dubbo:provider
The default configuration of service provider. The corresponding class is org.apache.dubbo.config.ProviderConfig
. This tag provider default values for <dubbo:service>
and <dubbo:protocol>
.
| Attribute | Corresponding URL parameter | Type | Required | Default Value | Function | Description | Compatibility |
|---|---|---|---|---|---|---|---|
| id | string | False | dubbo | Configuration association | Bean Id of the protocol, can be referenced in <dubbo:service proivder=""> | Above 1.0.16 | |
| protocol | <protocol> | string | False | dubbo | Performance optimize | Protocol name | Above 1.0.16 |
| host | <host> | string | False | Find local IP automatically | Service discovery | The host name of services, to specify VIP and domain, or having multiple network cards. If null, it will find local IP automatically. It's recommended to let Dubbo find local IP automatically | Above 1.0.16 |
| threads | threads | int | False | 200 | Performance optimize | The size of the services' Thread Pool(Fixed) | Above 1.0.16 |
| payload | payload | int | False | 8388608(=8M) | Performance optimize | The length limit of request and response, unit is byte | Above 2.0.0 |
| path | <path> | string | False | Service discovery | Context path of the service provider, the prefix of the service path | Above 2.0.0 | |
| server | server | string | False | Default is netty for dubbo protocol, servlet for http protocol | Performance optimize | The server implement of the protocol. For example, mina and netty for dubbo ptotocol, jetty and servlet for http protocol. | Above 2.0.0 |
| client | client | string | False | Default is netty for dubbo protocol | Performance optimize | The client implement of the protocol. For example, mina and netty for dubbo protocol. | Above 2.0.0 |
| codec | codec | string | False | dubbo | Performance optimize | Protocol encoding | Above 2.0.0 |
| serialization | serialization | string | False | Default is hessian2 for dubbo protocol, json for http protocol | Performance optimize | Protocol serialization, It's used when a protocol has multiple serializations. For example, dubbo protocol has 4 serializations, they are dubbo , hessian2 , java and compactedjava , http protocol has json and xml . |
Above 2.0.5 |
| default | boolean | False | false | Configuration association | To specify the default protocol for support multiple protocols. | Above 1.0.16 | |
| filter | service.filter | string | False | Performance optimize | The filter name of the RPC process of the provider, use , to separate multiple filter names. |
Above 2.0.5 | |
| listener | exporter.listener | string | False | Performance optimize | The listener name of the provider, use , to separate multiple listener names. |
Above 2.0.5 | |
| threadpool | threadpool | string | False | fixed | Performance optimize | The type of Thread Pool, fixed/cached are available | Above 2.0.5 |
| accepts | accepts | int | False | 0 | Performance optimize | The maximum connection count of the service provider | Above 2.0.5 |
| version | version | string | False | 0.0.0 | Service discovery | Service version. It's recommended to use 2 digitals such as 1.0 . It's necessary to upgrade version only when the service is not compatible. |
Above 2.0.5 |
| group | group | string | False | Service discovery | The group of the service providers. It can distinguish services when it has multiple implements. | Above 2.0.5 | |
| delay | delay | int | False | 0 | Performance optimize | The delay time(ms) for registering services. When set to -1, it indicates that the services will expose to registry after the Spring context is initialized | Above 2.0.5 |
| timeout | default.timeout | int | False | 1000 | Performance optimize | The RPC timeout(ms) | Above 2.0.5 |
| retries | default.retries | int | False | 2 | Performance optimize | The retry count for RPC, not including the first invoke. Please set it to 0 if don't need to retry. | Above 2.0.5 |
| connections | default.connections | int | False | 0 | Performance optimize | The maximum connections of every provider. For short connection such as rmi, http and hessian, it's connection limit, but for long connection such as dubbo, it's connection count. | Above 2.0.5 |
| loadbalance | default.loadbalance | string | False | random | Performance optimize | Strategy of load balance, random , roundrobin and leastactive are available. |
Above 2.0.5 |
| async | default.async | boolean | False | false | Performance optimize | Asynchronous execution, not reliable. It does not block the execution thread just only ignores the return value. | Above 2.0.5 |
| stub | stub | boolean | False | false | Service governance | true means use the default proxy class name, which is the interface name with Local as the suffix. |
Above 2.0.5 |
| mock | mock | boolean | False | false | Service governance | true means use the default mock class name, which is the interface name with Mock suffix. |
Above 2.0.5 |
| token | token | boolean | False | false | Service governance | Enable token validation. Disable token if it's null. It will generate token randomly when it is enable. | Above 2.0.5 |
| registry | registry | string | False | By default, register to all registries | Configuration association | Register services to specified registry while having multiple registries. It is the id value of the <dubbo:registry>. If don't want to register to any registry, set it as N/A |
Above 2.0.5 |
| dynamic | dynamic | boolean | False | true | Service governance | Whether the service is registered dynamically. If false, services will be showed as disable , you need to enable it manually. And you also need to disable it when provider shut down. |
Above 2.0.5 |
| accesslog | accesslog | string/boolean | False | false | Service governance | true will write access log to logger. Specifying it to a log path, you can write access logs to special log file. |
Above 2.0.5 |
| owner | owner | string | False | Service governance | The owner of the service. It's used for service governance. | Above 2.0.5 | |
| document | document | string | False | Service governance | Service document URL | Above 2.0.5 | |
| weight | weight | int | False | Performance optimize | The weight of the service | Above 2.0.5 | |
| executes | executes | int | False | 0 | Performance optimize | The maximum parallel execution request count per method per service for the provider. | Above 2.0.5 |
| actives | default.actives | int | False | 0 | Performance optimize | The maximum concurrent calls per method per service of the consumer. | Above 2.0.5 |
| proxy | proxy | string | False | javassist | Performance optimize | The proxy implement, jdk/javassist are available. | Above 2.0.5 |
| cluster | default.cluster | string | False | failover | Performance optimize | failover/failfast/failsafe/failback/forking are available. | Above 2.0.5 |
| deprecated | deprecated | boolean | False | false | Service governance | Mark the service is deprecated. If true, there will log an error log on the client side. | Above 2.0.5 |
| queues | queues | int | False | 0 | Performance optimize | The queue size of the Thread Pool. It's recommended not to specify it in order to invoke other provides rather than queueing unless you have special requirement. | Above 2.0.5 |
| charset | charset | string | False | UTF-8 | Performance optimize | Serialization encoding | Above 2.0.5 |
| buffer | buffer | int | False | 8192 | Performance optimize | The buffer size of networking IO | Above 2.0.5 |
| iothreads | iothreads | int | False | CPU + 1 | Performance optimize | The size of io Thread Pool(Fixed). These threads are used to receive, serialize and deserialize IO data. See threads for configuring business thread pool. It's not recommended to configure this. |
Above 2.0.5 |
| telnet | telnet | string | False | Service governance | Supported telnet commands, use , to separate commands. |
Above 2.0.5 | |
| contextpath | contextpath | String | False | Empty string | Service governance | ||
| layer | layer | string | False | Service governance | The biz layer of the service provider, such as biz, dao, intl:web and china:acton. | Above 2.0.7 |


Match Play. Red leads 4-1 to 7. How should Red play 66?
pips Red=141 White=149
(CorrectAnswer= 0/0, ErrorScore= 0)
Although 9/3(2) looks neat the right play by a long way is 24/18(2), 13/(7), locking in the White checkers on Red’s ace-point.
For money 24/18(2), 9/3(2) would be a blunder but at this match score it is a double blunder because in a lot of variations Red will want to play on for an undoubled gammon to get him to 6-1 (Crawford). That extra point is extremely valuable. On a minor point 24/18(2), 13/7(2) duplicates White’s hitting aces.
For money 24/18(2), 9/3(2) would be a blunder but at this match score it is a double blunder because in a lot of variations Red will want to play on for an undoubled gammon to get him to 6-1 (Crawford). That extra point is extremely valuable. On a minor point 24/18(2), 13/7(2) duplicates White’s hitting aces.
1. Cubeful 2-ply 24/18(2) 13/7(2) Eq.: +0.579 0.682 0.208 0.011 - 0.318 0.086 0.003 2. Cubeful 2-ply 24/18(2) 9/3(2) Eq.: +0.435 (-0.144) 0.645 0.225 0.011 - 0.355 0.098 0.002 3. Cubeful 0-ply 13/7(2) 9/3(2) Eq.: -0.098 (-0.677) 0.511 0.190 0.018 - 0.489 0.154 0.010 4. Cubeful 0-ply 24/18 13/7(3) Eq.: -0.138 (-0.717) 0.504 0.177 0.016 - 0.496 0.161 0.009 5. Cubeful 0-ply 24/18(2) 13/7 9/3 Eq.: -0.393 (-0.972) 0.475 0.160 0.011 - 0.525 0.238 0.023


Python Buddy + Pycee
Code editor with syntax checker and error assistant included
Run
{% include 'index/examples_button.html' %}
Code output


{# Set the title of the page #} {% set page_title = "Voice and Tone" %} {% include "templates/header.html" %} {% include "templates/footer.html" %}


Create a new repository on your computer.
A repository is a collection of related items. In our case, when writing software, it is a collection of files related to a software project. You can imagine it as a project folder with all the relevant files inside of it. In fact, that's what it will look like on your computer anyways. Sometimes they're called "repos" for short.
You tell Git what your project is and Git will start tracking all of the changes to that folder. This makes it a Git repository: a folder of items being tracked by Git. Git tracks when files are added, subtracted or even a single letter in a single file is changed. All of this plus who did it and when is tracked by Git. In software, tracking changes like this is called version control.
Terminal (or Bash) is a way to instruct your computer to do things by typing commands rather than clicking applications with your mouse. You can rename files, open files, create new folders, move between directories (folders) and more all by running typed commands.
Besides navigating your computer, you can also use programs in Terminal that have a command-line interface (CLI), meaning they can be run with commands in terminal. Git is one of these. The first part of the command lets your computer know you're talking to Git. The parts following that are the commands and the different options you want Git to act on.
In this tutorial you'll learn a few basic command-line actions (in addition to Git commands) for navigating your computer; they're described within the steps.
You're going to create a new project folder and then initialize it as a Git repository. We'll name the folder 'hello-world' in this challenge, but you can choose a different name if you already have a folder named this (it's a common first project name).
Time to open your terminal!
In your terminal window, type these commands, one at a time, pressing enter/return after each.
Firstly, let's make a new folder for all of our projects we'll do on the course:
Tip: mkdir stands for make directory
mkdir Projects
Then go into that folder:
Tip: cd stands for change directory
cd Projects
Make a new folder for the project:
mkdir hello-world
Then go into that folder:
cd hello-world
Finally, tell Git to initialize (start tracking) the folder you are now in:
git init
The last command should return something starting with "Initialized empty Git repository". The others commands do not return anything.
You did it! If you want to be double-sure that it's a Git repository, type git status
and if it
doesn't return 'fatal: Not a git repository...', you're golden!
mkdir <FOLDERNAME>
cd <FOLDERNAME>
ls
git init
One of the most common mistakes among students when first starting out with Git, is to initialise their Git repository (git init
) inside their home folder (~
) or their Projects folder.
Always ensure you only initialize a new repository inside a single project folder so each project has its own repository.


{% extends "base.html" %} {% block content %}
There was an error on the server. You may wish to return to the home page.


Config Library: 2
Module Information Routine
| GEOS SDK TechDocs
|
| 1 Providing the UI
| 3 Important Messages
The Preferences application needs to know some information about each module to present the trigger which allows the user into said module. Preferences does this by calling the second routine exported by the module library. Preferences expects this routine to fill in a blank
PrefModuleInfo
structure.
By filling in this structure, the routine describes the button that Preferences will use to represent the module. Also, you may specify a User Level for the module, so it will be presented only to users with enough expertise to use it. You may also ask that only users with certain privileges be given access to the module; without the proper privileges, they won't see it.
The Routine should have the parameters
void _pascal (*PrefModuleInfo)
For an example of such a routine, see Module Information Routine
.
Code Display 22-3
Module Information Routine
void _pascal MPMGetModuleInfo(PrefModuleInfo *info)
{ /* We'll set up this structure for both system and user information */
moduleInfo->PMI_requiredFeatures = 0;
moduleInfo->PMI_prohibitedFeatures = 0;
moduleInfo->PMI_minLevel = UIIL_ADVANCED;
moduleInfo->PMI_maxLevel = UIIL_MAX_LEVEL;
moduleInfo->PMI_monikerList = @MPMMonikerList;
moduleInfo->PMI_monikerToken = moduleToken;
}
const GeodeToken moduleToken = { "MyPf", MANUFACTURER_ID_MINE };
The following information about the
PrefModuleInfo
structure may prove useful when writing the routine:
-
PMI_requiredFeatures
-
This field allows you to restrict the display of your module so that it will only appear to users which have certain privileges.
-
PMF_HARDWARE
-
These settings are for a user who has permissions to actually change the configuration of the workstation. In a network environment where users log in to different machines at different times, normal users would be prevented from changing the mouse drivers, video drivers, etc.
-
PMF_SYSTEM
-
These changes are more complex and potentially more damaging than the basic "user" changes, therefore, some users may be prevented from using these settings.
-
PMF_NETWORK
-
These are network settings. Generally only the system administrator should see these settings, as they affect the entire network.
-
PMF_USER
- These are basic user changes. These settings are the most basic and least dangerous, controlling user preferences such as background color and screen saver types.
-
PMI_prohibitedFeatures
-
This flag field allows you to restrict the display of your module so that it will only appear to users who
don't
have certain privileges. If you had two modules, advanced UI and simple UI, one might be for the sysop and the other for normal users--this would keep the sysop's Preferences from being "cluttered" by the plain user module. The flags available are the same as those for
PMI_requiredFeatures
.
-
PMI_minLevel
-
This field allows you to specify the minimum User UI Level in which your module should appear. If the module's UI is very complicated and will confuse novice users, use this field to hide it from them.
-
PMI_maxLevel
; -
This field allows you to specify the
maximum
User UI Level in which your module should appear. If you have two versions of your module--one for advanced users and one for novice users--use this field to hide the novice module from the advanced users.
-
PMI_monikerList
-
Like the moniker list for an application, this will provide the icon shown on the main Preferences screen. Create this using the Icon editor. You should have icon formats 64x40 color, 64x40 monochrome, and 64x18 monochrome.
-
PMI_monikerToken
-
A four character token and manufacturer ID by which to recognize the module.
| GEOS SDK TechDocs
|
| 1 Providing the UI
| 3 Important Messages


Whether you like it or not, the way you look plays a role in your success in the modern workplace. “The problem with appearance is that it translates to performance,” says Nicole Williams, a career expert at LinkedIn.  “When you don't fit in, you're not as accepted and welcomed.” And at some point, this could hurt your chances of getting a promotion. In today's workplace, where casual wear is becoming increasingly popular, it can be tricky to understand the rules of appearance. We talked to career and etiquette experts to get a better idea.
“Everyone draws their lines differently,” says etiquette coach Barbara Pachter. “For example, you may be able to wear shorts, but not cut-offs. If your company has a dress code, follow it.”
Not only is wearing inappropriate clothing distracting, it can also give off an inaccurate impression. Avoid too-short hemlines, too-tall h eels, plunging necklines, and exposed under garments. “A lot of women a re oversexualized in the office,” says Williams. “You can wear a V-neck shirt, but make sure you keep your legs covered. People end up discrediting themselves by looking too provocative.” Pachter agrees: “What do you want to be remembered for? What you wore or what you said?”
You don't want your personal things jutting out of your purse or briefcase. Keep your bag clean on the inside, especially if it doesn't have a zipper, which allows others to catch a glimpse inside from time to time. Williams also advises professionals not to wear knapsacks because it looks “too collegiate”.
“Pay attention to your colour choices,” Pachter says. “Darker colours usually convey a stronger impression than lighter ones.” If you're giving a presentation, make sure the colour you're wearing doesn't blend in with the background behind you.


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This app was mainly structured to help upcoming artists who aspire to be poets.
We thought it would be a good thing for them to have a good place where they could
start practicing and go public with their amazing quotes. This app will achieve
that by helping them first go public with their quotes, which would help them get
reviews by the numbers of likes the quote can have.
With that they could do better next time.
But this could also be a good place for you quote lovers who can post whatever quote u love.


D & B Events
Summerball 2013 Bournemouth
- HIGH CONTRAST
- Syron (live)
- Whitey
- J Fresh & Davi C
- Audio Sleaze
- Skydro
- Felon
Murky Drum & Bass Presents
- Annix
- Harry Bizzle
- Chunky Bizzle
- Diesel
- Unknown Razda
- Gumster
- TKO
10 YEARS OF METROPOLIS
- Sub Focus (DJ Set) and ID
- Jaguar Skills
- Friction
- Hype
- Mistajam
- Foreign Beggars


Class: SimpleCov::SourceFile::Line
| Relationships & Source Files | |
| Inherits: | Object |
| Defined in: | lib/simplecov/source_file/line.rb |
Overview
Representation of a single line in a source file including this specific line’s source code, line_number and code coverage, with the coverage being either nil (coverage not applicable, e.g. comment line), 0 (line not covered) or >1 (the amount of times the line was executed)
Class Method Summary
- .new(src, line_number, coverage) ⇒ Line constructor
Instance Attribute Summary
-
#coverage
readonly
The coverage data for this line: either nil (never), 0 (missed) or >=1 (times covered).
-
#covered? ⇒ Boolean
readonly
Returns true if this is a line that has been covered.
-
#line
readonly
Alias for #line_number.
-
#line_number
(also: #line, #number)
readonly
The line number in the source file.
-
#missed? ⇒ Boolean
readonly
Returns true if this is a line that should have been covered, but was not.
-
#never? ⇒ Boolean
readonly
Returns true if this line is not relevant for coverage.
-
#number
readonly
Alias for #line_number.
-
#skipped
readonly
Whether this line was skipped.
-
#skipped? ⇒ Boolean
readonly
Returns true if this line was skipped, false otherwise.
-
#source
readonly
Alias for #src.
-
#src
(also: #source)
readonly
The source code for this line.
Instance Method Summary
Constructor Details
.new(src, line_number, coverage) ⇒ Line
# File 'lib/simplecov/source_file/line.rb', line 25
def initialize(src, line_number, coverage) raise ArgumentError, "Only String accepted for source" unless src.is_a?(String) raise ArgumentError, "Only Integer accepted for line_number" unless line_number.is_a?(Integer) raise ArgumentError, "Only Integer and nil accepted for coverage" unless coverage.is_a?(Integer) || coverage.nil? @src = src @line_number = line_number @coverage = coverage @skipped = false end
Instance Attribute Details
#coverage (readonly)
The coverage data for this line: either nil (never), 0 (missed) or >=1 (times covered)
# File 'lib/simplecov/source_file/line.rb', line 16
attr_reader :coverage
#covered? ⇒ Boolean
(readonly)
Returns true if this is a line that has been covered
#line (readonly)
Alias for #line_number.
# File 'lib/simplecov/source_file/line.rb', line 22
alias line line_number
#line_number (readonly) Also known as: #line, #number
The line number in the source file. Aliased as :line
, :number
# File 'lib/simplecov/source_file/line.rb', line 14
attr_reader :line_number
#missed? ⇒ Boolean
(readonly)
Returns true if this is a line that should have been covered, but was not
#never? ⇒ Boolean
(readonly)
Returns true if this line is not relevant for coverage
#number (readonly)
Alias for #line_number.
# File 'lib/simplecov/source_file/line.rb', line 23
alias number line_number
#skipped (readonly)
Whether this line was skipped
# File 'lib/simplecov/source_file/line.rb', line 18
attr_reader :skipped
#skipped? ⇒ Boolean
(readonly)
Returns true if this line was skipped, false otherwise. Lines are skipped if they are wrapped with
:nocov: comment lines.
# File 'lib/simplecov/source_file/line.rb', line 58
def skipped? skipped end
#source (readonly)
Alias for #src.
# File 'lib/simplecov/source_file/line.rb', line 21
alias source src
#src (readonly) Also known as: #source
The source code for this line. Aliased as :source
# File 'lib/simplecov/source_file/line.rb', line 12
attr_reader :src
Instance Method Details
#skipped!
Flags this line as skipped
# File 'lib/simplecov/source_file/line.rb', line 52
def skipped! @skipped = true end
#status
The status of this line - either covered, missed, skipped or never. Useful i.e. for direct use as a css class in report generation


--- layout: post title: Winter knitting 2010 date: 2010-10-17 21:57:07.000000000 -04:00 categories: - Knitting tags: - Crazy Print Vest - Knitting - Pebble Vest status: publish type: post published: true meta: _edit_last: '1' _wp_old_slug: '' dsq_thread_id: '1188036941' author: login: cint email<EMAIL_ADDRESS>display_name: Jacinta first_name: Jacinta last_name: '' ---
In honour of the fact it has taken me 5 years, yes, 5 years to get to the point of actually getting this blog up and running, I thought I could do a bit of 'back-blogging', that is, stuff I have completed in the past. What better place to start than with knitting.
Jairah is wearing a version of 'Pebble Vest'. I found the pattern via Ravelry, my version can be found here. I have made numerous versions of it over the last couple of years, although this is my favourite so far.....
Tenneille is wearing a vest made from a free pattern sheet titled 'Crazy Print Vest'. I got the pattern sheet from Spotlight. You can find the pattern here. I couldn't get the yarn the pattern called for, so substituted it for another. Here is a link to my version.


One of the most common operators that you'll encounter
is the simple assignment operator "=
".
You saw this operator in the Bicycle class; it assigns the
value on its right to the operand on its left:
int cadence = 0; int speed = 0; int gear = 1;
This operator can also be used on objects to assign object references, as discussed in Creating Objects.
The Arithmetic Operators
The Java programming language provides operators that perform
addition, subtraction, multiplication, and division.
There's a good chance you'll recognize them by their counterparts
in basic mathematics.
The only symbol that might look new to you is "%
", which divides one operand by another and returns
the remainder as its result.
+ additive operator (also used for String concatenation) - subtraction operator * multiplication operator / division operator % remainder operator
ArithmeticDemo
,
tests the arithmetic operators.
class ArithmeticDemo { public static void main (String[] args){ int result = 1 + 2; // result is now 3 System.out.println(result); result = result - 1; // result is now 2 System.out.println(result); result = result * 2; // result is now 4 System.out.println(result); result = result / 2; // result is now 2 System.out.println(result); result = result + 8; // result is now 10 result = result % 7; // result is now 3 System.out.println(result); } }
x+=1;
and x=x+1;
both increment the value
of x
by 1.
The +
operator can also be used for concatenating (joining)
two strings together, as shown in the following
ConcatDemo
program:
class ConcatDemo { public static void main(String[] args){ String firstString = "This is"; String secondString = " a concatenated string."; String thirdString = firstString+secondString; System.out.println(thirdString); } }
thirdString
contains "This is a concatenated string.", which gets printed to standard output.
The Unary Operators
The unary operators require only one operand; they perform various operations such as incrementing/decrementing a value by one, negating an expression, or inverting the value of a boolean.
+ Unary plus operator; indicates positive value (numbers are positive without this, however) - Unary minus operator; negates an expression ++ Increment operator; increments a value by 1 -- Decrement operator; decrements a value by 1 ! Logical complement operator; inverts the value of a boolean
The following program,
UnaryDemo
, tests the unary operators:
class UnaryDemo { public static void main(String[] args){ int result = +1; // result is now 1 System.out.println(result); result--; // result is now 0 System.out.println(result); result++; // result is now 1 System.out.println(result); result = -result; // result is now -1 System.out.println(result); boolean success = false; System.out.println(success); // false System.out.println(!success); // true } }
result++;
and ++result;
will both
end in result
being incremented by one. The only difference is that
the prefix version (++result
) evaluates to the incremented value,
whereas the postfix version (result++
)
evaluates to the original value. If you are just
performing a simple increment/decrement, it doesn't really matter which version you choose. But if
you use this operator in part of a larger expression, the one that you choose may make a
significant difference.
The following program,
PrePostDemo
, illustrates the prefix/postfix unary increment operator:
class PrePostDemo { public static void main(String[] args){ int i = 3; i++; System.out.println(i); // "4" ++i; System.out.println(i); // "5" System.out.println(++i); // "6" System.out.println(i++); // "6" System.out.println(i); // "7" } }


Table of Contents
Chapter One The Moose Family of
Chapter Two The Descendants of John Moose Sr.
Joseph Moose Family
Maria
Amon
Sabina
Penina
Rebecca
Martha
Mary
Sarah
Elizabeth Moose Family
Sabina Moore
Dardana Moore
Sarah Moore
Loammi T. Moore
Lorenza D.
Jasper
Lilly Ann Moore
Albert Moore
Virginia Moore
John Moore
George Moose Family
Arsula (Ursula)
Joseph
John J.
George R.
John Moose Jr. Family
Emily J.
Albert
William S.
Louisa
Henry H.
Jacab Moose Family
Emily
Mary Ann
Jacab
Louisa
Melissa J.
Mary Ann Moose Family
Joseph Meads
Sarah Meads
Rupert Meads
Jacob Meads
Henry Harvey Moose Family
Sabina Moose Family
Josephus Nalley
Hulda Jane Nalley
John Wesley Nalley
Sarah
Moose Family
George W Nalley
Levi Nalley
Joseph E. Nalley
Belinda E. Nalley
Martha Moose Family
Irene Pugh
Morgan Pugh
Martha E. Pugh
John V. Pugh
Emily Moose
Summarizing the Birth and Death Information
Other Moose Families in
Chapter Three More Information the Ancestors of John
Moose Sr.
Chapter Four The Earley Family William and Sarah Benson Earley
Arminda Earley
Charlotte Earley
John J. Earley
Sarah Ellen Earley
Chapter Five Martha Ellen Mattie Hall s Family
Thomas and Margaret
Hall
John Milton Hall
Martha Ellen Hall
William
Hall
Mayme
Hall
James
Monroe Hall
Charles
Sylvester Hall
Thomas
Hall
Frank
W. Hall
Frank
V.
Elizabeth
Jane Hall
William
Judkins
Martha
Judkins
Carl
Judkins
William Hall
Mary Hall
Arthur Hall
Joseph Hall
Chapter Six The Ullom Family
Introduction
(George Stephen Ullom)
Isaac Ullom
Jacob Illom
Elijah Ullom
William W. Ullom
Peter Ullom
Daniel
Thomas Ullom
Rachel Bowen Ullom
John Ullom
Mary Ann Ullom
Sarah Ullom
Jesse Bowen Ullom
Stephen Ullom
Chapter Seven The Mitchell Family
Thomas Mitchell I
Thomas Mitchell II
Kent Mitchell
Thomas Mitchell III
Martha Mitchell
Elizabeth Mitchell
Mary Mitchell
James Mitchell
Chapter Eight Other Related Families
Chapter Nine Additional Information on the John
Milton Hall Family
Chapter Ten Descendants of Clifford and Martha Hall
Moose
Lela Marie Moose
Ella Moose
Elva I.
Moose
Jennie Moose
William Moose
Glen Moose
Helen Mayme Moose
Muta Virginia Moose


Get rid of all your cards before your opponent does.
You get rid of cards by forming a "set" or a "run".
A set is 3 or more cards that are the same rank.
Example: (6 of spades, 6 of hearts, and 6 of diamonds)
A run is 3 or more cards of the same suit that are ordered with no gaps.
Example: (9 of hearts, 10 of hearts, Jack of hearts)
When you have a set or run in your hand it will be taken from your hand and laid down on the table automatically.
Either player can then add to the sets or runs which have already been laid down.
Once a player has laid down all of their cards, the other player's cards are scored.
Hands are continued to be dealt until one of the players reaches 100 points, at which point they lose the game.


Download the app now to get started!
Check out what you can do with this app!
Capture and share your geolocations
View API Reference and samples
Develope amazing point visualizations
All code is in GitHub
Download, copy re-use all data. Event for a comercial use!


Draw
Animation Controls
WASD - Move
EQ - Elevation
Arrow keys - Rotate
Rays shot:
Move
Threads
Sampling
Light Loss
Recursion Depth


Alarm Management
Back
Select Alarm Type
All Alarms
Information Alarms
Equipment Alarms
Operational Alarms
Security Alarms
Select Action
No Action
Check All Alarms
Uncheck All Alarms
Delete Checked Alarms


@Path("") interface APIServer
Top level interface to external interaction with the distributed ledger.
Wherever a list is returned by a fetchXXX method that corresponds with an input list, that output list will have optional elements where a null indicates "missing" and the elements returned will be in the order corresponding with the input list.
| info |
abstract fun info(): NodeInfo
Report this node's configuration and identities. |
| serverTime |
abstract fun serverTime(): LocalDateTime
Report current UTC time as understood by the platform. |
| status |
abstract fun status(): Response
Report whether this node is started up or not. |
| APIServerImpl |
class APIServerImpl : APIServer |


{% extends "includes/layout.html" %} {% from "includes/forms.html" import renderfield %} {% from "includes/comments.html" import commenttree %} {% block title %}{# FIXME: Add a reasonable title #}{% endblock %} {% block heading %}{# Inhibit display of page-level title #}{% endblock %} {% block content -%}


== Motivation Modeling ==
The possible motivation of threat agents/communities should be noted for further analysis. Motivations of attackers are constantly changing, as can be seen by the increase in hacktivism branded attacks by groups such as Anonymous and Antisec. There will be subtle differences in unique motivations based on each organization and/or vertical market, some common motivations include :
* Profit (direct or indirect)
* Hacktivism
* Direct grudge
* Fun / Reputation
* Further access to partner/connected systems


Quota Demo with Service Mgmt
Fill in the form below and submit
GCP Project :
Quota Config Name :
Quota Units per min :
Oauth Token :
Note : This token is used to create service config. It assumed to obtained from login context but login is out of scope for this demo
What happens when you fill in details and submit
The backend app running on my workstation which makes below grpc calls to
Service Management (Inception)
.
Validate if service by same name already exists by calling to
Method: services.configs.get
Create Service
Method: services.create
Create Service Config
Method: services.configs.create
Note : service is wrapper and created once, any changes to required are done by creating new service-config and rolling out new service-config.
Rollout Service-config
Method: services.rollouts.create
Error Cases
1. If token is not valid and does not have necessary permissions to create service/config/rollout 2. 400 - if service already exists 3. any other error


File
New
Open
Save
Import
Export
Edit
Cut
Copy
Paste
Board Size
Display Zoom
Help
Help
About
Perfboard Planner
Go to project page on Github
A
very
simple web-based perfboard planner.
Close
Help and Usage
Double-click a component to open its configuration.
Keyboard Shortcuts:
R
rotate selected component
DEL
delete selected components
CTRL+X
cut selected components
CTRL+C
copy selected components
CTRL+V
paste previously copied components
Close
Export Data
Save the text below to import later:
Close
Import Data
Paste below a previously exported text:
Cancel
Import
New Board
Size:
x
Cancel
OK
Board Size
Size:
x
Cancel
OK
Display Zoom
Zoom:
Cancel
OK
Resistor
Value:
Ω
Rotation:
degrees
Cancel
OK
Integrated Circuit
Num Pins:
Name:
Rotation:
degrees
Cancel
OK
Header
Length:
Width:
Rotation:
degrees
Cancel
OK
Electrolytic Capacitor
Value:
F
Rotation:
degrees
Cancel
OK
LED
Size:
Small
Large
Color:
Red
Green
Blue
Yellow
White
Rotation:
degrees
Cancel
OK
Custom Component
Size:
x
Name:
Color:
Red
Yellow
Green
Cyan
Blue
Purple
White
Grey
Black
Rotation:
degrees
Cancel
OK


Template Documentation
- Rahisi Themes
- FEB 2015
Using the UI Kit
This theme's uikit was designed to be both reusable and portable. In the root of this theme is a folder named uikit. This directory contains all of the required stylesheets and scripts that make up the kit. The latest bootstrap release is also contained in the uikit directory.
The kit contains instructions on setup and usage. You can explore the uikit here
Using Bootrap
Please refer to the official bootstrap documentation on getbootstrap.com
Image Credits
The images used in this theme are licenced for free use and were sourced from the following websites.
- http://www.flickr.com/photos/dmsumon/sets/
- http://www.flickr.com/photos/anothervision21/
- http://www.flickr.com/photos/danrocha/
- www.flickr.com/photos/yuri_samoilov/
- http://www.flickr.com/photos/ivanmcclellan/
- http://www.flickr.com/photos/72213316@N00/
- www.pixabay.com/
The mockup screens were generated using free templates from http://www.pixeden.com/free-graphics
Script and Other credits
The following icon sets and jquery plugins were used and are licensed for commercial use
- Font icons from FontAwesome
- Image box plugin by PrettyPhoto
- jQuery by The jQuery Foundation
- Bootsrap 3 by Twitter Team
- BxSlider from bxslider.com
- Portfolio plugin by Quicksand
Asset Help and Documentation
Visit their respective host sites for more documentation.


This is the first paragraph where we are going to learn about web development
Username :
Email-Id:
Gender: Male Female
Choose Food: Ice-cream Sandwich Pizza Burger


Accept Terms and Conditions before proceeding with Test
Disclaimers have a long legal history. They generally have two purposes: To warn To limit liability A warning sign is likely
the earliest and easiest manifestation of a disclaimer. “No trespassing” alerts passing individuals
that they are near a private land boundary and also excuses the landowner of some liability if people
visit uninvited. Sometimes, the warning and limitation of liability are based on statutory law. For
example, the state of Washington in the United States has a law that prevents people injured at equestrian
facilities from pursuing legal damages. Any business that boards, trains or allows the riding of
horses has to have a specific sign to enjoy this protection from liability. This sign acts as a disclaimer
much like a “No trespassing” sign in that it informs and specifies limits on facility responsibilities:
To warn To limit liability A warning sign is likely the earliest and easiest manifestation of a disclaimer.
“No trefdgdf Any business that boards, trains or allows the riding of horses has to have a specific
sign to enjoy this protection from liability. This sign acts as a disclaimer much like a “No trespassing”
sign in that it informs and specifies limits on facility responsibilities: To warn To limit liability
A warning sign is likely the earliest and easiest manifestation of a disclaimer.
This sign acts as a disclaimer much like a “No trespassing” sign in that it informs and specifies
limits on facility responsibilities: To warn To limit liability A warning sign is likely the earliest
and easiest manifestation of a disclaimer.
W3Schools is optimized for learning, testing, and training. Examples might be simplified to improve
reading and basic understanding. Tutorials, references, and examples are constantly reviewed to avoid
errors, but we cannot warrant full correctness of all content. While using this site, you agree to
have read and accepted our terms of use, cookie and privacy policy. Copyright 1999-2018 by Refsnes
Data. All Rights Reserved.


---
layout: archive
author_profile: true
---
{% include base_path %}
{{ site.data.ui-text[site.locale].recent_posts1 | default: "Recent Posts Made for testing!!!! Let's see how it works now" }}
{{ site.data.ui-text[site.locale].recent_posts | default: "Recent Posts Made for testing!!!! Let's see how it works now" }}
{{ site.data.ui-text[site.locale].recent_posts3 | default: "Recent Posts Made for testing!!!! Let's see how it works now" }}
{% for post in paginator.posts %}
{% include archive-single.html %}
{% endfor %}
{% include paginator.html %}


Static class that acts as a global registry for codecs. See mxCodec for an example of using this class.
More...
|
| static mxObjectCodec | Register (mxObjectCodec codec) |
| | Registers a new codec and associates the name of the template constructor in the codec with the codec object. Automatically creates an alias if the codename and the classname are not equal. More...
|
| |
| static void | AddAlias (string classname, string codecname) |
| | Adds an alias for mapping a classname to a codecname. More...
|
| |
| static mxObjectCodec | GetCodec (String name) |
| | Returns a codec that handles the given object, which can be an object instance or an XML node. More...
|
| |
| static void | AddNamespace (String ns) |
| | Adds the given namespace to the list of known namespaces. More...
|
| |
| static Object | GetInstanceForName (String name) |
| | Creates and returns a new instance for the given class name. More...
|
| |
| static Type | GetTypeForName (String name) |
| | Returns a class that corresponds to the given name. More...
|
| |
| static String | GetName (Object instance) |
| | Returns the name that identifies the codec associated with the given instance. The I/O system uses unqualified classnames, eg. for a com.mxgraph.model.mxCell this returns mxCell. More...
|
| |
|
| static Dictionary< string, mxObjectCodec > | codecs = new Dictionary<string, mxObjectCodec>() |
| | Maps from constructor names to codecs. More...
|
| |
| static Dictionary< string, string > | aliases = new Dictionary<string, string>() |
| | Maps from classnames to codecnames. More...
|
| |
| static List< string > | namespaces = new List<string>() |
| | Holds the list of known namespaces. Packages are used to prefix short class names (eg. mxCell) in XML markup. More...
|
| |
Static class that acts as a global registry for codecs. See mxCodec for an example of using this class.
◆ AddAlias()
| static void com.mxgraph.mxCodecRegistry.AddAlias |
( |
string |
classname, |
|
|
string |
codecname |
|
) |
| |
|
inlinestatic |
Adds an alias for mapping a classname to a codecname.
◆ AddNamespace()
| static void com.mxgraph.mxCodecRegistry.AddNamespace |
( |
String |
ns | ) |
|
|
inlinestatic |
Adds the given namespace to the list of known namespaces.
- Parameters
-
| ns | Name of the namespace to be added. |
◆ GetCodec()
| static mxObjectCodec com.mxgraph.mxCodecRegistry.GetCodec |
( |
String |
name | ) |
|
|
inlinestatic |
◆ GetInstanceForName()
| static Object com.mxgraph.mxCodecRegistry.GetInstanceForName |
( |
String |
name | ) |
|
|
inlinestatic |
Creates and returns a new instance for the given class name.
- Parameters
-
| name | Name of the class to be instantiated. |
- Returns
- Returns a new instance of the given class.
◆ GetName()
| static String com.mxgraph.mxCodecRegistry.GetName |
( |
Object |
instance | ) |
|
|
inlinestatic |
Returns the name that identifies the codec associated with the given instance. The I/O system uses unqualified classnames, eg. for a com.mxgraph.model.mxCell this returns mxCell.
- Parameters
-
| instance | Instance whose node name should be returned. |
- Returns
- Returns a string that identifies the codec.
Referenced by com.mxgraph.mxCodec.Encode(), and com.mxgraph.mxObjectCodec.GetName().
◆ GetTypeForName()
| static Type com.mxgraph.mxCodecRegistry.GetTypeForName |
( |
String |
name | ) |
|
|
inlinestatic |
◆ Register()
◆ aliases
| Dictionary<string, string> com.mxgraph.mxCodecRegistry.aliases = new Dictionary<string, string>() |
|
staticprotected |
Maps from classnames to codecnames.
◆ codecs
Maps from constructor names to codecs.
◆ namespaces
| List<string> com.mxgraph.mxCodecRegistry.namespaces = new List<string>() |
|
staticprotected |
Holds the list of known namespaces. Packages are used to prefix short class names (eg. mxCell) in XML markup.
The documentation for this class was generated from the following file:
- src/io/mxCodecRegistry.cs


RayOnSpark
Introduction
Ray is a distributed framework for emerging AI applications open-sourced by UC Berkeley RISELab. It implements a unified interface, distributed scheduler, and distributed and fault-tolerant store to address the new and demanding systems requirements for advanced AI technologies.
Ray allows users to easily and efficiently to run many emerging AI applications, such as deep reinforcement learning using RLlib, scalable hyperparameter search using Ray Tune, automatic program synthesis using AutoPandas, etc.
Analytics Zoo provides a mechanism to deploy Python dependencies and Ray services automatically
across yarn cluster, meaning python users would be able to run analytics-zoo
or ray
in a pythonic way on yarn without spark-submit
or installing analytics-zoo or ray across all cluster nodes.
Steps to run RayOnSpark
NOTE: We have been tested on Ray 0.8.4 and you are highly recommended to use this Ray version.
1) Install Conda in your environment.
2) Create a new conda environment (with name "zoo" for example):
conda create -n zoo python=3.6
source activate zoo
3) Install analytics-zoo in the created conda environment:
pip install analytics-zoo[ray]
Note that the essential dependencies (including ray==0.8.4
, psutil
, aiohttp
, setproctitle
, pyarrow==0.17.0
) will be installed by specifying the extras key [ray]
when you pip install analytics-zoo.
4) Download JDK8 and set the environment variable: JAVA_HOME (recommended).
You can also install JDK via conda without setting the JAVA_HOME manually:
conda install -c anaconda openjdk=8.0.152
5) Start python
and then execute the following example.
- Create a SparkContext on yarn, only yarn-client mode is supported for now:
from zoo import init_spark_on_yarn
sc = init_spark_on_yarn(
hadoop_conf="path to the yarn configuration folder",
conda_name="zoo", # The name of the created conda-env
num_executor=2,
executor_cores=4,
executor_memory="8g",
driver_memory="2g",
driver_cores=4,
extra_executor_memory_for_ray="10g")
- [Optional] If you don't have a yarn cluster, this can also be tested locally by creating a SparkContext
with
init_spark_on_local
:
from zoo import init_spark_on_local
sc = init_spark_on_local(cores=4)
-
Once the SparkContext is created, we can write more logic here such as training an Analytics Zoo model or launching ray on Spark.
-
Run the following simple example to launch a ray cluster on top of the SparkContext configurations and verify if RayOnSpark can work smoothly.
import ray
from zoo.ray import RayContext
ray_ctx = RayContext(sc=sc, object_store_memory="5g")
ray_ctx.init()
@ray.remote
class Counter(object):
def __init__(self):
self.n = 0
def increment(self):
self.n += 1
return self.n
counters = [Counter.remote() for i in range(5)]
print(ray.get([c.increment.remote() for c in counters]))
ray_ctx.stop()
sc.stop()
FAQ
- If you encounter the following error when initiating RayOnSpark, especially when you are using Spark standalone cluster:
This system supports the C.UTF-8 locale which is recommended. You might be able to resolve your issue by exporting the following environment variables:
export LC_ALL=C.UTF-8
export LANG=C.UTF-8
Add the environment variables when initiating RayContext would resolve the issue:
ray_ctx = RayContext(sc=sc, object_store_memory="5g", env={"LANG": "C.UTF-8", "LC_ALL": "C.UTF-8"})


I am Mikael and is about to finish my Master of Science in Engineering at the Royal Institue of technology (KTH) in Stockholm within the field of Media Technology.
My master had a focus on Interactive Media Technology, Visualization, Computer Graphics but also some HCI and User Experience.
During my years at KTH I have completed a several different projects where I've learnt a lot within Agile Development, Interaction design and how to combine the latest techniques in order to create cool interactions!
As I am about to graduate from KTH in June 2017 - I am now looking for an interesting job opporuinity where I can continue developing and create awesome things! Therefore, don't hesitate to contact me if you are interested in knowing more about me!


Seeding some Knowledge...
You have
Reputation
and
Power
I did a great job!
(later some popular vote will decide that for you...)
Check Power
Send Proposal
Proposal:
Tags:
IPFS-Hash:
Propose it!
Submitted Proposal
Submitted Tags
Submitted Hash
Status
Refresh
Vote On Proposals
Get Data to Vote about


05 Aug 2017
The Apache Flink community released the second bugfix version of the Apache Flink 1.3 series.
This release includes more than 60 fixes and minor improvements for Flink 1.3.1. The list below includes a detailed list of all fixes.
We highly recommend all users to upgrade to Flink 1.3.2.
A user reported a bug in the FlinkKafkaConsumer (FLINK-7143) that is causing incorrect partition assignment in large Kafka deployments in the presence of inconsistent broker metadata. In that case multiple parallel instances of the FlinkKafkaConsumer may read from the same topic partition, leading to data duplication. In Flink 1.3.2 this bug is fixed but incorrect assignments from Flink 1.3.0 and 1.3.1 cannot be automatically fixed by upgrading to Flink 1.3.2 via a savepoint because the upgraded version would resume the wrong partition assignment from the savepoint. If you believe you are affected by this bug (seeing messages from some partitions duplicated) please refer to the JIRA issue for an upgrade path that works around that.
Before attempting the more elaborate upgrade path, we would suggest to check if you are actually affected by this bug. We did not manage to reproduce it in various testing clusters and according to the reporting user, it only appeared in rare cases on their very large setup. This leads us to believe that most likely only a minority of setups would be affected by this bug.
Notable changes:
- The default Kafka version for Flink Kafka Consumer 0.10 was bumped from <IP_ADDRESS> to <IP_ADDRESS>.
- Some default values for configurations of AWS API call behaviors in the Flink Kinesis Consumer
were adapted for better default consumption performance: 1)
SHARD_GETRECORDS_MAX
default changed to 10,000, and 2)SHARD_GETRECORDS_INTERVAL_MILLIS
default changed to 200ms.
Updated Maven dependencies:
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-java</artifactId>
<version>1.3.2</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-streaming-java_2.10</artifactId>
<version>1.3.2</version>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-clients_2.10</artifactId>
<version>1.3.2</version>
</dependency>
You can find the binaries on the updated Downloads page.
List of resolved issues:
Sub-task
- [FLINK-6665] - Pass a ScheduledExecutorService to the RestartStrategy
- [FLINK-6667] - Pass a callback type to the RestartStrategy, rather than the full ExecutionGraph
- [FLINK-6680] - App & Flink migration guide: updates for the 1.3 release
Bug
- [FLINK-5488] - yarnClient should be closed in AbstractYarnClusterDescriptor for error conditions
- [FLINK-6376] - when deploy flink cluster on the yarn, it is lack of hdfs delegation token.
- [FLINK-6541] - Jar upload directory not created
- [FLINK-6654] - missing maven dependency on "flink-shaded-hadoop2-uber" in flink-dist
- [FLINK-6655] - Misleading error message when HistoryServer path is empty
- [FLINK-6742] - Improve error message when savepoint migration fails due to task removal
- [FLINK-6774] - build-helper-maven-plugin version not set
- [FLINK-6806] - rocksdb is not listed as state backend in doc
- [FLINK-6843] - ClientConnectionTest fails on travis
- [FLINK-6867] - Elasticsearch 1.x ITCase still instable due to embedded node instability
- [FLINK-6918] - Failing tests: ChainLengthDecreaseTest and ChainLengthIncreaseTest
- [FLINK-6945] - TaskCancelAsyncProducerConsumerITCase.testCancelAsyncProducerAndConsumer instable test case
- [FLINK-6964] - Fix recovery for incremental checkpoints in StandaloneCompletedCheckpointStore
- [FLINK-6965] - Avro is missing snappy dependency
- [FLINK-6987] - TextInputFormatTest fails when run in path containing spaces
- [FLINK-6996] - FlinkKafkaProducer010 doesn't guarantee at-least-once semantic
- [FLINK-7005] - Optimization steps are missing for nested registered tables
- [FLINK-7011] - Instable Kafka testStartFromKafkaCommitOffsets failures on Travis
- [FLINK-7025] - Using NullByteKeySelector for Unbounded ProcTime NonPartitioned Over
- [FLINK-7034] - GraphiteReporter cannot recover from lost connection
- [FLINK-7038] - Several misused "KeyedDataStream" term in docs and Javadocs
- [FLINK-7041] - Deserialize StateBackend from JobCheckpointingSettings with user classloader
- [FLINK-7132] - Fix BulkIteration parallelism
- [FLINK-7133] - Fix Elasticsearch version interference
- [FLINK-7137] - Flink table API defaults top level fields as nullable and all nested fields within CompositeType as non-nullable
- [FLINK-7143] - Partition assignment for Kafka consumer is not stable
- [FLINK-7154] - Missing call to build CsvTableSource example
- [FLINK-7158] - Wrong test jar dependency in flink-clients
- [FLINK-7177] - DataSetAggregateWithNullValuesRule fails creating null literal for non-nullable type
- [FLINK-7178] - Datadog Metric Reporter Jar is Lacking Dependencies
- [FLINK-7180] - CoGroupStream perform checkpoint failed
- [FLINK-7195] - FlinkKafkaConsumer should not respect fetched partitions to filter restored partition states
- [FLINK-7216] - ExecutionGraph can perform concurrent global restarts to scheduling
- [FLINK-7225] - Cutoff exception message in StateDescriptor
- [FLINK-7226] - REST responses contain invalid content-encoding header
- [FLINK-7231] - SlotSharingGroups are not always released in time for new restarts
- [FLINK-7234] - Fix CombineHint documentation
- [FLINK-7241] - Fix YARN high availability documentation
- [FLINK-7255] - ListStateDescriptor example uses wrong constructor
- [FLINK-7258] - IllegalArgumentException in Netty bootstrap with large memory state segment size
- [FLINK-7266] - Don't attempt to delete parent directory on S3
- [FLINK-7268] - Zookeeper Checkpoint Store interacting with Incremental State Handles can lead to loss of handles
- [FLINK-7281] - Fix various issues in (Maven) release infrastructure
Improvement
- [FLINK-6365] - Adapt default values of the Kinesis connector
- [FLINK-6575] - Disable all tests on Windows that use HDFS
- [FLINK-6682] - Improve error message in case parallelism exceeds maxParallelism
- [FLINK-6789] - Remove duplicated test utility reducer in optimizer
- [FLINK-6874] - Static and transient fields ignored for POJOs
- [FLINK-6898] - Limit size of operator component in metric name
- [FLINK-6937] - Fix link markdown in Production Readiness Checklist doc
- [FLINK-6940] - Clarify the effect of configuring per-job state backend
- [FLINK-6998] - Kafka connector needs to expose metrics for failed/successful offset commits in the Kafka Consumer callback
- [FLINK-7004] - Switch to Travis Trusty image
- [FLINK-7032] - Intellij is constantly changing language level of sub projects back to 1.6
- [FLINK-7069] - Catch exceptions for each reporter separately
- [FLINK-7149] - Add checkpoint ID to 'sendValues()' in GenericWriteAheadSink
- [FLINK-7164] - Extend integration tests for (externalised) checkpoints, checkpoint store
- [FLINK-7174] - Bump dependency of Kafka 0.10.x to the latest one
- [FLINK-7211] - Exclude Gelly javadoc jar from release
- [FLINK-7224] - Incorrect Javadoc description in all Kafka consumer versions
- [FLINK-7228] - Harden HistoryServerStaticFileHandlerTest
- [FLINK-7233] - TaskManagerHeapSizeCalculationJavaBashTest failed on Travis
- [FLINK-7287] - test instability in Kafka010ITCase.testCommitOffsetsToKafka
- [FLINK-7290] - Make release scripts modular


The file ${path} does not exist.
See the troubleshooting page if you're having problems getting your build to work as expected.


I'm first in the source order so I'm shown as the page.
View internal page called bar
I'm first in the source order so I'm shown as the page.
View internal page called bar
I'm first in the source order so I'm shown as the page.
View internal page called go to bar
I'm the second in the source order so I'm hidden when the page loads. I'm just shown if a link that references my id is beeing clicked.
A paragraph with a tooltip. Learn more
This is a completely basic popup, no options set.
This is a completely basic popup, no options set.
Here is a tiny popup being used like a tooltip. The text will wrap to multiple lines as needed.


|
Panda3D
|
TiXmlBase is a base class for every class in TinyXml. More...
Public Types | |
| enum | { TIXML_NO_ERROR = 0, TIXML_ERROR = 1, TIXML_ERROR_OPENING_FILE = 2, TIXML_ERROR_PARSING_ELEMENT = 3, TIXML_ERROR_FAILED_TO_READ_ELEMENT_NAME = 4, TIXML_ERROR_READING_ELEMENT_VALUE = 5, TIXML_ERROR_READING_ATTRIBUTES = 6, TIXML_ERROR_PARSING_EMPTY = 7, TIXML_ERROR_READING_END_TAG = 8, TIXML_ERROR_PARSING_UNKNOWN = 9, TIXML_ERROR_PARSING_COMMENT = 10, TIXML_ERROR_PARSING_DECLARATION = 11, TIXML_ERROR_DOCUMENT_EMPTY = 12, TIXML_ERROR_EMBEDDED_NULL = 13, TIXML_ERROR_PARSING_CDATA = 14, TIXML_ERROR_DOCUMENT_TOP_ONLY = 15, TIXML_ERROR_STRING_COUNT = 16 } |
Public Member Functions | |
| int | Column () |
| Get a pointer to arbitrary user data. More... | |
| GetUserData () | |
| Get a pointer to arbitrary user data. More... | |
| GetUserData () | |
| str | Parse (str p, TiXmlParsingData data, TiXmlEncoding encoding) |
| Print (FILE cfile, int depth) | |
| All TinyXml classes can print themselves to a filestream or the string class (TiXmlString in non-STL mode, std::string in STL mode.) Either or both cfile and str can be null. More... | |
| int | Row () |
| Return the position, in the original source file, of this node or attribute. More... | |
Static Public Member Functions | |
| static bool | IsWhiteSpaceCondensed () |
| Return the current white space setting. More... | |
| static | SetCondenseWhiteSpace (bool condense) |
| The world does not agree on whether white space should be kept or not. More... | |
TiXmlBase is a base class for every class in TinyXml.
It does little except to establish that TinyXml classes can be printed and provide some utility functions.
In XML, the document and elements can contain other elements and other types of nodes.
A Document can contain: Element (container or leaf) Comment (leaf) Unknown (leaf) Declaration( leaf ) An Element can contain: Element (container or leaf) Text (leaf) Attributes (not on tree) Comment (leaf) Unknown (leaf) A Decleration contains: Attributes (not on tree)
| anonymous enum |
| int Column | ( | ) |
Get a pointer to arbitrary user data.
| GetUserData | ( | ) |
Get a pointer to arbitrary user data.
| GetUserData | ( | ) |
|
static |
Return the current white space setting.
| str Parse | ( | str | p, |
| TiXmlParsingData | data, | ||
| TiXmlEncoding | encoding | ||
| ) |
| ( | FILE | cfile, | |
| int | depth | ||
| ) |
All TinyXml classes can print themselves to a filestream or the string class (TiXmlString in non-STL mode, std::string in STL mode.) Either or both cfile and str can be null.
This is a formatted print, and will insert tabs and newlines.
(For an unformatted stream, use the << operator.)
| int Row | ( | ) |
Return the position, in the original source file, of this node or attribute.
The row and column are 1-based. (That is the first row and first column is 1,1). If the returns values are 0 or less, then the parser does not have a row and column value.
Generally, the row and column value will be set when the TiXmlDocument::Load(), TiXmlDocument::LoadFile(), or any TiXmlNode::Parse() is called. It will NOT be set when the DOM was created from operator>>.
The values reflect the initial load. Once the DOM is modified programmatically (by adding or changing nodes and attributes) the new values will NOT update to reflect changes in the document.
There is a minor performance cost to computing the row and column. Computation can be disabled if TiXmlDocument::SetTabSize() is called with 0 as the value.
|
static |
The world does not agree on whether white space should be kept or not.
In order to make everyone happy, these global, static functions are provided to set whether or not TinyXml will condense all white space into a single space or not. The default is to condense. Note changing this value is not thread safe.


EUR/GBP extends losses under 0.8550, eyes November's low
by Matías Salord- The pound remains strong on the back of the latest polls and risk sentiment.
- Euro under pressure with EUR/USD back near 1.1000.
The EUR/GBP dropped further below 0.8550 and reached a fresh one-week low at 0.8530, slightly above the November low at 0.8520. A break below would put the pair at its weakens level since May.
A stronger pound across the board is the key driver today. While GBP/USD trades on top of 1.2900 at daily highs, EUR/USD is consolidating losses, unable to rebound from 1.1000.
Politics driving the pound higher... for now
The improvement in market sentiment and the latest polls ahead of the general election in the United Kingdom offered support to the pound at the beginning of the week. It is higher across the board, erasing Friday’s losses.
Over the weekend, polls show the Conservative Party leading with around 40/44% of the vote intention, while the Labour Party around 30%. Expectations of an important victory for the conservatives would be seen as a probable end to the Brexit drama. In the manifest, UK Prime Minister Johnson's party mentioned they would look for a deal back to the Parliament before Christmas. On the contrary, the euro remained weak following November’s IFO survey. The index bounced but market consensus pointed to a higher number.
From a technical perspective, EUR/GBP holds a bearish tone. A break below 0.8520w would expose 0.8500 and then attention would turn to 0.8470. On the upside, a daily close on top of 0.8595/0.8600 (horizontal resistance and 20-day moving average) would remove the bearish bias signaling further gains ahead.
EUR/GBP
| Overview | |
|---|---|
| Today last price | 0.8532 |
| Today Daily Change | -0.0055 |
| Today Daily Change % | -0.64 |
| Today daily open | 0.8587 |
| Trends | |
|---|---|
| Daily SMA20 | 0.8596 |
| Daily SMA50 | 0.8714 |
| Daily SMA100 | 0.889 |
| Daily SMA200 | 0.88 |
| Levels | |
|---|---|
| Previous Daily High | 0.8606 |
| Previous Daily Low | 0.856 |
| Previous Weekly High | 0.8606 |
| Previous Weekly Low | 0.8522 |
| Previous Monthly High | 0.9022 |
| Previous Monthly Low | 0.8575 |
| Daily Fibonacci 38.2% | 0.8589 |
| Daily Fibonacci 61.8% | 0.8578 |
| Daily Pivot Point S1 | 0.8563 |
| Daily Pivot Point S2 | 0.8539 |
| Daily Pivot Point S3 | 0.8517 |
| Daily Pivot Point R1 | 0.8609 |
| Daily Pivot Point R2 | 0.8631 |
| Daily Pivot Point R3 | 0.8655 |


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| Interface Summary | |
| Constants | The Constants use throughout the core of the Cocoon engine. |
| Modifiable | This interface is implemented by those classes that change their behavior/results over time (non-ergodic). |
| Notificable | Deprecated. Now another interface is used |
| Processor |
| Class Summary | |
| Cocoon | The Cocoon Object is the main Kernel for the entire Cocoon system. |
| Main | Command line entry point. |
| Notification | Deprecated. Now another interface is used |
| Notifier | Deprecated. Now another class is used |
| ProcessorWrapper | This class is a wrapper around the real processor (the Cocoon class).
|
| Exception Summary | |
| ConnectionResetException | This Exception is thrown every time a component detects an exception due to a connection reset by peer. |
| ProcessingException | This Exception is thrown every time there is a problem in processing a request. |
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Everything I want to say.
“Any schoolboy can do experiments in the physics laboratory to test various scientific hypotheses. But man, because he has only one life to live, cannot conduct experiments to test whether to follow his passion (compassion) or not.” - The Unbearable Lightness of Being
The schoolboy is able to test multiple decisions, see all their different outcomes, and come to the logical conclusion that one decision is the optimal decision. That’s what an experiment is. But because we are only given one chance to live our life, we are only given one chance to make each decision. And so we can never know if the decisions that we make are optimal. Did I choose the right partner? The right job? We make a best guess, grit our teeth, and charge ahead.
But, if we were allowed to repeat each day, and month, and year, and decade, of our lives as many times as we want, with full memory of each repetition, do you think that we would pick the best choice? Given infinitely repeatable choices, will we make the optimal decision?
Motivation is a curious thing. Ask any school teacher who has to motivate hundreds of students every day. The difficulty is that we are primed to be infinitely more concerned with the short-term than with the long-term. And this is reflected in our actions. The high schooler knows, theoretically, that if he studies hard and does well in class, he will be accepted to a good college and he will get a good job and he will have a good life. That’s the long-term goal. But instead, the majority of the decisions made are based on ‘how, in the next five seconds, can I make myself as cool as possible to my peers?’ Short-term satisfaction beats out long-term.
So back to the question. Given infinitely repeatable choices, will we make the long-run optimal decision on that final iteration? My suspicion is no. My suspicion is that when it comes down to decision time, the monkey-brain in us takes over and satisfies the short-term.
Maybe eternal return doesn’t work on us.
030217 22:03


{% extends "admin/subview/list.html" %}
{% import 'admin/subview/row_actions.html' as row_actions with context %}
{% import 'items_actions.html' as items_actionlib with context %}
{% import "item_row_actions.html" as item_actions with context %}
{% block actions %}
{{ items_actionlib.form(actions, get_url('.action_view')) }}
{% endblock %}


Call the WLM_CAPTURE_ACTIVITY_IN_PROGRESS stored procedure using the application handle, unit of work ID, and activity ID obtained from the previous step.
This step sends information about the activity to the active event monitor for activities. Note that in your case, the application handle, unit of work ID, and activity ID need to be specified for this to work properly.


UserAgent with touch events will use the "touchstart" event, others will use the tranditional "click" event.


It still gets 33% percents right
Blocks
Still Rules - but this time learned from data
Averaging over many decision trees
Simple, but fractal
Simple in a higher dimension
Composed of many simple neurons


{% extends 'index.html' %} {% block css %} {% endblock css %} {% block site %}
Python, JavaScript, Java, SQL, HTML5, CSS3
PL/SQL, MySQL, MongoDB, Redis, RabbitMQ, Jenkins
Django, Spring, Hibernate, AngularJS, Foundation, Node.js
Git, VI, Eclipse, Shell, Visual Studio, Photoshop, WebKit
Worked cross-functionally to design, implement and optimize our website. Coupled with developing features and maintaining platform and widgets functionalities.
Technologies: Python, Django, HTML5/CSS3, JavaScript, JQuery, Git, MongoDB, MySQL, RabbitMQ, Redis, Jenkins.
Redesign of the timetable information system for the SNCF Transilien (RER).
Technologies: Java, Flex/ActionScript/MXML, Oracle, Hibernate, Spring.
Study of the GWT framework for the migration of an existing Lotus Notes internal application (Software development requests).
Technologies: Java, GWT, Spring, Hibernate, Oracle, Active Directory, LDAP.
Polytechnic School of Nantes University (Polytech Nantes) - Nantes, France
Linnæus University, Växjö, Sweden (9th semester)
Higher institute of Computer Sciences of Nantes University, Nantes, France
Mother Tongue
Fluent - TOEIC score (2009): 970/990


{% extends 'base.html' %}
{% block title %}All CodeCatz Projects{% endblock %}
{% block content %}
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Who is working on what...
Description:
{{ project.project_description }}
Status: {{ project.get_status_display }}
Project launch: {{ project.date_created|date:"m. Y" }}
{% if project.project_deadline %}Project deadline: {{ project.project_deadline|date:"d.m.Y" }}
{% endif %}There are currently no projects in the projects list.


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Working on numerical problems daily, I have always dreamt of a language that provides an elegant interface while allowing me to write codes that run blazingly fast on large data sets. Julia is a language that turns this dream into a reality. With Julia, you can focus on your problem, keep your codes clean, and more importantly, write fast codes without diving into lower level languages such as C or Fortran even when performance is critical.
However, you should not take this potential speed for granted. To get your codes fast, you should keep performance in mind and follow general best practice guidelines. Here, I would like to share with you my experience in writing efficient codes for numerical computation.
As in any language, the foremost goal when you implement your algorithm is to make it correct. An algorithm that doesn't work correctly is useless no matter how fast it runs. One can always optimize the codes afterwards when necessary. When there are different approaches to a problem, you should choose the one that is asymptotically more efficient. For example, an unoptimized quick-sort implementation can easily beat a carefully optimized bubble-sort when sorting even moderately large arrays. Given a particular choice of algorithm, however, implementing it carefully and observing common performance guidelines can still make a big difference in performance – I will focus on this in the remaining part.
Users of other high level languages such as MATLAB® or Python are often advised to vectorize their codes as much as possible to get performance, because loops are slow in those languages. In Julia, on the other hand, loops can run as fast as those written in C and you no longer have to count on vectorization for speed. Actually, turning vectorized expressions into loops, which we call devectorization, often results in even higher performance.
Consider the following:
r = exp(-abs(x-y))
Very simple expression, right? Behind the scenes, however, it takes a lot of steps and temporary arrays to get you the results of this expression. The following sequence of temporary array constructions is what is done to compute the above expression:
n = length(x)
tmp1 = Array(Float64, n)
for i = 1:n
tmp1[i] = x[i]-y[i]
end
tmp2 = Array(Float64, n)
for i = 1:n
tmp2[i] = abs(tmp1[i])
end
tmp3 = Array(Float64, n)
for i = 1:n
tmp3[i] = -tmp2[i]
end
r = Array(Float64, n)
for i = 1:n
r[i] = exp(tmp3[i])
end
We can see that this procedure creates three temporary arrays and it takes four passes to complete the computation. This introduces significant overhead:
It takes time to allocate memory for the temporary arrays;
It takes time to reclaim the memory of these arrays during garbage collection;
It takes time to traverse the memory – generally, fewer passes means higher efficiency.
Such overhead is significant in practice, often leading to 2x to 3x slow down. To get optimal performance, one should devectorize this code like so:
r = similar(x)
for i = 1:length(x)
r[i] = exp(-abs(x[i]-y[i]))
end
This version finishes the computation in one pass, without introducing any temporary arrays. Moreover, if r
is pre-allocated, one can even omit the statment that creates r
. The Devectorize.jl package provides a macro @devec
that can automatically translate vectorized expressions into loops:
using Devectorize
@devec r = exp(-abs(x-y))
The comprehension syntax also provides a concise syntax for devectorized computation:
r = [exp(-abs(x[i]-y[i])) for i = 1:length(x)]
Note that comprehension always creates new arrays to store the results. Hence, to write results to pre-allocated arrays, you still have to devectorize the computation manually or use the @devec
macro.
Traversing arrays, especially large ones, may incur cache misses or even page faults, both of which can cause significant latency. Thus, it is desirable to minimize the number of round trips to memory as much as possible. For example, you may compute multiple maps with one loop:
for i = 1:length(x)
a[i] = x[i] + y[i]
b[i] = x[i] - y[i]
end
This is usually faster than writing a = x + y; b = x - y
.
The following example shows how you can compute multiple statistics (e.g. sum, max, and min) over a dataset efficiently.
n = length(x)
rsum = rmax = rmin = x[1]
for i = 2:n
xi = x[i]
rsum += xi
if xi > rmax
rmax = xi
elseif xi < rmin
rmin = xi
end
end
Modern computer systems have a complicated heterogeneous memory structure that combines registers, multiple levels of caches, and RAM. Data are accessed through the cache hierarchy – a smaller and much faster memory that stores copies of frequently used data.
Most systems do not provide ways to directly control the cache system. However, you can take steps to make it much easier for the automated cache management system to help you if you write cache-friendly codes. In general, you don't have to understand every detail about how a cache system works. It is often sufficient to observe the simple rule below:
Access data in a pattern similar to how the data resides in memory – don't jump around between non-contiguous locations in memory.
This is sometimes referred to as the principle of locality. For example, if x
is a contiguous array, then after reading x[i]
, it is much more likely that x[i+1]
is already in the cache than it is that x[i+1000000]
is, in which case it will be much faster to access x[i+1]
than x[i+1000000]
.
Julia arrays are stored in column-major order, which means that the rows of a column are contiguous, but the columns of a row are generally not. It is therefore generally more efficient to access data column-by-column than row-by-row. Consider the problem of computing the sum of each row in a matrix. It is natural to implement this as follows:
m, n = size(a)
r = Array(Float64, m)
for i = 1:m
s = 0.
for j = 1:n
s += a[i,j]
end
r[i] = s
end
The loop here accesses the elements row-by-row, as a[i,1], a[i,2], ..., a[i,n]
. The interval between these elements is m
. Intuitively, it jumps at the stride of length m
from the begining of each row to the end in each inner loop, and then jumps back to the begining of next row. This is not very efficient, especially when m
is large.
This procedure can be made much more cache-friendly by changing the order of computation:
for i = 1:m
r[i] = a[i,1]
end
for j = 2:n, i = 1:m
r[i] += a[i,j]
end
Some benchmarking shows that this version can be 5-10 times faster than the one above for large matrices.
Creating arrays requires memory allocation and adds to the workload of the garbage collector. Reusing the same array is a good way to reduce the cost of memory management.
It is not uncommon that you want to update arrays in an iterative algorithm. For example, in K-means, you may want to update both the cluster means and distances in each iteration. A straightforward way to do this might look like:
while !converged && t < maxiter
means = compute_means(x, labels)
dists = compute_distances(x, means)
labels = assign_labels(dists)
...
end
In this implementation of K-means, the arrays means
, dists
, and labels
are recreated at each iteration. This reallocation of memory on each step is unnecessary. The sizes of these arrays are fixed, and their storage can be reused across iterations. The following alternative code is a more efficient way to implement the same algorithm:
d, n = size(x)
# pre-allocate storage
means = Array(Float64, d, K)
dists = Array(Float64, K, n)
labels = Array(Int, n)
while !converged && t < maxiter
update_means!(means, x, labels)
update_distances!(dists, x, means)
update_labels!(labels, dists)
...
end
In this version, the functions invoked in the loop updates pre-allocated arrays in-place.
If you are writing a package, it is recommended that you provide two versions for each function that outputs arrays: one that performs the update in-place, and another that returns a new array. The former can usually be implemented as a light-weight wrapper of the latter that copies the input array before modifying it. A good example is the Distributions.jl package, which provides both logpdf
and logpdf!
, so that one can write lp = logpdf(d,x)
when a new array is needed, or logpdf!(lp,d,x)
when lp
has been pre-allocated.
Julia wraps a large number of BLAS routines for linear algebraic computation. These routines are the result of decades of research and optimization by many of the world's top experts in fast numerical computation. As a result, using them where possible can provide performance boosts that seem almost magical – BLAS routines are often orders of magnitude faster than the simple loop implementations they replace.
For example, consider accumulating weighted versions of vectors as follows:
r = zeros(size(x,1))
for j = 1:size(x,2)
r += x[:,j] * w[j]
end
You can replace the statement r += x[:,j] * w[j]
with a call to the BLAS axpy!
function to get better performance:
for j = 1:size(x,2)
axpy!(w[j], x[:,j], r)
end
This, however, is still far from being optimal. If you are familiar with linear algebra, you may have probably found that this is just matrix-vector multiplication, and can be written as r = x * w
, which is not only shorter, simpler and clearer than either of the above loops – it also runs much faster than either versions.
Our next example is a subtler application of BLAS routines to computing pairwise Euclidean distances between columns in two matrices. Below is a straightforward implementation that directly computes pairwise distances:
m, n = size(a)
r = Array(Float64, m, n)
for j = 1:n, i = 1:m
r[i,j] = sqrt(sum(abs2(a[:,i] - b[:,j])))
end
This is clearly suboptimal – a lot of temporary arrays are created in evaluating the expression in the inner loop. To speed this up, we can devectorize the inner expression:
d, m = size(a)
n = size(b,2)
r = Array(Float64, m, n)
for j = 1:n, i = 1:m
s = 0.
for k = 1:d
s += abs2(a[k,i] - b[k,j])
end
r[i,j] = sqrt(s)
end
end
This version is much more performant than the vectorized form. But is it the best we can do? By employing an alternative strategy, we can write a even faster algorithm for computing pairwise distances. The trick is that the squared Euclidean distance between two vectors can be expanded as:
sum(abs2(x-y)) == sum(abs2(x)) + sum(abs2(y)) - 2*dot(x,y)
If we evaluate these three terms separately, the computation can be mapped to BLAS routines perfectly. Below, we have a new implementation of pairwise distances written using only BLAS routines, including the norm calls that are wrapped by the NumericExtensions.jl package:
using NumericExtensions # for sqsum
using Base.LinAlg.BLAS # for gemm!
m, n = size(a)
sa = sqsum(a, 1) # sum(abs2(x)) for each column in a
sb = sqsum(b, 1) # sum(abs2(y)) for each column in b
r = sa .+ reshape(sb, 1, n) # first two terms
gemm!('T', 'N', -2.0, a, b, 1.0, r) # add (-2.0) * a' * b to r
for i = 1:length(r)
r[i] = sqrt(r[i])
end
This version is over 100 times faster than our original implementation — the gemm
function in BLAS has been optimized to the extreme by many talented developers and engineers over the past few decades.
We should mention that you don't have to implement this yourself if you really want to compute pairwise distances: the Distance.jl package provides optimized implementations of a broad variety of distance metrics, including this one. We presented this optimization trick as an example to illustrate the substantial performance gains that can be achieved by writing code that uses BLAS routines wherever possible.
Julia has a very active open source ecosystem. A variety of packages have been developed that provide optimized algorithms for high performance computation. Look for a package that does what you need before you decide to roll your own – and if you don't find what you need, consider contributing it! Here are a couple of packages that might be useful for those interested in high performance computation:
NumericExtensions.jl – extensions to Julia's base functionality for high-performance support for a variety of common computations (many of these will gradually get moved into base Julia).
Devectorize.jl – macros and functions to de-vectorize vector expressions. With this package, users can write computations in high-level vectorized way while enjoying the high run-time performance of hand-coded de-vectorized loops.
Check out the Julia package list for many more packages. Julia also ships with a sampling profiler to measure where your code is spending most of its time. When in doubt, measure don't guess!


Hi!
As you already know we have recently released an update of our app on Android!
And guess what? It allows our users to work out their routes using public transport, which will certainly help one to move through the concrete jungle faster. The OSM database, however, has some unchecked and dubious info, so we decided to give you a hand and show how to use the newest update to your advantage. Our instructions will be detailed, but, overall, not too complex, because we want you to engage in the process of forming OSM. Try not to break it, ok? Just kidding! If you need a bit more support use LearnOSM.
So, let us go through the process of mapping out a route together using JOSM. We have chosen to create a bus route. For starters, let’s mark our stops. There are two options in the settings, so one can either mark it as a regular bus stop (public_transport=stop_position), or as a place where the passengers will be waiting for the arrival of their bus (public_transport=platform). These stops should be included directly into your route. Then, you should attach some tags, such as public_transport=stop_position, name, etc. You also can use presets: find them in Presets - Transport - Public transport.
As a general rule, the platform for waiting passengers is located in front of a bus stop. It can be a node, a line or even a polygon. We will set two tags, one is public_transport=platform, and the other - highway=bus_stop (to meet the requirements of PT v1). We also encourage you to give it a name.
You need to match the first stop with the starting point of your route. Logically, the last stop has to be near the finish. If, however, you have to put it in the middle, you will need to split the segment there.
 We will need to search a panel on the right side of the screen for “Relations”. If you cannot find it, go directly to Windows -> “Relations”. Found it? Click on “Create a new relation”.
A window will pop up. Here, we will create the relations. One can find the description of any tag they may need here.
Let’s go ahead and add some tags:
type=route
route=bus
from=Bus stop 1
to=Bus stop 3
name=Bus 5: Bus stop 1 => Bus stop 3
ref=5
Our next task is to add other elements of our route. Go to the main window, do not close the window where you have been creating the relation, though. Successively select all the segments of the route, using the CTRL button for multiple marking. These segments will appear in the tab Selection in the window where we have been creating the relation.
Using the buttons circled in red, we will add them to the “Members” tab.
Our next move is to add nodes public_transport=stop_position and public_transport=platform. Select them on the map and, then, add to the relation (higher than ways). Enumerate them to avoid further difficulties. For example, stop_position 1, platform 1, stop position 2, platform 2 and etc. As a result, our relation editing window looks like this:
The roles for stops and platforms, however, will be automatically filled out. For instance, in the column called “Role” stop_position has an assigned “stop” role, while platform has “platform” role. We will change it just a bit here. In particular, we will change the first and the last platform and stop_position roles. Add “_entry_only” to the objects related to the first stop (stop_entry_only, platform_entry_only), it means that this stop has just one purpose - entrance. The last stop, accordingly, should be marked “_exit_only” (stop_exit_only, platform_exit_only). Sometimes the roles are not assigned automatically, then you will need to fill them in manually.
We have marked the buttons for moving and sorting the relation members as 1 and 2 (in red).
If the order of stops is incorrect, OsmAnd will NOT be able to plan a proper route for you!
To check whether the route has any gaps, use small arrows located on the right side of the way. They also will help you to determine the direction of the route.
Now, as you can see, we have a complete route, which starts at Bus stop 1 (on Fedinskaya street) and ends at Bus stop 3 (A-108).
As a rule, buses go both ways. So, why not to create a backtrack? Just start from copying the relations by pressing “Relations - Create copy of this relation”. You can also access the button in the redactor. In order not to get confused, we can delete all stop_position and platform from the relation copy and leave only the ways. By clicking on a button called “Reverse the order of the relation members” in the redactor window, we will reverse the direction of the route and, furthermore, will be able to check whether they are correct. Now, let us add stops and platforms, adding tags in the process.
All the directions, variants of route, and details attached to the route should be united relation type "route_master" which is required by the scheme PTv2. Our task now is to create a new relation and fill in the tags:
type=route_master
route_master=bus
ref=5
The tag “ref” is reserved for the number of the route.
Not closing the redactor, let’s find the previously created route and choose “Select relation” from the context menu. If you did alright, which we are sure of, you will see your route change color. It will become purple, and the tags will appear on the panel “Tags / Membership”.
We will add it to “Members” using the corresponding buttons and save the relation.
To indicate a bus station, mark it with a dot or a polygon, and add tags amenity=bus_station + public_transport=station. More info about tags. You can include the station in relation to the route or create a separate bus stop and add it.
OSM Inspector can help you to check whether routes are correct. Use it, it does a pretty nice work!
In case there is a mistake, click on it in the tab “Selection” and detailed info will appear. A vertical scroll bar will show up automatically if there are multiple mistakes on different levels. Each mistake has a letter J next to it. Click on it, and the mechanism of the remote control will open the corresponding area in JOSM.
Should the message “The OSM server ‘api.openstreetmap.org’ reported a bad request. The area you tried is too big or your request was too large. Either request a smaller area or use an export file provided by the OSM community” appear on the screen, the easiest way to resolve it would be to download this area through JOSM -> File -> Download data -> Download from Overpass API. Using Overpass API allows you to get more data from the server in one request as well as to download only the required type of data.
Gap / Gap or unordered before this way
Any unintentional split of your track will result in this mistake. Search for the relation with this mistake in the editing panel.
On this screenshot, we can see that the line which shows our route indeed has some gaps. To get to the root of the problem, click on the route segment near the split in the Members list. This way will be marked with red coloring in the main window of the program.
To move across the segments of a relation you can also use the keyboard. By going through the track manually, it is easier to spot the segment that was placed incorrectly. And when we already know what has caused the mistake, we can just drag it to its right place. You can also use buttons on your left, if you wish.
The neighboring segments may have an inverted order, which is a fairly common mistake. To correct it, we can select the disorganized tracks in the list of Members and click the button on the left, which is “Reverse the order of relation members”.
The image of a bus has been placed on the button in the latest versions of JOSM to automatically correct simple mistakes. And, finally, when we understand how to make corrections manually, we can run the program, fully controlling the process!
Empty role for non-way object
In most cases, it means that we have left out one stop_position or platform role. We will need to fill in the empty role.
Road vehicle route over non-road
This message will appear when the road is closed or does not allow a certain type of transport to pass through it. Just check the track and place some corrections.
Stop without proper tags
At the place of stop, there are no tags indicating the type of transport (bus=yes, train=yes and etc.).
Route has only stops/platforms
There are no ways in the route. Just add them.
Trolley bus without trolley wire
Tag trolley ways with trolley_wire=yes to mark contact electrical network.
Unknown route type
This type of the route is unknown. Add some details.
Unknown role
The type of the role should be specified.
Stop is not node
The place of a stop (stop_position) is not a node.
Stop not on way
A stop is not implemented in your route, it should be put directly in it.
JOSM has an inbuilt validator which checks data. It will open automatically should you try to send the data to the server, it can also be handled manually. In order to do this, search for the tab “Validation Results” on the right of the main window. Still cannot see it? Let’s turn it on through Windows -> Validation results. Click “Check” button and the whole area (if none selected) validation should start. Should you try sending data to the server, this check will work out only recently changed info.
Let us go through the results related to public transport:
- Route relation contains a ‘forward/backward/alternate’ role
The PTv1 scheme implies additional role assignment to a route, but it goes against PTv2 schema. Delete all the roles and, if necessary, create your route again from scratch.
- Route relation contains a gap
The same as Gap / Gap or unordered before this way in OSM Inspector.
- Route scheme is unspecified. Add public_transport:version
If a route matches with the PTv2 scheme (as mentioned above), add the tag public_transport:version=2 to the relation.
- Stop position is not part of the route
Look up Stop not on way in OSM Inspector, because they are identical.
____________
As you already know, a public transport function has been added in the newest release of our app. We have received some valuable feedback from our users who had already tried this function out. Unfortunately, not all the data in OSM is reliable, which causes a few problems. We sincerely hope that, with the help of these guidelines, it will be much easier for you to create and check the public transport routes.
P.S. We will do our best to upgrade these and other functional aspects of the app in the future. And remember that each user makes all the difference. Let’s create OSM together!


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Rodenpicula:
Yes.
You Metusela Kamael have achieved your current condition through me.
The spirit of chaos and the power of darkness flow through your bodies. Deep within you is the power of the Spicula, with the ability to wield the sword and shield of the light...
Without me, none of that would have been possible.
Ask why she summoned you.


The BQToMeasurementProtocol
worker provides the means to send Measurement Protocol hits to GA sourced from a BigQuery table.
The BigQuery table schema for BQToMeasurementProtocol
is as follows:
The only parameter that can be omitted is v
— the Measurement Protocol version, which is provided by CRMint by default as v=1
.
If the table has a column with a name not matching a valid Measurement Protocol parameter, it will be sent as a non-existing parameter, resulting in an invalid Measurement Protocol hit. The idea behind this is to not interfere with what a user wants to send as Measurement Protocol hit: we’re neither validating, nor transforming parameters and their names.
The only exception is made for the names of repeated parameters: for those we unfold array fields to params named like <field_name><array_element_index>
.
For example, for multiple Content Groups you can either:
cg1
, cg2
, etc.cg
— this will be unfolded automatically to cg1
, cg2
and so on with values taken from the corresponding array elements (one-based indices are used).All of this is to support Enhanced E-Commerce Product Impressions lists and Product Lists.
Structures are unfolded the same way as arrays are, but using structure keys instead of array indices. Arrays and structures are unfolded recursively to the full nesting depth.
Consider this example data row from a BigQuery table represented in JSON:
{
"ni": "1",
"tid": "UA-12345-67",
"cid": "12345.67890",
"t": "pageview",
"dl": "https://example.host/path/page/",
"pa": "purchase",
"ti": "1234",
"ta": "Moscow",
"tr": 54321,
"cu": "RUB",
"geoid": "1011969",
"cs": "(direct)",
"cm": "offline",
"ds": "crm",
"pr": [
{
"id": "SKU1",
"nm": "Product Name 1",
"br": "Brand 1",
"ca": "Category 1",
"pr": 111,
"qt": "1"
},
{
"id": "SKU2",
"nm": "Product Name 2",
"br": "Brand 2",
"ca": "Category 2",
"pr": 222,
"qt": "2"
},
{
"id": "SKU3",
"nm": "Product Name 3",
"br": "Brand 3",
"ca": "Category 3",
"pr": 333,
"qt": "3"
},
]
}
This is converted to this Measurement Protocol parameters and values:
| parameter | value |
|---|---|
| cid | 12345.67890 |
| cm | offline |
| cs | (direct) |
| cu | RUB |
| dl | https://example.host/path/page/ |
| ds | crm |
| geoid | 1011969 |
| ni | 1 |
| pa | purchase |
| pr1br | Brand 1 |
| pr1ca | Category 1 |
| pr1id | SKU1 |
| pr1nm | Product Name 1 |
| pr1pr | 111 |
| pr1qt | 1 |
| pr2br | Brand 2 |
| pr2ca | Category 2 |
| pr2id | SKU2 |
| pr2nm | Product Name 2 |
| pr2pr | 222 |
| pr2qt | 2 |
| pr3br | Brand 3 |
| pr3ca | Category 3 |
| pr3id | SKU3 |
| pr3nm | Product Name 3 |
| pr3pr | 333 |
| pr3qt | 3 |
| t | pageview |
| ta | Moscow |
| ti | 1234 |
| tid | UA-12345-67 |
| tr | 54321 |
| v | 1 |
Transformed to a Measurement Protocol payload string, this is represented as follows:
cid=12345.67890&cm=offline&cs=%28direct%29&cu=RUB&dl=https%3A%2F%2Fexample.host%2Fpath%2Fpage%2F&ds=crm&geoid=1011969&ni=1&pa=purchase&pr1br=Brand+1&pr1ca=Category+1&pr1id=SKU1&pr1nm=Product+Name+1&pr1pr=111&pr1qt=1&pr2br=Brand+2&pr2ca=Category+2&pr2id=SKU2&pr2nm=Product+Name+2&pr2pr=222&pr2qt=2&pr3br=Brand+3&pr3ca=Category+3&pr3id=SKU3&pr3nm=Product+Name+3&pr3pr=333&pr3qt=3&t=pageview&ta=Moscow&ti=1234&tid=UA-12345-67&tr=54321&v=1