Back
Declaration
I confirm that:
- I have read, understood and accept the terms and conditions of the Register to Apply for US Global Entry service, including those about how personal information is used and stored
- The information I have supplied is complete and true to the best of my knowledge
- If I am registering for someone else I have their full consent, or have 'parental responsibility'Opens in new window for them if they are under 18
I understand that:
Regarding this service
- This is an initial registration required by the US authorities before I can apply for membership of the US Global Entry Program
- There is a £42 non refundable fee to register to apply for the US Global Entry Program
Regarding Global Entry
- My application to Global Entry will be through a separate application to the US authorities, with an additional fee of $100 USD
- To get Global Entry membership I must meet the US eligibility requirementsOpens in new window. My future entry to the US might be affected if the US authorities reject my application
- The US authorities can end your Global Entry membership if you break its terms and conditions
Confirm


|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object org.newdawn.slick.command.InputProvider
public class InputProvider
The central provider that maps real device input into abstract commands defined by the developer. Registering a control against an command with this class will cause the provider to produce an event for the command when the input is pressed and released.
| Constructor Summary | |
|---|---|
InputProvider(Input input)
Create a new input proider which will provide abstract input descriptions based on the input from the supplied context. |
| Method Summary | |
|---|---|
void |
addListener(InputProviderListener listener)
Add a listener to the provider. |
void |
bindCommand(Control control,
Command command)
Bind an command to a control. |
void |
clearCommand(Command command)
Clear all the controls that have been configured for a given command |
protected void |
firePressed(Command command)
Fire notification to any interested listeners that a control has been pressed indication an particular command |
protected void |
fireReleased(Command command)
Fire notification to any interested listeners that a control has been released indication an particular command should be stopped |
java.util.List |
getControlsFor(Command command)
Get a list of the registered controls (@see Control) that can cause a particular command to be invoked |
java.util.List |
getUniqueCommands()
Get the list of commands that have been registered with the provider, i.e. |
boolean |
isActive()
Check if this provider should be sending events |
boolean |
isCommandControlDown(Command command)
Check if the last control event we recieved related to the given command indicated that a control was down |
boolean |
isCommandControlPressed(Command command)
Check if one of the controls related to the command specified has been pressed since we last called this method |
void |
removeListener(InputProviderListener listener)
Remove a listener from this provider. |
void |
setActive(boolean active)
Indicate whether this provider should be sending events |
void |
unbindCommand(Control control)
Unbinds the command associated with this control |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public InputProvider(Input input)
input
- The input from which this provider will receive events| Method Detail |
|---|
public java.util.List getUniqueCommands()
public java.util.List getControlsFor(Command command)
command
- The command to be invoked
public void setActive(boolean active)
active
- True if this provider should be sending eventspublic boolean isActive()
public void addListener(InputProviderListener listener)
listener
- The listener to be addedpublic void removeListener(InputProviderListener listener)
listener
- The listener to be removedpublic void bindCommand(Control control, Command command)
command
- The command to bind tocontrol
- The control that is pressed/released to represent the commandpublic void clearCommand(Command command)
command
- The command whose controls should be unboundpublic void unbindCommand(Control control)
control
- The control to removepublic boolean isCommandControlDown(Command command)
command
- The command to check
public boolean isCommandControlPressed(Command command)
command
- The command to check
protected void firePressed(Command command)
command
- The command that has been pressedprotected void fireReleased(Command command)
command
- The command that has been pressed
|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


More than 55k third country nationals being hosted in temporary shelters managed by Greek armed forces
More 55,000 third country nationals - would-be asylum seekers and irregular migrants from dozens of countries - are now being hosted in shelters operated by Greece armed forces, according to an announcement on Friday by the general staff.
The figure is higher by nearly 3,000 people from last Thursday, with most of the shelters on a handful of eastern Aegean islands that have been the first destination of third country nationals smuggled onto or rescued in mid-sea after setting off from the opposite Turkish coast.


AAP's total funds rose to Rs 10.11 crore in 2018-19, donations doubled
The AAP's total funds rose from Rs 6.06 crore in 2017-18 to Rs 10.11 crore in 2018-19, the report said
by Press Trust of IndiaThe AAP's total funds rose from Rs 6.06 crore in 2017-18 to Rs 10.11 crore in 2018-19 with donations to the party nearly doubling in the same period, according to its annual audited accounts submitted to the Election Commission.
Under the 'donation and contribution' section, the report showed that the party's income went up from Rs 10.61 crore to Rs 19.31 crore.
The AAP's election expenditure also rose from Rs 33.21 lakh in 2017-18 to Rs 4.30 crore in 2018-19, the report said.
Under the 'cash and cash' equivalent that includes details of savings bank accounts, fixed deposit accounts, cash in hand and cheques in hand, the amount increased from Rs 3.85 crore to Rs 7.94 crore.
The AAP's total funds rose from Rs 6.06 crore in 2017-18 to Rs 10.11 crore in 2018-19, the report said.


Dallas Stars’ Mom Missed Her Son’s First Ever NHL Goal
by StrykerShe's never gonna live this one down.
Shout out to Dallas Stars forward Justin Dowling who has been playing hockey at different levels for several years, but finally made it to the NHL in 2018 with the Dallas Stars. At 29-years-old he scored his first ever NHL goal against the Calgary Flames. This is awesome for two different reasons.
The first one is obvious, first ever goal in the NHL is moment he will never forget. The second, Justin is from Calgary and had a lot of people in attendance just there for him. The Stars said about 70 of Justin's friends and family were there to cheer him on. One of them who was his mother, Sherry. Who unfortunately missed her son's first ever NHL goal. Wow, what happened?
Well, she says she was dealing with a drink. What does that mean? I have three guesses. 1. Someone spilled a drink on her.
2. She had too much to drink and had to use the bathroom.
3. She was in line getting a drink and missed the goal.
Whatever happened, it's gotta be a bad feeling to be in attendance and miss your kid's first ever NHL goal. Hopefully, Justin doesn't give her too hard of time about it.


Check Process Ownership
Make sure that you are the owner of the processes running db2syscs.exe and db2authDaemon.exe
Steps:
- Open a DB2 Command Window from the Start Programs menu, or open a command window and type db2cmd.
- If DB2 has not been started yet, do so with the command, db2start. Alternatively, you can also start DB2 from the control center.
- Check that the processes 'db2syscs' and 'db2authDaemon' are both running under your user name.


--- layout: default title: 404 Page not found permalink: 404.html ---
Sorry, we've misplaced that page or it's pointing to something that doesn't exist. Head back home to try finding it again.


GPS track Visualizer
by Jack Wu
Upload .CSV File
Demo
Chart
Info
Track
Config
Sel Point
Sample size
+
-
Enter
Map


15 General Estimating Equations, GEE
15.0.1 Fit the models and compare to the prior model
Use the gee()
function from the gee package for the results to be used in a texreg()
table.
btb_gee_in <- gee::gee(bdi ~ treatment + month,
data = btb_long,
id = id,
family = gaussian,
corstr = 'independence')
(Intercept) treatmentBtheB month
24.057331 -4.474597 -1.509032
btb_gee_ex <- gee::gee(bdi ~ treatment + month,
data = btb_long,
id = id,
family = gaussian,
corstr = 'exchangeable')
(Intercept) treatmentBtheB month
24.057331 -4.474597 -1.509032
# The AR-1 fails if any subjects have only 1 observation
# to use this one, we would need to remove participants with only 1 BDI
# btb_gee_ar <- gee(bdi ~ treatment + month,
# data = btb_long,
# id = id,
# family = gaussian,
# corstr = 'AR-M',
# Mv = 1)
btb_gee_un <- gee::gee(bdi ~ treatment + month,
data = btb_long,
id = id,
family = gaussian,
corstr = 'unstructured')
(Intercept) treatmentBtheB month
24.057331 -4.474597 -1.509032
15.0.2 Parameter Estimates
# Knit to Website: texreg::htmlreg()
# Knit to PDF: texreg::texreg()
# View on Screen: texreg::screenreg()
texreg::htmlreg(list(btb_lm,
btb_lmer_RI,
btb_gee_in,
btb_gee_ex,
btb_gee_un),
custom.model.names = c("OLS",
"MLM-RI",
"GEE-in",
"GEE-ex",
"GEE-un"))
| OLS | MLM-RI | GEE-in | GEE-ex | GEE-un | ||
|---|---|---|---|---|---|---|
| (Intercept) | 24.06*** | 23.67*** | 24.06*** | 23.68*** | 24.23*** | |
| (1.03) | (1.45) | (1.46) | (1.40) | (1.37) | ||
| treatmentBtheB | -4.47*** | -3.84* | -4.47* | -3.87* | -3.65* | |
| (1.10) | (1.95) | (1.89) | (1.92) | (1.85) | ||
| month | -1.51*** | -1.35*** | -1.51*** | -1.36*** | -1.46*** | |
| (0.20) | (0.13) | (0.18) | (0.14) | (0.16) | ||
| R2 | 0.16 | |||||
| Adj. R2 | 0.16 | |||||
| Num. obs. | 380 | 380 | 380 | 380 | 380 | |
| RMSE | 10.71 | |||||
| AIC | 2689.73 | |||||
| BIC | 2709.43 | |||||
| Log Likelihood | -1339.86 | |||||
| Num. groups: id | 100 | |||||
| Var: id (Intercept) | 82.43 | |||||
| Var: Residual | 39.14 | |||||
| Dispersion | 114.61 | 115.07 | 115.42 | |||
| p < 0.001, p < 0.01, p < 0.05 |
<IP_ADDRESS> Re-Fit Models
Use the geeglm()
function from the geepack package for the results to be used in a anova()
table.
btb_geeglm_in <- geeglm(bdi ~ treatment + month,
data = btb_long,
id = id,
wave = month,
family = gaussian,
corstr = 'independence')
btb_geeglm_ex <- geeglm(bdi ~ treatment + month,
data = btb_long,
id = id,
wave = month,
family = gaussian,
corstr = 'exchangeable')
btb_geeglm_ar <- geeglm(bdi ~ treatment + month,
data = btb_long,
id = id,
wave = month,
family = gaussian,
corstr = 'ar1')
btb_geeglm_un <- geeglm(bdi ~ treatment + month,
data = btb_long,
id = id,
wave = month,
family = gaussian,
corstr = 'unstructured')
15.0.3 Can’t Use the Likelihood Ratio Test
The anova()
function is used to compare nested models for parameters (fixed effects), not correlation structures.
anova(btb_geeglm_in, btb_geeglm_ex)
Models are identical
NULL
anova(btb_geeglm_in, btb_geeglm_ar)
Models are identical
NULL
anova(btb_geeglm_in, btb_geeglm_un)
Models are identical
NULL
15.0.4 Variaous QIC Measures of Fit
References:
Pan, W. 2001. Akaike’s information criterion in generalized estimating equations. Biometrics 57:120-125. https://onlinelibrary.wiley.com/doi/abs/10.1111/j.0006-341X.2001.00120.x
Burnham, K. P. and D. R. Anderson. 2002. Model selection and multimodel inference: a practical information-theoretic approach. Second edition. Springer Science and Business Media, Inc., New York. https://cds.cern.ch/record/1608735/files/9780387953649_TOC.pdf
The QIC()
is one way to try to measure model fit. You can enter more than one model into a single function call.
QIC(I) based on independence model <– suggested by Pan (Biometric, March 2001), asymptotically unbiased estimator (choose the correlation stucture that produces the smallest QIC(I), p122)
MuMIn::QIC(btb_geeglm_in,
btb_geeglm_ex,
btb_geeglm_ar,
btb_geeglm_un,
typeR = FALSE) # default
QIC
btb_geeglm_in 1812.345
btb_geeglm_ex 1812.243
btb_geeglm_ar 1811.327
btb_geeglm_un 1811.097
QIC(R) is based on quasi-likelihood of a working correlation R model, can NOT be used to select the working correlation matrix.
MuMIn::QIC(btb_geeglm_in,
btb_geeglm_ex,
btb_geeglm_ar,
btb_geeglm_un,
typeR = TRUE) # NOT the default
QIC
btb_geeglm_in 1812.345
btb_geeglm_ex 1813.763
btb_geeglm_ar 1816.482
btb_geeglm_un 1824.556
QIC_U(R) approximates QIC(R), and while both are useful for variable selection, they can NOT be applied to select the working correlation matrix.
MuMIn::QICu(btb_geeglm_in,
btb_geeglm_ex,
btb_geeglm_ar,
btb_geeglm_un)
QICu
btb_geeglm_in 2558.783
btb_geeglm_ex 2558.783
btb_geeglm_ar 2558.783
btb_geeglm_un 2558.783
MuMIn::model.sel(btb_geeglm_in,
btb_geeglm_ex,
btb_geeglm_ar,
btb_geeglm_un,
rank = "QIC") #sorts the best to the TOP, uses QIC(I)
Model selection table
(Intrc) month trtmn corstr qLik QIC delta weight
btb_geeglm_un 23.17 -1.074 + unstrc -22383.56 1811.1 0.00 0.334
btb_geeglm_ar 24.42 -1.503 + ar1 -21899.70 1811.3 0.23 0.298
btb_geeglm_ex 23.68 -1.357 + exchng -21691.28 1812.2 1.15 0.189
btb_geeglm_in 24.06 -1.509 + indpnd -21604.66 1812.3 1.25 0.179
Abbreviations:
corstr: exchng = 'exchangeable', indpnd = 'independence',
unstrc = 'unstructured'
Models ranked by QIC(x)
15.0.5 Plot the model predictions
Do not worry about confidence intervals.
expand.grid(treatment = levels(btb_long$treatment),
month = seq(from = 0, to = 8, by = 2)) %>%
mutate(fit_in = predict(btb_geeglm_in,
newdata = .,
type = "response")) %>%
mutate(fit_ex = predict(btb_geeglm_ex,
newdata = .,
type = "response")) %>%
mutate(fit_ar = predict(btb_geeglm_ar,
newdata = .,
type = "response")) %>%
mutate(fit_un = predict(btb_geeglm_un,
newdata = .,
type = "response")) %>%
gather(key = variable,
value = fit,
starts_with("fit")) %>%
separate(col = variable,
into = c("junk", "covR")) %>%
select(-junk) %>%
mutate(covR = factor(covR,
levels = c("un", "ar", "ex", "in"),
labels = c("Unstructured",
"Auto-Regressive",
"Compound Symetry",
"Independence"))) %>%
ggplot(aes(x = month,
y = fit,
linetype = treatment)) +
geom_line(alpha = 0.6) +
theme_bw() +
labs(title = "BtheB - Predictions from four GEE models (geeglm)",
linetype = "Treatment",
color = "Corelation\nStructure",
size = "Corelation\nStructure") +
scale_linetype_manual(values = c("solid", "longdash")) +
scale_size_manual(values = c(2, 1, 1, 1)) +
scale_color_manual(values = c("red",
"dodgerblue",
"blue",
"darkgreen")) +
theme(legend.key.width = unit(1, "cm")) +
facet_wrap(~ covR)


Forum: CLEANUPIssue: DYNAMIC-EXTENT-FUNCTION
References: Scope and Extent
Issue DYNAMIC-EXTENT
Category: ADDITION
Edit history: 04-Apr-89, Version 1 by Loosemore
11-Jun-89, Version 2 by Loosemore
Problem Description:
Proposal DYNAMIC-EXTENT:NEW-DECLARATION, passed at the March 89
meeting, provides a mechanism for declaring that the values of
variables have only dynamic (rather than indefinite) extent. It
would be useful to have similar functionality to indicate that
functional bindings may have only dynamic extent. (For example,
this would permit compilers to stack-allocate closures.)
Proposal (DYNAMIC-EXTENT-FUNCTION:EXTEND):
Extend the DYNAMIC-EXTENT declaration to accept arguments that are
lists of the form (FUNCTION <name>) where <name> is a function name,
as well as symbols.
A (FUNCTION <name>) list appearing in a DYNAMIC-EXTENT declaration is
used to declare that the lexically visible functional binding of <name>
has dynamic extent. Except for the interpretation of <name> as the
name of a function instead of the name of a variable, such a declaration
otherwise has semantics that are identical to those already described
in proposal DYNAMIC-EXTENT:NEW-DECLARATION.
Rationale:
This permits a programmer to offer advice to an implementation about
what functions may be stack-allocated for efficiency.
It may be difficult or impossible for a compiler to infer this
same information statically.
Current Practice:
JonL says that Lucid's compiler can stack-allocate closures, but they
have no mechanism for programmers to give the compiler permission to
do so.
HPCL-I has an UPWARD-CLOSURES declaration that pervasively affects
all closures created within the scope of the declaration.
The Symbolics Genera compiler can often infer when functions can be
implemented to have dynamic extent. Also, if a function has a
SYS:DOWNWARD-FUNCTION declaration in front of its body, then the
function is implemented with dynamic extent regardless of whether
the compiler thinks all uses are "downward". (This declaration is
rather peculiar because its scope is actually larger than the lambda
expression containing the declaration; implementationally, it's the
surrounding function definition.)
Cost to Implementors:
No cost is forced since implementations are permitted to simply
ignore the DYNAMIC-EXTENT declaration.
Cost to Users:
None. This change is upward compatible.
There may be some hidden costs to debugging using this declaration (or any
feature which permits the user to access dynamic extent objects without
the compiler proving that they are appropriate). If the user misdeclares
something and returns a pointer into the stack (or stores it in the heap),
an undefined situation may result and the integrity of the Lisp storage
mechanism may be compromised. Debugging these situations may be tricky,
but users who have asked for this feature have indicated a willingness
to deal with such costs. Nevertheless, the perils should be clearly
documented and casual users should not be encouraged to use this
declaration.
Cost of Non-Adoption:
Some portable code would be forced to run more slowly (due to
GC overhead), or to use non-portable language features.
Benefits:
The cost of non-adoption is avoided.
Aesthetics:
This declaration allows a fairly low level optimization to work
by asking the user to provide only very high level information.
The alternatives (sharpsign conditionals, some of which may
lead to more bit-picky abstractions) are far less aesthetic.
Discussion:
Loosemore supports DYNAMIC-EXTENT-FUNCTION:EXTEND.
This proposal does not attempt to address the issue of specifying
dynamic extent for anonymous closures (which is really a special case
of the more general problem of specifying dynamic extent for unnamed
objects of any type). It's possible, although often awkward, to
restructure the program to give the object a name and explicitly
identify its extent.
One possible solution to the problem of dynamic extent for anonymous
lambdas would be to clarify that a reference to a closed-over variable
or function appearing lexically within a FUNCTION form is enough to
cause its value to be "saved" when the FUNCTION form is executed,
regardless of whether or not that reference is actually executed when
the resulting function is called. Then, if all of the closed-over
functions and variables referenced within a closure are declared to
have dynamic extent, the closure could be assumed to have dynamic
extent as well. (More precisely, its maximum extent would be the
intersection of the extents of the closed-over functions and
variables.)
-------


I'm from Bay Area and I love where I'm from. There's nothing like it and i wouldn't want to be from anywhere else in this world.
I have a passion for combative sports, film making/directing, and traveling.
I also love to eat a lot and workout too. I enjoy watching anime and reading all kinds of books as well.


Tags:
I have been reading about music theory for a few weeks, it is still alien to me. I setup a Digital Audio Workstation, and searched for tutorials on how to use one. I stumbled upon this course on Coursera. It introduces the idea of a DAW in introduction, but the later content seems to be different than teaching how to use a DAW. It should teach me some music culture anyway so I will continue. It requires to setup a personal blog, which happens to be the thing I started doing yesterday.


templace
github
npm
unpkg
tests
if JavaScript is
enabled
then template content should appear below
if JavaScript is
disabled
then nothing should appear below
figure test
Be bold
bandcamp iframe test


| Animal Photo | Advert Title | Animal Name | Advert Creation Date | Advert Type | Advert Status | isActive | Operation |
|---|---|---|---|---|---|---|---|
| {{advert.advertisementTitle}} | {{advert.advertisementAnimal.genre}} | {{advert.date | date:'mediumDate'}} | Food Help Ownership Vaccination | Waiting Completing Needs More | Deactive Active |


| KEYWORD |
DESCRIPTION |
USAGE |
| INCLUDE | Include code from an external file. You can reference environment variables inside the include string with this syntax "${env_var}" | INCLUDE <STRING_LITERAL> |
| INCLUDE ONCE | Tells the compiler to only include the current file once. | INCLUDE ONCE |
| IF | ELSEIF | ELSE | END IF | Executes a block of code if an expression is true NOTE: ELSEIF can be substituted for ELSE IF |
IF <EXPRESSION> THEN ..... ELSEIF <EXPRESSION> THEN ..... ELSE ..... END IF |
| SELECT | CASE | DEFAULT | END SELECT |
Executes a block of code if a case is equal to the selection case | SELECT CASE <EXPRESSION> CASE <EXPRESSION> ..... DEFAULT ..... END SELECT |
| DO | LOOP | UNTIL | WHILE | Executes a block of code while a condition is true or until a condition is met | DO ..... LOOP {UNTIL | WHILE} <EXPRESSION> |
| WHILE | WEND | Executes a block of code while a condition is true | WHILE <EXPRESSION> ..... WEND |
| FOR | TO | STEP | NEXT | Sets a counter variable to an initial value and executes a block of code until the counter variable has reached a peak value | FOR <ID> = <EXPRESSION> TO <EXPRESSION>
{STEP} <EXPRESSION> ..... NEXT |
| EXIT | Exits a loop | EXIT { DO | FOR | WHILE } |
| CONTINUE | Jumps back to the start of a loop | CONTINUE |
| FUNCTION | RETURN | END FUNCTION |
Creates a function | FUNCTION <ID> ( {BYREF}<ID>, ...) ..... RETURN <EXPRESSION> END FUNCTION |
| SUB | RETURN | END SUB | Creates a Sub Routine | SUB <ID> ( {BYREF} <ID>, ...) ..... {RETURN} END SUB |
| Outputs Text to a console | PRINT <EXPRESSION> | |
| END | Ends a program. Add a number expression after END to set the exit code. | END END <EXPRESSION> |
| DIM | Creates a variable or array | DIM <ID> { [ } <EXPRESSION>{ ] } |
| REDIM | Resizes an array | REDIM <ID> { [ } <EXPRESSION>{ ] } |
| DELETE | Deletes an array | DELETE <ID> |
| TRUE | Constant that evaluates to NOT 0 | TRUE |
| FALSE | Constant that evaluates to 0 | FALSE |


List of variables that can be used with this class.
| Type |
Name |
Description |
Default |
Access |
| string |
version |
Get the current version of the chart |
n/a |
public |
| string |
table |
The name of the table which holds event data |
events |
public |
| string |
calenderid |
The id of the eventcalendar in the template |
calendar |
public |
| string |
datepickerid |
The id of the calendar in the template |
datepicker |
public |
| string |
eventid |
The id of the event form for entering data in the template |
event |
public |
| array |
available_users |
The available calendar for the particular user |
empty array |
public |
| string |
backend_type |
The default backend type. Can be database, demo, gcal, calDAV. Currently only database is available |
database |
public |
| string |
printformat |
The default printing format of the events when print button is clicked. Can be pdf or html |
pdf |
public |
| boolean |
multiple_cal |
If this option is set to true it is possible to view the data in multiple calendar users |
false |
public |
| boolean |
multiple_size |
This option have effect only if multiple_cal is true and determineds the number of visble users in the select (multiple option in the select) |
false |
public |


A natural waterfall with captivating surroundings is situated on the banks of the River Pamba. The fall is 60 to 100 ft deep which pours down on a rocky bed.
Gavi is situated some 14 km away from the famed Periyar Tiger Reserve and is heaven on Earth, quite literally
As the name suggests this place is famous for the meeting point of the three rivers. It serves as the halting point for those on their way to Sabarimala.
This place is considered to be the equivalent to an elephant's cage. The reason being is that the main attraction of the region is a massive wooden cage where elephant are trained..
Kaviyoor Rock Temple is the only cave temple left in the state which glorifies the culture of the area more that its spiritual aspecthis ancient cave temple established in Tamil Pallava style is devoted to Lord Hanuman, the Monkey God. .
Another significant Syrian Christian's pilgrim center, Manjinikkara Church is placed in Manjanikkara on the top of a hill about 6 km from Pathanamthitta.
Muloor Smarakam is a memorial dedicated to a poet and a pre-independence era social reformer Muloor S Padmanabha Panicker (1869-1931). Situated at a small distance of 12 km from Pathanamthitta town
Sabarimala houses Sastha Temple situated about 80 km from Pathanamthitta town. Dedicated to Lord Ayyappa, this temple is situated in the lap of nature amid the dangerous hills of Western Ghats.


Message Details
Property
Value
Sender
Recipients: To
Recipients: CC
Recipients: BCC
Message Subject
Message Id
Date Sent
Report Id


THE BROKEN HEARTS CLUB ----------------------
LAURA:
Writer/director Greg Berlanti brings his experience as a gay man living in West Hollywood to the screen in "The Broken Hearts Club." That club is where the ensemble cast gather to discuss their love lives or work as waiters for the owner, mother hen Jack (John Mahoney, TV's "Frasier").
 His roommate Cole (Dean Cain, TV's "Superman") is Dennis' opposite, a shallow pretty boy aspiring actor who flits from one man to the next carelessly breaking hearts. He swoops in on Kevin (Andrew Keegan, "10 Things I Hate About You"), a 'newbie' who's not yet out of the closet. This upsets Benji (Zach Braff, "Getting To Know You"), a spiky haired blond who works with Kevin and had had his eye on him.
Marshall (Justin Theroux) is getting tired of being taken for granted by Howie (Matt McGrath, "Boys Don't Cry"), who's too impressed with outward beauty ('I want to be Cole!' he proclaims). Taylor (Billy Porter), always bragging about his long term relationship, is quickly upended when he gets dumped long distance from Hawaii.  He's also got a sister (Mary McCormack, "The Big Tease") who wants his sperm to impregnant her hostile girlfriend Leslie (Nia Long, "Boiler Room").
When they're not kibbitzing about their love lives, they're scoping out potential partners, which they alert the others to check out using the code word 'meanwhile.' They all unsuccessfully avoid playing on Jack's Broken Hearts softball team, where they're so spectacularly bad they can barely tie a seniors group. The central conflict is that of Dennis in contrast to Cole. When Cole dumps Kevin, Dennis steps in to comfort him, denying his attraction to the younger man. Cole, meanwhile, gets a shot at a Hollywood film and its long-rumorred-to-be-gay-but-married star and a proverbial dose of his own medicine.
 Some of his writing is clever, such as having Cole use a breakup to practice an audition script he's written on his hand or when the group compare themselves to Somalian monkeys who wait until mating season, then attack each other.
Berlani also captures naturally enjoyable performances from his cast, particularly Olyphant, Keegan, Cain and Mahoney. Technically the film looks good, wisely keeping locations economical.
B
For more Reeling reviews visit www.reelingreviews.com
<EMAIL_ADDRESS><EMAIL_ADDRESS>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


Spiders¶
Spiders are classes which define how a certain site (or a group of sites) will be scraped, including how to perform the crawl (i.e. follow links) and how to extract structured data from their pages (i.e. scraping items). In other words, Spiders are the place where you define the custom behaviour for crawling and parsing pages for a particular site (or, in some cases, a group of sites).
For spiders, the scraping cycle goes through something like this:
You start by generating the initial Requests to crawl the first URLs, and specify a callback function to be called with the response downloaded from those requests.
The first requests to perform are obtained by calling the
start_requests()
method which (by default) generatesRequest
for the URLs specified in thestart_urls
and theparse
method as callback function for the Requests.In the callback function, you parse the response (web page) and return either dicts with extracted data,
Item
objects,Request
objects, or an iterable of these objects. Those Requests will also contain a callback (maybe the same) and will then be downloaded by Scrapy and then their response handled by the specified callback.In callback functions, you parse the page contents, typically using Selectors (but you can also use BeautifulSoup, lxml or whatever mechanism you prefer) and generate items with the parsed data.
Finally, the items returned from the spider will be typically persisted to a database (in some Item Pipeline) or written to a file using Feed exports.
Even though this cycle applies (more or less) to any kind of spider, there are different kinds of default spiders bundled into Scrapy for different purposes. We will talk about those types here.
scrapy.Spider¶
-
class
scrapy.spiders.
Spider
¶ This is the simplest spider, and the one from which every other spider must inherit (including spiders that come bundled with Scrapy, as well as spiders that you write yourself). It doesn’t provide any special functionality. It just provides a default
start_requests()
implementation which sends requests from thestart_urls
spider attribute and calls the spider’s methodparse
for each of the resulting responses.-
name
¶ A string which defines the name for this spider. The spider name is how the spider is located (and instantiated) by Scrapy, so it must be unique. However, nothing prevents you from instantiating more than one instance of the same spider. This is the most important spider attribute and it’s required.
If the spider scrapes a single domain, a common practice is to name the spider after the domain, with or without the TLD. So, for example, a spider that crawls
mywebsite.com
would often be calledmywebsite
.Note
In Python 2 this must be ASCII only.
-
allowed_domains
¶ An optional list of strings containing domains that this spider is allowed to crawl. Requests for URLs not belonging to the domain names specified in this list (or their subdomains) won’t be followed if
OffsiteMiddleware
is enabled.Let’s say your target url is
https://www.example.com/1.html
, then add'example.com'
to the list.
-
start_urls
¶ A list of URLs where the spider will begin to crawl from, when no particular URLs are specified. So, the first pages downloaded will be those listed here. The subsequent
Request
will be generated successively from data contained in the start URLs.
-
custom_settings
¶ A dictionary of settings that will be overridden from the project wide configuration when running this spider. It must be defined as a class attribute since the settings are updated before instantiation.
For a list of available built-in settings see: Built-in settings reference.
-
crawler
¶ This attribute is set by the
from_crawler()
class method after initializating the class, and links to theCrawler
object to which this spider instance is bound.Crawlers encapsulate a lot of components in the project for their single entry access (such as extensions, middlewares, signals managers, etc). See Crawler API to know more about them.
-
settings
¶ Configuration for running this spider. This is a
Settings
instance, see the Settings topic for a detailed introduction on this subject.
-
logger
¶ Python logger created with the Spider’s
name
. You can use it to send log messages through it as described on Logging from Spiders.
-
from_crawler
(crawler, *args, **kwargs)¶ This is the class method used by Scrapy to create your spiders.
You probably won’t need to override this directly because the default implementation acts as a proxy to the
__init__()
method, calling it with the given arguments args and named arguments kwargs.Nonetheless, this method sets the
crawler
andsettings
attributes in the new instance so they can be accessed later inside the spider’s code.Parameters: - crawler (
Crawler
instance) – crawler to which the spider will be bound - args (list) – arguments passed to the
__init__()
method - kwargs (dict) – keyword arguments passed to the
__init__()
method
- crawler (
-
start_requests
()¶ This method must return an iterable with the first Requests to crawl for this spider. It is called by Scrapy when the spider is opened for scraping. Scrapy calls it only once, so it is safe to implement
start_requests()
as a generator.The default implementation generates
Request(url, dont_filter=True)
for each url instart_urls
.If you want to change the Requests used to start scraping a domain, this is the method to override. For example, if you need to start by logging in using a POST request, you could do:
class MySpider(scrapy.Spider): name = 'myspider' def start_requests(self): return [scrapy.FormRequest("http://www.example.com/login", formdata={'user': 'john', 'pass': 'secret'}, callback=self.logged_in)] def logged_in(self, response): # here you would extract links to follow and return Requests for # each of them, with another callback pass
-
parse
(response)¶ This is the default callback used by Scrapy to process downloaded responses, when their requests don’t specify a callback.
The
parse
method is in charge of processing the response and returning scraped data and/or more URLs to follow. Other Requests callbacks have the same requirements as theSpider
class.This method, as well as any other Request callback, must return an iterable of
Request
and/or dicts orItem
objects.Parameters: response ( Response
) – the response to parse
-
log
(message[, level, component])¶ Wrapper that sends a log message through the Spider’s
logger
, kept for backwards compatibility. For more information see Logging from Spiders.
-
closed
(reason)¶ Called when the spider closes. This method provides a shortcut to signals.connect() for the
spider_closed
signal.
-
Let’s see an example:
import scrapy
class MySpider(scrapy.Spider):
name = 'example.com'
allowed_domains = ['example.com']
start_urls = [
'http://www.example.com/1.html',
'http://www.example.com/2.html',
'http://www.example.com/3.html',
]
def parse(self, response):
self.logger.info('A response from %s just arrived!', response.url)
Return multiple Requests and items from a single callback:
import scrapy
class MySpider(scrapy.Spider):
name = 'example.com'
allowed_domains = ['example.com']
start_urls = [
'http://www.example.com/1.html',
'http://www.example.com/2.html',
'http://www.example.com/3.html',
]
def parse(self, response):
for h3 in response.xpath('//h3').getall():
yield {"title": h3}
for href in response.xpath('//a/@href').getall():
yield scrapy.Request(response.urljoin(href), self.parse)
Instead of start_urls
you can use start_requests()
directly;
to give data more structure you can use Items:
import scrapy
from myproject.items import MyItem
class MySpider(scrapy.Spider):
name = 'example.com'
allowed_domains = ['example.com']
def start_requests(self):
yield scrapy.Request('http://www.example.com/1.html', self.parse)
yield scrapy.Request('http://www.example.com/2.html', self.parse)
yield scrapy.Request('http://www.example.com/3.html', self.parse)
def parse(self, response):
for h3 in response.xpath('//h3').getall():
yield MyItem(title=h3)
for href in response.xpath('//a/@href').getall():
yield scrapy.Request(response.urljoin(href), self.parse)
Spider arguments¶
Spiders can receive arguments that modify their behaviour. Some common uses for spider arguments are to define the start URLs or to restrict the crawl to certain sections of the site, but they can be used to configure any functionality of the spider.
Spider arguments are passed through the crawl
command using the
-a
option. For example:
scrapy crawl myspider -a category=electronics
Spiders can access arguments in their __init__ methods:
import scrapy
class MySpider(scrapy.Spider):
name = 'myspider'
def __init__(self, category=None, *args, **kwargs):
super(MySpider, self).__init__(*args, **kwargs)
self.start_urls = ['http://www.example.com/categories/%s' % category]
# ...
The default __init__ method will take any spider arguments and copy them to the spider as attributes. The above example can also be written as follows:
import scrapy
class MySpider(scrapy.Spider):
name = 'myspider'
def start_requests(self):
yield scrapy.Request('http://www.example.com/categories/%s' % self.category)
Keep in mind that spider arguments are only strings. The spider will not do any parsing on its own. If you were to set the start_urls attribute from the command line, you would have to parse it on your own into a list using something like ast.literal_eval or json.loads and then set it as an attribute. Otherwise, you would cause iteration over a start_urls string (a very common python pitfall) resulting in each character being seen as a separate url.
A valid use case is to set the http auth credentials
used by HttpAuthMiddleware
or the user agent
used by UserAgentMiddleware
:
scrapy crawl myspider -a http_user=myuser -a http_pass=mypassword -a user_agent=mybot
Spider arguments can also be passed through the Scrapyd schedule.json
API.
See Scrapyd documentation.
Generic Spiders¶
Scrapy comes with some useful generic spiders that you can use to subclass your spiders from. Their aim is to provide convenient functionality for a few common scraping cases, like following all links on a site based on certain rules, crawling from Sitemaps, or parsing an XML/CSV feed.
For the examples used in the following spiders, we’ll assume you have a project
with a TestItem
declared in a myproject.items
module:
import scrapy
class TestItem(scrapy.Item):
id = scrapy.Field()
name = scrapy.Field()
description = scrapy.Field()
CrawlSpider¶
-
class
scrapy.spiders.
CrawlSpider
¶ This is the most commonly used spider for crawling regular websites, as it provides a convenient mechanism for following links by defining a set of rules. It may not be the best suited for your particular web sites or project, but it’s generic enough for several cases, so you can start from it and override it as needed for more custom functionality, or just implement your own spider.
Apart from the attributes inherited from Spider (that you must specify), this class supports a new attribute:
-
rules
¶ Which is a list of one (or more)
Rule
objects. EachRule
defines a certain behaviour for crawling the site. Rules objects are described below. If multiple rules match the same link, the first one will be used, according to the order they’re defined in this attribute.
This spider also exposes an overrideable method:
-
Crawling rules¶
-
class
scrapy.spiders.
Rule
(link_extractor, callback=None, cb_kwargs=None, follow=None, process_links=None, process_request=None)¶ link_extractor
is a Link Extractor object which defines how links will be extracted from each crawled page.callback
is a callable or a string (in which case a method from the spider object with that name will be used) to be called for each link extracted with the specified link_extractor. This callback receives a response as its first argument and must return a list containingItem
and/orRequest
objects (or any subclass of them).Warning
When writing crawl spider rules, avoid using
parse
as callback, since theCrawlSpider
uses theparse
method itself to implement its logic. So if you override theparse
method, the crawl spider will no longer work.cb_kwargs
is a dict containing the keyword arguments to be passed to the callback function.follow
is a boolean which specifies if links should be followed from each response extracted with this rule. Ifcallback
is Nonefollow
defaults toTrue
, otherwise it defaults toFalse
.process_links
is a callable, or a string (in which case a method from the spider object with that name will be used) which will be called for each list of links extracted from each response using the specifiedlink_extractor
. This is mainly used for filtering purposes.process_request
is a callable, or a string (in which case a method from the spider object with that name will be used) which will be called with every request extracted by this rule, and must return a request or None (to filter out the request).
CrawlSpider example¶
Let’s now take a look at an example CrawlSpider with rules:
import scrapy
from scrapy.spiders import CrawlSpider, Rule
from scrapy.linkextractors import LinkExtractor
class MySpider(CrawlSpider):
name = 'example.com'
allowed_domains = ['example.com']
start_urls = ['http://www.example.com']
rules = (
# Extract links matching 'category.php' (but not matching 'subsection.php')
# and follow links from them (since no callback means follow=True by default).
Rule(LinkExtractor(allow=('category\.php', ), deny=('subsection\.php', ))),
# Extract links matching 'item.php' and parse them with the spider's method parse_item
Rule(LinkExtractor(allow=('item\.php', )), callback='parse_item'),
)
def parse_item(self, response):
self.logger.info('Hi, this is an item page! %s', response.url)
item = scrapy.Item()
item['id'] = response.xpath('//td[@id="item_id"]/text()').re(r'ID: (\d+)')
item['name'] = response.xpath('//td[@id="item_name"]/text()').get()
item['description'] = response.xpath('//td[@id="item_description"]/text()').get()
return item
This spider would start crawling example.com’s home page, collecting category
links, and item links, parsing the latter with the parse_item
method. For
each item response, some data will be extracted from the HTML using XPath, and
an Item
will be filled with it.
XMLFeedSpider¶
-
class
scrapy.spiders.
XMLFeedSpider
¶ XMLFeedSpider is designed for parsing XML feeds by iterating through them by a certain node name. The iterator can be chosen from:
iternodes
,xml
, andhtml
. It’s recommended to use theiternodes
iterator for performance reasons, since thexml
andhtml
iterators generate the whole DOM at once in order to parse it. However, usinghtml
as the iterator may be useful when parsing XML with bad markup.To set the iterator and the tag name, you must define the following class attributes:
-
iterator
¶ A string which defines the iterator to use. It can be either:
'iternodes'
- a fast iterator based on regular expressions'html'
- an iterator which usesSelector
. Keep in mind this uses DOM parsing and must load all DOM in memory which could be a problem for big feeds'xml'
- an iterator which usesSelector
. Keep in mind this uses DOM parsing and must load all DOM in memory which could be a problem for big feeds
It defaults to:
'iternodes'
.
-
itertag
¶ A string with the name of the node (or element) to iterate in. Example:
itertag = 'product'
-
namespaces
¶ A list of
(prefix, uri)
tuples which define the namespaces available in that document that will be processed with this spider. Theprefix
anduri
will be used to automatically register namespaces using theregister_namespace()
method.You can then specify nodes with namespaces in the
itertag
attribute.Example:
class YourSpider(XMLFeedSpider): namespaces = [('n', 'http://www.sitemaps.org/schemas/sitemap/0.9')] itertag = 'n:url' # ...
Apart from these new attributes, this spider has the following overrideable methods too:
-
adapt_response
(response)¶ A method that receives the response as soon as it arrives from the spider middleware, before the spider starts parsing it. It can be used to modify the response body before parsing it. This method receives a response and also returns a response (it could be the same or another one).
-
parse_node
(response, selector)¶ This method is called for the nodes matching the provided tag name (
itertag
). Receives the response and anSelector
for each node. Overriding this method is mandatory. Otherwise, you spider won’t work. This method must return either aItem
object, aRequest
object, or an iterable containing any of them.
-
process_results
(response, results)¶ This method is called for each result (item or request) returned by the spider, and it’s intended to perform any last time processing required before returning the results to the framework core, for example setting the item IDs. It receives a list of results and the response which originated those results. It must return a list of results (Items or Requests).
-
XMLFeedSpider example¶
These spiders are pretty easy to use, let’s have a look at one example:
from scrapy.spiders import XMLFeedSpider
from myproject.items import TestItem
class MySpider(XMLFeedSpider):
name = 'example.com'
allowed_domains = ['example.com']
start_urls = ['http://www.example.com/feed.xml']
iterator = 'iternodes' # This is actually unnecessary, since it's the default value
itertag = 'item'
def parse_node(self, response, node):
self.logger.info('Hi, this is a <%s> node!: %s', self.itertag, ''.join(node.getall()))
item = TestItem()
item['id'] = node.xpath('@id').get()
item['name'] = node.xpath('name').get()
item['description'] = node.xpath('description').get()
return item
Basically what we did up there was to create a spider that downloads a feed from
the given start_urls
, and then iterates through each of its item
tags,
prints them out, and stores some random data in an Item
.
CSVFeedSpider¶
-
class
scrapy.spiders.
CSVFeedSpider
¶ This spider is very similar to the XMLFeedSpider, except that it iterates over rows, instead of nodes. The method that gets called in each iteration is
parse_row()
.-
delimiter
¶ A string with the separator character for each field in the CSV file Defaults to
','
(comma).
-
quotechar
¶ A string with the enclosure character for each field in the CSV file Defaults to
'"'
(quotation mark).
-
headers
¶ A list of the column names in the CSV file.
-
parse_row
(response, row)¶ Receives a response and a dict (representing each row) with a key for each provided (or detected) header of the CSV file. This spider also gives the opportunity to override
adapt_response
andprocess_results
methods for pre- and post-processing purposes.
-
CSVFeedSpider example¶
Let’s see an example similar to the previous one, but using a
CSVFeedSpider
:
from scrapy.spiders import CSVFeedSpider
from myproject.items import TestItem
class MySpider(CSVFeedSpider):
name = 'example.com'
allowed_domains = ['example.com']
start_urls = ['http://www.example.com/feed.csv']
delimiter = ';'
quotechar = "'"
headers = ['id', 'name', 'description']
def parse_row(self, response, row):
self.logger.info('Hi, this is a row!: %r', row)
item = TestItem()
item['id'] = row['id']
item['name'] = row['name']
item['description'] = row['description']
return item
SitemapSpider¶
-
class
scrapy.spiders.
SitemapSpider
¶ SitemapSpider allows you to crawl a site by discovering the URLs using Sitemaps.
It supports nested sitemaps and discovering sitemap urls from robots.txt.
-
sitemap_urls
¶ A list of urls pointing to the sitemaps whose urls you want to crawl.
You can also point to a robots.txt and it will be parsed to extract sitemap urls from it.
-
sitemap_rules
¶ A list of tuples
(regex, callback)
where:regex
is a regular expression to match urls extracted from sitemaps.regex
can be either a str or a compiled regex object.- callback is the callback to use for processing the urls that match
the regular expression.
callback
can be a string (indicating the name of a spider method) or a callable.
For example:
sitemap_rules = [('/product/', 'parse_product')]
Rules are applied in order, and only the first one that matches will be used.
If you omit this attribute, all urls found in sitemaps will be processed with the
parse
callback.
-
sitemap_follow
¶ A list of regexes of sitemap that should be followed. This is is only for sites that use Sitemap index files that point to other sitemap files.
By default, all sitemaps are followed.
-
sitemap_alternate_links
¶ Specifies if alternate links for one
url
should be followed. These are links for the same website in another language passed within the sameurl
block.For example:
<url> <loc>http://example.com/</loc> <xhtml:link rel="alternate" hreflang="de" href="http://example.com/de"/> </url>
With
sitemap_alternate_links
set, this would retrieve both URLs. Withsitemap_alternate_links
disabled, onlyhttp://example.com/
would be retrieved.Default is
sitemap_alternate_links
disabled.
-
SitemapSpider examples¶
Simplest example: process all urls discovered through sitemaps using the
parse
callback:
from scrapy.spiders import SitemapSpider
class MySpider(SitemapSpider):
sitemap_urls = ['http://www.example.com/sitemap.xml']
def parse(self, response):
pass # ... scrape item here ...
Process some urls with certain callback and other urls with a different callback:
from scrapy.spiders import SitemapSpider
class MySpider(SitemapSpider):
sitemap_urls = ['http://www.example.com/sitemap.xml']
sitemap_rules = [
('/product/', 'parse_product'),
('/category/', 'parse_category'),
]
def parse_product(self, response):
pass # ... scrape product ...
def parse_category(self, response):
pass # ... scrape category ...
Follow sitemaps defined in the robots.txt file and only follow sitemaps
whose url contains /sitemap_shop
:
from scrapy.spiders import SitemapSpider
class MySpider(SitemapSpider):
sitemap_urls = ['http://www.example.com/robots.txt']
sitemap_rules = [
('/shop/', 'parse_shop'),
]
sitemap_follow = ['/sitemap_shops']
def parse_shop(self, response):
pass # ... scrape shop here ...
Combine SitemapSpider with other sources of urls:
from scrapy.spiders import SitemapSpider
class MySpider(SitemapSpider):
sitemap_urls = ['http://www.example.com/robots.txt']
sitemap_rules = [
('/shop/', 'parse_shop'),
]
other_urls = ['http://www.example.com/about']
def start_requests(self):
requests = list(super(MySpider, self).start_requests())
requests += [scrapy.Request(x, self.parse_other) for x in self.other_urls]
return requests
def parse_shop(self, response):
pass # ... scrape shop here ...
def parse_other(self, response):
pass # ... scrape other here ...


| CONTENTS | PREV | NEXT | Java Remote Method Invocation |
ServerRef
Interface
The interfaceServerRef
represents the server-side handle for a remote object implementation.
package java.rmi.server; public interface ServerRef extends RemoteRef { RemoteStub exportObject(java.rmi.Remote obj, Object data) throws java.rmi.RemoteException; String getClientHost() throws ServerNotActiveException; }
The methodexportObject
finds or creates a client stub object for the suppliedRemote
object implementation obj.The parameter data contains information necessary to export the object (such as port number).The method
getClientHost
returns the host name of the current client. When called from a thread actively handling a remote method invocation, the host name of the client invoking the call is returned. If a remote method call is not currently being service, thenServerNotActiveException
is called.


The Hypa Play14 comes in Minecraft green and includes a copy of Minecraft
The Hypa Play14 comes in Minecraft green and includes a pack of Minecraft stickers.
by Sean EndicottSource: Hypa Computers
What you need to know
- Microsoft and Hypa have partnered up to deliver the Minecraft-ready Hypa Play14.
- The Hypa Play14 comes in Minecraft Green, custom action keys, and includes Minecraft stickers.
- The Hypa Play14 is available exclusively through Argos in the UK for £250 and comes with Minecraft.
Microsoft and Hypa partnered up to create the Hypa Play 14, an affordable entry-level laptop for Minecraft players. The laptop comes in Minecraft green and includes a copy of Minecraft. It also has Minecraft stickers in the box. The Hypa Play14 is available exclusively through Argos in the UK for £250.
The Hypa Play14 is an entry-level Windows 10 S PC geared towards newcomers, kids, and budget-friendly consumers. It has a 14-inch 1366 x 768 screen, 4GB of RAM, 64GB of eMMC storage, and runs on an Intel N4200 Pentium 1.1GHz processor. Hypa states that the laptop will get six hours of battery life, lined with dual USB ports, Micro SD, HDMI, and a 3.5mm audio jack.
We tried out RTX tech in Minecraft and it got us hooked on ray tracing
Source: Hypa Computers
The specs might seem low if you usually look at flagship internals, but for an entry-level PC, the Hypa Play14 lines up well with the competition. It's an affordable device for parents who want to buy their kids a laptop that can play Minecraft or for anyone looking to grab a budget-friendly PC.
Hypa Play14
This charming PC comes in Minecraft green and includes a copy of Minecraft. It's an affordable entry-level PC with some personality.
We may earn a commission for purchases using our links. Learn more.


Project A
See the project in GitHubOpen issues
| # | Description | Milestone | Label | Priority | Time estimation | Time spent |
|---|---|---|---|---|---|---|
| 17 | Creating Front End Mockup (view on GitHub) (view details) |
20/12/2016 | FE | 3 | 22 | |
| 15 | Implementation of sign in/sign up flow through Github (view on GitHub) (view details) |
20/12/2016 | - | 1 | 15 | |
| 16 | Implementation of accessing to the Toggl projects (view on GitHub) (view details) |
20/12/2016 | - | 5 | - |


Class p.b.B.SoupStrainer:
Part of
pymine
.
beautifulsoup
.
BeautifulSoup
View In Hierarchy
Encapsulates a number of ways of matching a markup element (tag or text).
Method
__init__
Undocumented
Method
__str__
Undocumented
Method
searchTag
Undocumented
Method
search
Undocumented
Method
_matches
Undocumented
def __init__(self, name=None, attrs={}, text=None, **kwargs):
Undocumented
def __str__(self):
Undocumented
def searchTag(self, markupName=None, markupAttrs={}):
Undocumented
def search(self, markup):
Undocumented
def _matches(self, markup, matchAgainst):
Undocumented
API Documentation
for pymine, generated by
pydoctor
at 2010-04-07 23:15:24.


Login
I am over 21 years old
"With a few drinks, our smiles are not forced, our laughs are not faked, indeed, in vino caritas."


One way to classify the languages of the world is by looking at their morphological systems. One classification is based on the index of synthesis that reflects an average number of morphemes in a word. The values vary between 1 and 4 and there are 3 types of languages according to that system. Here are they:
Type — Index
Analytic — less than 2
Synthetic — from 2 to 3 (inclusively)
Polysynthetic — more than 3
Write a program that given the index of synthesis determines the type of the language.
The input format:
The value of the index of synthesis.
The output format:
The type of language.


{{ messages.events.count }} Total Events
{{ messages.venues.count }} Total Venues
{{ messages.players.count }} Total Registered Players
{{player.name}}, {{ messages.stats.length > 1 ? 'are' : 'is' }} currently leading! No games have been played this season.
We are Currently in Season {{messages.seasons.length}}


{% extends "base.html" %} {% load url from future %} {% load humanize %} {% load i18n %} {% block title %}{% trans "Suggested data sources"%} | LinDA{% endblock %} {% block bodyclass %}datasource-suggestions{% endblock %} {% block css %} {% endblock %} {% block content %}
The following datasources contain useful data gathered from different providers like Datahub and the Engage EU project.
You can immediately add them to your datasources, or download standalone files to review the data they contain.
You can also query remote endpoints before adding them to the workbench to make sure they contain data you need.
{% if suggested_datasources %}| # | Title | Description | Size (triples) | Format | Actions | Status |
|---|---|---|---|---|---|---|
| {{suggestion.pk}} | {{suggestion.title}} | {{suggestion.description}} | {% if suggestion.size %} {{suggestion.size|intcomma}} {% endif %} | {{suggestion.format}} | {% if suggestion.is_endpoint %} Explore {% else %} Download {% endif %} |
{% if suggestion.is_added %}
Added
{% else %}
Add
{% endif %}
|
No suggested datasources found
{% endif %} {% endblock %} {% block scripts %} {% endblock %}


There is a serious bug with the sphinx storage engine, introduced in 0.9.9-RC2 (and which has not been fixed in latest revisions, as yet - last checked with rev 2006).
I would usually just revert to an older version (0.9.9-RC1 does not contain this bug), but for the reason that RC2 introduces an important feature: the sphinx_snippets() function, which allows for creation of snippets from within MySQL, and which makes the sphinx integration with MySQL complete, as far as the application is concerned.
The bug
The bug is described here and here (and see further discussions). Though it's claimed to have been fixed, it's been re-reported, and I've tried quite a few revisions and verified it has not been fixed (tested on Debian/Ubuntu x64). Essentially, the bug does not allow you to set filters on a query issued from within the SphinxSE. For example, the following queries fail:
SELECT ... FROM ... WHERE query='python;mode=any;sort=relevance;limit=200;range=myUnixTimestamp,1249506000,1252184400;' SELECT ... FROM ... WHERE query='python;mode=any;sort=relevance;limit=200;filter=my_field,1;'
While the following query succeeds:
SELECT ... FROM ... WHERE query='python;mode=any;sort=relevance;limit=200;'
The error message is this:
ERROR 1430 (HY000): There was a problem processing the query on the foreign data source. Data source error: searchd error: invalid or truncated request
I see this as a serious bug in the SphinxSE: it renders it useless; searching without the ability to filter is not something I can live with.
The motivation
Sphinx does not store the actual text content. To get search results with snippets, you need to:
- Ask sphinx for the documents ids
- Get the content for those documents
- Ask sphinx for snippets based on the provided content and search phrase.
With the introduction of the sphinx_snippets() function, this can all be done with a single query, like this:
SELECT my_docs.my_docs_id, my_docs.publish_time, CONVERT(sphinx_snippets(my_docs.id.content, 'my_docs_index', 'python') USING utf8) AS snippet FROM tets.my_docs INNER JOIN test.my_docs_sphinx USING(my_docs_id) WHERE query='python;mode=any;sort=relevance;limit=200;range=publish_time_unix,1249506000,1252184400;';
This is really a life saver; without this function, you need to get the resutls back to your application, then send the data again to MySQL, in which case you might altogether discard the SphinxSE and talk to sphinx directly. But with a single query you get to ask the results just as if you were asking for any result set from your database (with extra syntax).
The workaround
My setup is Percona's mysql-5.1.34-xtradb5 source, on Ubuntu server 8.04 amd64. The trick is to first compile MySQL with sphinx 0.9.9-RC2, in order to produce the sphinx.so file (where the sphinx_snippets() function is found), backup the sphinx.so file, then recompile everything with sphinx 0.9.9-RC1. The steps being:
Compile MySQL with sphinx 0.9.9-Rc2 (I choose to install MySQL on /usr/local/mysql51):
tar xzfv mysql-5.1.34-xtradb5.tar.gz cd mysql-5.1.34-xtradb5 cp -R /tmp/resources/sphinx-0.9.9-rc2/mysqlse storage/sphinx sh BUILD/autorun.sh ./configure --with-plugins=innobase,sphinx --prefix=/usr/local/mysql51 make
This produces the sphinx.so, sphinx.so.0, sphinx.so.0.0.0 files. Back them up!
Next, recompile with sphinx 0.9.9-RC1. I've found that simple copying and recompiling doesn't work well. So just cleanup everything and start afresh:
cd .. rm -rf mysql-5.1.34-xtradb5 tar xzfv mysql-5.1.34-xtradb5.tar.gz cd mysql-5.1.34-xtradb5 cp -R /tmp/resources/sphinx-0.9.9-rc1/mysqlse storage/sphinx sh BUILD/autorun.sh ./configure --with-plugins=innobase,sphinx --prefix=/usr/local/mysql51 make sudo make install
Copy the sphinx.so files into the MySQL plugin directory (/usr/local/mysql51/lib/mysql/plugin in our case).
Then build sphinx (you must have MySQL includes for sphinx to compile, so this must be the second step):
cd /tmp/resources/sphinx-0.9.9-rc1/ ./configure --prefix=/usr/local/sphinx --with-mysql=/usr/local/mysql51 make sudo make install
Essentially, we're working now with 0.9.9-RC1, but the sphinx_snippets() function is from the 0.9.9-RC2 version, and happily no one bothers about this mix.
I hope this helps.
comments powered by Disqus


FAR AND AWAY A film review by Mark R. Leeper Copyright 1992 Mark R. Leeper
Capsule review: A really big film with impressive historical sweep. The sort of epic storytelling that films do so well and just have not done very often in recent years. Tom Cruise and Nicole Kidman star in a story of Irish immigrants coming to the Irish slums of Boston and then to the Oklahoma land rush just about one century ago. This is the most enjoyable film I have seen in 1992. Rating: +3 (-4 to +4).
(Spoiler warning: This film could not be adequately described without telling more of the plot than I usually like to tell. It is clear early on where this film is going. However, if you prefer not to read details of the plot, be warned.)
The summer is off to a roaring start with the return of a type of film we have not seen in a while, a big sprawling spectacular historical novel in cinematic form. This is a film in the grand tradition of epics like THE UNTAMED, which took Tyrone Power and Susan Howard from Ireland to a trek across South Africa with the Boers. It is rare enough these days to see an historical film set in another century. FAR AND AWAY sweeps the audience from the tenant unrest in Ireland in 1892 to the Irish slums of Boston to a brief sequence in the Ozarks and finally to the Oklahoma land rush. The land rush race of 1893 is eye-poppingly brought to the screen on a scale rarely seen on films any more. Along the way the viewer gets a pleasurable history lesson about conditions in Ireland, Boston, and Oklahoma of a century ago. FAR AND AWAY is *a lot* of film. It is 140 minutes of story.
The story opens in western Ireland.  Many of these landlords never even saw the properties that made them rich. Joseph Donelly (played surprisingly well by Tom Cruise) has dreams of escaping his poverty and owning his own lands. His dreams change when the rent collector indirectly kills Donelly's father and then intentionally burns Donelly's home. Donelly leaves home, intending to find and murder his landlord Daniel Christie (played by Robert Prosky). Christie turns out to be a likable fellow and Donelly a completely incompetent assassin. Soon Donelly is a patient being cared for by Christie's family in Christie's own house. Donelly particularly is interested in Shannon Christie (played by Nicole Kidman--Cruise's real-life wife). Shannon fancies herself a very modern woman and has dreams of running away to America, where they are giving away free land in Oklahoma and where she can be the equal of any man. It is no surprise to the audience that she is eventually off to America with part of the family treasure and with Donelly in tow as a sort of servant--at least that is what she thinks he is.
The longest chapter of the story is set in the Irish immigrant slums of Boston, where the couple go from riches to rags to riches and back to rags. The historical re-creation here is beautifully done. We see the immigrant population and the brothels. Donelly and Shannon are forced to pose as brother and sister and share a room in a brothel. Shannon plucks chickens and barely makes enough money to cover the rent, while Donelly is adopted by a local bully (played by Colm Meany of STAR TREK: THE NEXT GENERATION) and groomed as a bare-knuckle boxer. Donelly has a meteoric career as a boxer- -reminiscent of too many other of Cruise's films. Eventually the couple is dragged apart by poverty. Donelly tries a minor stint laying railroad track in the Ozarks before he decides to head west and find his land in Oklahoma. They once again meet up for the largest and most famous of the Oklahoma land rushes, the Cherokee Strip race. (Ever wonder what Cherokee Strip Day commemorated?) The Cherokee Strip was a six-million-acre strip of land between Kansas and Oklahoma bought from the Cherokee Nation for $8,500,000. It was partitioned into plots of land, and at noon on Saturday, September 16, 1893, the race for land began. The first person to get to one of the plots and replace the marker flag in it with his own flag owned it. One to a customer. This was the best known of the Oklahoma land rushes, attracting 100,000 settlers ("boomers"). A settler could be shot for being a "sooner," cheating and going to a plot of land sooner than noon. Sooners are, however, commemorated in the state nickname: The Sooner State. The Cherokee Strip land rush has been depicted in films several times before--most notably in the 1931 film CIMARRON, based on the novel by Edna Ferber and which won the Oscar for best picture. However, for once budget constraints seem to have been a small issue. Aerial shots of the rushing boomers indicate the land rush was recreated for FAR AND AWAY on a massive scale.
While the film has the feel of a novel, it was in fact based on an original screenplay. The screenplay was done by co-producer Bob Dolman. It was based on a story by Dolman and by director Ron Howard. This is purely a Hollywood product, story and screenplay, which makes it all the more surprising that the result is so pleasing. There are a few false moves, the worst coming in the final seconds of the film, but general the writing is quite good.
Tom Cruise does well with a script that involves many of his talents. Both his boxing and his horse-riding are surprisingly good and done in large part apparently without doubles. The Irish accent at first seems strange coming from Cruise, but only because his own inflection is familiar. Had I not seen him before, I would probably accept the Irish accent as his own. Kidman's talents also seem more than sufficient for her role. Robert Prosky never turns in a bad performance, of course.
Because there is so much to see in this film, it was shot on extra-wide 65mm film stock. That would not be uncommon for a special-effects-oriented film but is most unusual for a film with few or no visual effects. Just one more reason FAR AND AWAY is a good buy in a movie ticket.
Kudos to Ron Howard for the best and most entertaining film I have seen so far this year. I give it a +3 on the -4 to +4 scale. It's nice to be enthusiastic about a Hollywood studio film once in a while.
Mark R. Leeper att!mtgzy!leeper<EMAIL_ADDRESS>.
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


The last several chapters have explored how we can build our own data types. This ability is one of the foundations of object-oriented programming (OOP). This chapter will begin a look at the the other key components of OOP—inheritance and dynamic binding.
In Chapter 9, we described a small class intended to encapsulate the operations used to solve the grading problem from Chapter 4. This chapter will revisit that problem. This time, we'll assume that there's a change in specification: Students can take the course for undergraduate or graduate credit. Obtaining graduate credit requires that the students do some extra work. We'll assume that in addition to the homework and exams that all students must complete, graduate students also have to write a thesis. As we'll see, this change in problem specification lends itself to an object-oriented solution, which we'll use to explore the language features that C++ offers to support OOP.
Our objective is to write new classes that will mirror these new requirements. We'd also like our previous solution to the grading problem, from §9.6/166, to continue to work. That is, we'd like classes that allow us to generate the final grade report by reading a file of grade records and writing a formatted report using the original code.


CONTACT INFORMATION
NIRA (HEADQUARTERS)
National Independence Grounds, Kololo Airstrip
P.O.Box 26529, Kampala-Uganda
Tel(Reception): +256 312119600
For Inquiries on National Identification Registration
Call: +256 312119631 / +256 312119639
For Inquiries on Birth, Death and Adoption Order Registration
Call: +256 312119601
For Inquiries on Public Relations
Call: +256 312119605


{% extends 'base.html' %} {% block content %} {{block.super}}
{{user_posts|length}} posts
{{followers|length}} followers
{{following|length}} following
0 followers
0 following
{{user.email}}


APA-guidelines, don’t we all love them? As an example, take one simple black line used to separate words - the hyphen: not only do you have to check whether a term needs a hyphen or a blank space will suffice, you also have to think about the different types of hyphens (Em-dash, En-dash, minus, and hyphen).  And at JEPS we often get the question: why do we even have to adhere to those guidelines?
[caption id="attachment_3131" align="alignleft" width="344"] Common APA Errors; Infographic taken from the EndNote Blog http://bit.ly/1uWDqnO[/caption]
The answer is rather simple: The formatting constraints imposed by journals enable for the emphasis to be placed on the manuscript's content during the review process. The fact that all manuscripts submitted share the same format allows for the Reviewers to concentrate on the content without being distracted by unfamiliar and irregular formatting and reporting styles.
The Publication Manual counts an impressive 286 pages and causes quite some confusion. In JEPS, we have counted the most frequent mistakes in manuscripts submitted to us - data that the EndNote-blog has translated into this nice little graphic.
Here you can find some suggestions on how to avoid these mistakes in the first place.
References
American Psychological Association. (2009). Publication Manual of the American Psychological Association (6th ed.). Washington, DC: American Psychological Association.
Vainre, M. (2011). Common mistakes made in APA style. JEPS Bulletin, retrieved from http://blog.efpsa.org/2011/11/20/common-mistakes-made-in-apa-style/


Annotation Interface NullUnmarked
This annotation's purpose is to ease migration of a large existing codebase to null-marked status. It makes it possible to "flip the default" for new code added to a class or package even before that class or package has been fully migrated. Since new code is the most important code to analyze, this is strongly recommended as a temporary measure whenever necessary. However, once a codebase has been fully migrated it would be appropriate to ban use of this annotation.
For a comprehensive introduction to JSpecify, please see jspecify.org.
Warning: These annotations are under development, and any aspect of their naming, locations, or design is subject to change until the JSpecify 1.0 release. Moreover, supporting analysis tools will track with these changes on varying schedules. Releasing a library using these annotations in its API is strongly discouraged at this time.
Null-marked and null-unmarked code
NullMarked
and this annotation work as a pair to include and exclude sections of code
from null-marked status (respectively). Specifically, code is considered null-marked if the most
narrowly enclosing element annotated with either of these two annotations exists and is annotated
with @NullMarked
.
Otherwise it is considered null-unmarked. This can happen in two ways: either it is more
narrowly enclosed by a @NullUnmarked
-annotated element than by any
@NullMarked
-annotated element, or neither annotation is present on any enclosing element.
No distinction is made between these cases.
The effects of being null-marked are described in the Effects section of NullMarked
.
Unspecified nullness
Within null-unmarked code, a type usage with no nullness annotation has unspecified
nullness (Why?). This means that, while there is always
some correct way to annotate it for nullness, that information is missing: we do not
know whether it includes or excludes null
as a value. In such a case, tools can vary
widely in how strict or lenient their enforcement is, or might make it configurable.
For more, please see this more comprehensive discussion of unspecified nullness.
There is no way for an individual type usage within null-marked code to have unspecified nullness. (Why?)
Where it can be used
The information in the Where it can be used section of
NullMarked
applies as well to this annotation.


--- layout: post title: Costume design date: '2018-06-15T11:30:26+02:00' categories: - Costumes picture_url: https://film-Storyboards.tumblr.com/post/174917798678/costume-design ---


Run:
remotes::install_github("mlverse/torch")
At the first package load additional software will be installed.
Currently this package is only a proof of concept and you can only create a Torch Tensor from an R object. And then convert back from a torch Tensor to an R object.
library(torch) x <- array(runif(8), dim = c(2, 2, 2)) y <- torch_tensor(x, dtype = torch_float64()) y #> torch_tensor #> (1,.,.) = #> 0.8687 0.0157 #> 0.4237 0.8971 #> #> (2,.,.) = #> 0.4021 0.5509 #> 0.3374 0.9034 #> [ CPUDoubleType{2,2,2} ] identical(x, as_array(y)) #> [1] TRUE
In the following snippet we let torch, using the autograd feature, calculate the derivatives:
x <- torch_tensor(1, requires_grad = TRUE) w <- torch_tensor(2, requires_grad = TRUE) b <- torch_tensor(3, requires_grad = TRUE) y <- w * x + b y$backward() x$grad #> torch_tensor #> 2 #> [ CPUFloatType{1} ] w$grad #> torch_tensor #> 1 #> [ CPUFloatType{1} ] b$grad #> torch_tensor #> 1 #> [ CPUFloatType{1} ]
In the following example we are going to fit a linear regression from scratch using torch’s Autograd.
Note all methods that end with _
(eg. sub_
), will modify the tensors in place.
x <- torch_randn(100, 2) y <- 0.1 + 0.5*x[,1] - 0.7*x[,2] w <- torch_randn(2, 1, requires_grad = TRUE) b <- torch_zeros(1, requires_grad = TRUE) lr <- 0.5 for (i in 1:100) { y_hat <- torch_mm(x, w) + b loss <- torch_mean((y - y_hat$squeeze(1))^2) loss$backward() with_no_grad({ w$sub_(w$grad*lr) b$sub_(b$grad*lr) w$grad$zero_() b$grad$zero_() }) } print(w) #> torch_tensor #> 0.5000 #> -0.7000 #> [ CPUFloatType{2,1} ] print(b) #> torch_tensor #> 0.01 * #> 10.0000 #> [ CPUFloatType{1} ]


Frank Lampard outlines Chelsea transfer plans if FIFA ban is upheld
Chelsea have been banned from signing players for two windows but their appeal will he heard by CAS later this month
by Liam Prenderville, http://www.facebook.com/mirrorfootballFrank Lampard insists he will spend in January if Chelsea win their appeal against a FIFA transfer ban.
The Blues' appeal will be heard by Court of Arbitration for Sport on November 20, having already serving half of a two-window ban.
Lampard has enjoyed a fine start to life back at Stamford Bridge despite being unable to sign any new players, with a series of youngsters catching the eye.
But the Chelsea manager is ready to strengthen his squad, boasting a transfer kitty of around £150m.
"Chelsea will always look to improve in transfer windows if we can - and if the players we might look at are better or we feel are adding to the squad," Lampard said ahead of the Champions League clash with Ajax.
“I’m very interested in the appeal of course because it’s obviously going to affect potentially what we can do in January or not.
 I’m not going too far ahead with what happens.
“Of course some players have come in and shown with their opportunities they’ve been given that they can do roles and play well. We are getting results at the moment.
“But at the minute I’m very happy with what I’ve got so I suppose that’s why the fans are as well.”
Chelsea have been linked with a host of players in recent weeks, including Wilfried Zaha, Timo Werner and Moussa Dembele.
Leicester and England left-back Ben Chilwell is also believed to be on their radar.
Mason Mount is one of the players to capitalise on the transfer ban but he insists he is ready to fight for his place, if new faces arrive.
"We’ve had to deal with that during our whole time at Chelsea," he said.
“You come into a team, there’s players from different countries and you’ve got to work and show how good you are."


This week I have been learning how to style websites with Cascading Styling Sheets (CSS), and for once, I am having trouble trying to wrap my head around the topic. It’s still all good! It is, however, very new to me, and I’ve found myself at times simply doing trail and error to see how the CSS would affect the look of my website.
Even with positioning, I found myself working 3-4 hours trying to get an image of a cartoon octopus centered on the screen. It was very tedious, but from what I heard from my roommate, Adam Jenkins, CSS is not exactly a developer’s primary job description so much as it is coding and writing algorithms to make sure website works properly. That made me feel better, because while I do like design and the look of a website, I think my OCD part of my brain gets super frustrated when I can’t get the nav bar aligned at the top of the page or can’t get the perfect background to show on my webpage.
This week was also brought some sad and concerning news too about the program itself. If you didn’t hear, Dev Bootcamp is closing its doors in December after I graduate. I was shocked and scared, scared especially because I didn’t know how it would be perceived by potential employers when I have to find a job at the end of the program. However, the more I thought about it, the more thought about that old saying, “teachers open the door, you have to walk through it.” My success will really depend on how I approach the challenges and the program itself, and with their help, I cannot fail so long as I get the most of the program. Therefore, despite the sad news, I am still committed fully to the program and trying to get the most from learning at DBC.
No doubt the coming weeks will be even more challenging, but so far so good. Next week is Ruby and my first introduction to coding!


As an Island, Martha's Vineyard is well accustomed to visitors arriving by sea. Many towns offer mooring, marina, launch and fuel service and are situated close to shops, restaurants and other services. Several places have retained their victorian buildings.
The island lies just 5nm south of Cape Cod.
Position 41° 27'27" N, 70°35' 41"W (harbour entrance)
Vineyard Haven, on the north coast, and Edgartown, on the eastern side of the island, are the main ports. Oak Bluffs, just east of Vineyard Haven, provides both slips and swinging moorings.
Oak Bluffs is the largest marina in Martha's Vineyard and is owned by the town. It has both moorings and slips.
The harbour provides good shelter except in very strong NW winds.
Last updated March 2015.


Teton Welding & Machine
45369929
2016/03/09
1160 Ferrous metals
2016/03/09 to 2016/03/31
2016/03/31
$16,335.80
16-0576 Bear Traps Door Replacement
$13,390.00
$2,945.80
This Contract includes one or more amendments
This contract is a multi-year contract


Where did all my XULRunner tips go? 2007/10/20
Despite my blog being stale like the bread in my cabinet, I've still been elbow deep in XULRunner all day every day.  I still haven't found an elegant way to keep clicks on the scrollbar from firing my sequence of mousedown
, mousemove
and mouseup
events, but gimme a second chance.
As expected, I'm learning a lot about releasing software in the real world, where it has to stand up to real revisions, new features and public scrutiny. I like to think I've always built software that's up to the task but a UI worthy of the Flickr name is a lot of work. And.. Surprise! My engineer's touch is not good enough. Gino and George, with a healthy bit of Stewart, have made it look awesome. And my role in the design-y stuff? Implementing some of the ideas so we can play with them before springing them on unsuspecting users.
But stay tuned. It turns out that work not only fluctuates between C++ and JavaScript but between engineering (then) and design (now). After round one is out in the wild it will be time for more hacking in the great undocumented. Lather, rinse, repeat.
Comments (0)


“Grafana provides a powerful and elegant way to create, explore, and share dashboards and data with your team and the world.”
If you want to use Grafana to graph data from Prometheus, here are the steps to add Prometheus as a data source:
http://prometheus:9090
For more information, please see the official documentation
If you want to make changes to your Grafana configuration, simply update /usr/local/etc/grafana.ini
on your host server and restart your grafana container (docker restart grafana
)


This is an application that teaches Tigrigna language for kids between 4 - 5 years old. It covers the basic words that makes it a first step to be familiar with the language and have little conversation with their parents.
Have fun in learning the language and contact us through the below email for any feedback!!


Home
Books
Contact
Signin
About
Books
#
Book name
Arthur
Year Published
1
Steppenwolf
Herman Hesse
1927
2
Franz Kafka
The Metamorphosis
1915


Now that we understand interest rates, risk, and correlation, we can begin to really look at the problem of predatory lending. The Center for Responsible Lending (CRL) tracks payday lending across the country. Using a $300 loan, they calculated the annual percentage rate that you would pay in interest in each state of the United States. Note that some of the states have no rate listed - those states have passed laws which make predatory lending unprofitable.
in-context


You are not allowed to add more than one comment per product.
Seems like you are not logged in. Please log in and try again.


|
DreamFactory makes it easy to build and deploy applications by providing all the back-end
infrastructure. Use this tab to manage your apps. You may also download an SDK to get you started once
your app is created.
{{action}} applicationThis is your API KEY (X-DreamFactory-Application-Name)
Public name on LaunchPad Public description on LaunchPad Default Path
This is the default file to load when your app is loaded.
Your URL will be:
{{currentServer}}/{{storageContainers[app.storage_service_id].name}}/{{app.storage_container}}/{{app.api_name}}{{app.url}}
Run Full Screen without Toggle
Show Full Screen with Toggle
Assign this app to a role(s).
Each user who is assigned to one of the selected roles will have access to this app. Go
to the Roles tab to create and manage roles.
{{alert.message}}
|


click to filter out descendant
see ontology details for item
field requires a value
Discussion about a selected ontology term (the top-level one shown in the Form View) occurs here. One can select a term by browsing or searching, or from the shopping cart.
This prototype project enables data architects to view an ontology's datums and more complex data entities as HTML form elements, including term preferred name, definition, synonyms, database cross-references, categorical selection lists, and numeric data entry and validation fields. Specifications for these elements can be generated for reuse by software developers; logged-in users can save selected elements in packages that can be updated and downloaded later in JSON or Excel format; and finally, a form generator script is provided. Example forms:
See design details for an overview of how it could work with other OBI ontologies.


Hi! I'm Sophie. I'm 15 years old and from St. Louis.
I went to St. Joe Manchester from preschool to 8th grade
and now I go to St. Joseph's Academy.
I'm interested in coding, fashion, and writing
and I hope to use this website to combine
all these interests!! :)


Then you probably have 'Use simple file sharing' enabled.
Go to Tools > Folder Options > View, scroll to the bottom of the list and uncheck 'Use simple file sharing'
The security tab should now appear in the directory's properties dialog box.


Nowadays tourism is one of the most popular ways of learning, knowing about cultures, traditions and customs around the world. Travelling can teach you more than any university course. You must not care about money because there are different options for traveling free. You can learn a lot about yourself through travelling. You can observe how you feel being far from your country.
One of the benefits is that it teaches you about the world, another benefit is that it teaches you about your homeland. If you travel, you will not only learn about foreign cultures. When you return home, you will find out what makes your culture unique. Another benefit is that you can learn about yourself, you will be able to observe how you react in completely new situations, also you can test your language and definitely you will not the same person after returning home. Another benefit is that it makes you more tolerant because if you travel, you will meet new people that have different behavior and you have to accept these differences. One of the most important benefit is it makes you independent because you will realize that you can survive without all that help that is always available for you at home.
There are others benefits, for example many scientific studies have discovered that traveling or taking a regular holiday is good for your health, I will mention some benefits for improving your health . You can sleep better, lower blood pressure, lower stress hormones and increased life expectancy.
Traveling can improve your performance in your career for example open minded, communication, planning, adaptability and teamwork skills.
Nonetheless I am going to tell you some of the disadvantages, Non-travelers have no idea what you have experienced, so do not expect too much empathy when it comes to feeling wanderlust Building up a place in your head as being amazing, and then seeing it in real life can be really disappointing. Some people even develop anxiety and depression from that experience.
To sum up, my personal advice is you should travel a lot, you should learn, know and live new cultures, traditions, and customs around the world. Check out my infographic below for some of the most interesting statistics about the benefits of traveling.


This simple demo uses the following Contentful configuration:
Status: IdleBusy
Actions: Please select an action contentful.space() contentful.contentTypes() contentful.entry('6KntaYXaHSyIw8M6eo26OK') contentful.entries()
Please select an action from the dropdown above
{{response | json}}


Avians
Broad-tailed hummingbird
Known to build its nests at altitudes over 10,000 feet!
 Has a goose-like honk for a call.
Greater flamingo
Feeds by sucking up water through its bill and filtering out organisms.
- Scientific Name: Phoenicopterus roseus
- Average Length: 43-59"
- Average Lifespan: 60 years
- Habitat: Lagoons
A tall, pinkish-white bird, with males displaying a deep red throat and iridescent green back.


Wednesday's weather: Scattered thundershowers across SA
Thundershowers are expected across South Africa on Wednesday, with the SA Weather Service warning of severe storms over parts of the Eastern Cape and KwaZulu-Natal.
Warnings:
Extremely high fire danger conditions are expected over the northern parts of the Northern Cape, extreme western parts of the North West and extreme north-western parts of the Free State. Heavy rainfall leading to localised flooding is expected over the south coast and adjacent interior of the Western Cape, as well as the west coast of the western half of the Eastern Cape.
Watches:
Severe thunderstorms are expected in places over the western parts over the north-eastern parts of the Eastern Cape, and in places over the eastern parts of KwaZulu-Natal.
Snapshot of the weather in your region:
Gauteng will be partly cloudy and warm with scattered afternoon showers and thundershowers. The expected UVB sunburn index is low.
Mpumalanga will be cloudy with morning fog in the east, otherwise partly cloudy and warm but hot in places in the Lowveld, with scattered showers and thundershowers but widespread in the south.
Limpopo is expected to be cloudy with fog in the east, otherwise partly cloudy and warm but hot in the Lowveld and Limpopo Valley with isolated showers and thundershowers but scattered in the south-west.
The North West will be partly cloudy and warm, but hot in the extreme west. Scattered showers and thundershowers are expected in the east but isolated over the central parts, while the Free State is expected to be partly cloudy and warm, with isolated showers and thundershowers over the central parts but scattered in the east.
The Northern Cape can expect morning mist along the coast where it will be cool, otherwise fine and warm to hot but partly cloudy to cloudy and cool with afternoon showers over the southern high ground. The wind along the coast will be fresh to strong southerly to south-easterly but moderate in the morning.
The Western Cape will be fine and cool along the west coast and adjacent interior, otherwise partly cloudy and warm with isolated showers and thundershowers but scattered to widespread along the south coast and adjacent interior. The wind along the coast will be fresh to strong south-easterly to southerly but moderate north of Cape Columbine in the morning. The expected UVB sunburn index is high.
The western half of the Eastern Cape will be partly cloudy to cloudy and warm but cool along the coast with isolated showers and thundershowers but scattered to widespread in the south. The wind along the coast will be fresh to strong south-westerly. The eastern half of the province will be partly cloudy to cloudy and warm with isolated showers and thundershowers but scattered over the southern and eastern parts. The wind along the coast will be fresh to strong south-westerly.
KwaZulu-Natal will see morning fog over the interior, otherwise partly cloudy and warm to hot but cool in places in the south with widespread showers and thundershowers but scattered in the south-west. The wind along the coast will be fresh to strong north-easterly, becoming moderate southerly to south-westerly in the south by late morning and spreading to Mandeni by the evening. The expected UVB sunburn index is low.
Temperatures:
- Compiled by Yunus Kemp
Click here to see the specific forecast for your city over the next few days.


--- title: Exercise 5 layout: lesson nextex: benedictionex6 prevex: benedictionex4 course: benediction course-title: Benediction ---
Word list:
The word-for-word translation:
1. quae who pandis openest ostium the gate coeli of heaven. 2. da give robur strength. 3. fer bring auxilium help. 4. qui and may he donet give vitam life sine termino without end. 5. audi hear nos us, exaudi hear graciously nos us. 6. qui who tollis takest away peccata the sins mundi of the world. 7. veneremur let us venerate tantum Sacramentum so great a Sacrament. 8. fides let faith praestet offer supplementum a supply. 9. praestitisti thou gavest panem bread de coelo from heaven. 10. habentem having omne delectamentum every delight. 11. qui who reliquisti hast left memoriam a memorial. 12. tribue grant nos that we ita venerari may so venerate mysteria the mysteries. 13. ut that sentiamus we may experience fructum the fruit tuae redemptionis of thy redemption. 14. adoremus let us adore sanctissimum Sacramentum the most holy Sacrament. 15. laudate praise ye Dominum the Lord. 16. laudate praise ye eum him.
Here's the quizlet widget:


Computational Game Theory: 2016-2017
|
Lecturer |
|
|
Degrees |
Schedule C1 (CS&P) — Computer Science and Philosophy Schedule C1 — Computer Science Schedule C1 — Mathematics and Computer Science |
|
Term |
Michaelmas Term 2016 (20 lectures) |
Overview
Game theory is the mathematical theory of strategic interactions between self-interested agents. Game theory provides a range of models for representing strategic interactions, and associated with these, a family of solution concepts, which attempt to characterise the rational outcomes of games. Game theory is important to computer science for several reasons: First, interaction is a fundamental topic in computer science, and if it is assumed that system components are self-interested, then the models and solution concepts of game theory seems to provide an appropriate framework with which to model such systems. Second, the problem of computing with the solution concepts proposed by game theory raises important challenges for computer science, which test the boundaries of current algorithmic techniques. This course aims to introduce the key concepts of game theory for a computer science audience, emphasising both the applicability of game theoretic concepts in a computational setting, and the role of computation in game theoretic problems.The course assumes no prior knowledge of game theory.
The aims of the course are threefold: 1. to introduce the key models and solution concepts of non-cooperative and cooperative game theory; 2. to introduce the issues that arise when computing with game theoretic solution concepts, and the main approaches to overcoming these issues, and to illustrate the role that computation plays in game theory; 3. to introduce a research-level topic in computational game theory.
Learning outcomes
Upon completing this course, a student will: 1. understand the key concepts of preferences, utility, and decision-making under certainty and uncertainty, and the key computational issues in 1representing and manipulating representations of preferences and utility; 2. understand and be able to apply the key models and solution concepts of non-cooperative game theory, including both strategic form and extensive form games, and the key computational issues that arise when applying these models; 3. understand and be able to apply the key models and solution concepts of cooperative game theory, including TU and NTU games; 4. understand a contemporary research-level topic at the intersection between game theory and computer science.Syllabus
1. Preferences, Utility, and Goals:
• Preference relations and their interpretation; utility as a numeric model of preference.
•
Decision-making under uncertainty: preferences over lotteries; von Neumann and Morgenstern utility functions; expected utility
and expected utility maximisation.
• Paradoxes of expected utility maximisation; framing effects and prospect theory.
•
Compact representations for preference relations (e.g., CP-NETS).
• Dichotomous preferences and goals. Representations
for specifying goals (e.g., weighted formula representations for combinatorial domains); expressiveness and computational
issues.
2. Strategic Form Non-Cooperative Games:
• The basic model; solution concepts: pure strategy Nash equilibrium; dominant
strategies; notable games (e.g., Prisoner’s Dilemma; Game of Chicken; Stag Hunt); coordination games and focal points; complexity
of pure strategy Nash equilibrium.
• Measuring social welfare; utilitarian social welfare; egalitarian social welfare.
•
Mixed strategies; Nash’s theorem; -Nash equilibrium.
• Computing mixed strategy Nash equilibria: the Lemke-Howson algorithm.
•
Zero sum games; the Minimax Theorem.
• Compact representations for strategic form games; Boolean games; congestion games.
3. Iterated Games:
• Finitely repeated games and backward induction.
• Infinitely repeated games; measuing utility
over infinite plays; modelling strategies as finite state machines with output (Moore machines); the folk theorems; implications
of using bounded automata to model strategies.
• Iterated Boolean games.
• Axelrod’s tournament; the Hawk-Dove game;
evolutionary game theory; evolutionarily stable strategies.
4. Extensive Form Non-Cooperative Games:
• Extensive form games of perfect information; Zermelo’s algorithm and
backward induction; P-completeness of Zermelo’s algorithm; subgame perfect equilibrium.
• Win-lose games; Zermelo’s theorem.
•
Compact representations for extensive form games; the PEEK games and EXPTIME-completeness results; the Game Description Language
(GDL).
• Imperfect information games; information sets; solution concepts for imperfect information games.
• Compact
representations for imperfect information games; PEEK games with incomplete information; undecidability results.
5. Cooperative Games:
• Transferable utility (TU) characteristic function games; the basic model; stability & fairness
solution concepts: the core; the kernel; the Nucleolus; the cost of stability; the Shapley value; the Banzhaf index.
•
Compact representations for TU games; induced subgraph representation; marginal contribution nets.
• Simple TU games; swap
and trade robustness; weighted voting games; vector weighted voting games; network flow games.
• NTU games and representations
for them; hedonic games.
• Coalition structure formation; exact and approximation algorithms.
6. Social Choice:
• social choice and social welfare functions;
• Condorcet’s paradox;
• desirable properties
of social choice procedures (Pareto condition, independence of irrelevant alternatives);
• popular voting procedures (Borda,
etc);
• Arrow’s theorem;
• strategic manipulation of voting procedures and associated impossibility results (Gibbard-Satterthwaite
theorem);
• complexity of manipulation for voting protocols.
7. Research Topics:
In the final part of the course we will focus on a research topic from the contemporary literature;
possible examples include:
• algorithmic mechanism design & auctions;
• selfish routing, the price of anarchy;
•
security games.
Reading list
Recommended reading:
• Michael Maschler, Eilon Solan, Shmuel Zamir. Game Theory, Cambridge UP, 2013.
The best contemporary overview
of game theory.
• Martin J. Osborne and Ariel Rubinstein. A Course in Game Theory. MIT Press, 1994.
An excellent
introduction to game theory, freely available from: 4http://books.osborne.economics.utoronto.ca
• Y. Shoham and
K. Leyton-Brown. Multiagent Systems. Cambridge UP, 2009.
Freely available from: http://www.masfoundations.org/
•
G. Chalkiadakis, E. Elkind, and M. Wooldridge. Computational Aspects of Cooperative Game Theory. Morgan & Claypool, 2011.
The book for cooperative games.