You’ve seen how to configure and deploy pods and containers, using some of the most common configuration parameters. This section dives into additional features that are especially useful for running applications in production.
The container file system only lives as long as the container does, so when a container crashes and restarts, changes to the filesystem will be lost and the container will restart from a clean slate. To access more-persistent storage, outside the container file system, you need a volume. This is especially important to stateful applications, such as key-value stores and databases.
For example, Redis is a key-value cache and store, which we use in the guestbook and other examples. We can add a volume to it to store persistent data as follows:
apiVersion: v1
kind: ReplicationController
metadata:
name: redis
spec:
template:
metadata:
labels:
app: redis
tier: backend
spec:
# Provision a fresh volume for the pod
volumes:
- name: data
emptyDir: {}
containers:
- name: redis
image: kubernetes/redis:v1
ports:
- containerPort: 6379
# Mount the volume into the pod
volumeMounts:
- mountPath: /redis-master-data
name: data # must match the name of the volume, above
emptyDir
volumes live for the lifespan of the pod, which is longer than the lifespan of any one container, so if the container fails and is restarted, our storage will live on.
In addition to the local disk storage provided by emptyDir
, Kubernetes supports many different network-attached storage solutions, including PD on GCE and EBS on EC2, which are preferred for critical data, and will handle details such as mounting and unmounting the devices on the nodes. See the volumes doc for more details.
Many applications need credentials, such as passwords, OAuth tokens, and TLS keys, to authenticate with other applications, databases, and services. Storing these credentials in container images or environment variables is less than ideal, since the credentials can then be copied by anyone with access to the image, pod/container specification, host file system, or host Docker daemon.
Kubernetes provides a mechanism, called secrets, that facilitates delivery of sensitive credentials to applications. A Secret
is a simple resource containing a map of data. For instance, a simple secret with a username and password might look as follows:
apiVersion: v1
kind: Secret
metadata:
name: mysecret
type: Opaque
data:
password: dmFsdWUtMg0K
username: dmFsdWUtMQ0K
As with other resources, this secret can be instantiated using create
and can be viewed with get
:
$ kubectl create -f ./secret.yaml
secrets/mysecret
$ kubectl get secrets
NAME TYPE DATA
default-token-v9pyz kubernetes.io/service-account-token 2
mysecret Opaque 2
To use the secret, you need to reference it in a pod or pod template. The secret
volume source enables you to mount it as an in-memory directory into your containers.
apiVersion: v1
kind: ReplicationController
metadata:
name: redis
spec:
template:
metadata:
labels:
app: redis
tier: backend
spec:
volumes:
- name: data
emptyDir: {}
- name: supersecret
secret:
secretName: mysecret
containers:
- name: redis
image: kubernetes/redis:v1
ports:
- containerPort: 6379
# Mount the volume into the pod
volumeMounts:
- mountPath: /redis-master-data
name: data # must match the name of the volume, above
- mountPath: /var/run/secrets/super
name: supersecret
For more details, see the secrets document, example and design doc.
Secrets can also be used to pass image registry credentials.
First, create a .dockercfg
file, such as running docker login <registry.domain>
.
Then put the resulting .dockercfg
file into a secret resource. For example:
$ docker login
Username: janedoe
Password: *******
Email<EMAIL_ADDRESS>WARNING: login credentials saved in /Users/jdoe/.dockercfg.
Login Succeeded
$ echo $(cat ~/.dockercfg)
{ "https://index.docker.io/v1/": { "auth": "ZmFrZXBhc3N3b3JkMTIK", "email"<EMAIL_ADDRESS>} }
$ cat ~/.dockercfg | base64
eyAiaHR0cHM6Ly9pbmRleC5kb2NrZXIuaW8vdjEvIjogeyAiYXV0aCI6ICJabUZyWlhCaGMzTjNiM0prTVRJSyIsICJlbWFpbCI6ICJqZG9lQGV4YW1wbGUuY29tIiB9IH0K
$ cat > /tmp/image-pull-secret.yaml <<EOF
apiVersion: v1
kind: Secret
metadata:
name: myregistrykey
data:
.dockercfg: eyAiaHR0cHM6Ly9pbmRleC5kb2NrZXIuaW8vdjEvIjogeyAiYXV0aCI6ICJabUZyWlhCaGMzTjNiM0prTVRJSyIsICJlbWFpbCI6ICJqZG9lQGV4YW1wbGUuY29tIiB9IH0K
type: kubernetes.io/dockercfg
EOF
$ kubectl create -f ./image-pull-secret.yaml
secrets/myregistrykey
Now, you can create pods which reference that secret by adding an imagePullSecrets
section to a pod definition.
apiVersion: v1
kind: Pod
metadata:
name: foo
spec:
containers:
- name: foo
image: janedoe/awesomeapp:v1
imagePullSecrets:
- name: myregistrykey
Pods support running multiple containers co-located together. They can be used to host vertically integrated application stacks, but their primary motivation is to support auxiliary helper programs that assist the primary application. Typical examples are data pullers, data pushers, and proxies.
Such containers typically need to communicate with one another, often through the file system. This can be achieved by mounting the same volume into both containers. An example of this pattern would be a web server with a program that polls a git repository for new updates:
apiVersion: v1
kind: ReplicationController
metadata:
name: my-nginx
spec:
template:
metadata:
labels:
app: nginx
spec:
volumes:
- name: www-data
emptyDir: {}
containers:
- name: nginx
image: nginx
# This container reads from the www-data volume
volumeMounts:
- mountPath: /srv/www
name: www-data
readOnly: true
- name: git-monitor
image: myrepo/git-monitor
env:
- name: GIT_REPO
value: http://github.com/some/repo.git
# This container writes to the www-data volume
volumeMounts:
- mountPath: /data
name: www-data
More examples can be found in our blog article and presentation slides.
Kubernetes’s scheduler will place applications only where they have adequate CPU and memory, but it can only do so if it knows how much resources they require. The consequence of specifying too little CPU is that the containers could be starved of CPU if too many other containers were scheduled onto the same node. Similarly, containers could die unpredictably due to running out of memory if no memory were requested, which can be especially likely for large-memory applications.
If no resource requirements are specified, a nominal amount of resources is assumed. (This default is applied via a LimitRange for the default Namespace. It can be viewed with kubectl describe limitrange limits
.) You may explicitly specify the amount of resources required as follows:
apiVersion: v1
kind: ReplicationController
metadata:
name: my-nginx
spec:
replicas: 2
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx
ports:
- containerPort: 80
resources:
limits:
# cpu units are cores
cpu: 500m
# memory units are bytes
memory: 64Mi
requests:
# cpu units are cores
cpu: 500m
# memory units are bytes
memory: 64Mi
The container will die due to OOM (out of memory) if it exceeds its specified limit, so specifying a value a little higher than expected generally improves reliability. By specifying request, pod is guaranteed to be able to use that much of resource when needed. See Resource QoS for the difference between resource limits and requests.
If you’re not sure how much resources to request, you can first launch the application without specifying resources, and use resource usage monitoring to determine appropriate values.
Many applications running for long periods of time eventually transition to broken states, and cannot recover except by restarting them. Kubernetes provides liveness probes to detect and remedy such situations.
A common way to probe an application is using HTTP, which can be specified as follows:
apiVersion: v1
kind: ReplicationController
metadata:
name: my-nginx
spec:
replicas: 2
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx
ports:
- containerPort: 80
livenessProbe:
httpGet:
# Path to probe; should be cheap, but representative of typical behavior
path: /index.html
port: 80
initialDelaySeconds: 30
timeoutSeconds: 1
Other times, applications are only temporarily unable to serve, and will recover on their own. Typically in such cases you’d prefer not to kill the application, but don’t want to send it requests, either, since the application won’t respond correctly or at all. A common such scenario is loading large data or configuration files during application startup. Kubernetes provides readiness probes to detect and mitigate such situations. Readiness probes are configured similarly to liveness probes, just using the readinessProbe
field. A pod with containers reporting that they are not ready will not receive traffic through Kubernetes services.
For more details (e.g., how to specify command-based probes), see the example in the walkthrough, the standalone example, and the documentation.
Of course, nodes and applications may fail at any time, but many applications benefit from clean shutdown, such as to complete in-flight requests, when the termination of the application is deliberate. To support such cases, Kubernetes supports two kinds of notifications:
spec.terminationGracePeriodSeconds
).The specification of a pre-stop hook is similar to that of probes, but without the timing-related parameters. For example:
apiVersion: v1
kind: ReplicationController
metadata:
name: my-nginx
spec:
replicas: 2
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx
ports:
- containerPort: 80
lifecycle:
preStop:
exec:
# SIGTERM triggers a quick exit; gracefully terminate instead
command: ["/usr/sbin/nginx","-s","quit"]
In order to achieve a reasonably high level of availability, especially for actively developed applications, it’s important to debug failures quickly. Kubernetes can speed debugging by surfacing causes of fatal errors in a way that can be display using kubectl
or the UI, in addition to general log collection. It is possible to specify a terminationMessagePath
where a container will write its ‘death rattle’?, such as assertion failure messages, stack traces, exceptions, and so on. The default path is /dev/termination-log
.
Here is a toy example:
apiVersion: v1
kind: Pod
metadata:
name: pod-w-message
spec:
containers:
- name: messager
image: "ubuntu:14.04"
command: ["/bin/sh","-c"]
args: ["sleep 60 && /bin/echo Sleep expired > /dev/termination-log"]
The message is recorded along with the other state of the last (i.e., most recent) termination:
$ kubectl create -f ./pod.yaml
pods/pod-w-message
$ sleep 70
$ kubectl get pods/pod-w-message -o go-template="{{range .status.containerStatuses}}{{.lastState.terminated.message}}{{end}}"
Sleep expired
$ kubectl get pods/pod-w-message -o go-template="{{range .status.containerStatuses}}{{.lastState.terminated.exitCode}}{{end}}"
0


{{(value.wins / value.gamesPlayed * 100).toFixed(0)}}% ({{value.wins}} wins out of {{value.gamesPlayed}} games)
{{value.champName}}
See which champions you're best with and which champions you're best against!


8.CONCLUSION
In the introduction of this dissertation I stated "that I am not only reflecting on the society in which I live, but am also trying to extend the possibilities opened up for sculpture by new electronic technologies. In the same way that cubism, via industrial society, altered the course of sculpture, I suggested that cybernetics / cyberpunk, via the electronic / information society, is leading to a new direction in sculpture."
During my studies at MEDIA-GN, I have explored how the combination of computer animation / simulation with data influx from the world wide web can be applied to art projects, specifically towards creating interactive virtual environments. After this exploration, my current view regarding sculpture can best be summed up by an answer given by Greg Lynn in an interview at "The Roelof Kiers Masterclass" [38]. When asked how he sees media changing architecture, Lynn, an architectural theorist, designer and professor at Columbia University, responded: "Architecture often thinks of itself as a very material discipline. While in fact, most of what we do is transmitted in a mediaform like drawings and computerfiles. Media makes architecture seen [sic] less about matter and a little more about information." (1997)
Initially media effects design (and thus sculpture) in a twofold way by generative design and community design. Firstly, the growing availability of cheap and powerful computational power, offers a range of new design techniques. Using computers as a generative tool, the possibility of involving large quantities of variables allow to derive more complex spatial configurations. (Hensel 1997) The future of sculpture seems to lie in the 'breeding' and evolving of form, the work of Karl Sims serving as an example. In Yield this is generated by the multiplied versions of the cornplant. Starting with a single digital modelled maize plant, I could quickly create a cornfield.
Secondly, advanced telecommunications and networking enable the immediate integration of several groups of participants into the design process via direct access to the project's dataset. Through continual available access in the development of projects, clients and specialist consultants can partake in the design process simultaneously. (Hensel 1997) This highly flexible system was applied in the production of the maize plant and combiner 3D models for Yield. All mediation taking place via email, these computer models were specialy constructed for the project in Madrid [39], and also delivered via email once completed.
Furthermore, I am interested in how projects like the Virtual Harvester can be used to generate "media events," giving rise to popular awareness of the use of the world wide web and its capacity as an inexpensive distribution network. This communication medium has enormous potential to implement and affect development programs around the world. One such project is the comic strip series Benza and Betty, drawn by my friend Jacques Coetzer for the Agriculture Research Council (ARC) in South Africa. The project aims to facilitate practical agriculture-related information to developing communities in sub-Saharan Africa. [40] Green Dish – an ongoing undertaking, is a network of people involved in the implementation of digital media and information technology in the developing world.
The Virtual Harvester is a project incorporating art and technology, striving to show how simple interaction by a few people in one part of the globe can have a tremendous impact on the lives of many people elsewhere. As such, the symbol of the "gieter" (watering-can) is an apt metaphor signifying the importance of interactive involvement. "Poverty places an intolerable burden on the human spirit. We cannot accept that it will always be with us. The modern world has the resources, the know-how and the expertise to relegate poverty to the pages of history." (James Gustave Speth, Administrator, UNDP International Day for the Eradication of Poverty, 17-10-1996)


--- layout: post title: Memory Barriers and Instruction Reordering date: type: post parent_id: '0' published: false password: '' status: pitch categories: [] tags: [] meta: _edit_last: '1' dsq_thread_id: '869941643' _su_title: '' author: login: akropp email<EMAIL_ADDRESS>display_name: akropp first_name: '' last_name: '' permalink: "/2012/09/23/memory-barriers/" ---
As if locking can't be complicated enough, you have to consider what happens with processor instruction reodering. Modern processors reorder certain instructions to make as much use of the instruction pipeline as possible. Some instructions take more time than others. For example, if you're going to do an instruction that requires you to load data from a register, now that instruction is blocked while the load occurs. Modern architectures (processors and compilers) are smart enough to let a second instruction go through while the initial instruction is blocked on the load. All sorts of crazy magic happens here but what you need to know is that just because you wrote code in a certain order does not mean it will actually get executed in that order.
Processors maintain program ordering but not physical ordering of instructions. Obviously this is problematic when you want to deal with the most up to date information. This is where the concept of a memory barrier comes into play. This is a cpu instruction that tells the processor to execute the instructions sequentially: don't reorder anything. In most languages when you create a lock you also create a memory barrier which forces things to execute in order and be as up to date as possible.


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I enjoy creating things that live on the internet. I'm currently
pursuing my Bachelors in Information Technology from NSEC, Kolkata. I
was first introduced to programming in my freshman year and since
then, I started developing Web projects.
I'll soon be joining Thoughtworks India as an Application Developer Intern. I love
Open-Source. I have also been awarded with Top Performer in GirlScript
Summer of Code by GirlScript India.
This repository is for anyone around the globe who wants to start their open-source journey with Hacktoberfest . All you have to do is choose any publically available API, and display its response on the main page. You can find all the details and step-by-step procedures to make your first PR. Let's get going!
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---
categories: tech gear
tags:
- digital
- tech gear
- camera
-
title: SJCAM SJ5000X Elite
name: SJCAM SJ5000X Elite Action Camera
price: "$129.50"
discounted: "$149.99"
additional-details:
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value:
summary: "
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specifications:
- name: Item model number
value: SJ5000X
- name: Dimensions
value: 10.3 x 5.2 x 2.5 inches
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value: 1.6 pounds
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---


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class GoCommand used to make the player go to a given Room. More...
Public Member Functions | |
| GoCommand () | |
| Constructor for GoCommand. More... | |
| boolean | execute (Player player) throws NoArgumentException,pkg_exceptions.IllegalArgumentException,UnauthorizedException |
| Make the player go to the Room through it's direction in the parameter field. More... | |
| Public Member Functions inherited from pkg_commands.Command | |
| String | getParameter () |
| Parameter field getter. More... | |
| String | getSecondParameter () |
| Second Parameter field getter. More... | |
| void | setParameter (String parameter) |
| Parameter field setter. More... | |
| void | setSecondParameter (String parameter) |
| Second Parameter field setter. More... | |
| boolean | hasParameter () |
| Return true if the parameter is null. More... | |
| boolean | hasSecondParameter () |
| Return true if the second parameter is null. More... | |
| String | getMessage () |
| Message field getter. More... | |
| boolean | hasMessage () |
| Return true if the message is equal to null or "". More... | |
| abstract boolean | execute (Player player) throws NoArgumentException,pkg_exceptions.IllegalArgumentException,UnauthorizedException |
| Process the command. More... | |
Protected Member Functions | |
| void | goRoomCheck (Room room, Player player, boolean back) throws pkg_exceptions.IllegalArgumentException,UnauthorizedException |
| Check if the wanted Room is connected to the current Room and go to this room. More... | |
| void | goRoomNoCheck (Room room, Player player, boolean back) throws pkg_exceptions.IllegalArgumentException |
| Go to the Room without checking. More... | |
| Room | getRandomRoom () |
| Get a random room from the GameEngin list or Room. More... | |
| Protected Member Functions inherited from pkg_commands.Command | |
| void | setMessage (String message) |
| Message field setter. More... | |
class GoCommand used to make the player go to a given Room.
Definition at line 15 of file GoCommand.java.
| pkg_commands.GoCommand.GoCommand | ( | ) |
| boolean pkg_commands.GoCommand.execute | ( | Player | player | ) | throws NoArgumentException,pkg_exceptions.IllegalArgumentException,UnauthorizedException |
Make the player go to the Room through it's direction in the parameter field.
| player | The player that called this command |
| NoArgumentException | When the user typed the command without parameter |
| IllegalArgumentException | When the user typed a parameter other than an available exit direction |
| UnauthorizedException | When the user isn't allowed to go to the given Room |
Definition at line 32 of file GoCommand.java.
References pkg_commands.Command.getParameter(), pkg_commands.GoCommand.getRandomRoom(), pkg_commands.GoCommand.goRoomCheck(), pkg_commands.GoCommand.goRoomNoCheck(), pkg_commands.Command.hasParameter(), and pkg_commands.Command.setMessage().
|
protected |
Get a random room from the GameEngin list or Room.
Definition at line 87 of file GoCommand.java.
Referenced by pkg_commands.GoCommand.execute().
|
protected |
Check if the wanted Room is connected to the current Room and go to this room.
| room | Room where the user want to go |
| player | The player that called this command |
| back | true if it is called via the 'back' command |
| IllegalArgumentException | When the user tries to go to null |
| UnauthorizedException | When the user isn't allowed to go to the given Room |
Definition at line 56 of file GoCommand.java.
References pkg_commands.GoCommand.goRoomNoCheck().
Referenced by pkg_commands.GoCommand.execute().
|
protected |
Go to the Room without checking.
| room | Room where the user want to go |
| player | The player that called this command |
| back | true if it is called via the 'back' command |
| IllegalArgumentException | When the user tries to go to null |
Definition at line 71 of file GoCommand.java.
References pkg_commands.Command.getMessage(), pkg_commands.Command.hasMessage(), and pkg_commands.Command.setMessage().
Referenced by pkg_commands.GoCommand.execute(), pkg_commands.GoCommand.goRoomCheck(), and pkg_commands.BeamerCommand.teleport().


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| 984 | (A) | kysses his knyghtis an-none witħ carefułł wordis |
| 989 | (C) | He kyssede his knyȝtes soone . with comely wordes |
| 971 | (D) | he kissid þe knygħtis a-none with comelicħ wordis |
| 951 | (E) | & his knyȝtes to-gydre . gadrid & seyde |
| 31 | (Ex) | he kyssed his knyghtes . . . |
| 1009 | (L) | kysseþ knyȝtes a-non with carful wordes |
| 924 | (P) | ? ?????? knyghtes ??? wi th carefułł ????es |
| 962 | (U) | he kissed knyghtes onone / witħ komeliche wordes |
| 49 | (V) | kysses his knyghtes anone . and saies with carfułł wordes |


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| Time | Topic | Speaker | Status |
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| 13:00 | Django 101 | Zaky Akhmad | ON TIME |
| 13:45 | Flask 101 | Rezha Julio | ON TIME |
| 14:30 | Python ID Code of Conduct | Farah Clara | ON TIME |
| Time | Topic | Speaker | Status |
|---|---|---|---|
| 13:00 | Django 101 | Zaky Akhmad | ON TIME |
| 13:45 | Flask 101 | Rezha Julio | ON TIME |
| 14:30 | Python ID Code of Conduct | Farah Clara | ON TIME |


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THE Belt and Road
The Belt and Road simulation contest is an educational activity. In this activity,
participants will be assigned different roles, using their knowledge and skills,
strategies and solutions for better cooperation and negotiation The Belt and Road.
All cases were based on the area of competition in the real world the way issues,
all cases shall be made by the local government, public and private sector representatives,
non government organizations and transnational corporations to work together to complete.
The purpose of the competition is to educate participants, so that they gain experience
and knowledge, better strategy, promote the The Belt and Road related project implementation.
This requires the participants to have a wealth of legal and international related knowledge,
knowledge of the process of globalization and local culture, as well as related skills such as
data collection, public speaking, debate, writing, creative and critical thinking, teamwork,
leadership, and so on.
Silk Road Economic Belt twenty-first Century Maritime Silk Road, also known as The Belt and Road plan (OBOR),
or with the road plan (BRI), is advocated by the government Chinese, connecting the Eurasian system project.
The project aims to promote the economic prosperity of the participating countries, the economic cooperation
of the countries in the region and the understanding and mutual trust between different civilizations,
and ultimately the peace and development of the world.
The Belt and Road plan to promote Asia, Europe and Africa,
the connection between. The Belt and Road plans to follow the Charter of
the United Nations, to support the peaceful development of the five principles
of mutual respect for sovereignty and territorial integrity, non aggression,
non-interference in each other's internal affairs, equality and mutual benefit
and peaceful coexistence.
The Silk Road Economic Belt connects China with the Persian Gulf and
Mediterranean Sea through Central Asia and Western Asia, and connects
China to Southeast Asia, South Asia and India ocean at sea. In twenty-first
Century, the target of the maritime silk road was to proceed from the coast of China,
through the South China Sea, the India ocean and the South Pacific, and eventually China
and Europe were joined as a route. The Belt and Road Chinese plan will have the opportunity
to use the comparative advantage of broad area, promote the economic openness.


HOMEPAGE
PORTFOLIO
CONTACT
Hello there!
You can contact me through the following given social links.
via GIPHY


Haimanot Belay
Biography
I was born and rised in Ethiopia and I come here in the USA 4 years ago. I was
trained as a teacher and now I'm changing my last long career.
Goal
Looking for position as a software developer.
Education
- Bahir Dar University: BSC in Mathematics Bahir Dar, 1997-2000
- Adiss Ababa University: Msc in mathematics specialized in numerical Analysis; Addis Ababa, 2005-2007
- Codefellows:Soft ware developer; Seattle, May 2016
Work Experiance
- Dire Dawa CSS Status:Teacher
- Bahir Dar University: Status:Lecturer
- North Seattle College: Status:Lecturer


All the options can be accessed via the menu in the top left corner of the Data Access View.
Data access preferences can be saved and loaded using the "Save" and "Load..." options.
When a preference is saved, you are prompted to name the preference. If a preference of that name has already been saved, you will be asked if you want to overwrite it. Preferences are saved by default in the directory HOME_DIRECTORY/.CONSTELLATION/DataAccessView. (The name of the file in which the preference is saved is encoded so it doesn't clash with file system limitations.) Files in this directory can be copied and deleted using your favourite file management utility.
When you select "Load...", you will be presented with a list of saved preferences. Select one from the list and select Ok. The preference will be loaded and will appear exactly as it was when it was saved. You can also remove a saved preference from here by selecting one from the list and selecting Remove.
The raw results of data access queries can be saved to files using the "Save Results" option.
When you first check the "Save Results" item, a directory chooser dialog will appear so you can select the directory that the results will be saved to. The directory will be remembered and results will be saved until you uncheck the item, even if you exit Constellation and start again.
To stop saving results, uncheck "Save Results". The next time you check it, Constellation will remember the folder that you were previously saving to, and use it as the initial directory for the directory chooser. (This is an easy way to find out where your save directory is.)
Whenever you run a data access query with "Save Results" checked, a status message will remind you where your results are being saved. If the directory has been removed, you will get an error notification and no results will be saved.
Each plugin that saves results will create one or more files in your save directory. It is up to each plugin how it names the files it creates.
Data Access plugins can be deselected after pressing the Go button via the "Deselect Plugins on Go" option.
When you check the "Deselect Plugins on Go" item, data access plugins that are ticked will be deselected after pressing "Go". This will persist until the item is unchecked.
When "Deselect Plugins on Go" is unchecked, data access plugins will remain ticked even after "Go" is pressed and will need to be unticked manually.


| Modifier and Type | Method and Description |
|---|---|
default boolean |
isAlt(int mode) |
default boolean |
isControl(int mode) |
default boolean |
isShift(int mode) |
default boolean |
isSuper(int mode) |
default void |
onButtonPress(Button button)
Called when a button is pressed.
|
default void |
onButtonSelect(Button button)
Called when a button is selected.
|
default void |
onButtonUnpress(Button button)
Called when a button is unpressed.
|
default void |
onButtonUnselect(Button button)
Called when a button is unselected.
|
default void |
onControllerActionPress(Controller controller,
ControllerAction action)
Called when a controller action is pressed.
|
default void |
onControllerActionRelease(Controller controller,
ControllerAction action)
Called when a controller action is released.
|
default void |
onControllerButtonPress(Controller controller,
ControllerButton button)
Called when a controller button is pressed.
|
default void |
onControllerButtonRelease(Controller controller,
ControllerButton button)
Called when a controller button is released.
|
default void |
onDirectionPress(Controller controller,
GamepadDirection direction)
Called when a direction is pressed.
|
default void |
onDirectionRelease(Controller controller,
GamepadDirection direction)
Called when a direction is released.
|
default void |
onKeyPress(int key,
int scancode,
int mode)
Called when a keyboard key is pressed
|
default void |
onKeyRelease(int key,
int scancode,
int mode)
Caled when a keyboard key is released
|
default void |
onPlayerConnect(Controller controller,
Controller oldController)
Called when a player is connected.
|
default void |
onPlayerDisconnect(Controller controller)
Called when a player is disconnected.
|
default boolean isShift(int mode)
mode
- the mode.true
if the shift key was pressed,
false
otherwise.default boolean isControl(int mode)
mode
- the mode.true
if the control key was pressed,
false
otherwise.default boolean isAlt(int mode)
mode
- the mode.true
if the alt key was pressed, false
otherwise.default boolean isSuper(int mode)
mode
- the mode.true
if the super key was pressed,
false
otherwise.default void onKeyPress(int key, int scancode, int mode)
key
- the key.scancode
- the scancode.mode
- the mode.default void onKeyRelease(int key, int scancode, int mode)
key
- the key.scancode
- the scancode.mode
- the mode.default void onButtonSelect(Button button)
button
- the button that was selected.default void onButtonUnselect(Button button)
button
- the button that was unselected.default void onButtonPress(Button button)
button
- the button that was pressed.default void onButtonUnpress(Button button)
button
- the button that was unpressed.default void onPlayerConnect(Controller controller, Controller oldController)
controller
- the connected controller.oldController
- the controller that was previously connected in that player
slot (if there was one.)default void onPlayerDisconnect(Controller controller)
controller
- the controller that disconnected.default void onControllerButtonPress(Controller controller, ControllerButton button)
controller
- the controller that pressed the button.button
- the controller button that was pressed.default void onControllerButtonRelease(Controller controller, ControllerButton button)
controller
- the controller that released the button.button
- the controller button that was released.default void onDirectionPress(Controller controller, GamepadDirection direction)
controller
- the controller that pressed the direction.direction
- the direction that was pressed.default void onDirectionRelease(Controller controller, GamepadDirection direction)
controller
- the controller that released the direction.direction
- the action that was released.default void onControllerActionPress(Controller controller, ControllerAction action)
controller
- the controller that pressed the action.action
- the controller action that was pressed.default void onControllerActionRelease(Controller controller, ControllerAction action)
controller
- the controller that released the action.action
- the controller action that was released.


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CubeHash submission to the SHA-3 competition
First submission
In October 2008, I proposed
CubeHash80+8/1+80–224,
CubeHash80+8/1+80–256,
CubeHash80+8/1+80–384, and
CubeHash80+8/1+80–512
as SHA-3 candidates.
My submission to NIST included
along with software and test vectors.
Second submission
In July 2009,
responding to NIST clarifications of speed criteria and security criteria,
I proposed a different selection of CubeHash parameters for SHA-3:
- CubeHash160+16/32+160–224 for SHA-3–224,
- CubeHash160+16/32+160–256 for SHA-3–256,
- CubeHash160+16/32+160–384 for SHA-3–384-normal,
- CubeHash160+16/32+160–512 for SHA-3–512-normal,
- CubeHash160+16/1+160–384 for SHA-3–384-formal, and
- CubeHash160+16/1+160–512 for SHA-3–512-formal.
CubeHash16/32 is approximately 16 times faster than CubeHash8/1.
I submitted a document
to NIST describing this change in detail.
In September 2009,
I sent NIST an updated
Third submission
In November 2010,
responding to concerns regarding the short-message performance of CubeHash
(particularly for packet authentication),
I proposed a different selection of CubeHash parameters for SHA-3:
- CubeHash128, defined as CubeHash16+16/32+32–128, for AHS128;
- CubeHash160, defined as CubeHash16+16/32+32–160, for AHS160;
- CubeHash224, defined as CubeHash16+16/32+32–224, for AHS224;
- CubeHash256, defined as CubeHash16+16/32+32–256, for AHS256;
- CubeHash384, defined as CubeHash16+16/32+32–384, for AHS384;
- CubeHash512, defined as CubeHash16+16/32+32–512, for AHS512;
- CubeHash512x, defined as CubeHash16+16/1+32–512, for AHS512x; and
- CubeMAC128, defined as CubeHash16+16/32+32–128
where a 512-bit secret key is prepended to the input, for AMAC128.
I submitted a document
to NIST describing this change in detail.
Version
This is version 2010.12.03 of the submission.html web page.
|


Scheduling & Triggers¶
The Airflow scheduler monitors all tasks and all DAGs, and triggers the task instances whose dependencies have been met. Behind the scenes, it monitors and stays in sync with a folder for all DAG objects it may contain, and periodically (every minute or so) inspects active tasks to see whether they can be triggered.
The Airflow scheduler is designed to run as a persistent service in an
Airflow production environment. To kick it off, all you need to do is
execute airflow scheduler
. It will use the configuration specified in
airflow.cfg
.
Note that if you run a DAG on a schedule_interval
of one day,
the run stamped 2016-01-01
will be trigger soon after 2016-01-01T23:59
.
In other words, the job instance is started once the period it covers
has ended.
Let’s Repeat That The scheduler runs your job one schedule_interval
AFTER the
start date, at the END of the period.
The scheduler starts an instance of the executor specified in the your
airflow.cfg
. If it happens to be the LocalExecutor
, tasks will be
executed as subprocesses; in the case of CeleryExecutor
and
MesosExecutor
, tasks are executed remotely.
To start a scheduler, simply run the command:
airflow scheduler
DAG Runs¶
A DAG Run is an object representing an instantiation of the DAG in time.
Each DAG may or may not have a schedule, which informs how DAG Runs
are
created. schedule_interval
is defined as a DAG arguments, and receives
preferably a
cron expression as
a str
, or a datetime.timedelta
object. Alternatively, you can also
use one of these cron “preset”:
| preset | meaning | cron |
|---|---|---|
None |
Don’t schedule, use for exclusively “externally triggered” DAGs | |
@once |
Schedule once and only once | |
@hourly |
Run once an hour at the beginning of the hour | 0 * * * * |
@daily |
Run once a day at midnight | 0 0 * * * |
@weekly |
Run once a week at midnight on Sunday morning | 0 0 * * 0 |
@monthly |
Run once a month at midnight of the first day of the month | 0 0 1 * * |
@yearly |
Run once a year at midnight of January 1 | 0 0 1 1 * |
Note: Use schedule_interval=None
and not schedule_interval='None'
when
you don’t want to schedule your DAG.
Your DAG will be instantiated
for each schedule, while creating a DAG Run
entry for each schedule.
DAG runs have a state associated to them (running, failed, success) and informs the scheduler on which set of schedules should be evaluated for task submissions. Without the metadata at the DAG run level, the Airflow scheduler would have much more work to do in order to figure out what tasks should be triggered and come to a crawl. It might also create undesired processing when changing the shape of your DAG, by say adding in new tasks.
Backfill and Catchup¶
An Airflow DAG with a start_date
, possibly an end_date
, and a schedule_interval
defines a
series of intervals which the scheduler turn into individual Dag Runs and execute. A key capability of
Airflow is that these DAG Runs are atomic, idempotent items, and the scheduler, by default, will examine
the lifetime of the DAG (from start to end/now, one interval at a time) and kick off a DAG Run for any
interval that has not been run (or has been cleared). This concept is called Catchup.
If your DAG is written to handle its own catchup (IE not limited to the interval, but instead to “Now”
for instance.), then you will want to turn catchup off (Either on the DAG itself with dag.catchup =
False
) or by default at the configuration file level with catchup_by_default = False
. What this
will do, is to instruct the scheduler to only create a DAG Run for the most current instance of the DAG
interval series.
"""
Code that goes along with the Airflow tutorial located at:
https://github.com/airbnb/airflow/blob/master/airflow/example_dags/tutorial.py
"""
from airflow import DAG
from airflow.operators.bash_operator import BashOperator
from datetime import datetime, timedelta
default_args = {
'owner': 'airflow',
'depends_on_past': False,
'start_date': datetime(2015, 12, 1),
'email'<EMAIL_ADDRESS>'email_on_failure': False,
'email_on_retry': False,
'retries': 1,
'retry_delay': timedelta(minutes=5),
'schedule_interval': '@hourly',
}
dag = DAG('tutorial', catchup=False, default_args=default_args)
In the example above, if the DAG is picked up by the scheduler daemon on 2016-01-02 at 6 AM, (or from the
command line), a single DAG Run will be created, with an execution_date
of 2016-01-01, and the next
one will be created just after midnight on the morning of 2016-01-03 with an execution date of 2016-01-02.
If the dag.catchup
value had been True instead, the scheduler would have created a DAG Run for each
completed interval between 2015-12-01 and 2016-01-02 (but not yet one for 2016-01-02, as that interval
hasn’t completed) and the scheduler will execute them sequentially. This behavior is great for atomic
datasets that can easily be split into periods.
External Triggers¶
Note that DAG Runs
can also be created manually through the CLI while
running an airflow trigger_dag
command, where you can define a
specific run_id
. The DAG Runs
created externally to the
scheduler get associated to the trigger’s timestamp, and will be displayed
in the UI alongside scheduled DAG runs
.
To Keep in Mind¶
- The first
DAG Run
is created based on the minimumstart_date
for the tasks in your DAG. - Subsequent
DAG Runs
are created by the scheduler process, based on your DAG’sschedule_interval
, sequentially. - When clearing a set of tasks’ state in hope of getting them to re-run,
it is important to keep in mind the
DAG Run
’s state too as it defines whether the scheduler should look into triggering tasks for that run.
Here are some of the ways you can unblock tasks:
- From the UI, you can clear (as in delete the status of) individual task instances from the task instances dialog, while defining whether you want to includes the past/future and the upstream/downstream dependencies. Note that a confirmation window comes next and allows you to see the set you are about to clear. You can also clear all task instances associated with the dag.
- The CLI command
airflow clear -h
has lots of options when it comes to clearing task instance states, including specifying date ranges, targeting task_ids by specifying a regular expression, flags for including upstream and downstream relatives, and targeting task instances in specific states (failed
, orsuccess
) - Clearing a task instance will no longer delete the task instance record. Instead it updates max_tries and set the current task instance state to be None.
- Marking task instances as successful can be done through the UI. This is mostly to fix false negatives, or for instance when the fix has been applied outside of Airflow.
- The
airflow backfill
CLI subcommand has a flag to--mark_success
and allows selecting subsections of the DAG as well as specifying date ranges.


CAPTCHA Function Sample¶
Important
This sample uses a Nablarch 1.4 compliant API.
When combining with versions later than Nablarch 1.4 serie, customize as necessary.
This sample is an implementation sample of the authentication function by CAPTCHA, which is one of the security measures in web applications.
Important
The CAPTCHA used in this feature is known to be vulnerable and should not be used (possibility of image authentication being breached in a short period of time). Examine implementing a robust image authentication product (for example, Google reCAPTCHA (external site)) if image authentication is required.
Summary¶
CAPTCHA authentication is an authentication architecture used to verify that the responder is not a computer.
In this sample, an authentication image is generated in the business process, the user inputs the string drawn on the image, and authentication is performed by comparing the input string with the string in the image.
In general, CAPTCHA authentication process is often used prior to logging in.CAPTCHA implementation libraries often store the generated string in the session information and compare them with the input string.However, in Nablarch, as a general rule session information is generated after logging in, so it cannot be used.Therefore, in this sample, the management table on the database is used as a architecture of linking the input and generated strings.
Every time the CAPTCHA information is generated, the generated information is accumulated in the management table, so it becomes enlarged.Therefore, it is necessary to consider creating a batch that performs maintenance of the management table separately.
The following is a sample of the CAPTCHA information that is output using the sample.
In this sample, “kaptcha[1]” of the open source library is used for generating the CAPTCHA image.
| [1] | (1, 2) To learn more about kaptcha, visit the kaptcha site (https://code.google.com/p/kaptcha/) |
Structure¶
Shows the sample structure.
Acquisition and authentication of the CAPTCHA information is performed in the following procedure.
The procedure for incorporating the Captcha function into the application is written in the link .
In the following, the processing performed on the business screen side (outside this sample) and the processing performed by this sample are explained.
Process performed on the business screen¶
When performing CAPTCHA authentication, the necessary processing on the business screen side is shown below.
When the authentication page is displayed¶
- Use the CaptchaUtil#generateKey in the authentication page display to acquire the Identification key.
When acquiring an authentication image¶
In the authentication page, issue an HTTP request (GET) to CaptchaGenerateHandler and acquire the image for authentication.
At this time, it is necessary to specify the identification key that was acquired during the authentication page display as a request parameter.The request parameter name is fixed with
captchaKey
.Modify the source code to change the request parameter name.
When the authentication action is executed¶
- On the authentication page, send (POST) the identification key acquired at the time of display together with the input string.
- Use the CaptchaUtil#authenticate to authenticate within a business action.
Processing performed by this sample¶
The process performed by this sample when performing CAPTCHA authentication is shown below.
When the authentication page is displayed¶
- Generates the identification key of the CAPTCHA information and creates a record in the database.
When acquiring an authentication image¶
Generates the CAPTCHA information from the identification key (image and string described in the image) and updates the records on the database.
Returns the authentication image to the caller out of the generated CAPTCHA information.
At this time, the identification key acquired at the time of the authentication page display as the request parameter must be specified.The request parameter name is fixed with
captchaKey
.Modify the source code to change the request parameter name.If image generation fails due to the specification of an invalid identification key, the response with the HTTP status 400 and an empty body is returned.
When the authentication action is executed¶
- Acquire the CAPTCHA information from the database using the identification key passed from the business action.
- Compare the retrieved information with the entered string and return the result to the caller.
Class diagram¶
Responsibilities of each class¶
Class definition¶
a) Utility class
Class name Summary CaptchaGenerator A class that uses “kaptcha[1]” to generate the CAPTCHA information. CaptchaUtil Generates the identification key of the CAPTCHA information called from the business action.
Generate the CAPTCHA image using CaptchaGenerator called from CaptchaGenerateHandler and acquired from a system repository.
Compare the CAPTCHA information generated by calling from form, etc. with the input string.
b) Action class (handler)
Class name Summary CaptchaGenerateHandler Handler class that creates and returns a CAPTCHA image.
c) Other classes
Class name Summary Captcha Class that retains the generated CAPTCHA information. CaptchaDataManager Class that saves and reads the generated CAPTCHA information in the database.
Table definition¶
The definition of the CAPTCHA management table used in this sample is shown below.
CAPTCHA management (CAPTCHA_MANAGE)
The CAPTCHA management table contains the keys and generated strings of the generated CAPTCHA information. Since the image information is not used for determination, it is not stored.
Logical name Physical name Java type Limitations Identification key CAPTCHA_KEY java.lang.String Primary key CAPTCHA string CAPTCHA_TEXT java.lang.String Date and time of generation GENERATE_DATE_TIME java.sql.Timestamp
Tip
Only the attributes required for this sample are listed in the above table definition. In the Nablarch implementation project, design the table to meet the requirements, such as adding the required management information to the table.
How to Use¶
This section describes how to use the CAPTCHA function.
How to Use CaptchaUtil¶
This section describes how to use CaptchaUtil.
CaptchaUtil implements the following utility methods. Since the component name when retrieving the component from the system repository must be matched to each component name registered in How to configure the CaptchaGenerateHandler described below, the source code needs to be modified to register with a component name that is different from the above configuration example.
| Method | |
|---|---|
| generateKey | Generate an identification key and save it in the database.Also, return the generated identification key to the caller. RandomUUID of java.util.UUID is used to generate the identification key. Although the possibility of duplication is unlikely to be a practical problem, but if you want to use a more unique key and want to use another generation method then modify the source code. |
| generateImage | From the system repository, get captchaGenerator under the component name captchaGenerator, generate CAPTCHA information, and store it in the database. This method is used with CaptchaGenerateHandler and is not used from business actions. |
| authenticate | Use the identification key passed by the caller to retrieve the previously generated CAPTCHA information from the database. Compare the retrieved information with the entered string and return the result to the caller. |
How to configure the CaptchaGenerateHandler¶
This section describes how to configure the CaptchaGenerateHandler.
<!-- CaptchaGenerator configuration --> <component name="captchaGenerator" class="please.change.me.common.captcha.CaptchaGenerator"> <property name="imageType" value="jpg"/> <property name="configParameters"> <map> <entry key="kaptcha.textproducer.char.string" value="abcdegfynmnpwx" /> <entry key="kaptcha.textproducer.char.length" value="4" /> </map> </property> </component> <!-- CaptchaGenerateHandler configuration--> <component name="captchaGenerateHandler" class="please.change.me.common.captcha.CaptchaGenerateHandler"/> <!-- Handler queue structure --> <component name="webFrontController" class="nablarch.fw.web.servlet.WebFrontController"> <property name="handlerQueue"> <list> ～(Middle is omitted)～ <component class="nablarch.fw.RequestHandlerEntry"> <property name="requestPattern" value="/action/path/to/hoge"/> <property name="handler" ref="captchaGenerateHandler"/> </component> ～(Middle is omitted)～ </list> </property> </component>
For captchaGenerator components, the following property settings can be performed to control the contents of the generated string and the image format.
property name Settings imageType Define the format of the image to be generated.
The possible values are the values that can be retrieved by javax.imageio.ImageIO#getWriterFormatNames(). However, “wbmp” cannot be used.
If omitted, it will be “jpeg”.
configParameters Define the configuration value for kaptcha in Map format.
For more specific configurable values, visit the kaptcha site (https://code.google.com/p/kaptcha/wiki/ConfigParameters)
If omitted, all the set values become default values specified in kaptcha.
Precautions regarding the insertion position of the handler and settings for other handlers¶
A Captcha GenerateHandler generates CAPTCHA information and does not delegate processing to a subsequent handler in order to return an HTTP response. It is assumed that the RequestHandlerEntry is used to configure and use the request pattern, as in the above example.
In addition, as in the above example, when mapping under /action and acting as a single action, it is necessary to set additional settings for other handlers or change the contents of the request.
The following are some points to consider for other handlers included in the standard handler configuration of the web application runtime platform.
Database connection management handlers and transaction control handlers
CaptchaGenerateHandler stores management information in the database and needs to be placed after these handlers.
Nablarch custom tag control handler
GET request that does not include hidden item are considered as a tampering error by the hidden encryption function of Nablarch custom tag control handler.
This can be avoided by setting the request ID of this function in the noHiddenEncryptionRequestIds property of CustomTagConfig component.
Service availability check control handler
In order to implement it as an action, it is necessary to set the request ID and service operating state on the request table.
Permission check control handler
As described in the overview, since this function is expected to be used before login, it is necessary to set the request ID of this function in ignoreRequestIds property of authorization check handler.
How to acquire the CAPTCHA identification key¶
The following is an example implementation of the action to acquire the CAPTCHA identification key.
public HttpResponse xxxxx(HttpRequest request, ExecutionContext context) { XxxForm form = new XxxForm(); form.setCaptchaKey(CaptchaUtil.generateKey()); context.setRequestScopedVar("form", form); return new HttpResponse("/xxxx/xxxx.jsp"); }
How to acquire the CAPTCHA image¶
The following is an example of implementation of JSP to acquire the CAPTCHA image.
<n:form> <n:img src="/action/path/to/hoge?captchaKey=${form.captchaKey}" alt=""/> <n:plainHidden name="form.captchaKey"></n:plainHidden> <n:text title="Enter the character displayed" name="form.captchaValue" /> </n:form>
How to determine the input string¶
The determination of the input string is assumed to be called from the validation process of the action class or form class on the server side.
An example of implementation as a form class validation process is shown below.
@ValidateFor("xxxxxxxxxx") public static void validateForCaptcha(ValidationContext<XxxForm> context) { // Single item validation ValidationUtil.validate(context, new String[]{"captchaKey", "captchaValue"}); if (!context.isValid()) { return; } // CAPTCHA string determination XxxForm form = context.createObject(); if (!CaptchaUtil.authenticate(form.getCaptchaKey(), form.getCaptchaVal())) { context.addResultMessage("captchaValue", "MSG90001"); } }
How to retrieve a CAPTCHA image when an authentication error occurs¶
When an authentication error occurs, it is necessary to reacquire the authentication image and display it on the authentication screen. However, when an authentication error occurs, an exception is thrown and the transaction is rolled back, so there is a problem that information cannot be saved in the CAPTCHA management table even if an identification key is generated by an action.
Therefore, when an authentication error occurs, generate the identification key, and acquire the CAPTCHA image by the following method.
- Use internal forward to generate identification keys and display the CAPTCHA images.
Specify the action for displaying the authentication screen in the transition destination at the time of error of Action for performing authentication process. If an internal forward is used in a standard handler configuration, the internal forward action can be handled by another transaction, thus avoiding the problem of being rolled back.
An example is shown below.
// Authentication screen display process public HttpResponse index(HttpRequest request, ExecutionContext context) { // Generate an identification key and set it in the request scope context.setRequestScopedVar("captchaKey", CaptchaUtil.generateKey()); return new HttpResponse("/WEB-INF/view/login/index.jsp"); } // Authentication process // The authentication screen display action described above will be the transition destination when an error occurs @OnErrors({ @OnError(type = ApplicationException.class, path = "forward://index"), @OnError(type = AuthenticationException.class, path = "forward://index") }) public HttpResponse login(HttpRequest request, ExecutionContext context) { // Omit authentication process }


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The {{selectedPipe.connectorId}} connector failed to load data. Check that it's configured properly. More.


PIC: Distressing Scenes Of Struggling Yesteryear Actress Mai Sorobhi
by AndrewVeteran television actress, Rhoda Mtembe, popularly known as Mai Sorobhi in the yesteryear drama “Paraffin” is reported to be languishing in poverty as economic woes take their toll. The sad state of the once plump 76-year-old is in no way consistent with someone who once had a nation glued to the television screen.
Having suffered a stroke early this year, Mtembe is now handicapped and can hardly walk. Soon after the stroke, Mtembe made an appeal to get physiotherapy assistance so that she could regain her movement abilities and maybe her dream to revive her acting career.
Mai Sorobhi was wife to the late Phillip Mushangwe in the drama series, Paraffin, where Mushangwe played the role of Paraffin.
Mtembe quit acting some years back citing that it did not pay well.
In the years following independence, Zimbabwe’s film industry was thriving. Now, the recent economic crisis is taking a toll.
For those who would want to assist Charity Mtembe Sorobhi please call<PHONE_NUMBER>. Address 1437/1 Kuwadzana extension.
To View and Apply for the latest Jobs and Vacancies in Zimbabwe, Please Visit our Sister website iHarare Jobs


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Used to demonstrate various Gems Server Functions using the built in JSP facility
Click on the
JSP Page
Entire page is JSP
Click on the
JSP Snips
Snip is added to Gems HTML page
Click on the
JSP Snips(2)
Two Snips are added to Gems HTML page


SSE Airtricity League Premier Division
Perth Glory - Dundalk FC head coach named PFAI Manager of the Year
SSE Airtricity League Premier Division
by Niall NewberryDundalk FC head coach Vinny Perth was last night named PFAI Manager of the Year at the annual awards ceremony which took place at The Marker Hotel in Dublin.
After succeeding Stephen Kenny in the Oriel Park hot-seat, Perth has enjoyed a remarkable maiden campaign in charge of the club which has yielded the SSE Airtricity League title and EA Sports Cup.
Perhaps the most impressive aspect of Dundalk’s season was turning a 13-point deficit in April into an 11-point advantage at the top of the table by October, as The Lilywhites lifted the League of Ireland trophy for the fifth time in six years.
Perth deservedly fended off competition from Stephen Bradley and Keith Long – respective managers of Shamrock Rovers and Bohemians – to collect the award his predecessor Kenny won on five occasions.
However, there was to be major disappointment for Dundalk duo and PFAI Player of the Year nominees Sean Gannon and Michael Duffy after they lost out to Shamrock Rovers and Republic of Ireland international Jack Byrne, who took home with him the biggest prize of the night.
Richie Towell and Daryl Horgan – winners of the award in 2015 and 2016 respectively – along with last year’s winner Duffy remain the only three Dundalk players ever to have picked up the accolade.
Gannon and Duffy though, along with fellow Dundalk teammates Sean Hoare, Chris Shields and Patrick Hoban were honoured on the night as part of the PFAI Premier Division Team of the Year.


Pokemon Game
Choose Your Pokemon
Pikachu
Health
200
Charizard
Health
200
Blastoise
Health
200
Venusaur
Health
200
Attack


Oh! Something just broke. Sorry...It seems that the file that you requested was not configured properly. If you think this is a serious issue, please contact me at: spillproff@gmail.com


Download
100% Responsive
Designed for mobile first
Modular
Just import what you need
Modern
Built with Flexbox
Free
Open source on GitHub


The IO Component contains a set of Java classes that provide I/O functionality above and beyond what the JDK provides out of the box.
The IO component is dependent upon the following external components for development and use:
Released.
Please see Team list.


| DOSE: |
|
oral |
MDMA |
(pill / tablet) |
I just thought I'd let you all know about my general experience with E, and qualitative differences between 2 pills and 5 pills. I must say from the start, that Ecstasy is my drug of choice. Its vastly preferable to Alcohol, and I've probably taken about 600 doses in my lifetime. i still find it very good, though there is a definite loss of 'magic'.
At 2 doses - the effects of the high are wonderful, loved up, very nice inner feelings, a highly enjoyable buzz, with a good desire to dance. At this dose, I'm not sure if anyone could be capable of violence, and the unity I feel with my surroundings and other people is wonderful. There is no body load usually at this dosage, and I believe this is a good ceiling dosage. Hallucinations are slight, but variable, usually a softening of objects. Jaw tensing is not bad, and there is next to no nausea.
At 2 doses - THE COMEDOWN - Totally bearable. The next day, I usually feel slightly high, and I've never reported a bad crash at this dose, though on some of my earlier trips, I have felt sadness as the club/rave had ended.
In the couple of days following, there is a mild, but expected level of anxiety, and a small, but appreciable level of depression, that is barely noticeable. what I call 'electrichead' (Buzzing in the brain, like electric shocks) is almost non-existant. I'm not sure yet whether 5-HTP eases the negative feelings of the comedown, but I am currently researching this. Thinking is reasonably lucid, and it is not impossible to work with this level of comedown.
At 5 pills - I have had both experiences with similar pills. When I get to the 3rd pill, there is no noticable come up. Also, at about this point, a body load kicks in, often I feel too 'stoned' to dance. Raising the dosage does nothing positive. Often I feel bloated from water, and can experience mild headaches, and achy on occasion, often experiencing nausea. This is post 'crash' (so to speak) for me. Though it doesn't feel too dangerous at these doses, I feel that my night has been wasted at this dose level, and resulting in a mongy feeling for the rest of the night.
At 5 pills - THE COMEDOWN - Can be very unbareable. The next day, I don't feel slightly high, but usually annoyed by the previous nights' experience. Tiredness sets in soon after awakening, and this lingers for several days. The anxiety can be incredible, (though I must say it depends on my typical mood), and depressive thoughts can be very common. electric head is usually very severe, this beginning 2 days after the experience and continuing for days after. there is a somewhat severe lethargy, and the anxiety/depression can be very difficult to work with. Thinking can be very difficult, as can concentrating, (As I'm studying for a degree, so I need to work).
Just thought I'd add this, as it seems I get better experiences in general with low doses than high doses. I know many people who do very high doses, I used to, but I'm trying to cut this back. An attempt to use the drug sensibly. These are just my findings, I know it varies person to person. It could be the 'loss of magic' is just a result of using too many doses at once.
Oh, I have also found that Ecstasy has this bizarre effect, where I want to chase the high (Taking multiple doses). I used to take 6 pill doses trying to chase the feeling I get from the second pill (The best I must say)
Anyway, stay safe.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Booktopia
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BCOM
MKTG
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COMP
COMM 2100
Advance Business Communication for COMM 2100
Author:
Robin Williams
Price:
50 CAD
Copies:
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Marketing
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Ship Structure is a method to determinate the local and global strength of a ship based on analytical methods and DNV rules. The method is used to check if the plates thickness are enough for the cargo and hydrostatic loads.
More can be found at the DNV Rules. Also, more about the project in GitHub, with a How To presentation.
Developed by: Alejandro Ivañez, supervised by Henrique M. Gaspar based on Arne Jan Solied strctural classes (A ShipLab web app).


Akan name originated from ghana where it was the system of naming.this naming was done according to days of the week.
Long time ago the whole of Africa was contained as a single country, Ghana. We all had a single naming culture, the Akan and to take you back to your long-lost traditions the form below will remind your name. By entering your date of birth, the African jujus working behind the scenes will spell it so feel free to take the bold step.


Click button to execute
Draw polygon or Draw line buffer
and show features selected.
Action Draw
Action LineBuffer
Remove Feature Selected


| Xmega Application Note | |||||
Chip-specific PLL management functions. More...
#include <compiler.h>
Go to the source code of this file.
Data Structures | |
| struct | pll_config |
| Hardware-specific representation of PLL configuration. More... | |
Defines | |
| #define | NR_PLLS 1 |
| #define | pll_config_defaults(cfg, pll_id) |
| #define | pll_get_default_rate(pll_id) |
| #define | PLL_MAX_HZ 200000000UL |
| #define | PLL_MIN_HZ 10000000UL |
| #define | PLL_NR_OPTIONS 0 |
Enumerations | |
| enum | pll_source { PLL_SRC_OSC0 = 0, PLL_SRC_OSC1 = 1, PLL_NR_SOURCES, PLL_SRC_RC2MHZ = OSC_PLLSRC_RC2M_gc, PLL_SRC_RC32MHZ = OSC_PLLSRC_RC32M_gc, PLL_SRC_XOSC = OSC_PLLSRC_XOSC_gc } |
Functions | |
| static uint32_t | pll_get_default_rate_priv (enum pll_source src, unsigned int mul, unsigned int div) |
| Return clock rate for specified PLL settings. | |
PLL configuration | |
| static void | pll_config_init (struct pll_config *cfg, enum pll_source src, unsigned int div, unsigned int mul) |
| Initialize PLL configuration from standard parameters. | |
| static void | pll_config_read (struct pll_config *cfg, unsigned int pll_id) |
| Read the currently active configuration of pll_id. | |
| static void | pll_config_write (const struct pll_config *cfg, unsigned int pll_id) |
| Activate the configuration cfg on pll_id. | |
Interaction with the PLL hardware | |
| static void | pll_disable (unsigned int pll_id) |
| Disable the PLL identified by pll_id. | |
| static void | pll_enable (const struct pll_config *cfg, unsigned int pll_id) |
| Activate the configuration cfg and enable PLL pll_id. | |
| static bool | pll_is_locked (unsigned int pll_id) |
| Determine whether the PLL is locked or not. |
Chip-specific PLL management functions.
Copyright (C) 2010 Atmel Corporation. All rights reserved.
Definition in file pll.h.
| Generated on Fri Oct 22 12:15:25 2010 for AVR1300 Using the Xmega ADC by 1.6.3 |


Manchester United make move for Championship ace, Pogba makes his decision, and more
by Rhys ThomasWith the international break coming to an end, focus now turns towards the return of the Premier League this weekend. Key clashes include Manchester City v Chelsea, Liverpool's trip to face Crystal Palace and Manchester United's match-up with Sheffield United.
Manchester United are looking at bringing in a Championship ace according to the Daily Mail, with Reading's Danny Loader said to be of interest.
19-year-old Loader has made 29 appearances for the Royals since breaking into the first team, and appears to have caught the eye of the Red Devils.
It remains to be seen how serious United's interest is.
In other news, Paul Pogba is said to prefer a move to Juventus than Real Madrid, and Manchester United defender Chris Smalling is the centre of a tug-of-war between Juventus, Inter Milan and Roma, with all three keen to sign him permanently.
The rest of today's headlines:
Mauricio Pochettino has been sacked as Tottenham Hotspur boss and replaced by Jose Mourinho. (Various)
Pep Guardiola's agent has refused to rule out the possibility of him leaving for Bayern Munich. (AS)
West Ham United may look to appoint Rafael Benitez if they decide to sack manager Manuel Pellegrini. (Daily Mirror)
Burnley battling Stoke City for out of contract winger, Emery given deadline, and more
£60m Arsenal target Reinier Jesus has been described as a ‘Kaka clone’. (The Sun)
Bolton accidentally named a mystery Sheffield United trialist as Kieran Phillips in an under-23s game. HITC speculate that it could be the player of the same name that is currently struggling for gametime at Everton.


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1 write to _psObject
System.Management.Automation (1)
engine\MshMemberInfo.cs (1)
3303
_psObject
= psObject;
10 references to _psObject
System.Management.Automation (10)
engine\MshMemberInfo.cs (10)
3360
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3362
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3364
foreach (PSMemberInfo member in
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3373
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_psObject
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foreach (PSMemberInfo member in
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- 1 // Some of the programming languages with which I have experience and have developed projects.
- 3Ruby
- 4JavaScript (ES6)
- 5PHP
- 6Java
- 7 // Programming languages I'm interested in learning next.
- 8 // Elixir, Python & Machine Learning
Three years ago, I developed my first web application, and I haven't stopped since then. I'm a 22-year-old self-taught developer with a passion for learning and sharing my knowledge. I enjoy facing new challenges, and I am not afraid to step out of my comfort zone. I think that's the best way to learn. Thanks to that i have been able to explore new languages and tools while developing projects, that has helped me to decide which will be the right tool for my next project.
I'm always interested in learning the latest technologies and fascinated about what I can do with them. I like to learn from the experiences of others, I find Open-source Software, Twitter, newsletters and podcasts as amazing resources to keep growing with the community. One of my main objectives as a developer is to give back something to the community. I like to contribute to Open-source Software whenever I can.
B.S. in Informatics - National Autonomous University of Mexico (UNAM) - 2014 - 2018
College has given me the opportunity to develop interesting projects. Every semester, I try to take on the most ambitious projects I can in order to continue improving my skills. Some of my accomplishments include:
I have experience with front and backend development, database design, linux web servers, RESTful API development and integration, web services and development environment creation with Vagrant.
As a person who enjoys solving logic problems, I'm most comfortable with the backend and its technologies (Ruby on Rails, PHP). However, in these days with the emerging of JavaScript libraries and frameworks, I have enjoyed using React/Redux. I apply these programming skills to solve UI problems.
I have worked with many technologies to make my work easier, more maintainable, and more organized.


To get started, read these two articles for building “the tiniest blockchain”:
Part 1: http://bit.ly/2AUFic6
Part 2: http://bit.ly/2AWktNu
Your task is to make your own implementation of “the tiniest blockchain” in ES2017 with Node.js distributed in a docker image. You should build two things:
Basic version of the blockchain, as described in the above articles
Frontend wallet application (not described in article), that allows a person to track account balance, transfer coins to another account, and show transactions history. You will be evaluated by your use of classes, async, test coverage (Istanbul + eslint), use of linter (or eslint or other for ES2017), use of OpenAPI Specifications (Swagger), and how the application looks and feels. Choose any database you prefer.
You can use third-party libraries and frameworks to simplify your work.


Called when flat button is clicked.
goFlat()
Returns undefined.
Description
This method is called when user clicks on the flat button. It is used internally, but you can use it to emulate clicking the flat button.
This method emits .onFlat event.
If you have sidebar defined in the following way:
You can click on the node:


Percentage of housing units within ½-mile of a transit stop
Residents in neighborhoods with convenient access to transit have more opportunities to use the bus or train as an alternative to vehicle travel. Individual benefits of having easily accessible and reliable public transportation includes less cost associated with owning and operating a private vehicle and potential health benefits of increased physical activity. Community benefits include improved air quality and reduced congestion on the roadways. In addition to proximity, a variety of other factors impact transit ridership including service frequency, transit cost and hours of operation, vehicle ownership and parking availability, traffic congestion levels, employment rate and employment density, and more.
####How are we doing? Overall, 68% of housing units were in proximity to public transportation in 2013, only a very slight increase from 2011. There were 3,740 bus stops and 15 light rail stations in 2013. In 2012, CATS' 323 buses drove more than 10.9 million miles, serving 2.9 million customer trips.
A study in King County, WA demonstrated that for every quarter mile increase in distance to transit, the likelihood of using transit fell by 16%.
Transit Ridership
Commuters Driving Alone
Long Commute
Population Density
Number of housing units within ½-mile of a transit stop divided by total number of housing units
Source: Charlotte Area Transit System; Mecklenburg County Tax Parcels
| Resource | Learn More and Take Action |
|---|---|
| CATS Information | Check out all of the services CATS has to offer. |
| CATS Mobile Application | CATS's mobile app with stop and route information. |
| Using Transit | Getting around Charlotte-Mecklenburg using transit. |
| LYNX Blue Line Extension | Explore the extension to the light-rail system that is slated to be operational in 2017. |
| Special Transportation Services | CATS has transportation options for those with special needs. |
| Charlotte Transportation Action Plan | The City of Charlotte's comprehensive, multi-modal transportation plan. |
| 2030 Transit System Plan | See the long-range transit plan for Mecklenburg County. |


AWS::SNS::TopicPolicy
The AWS::SNS::TopicPolicy
resource associates Amazon SNS topics with a
policy.
Topics
Syntax
To declare this entity in your AWS CloudFormation template, use the following syntax:
JSON
{ "Type" : "AWS::SNS::TopicPolicy", "Properties" : { "PolicyDocument" :
PolicyDocument
, "Topics" : [List of SNS topic ARNs, ...
] } }
YAML
Type: AWS::SNS::TopicPolicy Properties: PolicyDocument:
PolicyDocument
Topics: -List of SNS topic ARNs
Properties
PolicyDocument
-
A policy document that contains permissions to add to the specified SNS topics.
Required: Yes
JSON or YAML
Update requires: No interruption
Topics
-
The Amazon Resource Names (ARN) of the topics to which you want to add the policy. You can use the Ref function to specify an AWS::SNS::Topic resource.
Required: Yes
Type: A list of Amazon SNS topics ARNs
Update requires: No interruption
For sample AWS::SNS::TopicPolicy
snippets, see Declaring an Amazon SNS Topic Policy.


Project based work
TOP offers the user or team a collaborative way of data exploitation - in addition to standard data collections, TOP facilitates data upload, processing performance and results comparison & download. Moreover, TOP enables the provision of specific services for your project's duration in a cost- and presentation-effective way.
Data triangle
TOP is the first operational platform implementing the data triangle and therefore generating an atmospheric multi-source data cube. This enables users to the exploitation of satellite, model & in-situ data simultaneously and on-the-fly.
User interfaces
TOP has implemented various ways of accessing the platform and its data. A Graphical User Interface (GUI) addresses general visualization needs. Scientific applications are covered by the Jupyter Notebook interface, as well as the Command Line Interface (CLI).


Run Baseline Performance Tests
Blog Performance Series, part 2
Welcome to part 2 of my blog performance series. I’m Jakob Anderson, and I’m going to show you how to run some baseline performance tests on your blog. This is where we find out how your initial performance is, so we can tell where you currently stand, and whether performance has improved after we’ve changed things.
Which metrics?
Well, the first thing we need to know is:
Which metrics to measure.
- There are TONS of performance metrics floating around, all with various levels of connection to the user experience.
- Which metrics should we use?
It all depends on your users.
- What kind of experience do you want to give them?
Let’s Figure It Out
- Who are the blog’s intended users?
- What do they want from it?
- How will they consume it?
- What metrics best reflect user success with that in mind?
Who are the intended Users?
- My blog is about H.G. Wells, and has some articles about the author.
- So, I have a pretty general audience, it could contain pretty much anyone at this point.
- From High Schools students cramming for book reports,
- to adults cramming for a book club,
- or just wanting to know more about the “latest” in H.G. Wells news.
What do they want from it?
- They want informative content about H.G. Wells, I would assume.
How will they consume it?
- mobile phones, tablets,
- desktops, laptops,
- home wifi, library wifi, 3G on the way to class.
- It could be lots of things, many of which are low-bandwidth and high-latency.
What metric connects best to a good user experience, given these scenarios?
- Given that we will have some low-bandwidth, high-latency users, we will want to be sure that our pages are light in total transfer bytes, and start and complete render of our critical content very early.
- Performance Budget Guru Tim Kadlec has a great article about the different types of performance metrics here: https://timkadlec.com/2014/11/performance-budget-metrics/
- The Speed Index metric from WebpageTest will tell us how quickly the visible content renders. For text articles, that should tell us when the article is ready to read.
- Time to First Byte shows how early the first byte of HTML is downloaded. With blogs, we don’t often have control of things that affect the response time of the server, though.
- First Paint shows how early render begins, which is nice, but Speed Index covers the start to finish of the visible content, so it may be better.
- Load Time shows how early the document’s window is ready for presentation. Non-visible elements, such as analytics and such can actually inflate this metric without the user being very affected.
Metric closest to User Experience?
- So, which metric connects best to a good user experience?
- I would say Speed Index, from WebPagetest is the closest.
- According to the WebPagetest docs:
“The Speed Index is the average time at which visible parts of the page are displayed. It is expressed in milliseconds and dependent on size of the view port.” https://sites.google.com/a/webpagetest.org/docs/using-webpagetest/metrics/speed-index
Where to test for Speed Index metric?
So, where do you go to see your page’s current Speed Index score?
- For a Manual one-off test: http://www.webpagetest.org/
- For a Bulk test, you can go to the github address here: https://github.com/andydavies/WPT-Bulk-Tester
Perform initial tests of baseline performance in production
[tech demo]
- (Show different Pagetypes: home, 1, 2, 3, 4, 5)
Let’s have a look at the blog we are testing
- I found cool-looking photos from creative commons stock photos sites and put them on the blog, including the blog’s icon in the top left
- Here are the different pagetypes i created, and all of the fake content I put into them
Use Chrome Devtools > Network tab
- Throttle to Regular 3G, disable cache, see what sticks out
- Most content has arrived and is usable fairly early, but the main homepage image took 45 seconds to download 7MB.
Easy image mistakes
- I explained how I got the images from the web and then immediately re-uploaded them the way they were, which explains how this happened. This was to show how easy it is for someone to let this easy but performance-disastrous mistake happen.
Baseline Tests
[WebPagetest One-off test demo]
- Examined filmstrip and network waterfall, watched load video
[WebPagetest Bulk Tester demo]
- Ran bulk test on cable and mobile-3g, waited for results
- The numbers aren’t that great. The baseline (no content) page is over 1600 on cable, and over 6000 on mobile.

- What metric should I measure? We already decided on Speed Index.
- What pagetypes do I really have? Blank pagetype and General pagetype. Blank is the blank page for a baseline type, and General is any other page with some content.
- I choose to have performance budgets for cable and 3g connections on each of the two pagetypes.
- I committed to some performance budgets on all 4 scenarios:
Metric: Speed Index
Blank:
cable: < 1000
3g: < 3000
General:
cable: < 2000
3g: < 4000
Identify Performance Issues
- Images are too big (7MB)
- May not need jQuery (38.5K), fitvids.js (1.5K)
- May not need webfonts (34K)
- Should minify CSS file
- Should minify js files
Create Action Items
- Resize images down to size they are actually used on screen
- Recompress images to reduce filesize further
- Minify all js files
- Remove fitvids.js from shared code ( videos won’t resize to match content width anymore )
- Replace jquery menu open/close animation from index.js with vanillaJS alternative code
- Remove jquery request from shared code
- Investigate removing webfonts from shared code
- Minify css file
Thank you.
I’ve shown you how to do some baseline performance tests on your blog. I hope you got a lot of value out of it. Look forward to future videos where we pin down and fix these action items. I hope you liked watching this video and found it very informative. Please Subscribe to see many more great performance videos in the future.


Aggregated model¶
[1]:
from prayas import *
The experiment consists of multiple variants and in each variant the visitor has one ore more options to choose, but we only observe the overall success. A detailed explanation of the methodology is available in Bayesian A/B Testing for Business Decisions by Shafi Kamalbasha and Manuel J. A. Eugster (2020).
This data is the same as for the multi-option model – the experiment consists of two variants with each variant having 9
different options from which the visitor can choose. However, we are going to simulate that we are only observing the aggregated measures. The model is setup as:
[2]:
m = AggregateModel(variants=["Original", "Progressive"],
baseline="Original")
To simulate the aggregated observations, we sum up the measures also used in the multi-option model example:
[3]:
# Revenue of the 9 options per variant:
rev_a = [27.95, 47.95, 63.95,
35.95, 63.95, 79.95,
79.95, 151.95, 223.95]
rev_b = [34.95, 59.95, 79.95,
37.95, 67.95, 84.95,
69.95, 132.95, 195.95]
# Conversions of the 9 options per variant:
conv_a = [50, 5, 5, 28, 7, 5, 20, 1, 6]
conv_b = [28, 3, 6, 30, 6, 5, 27, 6, 3]
# Aggregates:
totals_rev_a = np.sum([a*b for a, b in zip(rev_a, conv_a)])
totals_rev_b = np.sum([a*b for a, b in zip(rev_b, conv_b)])
totals_conv_a = np.sum(conv_a)
totals_conv_b = np.sum(conv_b)
Compared to the one option model
and the multi-option model
, the measures are also an outcome of the experiment and set together with the result:
[4]:
m.add_measure("revenue", [totals_rev_a, totals_rev_b])
m.add_measure("gain", [totals_rev_a, totals_rev_b], [-0.06*9, -0.04*9])
m.set_result([totals_conv_a, totals_conv_b], [8067, 8082])
Investigate the result:
[5]:
m.plot();
Get details on the result:
[6]:
m.score_baseline()
[6]:
| Variant | Measure | ProbabilityToBeBest | ProbabilityToBeatBaseline | UpliftFromBaseline | PotentialLossFromBaseline | MaxUplift | MaxPotentialLoss | |
|---|---|---|---|---|---|---|---|---|
| 0 | Progressive | gain | 0.87150 | 0.86545 | 51.823793 | 3.276094 | 52.106298 | 3.219060 |
| 1 | Original | conversion | 0.79955 | 0.00000 | 0.000000 | 0.000000 | 11.428042 | 1.462822 |
| 2 | Original | revenue | 0.51010 | 0.00000 | 0.000000 | 0.000000 | 0.504426 | 7.058403 |
| 3 | Progressive | revenue | 0.48990 | 0.49145 | -0.554503 | 7.391586 | -0.501895 | 7.456368 |
| 4 | Progressive | conversion | 0.20045 | 0.19300 | -10.361264 | 11.665751 | -10.255984 | 11.554384 |
| 5 | Original | gain | 0.12850 | 0.00000 | 0.000000 | 0.000000 | -34.256503 | 36.409115 |
The comparison with the multi-options model shows a similar result.


|
Bitshares-Core
3.0.0
BitShares blockchain implementation and command-line interface software
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The proposal_delete_operation deletes an existing transaction proposalThis operation allows the early veto of a proposed transaction. It may be used by any account which is a required authority on the proposed transaction, when that account's holder feels the proposal is ill-advised and he decides he will never approve of it and wishes to put an end to all discussion of the issue. Because he is a required authority, he could simply refuse to add his approval, but this would leave the topic open for debate until the proposal expires. Using this operation, he can prevent any further breath from being wasted on such an absurd proposal. More...
#include <proposal.hpp>
Classes | |
| struct | fee_parameters_type |
Public Member Functions | |
| account_id_type | fee_payer () const |
| void | validate () const |
| Public Member Functions inherited from graphene::chain::base_operation | |
| template<typename T > | |
| share_type | calculate_fee (const T ¶ms) const |
| void | get_required_authorities (vector< authority > &) const |
| void | get_required_active_authorities (flat_set< account_id_type > &) const |
| void | get_required_owner_authorities (flat_set< account_id_type > &) const |
| void | validate () const |
| fc::optional< fc::future< void > > | validate_parallel (uint32_t skip) const |
Public Attributes | |
| account_id_type | fee_paying_account |
| bool | using_owner_authority = false |
| asset | fee |
| proposal_id_type | proposal |
| extensions_type | extensions |
Additional Inherited Members | |
| Static Public Member Functions inherited from graphene::chain::base_operation | |
| static uint64_t | calculate_data_fee (uint64_t bytes, uint64_t price_per_kbyte) |
The proposal_delete_operation deletes an existing transaction proposal
This operation allows the early veto of a proposed transaction. It may be used by any account which is a required authority on the proposed transaction, when that account's holder feels the proposal is ill-advised and he decides he will never approve of it and wishes to put an end to all discussion of the issue. Because he is a required authority, he could simply refuse to add his approval, but this would leave the topic open for debate until the proposal expires. Using this operation, he can prevent any further breath from being wasted on such an absurd proposal.
Definition at line 155 of file proposal.hpp.
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inline |
Definition at line 165 of file proposal.hpp.
| void graphene::chain::proposal_delete_operation::validate | ( | ) | const |
Definition at line 72 of file proposal.cpp.
| extensions_type graphene::chain::proposal_delete_operation::extensions |
Definition at line 163 of file proposal.hpp.
| asset graphene::chain::proposal_delete_operation::fee |
Definition at line 161 of file proposal.hpp.
| account_id_type graphene::chain::proposal_delete_operation::fee_paying_account |
Definition at line 159 of file proposal.hpp.
| proposal_id_type graphene::chain::proposal_delete_operation::proposal |
Definition at line 162 of file proposal.hpp.
| bool graphene::chain::proposal_delete_operation::using_owner_authority = false |
Definition at line 160 of file proposal.hpp.