Lab 4: Counting Words
Announcements
Office hours 1-2pm on Wednesday and Thursday. For the quarter you can take two 24-hour extensions.
Counting Words
In this lab we will produce a sorted word count from input text. The input will be a text stream as in the rot13
program and you will output a list of words with their associated counts such that the words are sorted (String
is in typeclass Ord
and so that ordering is acceptable) and all in lower-case. E.g. the text
A parser for things
Is a function from strings
To lists of pairs
Of things and strings
should output:
a 2
and 1
for 1
from 1
function 1
is 1
lists 1
of 2
pairs 1
parser 1
strings 2
things 2
to 1
Implement this as a program with the exact name WordCount.hs
such that it can be run as ./WordCount
like the rot13 program. It should be in your lab4/
directory of your laboratory repository. A word is defined as a contiguous sequence of letters with the characters '\''
and '-'
. Note that '\'':[] == "'"
.
Collecting Permutations
Some words are permutations of each other: e.g. ["outs", "oust"]
or ["portions", "positron"]
. Write a second program which outputs the permutations in sorted order for those words which have multiple permutations, e.g. ignore words that appear once, or only appear as one permutation. E.g. given text
On the Outer Pyre steps the three purest usurpers swore to their vile
pursuers they were no prey. The route was worse from the original form they
expected there as the live volcano nearby often erupts.
the program should output
erupts, purest
form, from
live, vile
no, on
outer, route
prey, pyre
pursuers, usurpers
swore, worse
there, three
The words on a single line should be sorted as well as the lines themselves in the text output. Use the definition of a word given above. This program should be implemented with the exact name CollectPermutations.hs
in your lab4/
folder of your subversion repository. It should take in text just like the rot13
program.
To perform the sort you will likely want to use the Ord
typeclass
instance Ord .... where
... <= ... = ...
To hand in
Your lab4/
directory should have CollectPermutations.hs
and WordCount.hs
, each of which can be compiled to take in text input and output the desired text.
Extra Credit
Two extra credit assignments:
- Use a trie as the internal datastructure for the word counts
Write a program
WordSegmenter.hs
that uses/usr/share/dict/words
to segment input text: e.g. the inputecho “Itisappropriatetostartthestudyofmathematicallogicbyinquiringwhatmathematicallogicis” | ./WordSegmenter
should output:
It is appropriate to start the study of mathematical logic by inquiring what
mathematical logic is
You can start second extra credit program with a file
import System.IO
import WordSegmenterLib
main = do
handle <- openFile "/usr/share/dict/words" ReadMode
contents <- hGetContents handle
hClose handle
and you’ll need to add in logic to take input as well as implement a file WordSegmenterLib.hs
which will contain the module WordSegmenterLib
that contains your segmentation logic.


*** User 2017-05-05 20:08:03.939 ***
20:08:03.939 [info] Disabling blocking sync...
*** User 2017-05-05 20:08:03.944 ***
20:08:03.944 [info] Configured peer_service_manager partisan_default_peer_service_manager on node 'node-1@MacBook-Pro-de-Anne-France'
*** User 2017-05-05 20:08:05.447 ***
20:08:05.447 [info] Enabling membership...
*** User 2017-05-05 20:08:05.448 ***
20:08:05.448 [info] Disabling blocking sync...
*** User 2017-05-05 20:08:05.453 ***
20:08:05.453 [info] Configured peer_service_manager partisan_default_peer_service_manager on node 'node-2@MacBook-Pro-de-Anne-France'
*** User 2017-05-05 20:08:06.950 ***
20:08:06.950 [info] Enabling membership...
*** User 2017-05-05 20:08:06.952 ***
20:08:06.952 [info] Disabling blocking sync...
*** User 2017-05-05 20:08:06.957 ***
20:08:06.957 [info] Configured peer_service_manager partisan_default_peer_service_manager on node 'node-3@MacBook-Pro-de-Anne-France'
*** User 2017-05-05 20:08:07.195 ***
Joining node: 'node-3@MacBook-Pro-de-Anne-France' to 'runner@MacBook-Pro-de-Anne-France' at port 57070
*** User 2017-05-05 20:08:07.195 ***
Joining issued: 'node-3@MacBook-Pro-de-Anne-France' to 'runner@MacBook-Pro-de-Anne-France' at port 57070
*** User 2017-05-05 20:08:07.195 ***
Joining node: 'node-2@MacBook-Pro-de-Anne-France' to 'runner@MacBook-Pro-de-Anne-France' at port 57053
*** User 2017-05-05 20:08:07.196 ***
Joining issued: 'node-2@MacBook-Pro-de-Anne-France' to 'runner@MacBook-Pro-de-Anne-France' at port 57053
*** User 2017-05-05 20:08:07.196 ***
Joining node: 'node-1@MacBook-Pro-de-Anne-France' to 'runner@MacBook-Pro-de-Anne-France' at port 57040
*** User 2017-05-05 20:08:07.197 ***
Joining issued: 'node-1@MacBook-Pro-de-Anne-France' to 'runner@MacBook-Pro-de-Anne-France' at port 57040
*** User 2017-05-05 20:08:07.258 ***
Waiting for join to complete with manager: partisan_default_peer_service_manager
*** User 2017-05-05 20:08:07.259 ***
Finished.
*** CT 2017-05-05 20:08:07.260 *** COVER INFO
Adding nodes to cover test: ['runner@MacBook-Pro-de-Anne-France']
*** CT 2017-05-05 20:08:07.269 *** COVER INFO
Successfully added nodes to cover test: []
*** User 2017-05-05 20:08:07.303 ***
Tokens: [{select,1,select},
{var,1,title},
{',',1},
{var,1,rating},
{from,1,from},
{var,1,classics},
{where,1,where},
{var,1,year},
{comparator,1,'=>'},
{integer,1,1960},
{intersection,1,'and'},
{var,1,year},
{comparator,1,'<='},
{integer,1,1965}]
*** User 2017-05-05 20:08:07.303 ***
Parse Tree: {query,
{select,[title,rating]},
{from,classics},
{where,
{intersection,
{predicate,{var,year},'=>',1960},
{predicate,{var,year},'<=',1965}}}}
*** User 2017-05-05 20:08:07.406 ***
Tokens: [{select,1,select},
{var,1,title},
{from,1,from},
{var,1,filtered},
{where,1,where},
{var,1,rating},
{comparator,1,'=>'},
{integer,1,80}]
*** User 2017-05-05 20:08:07.406 ***
Parse Tree: {query,{select,[title]},
{from,filtered},
{where,{predicate,{var,rating},'=>',80}}}
*** User 2017-05-05 20:08:07.509 ***
Case finished: sql_combined_view_test
*** User 2017-05-05 20:08:14.560 ***
20:08:14.560 [info] Application lasp exited with reason: stopped
*** User 2017-05-05 20:08:14.561 ***
20:08:14.560 [info] Application partisan exited with reason: stopped
=== Ended at 2017-05-05 20:08:14
=== successfully completed test case
=== Returned value: ok
Test run history
| Top level test index


<form-builder>
A web component for building form using Drag'n'Drop.
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Gecode::Set::BndSet Class Reference
Sets of integers. More...
#include <var-imp.hpp>
Public Member Functions | |
| bool | isConsistent (void) const |
| Check whether internal invariants hold. | |
Static Public Attributes | |
| static const int | MAX_OF_EMPTY = Limits::min-1 |
| Returned by empty sets when asked for their maximum element. | |
| static const int | MIN_OF_EMPTY = Limits::max+1 |
| Returned by empty sets when asked for their minimum element. | |
Protected Member Functions | |
| void | fst (RangeList *r) |
| Set first range to r. | |
| void | lst (RangeList *r) |
| Set last range to r. | |
| RangeList * | fst (void) const |
| Return first range. | |
| RangeList * | lst (void) const |
| Return last range. | |
| template<class I > | |
| bool | overwrite (Space &home, I &i) |
| Overwrite the ranges with those represented by i. | |
Protected Attributes | |
| unsigned int | _size |
| The size of this set. | |
| unsigned int | _card |
| The cardinality this set represents. | |
Constructors and initialization | |
|
| |
| BndSet (void) | |
| Default constructor. Creates an empty set. | |
| BndSet (Space &home, int i, int j) | |
| Initialize as the set . | |
| BndSet (Space &home, const IntSet &s) | |
| Initialize as the set represented by s. | |
Memory management | |
|
| |
| void | dispose (Space &home) |
| Free memory used by this set. | |
Value access | |
|
| |
| int | min (void) const |
| Return smallest element. | |
| int | max (void) const |
| Return greatest element. | |
| int | minN (unsigned int n) const |
| Return n -th smallest element. | |
| unsigned int | size (void) const |
| Return size. | |
| unsigned int | card (void) const |
| Return cardinality. | |
| void | card (unsigned int c) |
| Set cardinality. | |
Tests | |
|
| |
| bool | empty (void) const |
| Test whether this set is empty. | |
| bool | in (int i) const |
| Test whether i is an element of this set. | |
Update operations | |
|
| |
| void | become (Space &home, const BndSet &s) |
| Make this set equal to s. | |
Range list access for iteration | |
|
| |
| RangeList * | ranges (void) const |
| Return range list for iteration. | |
Cloning | |
|
| |
| void | update (Space &home, BndSet &x) |
| Update this set to be a clone of set x. |
Detailed Description
Sets of integers.
Definition at line 89 of file var-imp.hpp.
Constructor & Destructor Documentation
| Gecode::Set::BndSet::BndSet | ( | void | ) | [inline] |
Default constructor. Creates an empty set.
Definition at line 46 of file integerset.hpp.
| Gecode::Set::BndSet::BndSet | ( | Space & | home, | |
| int | i, | |||
| int | j | |||
| ) | [inline] |
Initialize as the set .
Definition at line 76 of file integerset.hpp.
Initialize as the set represented by s.
Definition at line 40 of file integerset.cpp.
Member Function Documentation
| void Gecode::Set::BndSet::fst | ( | RangeList * | r | ) | [inline, protected] |
Set first range to r.
Definition at line 66 of file integerset.hpp.
| void Gecode::Set::BndSet::lst | ( | RangeList * | r | ) | [inline, protected] |
Set last range to r.
Definition at line 71 of file integerset.hpp.
| RangeList * Gecode::Set::BndSet::fst | ( | void | ) | const [inline, protected] |
Return first range.
Definition at line 50 of file integerset.hpp.
| RangeList * Gecode::Set::BndSet::lst | ( | void | ) | const [inline, protected] |
Return last range.
Definition at line 55 of file integerset.hpp.
| void Gecode::Set::BndSet::dispose | ( | Space & | home | ) | [inline] |
Free memory used by this set.
Definition at line 60 of file integerset.hpp.
| int Gecode::Set::BndSet::min | ( | void | ) | const [inline] |
Return smallest element.
Definition at line 103 of file integerset.hpp.
| int Gecode::Set::BndSet::max | ( | void | ) | const [inline] |
Return greatest element.
Definition at line 111 of file integerset.hpp.
| int Gecode::Set::BndSet::minN | ( | unsigned int | n | ) | const [inline] |
Return n -th smallest element.
Definition at line 120 of file integerset.hpp.
| unsigned int Gecode::Set::BndSet::size | ( | void | ) | const [inline] |
Return size.
Definition at line 93 of file integerset.hpp.
| unsigned int Gecode::Set::BndSet::card | ( | void | ) | const [inline] |
Return cardinality.
Definition at line 130 of file integerset.hpp.
| void Gecode::Set::BndSet::card | ( | unsigned int | c | ) | [inline] |
Set cardinality.
Definition at line 135 of file integerset.hpp.
| bool Gecode::Set::BndSet::empty | ( | void | ) | const [inline] |
Test whether this set is empty.
Definition at line 98 of file integerset.hpp.
| bool Gecode::Set::BndSet::in | ( | int | i | ) | const [inline] |
Test whether i is an element of this set.
Definition at line 224 of file integerset.hpp.
Make this set equal to s.
Definition at line 211 of file integerset.hpp.
| RangeList * Gecode::Set::BndSet::ranges | ( | void | ) | const [inline] |
Return range list for iteration.
Definition at line 88 of file integerset.hpp.
| bool Gecode::Set::BndSet::overwrite | ( | Space & | home, | |
| I & | i | |||
| ) | [inline, protected] |
Overwrite the ranges with those represented by i.
Definition at line 171 of file integerset.hpp.
Update this set to be a clone of set x.
Definition at line 140 of file integerset.hpp.
| bool Gecode::Set::BndSet::isConsistent | ( | void | ) | const |
Check whether internal invariants hold.
Definition at line 289 of file integerset.cpp.
Member Data Documentation
unsigned int Gecode::Set::BndSet::_size [protected] |
The size of this set.
Definition at line 95 of file var-imp.hpp.
unsigned int Gecode::Set::BndSet::_card [protected] |
The cardinality this set represents.
Definition at line 97 of file var-imp.hpp.
const int Gecode::Set::BndSet::MAX_OF_EMPTY = Limits::min-1 [static] |
Returned by empty sets when asked for their maximum element.
Definition at line 110 of file var-imp.hpp.
const int Gecode::Set::BndSet::MIN_OF_EMPTY = Limits::max+1 [static] |
Returned by empty sets when asked for their minimum element.
Definition at line 112 of file var-imp.hpp.
The documentation for this class was generated from the following files:
- gecode/set/var-imp.hpp
- gecode/set/var-imp/integerset.cpp
- gecode/set/var-imp/integerset.hpp


Counterparts to R string manipulation functions that account for the effects of ANSI text formatting control sequences.
| Version: | 0.4.0 |
| Depends: | R (≥ 3.1.0) |
| Suggests: | unitizer, knitr, rmarkdown |
| Published: | 2018-10-05 |
| Author: | Brodie Gaslam [aut, cre], Elliott Sales De Andrade [ctb], R Core Team [cph] (UTF8 byte length calcs from src/util.c) |
| Maintainer: | Brodie Gaslam <brodie.gaslam at yahoo.com> |
| BugReports: | https://github.com/brodieG/fansi/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/brodieG/fansi |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | fansi results |
| Reference manual: | fansi.pdf |
| Vignettes: |
ANSI CSI SGR Sequences in Rmarkdown |
| Package source: | fansi_0.4.0.tar.gz |
| Windows binaries: | r-devel: fansi_0.4.0.zip, r-release: fansi_0.4.0.zip, r-oldrel: fansi_0.4.0.zip |
| OS X binaries: | r-release: fansi_0.4.0.tgz, r-oldrel: fansi_0.4.0.tgz |
| Old sources: | fansi archive |
| Reverse imports: | cliapp, pillar, pkgdown |
| Reverse suggests: | cli |
Please use the canonical form https://CRAN.R-project.org/package=fansi to link to this page.


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{{showPassword ? 'visibility' : 'visibility_off'}}
required
minimum length is 8 characters
maximum length is 256 characters
passwords don't match
{{showPassword ? 'visibility' : 'visibility_off'}}
required
minimum length is 8 characters
maximum length is 256 characters


New technologies are radically advancing our freedoms, but they are also enabling unparalleled invasions of privacy. National and international laws have yet to catch up with the evolving need for privacy that comes with new digital technologies. Respect for individuals' autonomy, anonymous speech, and the right to free association must be balanced against legitimate concerns like law enforcement.
This project aim to provide accessible, up-to-date information about the different laws and norms available. Academia, civil society groups, students and policy-makers with varying levels of familiarity with data protection and privacy-related themes should be able to easily navigate the content, as well as use it for educational and policy development purposes.
In addition, it seeks to address the lack of systematized information on data protection initiatives and regulation by promoting a comprehensive approach to these developments.


Xabi Alonso identifies Liverpool FC star’s ‘greatest asset’
Liverpool FC legend Xabi Alonso is a big fan of Brazilian midfielder Fabinho
by Transfer AgentXabi Alonso says Liverpool FC midfielder Fabinho’s greatest asset is his anticipation.
The Brazil international was named man of the match in Liverpool FC’s 3-1 victory over defending champions Manchester City at Anfield earlier this month.
Fabinho broke the deadlock in the first half with a brilliant long-range strike before he shielded the Liverpool FC defence expertly to help the home side claim three points.
The South American star has established himself as a key player in the Liverpool FC team over the past 12 months after he initially was used sparingly following his move to Anfield.
The Reds signed Fabinho in a £40m deal from Ligue 1 side AS Monaco after the 25-year-old was previously linked with a move to Liverpool FC’s rivals Manchester United.
Former Liverpool FC midfielder Alondo picked out aspects of Fabinho’s game that he really admires.
“He is connected to the game, always. His anticipation is his greatest asset,” Alonso told The Athletic, as quoted by Metro.
“Sometimes you only have to take one or two steps to change the movements of your team-mates and that can determine the whole outcome of the game without anyone really realising because spectators tend to follow the ball rather than the player.
“He’s not reacting one second later, he’s anticipating what is going to happen one second before.”
Fabinho has scored two goals in 58 games in all competitions since his move to Liverpool FC over 18 months ago.
The Brazil midfielder was part of the Reds team that won the Champions League title last season thanks to a 2-0 win against Tottenham Hotspur in the final.
Fabinho has previously played for Real Madrid and AS Monaco before his big-money switch to the Anfield outfit.
Liverpool FC will take on Crystal Palace at Selhurst Park on Saturday.


You have everything ready: the food, the enue, the celebrant, the shoes,, name it all. You are ready to make the relationship official, infront of your chosen witnesses. Then Boooom! Your intended is your cousin. Or worse, your separated at birth sibiling!
Avoid shock on the day you have prepared to smile. Run a simple, fast ackground check and see if she or he is
With updated data from the National Information Registration AUthority and all recognised tribes and communities, ran a check that will save your cheque!


>>
<<
Usr
Pri
JfC
LJ
Phr
Dic
Rel
Voc
!:
Help
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J Server and Telnet (jserver and jtelnet) classes
The jserver class allows you to create and manage a separate J task as a server. jserver.ijs (open 'jserver') defines a jserver class that uses the J Engine Protocol to create and manage a J Engine server. It starts a new J task, either on the local machine or a remote machine, and controls that task with the J Engine Protocol.You can take advantage of multiple processors on the same host, remote hosts, and build applications where the interactive GUI runs in one JE and the data processing is done in others as appropriate. For example:
require'jserver'
js=: conew'jserver' NB. create new jserver object
local__js'' NB. create J server task
run__js'abc=: i.2 3 4' NB. run sentence in server task
d=: get__js'abc' NB. get value from J server task
destroy__js'' NB. destroy object and free resources
The jserver class also supports J server tasks running on on other machines. It uses jtelent to start the J server on the remote machine. If you had J installed on another machine that was accessible to you from telnet you could start and use a J server on that remote machine. For example, if your other machine is called Frodo and you have a user id of Bilbo and a password of Baggins, you could try the following:
require'jserver'
js=.conew'jserver'
NB. start J server on remote machine
remote__js'Frodo Bilbo Baggins 0'
NB. run sentence on remote server
run__js'abc=:i.2 3 4'
destroy__js''
remote__js connects with jtelnet to the remote system and runs jepstart with the required parameters. The remote machine must have a jepstart that starts jep with the parameters. For example, on the remote system in a bin directory define a shell script called jepstart:
#!/bin/sh
cd ~/j601
./jep $*
You could use Frodo's IP address (e.g. <IP_ADDRESS>) instead of the name.
The remote jserver uses jtelnet, a simple and naive implementation of the telnet protocol. For example:
require'jtelnet'
tn=: conew'jtelnet' NB. create jtelnet object
logon__tn'Frodo Bilbo Baggins 0'
run__tn'ls'
destroy__tn''
Open and study the scripts for more information and ideas on their use.
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I implemented Aaron Hertzmann's "Painterly Rendering with Curved Brush Strokes of Multiple Sizes" [1], with the image processing operations performed on the GPU. The painterly rendering algorithm produces images that appear hand-painted. The algorithm builds the painting up in layers, with each layer corresponding to a single brush size. The algorithm performs blurring, edge detection, difference, and averaging operations on images when rendering each layer. All these steps are 2D convolution operations in which a kernel or multiple kernels are applied to each pixel in an image. Such repetitive calculations are suitable for GPU implementations, because of the hardware's massive parallelism.
PAINTERLY RENDERING
The painterly rendering algorithm transforms an input image into a version of the image that looks hand-painted. The algorithm progressively refines the painting by first placing large brush strokes in large, flat areas of color in the source image, and then drawing an additional layer for each smaller brush size in decreasing order. The algorithm uses small brush strokes only in regions of high detail in the source image. Therefore, the lower layers, those with broad brush strokes, are still visible in the final painting.
For each layer, the algorithm creates a reference image by blurring the source image to a degree proportional to the brush size used in the layer. Reference images represent the image to be approximated by each brush. Therefore, large brushes approximate only the gross features in a source image and small brushes approximate the fine features. In pseudocode, this algorithm is written as:
Paint (source_image, brush_radii[]) { canvas := constant color image foreach brush radius r from largest to smallest do reference_image = gaussian_blur (source_image) PaintLayer (canvas, reference_image, r) end }The PaintLayer routine paints a new layer on the canvas based on the current reference image and brush size. The routine chooses starting points for brush strokes by traversing a grid whose size is proportional to the brush size. The average color difference between the canvas and the reference image at each grid point is computed and compared to a threshold. If the difference is greater than the threshold for a grid point, then a stroke is drawn for that grid point. This thresholding allows previously drawn layers to remain visible, because each successive layer does not cover the entire canvas. The actual starting point for each stroke is chosen as the pixel in the neighborhood with greatest difference between the canvas and the reference image. The routine is written as:
PaintLayer (canvas, reference_image, r) { S := empty set of strokes D := pointwise_difference (canvas, reference_image) grid := f_g * r for x in [0..width] step grid do for y in [0..height] step grid do area_error := average difference of points in grid*grid neighborhood around (x,y) if (area_error > threshold) then (x',y') := largest error point in neighborhood around (x,y) s := MakeStroke (r, x', y', reference_image) add s to S end end paint strokes in S in random order }where f_g is some constant grid size factor. The distance between two colors is defined as sqrt((r_1-r_2)^2 + (g_1-g_2)^2 + (b_1-b_2)^2). make_stroke draws a brush stroke of radius r starting at (x',y').
CURVED BRUSH STROKES
The brush strokes are modeled as cubic B-splines, and have constant thickness and color. Each successive B-spline control point is located by following the image gradient's normal for the length of the brush radius. Therefore, the splines roughly match the reference image's isocontours. Sobel edge detection of the reference image luminance determines the image gradients. A stroke ends when it has either reached a maximum length or when its color deviates too much from the reference image.
When choosing the normal of the image gradient for a control point there are two candidates. Hertzmann chooses the normal that minimizes the stroke curvature. The algorithm can also limit or exaggerate the curvature by filtering the stroke directions. Strokes are rendered using OpenGL with either points or a triangle strip along the subdivided B-spline. The stroke drawing algorithm is written as:
MakeStroke (r, x0, y0, reference_image) { stroke_color := reference_image at (x0,y0) K := stroke of radius r and color stroke_color add (x0,y0) to K (x,y) = (x0,y0) (last_dx,last_dy) := (0,0) for i in [1..max_stroke_length] do if (i > min_stroke_length and |reference_image at (x,y) - canvas at (x,y)| < |reference_image at (x,y) - stroke_color|) then return K // detect vanishing gradient if reference_image gradient magnitude at (x,y) near 0 then return K // get unit vector of gradient (gx,gy) := reference_image gradient direction at (x,y) // compute a normal direction (dx,dy) := (-gy,gx) // reverse normal if necessary if (last_dx * dx + last_dy * dy < 0) then (dx,dy) := (-dx,-dy) // filter the stroke direction (dx,dy) := f_c*(dx,dy) + (1-f_c)*(last_dx,last_dy) normalize (dx,dy) (x,y) := (x+r*dx,y+r*dy) (last_dx,last_dy) := (dx,dy) add (x,y) to K end return K }where f_c is a filter constant.
RENDERING STYLES
Hertzmann's painterly rendering algorithm makes uses of style parameters:
GPU-ACCELERATION
When drawing each layer, the painterly rendering algorithm described above performs four image processing operations that cleanly and directly map to to the GPU: blurring, edge detection, difference, and area averaging. I implemented each operation in fragment programs. The input images are bound as textures and the results are written to textures.
I implemented the blurring operation as a separable Gaussian blur. In general, a 2D convolution requires (width * height) multiplications per pixel, but when the convolution filter can separated the convolution requires only (width + height) multiplications per pixel. Therefore, I first convolve the image with a (n * 1) filter, then convolve the resulting image with a (1 * n) filter. As an example, my Gaussian blur with a 5x5 filter uses the following two fragment programs to create a reference image from the source image:
// Horizontal filter. void main (half4 position : POSITION, half2 texCoord : TEXCOORD0, uniform samplerRECT image, uniform half weights[5], out half4 color : COLOR) { color = 0; for (int x = -2; x <= 2; x++) { color += texRECT(image, half2(texCoord.x+x, texCoord.y)) * weights[x+2]; } } // Vertical filter. void main (half4 position : POSITION, half2 texCoord : TEXCOORD0, uniform samplerRECT image, uniform half weights[5], out half4 color : COLOR) { color = 0; for (int y = -2; y <= 2; y++) { color += texRECT(image, half2(texCoord.x, texCoord.y+y)) * weights[y+2]; } }The Gaussian filter coefficients are bound to weights. The source image is initially bound as image in the horizontal pass, then the result of that pass is bound to image in the vertical pass. The result is a Gaussian blurred source image—the reference image. I have four sets of these horizontal/vertical filter fragment programs; one for each of the four brush sizes defined by my program.
The PaintLayer routine finds the difference between the canvas and the reference image with the following fragment program:
void main (half4 position : POSITION, half2 texCoord : TEXCOORD0, uniform samplerRECT canvas, uniform samplerRECT reference_image, out half3 color : COLOR) { half3 c = texRECT(canvas, texCoord); half3 r = texRECT(reference_image, texCoord); color = distance(c, r); }Note that the distance function computes the Euclidean distance between c and r—the exact computation to find the color difference.
The PaintLayer routine also finds the average color difference in the neighborhood of each grid point. I achieve this by feeding the result of the above difference operation into a box filter convolution. Like the Gaussian filter, the box filter is separable. Therefore, I can use the same set of fragment programs as the Gaussian blur, but I bind uniform fractional weights to the weights arrays.
Finally, the MakeStroke routine of the painterly rendering algorithm requires the image gradient directions and magnitudes. I find these by Sobel filtering the luminance of the reference image in two passes, first with the filter:
|-1 -2 -1| | 0 0 0| | 1 2 1|and then with the transpose of that filter:
|-1 0 1| |-2 0 2| |-1 0 1|I store the results in a 16-bit floating point texture. As an optimization, the texture coordinates of the neighboring fragments are computed in a vertex program. My Sobel filtering fragment program is:
void main (half4 position : POSITION, half2 texCoord : TEXCOORD0, half4 texCoord_ne_nw : TEXCOORD1, half4 texCoord_n_s : TEXCOORD2, half4 texCoord_e_w : TEXCOORD3, half4 texCoord_se_sw : TEXCOORD4, uniform samplerRECT reference_image, out half4 color : COLOR) { static const half3 lum = half3 (0.3, 0.59, 0.11); static const int weights[2][9] = {{-1, 0, 1, -2, 0, 2, -1, 0, 1}, // top to bottom {-1, -2, -1, 0, 0, 0, 1, 2, 1}}; // left to right half2 g = half2(0,0); color = 0.0; half lums[9]; lums[0] = dot(lum, texRECT (reference_image, texCoord_se_sw.zw)); lums[1] = dot(lum, texRECT (reference_image, texCoord_n_s.zw)); lums[2] = dot(lum, texRECT (reference_image, texCoord_se_sw.xy)); lums[3] = dot(lum, texRECT (reference_image, texCoord_e_w.zw)); lums[4] = dot(lum, texRECT (reference_image, texCoord)); lums[5] = dot(lum, texRECT (reference_image, texCoord_e_w.xy)); lums[6] = dot(lum, texRECT (reference_image, texCoord_ne_nw.zw)); lums[7] = dot(lum, texRECT (reference_image, texCoord_n_s.xy)); lums[8] = dot(lum, texRECT (reference_image, texCoord_ne_nw.xy)); for (int i = 0; i < 9; i++) { g += lums[i] * int2(weights[0][i], weights[1][i]); } // Magnitude. color.r = length(g); // Direction. color.gb = normalize(g); color.g = -color.g; }Note that the fragment program normalizes the direction and computes the normal direction by flipping the sign of one of the direction components.
The results of three of the four image processing operations performed on the GPU are read back to the CPU in order to draw the brush strokes; only the difference operation result is not read back. Note that the canvas is rendered using OpenGL and never needs to be read back from the GPU. For each layer, the brush strokes are rendered to the canvas using render-to-texture operations. Therefore, the canvas is always available as a texture for the next layer's image processing operations or to be displayed.
PERFORMANCE
I tested my program on a 3GHz Pentium 4 with a Quadro FX 500 graphics card. The processing time should be roughly proportional to the source image size. The GPU image processing and the CPU stroke calculations are both included in these approximate measurements:
| Image Size | Processing Time |
|---|---|
| 320x240 | 0.5 s |
| 640x480 | 2 s |
| 1280x850 | 5.5 s |
| Image Size | Processing Time |
|---|---|
| 320x240 | 0.38 s |
| 640x480 | 1.17 s |
| 1280x850 | 2.5 s |
| Image Size | GPU Processing Time |
|---|---|
| 320x240 | 0.22 s |
| 640x480 | 0.28 s |
| 1280x850 | 0.50 s |
RESULTS
Examples of the painting styles are presented on separate pages:
Impressionism
Expressionism
Pointillism
Colorist Wash
REFERENCES


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Non www url - Better Battlelog Forums #2088
Sitemap
07. October 2012 09:19
Topicstarter
Uzzi
If I post a link, for example
http://history.anticheatinc.com/bf3/index.php
the following error is displayed
Sorry, that page doesn't exist
Try going back or Home
Uzzi
07. October 2012 15:13
BrainFooLong
Administrator
This is not a bug from BBLog. You need to go to DICE.


Carousel
(
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)
Slide {{$index}}
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select
{{$index}}: {{slide.text}}
Add Slide
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Enter a negative number to stop the interval.
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{{phone.description}}
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Availability
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{{phone.battery.standbyTime}}
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RAM
{{phone.storage.ram}}
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{{phone.storage.flash}}
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Network Support
{{phone.connectivity.cell}}
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{{phone.connectivity.wifi}}
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{{phone.connectivity.bluetooth}}
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{{phone.connectivity.infrared | checkmark}}
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{{phone.connectivity.gps | checkmark}}
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{{phone.display.touchScreen | checkmark}}
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{{phone.hardware.usb}}
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{{phone.hardware.audioJack}}
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{{phone.hardware.fmRadio | checkmark}}
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{{phone.hardware.accelerometer | checkmark}}
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{{phone.camera.primary}}
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{{phone.camera.features.join(', ')}}
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Main corporate website
App for children with asthma
Simple logo for a new startup in Detroit
Landing page for local automotive dealer / built within a CMS
Eblast for a start up ad agency in Florida
Multi-page brochure for print
Developer style guide to ease build process / developed off Bootstrap
Bootstrap landing page for event
Mobile App for connected vehicles
Eblast in support of yearly event


Ansible allows you to manage the configuration of remote linux server instances — whether config files, installed software.
Additionally Ansible can create hosts in EC2 (and other clouds or VPS providers such as digitalocean), in Vagrant, through cobbler, etc.
Ansible is open source
Key concepts of Ansible include:
Playbooks specify a list of tasks* that are run in sequence across one or more hosts. Each task can also run multiple times with a variable taking a different value
- hosts: localhost
connection: local
tasks:
— name: create ex1, ex2 directories in current directory
action: file state=directory dest={{item}}
with_items: [ex1, ex2]
* Also: roles, handlers, variables. But mostly tasks!
Inventory is the representation of information about hosts — what groups a host belongs to, the properties those groups and hosts have. A hierarchy of groups often results
-i
flag or set it in
your Ansible config file, and it can point to a static file (typically
called hosts) or a dynamic inventory script (e.g. ec2.py).~/inventory/hosts
,
then the information
about the exampleapp group would live in
~/inventory/group_vars/exampleapp.yml
Templates allow you to generate configuration files from values set in various inventory properties. This means that you can store one template in source control that applies to many different environments.
An example might be a file specifying database connection information that would have the same structure but different values for dev, test and prod environments
db.settings={{dbhost}}:{{dbport}}/{{dbuser}}:{{dbpass}}@{{dbschema}}
Roles are a way to encapsulate common tasks and properties for reuse. One example is to install java, a very common task!
- role: ../../../common/roles/java7/0.3.0
minor_version: 45
dest: /opt/java
If you find yourself writing the same tasks in multiple playbooks, turn them into roles.
You will need:
Ansible modules are designed to be safely repeatable
Use the file module rather than command with rm, mkdir, rmdir etc.
Other modules that replace shell commands include synchronize, unarchive, git, hg, svn
You'll need to merge in patch #5123 for this to work in your environment
As with any software development, make the most of the tools of your environment. Agree coding standards with your teams, and enforce them with pre- or post-commit scripts.
You can use e.g. ansible-playbook --syntax-check
to ensure that the playbook is syntactically valid, for example
This is not specifically Ansible related — there are some things you just have to do to manage AWS. But this is how the two go together
Ansible relies on boto. With a suitable ~/.boto config file, the playbook that creates an instance looks a bit like:
- name: create instance
ec2:
user_data: "{{ lookup('template', '../templates/userdata.tmpl') }}"
region: "{{region}}"
image: "{{rhel6ami}}"
instance_type: "{{instance_type}}"
vpc_subnet_id: "{{vpc_subnet}}"
group_id: "{{security_group}}"
register: ec2


Certification
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Amadeus Fall Hackathon 2018
Leading Safe Amadeus 2019
Angular 8 @Udemy2019


{% extends "content_template.html" %} {% from "components/table.html" import mapping_table, row, text_field, edit_field, field with context %} {% block per_page_title %} {{ _('Template formatting guide') }} {% endblock %} {% block maincolumn_content %}
{{ _('Use this guide to write email message templates. Make sure to send yourself a message before sending to recipients to ensure formatting looks good.') }}
{% include "partials/templates/guidance-formatting.html" %} {% include "partials/templates/guidance-links.html" %} {% include "partials/templates/guidance-personalisation.html" %} {% include "partials/templates/guidance-conditional-text.html" %} {% if current_service and current_service.has_permission('upload_document') %} {% include "partials/templates/guidance-send-a-document.html" %} {% endif %}


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{% extends "admin_dashboard_base.html" %} {% block title %}Admin console{% endblock %} {% block content %}
This instance is linked to the dropbox account of {{ dropbox_info.data.display_name }} < {{ dropbox_info.data.email }} >.


The VectorImage is a collection of painting operations that can be replayed, isolated, analyzed, serialized, etc.
To understand the VectorImage we need to take a step back and understand a couple of key helper classes.
VectorGraphics2D
A VectorGraphics2D is a Graphics2D implementation that writes painting instructions as a series of Operation objects. (There is a separate Operation subclass for each type of operation: one for filling a Shape, one for drawing a Shape, one for drawing an Image, one for drawing a String, etc.)
Graphics2DContext
Several Graphics2D methods don't actually render anything. (Like setComposite(..), setColor(..), setTransform(..).) These help configure the context for future rendering operations. The Graphics2DContext class helps keep track of all of these properties. The methods in this class exactly match the configuration methods in Graphics2D.
This class is independent of the VectorGraphics2D and VectorImage; it may be useful in other custom Graphics2D implementations too.
In the case of the VectorGraphics2D and Operations: each Operation takes a snapshot of the current Graphics2DContext when it is constructed.
VectorImage Usage
Currently the VectorImage has two specific applications:
-
In this demo if you press the F6 key we paint the current Frame to a VectorImage. (That is: we call myFrame.paint(myVectorGraphics)).
Then we present this image in a VectorImageInspector panel. As you iterate through the list of Operations on the left the preview shows each operation as it is rendered. This lets you see the exact order of all the rendering instructions.
If you right-click any Operation in the list on the left then you'll see a stacktrace of that Graphics2D call.
The intention here is to help debug GUIs. A VectorImage is Serializable. So in addition to attaching screenshots to bug reports: you can add a serialized VectorImage. This would help developers identify exactly what code is painting a stray line or pixel, or what the clipping/transform is, etc.
-
The FilteredGraphics2D is a VectorGraphics2D subclass that passes each Operation through a filter. That filter can reject or modify each Operation as it comes in.
The only current implementation of this is a FilteredGraphics2D that exclusively renders text (StringOperations). So you can paint a JComponent and only paint the text.
Other potential future applications might include:
-
A filtered Graphics2D that identifies the exact baseline of text as it is rendered.
-
A Graphics2D that converts all Operations to solid-color masks.
-
A Graphics2D that collects a series of instructions and then renders a blurred shadow underneath them.
-
A Graphics2D that isolates text instructions as glyphs and then applies complex transforms to them as animated text effects. (Flip, bounce, etc.). I've done this in another application using a cruder/simpler mechanism.
-
A Graphics2D that isolates Operations so you can convert them to another file format. For example: once years ago I wrote a Graphics2D that helped convert renderings to PPTX images. The (wonderful) Batik toolkit probably does something similar when it uses a custom Graphics2D to help write SVG files. Likewise if iText ever lets you down you could make your own Graphics2D to export to PDF. Or Encapsulated PostScript. Etc.
Serialization
Making the VectorImage serializable was a lot more work than expected.
Many java.awt classes are not Serializable: java.awt.BasicStroke, java.awt.AlphaComposite, java.awt.Shape, java.awt.RenderingHints, etc.
The AWTSerializationUtils class includes 17 targeted filters that will convert these unserializable classes to a Serializable wrapper. In theory you should never have to worry about these details, but if you've created custom Paints/Strokes/Shapes then it may come up. (Also it may just be nice to keep in mind for other future projects.)


october 31, 2014
The main goal of this post is that a beginner coder or a person with no coding background can read it and understand it. So I will try to keep it as simple as possible.
Just stick with me and when you finish reading this you will get a general idea of what Git, Github and Version Control are.
VERSION CONTROL
Version Control lets you manage your work to keep track of changes you’ve made to a project. Voila! Good things come in three so here are 3 main benefits of Version Control.
1) Safety Net- If you add new things to a project and want to go back to an older version, version control lets you do this.
2) Keep track - It is a great way to see the progress/history of a project.
3) Safety Net- That is right, this one again.
GIT
Git is a free version control software. It was created by genius Linus Troval. Git helps you keep track of changes. How? Well, you install git and through a series of commands you ask git about all the changes you’ve made to a project.
To get a better grasp here are the primarily steps of using git.

2) You tell git, hey git! keep track of this folder.  Well no, let me explain, imagine you are working on a presentation for the office, made some changes, saved it, then made some more changes and saved it again. You can not go back to the original presentation. If you wanted to get back a paragraph you deleted, or a graph or anything you can't go back. Unless you keep a saved verion1, version2, version 3 etc... Well with git you can always go back to a previous version.
GITHUB
Almost done, last part, GitHub. Now, right of the bat, git ≠ github. Git is a program used to track changes github is a social platform where you can collaborate on a project on the web.
Why use GitHub? One word, COLLABORATION. Hackers/coders/devolopers/programmers use github to work on projects. You can put your code on github and then others can collaborate with you, adding code and fixing bugs. No need for 100 emails or making sure that everyone has the latest copy, github helps us with that. You set the project on github and merge into it anything that you want.
There is a twist here, imagine two people work on the same thing, once you try to merge (combine your work with the work of a collaborator), git (you merge, save, and push changes to github via the software git), will have a trouble to see what to use and will tell you about this conflict. It then gives you the option to manually say what to use for that part of the project. How cool is that!
Should we not create a way to teach more people about this? Maybe a web app that helps consultants, investment bankers, etc learn how they can use git and github for their work? Maybe one day I will.
Stay tuned for more,
Andy-dev —OVER AND OUT


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Software Development Track
Computer Science - Software Development Track
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- Ruby and Ruby on Rails.
- Data structures, linked lists, stacks, queues, hashes, trees, graphs.
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var site_url = "http://meme-suite.org";
//======================================================================
// end RasterizedAlphabet
//======================================================================
//======================================================================
// start LogoMetrics object
//======================================================================
* Initialise and display the download popup.
The name of the motif uses the IUPAC codes for nucleotides which has
a different letter to represent each of the 15 possible combinations.
The name is itself a representation of the motif though the position
weight matrix is not directly equivalent as it is generated from the
sites found that matched the letters given in the name.
The logo of the motif.
The logo of the reverse complement motif.
The E-value is the enrichment p-value times the number of candidate
motifs tested.
The enrichment p-value is calculated using Fisher's Exact Test for
enrichment of the motif in the positive sequences.
Note that the counts used in Fisher's Exact Test are made after
erasing sites that match previously found motifs.
The E-value of the motif calculated without erasing the sites of
previously found motifs.
Show more information on the motif.
Submit your motif to another MEME Suite program or download your motif.
Supported Programs
Tomtom
Tomtom is a tool for searching for similar known motifs.
MAST
MAST is a tool for searching biological sequence databases for
sequences that contain one or more of a group of known motifs.
FIMO
FIMO is a tool for searching biological sequence databases for
sequences that contain one or more known motifs.
GOMo
GOMo is a tool for identifying possible roles (Gene Ontology
terms) for DNA binding motifs.
SpaMo
SpaMo is a tool for inferring possible transcription factor
complexes by finding motifs with enriched spacings.
DREME
Discriminative Regular Expression Motif Elicitation
For further information on how to interpret these results please access
To get a copy of the MEME software please access
If you use DREME in your research please cite the following paper:
Timothy L. Bailey, "DREME: Motif discovery in transcription factor ChIP-seq data", Bioinformatics, 27(12):1653-1659, 2011.


GUI test automation for Windows desktop
Introduction
If you look at conference talk and workshop topics, (online) articles, tutorials, and courses, you could get the impression that most software testing revolves around web and mobile. The 2020 state of testing report, curated and published by Practitest, underwrites that. Web and mobile have got the biggest share of the technologies being tested (75% and 59% respectively). Desktop is coming in third with 45%. Which makes you think why this technology is not getting more attention in the world of testing? It's about time that we put the limelight on desktop testing; Windows desktop automated testing to be precise.
The first part of this article will give an overview of available tools for Windows desktop automation. Then it will go into the things to consider in choosing a tool.
Available tools
This will not be a complete overview on available desktop test automation tools. Things that are currently not included (but might be added later):
- Paid for tools. I have not done enough research into these. Only open source tools are listed.
- Tools for other operating systems than Windows (e.g. Linux, MacOS), as I've not had a lot of exposure on this.
- Tools that are not aimed at (aiding) GUI automation (e.g. database, API, network). These are not specifically for desktop, so won't be covering those.
Joe Colantonio of Test Guild (@joecolantonio) already has put together a very extensive list of Automation tools for desktop applications. Follow the link to Joe's article for a full description of each of these following tools:
- Windows Application Driver
- Winium
- White Framework
- Jubula
- pywinauto
- Oracle Application Testing Suite OATS
- SikuliX
- FlaUI
- AutoIt
- Zaptest
- AirTest
- Appium
Almost as important as the tools for automated test execution itself, are the tools that support you in creating your automation.
For web automation, DevTools are invaluable in that respect (
A last tool I would like to mention is not necessarily a desktop GUI automation tool, but definitely one that can help in testing a Windows desktop application. It is called Accessibility Insights, and is aimed at inspecting and assessing the accessibility of an application for people with and impairment like vision loss or colour blindness.
Considerations
In choosing a test automation tool or framework, in general, there are a lot of things things to consider, like:
- Supported programming languages
- Reporting capabilities
- Integration with other tools
- ...
A more complete overview of general considerations can be found on the Ministry of Testing website.
In addition to the above, there are a few things specific to desktop test automation to keep in mind:
- Supported operating systems. Not all available tools will work with each version of Windows. We would have loved to use WinAppDriver as our platform, but it is only available for Windows 10.
- Windows has got different application platforms, which all work slightly differently. Be sure your tool supports the platform you want to target.
- Some desktop applications have got their own specific frontend, depending on which underlying technology is being used. For example, GUIs from a JAVA or Oracle application are constructed in a different way, and there are specific tools supporting those type of applications.
Wrapping up
The aim of this post has not been to give an ultimate list of available desktop test automation tools.
But sure I will keep adding to it when I come across tools in this category that not yet have been mentioned.
And please send me a message if you know of a tool that should be mentioned here.


SNAP has been generously supported by Shirley and Harry Hagey, Steve and Roberta Denning, Seth Neiman, the Gordon and Betty Moore Foundation, Ward W. and Priscilla B. Woods, and the David and Lucile Packard Foundation.
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At AURA, one of our primary goals is to support high school robotics teams through mentoring programs. If you're looking for support from a skilled and friendly bunch of Auckland University students, you may have to keep looking. If you're willing to settle for AURA, fill in this form so Rob can get in touch.


Updated: 2020-11-30 00:05:03 +0000
In August of 2018, I began collecting links related to blockchain, in the channels of a discord server, which rapidly multiplied. At the time, I advertised content creation services on a popular freelance site, attracting mostly enterprise blockchain types.
Personally, I never found permissioned blockchains very interesting. However, I enjoy getting paid to learn. I also appreciate learning about the market through the eyes of my clients.
I’m a Bitcoiner at heart, but that doesn’t stop me from being interested in blockchains and cryptocurrencies. Since ‘blockchain’ is such a massive space, I began by studying the history surrounding Bitcoin. For me, it’s important to understand the events and conditions leading to Bitcoin, before presuming to know anything about cryptocurrency.
I’m almost caught up enough to take a solid stab at the actual history of Bitcoin, which naturally leads to the history of cryptocurrency. It’s quite likely that I’ll explode into stardust, once I begin working on the years since 2017.
Before all that happens, I’d like to have a site dedicated to Bitcoin only, early 2020.
After a year and a half of full-time dedicated curation, I’ve decided to drop the discord servers, and move on to more sophisticated tools.
Bitcoin
- Down the @TheCryptoconomy Rabbithole - Essential Bitcoin Literature in Audio Format
- Running Bitcoin: Tools, Apps and Guides
- LightniNgFo: Wallets, Applications, Guides and Development
Bitcoin History
- Electronic Cash and Virtual Currencies, Before Bitcoin
- Cypherpunks and the Crypto Wars
- Blockchain and the United Nations
- History of Permissioned Ledgers
Transcripts
Around a year ago, I started making transcripts for content that I felt was too valuable to be left in audio format only. More recently, starting with Mark Miller and David Chaum, I’ve started going wild adding links for more information on the discussed topics.
- Mark Miller, Agoric and the Decades-Long Quest for Secure Smart Contracts
- David Chaum - Forefather of Cryptocurrencies and the Cypherpunk Movement
- Smart Signatures - Christopher Allen
- Public vs Private Blockchains for the Enterprise
- JW Weatherman Interviews Cypherpunk Legend Timothy C May
- Stephan Levira Podcast 53 - Andreas M. Antonopoulos - On Bitcoin Maximalism
- History of Blockchains for Business — Casey Kuhlman, Monax


Corbyn: I'll be neutral in second Brexit referendum
by Alastair JamiesonBritain’s opposition leader, Jeremy Corbyn, has confirmed that he will take a “neutral stance” in a second Brexit referendum if he becomes prime minister.
It follows mounting pressure to say which side he would take in the confirmatory poll that his Labour party proposes.
Labour, which on Thursday unveiled a manifesto brimming with public spending pledges, says it will negotiate a new Brexit deal with the European Union and put the outcome to a second national vote.
Corbyn said he would “be an honest broker and not campaign for either side in the final say referendum.”
The announcement came in a BBC debate hosted by Fiona Bruce in which leaders of the four main parties answered questions from a studio audience.
Boris Johnson was challenged about his government’s refusal to publish a report into Russian interference in British politics, but his answers were dismissed by the audience.
Earlier, the Brexit Party, led by anti-EU Nigel Farage, published a list of policy pledges in its manifesto.
The party is running in almost 300 seats but has withdrawn from 317 Conservative-held constituencies to avoid splitting the pro-Brexit vote.
Farage urged voters to give his party lawmakers in Parliament so they could pressure the government for a hard Brexit in which Britain wouldn’t remain aligned to EU rules and standards.
“Without us, there will be no genuine Brexit,” he said.


Make a Ticket
Name:
Type:
Priority:
Description:
Assignee:
Reporter:
Tickets
Name: {{ ticket.name }}
Type: {{ ticket.type }}
Priority: {{ ticket.priority }}
Description: {{ ticket.description }}
Assingee: {{ ticket.assignee }}
Reporter: {{ ticket.reporter }}
Complete Ticket
Edit
Save


The Device API exposes internal information about the device, such as the model and operating system version, along with user information such as unique ids.
import { Plugins } from '@capacitor/core';
const { Device } = Plugins;
const info = await Device.getInfo();
console.log(info);
// Example output:
{
"diskFree":<PHONE_NUMBER>8,
"appVersion": "1.0.2",
"osVersion": "11.2",
"platform": "ios",
"memUsed": 93851648,
"battery": -1,
"diskTotal":<PHONE_NUMBER>48,
"model": "iPhone",
"manufacturer": "Apple",
"uuid": "84AE7AA1-7000-4696-8A74-4FD588A4A5C7",
"isVirtual":true
}


HTML Project Location
Cordova Project Location
Environment
Cordova
Phonegap
Platform:
Android
IOS
Type:
Run On Device
Run On Simulator
Just Build
Run It!


This is to test embedded video. If the following video plays with no audio, the test passes.
This video element is not supported.


In order to run this example, you need to:
npm install node nodejs-example-server.js
Then visit
http://localhost:3333/express-socket-client.html
and look at your console.


About
Hi, Nishadh here, an Environmental researcher, currently focusing on air pollution problems by data-intensive approach. Fascinated by the atmospheric process and wanted to study more, interested in numerical modeling, data assimilation. I did my Ph.D. on Particulate air pollution data for Coimbatore, India: real time monitoring and modeling with data-interoperability measures. In my research studies, I was exposed to scientific programming mainly using Python. This website hosts my working notes quickly jolted while learning / doing tasks related to the study.


{% block extra_head %}{% endblock %}
| {{ title }} |
{{ username }}
{{current_UTC_time|date:"D M d, h:i a T " }} |
| Chromium Perf Tryserver | Skia Correctness Tryserver | Manage Chromium Builds | Capture SKPs | Run Lua Scripts | Run Admin Tasks | Pending Tasks in Queue | Tasks History |


Dedication
I devote this work to Max “@chromakode” Goodman, who through incredible effort created and wonderfully shaped the front-end of my inspiration, euphoria.io.
I devote this work to Max “@chromakode” Goodman, who through incredible effort created and wonderfully shaped the front-end of my inspiration, euphoria.io.


{% extends "layout.html" -%} {% block content -%}
AusPIX cells are hierarchical and are calculated when needed.
Click this link to go to landing page . . .