The Active Record Helper makes it easier to create forms for records kept in instance variables. The most far-reaching is the form method that creates a complete form for all the basic content types of the record (not associations or aggregations, though). This is a great of making the record quickly available for editing, but likely to prove lackluster for a complicated real-world form. In that case, it’s better to use the input method and the specialized form methods in classes/ActionView/Helpers/FormHelper.html
Returns a string containing the error message attached to the method on the object, if one exists. This error message is wrapped in a DIV tag, which can be specialized to include both a prepend_text and append_text to properly introduce the error and a css_class to style it accordingly. Examples (post has an error message "can’t be empty" on the title attribute):
<%= error_message_on "post", "title" %> =>
can't be empty
 <%= error_message_on "post", "title", "Title simply ", " (or it won't work)", "inputError" %> =>
Title simply can't be empty (or it won't work)

[ show source ]
# File vendor/rails/actionpack/lib/action_view/helpers/active_record_helper.rb, line 87 87: def error_message_on(object, method, prepend_text = "", append_text = "", css_class = "formError") 88: if errors = instance_variable_get("@#{object}").errors.on(method) 89: content_tag("div", "#{prepend_text}#{errors.is_a?(Array) ? errors.first : errors}#{append_text}", :class => css_class) 90: end 91: end
Returns a string with a div containing all the error messages for the object located as an instance variable by the name of object_name. This div can be tailored by the following options:
- header_tag - Used for the header of the error div (default: h2)
- id - The id of the error div (default: errorExplanation)
- class - The class of the error div (default: errorExplanation)
NOTE: This is a pre-packaged presentation of the errors with embedded strings and a certain HTML structure. If what you need is significantly different from the default presentation, it makes plenty of sense to access the object.errors instance yourself and set it up. View the source of this method to see how easy it is.
[ show source ]
# File vendor/rails/actionpack/lib/action_view/helpers/active_record_helper.rb, line 103 103: def error_messages_for(object_name, options = {}) 104: options = options.symbolize_keys 105: object = instance_variable_get("@#{object_name}") 106: if object && !object.errors.empty? 107: content_tag("div", 108: content_tag( 109: options[:header_tag] || "h2", 110: "#{pluralize(object.errors.count, "error")} prohibited this #{object_name.to_s.gsub("_", " ")} from being saved" 111: ) + 112: content_tag("p", "There were problems with the following fields:") + 113: content_tag("ul", object.errors.full_messages.collect { |msg| content_tag("li", msg) }), 114: "id" => options[:id] || "errorExplanation", "class" => options[:class] || "errorExplanation" 115: ) 116: else 117: "" 118: end 119: end
Returns an entire form with input tags and everything for a specified Active Record object. Example (post is a new record that has a title using VARCHAR and a body using TEXT):
form("post") => <form action='/post/create' method='post'>
 Title
 <input id="post_title" name="post[title]" size="30" type="text" value="Hello World" />

 Body
 <textarea cols="40" id="post_body" name="post[body]" rows="20"> Back to the hill and over it again! </textarea>
 <input type='submit' value='Create' /> </form>
It’s possible to specialize the form builder by using a different action name and by supplying another block renderer. Example (entry is a new record that has a message attribute using VARCHAR):
form("entry", :action => "sign", :input_block => Proc.new { |record, column| "#{column.human_name}: #{input(record, column.name)}
" }) => <form action='/post/sign' method='post'> Message: <input id="post_title" name="post[title]" size="30" type="text" value="Hello World" />
 <input type='submit' value='Sign' /> </form>
It’s also possible to add additional content to the form by giving it a block, such as:
form("entry", :action => "sign") do |form| form << content_tag("b", "Department") form << collection_select("department", "id", @departments, "id", "name") end
[ show source ]
# File vendor/rails/actionpack/lib/action_view/helpers/active_record_helper.rb, line 59 59: def form(record_name, options = {}) 60: record = instance_variable_get("@#{record_name}") 61: 62: options = options.symbolize_keys 63: options[:action] ||= record.new_record? ? "create" : "update" 64: action = url_for(:action => options[:action], :id => record) 65: 66: submit_value = options[:submit_value] || options[:action].gsub(/[^\w]/, '').capitalize 67: 68: contents = '' 69: contents << hidden_field(record_name, :id) unless record.new_record? 70: contents << all_input_tags(record, record_name, options) 71: yield contents if block_given? 72: contents << submit_tag(submit_value) 73: 74: content_tag('form', contents, :action => action, :method => 'post', :enctype => options[:multipart] ? 'multipart/form-data': nil) 75: end
Returns a default input tag for the type of object returned by the method. Example (title is a VARCHAR column and holds "Hello World"):
input("post", "title") => <input id="post_title" name="post[title]" size="30" type="text" value="Hello World" />
[ show source ]
# File vendor/rails/actionpack/lib/action_view/helpers/active_record_helper.rb, line 20 20: def input(record_name, method, options = {}) 21: InstanceTag.new(record_name, method, self).to_tag(options) 22: end


|
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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object java.lang.ClassLoader javassist.Loader javassist.tools.reflect.Loader
public class Loader
A class loader for reflection.
To run a program, say MyApp
,
including a reflective class,
you must write a start-up program as follows:
public class Main { public static void main(String[] args) throws Throwable { javassist.tools.reflect.Loader cl = (javassist.tools.reflect.Loader)Main.class.getClassLoader(); cl.makeReflective("Person", "MyMetaobject", "javassist.tools.reflect.ClassMetaobject"); cl.run("MyApp", args); } }
Then run this program as follows:
% java javassist.tools.reflect.Loader Main arg1, ...
This command runs Main.main()
with arg1
, ...
and Main.main()
runs MyApp.main()
with
arg1
, ...
The Person
class is modified
to be a reflective class. Method calls on a Person
object are intercepted by an instance of MyMetaobject
.
Also, you can run MyApp
in a slightly different way:
public class Main2 { public static void main(String[] args) throws Throwable { javassist.tools.reflect.Loader cl = new javassist.tools.reflect.Loader(); cl.makeReflective("Person", "MyMetaobject", "javassist.tools.reflect.ClassMetaobject"); cl.run("MyApp", args); } }
This program is run as follows:
% java Main2 arg1, ...
The difference from the former one is that the class Main
is loaded by javassist.tools.reflect.Loader
whereas the class
Main2
is not. Thus, Main
belongs
to the same name space (security domain) as MyApp
whereas Main2
does not; Main2
belongs
to the same name space as javassist.tools.reflect.Loader
.
For more details,
see the notes in the manual page of javassist.Loader
.
The class Main2
is equivalent to this class:
public class Main3 { public static void main(String[] args) throws Throwable { Reflection reflection = new Reflection(); javassist.Loader cl = new javassist.Loader(ClassPool.getDefault(reflection)); reflection.makeReflective("Person", "MyMetaobject", "javassist.tools.reflect.ClassMetaobject"); cl.run("MyApp", args); } }
Note:
javassist.tools.reflect.Loader
does not make a class reflective
if that class is in a java.*
or
javax.*
pacakge because of the specifications
on the class loading algorithm of Java. The JVM does not allow to
load such a system class with a user class loader.
To avoid this limitation, those classes should be statically
modified with javassist.tools.reflect.Compiler
and the original
class files should be replaced.
Reflection
,
Compiler
,
Loader
| Field Summary |
|---|
| Fields inherited from class javassist.Loader |
|---|
doDelegation |
| Constructor Summary | |
|---|---|
Loader()
Constructs a new class loader. |
| Method Summary | |
|---|---|
static void |
main(java.lang.String[] args)
Loads a class with an instance of Loader
and calls main() in that class. |
boolean |
makeReflective(java.lang.String clazz,
java.lang.String metaobject,
java.lang.String metaclass)
Produces a reflective class. |
| Methods inherited from class javassist.Loader |
|---|
addTranslator, delegateLoadingOf, run, run, setClassPool, setDomain |
| Methods inherited from class java.lang.ClassLoader |
|---|
clearAssertionStatus, getParent, getResource, getResourceAsStream, getResources, getSystemClassLoader, getSystemResource, getSystemResourceAsStream, getSystemResources, loadClass, setClassAssertionStatus, setDefaultAssertionStatus, setPackageAssertionStatus |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public Loader() throws CannotCompileException, NotFoundException
CannotCompileException
NotFoundException
| Method Detail |
|---|
public static void main(java.lang.String[] args) throws java.lang.Throwable
Loader
and calls main()
in that class.
args
- command line parameters.
args[0]
is the class name to be loaded.
args[1..n]
are parameters passed
to the target main()
.
java.lang.Throwable
public boolean makeReflective(java.lang.String clazz, java.lang.String metaobject, java.lang.String metaclass) throws CannotCompileException, NotFoundException
clazz
- the reflective class.metaobject
- the class of metaobjects.
It must be a subclass of
Metaobject
.metaclass
- the class of the class metaobject.
It must be a subclass of
ClassMetaobject
.
false
if the class is already reflective.
CannotCompileException
NotFoundException
Metaobject
,
ClassMetaobject
|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


{% extends 'base.html' %} {% block content %} {% if data.key == 'keys' %}
(All keys are actually prefixed with "resque:")


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❮❮❮ Raspberry Pi (GPIO)
| 3.3V | 1 | 2 | 5V | ||||||
| 1 | ALT0 | GPIO-2 | 3 | 4 | 5V | ||||
| 1 | ALT0 | GPIO-3 | 5 | 6 | GND | ||||
| 1 | IN | GPIO-4 | 7 | 8 | GPIO-14 | ALT0 | 1 | ||
| GND | 9 | 10 | GPIO-15 | ALT0 | 1 | ||||
| 0 | OUT | GPIO-17 | 11 | 12 | GPIO-18 | IN | 0 | ||
| 0 | IN | GPIO-27 | 13 | 14 | GND | ||||
| 0 | IN | GPIO-22 | 15 | 16 | GPIO-23 | IN | 0 | ||
| 3.3V | 17 | 18 | GPIO-24 | IN | 0 | ||||
| 0 | IN | GPIO-10 | 19 | 20 | GND | ||||
| 0 | IN | GPIO-9 | 21 | 22 | GPIO-25 | IN | 0 | ||
| 0 | IN | GPIO-11 | 23 | 24 | GPIO-8 | IN | 1 | ||
| GND | 25 | 26 | GPIO-7 | IN | 1 | ||||
| 1 | IN | GPIO-0 | 27 | 28 | GPIO-1 | IN | 1 | ||
| 1 | IN | GPIO-5 | 29 | 30 | GND | ||||
| 1 | IN | GPIO-6 | 31 | 32 | GPIO-12 | IN | 0 | ||
| 0 | IN | GPIO-13 | 33 | 34 | GND | ||||
| 0 | IN | GPIO-19 | 35 | 36 | GPIO-16 | IN | 0 | ||
| 0 | IN | GPIO-26 | 37 | 38 | GPIO-20 | IN | 0 | ||
| GND | 39 | 40 | GPIO-21 | IN | 0 |


import {Fixture} from 'fetch-mock-fixtures/src/Fixture.js'
Fixture
Extends:
A fixture contains all the needed informations to find out wich request can be matched and wich response must be sent back
Constructor Summary
| Public Constructor | ||
| public |
constructor(server: Server) Initialize the ResponseConfigurator helper |
version 1.0.0 since 2.0.0 |
Member Summary
| Public Members | ||
| public get |
any: * |
|
| public |
Stores the number of responses generated by this fixture |
since 2.0.0 |
| public get |
Alias for respond that always return the fallback fixture |
version 1.0.0 since 2.0.0 |
| public |
Stores the response which are specific to global call count |
since 2.0.0 |
| public get |
on: RequestMatcher: * Set the fixture in request matching mode. |
version 1.0.0 since 2.0.0 |
| public |
Stores the response which are specific to own call count |
since 2.0.0 |
| public get |
Ask server to process the respond. |
version 1.0.0 since 2.0.0 |
| public get |
Syntax sugar for human readability |
version 1.0.0 since 1.0.0 |
| public get |
when: RequestMatcher: * Alias for |
version 1.0.0 since 2.0.0 |
| Private Members | ||
| private |
_any: * |
|
| private |
Flag for response configuration |
since 2.0.0 |
| private |
Request matcher instance |
since 2.0.0 |
| private |
Flag for call count configuration |
since 2.0.0 |
| private |
Allow response key for configuration |
since 2.0.0 |
Method Summary
| Public Methods | ||
| public |
call(n: *, own: *): * |
|
| public |
extractParams(pathname: *, pattern: *): * |
|
| public |
|
|
| public |
getPath(request: *, response: *): * |
|
| public |
getResponse(request: *): * |
|
| public |
async match(request: *, server: *): * |
|
| public |
preset(name: *): * |
|
| public |
secondCall(own: boolean): * |
|
| public |
async sleep(delay: *) |
|
| public |
|
|
| public |
|
|
| public |
wrap(body: *, wrapper: *): * |
| Private Methods | ||
| private |
async _buildResponse(request: *, response: *): * |
|
| private |
_exceptionManagement(err: *, message: *): * |
|
| private |
Target the current response set based on call count configuration |
version 1.0.0 since 2.0.0 |
Inherited Summary
| From class ResponseConfigurator | ||
| public get |
Sugar for chaining |
version 1.0.0 since 2.0.0 |
| public get |
Sugar for chaining |
version 1.0.0 since 2.0.0 |
| public |
Stores the server instance |
since 2.0.0 |
| private |
Default response for fixture or preset. |
since 2.0.0 |
| private |
Allowed response keys |
since 2.0.0 |
| public |
Set the after callback |
version 1.0.0 since 2.0.0 |
| public |
Set the before callback |
version 1.0.0 since 2.0.0 |
| public |
body(body: String | Function): ResponseConfigurator Set the response body |
version 1.0.0 since 2.0.0 |
| public |
delay(delay: Boolean | Number): ResponseConfigurator Set the time the server will wait before sending back response |
version 1.0.0 since 2.0.0 |
| public |
header(name: String, content: String, append: Boolean): ResponseConfigurator Set a specific header value |
version 1.0.0 since 2.2.0 |
| public |
headers(headers: Object | Headers | Boolean): ResponseConfigurator One time setter for all headers |
version 1.0.1 since 2.0.0 |
| public |
pattern(pattern: String): ResponseConfigurator Set the pattern that will be used to match the request |
version 1.0.0 since 2.0.0 |
| public |
Set the response parameters based on the object provided |
version 1.0.0 since 2.0.0 |
| public |
status(status: Number): ResponseConfigurator Set the response status |
version 1.0.0 since 2.0.0 |
| public |
statusText(text: String): ResponseConfigurator Set the response status text |
version 1.0.0 since 2.0.0 |
| public |
wrapper(wrapper: Function | Boolean): ResponseConfigurator Set the response body wrapper |
version 1.0.0 since 2.0.0 |
| private abstract |
|
Public Constructors
public constructor(server: Server) version 1.0.0 since 2.0.0 source
Initialize the ResponseConfigurator helper
Override:
ResponseConfigurator#constructorParams:
| Name | Type | Attribute | Description |
| server | Server |
|
Server instance |
Public Members
public get any: * source
public get fallback: Fixture: * version 1.0.0 since 2.0.0 source
Alias for respond that always return the fallback fixture
public globalCalls: Array since 2.0.0 source
Stores the response which are specific to global call count
public get on: RequestMatcher: * version 1.0.0 since 2.0.0 source
Set the fixture in request matching mode. The matcher is behing a proxy to allow quick property mapping
public get respond: Fixture: * version 1.0.0 since 2.0.0 source
Ask server to process the respond. If the fixture is already in response mode, a new fixture will be returned. Otherwise, it will be the same fixture
Private Members
private _any: * source
Default response for fixture or preset. For fixture, it will be used when ordered responses are not matching defined call counts.
Override:
ResponseConfigurator#_anyprivate _responseKeys: Array since 2.0.0 source
Allow response key for configuration
Override:
ResponseConfigurator#_responseKeysPublic Methods
public extractParams(pathname: *, pattern: *): * source
Params:
| Name | Type | Attribute | Description |
| pathname | * | ||
| pattern | * |
Return:
| * |
public firstCall(own: boolean): * source
Params:
| Name | Type | Attribute | Description |
| own | boolean |
|
Return:
| * |
public getPath(request: *, response: *): * source
Params:
| Name | Type | Attribute | Description |
| request | * | ||
| response | * |
Return:
| * |
public async match(request: *, server: *): * source
Params:
| Name | Type | Attribute | Description |
| request | * | ||
| server | * |
Return:
| * |
public secondCall(own: boolean): * source
Params:
| Name | Type | Attribute | Description |
| own | boolean |
|
Return:
| * |
public async sleep(delay: *) source
Params:
| Name | Type | Attribute | Description |
| delay | * |
public thirdCall(own: boolean): * source
Params:
| Name | Type | Attribute | Description |
| own | boolean |
|
Return:
| * |
public throw(message: string) source
Params:
| Name | Type | Attribute | Description |
| message | string |
|
public wrap(body: *, wrapper: *): * source
Params:
| Name | Type | Attribute | Description |
| body | * | ||
| wrapper | * |
Return:
| * |
Private Methods
private async _buildResponse(request: *, response: *): * source
Params:
| Name | Type | Attribute | Description |
| request | * | ||
| response | * |
Return:
| * |
private _exceptionManagement(err: *, message: *): * source
Params:
| Name | Type | Attribute | Description |
| err | * | ||
| message | * |
Return:
| * |


--- layout: post title: "DI and events: Constructor Subscription" description: "Using Constructor Injection, you can subscribe to an event within the constructor, but should you?" date: 2013-09-06 09:07 UTC tags: [Dependency Injection] --- {% include JB/setup %}
{{ page.description }}
This post is the first in a series of articles about Dependency Injection and events.
Imagine that you have an interface that defines an event:
public interface IDependency { event EventHandler ItHappened; }
In order to keep the example simple, the ItHappened event carries no information; it just raises an event with an EventArgs instance. Thus, subscribers can react to the fact that this particular event happened, but there's no data contained in the event. However, the following discussion doesn't change if the event carries information.
A class must react to the events raised by IDependency implementations. A common approach is to subscribe to the event in the constructor. We can call this pattern Constructor Subscription:
public class NeedyClass { private readonly IDependency dependency; public NeedyClass(IDependency dependency) { if (dependency == null) throw new ArgumentNullException("dependency"); this.dependency = dependency; this.dependency.ItHappened += this.OnItHappened; } private void OnItHappened(object sender, EventArgs e) { // Handle event here } }
The concern is that, by subscribing to an event, the constructor violates Nikola Malovic's 4th law of IoC: Injection Constructors should perform no work.
This rule about Dependency Injection explains why you can compose big object graphs with confidence. Still, the most compelling reason for conforming strictly to the rule is most likely performance considerations. So, what if you subscribe to a single event or two during construction? Will it adversely (and noticeably) affect performance of your overall system?
As always, the answer to such questions is: measure. However, I'd be quite surprised if it turns out that a single event subscription has a huge impact on performance...
Consider the implementation of NeedyClass: it contains a design smell. Can you spot it?
Given the definition of the IDependency interface, the ItHappened event is the only member defined by the interface. If this is the case, then why is NeedyClass holding on to a reference of the interface?
You can remove the dependency
field from NeedyClass, and nothing is going to break:
public class NeedyClass { public NeedyClass(IDependency dependency) { if (dependency == null) throw new ArgumentNullException("dependency"); dependency.ItHappened += this.OnItHappened; } private void OnItHappened(object sender, EventArgs e) { // Handle event here } }
From the perspective of an outside observer, that's really strange. Why are we required to pass in an object that's not going to be used as is? Just like in a previous discussion about the implications of injecting IEnumerable<T>, if you're injecting an abstraction, and the constructor then starts querying, modifying, examining, or otherwise fidget with the injected object, then you're probably injecting the wrong object.
Keep in mind that Constructor Injection is a declaration of requirements. It's the declaring class that advertises to the world: these are (some of) my invariants. If the class can't use the injected dependency as is, it suggests that it requested the wrong object from its clients. The class with the Injection Constructor should declare what it really needs. In this case, it needs to react to events.
In the next post, I'll show you a better (i.e. simpler) design for reacting to events.
Some readers have commented that NeedyClass must keep the reference to IDependency in order to unsubscribe from the event. This is true, and something I overlooked when I originally banged together the sample code yesterday evening. Apparently, three unit tests were at least a test too few... :$
From a perspective of basic correctness, NeedyClass works appropriately, but as Geert van Horrik and Claus Nielsen point out, this could easily lead to resource leaks (although in practice, that depends on the effective lifetime of NeedyClass).
What happens when we start taking resource management into account?
Well, NeedyClass must be sure to unsubscribe from the event when it goes out of scope. The most correct way of making sure this happens is to implement IDisposable:
public class NeedyClass : IDisposable { private readonly IDependency dependency; public NeedyClass(IDependency dependency) { if (dependency == null) throw new ArgumentNullException("dependency"); this.dependency = dependency; this.dependency.ItHappened += this.OnItHappened; } private void OnItHappened(object sender, EventArgs e) { // Handle event here } public void Dispose() { this.dependency.ItHappened -= this.OnItHappened; } }
While this weakens the argument that NeedyClass is requesting the wrong kind of dependency, this is a lot of work just to consume an event. Furthermore, it isn't particularly safe, because you'll have to remember to dispose of all of your NeedyClass instances.
Thus, a better approach is still warranted.
Comments
Or if you want to be explicit about the dependencies, then go for something like NeedyClass : IHandle<ItHappened>. Nevertheless, dependency on ItHappened within NeedyClass would still easily be found with static analysis. A few lines of CQLinq with NDepend.


How We Planned & Ran the SRCCON Travel Scholarships
by Erika Owens
At OpenNews, our one big event each year is SRCCON. We put a tremendous amount of effort into making it as inclusive and accessible as possible, considering everything from how to allocate tickets to the food to natural light in the session rooms. As organizers, we think about these details in order to free up the brain space of attendees to do what they come to SRCCON to do–have great conversations.
But first, they have to get to the event itself. One component of accessibility for an event like ours is a travel scholarship program to help defray travel costs for participants.
We created a travel scholarship program, budgeted for it, and fundraised for sponsors to support it. This post will walk through the process of how we administer the program and some of the lessons we’ve learned as we’ve evolved our program over the last three years.
Setting up the program
We began by doing research into existing programs run by other organizations. What were the requirements like? What type of scholarships did they give out? Who did they give them to?
We reviewed this research and came up with a structure that we could support with our current administrative capacity, and that met our goals. The scholarships page on our site lays out the details. We kept scholarships a flat $500 for travel costs, plus a free ticket. This year we also offered a small number of $1,000 scholarships, which went to international participants. In allocating the scholarships, as we informed applicants, we prioritized applications from members of communities underrepresented in journalism and technology, as well as those from people who would be unable to facilitate an accepted session without the scholarship.
In outreach about our ticket lottery this year, we also encouraged people to apply for the scholarship. Moving to a lottery this year, rather than selling tickets first-come first-served, gave us a longer time period to do outreach, both to enter the lottery and apply for scholarships.
As we conducted outreach for applicants, we also did outreach for sponsorships. Each year we’ve been able to get sponsor support for our scholarship program, ranging from $3,000 to $10,000, as the scale of the program has changed and we’ve explored different types of sponsor partnerships. WordPress has been a fantastic supporter of this effort each year.
The application and evaluation
We tried to keep the application pretty short and straightforward.
We evaluated each application on a few criterion:
Underrepresented—demographics
This is based on the applicant’s answers to questions about whether they are a member of under-represented communities in journalism tech. Applicants indicate if they identify as a woman, person of color, and/or member of another under-represented group.Underrepresented—organization
This is based on the applicant’s organization (or role in the case of something like a freelancer) and how well-represented that organization is at SRCCON and in the journalism tech community.Unable to attend without scholarship
This is also based on the applicant’s personal answer about their level of need and expected level of financial support, if any, from their employer.Selected as session leader
This is based on data we already have about whether the person will be leading a session at SRCCON.Meaningful contribution of skills
This was to give another dimension beyond org/session leadership—but in reality, basically every applicant will have a meaningful contribution of skills! It mostly operates in downgrading incomplete or uncompelling applications.
For each of those categories, we rated each application 0-3. In some cases, it was basically yes or no, e.g. 0 if not a session leader, 3 if a session leader. In other cases, there was a bit of subjectivity, such as for underrepresented organizations. That’s a judgement call based on how well-represented that person’s organization was at SRCCON and whether it was an organization we want to connect with more. I did a first pass rating each application on these categories, and summed the totals. I then resorted all of the applications based on their totals and shared the sorted list with the rest of the OpenNews staff to discuss selecting the final list of recipients.
Selecting the recipients
The rating rubric helped us getting a sense of the number of strong applications and level of need. This year we received 75 scholarship applications. Our initial scholarship budget was for 20 scholarships, but when we looked at the list, we could have just given scholarships to 20 session facilitators, and we didn’t want to do that. That’s not how we intended the scholarship program to work and we know there’s a lot of reasons why someone may not feel comfortable facilitating (especially if they’ve never attended before).
Given that there were far more strong applications than the budget available, we prioritized applications from facilitators, locals to Portland, and participants from underrepresented organizations. We were lucky to have some flexibility in our budget so we could find other funds for 6 additional scholarships, plus a new sponsorship from the Dow Jones News Fund for three of their alumni to attend. Another area of flexibility in our budget was offering a couple of ticket-only scholarships. So in total, we were able to help 29 people in attend SRCCON—and we know there’s need for even more support than that.
Administering the scholarships
We notified all scholarships applicants about whether they would receive a scholarship. For scholarship recipients, we requested an invoice listing the scholarship, amount, and their contact information to send them a check (or a wire for international). It takes about 3 weeks to process the invoice, so we tried to do this as quickly as possible in case people needed to receive the funds before they can purchase their travel. We sent scholarship recipients a link to register for the event for free as well. I tracked registrations and invoices to make sure people responded to us, that they were able to come, and monitored our budget.
After the event, we asked participants for their feedback and will use that for planning next year.
Looking ahead
Our SRCCON experience influenced our process for our ticket+travel scholarship program, so we’re continuing to learn and evolve on how to help people get to these in-person events.
The application and payment process has been pretty straightforward for us so far, with the help of our accounting colleagues (thanks, Alex!). But there are some other process considerations we’ll need to think through. The first one relates to session facilitators.
What does it mean if organizations won’t even cover the travel of their staff to speak at an event? Is there a way we can encourage orgs to do more to support professional development (and publicity for their work) of their teams? Aside from that, we may need to handle facilitator needs differently so that scholarships do remain for people who are not facilitators.
We also have to confront how the scholarships relate to the limited number of tickets for SRCCON. Being a session facilitator is one way to ensure you have a ticket. Receiving a scholarship is another. Otherwise, it’s a lottery. We got three times as many session proposals as we had space for sessions,and those were fantastic proposals. Maybe we should make proposing a session a consideration in scholarship applications too, even if the proposal was not selected. I have heard concerns about people applying to a scholarship or pitching a session just as a way of securing a ticket, and I don’t think we saw that happening, in any significant way, but it’s something to keep an eye on.
Another consideration with accessibility is that even $500 does not cover all travel costs. We did consider doing full-travel-cost scholarships, but in trying to balance helping more people attend with the real cost of travel, I think flat-rate scholarships will continue to be the best option for us. Instead of full scholarships, we’ll continue our work keeping out of pocket costs low for SRCCON so that $500 stretches as far as possible. We’ll continue to seek out lower-cost cities for hosting SRCCON and we’re looking at other ways to support regional and topical events so SRCCON isn’t the only place each year for people to experience SRCCON. Moving the conference to different geographic regions, as we have each year so far, is also a strategy to help with costs, so people can attend when SRCCON is closer to home.
We’ve also heard that scholarship recipients would like to get to know each other, so that they can get to know new people before the event and stay in touch after. We added a question to the form this year asking if people were ok with sharing their information and most people said yes. Next year, we’ll develop a plan for how to do that. Some conferences do scholarship or fellowship breakfasts and a meetup like that might be a nice addition to our scholarship program.
Scholarships have proven to be an important part of our strategy in keeping SRCCON as accessible as possible, so we’ll continue iterating on our work here to make sure it responds to participants' needs. If you administer a program and have any suggestions, or just want to chat about what we’ve learned so far please feel free to reach out.
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Basic JavaScript
JavaScript code for creating variables, performing operations, concatenation, indexed arrays, and adding elements to arrays.
More Basic JavaScript
JavaScript code for creating if, if-else, and else-if statements; while and do-while loops; and functions and arguments.
Open Links in New Tab
JavaScript code for creating links that when selected opens a new tab instead of replacing what is on the current page.
Internal Link: Hover the cursor over the link and a tool-tip will appear displaying the value of the HREF, as well as its URL at the bottom right of the screen.
External Link: Hover the cursor over the link and its web address display at the bottom right of the screen.
Color Theory Page Links
JavaScript and jQuery code hides all the paragraphs except the first one upon page load. When a link is clicked the background color changes to the color that was selected. The image is replaced by a sample of an object of that color and text is displayed that gives some information about that particular color.
Rotate Images
JavaScript and jQuery code rotates the display of four differently-sized images. Each image fades in then fades out; the size and shape of the DIV changes with each image. When the page loads it always begins with the same image.


After great deliberation, {{data[1]}}, we've figured out your favorite dog. It's:
{% if data[2] == "static/paloma" %}
A Golden Lab/Husky mix!
{% elif data[2] == "static/choco" %}A Chocolate Lab!
{% elif data[2] == "static/gir" %}A Black Lab/Great Dane mix!
{% endif %} {% else %}They say a picture is worth a thousand words. Can you think of {{data[1]}} words to describe {{data[2].split("/")[1]}}?
{% endif %}


| Jump to DART Documentation Main Index |
This is the place for the general description of the module or program or whatever.
overview issues, how/when/why to use this thing, etc.
more stuff about code, usage, etc.
DART namelists are always read from file input.nml.
We adhere to the F90 standard of starting a namelist with an ampersand '&' and terminating with a slash '/' for all our namelist input. Character strings that contain a '/' must be enclosed in quotes to prevent them from prematurely terminating the namelist.
&NAMELIST_NML name=value, name=value, name=value /
| Item | Type | Description |
|---|---|---|
| name | type | (often multi-line) description |
types_mod model_mod assim_tools_mod time_manager_mod fms_mod
| use xxxxxxx, only : | yyypubtype1 |
| yyyroutine1 | |
| yyyroutine2 | |
| yyyroutine3 |
A note about documentation style. Optional arguments are enclosed in brackets [like this].
type location_type private real(r8) :: x end type location_type
The location type is essential to the fabric of the universe. If we don't know where we are, how do we know which exit to take?
| Component | Description |
|---|---|
| x | is the nondimensional distance [0,1] |
type(time_type), intent(in) :: var1 real(r8), dimension(:), intent(inout) :: var2 real(r8), dimension(:,:), intent(out) :: var3 real(r8), optional, intent(in) :: global
Returns the resolution of compute domain for either the
current processor or the global domain.
This is the best thing since sliced bread. All you have to do is
throw some arguments in the call and the subroutine automatically
slices, dices and makes julienne fries. But wait! There's more!
| var1 | is the number of spark plugs in a '67 Cuda. |
| var2 | is used for both input and output. Upon input, this contains the furlongs per weekday for every vertical level. Upon exit, we now have the number of spotted gobies per square hectare at that level. |
| var3 | The leftmost dimension pertains to the number of feet in an orange-footed brush fowl, indiginous to Australia. The next dimension is the number of feathers on said fowl, naturally. |
| global | is really, REALLY useful in certain situations. |
notes would go here
type(time_type), intent(in) :: var1 real(r8), dimension(:), intent(in) :: var2 real(r8), dimension(:,:), intent(in) :: var3 real(r8), optional, intent(in) :: bob integer, dimension(size(var2)) :: yyyroutine2
Returns the resolution of compute domain for either the current
processor or the global domain. All input variables are not changed.
Otherwise, this would be a subroutine.
This is the second-best thing since sliced bread. All you have to do is
throw some arguments in the call and the function automatically
deep fries.
| var1 | the first time you changed your oil. |
| var2 | miles between every oil change you've ever done. Don't lie. |
| var3 | the distances you've ridden. Each row corresponds to the hour-of-day, each column is a different day-of-the-week. |
| bob | mean time between failures. in msec. |
| yyroutine2 | number of gray hairs as a function of time. in kilohairs. |
notes would go here
This is the place to discuss the files that are associated with this module. They could be input files, output files, data files, shell scripts ... anything.
| filename | purpose |
|---|---|
| inputfile1 | to read some input |
| input.nml | to read namelists |
| preassim.nc | the time-history of the model state before assimilation |
| analysis.nc | the time-history of the model state after assimilation |
| dart_log.out [default name] | the run-time diagnostic output |
| dart_log.nml [default name] | the record of all the namelists actually USED - contains the default values |
| Routine | Message | Comment |
|---|---|---|
| xxxx | size of [argument] is incorrect | The size of [argument] must be 1 and 4 |
| xxxx | yyyyy | bad judgement What were you thinking? |
none at this time
none at this time
N/A
Any routines or 'local' variables of interest may be discussed here. There are generally lots of 'internal' functions that make life simpler, but you don't want to make them available outside the scope of the current module. This is the place to point them out, if you like.
type location_type private real(r8) :: x end type location_type
DART software - Copyright UCAR. This open source software is provided by UCAR, "as is", without charge, subject to all terms of use at http://www.image.ucar.edu/DAReS/DART/DART_download


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Shiny (Bonus)
Straight from the RStudio website:
“Shiny is an R package that makes it easy to build interactive web apps straight from R. You can host standalone apps on a webpage or embed them in R Markdown documents or build dashboards. You can also extend your Shiny apps with CSS themes, htmlwidgets, and JavaScript actions.”
This is a bonus section, so I will not teach you anything here. I just want to talk about the Shiny package or framework, if we can call it that. Shiny is a package, however, it is so big and spun so many additions that I want to call it a framework. If you do not know what a framework is, it is something between a package and a whole new language. Anyway, Shiny is big and it has its own special sintax. That is why I want to call it a framework.
Around the time when I was messing around with maps and flexdashboards, I started to run into some limitations of static code. I could only display data once. If, for example, I wanted to change a timeline on a plot, I needed to re-aggregate my data and re-render the plot again. Basically, I needed a new script. I thought, ‘It would be cool if I just could add a slider or a switch to the flexdashboard that would do something like that.’ I was told that there is a solution, the package called ‘Shiny’.  Still think that. Why not ‘Pink Unicorn’? I would name it ‘the Plague’ or ‘the Archangel’ or something cool like that.
Anyway, I started learning Shiny and it was amazing. Basically, in a matter of days, I turned from a data janitor to a web app developer. It was definitely hard and it took me many months, but even in the beginning, I knew that this is how I will learn the rest of R. Below is the generic Shiny App that uses data that RStudio provides for us. The app does not do much, but you can already see reactivity. Just copy the code and paste it into a new R script and it will render an app.
library(shiny)
# Define UI for application that draws a histogram
ui <- fluidPage(
# Application title
titlePanel("Old Faithful Geyser Data"),
# Sidebar with a slider input for number of bins
sidebarLayout(
sidebarPanel(
sliderInput("bins",
"Number of bins:",
min = 1,
max = 50,
value = 30)
),
# Show a plot of the generated distribution
mainPanel(
plotOutput("distPlot")
)
)
)
# Define server logic required to draw a histogram
server <- function(input, output) {
output$distPlot <- renderPlot({
# generate bins based on input$bins from ui.R
x <- faithful[, 2]
bins <- seq(min(x), max(x), length.out = input$bins + 1)
# draw the histogram with the specified number of bins
hist(x, breaks = bins, col = 'darkgray', border = 'white')
})
}
# Run the application
shinyApp(ui = ui, server = server)
It is not our goal here to understand the code, but, if you are curious, below is a diagram of what each chunk does.
This is what this generic app should look like by the way:
Let’s take one of the datasets that we saved a while ago and generate our own app by modifying that generic code.
First, I will load the libraries that I will need:
library(shiny)
library(data.table)
library(dplyr)
library(lubridate)
library(ggplot2)
library(ggthemes)
library(scales)
library(plotly)
Then, I will load some data that we saved a while ago. I think, that data-set holds average ages of incoming vehicles by month.
I will modify the generic app code to show the plotly plot while being able to filter it with a double slider. Will not explain how, though, as this is just a demonstration.
ui <- fluidPage(
# Application title
titlePanel("Avg. Age of New Vehicles"),
# Sidebar with a slider input for number of bins
sidebarLayout(
sidebarPanel(
sliderInput("monthdate", "Choose a Date Range",
min = min(forBarPlot$date),
max = max(forBarPlot$date),
value = c(min(forBarPlot$date),
max(forBarPlot$date)),
timeFormat="%b %Y")
),
mainPanel(
plotlyOutput("plot")
)
)
)
server <- function(input, output) {
# Dynamically filtering the dataset based on slider values and storing it
# in the 'data' variable.
data <- reactive({
forBarPlot %>% dplyr::filter(date >= input$monthdate[1], date <= input$monthdate[2])
})
# Plotting.
ggplotly(
ggplot(data(), aes(date, age)) +
geom_bar(stat = "identity") +
labs(title="Incoming Cars (by age)",
x="Date (month)", y="Age") +
scale_x_date(labels = date_format("%Y-%b"),
breaks = date_breaks("1 months")) +
theme(axis.text.x = element_text(angle = 45, hjust = 1)) +
theme_hc()
)
}
# Run the application
shinyApp(ui = ui, server = server)
This is what our app ‘new cars’ app should look like:
Great! We built an app. What now? It is a good start. Keep practicing and in six to eight months you will be able to build this: TLC Data Hub. At least, that is how long it took me.
This was just a glimpse of what is coming in the next books. This app lives on your computer now. It will not open on anybody else’s computer unless that computer has R installed along with everything that you used to created this app. To share a Shiny app you need to host it. That and many other techniques and tricks will be covered in the next books.
R, Not the Best Practices by Nikita Voevodin is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.


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Recommended Reading: The 'fingerprints' of bourbon
The best long-form writing on technology and more on the web.
by Billy SteeleFinish up your weekend with glass of your favorite bourbon. And while you imbibe, these findings from researchers at the University of Louisville (because of course) will keep you company. A team from the school's department of mechanical engineering observed web-like patterns or "fingerprints" when a drop of American whiskey evaporated. The same characteristic isn't present in Scotch whisky or other liquors. What's more, each pattern was a unique indicator of both whiskey type and age.
The ransomware superhero of Normal, Illinois
Renee Dudley,
ProPublica
In a piece co-published with the Chicago Sun-Times and The Pantagraph, Pro Publica tells the story of a programmer and repair store employee who has helped hundreds of thousands of ransomware victims recover their files.
Jeff Bezos's master plan
Franklin Foer,
The Atlantic
An in-depth look at the mindset of the Amazon CEO that includes plans for space, how he runs his company and government contracts.


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Alappuzha (Alleppey) is known as ‘the Venice of the East’. Offering the best tourist places in Alleppey,
this charming place is the hub of Kerala’s backwaters and is home to a huge network of backwaters and more
than thousand houseboats. A perfect place to unwind with its laidback canals and lush greenery. It is one
of Kerala’s most mesmerisingly beautiful and relaxing experiences.
Winter(December to February)
This season is the best season to visit Alleppey because the weather remains pleasant and perfect for sightseeing
activities in Alleppey. The winter season starts from the month of November and ends on February. The temperature
ranges between 17°C and 32°C.
Summer (March to May)
The weather during summers remains extremely humid. The temperature varies between 25°C to 37°C. Even if the days
are hot, evenings are cool this destination is ideal for sightseeing and backwater excursions.
Monsoon (June to September)
Alleppey receives heavy rainfall during this season. You may not be able to enjoy the outdoor activities like other seasons
, but you can enjoy monsoon season applauding the beauty of Alleppey.
1. Kuttanad Backwaters
The gorgeous surroundings of the Kuttanad Backwaters is a sight to behold. With paddy fields everywhere and the
calm waters, there is nothing more that one can ask for on a relaxed holiday. You have many experiences to savour
in Kuttanad. There is the backwater river cruise, boat rides and you can even devour delicious seafood at the
restaurants near the lake.
2. Alappuzha Beach
It is one of the most popular attractions in the city. The scenic beach has a 150-year old pier merging
into the sea. Alappuzha beach hosts many festivals including the famous Sand Art Festival. While the beach
is loved by visitors who want to spend some quiet time, the place is also a hit among adventure lovers.
You can try surfing, parasailing, and other activities on the beach
3. Krishnapuram Palace
Boasting the quintessential architectural style of Kerala, Krishnapuram Palace is a gorgeous 18th-century affair.
Dormer windows, a gabled roof and narrow corridors lend it uniqueness. Once the property of Maharaja Marthanda
Varma of Travancore, this palace (also includes a museum) is currently under the Kerala State Department of
Archaeology’s care. Soak in the serenity of the large pond inside the palace, which is believed to conceal
underground escape paths from enemies. Spare some time to admire a Bible written in Sanskrit and a double-edged
sword called Kayamkulam Val.
4. Vembanad Lake
The longest lake in India, Vembanad Lake flows across several districts in Kerala. It is called by several
names including Punamada Lake, Kochi Lake, and Vembanadu Lake. Among the major highlights of this lake is
Kettuvallams (houseboats), numerous resorts along the banks and the famous Nehru Trophy Boat Race.
5. Pathiramanal
Pathiramanal means ‘Sands of the Night’. A small lake island on the backwaters of Lake Vembanad, it is an ideal
spot to observe birds. There are more than 91 species of local and 50 species of migratory birds. Explore the
island and you will be surprised to find yourself surrounded by some rare species of birds and chirping sound coming
from everywhere.
6. Ambalappuzha Sree Krishna Temple
It is also called as ‘Dwarka of the South’, Ambalapuzha Sree Krishna Temple is said to be built between 15th – 17th century AD. Dedicated
to Lord Krishna, the temple is one of the oldest shrines in the region. The main deity in the temple is Parthasarathi, which is
another name for Lord Krishna. The idol is carved out of black granite and has a conch (shankh) in the left hand and holds a whip
in right hand. The temple has traditional Kerala style architecture and is famous for its unique prasad – Pal Payasam, a milk and rice pudding.
7. Marari beach
Turquoise water, golden sand, and palm trees at the backdrop make Marari an ideal retreat for a beach vacation. If this isn’t enough
to excite you, Marari beach was named among the top five ‘Hammock Beaches in the World’ by National Geographic Survey. You can try
deep-sea fishing, surfing, parasailing, and water-skiing at the beach.
8. Karumadi
Karumadi is a small village which is famous for a 3 ft. tall, half broken statue of Lord Buddha; the left-hand side
of the statue is missing. This black granite statue that is believed to be dating back to the 11th century was abandoned
in a nearby stream and recovered by a British official named Sir Robert Bristow in 1930s. It is said that the statue
has healing powers and anybody who touches the feet of the statue gets rid of their illness.


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We @ Developer Student Club NUS are launching our very first Data Analytics Workshop Series, kicking off with an Intro to Data Analytics with Python Workshop!
Through this series, we aim to equip anyone with zero analytics or programming knowledge with the skills required to tackle the essential components of any data analytics project.
Python is our language of choice for Data Analytics. In our
first introductory workshop, we'll be getting everyone up to
speed with the fundamentals of programming in Python, as well as
to set up a proper data science environment on your machine.
From there, you'll have your bases covered to explore the rest
of the data science ecosystem.
Topics covered: a) Programming in Python b) Setting up a Data
Science Environment w/ Anaconda and Jupyter c) Utilizing
third-party libraries d) Git for Version Control
Before any data analytics project, data needs to be collected. Data collection can be challenging when we are interested in different data sources. In this 2nd of 5-workshop series on Data Analytics, DSC NUS covers the Python Reddit API Wrapper (PRAW) for text collection. We learn to collect, save and load data for analysis in the next workshop.
To be updated
In this 3rd of 5-workshop series on Data Analytics, we learn how to manipulate our data using Pandas, a powerful data analysis library in Python, and learn to visualise our data in Matplotlib, a plotting library in Python that generates various plots for analysis. Thereafter, using our data, we learn how to do Feature Engineering - that is, preparing our data, in ways that are suitable and optimal for our Machine Learning algorithms that will be covered in the next workshop.
To be updated
After you have done a large amount of work manipulating, analysing and cleaning your
data, it is time for your data to do the work for you.
But creating your model is only the first step, how do you know whether your model worked?
That is where evaluating and validation comes into play. Join us to learn more about
validation and see your model improve as it gets “trained”.
To be updated
Have the next big data science idea? Find like-minded individuals to join your team,
or join a team with an exciting idea!
Join us, in the last of 5-workshop series on Data Analytics, as we join forces
to construct a project outline, consisting of a target problem statement, list
of actionable tasks, manpower delegation, and metric of project success.
Teams will be guided on scoping the project outline to be specific, targeted,
technically feasible and be provided with suggestions on possibly more useful/
relevant tools for their proposed approach.
Teams can then get started on their next big idea!
To be updated


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Cispy is a JavaScript library that implements CSP processes and channels. While it represents another in a long line of JavaScript concurrency solutions (callbacks, promises, FRP, async functions, and so on), it's also an excellent tool for writing fully decoupled code, whether or not concurrency is a need.
More information about Cispy and CSP in general is available in other sections of the site.
- What is CSP? (coming soon)
- API Documentation
- Cispy Examples
Installation
In node.js (or using Browserify, Webpack, etc.):
npm install cispy
In the browser:
Download dist/cispy.js and put it into a directory of your choice.
Usage
In node.js (or with Webpack, etc.):
const cispy = require('cispy');
cispy.go(function*() {
...
});
In the browser:
<script src="js/cispy.js"></script>
<script>
cispy.go(function*() {
...
});
</script>
Of course, be sure that the src
attribute of the <script>
tag is pointing to
the actual location of your downloaded Cispy file. This exposes a global variable named cispy
.
In both of these cases, what you get is a transpiled library that will work fine in an ES5 environment, adding all of the ES2015/2017 features that are required without polluting the global namespace. It is still standard to distribute in ES5.
If you're building your own library, however, you may not want or need to be limited to ES5. If this is the
case, you can change your require
line to this:
const cispy=require('cispy/src/cispy');
This will supply the ES2015 source, which you can use in an ES2015 environment, to do your own transpiling
later, etc. There is no option for an ES2015 browser distribution at this time, because there are still too
many browsers in common use that don't support ES2015/2017 features. If you don't care and want to use ES2015
code in the browser anyway, then make a Webpack project and load Cispy through the require
expression just above.
New in 1.0: Cispy/promise works with async functions
An async function, new in ES2017 but already pretty well supported in browsers, does a very good imitation of
a CSP process. Cispy now includes a separate promise-based library that uses
async
/await
in place of function*
/yield
.
This is not production-ready code. In particular, figuring out how to fake JavaScript timers in the context of async functions is proving difficult, and this is central to testing many parts of the system. So I've temporarily disabled all of the unit tests for this async function-based implementation. Everything seems to work well when I test manually, but until I can verify that over and over, caveat emptor.
This promise-based implementation is available to browsers at
dist/cispy.promise.js
and is included in the distribution for node.js users. The require
statement for this version is
const cispy = require('cispy/promise');
Or, if you prefer using ES2015/2017 directly:
const cispy = require('cispy/src/promise');
Either way, you still get a cispy
object, and it does the same thing as the standard object
except using promises instead of generators. The only difference in the API is that goSafe
and
spawn
do not exist in the promise-based implementation because they aren't necessary when you don't
have processes.
API Documentation
API documentation is available that covers every available function. More documentation about the concepts and how to use CSP in general is planned, though admittedly every time I write something I think of three more things to write about.
Some of the best documentation is probably the unit tests available in the source's test directory.
Examples
There are a few examples (slowly growing) of Cispy at work. Explanations are included along with the code.
Requirements
Cispy requires ES2015 generators.
Browsers
| Browser | Version | Notes |
|---|---|---|
| Chrome | 39.0 | There has been experimental generator support in Chrome since 26.0. |
| Firefox | 29.0 |
Generators were actually implemented in version 26.0, but the generator functions themselves would throw an error (instead of returning a result object) when they completed. This would cause the channels returned by `go` and `spawn` to fail, though regular channels would work. Older versions of Firefox did have generator support, but for a generator proposal that did not come to pass. These versions will not work. |
| Opera | 26 | |
| Internet Explorer | no support | |
| Edge | 13 | Experimental support can be enabled in version 12 via "Enable experimental JavaScript features" under about:flags |
| Safari | 10 |
Runtimes
| Runtime | Version | Notes |
|---|---|---|
| Node.js | 4.0 |
Support was enabled as of 0.11.6 but required using the --harmony or
--harmony-generators flags.
|
Requirements for Cispy/promise
Cispy/promise requires ES2017 async functions. Well, that's not completely true - it'll work in any environment that supports promises. But the library was designed to work with async functions, so using the promise-based channel functions with plain promises is pretty painful and very much not recommended.
Browsers
| Browser | Version | Notes |
|---|---|---|
| Chrome | 55.0 | |
| Firefox | 52.0 | |
| Opera | 42 | |
| Internet Explorer | no support | |
| Edge | 15 | Experimental support can be enabled in version 14, build 14342 or later via about:flags. |
| Safari | 10.1 |
Runtimes
| Runtime | Version | Notes |
|---|---|---|
| Node.js | 7.6 |
Support was enabled as of 7.0 but required using the --harmony or
--harmony-async-await flags.
|
Transpilers
Every modern non-supported browser above can have support enabled by transpiling your code into ES5 code. These transpilers all work well.
Transducers
Cispy channels have support for transducers that follow the pseudo-standard that seems to have been established among the maintainers of several JavaScript transducer libraries. All of the following should be compatible with Cispy channels:
- Xduce by Barandis (me)
- transducers-js by cognitect-labs (the same folks that created the transducers used in Clojure)
- transducers.js by jlongster
Each of these libraries is a bit different from the others, though all are excellent. Though they all should work well, I have of course done most of my testing only with my own library.
Important note: These transducer libraries established a protocol and an option to use symbols instead of strings for the protocol property names. Unfortunately, the other libraries seem to have stopped development over a year ago. I intend soon to switch Xduce over to symbols, reasoning that now that ES2017 is out we should probably be ready to use ES2015 stuff. When that happens, the other transducer libraries won't work so well unless they also upgrade to symbols.
Inspiration
Aside from the actual Go and Clojure implementations of CSP, there have been some people whose work has been invaluable in progressing CSP.
Other JS implementations
The second is actually a fork of the first, so there are a lot of similarities. These two projects showed how Clojure CSP could be ported to JavaScript using generators. Cispy is modeled around the techniques used by both of these. Unfortunately they haven't been updated much in the last 1-2 years.
Articles/Blog posts
- Communicating Sequential Processes by swannodette (in Clojure)
- Taming the Asynchronous Beast by jlongster
License
MIT License


Charmander
Starting
fire type
pokemon
from the first generation of
pokemon
. One of the three starting
pokemon
in the Kantо region.
Evolves
into
Charmeleon
at level 16.
Charmeleon
evolves
into
Charizard
at level 36.


This is my about me page. Bienvenue!
I am currently enrolled in the Code Fellows 201 class. I am using this page to practice my new skills. In addition, I made a little quizz about me that teaches you basically nothing a good old-fashioned conversation with me wouldn't but that's ok, I don't do conversation that well anyway.


Indian developer directory
Indian Developers
company name
company ceo
company location
Microsoft
Bill Gates
USA


Use the Caps Lock key as a modifier key, but for getting access to the German letters.
Easy access to äöü, ÄÖÜ, and ß.
All of the rules are toggleable on/off
BE AWARE, there is a rule to disable use of the Caps Lock key.
Any keyboard with the standard Latin characterset is supported. The purpose of this modification is to enable use of the German characters on a keyboard that doesn't have them.
As long as you have a Caps Lock key, as well as [aous], you're good to go.
That said, it's limited to ANSI or ISO keyboards with an English input language.
I don't like the press-and-hold default system for getting access to the German characters. On Windows, I had used AutoHotKey to create a script that disables the caps lock key, and uses it as amodifier to get access to the characters. I ported that over to my new macOS machine.
| Key | Maps To |
|---|---|
| CapsLock + a | ä |
| CapsLock + o | ö |
| CapsLock + u | ü |
| CapsLock + s | ß |
| CapsLock + Shift + a | Ä |
| CapsLock + Shift + o | Ö |
| CapsLock + Shift + u | Ü |


Movie Info
About
Search For Any Movies
Search
Search for movies, web series, TV series
We use IMDB api service to show your desired search result. If you misspell the name, search result won't show anything.


{{ define "title" }}Setup{{ end }} {{ define "content" }}
This looks like a new instance of SUFR. Please register your admin user and configure the application below.


The tidymodels
package is now on CRAN. Similar to its sister package tidyverse
, it can be used to install and load tidyverse packages related to modeling and analysis. Currently, it installs and attaches broom
, dplyr
, ggplot2
, infer
, purrr
, recipes
, rsample
, tibble
, and yardstick
.
library(tidymodels)
#> ── Attaching packages ───────────────────────────────── tidymodels 0.0.1 ──
#> ✔ ggplot2 3.0.0 ✔ recipes 0.1.3
#> ✔ tibble 1.4.2 ✔ broom 0.5.0
#> ✔ purrr 0.2.5 ✔ yardstick 0.0.1
#> ✔ dplyr 0.7.6 ✔ infer 0.3.0
#> ✔ rsample 0.0.2
#> ── Conflicts ──────────────────────────────────── tidymodels_conflicts() ──
#> ✖ rsample::fill() masks tidyr::fill()
#> ✖ dplyr::filter() masks stats::filter()
#> ✖ dplyr::lag() masks stats::lag()
#> ✖ recipes::step() masks stats::step()
tidymodels
also contains a burgeoning list of tagged packages. These can be used to install sets of packages for specific purposes. For example, if you are in need of additional tidy tools for analyzing text data:
tag_attach("text analysis")
#> ── Attaching packages ───────────────────────────────── tidymodels 0.0.1 ──
#> ✔ tidytext 0.1.9 ✔ keras 2.1.6
These tags will be updated with each version of tidymodels
as new packages are released.
The number of tidyverse modeling package continues to grow. Some packages on the development horizon include:
parsnip
: a unified interface to models. This should significantly reduce the amount of syntactical minutia that you’ll need to memorize by having one standardized model function across different packages and by harmonizing the parameter names across models.dials
: tools for tuning parameters.dials
contains objects and methods for creating and validating tuning parameter values as well as grid search tools. This is designed to work seamlessly withparsnip
.embed
: an add-on package forrecipes
. This can be used to efficiently encode high-cardinality categorical predictors using supervised methods such as likelihood encodings and entity embeddings.modelgenerics
: a developer-related tool. This lightweight package can help reduce package dependencies by providing a set of generic methods for classes which are used across packages. For example, if you are creating a newtidy
method for your model, this package can be used instead ofbroom
(and its dependencies).
Keep an eye on the tidymodels organization page for up-to-date information.


Bound (1996) A film review by Michael Dequina Copyright 1996 Michael Dequina
Bound (R) **** (out of ****) On paper, the noir thriller Bound did not seem like the most promising of cinematic prospects. Writers-directors Larry and Andy Wachowski's only other major credit was for writing Richard Donner's entertaining but overblown Assassins; lead Jennifer Tilly has a tendency to be grating, to say the least; and co-star Gina Gershon was just coming off her overwrought camp queen turn in Showgirls. But thanks to a clever script, strong performances, and very accomplished direction, Bound is one of the year's biggest surprises. I thought my low expectations were being met during the film's first twenty minutes, in which mafia moll Violet (Tilly) tries to seduce the lesbian grease monkey ex-con (Gershon) next door. With Tilly delivering her come-hither lines in an even softer, squeakier voice than usual and Gershon's Corky keeping one eyebrow perpetually raised, these opening scenes play like Showgirls 2; in fact, some of the dialogue is reminiscent of the infamous "tit" discussion scene in Joe Eszterhas's notorious script. Needless to say, Violet and Corky finally do end up in bed, and the big sex scene is actually done very discreetly and tastefully though it still elicited some giggles from the audience. These opening moments are something of a joke. It's as if the Wachowskis knew expactly what the audience was expecting--cheesy lesbian sex--so they delivered it in all its campy glory. But in doing so, it gets that lesbian angle out of the way quickly, so when the main plot does get into gear, the audience is not distracted by the anticipation of the big sex scene. As laughable as the opening minutes are, they are key to understanding the relationship between the two women, and they take on a greater dimension in retrospect as the movie unfolds. After the sex scene, the tone quickly shifts, and the main plot is set into motion. Violet, fed up with the violent antics of her boyfriend, mob launderer Ceasar (Joe Pantoliano), wants to leave him--but not without absconding with $2,000,000 of the mob's cash. And who does she enlist to help her in her scheme? Why, none other than Corky, who cooks up a "foolproof" plan to steal the cash and frame Ceasar for the theft. However, you know what they say about the best laid plans of mice and men... This all sounds fairly formulaic, and, to a certain extent, it is. But what makes Bound so special is the work of the Wachowski brothers. Their script piles on twist after twist and close call after close call, and the developments are very believable and not out of left field. For example, in a particularly suspenseful scene, a mob figure (John P. Ryan) breaks out a set of lockpicks to open a locked case, much to the shock of Ceasar; this revelation does not come off as gimmicky because, earlier, he nonchalantly unlocked a door without a key. The Wachowskis pay close attention to those little details, ones that the audience does not typically pick up on, using them to rattle the audience later on without insulting their intelligence. Another refreshing aspect of the script is the presence of three strong and intelligent characters. At first, it appears as if Corky is the only one with brains, but as the film progresses Violet and especially Ceasar prove to be not nearly as dumb as they appear, giving just as good as they get. The casting of Tilly and Pantoliano is perfect; Tilly's squeaky voice and Pantoliano's New Yawk accent and buffoonish demeanor would make it easy for someone to underestimate them. As well-crafted as their script is, the Wachowskis energize it with a hefty dose of style. The film is always visually interesting, using varieties of camera angles and movements, occasionally venturing into slow-mo without overusing it. One of their more interesting touches is aping certain visual cues from other films and putting their own twisted spin on them: Jurassic Park's famous image of quivering water is duplicated--in a toilet bowl; and the bravura opening shot of Krzysztof Kieslowski's Red, which travels along long-distance telephone lines, is evoked in a clever and hilarious way. Unlike some directors, who go for the good-looking shot, plot credibility be damned, the Wachowskis come up with some stunners that work well within the story, such as when a person gets shot while standing in a pool of white paint, eventually falling in. It's a great-looking image, with the blood clashing against the white, but the presence of the paint is explained by the fact that, earlier in the film, Corky is shown painting her apartment. Bound has just come off of a tour of various film festivals, becoming an audience favorite at every one of them. As it embarks on its run in (mainly arthouse) theatres, I am sure it will become a favorite of everyone fortunate enough to be sitting in the auditorium.
Michael Dequina<EMAIL_ADDRESS>Visit Mr. Brown's Movie Site at http://members.tripod.com/~MrBrown/
"It's not my fault If in God's plan He made the devil so much Stronger than a man" --Frollo (Tony Jay), "Hellfire," Disney's The Hunchback of Notre Dame
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


class: center, middle, inverse, title-slide # Formalizing linear models --- class: center, middle # Characterizing relationships with models --- ## Data & packages ```r library(tidyverse) library(broom) ``` ```r pp <- read_csv("../../data/paris-paintings.csv", na = c("n/a", "", "NA")) ``` --- ## Want to follow along? Download the "Modelling Paris Paintings" dataset [here](https://github.com/jobschepens/EW-M7E4/blob/master/data/paris-paintings.csv) --- ## Height & width ```r (m_ht_wt <- lm(Height_in ~ Width_in, data = pp)) ``` ``` ## ## Call: ## lm(formula = Height_in ~ Width_in, data = pp) ## ## Coefficients: ## (Intercept) Width_in ## 3.6214 0.7808 ``` --
 `$$\widehat{Height_{in}} = 3.62 + 0.78~Width_{in}$$` -- - **Slope:** For each additional inch the painting is wider, the height is expected to be higher, on average, by 0.78 inches. -- - **Intercept:** Paintings that are 0 inches wide are expected to be 3.62 inches high, on average. - Does this make sense? --- ## The linear model with a single predictor - We're interested in the `\(\beta_0\)` (population parameter for the intercept) and the `\(\beta_1\)` (population parameter for the slope) in the following model: $$ \hat{y} = \beta_0 + \beta_1~x $$ -- - Tough luck, you can't have them... -- - So we use the sample statistics to estimate them: $$ \hat{y} = b_0 + b_1~x $$ --- ## Least squares regression The regression line minimizes the sum of squared residuals. -- If `\(e_i = y - \hat{y}\)`, then, the regression line minimizes `\(\sum_{i = 1}^n e_i^2\)`. --- ## Visualizing residuals ![](x2-formalizing-linear-models_files/figure-html/unnamed-chunk-4-1.png) --- ## Visualizing residuals (cont.) ``` ## `geom_smooth()` using formula 'y ~ x' ``` ![](x2-formalizing-linear-models_files/figure-html/unnamed-chunk-5-1.png) --- ## Visualizing residuals (cont.) ``` ## `geom_smooth()` using formula 'y ~ x' ``` ![](x2-formalizing-linear-models_files/figure-html/unnamed-chunk-6-1.png) --- ## Properties of the least squares regression line - The regression line goes through the center of mass point, the coordinates corresponding to average `\(x\)` and average `\(y\)`: `\((\bar{x}, \bar{y})\)`: `$$\hat{y} = b_0 + b_1 x ~ \rightarrow ~ b_0 = \hat{y} - b_1 x$$` - The slope has the same sign as the correlation coefficient: `$$b_1 = r \frac{s_y}{s_x}$$` - The sum of the residuals is zero: `$$\sum_{i = 1}^n e_i = 0$$` - The residuals and `\(x\)` values are uncorrelated. --- ## Height & landscape features ```r (m_ht_lands <- lm(Height_in ~ factor(landsALL), data = pp)) ``` ``` ## ## Call: ## lm(formula = Height_in ~ factor(landsALL), data = pp) ## ## Coefficients: ## (Intercept) factor(landsALL)1 ## 22.680 -5.645 ``` --
 `$$\widehat{Height_{in}} = 22.68 - 5.65~landsALL$$` --- ## Height & landscape features (cont.) - **Slope:** Paintings with landscape features are expected, on average, to be 5.65 inches shorter than paintings that without landscape features. - Compares baseline level (`landsALL = 0`) to other level (`landsALL = 1`). - **Intercept:** Paintings that don't have landscape features are expected, on average, to be 22.68 inches tall. --- ## Categorical predictor with 2 levels ``` ## # A tibble: 8 x 3 ## name price landsALL ## <chr> <dbl> <dbl> ## 1 L1764-2 360 0 ## 2 L1764-3 6 0 ## 3 L1764-4 12 1 ## 4 L1764-5a 6 1 ## 5 L1764-5b 6 1 ## 6 L1764-6 9 0 ## 7 L1764-7a 12 0 ## 8 L1764-7b 12 0 ``` --- ## Relationship between height and school ```r (m_ht_sch <- lm(Height_in ~ school_pntg, data = pp)) ``` ``` ## ## Call: ## lm(formula = Height_in ~ school_pntg, data = pp) ## ## Coefficients: ## (Intercept) school_pntgD/FL school_pntgF school_pntgG ## 14.000 2.329 10.197 1.650 ## school_pntgI school_pntgS school_pntgX ## 10.287 30.429 2.869 ``` -- - When the categorical explanatory variable has many levels, they're encoded to **dummy variables**. - Each coefficient describes the expected difference between heights in that particular school compared to the baseline level. --- ## Categorical predictor with >2 levels .small[ ``` ## # A tibble: 7 x 7 ## # Groups: school_pntg [7] ## school_pntg D_FL F G I S X ## <chr> <int> <int> <int> <int> <int> <int> ## 1 A 0 0 0 0 0 0 ## 2 D/FL 1 0 0 0 0 0 ## 3 F 0 1 0 0 0 0 ## 4 G 0 0 1 0 0 0 ## 5 I 0 0 0 1 0 0 ## 6 S 0 0 0 0 1 0 ## 7 X 0 0 0 0 0 1 ``` ] --- ## The linear model with multiple predictors - Population model: $$ \hat{y} = \beta_0 + \beta_1~x_1 + \beta_2~x_2 + \cdots + \beta_k~x_k $$ -- - Sample model that we use to estimate the population model: $$ \hat{y} = b_0 + b_1~x_1 + b_2~x_2 + \cdots + b_k~x_k $$ --- ## Correlation does not imply causation! Remember this when interpreting model coefficients --- class: center, middle # Prediction with models --- ## Predict height from width .question[ On average, how tall are paintings that are 60 inches wide? `$$\widehat{Height_{in}} = 3.62 + 0.78~Width_{in}$$` ] -- ```r 3.62 + 0.78 * 60 ``` ``` ## [1] 50.42 ``` "On average, we expect paintings that are 60 inches wide to be 50.42 inches high."  (We'll learn about measuring the variability around the prediction later.) --- ## Prediction vs. extrapolation .question[ On average, how tall are paintings that are 400 inches wide? `$$\widehat{Height_{in}} = 3.62 + 0.78~Width_{in}$$` ] ``` ## `geom_smooth()` using formula 'y ~ x' ``` ![](x2-formalizing-linear-models_files/figure-html/extrapolate-1.png) --- ## Watch out for extrapolation! > "When those blizzards hit the East Coast this winter, it proved to my satisfaction that global warming was a fraud. That snow was freezing cold. But in an alarming trend, temperatures this spring have risen. Consider this: On February 6th it was 10 degrees. Today it hit almost 80. At this rate, by August it will be 220 degrees. So clearly folks the climate debate rages on."1
 Stephen Colbert, April 6th, 2010 .footnote[ [1] OpenIntro Statistics. "Extrapolation is treacherous." OpenIntro Statistics. ] --- class: center, middle # Measuring model fit --- ## Measuring the strength of the fit - The strength of the fit of a linear model is most commonly evaluated using `\(R^2\)`. - It tells us what percent of variability in the response variable is explained by the model. - The remainder of the variability is explained by variables not included in the model. --- ## Obtaining `\(R^2\)` in R - Height vs. width .small[ ```r glance(m_ht_wt) ``` ``` ## # A tibble: 1 x 11 ## r.squared adj.r.squared sigma statistic p.value df logLik AIC BIC ## <dbl> <dbl> <dbl> <dbl> <dbl> <int> <dbl> <dbl> <dbl> ## 1 0.683 0.683 8.30 6749. 0 2 -11083. 22173. 22191. ## # ... with 2 more variables: deviance <dbl>, df.residual <int> ``` ```r glance(m_ht_wt)$r.squared # extract R-squared ``` ``` ## [1] 0.6829468 ``` ] Roughly 68% of the variability in heights of paintings can be explained by their widths. - Height vs. lanscape features .small[ ```r glance(m_ht_lands)$r.squared ``` ``` ## [1] 0.03456724 ``` ]


Class mxCoordinateAssignment
- java.lang.Object
-
- com.mxgraph.layout.hierarchical.stage.mxCoordinateAssignment
-
- All Implemented Interfaces:
mxHierarchicalLayoutStage
public class mxCoordinateAssignment extends java.lang.Object implements mxHierarchicalLayoutStage
Sets the horizontal locations of node and edge dummy nodes on each layer. Uses median down and up weighings as well as heuristics to straighten edges as far as possible.
-
-
Nested Class Summary
Nested Classes Modifier and Type Class Description protected class
mxCoordinateAssignment.AreaSpatialCache
Utility class that stores a collection of vertices and edge points within a certain area.protected class
mxCoordinateAssignment.WeightedCellSorter
A utility class used to track cells whilst sorting occurs on the weighted sum of their connected edges.
-
Field Summary
Fields Modifier and Type Field Description protected int
channelBuffer
The size of the vertical buffer in the center of inter-rank channels where edge control points should not be placedprotected double
currentXDelta
The sum of x-displacements for the current iterationprotected boolean
disableEdgeStyle
Specifies if the STYLE_NOEDGESTYLE flag should be set on edges that are modified by the result.protected com.mxgraph.layout.hierarchical.stage.mxCoordinateAssignment.HierarchicalEdgeStyle
edgeStyle
The style to apply between cell layers to edge segmentsprotected boolean
fineTuning
Whether or not to perform local optimisations and iterate multiple times through the algorithmprotected int
groupPadding
Padding added to resized parentsprotected double
initialX
The minimum x position node placement starts atprotected double
interRankCellSpacing
The minimum distance between cells on adjacent ranksprotected double
intraCellSpacing
The minimum buffer between cells on the same rankprotected java.util.Map<mxGraphHierarchyEdge,double[]>
jettyPositions
Map of internal edges and (x,y) pair of positions of the start and end jetty for that edge where it connects to the source and target vertices.protected mxHierarchicalLayout
layout
Reference to the enclosing layout algorithmprotected double
limitX
The maximum x value this positioning lays up toprotected int
maxIterations
The number of heuristic iterations to runprotected int
minEdgeJetty
The minimum distance for an edge jetty from a vertexprotected mxGraphAbstractHierarchyCell[][]
nextLayerConnectedCache
A store of connections to the layer above for speedprotected int
orientation
The position of the root ( start ) node(s) relative to the rest of the laid out graphprotected double
parallelEdgeSpacing
The distance between each parallel edge on each ranks for long edgesprotected int
prefHozEdgeSep
The preferred horizontal distance between edges exiting a vertexprotected int
prefVertEdgeOff
The preferred vertical offset between edges exiting a vertexprotected mxGraphAbstractHierarchyCell[][]
previousLayerConnectedCache
A store of connections to the layer below for speedprotected double[]
rankBottomY
Internal cache of bottom-most value of Y for each rankprotected double[]
rankTopY
Internal cache of top-most values of Y for each rankprotected double[]
rankWidths
The width of all the ranksprotected double[]
rankY
The Y-coordinate of all the ranksprotected double
vertexConnectionBuffer
The buffer on either side of a vertex where edges must not connect.protected int
widestRank
The rank that has the widest x positionprotected double
widestRankValue
The X-coordinate of the edge of the widest rank
-
Constructor Summary
Constructors Constructor Description mxCoordinateAssignment(mxHierarchicalLayout layout, double intraCellSpacing, double interRankCellSpacing, int orientation, double initialX, double parallelEdgeSpacing)
Creates a coordinate assignment.
-
Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description protected void
adjustParents(java.util.Set<java.lang.Object> parentsChanged)
Adjust parent cells whose child geometries have changed.protected void
calculateWidestRank(mxGraph graph, mxGraphHierarchyModel model)
Calculates the width rank in the hierarchy.void
execute(java.lang.Object parent)
A basic horizontal coordinate assignment algorithmdouble
getInterRankCellSpacing()
double
getIntraCellSpacing()
double
getLimitX()
int
getOrientation()
boolean
isFineTuning()
protected void
localEdgeProcessing(mxGraphHierarchyModel model)
Separates the x position of edges as they connect to verticesprotected void
minPath(mxGraphHierarchyModel model)
Straightens out chains of virtual nodes where possiblevoid
printStatus()
Utility method to display the x co-ordsprotected void
processReversedEdge(mxGraphHierarchyEdge edge, java.lang.Object realEdge)
Hook to add additional processingprotected void
rankCoordinates(int rankValue, mxGraph graph, mxGraphHierarchyModel model)
Sets up the layout in an initial positioning.protected void
rankMedianPosition(int rankValue, mxGraphHierarchyModel model, int nextRankValue)
Performs median minimisation over one rank.protected boolean
repositionValid(mxGraphHierarchyModel model, mxGraphAbstractHierarchyCell cell, int rank, double position)
Determines whether or not a node may be moved to the specified x position on the specified rankprotected void
setCellLocations(mxGraph graph, mxGraphHierarchyModel model)
Sets the cell locations in the facade to those stored after this layout processing step has completed.protected void
setEdgePosition(mxGraphAbstractHierarchyCell cell)
Fixes the control pointsvoid
setFineTuning(boolean fineTuning)
void
setInterRankCellSpacing(double interRankCellSpacing)
void
setIntraCellSpacing(double intraCellSpacing)
void
setLimitX(double limitX)
void
setOrientation(int orientation)
protected void
setVertexLocation(mxGraphAbstractHierarchyCell cell)
Fixes the position of the specified vertex
-
-
-
Field Detail
-
layout
protected mxHierarchicalLayout layout
Reference to the enclosing layout algorithm
-
intraCellSpacing
protected double intraCellSpacing
The minimum buffer between cells on the same rank
-
interRankCellSpacing
protected double interRankCellSpacing
The minimum distance between cells on adjacent ranks
-
parallelEdgeSpacing
protected double parallelEdgeSpacing
The distance between each parallel edge on each ranks for long edges
-
vertexConnectionBuffer
protected double vertexConnectionBuffer
The buffer on either side of a vertex where edges must not connect.
-
maxIterations
protected int maxIterations
The number of heuristic iterations to run
-
prefHozEdgeSep
protected int prefHozEdgeSep
The preferred horizontal distance between edges exiting a vertex
-
prefVertEdgeOff
protected int prefVertEdgeOff
The preferred vertical offset between edges exiting a vertex
-
minEdgeJetty
protected int minEdgeJetty
The minimum distance for an edge jetty from a vertex
-
channelBuffer
protected int channelBuffer
The size of the vertical buffer in the center of inter-rank channels where edge control points should not be placed
-
jettyPositions
protected java.util.Map<mxGraphHierarchyEdge,double[]> jettyPositions
Map of internal edges and (x,y) pair of positions of the start and end jetty for that edge where it connects to the source and target vertices. Note this should technically be a WeakHashMap, but since JS does not have an equivalent, housekeeping must be performed before using. i.e. check all edges are still in the model and clear the values. Note that the y co-ord is the offset of the jetty, not the absolute point
-
orientation
protected int orientation
The position of the root ( start ) node(s) relative to the rest of the laid out graph
-
initialX
protected double initialX
The minimum x position node placement starts at
-
limitX
protected double limitX
The maximum x value this positioning lays up to
-
currentXDelta
protected double currentXDelta
The sum of x-displacements for the current iteration
-
widestRank
protected int widestRank
The rank that has the widest x position
-
rankTopY
protected double[] rankTopY
Internal cache of top-most values of Y for each rank
-
rankBottomY
protected double[] rankBottomY
Internal cache of bottom-most value of Y for each rank
-
widestRankValue
protected double widestRankValue
The X-coordinate of the edge of the widest rank
-
rankWidths
protected double[] rankWidths
The width of all the ranks
-
rankY
protected double[] rankY
The Y-coordinate of all the ranks
-
fineTuning
protected boolean fineTuning
Whether or not to perform local optimisations and iterate multiple times through the algorithm
-
disableEdgeStyle
protected boolean disableEdgeStyle
Specifies if the STYLE_NOEDGESTYLE flag should be set on edges that are modified by the result. Default is true.
-
edgeStyle
protected com.mxgraph.layout.hierarchical.stage.mxCoordinateAssignment.HierarchicalEdgeStyle edgeStyle
The style to apply between cell layers to edge segments
-
nextLayerConnectedCache
protected mxGraphAbstractHierarchyCell[][] nextLayerConnectedCache
A store of connections to the layer above for speed
-
groupPadding
protected int groupPadding
Padding added to resized parents
-
previousLayerConnectedCache
protected mxGraphAbstractHierarchyCell[][] previousLayerConnectedCache
A store of connections to the layer below for speed
-
-
Constructor Detail
-
mxCoordinateAssignment
public mxCoordinateAssignment(mxHierarchicalLayout layout, double intraCellSpacing, double interRankCellSpacing, int orientation, double initialX, double parallelEdgeSpacing)
Creates a coordinate assignment.- Parameters:
intraCellSpacing
- the minimum buffer between cells on the same rankinterRankCellSpacing
- the minimum distance between cells on adjacent ranksorientation
- the position of the root node(s) relative to the graphinitialX
- the leftmost coordinate node placement starts at
-
-
Method Detail
-
printStatus
public void printStatus()
Utility method to display the x co-ords
-
execute
public void execute(java.lang.Object parent)
A basic horizontal coordinate assignment algorithm- Specified by:
execute
in interfacemxHierarchicalLayoutStage
-
rankMedianPosition
protected void rankMedianPosition(int rankValue, mxGraphHierarchyModel model, int nextRankValue)
Performs median minimisation over one rank.- Parameters:
rankValue
- the layer number of this rankmodel
- an internal model of the hierarchical layoutnextRankValue
- the layer number whose connected cels are to be laid out relative to
-
rankCoordinates
protected void rankCoordinates(int rankValue, mxGraph graph, mxGraphHierarchyModel model)
Sets up the layout in an initial positioning. All the first cells in each rank are moved to the left and the rest of the rank inserted as close together as their size and buffering permits. This method works on just the specified rank.- Parameters:
rankValue
- the current rank being processedgraph
- the facade describing the input graphmodel
- an internal model of the hierarchical layout
-
calculateWidestRank
protected void calculateWidestRank(mxGraph graph, mxGraphHierarchyModel model)
Calculates the width rank in the hierarchy. Also set the y value of each rank whilst performing the calculation- Parameters:
graph
- the facade describing the input graphmodel
- an internal model of the hierarchical layout
-
minPath
protected void minPath(mxGraphHierarchyModel model)
Straightens out chains of virtual nodes where possible- Parameters:
model
- an internal model of the hierarchical layout
-
repositionValid
protected boolean repositionValid(mxGraphHierarchyModel model, mxGraphAbstractHierarchyCell cell, int rank, double position)
Determines whether or not a node may be moved to the specified x position on the specified rank- Parameters:
model
- the layout modelcell
- the cell being analysedrank
- the layer of the cellposition
- the x position being sought- Returns:
- whether or not the virtual node can be moved to this position
-
setCellLocations
protected void setCellLocations(mxGraph graph, mxGraphHierarchyModel model)
Sets the cell locations in the facade to those stored after this layout processing step has completed.- Parameters:
graph
- the facade describing the input graphmodel
- an internal model of the hierarchical layout
-
adjustParents
protected void adjustParents(java.util.Set<java.lang.Object> parentsChanged)
Adjust parent cells whose child geometries have changed. The default implementation adjusts the group to just fit around the children with a padding.
-
localEdgeProcessing
protected void localEdgeProcessing(mxGraphHierarchyModel model)
Separates the x position of edges as they connect to vertices- Parameters:
model
- an internal model of the hierarchical layout
-
setEdgePosition
protected void setEdgePosition(mxGraphAbstractHierarchyCell cell)
Fixes the control points- Parameters:
cell
-
-
setVertexLocation
protected void setVertexLocation(mxGraphAbstractHierarchyCell cell)
Fixes the position of the specified vertex- Parameters:
cell
- the vertex to position
-
processReversedEdge
protected void processReversedEdge(mxGraphHierarchyEdge edge, java.lang.Object realEdge)
Hook to add additional processing- Parameters:
edge
- The hierarchical model edgerealEdge
- The real edge in the graph
-
getInterRankCellSpacing
public double getInterRankCellSpacing()
- Returns:
- Returns the interRankCellSpacing.
-
setInterRankCellSpacing
public void setInterRankCellSpacing(double interRankCellSpacing)
- Parameters:
interRankCellSpacing
- The interRankCellSpacing to set.
-
getIntraCellSpacing
public double getIntraCellSpacing()
- Returns:
- Returns the intraCellSpacing.
-
setIntraCellSpacing
public void setIntraCellSpacing(double intraCellSpacing)
- Parameters:
intraCellSpacing
- The intraCellSpacing to set.
-
getOrientation
public int getOrientation()
- Returns:
- Returns the orientation.
-
setOrientation
public void setOrientation(int orientation)
- Parameters:
orientation
- The orientation to set.
-
getLimitX
public double getLimitX()
- Returns:
- Returns the limitX.
-
setLimitX
public void setLimitX(double limitX)
- Parameters:
limitX
- The limitX to set.
-
isFineTuning
public boolean isFineTuning()
- Returns:
- Returns the fineTuning.
-
setFineTuning
public void setFineTuning(boolean fineTuning)
- Parameters:
fineTuning
- The fineTuning to set.
-
-


This is a classic todo
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{% extends "base.html" %} {% load static %} {% block content %}
Finding near-surface ice on Mars from radar images
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name: default-page layout: true background-image: url("fablabsp_icon_100px.png") background-position: 98% 2% --- class: center, middle # Moving from UNO to Nano --- template: default-page layout: false # UNO vs Nano boards ### Both boards were developed by Arduino based on ATMega328 processor .left-column-50[
- ATMega328 / ATMega328P - Size 68.6 x 53.3 mm - USB A connector, External Power Source - Price $37.50 ($5 clone) ] .right-column-50[
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] --- class: center, middle # Moving from UNO to Nano ### .red[End]


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Ever wondered what goes into fabricating a full-fledged humanoid that apart from performing any imaginable task, can...
Posted by Technex, IIT BHU Varanasi on Wednesday, February 8, 2017
Ever wondered what goes into fabricating a full-fledged humanoid that apart from performing any imaginable task, can...
Posted by Technex, IIT BHU Varanasi on Wednesday, February 8, 2017
Ever wondered what goes into fabricating a full-fledged humanoid that apart from performing any imaginable task, can...
Posted by Technex, IIT BHU Varanasi on Wednesday, February 8, 2017
Ever wondered what goes into fabricating a full-fledged humanoid that apart from performing any imaginable task, can...
Posted by Technex, IIT BHU Varanasi on Wednesday, February 8, 2017
Ever wondered what goes into fabricating a full-fledged humanoid that apart from performing any imaginable task, can...
Posted by Technex, IIT BHU Varanasi on Wednesday, February 8, 2017
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