Coverage Summary for Class: MultiPointerGestureDetector (com.facebook.samples.gestures)
| Class | Class, % | Method, % | Line, % |
|---|---|---|---|
| MultiPointerGestureDetector | 0% (0/ 1) | 0% (0/ 20) | 0% (0/ 77) |
1 /*
2 * This file provided by Facebook is for non-commercial testing and evaluation
3 * purposes only. Facebook reserves all rights not expressly granted.
4 *
5 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
6 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
7 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL
8 * FACEBOOK BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN
9 * ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
10 * CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
11 */
12
13 package com.facebook.samples.gestures;
14
15 import android.view.MotionEvent;
16
17 /**
18 * Component that detects and tracks multiple pointers based on touch events.
19 * <p>
20 * Each time a pointer gets pressed or released, the current gesture (if any) will end, and a new
21 * one will be started (if there are still pressed pointers left). It is guaranteed that the number
22 * of pointers within the single gesture will remain the same during the whole gesture.
23 */
24 public class MultiPointerGestureDetector {
25
26 /** The listener for receiving notifications when gestures occur. */
27 public interface Listener {
28 /** A callback called right before the gesture is about to start. */
29 public void onGestureBegin(MultiPointerGestureDetector detector);
30
31 /** A callback called each time the gesture gets updated. */
32 public void onGestureUpdate(MultiPointerGestureDetector detector);
33
34 /** A callback called right after the gesture has finished. */
35 public void onGestureEnd(MultiPointerGestureDetector detector);
36 }
37
38 private static final int MAX_POINTERS = 2;
39
40 private boolean mGestureInProgress;
41 private int mPointerCount;
42 private int mNewPointerCount;
43 private final int mId[] = new int[MAX_POINTERS];
44 private final float mStartX[] = new float[MAX_POINTERS];
45 private final float mStartY[] = new float[MAX_POINTERS];
46 private final float mCurrentX[] = new float[MAX_POINTERS];
47 private final float mCurrentY[] = new float[MAX_POINTERS];
48
49 private Listener mListener = null;
50
51 public MultiPointerGestureDetector() {
52 reset();
53 }
54
55 /** Factory method that creates a new instance of MultiPointerGestureDetector */
56 public static MultiPointerGestureDetector newInstance() {
57 return new MultiPointerGestureDetector();
58 }
59
60 /**
61 * Sets the listener.
62 * @param listener listener to set
63 */
64 public void setListener(Listener listener) {
65 mListener = listener;
66 }
67
68 /**
69 * Resets the component to the initial state.
70 */
71 public void reset() {
72 mGestureInProgress = false;
73 mPointerCount = 0;
74 for (int i = 0; i < MAX_POINTERS; i++) {
75 mId[i] = MotionEvent.INVALID_POINTER_ID;
76 }
77 }
78
79 /**
80 * This method can be overridden in order to perform threshold check or something similar.
81 * @return whether or not to start a new gesture
82 */
83 protected boolean shouldStartGesture() {
84 return true;
85 }
86
87 /**
88 * Starts a new gesture and calls the listener just before starting it.
89 */
90 private void startGesture() {
91 if (!mGestureInProgress) {
92 if (mListener != null) {
93 mListener.onGestureBegin(this);
94 }
95 mGestureInProgress = true;
96 }
97 }
98
99 /**
100 * Stops the current gesture and calls the listener right after stopping it.
101 */
102 private void stopGesture() {
103 if (mGestureInProgress) {
104 mGestureInProgress = false;
105 if (mListener != null) {
106 mListener.onGestureEnd(this);
107 }
108 }
109 }
110
111 /**
112 * Gets the index of the i-th pressed pointer.
113 * Normally, the index will be equal to i, except in the case when the pointer is released.
114 * @return index of the specified pointer or -1 if not found (i.e. not enough pointers are down)
115 */
116 private int getPressedPointerIndex(MotionEvent event, int i) {
117 final int count = event.getPointerCount();
118 final int action = event.getActionMasked();
119 final int index = event.getActionIndex();
120 if (action == MotionEvent.ACTION_UP ||
121 action == MotionEvent.ACTION_POINTER_UP) {
122 if (i >= index) {
123 i++;
124 }
125 }
126 return (i < count) ? i : -1;
127 }
128
129 /**
130 * Gets the number of pressed pointers (fingers down).
131 */
132 private static int getPressedPointerCount(MotionEvent event) {
133 int count = event.getPointerCount();
134 int action = event.getActionMasked();
135 if (action == MotionEvent.ACTION_UP ||
136 action == MotionEvent.ACTION_POINTER_UP) {
137 count--;
138 }
139 return count;
140 }
141
142 private void updatePointersOnTap(MotionEvent event) {
143 mPointerCount = 0;
144 for (int i = 0; i < MAX_POINTERS; i++) {
145 int index = getPressedPointerIndex(event, i);
146 if (index == -1) {
147 mId[i] = MotionEvent.INVALID_POINTER_ID;
148 } else {
149 mId[i] = event.getPointerId(index);
150 mCurrentX[i] = mStartX[i] = event.getX(index);
151 mCurrentY[i] = mStartY[i] = event.getY(index);
152 mPointerCount++;
153 }
154 }
155 }
156
157 private void updatePointersOnMove(MotionEvent event) {
158 for (int i = 0; i < MAX_POINTERS; i++) {
159 int index = event.findPointerIndex(mId[i]);
160 if (index != -1) {
161 mCurrentX[i] = event.getX(index);
162 mCurrentY[i] = event.getY(index);
163 }
164 }
165 }
166
167 /**
168 * Handles the given motion event.
169 * @param event event to handle
170 * @return whether or not the event was handled
171 */
172 public boolean onTouchEvent(final MotionEvent event) {
173 switch (event.getActionMasked()) {
174 case MotionEvent.ACTION_MOVE: {
175 // update pointers
176 updatePointersOnMove(event);
177 // start a new gesture if not already started
178 if (!mGestureInProgress && mPointerCount > 0 && shouldStartGesture()) {
179 startGesture();
180 }
181 // notify listener
182 if (mGestureInProgress && mListener != null) {
183 mListener.onGestureUpdate(this);
184 }
185 break;
186 }
187
188 case MotionEvent.ACTION_DOWN:
189 case MotionEvent.ACTION_POINTER_DOWN:
190 case MotionEvent.ACTION_POINTER_UP:
191 case MotionEvent.ACTION_UP: {
192 // restart gesture whenever the number of pointers changes
193 mNewPointerCount = getPressedPointerCount(event);
194 stopGesture();
195 updatePointersOnTap(event);
196 if (mPointerCount > 0 && shouldStartGesture()) {
197 startGesture();
198 }
199 break;
200 }
201
202 case MotionEvent.ACTION_CANCEL: {
203 mNewPointerCount = 0;
204 stopGesture();
205 reset();
206 break;
207 }
208 }
209 return true;
210 }
211
212 /** Restarts the current gesture (if any). */
213 public void restartGesture() {
214 if (!mGestureInProgress) {
215 return;
216 }
217 stopGesture();
218 for (int i = 0; i < MAX_POINTERS; i++) {
219 mStartX[i] = mCurrentX[i];
220 mStartY[i] = mCurrentY[i];
221 }
222 startGesture();
223 }
224
225 /** Gets whether there is a gesture in progress */
226 public boolean isGestureInProgress() {
227 return mGestureInProgress;
228 }
229
230 /** Gets the number of pointers after the current gesture */
231 public int getNewPointerCount() {
232 return mNewPointerCount;
233 }
234
235 /** Gets the number of pointers in the current gesture */
236 public int getPointerCount() {
237 return mPointerCount;
238 }
239
240 /**
241 * Gets the start X coordinates for the all pointers
242 * Mutable array is exposed for performance reasons and is not to be modified by the callers.
243 */
244 public float[] getStartX() {
245 return mStartX;
246 }
247
248 /**
249 * Gets the start Y coordinates for the all pointers
250 * Mutable array is exposed for performance reasons and is not to be modified by the callers.
251 */
252 public float[] getStartY() {
253 return mStartY;
254 }
255
256 /**
257 * Gets the current X coordinates for the all pointers
258 * Mutable array is exposed for performance reasons and is not to be modified by the callers.
259 */
260 public float[] getCurrentX() {
261 return mCurrentX;
262 }
263
264 /**
265 * Gets the current Y coordinates for the all pointers
266 * Mutable array is exposed for performance reasons and is not to be modified by the callers.
267 */
268 public float[] getCurrentY() {
269 return mCurrentY;
270 }
271 }


Download [project document]
Please read the project document for the details (including: steps, evaluations and guidelines)
Important Dates
- Project proposal deadline: {{ '2018-12-11T00:00:00+3:30' | jdate: "%Y/%m/%e" }}
- Final report deadline: {{ '2019-01-30T10:00:00+3:30' | jdate: "%Y/%m/%e" }}
- Project presentation session: {{ '2019-01-26T10:00:00+3:30' | jdate: "%Y/%m/%e" }}


Information Location Company Welcome Aread Map About Us Schedule Address Terms Contact Us<PHONE_NUMBER>


Racism is Real
None of the videos on this webpage belong to GetWoke. Videos/Products of Youtube (Buzzfeed + Brave New Films)
Racism, which is defined as prejudice or discrimination directed towards a certain race due to a feeling of superiority, has been present since the begginning of time. However recently, it has become a very serious problem. Many groups are being targeted influenced by global events and outdated mindsets. At the moment, it is very important that people are educated and spread love.
*Make sure you pause the video at the end of this page before continuing*
The organizations below will help allow to contribute and fix this problem:
Black Lives Matter is a chapter-based national organization working for the validity of Black life. They work to (re)build the Black liberation movement. There are many local chapters and local/national events to get involved in. To learn more, click on the image below!
The LULAC Organization, which stands for League of United Latin American Citizens, strives to improve civil rights for Latin-American citizens in the United States. Through various education, leadership, health, and economic programs, LUPAC does a lot of work to improve the race-gap. Their goal is to contribute to the community and raise awareness. People who are of all ages, including youths, have a platform for their voices. Click the picture below to learn more!
The MSA Organization, which stands for Muslim Student Association,is an organization for youth to learn more about Islam, contribute to the community, and spread peace. This association often exists in high schools and universities, however there are many opportunities to start them elsewhere. Click the picture below to learn more!
Race Forward advances racial justice through research, media, and practice. Founded in 1981, Race Forward brings systemic analysis and an innovative approach to complex race issues to help people take effective action toward racial equity. Its mission is to build awareness, solutions, and leadership for racial justice by generating transformative ideas, information, and experiences.Click the picture below to learn more!
This video explains how one could get involved to combat racism, at a very subdued level.


BOURBON WHISKEY
Bourbon is a distilled American whiskey, primarily made from corn and is stored in charred oak casks and does not contain any additives. A slightly sweet tasting whiskey, bourbon also is also a bit smoky and has a reddish colour due to fermentation in charred oak casks.


WATCH | Hospitalised taxi driver to be arrested after Cape Town accident
by Aljoscha KohlstockA bakkie overturned and a taxi was left mangled after a collision on Wednesday morning in Tableview, Cape Town.
According to passersby, the taxi jumped a red traffic light before colliding with the bakkie, which overturned and crashed into another traffic light.
The taxi driver was injured and hospitalised.

Police spokesperson Sergeant Noloyiso Rwexana said a case of reckless and negligent driving had been opened.
According to Rwexana, the taxi driver would be arrested once discharged from hospital.


About the Compucolor II Emulator
Version 2013.04.21
This emulator is written in javascript, and makes use of some fairly
modern browser features, namely canvas support and the
FileReader API. If your browser doesn't support those features,
the emulator may lose features or might not work at all.
This emulator is my first javascript program, and it leans heavily on
the work and encouragement of others.
- First off, thanks are due to David Jeppeson, who got this all started
by giving me his old Compucolor. I wanted one as the basis for
writing an emulator. I'm embarrased to say that was back in 2002,
and it has taken me over a decade to make good on my intentions.
- The code to emulate the 8080 CPU was written by
Chris Double
for a
space invaders
emulator, and he graciously gave permission to use it.
- Stefan Tramm improved on Chris Double's 8080 code by fixing a
few bugs, then used it in his excellent
8080 CPU Emulator,
which emulates a running CP/M system right in your browser,
including a TTY and floppy disks.
- The snazzy animation to make the debugger window open up and
close, plus some behind the scenes logic to position elements
when the virtual CC-II CRT is resized was done via the popular
jQuery core library.
- Dr. David B. Suits
didn't realize it, but he lit a fire under me to finally make the
time to write this emulator. I had spent nearly a decade with the
intention of writing an emulator for the CC-II, but it never made it
to the top of my priority list. After contacting David about
permission to scan his book, he pointed me at
a more restricted javascript emulator
for a machine closely related to the CC-II.
Although I didn't use any of that code, its shockingly small
size made me realize that perhaps it wasn't as big of a job as
I had feared; I began writing this emulator a couple days later.
Version 2013.04.21
- added floppy disk emulation
- sped up autotyping "download" feature
- removed 8080 monitor to simplify the UI
- unified the "Read File" button with the "Run a program:" pulldown
- added mapping of Insert key to INSCHAR and Delete key to DELCHAR
- refreshed the list of runnable programs
- a number of small fixes and improvements
Version 2013.03.30


{% extends "instructions/Page.html" %} {% load staticfiles otree %} {% block title %} INSTRUCTIONS - PART 1
When you are active, you will not know the type of the participant you are paired with. However, you will receive a clue about your potential partner’s type. Clues are determined in the following way. The computer will digitally draw a random ball from a box containing 24 balls of different colors. Each ball can be either blue, yellow or red. The number of blue, yellow and red balls in the box depends on your partner’s type. For example, consider the boxes illustrated in the figure below.
To give you a clue about the type of your potential partner, the computer will first determine which box to use given your partner’s type. Then it will digitally draw a random ball: each single ball in the box has the same probability of being selected, equal to 1/24. The clue you receive is the color of this randomly drawn ball.


|
mlpack
1.0.12
|
The log-likelihood function for the logistic regression objective function. More...
Public Member Functions | |
| LogisticRegressionFunction (const arma::mat &predictors, const arma::vec &responses, const double lambda=0) | |
| LogisticRegressionFunction (const arma::mat &predictors, const arma::vec &responses, const arma::mat &initialPoint, const double lambda=0) | |
| double | Evaluate (const arma::mat ¶meters) const |
| Evaluate the logistic regression log-likelihood function with the given parameters. More... | |
| double | Evaluate (const arma::mat ¶meters, const size_t i) const |
| Evaluate the logistic regression log-likelihood function with the given parameters, but using only one data point. More... | |
| const arma::mat & | GetInitialPoint () const |
| Return the initial point for the optimization. More... | |
| void | Gradient (const arma::mat ¶meters, arma::mat &gradient) const |
| Evaluate the gradient of the logistic regression log-likelihood function with the given parameters. More... | |
| void | Gradient (const arma::mat ¶meters, const size_t i, arma::mat &gradient) const |
| Evaluate the gradient of the logistic regression log-likelihood function with the given parameters, and with respect to only one point in the dataset. More... | |
| const arma::mat & | InitialPoint () const |
| Return the initial point for the optimization. More... | |
| arma::mat & | InitialPoint () |
| Modify the initial point for the optimization. More... | |
| const double & | Lambda () const |
| Return the regularization parameter (lambda). More... | |
| double & | Lambda () |
| Modify the regularization parameter (lambda). More... | |
| size_t | NumFunctions () const |
| Return the number of separable functions (the number of predictor points). More... | |
| const arma::mat & | Predictors () const |
| Return the matrix of predictors. More... | |
| const arma::vec & | Responses () const |
| Return the vector of responses. More... | |
Private Attributes | |
| arma::mat | initialPoint |
| The initial point, from which to start the optimization. More... | |
| double | lambda |
| The regularization parameter for L2-regularization. More... | |
| const arma::mat & | predictors |
| The matrix of data points (predictors). More... | |
| const arma::vec & | responses |
| The vector of responses to the input data points. More... | |
The log-likelihood function for the logistic regression objective function.
This is used by various mlpack optimizers to train a logistic regression model.
Definition at line 29 of file logistic_regression_function.hpp.
| mlpack::regression::LogisticRegressionFunction::LogisticRegressionFunction | ( | const arma::mat & | predictors, |
| const arma::vec & | responses, | ||
| const double | lambda = 0 |
||
| ) |
| mlpack::regression::LogisticRegressionFunction::LogisticRegressionFunction | ( | const arma::mat & | predictors, |
| const arma::vec & | responses, | ||
| const arma::mat & | initialPoint, | ||
| const double | lambda = 0 |
||
| ) |
| double mlpack::regression::LogisticRegressionFunction::Evaluate | ( | const arma::mat & | parameters | ) | const |
Evaluate the logistic regression log-likelihood function with the given parameters.
Note that if a point has 0 probability of being classified directly with the given parameters, then Evaluate() will return nan (this is kind of a corner case and should not happen for reasonable models).
The optimum (minimum) of this function is 0.0, and occurs when each point is classified correctly with very high probability.
| parameters | Vector of logistic regression parameters. |
| double mlpack::regression::LogisticRegressionFunction::Evaluate | ( | const arma::mat & | parameters, |
| const size_t | i | ||
| ) | const |
Evaluate the logistic regression log-likelihood function with the given parameters, but using only one data point.
This is useful for optimizers such as SGD, which require a separable objective function. Note that if the point has 0 probability of being classified correctly with the given parameters, then Evaluate() will return nan (this is kind of a corner case and should not happen for reasonable models).
The optimum (minimum) of this function is 0.0, and occurs when the point is classified correctly with very high probability.
| parameters | Vector of logistic regression parameters. |
| i | Index of point to use for objective function evaluation. |
|
inline |
Return the initial point for the optimization.
Definition at line 109 of file logistic_regression_function.hpp.
References initialPoint.
| void mlpack::regression::LogisticRegressionFunction::Gradient | ( | const arma::mat & | parameters, |
| arma::mat & | gradient | ||
| ) | const |
Evaluate the gradient of the logistic regression log-likelihood function with the given parameters.
| parameters | Vector of logistic regression parameters. |
| gradient | Vector to output gradient into. |
| void mlpack::regression::LogisticRegressionFunction::Gradient | ( | const arma::mat & | parameters, |
| const size_t | i, | ||
| arma::mat & | gradient | ||
| ) | const |
Evaluate the gradient of the logistic regression log-likelihood function with the given parameters, and with respect to only one point in the dataset.
This is useful for optimizers such as SGD, which require a separable objective function.
| parameters | Vector of logistic regression parameters. |
| i | Index of points to use for objective function gradient evaluation. |
| gradient | Vector to output gradient into. |
|
inline |
Return the initial point for the optimization.
Definition at line 42 of file logistic_regression_function.hpp.
References initialPoint.
|
inline |
Modify the initial point for the optimization.
Definition at line 44 of file logistic_regression_function.hpp.
References initialPoint.
|
inline |
Return the regularization parameter (lambda).
Definition at line 47 of file logistic_regression_function.hpp.
References lambda.
|
inline |
Modify the regularization parameter (lambda).
Definition at line 49 of file logistic_regression_function.hpp.
References lambda.
|
inline |
Return the number of separable functions (the number of predictor points).
Definition at line 112 of file logistic_regression_function.hpp.
|
inline |
Return the matrix of predictors.
Definition at line 52 of file logistic_regression_function.hpp.
References predictors.
|
inline |
Return the vector of responses.
Definition at line 54 of file logistic_regression_function.hpp.
References responses.
|
private |
The initial point, from which to start the optimization.
Definition at line 116 of file logistic_regression_function.hpp.
Referenced by GetInitialPoint(), and InitialPoint().
|
private |
The regularization parameter for L2-regularization.
Definition at line 122 of file logistic_regression_function.hpp.
Referenced by Lambda().
|
private |
The matrix of data points (predictors).
Definition at line 118 of file logistic_regression_function.hpp.
Referenced by Predictors().
|
private |
The vector of responses to the input data points.
Definition at line 120 of file logistic_regression_function.hpp.
Referenced by Responses().


Man charged in crash that claimed life of retired Abbotsford Police sergeant Shinder Kirk - Barriere Star Journal
by Chris BushConrad Nikolaus Wetten, 23, charged with driving without due care and attention
A Nanaimo man, charged in relation to a fatal motor vehicle accident 2018, will make his first court appearance next month.
Conrad Nikolaus Wetten, 23, will appear in provincial court in Nanaimo on Dec. 17, to face one count of driving without due care and attention.
The charge stems from a head-on collision on Cedar Road, about 1.5 kilometres from the Cedar Road-Nanaimo Parkway interchange, Dec. 22, 2018, that claimed the life of Shinder Kirk, a retired Abbotsford Police sergeant.
Wetten was formally charged Nov. 15.
It is alleged Wetten was driving his Ford pickup when it collided head-on with a Chevrolet pickup driven by Kirk, who died at the scene. Two passengers with Kirk were airlifted to hospital with serious injuries. Wetten and his female passenger suffered minor injuries and did not require hospitalization.
RELATED: Retired Lower Mainland police media officer Shinder Kirk remembered


6 types derived from MethodGroup
System.Management.Automation (6)
engine\MshMemberInfo.cs (6)
2767
internal class MethodGroup<T1> :
MethodGroup
2771
internal class MethodGroup<T1, T2> :
MethodGroup
2775
internal class MethodGroup<T1, T2, T3, T4> :
MethodGroup
2779
internal class MethodGroup<T1, T2, T3, T4, T5, T6, T7, T8> :
MethodGroup
2783
internal class MethodGroup<T1, T2, T3, T4, T5, T6, T7, T8, T9, T10, T11, T12, T13, T14, T15, T16> :
MethodGroup
2788
T32> :
MethodGroup
1 reference to MethodGroup
System.Management.Automation (1)
engine\MshMemberInfo.cs (1)
2822
if (t.IsSubclassOf(typeof(
MethodGroup
)))


How can we improve our security score and posture today?
It needs improvement, and we can do better. Start by reviewing the latest Risk Events below. Select 'lookup' on an event to retrieve information on that user. You will then be able to review the associated users Secure Score Risk Profile drawn from their Risk Events, Registered MFA Methods, Password Status, AD Password Sign-in and Password Reset activity. Use the Search for a User lookup function to do the same for any user in your organisation.


apache_beam.utils.retry module¶
Retry decorators for calls raising exceptions.
For internal use only; no backwards-compatibility guarantees.
This module is used mostly to decorate all integration points where the code makes calls to remote services. Searching through the code base for @retry should find all such places. For this reason even places where retry is not needed right now use a @retry.no_retries decorator.
-
exception
apache_beam.utils.retry.
PermanentException
[source]¶ Bases:
exceptions.Exception
Base class for exceptions that should not be retried.
-
class
apache_beam.utils.retry.
FuzzedExponentialIntervals
(initial_delay_secs, num_retries, factor=2, fuzz=0.5, max_delay_secs=3600)[source]¶ Bases:
object
Iterable for intervals that are exponentially spaced, with fuzzing.
On iteration, yields retry interval lengths, in seconds. Every iteration over this iterable will yield differently fuzzed interval lengths, as long as fuzz is nonzero.
Parameters: - initial_delay_secs – The delay before the first retry, in seconds.
- num_retries – The total number of times to retry.
- factor – The exponential factor to use on subsequent retries. Default is 2 (doubling).
- fuzz – A value between 0 and 1, indicating the fraction of fuzz. For a given delay d, the fuzzed delay is randomly chosen between [(1 - fuzz) * d, d].
- max_delay_secs – Maximum delay (in seconds). After this limit is reached, further tries use max_delay_sec instead of exponentially increasing the time. Defaults to 1 hour.
-
apache_beam.utils.retry.
retry_on_server_errors_filter
(exception)[source]¶ Filter allowing retries on server errors and non-HttpErrors.
-
apache_beam.utils.retry.
retry_on_beam_io_error_filter
(exception)[source]¶ Filter allowing retries on Beam IO errors.
-
apache_beam.utils.retry.
no_retries
(fun)[source]¶ A retry decorator for places where we do not want retries.
-
apache_beam.utils.retry.
with_exponential_backoff
(num_retries=7, initial_delay_secs=5.0, logger=<function warning>, retry_filter=<function retry_on_server_errors_filter>, clock=<apache_beam.utils.retry.Clock object>, fuzz=True, factor=2, max_delay_secs=3600)[source]¶ Decorator with arguments that control the retry logic.
Parameters: - num_retries – The total number of times to retry.
- initial_delay_secs – The delay before the first retry, in seconds.
- logger – A callable used to report an exception. Must have the same signature as functions in the standard logging module. The default is logging.warning.
- retry_filter – A callable getting the exception raised and returning True if the retry should happen. For instance we do not want to retry on 404 Http errors most of the time. The default value will return true for server errors (HTTP status code >= 500) and non Http errors.
- clock – A clock object implementing a sleep method. The default clock will use time.sleep().
- fuzz – True if the delay should be fuzzed (default). During testing False can be used so that the delays are not randomized.
- factor – The exponential factor to use on subsequent retries. Default is 2 (doubling).
- max_delay_secs – Maximum delay (in seconds). After this limit is reached, further tries use max_delay_sec instead of exponentially increasing the time. Defaults to 1 hour.
Returns: As per Python decorators with arguments pattern returns a decorator for the function which in turn will return the wrapped (decorated) function.
The decorator is intended to be used on callables that make HTTP or RPC requests that can temporarily timeout or have transient errors. For instance the make_http_request() call below will be retried 16 times with exponential backoff and fuzzing of the delay interval (default settings).
from apache_beam.utils import retry # … @retry.with_exponential_backoff() make_http_request(args)


{# # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. -#} {% extends "base.html" %} {% block title %}{% trans %}Security{% endtrans %}{% endblock %} {% block content %}
{% trans %}We take security very seriously and ask that you follow our security policy carefully.{% endtrans %}
{% trans %}Important!{% endtrans %} {% trans %}If you believe you've identified a security issue with Warehouse, DO NOT report the issue in any public forum, including (but not limited to):{% endtrans %}
{% trans<EMAIL_ADDRESS>%}Instead, email security at python dot org directly, providing as much relevant information as possible.{% endtrans %}
{% trans href='https://www.python.org/news/security/', title=gettext('External link') %}Messages may be optionally encrypted with GPG using key fingerprints available at the Python Security page.{% endtrans %}
{% trans %}Once you've submitted an issue via email, you should receive an acknowledgment within 48 hours.{% endtrans %}
{% trans %}Depending on the action to be taken, you may receive further follow-up emails.{% endtrans %}
{% trans %}This security policy was last updated on March 14, 2018.{% endtrans %}


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Examples
Currently viewing examples for version 4.x..
Currently viewing examples for version 4.x..
This page needs you! We need lots more examples. Please consider helping out by forking the project on GitHub.
Please note: the ‘Example’ object used in the following examples simply displays a notification to help illustrate when each callback is invoked. It is nothing to do with Bootbox itself, but you may view its source if you’re interested in how it works.


public class Cube
extends java.lang.Object
Licensed under the MIT License.
The Cube class defines the construction, turning, scrambling, and painting of the cube, as well as generation of a valid solution.
| Constructor and Description |
|---|
Cube()
Constructs the Cube object by instantiating a Cubie for each position in three-dimensional space
When the cube is held with Yellow facing up and Green facing front, x increases going from left to right,
y increases going from the front to the back, and z increases going from the top to the bottom.
|
| Modifier and Type | Method and Description |
|---|---|
boolean |
cornerInserted(int x,
int y,
int z)
Correctly checks whether the corner at (2, 0, 2) is solved.
|
java.lang.String |
finishWhiteLayer()
Completes the white layer by inserting any white corners in the U layer and fixing misoriented
white corners until there are no more white corners in the U layer.
|
char[][][] |
getColors()
This method allows for the painting of the cube in the GUI.
|
java.lang.String |
insertAllEdges()
Utilizes the methods insertEdgesInU() and insertMisorientedEdges() to complete the second layer
|
java.lang.String |
insertCornersInU()
Inserts any white corners that are in the U layer.
|
java.lang.String |
insertEdgesInU()
Inserts all non-yellow edges in the U layer into their respective slots in the
second layer using one of two algorithms
|
java.lang.String |
insertMisorientedCorners()
Properly inserts white corners that are in the first layer but not oriented correctly
|
java.lang.String |
insertMisorientedEdges()
If there are any edges in the second layer that were inserted in the incorrect
orientation, this method re-inserts them in the correct orientation
|
java.lang.String |
makeSunflower()
Makes the sunflower (yellow center in the middle with 4 white edges surrounding it).
|
java.lang.String |
makeWhiteCross()
Once the sunflower is made, this method matches white edges to their respective faces and turns them down
one at a time, creating the white cross.
|
java.lang.String |
makeYellowCross()
Orients all yellow edges in the U layer based on their current state.
|
boolean |
nonYellowEdgesInU()
Checks whether any non-yellow edges remain in the U layer.
|
int |
numWhiteEdgesOriented()
Utility method for makeSunflower()
|
int |
numYellowCornersOriented()
Utility method for orientLastLayer()
|
int |
numYellowEdgesOriented()
Utility method for yellowEdgeOrientation() and makeYellowCross()
|
java.lang.String |
optimizeMoves(java.lang.String moves)
Optimizes the
moves inputed by reducing redundant and unnecessary turns or rotations. |
java.lang.String |
orientLastLayer()
Finishes the step of orienting the last layer by orienting all yellow corners using
a beginner's method algorithm.
|
void |
paintComponent(java.awt.Graphics g)
Paints the cube using methods from the AWT framework.
|
java.lang.String |
performMoves(java.lang.String moves)
Loops through the characters in a String of standard turning notation to apply the set of moves to the cube
Checks for clockwise, double, and counterclockwise turns
|
java.lang.String |
permuteLastLayer()
Permutes the last layer such that all oriented pieces are in the correct positions
relative to each other.
|
java.lang.String |
prepareSlot(int x,
int y,
int z,
char color)
Utility method for makeSunflower()
Prepares a slot in the U face for white edges to be brought up into the U layer without misorienting white
edges already in the U layer
|
java.lang.String |
randScramble()
Generates a random scramble.
|
void |
reverseMoves(java.lang.String moves)
Performs the inverse of the moves inputed as parameters.
|
void |
scramble(java.lang.String scramble)
Scrambles a cube according to WCA rules (White on top, Green in front).
|
void |
setAllColors(char[][][] colors)
Sets all the colors of the cube to the colors inputed by the user during color selection mode.
|
void |
setCubieColor(int x,
int y,
int z,
char dir,
char ncolor)
Changes a single color of a cubie to a new color in the given direction
|
void |
testTurning()
Outputs the position, colors, and respective directions of colors of every cubie making up the cube.
|
void |
turn(java.lang.String turn)
Takes a String value of a turn or rotation in standard Rubik's Cube notation and applies the turn or rotation to
the cube.
|
boolean |
whiteCornerinU()
Utility method for insertCornersinU()
|
boolean |
whiteCornerPrepared()
Utility method for insertCornersInU().
|
java.lang.String |
yellowEdgeOrientation()
Utility method for makeYellowCross().
|
public Cube()
public void turn(java.lang.String turn)
turn
- the turn to be performedpublic java.lang.String performMoves(java.lang.String moves)
moves
- the moves to be applied to the cubemoves
)public void reverseMoves(java.lang.String moves)
moves
- the moves to be reversedpublic java.lang.String optimizeMoves(java.lang.String moves)
moves
inputed by reducing redundant and unnecessary turns or rotations.
For example, "U U'" would be negated; "U U2" is simplified to "U'"; and "U U" is simplified
to "U2".moves
- the String of moves to be optimizedpublic java.lang.String randScramble()
public void scramble(java.lang.String scramble)
scramble
- the scramble to be performedpublic java.lang.String makeWhiteCross()
public java.lang.String makeSunflower()
public java.lang.String prepareSlot(int x, int y, int z, char color)
x
- the x position of the cubie to preparey
- the y positionz
- the z positioncolor
- the color which should not remain in the prepared slotpublic int numWhiteEdgesOriented()
public java.lang.String finishWhiteLayer()
public boolean whiteCornerinU()
public java.lang.String insertCornersInU()
public java.lang.String insertMisorientedCorners()
public boolean whiteCornerPrepared()
public boolean cornerInserted(int x, int y, int z)
x
- the position to check for (although this method is only called with (2, 0, 2).y
- see abovez
- see abovepublic java.lang.String insertAllEdges()
public boolean nonYellowEdgesInU()
public java.lang.String insertEdgesInU()
public java.lang.String insertMisorientedEdges()
public int numYellowEdgesOriented()
public int numYellowCornersOriented()
public java.lang.String yellowEdgeOrientation()
public java.lang.String makeYellowCross()
public java.lang.String orientLastLayer()
public java.lang.String permuteLastLayer()
public char[][][] getColors()
public void setCubieColor(int x, int y, int z, char dir, char ncolor)
x
- the x position of the cubiey
- y positionz
- z positiondir
- the directionncolor
- the new colorpublic void testTurning()
public void setAllColors(char[][][] colors)
colors
- all colors to be put into the cubepublic void paintComponent(java.awt.Graphics g)
g
- A Graphics object


{extend name="public:index"} {block name="title"}Transactions{/block} {block name="index"}
Edit Sender Edit Sender's Third Party Edit Beneficiary Edit Beneficiary's Third Party
Relationship with Beneficiary *
Name *
Street address
City
Province or state
Postal or zip code
Country
Phone number
Date of birth
ID type
Driver's license Passport
Back to Transaction Details


Library: Net
Package: TCPServer
Header: Poco/Net/TCPServerParams.h
Description
This class is used to specify parameters to both the TCPServer, as well as to TCPServerDispatcher objects.
Subclasses may add new parameters to the class.
Inheritance
Direct Base Classes: Poco::RefCountedObject
All Base Classes: Poco::RefCountedObject
Known Derived Classes: HTTPServerParams
Member Summary
Member Functions: getMaxQueued, getMaxThreads, getThreadIdleTime, getThreadPriority, setMaxQueued, setMaxThreads, setThreadIdleTime, setThreadPriority
Inherited Functions: duplicate, referenceCount, release
Types
Ptr
typedef Poco::AutoPtr < TCPServerParams > Ptr;
Constructors
TCPServerParams
Creates the TCPServerParams.
Sets the following default values:
- threadIdleTime: 10 seconds
- maxThreads: 0
- maxQueued: 64
Destructor
~TCPServerParams
virtual ~TCPServerParams();
Destroys the TCPServerParams.
Member Functions
getMaxQueued
int getMaxQueued() const;
Returns the maximum number of queued connections.
getMaxThreads
int getMaxThreads() const;
Returns the maximum number of simultaneous threads available for this TCPServerDispatcher.
getThreadIdleTime
const Poco::Timespan & getThreadIdleTime() const;
Returns the maximum thread idle time.
getThreadPriority
Poco::Thread::Priority getThreadPriority() const;
Returns the priority of TCP server threads created by TCPServer.
setMaxQueued
void setMaxQueued(
int count
);
Sets the maximum number of queued connections. Must be greater than 0.
If there are already the maximum number of connections in the queue, new connections will be silently discarded.
The default number is 64.
setMaxThreads
void setMaxThreads(
int count
);
Sets the maximum number of simultaneous threads available for this TCPServerDispatcher.
Must be greater than or equal to 0. If 0 is specified, the TCPServerDispatcher will set this parameter to the number of available threads in its thread pool.
The thread pool used by the TCPServerDispatcher must at least have the capacity for the given number of threads.
setThreadIdleTime
void setThreadIdleTime(
const Poco::Timespan & idleTime
);
Sets the maximum idle time for a thread before it is terminated.
The default idle time is 10 seconds;
setThreadPriority
void setThreadPriority(
Poco::Thread::Priority prio
);
Sets the priority of TCP server threads created by TCPServer.


WITNESS LIST Subcommittee on Higher Education Committee March 24, 2003 - 1:30P SB 928 FOR: Augustin, Dr. Byron D. (myself & my department) Benn, Sherri (Alumni) Dahdah, Sandra (ASG), San Marcos, TX Doerr, Robert T. (The students) Dunn, Dennis J. (Self & Majors in International Studies), San Marcos, TX Dunn, Margaret E. (Self), San Marcos, TX Fischer, Justin (Student Body SWT) Graham, Carla (myself & The Board of Directors-Bobcat Athletic Foundation), Austin, TX Hierholzer, Kyle W. (The students of our University), San Marcos, TX Jones II, Christopher (Black Student Alliance, Liberal Arts) McCall FitzPatrick, Shannon (Self), San Marcos, TX McEntee, Richard (Self), Austin, TX Morris, Kyle V. (The Associated Student Government of SWT) Morton, Vincent E. (Alumni) Parker, Jerry (Southwest Texas State University), San Marcos, TX Rahe, Charles (Self) AGAINST: Allen-Brooks, Bennie R. (Texas Southern University), Houston, TX Banks, Helena L. (Texas State University System-Student Advisory Board & Sam Houston State University), Huntsville, TX Bazile, Monica (TSU Texas Southern University), Houston, TX Black, Ethel (Parent & Friends of Texas Southern University), Houston, TX Bostick, Benjamin (SHSU Student Government Association), Huntsville, TX Brown, Terrick (TSU) Burden, Joseph (Texas Southern University), Houston, TX Cason, Shamequia M. (Texas Southern University) Darnell, Esther (Texas Southern University), Houston, TX Dawson, Dorothy J. (Texas Southern University), Houston, TX Dunson, Stephen R. (Myself/Alumni), Arlington, TX English, Cedric (Texas Southern University), Houston, TX Francis, Russell (Texas Southern University) Gilmore, ReShun (Texas Southern University), Houston, TX Gilmore, Jr., Robert (Texas Southern University) Hawkins, Derek D. (Texas Southern University) Hughson, Jane (Self), San Marcos, TX Huntsberry, Lucille Y. (Texas Southern University), Houston, TX Kennedy Gibbens, Laquita (Southwest Texas State University Alumni) Knight, Brennen (Fellow Alumni of SWT), Seguin, TX LeBlanc, Jr., Christopher (Texas Southern University), Houston, TX Luna, Christopher James (Self), Boerne, TX Marshall, Terri (Texas Southern University (TSU)) Marshall, Willie H. (TSU), Houston, TX Marshall, Youlanda (Texas Southern University), Houston, TX Martin, Shaqua (Texas Southern University) Mays, Rodney C. (TSU (Texas Southern University)) McClung, Bryan (Self), San Marcos, TX McClung, Reagan (Self), San Marcos, TX McDonald, Keir (Texas Southern University), Houston, TX Milton, Jarrett (Texas Southern University), Houston, TX Moffitt, Dixie (Self) Murray, Quinton L. (Texas Southern University) Newson, Zina (Texas Southern University/TSU), Houston, TX Nolan Osaw, Charles (Texas Southern University), Missouri City, TX Perkins, Leonard (Texas Southern University) Raglin, Chanika (Texas Southern University) Rasberry, Joie D. (Texas Southern University-TSU), Houston, TX Redic, Crystal (Texas Southern University) Rettig, Keon K. (Texas Southern University) Rosenblath Brunner, Elizabeth (Self), New Braunfels, TX Royster, James (Texas Sothern University) Starling, Maria V. (Texas Southern University), Houston, TX Thomas, Adrianne L. (Texas Southern University) Tircuit, Tanya (Texas Southern University) Toler, Ruby D. (Texas Southern University), Houston, TX Tucker, Rochelle Elaine (Texas Southern University) Turner, Dr. Polly S. (Texas Southern University), Houston, TX Vallier, Erica (Texas Southern University), Houston, TX Washington, Eric (Texas Southern University) White, Richard L. (Self), Mansfield, TX Wilder, Carla (Texas Southern University), Pearland, TX Wooten, Pamela (Texas Southern University), Houston, TX Registering, but not testifying: For: Bolz, Heather (SWT ASG-assoc. stu. gov't college of science), San Marcos, TX Boucher, Jeromy (Souhwest Texas State University School of Science) Chikwere Aguocha, Kekkchi (Southwest Texas State University) Dominguez, Ernie R. (Self) Green, Erin (University Star-School Newspaper) Haley, D.C. (Self) LaFleur, Greg (Self), San Marcos, TX Matsakis, Manny (Self), San Marcos, TX Pratner, Jude (IFC Students) Reyna, Rick (Self), Austin, TX Stallman Haley, Johanna (Personal Interest as an Alumni of SWTSU), San Marcos, TX Walker, Brian (Self), Houston, TX Against: Bandele, Jamaymon (TSU) Cartwright, Angie D. (Sam Houston State University) Faseler, Dorothy (Self), San Marcos, TX Faseler, John (Self) Gibbens, Bobby (SWT & myself), Karnes City, TX Gibbens, John W. (Self), Mt. Home, TX Gibbens, Louaunna K. (Self), Mt. Home, TX Jenkins, John W. (Self) Knight, Michele (future SWT students and tax payers), Seguin, TX Reed, Kevin (TSU) Siddons III, Bill (Self-Alumni), Hillsboro, TX Westfall, Dot (SWT-myself) White, Claudette R. (Self), Mansfield, TX Wyche Ewlian, Faye (Texas Southern University), Houston, TX Providing written testimony: Against: Hughes, Evelyn M. (Self), Austin, TX


| lesson 60 Too early and too late |
| Punctuality is a necessary habit in all public affairs in civilized society. |
| Without it, nothing could ever be brought to a conclusion; everything would be in a state of chaos. |
| Only in a sparsely-populated rural community is it possible to disregard it. |
| In ordinary living, there can be some tolerance of unpunctuality. |
| The intellectual, who is working on some abstruse problem, has everything coordinated and organized for the matter in hand. |
| He is therefore forgiven if late for a dinner party. |
| But people are often reproached for unpunctuality when their only fault is cutting things fine. |
| It is hard for energetic, quick-minded people to waste time, |
| so they are often tempted to finish a job before setting out to keep an appointment. |
| If no accidents occur on the way, like punctured tyres, diversions of traffic, sudden descent of fog, they will be on time. |
| They are often more industrious, useful citizens than those who are never late. |
| The over-punctual can be as much a trial to others as the unpunctual. |
| The guest who arrives half an hour too soon is the greatest nuisance. |
| Some friends of my family had this irritating habit. |
| The only thing to do was ask them to come half an hour later than the other guests. |
| Then they arrived just when we wanted them. |
| If you are catching a train, it is always better to be comfortably early than even a fraction of a minute too late. |
| Although being early may mean wasting a little time, |
| this will be less than if you miss the train and have to wait an hour or more for the next one; |
| and you avoid the frustration of arriving at the very moment when the train is drawing out of the station and being unable to get on it. |
| An even harder situation is to be on the platform in good time for a train and still to see it go off without you. |
| Such an experience befell a certain young girl the first time she was travelling alone. |
| She entered the station twenty minutes before the train was due, |
| since her parents had impressed upon her that it would be unforgivable to miss it and cause the friends with whom she was going to stay to make two journeys to meet her. |
| She gave her luggage to a porter and showed him her ticket. |
| To her horror he said that she was two hours too soon. |
| She felt in her handbag for the piece of paper on which her father had written down all the details of the journey and gave it to the porter. |
| He agreed that a train did come into the station at the time on the paper and that it did stop, |
| but only to take on mail, not passengers. |
| The girl asked to see a timetable, feeling sure that her father could not have made such a mistake. |
| The porter went to fetch one and arrived back with the station master, |
| who produced it with a flourish and pointed out a microscopic 'o' beside the time of the arrival of the train at his station; |
| this little 'o' indicated that the train only stopped for mail. |
| Just as that moment the train came into the station. |
| The girl, tears streaming down her face, begged to be allowed to slip into the guard's van. |
| But the station master was adamant: |
| rules could not be broken. And she had to watch that train disappear towards her destination while she was left behind. |


ON-QUE
There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form, by injected humour.
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Welcome! The filter switches have four combinations: On-On(Not filtering but showing),
On-Off(Filter by correct examples), Off-On(Filter by wrong examples) and Off-Off(Not showing).
% for example in result:
No.{{example}}: {{result[example]['ctx']}}
% for choice in result[example]['choices']:
- {{choice['text']}}
% for model in choice['models']:
% end
% end
Closest Training Pairs
% for choice in result[example]['choices']:
% if choice['models']:
% for model in choice['models']:
% for e in model['closest'][:1]:


There is another list below which gets stores separately.
One
Vegetables are most often consumed as salads or cooked in savory or salty dishes, while culinary fruits are usually sweet and used for desserts, but it is not the universal rule.
Vegetables are most often consumed as salads or cooked in savory or salty dishes, while culinary fruits are usually sweet and used for desserts, but it is not the universal rule.


|
| Pointfree | | Portability | portable | | Stability | experimental | | Maintainer |<EMAIL_ADDRESS>|
|
|
|
|
|
| Description |
| A syntax of a general pointfree language.
|
|
| Synopsis |
|
|
|
|
| Data Type |
|
Represents a pointfree language where:
- products and sums are treated
- base types are obtained and decomposed by the use of the IN and
OUT constructors
- recursion can be expressed by the point-fix function or by a paramorphism
- free variables are called macros and represent known pointfree expressions
|
|
| data PFTerm |
| Constructors | | BANG | Constant function that returns Unit | | ID | Identity | | APP | Apply | | Curry PFTerm | Curry | | (:.:) PFTerm PFTerm | Composition | | (:\/:) PFTerm PFTerm | Either | | (:/\:) PFTerm PFTerm | Split | | FST | Point-free first | | SND | Point-free second | | INL | Point-free left injection | | INR | Point-free right injection | | IN HsExpP | Injection on a specified type | | OUT HsExpP | Gets the functor | | PARA HsExpP PFTerm | Paramorphism | | FIX | Fixed point function | | Macro String | Macros of frequently used pointfree terms |
| | Instances | |
|
|
| Conversion of a PFTerm to an haskell expression |
|
| pf2Exp :: PFTerm -> HsExpI PNT |
| Applies a tranformation from a PFTerm to an expression of programatica's
abstract tree. Note that the type information inside the IN, OUT and PARA
terms is represented as a programatica's expression L::type, where the type
is the real type information.
|
|
| Produced by Haddock version 0.6 |


respiratory pregnant mask breathing women exercise (−., oxygen rest use {border-style air increase subjects expired px;} study #ffffff;} healthcare N-mask materials rate (Fig. compared decrease increased respirator work N-masks dioxide heart metabolic maternal parameters pregnancy −.) Phase Table carbon fetal wearing workers CI: inspired levels masks mean significant volume Control concentrations control effects measured ambient changes period prolonged px; respirators ventilation {font-family −.; (−.; -minute Fig. Health Infect VCO care corresponding cycles font-size forced influenza non-pregnant reduced results study. usage −., Hans Respiratory Rudolph cart controls data difference differences double; exercise. frequency intensity minute pandemic performed performing physiological saturation suggest workload Fi < Accessed Borg FeO Med. National October adverse attached border-color border-width capillary concentration did ensure finger-tip health impact lactate medical outlet period, portable prior p = .) routine solid; subject tidal trial using {font-style {font-weight (±SEM) ./S-()- ELY Effect FFR FeCO N = Roberge Sports acute bold clinical content courier; diseases em; evidence exchange filtering following function functions gas gestation greater guidelines higher infection infectious low lowered maintain measurement metabolism. nursing observed outcomes overall perceived phase potential pt;} p < .) recruited reduction significantly surgical treadmill unable


Having the entire history of the project in a single place, we risk losing everything.
Created by Linus Torvalds and
the Linux development community.
Merge
$ git merge# merge changes from feature to master $ git rebase $ git rebase -i # interactive rebase.
Please provide feedback at http://tinyurl.com/gitFeedback


Cross-platform
mobile Development
Cross-platform
Mobile Development
NO ring to rule them all!
| Pros | Cons |
|---|---|
| Performance | API updates and bug-fixes reliance. |
| Java, C++, .NET, JavaScript | UI tweaking inevitable to achieve native feel |
| Difficult maintance for large apps |
HTML5 that acts like native
Web wrapped in native layer
Direct access to native APIs
Familiar web dev environment
A single code base (web platform!)
| Pros | Cons |
|---|---|
| Leverage existing knowledge (cheaper) | Performance hit (larger memory footprint) |
| Rapid development | UI tweaking to achieve native feel |
| Many available options | No Direct access to latest UIs and APIs |
| Mobile site with same code | Native: Vendors' IDEs and frameworks |
“When I’m introspective about the last few years I think the biggest mistake that we made, as a company, is betting too much on HTML5 as opposed to native… because it just wasn’t there.”Mark Zuckerberg, September 2012
“ There are a few things that are critically missing. One is tooling support — having a debugger that actually works, performance tools that tell you where the memory is running out.
If you look at Android and iOS, there are two very large corporations that are focused on building tools to give a lot of detailed information when things go wrong in production. On the mobile web side, getting those desktop tools to work for mobile devices is really difficult.”
Kiran Prasad, April 2013
“Our research on HTML5 vs native apps in Q3 2013 showed that the key issue in HTML5 development, is not performance or API reach, but the lack of mature development tools.”
REMOTE DEBUGGING (ios6+)
REMOTE DEBUGGING (android 4.4+)
CLOUD BASED BUILDS
IN-APP LIVE UPDATES
IN-APP LIVE UPDATES
Apple Developer Program Agreement: Section 3.3.2
“Except as set forth in the next paragraph, an Application may not download or install executable code. Interpreted code may only be used in an Application if all scripts, code and interpreters are packaged in the Application and not downloaded. The only exceptions to the foregoing are scripts and code downloaded and run by Apple's built-in WebKit framework or JavascriptCore, provided that such scripts and code do not change the primary purpose of the Application by providing features or functionality that are inconsistent with the intended and advertised purpose of the Application as submitted to the App Store.”
LIVE RELOAD (DEVELOPMENT)
caniuse.com is lookin' pretty good nowadays
Android (4.4+) is now Chromium-based
iOS users keep their devices up-to-date
75% of devices are using io9.
As measured by the App Store on January 11, 2016.
https://developer.apple.com/support/app-store/
Data collected during a 7-day period ending on January 4, 2016.
Any versions with less than 0.1% distribution are not shown.
http://developer.android.com/about/dashboards/index.html
“It's not 2007 anymore”
| Year | Device | Processor | RAM |
|---|---|---|---|
| 2007 | iPhone | 400 MHz | 128 MB |
| 2010 | iPhone 4 | 1 GHz | 512 MB |
| 2015 | iPhone 6 | 1.4 GHz dual-core | 1 GB |
(Front-end developers will feel right at home)
Extends the HTML vocabulary
Proven for large-scale app development
UI Components using Directives & Services
CSS generated from the Sass preprocessor
Quickly give your app its own look and feel
CSS designed to be easily overridden
Variables based with default settings
List Item {{ item.id }}
{{ c.name }}
{{ c.email }}
700+ MIT licensed font-icons included
npm install -g ionic cordova
Boilerplate app structure ready for customization
LiveReload both local and native builds
Build and run native apps
Chromium for Android WebViews
Upgrade Android 4.1+ and above
Same hardware, modern software
Amazing performance improvements
Getting started guide
ionicframework.com/getting-started
Documentation
ionicframework.com/docs
Visit the Community Forum
forum.ionicframework.com
Contribute on GitHub
github.com/driftyco/ionic


An Experimental Project
CPC - NAICS
concordance project
ABOUT
DOWNLOAD
×
CPC to NAICS Concordance
A prototype for linking innovation activity to economic activity
using Natural Language Processing (NLP) techniques.


{% include head.html %}
{% include nav.html %} {% include introduction.html %} {% include features.html %} {% include documents.html %} {% include preview.html %} {% include consulting.html %} {% include team.html %} {% include foot.html %} {% include scripts.html %}


Food tastes better when you eat it with your family!!
Veg Non-Veg and all kinds of snacks are available!!
Thai Tanic
- ● Chicken Satay
- ● Pad Thai
- ● Thai Green Chicken Curry
- ● Thai Fish Green Curry
- ● Massaman Curry
Evening Snacks
- ● Mixed nuts
- ● Greek yogurt and mixed berries
- ● Apple slices with peanut butter
- ● Kale chips
- ● Dark chocolate and almonds
Gochew Grill
- ● A barbecue sandwich served
      with pickled cucumber
- ● Prepared méchoui
- ● Mixed-meat mixiote
- ● Barbecue spare ribs
- ● Spanferkel


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The Apayao River flows from an extensive watershed in the western slopes of the province, flows past the town of Kabugao and runs into the Pacific Ocean at the coastal town of Abulug. The river is picturesque through much of its length, and features a number of waterfalls and other features as it runs through the centre of the province.
The Lussok Crystal Cave is located in Luna, Apayao Philippines. It is a perfect example of the beauty of the natural wonders of the country. With its 3 room cave that holds various stalagmite formations, it’s a must see for anyone visiting Apayao. The Lussuk cave not only offers a spectacular view of rock formations but it also has crystals embedded in the cave itself. Thousands of rock formations will stun you as you enter the huge door of Lussok Cave. Situated at the rocky slope of Brgy. Dagupan sitio Kabunnayan, Luna, Apayao, a 3 room cave with dripping water that forms stalagmites of different beautiful shapes present an irresistible invitation to tourist hikers. This is also an ideal place for swimming and boating.
For a refreshing dip in the cool waters of Apayao, a great scenic spot would be the Bayugao Falls. It’s 4 kilometers away from Poblacion and has a 3-deck natural pools rising about 12 meters from each other. The cool clean water falls of Bayugao is a refreshing tourist attraction, around 4 km away from Poblacion. This is a 3-deck natural pools rising about 12 meters from each other mark. The waterfalls from the top pool cascade to the next in fluid succession. These natural pools provide clean, cool mountain spring water for everyone to enjoy swimming.
Allabang Cave is located in Luna, Apayao Philippines. It’s a great place for spelunkers, as the Allabang Cave is filled with huge quantities of guano. This gigantic cave is circumscribing by rich and productive rice plants that attracts many tourists. It has a triangular-shape opening and surrounded by tall trees that makes the place cool and refreshing for the people to have a mountain picnic and a good place for friends and family bonding moments.
The Waton Subterranian River is located in Pudtol, Apayao.


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1. Key features
Strimzi simplifies the process of running Apache Kafka in a Kubernetes cluster.
This guide is intended as a starting point for building an understanding of Strimzi. The guide introduces some of the key concepts behind Kafka, which is central to Strimzi, explaining briefly the purpose of Kafka components. Configuration points are outlined, including options to secure and monitor Kafka. A Strimzi distribution provides the files to deploy and manage a Kafka cluster, as well as example files for configuration and monitoring of your deployment.
A typical Kafka deployment is described, as well as the tools used to deploy and manage Kafka.
1.1. Kafka capabilities
The underlying data stream-processing capabilities and component architecture of Kafka can deliver:
-
Microservices and other applications to share data with extremely high throughput and low latency
-
Message ordering guarantees
-
Message rewind/replay from data storage to reconstruct an application state
-
Message compaction to remove old records when using a key-value log
-
Horizontal scalability in a cluster configuration
-
Replication of data to control fault tolerance
-
Retention of high volumes of data for immediate access
1.2. Kafka use cases
Kafka’s capabilities make it suitable for:
-
Event-driven architectures
-
Event sourcing to capture changes to the state of an application as a log of events
-
Message brokering
-
Website activity tracking
-
Operational monitoring through metrics
-
Log collection and aggregation
-
Commit logs for distributed systems
-
Stream processing so that applications can respond to data in real time
1.3. How Strimzi supports Kafka
Strimzi provides container images and Operators for running Kafka on Kubernetes. Strimzi Operators are fundamental to the running of Strimzi. The Operators provided with Strimzi are purpose-built with specialist operational knowledge to effectively manage Kafka.
Operators simplify the process of:
-
Deploying and running Kafka clusters
-
Deploying and running Kafka components
-
Configuring access to Kafka
-
Securing access to Kafka
-
Upgrading Kafka
-
Managing brokers
-
Creating and managing topics
-
Creating and managing users
2. About Kafka
Apache Kafka is an open-source distributed publish-subscribe messaging system for fault-tolerant real-time data feeds.
-
For more information about Apache Kafka, see the Apache Kafka website.
2.1. Kafka concepts
Knowledge of the key concepts of Kafka is important in understanding how Strimzi works.
A Kafka cluster comprises multiple brokers Topics are used to receive and store data in a Kafka cluster. Topics are split by partitions, where the data is written. Partitions are replicated across topics for fault tolerance.
- Broker
-
A broker, sometimes referred to as a server or node, orchestrates the storage and passing of messages.
- Topic
-
A topic provides a destination for the storage of data. Each topic is split into one or more partitions.
- Cluster
-
A group of broker instances.
- Partition
-
The number of topic partitions is defined by a topic partition count.
- Partition leader
-
A partition leader handles all producer requests for a topic.
- Partition follower
-
A partition follower replicates the partition data of a partition leader, optionally handling consumer requests.
Topics use a replication factor to configure the number of replicas of each partition within the cluster. A topic comprises at least one partition.
An in-sync replica has the same number of messages as the leader. Configuration defines how many replicas must be in-sync to be able to produce messages, ensuring that a message is committed only after it has been successfully copied to the replica partition. In this way, if the leader fails the message is not lost.
In the Kafka brokers and topics diagram, we can see each numbered partition has a leader and two followers in replicated topics.
2.2. Producers and consumers
Producers and consumers send and receive messages (publish and subscribe) through brokers. Messages comprise an optional key and a value that contains the message data, plus headers and related metadata. The key is used to identify the subject of the message, or a property of the message. Messages are delivered in batches, and batches and records contain headers and metadata that provide details that are useful for filtering and routing by clients, such as the timestamp and offset position for the record.
- Producer
-
A producer sends messages to a broker topic to be written to the end offset of a partition. Messages are written to partitions by a producer on a round robin basis, or to a specific partition based on the message key.
- Consumer
-
A consumer subscribes to a topic and reads messages according to topic, partition and offset.
- Consumer group
-
Consumer groups are used to share a typically large data stream generated by multiple producers from a given topic. Consumers are grouped using a
group.id
, allowing messages to be spread across the members. Consumers within a group do not read data from the same partition, but can receive data from one or more partitions. - Offsets
-
Offsets describe the position of messages within a partition. Each message in a given partition has a unique offset, which helps identify the position of a consumer within the partition to track the number of records that have been consumed.
Committed offsets are written to an offset commit log. A
__consumer_offsets
topic stores information on committed offsets, the position of last and next offset, according to consumer group.
3. Strimzi deployment of Kafka
Apache Kafka components are provided for deployment to Kubernetes with the Strimzi distribution. The Kafka components are generally run as clusters for availability.
A typical deployment incorporating Kafka components might include:
-
Kafka cluster of broker nodes
-
ZooKeeper cluster of replicated ZooKeeper instances
-
Kafka Connect cluster for external data connections
-
Kafka MirrorMaker cluster to mirror the Kafka cluster in a secondary cluster
-
Kafka Exporter to extract additional Kafka metrics data for monitoring
-
Kafka Bridge to make HTTP-based requests to the Kafka cluster
Not all of these components are mandatory, though you need Kafka and ZooKeeper as a minimum. Some components can be deployed without Kafka, such as MirrorMaker or Kafka Connect.
3.1. Kafka component architecture
A cluster of Kafka brokers is main part of the Apache Kafka project responsible for delivering messages.
A broker uses Apache ZooKeeper for storing configuration data and for cluster coordination. Before running Apache Kafka, an Apache ZooKeeper cluster has to be ready.
Each of the other Kafka components interact with the Kafka cluster to perform specific roles.
- Apache ZooKeeper
-
Apache ZooKeeper is a core dependency for Kafka as it provides a cluster coordination service, storing and tracking the status of brokers and consumers. ZooKeeper is also used for leader election of partitions.
- Kafka Connect
-
Kafka Connect is an integration toolkit for streaming data between Kafka brokers and other systems using Connector plugins. Kafka Connect provides a framework for integrating Kafka with an external data source or target, such as a database, for import or export of data using connectors. Connectors are plugins that provide the connection configuration needed.
-
A source connector pushes external data into Kafka.
-
A sink connector extracts data out of Kafka
External data is translated and transformed into the appropriate format.
You can deploy Kafka Connect with Source2Image support, which provides a convenient way to include connectors.
-
- Kafka MirrorMaker
-
Kafka MirrorMaker replicates data between two Kafka clusters, within or across data centers.
MirrorMaker takes messages from a source Kafka cluster and writes them to a target Kafka cluster.
- Kafka Bridge
-
Kafka Bridge provides an API for integrating HTTP-based clients with a Kafka cluster.
- Kafka Exporter
-
Kafka Exporter extracts data for analysis as Prometheus metrics, primarily data relating to offsets, consumer groups, consumer lag and topics. Consumer lag is the delay between the last message written to a partition and the message currently being picked up from that partition by a consumer
3.2. Kafka Bridge interface
Strimzi Kafka Bridge provides a RESTful interface that allows HTTP-based clients to interact with a Kafka cluster. Kafka Bridge offers the advantages of a web API connection to Strimzi, without the need for client applications to interpret the Kafka protocol.
The API has two main resources — consumers
and topics
— that are exposed and made accessible through endpoints to interact with consumers and producers in your Kafka cluster. The resources relate only to the Kafka Bridge, not the consumers and producers connected directly to Kafka.
3.2.1. HTTP requests
The Kafka Bridge supports HTTP requests to a Kafka cluster, with methods to:
-
Send messages to a topic.
-
Retrieve messages from topics.
-
Create and delete consumers.
-
Subscribe consumers to topics, so that they start receiving messages from those topics.
-
Retrieve a list of topics that a consumer is subscribed to.
-
Unsubscribe consumers from topics.
-
Assign partitions to consumers.
-
Commit a list of consumer offsets.
-
Seek on a partition, so that a consumer starts receiving messages from the first or last offset position, or a given offset position.
The methods provide JSON responses and HTTP response code error handling. Messages can be sent in JSON or binary formats.
Clients can produce and consume messages without the requirement to use the native Kafka protocol.
-
To view the API documentation, including example requests and responses, see the Kafka Bridge API reference on the Strimzi website.
3.2.2. Supported clients for the Kafka Bridge
You can use the Kafka Bridge to integrate both internal and external HTTP client applications with your Kafka cluster.
- Internal clients
-
Internal clients are container-based HTTP clients running in the same Kubernetes cluster as the Kafka Bridge itself. Internal clients can access the Kafka Bridge on the host and port defined in the
KafkaBridge
custom resource. - External clients
-
External clients are HTTP clients running outside the Kubernetes cluster in which the Kafka Bridge is deployed and running. External clients can access the Kafka Bridge through an OpenShift Route, a loadbalancer service, or using an Ingress.
4. Strimzi Operators
Having discussed the basics of Kafka, we can now look at how Strimzi supports Kafka using Operators to deploy and manage the components and dependencies of Kafka to Kubernetes.
Operators are a method of packaging, deploying, and managing a Kubernetes application. Strimzi Operators extend Kubernetes functionality, automating common and complex tasks related to a Kafka deployment. By implementing knowledge of Kafka operations in code, Kafka administration tasks are simplified and require less manual intervention.
Operators
Strimzi provides Operators for managing a Kafka cluster running within a Kubernetes cluster.
- Cluster Operator
-
Deploys and manages Apache Kafka clusters, Kafka Connect, Kafka MirrorMaker, Kafka Bridge, Kafka Exporter, and the Entity Operator
- Entity Operator
-
Comprises the Topic Operator and User Operator
- Topic Operator
-
Manages Kafka topics
- User Operator
-
Manages Kafka users
The Cluster Operator can deploy the Topic Operator and User Operator as part of an Entity Operator configuration at the same time as a Kafka cluster.
4.1. Cluster Operator
Strimzi uses the Cluster Operator to deploy and manage clusters for:
-
Kafka (including ZooKeeper, Entity Operator and Kafka Exporter)
-
Kafka Connect
-
Kafka MirrorMaker
-
Kafka Bridge
Custom resources are used to deploy the clusters.
For example, to deploy a Kafka cluster:
-
A
Kafka
resource with the cluster configuration is created within the Kubernetes cluster. -
The Cluster Operator deploys a corresponding Kafka cluster, based on what is declared in the
Kafka
resource.
The Cluster Operator can also deploy (through configuration of the Kafka
resource):
-
A Topic Operator to provide operator-style topic management through
KafkaTopic
custom resources -
A User Operator to provide operator-style user management through
KafkaUser
custom resources
The Topic Operator and User Operator function within the Entity Operator on deployment.
4.2. Topic Operator
The Topic Operator provides a way of managing topics in a Kafka cluster through Kubernetes resources.
The role of the Topic Operator is to keep a set of KafkaTopic
Kubernetes resources describing Kafka topics in-sync with corresponding Kafka topics.
Specifically, if a KafkaTopic
is:
-
Created, the Topic Operator creates the topic
-
Deleted, the Topic Operator deletes the topic
-
Changed, the Topic Operator updates the topic
Working in the other direction, if a topic is:
-
Created within the Kafka cluster, the Operator creates a
KafkaTopic
-
Deleted from the Kafka cluster, the Operator deletes the
KafkaTopic
-
Changed in the Kafka cluster, the Operator updates the
KafkaTopic
This allows you to declare a KafkaTopic
as part of your application’s deployment and the Topic Operator will take care of creating the topic for you.
Your application just needs to deal with producing or consuming from the necessary topics.
If the topic is reconfigured or reassigned to different Kafka nodes, the KafkaTopic
will always be up to date.
4.3. User Operator
The User Operator manages Kafka users for a Kafka cluster by watching for KafkaUser
resources that describe Kafka users,
and ensuring that they are configured properly in the Kafka cluster.
For example, if a KafkaUser
is:
-
Created, the User Operator creates the user it describes
-
Deleted, the User Operator deletes the user it describes
-
Changed, the User Operator updates the user it describes
Unlike the Topic Operator, the User Operator does not sync any changes from the Kafka cluster with the Kubernetes resources. Kafka topics can be created by applications directly in Kafka, but it is not expected that the users will be managed directly in the Kafka cluster in parallel with the User Operator.
The User Operator allows you to declare a KafkaUser
resource as part of your application’s deployment.
You can specify the authentication and authorization mechanism for the user.
You can also configure user quotas that control usage of Kafka resources to ensure, for example, that a user does not monopolize access to a broker.
When the user is created, the user credentials are created in a Secret
.
Your application needs to use the user and its credentials for authentication and to produce or consume messages.
In addition to managing credentials for authentication, the User Operator also manages authorization rules by including a description of the user’s access rights in the KafkaUser
declaration.
5. Kafka configuration
A deployment of Kafka components to a Kubernetes cluster using Strimzi is highly configurable through the application of custom resources. Custom resources are created as instances of the APIs added by CRDs to extend Kubernetes resources.
CRDs act as configuration instructions to describe the custom resources in a Kubernetes cluster, and are provided with Strimzi for each Kafka component used in a deployment. CRDs and custom resources are defined as YAML files. Example YAML files are provided with the Strimzi distribution.
In this chapter we look at how Kafka components are configured through custom resources, starting with common configuration points and then important configuration considerations specific to components.
5.1. Custom resources
After a new custom resource type is added to your cluster by installing a CRD, you can create instances of the resource based on its specification.
The custom resources for Strimzi components have common configuration properties, which are defined under spec
.
In this fragment from a Kafka topic custom resource, the apiVersion
and kind
properties identify the associated CRD.
The spec
property shows configuration that defines the number of partitions and replicas for the topic.
Kafka topic custom resource
apiVersion: kafka.strimzi.io/v1beta1
kind: KafkaTopic
metadata:
name: my-topic
labels:
strimzi.io/cluster: my-cluster
spec:
partitions: 1
replicas: 1
# ...
There are many additional configuration options that can be incorporated into a YAML definition, some common and some specific to a particular component.
5.2. Common configuration
Some of the configuration options common to resources are described here. Security and metrics collection might also be adopted where applicable.
- Bootstrap servers
-
Bootstrap servers are used for host/port connection to a Kafka cluster for:
-
Kafka Connect
-
Kafka Bridge
-
Kafka MirrorMaker producers and consumers
-
- CPU and memory resources
-
You request CPU and memory resources for components. Limits specify the maximum resources that can be consumed by a given container.
Resource requests and limits for the Topic Operator and User Operator are set in the
Kafka
resource. - Logging
-
You define the logging level for the component. Logging can be defined directly (inline) or externally using a config map.
- Healthchecks
-
Healthcheck configuration introduces liveness and readiness probes to know when to restart a container (liveness) and when a container can accept traffic (readiness).
- JVM options
-
JVM options provide maximum and minimum memory allocation to optimize the performance of the component according to the platform it is running on.
- Pod scheduling
-
Pod schedules use affinity/anti-affinity rules to determine under what circumstances a pod is scheduled onto a node.
Example YAML showing common configuration
apiVersion: kafka.strimzi.io/v1beta1
kind: KafkaConnect
metadata:
name: my-cluster
spec:
# ...
bootstrapServers: my-cluster-kafka-bootstrap:9092
resources:
requests:
cpu: 12
memory: 64Gi
limits:
cpu: 12
memory: 64Gi
logging:
type: inline
loggers:
connect.root.logger.level: "INFO"
readinessProbe:
initialDelaySeconds: 15
timeoutSeconds: 5
livenessProbe:
initialDelaySeconds: 15
timeoutSeconds: 5
jvmOptions:
"-Xmx": "2g"
"-Xms": "2g"
template:
pod:
affinity:
nodeAffinity:
requiredDuringSchedulingIgnoredDuringExecution:
nodeSelectorTerms:
- matchExpressions:
- key: node-type
operator: In
values:
- fast-network
# ...
5.3. Kafka cluster configuration
A kafka cluster comprises one or more brokers. For producers and consumers to be able to access topics within the brokers, Kafka configuration must define how data is stored in the cluster, and how the data is accessed. You can configure a Kafka cluster to run with multiple broker nodes across racks.
- Storage
-
Kafka and ZooKeeper store data on disks.
Strimzi requires block storage provisioned through
StorageClass
. The file system format for storage must be XFS or EXT4. Three types of data storage are supported:- Ephemeral (Recommended for development only)
-
Ephemeral storage stores data for the lifetime of an instance. Data is lost when the instance is restarted.
- Persistent
-
Persistent storage relates to long-term data storage independent of the lifecycle of the instance.
- JBOD (Just a Bunch of Disks, suitable for Kafka only)
-
JBOD allows you to use multiple disks to store commit logs in each broker.
The disk capacity used by an existing Kafka cluster can be increased if supported by the infrastructure.
- Listeners
-
Listeners configure how clients connect to a Kafka cluster.
The following types of listener are supported:
-
Plain listener that does not use encryption
-
TLS listener that uses encryption
-
External listener for access outside of Kubernetes
External listeners expose Kafka by specifying a
type
:-
route
to use OpenShift Routes and HAProxy router -
loadbalancer
to use loadbalancer services -
nodeport
to use ports on the Kubernetes nodes -
ingress
to use Kubernetes Ingress and the NGINX Ingress Controller for Kubernetes.
-
If you are using OAuth 2.0 for token-based authentication, you can configure listeners to use the authorization server.
- Rack awareness
-
Rack awareness is a configuration feature that distributes Kafka broker pods and topic replicas across racks, which represent data centers or racks in data centers, or availability zones.
Example YAML showing Kafka configuration
apiVersion: kafka.strimzi.io/v1beta1
kind: Kafka
metadata:
name: my-cluster
spec:
kafka:
# ...
listeners:
tls:
authentication:
type: tls
external:
type: route
authentication:
type: tls
# ...
storage:
type: persistent-claim
size: 10000Gi
# ...
rack:
topologyKey: failure-domain.beta.kubernetes.io/zone
# ...
5.4. Kafka MirrorMaker configuration
To set up MirrorMaker, a source and target (destination) Kafka cluster must be running.
You can use Strimzi with MirrorMaker or MirrorMaker 2.0.
MirrorMaker
MirrorMaker uses producers and consumers to replicate data across clusters.
MirrorMaker uses:
-
Consumer configuration to consume data from the source cluster
-
Producer configuration to output data to the target cluster
Consumer and producer configuration includes any authentication and encryption settings.
A whitelist defines the topics to mirror from a source to a target cluster.
MirrorMaker 2.0
MirrorMaker 2.0 is based on the Kafka Connect framework, connectors managing the transfer of data between clusters.
MirrorMaker 2.0 uses:
-
Source cluster configuration to consume data from the source cluster
-
Target cluster configuration to output data to the target cluster
A MirrorMaker 2.0 MirrorSourceConnector
custom resource replicates topics from a source cluster to a target cluster.
The MirrorMaker 2.0 architecture supports bidirectional replication in an active/active cluster configuration, so both clusters are active and provide the same data simultaneously. A MirrorMaker 2.0 cluster is required at each target destination. This is useful if you want to make the same data available locally in different geographical locations.
Key Consumer configuration
- Consumer group identifier
-
The consumer group ID for a MirrorMaker consumer so that messages consumed are assigned to a consumer group.
- Number of consumer streams
-
A value to determine the number of consumers in a consumer group that consume a message in parallel.
- Offset commit interval
-
An offset commit interval to set the time between consuming and committing a message.
Key Producer configuration
- Cancel option for send failure
-
You can define whether a message send failure is ignored or MirrorMaker is terminated and recreated.
Example YAML showing MirrorMaker configuration
apiVersion: kafka.strimzi.io/v1beta1
kind: KafkaMirrorMaker
metadata:
name: my-mirror-maker
spec:
# ...
consumer:
bootstrapServers: my-source-cluster-kafka-bootstrap:9092
groupId: "my-group"
numStreams: 2
offsetCommitInterval: 120000
# ...
producer:
# ...
abortOnSendFailure: false
# ...
whitelist: "my-topic|other-topic"
# ...
5.5. Kafka Connect configuration
A basic Kafka Connect configuration requires a bootstrap address to connect to a Kafka cluster, and encryption and authentication details.
Kafka Connect instances are configured by default with the same:
-
Group ID for the Kafka Connect cluster
-
Kafka topic to store the connector offsets
-
Kafka topic to store connector and task status configurations
-
Kafka topic to store connector and task status updates
If multiple different Kafka Connect instances are used, these settings must reflect each instance.
Example YAML showing Kafka Connect configuration
apiVersion: kafka.strimzi.io/v1beta1
kind: KafkaConnect
metadata:
name: my-connect
spec:
# ...
config:
group.id: my-connect-cluster
offset.storage.topic: my-connect-cluster-offsets
config.storage.topic: my-connect-cluster-configs
status.storage.topic: my-connect-cluster-status
# ...
Connectors
Connectors are configured separately from Kafka Connect. The configuration describes the source input data and target output data to feed into and out of Kafka Connect. The external source data must reference specific topics that will store the messages.
Kafka provides two built-in connectors:
-
FileStreamSourceConnector
streams data from an external system to Kafka, reading lines from an input source and sending each line to a Kafka topic. -
FileStreamSinkConnector
streams data from Kafka to an external system, reading messages from a Kafka topic and creating a line for each in an output file.
You can add other connectors using connector plugins, which are a set of JAR files that define the implementation required to connect to certain types of external system.
You create a custom Kafka Connect image that uses new Kafka Connect plugins.
To create the image, you can use:
-
A Kafka container image on Docker Hub as a base image
-
OpenShift builds and the Source-to-Image (S2I) framework to create new container images
Managing connectors
You can use the KafkaConnector
resource or the Kafka Connect REST API to create and manage connector instances in a Kafka Connect cluster.
The KafkaConnector
resource offers a Kubernetes-native approach, and is managed by the Cluster Operator.
The spec
for the KafkaConnector
resource specifies the connector class and configuration settings, as well as the maximum number of connector tasks to handle the data.
Example YAML showing KafkaConnector configuration
apiVersion: kafka.strimzi.io/v1beta1
kind: KafkaConnector
metadata:
name: my-source-connector
labels:
strimzi.io/cluster: my-connect-cluster
spec:
class: org.apache.kafka.connect.file.FileStreamSourceConnector
tasksMax: 2
config:
file: "/opt/kafka/LICENSE"
topic: my-topic
# ...
You enable KafkaConnectors
by adding an annotation to the KafkaConnect
resource.
Example YAML showing annotation to enable KafkaConnector
apiVersion: kafka.strimzi.io/v1beta1
kind: KafkaConnect
metadata:
name: my-connect
annotations:
strimzi.io/use-connector-resources: "true"
# ...
5.6. Kafka Bridge configuration
A Kafka Bridge configuration requires a bootstrap server specification for the Kafka cluster it connects to, as well as any encryption and authentication options required.
Kafka Bridge consumer and producer configuration is standard, as described in the Apache Kafka configuration documentation for consumers and Apache Kafka configuration documentation for producers.
HTTP-related configuration options set the port connection which the server listens on.
Example YAML showing Kafka Bridge configuration
apiVersion: kafka.strimzi.io/v1alpha1
kind: KafkaBridge
metadata:
name: my-bridge
spec:
# ...
bootstrapServers: my-cluster-kafka:9092
http:
port: 8080
consumer:
config:
auto.offset.reset: earliest
producer:
config:
delivery.timeout.ms: 300000
# ...
6. Securing Kafka
A secure deployment of Strimzi can encompass:
-
Encryption for data exchange
-
Authentication to prove identity
-
Authorization to allow or decline actions executed by users
6.1. Encryption
Strimzi supports Transport Layer Security (TLS), a protocol for encrypted communication.
Communication is always encrypted for communication between:
-
Kafka brokers
-
ZooKeeper nodes
-
Operators and Kafka brokers
-
Operators and ZooKeeper nodes
-
Kafka Exporter
You can also configure TLS between Kafka brokers and clients by applying TLS encryption to the listeners of the Kafka broker. TLS is specified for external clients when configuring an external listener.
Strimzi components and Kafka clients use digital certificates for encryption. The Cluster Operator sets up certificates to enable encryption within the Kafka cluster. You can provide your own server certificates, referred to as Kafka listener certificates, for communication between Kafka clients and Kafka brokers, and inter-cluster communication.
Strimzi uses Secrets to store the certificates and private keys required for TLS in PEM and PKCS #12 format.
A TLS Certificate Authority (CA) issues certificates to authenticate the identity of a component. Strimzi verifies the certificates for the components against the CA certificate.
-
Strimzi components are verified against the cluster CA Certificate Authority (CA)
-
Kafka clients are verified against the clients CA Certificate Authority (CA)
As ZooKeeper does not have native support for TLS, a TLS sidecar deployment with ZooKeeper allows the Cluster Operator to provide data encryption and authentication between ZooKeeper nodes in a cluster.
6.2. Authentication
Kafka listeners use authentication to ensure a secure client connection to the Kafka cluster.
Supported authentication mechanisms:
-
TLS client authentication
-
SASL SCRAM-SHA-512
-
OAuth 2.0 token based authentication
The User Operator manages user credentials for TLS and SCRAM authentication, but not OAuth 2.0. For example, through the User Operator you can create a user representing a client that requires access to the Kafka cluster, and specify TLS as the authentication type.
Using OAuth 2.0 token based authentication, application clients can access Kafka brokers without exposing account credentials. An authorization server handles the granting of access and inquiries about access.
6.3. Authorization
You can apply authorization to a Kafka cluster using SimpleACLAuthorizer
.
If applied to a Kafka cluster, authorization is enabled for all listeners used for client connection.
SimpleACLAuthorizer
uses Access Control Lists (ACLs) to define which users have access to which resources.
Super users provide user access to all resources in a Kafka cluster or to a specific broker.
7. Monitoring
Monitoring data allows you to monitor the performance and health of Strimzi. You can configure your deployment to capture metrics data for analysis and notifications.
Metrics data is useful when investigating issues with connectivity and data delivery. For example, metrics data can identify under-replicated partitions or the rate at which messages are consumed. Alerting rules can provide time-critical notifications on such metrics through a specified communications channel. Monitoring visualizations present real-time metrics data to help determine when and how to update the configuration of your deployment. Example metrics configuration files are provided with Strimzi.
Distributed tracing complements the gathering of metrics data by providing a facility for end-to-end tracking of messages through Strimzi.
Strimzi can employ the following tools for metrics and monitoring:
-
Prometheus pulls metrics from Kafka, ZooKeeper and Kafka Connect clusters. The Prometheus Alertmanager plugin handles alerts and routes them to a notification service.
-
Kafka Exporter adds additional Prometheus metrics
-
Grafana provides dashboard visualizations of Prometheus metrics
-
Jaeger provides distributed tracing support to track transactions between applications
7.1. Prometheus
Prometheus can extract metrics data from Kafka, Kafka Connect and ZooKeeper.
In order to use Prometheus to obtain metrics data and provide notifications, Prometheus and the Prometheus Alertmanager plugin must be deployed. Kafka resources must also be deployed or redeployed with Prometheus configuration to expose the metrics data.
Prometheus scrapes the exposed metrics data for monitoring. Alertmanager issues notifications on conditions that indicate potential issues based on pre-defined alerting rules.
Sample metrics and alerting rules configuration files are provided with Strimzi. The sample alerting mechanism provided with Strimzi is configured to send notifications to a Slack channel.
7.2. Grafana
Grafana uses the metrics data exposed by Prometheus to present dashboard visualizations for monitoring.
A deployment of Grafana is required, with Prometheus added as a data source. Example dashboards, supplied with Strimzi as JSON files, are imported through the Grafana interface to present monitoring data.
7.3. Kafka Exporter
Kafka Exporter is an open source project to enhance monitoring of Apache Kafka brokers and clients. Kafka Exporter is deployed with a Kafka cluster to extract additional Prometheus metrics data from Kafka brokers related to offsets, consumer groups, consumer lag, and topics. You can use the Grafana dashboard provided to visualize the data collected by Prometheus from Kafka Exporter.
A sample configuration file, alerting rules and Grafana dashboard for Kafka Exporter are provided with Strimzi.
7.4. Distributed tracing
Within a Kafka deployment, distributed tracing using Jaeger is supported for:
-
MirrorMaker to trace messages from a source cluster to a target cluster
-
Kafka Connect to trace messages consumed and produced by Kafka Connect
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Kafka Bridge to trace messages consumed and produced by Kafka Bridge, and HTTP requests from client applications
Template configuration properties are set for the Kafka resources, which describe tracing environment variables.
Tracing for Kafka clients
Client applications, such as Kafka producers and consumers, can also be set up so that transactions are monitored. Clients are configured with a tracing profile, and a tracer is initialized for the client application to use.


Use the following code to create a basic inputEx UrlField.
If you use https, you might need to remove the favicon option (or provide a proxy).
You can use all the parameters from StringField, including "typeInvite":


Information on the Activities of Committees
Information on the Activities of the Credit Committee
The activities of the Credit Committee include fulfillment of the duties and powers specified in the Banking Law, the Bank’s articles of association, and other legislation issued by the BRSA; extending loans and passing decisions within the frame of authorities delegated to it by the Board of Directors, and performing other duties related to lending assigned to it by the Board of Directors.
The Credit Committee met 25 times during 2012 and passed 366 decisions.
Chairman
Hüseyin AYDIN, General Manager and Member of the Board
Members
Yusuf DAĞCAN, Deputy Chairman of the Board
Erdal ERDEM, Member of the Board
Salim ALKAN, Member of the Board
Information on the Activities of the Audit Committee
Pursuant to the Bank’s “Regulation on Management Bodies”, the Audit Committee is obliged to satisfy the duties, powers and responsibilities set out by the Banking Law and the Banking Regulation and Supervision Agency (BRSA). The Committee is responsible for the execution of the Compliance Program that will be formed pursuant to the “Regulation on Compliance Program concerning Prevention of Legalization (Laundering) of Proceeds from Crime and Financing of Terrorism” issued in relation to the enforcement of the Law on the Prevention of Legalization (Laundering) of Proceeds from Crime, and fulfills the duties, powers and responsibilities set out in the legislation issued concerning these matters.
Members
Muharrem KARSLI, Chairman of the Board
Feyzi ÇUTUR, Member of the Board
Information on the Activities of the Corporate Governance Committee
The Corporate Governance Committee monitors the Bank’s compliance with corporate governance principles and works to ensure improvements in these aspects. The Committee reports its activities in writing to the Board of Directors.
Members
Muharrem KARSLI, Chairman of the Board
Mustafa ÇETİN, Member of the Board
Information on the Activities of the Remuneration Committee
The Remuneration Committee is responsible for overseeing and supervising the remuneration practices on behalf of the Board of Directors. The Committee assesses the remuneration policy and practices within the frame of risk management to ensure that remuneration policies are aligned with the Bank’s ethical values and strategic goals, and submits its recommendations to the Board of Directors.
Members
Feyzi ÇUTUR, Member of the Board
Metin ÖZDEMİR, Member of the Board