Before Change
else:
// Otherwise: find dependees.
all_addresses = yield Get(BuildFileAddresses, Specs((DescendantAddresses(""),)))
all_structs = yield [Get(HydratedStruct, Address, a.to_address()) for a in all_addresses]
all_structs = [s.value for s in all_structs]
bfa = build_configuration.registered_aliases()
graph = _DependentGraph.from_iterable(target_types_from_build_file_aliases(bfa),
address_mapper,
all_structs)
if owners_request.include_dependees == "direct":
yield BuildFileAddresses(tuple(graph.dependents_of_addresses(direct_owners)))
else:
assert owners_request.include_dependees == "transitive"
yield BuildFileAddresses(tuple(graph.transitive_dependents_of_addresses(direct_owners)))
After Change
else:
// Otherwise: find dependees.
all_addresses = await Get(BuildFileAddresses, Specs((DescendantAddresses(""),)))
all_hydrated_structs = await MultiGet(
Get(HydratedStruct, Address, a.to_address()) for a in all_addresses
)
all_structs = [hs.value for hs in all_hydrated_structs]
bfa = build_configuration.registered_aliases()
graph = _DependentGraph.from_iterable(target_types_from_build_file_aliases(bfa),
address_mapper,
all_structs)
if owners_request.include_dependees == "direct":
return BuildFileAddresses(tuple(graph.dependents_of_addresses(direct_owners)))
else:
assert owners_request.include_dependees == "transitive"
return BuildFileAddresses(tuple(graph.transitive_dependents_of_addresses(direct_owners)))
@rule
async def transitive_hydrated_targets(


welcome
As Canada's first & only incorporated student-run volunteer centre, Student Volunteer Connections works to ignite, educate, and foster involvement of University of Guelph students through the world of volunteerism.
SVC strives to promote positive social action for the purpose of building skills, passions, and most of all - community.
We're proud to present the University of Guelph portal to accessing involvement opportunities, resources; and a network of 300 volunteer-based organizations on the University of Guelph campus, in the Guelph community, and beyond.
current events
Join SVC for a day of fun at the Green Legacy Tree Farm, snacks and transportation will be provided. more info »


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ÁVision Build Log
Tool Versions:
IDE-Version: ÁVision V<IP_ADDRESS> Copyright (C) 2016 ARM Ltd and ARM Germany GmbH. All rights reserved. License Information: Pratyush Shukla, Student, LIC=---- Tool Versions: Toolchain: PK51 Prof. Develpers Kit Version: <IP_ADDRESS> Toolchain Path: C:\C51\BIN C Compiler: C51.exe V<IP_ADDRESS> Assembler: A51.exe V<IP_ADDRESS> Linker/Locator: BL51.exe V6.22 Library Manager: LIB51.exe V<IP_ADDRESS> Hex Converter: OH51.exe V<IP_ADDRESS> CPU DLL: S8051.DLL V<IP_ADDRESS> Dialog DLL: DP51.DLL V<IP_ADDRESS>Project:
X:\GITHUB\Analogwrite-functionality-for-any-microcontroller\main_projectfile.uvproj Project File Date: 09/07/2018Output:
Build target 'Target 1' compiling timmer test.c... timmer test.c(61): error C249: 'DATA': SEGMENT TOO LARGE Target not created. Build Time Elapsed: 00:00:00


|
CRay Engine Mini
|
Functions for hierarchical basic affine transformations. More...
Functions | |
| void | CR_pushMatrix (cr_mat4 matrix) |
| Pushes a transformation matrix onto the stack. More... | |
| void | CR_popMatrix () |
| Pops a transformation matrix from the stack. More... | |
| cr_mat4 | CR_rotate (cr_float degrees, cr_vec3 axis) |
| Utility function to generate a rotation matrix along an arbitrary axis. More... | |
| cr_mat4 | CR_translate (cr_vec3 translate) |
| Utility function to generate a translation matrix. More... | |
| cr_mat4 | CR_scale (cr_vec3 scale) |
| Utility function to generate a scale matrix. More... | |
| cr_mat4 | CR_mulMatrix (cr_mat4 matrix1, cr_mat4 matrix2) |
| Utility function to multiply two matrices, M = M1 * M2. More... | |
Functions for hierarchical basic affine transformations.
Utility function to multiply two matrices, M = M1 * M2.
| matrix1 | The first matrix. |
| matrix2 | The second matrix. |
| void CR_popMatrix | ( | ) |
Pops a transformation matrix from the stack.
| void CR_pushMatrix | ( | cr_mat4 | matrix | ) |
Pushes a transformation matrix onto the stack.
| matrix | The matrix to push. |
Utility function to generate a rotation matrix along an arbitrary axis.
| degrees | The angle of rotation, in degrees. |
| axis | The axis of rotation. |
Utility function to generate a scale matrix.
| scale | The scale vector. |


Properties
objects to maintain its
configuration. The Java platform itself uses a Properties
object to maintain its own configuration. The System
class maintains a Properties
object that describes the
configuration of the current working environment. System properties
include information about the current user, the current version of the
Java runtime, and the character used to separate components of a file
path name.
The following table describes some of the most important system properties
| Key | Meaning |
|---|---|
"file.separator" |
Character that separates components of a file path. This is
"/ " on UNIX and "\ " on
Windows. |
"java.class.path" | Path used to find
directories and JAR archives containing class files.
Elements of the class path are separated by a
platform-specific character specified in the
path.separator property. |
"java.home" |
Installation directory for Java Runtime Environment (JRE) |
"java.vendor" |
JRE vendor name |
"java.vendor.url" |
JRE vendor URL |
"java.version" |
JRE version number |
"line.separator" |
Sequence used by operating system to separate lines in text files |
"os.arch" |
Operating system architecture |
"os.name" |
Operating system name |
"os.version" |
Operating system version |
"path.separator" |
Path separator character used in
java.class.path |
"user.dir" |
User working directory |
"user.home" |
User home directory |
"user.name" |
User account name |
System
class has two methods used to read system
properties: getProperty
and getProperties
.
The System
class has two different versions of
getProperty
. Both retrieve the value of the property
named in the argument list. The simpler of the two
getProperty
methods takes a single argument, a property
key
For example, to get the value of
path.separator
, use the following statement:
System.getProperty("path.separator");
getProperty
method returns a string containing
the value of the property. If the property does not exist, this version
of getProperty
returns null.
The other version of getProperty
requires two
String
arguments: the first argument is the key to look
up and the second argument is a default value to return if the key
cannot be found or if it has no value. For example, the following
invocation of getProperty
looks up the
System
property called subliminal.message
.
This is not a valid system property, so instead of returning null,
this method returns the default value provided as a second argument:
"Buy StayPuft Marshmallows!
"
System.getProperty("subliminal.message", "Buy StayPuft Marshmallows!");
The last method provided by the System
class to access
property values is the getProperties
method, which
returns a
Properties
object. This object contains a complete set of system property
definitions.
System.setProperties
. This method takes a
Properties
object that has been initialized to contain
the properties to be set. This method replaces the entire set
of system properties with the new set represented by the
Properties
object.
The next example,
,
creates a PropertiesTest
Properties
object and
initializes it from
myProperties.txt
.
subliminal.message=Buy StayPuft Marshmallows!
PropertiesTest
then uses System.setProperties
to
install the new Properties
objects as the current set of system
properties.
import java.io.FileInputStream; import java.util.Properties; public class PropertiesTest { public static void main(String[] args) throws Exception { // set up new properties object // from file "myProperties.txt" FileInputStream propFile = new FileInputStream( "myProperties.txt"); Properties p = new Properties(System.getProperties()); p.load(propFile); // set the system properties System.setProperties(p); // display new properties System.getProperties().list(System.out); } }
PropertiesTest
creates the Properties
object, p
,
which is used as the argument to setProperties
:
Properties p = new Properties(System.getProperties());
p
, with
the current set of system properties, which in the case of this small
application,
is the set of properties initialized by the runtime system.
Then the application loads additional properties into p
from the
file myProperties.txt
and sets the system properties to p
.
This has the effect of adding the properties listed in myProperties.txt
to the set of properties created by the runtime system at startup.
Note that an application can create p
without any default
Properties
object, like this:
Properties p = new Properties();
Also note that the value of system properties can be overwritten!
For example, if myProperties.txt
contains the following line,
the java.vendor
system property will be overwritten:
java.vendor=Acme Software Company
The setProperties
method changes the set of system
properties for the current running application. These changes are not
persistent. That is, changing the system properties within an application
will not affect future invocations of the Java interpreter for this or
any other application. The runtime system re-initializes the system
properties each time its starts up. If changes to
system properties are to be persistent, then the application must write
the values to some file before exiting and read them in again upon startup.


A glimpse into my life through pictures taken of places i've been and things i've done
Barbados
NOLS
New Zealand
Rugby
Thailand
Guatemala


{% load static %} {% load i18n %}
{{ question.question }}
Hover over metric group names, metric names and metric values for a summary of the information in the official CVSS v3.0 Specification Document. The Specification is available in the list of links on the left, along with a User Guide providing additional scoring guidance, an Examples document of scored vulnerabilities, and notes on using this calculator (including its design and an XML representation for CVSS v3.0).
Select values for all base metrics to generate score
Vector String - select values for all base metrics to generate a vector


The @salesforce/core library provides client-side management of Salesforce DX projects, org authentication, connections to Salesforce APIs, and other utilities. Much of the core functionality that powers the Salesforcedx plug-ins comes from this library. You can use this functionality in your plug-ins, too.
See the API documentation.
If you are interested in contributing, please take a look at the CONTRIBUTING guide.
SfdxCommand
.The Salesforce DX Core Library provides a unit testing utility to help with mocking and sand-boxing core components. This feature allows unit tests to execute without needing to make API calls to salesforce.com.
Here you can mock authorization for a Salesforce scratch org.
import { strictEqual } from 'assert';
import { MockTestOrgData, testSetup } from '@salesforce/core/lib/testSetup';
import { AuthInfo } from '@salesforce/core';
const $$ = testSetup();
describe('Mocking Auth data', () => {
it('example', async () => {
const testData = new MockTestOrgData();
$$.setConfigStubContents('AuthInfoConfig', {
contents: await testData.getConfig()
});
const auth: AuthInfo = await AuthInfo.create(testData.username);
strictEqual(auth.getUsername(), testData.username);
});
});
After having a valid AuthInfo object you can then create fake connections to a Salesforce.com scratch org. This allows for writing tests that can validate result responses for SOQL queries and REST endpoints.
import { AuthInfo, Connection, SfdxError } from '@salesforce/core';
import { MockTestOrgData, testSetup } from '@salesforce/core/lib/testSetup';
import { AnyJson, ensureJsonMap, JsonMap } from '@salesforce/ts-types';
import { ensureString } from '@salesforce/ts-types';
import { deepStrictEqual } from 'assert';
import { QueryResult } from 'jsforce';
const $$ = testSetup();
describe('Mocking a force server call', () => {
it('example', async () => {
const records: AnyJson = { records: ['123456', '234567'] };
const testData = new MockTestOrgData();
$$.setConfigStubContents('AuthInfoConfig', {
contents: await testData.getConfig()
});
$$.fakeConnectionRequest = (request: AnyJson): Promise<AnyJson> => {
const _request: JsonMap = ensureJsonMap(request);
if (request && ensureString(_request.url).includes('Account')) {
return Promise.resolve(records);
} else {
return Promise.reject(new SfdxError(`Unexpected request: ${_request.url}`));
}
};
const connection: Connection = await Connection.create(await AuthInfo.create(testData.username));
const result: QueryResult<{}> = await connection.query('select Id From Account');
deepStrictEqual(result, records);
});
});
sfdx-core uses Sinon as its underlying mocking system. If you're unfamiliar with Sinon and it's sandboxing concept you can find more information here:
https://sinonjs.org/
Sinon stub
s and spy
s must be cleaned up after test invocations. To ease the use of Sinon with sfdx core we've exposed our sandbox in TestSetup. After adding your own stub
s and/or spy
s they will automatically be cleaned up after each test using mocha's afterEach method.
import { strictEqual } from 'assert';
import { testSetup } from '@salesforce/core/lib/testSetup';
import * as os from 'os';
const $$ = testSetup();
describe('Using the built in Sinon sandbox.', () => {
it('example', async () => {
const unsupportedOS = 'LEO';
$$.SANDBOX.stub(os, 'platform').returns(unsupportedOS);
strictEqual(os.platform(), unsupportedOS);
});
});
It's important to have negative tests that ensure proper error handling. With shouldThrow
it's easy to test for expected async rejections.
import { SfdxError } from '@salesforce/core';
import { shouldThrow } from '@salesforce/core/lib/testSetup';
import { strictEqual } from 'assert';
class TestObject {
public static async method() {
throw new SfdxError('Error', 'ExpectedError');
}
}
describe('Testing for expected errors', () => {
it('example', async () => {
try {
await shouldThrow(TestObject.method());
} catch (e) {
strictEqual(e.name, 'ExpectedError');
}
});
});
It's also useful to check expected values and content from log lines. TestSetup configures the sfdx-core logger to use an in memory LogLine storage structure. These can be easily accessed from tests.
import { Logger, LogLine } from '@salesforce/core';
import { testSetup } from '@salesforce/core/lib/testSetup';
import { strictEqual } from 'assert';
const $$ = testSetup();
const TEST_STRING = 'foo was here';
class TestObject {
constructor(private logger: Logger) {
this.logger = logger.child('TestObject');
}
public method() {
this.logger.error(TEST_STRING);
}
}
describe('Testing log lines', () => {
it('example', async () => {
const obj: TestObject = new TestObject($$.TEST_LOGGER);
obj.method();
const records: LogLine[] = $$.TEST_LOGGER.getBufferedRecords();
strictEqual(records.length, 1);
strictEqual(records[0].msg, TEST_STRING);
});
});


{% extends "base.html" %} {% block content %}
| Name | Position | Age | Rating |
|---|---|---|---|
| {{ player.last_name }}, {{ player.first_name }} | {{ player.position }} | {{ age }} | {{ rating }} |
No players on this team.
{% endif %}| Week | Opponent | Outcome |
|---|---|---|
| {{ week }} | {{ game.opponent }} | {{ game.outcome }} |
No players on this team.
{% endif %}


MaixCube
Overview
SIPEED MaixCube is a face recognition product developed based on our M1n module (main control: Kendryte K210) that integrates learning, development and commercial use.
MaixCube integrates camera, TF card slot, user buttons, TFT display, lithium battery, speaker microphone, expansion interface, etc. Users can use Maix Cube to easily build a face recognition access control system, and also reserve development and debugging Interface, it can also be used as a powerful AI learning development board.
MaixCube appearance and function introduction
Appearance list
-1.3 inch IPS screen: resolution* 240240*
-Reset button
-Power button: short press to turn on, long press *8S to turn off
-Grove interface: Grove digital interface, sensor, controller expansion possibilities~
-SP-MOD interface: equipped with a more powerful and scalable SP-MOD digital interface, I2C, SPI (standard, two-wire, four-wire mode) and other interfaces can be used
-TF card slot: multimedia resource expansion, support large capacity storage
-Camera: equipped with 0V7740 30W pixels Sensor
-Type-C interface:
-Three-way button:
Introduction to onboard functions
-Power management control unit: AXP173
-Onboard 200mAh lithium battery, support user charge and discharge control
-Audio driver IC: ES8374
-Support audio recording and playback
-Three-axis acceleration sensor: MSA301
-Camera OV7740:
-1.3 IPS LCD:
-RGB: Two RGB LEDs on board
-USB Type-C: Type-C interface, positive and negative blind plug
Onboard expansion interface
Maix Cube opens two highly expanded interfaces to users: SP-MOD and Grove interfaces,
Users can easily DIY
SP-MOD interface
SP-MOD is sipeed module, simplify PMOD, super module
| Interface | Interface description |
|---|---|
| SP-MODE interface description | |
| Hardware Interface |
Grove interface
-Grove module interface
The Grove interface cable has 4 colors, users can quickly distinguish according to the color
| --- | Color | Description |
|---|---|---|
| pin 1 | Yellow | (e.g. SCL on I2C Grove Connectors) |
| pin 2 | White | (For example, SDA on I2C Grove Connectors) |
| pin 3 | Red | VCC (All Grove ports are VCC in red) |
| pin 4 | black | GND (all Grove ports are GND in red) |
Grove module mainly has 4 kinds of interfaces:
- Grove Digital digital interface:
The Grove digital interface consists of four standard wires of Grove plugs.
The two signal lines are usually called D0 and D1.
Most modules only use D0, but some (like LED Bar Grove displays) use both. Usually the core board will call the first Grove connector on the board as D0, and the second as D1. The connector will be connected to the DO/D1 pin of the main control chip, the second connector will be connected to the D1/D2 pin of the main control chip, and the following connectors will be deduced by analogy.
| pin | Function | Note |
|---|---|---|
| pin1 | Dn First digital input | |
| pin2 | Dn+1 Second digital input | |
| pin3 | VCC power supply pin 5V/3.3V | |
| pin4 | GND ground |
- Grove UART :
The Grove UART is a special digital input and output interface.
It uses pins 1 and 2 for serial input and transmission.
Pin 1 is the RX line (used to receive data, so it is input),
Among them, pin 2 is the TX line (used to transmit data to the Grove module).
| pin | Function | Note |
|---|---|---|
| pin1 | RX | Serial Receive |
| pin2 | TX | Serial transmission |
| pin3 | VCC | Power supply pin 5V/3.3V |
| pin4 | GND | Ground |
Grove I2C:
There are many types of I2C Grove sensors available.
The Grove on MaixCube only supports 3.3V sensorsThe Grove I2C connector has a standard layout. Pin 1 is the SCL signal, and pin 2 is the SDA signal
| pin | Function | Note |
|---|---|---|
| pin1 | SCL | I2C clock |
| pin2 | SDA | I2C data |
| pin3 | VCC | Power supply pin, 5V/3.3V |
| pin4 | GND | Ground |
Onboard I2C device
MaixCube onboard I2C sensor/IC
| IC | Device id | I2C address (7-bit address) | Configuration: SCL: IO_30, SDA: IO_31 |
|---|---|---|---|
| --- | I2C Address | <<1 | MaixPy read address |
| ES8374 | 0x08 | 0x10 | D(16) |
| MSA301 | 0x13 | 0x26 | D(38) |
| AXP173 | 0x68 | 0x34 | D(52) |


Go to the Github page and download the simpleslider.js file. Don't forget to download the touchswipe.js and transit.js if you're going for a complete (and still simple) slider.
Now you have the files you can include them in your header.
Go to the Github page and download the simpleslider.js file. Don't forget to download the touchswipe.js and transit.js if you're going for a complete (and still simple) slider.
Now you have the files you can include them in your header.
Now it's time to bind the simpleslider on your HTML element. Check the Github README for an example HTML.
SimpleSlider will now do the rest. Are you looking for more options? Check the Github readme!
SimpleSlider standard comes with a few methods, triggers and a tracker. These are all easy to configure. More information about them can be found on the Github page
Btw, this site has been made using simpleslider!


Id: 34
Name: Earth (Evil Rick's Target Dimension)
Type: Planet
Dimension: Evil Rick's Target Dimension
Residents: ['https://rickandmortyapi.com/api/character/39', 'https://rickandmortyapi.com/api/character/177', 'https://rickandmortyapi.com/api/character/232', 'https://rickandmortyapi.com/api/character/290', 'https://rickandmortyapi.com/api/character/339']
Url: https://rickandmortyapi.com/api/location/34
Created: 2017-12-26T15:35:20.499Z


{{Infobox prepared food | name = Harira | image = | caption = Moroccan harira from Oran. | alternate_name = | country = Algeria and Morocco <ref>http://www.intrepidtravel.com/adventures/moroccan-soup-recipe/</ref> | region = | creator = | course = | type = Soup | served = | main_ingredient = Flour, tomatoes, lentils, chickpeas, onions, rice, meat (beef, lamb, or chicken), olive oil | variations = | calories = | other = }}
Harira is the traditional soup of Algeria and Morocco.<ref>http://www.riad-monceau.com/about-moroccan-food</ref> <ref>http://www.intrepidtravel.com/adventures/moroccan-soup-recipe/</ref> <ref>http://shahiya.com/english/recipes/traditional-harira-soup-268</ref> It is popular as a starter but is also eaten on its own as a light snack.
Contents |
Harira's base-recipe is composed of the following ingredients, and may vary depending on regions:
Lemon juice can also be added at serving time as well as salt and turmeric.
It is usually served with hard-boiled eggs sprinkled with salt and cumin, dates and other favorite dried fruits like figs, traditional honey sweets and other home-made special breads or crepes. It is served with slices of lemon in Algeria.
{{Reflist}}
{{African cuisine}}
{{Arab-cuisine-stub}}


Computing has become a necessary tool in nearly every area of human endeavor — critical to our workplace production, to our communication, and a means to play and to express ourselves artistically.
| Faculty Names | Pictures |
|---|---|
| Thomas Allen | |
| Michael K. Bradshaw | |
| David M. Toth |


Models¶
In Slycat™, models combine analysis and visualization. Slycat™ provides three different types of models: Canonical Correlation Analysis (CCA), Parameter Space, and Time Series. The heart of every model is a data table. For each model type, there are predefined sets of linked views that provide different representations of the analysis results. Generally, the visualization for each model consists of three different representations, each showing the ensemble at a different level of abstraction. The highest-level view seeks to display the ensemble in a holistic manner. It seeks to show what high-level behaviors or trends can be seen across most, if not all, of the simulation runs. Slycat™ currently provides views showing correlations between inputs and outputs, or similarities between results. The intermediate-level view presents individually distinguishable runs in the context of the group, showing how well each member aligns with the high-level view of shared ensemble traits. The low-level view enables you to drill down to the raw data values, both to input parameters and to the results from individual runs.
Each model has a Name, a Marking, and an optional Description. Marking choices are defined as part of the server configuration, so they are specific to the institution that hosts the server. The intent is for Slycat™ to facilitate clear labeling of data sensitivity through explicit choice of marking. The marking appears as part of the model description on the Project page list, plus it is shown in both header and footer bars when visualizing the model.
Creating Models¶
Models are created by clicking the green Create button from within a project page and selecting one of the model types from the dropdown list. The information needed to create a model varies depending on which model you choose, so a popup dialog specific to the selected model will step you through entering the necessary information for that type (the details for each are covered below). Model creation can be aborted at any stage by clicking the X button in the upper right corner of the popup.
Editing Models¶
Clicking on the yellow Edit button on a model page and selecting Name Model from the dropdown list allows you to change the model Name, Description, and Marking. A Name Model dialog will popup with the current model information. Click Save Changes to modify the model description on the server, or click the X button in the upper right of the popup to abort the operation.
Reset Model¶
As you interact with a model and change various aspects of the visualization, Slycat™ keeps track of the current model state. If you leave that model and return to it later, Slycat™ will resume with the model rendered according to the most recent configuration state. Note that this is only true if you are returning to a model on the same computer using the same browser that you previously used to view it. However, sometimes you might want to start over with the default settings to produce the initial visualization. Clicking on the yellow Edit button on a model page and selecting Reset Model from dropdown list will return the model state to its initial configuration.
Deleting Models¶
To remove a model and ALL ITS DATA, click the red Delete button from within the model page of the model that you wish to delete. Select Delete Model from the dropdown. Model deletion is an irreversible operation, so deletion requires confirmation through a popup asking if you really want to delete that model. Press the red Delete Model button to confirm deletion, or click the X button in the upper right of the popup to abort the operation and keep the model.
View Regions¶
The inner part of each model’s visualization is subdivided into several views or regions, each separated from adjacent regions by a thick gray line. As you move the mouse over one of these region dividers, a double-headed arrow cursor perpendicular to the divider replaces the normal arrow cursor, the line extent (all but a darker gray center section) highlights in yellow, and the tooltip Resize pops up. If you click and drag the divider while this is enabled, the divider will move until you release it, resizing the regions on either side to reflect proportional changes created by the new divider location. The divider can be dragged to the very edge, effectively hiding the view.
Alternately, if you move the mouse over the darker center section of a divider, the center section highlights in yellow, the icon become a hand with a pointing finger, and the tooltip Close appears. Clicking the mouse button now will collapse one of the two adjacent regions. It collapses the region that is closer to the edge of the browser window. Clicking a second time on that same divider (now positioned along the edge of the model visualization) will restore the previous layout.
Download Data Table ¶
Since data tables are at the core of each model type, all models provide a table download operation. The download can take one of several forms: download the entire table, download only selected items, or download only visible items. As will be described later (see Selecting Points and Filtering), selection and filtering can be used to divide the data into sets using two approaches, either through highlighting or through visibility. Highlighting and visibility are independently defined sets, so selected items are not necessarily visible.
This functionality can be used to download a table or a table subset to your desktop, which can then be used to generate a new model. For example, if you had an ensemble where some of the runs failed to terminate properly, you could filter those runs out and download the subset of runs that finished correctly. Then you could use that subset to generate new models where the failed runs are not biasing the analysis results. Or alternately, you could download the subset that failed and use that table to create a Parameter Space model to explore what the failures have in common.
Color Themes¶
Color is used extensively in Slycat™ to encode information of various types. In the table views that appear within each model, green columns are associated with input variables, lavender designates output variables, and unspecified variables are not colored (they are rendered using an off-white).
Slycat™ provides a set of predefined color themes, which are individually assigned to each model. A color theme consists of a bundled scatterplot background color and color palette for mapping numeric values to color-coded objects in Slycat™ views. Below the Navbar on the model page, there is an additional row of model-specific buttons. To change the current color theme, click the Colors button. As shown in Figure 9, there are four color themes available in the dropdown: Night, Day, Rainbow Night, and Rainbow Day. Night is the default choice. Night has a gray background and uses a diverging palette that maps low values to blue and high values to red, transitioning through white for values in the middle of the range [1]. Day has a white background and a similar blue to red mapping, though the palette is slightly shifted to transition through gray instead of white to enable you to distinguish points in the middle of the range from the background. Rainbow Night has a gray background and a conventional rainbow palette. Rainbow Day has a white background and a conventional rainbow palette. Although we provide Rainbow themes, we discourage their use since color order in the middle of the range is not intuitive.
Footnotes
| [1] | Moreland, K., Diverging Color Maps for Scientific Visualization. Advances in Visual Computing, vol. 5876, pp. 92-103. Springer, Berlin (2009). |


{# Nunjucks Templating! Homepage: https://mozilla.github.io/nunjucks/ Docs: https://mozilla.github.io/nunjucks/api.html #} {% extends 'layouts/application.html' %} {% block content %}
This index.html page is a placeholder with the CSS, font and favicon. It's just waiting for you to add some content! If you need some help hit up the Skeleton documentation.


Guidance
Contact details for colleges and training providers with contracts to provide training and support through the European Social Fund (ESF).
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We award contracts to training providers to deliver training and support through ESF, instead of making annual allocations (like we do for the Adult Skills Budget). We award these contracts to providers that are successful in an open and competitive tendering procurement exercise. The contracts are valid for a specific length of time, normally more than one year.
These lists supplement our funding allocations for providers .
Published: 21 March 2014
Updated: 12 May 2015


{% extends "layout.html" %} {% load staticfiles %} {% load static markup_tags %} {% block title %}Programmes{% endblock %} {% block page-content %}
A programme is a collection of surveys with specific research questions, administered by a collection of community partners and typically sharing common funding sources. It can have one or many cycles (frequency) and each cycle has a set of results for each survey instrument


| 2019/11/13 |
National Institute of Informatics (NII), Informal Workshop on Argumentation/Argument Mining |
| |
A lightweight tool for annotating relations in argument mining and analysis on inter-annotator agreement metrics |
| 2018/11/14 |
National Institute of Informatics (NII), Informal Workshop on Argumentation/Argument Mining |
| |
Annotating Argumentative Relations for Mining Coherence Patterns |
| 2018/08/31 |
Universitas Pendidikan Ganesha (Ganesha University of Education) |
| |
Introduction to Statistical Natural Language Processing |
| 2018/06/19 |
Tohoku University (Inui Lab - NLP) |
| |
Improving Text Coherence Considering Sentence Dependencies and Ordering |


- Firefox
-
A free, open source, cross-platform,
graphical web browser developed by the
Mozilla Corporation and hundreds of
volunteers.
-
The Red Panda also known as the Lesser
Panda, Wah, Bear Cat or Firefox, is a
mostly herbivorous mammal, slightly larger
than a domestic cat (60 cm long).


Our privacy policy is simple: We (flexfeedback.com) don't track you and we don't collect any data. There is no database to store data, so we don't have a way of collecting anything. If you navigate away from the site, you may go to a new site that does collect data.


--- title: "Neutral Colors" type: colors scss: src/src/assets/stylesheets/_variables.scss usage: "Base set used to mix tints and tones." ---
$gray
$white
$black


‘Access The Stars’ kicks off in Abeokuta - The Nation Newspaper
By Eke Praise
The music talent hunt television reality show, ‘Access The Stars’, has officially kicked off with auditions in Abeokuta, Ogun State on Monday.
Hosted by Dare Art Alade with Olive Emodi as co-host, ‘Access The Stars’ will air on Hip TV, Africa Magic, Views channel and Accelerate TV.
The show will showcase a number of budding talents across Nigeria who will be selected by celebrity judges and will grace the stage with a line-up of some of the best artists in the Nigerian music industry. The move is aimed at giving a chance to burgeoning music stars to learn from their celebrity role models and get access to shine more.
They will showcase their talents to a global audience as they go on tour with the A-list stars on ‘The Trek’. The roadshow started on Monday in Abeokuta and it will hit major cities including Lagos, Onitsha, Owerri, Calabar, and Abuja.
The show is a fusion between Access Bank Plc. and the Nigerian Breweries’ Star Lager Beer .
Read Also: ‘Most music legends are not versatile’ – Singer, Simi
Speaking on the drive behind the initiative, Sarah Agha, Portfolio Manager, National Premium Brands, NB Plc. said; “Access Bank and Nigerian Breweries have the shared interest of serving Nigerian’s, and through this partnership, we are harnessing our collective strengths to shape an exciting future. Via this collaboration, we will give hidden gems the access to shine more by discovering, polishing and showcasing them to Nigerians, Africans, and the world.”
According to Herbert Wigwe, Access Bank MD/CEO, the show is borne out of the desire of both brands to continue to connect with people through music.
“Both our brands share a long history of creating excellent musical experiences for not just own customers, but the wider Nigerian audience and this is us expanding on that,’’ he said.


Meet Your Mappers
Discover mappers near you!
Mappers in action with ICMS and Kathmandu Living Labs in Nepal,
source
{% block content %}{% endblock %}


|
Gephi Toolkit Javadoc | ||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
public interface FilterLibrary
The Filter Library is the place where filter builders are registered and ready to be used. It also has default Categories that filters use to be sorted and well-described.
Modules can dynamically create new filter builders and serve it ot users
by using addBuilder(org.gephi.filters.spi.FilterBuilder)
.
| Field Summary | |
|---|---|
static Category |
ATTRIBUTES
Default Category for attributes filters. |
static Category |
EDGE
Default Category for filters working on edges only. |
static Category |
HIERARCHY
Default Category for filters working on the graph hierarchy. |
static Category |
TOPOLOGY
Default Category for topological filters. |
| Method Summary | |
|---|---|
void |
addBuilder(FilterBuilder builder)
Adds builder to this library. |
void |
deleteQuery(Query query)
Delete a saved query from the library. |
FilterBuilder |
getBuilder(Filter filter)
Returns the builder that has created filter . |
org.openide.util.Lookup |
getLookup()
Returns this library's lookup. |
void |
registerMask(FilterLibraryMask mask)
Registers mask as a new FilterLibraryMask . |
void |
removeBuilder(FilterBuilder builder)
Removes builder from this library. |
void |
saveQuery(Query query)
Save query in the library in order it can be reused. |
void |
unregisterMask(FilterLibraryMask mask)
Unregisters mask in the library. |
| Field Detail |
|---|
static final Category TOPOLOGY
Category
for topological filters. Use this category
for filters working on graph topology, i.e. the structure of nodes and
edges.
static final Category ATTRIBUTES
Category
for attributes filters. Use this category
for filters working on attribute values.
static final Category HIERARCHY
Category
for filters working on the graph hierarchy.
static final Category EDGE
Category
for filters working on edges only.
| Method Detail |
|---|
void addBuilder(FilterBuilder builder)
builder
to this library.
builder
- the builder that is to be addedvoid removeBuilder(FilterBuilder builder)
builder
from this library.
builder
- the builder that is to be removedorg.openide.util.Lookup getLookup()
FilterBuilder
: Builders, these are building filters.CategoryBuilder
: Category builders, these are building.
categories, i.e. filters containers.FilterLibraryMask
: Masks, for enable/disable categories according
to the context.Query
: Saved queries, look at FilterController
for
active queries.FilterBuilder
in the library can be obtained
by doing the following command:
FilterLibrary.getLookup().lookupAll(FilterBuilder.class);
getLookup
in interface org.openide.util.Lookup.Provider
void registerMask(FilterLibraryMask mask)
mask
as a new FilterLibraryMask
. Such
masks have categories enable/disable flag. Useful to disable for instance
filters for undirected graphs when the current graph is directed.
mask
- the mask that is to be registeredvoid unregisterMask(FilterLibraryMask mask)
mask
in the library. The mask will no longer be
used.
mask
- the mask that is to be unregisteredFilterBuilder getBuilder(Filter filter)
filter
.
filter
- the filter that the builder is to be returned
filter
void saveQuery(Query query)
query
in the library in order it can be reused. Saved
queries are saved to the project.
query
- the query that is to be savedvoid deleteQuery(Query query)
query
from the library. Deleted
queries are deleted from the project.
query
- the query that is to be deleted
|
Gephi Toolkit Javadoc | ||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


TECH
BULLETIN
Home
Apple
Microsoft
Google
Others
Apple Event
Here is the full coverage on apple event that held on September 2015
Apple TV upgraded
Most awaited Apple Watch
IOS9 to be released
The new iPad Pro
More on iPhone
Introducing the pencil
iPhones in different colour variants
The apple upgrade program


At vero eos et accusamus et iusto odio dignissimos ducimus qui blanditiis praesentium voluptatum deleniti atque corrupti quos dolores et quas molestias excepturi sint occaecati cupiditate non provident, similique sunt in culpa qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio.
At vero eos et accusamus et iusto odio dignissimos ducimus qui blanditiis praesentium voluptatum deleniti atque corrupti quos dolores et quas molestias excepturi sint occaecati cupiditate non provident, similique sunt in culpa qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio.
At vero eos et accusamus et iusto odio dignissimos ducimus qui blanditiis praesentium voluptatum deleniti atque corrupti quos dolores et quas molestias excepturi sint occaecati cupiditate non provident, similique sunt in culpa qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio.
When choosing a scene to put on paper we generally follow some basic rules before actually putting pencil to paper. The Rule of Thirds is a great starting point for begenners to compose a scene, and it applies to both horizontal and vertical layouts. The rule of thirds states that if you divide any composition into thirds, vertically and horizontally, then place the key elements of your image either along these lines or at the junctions of them, you'll achieve a more pleasing arrangement and more interesting and dynamic compositions.
Properly translating a scene from the three dimensional world onto flat piece of paper is the most challenging part of drawing. It disocurages even the most tenacious student. Don't feel bad when starting out if you struggle to make this jump artists were not able to accomplish this task until the mid 1300's. It is not easy. To sum up the concept, it is a practive in creating an optical illusion. In the exercises section you will find it helpful to repeat the section of drawing simple boxes of the same size at different distances from each other.
The two most characteristic features of perspective are that objects are smaller as their distance from the observer increases; and that they are subject to foreshortening, meaning that an object's dimensions along the line of sight are shorter than its dimensions across the line of sight. See the diagram below for a visual reference.
Giving your compositon form and and the feeling of body requires an uderstanding of light and the range or shades of light and dark values it produces on an object. There are a wide range of ways to mimic these values in your piece or art. Some of the more commonly used techniques are explained below.
Shading is the technique of varying the tonal values on the paper to represent the shade of the material as well as the placement of the shadows. Careful attention to reflected light, shadows and highlights can result in a very realistic rendition of the image.
Blending uses an implement to soften or spread the original drawing strokes. Blending is most easily done with a medium that does not immediately fix itself, such as graphite, chalk, or charcoal, although freshly applied ink can be smudged, wet or dry, for some effects. For shading and blending, the artist can use a blending stump, tissue, a kneaded eraser, a fingertip, or any combination of them. A piece of chamois is useful for creating smooth textures, and for removing material to lighten the tone. Continuous tone can be achieved with graphite on a smooth surface without blending, but the technique is laborious, involving small circular or oval strokes with a somewhat blunt point.
Shading techniques that also introduce texture to the drawing include hatching and stippling. A number of other methods produce texture. In addition to the choice of paper, drawing material and technique affect texture. Texture can be made to appear more realistic when it is drawn next to a contrasting texture; a coarse texture is more obvious when placed next to a smoothly blended area. A similar effect can be achieved by drawing different tones close together. A light edge next to a dark background stands out to the eye, and almost appears to float above the surface.


The Editor {_screen} is fairly complicated, because the Digital Chroma sound architecture has many more {_parameter parameters} than can reasonably be displayed all at once on a single screen. Instead, parameters are grouped into "{_cluster clusters}".
Most of the {_button buttons} on the main Editor screen are "cluster buttons", and {_tap tapping} any of these buttons displays a {_popup} showing all the parameters in the cluster. The cluster button may contain a simple italicized label, like tone, or may show the (non-italicized) value of the most important {_selector_parameter} in the cluster. If the cluster button has a {_slider} next to it, the slider controls the most important {_variable_parameter} in the cluster. These sliders are the parameters that you will most commonly be adjusting back and forth when programming the Digital Chroma, which is why they are on the main screen.
When a popup is displayed, the main screen is dimmed, indicating its controls are temporarily inaccessible. The popup can be dismissed by tapping the dimmed area, or the popup's title. It is also possible to {_drag} a popup away from the center of the screen by its title, which removes the dimming from the main screen. In this state, you can manipulate the popup controls and the main screen controls; you can even open more popups and move them to different places on the screen. This can be useful if you need to tweak secondary parameters back and forth. The popups can still be dismissed by tapping their titles.
You can also dismiss all popups with the "Escape" key.
Within cluster popups, selector parameters are shown as arrays of buttons for each possible value, with the current choice highlighted. This means it only takes three taps to change a selector value: one to display the popup, one to change the value, and one to dismiss the popup.
You'll notice that some controls are white and others are gray. Controls are gray if they are not currently affecting the sound. For instance, if a modulation depth is zero, its slider and cluster button are both gray. As soon as the depth is set to a nonzero value, they turn white, unless what they are modulating isn't actually participating in the sound generation. For instance, if an {_envelope} isn't used anywhere in the program, it doesn't matter what you set its parameters to; the controls will always be gray.
Every parameter has a {_default_value}, which is the value it has in a "{_scratch_program scratch}" sound (the sound of a non-existent program). You can reset a slider to its default value by {_long-press long-pressing} it. You can reset a selector parameter to its default value by long-pressing any of its value buttons. And you can reset an entire cluster to its default values by long-pressing the cluster button.
A few sliders also have a "significant" value, which is a commonly used non-default value. This can be set quickly by tapping the slider. For instance, you can set a pulse width to 50% this way, or to 0% by long-pressing it. Sliders that don't have significant values ignore a tap.
You can copy all the values from one cluster into another of the same type by dragging its cluster button and dropping it on the other cluster button. You can also swap two clusters of the same type by {_long-drag long-dragging} one onto the other. When you do this, the first cluster is initially reset to its default values, but the previous values are what get dragged to and swapped with the second cluster.
The screen is divided into sections. The COMMON section contains parameters that don't pertain directly to the actual sound generation, like the {_link_program link} parameters. The CONTROL section contains overall sound parameters. The remaining sections on the left are {_control_signal} generators, two in each section, and they can be freely assigned to any modulation inputs. The sections on the right side of the screen are pairs of sound generation and processing modules, which can be interconnected in various ways according to the {_patch} parameter. The sections are:
You can also see the above help pages by tapping the {question.png height=16} button in the corners of the sections.
In an architecture as versatile as the Digital Chroma's, one often wonders where some control signal generator is actually used. The Editor screen makes it easy to find out. If you tap the title of any of the control signal generators on the left side of the screen (i.e., GLIDE A, GLIDE B, SWEEP A, etc.), other cluster buttons will turn bright red if those control signals have any effect on those clusters.
The small buttons just below the Editor title let you do the same thing for the {_performance_control} inputs.
You can dismiss all popups with the "Escape" key.
You can increment and decrement a parameter (or a ganged pair) using the Left and Right cursor keys. These are always connected to whatever parameter was last modified via a button or slider in the Toolkit.


Your access_token
has an expiry date of: {{ expiresAt | date:'medium' }}
The token has been scheduled for renewal, but you can also renew it manually from the navbar if you don't want to wait. This manual renewal button is really just for demonstration and you probably won't want such a control in your actual application.


Demo: Various Client-side and Server-side Methods for Obtaining Cross Origin Data from NPR
by Diane Zevenbergen<EMAIL_ADDRESS>NPR News & Information
Select an option:
» View listing
For:
All topics
All music genres
All programs
Format:
XML
JSON
Method:
GET
POST
Listings are requested by client
» Read news stories
Topic:
Afghanistan
Book Reviews
Economy
Education
Elections
Energy
Environment
Europe
Fitness and Nutrition
Health Care
Interviews
Israeli-Palestinian Coverage
Middle East
National Security
NPR News Investigations
On Aging
Politics: Fact Check
Science
Technology
Political demographics
World Story of the Day
Method:
GET using data attribute
GET using query argument
POST using query string
This Node.js feature is not yet live.
See code and documentation on
Github
Results
Support


This library is provided "as-is" and no support is provided.
Copyright © 2018 Field R&D Services, LLC. All rights reserved.
Labstache is licensed under the MIT license.
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


Show the hidden events >>>


Flight No.
Date and Time
Plane
Route
Destination
{% for flight in flights %}
{{ flight['id'] }}
{{ formatDate(flight['date']) }}
{{ flight['plane'] }}
{{ flight['origin'] }}-{{ flight['destination'] }}
{% endfor %}


EMAC_Common_Config. More...
#include <csl_emac.h>
Data Fields | |
| Uint8 | UseMdio |
| Uint32 | ModeFlags |
| Uint32 | MdioModeFlags |
| Uint32 | MdioPhyAddr |
| Uint8 | CoreNum |
| Uint32 | PktMTU |
EMAC_Common_Config.
The EMAC_Common_Config structure defines configurations common to all the cors when the EMAC device is operating. It is passed to the device when the device is initialized one time by the master core (EMAC_commonInit()), and remains in effect until the device is de-initialized by the master core (EMAC_commonDeInit()).
The following is a short description of the configuration fields:
UseMdio - Uses MDIO configuration if required. In case of SGMII MAC to MAC communication MDIO is not required. If this field is one (1) configures MDIO zero (0) does not configure MDIO
ModeFlags - Specify the Fixed Operating Mode of the Device:
MdioModeFlags - Specify the MDIO/PHY Operation (See csl_MDIO.H)
CoreNum - Specify the master core which does common initialization and de-initialization
PktMTU - Specify the maximal physical packet size


Projects Waiting to Be Quoted
Client Name
Wall Name
Date Created
Quote
Quote
Projects Waiting on an Artist Match
Client Name
Project Name
Date Created
Match
Match
All Walls
Client Name
Project Name
Date Created
View Details
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No Walls yet, why don't you
create one
?


{% extends "example_base.html" %} {% block content %} Subscription "{{ subscription }}" created Back to purchase page {% endblock %}}


Home
Hitchcock
Shulman
Guess which films Hitchock made in American, and which in England.
Show/hide the answers
Dial M for Murder
The Lady Vanishes
The 39 Steps
Spellbound
Rebecca
Notorious


What item is at the front of the deque after these statements are executed?
DequeInterface waitingLine = new LinkedDeque(); waitingLine.addToFront(“Jack”); waitingLine.addToFront(“Rudy”); waitingLine.addToBack(“Larry”); waitingLine.addToBack(“Sam”); String name = waitingLine.getFront();
There are no hints for this question


Containers for storing coercion data#
This module provides TripleDict
and MonoDict
. These are
structures similar to WeakKeyDictionary
in Python’s weakref
module, and are optimized for lookup speed. The keys for TripleDict
consist of triples (k1,k2,k3) and are looked up by identity rather than
equality. The keys are stored by weakrefs if possible. If any one of the
components k1, k2, k3 gets garbage collected, then the entry is removed from
the TripleDict
.
Key components that do not allow for weakrefs are stored via a normal
refcounted reference. That means that any entry stored using a triple
(k1,k2,k3) so that none of the k1,k2,k3 allows a weak reference behaves
as an entry in a normal dictionary: Its existence in TripleDict
prevents it from being garbage collected.
That container currently is used to store coercion and conversion maps between
two parents (github issue #715) and to store homsets of pairs of objects of a
category (github issue #11521). In both cases, it is essential that the parent
structures remain garbage collectable, it is essential that the data access is
faster than with a usual WeakKeyDictionary
, and we enforce
the “unique parent condition” in Sage (parent structures should be identical
if they are equal).
MonoDict
behaves similarly, but it takes a single item as a key. It
is used for caching the parents which allow a coercion map into a fixed other
parent (github issue #12313).
By github issue #14159, MonoDict
and TripleDict
can be optionally
used with weak references on the values.
Note that this kind of dictionary is also used for caching actions and coerce maps. In previous versions of Sage, the cache was by strong references and resulted in a memory leak in the following example. However, this leak was fixed by github issue #715, using weak references:
sage: K.<t> = GF(2^55) # optional - sage.rings.finite_rings sage.combinat
sage: for i in range(50): # optional - sage.rings.finite_rings sage.combinat
....: a = K.random_element()
....: E = EllipticCurve(j=a)
....: P = E.random_point()
....: Q = 2*P
sage: L = [Partitions(n) for n in range(200)] # purge strong cache in CachedRepresentation # optional - sage.rings.finite_rings sage.combinat
sage: import gc
sage: n = gc.collect()
sage: from sage.schemes.elliptic_curves.ell_finite_field import EllipticCurve_finite_field # optional - sage.rings.finite_rings sage.combinat
sage: LE = [x for x in gc.get_objects() if isinstance(x, EllipticCurve_finite_field)] # optional - sage.rings.finite_rings sage.combinat
sage: len(LE) # optional - sage.rings.finite_rings sage.combinat
1
- class sage.structure.coerce_dict.MonoDict#
Bases:
object
This is a hashtable specifically designed for (read) speed in the coercion model.
It differs from a python WeakKeyDictionary in the following important ways:
Comparison is done using the ‘is’ rather than ‘==’ operator.
Only weak references to the keys are stored if at all possible. Keys that do not allow for weak references are stored with a normal refcounted reference.
The callback of the weak references is safe against recursion, see below.
There are special cdef set/get methods for faster access. It is bare-bones in the sense that not all dictionary methods are implemented.
IMPLEMENTATION:
It is implemented as a hash table with open addressing, similar to python’s dict.
INPUT:
data
– optional iterable defining initial data, as dict or iterable of (key, value) pairs.weak_values
– optional bool (default False). If it is true, weak references to the values in this dictionary will be used, when possible.
EXAMPLES:
sage: from sage.structure.coerce_dict import MonoDict sage: L = MonoDict() sage: a = 'a'; b = 'ab'; c = '-15' sage: L[a] = 1 sage: L[b] = 2 sage: L[c] = 3
The key is expected to be a unique object. Hence, the item stored for
c
cannot be obtained by providing another equal string:sage: L[a] 1 sage: L[b] 2 sage: L[c] 3 sage: L['-15'] Traceback (most recent call last): ... KeyError: '-15'
Not all features of Python dictionaries are available, but iteration over the dictionary items is possible:
sage: sorted(L.items()) [('-15', 3), ('a', 1), ('ab', 2)] sage: del L[c] sage: sorted(L.items()) [('a', 1), ('ab', 2)] sage: len(L) 2 sage: for i in range(1000): ....: L[i] = i sage: len(L) 1002 sage: L['a'] 1 sage: L['c'] Traceback (most recent call last): ... KeyError: 'c'
Note that
MW
also accepts values that do not allow for weak references:sage: MW[k] = int(5) sage: MW[k] 5 The following demonstrates that :class:`MonoDict` is safer than :class:`~weakref.WeakKeyDictionary` against recursions created by nested callbacks; compare :trac:`15069` (the mechanism used now is different, though):: sage: M = MonoDict() sage: class A: pass sage: a = A() sage: prev = a sage: for i in range(1000): ....: newA = A() ....: M[prev] = newA ....: prev = newA sage: len(M) 1000 sage: del a sage: len(M) 0 The corresponding example with a Python :class:`weakref.WeakKeyDictionary` would result in a too deep recursion during deletion of the dictionary items:: sage: import weakref sage: M = weakref.WeakKeyDictionary() sage: a = A() sage: prev = a sage: for i in range(1000): ....: newA = A() ....: M[prev] = newA ....: prev = newA sage: len(M) 1000 Check that also in the presence of circular references, :class:`MonoDict` gets properly collected:: sage: import gc sage: def count_type(T): ....: return len([c for c in gc.get_objects() if isinstance(c,T)]) sage: gc.freeze() # so that gc.collect() only deals with our trash sage: N = count_type(MonoDict) sage: for i in range(100): ....: V = [MonoDict({"id":j+100*i}) for j in range(100)] ....: n = len(V) ....: for i in range(n): V[i][V[(i+1)%n]] = (i+1)%n ....: del V ....: _ = gc.collect() ....: assert count_type(MonoDict) == N sage: count_type(MonoDict) == N True sage: gc.unfreeze() AUTHORS: - Simon King (2012-01) - Nils Bruin (2012-08) - Simon King (2013-02) - Nils Bruin (2013-11)
- class sage.structure.coerce_dict.MonoDictEraser#
Bases:
object
Erase items from a
MonoDict
when a weak reference becomes invalid.This is of internal use only. Instances of this class will be passed as a callback function when creating a weak reference.
EXAMPLES:
sage: from sage.structure.coerce_dict import MonoDict sage: class A: pass sage: a = A() sage: M = MonoDict() sage: M[a] = 1 sage: len(M) 1 sage: del a sage: import gc sage: n = gc.collect() sage: len(M) # indirect doctest 0
AUTHOR:
Simon King (2012-01)
Nils Bruin (2013-11)
- class sage.structure.coerce_dict.ObjectWrapper#
Bases:
object
A simple fast wrapper around a Python object. This is like a 1-element tuple except that it does not keep a reference to the wrapped object.
- class sage.structure.coerce_dict.TripleDict#
Bases:
object
This is a hashtable specifically designed for (read) speed in the coercion model.
It differs from a python dict in the following important ways:
All keys must be sequence of exactly three elements. All sequence types (tuple, list, etc.) map to the same item.
Any of the three key components that support weak-refs are stored via a weakref. If any of these components gets garbage collected then the entire entry is removed. In that sense, this structure behaves like a nested
WeakKeyDictionary
.Comparison is done using the ‘is’ rather than ‘==’ operator.
There are special cdef set/get methods for faster access. It is bare-bones in the sense that not all dictionary methods are implemented.
INPUT:
data
– optional iterable defining initial data, as dict or iterable of (key, value) pairs.weak_values
– optional bool (default False). If it is true, weak references to the values in this dictionary will be used, when possible.
IMPLEMENTATION:
It is implemented as a hash table with open addressing, similar to python’s dict.
EXAMPLES:
sage: from sage.structure.coerce_dict import TripleDict sage: L = TripleDict() sage: a = 'a'; b = 'b'; c = 'c' sage: L[a,b,c] = 1 sage: L[a,b,c] 1 sage: L[c,b,a] = -1 sage: sorted(L.items()) [(('a', 'b', 'c'), 1), (('c', 'b', 'a'), -1)] sage: del L[a,b,c] sage: list(L.items()) [(('c', 'b', 'a'), -1)] sage: len(L) 1 sage: for i in range(1000): ....: L[i,i,i] = i sage: len(L) 1001 sage: L = TripleDict(L) sage: L[c,b,a] -1 sage: L[a,b,c] Traceback (most recent call last): ... KeyError: ('a', 'b', 'c') sage: L[a] Traceback (most recent call last): ... KeyError: 'a' sage: L[a] = 1 Traceback (most recent call last): ... KeyError: 'a'
AUTHORS:
Robert Bradshaw, 2007-08
Simon King, 2012-01
Nils Bruin, 2012-08
Simon King, 2013-02
Nils Bruin, 2013-11
- copy()#
Return a copy of this
TripleDict
as Python dict.EXAMPLES:
sage: from sage.structure.coerce_dict import TripleDict sage: L = TripleDict() sage: L[1,2,3] = 42 sage: L.copy() {(1, 2, 3): 42}
- items()#
Iterate over the
(key, value)
pairs of thisTripleDict
.EXAMPLES:
sage: from sage.structure.coerce_dict import TripleDict sage: L = TripleDict() sage: L[1,2,3] = None sage: L.items() <generator object at ...> sage: list(L.items()) [((1, 2, 3), None)]
- class sage.structure.coerce_dict.TripleDictEraser#
Bases:
object
Erases items from a
TripleDict
when a weak reference becomes invalid.This is of internal use only. Instances of this class will be passed as a callback function when creating a weak reference.
EXAMPLES:
sage: from sage.structure.coerce_dict import TripleDict sage: class A: pass sage: a = A() sage: T = TripleDict() sage: T[a,ZZ,None] = 1 sage: T[ZZ,a,1] = 2 sage: T[a,a,ZZ] = 3 sage: len(T) 3 sage: del a sage: import gc sage: n = gc.collect() sage: len(T) # indirect doctest 0
AUTHOR:
Simon King (2012-01)
Nils Bruin (2013-11)