ofShader
Graphics Language Shading Language (GLSL) can be used in oF by using the ofShader object. Shading happens in two distinct steps: the vertex shader creates values for each vertex in the model, and the fragment shader creates values for each pixel in the rendered object. To define a shader, create a .frag file for the fragment shader and a .vert file for the vertex shader. A vertex shader has attributes about a location in space or vertex, which means not only the actual coordinates of that location but also its color, how any textures should be mapped onto it, and how the vertices are modified in the operation. A vertex shader can change the positions of each vertex, the number of lighting computations per vertex, and the color that will be applied to each vertex. A geometry shader can generate new graphics primitives like points, lines, and triangles, from those primitives that were sent to the graphics card from the CPU. This means that you could get a point and turn it into a triangle or even a bunch of triangles, or get a line and turn it into a rectangle, or do real-time extrusion. They are very powerful and can be quite tricky to get right, but theyre becoming more popular. The fragment shader is somewhat misleadingly named because what it really allows you to do is to change values assigned to each pixel. The vertex shader operates on the vertices, and the fragment shader operates on the pixels. By the time the fragment shader gets information passed into it by the graphics card, the color of a particular pixel has already been computed and in the fragment shader can be combined with an element like a lighting effecting, a fog effect, or a blur among many other options. The usual end result of this stage per fragment is a color value and a depth for the fragment.
- begin()
- end()
- getGeometryMaxOutputCount()
- getProgram()
- getShader(...)
- linkProgram()
- load(...)
- printActiveAttributes()
- printActiveUniforms()
- setAttribute1d(...)
- setAttribute1f(...)
- setAttribute1s(...)
- setAttribute2d(...)
- setAttribute2f(...)
- setAttribute2s(...)
- setAttribute3d(...)
- setAttribute3f(...)
- setAttribute3s(...)
- setAttribute4d(...)
- setAttribute4f(...)
- setAttribute4s(...)
- setGeometryInputType(...)
- setGeometryOutputCount(...)
- setGeometryOutputType(...)
- setUniformMatrix4f(...)
- setupShaderFromFile(...)
- setupShaderFromSource(...)
- unload()
ofShader methods
begin()
void ofShader::begin()
After you call begin() everything that you draw, vertexes and textures, in your of application have the effects of the shader applied to them.
end()
void ofShader::end()
After you call end() any drawing, vertexes and textures, do not have the effect of the shader applied to them.
getGeometryMaxOutputCount()
int ofShader::getGeometryMaxOutputCount()
returns maximum number of supported vertices for your graphics card
getProgram()
GLuint & ofShader::getProgram()
This returns the GLuint for the actual shader object that is active on the graphics card. This is more of an advanced usage method, but can be helpful if you need to do something that the ofShader doesn't support currently. This is all the shaders: vertex, geom, and frag.
getShader(...)
GLuint & ofShader::getShader(GLenum type)
This returns the GLuint for the actual shader object that is active on the graphics card. This is more of an advanced usage method, but can be helpful if you need to do something that the ofShader doesn't support currently. This returns only one of the shaders. You can pass GL_VERTEX_SHADER, GL_GEOMETRY_SHADER_EXT, GL_FRAGMENT_SHADER
linkProgram()
bool ofShader::linkProgram()
Links program with all compiled shaders. This is more of an advanced use method, as this is done automatically for you.
load(...)
bool ofShader::load(string shaderName)
This assumes that your vertex and fragment shaders have the same name, i.e. "dof.vert" and "dof.frag" and loads them using just the name of the shader:
shader.load("dof"); // assumes the shaders are in /data
load(...)
bool ofShader::load(string vertName, string fragName, string geomName="")
Here you can load shaders with whatever names you choose. The geometry shader is optional, but the vertex and fragment shaders aren't.
shader.load("dof.vert", "dof.frag"); // assumes the shaders are in /data
printActiveAttributes()
void ofShader::printActiveAttributes()
This prints out all the active attributes to the console.
printActiveUniforms()
void ofShader::printActiveUniforms()
This prints out all the active uniforms to the console.
setAttribute1d(...)
void ofShader::setAttribute1d(GLint location, double v1)
Set one double attribute on the shader. Attributes are different than uniforms in that you can pass an attribute to each vertex or fragment that is being shaded.
setAttribute1f(...)
void ofShader::setAttribute1f(GLint location, float v1)
Set one float attributes on the shader. Attributes are different than uniforms in that you can pass an attribute to each vertex or fragment that is being shaded.
setAttribute1s(...)
void ofShader::setAttribute1s(GLint location, short v1)
Set a short attribute, a short int, on the shader. Attributes are different than uniforms in that you can pass an attribute to each vertex or fragment that is being shaded.
setAttribute2d(...)
void ofShader::setAttribute2d(GLint location, double v1, double v2)
Set two double attribute on the shader. Attributes are different than uniforms in that you can pass an attribute to each vertex or fragment that is being shaded.
setAttribute2f(...)
void ofShader::setAttribute2f(GLint location, float v1, float v2)
Set two float attributes on the shader. Attributes are different than uniforms in that you can pass an attribute to each vertex or fragment that is being shaded.
setAttribute2s(...)
void ofShader::setAttribute2s(GLint location, short v1, short v2)
Set two short attributes, a short int, on the shader. Attributes are different than uniforms in that you can pass an attribute to each vertex or fragment that is being shaded.
setAttribute3d(...)
void ofShader::setAttribute3d(GLint location, double v1, double v2, double v3)
Set three double attribute on the shader. Attributes are different than uniforms in that you can pass an attribute to each vertex or fragment that is being shaded.
setAttribute3f(...)
void ofShader::setAttribute3f(GLint location, float v1, float v2, float v3)
Set three float attributes on the shader. Attributes are different than uniforms in that you can pass an attribute to each vertex or fragment that is being shaded.
setAttribute3s(...)
void ofShader::setAttribute3s(GLint location, short v1, short v2, short v3)
Set three short attributes, a short int, on the shader. Attributes are different than uniforms in that you can pass an attribute to each vertex or fragment that is being shaded.
setAttribute4d(...)
void ofShader::setAttribute4d(GLint location, double v1, double v2, double v3, double v4)
Set four double attribute on the shader. Attributes are different than uniforms in that you can pass an attribute to each vertex or fragment that is being shaded.
setAttribute4f(...)
void ofShader::setAttribute4f(GLint location, float v1, float v2, float v3, float v4)
Set four float attributes on the shader. Attributes are different than uniforms in that you can pass an attribute to each vertex or fragment that is being shaded.
setAttribute4s(...)
void ofShader::setAttribute4s(GLint location, short v1, short v2, short v3, short v4)
Set four short attributes, a short int, on the shader. Attributes are different than uniforms in that you can pass an attribute to each vertex or fragment that is being shaded.
setGeometryInputType(...)
void ofShader::setGeometryInputType(GLenum type)
You have to call this before linking the program with geometry shaders. Possible types are GL_POINTS, GL_LINES, GL_LINES_ADJACENCY_EXT, GL_TRIANGLES, GL_TRIANGLES_ADJACENCY_EXT
setGeometryOutputCount(...)
void ofShader::setGeometryOutputCount(int count)
You have to call this before linking the program with geometry shaders to set the number of output vertices, For quads, this should be 4, for points 1. Triangle strips can use up to the maximum number. You can check the maximum number supported on your graphics cards with getGeometryMaxOutputCount()
setGeometryOutputType(...)
void ofShader::setGeometryOutputType(GLenum type)
You have to call this before linking the program with geometry shaders. type: GL_POINTS, GL_LINE_STRIP or GL_TRIANGLE_STRIP
setUniform4f(...)
void ofShader::setUniform4f(const char *name, float v1, float v2, float v3, float v4)
setUniformTexture(...)
void ofShader::setUniformTexture(const char *name, ofBaseHasTexture &img, int textureLocation)
setUniformTexture(...)
void ofShader::setUniformTexture(const char *name, ofTexture &img, int textureLocation)
setUniformTexture(...)
void ofShader::setUniformTexture(const char *name, int textureTarget, GLint textureID, int textureLocation)
setupShaderFromFile(...)
bool ofShader::setupShaderFromFile(GLenum type, string filename)
This are more of advanced use function and doesn't need.
setupShaderFromSource(...)
bool ofShader::setupShaderFromSource(GLenum type, string source)
these methods create and compile a shader from a string, type: GL_VERTEX_SHADER, GL_FRAGMENT_SHADER, GL_GEOMETRY_SHADER_EXT etc.


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intro.Rmd
We’ll show how to use the package in a static form (no dynamic component).
Here’s some fake data.
set.seed(999999)
library(mvtnorm)
library(pldensity)
d <- 2
n <- 300
w_true <- c(0.3, 0.1, 0.21)
mu_true <- matrix(c(-2, 2, 0, -2, 1.5, 0), ncol = 2, byrow = TRUE)
sigma2_true <- 0.35
simdata <- matrix(0, n, d)
simdata[1:100, ] <- rmvnorm(100, mu_true[1, ], diag(sigma2_true, d))
simdata[101:200, ] <- rmvnorm(100, mu_true[2, ], 0.5 * diag(sigma2_true, d))
simdata[201:300, ] <- rmvnorm(100, mu_true[3, ], diag(sigma2_true, d))
ground_truth <- c(rep(1, 100), rep(2, 100), rep(3, 100))
plot(simdata, pch = 21, bg = ground_truth, main = "simulated bidimensional data")
nparticles = 500
mod0 <- ddpn_init(
nparticles = nparticles,
lambda = c(0, 0),
kappa = 1,
nu = 3,
Omega = diag(2),
alpha = 2,
rho = 0.9)
resol <- 50
x = seq(-5, 5, length.out = resol)
y = seq(-5, 5, length.out = resol)
grid <- data.matrix(expand.grid(x, y))
dens <- ddpn_eval(res$updated_model, grid, nparticles = nparticles)
z <- matrix(dens, ncol = resol)
filled.contour(x = x, y = y, z = log(z), nlevels = 20, main = "logdensity")
contour(x = x, y = y, z = log(z), nlevels = 10, main = "density fit")
points(simdata, pch = 21, bg = ground_truth)
sum(dens) * (x[2] - x[1]) * (y[2] - y[1])
#> [1] 0.9995125
res$marginal_loglikelihood
#> [1] -840.0715
plot(res$sequential_likelihood, type = "l", ylim = c(0, .5))


About Me
Hello ! My name is Sayan Dasgupta. This My Resume Wesite. Thank You for visiting My website. It was really difficult to create this website. It took a lot of time bring this project to reality. So, please take time and see the full website. Some Images may take some time load. I am currently doing my B.Tech in Electrical Engineering from St. Thomas College Of Engineering And Technology. I took up website devolopment as a hobby after competing my school years. I read a lot of story book in my free time. Let's talk a little more.
My Qualifications
CISE Board : Class 10 and 12
In College :
My Skills
My Trainings
| Sl No. | Course | From |
|---|---|---|
| 1 | C | Aptech |
| 2 | C++ | Aptech |
| 3 | Javascript | Aptech |
| 4 | PHP | Aptech |
| 5 | .NET MVC Using C# | Aptech |
| 6 | MySql | Aptech |
| 7 | Web Devolopment | My WBUT |
| 8 | Python-Basics-and-Beyond | NullStack |
| 9 | Cognizant Digital Nurture | Cognizant |
| 10 | TVAS-Fundamental Industrial Electrical Skills | TATA |
My Projects
My First Portfolio Website
Made in 2016
Click here to visit
OnAccounts : A Self Accounting Website
I created this just to test out my Understanding.Made in 2018.
Click here to visit
Website For GIOSD
This is my First Professional Work.This project is Still Under Devolopment.
Click here to visit
A Remote Controlled Car
This is an Electrical Wired remote controlled car made to challange an Obstacle Course.
My Resume
This Is My Resume. That is this website
Click here to visit
Contact Me
Mail Me At -
(Primary Mail)
<EMAIL_ADDRESS><EMAIL_ADDRESS>At Github -
Sayan Dasgupta ( Cadris )
At LinkedIn -
Sayan Dasgupta
At Facebook -
Sayan Dasgupta ( Cadris Silver )
At Twitter -
Sayan Dasgupta


{% extends './default.html' %} {% block body %}
Type a twitter username in the field above, and you will get a score of the account positivity based on the top 10 words used by the account, and how many of the 10 words are natural, positive or negative.
By default it analyses the last 100 tweets.
This software isn't related by anyway to twitter and the software owner doesn't provide any support, and you agree to use the software as is without any guarantees.
You can find me on twitter at Abod


Daily fantasy sports is big money in the US. Draftkings is headed for an IPO - with 192m in revenue in the first 9 months of 2019; before the NFL had started. I’m curious how daily fantasy plays out in the smaller sports; and as a hockey fan have a plan to find out if there’s reliable advantages to be found in the world of daily fantasy hockey betting.
Winnings v. other players - Provider fees = Gain (or loss)
You make money in daily fantasy sports by beating other players by more than you pay to the fantasy sport provider. In the experiment we’ll aim to find contests with the smallest provider fees (highest expected value) and the worst players (easiest field).
If we do that; we’ve got a chance at not losing our money before I write enough interesting blog posts. The goal is to be average at daily fantasy; but the best at identifying more lucrative contests. Along the way I’ll blog our adventures in learning about how the daily fantasy sports providers operate; how quick the fees cut into winnings, how good (or bad) the typical players are, how draftkings gamifies gambling to encourage more betting.
NHL - is the national hockey league. DFS is daily fantasy sports. Chances are you’re familiar with the national sports leagues in the US, and the sport of hockey. If not give wikipedia a shout and then head back here. DFS needs a longer explanation.
A daily game in which you gamble on individual player performance on a particular date. Admittedly fantasy sports has always resolved around gambling; but essentially no one participates in daily fantasy without paying into a provider who is taking a stake of the prize pool in every game. Who are those providers?


Canadian women climb to No. 3 in World Rugby rankings
Helped by a pair of wins over the U.S., Canada has moved up one spot to No. 3 in World Rugby women’s rankings.
The Americans dropped one place to sixth after the 19-0 and 52-7 losses to Canada in California.
New Zealand remains atop the standings, followed by England. Canada, meanwhile, returned to third for the first time since June.
France fell one rung to fourth while Australia moved past the Americans into fifth. The rest of the top 10 was unchanged with Italy seventh followed by Wales, Spain and Ireland.
Japan was a big mover, climbing 15 places to a career-high No. 12 after drawing Italy 17-17 and beating Scotland 24-20.
The Canadian men are ranked 22nd in the world.


Ride Overview for Today
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| Driver Name | Vehicle Plate No. | Vehicle Image | Date Start Date End |
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Sanjaya Lali International School is a leading institute in the country responsible for providing Education and Training for the development of vocational skills.
Sanjaya Lali International School was established on the 2nd of December 2019. Since then over 100 students have trained and educated under the wing of Sanjayalali International School.
Our School is registered under the Registration of an Individual ACT and Business ACT.
Registration Documents
Get the latest new about our school
Subscribe Now!.
Sanjaya Lali International School | All Rights Reserved ©


UK: Nintendo Switch is the best-selling console in 2019 so far
by My Nintendo News Admin
Nintendo is seeing continued success here in the UK with its Switch platform and it shows no sign of slowing down or stagnating. Games Industry is reporting that Nintendo’s latest platform is currently the best-selling console of the year so far and if Sony doesn’t have any outstanding deals on hardware during Black Friday it could easily finish 2019 in first. Nintendo has sold 90,000 Switch consoles this month alone, which is very impressive, and sales have naturally spiked with the latest entry in the Pokemon franchise being released, Pokemon Sword & Shield. With Sony’s PlayStation 4 soon to enter its final year, the Nintendo Switch could take next year too with Sony’s PlayStation 5 not expected until Christmas 2020. After that we shall have to wait and see what happens.


---
title: "Past Concerts | Red Butte Garden"
layout: "default"
---
2019 Concerts
Click Here
for the 2019 Season!
- Bela Fleck & The Flecktones w/ Billy Strings
- 50th Anniversary Tour Little Feat
- Joseph and The Amazing Technicolor Dreamcoat
- Howard Jones & Men Without Hats w/ All Hail the Silence
- Lucinda Williams and her band Buick 6
- Greensky Bluegrass w/ The Lil Smokes
- Utah Symphony's Patriotic Celebration ft. Vocalist Hugh Panaro and Conductor Michael Krajewski
- Galactic w/ Karl Denson's Tiny Universe
- Pink Martini with singer China Forbes
- Lyle Lovett and his Large Band
- Seal w/Rennie Adams
- Nathaniel Rateliff & The Night Sweats w/Lucius
- Trampled By Turtles w/ Dead South
- John Prine w/ I'm With Her (canceled)
- Umphrey's McGee w/ Pigeons Playing Ping Pong
- Jonny Lang / JJ Grey & Mofro
- Mandolin Orange w/ Anaïs Mitchell
- The Mighty O.A.R. w/ American Authors and Rozzi
2018 Concerts
- The Devil Makes Three / The Wood Brothers / Murder By Death
- Ryan Adams w/Ruby Force
- Violent Femmes w/Marcia Mello
- Last Summer on Earth: Barenaked Ladies / Better Than Ezra / KT Tunstall
- Dispatch / Nahko & Medicine for the People w/Raye Zaragoza
- Michael Franti & Spearhead w/Dustin Thomas & Victoria Canal
- The Avett Brothers w/Jill Andrews
- Sheryl Crow w/Caitlyn Smith
- Counting Crows w/Boom Forest
- Jackson Browne
- Retro Futura: Belinda Carlisle / ABC / Modern English / The Outfield's Tony Lewis / Kajagoogoo's Limahl / Bow Wow Wow's Annabella
- Tajmo: The Taj Mahal & Keb' Mo' Band w/Alicia Michelli
- Chris Isaak
- Big Head Todd and the Monsters / Toad the Wet Sprocket w/Megan Slankard
- Jenny Oaks Baker with the Utah Symphony
- Death Cab for Cutie w/Pedro The Lion
- Ben Harper & Charlie Musselwhite w/Tom Freund
- Greensky Bluegrass
- Lost 80's Live: A Flock of Seagulls / Wang Chung / Farrington and Mann / Naked Eyes
- Angelique Kidjo's Remain in Light / Femi Kuti
- Brandi Carlile w/The Secret Sisters
- Gipsy Kings w/Vilray
- Indigo Girls w/Lucy Wainwright Rocce
- Shakey Graves / José González & the Brite Lites w/Rayland Baxter
- Gary Clark Jr. w/Think No Think
- O.A.R. w/Matt Nathanson / The New Respects
- Trombone Shorty's Voodoo Threauxdown: Trombone Shorty & Orleans Avenue / Galactic / Preservation Hall Jazz Band / New Breed Brass Band / Cyril Neville, Kermit Ruffins & Walter Wolfman Washington
- Rodrigo y Gabriela w/Robert Ellis
- Billy Idol w/White Reaper
2017 Concerts
- Jethro Tull by Ian Anderson
- Trey Anastasio Band - Paper Wheels Tour
- TajMo: The Taj Mahal & Keb' Mo' Band
- Dispatch - America, Location 12 Tour with Guster and Jake Shimabukuro
- Jason Mraz & His Superband
- Santana - Transmorgrify Tour
- Kenny Wayne Shepherd Band with Sammy Brue
- Amos Lee with Swami Tommy & The Belvederes
- North Mississippi Allstars & Anders Osborne Present: N.M.O. / Lukas Nelson & Promise Of The Real
- Mary Chapin Carpenter with Sarah Jarosz
- Lyle Lovett and his Large Band
- Retro Futura Tour - Howard Jones, The English Beat, Men Without Hats
- Portugal. The Man with The ACES
- Wheels of Soul Summer Tour - Tedeschi Trucks Band, The Wood Brothers, Hot Tuna
- John Williams' Film Music featuring the Utah Symphony & Randall Craig Fleischer, Conductor
- Drive-By Truckers with Asleep At The Wheel
- Gregory Alan Isokov / Blind Pilot
- The Head and the Heart with Matt Hopper & The Roman Candles
- The Decemberists with Olivia Chaney
- Chick Corea Elektric Band / Béla Fleck & The Flecktones
- Trombone Shorty & Orleans Avenue / St. Paul & The Broken Bones
- Herbie Hancock with Lionel Loueke
- Lake Street Dive with Cuddle Magic
- ZZ TOP - Tonnage Tour with Jordan Matthew Young
- John Butler Trio with Nattali Rize
- Jason Isbell and the 400 Unit with Frank Turner & the Sleeping Souls
- HAIM with LPX
- Sheryl Crow - Be Myself Tour with Morgan Snow
- Govt' Mule - Revolution Come...Revolution Go Tour
2016 Concerts
- The Lumineers with special guests SOAK, Sleepwalkers
- Buddy Guy & Jonny Lang
- The Monkees 50th Anniversary Tour
- Edward Sharpe and the Magnetic Zeros with special guests Preservation Hall Jazz Band, Harriet
- Ben Harper & The Innocent Criminals with special guest The Jack Moves
- case/lang/veirs with special guest LOCH LOMOND
- Barenaked Ladies with OMD & Howard Jones
- JJ Grey & Mofro / Josh Ritter / special guest HONEY HONEY
- Boz Scaggs with special guest Jeff LeBlanc
- The Avett Brothers with special guest Cory Mon
- Willie Nelson & Family with special guest Tony Holiday
- Gary Clark Jr. with special guest The Weekenders
- Weird Al Yankovic
- Tedeschi Trucks Band with Los Lobos & North Mississippi Allstars
- Culture Club with special guest GROVES
- Michael Franti & Spearhead with special guest Dustin Thomas
- Pablo Villegas with the Utah Symphony
- Lake Street Dive with special guest Gregory Alan Isakov
- Ryan Adams with special guest Amanda Shires
- Pat Benatar & Neil Giraldo / Melissa Etheridge
- Grace Potter with special guest Con Brio
- Old Crow Medicine Show with special guest Dom Flemons
- Jackson Browne
- Wilco with special guest Joan Shelley
- Blondie with special guest Desi Valentine
- Kacey Musgraves with special guest Sam Outlaw
- Bonnie Raitt with special guest Richard Thompson Trio
- NEEDTOBREATHE with Mat Kearney, John Mark McMillan, Welshly Arms
- Goo Goo Dolls with special guests Collective Soul and Tribe Society
- Jason Isbell with special guest Margaret Glaspy
- Tears For Fears with special guest Zipper Club
2015 Concerts
- Passion Pit with special guest HOLYCHILD
- The Decemberists with special guest Wartime Blues
- Chromeo and ODESZA with CLASSIXX
- Lindsey Stirling with special guests KARMIN and Melissa Martinez
- Ryan Adams with special guest Wardell
- Tedeschi Trucks Band, Sharon Jones & the Dap Kings with special guest Doyle Bramhall II
- Cooder-White-Skaggs with special guest Robert Earl Keen
- Rob Thomas with special guests Plain White T's and Black Vinyl
- Brian Wilson with special guest Rodriguez
- Hank Williams, Jr. with special guest Sam Riddle
- Sweet Harmony Soul featuring Mavis Staples, Patty Griffin and Amy Helm & the Handsome Strangers
- Steve Miller Band with special guest Daniel Young Buehner
- Harry Connick, Jr.
- Lyle Lovett and his Large Band
- Under The Sun Tour with Sugar Ray, Better Than Ezra, Uncle Kracker, EVE 6
- Alabama Shakes with special guest Chicano Batman
- Michael Franti & Spearhead with special guest The Movement
- John Fogerty
- Trampled By Turtles & The Devil Makes Three
- The Utah Symphony with Time For Three
- Brandi Carlile with special guest Anderson East
- Rodrigo y Gabriela with special guest Heather Maloney
- Wilco with special guest Vetiver
- Orquesta Buena Vista Social Club with special guest David Wax Museum
- Garrison Keillor's A Prairie Home Companion - America The Beautiful Tour
- YES and TOTO
- An Evening with CAKE
- An Evening with Mark Knopfler
- An Evening with Ben Harper & The Innocent Criminals
2014 Concerts
- Emmylou Harris with special guest Nathaniel Rateliff
- Janelle Monáe with special guest Conner Youngblood
- Jason Isbell with special guest The Lone Bellow
- The Robert Cray Band / Mavis Staples
- Natalie Cole with special guest Joy & Eric
- Gavin DeGraw and Matt Nathanson with special guest Mary Lambert
- Fitz and the Tantrums with special guests Max Frost & HOLYCHILD
- Sarah McLachlan Shine On Tour 2014
- The Avett Brothers with special guest Nicole Atkins
- Bob Weir & RatDog
- Pat Metheny Unity Group & Bruce Hornsby w/Sonny Emory - Campfire Tour 2104
- Tedeschi Trucks Band with special guest Rich Robinson
- Lyle Lovett & his Large Band
- Gary Clark Jr. with special guest Black Pistol Fire
- Amos Lee with special guest Desert Noises
- Santana
- John Hiatt and The Combo & Taj Mahal Trio
- Chris Isaak with special guest Morgan Snow
- John Butler Trio with special guest The Stray Sisters
- Ray LaMontagne with special guest The Belle Brigade
- Trombone Shorty and Orleans Avenue / Galactic
- Michael McDonald & TOTO
- Sheryl Crow with special guest Cam
- Portugal. The Man & Grouplove
- David Gray with special guest David Kitt
- Brandi Carlile with special guest Hollow Wood
- Earth, Wind & Fire
- An Acoustic Evening with Ben Harper
- Conor Oberst with Jonathan Wilson
2013 Concerts
- Vampire Weekend with The High Highs
- Edward Sharpe & The Magnetic Zeros
- Trombone Shorty & Orleans Avenue / Big Head Todd and the Monsters
- Grace Potter and the Nocturnals with Lukas Nelson & Promise of the Real
- Jackson Brown with Sara Watkins
- Tony Bennett
- Tedeschi Trucks Band with Rayland Baxter
- She & Him with Tilly and the Wall
- Old Crow Medicine Show with Parker Millsap
- Pink Martini
- Rodrigo y Gabriela with Alex Wilson
- Brandi Carlile with The Lone Bellow
- David Byrne & St. Vincent
- Garrison Keillor's A Prairie Home Companion Radio Romance Tour
- Kenny Loggins with Blue Sky Riders
- Dwight Yoakam with The Hollering Pines
- Merle Haggard with Paul Thorn
- Medeski Martin Wood / John Scofield Uberjam Band
- Steve Miller Band with Morgan Snow
- Steely Dan with Bobby Broom and The Deep Blue Organ Trio
- John Butler Trio with Zach Heckendorf
- Michael Franti & Spearhead with Ethan Tucker and Amanda Shaw
- John Prine with Johnnyswim
- George Thorogood and the Destroyers / Buddy Guy
- Wayne Shorter 80th Birthday Celebration (Wayne Shorter Quartet, Joe Lovano & Dave Douglas Quintet, ACS: Allen, Carrington, Spalding)
- The Black Crowes
- Neko Case with Pickwick
2012 Concerts
- The Shins with The Head and The Heart and Blind Pilot
- Bon Iver with The Staves
- Sheryl Crow with Amy Levere
- American Legacies: Preservation Hall Jazz Band & Del McCoury Band
- Melissa Etheridge
- Wilco with Blitzen Trapper
- Jimmy Cliff with Trevor Hall
- The B-52s & Squeeze
- Brandi Carlile with You, Me & Apollo
- Josh Ritter & The Royal City Band with Joe Purdy
- Steve Martin & The Steep Canyon Rangers - An Evening of Bluegrass & Comedy
- Grace Potter and the Nocturnals with ZZ Ward
- Al Green
- Los Lobos & Steve Earle and the Dukes (and Duchesses) featuring Allison Moorer
- Diana Krall with Denzal Sinclaire
- Colbie Caillat & Gavin DeGraw
- Michael Franti & Spearhead with Zach Heckendorf
- Gipsy Kings
- Andrew Bird with Amadou & Mariam
- Dead Can Dance
- Norah Jones with Cory Chisel and The Wandering Sons
- Crosby, Stills & Nash
- Huey Lewis & The News with Katie Todd
- Bonnie Raitt with Special Guest Mavis Staples -- Night 1
- Bonnie Raitt with Special Guest Mavis Staples -- Night 2
- Trombone Shorty & Orleans Avenue with The Stone Foxes
- The Piano Guys
2011 Concerts
- The Moody Blues
- Big Head Todd & the Monsters / Toots & the Maytals
- CAKE
- Buddy Guy with Mavis Staples
- Ani DiFranco with Greg Brown
- Sheryl Crow
- Pink Martini
- Michael Franti & Spearhead
- Sharon Jones and the Dap Kings with Buckwheat Zydeco
- Josh Ritter & The Royal City Band with Blind Pilot and The Devil Makes Three
- Fleet Foxes with Alela Diane and Wild Divine
- Steve Miller Band
- Bruce Hornsby & The Noisemakers / Bela Fleck & The Flecktones
- Lyle Lovett and his Large Band
- k.d. lang & The Siss Boom Bang
- Jerry Jeff Walker with James Cotton Superharp
- G. Love & Special Sauce with Trombone Shorty & Orleans Avenue
- Jonny Lang / JJ Grey & Mofro
- Gipsy Kings featuring Nicolas Reyes and Tonino Baliardo
- Peter Frampton
- Brandi Carlile with Ivan and Alyosha
- Return to Forever IV with Dweezil Zappa Plays Zappa
- Thievery Corporation with Shana Halligan
- Alison Krauss & Union Station featuring Jerry Douglas with Dawes
2010 Concerts
- Kenny Wayne Shepherd with Blues on First
- Steve Martin & The Steep Canyon Rangers with the Punch Brothers (featuring Chris Thile)
- Joss Stone with Josh Charles
- Chicago with Joy & Eric
- JJ Grey & MOFRO with Todd Snider & Great American Taxi
- Joan Baez with Guy Clark
- Brandi Carlile with Katie Herzig
- Barenaked Ladies with Kris Allen
- Lyle Lovett & his Large Band
- Rhythm Devils (featuring Mickey Hart, Bill Kreutzmann, Keller Williams, Sikiru Adepoju, Davy Knowles & Andy Hess)
- Mary Chapin Carpenter with Garrison Starr
- Natalie Merchant
- Allen Toussaint with Dirty Dozen Brass Band, Trombone Shorty & Orleans Avenue
- Chris Isaak with Mia Dyson
- The Swell Season with Peter Salett
- John Prine with Carrie Rodriguez
- Norah Jones with Corrine Bailey Rae
- A Prairie Home Companion (featuring Garrison Keillor & Sara Watkins)
- Doobie Brothers with Libbie Linton
- Sheryl Crow with Colbie Caillat
- Willie Nelson with Chuck Mead
2009 Concerts
- Neko Case with Joey & John of Calexico
- Etta James & The Roots Band
- Femi Kuti with Bela Fleck & Toumani Diabate
- Smokey Robinson
- David Byrne
- Indigo Girls
- Death Cab for Cutie with Andrew Bird & Ra Ra Riot
- The Wallflowers with Vedera
- Diana Krall
- Chicago
- Chris Isaak
- Los Lobos & Los Lonely boys
- The Pretenders with Cat Power & Juliette Lewis
- The Avett Brothers with the Heartless Bastards
- Bonnie Raitt & Taj Mahal
- Booker T. & The Drive By Truckers
2008 Concerts
- Jazz at Lincoln Center Orchestra with Wynton Marsalis
- Jonny Lang
- Emmylou Harris
- Derek Trucks & Susan Tedeschi with Scrapomatic
- Los Lonely Boys & Los Lobos
- Greg Brown with Iris DeMent & Pieta Brown
- Wilco with Fleet Foxes
- A Prairie Home Companion with Garrison Keillor
- KT Tunstall with Martha Wainwright
- John Hiatt & The Ageless Beauties with Joan Osborne
- Bonnie Raitt with Leo Kottke
- Bonnie Raitt with Richard Julian
- Al Green
- G. Love & Special Sauce with John Butler Trio & Tristan Prettyman
2007 Concerts
- Mary Chapin Carpenter
- Derek Trucks & Susan Tedeschi
- Indigo Girls
- Chick Corea & Bela Fleck
- Ricky Skaggs & Kentucky Thunder
- The Neville Brothers & Sonny Landreth
- Chris Isaak
- Mavis Staples & Bettye LaVette
- Ryan Adams & The Cardinals
- Sierra Leone's Refugee All Stars
- Keb' Mo' & Robert Cray
- Bruce Hornsby
- Son Volt & Alejandro Escovedo
2006 Concerts
- The Del McCoury Band
- Joe Jackson
- John Hiatt & The North Mississippi Allstars
- Jonny Lang
- Indigo Girls
- Koko Taylor & Her Blues Machine
- James McMurtry & Hot Tuna
- Suzanne Vega
- Herbie Hancock
- Nickel Creek
- Dr. John
- Rosanne Cash
2005 Concerts
- Chris Isaak
- Nanci Griffith
- Flatlanders
- Lyle Lovett
- Fabulous Thunderbirds
- Cowboy Junkies
- Bruce Hornsby
- Julie Roberts
- John Hiatt & Shawn Colvin
- Steve Earle
- Susan Tedeschi with The Blind Boys of Alabama
- Kasey Chambers
- Jonny Lang
2004 Concerts
- Mary Chapin Carpenter
- John Hiatt
- The Robert Cray Band
- Marcia Ball
- Cassandra Wilson
- Quetzal
- Ani DiFranco
- The Blind Boys of Alabama
- George Thorogood & The Destroyers
- The Sweet Harmony Traveling Revue featuring Emmylou Harris, Patty Griffin, Buddy Miller, Gillian Welch, and David Rawlings.
- Lyle Lovett
- Joan Osborne
2003 Concerts
- Susan Tedeschi
- Robert Earl Keen
- Taj Mahal and the Hula Blues Band
- They Might Be Giants
- Shawn Colvin
- Lucinda Williams
- Norah Jones
- Los Lobos
- Keb' Mo'
- k.d. lang
- Ralph Stanley
2002 Concerts
- Nanci Griffith
- Cowboy Junkies
- John Hiatt
- Indigo Girls
- Bruce Hornsby
- Jerry Jeff Walker
- Femi Kuti
- Nickel Creek
- Bela Fleck & the Flecktones
2001 Concerts
- Bruce Hornsby
- Keb' Mo'
- Indigo Girls
- Asleep At The Wheel
- Los Lobos
- Lucinda Williams
- BeauSoleil
- Leon Russell
- Buddy Guy
2000 Concerts
- Mary Chapin Carpenter
- Peter Rowan & Guy Clark
- The David Grisman Quintet
- Buddy Guy
- Bruce Cockburn
- Riders in the Sky
- Ladysmith Black Mambazo
1999 Concerts
- Mary Chapin Carpenter
- Hal Ketchum
- Buckwheat Zydeco
1998 Concerts
- University of Utah Band Concert
- Vonda Shepard
- BB King
- Jerry Jeff Walker
- Queen Ida and Her Zydeco Band with Special Guest "Freeze" Guillory
- Calobo
- John Hiatt
- The David Grisman Quintet
1997 Concerts
- Bang! Featuring Dave Wakeling
- John Prine
- Maura O'Connell
- Francine Reed
- Little Feat
- Beau Soleil
1996 Concerts
- "The Bard & The Balladeer" - Don Edwards & Waddie Mitchell
- Leo Kottke
- Rosalie Sorrels
- Queen Ida & Her Zydeco Band
- Bill Monroe
- Joan Baez
- John Hammond
- The Duke Robillard Band
- Tish Jinojosa
- Marcia Ball
1995 Concerts
- John McEuen and Vassar Clements with Special Guest Jonathan McEuen
- Francine Reed
- Binkley-Woodbury Duo
- Riders in the Sky
- Zachary Richard
- Asleep at the Wheel with Special Guests Bob Wills' Texas Playboys
1994 Concerts
- Salsa Brava
- Jerry Jeff Walker
- Gospel Beats
- Nanci Griffith
- Hall Thomsen Band
- Riders in the Sky
1993 Concerts
- Richie Havens
- John McEuen & the Cowdaddies
- Folk Utah!
- Joe Muscolino Band
- Aldiviva Quartet
- Jerry Jeff Walker
1992 Concerts
- Queen Ida and Her Zydeco Band
- New World String Quartet
- Pentangle
- Binkley Woodbury Duo with Ricklen Nobis
- Alison Krauss & Union Station
- Turtle Island String Quartet
1991 Concerts
- The Alvino Rey / Bob Bailey Quartet with Luise King
- The Larry Jackstien Group
- Richard Thompson & Shawn Colvin
- Todd Woodbury and Paul Binkley with Ricklen Nobis
- The Christopher Hollyday Quartet
- Buddy Guy
1990 Concerts
- Alvino Rey and Bob Bailey
- Powder Ridge
- Taj Mahal
- Jensen-Woodbury-Nobis
- Sons o' Thunder
- Texas Songwriters Evening
1989 Concerts
- David Grisman
- The Intermountain Brass Quintet
- CJ-3
- Mountain Dogs
- Jensen / Woodbury / Nobis
- Loose Ties
1988 Concerts
- Joe Muscolino Band with Big Band Jazz
- The Knobs with Rhythm and Blues
- The Oquirrh Ridge Drifters with Bluegrass
- Jensen / Woodbury Classical Guitar duo with Rick Nobis and Erich Graf
- Ed Pratt with Contemporary Guitar and Vocals
- Copeland / Booth with Hot Jazz and Vocals
1987 Concerts
- The Rick Martinez Band
- Jarman Kingston Quartet
- Jensen / Woodbury Duo with Ricklen Nobis
- Jerry Floor / Bill Crimson Big Band


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gate_tail.Rd
These methods aim to set a one-dimensional gate (cutpoint) near the edge of a peak in
the density specified by a channel of a flowFrame
to isolate the tail population.
They allow two approaches to do this, both beginning by obtaining a
smoothened kernel density estimate (KDE) of the original density and then utilizing either
its first or second derivative.
We determine a gating cutpoint using either the first or second derivative of
the kernel density estimate (KDE) of the x
.
gate_tail( fr, channel, filterId = "", num_peaks = 1, ref_peak = 1, strict = TRUE, tol = 0.01, side = "right", min = NULL, max = NULL, bias = 0, ... ) .cytokine_cutpoint( x, num_peaks = 1, ref_peak = 1, method = c("first_deriv", "second_deriv"), tol = 0.01, adjust = 1, side = "right", strict = TRUE, plot = FALSE, auto_tol = FALSE, ... )
| fr | a |
|---|---|
| channel | the channel from which the cytokine gate is constructed |
| filterId | the name of the filter |
| num_peaks | the number of peaks expected to see. This effectively removes any peaks that are artifacts of smoothing |
| ref_peak | After |
| strict |
|
| tol | the tolerance value |
| side | On which side of the density do we want to gate the tail, the |
| min | a numeric value that sets the lower boundary for data filtering |
| max | a numeric value that sets the upper boundary for data filtering |
| bias | a numeric value that adds a constant to the calculated cutpoint(threshold). Default is 0. |
| ... | additional arguments passed to |
| x | a |
| method | the method used to select the cutpoint. See details. |
| adjust | the scaling adjustment applied to the bandwidth used in the first derivative of the kernel density estimate |
| plot | logical specifying whether to plot the peaks found
|
| auto_tol | when TRUE, it tries to set the tolerance automatically. |
a filterList
containing the gates (cutpoints) for each sample with
the corresponding rectangleGate
objects defining the tail as the positive population.
the cutpoint along the x-axis
The default behavior of the first approach, specified by method = "first_deriv"
,
finds valleys in the first derivative of the KDE and uses the lowest such valley
to place the cutpoint on the steep right shoulder of the largest peak in the original density.
The default behavior of the second approach, specified by method = "second_deriv"
,
is to find peaks in the second derivative of the KDE and use the largest such peak
to place the cutpoint at the point on the right shoulder of the largest
peak in the original density where it is most rapidly flattening (the first derivative is rapidly
growing less negative).
Both approach can be significantly modified from defaults with a number of optional
arguments. The num_peaks
argument specifes how many peaks should be found
in the smoothened KDE and ref_peak
specifies around which peak the gate's
cutpoint should be placed (starting from the leftmost peak). Setting the side
argument to "left" modifies the procedure to put the cutpoint on the left side of the
reference peak to isolate a left tail. The max
and min
arguments allow for
pre-filtering extreme values in the channel of interest (keeping only observations with
channel values less than max and/or more than min). The bandwidth used for kernel density
estimation can be proportionally scaled using adjust
(e.g. adjust = 0.5
will
use a bandwidth that is half of the default). This allows for tuning the level of
smoothing applied in the estimation.
Lastly, the tol
, auto_tol
, and bias
arguments allow for adjustments
to be made to the cutpoint that would otherwise be returned. tol
provides a tolerance value
that the absolute value of the KDE derivative at the cutpoint must be under. If the derivative
at the original cutpoint is greater than tol
in magnitude, the returned cutpoint will be the first point
to the right of the original cutpoint (or to the left in the case of side = "left"
) with corresponding
derivative within tol
. Thus in practice, a smaller value for tol
effectively pushes the cutpoint
further down the shoulder of the peak towards the flat tail. tol
is set to 0.01 by default
but setting auto_tol = TRUE
will set the tolerance to a reasonable estimate of
1% of the maximum absolute value of the first derivative of the KDE. tol
and
auto_tol
are only used for method = "first_deriv"
. Additionally, the bias
argument allows for directly shifting the returned cutpoint left or right.
It is also possible to pass additional arguments to control the calculation
of the derivative, which will have some effect on the resulting cutpoint determination,
but this should usually not be needed. By default the number of grid points for the derivative
calculation will be 10,000, but this can be changed with num_points
. The default
bandwidth can also be directly adjusted with bandwidth
, where the final value used
will be given by adjust*bandwidth
By default, we compute the first derivative of the kernel density estimate.
Next, we determine the lowest valley from the derivative, which corresponds to the
density's mode for cytokines. We then contruct a gating cutpoint as the value
less than the tolerance value tol
in magnitude and is also greater
than the lowest valley.
Alternatively, if the method
is selected as second_deriv
, we
select a cutpoint from the second derivative of the KDE. Specifically, we
choose the cutpoint as the largest peak of the second derivative of the KDE
density which is greater than the reference peak.
if (FALSE) { gate <- gate_tail(fr, Channel = "APC-A") # fr is a flowFrame }


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This is an external application that needs to subtract a few arbitrary objects. It has no prior knowledge of any other application that can offer such a feature.


Q. How many people speak Spanish?
A. Over 400 million people speak Spanish
Q. What language does Spanish orginate from?
A.Spanish has Latin origins.
Q.What are the two names Spanish has?
A.Castellano and Español
Q. Who is "in charge" of the Spanish language?
A.• The Royal Spanish Academy
Q.Which language influenced Spanish?
A.Arabic
Q.Spanish is still popular in which country?
A.Philippines, with a growing interest in including it in school curriculums.
Q.Where is the largest pool in the world?
A.Chile; 1,013 meters (3,324 ft) in length the swimming pool at the San Alfonso del Mar resort in Algarrobo.


What type of data are you after?
TSL Sequence Data
sequences.tsl.ac.uk
TSL Image Data
images.tsl.ac.uk


| ifsogui.textbox: | Types | Modinfo | Source |
| ifsoGUI_TextBox | Textbox Type. |
| Type ifsoGUI_TextBox Extends ifsoGUI_Base | |
| Description | Textbox Type. |
| Methods Summary | |
|---|---|
| CutSelection | Returns the selected text and removes it from the gadget. |
| Draw | Draws the gadget. |
| GainFocus | Called when the gadget becomes the active gadget. |
| GetCursorBlinkRate | Returns the cursor blink rate in millisecs. |
| GetCursorPosition | Returns whether or not the border is showing. |
| GetCursorWidth | Returns the width of the cursor bar. |
| GetPassword | Get the textbox as a password textbox. |
| GetPasswordChar | Get password character. |
| GetReadOnly | Returns whether the textbox is read only or not. |
| GetSelectBegin | Returns the location of the selection beginning. |
| GetSelection | Returns the selected text. |
| GetShowBorder | Returns whether or not the border is showing. |
| GetText | Returns the text in the textbox. |
| gMouseDown | Called when the mouse button is pressed on the gadget. |
| gMouseUp | Called when the mouse button is released on the gadget. |
| InsertText | Inserts text at the cursor position. |
| KeyPress | Called when a key is pressed on the active gadget. |
| LoadSkin | Loads a skin for one instance of the gadget. |
| LostFocus | Called when the gadget is no longer the Active Gadget. |
| MouseStatus | Called to determine the mouse status from the gadget. |
| Refresh | Refreshes the gadget. |
| RemoveText | Removes the selected text. |
| SetCursorBlinkRate | Sets the cursor blink rate in Millisecs. |
| SetCursorPosition | Sets the cursor position within the text. |
| SetCursorWidth | Sets the width of the cursor bar. |
| SetFilter | Sets a keypress filter. This custom function should return True or False based on whether the key pressed should be allowed. |
| SetPassword | Set the textbox as a password textbox. |
| SetPasswordChar | Set password character. |
| SetReadOnly | Sets the gadget read only. |
| SetSelectBegin | Sets The Selection begining. |
| SetSelectColor | Sets the selection color. |
| SetShowBorder | Sets whether or not the border will show. |
| SetText | Sets the text in the textbox. |
| ShowChars | Makes sure the correct characters and cursor are shown. |
| Functions Summary | |
|---|---|
| Create | Create and returns a textbox gadget. |
| LoadTheme | Called to load the graphics when a new theme is loaded. |
| SystemEvent | GUI system event occured. |
| Method CutSelection:String() | |
| Description | Returns the selected text and removes it from the gadget. |
| Method Draw(parX:Int, parY:Int, parW:Int, parH:Int) | |
| Description | Draws the gadget. |
| Information | Internal function should not be called by the user. |
| Method GainFocus(LostFocus:ifsoGUI_Base) 'Gadget Got focus | |
| Description | Called when the gadget becomes the active gadget. |
| Information | Internal function should not be called by the user. |
| Method GetCursorBlinkRate:Int() | |
| Description | Returns the cursor blink rate in millisecs. |
| Method GetCursorPosition:Int() | |
| Description | Returns whether or not the border is showing. |
| Method GetCursorWidth:Int() | |
| Description | Returns the width of the cursor bar. |
| Method GetPassword:Int() | |
| Description | Get the textbox as a password textbox. |
| Method GetPasswordChar:String() | |
| Description | Get password character. |
| Method GetReadOnly:Int() | |
| Description | Returns whether the textbox is read only or not. |
| Method GetSelectBegin:Int() | |
| Description | Returns the location of the selection beginning. |
| Method GetSelection:String() | |
| Description | Returns the selected text. |
| Method GetShowBorder:Int() | |
| Description | Returns whether or not the border is showing. |
| Method GetText:String() | |
| Description | Returns the text in the textbox. |
| Method gMouseDown(iButton:Int, iMouseX:Int, iMouseY:Int) | |
| Description | Called when the mouse button is pressed on the gadget. |
| Information | Internal function should not be called by the user. |
| Method gMouseUp(iButton:Int, iMouseX:Int, iMouseY:Int) | |
| Description | Called when the mouse button is released on the gadget. |
| Information | Internal function should not be called by the user. |
| Method InsertText(strText:String) | |
| Description | Inserts text at the cursor position. |
| Method KeyPress(key:Int) | |
| Description | Called when a key is pressed on the active gadget. |
| Information | Internal function should not be called by the user. |
| Method LoadSkin(strSkin:String) | |
| Description | Loads a skin for one instance of the gadget. |
| Method LostFocus(GainedFocus:ifsoGUI_Base) | |
| Description | Called when the gadget is no longer the Active Gadget. |
| Information | Internal function should not be called by the user. |
| Method MouseStatus:Int(iMouseX:Int, iMouseY:Int) | |
| Description | Called to determine the mouse status from the gadget. |
| Information | Called to the active gadget only. Internal function should not be called by the user. |
| Method Refresh() | |
| Description | Refreshes the gadget. |
| Information | Recalculates any geometry/font changes, etc. Internal function should not be called by the user. |
| Method RemoveText() | |
| Description | Removes the selected text. |
| Information | Internal function should not be called by the user. |
| Method SetCursorBlinkRate(iBlinkRate:Int) | |
| Description | Sets the cursor blink rate in Millisecs. |
| Method SetCursorPosition(iPosition:Int) | |
| Description | Sets the cursor position within the text. |
| Method SetCursorWidth(iCursorWidth:Int) | |
| Description | Sets the width of the cursor bar. |
| Method SetFilter(funcFilter:Int(key:Int, gadget:ifsoGUI_Base)) | |
| Description | Sets a keypress filter. This custom function should return True or False based on whether the key pressed should be allowed. |
| Method SetPassword(bPassword:Int) | |
| Description | Set the textbox as a password textbox. |
| Method SetPasswordChar(strChar:String) | |
| Description | Set password character. |
| Method SetReadOnly(bReadOnly:Int) | |
| Description | Sets the gadget read only. |
| Method SetSelectBegin(iBegin:Int) | |
| Description | Sets The Selection begining. |
| Method SetSelectColor(iRed:Int, iGreen:Int, iBlue:Int) 'Set color of selected item | |
| Description | Sets the selection color. |
| Method SetShowBorder(bShowBorder:Int) | |
| Description | Sets whether or not the border will show. |
| Method SetText(NewValue:String) | |
| Description | Sets the text in the textbox. |
| Method ShowChars() | |
| Description | Makes sure the correct characters and cursor are shown. |
| Information | Internal function should not be called by the user. |
| Function Create:ifsoGUI_TextBox(iX:Int, iY:Int, iW:Int, iH:Int, strName:String, strText:String = "") | |
| Description | Create and returns a textbox gadget. |
| Function LoadTheme() | |
| Description | Called to load the graphics when a new theme is loaded. |
| Information | A GadgetSystemEvent is then sent out to all gadgets. Internal function should not be called by the user. |
| Function SystemEvent(id:Int, data:Int) | |
| Description | GUI system event occured. |
| Information | Internal function should not be called by the user. |
| Version | 1.00 |
|---|---|
| Author | Marcus Trisdale |
| Copyright | (c) 2009 Marcus Trisdale |


Getting Started
Pybricks Modules
ev3brick
ev3devices
parameters
tools
robotics
Engineering Essentials
Demo Programs


Member Area
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TRAINER
Douglas McGee
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Licence Detail
LICENCE
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Type Rating Instructor I
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Validity
Date of Last Flight
Type Rating Instructor(Validity)
Type Rating Instructor II
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IN-FLIGHT AIRCRAFT OPERATIONAL EXPERIENCE
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Pilot-in-Command
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Experience as Captain Conducting LIFUS
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flight training experience
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Contains the View hierarchy, the central GUI component in our module.
This hierarchy is headed by View, which all views inherit from in our part of the project. The CollapsibleView is a special instance of View, which, as its name implies, can collapse (in a SplitPane). The ConcreteView is a plain view which extends View as well.
Changes in this package should primarily come in the form of new extensions to the View abstract class.


{%extends "base.html"%} {%block content%}
📷 Image Captioner
Capt The Pic is a image captioning web app which will convert the uploaded image into a sentence. To build the model I have used ResNet50 and LSTM. I have used ResNet50 to extract the image features. LSTM is mainly used as language model to predict the next word. I have used feature vector of image and current word for predicting the next word
Convert Image To Text


Here are the units available for your pollution inventory return. Use the filters to determind which units are specific to your monitor point or parameter.
For more information about units including measurement type, unicode and definitions see the full EA list of units


This forensic image analyzer is capable of enhancing images and analyzing their content. To begin, select an image file and enter an email address that you would like to use to receive the results.
We're uploading your image to the forensic analyzer
Please wait for the results to be sent to the email address you provided.
Please check the image file and email address and try again.


I'm Meghan Lee. I'm a UX/UI + Graphic Designer in SLC, UT. I've completed my AAS in Film Production and I'm currently at the University of Utah for Graphic Design. I'm work with film, photography, set design and 3D artforms.


Gateway
BOT
04-Dec-18 07:28 AM
[dscrdvrsc] <Gloryman> Hahhaah
[dscrdvrsc] <Cruz> @Yii They are better off finding a better project, for their money, with a weaker dev team
(edited)
[dscrdvrsc] <Gloryman> Sorry, I'm so used to wenger.
[dscrdvrsc] <Yii> Why weaker dev team, they dont pick the coin because of the dev team
[dscrdvrsc] <Cruz> @Gloryman I'm a Sevilla supporter... He was our man for 3 UEFA Cup titles
[dscrdvrsc] <Cruz> @Yii They should.  ASIC and FPGA developers want money, it's a business. CPU/GPU developers main interest isn't mining. I think FPGAs can co-exist in a crippled state. As for now they're too efficient, and sees only to the need of the few instead of the many.
[dscrdvrsc] <Cruz> @zpajk Who says CPU/GPU developers aren't about mining?
[dscrdvrsc] <Cruz> That's crazy
[dscrdvrsc] <zpajk> Yeah, just look at RTX, what a great mining card.
[dscrdvrsc] <zpajk> The point was; CPU/GPU are for the many
[dscrdvrsc] <Cruz> FPGA main interest is not crypto
(edited)
[dscrdvrsc] <Yii> Everyone can buy a fpga. Its just online available as of now, but havent been actually to a store to buy computer parts in ages
[dscrdvrsc] <zpajk> It's expensive
[dscrdvrsc] <Godballz> Good points. Jumping in late, and more specifically- using a codename to represent Verus is straight scummy. It does seem to blatantly go against everything that has been worked so hard for and ultimately the core values- Verus= veritas=truth- why mine in secret? Why not try to be a part of the community rather than dump coins on an unsuspecting market
[dscrdvrsc] <Gloryman> @zpajk I'm not against them trying to make money, but why should we let them do it at the expense of ourselves.  Now we make our money by folking the suit out of it.
(edited)
[dscrdvrsc] <Yii> So is the 2080 ti
[dscrdvrsc] <plazma> i got 1 GH/s help+100 MH/s my own and its still at 0.7 verus on pool
(edited)
[dscrdvrsc] <Cruz> @zpajk It's expensive and hopefully Verus makes is obsolete, for mining this coin
[dscrdvrsc] <Cruz> As @ok88 said, it was done in secret... F*ck that
[dscrdvrsc] <Yii> Yeah, i bet the scream wouldnt be as much if they said. Hey, we have a fpga now and are mining your coin.  Im standing alone int the fpga community with my thought that it would be easier to approach the dev team before starting to develop a bitstream
[dscrdvrsc] <Cruz> That alone shows that it was ill intended
[dscrdvrsc] <Yii> I tell you, you have to fight on more fronts now. You fork, someone else will pick up the development.
It's in the paper
[dscrdvrsc] <Cruz> And you guys are going against what is laid out, in that paper... That's where it stands right now
[dscrdvrsc] <Cruz> @Godballz Sup bro
[dscrdvrsc] <Godballz> @Cruz hey man
[dscrdvrsc] <Yii> Actually where does it say that specific sentence in the whitepaper?
[dscrdvrsc] <Godballz> Mike did say asics may be inevitable unfortunately but I don't think anyone expected them so soon. Perhaps I don't understand the reasoning fully in it just yet but I don't see the value of having fpga on the network right now
[dscrdvrsc] <Godballz> Its skews the hashrate in a very lopsided fashion presently
[dscrdvrsc] <Cruz> Did he say FPGA? lol
[dscrdvrsc] <Godballz> True and for the record I personally feel it sort of sucks
[dscrdvrsc] <Cruz> He did say that we might have to deal with this
[dscrdvrsc] <Godballz> I'm trying to play The Devil's Advocate here and look at both sides because Mike was considering negotiating and for the reasoning that the next wave of fpga miners might be less easy to get under control
[dscrdvrsc] <Godballz> Right exactly. I had always assumed it would be a more gradual ramp up
[dscrdvrsc] <Cruz> These FPGA's are damn expensive
[dscrdvrsc] <Godballz> Which would further hurt a decentralization by placing large hash power in the hands of the wealthy
[dscrdvrsc] <Cruz> Bigger scale mining is a money game.. it moves fast
[dscrdvrsc] <Godballz> And unfortunately now it's not just bigger scale
[dscrdvrsc] <Yii> Really?  Arguably fpga evens out that Gap where asic could be left behind and rendered useless
[dscrdvrsc] <Cruz> We've got to fork then lol
[dscrdvrsc] <Yii> Fpga has resell value, its not an asic, you can actually do something with it
[dscrdvrsc] <Godballz> That's why I said they close the gap between
[dscrdvrsc] <Godballz> But besides
[dscrdvrsc] <Gloryman> I think fpgas are worse than asics
[dscrdvrsc] <zpajk> @Yii You get the fact that FPGAs aren't available for everyone? Both supply and price-wise. Even if FPGAs are good and well, as for now they're way more in favor of few people, taking advantage of others.
[dscrdvrsc] <Cruz> Hell I wish Mike and the team, could make my phone mine as much as gpu and cpu
[dscrdvrsc] <Cruz> No FPGA
[dscrdvrsc] <Gloryman> Asics means that the coin is huge and its easier to keep folking away form asics.  Fpgas are like close to impossible to stop without regular folking and they damage smaller projects
[dscrdvrsc] <Yii> Why not? Most miners have one rig, hobby miners with 1-2 cards mine on nicehash as it is convenient. Its not even a good rig and everyone can buy it, no country restriction
[dscrdvrsc] <Godballz> Can't there be a way to create a hardware signature for the fpga each individually and add them to a blacklist updated regularly on the wallet so it doesn't affect anything else? Something along those lines Maybe? Like Hardware signatures only found in regular PCS but I imagine Asic would circumvent this anyway as they are part of standard PCS correct?
[dscrdvrsc] <grendel25> @Emmanuel developer agility is better than doing nothing at all to work against centralization. But centralization is a point of view so who ever is the loser in being decentralized will argue that everyone else is centralized. In other words, if bitcoin forked tomorrow and was only CPU mineable all the ASIC miners would argue that bitcoin is now centralized to large CPU data centers.
At least with developer agility you would think their interests would represent the community and if that representation were untrue then there wouldn't be much of a community left. For example, I've witnessed mixed feelings here about how the developer responded. Of course, it all remains to be seen what will happen next. My opinion is that it's the coin, use case, adoption, and such factors that actually matter.  It's bold success that matters. Everything else is just squabbles of inferiority.
[dscrdvrsc] <Cruz> Bold success meaning, staying true to your values...
[dscrdvrsc] <Godballz> The problem I see right now with such a large gap in hashrate is that it has become very unprofitable to mine so people will stop and it will be for the most part mined by fpga. They have lower electricity costs and receive large amounts of coins so they will be able to dump the price. Ideally there will be a balance Maybe we are the miners who left buy the cheap coins and create value to bring the price back up but I feel like that might be a long shot
[dscrdvrsc] <Yii> I posted the chart in trading. Please show where it damaged the coin value
[dscrdvrsc] <Godballz> It has the potential to does it not?
[dscrdvrsc] <grendel25> An egg could be ate by a fox. Or, it could grow into a chicken.
[dscrdvrsc] <Godballz> I didn't say it had affected price negatively yet just friendly discourse
[dscrdvrsc] <Godballz> Would you rather we forget about it and stop discussing it?
[dscrdvrsc] <Cruz> More than likely the fox will eat the egg
[dscrdvrsc] <grendel25> sure but to say 'potential' idk... I could get hit by a bus tomorrow. I'm all for friendly discourse
[dscrdvrsc] <Godballz> I find no harm in at least raising the subject
[dscrdvrsc] <Cruz> There are so many bad projects out there with good price action
[dscrdvrsc] <Godballz> I believe potential was the correct word for the usage
[dscrdvrsc] <Cruz> Why not FPGA one of them?
[dscrdvrsc] <grendel25> It's less about correct word usage and more about logic
[dscrdvrsc] <grendel25> I'm more into arguments of substance
[dscrdvrsc] <grendel25> adding an FPGA doesn't make any coin more or less likely to fail
[dscrdvrsc] <Cruz> It's more about people using a FPGA do not have any real ties to the project...do they?
[dscrdvrsc] <Godballz> Whatever we are supposed to be a community. I can see how something like this can be polarizing but I think it's important we at least discuss this and try to remember that we are all on the same side here
[dscrdvrsc] <grendel25> You know what Raven won't fail?
[dscrdvrsc] <grendel25> And you know why Raven will moon again?
[dscrdvrsc] <Cruz> @grendel25 BC it's on Binance
[dscrdvrsc] <grendel25> Billionaire CEO of O-stock... that's why. CEO rich guy is going to make fireworks. His ego is on the line
[dscrdvrsc] <Gloryman> a few people controling the price of the coin is one of the biggest factors of failing, look at etherum classic. They had to fork it because the coins were in the hands of only a few people.
[dscrdvrsc] <Cruz> Yeah Patrick Byrne or whatever his name is..
That is Raven, this is Verus
[dscrdvrsc] <Patrick ManBearPig> I see the fact that someone with a massively disproportionate hashrate can then stake those coins and further consolidate the market. On the other hand, it makes me want one of these bad boys. I don't even know what a fgpa is but it sounds cool!
[dscrdvrsc] <grendel25> Raven has FPGA, valid logic point. see?
[dscrdvrsc] <Cruz> Raven has 6B supply
[dscrdvrsc] <grendel25> and look at Raven's hashrate... moon
[dscrdvrsc] <Cruz> Verus has 80m
[dscrdvrsc] <Cruz> You're logic is completely off here
[dscrdvrsc] <grendel25> My point was to FPGA, don't steer the logic bro
[dscrdvrsc] <Patrick ManBearPig> It does seem a bit ironic that people are so upset about someone mining a privacy coin in secret
[dscrdvrsc] <Cruz> One coin is on Binance with billions of supply
[dscrdvrsc] <Post> what does the hashrate have to do with the supply? rvn has a 5000 blockreward, verus has 24...so what?
[dscrdvrsc] <Cruz> Each project is unique...
[dscrdvrsc] <Post> yeah, so we can´t compare it


My Awsome Header 1
My favorite site is
GitHub.
This is a link to Google!
Hello there, awesome person!


Using Serialization with a NonSerializable Superclass
Running the Example
Complete the following procedure to compile and run the two
examples:
- From
yourbasedir/objectserializationexamples/NonSerializableSuperClass, compile the files:
javac NonSerialSuperExample.java
javac Book.java
javac ReadingMaterial.java
- Run the compiled file:
java NonSerialSuperExample
The book object prints out before and after serialization.
Additional Information:
- Abstract
- Sources
- List of Examples


1. {{words.word1}} visited Washington Square Park and 2. {{words.word2}} for an hour to get rid of stress.  A street performer sat outside the fountain 4. {{words.word4}} a 5. {{words.word5}}. Meanwhile you were 6. {{words.word6}} in Bobst Library, dreading about the thought of studying for all your finals.


What is Virtualization? What are the advantages and disadvantages of using Virtual Machines?
Continue readingWhat is Containerization? What are the advantages and disadvantages of using containers?
Continue readingLet's compare the two. Which should you ultimately use in your projects?
Continue readingLet's see how we can build a web server image which can be used to build containers.
Continue readingLet's see the steps we need to take to connect Docker with a Pycharm (A Python IDE) project.
Continue readingLearning how to use command line is worth every penny. Let's see some important commands!
Continue reading


|
BLE_API
v2.1.3
|
Macros | |
| #define | BLESERVICE_UDF01S_UDATR01_READ_EVENT 0x01 |
| #define | BLESERVICE_UDF01S_UDATR01_READRSP_EVENT 0x02 |
| #define | BLESERVICE_UDF01S_UDATN01_NOTIFY_EVENT 0x03 |
| #define | BLESERVICE_UDF01S_UDATN01_CCCD_READ_RSP_EVENT 0x04 |
| #define | BLESERVICE_UDF01S_UDATN01_CCCD_WRITE_RSP_EVENT 0x05 |
| #define | BLESERVICE_UDF01S_UDATRW01_READ_EVENT 0x06 |
| #define | BLESERVICE_UDF01S_UDATRW01_READRSP_EVENT 0x07 |
| #define | BLESERVICE_UDF01S_UDATRW01_WRITE_EVENT 0x08 |
| #define | BLESERVICE_UDF01S_UDATRW01_WRITE_RSP_EVENT 0x09 |
Here shows the event definitions of the UDF01S service.
| #define BLESERVICE_UDF01S_UDATN01_CCCD_READ_RSP_EVENT 0x04 |
UDF01S characteristic UDATN01 cccd read response event.
| #define BLESERVICE_UDF01S_UDATN01_CCCD_WRITE_RSP_EVENT 0x05 |
UDF01S characteristic UDATN01 cccd write response event.
| #define BLESERVICE_UDF01S_UDATN01_NOTIFY_EVENT 0x03 |
UDF01S characteristic UDATN01 notification event.
| #define BLESERVICE_UDF01S_UDATR01_READ_EVENT 0x01 |
UDF01S characteristic UDATR01 read event.
| #define BLESERVICE_UDF01S_UDATR01_READRSP_EVENT 0x02 |
UDF01S characteristic UDATR01 read response event.
| #define BLESERVICE_UDF01S_UDATRW01_READ_EVENT 0x06 |
UDF01S characteristic UDATRW01 read event.
| #define BLESERVICE_UDF01S_UDATRW01_READRSP_EVENT 0x07 |
UDF01S characteristic UDATRW01 read response event.
| #define BLESERVICE_UDF01S_UDATRW01_WRITE_EVENT 0x08 |
UDF01S characteristic UDATRW01 write event.
| #define BLESERVICE_UDF01S_UDATRW01_WRITE_RSP_EVENT 0x09 |
UDF01S characteristic UDATRW01 write response event.


Implementing GP-UCB in Jax
Here I’ll showcase the capabilities of the Jax framework to solve some interesting problems. We will be implementing the Gaussian Process-Upper Confidence Bound (GP-UCB) algorithm which is often used to solve the Bayesian Optimization problem. This is also a test of the blog’s capabilities!
In the Bayesian Optimization problem, we have some function . At each timestep we choose a point and observe a noisy realization of the function value .
We want to minimize the cumulative regret
The objective means that we are interested in both finding a global minimum of the , but we also don’t want to incur a lot of cost while doing so. Even if we have a pretty good idea of where the minimum is, we don’t want to choose all our remaining s to be there, as we could be missing an even better minimum.
An application of this could be in an idealized medical trial, where represents dosage of a drug and is the patient’s risk of adverse outcomes. We want to find a dosage which is good, but at the same time we don’t want to cause many adverse outcomes while doing so.
GP-UCB is a popular method for doing Bayesian Optimization, and it also has theoretical guarantees upper-bounding the regret (although as is often the case, these guarantees depend on knowing parameters of that you’re unlikely to know a-priori). (Although in this setting we want to minimize the function instead of maximizing it and so technically we should perhaps call the algorithm the GP-Lower Confidence Bound, algorithm it seems that GP-UCB is the name used to describe both the function minimization and maximization setting).
One advantage of GP-UCB is that it is very straightforward to describe. Given the points up to the current point, you fit a Gaussian process to serve as a prediction of the objective function. The Gaussian process gives us a mean function and a variance function . GP-UCB chooses the next point as
where is a parameter which is chosen to grow roughly logarithmically with . The growth of with ensures that the algorithm will eventually sample all the points infinitely often. If the algorithm doesn’t sample in a region for many iterations, then will remain the same while slowly grows until the algorithm samples at that point.
Often this algorithm is implemented by discretizing the input space into a set
of points. In that setting the minimization above simply becomes a linear scan
over the UCB values at all the grid points, and is very easily implemented. The
computation of the GP can be handled by any of many packages (I like Scikit-Learn’s
GaussianProcessRegressor
). But a shortcoming with this approach is that
it scales very poorly with dimension: even using a grid with 10 points per side
would be completely intractable to compute in 15 dimensions.
Instead we can implicitly compute the GP objective function, and
use gradient-based optimization to solve the optimization problem above.
It’d be nice to use more sophisticated optimization techniques (such as Newton’s
method) as they’ll converge much faster. However, computing the gradient of the
GP objective is not completely straightforward, and computing the Hessian is
even more annoying. With the built-in autodiff capabilities of Jax, this becomes
as easy as applying the grad
functional to our gp objective!
For simplicity, we are going to use a domain . This means that we need to use a constrained optimization method to deal with what happens if the gradient iterates take us out of the domain. We will use a log-barrier method to solve this constrained optimization problem. Since the gradient changes very rapidly near the log barrier, it’s important that we use a second-order method to ensure that the optimization remains well-conditioned. We could also have used a projected gradient method, which would probably have been easier to implement.
Let’s start by defining a function to compute the GP-UCB values. The Gaussian Process mean function at a predictive point while conditioning on points in an matrix is given by
while the predictive standard deviation is given by
In both cases, the matrix is the Gram matrix given by . We will use the standard choice of a squared exponential kernel with a given length scale hyperparameter
Since we re-use the matrix and it is independent of we can save time by computing it once and passing it as an argument to our function. Writing this all out, we have
As a running example of a tricky global optimization problem, we’ll use a one-dimensional function with many local minima:
Now we check that the GP is fitting the function properly. It seems like it is (after some tweaking of the length scales of the GP and the amount of noise). Next we want to implement the UCB part of the GP-UCB algorithm.
To recap, we want to do the following.
- Start at a random point in the space
- Minimize the GP surrogate with Newton’s method and the log-barrier method until we reach a local minimum
- Start the GP surrogate optimization again from a random point
- Choose the next sampled point to be the lowest minimum found so far.
First we make a function get the Hessian of an arbitrary function:
Yep, it’s that simple in Jax. That being done, we write a function to give us the log-barrier function on the d-dimensional box with our objective:
This has a parameter which varies how `sharp’ the log barrier is. A higher gives a more precise approximation to the hard constraint that we want to impose, at the expense of a higher gradient making the optimization process harder. This is demonstrated in this great figure from Boyd’s book on convex optimization:
In practice what we will do is find a minimum for a moderate value of then increase , minimize again, etc.
Ok, so we have a working optimization step. Since have already seen that we are ending up in local minima, we want to be able to run this optimization starting from many random restarts: at least on the order of the number of points observed so far. To do this we will need to speed up the optimization function. With the current implementation it takes two seconds to do a single run of the optimization. This isn’t really acceptable for what is inherently just a few 5 by 5 matrix computations. We should be able to make this much faster. The first thing to do is to swap in jitted gradient and Hessians. We simply replace our line above with
This simple swap doubles the speed of our optimization routine: it now
only takes one second to run. We now have to start making harder
optimizations, and venturing into writing our own jitted functions.
Due to the way Jax compiles functions while jitting them, some of our
idiomatic python expressions are not allowed. However, there are
several workarounds. Let’s attempt to jit the solve_constrained
function.
We immediately get an error: TypeError: Abstract value passed to
bool, which requires a concrete value
.
This is saying that the jax compiler can’t figure out the value of the
t > t_lim
line at compile time. This takes us to the first rule of
jitting functions: any native python if
, for
, or while
loops have
to be able to be figured out at compile time. Confusingly however,
behind the scenes a jitted function is compiled separately for
differently shaped inputs. So it is ok to write e.g. a for-loop that
loops over each dimension of a vector, as the compiler knows at compile
time what the size of the vector. In this case we can just get rid of the
t_lim and hard-code it to 10000 and put it into an explicit for loop.
Trying to jit this, we again get the same error about booleans, which
is in the line search while
condition this time. Since the line search
really has to be formulated with a breaking condition, we need to reformulate it
using the jax.lax.while_loop
construct, which allows us to use while loops in jax.
The LAX that jax compiles to treats the while loop as a single `block’ (no unrolling)
so it is quicker to compile than if we wrote out the whole thing.
Writing everything out, we get this alternative formulation of the optimization:
There are several points worth discussing here. We have formulated the
problem as two nested while loops, the inner one repeatedly taking
Newton steps and calling the linesearch, and the second one handling
the linesearch. In each linesearch we have to wrap the loop state up
into a variable loop_state
. We also have to provide extra
termination conditions if the loops exceed a certain number of
iterations. We use the fact that jax converts bools into integers to
give a termination condition for the linesearch. When we run this, it
takes a few seconds to compile, but once compiled takes 0.02s to run,
a saving of 100x over the non-jitted runtime. This allows us to do
many repeats, ensuring that we hit the global minimum.
So now we can put everything together and form the full GP-UCB algorithm, which uses the minimum value found as the the next point to sample. This looks like this:
The output of this looks like this:
We see that the vast majority of the samples are at the actual minimum point, and that the algorithm didn’t require too many samples at the other points to locate the minimum. It’s a simple matter to change the dimensionality so that we can handle higher-dimensional problems. We expect to see a much-smaller-than-exponential increase in the complexity when moving to higher dimensions.


Introduction
How Strongtalk relates to Smalltalk-80
The Programming Environment
The Launcher
Hierarchy Browsers
Class Browsers
A Little Project- Adding a forward button to the HTML browser
Dealing with a typechecking error
The Virtual Machine and Performance
How Adaptive Optimization Works
A Micro-Benchmark
The Consequences of Adaptive Optimization on Coding Style. Examining the Inlining Structure
Examining Compilation and Controlling Compiled Code; The Inlining Database
Other Issues: Fast Floating Point and Debugging Support
The Type System: Integrating a Type System with Smalltalk
A Two-Page Introduction to the Strongtalk Type System
Mixins
The User Interface Framework
Conclusion- Where to go from here
More History on the Strongtalk Project


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Why not buy a new awesome theme?
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KISS THE GIRLS ** (out of four) a review by Bill Chambers WARNING-SPOILERS
starring Morgan Freeman, Ashley Judd, Cary Elwes, Jay O. Sanders screenplay by David Klass, based on the novel by James Patterson directed by Gary Fleder
(If you like this review, and you must have more, visit FILM FREAK CENTRAL http://www.geocities.com/Hollywood/Set/7504 It's getting better.)
Morgan Freeman teamed with Brad Pitt in the best movie of 1995, David Fincher's neo-noir Se7en.  Just two years later, America's Best Actor is headlining another serial killer chiller thriller, but in Kiss The Girls, he takes an unfortunate step backwards from shock to schlock.
Freeman stars as Alex Cross, a forensic psychologist who points out, presumably for police terminology-challenged audience members, that his job is to figure out "the how's and why's." When his niece is kidnapped in North Carolina's Research Triangle by a deranged killer who calls himself Casanova, Cross assists the small-town homicide detectives in tracking down the murderer's whereabouts. Assisting Cross is Kate, the woman who got away (Judd), a doctor who, like each of the victims, is young and gorgeous, but not as weak.
By the third scene, the screenplay isn't working: why, exactly, did the filmmakers choose to have Cross travel from Washington to North Carolina instead of setting the case in his hometown, since the shift in location does little to slow down his investigation?  At one point, Cross believes he has discovered the killer's identity, and he decides to tail him for an evening. All evidence then has it that this is their guy. So, they stake out his home, armed with guns. Who does? A S.W.A.T. team, perhaps? No, just Cross and two police officers, with the perky Kate waiting in the car. Casanova is one of the most wanted men in America; the F.B.I. have been trying to capture him for months, yet it never occurs to Cross and company to call for back-up. The outcome is both tragic and idiotic.
Most unbelievably is that the hick cops (no pun intended) and the F.B.I. are always waiting for the next body to show up. Why?  So why aren't any of them patrolling this area instead of twiddling their thumbs? Worse, they can't find Casanova's hideout; how many dungeons can there be in these woodlands?
The characters are as lazily conceived as the plot. Can we please have a moratorium on will-they-or-won't-they black man-white woman relationships, a la The Pelican Brief? Had this film featured Harrison Ford in the role of Cross, you can bet your eight-fifty he'd have bedded Kate by the end of act two. Cross, we assume, is intelligent, authoritative and wise, but only because Morgan Freeman is playing him. Ashley Judd, an agreeable screen presence, unfortunately lacks Freeman's worldliness, so Kate remains a nice but bland girl-next-door type who goes kickboxing after work.
Director Fleder made the little seen but delightful Things To Do In Denver When You're Dead. Kiss The Girls does shine at times, too: Freeman's first scene, in which he talks a suicidal woman out of shooting herself, is a great way to introduce his character. And the opening credit sequence is outstanding (though it continues a dispiriting trend, a la Mimic, of having opening titles more involving and inventive than any scenes in the film that follows them). Fleder has some visual flair, but so what? Kiss The Girls is littered with overblown, over-directed scenes, too many supporting characters, too many plot holes... Denver was pretty well written: witty, sad and scary. It's clear that Fleder is a craftsman, only as strong as his script.
Ah, but Morgan Freeman... why he would be attracted to this material, especially so soon after appearing in the defining masterpiece of the genre, is curious. But he does more than just make Kiss The Girls watchable whenever he's on screen; he makes it compelling, and he deserves better.
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


|
Trinamic TMC26X Stepper Driver for Arduino
|
Go to the source code of this file.
| #define BLANK_TIMING_PATTERN 0x18000ul |
Definition at line 66 of file TMC26XStepper.cpp.
| #define BLANK_TIMING_SHIFT 15 |
Definition at line 67 of file TMC26XStepper.cpp.
| #define CHOPPER_CONFIG_REGISTER 0x80000ul |
Definition at line 44 of file TMC26XStepper.cpp.
| #define CHOPPER_MODE_STANDARD 0x0ul |
Definition at line 62 of file TMC26XStepper.cpp.
| #define CHOPPER_MODE_T_OFF_FAST_DECAY 0x4000ul |
Definition at line 63 of file TMC26XStepper.cpp.
| #define COOL_STEP_REGISTER 0xA0000ul |
Definition at line 45 of file TMC26XStepper.cpp.
| #define CURRENT_DOWN_STEP_SPEED_PATTERN 0x6000ul |
Definition at line 78 of file TMC26XStepper.cpp.
| #define CURRENT_SCALING_PATTERN 0x1Ful |
Definition at line 86 of file TMC26XStepper.cpp.
| #define DEFAULT_MICROSTEPPING_VALUE 32 |
Definition at line 40 of file TMC26XStepper.cpp.
| #define DOUBLE_EDGE_STEP 0x100ul |
Definition at line 54 of file TMC26XStepper.cpp.
| #define DRIVER_CONFIG_REGISTER 0xE0000ul |
Definition at line 47 of file TMC26XStepper.cpp.
| #define DRIVER_CONTROL_REGISTER 0x0ul |
Definition at line 43 of file TMC26XStepper.cpp.
| #define HYSTERESIS_DECREMENT_PATTERN 0x1800ul |
Definition at line 68 of file TMC26XStepper.cpp.
| #define HYSTERESIS_DECREMENT_SHIFT 11 |
Definition at line 69 of file TMC26XStepper.cpp.
| #define HYSTERESIS_LOW_SHIFT 7 |
Definition at line 71 of file TMC26XStepper.cpp.
| #define HYSTERESIS_LOW_VALUE_PATTERN 0x780ul |
Definition at line 70 of file TMC26XStepper.cpp.
| #define HYSTERESIS_START_VALUE_PATTERN 0x78ul |
Definition at line 72 of file TMC26XStepper.cpp.
| #define HYSTERESIS_START_VALUE_SHIFT 4 |
Definition at line 73 of file TMC26XStepper.cpp.
| #define INITIAL_MICROSTEPPING 0x3ul |
Definition at line 102 of file TMC26XStepper.cpp.
| #define MICROSTEPPING_PATTERN 0xFul |
Definition at line 52 of file TMC26XStepper.cpp.
| #define MINIMUM_CURRENT_FOURTH 0x8000ul |
Definition at line 77 of file TMC26XStepper.cpp.
| #define RANDOM_TOFF_TIME 0x2000ul |
Definition at line 65 of file TMC26XStepper.cpp.
| #define READ_MICROSTEP_POSTION 0x0ul |
Definition at line 56 of file TMC26XStepper.cpp.
| #define READ_SELECTION_PATTERN 0x30ul |
Definition at line 59 of file TMC26XStepper.cpp.
| #define READ_STALL_GUARD_AND_COOL_STEP 0x20ul |
Definition at line 58 of file TMC26XStepper.cpp.
| #define READ_STALL_GUARD_READING 0x10ul |
Definition at line 57 of file TMC26XStepper.cpp.
| #define READOUT_VALUE_PATTERN 0xFFC00ul |
Definition at line 99 of file TMC26XStepper.cpp.
| #define REGISTER_BIT_PATTERN 0xFFFFFul |
Definition at line 49 of file TMC26XStepper.cpp.
| #define SE_CURRENT_STEP_WIDTH_PATTERN 0x60ul |
Definition at line 80 of file TMC26XStepper.cpp.
| #define SE_MAX_PATTERN 0xF00ul |
Definition at line 79 of file TMC26XStepper.cpp.
| #define SE_MIN_PATTERN 0xful |
Definition at line 81 of file TMC26XStepper.cpp.
| #define STALL_GUARD2_LOAD_MEASURE_REGISTER 0xC0000ul |
Definition at line 46 of file TMC26XStepper.cpp.
| #define STALL_GUARD_CONFIG_PATTERN 0x17F00ul |
Definition at line 87 of file TMC26XStepper.cpp.
| #define STALL_GUARD_FILTER_ENABLED 0x10000ul |
Definition at line 84 of file TMC26XStepper.cpp.
| #define STALL_GUARD_TRESHHOLD_VALUE_PATTERN 0x17F00ul |
Definition at line 85 of file TMC26XStepper.cpp.
| #define STALL_GUARD_VALUE_PATTERN 0x7F00ul |
Definition at line 88 of file TMC26XStepper.cpp.
| #define STATUS_OPEN_LOAD_A 0x20ul |
Definition at line 96 of file TMC26XStepper.cpp.
| #define STATUS_OPEN_LOAD_B 0x40ul |
Definition at line 97 of file TMC26XStepper.cpp.
| #define STATUS_OVER_TEMPERATURE_SHUTDOWN 0x2ul |
Definition at line 92 of file TMC26XStepper.cpp.
| #define STATUS_OVER_TEMPERATURE_WARNING 0x4ul |
Definition at line 93 of file TMC26XStepper.cpp.
| #define STATUS_SHORT_TO_GROUND_A 0x8ul |
Definition at line 94 of file TMC26XStepper.cpp.
| #define STATUS_SHORT_TO_GROUND_B 0x10ul |
Definition at line 95 of file TMC26XStepper.cpp.
| #define STATUS_STALL_GUARD_STATUS 0x1ul |
Definition at line 91 of file TMC26XStepper.cpp.
| #define STATUS_STAND_STILL 0x80ul |
Definition at line 98 of file TMC26XStepper.cpp.
| #define STEP_INTERPOLATION 0x200ul |
Definition at line 53 of file TMC26XStepper.cpp.
| #define T_OFF_PATTERN 0xful |
Definition at line 64 of file TMC26XStepper.cpp.
| #define T_OFF_TIMING_PATERN 0xFul |
Definition at line 74 of file TMC26XStepper.cpp.
| #define VSENSE 0x40ul |
Definition at line 55 of file TMC26XStepper.cpp.


Initializes a new instance of the AccelerationBands
class.
| Parameters |
string |
name |
The name of this indicator. |
int |
period |
The period of the three moving average (middle, upper and lower band). |
decimal |
width |
A coefficient specifying the distance between the middle band and upper or lower bands. |
*MovingAverageType |
movingAverageType |
(Optional) Type of the moving average. Default: MovingAverageType.Simple. |
Return
AccelerationBands
- The new AccelerationBands
indicator object.
Initializes a new instance of the AccelerationBands
class.
| Parameters |
int |
period |
The period of the three moving average (middle, upper and lower band). |
decimal |
width |
A coefficient specifying the distance between the middle band and upper or lower bands. |
Return
AccelerationBands
- The new AccelerationBands
indicator object.
Initializes a new instance of the AccelerationBands
class.
| Parameters |
int |
period |
The period of the three moving average (middle, upper and lower band). |
Return
AccelerationBands
- The new AccelerationBands
indicator object.


A strong hope; a beautiful hope.
I really hope you configured this server and deployed this website with Ansible, because as this project grows, it will become more and more complicated, and burn you with the fire of a thousand suns if you try to keep using bash for a level of complexity and abstraction that it wasn't designed for.
Oh, how we laugh, we lucky survivors of the bash/Perl era. How we laugh, desperately, with tears in our eyes, seeking understanding for all the horror we've seen.


Shadowsocks QRCode Generator
Server information
Server Address (IP/Domain)
Server Port
Password
Encryption method
chacha20-ietf-poly1305
aes-256-cfb
aes-128-cfb
aes-192-cfb
aes-256-ofb
aes-128-ofb
aes-192-ofb
aes-128-ctr
aes-192-ctr
aes-256-ctr
aes-128-cfb8
aes-192-cfb8
aes-256-cfb8
aes-128-cfb1
aes-192-cfb1
aes-256-cfb1
bf-cfb
camellia-128-cfb
camellia-192-cfb
camellia-256-cfb
cast5-cfb
chacha20
idea-cfb
rc2-cfb
rc4-md5
salsa20
seed-cfb
Generate


Usability – details matter as much as features
Perhaps the most striking thing about the Play framework is that its biggest advantage over other Java web application development frameworks does not fit into a neat feature list, and is only apparent after you have used it to build something. That advantage is usability.
Note that usability is separate from functionality. In what follows, I am not suggesting that you cannot do this in some other framework: I merely claim that it is easier and more pleasant in Play. I need to emphasise this because geeks often have a total blind spot for usability because they enjoy figuring out difficult things, and under-appreciate the value of things that Just Work.
Written by web developers for web developers
The first hint that something different is going on here is when you first hear that the Play framework is ‘written by web developers for web developers, an unconventional positioning that puts the web’s principles and conventions first and Java’s second. Specifically, this means that the Play framework is more in line with the W3C’s Architecture of the World Wide Web than it is with Java Enterprise Edition (Java EE) conventions.
URLs for perfectionists
For example, the Play framework, like other modern web frameworks, provides first-class support for arbitrary ’clean’ URLs, which has always been lacking from the Servlet API. It is no coincidence that at the time of writing (March 2010), Struts URLs for perfectionists, a set of work-arounds for the Servlet API-based Struts 1.x web framework, remains the third-most popular out of 160 articles on www.lunatech-research.com despite being a 2005 article about a previous-generation Java web technology.
In Servlet-based frameworks, the Servlet API does not provide useful URL-routing support; Servlet-based frameworks configure web.xml
to forward all requests to a single controller Servlet, and then implement URL routing in the framework, with additional configuration. At this point, it does not matter whether the Servlet API was ever intended to solve the URL-routing problem and failed by not being powerful enough, or whether it was intended to be a lower-level API that you do not build web applications in directly. Either way, the result is the same: web frameworks add an additional layer on top of the Servlet API, itself a layer on top of HTTP.
Play combines the web framework, HTTP API and the HTTP server, which allows it to implement the same thing more directly with fewer layers and a single URL routing configuration. This configuration, like Grails’ and Cake PHP’s, reflects the structure of an HTTP request – HTTP method, URL path, and then the mapping:
# Play 'routes' configuration file…
# Method URL path Controller
GET / Application.index
GET /about Application.about
POST /item Item.addItem
GET /item/{id} Item.getItem
GET /item/{id}.pdf Item.getItemPdf
In this example, there is more than one controller. We also see the use of an id
URL parameter in the last two URLs.
Better usability is not just for normal people
Another way of looking at the idea that Play is by and for web developers is to consider how a web developer might approach software design differently to a Java EE developer. When you write software, what is the primary interface? If you are a web developer, the primary interface is a web-based user-interface constructed with HTML, CSS and (increasingly) JavaScript. A Java EE developer, on the other hand, may consider their primary interface to be a Java API, or perhaps a web services API, for use by other layers in the system.
This difference is a big deal, because a Java interface is intended for use by other programmers, while a web user-interface is intended for use by non-programmers. In both cases, good design includes usability, but usability for normal people is not the same as usability for programmers. In a way, usability for everyone is a higher standard than usability for programmers, when it comes to software, because programmers can cope better with poor usability. This is a bit like the Good Grips kitchen utensils: although they were originally designed to have better usability for elderly people with arthritis, it turns out that making tools easier to hold is better for all users.
The Play framework is different because the usability that you want to achieve in your web application is present in the framework itself. For example, the web interface to things like the framework documentation and error messages shown in the browser is just more usable. Along similar lines, the server’s console output avoids the pages full of irrelevant logging and pages of stack traces when there is an error, leaving more focused and more usable information for the web developer.
Try to imagine a JSF web application producing a stack trace this short. In fact, Play goes further: instead of showing the stack trace, the web application shows the last line of code within the application that appears in the stack trace. After all, what you really want to know is where things first went wrong in your own code.
This kind of usability does not happen by itself; the Play framework goes to considerable effort to filter out duplicate and irrelevant information, and focus on what is essential.
Quality is in the details
In the Play framework, much of the quality turns out to be in the details: they may be small things individually, rather than big important features, but they add up to result in a more comfortable and more productive development experience. The warm feeling you get when building something with Play is the absence of the frustration that usually results from fighting the framework.
By Peter Hilton, originally published on the Lunatech Research blog.


Recipe 9.4. Working with a Thread Pool
Credit: John Nielsen, Justin A
Problem
You want your main thread to be able to
farm out processing tasks to a pool of worker threads.
Solution
The
Queue.Queue type is the simplest and most
effective way to coordinate a pool of worker threads. We could group
all the needed data structures and functions into a class, but
there's no real need to. So, here they are, shown as
globals instead:
import threading, Queue, time, sys
# Globals (start with a capital letter)
Qin = Queue.Queue( )
Qout = Queue.Queue( )
Qerr = Queue.Queue( )
Pool = [ ]
def report_error( ):
''' we "report" errors by adding error information to Qerr '''
Qerr.put(sys.exc_info( )[:2])
def get_all_from_queue(Q):
''' generator to yield one after the others all items currently
in the Queue Q, without any waiting
'''
try:
while True:
yield Q.get_nowait( )
except Queue.Empty:
raise StopIteration
def do_work_from_queue( ):
''' the get-some-work, do-some-work main loop of worker threads '''
while True:
command, item = Qin.get( ) # implicitly stops and waits
if command == 'stop':
break
try:
# simulated work functionality of a worker thread
if command == 'process':
result = 'new' + item
else:
raise ValueError, 'Unknown command %r' % command
except:
# unconditional except is right, since we report _all_ errors
report_error( )
else:
Qout.put(result)
def make_and_start_thread_pool(number_of_threads_in_pool=5, daemons=True):
''' make a pool of N worker threads, daemonize, and start all of them '''
for i in range(number_of_threads_in_pool):
new_thread = threading.Thread(target=do_work_from_queue)
new_thread.setDaemon(daemons)
Pool.append(new_thread)
new_thread.start( )
def request_work(data, command='process'):
''' work requests are posted as (command, data) pairs to Qin '''
Qin.put((command, data))
def get_result( ):
return Qout.get( ) # implicitly stops and waits
def show_all_results( ):
for result in get_all_from_queue(Qout):
print 'Result:', result
def show_all_errors( ):
for etyp, err in get_all_from_queue(Qerr):
print 'Error:', etyp, err
def stop_and_free_thread_pool( ):
# order is important: first, request all threads to stop...:
for i in range(len(Pool)):
request_work(None, 'stop')
# ...then, wait for each of them to terminate:
for existing_thread in Pool:
existing_thread.join( )
# clean up the pool from now-unused thread objects
del Pool[:]
Discussion
It is generally a mistake to architect a multithreading program on
the premise of having it spawn arbitrarily high numbers of threads as
needed. Most often, the best architecture for such a program is based
on farming out work to a fixed and relatively small number of
worker threadsan arrangement known as a
thread pool. This recipe shows a very simple
example of a thread pool, focusing on the use of
Queue.Queue instances as the most useful and
simplest way for inter-thread communication and synchronization.
In this recipe, worker threads run function
do_work_from_queue, which has the right structure
for a typical worker thread but does really minimal
"processing" (just as an example).
In this case, the worker thread computes a
"result" by prepending the string
'new' to each arriving item (note that this
implicitly assumes that arriving items are strings). In your
applications, of course, you will have, in the equivalent of this
do_work_from_queue function, more substantial
processing, and quite possibly different kinds of processing
depending on the value of the command parameter.
In addition to the worker threads in the pool, a multithreading
program often has other specialized threads for various purposes,
such as interfacing to various entities external to the program (a
GUI, a database, a library that is not guaranteed to be thread-safe).
In this recipe, such specialized threads are not shown. However, it
does include at least a "main
thread", which starts and stops the thread pool,
determines the units of work to be farmed out, and eventually gathers
all results and any errors that may have been reported.
In your applications, you may or may not want to start and stop the
thread pool repeatedly. Most typically, you may start the pool as a
part of your program's initialization, leave it
running throughout, and stop it, if at all, only as a part of your
program's final cleanup. If you set your worker
threads as "daemons", as this
recipe's function
make_and_start_thread_pool sets them by default, it
means that your program will not continue running when only worker
threads are left. Rather, your program will terminate as soon as the
main thread terminates. Again, this arrangement is a typically
advisable architecture. At any rate, the recipe also provides a
function stop_and_free_thread_pool, just in case you
do want to terminate and clean up your thread
pool at some point (and possibly later make and restart another one
with another call to make_and_start_thread_pool).
An example use of the functionality in this recipe might be:
for i in ('_ba', '_be', '_bo'): request_work(i)
make_and_start_thread_pool( )
stop_and_free_thread_pool( )
show_all_results( )
show_all_errors( )
The output from this snippet should normally be:
Result: new_ba
Result: new_be
Result: new_bo
although it's possible (but
quite unlikely) that two of the results might end up exchanged. (If
ordering of results is important to you, be sure to add a progressive
number to the work requests you post from the main thread, and report
it back to the main thread as part of each result or error.)
Here is a case where an error occurs and gets reported:
for i in ('_ba', 7, '_bo'): request_work(i)
make_and_start_thread_pool( )
stop_and_free_thread_pool( )
show_all_results( )
show_all_errors( )
The output from this snippet should normally be (net of an extremely
unlikely, but not impossible, exchange between the two
"Result" lines):
Result: new_ba
Result: new_bo
Error: exceptions.TypeError cannot concatenate 'str' and 'int' objects
The worker thread that gets the item 7 reports a
TypeError because it tries to concatenate the
string 'new' with this item, which is an
intan invalid operation. Not to worry: we
have the try/except statement
in function do_work_from_queue exactly to catch any
kind of error, and Queue Qerr and
functions report_error and
show_all_errors exactly to ensure that errors do not
pass silently, unless explicitly silenced, which is a key point of
Python's general approach to programming.
See Also
Library Reference docs on
tHReading and Queue modules;
Python in a Nutshell chapter on
threads.
|


2017 New York State Crime by County
Total Overall Crimes
(Mouseover for County Name and Crime Total)
How Safe is Upstate New York?
53%
of all NYS crime occurs outside of New York City.
Erie
is the
most
dangerous
county in Upstate NY and spends
28USD
per resident on police services.
Hamilton
is the
safest
county in Upstate NY and spends
148USD
per resident on police services.


{% extends "layout.html" %} {% block content %}
This is a portfolio site about anything that can be put in a portfolio.


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