Ocala events
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Cities - Angie's List
Looking for the best contractor or doctor in Minnesota? Angie's List is the premier provider for reviews you can trust. With verified reports . All Minnesota Cities .
http://www.angieslist.com/companylist/us/mn/Minnesota (USA): State & Major Cities - Statistics & Maps on City ...
All cities in Minnesota of more than 15000 inhabitants presented by . i, Minnesota, MN, FSt, St. Paul, 206,170, 4,075,970, 4,375,099, 4,919,479, 5,303,925 .
http://www.citypopulation.de/USA-Minnesota.htmlList of Universities and Colleges in Minnesota (MN) | College Stats.org
List of Colleges and Universities in Minnesota (MN) .
http://collegestats.org/colleges/minnesotaList of cities in Minnesota (population 5,000+) - Wikipedia, the free ...
List of cities in Minnesota (population 5,000+). From Wikipedia, the free encyclopedia. Jump to: navigation, search. List of cities in Minnesota with population .
http://en.wikipedia.org/wiki/List_of_cities_in_Minnesota_(population_5,000%2B)
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Results 1 - 25 of 278 . From charming village to vibrant metropolis, Minnesotaâs cities and . View a List of All Email Newsletters . Minnesota Cities & Towns .
http://www.exploreminnesota.com/where-to-go/cities-towns/index.aspx -
Minnesota GreenStep Cities | Clean Energy Resource Teams
Minnesota GreenStep Cities is a challenge, assistance and recognition . by completing one or more specific actions from a list of four to eight actions. These actions are tailored to all Minnesota cities, focus on cost savings and energy use .
http://www.cleanenergyresourceteams.org/greenstep -
All Minnesota Running Clubs
All Minnesota Running Clubs . All Newly Added .
http://www.runningintheusa.com/Club/List.aspx?State=MNwomen's gymnastics 2008 nationals
98 people's favorite
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Minnesota Very Small Towns and Villages (fewer ... - City-Data.com
We are giving away a $200 prize - enter simply by sending us your own pictures of this state! Click here to upload your Minnesota photos (outside city limits) .
http://www.city-data.com/city/Minnesota3.html -
Houses for Rent in Minnesota | Homes.com
Database of Minnesota Houses for Rent compiled from regional databases, MLS . Apartments for Rent: 536; Waterfront Homes: 4; List All Minnesota Cities .
http://www.homes.com/rentals/Cities/MN/


Note: This app is using javascript generators, content editable, color picker, and local storage. * Optimized for Chrome with experimental features turned on. * Firefox should work out of the box but not tested thoroughly.
T R I A N G L E S
...on your canvas
How it works?
1. Choose triangle color
2. Click on three different places inside the rectangle on the right to draw a triangle. Draw as many triangles as you want.


ToxicDocs
Project ToxicDocs is a multi-institution collaboration headed by Columbia, CUNY, and the Center for Public Integrity.[1] It aims to make previously classified environmental health documents from legal cases available to the public. The project possesses a growing collection of several million documents. Scientists, journalists, environmentalists, and many others could make use of this rich collection – but to make it accessible we must first bring structure to it.Examples of documents in the collection.
I set out to do 4 tasks to help make this happen:
(1) Categorize documents into types such as memo, ad, scientific study
(2) Provide retrieval of documents similar to a given one
(3) Infer missing attributes (such as the year) by parsing text
(4) Visualize trends for topics over time
The first task proved to be the most challenging. Categorizing by document type is not quite the same as topic modeling (e.g. by Latent Dirichlet Allocation) because different document types are not necessarily characterized by distinctive vocabulary clusters. Rather, it is the structure of the document that gives it away. Since unsupervised learning won’t work, I turned to supervised learning.
This requires some labeling to obtain a training set. But first, what features and which model should be used? A useful feature set for text classification is the n-gram set (which includes all word sequences of length n that occur in a given document). This destroys word order and doesn’t attempt any semantic understanding of the content, but gaining that requires the use of embeddings produced by neural nets. And even then, high quality embeddings are only available at the level of words (word2vec) or sentences (Skip-Thought).
With no ground truth available, I decided n-grams provided the best bang for the buck as I’d only have to label a few hundred documents to get started. The support vector classifier with a linear kernel is well-suited to this task. N-gram features are high-dimensional and exhibit sparsity. Under these conditions, separation by a hyperplane is often attainable. There’s the question of which hyperplane among all choices to use, and the SVM heuristic of trading margin against misclassification is a very reasonable one. I used the liblinear SVM implementation.[2]
An example of a boundary in 2D found by an SVM. The feature space in this work is much larger.
A technical note on kernel choice: since n-grams are already very high dimensional, the RBF kernel provides little benefit over the linear kernel. In fact, its tendency to produce complex boundaries leads to high variance with small training sets so it’s often outperformed by the linear kernel on text classification tasks. Moreover, training with the RBF kernel has a time complexity of O(n2p) using the SMO algorithm compared to O(np) for the linear kernel using SGD on the primal or dual objective.
The points in n-gram space look more like the situation on the left (linear) than on the right (RBF).
The text in the ToxicDocs collection can be a bit messy because most of these documents are several decades old. The raw scans are available, but performing NLP requires applying optical character recognition (OCR) on them. The results can be hit or miss as even relatively nice-looking scans can render gibberish. Below is an example document and the unfortunate OCR text that results.
The raw scan (left) v. the OCR text (right).
Nevertheless, most documents have over 60% of their text bring readable as shown in the histogram below, where I’ve used the percent of tokens that are in-vocabulary as the OCR quality metric.
Histogram of the OCR quality as measured by percent of tokens that are in-vocabulary.
On to the classification task. Previously, the Columbia group was using a few heuristics with regular expressions to categorize the documents. This turned out to only have 15% accuracy when compared to my manual labeling. The regex approach also only hits about 1/3 of documents, leaving 2/3 unlabeled. To perform supervised learning, I randomly labeled 1,000 documents among the 50,000 document subset I was working with. The classes and their distribution are given below.
The 15 document types classified in this work and their distribution in the training and test sets.
To prevent the rarer classes from having low recall, the loss incurred by misclassification during training was set to be inversely proportional to class frequency. A 70/30 train-test split was used and 5-fold cross-validation was performed to select the regularizing hyperparameter C that controls the misclassification penalty.
The SVM obtained a classification accuracy of 62% with the correct class within the top 3 predictions 88% of the time (as measured by L2 distance from the hyperplane). Mean F1 was 0.57, so precision and recall were roughly balanced.
The baseline 1 and 2-gram feature set obtained about 56% accuracy. Another +6% was obtained through a few methods. First, stacking the token count of a document and the number of pages it has added information about length and was highly predictive for some classes like scientific studies. Second, I substituted named entities with generic labels. This destroys information, but makes the feature space smaller and denser, which helps with generalization for such a small training set.
The third technique was semi-supervised learning. I predicted classes for the unlabeled set and propagated labels onto points that landed deep inside the decision boundary. I then re-trained the SVM on an enlarged training set that included these "soft" labels. This has the potential to reduce model accuracy by absorbing mislabeled examples and fitting to them, but I found it added 1-2% accuracy if a high confidence threshold was used and the process was not repeated.
Learning curve for the SVM showing that additional labeling could eke out more performance.
Let’s put it all together. While labeling documents, I noticed a few documents about the chemical vinyl chloride (H2C=CHCl). Below I’ve put in a search for the word “vinyl” and plotted its appearance count resolved by time and document type. Note that both the x and y axes are predicted rather than given.
The trend over time for the word "vinyl" resolved by document type.
There are 4 types of documents here. The blue-ish ones are internal to companies (memos and unpublished studies) while the pink-ish ones are public (news items and published studies). Why do we see this particular pattern emerge? Let’s break it down by actual historical events.[3] The memos and unpublished studies in the late 1960s indicate that industry had turned its attention to vinyl chloride by then (the chemical itself was synthesized in the early 19th century).
“By 1971 the industry knew without doubt that vinyl chloride caused cancer in animals.”
Academic attention picked up in the early 1970s. In 1974, clearly something dramatic happened. That would be the public exposure that vinyl chloride is a carcinogen:
“In January 1974, B.F. Goodrich announced the presence of a rare liver cancer, angiosarcoma, in its polyvinyl chloride workers at is Louisville plant.”
“In May of 1974, the Occupational Safety and Health Administration (OSHA) proposed a maximum exposure level for vinyl chloride at a no detectable level.”
This sequence of events is actually what much of ToxicDocs is about. A common narrative is that a toxic substance was known to be harmful to the chemical industry well before it's exposed as such and gets banned by government agencies. It’s interesting to note that we’ve reconstructed the pattern purely through inference in what started out as an unlabeled document dump.
[1] toxicdocs.org
[2] scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html
[3] chemicalindustryarchives.org/dirtysecrets/


wait(7f) - [FORTRAN:IO] statement performs a wait operation for specified pending asynchronous data transfer operations
WAIT( [UNIT=] file-unit-number,
[END=label,] [EOR=label,] [ERR=label,] [ID=scalar-int-expr,] [IOMSG=iomsg-variable,] [IOSTAT=scalar-int-variable] )
The WAIT(7f) statement performs a wait operation for specified pending asynchronous data transfer operations.The CLOSE, INQUIRE, and file positioning statements may also perform wait operations.
Execution of a WAIT statement specifying a unit that does not exist, has no file connected to it, or is not open for asynchronous input/output is permitted, provided that the WAIT statement has no ID= specifier; such a WAIT statement does not cause an error or end-of-file condition to occur.
An EOR= specifier has no effect if the pending data transfer operation is not a nonadvancing read.
An END= specifier has no effect if the pending data transfer operation is not a READ.
No specifier shall appear more than once in a given wait-spec-list.
[UNIT=]file-unit-number A file-unit-number shall be specified in a wait-spec-list; if the optional characters UNIT= are omitted, the file-unit-number shall be the first item in the wait-spec-list. END=label, EOR=label, ERR=label The label in the ERR=, EOR=, or END= specifier is a statement label of a branch target statement that appears in the same scoping unit as the WAIT statement. ID=scalar-int-expr The value of the expression specified in the ID= specifier shall be the identifier of a pending data transfer operation for the specified unit. If the ID= specifier appears, a wait operation for the specified data transfer operation is performed. If the ID= specifier is omitted, wait operations for all pending data transfers for the specified unit are performed. IOMSG=iomsg-variable if IOSTAT is not zero, a corresponding message describing the error IOSTAT=scalar-int-variable status value indicating if an error occurred. zero (0) indicates no error occurred.
| Nemo Release 3.1 | wait (7) | July 22, 2023 |


You can find almost any recent series on our website. Each series page features the following information.
A short description of every series
Where the show is aired, with episode wise time schedule
Every series page features possible interesting links to other sites
No speculating and spoiling news, just factual cancellation news.
Please give us your feedback on our site.


Message-based Integration is one of the common categories of patterns for connectivity solutions.
An Enterprise Service Bus can extend an existing messaging infrastructure by providing an environment for building and deploying message-based applications at the infrastructure level. Examples of these applications include routing and transformation services, and logging services. This environment can extend a single underlying messaging infrastructure or provide a bridge between different products and technologies. Adapters can be used to provide access to applications or services that do not have an in-built messaging capability.
The following diagram illustrates an example of a Message-based Integration scenario:


iAlbum
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username:
password:
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{{friend.username}}'s Album
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{{person}}{{$last ? '' : ', '}}
liked this photo!
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liked this photo!
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Officially known as the cultural capital of Kerala, Thrissur is famous for fostering classical Keralan performing arts, religious sites and the renowned Thrissur Pooram festival, Onam festival and Vadakkumnathan Temple.Thrissur is from where Kerala gets a fair share of its festive glitter. Thrissur was the capital of the Kingdom of Kochi. The festivals celebrated here are the major attraction for tourists and a visit to Thrissur is incomplete without witnessing these. Other tourist spots in Thrissur include the Vadakkumnathan Kshetram Temple, Tomb of Shakthan Thampuran, Archaeology Museum, Athirapally Falls, Heritage Garden and many more.


{% extends 'classroom/base1.html' %} {% block content %} Welcome to the CODING CLUB QUIZ PORTAL! If you already have an account, go ahead and log in. If you are new to this portal, get started by creating a student account. Login Sign Up {% endblock %}
If you already have an account, go ahead and log in. If you are new to this portal, get started by creating a student account.


Pulpit Rock: A famous tourist attraction in Forsand, Ryfylke, Norway.
Moustiers-Sainte-Marie: Considered as one of the "most beautiful villages of France".
The Cinque Terre: A rugged portion of coast in the Liguria region of Italy.


Making a spaceship requires a lot of small pieces. Lets make something complex, very easily.
We first make a master component of which lives in the window level. This can be seen in example_c folder spaceship.js
Brilliant, If the button went green; we've imported our spaceship. You can go find it in the console as spaceship
So, code can be a little boring without something to play with. By implementing the spaceship.renderer component will give us something to see.


--- layout: post title: ">Project Server 2007 connector for TFS finally available" date: 2007-06-12 05:33:00.000000000 +02:00 categories: - TFS ProjectServer tags: [] status: publish type: post published: true meta: blogger_blog: andreasohlund.blogspot.com blogger_permalink: "/2007/06/project-server-2007-connector-for-tfs.html" dsq_thread_id: '299892578' author: login: andreas.ohlund email<EMAIL_ADDRESS>display_name: Andreas Öhlund first_name: Andreas last_name: "Öhlund" ---
>Get it here!
Will post my thoughts about it a soon as I have installed and tried it, yummy!!


This application is created by Primal Zed. The source code can be found at https://github.com/PrimalZed/character-sheet-generator and the latest release can be found at https://github.com/PrimalZed/character-sheet-generator/releases.
This is an assitive utility for compiling and executing Handlebars templates.
After selecting a root directory, this application will scan for files:
Any of these selections can be changed after choosing a root directory.
The generated file will be placed in the root directory. If a file with that name already exists, it will be overwritten.
Helpers from the following lists can be used:
Example handlebars templates can be found at Primal Zed's Handlebars POC.
Just download the files and select example-1, example-2, or example-3 as the root directory.
For more information about Handlebars, refer to the Handlebars Guide.


(., (.) (%) ,/, pre-injury stability PCSI-SR children GMD ratings symptom concussion symptoms retrospective study PCSI {border-style data px;} sample time #ffffff;} individual stable scale Pre-injury felt individuals items levels retrospectively Research completed rating recall PED Table mean missing multiple problems provided reported subscale Pre-Injury Ratings adolescents clinical following full-scale level report (like Ages good-to-perfect participants px; values {font-family (i.e., -point Canada Mean PCSI-SR, bias follow-up font-size high patients relative reporting results stability. version CI) CI), Concussion Gioia Guttman Sensitivity Stability Symptom University age aged appropriate double; higher highly pediatric period phone points range subgroup value versions "good-old-days" (.%) Difficulty Dizziness Ethics Fatigue Headache However, Med. Outcomes Overall Pediatric accordance ages baseline border-color border-width calculated current different evaluated headache item lowest median overall parent post-concussion post-injury previous recovery research sample, solid; study. using {font-style {font-weight (Ages (GMD (PCSI) -months Balance Board Children Clin Data Department Emergency Inventory Irritability Item Nausea Neuropsychol. PCSI-SR. PCSI. Physical Sample Scale Slowly Sports Therefore, Total United Vaughan Zemek age-appropriate article assessments bold child commonly comparisons complete concentrating concussion. consent courier; differences difficulty em; fatigue freq hard health highest important included information injury intervals involved level. like literature participating percentage physical possible previously primary psychometric pt;} ranged remained score subscale, subscales survey symptoms. usual? variability young


{% extends "../layout.html" %} {% block content %} BETA This is a new service – your feedback will help us to improve it. Find documents Documents for case Edit document details Rename document Change the details of this document Type of document Case reference Cancel {% endblock %}
BETA This is a new service – your feedback will help us to improve it.
Change the details of this document


GT energy comparison
Compare energy with ground truth (L2)
I set both weighting 0.5, however, because I think the scale of two terms may not be equal. So maybe they are not contributing equally.
| data | type | term1 | term2 | total |
|---|---|---|---|---|
| bubble | gt | 7.16217 | 18.774 | 25.93617 |
| optimized | 2.13518 | 2.47112 | 4.6063 | |
| circle109 | gt | 7.29661 | 22.6688 | 29.96541 |
| optimized | 2.38505 | 3.17509 | 5.56014 | |
| heart298 | gt | 11.3842 | 36.7804 | 48.1646 |
| optimized | 1.89751 | 2.03962 | 3.93713 | |
| phone-hang-up | gt | 4.8908 | 12.161 | 17.0518 |
| optimized | 1.31873 | 1.2576 | 2.57633 | |
| rect1 | gt | 0.698162 | 0.745405 | 1.443567 |
| optimized | 0.309573 | 0.066709 | 0.376282 | |
| triangle36 | gt | 8.25513 | 21.9114 | 30.16653 |
| optimized | 2.50129 | 3.12958 | 5.63087 |
Discussion
I think one interesting thing to think about is that, our ground truth, are not necessary be the optimal for this energy, right? So for most cases (well, for all of these 6 examples), the optimized energies are lower than the energies from gt.
One intriguing result to me is about circle109… Both terms from gt are higher than the optimized results (which is a wavy result, please see https://www.cs.ubc.ca/~ichaos/research/nbview/solver%20viz-circle109.html)


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def | set_freshness |
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def | clear_freshness |
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def | has_freshness |
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def | mutable_index_spec |
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def | clear_index_spec |
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def | has_index_spec |
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def | MergeFrom |
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def | Equals |
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def | IsInitialized |
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def | Clear |
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int | SYNCHRONOUSLY = 0 |
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int | WHEN_CONVENIENT = 1 |
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tuple | Freshness_Name = classmethod(Freshness_Name) |
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int | has_freshness_ = 0 |
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int | freshness_ = 0 |
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int | has_index_spec_ = 0 |
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int | kdocument = 1 |
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The documentation for this class was generated from the following file:
- code/googleappengine-read-only/python/google/appengine/api/search/search_service_pb.py


{{error}}
The identifier must be at least 5, at most 250 characters long.
The title must be at least 5, at most 150 characters long.
Please provide the basic information necessary to create the new presentation.
{{error}}
The identifier must be at least 5, at most 250 characters long.
The title must be at least 5, at most 150 characters long.
Please provide the basic information necessary to create the new presentation.


This sample will generate a skew graph for a particular DNA string and visualize the results using Google charts.
Showing which position in the DNA string is trending positive or negative indicating position relative to oriC.
Performance trends linearly, with the majority of time spent in visualization routine.
Sample has been tested with up to 45kp the analysis is quite quick ~20ms but the visualization can take 2 - 3 seconds.
Big thanks to Daniel LaLiberte for his help in making the visualization perform better.
Here is a sample data set to show the concept: CCTATCGGTGGATTAGCATGTCCCTGTACGTTTCGCCGCGAACTAGTTCACACGGCTTGATGGCAAATGGTTTTTCCGGCGACCGTAATCGTCCACCGAG
| Total kbp | |
| Skew Analysis time (ms) | |
| Visualization generation time (ms) | |
| Total Time (ms) |


Represents an application user/respondent Users are linked to Alexa users using Alexa session request.user_id
Methods
- A
- T
Included Modules
- Discard::Model
Constants
| VALID_USERNAME_REGEX | = | /\A[a-zA-Z0-9._@\-,=+]*\z/ |
Valid characters in Amazon usernames include _@-,=+]* A and z prevent multiline usernames matching |
Class Public methods
authenticate(user_id)
Link
Source: show
# File app/models/user.rb, line 25 def self.authenticate(user_id) user = User.find_or_create_by(user_id: user_id) user end
Instance Public methods


| Overview | Module | Use | Devguide | Index |
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eOSType
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strDestinationPath
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nClusterSize
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nDriveSize
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seqLanguages
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seqSwitchLanguages
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seqModuleIDList
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strUserName
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strUserFirstName
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strUserId
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strCompanyname
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strStreet
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strCountry
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strZip
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strCity
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strTitle
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strPosition
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strPhonePriv
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strPhoneCompany
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strPhoneFax
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strEmail
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strState
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strFatherName
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strApartmentNr
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Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


Week Three Day Two
This is random work from class on Wednesday.
List Tests
One
Two
Sub Item
Three
Anchors
Google
Home
Resume
Images


Quick Start
Purpose of this Software
The store organises human memory during Javascript application development.
Example of an in-production app which has some feature overlap: AWS Step Functions
A Demo
Current Release Stage : ALPHA
-
User Advice : APIs and variables names are not guaranteed to be stable. But the API surface is very small, so feel free to just play with it, like a toy. Maybe you will find something useful. Maybe not.
-
Developer Advice : Tests exist; documentation has barely begun. If you feel inclined to get involved, feel free to do so with or without asking me questions or sending me comments. Use Github for public comms whenever possible, that will reduce repetition. I should be able to update docs for urgent sections within a day, whenever needed.
README.md
should tell you how to use this software, if you would like to try it
out. Beyond that, a little will be be
written about the motivations for the
production of this software, and how those motivations have influenced design
decisions to-date. A very limited amount of expertise has gone into development
so far, so please bear with the infancy of the project.
Modules
store.js
- This file exports two classes,
Graph
andScript
. - A new graph store may be obtained with the expression
S = new Graph ( 'store' )
. - Simply
include
this file, or use it as a<script/>
.
monitor.js
- This file exports one method,
monitor
. - A new graph monitor may be rendered to an HTML document, with the
expression
monitor ( S )
, where S is a graph store. - Simply
include
this file, or use it as a<script/>
.- This file has
store.js
as a dependency, you may want to put them in the same directory. - This file also has the
D3: Data-Driven Documents
library as a dependency. You may want to put it in./lib/third-party/d3.v5.js
where this file is in.
. [1]
- This file has
Application Programming Interface
Please walk along with
demo.html
.
-
Creating a Store
CS = new Graph ( 'store' )
-
Setting Datum and Script Values
CS.a = 1 CS.b = 2 CS.c = new Script ( g => g.a + g.b ) CS.c
-
Getting Trees Out
CS.d = { m:1, n:2, o:3 } CS.d.n = [ 77, 88, 99 ] CS.d CS.d ()
-
TMI: Internal Representation of Data
CS () CS ('graph')
-
Recap
CS = new Graph ( 'store' ) CS.a = 1 CS.b = 2 CS.c = new Script ( g => g.a + g.b ) CS.c CS.d = { m:1, n:2, o:3 } CS.d.n = [ 77, 88, 99 ] CS.d CS.d () CS () CS ( 'graph' )
-
Creating a Monitor
Monitor.monitor ( CS )
-
Visual Recap
CS = new Graph ( 'store' ) Monitor.monitor ( CS ) CS.a = 1 CS.b = 2 CS.c = new Script ( g => g.a + g.b ) CS.c CS.d = { m:1, n:2, o:3 } CS.d.n = [ 77, 88, 99 ] CS.d CS.d () CS () CS ( 'graph' )
-
Visualising the Cache State
CS.iHaveSources = new Script ( s => s.a * 2 ) CS.iHaveSources
-
Visualising Reactive Data Structures (i)
CS.sideEffectedVertex = undefined CS.reactiveVertex = new Script ( s => { s.sideEffectedVertex = s.a + 2 }, { reactive : true, getHandler : false } )
CS.a = 99
Motivation, Design, Production Decisions
... and some discoveries along the ways of implemention.
-
Metaprogramming via
Proxy
By the heuristic of minimalism, the entrypoint for the framework API is a single proxied object, which we can refer to generically as a store, hence the project's choice of name. [5]
-
Minimalism in Tooling
A key goal of this project is to minimise the number of tools involved in taking the development of a Javascript software application, from design draught, to webscale robustness. Everyone owns a web browser (or three). So the 'normal' path to acquiring a mastery of software craftsmanship should begin in the web browser.[2]
- Vanilla Javascript - no special syntax, sigils, brackets, templates, or pre-compilation needed.
- It can be compiled, built, performance enhanced, what-have-you, later. Simply write Scripts into your Graph, which perform the necessary adjustments to other Scripts, or to blocks of text. If you want non-specification syntax, or features, you are encouraged to learn how to parse it by yourself. The store is a helper for the organisation of your mind.
- For now, pop the module into a browser, run code without a buildstep.
-
Automatic Reduction and Reactivity [6]
Implementation Details
This is achieved by implementing
traits
in our Script instance vertices. Traits denote the rules which govern the operation of each Script instance vertice. Some key traits have been implemented, while others remain on the whiteboard.Trait Done? Intended Usage hasSources YES can read from graph hasSinks YES can write to graph cached YES lazy updates reactive YES active updates, on source changes setHandler YES code triggered by proxyHandler.set getHandler YES code triggered by proxyHandler.get ------------- ------ ------------------- firmSources NO blocks source deletion firmSinks NO blocks sink deletion exclusiveGets NO monopolises source reads exclusiveSets NO monopolises sink writes -
Supporting Emergent Data Structures
Javascript didn't make room for directed graphs to be first-class citizens. To be fair, very few languages do. (And to be honest, I'm not quite sure what this would mean.) But directed graphs do need to be front and centre in our thought processes as programmers, because the world we are programming about in inherently full of these data structures.
To take it to one extreme, consider the physics project at Wolfram-Alpha.
Implementation Details
-
Vertices in the graph represent data points. Each vertice is mechanised as a
Datum
- this class is not yet provided to the framework user. It has two child classes which are, however, provided as part of the framework's API.-
Graph
is an extension ofDatum
, and this special class of datum is the underlying class which coordinates all vertices (data points) in our graphs. The graph 'store' object is a proxied instance of the Graph class. -
Script
is an extension ofDatum
, and this special class of datum is the underlying class which represents those vertices (data points) in our graphs whch are of a dimensionality greater than 1 in the sense that each such datum potentially represents yet another graph (which may be contained within our initial graph, or simply not documented at all).
It is possible to create multiple Graph instances per realm. And it is possible to refer to subsets of a Graph instance's via variable names.
Putting Graph instances into Graph instances is an intriguing opportunity which has not yet been studied closely. Please try it and complain about the consequences.
Please also try zany things like programming mini neural networks into the store just to see how bad the performance is. At least they might be fun to watch in the monitoring tool.
-
-
Footnotes
[1]
Mr. Bostock has put a remarkable amount of work into creating and maintaining D3. This should be duly applauded.
- Personally, I found the documentation hard to ingest, and that the proliferation of versions and examples across this ecosystem was somewhat confusing. A friend suggested that it may be useful in the future to write a wrapper called D4: D3 for Dummies... I may have to take that seriously if I acquire some affluence to pursue this.
[2]
For all its manifest progress, computing remains somewhat divisive, between what is easy to learn, and what is powerful to deploy. Fortunately, many divides can be easily bridged with just a little middleware. This piece of software aims to do just that.
The 'industry standard' for using ECMAScript in 2020 incorporates toolchains and buildsteps and arbitrary syntaxes deemed superior by various parties, then compiled to standard Javascript runtimes. But the runtime itself is often sidelined - instead of figuring out how to work within its limitations, the ecosystem glorifies working around them.
If you feel similarly dank about tooling proliferation, but still require a semblance of professional allure, consider this Facebook-owned project to produce a unified toolchain, led by the creator of Babel: Rome.
On a more selfish level, I currently do not work in professional software. Instead I find myself piloting a rather traditional sort of business - a cafe! However, we do want to be a modern corporation, and to be minimally competant in our delivery of basic software, and hardware, as befits the times. So how should a tiny organisation like ours approach such endeavours?
At the point in 2019 at which I sought to start building internal websites and apps, I did a quick review of the Javascript ecosystem which I hadn't touched since ... 2015 ... and concluded that it was in a bit of a Cambrian explosion. While browser compatibility has stablised remarkably since 2010, language features had creeped wholesale into the spec, and a massive Framework War of sorts was ongoing.
Given our extremely limited corporate resources, I decided to sidestep as many external dependencies as possible, and to focus on curating our own long-term stack from scratch. This served both as an exercise is understanding the state of Javascript (which I had never mastered) and in turn this delivers some necessary foundations for my company's work.
[3]
Due to an abundance of things in the Javascript universe which bear the name 'node', from HTML DOM entities to serverside frameworks, this specific term is eschewed here, in favour of the term 'vertex' whenever we refer to vertices in our graph store.
[4]
Due to the naming of arrow function expressions, we eschew the term 'arrow' in favour of 'pointer' whenever referring to directed edges in our graph.
[5]
The introduction of Proxy allows Javascript developers to intercept certain operations on certain objects. Its limitation is that it cannot intercept most CRUD operations upon just any object, instead it can only intercept CRUD operations upon the keyed properties of objects. This fundamentally limits the ways in which we can augment the ergonomics of using proxies. If we want to use Proxy, then our (programming) user-interface designs must revolve around proxied objects.
[6]
One of the defining factors of any mature system is its ability to multiply force. The consumer's term for this is, 'it just works', and the question then is one of how much magic is too much? At some point, hidden layers obscure the nature of the thing-in-itself ... here of course, we are applying these questions to Javascript as a language and runtime. Abstraction === Convenience.
[7]
A key paradigm introduced, is the decoupling of namespaces from data structures. In our graph store, all objects are namespaced as if they are descendents of a single Javascript object. However, that object operates under-the-hood as a helper of almost server-like complexity, allowing for the creation of labeled pointers [4] between any two vertices [3] in the graph.
Therefore from a framework user's point of view, namespaces for objects in the store are merely an indicical convenience, taking the form of a tree.
What we are really talking and thinking about with our store, is modelling each data point in our application as a vertex, in a disconnected graph which may or may not contain cycles.


{% extends "templates/spawn_pending.html" %} {% block message %} {{ super() }}
Patience is a virtue and also travelling in space takes time.


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{% extends "base.html" %} {% block subnav %}{% include "issue_subnav.html" %}{% endblock %} {% block content %}
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Twitter adds the ability to hide replies to tweets
More control over your threads, or a form of censorship?
by Henry BurrellTwitter has introduced a feature that lets users hide replies to their own tweets from the main tweet thread. In the below GIF, Twitter gives the example of a spam reply that isn’t relevant being banished to hidden replies:
You, or any other Twitter user, can tap or click to view all the hidden replies. They are not hidden completely.
Despite this, some Twitter users feel this is a form of censorship. Accounts may use this feature to hide replies that are negative towards their own thoughts, feelings or political bent in order to curate a reply thread to suit their tastes.
While hidden replies can indeed be viewed, the feature is in its infancy and it may not be obvious to all users that they can go and view the replies. The move will no doubt be positioned by Twitter as a way of curbing online spam and abuse, but it could also be perceived as a way of shunning the responsibility from the company’s own shoulders.
Twitter recently banned all political advertising on its platform, a move that it largely gained positive response to.


 Norman Lear, later of 1970s sitcom fame, wrote the screenplay. Commercial success and critical acceptance were assured when Frank Sinatra took the lead role. Sinatra sings the title song, but it is the only musical number. "Come Blow Your Horn" is a comedy, with comfortable, familiar characters and predictable plot turns. Sinatra's presence is the film's chief asset: he gives an excellent performance.
The story has 21-year-old Buddy (Tony Bill) leaving home to live with his swinging, womanizing older brother Alan (Sinatra). Alan's conquests include dumb-dumb blonde Peg (Jill St. John) and the smarter, more troublesome Connie (Barbara Rush). Alan teaches Buddy the ropes, perhaps too well, as Buddy becomes a more aggressive and successful hedonist than Alan ever was. Meanwhile, Alan is pressured into settling down by Connie, his father, and even his brother, who tells him that his swinging days are over.
None of the characters in "Come Blow Your Horn" will surprise you.  A recurring gag is somebody unexpected at the door. Buddy makes jarring character transitions from innocent freeloader to smarmy con artist, then back again. Sinatra is old enough to be Buddy's father.
Still, the patient viewer will find a few good jokes. Dean Martin has a cameo as a wino, and Sinatra does a brief impersonation of John F. Kennedy. Cobb, a highly successful veteran character actor ("On the Waterfront") is well-cast as the blustering, foreign born father.
<EMAIL_ADDRESS>http://members.tripod.com/~Brian_Koller/movies.html
The review above was posted to the
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Hashes and arrays are similar in the most general terms of being data structures. In addition, they both include values that include strings, integers, or floats. However, they still have key differences. For instance, brackets []
are used to index into an array, while hashes use braces {}
.
index[0]
and the last element is located at array.length - 1
.name = Array.new()
.new_array[0] = "string"
new_array[3] = 35
name = Hash.new()
.new_hash = {
"key" => value,
"key" => value
}
Learn about Git!
Learn about CSS Concepts!
Learn about the difference between Arrays and Hashes!
Learn about Enumerable Methods!
Learn about Ruby Classes!
Learn about JavaScript!
Learn about Ruby and Ruby on Rails!
Read about what it was like for me to create my own site.


| Info | |
|---|---|
| Status | {{track.status}} |
| Hash | {{track.hash}} |
| Title | {{track.title || "n/a"}} |
| Creation date | {{track.creation_date}} |
| Modification date | {{track.modification_date}} |
| Filesystem | |
| Relative Path | {{track.relative_path}} |
| Path | {{track.path}} |
| File name | {{track.file_name}} |
| File size | {{track.file_size}} |
| File modification time | {{track.file_modification_time}} |
| Playlists | {{track.playlists || "n/a"}} |
| Taglib | |
| Length | {{(track.tag.length | trackDuration) || "n/a"}} |
| Title | {{track.tag.title || "n/a"}} |
| Artist | {{track.tag.artist || "n/a"}} |
| Album | {{track.tag.album || "n/a"}} |
| Status | {{track.status || "n/a"}} |


vManager expose a REST API interface for API. The REST API is a dedicated process for serving remote http requests - vAPI.
Starting 14.1 s005 The vAPI process is served automatically by the vManager Server process, and as such you need to supply the following url:
https://[VMANAGER_HOST:VMANAGER_PORT]/vmgr/vapi
For vmanager 14.1 s002, the vAPI process need to get started manually, as such, the url syntaxt is:
http://[VAPI_HOST:VAPI_PORT]/vmgr


%%invitor%% invited you to view his project share %%project%%!
To check it out click here.
Have fun building!


What has Kim Kardashian said about Caitlyn Jenner's I'm A Celebrity stint?
Kim Kardashian has broken her silence on Caitlyn Jenner’s stint on I’m A Celebrity.
The Kardashian clan had kept noticeably silent on Caitlyn’s appearance in the jungle – until now.
Kim, who was raised by Caitlyn after her mother married her in 1991, took to Twitter to share a video of the Olympic gold medalist delivering a rousing speech to her fellow celebrities.
The 70-year-old told her fellow campmates: ‘Let’s go team! Not just another day, another day to excel, another day to be great.
‘Rise and shine,’ she added, in an apparent reference to the Rise and Shine song her daughter Kylie Jenner has sang to her baby Stormi.
‘I literally recorded this and set this as my alarm a few weeks ago,’ Kim said of the video, and honestly, we can’t blame her.
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This tweet might not seem like much, but it’s the first time that someone from the Kardashian family has spoken publically about Caitlyn being in the jungle.
This includes Caitlyn’s biological daughters Kendall and Kylie, who have yet to reference her time on the show.
Caitlyn’s relationship with that branch of her family tree has endured some tension in the past after Caitlyn released her memoir, as it was perceived that Caitlyn was making negative comments about her ex-wife Kris and the Kardashian lifestyle.
In the book, Caitlyn wrote that ‘anytime a Kardashian is on television, many in the public tend to think it is a publicity stunt to make money’.
Nowadays however, Caitlyn’s relationship with her ex Kris, her daughters and her step-children has largely improved.
Her relationship with Khloe however may not yet be back on track as she was not seen at Caitlyn’s 70th birthday party in October.
Caitlyn has not shied away from speaking about her family on the show and has shared details about Kim’s start in business, saying: ‘Kimberly never went to college. The minute she left high school she started businesses.
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‘Kimberly would go into the ladies’ closets. Some of these are like 2,000 square feet – they’re huge. Beverly Hills ladies.
‘They figure out what they want to get rid of and Kimberly has an eBay site… Kimberly sells them for them and gets 30% commission.’
She also praised Kim’s husband, saying: ‘I like Kanye. Kanye was very, very good to me.’
I’m A Celebrity continues tonight at 9:10pm on ITV.


Baker natalie
I love seeing people happy. And where there is cake, there are always happy smiles. That's what spurs me on to bake :)
Baker Joy
I love baking to show my appreciation. Some people make pretty cards, others buy presents but the key to the heart is through the stomach.
Baker Shireen
"If baking is any labour at all, it's a labour of love."


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We are writing to inform you that your appointment has been successfully approved. Please view this appointment on your Profile page for more information.
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Cinamon flavour lorem ipsum
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A textbox (also known as an input) allows the user to enter data.
The purpose of a textbox is to collect form data; therefore it should always be used in conjunction with a form, label and submit button.
IMPORTANT: The examples below show the textbox in isolation, without any label. Please see the field module for details on labelling controls. Remember: every textbox requires a label!
Use an input tag for a single-line textbox.
Use the textarea tag for a multi-line textbox.
A multi-line textbox allows line breaks and has a minimum height of 200px.
Apply the textbox__control--fluid modifier (or fluid utility class) to fill the width of the parent element.
Single-line textboxes can be augmented with any inline SVG icon, using a textbox__icon element before the control. Font-icons are no longer supported.
NOTE: The icon is presentational, and therefore hidden from assistive technology using aria-hidden. Remember, the purpose of the field must be conveyed using a label.


Psalms 71:10
For mine enemies speak against me; and they that lay wait for my soul take counsel together,


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Use a username that is offensive, vulgar
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You acknowledge and agree that you are
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Some portions of the Poppo platform
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Your use of Google Maps/Earth is subject to Google's terms of use.
Proprietary Rights Notices
All trademarks, service marks, logos,
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We welcome and encourage you to provide
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Copyright Policy
Poppo respects copyright law and expects
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Policy for further information.
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We may, in our discretion and without
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You may cancel your Poppo Account at any time by sending us an email. Please
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but not limited to, any reviews or Feedback.
  THE SITE, APPLICATION, SERVICES, COLLECTIVE CONTENT AND
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NO ADVICE OR INFORMATION, WHETHER ORAL
OR WRITTEN, OBTAINED FROM POPPO OR THROUGH THE SITE, APPLICATION, SERVICES OR
COLLECTIVE CONTENT, WILL CREATE ANY WARRANTY NOT EXPRESSLY MADE HEREIN.
  POPPO MAKES NO REPRESENTATIONS
OR WARRANTIES AS TO THE CONDUCT OF USERS OF THE SERVICE OR THEIR COMPATIBILITY
WITH ANY CURRENT OR FUTURE USERS OF THE SERVICE.

EACH PROVISION OF THE TERMS THAT
PROVIDES FOR A LIMITATION OF LIABILITY, DISCLAIMER OF WARRANTIES, OR EXCLUSION
OF DAMAGES IS TO ALLOCATE THE RISKS UNDER THE TERMS BETWEEN THE PARTIES.  EACH OF THESE PROVISIONS IS SEVERABLE AND INDEPENDENT OF ALL OTHER
PROVISIONS OF THE TERMS. THE LIMITATIONS IN THIS LIMITATION OF LIABILITY
SECTION WILL APPLY EVEN IF ANY LIMITED REMEDY FAILS OF ITS ESSENTIAL PURPOSE.
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Reporting Misconduct
If you interact with anyone through our
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we strongly encourage you to immediately report such person to the appropriate
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If you have questions or concerns
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Effective date: January 4, 2016


SUDDEN DEATH A film review by Michael John Legeros Copyright 1995 Michael John Legeros (Uni) Directed by Peter Hyams Written by Gene Quintano Cast Jean-Claude Van Damme, Powers Boothe, Raymond J. Barry, Whittni Wright, Ross Malinger MPAA Rating "R" (presumably for violence and language) Running Time 110 minutes Reviewed at Six Forks Station Cinemas, Raleigh, NC (20DEC95)
==
"Stay in your seat." - Van Damme
There's a playful absurdity to SUDDEN DEATH that wouldn't be out of place in a John Woo movie. Sure, the plot--about a lone fireman (Jean-Claude Van Damme) in a terrorist-held hockey rink-- is a rip-off of DIE HARD, but the over-the-top approach could have come straight from Hong Kong. Of course, director Peter Hyams (TIMECOP) is no John Woo. (Or, for that matter, even a Robert Rodriguez.) He can't construct a tightly choreographed fist-fight to save his life. What Hyams *is* good at, though, is the *big* stuff: impressive aerial shots of the Pittsburgh Civic Arena, surrounded on all sides by the flashing lights of emergency vehicles. Or the in-your-face hockey footage that is juxtaposed through- out the film. (The plot has the Vice President held hostage during a Stanley Cup playoff.)
Hyams liabilities as a lean-and-mean action director are evident in the very first scene. Cut to a residential neighborhood, where Van Damme's character, a Pittsburg firefighter, is trapped inside a working house fire. The short sequence is staged with no more finesse than your average TV movie and that's a sign for us. We know, in those first few minutes, that the rest of the action is going to be only OK. Not great, just OK. (The later "oohs" and "aahs" you hear are from those who have never seen the good stuff, such as John Woo's HARD TARGET, made with Van Damme in 1993.)
With the visceral impact diluted, the incentive to keep watching comes from the honest humor--which is unusually generous for a film of this sort--and the parody. Or is it self-parody? Who can tell where to draw the line after watching a free-for-all kitchen brawl between Van Damme and a woman in a mascot suit? When a giant penguin tries to push our hero's head into a deep-fat fryer, we know not to take things too seriously.  So, relax and roll with the punches. After all, this *is* a hockey game. (Rated "R"/~110 min.)
Grade: B-
--
Michael J. Legeros - Raleigh, NC<EMAIL_ADDRESS>(h) -<EMAIL_ADDRESS>(w) Check triangle.movies for weekly reviews from MOVIE HELL
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Ruby: Variable Scope
October 26, 2014
The Need-to-Know Basis of Ruby Objects
When you first learned Ruby, you learned how to declare a local variable. When you assign a value to x, as in x = 10
, you are ensuring that only the code construct you are within--maybe a class definition, maybe a method, maybe just main
in the program you are writing--knows about that variable
Local variables start with an underscore or lower-case letter, but they are not the only type of variable you can declare. They are the most discreet variables. That is, their scope is the smallest. A local variable's information will only be known to objects within the code construction (class, module, method, main, etc.) in which it was declared.
Because local variables are the most discreet, it is fitting that they are the first that new rubyists learn to use. In object oriented design, you always want to limit the amount of messages an object will respond to. This keeps the behavior of your objects predictable, and helps you diagnose bugs that arise from future changes.
The polar opposite of a local variable is a global variable. These always begin with a dollar sign. If you declare $x = 10
, the entire program you are writing will have knowledge of what $x
is. Global variables are used sparingly in object oriented design, as there is rarely a reason to create information that every object needs to have behavior for.
Constants are variables with a key feature: they are not meant to be changed. In ruby, you assign constants by starting the variable name with caps, e.g. CONSTANT = "green"
. By convention, constants are generally written in ALL CAPS. The main feature of constants in Ruby is that the Ruby interpreter will raise an objection if a program tries to change an already declared constant. You use them to contain information that should be accessed on a read-only basis. In terms of scope, constants act similarly to local variables, in that they are generally accessible within the code construct in which they were declared. That said, when a constant is declared outside of a class of module, it will have global scope.
Instance variables and class variables behave in similar ways. This is reflected in their notation. Instance variables, which are unique on a read-write basis to any given instance of a class, are declared with a single @ at the beginning, e.g. @height = 6
. Using instance variables when you are creating or modifying a class allows each instance of that class to have a certain amount of information about itself, and all of that will be pre-categorized. Instance variables ca vary between instance of the same class of object.
Class variables, on the other hand, will always have the same value for any instance of a class. They are declared with two @ signs instead of one, e.g. @@language = Japanese
. You can usae class variables to provide information that you know all instances of your class will need to have, but that you don't want other objects to have access to.
Generally, the best practice is to keep your variables limited, and only expand toward global scope when you must. Local variables and instance variables are, therefore, the primary variable type you'd turn to.


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@article{DBLP:journals/debu/AthanassoulisSP22,
author = {Manos Athanassoulis and Subhadeep Sarkar and Tarikul Islam Papon and Zichen Zhu and Dimitris Staratzis},
title = {Building Deletion-Compliant Data Systems},
journal = {{IEEE} Data Eng. Bull.},
volume = {45},
number = {1},
pages = {21--36},
year = {2022},
url = {http://sites.computer.org/debull/A22mar/p21.pdf},
timestamp = {Tue, 17 Jan 2023 16:47:15 +0100},
biburl = {https://dblp.org/rec/journals/debu/AthanassoulisSP22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}