public class HitCalculations
extends java.lang.Object
TargetRestrictions, ShootingRestrictions
| Constructor and Description |
|---|
HitCalculations() |
| Modifier and Type | Method and Description |
|---|---|
ShootingRestrictions |
getShootingRestrictions() |
TargetRestrictions |
getTargetRestrictions() |
boolean |
hitTheDestination(double srcAzimuth,
Device srcDevice,
Device dstDevice)
Verify if the srcDevice hit the dstDevice by attributes default defined in
ShootingRestrictions and TargetRestrictions |
boolean |
hitTheDestination(double srcAzimuth,
Device srcDevice,
Device dstDevice,
Device virtualTarget)
Verify if the srcDevice hit the dstDevice by opening angle of shoot defined in
ShootingRestrictions |
boolean |
hitTheDestinationByOpeningAngleOfShoot(double srcAzimuth,
Device srcDevice,
Device dstDevice)
Verify if the srcDevice hit the dstDevice by opening angle of shoot defined in
ShootingRestrictions |
boolean |
hitTheDestinationByOpeningAngleOfShoot(double srcAzimuth,
Device srcDevice,
Device dstDevice,
double openingAngleShoot)
Verify if the srcDevice hit the dstDevice by opening angle of shoot
|
boolean |
hitTheDestinationByRadiusRange(double srcAzimuth,
Device srcDevice,
Device dstDevice)
Verify if the srcDevice hit the dstDevice with a radius defined by default
|
boolean |
hitTheDestinationByRadiusRange(double srcAzimuth,
Device srcDevice,
Device dstDevice,
Device virtualTarget)
Verify if the srcDevice hit the dstDevice with a radius defined by default
|
boolean |
hitTheDestinationByRadiusRange(double srcAzimuth,
Device srcDevice,
Device dstDevice,
Device virtualTarget,
double radiusRange)
Verify if the srcDevice hit the dstDevice with a radius range
|
boolean |
isValidTheDistanceBetweenDevices(Device srcDevice,
Device dstDevice)
Verify if the distance between srcDevice and dstDevice is less then the maximum distance defined in
ShootingRestrictions |
boolean |
isValidTheDistanceBetweenDevices(Device srcDevice,
Device dstDevice,
double maximumDistanceSrcToDst)
Verify if the distance between srcDevice and dstDevice is less then the maximumDistanceSrcToDst
|
void |
setShootingRestrictions(ShootingRestrictions shootingRestrictions) |
void |
setTargetRestrictions(TargetRestrictions targetRestrictions) |
public TargetRestrictions getTargetRestrictions()
public void setTargetRestrictions(TargetRestrictions targetRestrictions)
public ShootingRestrictions getShootingRestrictions()
public void setShootingRestrictions(ShootingRestrictions shootingRestrictions)
public boolean isValidTheDistanceBetweenDevices(Device srcDevice, Device dstDevice, double maximumDistanceSrcToDst)
srcDevice
- Device
with DeviceLocation
not nulldstDevice
- Device
with DeviceLocation
not nullmaximumDistanceSrcToDst
- maximum distance from source to destination in meterspublic boolean isValidTheDistanceBetweenDevices(Device srcDevice, Device dstDevice)
ShootingRestrictions
srcDevice
- Device
with DeviceLocation
not nulldstDevice
- Device
with DeviceLocation
not nullShootingRestrictions
public boolean hitTheDestinationByRadiusRange(double srcAzimuth, Device srcDevice, Device dstDevice, Device virtualTarget, double radiusRange)
srcAzimuth
- degree by end range of shootsrcDevice
- Device
with DeviceLocation
not nulldstDevice
- Device
with DeviceLocation
not nullvirtualTarget
- Destination Device
returnedradiusRange
- meterspublic boolean hitTheDestinationByRadiusRange(double srcAzimuth, Device srcDevice, Device dstDevice, Device virtualTarget)
srcAzimuth
- degree by end range of shootsrcDevice
- Device
with DeviceLocation
not nulldstDevice
- Device
with DeviceLocation
not nullvirtualTarget
- Destination Device
returnedpublic boolean hitTheDestinationByRadiusRange(double srcAzimuth, Device srcDevice, Device dstDevice)
srcAzimuth
- degree by end range of shootsrcDevice
- Device
with DeviceLocation
not nulldstDevice
- Device
with DeviceLocation
not nullvirtualTarget
- Destination Device
returnedpublic boolean hitTheDestinationByOpeningAngleOfShoot(double srcAzimuth, Device srcDevice, Device dstDevice, double openingAngleShoot)
srcAzimuth
- degree by end range of shootsrcDevice
- Device
with DeviceLocation
not nulldstDevice
- Device
with DeviceLocation
not nullopeningAngleShoot
- degreepublic boolean hitTheDestinationByOpeningAngleOfShoot(double srcAzimuth, Device srcDevice, Device dstDevice)
ShootingRestrictions
srcAzimuth
- degree by end range of shootsrcDevice
- Device
with DeviceLocation
not nulldstDevice
- Device
with DeviceLocation
not nullShootingRestrictions
public boolean hitTheDestination(double srcAzimuth, Device srcDevice, Device dstDevice, Device virtualTarget)
ShootingRestrictions
srcAzimuth
- degree by end range of shootsrcDevice
- Device
with DeviceLocation
not nulldstDevice
- Device
with DeviceLocation
not nullvirtualTarget
- Destination Device
returnedShootingRestrictions
public boolean hitTheDestination(double srcAzimuth, Device srcDevice, Device dstDevice)
ShootingRestrictions
and TargetRestrictions
srcAzimuth
- degree by end range of shootsrcDevice
- Device
with DeviceLocation
not nulldstDevice
- Device
with DeviceLocation
not nullShootingRestrictions
and TargetRestrictions


Quotes
- "When something is important enough, you do it even if the odds are not in your favor."
- Elon Musk - "For the first 30 years of your life, you make your habits.
- Hindu proverb - "Don't let the noise of others' opinions drown out your own inner voice."
- Steve Jobs - "We wanted flying cars, instead we got 140 characters."
- Peter Thiel - "Show me the incentive and I’ll show you the outcome."
- Charlie Munger - "Pessimists sound smart. Optimists make money."
- Nat Friedman - "We've all got both light and dark inside us. What matters is the part we choose to act on. That's who we really are."
- J.K. Rowling - "Darkness cannot drive out darkness; only light can do that. Hate cannot drive out hate; only love can do that."
- Martin Luther King - "Luck favors the prepared mind."
- Louis Pasteur - "Change breaks the brittle."
- Jan Houtema - "Focusing is about saying no."
- Steve Jobs - "Those who dare to fail miserably can achieve greatly."
- John F. Kennedy - "The mind is everything. What you think you become."
- Buddha - "One good test is worth a thousand expert opinions."
- Wernher Von Braun - "Don't worry about what anybody else is going to do. The best way to predict the future is to invent it."
- Alan Kay - "Don't fear moving slowly. Fear standing still."
– Chinese proverb - "The people that really create the things that change this industry are both the thinker and doer in one person."
- Steve Jobs - "Those who can make you believe absurdities can make you commit atrocities."
– Voltaire - "The best minds of our generation are thinking about how to make people click ads."
- Jeff Hammerbacher - "I must not fear. Fear is the mind-killer. Fear is the little-death that brings total obliteration. I will face my fear. I will permit it to pass over me and through me. And when it has gone past I will turn the inner eye to see its path. Where the fear has gone there will be nothing. Only I will remain."
- Frank Herbert, Dune - "When the enemy is making a false movement we must take good care not to interrupt him."
– Napoleon


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GENGHIS BLUES A film review by Jeremiah Kipp Copyright 2000 filmcritic.com filmcritic.com
Gosh, I had to be dragged kicking and screaming to see this film.
Here's the premise: Filmmakers accompany a blind blues musician to the small country of Tuva, just north of Mongolia, to participate in the 1995 throat-singing symposium in Kyzyl. My roommate passionately rhapsodized over it for days, yet nothing about this premise connected with me. "Lemme tell you something, pal -- I'd rather watch mute nuns performing The Sound of Music than watch these guys do their... their... their crazy throat-singing ritual!"
Just goes to show, you can't judge a book by its cover. Boy, did I feel silly when I actually sat down to watch Genghis Blues, one of the more exhilarating and passionate documentaries about music and culture to appear in recent years. Who would have thought I'd actually love this music and want to learn more about it?
There are too many layers of Genghis Blues to discuss within the context of a review. And unfortunately, the act of describing the adventures of our filmmaking team and their companion, Paul Pena (blind, mouthy, and sharp as a whip) might strike readers as, well, boring.
Who would think that you could get excited about these characters packing for their long trip east, riding in planes, buses, and cars for thousands of miles through the desert? Or that the history of this small country would prove exciting?
You wouldn't expect the musical performers who gather at this event to cause the average viewer (me) to sit bolt upright on the couch, mouth agape in amazement, as they sang notes which seemed like the distant rumblings of an underground cave or an impossibly beautiful wood instrument. The experience was beautiful and strange.
This is no stodgy, academic National Geographic special. The people of Tuva are lively and buoyant, pleased, and excited that the American, Pena, would take such an interest in their art of throat singing, which allows them to voice more than one note at the same time. Pena is also familiar with their vivid, colorful garb and language, long banned by the Communists.
And he's blind. He learned it all by translating from Tuvan to Russian to English, in Braille!  You ain't nothing!
The story is inherently dramatic. This is Pena's first time in this country, whose customs he has studied so passionately. As a participant in their competition, he's under enormous pressure created by his own fear. Right before he goes on, he's in the midst of paralyzing stage fright (which multiplies itself by a thousand when he's told that he cannot perform the song he had prepared, as some of the audience would be offended).
Paul and the filmmakers also journey through the land, meeting shamans and wrestlers. They take part in a goat slaughtering ceremony and bless themselves in the water of sacred rivers. While the filmmaking is rough, sometimes choppily cut together, you can't beat the beautiful landscapes or the appreciation that shines through Pena's face. This American has found his spiritual home.
Genghis Blues doesn't make Paul into a saint. As a blind man, he's often confused and disoriented, battling bouts of self-doubt and depression. It's heartbreaking to learn that in America the farthest he can walk alone is the corner store, that he often feels alienated or misunderstood as though he were some freak. And when some of his medication runs out, they may need to cut short their trip to Tuva, so Genghis Blues, for all its fascination with exploring new sights and sounds, is not without tears.
Saddest of all, an artist like Paul Pena can only find acceptance in a foreign land that doesn't look at his craft with confusion and misunderstanding. If Genghis Blues accomplishes anything, it makes Pena's world accessible to folks like me who might not give a damn, were they not led to the stream and asked to drink.

The review above was posted to the
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Related links: index of all rec.arts.movies.reviews reviews


You need to build and train the model before you test its performance. If you have trained the model, test it on the out-of-sample data. Follow these steps to test the model:
predict
method with the features of the testing period.y_hat = model.predict(X_test)
df = pd.DataFrame({'y': y_test.flatten(), 'y_hat': y_hat.flatten()}) df.plot(title='Model Performance: predicted vs actual %change in closing price', figsize=(15, 10))


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Monthes
Case read they must it of cold that. Speaking trifling an to unpacked moderate debating
It prepare is ye nothing blushes up brought or as gravity pasture limited evening on wicket around beauty say she frankness resembled.
Noisier ferrars yet shyness weather ten colonel. Too him himself engaged husband pursuit musical. Man age but him determine consisted therefore beyond regret wished.
For Contact


| Monday |
{{bar.monday.open| time}} - {{bar.monday.close| time}} |
Closed |
{{hh.start| time}} - {{hh.end| time}} |
No Happy Hour on monday |
| Tuesday |
{{bar.tuesday.open| time}} - {{bar.tuesday.close| time}} |
Closed |
{{hh.start| time}} - {{hh.end| time}} |
No Happy Hour on tuesday |
| Wednesday |
{{bar.wednesday.open| time}} - {{bar.wednesday.close| time}} |
Closed |
{{hh.start| time}} - {{hh.end| time}} |
No Happy Hour on wednesday |
| Thursday |
{{bar.thursday.open| time}} - {{bar.thursday.close| time}} |
Closed |
{{hh.start| time}} - {{hh.end| time}} |
No Happy Hour on thursday |
| Friday |
{{bar.friday.open| time}} - {{bar.friday.close| time}} |
Closed |
{{hh.start| time}} - {{hh.end| time}} |
No Happy Hour on friday |
| Saturday |
{{bar.saturday.open| time}} - {{bar.saturday.close| time}} |
Closed |
{{hh.start| time}} - {{hh.end| time}} |
No Happy Hour on saturday |
| Sunday |
{{bar.sunday.open| time}} - {{bar.sunday.close| time}} |
Closed |
{{hh.start| time}} - {{hh.end| time}} |
No Happy Hour on sunday |


St. Louis Space Frontier is a chapter of National Space Society (NSS). The National Space Society is an independent, educational, grassroots, non-profit organization dedicated to the creation of a spacefaring civilization. Founded as the National Space Institute (1974) and L5 Society (1975), which merged to form NSS in 1987, NSS is widely acknowledged as the preeminent citizen's voice on space. NSS has over 50 chapters in the United States and around the world. The society also publishes Ad Astra magazine, an award-winning periodical chronicling the most important developments in space. For U.S. tax purposes, NSS is a tax-exempt, 501(c)(3) educational, non-profit corporation. The National Space Society’s grassroots political activities are governed by the 501(h) election, which permits a limited amount of activity aimed at influencing U.S. legislation.
NSS Vision: "People living and working in thriving communities beyond the Earth, and the use of the vast resources of Space for the dramatic betterment of humanity."
NSS Mission: "to promote social, economic, technological, and political change in order to expand civilization beyond Earth, to settle Space and to use the resulting resources to build a hopeful and prosperous future for humanity."
St. Louis Space Frontier was active in the 1980’s and early 1990’s. In September 2013 a new chapter formed and members voted to retain the earlier chapter name. Currently we have 124 members; a modest budget; and are very active with monthly meetings, outreach events at the Science Center and local schools, special events, a book club, monthly newsletter, and Facebook page. We use Meetup to advertise events and have a website, StLouisSpaceFrontier.org. Our monthly meetings are held on the fourth Saturday of the month at Washington University. The chapter has worked to build relationships with Washington University, Saint Louis University, St. Louis Astronomical Society, St. Louis Science Center, Astronomical Society of Eastern Missouri (ASEM), ArchReactor, and AIAA. We worked hard in 2015 and earned the NSS Chapter of the Year Award for 2015!
A major goal of the chapter is to host an International Space Development Conference (ISDC). To gain experience our chapter hosted a fall regional space development conference, Gateway to Space, on November 7-9, 2014. Gateway to Space 2015 will be held at Boeing on September 26, 2015. We did secure a bid for the ISDC in 2017 and look forward to bringing the conference to St. Louis!


Ocean [an10], ocean, in The Outer Sea
Last updated Turn #134
Ocean [an10], ocean, in The Outer Sea
------------------------------------------------------------------------
14: Captain Kraken [k3k], Imperial Empire, earl, priest of the Church of
14: Halon [157], with 50 nazgul, arrived from the west, accompanied by:
14: Phantom III [d6x], Imperial Empire, priest of the Church of
14: Dol [153], with 17 nazgul
14: Veejay [v8j], Imperial Empire, Bishop of the Church of Ham [155],
14: with five angels
14: Goon III [b9v], Imperial Empire, Bishop of the Church of Dol [153],
14: with five angels, 54 hvy. xbowmen, six nazgul
14: Lord Rodrigo Bane [c8b], Imperial Empire, priest of the Church of
14: Dol [153], with ten workers, 50 hvy. xbowmen, five nazgul
14: Licia [i1l], Imperial Empire, Bishop of the Church of Ham [155],
14: with five angels, 50 hvy. xbowmen
14: Odin [y5z], Imperial Empire, with 55 hvy. xbowmen
14: Thorg [j8u], Imperial Empire, with one warmount
14: Jupiter [m8j], Imperial Empire, duke, the High Priest of the Church
14: of Halon [157], with ten angels, 52 hvy. xbowmen
14: Dryeth [q4e], Imperial Empire, priest of the Church of Dol [153],
14: with 14 nazgul
14: Firefly [f3f], Imperial Empire, priest of the Church of
14: Halon [157], with 50 hvy. xbowmen
14: Sunwalker [a8x], Imperial Empire, earl, Bishop of the Church of
14: Halon [157], with five angels, 40 nazgul
14: Thomas [o5y], Imperial Empire, priest of the Church of Dol [153],
14: with 52 hvy. xbowmen, five nazgul
14: Alexei Galantor [j7l], Imperial Empire, earl, priest of the Church
14: of Halon [157], with 53 nazgul
14: Sir Peter [u9p], Imperial Empire, with 37 peasants
14: George [p7f], Imperial Empire, earl, priest of the Church of
14: Dol [153], with 31 nazgul
14: Lucca [h0t], Imperial Empire, priest of the Church of Halon [157],
14: with 49 nazgul, ten peasants
14: Johny [w2d], Imperial Empire, priest of the Church of Halon [157]
14: Osmosis [o2n], Imperial Empire, priest of the Church of
14: Halon [157], with 43 nazgul
14: Stefano [t8e], Imperial Empire, Bishop of the Church of
14: Halon [157], with five angels, 50 nazgul
14: Sir Andrew [v9a], Imperial Empire, priest of the Church of
14: Halon [157], with 50 nazgul, four skirmishers, one soldier
14: Sir Charles [j5r], Imperial Empire, priest of the Church of
14: Halon [157], with 50 nazgul, four skirmishers, one soldier
15: Captain Kraken [k3k], Imperial Empire, earl, priest of the Church of
15: Halon [157], with 50 nazgul, went east, accompanied by:
15: Phantom III [d6x], Imperial Empire, priest of the Church of
15: Dol [153], with 18 nazgul
15: Veejay [v8j], Imperial Empire, Bishop of the Church of Ham [155],
15: with five angels
15: Goon III [b9v], Imperial Empire, Bishop of the Church of Dol [153],
15: with five angels, 54 hvy. xbowmen, six nazgul
15: Lord Rodrigo Bane [c8b], Imperial Empire, priest of the Church of
15: Dol [153], with ten workers, 50 hvy. xbowmen, five nazgul
15: Licia [i1l], Imperial Empire, Bishop of the Church of Ham [155],
15: with five angels, 50 hvy. xbowmen
15: Odin [y5z], Imperial Empire, with 55 hvy. xbowmen
15: Thorg [j8u], Imperial Empire, with one warmount
15: Jupiter [m8j], Imperial Empire, duke, the High Priest of the Church
15: of Halon [157], with ten angels, 52 hvy. xbowmen
15: Dryeth [q4e], Imperial Empire, priest of the Church of Dol [153],
15: with 15 nazgul
15: Firefly [f3f], Imperial Empire, priest of the Church of
15: Halon [157], with 50 hvy. xbowmen
15: Sunwalker [a8x], Imperial Empire, earl, Bishop of the Church of
15: Halon [157], with five angels, 40 nazgul
15: Thomas [o5y], Imperial Empire, priest of the Church of Dol [153],
15: with 52 hvy. xbowmen, five nazgul
15: Alexei Galantor [j7l], Imperial Empire, earl, priest of the Church
15: of Halon [157], with 53 nazgul
15: Sir Peter [u9p], Imperial Empire, with 37 peasants
15: George [p7f], Imperial Empire, earl, priest of the Church of
15: Dol [153], with 31 nazgul
15: Lucca [h0t], Imperial Empire, priest of the Church of Halon [157],
15: with 49 nazgul, ten peasants
15: Johny [w2d], Imperial Empire, priest of the Church of Halon [157]
15: Osmosis [o2n], Imperial Empire, priest of the Church of
15: Halon [157], with 43 nazgul
15: Stefano [t8e], Imperial Empire, Bishop of the Church of
15: Halon [157], with five angels, 50 nazgul
15: Sir Andrew [v9a], Imperial Empire, priest of the Church of
15: Halon [157], with 50 nazgul, three skirmishers, two soldiers
15: Sir Charles [j5r], Imperial Empire, priest of the Church of
15: Halon [157], with 50 nazgul, three skirmishers, two soldiers
Routes leaving Ocean:
North, to Ocean [am10], 6 days
East, to Ocean [an11], 6 days
South, to Ocean [ao10], 6 days
West, to Ocean [an09], 6 days


class: center, middle, inverse, title-slide # 1.7 — Price Elasticity ## ECON 306 • Microeconomic Analysis • Spring 2021 ### Ryan Safner
Assistant Professor of Economics
<EMAIL_ADDRESS>ryansafner/microS21
microS21.classes.ryansafner.com
--- class: inverse # Outline ### [Price Elasticity of Demand](#3) ### [Price Elasticity of Demand and Revenues](#16) ### [Summing Up Unit 1](#32) --- class: inverse, center, middle # Price Elasticity of Demand --- # Price Elasticity of Demand .pull-left[ - .hi[Price elasticity of demand] measures *how much* (in %) quantity demanded changes in response to a (1%) change in price `$$\epsilon_{q_D,p} = \frac{\% \Delta q_D}{\% \Delta p}$$` ] .pull-right[ .center[ ![:scale 100%](https://www.dropbox.com/s/uuajn64cnex5uru/elastic.jpg?raw=1) ] ] --- # Price Elasticity of Demand: Elastic vs. Inelastic `$$\epsilon_{q_D,p} = \frac{\% \Delta q_D}{\% \Delta p}$$` | | .hi["Elastic"] | "Unit Elastic" | .hi["Inelastic"] | |-----------------|-----------|----------------|------------| | **Intuitively**: | **Large** response | Proportionate response | **Little** response | | **Mathematically**: | `\(\vert \epsilon_{q_D,p}\vert > 1\)` | `\(\vert \epsilon_{q_D,p}\vert = 1\)` | `\(\vert \epsilon_{q_D,p} \vert < 1\)` | | | Numerator `\(>\)` Denominator | Numerator `\(=\)` Denominator | Numerator `\(<\)` Denominator | | **A 1% p-change** | **More than 1%** change in `\(q_D\)` | **1%** change in `\(q_D\)` | **Less than 1%** change in `\(q_D\)` | --- # Visualizing Price Elasticity of Demand .center[ An identical 50% price cut on an: ] .pull-left[ .center[ .smallest[ "Inelastic" Demand Curve ] ]  ] .pull-right[ .center[ .smallest[ "Elastic" Demand Curve ] ]  ] --- # Price Elasticity of Demand Formula .pull-left[ `$$\epsilon_{q_D,p} = \frac{\% \Delta q_D}{\% \Delta p}$$` ] .pull-right[ .center[ ![:scale 100%](https://www.dropbox.com/s/uuajn64cnex5uru/elastic.jpg?raw=1) ] ] --- # Price Elasticity of Demand Formula .pull-left[ `$$\epsilon_{q,p} = \frac{\% \Delta q}{\% \Delta p} = \cfrac{\left(\frac{\Delta q}{q}\right)}{\left(\frac{\Delta p}{p}\right)}$$` ] .pull-right[ .center[ ![:scale 100%](https://www.dropbox.com/s/uuajn64cnex5uru/elastic.jpg?raw=1) ] ] --- # Price Elasticity of Demand Formula .pull-left[ `$$\epsilon_{q,p} = \frac{\% \Delta q}{\% \Delta p} = \cfrac{\left(\frac{\Delta q}{q}\right)}{\left(\frac{\Delta p}{p}\right)} = \frac{\Delta q}{\Delta p} \times \frac{p}{q}$$` ] .pull-right[ .center[ ![:scale 100%](https://www.dropbox.com/s/uuajn64cnex5uru/elastic.jpg?raw=1) ] ] --- # Price Elasticity of Demand Formula .pull-left[ `$$\epsilon_{q,p} = \color{magenta}{\frac{\Delta q}{\Delta p}} \times \color{teal}{\frac{p}{q}}$$` - .pink[First term]: *direction* of the effect - This is the .hi[price effect]! - Always *negative*! - .turquoise[Second term]: *magnitude* of the effect - Will change depending on `\(p\)` and `\(q\)` ] .pull-right[ .center[ ![:scale 100%](https://www.dropbox.com/s/uuajn64cnex5uru/elastic.jpg?raw=1) ] ] --- # Price Elasticity of Demand Formula .pull-left[ `$$\epsilon_{q,p} = \frac{\Delta q}{\Delta p} \times \frac{p}{q}$$` - You've learned .hi-purple["arc"]-price elasticity using the .hi-purple["midpoint formula"] between 2 points - This is a more general formula, we can find the .hi-purple[elasticity at any *one* point]! - We can actually simplify this even more...does the first term remind you of anything? ] .pull-right[ .center[ ![:scale 100%](https://www.dropbox.com/s/uuajn64cnex5uru/elastic.jpg?raw=1) ] ] --- # Price Elasticity of Demand Formula .pull-left[ `$$\color{red}{\mathbf{\epsilon_{q,p}} = \mathbf{\frac{1}{slope} \times \frac{p}{q}}}$$` - First term is actually the inverse of the slope of the inverse demand curve (that we graph)! - To find the elasticity at any point, we need 3 things: 1. The price 2. The associated quantity demanded 3. The slope of (inverse) demand ] .pull-right[ .center[ ![:scale 100%](https://www.dropbox.com/s/uuajn64cnex5uru/elastic.jpg?raw=1) ] ] --- # Example .content-box-green[ .green[**Example**]: The demand for movie tickets in a small town is given by: `$$q=1000-50p$$` ] 1. Find the inverse demand function. 2. What is the price elasticity of demand at a price of $5.00? 3. What is the price elasticity of demand at a price of $12.00? 4. At what price is demand unit elastic (i.e. `\(\epsilon{q,p=-1})\)`? --- # Price Elasticity Changes Along the Demand Curve .pull-left[  ] .pull-right[ `$$\epsilon_{q,p} = \mathbf{\frac{1}{slope} \times \frac{p}{q}}$$` - **Elasticity `\(\neq\)` slope** (but they are related)! - .hi-purple[Price elasticity changes along the demand curve] - Gets *less* elastic as `\(\downarrow\)` price `\((\uparrow\)` quantity ) - `\(\frac{1}{slope}\)` is constant - `\(\frac{p}{q}\)` gets smaller as `\(\downarrow p\)` and `\(\uparrow q\)` ] --- # Determinants of Price Elasticity of Demand .pull-left[ .smallest[ .hi-purple[What determines how responsive your buying behavior is to a price change?] - More (fewer) .hi[substitutes] `\(\implies\)` more (less) elastic - Larger categories of products (less elastic) vs. specific brand (more elastic) - .hi[Necessities] (less elastic) vs. .hi[luxuries] (more elastic) - Large (more elastic) vs. small (less elastic) .hi[portion of budget] - More (less) .hi[time to adjust] `\(\implies\)` more (less) elastic ] ] .pull-right[ .center[ ![:scale 100%](https://www.dropbox.com/s/uuajn64cnex5uru/elastic.jpg?raw=1) ] ] --- class: inverse, center, middle # Price Elasticity of Demand and Revenues --- # Price Elasticity of Demand and Revenues .pull-left[ .smallest[ - Price elasticity of demand is closely related to .hi[Revenues `\\((R)\\)`].magenta[†] `$$R(q)=pq$$` ] ] .pull-right[ .center[ ![](https://www.dropbox.com/s/d95invtrr7ihfu2/revenues.jpg?raw=1) ] .footnote[.magenta[†] From the buyer’s side, this is .hi[total expenditures].] ] --- # Price Elasticity of Demand and Revenues .pull-left[ .smallest[ - Price elasticity of demand is closely related to .hi[Revenues `\\((R)\\)`].magenta[†] `$$R(q)=pq$$` | Demand is | `\(\Delta R\)` and `\(\Delta p\)` | |-----------------------:|---------------------------| | Elastic `\(\vert \epsilon \vert > 1\)` | p & R change **opposite** | | Unit Elastic `\(\vert \epsilon \vert = 1\)` | R **maximized** | | Inelastic `\(\vert \epsilon \vert < 1\)` | p & R change **together** | ] ] .pull-right[ .center[ ![](https://www.dropbox.com/s/d95invtrr7ihfu2/revenues.jpg?raw=1) ] .footnote[.magenta[†] From the buyer’s side, this is .hi[total expenditures].] ] --- # Price Elasticity of Demand and Revenues .pull-left[ .smallest[ - Price elasticity of demand is closely related to .hi[Revenues `\\((R)\\)`].magenta[†] `$$R(q)=pq$$` | Demand is | `\(\Delta R\)` and `\(\Delta p\)` | |-----------------------:|---------------------------| | Elastic `\(\vert \epsilon \vert > 1\)` | p & R change **opposite** | | Unit Elastic `\(\vert \epsilon \vert = 1\)` | R **maximized** | | Inelastic `\(\vert \epsilon \vert < 1\)` | p & R change **together** | ] ] .pull-right[ .center[ ![](https://www.dropbox.com/s/au0lycfr7cghr9f/badtime.jpg?raw=1) ] ] --- # Revenues: Example I  --- # Revenues: Example I  --- # Revenues: Example II  --- # Revenues: Example II  --- # Visualizing Price Elasticity of Demand and Revenues .pull-left[ .center[ .smallest[ "Inelastic" Demand Curve (Agricultural Products) ] ]  ] .pull-right[ .center[ .smallest[ "Elastic" Demand Curve (Computer Chips) ] ]  ] --- # Price Elasticity and Revenues .pull-left[ .tiny[ `$$R(q)=pq$$` | `\(q\)` | `\(p\)` | `\(R(q)\)` | |----:|----:|----:| | 0 | 10 | 0 | | 1 | 9 | 9 | | 2 | 8 | 16 | | 3 | 7 | 21 | | 4 | 6 | 24 | | **5** | **5** | **25** | | 6 | 4 | 24 | | 7 | 3 | 21 | | 8 | 2 | 16 | | 9 | 1 | 9 | | 10 | 0 | 0 | ] ] .pull-right[   .hi-purple[Revenue max'ed at price where `\\(\epsilon = - 1\\)`] ] --- # Price Elasticity and Revenues: Example I .pull-left[ .center[ ![:scale 80%](https://www.dropbox.com/s/ocf4pojybur3fy6/buildabearelasticity.png?raw=1) Source: [CNN (July 2, 2018)](https://www.cnn.com/2018/07/12/us/build-a-bear-lines/) ] ] .pull-right[ > "Build-A-Bear announced its Pay Your Age event earlier this week. Customers who show up to the stores can pay their current age for the popular stuffed animals. On Wednesday, the retailer wrote on its Facebook page that it was 'anticipating potential of long lines and wait times.'" ] --- # Price Elasticity and Revenues: Example II .pull-left[ .center[ ![:scale 80%](https://www.dropbox.com/s/wt77kiwckzgcvbx/superbowlelasticity.png?raw=1) Source: [Wall Street Journal (Feb 3, 2019)](https://www.wsj.com/articles/as-nfl-courts-fans-in-stands-atlanta-is-king-11549201747) ] ] .pull-right[ .smallest[ "While leaguewide average attendance dropped .43% this season to its lowest level since 2010, Atlanta’s attendance rose for the second season. Mercedes-Benz Stadium and the Falcons have become the model for drawing fans and keeping them happy." "Instead of charging elevated sums—a long-held industry practice that fans despised—the Falcons would price most of its food at what it sold for on the street...**Prices plunged 50%.** Fans rejoiced. **Although the team made less money on each $2 hot dog it sold, it made more overall.** Average fan spending per game rose 16%. Atlanta’s food services, which ranked 18th in the NFL in the 2016 annual league survey, shot up to No. 1 in 2017 in every metric—and by a wide margin." ] ] --- # Price Elasticity and Revenues: Example III .center[ ![:scale 58%](https://www.dropbox.com/s/kt3p7xjxjo72hkj/warondrugselasticity.png?raw=1) Cowen & Tabarrok (2014: p.75) ] --- # Price Elasticity and Revenues: Example IV .center[  ] --- # Price Elasticity and Automation I .pull-left[ - Will capital and automation replace all jobs? .center[ ![](https://www.dropbox.com/s/hpixa8v13qjoje7/weaving.jpg?raw=1) Women in a flax mill in 1840 Leeds, England during the Industrial Revolution ] ] .pull-right[  ] --- # Price Elasticity and Automation II .pull-left[ .center[ ![](https://www.dropbox.com/s/vkaid1s5gh9s6op/atm.jpg?raw=1) ] ] .pull-right[ .center[ ![](https://www.dropbox.com/s/1rjy5sjjgmjzv5s/bankteller.jpg?raw=1) ] ] --- class: inverse, center, middle # Summing Up Unit 1 --- # Models of Individual Choice I .pull-left[ .center[ ![](https://www.dropbox.com/s/0lqg3hlsufnmv72/modelseconomics.jpg?raw=1) ] ] .pull-right[ > "All models are lies. The art is telling useful lies." - George Box - Remember, we're not modelling the **process** by which people **actually** choose - We're **predicting consequences** (in people's choices) when **parameters change** ] --- # Models of Individual Choice II .pull-left[ - Constrained optimization models are the **main** workhorse model in economics - All constrained optimization models have three moving parts: 1. **Choose:** .blue[ < some alternative >] 2. **In order to maximize:** .green[< some objective >] 3. **Subject to:** .red[< some constraints >] ] .pull-right[ .center[ ![:scale 100%](https://www.dropbox.com/s/qvr240t5j6t3arm/optimize.jpeg?raw=1) ] ] --- # Models of Individual Choice III .center[ ![:scale 82%](https://www.dropbox.com/s/bqb48eg20ld6li9/cooleconbooks.png?raw=1) ] --- # Applications of Consumer Theory - See today's [class notes page](/content/1.7-content) for some applications of consumer theory: 1. **Uncertainty**: risky outcomes & insurance 2. **Exchange**: two individuals trading their endowments, general equilibrium, & Pareto efficiency 3. **Taxes**: Which is better for consumers, a consumption tax or a (revenue-equivalent) income tax? 4. **Intertemporal choice**: saving, borrowing, lending, & interest


The AMC 304 uses a cast iron block and heads with over head valves
and hydraulic lifters. The AMC 304 was introduced in Jeep vehicles
in 1971 in J-series pickups and Wagoneers and in 1972 in the CJ
vehicles. Early 304s performed well, so well that frame changes
were made to the CJs in '73 to prevent cracks.
Meeting legal requirements
for smog controls on the 304 severely hurt performance of the engine.
The last two years of the 304 in the CJ were in '80-'81. The horse
power and torque specifications of the last version of the 304
narrowly beat the 258 use at this time. The 258 used between
'80 and '81 was putting out 110 HP @ 3500 and 195 ft/lbs @ 2000.
The 304 used from '80-'81 in CJs, J-series pickups, and
Wagoneers suffers in performance.
| AMC 304 V8 |
| Bore x Stroke | 3.75" x 3.44" |
| Displacement | 304(4.98L) |
| Compression Ratio | 8.4:1 |
| Horsepower (net) | 125@3200 |
| Torque (net) | 220@2400 |
| Main Bearings | 5 |
| Valve Configuration | OHV |
| Fuel | 2bbl |
The '79 304 saw a significant drop in horse power from previous
years.
| AMC 304 V8 |
| Bore x Stroke | 3.75" x 3.44" |
| Displacement | 304(4.98L) |
| Compression Ratio | 8.4:1 |
| Horsepower (net) | 130@4200 |
| Torque (net) | 245@2500 |
| Main Bearings | 5 |
| Valve Configuration | OHV |
| Fuel | 2bbl |
The 304 used from '72-'78 has the best performance of all the 304s
used in the CJ. The 304 was not offered in J-series pickups and
Wagoneers after 1972.
| AMC 304 V8 |
| Bore x Stroke | 3.75" x 3.44" |
| Displacement | 304(4.98L) |
| Compression Ratio | 8.4:1 |
| Horsepower (net) | 150@4200 |
| Torque (net) | 245@2500 |
| Main Bearings | 5 |
| Valve Configuration | OHV |
| Fuel | 2bbl |
The ratings for the 304 used in '71 J-series pickups and Wagoneers
are gross ratings.
| AMC 304 V8 |
| Bore x Stroke | 3.75" x 3.44" |
| Displacement | 304(4.98L) |
| Compression Ratio | 8.4:1 |
| Horsepower (gross) | 210@4400 |
| Torque (gross) | 300@2600 |
| Main Bearings | 5 |
| Valve Configuration | OHV |
| Fuel | 2bbl |
Contributors
Photos courtesy Brian Coday


In this article, we are going to explain what is virtual environment in python and why do we need it. Also, we will show you how to set up a virtual environment and introduce basic commands.
This posting is one of a series of tips for developing python following the previous post.
This post was written with reference to the following materials.
What is Virtual-Env & Why Do We Need it?
Python virtual environment is an isolated environment for a Python project. This allows each project can have its own dependencies, regardless of what dependencies every other project has [1].
This provides the advantage of being able to build each development environment for multiple projects on one local PC. For an example, Figure 1. shows how one can manage virtual environments for serveral projects. More specifically, it shows how to manage each python projection for a web app that uses a different version of the Django package.
Basic Virtual-Env Usages
There are two ways to set up and manage virtual envoronment, pip and anaconda. In this article, we will explain how to set up and manage virtual envoronment using anaconda.
Anaconda is a package manager, an environment manager, a Python/R data science distribution, and a collection of over 7,500+ open-source packages [3]. Through this, we can set up and manage a virtual emvironment for each projects.
We will introduce basic anaconda usages. For more details, you can refer to the following Documentation or Cheat-Sheet.
We can create a new virtual environment with the following commands and manage packages in the corresponding virtual environment for each project.
- Create a new virtual environmnet
$ conda create --name ENVNAME
- Activate a named environment
$ conda activate ENVNAME
- Install a package
$ conda install PKGNAME
- Deactivate current environment
$ conda deactivate ENVNAME
And, we can clearly provide the dependency for the project to other developers through the following commands.
- Exporting the envname.yml
$ conda env export --name ENVNAME > envname.yml
Finally, we can create a virtual environment that matches the developer’s development environment on our local PC through the envname.yml.
- Creating an environment from an envname.yml
$ conda env create --file envname.yml
Reference
[1] Real Python, “Python Virtual Environments: A Primer,” Real Python, 17-Jul-2020. [Online]. Available: https://realpython.com/python-virtual-environments-a-primer/. [Accessed: 05-Jan-2021].
[2] S. Shakya, “Virtual Environment in Python,” Medium, 02-May-2019. [Online]. Available: https://medium.com/incwell-bootcamp/virtual-environment-in-python-54db665b9939. [Accessed: 05-Jan-2021].
[3] “Anaconda Individual Edition¶,” Anaconda Individual Edition - Anaconda documentation. [Online]. Available: https://docs.anaconda.com/anaconda/. [Accessed: 05-Jan-2021].


1: <?php
2:
3: /*
4: * This file is part of the Passbook package.
5: *
6: * (c) Eymen Gunay<EMAIL_ADDRESS>7: *
8: * For the full copyright and license information, please view the LICENSE
9: * file that was distributed with this source code.
10: */
11:
12: namespace Passbook\Pass;
13:
14: use JMS\Serializer\Annotation\SerializedName;
15:
16: /**
17: * Image
18: *
19: * Must be one of the following values:
20: * background - The image displayed as the background of the front of the pass.
21: * footer - The image displayed on the front of the pass near the barcode.
22: * icon - The pass’s icon. This is displayed in notifications and in emails that have a pass attached, and on the lock screen.
23: * logo - The image displayed on the front of the pass in the top left.
24: * strip - The image displayed behind the primary fields on the front of the pass.
25: * thumbnail - An additional image displayed on the front of the pass. For example, on a membership card, the thumbnail could be used to a picture of the cardholder.
26: *
27: * @author Eymen Gunay<EMAIL_ADDRESS>28: */
29: class Image extends \SplFileObject implements ImageInterface
30: {
31: /**
32: * Image context. Must be one of the following values:
33: * thumbnail, icon, background, logo, footer, strip
34: * @var string
35: */
36: protected $context;
37:
38: /**
39: * All of the pass’s images are loaded using standard UIImage image-loading methods.
40: * This means, for example, the file name of high resolution version of the image ends with @2x.png.
41: * @SerializedName(value="isRetina")
42: * @var bool
43: */
44: protected $isRetina;
45:
46: public function __construct($filename, $context)
47: {
48: // Call parent
49: parent::__construct($filename);
50: // Pass image context
51: $this->setContext($context);
52: }
53:
54: /**
55: * {@inheritdoc}
56: */
57: public function setContext($context)
58: {
59: $this->context = $context;
60: return $this;
61: }
62:
63: /**
64: * {@inheritdoc}
65: */
66: public function getContext()
67: {
68: return $this->context;
69: }
70:
71: /**
72: * {@inheritdoc}
73: */
74: public function setIsRetina($isRetina)
75: {
76: $this->isRetina = $isRetina;
77: return $this;
78: }
79:
80: /**
81: * {@inheritdoc}
82: */
83: public function getIsRetina()
84: {
85: return $this->isRetina;
86: }
87: }


Decentralize everything is our vision.
We make the building blocks for modern decentralized societies.
Our free and open-source software can be adopted to make existing systems permanently unnecessary.
If you're building a free city or intentional community, or modernizing existing society, we can help you.


Micro-controllers have GPIO (General Purpose Input / Ouput) pins that can be used by the micro-controller application software to interface with hardware external to the micro-controller in a very basic way.
A GPIO pin can - under software control - be configure to be either an input or an output. When configured as input, its level (high or low) can be read by the software. When configured as output, the software can write a level to the pin.
In hwlib, four (abstract) types of pin objects are defined:
Each target provides (concrete) classes for each of the four types of pins.
Micro-controller hardware groups their GPIO pins into ports. A pin can be constructed by specifying the port and the pin number within the port.
Boards (like the Arduino Uno) often have names for their pins. Those names are often totally unrelated to the port and pins of the micro-controller on the board. A pin can be constructed by specifying the board-specific pin name (or pin function, like 'led' or 'scl').
The next tables shows the operations that are available for each type of pin.
| pin type | reading | writing | direction control |
|---|---|---|---|
| in | refresh(), read() | ||
| out | write(), write() | ||
| in_out | refresh(), read() | write(), write() | direction_set_input(), direction_set_output(), direction_flush() |
| oc | refresh(), read() | write(), write() |
A read() returns a bool, a write() accepts a bool. The other calls take no parameters and return void.
For an in_out pin the direction must be set to input before a read() is done, and to output before a write() is done.
As shown in the examples, a read() should be preceded by a refresh(), a write should be followed by a flush(), and a direction change should be followed by a direction_flush(), as explained in the page on buffering.
Pin operations (read, write, direction_set_input, direction_set_output) are (potentially) buffered.
The direct() creator function can be used to create a pin that has read(), write() and direction_set_*() operations with direct effect.
The hwlib::invert invert() function constructs a new pin from an existing one. When a value is written to this new pin, the inverse of this value is written to the old pin. Likewise, when a value is read from the new pin, the value is the inverse of the value read from the old pin. The new pin is of the same type (in, out, in_out, oc) as the existing one from which it was created.
Conversion functions are available that create a pin of one type from one of another type. Of course, not all such conversions are possible.
| function | accepted pin types |
|---|---|
| pin_in_from( pin ) | in, in_out, oc |
| pin_out_from( pin ) | out, in_out, oc |
| pin_in_out_from( pin ) | in_out, oc |
| pin_oc_from( pin ) | in_out, oc |
The overloaded all() function creates a single out pin from up to 16 out pins. Writing a value to the single pin writes the value to all pin that it was constructed from, and similarly flushing the single pin flushes all pins it was constructed from.
Some pins have pull-up and/or pull-down resistors that can be enabled and disabled under software control. If so, such pins provide these functions:
Unlike other pin functionality, these functions operate directly (they have no corresponding flush() functions).


Portions of this slide deck are original. Portions have been adapted, with permission, from Databricks training material.
NewCircle will be running a public Spark Foundations course here in Philadelphia, November 3 through November 5. (I'll be teaching it.)
If you're interested, you can find more information here: http://tinyurl.com/spark-philly-11-3 (I also have a discount code for anyone who wants to register.)


Active Scan Rules - alpha
The following alpha quality active scan rules are included in this add-on:
Cookie Slack Detector
Tests cookies to detect if some have no effect on response size when omitted, especially cookies containing the name "session" or "userid"
Example File Active Scanner
This implements an example active scan rule that loads strings from a file that the user can edit.
For more details see: http://zaproxy.blogspot.co.uk/2014/04/hacking-zap-4-active-scan-rules.html
Example Simple Active Scanner
This implements a very simple example active scan rule.
For more details see: http://zaproxy.blogspot.co.uk/2014/04/hacking-zap-4-active-scan-rules.html
Expression Language Injection
The software constructs all or part of an expression language (EL) statement in a Java Server Page (JSP) using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended EL statement before it is executed. In certain versions of Spring 3.0.5 and earlier, there was a vulnerability (CVE-2011-2730) in which Expression Language tags would be evaluated twice, which effectively exposed any application to EL injection. However, even for later versions, this weakness is still possible depending on configuration.
Integer Overflow Error
Looks for indicators of integer overflows in compiled code that causes the web server to crash. It does
this by putting out multiple strings of integers designed to try and stimulate bad responses.
Source Code Disclosure - File Inclusion
Uses local file inclusion techniques to scan for files containing source code on the web server.
Source Code Disclosure - Git
Uses Git source code repository metadata to scan for files containing source code on the web server.
HTTPS As HTTP Scanner
This active scanner attempts to access content that was originally accessed via HTTPS (SSL/TLS) via HTTP.
User Agent Fuzzer
This active scanner checks for differences in response based on fuzzed User Agent (eg. mobile sites, access as a Search Engine Crawler). The scanner compares the response statuscode and the hashcode of the response body with the original response.


api.datasources.virtual_datasources package¶
Submodules¶
api.datasources.virtual_datasources.cylindrical_projection module¶
-
class
api.datasources.virtual_datasources.cylindrical_projection.
FlirCylindricalProjection
(reference_sensor: str, dependencies: list, radius=50.0, fov_h=3.6651914291880923, fov_v=1.1780972450961724, image_h=2000, image_v=500, fusion_overlap_ratio=0.25)¶ Bases:
pioneer.das.api.datasources.virtual_datasources.virtual_datasource.VirtualDatasource
Merges the images of three cameras in a single one.
-
__getitem__
(key)¶
-
__init__
(reference_sensor: str, dependencies: list, radius=50.0, fov_h=3.6651914291880923, fov_v=1.1780972450961724, image_h=2000, image_v=500, fusion_overlap_ratio=0.25)¶ Constructor :param reference_sensor: The name of the central camera (e.g. ‘flir_bfc’). :type reference_sensor: str :param dependencies: A list of the image datasource names from left to right.
(e.g. [‘flir_bfl_img’,’flir_bfc_img’,’flir_bfr_img’])
-
api.datasources.virtual_datasources.echoes_from_traces module¶
-
class
api.datasources.virtual_datasources.echoes_from_traces.
Echoes_from_Traces
(reference_sensor: str, dependencies: list, nb_detections_max: int = 3, min_amplitude: float = 0)¶ Bases:
pioneer.das.api.datasources.virtual_datasources.virtual_datasource.VirtualDatasource
Non official implementation of the peak detector. Also measures the widths and the skews for each echo.
-
__getitem__
(key: Any)¶
-
__init__
(reference_sensor: str, dependencies: list, nb_detections_max: int = 3, min_amplitude: float = 0)¶ Constructor :param reference_sensor: The name of the sensor (e.g. ‘pixell_bfc’). :type reference_sensor: str :param dependencies: A list of the datasource names.
The only element should be a Trace datasource (e.g. ‘pixell_bfc_ftrr’)
- Parameters
nb_detections_max (int) – The maximum number of echoes per waveform.
min_amplitude (float) – Amplitude threshold under which the echoes are filtered out.
-
get_at_timestamp
(timestamp)¶ Default implementation
-
get_echoes
(processed_traces)¶
-
get_echoes_from_fast_traces
(processed_fast_traces)¶
-
initialize_local_cache
(data)¶
-
api.datasources.virtual_datasources.echoes_with_pulses module¶
-
class
api.datasources.virtual_datasources.echoes_with_pulses.
EchoesWithPulses
(reference_sensor: str, dependencies: list, pulse_sample_size: int = 10, zero_baseline: bool = True)¶ Bases:
pioneer.das.api.datasources.virtual_datasources.virtual_datasource.VirtualDatasource
Echoes, with a number of data points from the waveforms corresponding to the pulses that resulted in each echo.
-
__getitem__
(key: Any)¶
-
__init__
(reference_sensor: str, dependencies: list, pulse_sample_size: int = 10, zero_baseline: bool = True)¶ Constructor :param reference_sensor: The name of the sensor (e.g. ‘pixell_bfc’). :type reference_sensor: str :param dependencies: A list of the datasource names.
First element should be an Echo datasource (e.g. ‘pixell_bfc_ech’) Second element should be a Trace datasource (e.g. ‘pixell_bfc_ftrr’)
- Parameters
pulse_sample_size (int) – The number of data points to gather before and after each echo in the waveforms. For example, with pulse_sample_size=10, the pulses will be 21 points, because the highest point is taken in addition to the 10 points before and the 10 points after.
zero_baseline (bool) – If True, the baseline of the waveforms are re-calibrated to be around zero.
-
api.datasources.virtual_datasources.hdr_waveform module¶
-
class
api.datasources.virtual_datasources.hdr_waveform.
HDRWaveform
(reference_sensor: str, dependencies: list)¶ Bases:
pioneer.das.api.datasources.virtual_datasources.virtual_datasource.VirtualDatasource
High Dynamic Range waveforms are created by combining both sets of waveforms from FastTraces.
-
__getitem__
(key: Any)¶
-
__init__
(reference_sensor: str, dependencies: list)¶ Constructor :param reference_sensor: The name of the sensor (e.g. ‘pixell_bfc’). :type reference_sensor: str :param dependencies: A list of the datasource names.
The only element should be a FastTrace datasource (e.g. ‘pixell_bfc_ftrr’)
-
api.datasources.virtual_datasources.virtual_datasource module¶
-
class
api.datasources.virtual_datasources.virtual_datasource.
VirtualDatasource
(ds_type: str, dependencies: List[str], callback: Optional[Callable[[Dict[str, pioneer.das.api.datasources.abstract_datasource.AbstractDatasource], Any], Sample]], timestamps_source=None)¶ Bases:
pioneer.das.api.datasources.abstract_datasource.AbstractDatasource
-
__getitem__
(key)¶
-
__init__
(ds_type: str, dependencies: List[str], callback: Optional[Callable[[Dict[str, pioneer.das.api.datasources.abstract_datasource.AbstractDatasource], Any], Sample]], timestamps_source=None)¶ Constructor :param ds_type: the datasource type, e.g. ‘ech-bbox’ :param dependencies: a list of datasource names used to compute this datasources, e.g. [‘eagle_tfc_ech’, ‘flir_tfc_img’, …]. :param callback: a method that will be called with arguments:
‘datasources’: a dict with dependencies as keys and corresponding datasources as values ‘key’: the argument passed to the virtual datasource’s __getitem__().
- Parameters
timestamps_source – datasource used as timestamps, If None first one dependencies used
-
get_at_timestamp
(timestamp: int)¶ Default implementation
-
get_first_datasource
() → pioneer.das.api.datasources.abstract_datasource.AbstractDatasource¶
-
invalidate_caches
()¶
-
property
label
¶
-
property
timestamps
¶
-
api.datasources.virtual_datasources.voxel_map module¶
-
class
api.datasources.virtual_datasources.voxel_map.
VoxelMap
(reference_sensor: str, dependencies: list, memory: int = 5, skip: int = 1, voxel_size: float = 0.0)¶ Bases:
pioneer.das.api.datasources.virtual_datasources.virtual_datasource.VirtualDatasource
Merges multiple past points clouds in a single one, in the same present referential (mapping). Optionally, the merged point cloud can be voxelized (one averaged point per voxel, or volume unit).
In order to work, the platform needs to have an egomotion_provider.
-
__getitem__
(key: Any)¶
-
__init__
(reference_sensor: str, dependencies: list, memory: int = 5, skip: int = 1, voxel_size: float = 0.0)¶ Constructor :param reference_sensor: The name of the sensor (e.g. ‘pixell_bfc’). :type reference_sensor: str :param dependencies: A list of the datasource names.
The only element should be an echo or point cloud datasource (e.g. ‘pixell_bfc_ech’)
- Parameters
memory (int) – The number of past frames to merge.
skip (int) – If higher than 1, frames will be skipped. For example, with memory=10 and skip=2, the frames N=0,-2,-4,-6,-8,-10 will be merged. The present frame (N=0) is always included.
voxel_size (float) – If greater than 0, the merged point cloud will be voxelized.
-
clear_cache
()¶
-
get_at_timestamp
(timestamp)¶ Default implementation
-
static
stack_point_cloud
(stack, point_cloud)¶
-
voxelize
(pc)¶
-
api.datasources.virtual_datasources.waveform_cloud module¶
-
class
api.datasources.virtual_datasources.waveform_cloud.
WaveformCloud
(reference_sensor: str, dependencies: list, zero_baseline: bool = False, remove_negative_distances: bool = True)¶ Bases:
pioneer.das.api.datasources.virtual_datasources.virtual_datasource.VirtualDatasource
Makes a point cloud from each data point of each waveforms.
-
__getitem__
(key: Any)¶
-
__init__
(reference_sensor: str, dependencies: list, zero_baseline: bool = False, remove_negative_distances: bool = True)¶ Constructor :param reference_sensor: The name of the sensor (e.g. ‘pixell_bfc’). :type reference_sensor: str :param dependencies: A list of the datasource names.
The only element should be a Trace datasource (e.g. ‘pixell_bfc_ftrr’)
- Parameters
zero_baseline (bool) – If True, the baseline of the waveforms are re-calibrated to be around zero.
remove_negative_distances (bool) – If True, the points behind the sensor are filtered out.
-
get_extrema_positions
(sensor, distances, ts, time_base_delays)¶
-


Last updated: 2022-02-12
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library('SampleQC')
source('code/qc03_sims.R')
# where to save?
save_dir = 'output/qc03_sims'
date_tag = '2021-03-02'
seed = 20210302
proj_name = 'sims'
figs_dir = 'manuscript/figures'
# define some parameters
K = 3
df = 5
# what objects to save?
sims_f = sprintf('%s/sims_list_%s.rds', save_dir, date_tag)
qc_ok_f = sprintf('%s/qc_ok_obj_%s.rds', save_dir, date_tag)
qc_out_f = sprintf('%s/qc_out_obj_%s.rds', save_dir, date_tag)
# do same for t-distributed data
proj_name_t = 'sims_t'
sims_t_f = sprintf('%s/sims_list_t_%s.rds', save_dir, date_tag)
qc_ok_t_f = sprintf('%s/qc_ok_obj_t_%s.rds', save_dir, date_tag)
qc_out_t_f = sprintf('%s/qc_out_obj_t_%s.rds', save_dir, date_tag)
# what formats to save?
formats = c('png', 'pdf')
# what figs to save?
outs_ok_uni_f = file.path(save_dir, 'outs_scater_sim_ok_unimodal.%s')
outs_out_uni_f = file.path(save_dir, 'outs_scater_sim_out_unimodal.%s')
outs_ok_mult_f = file.path(save_dir, 'outs_scater_sim_ok_multimodal.%s')
outs_out_mult_f = file.path(save_dir, 'outs_scater_sim_out_multimodal.%s')
comparisons_f1 = file.path(save_dir, 'comparisons_positive.%s')
comparisons_f2 = file.path(save_dir, 'comparisons_negative.%s')
comparisons_pr = file.path(save_dir, 'comparisons_pr.%s')
maha_qqs_f = file.path(save_dir, 'mahalanobis_qq_plot_sim.%s')
pr_by_sample_f = file.path(save_dir, 'pr_curves_by_sample.%s')
pr_overall_f = file.path(save_dir, 'pr_curves_overall.%s')
pr_modal_f = file.path(save_dir, 'pr_curves_by_modality.%s')
per_celltype_bias_abs = file.path(save_dir, 'per_celltype_bias_abs.%s')
per_celltype_bias_p = file.path(save_dir, 'per_celltype_bias_prop.%s')
if (file.exists(sims_f)) {
sims_list = readRDS(sims_f)
} else {
set.seed(seed)
sims_list = simulate_qcs( K = K )
print(sims_list$expt_params$sel_ks)
saveRDS(sims_list, file = sims_f)
}
qc_ok = make_qc_dt(sims_list$qc_ok) %>%
.[, true_group := factor(sims_list$groups) ]
qc_out = make_qc_dt(sims_list$qc_out) %>%
.[, true_group := factor(sims_list$groups) ]
qc_names = sims_list$expt_params$qc_names
if (file.exists(qc_ok_f)) {
qc_ok_obj = readRDS(qc_ok_f)
} else {
set.seed(seed)
qc_ok_obj = calc_pairwise_mmds(qc_ok, qc_names,
annots_disc='true_group', n_times=20, n_cores = 16)
qc_ok_obj = fit_sampleqc(qc_ok_obj, K_list = c(3, 3, 2, 2, 1))
make_sampleqc_report(qc_ok_obj, save_dir, paste0(proj_name, '_ok'))
saveRDS(qc_ok_obj, file=qc_ok_f)
}
if (file.exists(qc_out_f)) {
qc_out_obj = readRDS(qc_out_f)
} else {
set.seed(seed)
qc_out_obj = calc_pairwise_mmds(qc_out, qc_names,
annots_disc = 'true_group', n_cores = 16)
qc_out_obj = fit_sampleqc(qc_out_obj, K_list = c(3, 2, 2, 2, 1), mcd_alpha = 0.2)
make_sampleqc_report(qc_out_obj, save_dir, paste0(proj_name, '_out'))
saveRDS(qc_out_obj, file=qc_out_f)
}
# calc scater outliers
scater_ok = calc_scater_dt(qc_ok)
scater_out = calc_scater_dt(qc_out)
# calc scater outliers
set.seed(seed)
miqc_ok = calc_miqc_dt(qc_ok)
miqc_out = calc_miqc_dt(qc_out)
true_outliers = calc_true_outliers(sims_list)
perf_by_celltype = calc_perf_by_celltype(qc_out_obj, scater_out, miqc_out,
true_outliers)
# calc values per cell for scater and sampleqc
scater_pr_dt = calc_scater_pr_dt(qc_out)
miqc_pr_dt = calc_miqc_pr_dt(miqc_out)
sampleqc_pr_dt = calc_sampleqc_pr_dt(qc_out_obj)
pr_by_sample = calc_pr_by_sample(scater_pr_dt, miqc_pr_dt,
sampleqc_pr_dt, true_outliers)
pr_overall = calc_pr_overall(scater_pr_dt, miqc_pr_dt,
sampleqc_pr_dt, true_outliers)
pr_by_modality = calc_pr_by_modality(scater_pr_dt, miqc_pr_dt,
sampleqc_pr_dt, true_outliers)
default_cuts = make_default_cuts(qc_out_obj)
cuts_by_sample = calc_cutpoints(pr_by_sample, default_cuts, by_what = 'sample_id')
cuts_overall = calc_cutpoints(pr_overall, default_cuts, by_what = 'overall')
cuts_by_modal = calc_cutpoints(pr_by_modality, default_cuts, by_what = 'modal')
if (file.exists(sims_t_f)) {
sims_list_t = readRDS(sims_t_f)
} else {
set.seed(seed)
sims_list_t = simulate_qcs( K = K, df = df )
print(sims_list_t$expt_params$sel_ks)
saveRDS(sims_list_t, file = sims_t_f)
}
qc_out_t = make_qc_dt(sims_list_t$qc_out) %>%
.[, true_group := factor(sims_list_t$groups) ]
if (file.exists(qc_out_t_f)) {
qc_out_t_obj = readRDS(qc_out_t_f)
} else {
set.seed(seed)
qc_out_t_obj = calc_pairwise_mmds(qc_out_t, qc_names,
annots_disc = 'true_group', n_cores = 3)
qc_out_t_obj = fit_sampleqc(qc_out_t_obj, K_list = c(3, 2, 2, 1),
mcd_alpha = 0.2, n_cores = 3)
make_sampleqc_report(qc_out_t_obj, save_dir, paste0(proj_name_t, '_out'))
saveRDS(qc_out_t_obj, file = qc_out_t_f)
}
# run both other methods
scater_out_t = calc_scater_dt(qc_out_t)
set.seed(seed)
miqc_out_t = calc_miqc_dt(qc_out_t)
# run both other methods
true_outliers_t = calc_true_outliers(sims_list_t)
# calc values per cell for scater and sampleqc
scater_pr_dt_t = calc_scater_pr_dt(qc_out_t)
miqc_pr_dt_t = calc_miqc_pr_dt(miqc_out_t)
sqc_pr_dt_t = calc_sampleqc_pr_dt(qc_out_t_obj)
pr_by_sample_t = calc_pr_by_sample(scater_pr_dt_t, miqc_pr_dt_t,
sqc_pr_dt_t, true_outliers_t)
default_cuts_t = make_default_cuts(qc_out_t_obj)
cuts_t = calc_cutpoints(pr_by_sample_t, default_cuts_t,
by_what = 'sample_id')
prs_joined = rbind(
copy(pr_by_sample) %>% .[, model := 'normal'],
copy(pr_by_sample_t) %>% .[, model := sprintf('t (df = %d)', df)]
)
cuts_joined = rbind(
copy(cuts_by_sample) %>% .[, model := 'normal'],
copy(cuts_t) %>% .[, model := sprintf('t (df = %d)', df)]
)
print(sims_list$expt_params$sel_ks)
[,1] [,2] [,3]
[1,] TRUE FALSE FALSE
[2,] TRUE TRUE FALSE
[3,] TRUE TRUE TRUE
[4,] TRUE FALSE TRUE
# define what to use and annotate
group_list = metadata(qc_out_obj)$group_list
n_groups = metadata(qc_out_obj)$n_groups
Heatmap of all pairwise dissimilarities between samples (values close to 0 indicate similar samples; values of 1 and higher indicate extremely dissimilar samples).
(plot_mmd_heatmap(qc_out_obj))
| Version | Author | Date |
|---|---|---|
| 257196d | markrobinsonuzh | 2021-08-24 |
plot_embeddings(qc_out_obj, "discrete", "UMAP")
| Version | Author | Date |
|---|---|---|
| 257196d | markrobinsonuzh | 2021-08-24 |
plot_embeddings(qc_out_obj, "continuous", "UMAP")
plot_embeddings(qc_out_obj, "discrete", "MDS")
| Version | Author | Date |
|---|---|---|
| 257196d | markrobinsonuzh | 2021-08-24 |
plot_embeddings(qc_out_obj, "continuous", "MDS")
SampleQC
model fits and outliers over QC
biaxialsfor (g in group_list) {
cat('### ', g, '{.tabset}\n')
# which samples?
samples_g = sort(colData(qc_out_obj)$sample_id[ colData(qc_out_obj)$group_id == g ])
# # just do a handful
# samples_g = sample(samples_g, min(5, length(samples_g))) %>% sort
for (s in samples_g) {
cat('#### ', s, ' \n')
g_fit = plot_fit_over_biaxials(qc_out_obj, s)
g_out = plot_outliers(qc_out_obj, s)
g = g_fit / g_out
print(g)
cat('\n\n')
}
}
s = 'sample04'
# with no outliers
g = plot_sampleqc_vs_others_over_biaxials(qc_ok_obj,
true_outliers[, .(cell_id, sample_id, outlier = FALSE)],
scater_ok, miqc_ok, s)
for (f in formats)
ggsave(sprintf(outs_ok_uni_f, f), g, h = 8, w = 10)
# with out outliers
g = plot_sampleqc_vs_others_over_biaxials(qc_out_obj, true_outliers,
scater_out, miqc_out, s)
for (f in formats)
ggsave(sprintf(outs_out_uni_f, f), g, h = 8, w = 10)
s = 'sample60'
# with no outliers
g = plot_sampleqc_vs_others_over_biaxials(qc_ok_obj,
true_outliers[, .(cell_id, sample_id, outlier = FALSE)],
scater_ok, miqc_ok, s)
for (f in formats)
ggsave(sprintf(outs_ok_mult_f, f), g, h = 8, w = 10)
# with out outliers
g = plot_sampleqc_vs_others_over_biaxials(qc_out_obj, true_outliers,
scater_out, miqc_out, s)
for (f in formats)
ggsave(sprintf(outs_out_mult_f, f), g, h = 8, w = 10)
set.seed(seed)
sel_samples = qc_out_obj$sample_id %>% sample(6)
mahas_dt = calc_mahas_dt(qc_out_obj)
# do plot
g = plot_maha_qqs(mahas_dt, sel_samples)
for (f in formats)
ggsave(sprintf(maha_qqs_f, f), g, h = 5, w = 8)
print(g)
| Version | Author | Date |
|---|---|---|
| 257196d | markrobinsonuzh | 2021-08-24 |
# plot subsample of samples
set.seed(seed)
sel_samples = pr_by_sample$sample_id %>% unique %>% sample(16)
g = plot_pr_by_sample(prs_joined, cuts_joined, sel_samples)
for (f in formats)
ggsave(sprintf(pr_by_sample_f, f), g, h=8, w=9)
print(g)
| Version | Author | Date |
|---|---|---|
| 257196d | markrobinsonuzh | 2021-08-24 |
g = plot_pr_overall(pr_by_sample, pr_overall, cuts_overall)
for (f in formats)
ggsave(sprintf(pr_overall_f, f), g, h = 5, w = 5)
print(g)
g = plot_pr_by_modality(pr_by_modality, cuts_by_modal)
for (f in formats)
ggsave(sprintf(pr_modal_f, f), g, h = 6, w = 8)
print(g)
| Version | Author | Date |
|---|---|---|
| 257196d | markrobinsonuzh | 2021-08-24 |
g_pr = plot_pr_overall(pr_by_sample, pr_overall, cuts_overall, sel_samples) +
ggtitle('A. Precision-recall curves for identifying healthy cells')
g_bars = plot_bars_of_lost_cells_by_type(perf_by_celltype) +
ggtitle('B. Bias in identification of good cells')
g = g_pr / g_bars
# + plot_layout(heights = c(3, 2))
for (f in formats)
ggsave(sprintf(per_celltype_bias_abs, f), g, h = 10, w = 8)
g = plot_bars_of_lost_cells_by_type(perf_by_celltype, what = 'prop')
print(g)
Warning: Removed 16 rows containing missing values (geom_col).
| Version | Author | Date |
|---|---|---|
| 257196d | markrobinsonuzh | 2021-08-24 |
for (f in formats)
ggsave(sprintf(per_celltype_bias_p, f), g, h=8, w=8)
Warning: Removed 16 rows containing missing values (geom_col).


# File lib/openid/yadis/xrires.rb, line 28 def query_url(xri, service_type=nil) # URI normal form has a leading xri://, but we need to strip # that off again for the QXRI. This is under discussion for # XRI Resolution WD 11. qxri = XRI.to_uri_normal(xri)[6..-1] hxri = @proxy_url + qxri args = {'_xrd_r' => 'application/xrds+xml'} if service_type args['_xrd_t'] = service_type else # don't perform service endpoint selection args['_xrd_r'] += ';sep=false' end return XRI.append_args(hxri, args) end


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> What version of Video.js, and any plugins used?
> What browsers and platforms does this occur/not occur on?
> Is there a link to an example online?
> Can a reduced test case be created? (e.g. [a jsbin](http://jsbin.com/axedog/9999/edit) or [JSFiddle (if Flash is involved)](http://jsfiddle.net/heff/zzXfb/))
"Sorry - I don't use git."
video.js#781
"Perhaps another time; I'm not familiar with the testing framework and would have to get the whole environment set-up."
video.js#603
"Unfortunately I am not familiar with Github processes"
video.js#734
"No, thanks.
video.js#1297
"Hi. What is PR? :)"
video.js#1247
Write tests then comment them out
Steve Heffernan
@heff — twitter/github/irc
oscon@heff.me


Komodo Price Prediction 2019, KMD Price Forecast. Price target in 14 days: 0.6050 USD. The smartest Short- & Long-Term Komodo price analysis for 2019, 2020, 2021, 2022, 2023, 2024 with daily USD to KMD prognosis: monthly and daily opening, closing, maximum and minimum price p...


This document is a compilation of some information that has been submitted to HSQLDB mailing lists or forums. The HSQLDB project or its developers are not responsible for the software mentioned in this document, its suitability for any purpose, or the accuracy of the information provided in this document.
LightCrypto is a set of Open Source Java
classes with basic cryptographic routines using the BouncyCastle lightweight API.
It uses a minimal amount of memory so it can be used with J2ME, browser applets, on small Java devices such as PDA's or Java enabled mobile phones or in any other situation where Sun's JCE (Java Cryptographic
Extensions) is too heavy for the job.
Hsqldb-ready functions are also included.
Feature list:
# Create digest from strings and files with MD5 (default), SHA-1, SHA-256 , SHA-512 or RIPEMD160 hash algorithms
# Encrypt/Decrypt strings and files using the AES (lightweight implementation) algorithm with any keylength (default 128 bits) in CBC mode with PKCS12 padding.
# Encrypts the symmetric keystore and protects it with a passphrase (PBE)
# Functions to hash/encrypt/decrypt data in HSQLDB embeddable database engine using SQL statements.
# Open Source
# 100% Java
# Uses the BouncyCastle.org lightweight API instead of Sun's JCE (Java Cryptographic Extensions)
Homepage: http://jcetaglib.sourceforge.net/lightcrypto/
Beta 1 (including HSqldb routines + examples) has been released and can be downloaded on
http://sourceforge.net/project/showfiles.php?group_id=60642
Open source, lightweight cryptography extensions to Java for use with LightCrypto or HSQLDB for SSL access can be found here:
The open-source FormattedDataSet may be the easiest way to generate dynamic text such as HTML, and XML.
I just deployed a demo WAR that allows developers to enter any hsqldb join and render the results as an HTML table that can be sorted by clicking on the column headers. I picked hsqldb for my database as I didn't want anyone that installed the war to have to worry about installing a database.
The demo also times opening/closing Connections, ResultSets and Statements. This WAR would be useful for you guys to give out to demonstrate your database.
The demo works with any RDBMS.
Check it out at http://www.fdsapi.com and select the live demo link.


-
NASA - SpaceX Launch
www.nasa.gov
NASA.gov brings you images, videos and interactive features from the unique perspective of America’s space agency. Get the latest updates on NASA ...
-
NASA Rover Drill Pulls First Taste From Mars Mountain - NASA Jet ...
www.jpl.nasa.gov
The robotic arm of NASA's Curiosity rover is holding the rover's first sample of rock powder drilled from the base of Mount Sharp on Mars.
-
MAVEN
www.nasa.gov
The Mars Atmosphere and Volatile EvolutioN (MAVEN) mission, scheduled for launch in late 2013, will be the first mission devoted to understanding the ...
-
SpaceX Webcast
www.spacex.com
SpaceX designs, manufactures and launches advanced rockets and spacecraft..
-
SpaceX
blogs.nasa.gov
This morning’s launch begins a busy month in space for the International Space Station as the orbiting laboratory prepares to welcome the Dragon that ...
-
NASA Mars Spacecraft Ready for Sept. 21 Orbit Insertion - Mars Exploration ...
mars.jpl.nasa.gov:80
NASA's Mars Atmosphere and Volatile Evolution (MAVEN) spacecraft is nearing its scheduled Sept. 21 insertion into Martian orbit after completing a ...
-
iPhone camera evolution: How does the iPhone 6 camera compare to previous ...
snapsnapsnap.photos
How does the iPhone 6 camera stack up against previous hardware? In her ongoing series, professional iPhone photographer Lisa Bettany takes a hard ...
-
The Odd Trio
www.nasa.gov
The Cassini spacecraft captures a rare family photo of three of Saturn's moons that couldn't be more different from each other! As the largest of the ...
-
Picturing the Future of Messaging: Twilio MMS Now Available on all US ...
www.twilio.com
Today, we're happy to announce newly expanded Twilio messaging capabilities. For the first time ever, you can now send and receive MMS on all US ...
-
Breezy Science, Plant Studies and More Head to Space Station on SpaceX-4
www.nasa.gov
SpaceX’s Dragon will deliver new technology, biology and biotechnology, as well as Earth and space science research to the space station.
-
Curiosity Rover Report: We made it! Curiosity reaches Mount Sharp (Sept ...
www.youtube.com
More science ahead! After 2 years and nearly 9 kilometers of driving, NASA’s Mars Curiosity has arrived at the base of Mount Sharp to begin a whole ...
-
Zero to One: Notes on Startups, or How to Build the Future:Amazon:Books
www.amazon.com
Amazon Zero to One: Notes on Startups, or How to Build the Future
-
Opportunity's Long Tracks on Crater Rim
www.youtube.com
From a ridgeline viewpoint, NASA's Mars Exploration Rover Opportunity recently recorded a scene looking back over its own tracks made from nearly ...
-
Preview Comet Flyby Preparations and a Comet-landing Mission
www.nasa.gov
Social media users are invited to apply for one of up to 50 credentials to attend a one-day NASA Social on Oct. 13, 2014, at the agency’s Jet ...
-
Productivity vs. Getting Things Done
thenextweb.com
I've been a sucker for so-called "productivity porn." I still am, to some degree, but I've been working hard to cure myself of this time-wasting ...
-
Curiosity Cam
www.ustream.tv
For information about NASA's Curiosity mission, visit: http://www.nasa.gov/msl and http://mars.jpl.nasa.gov/msl Follow the Curiosity rover on Twitter ...
-
Swing Copters
itunes.apple.com
Get Swing Copters on the App Store. See screenshots and ratings, and read customer reviews.
-
Curiosity's Martian Chronicles
www.ustream.tv
Thursday, August 14, 2014, 7 p.m. PT (10 p.m. ET, 0200 UTC) Curiosity, the rover that successfully landed on Mars in early August, 2012, has been ...
-
Curiosity Cam
www.ustream.tv
For information about NASA's Curiosity mission, visit: http://www.nasa.gov/msl and http://mars.jpl.nasa.gov/msl Follow the Curiosity rover on Twitter ...
-
Generic and overused logos - Avoid them!
www.gtgraphics.org
In the world of creative communities a customer launches their project (for logos, corporate identities, banners, websites, etc.) and designers ...
-
Expanded Crew Relaxes After Busy Week of Docking Activities
www.nasa.gov
The Expedition 41 crew doubled in size over night and the International Space Station is now packed with five vehicles docked to various ports.
-
Joe Manganiello Is So Friggin' Good-Looking It's Not Even Fair
www.buzzfeed.com
People should not be allowed to be this attractive.
-
NASA Challenges Public to Design Piece of Mars Spacecraft
www.space.com
NASA announced a new contest called the Mars Balance Mass Challenge, inviting the public to submit design ideas for dual-purpose spacecraft weight ...
-
Terror laws clear Senate, enabling entire Australian web to be monitored ...
www.smh.com.au
Australian spies will soon have the power to monitor the entire Australian internet with just one warrant, and journalists and whistleblowers will ...
-
Troy Hunt: Everything you need to know about the Shellshock Bash bug
www.troyhunt.com
Observations, musings and conjecture about the world of software and technology
-
Third Round of Orion Underway Recovery Tests Help Teams Prepare for ...
www.nasa.gov
NASA, Orion prime contractor Lockheed Martin and the U.S. Navy successfully completed the third round of tests to practice recovering Orion when it ...
-
MAVEN Spacecraft Returns First Mars Observations
www.nasa.gov
NASA’s Mars Atmosphere and Volatile Evolution (MAVEN) spacecraft has obtained its first observations of the extended upper atmosphere surrounding ...


|
Bullet Collision Detection & Physics Library
|
original version written by Erwin Coumans, October 2013 More...
#include <btDantzigSolver.h>
Public Member Functions | |
| btDantzigSolver () | |
| virtual bool | solveMLCP (const btMatrixXu &A, const btVectorXu &b, btVectorXu &x, const btVectorXu &lo, const btVectorXu &hi, const btAlignedObjectArray< int > &limitDependency, int numIterations, bool useSparsity=true) |
| Public Member Functions inherited from btMLCPSolverInterface | |
| virtual | ~btMLCPSolverInterface () |
original version written by Erwin Coumans, October 2013
Definition at line 23 of file btDantzigSolver.h.
|
inline |
Definition at line 39 of file btDantzigSolver.h.
|
inlinevirtual |
Implements btMLCPSolverInterface.
Definition at line 44 of file btDantzigSolver.h.
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protected |
Definition at line 30 of file btDantzigSolver.h.
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protected |
Definition at line 26 of file btDantzigSolver.h.
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protected |
Definition at line 31 of file btDantzigSolver.h.
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protected |
Definition at line 35 of file btDantzigSolver.h.
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protected |
Definition at line 34 of file btDantzigSolver.h.
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protected |
Definition at line 33 of file btDantzigSolver.h.
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protected |
Definition at line 36 of file btDantzigSolver.h.
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protected |
Definition at line 28 of file btDantzigSolver.h.
|
protected |
Definition at line 32 of file btDantzigSolver.h.


Welcome to my portfolio! I am a full-stack developer. a focus on HTML, CSS, Javascript, Express, Handlebars, JQuery,Squelize,React and MySQL. I received my certification from the University of Minnesota on May 2018, I am currently open to full-time positions in the Minneapolis/St Paul area. as well as other major metropolitan areas.
I’ve always sought out opportunities and challenges that are meaningful to me. Although my professional path has taken many twists and turns from Biology, to full Stack Web Deverloper. I've never stopped engaging my passion to help others and solve problems.
I chose a coding "bootcamp" because I started my career in Biology degree. I graduated in 2016 from The University Of Minnesota with a Bachelor's degree in Biological Environmental Science. Like many Biologist fresh out of college, I started my career as an working in the Hospital field and lab tech. After a while i figure out that this is not the right field i should be, and i swich gears, went to University of St Thomas for master in Software Engineering, which i am currently on 1st year.
After a few months, I realized that I wanted to push myself more. I was working freelance interpreter, after i left my other job. i notice that the difference being a web developer and my freelance job, coding was my hobby i always love to do, and I soon realized that I could combine my experiences into a career that I love.
As a web developer, I enjoy using my obsessive attention to detail, my unequivocal love for making things, and my mission-driven work ethic to literally change the world. That's why I’m excited to make a big impact at a high growth company.
I left my career in freelance to spend three months emersing myself into a new world. What you will see within this website is a culmination of the skills I have acquired over the course of the full-stack program. If you have any questions about what you have seen on this website, please send me an email or connect with me on LinkedIn!


Hi, I'm a duck.
About me
I am just your everyday chill Goose! Yes, i am really a goose, everyone just calls me a duck.
Achievements
- Bachelor of Being Hot, 2020
- Gooseness certification from the Goose Institute, 2020
- Made a website, 2020


SCORE
| how are you | walk with me | i like animals |
| new | our | who |
| was | said | end |
| away | each | word |
| when | what | why |
| where | funny | little |
This app is an attempt to help my son practice sight-reading, the hope is it benefits more students. I used W3C's free Webspeech API implemented by Google in chrome. Any comments please message me via LinkedIn.
© 2020 Karthik Suryanarayanan. Licensed under the Apache License, Version 2.0


Overriding dependencies during resolution
The parameter and dependency overrides, ParameterOverride and DependencyOverride, are ResolverOverride implementations that provide support for overriding the registration information for resolving instances of types. When you call the Resolve method, these classes enable you to override values specified when the type was registered, such as by a RegisterType or RegisterInstance statement. In effect, RegisterType supplied values are overridden by Resolve supplied values.
Use ParameterOverride to override the specified constructor parameter or parameters. The override applies everywhere the parameter appears unless you use OnType to constrain the override to a specified type. Since the purpose of overrides is to affect the resolution of dependencies for all relevant created objects, not just the object requested in the call to Resolve, unconstrained overrides can produce errors if there are unconstrained ParameterOverride parameters that match parameters with the same name but different types on the selected constructors for objects created in a given resolve operation.
Use PropertyOverride to override the value of the specified property or properties. The override applies everywhere the property appears unless you use OnType to constrain the override to a specified type.
Use DependencyOverride to override the value injected whenever there is a dependency of the given type. DependencyOverride overrides all instances where the type matches. Both parameter overrides and dependency overrides support generic types and multiple overrides.
Overrides work with the constructor that is selected for the type, by attribute or configuration. If the constructor to be used is not identified with an attribute or explicit container configuration, then the default behavior is that the constructor with the most parameters will be used.
A parameter and property override never affects what element gets selected. They only control the value of the specified parameter or property. You do not change which constructor is called with an override, and you do not change which properties get set with an override.


Ready to use! Just plug and play!
The library exposes three methods designed to mimic their native JavaScript equivalents. Their exact method signatures are flexible as each can take various parameters to customise labels and specify defaults, but they are most commonly called like so:
The only required argument for alert calls is message; callback is required for confirm and prompt calls in order to determine what the user’s response was. Even when calling alert a callback is useful to determine when the user dismissed the dialog since our wrapper methods can’t & don’t block like their native counterparts: they are asynchronous rather than synchronous.
Each of these three methods calls a fourth public method which you too can use to create your own custom dialogs:
Please note: the ‘Example’ object used in the following examples simply displays a notification to help illustrate when each callback is invoked. It is nothing to do with Bootbox itself, but you may view its source if you’re interested in how it works.


Market Watch
Status
Dow Jones High
Dow Jones Low
Alert
Low Market Volatility
High Market Volatility
Trading Over


The game has two players, playing in rounds. In each turn, you roll a dice as many times as you whish. Each result get added to your round score. But, if you roll a 1, all your round score gets lost. After that, it's the next player's turn. You can choose to "hold", which means that your round score gets added to your global score. After that, it's the next player's turn. The first player to reach 40 points on global score wins the game!
CLICK THE PIG TO CONTINUE!


MyPiggyBank
Total Income:
Total Expense:
Total balance:
Please select your preferred income/expense:
Income Type
Expense Type
₹
Please check the input
@
Add
Please check the input


The Dana 35 has a 7 9/16" ring and
pinion and uses one piece axles (2.625" in diameter). Starting
in 1990 they switched to an inferior C-clip Dana 35c. The "c" in
Dana 35c does not stand for C-clip, it stands for custom. They
are custom because they are shipped incomplete from the Dana
factory to Chysler and Chrysler completes the build. The two
versions have different shafts, bearings, and carrier. There is a
C-clip elminator kit available for the Dana 35c. The Dana 35c is
probably on the small side for hard four wheeling with larger tires
and lockers. If these are your intentions, you might be better off
swapping in a Dana 44 or better.
Early YJs built from '87 until '89 used a 10" rear drum instead of
the 9" drum used in the later YJ and TJ Dana 35c. The axle in the
picture above has the 10" drums.
The R&P ratio ranges supported by the carriers are 2.73-3.31 and
3.55-4.56.
Specs
The Dana 35c is the axle used in all YJs (Wrangler) from '87-'95 and it
is the standard axle in the TJ (Wrangler), ZJ (Grand Cherokee),
MJ (Comanche), and XJ (Cherokee). The Dana 44
is an optional axle on the TJ, ZJ, MJ, and XJ. Some XJs were
built with the corporate Chrysler 8.25 axle as standard. The
TJ and ZJ versions are coil sprung, the XJ version is leaf
sprung (spring over), and the YJ and MJ versions are leaf
sprung (spring under).
| Model/Version | Spring Pads | Wheel to Wheel | Years |
| Dana 35c/XJ | NA | 60 3/4" | '84- |
| Dana 35c/MJ | NA | NA | '85-'92 |
| Dana 35c/YJ | 40" | 60" | '87-'95 |
| Dana 35c/ZJ | NA | NA | '93- |
| Dana 35c/TJ | NA | NA | '97- |


Eye of Argos:
Dear soldier, I felt a weakening in his force around here! Did you kill Daimon the White-Eyed?
"I killed the beast."


You'll be able to easily transcribe your recordings, surface content and perform predictive analytics, in order to better understand your customer experience, optimize sales, and monitor agent performance. All these capabilities are easy to add to your Amazon Connect instance without complex integrations and training.
Using proprietary algorithms, VoiceBase will automatically detect and extract keywords and topics, which are relevant to an overall recording. These keywords can be used to discover what the recording is about or clicked on for immediate playback. VoiceBase automatically creates topics or clusters of keywords that help facilitate the exploration of a recording by someone unfamiliar with the event.
Keyword/Phrase Spotting allows customers to identify a unique phrase or interaction that is important to the recording that needs to be flagged. This feature is helpful to spot profanity, service errors, product names, marketing campaigns or any other content of interest.
VoiceBase uses its own proprietary deep learning technology to understand “intention” from spoken information. By compiling tens of thousands of columns of data (not just a select number of keywords which often go undetected on a poor quality recording), VoiceBase can build a model to accurately detect almost any signal. This solution can be applied to classify a call or event represented by the full length call such as “Hot Lead” that is likely to close vs. “Non-Prospect”, or it can recognize and deliver time-stamped events such as “positive” or “negative” comments.
The VoiceBase platform automatically transcribes and indexes uploaded audio files in just minutes, using world-class Artificial Intelligence and speech-to-text technology. Even large files are processed in minutes; VoiceBase parses each audio file and parallel processes the pieces using our advanced technology. After VoiceBase transcribes and indexes the audio files, we return them in JSON format. The resulting transcript is used as the basis for each feature and analytics.
The easiest way to add the VoiceBase integration is to visit the AWS Quick Start VoiceBase Integration page and follow the step-by-step directions.
The following VoiceBase features can be configured in Amazon Connect: language selection, number formatting, keyword spotting, PCI redaction, custom vocabulary, profanity filter, and predictions. The Amazon Connect Installation Guide provides full details about this functionality.
The optional VoiceBase features are configured in Contact Flows in a Set Contact Attributes block. The user populates this block with different keys and values. A list of all available options is located at the bottom of the Amazon Connect Installation Guide.
Similar to Amazon Connect, VoiceBase services are based on per minute pricing. Speak with a sales specialist at VoiceBase to learn more about pricing options and volume discounts.


LITTLE MURDERS (director: Alan Arkin; screenwriter: Jules Feiffer; cinematographer: Gordon Willis; editor: Howard Kuperman; cast: Elliott Gould (Alfred Chamberlain), Marcia Rodd (Patsy Newquist), Vincent Gardenia (Mr. Newquist), Jon Korkes (Kenny Newquist), Elizabeth Wilson (Mrs. Newquist), Donald Sutherland (Minister), Lou Jacobi (Judge Stern), Alan Arkin (Lieutenant Practice), John Randolph (Mr. Chamberlain), Doris Roberts (Mrs. Chamberlain); Runtime: 110; 1971)
Reviewed by Dennis Schwartz
A provocatively caustic, funny, black humor satire, on how depressive life has become in the New York City of the late 1960s for the middle-class, who are caught in the changing times. Their family values, belief in God and country, and increasing dependence on TV for news and entertainment, has them reeling, as the society they know is breaking down.  This acerbic script comes by way of Jules Feiffer, the cartoonist for the Village Voice, who first had this work play off-Broadway at Circle in the Square, where it became a hit with the New York theater audience, sharing in delight at the author's dissing of such establishment figures as the police, the clergy, and the judges. Vincent Gardenia and Elliott Gould who are in the film, were also in the original play.
Here, the city is a comparative battlefield where residents have multiple locks on their doors, the cops are corrupt and incompetent nut cases, and the cries of resignation heard from those who feel beaten down emotionally and physically are as everyday as traffic jams during rush hour.
Alfred Chamberlain (Gould) is an apathetic, laid-back photographer getting beat up by a gang of kids without trying to defend himself, as he reasons they will soon get tired of punching me, when from her apartment window, Patsy Newquist (Marcia), a successful interior decorator, who says she wakes up every morning with a smile on her face, even when picking up the phone to a heavy breather, rushes down to rescue the mugging victim. He just walks away without thanking her, and when she confronts him, he says he is indifferent to the pain. So starts their troublesome romance, as this intelligent, vibrant, and beautiful 27-year-old, thinks she has found her Prince Charming at last: someone she can mold into her ideal mate.
Everything is played out in a revue format as a scathing farce. Patsy brings him to meet the family, where the sardonic dad (Gardenia) is despondently ranting about how things have changed for the worse, he is sure that his daughter's date will be a swish; while, mother (Wilson) is the picture of obliviousness, trying to make everything seem sweet, while speaking in clichés, and when the power goes off, she remarks: "It's better to strike a match than curse the darkness." The younger brother is a closet homosexual, disconnected with reality, reading inane books such as "Lesbians in Venus."
Alfred has become so disillusioned with his life, that he has given up taking photographs of people, further disillusioned that commercialization has trivialized the art scene, as he discovered that since he developed a reputation he can photograph anything and have it accepted by the Establishment.  That he is successful, is all that matters to Patsy's parents in accepting him for their daughter.
In another hilarious scene, Alfred refuses to get married by a judge (Jacobi), who raves like a lunatic about how God helped him get to the high position he now has. Instead, he goes to the hippie Ethical Culture minister (Sutherland). In a funny monologue, Sutherland calls the wedding ceremony a search for truth, finding rationals for whatever happens in life, telling the couple that of the 200 marriages he has performed only 7 are still married. He takes the $250 that Mr. Newquist gave him to include God in the ceremony, but tells him it is OK that you gave me the money for that, but it is also OK that I betray you by not including it in the ceremony.
As soon as Patsy injects life into the hapless photographer and has him look back with regret at his early years that made him so filled with angst, she is killed by a sniper in their apartment. In the final scene, Alfred returns to live with Patsy's family and realizes that the only way to live in an insane world is to be just as crazy as the world is. When he brings back a rifle to the apartment, he brings the family close together again, making them happy, as they fire out the window of their apartment, randomly killing those in the street. Alfred even gets a chance to kill the hostile, paranoid cop (Arkin), who tried to intimidate him. This comes at a time when there is a crime wave, where there are 345 unsolved murders in the last 6 months. But, clearly, Feiffer is saying that the little murders occurring daily are the ones we do emotionally to our souls, where we kill our feeling for life by becoming indifferent to the ills of the world.
The performers were outstanding, as I was especially pleased with Marcia Rodd's captivating portrayal of someone with spunk. The film was torridly on target and eerily funny, but only to a point, as it seemed to create such a far-out situation, that it was difficult to keep laughing when there was so much cynicism and so much that went beyond the pale of farce and became too arcane to decifer where it was leading to. When Elizabeth Wilson has the film's last word and says, "You don't know how good it is to hear my family laughing again," this coming after they acted as snipers, which leaves the black humor with a very tainted message.
REVIEWED ON 9/4/2000 GRADE: B
Dennis Schwartz: "Ozus' World Movie Reviews"
http://www.sover.net/~ozus
<EMAIL_ADDRESS>© ALL RIGHTS RESERVED DENNIS SCHWARTZ
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Press n or j to go to the next uncovered block, b, p or k for the previous block.
| File | Statements | Branches | Functions | Lines | |||||
|---|---|---|---|---|---|---|---|---|---|
| examples/spectest | 92.05% | 81/88 | 53.57% | 15/28 | 71.43% | 5/7 | 92.68% | 76/82 | |
| lib | 65.32% | 855/1309 | 38.21% | 209/547 | 63.04% | 87/138 | 66.93% | 838/1252 |


CSS Grid Layout sandbox
display: grid
This is a grid item.
This is a grid item.
This is a grid item.
This is a grid item.
This is a grid item.
This is a grid item.
display: inline-grid
This is a grid item.
This is a grid item.
This is a grid item.


bioMe uses state-of-the-art microbiome science to create a new kind of health and beauty product- instead of harsh chemicals and artificial scents, bioMe uses the natural potency of the human microbiome. Want to enchant like Angelina Jolie? Groove like Justin Timberlake? Engross like Idris Elba?
bioMe gives you that power. Our patent pending technology transfers the microbiome of celebrities like these to a nourishing cream which allows you to experience their biome first hand. Beauty, naturally.
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Collected with care from soon-to-be-announced celebrity partners, bioMe Midnight will give you intimate access to the microbiome of the most attractive humans on Earth. Unleash your biology.
Scientists have shown that Human Microbiome dramatically influences personality and behavior. Microbiomes can enhance sex hormones like testosterone and estrogene and generate moleculular pheromones that make us confident and desirable.
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