@scripts = { } @main("Open Class Knowledge Base", scripts) {
The Open Class Knowledge Base has content from all parts of ICS 211. From simple review topics to in-depth analysis of sorting algorithms, the Open Class Knowledge Base will have what you're looking for.
The Open Class Knowledge Base is driven by the peers you learn with and the instructors you learn from. Connect, communicate, and collaborate with people you know and names you recognize.
Got a question? Chances are, someone may have already asked it. Utilize this feature and collaborate with the community to find new answers to old questions.
Open Class Knowledge Base expands on the same topics covered in class by offering different perspectives on the same problem. Go beyond the textbook and spend less time searching and more time learning.
Access the Open Class Knowledge Base from your tablet, mobile phone, or your laptop. Contribute content and ask questions wherever you are, whenever you want.
© OCKB 2014
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MyiCareer
Mar 2016 - Jul 2016,
Auto-ID Lab
, University of Adelaide, SA Australia
Mainly developed a mobile-based application for the elderly people that could help them prevent any severe issues after fall.
-
Back-end Development Establishing the web-based collaborating system by using MVC framework Groovy on Grails.
-
Front-end Development Utilize the Bootstrap framework build the user interface.
-
Multi-tenant Implementation Combination with the Docker technology to achieve the multi-tenant platform.
-
Database Design Adopt the PostgreSQL as the basement to implement the data storage system.
Relative Skills: Python, Android, Machine Learning(SVM)


Monitor LGBM Classifier
Boosting type
Select Boosting type
gbdt
dart
goss
rf
Learning Rate
N estimators
Max Depth
No. of Leaves
Minimum Child Samples
No. of Jobs
Bagging frequency
Bagging Fraction
Submit
Home


RGB2YCBCR
Section: User Commands (1)
Updated: October 15, 1995
Index
Return to Main Contents
NAME
rgb2ycbcr - convert non-YCbCr
TIFF
images to a YCbCr
TIFF
image
SYNOPSIS
rgb2ycbcr
[
options
]
src1.tif src2.tif ... dst.tif
DESCRIPTION
rgb2ycbcr
converts
RGB
color, greyscale, or bi-level
TIFF
images to YCbCr images by
transforming and sampling pixel data.
If multiple files are specified on the command line
each source file is converted to a separate directory
in the destination file.
By default, chrominance samples are created by sampling
2 by 2 blocks of luminance values; this can be changed with
the
-h
and
-v
options.
Output data are compressed with the
LZW
compression scheme, by default; an alternate scheme can be
selected with the
-c
option.
By default, output data are compressed in strips with
the number of rows in each strip selected so that the
size of a strip is never more than 8 kilobytes;
the
-r
option can be used to explicitly set the number of
rows per strip.
OPTIONS
- -c
-
Specify a compression scheme to use when writing image data:
-c none
for no compression,
-c packbits
for the PackBits compression algorithm,
-c jpeg
for the JPEG compression algorithm,
and
-c lzw
for Lempel-Ziv & Welch (the default).
- -h
-
Set the horizontal sampling dimension to one of: 1, 2 (default), or 4.
- -r
-
Write data with a specified number of rows per strip;
by default the number of rows/strip is selected so that each strip
is approximately 8 kilobytes.
- -v
-
Set the vertical sampling dimension to one of: 1, 2 (default), or 4.
SEE ALSO
tiffinfo(1),
tiffcp(1),
libtiff(3)
Index
- NAME
-
- SYNOPSIS
-
- DESCRIPTION
-
- OPTIONS
-
- SEE ALSO
-
This document was created by
man2html,
using the manual pages.
Time: 01:31:47 GMT, November 23, 1999


The sheet calibrates a set of different curves (including discounting curves (e.g., OIS) and forward curves) from swaps. Swaps may feature different discounting curves (e.g., OIS discounting). Forward curves can be calibrated to standard swaps and tenor basis swaps. Discount curves may be calibrated to standard swaps or cross-currency basis swaps.
Although the specific algorithm used is a calibration and not a classical bootstrap, this is sometimes called "curve bootstrapping".
For details see the curve calibration page.The sheet calibrates a set of different curves (including discounting curves (e.g., OIS) and forward curves) from swaps. It also calibrates funding curves. It contains functionality for the valuation of forward bonds and total return swaps.
Valuation part contributed by Mark Lichtner. Based on the Curve Calibration Sheet.
For details see the forward bond valuation page.The sheet tests several day count conventions against its native spreadsheet implementation using the YEARFRAC function.
The generates a swap leg schedule, i.e., a sequence of periods with period start date, period end date, fixing date, payment date and period day count fractions, from given meta date, like spot, frequency, date roll convention, holiday calendars, day count convetions.
The sheet allows to create a LIBOR market model calibrated to a given forward curve and given swaptions. The parametrized volatility and correlation can be inspected. Generated interest rate scenarios can ben extracted.
For details see the LIBOR market model page.A simple sheet to play with SABR parameters and investigate the shape of the implied volatility smile, price curve and probability density.
The sheet demonstrate the calibration of a displaced SABR model to a set of implied volatilities for different strikes. The sheet allows to set parameters bounds for CEV, displacement, correlation, etc.
The sheets illustrate the interpolations of SABR smiles via a) naive parameter interpolation and b) skew and curvature interpolation. A naive parameter interpolation results in unplausible smile interpolations.
For the Excel files (.xls):
For the OpenOffice/LibreOffice files (.odt)
The source code behind these sheets can be found in the finmath lib repository.


Recently I visited Houston, here are some pictures courtesy of Greg Burch
I was born December, 2 1959.
Here is what I looked like when I was young, thoughtful and hopeful...
And this is me today.
What do you think? :-)
In 1982, I got my M.S. in mathematics, Computer Science and education from the Mathematical Department of Leningrad State University, in former Leningrad, former USSR.
Worked in industry, academia and as a freelancer on various software, research and educational projects. Also took part in a number of different movements, and used to read like crazy. Now I mostly write.
Favorite occupations: hanging around with my son, observing the development of the Universe and peeking into all advanced theories and projects I can find. I consider myself a futurist thinker, and like theorizing on all sorts of subjects, both for the joy of the growing understanding of the world and in hope to influence things. Understanding seems to be going ahead of the influence, so far. Maybe, that's normal.
Currently, I work at Intelligenesis Corp. - a New York based AI company, as a director of collaborative filtering group, making my old dreams of improving knowledge flows a reality via collaborative filtering of information. In 1996-1997 I attempted to do the same at Firefly, but the little bug got eaten by creatures that didn't appreciate its promise :-(
Between these jobs, I spent a wonderful year in Marvin Minsky's Society of Mind group in the MIT Media lab.
I like taking part in various technologically interesting and socially useful ventures. If you want to develop some interesting knowledge-based service on the web, i.e. a reputation broker, or have a writing or speaking proposition I may be interested in, please let me know. I will complain about total lack of free time, then will give in.
Here is my professional resume.
I also have a few hobbies, and you can catch me mushroom hunting, dancing, playing Russian Checkers online or taking aerobics classes.
I often complain about my age, but actually, it's my favorite age so far - I understand more things and feel better than ever, and find equal pleasure talking to old academics and dancing with kids.
It looks even like I have made too much progress in my pursuits. It's been a while since I had engaging discussions with normal people on the topics of my serious interest. Recently, a similar thing happened with my exercise and dancing hobbies. Now, I am working on my emotional expression and motivational structure. Here I probably lag more, so it will take a few more years until I find myself unable to share anything with anybody...
Getting increasingly liberated from made-up social norms that more and more look to me like peacocks' mating rites, I find myself in an increasing conflict with people who still live by them - and increasingly so, with rapid aging of my Russian ex-peers, and progressive loss of liberty in the once free [?] American society. Dangerous mixes of adventurism and personal openness often leave burns on my thin skin. It must be pretty much scaled by now if you look from the inside. But then, life is never boring.
You can find more information on my recent work and interests on my
public home page.
My Geek code is:
GP/IT/S* e*>$ W* d- s- a(?) c++++$ U P> N++ K++++ w M> V$ PS+++ PE++ Y++@ tv--@ b+ Dl++++ r
Here is my
vCard.
Please add it to your address book!
If you want to send me some physical objects, please direct them to:
Alexander Chislenko,
If you think of visiting me, you may want to look at the map of Cambridge, or map of its North-West, or ASCII maps of my neighborhood.
Thanks a lot.
Sasha Chislenko.


00:00
2.3 KW
4.1 KW
13.3 KW
From panel
From grid
INFORMATION ABOUT CONSUMPTION BY SECTOR
HARVESTER
Gathers information about
energy consumption in
the place.
ENERGY TRANSACTION
A percentage of not used energy
could be transfered to
a house that needs it.
HARVESTER
There is a harvester for each
house, learning about the consumption
of each connected device.
0
%
0
%
IBM BLUEMIX
CONSUMPTION PROFILES
With the help of IBM technologies
we profile the consumption behaviors.
UTILITY/BALANCING AUTHORITY
OUTLINE FUTURE CONSUMPTION
The utility company could adjust
the loads in order to improve
efficiency.


The Fender Mustang was introduced in 1964 as the basis of a major redesign of Fender's student models then consisting of the Musicmaster and Duo-Sonic. It was originally popular in sixties surf music and attained cult status in the 1990s largely as a result of its use by a number of alternative rock bands. aodfaosdoufasdofiasdfoweomfwdifowdmfoaimdwfowmfdwfoawdmfoweifowifmwodijfwodimfwoamfoimwfoaimwdofimaowdimfoawdimfoadfoawimdf
The Fender Stratocaster or "Strat" is one of the most popular electric guitars of all time, and its design has been copied by many guitar makers. It was designed by Leo Fender, George Fullerton and Fredie Tavares in 1954.
The Gibson Les Paul is a solid body electric guitar that was first sold in 1952. The Les Paul was designed by Ted McCarty in collaboration with popular guitarist Les Paul, whom Gibson enlisted to endorse the new model. It is one of the most well-known electric guitar types in the world.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Nunc vitae lacinia lorem. Integer varius risus placerat malesuada ullamcorper. Sed eu libero risus. Pellentesque eleifend posuere ante et vulputate. Nunc iaculis vulputate nisi sit amet venenatis. Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas.


| Health status and vulnerabilities |
Burdens of climate-related causes of morbidity/mortality (diarrheal disease, undernutrition, thermal stresses) |
Institute for Health Metrics and Evaluation Global Burden of Disease Study
a
|
Roth et al. (
2018);
http://ghdx.healthdata.org/
|
| Infant/child mortality rates |
UN Inter-Agency Group for Child Mortality Estimation |
http://www.childmortality.org/
|
| Food insecurity index |
Economist Intelligence Unit Global Food Security Index |
https://foodsecurityindex.eiu.com/
|
| Underweight and stunting prevalence |
UNICEF Multiple Indicator Cluster Surveys
a
|
http://mics.unicef.org/
|
| Access to improved sanitation services |
UNICEF/WHO Joint Monitoring Program
a
|
https://washdata.org/
|
| Public health and health systems |
Health spending per capita |
WHO World Health Statistics |
https://www.who.int/gho/publications/world_health_statistics/en/
|
| Human capital
b
|
Literacy rates & reading comprehension |
UNESCO Institute for Statistics |
http://data.uis.unesco.org/
|
| Progress in International Reading Literacy Study
a
|
https://timssandpirls.bc.edu/
|
| PISA Study
a
|
http://www.oecd.org/pisa/data/
|
| Math/science achievement |
Trends in International Mathematics and Science Study
a
|
https://timssandpirls.bc.edu/
|
| PISA Study
a
|
http://www.oecd.org/pisa/data/
|
| School enrollment |
UNESCO Institute for Statistics |
http://data.uis.unesco.org/
|
| Formal educational attainment by age/sex |
International Institute for Applied Systems Analysis |
Lutz et al. (
2014);
http://www.oeaw.ac.at/fileadmin/subsites/Institute/VID/dataexplorer/index.html
|
| Educational spending |
UNESCO Institute for Statistics |
http://data.uis.unesco.org/
|
| Demography |
Population by age and sex |
United Nations Department of Economic and Social Affairs |
https://population.un.org/wpp/
|
| International Institute for Applied Systems Analysis |
Lutz et al. (
2014);
http://www.oeaw.ac.at/fileadmin/subsites/Institute/VID/dataexplorer/index.html
|
| Integrated Public Use Microdata Series International Census Database
a
|
Minnesota Population Center (
2018);
https://international.ipums.org/international/
|
| Sex ratio |
United Nations Department of Economic and Social Affairs |
https://population.un.org/wpp/
|
| International Institute for Applied Systems Analysis |
Lutz et al. (
2014);
http://www.oeaw.ac.at/fileadmin/subsites/Institute/VID/dataexplorer/index.html
|
| Dependency ratio |
United Nations Department of Economic and Social Affairs |
https://population.un.org/wpp/
|
| International Institute for Applied Systems Analysis |
Lutz et al. (
2014);
http://www.oeaw.ac.at/fileadmin/subsites/Institute/VID/dataexplorer/index.html
|
| Average life expectancy |
United Nations Department of Economic and Social Affairs |
https://population.un.org/wpp/
|
| International Institute for Applied Systems Analysis |
Lutz et al. (
2014);
http://www.oeaw.ac.at/fileadmin/subsites/Institute/VID/dataexplorer/index.html
|
| Population density |
Gridded Population of the World
a
|
http://sedac.ciesin.columbia.edu/data/collection/gpw-v4
|
| WorldPop
a
|
https://www.worldpop.org/
|
| Dependence on natural resources |
Household income share from agriculture/natural resource activities |
World Bank Living Standards and Measurement Study
a
|
http://microdata.worldbank.org/index.php/catalog/lsms
|
| Share of community employment from agriculture/natural resource activities |
Demographic and Health Surveys
a
|
https://dhsprogram.com/
|
| Number of crop varieties grown/sold by household and/or community |
World Bank Living Standards and Measurement Study
a
|
http://microdata.worldbank.org/index.php/catalog/lsms
|
| Inequality |
Gini coefficient |
World Bank |
https://data.worldbank.org/
|
| Differences in living standards between key ethnic/racial groups (index) |
Ethnic Inequality Index |
Alesina et al. (
2016)
|
| Poverty/standard of living |
GDP per capita |
World Bank |
https://data.worldbank.org/
|
| Poverty rate |
World Bank |
https://data.worldbank.org/
|
| Geographic/spatial |
Elevation, slope, aspect |
Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Digital Elevation Model
a
|
https://asterweb.jpl.nasa.gov/gdem.asp
|
| Forest cover |
Global Forest Change
a
|
Hansen et al. (
2013);
https://earthenginepartners.appspot.com/science-2013-global-forest
|
| Soil quality indicators |
Harmonized World Soil Database
a
|
Fischer et al. (
2008);
http://www.fao.org/soils-portal/soil-survey/soil-maps-and-databases/harmonized-world-soil-database-v12/en/
|
| Water quality indicators |
GEMStat
a
|
https://gemstat.org/
|
| Institutional effectiveness |
Democratic freedom indexes |
Freedom House Index |
https://freedomhouse.org/report-types/freedom-world
|
| Economist Intelligence Unit Democracy Index |
https://www.eiu.com/topic/democracy-index
|
| Unified Democracy Scores |
Pemstein et al. (
2010);
http://www.unified-democracy-scores.org/
|
| Polity IV |
http://www.systemicpeace.org/polityproject.html
|
| Government responsiveness indexes |
World Bank World Governance Indicators |
http://info.worldbank.org/governance/wgi/#home
|
| World Bank Decentralization Indexes |
Ivanya and Shah (
2012)
|
| Institutional interconnectedness |
Globalization index |
KOF Index of Globalization |
https://www.kof.ethz.ch/en/forecasts-and-indicators/indicators/kof-globalisation-index.html
|
| Treaty signatures (for use in composite metric) |
United Nations Treaty Collection |
https://treaties.un.org/
|


| Opcode/Instruction | Op/En | 64/32-bit Mode | CPUID Feature Flag | Description |
| F3 0F 59 /r MULSS xmm1, xmm2/m32 | RM | V/V | SSE | Multiply the low single-precision floating-point value in xmm2/mem by the low singleprecision floating-point value in xmm1. |
| VEX.NDS.LIG.F3.0F.WIG 59 /r VMULSS xmm1,xmm2, xmm3/m32 | RVM | V/V | AVX | Multiply the low single-precision floating-point value in xmm3/mem by the low singleprecision floating-point value in xmm2. |
| Op/En | Operand 1 | Operand 2 | Operand 3 | Operand 4 |
| RM | ModRM:reg (r, w) | ModRM:r/m (r) | NA | NA |
| RVM | ModRM:reg (w) | VEX.vvvv (r) | ModRM:r/m (r) | NA |
Multiplies the low single-precision floating-point value from the source operand (second operand) by the low single-precision floating-point value in the destination operand (first operand), and stores the single-precision floating-point result in the destination operand. The source operand can be an XMM register or a 32-bit memory location. The destination operand is an XMM register. The three high-order doublewords of the destination operand remain unchanged. See Figure 10-6 in the Intel® 64 and IA-32 Architectures Software Developer’s Manual, Volume 1, for an illustration of a scalar single-precision floating-point operation.
In 64-bit mode, use of the REX.R prefix permits this instruction to access additional registers (XMM8-XMM15). 128-bit Legacy SSE version: The first source operand and the destination operand are the same. Bits (VLMAX1:32) of the corresponding YMM destination register remain unchanged. VEX.128 encoded version: Bits (VLMAX-1:128) of the destination YMM register are zeroed.
MULSS (128-bit Legacy SSE version) DEST[31:0] ← DEST[31:0] * SRC[31:0] DEST[VLMAX-1:32] (Unmodified) VMULSS (VEX.128 encoded version) DEST[31:0] ← SRC1[31:0] * SRC2[31:0] DEST[127:32] ← SRC1[127:32] DEST[VLMAX-1:128] ← 0
| MULSS: | __m128 _mm_mul_ss(__m128 a, __m128 b) |
Overflow, Underflow, Invalid, Precision, Denormal.
See Exceptions Type 3


Become A Hero
问题描述 :
Lemon wants to be a hero since he was a child. Recently he is reading a book called “Where Is Hero From” written by ZTY. After reading the book, Lemon sends a letter to ZTY. Soon he recieves a reply.
Dear Lemon,
It is my way of success. Please caculate the algorithm, and secret is behind the answer. The algorithm follows:
Int Answer(Int n)
{
…….Count = 0;
…….For (I = 1; I <= n; I++)
…….{
…………..If (LCM(I, n) < n * I)
………………..Count++;
…….}
…….Return Count;
}
The LCM(m, n) is the lowest common multiple of m and n.
It is easy for you, isn’t it.
Please hurry up!
ZTY
What a good chance to be a hero. Lemon can not wait any longer. Please help Lemon get the answer as soon as possible.
输入:
First line contains an integer T(1 <= T <= 1000000) indicates the number of test case. Then T line follows, each line contains an integer n (1 <= n <= 2000000).
输出:
First line contains an integer T(1 <= T <= 1000000) indicates the number of test case. Then T line follows, each line contains an integer n (1 <= n <= 2000000).
样例输入:
1 1
样例输出:
0
#include <cstdio> #include <cstdlib> #include <cstring> int front,rear; int q[10005]; int main(){ int cases,time,n,m,ok; scanf("%d",&cases); while(cases--){ front = rear = 0; time = 0; scanf("%d%d",&n,&m); for(int i = 0; i < n; i++){ scanf("%d",&q[i]); rear++; } while(front <= rear){ int i; for(i = front; i < rear; i++) if(q[i] > q[front]){ q[rear++] = q[front]; break; } if(i >= rear){ time += 1; if(front == m){ printf("%d\n",time); break; } else front ++; } else if(front == m) m = rear - 1; else front++; } } return 0; }
解题转自：http://blog.csdn.net/fengshiye948/article/details/8779135
(adsbygoogle = window.adsbygoogle || []).push({});
真考人啊
很好的题，还是能做出几道的，嘿嘿
这个差别应该不会太大，或许编辑器就自动优化成内联函数了
正解，我的方法占用的内存更多些
多谢支持！
great!
思考人生吗
递归还真是一门学问，学习了
想问下computeLSPArray那里，if(len!=0) len=lps[len-1]是什么意思
2的64次方是多少？ 这到底是在考什么啊
这个应该是比较简单的解法了，如果有更好的办法可以告诉我
18题的C也是错误的
感谢分享 学习了`(*∩_∩*)′
为什么暴力求解方法循环到sqrt(n) 就可以了呢


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
Gently cook the onions in a little oil until soft but not coloured, remove from heat and add to the sausage meat.
Fold the black pudding through the sausage mix, trying not to break it up and season with salt and pepper.
Divide the mix into four balls and allow to rest in the fridge.
Place the eggs in boiling water for approximately 5½ minutes, cool in iced water, and peel.
Wrap each ball of mix around an egg and form into neat spheres.
Coat each ball with flour, egg wash and breadcrumbs, deep fry at 160-180C/310-350F until cooked through. (They should start floating)


Volunteer Registration
Email:
First name:
Last name:
Password:
Tell us your skills and areas of interests
Cooking
Sorting Collected Food Items
Serving Food
Assisting Clerical Works
Transporting Donated Food / Produce from Local Business
Computer Skills
Fund Rasing
Working as a Group
Working One-on-One
Working with Children
Working with Elderly
Tell us your availability
Flexible
Weekends
Weekdays
Mornings
Afternoons
Evenings
Hunger Organization Registration
Email:
Organization name:
Password:
Tell us your needs
Cooking
Sorting Collected Food Items
Serving Food
Transporting Produce / Food from Local Business or Farm
Assisting Clerical Works
When you need help?
Flexible
Weekends
Weekdays
Mornings
Afternoons
Evenings


TGourandShadedDelaunayTrianglesPolygonFiller is an arbitrary sparse point color gradient interpolator using Gourand Shading for each triangle, that has been found using the delaunay algorithm
Figure 1: Polygon filled with the TGourandShadedDelaunayTrianglesPolygonFiller


You are looking at some intriguing titles on a shelf of books. A teen walks up beside you looking as well.
"That’s a good one they say to you. I read it last summer."
You look at them and smile. Then you happen to look up and realize you are in the teen book section.
The teen sees you looking at the teen sign, then they say, "My mom read it too."
They wink as they grab a book and walk off. Maybe
| Go North | ||
| Go West | Go East | |
| Go South |


What is the ratio of happiness to sadness in a person's life? Are happiness and sadness directly related to pleasure and pain respectively?
Many people today are throwing away their old, fuel burning ICE cars to replace them with electric cars. So is it really helping the environment? What can you do to really help?
The utility of a sofa in the living room is to serve as a comfortable seating space for hanging, especially with guests. But when there are no guests, it just becomes a spot for time sink. Here is an interesting idea to utilize the space when the purpose is not to hang out.
When children ask about the reason for their existence and the process of their birth, most parents sow up tales or bring an Almighty into the picture. But must they?
This blog lists all scientific reasons for cooking your meal. From its physical effect to its psychological effects and how it helps you maintain a healthy body and peaceful mind, while also saving money.


Writing Unit Tests
After reading this guide, you will be able to:
- Use modules to group your unit tests together to share setup and teardown code.
- Use assertions to test values and report results.
- Use start and stop to synchronize wtih an asynchronous event such as a timer or callback.
- Specify HTML in the case where you need to test against HTML.
1 - Overview
Once you've added a unit test file, writing your unit test cases is easy.
A unit test file is made up of modules. A module is a collection of unit test cases that run together. An individual unit test case performs some verification on your code.
2 - Defining a Module
To define a module, call the module() method. For example, in the previous guide, a module called MyApp.loginController is created.
module("MyApp.loginController");
Unit test cases defined after calling module() will automatically be grouped into that module until the next module() call or the end of the file.
module("MyApp.loginController.module1");
test ("test1 for MyApp.loginController module 1", ...);
test ("test2 for MyApp.loginController module 1", ...);
module("MyApp.loginController.module2");
test ("test1 for MyApp.loginController module 2", ...);
test ("test2 for MyApp.loginController module 2", ...);
Within the module, you may optionally implement setup() and teardown() callbacks to run before and after each unit test case for that module. Use these methods to setup and teardown any common testing infrastructure.
For example, if you are writing a group of tests to work on a Contact record, you might define your module like so:
var contact ;
module("Test Contact record", {
setup: function() {
contact = MyApp.Contact.create({ firstName: "John", lastName: "Doe" });
},
teardown: function() {
contact = null; // reset
}
});
// .. unit tests go here
Note that any common setup you define should be placed into global variables (such as the contact variable above). Since unit tests are the last thing loaded in the page, it is OK to create these variables globally instead of isolating everything into namespaces like you should with all other code.
3 - Defining a Unit Test Case
Once you've defined a module, you can add individual unit test cases. A unit test case is defined using the test() method. A test should have a description followed by the function you want to execute to perform the test.
test("test description", function() {
var expected = "test";
var result = "test";
equals(result, expected, "test should equal test");
});
For example, if you were writing tests for a Contact model object, you might add a test like this:
test("fullName property returns combined firstName and lastName", function() {
// set preconditions
contact.set('firstName', 'John');
contact.set('lastName', 'Doe');
// verify
equals(contact.get('fullName'), 'John Doe');
});
Use the test description to describe the _business rule_ you are testing; you (and developers that follow you) will be thankful that you did.
4 - Assertions
Unit test case functions may contain any valid JavaScript. To actually record the results of your test, however, you can use one of the built-in assertions.
Assertions are methods that test a value and then report the result. If the assertion fails, the test runner will report a failure. If the assertion passes, then your test is allowed to continue.
4.1 - ok()
The most basic assertion you can make is ok(). This method accepts a boolean value and an optional description string. The assertion passes if the value is true and fails otherwise. For example, here is how you would assert that a test value is greater than 10:
ok(contacts.get('length') > 10, "should be more than 10 contacts");
To make your tests more understandable, you should always include a description when you use ok() assertions. Otherwise, the test runner will simply print the value that was returned and the value that was expected.
4.2 - equals()
The other assertion you will commonly use is equals(). This method accepts two values and an optional description. It passes if the two values are equal and fails otherwise. The advantage of using equals over ok(a == b, "a equals b") is that, if the test fails, then the test runner will display both the expected value and the actual value; this can be valuable when debugging your code.
For example, here is how you would test the fullName property of a contact:
equals(contact.get('fullName'), 'John Doe', 'fullName = John Doe');
Note: this method is equivalent to equal() in the latest QUnit API.
4.3 - Other assertions
There are several other assertion types that you can learn about from the QUnit pages, such as same() or expects(). Most of these assertions are not as generally useful as ok() and equals(). However, you can use them if you wish.
5 - Asynchronous Unit Tests Cases
Sometimes, a unit test case needs to stop and wait for task(s) to complete. This is particularly true when testing code that involves loading data from a server or using timers. In these scenarios, you can use the stop() and start() methods to control your test execution.
The stop() method temporarily pauses your unit test case from running. This means that when your test function returns, instead of calling the module's teardown() method (if defined) and running the next unit test case, the test runner will just exit.
After the test runner has been stopped, you can resume it by calling start(). To invoke start(), you will need to setup a callback or timer.
For example, the unit test case below verifies if a particular file loads from the server. It first issues a stop() to the test runner for 1 second. If start() is not called within 1 second, the test will fail. It then uses the callback in SC.Request.getUrl() to call start().
test("load file from server", function() {
// setup a timeout in case of failure
stop(1000);
var req = SC.Request.getUrl("/foo.json").notify(function() {
// verify request loaded OK
ok(SC.typeOf(req.get('response')) !== SC.T_ERROR, "response should not be an error");
// resume executing tests
start();
});
});
Here's a more complex example with assertions.
test('Create User', function() {
// Pause the test runner. If start() is not called within 2 seconds, fail the test.
stop(2000);
var user = MyApp.store.createRecord(MyApp.UserRecord, {
username: 'SpongeBob',
department: 'Accounts',
status: 'Active',
isAdmin: NO,
lastLoggedInDate: '2010-05-05T10:20:30Z'
});
equal(user.get('username'), 'SpongeBob', 'user name');
equal(user.get('department'), 'Accounts', 'department');
equal(user.get('userStatus'), 'Active', 'user status');
equal(user.get('isAdmin'), NO, 'user is Admin');
var d1 = user.get('lastLoggedInDate').toISO8601();
var d2 = '2010-05-05T10:20:30+00:00';
equal(d1, d2, 'user last logged in');
// Status should be ready new because record is new and not committed to server
ok(user.get('status') === SC.Record.READY_NEW, 'Status is READY_NEW');
// Commit changes
MyApp.store.commitRecords();
// Give our store 1 second to commit records to the remote server
setTimeout(checkCreate, 1000);
});
function checkCreate() {
// Should be to find record now
var query = SC.Query.local(MyApp.UserRecord, {
conditions: 'username = {name}',
name: 'SpongeBob'
});
var users = MyApp.store.find(query);
equal(users.get('length'), 1, 'SpongeBob record should be searchable by query');
// Status should now be 'clean' since it's been saved
equal(user.get('status'), SC.Record.READY_CLEAN, 'Status is READY_CLEAN');
// Can get our record by primary key
var user2 = MyApp.store.find(MyApp.UserRecord, user.get('id'));
equal(user2.get('username'), 'SpongeBob', 'user name');
// Resume the test runner again
start();
}
6 - Writing HTML
Normally you will not need to add HTML to your page when you write tests since you will be testing functionality provided by your application and all the HTML you need will already exist.
If you do need to write out some sample HTML on the page to work against when testing, however, you can add this HTML using the method htmlbody(). This method should be the first thing called in your page, even before you start a new module.
To use this method, just pass a string containing the HTML you want to add. The HTML will be appended to the main body tag.
// adds the h1 tag to the end of the body.
htmlbody("

") ;
7 - Moving On
Now that you have written a unit test case or two, it's time to run them. The next section will tell you everything you need to know about how unit tests are loaded and executed by the test runner.
On to Running Unit Tests »
8 - Changelog
- February 15, 2011: initial version by Scott Smith and Vibul Imtarnasan
- March 2, 2011: minor paragraph formatting changes by Topher Fangio
- August 7, 2013: converted to Markdown format for DocPad guides by Topher Fangio


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I am a research scientist in the FAIR labs division of Meta AI. I also collaborate closely with Prof. Pieter Abbeel's lab at UC Berkeley and Prof. Abhinav Gupta's lab at CMU. I work on algorithmic foundations of deep learning and reinforcement learning. My current research focuses on pretraining and foundation models for decision making and Embodied Intelligence. Relevent topics include self-supervised representation learning, sequence models for decision making, and offline RL. I recieved my PhD in CSE from the University of Washington working with Profs. Sham Kakade and Emo Todorov. During this time, I also worked closely with Sergey Levine and Chelsea Finn, and spent time as a student researcher at Google Brain and OpenAI. Before that, I recieved my Bachelors degree along with the best undergraduate thesis award from IIT Madras. | |
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Representative Papers
Representation Learning for Decision Making The (Un)Surprising Effectiveness of Pre-Trained Vision Models for Control R3M: A Universal Visual Representation for Robot Manipulation Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?
Offline Reinforcement Learning Decision Transformer: Reinforcement Learning via Sequence Modeling MOReL : Model-Based Offline Reinforcement Learning
Meta-Learning: Theoretical & Algorithmic Foundations Meta Learning with Implicit Gradients Online Meta-Learning
Applications in Robotics Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations Reinforcement learning for non-prehensile manipulation: Transfer from simulation to physical system | |
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Mentoring I enjoy collaborating with a diverse set of students and researchers. I have had the pleasure of mentoring some highly motivated students at both the undergraduate and PhD levels. List of current students and alumni. | |
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All Publications and Preprints | |
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Teaching
CSE599G: Deep Reinforcement Learning (Instructor)
CSE547: Machine Learning for Big Data (Teaching Assistant)
CSE546: Machine Learning (Teaching Assistant) | |
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Try out our Premium Member services: Virtual Legal Assistant, Query Alert Service and an ad-free experience. Free for one month and pay only if you like it.
Court No. - 9 Case :- PUBLIC INTEREST LITIGATION (PIL) No. - 2593 of 2010 Petitioner :- Madhu Mangal Shukla Respondent :- Union Of India Thru. Secr. Ministry Of Environment & Others Petitioner Counsel :- A. Chaturvedi,Amit Verma,G.N. Verma Respondent Counsel :- A.S.G.I.,C.S.C. (2010/2052),D.S. Chauhan Hon'ble Vijay Manohar Sahai,J.
Hon'ble Virendra Kumar Dixit,J.
Statement has been made by Sri A. Chaturvedi learned counsel for the petitioner that Shri G.N. Verma Senior Counsel has withdrawn from this case and he will not appear as Counsel in this writ petition. Sri A. Chaturvedi with Sri Amit Verma will only appear as Counsel for the petitioner in view of the statement made by him.
We have heard learned counsel for the petitioner, Dr. A.K. Nigam, Additional Solicitor General of India assisted by Mr. Irfan Ali for respondent no. 1, 2, 3 and 10, Standing Counsel appearing for respondents no. 4, 5 and 6, Sri Rajesh Mishra appearing for respondent no. 7 and Sri D.S. Chauhan for respondent no. 8.
Counter affidavit may be filed within three weeks thereafter rejoinder affidavit may be filed within one week. The petitioner shall take steps to serve notice by Registered Post as well as Dasti notice within a week.
It has been argued by learned counsel for the petitioner that Vrindavan has its religious importance and along the river Yamuna there is Panchkosi Parikrama Marg which passes through the Ghats situated on the banks of river Yamuna. The pilgrims do parikrama on their feet as well as by crawling on the Parikrama Marg to worship Lord Krishna. That some persons in collusion with the authorities had encroached the bank of river Yamuna by raising construction and making their houses, ashrams, hotels etc. between the Ghat and river Yamuna along the Parikrama Marg in the flood plain area. That the land over which these illegal constructions have been raised, in fact is a nazul land. That the drains and sewerage of the aforesaid area falls in river Yamuna making the river unfit for drinking, washing and bathing purposes. It is further submitted that the garbage of the city also being dumped in the aforesaid ghats. That allowing the constructions which is being raised on the ground that the same is in the interest of public, question still remains whether interest of ecology and environment and right to the citizens guaranteed under article 21 of Constitution of India would have priority over the interest of public. It is also submitted that the respondents had started construction of bridge along the river Yamuna which starts from Shringarvat and ends in Badikunj (Keshi Ghat). The aforesaid constructions have been started without obtaining No Objection Certificate from the Ministry of Environment for the construction of bridge over river Yamuna that too not across the river but along the river bank. That Vrindavan comes under the Taj Trapezium Zone and the authorities had also not obtained No Objection Certificate from the Hon'ble Apex Court before starting construction. That due to construction of aforesaid bridge not only Gahats will perish but the flow of the river which has been diverted from construction of bridge will also leave only ghats from where at present river flows.
Learned counsel for the petitioner further submitted that the office of the respondent no. 8 had admitted that Vrindavan Samagra Vikas Pariyojana, Tourism Master Plan of Vraj Region is yet not sanctioned and the fund for the aforesaid construction has been sanctioned by Tourism Department. That the construction work of the bridge is against the rules of the the Indian Archaeological Act and the same was stopped by District Magistrate, Mathura but the same has again started and work on the bridge is being carried out without obtaining the necessary permission from the concerned departments. It is also submitted that to permit constructions along with river amounts to breach of the statutory provision of the Environment (Protection) Act, the Water (Prevention and Control of Pollution) Act 1974, the Air (Prevention and Control of Pollution) Act. Learned counsel for the Mahtura Vrindavan Development Authority urged that the authorities have given notice to the persons who are raising illegal constructions. Prima facie, it appears that no firm action has been taken by the concerned authorities to stop the illegal constructions raised between the ghats and river by local citizens. Dumping of garbage in the ghats of river Yamuna, illegal encroachments constructions on the side of bank of river, permitting raising construction of bridge along river Yamuna without being any permission from the Hon'ble the Apex Court which comes under the Taj Trapezium Zone is a serious matter. On all these aspects of the matter, a detailed counter affidavit shall be filed by the respondents.
List for further hearing on 23.2.2010.
Until further order of the Court, the respondents are directed to stop further constructions over the bridge which is being constructed along side river Yamuna and other illegal constructions on the land which falls between the ghats and river Yamuna on both the sides and to stop dumping of garbage in river Yamuna or its bank. Respondents are further directed to ensure that no constructions are raised in the aforesaid area by any person.
Order Date :- 21.1.2010 PNS


| numFrames, delayBetweenFrames : int, eraseAfter : boolean) |
For example, this procedure is necessary if you want to have two sets of frames being drawn simultaneously.
If you want to draw the same set of frames continuously, do not use Pic.DrawFramesBack.
for i : 1 .. 20
Pic.DrawFrames (pics, 10, 10, picCopy, 10, 50, false)
% Do not use Pic.DrawFramesBack in the previous statement
end for
If you do, Turing will attempt to run each of the calls at the same time, and the animation will appear to only run once.
Turing allows users to load multiple frame GIF images into a series of pictures into an array using the Pic.FileNewFrames procedure. The user can determine how many frames are found in the GIF file using Pic.Frames. The frames can be sequentially displayed using either Pic.DrawFrames or Pic.DrawFramesBack which display the images one at a time. (Pic.DrawFrames returns once all the images have been displayed, Pic.DrawFramesBack returns immediately allowing the program to continue execution while the frames are being displayed.
Pic.Frames is a function which returns the number of frames found in the GIF. If it is used on a GIF that does not contain multiple images, or on a non-GIF image file, it returns 1.
% Determine the number of frames in "globe.gif"
var numFrames := Pic.Frames ("globe.gif")
% Load the picture
var delayTime : int
var pics : array 1 .. numFrames of int
Pic.FileNewFrames ("globe.gif", pics, delayTime)
for i : 1 .. 50
Pic.DrawFramesBack (pics, 10, 10, picMerge, numFrames, 50, false)
Pic.DrawFramesBack (pics, 20 + Pic.Width (pics(1)), 10, picMerge, numFrames, 50, false)
% All 50 iterations will execute at once if the next call is
% Pic.DrawFramesBack, and not Pic.DrawFrames
Pic.DrawFrames (pics, 30 + 2 * Pic.Width (pics(1)), 10, picMerge, numFrames, 50, false)
end for
for i : 1 .. numFramesPic.Free (pics (i))
end for
This means that you can only call the function by calling Pic.DrawFrames, not by calling DrawFrames.
Pic.FileNewFrames for information on how to load a GIF image with multiple frames into an array of ints.
Pic.DrawFramesBack for information on how to sequentially display the images stored in array of pictures while continuing to execute the program.


{% load i18n %}
{% trans "Hi"%} {{ name }},
{% trans "It looks like you still need to activate your account by confirming your email address.  Click on the link in that message and you will be all set to log in." %}
{% blocktrans %}If you can’t find the email we sent you or have further questions, contact us at {{ site_contact_email }}.{% endblocktrans %}
{% blocktrans %}If you've already activated your account, it may have been deactivated by the {{ site_name }} administrators. If you would like to reactivate your account, please contact us at {{ site_contact_email }}. {% endblocktrans %}
{% trans "Thanks" %},
{% blocktrans %}The {{ site_name }} Team{% endblocktrans %}


It will still work in the foreseeable future however the data is not being updated. Please use our new API/SPARQL service.
This document explains the Linked Jazz API which returns data from the project's transcript analysis and crowdsourcing programs. For the Jazz Name Directory, please visit this page.
The Base URL is:
http://linkedjazz.org/api/
This api has three end points that accept GET requests:
Data is returned by default in JSON format, some requests allow the return of the data in RDF Triple format if a "/nt" is append to the request url. Likewise, the relationship endpoint will return a GEXF network file for use in Gephi network analysis program if "/gexf" is append to the request (examples provided below).
The people endpoint has a search request and a dump endpoint. Entities that are returned appear in the transcripts analyzed and have relationships associated with them. To search add "search/XYZ" to the url. For example to search for people with the word "Fats" in their name use:
http://linkedjazz.org/api/people/search/Fats
Will return a array of objects with names matching the search request.
[
{
"name": "Fats Navarro",
"uri": "<http://dbpedia.org/resource/Fats_Navarro>",
"uriEncoded": "%3Chttp%3A%2F%2Fdbpedia.org%2Fresource%2FFats_Navarro%3E",
"image": "http://linkedjazz.org/image/square/Fats_Navarro.png"
},
{
"name": "Fats Waller",
"uri": "<http://dbpedia.org/resource/Fats_Waller>",
"uriEncoded": "%3Chttp%3A%2F%2Fdbpedia.org%2Fresource%2FFats_Waller%3E",
"image": "http://linkedjazz.org/image/square/Fats_Waller.png"
}
]
This API uses the full URI for requests, the URI must be encoded, forward slashes must be represented by %2F
http://linkedjazz.org/api/people/search/Fats/nt
Will return the same information in RDF Triple format.
To download all idividuals at once (data dump) use:
http://linkedjazz.org/api/people/all
Data dumps are updated hourly.
Relationship information has two facets:
All annotations are returned for a specific relationship, these annotations are added to the system by visitors to the 52nd St. crowdsourcing tool. Currently the API does not aggregate the varying opinions of a specific relationship into a quantified value, it just returns all opinions (even duplicate). This endpoint has the ability to return Gephi compatible GEXF files by appending "/gexf" to the url. Annotated relationships are not returned in the Gephi network, only a single basic rel:knowsOf. This endpoint can also return triples with the "/nt" argument.
You can request:
To return all relationships an idividual has pass their encoded URI as the seconf argument:
http://linkedjazz.org/api/relationships/%3Chttp%3A%2F%2Fdbpedia.org%2Fresource%2FFats_Navarro%3E
To return their ego network add /ego/:
http://linkedjazz.org/api/relationships/ego/%3Chttp%3A%2F%2Fdbpedia.org%2Fresource%2FFats_Navarro%3E
To return all relationships:
http://linkedjazz.org/api/relationships/all
Again, adding "/nt" or "/gexf" will return the request in that format.
JSON Response:
The text endpoint simply returns text from the transcript, pass it the transcript hash ID along with the localId numbers you want seperated by commas. This informaton is returned in the realtionship calls. For example:
http://linkedjazz.org/api/text/f3f0c653ce34f6ff5b6c11734cbe154a/1,5,6,7,4,3
Only JSON response for the text endpoint are available.
| Name | Links |
|---|


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--- layout: example.html title: OffscreenCanvas Example 02 shortdesc: OffscreenCanvas Example 02. docs: > This page's `OffscreenCanvas` Example 02. Ref [OffscreenCanvas — Speed up Your Canvas Operations with a Web Worker](https://developers.google.com/web/updates/2018/08/offscreen-canvas) tags: "OffscreenCanvas, canvas, worker" resources: - https://cdnjs.cloudflare.com/ajax/libs/three.js/108/three.min.js - resources/js/stats.js ---


This inspection reports any @net.jcip.annotations.GuardedBy annotations on static fields or methods,
where
the guard is either a non-static field or 'this'. Guarding a static by a non-static may result in
excessive
concurrency, multiple threads may be able to access the guarded field simultaneously, by locking in
different
object contexts.
New in 9


|
Panda3D
|
Public Member Functions | |
| __init__ (Mutex mutex) | |
| You must pass in a Mutex to the condition variable constructor. More... | |
| Mutex | getMutex () |
| Returns the mutex associated with this condition variable. More... | |
| Public Member Functions inherited from ConditionVarFullDirect | |
| MutexDirect | getMutex () |
| Returns the mutex associated with this condition variable. More... | |
| notify () | |
| Informs one of the other threads who are currently blocked on wait() that the relevant condition has changed. More... | |
| notifyAll () | |
| Informs all of the other threads who are currently blocked on wait() that the relevant condition has changed. More... | |
| output (Ostream out) | |
| This method is declared virtual in ConditionVarFullDebug, but non-virtual in ConditionVarFullDirect. More... | |
| wait () | |
| Waits on the condition. More... | |
| wait (double timeout) | |
| Waits on the condition, with a timeout. More... | |
| __init__ | ( | Mutex | mutex | ) |
| Mutex getMutex | ( | ) |
Returns the mutex associated with this condition variable.


Source tree¶
contrib¶
Code contributed by the community. This code is usually not maintained by the developers but by the respective community contributors.
direct¶
Mid-level tools/subsystems which supports show development, and scene-composition. It contains pretty much all of Panda’s Python code with some C++.Includes code which sets up and initializes PANDA (using Python wrapper functions which call low-level C++ counterparts).Includes python modules for mid-level show coding systems: actors, directdevices (high-level wrappers around low-level input devices such as joysticks, magnetic trackers, etc.), finite state machines, 2D gui elements, intervals, tasks, and the DIRECT tk widget classes and panels.
dmodels¶
Similar to /models but processed by makepanda, models that still need to be converted to .egg at build time
Their origin is probably Disney
dtool¶
This tree contains base classes and core functionality that the other Panda libraries rely on, such as basic threading constructs, file reading/writing constructs and the configuration system. It also contains interrogate, which is used to generate Python bindings for Panda3D.
makepanda¶
Panda3D building system.
models¶
Contains some free models for use in samples. They origin is probably CMU
panda¶
Low-level 3D graphics engine code. Primarily C++.
Includes code for graphics/scene graph setup/manipulation/rendering, graphic state guardians (interfaces to OpenGL, Direct X, tinypanda(based on TinyGL)), and source code for many PANDA systems: animation, audio, gui, input devices, particles, physics, shaders, etc.
android¶
-update me-
androiddisplay¶
-update me-
audio¶
-update me-
audiotraits¶
-update me-
awesomium¶
-update me-
bullet¶
Panda has classes that represent underlying bullet objects, that basically wrap around it and integrate it with Panda classes and structures.
For instance, there’s BulletRigidBodyNode, which is a class that extends a PandaNode and as such can be placed inside the panda scene graph. However, it stores a btRigidBody object from bullet, and exposes methods that are wrappers around that underlying Bullet object.
cftalk¶
connected frame protocol
chan¶
Animation channels. This defines the various kinds of AnimChannels that may be defined, as well as the MovingPart class which binds to the channels and plays the animation. This is a support library for char, as well as any other libraries that want to define objects whose values change over time.
char¶
-update me-
cocoadisplay¶
-update me-
collada¶
-update me-
collide¶
This package contains the classes that control and detect collisions
configfiles¶
This package contains the housekeeping and configuration files needed by things like attach, and emacs.
cull¶
This package contains the Cull Traverser. The cull traversal collects all state changes specified, and removes unneccesary state change requests.It also does all the depth sorting for proper alphaing.
device¶
Device drivers, such as mouse and keyboard, trackers, etc...The base class for using various device APIs is here.
dgraph¶
Defines and manages the data graph, which is the hierarchy of devices, tforms, and any other things which might have an input or an output and need to execute every frame.
display¶
Abstract display classes, including pipes, windows, channels, and display regions.
distort¶
-update me-
doc¶
Documentation Panda3D developers considered that doesn’t fit in any of the packages. For contents please see the part 2 (“other”) of this manual.
downloader¶
Tool to allow automatic download of files in the background.
downloadertools¶
-update me-
dxgsg9¶
Handles all communication with the DirectX backend, and manages state to minimize redundant state changes.
dxml¶
-update me-
egg¶
A.k.a. the “egg library”, this reads, writes, and manipulates egg files. It knows nothing about the scene graph structure in the rest of the player; it lives in its own little egg world.
egg2pg¶
A.k.a. the “egg loader”, this converts the egg structure read from the egg library, above, to a scene graph structure, suitable for rendering.
egg2pg reads egg file and converts it to a Panda scene graph. ie. in-memory structure of PandaNode etc.
I’m assuming “pg” stands for “panda graph”.
Also, technically, the “egg” tree reads the .egg file into in-memory EggData structures, and egg2pg converts those to scene graph structures. When egg2pg converts that into scene graph structures egg files from memory get deleted.  Handy for quickly writing programs that can open a window and display the OmniTriangle.
gles2gsg¶
-update me-
glesgsg¶
-update me-
glgsg¶
Handles all communication with the GL backend, and manages state to minimize redundant state changes.
glstuff¶
-update me-
glxdisplay¶
X windows display classes that replace Glut functionality.
gobj¶
Graphical non-scene-graph objects, such as textures and geometry primitives.
grutil¶
-update me-
gsgbase¶
Base GSG class defined to avoid cyclical dependency build.
iphone¶
-update me-
iphonedisplay¶
-update me-
linmath¶
Linear algebra library.
mathutil¶
Math utility functions, such as frustum and plane
movies¶
-update me-
nativenet¶
-update me-
net¶
Net connection classes
ode¶
-update me-
osxdisplay¶
-update me-
pandabase¶
-update me-
parametrics¶
-update me-
particlesystem¶
Tool for doing particle systems. Contains various kinds of particles, emiters, factories and renderers.
pgraph¶
-update me-
pgraphnodes¶
-update me-
pgui¶
-update me-
physics¶
Base classes for physical objects and forces. Also contains the physics manager class.
physx¶
-update me-
pipeline¶
-update me-
pnmimage¶
Reads and writes image files in various formats, by using the pnm and tiff libraries. PNMImage class manages reading and writing image files from disk.
One of the properties of PNMImage is that all images are laid out (almost) the same way in memory, regardless of their properties. This makes it very easy to write a class like PNMPainter, which can paint equally well on grayscale, grayscale/alpha, 24-bit, 32-bit, or 64-bit images.
pnmimagetypes¶
-update me-
pnmtext¶
-update me-
pstatclient¶
-update me-
putil¶
-update me-
recorder¶
-update me-
rocket¶
-update me-
skel¶
-update me-
speedtree¶
-update me-
testbed¶
C test programs, that primarily link with framework.
text¶
Package for generating renderable text using textured polygons.
tform¶
Data transforming objects that live in the data graph and convert raw data (as read from an input device, for instance) to something more useful.
tinydisplay¶
-update me-
vision¶
-update me-
vrpn¶
Defines the specific client code for interfacing to the VRPN API.
wgldisplay¶
Windows OpenGL specific display classes.
windisplay¶
-update me-
x11display¶
-update me-
pandatool¶
This tree contains various utility tools that are used to manipulate model files and convert models from other formats to Panda3D’s .egg format (and vice versa).
samples¶
Contains samples to demonstrate how Panda3D works.


Performing requestsedit
Once the RestClient
has been created, requests can be sent by calling one of
the available performRequest
or performRequestAsync
method variants.
The performRequest
methods are synchronous and return the Response
directly,
meaning that the client will block and wait for a response to be returned.
The performRequestAsync
variants return void
and accept an extra
ResponseListener
as an argument instead, meaning that they are executed
asynchronously. The provided listener will be notified upon request completion
or failure.
Map<String, String> params = Collections.singletonMap("pretty", "true"); Response response = restClient.performRequest("GET", "/", params);
Map<String, String> params = Collections.emptyMap(); String jsonString = "{" + "\"user\":\"kimchy\"," + "\"postDate\":\"2013-01-30\"," + "\"message\":\"trying out Elasticsearch\"" + "}"; HttpEntity entity = new NStringEntity(jsonString, ContentType.APPLICATION_JSON); Response response = restClient.performRequest("PUT", "/posts/doc/1", params, entity);
|
Send a request by providing the verb, the endpoint, optional querystring
parameters and the request body enclosed in an |
The ContentType
specified for the HttpEntity
is important
because it will be used to set the Content-Type
header so that Elasticsearch
can properly parse the content.
Map<String, String> params = Collections.emptyMap(); HttpAsyncResponseConsumerFactory.HeapBufferedResponseConsumerFactory consumerFactory = new HttpAsyncResponseConsumerFactory.HeapBufferedResponseConsumerFactory(30 * 1024 * 1024); Response response = restClient.performRequest("GET", "/posts/_search", params, null, consumerFactory);
|
Send a request by providing the verb, the endpoint, optional querystring
parameters, optional request body and the optional factory that is used to
create an |
ResponseListener responseListener = new ResponseListener() { @Override public void onSuccess(Response response) { } @Override public void onFailure(Exception exception) { } }; restClient.performRequestAsync("GET", "/", responseListener);
|
Define what needs to happen when the request is successfully performed |
|
|
Define what needs to happen when the request fails, meaning whenever there’s a connection error or a response with error status code is returned. |
|
|
Send an async request by providing only the verb, the endpoint, and the response listener to be notified once the request is completed, minimum set of required arguments |
Map<String, String> params = Collections.singletonMap("pretty", "true"); restClient.performRequestAsync("GET", "/", params, responseListener);
|
Send an async request by providing the verb, the endpoint, some querystring parameter and the response listener to be notified once the request is completed |
String jsonString = "{" + "\"user\":\"kimchy\"," + "\"postDate\":\"2013-01-30\"," + "\"message\":\"trying out Elasticsearch\"" + "}"; HttpEntity entity = new NStringEntity(jsonString, ContentType.APPLICATION_JSON); restClient.performRequestAsync("PUT", "/posts/doc/1", params, entity, responseListener);
|
Send an async request by providing the verb, the endpoint, optional
querystring parameters, the request body enclosed in an
|
HttpAsyncResponseConsumerFactory.HeapBufferedResponseConsumerFactory consumerFactory = new HttpAsyncResponseConsumerFactory.HeapBufferedResponseConsumerFactory(30 * 1024 * 1024); restClient.performRequestAsync("GET", "/posts/_search", params, null, consumerFactory, responseListener);
|
Send an async request by providing the verb, the endpoint, optional
querystring parameters, optional request body and the optional factory that is
used to create an |
The following is a basic example of how async requests can be sent:
final CountDownLatch latch = new CountDownLatch(documents.length); for (int i = 0; i < documents.length; i++) { restClient.performRequestAsync( "PUT", "/posts/doc/" + i, Collections.<String, String>emptyMap(), //let's assume that the documents are stored in an HttpEntity array documents[i], new ResponseListener() { @Override public void onSuccess(Response response) { latch.countDown(); } @Override public void onFailure(Exception exception) { latch.countDown(); } } ); } latch.await();
|
Process the returned response |
|
|
Handle the returned exception, due to communication error or a response with status code that indicates an error |
Each of the above listed method supports sending headers along with the
request through a Header
varargs argument as in the following examples:
Response response = restClient.performRequest("GET", "/", new BasicHeader("header", "value"));
Header[] headers = { new BasicHeader("header1", "value1"), new BasicHeader("header2", "value2") }; restClient.performRequestAsync("GET", "/", responseListener, headers);


General election 2019: How political parties choose election candidates
If you fancy your chances as a politician, you have now sadly missed the deadline to register as a candidate in this general election.
But here are the rules on who can stand and who decides which candidates voters choose from.
What is a parliamentary candidate?
People who want to become a Member of Parliament (MP) are known as a parliamentary candidate, or a prospective parliamentary candidate.
They are usually chosen by a political party - groups of people with similar beliefs who come together to try to win power.
A small number of candidates do not represent a party but stand alone as independents.
The candidates compete against one another for votes in one of the UK's 650 voting areas, or constituencies.
Whoever wins the most votes in a particular constituency is elected as an MP.
Can anyone become an MP?
Almost anyone can put themselves forward as an MP, which can lead to a crowded field. In one poll in 2008, no fewer than 26 candidates stood for election - many of them as independents.
Candidates must be at least 18 years old, a British citizen, or a qualifying citizen of the Commonwealth or Republic of Ireland who is resident in the UK.
Certain groups of people are not allowed to stand. For example, prisoners, members of the police and armed forces and judges are excluded.
To be on the ballot paper - which voters use to make their choice - candidates must complete nomination forms.
They also have to pay a £500 deposit, which is returned to them if they win at least 5% of the votes cast.
BBC
The life of an MP in numbers
- 18Minimum age to stand as a candidate
- £500Amount of deposit required to stand
- 650Number of MPs in the House of Commons
- £79,468MP's current annual average pay
- 8.7Average length of service for MPs (in years)
Source: Parliament UK website
What happens after the deadline for nominations?
The names of the nominated candidates will appear on the ballot paper and they cannot decide to withdraw.
However, if a candidate of one of the registered parties dies, the election in their constituency is postponed. This last happened in the 2010 general election.
How do parties select their candidates?
The parties normally have plenty of time to select candidates for an election. All parties currently represented in the UK Parliament follow similar procedures.
First of all, to be nominated, you have to be a party member for a certain period of time, which varies from three months to a year.
Then there are application forms and assessments, with questions about life and political experiences and career.
The parties then draw up centrally approved lists of candidates, which are then put to the local party members for a final decision.
What is emergency selection?
More than 70 MPs are stepping down at this election and it will not be possible to replace all of them using the parties' usual procedures.
This is because there is so little time to make the decision on new parliamentary candidates before the election takes place.
The parties' ruling bodies, composed of senior figures, are involved in making decisions about who should stand.
Are UK parliamentary candidates representative of the UK population?
In recent years, all major political parties have changed the way they choose their candidates, to improve the diversity of MPs.
Some have introduced gender quotas, all-women shortlists, or lists of preferred candidates from minority backgrounds.
Although the 2017 Parliament was the most diverse yet, it was still not representative of the UK population.
For example, only 32% of MPs were female and just 8% were from ethnic minorities - compared with 14% of the population of England and Wales as a whole.


import sqlalchemy as sa
from collections import defaultdict
from py_meta_utils import McsArgs, McsInitArgs, Singleton, deep_getattr
from sqlalchemy.ext.declarative import declared_attr
from sqlalchemy.orm.interfaces import MapperProperty
from typing import *
[docs]class _ModelRegistry(metaclass=Singleton):
"""
The SQLAlchemy Unchained model registry.
"""
enable_lazy_mapping: bool = False
default_primary_key_column: str = 'id'
def __init__(self):
from .base_model import BaseModel as Model
# keyed by: full.base.model.module.name.BaseModelClassName
# values are the base classes themselves
# ordered by registration/discovery order, so the last class to be
# inserted into this lookup is the correct base class to use
self._base_model_classes: Dict[str, Type[Model]] = {}
# all discovered models "classes", before type.__new__ has been called:
# - keyed by model class name
# - order of keys signifies model class discovery order at import time
# - values are a lookup of:
# - keys: module name of this particular model class
# - values: McsArgs(model_mcs, name, bases, clsdict)
# this dict is used for inspecting base classes when __new__ is
# called on a model class that extends another of the same name
self._registry: Dict[str, Dict[str, McsArgs]] = defaultdict(dict)
# actual model classes awaiting initialization (after type.__new__ but
# before type.__init__):
# - keyed by model class name
# - values are McsInitArgs(model_cls, name, bases, clsdict)
# this lookup contains the knowledge of which version of a model class
# should maybe get mapped (BaseModelMetaclass populates this dict
# via the register method - insertion order of the correct version of a
# model class by name is therefore determined by the import order of
# bundles' models modules (essentially, by the RegisterModelsHook))
self._models: Dict[str, McsInitArgs] = {}
# which keys in self._models have already been initialized
self._initialized: Set[str] = set()
def register_base_model_class(self, model):
self._base_model_classes[model.__module__ + '.' + model.__name__] = model
def _reset(self):
"""
This method is for use by tests only!
"""
self._base_model_classes = {}
self._registry = defaultdict(dict)
self._models = {}
self._initialized = set()
def register_new(self, mcs_args: McsArgs) -> None:
if self._should_convert_bases_to_mixins(mcs_args):
self._convert_bases_to_mixins(mcs_args)
self._registry[mcs_args.name][mcs_args.module] = mcs_args
def register(self, mcs_init_args: McsInitArgs) -> None:
self._models[mcs_init_args.name] = mcs_init_args
if not self.enable_lazy_mapping or not mcs_init_args.cls.Meta.lazy_mapped:
self._initialized.add(mcs_init_args.name)
[docs] def finalize_mappings(self) -> Dict[str, object]:
"""
Returns a dictionary of the model classes that were finalized.
Keyed by the names of the model classes, values are the classes themselves.
"""
from sqlalchemy_unchained.base_model_metaclass import DeclarativeMeta
# this outer loop is needed to perform initializations in the order the
# classes were originally discovered at import time
for name in self._registry:
if self.should_initialize(self._models[name]):
model_cls, name, bases, clsdict = self._models[name]
model_cls._pre_mcs_init()
super(DeclarativeMeta, model_cls).__init__(name, bases, clsdict)
model_cls._post_mcs_init()
self._initialized.add(name)
return {name: self._models[name].cls for name in self._initialized}
[docs] def should_initialize(self, mcs_init_args: McsInitArgs) -> bool:
"""
Whether or not the model represented by ``mcs_init_args`` should be initialized.
"""
if mcs_init_args.name in self._initialized:
return False
return True
def _ensure_correct_base_model(self, mcs_args: McsArgs) -> None:
"""
Makes sure the given ``mcs_args`` uses the correct BaseModel class.
"""
if not self._base_model_classes:
return
correct_base = list(self._base_model_classes.values())[-1]
for b in mcs_args.bases:
if issubclass(b, correct_base):
return
mcs_args.clsdict['Meta'] = \
deep_getattr({}, mcs_args.bases, 'Meta', None)
mcs_args.bases = tuple([correct_base] + list(mcs_args.bases))
def _should_convert_bases_to_mixins(self, mcs_args: McsArgs) -> bool:
"""
Figures out whether the base classes for the given ``mcs_args`` should be
converted to mixins (as opposed to extending BaseModel)
"""
if mcs_args.Meta.polymorphic:
return False
for b in mcs_args.bases:
if b.__name__ in self._registry:
return True
return mcs_args.name in self._registry
def _convert_bases_to_mixins(self, mcs_args: McsArgs) -> None:
"""
For each base class in bases that the _ModelRegistry knows about, create
a replacement class containing the methods and attributes from the base
class:
- the mixin should only extend object (not db.Model)
- if any of the attributes are MapperProperty instances (relationship,
association_proxy, etc), then turn them into @declared_attr props
"""
def _mixin_name(name):
return name + '_FSQLAConvertedMixin'
new_base_names = set()
new_bases = []
for b in reversed(mcs_args.bases):
if b.__name__ not in self._registry:
if b not in new_bases:
new_bases.append(b)
continue
_, base_name, base_bases, base_clsdict = \
self._registry[b.__name__][b.__module__]
for bb in reversed(base_bases):
if bb.__module__ + '.' + bb.__name__ in self._base_model_classes:
if bb not in new_bases:
new_bases.append(bb)
elif (bb.__name__ not in new_base_names
and _mixin_name(bb.__name__) not in new_base_names):
new_base_names.add(bb.__name__)
new_bases.append(bb)
clsdict = {}
for attr, value in base_clsdict.items():
if attr in {'__name__', '__qualname__'}:
continue
has_fk = isinstance(value, sa.Column) and value.foreign_keys
if has_fk or isinstance(value, MapperProperty):
# programmatically add a method wrapped with declared_attr
# to the new mixin class
exec("""\
@declared_attr
def {attr}(self):
return value
""".format(attr=attr),
{'value': value, 'declared_attr': declared_attr},
clsdict)
else:
clsdict[attr] = value
mixin_name = _mixin_name(base_name)
new_bases.append(type(mixin_name, (object,), clsdict))
new_base_names.add(mixin_name)
mcs_args.bases = tuple(reversed(new_bases))


{{set fullPath = ''}} {{each paths path index}} {{ fullPath = fullPath + '/' + path }} {{ path }} {{if index < paths.length-1}} {{/if}} {{/each}}


|
Class Summary |
| AbundanceAssay |
Abundance Assay is the Class to storage the abundance variables for each Protein. |
| Assay |
Assay In the mzTab experiment with the corresponding Reagent and sample |
| BinaryDataArray |
BinaryDataArray is a slim down version of binaryDataArray in mzML
ParamGroup of this object must have the followings in mzML <IP_ADDRESS> definition:
For Chromatograms (once each):
1. |
| Chromatogram |
Chromatogram object. |
| Contact |
This class is just to organize the code, the ConstantRole class have to kind of instance,
one of then is Organization and the Other one if the person both objects extend the IdentifiableParamGroup
in order to organize the code we create a new abstract class named AbstractContact to separate the Contacts types
from the IdentifiableParamGroup. |
| ContactRole |
Contact Role is a class to define the role of an Specific Contact (Organization or Person)in the context
of the Experiment a role is defined as CvParams ()
The role that a Contact plays in an organization or with respect to the associating class. |
| CVLookup |
CVLookup is referenced in every CvParam. |
| CvParam |
This object holds additional data in controlled vocabulary. |
| DataBaseTranslation |
DataBaseTranslation control and storage the information of Nucleotide Databases. |
| DataProcessing |
Description of the way in which a List of Software were used. |
| DBSequence |
A database sequence from the specified SearchDatabase (nucleic acid or amino acid). |
| Enzyme |
Enzyme used during the search in Databases. |
| ExperimentMetaData |
General descriptions shared or used for the whole file. |
| ExperimentProtocol |
Protocol used to generate the dataset, added by PRIDE XML 2.0. |
| ExternalData |
Data external to the XML instance document. |
| Filter |
Filter controlled the database filters with CVParams and UserParams. |
| FragmentIon |
FragmentIon stores details about peptide fragment ion information. |
| Gel |
Gel is a class to Describe the Gel Spot for each Protein. |
| Identifiable |
Other classes in the model can be specified as sub-classes, inheriting from Identifiable. |
| IdentifiableParamGroup |
Other classes in the model can be specified as sub-classes, inheriting from IdentifiablePraramGroup. |
| IdentificationMetaData |
This class is used to manage and store the information of the metadata for protein and spectrum
identifications. |
| InstrumentComponent |
InstrumentComponent is key to keep the order of different instrument
component. |
| InstrumentConfiguration |
Description of a particular hardware configuration of a mass spectrometer. |
| IonType |
IonType defines the index of fragmentation ions being reported,
importing a CV term for the type of ion e.g. |
| MassTable |
|
| Modification |
A molecule modification specification. |
| MzGraph |
Abstract object can be extended by both Spectrum and Chromatogram. |
| MzGraphMetaData |
This class storage the information related with metadata at the spectrum level. |
| Organization |
Organizations are entities like companies, universities, government agencies. |
| Parameter |
Parameter exist in neither PRIDE XML nor mzML, it created for method sharing. |
| ParamGroup |
ParamGroup is a container for CvParams and UserParams. |
| Peptide |
The class Peptide Manage the information for peptide Identifications |
| PeptideEvidence |
PeptideEvidence links a specific Peptide Element to a specific position in a DBSequence. |
| PeptideSequence |
One (poly)peptide (a sequence with modifications). |
| Person |
A person's name and contact details. |
| Precursor |
The method of precursor ion selection and activation |
| ProcessingMethod |
Description of the default peak processing method. |
| Protein |
Abstract class for both GelFreeIdentification and TwoDimIdentification
|
| ProteinGroup |
A set of logically related results from a protein detection, for example to represent conflicting assignments of
peptides to proteins |
| Protocol |
The collection of protocols which include the parameters and settings of the performed analyses. |
| Provider |
Provider object. |
| Quantification |
Quantitation object is a pseudo object which contains all the cv params related to quantitative data for PRIDE XMLs. |
| QuantitativeSample |
QuantitativeSample which contains quantitative related information
This is mainly for PRIDE XMl
|
| QuantPeptide |
Quantitative Peptide is a Peptide with Quantitation information and is used in mzTab file formats. |
| QuantScore |
The QuantScore is the List of StudyVariable Scores and the Abundance by Assays. |
| Reference |
Reference is added by PRIDE XML 2.0., also a generic reference for mzIdentML References. |
| ReferenceableParamGroup |
Referenceable param group stores a map of reference string to param group. |
| Sample |
Description of the sample used to generate the Dataset. |
| Scan |
Scan or acquisition from original raw file used to create this
peak list, as specified in sourceFile. |
| ScanList |
List and descriptions of scans. |
| ScanSetting |
Description of the acquisition settings or the instrument prior to the start of
the run. |
| Score |
Score stores a number of scores from a list of search engines. |
| SearchDataBase |
A database for searching mass spectra. |
| SearchModification |
Search Modification is the variable or fixed modification defined in the Identification Search
by the user. |
| Software |
Software details. |
| SourceFile |
Description of source file, including identification file, location and type. |
| SpectraData |
A data set containing spectra data (consisting of one or more spectra). |
| Spectrum |
A peak list including the underlying acquisitions. |
| SpectrumIdentification |
PSM Spectrum identification match. |
| SpectrumIdentificationList |
Represents the set of all search results from SpectrumIdentification. |
| SpectrumIdentificationProtocol |
The parameters and settings of a SpectrumIdentification analysis. |
| StudyVariable |
Study variable is use for Quantitation on mzTab files. |
| SubstitutionModification |
Substitution Modification is a Modification where One amino acid is replaced by another amino acid. |
| UserParam |
Uncontrolled user parameters, allowing free text. |


AWS::IAM::User
The AWS::IAM::User
type creates a user.
Syntax
To declare this entity in your AWS CloudFormation template, use the following syntax:
JSON
{ "Type": "AWS::IAM::User", "Properties": { "Groups": [
String, ...
], "LoginProfile":LoginProfile Type
, "ManagedPolicyArns": [String, ...
], "Path":String
, "PermissionsBoundary":String
, "Policies": [Policies, ...
], "UserName":String
} }
YAML
Type: AWS::IAM::User Properties: Groups: -
String
LoginProfile:LoginProfile Type
ManagedPolicyArns: -String
Path:String
PermissionsBoundary:String
Policies: -Policies
UserName:String
Properties
Groups
-
A name of a group to which you want to add the user.
Required: No
Type: List of String values
Update requires: No interruption
LoginProfile
-
Creates a login profile so that the user can access the AWS Management Console.
Required: No
Type: IAM User LoginProfile
Update requires: No interruption
ManagedPolicyArns
-
One or more managed policy ARNs to attach to this user.
Required: No
Type: List of String values
Update requires: No interruption
Path
-
The path for the user name. For more information about paths, see IAM Identifiers in the IAM User Guide.
Required: No
Type: String
Update requires: No interruption
PermissionsBoundary
-
The ARN of the policy that is used to set the permissions boundary for the user. Minimum length of 20. Maximum length of 2048.
Required: No
Type: String
Update requires: No interruption
Policies
-
The policies to associate with this user. For information about policies, see Overview of IAM Policies in the IAM User Guide.
Note
If you specify multiple polices, specify unique values for the policy name. If you don't, updates to the IAM user will fail.
Required: No
Type: List of IAM Policies
Update requires: No interruption
UserName
-
A name for the IAM user. For valid values, see the
UserName
parameter for theCreateUser
action in the IAM API Reference. If you don't specify a name, AWS CloudFormation generates a unique physical ID and uses that ID for the user name.Important
If you specify a name, you cannot perform updates that require replacement of this resource. You can perform updates that require no or some interruption. If you must replace the resource, specify a new name.
If you specify a name, you must specify the
CAPABILITY_NAMED_IAM
value to acknowledge your template's capabilities. For more information, see Acknowledging IAM Resources in AWS CloudFormation Templates.Warning
Naming an IAM resource can cause an unrecoverable error if you reuse the same template in multiple regions. To prevent this, we recommend using
Fn::Join
andAWS::Region
to create a region-specific name, as in the following example:{"Fn::Join": ["", [{"Ref": "AWS::Region"}, {"Ref": "MyResourceName"}]]}
.Required: No
Type: String
Update requires: Replacement
Return Values
Ref
Specifying this resource ID to the intrinsic Ref function will return the
UserName
. For example: mystack-myuser-1CCXAFG2H2U4D
.
For more information about using the Ref
function, see Ref.
Fn::GetAtt
Fn::GetAtt
returns a value for a specified attribute of this type.
The following are the available attributes and sample return values.
Arn
-
Returns the Amazon Resource Name (ARN) for the specified AWS::IAM::User resource. For example:
arn:aws:iam::123456789012:user/mystack-myuser-1CCXAFG2H2U4D
.
For more information about using Fn::GetAtt
, see Fn::GetAtt.
Template Examples
To view AWS::IAM::User snippets, see: Declaring an IAM User Resource.


DBUtils 0.9.2 was released on September 22, 2006.
This is the third public release of DBUtils.
SolidDB
SteadyDB
SolidPg
SteadyPg


Ignaz Philipp Semmelweis (1 July 1818 – 13 August 1865) was a Hungarian physician and scientist, now known as an early pioneer of antiseptic procedures. Described as the "saviour of mothers", Semmelweis discovered that the incidence of puerperal fever (also known as "childbed fever") could be drastically cut by the use of hand disinfection in obstetrical clinics. Puerperal fever was common in mid-19th-century hospitals and often fatal. Semmelweis proposed the practice of washing hands with chlorinated lime solutions in 1847 while working in Vienna General Hospital's First Obstetrical Clinic, where doctors' wards had three times the mortality of midwives' wards. He published a book of his findings in Etiology, Concept and Prophylaxis of Childbed Fever. Despite various publications of results where hand washing reduced mortality to below 1%, Semmelweis's observations conflicted with the established scientific and medical opinions of the time and his ideas were rejected by the medical community. He could offer no acceptable scientific explanation for his findings, and some doctors were offended at the suggestion that they should wash their hands and mocked him for it. In 1865, the increasingly outspoken Semmelweis supposedly suffered a nervous breakdown and was committed to an asylum by his colleagues. In the asylum he was beaten by the guards. He died 14 days later, from a gangrenous wound on his right hand that may have been caused by the beating. Semmelweis's practice earned widespread acceptance only years after his death, when Louis Pasteur confirmed the germ theory, and Joseph Lister, acting on the French microbiologist's research, practised and operated using hygienic methods, with great success.
Scientists
ZoltánGombocz


Choose the resources you want
Select from over 770 different CloudFormation resources. Resources are organized by category and service.
---
description: Cloud Resource Property Manager imports YAML resource property files for AWS CDK.
---
Manage cloud resource properties with crpm
AWS CloudFormation, piece by piece
Select from over 770 different CloudFormation resources. Resources are organized by category and service.
Import property templates for AWS resources and auto-insert references into existing CDK code. View an example property template.
Deploy CloudFormation stacks or synthesize templates with CDK just as you normally would.


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def | __init__ |
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def | bucket_exists |
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def | bucket |
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def | listBuckets |
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def | termBucket1 |
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def | listTermBucket1 |
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def | termBucket_1 |
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def | termBucket2 |
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def | termBucket_2 |
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def | listTermBucket2 |
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def | listTermBucket_2 |
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def | hashBucket |
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def | listHashBucket |
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def | intBucket |
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def | listIntBucket |
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def | nullBucket |
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def | listNullBucket |
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def | get |
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def | put |
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def | delete |
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def | cursor |
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def | sync |
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def | open |
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def | close |
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def | set_flags |
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| session |
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| store |
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| maxBuckets |
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| maxItemsPerBucket |
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| bucketType |
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| basePath |
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| cxns |
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| createArgs |
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| openArgs |
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| preOpenFlags |
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| bucketFns |
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| listBucketFns |
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The documentation for this class was generated from the following file:


Click
on a node in the tree to add a new child.Alt + Click
on a node in the tree to remove it and it's children.Mouseover
on a node and press +
or -
to adjust its sizeShift + ,
or Shift + .
to move to the next/previous order saved in input file.Mouseover
on a node and press o
to find an order for that node and its children using the bitonic algorithm as proposed by us. Non optimal
for every graph except 1-level quasi-threshold
Shift + D
to find a linear ordering using the Dynamic Programming algorithm as proposed by A Note on Exact Algorithms for Vertex Ordering Problems on Graphs in O(2N)
time and space. Optimal
for every graph
Shift + T
to find a linear ordering using the using the Threshold Algorithm for threshold graphs as proposed by Cutwidth of split graphs and threshold graphs in O(n)
time. Optimal
only for threshold graph
~
to open up debug information. Then Mouseover
a node to see it's specified debug info.


Squid normally returns ICP_MISS for queries to stale objects. This causes an annoying problem described in Chapter 10. If you enable this directive, Squid returns ICP_HIT messages instead.
Syntax
icp_hit_stale on|off
Default
icp_hit_stale off
Example
icp_hit_stale on
Related
cache_peer, miss_access


Your access to and use of the CentralLibrary’s (the "Library") Website (the "Site") is subject to the following terms and conditions, as well as all applicable laws. Your access to the Site is in consideration for your agreement to these Terms and Conditions of Use, whether or not you are a registered user. By accessing, browsing, and using the Site, you accept, without limitation or qualification, these Terms and Conditions of Use.
Modification of the Agreement
The Library maintains the right to modify these Terms and Conditions of Use and may do so by posting notice of such modifications on this page. Any modification is effective immediately upon posting, unless otherwise stated. Your continued use of the Site following the posting of any modification signifies your acceptance of such modification. You should periodically visit this page to review the current Terms and Conditions of Use.
Conduct
You agree to access and use the Site only for lawful purposes. You are solely responsible for the knowledge of and adherence to any and all laws, statutes, rules and regulations pertaining to your use of the Site. By accessing the Site, you agree that you will not:
-
Use the Site to commit a criminal offense or to encourage others to engage in any conduct which would constitute a criminal offense or give rise to civil liability.
-
Use the Site to impersonate other parties or entities.
-
Use the Site to upload any content that contains a software virus, "Trojan Horse" or any other computer code, files, or programs that may alter, damage, or interrupt the functionality of the Site or the hardware or software of any other person who accesses the Site.
-
Upload, post, email, or otherwise transmit any materials that you do not have a right to transmit under any law or under a contractual relationship.
-
Alter, damage, or delete any content posted on the site.
-
Disrupt the normal flow of communication in any way.
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Claim a relationship with or represent any business, association, or other organization with which you are not authorized to claim such a relationship or represent.
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Post or transmit any unsolicited advertising, promotional materials, or other forms of solicitation.
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Post any material that infringes upon or violates the intellectual property rights of another.
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Collect or store personal information about others.


Emotions by Mike
www.emotionslive.co.uk
The simplicity and obvious grid of the page makes it well designed
www.emotionslive.co.uk
The simplicity and obvious grid of the page makes it well designed
Emotions by Mike
www.emotionslive.co.uk
The simplicity and obvious grid of the page makes it well designed
www.emotionslive.co.uk
The simplicity and obvious grid of the page makes it well designed
Emotions by Mike
www.emotionslive.co.uk
The simplicity and obvious grid of the page makes it well designed
www.emotionslive.co.uk
The simplicity and obvious grid of the page makes it well designed