Wednesday July 4
|
All Levels |
|
|
Grand ABCD ↓ |
|
|
6:30-6:45p |
Trails End Pre-Dance Ross Howell & Arlene Kaspik |
|
6:45-7:00p |
Trails End Pre-Dance Bex Clark & Dan Lyke |
|
7-10p |
Trails End Dance Ett McAtee & Bill Eyler |
Thursday July 5
|
M/S |
Plus |
Adv |
C1 |
C2 |
C3a |
C3b/C4 |
Specialty* (All levels) |
|
|
Redwood ↓ |
Grand D ↓ |
Grand C ↓ |
Grand B ↓ |
Grand A ↓ |
Metro A ↓ |
Willow ↓ |
||
|
9-10a |
Opening |
|||||||
|
10-11a |
Jennifer Engimann Todd |
Arlene Kaspik Gary |
Joe |
Michael Maltenfort Sandie |
Anne |
Vic |
Barry |
|
|
11-12p |
Dan Lyke Michael |
Karla Westphal Todd |
Jane Clewe Anne (A1) |
Abe Feldman Joe |
Ken Sale Kris |
Michael Maltenfort Ross |
Osamu Miyabe |
|
|
12-2p |
Lunch (on your own) |
|||||||
|
2-3p |
Arlene Kaspik Kris |
Kurt Golhardt Vic |
Scott Amspoker Todd |
Jennifer Engimann Ross |
Kent Forrester Joe |
Jane Clewe Gary |
Bill van Melle Sandie (C4) |
Denmark* Metro B |
|
3-4p |
Cliff Simpson Barry |
Aahz Sandie |
Scott Amspoker Todd |
Michael Levy Gary |
Bill van Melle Michael |
Ryo Sasaki |
Women’s Kris & Diana Wedel Grand C |
|
|
4-5p |
Zip Warmerdam Harlan |
Michael Maltenfort Kris |
Brian Jarvis Vic |
Scott Amspoker Michael |
Osamu Miyabe Todd |
Ken Sale Joe |
Leather Anne & Ross Grand D |
|
|
5-7p |
Dinner (on your own) |
|||||||
|
7-8p |
Aahz Joe |
Jennifer Engimann Vic |
Abe Feldman Michael |
Jane Clewe Kris |
Osamu Miyabe Todd |
Rusty Barry |
Bill van Melle Anne |
Magic underpants Darren Gallina Metro B |
|
8-9p |
Marge Cochran Todd |
Mark Seaman Michael |
Kent Forrester Sandie |
Ken Sale Joe |
Brian Jarvis Vic |
Ryo Sasaki Kris |
Jane Clewe Ross |
Taste of Square Dancing A=Gary Metro B (till 9:30) |
|
9-10p |
Dan Lyke Kris |
Cliff Simpson Anne |
Kurt Gollhardt Ross |
Michael Levy Michael |
Jennifer Engimann Barry |
Todd |
Osamu Miyabe Ett |
|
|
10-? |
Country Western Dance Grand C & D |
Friday July 6
|
M/S |
Plus |
Adv |
C1 |
C2 |
C3a |
C3b/C4 |
Specialty (All levels) |
|
|
Redwood ↓ |
Grand D ↓ |
Grand C ↓ |
Grand B ↓ |
Grand A ↓ |
Metro A ↓ |
Willow ↓ |
||
|
9-10a |
Michael Levy Ross |
Marge Cochran Kris |
Brian Jarvis Vic |
Abe Feldman Barry |
Kent Forrester Joe |
Anne |
Ryo Sasaki Todd |
|
|
10-11a |
Kent Forrester Michael |
Karla Westphal Ross |
Aahz Kris |
Abe Feldman Gary |
Jane Clewe Sandie |
Michael Maltenfort Joe |
Ken Sale Vic |
Out of the Darkness Ett & Todd Metro B |
|
11-12p |
Mark Seaman Bill |
Arlene Kaspik Gary |
Jennifer Engimann Michael |
Kurt Gollhardt Ett |
Brian Jarvis Todd |
Rusty Sandie |
Jane Clewe Barry (C4) |
|
|
12-1:30p |
Lunch (on your own) |
|||||||
|
1:30-2:30p |
Scott Amspoker Vic |
Tom Kaiser Todd |
Michael Levy Gary |
Brian Jarvis Anne |
Ryo Sasaki Michael |
Ken Sale Kris |
Michael Maltenfort Sandie |
Pop Star Patter Darren Gallina Metro B |
|
2:30-3:30p |
Jennifer Engimann Sandie |
Dan Lyke Barry |
Ryo Sasaki |
Kent Forrester Anne |
Michael Maltenfort Michael |
Bill van Melle Todd |
Bear Gary & Bill Eyler Grand C |
|
|
Redwood ↓ |
Metro B ↓ |
Metro A ↓ |
Willow ↓ |
Ravenna A ↓ |
Ravenna C ↓ |
|||
|
3:30-4:30p |
Gary |
Joe |
Barry (A1) |
Anne |
Ross |
Ryo & Osamu (3a+b) |
||
|
4:30-7p |
Banquet Grand ABCD |
|||||||
|
7-8p |
Todd |
Barry |
Anne |
Ross |
Joe |
Harlan (3a+b) |
||
|
8-9p |
Vic |
Gary |
Todd |
Barry |
Kris |
Sandie (3a+b) |
||
|
9-10p |
Tom Kaiser Barry |
Abe Feldman Michael |
Kurt Gollhardt Sandie |
Kent Forrester Todd |
Moonshine Anne & Vic Ravenna |
|||
|
10-? |
Honky Tonk Queen |
|
M/S |
Plus |
Adv |
C1 |
C2 |
C3a |
C3b/C4 |
Specialty (All levels) |
|
|
9-11a |
Brunch(Cocktails at 8:30) Grand ABCD |
|||||||
|
Redwood |
Metro B |
Metro A |
Willow |
Ravenna A |
Ravenna C |
|||
|
12-1p |
Bill |
Kris |
Vic |
Barry |
Medallion Harlan Metro A |
|||
|
Redwood ↓ |
Grand D ↓ |
Grand C ↓ |
Grand B ↓ |
Grand A ↓ |
Metro A ↓ |
Willow ↓ |
||
|
1-2p |
Joe |
Ross |
Barry |
Michael |
Gary |
Vic |
Sandie |
|
|
2-3p |
Karla Westphal Gary |
John Oldfield Ryo |
Cliff Simpson Michael |
Bex Clark Anne |
Rusty Sandie |
Joe |
Osamu Miyabe Vic (C4) |
|
|
3-4p |
Arlene Kaspik Harlan |
Evil Twins Grand C |
Zip Warmerdam Joe Grand D |
Jennifer Engimann Gary |
Brian Jarvis Ross |
Osamu Miyabe Kris |
Bill van Melle Barry |
Intro to Calling GCA Metro B |
|
4-5p |
Cliff Simpson Ett |
Jennifer Engimann Michael |
John Oldfield Ross |
Kris |
Bill van Melle Vic |
Gary |
Ryo Sasaki Harlan |
|
|
5-7p |
Dinner (on your own) |
|||||||
|
7-8p |
Zip Warmerdam Ryo |
Karla Westphal Joe |
Gary |
John Oldfield Sandie |
Kent Forrester Michael |
Jane Clewe Anne |
Ken Sale Ross |
|
|
8-9p |
Dan Lyke Anne |
Zip Warmerdam Sandie |
Aahz Joe |
Michael Levy Vic |
Kris |
Jane Clewe Barry |
Osamu Miyabe Harlan |
|
|
9-10p |
Closing (All levels) |
Saturday July 7


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---
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title: Page 58
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{% raw %}50{% endraw %}
{% raw %}JACOB HODGES.{% endraw %}
{% raw %}lief that a sense of pardon will afford{% endraw %}
{% raw %}to tne wounded spirit, as it abandons{% endraw %}
{% raw %}its fruitless efforts to find peace any¬{% endraw %}
{% raw %}where but in the cross of Christ. When{% endraw %}
{% raw %}in deep agony of soul he had been point¬{% endraw %}
{% raw %}ed to the Saviour, his own happy expe¬{% endraw %}
{% raw %}rience was to him abundant proof of{% endraw %}
{% raw %}Christ's willingness and power to save{% endraw %}
{% raw %}even the chief of sinners. The suffering{% endraw %}
{% raw %}girl, he saw to be more in need of faith{% endraw %}
{% raw %}in Christ, than of an increased sense of{% endraw %}
{% raw %}sin and of her lost condition.{% endraw %}
{% raw %}To bring her to the cross, he ktiew that{% endraw %}
{% raw %}every false refuge must be torn away.{% endraw %}
{% raw %}Instead of meeting their request to pray,{% endraw %}
{% raw %}calling his young friend by name, he said{% endraw %}
{% raw %}to her, in tones peculiarly tender and im¬{% endraw %}
{% raw %}pressive, "Go and give your heart to{% endraw %}
{% raw %}Christ, at once," and left the room. His{% endraw %}
{% raw %}own experience had taught him the dan¬{% endraw %}
{% raw %}ger of imparting ease to the stricken soul{% endraw %}
{% raw %}oy Christiar. sympathy and prayer, where{% endraw %}
{% raw %}there was no repentance and faith in{% endraw %}
{% raw %}Cnrist. There was conscious rectitude in{% endraw %}


Day-dream reconstruction of a night dream.
A nightmare manifested itself in an orange
exso-suit, much like Seamus Aran
in Metroid Prime (the Gamecube version).
Three drawers comprising a big tube, grafted into my left arm.
Two spiral cords drilled through, the middle drawer.

The recoil was powerful enough to cleave
a human skull in two.
The outburst of the reaction
looked like a two-fold pieces
of an elbow blade.
The reload ended with a diagonal
pounding of the ground with my left hand.
The shotgun is now loaded,
dream reconstructed,
I can now open my eyes and face the
mundane reality of my life once more.


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FAILED - 'all' styles not applied


Advanced Build Configurations¶
Introduction¶
CMake is a cross-platform build-generator tool. CMake does not build the project, it generates the files needed by your build tool (GNU make, Visual Studio, etc.) for building LLVM.
If you are a new contributor, please start with the Getting Started with the LLVM System or Building LLVM with CMake pages. This page is intended for users doing more complex builds.
Many of the examples below are written assuming specific CMake Generators. Unless otherwise explicitly called out these commands should work with any CMake generator.
Bootstrap Builds¶
The Clang CMake build system supports bootstrap (aka multi-stage) builds. At a high level a multi-stage build is a chain of builds that pass data from one stage into the next. The most common and simple version of this is a traditional bootstrap build.
In a simple two-stage bootstrap build, we build clang using the system compiler, then use that just-built clang to build clang again. In CMake this simplest form of a bootstrap build can be configured with a single option, CLANG_ENABLE_BOOTSTRAP.
$ cmake -G Ninja -DCLANG_ENABLE_BOOTSTRAP=On <path to source>
$ ninja stage2
This command itself isn’t terribly useful because it assumes default configurations for each stage. The next series of examples utilize CMake cache scripts to provide more complex options.
The clang build system refers to builds as stages. A stage1 build is a standard build using the compiler installed on the host, and a stage2 build is built using the stage1 compiler. This nomenclature holds up to more stages too. In general a stage*n* build is built using the output from stage*n-1*.
Apple Clang Builds (A More Complex Bootstrap)¶
Apple’s Clang builds are a slightly more complicated example of the simple bootstrapping scenario. Apple Clang is built using a 2-stage build.
The stage1 compiler is a host-only compiler with some options set. The stage1 compiler is a balance of optimization vs build time because it is a throwaway. The stage2 compiler is the fully optimized compiler intended to ship to users.
Setting up these compilers requires a lot of options. To simplify the configuration the Apple Clang build settings are contained in CMake Cache files. You can build an Apple Clang compiler using the following commands:
$ cmake -G Ninja -C <path to clang>/cmake/caches/Apple-stage1.cmake <path to source>
$ ninja stage2-distribution
This CMake invocation configures the stage1 host compiler, and sets CLANG_BOOTSTRAP_CMAKE_ARGS to pass the Apple-stage2.cmake cache script to the stage2 configuration step.
When you build the stage2-distribution target it builds the minimal stage1 compiler and required tools, then configures and builds the stage2 compiler based on the settings in Apple-stage2.cmake.
This pattern of using cache scripts to set complex settings, and specifically to make later stage builds include cache scripts is common in our more advanced build configurations.
Multi-stage PGO¶
Profile-Guided Optimizations (PGO) is a really great way to optimize the code clang generates. Our multi-stage PGO builds are a workflow for generating PGO profiles that can be used to optimize clang.
At a high level, the way PGO works is that you build an instrumented compiler, then you run the instrumented compiler against sample source files. While the instrumented compiler runs it will output a bunch of files containing performance counters (.profraw files). After generating all the profraw files you use llvm-profdata to merge the files into a single profdata file that you can feed into the LLVM_PROFDATA_FILE option.
Our PGO.cmake cache script automates that whole process. You can use it by running:
$ cmake -G Ninja -C <path_to_clang>/cmake/caches/PGO.cmake <source dir>
$ ninja stage2-instrumented-generate-profdata
If you let that run for a few hours or so, it will place a profdata file in your build directory. This takes a really long time because it builds clang twice, and you must have compiler-rt in your build tree.
This process uses any source files under the perf-training directory as training data as long as the source files are marked up with LIT-style RUN lines.
After it finishes you can use “find . -name clang.profdata” to find it, but it should be at a path something like:
<build dir>/tools/clang/stage2-instrumented-bins/utils/perf-training/clang.profdata
You can feed that file into the LLVM_PROFDATA_FILE option when you build your optimized compiler.
The PGO came cache has a slightly different stage naming scheme than other multi-stage builds. It generates three stages; stage1, stage2-instrumented, and stage2. Both of the stage2 builds are built using the stage1 compiler.
The PGO came cache generates the following additional targets:
- stage2-instrumented
- Builds a stage1 x86 compiler, runtime, and required tools (llvm-config, llvm-profdata) then uses that compiler to build an instrumented stage2 compiler.
- stage2-instrumented-generate-profdata
- Depends on “stage2-instrumented” and will use the instrumented compiler to generate profdata based on the training files in <clang>/utils/perf-training
- stage2
- Depends of “stage2-instrumented-generate-profdata” and will use the stage1 compiler with the stage2 profdata to build a PGO-optimized compiler.
- stage2-check-llvm
- Depends on stage2 and runs check-llvm using the stage2 compiler.
- stage2-check-clang
- Depends on stage2 and runs check-clang using the stage2 compiler.
- stage2-check-all
- Depends on stage2 and runs check-all using the stage2 compiler.
- stage2-test-suite
- Depends on stage2 and runs the test-suite using the stage3 compiler (requires in-tree test-suite).
3-Stage Non-Determinism¶
In the ancient lore of compilers non-determinism is like the multi-headed hydra.
Historically one of the tests to verify that a compiler was deterministic would be a three stage build. The idea of a three stage build is you take your sources and build a compiler (stage1), then use that compiler to rebuild the sources (stage2), then you use that compiler to rebuild the sources a third time (stage3) with an identical configuration to the stage2 build. At the end of this, you have a stage2 and stage3 compiler that should be bit-for-bit identical.
You can perform one of these 3-stage builds with LLVM & clang using the following commands:
$ cmake -G Ninja -C <path_to_clang>/cmake/caches/3-stage.cmake <source dir>
$ ninja stage3
After the build you can compare the stage2 & stage3 compilers. We have a bot setup here that runs this build and compare configuration.


Getting setup with an IDE
This section will help you get started with the source code on any of the following operating systems.
Clone the repo
First clone the latest version of the Dev branch from github
Working with Windows(7,10), Mac and Linux (Ubuntu Desktop) with IDEA Ultimate
It is recommended that you use an IDE to work on this project as it will provide many helper functions and build tools that make working with sbt and scala and lot easier to manage.
The recommended IDE is Intellij IDEA ULTIMATE because of its Scala support, and relative ease of use. If you have any suggestions for alternate ways of working with this project please let us know by opening an issue. Otherwise the following is a guide to getting setup with IntelliJ IDEA Ultimate.
-
When you first open IntelliJ IDEA, We first want to ensure you have the correct plugins. Click configure at the bottom of the start screen and choose Plugins. Check that you have the ‘Scala’ and SBT plugins installed. If this is the first time you have run IntelliJ you most likely won’t.
-
Click Browse Repositories at the bottom and type in Scala to search for it then click install plugin. Do the same for the plugin called SBT. Below is the plugins that you want to install.
-
Once you have installed both plugins it will direct you to restart IntelliJ. Once restarted select ‘Import Project’ and navigate to the directory where you cloned the repo too and choose the build.sbt file.
-
Make sure Download library sources is ticked and that your Project JDK is chosen. If not you will need to select your JDK, You will need the 1.8 JRE and JDK found here. Then click the New Button > JDK and navigate to your java JRE In most cases it should be installed to
C:\Program Files\Java\jdk1.8.x
and click ok. -
Once you click ok IntelliJ may take a while syncing the project(20-40 minutes for first time) Keep an eye on the progress bar at the bottom and wait until it is complete.
-
Once it has synced open the app folder and then open the view folder. Right click on HomePage and select ‘Run Play 2 App’ this will automatically generate your run configuration. It may also download a number of files that SBT needs which may take some time. Once it has compiled and built you may find it will crash with an Out Of Memory Error. Let’s fix that now.
-
Go to the Run Menu at the top and choose ‘Edit Configuration’, There are a few things we want to change here.
- First we want to check that the URL to open is
http://localhost:9000
- Then we want to enter some custom JVM Options
-Xms512M -Xmx6000M -Xss1M -XX:+CMSClassUnloadingEnabled -XX:MaxPermSize=256M
replacing whatever is already there. - Lastly we want to enter some Environment Variables click the folder icon then the + symbol under ‘Name’ enter
TAP_HOSTS
and under ‘Value’ enterlocalhost:9000
- Click Apply then ok.
- First we want to check that the URL to open is
-
Great now you can right click HomePage again and select ‘Run Play 2 App’ and it should compile and load up the homepage.
-
You are good to go! Try visiting the graphql interface and see what it can do!
Document Last Updated on 21/11/2018


A kinect cloud output writer which writes Point Clouds to the hard disk according to the set Configuration. Writing can be done multi-threaded.
More...
#include <KinectCloudFileWriter.h>
|
| void | pushCloudAsync (boost::shared_ptr< pcl::PointCloud< PointCloudType >> cloud) |
| | Pushes a cloud into the buffer holding the Point Clouds to be written to the hard drive. More...
|
| |
| void | pushCloudsAsync (std::vector< boost::shared_ptr< pcl::PointCloud< PointCloudType >>> clouds) |
| | Pushes a list of Point Clouds into the buffer holding the Point Clouds to be written to the hard drive. More...
|
| |
|
void | startWritingClouds () |
| | Triggers the start of writing the buffered clouds.
|
| |
|
void | stopWritingClouds () |
| | Triggers the stop of writing the buffered clouds.
|
| |
| void | setRecordingConfiguration (IRecordingConfigurationPtr recordingConfiguration) |
| | Sets recording configuration for the writing. More...
|
| |
| bool | pullData (PointCloudMeasurement< PointCloudType > &measurement) |
| | Fills the given measurement with most recent data. More...
|
| |
|
|
boost::signals2::signal< void()> | writingFinished |
| | The signal notfying that the writer finished.
|
| |
|
boost::signals2::signal< void(std::wstring)> | updateStatus |
| | The signal notfying about changes of the writing status.
|
| |
|
boost::signals2::signal< void(void)> | writingWasStopped |
| | The signal notifying about the stop of the writing by the user.
|
| |
template<class PointCloudType>
class KinectCloudFileWriter< PointCloudType >
A kinect cloud output writer which writes Point Clouds to the hard disk according to the set Configuration. Writing can be done multi-threaded.
- Template Parameters
-
| PointCloudType | Type of the point cloud type. |
template<typename PointCloudType >
Fills the given measurement with most recent data.
- Parameters
-
| [in,out] | measurement | The measurement. |
- Returns
- true the source is empty or not running, otherwise false
Implements CloudMeasurementSource< PointCloudType >.
template<typename PointCloudType >
| void KinectCloudFileWriter< PointCloudType >::pushCloudAsync |
( |
boost::shared_ptr< pcl::PointCloud< PointCloudType >> |
cloud | ) |
|
Pushes a cloud into the buffer holding the Point Clouds to be written to the hard drive.
- Parameters
-
| cloud | The cloud to be pushed. |
template<typename PointCloudType >
| void KinectCloudFileWriter< PointCloudType >::pushCloudsAsync |
( |
std::vector< boost::shared_ptr< pcl::PointCloud< PointCloudType >>> |
clouds | ) |
|
Pushes a list of Point Clouds into the buffer holding the Point Clouds to be written to the hard drive.
- Parameters
-
template<typename PointCloudType >
| void KinectCloudFileWriter< PointCloudType >::setRecordingConfiguration |
( |
IRecordingConfigurationPtr |
recordingConfiguration | ) |
|
Sets recording configuration for the writing.
- Parameters
-
| recordingConfiguration | The recording configuration. |
The documentation for this class was generated from the following files:
- C:/Users/Martin/Documents/idp-kinecthdfacegrabber/KinectCloudFileWriter.h
- C:/Users/Martin/Documents/idp-kinecthdfacegrabber/KinectCloudFileWriter.cpp


| 801 | (A) | For there were selcouthes sene als segges may here |
| 805 | (C) | Ther were meruayles mony . as men may here |
| 797 | (D) | þer were selcouthis y-sene as segges mygħt sene |
| (E) | ---- no text ---- | |
| (Ex) | ---- no text ---- | |
| 821 | (L) | þer were selcouþes sen as segges mowe here |
| 747 | (P) | þer war selcouth signes als seges may here |
| 784 | (U) | There were segges many / sey selkouthe thinges |
| (V) | ---- no text ---- |


Author<EMAIL_ADDRESS>(Jerry Saravia) Subject: Review: Crouching Tiger, Hidden Dragon (2000) Approved<EMAIL_ADDRESS>Newsgroups: rec.arts.movies.reviews Organization: None X-Questions-to<EMAIL_ADDRESS>X-Submissions-to<EMAIL_ADDRESS>Followup-To: rec.arts.movies.current-films Summary: r.a.m.r. #28088 Keywords: author=saravia
CROUCHING TIGER, HIDDEN DRAGON Reviewed on March 28th, 2001 By Jerry Saravia
The title of director Ang Lee's latest was a turn-off to me. I suppose Chinese titles turn me off in general, but something like "A Chinese Ghost Story" made me swoon. Nonetheless, though I can't exactly explain the significance of the title, "Crouching Tiger, Hidden Dragon" is one of the most exciting martial-arts films ever made - a glorious, magical thrill ride that Hollywood can only think of aspiring to.
Set in ancient imperial China, we are introduced to the magnetic Yu Shu Lien (Michelle Yeoh), a skillful, graceful warrior who learns that a legendary, powerful sword has been stolen from its owner, Lee Mu Bai (Chow Yun-Fat), another highly skilled warrior and good friend of Yu Shu's. They both try to track down a masked thief, who is almost as graceful as both of them combined. This masterfully trained thief can scale walls and fly with such ease that Yu Shu and Lee Mu are determined to uncover his/her identity. It turns out that the culprit is Jen (Zhang Ziyi), a guest at the home of the respected Sir Te (Lung Sihung). Jen has her emotional problems and pines for a warrior who lives out in the desert netheregions. She is also fierce and hardly tactful - when she gets angry, she is likely to make Robert De Niro shudder with fright. I am not sure anyone would want to be within ten yards of this soaring, sweep-of-of-your-feet presence. Looks like an angel but she is as fierce as a tiger.
The difference between "Crouching Tiger" and several other hundred martial-arts films is in its emotional truths and romantic subplots. We sense that Yu Shu loves Lee Mu and wishes some kind of future for the two of them, even if they are flying high among treetops and rooftops. Jen is the more complicated character of the bunch, she has her questionable loyalty to her mother but also a love for the long-haired warrior of the desert, who makes her feel love over pain (and sometimes both). This magical sword she has stolen gives her a power that she can barely control...and thus, it seems she has little control of her own life.
Yeoh and the often static Chow Yun-Fat (who brims with magnetism in this film) bring heart and soul to "Crouching Tiger" but it is the amazing Zhang Ziyi who soars above them all. She is quick, smart, clever, passionate, tempermental, confident, and genuinely convincing as a warrior with no qualms of fighting her respectful elders - we also sense she could fail but it is quietly compelling to watch this woman trying to balance her world.
Every sequence in "Crouching Tiger, Hidden Dragon" is sheerly amazing and wondrous in detail and magnificence. Every fight scene feels honest and truthful, no matter how silly it may seem to some that the characters can fly with grace and agility (China is used to this sort of thing since it relates to their own past legends and numerous other films). Again, it is because of how powerful the characters are - they stand for something and represent their own people but they also have values and morals. Jen is the rebel ready to break down their fortress - she acts out her own feelings rather than repressing them. Essentially, Ang Lee ("Sense and Sensibility") has created his own "Star Wars" for the new millenium. Spectacularly exciting, tense, romantic, dramatic, idiosyncratic at times, "Crouching Tiger, Hidden Dragon" stuns our eyes and engages our hearts. George Lucas can only hope of accomplishing this much with his next "Star Wars" opus.
For more reviews, check out JERRY AT THE MOVIES at http://moviething.com/members/movies/faust/JATMindex.shtml
E-mail me with any questions, comments or general complaints at<EMAIL_ADDRESS>or at<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Advanced Visualization: Style Properties
This short protocol reviews advanced style options available.
Mapping, Default and Bypass
For each property, styles are defined in columns Def. (default),
Map. (mapping), and Byp. (bypass).
- Without a specific style mapping, each property will be defined by its Default.
- Any mappings defined by the user or current style will be shown in the Mapping column.
- Bypass is used to override both the mapping (if any) and the default.
Setting a Bypass
The following example uses the Yeast Perturbation example session file.
- Select the nodes or edges in the network for which you want to set the visual property. In the example below, the STE12 node is selected.
- In the Style panel for Node, click the Map. column for Fill Color. Note the existing mapping to gal1RGExp.
- Click the Byp. column, and in the interface that opens, set the value as desired, for example red.
Setting a Bypass
The resulting style will look like this:
- The altered properties will be permanently set for the selected nodes or edges.
- To clear the value, select the nodes or edges again, right-click on the Byp.column and select Remove Bypass.


IPSASB | Government Accounting | Public Sector Accounting - IFAC
IPSASB develops international public sector accounting standards and resources for accountants in public sector entities around the world. . All rights reserved. Any person accessing this site agrees to the Terms of Use and Privacy Policy.
http://www.ifac.org/public-sector
Treatment for Herniated or Bulging Discs
Governmental accounting - Wikipedia, the free encyclopedia
There is an important difference between private sector accounting and . In other words, the representatives of the public, and officials appointed by them, must .
http://en.wikipedia.org/wiki/Governmental_accounting
PUBLIC SECTOR ACCOUNTING
A. Institutional Framework for Public Sector Accounting. 5. The institutional . laws and regulations; education and training of public sector accountants; application of a code of conduct; and . report on key performance indicators, and. ? .
http://siteresources.worldbank.org/SOUTHASIAEXT/Resources/Publications/448813-1195243379044/sar_report-maldives-02.pdf
public sector accounting important terms Herniated or Bulging Discs
Public sector accounting practices still leave ordinary citizens baffled ...
Jun 5, 2012. Jump to site navigation [0]; Jump to search [4]; Terms and conditions [8] . As public sector accountants are busy finalising statutory accounts for the . Over the past few decades, accounting practices in the public sector .
http://www.guardian.co.uk/society/2012/jun/05/complex-public-sector-accounts-confuse-citizens
Public Sector - FEE: Fédération des Experts Comptables Européens ...
The Public Sector Committee addresses financial reporting, accounting and auditing . The term public sector refers not only to national, regional or local .
http://www.fee.be/currentissues/default.asp?events=True&library_ref=5&category_ref=137&private=False
Official Impairment Listing for Spinal Disorders
Terminology Guidelines for Public Sector Accounting
Nov 29, 2011 . Following the recommendations of the Public Sector Accounting Board . Below we have provided a table indicating the changes to key terms .
http://www.sse.gov.on.ca/mgs/onterm/en/Pages/rl_031002.aspx
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International Public Sector Accounting Standards (IPSASs)
International Public Sector Accounting Standards (IPSASs) are accounting . Long-term fiscal sustainability is the ability of a government to meet its . It is important to note that IPSAS do not apply to Government Business Enterprises ( GBE).
http://icpak.com/index.php?option=com_content&view=article&id=103&Itemid=112International Services | CIPFA | The Chartered Institute of Public ...
CIPFA are global experts in public financial management. . Certificate in International Public Sector Accounting Standards · Certificate in International Public .
http://www.cipfa.org/Services/International-Services
RIETI - Public Sector Accounting System and Public Governance
Public sector accounting is an accounting method applied to non-profit pursuing . In other words, optimal distribution of resources and optimal supply of goods and . which is closely linked to various political processes, are quite important.
http://www.rieti.go.jp/en/papers/research-review/003.html
International Public Sector Accounting Standards (IPSAS) - SAP.com
IPSAS, the standards do play an increasingly important role in the development and revision of national public sector accounting standards. IPSAS has taken on .
http://download.sap.com/download.epd?context=9D3524DCB53864EEE56FF3AB247A99BA7DC382EC59F9CFB02B89DC22E09C9D79563419CDE17C24110B5AFBED9B662F1E31DC1C51818C189F
Medical-Vocational Allowance for Herniated Disc
Public Sector Accounting - An Interdisciplinary Field Involving ...
Public sector accounting is considered to have been developed based on the business . It is important to recognize that both perspectives are . often places weight on the meaning of the system in terms of the relationships with related .
http://www.mof.go.jp/english/pri/publication/pp_review/ppr015/ppr015c.pdf
INTERNATIONAL PUBLIC SECTOR ACCOUNTING ... - IFAC
INTERNATIONAL PUBLIC SECTOR ACCOUNTING. STANDARDS BOARD. TERMS OF REFERENCE. History of the Terms of Reference. The Terms of .
https://www.ifac.org/sites/default/files/publications/files/A6_Terms_of_Reference_1.pdf
Appealing a Denial of Benefits
What is the important of public sector accounting
What is the important of public sector accounting? In: Uncategorized [Edit categories]. Answer: Explain why it's important to study public sector accounting.
http://wiki.answers.com/Q/What_is_the_important_of_public_sector_accounting
Study 13 - Governance in the Public Sector - IFAC
sector financial reporting, accounting and auditing. In this regard, the term public sector refers to national governments, regional . It is important that the drive to provide improved services at reduced costs should be sustained and that this .
http://www.ifac.org/sites/default/files/publications/files/study-13-governance-in-th.pdf


Creative Computing
Joel Gethin Lewis
Unit 6 / Block 2: "Creative Practice: Computational Environments for the Web": Assessment: Dress rehearsal presentation
Have you taken the register first? Are you recording?
What I'm going to talk about today:
- What questions to do you have for me?
- Assessment: Dress Rehearsal presentation: 5 minutes presentation (with shared doc made by viewers), 5 minutes discussion.
- What questions to do you have for me?
0. What questions to do you have for me?
- What questions to do you have for me?
- What are your concerns? What are you worried about? What do you want to ask but you are embarrassed?
- All questions allowed!
- 5 minutes to message me on Slack in private.
- This idea came from Zach Lieberman. He does this exercise at the start of every session of School of Poetic Computation in New York.
1. Assessment: Dress Rehearsal presentation: 5 minutes presentation (with shared doc made by viewers), 5 minutes discussion.
- Is there a better tool for this than Google Docs? Etherpad?
2. What questions to do you have for me?
- What questions to do you have for me?
- What are your concerns? What are you worried about? What do you want to ask but you are embarrassed?
- All questions allowed!


 Wish you have a happy and happy shopping day. Thank you - - - -
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DfE enquiries
Central newsdesk 020 7783 8300
General enquiries 0370 000 2288
Written statement to Parliament
Statement from Education Secretary Michael Gove on the industrial action in schools.
On Tuesday I gave a statement to the House on this Government’s response to the planned industrial action by two of the teaching unions. In that response I outlined the action I had taken and I also provided data on likely closures based on early estimates from local authorities and Academies.
We now have a fuller picture, updated this morning, based on data from all 152 local authorities and all 707 Academies.
Our data show that 5,679 local authority schools were closed, 4,999 were partially open and 5,860 were fully open, while the situation with a further 4,320 has not been reported to us or the local authority did not know.
The figures also show that of the 707 academies and City Technology Colleges, 201 were closed, 235 were partially open and 271 fully open.
This means that 27% of all Local Authority schools were closed, 24% were partially open and 28% were open. Data were unavailable for the remaining 21%. 28% of Academies were closed, 33% were partially open, and 38% were open.
I know that many teachers are concerned about the changes that have been proposed to their pensions. But I believe that we must resolve these differences through discussions and that the action today, while discussions are still going on, was disappointing and unnecessary. I am grateful to headteachers and governors who have worked hard to keep schools open. And I am particularly grateful to all those school staff who - while they may also have concerns about pensions - have decided to go into work today to minimise the impact on pupils and their parents. However I am also disappointed that there has been disruption to the lives of so many parents across the country. The Government remains committed to discussing pension reforms with all the teacher unions openly, honestly and constructively.
Central newsdesk 020 7783 8300
General enquiries 0370 000 2288
Published: 30 June 2011


Review samples of security code, and develop custom, reusable code for use in multiple applications. Submit your code for testing against known threat agents. Use the change control process specified in your security policy for storing code in a security code library.
Reusing security code creates a more-secure application for these reasons:
When working with various programming and scripting languages, create new versions of reusable security code as required for each programming language, such as Java, PHP, Python, Ruby and .NET. This includes routines for authentication, cryptographic, and logging code, for example.
The development of security code will generally parallel your software development lifecycle, and will follow these general steps.
Identify requirements and perform analysis. Identify requirements which this security code must address. Build use cases to identify user, required privileges, protocol, and messages.
Design software architecture. Develop specific code parameters to work within the application architecture boundary. Include inputs and outputs from the requirements specification. Use data flow diagrams and other illustrations to transform use cases into pseudo code.
Write software code. Actual coding is developed at this time. This is the longest phase of the cycle.
Test security code. Test the security code against the requirements by using standard test methods.
Deploy security code. Add the security code to current projects.
Maintain software library. When the security code needs updating due to deficiencies noticed in actual use, use change control procedures to revise or add requirements. Submit the code for security testing, and add to the code security library when your change control sign-offs are completed.


My first and foremost project is to be a great husband and father. We have a lot of fun together. My wife is very crafty and likes creating things using all kinds of materials. My son loves all things transportation, especially, 'copters!' We try to adhere to two things:
This is my first java project. When you run it, it will request your name, age, nouns, verbs, and adjectives. When you finish all the questions, the program will print out a short madlib using your answers. You can find the full project on GitHub.
It was a really fun project to build!
This is my first full website project. You can find the full working code on GitHub. I have worked on others, but I built this one from start to finish using these tools:
I currently work as a Tech Support Specialist for realties around the Portland area. When I'm not programming, I work on being the best father and husband I can be. I enjoy good craft beer, listening to vinyl records (oldies, jazz, and blues), photography, and sound technology.
You will see the handle, Mehequanna, associated with my work. It's a native american Algonquin name given to me by my father. Mehe means dancing/moving. Quanna means water. My father chose the name to show the correlation between my desire to be creative and friendliness (people like to hang out by water).


Hello & welcome! I'm Faye Li - a software engineer with experience in web development, UI UX design and immersive technologies (VR/AR). based in San Francisco currently, building real estate tech innovations at Qualia Labs.


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An example feature that reacts to comments, submissions and private messages.
Logs comment and replies it with a copy of its body.
Logs onInit event.
Logs private message and replies it with a copy of its body.
Logs submission and replies it with its title.
Generated using TypeDoc
An example feature that reacts to comments, submissions and private messages.


Open hills, plains, prairies, deserts. Typically found in fairly dry open country, including grassland and desert. Also in open country above treeline in high mountains. In winter, often found in farmland and around lakes and reservoirs, and may regularly winter in some western cities.
Prairie Falcon pairs are notoriously aggressive in defending their nest sites—against Great Horned Owls, eagles, hawks, and even other Prairie Falcons, sometimes killing fledglings that stray into the wrong territory.
Prairie Falcons have even been known to prey on other raptors, such as Burrowing Owls! However, this falcon also consistently hunts small mammals, and in many areas, sground squirrels make up the bulk of its diet. Prairie Falcons also take kangaroo rats, packrats, and cottontail rabbits when the opportunity arises.
THANK YOU


State of New York
This is a catalog of datasets organized and made more accessible from the State of New York, providing simple dowloadable CSV and JSON files, as well as Postman Collections you can use as part of workflows and other automation.
Home
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Electricity Sales By Sector, GWh Beginning 1980
New York Electricity Sales dataset provides data on total electricity requirements for New York State. Electricity sales to ultimate consumers are provided and are broken down by sector (Residenti...
Electric Generation By Fuel Type, GWh Beginning 1960
New York Electric Generation By Fuel Type, GWh dataset provides data on total electricity requirements and in-state generation for New York State in giga-watt hours. Sources of electricity include ...
Education Programs Offered in Hudson River Park Beginning 2013
This dataset is a list of educational programs offered by Hudson River Park Trust (HRPT) and includes the type of program, the date of the first and last offerings, and participation numbers.
Eastbound Tunnel and Bridge Traffic Monthly Volume, Port Authority of NY NJ Beginning 2011
The Port Authority collects eastbound vehicle traffic volumes from its toll plazas at the six Port Authority vehicular crossings (i.e., George Washington Bridge, Holland Tunnel, Lincoln Tunnel, Goe...
Eastbound Tunnel and Bridge Traffic Annual Volume, Port Authority of NY NJ Beginning 2002
Earned Income Tax Credit (EITC) Claims by Credit Type and Size of Earned Income Beginning Tax Year 1994
The Department of Taxation and Finance (the Department) annually publishes statistical information on the New York State earned income tax credit (EITC). This includes data on the separate New York...
Earned Income Tax Credit (EITC) Claims by Credit Type and Place of Residence Beginning Tax Year 1994
E- ZPass Usage Statistics Beginning 2008
This data set contains the number and percentage of vehicles that used E-ZPass or Cash by year by plaza on the NYS Thruway beginning in 2008.
Driver License, Permit, and Non-Driver Identification Cards Issued by County, Age, and Gender 2011 - 2015
Annual data on the number of DMV issued photo document holders broken out by County of residence, age, and gender.
Driver License, Permit, and Non-Driver Identification Cards Issued as of August 30, 2017
This data set includes general demographics for all persons who hold, or have recently held a: Driver License, Permit or Non-Driver Identification Card (a.k.a. credential) issued by the New York St...
Draft Title V Facility Permits
Owners or operators of emission sources that are subject to 6 NYCRR Subpart 201-6 must obtain a Title V facility permit. Draft permits are official versions of permits whose initial development is...
Draft State Facility Permits
Owners or operators of emission sources that are subject to 6 NYCRR Subpart 201-5 must obtain a State facility permit. Draft permits are official versions of permits whose initial development is c...
DMV-Reportable Traffic Ticket Convictions Four Year Window Data
Data extracted from records of convictions on file with NYS DMV. The convictions were from traffic tickets issued to motorists for violations of:— NYS Vehicle & Traffic Law (VTL),— Thruway ...
Directory of Public Authorities
The Authorities Budget Office is required by Section 6(b) of Public Authorities Law to maintain a comprehensive inventory of state and local authorities. State authorities are defined as public au...
Directory of Multi-Purpose Senior Centers
This dataset is listing of Multipurpose Senior Centers across the state which provide multiple services to New York’s senior citizens. AAAs (Area Agencies on Aging - local offices for the Aging) p...
Directory of Developmental Disabilities Service Provider Agencies
This data set contains the address and phone number information for voluntary provider agencies of the following Office for People with Developmental Disabilities (OPWDD) supports and services: In...
Directory of Criminal Justice Agencies
A directory of the Criminal Justice Agencies located in New York State.
Directory of Aging and Disability Community Resources
This data set from NYS Office for the Aging (OFA) provides a listing of community resources to help the public find services for older and disabled New Yorkers. Included is information on: AAAs (...
Diesel Retail Price Weekly Average by Region Beginning 2007
Diesel retail prices weekly average by region dataset provides the weekly average retail diesel prices for New York State and eight New York metropolitan regions in U.S. dollars per gallon. Data i...
Designated Scenic Byways
The New York State Scenic Byways program was created in 1992 by the State Legislature. The program encourages both economic development and resource conservation, recognizing that each of these asp...
Design & Construction Capital Projects Vendor Payments Beginning 2014
This dataset provides the public with the value of individual payments made to vendors for Professional Services or Construction contacts, by State Contract number. Data includes individual paymen...
Department of State Business Filings Beginning 1991
The dataset includes demographic information setting forth the number of filings made by business entities with the Department of State’s Division of Corporations. Such filings are categorized by ...
Department of Motor Vehicle (DMV) Office Locations
This dataset contains the list of all Department of Motor Vehicle, (DMV), offices in NYS, with addresses, office hours, latitude and longitude coordinates, and phone numbers.
Degrees and Other Formal Awards Granted by the State University of New York (SUNY) Beginning Academic Year 1949-50
This dataset records the number and type of degrees awarded by the State University of New York.
Degrees and Other Formal Awards Granted by Institutions of the State University of New York (SUNY) Beginning Academic Year 2002-2003
This dataset records the number and type of degrees awarded by the State University of New York by award type and institution.


_______________________________________________________________________________________________
R is an open-source statistical programming language. It is used to manipulate data, to perform statistical analyses, and to present graphical and other results. R consists of a core language, additional ‘packages’ distributed with the R language, and a very large number of packages contributed by the broader community. Packages add speciﬁc functionality to an R installation. R has become the primary language of academic statistical analyses, and is widely used in diverse areas of research, government, and industry.
R has several unique features. It has a surprisingly ‘old school’ interface: users type commands into a console; scripts in plain text represent work ﬂows; tools other than R are used for editing and other tasks. R is a ﬂexible programming language, so while one person might use functions provided by R to accomplish advanced analytic tasks, another might implement their own functions for novel data types.
As a programming language, R adopts syntax and grammar that diﬀer from many other languages: objects in R are ‘vectors’, and functions are ‘vectorized’ to operate on all elements of the object; R objects have ‘copy on change’ and ‘pass by value’ semantics, reducing unexpected consequences for users at the expense of less eﬃcient memory use; common paradigms in other languages, such as the ‘for’ loop, are encountered much less commonly in R.
Many authors contribute to R, so there can be a frustrating inconsistency of documentation and interface. R grew up in the academic community, so authors have not shied away from trying new approaches. Common statistical analyses are very well-developed.
‘Base’ R provides:
Additional packages provide:
_______________________________________________________________________________________________
The RStudio application provides a convenient and ﬂexible environment for your work with R. Figure 1 presents a view of a typical RStudio session.
See http://www.rstudio.com/ide for documentation and downloads for oﬄine work on Linux, Windows and MAC systems.
R comes with extensive help. In RStudio, click the ‘help’ menu and choose ‘R help’. Important sections include
When not using RStudio, start the help system by typing the command help.start(). The R web site provides many useful links. Once you are comfortable with R, the R-help mailing list can be a very useful source of information, as can general-purpose forums like StackOverﬂow.
_______________________________________________________________________________________________
R is a quite sophisticated system for data analysis, but that doesn’t mean it’s not comprehensible to beginners. Let’s start using it:
∙ One supported data type is the vector, speciﬁed in this way:
∙ Data objects can be given names in an assignment statement:
∙ Exercise: evaluate these expressions: y/x, x-2/10, (x-2)/10
_______________________________________________________________________________________________
Spreadsheet applications and R complement each other in that the former can provide nicely formatted columns, colored headers and convenient scrolling while R provides functional ﬂexibility. You can access Excel worksheets and other table-like data ﬁles with R, and use R to write ﬁles readable by spreadsheets – R reads and writes tables written in comma- or tab-separated values formats.
We’ll ﬁrst read the table ALLannotationFromExcel.txt that contains ALL (acute lymphoblastic leukemia) patient information:
∙ Then use R functions that tell us about the ﬁle:
∙ Exercise: Read ﬁle ALLmetadata.txt from the same directory as before, assigning the name ’doc’ to the data frame created. How does ’doc’ relate to ’info’?
_______________________________________________________________________________________________
R doesn’t provide scrollbars like spreadsheet applications do, but you can examine subsets of large objects like the 127x21 info data frame – for example by explicitly giving the rows and columns you want to see:
∙ First and last rows of data frames:
∙ R help is handy. For example – does "head" always presents 6 rows?
∙Exercise: List the ﬁrst 10 rows of columns ’sex’, ’remission’ and ’date.last.seen’ in data frame info.
∙ Data frame column names can be used to access their values:
∙ You can subset using logical expressions – watch out for NA’s!
_______________________________________________________________________________________________
R provides several data types that follow rules you might expect: the numeric can be used in arithmetic operations, the logical results from TRUE or FALSE questions, character data are used to handle text, and factors are used in statistical analyses, ANOVA for example.
∙Exercise: Use the table function to count the number of ’M’ and ’F’ patients identiﬁed in the info data frame. Does that account for all patients?
_______________________________________________________________________________________________
Select a subset of patients with normal cytogenetics and no translocations to write to a separate ﬁle and then read with a spreadsheet application:


Individuals who strive to learn outside the classroom!
Online Store Front
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Android App
Mind Trekkers focuses on hands-on activities that bring the "WOW" of science, technology, engineering and mathematics to life for K-12 students
The App Contains a Science CookBook for Science
So Kids can Bring Home the Excitment!
Facebook Twitter YouTube Feeds
Organized Events to reach out to talented programmers
Learning new Technologies through Community
Students build relationships with Companies


Turn checkboxes and radio buttons into toggle switches. Created by Mattia Larentis, maintained by Emanuele Marchi and Peter Stein with the help of the community.
To get started, check out https://bttstrp.github.io/bootstrap-switch!
Several quick start options are available:
git clone https://github.com/Bttstrp/bootstrap-switch.git
npm install bootstrap-switch
yarn add bootstrap-switch
composer require components/bootstrap-switch
bower install bootstrap-switch
PM> Install-Package Bootstrap.Switch
(NuGet package)Include the dependencies: jQuery, Bootstrap and Bootstrap Switch CSS + Javascript:
<link href="bootstrap.css" rel="stylesheet">
<link href="bootstrap-switch.css" rel="stylesheet">
<script src="jquery.js"></script>
<script src="bootstrap-switch.js"></script>
Add your checkbox:
<input type="checkbox" name="my-checkbox" checked>
Initialize Bootstrap Switch on it:
$("[name='my-checkbox']").bootstrapSwitch();
Enjoy.
IE9+ and all the other modern browsers.
src/less/bootstrap2/bootstrap-switch.less
src/less/bootstrap3/bootstrap-switch.less
Have a bug or a feature request? Please first search for existing and closed issues. If your problem or idea is not addressed yet, please open a new issue.
The new issue should contain both a summary of the issue and the browser/OS environment in which it occurs and a link to the playground you prefer with the reduced test case. If suitable, include the steps required to reproduce the bug.
Please do not use the issue tracker for personal support requests: Stack Overflow is a better place to get help.
.form-control
is not applied to the input. Bootstrap does not support that, refer to Checkboxes and radiosLicensed under the MIT License.


Note: There are 3 breakpoints (4 layouts) here.
Floated Left
1 Floated Left
2 Floated Right
3 Floated Left
4 Floated Right
Floated Right
Floated Left
Floated Right


Why JetBlue is entering the low-cost fare fight
by BrandIndexJetBlue recently rolled out its new basic economy fare.
According to YouGov Profiles, JetBlue customers are more likely than customers of other airlines to view value and low cost as reasons for picking their most recent vacation. An added low-cost fare could bring these customers on board JetBlue aircraft more often.
Customers of JetBlue’s new Blue Basic fare won’t be able to pick their seat until 24 hours before the flight takes off and will board the plane last. Unlike similar fare offers from its competitors, JetBlue allows Blue Basic passengers to bring one carry-on bag onboard instead of making passengers pay for a checked bag.
Over the last few years, major carriers have been offering no-frills options for flyers. Delta Air Lines introduced its basic economy fare class in 2014. United began offering a similar fare class in 2016 as well as American Airlines in 2017.
The low-fare space is a lucrative one to expand air travel. A third (33%) of JetBlue customers are low income, making less than $40,000 per year, about the same as customers of other airlines.
JetBlue has higher-than-sector-average scores in both Quality and Value, two metrics tracked by YouGov’s BrandIndex.
Does offering low-cost airfare affect brand’s overall perception of quality?
When looking back at historic BrandIndex Quality and Value data, it doesn’t appear so. Both Delta and United didn’t see any downturn following their respective basic economy fare rollout.
JetBlue customers are more likely to agree with the following statement: I don’t mind paying extra for high quality goods.” That could be good news. Airlines offering these lower-tier economy fares are seeing people pay extra to avoid them .
More than half (51%) of Americans are at least somewhat likely to book a flight in the next 12 months.


IP|ML at UCL
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This example is almost identical to example01_random_nodes.html, except that it does not use a Google DataTable, and therefore does not need the Google JSAPI, making the example available offline.


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Ideal for establishing a basic online store, complete with user analytics.
Shopping Cart & Checkout
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Easy Store Management
Email Marketing Integration
Ideal for international sales and moninitoring deals.
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Product Bundles
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Ideal for large stores and online stores with subscription-based promotions and deals.
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GRAP2GRAPH(1) GRAP2GRAPH(1) NAME grap2graph - convert a grap diagram into a cropped bitmap image SYNOPSIS grap2graph [ -unsafe ] [ -resolution M|MxN ] [ -format fmt ] DESCRIPTION Reads a grap program as input; produces an image file (by default in Por‐ table Network Graphics format) suitable for the Web as output. For a description of the grap language, see grap(1). Your graph specification should not be wrapped with the .G1 and .G2 macros that normally guard it within groff(1) macros. The output image will be a black-on-white graphic clipped to the smallest possible bounding box that contains all the black pixels. By specifying command-line options to be passed to convert(1) you can give it a border, set the background transparent, set the image's pixel density, or perform other useful transformations. This program uses grap(1), pic(1), groff(1), and the ImageMagick con‐ vert(1) program. These programs must be installed on your system and accessible on your $PATH for grap2graph to work. OPTIONS -unsafe Run pic(1) and groff(1) in the `unsafe' mode enabling the PIC macro sh to execute arbitrary commands. The default is to forbid this. -format fmt Specify an output format; the default is PNG (Portable Network Graphics). Any format that convert(1) can emit is supported. Command-line switches and arguments not listed above are passed to con‐ vert(1). ENVIRONMENT GROFF_TMPDIR The directory in which temporary files will be created. If this is not set grap2graph searches the environment variables TMPDIR, TMP, and TEMP (in that order). Otherwise, temporary files will be created in /tmp. SEE ALSO pic2graph(1), eqn2graph(1), pic(1), groff(1), gs(1), convert(1). AUTHOR Eric S. Raymond<EMAIL_ADDRESS>Groff Version 1.21 31 December 2010 GRAP2GRAPH(1)


| com.applovin.nativeAds.AppLovinNativeAd |
Defines an in-content ad which should be rendered by you into a custom view that matches the look and feel of your application.
| Public Methods | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| abstract long |
getAdId()
Retrieve a unique identifier for this ad, which can be provided to AppLovin should you see issues with this particular ad.
| ||||||||||
| abstract String |
getCaptionText()
Retrieve the caption of the application being advertised.
| ||||||||||
| abstract String |
getClickUrl()
This method is deprecated.
Use
launchClickTarget() rather than opening this URL yourself.
| ||||||||||
| abstract String |
getCtaText()
Retrieve the call-to-action / button text of the application being advertised.
| ||||||||||
| abstract String |
getDescriptionText()
Retrieve the description of the application being advertised.
| ||||||||||
| abstract String |
getIconUrl()
Retrieve the URL of an image containing the launcher icon of the application being advertised
| ||||||||||
| abstract String |
getImageUrl()
Retrieve the URL of an image containing a promotional image or screenshot of the application being advertised.
| ||||||||||
| abstract String |
getImpressionTrackingUrl()
This method is deprecated.
Use
trackImpression() or trackImpression(AppLovinPostbackListener postbackListener) rather than firing this Url yourself.
| ||||||||||
| abstract float |
getStarRating()
Retrieve the URL of an image containing the current Google Play star rating of the application being advertised.
| ||||||||||
| abstract String |
getTitle()
Retrieve the title of the application being advertised.
| ||||||||||
| abstract String |
getVideoEndTrackingUrl(int percentViewed, boolean firstPlay)
Retrieve the URL which should be fired upon video completion.
| ||||||||||
| abstract String |
getVideoStartTrackingUrl()
Retrieve the URL which should be fired upon video start.
| ||||||||||
| abstract String |
getVideoUrl()
Retrieve the URL of a promotional video, if this ad contains a video.
| ||||||||||
| abstract String |
getZoneId()
The zone identifier for the ad, if any.
| ||||||||||
| abstract boolean |
isImagePrecached()
Check whether or not all image assets for this ad have been precached.
| ||||||||||
| abstract boolean |
isVideoPrecached()
Check whether or not this ad's video have been precached.
| ||||||||||
| abstract void |
launchClickTarget(Context context)
Handle a click on this native ad by launching the ad's destination.
| ||||||||||
| abstract void |
trackImpression(AppLovinPostbackListener postbackListener)
Fires the impression asynchronously and notifies the provided delegate.
| ||||||||||
| abstract void |
trackImpression()
Fires the impression asynchronously.
|
Retrieve a unique identifier for this ad, which can be provided to AppLovin should you see issues with this particular ad.
Retrieve the caption of the application being advertised. May be null.
This method is deprecated.
Use launchClickTarget()
rather than opening this URL yourself.
Retrieve the URL which should be fired upon ad click.
Retrieve the call-to-action / button text of the application being advertised. May be null.
Retrieve the description of the application being advertised.
Retrieve the URL of an image containing the launcher icon of the application being advertised
Retrieve the URL of an image containing a promotional image or screenshot of the application being advertised.
This method is deprecated.
Use trackImpression() or trackImpression(AppLovinPostbackListener postbackListener)
rather than firing this Url yourself.
Retrieve the URL which should be fired upon ad impression.
Retrieve the URL of an image containing the current Google Play star rating of the application being advertised.
Retrieve the title of the application being advertised.
Retrieve the URL which should be fired upon video completion.
| percentViewed | The percentage of the video (0 - 100) that was viewed by the user. |
|---|---|
| firstPlay | Whether or not this postback represents initial playback of the video. The first time you begin playback, you should pass true. If the video is paused for any reason and then later resumed mid-playback, you should fire this postback a second time, passing false to firstPlay. |
Retrieve the URL which should be fired upon video start.
Retrieve the URL of a promotional video, if this ad contains a video.
Not all native advertisements will contain a video. Therefore, may be null.
The zone identifier for the ad, if any.
Check whether or not all image assets for this ad have been precached.
Check whether or not this ad's video have been precached.
Handle a click on this native ad by launching the ad's destination.
You should call this method anytime the user taps anywhere on your native ad. Calling this method launches Chrome or the Google Play Store and will result in your app being paused.
Fires the impression asynchronously and notifies the provided delegate.
Fires the impression asynchronously.


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Runas, Princess Culannay
<EMAIL_ADDRESS>To take a position as a Network and Secrity.
Currently taking BS Information Technology in University Of the Cordilleras major in Network and Security.
Languages: C#, JavaScript, Packet Tracer, Database, Gestalt editing, Dos, Photographer
Hobbies
Singing, Playing the giutar, Listining to music
Palutan, San Mariano 1 District, Isabela (2006-2011)
Isabela National High School (2011-2015)
BS, Information Technology, University of the Cordilleras (2015-present)


{% extends "layout.html" %} {% block content %}
Your opinion matters
Have some ideas how to improve our product? Give us your feedback.
Your rating:
What could we improve?


success callback executed when response comes back with 200 code.
success callback executed when response comes back with 200 code, but API throws an internal not found 404 code.
fail callback executed when url does not respond.


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| Home | Libraries | People | FAQ | More |
Due to the portability requirement of Boost peer review, we had to backport Boost.AFIO (originally a pure C++11 library) to the last three major compiler releases at the time of submission which were GCC 4.6-4.8, clang 3.1-3.3, and Microsoft Visual Studio 2010-2013. Of all these compilers, by far and away the worst experience for us was backporting to VS2010.
Unfortunately, because VS2010 is the last Visual Studio which will work on Microsoft Windows XP, and therefore as much as we would have loved to have dumped it, we had to do the backport. The code in this library compiles and passes its unit tests on VS2010, but only at the cost of making demands on client code. Therefore:
If you possibly can, use VS2012 SP3 or later with its Windows XP toolset to target Windows XP. The toolset bundled with VS2012 and later has many, many errors with the headers and bugs with the runtime fixed and it uses a much superior compiler. The only problem, of course, is that VS2012 and later won't run on Windows XP, so if you really must develop on Windows XP, strongly consider Mingw-w64 instead of VS2010.
If you're reading on, then you must really want to use Microsoft Visual Studio 2010! If so, we hope you enjoy debugging internal compiler errors :) which are unfortunately only fixable through a lot of trial and error. Still:
std::function
immediately. You'll see this in AFIO code. Using lambdas makes the VS2010
STL trip up everywhere (lambda support wasn't really implemented in the
STL shipped with VS2010) plus increases internal compiler errors.
using namespace
instead of fully namespaced typenames, as the Koenig lookup in VS2010
easily gets confused in C++11 and causes internal compiler errors.
boost::current_exception()
causes segfaults on VS2010 and Mingw32
(not Mingw-w64, which is fine) if not called from within a catch
clause, and unfortunately AFIO needs
that to detect if an immediately called completion routine was called
during the process of handling an exception thrown from an earlier completion
routine. In other words, it's unavoidable with our C++11 assuming design.
The solution we adopted is not pretty, but it does work:
#ifdef BOOST_AFIO_NEED_CURRENT_EXCEPTION_HACK // VS2010 and Mingw32 segfaults if you ever do a try { throw; } catch(...) without an exception ever having been thrown :( try { throw boost::afio::detail::vs2010_lack_of_decent_current_exception_support_hack_t(); } catch(...) { boost::afio::detail::vs2010_lack_of_decent_current_exception_support_hack()=boost::current_exception(); #endif ... do your AFIO using code ... #ifdef BOOST_AFIO_NEED_CURRENT_EXCEPTION_HACK } #endif
If you're going to use Boost.AFIO on VS2010 or Mingw32, you'll need to wrap all AFIO using code with the same stanza. As mentioned earlier, Mingw-w64 doesn't have any of these problems and is in fact recommended for Windows XP.


Decision Making
The most important thing about engaging with Opencast is that all people with an opinion are entitled to express that opinion and, where appropriate, have it considered by the community.
To some, the idea of having to establish consensus in a large and distributed team sounds inefficient and frustrating. Do not despair though, we have a set of simple processes to ensure things proceed at a good pace.
In Opencast we do not like to vote. We reserve that for the few things that need official approval for legal or process reasons (e.g. a release or a new committer). Most of the time we work with the consensus building techniques documented below.
Lazy Consensus
Lazy consensus is the first, and possibly the most important, consensus building tool we have. Essentially lazy consensus means that you do not need to get explicit approval to proceed, but you need to be prepared to listen if someone objects.
Consensus Building
Sometimes lazy consensus is not appropriate. In such cases it is necessary to make a proposal to the mailing list and discuss options. There are mechanisms for quickly showing your support or otherwise for a proposal and building consensus amongst the community.
Once there is a consensus people can proceed with the work under the lazy consensus model.
Voting
Occasionally a "feel" for consensus is not enough. Sometimes we need to have a measurable consensus. For example, when voting in new committers or to approve a release.


| DICTATION |
Transcribe speech to text to create a written document, such as a
text-message, email or report.
DICTATION = 8;
|
| DICTATION_VALUE |
Transcribe speech to text to create a written document, such as a
text-message, email or report.
DICTATION = 8;
|
| DISCUSSION |
Multiple people in a conversation or discussion. For example in a
meeting with two or more people actively participating. Typically
all the primary people speaking would be in the same room (if not,
see PHONE_CALL)
DISCUSSION = 1;
|
| DISCUSSION_VALUE |
Multiple people in a conversation or discussion. For example in a
meeting with two or more people actively participating. Typically
all the primary people speaking would be in the same room (if not,
see PHONE_CALL)
DISCUSSION = 1;
|
| INTERACTION_TYPE_UNSPECIFIED |
Use case is either unknown or is something other than one of the other
values below.
INTERACTION_TYPE_UNSPECIFIED = 0;
|
| INTERACTION_TYPE_UNSPECIFIED_VALUE |
Use case is either unknown or is something other than one of the other
values below.
INTERACTION_TYPE_UNSPECIFIED = 0;
|
| PHONE_CALL |
A phone-call or video-conference in which two or more people, who are
not in the same room, are actively participating.
PHONE_CALL = 3;
|
| PHONE_CALL_VALUE |
A phone-call or video-conference in which two or more people, who are
not in the same room, are actively participating.
PHONE_CALL = 3;
|
| PRESENTATION |
One or more persons lecturing or presenting to others, mostly
uninterrupted.
PRESENTATION = 2;
|
| PRESENTATION_VALUE |
One or more persons lecturing or presenting to others, mostly
uninterrupted.
PRESENTATION = 2;
|
| PROFESSIONALLY_PRODUCED |
Professionally produced audio (eg. TV Show, Podcast).
PROFESSIONALLY_PRODUCED = 5;
|
| PROFESSIONALLY_PRODUCED_VALUE |
Professionally produced audio (eg. TV Show, Podcast).
PROFESSIONALLY_PRODUCED = 5;
|
| UNRECOGNIZED |
|
| VOICEMAIL |
A recorded message intended for another person to listen to.
VOICEMAIL = 4;
|
| VOICEMAIL_VALUE |
A recorded message intended for another person to listen to.
VOICEMAIL = 4;
|
| VOICE_COMMAND |
Transcribe voice commands, such as for controlling a device.
VOICE_COMMAND = 7;
|
| VOICE_COMMAND_VALUE |
Transcribe voice commands, such as for controlling a device.
VOICE_COMMAND = 7;
|
| VOICE_SEARCH |
Transcribe spoken questions and queries into text.
VOICE_SEARCH = 6;
|
| VOICE_SEARCH_VALUE |
Transcribe spoken questions and queries into text.
VOICE_SEARCH = 6;
|


The chat protocol consists of two message types: Commands and Results.
Command are request-type messages sent from a client to the server, specifying an action to execute and its arguments. Successfully executed commands are forwarded to affected users; for example, a 'join' command sent from a client to the server asking to join room X will, on success, be forwarded by the server to all other users in room X. Thus command messages serve a second role-- as notification messages.
Results are response-type messages sent back from the server to a client, indicating the success or failure of a command. Error type results will contain an error message, while success types may or may not contain a body
Commands should be sent to the server at <context-root>/command as url form encoded GET or POST requests. Each request must contain a 'command' parameter, indicating the type of command, as well as any required arguments. See the command list for details.
The first command sent to the server must be a 'login' command.
The server will close idle connections after approximately two minutes. Thus a client should periodically send 'heartbeat' commands to keep its connection alive.
The server will reply to each command sent to /command with a Result in XML format. The format is:
<ResultMessage type="SUCCESS" />
<ResultMessage type="SUCCESS">
<res>
...xml-body
</res>
</ResultMessage>
<ResultMessage type="FAILURE">
<err>
...error message
</err>
</ResultMessage>
Once a client has successfully logged in via a 'login' command to /command, he is allocated a 'stream', which he can fetch via a GET request to
<context-root>/stream
. A client should poll the /stream url at a small, fixed interval, to receive any new notifications. Notifications are, as mentioned above, XML formatted command messages. The general format is:
<Command type="...command name">
<source>...name of source</source>
<timestamp>...time of event</timestamp>
<target>...optional target</target>
<room>...optional room</room>
<message>...optional message</message>
<arg>...zero or more additiona string args</arg>
<attachment>...optional xml attachment</attachment>
</Command>
create a new public or private room
Example: Create public room 'myroom'
http://localhost:8080/MyChat/command?command=create&room=myroom
Example: Create private room 'myroom' with password 'mypassword'
http://localhost:8080/MyChat/command?command=create&room=myroom&args[]=mypassword
destroy a room for which user is owner
Example: Destroy room 'myroom'
http://localhost:8080/MyChat/command?command=destroy&room=myroom&message=Time+to+go+to+bed
grant ownership token to a user in room
Example: Grant token to 'Magneto' in 'myroom'
http://localhost:8080/MyChat/command?command=grant&room=myroom&target=magneto
keep HTTP session alive
Example:
http://localhost:8080/MyChat/command?heartbeat
join a public or private room
<users>
<user>
<name>Magneto</name>
<privs>owner</privs>
<state>online</state>
</user>
<user>
<name>Mystique</name>
<privs>token</privs>
<state>away</state>
</user>
<user>
<name>Sabertooth</name>
<privs>user</privs>
<state>busy</state>
</user>
</users>
A successful join command is also echoed back to the user's stream, with the user list contained in the 'attachment' field.
Example: Join public room 'myroom'
http://localhost:8080/MyChat/command?command=join&room=myroom
Example: Join private room 'myroom' with password 'mypassword'
http://localhost:8080/MyChat/command?command=join&room=myroom&args[]=mypassword
kick a user from a room
Example: Kick 'Magneto' from 'myroom'
http://localhost:8080/MyChat/command?command=kick&target=Magneto&room=myroom&message=Bad+language
leave a room
Example: Leave room 'myroom'
http://localhost:8080/MyChat/command?command=leave&room=myroom
login to server
Example: Login as 'wolverine', password 'adamantium', UUID 'abcdefghijklmnop'
http://localhost:8080/MyChat/command?command=login&args[]=wolverine&args[]=adamantium&args[]=abcdefghijklmnop
logout from server
Example:
http://localhost:8080/MyChat/command?command=logout
get a list of all rooms
<rooms>
<room>
<name>Lobby</name>
<owner>admin1</owner>
<users>55</users>
<private>false</private>
<room>
<room>
<name>myroom</name>
<owner>Magneto</owner>
<users>5</users>
<private>true</private>
<room>
</rooms>
Example:
http://localhost:8080/MyChat/command?command=listrooms
send a message to a room
Example: Say 'hello everyone' in room 'myroom'
http://localhost:8080/MyChat/command?command=message&room=myroom&message=hello+everyone
take ownership token away from a user
Example: Revoke token from 'wolverine' in 'myroom'
http://localhost:8080/MyChat/command?command=revoke&room=myroom&target=wolverine
change online status
Example: Change status to 'away'
http://localhost:8080/MyChat/command?command=status&args[]=away
send a whisper to a user
Example: Send 'hi wolverine' to 'wolverine' in 'myroom'
http://localhost:8080/MyChat/command?command=whisper&room=myroom&target=wolverine&message=hi+wolverine


In this project, you'll use generative adversarial networks to generate new images of faces.
You'll be using two datasets in this project:
Since the celebA dataset is complex and you're doing GANs in a project for the first time, we want you to test your neural network on MNIST before CelebA. Running the GANs on MNIST will allow you to see how well your model trains sooner.
If you're using FloydHub, set data_dir
to "/input" and use the FloydHub data ID "R5KrjnANiKVhLWAkpXhNBe".
data_dir = './data'
# FloydHub - Use with data ID "R5KrjnANiKVhLWAkpXhNBe"
data_dir = '/input'
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import helper
helper.download_extract('mnist', data_dir)
helper.download_extract('celeba', data_dir)
show_n_images = 25
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
%matplotlib inline
import os
from glob import glob
from matplotlib import pyplot
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'mnist/*.jpg'))[25:25+show_n_images], 28, 28, 'L')
pyplot.imshow(helper.images_square_grid(mnist_images, 'L'), cmap='gray')
The CelebFaces Attributes Dataset (CelebA) dataset contains over 200,000 celebrity images with annotations. Since you're going to be generating faces, you won't need the annotations. You can view the first number of examples by changing show_n_images
.
show_n_images = 25
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'img_align_celeba/*.jpg'))[:show_n_images], 28, 28, 'RGB')
pyplot.imshow(helper.images_square_grid(mnist_images, 'RGB'))
Since the project's main focus is on building the GANs, we'll preprocess the data for you. The values of the MNIST and CelebA dataset will be in the range of -0.5 to 0.5 of 28x28 dimensional images. The CelebA images will be cropped to remove parts of the image that don't include a face, then resized down to 28x28.

You'll build the components necessary to build a GANs by implementing the following functions below:
model_inputs
discriminator
generator
model_loss
model_opt
train
This will check to make sure you have the correct version of TensorFlow and access to a GPU
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf
# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'Please use TensorFlow version 1.0 or newer. You are using {}'.format(tf.__version__)
print('TensorFlow Version: {}'.format(tf.__version__))
# Check for a GPU
if not tf.test.gpu_device_name():
warnings.warn('No GPU found. Please use a GPU to train your neural network.')
else:
print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))
Implement the model_inputs
function to create TF Placeholders for the Neural Network. It should create the following placeholders:
image_width
, image_height
, and image_channels
.z_dim
.Return the placeholders in the following the tuple (tensor of real input images, tensor of z data)
import problem_unittests as tests
def model_inputs(image_width, image_height, image_channels, z_dim):
"""
Create the model inputs
:param image_width: The input image width
:param image_height: The input image height
:param image_channels: The number of image channels
:param z_dim: The dimension of Z
:return: Tuple of (tensor of real input images, tensor of z data, learning rate)
"""
# TODO: Implement Function
real_images = tf.placeholder(tf.float32, [None, image_width, image_height, image_channels], "real_images")
z = tf.placeholder(tf.float32, [None, z_dim], "z")
learning_rate = tf.placeholder(tf.float32, name="learning_reate")
return real_images, z, learning_rate
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_inputs(model_inputs)
Implement discriminator
to create a discriminator neural network that discriminates on images
. This function should be able to reuse the variables in the neural network. Use tf.variable_scope
with a scope name of "discriminator" to allow the variables to be reused. The function should return a tuple of (tensor output of the discriminator, tensor logits of the discriminator).
def discriminator(images, reuse=False):
"""
Create the discriminator network
:param images: Tensor of input image(s)
:param reuse: Boolean if the weights should be reused
:return: Tuple of (tensor output of the discriminator, tensor logits of the discriminator)
"""
# TODO: Implement Function
filters = 32
alpha = 0.2
with tf.variable_scope("discriminator", reuse=reuse):
# 28x28x3
x1 = tf.layers.conv2d(images, filters, 5, strides=2, padding='same')
relu1 = tf.maximum(alpha * x1, x1)
# 14x14x64
x2 = tf.layers.conv2d(relu1, filters * 2, 5, strides=2, padding='same')
bn2 = tf.layers.batch_normalization(x2, training=True)
relu2 = tf.maximum(alpha * bn2, bn2)
# 7x7x128
x3 = tf.layers.conv2d(relu2, filters * 4, 5, strides=2, padding='same')
bn3 = tf.layers.batch_normalization(x3, training=True)
relu3 = tf.maximum(alpha * bn3, bn3)
# 4x4x256
flat = tf.reshape(relu3, (-1, 4*4*filters*4))
logits = tf.layers.dense(flat, 1)
out = tf.sigmoid(logits)
return out, logits
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_discriminator(discriminator, tf)
Implement generator
to generate an image using z
. This function should be able to reuse the variables in the neural network. Use tf.variable_scope
with a scope name of "generator" to allow the variables to be reused. The function should return the generated 28 x 28 x out_channel_dim
images.
def generator(z, out_channel_dim, is_train=True):
"""
Create the generator network
:param z: Input z
:param out_channel_dim: The number of channels in the output image
:param is_train: Boolean if generator is being used for training
:return: The tensor output of the generator
"""
# TODO: Implement Function
alpha = 0.2
size_mult = 512
with tf.variable_scope("generator", reuse=not is_train):
# z-dim
x1 = tf.layers.dense(z, 7 * 7 * size_mult * 2)
x1 = tf.reshape(x1, [-1, 7, 7, size_mult * 2])
x1 = tf.layers.batch_normalization(x1, training=is_train)
x1 = tf.maximum(alpha * x1, x1)
# 4x4xsize_mult * 4
# print(x1.get_shape())
# x2 = tf.layers.conv2d_transpose(x1, size_mult * 2, 4, strides=1, padding='valid')
# x2 = tf.layers.batch_normalization(x2, training=is_train)
# x2 = tf.maximum(alpha * x2, x2)
# 8x8xsize_mult * 2
# print(x2.get_shape())
x3 = tf.layers.conv2d_transpose(x1, size_mult, 3, strides=2, padding='same')
x3 = tf.layers.batch_normalization(x3, training=is_train)
x3 = tf.maximum(alpha * x3, x3)
# 16x16xsize_mult * 4
# print(x3.get_shape())
logits = tf.layers.conv2d_transpose(x3, out_channel_dim, 5, strides=2, padding='same')
# 32x32xout_channel_dim
# print(logits.get_shape())
# logits = tf.image.crop_to_bounding_box(logits, 2, 2, 28, 28)
# 28x28xout_channel_dim
out = tf.tanh(logits)
return out
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_generator(generator, tf)
Implement model_loss
to build the GANs for training and calculate the loss. The function should return a tuple of (discriminator loss, generator loss). Use the following functions you implemented:
discriminator(images, reuse=False)
generator(z, out_channel_dim, is_train=True)
def model_loss(input_real, input_z, out_channel_dim):
"""
Get the loss for the discriminator and generator
:param input_real: Images from the real dataset
:param input_z: Z input
:param out_channel_dim: The number of channels in the output image
:return: A tuple of (discriminator loss, generator loss)
"""
# TODO: Implement Function
g_model = generator(input_z, out_channel_dim)
d_model_real, d_logits_real = discriminator(input_real)
d_model_fake, d_logits_fake = discriminator(g_model, reuse=True)
d_loss_real =tf.reduce_mean(
tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_real, labels=tf.ones_like(d_model_real)))
d_loss_fake = tf.reduce_mean(
tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.zeros_like(d_model_fake)))
g_loss = tf.reduce_mean(
tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.ones_like(d_model_fake)))
d_loss = d_loss_real + d_loss_fake
return d_loss, g_loss
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_loss(model_loss)
Implement model_opt
to create the optimization operations for the GANs. Use tf.trainable_variables
to get all the trainable variables. Filter the variables with names that are in the discriminator and generator scope names. The function should return a tuple of (discriminator training operation, generator training operation).
def model_opt(d_loss, g_loss, learning_rate, beta1):
"""
Get optimization operations
:param d_loss: Discriminator loss Tensor
:param g_loss: Generator loss Tensor
:param learning_rate: Learning Rate Placeholder
:param beta1: The exponential decay rate for the 1st moment in the optimizer
:return: A tuple of (discriminator training operation, generator training operation)
"""
# TODO: Implement Function
# Get weights and bias to update
t_vars = tf.trainable_variables()
d_vars = [var for var in t_vars if var.name.startswith('discriminator')]
g_vars = [var for var in t_vars if var.name.startswith('generator')]
# Optimize
with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS)):
d_train_opt = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(d_loss, var_list=d_vars)
g_train_opt = tf.train.AdamOptimizer(learning_rate, beta1=beta1).minimize(g_loss, var_list=g_vars)
return d_train_opt, g_train_opt
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_opt(model_opt, tf)
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import numpy as np
def show_generator_output(sess, n_images, input_z, out_channel_dim, image_mode):
"""
Show example output for the generator
:param sess: TensorFlow session
:param n_images: Number of Images to display
:param input_z: Input Z Tensor
:param out_channel_dim: The number of channels in the output image
:param image_mode: The mode to use for images ("RGB" or "L")
"""
cmap = None if image_mode == 'RGB' else 'gray'
z_dim = input_z.get_shape().as_list()[-1]
example_z = np.random.uniform(-1, 1, size=[n_images, z_dim])
samples = sess.run(
generator(input_z, out_channel_dim, False),
feed_dict={input_z: example_z})
images_grid = helper.images_square_grid(samples, image_mode)
pyplot.imshow(images_grid, cmap=cmap)
pyplot.show()
Implement train
to build and train the GANs. Use the following functions you implemented:
model_inputs(image_width, image_height, image_channels, z_dim)
model_loss(input_real, input_z, out_channel_dim)
model_opt(d_loss, g_loss, learning_rate, beta1)
Use the show_generator_output
to show generator
output while you train. Running show_generator_output
for every batch will drastically increase training time and increase the size of the notebook. It's recommended to print the generator
output every 100 batches.
def train(epoch_count, batch_size, z_dim, learning_rate, beta1, get_batches, data_shape, data_image_mode):
"""
Train the GAN
:param epoch_count: Number of epochs
:param batch_size: Batch Size
:param z_dim: Z dimension
:param learning_rate: Learning Rate
:param beta1: The exponential decay rate for the 1st moment in the optimizer
:param get_batches: Function to get batches
:param data_shape: Shape of the data
:param data_image_mode: The image mode to use for images ("RGB" or "L")
"""
# TODO: Build Model
# unzip tuple
image_count, image_width, image_height, image_channels = data_shape
# get input placeholders
input_real, input_z, lr = model_inputs(image_width, image_height, image_channels, z_dim)
# get loss variables
d_loss, g_loss = model_loss(input_real, input_z, image_channels)
# get opt variables
d_opt, g_opt = model_opt(d_loss, g_loss, lr, beta1)
steps = 0
show_every = 100
print_every = 10
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
for epoch_i in range(epoch_count):
for batch_images in get_batches(batch_size):
# TODO: Train Model
steps += 1
# Sample random noise for G
batch_z = np.random.uniform(-1, 1, size=(batch_size, z_dim))
# scale to -1.0 to 1.0 (from -0.5 to 0.5)
batch_images = batch_images * 2.0
# Run optimizers
_ = sess.run(d_opt, feed_dict={input_real: batch_images, input_z: batch_z, lr: learning_rate})
_ = sess.run(g_opt, feed_dict={input_z: batch_z, input_real: batch_images, lr: learning_rate})
# Run generator twice
_ = sess.run(g_opt, feed_dict={input_z: batch_z, input_real: batch_images, lr: learning_rate})
if steps % print_every == 0:
train_loss_d = d_loss.eval({input_z: batch_z, input_real: batch_images})
train_loss_g = g_loss.eval({input_z: batch_z})
print("Epoch {}/{}...".format(epoch_i+1, epoch_count),
"Discriminator Loss: {:.4f}...".format(train_loss_d),
"Generator Loss: {:.4f}".format(train_loss_g))
if steps % show_every == 0:
show_generator_output(sess, 25, input_z, image_channels, data_image_mode)
print("Finished training")
show_generator_output(sess, 25, input_z, image_channels, data_image_mode)
Test your GANs architecture on MNIST. After 2 epochs, the GANs should be able to generate images that look like handwritten digits. Make sure the loss of the generator is lower than the loss of the discriminator or close to 0.
batch_size = 32
z_dim = 100
learning_rate = 0.001
beta1 = 0.5
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 2
mnist_dataset = helper.Dataset('mnist', glob(os.path.join(data_dir, 'mnist/*.jpg')))
with tf.Graph().as_default():
train(epochs, batch_size, z_dim, learning_rate, beta1, mnist_dataset.get_batches,
mnist_dataset.shape, mnist_dataset.image_mode)
Run your GANs on CelebA. It will take around 20 minutes on the average GPU to run one epoch. You can run the whole epoch or stop when it starts to generate realistic faces.
batch_size = 32
z_dim = 128
learning_rate = 0.001
beta1 = 0.5
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 1
celeba_dataset = helper.Dataset('celeba', glob(os.path.join(data_dir, 'img_align_celeba/*.jpg')))
with tf.Graph().as_default():
train(epochs, batch_size, z_dim, learning_rate, beta1, celeba_dataset.get_batches,
celeba_dataset.shape, celeba_dataset.image_mode)
When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_face_generation.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.


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A motivated attention framework of climate change perception ... |
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Figure 2
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A graph of global annual mean surface air temperature change ... |
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Figure 3
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A heatmap showing the average duration of dwell time on the ... |
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Figure 4
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Experiment 2 Methods. Using the BubbleView technique, the gr ... |
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Figure 5
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A heatmap showing the distribution of the average density of ... |
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Figure 6
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Experiment 3. (A) In the rising red condition, the rising ph ... |


--- layout: default nav: attributes > ic-action ---
ic-action
- The Action AttributeThe ic-action
attribute tells Intercooler to perform a client side action
when the element is triggered via the normal triggering mechanism, against the specified
target.
This attribute allows you to make modifications to the client-side DOM without a server request, while using the declarative mechansims of Intercooler.
The value of the ic-action
attribute is a list of commands, separated by
the semi-colon character.
Each command consists of a function name, followed by:
// equivalent to $(elt).remove();
Remove Me

// equivalent to $(elt).toggleClass("example-class"), note the lack of quotes
Toggle Class

// equivalent to $(elt).effect('highlight', {color: '#99ff99'}, 1500), note that quotes are required for strings
Highlight Green

Valid commands are any jQuery method that can be invoked on the target element (e.g. fadeOut
)
as well as the special delay
command. The delay
command takes an argument
specifying an amount of time to wait (a number with either with a 'ms' or 's' suffix) and
will delay the execution of the immediately following command by the specified amount. This can be used,
for example, to give a CSS transition time to complete before executing another action.
Each command will be executed with a 420ms delay between them, unless otherwise specified by a delay
command. (420 milliseconds is a bit longer than the standard jQuery animation time.)
onclick
?This command syntax allows you to execute client side code using a declarative syntax and leveraging the
existing intercooler attributes (e.g. ic-target
, ic-confirm
, etc.)
It is more expressive than regular javascript, supporting linear, declarative commands, rather than requiring
complex callback expressions or multiple calls to setTimeout()
.
It does not handle all UX cases, of course, but does allow you to capture many common UI/UX needs using a small and simple syntax.
ic-action
has no effect on dependencies.
Here are some button examples of ic-action
in, er, action:
fadeOut()
method)
and then remove the button:fadeMe
class to the button, wait 1 second for the CSS transition to complete
(addClass
does not provide a completion callback)
and then remove the button:btn-primary
class on the button:


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PART III. SEED DISTRIBUTION--REPEALED
§150-41 REPEALED. L 2000, c 247, §3.
Cross References
For present provision, see §304A-2263.


Calculate static stability of a vessel.
A Ship object provides a calculateStability method to calculate stability parameters. The structural weight is estimated with a top-down approach following an empirical formula. The parameters used in the estimation are stored in designState.calculationParameters. For example, for the PX121.json specification, they read:
The stability parameters can be calculated with:
// create a state object to store the data state = new Vessel.ShipState(); stability = ship.calculateStability(state);
As an empty state object was used, all tanks are half loaded by default.
This yields as results:


Quote this invalid brace expansion since it should be passed literally to eval
eval echo {1..$n}
eval "echo {1..$n}"
Using eval somecommand {1..$n}
depends both on bash silently failing to interpret the brace expansion, and on it passing failing brace expansions literally.
Rather than depending on these questionable features (which already behave differently in other shells), use the explicit, predictable way of passing values literally: quoting.
None.


MonitorTest Class
Methods
()
Tests for connecting and disconnecting with probes
()
Test connecting with internal probes
()
Tests for the toJSON methods
()
Tests that toJSON produces both monitor an probe attributes
()
Test that toMonitorJSON produces only monitor attributes
()
Test that toProbeJSON produces only monitor attributes
()
Tests for verifying modules are loaded and exposed properly
()
Tests that externals dependencies are exposed
()
Tests that Monitor is exposed and of the correct type
()
Tests that all Sub Modules are exposed and of the correct type
()
Tests for internal (protected) methods
()
Tests that the Router is available
()
Test the stringify method


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