{{ .client | markdownify }}
| Time | Collins Alumni Conference Room | Time | Tom Davis Founders’ Room |
|---|---|---|---|
| 08:00 - 09:00 | Check-in/Breakfast | ||
| 09:00 - 09:10 | Welcome SatRday LA Organizers |
||
| 09:10 - 09:55 | Keynote: Lifting the Curtain on Machine Learning Norm Matloff |
||
| 09:55 - 10:40 | Using Data Science to solve Platform Problems at TrueCar Rachel Shuyan Wang |
10:00 - 11:10 |
Workshop Building an R Package in 45 Minutes David Edison |
| 10:40 - 11:10 | Productionizing R scripts in the cloud Gergely Daróczi |
||
| 11:10 - 11:20 | Break | ||
| 11:20 - 12:05 | Better Research Planning Through Simulation Neal Fultz |
11:20 - 12:35 |
Workshop Predictive Analytics in R and Prediction Error Alfonso Berumen |
| 12:05 - 12:35 | Performing Data Science: A Musician's Perspective Leondra James |
||
| 12:35 - 01:30 | Lunch | ||
| 01:30 - 02:15 | Future: Friendly Parallel and Distributed Processing in R for Everyone Henrik Bengtsson |
01:30 - 03:00 |
Workshop Text Classification in tidymodels Emil Hvitfeldt |
| 02:15 - 03:00 | From correlation to causation: measuring ad effectiveness at scale Tamara Greasby |
||
| 03:00 - 03:30 | Coffee Break | ||
| 03:30 - 04:00 | Shiny: A GUI for the Tidyverse Carl Ganz |
Multiple Response (Multivariate) Regression models in R Cesar Acosta-Mejia, Qile Wang |
|
| 04:00 - 04:45 | Keynote: Scalable Automatic Machine Learning with H2O Erin LeDell |
||
| 04:45 - 05:15 | 5min Lightning Talk x 6 | ||
| 05:15 - 05:45 | Pipes or Brackets: The Similarities and Differences b/w Dplyr and Data.Table and the Power of Un Jeremy Guinta, Amy Linehan |
||
| 05:45 - 06:00 | Closing Remark SatRday LA Organizers |
||
| 06:00 - 08:00 | Social Event |


Odd Lot MagazinePrint publication diving into the daily lives of employeesin overlooked positions. This montly issue focuses on oilindustry workers from drilling, refining, & transporting it.
24 Co.
Void
Wayfinding
Burke


Subscribe to our newsletter for event updates, hackathons, & more!
Welcome to UW Blockchain Society! We are a tri-campus organization that aims to provide blockchain education to the masses.
At its most basic level, blockchain is literally just a chain of blocks. These blocks hold data and are linked to each other. The 'block' of data is stored on the 'chain'; which is a public database. Some features of the blockchain include immutability, transparency, and more!
A cryptocurrency is a digital currency that uses secure methods of cryptography. They are difficult to change or counterfeit because of this security feature. Cryptocurrencies are usually built on blockchain technology.
We are a tri-campus organization that aims to educate the masses on all things blockchain. Our members are involved in conferences, educational events, programming and more. We provide the best education, mentorship, career tracking and more to our hundreds of members.
Join our Discord server, follow our Twitter, or check out our Instagram. Sponsors can get involved here and students can get involved here.
Composed of students from all three UW Campuses, the Blockchain Society at UW unites students with a common interest across the three campuses. A tri-campus organization is a new breed for student clubs. Utilizing the resources and students across all three UW campuses we aim to revolutionize blockchain education.
Our primary mission is to provide students with education, community, and opportunties within the field of blockchain. Our club is looking to recruit UW students who are engaged, dedicated, and creative to join our team. We also rely on our sponsors to support our organization. Please select your role below to fill out a registration form. Thank you for being a part of our mission!
Students SponsorsWant to get involved? Want to learn more? Have questions or comments? Join our Discord server here : UW Blockchain Society Discord Server


<lcClient>
The <lcClient>
provides the person
or organization sponsoring or requiring the
learning event development.
Category: Learning and training: common content elements


David P. McGuinn ("The Guru"), President of Safe Deposit Specialists, is a former banker with over 40 years of safe deposit experience and is often referred to nationwide as the safe deposit "guru." Safe Deposit Specialists has created the following publications and DVD's that contain all of your safe deposit recommended daily procedures, plus all federal regulations; i.e. USA PATRIOT Act, Suspicious Activity Reporting, FDIC/OCC/NCUA regulatory examination requirements, Bank Protection Act with vault security recommendations and your CURRENT safe deposit STATE regulations (Deceased "joint and single" renters, past due boxes, record retention, unclaimed property) and much more. We invite you to review the compliance manuals below. These are all MUST HAVE publications for any financial institution that now offers safe deposit boxes.
David P. McGuinn, President
Safe Deposit Specialists
P. O. Box 40026
Houston, Texas 77240-0026
Tel:<PHONE_NUMBER>
Email<EMAIL_ADDRESS>Website: http://www.sdspec.com/
Includes Your Current State & Federal Safe Deposit Regulations This unique 250-page safe deposit compliance manual (on CD) contains all of YOUR current state and federal safe deposit regulations which include: Deceased renters, delinquent boxes, unclaimed property, record retention, USA Patriot Act, Bank Secrecy Act, Suspicious Activity Reporting, Comptroller of Currency, Federal Deposit Insurance Corporation, National Credit Union Association, Bank Protection Act, Americans with Disabilities Act and many other regulatory compliance and security requirements. Sale price is 33% off regular retail price of $299.95. Current Sale Price: $199.95; Shipping: $10.50 = Total Price with Shipping $210.45
Includes Your Current State & Federal Safe Deposit Regulations This unique 250-page safe deposit compliance manual (on CD) contains all of YOUR current state and federal safe deposit regulations which include: Deceased renters, delinquent boxes, unclaimed property, record retention, USA Patriot Act, Bank Secrecy Act, Suspicious Activity Reporting, Comptroller of Currency, Federal Deposit Insurance Corporation, National Credit Union Association, Bank Protection Act, Americans with Disabilities Act and many other regulatory compliance and security requirements. Sale price is 33% off regular retail price of $299.95. Current Sale Price: $199.95; Shipping: $10.50 = Total Price with Shipping $210.45
NO safe deposit state regulations included). This 275-page safe deposit procedures handbook covers numerous safe deposit issues including: Customer relations, forms, renting, surrendering, box access, key control and many other recommended day-to-day procedures to properly run your safe deposit department. Sale price is 33% off regular retail price of $299.95. Current Sale Price: $199.95; Shipping: $10.50 = Total Price with Shipping $210.45
Save $240.00 on this Policy and Procedures Handbook and Regulatory/Compliance Manual package. This comprehensive package provides your staff with answers to the "Most Frequently Asked Safe Deposit Questions". The Procedures Handbook and the Compliance Manual package contains all of your current state and federal safe deposit regulations, sample forms and the recommended daily procedures described above. Sale price is 40% off regular price of $299.95+299.95 = $599.90. Current Sale Price: $359.95; Shipping: $10.50 = Total Price with Shipping $370.45
his unique 90-page manual provides over 300 thought provoking audit questions and a very clear and concise system to address all safe deposit audit concerns. It also provides management reporting forms for safe deposit income, expenses, contracts, operating procedures, access guidelines, security, pricing and much more. Current Price: $199.98; Shipping: $10.50 = Total Price with Shipping $210.48
Save $99.50 on this unique 85-page compliance manual which answers the "Most Frequently Asked" safe deposit Patriot Act and SAR compliance questions. It provides sample procedures that will help your financial institutions avoid large non-compliance fines and penalties. It also covers reporting requirements for suspicious activity, many reportable SAR safe deposit transaction examples, record retention, identification disclosure notices, adding signers to new and existing contracts and many other compliance issues. Sale price is 50% off regular retail price of $199.00. Current Sale Price: $99.50; Shipping: $10.50 = Total Price with Shipping $110.00
If your financial institution has never moved or closed a safe deposit vault location, this comprehensive, step-by-step manual is a must. It provides clear and concise answers to the many questions that must be addressed before any boxes are relocated or closed. The publication includes sample renter notification letters, bid specifications, security procedures, insurance requirements and a very detailed list of "Chain of Custody" recommendations. Current Price: $249.00; Shipping: $10.50 = Total Price with Shipping $259.50
When a financial institution's safe deposit vault and boxes are damaged by a hurricane, fire, tornado, earthquake or a plumbing disaster, a written disaster recovery plan is essential. Without this plan it will be very difficult to limit the institution's legal exposure. This manual includes sample notification letters, liability disclaimers, procedures for handling box content removal and replacement, vault access, insurance and security requirements and the most important issue; establishing adequate "health precautions" for all employees and box renters. Current Price: $249.00; Shipping: $10.50 = Total Price with Shipping $259.50


SystemDistributionModel : deployment diagram
Created:
24/05/2018 13:56:05
Modified:
27/08/2020 13:11:33
Project:
Author:
alfiva
Version:
1.0
Advanced:
ID:
{78235633-9B00-407b-8FA1-BD51171D5AC8}


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Library: Foundation
Package: Core
Header: Poco/TypeList.h
Description
TypeListType takes 1 - 20 typename arguments. Usage:
TypeListType<T0, T1, ... , Tn>::HeadType typeList;
typeList is a TypeList of T0, T1, ... , Tn
Types
HeadType
typedef TypeList < T0, TailType > HeadType;


A wrapper around the 'Blat' command line SMTP mailer for Windows. 'Blat' is public domain software, but be sure to read the license before use. It can be found at the Blat website http://www.blat.net.
| Version: | 1.0.1 |
| OS_type: | windows |
| Published: | 2015-03-11 |
| Author: | Stefan Milton Bache |
| Maintainer: | Stefan Milton Bache <stefan at stefanbache.dk> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | blatr results |
| Reference manual: | blatr.pdf |
| Package source: | blatr_1.0.1.tar.gz |
| Windows binaries: | r-devel: blatr_1.0.1.zip, r-release: blatr_1.0.1.zip, r-oldrel: blatr_1.0.1.zip |
| OS X binaries: | r-release: not available, r-oldrel: not available |
| Old sources: | blatr archive |
Please use the canonical form https://CRAN.R-project.org/package=blatr to link to this page.


About
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Welcome! to my Portfolio..
These are some of my Projects:
Event Registration Page
Product Landing Page
Application Engine


Use this page to inform trajans.market if a listing is breaking our terms of use, or could be considered offensive.


#include <regions.h>You then call regions subroutines and functions to filter data using DS9/JS9/Funtools region specifiers. The OpenRegions() function is used to open a regions specification for filtering:
Regions reg = OpenRegions(char *cards, char *region_string, char *mode);where cards is a string containing the FITS cards for the current image, and region_string is the region specifier. The mode string is reserved for future use and can be set to NULL;
Once a region specification has been opened, you can call FilterRegions() to return an array of region mask segments for the specified image section:
got = FilterRegions(Regions reg, int x0, int x1, int y0, int y1, int block, RegionsMask *mask, int *nreg);
When all processing is done, can call CloseRegions() to release all region resources:
CloseRegions(reg);
Your program must be linked against the standard cfitsio FITS-access library, the libregions.a library, and the math library. The following libraries also might be required on your system:
-ldl # for linking dynamic objects
Thus, on a Linux system using gcc, you would generally use the following link line:
gcc -o foo foo.c -lregions -L[path_to_cfitsio] -lcfitsio -ldl -lmNote that after configure has built a Makefile on your platform, the required "extra" libraries (aside from -lm, which always is required) are specified in that file's EXTRA_LIBS variable;
egrep ^EXTRA_LIBS Makefile EXTRA_LIBS = -L/Users/foo/cfitsio -lcfitsio -ldl -lmSo in the above case, the link line would be:
gcc -o foo foo.c -lregions -L/Users/foo/cfitsio -lcfitsio -ldl -lmThis information is contained in the regions.pc file.
#include <regions.h> Regions OpenRegions(char *cards, char *regions, char *mode);
The OpenRegions() routine opens a spatial region specifier for filtering. The first argument is a string containing the FITS header cards. These cards are used to gather WCS and other information about the file whose image data will be filtered. If you are using the cfitsio library, the card string can be retrieved with the fits_convert_hdr2str() call. A NULL can safely be passed if there is no WCS information associated with the data.
The second argument is the spatial region specifier. This can be one or more regions:
circle(512,512,10); -box(400,400,20,40,15) fk5;circle(345.2926,58.879817,151.99998");circle(344.86479,59.014261,223.99998")or it can be an include file containing regions:
@ds9.reg
The third argument is a string containing mode specifiers. At the moment, mode is only used for debugging and should be set to NULL.
The OpenRegions() call analyzes the input spatial region specification and generates a spatial region filter that is then compiled on the fly. Ordinarily, the filter is compiled and linked to produce a slave program, which is then started up as slave process of your application. The FilterRegions() call sends section information to the slave program, which returns a region mask, i.e. an array of valid region segments to be used by your application.
Although not often used, it is worth noting that the REGIONS_PTYPE environment variable offer options on how to build the region filter:
By default, process is generally used for all compilers. However, the filter-building algorithm will check for required external files and will use contained if any are missing.
The returned Regions handle is an opaque handle that will be used in subsequent region library calls.
#include <regions.h> int FilterRegions(Regions reg, int x0, int x1, int y0, int y1, int block, RegionsMask *mask, int *nreg);
The FilterRegions() routine sends an image section to the filter slave process, and retrieves a region mask, i.e. an array of valid region segments that can used by your application to filter the image data.
The first argument is the Region handle returned by OpenRegions(). The next 5 arguments specify the image section in which to calculate the mask. The section value should match the section of the image contained in your image data array, at the specified block factor. However, in keeping with FITS conventions, the section limits are one-indexed, so that the whole image at block 1 is specified by: 1, xdim, 1, ydim, 1.
The slave process (or dynamic object call) returns the region mask in the seventh (mask) argument. The mask an array of RegionMask structs, each element of which has the form:
typedef struct regmasks { int region; int y; int xstart, xstop; } *RegionsMask, RegionsMaskRec;The y, xstart, and xstop elements are one-indexed, and xstop is the last valid element (not the first invalid element). This mask should be freed when no longer needed.
If not specified as NULL, the eighth argument (nreg) returns the number of include regions in the mask. This is useful for allocating arrays of the correct size when processing regions individually.
Finally, the FilterRegions() function returns the number of segments in the mask, so that they can be accessed in this way:
int i, nmask, nreg; RegionsMask mask; nmask = FilterRegions(reg, x0, x1, y0, y1, block, &mask, &nreg); for(i=0; i<nmask; i++){ fprintf(stdout, "#%d: region=%d y=%d, x=%d,%d\n", i, mask[i].region, mask[i].y, mask[i].xstart, mask[i].xstop); }
As a more complete example, consider the case where dbuf contains the image data for the specified section. After calling FilterRegions(), area and cts arrays can be allocated based on the number of include regions. The counts and area in each region then can be calculated in this way:
double *cnts; int i, j, nmask, nreg, *area; nmask = FilterRegions(reg, x0, x1, y0, y1, block, &mask, &nreg); cnts = (double *)calloc(nreg, sizeof(double)); area = (int *)calloc(nreg, sizeof(int)); for(i=0; i<nmask; i++){ area[masks[i].region-1] += masks[i].xstop - masks[i].xstart + 1; for(j=masks[i].xstart-1; j<=masks[i].xstop-1; j++){ cnts[masks[i].region-1] += dbuf[j]; } }
#include <regions.h> int CloseRegions(Regions reg);
The FilterRegions() routine releases all resources associated with this spatial region filter. If the processing ptype is process or contained, (i.e. a slave process is used to perform the filtering), it will also close the slave process. In this case, the returned status will be the completion status of the slave processes. If the processing ptype is dynamic, the dynamic object is released and the return status is from the dlclose() call.


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find_stations
returns a tibble with the nearest stations'
distances using a given point's longitude and latitude values. This function
uses the Haversine formula for distance calculation in km.
find_stations(longitude = 24, latitude = 38)
| longitude | a numeric value in degrees |
|---|---|
| latitude | a numeric value in degrees |
If the given longitude is in [24, 38] and the latitude is in [34, 42] (i.e. are valid values for Greece) returns an ordered tibble with the station_id, name, subdomain and distance values in km. The station's data that are used come from the `stations` dataset. Otherwise returns an error message.
# find the five nearest stations to a point near Thessaloniki, # (lon, lat) = (22.97, 40.60) head(find_stations(22.97, 40.60), 5)#> # A tibble: 5 x 4 #> station_id name subdomain distance #> <int> <chr> <chr> <dbl> #> 1 20158 MS Thessalonikes emy 2.96 #> 2 20201 A.M. SCHOLE THES/NIKES emy 3.97 #> 3 10032 THESSALONIKE kyy 4.56 #> 4 20032 SEDES emy 6.88 #> 5 20033 MIKRA (THES/KES) emy 8.07


The border-width property specifies the width of the four borders. The width can be set as a specific size (in px, pt, cm, em, etc) or by using one of the three pre-defined values: thin, medium, or thick. The border-width property can have from one to four values (for the top border, right border, bottom border, and the left border).
Solid Border of 5px width
Solid Border of Variable width


Instructions
Click Here for usage instructions
Mode1 is used to turn things ON. Mode 2 is used to turn things OFF.
Example: Lets use Mode1 to turn Mono on (and do aditional things): "Strip[0].mono=1;Bus[2].Gain=-20;"
Now "Mode1 Check" should be: "Strip[0].mono"
Mode2 should turn mono Off: "Strip[0].mono=0;Bus[2].Gain=-10;..."
* NEW: Mode1 Check now supports AND/OR:
'Strip[0].mono AND Strip[1].B1'
Additional examples in the project page.


{include file="../application/index/view/common/header.html" /} {include file="../application/index/view/common/leftBar.html" /}
{include file="../application/admin/view/common/manager_header.html" /}
上传文件
标题
备注信息
选择备注信息
合同模板
培训文档
/
附件
确认


AP Top Political News at 5:38 a.m. EST
by EndPlayWeary Democratic voters balk at new presidential candidates
2020 Watch: Big tests loom for late entries and top tier
China urges US to "stop flexing muscles" in South China Sea
AP Exclusive: Climate said to imperil 60% of Superfund sites
US draws fewer new foreign students for 3rd straight year
What's next: Impeachment hearings enter crucial stretch
Drug cost legislation gets a push from White House
Buttigieg touts military service, wary of overstating role
Pelosi invites Trump to testify as new witnesses prepare
2019 Takeaways: Suburb shift, high turnout and ‘Socialism!'


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Welcome, fellow Internet user!
The fact that you are currently reading this means that you have successfully
managed to find a website that is certainly not like the others. Congratulations!
If you are also terribly interested in the neatly visualized results of our
fully-featured SSL/TLS scanner, hotcat.de is your website of choice.
Hotcat is the result of a project carried out in scope of one of the lectures of the
Computer Science study programme at the University of Applied Sciences Stuttgart.
Until now, there might be two questions that have popped up in your mind:
-
What exactly can Hotcat do for me?
-
Why was it named "Hotcat" in the first place? Such a weird name...
As these are indeed very valid questions, why don't we have a closer look?
Let us start with the second one. "Hotcat" simply stands for:
-
HfT
-
Open Source
-
Tool for
-
Crawling the
-
Advancements in
-
TLS
This information also provides a hint concerning your first question: What our
application does is basically to scan the SSL/TLS properties of the one million most visited
web sites throughout the World Wide Web according to alexa.com.
The acquired results are saved in a huge database and then visualized in various graphs
based on the selections of the user (yes, that's you!).
The following shall now give you a short overview of the functions and possibilities each menu point at the
very top of this page (or the Hotcat logo, respectively) provides you with.
-
Clicking the Hotcat logo: Leads you to the page you are currently viewing. You have probably guessed that.
-
Universal Summary: Offers several sub points that give you the possibility to quickly and easily
view high-level graphs based on pre-defined selections. As the different name of the list items suggest,
each sub menu covers a certain topic, the 'Summary' menu even combining various different subjects at once. Give it a try!
-
Detailed Filter: In case the Universal Summary menu point doesn't suit your need
for details, you should have a look at the Detailed Filter. Essentially, it provides you
with the possibility to search for any combination of an arbitrary cipher string, a top level
domain and an SSL/TLS protocol. Besides, a built-in comparison function enables you to
save any number of generated graphs in order to save them for later viewing and comparing.
-
World Map: Gives you an overview of the number of hosts offering (or not offering) Perfect
Forward Secrecy in the form of a beautifully designed world map that is clickable and zoomable.
-
Analyse Me: If you have been wondering for the entirety of your life what the SSL/TLS properties
of your favorite web site are, you will probably enjoy using the "Analyse Me" feature. It provides you
with a text field in which you can enter the URL of that certain web site which is then scanned. Please
keep in mind that it might take a short while to execute the scanning process. If you need an excuse to
take a walk to the coffee machine, there you go!
Congratulations, friend! You have successfully completed reading this short summary of what Hotcat can do for
you. As a reward, you may now get yourself a cookie!
If you are interested in staying up-to-date concerning the advancements of SSL/TLS, please feel free to get a
Hotcat subscription by clicking the "Subscribe" link below.


Program Development Using LFE - Rules and Conventions
1 Introduction
1.1 Abstract
This is a description of programming rules and advise for how to write systems using LFE.
1.2 Caveats and Warnings
This document is a preliminary document and is not complete.
This document contains examples of bad code. They are to demonstrate what not to do. Ready carefully lest you misinterpret.
1.3 Additional Requirements
The requirements for the use of EBC's "Base System" are not documented here, but must be followed at a very early design phase if the "Base System" is to be used. These requirements are documented in 1/10268-AND 10406 Uen "MAP - Start and Error Recovery".
1.4 Purpose
This paper lists some aspects which should be taken into consideration when specifying and programming software systems using LFE. It does not attempt to give a complete description of general specification and design activities which are independent of the use of LFE.
1.5 Background and Credits
LFE Programming Rules and Conventions was copied from the Erlang original and modified for use with LFE programming best practices. All credit to the following:
- EPK/NP Klas Eriksson
- EUA/SU M Williams
- J Armstrong
1.7 Changes in the LFE Version
Obvious changes include the conversion of Erlang code examples to LFE code examples. However, there exist other more subtle differences. They include the following:
- Replacing or complementing occuranges of the word "Erlang" with "LFE"
- Adding clarity to some points.
- Restructure a few sentences and paragraphs.
- Adding missing words or removing extraneous ones.
- Tweaking punctuation.
- Adding formatting (e.g., emphasis).
- Removing content that does not apply to LFE.
- Adding new content that relates only to LFE.
1.6 LFE Source Code
Source code for some of the examples (both good and bad) can be found in the
prog-rules/src
directory
of the
github repo for docs.lfe.io.


Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.
The standard chunk of Lorem Ipsum used since the 1500s is reproduced below for those interested. Sections 1.10.32 and 1.10.33 from "de Finibus Bonorum et Malorum" by Cicero are also reproduced in their exact original form, accompanied by English versions from the 1914 translation by H. Rackham.
It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.


YOU SHALL BE PAID A 30% COMMISSION FOR ASSISTING IN THIS REGARD. NOTE THAT THIS PROPOSAL WILL NOT IN ANY WAY INFRINGE ON ANY LOCAL OR INTERNATIONAL FINANCIAL REGULATIONS AND YOUR AREA OF PROFESSION IS OF NO RELEVANCE TO THE SUCCESSFUL CONCLUSION OF THE TRANSACTION.  REGARDS, DAVID LALAH. FOR FAMILY. N.B. PLEASE REPLY VIA THIS CONFIDENTIAL EMAIL ACCOUNT: lalahfamily@mail.az


|
iDreamSky Game Engine
v1.0.0
|
SkySphere Rendering Test Graphics Component. 更多...
#include <SkySphere.h>
複合項目 | |
| struct | Vertex |
公開方法(Public Methods) | |
| SkySphere (Component::Owner &owner) | |
| SkySphere Constructor. 更多... | |
| virtual | ~SkySphere () |
| SkySphere Destructor. 更多... | |
| DECLARE_COMPONENT (SkySphere, Graphics3Component, false) PROPERTY(ResourcePath | |
| Set the Path of Shader of the SkySphere. 更多... | |
| PROPERTY (ResourcePath, TexturePath) | |
| Set the Path of Texture of the SkySphere. 更多... | |
| 公開方法(Public Methods) 繼承自 Magnum::Graphics3Component | |
| Graphics3Component (Component::Owner &owner_) | |
| Graphics3Component Constructor. 更多... | |
| virtual | ~Graphics3Component () |
| Graphics3Component Destructor. 更多... | |
| 公開方法(Public Methods) 繼承自 Magnum::Component | |
| Component (Component::Owner &owner_) | |
| CLASS (Component, agm::reflection::NullClass) | |
| PROPERTY (bool, Enabled) | |
| Set the Enabled State of Owner, if the component is not active, it become non functional. 更多... | |
| PROPERTY (String, Name) | |
| Set the Name of Owner. 更多... | |
| Component::Owner & | getOwner () |
| const Component::Owner & | getOwner () const |
| virtual bool | isEditorModeActive () const =0 |
公開屬性 | |
| ShaderPath | |
類別朋友(Friends) | |
| class | SkySphereRenderer |
額外的繼承成員 | |
| 公開型態 繼承自 Magnum::Graphics3Component | |
| enum | Mode { DEFAULT = 0, TRANSLATE = 1, ROTATE = 2, SCALE = 3 } |
| enum | CoordSys { LOCAL = 0, PARENT = 1, WORLD = 2, VIEW = 3 } |
| SkySphere::SkySphere | ( | Component::Owner & | owner | ) |
|
virtual |
| Magnum::SkySphere::DECLARE_COMPONENT | ( | SkySphere | , |
| Graphics3Component | , | ||
| false | |||
| ) |
Set the Path of Shader of the SkySphere.
| value_,ResourcePath,the | Path of Shader of the SkySphere Get the Path of Shader of the SkySphere. |
| Magnum::SkySphere::PROPERTY | ( | ResourcePath | , |
| TexturePath | |||
| ) |
Set the Path of Texture of the SkySphere.
| value_,ResourcePath,the | Path of Texture of the SkySphere. Get the Path of Texture of the SkySphere. |


Perfectly Framed, Responsive Images
Centered with border and shadow. Won't stretch beyond original size. Scales down to stay within container.
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The domestic cat (Felis catus or Felis silvestris catus) is a small, usually furry, domesticated, and carnivorous mammal.


interface SocketProxy
Encapsulates messages proxying logic and listeners managing
Author
Dmitriy Bushuev
emit |
Emits message through socket connection abstract fun emit(message: String): Unit |
off |
Unsubscribes listener from socket events abstract fun off(listener: SocketMessengerListener): Unit |
offAll |
Unsubscribes all listeners from socket events abstract fun offAll(): Unit |
on |
Subscribes listener on socket events abstract fun on(listener: SocketMessengerListener): Unit |
SocketMessenger |
Represents base socket managing functionality (@see SocketConnection, @see SocketProxy) interface SocketMessenger : SocketConnection, SocketProxy |


Lots of releases this weekend. I'm tired of them, but glad to get them off my back.
So I released: SQLObject 0.7, Paste 0.3, Paste Script 0.3, Paste Deploy 0.3, Paste WebKit 0.3, and Wareweb 0.1. I'd link them, but I'm tired of linking. See http://sqlobject.org and http://pythonpaste.org.
I redesigned all the sites while I was at it, using Pudge. It works pretty well, you can just throw it at a package and it comes up with something passable, and you can tweak from there. I made a little contribution to Kid while I was at it, to generate non-HTML/XHTML. I feel like I'm all over the place with my development now -- I've been using Cheetah in Paste (Script) lately, ZPT at work an in my web apps, and now Kid for this stuff. And that's just one piece, I'm finding myself touching a wide set of projects now. But it's okay.
I'm looking forward to spending less time Maintaining, and more time Developing. But I still have lots of docs to write, lots of stuff to clean up. My toolset is improving, but it's still tiring. SQLObject 0.7 was a big hump to get over; I'm sure an 0.7.1 version will come out before too long, but it's in pretty good shape all considered. Lots of new features, but it's been so long since I've used 0.6.1 that I can't hardly remember what they are. I've had some plans for changing the way the metaclasses and magic attributes (columns and joins) work for a while, and I'm kind of excited about actually trying them out now -- I didn't want to do it before 0.7, because it's a big refactoring.
But it's good... people are using a lot of these packages, and that's cool. FormEncode lingered for a long time, but with Subway, TurboGears, and another Myghty project using it, I'm glad to see it coming back again. SQLObject has been doing well too; 270 people on the mailing list, and again lots of projects... really FormEncode has ridden on SQLObject's coat tails, since it's all the same projects. But there's also lots of apps out there using SQLObject, and a lot of people who seem to use it with no trouble, so I don't hear much from them. Which is good too.
Paste is still the big challenge for me. If anything its users have dwindled, and the development has been confused, and I know it's been confusing for people from the outside. But now that I'm using Eggs for the infrastructure it all feels much more defined to me. Now, if people can just understand what it is, I think it'd do okay. It doesn't have any competitors, except for some ad hoc tools built into various frameworks, which are typically there simply because they have to be, not because anyone gives them any love. Deployment and development isn't the stuff that excites me the most either, but I wrote this stuff because the tools generally sucked (regardless of framework).
Anyway... I just hope I don't get totally burned out before too long.
Great work man...thanks for all your hard work.  Eat lots of fruits and veggies. Make sure to drink water.
Eat lots of fruits and veggies. Make sure to drink water.
You rule Ian!
As someone who appreciates (greatly) SQLObject, I've come to recognize your name -- and look for it on software! If you're working on or looking at something, I can bet that I'd better be looking at it too.
Thanks for using your genius in such a great way!!
# jamie
Have you ever used Epydoc?? How does Pudge compare? Good work anyway, I'm a fan of all your stuff. Although I'm pretty sure I'll never understand what Paste is, no matter how many times you explain it.
_Epydoc: http://epydoc.sf.net
I've never really used epydoc, though I have looked at it. I'm not a fan of three-paned browsing, though I vaguely remember hearing you can generate non-framed pages from it too. In the end, I found Pudge more useful for generating the rest of the sites -- just doing the simple stuff of rendering the reST files, wrapping them in a template, and (with buildutils) uploading them. But now that the source is up there, I suspect I'll be tweaking that part more as well.
# Ian Bicking
Good work anyway, I'm a fan of all your stuff. Although I'm pretty sure I'll never understand what Paste is, no matter how many times you explain it.


My upcoming sessions
| Coach | Subject | Date | Time | Location | Status | Actions |
|---|---|---|---|---|---|---|
| Antoine Leroy | Biology of the cell: difference between prokaryotic and eukaryotic cells | 16/05/2020 | 16:00 | Coaching room | Requested | Cancelcancel |
| Sofie Dumoulin | I have a hard time grasping derived functions and I have an upcoming exam | 17/05/2020 | 12:00 | Coaching room | Accepted | Cancelcancel |
| Sofie Dumoulin | I have a hard time grasping derived functions and I have an upcoming exam | 17/05/2020 | 12:00 | Coaching room | Declined | |
| Sofie Dumoulin | I have a hard time grasping derived functions and I have an upcoming exam | 17/05/2020 | 12:00 | Coaching room | Cancelled (by coach) |
|
| Sofie Dumoulin | I have a hard time grasping derived functions and I have an upcoming exam | 17/05/2020 | 12:00 | Coaching room | Cancelled (by you) |
Waiting for feedback
| Coach | Subject | Date | Time | Location | Status | Actions |
|---|---|---|---|---|---|---|
| Antoine Leroy | Biology of the cell: difference between prokaryotic and eukaryotic cells | 16/05/2019 | 16:00 | Coaching room | Done | Give feedbackfeedback |
| Sofie Dumoulin | I have a hard time grasping derived functions and I have an upcoming exam | 17/05/2019 | 12:00 | Coaching room | Done |
Archive
| Coach | Subject | Date | Time | Location | Status | Actions |
|---|---|---|---|---|---|---|
| Antoine Leroy | Biology of the cell: introduction | 16/05/2020 | 16:00 | Coaching room | Feedback provided | |
| Antoine Leroy | Biology of the cell: introduction | 16/05/2020 | 16:00 | Coaching room | Automatically closed | |
| Antoine Leroy | Biology of the cell: introduction | 16/05/2020 | 16:00 | Coaching room | Declined | |
| Antoine Leroy | Biology of the cell: introduction | 16/05/2020 | 16:00 | Coaching room | Cancelled (by you) |
|
| Antoine Leroy | Biology of the cell: introduction | 16/05/2020 | 16:00 | Coaching room | Cancelled (by coach) |


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Converting the Point of View of Messages Spoken to Virtual Assistants
Isabelle G. Lee*, Vera Zu, Sai Srujana Buddi, Dennis Liang, Jack G.M. Fitzgerald
Findings of EMNLP 2020, Presented at CODI 2020
[paper], [dataset] Formulated perspectives, or "Point of Views," in spoken utterances/chat messages and how to convert the POV in terms of the virtual assistant for a more natural sounding message delivery.
US patent No. 83358766: Point of View Conversion Model for Messages Spoken to Voice Assistants.
C. Nagaraju, C. Kuzma, I. G. Lee*, J. FitzGerald, D. Liang, and V. Zu., 2018 Seattle, WA: U.S. Patent and Trademark Office
Status: filed Implementation of POV model within the larger virtual assistant architecture. Productionalization in process for 2021 and beyond
Feshbach Resonances in Ultracold Atoms
Isabelle G. Lee*, 2013 Presented at American Physical Society, Division of Atomic Physics
https://scholarworks.wm.edu/honorstheses/640/, When trapping ultracold atoms with lasers, a potential energy well forms. Sometimes atoms are in a boundstate, even a bit beyond the top of this trap due to Feshbach resonances. This thesis establishes a computational toy model of that phenomena.
Minimal ad-hoc screening coefficient from RMP x-point lobe-structures in MAST
Lee, I.*, Mordijck, S., Kirk, A., Harrison, J., 2013 Presented at American Physical Society, Division of Plasma Physics
http://meetings.aps.org/Meeting/DPP13/Event/200579, At the pedestal of tokemak, there's an x-shaped crossing of magnetic field lines. Due to this crossing, plasma can exhibit instabilities, which causes it to emit light. By processing the noisy, whitewashed images, we can de-noise and visualize the shape of plasma instabilities.


The Seneca framework provides a data entity API based loosely on the ActiveRecord style. Here’s how it works.
The Seneca framework is defined by a philosophy that actions are better than objects.
The only first-class citizens in the Seneca framework are actions. You register actions in Seneca by defining a set of key-value pairs that the action matches. When a JSON object is submitted to Seneca, it triggers an action if a matching set of key-value pairs is found. The action returns another JSON object.
Actions can call other actions, and wrap existing actions. Groups of actions can work
together to provide specific functionality, such as user management. Such groups are
called plugins. To keep things organized, a few conventions are used. A role
property identifies a specific area of functionality. A cmd
property identifies a
specific action.
For example:
seneca.act('role:entity,cmd:save', {ent:{...}}, (err,reply) => {...})
This action will save data entities, as part of the group of actions that perform the
role
of data persistence. The ent
property is an object containing the data of the
data entity to save.
In Seneca, data persistence is provided by a set of actions. These are:
save
, load
, list
, remove
. This provides a consistent interface
for all other actions that need to persist data.
As convenience, these data entity actions are also available in the form of data entity
objects, that expose the cmd
‘s as methods - just like the ActiveRecord pattern. However,
you cannot add business logic to these objects.
Business logic belongs inside actions!
First you need a Seneca instance:
var seneca = require('seneca')()
var entities = require('seneca-entity')
seneca.use(entities)
Then you can create data entity objects:
var foo = seneca.make('foo')
The entity name is foo
. If your underlying data store is
MongoDB, this data entity corresponds to the foo
collection. As a convenience, so you don’t have to hook up a database, Seneca provides a transient in-memory store out of the
box (so you can just start coding!).
Next, add some data fields:
foo.name = 'Apple'
foo.price = 1.99
The data fields are just ordinary JavaScript object properties.
Now, you need to save the data:
foo.save$(function(err,foo){
console.log(foo)
})
The save$
method invokes the role:entity,cmd:save
action, passing in the foo object as the value of ent
argument.
The reason for the $
suffix is to namespace the cmd
methods. You can always be 100% certain that vanilla property names
“just work”. Stick to alphanumeric characters and underscore and you’ll be fine.
The save$
method takes a callback, using the standard
Node.js idiom: The first parameter is an error object (if there was an
error), the second the result of the action. The save$
method provides
a new copy of the foo entity. This copy has been saved to persistent
storage, and includes a unique id
property.
Once you’ve saved the data entity, you’ll want to load it again at
some point. Use the load$
method to do this, passing in
the id
property.
var id = '...'
var foo_entity = seneca.make('foo')
foo_entity.load$( id, function(err,foo){
console.log(foo)
})
You can call the load$
method on any data entity object
to load another entity of the same type. The original entity does
not change - you get the loaded entity back via the callback.
To delete entities, you also use the id
property, with the
remove$
method:
var id = '...'
var foo_entity = seneca.make('foo')
foo_entity.remove$( id, function(err){ ... })
To get a list of entities that match a query, use
the list$
method:
var foo_entity = seneca.make('foo')
foo_entity.list$( {price:1.99}, function(err,list){
list.forEach(function( foo ){
console.log(foo)
})
})
The matching entities are returned as an array. The query is a set of
property values, all of which must match. This is equivalent to a SQL
query of the form: col1 = 'val1' AND col2 = 'val2' AND ...
.
Seneca provides a common query format that works
across all data stores. The trade-off is that these queries have
limited expressiveness (more on this later, including the get-out-of-jail options).
One thing you can do is sort the results:
foo_entity.list$( {price:1.99, sort$:{price:-1}}, function(err,list){
...
})
The sort$
meta argument takes a sub-object containing a single key, the field to sort. The value +1
means sort ascending,
and the value -1
means sort descending. The common query format only accepts a sort by one field.
You can also use queries with the load$
and remove$
methods. The first matching entity is selected.
Your data can live in many different places. It can be persistent or transient. It may have business rules that apply to it.It may be owned by different people.
Seneca lets you work with your data, without worrying about where it lives, or what rules should apply to it. This makes it easy to handle different types of data in different ways. To make this easier, Seneca provides a three layer namespace for data entities:
name
: the primary name of the entity. For example: product
base
: group name for entities that “belong together”. For example: shop
zone
: name for a data set belonging to a business entity, geography, or customer. For example: tenant001
The zone and base are optional. You can just use the name element in the same way you use ordinary
database tables, and you’ll be just fine. Here’s an example of creating a foo
entity (as seen
above):
var foo_entity = seneca.make('foo')
Often, a set of plugins that provide the related functions, will use
the same base
. This ensures that the entities used by these
plugins won’t interfere with your own entities.
For example, the user
and auth plugins,
which handle user accounts, and login/logout, use the sys
base,
and work with the following entities:
var sys_user = seneca.make('sys','user')
var sys_login = seneca.make('sys','login')
The underlying database needs to have a name for the table or
collection associated with an entity. The convention is to join the
base and name with an underscore, as '_'
is accepted by most database
systems as a valid name character. This means that name
, base
and
zone
values should only be alphanumeric, and to be completely safe,
should never start with a number.
For the above plugins, the table or collection names would be:
sys_user
and sys_login
.
The zone
element provides a higher level namespace that Seneca itself does not
use. It is merely a placeholder for your own needs. For example, you
may need to isolate customer data into separate physical databases.
The zone is never part of the database table name. You use it by registering multiple instances of the same database plugin, pointing at different physical databases. Seneca’s pattern matching makes this automatic for you (see the entity type mapping examples below).
You can also use the zone for custom business rules. The zone, base and name appear as action arguments - just pattern match the underlying actions! (and there are examples below).
The make
method is available on both the main Seneca object, and on each entity object (where it always has a $ suffix):
// the alias make$ will also work
var foo = seneca.make('foo')
// make() does not exist to avoid property clashes
var bar = foo.make$('bar')
It optionally accepts up to three string arguments, specifying the zone, base and name, always in that order:
var foo = seneca.make('foo')
var bar_foo = seneca.make('bar','foo')
var zen_bar_foo = seneca.make('zen','bar','foo')
When no arguments are given, calling make$
on an entity will create a new instance of the same kind (same zone, base and name):
var foo = seneca.make('foo')
var morefoo = foo.make$()
No data is copied, you get a completely new, empty, data entity (use clone$
instead to copy the data).
If you pass in an object as the last argument to make$
, it will be used to initialize the entity data fields:
var foo = seneca.make('foo', {price:1.99,color:'red'})
console.log('price is '+foo.price+' and color is '+foo.color)
If you call the toString
method on an entity, it will indicate the zone, base and name using the syntax zone/base/name
as a prefix to the entity data:
$zone/base/name:{id=...;prop=val,...}
If any of the namespace elements are not defined, a minus '-'
is used as placeholder:
$-/-/name:{id=...;prop=val,...}
The syntax zone/base/name
is also used a shorthand for an
entity type pattern. For example, -/bar/-
means any entities
that have base bar
.
entity.canon$([options])
Each entity has a canon$
method to extract or test equality of the zone/base/name
properties.
var apple = seneca.make('market','fruit');
// Get the properties
apple.canon$(); // -> '-/market/fruit'
apple.canon$({object: true}); // -> {zone: undefined, base: 'market', name: 'fruit'}
apple.canon$({array: true}); // -> [undefined, 'market', 'fruit']
// Test the properties by 'is a'
apple.canon$({isa: '-/market/fruit'}); // -> true
apple.canon$({isa: {base: 'market', name: 'fruit'}}); // -> true
apple.canon$({isa: '-/market/vegetable'}); // -> false
entity.data$([options])
Each entity also has a data$
method to read and write to the entity.
var apple = seneca.make('market','fruit');
apple.name = 'MacIntosh';
// Includes all $-properties
apple.data$(); // -> {'entity$': {zone: undefined, base: 'market', name: 'fruit'}, name: 'MacIntosh'}
// Exclude all $-properties
apple.data$(false); // -> {name: 'MacIntosh'}
// Update and add data
apple.data$({name: 'Golden Delicious', color: 'Yellow'});
To store persistent data, you’ll need to use an external database. Each database needs a plugin that understands how to talk to that database. The plugins normally use a specific driver module to do the actual talking.
For example, the seneca-mongo-driver plugin uses the mongoDB module.
Using a data store plugin is easy. Register with Seneca and supply the database connection details as options to the plugin:
var seneca = require('seneca')()
seneca.use('mongo-store',{
name:'dbname',
host:'<IP_ADDRESS>',
port:27017
})
The database connection will need to be established before you can
save data. Use the seneca.ready
function to supply a
callback that will be called once the database is good to go:
seneca.ready(function(err){
var apple = seneca.make$('fruit')
apple.name = 'Pink Lady'
apple.price = 1.99
apple.save$(function(err,apple){
if( err ) return console.log(err);
console.log( "apple = "+apple )
})
})
The seneca.ready
function works for any plugin that has a callback dependency
like this - it will only be triggered once all the plugins are ready.
To close any open database connections, use the seneca.close
method:
seneca.close(function(err){
console.log('database closed!')
})
To use a data store plugin, you’ll normally need to install the module via npm:
npm install seneca-mongo-store
The data store plugins use a naming convention of the form seneca-<database>-store
. The suffix db
is dropped. Here are some of the existing data store plugins:
Refer to their project pages for details on behaviour and configuration options. As a convenience, Seneca allows you to drop the seneca-
prefix when registering the plugin:
seneca.use('mongo-store',{ ... })
The default, built-in data store is mem-store
, which provides a
transient in-memory store. This is very useful for quick prototyping
and allows you to get started quickly. By sticking to the common
entity feature set (see below), you can easily swap over to a real database at a
later point.
If you’d like to add support for a database to Seneca, we are working on a guide to writing data store plugins, stay tuned!
One of the most useful features of the Seneca data entity model is the ability to transparently use different databases. This is enabled by the use of Seneca actions for all the underlying operations. This makes it easy to pattern match against specific entity zones, bases and names and send them to different data stores.
You can use the map
option when registering a data store plugin
to specify the data entity types that it should support. All others will be ignored.
The map is a set of key-value pairs, where the key is an entity type
pattern, and the value a list of entity cmd
s
(such as save
,load
,list
,remove
,…),
or '*'
, which means the mapping applies to all cmd
s.
The example mapping below means that all entities with the name tmp
,
regardless of zone or base, will use the transient mem-store
:
seneca.use('mem-store',{ map:{
'-/-/tmp':'*'
}})
To use different databases for different groups of data, use the base
element:
seneca.use('jsonfile-store',{
folder:'json-data', map:{'-/json/-':'*'}
})
seneca.use('level-store',{
folder:'level-data', map:{'-/level/-':'*'}
})
This mapping sends -/json/- entities to the jsonfile data store, and -/level/- entities to the leveldb data store.
Here it is in action:
seneca.ready(function(err,seneca){
;seneca
.make$('json','foo',{propA:'val1',propB:'val2'})
.save$(function(err,json_foo){
console.log(''+json_foo)
;seneca
.make$('level','bar',{propA:'val3',propB:'val4'})
.save$(function(err,level_bar){
console.log(''+level_bar)
}) })
})
The full source code is available in the data-entities folder of the seneca examples repository. (The ; prefix is just a marker to avoid excessive indentation)
You can track and debug the activity of data entities by reviewing the action log, and the plugin log for the datastore.
For example, run the example above, that uses both the jsonfile store and the leveldb store, using the --seneca.log=type:act
log filter, and you get the output:
$ node main.js --seneca.log=type:act
...
2013-04-18T10:05:45.818Z DEBUG act jsonfile-store BCL wa8xc5 In {cmd=save,role=entity,ent=$-/json/foo:{id=;propA=val1;propB=val2},name=foo,base=json} gx38qi
2013-04-18T10:05:45.821Z DEBUG act jsonfile-store BCL wa8xc5 OUT [$-/json/foo:{id=ulw8ew;propA=val1;propB=val2}] gx38qi
...
2013-04-18T10:05:45.822Z DEBUG act level-store GPN 8dnjyt IN {cmd=save,role=entity,ent=$-/level/bar:{id=;propA=val3;propB=val4},name=bar,base=level} 8ml1p7
2013-04-18T10:05:45.826Z DEBUG act level-store GPN 8dnjyt OUT [$-/level/bar:{id=7de92fc0-f402-411d-80ea-59e435a8c398;propA=val3;propB=val4}] 8ml1p7
...
This shows the role:entity, cmd:save
action of both data
stores. Seneca actions use a JSON-in/JSON-out model. You can trace
this using the IN
and OUT
markers in the log
entries. The IN
and OUT
entries are connected by an action identifier, such as wa8xc5
.
This lets you trace actions when they interleave asynchronously.
The IN
log entries show the action arguments, including the entity data, and the entity zone, base and name (if defined).
Once the action completes, the OUT
log entries show the returned data. In particular, notice that the entities now have generated id
s.
The data stores themselves also generate logging output. Try --seneca.log=type:plugin
to see this:
$ node main.js --seneca.log=type:plugin
2013-04-18T10:39:54.961Z DEBUG plugin jsonfile-store QSG cop6lx save/insert $-/json/foo:{id=nt7usm;propA=val1;propB=val2} jsonfile-store~QSG~-/json/-
2013-04-18T10:40:19.802Z DEBUG plugin level-store JNG save/insert $-/level/bar:{id=7166037e-112d-448c-9afa-84e69d84aa25;propA=val3;propB=val4} level-store~JNG~-/level/-
In this case, the data stores creates a log entry for each save operation that inserts data. The entity data is also shown.
Each plugin instance gets a three letter tag, such as QSG
, or JNG
. This helps you distinguish between multiple mappings that use the same data store.
Each data store plugin instance can be ths be described by the name of the data store plugin, the tag, and the associated mapping. This is the last element of the log entry. For example:
level-store~JNG~-/level/-
Issues? From spelling errors to broken tutorials and everything in between, report them here.


Some time ago we published an article with a comparison of Angular 2 and React. In that article, we showed pros and cons of these frameworks and suggested what to choose in 2017 for particular purposes. So, what is the situation in the frontend garden in 2018? JavaScript frameworks are developing at an extremely fast pace, meaning that today we have frequently updated versions of Angular, ReactJS and another player on this market — Vue.js. We analyzed the number of open positions worldwide that require a specific knowledge of a certain framework. As a source, we took Indeed.com and got the following distribution according to more than 60,000 job offers. Taking into account the following data, we decided to share the main advantages and disadvantages of every frontend framework and help tech professionals or engineers to choose the best one for their development needs.
Angular is superheroic JavaScript MVVM framework, founded in 2009, which is awesome for building highly interactive web applications.
ReactJS is a JavaScript library, open sourced by Facebook in 2013, which is great for building huge web applications where data is changeable on a regular basis.


--- title: Rules description: Describes the rules used to configure Mixer's policy and telemetry features. location: https://istio.io/docs/reference/config/policy-and-telemetry/istio.policy.v1beta1.html layout: protoc-gen-docs generator: protoc-gen-docs schema: istio.policy.v1beta1.Rule schema: istio.policy.v1beta1.AttributeManifest number_of_entries: 26 ---
Describes the rules used to configure Mixer’s policy and telemetry features.
An instance field of type Value denotes that the expression for the field is of dynamic type and can evaluate to any
ValueType enum values. For example, when
authoring an instance configuration for a template that has a field data
of type istio.policy.v1beta1.Value
,
both of the following expressions are valid data: source.ip | ip("<IP_ADDRESS>")
, data: request.id | ""
;
the resulting type is either ValueType.IP_ADDRESS or ValueType.STRING for the two cases respectively.
Objects of type Value are also passed to the adapters during request-time. There is a 1:1 mapping between
oneof fields in Value
and enum values inside ValueType
. Depending on the expression’s evaluated ValueType
,
the equivalent oneof field in Value
is populated by Mixer and passed to the adapters.
An instance field of type IPAddress denotes that the expression for the field must evaluate to ValueType.IP_ADDRESS
Objects of type IPAddress are also passed to the adapters during request-time for the instance fields of type IPAddress
An instance field of type Duration denotes that the expression for the field must evaluate to ValueType.DURATION
Objects of type Duration are also passed to the adapters during request-time for the instance fields of type Duration
An instance field of type TimeStamp denotes that the expression for the field must evaluate to ValueType.TIMESTAMP
Objects of type TimeStamp are also passed to the adapters during request-time for the instance fields of type TimeStamp
An instance field of type DNSName denotes that the expression for the field must evaluate to ValueType.DNS_NAME
Objects of type DNSName are also passed to the adapters during request-time for the instance fields of type DNSName
An instance field of type StringMap denotes that the expression for the field must evaluate to ValueType.STRING_MAP
Objects of type StringMap are also passed to the adapters during request-time for the instance fields of type StringMap
DO NOT USE !! Under Development An instance field of type EmailAddress denotes that the expression for the field must evaluate to ValueType.EMAIL_ADDRESS
Objects of type EmailAddress are also passed to the adapters during request-time for the instance fields of type EmailAddress
DO NOT USE !! Under Development An instance field of type Uri denotes that the expression for the field must evaluate to ValueType.URI
Objects of type Uri are also passed to the adapters during request-time for the instance fields of type Uri
Direct HTTP response for a client-facing error message which can be attached to an RPC error.
AttributeManifest describes a set of Attributes produced by some component of an Istio deployment.
A Rule is a selector and a set of intentions to be executed when the
selector is true
The following example instructs Mixer to invoke prometheus-handler
handler for all services and pass it the
instance constructed using the ‘RequestCountByService’ instance.
- match: match(destination.service.host, "*")
actions:
- handler: prometheus-handler
instances:
- RequestCountByService
Action describes which Handler to invoke and what data to pass to it for processing.
The following example instructs Mixer to invoke ‘prometheus-handler’ handler and pass it the object constructed using the instance ‘RequestCountByService’.
handler: prometheus-handler
instances:
- RequestCountByService
An Instance tells Mixer how to create instances for particular template.
Instance is defined by the operator. Instance is defined relative to a known template. Their purpose is to tell Mixer how to use attributes or literals to produce instances of the specified template at runtime.
The following example instructs Mixer to construct an instance associated with template ‘istio.mixer.adapter.metric.Metric’. It provides a mapping from the template’s fields to expressions. Instances produced with this instance can be referenced by Actions using name ‘RequestCountByService’
- name: RequestCountByService
template: istio.mixer.adapter.metric.Metric
params:
value: 1
dimensions:
source: source.name
destination_ip: destination.ip
Handler allows the operator to configure a specific adapter implementation.
Each adapter implementation defines its own params
proto.
In the following example we define a metrics
handler for the prometheus
adapter.
The example is in the form of a Kubernetes resource:
* The metadata.name
is the name of the handler
* The kind
refers to the adapter name
* The spec
block represents adapter-specific configuration as well as the connection information
### Sample-1: No connection specified (for compiled in adapters)
### Note: if connection information is not specified, the adapter configuration is directly inside
### `spec` block. This is going to be DEPRECATED in favor of Sample-2
apiVersion: "config.istio.io/v1alpha2"
kind: handler
metadata:
name: requestcount
namespace: istio-system
spec:
compiledAdapter: prometheus
params:
metrics:
- name: request_count
instance_name: requestcount.metric.istio-system
kind: COUNTER
label_names:
- source_service
- source_version
- destination_service
- destination_version
---
### Sample-2: With connection information (for out-of-process adapters)
### Note: Unlike sample-1, the adapter configuration is parallel to `connection` and is nested inside `param` block.
apiVersion: "config.istio.io/v1alpha2"
kind: handler
metadata:
name: requestcount
namespace: istio-system
spec:
compiledAdapter: prometheus
params:
param:
metrics:
- name: request_count
instance_name: requestcount.metric.istio-system
kind: COUNTER
label_names:
- source_service
- source_version
- destination_service
- destination_version
connection:
address: localhost:8090
---
Connection allows the operator to specify the endpoint for out-of-process infrastructure backend. Connection is part of the handler custom resource and is specified alongside adapter specific configuration.
Authentication allows the operator to specify the authentication of connections to out-of-process infrastructure backend.
Tls let operator specify client authentication setting when TLS is used for connection to the backend.
OAuth let operator specify config to fetch access token via oauth when using TLS for connection to the backend.
Mutual let operator specify TLS configuration for Mixer as client if mutual TLS is used to secure connection to adapter backend.
AttributeInfo describes the schema of an Istio Attribute
.
Istio uses attributes
to describe runtime activities of Istio services.
An Istio attribute carries a specific piece of information about an activity,
such as the error code of an API request, the latency of an API request, or the
original IP address of a TCP connection. The attributes are often generated
and consumed by different services. For example, a frontend service can
generate an authenticated user attribute and pass it to a backend service for
access control purpose.
To simplify the system and improve developer experience, Istio uses shared attribute definitions across all components. For example, the same authenticated user attribute will be used for logging, monitoring, analytics, billing, access control, auditing. Many Istio components provide their functionality by collecting, generating, and operating on attributes. For example, the proxy collects the error code attribute, and the logging stores it into a log.
Each Istio attribute must conform to an AttributeInfo
in an
AttributeManifest
in the current Istio deployment at runtime. An
AttributeInfo
is used to define an attribute’s
metadata: the type of its value and a detailed description that explains
the semantics of the attribute type. Each attribute’s name is globally unique;
in other words an attribute name can only appear once across all manifests.
The runtime presentation of an attribute is intentionally left out of this specification, because passing attribute using JSON, XML, or Protocol Buffers does not change the semantics of the attribute. Different implementations can choose different representations based on their needs.
Because many systems already have REST APIs, it makes sense to define a standard HTTP mapping for Istio attributes that are compatible with typical REST APIs. The design is to map one attribute to one HTTP header, the attribute name and value becomes the HTTP header name and value. The actual encoding scheme will be decided later.
A template for an HTTP header manipulation. Values in the template are expressions
that may reference action outputs by name. For example, if an action x
produces an output
with a field f
, then the header value expressions may use attribute x.output.f
to reference
the field value:
request_header_operations:
- name: x-istio-header
values:
- x.output.f
If the header value expression evaluates to an empty string, and the operation is to either replace or append a header, then the operation is not applied. This permits conditional behavior on behalf of the adapter to optionally modify the headers.
ValueType describes the types that values in the Istio system can take. These are used to describe the type of Attributes at run time, describe the type of the result of evaluating an expression, and to describe the runtime type of fields of other descriptors.
| Name | Description |
|---|---|
VALUE_TYPE_UNSPECIFIED |
Invalid, default value. |
STRING |
An undiscriminated variable-length string. |
INT64 |
An undiscriminated 64-bit signed integer. |
DOUBLE |
An undiscriminated 64-bit floating-point value. |
BOOL |
An undiscriminated boolean value. |
TIMESTAMP |
A point in time. |
IP_ADDRESS |
An IP address. |
EMAIL_ADDRESS |
An email address. |
URI |
A URI. |
DNS_NAME |
A DNS name. |
DURATION |
A span between two points in time. |
STRING_MAP |
A map string -> string, typically used by headers. |
HTTP response codes. For more details: http://www.iana.org/assignments/http-status-codes/http-status-codes.xhtml
| Name | Description |
|---|---|
Empty |
Empty - This code not part of the HTTP status code specification, but it is needed for proto
|
Continue |
|
OK |
|
Created |
|
Accepted |
|
NonAuthoritativeInformation |
|
NoContent |
|
ResetContent |
|
PartialContent |
|
MultiStatus |
|
AlreadyReported |
|
IMUsed |
|
MultipleChoices |
|
MovedPermanently |
|
Found |
|
SeeOther |
|
NotModified |
|
UseProxy |
|
TemporaryRedirect |
|
PermanentRedirect |
|
BadRequest |
|
Unauthorized |
|
PaymentRequired |
|
Forbidden |
|
NotFound |
|
MethodNotAllowed |
|
NotAcceptable |
|
ProxyAuthenticationRequired |
|
RequestTimeout |
|
Conflict |
|
Gone |
|
LengthRequired |
|
PreconditionFailed |
|
PayloadTooLarge |
|
URITooLong |
|
UnsupportedMediaType |
|
RangeNotSatisfiable |
|
ExpectationFailed |
|
MisdirectedRequest |
|
UnprocessableEntity |
|
Locked |
|
FailedDependency |
|
UpgradeRequired |
|
PreconditionRequired |
|
TooManyRequests |
|
RequestHeaderFieldsTooLarge |
|
InternalServerError |
|
NotImplemented |
|
BadGateway |
|
ServiceUnavailable |
|
GatewayTimeout |
|
HTTPVersionNotSupported |
|
VariantAlsoNegotiates |
|
InsufficientStorage |
|
LoopDetected |
|
NotExtended |
|
NetworkAuthenticationRequired |
Header operation type.
| Name | Description |
|---|---|
REPLACE |
Replace a header by name. |
REMOVE |
Remove a header by name. Values are ignored. |
APPEND |
Append values to the existing header values. |
Fraction percentages support several fixed denominator values.
| Name | Description |
|---|---|
HUNDRED |
100. Example: 1⁄100 = 1%. |
TEN_THOUSAND |
10,000. Example: 1⁄10000 = 0.01%. |
AuthHeader specifies how to pass access token with authorization header.
| Name | Description |
|---|---|
PLAIN |
Access token is passed in authorization header as what it is (authorization: some-token). |
BEARER |
Access token is passed to adapter as bearer token (i.e. authorization: bearer some-token). |


Pennsylvania governor nixes Down syndrome abortion bill
by Louis CasianoPennsylvania's Democratic Gov. Tom Wolf vetoed a bill Thursday that would have banned abortions in the state in cases where a fetus is diagnosed with Down syndrome, calling it a restriction that interferes with a decision made between women and medical professionals.
Wolf's action came a day after the state's Republican-led Legislature passed the measure amid a wave of abortion restriction bills advancing in several conservative states.
“Physicians and their patients must be able to make choices about medical procedures based on best practices and standards of care," Wolf, an abortion rights supporter, wrote in an online statement.
JURY AWARDS PLANNED PARENTHOOD NEARLY $1M OVER SECRET VIDEOS BY PRO-LIFE GROUP
Pennsylvania allows abortions at up to the 24th week of pregnancy for any reason except to select a gender. Had it passed, the new measure would have prohibited abortions if a fetus is diagnosed with Down syndrome, except in cases of rape, incest or medical emergencies.
Around 6,000 babies are born with Down syndrome annually, according to the National Down Syndrome Society.
“There is no evidence that this bill is needed in Pennsylvania," Wolf said. "I have significant concerns that enforcement of this legislation would upend the doctor-patient relationship and impede on patient confidentiality."
CLICK HERE TO GET THE FOX NEWS APP
Supporters of the bill argued it would have protected a vulnerable population. Opponents said it would have violated women's right to make their own decisions about abortion.
The Associated Press contributed to this report.


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Chat with us or File a bug


If you are just interested in quickly using Luga Data's out of the box features and you don't care about its inner working, you can skip this section. But if you want to get a better understanding of the library or if you need to customize and extend it, becoming familiar with this is paramount.
luga.Notifier is part of Luga Common, and plays a critical role in Luga Data. It's loosely based on the observer/notifier design pattern, with some peculiar touches, favouring convention over configuration. Binding between DataSet, DetailSet and Region objects is all achieved using Notifier.
luga.Notifier provides the base functionality necessary to maintain a list of observers and send notifications to them. It's an abstract class, so it's forbidden to use this class directly (it throws an exception if you do), it can only be used as a base class. The Notifier class does not define any notification messages, so it is up to the developer to define the notifications.
Let's dig straight into some samples, using uber-simplified code:
const NotifierClass = function(){
luga.extend(luga.Notifier, this); // Inherit from luga.Notifier
};
const ObserverClass = function(){
// Just two placeholders, empty methods
this.onCompleteHandler = function(data){
alert(data.message);
};
this.onSomethingHandler = function(){};
};
notifierObj = new NotifierClass();
observerObj = new ObserverClass();
// Register the observer
notifierObj.addObserver(observerObj);
// Now notifierObj can broadcast events and observerObj may listen to them:
notifierObj.notifyObservers("complete", { message: "I did the job" });
// => alert("I did the job")
notifierObj.notifyObservers("restart", { message: "I am staring over" });
// => Nothing happens here, since observerObj.onRestartHandler() does not exists
Once you call notifyObservers("complete", { message: "I did the job" }), the notifier will loop over its observers, looking for objects that implement an "onCompleteHandler" method.
It's critical to note the naming convention here, for a "complete" event, there must be a matching "onCompleteHandler" method. If a method matching the naming convention is found, it gets executed, passing the notification data as its single argument. If the observer does not implements a matching method, nothing happens.
luga.Notifier is a very compact class, exposing just three public methods. You can find the complete API here.
Adds an observer object to the list of observers. Observer objects should implement a method that matches a naming convention for the events they are interested in. For an event named "complete" they must implement a method named: "onCompleteHandler".
| Arguments | ||
|---|---|---|
| observer | {Object} | Observer object. Required |
Sends a notification to all interested observers registered with the notifier.
| Arguments | ||
|---|---|---|
| eventName | {string} | Name of the event. Required |
| data | {Object} | Object containing data to be passed from the point of notification to all interested observers. If there is no relevant data to pass, use an empty object. Required |
Removes the given observer object. The notifier will stop broadcasting notifications to it.
| Arguments | ||
|---|---|---|
| observer | {Object} | Observer object. Required |


fasces - FASS Curves
Project Wiki
Open Source Repository
on github.com
DIY meander cube
Input
Output
Base:
STL file
Title:
Path nodes
decimal
with labels
decimal
0,1,2,3,13,12,11,10,20,21,22,23,33,32,31,30 ,130,131,132,133,123,122,121,120,110,111,112,113,103,102,101,100 ,200,201,202,203,213,212,211,210,220,221,222,223,233,232,231,230 ,330,331,332,333,323,322,321,320,310,311,312,313,303,302,301,300 ,300
Questions, remarks to:
Dr. Georg Fischer


deepstream powers a wide array of realtime usecases, from collaboration apps, multiplayer games and financial trading platforms to geo-tracking, IoT and digital messenger pigeons
Case Study:How deepstream helped Briteback take enterprise communication to the next level
Tutorial: Building a multiplayer spaceshooter with deepstream.io and pixi.js
Case Study:How deepstream helped iValue8 build realtime analytics for shopping malls
Case Study:Building a stock trading platform in the cloud using deepstream
Tutorial: Deploying deepstream with MongoDB and Redis on digital ocean
Interactive JSON documents that can be edited and observed. Changes are persisted and synced across clients.
Many clients can subscribe to topics and receive data whenever other clients publish it to the same topic.
Clients can register functions to be called by other clients. Deepstream will smartly route requests and responses.


You will receive summary insights and periodic notifications about how your metrics are behaving via email/slack/other platforms.
Gin will dig deep into the reasons for the behavior of the metric by extensively analyzing it over all the possible dimensions.
You will receive the findings of this investigation with relevat supporting information. Gin will also file an incident and record all happenings for human review at a later point in time.
Gin will alert the human analyst and send the findings unearthed so far for further probe and conclusion.
Gin will record the conversation history, learn from this conclusion for limited future usage and close this incident.

Don't want to login or download an app? We've got you covered, you can interact with the platform via email, slack and many more interfaces.
Use our robust rule engines and machine learning algorithms to clean and enrich your data coming from several disparate sources.
Standard metrics out of the box
In built forecast models
Readily usable public data sets


Who we are ??
We are an organization based in Gurgaon. Started in 2020, we aim towards providing low cost education of Total Productive Maintenance so that you can help your organization to reduce the losses in the production and take your organization on the new heights. We provide the Online learning to the people using the android application. You can go to the application and have a free trial and explore the various features and functionality of the app. Join us have a trial and let us know how you would rate us.


The result of entry action will auto bring the message to this directive, the message will auto floating on the page. You may use this directive to display the in-line message.
If you put the message directive on the top and the page too long, you may required to call javascript scroll to the top action after each CRUD response
Usage
- Display the inline message
Arguments
| Param |
Type |
Details |
| ng-model |
expression |
assignable expression to bind to |
| auto-close |
string |
auto close the message |
Methods
| Method |
Return Value |
Description |
| Initialize() |
null |
Initialize the directive |
| InitScope |
null |
Initialize the directive scope |
| InitDirective |
null |
Build the default behaviors |


Vicki's 60th Birthday Bash
Press the nifty green button dollface...
Please wait while we retrieve your photo...


3DC IAP Conference is a collation of related IAP activities to the SUTD community.
It will last from 06 January - 23 January 2020, excluding UPOP.
It is currently a working title because the name is still in the midst of being decided. After all, it’s a 4 week event and no longer just one week!
All IAPS are currently conducted individually by separate parties, which are usually a series of talks / activities / workshops that encourage students to pursue their interests.
Issues:
Adopting the model of a Conference with large-scale talks targeted at the general audience but also breakout sessions that participants can sign-up for on an individualised manner.
This emphasizes on personal agency to allow for self-discovery of SUTD’s ecosystem
We intend to bring relevant IAPs together offered under conference style with the aim to widen the learning horizon and deepen the subject knowledge of the SUTD community by complementing the experiential learning
component of a student’s experience.
We foresee that such an event will aid students to participate in meaningful exchange of rich ideas through diversified experiences and engagement in advanced technologies.
We also hope that such an event with shared resources will lead to repeats of such an event for subsequent batches.
Referencing to the discoverSUTD documentation, we will be able to have a centralised hub for sign ups as well as streamlining feedback and organisation operations as
well as a IAP calendar which will allow students to plan out their activities for the period.
We plan to document the entire process so that planning and resources can be referred to or reused so that this GIANT IAP will become easily
repeatable for the next batch of students.


CSS parser / stringifier.
$ npm install css
var css = require('css');
var obj = css.parse('body { font-size: 12px; }', options);
css.stringify(obj, options);
Accepts a CSS string and returns an AST object
.
options
:
css
. Makes errors and source
maps more helpful, by letting them know where code comes from.Accepts an AST object
(as css.parse
produces) and returns a CSS string.
options
:
source
option of css.parse
is strongly recommended when creating a source map.
Specify sourcemap: 'generator'
to return the SourceMapGenerator object
instead of serializing the source map.false
to disable) reads any
source maps referenced by the input files when generating the output source
map. When enabled, file system access may be required for reading the
referenced source maps.var ast = css.parse('body { font-size: 12px; }', { source: 'source.css' });
var css = css.stringify(ast);
var result = css.stringify(ast, { sourcemap: true });
result.code // string with CSS
result.map // source map object
Errors thrown during parsing have the following properties:
String
. The full error message with the source position.String
. The error message without position.String
or undefined
. The value of options.source
if
passed to css.parse
. Otherwise undefined
.Integer
.Integer
.String
. The portion of code that couldn't be parsed.When parsing with the silent
option, errors are listed in the
parsingErrors
property of the stylesheet
node instead
of being thrown.
If you create any errors in plugins such as in rework, you must set the same properties for consistency.
Interactively explore the AST with http://iamdustan.com/reworkcss_ast_explorer/.
All nodes have the following properties.
Information about the position in the source string that corresponds to the node.
Object
:
Object
:
Number
.Number
.Object
:
Number
.Number
.String
or undefined
. The value of options.source
if passed to
css.parse
. Otherwise undefined
.String
. The full source string passed to css.parse
.The line and column numbers are 1-based: The first line is 1 and the first column of a line is 1 (not 0).
The position
property lets you know from which source file the node comes
from (if available), what that file contains, and what part of that file was
parsed into the node.
String
. The possible values are the ones listed in the Types section below.
A reference to the parent node, or null
if the node has no parent.
The available values of node.type
are listed below, as well as the available
properties of each node (other than the common properties listed above.)
The root node returned by css.parse
.
Object
:
Array
of nodes with the types rule
, comment
and any of the
at-rule types.Array
of Error
s. Errors collected during parsing when
option silent
is true.Array
of String
s. The list of selectors of the rule, split
on commas. Each selector is trimmed from whitespace and comments.Array
of nodes with the types declaration
and comment
.String
. The property name, trimmed from whitespace and
comments. May not be empty.String
. The value of the property, trimmed from whitespace and
comments. Empty values are allowed.A rule-level or declaration-level comment. Comments inside selectors, properties and values etc. are lost.
String
. The part between the starting /*
and the ending */
of the comment, including whitespace.The @charset
at-rule.
String
. The part following @charset
.The @custom-media
at-rule.
String
. The --
-prefixed name.String
. The part following the name.The @document
at-rule.
String
. The part following @document
.String
or undefined
. The vendor prefix in @document
, or
undefined
if there is none.Array
of nodes with the types rule
, comment
and any of the
at-rule types.The @font-face
at-rule.
Array
of nodes with the types declaration
and comment
.The @host
at-rule.
Array
of nodes with the types rule
, comment
and any of the
at-rule types.The @import
at-rule.
String
. The part following @import
.The @keyframes
at-rule.
String
. The name of the keyframes rule.String
or undefined
. The vendor prefix in @keyframes
, or
undefined
if there is none.Array
of nodes with the types keyframe
and comment
.Array
of String
s. The list of “selectors” of the keyframe rule,
split on commas. Each “selector” is trimmed from whitespace.Array
of nodes with the types declaration
and comment
.The @media
at-rule.
String
. The part following @media
.Array
of nodes with the types rule
, comment
and any of the
at-rule types.The @namespace
at-rule.
String
. The part following @namespace
.The @page
at-rule.
Array
of String
s. The list of selectors of the rule, split
on commas. Each selector is trimmed from whitespace and comments.Array
of nodes with the types declaration
and comment
.The @supports
at-rule.
String
. The part following @supports
.Array
of nodes with the types rule
, comment
and any of the
at-rule types.CSS:
body {
background: #eee;
color: #888;
}
Parse tree:
{
"type": "stylesheet",
"stylesheet": {
"rules": [
{
"type": "rule",
"selectors": [
"body"
],
"declarations": [
{
"type": "declaration",
"property": "background",
"value": "#eee",
"position": {
"start": {
"line": 2,
"column": 3
},
"end": {
"line": 2,
"column": 19
}
}
},
{
"type": "declaration",
"property": "color",
"value": "#888",
"position": {
"start": {
"line": 3,
"column": 3
},
"end": {
"line": 3,
"column": 14
}
}
}
],
"position": {
"start": {
"line": 1,
"column": 1
},
"end": {
"line": 4,
"column": 2
}
}
}
]
}
}
MIT


- 9AM: Practicing coding and finishing labs from the previous day.
- 10AM: Gathering in a circle and doing stretch and share.
- 10:15AM: Starting the lesson for the day.
- 12PM: Lunch!!!
- 1PM: Going back to the classroom and preparing for the lesson.
- 1:05PM: Starting the lesson.
- 2PM: Gathering in a circle and playing a game.
- 2:15PM: Continuing the lesson.


Alex Schneidman
CS Student - Web Developer - Java Programmer
{% load staticfiles %}
My name is Alex Schneidman. I recently graduated from New Trier High School and will be attending Carnegie Mellon University as a Computer Science major this upcoming fall.
I'm looking for internship opportunities this summer in IT and tech fields. I have experience in Django, HTML, CSS, and Bootstrap, as well as Java.
Here's a link to my academic resume containing information about my course load over highschool, extra-curriculars, and test scores:
Here's a link to my work resume:


// int Enum Pattern - has severe problems! public static final int SEASON_WINTER = 0; public static final int SEASON_SPRING = 1; public static final int SEASON_SUMMER = 2; public static final int SEASON_FALL = 3;This pattern has many problems, such as:
int
you can pass in any other int value where
a season is required, or add two seasons together (which makes no
sense).SEASON_
) to avoid
collisions with other int enum types.switch
statements.
In 5.0, the Java™ programming language gets linguistic support for enumerated types. In their simplest form, these enums look just like their C, C++, and C# counterparts:
enum Season { WINTER, SPRING, SUMMER, FALL }
But appearances can be deceiving. Java programming language
enums are far more powerful than their counterparts in other
languages, which are little more than glorified integers. The new
enum
declaration defines a full-fledged class (dubbed
an enum type). In addition to solving all the problems
mentioned above, it allows you to add arbitrary methods and fields
to an enum type, to implement arbitrary interfaces, and more. Enum
types provide high-quality implementations of all the
Object methods. They are Comparable and
Serializable, and the serial form is designed to withstand
arbitrary changes in the enum type.
Here is an example of a playing card class built atop a couple
of simple enum types. The Card
class is immutable, and
only one instance of each Card
is created, so it need
not override equals
or hashCode
:
import java.util.*; public class Card { public enum Rank { DEUCE, THREE, FOUR, FIVE, SIX, SEVEN, EIGHT, NINE, TEN, JACK, QUEEN, KING, ACE } public enum Suit { CLUBS, DIAMONDS, HEARTS, SPADES } private final Rank rank; private final Suit suit; private Card(Rank rank, Suit suit) { this.rank = rank; this.suit = suit; } public Rank rank() { return rank; } public Suit suit() { return suit; } public String toString() { return rank + " of " + suit; } private static final List<Card> protoDeck = new ArrayList<Card>(); // Initialize prototype deck static { for (Suit suit : Suit.values()) for (Rank rank : Rank.values()) protoDeck.add(new Card(rank, suit)); } public static ArrayList<Card> newDeck() { return new ArrayList<Card>(protoDeck); // Return copy of prototype deck } }The
toString
method for Card
takes
advantage of the toString
methods for
Rank
and Suit
. Note that the
Card
class is short (about 25 lines of code). If the
typesafe enums (Rank
and Suit
) had been
built by hand, each of them would have been significantly longer
than the entire Card
class.
The (private) constructor of Card
takes two
parameters, a Rank
and a Suit
. If you
accidentally invoke the constructor with the parameters reversed,
the compiler will politely inform you of your error. Contrast this
to the int
enum pattern, in which the program would
fail at run time.
Note that each enum type has a static values
method
that returns an array containing all of the values of the enum type
in the order they are declared. This method is commonly used in
combination with the for-each loop to
iterate over the values of an enumerated type.
The following example is a simple program called
Deal
that exercises Card
. It reads two
numbers from the command line, representing the number of hands to
deal and the number of cards per hand. Then it creates a new deck
of cards, shuffles it, and deals and prints the requested
hands.
import java.util.*; public class Deal { public static void main(String args[]) { int numHands = Integer.parseInt(args[0]); int cardsPerHand = Integer.parseInt(args[1]); List<Card> deck = Card.newDeck(); Collections.shuffle(deck); for (int i=0; i < numHands; i++) System.out.println(deal(deck, cardsPerHand)); } public static ArrayList<Card> deal(List<Card> deck, int n) { int deckSize = deck.size(); List<Card> handView = deck.subList(deckSize-n, deckSize); ArrayList<Card> hand = new ArrayList<Card>(handView); handView.clear(); return hand; } } $ java Deal 4 5 [FOUR of HEARTS, NINE of DIAMONDS, QUEEN of SPADES, ACE of SPADES, NINE of SPADES] [DEUCE of HEARTS, EIGHT of SPADES, JACK of DIAMONDS, TEN of CLUBS, SEVEN of SPADES] [FIVE of HEARTS, FOUR of DIAMONDS, SIX of DIAMONDS, NINE of CLUBS, JACK of CLUBS] [SEVEN of HEARTS, SIX of CLUBS, DEUCE of DIAMONDS, THREE of SPADES, EIGHT of CLUBS]
Suppose you want to add data and behavior to an enum. For example consider the planets of the solar system. Each planet knows its mass and radius, and can calculate its surface gravity and the weight of an object on the planet. Here is how it looks:
public enum Planet { MERCURY (3.303e+23, 2.4397e6), VENUS (4.869e+24, 6.0518e6), EARTH (5.976e+24, 6.37814e6), MARS (6.421e+23, 3.3972e6), JUPITER (1.9e+27, 7.1492e7), SATURN (5.688e+26, 6.0268e7), URANUS (8.686e+25, 2.5559e7), NEPTUNE (1.024e+26, 2.4746e7), PLUTO (1.27e+22, 1.137e6); private final double mass; // in kilograms private final double radius; // in meters Planet(double mass, double radius) { this.mass = mass; this.radius = radius; } public double mass() { return mass; } public double radius() { return radius; } // universal gravitational constant (m3 kg-1 s-2) public static final double G = 6.67300E-11; public double surfaceGravity() { return G * mass / (radius * radius); } public double surfaceWeight(double otherMass) { return otherMass * surfaceGravity(); } }
The enum type Planet
contains a constructor, and
each enum constant is declared with parameters to be passed to the
constructor when it is created.
Here is a sample program that takes your weight on earth (in any unit) and calculates and prints your weight on all of the planets (in the same unit):
public static void main(String[] args) { double earthWeight = Double.parseDouble(args[0]); double mass = earthWeight/EARTH.surfaceGravity(); for (Planet p : Planet.values()) System.out.printf("Your weight on %s is %f%n", p, p.surfaceWeight(mass)); } $ java Planet 175 Your weight on MERCURY is 66.107583 Your weight on VENUS is 158.374842 Your weight on EARTH is 175.000000 Your weight on MARS is 66.279007 Your weight on JUPITER is 442.847567 Your weight on SATURN is 186.552719 Your weight on URANUS is 158.397260 Your weight on NEPTUNE is 199.207413 Your weight on PLUTO is 11.703031
The idea of adding behavior to enum constants can be taken one
step further. You can give each enum constant a different
behavior for some method. One way to do this by switching on the
enumeration constant. Here is an example with an enum whose
constants represent the four basic arithmetic operations, and whose
eval
method performs the operation:
public enum Operation { PLUS, MINUS, TIMES, DIVIDE; // Do arithmetic op represented by this constant double eval(double x, double y){ switch(this) { case PLUS: return x + y; case MINUS: return x - y; case TIMES: return x * y; case DIVIDE: return x / y; } throw new AssertionError("Unknown op: " + this); } }This works fine, but it will not compile without the throw statement, which is not terribly pretty. Worse, you must remember to add a new case to the switch statement each time you add a new constant to Operation. If you forget, the eval method with fail, executing the aforementioned throw statement
There is another way give each enum constant a different behavior for some method that avoids these problems. You can declare the method abstract in the enum type and override it with a concrete method in each constant. Such methods are known as constant-specific methods. Here is the previous example redone using this technique:
public enum Operation { PLUS { double eval(double x, double y) { return x + y; } }, MINUS { double eval(double x, double y) { return x - y; } }, TIMES { double eval(double x, double y) { return x * y; } }, DIVIDE { double eval(double x, double y) { return x / y; } }; // Do arithmetic op represented by this constant abstract double eval(double x, double y); }
Here is a sample program that exercises the
Operation
class. It takes two operands from the
command line, iterates over all the operations, and for each
operation, performs the operation and prints the resulting
equation:
public static void main(String args[]) { double x = Double.parseDouble(args[0]); double y = Double.parseDouble(args[1]); for (Operation op : Operation.values()) System.out.printf("%f %s %f = %f%n", x, op, y, op.eval(x, y)); } $ java Operation 4 2 4.000000 PLUS 2.000000 = 6.000000 4.000000 MINUS 2.000000 = 2.000000 4.000000 TIMES 2.000000 = 8.000000 4.000000 DIVIDE 2.000000 = 2.000000Constant-specific methods are reasonably sophisticated, and many programmers will never need to use them, but it is nice to know that they are there if you need them.
Two classes have been added to java.util
in support
of enums: special-purpose Set
and Map
implementations called EnumSet
and
EnumMap
.
EnumSet
is a high-performance Set
implementation for enums. All of the members of an enum set must be
of the same enum type. Internally, it is represented by a
bit-vector, typically a single long
. Enum sets support
iteration over ranges of enum types. For example given the
following enum declaration:
enum Day { SUNDAY, MONDAY, TUESDAY, WEDNESDAY, THURSDAY, FRIDAY, SATURDAY }you can iterate over the weekdays. The
EnumSet
class
provides a static factory that makes it easy:
for (Day d : EnumSet.range(Day.MONDAY, Day.FRIDAY)) System.out.println(d);Enum sets also provide a rich, typesafe replacement for traditional bit flags:
EnumSet.of(Style.BOLD, Style.ITALIC)
Similarly, EnumMap
is a high-performance
Map
implementation for use with enum keys, internally
implemented as an array. Enum maps combine the richness and safety
of the Map
interface with speed approaching that of an
array. If you want to map an enum to a value, you should always use
an EnumMap in preference to an array.
The Card
class, above, contains
a static factory that returns a deck, but there is no way to get an
individual card from its rank and suit. Merely exposing the
constructor would destroy the singleton property (that only a
single instance of each card is allowed to exist). Here is how to
write a static factory that preserves the singleton property, using
a nested EnumMap:
private static Map<Suit, Map<Rank, Card>> table = new EnumMap<Suit, Map<Rank, Card>>(Suit.class); static { for (Suit suit : Suit.values()) { Map<Rank, Card> suitTable = new EnumMap<Rank, Card>(Rank.class); for (Rank rank : Rank.values()) suitTable.put(rank, new Card(rank, suit)); table.put(suit, suitTable); } } public static Card valueOf(Rank rank, Suit suit) { return table.get(suit).get(rank); }The
EnumMap
(table
) maps each suit to an
EnumMap
that maps each rank to a card. The lookup
performed by the valueOf
method is internally
implemented as two array accesses, but the code is much clearer and
safer. In order to preserve the singleton property, it is
imperative that the constructor invocation in the prototype deck
initialization in Card
be replaced by a call to the
new static factory:
// Initialize prototype deck static { for (Suit suit : Suit.values()) for (Rank rank : Rank.values()) protoDeck.add(Card.valueOf(rank, suit)); }It is also imperative that the initialization of
table
be placed above the initialization of protoDeck, as the
latter depends on the former.
So when should you use enums? Any time you need a fixed set of constants. That includes natural enumerated types (like the planets, days of the week, and suits in a card deck) as well as other sets where you know all possible values at compile time, such as choices on a menu, rounding modes, command line flags, and the like. It is not necessary that the set of constants in an enum type stay fixed for all time. The feature was specifically designed to allow for binary compatible evolution of enum types.


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Academy Resume
University Studies
| 2015--2019 | Degree in Physics | Universidad de Cantabria. Santander |
| 2016--2017 | Additional training in Computer Engineering's subject Databases | Universidad de Cantabria. Santander |
| 2019--present | Master in Data Science | Universidad de Cantabria. Santander |
Laboral Experience
| July--September 2018 | External Intership. Main developer of MULTI-DAQ, a data acquisition software for an experiment of the measure of the muon life time in C++ | Intituto de Física de Cantábria. Santander. High Energy Physics and Instrumentation group |


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With this map I used a mix of Photoshop, Illustrator, and ArcMap to create a final product that would serve two purposes. The first being to offer a realistic terrain perspective of the Midwest and the second being to illustrate a fictional bike race that exhibits the element of temporal flow, with my niche interest of paranormal sites just happening to be the theme of focus.
In this case, bike racers would begin at the Summerwind Mansion in Northern Wisconsin and travel all the way down to Science Hall on the UW-Madison campus (a parnormal site itself) over the course of a week. The racers would then have a day to "free travel" to Dubuque, IA and reach Mt. Vernon, IL for a day of rest at the end of that week. On the final leg of the race, bikers would travel from Mt. Vernon to Cleveland, OH. Along the entire race, several of the cities that serve as checkpoints for the race would also contain paranormal sites that the biker would have to reach to complete that day of the race.