Go to the source code of this file.
Classes | |
| struct | XepDispatchMessage_t |
| struct | XepDispatchSubscriberInfo_t |
| struct | XepDispatch_t |
Macros | |
| #define | XEP_ERROR_OK 0 |
| #define | XEP_ERROR_OTHER 1 |
| #define | XEP_ERROR_TIMEOUT 2 |
| #define | XEP_ERROR_NOT_FOUND 3 |
| #define | XEP_ERROR_DISPATCH_UNKNOWN 10 |
| #define | XEP_ERROR_DISPATCH_FULL 11 |
Functions | |
| uint32_t | dispatch_get_instance_size (void) |
| Get size of dispatch struct. More... | |
| uint32_t | dispatch_create (XepDispatch_t **dispatch, void *instance_memory) |
| Create dispatch. More... | |
| uint32_t | dispatch_set_notify_value (XepDispatch_t *dispatch, uint32_t notify_value) |
| Configure which notify value the dispatcher should use to notify tasks. More... | |
| uint32_t | dispatch_register (void **queue, void **lock, XepDispatch_t *dispatch, uint32_t queue_length) |
| Register to dispatcher, returning the queue used for dispatch messages. More... | |
| uint32_t | dispatch_subscribe (XepDispatch_t *dispatch, XepDispatchMessageTags_t message_tag, void *queue, void *lock) |
| Subscribe to message tag. More... | |
| uint32_t | dispatch_get_message_memoryblock (MemoryBlock_t **memoryblock, XepDispatch_t *dispatch, uint32_t length) |
| Request a memoryblock from the dispatch memory poolset. More... | |
| uint32_t | dispatch_release_message (XepDispatch_t *dispatch, XepDispatchMessage_t *message) |
| Release message. More... | |
| uint32_t | dispatch_send_message (uint32_t *message_id, XepDispatch_t *dispatch, XepDispatchMessageTags_t message_tag, MemoryBlock_t *memoryblock, uint32_t length) |
| Send message on dispatcher. More... | |
| uint32_t | dispatch_forward_message (XepDispatch_t *dispatch, XepDispatchMessageTags_t message_tag, XepDispatchMessage_t *message) |
| Forward message to a different message tag. More... | |
| uint32_t | dispatch_reply_message (uint32_t *message_id, XepDispatch_t *dispatch, XepDispatchMessage_t *received_message, XepDispatchMessageTags_t message_tag, MemoryBlock_t *memoryblock, uint32_t length) |
| Reply to message. More... | |
| #define XEP_ERROR_DISPATCH_FULL 11 |
| #define XEP_ERROR_DISPATCH_UNKNOWN 10 |
| #define XEP_ERROR_NOT_FOUND 3 |
| #define XEP_ERROR_OK 0 |
| #define XEP_ERROR_OTHER 1 |
| #define XEP_ERROR_TIMEOUT 2 |
| uint32_t dispatch_create | ( | XepDispatch_t ** | dispatch, |
| void * | instance_memory | ||
| ) |
Create dispatch.
| uint32_t dispatch_forward_message | ( | XepDispatch_t * | dispatch, |
| XepDispatchMessageTags_t | message_tag, | ||
| XepDispatchMessage_t * | message | ||
| ) |
Forward message to a different message tag.
| uint32_t dispatch_get_instance_size | ( | void | ) |
Get size of dispatch struct.
| uint32_t dispatch_get_message_memoryblock | ( | MemoryBlock_t ** | memoryblock, |
| XepDispatch_t * | dispatch, | ||
| uint32_t | length | ||
| ) |
Request a memoryblock from the dispatch memory poolset.
| uint32_t dispatch_register | ( | void ** | queue, |
| void ** | lock, | ||
| XepDispatch_t * | dispatch, | ||
| uint32_t | queue_length | ||
| ) |
Register to dispatcher, returning the queue used for dispatch messages.
| uint32_t dispatch_release_message | ( | XepDispatch_t * | dispatch, |
| XepDispatchMessage_t * | message | ||
| ) |
Release message.
Will also release underlying memoryblock from dispatch memory poolset.
| uint32_t dispatch_reply_message | ( | uint32_t * | message_id, |
| XepDispatch_t * | dispatch, | ||
| XepDispatchMessage_t * | received_message, | ||
| XepDispatchMessageTags_t | message_tag, | ||
| MemoryBlock_t * | memoryblock, | ||
| uint32_t | length | ||
| ) |
Reply to message.
Will send message to sender even if the sender does not subscribe to such messages.
| uint32_t dispatch_send_message | ( | uint32_t * | message_id, |
| XepDispatch_t * | dispatch, | ||
| XepDispatchMessageTags_t | message_tag, | ||
| MemoryBlock_t * | memoryblock, | ||
| uint32_t | length | ||
| ) |
Send message on dispatcher.
| uint32_t dispatch_set_notify_value | ( | XepDispatch_t * | dispatch, |
| uint32_t | notify_value | ||
| ) |
Configure which notify value the dispatcher should use to notify tasks.
| uint32_t dispatch_subscribe | ( | XepDispatch_t * | dispatch, |
| XepDispatchMessageTags_t | message_tag, | ||
| void * | queue, | ||
| void * | lock | ||
| ) |
Subscribe to message tag.


| 71 | (A) | witħ mekiłł langour at the laste als oure lorde walde |
| 69 | (C) | ¶ wytħ moche angur at þe laste as our lorde it wolde |
| 70 | (D) | with mycħ langour at þe last as our lord wold |
| 67 | (E) | ¶ with meche desese at þe last . as owre lord wulde |
| (Ex) | ---- no text ---- | |
| 71 | (L) | with mychel langour atte laste as our lord wolde |
| 66 | (P) | with mych anger at þe laste as oure lorde wolde |
| 69 | (U) | Withħ muche anger at last / as oure lord wolde |
| (V) | ---- no text ---- |


As every String concatenation copies the whole
string, usually it is preferable to replace it with explicit calls to StringBuilder.append()
or
StringBuffer.append()
.
Example:
String str = "";
for(int i=0; i<10; i++) {
str += i;
}
After the quick-fix is applied:
String str = "";
StringBuilder strBuilder = new StringBuilder(str);
for(int i = 0; i<10; i++) {
strBuilder.append(i);
}
str = strBuilder.toString();
Sometimes, the quick-fixes allow you to convert a String
variable to a StringBuilder
or
introduce a new StringBuilder
. Be careful if the original code specially handles the null
value, as the
replacement may change semantics. If null
is possible, null-safe fixes that generate
necessary null-checks are suggested. Also, it's not guaranteed that the automatic replacement will always be more performant.


Turn-By-Turn Chessboard
Stats
Black's Advantages
White's Advantages
Tools
Toggle Orientation
Reset Board
Fen
Load Fen
Move
Play Move


Food Order Portal
Order Food via Ethereum blockchain.


When people name their guns, or swords, or other conventional weapons, we have I Call It "Vera". This trope is when people name their "weapons." Or in plain English, their arms. This also sometimes happens with fists or any other body part that can be used in a fight. Usually occurs in the context of a threat, an actual fight, or just standing in front of a mirror admiring their physique (kissing optional).
Frequently Truth in Television. Has absolutely nothing to do with A Date with Rosie Palms. See I Call Him "Mister Happy" for when people choose to name their more...intimate body parts.
Examples
- Crossed over with I Call It "Vera" in Aldnoah.Zero, where Countess Femieanne has named her Kataphrakt's Rocket Fists - all six of them.
- Yowamushi Pedal: Izumida, a rival biker from Hakone, has named his left pectorals Frank and Andy - after two famous cyclists. Later on in the story, he also introduces his back muscle, Fabian. According to him, his muscles all have distinct personalities and are constantly giving him advice as he races.
- In the Gravity Falls fanfic Anyway, I've Been There, Mabel tells Dipper that if any bully starts giving him trouble, "I'll show him a couple things I learned from Grunkle Stan! Thing one, and thing two," holding up her fists for emphasis.
- In the Weird Sisters series, Helga has "Old Betsy" and "The Five Avengers", like in canon. When she become Multiarmed And Dangerous, she calls her two extra fists "Punchy McPunchface" and "The Enforcer".
- In Shrek the Third, Shrek jokes that if Arty doesn't agree to become king, he'll introduce him to his good friends, Persuasion and Reason. He holds up one fist at a time - "Here's Persuasion, and here's Reason".
- Bambi II: Ronno calls his newly budding antlers "Stab" and "Jab" (or "The Boys" when used together).
- Cars 3: While training Lightning McQueen, Cruz Ramirez encourages him to name his wheels. McQueen finds it ridiculous, and half-heartedly calls them "Righty", "Lefty", "Backy" and "Backy, Jr."
- Sharktale: When Oscar is bragging about how he "killed" a shark.
Oscar: So I say, "You see this guy?" [points to a bicep] "Well, he has a brother that lives right over here..." [points at other bicep] "...and I think it's time for a little family reunion!"
- In The Rundown, Travis has named his left and right legs "Thunder and Lightning".
- Anchorman: The Legend of Ron Burgundy has Ron Burgundy threaten a cameo-appearance Jack Black to fisticuffs featuring lefty and righty, or "Jack Johnson and Tom O'Leary."

- The Abyss: One of the heroes (Blowfish) calls his right fist "The Hammer". He's a gigantic ex-Marine and boxing champion, and uses the Hammer to knock out the psychotic marine Coffey in a single (surprise) blow.
- In the documentary Dawg Fight about the backyard boxing scene in Miami, one fighter nicknamed his fists "chicken and fries," stating that his opponents supply the ketchup.
- One Chuck Norris Fact claims that Chuck is planning to sue NBC because Law & Order are the trademarked names of his left and right legs.
- June in Armadillo Fists calls the armadillos she has instead of fists "Jocko" and "Judy." Justified since they're living animals grafted onto her body, so they're half body parts, half pets.
- In Zombies and Shit, Mr. T has taken to calling his robotic fists "Brick" and "Mortar." Much to his annoyance, another character points out the Fridge Logic that since his fists are now literally made of steel, they're in fact harder than those names imply.
- 30 Rock, Jack's big Boston Irish family has a brawl:
Jack Donaghy: [takes off jacket] I think of all the things that I've been holding inside me that I've wanted to say to you, but [puts up fists] I'm gonna let St. Patrick and St. Michael do my talking for me!
Jimmy Donaghy: [puts up fists] You'll have to get through Tip O'Neill and Bobby Sands first!
Eddie Donaghy: You call those fist names? [puts up fists] Say hello to Bono and Sandra Day O'Connor!
Jack Donaghy: Those are the stupidest fist names I've ever heard. - In The A-Team episode "The Taxicab Wars", Murdock annoys B.A. by introducing himself as Dr. Vern, and his assistent Socky. B.A. says "This is my talking fist. His name is Knock-Out. Would you like to hear Knock-Out speak?"
- Used hilariously during the Comedy Central Roast of Pamela Anderson. After it's all over, she steps on stage to thank the people for coming, then very bluntly draws attention to her kinda see-through shirt. After apologizing, she then states that she couldn't have been there without her two best friends, "Poncho and Lefty," points at her breasts, then enthusiastically bounced them around.
- When Buster gets a giant hand prosthetic in season four of Arrested Development, he refers to it as "Thunder" and his regular hand as "Light Drizzle". He explains that it's because Light Drizzle will just annoy you, while Thunder will eff you up.
- Fuller House: Guest star Macy Gray names her fists "Heaven and Hell."
- In an episode of How I Met Your Mother Ted tells Robin that he's going to visit Sandy, a co-worker who harassed her, and that Sandy will listen to common sense and reasonable discourse. Robin asks if that's what Ted named his fists, and Ted replies that they're his feet. He's a kicker.
- In The Daily Show, Jon Stewart apparently calls his fists Simon and Garfunkel.
- Mother Goose and Grimm for May 19th, 2012◊. The Cat in the Hat and The Grinch are in a bar. The Cat in the Hat holds up his fists in a threatening manner and says "Oh yeah? You want to meet Thing 1 and Thing 2?"
- Inverted in the Rocky pinball machine; it features two pairs of flippers, named "Left Jab", "Right Hook", "Left Hook", and "Right Jab".
- Santino Marella calls his biceps "Pasquale and Francesco".
- CM Punk once called his fists "Regular and Unleaded."
- In Super Paper Mario, when Mr. L mocks Count Bleck's other flunkies in a cutscene, an angry O'Chunks offers to introduce him to "Fist Jr. an' his wee pal, Slappie!"
- In Team Fortress 2 the Heavy's fists are his default melee weapon and can be named like all other weapons allowing this trope to be invoked by the players.
- In Brütal Legend, a Bouncer nicknamed 'Mittens' threatens to use the only two mooks he knows can get the job done: Fear (left fist) and Pain (Right fist).
- In Mega Man X: Command Mission Absolute Zero fights with his claws rather than weapons like everybody else. Hence, the panel where you choose which weapons to attack with names them Killer Left and Brutal Right.
- In the multiplayer version of Don't Starve , if someone playing as Maxwell has killed other player characters, Wilson will give this quote when examining him: "I'll show you Logic and Reason... those're my fists!"
- In an Easter Egg in the Strong Bad Email "road trip", Bubs combines this with a reference to a famous Los Angeles law firm:
Coach Z: Whaddya mean, I'm the green Bubs? If anything, you're the orange Coach Z!
Bubs: The next person to call me "the orange Coach Z" is gonna get a free consultation with my friends Jacoby (balls up his left fist) and Meyers! (balls up his right fist)
- The Metal Gear Solid-based The Last Days of FOXHOUND is the Trope Namer. In one comic, Liquid Snake reveals that he named his fists "Righty" and "Lefty".
- Goro, a muscular surgeon in The Dragon Doctors, was de-strengthed for a while and quite delighted to get her big arms back. After cracking a bug-man's back plates into alignment again, she thanks her "lovely assistants!"
- In Skin Horse, Konstantin declares his biceps have clever names. It later transpires this applies to all his muscles, and his fists of course.
- Chuck Norris Facts says that Chuck Norris nicknamed his legs "Law and Order" and would sue the show of the same name for copyright infringement.
- In Blogging Twilight, Emmett calls his arms "The Pain Train". They depart every hour, on the hour, because that's what's up.
- In the "Nicktoons" Nostalgia Critic review, while reviewing Hey Arnold!, Critic shows the example from that show (see Western Animation below) and says he has named his fists "Betsy" and "Pancake".
- Invoked in Episode 39 of the Yogscast's Jaffa Factory series. Sips mentions that he never carries any weapons (presumably because a big-shot CEO would rely exclusively on others for protection). Simon Lane jokingly suggests that he actually has the two lethal weapons of Lefty and Righty on him at all times. Sips says that's true, but corrects him on the names: Fuckin' A and Fuckin' B.
- Fuckin' A and Fuckin' B carried on to The Elder Scrolls V: Skyrim, where Sips's character, Princess Leia the lizard/wizard/fabulous prostitute, has upgraded them to throw firebolts.
- Lauren Lopez memorably portrays George Eliot in Edgar Allan Poe's Murder Mystery Dinner Party as a wannabe Sweet Polly Oliver who menacingly threatens people with "The Duke of Coventry" and "Humphrey Cadwallader".
- In Recess, Spinelli threatens a couple times to introduce students to her good friend, "Madam Fist." In The Movie, Recess: School's Out, Vince remarks that it seems to be her answer to everything.
- Helga from Hey Arnold!, meanwhile, has "Old Betsy and the Five Avengers."
Harold: Old who, and a the five what?

Harold: Wait, your fists have names? You're confusing me! - In the My Little Pony: Friendship Is Magic episode "The Mysterious Mare-Do-Well", Applejack calls her back legs "Bucky MacGillicuddy and Kicks McGee".
- Bender in the initial finale of Futurama affectionately names his hands Grabby and Squeezey.
- In a later episode, "Assie Come Home", his arms are named Gropey and Cheaty.
- In "Into the Wild Green Yonder", he refers to his footcups as Stompy and Smashy when he offers to kill a leech.
- The Simpsons:
- Groundskeeper Willie refers to his fists as "The Lads".
- In "I, D'oh-bot":
Pimple Faced Kid: Are you here with your children, sir?Moe: Uh, yeah, my two kids. (holds up fists) "Screw", and "You". (kisses both affectionately)- In "The Man in the Blue Flannel Pants," Dolph says Bart will hear from his sisters and raises his fists.
Jimbo: Your fists are sisters?Dolph: Yeah, "Poke-ahontas" and "Sock-a-jaw-ea".Bart: Nice save. - In the Chowder episode "The Moldy Touch":
Mung: Funjl, if you don't release Chowder, I'll have to introduce you to my friends, (holds up fists) Mr. Fisty and his wife, Elaine.
- A variant appears in A Charlie Brown Christmas, where Lucy says she has five good reasons for Linus to stop dragging his blanket around on stage during the Christmas pageant and counts off her fingers as she curls them into a fist.
- Subverted in a Robot Chicken sketch.   He then pulls out a revolver and shoots him five times.
- In an episode of Kung Fu Panda: Legends of Awesomeness, Tigress makes a joke like this...and tries to explain the meaning of the joke.
Tigress: My friends are the twins, Discipline and Sacrifice.Po: Heh...I don't think they'll like me.Tigress: *dryly* That's okay. You'll never meet them.Po: OH-HOH! You made a funny!Tigress: *proud* That was funny, wasn't it?
- In the Squidbillies episode "Limbitless" Early slices off one of his tentacles breaking into a vending machine. When Granny says "Landed on a little sick, are we?"  Smacky was my bitch-whuppin' arm!"
- King Julien on The Penguins of Madagascar once referred to his fists as "Righty" and "The Other Righty" (Julien's kind of a moron).
- In Wander over Yonder Sylvia refers to her fists as "Lady Haymaker and the Duchess of Whaling" in "The Fancy Party" and "My Fair Hatey".
- Batman: The Brave and the Bold has it as one of (if not his only) Batman's quirks: a strange obsession with calling his fists "the hammers of justice".
- In The Fairly OddParents, when Crocker becomes a giant cheese man, he refers to his fists as Colby and Jack, then explains that they're cheese puns.
- In The Adventures of Puss in Boots, when Dulcinea gets Super Strength, she calls her biceps "my new best friends, Lupe and Mariana".
- Rick and Morty: When Morty's arm becomes sentient with "muscle memory", he calls it 'Armothy'.


Twiglet Edit Mode is where nodes defined in the Twiglet’s model are added to the canvas or removed. This is where nodes are named and linked together to show relationships.
Model Edit Mode allows ability to change, add, and delete entity types and their attributes.


- Install the plugin from Marketplace
-
Open Git Machete tab:
- Navigate Git (tool window) -> Git Machete (tab)
- Or use key shortcut: Ctrl + Alt + Shift + M
Branch layout will be automatically discovered and a tree-shaped graph of branches will show up.
- From the left side plugin's toolbar select Open Machete File
- Edit the file (.git/machete) if needed to reflect the actual branch layout; the completion (Ctrl + Space) may be useful
-
Refresh the graph:
- Save file and click Refresh Status (Ctrl + F5, or Cmd + R on Mac OS) button from the left side plugin's toolbar
- Or Load Machete Changes (Ctrl + Shift + O)
-
Start to use it! :) Try Rebase Branch Onto Parent... and the other toolbar actions.
There is also a bunch of actions available from the context menu, once you right-click a branch from the graph.


plm
is a very versatile function which enable the estimation of a wide range of error component models. Those models can be written as follow :
\[ y_{nt}=\alpha + \beta^\top x_{nt} + \epsilon_{nt} = \alpha + \beta^\top x_{nt} + \eta_n + \mu_t + \nu_{nt} \]
where \(n\) and \(t\) are the individual and time indexes, \(y\) the response, \(x\) a vector of covariates, \(\alpha\) the overall intercept and \(\beta\) the vector of parameters of interest that we are willing to estimate. The error term is composed of three elements :
plm
The first two arguments of plm
are, like for most of the estimation functions of R
a formula
which describes the model to be estimated and a data.frame
. subset
, weights
and na.action
are also available and have the same behavior as in the lm
function. Three more main arguments can be set :
index
helps plm
to understand the structure of the data : if NULL
, the first two columns of the data are assumed to contain the individual or the time index. Otherwise, supply the column names of the individual and time index as a character, e.g., use something like c("firm", "year")
or just "firm"
if there is no explicit time index.effect
indicates the effects that should be taken into account ; this is one of "individual"
, "time"
and "twoways"
.model
indicates the model to be estimated : "pooling"
is just the OLS estimation (equivalent to a call to lm
), "between"
performs the estimation on the individual or time means, "within"
on the deviations from the individual or/and time mean, "fd"
on the first differences and "random"
perform a feasible generalized least squares estimation which takes into account the correlation induced by the presence of individual and/or time effects.The estimation of all but the last model is straightforward, as it requires only the estimation by OLS of obvious transformations of the data. The GLS model requires more explanation. In most of the cases, the estimation is obtained by quasi-differencing the data from the individual and/or the time means. The coefficients used to perform this quasi-difference depends on estimators of the variance of the components of the error, namely \(\sigma^2_\nu\), \(\sigma^2_\eta\) in case of individual effects and \(\sigma^2_\mu\) in case of time effects.
The most common technique used to estimate these variance is to use the following result :
\[ \frac{\mbox{E}(\epsilon^\top W \epsilon)}{N(T-1)} = \sigma_\nu^2 \]
and
\[ \frac{\mbox{E}(\epsilon^\top B \epsilon)}{N} = T \sigma_\eta^2 + \sigma_\nu^2 \]
where \(B\) and \(W\) are respectively the matrices that performs the individual (or time) means and the deviations from these means. Consistent estimators can be obtained by replacing the unknown errors by the residuals of a consistent preliminary estimation and by dropping the expecting value operator. Some degree of freedom correction can also be introduced. plm
calls the general function ercomp
to estimate the variances. Important arguments to ercomp
are:
models
indicates which models are estimated in order to calculate the two quadratic forms ; for example c("within", "Between")
.dfcor
indicates what kind of degrees of freedom correction is used : if 0
, the quadratic forms are divided by the number of observations, respectively \(N\times T\) and \(N\) ; if 1
, the numerators of the previous expressions are used (\(N\times (T-1)\) and \(N\)) ; if 2
, the number of estimated parameters in the preliminary estimate \(K\) is deduced. Finally, if 3
, the unbiased version is computed, which is based on much more complex computations, which relies on the calculus of the trace of different cross-products which depends on the preliminary models used.method
is an alternative to the models
argument ; it is one of :
"walhus"
- which is equivalent to models = c("pooling")
, Wallace and Hussain (1969),"swar"
- models = c("within", "Between")
, Swamy and Arora (1972),"amemiya"
- models = c("within")
, Amemiya (1971),"ht"
is an slightly modified version of amemiya
; when there are time-invariant covariates, the Amemiya (1971) estimator of the individual component of the variance is under-estimated as the time-invariant covariates disappear in the within regression. In this case Hausman and Taylor (1981) proposed to regress the estimation of the individual effects on the time-invariant covariates and use the residuals in order to estimate the components of the variance,"nerlove"
, which is a specific method which doesn’t fit to the methodology described above (Nerlove (1971)).Note that when only one model is provided in models
, this means that the same residuals are used to compute the two quadratic forms.
To illustrate the use of plm
, we use examples reproduced in Baltagi (2013). Table 2.1 on page 21 presents EViews’ results of the estimation on the Grunfeld
data set :
library("plm")
data("Grunfeld", package = "plm")
plm(inv ~ value + capital, Grunfeld, model = "pooling")
ols <- update(ols, model = "between")
between <- update(ols, model = "within")
within <- update(ols, model = "random", random.method = "walhus", random.dfcor = 3)
walhus <- update(walhus, random.method = "amemiya")
amemiya <- update(amemiya, random.method = "swar") swar <-
Note that the random.dfcor
argument is set to 3
, which means that the unbiased version of the estimation of the error components is used. We use the texreg
package to present the results :
library("texreg")
screenreg(list(ols = ols, between = between, within = within,
walhus = walhus, amemiya = amemiya, swar = swar),
digits = 5, omit.coef = "(Intercept)")
##
## =================================================================================================
## ols between within walhus amemiya swar
## -------------------------------------------------------------------------------------------------
## value 0.11556 *** 0.13465 ** 0.11012 *** 0.10979 *** 0.10978 *** 0.10978 ***
## (0.00584) (0.02875) (0.01186) (0.01052) (0.01048) (0.01049)
## capital 0.23068 *** 0.03203 0.31007 *** 0.30818 *** 0.30808 *** 0.30811 ***
## (0.02548) (0.19094) (0.01735) (0.01717) (0.01718) (0.01718)
## -------------------------------------------------------------------------------------------------
## R^2 0.81241 0.85777 0.76676 0.76941 0.76954 0.76950
## Adj. R^2 0.81050 0.81713 0.75311 0.76707 0.76720 0.76716
## Num. obs. 200 10 200 200 200 200
## s_idios 53.74518 52.76797 52.76797
## s_id 87.35803 83.52354 84.20095
## =================================================================================================
## *** p < 0.001; ** p < 0.01; * p < 0.05
The estimated variance can be extracted using the ercomp
function. For example, for the amemiya
model :
ercomp(amemiya)
## var std.dev share
## idiosyncratic 2784.46 52.77 0.285
## individual 6976.18 83.52 0.715
## theta: 0.8601
Baltagi (2013), p. 27, presents the Stata estimation of the Swamy-Arora estimator ; the Swamy-Arora estimator is the same if random.dfcor
is set to 3
or 2
(the quadratic forms are divided by \(\sum_n T_n - K - N\) and by \(N - K - 1\)), so I don’t know what is the behaviour of Stata for the other estimators for which the unbiased estimators differs from the simple one.
data("Produc", package = "plm")
plm(log(gsp) ~ log(pcap) + log(pc) + log(emp) + unemp, Produc,
PrSwar <-model = "random", random.method = "swar", random.dfcor = 3)
summary(PrSwar)
## Oneway (individual) effect Random Effect Model
## (Swamy-Arora's transformation)
##
## Call:
## plm(formula = log(gsp) ~ log(pcap) + log(pc) + log(emp) + unemp,
## data = Produc, model = "random", random.method = "swar",
## random.dfcor = 3)
##
## Balanced Panel: n = 48, T = 17, N = 816
##
## Effects:
## var std.dev share
## idiosyncratic 0.001454 0.038137 0.175
## individual 0.006838 0.082691 0.825
## theta: 0.8888
##
## Residuals:
## Min. 1st Qu. Median 3rd Qu. Max.
## -0.1067230 -0.0245520 -0.0023694 0.0217333 0.1996307
##
## Coefficients:
## Estimate Std. Error z-value Pr(>|z|)
## (Intercept) 2.13541100 0.13346149 16.0002 < 2.2e-16 ***
## log(pcap) 0.00443859 0.02341732 0.1895 0.8497
## log(pc) 0.31054843 0.01980475 15.6805 < 2.2e-16 ***
## log(emp) 0.72967053 0.02492022 29.2803 < 2.2e-16 ***
## unemp -0.00617247 0.00090728 -6.8033 1.023e-11 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Total Sum of Squares: 29.209
## Residual Sum of Squares: 1.1879
## R-Squared: 0.95933
## Adj. R-Squared: 0.95913
## Chisq: 19131.1 on 4 DF, p-value: < 2.22e-16
The two-ways effect model is obtained by setting the effect
argument to "twoways"
. Baltagi (2013) p. 44-46, presents EViews’ output for the Grunfeld data set.
plm(inv ~ value + capital, Grunfeld, model = "random", effect = "twoways",
Grw <-random.method = "walhus", random.dfcor = 3)
update(Grw, random.method = "swar")
Grs <- update(Grw, random.method = "amemiya")
Gra <-screenreg(list("Wallace-Hussain" = Grw, "Swamy-Arora" = Grs, "Amemiya" = Gra), digits = 5)
##
## ==========================================================
## Wallace-Hussain Swamy-Arora Amemiya
## ----------------------------------------------------------
## (Intercept) -57.81705 * -57.86538 * -63.89217 *
## (28.63258) (29.39336) (30.53284)
## value 0.10978 *** 0.10979 *** 0.11145 ***
## (0.01047) (0.01053) (0.01096)
## capital 0.30807 *** 0.30819 *** 0.32353 ***
## (0.01719) (0.01717) (0.01877)
## ----------------------------------------------------------
## s_idios 55.33298 51.72452 51.72452
## s_id 87.31428 84.23332 89.26257
## s_time 0.00000 0.00000 15.77783
## R^2 0.76956 0.76940 0.74898
## Adj. R^2 0.76722 0.76706 0.74643
## Num. obs. 200 200 200
## ==========================================================
## *** p < 0.001; ** p < 0.01; * p < 0.05
The estimated variance of the time component is negative for the Wallace-Hussain as well as the Swamy-Arora models and plm
sets it to 0.
Baltagi (2009) p. 60-62, presents EViews’ output for the Produc
data.
data("Produc", package = "plm")
plm(log(gsp) ~ log(pcap) + log(pc) + log(emp) + unemp, Produc,
Prw <-model = "random", random.method = "walhus",
effect = "twoways", random.dfcor = 3)
update(Prw, random.method = "swar")
Prs <- update(Prw, random.method = "amemiya")
Pra <-screenreg(list("Wallace-Hussain" = Prw, "Swamy-Arora" = Prs, "Amemiya" = Pra), digits = 5)
##
## ==========================================================
## Wallace-Hussain Swamy-Arora Amemiya
## ----------------------------------------------------------
## (Intercept) 2.39200 *** 2.36350 *** 2.85210 ***
## (0.13833) (0.13891) (0.18502)
## log(pcap) 0.02562 0.01785 0.00221
## (0.02336) (0.02332) (0.02469)
## log(pc) 0.25781 *** 0.26559 *** 0.21666 ***
## (0.02128) (0.02098) (0.02438)
## log(emp) 0.74180 *** 0.74490 *** 0.77005 ***
## (0.02371) (0.02411) (0.02584)
## unemp -0.00455 *** -0.00458 *** -0.00398 ***
## (0.00106) (0.00102) (0.00108)
## ----------------------------------------------------------
## s_idios 0.03571 0.03429 0.03429
## s_id 0.08244 0.08279 0.15390
## s_time 0.01595 0.00984 0.02608
## R^2 0.92915 0.93212 0.85826
## Adj. R^2 0.92880 0.93178 0.85756
## Num. obs. 816 816 816
## ==========================================================
## *** p < 0.001; ** p < 0.01; * p < 0.05
Two difficulties arise with unbalanced panels :
Baltagi (2013) and Baltagi (2009) present results of the estimation of the Swamy and Arora (1972) model with the Hedonic
data set. Baltagi (2013), p. 174, presents the Stata output and Baltagi (2009), p. 211 presents EViews’ output. EViews’ Wallace-Hussain estimator is reported in Baltagi (2009), p. 210.
data("Hedonic", package = "plm")
mv ~ crim + zn + indus + chas + nox + rm +
form <- age + dis + rad + tax + ptratio + blacks + lstat
plm(form, Hedonic, model = "random", index = "townid",
HedStata <-random.models = c("within", "between"))
plm(form, Hedonic, model = "random", index = "townid",
HedEviews <-random.models = c("within", "Between"))
update(HedEviews, random.models = "pooling")
HedEviewsWH <-screenreg(list(EViews = HedEviews, Stata = HedStata, "Wallace-Hussain" = HedEviewsWH),
digits = 5, single.row = TRUE)
##
## ======================================================================================
## EViews Stata Wallace-Hussain
## --------------------------------------------------------------------------------------
## (Intercept) 9.68587 (0.19751) *** 9.67780 (0.20714) *** 9.68443 (0.19922) ***
## crim -0.00741 (0.00105) *** -0.00723 (0.00103) *** -0.00738 (0.00105) ***
## zn 0.00008 (0.00065) 0.00004 (0.00069) 0.00007 (0.00066)
## indus 0.00156 (0.00403) 0.00208 (0.00434) 0.00165 (0.00409)
## chasyes -0.00442 (0.02921) -0.01059 (0.02896) -0.00565 (0.02916)
## nox -0.00584 (0.00125) *** -0.00586 (0.00125) *** -0.00585 (0.00125) ***
## rm 0.00906 (0.00119) *** 0.00918 (0.00118) *** 0.00908 (0.00119) ***
## age -0.00086 (0.00047) -0.00093 (0.00046) * -0.00087 (0.00047)
## dis -0.14442 (0.04409) ** -0.13288 (0.04568) ** -0.14236 (0.04439) **
## rad 0.09598 (0.02661) *** 0.09686 (0.02835) *** 0.09614 (0.02692) ***
## tax -0.00038 (0.00018) * -0.00037 (0.00019) * -0.00038 (0.00018) *
## ptratio -0.02948 (0.00907) ** -0.02972 (0.00975) ** -0.02951 (0.00919) **
## blacks 0.56278 (0.10197) *** 0.57506 (0.10103) *** 0.56520 (0.10179) ***
## lstat -0.29107 (0.02393) *** -0.28514 (0.02385) *** -0.28991 (0.02391) ***
## --------------------------------------------------------------------------------------
## s_idios 0.13025 0.13025 0.14050
## s_id 0.11505 0.12974 0.12698
## R^2 0.99091 0.99029 0.99081
## Adj. R^2 0.99067 0.99004 0.99057
## Num. obs. 506 506 506
## ======================================================================================
## *** p < 0.001; ** p < 0.01; * p < 0.05
The difference is due to the fact that Stata uses a between regression on \(N\) observations while EViews uses a between regression on \(\sum_n T_n\) observations, which are not the same on unbalanced panels. Note the use of between with or without the B capitalized in the random.models
argument. plm
’s default is to use the between regression with \(\sum_n T_n\) observations when setting model = "random", random.method = "swar"
. The default employed is what the original paper for the unbalanced one-way Swamy-Arora estimator defined (in Baltagi and Chang (1994), p. 73). A more detailed analysis of Stata’s Swamy-Arora estimation procedure is given by Cottrell (2017).
All of the models presented above may be estimated using instrumental variables (IV). The instruments are specified using two- or three-part formulas, each part being separated by a |
sign :
The instrumental variables estimator used is indicated with the inst.method
argument:
"bvk"
, from Balestra and Varadharajan–Krishnakumar (1987), the default value : in this case, all the instruments are introduced in quasi-differences, using the same transformation as for the response and the covariates,"baltagi"
, from Baltagi (1981), the instruments of the second part are introduced twice using the between and the within transformation as those of the third are only introduced with the within transformation,"am"
, from Amemiya and MaCurdy (1986), the within transformation of the variables of the second parts for each period are also included as instruments,"bms"
, from Breusch, Mizon, and Schmidt (1989), the within transformation of the variable of the second and of the third parts are included as instruments.The various possible values of the inst.method
argument are not relevant for fixed effect IV models as there is only one method for this type of IV models but many for random effect IV models.
The instrumental variable estimators are illustrated in the following example from Baltagi (2005), p. 120/ Baltagi (2013), p. 137.
data("Crime", package = "plm")
plm(lcrmrte ~ lprbarr + lpolpc + lprbconv + lprbpris + lavgsen +
crbalt <- ldensity + lwcon + lwtuc + lwtrd + lwfir + lwser + lwmfg + lwfed +
lwsta + lwloc + lpctymle + lpctmin + region + smsa + factor(year)
| . - lprbarr - lpolpc + ltaxpc + lmix,
data = Crime, model = "random", inst.method = "baltagi")
update(crbalt, inst.method = "bvk")
crbvk <- update(crbalt, model = "within")
crwth <-screenreg(list(FE2SLS = crwth, EC2SLS = crbalt, G2SLS = crbvk),
single.row = TRUE, digits = 5, omit.coef = "(region)|(year)",
reorder.coef = c(1:16, 19, 18, 17))
##
## ==================================================================================
## FE2SLS EC2SLS G2SLS
## ----------------------------------------------------------------------------------
## lprbarr -0.57551 (0.80218) -0.41293 (0.09740) *** -0.41414 (0.22105)
## lpolpc 0.65753 (0.84687) 0.43475 (0.08970) *** 0.50495 (0.22778) *
## lprbconv -0.42314 (0.50194) -0.32289 (0.05355) *** -0.34325 (0.13246) **
## lprbpris -0.25026 (0.27946) -0.18632 (0.04194) *** -0.19005 (0.07334) **
## lavgsen 0.00910 (0.04899) -0.01018 (0.02702) -0.00644 (0.02894)
## ldensity 0.13941 (1.02124) 0.42903 (0.05485) *** 0.43434 (0.07115) ***
## lwcon -0.02873 (0.05351) -0.00748 (0.03958) -0.00430 (0.04142)
## lwtuc 0.03913 (0.03086) 0.04545 (0.01979) * 0.04446 (0.02154) *
## lwtrd -0.01775 (0.04531) -0.00814 (0.04138) -0.00856 (0.04198)
## lwfir -0.00934 (0.03655) -0.00364 (0.02892) -0.00403 (0.02946)
## lwser 0.01859 (0.03882) 0.00561 (0.02013) 0.01056 (0.02158)
## lwmfg -0.24317 (0.41955) -0.20414 (0.08044) * -0.20180 (0.08394) *
## lwfed -0.45134 (0.52712) -0.16351 (0.15945) -0.21346 (0.21510)
## lwsta -0.01875 (0.28082) -0.05405 (0.10568) -0.06012 (0.12031)
## lwloc 0.26326 (0.31239) 0.16305 (0.11964) 0.18354 (0.13968)
## lpctymle 0.35112 (1.01103) -0.10811 (0.13969) -0.14587 (0.22681)
## smsayes -0.22515 (0.11563) -0.25955 (0.14997)
## lpctmin 0.18904 (0.04150) *** 0.19488 (0.04594) ***
## (Intercept) -0.95380 (1.28397) -0.45385 (1.70298)
## ----------------------------------------------------------------------------------
## R^2 0.44364 0.59847 0.59230
## Adj. R^2 0.32442 0.58115 0.57472
## Num. obs. 630 630 630
## s_idios 0.14924 0.14924
## s_id 0.21456 0.21456
## ==================================================================================
## *** p < 0.001; ** p < 0.01; * p < 0.05
The Hausman-Taylor model (Hausman and Taylor (1981)) may be estimated with the plm
function by setting argument random.method = "ht"
. The following example is from Baltagi (2005), p. 130 and Baltagi (2013), p. 146.
data("Wages", package = "plm")
plm(lwage ~ wks + south + smsa + married + exp + I(exp^2) +
ht <- bluecol + ind + union + sex + black + ed |
bluecol + south + smsa + ind + sex + black |
wks + married + exp + I(exp^2) + union,
data = Wages, index = 595,
inst.method = "baltagi", model = "random",
random.method = "ht")
update(ht, inst.method = "am")
am <-
screenreg(list("Hausman-Taylor" = ht, "Amemiya-MaCurdy" = am),
digits = 5, single.row = TRUE)
##
## ===============================================================
## Hausman-Taylor Amemiya-MaCurdy
## ---------------------------------------------------------------
## (Intercept) 2.91273 (0.28365) *** 2.92734 (0.27513) ***
## wks 0.00084 (0.00060) 0.00084 (0.00060)
## southyes 0.00744 (0.03196) 0.00728 (0.03194)
## smsayes -0.04183 (0.01896) * -0.04195 (0.01895) *
## marriedyes -0.02985 (0.01898) -0.03009 (0.01897)
## exp 0.11313 (0.00247) *** 0.11297 (0.00247) ***
## exp^2 -0.00042 (0.00005) *** -0.00042 (0.00005) ***
## bluecolyes -0.02070 (0.01378) -0.02085 (0.01377)
## ind 0.01360 (0.01524) 0.01363 (0.01523)
## unionyes 0.03277 (0.01491) * 0.03248 (0.01489) *
## sexfemale -0.13092 (0.12666) -0.13201 (0.12660)
## blackyes -0.28575 (0.15570) -0.28590 (0.15549)
## ed 0.13794 (0.02125) *** 0.13720 (0.02057) ***
## ---------------------------------------------------------------
## s_idios 0.15180 0.15180
## s_id 0.94180 0.94180
## R^2 0.60945 0.60948
## Adj. R^2 0.60833 0.60835
## Num. obs. 4165 4165
## ===============================================================
## *** p < 0.001; ** p < 0.01; * p < 0.05
This section shows how the nested error component model as per Baltagi, Song, and Jung (2001) can be estimated.
data("Produc", package = "plm")
plm(form <- log(gsp) ~ log(pc) + log(emp) + log(hwy) + log(water) + log(util) + unemp,
swar <-index = c("state", "year", "region"), effect = "nested", random.method = "swar")
Produc, update(swar, random.method = "walhus")
walhus <- update(swar, random.method = "amemiya")
amem <-screenreg(list("Swamy-Arora" = swar, "Wallace-Hussain" = walhus, "Amemiya" = amem), digits = 5)
##
## ==========================================================
## Swamy-Arora Wallace-Hussain Amemiya
## ----------------------------------------------------------
## (Intercept) 2.08921 *** 2.08165 *** 2.13133 ***
## (0.14570) (0.15035) (0.16014)
## log(pc) 0.27412 *** 0.27256 *** 0.26448 ***
## (0.02054) (0.02093) (0.02176)
## log(emp) 0.73984 *** 0.74164 *** 0.75811 ***
## (0.02575) (0.02607) (0.02661)
## log(hwy) 0.07274 *** 0.07493 *** 0.07211 **
## (0.02203) (0.02235) (0.02363)
## log(water) 0.07645 *** 0.07639 *** 0.07616 ***
## (0.01386) (0.01387) (0.01402)
## log(util) -0.09437 *** -0.09523 *** -0.10151 ***
## (0.01677) (0.01677) (0.01705)
## unemp -0.00616 *** -0.00615 *** -0.00584 ***
## (0.00090) (0.00091) (0.00091)
## ----------------------------------------------------------
## s_idios 0.03676 0.03762 0.03676
## s_id 0.06541 0.06713 0.08306
## s_gp 0.03815 0.05239 0.04659
## R^2 0.97387 0.97231 0.96799
## Adj. R^2 0.97368 0.97210 0.96776
## Num. obs. 816 816 816
## ==========================================================
## *** p < 0.001; ** p < 0.01; * p < 0.05
Amemiya, T. 1971. “The Estimation of the Variances in a Variance–Components Model.” International Economic Review 12: 1–13.
Amemiya, Takeshi, and Thomas E MaCurdy. 1986. “Instrumental-Variable Estimation of an Error-Components Model.” Econometrica 54 (4): 869–80.
Balestra, P., and J. Varadharajan–Krishnakumar. 1987. “Full Information Estimations of a System of Simultaneous Equations with Error Components.” Econometric Theory 3: 223–46.
Baltagi, B. H. 2009. A Companion to Econometric Analysis of Panel Data. John Wiley; Sons ltd.
———. 2013. Econometric Analysis of Panel Data. 5th ed. John Wiley; Sons ltd.
Baltagi, B. H. 1981. “Simultaneous Equations with Error Components.” Journal of Econometrics 17: 21–49.
———. 2005. Econometric Analysis of Panel Data. 3rd ed. John Wiley; Sons ltd.
Baltagi, B. H., and Y. J. Chang. 1994. “Incomplete Panels: A Comparative Study of Alternative Estimators for the Unbalanced One-Way Error Component Regression Model.” Journal of Econometrics 62: 67–89.
Baltagi, B. H., S. H. Song, and B. C. Jung. 2001. “The Unbalanced Nested Error Component Regression Model.” Journal of Econometrics 101: 357–81.
Breusch, Trevor S, Grayham E Mizon, and Peter Schmidt. 1989. “Efficient Estimation Using Panel Data.” Econometrica 57 (3): 695–700.
Cottrell, A. 2017. “Random Effects Estimators for Unbalanced Panel Data: A Monte Carlo Analysis.” Gretl Working Papers, no. 4. https://EconPapers.repec.org/RePEc:anc:wgretl:4.
Hausman, J. A., and W. E. Taylor. 1981. “Panel Data and Unobservable Individual Effects.” Econometrica 49: 1377–98.
Nerlove, M. 1971. “Further Evidence on the Estimation of Dynamic Economic Relations from a Time–Series of Cross–Sections.” Econometrica 39: 359–82.
Swamy, P. A. V. B., and S. S Arora. 1972. “The Exact Finite Sample Properties of the Estimators of Coefficients in the Error Components Regression Models.” Econometrica 40: 261–75.
Wallace, T. D., and A. Hussain. 1969. “The Use of Error Components Models in Combining Cross Section with Time Series Data.” Econometrica 37 (1): 55–72.


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import com.sleepycat.db.*;
The DbLockTab class is used in conjunction with the DbLock class to provide general-purpose locking. While designed to work with the other Db classes, these classes are also useful for more general locking purposes. Locks can be shared between processes. In most cases, when multiple threads or processes are using locking, the deadlock detector, db_deadlock should be run.


Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s.Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s.
view syllabusLorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s.Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s.
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Habitat
Most Charmanders live with trainers. Originally from the Kanto region. It is extremely rare in nature. Sometimes they can be found in hot places, for example, near volcanoes. They can also be found in the rocky mountains and in caves along the coast of the Sevii islands. Charmanders are single, but sometimes they gather in groups for hunting.


The Preference dialog is found in the menu at File→Preferences and contains all of the global options that can be configured.
The General tab contains a couple of useful settings.
Updates
Controls whether Rummage will check for new updates daily and allows controlling whether you want to be notified of prereleases as well. A button has also been provided to check for updates right away after configuring your update settings.
The check is only a check for new versions and doesn't perform an upgrade. Rummage must be upgraded via pip
from
command line.
Update Issues: Python 3.6+ on macOS
There is a small issue on macOS with Python 3.6+: Python 3.6 changed how it gets the default certificates required to properly check URLs. The details are actually documented here: https://bugs.python.org/issue28150#msg276516.
It is possible that a given installation method resolves this automatically, but if not, the following steps
should help. Assuming that Python 3.6+ was installed using the macOS installer from Python.org, you just need to
navigate to /Applications/Python 3.6/Install Certificates.command
and double click the command. The script
will use pip
to install certifi
and creates a symlink in the OpenSSL directory to certifi
's installed
bundle location. If you are using something like macports, then you'll probably have to research to find out how
to do the same thing.
International Time
Jul 01, 2018, 03:00:00 AM
, but you can enable this
option to display the times in international format: 2018-07-01 03:00:00
.The Regular Expression panel is where the desired regular expression engine that Rummage uses can be selected and configured. By default, Rummage will use Re, but if the Regex module is installed in your Python installation, it can be selected instead. There is also the option of using Re or Regex with Backrefs (a wrapper that adds a couple of special escapes and features).
If using Regex, you can set it to the version of your choice. V0
tries to be completely compatible with Re patterns
with non-breaking additional features, while V1
breaks compatibility with Re and adds even more useful features.
Please see Regex documentation to learn more.
Under File/Folder Matching are a number options for file and folder matching patterns. Follow the links to learn more about each feature:
-
which is the default.The Encoding panel is where you can tweak encoding detection. You can change the default encoding detection used (assuming you have both Chardet and cChardet installed). By default, Rummage will use the fastest (cChardet).
Special encoding file type considerations are also exposed here. File extensions assigned to either HTML, XML, or Python will use special logic to look for encoding declarations in the file's header, while file extensions assigned to binary will shortcut the encoding selection to binary. Just double click the file type whose extensions you would like to modify.
Remember that encoding detection is far from bulletproof and can pick an incorrect encoding. While during searches it might not be as big an issue, it is strongly suggested you use a forced encoding when performing replaces.
The Editor panel allows you to configure the editor that will be used to open files. To setup, simply enter the path to the editor and the options it should be called with. Once done, press the save button.
As noted in the image above, Rummage provides three special variables that can be used to insert the file name, line number, or column number.
| Argument Variables | Description |
|---|---|
{$file} |
Insert the file name. |
{$line} |
Insert the line number. |
{$col} |
Insert the column number. |
{$col0} |
Insert the line column offset by one so the first column is zero instead of one. |
New 4.7.0
Added {$col0}
for zero based column values.
The Notification panel controls configuration of notifications. You can enable/disable visual notifications and/or audible notification sounds (you must configure which sound to use).
On Linux, you can set your preferred player: paplay
, aplay
, and play
(sox
).
A test button is provided to test the configuration once set.
Supported Notification Sound Formats
| Windows | macOS | Linux |
|---|---|---|
wav |
wav , mp3 and .aiff |
wav and mp3 (if using paplay , ogg is also supported) |
Linux
Native: Notifications via notify-send
.
Other Distros
Though Rummage should run on any Linux distro, the native notification option was built around notify-send
and
only tested on Ubuntu. If other distros have a notify-send
it may also work.
macOS
Native: Notification Center via terminal-notifier. Path to terminal-notifier
must be
configured.
Configuring macOS Native
When selecting native
on macOS, an option to select the path to terminal notifier will be available since
native dialogs rely on terminal-notifier
to send notifications to the Notification Center. This must be
configured or native notifications will not work.
When selecting the terminal-notifier
path, you can select either the binary directly or the .<app
bundle
(depending on how you installed terminal-notifier
). When selecting the .app
bundle, Rummage will know how
to access the binary inside the bundle.
Windows
The History panel is where all text box, drop down history can be cleared.
The Backups panel allows you to configure where Rummage creates backups. You can control whether backups are all placed in the same folder as the original source, or if they are put into a subfolder. You can also configure the name of the subfolder used or the extension used when not writing to a subfolder.
If desired, Rummage's settings can be exported to a JSON file or imported from a JSON file. This can be particularly useful for importing regular expression patterns from one system into another system's existing regular expression list. This can also be useful if you have a lot of regular expression patterns you wish to create, and it would be too cumbersome to do it through the GUI. In the latter case, you could construct the pattern configurations in a JSON file and import all the patterns in one shot.
Import and export are broken up into three types of settings: general settings, chains, and searches. General settings are the basic feature configurations for Rummage. Chains contains all of your configured pattern chains. And searches is the actual configured search and replaces. When exporting, you will be presented with a dialog allowing you to select which categories of settings you wish to export.
When importing, you will be prompted to select the settings file to import. Then you will be asked to select one or more settings categories to import. Rummage will skip any malformed or invalid settings. If you are going to overwrite an existing chain or search, it will prompt you whether to proceed with the overwrite. Afterwards, it will output the import results in the text box.
The general settings are meant to be transferred between installations, not specifically configured by hand, so all the supported settings will not be covered here, but the chain and search format will be discussed in details.
The chain format for importing is shown below:
{
"chains": { // The key that denotes this setting is the "chains" setting.
"a-chain": [ // Unique chain ID. Must be composed of letters, numbers, underscores, and hyphens.
"example-1", // A list of references to specific unique search IDs.
"example-2"
],
"another-chain": [
"example-3",
"example-4"
]
}
}
The search/replace format for importing is show below:
{
"saved_searches": { // The key that denotes this setting is the "chains" setting.
"Copyright-update": { // Unique search ID. Must be composed of letters, numbers, underscores, and hyphens.
"flags": "is", // Search and replace flags (covered below).
"is_function": false, // Boolean stating whether the replace pattern is a function or not.
"is_regex": true, // Boolean stating whether the search pattern is a regular expression or literal string.
"name": "Copyright update", // A more user friendly name or description of the pattern.
"replace": "\\g<1>16", // The replace pattern, or in case `is_function` is `true`, the path to the Python replace plugin file.
"search": "(Copyright \\(c\\) \\d+ - 20)(\\d{2})" // The search pattern.
}
}
}
Below is a table containing valid flags for the flags
parameter. Literal searches only allow flags i
, u
, and f
.
Regular expression patterns can use i
, u
, f
, s
, b
, e
, w
, r
, p
, and F
(though flags are applicable
depending on whether you are using Re, Regex, or one of the two with Backrefs).
| Flags | Supported Libraries | Option |
|---|---|---|
i |
All | Search case-sensitive. |
u |
All | Use Unicode properties. |
s |
All | Dot matches newline. |
f |
Regex, Regex + Backrefs | Full case-folding. |
b |
Regex, Regex + Backrefs | Best fuzzy match. |
e |
Regex, Regex + Backrefs | Improve fuzzy fit. |
w |
Regex, Regex + Backrefs | Unicode word breaks. |
r |
Regex, Regex + Backrefs | Search backwards. |
p |
Regex, Regex + Backrefs | Use POSIX matching. |
F |
Regex, Regex + Backrefs, Re + Backrefs | Format style replacements. |


The ADD Convention Center
Located at Apalit, Pampanga, the Ang Dating Daan Convention Center is the Philippine headquarters of MCGI.
Home of major Church events like the quarterly International Thanksgiving (or the Pasalamat ng Katawan) where it accommodates tens of thousands of people. Regular Church services also take place here. Weekly, this is where believers get baptized and congregants give thanks to God.
The ADD Convention Center is also the venue where Bible Expositions and other international events like the bi-annual A Song of Praise (ASOP) Music Festival are held. Occasionally, it hosts benefit concerts, Church conventions, and Ang Dating Daan (The Old Path) anniversaries.
The Chapel
The Chapel at the ADD Compound in Pampanga is a multi-purpose venue for Church services - from the 24/7 praise-singing and community prayer to Mass Indoctrination sessions.
During International Thanksgivings, the Chapel also serves as an extension of the Convention in welcoming its countless attendees.
The Locale and Coordinating Center
The Locale in the communities outside of Apalit, Pampanga, is where brethren meet weekly to attend different Church services, as well as host Indoctrination sessions.
Though some also have satellite dishes, it is the Coordinating Centers that are equipped for receiving satellite and Internet feeds for Worldwide Bible Expositions and special religious gatherings. Coordinating Centers are also ready to receive inquiries about schedules of Church services and Mass Indoctrinations in their area.


Following on from looking at katacontainers and gVisor, I thought it might be interesting to look at the containerd project and the idea of using containerd and runc without docker to run containers. Looking round the documentation, I couldn’t find a good look at getting containerd and runc setup together without installing Docker, so lets do that.
Installation Notes
For this install we’re working from a default Ubuntu 18.04 server install.
Step one - Get Containerd
First step is to get the containerd binaries, they’re available on the release page of the containerd github site here
wget https://github.com/containerd/containerd/releases/download/v1.1.2/containerd-1.1.2.linux-amd64.tar.gz
tar -xzvf containerd-1.1.2.linux-amd64.tar.gz
sudo cp bin/* /usr/local/bin/
This should place the binaries in a location on the path. In addition to the daemon files there’s a copy of the ctr
binary which is used as a client.
Step two - Get runc
We can get the runc binary from their Github page here. We’ll get the AMD64 binary and put it in the same dir as the containerd files
wget https://github.com/opencontainers/runc/releases/download/v1.0.0-rc5/runc.amd64
sudo cp runc.amd64 /usr/local/bin/runc
sudo chmod +x /usr/local/bin/runc
Step three - Containerd configuration
Now we’ll need to provide containerd some configuration and setup the systemd entry so that we can start it automatically on boot. Containerd has a handy command for generating a default configuration , so we can use that.
containerd config default > config.toml
sudo mkdir /etc/containerd
sudo cp config.toml /etc/containerd/
Next up, setting up systemd. The containerd project provides a systemd unit file on their github repo. so we can get that and use it.
wget https://raw.githubusercontent.com/containerd/containerd/master/containerd.service
sudo cp containerd.service /etc/systemd/system
sudo systemctl daemon-reload
sudo systemctl start containerd
If you want containerd to start on boot you can also add
sudo systemctl enable containerd
Running containers with Containerd
If all has gone well we should now have a running containerd/runc setup, so next up is getting and running a container. This is a little more involved than the easy Docker process, and there’s a couple of different command to know, but nothing too heavy.
First up we can check that the client can connect to the daemon ok with sudo ctr version
. If this works, you should see something like
Client:
Version: v1.1.2
Revision: 468a545b9edcd5932818eb9de8e72413e616e86e
Server:
Version: v1.1.2
Revision: 468a545b9edcd5932818eb9de8e72413e616e86e
Pulling an image is done with ctr image pull
. An important note is that unlike Docker this doesn’t hard code a default registry, so you need to specify the Docker hub URL if you’re pulling from there. sudo ctr image pull registry.hub.docker.com/library/alpine:3.7
should download an Alpine 3.7 image.
Next up we need to create a container. This is done with ctr container create
and you just pass the image and a name so something like sudo ctr container create -t registry.hub.docker.com/library/alpine:3.7 myfirstcontainer
should work. One point to note is that we’re passing the -t
switch here to provide a TTY to the container
Now at this point you might be wondering “hey why am I not in my container?”. In containerd land you need to start the task after creating the container, so sudo ctr task start myfirstcontainer
should work and put you in your container.
Looking around you’ll notice that whilst most things are similar to where you were running with docker, there are some differences, notably that you’ve got no networking past the lo
interface. That’s provided by Docker. You can work round this using --net-host
on the container create statement to get access to the host’s network, but that’s a little hacky. Past that it should be possible to hook up other container networking solutions to this, but that’s a topic for another blog post!


While working on the RNeXML package, I have recently I have been puzzling over extending S3 objects to share some of the nice properties of S4 objects and methods while continuing to function with the potentially huge library of functions written to work with them. SO:
To illustrate this issue, consider the S3 class phylo
provided by the ape
package and used by most of the 30+ packages that reverse depend or reverse import ape
. Despite this popularity, the S3 class has quite a few shortcomings (including inconsistent definition in ordering of it’s components, see the phylobase paper). To address these concerns, a hackathon consisting of many of the leading developers in this field created the phylobase
package with S4
definitions of phylo
objects that extend the class to handle additional types of data and address various other concerns that have arisen. Unfortunately, as far as I can tell, adoption of the new format has been lacking. In my mind, the greatest limitation of the new format is the lack of compatibility with existing methods build on the S3 type.
I never understood why phylobase did not do this. To illustrate the problem, let us load an S3 phylo
object and then coerce it into the phylobase
S4 type:
library(phylobase)
library(ape)
data(bird.orders)
bird.orders4 <- as(bird.orders, "phylo4") # make ape::phylo tree into phylobase::phylo4 S4 class
The S4 class has explicitly defined it’s own plotting method, so:
plot(bird.orders4)
However, the original S3 plotting method fails:
plot.phylo(bird.orders4)
Error: $ operator not defined for this S4 class
More interesting functions, many of which may not have even existed when phylobase
was written, operate only on the S3 class:
S <- c(10, 47, 69, 214, 161, 17, 355, 51, 56, 10, 39, 152,
6, 143, 358, 103, 319, 23, 291, 313, 196, 1027, 5712)
bd.ext(bird.orders4, S) # Fails
Error: object "phy" is not of class "phylo"
While we can work around this with explicit coercion, this requirement is rather crude and breaks existing code users may already rely upon:
bd.ext(as(bird.orders4, "phylo"), S) # Works only after coercion
Extended Version of the Birth-Death Models to
Estimate Speciation and Extinction Rates
Data: phylogenetic: as(bird.orders4, "phylo")
taxonomic: S
Number of tips: 23
Deviance: 290.2
Log-likelihood: -145.1
Parameter estimates:
d / b = 2.315e-08 StdErr = 0.1542
b - d = 0.2765 StdErr = 0.009578
(b: speciation rate, d: extinction rate)
It appears this problem can be solved using setOldClass
. I’ve defined an the class phyloS4
which inherits all methods for the S3 phylo
class without having to explicitly declare those methods. In this way, we have the benefits of an S4 class while maintaining compatibility with all developers who only write functions based on the S3 class. (as long as functions don’t stupidly check the string identity class(obj) == "phylo"
, instead of using the proper class check is(obj, "phylo")
– looking at you ape::skyline
and friends….)
setClass("phyloS4",
representation(edge = "matrix",
Nnode = "integer",
tip.label = "character",
edge.length = "numeric"))
setOldClass("phylo", S4Class="phyloS4")
selectMethod("show", "phylo")
removeClass("phyloS4")
Now consider using our S4 version, rather than the phylobase S4 version:
a <- new("phylo", bird.orders)
is(a, "phylo")
[1] TRUE
bd.ext(a, S)
Extended Version of the Birth-Death Models to
Estimate Speciation and Extinction Rates
Data: phylogenetic: a
taxonomic: S
Number of tips: 23
Deviance: 290.2
Log-likelihood: -145.1
Parameter estimates:
d / b = 2.315e-08 StdErr = 0.1542
b - d = 0.2765 StdErr = 0.009578
(b: speciation rate, d: extinction rate)
Class, show
, and plot
, and additional (bd.ext
) methods from the S3 class just work. Now we want to extend the class to contain additional metadata (in my case, the nexml
information):
I can then build a new class, nexmlTree
by extending this class. Again my new class acts like an S3 phylo
in any such functions, but adds a representation containing all the nexml data. This approach doesn’t minimize memory footprint, but usually that is not a concern for R users (otherwise coercion is always an option).
library(RNeXML)
setClass("nexmlTree", representation(nexml = "nexml"), contains="phylo")
setMethod("show", "nexmlTree", function(object) print.phylo(object))
[1] "show"
Again, we check a few methods:
b <- new("nexmlTree", bird.orders, nexml = as(bird.orders, "nexml"))
is(b, "phylo")
[1] TRUE
bd.ext(b, S)
Extended Version of the Birth-Death Models to
Estimate Speciation and Extinction Rates
Data: phylogenetic: b
taxonomic: S
Number of tips: 23
Deviance: 290.2
Log-likelihood: -145.1
Parameter estimates:
d / b = 2.315e-08 StdErr = 0.1542
b - d = 0.2765 StdErr = 0.009578
(b: speciation rate, d: extinction rate)
This provides the additional metadata while leaving us with an object that works with all existing functions.
I’m not quite sure why this required the
show
method to be defined such that we wouldn’t get the S4 show method instead. As a default show method seems to be the only method automatically defined for the new class, I gather it is the only one we have to overwrite in preference for theprint.phylo()
method.↩


LCD Market
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Balance:
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Sair
My balance
Transfer tokens
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Watching "My Friend Totoro" with the kids and thinking about my friend @1337807.
1/18/2016, 6:54:30 PM
Favs: 9
Retweets: 0
link--- layout: tweet ---
Watching "My Friend Totoro" with the kids and thinking about my friend @1337807.
1/18/2016, 6:54:30 PM
Favs: 9
Retweets: 0
link


Double Take Script Loader Example
Waiting to load jQuery...
Waiting to load Underscore...
For more information about this page, see the
project on GitHub
.


The requester must first sign up for a Healthmap account and provide you with their email address they used to sign up with.
Please enter the email address from the requester's Healthmap account.
{{message}}
These are the requesters that have access to the Epicore system.


U.S. Trailer for ‘Beanpole’ Previews Kantemir Balagov’s Cannes Winner and Russia’s Oscar Entry
by Margaret RasberryRussia’s official selection for the 92nd Academy Awards, Beanpole is the achingly beautiful sophomore feature by the burgeoning auteur Kantemir Balagov. An official selection at Cannes, TIFF, and NYFF, Kino Lorber has now unveiled the U.S. trailer for the film that contributor Zhuo-Ning Su in our review praised as “blisteringly insightful.”
Winner of the prestigious Un Certain Regard for Best Director at Cannes, Beanpole follows the trajectory of two women, Iya and Masha (newcomers Viktoria Miroshnichenko and Vasilisa Perelygina), in post-World War II Russia as they readjust to the newly haunted landscape. They find common ground as former anti-aircraft gunners, and struggle to rebuild their lives as a shocking accident brings them closer together and seals their fate.
Kantemir Balagov recently sat down with us for an interview and shared his thought process in crafting a narrative that dealt with how women were affected by the war. “Tthe main focus was female loss—personal loss, but also feeling complete psychological loss once the war is over. The most important thing I wanted to highlight for my generational peers was the undervalued role that females played during the war, which has never really been highlighted or talked about in Russia.”
See the trailer and poster below.
Beanpole opens on January 29.


Like?
- Share this web-page in your preferred social network, use share buttons on the side of page.
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Subcsribe to all articles or specific tag/category, use your preferred RSS Reader. I use QuiteRSS for Windows.
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Problems?
- (PC only, not for mobile devices). If you find in this article typo or small error, please, report about it use typo-reporter. Select text with typo → press Ctrl+Enter (⌘Enter for Mac) → write comment → send typo report.
- If you find more serious errors in this article and/or site, create GitHub issue.
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I hate private communication, solely open support.
If you write in the style of new disgruntled Russian I reserve the right to dispose of my own discretion.
All rights reserved ©.


PROTOCOLS
Section: Linux Programmer's Manual (5)
Updated: 2012-08-05
Index
Return to Main Contents
NAME
protocols - protocols definition file
DESCRIPTION
This file is a plain ASCII file, describing the various DARPA internet
protocols that are available from the TCP/IP subsystem.
It should be
consulted instead of using the numbers in the ARPA include files, or,
even worse, just guessing them.
These numbers will occur in the
protocol field of any IP header.
Keep this file untouched since changes would result in incorrect IP
packages.
Protocol numbers and names are specified by the IANA
(Internet Assigned Numbers Authority).
Each line is of the following format:
-
protocol number aliases ...
where the fields are delimited by spaces or tabs.
Empty lines are ignored.
If a line contains a hash mark (#), the hash mark and the part
of the line following it are ignored.
The field descriptions are:
- protocol
-
the native name for the protocol.
For example
ip,
tcp,
or
udp.
- number
-
the official number for this protocol as it will appear within the IP
header.
- aliases
-
optional aliases for the protocol.
This file might be distributed over a network using a network-wide
naming service like Yellow Pages/NIS or BIND/Hesiod.
FILES
- /etc/protocols
-
The protocols definition file.
SEE ALSO
getprotoent(3)
Index
- NAME
-
- DESCRIPTION
-
- FILES
-
- SEE ALSO
-
This document was created by
man2html,
using the manual pages.
Time: 02:55:20 GMT, September 18, 2014


Users
Roles
Capabilities
Users Are
Unique Logins
Roles Are
Classifications
Capabilities Are
Privileges
Roles are Buckets of Capabilities
As Few Capabilities as Needed
Roles Aren't Hierarchical
current_user_can
Check Capabilities, not Roles
Create Roles That Fit your Org
Super Editor
Category Editor
Always Check Capabilities
unfiltered_html
Do I need my own roles?
Members Plugin
BuddyPress


|
|||||||||||||||||||||||||||||||
Team Foundation Server 2010 for Successful Project Management by Adam Cogan Visual Studio Ultimate (formerly Visual Studio Team System (VSTS)) and Team Foundation Server (TFS) are the cornerstones of development on the Microsoft .NET platform. These are the best tools for a project manager to have successful projects and for the developers to have a focused and smooth software development process. Come and see Adam Cogan, Microsoft Regional Director, VSTS Champ and Chief Architect from SSW show you:
Walk away knowing how to see the project health and progress. Visual Studio Ultimate is designed to help address many of these traditional problems faced by project managers. It does so by providing a set of integrated tools to help teams improve their software development activities and to help project managers better support the software development processes. During this session we will cover the lifecycle of creating work items and tracking of releases using Visual Studio Ultimate and Team Foundation Server. Visual Studio 2010 Team System - An OverviewMicrosoft Visual Studio 2010 Team System is an integrated software development platform to build the mission-critical applications that businesses depend on. It extends Visual Studio's integrated and productive experience from the developer to the entire development team by delivering powerful new role-based tools for software architects, developers, testers and project managers. In this session you will see an overview of these tools and how they can improve your software development cycle. Visual Studio 2010 Testing with Team Foundation Server (TFS) 2010 - the life of a bugVisual Studio 2010 makes up a large part of a .Net developers life. This session will delve into the 'life of a bug' by taking a walk in the shoes of an everyday bug from discovery to release (and the steps that make up the in between). Come along and check out the new features that will make you happier by making your code better, your job easier, and your team more productive by reducing the obstacles you face in your everyday coding life. Learn:
In this session Adam Cogan will provide information about what is new in SharePoint 2010 and his personal favorites. The SharePoint Team has invested in many including:
Let's see what's good and what's not. Something About Mary (SharePoint 2010 and Office 2010)Come see Adam Cogan explain what works well with SharePoint and Office for Mary and the other knowledge workers. First you will get an overview of what is great about having SharePoint in your business. Then see real world examples of:
This is a good chance for you to consider new ways of using Office in your company, along with pitfalls to avoid. Adam gets excited about this session because too often companies limit Office to just an email application, word processor and spreadsheet - completely missing the positive impact it can have on the entire business process.
|
SharePoint Saturday - Brisbane
Team Foundation Server 2010 (TFS) is the fully integrated solution to manage projects, giving developers, testers and management a single source of truth for all project needs. Using TFS to develop for SharePoint will make the development and maintenance process much more efficient and effective. During the session you will see how the 3 roles in a development team will benefit from using Team Foundation Server 2010. Project Managers and stakeholders will love:
Developers will love:
Testers will love:
Anyone interested in coming to this free event should register here: http://spsbne11.eventbrite.com/
|
Adam Cogan and CRM 2011
|
Advertise with SSWIf you would like to advertise your product or service with SSW or would like to find out more about various advertising opportunities, please email your enquiry to sophiebelle or call: +61 2 9953 3000. |
|
| Copyright � SSW 1990-2010. All Rights Reserved. | Proudly developed by SSW Sydney Web Design | |||||
|


Are you a internet junkie? Do you consider yourself to be keen-eyed?
The game play involves getting to the next level by whatever means necessary.
There are mainly 3 ways by which you can get across levels
Entering the answer in the text box
Changing the URL in the address bar
Clicking on various objects on the page
BE CAREFUL !!
Answers are not case sensitive.
In case the answer contains more than one word, do not forget to include spaces.
We try to cover most possible answers to a level,
but do try out different combinations of answers if we might have missed some out
(we're human after all). Answers with multiple words will contain a space between them,
so do take care of the same
DETECT THE CLUE
Most levels will require some amount of lateral thinking combined with some help from our good ol' friend Google :). Images can also be reverse-searched using Google/Tineye
Usually, the clues for each level can be found in:
Page Title
URL
Pictures on the level (and their names!)
Page source. (Right click and use View Page Source)
Some amount of binary (.doc, .jpg etc.) download/manipulation may be required to get the hint to next level
MIND WELL !
There may be answers which lead you down the wrong path so watch out!
Please note: Not every one of these might be a clue. We promise to make a conscious effort to mislead you
We have observed, based on experiences from the previous versions of Klueless, that in spite of getting the right answers, players refuse to enter them and try them out! We have no restrictions on the number of attempts, so do abuse this rule outrightly


In (ψ,𝜃,ζ) coordinates, a magnetic ﬁeld line is straight in (𝜃,ζ) plane with slope being q. Then the equation for a magnetic ﬁeld line is written as
|
| (291) |
where α is a constant in (𝜃,ζ) plane and can be used to label magnetic ﬁeld lines on a magnetic surface. This motivates us to use α, i.e.,
|
| (292) |
to replace ζ, then the magnetic ﬁeld in Eq. (261) is written
|
| (293) |
which is called the Clebsch form. The direction
|
| (294) |
is parallel (or anti-parallel) to the magnetic ﬁeld direction. Due to this fact, (ψ,𝜃,α) coordinates are usually called “ﬁeld-line-following coordinates” or “ﬁeld-aligned coordinates” [2, 6].
Equation (293) implies that
|
| (295) |
and
|
| (296) |
i.e., both α and ψ are constant along a magnetic ﬁeld line. Taking scalar product of Eq. (293) with ∇𝜃, we obtain
|
| (297) |
which is nonzero, i.e., only 𝜃 among (ψ,𝜃,α) is changing along a magnetic ﬁeld line. (Here 𝒥 = (∇ψ ×∇𝜃 ⋅∇α)−1 is the Jacobian of the coordinate system (ψ,𝜃,α), which happens to be equal to the Jacobian of (ψ,𝜃,ζ) coordinates.)
Using Eq. (293), the magnetic diﬀerential operator B ⋅∇ in the new coordinate system (ψ,𝜃,α) is written
|
| (298) |
which is just a partial derivative over 𝜃, as is expected, since only 𝜃 is changing along a magnetic ﬁeld line.
Using Eqs. (292) and (255), α can be written as
where = B⋅∇ϕ∕B⋅∇𝜃 is the local safety factor. For convenience, we choose 𝜃ref = 0. Then α = ϕ−δ, where δ = ∫ 0𝜃 d𝜃, which is called tor_shift in TEK code.It is widely believed (but can still be questioned because of lacking of conclusive experiments) that turbulence in tokamak plasmas usually has k∥≪ k⊥, where k∥ and k⊥ are the parallel and perpendicular wavenumbers, respectively. Due to this elongated structure along the parallel direction, less grids can be used in the parallel direction than that in the perpendicular direction in turbulence simulation. In this case, the ﬁeld-aligned coordinates (ψ,𝜃,α) provide suitable coordinates to be used, where less grids can be used for 𝜃 coordinate in simulations and even some ∂∕∂𝜃 derivatives can be neglected (high-n approximation), which simpliﬁes the equations that need to be solved. However, this is not the most important reason why almost all gyrokinetic codes use ﬁeld-aligned coordinates. The most important advantage of using ﬁeld-aligned coordinates is that the stability of numerical algorthims is improved when we use coarse grids in the parallel direction because the parallel Courant condition (for explicit schemes) Δt ≤ ΔL∥∕v∥ can be more easily satisﬁed (especially for the cases with kinetic electrons), where ΔL∥ is the parallel grid spacing, which is larger when coarse grids are used in the parallel direction. This is also mentioned in Ref. [21] and it seems to be right from my experiences of testing several algorithm but a strict test is needed to verify this. This can also be understood in the following way: the coarse parallel grid automatically ﬁlters out physically irrelevant but numerically problematic high-k∥ modes, permitting much longer time steps for explicit time stepping, in both particle and ﬂuid codes[12].


Bioinformatics and Integrative Genomics PhD Student
Harvard Medical School
Email<EMAIL_ADDRESS>GitHub: JakeConway
Assitiant Professor of Biomedical Informatics
Harvard Medical School>
Email<EMAIL_ADDRESS>Lab Website: GehlenborgLab
Twitter: @nils_gehlenborg


{% extends "tpl.layout.html" %} {% block content %}
Blow the man down nipper measured fer yer chains gibbet bounty avast warp quarter cable cog Admiral of the Black.  Flogging lugsail maroon long clothes knave Arr lee keel bilge rat come about capstan.
Hang the jib Sail ho lanyard Jolly Roger Jack Ketch Blimey Gold Road brigantine sheet strike colors cable. Landlubber or just lubber aft sheet gangplank belay carouser Blimey holystone swing the lead chantey hands. Brig killick clipper hempen halter quarter clap of thunder hardtack scuttle provost chase guns lad.


peptides tools OpenUrl HLA Class MHC stability SARS-CoV- CrossRef epitopes predicted prediction allotype available Binding Nielsen data vaccine Morten tested Figure assay Bjoern Buus Peptide Sette Table binding Alessandro class measured using Peters Søren allotype. performed training used Bioinformatics Epitope HLA-A*: PrdX Prediction Science Sidney Web allotypes assess correlation performance potential (AUC BMC Chen HLA-A*:, Immunology John Kasper Lamberth Predictions Spearman View WHO. high highest immune previously reference Affinity COVID- Michael Nature Novel Using Vaccine Zhang curves deposited development different diluted in-house number peptide stable tool values web (AUC) Abstract Cell Consensus Coronavirus Data Download Epitopes Harndahl Human II. Immune Justesen Lund Lundegaard Mikkel NeoScreen November): Ole Predicting SARS bind binders data, design epitope identified included measurements observed peptides. response sequence trained vitro


Vendor Name:
MUIRHEAD LISA
Reference Number:
4500274197
Contract Date:
2011-15-12
Description of Work:
Training consultants
Contract Period:
2011-15-12 to 2013-30-04
Delivery Date:
2013-30-04
Original Contract Value:
$0.00
Current Contract Value:
$12,928.75
Comments:
Competitively sourced


Build your own photoalbum today!
With our tools you can select what photos to include in your personalised and randomised slideshow.
Manage your photos
Manage what photos you want included by uploading or removing photos from your album
View your album
Take a look at your photos either as individual memories as a randomised group.


Class: JSUtils.Barrier
| Defined in: | async/Barrier.coffee |
| Inherits: | JSUtils.AsyncBase |
Overview
A class that starts executing functions - called "threads" - (pretty much) simultaneously and is done iff. all threads are done.
Each function can be both: synchronous or asynchronous.
Each asynchronous function MUST return an object that implements a done()
method in order to be waited on.
This is due to jQuery's done().
This done()
method takes one callback function as parameter (not like jQuery which can take multiple and arrays)!
If parameters are to be passed to the callback, take care of it yourself (closuring).
Examples:
barrier = new Barrier([
{
func: () ->
return true
scope: someObject
params: [1,2,3]
}
{
func: () ->
return new JSUtils.Sequence(...)
scope: someObject
[
() -> return true,
someObject,
[1,2,3]
]
])
Class Method Summary
- . (JSUtils.Barrier) forArray(array, callback, start = true) This method can be used to define multiple "threads" doing the same thing with different data (which is based on the array).
Instance Method Summary
-
#
(JSUtils.Barrier)
start(data)
This method starts the Barrier in case it has been created with
false
as constructor parameter. - # (JSUtils.Barrier) stop(execCallbacks = true) This method stops more "thread" from being started.
- # (?) progress() This method returns the progress (how many async function have already reached the Barrier) in [0,1].
- # (Array) result() Returns the result when this barrier (available only if done).
- # (JSUtils.Barrier) _invokeNextFunction(data, idx) Private This method invokes the next function in the list.
- # (void) _funcDone() Private This method is called when a sequence has completed (-> when a "thread" is done).
Inherited Method Summary
Methods inherited from
JSUtils.AsyncBase
#start #stop #interrupt #resume #result #progress #done #onStart #onEnd #onError #while #_setData #_execDoneCallbacks
Class Method Details
.
(JSUtils.Barrier)
forArray(array, callback, start = true)
This method can be used to define multiple "threads" doing the same thing with different data (which is based on the array).
That means the callback is called on every element of the given array.
Its result is accessible in the callback to done()
(see {JSUtils.Barrier#done}).
Examples:
urls = ["localhost/books.json", "localhost/authors/2"]
barrier = JSUtils.Barrier
.forArray urls, (url, index) ->
return $.get(url)
.done () ->
Constructor Details
#
(JSUtils.Barrier)
constructor(data, start = true)
Instance Method Details
#
(JSUtils.Barrier)
start(data)
This method starts the Barrier in case it has been created with false
as constructor parameter.
#
(JSUtils.Barrier)
stop(execCallbacks = true)
This method stops more "thread" from being started.
#
(?)
progress()
This method returns the progress (how many async function have already reached the Barrier) in [0,1].
#
(Array)
result()
Returns the result when this barrier (available only if done).
#
(JSUtils.Barrier)
_invokeNextFunction(data, idx)
Private
This method invokes the next function in the list.
#
(void)
_funcDone()
Private
This method is called when a sequence has completed (-> when a "thread" is done).


--- title: "I-SEARCH Project" externalLink: "/labs/isearch" caption: "/img/caption-isearch.png" date: 2011-08-30 ---
This is the European project I worked on during my internship at Google. It's an early prototype of an interface used for multi-modal search. The full repo is available on Github if you're curious.


GeneticAlgorithm provides an execution framework for Genetic Algorithms (GA). Populations, consisting of Chromosomes are evolved by the GeneticAlgorithm until a StoppingCondition is reached. Evolution is determined by SelectionPolicy, MutationPolicy and Fitness.
The GA itself is implemented by the evolve method of the GeneticAlgorithm class, which looks like this:
public Population evolve(Population initial, StoppingCondition condition) { Population current = initial; while (!condition.isSatisfied(current)) { current = nextGeneration(current); } return current; }
Here is an example GA execution:
// initialize a new genetic algorithm GeneticAlgorithm ga = new GeneticAlgorithm( new OnePointCrossover<Integer>(), 1, new RandomKeyMutation(), 0.10, new TournamentSelection(TOURNAMENT_ARITY) ); // initial population Population initial = getInitialPopulation(); // stopping condition StoppingCondition stopCond = new FixedGenerationCount(NUM_GENERATIONS); // run the algorithm Population finalPopulation = ga.evolve(initial, stopCond); // best chromosome from the final population Chromosome bestFinal = finalPopulation.getFittestChromosome();
| Parameter | value in example | meaning |
|---|---|---|
| crossoverPolicy | OnePointCrossover | A random crossover point is selected and the first part from each parent is copied to the corresponding child, and the second parts are copied crosswise. |
| crossoverRate | 1 | Always apply crossover |
| mutationPolicy | RandomKeyMutation | Changes a randomly chosen element of the array representation to a random value uniformly distributed in [0,1]. |
| mutationRate | .1 | Apply mutation with probability 0.1 - that is, 10% of the time. |
| selectionPolicy | TournamentSelection | Each of the two selected chromosomes is selected based on an n-ary tournament -- this is done by drawing n random chromosomes without replacement from the population, and then selecting the fittest chromosome among them. |