Automatic Trash Bin
For my final project, I plan to make an automatic trash bin which flips open when a person is near the trash bin using a ultrasonic sensor, with a design of Calcifer for the lid; one of the characters in an animation movie called "Howl's Moving Castle". I would like to have the bin light up after the trash has been thrown and the lid closed.
Research
Here are the references I have used for this project; the first one being the main one while the other is less referenced:
- How To Make An Automatic Object Sensing Smart Dustbin - DIY Project
For the lights, I plan on using two neopixel strips that would light up after the lid of the trash bin has closed. These will be placed on the inside of the trash bin.
Rough Sketch
Here is what the final prototype will look like, note that the measurements and specifications might change along the way.
Here are a list of the components and materials I will be using:
Process: Lasercutting the Base, Cover Lid and Body
Using the User Parameters, I set out fixed values for each of the dimensions such as the width, height and length of each component. I also set such values for the finger joints so that it is easier for me to change the value whenever I want. For my prototype, I set the thickeness to 5mm but 3mm is also thick enough.
To work more efficiently, sketch out for one side with all the dimensions in place and from there extrude it out.  After extruding the side to the thickness you want- in my case it is 5mm- under "Construct", select the "Midplane" option. You want to select the planes where the midplane will be at. After that use the mirror tool under "Create" and choose the midplane as well as the components you want to copy across. After that use the combine tool to cut away intersecting parts.
To prepare it for lasercutting, we need to create sketches of each component by clicking on the face and then on "create sketch". Export all the faces as dxf files. Since I'm familiar with Adobe Illustrator, I used that to layout my pieces on one artboard. Make sure to position them properly so that you don't take too much space. After that I sent it for lasercutting and engraving.
Process: 3D Printing the Hinge
After creating the hinge part in fusion 360, I just exported it as a stl file before importing it in Ultimaker Cura to convert it into a gcode that is readable by the 3D printer. Below is how it looks like in preview.
Here is how it looks like after printing. It took only 15 minutes.
Here is how my Trash Bin Model looks like on Fusion 360:
Process: Coding
I used the code from the libraries provided by Neopixel Adafruit and the ones already installed in the Arduino IDE. I just edited it down to the parts I wanted. Here are the steps I want my prototype to carry out:
- Trigger Servo Motor to position at an angle of 80 degrees
- Wait for 3 seconds
- Neopixels strip light up red, orange, yellow
- Neopixels strip turn off
- Servo Motor returns to original position
I used TinkerCAD to help simulate the code. Below is how I set up my components, though for the final one I added some more jumper wires to give me flexibility in the placement of my Ultrasonic Sensor on the trash bin.
Here is the code I used:
Assembly
To lift the lid up, I used 1 paper clip to act as an extension of the servo motor arm and shaped it like a triangle to increase its contact surface area. Below is a close-up picture of how I did it:
I connected the hinge part to the box by gluing it to the cover lid and then poking two holes into the sides of the protruding part of the box. I then used another paper clip to connect the hinge to the box. I had to shave down the back of the protruding part as I needed space for the lid to be able to rotate.
I then used blutack to place the Ultrasonic Sensor on the front of the bin.
Hero Shots
Here is my Final Project Presentation Slide:
Here is my Final Project Video:
Reflection
Initially, I had wanted to go for a more cylindrical trash bin but I was not confident in constructing it in Fusion 360.
I made the decision to try making it hexagonal instead but as I tried constructing it, I underestimated its difficulty as I forgot about how it would all come together with the sides all at an angle. Below is the attempt at making a hexagonal box instead:
I also learnt the hard way of being careless with taking out the plastic material in the hinge part. As I was using a flat screwdriver to dig it out, I had used too much force and it cause a cut on my finger. I should have been more careful, especially in trying to handle something tiny as the hinge part.
Although the final project is a success, I still do think I could have organised my components better as it is quite messy. Overall, I am very content with my final project :D


Get the first three chapters of Discover Electron (Introduction, Setting Things Up, Your First App) by joining the email newsletter.
I will never send you spam. Unsubscribe at any time.


inner ventral expression genes tepals dorsal flower communis (Figure outer gene symmetry dianthifolia floral tepal analyses DEF bilateral pallida communis, evolution file late symmetrical tepals, Plant biological development early TCP flowers stamens {border-style Additional dorsolateral Commelina Sci organ organs px;} #ffffff;} Commelinaceae core stamen B-class TB-like TBa expressed species versus bilaterally class monocots GLO identity significantly stage DEF-like However, data homeotic similar stages staminodes using monocot situ whorl DNA hybridization radial radially role showing tepal; Bayesian Furthermore, Proc USA abaxial developmental dianthifolia, higher Acad Biol Natl Tradescantia changes difference function likelihood mid pallida, species, zygomorphy (for Antirrhinum Bot CYC Hileman Luo asymmetry control development, distinct eudicots example, majus petal px; qRT-PCR replicates revealed second sequences undetectable used whorls {font-family ./pnas. Cell Floral Preston TBb Zingiberales analysis asymmetric asymmetrically bootstrap contrast, font-size previously proteins suggest surface transcription (.-fold Arabidopsis Figure MADS Phylogenetic androecium; bars, clade contrast detected determine different double; evidence evolved genomic independently inflorescence maximum multiple orchid perianth phylogeny posterior related replicate sequence shifts sister stomata strongly studies suggests support surfaces test transcripts Chen Development Evolution Flower MADS-box Maximum Nature Physiol Poaceae RNA Thus, absent adaxial angiosperms based border-color border-width carried conducted denote described detectable development. dissected dorsoventral duplication eudicot genes, genetic gynoecia implicated independent inferred large largely low micromorphological modification order orthologs parallel pattern phylogenetic recruitment reduced region reverse solid; standard symmetry. tepal-like {font-style {font-weight (SD (second ./S-()- ./dev. ./j.-...x APETALA Asterisks CA, CYC/TB CYCLOIDEA Conservation Dev Donoghue H). Hardy Int Methods Molecular New REP SEM SEPALLATA Theissen Trends USA) University Wang Yang angiosperm bold clades convergent courier; designed differences differentiation domain em; establishing eudicots, evolutionary factors families flowers, flowers. generated growth hypothesized including internal long loss material mature model morphology organs. organs; panel). patterns petals primers protein pt;} quantitative relationships relative replicates. sections shape significant similarly stamens. staminodes, type whorls,


Structures
The following structures are available globally.
-
Creates a generator for the specified RawValue type.
See moreDeclaration
Swift
public struct RawRepresentableGenerator<RawValue, Representable> : IteratorProtocol where RawValue == Representable.RawValue, Representable : RawRepresentable
-
Properties a BorderView has.
See moreDeclaration
Swift
public struct BorderViewProperties
-
Undocumented
See moreDeclaration
Swift
struct AnchoredConstraints
-
Represents a color that takes place ina gradient that can be applied to a view. It has a UIColor and a location which indicates where that color should be placed in the gradient.
See moreDeclaration
Swift
public struct GradientColor
-
Represents a gradient that can be applied to a view. It can have many colors distributed in many ways and directions.
See moreNote
There can only be one gradient at a time in a view.Declaration
Swift
public struct ViewGradient
-
ConfirmationAlertViewModel models a
See moreUIAlertController
that can be confirmed or dismissed.Declaration
Swift
public struct ConfirmationAlertViewModel
-
ErrorAlertViewModel models a
See moreUIAlertController
used to report and error alert.Declaration
Swift
public struct ErrorAlertViewModel


Invalid Email
Password must contain 1 uppercase letter, 1 lowercase letter and 1 number
Confirm Password:
Password previously used


Download 2 The Pc Engine Software Bible
Roms Pc Engine Nec Pc Engine Planet Emulation
Pc Engine Fan Special Cd Rom Vol 2 Tokumashoten Intermedia Free Download Borrow And Streaming Internet Archive
Turbografx Cd And Pc Engine Cd Rom Champion Collection 2 0 Free Download Borrow And Streaming Internet Archive
Video Game Den Pcエンジン Pc Engine Turbografx Cdrom Reviews
My Pc Engine Cd Rom Library Retro Video Gaming
Nec Pc Engine Cd Rom2 System And Turbografx Cd 2016 Reference Collection Redump Validated Roms Free Download Borrow And Streaming Internet Archive
Pc Engine Download 1 2 Set Nec Hucard Cd Rom Ebay
Download Roms Of Pc Engine Cd Turbografx Cd Pack 1
Download Hardcore Gaming 101
Gekkan Pc Engine 01 January 1993 Turboplay Magazine Archives
Download 2 From Nec Avenue Pc Engine Cd Rom
Bios Super Cd Rom System Japan V3 0 Rom Tg16 Roms Emuparadise
Pce Cd Rom2 Rom Download
Pce Cd Super Raiden Rom Emulator Download Appnee Freeware Group
Download 2 Hardcore Gaming 101
Wonder Momo Japan Pc Engine Turbografx 16 Rom Download Wowroms Com
Nec Turbografx 16 Cd Pc Engine Cd Roms Games And Isos To Download For Emulation
Print Your Own Stuff Tg 16 Com
Digital Download Nec Pc Engine Tg 16 128gb Retropie Microsd 816 Games Preloaded Raspberry Pi 3b 3b Retromini Store
Super Pc Engine Fan Deluxe Special Cd Rom Vol 2 Tokumashoten Intermedia Free Download Borrow And Streaming Internet Archive
Pc Engine Emulator How To Run Cd Rom Iso Files Youtube
Bios Turbografx Cd Super System Card Usa V3 0 Rom Tg16 Roms Emuparadise
ヤフオク Pce ダウンロード の落札相場 落札価格
Pc Engine Cd Rom Ogg Iso Download Chocolatesupport
Nec Pc Engine Turbografx 16 2020 10 22 Romset Download Cdromance


Ocean [ax70], ocean, in Crystal Sea
Last updated Turn #124
Ocean [ax70], ocean, in Crystal Sea
------------------------------------------------------------------------
22: Pleasure Sloop [v5n], ship, 30 hulls, 1 rowing port, 90 sails, arrived
22: from Ocean [aw70], owner:
22: Dorothy [v1b], Pen, with 40 soldiers, 94 sailors, accompanied by:
22: Cindy [z1c], Pen, with 18 peasants, one worker, 65 soldiers,
22: two skirmishers
23: Pleasure Sloop [v5n], ship, 30 hulls, 1 rowing port, 90 sails,
23: departed for Ocean [aw70].
Routes leaving Ocean:
North, to Ocean [aw70], 6 days
East, to Ocean [ax71], 6 days
South, to Ocean [ay70], 6 days
West, to Ocean [ax69], 6 days
Inner locations:
Island [ab9c], island, 1 day, owner:
Cyclops [du9t], cyclops, number: 16
Giant spider [dk9m], giant spiders, number: 14


Uses of Package
opennlp.tools.parser
-
Packages that use opennlp.tools.parser Package Description opennlp.tools.cmdline.parser opennlp.tools.formats Experimental package related to converting various corpora to OpenNLP Format.opennlp.tools.formats.convert opennlp.tools.formats.frenchtreebank opennlp.tools.formats.ontonotes opennlp.tools.parser Package containing common code for performing full syntactic parsing.opennlp.tools.parser.chunking Package containing code for performing full syntactic parsing using shift/reduce-style decisions.opennlp.tools.parser.lang.en opennlp.tools.parser.lang.es opennlp.tools.parser.treeinsert Package containing experimental code for performing full syntactic parsing using attachment decisions. -
Classes in opennlp.tools.parser used by opennlp.tools.cmdline.parser Class Description Parse Data structure for holding parse constituents.Parser Interface for full-syntactic parsers.ParserModel This is an abstract base class forParserModel
implementations. -
Classes in opennlp.tools.parser used by opennlp.tools.formats Class Description Parse Data structure for holding parse constituents. -
Classes in opennlp.tools.parser used by opennlp.tools.formats.convert Class Description Parse Data structure for holding parse constituents. -
Classes in opennlp.tools.parser used by opennlp.tools.formats.frenchtreebank Class Description Parse Data structure for holding parse constituents. -
Classes in opennlp.tools.parser used by opennlp.tools.formats.ontonotes Class Description Parse Data structure for holding parse constituents. -
Classes in opennlp.tools.parser used by opennlp.tools.parser Class Description Cons Class to hold feature information about a specific parse node.Constituent Class used to hold constituents when reading parses.GapLabeler Interface for labeling nodes which contain traces so that these traces can be predicted by the parser.HeadRules Interface for encoding the head rules associated with parsing.Parse Data structure for holding parse constituents.Parser Interface for full-syntactic parsers.ParserEvaluationMonitor ParserEventTypeEnum Enumerated type of event types for the parser.ParserModel This is an abstract base class forParserModel
implementations.ParserType -
Classes in opennlp.tools.parser used by opennlp.tools.parser.chunking Class Description AbstractBottomUpParser Abstract class which contains code to tag and chunk parses for bottom up parsing and leaves implementation of advancing parses and completing parses to extend class.AbstractContextGenerator Abstract class containing many of the methods used to generate contexts for parsing.AbstractParserEventStream Abstract class extended by parser event streams which perform tagging and chunking.HeadRules Interface for encoding the head rules associated with parsing.Parse Data structure for holding parse constituents.Parser Interface for full-syntactic parsers.ParserEventTypeEnum Enumerated type of event types for the parser.ParserModel This is an abstract base class forParserModel
implementations. -
Classes in opennlp.tools.parser used by opennlp.tools.parser.lang.en Class Description Constituent Class used to hold constituents when reading parses.GapLabeler Interface for labeling nodes which contain traces so that these traces can be predicted by the parser.HeadRules Interface for encoding the head rules associated with parsing.Parse Data structure for holding parse constituents. -
Classes in opennlp.tools.parser used by opennlp.tools.parser.lang.es Class Description Constituent Class used to hold constituents when reading parses.GapLabeler Interface for labeling nodes which contain traces so that these traces can be predicted by the parser.HeadRules Interface for encoding the head rules associated with parsing.Parse Data structure for holding parse constituents. -
Classes in opennlp.tools.parser used by opennlp.tools.parser.treeinsert Class Description AbstractBottomUpParser Abstract class which contains code to tag and chunk parses for bottom up parsing and leaves implementation of advancing parses and completing parses to extend class.AbstractContextGenerator Abstract class containing many of the methods used to generate contexts for parsing.AbstractParserEventStream Abstract class extended by parser event streams which perform tagging and chunking.HeadRules Interface for encoding the head rules associated with parsing.Parse Data structure for holding parse constituents.Parser Interface for full-syntactic parsers.ParserEventTypeEnum Enumerated type of event types for the parser.ParserModel This is an abstract base class forParserModel
implementations.


This is an index of all examples demonstrating library class usage and how they can be combined.
The following example pages shows how to show an application install link to a user as well as the redirect page code to accept a Shopify callback to get the OAuth access token.


Business Cards || Login
Business Cards
Email ID
Password
First Name
Last Name
Email ID
Mobile No.
Password


|
| Local Properties | ||
| Managed Object Types | Data Object Types | All Properties | All Methods |
An instance of this class is used to tell OvfManager about the choices the caller made about a file. This information is needed when the OVF descriptor is generated with createDescriptor.
Properties
| Name | Type | Description |
|---|---|---|
| capacity* | xsd:long |
The capacity of the disk backed by this file. This should only be set if the
device backed by this file is a disk. This value will be written in the
"capacity" attribute of the corresponding "Disk" element in the OVF descriptor.
Note that the "capacity" attribute is normally set to the capacity of the corresponding VirtualDisk. Setting this variable overrides the capacity from the VirtualDisk. Since vSphere API 4.1 |
| chunkSize* | xsd:long |
The chunksize chosen by the caller.
When using chunking, the caller must adhere to the method described in the OVF
specification.
|
| compressionMethod* | xsd:string |
The compression method the caller chose to employ for this file.
|
| deviceId | xsd:string |
The ID of the device backed by this file. This ID uniquely identifies the
device within the entity hierarchy.
The caller will have received this along with the URL needed to download the
file (this is handled by another service interface).
|
| path | xsd:string |
The path chosen by the caller for this file. This path becomes the value of the
"href" attribute of the corresponding "File" element in the OVF descriptor.
This path must be relative to the path chosen for the OVF descriptor. This implies that the caller must decide in advance on the path to which it will write the OVF descriptor, once it is returned. The folder separator must be "/" (forward slash).
The path must not begin with a slash - ie. it must not be an absolute path.
|
| populatedSize* | xsd:long |
The populated size of the disk backed by this file. This should only be set if
the device backed by this file is a disk. This value will be written in the
"populatedSize" attribute of the corresponding "Disk" element in the OVF
descriptor.
Since vSphere API 4.1 |
| size | xsd:long |
The file size, as observed by the caller during download.
|
| Properties inherited from DynamicData | ||
| None |
| Top of page | Local Properties | ||
| Managed Object Types | Data Object Types | All Properties | All Methods |


textarea elements are not in SwiftClick's dictionary by default, so will behave with 300ms delay.
workarounds for elements such as textarea should be implemented seperately from SwiftClick if necessary, as some platforms have obscure bugs, but SwiftClick was designed to be lightweight and target basic element types. See the readme for more details.


--- layout: work-post title: Katie Simone permalink: katie-simone.html ---
Katie Simone is a Vocalist from Pittsburgh, PA. Her website enables fans stay up to date on show dates and news. View Website


Make a change
Stop
Point1
Point2
Fist
Grab
Make a change
Feel free to change any action in any state, it's all yours.


Class Material
A material with red, green, blue, alpha, and metallic factor components.
Inheritance
Implements
Inherited Members
Namespace: Elements
Assembly: Hypar.Elements.dll
Syntax
public class Material : IIdentifiable
Constructors
Material(Guid, String, Color, Single, Single, Boolean)
Construct a material.
Declaration
[JsonConstructor]
public Material(Guid id, string name, Color color, float specularFactor = 0.1F, float glossinessFactor = 0.1F, bool doubleSided = false)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Guid | id | The unique identifier of the material. |
| System.String | name | The identifier of the material. Identifiers should be unique within a model. |
| Color | color | The RGBA color of the material. |
| System.Single | specularFactor | The specular component of the color. Between 0.0 and 1.0. |
| System.Single | glossinessFactor | The glossiness component of the color. Between 0.0 and 1.0. |
| System.Boolean | doubleSided | Is the material double sided? |
Exceptions
| Type | Condition |
|---|---|
| System.ArgumentOutOfRangeException | Thrown when the specular or glossiness value is less than 0.0. |
| System.ArgumentOutOfRangeException | Thrown when the specular or glossiness value is greater than 1.0. |
Material(String)
Construct a material.
Declaration
public Material(string name)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | name |
Material(String, Color, Single, Single, Boolean)
Construct a material.
Declaration
public Material(string name, Color color, float specularFactor = 0.1F, float glossinessFactor = 0.1F, bool doubleSided = false)
Parameters
| Type | Name | Description |
|---|---|---|
| System.String | name | The identifier of the material. Identifiers should be unique within a model. |
| Color | color | The RGBA color of the material. |
| System.Single | specularFactor | The specular component of the color. Between 0.0 and 1.0. |
| System.Single | glossinessFactor | The glossiness component of the color. Between 0.0 and 1.0. |
| System.Boolean | doubleSided | Is the material double sided? |
Exceptions
| Type | Condition |
|---|---|
| System.ArgumentOutOfRangeException | Thrown when the specular or glossiness value is less than 0.0. |
| System.ArgumentOutOfRangeException | Thrown when the specular or glossiness value is greater than 1.0. |
Properties
Color
The RGBA color of the material.
Declaration
public Color Color { get; }
Property Value
| Type | Description |
|---|---|
| Color |
DoubleSided
Is the material double sided?
Declaration
public bool DoubleSided { get; }
Property Value
| Type | Description |
|---|---|
| System.Boolean |
GlossinessFactor
The glossiness factor.
Declaration
public float GlossinessFactor { get; }
Property Value
| Type | Description |
|---|---|
| System.Single |
Id
The unique identifier of the material.
Declaration
public Guid Id { get; }
Property Value
| Type | Description |
|---|---|
| System.Guid |
Name
The name of the material.
Declaration
public string Name { get; }
Property Value
| Type | Description |
|---|---|
| System.String |
SpecularFactor
The specular factor.
Declaration
public float SpecularFactor { get; }
Property Value
| Type | Description |
|---|---|
| System.Single |
Methods
Equals(Object)
Is this material equal to the provided material?
Declaration
public override bool Equals(object obj)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Object | obj |
Returns
| Type | Description |
|---|---|
| System.Boolean |
Overrides
GetHashCode()
Get the hash code for the material.
Declaration
public override int GetHashCode()
Returns
| Type | Description |
|---|---|
| System.Int32 |


About
Services
Reviews
Login
Book us Now
Create an Account
Already have an account? Login
First Name
Last Name
Email
Service Address
Address
City, State
Zip Code
Home
Apartment
Condo
Cell Phone Number
How did you hear about us!
Select all that apply
Agree to the terms and conditions
By clicking this button, I agree to Cesta's terms & conditions and cancellation policy.
Enter Payment Information
Cardholder's Name*
Credit Card Number*
Expiration Date*
Security Code*
Billing Zip Code*
Billing Address*
Billing City/State
Create Account


The first 4 lines in a ENDF file contain information on identification, version,
and some general properties of the file. Additionally, the next 5 lines may contain
some more information, although these lines are not strictly required by the format.
The showheaders
command prints these values and text data.
showheaders
header: ZA 2.705900e+04 header: AWR 5.842690e+01 header: AWI 1.000000e+00 header: NLIB 0 library identifier header: LREL 0 release number header: NVER 8 version number header: NSUB 10 sublibrary number header: NMOD 0 modification number header: LDRV 0 0: primary evaluation, 1: derived header: NFOR 6 library format header: LRP 1 -1: no MF2, 0: no resonances, 1: resolved and/or unresolved, 2: PENDF header: LFI 0 0: no fission, 1: fission header: EMAX 2.000000e+07 upper limit energy header: TEMP 0.000000e+00 temperature header: ELIS 0.000000e+00 excitation energy of target header: STA 0.000000e+00 0: stable, 1: unstable header: LIS 0 state number of target header: LISO 0 isomeric state number [0---+----1----+----2----+----3----+----4----+----5----+----6----+-] [ 27-Co- 59 LANL,ORNL EVAL-JAN16 T.Kawano,G.Desaussure+ ] [ DIST- ] [----ENDF/B-VIII.0 MATERIAL 2725 ] [-----INCIDENT NEUTRON DATA ] [------ENDF-6 FORMAT ]
The text data in the last 5 lines can be extracted by
the showheadertext
command. This command works only if the header
section contains these lines, namely the header is given in a standard form.
showheadertext
ZSYMAM: 27-Co- 59 ALAB:LANL,ORNL AUTH:T.Kawano,G.Desaussure+ REFER: EDATE:EVAL-JAN16 DDATE:DIST- RDATE: ENDATE: LIBNAME:ENDF/B-VIII.0 SUBLIB:INCIDENT NEUTRON DATA FORMAT:ENDF-6 FORMAT
To change an individual parameter in the header section,
use editheader
followed by the parameter name and value.
editheader ParameterName Value
The parameter names are NLIB, LREL, NVER, NSUB, NMOD, LDRV, NFOR, LRP, LFI, EMAX, TEMP, ELIS, STA, LIS, and LISO. See ENDF-6 manual for the meaning. ZA, AWR, and AWI are not allowed to change. When the version number NVER is set to 10,
editheader NVER 10
Similar to editheader
, the text filed data in the 5
optional lines can be modified by the editheadertext
command. Again, this command works only if the header section is in
the standard form.
editheadertext TextName "Value"
where the allowed text names are ZSMYAM, ALAB, AUTH, REFER, EDATE, DDATE, RDATE, ENDATE, LIBNAME, SUBLIB, and FORMAT. The value must be given in the double-quotations. When a given text is longer than the defined field length, the extra letters will be cut. When the given text is shorter, blank padding will be made.
To change the laboratory name,
editheadertext ALAB "LANL"


WARNING: This is a very early release, only a handful of HPGL commands are supported.
See README
for a list.
Demo
mm
mm
Travel width and height define machine travel size.
It's used to get a sense of the scale of your HPGL file compared to your machine
(on Roland DXY 990 it's 416x259mm, nearly a landscape A3 sheet).


Why?
Decompose. Factor. Envision simpler problems ... then solve those.
... and so I wrote this shell program, and it's 54 lines ... including comments.
-- William Baxter
We solve problems with elegance and concision. We factor complex problems into their simple parts.
Surely there exists an un-simple problem, we've just yet to meet it.
What is Simple?
Readibility is simple.
Clarity is simple.
Comments are simple.
Usage strings are simple.
Brevity.


{% if brigade.tags %} {% if 'Brigade' in brigade.tags and 'Official' in brigade.tags %} {{ brigade.name }} is an official Code for America Brigade in {{ brigade.city }} working on projects with government and community partners to improve people’s lives. {% elif 'Brigade' in brigade.tags and not 'Official' in brigade.tags %} {{ brigade.name }} is a group of volunteers in {{ brigade.city }} working on projects with government and community partners to improve people's lives. {% elif 'Government' in brigade.tags %} {{ brigade.name }} is a government organization in {{ brigade.city }}. {% endif %} {% endif %}
{% if brigade.events_url and 'meetup.com' in brigade.events_url %} Meetup {% endif %} {% if brigade.social_profiles and brigade.social_profiles.twitter %} {{ brigade.social_profiles.twitter }} {% endif %} {% if brigade.social_profiles and brigade.social_profiles.facebook %} Facebook {% endif %} {% if brigade.projects_list_url and 'github.com' in brigade.projects_list_url %} Github {% endif %}
Interested in attending an event with {{ brigade.name }}?
{{ project.description | truncate(120) }}
{% endif %}


Leagues allow the organization of teams and games into a league. The team can
setup their own team information on top of the league, so the public details
in the league are only the results of the games and their locations. The
league can control and setup official results, also allowing the teams to
record their own results during games.
Features
- Official results and team results
- League controlled game time/place details
- Team controlled additional information and roster details
- Team win records and ranking
- Older season details for comparison


Hi, I'm Nicolas Pettican
Also known as Nick Pettican.
I lead, innovate and build stuff.
My software projects range from data-collection, AI chatbots to mobile and web apps. Today, I focus primarily on managing projects and crafting software for data integration tools while architecting and operating on AWS and Heroku. Moreover, I also work in the charity sector tackling homelessness and poverty with SPIN, and helping to enable education online with Paramita Institute.
My roots are in Healthcare, Technology, Science and Business. Alumni of the School of Biological Sciences, Computer Science and Business School from The University of Manchester .
Currently working as Head of Development at MADANA, leading the development of bespoke and innovative software products via SCRUM while supporting the business development and strategy.
When I'm not on the job you will either find me immersed in a paperback book, meditating, doing charity work or savouring a nice tea.
Most of my time outside of work is taken up by my projects, but I'm open to new opportunities as I highly value networking.
Get in touch
My Background
- MADANA
- Head of Development, Product Management
- Unique Insights
- Head of Development, Product Management
- Havas Lynx
- Research Executive, Strategy and Planning
- University of Manchester
- Master of Science, Bioinformatics and Systems Biology
- Manchester Students Union
- Chair and Committee Executive, Bioinformatics Society and FLS Society
- University of Manchester
- Bachelor of Science, Biotechnology with Enterprise
Some of my works
- Chatbots
- Dharma Bot
- SEO Auditing
- Sherlock algorithm
- Web Development
- React, Node, JAM stack
- Social Media Automation
- Instabot & S.M.A.R.T.


For Finial Project, I created a keychain holder using CAD, a.k.a. Computer-aided Design, and 3D printing.
The inspiration for this project was that I had a lot of keys back home. I often lost my keys. This inspired me to create a little object which I can stick on the wall to keep all my keys at one place.
However, as a boarder at Reserve I do not have a lot of keys with me, therefore, for a complete demonstration and utilization of this keychain holder, I made two graphic keychains using Coreldraw, which involved graphic design, as part of this project; I used sublimation dye transfer to print the graphs onto two semi-gloss white square keychains.
I designed a green and black logo in Coreldraw and I editted a picture of Aaron Donald, a defensive tackle for the LA Rams. I made both images' size 5"x5" so that they would fit the size of the semi-gloss keychain.
Then, I printed out both images on a sheet of paper, and I taped the blank keychains with the images.
I set the heat platen to 400 degrees and I pressed the keychains for 1 minute and 15 seconds. After heat-pressing the keychains, I let the dye cool down for about five minutes.
Here is the final product of this project.


Excuse me.  Right. Yeah, I think maybe you do.
Um, well it's a delorean, right? Yeah okay. Wow, ah Red, you look great. Everything looks great. 1:24, I still got time. Oh my god. No, no not again, c'mon, c'mon. Hey. Libyans. Yeah, well uh, lets keep this brain melting stuff to ourselves, okay? Yeah, yeah what are you wearing, Dave.


|
QuantLib: a free/open-source library for quantitative finance
Fully annotated sources - version 1.30
|
#include <ql/processes/jointstochasticprocess.hpp>
Classes | |
| struct | CachingKey |
Public Member Functions | |
| JointStochasticProcess (std::vector< ext::shared_ptr< StochasticProcess > > l, Size factors=Null< Size >()) | |
| Size | size () const override |
| returns the number of dimensions of the stochastic process More... | |
| Size | factors () const override |
| returns the number of independent factors of the process More... | |
| Array | initialValues () const override |
| returns the initial values of the state variables More... | |
| Array | drift (Time t, const Array &x) const override |
| returns the drift part of the equation, i.e., \( \mu(t, \mathrm{x}_t) \) More... | |
| Array | expectation (Time t0, const Array &x0, Time dt) const override |
| Matrix | diffusion (Time t, const Array &x) const override |
| returns the diffusion part of the equation, i.e. \( \sigma(t, \mathrm{x}_t) \) More... | |
| Matrix | covariance (Time t0, const Array &x0, Time dt) const override |
| Matrix | stdDeviation (Time t0, const Array &x0, Time dt) const override |
| Array | apply (const Array &x0, const Array &dx) const override |
| Array | evolve (Time t0, const Array &x0, Time dt, const Array &dw) const override |
| virtual void | preEvolve (Time t0, const Array &x0, Time dt, const Array &dw) const =0 |
| virtual Array | postEvolve (Time t0, const Array &x0, Time dt, const Array &dw, const Array &y0) const =0 |
| virtual DiscountFactor | numeraire (Time t, const Array &x) const =0 |
| virtual bool | correlationIsStateDependent () const =0 |
| virtual Matrix | crossModelCorrelation (Time t0, const Array &x0) const =0 |
| const std::vector< ext::shared_ptr< StochasticProcess > > & | constituents () const |
| void | update () override |
| Time | time (const Date &date) const override |
| Public Member Functions inherited from StochasticProcess | |
| ~StochasticProcess () override=default | |
| void | update () override |
| Public Member Functions inherited from Observer | |
| Observer ()=default | |
| Observer (const Observer &) | |
| Observer & | operator= (const Observer &) |
| virtual | ~Observer () |
| std::pair< iterator, bool > | registerWith (const ext::shared_ptr< Observable > &) |
| void | registerWithObservables (const ext::shared_ptr< Observer > &) |
| Size | unregisterWith (const ext::shared_ptr< Observable > &) |
| void | unregisterWithAll () |
| virtual void | update ()=0 |
| virtual void | deepUpdate () |
| Public Member Functions inherited from Observable | |
| Observable () | |
| Observable (const Observable &) | |
| Observable & | operator= (const Observable &) |
| virtual | ~Observable ()=default |
| void | notifyObservers () |
Protected Member Functions | |
| Array | slice (const Array &x, Size i) const |
| Protected Member Functions inherited from StochasticProcess | |
| StochasticProcess ()=default | |
| StochasticProcess (ext::shared_ptr< discretization >) | |
Protected Attributes | |
| std::vector< ext::shared_ptr< StochasticProcess > > | l_ |
| Protected Attributes inherited from StochasticProcess | |
| ext::shared_ptr< discretization > | discretization_ |
Private Types | |
| typedef std::vector< ext::shared_ptr< StochasticProcess > >::const_iterator | const_iterator |
| typedef std::vector< ext::shared_ptr< StochasticProcess > >::iterator | iterator |
Private Attributes | |
| Size | size_ = 0 |
| Size | factors_ |
| Size | modelFactors_ = 0 |
| std::vector< Size > | vsize_ |
| std::vector< Size > | vfactors_ |
| std::map< CachingKey, Matrix > | correlationCache_ |
Additional Inherited Members | |
| Public Types inherited from Observer | |
| typedef set_type::iterator | iterator |
Definition at line 34 of file jointstochasticprocess.hpp.
|
private |
Definition at line 76 of file jointstochasticprocess.hpp.
|
private |
Definition at line 79 of file jointstochasticprocess.hpp.
| JointStochasticProcess | ( | std::vector< ext::shared_ptr< StochasticProcess > > | l, |
| Size | factors = Null<Size>() |
||
| ) |
|
overridevirtual |
returns the number of dimensions of the stochastic process
Implements StochasticProcess.
Definition at line 60 of file jointstochasticprocess.cpp.
|
overridevirtual |
returns the number of independent factors of the process
Reimplemented from StochasticProcess.
Definition at line 64 of file jointstochasticprocess.cpp.
|
overridevirtual |
returns the initial values of the state variables
Implements StochasticProcess.
Definition at line 77 of file jointstochasticprocess.cpp.
returns the drift part of the equation, i.e., \( \mu(t, \mathrm{x}_t) \)
Implements StochasticProcess.
Definition at line 91 of file jointstochasticprocess.cpp.
returns the expectation \( E(\mathrm{x}_{t_0 + \Delta t} | \mathrm{x}_{t_0} = \mathrm{x}_0) \) of the process after a time interval \( \Delta t \) according to the given discretization. This method can be overridden in derived classes which want to hard-code a particular discretization.
Reimplemented from StochasticProcess.
Definition at line 106 of file jointstochasticprocess.cpp.
returns the diffusion part of the equation, i.e. \( \sigma(t, \mathrm{x}_t) \)
Implements StochasticProcess.
Definition at line 123 of file jointstochasticprocess.cpp.
returns the covariance \( V(\mathrm{x}_{t_0 + \Delta t} | \mathrm{x}_{t_0} = \mathrm{x}_0) \) of the process after a time interval \( \Delta t \) according to the given discretization. This method can be overridden in derived classes which want to hard-code a particular discretization.
Reimplemented from StochasticProcess.
Definition at line 130 of file jointstochasticprocess.cpp.
returns the standard deviation \( S(\mathrm{x}_{t_0 + \Delta t} | \mathrm{x}_{t_0} = \mathrm{x}_0) \) of the process after a time interval \( \Delta t \) according to the given discretization. This method can be overridden in derived classes which want to hard-code a particular discretization.
Reimplemented from StochasticProcess.
Definition at line 164 of file jointstochasticprocess.cpp.
applies a change to the asset value. By default, it returns \( \mathrm{x} + \Delta \mathrm{x} \).
Reimplemented from StochasticProcess.
Definition at line 171 of file jointstochasticprocess.cpp.
returns the asset value after a time interval \( \Delta t \) according to the given discretization. By default, it returns
\[ E(\mathrm{x}_0,t_0,\Delta t) + S(\mathrm{x}_0,t_0,\Delta t) \cdot \Delta \mathrm{w} \]
where \( E \) is the expectation and \( S \) the standard deviation.
Reimplemented from StochasticProcess.
Definition at line 185 of file jointstochasticprocess.cpp.
|
pure virtual |
|
pure virtual |
|
pure virtual |
| const std::vector< ext::shared_ptr< StochasticProcess > > & constituents | ( | ) | const |
Definition at line 294 of file jointstochasticprocess.cpp.
|
overridevirtual |
This method must be implemented in derived classes. An instance of Observer does not call this method directly: instead, it will be called by the observables the instance registered with when they need to notify any changes.
Implements Observer.
Definition at line 304 of file jointstochasticprocess.cpp.
returns the time value corresponding to the given date in the reference system of the stochastic process.
Reimplemented from StochasticProcess.
Definition at line 298 of file jointstochasticprocess.cpp.
Definition at line 68 of file jointstochasticprocess.cpp.
|
protected |
Definition at line 70 of file jointstochasticprocess.hpp.
|
private |
Definition at line 81 of file jointstochasticprocess.hpp.
|
private |
Definition at line 81 of file jointstochasticprocess.hpp.
|
private |
Definition at line 81 of file jointstochasticprocess.hpp.
|
private |
Definition at line 82 of file jointstochasticprocess.hpp.
|
private |
Definition at line 82 of file jointstochasticprocess.hpp.
|
mutableprivate |
Definition at line 96 of file jointstochasticprocess.hpp.


{% extends 'moj_template/base.html' %} {% load staticfiles %} {% block content %}
This is the description of the case encoded as the following CSV data:
{{ csv }}{% endif %} {% if outcome %}
(1) Age is defaulted to 25 if date of birth information is not recorded.)
(2) "n/a" means that either the information is not recorded, or is not specific.
(3) Refers to whether a finding of guilt was made at that court appearance. For example, for an individual convicted at the magistrates’ court, but sent for sentence at the Crown Court, there would be a 0 in the guilty field for the Crown Court record.
(4) Refers to whether a sentence was given at that court appearance. For example, for an individual convicted at the magistrates’ court, but sent for sentence at the Crown Court, there would be a 0 in the sentence field for the magistrates record.
{% else %}This CSV line doesn't correspond to a valid outcome
{% endif %}


Title of the Website
Text Paragraph when writing default text
beer
vodka
Whisky
link to google
Hello Button


--- title: Page not found permalink: /404 ---
Sorry about that, it seems there's something missing. Please continue to the homepage.


NYU Introduction to Python
Monday, Febuary 5th
Middle School Dance Rules Apply
Macs sit with Macs
PCs sit with PCs
Agenda
- Welcome
- Introductions
- Norms
- Walkthrough the Syllabus
- Markdown Activity
- Enviornment Set Up
- Advice for Learning How to Code
What We Will Accomplish by the End of Class
You will have your environment set up to write code in Python3, written code in markdown, made your first commit on GitHub, made your first pull request, helped create the norms for our class and get to know each other.
Introductions
- Name
- Brief one sentance bio
- Favorite movie
Teaching Style
What should I expect from each class?
Class Norms
What do we expect from this class?
What topics will we cover?
Markdown Activity
We'll use code to introduce ourselves further
Step 1
Let's set up our GitHub profiles
Step 2
Fork the repository
Step 3
Add a file called your_name.md
Step 4
Check out how I did mine and the markdown resources
Step 6
Submit a pull request
Getting our Enviornment Set Up
We'll be spending some time in class setting up our environment to make sure we have what we need
Advice on Learning How to Code
Feel free to ask any questions on how to learn how to code
Next Class
We'll focus on the command line.
Question?
Should we Set Up a Slack?
How to Contact Me
Email is best.
<EMAIL_ADDRESS><EMAIL_ADDRESS>301 704 1328


@* * Copyright 2023 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import uk.gov.hmrc.fhregistrationfrontend.config.AppConfig @import uk.gov.hmrc.govukfrontend.views.html.components._ @import uk.gov.hmrc.fhregistrationfrontend.views.ViewHelpers @import uk.gov.hmrc.fhregistrationfrontend.views.html.helpers.SaveForLater @import uk.gov.hmrc.fhregistrationfrontend.forms.navigation.Navigation @import uk.gov.hmrc.fhregistrationfrontend.forms.definitions.BusinessPartnersAddressForm._ @import uk.gov.hmrc.fhregistrationfrontend.forms.models.UkAddressLookup @import uk.gov.hmrc.fhregistrationfrontend.views.businessPartners.v2.BusinessPartnersHeader @import uk.gov.hmrc.fhregistrationfrontend.controllers.routes._ @this(layout: layout, viewHelpers: ViewHelpers, button: components.button, textInput: components.text_field, formHelper: FormWithCSRF ) @(businessPartnersAddressForm: Form[UkAddressLookup], partnerName: String)(implicit request: Request[_], messages: Messages, appConfig: AppConfig) @pageScripts = { } @titlePrefix = @{ if (businessPartnersAddressForm.hasErrors) Messages("fh.generic.errorPrefix") + " " else "" } @layout(title = messages("fh.business_partners_address.title"), backUrl = None, isBrowserBackMimic = true){ @Html(BusinessPartnersHeader(messages("fh.business_partners_address.heading", partnerName))) @if(businessPartnersAddressForm.errors.nonEmpty) { @viewHelpers.govukErrorSummary(ErrorSummary(errorList = Seq(ErrorLink( href = Some(s"#${businessPartnersAddressForm.errors.head.key}"), content = Text(messages( s"fh.${businessPartnersAddressForm.errors.head.key}.${businessPartnersAddressForm.errors.head.message}" )) )), title = Text(messages("fh.generic.error")) )) } @formHelper(action = BusinessPartnerAddressController.next()){ @textInput( form = businessPartnersAddressForm, legendContent = messages("fh.business_partners_address.caption"), hintText = Some(messages("fh.business_partners_address.hint")), inputKey = addressLineKey, id = addressLineKey, classes = "govuk-!-width-two-thirds" ) @textInput( form = businessPartnersAddressForm, legendContent = messages("fh.business_partners_address.postcode.caption"), inputKey = postcodeKey, id = postcodeKey, classes = "govuk-!-width-one-third" )
@viewHelpers.govukButton(Button(content = Text(messages("fh.business.partners.find.address.button")), inputType = Some("submit"))) } @SaveForLater() }


All logging in OpenEJB is done using the openejb.base/conf/logging.properties file. When you download and extract OpenEJB, you will not find this file under the openejb.base/conf directory. However, when you start the server, this file magically appears. So what does this give you as a user of OpenEJB? Here are some of the benefits: 1. You do not have to author a logging.properties from scratch. You get one with sensible defaults. 1. If you did modify the default file, and you wanted to revert back to the default file generated by OpenEJB, all you have to do is 1. # Delete or rename the file e.g. rename it to logging.properties.BAK . 1. # Restart the server
OpenEJB will find that the logging.properties file is missing from the openejb.base/conf directory and it will automatically create a new one with the default configuration. The good thing is that if you modify the logging.properties file, OpenEJB will *NOT* over-write it.
The default logging configuration created by OpenEJB uses RollingFileAppender's. The log files are located under the openejb.base/logs directory. By default it writes to just two files , openejb.log and transaction.log
The org.apache.openejb.util.Logger class is the one which is used for logging. This class is a wrapper around log4.
Each Logger instance belongs to a category represented by a org.apache.openejb.util.LogCategory instance. Here is what the LogCategory class looks like
public final class LogCategory {
private final String name;
public static final LogCategory OPENEJB = new LogCategory( "OpenEJB");
public static final LogCategory OPENEJB_ADMIN = OPENEJB.createChild("admin");
public static final LogCategory OPENEJB_STARTUP = OPENEJB.createChild("startup");
public static final LogCategory OPENEJB_STARTUP_CONFIG = OPENEJB_STARTUP.createChild("config");
public static final LogCategory OPENEJB_STARTUP_VALIDATION = OPENEJB_STARTUP.createChild("validation");
// other categories removed for code brevity
private LogCategory(String name){
this.name = name;
}
public String getName() {
return name;
}
/**
* Creates a child category of this category. <B>Use this method sparingly</B>. This method is to be used in only those circumstances where the name of the
* category is not known upfront and is a derived name. If you know the name of the category, it is highly recommended to add a static final field
* of type LogCategory in this class
* @param child
* @return - LogCategory
*/
public LogCategory createChild(String child){
return new LogCategory(this.name+"."+child);
}
}
Notice carefully how each LogCategory instance is created. The objective here is that each LogCategory should be a child of the OPENEJB category. If you need to add a new category and you know the name of the category upfront, simply open the LogCategory class and add another category. For example, if you needed to add a category named SHUTDOWN, here is the recommended way to add it
public static final LogCategory OPENEJB_SHUTDOWN = LogCategory.OPENEJB.createChild("shutdown");
Sometimes you may want to create a category whose name is "generated" at runtime. In that case you can use the "createChild" method of the LogCategory class to create this new category. For example, if you wanted to create a category of Logger for every deployed module, then assuming you have the moduleId information you could do something as follows to create a category:
String moduleId = "mymodule";
LogCategory generatedCategory = LogCategory.OPENEJB.createChild(moduleId);
The preference is to externalize all logging messages in properties file. Typically each package should have a file called Messages.properties. This file should have all the keys and the corresponding messages. Here are the steps you would follow to log a message: * For each message you need to log, you would open the Messages.properties file in the corresponding package and add a key-value pair for the message. For example, if you were authoring a class called org.apache.openejb.util.Connect, then you would add a key-value pair to the Messages.properties file located in the org.apache.openejb.util package.
Using the package name
Logger logger = Logger.getInstance (LogCategory.OPENEJB,
"org.apache.openejb.util");
Using the Class
Logger logger = Logger.getInsance(LogCategory.OPENEJB, Connect.class);
Get a child Logger for an existing Logger instance
Logger logger = Logger.getInsance(LogCategory.OPENEJB, Connect.class);
Logger child = logger.getChildLogger("shutdown");
Get a child Logger of an existing Logger using a LogCategory
LogCategory childCategory = LogCategory.OPENEJB.createChild("shutdown");
Logger logger = Logger.getInstance(childCategory,Connect.class);
Logger logger = Logger.getInstance(LogCategory.OPENEJB,Connect.class); logger.info("error.file");
The Messages.properties file under org.apache.openejb.util must have the "error.file" key in it with the corresponding message.
Another interesting feature of the Logging framework is inheritance. Here is how it works:
Say you have the following Messages.properties files in the classpath. 1. org/apache/openejb/Messages.properties 1. org/apache/openejb/core/Messages.properties 1. org/apache/openejb/core/stateless/Messages.properties
Then you have a class such as org.apache.openejb.core.stateless.StatelessContainer (+note the package+) If that class referenced a message key "classNotFound" for example, the Logger would look for the message first in Messages.properties 3, then 2, then 1 and so on until it found the required message. This would allow better reuse of messages, more flexibility in where we put the Message.properties files, as well as the added bonus in that we no longer need to pass in the location of where our Message.properties file is
If you want to embed OpenEJB in your application and need to control the logging configuration of OpenEJB, simple set the openejb.logger.external system property to true. Now, its your applications' responsibility to configure logging, OpenEJB will simply use your configuration.
There has been a long discussion for this logging idea. Its going to be worth it to read the discussion at i18n and logging
+Here is a extract from an email from David Blevins which talks about the existing logging framework. The current framework is more or less the same as this one, just some added features and a rewrite of the API+
Each module has a file called default.logging.conf. This file contains the definition of all Loggers, their appenders and warning levels. However, we do not use default.logging.conf first. The basic idea is that first we look for say conf/logging.conf in the openejb.base directory. If we don't find it there, we look for default.logging.conf in the classpath. If we did find default.logging.conf (which we should) and there is an openejb.base/conf/ directory then expand the default.logging.conf to openejb.base/conf/logging.conf where we expected to find the file in the first place. If there was no openejb.base/conf/ directory, then it's safe to assume we're running embedded (in a test case perhaps) and just use the default.logging.conf and do no extra work.
We have default.logging.conf which we use this way as well as default.openejb.conf and now more recently users.properties and groups.properties. We search on disk for the resource in openejb.base/conf/ if we don't find them we unpack the default one we stuffed in openejb-core jar and extract it to disk in the openejb.base/conf directory if there is one -- if there isn't one we just use the default file.
The basic ideas behind the pattern are that: 1. If you've messed up your configuration, just delete or rename the respective files in your conf/ directory and new (working) ones will magically appear. 2. When upgrading its nice that our zip file won't overwrite any existing files in conf/ 3. If you're running embedded you don't have to setup any directories or have any config files, we can run on defaults.
The ConfUtils.getConfResource utility to do that pattern generically , but so far we're only using it for the users.properties and groups.properties files. We should be using it everywhere. Having the code in multiple places has lead to some inconsistencies such as we expand the default.openejb.conf file to conf/openejb.xml (not even the same file extension). We really don't need the "default" part in our file names and the lingering usage of the "conf" file extension is something that needs to go bye-bye -- we should use properties for properties files and xml for xml files, etc.


New Recommendation
Current Recommendations
Reform Topic
*
Problem Statement
*
Recommended Solution
*
Submitter Category
*
Last Name
*
First Name
*
Middle Initial
Work Phone
*
Military Email
*
Organization
*
Save
Cancel
×


---
layout: default-en
title: Codemotion Spain - Call for volunteers
---
{% include menu-en.html active="c4p" topbarClass="fixed" %}
Codemotion is organized by a handful of volunteers, and when the day comes there should be a lot of us to assume all that is coming:
On the other hand, there are also a lot of advantages:
If the idea looks attractive, click the big blue button:Why volunteer at Codemotion?
These are the communities that you will meet at the event.
Missing your community? Ask for an invitation here


Introduction
Welcome to the Kittn API! You can use our API to access Kittn API endpoints, which can get information on various cats, kittens, and breeds in our database.
We have language bindings in Shell, Ruby, and Python! You can view code examples in the dark area to the right, and you can switch the programming language of the examples with the tabs in the top right.
This example API documentation page was created with Slate. Feel free to edit it and use it as a base for your own API's documentation.
Authentication
To authorize, use this code:
require 'kittn'
api = Kittn::APIClient.authorize!('meowmeowmeow')
import kittn
api = kittn.authorize('meowmeowmeow')
# With shell, you can just pass the correct header with each request
curl "api_endpoint_here"
-H "Authorization: meowmeowmeow"
import { kittn } from 'kittn';
const api = kittn.authorize('meowmeowmeow');
Make sure to replace
meowmeowmeow
with your API key.
Kittn uses API keys to allow access to the API. You can register a new Kittn API key at our developer portal.
Kittn expects for the API key to be included in all API requests to the server in a header that looks like the following:
Authorization: meowmeowmeow
Kittens
Get All Kittens
require 'kittn'
api = Kittn::APIClient.authorize!('meowmeowmeow')
api.kittens.get
import kittn
api = kittn.authorize('meowmeowmeow')
api.kittens.get()
curl "https://example.com/api/kittens"
-H "Authorization: meowmeowmeow"
import { kittn } from 'kittn';
const api = kittn.authorize('meowmeowmeow');
const kittens = api.kittens.get();
The above command returns JSON structured like this:
[
{
"id": 1,
"name": "Fluffums",
"breed": "calico",
"fluffiness": 6,
"cuteness": 7
},
{
"id": 2,
"name": "Max",
"breed": "unknown",
"fluffiness": 5,
"cuteness": 10
}
]
This endpoint retrieves all kittens.
HTTP Request
GET https://example.com/api/kittens
Query Parameters
| Parameter | Default | Description |
|---|---|---|
| include_cats | false | If set to true, the result will also include cats. |
| available | true | If set to false, the result will include kittens that have already been adopted. |
Get a Specific Kitten
require 'kittn'
api = Kittn::APIClient.authorize!('meowmeowmeow')
api.kittens.get(2)
import kittn
api = kittn.authorize('meowmeowmeow')
api.kittens.get(2)
curl "https://example.com/api/kittens/2"
-H "Authorization: meowmeowmeow"
import { kittn } from 'kittn';
const api = kittn.authorize('meowmeowmeow');
const max = api.kittens.get(2);
The above command returns JSON structured like this:
{
"id": 2,
"name": "Max",
"breed": "unknown",
"fluffiness": 5,
"cuteness": 10
}
This endpoint retrieves a specific kitten.
HTTP Request (with ID)
GET https://example.com/kittens/<ID>
URL Parameters
| Parameter | Description |
|---|---|
| ID | The ID of the kitten to retrieve |
Errors
The Kittn API uses the following error codes:
| Error Code | Meaning |
|---|---|
| 400 | Bad Request -- The request could not be understood by the server due to malformed syntax. |
| 401 | Unauthorized -- Your API key is wrong. |
| 403 | Forbidden -- The kitten requested is hidden for administrators only. |
| 404 | Not Found -- The specified kitten could not be found. |
| 405 | Method Not Allowed -- You tried to access a kitten with an invalid method. |
| 406 | Not Acceptable -- You requested a format that isn't JSON. |
| 410 | Gone -- The kitten requested has been removed from our servers. |
| 418 | I'm a teapot. |
| 429 | Too Many Requests -- You're requesting too many kittens! Slow down! |
| 500 | Internal Server Error -- We had a problem with our server. Try again later. |
| 503 | Service Unavailable -- We're temporarily offline for maintenance. Please try again later. |


R is a programming language for statistical computing, and data wrangling. It is open-source, widely used in data science, has a wide range of functions and algorithms for graphing and data analyses.
Variables are assigned usually using the <-
operator. The =
operator also works in a similar way for most part.
x <- 4
x = 4
x
## [1] 4
The commonly used arithmetic operators are shown below returning a number.
x <- 4
y <- 2
# add
x + y
# subtract
x - y
# multiply
x * y
# divide
x / y
# modulus
x %% y
# power
x ^ y
## [1] 6
## [1] 2
## [1] 8
## [1] 2
## [1] 0
## [1] 16
Logical operators return a logical TRUE
or FALSE
.
# equal to?
x == y
# not equal to?
x != y
# greater than?
x > y
# less than?
x < y
# greater than or equal to?
x >= y
# less than or equal to?
x <= y
## [1] FALSE
## [1] TRUE
## [1] TRUE
## [1] FALSE
## [1] TRUE
## [1] FALSE
class(1)
class("hello")
class(T)
## [1] "numeric"
## [1] "character"
## [1] "logical"
x <- c(2,3,4,5,6)
y <- c("a","c","d","e")
z <- factor(c("a","c","d","e"))
class(z)
## [1] "factor"
x <- matrix(c(2,3,4,5,6,7),nrow=3,ncol=2)
class(x)
str(x)
## [1] "matrix"
## num [1:3, 1:2] 2 3 4 5 6 7
dfr <- data.frame(x = 1:3, y = c("a", "b", "c"))
print(dfr)
## x y
## 1 1 a
## 2 2 b
## 3 3 c
class(dfr)
## [1] "data.frame"
str(dfr)
## 'data.frame': 3 obs. of 2 variables:
## $ x: int 1 2 3
## $ y: Factor w/ 3 levels "a","b","c": 1 2 3
Vectors positions can be accessed using []
. R follows 1-based indexing.
x <- c(2,3,4,5,6)
x
x[2]
## [1] 2 3 4 5 6
## [1] 3
Dataframe or matrix positions can be accessed using []
specifying row and column like [row,column]
.
dfr <- data.frame(x = 1:3, y = c("a", "b", "c"))
dfr
dfr[1,]
dfr[,1]
dfr[2,2]
## x y
## 1 1 a
## 2 2 b
## 3 3 c
## x y
## 1 1 a
## [1] 1 2 3
## [1] b
## Levels: a b c
# generate 10 random numbers between 1 and 200
x <- sample(x=1:200,10)
x
# length
length(x)
# sum
sum(x)
# mean
mean(x)
# median
median(x)
# min
min(x)
# log
log(x)
# exponent
exp(x)
# square-root
sqrt(x)
# round
round(x)
# sort
sort(x)
## [1] 23 65 155 143 62 141 181 99 139 49
## [1] 10
## [1] 1057
## [1] 105.7
## [1] 119
## [1] 23
## [1] 3.135494 4.174387 5.043425 4.962845 4.127134 4.948760 5.198497
## [8] 4.595120 4.934474 3.891820
## [1] 9.744803e+09 1.694889e+28 2.068448e+67 1.270899e+62 8.438357e+26
## [6] 1.719974e+61 4.048566e+78 9.889030e+42 2.327732e+60 1.907347e+21
## [1] 4.795832 8.062258 12.449900 11.958261 7.874008 11.874342 13.453624
## [8] 9.949874 11.789826 7.000000
## [1] 23 65 155 143 62 141 181 99 139 49
## [1] 23 49 62 65 99 139 141 143 155 181
Some useful string functions.
a <- "sunny"
b <- "day"
# join
paste(a, b)
# find a pattern
grep("sun", a)
# number of characters
nchar("sunny")
# to uppercase
toupper("sunny")
# to lowercase
tolower("SUNNY")
# replace pattern
sub("sun", "fun", "sunny")
# substring
substr("sunny", start=1, stop=3)
## [1] "sunny day"
## [1] 1
## [1] 5
## [1] "SUNNY"
## [1] "sunny"
## [1] "funny"
## [1] "sun"
Some general functions
print("hello")
print("world")
cat("hello")
cat(" world")
cat("\nhello\nworld")
## [1] "hello"
## [1] "world"
## hello world
## hello
## world
Two strings can be joined together using paste()
.
a <- "sunny"
b <- "day"
paste(a, b)
paste(a, b, sep="-")
## [1] "sunny day"
## [1] "sunny-day"
The function c()
is used to concatenate objects.
a <- "sunny"
b <- "day"
c(a,b)
## [1] "sunny" "day"
The function cbind()
is used to join two dataframes column-wise.
dfr1 <- data.frame(x = 1:3, y = c("a", "b", "c"))
dfr2 <- data.frame(p = 4:6, q = c("d", "e", "f"))
dfr1
dfr2
cbind(dfr1,dfr2)
## x y
## 1 1 a
## 2 2 b
## 3 3 c
## p q
## 1 4 d
## 2 5 e
## 3 6 f
## x y p q
## 1 1 a 4 d
## 2 2 b 5 e
## 3 3 c 6 f
Similarily, rbind()
is used to join two dataframes row-wise.
dfr1 <- data.frame(x = 1:3, y = c("a", "b", "c"))
dfr2 <- data.frame(x = 4:6, y = c("d", "e", "f"))
dfr1
dfr2
rbind(dfr1,dfr2)
## x y
## 1 1 a
## 2 2 b
## 3 3 c
## x y
## 1 4 d
## 2 5 e
## 3 6 f
## x y
## 1 1 a
## 2 2 b
## 3 3 c
## 4 4 d
## 5 5 e
## 6 6 f
Two dataframes can be merged based on a shared column using the merge()
function.
dfr1 <- data.frame(x = 1:4, p = c("a", "b", "c","d"))
dfr2 <- data.frame(x = 3:6, q = c("l", "m", "n","o"))
dfr1
dfr2
merge(dfr1,dfr2,by="x")
merge(dfr1,dfr2,by="x",all.x=T)
merge(dfr1,dfr2,by="x",all.y=T)
merge(dfr1,dfr2,by="x",all=T)
## x p
## 1 1 a
## 2 2 b
## 3 3 c
## 4 4 d
## x q
## 1 3 l
## 2 4 m
## 3 5 n
## 4 6 o
## x p q
## 1 3 c l
## 2 4 d m
## x p q
## 1 1 a <NA>
## 2 2 b <NA>
## 3 3 c l
## 4 4 d m
## x p q
## 1 3 c l
## 2 4 d m
## 3 5 <NA> n
## 4 6 <NA> o
## x p q
## 1 1 a <NA>
## 2 2 b <NA>
## 3 3 c l
## 4 4 d m
## 5 5 <NA> n
## 6 6 <NA> o
R packages extend the functionality of base R. R packages are stored in repositories of which the most commonly used is called CRAN (The Comprehensive R Archive Network).
Packages are installed using the function install.packages()
. Let’s install the graphics and plotting package ggplot2
which will be useful in later sections.
install.packages("ggplot2",dependencies=TRUE)
Packages on BioConductor can be installed as follows:
source("https://bioconductor.org/biocLite.R")
biocLite("biomaRt")
Packages on GitHub can be installed using the function install_github()
from package devtools
.
Packages can also be installed from a local zipped file by providing a local path ans setting type="source"
.
install.packages("./dir/package.zip",type="source")
Inside RStudio, installing packages is much easier. Go to the Packages tab and click Install. In the window that opens up, you can find your package by typing into the Packages field and clicking Install. Bioconductor packages can be added to this list by setting it using setRepositories()
.
R is an excellent tool for creating graphs and plots. The graphic capabilities and functions provided by the base R installation is called the base R graphics. Numerous packages exist to extend the functionality of base graphics.
We can try out plotting a few of the common plot types. Let’s start with a scatterplot. First we create a data.frame
as this is the most commonly used data object.
dfr <- data.frame(a=sample(1:100,10),b=sample(1:100,10))
Now we have a dataframe with two continuous variables that can be plotted against each other.
plot(dfr$a,dfr$b)
This is probably the simplest and most basic plots. We can modify the x and y axis labels.
plot(dfr$a,dfr$b,xlab="Variable a",ylab="Variable b")
We can change the point to a line.
plot(dfr$a,dfr$b,xlab="Variable a",ylab="Variable b",type="b")
Let’s add a categorical column to our dataframe.
dfr$cat <- rep(c("C1","C2"),each=5)
And then colour the points by category.
# subset data
dfr_c1 <- subset(dfr,dfr$cat == "C1")
dfr_c2 <- subset(dfr,dfr$cat == "C2")
plot(dfr_c1$a,dfr_c1$b,xlab="Variable a",ylab="Variable b",col="red",pch=1)
points(dfr_c2$a,dfr_c2$b,col="blue",pch=2)
legend(x="topright",legend=c("C1","C2"),
col=c("red","blue"),pch=c(1,2))
Let’s create a barplot.
ldr <- data.frame(a=letters[1:10],b=sample(1:50,10))
barplot(ldr$b,names.arg=ldr$a)
Grid graphics have a completely different underlying framework compared to base graphics. Generally, base graphics and grid graphics cannot be plotted together. The most popular grid-graphics based plotting library is ggplot2.
Let’s create the same plot are before using ggplot2. Make sure you have the package installed.
library(ggplot2)
ggplot(dfr,aes(x=a,y=b,colour=cat))+
geom_point()+
labs(x="Variable a",y="Variable b")
It is generally easier and more consistent to create plots using the ggplot2 package compared to the base graphics.
Let’s create a barplot as well.
ggplot(ldr,aes(x=a,y=b))+
geom_bar(stat="identity")
Input and output of data and images is an important aspect with data analysis.
Data can come in a variety of formats which needs to be read into R and converted to an R data type.
Text files are the most commonly used input. Text files can be read in using the function read.table
. We have a sample file to use: iris.txt.
dfr <- read.table("iris.txt",header=TRUE,stringsAsFactors=F)
This reads in a tab-delimited text file with a header. The argument sep='\t'
is set by default to specify that the delimiter is a tab. stringsAsFactors=F
setting ensures that character columns are not automatically converted to factors.
It’s always a good idea to check the data after import.
head(dfr)
str(dfr)
Check ?read.table
for other wrapper functions to read in text files.
Let’s filter this data.frame and create a new dataset.
dfr1 <- dfr[dfr$Species == "setosa",]
And we can write this as a text file.
write.table(dfr1,"iris-setosa.txt",sep="\t",row.names=F,quote=F)
sep="\t"
sets the delimiter to tab. row.names=F
denotes that rownames should not be written. quote=F
specifies that doubles must not be placed around strings.
Let’s take a look at saving plots.
The general idea for saving plots is open a graphics device, create the plot and then close the device. We will use png here. Check out ?png
for the arguments and other devices.
dfr <- data.frame(a=sample(1:100,10),b=sample(1:100,10))
png(filename="plot-base.png")
plot(dfr$a,dfr$b)
dev.off()
The same idea can be applied to ggplot2, but in a slightly different way. First save the file to a variable, and then export the plot.
p <- ggplot(dfr,aes(a,b)) + geom_point()
png(filename="plot-ggplot-1.png")
print(p)
dev.off()
ggplot2 also has another easier helper function to export images.
ggsave(filename="plot-ggplot-2.png",plot=p)
?function
to get function documentation??bla
to search for a functionargs(function)
to get the arguments to a function## R version 3.5.2 (2018-12-20)
## Platform: x86_64-apple-darwin15.6.0 (64-bit)
## Running under: macOS High Sierra 10.13.6
##
## Matrix products: default
## BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
## LAPACK: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRlapack.dylib
##
## locale:
## [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
##
## attached base packages:
## [1] parallel stats4 stats graphics grDevices utils datasets
## [8] methods base
##
## other attached packages:
## [1] fgsea_1.8.0 Rcpp_1.0.2
## [3] enrichR_2.1 pvclust_2.0-0
## [5] rafalib_1.0.0 pheatmap_1.0.12
## [7] edgeR_3.24.3 limma_3.38.3
## [9] DESeq2_1.22.2 SummarizedExperiment_1.12.0
## [11] DelayedArray_0.8.0 BiocParallel_1.16.6
## [13] matrixStats_0.54.0 Biobase_2.42.0
## [15] GenomicRanges_1.34.0 GenomeInfoDb_1.18.2
## [17] IRanges_2.16.0 S4Vectors_0.20.1
## [19] BiocGenerics_0.28.0 ggplot2_3.2.1
## [21] dplyr_0.8.3 leaflet_2.0.2
## [23] captioner_2.2.3 bookdown_0.12
## [25] knitr_1.24 biomaRt_2.38.0
##
## loaded via a namespace (and not attached):
## [1] colorspace_1.4-1 ggsignif_0.6.0 rjson_0.2.20
## [4] htmlTable_1.13.1 XVector_0.22.0 base64enc_0.1-3
## [7] rstudioapi_0.10 ggpubr_0.2.3 bit64_0.9-7
## [10] AnnotationDbi_1.44.0 splines_3.5.2 geneplotter_1.60.0
## [13] zeallot_0.1.0 Formula_1.2-3 jsonlite_1.6
## [16] annotate_1.60.1 cluster_2.1.0 shiny_1.3.2
## [19] compiler_3.5.2 httr_1.4.1 backports_1.1.4
## [22] assertthat_0.2.1 Matrix_1.2-17 lazyeval_0.2.2
## [25] later_0.8.0 acepack_1.4.1 htmltools_0.3.6
## [28] prettyunits_1.0.2 tools_3.5.2 gtable_0.3.0
## [31] glue_1.3.1 GenomeInfoDbData_1.2.0 fastmatch_1.1-0
## [34] vctrs_0.2.0 nlme_3.1-141 crosstalk_1.0.0
## [37] xfun_0.8 stringr_1.4.0 mime_0.7
## [40] XML_3.98-1.20 zlibbioc_1.28.0 scales_1.0.0
## [43] hms_0.5.0 promises_1.0.1 RColorBrewer_1.1-2
## [46] yaml_2.2.0 curl_4.0 memoise_1.1.0
## [49] gridExtra_2.3 rpart_4.1-15 latticeExtra_0.6-28
## [52] stringi_1.4.3 RSQLite_2.1.2 genefilter_1.64.0
## [55] checkmate_1.9.4 rlang_0.4.0 pkgconfig_2.0.2
## [58] bitops_1.0-6 evaluate_0.14 lattice_0.20-38
## [61] purrr_0.3.2 htmlwidgets_1.3 labeling_0.3
## [64] cowplot_1.0.0 bit_1.1-14 tidyselect_0.2.5
## [67] magrittr_1.5 R6_2.4.0 Hmisc_4.2-0
## [70] DBI_1.0.0 pillar_1.4.2 foreign_0.8-72
## [73] withr_2.1.2 mgcv_1.8-28 survival_2.44-1.1
## [76] RCurl_1.95-4.12 nnet_7.3-12 tibble_2.1.3
## [79] crayon_1.3.4 rmarkdown_1.14 progress_1.2.2
## [82] locfit_1.5-9.1 grid_3.5.2 data.table_1.12.2
## [85] blob_1.2.0 digest_0.6.20 xtable_1.8-4
## [88] tidyr_0.8.3 httpuv_1.5.1 munsell_0.5.0
End of document


>
General
Hanamura
Ilios
Mercy
Soldier 76
Stats
Deaths
Healing Done
Damage Done
Abilities
Q - Valkyrie
E - Resurrect
LSHIFT - Guardian Angel
Show Full Statistics
<


Spatio-temporal and Events Based Analysis of COVID-19 in Twitter
Zhen Liu
Social media platforms are increasingly being used for the analysis of human behavior. Twitter is a great platform for users to share comments and update their status. The COVID-19 pandemic is a prime example of this; there were more than 628 million COVID-19 related tweets at the time of writing the document.
In this project, we will analyze the tweet data in the US continent from September 10th to October 9th spatially and temporally to find out how the public reacts to the COVID-19 pandemic on Twitter.
Twitter Data Mining
There are several methods to grab data from Twitter. The first method is to use the python library Tweepy to extract tweets. The second method is to use the software Hydrator to extract tweets from the tweet IDs from the dataset in the COVID-19 research. In this project, we tried the second method. We intergrated the data in hours into the data in days from Chen, etc.'s dataset. The benefits of Hydrator are: first, it can automatically start and pause the procedure. It can solve the problem of the rate limit for twitter APIs. Second, the result would be more convincing. Unlike the first method to extract tweets by limited keywords, chen etc incrementally added keywords based on the conversations occurring on Twitter at any time. The keywords they used include not only “COVID”, but also the relevant words, like “stay at home”, “GetMePPE”, “Chinese Virus” (This is wrong, but the word could be seen a lot on Twitter) etc.
Spatial and Temporal Analysis
In this project, we focus on the the tweet number. For different scales, we have different strategies. On the state scale, we normalize the data by the population in each state. At first, we calculate the global Moran's I. The unit is the state, while the value is the tweet counts per 100 people. The global Moran's I is -0.16 and z-score is -2.05. It indicates there is no significant pattern on the state scale. we, then, create a space time cube to see how the tweet density vary spatially and temporally. The time interval of each cube is 1 day. From Figure 3, we can see east coast region has the high density and there are more tweets per day in October than in September. Next, we perform the Mann-Kendall trend test. Figure 4 shows South Dakota, North Dakota, Connecticut, and Montana have up trends. But only the result of North Dakota is statistically significant.
As for data with coordinate information, we choose one county which holds the most tweets in 30 days -- Manhattan for analysis. First, we create a kernel point density map first. Figure 5 shows there are clustered tweets around SOHO and Greenwich village. Then, we perform emerging hot spot analysis (Figure 6), and also find that around SOHO, there exist consecutive hot spots and persistent hot spots. We sample some tweets and find that most of them are the tweets from restaurants and shops for COVID policy.
To make the result more convincing, we tried to normalize the tweet counts by the blockgroup population and perform Local Moran's I analysis, Hot spot analysis, Optimized hot spot analysis, and Optimized outlier analysis. For hot spot analysis and optimized outlier analysis, there is no significant result. But From Figure 7 (local moran's I analysis) and Figure 8 (optimized hot spot analysis), we can see Northern Manhattan don't tweet too much about COVID-19 and share their coordinates. And, in the Central park and Time square, the COVID-19 tweet density is high. In the sample tweets, most of them are from tourists. (like "Covid dining in NYC") Those maybe the reasons that the hot spots occur. (For the central park, we use the average number of tourist per day as population).
Further research
From the spatial and temperal analysis, we could understand how the COVID related tweets are distributed. Next, we want to explore the factors that influence the tweet counts. We take CA as an example. First, we think about the number of COVID cases. Considering the result is always public in the next day, we set a one-day lag and do the linear regression. t value is 0.334 and z-score is 0.193. it indicates the relationship between postive case and tweet counts is not strong.
Next, we try to see whether the breaking news will influence the tweet counts. So, we make a word cloud based on the tweet content on each day. In Figure 10, we can see the trending words on each day. The size of word indicates the frequency.
Then, we find that the peak of the tweet number always correspond to big events. However, we haven't find a metric to measure the prevelance of an event. But, from Figure 11, we still can see the event can be an important factor that influences the tweet counts.
Citation
- Chen E, Lerman K, Ferrara E Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set JMIR Public Health Surveillance 2020;6(2):e19273 DOI: 10.2196/19273 PMID: 32427106
Last modified November 30, 2020


2015-2017
Instituto Superior de Engenharia do Porto
Master degree in Chemical Engineering in the field of Energy and Biorefinery.
2011-2015
Degree in Chemical Engineering.
2008-2011
...


Meet our hero --Silly name here--, super-intelligent --Unrealistic profession--.
A run-in with the --Country-- military leads him to create his alter-ego --Another silly name--, a --Color-- --Adjective-- giant capable of great destruction.
He --Adverb-- battles the military with his girlfriend --Third silly name--.


A newbie trying to create website, just another normal guy trying to code, a crazy man creating websites...
I have some skills and programming is not really one of them so far ^^
You may find me on some social network platforms but also on github


62
1 For Zion's sake I will not be silent, and for Jerusalem's sake I will not be quiet,
until her righteousness proceeds
brightly, and her salvation as a burning torch.
2 The nations will see your righteousness, and all kings your glory.
You will be called by a new name that Yahweh will choose.
3 You will also be a crown of beauty in the hand of Yahweh, and a turban of kingship in the hand of your God.
4 It will no more be said of you, "Abandoned"; nor of your land any longer will it be said, "Desolate."
Indeed, you will be called "My delight is in her," and your land "Married,"
for Yahweh delights in you, and your land will be married.
5 As a young man marries a young woman, so your sons will marry you.
As a bridegroom rejoices over his bride,
your God will rejoice over you.
6 I have put watchmen on your walls, Jerusalem;
they are not silent day or night.
You who keep reminding Yahweh, do not pause.
7 Do not allow him to rest until he reestablishes
Jerusalem and makes it a praise on earth.
8 Yahweh has sworn by his right hand and by the arm of his strength,
"Surely I will no longer give your grain as food for your enemies.
Foreigners will not drink your new wine, for which you have worked.
9 For those who harvest the grain will eat it and praise Yahweh,
and those who pick the grapes will drink the wine in the courts of my holy sanctuary."
10 Come through, come through the gates! Prepare the way for the people!
Build it, build the highway! Gather out the stones!
Raise up a signal flag for the nations!
11 Look, Yahweh announces to the ends of the earth,
"Say to the daughter of Zion: Look, your Savior is coming!
See, his reward is with him, and his recompense is going before him."
12 They will call you, "The holy people; the redeemed of Yahweh," and you will be called "Sought after; a city not abandoned."


| 033:015 Khan | : |
And indeed they had already made a covenant with Allah not to turn their backs, and a covenant with Allah must be answered for. |
| 033:015 Maulana | : |
And they had indeed made a covenant with Allah before, (that) they would not turn (their) backs. And a covenant with Allah must be answered for. |
| 033:015 Pickthal | : |
And verily they had already sworn unto Allah that they would not turn their backs (to the foe). An oath to Allah must be answered for. |
| 033:015 Rashad | : |
They had pledged to GOD in the past that they would not turn around and flee; making a pledge with GOD involves a great responsibility. |
| 033:015 Sarwar | : |
They had certainly promised God that they would not turn away. To promise God is certainly a (great) responsibility. |
| 033:015 Shakir | : |
And certainly they had made a covenant with Allah before, that) they would not turn (their) backs; and Allah's covenant shall be inquired of. |
| 033:015 Sherali | : |
And truly they had already covenanted with ALLAH that they would not turn their backs. And a covenant with ALLAH will have to be answered for. |
| 033:015 Yusufali | : |
And yet they had already covenanted with Allah not to turn their backs, and a covenant with Allah must (surely) be answered for. |
Concepts/Themes Covered: الإيمان > الإيمان بالله > النفاق Faith> Belief In Allah> Hypocrisy الجهاد > الجهاد في سبيل الإسلام > أشرار الجند Jihad> The Call to Jihad>The Wicked Soldiers الجهاد > الجهاد في سبيل الإسلام > ذم المتخاذلين عن الجهاد Jihad> The Call to Jihad>Dispraise the Reluctant for the Holy War الجهاد > الغزوات > غزوة الخندق Jihad> The Holy Battles> Al-Khandak Battle الإنسان والعلاقات الأخلاقية > الأخلاق الحميدة > الوفاء بالعهد Man and The Moral Relations> Good Morals>Keeping Promise
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


Kerala Tourism
Home
(current)
About
Log Out
Districts
Search
About us
Kerala Tourism, Peoples of Kerala
Paleri Hills,Kochi
Kerala,India - 652 123
Phone:+91<PHONE_NUMBER>, Fax: +91<PHONE_NUMBER>2,
Toll free No: 1-800-852-7852(within India only)
E-mail:keralatourism@gmail.com


WITNESS LIST Appropriations Committee (Subcommittee on General Government) February 1, 2001-7:00A Budget For: Hagert, Celia (self) On: Brown, Bob (Texas Animal Health Commission) Combs, Susan (Texas Department of Agriculture) Daniels, Jerry (Aircraft Pooling Board) Garza, Tony (Railroad Commission) Hammond, Bruce (Texas Animal Health Commission) Kitchens, Ronald (Railroad Commission of Texas) Logan, Linda (Texas Animal Health Commission) Matthews, Charles (Railroad Commission) McBee, Barry (Governor's Office) O'Mahoney, Terry (Texas Workforce Commission) Pyka, Kathy (Railroad Commission) Rath, Diane (Texas Workforce Commission) Reed, Cassie (Texas Workforce Commission) Rich, Laurie (State Office of Federal Affairs) Templeton, Joe (Texas Animal Health Commission) Townsend, Randy (Texas Workforce Commission) Tucker, Jerry (Office of Governor) Williams, Michael (Railroad Commission) Registering, but not testifying: On: Bresette, Patrick (self)


Methods
Constants
| NULL | = | 'remote_cache_store:null' |
| this allows caching of the fact that there is nothing in the remote cache |
Public Instance methods
[ show source ]
# File vendor/rails/activesupport/lib/active_support/cache/strategy/local_cache.rb, line 89 89: def clear 90: local_cache.clear if local_cache 91: super 92: end
[ show source ]
# File vendor/rails/activesupport/lib/active_support/cache/strategy/local_cache.rb, line 80 80: def decrement(key, amount = 1) 81: if value = super 82: local_cache.write(key, value.to_s) if local_cache 83: value 84: else 85: nil 86: end 87: end
[ show source ]
# File vendor/rails/activesupport/lib/active_support/cache/strategy/local_cache.rb, line 55 55: def delete(key, options = nil) 56: local_cache.write(key, NULL) if local_cache 57: super 58: end
[ show source ]
# File vendor/rails/activesupport/lib/active_support/cache/strategy/local_cache.rb, line 60 60: def exist(key, options = nil) 61: value = local_cache.read(key) if local_cache 62: if value == NULL 63: false 64: elsif value 65: true 66: else 67: super 68: end 69: end
[ show source ]
# File vendor/rails/activesupport/lib/active_support/cache/strategy/local_cache.rb, line 71 71: def increment(key, amount = 1) 72: if value = super 73: local_cache.write(key, value.to_s) if local_cache 74: value 75: else 76: nil 77: end 78: end
[ show source ]
# File vendor/rails/activesupport/lib/active_support/cache/strategy/local_cache.rb, line 15 15: def middleware 16: @middleware ||= begin 17: klass = Class.new 18: klass.class_eval("def initialize(app)\n@app = app\nend\n\ndef call(env)\nThread.current[:\#{thread_local_key}] = MemoryStore.new\n@app.call(env)\nensure\nThread.current[:\#{thread_local_key}] = nil\nend\n", __FILE__, __LINE__) 19: klass 20: end 21: end
[ show source ]
# File vendor/rails/activesupport/lib/active_support/cache/strategy/local_cache.rb, line 35 35: def read(key, options = nil) 36: value = local_cache && local_cache.read(key) 37: if value == NULL 38: nil 39: elsif value.nil? 40: value = super 41: local_cache.write(key, value || NULL) if local_cache 42: value.duplicable? ? value.dup : value 43: else 44: # forcing the value to be immutable 45: value.duplicable? ? value.dup : value 46: end 47: end
[ show source ]
# File vendor/rails/activesupport/lib/active_support/cache/strategy/local_cache.rb, line 8 8: def with_local_cache 9: Thread.current[thread_local_key] = MemoryStore.new 10: yield 11: ensure 12: Thread.current[thread_local_key] = nil 13: end
[ show source ]
# File vendor/rails/activesupport/lib/active_support/cache/strategy/local_cache.rb, line 49 49: def write(key, value, options = nil) 50: value = value.to_s if respond_to?(:raw?) && raw?(options) 51: local_cache.write(key, value || NULL) if local_cache 52: super 53: end


Single-track Piano-roll¶
-
class
pypianoroll.
Track
(pianoroll=None, program=0, is_drum=False, name='unknown')[source]¶ A single-track piano-roll container.
-
pianoroll
¶ np.ndarray, shape=(num_time_step, 128) – Piano-roll matrix. First dimension represents time. Second dimension represents pitch.
-
program
¶ int – Program number according to General MIDI specification. Available values are 0 to 127. Default to 0 (Acoustic Grand Piano).
-
is_drum
¶ bool – Drum indicator. True for drums. False for other instruments.
-
name
¶ str – Name of the track.
Initialize the object by assigning attributes.
Parameters: - pianoroll (np.ndarray, shape=(num_time_step, 128)) – Piano-roll matrix. First dimension represents time. Second dimension represents pitch. Available datatypes are bool, int, float.
- program (int) – Program number according to General MIDI specification [1]. Available values are 0 to 127. Default to 0 (Acoustic Grand Piano).
- is_drum (bool) – Drum indicator. True for drums. False for other instruments. Default to False.
- name (str) – Name of the track. Default to ‘unknown’.
References
[1] https://www.midi.org/specifications/item/gm-level-1-sound-set
-
binarize
(threshold=0)[source]¶ Binarize the piano-roll. Do nothing if the piano-roll is already binarized.
Parameters: threshold (int or float) – Threshold to binarize the piano-rolls. Default to zero.
-
clip
(lower=0, upper=127)[source]¶ Clip the piano-roll by an lower bound and an upper bound specified by lower and upper, respectively.
Parameters: - lower (int or float) – The lower bound to clip the piano-roll. Default to 0.
- upper (int or float) – The upper bound to clip the piano-roll. Default to 127.
-
copy
()[source]¶ Return a copy of the object.
Returns: copied – A copy of the object. Return type: pypianoroll.Track object
-
get_active_length
()[source]¶ Return the active length (i.e. without trailing silence) of the piano-roll (in time step).
Returns: active_length – Length of the piano-roll without trailing silence (in time step). Return type: int
-
get_active_pitch_range
()[source]¶ Return the active pitch range in tuple (lowest, highest).
Parameters: relative (bool) – True to return the relative pitch range , i.e. the corresponding indices in the pitch axis of the piano-roll. False to return the absolute pitch range. Default to False. Returns: - lowest (int) – The lowest active pitch in the piano-roll.
- highest (int) – The highest active pitch in the piano-roll.
-
get_pianoroll_copy
()[source]¶ Return a copy of the piano-roll.
Returns: A copy of the piano-roll. Return type: copied
-
is_binarized
()[source]¶ Return True if the piano-roll is already binarized. Otherwise, return False.
Returns: is_binarized – True if the piano-roll is already binarized; otherwise, False. Return type: bool
-
pad
(pad_length)[source]¶ Pad the piano-roll with zeros at the end along the time axis.
Parameters: pad_length (int) – The length to pad along the time axis with zeros.
-
pad_to_multiple
(factor)[source]¶ Pad the piano-roll with zeros at the end along the time axis of minimal length to make the length of the resulting piano-roll a multiple of factor.
Parameters: factor (int) – The value of which the length of the resulting piano-roll will be a multiple.
-
plot
(filepath=None, beat_resolution=None, downbeats=None, normalization='standard', preset='default', cmap='Blues', tick_loc=None, xtick='auto', ytick='octave', xticklabel='on', yticklabel='auto', direction='in', label='both', grid='both', grid_linestyle=':', grid_linewidth=0.5)[source]¶ Plot the piano-roll or save a plot of the piano-roll.
Parameters: - filepath – The filepath to save the plot. If None, default to save nothing.
- beat_resolution (int) – Resolution of a beat (in time step). Required and only effective when xticklabel is ‘beat’.
- downbeats (list) – Indices of time steps that contain downbeats., i.e. the first time step of a bar.
- normalization ({'standard', 'auto', 'none'}) –
The normalization method to apply to the piano-roll. Default to ‘standard’. If pianoroll is binarized, use ‘none’ anyway.
- For ‘standard’ normalization, the normalized values are given by N = P / 128, where P, N is the original and normalized piano-roll, respectively
- For ‘auto’ normalization, the normalized values are given by N = (P - m) / (M - m), where P, N is the original and normalized piano-roll, respectively, and M, m is the maximum and minimum of the original piano-roll, respectively.
- If ‘none’, no normalization will be applied to the piano-roll. In this case, the values of pianoroll should be in [0, 1] in order to plot it correctly.
- preset ({'default', 'plain', 'frame'}) –
Preset themes for the plot.
- In ‘default’ preset, the ticks, grid and labels are on.
- In ‘frame’ preset, the ticks and grid are both off.
- In ‘plain’ preset, the x- and y-axis are both off.
- cmap (matplotlib.colors.Colormap) – Colormap to use in
matplotlib.pyplot.imshow()
. Default to ‘Blues’. Only effective when pianoroll is 2D. - tick_loc (tuple or list) – List of locations to put ticks. Availables elements are ‘bottom’, ‘top’, ‘left’ and ‘right’. If None, default to (‘bottom’, ‘left’).
- xtick ({'auto', 'beat', 'step', 'off'}) – Use beat number or step number as ticks along the x-axis, or automatically set to ‘beat’ when beat_resolution is given and set to ‘step’, otherwise. Default to ‘auto’.
- ytick ({'octave', 'pitch', 'off'}) – Use octave or pitch as ticks along the y-axis. Default to ‘octave’.
- xticklabel ({'on', 'off'}) – Indicate whether to add tick labels along the x-axis. Only effective when xtick is not ‘off’.
- yticklabel ({'auto', 'name', 'number', 'off'}) – If ‘name’, use octave name and pitch name (key name when is_drum is True) as tick labels along the y-axis. If ‘number’, use pitch number. If ‘auto’, set to ‘name’ when ytick is ‘octave’ and ‘number’ when ytick is ‘pitch’. Default to ‘auto’. Only effective when ytick is not ‘off’.
- direction ({'in', 'out', 'inout'}) – Put ticks inside the axes, outside the axes, or both. Default to ‘in’. Only effective when xtick and ytick are not both ‘off’.
- label ({'x', 'y', 'both', 'off'}) – Add label to the x-axis, y-axis, both or neither. Default to ‘both’.
- grid ({'x', 'y', 'both', 'off'}) – Add grid to the x-axis, y-axis, both or neither. Default to ‘both’.
- grid_linestyle (str) – Will be passed to
matplotlib.axes.Axes.grid()
as ‘linestyle’ argument. - grid_linewidth (float) – Will be passed to
matplotlib.axes.Axes.grid()
as ‘linewidth’ argument.
Returns: - fig (matplotlib.figure.Figure object) – A
matplotlib.figure.Figure
object. - ax (matplotlib.axes.Axes object) – A
matplotlib.axes.Axes
object.
-


About Me
Hi! I'm Barry. I'm 42 and live in Seattle. I absolutely love Halloween. The picture to the left shows me and my girlfriend at a pumpkin beer festival during October. Some of my hobbies include board games, photography, and filmmaking.
I have a B.A. Degree in Graphic Design from The International Academy of Design and Technology and an A.A. in Computer Electronics from ECPI. After I graduated ECPI I got a job as a Copier Repairman. I then went on to work in printing for several years until I decided to go back to school and got my Graphic Design degree. I was hired by a merchandise company called BDA where I did Graphic Design, Photography, and Videography. Now I am a student at Code Fellows hoping to transition into a career in Software Development.
TOP 10 FAVORITE MOVIES
- Blade Runner
- Hackers
- Never Ending Story
- Scott Pilgrim
- The Doom Generation
- Ghost World
- Labyrinth
- Underworld
- Better Off Dead
- Raiders of the Lost Ark


WITNESS LIST State Affairs Committee March 31, 2003-2:30P HB 1027 For: Strayhorn, Comptroller Carole Keeton (Comptroller's Office) On: Ancira, Jesse (Office of the Comptroller of Public Accounts) Registering, but not testifying: Against: Whalen, Ken (Texas Daily Newspaper Association and the Texas Press Association) HB 1562 For: Burke, John (Texas Rural Water Association and the Aqua Water Supply Corporation) Key, Robert (Coppell ISD and TASB) Stephens, Ron (City of Kilgore) Streater, Joy (Self and County and District Clerk Association) Against: Baggett, Donnis (Texas Daily Newspaper Association and the Texas Press Association) Mitchell, Kathy (Consumers Union) Registering, but not testifying: For: Igo, Shanna (Texas Municipal League) Against: Kenny, Conor (Public Citizen Texas) Woodford, Suzy (Common Cause Texas) On: Kennedy, Boyd (Texas Parks and Wildlife Department) Parsley, Cathleen (State Office of Administrative Hearings) HB 1796 Registering, but not testifying: For: Whalen, Ken (Texas Daily Newspaper Association and the Texas Press Association) HB 1904 For: Whitehead, II, Tracy (City of Houston Building Services Department) On: Aucoin, Aline (Texas Department of Public Safety) Baldwin, Jeff (Texas Department of Criminal Justice) Registering, but not testifying: For: Gillory, Ronald (Houston Police Department) HB 2004 For: Mitchell, Seth (Bexar County Commissioners Court) Pardue, Craig (Dallas County) Schweninger, Edward (Bexar County Commissioners Court and the Bexar County District Attorney) Registering, but not testifying: For: Douglass, Cathy (Texas Association of School Boards) Jackson, Jim (Dallas County Commissioners Court) Keliber, Margaret (Dallas County Commissioners) Lee, Donald (Texas Conference of Urban Counties) Mayfield, Kenneth (Self and Dallas County Commissioners Court) Against: Baggett, Donnis (Texas Daily Newspaper Association and the Texas Press Association) Mitchell, Kathy (Consums Union) Woodford, Suzy (Common Cause Texas) HB 2032 For: Mitchell, Kathy (Consumers Union) Sisk, Cathy (Harris County Attorney and the Harris County Commissioners Court) Registering, but not testifying: For: Fenz, Caton (Harris County Commissioners Court) On: Cary, Missy Katherine (Office of the Attorney General) HB 2040 Registering, but not testifying: For: Igo, Shanna (Texas Municipal League) On: Durso, Susan (Public Utility Commission) Lawson, Richard (Texas Telephone Association) Pettigrew, Karen (Office of the Attorney General) HB 2243 For: Jackson, William (Harris County Hospital District) Webb, John S. "Jess" (St. David's Healthcare Partnership) Against: Baggett, Donnis (Texas Daily Newspaper Association and the Texas Press Association) Registering, but not testifying: For: Fenz, Caton (Harris County Commissioners Court) Against: Harrell, Will (American Civil Liberties Union) On: Mitchell, Kathy (Consumers Union) Stone, Nancy (Harris City Hospital District) HB 2343 For: Balzarette, James (HEARTS Veterans Museum) Fuchs, John (HEARTS Veteran's Museum) Pierce, Danny (Self and HEARTS Museum) Registering, but not testifying: For: McFarland, Dee (Huntsville-Walker County Chamber of Commerce) Shotwell, BJ (HEARTS Veterans Museum) HB 2455 Against: Baggett, Donnis (Texas Daily Newspaper Association and the Texas Press Association) Lewis, Fred (Self) Mitchell, Kathy (Consumers Union) On: Longley, Joey (Sunset Commission - Director) Registering, but not testifying: Against: Woodford, Suzy (Common Cause Texas) HB 2485 On: Gilmore, Barnie (State Auditor's Office) Jacobs, Mickey (Small State Agency Task Force) HCR 28 For: Alcorn, Lee (Coalition for the Advancement of Civil Rights (CACR)) Crear, Lacisha (Self and Africans and African Americans for Enslavement Reparations) Haggerty, Michael (Self and Family) Henry, Jr., Charles (Self) Lands, Kristoffer Sterling (Self) Lands, Richard (Self and Greater Calvary Baptist Church) Lands, Talib (Self and Greater Calvary Academy) Muhammed, Thomas (Africans and Africans for Enslavement Reparations) Taharka, Kofi (National Black United Front - Houston and National and the Local Action Committee for Reparations) Vicks, Oscar (Self and San Antonio Committee for Reparations) Registering, but not testifying: For: Harrell, Will (ACLU of Texas and the NAACP) McNeel, Raymond (Texas Democratic Party) Against: Gerstenschlager, MerryLynn (Self and Texas Eagle Forum) HCR 69 For: Springstube, Woodord (Self) Venable, Peggy (Citizens for a Sound Economy) Registering, but not testifying: Against: McNeel, Raymond (Texas Democratic Party) HJR 25 Registering, but not testifying: Against: Gerstenschlager, MerryLynn (Self and Texas Eagle Forum) HJR 58 Registering, but not testifying: For: Harris, Dwight (Texas Federation of Teachers)


{% extends 'base.html' %} {% block content %} {% block title %}Add/Update Student Info{% endblock %}
Add the necessary details of the student below. If a field is not applicable, place "N/A".


## Before you start
* Know your data
* What is the [purpose of your visualization](http://junkcharts.typepad.com/junk_charts/junk-charts-trifecta-checkup-the-definitive-guide.html)?
* What are your users likely to take away?
* Make a sketch (or many)
## What are we good at understanding?
## What's most important?
* Comparison
* Change over time
* Part-to-whole
* Relationship
* Distribution
## Comparison
* Bar/column charts ![](img/bar.png)
## Change over time
* Line charts
* Slope graphs
![](img/line.png) ![](img/slope.png)
## Part-to-whole
* Pie charts
* Stacked bar charts
![](img/pie.png)![](img/stacked.png)
## Relationship
* Scatter plot ![](img/scatter.png)
## Design
* Clarify, not simplify
* Limit colors, fonts
* [Color Brewer](http://colorbrewer2.org/#type=sequential&scheme=BuGn&n=3)
* Interactivity
* Overview first, zoom and filter, then details-on-demand
* What is the purpose (what will your users to get out of it?)
* [In Defense of Interactive Graphics](https://www.vis4.net/blog/posts/in-defense-of-interactive-graphics/)
## Tools
* [Chartbuilder](https://quartz.github.io/Chartbuilder/)
* [Tableau](http://www.tableau.com/products/public)
* [High Charts](http://www.highcharts.com/)
* [Google Charts](https://developers.google.com/chart/)
* [Infogram](https://infogr.am/)
* [Atlas](https://www.theatlas.com/)
## When is [a map a map](http://www.ericson.net/content/2011/10/when-maps-shouldnt-be-maps/)
* The geography is key to the story
* The interesting trends are tied to the geography
* That story is clear in the presentation
* Showing those trends on a map is the clearest way to present them
* Geography [doesn't distort the<EMAIL_ADDRESS>### Choropleth
![](img/choropleth.png)
### Cartogram
![](img/cartogram.jpg)
## Tools
* [Carto (maybe ...)](https://cartodb.com/)
* [Google Fusion Tables](https://support.google.com/fusiontables/answer/2527132?hl=en&topic=2573107&ctx=topic)
* [ESRI Story Maps](http://storymaps.arcgis.com/en/)
* [Leaflet (Maptime Tutorial)](http://maptime.io/chicago/learn-leaflet/#0)
* [MapBox](https://www.mapbox.com/)
## Resources
* [Visual Vocabulary](http://ft-interactive.github.io/visual-vocabulary/)
* [The Functional Art](http://www.thefunctionalart.com/)
* [When to use maps in data visualisation: a great big guide](http://onlinejournalismblog.com/2015/08/24/when-to-use-maps-in-data-visualisation-a-great-big-guide/)
* [How to 'interview' a big pile of data](http://training.npr.org/visual/what-to-do-with-a-big-pile-of-data/)
* [The Quartz Guide to Bad Data](https://github.com/Quartz/bad-data-guide)
* [ProPublica Guide to bulletproofing your data](https://github.com/propublica/guides/blob/master/data-bulletproofing.md)
* [Poynter's Excel for journalists](http://www.poynter.org/news/media-innovation/154584/how-journalists-can-use-excel-to-organize-data-for-stories/)
* [IRE and NICAR-L](www.ire.org)