-
ipAddress
java.lang.String ipAddress
Address of the remote board.
-
port
int port
Open TCP port on the remote board.
-
row1message
java.lang.String row1message
Text to be sent to the first row of the display.
-
row2message
java.lang.String row2message
Text to be sent to the second row of the display.
-
pwmA
java.lang.String pwmA
Value of the device A regulated by PWM.
-
pwmB
java.lang.String pwmB
Value of the device B regulated by PWM.
-
pwmC
java.lang.String pwmC
Value of the device C regulated by PWM.
-
pwmD
java.lang.String pwmD
Value of the device D regulated by PWM.
-
sender
Sender sender
Handler of network communications.


Joystick control is provided via the blue touch/click area on screen. Click or touch and drag to control throttle and steering. In joystick mode, you can also use the following keyboard keys:
- Forward:
I
- Reverse:
K
- Left:
J
- Right:
L
Gamepad control is enabled by the HTML5 gamepad API, currently supported by Chrome and Firefox. Playstation 3 controllers have been confirmed to work.
Device tilt control is enabled for devices with device orientation sensors, and should work with most modern smartphones. Hold your device in landscape mode, tilt forward/backward for throttle and left/right for steering.
Pilot Mode can be toggled or chosen using the keyboard.
- Toggle Pilot Mode:
M
- User Mode:
U
- Auto Steering Mode:
S
- Full Auto Mode:
A
Recording can be toggled using the keyboard.


A Chrome extension that adapts the colors in webpages for individuals with color vision deficiencies!
Find Out MoreThe most common and well-known color-blindness test is known as the Ishihara Test. This test consists of a series of plates with circles made up of smaller circles of varying colors. The colors are chosen and arranged in a way so that people with different color vision will see different things in the plates.
A lesser-known test is the Farnsworth D-15 Dichotomous Test, in which you are given 15 color swatches of a gradient, and you have to order them from one end of the gradient to the other.
The idea for Fresh Eyes began with the concept of creating an extension to assist people with color vision deficiencies. We searched and found nothing that seemed to correct color vision, but there were a few that simulated different deficiencies. We found one named Spectrum and decided to run their concept backwards and create an extension that would reverse the effects.
Macalester College
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University of Minnesota
University of Minnesota
Tell us about any issue with our product or give us feedback! Give us a call or send us an email and we will get back to you as soon as possible!


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Video: Top fintech stories this week – 22 November 2019
by FinTech FuturesThe FinTech Futures weekly round-up of the industry’s top stories and happenings from across the globe.
This week we cover:
The FinTech Futures weekly round-up of the industry’s top stories and happenings from across the globe.
This week we cover:


Off the north coast of Scotland, there are seventy islands which form the Orkney Islands. Some are no more than tiny rocks with just sheep and sea birds on them; only sixteen have human populations. Apart from Rousay and Hoy, the islands are low-lying and good for farming. Altought tourism is now the main industry, farming is still as important to island life as it was thousands of years ago. People have farmed here for more than 4,500 years and you can still see parts of a village from that time on the biggest island, which is called the Mainland. The strange stone box beds that are left show us that the inhabitants used to sleep sitting up rather than lying down!
The Orkney Islands are great for walking and one of the best places in the British Isles for water sports. There are seven lochs, or lakes, to fish in and excellent sea fishing. The capital of the islands is the beautiful old town of Kirkwall, where there are shops offering special varieties of cheese and fish. The fishing port of Stromness has a museum, three bookshops and an Arts Centre, which has a good collection of late wentieth-century art. In the harbour there are plenty of fishing boats to see, although the boats no longer catch whales as they once did. Every year there is an Arts Festival in June, which has music, drama, dance, poetry and exhibitions of paintings.
It is best to spend most of your time in the Orkney Islands on the Mainland, as there is so much to see and do. However, you can also visit one or two of the other islands such as the island of Hoy; which is particularly famous for its high cliffs. Taxis are available to drive you round Hoy, but you will need to walk up to the top of the cliffs. When tourists reach the cliff edge, particularly in bad weather, they find the safest way to see the view is by lying down on their stomachs!
BA Express flies to Kirkwall daily (except Sundays) from Glasgow and Edinburgh, and there are connecting services with London Heathrow. There is a ferry every day from Scabster and weekly ferries from Aberdeen.
There are many excellent hotels and inns to choose from. Most do very good fish dishes in their restaurants. The Stromness Hotel also offers seven nights from £199 during the Arts Festival and the price includes a meal before or after the concerts.


SANTIAGO (Reuters) - The Chilean government has agreed to write a new constitution to replace one dating back to the Pinochet dictatorship, bowing to demands of protesters who have taken to the streets in often violent demonstrations in recent weeks.
Interior Minister Gonzalo Blumel said the president, cabinet members and political allies had agreed Congress should lead the process of re-writing the constitution. The document would be put to a public referendum.
“Above all, we must focus on the goal of reconfiguring the social contract, which has arisen as a fundamental demand of our citizens,” Blumel told a news conference on Sunday night.
The announcement from President Sebastian Pinera’s center-right government follows three weeks of protests sparked by a hike in metro fares.
The demonstrations have sometimes devolved into arson, riots and looting, leaving at least 20 dead and wreaking billions of dollars in damages to public infrastructure and private business. Santiago’s public transport system has been hobbled.
A new constitution has repeatedly arisen as a central demand of protesters. Critics have long said the existing document, written and approved during General Augusto Pinochet’s 1973-1990 military dictatorship, lacks legitimacy.
Chile’s communist party said in a statement the Pinera administration had still not gone far enough, demanding a referendum even before the process begins so the “people can determine the mechanism for drafting the new Constitution.”
On Monday, Pinera’s spokeswoman Karla Rubilar held firm on the importance of routing the process through lawmakers.
“We believe firmly that the best deal will be achieved by going through Congress,” Rubilar said, adding that the administration recognized the importance of “active participation” of Chileans.
Chile’s constitution has been tweaked several times since it was enacted in 1980. But those calling for change say any new text must add further protection of social rights and increase citizen participation in the 30-year old democracy.
Opponents of the overhaul say the current charter has been a pillar of stability for Chile, among the region’s strongest and most investor-friendly economies.
Blumel did not give a timeline for the process but said the government would move quickly to begin.
“The best way to proceed is via Congress, with participation from citizens, and then, to submit it to a plebiscite,” Blumel said.


Manager
Employee ID: 10<EMAIL_ADDRESS>Office Number: 10
Engineer
Employee ID: 20<EMAIL_ADDRESS>GitHub: hi
Intern
Employee ID: 30<EMAIL_ADDRESS>School: we


Run Gems by launching rungems.cmd
If your TIBCO home directory is not \tibco then you will need to edit rungems.cmd appropriately. For example if your TIBCO home directory is C:\tibhome then set the TIBEMS_ROOT variable to the EMS install directory under the TIBCO home directory:
set TIBEMS_ROOT=C:\tibhome\ems\8.1
To run, Gems requires the following:
- The TIBCO EMS client jar files
- Java JRE 1.7.0 or higher
Ensure the java executable is available in your path, or edit the rungems.cmd file and set the path appropriately.
The gems.props
configuration file contains various properties for customising the workspace.
For example the default workspace size can be configured using the DisplayWidth, and DisplayHeight properties.
See Configuration Properties for a complete list of available properties.
To run Gems in "view only" mode as a pure monitoring tool launch runsimplegems.cmd
Edit simplegems.props to hide any nonessential displays, and to restrict monitoring views to application specific set of queues and topics.
Gems supports simultaneous connections to multiple EMS servers. A new EMS Server may be added using the "Add New EMS Server" option on the Edit menu, or alternatively these can be configured in the servers.xml
file.
To create a new server connection in the servers.xml
file and add a new ConnectionNode
element with the mandatory attributes "alias" "url" and "user"
The list of available attributes are as follows:
ConnectionNode
elements can be grouped in the tree view by specifying custom elements.
For example, to group test and dev environments separately:
<MyProject>
<DEV>
<ConnectionNode alias="DEV-EMS1"....
</ConnectionNode>
<ConnectionNode alias="DEV-EMS2"....
</ConnectionNode>
</DEV>
<TEST>
<ConnectionNode alias="TEST-EMS1"....
</ConnectionNode>
<ConnectionNode alias="TEST-EMS2"....
</ConnectionNode>
</TEST>
</MyProject>
The ConnectionNode
element may also contain WarnLimits and ErrorLimits child elements. These elements can be used to configure limit values for the Server Monitor screen, indicating when values should be marked amber (warning) and red (error).
See the servers.xml
file for an example.
Custom icons can be displayed in the tree view by specifying the path to an icon file, for example:
<MyProject icon="images/myImage1.gif">
<DEV icon="images/myImage2.gif">
Note: After editing the file Gems needs to be restarted for any configuration changes to take effect.
The Gems workspace is divided into two main sections. On the left-hand side of the workspace the tree view shows a hierarchical view of configured EMS server connections and their contained objects. The right-hand side of the workspace the tabbed view show detailed information for the selected node from the tree view.
Figure 1 - Main Display
Note: In the tabbed view; the table data can be sorted by clicking on the column headers, or Control-clicking to apply secondary sorting.
When starting Gems the tabbed view shows the server monitor display. The server monitor display shows a consolidated table view of all EMS server connections with its current state and various statistical information, including:
These values can be highlighted when configurable limits are reached, either amber (for warning) or red (for error). These limits can be configured for each server connection in the servers.xml
file.
To view totals for all displayed servers select "Show Server Totals" from the View menu.
To view the server monitor display select the root node in the tree view on the left-hand side of the workspace.
The display is updated every 20 seconds by default. This can be changed in the property configuration file. However, since every refresh implies communicating to the server to request updated information and thus using a low refresh value may impact server performance.
An event monitor for each EMS server may be configured using the Event Monitor Editor (on Edit menu) or in the servers.xml
file to subscribe to $sys.monitor events.
The example below shows subscriptions for limit events (e.g. queue maxmsgs limit reached) and error events such as connection errors and route errors. See EMS documentation for full list of $sys.monitor topics.
<ConnectionNode alias="EMS-SERVER" url="tcp://localhost:7222" user="admin" password="" autoConnect="true">
<EventMonitor maxDisplayedEvents="50" enabled="true">
<EventSubscription monitorTopic="$sys.monitor.limits.*"/>
<EventSubscription monitorTopic="$sys.monitor.*.error"/>
<EventSubscription monitorTopic="$sys.monitor.server.warning"/>
</EventMonitor>
</ConnectionNode>
Events are shown on the Event Monitor Display, and further information about the event may be viewed by double clicking on the event row. Events may be cleared via the right mouse button pop-up menu.
Destinations may also be monitored, e.g. a subscription of $sys.monitor.Q.r.MyErrorQueue will generate a monitor event when a message is sent to MyErrorQueue. The original message sent to MyErorrQueue can be retrieved by double clicking on the event message to open the event message window then selecting "View Original Message..." from the Message menu.
<EventSubscription monitorTopic="$sys.monitor.Q.r.MyErrorQueue"/>
Another example use of event monitoring is to highlight any messages that do not have properties set correctly. E.g. to check that a destination should only be used for non-persistent messages a selector may be specified to check the mode property in the monitor message, as shown below. For list of available monitor message properties see Appendix B in the EMS Users Guide.
<EventSubscription monitorTopic="$sys.monitor.Q.r.MyNonPersistentQ" selector="mode='PERSISTENT'"/>
Note: The event monitor is disabled for standby servers and is not started automatically following an FT switch.
Select "Save Config..." from the File menu to save the current configuration to the servers.xml
file. Any EMS server passwords will be encrypted and the configuration XML may be edited manually, however any manual changes will not take affect until Gems is restarted.


Rework is a very powerful tool. It allows working with CSS contents in a friendly manner. Let's improve you IE8 compatibility with it.
I discovered Rework recently thanks to the Nicolas Gallagher recent blog post. It made me think about the recent ChtiJS build migration from Grunt to Gulp. One thing I did with our Grunt build was to create a IE8 specific CSS file by removing each rem units and replacing them with px units. It worked well but wasn't perfect since it didn't took in count the CSS syntax and could have lead to bugs for complex stylesheets.
On the other hand, give up rem units just for IE8 support is a bad idea. The rem unit system is really powerful when you want to size your contents. It gives you the em advantages without the well know nested em problems.
So I decided to create a Rework plugin in order to reproduce this behavior more safely. I called it rework-rem2px and you can already find it on NPM. It works well, but the IE specific stylesheet were still containing some extra code, especially media queries that old IE version doesn't understand.
Thanks to the community, something already exists. css-queryless remove media queries from a CSS file and also allows you to specify some expressions for wich you want to keep the media queries content in place that matches.
Ended up with this Gulp task:
// CSS
gulp.task('build_styles', function(cb) {
var keepmatches = [
'screen and (min-width: 61rem)',
'print'
];
gulp.src(conf.src.less + '/main.less')
.pipe(g.less())
.pipe(g.autoprefixer())
.pipe(gulp.dest(conf.build.css))
.pipe(g.rework(queryless(keepmatches), rem2px(16)))
.pipe(g.rename({
suffix: '-ie'
}))
.pipe(gulp.dest(conf.build.css))
.once('end', cb);
});
Let me know you own tips to write modern CSS that work on IE8!


Syntax:
subst new old tree &key key test test-not => new-tree
subst-if new predicate tree &key key => new-tree
subst-if-not new predicate tree &key key => new-tree
nsubst new old tree &key key test test-not => new-tree
nsubst-if new predicate tree &key key => new-tree
nsubst-if-not new predicate tree &key key => new-tree
Arguments and Values:
new---an object.
old---an object.
predicate---a symbol that names a function, or a function of one argument that returns a generalized boolean value.
tree---a tree.
test---a designator for a function of two arguments that returns a generalized boolean.
test-not---a designator for a function of two arguments that returns a generalized boolean.
key---a designator for a function of one argument, or nil.
new-tree---a tree.
Description:
subst, subst-if, and subst-if-not perform substitution operations on tree. Each function searches tree for occurrences of a particular old item of an element or subexpression that satisfies the test.
nsubst, nsubst-if, and nsubst-if-not are like subst, subst-if, and subst-if-not respectively, except that the original tree is modified.
subst makes a copy of tree, substituting new for every subtree or leaf of tree (whether the subtree or leaf is a car or a cdr of its parent) such that old and the subtree or leaf satisfy the test.
nsubst is a destructive version of subst. The list structure of tree is altered by destructively replacing with new each leaf of the tree such that old and the leaf satisfy the test.
For subst, subst-if, and subst-if-not, if the functions succeed, a new copy of the tree is returned in which each occurrence of such an element is replaced by the new element or subexpression. If no changes are made, the original tree may be returned. The original tree is left unchanged, but the result tree may share storage with it.
For nsubst, nsubst-if, and nsubst-if-not the original tree is modified and returned as the function result, but the result may not be eq to tree.
Examples:
(setq tree1 '(1 (1 2) (1 2 3) (1 2 3 4))) => (1 (1 2) (1 2 3) (1 2 3 4)) (subst "two" 2 tree1) => (1 (1 "two") (1 "two" 3) (1 "two" 3 4)) (subst "five" 5 tree1) => (1 (1 2) (1 2 3) (1 2 3 4)) (eq tree1 (subst "five" 5 tree1)) => implementation-dependent (subst 'tempest 'hurricane '(shakespeare wrote (the hurricane))) => (SHAKESPEARE WROTE (THE TEMPEST)) (subst 'foo 'nil '(shakespeare wrote (twelfth night))) => (SHAKESPEARE WROTE (TWELFTH NIGHT . FOO) . FOO) (subst '(a . cons) '(old . pair) '((old . spice) ((old . shoes) old . pair) (old . pair)) :test #'equal) => ((OLD . SPICE) ((OLD . SHOES) A . CONS) (A . CONS)) (subst-if 5 #'listp tree1) => 5 (subst-if-not '(x) #'consp tree1) => (1 X) tree1 => (1 (1 2) (1 2 3) (1 2 3 4)) (nsubst 'x 3 tree1 :key #'(lambda (y) (and (listp y) (third y)))) => (1 (1 2) X X) tree1 => (1 (1 2) X X)
Side Effects:
nsubst, nsubst-if, and nsubst-if-not might alter the tree structure of tree.
Affected By: None.
Exceptional Situations: None.
See Also:
substitute, nsubstitute, Section 3.2.1 (Compiler Terminology), Section 3.6 (Traversal Rules and Side Effects)
Notes:
The :test-not parameter is deprecated.
The functions subst-if-not and nsubst-if-not are deprecated.
One possible definition of subst:
(defun subst (old new tree &rest x &key test test-not key) (cond ((satisfies-the-test old tree :test test :test-not test-not :key key) new) ((atom tree) tree) (t (let ((a (apply #'subst old new (car tree) x)) (d (apply #'subst old new (cdr tree) x))) (if (and (eql a (car tree)) (eql d (cdr tree))) tree (cons a d))))))


ShiftLock is a two player party game played on the same keyboard. The winner of a round ShiftLock is the player who's word is successfully entered first. Keep in mind input is case sensitive.
Rules
Player must complete their given word before the other player.
If the same letter is active and share the same index value both players advance on key input.
If the same letter is active and a player has more matched characters in their current word, the player with fewer matched characters receives that letter.


neel mazumdar
Back-End Dev
Mashima
Project Lead
Tevin Davis
Backend Dev
Luis Pineda
Frontend
Anam Khan
React developer
Nandhini Madan
UI Dev


Hello, Stranger!
Welcome to Runners home
tm
Runners home
tm
is dedicated to providing you with:
the most up-to-date information on running races.
the best recources for runners


Data Scientist - Denton, TX 76201
The Data, Analytics, and Institutional Research (DAIR) Department at the University of North Texas is seeking to hire a creative and analytically focused Data Scientist to join our team of nationally recognized practitioners. Responsibilities of the position include, but are not limited to:
Purpose/Description
Partners with a variety of internal and external stakeholders to perform advanced data design and analysis using a broad array of data science skills and data structures to create new knowledge useful to the university. This position proactively identifies, develops, and implements analytical and institutional data science applications to find creative solutions to medium to long term issues facing the university and our students. Leverages programming, data architecture activities, and analytic tools to respond to complex challenges to drive lift and ROI via actionable insights.
Representative Tasks
Works with C-Suite leaders, senior administrators, Deans, staff, external constituents, and internal DAIR colleagues to formulate and scope questions to assist leaders in higher education transformation.
Develops predictive models to help leaders solve critical higher education problems.
Influences a general audience to understand the quality, completeness, and appropriate use of data science approaches and provides advice about choice of statistical and machine learning approaches.
Develops tools and libraries to create efficiencies for future work.
Working in partnership across the DAIR office, identifies new sources of data within the UNT data landscape that will improve information about student and administrative outcomes.
Stay at the forefront of emerging analytics and data science issues in higher education by actively representing the University at conferences or meetings.
NOTE: This job description is not intended to be all-inclusive. Employee may perform other related duties to meet the ongoing needs of the Department.
Supervision
Received: Work completed independently with minimal guidance. Assignments are made in terms of broad practice, precedents, policies and goals. Work may be reviewed for fulfillment f department objectives, and conformance with policies and regulatory requirements.
Given: Typically allocates/coordinates work within the team/project, or as a purely technical or professional role, the job has an advisory role and/or influence over the direction of a discipline, where it contributes to determining technical or professional developments.
Licenses, Certificates or Registration
Required: NA
Physical Job Requirements
While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms.
Work Environment
This job operates in an office setting. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.
The University of North Texas System and its component institutions are committed to equal opportunity and comply with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University of North Texas System and its component institutions do not discriminate on the basis of race, color, sex, sexual orientation, gender identity, gender expression, religion, national origin, age, disability, genetic information, or veteran status in its application and admission processes, educational programs and activities, and employment practices.
Minimum Qualifications
The successful candidate will possess a Master's Degree in quantitative disciplines such as Analytics, Business Intelligence, Data Sciences, Business Administration, Computer Science, Public Policy, Statistics or a related discipline. Three years of professional experience.
The following knowledge, skills, and abilities are required:
Experience with at least one of the programming languages/Tools : R, Python, SQL, MYSQL, BigQuery, or PostgreSQL.
Technical expertise regarding data models, database design development, data mining and segmentation techniques.
Ability to develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
Proactively identifies, analyzes and interprets trends and patterns in complex data sets.
Experience processing, filtering and presenting large quantities of data.
Skills in data mining, model building and other analytical techniques to identify business opportunities.
Knowledge of data analysis and research design methodologies.
Capacity for independent and creative thinking and writing on research and statistical problems.
Ability to work with data from multiple sources and varying degrees of quality.
Knowledge of business intelligence and reporting tools such as SAS Viya, SAS Visual Analytics, SAS Visual Statistics, Tableau, or Microsoft BI.
Excellent analytical and quantitative skills.
Excellent communication skills, both verbal and written.
Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products required.
Background in a variety modeling techniques: GBM, logistic regression, clustering, neural networks, NLP.
Preferred Qualifications
The preferred candidate will possess the following additional qualifications:
Education and Experience
Master's Degree in quantitative disciplines such as Analytics, Business Intelligence, Data Sciences, Business Administration, Computer Science, Public Policy, Statistics or a related discipline. Three years of professional experience.
The following knowledge, skills, and abilities are required:
Experience with at least one of the programming languages/Tools : R, Python, SQL, MYSQL, BigQuery, or PostgreSQL
Technical expertise regarding data models, database design development, data mining and segmentation techniques.
Ability to develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
Proactively identifies, analyzes and interprets trends and patterns in complex data sets.
Experience processing, filtering and presenting large quantities of data.
Skills in data mining, model building and other analytical techniques to identify business opportunities.
Knowledge of data analysis and research design methodologies.
Capacity for independent and creative thinking and writing on research and statistical problems.
Ability to work with data from multiple sources and varying degrees of quality.
Knowledge of business intelligence and reporting tools such as SAS Viya, SAS Visual Analytics, SAS Visual Statistics, Tableau, or Microsoft BI.
Excellent analytical and quantitative skills.
Excellent communication skills, both verbal and written.
Proficient knowledge of the function/discipline and demonstrated application of knowledge, skills and abilities towards work products required.
Background in a variety modeling techniques: GBM, logistic regression, clustering, neural networks, NLP.
Other Preferred Qualifications:
Two years of related experience in a higher education institutional research or business intelligence capacity.
Working knowledge of ERP such as PeopleSoft, SAP or Banner.
Familiarity with machine learning frameworks, like TensorFlow or PyTorch.
Experience in machine learning/deep learning-based algorithms with structured/unstructured data.
Experience with mathematical & statistical understanding behind the algorithms.
Experience with converting & writing distributed algorithms to process large amount of unstructured data.
Doctoral Degree in quantitative discipline noted above.
Special Instructions to Applicants
Applicants must submit a resume and a cover letter with their online application.
Applicants should attach a one page maximum executive summary to "Other Document" on the "Attach Documents" screen, outlining a strategic problem/question they were asked to solve, what data sources were used, what data science approaches were used, what data quality steps were undertaken, and what findings were surfaced. Applicants should conclude with a brief summary of how the organization leveraged the work to respond to the original problem/question.
Is this a security sensitive position?
Yes
Driving a University Vehicle?
No
Job Open Date
10-11-2019
Job Close Date
Open Until Filled
Pay Rate
Salary Commensurate with Experience
Pay Basis
Monthly
Job Type
Full-time Permanent


EU members back tough stance on 5G suppliers in potential blow to Huawei
by Michael SearlesEuropean Union countries are endorsing a tough line on selecting 5G suppliers in a potential blow to market-leading telecoms equipment supplier Huawei.
At a meeting in Brussels on Friday, ambassadors for EU states agreed to an approach which includes vetting the domestic legal framework 5G suppliers are subject to.
Read more: Trump administration grants Huawei another 90-day reprieve on trade ban
The news was confirmed by a spokesperson for Finland, which currently holds the rotating EU presidency.
A draft document ahead of the meeting said, EU countries should consider non-technical factors such as the legal and policy framework to which suppliers may be subject in third countries, according to Reuters. Although no specific companies were mentioned.
EU governments should also diversify their suppliers and not depend on one, the document said.
Ministers from the member states are expected to give the green light to the approach at a meeting next month.
The US has urged the EU to ban Huawei equipment amid an ongoing dispute and tensions with China.
Concerns are based on Chinese law on domestic companies’ cooperation with the government on security, which the US believe could make Huawei a vehicle for spying.
Huawei has denied the charges and dismissed them as groundless.
Last month the EU warned of increasing risks of cyber attacks by state-backed entities, but did not name companies or countries.
The promotion of 5G networks remains a key possibility to boost economic growth, the EU believes.
Read more: Huawei: The fake choice between US and China will weaken the world economy
It is looking into a “toolbox of measures” by the end of the year to address cyber security risks at national and continental level.
The European Agency for Cybersecurity is also finalising a map of specific threats related to 5G networks.


The experience went on one week ago and that's been the best week in about ten years.
I live in Europe but I'm bound to Brazil and my religious practice come from there: precisely brazilian western Amazon. That is, of course, Santo Daime. I'm practicing for 4 years now and surely the Daime/Ayahuasca had a very positive effect on me. My family witnesses it with joy: I cured my 5 years long opioid addiction and started a healthy lifestile. My parents and friends first were concerned about things like 'entering a cult' and 'taking strange drugs'. Now they would be very concerned about me stopping it 'cause they see I'm millions times better than before and now better than ever!
Let me tell: About 10 years ago, medicine-men from the Katukina tribe visited Santo Daime churches. They were impressed by the strongly specialized ayahuasca use of the church and decided to teach the daimistas how to use the Kamb˘.
One week ago, finally my encounter with the Sapo. It was after 3 SD works in a week: 1 'Cura' + 2 'Hinarios'. I already felt so good, centered, firm and strong as usual after the Daime. The best was yet to come. The only thing Daime/ayahuasca never totally healed (just cured) was my fibromyalgia wich I suffer(ed) for something like 20 years and led me to the opioid abuse that I stopped thanks to SD.
I had my Sapo session at 8:30 a.m. in the Santo Daime church. There were me, T. the 'sapo doctor' and other two patients. Empty stomach. I had drunk 4 glasses full of water as suggested by T.: that is very important: Kamb˘ made me puke just bile and coming diluted with water it was not total hell like it would be without it.
T. proceeded to burn my skin in 7 points on the forearm (normally it is done on the shoulder but it was cold and so I didn't need to pull my sweater) then applied 7 little doses of the frog sweat with a small knife. It burned and after few seconds I felt warmness expanding thru my body. Then T. applied a drop of water on the upper burn and let it slide along the row of tiny burns covered by the sacred VENENUM... 'OMG!' I thought. 'I've done it!'. It was really hard to undergo and bear. Fortunately I already knew that the feeling of 'going to die' is not justified 'cause I witnessed several old people (70-80 y.o.) with serious heart problem being treated with Sapo at the same dosage and doing very well after.
After a tremendous rush of warm I felt my lips being stretched and my throat swelling and getting very dry.  I was suffering a lot. My nose running. Difficulty breathing. T. began chanting a song about Rei Kamb˘'s healing power. Then happened something strange: I began to somehow appreciate that state. My column stetched and I seated watchin straight ahead. I began breathing deeper and slower than ever. It was like some entity possessed me and breathed for me. I enjoied the sound of my breath that became encreasingly stronger and I started to make noises humming at a frequence that resonated with a pitch sound surrounding me. It felt like I was synchronizing to the a pulse coming from Nature and that that would make me a stronger man. I also felt like I was in a different environment filled with green-yellow foggy light coming down in rays from the ceiling.
At about 10-15 minutes sickness grew strong but I was not able to puke. T. then gave me two more glasses of water, waited two minutes, I didn't puke so, again singing a song on the Sapo, T. geve me two more burns and applied new fresh medicine and water.
Again the rush, and after 1 minute I purged. Lot of water mixed with a little bile. After 10 minutes I was able to stand and after 2 more minutes I ran to the bathroom and had a huge amount of diarrhoea. After that I felt way better. Only swollen throat...
When I watched my face in the mirror I was astonished: my face was terribly swallen and had assumed a distinct froggy look. Believe me: it was not swallen as if I had an edema or someone punched me in the face... I just looked as a toad but all the swelling parts of my face had a normal color and did not hurt at all: I was frogged!
T. wept my arm and said I could do whatever I wanted now, even eating anything I wanted but he warned about not smoking tobacco at all. He said I could smoke only pure and organic cannabis if I liked. I did it and it helped a lot. Strangely enough, while cannabis normally congests the mucous membranes, it really helped with the swallen throat and the residual little fatigue.
It continued to work in my body all thru the day. Gradually it made residual symptoms of a strong cold I had previously subside after expelling a lot of mucus from my nose and throat. After that my nose and throat were perfectly cleaned. My eyesight was so good after 2-3 hours and all the day long. No fibromyalgic pain at the moment but I thought it was just a transitory effect of the Sapo-Kambo. I had a strong desire to walk in the nature.
 My face was still frog-looking but gradually coming back to normal. And then: at 9:00 p.m. I felt the urge to lay down on the floor in the church and stretch my column: tlack! tlack!! tlack!!! and then it was perfectly straight.
I woke up at 4:00 a.m. and I was already totally awake! I meditated 1 hour. took a shower at 5:00 then went for a walk waiting for the dawn: NO FIBROMYALGIA!!! I was amazed: for the last 15 years I always awoke with a bad pain in my leg muscles...
My eyes were wide open, my mind alert, an overall sense of well being e clearness, not the one a drug could give me but just a sensation of pure, natural health. But most important of all: NO MUSCLE PAIN!
God bless that little frog: a week passed and I didn't feel any pain. It looks like my fibromyalgia simply went away... And if one day it will come back I know whats the medicine, thanks to God.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Example code¶
The first step we need is to define the operations that we will be combining.
In combtest these are called Actions
. Each is a decendent class
of Action
. Such classes require a
run
function that defines the actual
operation. Acceptable parameters for passing to the function can
be provided via the OPTIONS
class member.
A test case is represented as a sequence of Action
instances. These cases are Walk
instances, which
will be generated via combination of the Actions
the user provides.
Walks
are simply executables that execute the run()
functions of their Actions
in order, passing a shared object called
state
to each.
Example:
from combtest.action import Action
class MyAction(Action):
# Each value in this list can be passed to run(). When we
# generate test cases we will use this option list, and the option
# list of all other Actions, and generate all possible combinations.
OPTIONS = [True, False]
def run(self, param, state=None):
# The 'state' is an optional object passed among all instances in a
# ``Walk``. It can be anything the user wants to have shared across
# those ``Actions``. A copy is made for each generated ``Walk``.
something = state['something']
something.method(param)
# Raising an Exception during execution fails the case, and no
# later ``Actions`` in the case will be run.
if something.value == False:
raise ScaryError(":(")
If you prefer to generate the options of an Action
in some more interesting
way, or want to return an iterator of options, you can override the
get_option_set()
classmethod:
from combtest.action import Action, OptionSet
import my_lib
class MyAction(Action):
def run(self, param, state):
blah blah
@classmethod
def get_option_set(cls):
# An OptionSet is an iterator that produces, in this case, ``cls``
# instances, one for each value produced by the provided iterator.
return OptionSet(my_lib.some_iterator, cls)
That is it; once you have defined your Action
classes, you can pass them to the py-combtest
framework to be run.
Generating and Running Tests¶
Once you have written your Action
classes, running
tests is as simple as:
from combtest.runner import run_tests
action_order = [
MyAction1,
MyAction2,
MyAction3,
MyAction4,
]
results = run_tests(action_order)
print("Ran %d walks in %0.2fs with %d errors" % (results.walk_count,
results.elapsed,
results.error_count)
Tests will be generated automatically given the options that your Actions
provide.
run_tests()
has many options, which are worth reading
in the docs. Here are a few examples.
Providing a custom state
object:
# You can provide some instance to serve as the state passed around during
# the tests. There are two important details to know about this:
# * The state must be JSON-ifiable, but py-combtest provides a convenience
# pattern to help with that. See ``Notes on Serialization`` below.
# * Shallow copies of the state will be made, via copy.copy(), since each
# test owns its own copy. You may want to e.g. override __copy__ if
# the details of the copy are important to you.
# Here is an example of a silly state class for simplicity of illustration:
class MyStateClass(dict):
@property
def A(self):
return self.get('A', None)
@A.setter
def A(self, value):
self['A'] = value
@property
def B(self):
return self.get('B', None)
@B.setter
def B(self, value):
self['B'] = value
class MyActionA(Action):
OPTIONS = [1, 2, 3]
def run(self, param, state):
state.A = param
class MyActionB(MyActionA):
def run(self, param, state):
state.B = param
my_state = MyStateClass()
# gather_states=True means that the resultingn states are interesting to
# us, so we want the framework to pull the states back to us after the
# test run.
results = run_tests([MyActionA,
MyActionB],
state=my_state,
gather_states=True)
print("Resulting states: ", results.states)
- The output for this case looks like this: ::
- Resulting states: [[{u’A’: 1, u’B’: 1}, {u’A’: 2, u’B’: 1}, {u’A’: 3, u’B’: 1}], [{u’A’: 1, u’B’: 2}, {u’A’: 2, u’B’: 2}, {u’A’: 3, u’B’: 2}], [{u’A’: 3, u’B’: 3}, {u’A’: 1, u’B’: 3}, {u’A’: 2, u’B’: 3}]]
You can vary the log directory and verbosity of logs, and can record replays
of each Walk
so you can re-run them later.
# Minimalist logging. Verbose can be 0, 1, 2, with increasing log verbosity
run_tests(...,
verbose=0,
...
)
# At verbosity=2 we will produce an additional debug level log
# If log_dir is provided we will also record a replay for every
# ``Walk`` that is run. Paths to the log files will be available in
# the Results object returned from ``run_tests()``.
run_tests(...
verbose=2,
log_dir='/my/log/dir',
...
)
Serial Actions¶
Sometimes we need to perform an operation that affects multiple tests that we
want to run in parallel. py-combtest
provides a feature for accomplishing
that.
By way of example: suppose we are performing a system test, and that the system has some global config setting that affects all tests. First We need all tests to finish executing up to the point that the config change should happen. At that point we perform the config change once and for all, and then release the next part of the tests to once again run in parallel.
The operation that needs to run once-and-for-all and serial is represented
with a SerialAction
. The user provides their
SerialAction
in exactly the same way they provide other
Actions
.
from combtest.action import SerialAction
import my_system
class ChangeConfigSerialAction(SerialAction):
# A single option means we will be running this once for all
# tests, but it is perfectly fine to have multiple options.
OPTIONS = [True,]
def run(self, param, state):
# Change some global setting
my_system.set_some_global_config(1)
run_tests([Action1,
Action2,
ChangeConfigSerialAction,
Action3],
...)
Notice above that the SerialAction
is treated like any other. The framework
will run all Action1
and Action2
in parallel, wait for them to finish,
run ChangeConfigSerialAction
once, then run all Action3
in parallel. If
the SerialAction
had more than one option, each option will be run one at a
time, serially.
Notes on Distributed Test Execution¶
py-combtest
provides a number of ways to execute tests in a distributed +
parallel fashion. The mechanisms for that are as follows:
- A generalized thread pool implementation that can execute multiple callables in parallel in a given process. (
ThreadPool
)- An
rpyc
-based service which receives lists of tests (or portions of tests) to run, dispatches them to a thread pool for for execution, and which collects outputs, statistics, etc. (CoordinatorService
)- A client class that bootstraps test executors, potentially across many machines, and dispatches tests to them for running. (
ServiceGroup
)- Customizable mechanisms for bootstrapping the services - e.g. via SSH, multiprocessing. (
ServiceHandler
)
For most purposes the user should not need to inherit or override any of these,
but they are designed to make that possible. For convenience, all overrides can
be made at the run_tests()
call. Example:
class MyTestService(MultistageWalkRunningService):
...
...
run_tests(..., runner_class=MyTestService)
Using SSH To Bootstrap Test Executors Across Machines¶
The user is free to specify how test executors are bootstrapped, but two convenience implementations are provided:
- A
multiprocessing
-based method, which spins up multiple processes on the local machine. This is the default implementation.- An optional
paramiko
-based SSH implementation, which makes it relatively simple to bootstrap test executors across machines.
The latter is used by simply installing it and passing it to
run_tests()
:
import combtest.ssh_handle as ssh
...
run_test(..., service_handler_class=ssh.ServiceHandler_SSH)
The trick to using this is the need to provide authentication. Authentication
credentials can be specified using the config
module
(see below). A path to an rsakey file can be provided for example.
paramiko
also supports username/password authentication, among other
methods.
NOTE: paramiko
is not installed by default with py-combtest
. You will
need to ensure it is installed to use ssh_handle
.
Custom Service Bootstrapping Methods¶
The user is free to specify other ways of bootstrapping test executors,
though that will not be required for most users. See the interface provided
by ServiceHandler
for reference.
Notes on Serialization¶
Several objects need to be serialized to work properly, such as custom
state
objects. py-combtest
uses a callback pattern to make it
easy for the user to provide JSON serializers for any classes they
are using. The serialization looks like this:
class MyClass(object):
def __init__(self, a, b):
self.a = a
self.b = b
def to_json(self):
return (self.a, self.b)
@classmethod
def from_json(cls, obj):
cls(obj[0], obj[1])
The user provides the pair of methods to_json
, from_json
. The
former provides some JSON-ifiable object. py-combtest
will recursively call
to_json
on anything contained in that object. So if self.a
is another
custom class with a to_json
method, the above example will still work.
The latter receives a copy of that object during deserialization and returns
a deserialized instance of the given class. That is: it maps the thing
returned by to_json
on the class’s constructor.
Logging and Replay¶
- There are three main types of logging
combtest
uses: - Standard Python logging, which the user can leverge as normal
- An extension to Python logging, called
central_logger
; the user can treat this like standard Python logging, but logs will automatically be sent between the test execution services and the coordinating process (whererun_tests()
was called). - Human-readable representations of test cases; these service as traces of
the cases which were run, and can be fed back to the
replay
module to be re-run individually.
Distributed Logging¶
To log using central_logger
, simply leverage the logger
it exposes instead of using a logger from the standard logging lib:
from combtest.central_logger import logger
...
logger.error("We are having trouble here.")
These log lines will automatically be dispatched back to the coordinating process, where they may be printed to e.g. stdout and/or to a log file, depending on the verbosity settings the user chose.
Replay¶
We collect human-readable traces of the tests we run whenever the user
provides a log directory to run_tests()
. After the
tests run, we can pass the logs, log string, or Walk
to the replay
module to run an individual case.
Running a single Walk
:
import combtest.replay as replay
import combtest.walk as walk
import my_test
actions = [
my_test.ActionClass1(1),
my_test.ActionClass2(True),
my_test.SerialActionClass1("qqq"),
]
my_walk = walk.Walk(actions)
my_state = {"some": "stuff}
replay.replay_walk(my_walk, state=my_state)
Re-running a Walk
from a trace file:
# Suppose we run some tests, and some of them failed:
results = run_test(...)
# We can replay one of the failed tests from the trace logs:
my_state = {"some": "thing"}
replay.replay_walk_by_id(results.logs, results.failed_tests[17],
state=my_state)
You can actually run any Walk
from the trace, not
just failed Walks
. The second argument to
replay_walk_by_id()
is an integer identifier of
the Walk
, which can be found in the trace file.
Config¶
py-combtest
uses a minimalist config for parameterizing things like
thread counts and authentication information for machines where test
executors should run. The values can be set at runtime or by config
file.
By default, config
will look for a file called
combtest.cfg
in the current working directory and attempt to load it. It
could be used for example to specify the maximum number of worker threads the
test executors are allowed. When using SSH to bootstrap the test executors,
config
can be used to provide authentication information. Example file:
[NET]
rsakey: /path/to/my/rsakey/file
[WORKER]
max_thread_count: 10
The values can also be overridden programatically by the user:
import combtest.config as config
# Default port we will bind our rpyc instance to on a given machine. If we
# bind more than one on a given machine, this will be the first port, and
# all ports will be consecutive.
config.set_service_port(6009)


CSS is a language used to define how web pages will appear. It is a very powerful tool with which can add colors and other styles to the web page.
Jquery is a language used in web design. It has so many frameworks which enable developers to achieve their functionalities. One can develop a fully functional website using Jquery
A powerful language that can be used to add functionality to an HTML layout. Stands for Cascading Style Sheet


 My name is Anamika, and as the Chief Customer Officer at RTB Media, it’s my personal mission to help you acquire audience data to grow your business. By using a variety of data management platforms, we can help you mine potential customer data to streamline your online advertising.  All rights reserved.
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This is a heading in h1.
This is a paragraph in the paragraph tag. This page contains following tags:
html
head
body
title
h1
p
ul and li


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This is a test page. Lots will be added here as the JS libraries in the resource directory are built.
If this page doesn't list as `main.html` in dev.tools >> resources, then somethings wrong.


Useless sentences are the only thing that I left to say...
Yeah? Do you really think so?
..I mean....
"Have a great day"
..."no I didn't mean anything".
"Thank you, I am alright."
lol..I am like....
LOL..
"Oh, I think everyone is the same"
..Everyone is like that..
"Is a very nice day today"
.I have friends..
"I really like your work"
.Oh its totally fine..

.What can I do..
Hey how have you been? I really miss you
.I hope you feel better..
No, I am not mad. Of course.
.
Inspiration
These are the art work we get inspired.
Melissa Breyer
Photographer
Steve Cutts
Illustrator
Rachel Idzerda
Illustrator
-->
-->
Contact Us
Please let us know if you have any idea. 好坏没关系，语言也没关系
Faces
What do we see in the city.
"What do you prefer 'black and white' or color? And why?"
M:"Black and white is my default; I see compositions in tonal values and so black and white generally best conveys the initial perspective. But sometimes color clammors to play along too and when it does I may argue with it a bit, but I generally give in".
Website: www.melissabreyer.com
Social Media: www.facebook.com/melbreyer Read the full interview.
Treehouse is a free PSD web template built by Mathavan Jaya. This is bright and spacious design perfect for people or startup companies looking to showcase their apps or other projects.
You can download the PSD template in this portfolio sample item at FreebiesXpress.com.


The text fragment has now been completely revealed.
Thanks for all your work so far!
We have only a few more general questions left, before you can move on to a new fragment.
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#include <dr_defines.h>
Data Fields | |
| uint64 | u64 [2] |
| uint | u32 [4] |
| byte | u8 [16] |
| reg_t | reg [2] |
128-bit XMM register.
| reg_t _dr_xmm_t::reg[2] |
Representation as 2 or 4 registers.
| uint _dr_xmm_t::u32[4] |
Representation as 4 32-bit integers.
| uint64 _dr_xmm_t::u64[2] |
Representation as 2 64-bit integers.
| byte _dr_xmm_t::u8[16] |
Representation as 16 8-bit integers.


Node.js v0.10.7 Manual & Documentation
Table of Contents
- Assert
- assert.fail(actual, expected, message, operator)
- assert(value, message), assert.ok(value, [message])
- assert.equal(actual, expected, [message])
- assert.notEqual(actual, expected, [message])
- assert.deepEqual(actual, expected, [message])
- assert.notDeepEqual(actual, expected, [message])
- assert.strictEqual(actual, expected, [message])
- assert.notStrictEqual(actual, expected, [message])
- assert.throws(block, [error], [message])
- assert.doesNotThrow(block, [message])
- assert.ifError(value)
Assert#
Stability: 5 - Locked
This module is used for writing unit tests for your applications, you can
access it with require('assert')
.
assert.fail(actual, expected, message, operator)#
Throws an exception that displays the values for actual
and expected
separated by the provided operator.
assert(value, message), assert.ok(value, [message])#
Tests if value is truthy, it is equivalent to assert.equal(true, !!value, message);
assert.equal(actual, expected, [message])#
Tests shallow, coercive equality with the equal comparison operator ( ==
).
assert.notEqual(actual, expected, [message])#
Tests shallow, coercive non-equality with the not equal comparison operator ( !=
).
assert.deepEqual(actual, expected, [message])#
Tests for deep equality.
assert.notDeepEqual(actual, expected, [message])#
Tests for any deep inequality.
assert.strictEqual(actual, expected, [message])#
Tests strict equality, as determined by the strict equality operator ( ===
)
assert.notStrictEqual(actual, expected, [message])#
Tests strict non-equality, as determined by the strict not equal operator ( !==
)
assert.throws(block, [error], [message])#
Expects block
to throw an error. error
can be constructor, regexp or
validation function.
Validate instanceof using constructor:
assert.throws(
function() {
throw new Error("Wrong value");
},
Error
);
Validate error message using RegExp:
assert.throws(
function() {
throw new Error("Wrong value");
},
/value/
);
Custom error validation:
assert.throws(
function() {
throw new Error("Wrong value");
},
function(err) {
if ( (err instanceof Error) && /value/.test(err) ) {
return true;
}
},
"unexpected error"
);
assert.doesNotThrow(block, [message])#
Expects block
not to throw an error, see assert.throws for details.
assert.ifError(value)#
Tests if value is not a false value, throws if it is a true value. Useful when
testing the first argument, error
in callbacks.


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This is a basic skeleton UI sample
Slide 1
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Monday
Tuesday
Wednesday
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Morning
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Last Name
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home / smartphones / One Plus 9
| Producer: | One Plus |
|---|---|
| Type: | Smartphone |
| Installed Os: | Android 11 (OxygenOS 11) |
| RAM: | 8GB |
| Capacity: | 256GB |
| Processor: | Qualcomm Snapdragon 888 + Adreno 660 |
| Cores: | 8 |
| Weight: | 197 grams |
| Display: | 6.7 inch, OLED 525 ppi |
| Sim-Cards: | 2 Nano-SIM |
| Battery: | Li-ion, 4.500mAh |
| Cameras: | 48 MP + 8 MP + 50 MP + 2 MP |
899$


{% extends "index/base.html" %} {% load static %} {% block title_name %}
This is National Tsing Hua University Online Judge, an ACM-like online judge designed for training purposes and a platform of contest. You may utilize this site by the links on the side bar and top-right corner. Each of them will redirect you to a page with the following functions.
{{ announcement.content|urlize|linebreaksbr }} |
{% if user.has_admin_auth %}
{% endif %} |
| Register | Contest name | Remaining time | Upcoming | |||
|---|---|---|---|---|---|---|
| {{ c_running.id }} - {{ c_running.cname }} | {{ c_running.end_time|date:"Y/m/d H:i:s" }} | {{ c_running.id }} | {{ c_running.freeze_time }} | |||
| {% if user|can_register:c_upcoming and not user|has_attended:c_upcoming %} {% elif user|has_attended:c_upcoming %} {% else %} {% endif %} | {% if user|has_auth:c_upcoming.id or user.has_admin_auth %} {{ c_upcoming.id }} - {{ c_upcoming.cname }} {% else %} {{ c_upcoming.id }} - {{ c_upcoming.cname }} {% endif %} | {{ c_upcoming.start_time|date:"Y/m/d H:i:s" }} |


The Nike React Element 55 Gets Padded With Quilted Grids
Offered in two colorways.
by Sophie CaraanWith the success of Kendrick Lamar‘s React Element 55 “KL,” Nike is offering two new variations for the silhouette’s growing line. Offered in hues of silver and black, the latest additions swap the traditional, one-dimension synthetic upper with all-over quilted grids, adding an extra layer of both physical and visual textures. Contrasting hits of black and darker metallic shades can be found on the silver iteration’s panel swoosh, tongue, eyestays and heel, while the black model opts for only a soft blue-gray touch on the panel check. Both options rest on speckled sole units and are finally tied together with tonal laces for a clean finish.
The Nike React Element 55 is available now on nike.com/jp for approximately $140 USD each.
In other footwear news, another pair of the ultra-rare Nike “Moon Shoe” is currently auctioning for $100,000 USD.
Nike React Element 55
Release Date
November 21, 2019 - 2:42 pm EST (TBC)
Price
140 USD


MapleTA Gradesheet Converter
Instructions
Upload to this application the CSV file from MapleTA. Once uploaded, follow the instructions below.
1. Click 'Choose File' to read file
Or
Drop CSV here
2. Answer these Questions
3. Click Go to convert the CSV sheet.
If you have a feature request or need to report a bug, please click here


CFP Portal Engine
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To use a filter in one of your sortable-table templates, it must be registered into the PolymerExpressions scope, which is accessible after polymer has loaded:
If a filter is being used in a rowTemplate
or rowEditorTemplate
and references more than one field, it might be useful to pass the row
as an argument:
{{ record.row | myFilter }}
however, this won't automatically observe the individual fields of the row
. To tell polymer to watch individual fields, they must all be sent as optional parameters:
{{ record.row | myFilter(record.row.myField1, record.row.myField2) }}
The added benefit is that the function can be reused in rowTemplate
s and as a column.formula
:


Class MiddlewareFactory
Marshal middleware for use in the application.
This class provides a number of methods for preparing and returning middleware for use within an application.
If any middleware provided is already a MiddlewareInterface, it can be used verbatim or decorated as-is. Other middleware types acceptable are:
Additionally, the class provides the following decorator/utility methods:
| package |
LightMVC/ASCMVC |
|---|
__construct(\Pimple\Container $container)
\Pimple\Container
callableMiddleware(callable $middleware) : \Laminas\Stratigility\Middleware\CallableMiddlewareDecorator
callable
\Laminas\Stratigility\Middleware\CallableMiddlewareDecorator
handlerMiddleware(\Psr\Http\Server\RequestHandlerInterface $handler) : \Laminas\Stratigility\Middleware\RequestHandlerMiddleware
\Psr\Http\Server\RequestHandlerInterface
\Laminas\Stratigility\Middleware\RequestHandlerMiddleware
lazyMiddleware(string $middleware) : \Ascmvc\Middleware\LazyLoadingMiddleware
pipeline(string|array|\Laminas\Stratigility\MiddlewarePipe $middleware) : \Laminas\Stratigility\MiddlewarePipe
This method allows passing an array of middleware as either:
Each item is passed to prepare() before being passed to the MiddlewarePipe instance the method returns.
| Throws |
|
|---|
string|array|\Laminas\Stratigility\MiddlewarePipe
\Laminas\Stratigility\MiddlewarePipe
prepare(string|array|callable|\Psr\Http\Server\MiddlewareInterface|\Psr\Http\Server\RequestHandlerInterface $middleware) : \Psr\Http\Server\MiddlewareInterface
| Throws |
|
|---|
string|array|callable|\Psr\Http\Server\MiddlewareInterface|\Psr\Http\Server\RequestHandlerInterface
\Psr\Http\Server\MiddlewareInterface
container : \Pimple\Container
| var |
|---|
\Pimple\Container


| Created: | 6/26/2020 3:15:24 PM |
| Modified: | 6/26/2020 3:15:24 PM |
| Project: | |
| Advanced: |
| Attribute |
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Public bigint account_id |
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Details:
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Public varchar(255) account_number |
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Details:
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Public varchar(255) account_description |
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Details:
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Public timestamp with time zone(0) start_date |
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Details:
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Public timestamp with time zone(0) end_date |
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Details:
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Public varchar(255) created_by |
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Details:
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Public varchar(255) updated_by |
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Details:
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Public timestamp with time zone(0) created_at |
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Details:
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Public timestamp with time zone(0) updated_at |
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Details:
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Public bigserial id |
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Details:
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Public jsonb ods_meta |
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Details:
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Public integer ods_version |
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Details:
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Public varchar(255) ods_created_by |
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Details:
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Public timestamp with time zone(0) ods_created_at |
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Details:
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| Operation | ||
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Public accounts_pkey( id: bigserial, |
||
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Details:
<<PK>>
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| Tag | Value |
| Owner | public |
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Details:
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| Property | Value |
| isFinalSpecialization: | 0 |
| Object | Type | Connection | Direction | Notes |
| «view» current_accounts_view | View | Dependency | From | |
| «view» current_accounts_view | View | Dependency | From |


Our Lord tmux
Tmux for people who would rather stay sane
It's dangerous to go alone, select some of these
Enable mouse
Use zsh instead of bash
Usual commands work again (e.g. Jump words with C-arrow)
Reload config file
Switch panes using Alt-arrow without prefix
Automatically re-number windows after one of them is closed
Monitor window activity. Windows with activity are highlighted in the status line
Enable 256 colors in the terminal emulator
Shift arrow to switch windows
Increase the scrollback history limit to make Tmux panes remember more lines
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This connector provides access to event streams served by Apache Kafka.
Flink provides special Kafka Connectors for reading and writing data from/to Kafka topics. The Flink Kafka Consumer integrates with Flink’s checkpointing mechanism to provide exactly-once processing semantics. To achieve that, Flink does not purely rely on Kafka’s consumer group offset tracking, but tracks and checkpoints these offsets internally as well.
Please pick a package (maven artifact id) and class name for your use-case and environment.
For most users, the FlinkKafkaConsumer08
(part of flink-connector-kafka
) is appropriate.
| Maven Dependency | Supported since | Consumer and Producer Class name |
Kafka version | Notes |
|---|---|---|---|---|
| flink-connector-kafka-0.8_2.11 | 1.0.0 | FlinkKafkaConsumer08 FlinkKafkaProducer08 |
0.8.x | Uses the SimpleConsumer API of Kafka internally. Offsets are committed to ZK by Flink. |
| flink-connector-kafka-0.9_2.11 | 1.0.0 | FlinkKafkaConsumer09 FlinkKafkaProducer09 |
0.9.x | Uses the new Consumer API Kafka. |
| flink-connector-kafka-0.10_2.11 | 1.2.0 | FlinkKafkaConsumer010 FlinkKafkaProducer010 |
0.10.x | This connector supports Kafka messages with timestamps both for producing and consuming. |
| flink-connector-kafka-0.11_2.11 | 1.4.0 | FlinkKafkaConsumer011 FlinkKafkaProducer011 |
0.11.x | Since 0.11.x Kafka does not support scala 2.10. This connector supports Kafka transactional messaging to provide exactly once semantic for the producer. |
| flink-connector-kafka_2.11 | 1.7.0 | FlinkKafkaConsumer FlinkKafkaProducer |
>= 1.0.0 |
This universal Kafka connector attempts to track the latest version of the Kafka client.
The version of the client it uses may change between Flink releases.
Modern Kafka clients are backwards compatible with broker versions 0.10.0 or later.
However for Kafka 0.11.x and 0.10.x versions, we recommend using dedicated
flink-connector-kafka-0.11_2.11 and flink-connector-kafka-0.10_2.11 respectively.
Attention: as of Flink 1.7 the universal Kafka connector is considered to be
in a BETA status and might not be as stable as the 0.11 connector.
In case of problems with the universal connector, you can try to use flink-connector-kafka-0.11_2.11
which should be compatible with all of the Kafka versions starting from 0.11.
|
Then, import the connector in your maven project:
Note that the streaming connectors are currently not part of the binary distribution. See how to link with them for cluster execution here.
advertised.host.name
setting in the config/server.properties
file must be set to the machine’s IP address.Starting with Flink 1.7, there is a new universal Kafka connector that does not track a specific Kafka major version. Rather, it tracks the latest version of Kafka at the time of the Flink release.
If your Kafka broker version is 1.0.0 or newer, you should use this Kafka connector. If you use an older version of Kafka (0.11, 0.10, 0.9, or 0.8), you should use the connector corresponding to the broker version.
The universal Kafka connector is compatible with older and newer Kafka brokers through the compatibility guarantees of the Kafka client API and broker. It is compatible with broker versions 0.11.0 or newer, depending on the features used. For details on Kafka compatibility, please refer to the Kafka documentation.
To use the universal Kafka connector add a dependency to it:
Then instantiate the new source (FlinkKafkaConsumer
) and sink (FlinkKafkaProducer
).
The API is backward compatible with the Kafka 0.11 connector,
except of dropping specific Kafka version from the module and class names.
Flink’s Kafka consumer is called FlinkKafkaConsumer08
(or 09 for Kafka 0.9.0.x versions, etc.
or just FlinkKafkaConsumer
for Kafka >= 1.0.0 versions). It provides access to one or more Kafka topics.
The constructor accepts the following arguments:
Example:
DeserializationSchema
The Flink Kafka Consumer needs to know how to turn the binary data in Kafka into Java/Scala objects. The
DeserializationSchema
allows users to specify such a schema. The T deserialize(byte[] message)
method gets called for each Kafka message, passing the value from Kafka.
It is usually helpful to start from the AbstractDeserializationSchema
, which takes care of describing the
produced Java/Scala type to Flink’s type system. Users that implement a vanilla DeserializationSchema
need
to implement the getProducedType(...)
method themselves.
For accessing both the key and value of the Kafka message, the KeyedDeserializationSchema
has
the following deserialize method ` T deserialize(byte[] messageKey, byte[] message, String topic, int partition, long offset)`.
For convenience, Flink provides the following schemas:
TypeInformationSerializationSchema
(and TypeInformationKeyValueSerializationSchema
) which creates
a schema based on a Flink’s TypeInformation
. This is useful if the data is both written and read by Flink.
This schema is a performant Flink-specific alternative to other generic serialization approaches.
JsonDeserializationSchema
(and JSONKeyValueDeserializationSchema
) which turns the serialized JSON
into an ObjectNode object, from which fields can be accessed using objectNode.get(“field”).as(Int/String/…)().
The KeyValue objectNode contains a “key” and “value” field which contain all fields, as well as
an optional “metadata” field that exposes the offset/partition/topic for this message.
AvroDeserializationSchema
which reads data serialized with Avro format using a statically provided schema. It can
infer the schema from Avro generated classes (AvroDeserializationSchema.forSpecific(...)
) or it can work with GenericRecords
with a manually provided schema (with AvroDeserializationSchema.forGeneric(...)
). This deserialization schema expects that
the serialized records DO NOT contain embedded schema.
ConfluentRegistryAvroDeserializationSchema.forGeneric(...)
or ConfluentRegistryAvroDeserializationSchema.forSpecific(...)
).
To use this deserialization schema one has to add the following additional dependency:
When encountering a corrupted message that cannot be deserialized for any reason, there
are two options - either throwing an exception from the deserialize(...)
method
which will cause the job to fail and be restarted, or returning null
to allow
the Flink Kafka consumer to silently skip the corrupted message. Note that
due to the consumer’s fault tolerance (see below sections for more details),
failing the job on the corrupted message will let the consumer attempt
to deserialize the message again. Therefore, if deserialization still fails, the
consumer will fall into a non-stop restart and fail loop on that corrupted
message.
The Flink Kafka Consumer allows configuring how the start position for Kafka partitions are determined.
Example:
All versions of the Flink Kafka Consumer have the above explicit configuration methods for start position.
setStartFromGroupOffsets
(default behaviour): Start reading partitions from
the consumer group’s (group.id
setting in the consumer properties) committed
offsets in Kafka brokers (or Zookeeper for Kafka 0.8). If offsets could not be
found for a partition, the auto.offset.reset
setting in the properties will be used.setStartFromEarliest()
/ setStartFromLatest()
: Start from the earliest / latest
record. Under these modes, committed offsets in Kafka will be ignored and
not used as starting positions.setStartFromTimestamp(long)
: Start from the specified timestamp. For each partition, the record
whose timestamp is larger than or equal to the specified timestamp will be used as the start position.
If a partition’s latest record is earlier than the timestamp, the partition will simply be read
from the latest record. Under this mode, committed offsets in Kafka will be ignored and not used as
starting positions.You can also specify the exact offsets the consumer should start from for each partition:
The above example configures the consumer to start from the specified offsets for
partitions 0, 1, and 2 of topic myTopic
. The offset values should be the
next record that the consumer should read for each partition. Note that
if the consumer needs to read a partition which does not have a specified
offset within the provided offsets map, it will fallback to the default
group offsets behaviour (i.e. setStartFromGroupOffsets()
) for that
particular partition.
Note that these start position configuration methods do not affect the start position when the job is automatically restored from a failure or manually restored using a savepoint. On restore, the start position of each Kafka partition is determined by the offsets stored in the savepoint or checkpoint (please see the next section for information about checkpointing to enable fault tolerance for the consumer).
With Flink’s checkpointing enabled, the Flink Kafka Consumer will consume records from a topic and periodically checkpoint all its Kafka offsets, together with the state of other operations, in a consistent manner. In case of a job failure, Flink will restore the streaming program to the state of the latest checkpoint and re-consume the records from Kafka, starting from the offsets that were stored in the checkpoint.
The interval of drawing checkpoints therefore defines how much the program may have to go back at most, in case of a failure.
To use fault tolerant Kafka Consumers, checkpointing of the topology needs to be enabled at the execution environment:
Also note that Flink can only restart the topology if enough processing slots are available to restart the topology. So if the topology fails due to loss of a TaskManager, there must still be enough slots available afterwards. Flink on YARN supports automatic restart of lost YARN containers.
If checkpointing is not enabled, the Kafka consumer will periodically commit the offsets to Zookeeper.
The Flink Kafka Consumer supports discovering dynamically created Kafka partitions, and consumes them with exactly-once guarantees. All partitions discovered after the initial retrieval of partition metadata (i.e., when the job starts running) will be consumed from the earliest possible offset.
By default, partition discovery is disabled. To enable it, set a non-negative value
for flink.partition-discovery.interval-millis
in the provided properties config,
representing the discovery interval in milliseconds.
Limitation When the consumer is restored from a savepoint from Flink versions prior to Flink 1.3.x, partition discovery cannot be enabled on the restore run. If enabled, the restore would fail with an exception. In this case, in order to use partition discovery, please first take a savepoint in Flink 1.3.x and then restore again from that.
At a higher-level, the Flink Kafka Consumer is also capable of discovering topics, based on pattern matching on the topic names using regular expressions. See the below for an example:
In the above example, all topics with names that match the specified regular expression
(starting with test-topic-
and ending with a single digit) will be subscribed by the consumer
when the job starts running.
To allow the consumer to discover dynamically created topics after the job started running,
set a non-negative value for flink.partition-discovery.interval-millis
. This allows
the consumer to discover partitions of new topics with names that also match the specified
pattern.
The Flink Kafka Consumer allows configuring the behaviour of how offsets are committed back to Kafka brokers (or Zookeeper in 0.8). Note that the Flink Kafka Consumer does not rely on the committed offsets for fault tolerance guarantees. The committed offsets are only a means to expose the consumer’s progress for monitoring purposes.
The way to configure offset commit behaviour is different, depending on whether or not checkpointing is enabled for the job.
Checkpointing disabled: if checkpointing is disabled, the Flink Kafka
Consumer relies on the automatic periodic offset committing capability
of the internally used Kafka clients. Therefore, to disable or enable offset
committing, simply set the enable.auto.commit
(or auto.commit.enable
for Kafka 0.8) / auto.commit.interval.ms
keys to appropriate values
in the provided Properties
configuration.
Checkpointing enabled: if checkpointing is enabled, the Flink Kafka
Consumer will commit the offsets stored in the checkpointed states when
the checkpoints are completed. This ensures that the committed offsets
in Kafka brokers is consistent with the offsets in the checkpointed states.
Users can choose to disable or enable offset committing by calling the
setCommitOffsetsOnCheckpoints(boolean)
method on the consumer (by default,
the behaviour is true
).
Note that in this scenario, the automatic periodic offset committing
settings in Properties
is completely ignored.
In many scenarios, the timestamp of a record is embedded (explicitly or implicitly) in the record itself.
In addition, the user may want to emit watermarks either periodically, or in an irregular fashion, e.g. based on
special records in the Kafka stream that contain the current event-time watermark. For these cases, the Flink Kafka
Consumer allows the specification of an AssignerWithPeriodicWatermarks
or an AssignerWithPunctuatedWatermarks
.
You can specify your custom timestamp extractor/watermark emitter as described here, or use one from the predefined ones. After doing so, you can pass it to your consumer in the following way:
Internally, an instance of the assigner is executed per Kafka partition.
When such an assigner is specified, for each record read from Kafka, the
extractTimestamp(T element, long previousElementTimestamp)
is called to assign a timestamp to the record and
the Watermark getCurrentWatermark()
(for periodic) or the
Watermark checkAndGetNextWatermark(T lastElement, long extractedTimestamp)
(for punctuated) is called to determine
if a new watermark should be emitted and with which timestamp.
Note: If a watermark assigner depends on records read from Kafka to advance its watermarks (which is commonly the case), all topics and partitions need to have a continuous stream of records. Otherwise, the watermarks of the whole application cannot advance and all time-based operations, such as time windows or functions with timers, cannot make progress. A single idle Kafka partition causes this behavior. A Flink improvement is planned to prevent this from happening (see FLINK-5479: Per-partition watermarks in FlinkKafkaConsumer should consider idle partitions). In the meanwhile, a possible workaround is to send heartbeat messages to all consumed partitions that advance the watermarks of idle partitions.
Flink’s Kafka Producer is called FlinkKafkaProducer011
(or 010
for Kafka 0.10.0.x versions, etc. or just FlinkKafkaProducer
for Kafka >= 1.0.0 versions).
It allows writing a stream of records to one or more Kafka topics.
Example:
The above examples demonstrate the basic usage of creating a Flink Kafka Producer to write streams to a single Kafka target topic. For more advanced usages, there are other constructor variants that allow providing the following:
KafkaProducer
.
Please refer to the Apache Kafka documentation for
details on how to configure Kafka Producers.FlinkKafkaPartitioner
to the
constructor. This partitioner will be called for each record in the stream
to determine which exact partition of the target topic the record should be sent to.
Please see Kafka Producer Partitioning Scheme for more details.KeyedSerializationSchema
,
which allows serializing the key and value separately. It also allows to override the target topic,
so that one producer instance can send data to multiple topics.By default, if a custom partitioner is not specified for the Flink Kafka Producer, the producer will use
a FlinkFixedPartitioner
that maps each Flink Kafka Producer parallel subtask to a single Kafka partition
(i.e., all records received by a sink subtask will end up in the same Kafka partition).
A custom partitioner can be implemented by extending the FlinkKafkaPartitioner
class. All
Kafka versions’ constructors allow providing a custom partitioner when instantiating the producer.
Note that the partitioner implementation must be serializable, as they will be transferred across Flink nodes.
Also, keep in mind that any state in the partitioner will be lost on job failures since the partitioner
is not part of the producer’s checkpointed state.
It is also possible to completely avoid using and kind of partitioner, and simply let Kafka partition
the written records by their attached key (as determined for each record using the provided serialization schema).
To do this, provide a null
custom partitioner when instantiating the producer. It is important
to provide null
as the custom partitioner; as explained above, if a custom partitioner is not specified
the FlinkFixedPartitioner
is used instead.
Before 0.9 Kafka did not provide any mechanisms to guarantee at-least-once or exactly-once semantics.
With Flink’s checkpointing enabled, the FlinkKafkaProducer09
and FlinkKafkaProducer010
can provide at-least-once delivery guarantees.
Besides enabling Flink’s checkpointing, you should also configure the setter
methods setLogFailuresOnly(boolean)
and setFlushOnCheckpoint(boolean)
appropriately.
setLogFailuresOnly(boolean)
: by default, this is set to false
.
Enabling this will let the producer only log failures
instead of catching and rethrowing them. This essentially accounts the record
to have succeeded, even if it was never written to the target Kafka topic. This
must be disabled for at-least-once.setFlushOnCheckpoint(boolean)
: by default, this is set to true
.
With this enabled, Flink’s checkpoints will wait for any
on-the-fly records at the time of the checkpoint to be acknowledged by Kafka before
succeeding the checkpoint. This ensures that all records before the checkpoint have
been written to Kafka. This must be enabled for at-least-once.In conclusion, the Kafka producer by default has at-least-once guarantees for versions
0.9 and 0.10, with setLogFailureOnly
set to false
and setFlushOnCheckpoint
set
to true
.
Note: By default, the number of retries is set to “0”. This means that when setLogFailuresOnly
is set to false
,
the producer fails immediately on errors, including leader changes. The value is set to “0” by default to avoid
duplicate messages in the target topic that are caused by retries. For most production environments with frequent broker changes,
we recommend setting the number of retries to a higher value.
Note: There is currently no transactional producer for Kafka, so Flink can not guarantee exactly-once delivery into a Kafka topic.
With Flink’s checkpointing enabled, the FlinkKafkaProducer011
(FlinkKafkaProducer
for Kafka >= 1.0.0 versions) can provide
exactly-once delivery guarantees.
Besides enabling Flink’s checkpointing, you can also choose three different modes of operating
chosen by passing appropriate semantic
parameter to the FlinkKafkaProducer011
(FlinkKafkaProducer
for Kafka >= 1.0.0 versions):
Semantic.NONE
: Flink will not guarantee anything. Produced records can be lost or they can
be duplicated.Semantic.AT_LEAST_ONCE
(default setting): similar to setFlushOnCheckpoint(true)
in
FlinkKafkaProducer010
. This guarantees that no records will be lost (although they can be duplicated).Semantic.EXACTLY_ONCE
: uses Kafka transactions to provide exactly-once semantic. Whenever you write
to Kafka using transactions, do not forget about setting desired isolation.level
(read_committed
or read_uncommitted
- the latter one is the default value) for any application consuming records
from Kafka.Semantic.EXACTLY_ONCE
mode relies on the ability to commit transactions
that were started before taking a checkpoint, after recovering from the said checkpoint. If the time
between Flink application crash and completed restart is larger then Kafka’s transaction timeout
there will be data loss (Kafka will automatically abort transactions that exceeded timeout time).
Having this in mind, please configure your transaction timeout appropriately to your expected down
times.
Kafka brokers by default have transaction.max.timeout.ms
set to 15 minutes. This property will
not allow to set transaction timeouts for the producers larger then it’s value.
FlinkKafkaProducer011
by default sets the transaction.timeout.ms
property in producer config to
1 hour, thus transaction.max.timeout.ms
should be increased before using the
Semantic.EXACTLY_ONCE
mode.
In read_committed
mode of KafkaConsumer
, any transactions that were not finished
(neither aborted nor completed) will block all reads from the given Kafka topic past any
un-finished transaction. In other words after following sequence of events:
transaction1
and written some records using ittransaction2
and written some further records using ittransaction2
Even if records from transaction2
are already committed, they will not be visible to
the consumers until transaction1
is committed or aborted. This has two implications:
Note: Semantic.EXACTLY_ONCE
mode uses a fixed size pool of KafkaProducers
per each FlinkKafkaProducer011
instance. One of each of those producers is used per one
checkpoint. If the number of concurrent checkpoints exceeds the pool size, FlinkKafkaProducer011
will throw an exception and will fail the whole application. Please configure max pool size and max
number of concurrent checkpoints accordingly.
Note: Semantic.EXACTLY_ONCE
takes all possible measures to not leave any lingering transactions
that would block the consumers from reading from Kafka topic more then it is necessary. However in the
event of failure of Flink application before first checkpoint, after restarting such application there
is no information in the system about previous pool sizes. Thus it is unsafe to scale down Flink
application before first checkpoint completes, by factor larger then FlinkKafkaProducer011.SAFE_SCALE_DOWN_FACTOR
.
Since Apache Kafka 0.10+, Kafka’s messages can carry timestamps, indicating the time the event has occurred (see “event time” in Apache Flink) or the time when the message has been written to the Kafka broker.
The FlinkKafkaConsumer010
will emit records with the timestamp attached, if the time characteristic in Flink is
set to TimeCharacteristic.EventTime
(StreamExecutionEnvironment.setStreamTimeCharacteristic(TimeCharacteristic.EventTime)
).
The Kafka consumer does not emit watermarks. To emit watermarks, the same mechanisms as described above in
“Kafka Consumers and Timestamp Extraction/Watermark Emission” using the assignTimestampsAndWatermarks
method are applicable.
There is no need to define a timestamp extractor when using the timestamps from Kafka. The previousElementTimestamp
argument of
the extractTimestamp()
method contains the timestamp carried by the Kafka message.
A timestamp extractor for a Kafka consumer would look like this:
The FlinkKafkaProducer010
only emits the record timestamp, if setWriteTimestampToKafka(true)
is set.
Flink’s Kafka connectors provide some metrics through Flink’s metrics system to analyze the behavior of the connector. The producers export Kafka’s internal metrics through Flink’s metric system for all supported versions. The consumers export all metrics starting from Kafka version 0.9. The Kafka documentation lists all exported metrics in its documentation.
In addition to these metrics, all consumers expose the current-offsets
and committed-offsets
for each topic partition.
The current-offsets
refers to the current offset in the partition. This refers to the offset of the last element that
we retrieved and emitted successfully. The committed-offsets
is the last committed offset.
The Kafka Consumers in Flink commit the offsets back to Zookeeper (Kafka 0.8) or the Kafka brokers (Kafka 0.9+). If checkpointing is disabled, offsets are committed periodically. With checkpointing, the commit happens once all operators in the streaming topology have confirmed that they’ve created a checkpoint of their state. This provides users with at-least-once semantics for the offsets committed to Zookeeper or the broker. For offsets checkpointed to Flink, the system provides exactly once guarantees.
The offsets committed to ZK or the broker can also be used to track the read progress of the Kafka consumer. The difference between the committed offset and the most recent offset in each partition is called the consumer lag. If the Flink topology is consuming the data slower from the topic than new data is added, the lag will increase and the consumer will fall behind. For large production deployments we recommend monitoring that metric to avoid increasing latency.
Flink provides first-class support through the Kafka connector to authenticate to a Kafka installation
configured for Kerberos. Simply configure Flink in flink-conf.yaml
to enable Kerberos authentication for Kafka like so:
security.kerberos.login.use-ticket-cache
: By default, this is true
and Flink will attempt to use Kerberos credentials in ticket caches managed by kinit
.
Note that when using the Kafka connector in Flink jobs deployed on YARN, Kerberos authorization using ticket caches will not work.
This is also the case when deploying using Mesos, as authorization using ticket cache is not supported for Mesos deployments.security.kerberos.login.keytab
and security.kerberos.login.principal
: To use Kerberos keytabs instead, set values for both of these properties.KafkaClient
to security.kerberos.login.contexts
: This tells Flink to provide the configured Kerberos credentials to the Kafka login context to be used for Kafka authentication.Once Kerberos-based Flink security is enabled, you can authenticate to Kafka with either the Flink Kafka Consumer or Producer by simply including the following two settings in the provided properties configuration that is passed to the internal Kafka client:
security.protocol
to SASL_PLAINTEXT
(default NONE
): The protocol used to communicate to Kafka brokers.
When using standalone Flink deployment, you can also use SASL_SSL
; please see how to configure the Kafka client for SSL here.sasl.kerberos.service.name
to kafka
(default kafka
): The value for this should match the sasl.kerberos.service.name
used for Kafka broker configurations.
A mismatch in service name between client and server configuration will cause the authentication to fail.For more information on Flink configuration for Kerberos security, please see here. You can also find here further details on how Flink internally setups Kerberos-based security.
Depending on your Kafka configuration, even after Kafka acknowledges writes you can still experience data loss. In particular keep in mind about the following properties in Kafka config:
acks
log.flush.interval.messages
log.flush.interval.ms
log.flush.*
Default values for the above options can easily lead to data loss. Please refer to the Kafka documentation for more explanation.
One possible cause of this error is when a new leader election is taking place,
for example after or during restarting a Kafka broker.
This is a retriable exception, so Flink job should be able to restart and resume normal operation.
It also can be circumvented by changing retries
property in the producer settings.
However this might cause reordering of messages,
which in turn if undesired can be circumvented by setting max.in.flight.requests.per.connection
to 1.


Quantile regression in varying-coefficient models (VCM) using one particular nonparametric technique called P-splines. The functions can be applied on three types of VCM; (1) Homoscedastic VCM, (2) Simple heteroscedastic VCM, and (3) General heteroscedastic VCM.
| Version: | 1.2 |
| Depends: | R (≥ 3.4.0), quantreg, SparseM, truncSP |
| Published: | 2018-03-16 |
| Author: | 'Andriyana, Y.' [aut, cre], 'Ibrahim M. A.' [aut], 'Gijbels, I.' [ctb], 'Verhasselt A.' [ctb] |
| Maintainer: | "Andriyana.Y" <y.andriyana at unpad.ac.id> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | QRegVCM results |
| Reference manual: | QRegVCM.pdf |
| Package source: | QRegVCM_1.2.tar.gz |
| Windows binaries: | r-devel: QRegVCM_1.2.zip, r-release: QRegVCM_1.2.zip, r-oldrel: QRegVCM_1.2.zip |
| OS X binaries: | r-release: QRegVCM_1.2.tgz, r-oldrel: QRegVCM_1.2.tgz |
| Old sources: | QRegVCM archive |
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| autocorr {coda} | R Documentation |
autocorr
calculates the autocorrelation function for the
Markov chain mcmc.obj
at the lags given by lags
.
The lag values are taken to be relative to the thinning interval
if relative=TRUE
.
High autocorrelations within chains indicate slow mixing and, usually, slow convergence. It may be useful to thin out a chain with high autocorrelations before calculating summary statistics: a thinned chain may contain most of the information, but take up less space in memory. Re-running the MCMC sampler with a different parameterization may help to reduce autocorrelation.
autocorr(x, lags = c(0, 1, 5, 10, 50), relative=TRUE)
x |
an mcmc object |
lags |
a vector of lags at which to calculate the autocorrelation |
relative |
a logical flag. TRUE if lags are relative to the thinning interval of the chain, or FALSE if they are absolute difference in iteration numbers |
A vector or array containing the autocorrelations.
Martyn Plummer


Yauwza Magruder
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Do you like Sci-Fi? While I finish up my next novel, I have started an online fiction series called Forbearance. Picking up from the canteen scene in Bellicose, we meet Keius Minjen, a postal marine, as he tries to survive the battle planet Guna to exact revenge and one day liberate his homeland.
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The Birth
As a scholar gifted in the exploration of history, I find it difficult to speak of a luminary in our day. However, the great “bothan” proverb says: “Great generals must keep a journal of their exploits for when they have gone one before us it will be the only thing to defend themselves from the backbiting of historians.” (I have always thought it odd how a proverb could be so specific.)
Yauwza Magruder was perhaps the only “ethical” creation of Woth of Voushniya. Even as her mind concoted more bizarre and cruel beings, Yauwza was created. I could say born, although Yauwza never experienced normal birth. How can one, when there is no father?
Magruder survived the sterilization of Voushniya because he was ferried off the world as soon after his creation as he could travel.  During those years he grew powerful in mind, tall in stature, though always somewhat like his mother. Eventually he was hidden among Kuberists who taught him the darker path of their faith. The Muridians, while still peaceful, taught that peace was only waiting for the time to purify.
The Transfiguration
Some say he birthed the Muridian Avengers.  Many of his escorts had fled in different directions with the hope of confusing the squad. However, he was the last of Woth’s Diaspora, the Empire bent itself to rid themselves of him. He had taken to pretend to be an escort himself. What he did not know is that the squads typically eliminated all escorts upon capture. However, a life in flight taught him to survive and helped him master guile. He was able to escape and when the squad “killed” Magruder (really his last escort), he was well on his way to another system. The Empire lauded his death for they were finally free of fear that Woth’s creations would haunt the Empire.
However, a dead man still living is very much a ghost. He took with him the half-teachings of the Kuberian Movement with the Muridian sectarianism. He was charismatic and quickly fell in with the organized crime in his newly adopted city. He became their spiritual advisor and taught them that they were the Reborn of Muridia. As the Reborn, they were to help purge the Empire of its atheistic element. Those few he converted quickly rose to power within the criminal organizations and began the purge by wiping out rival gangs. In time, the Reborn controlled all crime in the system.
The Journey
However, the Empire was not totally unaware of these developments. The system was not remote enough that the purging was not seen. The Imperial government assumed, however, that the purge was a temporary condition and that criminals would return to being just criminal. By the time the full truth of the purge was known, the system was lost. The Reborn had seized the government and controlled enough combat ships to be nearly impossible to defeat. Their missionaries had travelled to other systems and began to “convert” the criminal element there.
Only during the Hundred Bloody Days did it appear that the Empire cared about the Reborn. The Empire launched a massive reprisal against the Reborn and it was during this time that the true nature of their cryptic Elder was known. Although he did not wield direct power, Magruder was the supreme religious figure to the Reborn. In response to the genocidal attack by the Empire, the Reborn fled throughout the Empire and became the Muridian Avengers.
It is well-known that Magruder lives, though he should have died long before. There are those who believe that Woth created a perfect man–one who would be untouched by disease. What she unleashed was a cunning, dangerous man who has contributed to the disassociation of several systems already. We are fading again into the darkness of space. Fortunately, many of my peers strive to finish this Macropedia and establish a hidden library, the Canticle Of Hope.
The Empire is dying, long live the Empire.
References
- Canticle Of Hope
- Hundred Bloody Days
- Kuberian Movement
- Woth of Voushniya


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Obsessed With Joshua Bassett's Solo on the HSM Series? Watch the Rest of His Singing Videos
by Kelsie GibsonThe cast of Disney+'s High School Musical: The Musical: The Series is insanely talented, and Joshua Bassett is no exception. From the very first moment the 18-year-old sings "I Think I Kinda, You Know" during auditions in the first episode, you can tell he's truly Troy Bolton 2.0.
While we can't wait to hear his renditions of classic High School Musical songs on the series, Bassett also has quite a few original songs of his own. When he's not filming, the young actor is giving glimpses of his music on social media. In fact, he actually wrote an original song with his costar Olivia Rodrigo for the series. Watch his best performances, on and offscreen, ahead.
Joshua Bassett Singing "Common Sense"
A post shared by Joshua (@joshuatbassett) on Jul 2, 2018 at 11:40am PDT
Joshua Bassett Singing "I Think I Kinda, You Know" From HSMTMTS
Joshua Bassett Singing "Breaking Free" From High School Musical
Joshua Bassett Singing "I Know (Lie Lie Lie)"
I Know (Lie Lie Lie) -written by me-
A post shared by Joshua (@joshuatbassett) on Nov 7, 2019 at 11:37am PST
Joshua Bassett Singing "Can't Take My Eyes off You" by Frankie Valli
Joshua Bassett Singing "Not Right Now"
A post shared by Joshua (@joshuatbassett) on Nov 9, 2019 at 10:58am PST