public interface Pathfinder
| Modifier and Type | Interface and Description |
|---|---|
static interface |
Pathfinder.PathResult
Represents the result of a pathfinding calculation
|
| Modifier and Type | Method and Description |
|---|---|
boolean |
canFloat()
Checks if this pathfinder assumes that the mob can float
|
boolean |
canOpenDoors()
Checks if this pathfinder allows passing through closed doors.
|
boolean |
canPassDoors()
Checks if this pathfinder allows passing through open doors.
|
@Nullable Pathfinder.PathResult |
findPath(@NotNull LivingEntity target)
Calculates a destination for the Entity to navigate to to reach the target entity,
but does not set it as the current target.
|
@Nullable Pathfinder.PathResult |
findPath(@NotNull Location loc)
Calculates a destination for the Entity to navigate to, but does not set it
as the current target.
|
@Nullable Pathfinder.PathResult |
getCurrentPath() |
@NotNull Mob |
getEntity() |
boolean |
hasPath()
If the entity is currently trying to navigate to a destination, this will return true
|
default boolean |
moveTo(@NotNull LivingEntity target)
Calculates a destination for the Entity to navigate to to reach the target entity,
and sets it with default speed.
|
default boolean |
moveTo(@NotNull LivingEntity target,
double speed)
Calculates a destination for the Entity to navigate to to reach the target entity,
and sets it with specified speed.
|
default boolean |
moveTo(@NotNull Location loc)
Calculates a destination for the Entity to navigate to, and sets it with default speed
as the current target.
|
default boolean |
moveTo(@NotNull Location loc,
double speed)
Calculates a destination for the Entity to navigate to, with desired speed
as the current target.
|
default boolean |
moveTo(@NotNull Pathfinder.PathResult path)
Takes the result of a previous pathfinding calculation and sets it
as the active pathfinding with default speed.
|
boolean |
moveTo(@NotNull Pathfinder.PathResult path,
double speed)
Takes the result of a previous pathfinding calculation and sets it
as the active pathfinding,
|
void |
setCanFloat(boolean canFloat)
Makes this pathfinder assume that the mob can float, or not
|
void |
setCanOpenDoors(boolean canOpenDoors)
Allows this pathfinder to pass through closed doors, or not
|
void |
setCanPassDoors(boolean canPassDoors)
Allows this pathfinder to pass through open doors, or not
|
void |
stopPathfinding()
Instructs the Entity to stop trying to navigate to its current desired location
|
@NotNull @NotNull Mob getEntity()
void stopPathfinding()
boolean hasPath()
@Nullable @Nullable Pathfinder.PathResult getCurrentPath()
@Nullable @Nullable Pathfinder.PathResult findPath(@NotNull @NotNull Location loc)
loc
- Location to navigate to@Nullable @Nullable Pathfinder.PathResult findPath(@NotNull @NotNull LivingEntity target)
target
- the Entity to navigate todefault boolean moveTo(@NotNull @NotNull Location loc)
loc
- Location to navigate todefault boolean moveTo(@NotNull @NotNull Location loc, double speed)
loc
- Location to navigate tospeed
- Speed multiplier to navigate at, where 1 is 'normal'default boolean moveTo(@NotNull @NotNull LivingEntity target)
target
- the Entity to navigate todefault boolean moveTo(@NotNull @NotNull LivingEntity target, double speed)
target
- the Entity to navigate tospeed
- Speed multiplier to navigate at, where 1 is 'normal'default boolean moveTo(@NotNull @NotNull Pathfinder.PathResult path)
path
- The Path to start followingboolean moveTo(@NotNull @NotNull Pathfinder.PathResult path, double speed)
path
- The Path to start followingspeed
- Speed multiplier to navigate at, where 1 is 'normal'boolean canOpenDoors()
void setCanOpenDoors(boolean canOpenDoors)
canOpenDoors
- if the mob can pass through closed doors, or notboolean canPassDoors()
void setCanPassDoors(boolean canPassDoors)
canPassDoors
- if the mob can pass through open doors, or notboolean canFloat()
void setCanFloat(boolean canFloat)
canFloat
- if the mob can float, or notCopyright © 2021. All rights reserved.


KBUILDSYCOCA4(8) KDE User's Manual KBUILDSYCOCA4(8) NAME kbuildsycoca4 - Rebuilds the system configuration cache. SYNOPSIS kbuildsycoca4 [[--nosignal] | [--noincremental] | [--checkstamps] | [--nocheckfiles] | [--global] | [--menutest] | [--track menu-id] | [--help] | [--help-qt] | [--help-kde] | [--help-all] | [--author] | [-v, --version] | [--license]] DESCRIPTION kbuildsycoca4, as part of the KDE command line tools ensures the proper operation of KDE by reading in all the .desktop, .xml, and .protocol files to construct a binary database. KDE itself accesses this database during operation to provide configuration information a program needs to run. This tool is part of ksycoca4, which stands for KDE System Configuration Cache OPTIONS --nosignal Do not signal applications to update --noincremental Disable incremental update, re-read everything --checkstamps Check file timestamps --nocheckfiles Disable checking files (dangerous) --global Create global database --menutest Perform menu generation test run only --track menu-id Track menu id for debug purposes --help Show help about options --help-qt Show Qt specific options --help-kde Show KDE specific options --help-all Show all options --author Show author information -v , --version Show version information --license Show license information USAGE A standard way to run this program is by simply specifying the following command at the prompt kbuildsycoca4 FILES /var/tmp/kde-$USER/ksycoca4 The default directory where the cache files are stored. ENVIRONMENT VARIABLES $KDEDIRS Specifies which directories are part of the KDE installations $KDESYCOCA Specifies the path to the sycoca database file SEE ALSO kdeinit4 BUGS There are probably tons of bugs. Use bugs.kde.org[1] to report them. AUTHOR Darian Lanx<EMAIL_ADDRESS>Author. NOTES 1. bugs.kde.org http://bugs.kde.org 1.1 (KDE 4.4) 2010-01-04 KBUILDSYCOCA4(8)


{% extends 'translations/base.html' %} {% block content %}
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--- layout: post title: Integration Testing in Rails 1.1 post_id: 160 categories: - spotlight date: 2006-03-08 22:36:00.000000000 -07:00 author: Jamis permalink: 2006/3/8/integration-testing-in-rails-1-1.html summary: > Introducing and demonstrating the new integration tests feature in Rails 1.1 ---
Integration tests are a new feature of Rails 1.1 that take testing your applications to a new level. They are the next logical progression in the existing series of available tests:
This makes it easier to duplicate (in tests) bugs with session management and routing. Consider: what if you had a bug that was triggered by certain cruft accumulating in a user’s session? Hard to mimic that with functional tests.
For an example, consider a fictional financial application. We have a set of “stories” that describe how the application ought to function:
Starting with the first one, we might write something like the following. We’ll create this file (“stories_test.rb”) in the test/integration
directory:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 |
require "#{File.dirname(__FILE__)}/../test_helper" class StoriesTest < ActionController::IntegrationTest fixtures :accounts, :ledgers, :registers, :people def test_signup_new_person get "/login" assert_response :success assert_template "login/index" get "/signup" assert_response :success assert_template "signup/index" post "/signup", :name => "Bob", :user_name => "bob", :password => "secret" assert_response :redirect follow_redirect! assert_response :success assert_template "ledger/index" end end |
We can run this by typing rake test:integration
, or by invoking the file directly via ruby
.
The code is pretty straightforward: first, we get the ”/login” url and assert that the response is what we expect. Then we get the ”/signup” url, then post the data to it, and then follow the redirect through to the ledger.
However, one of the best parts of the integration framework is the ability to extract a testing DSL out of your actions, making it really easy to tell stories like this. At the simplest, we can do that by adding some methods to the test:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 |
require "#{File.dirname(__FILE__)}/../test_helper" class StoriesTest < ActionController::IntegrationTest fixtures :accounts, :ledgers, :registers, :people def test_signup_new_person go_to_login go_to_signup signup :name => "Bob", :user_name => "bob", :password => "secret" end private def go_to_login get "/login" assert_response :success assert_template "login/index" end def go_to_signup get "/signup" assert_response :success assert_template "signup/index" end def signup(options) post "/signup", options assert_response :redirect follow_redirect! assert_response :success assert_template "ledger/index" end end |
Now, you can reuse those actions in other tests, making your tests very readable and easy to build. But it can be even neater! Taking advantage of the provided open_session
method, you can create your own session instances and decorate them with custom methods. Consider this example:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 |
require "#{File.dirname(__FILE__)}/../test_helper" class StoriesTest < ActionController::IntegrationTest fixtures :accounts, :ledgers, :registers, :people def test_signup_new_person new_session do |bob| bob.goes_to_login bob.goes_to_signup bob.signs_up_with :name => "Bob", :user_name => "bob", :password => "secret" end end private module MyTestingDSL def goes_to_login get "/login" assert_response :success assert_template "login/index" end def goes_to_signup get "/signup" assert_response :success assert_template "signup/index" end def signs_up_with(options) post "/signup", options assert_response :redirect follow_redirect! assert_response :success assert_template "ledger/index" end end def new_session open_session do |sess| sess.extend(MyTestingDSL) yield sess if block_given? end end end |
The new_session
method at the bottom simply uses open_session
to create a new session and decorate it by mixing in our DSL module. By adding more methods to the MyTestingDSL
module, you build up your DSL and make your tests richer and more expressive. You can even use named routes in your tests to ensure consistency between what your application is expecting and what your tests are asserting!
1 2 3 4 |
def goes_to_login get login_url ... end |
Note that the new_session
method will actually return the new session as well. This means you could define a test that mimicked the behavior of two or more users interacting with your system at the same time:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 |
def test_multiple_users jim = new_session_as(:jim) bob = new_session_as(:bob) stacey = new_session_as(:stacey) jim.adds_account(...) bob.goes_to_preferences stacey.cancels_account end private module MyTestingDSL ... attr_reader :person def logs_in_as(person) @person = people(person) post authenticate_url, :user_name => @person.user_name, :password => @person.password is_redirected_to "ledger/list" end ... end def new_session_as(person) new_session do |sess| sess.goes_to_login sess.logs_in_as(person) yield sess if block_given? end end |
Just to further demonstrate how these DSL’s can be built, let’s implement the second of the three stories described at the beginning of this article: Jim adding a credit-card account.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 |
require "#{File.dirname(__FILE__)}/../test_helper" class StoriesTest < ActionController::IntegrationTest fixtures :accounts, :ledgers, :registers, :people ... def test_add_new_account new_session_as(:jim) do |jim| jim.selects_ledger(:jims) jim.adds_account(:name => "credit card") end end private module MyTestingDSL ... attr_accessor :ledger def is_redirected_to(template) assert_response :redirect follow_redirect! assert_response :success assert_template(template) end def selects_ledger(ledger) @ledger = ledgers(ledger) get ledger_url(:id => @ledger.id) assert_response :success assert_template "ledger/index" end def adds_account(options) post new_account_url(:id => @ledger.id), options is_redirected_to "register/index" end end ... end |
Note individual integration tests run slower than individual unit or functional tests, but that’s because they test so much more. Note that each of the tests shown above test multiple requests. Most functional tests only test one. Also, integration tests run through the entire stack, from the dispatcher, through the routes, into the controller and back. Functional tests skip straight to the controller.


The structure used by the application to define operating parameters for the mass storage device. More...
#include <usbdmsc.h>
Data Fields | |
| uint16_t | usVID |
| uint16_t | usPID |
| uint8_t | pucVendor [8] |
| uint8_t | pucProduct [16] |
| uint8_t | pucVersion [4] |
| uint16_t | usMaxPowermA |
| uint8_t | ucPwrAttributes |
| uint8_t ** | ppStringDescriptors |
| uint32_t | ulNumStringDescriptors |
| tMSCDMedia | sMediaFunctions |
| tUSBCallback | pfnEventCallback |
| tMSCInstance * | psPrivateData |
The structure used by the application to define operating parameters for the mass storage device.
| tUSBCallback tUSBDMSCDevice::pfnEventCallback |
This is the callback function for various events that occur during mass storage class operation.
| uint8_t** tUSBDMSCDevice::ppStringDescriptors |
A pointer to the string descriptor array for this device. This array must contain the following string descriptor pointers in this order. Language descriptor, Manufacturer name string (language 1), Product name string (language 1), Serial number string (language 1), MSC Interface description string (language 1), Configuration description string (language 1).
If supporting more than 1 language, the descriptor block (except for string descriptor 0) must be repeated for each language defined in the language descriptor.
| tMSCInstance* tUSBDMSCDevice::psPrivateData |
A pointer to the private instance data for this device. This memory must remain accessible for as long as the MSC device is in use and must not be modified by any code outside the MSC class driver.
| uint8_t tUSBDMSCDevice::pucProduct[16] |
16 byte vendor string.
| uint8_t tUSBDMSCDevice::pucVendor[8] |
8 byte vendor string.
| uint8_t tUSBDMSCDevice::pucVersion[4] |
4 byte vendor string
| tMSCDMedia tUSBDMSCDevice::sMediaFunctions |
This structure holds the access functions for the media used by this instance of the mass storage class device. All of the functions in this structure are required to be filled out with valid functions.
| uint8_t tUSBDMSCDevice::ucPwrAttributes |
Indicates whether the device is self or bus-powered and whether or not it supports remote wakeup. Valid values are USB_CONF_ATTR_SELF_PWR or USB_CONF_ATTR_BUS_PWR, optionally ORed with USB_CONF_ATTR_RWAKE.
| uint32_t tUSBDMSCDevice::ulNumStringDescriptors |
The number of descriptors provided in the ppStringDescriptors array. This must be 1 + ((5 + (num HID strings)) * (num languages)).
| uint16_t tUSBDMSCDevice::usMaxPowermA |
The maximum power consumption of the device, expressed in milliamps.
| uint16_t tUSBDMSCDevice::usPID |
The product ID that this device is to present in the device descriptor.
| uint16_t tUSBDMSCDevice::usVID |
The vendor ID that this device is to present in the device descriptor.


FullName :
Email :
UserName :
Password:
Role :
Employee Role
Reports To :
Employee Role
Compensation Leave:
Annual Leave
Medical Leave:


At the home screen the user is able to check the gestures assigned to the existing devices, look at his/her profile, add a new gesture or access the side-bar menu.
The user can log-in if he/she wishes in order to store the global settings of the application and access them from different devices.
A side-bar menu displays, here the user is able to add a new knocki device, look at his/her account info, edit existing devices, edit gestures or provide feedback.
To add a new device the user can enter whether its name or location with the id number and finally press sync to conclude the process.
When a new device is created no gestures are available, the user can generate them by pressing the "+" button on the bottom right corner.
The user creates the gesture by introducing on the screen the pattern that he/she wants to set to perform a specific action.
After the gesture is selected, the user can decide which action will be performed after tapping the knocki device.
The new device is ready and the gesture stays registered, if the user needs to add a new one ha can press the "+" button and repeat the process.


Snookes1516.github.io
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AGENT MAP
LINKS TIMELINE
| queued | collected | success | failure |
In this section, it's possible to split the goal-agents from the no-goal-agents that participated in an worm-operation into distinct groups.
It is also possible to compare the results of a worm-operation with other goals compatible with the adversary profile executed.
| Host paw print | Goal-agent | Platform | Executor | Last seen | PID | Group |
|---|
Goals are formulas in Conjunctive Normal Form (CNF): a conjunction
of clauses, where the clauses are a disjunction of literals.
Every literal can be a condition:
- on agent's properties.
- on host-facts collected by an agent.
A goal is achieved if at least ONE condition is satisfied for ALL the clauses.
An agent that satisfies the goal is called goal-agent.
In the AGENT MAP section it is possible to view a reconstruction of the 'agents family tree'
and any 'orphan agents'.
In the LINKS TIMELINE section, click on any row to show the details of the executed step.
Click the ★ icon to view the standard output and error from the command that was executed.
Highlighted text indicates facts which were learned from executing the step.
| queued | collected | success | failure |
| Description: | |
| Technique: | |
| Collected: | |
| Finished: | |
| Command: | |
| Executor: |
View a worm-operation report
name
adversary
starting-group
steps
planner
goal
policy
goal-agents
att&ck
| worked / failed | Tactic | Technique ID | Technique name |
|---|
facts
| Property | Count |
|---|


Use these shorthand utilities for quickly configuring how content overflows an element.
Barebones overflow
functionality is provided for two values by default, and they are not responsive.
.overflow--auto
on an element with set width and height dimensions. By design, this content will vertically scroll..overflow--hidden
on an element with set width and height dimensions.

...

...


If you click on the next button, you will enter a waiting screen.
Please be patient and wait until everyone finished reading the instructions and answering the questions.
This could take a couple of minutes.
Afterwards, you will learn your role: Seller or buyer.
There will be two test trading rounds to make you familiar with the screen and the rules.
The earnings from the test rounds do not count for payment.
After the two test rounds, there will be {{ num_of_rounds }} trading rounds.
Remember: One out of the {{ num_of_rounds }} trading rounds will be randomly chosen at the end of the game to count for payment.
The chosen round determines the money that will be added to your participation reward of {{ session.config.participation_fee }}.
One point equals {{ payoff_per_point }}. You will learn which round was chosen and the money you earned after finishing the game.
Due to technical problems or other reasons it can happen that participants drop out of the study.
To carry on with the game, automated players will take the open spots.
Such a bot will always offer the good at price equal to his production costs as a seller and bid at price equal to his valuation as a buyer.
Bots will be indicated as such. (Therefore, all other players are real human players.)


| 1 | /* | |
| 2 | * Licensed to the Apache Software Foundation (ASF) under one | |
| 3 | * or more contributor license agreements. See the NOTICE file | |
| 4 | * distributed with this work for additional information | |
| 5 | * regarding copyright ownership. The ASF licenses this file | |
| 6 | * to you under the Apache License, Version 2.0 (the | |
| 7 | * "License"); you may not use this file except in compliance | |
| 8 | * with the License. You may obtain a copy of the License at | |
| 9 | * | |
| 10 | * http://www.apache.org/licenses/LICENSE-2.0 | |
| 11 | * | |
| 12 | * Unless required by applicable law or agreed to in writing, | |
| 13 | * software distributed under the License is distributed on an | |
| 14 | * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | |
| 15 | * KIND, either express or implied. See the License for the | |
| 16 | * specific language governing permissions and limitations | |
| 17 | * under the License. | |
| 18 | */ | |
| 19 | package org.apache.myfaces.shared.trace; | |
| 20 | ||
| 21 | import java.util.Iterator; | |
| 22 | import java.util.logging.Level; | |
| 23 | import java.util.logging.Logger; | |
| 24 | ||
| 25 | /** | |
| 26 | * Trace method calls to an iterator | |
| 27 | */ | |
| 28 | public class TracingIterator<E> implements Iterator<E> | |
| 29 | { | |
| 30 | private final Iterator<E> _iterator; | |
| 31 | ||
| 32 | private final TracingSupport _tracer; | |
| 33 | ||
| 34 | public TracingIterator(Iterator<E> iterator) | |
| 35 | { | |
| 36 | _iterator = iterator; | |
| 37 | _tracer = new TracingSupport(iterator.getClass()); | |
| 38 | } | |
| 39 | ||
| 40 | public static <E> TracingIterator<E> create(Iterator<E> iterator) | |
| 41 | { | |
| 42 |
1
1. create : replaced return value with null for org/apache/myfaces/shared/trace/TracingIterator::create → NO_COVERAGE |
return new TracingIterator<E>(iterator); |
| 43 | } | |
| 44 | ||
| 45 | /** | |
| 46 | * @return the iterator | |
| 47 | */ | |
| 48 | public Iterator<E> getIterator() | |
| 49 | { | |
| 50 |
1
1. getIterator : replaced return value with null for org/apache/myfaces/shared/trace/TracingIterator::getIterator → NO_COVERAGE |
return _iterator; |
| 51 | } | |
| 52 | ||
| 53 | public boolean hasNext() | |
| 54 | { | |
| 55 |
2
1. hasNext : replaced boolean return with false for org/apache/myfaces/shared/trace/TracingIterator::hasNext → NO_COVERAGE 2. hasNext : replaced boolean return with true for org/apache/myfaces/shared/trace/TracingIterator::hasNext → NO_COVERAGE |
return _tracer.trace("hasNext", new Closure<Boolean>() |
| 56 | { | |
| 57 | public Boolean call() | |
| 58 | { | |
| 59 |
2
1. call : replaced Boolean return with False for org/apache/myfaces/shared/trace/TracingIterator$1::call → NO_COVERAGE 2. call : replaced Boolean return with True for org/apache/myfaces/shared/trace/TracingIterator$1::call → NO_COVERAGE |
return _iterator.hasNext(); |
| 60 | } | |
| 61 | }); | |
| 62 | } | |
| 63 | ||
| 64 | public E next() | |
| 65 | { | |
| 66 |
1
1. next : replaced return value with null for org/apache/myfaces/shared/trace/TracingIterator::next → NO_COVERAGE |
return _tracer.trace("next", new Closure<E>() |
| 67 | { | |
| 68 | public E call() | |
| 69 | { | |
| 70 |
1
1. call : replaced return value with null for org/apache/myfaces/shared/trace/TracingIterator$2::call → NO_COVERAGE |
return _iterator.next(); |
| 71 | } | |
| 72 | }); | |
| 73 | } | |
| 74 | ||
| 75 | public void remove() | |
| 76 | { | |
| 77 | _tracer.trace("remove", new Closure<Object>() | |
| 78 | { | |
| 79 | public Object call() | |
| 80 | { | |
| 81 |
1
1. call : removed call to java/util/Iterator::remove → NO_COVERAGE |
_iterator.remove(); |
| 82 |
1
1. call : replaced return value with null for org/apache/myfaces/shared/trace/TracingIterator$3::call → NO_COVERAGE |
return Void.class; |
| 83 | } | |
| 84 | }); | |
| 85 | } | |
| 86 | ||
| 87 | /** | |
| 88 | * @return | |
| 89 | * @see org.apache.myfaces.shared.trace.TracingSupport#getLevel() | |
| 90 | */ | |
| 91 | public Level getLevel() | |
| 92 | { | |
| 93 |
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return _tracer.getLevel(); |
| 94 | } | |
| 95 | ||
| 96 | /** | |
| 97 | * @return | |
| 98 | * @see org.apache.myfaces.shared.trace.TracingSupport#getLogger() | |
| 99 | */ | |
| 100 | public Logger getLogger() | |
| 101 | { | |
| 102 |
1
1. getLogger : replaced return value with null for org/apache/myfaces/shared/trace/TracingIterator::getLogger → NO_COVERAGE |
return _tracer.getLogger(); |
| 103 | } | |
| 104 | ||
| 105 | /** | |
| 106 | * @return | |
| 107 | * @see org.apache.myfaces.shared.trace.TracingSupport#getSourceClass() | |
| 108 | */ | |
| 109 | public String getSourceClass() | |
| 110 | { | |
| 111 |
1
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return _tracer.getSourceClass(); |
| 112 | } | |
| 113 | ||
| 114 | /** | |
| 115 | * @param level | |
| 116 | * @see org.apache.myfaces.shared.trace.TracingSupport#setLevel(java.util.logging.Level) | |
| 117 | */ | |
| 118 | public void setLevel(Level level) | |
| 119 | { | |
| 120 |
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_tracer.setLevel(level); |
| 121 | } | |
| 122 | ||
| 123 | /** | |
| 124 | * @param logger | |
| 125 | * @see org.apache.myfaces.shared.trace.TracingSupport#setLogger(java.util.logging.Logger) | |
| 126 | */ | |
| 127 | public void setLogger(Logger logger) | |
| 128 | { | |
| 129 |
1
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_tracer.setLogger(logger); |
| 130 | } | |
| 131 | ||
| 132 | /** | |
| 133 | * @param className | |
| 134 | * @see org.apache.myfaces.shared.trace.TracingSupport#setSourceClass(java.lang.String) | |
| 135 | */ | |
| 136 | public void setSourceClass(String className) | |
| 137 | { | |
| 138 |
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_tracer.setSourceClass(className); |
| 139 | } | |
| 140 | } | |
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Malta PM rejects immunity bid by top suspect in murder probe
Joseph Muscat's administration rebuffs businessman's plea for immunity in case over killing of Daphne Caruana Galizia.
Malta's Prime Minister Joseph Muscat has said his government rejected a request by a prominent businessman for immunity from prosecution in connection with the 2017 killing of investigative reporter Daphne Caruana Galizia.
Muscat announced the decision over Yorgen Fenech on Friday following an emergency cabinet meeting late on Thursday evening that dragged on for more than six hours through the night.
More:
Fenech was arrested on board a yacht leaving Malta just over a week ago and during questioning implicated former Chief of Staff Keith Schembri in the alleged murder plot.
On Thursday night, Fenech appeared in court under heavy police escort to file a constitutional application asking President George Vella - and not the government - to rule on his pardon request, citing a conflict of interest.
In the letter to the president, Fenech's lawyers said their client was prepared to give information relating to Schembri and former Tourism Minister Konrad Mizzi, who resigned on Tuesday, and former Economy Minister Chris Cardona, who has "suspended himself" from his duties.
The court is due to consider the case on Friday afternoon.
'One-woman WikiLeaks'
Muscat said the government's decision to reject Fenech's request for immunity came after advice from the Attorney General and the police that there were no grounds for the pardon to be granted.
"I leave it up to the president to decide on the constitutional merits of this letter," he said.
Muscat also said his government was "committed to investigate all allegations of illegalities", adding he wanted the probe into Caruana Galizia's death "closed under my watch".
As Muscat and his ministers met behind closed doors, police said Schembri - who was arrested on Tuesday - had been released.
His release from arrest drew an angry reaction from a crowd awaiting developments outside the office of the prime minister, accusing the government of trying to cover up Caruana Galizia's killing by a car bomb near her home.
The death of Caruana Galizia - a popular journalist and blogger described as a "one-woman WikiLeaks" who exposed corruption in Malta - shocked the country and has since sparked protests for justice.
Muscat has been heavily criticised over the government's handling of the case, and on Tuesday vowed to resign if links were found between himself and the murder.


Students¶
Current and previous students of mine are listed below.
PhD Students¶
Kristian Valen-Sendstad Computational Cerebral Hemodynamics (2008 - 2011)
Magnus Vartdal Numerical Simulation of Flow Around an Oscillating Circular Cylinder and Development of Level Set Based Numerical Methods for Two-Phase Flows (2009 - 2013)
Karen Helene Støverud Relation Between the Chiari I Malformation and Syringomyelia From a Mechanical Perspective (2009 - 2014)
Miroslav Kuchta Preconditioners for Singular Problems and Coupled Problems with Domains of Different Dimensionality (2012 - 2016)
Diako Darian (2014 - 2019) Plasma-object interactions
Tormod Landet (2014 - 2020) Discontinuous Galerkin methods for multiphase flow
Sigvald Marholm (2014 - 2019) The Unstructured Particle-In-Cell Method with Applications for Objects in Ionospheric Plasmas
Christopher Friedemann (2016 - )
Anna Pitterskaya (2019 - )
Master students¶
Magnus Vartdal Numerical modelling of aerosol dispersion inside a rotating aerosol chamber (2007 - 2009)
Jørgen Myre Modeling Turbulent Boundary Layers with Elliptic Relaxation (2009 - 2011)
Adrian Roaldssønn Analysis of a system of elliptic partial differential equations and its possible boundary conditions when discretized with Hermite and Lagrange elements (2010 - 2012)
Millad Nour CFD simulations of flow in bent pipe at high Reynolds numbers conditions (2013 - 2015)
Ola Hagemann Cool down of subsea dead-leg with a cold spot - experimental and numerical heat transfer analysis (2013 - 2015)
Joakim Bø Implementation and assessment of subgrid-scale models for large eddy simulations of incompressible turbulent flows (2013 - 2015)
Per Thomas Haga Numeriske simuleringer av adveksjons-dominert skalar-blanding anvendt på CSF-strømning og medikamenttransport (2013 - 2015)
Daniel A. Mo Søreide Houshmand CFD simulations in idealized expanded bifurcation geometry (2013 - 2015)
Daniel J. Tarplett En numerisk analyse av den seismiske bølgeligningen i forskjellige lag med materialer ved bruk av element metoden i fenics (2013 - 2015)
Aslak Bergersen Investigating the Link Between Patient-specific Morphology and Hemodynamics: Implications for Aneurism Initiation? (2114 - 2016)
Jørgen Dyremyhr Tyvand Computational fluid dynamics simulations of gravity wave flows (2015 - 2017)
Guttorm Kvaal Numerical Simulations of Pharmaceutical Particles Depositing in the Human Respiratory System (2015 - 2017)
Andreas Strøm Slyngstad “Verification and Validation of a Monolithic Fluid-Structure Interaction Solver in FEniCS” (2015 - 2017)
Sebastian Gjertsen Development of a Verified and Validated Computational Framework for Fluid-Structure Interaction: Investigating Lifting Operators and Numerical Stability (2015 - 2017)
Anna Piterskaya Spectral investigation of annular flow (2016 - 2018)
Anders Utnes Computational analysis of a drag reducing cone grid (2017 - 2018)
Karl Jacobsen The dead water phenomenon - A computational fluid dynamics study (2018)
Peter Even Killingstad A study of dead water resistance Reynolds Averaged Navier Stokes simulations of a barge moving in stratified waters (2018)
Henrik Kjeldsberg Aasen Investigating the Interaction Between Morphology of the Anterior Bend and Aneurysm Initiation (2016-2018)
Trym Erik Nielsen (2018 - )


class ExpandableFab : FloatingActionButton
The design and behavior of a Floating Action Button which can animate and expand to show optional FabOptions when clicked. It's the focal point for the ExpandableFab widget's functionality, from an end-user's perspective.
Developer Notes:
Implementation Notes:
Since
1.0.0
<init> |
Used to create an ExpandableFab programmatically (do not use the other constructor ExpandableFab(context, attributeSet) - it is for use by the Android framework when inflating an ExpandableFab via XML). This constructor keeps all optional properties of an ExpandableFab and its optional label at their default values, though you can always change these values after instantiation by using the appropriate setter methods (with the exception of orientation, which cannot be changed after instantiation). ExpandableFab(context: Context, orientation: Orientation? = Orientation.PORTRAIT)
Called by the system when creating an ExpandableFab via XML (don't call this directly). To create an ExpandableFab programmatically, use the ExpandableFab(context, orientation) constructor. ExpandableFab(context: Context, attributeSet: AttributeSet) |
closingAnimationDurationMs |
The duration (in milliseconds as a positive long) of the ExpandableFab's closing animations. Default value is 500L. var closingAnimationDurationMs: Long |
closingAnticipateTension |
The tension (as a positive float) applied on the ExpandableFab's icon to mimic an AnticipateInterpolator when it's playing its closing animations. An AnticipateInterpolator allows us to have a closing animation where the ExpandableFab's icon will begin rotating slightly backwards, before smoothly rotating forward to its default 0 degree rotation. Every multiple of 10f will be a full 360 degree rotation backwards. Default value is 2f. var closingAnticipateTension: Float |
efabColor |
The color of the ExpandableFab. Default value is your app's colorAccent. var efabColor: Int |
efabEnabled |
The enabled state of this ExpandableFab and its label. Disabled ExpandableFabs and labels will be visually distinct and unclickable. Default value is true (enabled). var efabEnabled: Boolean |
efabIcon |
The drawable to show as the ExpandableFab's icon. Default value is a white plus sign vector drawable. var efabIcon: Drawable? |
efabSize |
The size of this ExpandableFab (NOT its FabOptions. For that, see property fabOptionSize). Must be FabSize.MINI, FabSize.NORMAL, FabSize.AUTO or FabSize.CUSTOM. FabSize.CUSTOM should be used when you're setting the size of the ExpandableFab's layout_width and layout_height to a custom value manually (when using CUSTOM, make sure to also set app:fabCustomSize equal to your custom layout_width/layout_height size and app:maxImageSize equal to your icon size in order to ensure your icon is centered properly). Default value is FabSize.NORMAL. var efabSize: FabSize |
fabOptionPosition |
How each FabOption in this orientation will be positioned relative to the previous FabOption. Default value is FabOptionPosition.ABOVE. var fabOptionPosition: FabOptionPosition |
fabOptionSize |
The size of each FabOption in this orientation (NOT the size of the ExpandableFab. For that, see property efabSize). Must be FabSize.MINI, FabSize.NORMAL, FabSize.AUTO or FabSize.CUSTOM. FabSize.CUSTOM should be used when you're setting the size of the FabOptions' layout_width and layout_height to a custom value manually (when using CUSTOM, make sure to also set app:fabCustomSize equal to your custom layout_width/layout_height size and app:maxImageSize equal to your icon size in order to ensure your icon is centered properly). Default value is FabSize.MINI. var fabOptionSize: FabSize |
firstFabOptionMarginPx |
The margin (in pixels as a positive float) between the first FabOption in this orientation and the ExpandableFab itself. Depending on the size you set for the ExpandableFab, you may want this margin to be different than successiveFabOptionMarginPx. Default value is 80f. var firstFabOptionMarginPx: Float |
iconAnimationRotationDeg |
A float, in degrees, representing how much the ExpandableFab's icon will rotate when animating. When opening, the ExpandableFab will rotate from 0 to this value. When closing, the icon will rotate from this value to its initial position of 0. Default value is -135f. var iconAnimationRotationDeg: Float |
label |
The optional label attached to this ExpandableFab. The label will only be shown when its labelText is not null. Default values for the label are as follows: val label: Label |
openingAnimationDurationMs |
The duration (in milliseconds as a positive long) of the ExpandableFab's opening animations. Default value is 250L. var openingAnimationDurationMs: Long |
orientation |
The Orientation this ExpandableFab is viewable in. Default value is Orientation.PORTRAIT. var orientation: Orientation |
successiveFabOptionMarginPx |
The margin (in pixels as a positive float) between successive FabOptions in this ExpandableFab orientation. See firstFabOptionMarginPx if trying to set the margin between the first FabOption in this orientation and the ExpandableFab itself. Default value is 75f. var successiveFabOptionMarginPx: Float |
hide |
Hides the ExpandableFab and optional label. fun hide(): Unit |
onDetachedFromWindow |
Called when the view is detached from a window. At this point it no longer has a surface for drawing. Stops any animations on the ExpandableFab, as it's no longer on screen. fun onDetachedFromWindow(): Unit |
setOnClickListener |
Registers a callback to be invoked when this ExpandableFab or its label is clicked. The default behavior the ExpandableFab will be executed before this custom callback. fun setOnClickListener(onClickListener: OnClickListener?): Unit |
setSize |
Sets the size of the ExpandableFab. Overridden to ensure we never set the size to be FabSize.CUSTOM. fun setSize(size: Int): Unit |
show |
Shows the ExpandableFab and optional label. fun show(): Unit |


--- title: 'Bash and crash cricket: Visualising ball-by-ball data from #WBBL' author: Jacquie Tran date: '2021-11-14' slug: wbbl-visualisations categories: - On-field analyses tags: - women's sport - r stats - sports analytics - cricket ---
It’s been a thrilling #WBBL07 so far - the competition seems well-balanced, with every team boasting world-class athletes alongside the young guns who are the next wave of Australian talent coming through.
Coming off the back of the hotly contested Australia vs. India series, I have been glued to the TV. I thought I might as well turn my attention to another screen instead - my computer screen - and take a closer look at some key performances so far this season.
This post is a little tour of some visualisations I’ve made recently using Women’s Big Bash League (WBBL) data. It’s a long one, so use these links if you’re inclined to skip ahead:
library(here)
library(readr)
library(dplyr)
library(stringr)
library(showtext)
library(ggplot2)
library(gghighlight)
library(ggtext)
library(paletteer)
library(patchwork)
I use a few custom functions to retrieve data from Cricsheet.org, and I’m continuing to work on them over here. (Buyer beware: These custom functions “work” insofar as needing to cross your fingers and whisper sweet nothings in the general direction of RStudio while the functions run…)
# Fetch ball-by-ball data
wbbl_bbb <- fetch_cricsheet_bbb("wbbl")
# Fetch match metadata
wbbl_match_info <- fetch_cricsheet_match_info("wbbl")
What is there to say about Alyssa Healy that hasn’t already been written by a far better writer than I? (If you haven’t seen it, check out this recent feature article by Adam Burnett.)
She’s a dangerous batter at every level she plays at, so I wanted to visualise her production across seasons, compared to other batters in the WBBL.
On exploring the Cricsheet data, I noticed that there are only 10 matches from WBBL01 with ball-by-ball data, but there were 59 matches played in the 1st season of WBBL (per Wikipedia).
Additionally, when I originally worked on this plot of Healy vs. the world, it was mid-October and the first ball of #WBBL07 had yet to be bowled. Now, we are reproducing the chart as we are part-way through the current season, so the code below also omits data from any matches played so far in this 7th season.
# Data from 2015/16 (WBBL01) excluded due to only having 10 matches worth of data
# in the Cricsheet spreadsheet.
# Data from 2021/22 (WBBL07) excluded as season is currently in progress.
wbbl_bbb %>%
filter(!season %in% c("2015/16", "2021/22")) -> wbbl_bbb_tidy
The ball-by-ball data hosted by Cricsheet provides a great starting point, but a little more tidying and wrangling is needed for the purposes of understanding batting performances across WBBL seasons.
In cricket broadcasts, batting average is among the most common statistic that commentators will reference to highlight how well a player performs with willow in hand. Batting average is calculated by taking runs scored by a batter over a defined period of time and dividing it by the number of they have been dismissed over that same period.
With this formula, the batting average metric can produce a somewhat inflated measure of a batter’s performance over time, because the denominator is dismissals and not total innings batted. On top of that, the WBBL season is relatively short - in season 7, there are 14 fixtured rounds, plus semi-finals and finals. So at maximum, a batter could play 16 innings in the current season. Others will bat far fewer innings than that hypothetical maximum, so 2 or 3 not-out innings can have a sizeable influence on batting average.
All things considered, including the T20 format of the WBBL, I was more interested in Healy’s “production” in the sense of average runs scored per innings.
# Alyssa Healy compared to all players who have batted in 3+ innings in a season.
wbbl_bbb_tidy %>%
group_by(season, striker) %>%
summarise(
innings_total = length(unique(match_id)),
runs_off_bat_total = sum(runs_off_bat),
balls_faced_total = length(ball),
.groups = "keep") %>%
mutate(
runs_per_innings_avg = round(runs_off_bat_total / innings_total, 1),
strike_rate = round(runs_off_bat_total / balls_faced_total * 100, 1)) %>%
filter(innings_total > 2) -> batting_per_season
# Flag Healy's per season records
batting_per_season %>%
mutate(
is_healy = case_when(
striker == "AJ Healy" ~ 1,
TRUE ~ 0)) -> batting_per_season_healy
# Import fonts from Google Fonts
font_add_google("Roboto Condensed", "roboto_con")
font_add_google("Staatliches", "staat")
showtext_auto()
# Build plot
p <- ggplot(batting_per_season_healy,
aes(x = season, y = runs_per_innings_avg,
group = striker, colour = is_healy))
p <- p + geom_line(size = 3, colour = paletteer_d("beyonce::X25")[5])
p <- p + gghighlight(
is_healy > 0,
label_key = striker,
label_params = aes(
size = 12, force_pull = 0.1, nudge_y = 10, label.size = 2,
family = "roboto_con", label.padding = 0.5,
fill = paletteer_d("beyonce::X116")[4],
colour = paletteer_d("beyonce::X25")[5]),
unhighlighted_params = aes(size = 1),
unhighlighted_colour = paletteer_d("beyonce::X73")[7])
p <- p + labs(
title = "WBBL: Average runs scored per innings (3+ innings)",
x = NULL, y = NULL,
caption = "**Source:** Cricsheet.org // **Plot:** @jacquietran")
p <- p + theme_minimal()
p <- p + theme(
text = element_text(
size = 42, family = "roboto_con", colour = "#FFFFFF"),
plot.title = element_text(family = "staat", margin=margin(0,0,15,0)),
plot.caption = element_markdown(size = NULL, margin=margin(15,0,0,0)),
axis.text = element_text(colour = "#FFFFFF"),
legend.position = "none",
panel.grid.major = element_line(linetype = "dashed"),
panel.grid.minor = element_blank(),
plot.background = element_rect(
fill = paletteer_d("beyonce::X116")[3],
colour = NA),
panel.spacing = unit(2, "lines"),
plot.margin = unit(c(0.5,0.5,0.5,0.5), "cm"))
plot_healy_per_season <- p
plot_healy_per_season
When plotting Healy’s WBBL production against the rest of the comp, what I see is “run machine” - consistent, high-end output over the last 5 WBBL seasons.
No hyperbole: there are few better than Alyssa Healy at the crease.
Aside from scoring runs, another important aspect of batting is not losing your wicket. So how hard is it really to get the best batters out?
I would love to dive into this question using high-resolution data that reflects the biomechanics battle between bowlers and batters. Enter: Hawkeye…except that Hawkeye is only sporadically available for women’s matches, even at the highest level. As far as I know, there are no publicly available Hawkeye data sets from WBBL matches. If I’m wrong, please tell me and point me towards the good goods!
(Cody Atkinson alerted me to the bounceR
package by Richard Little, which enables access to Hawkeye data that does exist on the ICC and BCCI websites.)
In the absence of fancy Hawkeye data from the WBBL, I took a simpler route through the Cricsheet ball-by-ball data to visualise how hard it is to take the wicket of the likes of Healy, Beth Mooney, Meg Lanning, Ellyse Perry, Sophie Devine, and Heather Knight.
# Create new variable for ball number in each over
ball_number_faced <- wbbl_bbb_tidy %>%
mutate(
ball_num_in_over = sub(".*\\.", "", ball))
# Summarise number of balls faced of each ball number, per batter
ball_number_faced_summary <- ball_number_faced %>%
group_by(ball_num_in_over, striker) %>%
summarise(balls_faced = n(), .groups = "keep") %>%
ungroup()
# Dismissals by ball number
dismissals_by_ball_number <- ball_number_faced %>%
select(ball_num_in_over, striker, wicket_type) %>%
filter(!is.na(wicket_type)) %>%
group_by(ball_num_in_over, striker) %>%
summarise(dismissals_n = n(), .groups = "keep") %>%
ungroup()
The code above shapes up the ball-by-ball data to record:
I made some editorial judgments too:
With the ball-by-ball data prepared for the analysis question, we can then calculate league-wide and player-specific summary statistics for dismissals by ball number:
# Merge data and summarise to league-wide dismissals rate by ball number
dismissals_by_ball_number_summary <- left_join(
ball_number_faced_summary, dismissals_by_ball_number,
by = c("ball_num_in_over", "striker")) %>%
tidyr::replace_na(list(dismissals_n = 0)) %>%
group_by(striker) %>%
mutate(total_balls_faced = sum(balls_faced)) %>%
ungroup() %>%
mutate(dismissals_pct = round(dismissals_n / balls_faced * 100, 2)) %>%
# Include those who have faced more than 200 balls total
filter(total_balls_faced >= 200) %>%
# Exclude balls beyond 6 - infrequent occurrences
filter(ball_num_in_over < 7)
# Extract data for specific players
# Healy
dismissals_by_ball_number_summary_healy <- dismissals_by_ball_number_summary %>%
filter(striker == "AJ Healy")
# Mooney
dismissals_by_ball_number_summary_mooney <- dismissals_by_ball_number_summary %>%
filter(striker == "BL Mooney")
# Lanning
dismissals_by_ball_number_summary_lanning <- dismissals_by_ball_number_summary %>%
filter(striker == "MM Lanning")
# Perry
dismissals_by_ball_number_summary_perry <- dismissals_by_ball_number_summary %>%
filter(striker == "EA Perry")
# Devine
dismissals_by_ball_number_summary_devine <- dismissals_by_ball_number_summary %>%
filter(striker == "SFM Devine")
# Knight
dismissals_by_ball_number_summary_knight <- dismissals_by_ball_number_summary %>%
filter(striker == "HC Knight")
Here’s the code for building the plot I tweeted out. I decided to build one plot per player of interest and then “quilt” the plots together using the patchwork
package (https://github.com/thomasp85/patchwork). I’m sure you could achieve the same / similar result using ggplot2::facet_wrap()
but I just love using patchwork
…
# Define consistent plot features ----------------------------------------------
plot_features <- list(
coord_cartesian(ylim = c(0, 10)),
theme_minimal(),
theme(
text = element_text(
family = "roboto_con", colour = "#FFFFFF"),
plot.title = element_text(
size = 28, family = "staat", margin=margin(0,0,15,0)),
plot.subtitle = element_text(
size = 36, family = "staat", margin=margin(0,0,15,0)),
plot.caption = element_markdown(
size = 24, margin=margin(15,0,0,0)),
axis.text = element_text(size = 24, colour = "#FFFFFF"),
legend.position = "none",
panel.grid.major.y = element_line(linetype = "dashed"),
panel.grid.major.x = element_blank(),
panel.grid.minor = element_blank(),
plot.background = element_rect(
fill = paletteer_d("beyonce::X116")[3],
colour = NA),
panel.spacing = unit(2, "lines"),
plot.margin = unit(c(0.5,0.5,0.5,0.5), "cm"))
)
# Build plots ------------------------------------------------------------------
showtext_auto()
# Healy
p <- ggplot(dismissals_by_ball_number_summary,
aes(x = ball_num_in_over, y = dismissals_pct))
p <- p + geom_boxplot(
fill = "#FFFFFF", colour = "#FFFFFF", size = 1, alpha = 0.25,
notch = TRUE, outlier.shape = NA, coef = 0)
p <- p + geom_point(
data = dismissals_by_ball_number_summary_healy,
colour = paletteer_d("beyonce::X25")[5], size = 3)
p <- p + labs(
title = "WBBL: % dismissals by ball number",
subtitle = "AJ Healy",
x = NULL, y = NULL)
p <- p + plot_features
p1 <- p
# Mooney
p <- ggplot(dismissals_by_ball_number_summary,
aes(x = ball_num_in_over, y = dismissals_pct))
p <- p + geom_boxplot(
fill = "#FFFFFF", colour = "#FFFFFF", size = 1, alpha = 0.25,
notch = TRUE, outlier.shape = NA, coef = 0)
p <- p + geom_point(
data = dismissals_by_ball_number_summary_mooney,
colour = paletteer_d("NineteenEightyR::miami1")[5], size = 3)
p <- p + labs(
subtitle = "BL Mooney",
x = NULL, y = NULL)
p <- p + plot_features
p2 <- p
# Lanning
p <- ggplot(dismissals_by_ball_number_summary,
aes(x = ball_num_in_over, y = dismissals_pct))
p <- p + geom_boxplot(
fill = "#FFFFFF", colour = "#FFFFFF", size = 1, alpha = 0.25,
notch = TRUE, outlier.shape = NA, coef = 0)
p <- p + geom_point(
data = dismissals_by_ball_number_summary_lanning,
colour = paletteer_d("beyonce::X93")[31], size = 3)
p <- p + labs(
subtitle = "MM Lanning",
x = NULL, y = NULL)
p <- p + plot_features
p3 <- p
# Perry
p <- ggplot(dismissals_by_ball_number_summary,
aes(x = ball_num_in_over, y = dismissals_pct))
p <- p + geom_boxplot(
fill = "#FFFFFF", colour = "#FFFFFF", size = 1, alpha = 0.25,
notch = TRUE, outlier.shape = NA, coef = 0)
p <- p + geom_point(
data = dismissals_by_ball_number_summary_perry,
colour = paletteer_d("beyonce::X25")[5], size = 3)
p <- p + labs(
subtitle = "EA Perry",
x = NULL, y = NULL)
p <- p + plot_features
p4 <- p
# Devine
p <- ggplot(dismissals_by_ball_number_summary,
aes(x = ball_num_in_over, y = dismissals_pct))
p <- p + geom_boxplot(
fill = "#FFFFFF", colour = "#FFFFFF", size = 1, alpha = 0.25,
notch = TRUE, outlier.shape = NA, coef = 0)
p <- p + geom_point(
data = dismissals_by_ball_number_summary_devine,
colour = paletteer_d("NineteenEightyR::miami1")[5], size = 3)
p <- p + labs(
subtitle = "SFM Devine",
x = NULL, y = NULL)
p <- p + plot_features
p5 <- p
# Knight
p <- ggplot(dismissals_by_ball_number_summary,
aes(x = ball_num_in_over, y = dismissals_pct))
p <- p + geom_boxplot(
fill = "#FFFFFF", colour = "#FFFFFF", size = 1, alpha = 0.25,
notch = TRUE, outlier.shape = NA, coef = 0)
p <- p + geom_point(
data = dismissals_by_ball_number_summary_knight,
colour = paletteer_d("LaCroixColoR::Lime")[2], size = 3)
p <- p + labs(
subtitle = "HC Knight",
caption = "**Source:** Cricsheet.org // **Plot:** @jacquietran",
x = NULL, y = NULL)
p <- p + plot_features
p6 <- p
# Quilt the plots --------------------------------------------------------------
quilt_dismissals_by_ball_number <- (p1 + p2 + p3) / (p4 + p5 + p6)
# Display the quilted plot
quilt_dismissals_by_ball_number
My key observations (covered in this tweet thread):
Player and league summaries across seasons are great and all, but what really piques my interest with ball-by-ball / play-by-play data is using it to understand how matches unfold from moment to moment.
The very nature of cricket’s shortest format, T20, lends itself to batting aggression - recruiting for power hitters, aiming to demoralise the opposition by setting big targets, and building teams that bat deep. That last point is particularly important in T20 because aggressive batting means taking risks, and as long as there is risk taking by the batters, then the bowling side is in with a chance.
Commentators will generally focus on player strike rates in T20; that is, how many runs a batter scores for the number of balls faced. For instance, power hitters like Sophie Devine routinely achieve strike rates over 120 (i.e., 120 runs scored per 100 balls) - we can think of this as a measure of scoring efficiency.
A common perception is that snagging a wicket will slow down strike rates, but I wondered whether this is really true in the T20 context where the imperative to accelerate is paramount. Teams will also expect to lose some wickets in every innings, so I’d imagine they would recruit and train accordingly for a potent middle order and a tail that wags.
Instead of looking at player strike rates, what can we learn by analysing team strike rates?
For a more granular focus, I created a subset from the Cricsheet data that includes matches played in season 7 of the WBBL. At the time I produced my original visualisation, the ball-by-ball data included all games played up to 7 November 2021.
# Subset match metadata for WBB07 games
wbbl_match_info %>%
filter(season == "2021/22") %>%
select(
match_id, winner, winner_runs, winner_wickets, method, outcome,
eliminator) %>%
mutate(
match_id = factor(match_id)) -> wbbl07_match_info_tidy
# Subset ball-by-ball data for WBBL07 games
wbbl_bbb %>%
filter(season == "2021/22") %>%
tidyr::separate(ball, c("over_num_extracted", "ball_num")) %>%
mutate(
match_id = factor(match_id),
over_num_numeric = as.numeric(over_num_extracted) + 1,
runs_scored = runs_off_bat + extras,
ball_num = as.numeric(ball_num),
wicket_type = case_when(
wicket_type == "" ~ NA_character_,
TRUE ~ wicket_type)) %>%
group_by(match_id, innings) %>%
mutate(
temp_var = 1,
balls_cumulative = cumsum(temp_var),
runs_cumulative = cumsum(runs_scored),
runs_total = max(runs_cumulative)) %>%
ungroup() %>%
select(-temp_var) %>%
# Merge match metadata and ball-by-ball data
left_join(., wbbl07_match_info_tidy, by = "match_id") %>%
mutate(
outcome_batting_team = case_when(
outcome %in% c("no result", "tie") ~ as.character(outcome),
winner == batting_team ~ "won",
TRUE ~ "lost"),
outcome_bowling_team = case_when(
outcome %in% c("no result", "tie") ~ as.character(outcome),
winner == bowling_team ~ "won",
TRUE ~ "lost")
) -> wbbl07_bbb_tidy
Using the WBBL07 data subset, I did some further tidying to calculate team strike rates per innings:
wbbl07_bbb_tidy %>%
# Exclude matches that ended with a Super Over ("tie")
# and matches that were called off ("no result")
filter(!outcome_batting_team %in% c("tie", "no result")) %>%
group_by(match_id, innings) %>%
mutate(
rolling_strike_rate = round(
runs_cumulative / balls_cumulative * 100, 1),
wicket_ball_num = case_when(
!is.na(wicket_type) ~ balls_cumulative,
TRUE ~ NA_real_),
wicket_strike_rate = case_when(
!is.na(wicket_type) ~ rolling_strike_rate,
TRUE ~ NA_real_),
innings_description = case_when(
innings == 1 ~ "Batting 1st",
innings == 2 ~ "Batting 2nd"),
bowling_team_short = word(bowling_team, -1),
start_date_day = lubridate::day(start_date),
start_date_month = lubridate::month(start_date),
match_details = glue::glue(
"{innings_description} vs. {bowling_team_short} ({start_date_day}/{start_date_month})")) %>%
arrange(match_id, innings, balls_cumulative) %>%
mutate(
match_details = factor(
match_details, levels = unique(match_details)),
outcome_batting_team = factor(
outcome_batting_team, levels = c("won", "lost")
)) -> team_strike_rate
There’s plenty that can be done with the team_strike_rate
data which could warrant a dedicated exploration in itself. But I usually find that when I’m exploring a new analytical idea, it’s easier for me to get a feel for what the data does and or doesn’t highlight by going with a “small batch” approach.
With the Renegades at the top of the standings (as of 7 Nov), I focused on their team strike rates, a.k.a. “wiggly bois”:
obsessed with these wiggly bois
— Alyssa (@alyssastweeting) November 9, 2021
# Filter to Renegades' innings only --------------------------------------------
team_strike_rate %>%
filter(
str_detect(batting_team, "Renegades")
) -> team_strike_rate_renegades
# Build plot -------------------------------------------------------------------
showtext_auto()
p <- ggplot(
team_strike_rate_renegades,
aes(x = balls_cumulative, y = rolling_strike_rate))
p <- p + facet_wrap(~ match_details, ncol = 3)
p <- p + geom_hline(
yintercept = 100, linetype = "dashed", colour = "#CCCCCC")
p <- p + geom_line(aes(colour = outcome_batting_team), size = 1.5)
p <- p + geom_point(
aes(x = team_strike_rate_renegades$wicket_ball_num,
y = team_strike_rate_renegades$wicket_strike_rate),
colour = "red", size = 3, alpha = 0.75)
p <- p + labs(
title = "WBBL07: Melbourne Renegades - Team strike rate (games up to 7 Nov 2021)",
x = "Ball number in an innings", y = NULL,
caption = "**Source:** Cricsheet.org // **Plot:** @jacquietran")
p <- p + scale_x_continuous(
breaks = seq(0, 120, by = 30))
p <- p + scale_color_manual(
values = c("won" = "#4a8bad", "lost" = "#AD4A8B"),
labels = c("Renegades won", "Renegades lost"))
p <- p + coord_cartesian(ylim = c(0, 200))
p <- p + theme_minimal()
p <- p + theme(
text = element_text(
size = 36, family = "roboto_con",
colour = "#FFFFFF"),
legend.position = "top",
legend.title = element_blank(),
legend.key.size = unit(1.5, "cm"),
legend.margin = margin(0, 0, 0, 0),
legend.spacing.x = unit(0, "cm"),
legend.spacing.y = unit(0, "cm"),
plot.title = element_text(family = "staat", margin=margin(0,0,15,0)),
plot.caption = element_markdown(size = NULL, margin=margin(15,0,0,0)),
strip.text = element_text(colour = "#FFFFFF", size = 24),
axis.text = element_text(colour = "#FFFFFF"),
axis.title.x = element_text(margin=margin(15,0,0,0)),
panel.grid.major.y = element_blank(),
panel.grid.minor.y = element_blank(),
panel.grid.major.x = element_line(
colour = "#203b60", linetype = "dotted"),
panel.grid.minor.x = element_blank(),
plot.background = element_rect(
fill = paletteer_d("beyonce::X116")[3],
colour = NA),
panel.spacing = unit(2, "lines"),
plot.margin = unit(c(0.5,0.5,0.5,0.5), "cm"))
plot_team_strike_rate_renegades <- p
# Display plot
plot_team_strike_rate_renegades
The plots show the Renegades’ team strike rate across each innings they’ve batted, with wicket occurrences overlaid. From a visual assessment, it looks like wickets have not dampened the enthusiasm of Renegades’ batters for striking the ball - broadly speaking, it appears that, when the new batter comes in for the Renegades, they are often able to maintain the team’s strike rate. In some games, they’ve even managed to accelerate after losing a wicket.
Importantly, the Renegades have not lost many wickets in Powerplay overs this season, which puts them in a better position to push the scoring pace as an innings wears on with most of their wickets in hand.


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Monthly sessions to share knowledge about new and existing digital technologies, topics, and trends.
Chat to IT group
a.k.a. X
Senior Front End Developer
What is User Experience (UX) ?
Everything the user experiences
UX is not just a design, it is everything between the user and the product or service. This includes every tangible and intangible item.
user experience
noun
the overall experience of a person using a product such as a website or computer application, especially in terms of how easy or pleasing it is to use.
"if a website degrades the user experience too much, people will simply stay away"
30 minutes to complete, 120 questions
| 5 |
Only five questions related directly to Virgin Australia checking in and the airline.
The remaining questions related to how the person left home, place visiting, what the experience of the trip to the airport was like, obtaining a carpark or public transport, what the food at the airport was like, how friendly the staff were at the food court, accommodation etc
Why do you think Virgin Australia asked these questions in the survey?
Research has shown there is a generation gap with saving files:
In some instances, online software will show a saving message for a prolonged period of time so the user is comfortable that their file was saved.
This small fake animation made users more comfortable that their work had been saved.
Like the save icon, a fair significant of younger uses have never experienced or seen a real floppy disk.
Some Generation Z children were shown a floppy disk and assumed it was a 3D printed version of the save icon.
Many designers have tried to create a new save icon but have failed due to popularity of the current icon.
Millennials will generally expect things to flow and work without having to read labels, and help text.
Previous generations will take care to read the copy and ensure that they have all the instructions they need before they commence with the form.
Great tangible example of this behaviour is with electronic devices, Blu Ray Player, Playstation etc
The design of a product or service, whether it is funky or professional can have an impact on the user's experience.
A food outlet can have a funky website, and reflect the company's culture.
Whereas, a product / service like a bank needs to be professionally designed, clean and easy to use.
Lets discuss
Lets discuss
Who would use our websites under stress?
In some scenarios, having a different experience can be highly negative even when it's technically an improvement to the experience.
Examples:


Editor
Diff Editor
Language
Theme
Visual Studio
Visual Studio Dark
High Contrast Dark
Inline diff
RUN
(no output)


One contribution of 14 to a theme issue ‘ The marine system of the West Antarctic Peninsula: status and strategy for progress in a region of rapid change’.
Sea ice, including icebergs, has a complex relationship with the carbon held within animals (blue carbon) in the polar regions. Sea-ice losses around West Antarctica's continental shelf generate longer phytoplankton blooms but also make it a hotspot for coastal iceberg disturbance. This matters because in polar regions ice scour limits blue carbon storage ecosystem services, which work as a powerful negative feedback on climate change (less sea ice increases phytoplankton blooms, benthic growth, seabed carbon and sequestration). This resets benthic biota succession (maintaining regional biodiversity) and also fertilizes the ocean with nutrients, generating phytoplankton blooms, which cascade carbon capture into seabed storage and burial by benthos. Small icebergs scour coastal shallows, whereas giant icebergs ground deeper, offshore. Significant benthic communities establish where ice shelves have disintegrated (giant icebergs calving), and rapidly grow to accumulate blue carbon storage. When 5000 km 2 giant icebergs calve, we estimate that they generate approximately 10 6 tonnes of immobilized zoobenthic carbon per year (t C yr −1). However, their collisions with the seabed crush and recycle vast benthic communities, costing an estimated 4 × 10 4 t C yr −1. We calculate that giant iceberg formation (ice shelf disintegration) has a net potential of approximately 10 6 t C yr −1 sequestration benefits as well as more widely known negative impacts.
This article is part of the theme issue ‘The marine system of the West Antarctic Peninsula: status and strategy for progress in a region of rapid change’.


This time, let's think learn something about Ruby. When we want to run some single thing, we can code directly like age=25 in Ruby. However, if we want to run the whole class's students' ages. Or we want to code a person's all information like first name, last name, age. At this time, we need to use arrays and hashes. However, arrays and hashes are different, they have different use and be used in different place
Using arrays, we can express many same things in one time. For examples, there are five people in one group, I want to show their ages. So it can be
age1=10
age2=11
age3=12
age4=13
age5=14
But we can express them easier like
age=[10,11,12,13,14]
then at this time, age1=age[0]
There are many methods using in arrays. age.push(15) means add the element 15 at the end of array age. And there are many other methods that can help to solve some problems much more easily.
Hash also can express different things in one time, but it's different from arrays. For example, we also want ot show the five people's age.
Then using hash:
age = {
age1 => 10,
age2 => 11,
age3 => 12,
age4 => 13,
age5 => 14
}
We can also code hash like this age[age1]=[10]
As the beginner, we first need to know when to use arrays and hases and the basic use of them. Then the important part that sometimes they are similar but we need to know they are different.


/* This file is part of Ext JS 4 Copyright (c) 2011 Sencha Inc Contact: http://www.sencha.com/contact Commercial Usage Licensees holding valid commercial licenses may use this file in accordance with the Commercial Software License Agreement provided with the Software or, alternatively, in accordance with the terms contained in a written agreement between you and Sencha. If you are unsure which license is appropriate for your use, please contact the sales department at http://www.sencha.com/contact. */ Ext.define('Sample.Person', { uses: 'Sample.Gun', statics: { averageIQ: 100 }, config: { name: 'Unknown', gender: 'unknown', isCool: false, height: 5.8 }, constructor: function(config) { this.initConfig(config); return this; }, eat: function(foodType) { alert("I'm eating: " + foodType); return this; }, applyScroller: function(scroller) { return new Ext.util.Scroller(scroller); }, applyHeight: function(height) { return parseFloat(height); }, applyName: function(name) { return name || 'Unknown'; }, applyGender: function(gender) { if (!/^(male|female|gay|lesbian)$/.test(gender)) { return 'unknown'; } return gender; }, getAverageIQ: function() { return this.self.averageIQ; } });


|
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object Screen SpawnScreen
public class SpawnScreen
The most important feature of the Level Editor. This holds all of the spawnable Things in the game and has the ability to add them to the game.
| Field Summary |
|---|
| Fields inherited from class Screen |
|---|
controller |
| Constructor Summary | |
|---|---|
SpawnScreen(Hero hero)
|
| Method Summary | |
|---|---|
void |
draw(java.awt.Graphics g)
Draws this screen to g |
Thing |
getSpawn()
gets the Thing that should be spawned and returns it. |
java.awt.Color |
highlightColor(Thing t)
returns the color t should be highlighted (used for tools) |
boolean |
isVisible()
returns true if this can be seen on-screen |
void |
key(java.awt.event.KeyEvent e,
boolean down)
called when a key is pressed or released |
void |
mouse(java.awt.event.MouseEvent e,
boolean down)
called when a mouse button is pressed or released |
Thing |
peekSpawn()
returns the Thing that is selected in the SpawnScreen |
boolean |
shouldToggleFreeze()
returns true if this should toggle whether or not all the Things in the game should stop moving |
boolean |
shouldToggleLevel()
returns true if this should change the landscape |
void |
think()
called every frame |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public SpawnScreen(Hero hero)
| Method Detail |
|---|
public void draw(java.awt.Graphics g)
Screen
draw
in class Screen
g
- Graphics to be drawn topublic boolean isVisible()
public void key(java.awt.event.KeyEvent e, boolean down)
Screen
key
in class Screen
e
- event from keyPressed/keyReleaseddown
- true if pressed down, false if unpressedpublic boolean shouldToggleFreeze()
public boolean shouldToggleLevel()
public java.awt.Color highlightColor(Thing t)
t
- the thing that is checked against
public Thing getSpawn()
public Thing peekSpawn()
public void mouse(java.awt.event.MouseEvent e, boolean down)
Screen
mouse
in class Screen
e
- event from mousePressed/mouseReleaseddown
- true if pressed down, false if unpressedpublic void think()
Screen
think
in class Screen
|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


Designed and built by skaters for skaters! SkateMaps is an easy to use skatepark finder that gives access to quick directions from your current location.
From the home screen simply click the LIST PARKS button to open the list of skateparks.
The list of parks are ordered by distance from your current location (closest to furthest)
Click on a park image to view a selection of larger images.
GET DIRECTIONS to the park by clicking the red drop pin marker to launch google maps.
Alternativly from the home screen click MAP VIEW to view nearby skateparks on a map.
Click on a drop pin to see park name and address.
Get full details and directions by clicking the info button.
Supports filtering parks by name, suburb, city, state (QLD,NSW,VIC etc..) and rating (3 stars, 5 stars etc..).
If you find any bugs or would like to donate because you love this app, email me at<EMAIL_ADDRESS>Developer: Purush Wilson


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for Mobile Application Development
Use the navigation buttons or the arrow keys to proceed to the remaining slides.
You can also press > >F < < on your keyboard to show your presentation in fullscreen mode.
This presentation is best explored with up-to-date web browsers.
Part-Time Instructor, WVSU - Main
Freelance App and Games Developer, 3D ArtistLearn how to use Git and GitHub
git help // show all available commands
git config --global user.name "Your GitHub user name" // set your user name
git config --global user.email<EMAIL_ADDRESS>// your email
git config --list // check if git details were set
git config --global core.editor vscode // set vscode as the editor
git clone {url [dir]} // copy a git repository so you can add to it
git add {files} // adds file contents to the staging area
git commit // records a snapshot of the staging area
git status // view the status of your files in the working directory and staging area
git diff // shows diff of what is staged and what is modified but unstaged
git pull // fetch from a remote repo and try to merge into the current branch
git push // push your new branches and data to a remote repository
others: init, reset, branch, checkout, merge, log, tag
git branch newfeature // creates a branch named newfeature
git branch // lists all branch
git checkout newfeature // switch to newfeature branch
git log --graph // show branches


Ph.D. in Industrial Engineering
University of Washington Seattle, WAThesis: Diagnostic Monitoring of High-dimensional Networked Systems (with Applications in Manufacturing and Healthcare System).
Thesis: Diagnostic Monitoring of High-dimensional Networked Systems (with Applications in Manufacturing and Healthcare System).


Book Reviews
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Lorem Ipsum is simply dummy text of the printing and
typesetting industry. Lorem Ipsum has been the
ard dummy text ever since the 1500s.
Website development
Dummy text of the printing and
typesetting industry.
Website development
Dummy text of the printing and
typesetting industry.
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@(gaCode:Option[String])
@main("GraphQL Toolbox", gaCode) {
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THE LAST SEDUCTION A film review by Edward W. Felton Copyright 1994 Edward W. Felton
My father, bless him, has taught me two valuable lessons in life; learn to tie your own bow ties, and steer well clear of made-for-TV movies. Honest advice, I thought; most TV movies seemed to feature Jaclyn Smith or some other fading star, and almost always seemed to have Mommy in the title. However, a few years ago, a strange thing happened; both HBO in the United States and Channel 4 in England started coming out with carefully crafted, creatively budgeted movies of extremely high quality. Prominent among these was HBO's RED ROCK WEST, an odd little film noir that caused quite a stir when first released. I saw in the cinema about two years ago, as it got a theatrical release in Europe. A quirky tale with an excellent cast, with Nicholas Cage as the nice guy, Dennis Hopper as the crazy bad guy (a real stretch, presumably) and Lara Flynn Boyle as the pasty-faced love interest. With lots of guns, dusty country roads and fun cameos, RED ROCK WEST was a lot of fun. THE LAST SEDUCTION is a similar HBO effort, but simply doesn't match it for quality.
 She stays nicely incognito, ludicrously strutting into the redneck bar in with high heels and power shoulder pads. Still, we learn a great deal about her character. She can write backwards. Insightful stuff. Tumbling into the sack with the local Brad Pitt, without the acting talent, we get what we really came for ... cue moodily lit limbs and arched backs-a-plenty. Irked hubby sends heavies after her, only to be foiled by the witty, sassy and invincible Wendy Kroy. An hour of transparent plot devices and tacked-on characterizations later, and nothing much has changed.
Critics have raved over Fiorentino, describing her as both sex and talent incarnate. I wouldn't go that far; although certainly not unattractive, and more than willing to get her kit off in the name of cinema verite, she's just not that special. Hers is a big, and therefore admirable role for a woman, though curiously one-dimensional. She's tough, she's cool, she's sexy. But then so is Paul Newman, only he doesn't have to break out the skimpy underwear to achieve it. As far as I know. Anyway, the lack of an adequate male lead to balance the movie although this isn't so important in reverse lessens the range of the film considerably. Small, boring country towns are by definition, small and boring, one wildcat in high heels doesn't exactly set the screen on fire. The scenes between her and the himbo lover are laughable; What are you running from, Wendy? There's some original innovative dialogue for you. The New York scenes, merely familiar, include that damn location under the Brooklyn Bridge, used for the bazillionth time. Add to that a moronic plot twist (remember De Niro as Louis Cypher in ANGEL HEART? Yup....) and a plethora of dull characters, and we re checking wristwatches an hour into the film. An irritatingly repetitive jazz score, vaguely reminiscent of The Firm, is constant and grinding. Great legs emerging from car door, the sort of thing normally smothered in a sax solo, receive the same bouncy eight bars as the chase through a building, and hero in contemplative mood. Fiorentino, however, has definite potential for the future, but she's not enough to carry this movie on her own. The conclusion, after a tortuously convoluted final reel, the inevitable triumph of the female will, is nicely tied up, and the movie becomes At Last Seductive: too little, too late. A disappointing two out of ten.
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Caitlyn Jenner says she hasn't spoken to Khloe Kardashian in 'five or six years'
by The SunCaitlyn Jenner revealed that she hasn't spoken to stepdaughter Khloe Kardashian in the five years since she transitioned as she opened up on tonight's "I'm A Celeb."
The 70-year-old star spoke candidly to her campmates about coming out as transgender in 2014 in Friday night's episode of the ITV show.
And while the majority of her famous family were supportive, Caitlyn revealed that Khloe was "p**ed off" throughout her transition - but she isn't sure what her "issues" are.
KHLOE KARDASHIAN SAYS SHE'S 'IN TALKS' TO DEVELOP SHOW FOCUSING ON HERSELF AND DAUGHTER, TRUE
When asked who she told first about her transition, Caitlyn shared: "The first was the kids, I started with Brandon my son and he said to me: 'Dad, I’ve always been so proud to be your son but I’ve never been more proud of you than right now.'
"I went through every kid and Khloe for some reason was p***ed off about something through this whole process, it’s been five or six years and I really haven’t talked to her since."
Appearing saddened by the soured relationship, the TV favorite added: "We were really close, I raised her since she was 5 years old, I really don’t know what her issues are."
Caitlyn married Khloe's mom Kris Jenner in 1991, acting as stepparent to her, Kim, Kourtney, and Rob Kardashian for over 20 years.
BRODY JENNER THROWS SHADE ON CAITLYN: I DON'T EXPECT MUCH FROM HER
Caitlyn and Kris split in 2014, one year before she publicly came out as transgender, and Khloe has always been open about their difficult relationship since.
The 35-year-old star was unhappy with the way that Caitlyn treated Kris after their split, particularly furious with Caitlyn's 2017 memoir "The Secrets Of My Life," which alleged that Kris knew that her husband was transgender when they were still together.
She accused Caitlyn of "publicly shaming" the family and taking aim at her mom as the former Olympic champ lashed out at her ex-wife in the book.
Despite the rocky relationship with Khloe, Caitlyn also told her fellow campmates that she was "sad" to be missing Thanksgiving with her family today.
CAITLYN JENNER JOINS BRITISH REALITY SHOW 'I'M A CELEBRITY...
"Normally on this day I run from one to the other back and forth and it’s probably the first time I haven’t been there.
"It’s sad not to be there."
Last night, Caitlyn's 24-year-old daughter Kendall finally broke her silence on her dad's jungle stint following fan backlash.
CLICK HERE TO GET THE FOX NEWS APP
The model shared a sweet message of support to her Instagram Story, telling fans that she was "always" rooting for Caitlyn.
Viewers were previously left fuming when Caitlyn was seemingly snubbed by her family when she received a care package from her dogs.
This story originally appeared in The Sun.


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