Getting Started
Please be sure you’ve downloaded and installed the following
programs/applications:
- the latest version of Anaconda from
here
- if Windows, download, install, during installation add to PATH,
git for windows here
- a text editor such as Sublime
Text, or
Atom
Class Schedule
| Class Number |
Topic |
| MODULE I |
|
| 1 |
Introduction and Overview |
| 2 |
Pandas and EDA I |
| 3 |
Pandas and EDA II |
| 4 |
Plotting and Presentation Graphics |
| MODULE II |
|
| 5 |
Linear Regression I: OLS |
| 6 |
Linear Regression II: Ridge, Lasso, Elastic Net |
| 7 |
Classification I: Logistic Regression and KNN |
| 8 |
Classification II: Evaluation Metrics |
| 9 |
Modeling Practice |
| 10 |
Webscraping and NLTK I |
| 11 |
Webscraping and NLTK II |
| MODULE III |
|
| 12 |
Additional Models I |
| 13 |
Additional Models II |
| 14 |
Decision Trees |
| 15 |
Forest Models |
| 16 |
Deployment and Databases I |
| 17 |
Deployment and Databases II |
| MODULE IV |
|
| 18 |
Artifical Intelligence I: Perceptrons and Neural Networks |
| 19 |
Artificial Intelligence II: Introduction to Deep Learning |
| 20 |
Final Presentations |
Assignments
| Number |
Topic |
Due |
| 1 |
Exploratory Data Analysis |
6.27 |
| 2 |
Regression |
7.9 |
| 3 |
Classification |
7.16 |
| 4 |
Final Data Set and EDA |
7.25 |
| 5 |
Final Data Set Initial Models |
8.8 |
| 6 |
Final Data Set Models II |
8.15 |
| 7 |
Final Presentation and Project |
8.22 |


A blog by Carlisia Campos
© 2015. All rights reserved.
Uh Oh! Whatever you're looking for, it's not here. Please try another page.


Constructor
new CustomersList() → {HTMLElement}
- Source:
Returns:
customers list componentÍ
- Type
- HTMLElement
Methods
componentDidMount()
triggers api call to fetch cusomtomers list when component get rendered completely
- Source:
render() → {HTMLElement}
renders the list
- Source:
Returns:
composed customers list component
- Type
- HTMLElement


Malta prime minister expected to quit in crisis over journalist murder
VALLETTA, Nov 29 — Malta’s Prime Minister Joseph Muscat has told associates he plans to resign imminently, the Times of Malta reported today.
His decision was brought on by the political and legal crisis brought about by the investigation into the murder of journalist Daphne Caruana Galizia, the newspaper reported.
Authorities have questioned Muscat’s right-hand man Keith Schembri this week in their investigation into the murder of Caruana Galizia, who was blown up by a car bomb in 2017.
Her family demanded today that Muscat resign, after Schembri was set free overnight. Schembri, who resigned this week as Muscat’s chief of staff, denies wrongdoing.
Earlier today, Muscat’s cabinet turned down a request to pardon a businessman, Yorgen Fenech, over the murder in return for testimony that Fenech’s lawyers said would implicate senior government figures including Schembri.
After two years of stalled investigations, the authorities have moved rapidly in recent days in the murder case. — Reuters


| character | entity name | entity number | description | why is this featured? |
|---|---|---|---|---|
| © | © | © | copyright | almost every website uses the copyright symbol |
| | | | | vertical bar | the vertical bar symbol is used to separate menu items or navigation links | |
| · | · | · | Medium List Dot | similar to the vertical bar, the medium list dot is another option to separate menu items; personally i consider it more stylish |
| ↑ | ↑ | ↑ | up arrow | the up arrow can be used in the "back to top" link in a web page |
| € | € | € | Euro Symbol | we often find ourselves struggling to find the euro symbol on a keyboard |
| ² | ² | ² | Superscript 2 | the superscript 2 is a very common symbol when dealing with numbers, such as; 1000² |
| ½ | ½ | ½ | Fraction ½ | give me ½ ... |
| ♥ | ♥ | ♥ | heart | i ♥ all this webmasterish stuff! |
| character | entity name | entity number | description |
|---|---|---|---|
| |   | Inserts a non-breaking blank space | |
| & | & | & | Ampersand |
| " | " | " | quotation mark |
| © | © | © | copyright symbol |
| ® | ® | ® | registered symbol |
| ™ | ™ | ™ | trademark symbol |
| “ | “ | “ | Opening Double Quotes |
| ” | ” | ” | Closing Double Quotes |
| ‘ | ‘ | ‘ | Opening Single Quote Mark |
| ’ | ’ | ’ | Closing Single Quote Mark |
| « | « | « | angle quotation mark (left) |
| » | » | » | angle quotation mark (right) |
| ‹ | ‹ | ‹ | single left angle quotation |
| › | › | › | single right angle quotation |
| § | § | § | Section Symbol |
| ¶ | ¶ | ¶ | Paragraph symbol |
| • | • | • | Big List Dot |
| · | · | · | Medium List Dot |
| … | … | … | horizontal ellipsis |
| | | | | vertical bar | |
| ¦ | ¦ | ¦ | broken vertical bar |
| – | – | – | en-dash |
| — | — | — | em-dash |
| character | entity name | entity number | description |
|---|---|---|---|
| ¤ | ¤ | ¤ | Generic currency symbol |
| $ | $ | dollar symbol | |
| ¢ | ¢ | ¢ | Cent symbol |
| £ | £ | £ | Pound |
| ¥ | ¥ | ¥ | Yen |
| € | € | € | Euro symbol |
| character | entity name | entity number | description |
|---|---|---|---|
| < | < | < | Less than |
| > | > | > | Greater than |
| ≤ | ≤ | ≤ | Less than or Equal to |
| ≥ | ≥ | ≥ | Greater than or Equal to |
| × | × | × | Multiplication symbol |
| ÷ | ÷ | ÷ | Division symbol |
| − | − | − | Minus symbol |
| ± | ± | ± | Plus/minus symbol |
| ≠ | ≠ | ≠ | Not Equal |
| ¹ | ¹ | ¹ | Superscript 1 |
| ² | ² | ² | Superscript 2 |
| ³ | ³ | ³ | Superscript 3 |
| ½ | ½ | ½ | Fraction ½ |
| ¼ | ¼ | ¼ | Fraction ¼ |
| ¾ | ¾ | ¾ | Fraction ¾ |
| ‰ | ‰ | ‰ | per mille |
| ° | ° | ° | Degree symbol |
| √ | √ | √ | square root |
| ∞ | ∞ | ∞ | Infinity |
| character | entity name | entity number | description |
|---|---|---|---|
| ← | ← | ← | left arrow |
| ↑ | ↑ | ↑ | up arrow |
| → | → | → | right arrow |
| ↓ | ↓ | ↓ | down arrow |
| ↔ | ↔ | ↔ | left right arrow |
| ↵ | ↵ | ↵ | carriage return arrow |
| ⌈ | ⌈ | ⌈ | left ceiling |
| ⌉ | ⌉ | ⌉ | right ceiling |
| ⌊ | ⌊ | ⌊ | left floor |
| ⌋ | ⌋ | ⌋ | right floor |
| character | entity name | entity number | description |
|---|---|---|---|
| ♠ | ♠ | ♠ | spade |
| ♣ | ♣ | ♣ | club |
| ♥ | ♥ | ♥ | heart |
| ♦ | ♦ | ♦ | diamond |
| ◊ | ◊ | ◊ | lozenge |
| † | † | † | dagger |
| ‡ | ‡ | ‡ | double dagger |
| ¡ | ¡ | ¡ | inverted exclamation mark |
| ¿ | ¿ | ¿ | inverted question mark |
About EntityCode
The idea came from my constant need to add those hard to remember HTML entity codes, such as the copyright symbol ( © ), every time I’m developing a new website or writing a new article. Usually, I either open one of my previously done webpages and copy what I need, or I go to w3schools to search in their long lists for what I want. I don’t know if I’m the only one doing this, but I know for sure that both methods wasted my time and exhausted my eyes.
Therefore, I decided to create a website that eliminates the frustration and the wasted time caused by this simple task. I know that a full list of all the entities along with their names and codes is a must have for any web developer, but in real development scenarios only a handful of HTML symbols are actually used, so why waste time and energy trying to find what we need by reading long lists written in small hard to read fonts.
I hope that you find EntityCode helpful for your web development needs.
Credits
My thanks go to:
- w3schools - For providing all the resources and tutorials.
- Klaus Hartl - For his jQuery plugin for accessible, unobtrusive tabs.
EntityCode Elsewhere
My sincere gratitude and appreciation to the following people and websites that featured and reviewed EntityCode.
- Sura1.at - May 23rd, 2009: HTML-Entities (Maskierungen für Sonderzeichen) auf EntityCode.com
- Jacopo Farina - May 24th, 2009: EntityCode: come generare codici HTML dei vari simboli
- WebResourcesDepot - May 24th, 2009: Well-Presented HTML Entities: EntityCode
- MatthiasSchuetz - May 24th, 2009: Entity Code: Referenz für HTML-Entities
- TuttoVolume - May 24th, 2009: Entità HTML
- LaFermeDuWeb - May 25th, 2009: Entity Code - Une liste complète des caractères spéciaux en HTML
- GEEKiSSiMO - May 25th, 2009: Entity Code, tanti codici HTML per i caratteri speciali!
- KillerStartups - May 25th, 2009: EntityCode.com - HTML Entities
- SpawnRider - May 25th, 2009: EntityCode, les symboles HTML en toute simplicité
- CriatividadeVisual - May 25th, 2009: Dica: Elementos HTML
- Gregorio Espadas - May 25th, 2009: EntityCode - Referencia de Entidades HTML
- ContentGirls - May 25th, 2009: Entity code
- WebVentil - May 25th, 2009: HTML Entity Referenz
- LunaWeb - May 25th, 2009: Entity Code, le site des abréviations HTML
- Sites To Use - May 26th, 2009: EntityCode.com – Collection Of Symbols Beyond Not Found On Keyboard
- MakeUseOf - May 27th, 2009: EntityCode: Quick Reference To HTML Symbol Codes
- MaestroAlberto - May 29th, 2009: EntityCode: tutti i codici dei simboli della tastiera e i caratteri in HTML
- PuntoGeek - May 29th, 2009: Entity Code, códigos HTML para insertar símbolos
- TecnoPassion - June 5th, 2009: Codici di caratteri speciali e simboli da inserire in pagine HTML
- Meiroca - June 5th, 2009: Codigos de fontes e simbolos especiais para inserir na HTML
- WebCssDesign - June 15th, 2009: Entity Code liste complète de caractères speciaux Html
- MemoKasten.de - July 6th, 2009: HTML Entity Referenz
- Giessenict.nl - September 1st, 2009: EntityCode
If you have reviewed or featured EntityCode on your website or blog, I’ll be more than happy to add it to the list, just let me know by using the contact info below.
Contact Info
- Email: info [at] entitycode [dot] com
- Twitter: Webmasterish
- GiHub: Webmasterish


SOPHIE and Jlin added to Unsound New York 2019
by Henry Bruce-JonesPhoto by: Press
Unsound returns to NYC with a bang.
SOPHIE and Jlin have been added to the 2019 program for Unsound New York, following the news that Amnesia Scanner have had to pull out of the festival for personal reasons.
The festival has also announced two artist talks, the first between Jlin and Miss Red and the second between Polish band Księżyc, Felicita and Krakow-based executive director of Unsound Gosia Plysa.
SOPHIE and Jlin join Caterina Barberi, Via App, The Bug & Miss Red, Tim Hecker, Nivhek and more for a stacked lineup. Unsound New York takes place at the Knockdown Center on November 23. Tickets are on sale now.
For more information about both shows, check out the Unsound New York Facebook event.
Read next: New Forms 2019 – A vital celebration of diverse music and culture in Vancouver
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Bases: object
Define a robot-serial-arm given the Denavit-Hartenberg parameters
and joint type, as tuples.
Each tuple must have the form:
(a_i, alpha_i, d_i, theta_i)
Or including the joint type:
(a_i, alpha_i, d_i, theta_i, joint_type)
All parameters are int or floats, or a symbolic variable.
Numeric angles must be passed in radians.
>>> rr = Robot((l1,0,0,t1), (l2,0,0,t2))
or
>>> rr2 = Robot((l1,0,0,t1,"r"), (l2,0,0,t2,"r"))
-
I_i
(i)[source]
Returns the inertia tensor of i-th link w.r.t. base frame.
-
J
Geometric Jacobian matrix
-
R_i0
(i)[source]
Get the rotation matrix of {i}-Frame w.r.t. {0}-Frame.
-
T
Get Homogeneous transformation matrix of {N}-Frame w.r.t. {0}-Frame
-
T_i0
(i)[source]
Get the HTM of {i}-Frame w.r.t. {0}-Frame.
-
T_ij
(i, j)[source]
Get the HTM of {i}-Frame w.r.t. {j}-Frame.
-
dof
Get the degrees of freedom
-
get_dynamic_model
()[source]
Returns the dynamic model of the robot
-
get_kinetic_energy
()[source]
Returns the kinetic energy of the robot
-
get_potential_energy
()[source]
Returns the potential energy of the robot
-
kin_i
(i)[source]
Returns the kinetic energy of i-th link
-
p
(i)[source]
Get the position for every {i}-Frame w.r.t. {0}-Frame
-
plot_diagram
(vals)[source]
Draw a simple wire-diagram or kinematic-diagram of the manipulator.
- vals : dict
- Dictionary like: {svar1: nvalue1, svar2: nvalue2, …},
where svar1, svar2, … are symbolic variables that are
currently used in model, and nvalue1, nvalue2, …
are the numerical values that will substitute these variables.
-
plot_workspace
()[source]
TODO
-
pot_i
(i)[source]
Returns the potential energy of i-th link
-
qi
(i)[source]
Get the i-th articular variable.
-
qis_range
-
rcm_i
(i)[source]
-
set_cm_locations
(cmlocs)[source]
-
set_gravity_vector
(G)[source]
Set the gravity vector in the base frame.
-
set_inertia_tensors
()[source]
-
set_mass
(mass)[source]
Set mass for each link using a list like: [m1, m2, …, mn], where
m1, m2, …, mn, are numeric or symbolic values.
-
vcm_i
(i)[source]
-
w_i
(i)[source]
-
w_ijj
(i)[source]
-
z
(i)[source]
Get the z-dir of every {i}-Frame w.r.t. {0}-Frame


Welcome to InfiniO
30, 35, 25, 8
USAGE
98%
IMPRESSIONS
457512
9,4,6,5,6,4,7,3
TOTAL SALES
$125543
CURRENCY
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BTC
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Bitcoin Earnings
It is a long established fact that
a reader will be distracted
by the readable
Daily Sales
Check out each collumn for more details
7,5,6,4,8,7,5,6,2,3,5,11,2,3,4,1,4,7,2,3,6,4,5,5,6,2,3,5,6,2,3,4,2,4
Member ProfitAwerage Weekly Profit |
+$13,250 |
OrdersWeekly Customer Orders |
+$14,100 |
Issue ReportsSystem bugs and issues |
+$1,105 |
City: New York
Day - 12:07 PM
34°
| Wind | ESE 17 mph |
| Humidity | 72% |
| Pressure | 25.56 in |
| Cloud Cover | 80% |
| Ceiling | 25280 ft |
| # | Profile | User ID | Email Address | Status |
|---|---|---|---|---|
| 1 | jacob |<EMAIL_ADDRESS>| Approved | |
| 2 | charlotte |<EMAIL_ADDRESS>| Suspended | |
| 3 | grayson |<EMAIL_ADDRESS>| Blocked | |
| 4 | jacob |<EMAIL_ADDRESS>| Approved | |
| 5 | amelia |<EMAIL_ADDRESS>| Approved | |
| 6 | michael |<EMAIL_ADDRESS>| Pending | |
| 7 | jacob |<EMAIL_ADDRESS>| Approved |
Resent ChatDesign Team
Sale Progress
Yearly Income
$22,652.35
117
Example data +24%
78
Example data -12%
56
Example data +24%
82
Example data -12%
Copyright 2018 © All Rights Reserved. InfiniO Dashboard Template


Uses of Class
com.jme.bounding.BoundingVolume
-
Packages that use BoundingVolume Package Description com.jme.bounding com.jme.collision.bih com.jme.light com.jme.renderer com.jme.scene com.jme.scene.control com.jme.shadow -
-
Uses of BoundingVolume in com.jme.bounding
Subclasses of BoundingVolume in com.jme.bounding Modifier and Type Class Description class
BoundingBox
BoundingBox
describes a bounding volume as an axis-aligned box.class
BoundingSphere
BoundingSphere
defines a sphere that defines a container for a group of vertices of a particular piece of geometry.Methods in com.jme.bounding that return BoundingVolume Modifier and Type Method Description BoundingVolume
BoundingBox. clone(BoundingVolume store)
clone
creates a new BoundingBox object containing the same data as this one.BoundingVolume
BoundingSphere. clone(BoundingVolume store)
clone
creates a new BoundingSphere object containing the same data as this one.BoundingVolume
BoundingVolume. clone()
abstract BoundingVolume
BoundingVolume. clone(BoundingVolume store)
clone
creates a new BoundingVolume object containing the same data as this one.BoundingVolume
BoundingBox. merge(BoundingVolume volume)
merge
combines this bounding box locally with a second bounding volume.BoundingVolume
BoundingSphere. merge(BoundingVolume volume)
merge
combines this sphere with a second bounding sphere.abstract BoundingVolume
BoundingVolume. merge(BoundingVolume volume)
merge
combines two bounding volumes into a single bounding volume that contains both this bounding volume and the parameter volume.BoundingVolume
BoundingBox. mergeLocal(BoundingVolume volume)
mergeLocal
combines this bounding box locally with a second bounding volume.BoundingVolume
BoundingSphere. mergeLocal(BoundingVolume volume)
mergeLocal
combines this sphere with a second bounding sphere locally.abstract BoundingVolume
BoundingVolume. mergeLocal(BoundingVolume volume)
mergeLocal
combines two bounding volumes into a single bounding volume that contains both this bounding volume and the parameter volume.BoundingVolume
BoundingBox. transform(Matrix4f trans, BoundingVolume store)
BoundingVolume
BoundingBox. transform(Transform trans, BoundingVolume store)
transform
modifies the center of the box to reflect the change made via a rotation, translation and scale.BoundingVolume
BoundingSphere. transform(Matrix4f trans, BoundingVolume store)
BoundingVolume
BoundingSphere. transform(Transform trans, BoundingVolume store)
transform
modifies the center of the sphere to reflect the change made via a rotation, translation and scale.abstract BoundingVolume
BoundingVolume. transform(Matrix4f trans, BoundingVolume store)
BoundingVolume
BoundingVolume. transform(Transform trans)
transform
alters the location of the bounding volume by a rotation, translation and a scalar.abstract BoundingVolume
BoundingVolume. transform(Transform trans, BoundingVolume store)
transform
alters the location of the bounding volume by a rotation, translation and a scalar.Methods in com.jme.bounding with parameters of type BoundingVolume Modifier and Type Method Description BoundingVolume
BoundingBox. clone(BoundingVolume store)
clone
creates a new BoundingBox object containing the same data as this one.BoundingVolume
BoundingSphere. clone(BoundingVolume store)
clone
creates a new BoundingSphere object containing the same data as this one.abstract BoundingVolume
BoundingVolume. clone(BoundingVolume store)
clone
creates a new BoundingVolume object containing the same data as this one.boolean
BoundingBox. intersects(BoundingVolume bv)
intersects determines if this Bounding Box intersects with another given bounding volume.boolean
BoundingSphere. intersects(BoundingVolume bv)
abstract boolean
BoundingVolume. intersects(BoundingVolume bv)
determines if this bounding volume and a second given volume are intersecting.BoundingVolume
BoundingBox. merge(BoundingVolume volume)
merge
combines this bounding box locally with a second bounding volume.BoundingVolume
BoundingSphere. merge(BoundingVolume volume)
merge
combines this sphere with a second bounding sphere.abstract BoundingVolume
BoundingVolume. merge(BoundingVolume volume)
merge
combines two bounding volumes into a single bounding volume that contains both this bounding volume and the parameter volume.BoundingVolume
BoundingBox. mergeLocal(BoundingVolume volume)
mergeLocal
combines this bounding box locally with a second bounding volume.BoundingVolume
BoundingSphere. mergeLocal(BoundingVolume volume)
mergeLocal
combines this sphere with a second bounding sphere locally.abstract BoundingVolume
BoundingVolume. mergeLocal(BoundingVolume volume)
mergeLocal
combines two bounding volumes into a single bounding volume that contains both this bounding volume and the parameter volume.BoundingVolume
BoundingBox. transform(Matrix4f trans, BoundingVolume store)
BoundingVolume
BoundingBox. transform(Transform trans, BoundingVolume store)
transform
modifies the center of the box to reflect the change made via a rotation, translation and scale.BoundingVolume
BoundingSphere. transform(Matrix4f trans, BoundingVolume store)
BoundingVolume
BoundingSphere. transform(Transform trans, BoundingVolume store)
transform
modifies the center of the sphere to reflect the change made via a rotation, translation and scale.abstract BoundingVolume
BoundingVolume. transform(Matrix4f trans, BoundingVolume store)
abstract BoundingVolume
BoundingVolume. transform(Transform trans, BoundingVolume store)
transform
alters the location of the bounding volume by a rotation, translation and a scalar. -
Uses of BoundingVolume in com.jme.collision.bih
Methods in com.jme.collision.bih with parameters of type BoundingVolume Modifier and Type Method Description int
BIHTree. collideWith(Collidable other, Matrix4f worldMatrix, BoundingVolume worldBound, CollisionResults results)
-
Uses of BoundingVolume in com.jme.light
Methods in com.jme.light that return BoundingVolume Modifier and Type Method Description BoundingVolume
LightProbe. getBounds()
Deprecated.Methods in com.jme.light with parameters of type BoundingVolume Modifier and Type Method Description void
LightProbe. setBounds(BoundingVolume bounds)
Deprecated. -
Uses of BoundingVolume in com.jme.renderer
Methods in com.jme.renderer with parameters of type BoundingVolume Modifier and Type Method Description Camera.FrustumIntersect
Camera. contains(BoundingVolume bound)
contains
tests a bounding volume against the planes of the camera's frustum.boolean
Camera. containsGui(BoundingVolume bound)
containsGui
tests a bounding volume against the ortho bounding box of the camera. -
Uses of BoundingVolume in com.jme.scene
Fields in com.jme.scene declared as BoundingVolume Modifier and Type Field Description protected BoundingVolume
Spatial. worldBound
Spatial's bounding volume relative to the world.Methods in com.jme.scene that return BoundingVolume Modifier and Type Method Description BoundingVolume
Mesh. getBound()
Returns theBoundingVolume
of this Mesh.BoundingVolume
Geometry. getModelBound()
BoundingVolume
Spatial. getWorldBound()
getWorldBound
retrieves the world bound at this node level.Methods in com.jme.scene with parameters of type BoundingVolume Modifier and Type Method Description int
CollisionData. collideWith(Collidable other, Matrix4f worldMatrix, BoundingVolume worldBound, CollisionResults results)
int
Mesh. collideWith(Collidable other, Matrix4f worldMatrix, BoundingVolume worldBound, CollisionResults results)
Handles collision detection, internal use only.void
Mesh. setBound(BoundingVolume modelBound)
Sets theBoundingVolume
for this Mesh.void
Geometry. setModelBound(BoundingVolume modelBound)
Sets the model bound to use for this geometry.void
Node. setModelBound(BoundingVolume modelBound)
abstract void
Spatial. setModelBound(BoundingVolume modelBound)
setModelBound
sets the bounding object for this Spatial. -
Uses of BoundingVolume in com.jme.scene.control
Methods in com.jme.scene.control with parameters of type BoundingVolume Modifier and Type Method Description static float
AreaUtils. calcScreenArea(BoundingVolume bound, float distance, float screenWidth)
Estimate the screen area of a bounding volume. -
Uses of BoundingVolume in com.jme.shadow
Method parameters in com.jme.shadow with type arguments of type BoundingVolume Modifier and Type Method Description static BoundingBox
ShadowUtil. computeUnionBound(java.util.List<BoundingVolume> bv)
Computes the bounds of multiple bounding volumes
-


I'm a web developer living in Denver. My interests span the front end, from designing perfect wireframes to developing powerful webapps.
I believe the webapps and software should be:
- Beautiful
- Useful
- Responsive
- Accessible
It's my goal to build delightful and helpful things that meet these standards.
Some of the technologies I like to use are:


What is Grubify?
Eat Well
Grubify aims to provide you with the healthiest, most delicious meal plans that our inhouse chefs and gurus cook up daily!
 Set a budget for each meal or for the week and we'll pick out the very best menu!
Waste Less
One of Grubify's main goals is to reduce food waste. We will do this by only providing the ingredients needed to cook each meal. Say goodbye to impulse-buying!


Reads a file in the current working directory or a String as a plain text YAML file. It uses SnakeYAML as YAML processor. The returned objects are standard Java objects like List, Long, String, ...: bool: [true, false, on, off] int: 42 float: 3.14159 list: ['LITE', 'RES_ACID', 'SUS_DEXT'] map: {hp: 13, sp: 5}
Fields:file
:
Optional path to a file in the workspace to read the YAML datas from.
text
:
An Optional String containing YAML formatted datas.
These are added to the resulting object after file
and so will overwrite any value already present if not a new YAML document
Examples:
With only one YAML document :
With several YAML documents :
def datas = readYaml text: """
something: 'my datas'
size: 3
isEmpty: false
"""
assert datas.something == 'my datas'
assert datas.size == 3
assert datas.isEmpty == false
With file dir/my.yml containing
def datas = readYaml text: """
---
something: 'my first document'
---
something: 'my second document'
"""
assert datas.size() == 2
assert datas[0].something == 'my first document'
assert datas[1].something == 'my second document'
something: 'my datas'
:
def datas = readYaml file: 'dir/my.yml', text: "something: 'Override'"
assert datas.something == 'Override'


VReview
VRCover review: A face pad system for the Oculus Quest I wish I could recommend
by Sean EndicottBecause the Oculus Quest doesn't require a phone, computer, or any external wires, you can enjoy it just about anywhere. It's a liberating VR experience housed in a well-designed headset. I have very few complaints about the Oculus Quest's design, but it can be a bit front heavy. The built-in face pad is comfortable enough, but I'm always on the hunt to try out accessories to see if they can improve my devices. VR Cover sent over several accessories, including their VR Cover Facial Interface & Foam Replacement Basic Set for Oculus Quest.
Over the last few weeks, I tried out several foam face pads for the Oculus Quest to see if any of them help the headset remain comfortable during long playing sessions. Unfortunately, some design flaws with VR Cover's facial interface left me wanting more.
Options for your face
VR Cover Facial Interface & Foam Replacement Basic Set for Oculus Quest
Bottom line: VR Cover's facial interface fits into the Oculus Quest well, but it makes light leak worse and needs some improvements to its design.
Pros:
- Is compatible withs several face pads
- Face pads can be easily swapped thanks to velcro
- Can be easily removed for cleaning
Cons:
- Increases light leak, making gameplay worse
- Ends of the face pads end in odd places
- Pricey if you want the full set
What you'll like about the VR Cover Facial Interface
VR Cover aims to make the Oculus Quest more comfortable. To use the system, you pop out the stock facial cover and swap in a mold from VR Cover that has velcro on the back. The mold fits into the Oculus Quest well, lining up with all of the headset's indents and holes to make sure it securely attaches. You can then swap out several face pads using the velcro on the system. It's tremendously easy to swap out different face pads. The best part about the design is that you don't have to remove the mold, so holes don't loosen over time.
The basic set includes a facial interface, a standard foam face pad, and a comfort foam face pad. I also tested the slim foam face pad that can be ordered separately. The different face pads have different levels of padding, helping you find the right fit. Cheekbones vary from person to person, so you'll probably have to try out each pad to ensure you have the right fit.
The face pads are vegan-friendly "leather" and are easily wipeable. You can pull off a cover, wipe it down, and place it back on the headset to keep your headset free from sweat.
What you may dislike about the VR Cover Facial Interface
VR Cover is a great idea. I'm always in favor of having options for devices, and I like that VR Cover works with several face pads. The issue is that VR Cover is two steps forward and one step back. While the swappable nature of the covers is nice, I have some issues with their design that hold me back from using them past this review.
VR Cover's faceguards just kind of, end. The stock Oculus Quest cover wraps all the way around your face with one continuous piece. In contrast, VR Cover's face pads look more like the letter "C." As a result, they feel like they're poking around and out of place. Even if you velcro them down in the right spot, it's still very clear that they end abruptly instead of continuing through the nose of the facial interface.
VR Cover doesn't sell a nosepiece, so you're out of luck if light leak is important to you.
The face pads ending in an odd way wouldn't be such a big deal if you couldn't see or feel that this occurred. But the VR Cover face pads leave an even bigger gap around your nose than the stock facial interface. This might be to reduce fogging up the lenses or to ensure you don't bump into the nosepiece, but the end result is a gaping hole around your nose. I tried several face pads, including the slim option, but all of them have a very noticeable nose gap. As far as I can tell, VR Cover doesn't sell a nosepiece, so you're out of luck if light leak is important to you.
On top of these issues, VR Cover's facial interface isn't exactly cheap. The basic set costs $29, but you'll have to spend an additional $19 if you want a slim face pad. If you want an additional cover that helps reduce sweat, that costs another $19. As a quick aside, I actually really like the headstrap foam pad from VR Cover and will review that separately.
Should you buy the VR Cover Facial Interface?
VR Cover's facial interface system has some nice things going for it. It fits well into the Oculus Quest, allows you to easily swap out several face pads, and is easy to clean. Unfortunately, some design flaws let the rest of the system down. The covers make light leak even worse than the stock facial interface, and the odd decision to have the face pads end rather than be one continuous piece hurts the overall design of the system. It's a shame because I want to be able to recommend accessories to make the Oculus Quest better, but I can't honestly say that this system is better than what comes with the headset.
3 out of 5
I'm currently testing a wide range of Oculus Quest accessories, so make sure to check back in to see which accessories are worth adding to your Oculus Quest.
Options for your face
VR Cover Facial Interface & Foam Replacement Basic Set for Oculus Quest
A facial system with options.
VR Cover's facial interface fits into the Oculus Quest well, but it makes light leak worse and needs some improvements to its design.
We may earn a commission for purchases using our links. Learn more.


Color
Blindness
Recognition
It's not all black and white.
Join in
Disgussion,
see what we can do more.
Color
Blindness
Recognition
It's not all black and white.
Join in
Disgussion,
see what we can do more.
Color blindness is the inability or decreased ability to see color,or perceive color differences, under normal lighting conditions. Color blindness affects a significant percentage of the population.There is no actual blindness but there is a deficiency of color vision. The most usual cause is a fault in the development of one or more sets of retinal cones that perceive color in light and transmit that information to the optic nerve.
Over 8% of your male clients are likely to be color blind,color blindness typically refers to a reduced ability to distinguish between shades of certain colors. Graphic user interfaces are a major concern because it is crucial that they are legible and easy to navigate for all users.It is vital for designers to see what their color blind customers will see.
a reduced sensitivity to red light
A reduced sensitivity to green light and is the most common form of colour blindness
a reduced sensitivity to blue light and is extremely rare.


NerdyDuck documentation |
This wiki contains documentation for most NerdyDuck projects. Use the links to the left to view the individual project documentations.
Most projects target Microsoft's .NET platform.
If a project name starts with NerdyDuck., it is usually a library to be used by another project.
Not all of my projects on GitHub have a documentation here. They may be just small test projects, or forked from other repositories, or the documentation is just not ready to be published.


This article tries to find a formal answer from the beginner's naive perspective to questions such as: "Does it feels as it should?", "This UI framework performs better than another, does it?", or even "After new update UX became slightly worse, or it is just for me?".
FPS (frames per second) is probably the first metric what comes to mind when we try to measure the UI performance. Video game players are very well aware of framerate differiences, game developers have beein using most sophisticated techniques to achieve higher rates (espessially in VR).
Higher fps is usually desired target everywhere (except modern cinema industry which stuck at 24fps). And it can be measured by internal developer tools in browsers and IDEs
Some examples prerecorded via Videotape. Difference between 30fps and 60fps might be less noticable, you may need to watch clips multiple times to feel it.
In order to get unthrottled 60fps in ios simulator sometimes you need to change the window scale to lower values and check your CPU load.
For web and mobile interfaces target FPS usually is 60, since most of the screens works on 60Hz refresh rate (Hello, the new iPad and its 120Hz). However, rendering might not be finished in time, leading to dropped frames. That time can be calculated: 1 second / 60 frames ≈ 16.6ms per frame. Basically, in such cases, the previous frame is displayed instead. It's crucial if an app needs to present important layout changes for the visual feedback, but couldn't. Framerate drops for a few frames and tt got immediately noticed by user.
Imagine an app: a simple box moving with linear speed from bottom to up. Let's add an artificial JS buzz generator, which randomly freezes the JS thread for 2-4 frames. You can notice lags in the movement. We can capture screenshots of our app 60 times per seconds and create a sequence of snapshots. This allows to compare two neighbor frames, pixel by pixel. Naive approach: If frame has changed pixels, we mark it as a green.
What do orange frames mean for a smootn move? This is how this segment of the screenshot sequence looks more closely, consisted of three frames:
At the normal conditions the box slightly moves to the desired direction by a few pixels every 16ms. But when rendering is artificially freezed, the calculation for a position can't be done in time and the box stops moving at all. And after freezing ends, the box jumps directly to the position according to timestamp. All of this combined produce the lag.
Latency is a response time between user interaction and the visual feedback. It's harder to measure directly, but we can get the basic idea by using the same principle of analyzing the sequence.
Videotape is a tool for capturing and analyzing frames sequence in order to find UX performance regressions in your web and mobile apps. It's an basic idea with a simple implementation to research the problem.
Videotape.app is a macOS only app roughly 4MB (half of size of which is an app icon) with a thin node module wrapper for CLI management and distribution.
You can install it with npm install videotape -g
and use via command-line and GUI
if you're really willing to be an alpha tester.


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Link to the structural features of TRK receptors
Neurotrophins are a family of protein nerve growth factors that are critical for the development and functioning of the nervous system, regulating a wide range of biological processes: neuronal survival, proliferation, cell migration, axonal and dendritic outgrowth and patterning, synapse strength and plasticity, injury protection, as well as controlling the activity of ion channels and neurotransmitter receptors. Besides their diverse roles in the nervous system, they are also involved in vascular and tumour biology. Several neurotrophins have been identified, including nerve growth factor (NGF), brain-derived neurotrophic factor (BDNF), neurotrophin-3 (NT3), NT4, NT5, and NT7. Neurotrophins exert their control through a variety of signalling cascades, which involve binding to two classes of cell surface receptors, the Trk receptor tyrosine kinase family and the structurally unrelated p75NTR (a member of the tumour necrosis factor receptor family) in order to modulate diverse and sometimes opposing biological actions.
Neurotrophins can promote both neuronal cell survival and death. Trk receptors are known to positively affect neuronal survival and differentiation through their activation of different signalling cascades, including the Ras/MAPK (mitogen-activated protein kinase) pathway and the PI3K (phosphatidylinositol 3-kinase) pathway, which act to intercept nuclear and mitochondrial cell-death programs.
The activation of the Ras/MAPK pathway is essential for the neurotrophin-induced differentiation of neuronal and neuroblastoma cells. Several pathways can lead from Trk receptors to Ras activation, most involving the phosphorylation of tyrosine residues in the Trk receptors. The various MAPKs activated through Ras and Rap1 have different downstream targets that mediate gene transcription via activation of several different transcription factors resulting in diverse biological responses.
The recruitment of PI3K to activated Trk receptors is critical for receptor-mediated survival signalling via second messengers that activate the serine threonine kinase Akt (also known as protein kinase B). Substrates of Akt include proteins involved in several steps of cell death pathways (FKHRL1 forkhead transcription factor, Bad, Caspase-9, GSK3b, and NFkB), which can be intercepted by Akt.
In contrast, activation of the p75NTR receptor has been implicated in neuronal cell death through its activation of the JNK1 (c-Jun N-terminal kinase) pathway and the p53 pathway, as well as through the neurotrophin-receptor-interacting factor (NRIF). However, the opposite has also been found, where the p75NTR receptor has been shown to promote neuronal cell survival through its activation of the NF-kB transcription factor, following its interaction with NGF. p75NTR can also promote neurite outgrowth and cell migration. There is even some question as to whether Trk receptors can play a part in neuronal cell death. Therefore, neuronal cell fate seems to be a balancing act that is in part determined by the associated signalling molecules elicited upon activation of the receptor.
The Trk (tropomyocin receptor kinase) receptor was first identified as a colon-derived oncogene in which tropomyocin was fused to a tyrosine kinase domain. However, the normal cellular counterpart of this oncogene, namely Trk (lacking tropomyocin), was found to be a transmembrane protein that is highly expressed in the developing and adult nervous system. To date, three Trk receptors have been identified, TrkA (or NTRK1), TrkB (or NTRK2), and TrkC (or NTRK3), each of which has a different neurotrophin binding specificity: TrkA binds NGF, TrkB binds BDNF and NT4, and TrkC binds NT3 (TrkA and TrkB bind NT3 to a lesser extent). The neurotrophins are synthesised in a precursor form (pro-neurotrophins) that are proteolytically cleaved to generate mature neurotrophins. These pro-neurotrophins bind to p75NTR with a higher affinity than mature neurotrophins, but bind only weakly to Trk receptors. Therefore, p75NTR can bind all the neurotrophins in their precursor form, while the Trk receptors are selective for specific mature neurotrophins (see picture below).
|
|
|
Neurotrophins and their receptors. Unprocessed ligands bind with high affinity to p75NTR, while the processed ligands have a higher affinity for specific Trk receptors. Reprinted from Annual Review of Neuroscience 26, R. A. Segal, Selectivity in Neurotrophin Signaling: Theme and Variations, PP. 299-330, 2003, PMID: 12598680 |


Guidance
Demonstration videos to support education institutions in the use of the Student Bursary Support portal.
Demonstration videos have been prepared to support education institutions in the use of the Student Bursary Support portal. These videos explain and demonstrate the changes and provide guidance on how to use the portal features.
Care to Learn: Care and Learning Provider Portal Overview
Care to Learn: Attendance Monitoring
Care to Learn Supporting C2L application
Further information is available from the Student Bursary Support Service Team at:
Published: 22 May 2015
From: Education Funding Agency
Part of: Further education and training


Moya FAQ creatse a Frequently Asked Questions page that may be edited by admin.
THe Moya FAQ library is built in to Moya and may be imported via its Python pass as follows:
<import py="moya.libs.faq" />
You can install it as follows:
<install name="faq" lib="moya.faq" mount="/faq/" />
FAQs are fairly ubiquitous, and allow you to present useful information in a questions and answer format. You don't even need to wait until a questions has been asked to add it to the FAQ.
Moya FAQ renders a single-page FAQ. The questions are displayed in a list at the top of the page, with links to the answers. The answers have named anchors so you may send link to individual quesions.


The link is expired or the operation you have performed is not allowed. Please contact Qxf2 when you encounter an issue.Thank you for your cooperation


Versions¶
- 1.1.1 (July 24, 2020)
- Bugfixes
- 1.1.0 (May 4, 2020)
- BREAKING CHANGE: Only Python 3.6+ supported in favor of variable-level typing.
- BREAKING CHANGE: as_xml and from_xml have been removed from most classes.
- BREAKING CHANGE: AccountType moved to new enum module.
- BREAKING CHANGE: get_starting_balance, get_balance_at_date, get_ending_balance, and minimum_balance_past_date have been removed from the Account class. Please use the methods in the TransactionManager.
- BREAKING CHANGE: Subaccount support has been removed from InterestAccount. Please use InterestAccountWithSubaccounts instead in those situations.
- BREAKING CHANGE: Book class’s build_file and read_file now require the “file_format” parameter. This should be an object that extends the BaseFileFormat class. See XMLFileFormat, GZipXMLFileFormat, and SqliteFileFormat.
- MyPy type annotations added to all function calls and variables.
- List of used GUIDs are kept in a set, rather than a list. Thanks to Eric Petersen (peap) for this contribution!
- The file_formats package was inaccessable/not provided through the pip installer. Thanks to Eric Petersen (peap) for catching this and providing the fix!
- 1.0.2 (Jan 26, 2019)
- Added SimpleTransaction to make transactions with only 2 splits easier to manipulate.
- Added properties to Account.
- color
- notes
- hidden
- placeholder
- Added properties to Transaction.
- notes
- reversed_by
- voided
- void_time
- void_reason
- associated_uri
- 1.0.1 (Jan 9, 2019)
- Bugfixes
- Adding support for ScheduledTransactions.
- Adding support for Budgets.
- Added method get_subaccount_by_id for retrieving a subaccount by its GUID
- 1.0.0 (Jan 4, 2019)
- Initial Release


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CCTV surveillance system specializing in manufacturing
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| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
MSG_READED_STATUS |
1 |
public static final int |
MSG_UNREADED_STATUS |
0 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
IM_DEVICE_MSG |
1 |
public static final int |
IM_GENERAL_CUSTOM_MSG |
0 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
CANCEL_TRIBE_MANAGER |
8 |
public static final int |
EXPEL_TRIBE |
2 |
public static final int |
JOIN_TRIBE |
9 |
public static final int |
MODIFY_TRIBE_CHECK_MODE |
5 |
public static final int |
MODIFY_TRIBE_NAME |
3 |
public static final int |
MODIFY_TRIBE_NAME_AND_NOTICE |
10 |
public static final int |
MODIFY_TRIBE_NICK |
6 |
public static final int |
MODIFY_TRIBE_NOTICE |
4 |
public static final int |
QUITE_TRIBE |
1 |
public static final int |
SET_TRIBE_MANAGER |
7 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
IM_AUDIO |
2 |
public static final int |
IM_AUTO_REPLY_RSP |
67 |
public static final int |
IM_CARD |
20 |
public static final int |
IM_GEO |
8 |
public static final int |
IM_GIF |
4 |
public static final int |
IM_GOODS_TRADEFOCUS |
9 |
public static final int |
IM_HONGBAO_MSG |
227 |
public static final int |
IM_IMAGE |
1 |
public static final int |
IM_INPUT_STATUS |
11 |
public static final int |
IM_ORDER_CHANGED |
57 |
public static final int |
IM_ORDER_TRADEFOCUS |
56 |
public static final int |
IM_P2P_CUS |
66 |
public static final int |
IM_PROFILE_CARD |
52 |
public static final int |
IM_SHARE |
55 |
public static final int |
IM_SYSTEM |
-1 |
public static final int |
IM_SYSTEM_TIP |
-3 |
public static final int |
IM_TEMPLATE |
65 |
public static final int |
IM_TEXT |
0 |
public static final int |
IM_TICKET_TIP |
-4 |
public static final int |
IM_TRIBE_CUS |
17 |
public static final int |
IM_VIDEO |
3 |
public static final int |
TRIBE_TEMPLATE_MSG |
211 |
| Modifier and Type | Constant Field | Value |
|---|---|---|
public static final int |
LOGOFF_OK |
0 |
public static final int |
LOGON_FAIL_ALREADY_LOGININ |
-4 |
public static final int |
LOGON_FAIL_DISABLE_APPKEY |
-251 |
public static final int |
LOGON_FAIL_EXCEPTION |
-5 |
public static final int |
LOGON_FAIL_INVALIDPWD |
2 |
public static final int |
LOGON_FAIL_INVALIDUSER |
1 |
public static final int |
LOGON_FAIL_KICKOFF |
-3 |
public static final int |
LOGON_FAIL_NOT_FIT_SERVER |
37 |
public static final int |
LOGON_FAIL_OLD_VERSION |
34 |
public static final int |
LOGON_FAIL_OTHER_ERR |
255 |
public static final int |
LOGON_FAIL_SYSBLOCK |
3 |
public static final int |
LOGON_FAIL_TIME_OUT |
-2 |
public static final int |
LOGON_FAIL_UNKNOWN |
-255 |
public static final int |
LOGON_OK |
0 |


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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object jpaul.Constraints.Constraint<V,Info>
public abstract class Constraint<V extends Var<Info>,Info>
Constraint
models a constraint between several
variables. Mathematically, a constraint has the form:
f(<vi_1,vi_2,...,vi_m>) <= <vo_1,vo_2,...,vo_n>
where vi_1, vi_2
, ..., vi_m
are the input variables of the constraints,
vo_1, vo_2
, ..., vo_n
are the
output variables, and f is a computable function.
We solve a constraint system by repeatedly applying the
constraints until we obtain a fixed point. Hence, we use an
operational interpretation of a constraint: a constraint reads the
values of the input variables (see method in()
) and next
computes and joins some deltas to the values of the output
variables (see method out()
); the sets of in- and out-variables are not
necessarily disjoint. Notice that a constraint cannot decrease the
value attached to any variable; hence, the values of all variables
increase, and (if the domains have finite height), the fixed-point solver
will terminate (Note: this is a solution according to our
operational view of the constraints; hopefully, this is identical
to your intended constrain meaning).
The cost of a constraint is supposed to be a very rough
approximation of the constraint computation cost (see cost()
). This measure is used by the constraint solver
in order to increase its
speed.
To define new constraints, you have to subclass this class and
provide implementation for its abstract methods. Here is a sample
new constraint: simplified SetConstraints.IntersectConstraint.
- Version:
- $Id: Constraint.java,v 1.14 2006/01/31 00:42:56 adam_kiezun Exp $
- Author:
- Alexandru Salcianu -<EMAIL_ADDRESS>- See Also:
CtConstraint
,
LtConstraint
Field Summary
static int
AVG_COST
Possible constraint cost; see cost()
static int
HIGH_COST
Possible constraint cost; see cost()
static int
LOW_COST
Possible constraint cost; see cost()
static int
VERY_LOW_COST
Possible constraint cost; see cost()
Constructor Summary
Constraint()
Method Summary
abstract void
action(SolAccessor<V,Info> sa)
Performs the action attached to this constraint.
int
cost()
Returns a rough estimate of the evaluation cost of
this
constraint.
abstract java.util.Collection<V>
in()
abstract java.util.Collection<V>
out()
Constraint<V,Info>
rewrite(UnionFind<V> uf)
Rewrites this
constraint by replacing each
variable with the representative of its equivalence class.
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
Field Detail
VERY_LOW_COST
public static final int VERY_LOW_COST
- Possible constraint cost; see
cost()
- See Also:
- Constant Field Values
LOW_COST
public static final int LOW_COST
- Possible constraint cost; see
cost()
- See Also:
- Constant Field Values
AVG_COST
public static final int AVG_COST
- Possible constraint cost; see
cost()
- See Also:
- Constant Field Values
HIGH_COST
public static final int HIGH_COST
- Possible constraint cost; see
cost()
- See Also:
- Constant Field Values
Constructor Detail
Constraint
public Constraint()
Method Detail
in
public abstract java.util.Collection<V> in()
- Returns:
- List of variables whose values may be read in order to
construct the values of the outputs.
out
public abstract java.util.Collection<V> out()
- Returns:
- List of variables whose values may be affected by this
constraint.
action
public abstract void action(SolAccessor<V,Info> sa)
- Performs the action attached to this constraint.
The action should have the following form:
- Read the values of several in-variables using
sa.
get
.
- Compute some values.
- Use
sa.
join
to join the computed
values to several out-variables.
Note1: It is a serious mistake to write an
action
method that reads/modifies variables that
are not listed in the collections returned by
in()
/out()
. If you ever suspect
such an error, please set ConstraintSystem.CHECK_IN_OUT
to true
.
Note2: The solver initializes each variable to
null
(null
is considered equivalent
to the bottom element of the correspoding lattice). The body
of action
should be prepared to receive a
null
result from sa.get
.
- Parameters:
sa
- Provides access to the values of the variables that
are read/modified.
rewrite
public Constraint<V,Info> rewrite(UnionFind<V> uf)
- Rewrites
this
constraint by replacing each
variable with the representative of its equivalence class.
The real implementation of this method is optional: the
default implementation returns this
constraint,
unmodified. This is safe: the constraint writer does not need
to be aware of variable unification, as the
SolAccessor
passed by the constraint solver
already deals with it.
Implementing rewrite
may be useful when
unification causes several constraints to become identical:
e.g., consider v1 <= v2
and v3 <=
v4
, after we unify v1
with v3
and v2
with v4
. Implementing
rewrite
, equals
(and
hashCode
) allows the solver to avoid working with
several identical constraints.
- Parameters:
uf
- Union-find structure; for each variable
v
, uf.find(v)
is the representative
of its equivalence class.
cost
public int cost()
- Returns a rough estimate of the evaluation cost of
this
constraint. This cost has only a relative
meaning: e.g., a constraint is more/less costly than another.
A constraint solver may choose to iterate first over the cheap
constraints, and only next iterate over the other, more
expensive constraints.
The cost should influence only the speed, not the correctness:
the solution of a system of constraints should satisfy all
constraints, regardless of their cost.
By default, it returns AVG_COST
.
Overview
Package
Class
Tree
Deprecated
Index
Help
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SUMMARY: NESTED | FIELD | CONSTR | METHOD
DETAIL: FIELD | CONSTR | METHOD
Copyright 2005 Alexandru Salcianu - salcianu@alum.mit.edu


Executes this rule without creating a new element.
Executes this rule without creating a new element. Instead the target element is passed as the 2nd argument
the source object of the transformation
the target object of the transformation
the target object that may be changed by the users execution method
Executes this rule.
Executes this rule. A new Element of type TB is created, given to the users execution method or created by the user and finally returned
the source object that should be transformed by this rule
If set to true, no user actions will be executed on existing model elements. Default value is false
a newly created element of type TB
Execution method for one to many transformations
Execution method for one to many transformations
the source model element
a list of the target model elements
getter of the created elements
getter of the created elements
a list of objects that are already created by the transformation this rule belongs to
getter for the manifest of the from-model
getter for the manifest of the from-model
the manifest object of the TA type of this rule (source type)
Getter of the isLazyRule attribute
Getter of the isLazyRule attribute
true if this rule is set to "Lazy"
Getter of the isUniqueRule attribute
Getter of the isUniqueRule attribute
true if this rule is a "Unique" rule
getter for the manifest of the to-model
getter for the manifest of the to-model
the manifest object of the TB type of this rule (source type)
the users evaluation method is called and the return value is passed as return value
the users evaluation method is called and the return value is passed as return value
the element this rule should be performed on
true if this rule is applicable for the input element, otherwise false
Getter if this rule is a one to many
The logger instance for each class
The logger instance for each class
setter for the toModel
setter for the toModel
set the target model
setter of the transformation this rule belongs to
setter of the transformation this rule belongs to
the transformation this rule should belong to
A rule stands for a specific transformation from type TA to TB. The user can specify when this rule is applicable and what should be done with the target elements.


This package contains a number of generic reusable components such as
language specification, system functions, codecs, etc.
Package Specification
Requires J2SE SDK 1.5.0 and above.
Related Documentation
For overviews, tutorials, examples, guides, and tool documentation, please see:


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Before Change
This editor example shows how to interact with holodeck worlds while they are being built
in the Unreal Engine. Most people that use holodeck will not need this.
sensors = [Sensors.RGB_CAMERA]
agent_definitions = [
AgentDefinition("turtle0", agents.TurtleAgent, sensors),
AgentDefinition("turtle1", agents.TurtleAgent, sensors),
AgentDefinition("turtle2", agents.TurtleAgent, sensors),
AgentDefinition("turtle3", agents.TurtleAgent, sensors),
AgentDefinition("turtle4", agents.TurtleAgent, sensors)
]
env = HolodeckEnvironment(agent_definitions, start_world=False)
command = [0, 10]
for i in range(10):
After Change
This editor example shows how to interact with holodeck worlds while they are being built
in the Unreal Engine. Most people that use holodeck will not need this.
sensors = [Sensors.RGB_CAMERA, Sensors.LOCATION_SENSOR, Sensors.VELOCITY_SENSOR]
agent = AgentDefinition("uav0", agents.UavAgent, sensors)
env = HolodeckEnvironment(agent, start_world=False)
env.agents["uav0"].set_control_scheme(1)
command = [0, 0, 10, 50]
for i in range(10):
env.reset()
env.send_world_command("SetWeather", string_params=["rain"])
for _ in range(1000):
state, reward, terminal, _ = env.step(command)
def editor_multi_agent_example():
This editor example shows how to interact with holodeck worlds that have multiple agents.


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CNN to recommend similar T-shirt's from the database
+
Upload The image of the T-shirt to get matching T-shirts!
UPLOAD AND GO!
MATCHING RESULTS


Announcing a new tool, xcbs! Track how your Xcode schemes’ build settings change with updates to your .xcodeproj
and .xcconfig
files. If reading “Xcode Build Setting Inheritance and Precedence” had you on the edge of your seat, then this tool might be for you. See the README for more information.
Here’s to increased stability and maintainability in your Xcode projects!
🙏🏻 Enjoy the post? Please help support more like it by buying me a cup of coffee!.
💡 Suggestions, questions, comments? Please submit a PR!.


The optimal method to highlight information depends on the content and its context.
To highlight critical information that users absolutely must see when visiting a page, use an alert component. If users only need to see an alert once, you can make it dismissible, although you might want to include a way for users to reopen it. Do not make an alert dismissible if it is important for users see every time or if it is triggered by underlying data.
For dense sets of data, you can create summaries to highlight important points. To call out these points, use a key info component. They draw user attention, and then users can decide whether to dig into the underlying data or rely on the high-level understanding.
Statuses indicate a state or condition at a particular time and fall into four categories: info, success, warning, and danger. For example, a status can indicate that a submission is late, submitted, or awaiting approval.
Some statuses are crucial to user tasks, while others are no more important than other information on a page. If statuses are crucial to user tasks, use labels or status indicators. If not, use regular text. Err on the side of too few labels and status indicators; if you use too many, they become distracting and lose their ability to grab user attention.
If one status in an area is crucial, that does not mean all statuses are. For example, in a list of invoices with a mix of paid, unpaid, and overdue invoices, it's likely that only overdue invoices require status indicators because they are the only items that require immediate attention.
Use labels in a summary context. For example, you can place a label in a page summary.
Use status indicators inline to indicate that they are tied to specific pieces of data. For example, you can place a status indicator in a grid cell.
To communicate a message that a background process triggers, use a toast. Background processes include processes that users initiate and system processes that users need to be aware of. Since toasts contain information the user must see, the user must manually dismiss the toast - the toast will not automatically close.


Calcu
Pack
Three useful calculators packed into ONE app!
Sales Calculator
Tip Calculator
Discount Calculator
About Calcu Pack
Sales Tax
Price :
State:
Select State
Alabama - 4.00%
Alaska - 0.00%
Arizona - 6.6%
Arkansas - 6.00%
California - 6.25%
Colorado - 2.90%
Connecticut - 6.35%
Delaware - 0.00%
Florida - 6.00%
Georgia - 4.0%
Hawaii - 4.0%
Idaho - 6.0%
Illinois - 6.25%
Indiana - 7.0%
Iowa - 6.0%
Kansas - 6.30%
Kentucky - 6.0%
Louisiana - 4.0%
Maine - 5.0%
Maryland - 6.0%
Massachusetts - 6.25%
Michigan - 6.0%
Minnesota - 6.875%
Mississippi - 7.0%
Missouri - 4.225%
Montana - 0.00%
Nebraska - 5.50%
Nevada - 6.85%
New Hampshire - 0.00%
New Jersey - 7.0%
New Mexico - 5.125%
New York - 4.0%
North Carolina - 4.75%
North Dakota - 5.0%
Ohio - 5.50%
Oklahoma - 4.50%
Oregon - 0.00%
Pennsylvania - 6.0%
Rhode Island - 7.0%
South Carolina - 6.0%
South Dakota - 4.0%
Tennessee - 7.0%
Texas - 6.25%
Utah - 4.70%
Virginia - 4.0%
Washington - 6.50%
West Virginia - 6.0%
Wisconsin - 5.0%
Wyoming - 4.0%
Sales Tax %:
Calculate
Reset
Tip
Discount
Home
Sales Tax
OK
Tip Calculator
Bill Amount:
Gratuity:
Make Selection
10%
11%
12%
13%
14%
15%
16%
17%
18%
19%
20%
21%
22%
23%
24%
25%
26%
27%
28%
29%
30%
People:
1
2
3
4
5
6
7
8
Calculate
Reset
Sales
Discount
Home
Tip Stats
Ok
Error
This entry is not a number or fields are not complete!
-Only enter numbers.
-No letters or characters.
-Fill in both fields
Ok
About
Written by: Drew D. Lenhart
Version:
1.3.0
Support:
December 2015
Home
Discount Tax
Select Discount
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
55%
60%
65%
70%
75%
80%
85%
90%
95%
Original Price:
State:
Select State
Alabama - 4.00%
Alaska - 0.00%
Arizona - 6.6%
Arkansas - 6.00%
California - 6.25%
Colorado - 2.90%
Connecticut - 6.35%
Delaware - 0.00%
Florida - 6.00%
Georgia - 4.0%
Hawaii - 4.0%
Idaho - 6.0%
Illinois - 6.25%
Indiana - 7.0%
Iowa - 6.0%
Kansas - 6.30%
Kentucky - 6.0%
Louisiana - 4.0%
Maine - 5.0%
Maryland - 6.0%
Massachusetts - 6.25%
Michigan - 6.0%
Minnesota - 6.875%
Mississippi - 7.0%
Missouri - 4.225%
Montana - 0.00%
Nebraska - 5.50%
Nevada - 6.85%
New Hampshire - 0.00%
New Jersey - 7.0%
New Mexico - 5.125%
New York - 4.0%
North Carolina - 4.75%
North Dakota - 5.0%
Ohio - 5.50%
Oklahoma - 4.50%
Oregon - 0.00%
Pennsylvania - 6.0%
Rhode Island - 7.0%
South Carolina - 6.0%
South Dakota - 4.0%
Tennessee - 7.0%
Texas - 6.25%
Utah - 4.70%
Virginia - 4.0%
Washington - 6.50%
West Virginia - 6.0%
Wisconsin - 5.0%
Wyoming - 4.0%
Sales Tax %:
Calculate
Reset
Sales
Tip
Home
Discount Stats
OK


A progressive Node.js framework for building efficient and scalable server-side applications, heavily inspired by Angular.
This boilerplate is made to quickly prototype backend applications. It comes with authentication, logging, security, and database features out of the box.
brew
, choco
, or apt-get
. Note: Docker Desktop comes free on both Mac and Windows, but it only works with Windows 10 Pro. A workaround is to get Docker Toolbox which will bypass the Windows 10 Pro prerequisite by executing in a VM.
Create a .env file using the cp .env.example .env
command and replace the existing environment variables with personal configuration settings (username and password database).
Download dependencies using npm i
or yarn
Start the app in pre-production mode by using npm run start
or npm run start:dev
for development (the app will be exposed on the port 9000; not to conflict with React, Angular, or Vue)
# creates and loads the docker container in detached mode with the required configuration
$ docker-compose up -d
By default, the application comes with a config module that can read in every environment variable from the .env
file.
APP_ENV - the application environment to execute as, either in development or production. Determines the type of logging options to utilize. Options: dev
or prod
.
APP_URL - the base URL for the application. Made mainly to showcase the power of ConfigService
and can be removed as it doesn't serve any other purpose
WEBTOKEN_SECRET_KEY - the secret key to encrypt/decrypt web tokens with. Make sure to generate a random alphanumeric string for this.
WEBTOKEN_EXPIRATION_TIME - the time in seconds indicating when the web token will expire; by default, it's 2400 seconds which is 40 mins.
DB_TYPE - the type of database connection to use.
DB_USERNAME - username for authenticating against the database.
DB_PASSWORD - password for authenticating against the database, can be left empty if a password is not needed (not recommended).
DB_HOST - the endpoint where this database sits (usually localhost but can be a static address).
DB_PORT - default ports for different types of database connections.
DB_DATABASE - the actual database name to perform operations on.
This boilerplate comes with Fastify out of the box as it offers performance benefits over Express. But this can be changed to use Express framework instead of Fastify. Please proceed with the steps below to change between the two.
Fastify:
// to fastify:
import {
FastifyAdapter,
NestFastifyApplication,
} from '@nestjs/platform-fastify';
import * as headers from 'fastify-helmet';
import * as fastifyRateLimiter from 'fastify-rate-limit';
const app = await NestFactory.create<NestFastifyApplication>(
AppModule,
new FastifyAdapter({ logger: console }),
);
app.register(headers);
app.register(fastifyRateLimiter, {
max: 100,
timeWindow: '1 minute',
});
Express:
// to express:
import * as headers from 'helmet';
import * as rateLimiter from 'express-rate-limit';
const app = await NestFactory.create(AppModule, {
logger: console,
});
app.use(headers());
app.use(
rateLimiter({
windowMs: 60, // 1 minutes
max: 100, // limit each IP to 100 requests per windowMs
}),
);
Note: The boilerplate comes with production dependencies for both Express and Fastify to support moving between two. But this is going to leave it bloated especially when only one web framework is used at a time. Thus, it is recommended that when deploying to production, unused dependencies are purged.
If you choose to use Fastify, this command will purge all of the Express dependencies:
# removing Express dependencies
$ npm rm @nestjs/platform-express express-rate-limit helmet swagger-ui-express @types/express --save
If you choose to use Express, this command will purge all of the Fastify dependencies:
# removing Fastify dependencies
$ npm rm @nestjs/platform-fastify fastify-helmet fastify-rate-limit fastify-swagger --save
By default MYSQL/MariaDB are the database of choice but TypeORM supports other database types like SQLite, Postgres, MongoDB, and MSSQL. To use anything other than MYSQL/MariaDB, change the configuration in the .env
file, and download the corresponding wrapper library, like SQLite3 if necessary. Of course that is assuming a proper
setup of the database has been completed on a local machine.
Note: For MongoDB, TypeORM is not as feature-rich as Mongoose. Therefore I created another boilerplate only for Nest and Mongoose.
# unit tests
$ docker exec -it nest yarn test
# e2e tests
$ docker exec -it nest yarn test:e2e
# test coverage
$ docker exec -it nest yarn test:cov
# unit tests
$ npm run test
# e2e tests
$ npm run test:e2e
# test coverage
$ npm run test:cov
The documentation for this boilerplate can be found on Github pages.
The docs can be generated on-demand, simply, by typing npm run typedocs
. This will produce a docs folder with the required front-end files and start hosting on localhost.
# generate docs for code
$ npm run typedocs
Out of the box, the web app comes with Swagger; an open api specification, that is used to describe RESTful APIs. Nest provides a dedicated module to work with it.
The configuration for Swagger can be found at this location.
TypeORM is an object-relational mapping that acts as an abstraction layer over operations on databases. Please view the documentation for further details.
The configuration for TypeORM can be found in the app module.
This boilerplate comes with a Winston module for logging, the configurations for Winston can be found in the app module.
| Branches | Status |
|---|---|
| Master | ✅ |
| RXJS | 🚧 |
PR are appreciated, I fully rely on the goodness ❤ of the people. Nest is an MIT-licensed open source project with its ongoing development made possible thanks to the support by the community. This framework is a result of the long road, full of sleepless nights, working after hours, and busy weekends.
Nest is MIT licensed.


Both menu bar and submenu items can be marked as disabled by setting the disabled
property on
the item object. Disabled items are excluded from the keyboard navigation. Clicking disabled item does not
select it, and neither closes nor opens submenu.
When updating menu bar items
dynamically, including changing any property on the item object
corresponding to one of the menu bar buttons, call render()
method on the menu bar component
instance to recreate the buttons based on updated items.
Selected item:
Submenu items can be configured to show a selection checkmark using the checked
property.
This does not apply to menu bar buttons. Checked state is expected to be toggled by the user. You don't
have to call render()
after toggling checked property.
Note, the checkable
flag used in the example below is there just for the demo
and is not part of the items API.
Selected item:
Item objects corresponding to menu bar buttons support the component
property.
It accepts two different types of values:
Same API also applies to submenu. In addition, <hr>
component
can be used to create a separator between submenu items.
Selected item:


Object.finalize()
. Calling
Object.finalize()
explicitly is a bad idea, as it can result in objects being placed in an
inconsistent state.
This method is automatically called by the garbage collector on an object when it determines that there are no more references to the object.
Calls to super.finalize()
from within implementations of finalize()
are benign, and are not reported by this inspection.
Example:
MyObject m = new MyObject(); m.finalize(); System.gc()


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revIver: A Praise Reminder Web App
January 20, 2015 to March 3, 2015
(The Code Carrots Workshop had a format of 6 weekly meetings, each lasting 2-3 hours, concluding with a project demonstration day.)
Member of the workshop's Praise Reminder team (4 participants, 1 mentor) that created "revIver"—a web app that randomly selects praise previously entered and saved by logged in users.
Summary of contributions:
- I brought the idea to the workshop, whiteboarding my initial thoughts about the project to my group. Documented additional team-generated project scope (features and stretch goals, programming languages to use, etc.)
- Worked mostly on our CSS file and HTML files for the index, adding praise, editing praise, and deleting praise pages; pair programmed with one other team member both at weekly sessions and via JSFiddle; received input from back end focused team members on formatting choices and implemented suggestions.
- Worked on some basic Python to learn about Django templates and linking front end files to back end infrastructure.
- Used my prior project management experience in ensuring group communications were clear and up to date, secured a URL for the project for future use, and prepared the presentation slides for Demo Day.
- I kicked off the Demo Day presentation by discussing the whiteboarding process plus some aspects of the front end. Other members of our team discussed their project contributions, then we finished up with our project team's takeaways.


{% extends 'layout.html' %} {% block pageTitle %} All appraisals - NHS.UK prototype kit {% endblock %} {% block beforeContent %} {{ breadcrumb({ items: [ { href: "/dashboard", text: "Dashboard" }, { href: "/assessments", text: "Appraisals" }] }) }} {% endblock %} {% block content %}
| Date | Learner | Job role |
|---|---|---|
| {{ assessment.date | formatDate }} | {{ assessment.user_name }} | {{ assessment.job_role_name }} |
No upcoming appraisals found.
{% endif %}| Date | Learner | Job role | Outcome |
|---|---|---|---|
| {{ assessment.date | formatDate }} | {{ assessment.user_name }} | {{ assessment.job_role_name }} | {{ assessment.result }} |
No completed appraisals found.
{% endif %}


Height: 5'2 | Bust: 32B | Waist: 25 | Hips: 35 | Shoe: 6.5 | Dress: 0
Dance.
Kinetic Vogue Performer/Model [ Austin, TX ] Present
Flaunt Entertainment Performer/Model [ Los Angeles, CA ] 2019-2021
Nameless Nightclub Performer [ Los Angeles, CA ] 2019-2021
Minimal Effort NYE Performer [ Los Angeles, CA ] 2020
Groove Island Performer [ Catalina Island, CA ] 2019
Feral Dance Crew Performer/Model [ Portland, OR ] 2018
Whiskey Bar Performer [ Portland, OR ] 2016-2017
Mimosa (Dj) Performer [ Portland, OR ] 2016
Q Nightclub Performer [ Vancouver, WA ] 2014-2015
Juicy Performer [ Portland, OR ] 2014-2015
Spin Room Performer [ Portland, OR ] 2013-2014
Beatrox Performer [ Portland, OR ] 2013-2014
Model.
Austin Silent Disco Model [ Austin, TX ] Present
Je Suis Human Model [ Los Angeles, CA ] Present
Tickle My Fancy Model [ Missoula, MT ] 2021
Glorka Model [ Los Angeles, CA ] 2020
Unifier Entertainment Monarch Butterfly Model [ Dana Point, CA ] 2020
Unifier Entertainment Lamp Model [ San Francisco, CA ] 2019
Incognito Model [ Los Angeles, CA ] 2019
Corona Promotional Model | Portland, OR | 2018
O'Pearl Brands Model [ Portland, OR ] 2017
The Model Experience Runway Model [ Portland, OR ] 2017
Chinese New Years Fashion Show Runway Model [ Portland, OR ] 2015
The Edge of the World Fashion Show Runway Model [ Missoula, MT ] 2012


VIDEO: Awkward Mistakes Marvel Wishes It Could Undo
by L.D. NolanMarvel Studios pays lot of attention to detail when it comes to its movies. Although the franchise is absolutely momentous and has provided fans with some amazing moments, there are some things that Marvel Studios probably wishes it could undo or erase. We've compiled a list of twenty mistakes Marvel probably wishes it could erase from its films.
We're starting with one related to Iron Man 3, the title hero's last solo film before his death in Avengers: Endgame. The movie saw Tony Stark going up against the Mandarin, which had been teased since the very beginning of the Marvel Cinematic Universe. Well, at least the film pretended like it was going to. Instead, Iron Man 3's big twist revealed that the Mandarin wasn't actually in the movie and was, in fact, being impersonated by an actor. Marvel did backtrack, later releasing a video indicating the Mandarin was real, and the villain is set to play a role in the upcoming Shang-Chi film. However, the blunder is definitely one Marvel might want to undo, at least adding that later reference to the movie itself.
RELATED: Loki: How the Marvel Asgardian God Became Female
Check out the video below for more mistakes Marvel probably wishes it could undo.
Although there's still a lot of uncertainty surrounding the future of the MCU and various characters, Marvel Studios doesn't seem to be slowing down or aiming to stop anytime soon. The studio has a lot of different movies in the pipe as well as series on Disney+. The MCU will also get a lot bigger sooner rather than later, as Disney's merger with Fox gave Marvel Studios -- which is a subsidiary of the former -- the ability to use such illustrious characters as the Fantastic Four and X-Men.
RELATED: Unused Iron Man Concept Art Teases Tony Stark/Pepper Potts Romance
Let us know what you think, and check out many other thought-provoking videos on our YouTube channel! Don't forget to subscribe and click that bell for notifications of brand new content, posted every day!
Directed by Cate Shortland, Black Widow will be the next film in the Marvel Cinematic Universe. That film stars Scarlett Johansson, David Harbour, Florence Pugh, O-T Fagbenle and Rachel Weisz. The film arrives in theaters on May 1, 2020.
KEEP READING: Chadwick Boseman Wants Nothing To Do with a Marvel/Disney+ Series
https://schema.orgBreadcrumbListListItem1Homehttps://www.cbr.com/ListItem2Movieshttps://www.cbr.com/category/movies/ListItem3Movie Newshttps://www.cbr.com/category/movies/news-movies/ListItem4VIDEO: Awkward Mistakes Marvel Wishes It Could Undohttps://www.cbr.com/video-awkward-mistakes-marvel-undo/


Recipe 7.13. Generating a Dictionary Mapping Field Names to Column NumbersCredit: Thomas T. Jenkins ProblemYou want to access data fetched from a DB API cursor object, but you want to access the columns by field name, not by number. SolutionAccessing columns within a set of database-fetched rows by column index is not very readable, nor is it robust should columns ever get reordered in a rework of the database's schema (a rare event, but it does occasionally happen). This recipe exploits the description attribute of Python DB API's cursor objects to build a dictionary that maps column names to index values, so you can use cursor_row[field_dict[fieldname]] to get the value of a named column: def fields(cursor): """ Given a DB API 2.0 cursor object that has been executed, returns a dictionary that maps each field name to a column index, 0 and up. """ results = { } for column, desc in enumerate(cursor.description): results[desc[0]] = column return results DiscussionWhen you get a set of rows from a call to any of a cursor's various fetch . . . methods (fetchone, fetchmany, fetchall), it is often helpful to be able to access a specific column in a row by field name and not by column number. This recipe shows a function that takes a DB API 2.0 cursor object and returns a dictionary with column numbers keyed by field names. Here's a usage example (assuming you put this recipe's code in a module that you call dbutils.py somewhere on your Python sys.path). You must start with conn being a connection object for any DB API 2-compliant Python module. >>> c = conn.cursor( ) >>> c.execute('''select * from country_region_goal ... where crg_region_code is null''') >>> import pprint >>> pp = pprint.pprint >>> pp(c.description) (('CRG_ID', 4, None, None, 10, 0, 0), ('CRG_PROGRAM_ID', 4, None, None, 10, 0, 1), ('CRG_FISCAL_YEAR', 12, None, None, 4, 0, 1), ('CRG_REGION_CODE', 12, None, None, 3, 0, 1), ('CRG_COUNTRY_CODE', 12, None, None, 2, 0, 1), ('CRG_GOAL_CODE', 12, None, None, 2, 0, 1), ('CRG_FUNDING_AMOUNT', 8, None, None, 15, 0, 1)) >>> import dbutils >>> field_dict = dbutils.fields(c) >>> pp(field_dict) {'CRG_COUNTRY_CODE': 4, 'CRG_FISCAL_YEAR': 2, 'CRG_FUNDING_AMOUNT': 6, 'CRG_GOAL_CODE': 5, 'CRG_ID': 0, 'CRG_PROGRAM_ID': 1, 'CRG_REGION_CODE': 3} >>> row = c.fetchone( ) >>> pp(row) (45, 3, '2000', None, 'HR', '26', 48509.0) >>> ctry_code = row[field_dict['CRG_COUNTRY_CODE']] >>> print ctry_code HR >>> fund = row[field_dict['CRG_FUNDING_AMOUNT']] >>> print fund 48509.0 If you find accesses such as row[field_dict['CRG_COUNTRY_CODE']] to be still inelegant, you may want to get fancier and wrap the row as well as the dictionary of fields into an object allowing more elegant accessa simple example might be: class neater(object): def _ _init_ _(self, row, field_dict): self.r = row self.d = field_dict def _ _getattr_ _(self, name): try: return self.r[self.d[name]] except LookupError: raise AttributeError If this neater class was also in your dubtils module, you could then continue the preceding interactive snippet with, for example: >>> row = dbutils.neater(row, field_dict) >>> print row.CRG_FUNDING_AMOUNT 48509.0 However, if you're tempted by such fancier approaches, I suggest that, rather than rolling your own, you have a look at the dbtuple module showcased in Recipe 7.14. Reusing good, solid, proven code is a much smarter approach than writing your own infrastructure. See AlsoRecipe 7.14 for a slicker and more elaborate approach to a very similar task, facilitated by reusing the third-party dbtuple module. |


Lionel Messi to miss Barcelona’s Champions League tie against Inter Milan
by AFPBarcelona star Lionel Messi will not make the trip to Italy for Tuesday’s Champions League game against Inter Milan, the Spanish club confirmed on Monday. Barcelona are already through to the last 16 after six-time Ballon d’Or winner scored in a convincing 3-1 victory over Borussia Dortmund last time out.
The Spaniards are also sure of finishing top of Group F as they have 11 points from five games. Antonio Conte’s Inter still have to book their place in the last 16. They are second, level on seven points with Borussia Dortmund who host Slavia Prague.
Inter will qualify if the two clubs finish on the same number of points due to their superior head-to-head goal difference.
Read Comments


81-year-old law graduate lauds Lead City chancellor
by Ademola BabalolaAdemola Babalola
An 81-year-old law graduate of the Lead City University, Ibadan, Lt Col Layiwola Adegunju (retd), has commended the management of the institution for granting him the scholarship to complete his law degree, which he did recently.
In a chat with our correspondent, Adegunju said, “The management of the institution, including the Chancellor, Prof Babatunde Ogunmola; Prof Jide Owoeye and Emeritus Prof Bamidele Aladekomo, made it possible.
He said, “The reason is that they made Eduserve Consult, which has recorded remarkable achievements in promoting educational development at both the tertiary and non-tertiary levels especially in Ibadan, and supporting the needy in search of quality university education.”
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All rights reserved. This material, and other digital content on this website, may not be reproduced, published, broadcast, rewritten or redistributed in whole or in part without prior express written permission from PUNCH.
Contact: theeditor@punchng.com


COJ “Did You Know?” Social Media Campaign Overview:
Duration: January 2015 – 31 Days
Suggested Hashtags:
[#BenefitsOfLivingInTheCity #CityServices #CityFacts #JaxFacts]
Quick list of ideas:
### Demographics - Population – Jacksonville 9th largest City, pre Camp Lejeune population and current population ### Services - Police and fire response time. # of Calls for service each year - 18 parks info
- Can the Grease Initiative
- Community Officers/Policing
- City Water treatment(suggest photo of inside water plant)
- Council Composition, meeting dates
- CD Housing Initiatives
- Building Inspections
- Transportation Facts/ intelligent transportation system
- Sanitation- Recycling Fact
- Fire Services/Education
- Rec Youth Programs
- Senior Programs
- Sturgeon City
- Citizen Academy & Police Academy Offerings
Leadership Opportunities
- Advisory Board Opportunities
- Recreation Festivals
- Annual City Ceremonies
-
Streets Fact Utilities Maintenance Fact(number of lines and lift stations and what they do)
- Rec Centers
- Facilities Maintenance( #number of buildings services or energy efficiency facts)
- Stormwater Program
- Adopt A Programs
- Freedom Fountain, Landing or City Cemetery Facts
- Lejeune Memorial Gardens Facts
- Jacksonville Transit Facts
- After School Programs
- Youth Council
- Emergency Communitcations/ Connect CTY


Daycare employee called in for hearing for removing PM's picture
Education Minister orders daycare employee called in for hearing after she removed Netanyahu's picture from daycare center's wall.
by Arutz Sheva StaffEducation Minister Rafi Peretz (Jewish Home-National Union) has ordered that an employee at a publicly-funded daycare center be called in for a hearing, after she filmed herself removing a picture of Prime Minister Binyamin Netanyhau from the daycare center’s wall.
The employee later resigned her position, after footage of her removing the prime minister’s picture went viral on social media outlets.
“The employee’s actions in the video which was reported in the media are very serious,” said Peretz. “The Education Minister is working to locate her and call her in for a hearing.”
“The Prime Minister is Binyamin Netanyahu, and he needs to be treated with respect and honor, and we will not accept this kind of behavior at an educational institution, even if there is disagreement [with Netanyahu].”
The daycare employee who filmed herself removing Netanyahu’s picture said that following the Attorney General’s decision to indict the prime minister, Netanyahu could no longer serve as an example in an educational institution. She advised the prime minister to “go to court and clear your name, then I’ll put you back up.”


public class Player
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
private int |
energy |
private int |
food |
RoboticonQuest |
game |
(package private) java.util.ArrayList<LandPlot> |
landList |
private int |
money |
private int |
ore |
(package private) com.badlogic.gdx.utils.Array<Roboticon> |
roboticonList |
| Constructor and Description |
|---|
Player(RoboticonQuest game) |
| Modifier and Type | Method and Description |
|---|---|
(package private) void |
addLandPlot(LandPlot landPlot)
Add landplot to current user.
|
void |
applyResourceDelta(ResourceDelta resourceDelta) |
void |
applyResourceDeltaNegative(ResourceDelta resourceDelta) |
int |
calculateScore()
Returns the score of the player which is a combination of ore, energy and food.
|
(package private) Roboticon |
customiseRoboticon(Roboticon roboticon,
ResourceType type)
Apply roboticon customisation
|
void |
generateResources()
Generate resources produced from each LandPlot
|
int |
getEnergy() |
int |
getFood() |
java.util.ArrayList<LandPlot> |
getLandList()
Returns the array of plots owned by this player
|
int |
getMoney() |
int |
getOre() |
int |
getResource(ResourceType type)
Get the resource amount current player have.
|
com.badlogic.gdx.utils.Array<java.lang.String> |
getRoboticonAmountList()
Get a string list of roboticons available for the player.
|
com.badlogic.gdx.utils.Array<Roboticon> |
getRoboticons() |
void |
produceResources()
Get a landplot to produce resources
|
PurchaseStatus |
purchaseCustomisationFromMarket(ResourceType resource,
Roboticon roboticon,
Market market)
Purchase roboticon customisation from the market.
|
boolean |
purchaseLandPlot(LandPlot plot)
Player add a landplot to their inventory for gold
|
PurchaseStatus |
purchaseResourceFromMarket(int amount,
Market market,
ResourceType resource)
Action for player to purchase resources from the market.
|
PurchaseStatus |
purchaseRoboticonsFromMarket(int amount,
Market market)
Purchase roboticon from the market.
|
(package private) void |
removeLandPlot(LandPlot landPlot)
Remove the LandPlot from the user.
|
void |
sellResourceToMarket(int amount,
Market market,
ResourceType resource)
Action for player to sell resources to the market.
|
(package private) void |
setEnergy(int amount)
Set the amount of energy player has
|
(package private) void |
setFood(int amount)
Set the amount of food player has
|
void |
setGamblingMoney(int money) |
void |
setMoney(int money)
Set the amount of money player has
|
(package private) void |
setOre(int amount)
Set the amount of ore player has
|
void |
setResource(ResourceType resource,
int amount)
Set the resource amount current player have.
|
void |
takeTurn(int phase)
Method to be overloaded by AI inheritance
|
public RoboticonQuest game
com.badlogic.gdx.utils.Array<Roboticon> roboticonList
java.util.ArrayList<LandPlot> landList
private int money
private int ore
private int energy
private int food
public Player(RoboticonQuest game)
public int getMoney()
public void setMoney(int money)
money
- The amount of new moneypublic void setGamblingMoney(int money)
public int getOre()
void setOre(int amount)
if amount less than 0 then the amount is set to 0.
amount
- The new amount for ore.public int getEnergy()
void setEnergy(int amount)
if amount less than 0 then the amount is set to 0.
amount
- The new amount for energy.public int getFood()
void setFood(int amount)
if amount less than 0 then the amount is set to 0.
amount
- The new amount for food.public void setResource(ResourceType resource, int amount)
resource
- The ResourceType
amount
- The new amount.public int getResource(ResourceType type)
type
- The ResourceType
public PurchaseStatus purchaseRoboticonsFromMarket(int amount, Market market)
amount
- number of roboticons requestedmarket
- the market being purchased frompublic PurchaseStatus purchaseCustomisationFromMarket(ResourceType resource, Roboticon roboticon, Market market)
resource
- The resource type.roboticon
- The roboticon to be customised.market
- The market.public PurchaseStatus purchaseResourceFromMarket(int amount, Market market, ResourceType resource)
amount
- Amount of resources to purchase.market
- The market instance.resource
- The resource type.public void sellResourceToMarket(int amount, Market market, ResourceType resource)
amount
- Amount of resources to sell.market
- The market instance.resource
- The resource type.public boolean purchaseLandPlot(LandPlot plot)
plot
- The landplot to purchasepublic void produceResources()
Roboticon customiseRoboticon(Roboticon roboticon, ResourceType type)
roboticon
- The roboticon to be customisedtype
- The roboticon customisation type.void addLandPlot(LandPlot landPlot)
landPlot
- LandPlot to be bind to the user.
LandPlot.setOwner(this_user)
first.void removeLandPlot(LandPlot landPlot)
landPlot
- LandPlot to be removed from the user.
this_user
must be the current owner first.public com.badlogic.gdx.utils.Array<java.lang.String> getRoboticonAmountList()
public com.badlogic.gdx.utils.Array<Roboticon> getRoboticons()
public void generateResources()
public java.util.ArrayList<LandPlot> getLandList()
public int calculateScore()
public void takeTurn(int phase)
public void applyResourceDelta(ResourceDelta resourceDelta)
public void applyResourceDeltaNegative(ResourceDelta resourceDelta)


Documentation for the Code¶
scanLevel¶
-
scanLevel.
assign_datasource_values
(label_img, field_template_dict, template_args_dict, base_label, infields_list, label_template_string, label_template_variables, str1, str2)[source]¶ This function sets up the strings and dictionaries that are then used to create the appropriate Nipype DataGrabber.
Parameters: - label_img – label_img
- field_template_dict – Dictionary of strings for template
- template_args_dict – Dictionary of variable arguments for templates
- base_label – base_label
- infields_list – infields_list
- label_template_string – label_template_string
- label_template_variables – label_template_variables
- str1 – str1
- str2 – str2
-
scanLevel.
printOptions
(opts, subject_ids, session_ids, task_ids)[source]¶ Print basic options input by user
Parameters: - opts – User-defined options.
- subject_ids – Subject IDs
- session_ids – Session variable IDs
- task_ids – Task variable IDs
-
scanLevel.
run_scan_level
(opts, args)[source]¶ This is the main function for setting up and then running the scanLevel analysis. It first uses <preinfosource> to identify which scans exist for the which combination of task, session, and subject IDs. This is stored in <valid_args>, which is then passed to inforsource. Infosource iterates over the valid subjects and uses DataGrabber to find the input files for each of these subjects. Depdning on the user-options defined in <opts>, for each scan PET-T1 co-registration, partial-volume correction, tracer kinetic analysis and results reporting are performed.
Parameters: - opts (argparser) – User-defined options
- args (list) – List of subjects
Returns int: Return code 0 == success
-
scanLevel.
set_datasource_inputs
(opts)[source]¶ Setup data source based on user-options.
Parameters: opts – User-defined options :type opts: argparser Returns: infields_list, base_outputs, base_label, base_transforms, base_images, template_args_dict, field_template_dict, pvc_template_string, tka_template_string, results_template_string
-
scanLevel.
set_label_parameters
(level, var, ext)[source]¶ Set the label_string and label_variables for the datasource
Parameters: - level (String) – <level> equals “atlas” if a filepath is given, otherwise uses BIDS label-string
- var (String) – String variable name for image type
- ext (String) – File Extension
Returns [label_string, label_variables]: List with two elements: string used to identify image, a list of variables that are used to “fill-in” label_string
Initialization¶
-
class
Initialization.initialization.
MincHdrInfoRunning
(*args, **kwargs)[source]¶ -
input_spec
¶ alias of
MincHdrInfoInput
-
output_spec
¶ alias of
MincHdrInfoOutput
-
-
class
Initialization.initialization.
PETexcludeFrRunning
(*args, **kwargs)[source]¶ -
input_spec
¶ alias of
PETexcludeFrInput
-
output_spec
¶ alias of
PETexcludeFrOutput
-
-
class
Initialization.initialization.
SplitArgsRunning
(*args, **kwargs)[source]¶ -
input_spec
¶ alias of
SplitArgsInput
-
output_spec
¶ alias of
SplitArgsOutput
-
-
class
Initialization.initialization.
VolCenteringRunning
(*args, **kwargs)[source]¶ -
input_spec
¶ alias of
VolCenteringInput
-
output_spec
¶ alias of
VolCenteringOutput
-
-
class
Initialization.initialization.
get_stepCommand
(*args, **kwargs)[source]¶ -
input_spec
¶ alias of
get_stepInput
-
output_spec
¶ alias of
get_stepOutput
-
-
Initialization.initialization.
get_workflow
(name, infosource, datasink, opts)[source]¶ - Nipype workflow that initializes the PET images by
- Centering the PET image: petCenter
- Exlcude start and end frames: petExcludeFr
- Average 4D PET image into 3D image: petVolume
- Extract information from header
Parameters: - name – Name of workflow
- infosource – Infosource for basic variables like subject id (sid) and condition id (cid)
- datasink – Node in which output data is sent
- opts – User options
Returns: workflow
Masking¶
-
class
Masking.masking.
Labels
(*args, **kwargs)[source]¶ -
input_spec
¶ alias of
LabelsInput
-
output_spec
¶ alias of
LabelsOutput
-
-
class
Masking.masking.
PETheadMasking
(*args, **kwargs)[source]¶ -
input_spec
¶ alias of
PETheadMaskingInput
-
output_spec
¶ alias of
PETheadMaskingOutput
-
-
Masking.masking.
get_workflow
(name, infosource, datasink, opts)[source]¶ Create workflow to produce labeled images.
- Invert T1 Native to MNI 152 transformation
- Transform
- Transform headmask from MNI 152 to T1 native
- Transform brainmask from MNI 152 to T1 native
- Create PVC labeled image
- Create quantification labeled image
- Create results labeled image
Parameters: - name – Name for workflow
- infosource – Infosource for basic variables like subject id (sid) and condition id (cid)
- datasink – Node in which output data is sent
- opts – User options
Returns: workflow
Registration¶
-
class
Registration.registration.
PETtoT1LinRegRunning
(*args, **kwargs)[source]¶ -
input_spec
¶ alias of
PETtoT1LinRegInput
-
output_spec
¶ alias of
PETtoT1LinRegOutput
-
-
Registration.registration.
get_workflow
(name, infosource, opts)[source]¶ Create workflow to perform PET to T1 co-registration.
- PET to T1 coregistration with brain masks
- PET to T1 coregistration without brain masks (OPTIONAL)
- Transform T1 MRI brainmask and headmask from MNI 152 to T1 native
- Resample 4d PET image to T1 space
- Resample 4d PET image to MNI 152 space
Parameters: - name – Name for workflow
- infosource – Infosource for basic variables like subject id (sid) and condition id (cid)
- datasink – Node in which output data is sent
- opts – User options
Returns: workflow
-
class
Registration.registration.
nLinRegRunning
(*args, **kwargs)[source]¶ -
input_spec
¶ alias of
nLinRegInput
-
output_spec
¶ alias of
nLinRegOutput
-
PVC¶
-
class
Partial_Volume_Correction.pvc.
idSURFCommand
(*args, **kwargs)[source]¶ -
input_spec
¶ alias of
idSURFInput
-
output_spec
¶ alias of
idSURFOutput
-
-
class
Partial_Volume_Correction.pvc.
petpvcCommand
(*args, **kwargs)[source]¶ -
input_spec
¶ alias of
petpvcInput
-
output_spec
¶ alias of
petpvcOutput
-
Quantification¶
-
class
Tracer_Kinetic.tka.
createImgFromROI
(*args, **kwargs)[source]¶ -
input_spec
¶ alias of
createImgFromROIInput
-
output_spec
¶ alias of
createImgFromROIOutput
-
-
Tracer_Kinetic.tka.
get_tka_workflow
(name, opts)[source]¶ Nipype workflow that to perform PET quanfication. Requires conversion of PET file and reference region mask to ECAT. Turku PET Centre tools are used to perform quantification. Finally, ECAT images are converted back to MINC.
Parameters: - name – Name of workflow
- infosource – Infosource for basic variables like subject id (sid) and condition id (cid)
- datasink – Node in which output data is sent
- opts – User options
Returns: workflow
-
Tracer_Kinetic.tka.
reference_methods
= ['pp-roi', 'pp', 'lp-roi', 'lp', 'srtm', 'suvr']¶


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