the Windows containers project evolves.
Windows containers work with published ports on localhost beginning with Windows 10 1809 using Docker Desktop for Windows as well as Windows Server 2019 / 1809 using Docker EE.
If you are working with a version prior to Windows 10 18.09
, published ports on Windows containers have an issue with loopback to the localhost. You can only reach container endpoints from the host using the container’s IP and port. With Windows 10 18.09
, containers work with published ports on localhost.
So, in a scenario where you use Docker to pull an image and run a webserver with a command like this:
> docker run -d -p 80:80 --name webserver nginx
Using curl http://localhost
, or pointing your web browser at
http://localhost
does not display the nginx
web page (as it would do with
Linux containers).
To reach a Windows container from the local host, you need to specify the IP address and port for the container that is running the service.
You can get the container IP address by using docker inspect
with some --format
options
and the ID or name of the container. For the example above, the command would
look like this, using the name we gave to the container (webserver
) instead of
the container ID:
$ docker inspect \
--format='{{range .NetworkSettings.Networks}}{{.IPAddress}}{{end}}' \
webserver
This gives you the IP address of the container, for example:
$ docker inspect \
--format='{{range .NetworkSettings.Networks}}{{.IPAddress}}{{end}}' \
webserver
<IP_ADDRESS>
Now you can connect to the webserver by using http://<IP_ADDRESS>:80
(or simply
http://<IP_ADDRESS>
, since port 80
is the default HTTP port.)
For more information, see:
-
Docker Desktop for Windows issue on GitHub: Port binding does not work for locahost
Running Docker Desktop in nested virtualization scenarios
Docker Desktop can run inside a Windows 10 VM running on apps like Parallels or VMware Fusion on a Mac provided that the VM is properly configured. However, problems and intermittent failures may still occur due to the way these apps virtualize the hardware. For these reasons, Docker Desktop is not supported in nested virtualization scenarios. It might work in some cases, and not in others.
For best results, we recommend you run Docker Desktop natively on a Windows system (to work with Windows or Linux containers), or on Mac to work with Linux containers.
If you still want to use nested virtualization
-
Make sure nested virtualization support is enabled in VMWare or Parallels. Check the settings in Hardware > CPU & Memory > Advanced Options > Enable nested virtualization (the exact menu sequence might vary slightly).
-
Configure your VM with at least 2 CPUs and sufficient memory to run your workloads.
-
Make sure your system is more or less idle.
-
Make sure your Windows OS is up-to-date. There have been several issues with some insider builds.
-
The processor you have may also be relevant. For example, Westmere based Mac Pros have some additional hardware virtualization features over Nehalem based Mac Pros and so do newer generations of Intel processors.
Typical failures we see with nested virtualization
-
Slow boot time of the Linux VM. If you look in the logs and find some entries prefixed with
Moby
. On real hardware, it takes 5-10 seconds to boot the Linux VM; roughly the time between theConnected
log entry and the* Starting Docker ... [ ok ]
log entry. If you boot the Linux VM inside a Windows VM, this may take considerably longer. We have a timeout of 60s or so. If the VM hasn’t started by that time, we retry. If the retry fails we print an error. You can sometimes work around this by providing more resources to the Windows VM. -
Sometimes the VM fails to boot when Linux tries to calibrate the time stamp counter (TSC). This process is quite timing sensitive and may fail when executed inside a VM which itself runs inside a VM. CPU utilization is also likely to be higher.
-
Ensure “PMU Virtualization” is turned off in Parallels on Macs. Check the settings in Hardware > CPU & Memory > Advanced Settings > PMU Virtualization.
Related issues
Discussion thread on GitHub at Docker for Windows issue 267.
Networking issues
IPv6 is not (yet) supported on Docker Desktop.
Some users have reported problems connecting to Docker Hub on the Docker Desktop stable version. (See GitHub issue 22567.)
Here is an example command and error message:
> docker run hello-world
Unable to find image 'hello-world:latest' locally
Pulling repository docker.io/library/hello-world
C:\Program Files\Docker\Docker\Resources\bin\docker.exe: Error while pulling image: Get https://index.docker.io/v1/repositories/library/hello-world/images: dial tcp: lookup index.docker.io on <IP_ADDRESS>:53: no such host.
See 'C:\Program Files\Docker\Docker\Resources\bin\docker.exe run --help'.
As an immediate workaround to this problem, reset the DNS server to use the
Google DNS fixed address: <IP_ADDRESS>
. You can configure this through the Settings
Network dialog, as described in the topic Network. Docker automatically restarts when you apply this setting, which could take some time.
NAT/IP configuration
By default, Docker Desktop uses an internal network prefix of
<IP_ADDRESS>/24
. Should this clash with your normal network setup, you can change
the prefix from the Settings menu. See the Network topic
under Settings.
Workarounds
Reboot
Restart your PC to stop / discard any vestige of the daemon running from the previously installed version.
Unset DOCKER_HOST
The DOCKER_HOST
environmental variable does not need to be set. If you use
bash, use the command unset ${!DOCKER_*}
to unset it. For other shells,
consult the shell’s documentation.
Make sure Docker is running for webserver examples
For the hello-world-nginx
example and others, Docker Desktop must be
running to get to the webserver on http://localhost/
. Make sure that the
Docker whale is showing in the menu bar, and that you run the Docker commands in
a shell that is connected to the Docker Desktop Engine (not Engine from Toolbox). Otherwise, you might start the webserver container but get a “web page
not available” error when you go to docker
.
How to solve port already allocated
errors
If you see errors like Bind for <IP_ADDRESS>:8080 failed: port is already allocated
or listen tcp:<IP_ADDRESS>:8080: bind: address is already in use
...
These errors are often caused by some other software on Windows using those
ports. To discover the identity of this software, either use the resmon.exe
GUI and click “Network” and then “Listening Ports” or in a Powershell use
netstat -aon | find /i "listening "
to discover the PID of the process
currently using the port (the PID is the number in the rightmost column). Decide
whether to shut the other process down, or to use a different port in your
docker app.
Docker Desktop fails to start when anti-virus software is installed
Some anti-virus software may be incompatible with Hyper-V and Microsoft Windows 10 builds. The conflict typically occurs after a Windows update and manifests as an error response from the Docker daemon and a Docker Desktop start failure.
For a temporary workaround, uninstall the anti-virus software, or explore other workarounds suggested on Docker Desktop forums.
windows, troubleshooting, logs, issues


bootstrap当今世界最受欢迎的构建响应式页面的框架，以移动端样式优先考虑。样式文件中会重置掉浏览器默认的样式设置，如padding，margin。 来统一不同浏览器之间的渲染差异。
Keep your projects lean, responsive, and maintainable so you can deliver the best experience and focus on more important jobs.
Breakpoints are customizable widths that determine how your responsive layout behaves across device or viewport sizes in Bootstrap.


Stories
Wiki Loves Monuments 2016 statistics
In 2016, Wiki Loves Monuments (WLM) was a top ranking Wikimedia community initiative in terms of attention raised. In this post,…
Winners of Wiki Loves Monuments 2017 in Iran
We are thrilled to announce the 10 winning photos of Wiki Loves Monuments 2017 in Iran. These photos are selected…
Wiki Loves Monuments banner contest
Wikivoyage, a free travel guide everyone can edit, is one of Wikimedia sister projects. High-quality illustrations are central to a…


Realme X2 Pro "blind order" sale starts in India on November 18
by VladThe Realme X2 Pro will be officially introduced in India on November 20, but since the phone has already been launched elsewhere, it's not really a mystery anymore. The only missing detail is the pricing for the subcontinent, basically.
If you're already excited about the device and want to be among the first people in India to get one, you can participate in Realme's "blind order" sale. Here's what this entails.
On November 18, you visit the official website, login, and follow the steps on the blind order page to pay INR 1,000 as a deposit. This ensures 100% that you will be able to purchase one of the units in the first batch, that is specifically set aside for this order process.
The batch consists of just 855 devices, because Snapdragon 855 - get it? The X2 Pro is Realme's first phone to boast flagship specs. Anyway, then on November 20 to 21 you will have to pay the remaining balance due - the difference between the price of the version you picked and the INR 1,000 you already paid. As soon as you settle the balance, the phone will be shipped to you, so if you're fast and do that on November 20, it will be dispatched on the same day.
This, presumably, means you'll have your X2 Pro in your hands before the first normal, general sale is even available for other people.
The Realme X2 Pro boasts a 4,000 mAh battery that charges from 0 to 100% in just 35 minutes using SuperVOOC Flash Charge. The in-display fingerprint sensor unlocks the phone in just 0.23 seconds, while the device also has dual stereo speakers, a 64 MP primary rear camera, an 8 MP ultrawide, a 13 MP telephoto lens, and a 2 MP depth sensor. For selfies you get a 16 MP cam, and the software is Android 9 Pie with ColorOS on top.


Installing the MongoDB C Driver
The following guide will step you through the process of downloading, building, and installing the current release of the MongoDB C Driver.
Supported Platforms
The MongoDB C Driver currently supports the following operating systems and CPU architectures.
Operating Systems |
CPU Architectures |
Compiler Toolchain |
|
|
|
Installing from Source
The following instructions are for UNIX-like systems such as GNU/Linux, FreeBSD, and Solaris. To build on Windows, see the instructions for Building on Windows.
The most recent release of the mongo-c-driver is 1.0.0 and can be downloaded here. The following snippet will download and extract the current release of the driver.
$ wget https://github.com/mongodb/mongo-c-driver/releases/download/1.0.0/mongo-c-driver-1.0.0.tar.gz $ tar -xzf mongo-c-driver-1.0.0.tar.gz $ cd mongo-c-driver-1.0.0/
Minimal dependencies are needed to build the MongoDB C driver. Optionally, if you want Kerberos (GSSAPI) or SSL support, you need to install libsasl2 and OpenSSL libraries and development headers respectively.
Make sure you have access to a supported toolchain such as GCC, Clang, SolarisStudio, or MinGW. Optionally, pkg-config can be used if your system supports it to simplify locating proper compiler and linker arguments when compiling your program.
The following will configure for a typical 64-bit Linux system such as RedHat Enterprise Linux 6 or CentOS 6. Note that not all systems place 64-bit libraries in /usr/lib64. Check your system to see what the convention is if you are building 64-bit versions of the library.
./configure --prefix=/usr --libdir=/usr/lib64
If you require SSL add --enable-ssl to the above configuration. This will require the openssl-devel on RedHat Entrprise Linux. Other Linux-based operating systems may have another name for this package such as libssl-dev on Debian.
If you require Kerberos add --enable-sasl to the above configuration. This will require the cyris-sasl-devel on RedHat Entrprise Linux. Other Linux-based operating systems may have another name for this package.
If configure completed successfully, you'll see something like the following describing your build configuration.
libmongoc was configured with the following options: Build configuration: Enable debugging (slow) : no Compile with debug symbols (slow) : no Enable GCC build optimization : yes Enable automatic binary hardening : yes Code coverage support : no Cross Compiling : no Fast counters : no SASL : sasl2 SSL : yes Libbson : bundled Documentation: Generate man pages : yes Install man pages : yes
We can now build the driver with the venerable make program.
$ make
You can optionally build code objects in parallel using the -j option to GNU make. Some implementations of make do not support this option, such as Sun's make on Solaris 10. To build in parallel on an 8 core machine, you might use:
$ gmake -j8
To install the driver, we use make with the install target.
$ sudo make install
On systems that do not support the sudo command, we can use su -c 'make install'.
Installing on Solaris 10
MongoDB provides two ways to install the MongoDB C driver on Solaris 10. You can either build the driver yourself from a source code release, or install the precompiled binary driver as provided by MongoDB as follows.
Binary releases of the MongoDB C driver include support for both 32-bit and 64-bit architectures for both i386 and sparc.
Solaris 11 packaging is not compatible with Solaris 10. For Solaris 11, please follow the directions to build the driver yourself.
The following commands will download the most recent MongoDB binary release and install it using the pkgadd command on Solaris 10.
$ bash bash-3.2$ export ARCH=`uname -m` bash-3.2$ /usr/sfw/bin/wget --no-check-certificate "https://github.com/mongodb/mongo-c-driver/releases/download/1.0.0/MONGOmongo-c-driver-1.0.0.${ARCH}.pkg.tar.gz" bash-3.2$ gunzip -c "MONGOmongo-c-driver-1.0.0.${ARCH}.pkg.tar.gz" | tar -xf - bash-3.2$ pkgadd -d . MONGOmongo-c-driver
Building on Windows
Building on Windows requires Windows Vista or newer and Visual Studio 2010 or newer. Additionally, cmake is required to generate Visual Studio project files.
Let's start by generating Visual Studio project files for libbson, a dependency of the C driver. The following assumes we are compiling for 64-bit Windows using Visual Studio 2010 Express which can be freely downloaded from Microsoft.
cd mongo-c-driver-1.0.0\src\libbson cmake -G "Visual Studio 10 Win64" "-DCMAKE_INSTALL_PREFIX=C:\mongo-c-driver"
Now that we have project files generated, we can either open the project in Visual Studio or compile from the command line. Let's build using the command line program msbuild.exe
msbuild.exe ALL_BUILD.vcxproj
Now that libbson is compiled, let's install it using msbuild. It will be installed to the path specified by CMAKE_INSTALL_PREFIX.
msbuild.exe INSTALL.vcxproj
You should now see libbson installed in C:\mongo-c-driver
Now let's do the same for the MongoDB C driver.
cd mongo-c-driver-1.0.0 cmake -G "Visual Studio 2010 Win64" "-DCMAKE_INSTALL_PREFIX=C:\mongo-c-driver" "-DBSON_ROOT_DIR=C:\mongo-c-driver" msbuild.exe ALL_BUILD.vcxproj msbuild.exe INSTALL.vcxproj
All of the MongoDB C Driver's components will now be found in C:\mongo-c-driver.


It’s been over a week since I stuck a post up here! Sorry, Mom…
I’m into week 5 here at Recurse Center, which is crazy, because it feels like I just started yesterday.
It’s been over a week since I stuck a post up here! Sorry, Mom…
I’m into week 5 here at Recurse Center, which is crazy, because it feels like I just started yesterday.
I’ve got a URL shortening website like Bitly that allows you to submit a link, then gives you a new, hopefully shorter url to use for that link. I built it with Python and the Flask microframework.
1) I watched The Second Best Exotic Marigold Hotel the other night with Emily, and it was a really solid movie. If you’ve never seen either of these, you should check them out. Maggie Smith is a living God.
Let’s say you have two programs that need to communicate with eachother via stdin and stdout. Pipes is one way to accomplish this. A pipe is a connection between two processes such that the stdout of one program becomes the stdin of the other.
I’ve finally defeated object oriented programming! Man, I never thought I’d be able to use classes and objects in a project, but I finally got a basic OOP-style tic tac toe game to work in python. Check it out here.
Day 3 was a whirlwind! Two days behind me, and RC already feels pretty magical. That’s not a metaphor. I kind of feel like I’m at Hogwarts and I’m learning magic spells, just like Harry, Rupert, and Hermione.
Day 2 at Recurse Center!
Felt a little bit like the second day of middle school.
Today was my first day at Recurse Center!
I was more excited than my niece, Lisa, with a fresh piece of watermelon on a hot day.


How to create a path:
Left-click to create points in the path.
Right-click to erase points in the path.


Page maintained by Ke-Sen Huang.
If you have additions or changes, send an e-mail.
Note that when possible I link to the page containing the link to the actual PDF or PS of the preprint.
I prefer this as it gives some context to the paper and avoids possible copyright problems with direct linking.
Thus you may need to search on the page to find the actual document.
Paper Abstract
Author Preprint
Paper Video
Paper Presentation
Paper Images
Paper Data
Demo Program or Source Code
Related Links
Changelog
Session A: Image Enhancement
- Motion Deblurring from a Single Image using Circular Sensor Motion
-
Yosuke Bando,
Bing-Yu Chen,
Tomoyuki Nishita
- Edge-Optimized A-TrousWavelets for Local Contrast Enhancement with Robust Denoising
-
Johannes Hanika,
Holger Dammertz,
Hendrik Lensch
- Exposure Fusion for Time-Of-Flight Imaging
-
Uwe Hahne,
Marc Alexa
- Rephotography Using Image Collections
-
Kun-Ting Lee,
Sheng-Jie Luo,
Bing-Yu Chen
Session B: Lighting & Rendering
- Improving Performance and Accuracy of Local PCA
-
Vaclav Gassenbauer,
Jaroslav Krivanek,
Kadi Bouatouch,
Christian Bouville,
Mickael Ribardiere
- Toward Optimal Space Partitioning for Unbiased, Adaptive Free Path Sampling of Inhomogeneous Participating Media
-
Yonghao Yue,
Kei Iwasaki,
Bing-Yu Chen,
Yoshinori Dobashi,
Tomoyuki Nishita
- Interactive Indirect Illumination Using Voxel Cone Tracing
-
Cyril Crassin,
Fabrice Neyret,
Miguel Sainz,
Simon Green,
Elmar Eisemann
Session C: Non Photorealistic Rendering & GPU computing
- A Graph-based Approach to Continuous Line Illustrations with Variable Levels of Detail
-
Fernando J. Wong,
Shigeo Takahashi
- An Illustrative Visualization Framework for 3D Vector Fields
-
Cheng-Kai Chen,
Shi Yan,
Hongfeng Yu,
Nelson Max,
Kwan-Liu Ma
Session D: Animation
- Motion Retrieval Using Low-Rank Subspace Decomposition of Motion Volume
-
Chuan Sun,
Imran Junejo,
Hassan Foroosh
- Flexible Splicing of Upper-Body Motion Spaces on Locomotion
-
Ben van Basten,
Arjan Egges
- Creating Fluid Animation from a Single Image using Video Database
-
Makoto Okabe,
Ken Anjyo,
Rikio Onai
- Asynchronous Evolution for Fully-Implicit and Semi-Implicit Time Integration
-
Craig Schroeder,
Nipun Kwatra,
Wen Zheng,
Ron Fedkiw
Session E: Model Reconstruction & Analysis
- SSD: Smooth Signed Distance Surface Reconstruction
-
Fatih Calakli,
Gabriel Taubin
- Bipartite Polar Classification for Surface Reconstruction
-
Yi-Ling Chen,
Tung-Ying Lee,
Bing-Yu Chen,
Shang-Hong Lai
- Discriminative Sketch-based 3D Model Retrieval via Robust Shape Matching
-
Tianjia Shao,
Weiwei Xu,
KangKang Yin,
Jingdong Wang,
Kun Zhou,
Baining Guo
Session F: Procedural Modeling & Natural Phenomena
- Authoring Hierarchical Road Networks
-
Eric Galin,
Adrien Peytavie,
Eric Guerin,
Bedrich Benes
- River Networks for Instant Procedural Planets
(
)
(
)
-
Evgenij Derzapf,
Bjorn Ganster,
Michael Guthe,
Reinhard Klein
Session G: Image & Video Editing
- Real Time Edit Propagation by Efficient Sampling
-
Xiaohui Bie, Haoda Huang,
Wencheng Wang
- Video Brush: A Novel Interface for Efficient Video Cutout
-
Ruo-Feng Tong,
Yun Zhang,
Meng Ding
- RepSnapping: Efficient Image Cutout for Repeated Scene Elements
-
Hua Huang,
Lei Zhang, Hong-Chao Zhang
- A Single Image Representation Model for Efficient Stereoscopic Image Creation
-
Younghui Kim,
Hwi-ryong Jung, ,
Sungwoo Choi,
Jungjin Lee,
Junyong Noh
Session H: Mesh Segmentation & Processing
- Optimized Topological Surgery for Unfolding 3D Meshes
-
Shigeo Takahashi,
Hsiang-Yun Wu,
Seow Hui Saw,
Chun-Cheng Lin,
Hsu-Chun Yen
- Computing 3D Shape Guarding and Star Decomposition
-
Wuyi Yu,
Xin Li
- HeatWalk: Robust Salient Segmentation of Non-rigid Shapes
-
William Benjamin,
Andrew Wood Polk,
S. V. N. Vishwanathan,
Karthik Ramani
Session I: Visualization
- Intelligent GPGPU Classification in Volume Visualization: A framework based on Error-Correcting Output Codes
-
Sergio Escalera,
Anna Puig,
Oscar Amoros,
Maria Salamo
- Efficient Opacity Specification Based on Feature Visibilities in Direct Volume Rendering
-
Yunhai Wang,
Jian Zhang,
Wei Chen,
Huai Zhang, Xuebin Chi
kesen.huang@gmail.com


- id - Variable in class com.example.cmput301f20t18.Book
-
- ID - Variable in class com.example.cmput301f20t18.Transaction
-
- id - Variable in class com.example.cmput301f20t18.UserNotification
-
- imageAdapter - Variable in class com.example.cmput301f20t18.ImageSliderActivity
-
- ImagePageAdapter - Class in com.example.cmput301f20t18
-
This is the adapter that manages to enlarge photos from books and navigate
through the different photos
- ImagePageAdapter(Context, ArrayList<String>) - Constructor for class com.example.cmput301f20t18.ImagePageAdapter
-
Initialize adapter (Constructor)
- imageRecyclerViewAdapter - Variable in class com.example.cmput301f20t18.AddBookActivity
-
- ImageRecyclerViewAdapter - Class in com.example.cmput301f20t18
-
This is the adapter that sets the option to add and present the image that will be add to books
The adapter is used in the class of MyBooksAddBook
- ImageRecyclerViewAdapter(ArrayList<Bitmap>, AddBookActivity.addListener, Context) - Constructor for class com.example.cmput301f20t18.ImageRecyclerViewAdapter
-
Initialize adapter (Constructor)
- ImageRecyclerViewAdapter.ImageViewHolder - Class in com.example.cmput301f20t18
-
This is just an additional class that creates an object of ImageViewHolder
- ImageSliderActivity - Class in com.example.cmput301f20t18
-
This is the main activity for the ImageSlider in which we will enlarge the photos
from a particular book so the user can go through them
- ImageSliderActivity() - Constructor for class com.example.cmput301f20t18.ImageSliderActivity
-
- imagesViewer - Variable in class com.example.cmput301f20t18.AddBookActivity
-
- imageView - Variable in class com.example.cmput301f20t18.FirestoreBorrowedAdapter.BookViewHolder
-
- imageView - Variable in class com.example.cmput301f20t18.FirestoreMyBooksAdapter.BookViewHolder
-
- ImageViewHolder(View) - Constructor for class com.example.cmput301f20t18.ImageRecyclerViewAdapter.ImageViewHolder
-
- InitializeLocationActivity - Class in com.example.cmput301f20t18
-
- InitializeLocationActivity() - Constructor for class com.example.cmput301f20t18.InitializeLocationActivity
-
- InitializeLocationActivity.AddLocationOnClickListener - Class in com.example.cmput301f20t18
-
- instanceToken - Variable in class com.example.cmput301f20t18.User
-
- instantiateItem(ViewGroup, int) - Method in class com.example.cmput301f20t18.ImagePageAdapter
-
This what enlarges the photo and part of what makes the slider
- isbn - Variable in class com.example.cmput301f20t18.AddBookActivity
-
- isbn - Variable in class com.example.cmput301f20t18.Book
-
- ISBN - Variable in class com.example.cmput301f20t18.PostScanActivity
-
- ISBN - Static variable in class com.example.cmput301f20t18.SearchFragmentTest
-
- isViewFromObject(View, Object) - Method in class com.example.cmput301f20t18.ImagePageAdapter
-
This verifies if the View (image displayed) is the same as the object photo


About Counting India
Counting India (CI) is an initiative of Factly. CI makes data related to the States/Districts in India more accessible and understandable. The primary source of data for CI is the Census of India 2011 and other official sources. In CI, one can compare any two States/Districts side by side. One can also embed, access or download the data.
We envision that every person who is interested in using data in their sphere of work will value CI’s platform. CI will also be a reliable resource for policy makers, journalists and researchers to explore and discover stories of public interest in India.
Currently we are on a Beta version of CI and are actively working on fixing the defects for our first stable version. Please email us with any findings or defects that you would like to bring to our notice.
CI code is licensed under the MIT License. CI has been modeled on tools like Wazimap Kenya, Census Reporter and as inspired by NepalMap.


EBD - Easton Bible DIctionary
Tortoise
TORTOISE
"TORTOISE "(Hebrews tsabh). Ranked among the unclean animals(
Leviticus 11:29
). Land tortoises are common in Syria. The LXX. renders the word by “land crocodile.” The word, however, more probably denotes a lizard, called by the modern Arabs dhabb.
"TORTOISE "(Hebrews tsabh). Ranked among the unclean animals(Leviticus 11:29). Land tortoises are common in Syria. The LXX. renders the word by “land crocodile.” The word, however, more probably denotes a lizard, called by the modern Arabs dhabb.


Gasoline prices up ₱0.85/liter; diesel rolled back ₱0.15/liter
by Myrna M. VelascoConsumers will be paying more for gasoline products this week as the price of this commodity had been up by ₱0.80 to ₱0.85 per liter, based on the pricing adjustment announcements of the oil companies.
For diesel, it had been a rollback of ₱0.15 per liter; and it goes the same way for kerosene products of which cost-per-liter had been pared by ₱0.15.
As of press time, the oil companies that already announced price adjustments include Pilipinas Shell Petroleum Corporation, Total Philippines, Cleanfuel, Seaoil, Phoenix Petroleum, Chevron and PetroGazz – and most are effective 6 a.m. on Tuesday (November 12).
The enforcement of price swings in the Philippine oil market is in keeping with the movement of prices in the world market – and this is done on a weekly basis.
In a span of seven weeks, this is the first time that prices of gasoline products had gone a bit higher – that was following a six-week respite on consumers’ pockets.


|
||||||||||
| PREV LETTER NEXT LETTER | FRAMES NO FRAMES |
topX
Tuple
in a group.Top
operation that emit up to
topX
rows from the given dataset
ds
.
Top
operation that emit up to
topX
rows from the given dataset
ds
.
Column.getOutputName()
from the columns
and store then in the returned string array.
Column.getOutputName()
from the
columns
together and separated by comma.
Tuple
into text, the delimiter is specified by
"mobius.tuple.tostring.delimiter" (default is tab).
TextInputFormat
and TSVMapper
as default.
Text
format)
into Tuple
elements.Tuple.toString()
, default is tab.
Tuple
.TupleCriterion
for filtering Tuple
s in a Dataset
.Tuple
.
|
||||||||||
| PREV LETTER NEXT LETTER | FRAMES NO FRAMES |


K-CAP Tutorials
Tutorial date: 1st of September, 2009
Developing OWL Ontologies with Protege 4
Half day tutorial (Sept. 1, morning)
Lecturers:
Simon Jupp (*) and Timothy Redmond (**)
(*) Bio-Health Informatics Group, University of Manchester
(**) Stanford Center for Biomedical Informatics Research, Stanford University
Download slides from here.
This half-day introductory tutorial aims to provide attendees with both the theoretical foundations and tool demonstration to begin building OWL ontologies using the latest version of the Protege-OWL tools (Protege4). This tutorial will cover the main conceptual parts of OWL through the demonstrated building of an ontology of pizzas and their ingredients. A series of demonstrations take attendees through the process of conceptualizing the toppings found on a pizza; the entry of this classification into the Protege environment; the description of many types of pizza. All this is set in the context of using automatic reasoning to check the consistency of the growing ontology and to use the reasoner to make queries about pizzas. Since 2003 this tutorial, in various forms, has been given over 20 times and been attended by hundreds of ontologists. The aims of the tutorial are:
- understand statements written in OWL 1.0;
- learn about the new OWL 2.0 enhancements;
- gain experience in the Protege 4 ontology building environment;
- gain experience with the wide variety of Protege 4 plugins that are available with functionality including visualization, search, ontology views, inference and explanation support;
- understand the role of automatic reasoning in ontology building;
- build an ontology and use a reasoner to draw inferences based on that ontology;
- gain insight into how OWL can play a role in semantic metadata.
- Learn how to use the expressive power of OWL and to take advantage of its inferencing capabilities to build robust, reusable models
Extreme Design (XD): Pattern-based Ontology Design
Half day tutorial (Sept. 1, afternoon)
Lecturers:
Eva Blomqvist (*), Francois Sharffe (**), Valentina Presutti (*), Aldo Gangemi (*)
(*) Semantic Technology Laboratory ISTC-CNR, Rome (IT)
(**) EXMO team, INRIA Grenoble - Rhone-Alpes (FR)
Download slides from here.
Our tutorial targets ontology designers, engineers, and practitioners (including generic skilled web users). The tutorial provides a method named extreme Design, based on good practices i.e., ontology design patterns, for the development of ontologies. We illustrate theoretical aspects of ontology design patterns, and analyse some relevant samples taken from a catalogue of ontology design patterns. The tutorial includes hands-on sessions with ontology design activities, performed by using the available state of art platforms.
The tutorial has the following goals:
- to teach ontology design principles and good practices;
- to teach a pattern-based method (extreme design) for ontology design based on state of the art tools for ontology engineering
- to provide attendees with practical solutions that facilitate the task of designing high quality ontologies in Semantic Web projects
- to provide attendees with a method for evaluating ontologies against specific requirements.
The tutorial starts with a brief introduction to ontology design principles. We proceed by providing attendees with the notion of ontology design pattern and by giving a definition for each of their possible types. For each type of ontology design pattern we show and analyze some samples. Finally, we describe a pattern-based method for ontology design. We exemplify it in a sample ontology design project. We also assess the functionalities of existing tools with reference to pattern-based ontology design. Lectures are interleaved with hands-on sessions where attendees will be invited to experience the application of the extreme design method and the exploitation of the online repository of ontology design patterns.


Welcome to FaithWraps
The FaithWrap is style meant to stimulate the mind, body and soul. This unique collection created by designer Faith Benoit is not only fashionable, but composed to unleash energy we all harbor to better our daily lives. Each piece is hand-crafted with a natural gem, selected for its distinguishing attributes to enhance specific qualities within us. Are you looking to ease your anxiety, find some inner-peace and love, enable the adventurer within, or just make a fashion statement? With this special collection, there's a Wrap for everyone.
Bottle Set Trust
$59.99
Tigresscuff
$59.99
Transformation Mistletoe
$59.99
Black Earrings
$59.99
Relaxation Riverstone
$59.99
Bottle Set Scroll
$59.99


The development of sbpy is a team effort that would not be possible without the help of supporters that provide, test, and document code:
Michael S. P. Kelley, University of Maryland
Miguel de Val-Borro, Planetary Science Institute
Jian-Yang Li, Planetary Science Institute
Michael Mommert, University of St. Gallen
Giannina Guzman, Villanova University/Lowell Observatory
Brigitta Sipőcz, University of Washington
Josef Ďurech, Charles University Prague
Mikael Granvik, University of Helsinki
Will Grundy, Lowell Observatory
Nick Moskovitz, Lowell Observatory
Antti Penttilä, University of Helsinki
Nalin Samarasinha, Planetary Science Institute
Become a Part of the Team!


Herbie Documentation¶
Herbie is a python package that downloads recent and archived output from the High Resolution Rapid Refresh (HRRR) and Rapid Refresh (RAP) models from various sources. It also enables you to download subsets of the GRIB2 by variable and open the data with xarray via cfgrib. I created most of this during my PhD and have since organized it into this more coherent package. The package was original named HRRR-B, but since then the package has been expanded to access more than just the HRRR data from one source and it will continue to evolve at my own leisure. It is now called Herbie, named after some favorite childhood movies.
The HRRR model is NOAA’s hourly, 3-km numerical weather prediction model nested within the RAP model and is a valuable numerical weather prediction resource. The RAP and HRRR model development are the foundation for the upcoming Rapid-Refresh Forecast System (RRFS).
Install¶
This package requires Python 3.8+
Install with pip
pip install hrrrb
# or
pip install git+https://github.com/blaylockbk/HRRR_archive_download.git
To install within a conda environment file, you may use this minimum environment.yml file and create the environment with the following…
# Create the environment
conda env create -f environment.yml
# Update the environment
conda env update -f environment.yml
# Activate the environment
conda activate hrrrb
Capabilities¶
Download Data¶
Download recent and archived HRRR and RAP data from multiple sources made possible by NOAA’s big data program:
Subset by GRIB2 variable¶
GRIB files contain “messages” which define a grid of data for a particular variable. Data for a variable grid are stacked on top of each other. Instead of downloading full GRIB2 files, you may download a selections from a GRIB2 file based on GRIB message. This is enabled by the cURL command which allows you to download a range of bytes from a file. The index .idx files tells you the beginning byte for each GRIB field. Herbie searches an .idx file for the variables you want and performs the cURL command for each field. The returned data is a valid GRIB2 file that contains the whole grid for just the requested variable.
Other useful tools¶
Brian’s Python Add-ons These are still in development and require my Carpenter Workshop package to plot the data on a Cartopy map or pluck points nearest specific latitudes and longitudes.
GRIB2 Tools There are two command-line tools for looking at GRIB file contents.
wgrib2 is a product of NOAA and can be installed via conda-forge in your environment (linux only).
grib_ls is a product of ECMWF and is a dependency of cfgrib. This utility is included when you install cfgrib in your environment.
For a sample GRIB2 file with precipitation data, below is the output using both tools
$ wgrib2 subset_20201214_hrrr.t00z.wrfsfcf12.grib2
1:0:d=2020121400:APCP:surface:0-12 hour acc fcst:
2:887244:d=2020121400:APCP:surface:11-12 hour acc fcst:
$ grib_ls subset_20201214_hrrr.t00z.wrfsfcf12.grib2
subset_20201214_hrrr.t00z.wrfsfcf12.grib2
edition centre date dataType gridType typeOfLevel level stepRange shortName packingType
2 kwbc 20201214 fc lambert surface 0 0-12 tp grid_complex_spatial_differencing
2 kwbc 20201214 fc lambert surface 0 11-12 tp grid_complex_spatial_differencing
2 of 2 messages in subset_20201214_hrrr.t00z.wrfsfcf12.grib2
2 of 2 total messages in 1 files


McIlroy defeats Schauffele to win WGC-HSBC Champions in Shanghai
by By Press AssociationRory McIlroy edged out Xander Schauffele in a play-off to win the WGC-HSBC Champions in Shanghai.
The world number two won at the first extra hole at the Sheshan International Golf Club after the pair both finished on 19 under.
Schauffele, the defending champion, had birdied the 18th to take the event into a play-off but he could only score par as the pair played it again in sudden death.
McIlroy, who had to lay up after flirting with water on his first playing of the 18th, duly sank a birdie putt to claim his 27th career title.
It was also McIlroy’s third win in a World Golf Championships event, his fourth win of 2019 and the first in his defence of the FedEX Cup title. It lifted him to the top of the PGA Tour’s FedEx Cup standings and fifth in the European Tour’s Race to Dubai rankings.
McIlroy told Sky Sports: “It’s a tough closing stretch even though there are holes you think you should birdie. There are dangers waiting around every corner.
“I played conservatively when I needed to and thankfully it paid off.”
McIlroy shot four birdies in his closing 68 while fast-finishing Schauffele recorded seven birdies, five of which were on the front nine, in a 66, although a bogey at the sixth was to prove costly.
South Africa’s Louis Oosthuizen finished third on 17 under after a 69, two shots ahead of Victor Perez, Matthias Schwab and Abraham Ancer. Britain’s Matt Fitzpatrick finished seventh on 14 under.
McIlroy now hopes to round off 2019 with success on the European circuit’s season-ending DP World Tour Championship in Dubai later this month.
The Northern Irishman said: “I got off to a good start in the FedEx Cup last year and being up there from the start is huge.
“I think this win gets me to number one in the FedEx Cup and that’s nice going into the break. I’m going to take two months off after I play in Dubai in a couple of weeks’ time.
“I am looking forward to that break but I have still got one tournament left this year at a place where I’ve had some success. I want to finish the year on a high note.”
READ MORE
Hockey team sets sights on winner-takes-all clash after draw with Canada


Hit "N" for Next slide, or "P" for Previous slide.
Or just scroll down.
Rainy Day Stories:
This is an introduction to Temporal Logic, based the system called "D",
studied by Arthur Prior and Robert Bull.
I haven't seen Temporal Logic used in Recreational Maths and would like to introduce this system.
It is easy enough that anyone can understand it, but compelling enough to make interesting puzzles.
These slides are on the web at www.yak.net/d
-- Henry Strickland « strick % yak.net »
-- Gathering for Gardner « G4G13 » 2018-04
References:
Copeland, B. Jack. Stanford Encyclopedia of Philosophy » Temporal Logic » Prior’s Basic Tense Logic TL.
https://plato.stanford.edu/entries/logic-temporal/#PriBasTenLogTL
Goldblatt, Robert. Mathematical Modal Logic: a View of its Evolution. Centre for Logic, Language and Computation. Victoria University, P. O. Box 600, Wellington, New Zealand.
http://homepages.mcs.vuw.ac.nz/~rob/papers/modalhist.pdf
Prior, Arthur. Time and Modality. Oxford University Press. 1957.
https://books.google.com/books/about/Time_and_Modality.html?id=K5nymD8qgigC
R = It rains (today).
⚪R = TOMORROW it rains.
◇R = EVENTUALLY it rains.
◻R = FOREVERMORE it rains.
There's only four symbols to learn, so please pay attention, because you're going to need these four.
R means Rain on the day in question, which by default is today.
Circle (⚪) means TOMORROW. Whatever follows the circle is true tomorrow.
Diamond (◇) means EVENTUALLY, at least once. Whatever follows the diamond is true at least once, EITHER today, OR tomorrow, OR some day in the future.
Box (◻) means FOREVERMORE. Whatever follows the box is true today, AND tomorrow, AND every day into the future.
How to remember them:
⚪ = The "point" TOMORROW.
A circle is like a big point, and that point in time is TOMORROW.
◇ = EVENTUALLY at any point
A diamond has many points, and ANY day will do.
◻ = FOREVERMORE
A box looks like a calendar, marking ALL days, starting today.
Four Example Rainy Day Stories (1=Rain, 0=NoRain):
1 0 1 1 1 0 0 0 0 0 0 0 0 0...
0 1 0 1 0 1 0 1 0 1 0 1 0 1...
0 0 0 0 0 0 0 0 0 0 0 0 0 0...
1 1 1 1 1 1 1 1 1 1 1 1 1 1...
This is how I visualize Rainy Day Stories.
Each line of 1s and 0s is a Story.
1 means Rain, 0 means No Rain.
The first digit on each line is whether it rains today.
The second digit is whether it rains tomorrow.
The third digit is the next day, and so forth, into the future.
R = It rains (today).
☑ 1 0 1 1 1 0 0 0 0 0 0 0 0 0...
☐ 0 1 0 1 0 1 0 1 0 1 0 1 0 1...
☐ 0 0 0 0 0 0 0 0 0 0 0 0 0 0...
☑ 1 1 1 1 1 1 1 1 1 1 1 1 1 1...
Raining Today matches the 1st and 4th story, because they start with a 1, meaning Rain Today.
⚪R = TOMORROW it rains.
☐ 1 0 1 1 1 0 0 0 0 0 0 0 0 0...
☑ 0 1 0 1 0 1 0 1 0 1 0 1 0 1...
☐ 0 0 0 0 0 0 0 0 0 0 0 0 0 0...
☑ 1 1 1 1 1 1 1 1 1 1 1 1 1 1...
TOMORROW RAIN matches the 2nd and 4th story, because they have a 1 in the second position, meaning Rain Tomorrow.
◇R = EVENTUALLY it rains.
☑ 1 0 1 1 1 0 0 0 0 0 0 0 0 0...
☑ 0 1 0 1 0 1 0 1 0 1 0 1 0 1...
☐ 0 0 0 0 0 0 0 0 0 0 0 0 0 0...
☑ 1 1 1 1 1 1 1 1 1 1 1 1 1 1...
EVENTUALLY RAIN matches all but the 3rd story, which has no rainy days at all.
◻R = FOREVERMORE it rains.
☐ 1 0 1 1 1 0 0 0 0 0 0 0 0 0...
☐ 0 1 0 1 0 1 0 1 0 1 0 1 0 1...
☐ 0 0 0 0 0 0 0 0 0 0 0 0 0 0...
☑ 1 1 1 1 1 1 1 1 1 1 1 1 1 1...
FOREVERMORE RAIN only matches the last story, in which every day is rainy.
a ∧ b = a AND b
a ∨ b = a OR b
¬ b = NOT b
a → b = a IMPLIES b (IF a THEN b)
All the usual Logic Operators are allowed: And, Or, Not, Implies.
R ∧ ⚪R
☐ 1 0 1 1 1 0 0 0 0 0 0 0 0 0...
☐ 0 1 0 1 0 1 0 1 0 1 0 1 0 1...
☐ 0 0 0 0 0 0 0 0 0 0 0 0 0 0...
☑ 1 1 1 1 1 1 1 1 1 1 1 1 1 1...
It rains TODAY ... AND ... it rains TOMORROW.
That matches only the last story, which starts with "1 1".
R ∧ ⚪¬R
☑ 1 0 1 1 1 0 0 0 0 0 0 0 0 0...
☐ 0 1 0 1 0 1 0 1 0 1 0 1 0 1...
☐ 0 0 0 0 0 0 0 0 0 0 0 0 0 0...
☐ 1 1 1 1 1 1 1 1 1 1 1 1 1 1...
It rains TODAY ... AND ... TOMORROW it does NOT rain.
That matches only the first story, which starts with "1 0".
⚪⚪R ∧ ⚪⚪⚪R
☑ 1 0 1 1 1 0 0 0 0 0 0 0 0 0...
☐ 0 1 0 1 0 1 0 1 0 1 0 1 0 1...
☐ 0 0 0 0 0 0 0 0 0 0 0 0 0 0...
☑ 1 1 1 1 1 1 1 1 1 1 1 1 1 1...
Two circles in a row means "Tomorrow's Tomorrow"; three circles is the day after that.
So, it rains THE DAY AFTER TOMORROW and also THE DAY AFTER THAT.
That matches the first and the last story, which both have "1"s in the 3rd and 4th position.
◇◻R
Eventually, it will rain forevermore.
"It may rain off and on for a while, but some day it will rain and never quit."
The next two get interesting.
Diamond Box R means ... Eventually ... it will rain forevermore.
That is, it may rain off an on for a while, but some day it will rain and never quit.
◻◇R
Forevermore... it will eventually rain.
"No matter how far in the future we go, it will always rain again."
Box Diamond R means Forevermore it will eventually rain.
No matter how far in the future we go, it will always rain again.
If our story is that it only rains on prime-numbered days, that story would match, because no matter how far we go, there's always another prime.
◇ ( R ∧ ⚪R )
"Eventually it will rain (at least) two days in a row."
◻ ( R → ⚪¬R )
"It will never rain two (or more) days in a row."
◻ ( R → ⚪R )
"If it ever rains, it will never quit."
Can you write expressions for these:
(1) "It rains only every other day."
(Your expression must match exactly two stories.)
(2) "Whenever it rains, it rains exactly two days in a row (never one, never three)."
(But it may not rain at all.)
Game of Thrones:
⚪◇W ∧ ¬W
I'll end with some Real World Examples.
From the Game of Thrones:
Starting tomorrow, eventually W; but not W today.
That means: "Winter is coming!"
Game of Thrones:
⚪◇W ∧ ¬W
Morton salt:
◻ ( R → P )
From Morton Salt:
It is always the case that R implies P.
That means: "When it rains, it pours!"
Game of Thrones:
⚪◇W ∧ ¬W
Morton salt:
◻ ( R → P )
Genesis 8 (God's Covenant to Noah):
39 i
¬◇ ∧ ⚪ R
i=0
From Genesis 8, we have God's Covenant to Noah:
It will never happen that,
it rains Today and Tomorrow and the Day after That, etc.,
up to 39 circles and an R.
In other words: "Starting today, it will never rain 40 days in a row!"
Temporal Logic (or Tense Logic) "D" studied by Arthur Prior and Robert Bull.
Search for: Tense Logic, Temporal Logic, Modal Logic.
These slides: http://www.yak.net/d
Source code: https://github.com/strickyak/d-talk
I dedicate these slides to the Public Domain ( Creative Commons CC0 1.0 Universal ).
That's it for now.
I've made postcards with more puzzles.
Some are spread around the tables,
and they will also be in the gift exchange.
Bibliography:
Robert Goldblatt. Mathematical Modal Logic: a View of its Evolution. Centre for Logic, Language and Computation. Victoria University, P. O. Box 600, Wellington, New Zealand. http://homepages.mcs.vuw.ac.nz/~rob/papers/modalhist.pdf
Arthur N Prior. Time and Modality. London : Oxford : At The Clarendon Press, 1968


FAQ Frequently Asked Questions¶
How do I integrate my Desktop Tools - ARC and QGIS with the cloud?
Its not easy - Tony and Rich (and others) are working on solutions
You can sample data and selectively xfer it to your desktop or netapp
we need to build better dashboards in the cloud - I think they are coming - but this has to be addressed for science adoption of the cloud
we will explore some of the ways you mitigate this cloud/desktop integration deficiency in this class
What is the difference between a mini-pangeo and pangeo.usgs.gov?
mini-pangeo
project based
comes with a read write bucket
comes with Tony for custom devops and training
user group is project specific
emphasis on pure docker - simpler
costs directed at the projects budget
PANGEO.usgs.gov
managed service
scalable
great for Landsat Collection-2 exploitation
dask based
kubernetes based
docker based
great for pure jupyter training
sponsored environment
I assume we can use R in the notebooks as well?
yes you can use R
however my focus will be on python
we may have to have a splinter group that does R
Pete was considering mandating python learning.
Ideas¶
Work on a joint dashboard project with Alemayehu
Roger Auch would be a good one to work with. He has pages of speadsheets,
great for a case study using pandas dataframe automations!
we also have a huc-12 spreadsheet that could be pandas and a direct viz app as well.
take the student notbook and add another class based on snow-white and the 7 dwarfs - then rework as a dashboard to illustrate apps for the jupyter-shy tribe.
Collaborate with Rich Signell on Scalable Analysis Framework for the Earth (SAFE) Open, Scalable, Framework, Reproducible, Architecture, Incubator, Lab, Cloud, Analysis, Visualization
Scalable Analysis Framework for the Earth (SAFE)
Scalable Cloud Architecture
zoomit -https://www.youtube.com/watch?v=oDeHjYevtiY


Apicurio Registry Operator quickstart
This chapter explains how to quickly install Apicurio Registry Operator on the command line.
This quickstart example deploys Apicurio Registry using the in-memory storage option:
| The recommended installation option for production environments is using the OpenShift OperatorHub. The recommended storage option is SQL or Kafka. |
Apicurio Registry Operator quickstart
You can quickly deploy the Apicurio Registry Operator on the command line, without the Operator Lifecycle Manager, by executing a single command.
-
Choose the
$NAMESPACE
to use:export NAMESPACE="default"
-
Get the installation file and apply it to your cluster:
curl -sSL "https://raw.githubusercontent.com/Apicurio/apicurio-registry-operator/v1.0.0/docs/resources/install.yaml" | sed "s/{NAMESPACE}/$NAMESPACE/g" | kubectl apply -f - -n $NAMESPACE
|
If you want to deploy an older release of the Operator, follow the documentation for that version. If you are deploying to OpenShift, use oc with the same arguments.
|
Quickstart Apicurio Registry deployment
To quickly create a new Apicurio Registry deployment, use the in-memory storage option, which does not require an external storage to be configured as a prerequisite.
-
Ensure that the Apicurio Registry Operator is already installed.
-
Use a
$NAMESPACE
where the Apicurio Registry Operator is deployed:export NAMESPACE="default"
-
Create an
ApicurioRegistry
custom resource (CR):kubectl apply -f https://raw.githubusercontent.com/Apicurio/apicurio-registry-operator/v1.0.0/docs/modules/ROOT/examples/apicurioregistry_mem_cr.yaml -n $NAMESPACE
If you want to deploy an older release of the Operator, follow the documentation for that version.
If you are deploying to OpenShift, useoc
with the same arguments.Example CR for in-memory storageapiVersion: registry.apicur.io/v1 kind: ApicurioRegistry metadata: name: example-apicurioregistry-mem spec: configuration: persistence: "mem" # Optional (default value) # NOTE: No additional configuration required for *dev* deployment
Apicurio Registry Operator Distribution Bundle
Since version 1.0.0
, Apicurio Registry Operator project is distributed with an additional archive file containing installation files for the operator, with example ApicurioRegistry
custom resource files.
In addition, full Operator documentation and license information is also included.
Docker images for the Operator and the Operand are distributed using a public registry.
For released versions, you can find this file in the Apicurio Registry Operator releases page. Visit the Apicurio Registry Operator GitHub repository for information about how to build the bundle for development versions.


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Ignore file patterns (regex separated by ';') |


[gecode-users] [Gecode-announce] Gecode 2.2.0, Gecode/J 2.2.0, Gecode/FlatZinc 1.3 released
Guido Tack
tack at ps.uni-sb.de
Mon Aug 25 18:21:01 CEST 2008
We would like to announce the release of
Gecode 2.2.0
http://www.gecode.org
This release adds many domain consistent propagators for arithmetic
constraints and fixes a number of bugs. Some of these bugs fixed are
potentially serious, in particular as they occur very seldom. Please
change to 2.2.0 as soon as possible (in particular if you are using
the 64bit Microsoft Visual C++ compiler). And, of course, the usual
small fixes and changes. The complete changelog is available at http://www.gecode.org/gecode-doc-latest/PageChanges_2_2_0.html
We also release
Gecode/J 2.2.0
http://www.gecode.org/gecodej/
and
Gecode/FlatZInc 1.3
http://www.gecode.org/flatzinc.html
Both Gecode/J and Gecode/FlatZinc have been updated to work with
Gecode 2.2.0, and incorporate minor fixes as detailed on the
respective web pages.
On our web site, you will find source packages, as well as binary
packages for Windows and Mac OS X.
Cheers,
Guido
More information about the gecode-users
mailing list


Tap and hold jump button to stay in air, hit pink bar to get points, enjoy !
Inspired and derived from w3c, modified with ♥ by @sonuauti


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You must delete a buffer before creating another one with the same name.
When creating a buffer, you should always try to create it to a size that is appropriate to the type, with the general rule being that it should be created to accommodate the maximum size of data that it is to store.
Buffer types:
Fixed - A buffer of a fixed size in bytes. The size is set when the buffer is created and cannot be changed again. LioranBoard will crash when you reach the limit size.
Grow - A buffer that will grow dynamically as data is added. You create it with an initial size (which should be an approximation of the size of the data expected to be stored), and then it will expand to accept further data that overflows this initial size.
Wrap - A buffer where the data will wrap. When the data being added reaches the limit of the buffer size, the overwrite will be placed back at the start of the buffer, and further writing will continue from that point.
If in doubt, use a grow buffer to prevent overwrite errors.


English Estonian Dictionary online
Welcome to the English-Estonian dictionary. Please write word or phrase you want to check in the text box on the left.
Glosbe is home for thousands of dictionaries. We provide not only dictionary English-Estonian, but dictionaries for every existing pairs of languages - online and free. Go to our home page to choose from available languages.
Translation Memory
Glosbe dictionaries are unique. On Glosbe you can check not only translations into language English or Estonian: we also provide examples of usage, by showing dozens of examples of translated sentences containing translated phrase. This is called "translation memory" and is very useful for translators. One can see not only translation of the word, but also how it behaves in the sentence. Our Translation Memory come mostly from parallel corpuses that were made by humans. Such translated sentences are very useful addition to dictionaries.
Statistics
Currently we have 131,910 phrases translated. Currently we have 22,623,301 sentences translated
Collaboration
Help us in creating the largest English-Estonian dictionary online. Simply log in and add new translation. Glosbe is a collaborative project and every one can add (and remove) translations. It makes our dictionary English Estonian real, as it is created by native speakers people, that uses language for every day. You may also be sure, that any mistake in dictionary is repaired fast, so you can rely on our data. If you find any mistake or you are able add new data: please do it. Thousands of people will be grateful for doing so.
You should know, that Glosbe does not store word but rather the idea of what the word means. Thanks to this, by adding one new translation, dozens of new translations are created! Help us develope Glosbe dictionaries and see how yours knowledge helps people around the globe.


@* * Copyright 2021 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 play.api.Application @import config.AppConfig @import views.html.calculation.resident.properties.resident_properties_main_template @()(implicit request : Request[_], messages: Messages, appdConfig: AppConfig) @resident_properties_main_template( title = Messages("calc.resident.properties.introduction.title"), appConfig = appdConfig ) {
@Messages("calc.resident.properties.introduction.paragraph")
@Messages("calc.resident.properties.introduction.entitledLinkText")@Messages("calc.resident.properties.introduction.continuationInstructions")
@Messages("calc.base.button.continue") }


- Paper on Contextual Word Representations
- The Transformer Family (Blog)
- Transformer models: an introduction and catalog - 2023 Edition (Best Survey of Transformers Progress)
- Blueprints for recommender system architectures: 10th anniversary edition - AI, software, tech, and people, not in that order… by X (Blog!!!)
| “We tend to overestimate the effect of a technology in the short run and underestimate the effect in the long run.” - Amara’s law |
Word Representations and their progress
Summary of Progress:
- 2011-13s: Learning Unsupervised Representations for words (Pre-Trained Word Vectors) is crucial for making Supervised Learning work (e.g. for NERs, POS-Tagging, etc.)
- 2014-18s: Pre-Trained Word Vectors are not actually necessary for good performance of supervised methods.
- The reason is due to advances in training supervised methods: regularization, non-linearities, etc.
- They can boost the performance by ~ \(1\%\) on average.
- Word Representations (Accepted Methods):
The current accepted methods provide one representation of words:- Word2Vec
- GloVe
- FastText
Problems:
- Word Senses: Always the same representation for a word type regardless of the context in which a word token occurs
- We might want very fine-grained word sense disambiguation (e.g. not just ‘holywood star’ and ‘astronomical star’; but also ‘rock star’, ‘star student’ etc.)
- We just have one representation for a word, but words have different aspects: including semantics, syntactic behavior, and register/connotations (e.g. when is it appropriate to use ‘bathroom’ vs ‘shithole’ etc.; ‘can’-noun vs ‘can’-verb have same vector)
Possible Solution (that we always had?):
- In a NLM, LSTM layers are trained to predict the next word, producing hidden/state vectors, that are basically context-specific word representations, at each position
- TagLM (Peters et al. 2017) — Pre-Elmo:
Idea:- Want meaning of word in context, but standardly learn task RNN only on small task-labeled data (e.g. NER).
- Do semi-supervised approach where we train NLM on large unlabeled corpus, rather than just word vectors.
- Run a BiRNN-LM and concatenate the For and Back representations
- Also, train a traditional word-embedding (w2v) on the word and concatenate with Bi-LM repr.
- Also, train a Char-CNN/RNN to get character level embedding and concatenate all of them together
Details:
- Language model is trained on 800 million training words of “Billion word benchmark”
- Language model observations:
- An LM trained on supervised data does not help
- Having a bidirectional LM helps over only forward, by about 0.2
- Having a huge LM design (ppl 30) helps over a smaller model (ppl 48) by about 0.3
- Task-specific BiLSTM observations:
- Using just the LM embeddings to predict isn’t great: 88.17 F1
- Well below just using an BiLSTM tagger on labeled data
- Using just the LM embeddings to predict isn’t great: 88.17 F1
- Cove - Pre-Elmo:
- Also has idea of using a trained sequence model to provide context to other NLP models
- Idea: Machine translation is meant to preserve meaning, so maybe that’s a good objective?
- Use a 2-layer bi-LSTM that is the encoder of seq2seq + attention NMT system as the context provider
- The resulting CoVe vectors do outperform GloVe vectors on various tasks
- But, the results aren’t as strong as the simpler NLM training described in the rest of these slides so seems abandoned
- Maybe NMT is just harder than language modeling?
- Maybe someday this idea will return?
- Elmo - Embeddings from Language Models (Peters et al. 2018):
Idea:- Train a bidirectional LM
- Aim at performant but not overly large LM:
- Use 2 biLSTM layers
- Use character CNN to build initial word representation (only)
- 2048 char n-gram filters and 2 highway layers, 512 dim projection
- Use 4096 dim hidden/cell LSTM states with 512 dim projections to next input
- Use a residual connection
- Tie parameters of token input and output (softmax) and tie these between forward and backward LMs
Key Results:
- ELMo learns task-specific combination of BiLM representations
- This is an innovation that improves on just using top layer of LSTM stack
$$\begin{aligned} R_{k} &=\left\{\mathbf{x}_{k}^{L M}, \overrightarrow{\mathbf{h}}_{k, j}^{L M}, \mathbf{h}_{k, j}^{L M} | j=1, \ldots, L\right\} \\ &=\left\{\mathbf{h}_{k, j}^{L M} | j=0, \ldots, L\right\} \end{aligned}$$
$$\mathbf{E} \mathbf{L} \mathbf{M} \mathbf{o}_{k}^{t a s k}=E\left(R_{k} ; \Theta^{t a s k}\right)=\gamma^{task} \sum_{j=0}^{L} s_{j}^{task} \mathbf{h}_ {k, j}^{L M}$$
- \(\gamma^{\text { task }}\) scales overall usefulness of ELMo to task;
- \(s^{\text { task }}\) are softmax-normalized mixture model weights
Possibly this is a way of saying different semantic and syntactic meanings of a word are represented in different layers; and by doing a weighted average of those, in a task-specific manner, we can leverage the appropriate kind of information for each task.
Using ELMo with a Task:
- First run biLM to get representations for each word
- Then let (whatever) end-task model use them
- Freeze weights of ELMo for purposes of supervised model
- Concatenate ELMo weights into task-specific model
- Details depend on task
- Concatenating into intermediate layer as for TagLM is typical
- Can provide ELMo representations again when producing outputs, as in a question answering system
- Details depend on task
Weighting of Layers:
- The two Bi-LSTM NLP Layers have differentiated uses/meanings
- Lower layer is better for lower-level syntax, etc.
- POS-Tagging, Syntactic Dependencies, NER
- Higher layer is better for higher-level semantics
- Sentiment, Semantic role labeling, QA, SNLI
- Lower layer is better for lower-level syntax, etc.
Reason for Excitement:
ELMo proved to be great for all NLP tasks (even tho the core of the idea was in TagLM) -
ULMfit - Universal Language Model Fine-Tuning (Howard and Ruder 2018):
ULMfit - Universal Language Model Fine-Tuning for Text Classification:
-
BERT (Devlin et al. 2018):
BERT - Bidirectional Encoder Representations from Transformers:
Idea: Pre-training of Deep Bidirectional Transformers for Language Understanding.Model Architecture:
- Transformer Encoder
- Self-attention –> no locality bias
- Long-distance context has “equal opportunity”
- Single multiplication per layer –> efficiency on GPU/TPU
- Architectures:
- BERT-Base: 12 layer, 768-hidden, 12-head
- BERT-Large: 24 layer, 1024 hudden, 16 heads
Model Training:
- Train on Wikipedia + BookCorpus
- Train 2 model sizes:
- BERT-Base
- BERT-Large
- Trained on \(4\times 4\) or \(8\times 8\) TPU slice for 4 days
Model Fine-Tuning:
- Simply learn a classifier built on top layer for each task that you fine-tune for.
Problem with Unidirectional and Bidirectional LMs:
- Uni: build representation incrementally; not enough context from the sentence
- Bi: Cross-Talk; words can “see themselves”
Solution:
- Mask out \(k\%\) of the input words, and then predict the masked words
- They always use \(k=15%\)
Ex: “The man went to the [MASK] to buy a [MASK] of milk.”
- Too little Masking: Too Expensive to train
- Too much Masking: Not enough context
- They always use \(k=15%\)
- Other Benefits:
- In ELMo, bidirectional training is done independently for each direction and then concatenated. No joint-context in the model during the building of contextual-reprs.
- In GPT, there is only unidirectional context.
Another Objective - Next Sentence Prediction:
To learn relationships between sentences, predict whether sentence B is actual sentence that proceeeds sentence A, or a random sentence (for QA, NLU, etc.).Results:
Beats every other architecture in every GLUE task (NL-Inference).
Notes:
- Tips for unknown words with word vectors:
- Simplest and common solution:
- Train time: Vocab is \(\{\text { words occurring, say, } \geq 5 \text { times }\} \cup\{<UNK>\}\)
- Map all rarer \((<5)\) words to \(<UNK>\), train a word vector for it
-
Runtime: use \(<UNK>\) when out-of-vocabulary (OOV) words occur
- Problems:
- No way to distinguish different \(UNK\) words, either for identity or meaning
- Solutions:
- Hey, we just learned about char-level models to build vectors! Let’s do that!
- Especially in applications like question answering
- Where it is important to match on word identity, even for words outside your word vector vocabulary
- Especially in applications like question answering
-
Try these tips (from Dhingra, Liu, Salakhutdinov, Cohen 2017)
a. If theword at test time appears in your unsupervised word embeddings, use that vector as is at test time. b. Additionally, for other words, just assign them a random vector, adding them to your vocabulary a. definitely helps a lot; b. may help a little more
- Another thing you can try:
- Collapsing things to word classes (like unknown number, capitalized thing, etc. and having an
for each
- Collapsing things to word classes (like unknown number, capitalized thing, etc. and having an
- Hey, we just learned about char-level models to build vectors! Let’s do that!
The Transformer
-
Self-Attention:
Computational Complexity Comparison:
It is favorable when the sequence-length \(<<\) dimension-representations.Self-Attention/Relative-Attention Interpretations:
- Can achieve Translational Equivariance (like convs) (by removing pos-encoding).
- Can model similarity graphs.
- Connected to message-passing NNs: Can think of self-attention as passing messages between pairs of nodes in graph; equivalently, imposing a complete bipartite graph and you’re passing messages between nodes.
Mathematically, the difference is message-passing NNs impose condition that messages pass ONLY bet pairs of nodes; while self-attention uses softmax and thus passes messages between all nodes.
Self-Attention Summary/Properties:
- Constant path-length between any two positions
- Unbounded memory (i.e no fixed size h-state)
- Gating/multiplicative interactions
Because you multiply attention probabilities w/ activations. PixelCNN needed those interactions too. - Trivial to parallelize (per layer): just matmuls
- Models self-similarity
- Relative attention provides expressive timing, equivariance, and extends naturally to graphs
- (Without positional encoding) It’s Permutation-Invariant and Translation-Equivariant
It can learn to copy well.
Current Issues:
- Slow Generation:
Mainly due to Auto-Regressive generation, which is necessary to break the multi-modality of generation. Multi-modality prohibits naive parallel generation.
Multi-modality refers to the fact that there are multiple different sentences in german that are considered a correct translation of a sentence in english, and they all depend on the word that was generated first (ie no parallelization). - Active Area of Research:
Non Auto-Regressive Transformers.- Papers:
- Non autoregressive transformer (Gu and Bradbury et al., 2018)
- Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement (Lee, Manismov, and Cho, 2018)
- Fast Decoding in Sequence Models Using Discrete Latent Variables (ICML 2018) Kaiser, Roy, Vaswani, Pamar, Bengio, Uszkoreit, Shazeer
- Towards a Better Understanding of Vector Quantized Autoencoders Roy, Vaswani, Parmar, Neelakantan, 2018
- Blockwise Parallel Decoding For Deep Autogressive Models (NeurIPS 2019) Stern, Shazeer, Uszkoreit
- Papers:
Notes:
- Self-Similarity:
- Use Encoder-Self-Attention and replace word-embeddings with image-patches: you compute a notion of content-based similarity between the elements (patches), then - based on this content-based similarity - it computes a convex combination that brings the patches together.
- You can think about it as a differentiable way to perform non-local means.
- Issue - Computational Problem:
Attention is Cheap only if length \(<<\) dim.
Length for images is \(32\times 32\times 3 = 3072\):
- Solution - Combining Locality with Self-Attention:
Restrict the attention windows to be local neighborhoods.
Good assumption for images because of spatial locality.
- Use Encoder-Self-Attention and replace word-embeddings with image-patches: you compute a notion of content-based similarity between the elements (patches), then - based on this content-based similarity - it computes a convex combination that brings the patches together.


On 27 January 2017, 6 new articles were published in 5 journals.
Book Review: Charles J Ogletree Jr and Austin Sarat, Punishment in Popular Culture
The Influence of Planned Aggression on the Journey to Homicide
Note: although this article was published on 1 December 2016, the publisher only added it to the journal RSS feed on 27 January 2017, which is why it is shown in the list of articles for that date.
Media Freedom and the Control of Nation’s Sociolegal Problems of Governance
Routine Activity Theory and the Likelihood of Arrest


Your work will directly contribute to helping everyone in the campus, be it the IPR team(A custom portal), the Elected Representatives(General Complaint System), the Sports Committee(Sports Portal), or even everyone in the college(Insti Dashboard). What better way to give back to the college than be a part of something that touches everyone's lives, every day, every moment.
As a member of the Institute Web/Mob Ops team, be it a coodinator or intern, you will have to work in collaboration with various institute bodies, and deliver them portals and applications that are custom tailored to their needs.
It will be quite an exposure - of both understanding the teams and working on new platforms.
We work with the trendiest and the most functional technologies. Node JS. LAMP Stack. Ruby On Rails. You won't get to learn these in the classroom.
Be it for a resume point, or as addition to your skills, or an experiment
to explore, you get the firsthand working experience on demanding projects, as a part of a team of like minded people.
This point tends to be at the last, even though it should be placed before any other point: You’ll get paid. Paid for the work you do. Paid on an hourly basis.  Isn’t that just cool, earning while sitting at home?
During the course of the internship, we’ll also be training you and assisting you in learning a few platforms/frameworks, depending on the project you are assigned to and what you’d like to learn. LAMP Stack.
Ruby on Rails. Android Studio. MEAN Stack. Platforms with a techy sounding names, that are hot in the market. Skills that you can proudly boast about in your resume. Languages that many of your friends in even CS
wouldn’t know. Oh, did we mention than our past team members have been placed in awesome companies like Samsung, Qualcomm, Paytm, Barclays, J.P. Morgan and may more!
We’ll also be awarding you certificates from the Institute Web/Mob Ops team of IIT Madras on successfully interning with us. You’ll also have learned at least one programming language, with enough skill to
open further avenues. It’ll definitely be a help in getting you a good internship/placement, so why not put your summer to a better use?
One of the few advantages of having low awareness amongst people is that if you apply, you have a good chance of getting selected, because not a lot of people are even aware we're hiring. No, it's not tough. The work
does not involve you running around, meeting people, organizing events, etc. What we do instead is just sit - sit and think. Think and code(How we spend the next three hours debugging our genius code is another
thing).
The application ought to reflect that, so it will require you to solve a few programming tasks
You'll be assisting us with certain projects that we have recieved from teams all over the institute, throughout the course of the summer. Don't worry, we'll assing you work in small chunks, and guide you through all
of it. Afterall we've been there too.
Alongwith the work, we'll also be teaching you new platforms/languages from scratch. If you put in a decent amount of effort, you'll be skilled enough with at least one
boastable skill in terms of web/mobile development.
[There might even be a treat once you all come to insti in August, in the end.  Fill this Google Form first. Also, Click here to download the application for the internship. Have a look
at the app, and then read further.
Had a look? Of course you didn't. Fine, here's what we wanted to convey: The app is quite lengthy, as a whole, but YOU DO NOT HAVE TO ATTEMPT ALL OF IT. Firstly, you
are expected to do only one - WebOps or MobOps. In WebOps as well, it's not compulsory to attempt all.  NO ONE WILL BE ABLE TO DO THE WHOLE THING. We'll grade
you on the basis of what you do. We need creative thinkers, not diligent noobs.
Core, Institute WebOps
+91 95661 02389
<EMAIL_ADDRESS>Core, Institute MobOps
+91 76651 03021
<EMAIL_ADDRESS>For (super)coordinator
We don't want the most sophisticated porgrammers who even write simple webpages in nothing more than Assembly language, and insist on debugging binary machine code. We want someone who can go through the tasks, breaking them down, solving them(while making a really good use of Google apart from searching porn), and build a functioning end product. Someone who has an overall zeal to work(offdays where you don't wanna code are okay). And most importantly, someone who does not use Internet Explorer.


China central bank says will maintain prudent policy to prevent inflation from spreading
by ReutersBEIJING — China’s central bank said on Saturday that it will maintain prudent monetary policy to prevent inflation from spreading.
In a third-quarter policy report released on Saturday, the People’s Bank of China (PBOC) also said it will look to significantly lower real interest rates through reforms.
It said the weighted average lending rate fell 4 basis points in third quarter to 5.62%.
It also said it is looking at plans to switch the benchmark rate for existing loans to the new loan prime rate (LPR) that was launched in August. (Reporting by Cate Cadell; Editing by Kim Coghill)


This is a placeholder web page that can be changed by editing or replacing the index.html document.
For information on different methods of editing web pages, technologies involved or how you can get help, see the link below.
Contact: leosuw.edu


Introduction.
Lookup is a fully accessible tool, that puts tons of information just a few key presses away. Some highlights include:
- Just sits in the background until you need it.
- Very light on system resources.
- Very user-friendly interface.
- 100% accessible to screen readers and other assistive technologies.
- And a lot more!
What can it do?
Currently, Look up can:
- Fetch random activities from the Bored API.
- Get forismatic quotes.
- Get advice slips.
- Define words.
- Search Urban Dictionary.
- Show you dad jokes.
- And more coming soon!
Main window.
The main window is fairly simple, only containing a few controls. They are:
- A combo box where you choose what you want to do.
- A “Go” button. Press this to carry out the selected action.
- A “Close” button. Use this to exit the application. It’s worth noting this is the only way to exit, alt+f4 hides the window.
Changelog.
0.30.
- Completely re-designed the interface! No more dialogs for everything!
0.22.
- You’re now alerted if the word definer found no definitions.
- You can no longer enter blank words in the word definer dialog.
- Fixed the title of the Bored API fetcher dialog.
0.20
- Word definer is now displayed much nicer.
- Pressing Alt+f4 now hides the window, doesn’t exit. To exit, use the close button.
- You can now fetch advice slips.
- You can now hide and unhide the window.
- Added the ability to fetch dad jokes.
0.12
- Added Urban Dictionary search.
- Users are no longer flutted with debug info.
0.11


| Climatic |
BIO2 = Mean Diurnal Range (Mean of monthly (max temp − min temp)) |
| BIO8 = Mean Temperature of Wettest Quarter |
| BIO10 = Mean Temperature of Warmest Quarter |
| BIO11 = Mean Temperature of Coldest Quarter |
| BIO15 = Precipitation Seasonality (Coefficient of Variation) |
| BIO17 = Precipitation of Driest Quarter |
| BIO18 = Precipitation of Warmest Quarter |
| BIO19 = Precipitation of Coldest Quarter |
| Topographic |
Alt = Altitude |


Now that we have a Kubernetes cluster and Helm setup, we can proceed by using Helm to install JupyterHub and related Kubernetes resources using a Helm chart.
In this step we will prepare a YAML configuration file that we will refer to as config.yaml. It will contain the multiple Helm values to be provided to a JupyterHub Helm chart developed specifically together with this guide.
config.yaml
Helm charts contains templates that with provided values will render to Kubernetes resources to be installed in a Kubernetes cluster. This config file will provide the values to be used by our Helm chart.
Generate a random hex string representing 32 bytes to use as a security token. Run this command in a terminal and copy the output:
openssl rand -hex 32
Create and start editing a file called config.yaml. In the code snippet below we start the widely available nano editor, but any editor will do.
nano config.yaml
Write the following into the config.yaml file but instead of writing <RANDOM-HEX> paste the generated hex string you copied in step 1.
<RANDOM-HEX>
proxy: secretToken: "<RANDOM_HEX>"
Note
It is common practice for Helm and Kubernetes YAML files to indent using two spaces.
Save the config.yaml file. In the nano editor this is done by pressing CTRL+X or CMD+X followed by a confirmation to save the changes.
Make Helm aware of the JupyterHub Helm chart repository so you can install the JupyterHub chart from it without having to use a long URL name.
helm repo add jupyterhub https://jupyterhub.github.io/helm-chart/ helm repo update
This should show output like:
Hang tight while we grab the latest from your chart repositories... ...Skip local chart repository ...Successfully got an update from the "stable" chart repository ...Successfully got an update from the "jupyterhub" chart repository Update Complete. ⎈ Happy Helming!⎈
Now install the chart configured by your config.yaml by running this command from the directory that contains your config.yaml:
# Suggested values: advanced users of Kubernetes and Helm should feel # free to use different values. RELEASE=jhub NAMESPACE=jhub helm upgrade --cleanup-on-fail \ --install $RELEASE jupyterhub/jupyterhub \ --namespace $NAMESPACE \ --create-namespace \ --version=0.9.0 \ --values config.yaml
where:
RELEASE refers to a Helm release name, an identifier used to differentiate chart installations. You need it when you are changing or deleting the configuration of this chart installation. If your Kubernetes cluster will contain multiple JupyterHubs make sure to differentiate them. You can list your Helm releases with helm list.
RELEASE
helm list
NAMESPACE refers to a Kubernetes namespace, an identifier used to group Kubernetes resources, in this case all Kubernetes resources associated with the JupyterHub chart. You’ll need the namespace identifier for performing any commands with kubectl.
NAMESPACE
kubectl
This step may take a moment, during which time there will be no output to your terminal. JupyterHub is being installed in the background.
If you get a release named <YOUR-RELEASE-NAME> already exists error, then you should delete the release by running helm delete <YOUR-RELEASE-NAME>. Then reinstall by repeating this step. If it persists, also do kubectl delete namespace <YOUR-NAMESPACE> and try again.
release named <YOUR-RELEASE-NAME> already exists
helm delete <YOUR-RELEASE-NAME>
kubectl delete namespace <YOUR-NAMESPACE>
In general, if something goes wrong with the install step, delete the Helm release by running helm delete <YOUR-RELEASE-NAME> before re-running the install command.
If you’re pulling from a large Docker image you may get a Error: timed out waiting for the condition error, add a --timeout=<NUMBER-OF-MINUTES>m<NUMBER-OF-SECONDS>s parameter to the helm install command.
Error: timed out waiting for the condition
--timeout=<NUMBER-OF-MINUTES>m<NUMBER-OF-SECONDS>s
helm install
The --version parameter corresponds to the version of the Helm chart, not the version of JupyterHub. Each version of the JupyterHub Helm chart is paired with a specific version of JupyterHub. E.g., 0.7.0 of the Helm chart runs JupyterHub 0.9.2. For a list of which JupyterHub version is installed in each version of the Z2JH Helm Chart, see the Helm Chart repository.
--version
0.7.0
0.9.2
While Step 2 is running, you can see the pods being created by entering in a different terminal:
kubectl get pod --namespace jhub
To remain sane we recommend that you enable autocompletion for kubectl and set a default value for the --namespace flag:
--namespace
kubectl config set-context $(kubectl config current-context) --namespace ${NAMESPACE:-jhub}
Wait for the hub and proxy pod to enter the Running state.
Running
Find the IP we can use to access the JupyterHub. Run the following command until the EXTERNAL-IP of the proxy-public service is available like in the example output.
EXTERNAL-IP
proxy-public
kubectl get service --namespace jhub
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE hub ClusterIP <IP_ADDRESS> <none> 8081/TCP 1m proxy-api ClusterIP <IP_ADDRESS> <none> 8001/TCP 1m proxy-public LoadBalancer <IP_ADDRESS> <IP_ADDRESS> 80:31916/TCP 1m
If the IP for proxy-public is too long to fit into the window, you can find the longer version by calling:
kubectl describe service proxy-public --namespace jhub
To use JupyterHub, enter the external IP for the proxy-public service in to a browser. JupyterHub is running with a default dummy authenticator so entering any username and password combination will let you enter the hub.
Congratulations! Now that you have basic JupyterHub running, you can extend it and optimize it in many ways to meet your needs.
Some examples of customisations are:
Configure the login to use the account that makes sense to you (Google, GitHub, etc.).
Use a suitable pre-built image for the user container or build your own.
Host it on https://your-domain.com.
…


CJ Wilson
From Zero to Zen: Software Development is Practice
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