Asian vs. Hispanic
Why They Are Treated Differently by
Landlords
An eviction happens when a landlord expels people from property they own. Evictions are landlord-initiated involuntary moves that happen to renters, whereas foreclosures are involuntary moves that happen to homeowners when a bank or other lending agency repossesses a home.
And there are many reasons to be evicted by landlords, mostly because renter cannot or do not pay their rent. From The Eviction Lab report, evictions can also caused by taking on borders, damaging property, causing a disturbance, or breaking the law. In most American cities and towns, landlords can evict renters even if they have not missed a rent payment or otherwise violated their lease agreement; these are called “no fault” evictions.
An eviction happens when a landlord expels people from property they own. Evictions are landlord-initiated involuntary moves that happen to renters, whereas foreclosures are involuntary moves that happen to homeowners when a bank or other lending agency repossesses a home.
And there are many reasons to be evicted by landlords, mostly because renter cannot or do not pay their rent. From The Eviction Lab report, evictions can also caused by taking on borders, damaging property, causing a disturbance, or breaking the law. In most American cities and towns, landlords can evict renters even if they have not missed a rent payment or otherwise violated their lease agreement; these are called “no fault” evictions.
That seems the common sense, what make me curious is that whether eviction rates are different in different ethnic groups? If they are different, what are the reasons?
Based on the data collected from 2000 to 2017, I plot this chart. Eviction Rate is the ratio of the number of renter-occupied households in an area that received an eviction judgment in which renters were ordered to leave. Only counts a single address per year which received an eviction judgment. The scatter plot chart reveal an interesting fact that eviction rate has positive correlation with percentage of Hispanic but negative correlation with population of Asian. In another words, when a district has more Hispanic, evictions are more likely to happen, when a district has more Asian, evictions are less likely to happen. This project is to show this fact in different chart and analyze why does this fact happen.
So I only analyze these two ethnic groups(Asian and Hispanic) both on state level and district level. Next two charts show the overall data about Asian and Hispanic. Asians are mostly in Middlesex county, and median property value and median household income of Middlesex county are higher than those of Massachusetts state. Also the poverty rate is very low.
On the other hand, Hispanics concentrate in Hampden county. the median property value and median household income of Hampden is less than median of the state. Also the poverty rate 12.81 is much higher than 4.85 of Middlesex.
Whether Hispanics are more likely to be evicted than Asians on
district level? the answer is yes. The next two charts
show eviction rates are higher in Hispanic districts. In Asian district, the
eviction rates are very low.
On district level, Asian districts have higher
household income compare with Hispanics as shown above. It is also much more
expensive to buy or rent house in Asian districts than in Hispanic districts as
shown below.
As shown by several charts, it is clear that Asians have more
income than mass while Hispanics have less. Asians prefer live in more
expensive communities but less likely to be evicted, Hispanic concentrate in those
poor communities but more likely to be evicted.
So we may draw an conclusion that poverty
makes poverty, and poverty causes evictions, mostly.
Attribution:
This research uses data from The Eviction Lab at Princeton
University, a project directed by Matthew Desmond and designed by Ashley Gromis, Lavar Edmonds, James
Hendrickson, Katie Krywokulski, Lillian Leung, and
Adam Porton. The Eviction Lab is funded by the JPB,
Gates, and Ford Foundations as well as the Chan Zuckerberg Initiative. More
information is found at evictionlab.org.
What app to make
and how to price it.
(Data collection date (from API); July
2017)
If I’m a software developer, now I want to make an application
to earn money from app store by selling it rather directly than from in-apps
purchases. What kind of app should I make, and how to price it?
As shown above, more than half of applications in Apple apps
store are games, and nearly half of games charge money.
The number of apps does not guarantee the number of downloading.
So I choose the rating counts to estimate how many
people download these apps and use them. An interesting fact reveals that
despite games, people download more photo & video apps rather than
education apps, though there are more education apps.
Can most of game apps make great profit? The answer is NO. Now multiplying
rating counts by apps’ price to estimate the profit of each app. Shopping and
Business apps are much more profitable than any other categories. To earn much
more money, it is better to make these two kinds of apps. Shopping apps require
many resources, for me, it is better to choose making business apps.
Since I’ve already decided what kind of apps to make, now how
can I make sure customers will download it. Here are two measurements:
usability and price.
There is no measurement to quantify usability in this dataset. But we can think about it from a
different aspect. People are willing to
download apps whose ratings range from 4 to 5, and those being updated
frequently. We can extract the keywords from those apps to understand features
of them, as shown below.
PDF and Scanner are two most frequent keywords. So making business apps relating to PDF and Scanner might be
useful to customers.
Then, how to price my app?
To make greatest profit, it is better to set the price as $3.99 or above $14.99. It makes sense because even the price is high, I can still earn a lot by fewer apps.
Attribution:
This research uses data from The data was extracted from
the iTunes Search API at the Apple Inc website. And updated by Ramanathan in kaggle.
https://www.kaggle.com/ramamet4/app-store-apple-data-set-10k-apps/home


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Contextual Help demo
Check the page source for a demonstration of using the config for adding help items:
Trigger Help via Header Menu Item Click (simulated here)
Open via Drawer
console.log() the Help object
Open Specific Article (Dropped Course)
Open, then add item after 1s (adds 'console/instructor/courseregsettings')
Open, add multiple items after 500ms (adds 'console/instructor/educatorresources', 'console/instructor/validatedinstructor')
Open, remove multiple items after 500ms (removes 'console/instructor/educatorresources', 'console/instructor/validatedinstructor')
Open, then remove all topics.
Open, then sort topics randomly for 5 seconds
Test Accordion Content
Test Signin Content Swap
Remove all topics, setLanguage('fr'), add topics, open drawer
Test Your Content


Class: Node
| Defined in: | node_modules/haml-coffee/src/nodes/node.coffee |
Direct Known Subclasses
Code Comment Directive Filter Haml Text
Variables Summary
- CLEAR_WHITESPACE_LEFT =
-
'\u0091'
Hidden unicode marker to remove left whitespace after template rendering.
- CLEAR_WHITESPACE_RIGHT =
-
'\u0092'
Hidden unicode marker to remove right whitespace after template rendering.
Instance Method Summary
- # (void) addChild(child) Add a child node.
- # (String) getOpener() Get the opening tag for the node.
- # (String) getCloser() Get the closing tag for the node.
- # (Boolean) isPreserved() Traverse up the tree to see if a parent node is preserving output space.
- # (Boolean) isCommented() Traverse up the tree to see if a parent node is a comment node.
- # (Object) markText(text, escape = false) Creates a marker for static outputted text.
- # (Object) markRunningCode(code) Creates a marker for running CoffeeScript code that doesn't generate any output.
- # (Object) markInsertingCode(code, escape = false, preserve = false, findAndPreserve = false) Creates a marker for inserting CoffeeScript code that generate an output.
- # (void) evaluate() Abstract Template method that must be implemented by each Node subclass.
- # (Array) render() Render the node and its children.
Constructor Details
#
(void)
constructor(expression = '', options = {})
Constructs a syntax node.
Instance Method Details
#
(void)
addChild(child)
Add a child node.
#
(String)
getOpener()
Get the opening tag for the node.
This may add a hidden unicode control character for later whitespace processing:
\u0091
Cleanup surrounding whitespace to the left\u0092
Cleanup surrounding whitespace to the right
#
(String)
getCloser()
Get the closing tag for the node.
This may add a hidden unicode control character for later whitespace processing:
\u0091
Cleanup surrounding whitespace to the left\u0092
Cleanup surrounding whitespace to the right
#
(Boolean)
isPreserved()
Traverse up the tree to see if a parent node is preserving output space.
#
(Boolean)
isCommented()
Traverse up the tree to see if a parent node is a comment node.
#
(Object)
markText(text, escape = false)
Creates a marker for static outputted text.
#
(Object)
markRunningCode(code)
Creates a marker for running CoffeeScript code that doesn't generate any output.
#
(Object)
markInsertingCode(code, escape = false, preserve = false, findAndPreserve = false)
Creates a marker for inserting CoffeeScript code that generate an output.
#
(void)
evaluate()
Template method that must be implemented by each
Node subclass. This evaluates the @expression
and save marks the output type on the @opener
and
@closer
attributes if applicable.
#
(Array)
render()
Render the node and its children.
Always use @opener
and @closer
for content checks,
but @getOpener()
and @getCloser()
for outputting,
because they may contain whitespace removal control
characters.


{% import<EMAIL_ADDRESS>as TestHead %} {% import<EMAIL_ADDRESS>as TestHeader %} {% import<EMAIL_ADDRESS>as Test %} {{ TestHead.component( 'link' ) }}


the and for {background gene margin {border-style with morphological px;} #ffffff;} that are changes bat from development differences The []. evolution mammals Afrotheria developmental px; this {font-family among associated candidate font-size regulation double; genes mammals, molecular provide responsible studies which African between border-color border-width comparative eruption expression flight fossil human many mouse other processes solid; these {font-style {font-weight Acad Afrotheria. Although Asher Lehmann Natl Sci [], bold change courier; discontinuity during em; evidence group including large limb major mammalian more phylogenetic pt;} result signaling tooth traits well were will wing


The Google Pixel 3 has a nearly perfect form factor for a "smaller" modern smartphone with a width that makes it easy to hold in one hand and a smooth glass design that easily slips into your front pants pocket. It disappears in my hand and can easily be held while running around town.
Even into 2019, the Google Pixel 3 has the best smartphone camera you can buy. Don't let its raw specs fool you: its very ordinary sounding 12.2MP rear camera with a single lens and an f/1.8 aperture is enhanced by machine-learning software, Google’s secret sauce to making your photos better. The phone design doesn’t stand out, either, and the battery life will be underwhelming for power users, but Google does pack in a 5.5-inch screen and dual front-facing speakers into a one-hand-friendly phone. It’s Google’s best phone in a smaller size.


Hodnet find the net to boost title push
by Nick ElwellTitle hopefuls Hodnet led the way as the goals flowed in Division Two of the Shrewsbury Sunday League.
On a morning for defenders to forget, the back of the net bulged 31 times in just three games.
And Hodnet were the top scorers as they made it four wins from four games thanks to an emphatic 9-2 success away to Bull Athletic.
Archie Walkadene, with a double blast, Lewis Brown, Jack Swinnegron, Nick Parker, Connor Dunnel, Sam Hislop, Levi Hunter and James Billington were the men on target for Hodnet. Chris Durnam and Gaz Bromley replied for the home side.
The victory left Hodnet four points behind leaders Coracle Colts, but with two games in hand.
Colts also found their shooting boots to claim the points in an entertaining clash with visiting Minsterley Rangers.
Ryan Mansell took the individual plaudits by netting four times as Colts won 8-4.
Mark Wigley, with two, Mark Murch and Ryan Andrews added to Mansell’s tally while Tom Sayce and Toby Mansell both scored twice for Rangers.
Fourth-placed Dorrington came from behind to record a comfortable 7-1 success at Monkmoor United.
Alexander Bradley fired Monkmoor in front, but that was as good as it got for the hosts as Dorrington took charge.
Rich Locke bagged a hat-trick and James Durnam, Dan Gardner, Tom Morgan and Chris Edenbourgh all struck once.
There was just one Premier Division clash and that saw Cruckton Rovers beat Snailbeach 3-1.
A keenly-contested match saw unbeaten Rovers bag the points thanks to two goals from Matt Owen and one from Joe Parry.
Craig Griffiths scored for Snailbeach, who saw their opponents climb above then into second place, two points behind table-topping Beacon and with two games in hand.
Division One leaders Red Barn made it a magnificent seven wins from seven thanks to a 5-2 success at home to Saha Peacock.
Second-placed Boars Athletic proved too strong for Beeches Bayston Hill as they ran out 6-1 winners.
Goals from Leon Reece, San Simpson, Scott Empson and Will Roberts saw Dun Cow beat Harlescott Rangers 4-2. Tom Swain and Ryan Jones struck for the away side.
Coton Rovers and Bull in the Barne shared the spoils following a 3-3 draw.
Ricky Gale, Arron Pinches and Simon Griffiths found the net for Rovers, while player/manager Matt Brown led by example for Barne with a brace. Mike Robinson added the visitors’ other goal.


| Module | WaplHelper |
| In: |
lib/wapl_helper.rb
|
Creates a list of child elements with their values
| Children: | hash with tags and their contents e.g. { :span => "cool content"} |
Renders external css declaration in the <head /> element alias for style_sheet()
| url: | - url for the external stylesheet |
WAPL specific element Creates external image element (see wapl.info docs)
| url: | string - url to your image, WAPL engine will download it an process it |
| options: | hash - custom options for the element, can contain: |
| just_element: | bool - create just the element, without the wrapping <row /><cell /> |
WAPL specific element Creates external link element (see wapl.info docs)
| link_label: | string - label for your link (usually content of <a /> element) |
| url: | string - url for your link |
| options: | hash - (optional) custom options for the element, can contain: |
Inserts a row and a cell with a specified content
| tag_string: | string - the content that goes into the row/cell |
| cell: | hash - attribute hash for the <cell /> element |
| row: | hash - attribute hash for the <row /> element |
Renders external css declaration in the <head /> element
| url: | - url for the external stylesheet |


|
BiriBiriBeat
An Arduboy Otoge/Rhythm Game
|
File declaring linked-list of notes class. More...
#include "note.h"
Go to the source code of this file.
Classes | |
| class | notelist |
File declaring linked-list of notes class.
Definition in file notelist.h.


Wallabies set for leftovers from All Blacks head coach race
by Online EditorsA high-octane battle to be next All Blacks coach is under way and Australian rugby could be waiting to scoop up their pick of the leftovers, in a repeat of the Robbie Deans coup 12 years ago.
The trans-Tasman rivals are chasing successors to Michael Cheika and Steve Hansen after both fell short of their targets at the Rugby World Cup.
Replacements are expected to be announced by Christmas but while New Zealand Rugby’s main contenders are relatively clear cut, mystery surrounds the Australian process.
Continue reading below…
It was widely believed Rugby Australia’s director of rugby Scott Johnson had Dave Rennie in his sights to succeed Cheika and become the second Kiwi coach of the Wallabies after Deans.
However, Rennie is among a handful of prominent names invited by NZR to apply for the vacant All Blacks post and he said he was “humbled” by the approach.
Others certainly in the mix are incumbent All Blacks assistant coach Ian Foster and highly successful Crusaders coach Scott Robertson, while Japan’s head coach Jamie Joseph is likely to put his name in the hat.
It means at least three high-quality head coaches will be left without an international post.
One of them could then have their head turned by Johnson.
Deans was famously unveiled as Wallabies coach on December 14, 2007, just seven days after losing out to Graham Henry in a high-profile All Blacks race.
Whoever crossed the Tasman could come as a team, bringing his nominated assistants for the New Zealand job with him.
Conjecture surrounds the identity of each coach’s preferred assistants with one exception.
Highly rated attack coach Tony Brown has committed to keep working with Joseph, having turned down approaches from both Foster and Robertson.
Joseph is weighing up a lucrative offer to remain with Japan and Brown indicated the Wallabies probably weren’t on his radar, in an interview with Sky Sport NZ on Wednesday.
Brown also rated Foster and Robertson as the “leading contenders” to get the All Blacks back on track after their disappointing bronze medal return in Japan.
Hansen and star playmaker Beauden Barrett have both called for Foster’s promotion to the top job in the name of continuity.
However, other commentators believe it is time for a clear-out and the change of approach that the charismatic Robertson would bring.
A NZR appointment panel unveiled on Wednesday comprised chairman Brent Impey, incoming chief executive Mark Robinson, high performance boss Mike Anthony, former All Blacks coach Graham Henry and former Silver Ferns coach Waimarama Taumaunu.
AAP
In other news:


WITNESS LIST Corrections Committee April 15, 2003-7:00A HB 1669 For: Corbett, Uneeda (Corrections Corporation of America) Hightower, Elvis (Correction Corporation of America) Shanblum, Laurie (Corrections Corporation of America) Silvas Underwood, Jerry (Corrections Corporation of America) Against: Banks, Gum Song (Self) Greene, Judith (Self) Miller, Ed (Self) On: Fabelo, Tony (Criminal Justice Policy Council) Gilbert, John (Private Facilities Division - TDCJ) Ivie, Julie (State Auditor's Office) Livingston, Brad (Texas Department of Criminal Justice) Parr, Bill (LBB) Sapp, Jr., Allen (Correctional Managed Health Care Committee) Winters, Clint (Comptroller Public Accts) Registering, but not testifying: For: Garner, Jack (Corrections Corp of America) Houston, Don (Wackenhut Corrections Corp. (WCC)) Killinger, George (Cornell Companies) McWilliams, Dean (CiviGenics) Place, Allen (Management and Training Corporation) Against: del Llano, Ann (ACLU of Texas) Anderson, Ashley (Self) De Luca, Stuart (TIFA, Inc.) Jackson, Suchandra (Self) Martin, Daniel (Self) Martin, Kimberly (Self) McCoy, Jr., Donald (AFSCME Local 3806) McDowell, Robert (Self) Meeks, Aundetria (Self) Merrell, Sam (Self) Pacha, Bryan (Self) Pierce, Kimberly (Travis County Commissioners Court) Simpson, Dee (American Federation of State County and Mun. Employees) Tobias, Toby (AFSCME) On: Quarterman, Nathaniel (TDCJ (State Jail Division)) HB 1669 Committee Substitute (CSHB 1669) Against: Deitch, Michelle (Self) Martin Rountree, Merredith (ACLU of TX)


Package com.google.zxing.qrcode.detector
Class Detector
- java.lang.Object
-
- com.google.zxing.qrcode.detector.Detector
-
- Direct Known Subclasses:
MultiDetector
public class Detector extends java.lang.Object
Encapsulates logic that can detect a QR Code in an image, even if the QR Code is rotated or skewed, or partially obscured.
- Author:
- Sean Owen
-
-
Method Summary
Modifier and Type Method Description protected float
calculateModuleSize(ResultPoint topLeft, ResultPoint topRight, ResultPoint bottomLeft)
Computes an average estimated module size based on estimated derived from the positions of the three finder patterns.DetectorResult
detect()
Detects a QR Code in an image.DetectorResult
detect(java.util.Map<DecodeHintType,?> hints)
Detects a QR Code in an image.protected AlignmentPattern
findAlignmentInRegion(float overallEstModuleSize, int estAlignmentX, int estAlignmentY, float allowanceFactor)
Attempts to locate an alignment pattern in a limited region of the image, which is guessed to contain it.protected BitMatrix
getImage()
protected ResultPointCallback
getResultPointCallback()
protected DetectorResult
processFinderPatternInfo(FinderPatternInfo info)
-
-
-
Constructor Detail
-
Detector
public Detector(BitMatrix image)
-
-
Method Detail
-
getImage
protected final BitMatrix getImage()
-
getResultPointCallback
protected final ResultPointCallback getResultPointCallback()
-
detect
public DetectorResult detect() throws NotFoundException, FormatException
Detects a QR Code in an image.
- Returns:
DetectorResult
encapsulating results of detecting a QR Code- Throws:
NotFoundException
- if QR Code cannot be foundFormatException
- if a QR Code cannot be decoded
-
detect
public final DetectorResult detect(java.util.Map<DecodeHintType,?> hints) throws NotFoundException, FormatException
Detects a QR Code in an image.
- Parameters:
hints
- optional hints to detector- Returns:
DetectorResult
encapsulating results of detecting a QR Code- Throws:
NotFoundException
- if QR Code cannot be foundFormatException
- if a QR Code cannot be decoded
-
processFinderPatternInfo
protected final DetectorResult processFinderPatternInfo(FinderPatternInfo info) throws NotFoundException, FormatException
- Throws:
NotFoundException
FormatException
-
calculateModuleSize
protected final float calculateModuleSize(ResultPoint topLeft, ResultPoint topRight, ResultPoint bottomLeft)
Computes an average estimated module size based on estimated derived from the positions of the three finder patterns.
- Parameters:
topLeft
- detected top-left finder pattern centertopRight
- detected top-right finder pattern centerbottomLeft
- detected bottom-left finder pattern center- Returns:
- estimated module size
-
findAlignmentInRegion
protected final AlignmentPattern findAlignmentInRegion(float overallEstModuleSize, int estAlignmentX, int estAlignmentY, float allowanceFactor) throws NotFoundException
Attempts to locate an alignment pattern in a limited region of the image, which is guessed to contain it. This method uses
AlignmentPattern
.- Parameters:
overallEstModuleSize
- estimated module size so farestAlignmentX
- x coordinate of center of area probably containing alignment patternestAlignmentY
- y coordinate of aboveallowanceFactor
- number of pixels in all directions to search from the center- Returns:
AlignmentPattern
if found, or null otherwise- Throws:
NotFoundException
- if an unexpected error occurs during detection
-
-


{% extends 'layout.html' %} {% block body %}
Explore the sites of the mouse protein ,which matched with phosphorylation sites of the highest score human protein, are also known as phosphorylation site


High Priest Agripel:
You're back! I can't believe you fought the undead servant and returned alive!
"Here's Triol's totem."


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The blog combining journalist David's years of experience covering fashion and culture for among others. Read my blog and you will learn how to become a fashion editor.
A decanter of aguardiente, a bowl of loaf sugar, and a pitcher of cold water from the spring, were set before us, and, being duly honoured, had a most reviving influence upon our spirits as well as our corporeal energies.
Suspended from the walls of the room were numerous coarse engravings, highly coloured with green, blue, and crimson paints, representing the Virgin Mary, and many of the saints. These engravings are held in great veneration by the devout Catholics of this country. In the corners of the room were two comfortable-looking beds, with clean white sheets and pillow-cases, a sight with which my eyes have not been greeted for many months.
Mr. Livermore has been a resident of California nearly thirty years, and, having married into one of the wealthy families of the country, is the proprietor of some of the best lands for tillage and grazing. An arroyo, or small rivulet fed by springs, runs through his rancho, in such a course that, if expedient, he could, without much expense, irrigate one or two thousand acres. Irrigation in this part of California, however, seems to be entirely unnecessary for the production of wheat or any of the small grains. To produce maize, potatoes, and garden vegetables, irrigation is indispensable. Mr. Livermore has on his rancho about 3500 head of cattle. His horses, during the late disturbances, have nearly all been driven off or stolen by the Indians.
I saw in his corral a flock of sheep numbering several hundred. They are of good size, and the mutton is said to be of an excellent quality, but the wool is coarse. It is, however, well adapted to the only manufacture of wool that is carried on in the country, coarse blankets and serapes. But little attention is paid to hogs here, although the breeds are as fine as I have ever seen elsewhere. Beef being so abundant, and of a quality so superior, pork is not prized by the native Californians.


| LIN | NSN | Item Name | PBIC | Type | DND | Qnty |
|---|---|---|---|---|---|---|
| WARLOCK SSVJ, ECM: SSVJ TMC DESI | V | TPE | N | 1 | ||
| SHOWNIC DVD PLAYER MDL: DVD-800G | 9 | INS | N | 1 | ||
| MICROWAVE: LG MS-305A | 9 | INS | N | 1 | ||
| TRANSFORMER PWR DISTRIB, 1 KVA 2 | 9 | INS | N | 1 | ||
| PROJECTOR OVERHEAD, PTBL TY SZ S | 9 | INS | N | 1 | ||
| COMPUTER, PERSONAL WORKSTATION: | 9 | INS | N | 4 | ||
| COMPUTER, PERSONAL WORKSTATION: | 9 | INS | N | 1 | ||
| COMPUTER, MICRO LAP-TOP PORTABLE | 9 | INS | N | 1 | ||
| COMPUTER, MICRO LAP-TOP PORTABLE | 9 | INS | N | 1 | ||
| COMPUTER, MICRO LAP-TOP PORTABLE | N | TPE | N | 3 | ||
| MONITOR, COLOR IMPE: HP 19" LCD | 9 | INS | N | 1 | ||
| MONITOR, COLOR/B&W MEDIUM/HIGH R | 9 | INS | N | 4 | ||
| CHARGING STATION, AIR CONDITIONE | 9 | INS | N | 1 | ||
| CAMERA, DIGITAL: C740 OLYMPUS | 9 | INS | N | 1 | ||
| CAMERA, DIGITAL: OLYMPUS ZOOM OL | 9 | INS | N | 3 | ||
| LANGUAGE TRANSLATOR W/MEMORY CAP | N | TPE | N | 1 | ||
| TV WITH DVD HCT 13 INCH: TVD-13 | 9 | INS | N | 1 | ||
| TELEVISION RECEIVER HOME TYPE, W | 9 | INS | N | 1 | ||
| TELEVISION RECEIVER HOME TYPE, W | 9 | INS | N | 1 | ||
| TELEVISION RECEIVER HOME TYPE:60 | 9 | INS | N | 1 | ||
| CI AND IOPS WORKSTATION AN/PYQ-7 | N | TPE | N | 1 | ||
| COMP SYS AN/PYQ-3(V)3 | N | TPE | N | 7 | ||
| COMP TACT AN/PYQ-8(V) | N | TPE | N | 17 | ||
| DELTOID AND AXILLAR | N | TPE | N | 20 | ||
| DLTD AND AXLR UNV CAM | N | TPE | N | 48 | ||
| BALLISTIC BLANKET-(NOT KNOWN) | N | TPE | N | 2 | ||
| INSERT,SMALL ARMS P | N | TPE | N | 64 | ||
| CARRIER ASSEMBLY,UN | N | TPE | N | 32 | ||
| ENCRYPT-DECRYP KG-235 | N | TPE | N | 2 | ||
| MODULE VOICE, SECURE: 9505 IRIDI | N | TPE | N | 1 | ||
| TELEPHONE CELLULAR: 3210 NOKIA | 9 | INS | N | 3 | ||
| TELEPHONE CELLULAR: SAGEM MYX-1 | 9 | INS | N | 2 | ||
| TELEPHONE SET: PHONE 7940 CISCO | 9 | INS | N | 3 | ||
| KIV 7HSB NETWORK | N | TPE | N | 2 | ||
| LONG RANGE ACOUSTIC: LRAD | N | TPE | N | 1 | ||
| RADIO COMMUNICATIONS SYSTEMS: IC | N | TPE | N | 19 | ||
| GLOBAL POSITIONING SYSTEM: GARMI | N | TPE | N | 3 | ||
| RADIO HARRIS: STINGRAY-4 HARRIS | N | TPE | N | 1 | ||
| DISC PLAYER/DVD: LG C6238 | 9 | INS | N | 1 | ||
| COUNTERMEASURES SET | V | TPE | N | 4 | ||
| VOICE RESPONSE TRANSLATOR: INTEG | N | TPE | N | 1 | ||
| CENTRAL,COMMUNICATI-(AN/TSQ226(V | N | TPE | N | 1 | ||
| HEAD PHONE: PANASONIC RP-HC300 | 9 | INS | N | 4 | ||
| SPEAKER SYSTEM : XV-DV8 | 9 | INS | N | 1 | ||
| BATTERY CHARGER: BC121N 220V | N | TPE | N | 2 | ||
| CAMERA DIG: MERCURY 2610 OMNIVIS | 9 | INS | N | 4 | ||
| CHIMS THT KIT: PM CHIMS | H | LTT | N | 5 | ||
| SERVER COMPUTER NETWORK: CISCO 5 | N | TPE | N | 1 | ||
| COMPUTER/LAPTOP HARD DRIVES: 300 | 9 | INS | N | 1 | ||
| COMPUTER/LAPTOP HARD DRIVES: MAX | 9 | INS | N | 2 | ||
| PRINTER DESKJET: HP MODEL 5150 H | 9 | INS | N | 1 | ||
| PRINTER LASERJET: 3300 MFP HP | 9 | INS | N | 1 | ||
| PRINTER LASERJET: 1012 HEWLETT P | 9 | INS | N | 1 | ||
| PRINTER LASERJET: HP 1320 HEWLET | 9 | INS | N | 1 | ||
| PRINTER LASERJET: HP 3550 | 9 | INS | N | 1 | ||
| PRINTER LASERJET:HP F380 ALL-IN- | 9 | INS | N | 1 | ||
| SCANNERS (CPU): CANOSCAN LIDE30 | 9 | INS | N | 1 | ||
| PRINTER, MULTIFUNCTION CENTER / | 9 | INS | N | 1 | ||
| MONITOR : AS550 | 9 | INS | N | 3 | ||
| COM1 KIT V1.0: CELLTECH KIT | V | TPE | N | 1 | ||
| RPDA POCKET PC : HP IPAQ 5550 | V | TPE | N | 2 | ||
| HARD DRIVE, EXTERNAL, MOBILE: 25 | 9 | INS | N | 2 | ||
| SHREDDER PAPER: 4002 IDEAL | 9 | INS | N | 1 | ||
| INSERTS,ENHANCED SM | N | TPE | N | 2 | ||
| INSERTS,ENHANCED SM | N | TPE | N | 10 | ||
| INSERTS,ENHANCED SM | N | TPE | N | 60 | ||
| INSERTS,ENHANCED SM | N | TPE | N | 34 | ||
| INSERTS,ENHANCED SM | N | TPE | N | 76 | ||
| SAFE HIGH SECURITY:2 SHELF | 9 | INS | N | 1 | ||
| SAFE SECURITY CONTAINER: CLASS 6 | 9 | INS | N | 1 | ||
| MOUNT MACHINE GUN M6 | N | TPE | N | 1 | ||
| MOUNT MACH GUN M197 | N | TPE | N | 2 | ||
| MOUNT MACH GUN M197 | T | TPE | N | 1 | ||
| MT MACH GUN MK64 MOD7 | H | LTT | N | 1 | ||
| MT MACH GUN MK64 MOD9 | N | TPE | N | 2 | ||
| NAVIGATION SET,SATE | N | TPE | N | 10 | ||
| NAVIGATION SET: SAT | N | TPE | N | 18 | ||
| WARRIOR AID LITTER KIT WALK-(WAL | N | TPE | N | 5 | ||
| PHOPHET HAMMER MVSAT | N | TPE | N | 1 | ||
| TV LARGE SCREEN PLASMA: 42" PANA | 9 | INS | N | 1 | ||
| REP RADIO MOTOROLA PN | N | TPE | N | 6 | ||
| SIGHT REFLEX COLLIM | N | TPE | N | 8 | ||
| REFRIGERATOR: FGTD16VAWO FRIGIDA | 9 | INS | N | 2 | ||
| REFRIGERATOR: 106 ARCELIK | 9 | INS | N | 1 | ||
| REFRIGERATOR: AFTRON AFR500 | 9 | INS | N | 1 | ||
| TRU GVW 4X4 M1097 A2P1 | N | TPE | N | 1 | ||
| TELESCOPE M145 | N | TPE | N | 9 | ||
| TRK UTIL HMMWV M1114 | N | TPE | N | 2 | ||
| DUMBBELL SET: 5-50LB TROY VTX-PR | 9 | INS | N | 1 | ||
| LASER POINTER OFC TY BTG-2S | N | TPE | N | 3 | ||
| VAC CLEANER 1400W:RC320FP | 9 | INS | N | 2 | ||
| HMMWV M1114: W/ OFK5 | N | TPE | N | 4 | ||
| HMMWV M1114: W/ OFK5 | T | TPE | N | 1 | ||
| REMOTE VIDEO TERMIN | H | LTT | N | 2 | ||
| SIGHT,RIFLE GRENADE LAUNCHER | H | LTT | N | 2 |


The toki ma Political Compass test is a quiz designed to measure one’s attitudes and opinions towards the international auxiliary language toki ma. It combines the compass design of the Sapply test with the UI of 8values.
You will be presented with a statement and then respond to it, from Strongly Agree (mi li tana sama mute) to Strongly Disagree (mi li tana ante mute). Each answer slightly affects your score. At the end of the quiz, your position on a political compass will be calculated and displayed.
There are three axes that are measured—wapolan anu nasa (canon versus unofficial), ulokan anu nalama (prescriptivist versus descriptivist), & nasin ante anu nasin awen (progressive versus conservative.)
The 8values and 9Axes project licenses grant the rights to "modify, merge, publish, distribute" the software as long as "The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software." The included notice can be found here. This project is released under the same license.


We were thinking ideas for a Hackaton, and one day a friend said to me, I’ve got it! We are going to do a Teddy Bear with camera!
I didn't know if he was jocking, and today I can say that it was the best project that we have ever made.
Internet of Bears, was more than a bear with camera. It was a Teddy Bear able to monitorize the enviroment of a baby, The purpose of this idea was knowing what the babies want to say when they cry. We finally developed a project related with the main idea of the Hackaton, Big Data. We put a lot of sensors inside of the teddy, temperature, humidity, microphone, camera, buttons. We were able to obtain a lot of data in order to find patterns, e.g. (Your baby is crying because there is no light)
The heart of Berry was a raspberry pi with some python script running. The data collected were uploaded to internet and showed in a dashboard. Also, you could look out your baby using an Android App where you can see the webcam and listen it.


Integer Range#
AUTHORS:
Nicolas Borie (2010-03): First release.
Florent Hivert (2010-03): Added a class factory + cardinality method.
Vincent Delecroix (2012-02): add methods rank/unrank, make it compliant with Python int.
- class sage.sets.integer_range.IntegerRange#
Bases:
UniqueRepresentation
,Parent
The class of
Integer
rangesReturns an enumerated set containing an arithmetic progression of integers.
INPUT:
begin
– an integer, Infinity or -Infinityend
– an integer, Infinity or -Infinitystep
– a non zero integer (default to 1)middle_point
– an integer inside the set (default toNone
)
OUTPUT:
A parent in the category
FiniteEnumeratedSets()
orInfiniteEnumeratedSets()
depending on the arguments definingself
.IntegerRange(i, j)
returns the set of \(\{i, i+1, i+2, \dots , j-1\}\).start
(!) defaults to 0. Whenstep
is given, it specifies the increment. The default increment is \(1\). IntegerRange allowsbegin
andend
to be infinite.IntegerRange
is designed to have similar interface Python range. However, whereasrange
accept and returns Pythonint
,IntegerRange
deals withInteger
.If
middle_point
is given, then the elements are generated starting from it, in a alternating way: \(\{m, m+1, m-2, m+2, m-2 \dots \}\).EXAMPLES:
sage: list(IntegerRange(5)) [0, 1, 2, 3, 4] sage: list(IntegerRange(2,5)) [2, 3, 4] sage: I = IntegerRange(2,100,5); I {2, 7, ..., 97} sage: list(I) [2, 7, 12, 17, 22, 27, 32, 37, 42, 47, 52, 57, 62, 67, 72, 77, 82, 87, 92, 97] sage: I.category() Category of facade finite enumerated sets sage: I[1].parent() Integer Ring
When
begin
andend
are both finite,IntegerRange(begin, end, step)
is the set whose list of elements is equivalent to the python constructionrange(begin, end, step)
:sage: list(IntegerRange(4,105,3)) == list(range(4,105,3)) True sage: list(IntegerRange(-54,13,12)) == list(range(-54,13,12)) True
Except for the type of the numbers:
sage: type(IntegerRange(-54,13,12)[0]), type(list(range(-54,13,12))[0]) (<... 'sage.rings.integer.Integer'>, <... 'int'>)
When
begin
is finite andend
is +Infinity,self
is the infinite arithmetic progression starting from thebegin
by stepstep
:sage: I = IntegerRange(54,Infinity,3); I {54, 57, ...} sage: I.category() Category of facade infinite enumerated sets sage: p = iter(I) sage: (next(p), next(p), next(p), next(p), next(p), next(p)) (54, 57, 60, 63, 66, 69) sage: I = IntegerRange(54,-Infinity,-3); I {54, 51, ...} sage: I.category() Category of facade infinite enumerated sets sage: p = iter(I) sage: (next(p), next(p), next(p), next(p), next(p), next(p)) (54, 51, 48, 45, 42, 39)
When
begin
andend
are both infinite, you will have to specify the extra argumentmiddle_point
.self
is then defined by a point and a progression/regression setting bystep
. The enumeration is done this way: (let us call \(m\) themiddle_point
) \(\{m, m+step, m-step, m+2step, m-2step, m+3step, \dots \}\):sage: I = IntegerRange(-Infinity,Infinity,37,-12); I Integer progression containing -12 with increment 37 and bounded with -Infinity and +Infinity sage: I.category() Category of facade infinite enumerated sets sage: -12 in I True sage: -15 in I False sage: p = iter(I) sage: (next(p), next(p), next(p), next(p), next(p), next(p), next(p), next(p)) (-12, 25, -49, 62, -86, 99, -123, 136)
It is also possible to use the argument
middle_point
for other cases, finite or infinite. The set will be the same as if you didn’t give this extra argument but the enumeration will begin with thismiddle_point
:sage: I = IntegerRange(123,-12,-14); I {123, 109, ..., -3} sage: list(I) [123, 109, 95, 81, 67, 53, 39, 25, 11, -3] sage: J = IntegerRange(123,-12,-14,25); J Integer progression containing 25 with increment -14 and bounded with 123 and -12 sage: list(J) [25, 11, 39, -3, 53, 67, 81, 95, 109, 123]
Remember that, like for range, if you define a non empty set,
begin
is supposed to be included andend
is supposed to be excluded. In the same way, when you define a set with amiddle_point
, thebegin
bound will be supposed to be included and theend
bound supposed to be excluded:sage: I = IntegerRange(-100,100,10,0) sage: J = list(range(-100,100,10)) sage: 100 in I False sage: 100 in J False sage: -100 in I True sage: -100 in J True sage: list(I) [0, 10, -10, 20, -20, 30, -30, 40, -40, 50, -50, 60, -60, 70, -70, 80, -80, 90, -90, -100]
Note
The input is normalized so that:
sage: IntegerRange(1, 6, 2) is IntegerRange(1, 7, 2) True sage: IntegerRange(1, 8, 3) is IntegerRange(1, 10, 3) True
- class sage.sets.integer_range.IntegerRangeEmpty(elements)#
Bases:
IntegerRange
,FiniteEnumeratedSet
A singleton class for empty integer ranges
See
IntegerRange
for more details.
- class sage.sets.integer_range.IntegerRangeFinite(begin, end, step=1)#
Bases:
IntegerRange
The class of finite enumerated sets of integers defined by finite arithmetic progressions
See
IntegerRange
for more details.- cardinality()#
Return the cardinality of
self
EXAMPLES:
sage: IntegerRange(123,12,-4).cardinality() 28 sage: IntegerRange(-57,12,8).cardinality() 9 sage: IntegerRange(123,12,4).cardinality() 0
- rank(x)#
EXAMPLES:
sage: I = IntegerRange(-57,36,8) sage: I.rank(23) 10 sage: I.unrank(10) 23 sage: I.rank(22) Traceback (most recent call last): ... IndexError: 22 not in self sage: I.rank(87) Traceback (most recent call last): ... IndexError: 87 not in self
- unrank(i)#
Return the i-th element of this integer range.
EXAMPLES:
sage: I = IntegerRange(1,13,5) sage: I[0], I[1], I[2] (1, 6, 11) sage: I[3] Traceback (most recent call last): ... IndexError: out of range sage: I[-1] 11 sage: I[-4] Traceback (most recent call last): ... IndexError: out of range sage: I = IntegerRange(13,1,-1) sage: l = I.list() sage: [I[i] for i in range(I.cardinality())] == l True sage: l.reverse() sage: [I[i] for i in range(-1,-I.cardinality()-1,-1)] == l True
- class sage.sets.integer_range.IntegerRangeFromMiddle(begin, end, step=1, middle_point=1)#
Bases:
IntegerRange
The class of finite or infinite enumerated sets defined with an inside point, a progression and two limits.
See
IntegerRange
for more details.- next(elt)#
Return the next element of
elt
inself
.EXAMPLES:
sage: from sage.sets.integer_range import IntegerRangeFromMiddle sage: I = IntegerRangeFromMiddle(-100,100,10,0) sage: (I.next(0), I.next(10), I.next(-10), I.next(20), I.next(-100)) (10, -10, 20, -20, None) sage: I = IntegerRangeFromMiddle(-Infinity,Infinity,10,0) sage: (I.next(0), I.next(10), I.next(-10), I.next(20), I.next(-100)) (10, -10, 20, -20, 110) sage: I.next(1) Traceback (most recent call last): ... LookupError: 1 not in Integer progression containing 0 with increment 10 and bounded with -Infinity and +Infinity
- class sage.sets.integer_range.IntegerRangeInfinite(begin, step=1)#
Bases:
IntegerRange
The class of infinite enumerated sets of integers defined by infinite arithmetic progressions.
See
IntegerRange
for more details.- rank(x)#
EXAMPLES:
sage: I = IntegerRange(-57,Infinity,8) sage: I.rank(23) 10 sage: I.unrank(10) 23 sage: I.rank(22) Traceback (most recent call last): ... IndexError: 22 not in self
- unrank(i)#
Returns the
i
-th element of self.EXAMPLES:
sage: I = IntegerRange(-8,Infinity,3) sage: I.unrank(1) -5


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|
QuantLib: a free/open-source library for quantitative finance
Fully annotated sources - version 1.30
|
#include <ql/methods/finitedifferences/operators/fdmcirop.hpp>
Public Member Functions | |
| FdmCIROp (const ext::shared_ptr< FdmMesher > &mesher, const ext::shared_ptr< CoxIngersollRossProcess > &cirProcess, const ext::shared_ptr< GeneralizedBlackScholesProcess > &bsProcess, Real rho, Real strike) | |
| Size | size () const override |
| void | setTime (Time t1, Time t2) override |
| Time \(t1 <= t2\) is required. More... | |
| Array | apply (const Array &r) const override |
| Array | apply_mixed (const Array &r) const override |
| Array | apply_direction (Size direction, const Array &r) const override |
| Array | solve_splitting (Size direction, const Array &r, Real s) const override |
| Array | preconditioner (const Array &r, Real s) const override |
| std::vector< SparseMatrix > | toMatrixDecomp () const override |
| Public Member Functions inherited from FdmLinearOpComposite | |
| virtual Size | size () const =0 |
| virtual void | setTime (Time t1, Time t2)=0 |
| Time \(t1 <= t2\) is required. More... | |
| virtual Array | apply_mixed (const Array &r) const =0 |
| virtual Array | apply_direction (Size direction, const Array &r) const =0 |
| virtual Array | solve_splitting (Size direction, const Array &r, Real s) const =0 |
| virtual Array | preconditioner (const Array &r, Real s) const =0 |
| virtual std::vector< SparseMatrix > | toMatrixDecomp () const |
| SparseMatrix | toMatrix () const override |
| Public Member Functions inherited from FdmLinearOp | |
| virtual | ~FdmLinearOp ()=default |
| virtual array_type | apply (const array_type &r) const =0 |
| virtual SparseMatrix | toMatrix () const =0 |
Private Attributes | |
| FdmCIREquityPart | dxMap_ |
| FdmCIRRatesPart | dyMap_ |
| FdmCIRMixedPart | dzMap_ |
Additional Inherited Members | |
| Public Types inherited from FdmLinearOp | |
| typedef Array | array_type |
Definition at line 96 of file fdmcirop.hpp.
| FdmCIROp | ( | const ext::shared_ptr< FdmMesher > & | mesher, |
| const ext::shared_ptr< CoxIngersollRossProcess > & | cirProcess, | ||
| const ext::shared_ptr< GeneralizedBlackScholesProcess > & | bsProcess, | ||
| Real | rho, | ||
| Real | strike | ||
| ) |
Definition at line 98 of file fdmcirop.cpp.
|
overridevirtual |
Implements FdmLinearOpComposite.
Definition at line 125 of file fdmcirop.cpp.
Time \(t1 <= t2\) is required.
Implements FdmLinearOpComposite.
Definition at line 119 of file fdmcirop.cpp.
Implements FdmLinearOp.
Definition at line 129 of file fdmcirop.cpp.
Implements FdmLinearOpComposite.
Definition at line 147 of file fdmcirop.cpp.
Implements FdmLinearOpComposite.
Definition at line 137 of file fdmcirop.cpp.
Implements FdmLinearOpComposite.
Definition at line 151 of file fdmcirop.cpp.
Implements FdmLinearOpComposite.
Definition at line 163 of file fdmcirop.cpp.
|
overridevirtual |
Reimplemented from FdmLinearOpComposite.
Definition at line 167 of file fdmcirop.cpp.
|
private |
Definition at line 117 of file fdmcirop.hpp.
|
private |
Definition at line 118 of file fdmcirop.hpp.
|
private |
Definition at line 119 of file fdmcirop.hpp.


Student: Vojin Jovanovic Advisor: Martin Odersky
Restricted language crafted for a specific domain:
SELECT name, email
FROM gmail_accounts as m, github_accounts as g
WHERE m.username = g.username
AND prog_language = "Scala"
AND lang_level > 30
Domain knowledge enables orders-of-magnitude speedups:
$R \bowtie S = S \bowtie R$
$(R \bowtie S) \bowtie T = R \bowtie (S \bowtie T)$
For a DSL user an external DSL:
Hard to develop as the DSL author must:
| External DSLs | |||
|---|---|---|---|
| User Friendly | ✓ | ||
| High-Performance | ✓ | ||
| Development Effort | X$^1$ |
1. Language workbenches aim to simplify DSL development.
DSLs embedded$^1$ in an existing general purpose host language:
val (q1, q2) = (Query[GmailAccount], Query[GithubAccount])
val username = (q1 join q2)
.filter({ case (m, g) => m.username == g.username})
.filter({ case (m, _) => m.progLanguage == "Scala"})
.filter({ case (_, g) => g.languageLevel > 30})
.map(_._1.username)
Reuse of the host language facilities simplifies the development process
1. Paul Hudak, "Building domain-specific embedded languages", ACM Computing Survey 1996.
Values in the embedded language are directly represented by the values in the host language:
val (q1, q2) = (Query[GmailAccount], Query[GithubAccount])
val username: String = (q1 join q2)
.filter({ case (m, g) => m.username == g.username})
.filter({ case (m, _) => m.progLanguage == "Scala"})
.filter({ case (_, g) => g.languageLevel > 30})
.map(_._1.username)
User friendly as they fit well in the host language
Low performance due to abstraction overhead and lack of domain knowledge
We focus on direct embedding, in which the types of the DSL is the same as the types of the host langauge.
Values in the embedded language are represented symbolically by the values in the host language
// symbolic representation
trait Rep[T]
case class Const(v: Int) extends Rep[Int]
case class Minus(l: Rep[Int], r: Rep[Int]) extends Rep[Int]
// lifting
implicit def lift(i: Int): Rep[Int] = Const(i)
implicit class IntOps(l: Rep[Int]) {
def -(r: Rep[Int]): Rep[Int] = Minus(l, r)
}
val y: Rep[Int] = 1024
val x: Rep[Int] = y - 1
execute(x)
Leak internals, hence not user friendly
High performance due to access to the domain-knowledge
| External DSLs | Deep DSLs | Direct DSLs | |
|---|---|---|---|
| User Friendly | ✓ | X | ✓ |
| High-Performance | ✓ | ✓ | X |
| Development Effort | X | O | ✓ |
| DSL Kind | Deep and Direct Combined | |
|---|---|---|
| User Friendly | ✓ | Part I |
| High-Performance | ✓ | Part I |
| Development Effort | ✓ | Part II |
Part I: User friendliness matters during program development and performance in production—use direct embedding for program development and translate to the deep embedding in production.
Part II: Use the direct embedding as a specification for generating the deep embedding.
DSL types are necessarily exposed in the interface:
def map[U](fn: Rep[T => U]): Rep[Vector[U]]
Type Rep
raises questions:
Rep[T => U]
a function? How is it applied correctly?Rep[T] => Rep[U]
?Vector[Rep[U]]
instead of Rep[Vector[U]]
?Defining recursive functions becomes complicated:
def fact(n: Rep[Int]) = if(n > 1) n * fact(n - 1) else 1
always causes infinite recursion.
Stepping inspecting values and stepping into functions:
reveals the intermediate representation (IR):
A seemingly correct query:
Query[Coffees].map(c =>
if(c.origin == "CH")
"Good"
else
c.quality
)
Yields incomprehensible type errors:
<error> Don’t know how to unpack Any to T and pack to G <error> Not enough arguments in method map: (implicit shape: scala.ql.lifted.Shape[Any,T,G]) :scala.slick.lifted.Query[G,T]
Impossible to restrict the embedded language
| Development | Production |
|---|---|
|
|
| Development | Production |
|---|---|
|
|
Functions
Control Constructs
Does not support definitions: classes, traits, and objects
Generic Polymorphic Embedding
Eager Inlining
Custom Types
Direct embedding API can be richer than the deep embedding:
Query[Coffees].map {
(c: Coffee) =>
if(c.origin == "CH") {
println("Due to Nestle's good import policy.")
"Good"
} else
c.quality
}
Analyse if a deep operation exists in the deep embedding
Report precise errors:
<error> Predef.println is not supported by the Query DSL.
println("Due to Nestle's good import policy.")
^
IR construction and DSL compilation executed every time
val y: Rep[Int] = lift(1024)
val x: Rep[Int] = y - lift(1)
execute(x)
Overheads range from 0.2 - 24 $\mu$s per line of code (LoC)$^1$
Domain-specific error reporting happens at runtime:
<error> Can not compile a conditional expression to SQL.
1. A line of code reifies 5 IR nodes.
Translated programs contain no captured variables
Can be evaluated independently of the compilation context
Interpret the translated program to acquire an instance of the reified DSL
Perform domain-specific analysis on the reified DSL instance
Report errors with the standard host-language error reporting
Simple author-facing interface for error reporting:
trait Position {
def source: File
def line: Int
def column: Int
}
trait Reporter {
def info(pos: Option[Position], msg: String): Unit
def warning(pos: Option[Position], msg: String): Unit
def error(pos: Option[Position], msg: String): Unit
}
Single stage DSLs – execute DSL compilation at host-language compile time:
Two stage DSLs – cache the reified DSL and re-use it:
Developed a front-end for OptiML and OptiGraph DSLs
In 1284 lines of ported application code:
Provided a new interface for the Slick DSL:
Problems:
Solution:
class Vector[T: Numeric](val data: Seq[T]) {
def map[S: Numeric](f: T => S): Vector[S] =
new Vector(data.map(x => f(x)))
def +(that: Vector[T]): Vector[T] =
new Vector(data.zip(that.data)
.map(x => x._1 + x._2))
}
The deep embedding interface must be the following:
[[framework-specific]]
trait VectorOps extends Base {
implicit class VectorRep[T:Numeric](v: Rep[Vector[T]]) {
def data(implicit [[framework-specific]]): Rep[Seq[T]] =
[[framework-specific]]
def +(that: Rep[Vector[T]])
(implicit [[framework-specific]]): Rep[Vector[T]] =
[[framework-specific]]
def map[S](f: Rep[T] => Rep[S])(n: Numeric[S])
(implicit [[framework-specific]]): Rep[Vector[S]] =
[[framework-specific]]
}
}
trait VectorOps extends Base {
implicit class VectorRep[T:Numeric](v: Rep[Vector[T]]) {
def +(that: Rep[Vector[T]])
(implicit sc: SourceContext): Rep[Vector[T]] =
vector_plus(this, that)
}
}
trait VectorExp extends VectorOps with BaseExp {
// case classes
case class VectorPlus[T:Numeric:TypeTag]
(self: Rep[Vector[T]], v2: Rep[Vector[T]])
extends Def[Vector[T]]
def vector_plus[T:Numeric:TypeTag]
(self: Rep[Vector[T]], v2: Rep[Vector[T]])
(implicit sc: SourceContext): Rep[Vector[T]] =
VectorPlus(self, v2) // IR node construction
// IR constructors for ‘map‘ is elided
}
Use method bodies:
class Vector[T: Numeric](val data: Seq[T]) {
def +(that: Vector[T]): Vector[T] =
new Vector(data.zip(that.data).map({
x => x._1 + x._2
}))
}
Define semantics of the deep embedding:
trait VectorLowLevel extends VectorOps
with SeqLowLevel {
// Low level implementations
override def vector_plus[T:Numeric:TypeTag]
(self: Rep[Vector[T]], v2: Rep[Vector[T]]): Rep[Vector[T]] = {
VectorPlus(self, v2) atPhase(Lowering) {
$newVector(self.data.zip(v2.data).map($lam {
x => x._1 + x._2
}))
}
}
}
Forge is a specification EDSL for generating Delite-specific deep embedding.
| EDSL | Direct | Forge | Deep |
|---|---|---|---|
| OptiML | 1128 | 1090 | 5876 |
| OptiQL | 73 | 74 | 526 |
| Vector | 70 | 71 | 369 |
Motivating example: matrix-chain multiplication
With the matrix multiplication DSL:
def multiply(m1: Matrix, m2: Matrix, m3: Matrix, m4: Matrix): Matrix =
laDSL {
m1 * m2 * m3 * m4
}
How to mange caching and decide when to re-compile?
Explicitly track program slices of run-time values that affect compilation.
Based on polymorphic embedding:
case class SD[+T](static: Option[T], dynamic: Option[Rep[T]])
def lift[T](v: T): SD[T]
def escape[T](v: SD[T]): T
Operations on SD
added in the same way as operations on Rep
Provide high-level abstractions based on the primitives
def sgn(v: Int): Int = dsl {
if (v > 0) math.POSTIVE
else if (v < 0) math.NEGATIVE
else math.ZERO
}
sgn(1); sgn(0);
def cost(p: Array[Int]) {
val n = p.length - 1
m = Array.fill[Int](n, n)(0)
s = Array.fill[Int](n, n)(0)
for (ii <- 1 until n;
i <- 0 until n - ii) {
val j = i + ii
m(i)(j) = Int.MaxValue
for (k <- i until j) {
val q = m(i)(k) +
m(k + 1)(j) +
p(i) * p(k+1) * p(j+1)
if (q < m(i)(j)) {
m(i)(j) = q
s(i)(j) = k
}
}
}
}
Matrix multiplication for:
Goal 1: use DSLs without even knowing it
Goal 2: define DSLs as easy as libraries


‘The Annulment’ review: Legally bland
In an age where there are discussions on legalizing divorce, a film like 'The Annulment' is counterproductive
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public class VideoCapture
extends java.lang.Object
CvCapture
is used instead of %VideoCapture.
Note:
OPENCV_SOURCE_CODE/samples/cpp/videocapture_starter.cpp
OPENCV_SOURCE_CODE/samples/python/video.py
OPENCV_SOURCE_CODE/samples/python/video_threaded.py
OPENCV_SOURCE_CODE/samples/python/video_v4l2.py
| Constructor and Description |
|---|
VideoCapture()
Default constructor
Note: In REF: videoio_c "C API", when you finished working with video, release CvCapture structure with
cvReleaseCapture(), or use Ptr<CvCapture> that calls cvReleaseCapture() automatically in the
destructor.
|
VideoCapture(int index)
Open a camera for video capturing
|
VideoCapture(int index,
int apiPreference)
Opens a camera for video capturing
|
VideoCapture(java.lang.String filename)
Open video file or image file sequence or a capturing device or a IP video stream for video capturing
Same as VideoCapture(const String& filename, int apiPreference) but using default Capture API backends
|
VideoCapture(java.lang.String filename,
int apiPreference)
Open video file or a capturing device or a IP video stream for video capturing with API Preference
|
| Modifier and Type | Method and Description |
|---|---|
static VideoCapture |
__fromPtr__(long addr) |
double |
get(int propId)
Returns the specified VideoCapture property
|
java.lang.String |
getBackendName()
Returns used backend API name
Note: Stream should be opened.
|
long |
getNativeObjAddr() |
boolean |
grab()
Grabs the next frame from video file or capturing device.
|
boolean |
isOpened()
Returns true if video capturing has been initialized already.
|
boolean |
open(int index)
Open a camera for video capturing
Parameters are same as the constructor VideoCapture(int index)
|
boolean |
open(int cameraNum,
int apiPreference)
Open a camera for video capturing
Parameters are similar as the constructor VideoCapture(int index),except it takes an additional argument apiPreference.
|
boolean |
open(java.lang.String filename)
Open video file or a capturing device or a IP video stream for video capturing
Parameters are same as the constructor VideoCapture(const String& filename)
|
boolean |
open(java.lang.String filename,
int apiPreference)
Open video file or a capturing device or a IP video stream for video capturing with API Preference
Parameters are same as the constructor VideoCapture(const String& filename, int apiPreference)
|
boolean |
read(Mat image)
Grabs, decodes and returns the next video frame.
|
void |
release()
Closes video file or capturing device.
|
boolean |
retrieve(Mat image)
Decodes and returns the grabbed video frame.
|
boolean |
retrieve(Mat image,
int flag)
Decodes and returns the grabbed video frame.
|
boolean |
set(int propId,
double value)
Sets a property in the VideoCapture.
|
public VideoCapture()
public VideoCapture(int index)
index
- camera_id + domain_offset (CAP_*) id of the video capturing device to open. To open default camera using default backend just pass 0.
Use a domain_offset
to enforce a specific reader implementation if multiple are available like cv::CAP_FFMPEG or cv::CAP_IMAGES or cv::CAP_DSHOW.
e.g. to open Camera 1 using the MS Media Foundation API use index = 1 + cv::CAP_MSMF
SEE: cv::VideoCaptureAPIspublic VideoCapture(int index, int apiPreference)
index
- id of the video capturing device to open. To open default camera using default backend just pass 0.
(to backward compatibility usage of camera_id + domain_offset (CAP_*) is valid when apiPreference is CAP_ANY)apiPreference
- preferred Capture API backends to use. Can be used to enforce a specific reader
implementation if multiple are available: e.g. cv::CAP_DSHOW or cv::CAP_MSMF or cv::CAP_V4L2.
SEE: cv::VideoCaptureAPIspublic VideoCapture(java.lang.String filename)
filename
- automatically generatedpublic VideoCapture(java.lang.String filename, int apiPreference)
filename
- it can be:
video.avi
)
img_%02d.jpg
, which will read samples like img_00.jpg, img_01.jpg, img_02.jpg, ...
)
protocol://host:port/script_name?script_params|auth
)
apiPreference
- preferred Capture API backends to use. Can be used to enforce a specific reader
implementation if multiple are available: e.g. cv::CAP_FFMPEG or cv::CAP_IMAGES or cv::CAP_DSHOW.
public static VideoCapture __fromPtr__(long addr)
public double get(int propId)
propId
- Property identifier from cv::VideoCaptureProperties (eg. cv::CAP_PROP_POS_MSEC, cv::CAP_PROP_POS_FRAMES, ...)
or one from REF: videoio_flags_others
VideoCapture -> API Backend -> Operating System -> Device Driver -> Device Hardware
The returned value might be different from what really used by the device or it could be encoded
using device dependent rules (eg. steps or percentage). Effective behaviour depends from device
driver and API Backendpublic java.lang.String getBackendName()
public long getNativeObjAddr()
public boolean grab()
true
(non-zero) in the case of success.
The method/function grabs the next frame from video file or camera and returns true (non-zero) in
the case of success.
The primary use of the function is in multi-camera environments, especially when the cameras do not
have hardware synchronization. That is, you call VideoCapture::grab() for each camera and after that
call the slower method VideoCapture::retrieve() to decode and get frame from each camera. This way
the overhead on demosaicing or motion jpeg decompression etc. is eliminated and the retrieved frames
from different cameras will be closer in time.
Also, when a connected camera is multi-head (for example, a stereo camera or a Kinect device), the
correct way of retrieving data from it is to call VideoCapture::grab() first and then call
VideoCapture::retrieve() one or more times with different values of the channel parameter.
REF: tutorial_kinect_opennipublic boolean isOpened()
public boolean open(int index)
index
- automatically generatedtrue
if the camera has been successfully opened.
The method first calls VideoCapture::release to close the already opened file or camera.public boolean open(int cameraNum, int apiPreference)
index=cameraNum + apiPreference
cameraNum
- automatically generatedapiPreference
- automatically generatedtrue
if the camera has been successfully opened.public boolean open(java.lang.String filename)
filename
- automatically generatedtrue
if the file has been successfully opened
The method first calls VideoCapture::release to close the already opened file or camera.public boolean open(java.lang.String filename, int apiPreference)
filename
- automatically generatedapiPreference
- automatically generatedtrue
if the file has been successfully opened
The method first calls VideoCapture::release to close the already opened file or camera.public boolean read(Mat image)
image
- automatically generatedfalse
if no frames has been grabbed
The method/function combines VideoCapture::grab() and VideoCapture::retrieve() in one call. This is the
most convenient method for reading video files or capturing data from decode and returns the just
grabbed frame. If no frames has been grabbed (camera has been disconnected, or there are no more
frames in video file), the method returns false and the function returns empty image (with %cv::Mat, test it with Mat::empty()).
Note: In REF: videoio_c "C API", functions cvRetrieveFrame() and cv.RetrieveFrame() return image stored inside the video
capturing structure. It is not allowed to modify or release the image! You can copy the frame using
cvCloneImage and then do whatever you want with the copy.public void release()
public boolean retrieve(Mat image)
image
- automatically generatedfalse
if no frames has been grabbed
The method decodes and returns the just grabbed frame. If no frames has been grabbed
(camera has been disconnected, or there are no more frames in video file), the method returns false
and the function returns an empty image (with %cv::Mat, test it with Mat::empty()).
SEE: read()
Note: In REF: videoio_c "C API", functions cvRetrieveFrame() and cv.RetrieveFrame() return image stored inside the video
capturing structure. It is not allowed to modify or release the image! You can copy the frame using
cvCloneImage and then do whatever you want with the copy.public boolean retrieve(Mat image, int flag)
flag
- it could be a frame index or a driver specific flagimage
- automatically generatedfalse
if no frames has been grabbed
The method decodes and returns the just grabbed frame. If no frames has been grabbed
(camera has been disconnected, or there are no more frames in video file), the method returns false
and the function returns an empty image (with %cv::Mat, test it with Mat::empty()).
SEE: read()
Note: In REF: videoio_c "C API", functions cvRetrieveFrame() and cv.RetrieveFrame() return image stored inside the video
capturing structure. It is not allowed to modify or release the image! You can copy the frame using
cvCloneImage and then do whatever you want with the copy.public boolean set(int propId, double value)
propId
- Property identifier from cv::VideoCaptureProperties (eg. cv::CAP_PROP_POS_MSEC, cv::CAP_PROP_POS_FRAMES, ...)
or one from REF: videoio_flags_othersvalue
- Value of the property.true
if the property is supported by backend used by the VideoCapture instance.
Note: Even if it returns true
this doesn't ensure that the property
value has been accepted by the capture device. See note in VideoCapture::get()Generated on 2021-04-02 03:15:03 / OpenCV 3.4.14


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In Marcoux’s (2001)1 ethnography on people living in Montreal, one of the features of life in the city is the need to move houses every year. In the process of moving, people are faced with the need to sort out the things they possess and choose which to stay with them and which to discard. Some things are retained due to perceived values of functionality, and some are kept for their roles as memory tokens. While people look through their collections of things, they are also granted the opportunity to recreate their sense of self and rewrite the story of their lives.
In our casual conversations, C told me that the flat in London was her home away from her parents’ home in Taiwan. Therefore, she had total control of the arrangements and the things to incorporate in the home. She was also more motivated to clean the flat every day to reiterate the kind of self she wants to be.
C’s home, however, was located in London, a city where she did not arrive until commencing postgraduate studies as an adult. There was still an element of displacement in her life in London. As I took glimpses of the collections of books and DVDs she had on her shelves, she explained how some of the objects had helped her through difficult times.
Researcher: Were the DVDs you brought to London films in foreign languages (i.e. not in Mandarin Chinese)?
C: Yes.
Researcher: Did you buy them in Taiwan?
C: I bought them here actually [during MA studies], took them back to Taiwan, and brought them with me again to London. I bought a lot of DVDs back then, and I only brought a portion of them here, including a film by a French director I really liked. They provide solace to me, and I hardly ever watch them. If I become really upset someday, I get to watch them.
Research: How many have you actually watched?
C: Just one DVD.
Researcher: Just one after you moved in?
C: Yes.
As mentioned in the interview, DVDs were acquired during periods of displacement and “lived” with her in migration. When it comes to her book collection, they were understood depending on when, where, and how she had acquired them.
Researcher: Were the books you have now purchased in London?
C: Most of them, yes.
Researcher: The Mandarin ones were brought from Taiwan?
C: Yes, or sent to me by my mom. Sometimes when my mom sends things to me from Taiwan, there would be extra space in the packages. The post office charges packages according to the area and weight, and it would be a waste of money if the extra space isn’t fully used, so I would ask my mom to send me some books.
Researcher: Do you read them after you receive them?
C: Rarely.
Researcher: So they are solace to you as well?
C: Yes, since they are here... (laughs) This sounds bad.
Researcher: Of course not!
The books sent from Taiwan therefore carried emotional weight in this new domestic space in London. As mentioned in the interview excerpt, she chose the books herself to be relocated to London, so she had exercised agency to place them in a new context and at the same time performed "active management of one’s own externalized memory" (Miller, 2001, p. 8)2. Once they arrived in London, they were placed alongside the newer books she bought on the shelf, mingling together as a PhD student's book collection. Her collections thus mediated her memories of the past as well as her aspirations for the future.
Marcoux, J.-S. (2001). The Refurbishment of Memory. In: D. Miller, ed., Home Possessions: Material Culture behind Closed Doors. Oxford; New York: Berg, pp. 69-86. ↩
Miller, D. (2001). Behind Closed Doors. In: D. Miller, ed., Home Possessions: Material Culture behind Closed Doors. Oxford; New York: Berg, pp. 1-19. ↩


var defaultBreath: Long
Convenient default value in ms to wait before next answer sentence. 1s by default.


There’s something missing in our scripts, and the easiest place to see this is in an ordinary function call:
f(2, pi)
Realizing that commas are just ends-of-lines, we could write this
f(
2
pi
)
which shows that 2 and pi are somehow valid commands. How can this be?
Let’s draw an analogy. Back in the cave man days, there were probably a lot of sentences like
rock
which in modern English would be written
[That which I want to draw your attention to] [is] the rock.
In other words, if a sentence only contains an object, the cave man’s brain fills it out by adding some stock subject and verb. Cicada works exactly the same way: the stock ‘subjects and verbs’ to use in different situations are the so-called adapters defined in cicada.c. Each adapter allows the compiler to convert some bare expression (analogous to the object of a sentence) to another type (perhaps a ‘sentence’ type), at the price of adding a few bytecode words. This prevents a type-mismatch error from being thrown by incomplete expressions.
For example, when the user enters the command ‘2’, the compiler rolls its eyes and reaches for the type-mismatch error button, because it expected a complete command (a type 1 expression) whereas an int_constant can only be construed as types 4, 5 or 6 based on its return-types string in the cicadaLanguage[] array. But then Cicada notices an adapter that works on type-5 objects (called type5arg_adapter in cicada.c), and moreover that adapter’s return-types string includes a “1” which is what we want. So the adapter adds its code and the error never happens. Here is the adapter’s bytecode:
inbytecode "8 173 10" anonymousmember "a1"
The expression to adapt is considered the ‘argument’ and goes in place of a1. Looking at cicada.h or the reference section, we could figure out that this adapter turns our expression into something looking like
var1 := 2
except that the define-equate operator has slightly different define flags (173 instead of 47). Likewise the expression ‘pi’ requires a different adapter that looks like
var2 := @pi
though again with slightly different flags on the aliasing operator. A third adapter with a define-like operator creates composite objects, and allows statements like myVar = { 1, false }.
The anonymousmember keyword is a unique member ‘name’, which is inexpressible by any user. (The reason is that members the user types are translated into positive member ID numbers in bytecode, whereas anonymous members are assigned sequential negative ID numbers.) Thus the members we represented as var1 and var2 in the last paragraph really don’t have those names or any other, so they can only be accessed by index using the bracket operators [...]. (Or by ‘name’/ID number if we are willing to write our own bytecode.)
Incidentally, anonymous members are also used in ordinary function calls, and in this case those members are also ‘hidden’ because their define operators have the hidden-member flag set. The hidden flag causes these members to be invisible to the array-index operators: they can only be accessed by ‘name’ (a.k.a. ID number). The variables behind these members become the args variables when functions are run. If it helps, think of a function call f(2, pi) as if the syntax were f{2, pi}, having braces denoting the argument variable.
The exotic define operator flags used by function calls are listed in Table 3. The rarest bird in this collection, abbreviated def-c** (‘hidden-define-minus-constructor’), lives exclusively in the function call of a trap() function, defining the args variable without running its constructor so that trap() can do this in a controlled way.
The adapters consistently set the unjammable flag of their define/equate-at operators, preventing them from jamming arrays. For example, if we call f(myArray[<2, 4>]) we will still be able to resize myArray in the future, and the broken link will be refreshed next time that call to f() is made because that reruns the argument constructor. (In sets this can cause a problem, because the set’s constructor is not usually rerun after an array resize. We can get around this by manually aliasing a member to certain array indices.) Also, the update-members flag is cleared by all of the adapters, so that the anonymous member can be re-assigned to a variable of a different type (for example if between two iterations of the command f(a) member ‘a’ gets removed and redefined).
One last type of adapter called noarg_adapter replaces missing expressions altogether. These adapters are necessary to allow blank scripts, or expressions like ‘,,’ where no command appeared between the commas, since each comma expects a sentence-type argument. A final no-argument-adapter allows a script to contain a return command without a variable.
Notice that the final set of adapters in cicada.c/cpp is used to convert a sentences-type expression (type 1) to a script expression (type 0), by adding a null bytecode word at the end.
Last update: June 18, 2019


The button above has been clicked [[ total ]] times.
Some other people hanging around... [[person]] ,


India seeks access to 2 nationals arrested by Pak
by PTIIndia on Thursday asked Pakistan to provide consular access to two of its nationals it has arrested and sought their repatriation without any harm.
The sudden arrest of two Indians, Prashant Vaindam and Dhari Lal- as reported by Pakistani media, came as a surprise as India had informed Pakistan that they may have crossed over inadvertently, the External Affairs Ministry spokesperson said at a briefing.
The MEA hoped that the arrested Indians don't become victims of Pakistani propaganda.


Nameless Spirit:
Excellent! Now, could you please smooth out the skin? Remove the hair, and smooth out the skin so that it's thin and soft. Just enough for me to write the spell down...
"Here it is."


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Exclusive samples from Charles Burns' new book, Free Shit
by Mark FrauenfelderCharles Burns is one of my all-time favorite cartoonists. I had no idea that since 2000 he has been self-publishing a zine that he sends to a small circle of friends, called Free Shit. I'm deeply hurt not to be included on his mailing list, but I can find a morsel of solace in this anthology of drawings from the pages of Free Shit. The book is called Free Shit, and is published by Fantagraphics, who kindly gave me permission to run a selection of the drawings that appear in the book.


The visualisation on the left will help you to explore all the features and information available in eReefs
eReefs is an project developed by CSIRO and aims to address all the information related to the Great Barrier Reef.
The visualisation on the left will help you to explore all the features and information available in eReefs
eReefs is an project developed by CSIRO and aims to address all the information related to the Great Barrier Reef.


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Assembly Instructions - Desktop versus Colorimeter¶
The next several pages include instructions for assembly of the Stir Plate Kits. The instructions (particularly steps 4 & 5) highlight the Desktop Stir Plate Kit. However assembly of the Colorimeter version is very similar and most of these instructions apply to both kits. For example, Steps 1-3 are the same for both kits, just with different acrylic enclosure parts. The main difference between the two kits is in the layout of the speed control PCB and motor/magnet hub in the acrylic enclosure (Step 4). In addition, Step 5 does not apply to the Colorimeter version.
Modifications to the layout of colorimeter version are highlighted further on this page: Assembly of the Colorimeter Stir Plate enclosure.


Advance Search Panel
In this section, we will cover the following search queries:
- Match Query and its variances - basic search based on term(s)
- Match Phrase Query and its variances - treat the terms as a phrase
- Multi Match Query - matching multiple fields for a term
- Terms Query - matching multiple terms in a field
Match Query
The simplest and yet flexible query to perform basic searches. By default the
"operator" for a MatchQuery is "OR"; which means that any
document with the given field's value matches ANY of the terms would be a match.
If you type
"necklace green" in the search-term textbox and
set the size of the query batch to
"20"; you would get back a list
of results related to either
green OR
necklace.
For the first few results in the list; they seem to be quite relevant (e.g.
DIAMANTE NECKLACE GREEN, GREEN MURANO TWIST NECKLACE), however if you keep on
scrolling down the list, you would find that the results are less and less
related to "necklace green" (e.g. GREEN SWEETHEART BRACELET, GREEN VINTAGE EARRINGS).
The reason is because the default
operator for MatchQuery is
OR.
Now, let's modify the operator to "AND" instead. Run
the query again and now every result returned MUST have both "necklace"
and "green" available in the given field (in this case, "t_description"). This
is a simple technique to restrict the number of results returned and also at
the same time increase accuracy (return more relevant results).
If you don't want to be so restrictive in retrieving the results, you can
keep using operator = OR, and configure the
minimum should match setting instead. Assume you typed in
"green earring necklace" and set the minimum should match
setting to 2. Run the query and you should get back a list of
results having 2 or more of the terms matched in the designated field
(in this case "t_description"). For the first few results, you got back
"GREEN VINTAGE EARRINGS" (which matches 2 terms - green and earring),
"DIAMANTE NECKLACE GREEN" (which matches 2 terms - green and necklace).
By now, you have added flexibility in retreiving a match (using OR) and at
the same restricting the number of entries returned based on
accuracy / relevancy (minimum should match).
The last option available in the panel area is "highlight"; this is a
handy option for helping you to spot out why a document is a match with the
given terms and settings (e.g. operator change). If we turn on "highlight";
the matched terms would be in
red color.
Giving you a hint why and where this document is a match. Try to turn the
"highlight" off and run the query again. Now there would be no hint at all
for the results.
The "Query DSL" panel shows you exactly how the query DSL is
created and to be run against your Elasticsearch instance. Try to change
the settings and run the query, you will notice the query inside the panel
would change accordingly.
Match Phrase Query
If you want a more restrictive way to retrieve documents
(not just all the terms are within that field of the document), such as the
position of terms MUST be in sequence.
Match Phrase Query can help.
Type in
"vintage earring green" as the search text and run the
query. Now you would have ZERO results, why? The reason is a hit means the
document's t_description field needs to have
vintage,
green and
earring to be available
PLUS the ordering of the 3 terms must in
the given sequence as well. Hence no results returned. Modify the search text
into
"green vintage earring" and run the query again. This time
you would get back 2 results, do focus on the
highlighted
t_description field and you would find out that both results have the terms
in the exactly sequence we provided.
Having such restrictive rules is good for certain use cases, however, wouldn't
it be even better if we could add certain flexibility? The
slop
operator let's us add a configured number of arbitrary term(s) in between our
phrase. Type in
"green earring" in the search text and run the query.
Zero results returned as there are no such document with t_description having
exactly "green earring" as the value. Now modify the
slop operator,
set it to
1 and run the query again. Now you should get back 6
results and take a look at the
highlighted
t_description, you can see that there is exactly "1" arbitrary term
between "green" and "earring". We successfully setup our restritive query
condition and adding a certain degree of flexibility.
Multi Match Query
There are times when you would want to search a given term(s) across multiple
fields. For example, our Jey-mart eCommerce store, the searchbar might actually
search the given search text across both "t_description" and "s_brand_name"
fields.
Type in "design" as the search text and run the query. You should
get back a list of results. The 1st result shows that there is a match with
design at both t_description and s_brand_name field.
In real world use cases, you might want to search certain products name across
"user_comments" and "shopping_list" fields, so now you would be able to know
for a certain product, how many user comments on it
(also is the comment positive or negative) plus how well does it sell
(based on age group, gender etc);
more importantly, you could derive a set of metrics, visualizations and dashboards
based on these findings which might help you to predict a sales trend!
Terms Query
Slightly different from Multi-Search query, you might want to search a list of
terms on a single field. For example, you might want to retrieve documents
containing "sports shoes" and "sneakers" for the "product_description" field;
in such case, you know that sports-shoes are equivalent to sneakers in some sense,
hence searching both terms might benefit you most.
Type in
cake,design as the search text and run the query. Now you
should get back a list of results containing either
"cake" or
"design"
as a hit.
Summary
Cool! In this section, we have covered and run through
Match Query,
Match Phrase Query,
Multi Match Query and
Terms Query.
These are the basic and yet important queries in Elasticsearch,
use them wisely and you should have most of your everyday search use cases solved.
For more advance queries, do take a look at the
Boolean Query in which it provides you a way to combine
a set of retrieval criteria (each criteria might use one of the 4 queries mentioned in this section)
Happy Searching


Ritern Technology, national high-tech enterprise, Shenzhen high-tech enterprise, national AAA credit enterprise, CCTV CCTV special communication communication enterprise, is an excellent communication solution provider and Design House, has been focusing on providing complete products for all manufacturers. Communication solution. At present, the delivery of functional indicators, design plans and test solutions for communication products such as industrial ring switches and network management switches maintains industry-leading, and software sales account for more than 30% and increase year by year.
Our professional software and hardware R&D team, with rich experience in communication product development, is able to quickly provide customers with mass production communication design solutions.Design elements include chip selection, software platform, software architecture, PCB layer size, external size, and shell layout. The published documents include schematics, layout, PCB, patch parameter table, BOM, and management software. Products designed include but are not limited to: industrial switches, network management switches, optical switches, routers, serial servers, G/EPON, WLAN, PTN, power cats, fiber optic transceivers, optical transceivers, power automatic meter reading systems, radio frequency identification products (RFID), personnel positioning system, etc.
For any design needs, please contact our sales department or send an email to<EMAIL_ADDRESS>The sales staff and technicians of the company will conduct face-to-face technical exchanges with customers, refine customer needs, clarify product specifications and design layout, and complete the whole set of software and hardware design and deliver to customers in the shortest time.
Ritern Technology,it is a reliable and fast provider and advocate of product testing and measurement solutions.Relying on the extensive and solid customer base of the domestic electronics industry, we provide the latest and most cost-effective test systems and test methods in the industry to promote the upgrading of test equipment/instruments and promote the development of China's electronic communication products from “Made in China”. The evolution of "China's wisdom". Currently, the scope of testing and measurement covers component testing, component testing, product testing, and system testing. Test objects include Ethernet wired communication products and wireless communication products, as well as various electronic products.
For any test program needs, please contact our sales department or send an email to<EMAIL_ADDRESS>During the promotion of the test plan, the company will provide customers with on-site demonstrations and three-day free trial services.
As a communication solution provider, Ritern Technology has obvious advantages in both R&D staffing and development and debugging experience.The experienced R&D team and extensive development experience enable us to provide our customers with adequate and meticulous technical support. For any technical support needs, please call 0755-86230648-to the technical department, our technical staff will provide you with meticulous answers.
Ritern Technology is a state-level high-tech enterprise with advanced technology and design capability as its core. It attaches great importance to project cooperation and cutting-edge technology research with famous universities in China. The universities that have cooperated include Zhejiang University, Wuhan University of Technology, and Electronics. University of Science and Technology, Xi'an University of Electronic Science and Technology, Shenzhen University, Changsha Communication Technology College, etc.
Welcome new and old customers to contact us with specific needs. We will wholeheartedly provide cost-effective and considerate services to create value beyond our imagination.


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Campus Recreation
Students can participate in a healthy lifestyle by getting active at the College recreation center. Whether you like to run, swim, or go to group classes, the recreation center is a great place to be!
Students that are not on official College sports teams can still participate in team sports on a club or intramural team. Club sports teams require students to try out and attend weekly practices. Intramural sports are more laid back. Students can put together teams with their friends and hold unofficial practices for weekly games!
Are you interested in fitness but not sure where to start? Consider coming to a group class at the recreation center! Group classes are guided classes in various areas of fitness. From cycling to body pump, there is surely a class for you.