Custom triggers
Paver exposes several public functions that developers can manipulate with in order to trigger desired behavior without interacting with the plugin. In order to maintain direct chainability with other jQuery methods, I have chosen not to implement public methods that can be called by chaining, i.e. $(selector).paver().destroy()
. However, I have provisioned three distinct ways where you can access public functions in Paver. args
represent accepted arguments for the respective public function(s):
- By accessing the
plugin_data
object of the Paver instances:$(selector).data('plugin_paver').customTrigger([args]);
- By passing the name of custom trigger as a string into the
.paver()
method:$(selector).paver('customTrigger'[, args]);
- By triggering a namespaced custom event at the Paver instance:
$(selector).trigger('customTrigger.paver');
Note that all custom triggers will only be triggered after the Paver is successfully intialized and ready to use, i.e. when the ready.paver
event is fired. To avoid user confusion/frustration when accessing public functions in the event that Paver is not yet ready, I strongly recommend also binding events after ready.paver
has been fired, i.e.:
// Initialize paver
$(paverSelector).paver();
// Allow user to destroy instance only after when ready
$(paverSelector).on('ready.paver', funtion() {
$('button').prop('disable', false);
});
$('button').on('click', function() {
$(paverSelector).paver('destroy');
// or: $(this).data('plugin_paver').destroy();
// or: $(this).trigger('destroy.paver');
});
| Function name | Arguments | Description |
| destroy | None | Destroys the Paver instance, and reinserts the original DOM node in its place. Will emit the |
|---|---|---|
| pan | Object
|
Pans the panorama in the Paver instance. Only a single argument is accepted, and it has to be in the form of an object. When no arguments are passed, triggering |
| recompute | None | Triggers recomputing and binding of events to Paver instances that satisfy the selector. Will emit the |
Custom events
There are two kinds of custom events emitted: global custom events, or scoped custom events (triggered by each Paver instance). All events are namespaced, i.e. eventName.paver
. The purpose behind creating custom events is to enable developers to (1) check if Paver has been enabled, (2) verify that gyroscopic data is available, (3) keep track of the progress of Paver initialization or the internal calculation events triggered.
Global
Global events are triggered on the document
object, i.e:
$(document).on('enabled.paver', function() {
// Paver is enabled!
});
| Event Name | Conditional | Description |
| hasGyroscopeData | Yes. See also: hasNoGyroscopeData |
This event and The following gyroscopic data is passed to the event handler as an object, when the JavaScript deferred object is resolved:
The gyroscopic data object can be accessed using:
|
|---|---|---|
| hasNoGyroScopeData | Yes. See also: hasGyroscopeData |
This event and
|
| enabled | Yes. See also: disabled |
This event and
|
| disabled | Yes. See also: enabled |
This event and
|
Scoped (Individual)
Scoped (individual) events are triggered on the selector for each Paver instance, i.e:
$('div.paver').on('init.paver', function() {
// Paver is initialized
});
Note that many scoped events are mutually-exclusive, such that only one in a pair will be triggered. They are labelled as "conditional" in the table below:
| Event Name | Conditional | Description |
| imageLoadDone | Yes. See also imageLoadFail |
This event and |
|---|---|---|
| imageLoadFail | Yes. See also imageLoadDone |
This event and |
| init | No | Fired when Paver is initialized, i.e. when DOM replacements are performed. This happens after:
|
| ready | No | Fired when original panorama image is hidden and DOM replacements have been performed. At this point the plugin will proceed to compute dimensions and conditionally bind/unbind events. |
| computeEnd | No | Fired when panorama dimensions have been computed, and the dimensions of the dummy panorama wrapper have been set. |
| eventsBound | Yes. See also: eventsUnbound |
This event and |
| eventsUnbound | Yes. See also: eventsBound |
This event and |
| initialPanStart | Yes. See also: panStart |
This event and |
| panStart | Yes. See also: initialPanStart |
This event and
|
| initialPanEnd | Yes. See also: panEnd |
This event and |
| panEnd | Yes. See also: initialPanEnd |
This event and |
| recomputeStart | No | Fired when a window resize event is detected, or a |
| destroyed | No | Fired when the Paver instance has been destroyed—this occurs after the reinsertion of the original DOM node, removal of all event handlers, resetting of Paver-related classes and resetting of the initialization status of the Paver instance of element(s) of interest. |


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main(String[])
- Static method in class examples.
AudioPlayerExample
The main entry point for this class.
main(String[])
- Static method in class examples.
MoviePlayerExample
The main entry point for this class.
main(String[])
- Static method in class examples.
ScreenExample
Main
- Class in
frontend
Primary launcher and entry point into this product line management application.
Main()
- Constructor for class frontend.
Main
main(String[])
- Static method in class frontend.
Main
manufacturedOn
- Variable in class model.production.
Production
manufacturer
- Variable in class model.
Product
misc
- package misc
model
- package model
model.audio
- package model.audio
model.employee
- package model.employee
model.production
- package model.production
model.video
- package model.video
MonitorType
- Enum in
model.video
MoviePlayer
- Class in
model.video
MoviePlayer(String, String, Screen, MonitorType)
- Constructor for class model.video.
MoviePlayer
Creates a movie player.
MoviePlayerExample
- Class in
examples
A driver class for testing MoviePlayers providing an example of inheritance.
MoviePlayerExample()
- Constructor for class examples.
MoviePlayerExample
MultimediaControl
- Interface in
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| Data characteristics | Multivariate time series | Type of building(s) | Residential, Three story | Date | 2013 |
| Type of attributes | Real, Integer | Number of buildings | 1 | Duration | 73 days |
| Level of detail | whole house, appliance/circuit level | Location of buildings | Delhi, India | Sampling frequency | 1 Hz |
Each individual channel of the data can be downloaded separately in either SQL or CSV format from: http://iawe.github.io/
iAWE data set contains whole and sub-metered electricity, gas, and water consumption data from a single house in Delhi, India. The data have been captured during 73 days of the year, with one day fully labelled data. 33 sensors have been deployed through the house to collect relevant data.
From the repository an overview of the deployment of project is available. In which location of meters, metered devices and sensors are shown. Due to the frequent electricity outages in Delhi, as stated by project providers, a histogram of outage statistics is provided. Furthermore record of voltage fluctuation is presented. The data are obtainable either selectively respecting to meters and sensors or in whole. A presentation and paper on the project details including motivation behind it, building and measurement characteristics and unique features of the India grid is also available from the link.
timestamp
Voltage(v)
Current (A)
Power (Active and apparent)
Frequency(Hz)
Phase
Room temperature (celsius)
Total water flow of building
Power outages per day (hour)
N. Batra, M. Gulati, A. Singh, and M. B. Srivastava, "It's Different: Insights into home energy consumption in India," in Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings, Roma, Italy, 2013, pp. 1-8.


Helabasa
Sinhala Morphological Tools Collection
English to Sinhala Translator
Under Construction!
© 2013 Rajith Priyanga (
<EMAIL_ADDRESS>)


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Bus falls into river in Nepal leaving more than a dozen dead
At least 17 dead, 50 injured when a bus packed with people returning from Tihar festival encountered mechanical problem.
An overcrowded bus drove off a mountain highway and crashed in a river in Nepal, killing 17 people and injuring 50 more, a police official said Monday.
The bus was packed with people returning from festivities and appeared to have a mechanical problem before skidding off the highway on Sunday, Police official Madhav Kafle said.
Among the injured, 21 were still hospitalised on Monday for medical treatment.
Kafle said passengers heard a loud sound and the steering appeared to have failed before the bus drove off the highway and crashed in the Sunkoshi River 20m (70 feet) below.
The crash site is about 120km (75 miles) east of the capital, Kathmandu.
The bus was crowded because the Tihar festival ended last week and many people were returning back to work from their villages.
Bus accidents in Nepal, covered mostly by mountains, are blamed on poorly maintained vehicles and roads.


Machine learning (ML) is a field of artificial intelligence that uses statistical techniques to give computer systems the ability to "learn" (e.g., progressively improve performance on a specific task) from data, without being explicitly programmed.
The name machine learning was coined in 1959 by Arthur Samuel.Machine learning explores the study and construction of algorithms that can learn from and make predictions on data -such algorithms overcome following strictly static program instructions by making data-driven predictions or decisions,through building a model from sample inputs.
Machine learning is employed in a range of computing tasks where designing and programming explicit algorithms with good performance is difficult or infeasible; example applications include email filtering, detection of network intruders, and computer vision.
Machine learning is closely related to computational statistics,which also focuses on prediction-making through the use of computers.It has strong ties to mathematical optimization,which delivers methods,theory and application domains to the field.Machine learning is sometimes conflated with data mining,where the latter subfield focuses more on exploratory data analysis and is known as unsupervised learning.


00 Home
01 Destination
02 Crew
03 Technology
02 Meet your crew
Commander
Douglas Hurley
Douglas Gerald Hurley is an American engineer, former Marine Corps pilot
and former NASA astronaut. He launched into space for the third time as
commander of Crew Dragon Demo-2.


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AllTests
- Class in
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AllTests()
- Constructor for class entity.
AllTests
AllTests
- Class in
model
AllTests()
- Constructor for class model.
AllTests
C
cH
- Variable in class model.
collisionHandlerTest
collisionHandlerTest
- Class in
model
collisionHandlerTest()
- Constructor for class model.
collisionHandlerTest
controller
- package controller
controllerTest
- Class in
controller
controllerTest()
- Constructor for class controller.
controllerTest
D
DAOLevelTest
- Class in
model
DAOLevelTest()
- Constructor for class model.
DAOLevelTest
E
entity
- package entity
L
levelTest
- Class in
entity
levelTest()
- Constructor for class entity.
levelTest
levelToTest
- Static variable in class entity.
levelTest
M
model
- package model
modelForTestPurposes
- Variable in class model.
collisionHandlerTest
ModelTest
- Class in
model
ModelTest()
- Constructor for class model.
ModelTest
modelTest
- Variable in class model.
ModelTest
S
setUp()
- Method in class controller.
controllerTest
setUp()
- Method in class entity.
levelTest
setUp()
- Method in class entity.
spriteEntityTest
setUp()
- Method in class model.
collisionHandlerTest
setUp()
- Method in class model.
DAOLevelTest
setUp()
- Method in class model.
ModelTest
setUpBeforeClass()
- Static method in class controller.
controllerTest
setUpBeforeClass()
- Static method in class entity.
levelTest
setUpBeforeClass()
- Static method in class entity.
spriteEntityTest
setUpBeforeClass()
- Static method in class model.
collisionHandlerTest
setUpBeforeClass()
- Static method in class model.
DAOLevelTest
setUpBeforeClass()
- Static method in class model.
ModelTest
sprEnt
- Variable in class entity.
spriteEntityTest
spriteEntityTest
- Class in
entity
spriteEntityTest()
- Constructor for class entity.
spriteEntityTest
T
tearDown()
- Method in class controller.
controllerTest
tearDown()
- Method in class entity.
levelTest
tearDown()
- Method in class entity.
spriteEntityTest
tearDown()
- Method in class model.
collisionHandlerTest
tearDown()
- Method in class model.
DAOLevelTest
tearDown()
- Method in class model.
ModelTest
tearDownAfterClass()
- Static method in class controller.
controllerTest
tearDownAfterClass()
- Static method in class entity.
levelTest
tearDownAfterClass()
- Static method in class entity.
spriteEntityTest
tearDownAfterClass()
- Static method in class model.
collisionHandlerTest
tearDownAfterClass()
- Static method in class model.
DAOLevelTest
tearDownAfterClass()
- Static method in class model.
ModelTest
testAboveSetLevelID()
- Method in class entity.
levelTest
testCheckCollisionForPlayerPositionMovementAndPush()
- Method in class model.
collisionHandlerTest
testDeath()
- Method in class model.
ModelTest
testFindInt()
- Method in class model.
DAOLevelTest
testGetBorderBottomLeft()
- Method in class entity.
spriteEntityTest
testGetBorderBottomRight()
- Method in class entity.
spriteEntityTest
testGetBorderLeft()
- Method in class entity.
spriteEntityTest
testGetBorderRight()
- Method in class entity.
spriteEntityTest
testGetBorderTopAndBottom()
- Method in class entity.
spriteEntityTest
testGetBorderTopLeft()
- Method in class entity.
spriteEntityTest
testGetBorderTopRight()
- Method in class entity.
spriteEntityTest
testGetDiamond()
- Method in class entity.
spriteEntityTest
testGetEarth()
- Method in class entity.
spriteEntityTest
testGetEnnemy()
- Method in class entity.
spriteEntityTest
testGetExit()
- Method in class entity.
spriteEntityTest
testGetHeroDown()
- Method in class entity.
spriteEntityTest
testGetHeroLeft()
- Method in class entity.
spriteEntityTest
testGetHeroRight()
- Method in class entity.
spriteEntityTest
testGetHeroUp()
- Method in class entity.
spriteEntityTest
testGetMyPicture()
- Method in class entity.
spriteEntityTest
testGetRock()
- Method in class entity.
spriteEntityTest
testGetWall()
- Method in class entity.
spriteEntityTest
testGetWay()
- Method in class entity.
spriteEntityTest
testLevelHigherLevelId()
- Method in class entity.
levelTest
testLevelHighScoreTooLow()
- Method in class entity.
levelTest
testLevelLowerLevelId()
- Method in class entity.
levelTest
testLevelMinDiamondTooLow()
- Method in class entity.
levelTest
testLevelTimerTooLow()
- Method in class entity.
levelTest
testLoadLevel()
- Method in class model.
ModelTest
testLoadNextLevelAtExit()
- Method in class model.
ModelTest
testMakeEverythingFallDownAndEnnemyMove()
- Method in class model.
collisionHandlerTest
testMovePlayer()
- Method in class model.
ModelTest
testPushRock()
- Method in class model.
ModelTest
testSetCorrepondingEntity()
- Method in class entity.
spriteEntityTest
testSetLastBehavior()
- Method in class entity.
spriteEntityTest
testUnderSetLevelID()
- Method in class entity.
levelTest
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Copyright © 2019. All rights reserved.


|
Static code analysis |
Example-based testing Given inputs should produce given results |
|
Proved code Demonstrate a code by checking that its invariants hold throughout its execution |
Crash under random Monitor a software for exceptions on random inputs - Monkey testing - or random data - Fuzzing |
Test properties instead of isolated cases
for all (x, y, ...)
such that precondition(x, y, ...) holds
property(x, y, ...) is true
for all run it 100 times
(x, y, ...) generate random inputs based on specified generators
such that
precondition(x, y, ...) holds
check pre-conditions
fails?: go back to previous
property(x, y, ...) is true
run the test
fails?: try shrinking
Let's suppose that we want to test is_substring
for all a, b, c strings
b is a substring of a + b + c
Let's suppose that our implementation fails when the string ends by the pattern (arbitrary choice)
Framework might have built:
(a, b, c) = ("aaa", "bbb", "ccc")
is_substring("bbb", "aaabbbccc")? TEST OK
(a, b, c) = ( "", "dd", "e")
is_substring("dd", "dde")? TEST OK
(a, b, c) = ( "yy", "w", "")
is_substring("w", "yyw")? TEST FAILURE
-- SHRINK INPUT --
(a, b, c) = ( "", "", "")
is_substring("", "")? TEST FAILURE
A helper not an end in itself
But what if it was:
Converts a value to JSON notation representing it.
Such specification is the one described by Mozilla Foundation web docs for `JSON.stringify` of JavaScript. The exhaustive specification is available on ECMA-262.
namespace json {
class JsonObject;
class JsonArray : public JsonObject;
class JsonDictionary : public JsonObject;
std::string stringify(JsonObject const&);
std::unique_ptr<JsonObject> parse(std::string const&);
}//json
TEST(Stringify, ObjectWithTwoAttributesAandB) {
auto instanceWithAandB = json::JsonDictionary {}
.with("a", json::JsonInteger {4})
.with("b", json::JsonInteger {7});
ASSERT_EQ(
std::string{"{\"a\":4,\"b\":7}"},
json::stringify(instanceWithAandB));
}
Key ordering
Change storage strategy? |
DeterministicRun on other platform? Static data? |
Indent
Divide into multiple threads? |
Notation
Full unicode? |
namespace json {
std::string stringify(JsonObject const&);
std::unique_ptr<JsonObject> parse(std::string const&);
}//json
RC_GTEST_PROP(Stringify,
StringifyThenParseIsIdentity,
(json::JsonObject const& elt))
{
RC_ASSERT(*json::parse(json::stringify(elt)) == elt);
}
Taking the object resulting from the conversion of the JsonObject to a string then back to a JsonObject should be equivalent to take the original instance itself.
Two sets of tests:
(0,0)
Hint:
$: dimensions = (8, 8)
$: position = (4, 4)
$: hint = "DR"
Hint:
$: dimensions = (8, 8)
$: position = (4, 4)
$: hint = "DR"
Hint:
$: dimensions = (8, 8)
$: position = (6, 6)
$: hint = "D"
Hint:
$: dimensions = (8, 8)
$: position = (6, 6)
$: hint = "D"
Hint:
$: dimensions = (8, 8)
$: position = (6, 7)
$: hint = ""
void find_bomb(Game& game);
class Game
{
public:
// dimensions of the grid
std::size_t dimension_x() const;
std::size_t dimension_y() const;
// last known location
std::size_t previous_x() const;
std::size_t previous_y() const;
// direction to the target (U / D, L / R)
std::string const& hint() const;
// is it the position of the target?
bool solved() const;
// update position
void move(std::size_t x, std::size_t y);
};
Hint: DR
Hint: DR
Hint: U
Hint: U
...
void find_bomb(Game& game)
{
std::size_t x_min = 0;
std::size_t x_max = game.dimension_x();
std::size_t y_min = 0;
std::size_t y_max = game.dimension_y();
while (x_min < x_max && y_min < y_max)
{
// content on next slide
}
}
std::size_t x0 = game.previous_x();
auto const& hint = game.hint();
if (hint.back() == 'L')
{
x_max = x0 -1;
x0 = (x_max + x_min) /2;
}
else if (hint.back() == 'R')
{
x_min = x0 +1;
x0 = (x_max + x_min) /2;
}
// same for y...
game.move(x0, y0);
Solve the game in a limited amount of guesses
At first, we can assume that we will be able to solve it in a maximum of width x height
We can solve it in max(width, height) without too many complexity
We can solve it in ceil(log2(max(width, height)))
(width, height): integers between 1 and 10 000*
(start_x, target_x): integers between 0 and width*
(start_y, target_y): integers between 0 and height*
(num_rounds): max(width, height)
*not included
Reach the target with a maximum of num_rounds rounds
RC_GTEST_PROP(ShadowsOfTheKnight, SAlwaysReachTarget, ())
{
auto w = *inRange(1, 10000).as("grid width");
auto h = *inRange(1, 10000).as("grid height");
auto inRangeGen = apply(
[](auto x, auto y) { return std::make_pair(x, y); }
, inRange(0, w), inRange(0, h));
auto current = *inRangeGen.as("start position");
auto solution = *inRangeGen.as("target position");
TestGame game = TestGameBuilder{}
.withDimension(w, h)
.withSolution(solution.first, solution.second)
.withCurrent(current.first, current.second).build();
find_bomb(game);
RC_ASSERT(game.solved());
}
Falsifiable after 9 tests and 5 shrinks
grid width:
8
grid height:
8
start position:
(0, 1)
target position:
(1, 0)
Hint: Next move:
$: dimensions = (8, 8) $: xmin, xmax = (1, 8)
$: xmin, xmax = (0, 8) $: ymin, ymax = (0, 0)
$: ymin, ymax = (0, 8) $: position = (4, 0)
$: position = (0, 1)
$: hint = "UR"
Hint: Next move:
$: dimensions = (8, 8) $: Cannot suggest anything,
$: xmin, xmax = (1, 8) $: it seems that
$: ymin, ymax = (0, 0) $: there is no solution
$: position = (4, 0)
$: hint = "L"
Hint: Next move:
$: dimensions = (8, 8) $: xmin, xmax = (1, 3)
$: xmin, xmax = (1, 8) $: ymin, ymax = (0, 1)
$: ymin, ymax = (0, 1) $: position = (2, 0)
$: position = (4, 0)
$: hint = "L"
Hint: Next move:
$: dimensions = (8, 8) $: xmin, xmax = (1, 2)
$: xmin, xmax = (1, 3) $: ymin, ymax = (0, 1)
$: ymin, ymax = (0, 1) $: position = (1, 0)
$: position = (2, 0)
$: hint = "L"
Hint:
$: dimensions = (8, 8)
$: xmin, xmax = (1, 2)
$: ymin, ymax = (0, 1)
$: position = (1, 0)
$: hint = ""
Let's test a web interface
We are already able to:
Characteristics of a UI under test:
We need to define commands:
We have to produce arrays of commands
commands = array of commands in {CommandA, CommandB, ...}
Then give them to the framework
List of commands we would like to test:
Open color picker:
var OpenPaletteForCommand = function(colorId) {
// can we run the command?
this.check = model => is_picker_accessible(model, colorId);
// run it
this.run = function(browser, model) {
model.picker_for = colorId;
model.color_before = await read_color(browser, colorId);
await open_picker(browser, model, colorId);
model.color_selected = await read_color_picker(browser);
return true;
};
};
Cancel modification:
var CancelCommand = function() {
// can we run the command?
this.check = model => is_picker_opened(model);
// run it
this.run = function(browser, model) {
await cancel_picker(browser);
const color_after_cancel = await read_color(browser, model.picker_for);
return model.color_before == color_after_cancel;
};
};
- Expected Error: Failed after 1 tests and 10 shrinks.
rngState: 00a5eb241093fc6d78;
Counterexample: ;
GoToPanelCommand(color),
OpenPaletteForCommand(palette_NEUTRAL_DARK),
AlphaSpectrumCommand(alpha:2%),
CancelPaletteCommand();
to be undefined.
This example is inspired by a real case. The issue with cancel only occured when we were starting our modification by impacting alpha. It did not failed when we touched spectrum or hue followed by alpha and canceled just after.
Talk materials & sources - dubzzz


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Employee Details
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Developed By: Pankaj verma


| # | Sta | Rlx | Name | Row Text |
| 0 | | 0 | autoRow0 | cold pack reaction is a kind of "endothermic reaction" (c061-99eb-af59-1a01) |
| 1 | | 0 | autoRow1 | "first aid instant cold pack" is a kind of "cold pack" (c9d1-519c-221c-512c) |
| 2 | ST | 0 | autoRow2 | an endothermic process usually requires more heat energy from its surroundings than it gives off heat (0d27-53e1-1637-e724) |
| 3 | ST | 0 | autoRow3 | an endothermic reaction absorbs heat energy from its surroundings (038b-65f8-5e83-61b6) |
| 4 | ST | 0 | autoRow4 | most chemical reactions release or absorb heat energy (3c81-75ca-5724-f2eb) |
| 5 | ST | 0 | autoRow5 | a chemical reaction is a kind of process (c493-daa2-d48d-4fa4) |
| 6 | ST | 0 | autoRow6 | chemical reactions cause chemical change (0f0d-2cc5-fcc1-3c1f) |
| 7 | ST | 0 | autoRow7 | heat is a kind of energy (9e7d-986e-6af1-5ac1) |
| 8 | ST | 0 | autoRow8 | an endothermic reaction converts heat energy into chemical energy (e114-ec47-36df-0886) |
| 9 | ST | 0 | autoRow9 | if something absorbs ; requires more heat than it gives off in an reaction , then something will be cold in temperature (49fa-491a-4de3-a36a) |
| # | Sta | Rlx | Name | Row Text |
| 0 | | 0 | autoRow0 | the reaction between baking soda and vinegar is a kind of "endothermic reaction" (fb8f-3fcb-ff3c-770c) |
| 1 | | 0 | autoRow1 | "first aid instant cold pack" is a kind of "cold pack" (c9d1-519c-221c-512c) |
| 2 | ST | 0 | autoRow2 | an endothermic process usually requires more heat energy from its surroundings than it gives off heat (0d27-53e1-1637-e724) |
| 3 | ST | 0 | autoRow3 | an endothermic reaction absorbs heat energy from its surroundings (038b-65f8-5e83-61b6) |
| 4 | ST | 0 | autoRow4 | most chemical reactions release or absorb heat energy (3c81-75ca-5724-f2eb) |
| 5 | ST | 0 | autoRow5 | a chemical reaction is a kind of process (c493-daa2-d48d-4fa4) |
| 6 | ST | 0 | autoRow6 | chemical reactions cause chemical change (0f0d-2cc5-fcc1-3c1f) |
| 7 | ST | 0 | autoRow7 | heat is a kind of energy (9e7d-986e-6af1-5ac1) |
| 8 | ST | 0 | autoRow8 | an endothermic reaction converts heat energy into chemical energy (e114-ec47-36df-0886) |
| 9 | ST | 0 | autoRow9 | if something absorbs ; requires more heat than it gives off in an reaction , then something will be cold in temperature (49fa-491a-4de3-a36a) |
| # | Sta | Rlx | Name | Row Text |
| 0 | | 0 | autoRow0 | melting is a kind of "endothermic reaction" (62a2-5907-df58-f6a0) |
| 1 | | 0 | autoRow1 | "first aid instant cold pack" is a kind of "cold pack" (c9d1-519c-221c-512c) |
| 2 | ST | 0 | autoRow2 | an endothermic process usually requires more heat energy from its surroundings than it gives off heat (0d27-53e1-1637-e724) |
| 3 | ST | 0 | autoRow3 | an endothermic reaction absorbs heat energy from its surroundings (038b-65f8-5e83-61b6) |
| 4 | ST | 0 | autoRow4 | most chemical reactions release or absorb heat energy (3c81-75ca-5724-f2eb) |
| 5 | ST | 0 | autoRow5 | a chemical reaction is a kind of process (c493-daa2-d48d-4fa4) |
| 6 | ST | 0 | autoRow6 | chemical reactions cause chemical change (0f0d-2cc5-fcc1-3c1f) |
| 7 | ST | 0 | autoRow7 | heat is a kind of energy (9e7d-986e-6af1-5ac1) |
| 8 | ST | 0 | autoRow8 | an endothermic reaction converts heat energy into chemical energy (e114-ec47-36df-0886) |
| 9 | ST | 0 | autoRow9 | if something absorbs ; requires more heat than it gives off in an reaction , then something will be cold in temperature (49fa-491a-4de3-a36a) |


Table of Contents
License Wizard Options
Using the Licensing Web Site
Entering a License
Connecting to an Existing License Server
Troubleshooting
|
|
Installing and Starting the License Server
Your license requires that a license server be installed and running before your product will be properly licensed. Options on this screen allow you to install and start a license server on your local computer.
Note
If, after completing the licensing process, your product does not run in licensed mode, consult the Installation and Licensing Guide in your product's online help system for additional licensing information. |
To Install and Start a Local License Server
If you are installing your ITT Visual Information Solutions product for the first time, you must install and start a license server. Do the following:
Windows
-
Check the Install license manager service check box.
-
Check the Launch lmtools utility check box.
-
Click Finish.
-
Wait for the license server installation to complete.
-
Select Start → Program Files → ITT Product → LM Tools to launch the LM Tools utility.
-
Select the Stop/Read/Reread tab.
-
Click Start Server.
-
Select File → Exit to close the LM Tools utility.
UNIX/Macintosh
-
Check the Install license manager check box.
-
Check the Start license manager check box.
-
Wait for the license server installation to complete.
-
Click Finish.
On UNIX and Macintosh systems, output from the license manager is written to a file named lmgrd_log.txt in the license directory of the product installation directory.
To Restart an Existing Local License Server
If you are updating an existing license on an existing local license server, you must shut down and restart the license server before your updated license will be recognized. To restart the license server, do the following:
Windows
-
Check the Launch lmtools utility check box.
-
Click Finish.
-
In the lmtools utility, select the Stop/Read/Reread tab.
-
Click Stop Server.
-
Click Start Server.
-
Select File → Exit to close the LM Tools utility.
Unix/Macintosh
-
Check the Start license manager check box.
-
Open a shell window.
-
Change directories to the directory in which you installed your ITT product. If you chose the default installation location, the directory is
/usr/local/itt
on UNIX systems and
/Applications/ITT
on Macintosh systems.
-
Enter the following commands at the shell prompt:
./idl70/bin/lmdown
./idl70/bin/lmgrd
-
Click Finish.
ITT Visual Information Solutions (February 17, 2009)
|


interface AdapterInterface
Methods
| ArchiveInterface |
open(String $path)
Opens an archive |
|
| ArchiveInterface |
create(String $path, String|Array|Traversable|null $files = null, Boolean $recursive = true)
Creates a new archive |
|
| Boolean |
isSupported()
Tests if the adapter is supported by the current environment |
|
| Array |
listMembers(ResourceInterface $resource)
Returns the list of all archive members |
|
| Array |
add(ResourceInterface $resource, String|Array|Traversable $files, Boolean $recursive = true)
Adds a file to the archive |
|
| static String |
getName()
Returns the adapter name |
|
| Array |
remove(ResourceInterface $resource, String|Array|Traversable $files)
Removes a member of the archive |
|
| SplFileInfo |
extract(ResourceInterface $resource, String|null $to = null)
Extracts an entire archive |
|
| SplFileInfo |
extractMembers(ResourceInterface $resource, Array $members, String|null $to = null)
Extracts specific members of the archive |
Details
at line 31
public ArchiveInterface
open(String $path)
Opens an archive
at line 49
public ArchiveInterface
create(String $path, String|Array|Traversable|null $files = null, Boolean $recursive = true)
Creates a new archive
Please note some adapters can not create empty archives.
They would throw a `NotSupportedException` in case you ask to create an archive without files
at line 56
public Boolean
isSupported()
Tests if the adapter is supported by the current environment
at line 67
public Array
listMembers(ResourceInterface $resource)
Returns the list of all archive members
at line 81
public Array
add(ResourceInterface $resource, String|Array|Traversable $files, Boolean $recursive = true)
Adds a file to the archive
at line 88
static public String
getName()
Returns the adapter name
at line 101
public Array
remove(ResourceInterface $resource, String|Array|Traversable $files)
Removes a member of the archive
at line 116
public SplFileInfo
extract(ResourceInterface $resource, String|null $to = null)
Extracts an entire archive
Note that any existing files will be overwritten by the adapter
at line 130
public SplFileInfo
extractMembers(ResourceInterface $resource, Array $members, String|null $to = null)
Extracts specific members of the archive


@* * Copyright 2020 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @(taxId: uk.gov.hmrc.preferencesadminfrontend.services.model.TaxIdentifier, preferences: List[uk.gov.hmrc.preferencesadminfrontend.services.model.Preference], failureCode: String)(implicit request: Request[_], messages: Messages, appConfig: uk.gov.hmrc.preferencesadminfrontend.config.AppConfig) @uk.gov.hmrc.preferencesadminfrontend.views.html.main_template(title = "User Summary", bodyClasses = None) {


AsiaPhos Chinese subsidiary's ex-staff withdraw severance pay claims: board
by Annabeth LeowCATALIST-LISTED Chinese phosphate miner AsiaPhos, which earlier this year saw a wholly owned subsidiary slapped by former employees’ claims for severance pay, said in a bourse filing on Friday that some of the claims have been voluntarily withdrawn.
Twenty former staff members of its Sichuan Mianzhu Norwest Phosphate Chemical Co unit had sought about 1.84 million yuan (S$358,600) in severance pay from the Chinese courts.
While the claim was dismissed in September by the Mianzhu Municipal People’s Court, a dozen of the former employees brought an appeal to the Deyang Intermediate Court in mid-October.
Now, AsiaPhos has said that 11 of the 12 former employees’ claims have been voluntarily withdrawn, according to a written notice received on Nov 7.
Separately, Mianzhu Norwest received another notice of claim in October over 20 former employees’ claim of about 870,000 yuan in the Mianzhu Municipal People’s Court.
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The AsiaPhos board said that further announcements will be made when there are material developments pertaining to the legal proceedings.
Shares in AsiaPhos did not trade on Friday, but last closed at 0.8 Singapore cent.


---
title: AccessLogPolicy Config
description: Configuration for AccessLogPolicy Filter.
location: https://istio.io/docs/reference/config/proxy_extensions/accesslogpolicy.html
layout: protoc-gen-docs
generator: protoc-gen-docs
weight: 20
number_of_entries: 1
---
Accesslog Policy plugin is a stateful http log sampler.
It decides whether a request is logged based on the following rules.
- All requests resulting in errors are logged.
- First successful request within log_window_duration from a specific
source ip (source principal) is logged.
The plugin records its decision in the istio.access_log_policy attribute with
a value of “no”. A downstream plugin may honor the the attribute. For
example, Stackdriver plugin will not produce an access log entry if this
attribute is set.
AccessLogPolicyConfig
Top level Config for Access Log Policy Config Filter.
| Field |
Type |
Description |
Required |
log_window_duration |
Duration |
Optional. Allows specifying logging window for successful requests.
The default duration is 12h .
|
No
|
max_client_cache_size |
int32 |
Optional. Allows specifying max client cache size.
The default is 500 entries.
|
No
|


MUSICXML2LY(1) User Commands MUSICXML2LY(1) NAME musicxml2ly - manual page for musicxml2ly (LilyPond) 2.14.2 SYNOPSIS musicxml2ly [OPTION]... FILE.xml DESCRIPTION Convert MusicXML from FILE.xml to LilyPond input. If the given filename is -, musicxml2ly reads from the command line. OPTIONS -h, --help show this help and exit --version show version number and exit -v, --verbose be verbose --lxml use lxml.etree; uses less memory and cpu time -z, --compressed input file is a zip-compressed MusicXML file -r, --relative convert pitches in relative mode (default) -a, --absolute convert pitches in absolute mode -l, --language=LANG use LANG for pitch names, e.g. 'deutsch' for note names in German --nd --no-articulation-directions do not convert directions (^, _ or -) for articulations, dynamics, etc. --nrp --no-rest-positions do not convert exact vertical positions of rests --npl --no-page-layout do not convert the exact page layout and breaks --no-beaming do not convert beaming information, use lilypond's automatic beam‐ ing instead -o, --output=FILE set output filename to FILE, stdout if - REPORTING BUGS Report bugs via http://post.gmane.org/post.php?group=gmane.comp.gnu.lily‐ pond.bugs COPYRIGHT Copyright © 2005--2011 by Han-Wen Nienhuys<EMAIL_ADDRESS>Jan Nieuwenhuizen<EMAIL_ADDRESS>and Reinhold Kainhofer<EMAIL_ADDRESS>This program is free software. It is covered by the GNU General Public License and you are welcome to change it and/or distribute copies of it under certain conditions. Invoke as `lilypond --warranty' for more information. SEE ALSO The full documentation for musicxml2ly is maintained as a Texinfo manual. If the info and musicxml2ly programs are properly installed at your site, the command info musicxml2ly should give you access to the complete manual. musicxml2ly (LilyPond) 2.14.2 February 2013 MUSICXML2LY(1)


{% block head %} {% endblock %}
{% for message in get_flashed_messages() %}
{{ message }}
{% endfor %}
Shopping More
Men's
Women's
Electronics
HeadPhones
Computers
CellPhones
Foods
Snacks
Drinks
CookedFoods
Sports & Outdoors
Basketball
Tennis
Golf
Clothing
Camping
Cycling
Search
{% if not loggedIn %}
Sign up
Sign in
{% else %}
Hello, {{firstName}}
Your orders
Edit profile
Change password
Sign Out
CART
{{noOfItems}}
{% endif %}
{% block content %} {% endblock %}


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{% extends 'base.html' %} {% load i18n %} {% block main %}
{% trans "Ooops! Something went wrong. That's all we know." %}


My name is Gabriel Palacios, I am a freshman at ULV starting the Fall 2021. I am majoring in physics
Two interesting things about me are:
- I know how to code in python
- I already have a HTML and CSS Background, including mobile, I used mobile first
FAVORITE WEBSITES
Platzi is where I originally learned about HTML and CSS as I told you
I enjoy reading SpaceX manuals and watching their launches.
Tesla Is great, and even I am not a lot of time in the website. I like how it is coded.
QUOTES
"There never was a good war or a bad peace"
Benjamin Franklin
"I think is possible for ordinary people to choose to be extraordinary"
Elon Musk
These are the quotes that I have read recently and liked the most. They are inspiring
VACATION SPOT
MATH PROBLEM
lim x -> ∞ 3x ⁄ 18x+9
MY MOOD
🗿


Hello! This is a sample file.
f o o
b a r
This is used for tests.
If you edit this, the tests may break.
This
contains
breaks.
1st
2nd
3rd
4th
5th
This tag is multiline.


#include <vms_monolithic_k_based_wall_condition.h>
template<unsigned int TDim, unsigned int TNumNodes = TDim>
class Kratos::VMSMonolithicKBasedWallCondition< TDim, TNumNodes >
- Template Parameters
-
| TDim | Dimensionality of the condition (2D or 3D) |
| TNumNodes | Number of nodes in the condition |
◆ BaseType
template<unsigned int TDim, unsigned int TNumNodes = TDim>
◆ GeometryType
template<unsigned int TDim, unsigned int TNumNodes = TDim>
◆ IndexType
template<unsigned int TDim, unsigned int TNumNodes = TDim>
◆ MatrixType
template<unsigned int TDim, unsigned int TNumNodes = TDim>
◆ NodesArrayType
template<unsigned int TDim, unsigned int TNumNodes = TDim>
◆ NodeType
template<unsigned int TDim, unsigned int TNumNodes = TDim>
◆ PropertiesType
template<unsigned int TDim, unsigned int TNumNodes = TDim>
◆ VectorType
template<unsigned int TDim, unsigned int TNumNodes = TDim>
◆ VMSMonolithicKBasedWallCondition() [1/5]
template<unsigned int TDim, unsigned int TNumNodes = TDim>
Default constructor.
Admits an Id as a parameter.
- Parameters
-
| NewId | Index for the new condition |
◆ VMSMonolithicKBasedWallCondition() [2/5]
template<unsigned int TDim, unsigned int TNumNodes = TDim>
Constructor using an array of nodes.
- Parameters
-
| NewId | Index of the new condition |
| ThisNodes | An array containing the nodes of the new condition |
◆ VMSMonolithicKBasedWallCondition() [3/5]
template<unsigned int TDim, unsigned int TNumNodes = TDim>
Constructor using Geometry.
- Parameters
-
| NewId | Index of the new condition |
| pGeometry | Pointer to a geometry object |
◆ VMSMonolithicKBasedWallCondition() [4/5]
template<unsigned int TDim, unsigned int TNumNodes = TDim>
Constructor using Properties.
- Parameters
-
| NewId | Index of the new element |
| pGeometry | Pointer to a geometry object |
| pProperties | Pointer to the element's properties |
◆ VMSMonolithicKBasedWallCondition() [5/5]
template<unsigned int TDim, unsigned int TNumNodes = TDim>
◆ ~VMSMonolithicKBasedWallCondition()
template<unsigned int TDim, unsigned int TNumNodes = TDim>
◆ ApplyWallLaw()
template<unsigned int TDim, unsigned int TNumNodes>
Applies rans based wall law.
This method calculate left hand side matrix and right hand side vector for following equation
[ u_\tau = max\left(C_\mu^0.25 \sqrt{k}, \frac{||\underline{u}||}{\frac{1}{\kappa}ln(y^+)+\beta}\right) ]
integration point value = \rho \frac{u_\tau^2}{||\underline{u}||}\underline{u}
- Parameters
-
| rLocalMatrix | Left hand side matrix |
| rLocalVector | Right hand side vector |
| rCurrentProcessInfo | Current process info from model part |
◆ Check()
template<unsigned int TDim, unsigned int TNumNodes>
◆ Clone()
template<unsigned int TDim, unsigned int TNumNodes = TDim>
Clones the selected element variables, creating a new one
- Parameters
-
| NewId | the ID of the new element |
| ThisNodes | the nodes of the new element |
| pProperties | the properties assigned to the new element |
- Returns
- a Pointer to the new element
◆ Create() [1/2]
template<unsigned int TDim, unsigned int TNumNodes = TDim>
◆ Create() [2/2]
template<unsigned int TDim, unsigned int TNumNodes = TDim>
Create a new VMSMonolithicKBasedWallCondition object.
- Parameters
-
| NewId | Index of the new condition |
| ThisNodes | An array containing the nodes of the new condition |
| pProperties | Pointer to the element's properties |
◆ Info()
template<unsigned int TDim, unsigned int TNumNodes>
Turn back information as a string.
◆ Initialize()
template<unsigned int TDim, unsigned int TNumNodes>
◆ KRATOS_CLASS_INTRUSIVE_POINTER_DEFINITION()
template<unsigned int TDim, unsigned int TNumNodes = TDim>
◆ operator=()
template<unsigned int TDim, unsigned int TNumNodes = TDim>
◆ PrintData()
template<unsigned int TDim, unsigned int TNumNodes>
◆ PrintInfo()
template<unsigned int TDim, unsigned int TNumNodes>
Print information about this object.
◆ Serializer
template<unsigned int TDim, unsigned int TNumNodes = TDim>
The documentation for this class was generated from the following files:


recursions module¶
-
recursions.
eye_gm
(n)[source]¶ This function creates an n x n identity matrix using gmpy2 ones and zeros. It is used instead of np.eye in places where rational arithmetic is required.
-
recursions.
mem
(func)[source]¶ This is a decorator function that memoizes the recursive functions.
This function is used as a decorator in multiple places thoughout the code files.
-
recursions.
mem2
(func)[source]¶ This is a decorator function that memoizes recursive functions that return arrays of values from index 0 to j. If the recursion has already been called on a higher index, this decorator will cause the function to automatically return those precomputed values.
Example: Suppose mem2 decorates the function alpha_array(j), which returns [alpha_0, … , alpha_j]. Calling alpha_array(10) will return [alpha_0, … , alpha_10]. Calling alpha_array(5) immediately after will return [alpha_0, … , alpha_10] without having to compute those values again.


Princess Peach
Manager
Mario Plumber
Engineer
Luigi Plumber
Yoshi Dinosaur
Toad Stool
Mushroom University
Intern


Uniquely Mapped Reads : reads that mapped uniquely to the genome.
Multi-Mapped Reads : reads that mapped to multiple locations in the genome.


Long-awaited return for women’s basketball league
PARTICIPATION in women’s basketball in Jersey will only increase with the introduction of an organised league, according to its founder.
The JBBA Ladies League kicked off last week with the new format being the first competitive women’s basketball played in the Island in almost two decades.
Women have been playing in the men’s system but now they have their own designated league, made up of four teams.
Founder James Reed believes it will only improve women’s basketball and lead to an increase in people taking up the sport.
He said: ‘It is the first time it has been run for 18 years, we believe, so it is great to get it up and running.
‘Women have always played in basketball but up to now it has had to be in the men’s league.
‘Having this league is great, we hope it will grow the number of people involved and improve women’s basketball for the Island.’


Video Holder Post
Bootstrap Side Navigation practically invented the term "bloatware". We pride ourselves not only on our feature set, but our user-proof administration and non-complex configuration. What does the buzzword "customer-defined" really mean? We think that most leading-edge entry pages use far too much XSLT, and not enough AJAX...
Mixed Content Slider
Bootstrap Side Navigation practically invented the term "bloatware". We pride ourselves not only on our feature set, but our user-proof administration and non-complex configuration. What does the buzzword "customer-defined" really mean? We think that most leading-edge entry pages use far too much XSLT, and not enough AJAX...
Just an Image
Bootstrap Side Navigation practically invented the term "bloatware". We pride ourselves not only on our feature set, but our user-proof administration and non-complex configuration. What does the buzzword "customer-defined" really mean? We think that most leading-edge entry pages use far too much XSLT, and not enough AJAX...
There's No Image
Bootstrap Side Navigation practically invented the term "bloatware". We pride ourselves not only on our feature set, but our user-proof administration and non-complex configuration. What does the buzzword "customer-defined" really mean? We think that most leading-edge entry pages use far too much XSLT, and not enough AJAX...


| summary.glm {stats} | R Documentation |
These functions are all methods
for class glm
or
summary.glm
objects.
## S3 method for class 'glm' summary(object, dispersion = NULL, correlation = FALSE, symbolic.cor = FALSE, ...) ## S3 method for class 'summary.glm' print(x, digits = max(3, getOption("digits") - 3), symbolic.cor = x$symbolic.cor, signif.stars = getOption("show.signif.stars"), ...)
object |
an object of class |
x |
an object of class |
dispersion |
the dispersion parameter for the family used.
Either a single numerical value or |
correlation |
logical; if |
digits |
the number of significant digits to use when printing. |
symbolic.cor |
logical. If |
signif.stars |
logical. If |
... |
further arguments passed to or from other methods. |
print.summary.glm
tries to be smart about formatting the
coefficients, standard errors, etc. and additionally gives
‘significance stars’ if signif.stars
is TRUE
.
The coefficients
component of the result gives the estimated
coefficients and their estimated standard errors, together with their
ratio. This third column is labelled t ratio
if the
dispersion is estimated, and z ratio
if the dispersion is known
(or fixed by the family). A fourth column gives the two-tailed
p-value corresponding to the t or z ratio based on a Student t or
Normal reference distribution. (It is possible that the dispersion is
not known and there are no residual degrees of freedom from which to
estimate it. In that case the estimate is NaN
.)
Aliased coefficients are omitted in the returned object but restored
by the print
method.
Correlations are printed to two decimal places (or symbolically): to
see the actual correlations print summary(object)$correlation
directly.
The dispersion of a GLM is not used in the fitting process, but it is
needed to find standard errors.
If dispersion
is not supplied or NULL
,
the dispersion is taken as 1
for the binomial
and
Poisson
families, and otherwise estimated by the residual
Chisquared statistic (calculated from cases with non-zero weights)
divided by the residual degrees of freedom.
summary
can be used with Gaussian glm
fits to handle the
case of a linear regression with known error variance, something not
handled by summary.lm
.
summary.glm
returns an object of class "summary.glm"
, a
list with components
call |
the component from |
family |
the component from |
deviance |
the component from |
contrasts |
the component from |
df.residual |
the component from |
null.deviance |
the component from |
df.null |
the component from |
deviance.resid |
the deviance residuals:
see |
coefficients |
the matrix of coefficients, standard errors, z-values and p-values. Aliased coefficients are omitted. |
aliased |
named logical vector showing if the original coefficients are aliased. |
dispersion |
either the supplied argument or the inferred/estimated
dispersion if the latter is |
df |
a 3-vector of the rank of the model and the number of residual degrees of freedom, plus number of coefficients (including aliased ones). |
cov.unscaled |
the unscaled ( |
cov.scaled |
ditto, scaled by |
correlation |
(only if |
symbolic.cor |
(only if |
## For examples see example(glm)


We are Anywhere Fitness!
Our application is designed to help YOU meet your fitness needs! Use the app to be able to find classes and instructors in your area! We accept applications for new instructors as well as having new members join every day! This application is meant for everyone, and you can also search for classes based on skill level and intensity. The opportunity to go to classes near you can also help you meet new people and give an opportunity for you to make new friends! Make sure you look at the skill and intensity ratings of a class so you know what you're going to be doing! Generally, the higher the intensity, the higher the skill level. Thank you for choosing Anywhere Fitness! Make sure to leave us feedback on how we can improve the application using our contact page. This also can be used for ideas of new modules we could add.


We exchange services!
- morph end-to-end platforms
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STUDENT REGISTRATION
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Epicodus Pizza
Let's make a' da pizza!
Pick your size
Small $10
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Large $16
Select Toppings
Pepperoni.
Canadian Bacon.
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Order!
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You ordered a
size pizza with
. Your total Price is $
!


Deprecated: This plugin has been removed from the Jenkins Update Centre
Please use the Emotional Jenkins Plugin instead.
Archived versions of this plugin remain available for download.
Plugin Information |
|---|
No information for the plugin 'emotional-hudson' is available. It may have been removed from distribution. |
This funny plugin changes the expression of Mr. Hudson in the background when your builds fail.
The plugin is maintained by Masanobu Imai and is hosted on its own project site at Google Code. Also check Kohsuke's introduction of this plugin.
Once installed, you need to enable this on per-job basis.
Screenshot
Change Log
Version 1.3 (Nov 19, 2011)
- JENKINS-11812
Version 1.2 (Apr 16, 2010)
- Update code for more recent Hudson


| About Dailyrotten |
|
Feedback
If you like this page, hate it, or would like to suggest changes,
<EMAIL_ADDRESS>is listening. This page
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September 17, 2002
Gay flies the new hot date
New Scientist | Submitted by: DEUCE
"A mere change in temperature is all it takes for the males of a new line
of genetically engineered flies to switch from being heterosexual to suddenly
courting other males. The switch occurs within minutes and is fully reversible,
meaning scientists have for the first time a system they can manipulate to
study how some brain regions may be involved in determining sexual orientation."
|
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Read article...
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Artists mad at recording industry
USA Today | Submitted by: Soylent
"Producer Steve Albini, trashing label practices in The Baffler magazine,
outlines a hypothetical but typical record deal that bestows a $250,000
advance on a young band. The album sells 250,000 copies, earning $710,000
for the label. The band, after repaying expenses ranging from recording
fees and video budgets to catering, wardrobe and tour bus costs, is left
$14,000 in the hole on royalties."
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Australia far more wiretapped than USA
Australian | Submitted by: Soylent
"Police are being given authority to tap telephone conversations at such an
unprecedented rate that Australians are 20 times more likely to be bugged
than Americans. But despite the rate of tapping increasing ninefold over the
past decade, the ability of Australian authorities to secure convictions as a
result of listening to telephone calls is lower than in the US."
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Iceman's final meal
BBC | Submitted by: Boat6float
"The last two meals eaten by the 5,300-year-old iceman, dubbed Oetzi, have
been revealed by scientists... We were very impressed by the quality of the
meals he had. The diet of people living at this time included rabbit, rats,
squirrel; all sorts of things. But the iceman, in his last two meals, had
red deer and ibex meat."
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London face, London booty
Sun | Submitted by: Ann Onymous
"The event ended with a three bum-salute in honour of The Sunís homage to
the derriere. Models at catwalk shows for designers Scott Henshall and Richard
Kinloch bared their booty in front of packed audiences, proving bums are
definitely the new black."
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Police terror at Eagles-Redskins game
Wire Services | Submitted by: Crazy Quagga
Although not mentioned in the article, there was concern that a terrorist
had released a bio- or chemo-weapon behind the Eagles' bench. "Players and
fans in the stands on that side of the field held their hands over their
faces." It turned out to be police pepper spray trying to break up a fight.
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Maine buses offer in-house pickup
Portland Press Herald | Submitted by: Evan
It appears that buses in Maine will now pick your kids up at your door or
even in your bedroom: "A Bonny Eagle school bus driver crashed her busload
of students into a house on Monday, after losing control of the vehicle
when she hurt herself lunging to catch a falling cup of soda."
Great pictures.
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Hot coffin babes
Wire Services | Submitted by: Crampon
"One Italian funeral home is trying to make the afterlife a tad more
tempting by using bikini-clad women to sell its coffins... "Unfortunately
the site hasn't helped sales much, because we mostly get calls from far
away places like Greece and Spain instead of Rome," Tenara told Reuters."
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Read article... and
This... and
This...
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Calendars from Hell
Fox News | Submitted by: Son of Benway
"At least three different calendars featuring ordinary folks in their
birthday suits will help spice up 2003: one of local businessmen in
Brattleboro, Vt.; another of female wool spinners in Maine; and a third
of farmers in Sweden..."Maybe it's a continuation of The Full Monty,"
said Thomas E. Fegley, the former president of the Brattleboro
Rotary Club, which produced the calendar."
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PETA support of terrorism
Fox News | Submitted by: Son of Benway
"Records show that PETA, known for its publicity stunts on behalf of
animal rights, has given monetary support to the Environmental Liberation
Front, which has been blamed for the Vail attack and other acts. "We did it,
we did it. We gave $1,500 to the ELF for a specific program," said PETA
President Lisa Lange. Lange did not say which program PETA sponsored. But
from burning down buildings to blowing up SUVs, ELF is one of America's
largest domestic terrorist group, the FBI says."
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Read article...
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Alcoholic Milk
Melbourne Herald Sun | Submitted by: Pvblivs Clodivs
"In a move condemned by health authorities, the company wants to make
strawberry, banana and chocolate flavoured drinks, known as Moo Joose,
and sell them in bottle shops, pubs and nightclubs... Health authorities
yesterday slammed the sweet shots of milk, and accused the producers of
encouraging under-age drinking."
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Read article...
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Girl dies of water overdose
Salt Lake Tribune | Submitted by: A. P. Alled
Yes, there is an LD50 (the lethal dose at which fifty percent of those
to whom the substance is administered end up dead) for water. And
we don't mean drowning: "Investigators first thought the death could
have resulted from "holding" therapy. Police changed their focus after
the medical examiner determined the girl died of water intoxication."
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Read article...
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Name: career
Input: Multiple paths.
Output: Group.
Definition: Short description of the function, style of the old system manual
Argumentlist:
Argument No 1 (required)Path with group as last component.
Argument No 2(required)Path with element as last component.
Structlist:
Name: first
sublist
- optional Numeric range
- Comma separated list of comparison values,
each optionally followed by numeric range.
Name: retry
sublist
- optional Numeric range
- Comma separated list of comparison values,
each optionally followed by numeric range.
Name: arbitrary
sublist
- optional Numeric range
- Comma separated list of comparison values,
each optionally followed by numeric range.
Name: self
sublist
- optional Numeric range
- Comma separated list of comparison values,
each optionally followed by numeric range.
Name: without
sublist
- Comma separated list of comparison values,
each optionally followed by numeric range.
Name: others
sublist
- Comma separated list of comparison values,
each optionally followed by numeric range.
Discussion:
Detailed explanation and examples


Deal ✷3 damage to adjacent enemy, knocking target directly away by 2 ⬡s, +✷3 damage if the target cannot be knocked back fully.
May launch 6✕D20 or 2✕D12 or 10✕D6
When destroyed☠, spawn a Zegaturret in this ⬡.
6✚ HP; No turn token;
Prismatic Alignment - May launch 6✕D20 or 2✕D12 or 10✕D6


Innovative Group
Nepal Innovative Agriculture Group(NIAG) is an organization built for the utilization of agriculture wastage and production of the compost manure through this website.In this website, people can contact us for any collection of waste through email and farmers can also contact us for the compost manure.
Goals:
Creating value instead of waste and reduce green house gas emissions
Providing long term jobs to the local community
Helping farmers to produce organic and high quality vegetables and fruits
The main objectives are:
Collect and treat 20-50 tons of municipal organic waste per day
Produce high quality organic compost
Hire, train and employ over 30 people
Move farmers towards organic agriculture by providing training and high quality organic fertilizer
Create a long term sustainable and profitable business
Our Team


[gecode-users] Gecode terminates on incomplete solution
Philipp Keck
philipp.keck at gmx.de
Thu Jun 12 21:15:28 CEST 2014
Hi Christian,
thanks for your reply!
You are right, the boolean variants of these constraints can be modeled
like that. In fact, my current solution works fine with "linear" - but
it's slow. Therefore, I was looking for specialized constraints like
"distinct" or "atmost", because Max indicated that they might be faster
("They usually perform much better than linear constraints.").
If however the "linear" constraint in Gecode is already as good as
possible (I use the first one here
http://www.gecode.org/doc-latest/reference/group__TaskModelIntLB.html#ga7dbaf2c0ceb605f34731328004c73b57),
I'll stick with that. Since I don't know that much about constraint
propagation, I imagine (!) that a linear constraint requires some sort
of computation to sum up a (weighted) array, while an implementation of
"atmost_1" would only need to store the single variable from the array
that is currently true, and then prevent the rest from being set to
true. That's why I currently believe (!) that "linear" might by
unnecessarily powerful and not optimally efficient for my use case.
Again, I may well be wrong.
A "distinct" constraint on boolean variables would only make sense for
two variables, obviously. What I need is something like "distinct except
0"
(http://www.emn.fr/z-info/sdemasse/gccat/Calldifferent_except_0.html),
i.e. variables set to zero/false are ignored and only one variable is
allowed to be true/one. I can't achieve that with inequality, because
two variables may be 0, actually even all variables may be 0.
It does work with a pair-wise NAND constraint implemented like that:
forall i != j do: rel(*this, variables[i], BOT_AND, variables[j], 0);
But that gives me O(n^2) constraints only to express the single
requirement that at most one of these variables can be true. And I have
O(m^2) of these if m is my problem size, so I would end up with O(m^4)
constraints in Gecode. Am I overlooking something like an inequality
constraint for multiple boolean variables?
Best
Philipp
Am 12.06.2014 17:19, schrieb Christian Schulte:
> Hi,
>
> Yes, it is true that these constraints do not exist for 0/1 as they are not
> needed:
> - distinct for Boolean variables is inequality
> - atmost/count is linear for 0/1! Check MPG.
>
> Best
> Christian
>
> --
> Christian Schulte, Professor of Computer Science, KTH,
> www.ict.kth.se/~cschulte/
>
>
> -----Original Message-----
> From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On Behalf
> Of Philipp Keck
> Sent: Thursday, June 12, 2014 3:27 PM
> To: Max Ostrowski; tack at gecode.org; users at gecode.org
> Subject: Re: [gecode-users] Gecode terminates on incomplete solution
>
> Hi Guido, Hi Max,
>
> thank you very much for taking your time! Your tips and ideas just doubled
> the size of my todo list :-), that's why it took me so long to reply. In
> particular, the tip about pseudo-boolean solvers was great. I am now
> experimenting with Sat4J (both PB and MinCostSAT), which is a lot slower
> than Gecode, but solves some more problem instances on which Gecode needs to
> search a large tree. But because it is only quick on decision problems and
> too inefficient for my optimization problems, I continue my experiments with
> Gecode.
>
> About the initial problem mentioned in the subject of this mail:
> BoolVarArray was indeed the solution. I didn't copy it from the examples at
> first, because I don't know in advance how much variables there will be, so
> I thought I couldn't use it. But by first reading all the variables to a
> list and then placing them in an (uninitialized) BoolVarArray works fine.
> Thank you!
>
> Thanks to Gist, I can now try to experiment with different kinds of
> constraints. It looks like the search space is simply too large right now.
> With Gist activated, Gecode explores around 500 failures every two seconds -
> no matter which way I model the constraints. In comparison to the entire
> (binary) search tree, that's almost nothing. After a few hours, more than
> 90% of the search tree is still linear (to the left), i.e. has not yet been
> explored.
>
> Is it true that alldifferent/distinct/atmost/count only exist for integer
> variables? And according to the manual BoolVars can't be casted to IntVars.
> But maybe this is a solution (I don't know enough C++ to
> tell): As described in the manual Figure 27.4, one could use
> Gecode::Int::Count::LqInt<VX,VY> to implement a "count" or "atmost"
> method that accepts a BoolVarArray instead of a IntVarArray. Is that
> possible?
> The kind of constraint I need should ensure that at most one of a given list
> of boolean variables is true. So it could be "all different except 0",
> "distinct except 0", "Multi-XOR", or it could be modeled with "atmost" or
> "count", if they are able to handle boolean variables.
>
> Best,
> Philipp
>
> Am 19.05.2014 09:36, schrieb Max Ostrowski:
>> Hi,
>>
>> On 05/18/2014 06:38 PM, Philipp Keck wrote:
>>> Hi,
>>>
>>> I am new to Gecode and also to Constraint Programming. While my first
>>> problem may be a general CP question (so off-topic here? In that case
>>> ignore it please.), my second problem is Gecode-specific.
>>>
>>> My first problem is that Gecode either finds a solution immediately
>>> (<1ms) and without any backtracking (peak-depth equals explored
>>> nodes-1), or takes longer than I want to wait (at least 2 hours).
>>> This problem might be related to my problem instances, because
>>> or-tools shows exactly the same behaviour. My problem instances have
>>> 1,000 to 10,000 boolean variables and 400 to 2,500 constraints. There
>>> are both large and small instances that can be solved within
>>> milliseconds, and both large and small instances that take a long
>>> time. For those that take more than
>>> 2 hours, I still am sure that there is a solution, because Gurobi
>>> finds one when I formulate the same problem as an LP.
>>> How could I improve the running time of Gecode here? Does adding more
>>> constraints make finding (any feasible) solution faster (because the
>>> search space is more restricted and therefore the search tree is
>>> smaller) or slower (because there are simply less solutions)? Should
>>> I add redundant constraints?
>> If adding more constraints make the search faster or not can not be
>> said in general.
>> Adding redundant constraints is always worse a try, if you can improve
>> propagation strength with it.
>>> For a set of boolean variables, if I want at most one of them to be
>>> 1, is it better to add "a+b+c+... <= 1" using a linear-Constraint, or
>>> should I use "a!=b", "a!=c", "b!=c", ... instead? Unfortunately I
>>> have difficulties finding out the answers by experimenting because
>>> Gecode runs for such long times. Is there a way to get some output
>>> during the computation?
>> The first thing you can try is using global cosntraints that exactly
>> fit your needs.
>> In this case, allDifferent or atmost, etc...
>> They usually perform much better than linear constraints.
>> (It may be the case that Gecode automatically detects this in your
>> case and replaces the linear constraints with the global constraints.
>> )
>>
>> Furthermore, your problem sounds like a PB(Pseudo-Boolean) problem.
>> So maybe you should try a PB solver.
>>
>> Best,
>> Max
>>
>>> My second problem is a weird behaviour of Gecode terminating with
>>> some variables remaining unassigned:
>>> My models have the following structure: I have boolean variables only
>>> and two kinds of constraints. The first kind of constraints requires
>>> exactly c variables out of a certain subset to be 1, e.g. "a+c+d+x+y
>>> = 3" or "a+b = 1". The second kind allows at most one variable to be
>>> 1, e.g. "a+b+r <= 1". That's all.
>>> As mentioned above, Gecode either terminates immediately, or takes a
>>> very long time. However, I have a particular problem instances that
>>> makes Gecode terminate and report "solutions: 1" without having all
>>> the variables set. So there are variables that still have [0..1]
>>> instead of a specific value and val() throws ValOfUnassignedVar. Why
>>> does Gecode terminate before it has a solution?
>>> I call it like this:
>>> branch(*this, allVariablesArgs, INT_VAR_NONE(), INT_VAL_MIN()); Using
>>> this call on the other hand makes Gecode compute forever (i.e.
>>> more than 2 hours):
>>> branch(*this, allVariablesArgs, INT_VAR_RND(someRnd),
>>> INT_VAL_RND(someOtherRnd));
>>>
>>> The problem might be related to how I implemented the copy function.
>>> I have my variables inside a std::map<std::string, BoolVar> *and*
>>> inside a BoolVarArgs and clone them like this:
>>> variablesMap = s.variablesMap;
>>> allVariablesArgs = BoolVarArgs(s.allVariablesArgs); I don't know if
>>> that's the correct way to go. In particular, my copy implementation
>>> never uses the share-parameter.
>>> After reading the thread "Integer Variable Randomization" on this
>>> mailing list, I also tried setting -c-d and -a-d to high values, but
>>> still the copy-method was called many times.
>>>
>>> Thank you for any help!
>>> Philipp
>>>
>>> Platform: Windows 7 x64, Visual Studio 2013 x64, Gecode 4.2.1
>>>
>>> _______________________________________________
>>> Gecode users mailing list
>>> users at gecode.org
>>> https://www.gecode.org/mailman/listinfo/gecode-users
>
> _______________________________________________
> Gecode users mailing list
> users at gecode.org
> https://www.gecode.org/mailman/listinfo/gecode-users
>
More information about the users
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My goal is to help improve your life balance, and help you create and keep track of goals.
With that being said, how often should I check up on your progress?
How often do you wish to be reminded of a random goal?


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{% img '{{ assets[sp.logo].filename }}' %}
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Dartis scores 32 to carry Ohio past Middle Tennessee 75-63
by The Associated PressCONWAY, S.C. (AP) — Jordan Dartis made eight 3-pointers and finished with 32 points and Ohio beat Middle Tennessee 75-63 in the Myrtle Beach Invitational on Sunday night.
Dartis, as 6-foot-3 senior, was 9-of-18 shooting. He has five career games with at least seven made 3s including a career-high 10 in a 99-75 win over Akron on Feb. 6, 2018. Dave Jamerson set the program record with 14 3-pointers, and then about two months later, made 11 in the 1989-90 season.
Jason Preston had 15 points and nine assists for Ohio, Sylvester Ogbonda added 12 points and Ben Vander Plas had 11 rebounds.
Antonio Green and C.J. Jones had 13 points each for the Blue Raiders (3-4), who have lost four games in a row. Donovan Sims added 10 points.
Ohio (4-3) takes on Detroit at home on Saturday. Middle Tennessee matches up against Belmont at home on Saturday.
___
For more AP college basketball coverage: https://apnews.com/Collegebasketball and http://twitter.com/AP_Top25
___
Elements of this story were generated by Automated Insights, http://www.automatedinsights.com/ap, using data from STATS LLC, https://www.stats.com
The Associated Press


If it takes a given computer one second on average to run Quicksort on an array of 1000 records, how long (to the nearest thousand seconds) will it take to run Quicksort on 1,000,000 records? (Hint: You know from this statement that the machine can do about 10,000 comparisons per second. To get the answer, you first need to compute about how many total comparisons 1,000,000 records will require.)
What is Quicksort's average case running time?
It is \Theta(n \log n)
This means 10 \cdot 1000
instructions ran in
one second for an input of 1000 records
What is n \log n
when
n = 1,000,000
?
It is about 20 \cdot 1,000,000
How many seconds is 20,000,000/10,000
?


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David Viviano, Zerun Tian, Nikita Goyal, Kabir Dugal
Service-Learning Course Project as part of DS 4200: Information Presentation and Visualization, taught by Prof. Cody Dunne, Data Visualization @ Khoury, Northeastern University.
The Chester Square Park Neighborhood Association has asked us to create a visualization that is focused on the pedestrians. They have noticed that pedestrians have opted to use the pathways that are closest to the main road, as opposed to the pathways that go through the park, due to reasons such as convenience, safety, etc. We were asked to emphasize this problem in our visualizations. We anticipate that the primary user of our visualization will be the Chester Square Neighborhood Association members. We also want it to be an entry point for more professional users, such as policy makers. Our visualization should be simple enough to gain local support but advanced enough to justify professional interest.
Chester Square Park Pathways
Resident Survey Responses (Parallel Coordinates Chart)
Legend
Resident Survey Responses (Table)
Our visualization consists of three parts: a highlightable map of the Chester Square neighborhood, a parallel coordinates chart, and a table; all three are linked via the table, and are based off of data collected via observation and/or survey results. The primary result of our survey data is the parallel coordinates chart connected to the table below, showing the different answers provided by resident respondents to the survey. This was the chosen method to display this data because of simplicity of design and the way in which one could track each survey response and how each path they chose differed under different circumstances. One can interact with this by selecting a subset of the total values in a given column to see different responses to the survey at the same time and better track the choices of each respondent. Given the relatively small nature of the dataset, all the responses were presented in the table below the parallel coordinates chart. One can interact with this by clicking a row, representing a singular response, which then highlights the paths shown in that response on the adjacent map.
Final visualization screenshots below.
We worked with 2 data sets to create the above visualizations - data from observations of pedestrians in Chester Square Park, and data from a survey sent to residents of the neighborhood. Our first data set is observation data that was collected by watching and recording the start locations, end locations, and the chosen path of pedestrians on-site. This data is meant to provide information on the travel tendencies of everyday commuters. Our second data set comes from a survey that we sent to the Chester Square Neighborhood Association, from which we received 14 responses. These results provide pathway preferences of residents under different circumstances.
Our observation data contains the numbers 1-6, which corresponds to values on our map visualization. ‘Path Taken’ represents the pathway that the pedestrian took. The encoding, A-H, corresponds to the paths labeled on our map vis. The ‘To Destination’ column stores the values ‘N’ and ‘S’. ‘N’ means the pedestrian was travelling towards Northeastern, while ‘S’ means the pedestrian travelled towards Boston Medical Center. Finally, we recorded the date/time we collected data in the final column. For our survey data, each row represents a residents responses. The survey questions are the column headers: we kept track of what side of Massachusetts Avenue they live on, which paths they take in rush/non-rush situations, and which paths they would prefer to take in rush/non-rush situations.
The above parallel coordinates visualization should be able to answer the following tasks: “Which pedestrian paths are used most and least?” and “Why does a pedestrian use a Chester Square sidewalk?”. It was created from survey data, highlighting resident’s preferences for paths in the neighborhood under different time constraints. When selecting a particular response/resident, that resident’s preferred paths will be highlighted in the parallel coordinates chart. In the map next to this, those paths will be highlighted, making it possible for the viewer to understand which paths are preferred while the resident is in a rush versus not in a rush, as well as most and least preferred path. The congestion of that path will be encoded in terms of line thickness, showing which routes are more popular using data from our data collection dataset. This is encoded in a map as to make it clear which path the pedestrian chose - if it is a more direct route or not. This visualization will highlight the reasons people use different paths as well as the overall most popular paths for residents and non-residents alike, in an attempt to more fully understand the pedestrian dynamic of Chester Square.
This final visualization is a product of many iterations of design. In trying to understand the ask of our stakeholder, the Chester Square Neighborhood Association, we were tasked with finding innovative ways to display the overall problem of pedestrian traffic. We created a number of preliminary ideas, some of which were then implemented. Below are the first sketches of potential visuals:
The final design we chose was a combination of the two main visuals; our group felt as if a map was necessary to understand the different spatial dynamics of the pedestrian project, while the parallel coordinates chart was a comprehendable chart, that was abstract enough to be visually appealing while displaying a wealth of information. Overall, the three main visuals in our final visualization all are linked and display information via brushing and linking so the user can get a holistic view of the problem at hand.
We hope that our visualizations provide the Chester Square Park Neighborhood Association with the necessary information to begin their project on improving the experience of pedestrians using the neighborhood, as well as on improving the overall neighborhood attractiveness. We believe that they will be able to increase the efficiency of pedestrian traffic with ease, seeing as we made sure to emphasize the paths with the most/least congestion. In terms of future work, our team sees the visualization possibly encompassing real-time updates of pedestrian traffic. This would provide better insight into how congested the paths get at a specific time, on a specific day. We also see the potential to add more detail to the map, such that it better incorporates features of the park, and so that so that it is more visually pleasing to the user.
List here where any code, packages/libraries, text, images, designs, etc. that you leverage come from.


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Modal Internal Content Shell
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--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/a.20strange.20type.20ascription.20error.html ---
I am getting an error of the form
invalid type ascription, term has type @eq X a b but is expected to have type @eq Y a b
where here X
and (especially) Y
are quite large expressions.
But a
and b
are just names of hypotheses. Any advice on dealing with this sort of thing?
It seems like merely from the fact that the two terms separately typecheck I should have a proof that X = Y
...
Curiously here, even though the goal prints as a = b
, writing show a = b
results in show tactic failed
.
... immediate problem solved, (remove a few unnecessary @[reducible]
attributes), although I don't really understand what was going wrong.
I have seen a tactic produce a goal which was not well-typed before, and it was very confusing. Sounds like the same sort of issue?
In my case the offending tactic was induction using quotient.ind
; from your resolution, it sounds unrelated
I guess the main point is that "the goal in tactic mode is well-typed" is not a 100% iron-clad guarantee, although it surely indicates a bug somewhere if it is violated.
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


Source code for webgme_bindings.util
[docs]class Util(object):
"""
Contains useful utility functions outside of the core and project API.
"""
def __init__(self, webgme):
self._webgme = webgme
self._gme_config = None
def _send(self, payload):
payload['type'] = 'util'
self._webgme.send_request(payload)
return self._webgme.handle_response()
@property
def gme_config(self):
"""
A nested dictionary with `configuration parameters for webgme <https://github.com/webgme/webgme/tree/master/config>`_.
"""
if self._gme_config is None:
self._gme_config = self._send({'name': 'gmeConfig', 'args': []})
return self._gme_config
[docs] def save(self, root_node, commit_hash, branch_name=None, msg='Save initiated from python api.'):
"""
Persists the core tree from root node and makes a commit to the database.\
This method is short-hand for (but does not send all persisted objects over zeromq):\
:code:`persisted = webgme.core.persist(root_node)`
:code:`webgme.project.make_commit(branch_name, [commit_hash], persisted['rootHash'], persisted['objects'], msg)`
:param root_node: root of core tree that should be persisted and committed.
:type root_node: dict
:param commit_hash: commit-hash from where the now mutated root node came from
:type commit_hash: str
:param branch_name: Name of branch to update (will only insert a commit if not given).
:type branch_name: str
:param msg: Commit message.
:type msg: str
:returns: Status about the commit and branch update (same as project.makeCommit)
:rtype: dict
:raises JSError: The result of the execution.
:raises CoreIllegalArgumentError: If the supplied root_node is of wrong format
"""
return self._send({
'name': 'save',
'args': [root_node, commit_hash, branch_name, msg]
})
[docs] def unload_root(self, node):
"""
Removes the reference to the root node associated with the node inside the corezmq.js module allowing\
the tree to be garbage collected. This should typically not be needed as the typical usage of\
the bindings is to load and work with one (or two roots) and then terminate the corezmq.js server.
:param node: any node in a core tree
:type node: dict
:returns: Nothing is returned by the function.
:rtype: None
:raises JSError: The result of the execution.
"""
self._send({
'name': 'unloadRoot',
'args': [node]
})
[docs] def equal(self, node1, node2):
"""
Checks if two node dicts represent the same node.
:param node1:
:type node1: dict
:param node2:
:type node2: dict
:return: True if the nodes are equal
:rtype: bool
"""
return node1['nodePath'] == node2['nodePath'] and node1['rootId'] == node2['rootId']
[docs] def traverse(self, node, visitor_fn):
"""
Traverses the sub-tree starting from node and invokes visitor_fn with each encountered node (including
the passed in node).
:param node: The root-node of the subtree to traverse.
:type node: dict
:param visitor_fn: The function invoked at each encountered node.
:type visitor_fn: function
:returns: Nothing is returned by the function.
:rtype: None
:raises CoreIllegalArgumentError: If some of the parameters don't match the input criteria.
:raises CoreIllegalOperationError: If the context of the operation is not allowed.
:raises CoreInternalError: If some internal error took place inside the core layers.
"""
core = self._webgme.core
def traverse_rec(sub_root_node):
visitor_fn(sub_root_node)
for child in core.load_children(sub_root_node):
traverse_rec(child)
traverse_rec(node)


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Time flies faster when you are having fun! I didn't believe it back then. But now I do after experiencing it. It couldn't have been more accurate that here I am writing my concluding blog of the GSoC 2020: The Linked Commons series when I just started enjoying things.
In this post, I will give a brief overview of the linked commons and my GSoC contributions. It was an exciting journey, and I loved working on this project.
Before I begin any further just for ritual, let me share a one liner on what The Linked Commons is, although I highly recommend reading the other posts in this series, who knows you might join our team.😉
The CC catalog data visualization or linked commons is a web application which finds and explores relationships between Creative Commons licensed content on the web.
My primary contributions to the project during the GSoC timeline were threefold.
Firstly, revamp the design and migrate the project to react.js for a fast and scalable rendering performance.
Secondly, add graph filtering methods and scale the data to enable users to visualize massive data more efficiently.
At last, make the developer onboarding easy by dockerizing the project and bring more application portability.
GSoC Work Product
The live version of the linked commons can be found here. You can interact with it and "explore the creative commons in graphs".
If you wish to access the raw or filtered data, then here is a brief documentation of our new API.
URL: /api/graph-data Method: GET Description: Returns a randomized graph having around 500 nodes and links.
URL: /api/graph-data/?name={node_name} Method: GET Description: Returns the filtered graph with a set of nodes which are either immediate neighbours to {node_name} in the original graph or the transpose graph.
URL: /api/suggestions/?q={query} Method: GET Description: Returns a set of nodes which contains the {query} pattern in their nodeid
Demo
My Code Contributions
Repository: https://github.com/creativecommons/cccatalog-dataviz/
Commits: https://github.com/creativecommons/cccatalog-dataviz/commits/master
Contributors: https://github.com/creativecommons/cccatalog-dataviz/graphs/contributors
- Migrated the frontend to a web application using React.js for smooth rendering performance.
- Add client-side graph filtering method to enable users to interact with the loaded graph.
- We realized that the client-side graph filtering method is not very scalable. This PR adds the basic structure for the backend server and adds server-side graph filtering logic.
- Added a parser to convert the input JSON file from
{nodes:[], links:[]}
schema to the distance list format.
- It revamped the design of the frontend.
- Added both primary light theme and secondary dark theme
Add node suggestions feature #35
- Added query autocomplete feature, to enable users to explore all the nodes in the database.
- This functionality aims to minimize the number of misspelt filtering tries from the client.
- Refer to this blog for the motivation and detailed report on why we added autocomplete aka node suggestions feature.
- Optimizes the build-dB-script to run efficiently on the larger and newer dataset of the cc-catalog.
- Added the basic form of the randomized graph filtering method.
- Refer to this blog for a piece of detailed information on data update.
Database upgrade and core enhancements #39
- It upgrades the primary database from shelve to MongoDB for higher performance.
- Dockerizes the frontend and backend for both dev and prod environments for higher application portability.
- Fixes common UI bugs, updates the frontend design and enhances the mobile and smaller devices experience with the linked commons
- Modularizes and updates the code documentation
What’s Next?
Throughout this internship period, we, the Linked Commons team, aimed to make this version the best among all. But there is still scope for improvement.
Just to give you some insights; currently, the complete graph contains 235k nodes and 4.14million links. During the preprocessing, we dropped a lot of the nodes. Additionally, we removed more than 3 million nodes which didn't have cc_licenses information. So, in general, the current version shows only those nodes which are soundly linked with other domains and their licenses information is available. To give a complete picture of the massive "cc-catalog", the linked commons need to "gird up his loins".
After seeing the tremendous potential it has, I will undoubtedly continue working on it and help the linked commons in this quest. ⚡
Ending Note
In the end, I would like to thank my mentors Maria and Brent, for their unconditional guidance throughout this internship period. The insights I got from them will truly help me in the days to come.
Special thanks to Francisco, Anna and Kriti for the awesome brainstorming ideas in the UX meet which helped us build an increment superior version of the Linked Commons.
It is not the end, rather a new beginning. Cheers! 🚀🚀🚀


| PostgreSQL 9.4devel Documentation | ||||
|---|---|---|---|---|
| Prev | Up | Chapter 37. Event Triggers | Next |
Here is a very simple example of an event trigger function written in C. (Examples of triggers written in procedural languages can be found in the documentation of the procedural languages.)
The function noddl
raises an exception each time it is called.
The event trigger definition associated the function with
the ddl_command_start event. The effect is that all DDL
commands (with the exceptions mentioned
in Section 37.1) are prevented from running.
This is the source code of the trigger function:
#include "postgres.h" #include "commands/event_trigger.h" PG_MODULE_MAGIC; Datum noddl(PG_FUNCTION_ARGS); PG_FUNCTION_INFO_V1(noddl); Datum noddl(PG_FUNCTION_ARGS) { EventTriggerData *trigdata; if (!CALLED_AS_EVENT_TRIGGER(fcinfo)) /* internal error */ elog(ERROR, "not fired by event trigger manager"); trigdata = (EventTriggerData *) fcinfo->context; ereport(ERROR, (errcode(ERRCODE_INSUFFICIENT_PRIVILEGE), errmsg("command \"%s\" denied", trigdata->tag))); PG_RETURN_NULL(); }
After you have compiled the source code (see Section 35.9.6), declare the function and the triggers:
CREATE FUNCTION noddl() RETURNS event_trigger AS 'noddl' LANGUAGE C; CREATE EVENT TRIGGER noddl ON ddl_command_start EXECUTE PROCEDURE noddl();
Now you can test the operation of the trigger:
=# \dy List of event triggers Name | Event | Owner | Enabled | Procedure | Tags -------+-------------------+-------+---------+-----------+------ noddl | ddl_command_start | dim | enabled | noddl | (1 row) =# CREATE TABLE foo(id serial); ERROR: command "CREATE TABLE" denied
In this situation, in order to be able to run some DDL commands when you need to do so, you have to either drop the event trigger or disable it. It can be convenient to disable the trigger for only the duration of a transaction:
BEGIN; ALTER EVENT TRIGGER noddl DISABLE; CREATE TABLE foo (id serial); ALTER EVENT TRIGGER noddl ENABLE; COMMIT;
(Recall that DDL commands on event triggers themselves are not affected by event triggers.)


DistanceCalculation
DistanceCalculationException
JourneyPlanning
Network
NetworkFactory
NetworkServiceController
NoShortestRouteFoundException
RailsBaseException
RailsExceptionHandler
Route
ShortestRoute
ShortestRoute.ShortestRouteResult
Station
StationNotExistException
|


These are the keywords that are reserved by the language, i.e. they can't be used by any script defined identifiers. Remember that the host application may reserve additional keywords that are specific to that application.
and |
double |
int |
return |
while |
* Not really a reserved keyword, but is recognized by the compiler as a built-in keyword.
These are the non-alphabetical tokens that are also used in the language syntax.
* |
) |
%= |
~ |
. |
Other than the above tokens there are also numerical, string, identifier, and comment tokens.
123456789 123.123e123 123.123e123f 0x1234FEDC "abc" """heredoc""" _Abc123 // /* */


Optional name of the retention policy for writes. It must be valid for the configured write database
If no retention policy is given, the default retention policy is used


You are King Mozilla of Winderos.
To complete your quest, you need to edit keyquest.js retrieve various magical items from the inhabitants of Winderos. Fortunately, all the inhabitants of Winderos speak HTTP+JSON.
You can see a list of all the available characters at /help
To interact with one of the characters, you need to make an HTTP POST to their endpoint. Some interactions require you to use a magical item, or offer them a piece of treasure.
Here's how you would offer the Talisman of Optimisation to the cleric Baliskov:
POST /cleric HTTP/1.1 { "name" : "Talisman of Optimisation" }
If your encounter is successful, they'll return a 200 OK and include a magical item in JSON format. If your encounter is not successful, they'll return an HTTP error status and your quest is over.
Promise.all([a,b,c])
method to
run some code when you've retrieved all three keys.