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An introduction to
PIK6
HTML5 presentation framework
Press → or swipe to the left to learn more
Features
- 100% HTML5, CSS and JavaScript (MooTools)
- Multiple presentation views and presenter mode
- Programmable slides
- As fancy or a simple as you want it to be
Why use it?
- Presenter mode
- Hackable, scriptable presentations
- Easy embedding of web pages, media, youtube videos …
- Great performance in modern browsers even with hundreds of slides
Why not?
- Requires a modern web browser
- Requires a web server to run from
- Shares all drawbacks common to HTML slides (no GUI to create presentations, no PDF export*, images hard to use)
* PIK6 handles printing somewhat well, so PDF export using Chrome's "print to PDF" function is possible
Getting started
- Download Pik6 from Github or
git clone git://github.com/SirPepe/Pik6.git
- Place the files in a directory on your web server
- Open Pik6 in a browser, click the "Browse" link to navigate through the slide sets
Controls
- Use the left and right arrow keys to navigate through the slides
- On mobile devices you can swipe left and right to navigate
- Move your Mouse to the bottom of the presentation view to reveal the control panel
- The F5 and ESC keys hide the presentation
Presenter mode
- Open
presenter.html
in a new window (use the control panel) to use the presenter mode.
- The presenter mode offers more control elements, displays a timer and lets you see the
currently displayed slide and which slide comes next
- Requires a browser that supports Shared Workers (Chrome 8+ or Opera 11+)
Building presentations

First Slide

Second Slide

You can use presentations/Template/index.html
as a starting point.
Notes
- Notes can be added using an element with the class
pik-notes
for each slide
- Notes are invisible in the presentation, but are shown in the presenter view
- Look at this slide for an example
Use all the tags you like!
- No limitations! Use links, headlines and
everything else!
- Notes won't be printed
Styling presentations
- Styles (simple CSS files) reside in the
styles
folder
- Styles includes in PIK6:
- Default (used in this presentation)
- Lime (green text, white backgroud)
- Dark (simple white text on a dark backgroud)
- Use
styles/Template/style.css
as a starting point for your own style
- -prefix-free (included by default) takes care of all vendor prefixes, so you don't have to.
Slide transitions
- Slide visibility is completly managed by css; all slides except the one with the
class
pik-current
are invisible by default
- By changing the behavior of this class and the classes
pik-next
and
pik-prev
it is possible to create slide transitions
Programming presentations
- An
slideactivate
event is fired on the slides when they are shown
- A
slidedeactivate
event when hidden
- A
slidechange
event is fired on the window
object when slides change
Simple programming example
window.addEvent('domready', function(){
$('Demo').addEvents({
'slideactivate': function(){
do_something();
},
'slidedeactivate': function(){
do_something_else();
}
});
});
Printing presentations
- Use the print link in the control panel to print your presentation
- A very basic print stylesheet is included; use your own style file to enhance it to your liking
- Hide non-printable elements by adding the class
noprint
Plugins
- Plugins are simple scripts that can be used to add features a presentation
- backgroundHarmonizer.js keeps the presentation document's background color in sync with the current slide's background color.
- inputProtector.js prevents Pik6 from interpreting arrow key events emitted on input elements in the presentation as presentation commands
- printHandout.js enables a handout mode for printing, where only slides with the class
handout
are printed


We're a JavaScript framework! We'd appreciate it if you turned it on so you can receive the full experience. :D


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One may wonder how fast is tidyfst. Well, it depends. Generally, it is as fast as data.table because it is backed by it, but it would spend extra time on the generation of data.table codes. This extra time is marginal on large (and even small) data sets.
Now let’s do a test to compare the performance of tidyfst, data.table and dplyr. In the vignette we’ll use a small data set. The example was provided by the data.table package (https://h2oai.github.io/db-benchmark/) and tweaked here. These tests are based on computation by groups.
First let’s load the package and generate some data.
# load packages library(tidyfst) #> #> Life's short, use R. library(data.table) library(dplyr) #> #> Attaching package: 'dplyr' #> The following objects are masked from 'package:data.table': #> #> between, first, last #> The following objects are masked from 'package:tidyfst': #> #> between, cummean, nth #> The following objects are masked from 'package:stats': #> #> filter, lag #> The following objects are masked from 'package:base': #> #> intersect, setdiff, setequal, union library(bench) # generate the data # if you have a HPC and want to try larger data sets, increase N N = 1e4 K = 1e2 set.seed(2020) cat(sprintf("Producing data of %s rows and %s K groups factors\n", N, K)) #> Producing data of 10000 rows and 100 K groups factors DT = data.table( id1 = sample(sprintf("id%03d",1:K), N, TRUE), # large groups (char) id2 = sample(sprintf("id%03d",1:K), N, TRUE), # large groups (char) id3 = sample(sprintf("id%010d",1:(N/K)), N, TRUE), # small groups (char) id4 = sample(K, N, TRUE), # large groups (int) id5 = sample(K, N, TRUE), # large groups (int) id6 = sample(N/K, N, TRUE), # small groups (int) v1 = sample(5, N, TRUE), # int in range [1,5] v2 = sample(5, N, TRUE), # int in range [1,5] v3 = round(runif(N,max=100),4) # numeric e.g. 23.5749 ) object_size(DT) #> 527.7 Kb
This data is rather small, the size is around 527 Kb. However, with the bench package, we could detect the difference by increasing iteration times. In this way, examples listed here could be implemented even on relatively low performance computers.
Here, we try to get median and standard deviation by groups.After dplyr v1.0.0, the regrouping feature could be confusing sometimes (comes with warning message). If you are using it, make sure they are in the right groups before grouped computation. In tidyfst and data.table, we have “by” parameter to specify the groups. Here we would not check if the results are equal, because dplyr will return a tibble class even when we input a data.table in the first place. The iteration time is 10 for each of the test below.
bench::mark( data.table = DT[,.(median_v3 = median(v3), sd_v3 = sd(v3)), by = .(id4,id5)], tidyfst = DT %>% summarise_dt( by = "id4,id5", median_v3 = median(v3), sd_v3 = sd(v3) ), dplyr = DT %>% group_by(id4,id5,.drop = TRUE) %>% summarise(median_v3 = median(v3),sd_v3 = sd(v3)), check = FALSE,iterations = 10 ) -> q1 #> `summarise()` regrouping output by 'id4' (override with `.groups` argument) #> `summarise()` regrouping output by 'id4' (override with `.groups` argument) #> `summarise()` regrouping output by 'id4' (override with `.groups` argument) #> `summarise()` regrouping output by 'id4' (override with `.groups` argument) #> `summarise()` regrouping output by 'id4' (override with `.groups` argument) #> `summarise()` regrouping output by 'id4' (override with `.groups` argument) #> `summarise()` regrouping output by 'id4' (override with `.groups` argument) #> `summarise()` regrouping output by 'id4' (override with `.groups` argument) #> `summarise()` regrouping output by 'id4' (override with `.groups` argument) #> `summarise()` regrouping output by 'id4' (override with `.groups` argument) #> `summarise()` regrouping output by 'id4' (override with `.groups` argument) q1 #> # A tibble: 3 x 6 #> expression min median `itr/sec` mem_alloc `gc/sec` #> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl> #> 1 data.table 1.92ms 2.09ms 433. 2.21MB 0 #> 2 tidyfst 2.19ms 2.25ms 418. 659.23KB 0 #> 3 dplyr 287.36ms 305.41ms 3.23 4.07MB 15.2
We could find that spent time of tidyfst and data.table are quite similar, but much less than dplyr.
This example performs quite similar to the above one. tidyfst might spend a tiny little more time and space on code translation than data.table, but still performs much better than dplyr.
bench::mark( data.table =DT[,.(range_v1_v2 = max(v1) - min(v2)),by = id3], tidyfst = DT %>% summarise_dt( by = id3, range_v1_v2 = max(v1) - min(v2) ), dplyr = DT %>% group_by(id3,.drop = TRUE) %>% summarise(range_v1_v2 = max(v1) - min(v2)), check = FALSE,iterations = 10 ) -> q2 #> `summarise()` ungrouping output (override with `.groups` argument) #> `summarise()` ungrouping output (override with `.groups` argument) #> `summarise()` ungrouping output (override with `.groups` argument) #> `summarise()` ungrouping output (override with `.groups` argument) #> `summarise()` ungrouping output (override with `.groups` argument) #> `summarise()` ungrouping output (override with `.groups` argument) #> `summarise()` ungrouping output (override with `.groups` argument) #> `summarise()` ungrouping output (override with `.groups` argument) #> `summarise()` ungrouping output (override with `.groups` argument) #> `summarise()` ungrouping output (override with `.groups` argument) #> `summarise()` ungrouping output (override with `.groups` argument) q2 #> # A tibble: 3 x 6 #> expression min median `itr/sec` mem_alloc `gc/sec` #> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl> #> 1 data.table 871.4us 951.9us 975. 92.9KB 0 #> 2 tidyfst 1ms 1.06ms 933. 93.1KB 0 #> 3 dplyr 4.27ms 4.6ms 216. 299.7KB 23.9
Here we’ll display a rather different test to show the flexibly in tidyfst. In tidyfst, if your code writes more like data.table, the codes could speed up. If you write it more like dplyr, the codes might be more readable but slows down. In tidyfst, there is in_dt
function for you to write data.table codes to gain speed when you meet a bottomneck.
In the following example, we use the exact same syntax of data.table in tidyfst::in_dt
.
bench::mark( data.table =DT[order(-v3),.(largest2_v3 = head(v3,2L)),by = id6], tidyfst = DT %>% in_dt(order(-v3),.(largest2_v3 = head(v3,2L)),by = id6), dplyr = DT %>% select(id6,largest2_v3 = v3) %>% group_by(id6) %>% slice_max(largest2_v3,n = 2,with_ties = FALSE), check = FALSE,iterations = 10 ) -> q3 q3 #> # A tibble: 3 x 6 #> expression min median `itr/sec` mem_alloc `gc/sec` #> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl> #> 1 data.table 2.63ms 3ms 313. 396.38KB 0 #> 2 tidyfst 3.35ms 3.71ms 266. 842.55KB 0 #> 3 dplyr 12.79ms 15.58ms 61.1 1.45MB 26.2
To summarise multiple columns by group, tidyfst has designed a function named summarise_vars
, which is even more convenient than the across
function in dplyr. It first choose the columns, then tell it what to do, and you can provide the “by” parameter to operate by groups (optional).
bench::mark( data.table =DT[,lapply(.SD,mean),by = id4,.SDcols = v1:v3], tidyfst = DT %>% summarise_vars( v1:v3, mean, by = id4 ), dplyr = DT %>% group_by(id4) %>% summarise(across(v1:v3,mean)), check = FALSE,iterations = 10 ) -> q4 #> `summarise()` ungrouping output (override with `.groups` argument) #> `summarise()` ungrouping output (override with `.groups` argument) #> `summarise()` ungrouping output (override with `.groups` argument) #> `summarise()` ungrouping output (override with `.groups` argument) #> `summarise()` ungrouping output (override with `.groups` argument) #> `summarise()` ungrouping output (override with `.groups` argument) #> `summarise()` ungrouping output (override with `.groups` argument) #> `summarise()` ungrouping output (override with `.groups` argument) #> `summarise()` ungrouping output (override with `.groups` argument) #> `summarise()` ungrouping output (override with `.groups` argument) #> `summarise()` ungrouping output (override with `.groups` argument) q4 #> # A tibble: 3 x 6 #> expression min median `itr/sec` mem_alloc `gc/sec` #> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl> #> 1 data.table 1.24ms 1.33ms 699. 334KB 0 #> 2 tidyfst 3.8ms 4.15ms 241. 278KB 26.8 #> 3 dplyr 15.96ms 17.8ms 55.7 538KB 13.9
Take a look at the performance, tidyfst still lies between data.table and dplyr.
Now let’s try more groups, here we use all the id (id1~id6) as group, and get the sum and count. Note that tidyfst is written in data.table, so it do not use n()
in dplyr but .N
in data.table to get counts by group.
bench::mark( data.table =DT[,.(v3 = sum(v3),count = .N),by = id1:id6], tidyfst = DT %>% summarise_dt( by = id1:id6, v3 = sum(v3), count = .N ), dplyr = DT %>% group_by(id1,id2,id3,id4,id5,id6) %>% summarise(v3 = sum(v3),count = n()), check = FALSE,iterations = 10 ) -> q5 #> `summarise()` regrouping output by 'id1', 'id2', 'id3', 'id4', 'id5' (override with `.groups` argument) #> `summarise()` regrouping output by 'id1', 'id2', 'id3', 'id4', 'id5' (override with `.groups` argument) #> `summarise()` regrouping output by 'id1', 'id2', 'id3', 'id4', 'id5' (override with `.groups` argument) #> `summarise()` regrouping output by 'id1', 'id2', 'id3', 'id4', 'id5' (override with `.groups` argument) #> `summarise()` regrouping output by 'id1', 'id2', 'id3', 'id4', 'id5' (override with `.groups` argument) #> `summarise()` regrouping output by 'id1', 'id2', 'id3', 'id4', 'id5' (override with `.groups` argument) #> `summarise()` regrouping output by 'id1', 'id2', 'id3', 'id4', 'id5' (override with `.groups` argument) #> `summarise()` regrouping output by 'id1', 'id2', 'id3', 'id4', 'id5' (override with `.groups` argument) #> `summarise()` regrouping output by 'id1', 'id2', 'id3', 'id4', 'id5' (override with `.groups` argument) #> `summarise()` regrouping output by 'id1', 'id2', 'id3', 'id4', 'id5' (override with `.groups` argument) #> `summarise()` regrouping output by 'id1', 'id2', 'id3', 'id4', 'id5' (override with `.groups` argument) q5 #> # A tibble: 3 x 6 #> expression min median `itr/sec` mem_alloc `gc/sec` #> <bch:expr> <bch:tm> <bch:tm> <dbl> <bch:byt> <dbl> #> 1 data.table 3.22ms 4.44ms 221. 1.02MB 0 #> 2 tidyfst 4.04ms 4.33ms 222. 1.02MB 0 #> 3 dplyr 194.8ms 221.45ms 4.34 4.64MB 11.7
While in a data set of ~0.5 Mb we find that the performance of tidyfst lies between data.table and dplyr, we could discover that the speed is much closer to data.table. In fact, if you try a much larger data set in a computer with large RAM and multiple cores, you’ll find that the performance of tidyfst sticks close to data.table. If you are interested and has a high-performance computer, try to generate a larger data set and test out. Moreover, while the dplyr user might find these data manipulation verbs friendly, the innate syntax of tidyfst is more like data.table, and could be a good companion of data.table for some frequently used complex tasks.
sessionInfo() #> R version 4.0.2 (2020-06-22) #> Platform: x86_64-w64-mingw32/x64 (64-bit) #> Running under: Windows 10 x64 (build 18362) #> #> Matrix products: default #> #> locale: #> [1] LC_COLLATE=Chinese (Simplified)_China.936 #> [2] LC_CTYPE=Chinese (Simplified)_China.936 #> [3] LC_MONETARY=Chinese (Simplified)_China.936 #> [4] LC_NUMERIC=C #> [5] LC_TIME=Chinese (Simplified)_China.936 #> #> attached base packages: #> [1] stats graphics grDevices utils datasets methods base #> #> other attached packages: #> [1] bench_1.1.1 dplyr_1.0.1 data.table_1.13.0 tidyfst_0.9.9 #> #> loaded via a namespace (and not attached): #> [1] Rcpp_1.0.5 compiler_4.0.2 pillar_1.4.6 tools_4.0.2 #> [5] digest_0.6.25 evaluate_0.14 memoise_1.1.0 lifecycle_0.2.0 #> [9] tibble_3.0.3 pkgconfig_2.0.3 rlang_0.4.7 cli_2.0.2 #> [13] rstudioapi_0.11 yaml_2.2.1 parallel_4.0.2 pkgdown_1.5.1 #> [17] xfun_0.16 stringr_1.4.0 knitr_1.29 desc_1.2.0 #> [21] generics_0.0.2 fs_1.4.1 vctrs_0.3.2 rprojroot_1.3-2 #> [25] tidyselect_1.1.0 glue_1.4.1 R6_2.4.1 fansi_0.4.1 #> [29] profmem_0.5.0 rmarkdown_2.3 purrr_0.3.4 magrittr_1.5 #> [33] backports_1.1.8 htmltools_0.5.0 ellipsis_0.3.1 MASS_7.3-51.6 #> [37] fst_0.9.2 assertthat_0.2.1 utf8_1.1.4 stringi_1.4.6 #> [41] crayon_1.3.4


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| local_test_context {testthat} | R Documentation |
local_test_context()
is run automatically by test_that()
but you may
want to run it yourself if you want to replicate test results interactively.
If run inside a function, the effects are automatically reversed when the
function exits; if running in the global environment, use
withr::deferred_run()
to undo.
local_reproducible_output()
is run automatically by test_that()
in the
3rd edition. You might want to call it to override the the default settings
inside a test, if you want to test Unicode, coloured output, or a
non-standard width.
local_test_context(.env = parent.frame()) local_reproducible_output( width = 80, crayon = FALSE, unicode = FALSE, .env = parent.frame() )
.env |
Environment to use for scoping; expert use only. |
width |
Value of the |
crayon |
Value of the |
unicode |
Value of the |
local_test_context()
sets TESTTHAT = "true"
, which ensures that
is_testing()
returns TRUE
and allows code to tell if it is run by
testthat.
In the third edition, local_test_context()
also calls
local_reproducible_output()
which temporary sets the following options:
cli.dynamic = FALSE
so that tests assume that they are not run in
a dynamic console (i.e. one where you can move the cursor around).
cli.unicode
(default: FALSE
) so that the cli package never generates
unicode output (normally cli uses unicode on Linux/Mac but not Windows).
Windows can't easily save unicode output to disk, so it must be set to
false for consistency.
crayon.enabled
(default: FALSE
) suppresses ANSI colours generated by
the crayon package (normally colours are used if crayon detects that you're
in a terminal that supports colour).
lifecycle_verbosity = "warning"
so that every lifecycle problem always
generates a warning (otherwise deprecated functions don't generate a
warning every time).
OutDec = "."
so numbers always uses .
as the decimal point
(European users sometimes set OutDec = ","
).
rlang_interactive = FALSE
so that rlang::is_interactive()
returns
FALSE
, and code that uses it pretends you're in a non-interactive
environment.
useFancyQuotes = FALSE
so base R functions always use regular (straight)
quotes (otherwise the default is locale dependent, see sQuote()
for
details).
width
(default: 80) to control the width of printed output (usually this
varies with the size of your console).
And modifies the following env vars:
Unsets RSTUDIO
, which ensures that RStudio is never detected as running.
Sets LANGUAGE = "en"
, which ensures that no message translation occurs.
Finally, it sets the collation locale to "C", which ensures that character sorting the same regardless of system locale.
local({ local_test_context() cat(crayon::blue("Text will not be colored")) cat(cli::symbol$ellipsis) cat("\n") }) ellipsis <- cli::symbol$ellipsis test_that("test ellipsis", { expect_equal(ellipsis, cli::symbol$ellipsis) local_reproducible_output(unicode = TRUE) expect_equal(ellipsis, cli::symbol$ellipsis) })


Welcome to my website. Currently, I'm doing my BTech in Computer Science from Lovely Professional University.
I love doing competitive programming and building new stuff.
Android Application Development
Competitive Programming
C, C++
Java
React
Python
Weather application which is designed with material design guidelines. With the use of openweathermap's api and Implementing Motion Layout for a better user interface, chaos :)
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|
Noise++
|
#include <NoiseImage.h>
Public Member Functions | |
| Image () | |
| void | create (int width, int height) |
| void | clear () |
| unsigned char * | getPixelData () const |
| unsigned char * | getPixelData (int i) const |
| unsigned char * | getPixelData (int x, int y) const |
| int | getWidth () const |
| int | getHeight () const |
| ~Image () | |
| bool | saveBMP (const char *filename) |
| void noisepp::utils::Image::create | ( | int | width, |
| int | height | ||
| ) |
Creates the image with the specified parameters.
| width | Width of the image. |
| height | Height of the image. |
|
inline |
Returns a pointer to the pixel data at the specified row.
| i | The row number. |


The following column names are expected with those aliases:
value : The KPI's value. The column must contain numbers.
date: Non formatted SQL date of the value measured or ISO 8601.
breakdown_Name (optional): Additional attributes to analyse indicators even further
into deeper levels
(also known as drill-downs). Modify the column alias to name each breakdown.
For example, to see {{queryIndicator.name}} by product, the query should look something like:
SELECT billing_amount AS "value",
billing_date AS "date",
product AS "breakdown_Product" FROM
Invoice_Table


Maximum precaution at Barcelona over Jordi Alba's hamstring injury
The club won't rush the left-back into action after latest setback
by German BonaJordi Alba is injured again. The left-back suffered a relapse of a hamstring injury in the game against Slavia Prague on Tuesday. It's the same injury he picked up against Borussia Dortmund earlier this season.
SPORT revealed at that time he would be out for three weeks and that's how long he was sidelined for. This time, he could be out for a little longer, up to a month, due to the club being extra precautious.
It's not that he was rushed back the first time, but Barça didn't perhaps ease him back as they should have done given his importance to the team. That's clear given Ernesto Valverde's use of Junior Firpo.
If he is feeling good, he could return for the first time against Borussia Dortmund on Nov. 27. It's difficult to imagine him playing before then.
Alba knew immediately during the Slavia game what had happened and asked to be taken off. He was so worried that he was close to tears. He feels he's not having much luck with injuries at the moment and it's limiting him reaching his best form.


THE FIFTH ELEMENT A film review by Marty Mapes Copyright 1997 Marty Mapes
*** (out of 4) The trailers for The Fifth Element make it look like it tries very hard, perhaps too hard, to be cool and stylish. The futuristic setting and the backflipping scraggly girl invite a skeptical comparison to Blade Runner.
In fact, the movie does have some elements of Blade Runner. It also has some from Die Hard, Brazil, Star Wars, and Stargate. It sounds like a big confused jumble, but actually it has its own internal consistency and look. It is almost immediately engaging and engrossing.
After an introductory scene in Egypt, 1918, the movie jumps to the 23rd century.  Attempts to destroy this Evil with force result in the growth and strengthening of the evil body.
Four stones from the early Egypt sequence, plus a perfectly engineered human, the Fifth Element, are needed to banish the darkness and death.
The good aliens, the golden robot ducks, are the keepers of the stones and of the Fifth Element. When they learn of humanity's impending doom, they come to the aid of the Earth, bearing these five components. On their way to Earth, they are shot down by the the evil mercenary aliens, "destroying" the stones and the Fifth Element in the fiery wreckage.
The human government is able to salvage a piece of the Fifth Element from the wreckage and regenerate the perfect human using DNA from the mummified and stone-encased piece of shrapnel. The human reincarnated from the Fifth Element is Leeloo, and she escapes from the clutches of the scientists so she can go off in search of the priest she's been programmed to find.
She falls into the arms of Corben Dallas (Bruce Willis), a down-on-his-luck space cab driver, an ex-space military man kicked out of the space army who now lives alone with his cat. (In the last Besson film, The Professional, the hero lived alone with his plant.). The two end up on a search for the stones so that they can vanquish the evil black hole.
Working against them is Jean-Baptise Emmanuel Zorg (that's John-the-Baptist, Jesus, Zorg, played by Gary Oldman), who wants to steal the stones and use them for evil and darkness. (Chaos is better for the economy, you see.)
The plot sounds rather ridiculous, but The Fifth Element is so engaging and has such integrity of style, that I was never bothered by the cartoonishness of the plot. This is a positive example of solving a problem by throwing enough money at it.
Several factors make this movie much better than it sounds. First, the visual elements of this movie are interesting, and the filmmakers went all out. The sets are great (the scientist's chamber), the costumes are great (the police officers, the aliens), the special effects are good, and these are cartoonish by the same amount as the plot, which allows them to cohabitate in the same movie.
Second, this movie is good, fun, escapist entertainment. The movie has a little humor and camp -- not too much to distract from the action, but enough to keep you watching for little jokes. If you haven't seen it yet, pay attention to Dallas' cigarettes, or look for visual "quotes" from Star Wars. There are lots of clever details packed into the movie.
Finally, the editing (by Sylvie Landra) was superb. Besson and Landra used some cross-cutting techniques both to cleverly link scenes and also to transition from one scene to the next. The cross-cutting (as well as the "regular" straight cutting) kept the movie's pace nice and brisk.
The one factor that nearly everyone disklikes about this movie is the character Ruby Rhod (played by Chris Tucker -- rhodamine is another shade of red). Ruby is a flamingly shrill, annoying DJ, ten times worse than Howard Stern and Rush Limbaugh combined. Many people say the movie would have been better without him, and I'd have a hard time disagreeing.
Nevertheless, it is refreshing to see a science fiction movie with space scenes and interesting aliens that is not part of some established Star (fill-in-the-blank) series or based on some pre-existing comic book. Apparently, Besson wrote the story for The Fifth Element when he was a teenager, and he is just now coming back to it.
This movie is not as heavy as Blade Runner or as insightful as Brazil, but incorporates a lot of the more fun elements from both. The result is a movie that's less substantial than either, but a lot more fun.
Check out more current movie reviews at http://www.indra.com/~mmapes/
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
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Related links: index of all rec.arts.movies.reviews reviews


Dependencies and Building
Dependencies (listed by opam package name and version)
- coq 8.7.0
- coq-bignums 8.7.0
- coq-coquelicot 3.0.1
- coq-flocq 2.6.0
- coq-interval 3.3.0
- coq-mathcomp-ssreflect 1.6.4
- coq-stdpp 1.1.0
Outline by Paper Sections
The distribution should come with the CoqDoc documentation prebuilt. But if you deleted the html/ subfolder or ran "make clean" you may need to run "make html" to re-build it, or else none of the links will work.
If you are unfamiliar with this kind of CoqDoc HTML output, please note that terms occurring in a theorem or definition are usually also made into links to where those terms are defined. So, if you click on something like Karp's theorem below which mentions a function called D, you can click on the D to get to the definition of D.
- Section 2:
- Probability Distributions
- Random Variables
- Expectation
- Proof that finite expectations are equal to ssreflect sums
- Probabilistic Choice Monad (ldist)
- Bind (Definitions in paper are just the definitions of the list of outcomes, here we give the necessary proofs that the outcome weights are all positive and the sum is equal to 1)
- Ret
- Some equational reasoning rules
- Rules for calculating expectations
- Hoare-like rules
- Section 3:
- Karp's theorem (There is an extra parameter "P" that we use in these bounds which is useful for reasoning about examples where the bound only holds for a subset of inputs. Of course, this could be handled by using dependent types to restrict the "input" type to this subset, but we found it is nicer sometimes to have this parameter P instead.)
- Extension of Karp's theorem to span
- Extension of Karp's theorem to work
- Section 4:
- Sequential Quicksort:
- Parallel Quicksort:
- Binary Search Tree:
- Code
- Correctness (We show that the random insertion procedure is indeed equivalent to inserting the elements in some permutation)
- General Bound
- Numerical calculation
- Leader Election:
- Section 5:
Guide to Notable Files
- basic/ -- Some miscellaneous files that do not really belong anywhere else: extensions to the ssreflect bigop library, tactics for converting between ssreflect nats and standard library nats, etc.
- prob/ -- Basic library of results for discrete probability theory.
- prob.v -- Definition of distributions, random variables, and expectation.
- finite.v -- Specialized lemmas for distributions on finite types
- rearrange.v -- Proof that absolutely convergent infinite series can be rearranged. This is a matter of pure real analysis, but it is needed for showing that countable series over a finite type must be equal to just a finite sum.
- double.v -- Proof that "summable" double series can be arranged without changing their value. This is again a matter of analysis, but it is needed for some facts involving products of distributions and alternate formulas for calculating expectation.
- stochastic_order.v -- Facts about distributional equality and stochastic dominance. Various rules showing you can convert a stochastic recurrence phrased in terms of pr_eq into one involving pr_gt (for instance).
- rec/ -- Proofs of Karp's theorem and extensions, solutions to some recurrences (abstractly stated as stochastic recurrences, not yet tied to the code (that happens in the next section))
- karp.v -- Karp's theorem
- span2.v -- Extension to binary span recurrences.
- work2.v -- Extension to binary work recurrences.
- decreasing_rec.v -- Some results about eventual termination of stochastic recurrence.
- leader_rec.v, quicksort_rec.v, counter_rec.v, log_rec.v, quickselect_rec.v -- solutions to various recurrences, again, not yet tied to the code that they are derived from (see next section)
- monad/ -- Definitions of probabilistic choice monads, various examples from paper.
- monad.v -- probabilisitic choice monad.
- monad_cost.v -- sequential cost monad.
- monad_par.v -- parallel cost monad.
- monad_hoare.v -- Hoare-esque rules for reasoning about the monad.
- quicksort.v -- sequential quicksort implementation
- quicksort_correct.v -- proof it sorts
- quicksort_cost.v -- tail bound for number of comparisons for sequential quicksort.
- par_quicksort.v -- parallel quicksort implementation
- par_quicksort_correct.v -- proof it sorts
- par_quicksort_cost.v -- tail bound for span.
- bst.v -- construction of randomized BST
- bst_correct.v -- proof that output of random insertion is equivalent to inserting some permutation
- bst_height.v -- tail bound for height
- leader.v -- randomized leader election
- leader_cost.v -- tail bound for number of rounds.


Welcome to Jenkas Junkfood!
Our burgers
These are our currently available burgers
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Bagging¶
Bagging, short for bootstrap aggregating, combines the results of several learners trained on bootstrapped samples of the training data. The process of bagging is very simple yet often quite powerful.
Bootstrapping¶
Bootstrapping is commonly used in statistical problems to approximate the variance of an estimator. Suppose we observe dataset \(\mathcal{D}\) and we are interested in some parameter \(\theta\) (such as the mean or median). Estimating \(\theta\) is one thing, but understanding the variance of that estimate is another. For difficult problems, the bootstrap helps find this variance.
The variance of an estimator tells us how much it would vary from sample to sample. Suppose we drew \(B\) datasets of equal size, \(\mathcal{D}_1\) through \(\mathcal{D}_B\), and each time estimated of \(\theta\). We would then be able to calculate the variance of our estimate since we have \(B\) observed estimates. In practice however, we are stuck with only one dataset. The bootstrap enables us to approximate the variance of our estimate with only one dataset. This procedure is outlined below.
Bootstrap Procedure
Suppose we have a dataset \(\mathcal{D} = \{x_1, x_2, \dots, x_N\}\) of size \(N\). Suppose also that we choose to estimate the parameter \(\theta\) with some function of the data, \(\hat{\theta} = f(\mathcal{D})\). For some large value \(B\), do the following.
For \(b = 1, 2, \dots, B\),
Sample \(N\) observations from \(\mathcal{D}\) with replacement. Call this sample \(\mathcal{D}^*_b\).
Estimate \(\theta\) on the bootstrapped sample, \(\hat{\theta}^*_b = f(\mathcal{D}^*_b)\).
Calculate the sample variance of the bootstrapped estimates, \(\{ \hat{\theta}^*_1, \dots, \hat{\theta}^*_B\}\). Let this be our estimate of the variance of \(\hat{\theta}\).
The same bootstrap procedure can be extended to serve a very different purpose. Bagging uses the bootstrap to reduce—rather than estimate—the variance of a model.
Bagging for Decision Trees¶
A bagging model trains many learners on bootstrapped samples of the training data and aggregates the results into one final model. We will outline this procedure for decision trees, though the approach works for other learners.
Bagging Procedure
Given a training dataset \(\mathcal{D} = \{\bx_n, y_n\}_{n = 1}^N\) and a separate test set \(\mathcal{T} = \{\bx_t \}_{t = 1}^T\), we build and deploy a bagging model with the following procedure. The first step builds the model (the learners) and the second generates fitted values.
For \(b = 1, 2, \dots, B\),
Draw a bootstrapped sample \(\mathcal{D}^*_b\).
Build a decision tree \(T^*_b\) to the bootstrapped sample.
For test observation \(t = 1, 2, \dots, T\),
For \(b = 1, 2, \dots, B\),
Calculate \(\hat{y}^*_{tb}\), observation \(t\)’s fitted value according to tree \(T^*_b\).
Combine the \(\hat{y}^*_{tb}\) into a single fitted value, \(\hat{y}_t\).
How exactly we combine the results of the learners into a single fitted value (the second part of the second step) depends on the target variable. For a continuous target variable, we typically average the learners’ predictions. For a categorical target variable, we typically use the class that receives the plurality vote.
To recap bagging, we simply build a large number of learners on bootstrapped samples of the data and combine the predictions of these learners into one single fitted value. As if creating new datasets, the bootstrap provides our model with more training samples in order to improve its estimates.


§269-29 Perjury. Any person who wilfully and knowingly makes under oath any false statement in connection with any investigation by or proceeding before the public utilities commission shall be guilty of perjury and, upon conviction, shall be subject to the penalty prescribed by law for the offense. [L 1913, c 89, §16; RL 1925, §2206; RL 1935, §7964; RL 1945, §4725; RL 1955, §104-26; HRS §269-29]
Cross References
Perjury and related offenses, see §§710-1060 to 1068.


Example Health
Example Heatlh is a simulated health data and software demonstration.
All data within the system is simulated
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+++
title = "Grafana-Operator"
linkTitle = "grafana-operator"
+++
{{< blocks/cover title="Grafana-Operator: A Kubernetes operator to manage Grafana instances!" image_anchor="top" height="full" color="orange" >}}
{{< /blocks/cover >}}
{{% blocks/lead color="primary" %}}
The grafana-operator is a Kubernetes operator built to help you manage your Grafana instances in and outside of Kubernetes.
We make it possible for you to manage and share Grafana dashboards, datasources etc. through code between multiple instances in an easy and scalable way.
{{% /blocks/lead %}}
{{< blocks/section color="white" >}}
{{% blocks/feature icon="fab fa-slack" title="Grafana-Operator slack" %}}
Sign up for the [Kubernetes slack](https://slack.k8s.io/) today
and join the [grafana-operator channel](https://kubernetes.slack.com/messages/grafana-operator/)
to chat with maintainers and users.
{{% /blocks/feature %}}
{{% blocks/feature icon="fab fa-github" title="Contributions welcome" url="https://github.com/grafana-operator/grafana-operator/blob/master/CONTRIBUTING.md" %}}
Feel free to do a [Pull Request](https://github.com/grafana-operator/grafana-operator/pulls) contributions workflow on **GitHub**. New contributors are always welcome!
{{% /blocks/feature %}}
{{< /blocks/section >}}


Consistency semantics define the outcome of multiple accesses to a single file. All file accesses in MPI are relative to a specific file handle created from a collective open. MPI provides three levels of consistency: sequential consistency among all accesses using a single file handle, sequential consistency among all accesses using file handles created from a single collective open with atomic mode enabled, and user-imposed consistency among accesses other than the above. Sequential consistency means the behavior of a set of operations will be as if the operations were performed in some serial order consistent with program order; each access appears atomic, although the exact ordering of accesses is unspecified. User-imposed consistency may be obtained using program order and calls to MPI_FILE_SYNC.
Let FH1 be the set of file handles created from one particular collective open of the file FOO, and FH2 be the set of file handles created from a different collective open of FOO. Note that nothing restrictive is said about FH1 and FH2: the sizes of FH1 and FH2 may be different, the groups of processes used for each open may or may not intersect, the file handles in FH1 may be destroyed before those in FH2 are created, etc. Consider the following three cases: a single file handle (e.g., ), two file handles created from a single collective open (e.g., and ), and two file handles from different collective opens (e.g., and ).
For the purpose of consistency semantics, a matched pair (Section Split Collective Data Access Routines ) of split collective data access operations (e.g., MPI_FILE_READ_ALL_BEGIN and MPI_FILE_READ_ALL_END) compose a single data access operation. Similarly, a nonblocking data access routine (e.g., MPI_FILE_IREAD) and the routine which completes the request (e.g., MPI_WAIT) also compose a single data access operation. For all cases below, these data access operations are subject to the same constraints as blocking data access operations.
Advice to users.
For an MPI_FILE_IREAD and MPI_WAIT pair,
the operation begins when MPI_FILE_IREAD is called and
ends when MPI_WAIT returns.
( End of advice to users.)
Assume that A1 and A2 are two data access operations.
Let D1 (D2) be the set of absolute byte displacements
of every byte accessed in A1 (A2).
The two data accesses overlap
if
.
The two data accesses conflict
if they overlap and at least one is a write access.
Let SEQfh be a sequence of file operations on a single file handle, bracketed by MPI_FILE_SYNCs on that file handle. (Both opening and closing a file implicitly perform an MPI_FILE_SYNC.) SEQfh is a ``write sequence'' if any of the data access operations in the sequence are writes or if any of the file manipulation operations in the sequence change the state of the file (e.g., MPI_FILE_SET_SIZE or MPI_FILE_PREALLOCATE). Given two sequences, SEQ1 and SEQ2, we say they are not concurrent if one sequence is guaranteed to completely precede the other (temporally).
The requirements for guaranteeing sequential consistency among all accesses to a particular file are divided into the three cases given below. If any of these requirements are not met, then the value of all data in that file is implementation dependent.
Case 1: $fh_1 contained in FH_1$ All operations on fh1 are sequentially consistent if atomic mode is set. If nonatomic mode is set, then all operations on fh1 are sequentially consistent if they are either nonconcurrent, nonconflicting, or both.
Case 2: $fh_1a contained in FH_1$ and $fh_1b contained in FH_1$ Assume A1 is a data access operation using fh1a, and A2 is a data access operation using fh1b. If for any access A1, there is no access A2 that conflicts with A1, then MPI guarantees sequential consistency.
However, unlike POSIX semantics, the default MPI semantics for conflicting accesses do not guarantee sequential consistency. If A1 and A2 conflict, sequential consistency can be guaranteed by either enabling atomic mode via the MPI_FILE_SET_ATOMICITY routine, or meeting the condition described in Case 3 below.
Case 3: $fh_1 contained in FH_1$ and $fh_2 contained in FH_2$ Consider access to a single file using file handles from distinct collective opens. In order to guarantee sequential consistency, MPI_FILE_SYNC must be used (both opening and closing a file implicitly perform an MPI_FILE_SYNC).
Sequential consistency is guaranteed among accesses to a single file if for any write sequence SEQ1 to the file, there is no sequence SEQ2 to the file which is concurrent with SEQ1. To guarantee sequential consistency when there are write sequences, MPI_FILE_SYNC must be used together with a mechanism that guarantees nonconcurrency of the sequences.
See the examples in Section Examples for further clarification of some of these consistency semantics.
| MPI_FILE_SET_ATOMICITY(fh, flag) | |
| INOUT fh | file handle (handle) |
| IN flag | true to set atomic mode, false to set nonatomic mode (logical) |
int MPI_File_set_atomicity(MPI_File fh, int flag)
MPI_File_set_atomicity(fh, flag, ierror)
TYPE(MPI_File), INTENT(IN) :: fh
LOGICAL, INTENT(IN) :: flag
INTEGER, OPTIONAL, INTENT(OUT) :: ierror
MPI_FILE_SET_ATOMICITY(FH, FLAG, IERROR)
INTEGER FH, IERROR
LOGICAL FLAG
Let FH be the set of file handles created by one collective open. The consistency semantics for data access operations using FH is set by collectively calling MPI_FILE_SET_ATOMICITY on FH. MPI_FILE_SET_ATOMICITY is collective; all processes in the group must pass identical values for fh and flag. If flag is true, atomic mode is set; if flag is false, nonatomic mode is set.
Changing the consistency semantics for an open file only affects new data accesses. All completed data accesses are guaranteed to abide by the consistency semantics in effect during their execution. Nonblocking data accesses and split collective operations that have not completed (e.g., via MPI_WAIT) are only guaranteed to abide by nonatomic mode consistency semantics.
Advice
to implementors.
Since the semantics guaranteed by atomic mode are stronger than
those guaranteed by nonatomic mode, an implementation is
free to adhere to the more stringent atomic mode semantics
for outstanding requests.
( End of advice to implementors.)
| MPI_FILE_GET_ATOMICITY(fh, flag) | |
| IN fh | file handle (handle) |
| OUT flag | true if atomic mode, false if nonatomic mode (logical) |
int MPI_File_get_atomicity(MPI_File fh, int *flag)
MPI_File_get_atomicity(fh, flag, ierror)
TYPE(MPI_File), INTENT(IN) :: fh
LOGICAL, INTENT(OUT) :: flag
INTEGER, OPTIONAL, INTENT(OUT) :: ierror
MPI_FILE_GET_ATOMICITY(FH, FLAG, IERROR)
INTEGER FH, IERROR
LOGICAL FLAG
MPI_FILE_GET_ATOMICITY returns the current consistency semantics for data access operations on the set of file handles created by one collective open. If flag is true, atomic mode is enabled; if flag is false, nonatomic mode is enabled.
| MPI_FILE_SYNC(fh) | |
| INOUT fh | file handle (handle) |
int MPI_File_sync(MPI_File fh)
MPI_File_sync(fh, ierror)
TYPE(MPI_File), INTENT(IN) :: fh
INTEGER, OPTIONAL, INTENT(OUT) :: ierror
MPI_FILE_SYNC(FH, IERROR)
INTEGER FH, IERROR
Calling MPI_FILE_SYNC with fh causes all previous writes to fh by the calling process to be transferred to the storage device. If other processes have made updates to the storage device, then all such updates become visible to subsequent reads of fh by the calling process. MPI_FILE_SYNC may be necessary to ensure sequential consistency in certain cases (see above).
MPI_FILE_SYNC is a collective operation.
The user is responsible for ensuring that all nonblocking requests and split collective operations on fh have been completed before calling MPI_FILE_SYNC --- otherwise, the call to MPI_FILE_SYNC is erroneous.


11 Ways To Hang Anything on a Wall
by Popular MechanicsTVs, mirrors, pictures, and more. If you need to hang something on the wall, we've got you covered.
TVs, mirrors, pictures, and more. If you need to hang something on the wall, we've got you covered.


{{/* Copyright 2023 syzkaller project authors. All rights reserved. Use of this source code is governed by Apache 2 LICENSE that can be found in the LICENSE file. The list of polled trees. */}}


Welcome to NowShowing
This docker provides a summary of new media that has recently been added to Plex.
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"use strict"; var strings = { /** * Errors */ "NOT_IMPLEMENTED" : "Method not implemented.", "CURSOR_CLOSED" : "Cursor is closed.", "REQUIRES_INT" : "Argument \"%s\" requires an integer.", "MISSING_ARG" : "Argument \"%s\" is mandatory.", "ITEM_EXISTS" : "Item exits.", "ITEM_DOESNOT_EXIST" : "Item does not exist.", "MISSING_ID" : "Identifier not specified.", "MISSING_CONN_STR" : "Missing connStr (connection string) argument.", "MISSING_CONF_PROV" : "Cofiguration provider must be specified (config.provider).", "MISSING_CONF_FOR_ENV" : "There is no configuration for environment \"%s\".", "NO_PROVIDERS" : "No providers configured for environment \"%s\". ", "DEF_MAN_INITED" : "The default manager is already initialized.", "REQUIRED_CALLBACK" : "Callback function is required.", "MISSING_PROV_ARGS" : "Missing provider arguments. The minimum required arguments are: Provider({ connStr: \"database connection string\" });", "PROVIDER_EXISTS" : "A collection with the name of \"%s\" is already registered.", "CONN_EXISTS" : "A connection with the name of \"%s\" is already registered.", "NO_SUCH_PROVIDER" : "A collection with the name of \"%s\" has not been registered.", "NO_SUCH_CONN" : "A connection with the name of \"%s\" has not been registered.", "ERR_ALREADY_INIT" : "Entree is already initialized. If you want to override the current setup provide replace argument.", "UNSUP_MAP_TYPE" : "Unsuported mapping type.", "NO_CONF_FILE" : "The specified configuration document doesn't exist.", "MISSING_CONFIG" : "Missing configuration. A configuration object should be provided to init method or alternatively a configuration file should be present at the following default location: \"./data/config/dataModel.json\".", "MISSING_CONF_PARAMS" : "When config is specified, all its parameters are required. Pleas see Manager.init documentation.", "SCHEMA_EXISTS" : "A schema with the name of \"%s\" is already registered.", "NO_SUCH_SCHEMA" : "A schema with the name of \"%s\" has not been registered.", "REQUIRED_NAME_PROP" : "\"name\" property is required for %s object.", "REQUIRED_SCHEMA_NAME" : "\"__name__\" property is required when setting schema object.", "ERR_COLLS_ARG" : "The argument colls must be an Array of strings and must have length of at least two elements.", "TRANS_NOT_INITIAL" : "A transaction can be saved only when in initial state.", "INVALID_FIELD_NAME" : "Field names cannot start with $.", "OPERS_ONLY_ALLOWED" : "Only update operators, such as $set and $inc, are allowed in batch updates.", "OPERS_NOT_ALLOWED" : "Update operators, such as $set and $inc, are not allowed when inserting. However, they can be used with upsert method.", "COLLECTIVE_ERROR" : "Multiple errors have occurred. To see them, please examine \"errors\" collection.", "CANNOT_INC_VERSION" : "Cannot increment version when replacing the entire document.", "INVALID_TRANS_STORE" : "Invalid configuration for transaction store." }; module.exports = strings;


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These earlier CNCs were thus not capable of 3D carving and were referred to as 2 or 2.5D tools. . When the software generates the part file, the instructions will first move the CNC . Showing tabs still in place - image courtesy of from Vectric .
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How to Scan a Picture & Carve It in Wood With a CNC | eHow.com
Computer-numerical-controlled routers can be used to engrave pictures into wood, . CNC Router Projects; How to Program a CNC Router; Low Relief Wood .
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ShopBotTools CNC Routers
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RoboCNC Tutorial 001 : Make a wooden picture with PhotoVcarve ...
Oct 30, 2011 . There are many different styles that can be used within this software package. This time i will show how you can turn a photograph into a wooden relief. . 5 of 23 Wood Routers: How To Make A Jig To Route A Tapered .
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New router enhances the precision of woodworking - MIT News Office
Aug 7, 2012 . But rather than simply throwing the pieces of wood into the trash and settling for a store-bought picture frame, Rivers decided there had to be a .
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CNC Software | CAD/CAM Design Software
We specialize in CNC software for sign making, wood working and metal . We offer CNC router software for 3-axis CNC machines, as well as vast array of .
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General CNC : Software Solutions
This program can be learned in a few short minutes. i-Picture converts grey scale images into . Cabinet Parts Pro is included with Pro Series CNC routers.
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Next Wave Automation - CNC Shark
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Understanding CNC Routers - Solutions for Wood
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This guide provides information on the Turing environment (the editor, the run windows, etc.) It does not provide any information on the Turing programming language itself.
Note, if you have any questions not answered here, please check with the Turing Teacher/Administrator's Complete Guide for more information.
This page also lists which bugs have been fixed and when new features have been added. The page also contains a section ( http://www.holtsoft.com/turing/support/#turing4patches) where a file can be downloaded that will update most versions of Turing to the latest version.
If you are a teacher or an administrator at a school and require a complete installation file (as opposed to the publically available patch), contact Tom West at<PHONE_NUMBER>.
There are only two administration issues that must be addressed to configure Turing properly.
It is important that the start-in directory for Turing be set to the student's home directory. This is done by setting the start-in (or working) directory of the shortcut or menu item used to launch Turing to the drive mapped to the student's home directory.
The shortcut's working directory can be modified by changing it's start-in or working directory property. (To display the Properties dialog box, right click on the shortcut or menu item and select Properties from the pop-up menu.)
This requires that you have write access to the shortcut. Note that commercial menu front-ends have their own way of setting the start-in directory of applications.
If there is no drive mapped to the student's home directory, or this method is not applicable to your system setup, please check with the Turing Teacher/Administrator's Complete Guide for more information.
Turing can be set to Beginner mode, in which case only one file is open at a time. Opening up another file closes the first one. When the program is running, the Editor window minimizes. In this way, only one window is usually visible at a time. In this fashion, Beginner mode is similar to the old DOS Turing.
In Regular mode, any number of files can be opened and each appears in its own editor window.
In general, we suggest Beginner mode for grade 9 and 10 and Regular mode for all others. If you are using Beginner mode, we suggest that you point out to the students that they can use the Prefences to change to Regular mode when they feel comfortable with the environment.
To change the mode (or to make any other change to the system preferences), you must open a DOS window, cd to the directory in which the Turing executable (turing.exe) is located and issue the command:
This will cause Turing to start in Administrator mode, displaying the following dialog box:
Selecting Preferences from the File menu will display a tabbed dialog box of all the Turing preferences.
Set (or unset) the Beginner Mode preference, click the OK button and quit Turing. Of course, you can change any other preferences that you would like. Any changes that you make here will affect all those using Turing.
If your school does not have such a license, students can purchase the software for home use by printing and then mailing an order form found http://www.holtsoft.com/studentbuy. This order form can also be used to allow interested students to purchase textbooks.
If your school has purchased a redistribution license (almost 200 schools have done so), then you may redistribute the Turing software to your students. You can either burn copies of the CD to distribute to students or place the Turing installer file onto your school Internet server and give your students the URL.
If you place this file on your school internet server, you must not make any links from your web pages to the software.
This will prevent other users of the web from downloading your software. If you place links from your school's web site, then at some point a web search engine will find the software and post its location to the internet at large, allowing for large scale piracy (and a very overloaded school web server). If there are no links to the software, then only those who have been told the exact URL will be able to download the software.
Note that if you are copying a number of different programs onto a single CD for redistribution, you may rename the Turing installer program to something more descriptive.
Permanent student redistribution licenses can be purchased for $500-$750 for most schools. If you are interested in purchasing a student redistribution license, contact Chris Stephenson at<PHONE_NUMBER> or<EMAIL_ADDRESS>| Telephone: |<PHONE_NUMBER> | |
| Toll free: | 1-800-361-8324 | |
| Fax: |<PHONE_NUMBER> | |
| E-mail: |<EMAIL_ADDRESS>|


| Id | Name | Open Date |
Close Date |
School Year |
Leaver Year |
Locked |
|---|---|---|---|---|---|---|
| {{survey.Id}} | {{survey.Name}} | {{survey.OpenDate}} | {{survey.CloseDate}} | {{survey.SchoolYear}} | {{survey.LeaverYear}} | {{survey.LsLocked}} |


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Caleb, Alex, Keri, Jordan & Ryan - Thanks for sharing your thoughts of the best places for designers to live and thrive! It’s giving me tons of suggestions for my "Places to Visit" list
For the rest of you, please do share your thoughts.
------------------------------------------
Jessica Phan
ZURB | Designer
<EMAIL_ADDRESS>408.341.0600 x623
------------------------------------------
Helping People Design
for People.
http://zurb.com/university/courses
------------------------------------------


EVERYTHING GETS A CEL SHADER
29 Aug 2014So I think I'm about to get obsessed with cel shading. I like the look of it. I started by googling "unity cel shader" and getting crap results. Then, after several hours, I found out Unity has a built-in cel shader.
I'm also starting to see the merit of quick, messy prototypes composed largely of things other people have made. Here's my current mess:
Unity's stock 3rd person controller, some random "Alice" prefab I found, and no attempt at making decent terrain.  So far, I'm in favor.
In general, I've been focusing on character models. I've rarely focused on art. I'm thinking I should strengthen that weakness. I came across this character creation tool called UMA that seems like it's going for realism:
Definitely some uncanny valley stuff going on there. I have nothing but respect for the guy or girl that coded this, because I wouldn't even know where to begin, but those are some awkward looking character models. I've decided to stray away from realism and move more towards cartoonish models. Cartoonish models are something that someone with my art creation skills (see: none) can deal with.
I did mess with voxels, for about 30 total minutes. I think I've lost my passion for them. I feel like there was a voxel feeding frenzy for a few years, and now we're reaching a point of stability where everything interesting that could be done with them has been done. I doubt I'll change the world if I start working with them. A friend of mine this Summer wrote on the whiteboard in our game lab "Because you'll never pull a Notch." I believe he was right.
 Even a cel shader couldn't make this interesting, and that's saying something. Voxel projects also appear quite grueling in the code department. At least the good voxel projects.
The next step for me is probably more of this 3D cartoony cel shadey stuff. When I get burned out on that, I plan to go back to my gravity project. I think I found a way to turn it into an actual game.


My name is John James.
I am 20 years old.
I study Business Information Systems in University College Cork
My Address is D******** B**, G****, D****
My Phone Number is : 087 *** ****
My Email is<EMAIL_ADDRESS>I have an ECDL Licence
I am able to Drive a car, tractor, quad or other heavy machinery
I do traditional Naomh Og rowing with a club in Dingle
I farm cattle and sheep.
I box with the UCC boxing club
I play multiple instruments, such as the Guitar, Bosca Ceoil, Feadog Stan and Drums
I enjoy exercising and going to the gym


Source code for environment
"""
The environment with static polygonal obstacles
"""
import numpy as np
import matplotlib.pyplot as plt
from scipy.spatial import KDTree
from obstacle import Obstacle
[docs]class StaticEnvironment:
"""
Class implementing a very simple bounded 2D world, containing polygonal
obstacles stored in an appropriate data structure for rapid access to close
obstacles, even with a large amount of them.
Attributes
----------
dimensions : tuple
(dim_x, dim_y) The x and y dimension of the rectangular world.
obstacles : list
List of obstacles, instances of the obstacle class.
kdtree : KDTree
The binary search tree used to have a rapid access to the obstacles,
even with a large amount of them.
Methods
-------
plot
Draws the environnement using matplotlib.
is_free
Returns False if a point is within an obstacle or outside of the
boundaries of the environnement.
"""
def __init__(self, dimensions, nb_obstacles):
self.dimensions = dimensions
self.obstacles = [Obstacle(dimensions, 0.05*dimensions[0], 5)\
for _ in range(nb_obstacles)]
self.kdtree = KDTree([obs.center for obs in self.obstacles])
[docs] def plot(self, close=False):
"""
Creates a figure and plots the environement on it.
Parameters
----------
close : bool
If the plot needs to be automaticaly closed after the drawing.
"""
for obstacle in self.obstacles:
obstacle.plot()
plt.gca().set_xlim(0, self.dimensions[0])
plt.gca().set_ylim(0, self.dimensions[1])
if close:
plt.close()
[docs] def is_free(self, x, y, time=0):
"""
Returns False if a point is within an obstacle or outside of the
boundaries of the environnement.
"""
if x < 0 or x > self.dimensions[0]\
or y < 0 or y > self.dimensions[1]:
return False
for obstacle in self.close_obstacles(x, y, nb_obstacles=5):
if obstacle.colides(x, y):
return False
return True
[docs] def close_obstacles(self, x, y, nb_obstacles=1):
"""
Returns the list of all the obstacles close enough to be considered.
Parameters
----------
x : float
The x coordinate of the point requested
y : float
The y coordinate of the point requested
nb_obstacles : int
The number of obstacles to return, has to be less than the total
number of obstacles of the environment.
Note
----
To be sure that this step actually does not remove any obstacle which
could yield to a collision, the relation between the size of the
obstacles and the considered radius for search must be verified:
R_search > R_obs_Max
With R_obs_Max the maximum distance between the center of an obstacle
and one of its vertices.
"""
return [self.obstacles[index]\
for index in self.kdtree.query((x, y), nb_obstacles)[1]]
[docs] def random_free_space(self):
"""
Returns a randomly selected point in the free space.
"""
x = np.random.rand()*self.dimensions[0]
y = np.random.rand()*self.dimensions[1]
while not self.is_free(x, y):
x = np.random.rand()*self.dimensions[0]
y = np.random.rand()*self.dimensions[1]
return x, y, np.random.rand()*np.pi*2


General discussion about Komodo. For useful links and more info click the pinned messages to the right. DON'T DM @jl777
Between 23-Dec-19 12:00 AM and 24-Dec-19 12:00 AM
Regnar23-Dec-19 04:15 AM
@androkles devs and admin here won't PM you asking for anything, please make sure you report them to admin here. Sometimes people imitate us and look legit, do NOT send money, ever!
Also obviously don't download anything they send you either
androkles23-Dec-19 06:14 AM
Thank you for the response. If he is the dev in this project I appreciate the info about his involvement of another project.
Regnar23-Dec-19 06:24 AM
@androkles this includes anyone sending you a PM with a github link or something to download "the newest wallet" or something. Always verify PMs in the official channels, I'd hate for something bad to happen
androkles23-Dec-19 06:37 AM
Yes, thank you for notifying. But can you confirm that Aamodt is developer here?
gcharang23-Dec-19 07:10 AM
@androkles I am not familiar with that name
he could be contracted to work as a free lancer for a project related to Komodo
if you can share his github profile or any other online info, you might get an answer
androkles23-Dec-19 07:28 AM
Unfortunately I only know pseudonym "Aamodt".
Antony23-Dec-19 11:50 AM
Hello, I'm Antony from SwapSpace project. With whom can I discuss a possible collaboration? Thanks.
Oszy23-Dec-19 11:54 AM
<EMAIL_ADDRESS>or @Audo
Antony23-Dec-19 12:05 PM
Thank you!
coinmonks || CoinCodeCap23-Dec-19 02:41 PM
anyone building something cool crypto product on top of Komodo?
Jeffrey23-Dec-19 06:41 PM
@Team Admin there is another scammer here pretending to be support. Username is @RaskuI
mrlynch23-Dec-19 06:43 PM
please give us the ID
enable developer mode in your settings, right click on the scammer -> copy ID
Jeffrey23-Dec-19 06:46 PM
Gotcha
654825598572691476
@mrlynch
mrlynch23-Dec-19 06:48 PM
thanks
mind if you DM me a screenshot of the spam message?(edited)
Jeffrey23-Dec-19 06:49 PM
Gotcha
We banned him in PIVX already
𝙊𝙞𝙣𝙠23-Dec-19 06:49 PM
He's in Verus Discord too. If he indeeds pretend to be support, please notify MikeTout too
Jeffrey23-Dec-19 06:50 PM
Yep I’m notifying all discord’s I’m in
He has multiple accounts as well
He has been asking users for their wallet.dat
mrlynch23-Dec-19 06:50 PM
-ban<PHONE_NUMBER>72691476 dm spam asking for wallet.dat


A Problem that is facing the tech world is the same issue that it has faced from the rise of the digital information age...The technology does not always work.
When we wake up and get out or bed and sometimes before we even get out of bed, some of us pull out our phones and check what ever it is that we check that day. Its okay we all do it.
When some of us wake up and get out of bed the first thing we do before we even get out of bed is check out phones! Myself included, but why do we do that? Is it because we just want to know what's going on in our social media words? Or is it that we have become so depended on our technology and how everything is at our fingertips? Lets just say (and I hope this does not happen to anyone!) your phone didn't work or your laptop or tablet! What would we do?
The biggest issue with technology is that it has the real issue of not working or failing. If we take a second to think of all the systems that are run by technology and how if something were to happen what would the consequences be. This is what happened to American Airlines recently when they were ground all flights.
We as a society have become depended on technology to the point that if something was to happen that most if not all of our systems would be crippled. The question I always ask myself is how do we get around this, what are some ways to solve the issue of our dependence on technology. Some solutions that I found to this would be of course try to limit our interaction with technology. For some of us, that may not be a issue but for most of us its going to be a lot harder. What if we found a way to make our technology more secure and dependable so that we don't always have to worry about.


|
|
OBJECTIVE
Seeking an internship position where I can apply my software
development skills in a project that helps make an impact on business and
society.
EDUCATION
Major: Computer Science GPA
3.8/3.65 (major/overall)
Minor: Business Administration.
EXPERIENCE
University of Texas-Pan American,
Computer Science
·
Assist students with technical questions on assignments dealing with C++
and Java.
·
Provide resources to CS students for academic and interpersonal
development.
·
Aid in the organization of conferences, presenting relevant material for
CS students.
IBM
Corporation,
On Demand Reference Information Speed Team Co-op
·
Designed and developed web application following the Apache Struts
framework.
·
Developed CMVC interface for application, which automated defect creation
process.
·
Reduced time and human interaction needed in creation of quality
reference information.
·
Involved in all aspects of software development process using RUP
methodologies.
IBM
Corporation,
Object Query Development Co-op Pre-professional
programmer
·
Automated installation process for Query.ear application on WAS servers
managed by WAS ND.
·
Integrated the EJB Mediator into an existing Web Application,
maintaining same functionality.
·
Created diverse environments for remote/local testing of application
deployment on servers.
IBM Corporation,
DB2 Information Integrator Co-op Pre-professional
programmer
·
Analyzed, designed and implemented solutions for defects created against
SQL test cases.
·
Responsible for condition of outer join bucket to remote datasources.
·
Setup test environment in AIX and Win for DB2, Oracle, Informix, and
Sybase.
·
Assisted team in various tasks for implementation of test case
resolution.
SKILLS
·
Platforms: Linux, AIX,
Win 2000/XP/9x, MS-DOS
·
Languages: Java, C++, SQL, Perl, HTML, SGML
· Development: Eclipse, Rational Web Developer, Websphere Studio AD, WAS, WAS ND, Tomcat,
Tools DB2 UDB, CMVC, CVS, MS Visual C++, Xemacs,
Macromedia Dreamweaver
· CS courses: Design & Analysis of Algorithms, DB
Design & Implementation, Computer Networks
INTERESTS
·
Organizations: President for ACM (Fall 05 – Spring 06), Golden Key Honor
Society, SIFE.
·
Software development process, web services and state of art database
technology applications.
·
Tennis, soccer, horseback riding, world cultures, languages,
international relations & cinema.
PROJECTS
·
Webmaster for
·
Managed, designed and created first digital yearbook in High School.
o
Assigned and kept track of tasks for the different groups.
o
Designed professional looking layout and images used throughout the
yearbook.
AWARDS
·
Student of the Week “The Monitor newspaper” Sep 2005
·
Who’s who among students in
·
IBM Certified Associate Developer: Developing Web Apps with WSAD
·
Dean’s list – second (Fall/02, Fall/04, Spring/05, Fall/05), Dean’s list
– first (Spring/04).


Edo Province 3
Our believe
It is accurate, authoritative and applicable to our everyday lives. We believe in one eternal God who is the Creator of all things.  He is totally loving and completely holy...
Our people
As members of Christ’s body, we are all inter-connected and dependent upon one another. We are committed to fostering a safe community where we share life, exercise our spiritual gifts, and build up one another in love. (John 17:20-21; Romans 12:4-8; Ephesians 4:15).
Our mission
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Stigmata * 1/2 (out of * * * * )
Directed by Rupert Wainwright.  Reviewed September 11, 1999.
Not knowing any better, I would have guessed that "Stigmata," the new religious-themed possession tale, is just a fancy name for "Exorcist IV," and I may be right. Let's look at the evidence: a young woman possessed; a priest struggling with his own beliefs and feelings; mysteriously-inflicted slash marks; a climactic possession sequence; and pea soup. Well, okay, pea soup maybe be an exaggeration, but it might as well have been included, for, as directed by Rupert Wainwright, the film's only major differences to the classic 1973 horror film, "The Exorcist," are a quick-cut style for those whose attention span has been depleted by MTV, and a disappointing lack of any believable human story. On second thought, perhaps "Stigmata" is actually "Beyond the Door IV," in disguise.
In a prologue set in a dusty, Catholic region of Brazil, an American woman purchases a rosary that once belonged to Father Paulo Alameida (Jack Donner), who is now lying in a coffin in a nearby church, the statue of Mary beside him bleeding human blood from its eyes. Switch to the city of Pittsburgh, 23-year-old Frankie Paige (Patricia Arquette), a talented beautician who, at night, likes to go club (and man)-hopping with her best friend (Nia Long), receives a gift from her mother that has arrived at her front door. Among the small presents is the rosary she bought in Brazil, and soon after, Frankie is attacked in her bath tub by an unknown force that causes her wrists to bleed straight through, as if large pegs had been nailed into her.  Before long, she also is tortured with slash marks across her body while on an out-of-control subway cart, thorn cuts on her face, and occasionally is being possessed and forced to recite the Aramaic language, which hasn't been used in thousands of years. Enter Father Andrew Kiernan (Gabriel Byrne), a part priest/part scientist from the Vatican, who travels to Pittsburgh to try and help Frankie. His guess is that she has the curse of the stigmata, the inflicted wounds of christ, and since she has had four of the five major wounds, she is in grave danger of dying if it occurs again. There's just one catch: Stigmatics are always highly religious individuals, while Frankie is an atheist who is quickly starting to believe in otherwordly forces.
"Stigmata" is a relentless and thoroughly unpleasant horror film that is so fast-paced and stylized, with loud alternative music and quick cuts popping up at every chance it gets, that the whole experience of watching it gradually became an ordeal. In one scene after the next, we watch Frankie being graphically mutilated by something we cannot see, and while it sometimes is powerful and unsettling, that mostly results from all of the bloodletting. In between, there are painfully few exposition scenes in which we get to know the characters because, every time some dialogue enters in, Frankie abruptly is pierced through her feet or various other body parts. A major flaw this is, because in order to care about this woman who is in a dire situation in which any moment could be her last, we have to be able to sympathize with her plight. According to screenwriters Tom Lazarus and Rick Ramage, their idea of satisfying character development is showing Frankie smoking and drinking at clubs, and then bringing men home with her. Patricia Arquette, who, at 31, admittedly looks a little long in the tooth to be playing a 23-year-old, tries her best in an unlikable role that helps none in displaying her considerable, but usually wasted, acting chops.
Gabriel Byrne fares better, as a priest who is dedicated to his profession, but not enough to turn away from a romantic subplot that forms between Frankie and himself. And why the heck not? Byrne may very well be one of the better-looking priest characters in any movie I've seen (certainly more so than the various Fathers in "The Exorcist"), and aside from this casting flaw, he really is a strong presence in his more challenging moments on-screen.
At times, the repititious violence that fills the screen throughout grows overly tedious (I mean, how many near-fatal wounds can a normal person get without dying?), and the supporting characters may have helped break up the grisliness of the proceedings. They, too, are severely wasted, particularly Nia Long (a fine actress in her own right), who is stuck playing the "concerned friend" character. Unlike most, though, the film doesn't even follow through with her, as she disappears midway through and is never seen again.
As "Stigmata" plays out its bag of tricks, continuously growing more and more ludicrous with each passing moment until it completely collapses in its fire-and-brimstone climactic exorcism, one is led to wonder exactly how anyone would like the film. The story developments and character interactions are especially unrewarding, particularly the ending, which is supposed to be a greatly touching moment, but only comes off as cornball. The film ultimately leaves a bitter taste in your mouth, mostly from its lack of emotion, and comes off feeling overblown rather than the least bit scary. I think I've changed my mind about "Stigmata" being the third sequel in the famous possession series; on second thought, it's more akin to "Exorcist II: The Heretic."
- Copyright 1999 by Dustin Putman NZone Magazine
The review above was posted to the
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Lazy loading images
HTML
The solution is using loading="lazy"
as an attribute on the image.
But it's a hybrid solution for the browser how don't support this attribute.
So the src
of the image is replaced by data-src
A class (not modifiable) is also used by the JS fallback solution.
HTML required
<img data-src="unicorn.jpg" loading="lazy" alt=".." class="lazyload"/>
CSS required
None


Juliet Ibrahim reveals 2020 is the year of not doing anything for free
Ghanaian actress and fashion entrepreneur, Juliet Ibrahim, has taken to her social media page to make public an early New Year's resolution for the year 2020.
As the year 2019 draws near to an end, many people have begun the mental note to drop certain habits and basically aspire to be and to do better in the coming year.
One of such people is the Ghanaian actress whose resolution left many people stunned. Sharing a cute photo of herself chilling with a glass of cocktail, she wrote: “2020 is the year of not doing anything for free; not even masturbation."
 Contact Legit.ng instantly
Still on screen divas, Nigerian actress and social media drama queen, Tonto Dikeh, left social media buzzing after she revealed the conditions under which she'll get married again.
I am only available for enjoyment for the rest of the year - Actress Mercy Aigbe says
The actress had earlier taken to her Instagram page to make a post about the things she was thankful for and how her past mistakes has shaped her into the woman that she is today.
She wrote the message as she shared a stunning photo of herself. However, it appeared a follower was not impressed by this and advised her to get married.
PAY ATTENTION: Get the hottest gist on Africa Love Aid
Meanwhile, 2019 BBNaija reality star, Diane Yashim, popularly known as Diana Russet, has taken to the social media platform to announce her endorsement deal with a top Nigerian travel agency.
The Pepper Dem ex-housemate just like her fellow ex-housemates is doing her best to secure all the bags before the year 2019 comes to an end.
The Kaduna born reality star recently left her fans and followers excited after she took to her Instagram page to share the good news of her recent endorsement deal with a Nigerian travel agency known as Sky With Us Travels.
Nigerians react to Davido’s new album A Good Time on social media
2019: What’s your New Year resolution? | Legit TV


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iSensor-SPI-Buffer
1.15
Firmware for the iSensor-SPI-Buffer board to enable full throughput buffered data capture on Analog Devices IMUs
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Header file for iSensor-SPI-Buffer ADC module (for temp sensor and Vdd monitoring) More...
#include <stdint.h>
Go to the source code of this file.
Macros | |
| #define | TS_CAL1 ((uint16_t*) ((uint32_t) 0x1FFFF7B8)) |
| #define | TS_CAL2 ((uint16_t*) ((uint32_t) 0x1FFFF7C2)) |
| #define | VREFINT_CAL ((uint16_t*) ((uint32_t) 0x1FFFF7BA)) |
| #define | ADC_VDD_START 0 |
| #define | ADC_VDD_READ 1 |
| #define | ADC_TEMP_START 2 |
| #define | ADC_TEMP_READ 3 |
Header file for iSensor-SPI-Buffer ADC module (for temp sensor and Vdd monitoring)
Copyright (c) Analog Devices Inc, 2020 All Rights Reserved.
| #define ADC_TEMP_READ 3 |
Wait for temp measurement EoC state
| #define ADC_TEMP_START 2 |
Temp sensor start measurement state
| #define ADC_VDD_READ 1 |
Wait for VDD measurement EoC state
| #define ADC_VDD_START 0 |
VDD start measurement state
| #define TS_CAL1 ((uint16_t*) ((uint32_t) 0x1FFFF7B8)) |
Temp sensor value at 30C (for two point calibration)
| #define TS_CAL2 ((uint16_t*) ((uint32_t) 0x1FFFF7C2)) |
Temp sensor value at 110 C (for two point calibration)
| #define VREFINT_CAL ((uint16_t*) ((uint32_t) 0x1FFFF7BA)) |
VREFINT calibration value


http://www.susangranger.com/
Susan Granger's review of "WHO KILLED ATLANTA'S CHILDREN?" (Showtime TV - Sunday, July 16, and Wed., July 19, at 8 P.M. )
"It's not quite justice, but it's a start..." notes James Belushi at the conclusion of this powerful, provocative exploration of the conspiracy and cover-up that diverted the search for the truth in the Atlanta child murders of 1979-1981. Belushi and Gregory Hines play two Spin magazine journalists who went to Atlanta in pursuit of answers to a case that had left frustrated mothers, haunted by grief. "There's something hanging over this town," Hines says. "I can feel it." While Wayne Williams was convicted of some of the slayings, it was obvious that he was not the primary culprit and parents of the slain African-American children were critical of the way the case was abruptly closed. Integral to the reporters' investigation are tips from an Atlanta police officer about the incompetence of 14 different law enforcement agencies, including the Georgia Bureau of Investigation and the FBI. That leads them to uncover the secret investigation Task Force which developed evidence from reliable informants that members of a Ku Klux Klan "Death Squad" were involved as part of a child prostitution ring. Meanwhile, both men - husbands and fathers - are concerned that their own families may be in danger, particularly when they're run off the road in a terrifying encounter with angry locals one night. On the Granger Made-for-TV Movie Gauge of 1 to 10, "Who Killed Atlanta's Children?" is a sad, controversial 7. Writer/director Charles Robert Carner reveals that this secret investigation actually occurred but that some names and some details have been changed. Wayne Williams' appeal case is currently going through the legal process before the Georgia courts.
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


Object
# File lib/trello/net.rb, line 24 24: def execute_core(request) 25: require "rest_client" 26: 27: RestClient::Request.execute( 28: :method => request.verb, 29: :url => request.uri.to_s, 30: :headers => request.headers, 31: :payload => request.body, 32: :timeout => 10 33: ) 34: end
Disabled; run with --debug to generate this.
Generated with the Darkfish Rdoc Generator 1.1.6.


Jonas Laid's TOC
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