How to program a text adventure in C
by Ruud Helderman
<EMAIL_ADDRESS>Licensed under
MIT License
3. Locations
Traditionally, a text adventure is a virtual world
consisting of (many) different locations.
Though this is not essential
(some adventures take place in a single room!),
it is a good way to explain the use of
data structures.
We start by defining a
struct
to represent a location.
It contains two simple attributes to start with (more may follow later).
- description:
how the location is described in narrative text output by the program.
- tag:
how the location is recognized by the
parser.
| struct location {
const char *description;
const char *tag;
};
|
Next, we define an array of locations.
For now, we keep it really simple: just two locations.
We can use an initializer to immediately fill in all the static data.
| struct location locs[2] = {
{"an open field", "field"},
{"a little cave", "cave"}
};
|
Using the data from the array is simple.
For example, the following line of code will output "You are in an open field."
| printf("You are in %s.\n", locs[0].description);
|
Let’s put this into practice.
In the code sample from the previous chapter (parsexec.c),
we alter lines 4, 18 and 22 (slightly highlighted below).
| Sample output |
Welcome to Little Cave Adventure.
You are in an open field.
--> go cave
OK.

You are in an open field.
--> go field
You can't get much closer than this.
--> look around
You are in an open field.
--> go kitchen
I don't understand where you want to go.
--> quit
Bye!
|
| parsexec.c |
- #include <stdbool.h>
- #include <stdio.h>
- #include <string.h>
- #include "location.h"
- bool parseAndExecute(char *input)
- {
- char *verb = strtok(input, " \n");
- char *noun = strtok(NULL, " \n");
- if (verb != NULL)
- {
- if (strcmp(verb, "quit") == 0)
- {
- return false;
- }
- else if (strcmp(verb, "look") == 0)
- {
- executeLook(noun);
- }
- else if (strcmp(verb, "go") == 0)
- {
- executeGo(noun);
- }
- else
- {
- printf("I don't know how to '%s'.\n", verb);
- }
- }
- return true;
- }
|
Explanation:
- Line 4:
express your intent to use the functions defined in the module below.
- Line 18, 22:
call the new functions.
Next, we add a new module to the project.
| location.h |
- extern void executeLook(const char *noun);
- extern void executeGo(const char *noun);
|
| location.c |
- #include <stdio.h>
- #include <string.h>
- struct location {
- const char *description;
- const char *tag;
- }
- locs[] = {
- {"an open field", "field"},
- {"a little cave", "cave"}
- };
- #define numberOfLocations (sizeof locs / sizeof *locs)
- static unsigned locationOfPlayer = 0;
- void executeLook(const char *noun)
- {
- if (noun != NULL && strcmp(noun, "around") == 0)
- {
- printf("You are in %s.\n", locs[locationOfPlayer].description);
- }
- else
- {
- printf("I don't understand what you want to see.\n");
- }
- }
- void executeGo(const char *noun)
- {
- unsigned i;
- for (i = 0; i < numberOfLocations; i++)
- {
- if (noun != NULL && strcmp(noun, locs[i].tag) == 0)
- {
- if (i == locationOfPlayer)
- {
- printf("You can't get much closer than this.\n");
- }
- else
- {
- printf("OK.\n");
- locationOfPlayer = i;
- executeLook("around");
- }
- return;
- }
- }
- printf("I don't understand where you want to go.\n");
- }
|
Explanation:
- Line 4-11:
in C you can use a single statement to define a type (struct location),
declare a variable (locs) and fill it with its initial values.
- Line 8:
the array length (2) is not specified;
in this case, the C compiler will automatically determine the length
based on the number of elements in the initializer.
- Line 13:
as variable locs is
allocated statically,
we can let the compiler calculate the total number of locations;
very handy once we start adding more locations.
The calculation is rather obscure to look at,
so we give it a meaningful name numberOfLocations.
The calculation is performed at compile time, not in runtime,
so we can use
#define
without any performance penalty.
- Line 15:
the player’s location is initially 0
(indexing the first array element: the field);
change the value of locationOfPlayer to move to a different location
(as is done in line 43).
- Line 15, 31:
because numberOfLocations is an
unsigned integer,
we use the same type to declare variables locationOfPlayer and i.
- Line 44:
after the player has moved, the new location is immediately reported back,
as if the player entered the command ‘look around’.
Now the commands look around and go <location>
have really come to life!
Feel free to experiment by adding more locations.
Of course, the game is still far from perfect.
Right now, there is too much freedom: from every location,
the player can freely jump to any other location.
In chapter 6, we will show how to ‘connect’ locations.
But next up, we will start adding objects to the game.
Next chapter: 4. Objects


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Ruby CUPS
A lightweight Ruby library for interacting with printers through CUPS.
About
Ruby CUPS provides a wrapper for the Common UNIX Printing System, allowing rubyists to perform basic tasks like printer discovery, job submission & querying.
This library is opinionated in a few respects:
- Setting up CUPS & requisite print drivers is already part of your sys-admin repertoire
- By implication you don't want another GUI to manage it all
- You’re only looking for destinations which have been set up locally
Although this, like everything else is open to change.
Get it
sudo gem install cups
Let's print something!
require 'cups'
page = Cups::PrintJob.new("/invoice.pdf")
page.print # => 127
Instantiate a PrintJob object, call print on it, and you've got yourself a job number there.
What happened to my job?
page.state # => "Processing..."
page.cancel # => true
Which printer do I want?
Cups.show_destinations # => ["office", "home"]
Cups.default_printer # => "office"


World of Rations® is an online cloud-based ration formulation program, structured in such a way as to suit the farmer, specialist nutritionist, feed milling companies and academics alike. The program formulates rations in a true least-cost linear programming procedure. The user merely has to select from the extensive list of feedstuffs the feeds available to him and submit the cost of the selected ingredients.
Along with the standard ‘production-type’ species, World of Rations® offers to its users the facility to formulate rations for a very wide range of other animals such as dogs, cats, alpacas, ostriches, quail, fish, antelope, etc. The nutrient requirements for these animal are derived from the latest publications of the major scientific councils such as NRC, ARC, AAFCO etc, and form part of its extensive data base , making it unnecessary to users to have these values at their fingertips.
There is the added facility offered for users to modify or change the values of any particular formula or feed ingredient, if he so wishes. Finally, all rations that are formulated, are free to the point where the user can view the price (cost) per ton of the formulated feed. For a small fee he can obtain the ration’s composition, together with the ration’s micro-nutrient status, listing the nutrients that are adequate or deficient or in excess. On request, for an additional small fee, a customized premix can be formulated.


About the Man, the Myth, the Legend
I love coding, good dogs, and looking cool in suits. I have had many amazing experiences being able to create awesome software. From front end to back end, I seem to enjoy anything that can get me in front of a computer to do what I love to do most: break things until they work. In my spare time I like working out, going to church, playing Dungeons and Dragons, dating my wife, and making cool stuff (like this website #shamelessPlug).


Man comes up with genius way to de-ice your car and keep you warm
Daniel Harris' hack has gone down a treat on social media, with the North East getting its first taste of winter this week
by Zoe ForseyThe North East had an early taste of winter this week as temperatures plummeted.
On Wednesday morning, drivers in parts of the region woke to find their car windscreen iced over.
However, one man might have just made that morning task a lot easier after he coming up with a genius way of doing it.
Daniel Harris shared his idea on social media and people are loving it.
Remember, using hot water on your frozen windscreen can cause it to crack. Here is our guide to how to de-ice your car without breaking the law.
So instead of using a can of de-icer and a scraper, Daniel fills a sandwich bag with warm water.
He then simply drags it over the windows and watches the ice melt immediately.
He wrote: "Hot water in a food bag and bam you've got a de-icer and a hand warmer. Works a treat, and it's fast!"
He added: "I used warm tap water so I could safely hold it and lower the risk of cracking my screen.
"The de-icer cans are so cold in the morning and this way keeps you nice and toasty. Oh and yes it was ice not condensation.
"I know it looks it but try it and you won't be disappointed."


Messi scores on Argentina return to sink Brazil
RIYADH, Nov 16 — Lionel Messi struck on his return to international duty yesterday following a three-month ban as Argentina defeated fierce rivals Brazil 1-0 in a friendly in Riyadh.
The Barcelona forward was suspended by Conmebol for accusing South American football’s ruling body of “corruption” after he was sent off in July’s third-place play-off with Chile at the Copa America.
Messi netted the only goal of the game at the King Saud University Stadium on 13 minutes, tapping home the rebound after his penalty was saved by Brazil goalkeeper Alisson.
His effort came shortly after Manchester City striker Gabriel Jesus rolled a spot-kick wide for Brazil, who were playing without the injured Neymar.
Messi, who scored with a pair of free-kicks in his last game with Barcelona, twice threatened from set pieces in the second half before Liverpool ‘keeper Alisson beat away a powerful drive from Paredes.
Rodrygo, the 18-year-old who scored a sensational Champions League hat-trick with Real Madrid this month, made his Brazil debut as he replaced Willian for the final 20 minutes.
However, Brazil were unable to find an equaliser as their winless run since capturing the Copa America title extended to five matches.
The meeting between the two South American giants was the second in Saudi Arabia in little over a year. Brazil beat Argentina 1-0 in Jeddah in October 2018.
Brazil also defeated Argentina 2-0 at home in the semi-finals of this year’s Copa America, a controversial match that left Messi complaining the hosts had benefited from favouritism.
Brazil will play a friendly against South Korea in Abu Dhabi on November 19, in their final game before South American qualifying starts for the 2022 World Cup in March. — AFP


When someone says, "I want a programming language in which I need only say what I want done," give him a lollipop. --Alan Perlis [ source]


Lecture 1:
Introduction
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 1 |
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Welcome to CS231n
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 2 |
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Biology
Psychology
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Cognitive | ||
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| Image | graphics, algorithms, | |||
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theory,… | ||
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systems, | ||
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Computer Science
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Machine learning
Mathematics
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 3 |
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Biology
Psychology
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Cognitive | ||
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| Image | graphics, algorithms, | |||
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theory,… | ||
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systems, | ||
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Computer Science
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Machine learning
Mathematics
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 4 |
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Computer Vision courses @ Stanford
CS131 (fall, 2015, Profs. Fei-Fei Li & Juan Carlos Niebles):
– Undergraduate introductory class
CS231a (spring term, Prof. Silvio Savarese)
– Core computer vision class for seniors, masters, and PhDs
– Topics include image processing, cameras, 3D reconstruction, segmentation, object recognition, scene understanding
CS231n (this term, Prof. Fei-Fei Li & Andrej Karpathy & Justin Johnson)
– Neural network (aka “deep learning”) class on image classification
And an assortment of CS331 and CS431 for advanced topics in computer vision
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 5 |
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Today’s agenda
A brief history of computer vision
CS231n overview
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 6 |
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543million years, B.C.
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 7 |
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Camera Obscura
Leonardo da Vinci 16th Century, A.D.
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 8 |
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Hubel & Wiesel, 1959
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 9 |
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Block
world
Larry Roberts, 1963
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 10 |
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Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 11 |
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David Marr, 1970s
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 12 |
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Stages of Visual Representation, David Marr, 1970s
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 13 |
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• Generalized Cylinder • Pictorial Structure
Brooks & Binford, 1979 Fischler and Elschlager, 1973
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 14 |
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David Lowe, 1987
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 15 |
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Normalized Cut
(Shi & Malik, 1997)
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 16 |
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Face Detection, Viola & Jones, 2001
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 17 |
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“SIFT” & Object Recognition, David Lowe, 1999
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 18 |
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Spatial Pyramid Matching, Lazebnik, Schmid & Ponce, 2006
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 19 |
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Histogram of Gradients (HoG) Deformable Part Model
Dalal & Triggs, 2005 Felzenswalb, McAllester, Ramanan,
2009
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 20 |
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PASCAL Visual Object Challenge
(20 object categories)
[Everingham et al. 2006-2012]
| 1 | ||
| Precision | 0.9 | |
| 0.8 | ||
| Average | 0.7 | |
| 0.6 | ||
| 0.5 | ||
| 0.4 |
2009 2010 2011 2012
Challenge Year
all
aeroplane
bicycle
bird
boat
bottle
bus
car
cat
chair
cow
diningtable
dog
horse
motorbike
person
pottedplant
sheep
sofa
train
tvmonitor
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 21 |
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www.image-net.org
22K categories and 14M images
| • Animals |
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Fei-Fei Li & Andrej Karpathy & Justin Johnson
Deng, Dong, Socher, Li, Li, & Fei-Fei, 2009
| Lecture 1 - 22 |
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Steel drum
The Image Classification Challenge:
1,000 object classes
1,431,167 images
| Output: | Output: | ||||||
| Scale | Scale | ||||||
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| T-shirt | T-shirt | ||||||
| Steel drum | Giant panda | ||||||
| Drumstick | Drumstick | ||||||
| Mud turtle | Mud turtle | ||||||
Russakovsky et al. arXiv, 2014
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 23 |
|
Steel drum
The Image Classification Challenge:
1,000 object classes
1,431,167 images
0.28
0.26
0.16
0.12
0.07
Russakovsky et al. arXiv, 2014
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 24 |
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Today’s agenda
A brief history of computer vision
CS231n overview
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 25 |
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CS231n focuses on one of the most important
problems of visual recognition –
image classification
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 26 |
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Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 27 |
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There is a number of visual recognition problems
that are related to image classification, such as object detection, image captioning
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 28 |
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Object detection
Action classification
Image captioning
…
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 29 |
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Convolutional Neural Network (CNN) has become an important tool for object recognition
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 30 |
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| Year 2010 | Year 2012 | Year 2014 | Year 2015 | |||||||
| NEC-UIUC |
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Dense grid descriptor:
HOG, LBP
Coding: local coordinate,
super-vector
Pooling, SPM
Linear SVM
Convolution
Pooling
Softmax
Other
| [Lin CVPR 2011] |
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Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 31 |
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Convolutional Neural Network (CNN)
is not invented overnight
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 32 |
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1998
LeCun et al.
| # of transistors | # of pixels used in training |
| 106 | 107 |
2012
Krizhevsky et al.
# of transistors GPUs # of pixels used in training
109 1014
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 33 |
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The quest for visual intelligence
goes far beyond object recognition…
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 34 |
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Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 35 |
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Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 36 |
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PT = 500ms
Some kind of game or fight. Two groups of two men? The foregound pair looked like one was getting a fist in the face. Outdoors seemed like because i have an impression of grass and maybe lines on the grass? That would be why I think perhaps a game, rough game though, more like rugby than football because they pairs weren't in pads and helmets, though I did get the impression of similar clothing. maybe some trees? in the background. (Subject: SM)
Fei-Fei, Iyer, Koch, Perona, JoV, 2007
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 37 |
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Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 38 |
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Computer Vision Technology Can Better Our Lives
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 39 |
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Who we are
Instructors
Teaching Assistants
Keeping in touch:
–<EMAIL_ADDRESS>– Piazza
Fei- Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 40 |
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Our philosophy
Thorough and Detailed.
– Understand how to write from scratch, debug and train convolutional neural networks.
Practical.
– Focus on practical techniques for training these networks at scale, and on GPUs (e.g. will touch on distributed optimization, differences between CPU vs. GPU, etc.) Also look at state of the art software tools such as Caffe, maybe also Torch and TensorFlow
State of the art.
– Most materials are new from research world in the past 1-3 years. Very exciting stuff!
Fun.
– Some fun topics such as Image Captioning (using RNN)
– Also DeepDream, NeuralStyle, etc.
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 41 |
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Our philosophy (cont’d)
Fun.
– Some fun topics such as Image Captioning (using RNN)
– Also DeepDream, NeuralStyle, etc.
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 42 |
|
Grading policy
3 Problem Sets: 15% x 3 = 45%
Midterm Exam: 15%
Final Course Project: 40%
– Milestone: 5%
– Final write-up: 35%
– Bonus points for exceptional poster presentation
Late policy
– 7 free late days – use them in your ways
– Afterwards, 25% off per day late
– Not accepted after 3 late days per PS
– Does not apply to Final Course Project
Collaboration policy
– Read the student code book, understand what is ‘collaboration’ and what is ‘academic infraction’
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 43 |
|
Pre-requisite
Proficiency in Python, some high-level familiarity with C/C++
– All class assignments will be in Python (and use numpy), but some of the deep learning libraries we
may look at later in the class are written in C++.
– A Python tutorial available on course website
College Calculus, Linear Algebra
Equivalent knowledge of CS229 (Machine Learning)
– We will be formulating cost functions, taking derivatives and performing optimization with gradient descent.
Fei- Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 44 |
|
Syllabus
Go to website…
http://vision.stanford.edu/teaching/cs231n/index.html
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 45 |
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References
Hubel, David H., and Torsten N. Wiesel. "Receptive fields, binocular interaction and functional architecture in the cat's visual cortex." The Journal of physiology 160.1 (1962): 106. [PDF]
Roberts, Lawrence Gilman. "Machine Perception of Three-dimensional Solids." Diss. Massachusetts Institute of Technology, 1963. [PDF]
Marr, David. "Vision.” The MIT Press, 1982. [PDF]
Brooks, Rodney A., and Creiner, Russell and Binford, Thomas O. "The ACRONYM model-based vision system. " In Proceedings of the 6th International Joint Conference on Artificial Intelligence (1979): 105-113. [PDF]
Fischler, Martin A., and Robert A. Elschlager. "The representation and matching of pictorial structures." IEEE Transactions on Computers 22.1 (1973): 67-92. [PDF]
Lowe, David G., "Three-dimensional object recognition from single two-dimensional images," Artificial Intelligence, 31, 3 (1987), pp. 355-395. [PDF]
Shi, Jianbo, and Jitendra Malik. "Normalized cuts and image segmentation." Pattern Analysis and Machine Intelligence, IEEE Transactions on 22.8 (2000): 888-905. [PDF]
Viola, Paul, and Michael Jones. "Rapid object detection using a boosted cascade of simple features." Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on. Vol. 1. IEEE, 2001. [PDF]
Lowe, David G. "Distinctive image features from scale-invariant keypoints." International Journal of Computer Vision 60.2 (2004): 91-110. [PDF]
Lazebnik, Svetlana, Cordelia Schmid, and Jean Ponce. "Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories." Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on. Vol. 2. IEEE, 2006. [PDF]
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 46 |
|
Dalal, Navneet, and Bill Triggs. "Histograms of oriented gradients for human detection." Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on. Vol. 1. IEEE, 2005. [PDF]
Felzenszwalb, Pedro, David McAllester, and Deva Ramanan. "A discriminatively trained, multiscale, deformable part model." Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on. IEEE, 2008 [PDF]
Everingham, Mark, et al. "The pascal visual object classes (VOC) challenge." International Journal of Computer Vision 88.2 (2010): 303-338. [PDF]
Deng, Jia, et al. "Imagenet: A large-scale hierarchical image database." Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on. IEEE, 2009. [PDF]
Russakovsky, Olga, et al. "Imagenet Large Scale Visual Recognition Challenge." arXiv:1409.0575. [PDF]
Lin, Yuanqing, et al. "Large-scale image classification: fast feature extraction and SVM training." Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on. IEEE, 2011. [PDF]
Krizhevsky, Alex, Ilya Sutskever, and Geoffrey E. Hinton. "Imagenet classification with deep convolutional neural networks." Advances in neural information processing systems. 2012. [PDF]
Szegedy, Christian, et al. "Going deeper with convolutions." arXiv preprint arXiv:1409.4842 (2014). [PDF]
Simonyan, Karen, and Andrew Zisserman. "Very deep convolutional networks for large-scale image recognition." arXiv preprint arXiv:1409.1556 (2014). [PDF]
He, Kaiming, et al. "Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition." arXiv preprint arXiv:1406.4729 (2014). [PDF]
LeCun, Yann, et al. "Gradient-based learning applied to document recognition." Proceedings of the IEEE 86.11 (1998): 2278-2324. [PDF]
Fei-Fei, Li, et al. "What do we perceive in a glance of a real-world scene?." Journal of vision 7.1 (2007): 10. [PDF]
Fei-Fei Li & Andrej Karpathy & Justin Johnson
| Lecture 1 - 47 |
|


The Replacement Killers A film review by Frank Ochieng
starring: Chow Yun-Fat, Mira Sorvino Director: Antoine Fuqua
Antoine Fuqua, noted music video director, supplies the action in his latest action thriller cleverly called THE REPLACEMENT KILLERS. This flashy, action-packed flick comes with some notable performers: top Asian star Chow Yun-Fat and Oscar-winning actress Mira Sorvino. THE REPLACEMENT KILLERS is your typical kinetic-kicking, bullet-bouncing, danger-dodging, Hong Kong-oriented thriller that has the legs but never manages to run with what you would expect a distinctive action piece such as this deserves.
Yun-Fat, who obviously is testing his stardom status here in the U.S. just like his fellow Asian action stars Jackie Chan and Michelle Yeoh, plays a wayward assassin from China sent to the United States to complete a "hit" but his heart isn't in the right mode to do so. As a result, Yun-Fat is stuck in the country and his only way of escaping is to utilize the services of Sorvino's document forger. Together, they scamper through chaotic crazy situations while shooting up the joint left and right. There are some devastatingly dangerous yet dandy stunts plus both stars come off as more clever and keen than what is actually believed given their involvement in these sensational situ- ations. However, you never really get to see any enthusiasm or robust reaction to action hero Yun-Fat's character. He seems remote and more like a shoot 'em up robot. He doesn't seem to possess the campy high- flying enjoyment like his action counterpart Jackie Chan does in his movies. And the duo of Yun-Fat and Sorvino doesn't really click on screen...their dynamic duo routine somehow doesn't register in the compatibility department.
THE REPLACEMENT KILLERS is indeed a crafty and catchy title for a thriller. But this movie never lives up to its exciting name. Maybe it is because this film's motivation is from an American music video director in that of Fuqua who simply lacks the intense, atmospheric slap-happy exuberance from that of Asian directors like John Woo or Stanley Tong who can satisfy the needs of the Hong Kong-style action genre. THE REPLACEMENT KILLERS ands its main star Chow Yun-Fat both have the potential as a breakout hit and star in the U.S. respectively but this vehicle needs to be driven by someone with more charisma and character. A fair action thriller is offered here but what a difference this movie would make from merely being fair to that of being a fist-full-of-frenzied fun. A mild recommendation at best.
Frank rates it: ** stars
Frank Ochieng
<EMAIL_ADDRESS>http://www.vgt.com/atmovies.html
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


This is the Cookie Policy for Am I Responsive?, accessible from https://ami.reatlat.net
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A client for 'AWS Translate' <https://aws.amazon.com/documentation/translate>, a machine translation service that will convert a text input in one language into a text output in another language.
| Version: | 0.1.3 |
| Imports: | httr, jsonlite, aws.signature (≥ 0.3.4) |
| Published: | 2018-04-12 |
| Author: | Thomas J. Leeper [aut, cre] |
| Maintainer: | Thomas J. Leeper <thosjleeper at gmail.com> |
| BugReports: | https://github.com/cloudyr/aws.translate/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/cloudyr/aws.translate |
| NeedsCompilation: | no |
| Citation: | aws.translate citation info |
| Materials: | README NEWS |
| CRAN checks: | aws.translate results |
| Reference manual: | aws.translate.pdf |
| Package source: | aws.translate_0.1.3.tar.gz |
| Windows binaries: | r-devel: aws.translate_0.1.3.zip, r-release: aws.translate_0.1.3.zip, r-oldrel: aws.translate_0.1.3.zip |
| OS X binaries: | r-release: aws.translate_0.1.3.tgz, r-oldrel: aws.translate_0.1.3.tgz |
Please use the canonical form https://CRAN.R-project.org/package=aws.translate to link to this page.


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--- layout: page title: Getting Started! ---
Ensure you have installed Blaze CSS before using the components.
Note! We're still working on this site, this in page in particular is outdated:
only the direct links to rg.js
and rg.min.js
are current. We've yet to update the NPM and CDN links. Mea Culpa. If you find other issues with the web site
please let us know here
RiotGear is hosted by JSDelivr
» https://cdn.jsdelivr.net/riotgear/{{ site.version }}/rg.min.js (v{{ site.version }})
» https://cdn.jsdelivr.net/riotgear/latest/rg.min.js (latest)
<script src="https://cdn.jsdelivr.net/riotgear/latest/rg.min.js"></script>
RiotGear has been published to NPM.
npm install riotgear --save
Or alternatively:


Counter, by Alles.
Counter is a service by Alles that allows you to use one line of code to view and count visits in the last 24 hours. It's just an image, with an id that you can make whatever you want. No API keys, no registration, just an img tag.
<img src="https://counter.alles.cx/"
/>
The id can be any string under 16 characters, and the image will show how many times that specific id has been seen. It just works.
You could use it on your website, in an email, or in a discord channel. If you wanted, you could hide the image on your site. Counter is simple, privacy-friendly and versatile.
FAQ
What data does Counter collect?
The only data counter collects is the user's IP address, which we store in order to prevent abuse. Counter aims to store as little data as possible, so it's very privacy-friendly. You don't even have to sign in to use it.
How long will you store the visitor count?
Counter stores requests indefinitely. The counter only displays the amount of requests within the last 24 hours. Information about individual requests is not publically accessible.
Can I use the same Counter across sites?
Sure! There are no restrictions on where the counter can be placed, and you can simply use the same code for multiple counter images. We have CORS enabled on the image endpoint.
Can I get my site's visitor count in plain text?
Sure, just add ?text to the normal image url. Like the image, this will also add to your count, and it is ratelimited.
How can I reset my site's counter?
Simply use a different id. If you are recieving spam requests, unfortunately, there isn't much we can do for now, because there is no site verification.
What happens if I try to abuse this service?
If you attempt to carry out a DoS attack, or spam the database, your IP will be blocked and potentially added to the Alles blocklist, which means that your network will be unable to access most services we offer.
How long will this service exist/be free?
We plan to keep this service online as long as we can, and it will be free forever. It's a useful tool that we think everybody should be able to use.
Can I host this myself?
Sure! It's all open-source on GitHub, so you can download and host it yourself, or even propose some changes.
Who made this?
Me, Archie Baer! I run Alles, and I'm @archie over there. You can contact me via email or Twitter. If you want a really speedy response, you could also join the Alles discord server.
How can I support the project?
If you appreciate the projects that I'm making, you can support them by getting Alles+. For a low monthly fee, you get tons of benefits across the Alles platform, and it helps to cover the server fees.
Made with ♥ by Alles.


Parent class of all script classes used for custom asserts (usually ‘soft’ asserts) and shared fixture setup and teardown
Default setup method for all scripts. Connects either to the RC server configured in conf/selenium.ini or to Sauce Labs OnDemand
Default teardown method for all scripts. If run through Sauce Labs OnDemand, the job name, status and tags are updated. Also the video and server log are downloaded if so configured.
‘Soft’ assert for checking whether two things are equal
Singleton reference to the config information
Checks whether the server is running on localhost:4444 (the defaults)
| Returns: | Boolean |
|---|
Starts the included server and writes out the pid
Stops the process in the selenium server’s pid file.


Writing about things
A long time ago one of my managers told me “you should write a blog!”… I dismissed the idea back then mainly because I did not like following the trends and I did not want to make another Wordpress site on the internet…
But yesterday late night while browsing memes on 9gag I came across this picture of a Japanese girl band whose name did not come to my mind…
It bothered very much me because I remember having seen their live performance during Rockavaria festival in 2015.
While I did spend about 15 minutes on this topic I realized I tend to forget a lot of other things lately and that got me scared a little. Because of that I have decided to create such posts to remind myself of such things in the future.
If you think I should write about our memories too then send me a message!
Sincerely, Istvan


Agriculture stakeholders meeting scheduled for Dodoma next week
by James KandoyaTHE Agricultural Non State Actors Forum (ANSAF) has organised the Annual Learning and Sharing Experience Event (ALE) 2019 to highlight opportunities and ways on how to utilise them for creation of employment.
Speaking to reporters in Dar es Salaam yesterday, ANSAF Executive Director, Audax Rukonge said the event which will attract 100 participants from different agricultural sectors will be held next week in the country’s capital—Dodoma.
Themed “The Alarming Danger and Opportunities of Climate Change to The Agriculture Sector: Are We Ready?” the meeting will discuss on how the 56 percent of agricultural raw materials can be properly utilised.
According to Rukonge there are various investment opportunities in the agriculture sector which includes production of drought resistant seed varieties, manufacturing of storage facilities and establishment of agro- processing factories.
“ALE aims to showcase and highlight the alarming danger and opportunities of climate change to agriculture. Participants are also expected to look into policy options to allow fully utilisation of agricultural opportunities as well as mitigating climate change,” he noted insisting the need for private sector participation.
He was optimistic that participation of the private sector and financial resources institutions would facilitate investment in the sector especially invention of technology.
“We need to invest in rain water harvesting technologies to help farmers irrigate farms. This will ensure food security as well as drinking water for animals,” he said.
He said ANSAF has since 2006 been promoting learning and sharing among agricultural stakeholders. The events, he said, have facilitated adaptation of various approaches that supports development of the agriculture sector.


Module: Gemmy::Components::Nlp
- Defined in:
- lib/gemmy/components/nlp.rb
Instance Method Summary collapse
- #default_noun_proc_string(word) ⇒ Object
- #default_verb_proc_string(word) ⇒ Object
-
#engtagger_lookup(sentence) ⇒ Object
This uses EngTagger to analyze a sentence The results will not be ambiguous; in this method's results, a given word with either be 'verb', 'noun', or 'unknown'.
- #finalize_engtagger_pos(pos) ⇒ Object
-
#finalize_pos(word, pos) ⇒ Object
Compare WordPos and Engtagger results and save to proc if found only prioritize Engtagger if WordPos is missing.
- #finalize_wordpos_pos(pos) ⇒ Object
-
#log_sentence(sentence) ⇒ Object
Adds words in sentence to application database The part of speech is identified by the DB Name Each entry is a word => proc mapping.
- #parse_sentence(sentence) ⇒ Object
- #save_noun_proc(word) ⇒ Object
- #save_proc(final_pos, word) ⇒ Object
- #save_verb_proc(word) ⇒ Object
-
#sentence_cache ⇒ Object
Engtagger evaluates POS in the context of a sentence So from that perspective, only entire sentences can be cached.
- #setup_lexicons ⇒ Object
-
#tag_sentence(sentence) ⇒ Object
Uses the Ruby EngTagger tool to find parts of speech of a sentence.
-
#word_pos_cache ⇒ Object
This cache reduces the call rate of the WordPos shell util by caching the POS for individual words.
- #wordpos_lookup(word) ⇒ Object
Instance Method Details
#default_noun_proc_string(word) ⇒ Object
126 127 128 129 130 |
# File 'lib/gemmy/components/nlp.rb', line 126 def default_noun_proc_string(word) <<-Ruby.strip_heredoc ->(vn_phrases){ "#{word}" } Ruby end |
#default_verb_proc_string(word) ⇒ Object
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# File 'lib/gemmy/components/nlp.rb', line 132 def default_verb_proc_string(word) <<-Ruby.strip_heredoc ->(*nouns){ "#{word} \#{nouns.join " "}" } Ruby end |
#engtagger_lookup(sentence) ⇒ Object
This uses EngTagger to analyze a sentence The results will not be ambiguous; in this method's results, a given word with either be 'verb', 'noun', or 'unknown'.
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# File 'lib/gemmy/components/nlp.rb', line 141 def engtagger_lookup sentence nouns, verbs = tag_sentence(sentence) sentence.words.graph do |word| pos = case word when ->(w){ verbs.include? w } "verb" when ->(w){ nouns.include? w } "noun" else "unknown" end [word, [pos]] end end |
#finalize_engtagger_pos(pos) ⇒ Object
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# File 'lib/gemmy/components/nlp.rb', line 85 def finalize_engtagger_pos(pos) # If the WordPos definition isn't found, then there's no ambiguity if pos.include?("noun") "noun" elsif pos.include?("verb") "verb" else "unknown" end end |
#finalize_pos(word, pos) ⇒ Object
Compare WordPos and Engtagger results and save to proc if found only prioritize Engtagger if WordPos is missing
72 73 74 75 76 77 78 79 80 81 82 83 |
# File 'lib/gemmy/components/nlp.rb', line 72 def finalize_pos word, pos final_pos = word_pos_cache.get_or_set(word) do doublecheck = wordpos_lookup(word) if ['noun', 'verb'].none? &doublecheck.m(:include?) finalize_engtagger_pos(pos) else finalize_wordpos_pos(pos) end end save_proc(final_pos, word) { word: word, pos: [final_pos] } end |
#finalize_wordpos_pos(pos) ⇒ Object
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# File 'lib/gemmy/components/nlp.rb', line 96 def finalize_wordpos_pos(pos) # WordPos returns ambiguous results. # Only unambiguous words are selected. # I.e. a noun|verb isn't saved. # It must be solely noun or verb. if pos.include?("noun") && !pos.include?("verb") "noun" elsif pos.include?("verb") && !pos.include?("noun") "verb" else "unknown" end end |
#log_sentence(sentence) ⇒ Object
Adds words in sentence to application database The part of speech is identified by the DB Name Each entry is a word => proc mapping.
Noun procs are passed all vn_phrases for the sentence (these are constructed by parse_sentence)
The Verb procs are passed the evaluated results of the Noun procs in its Verb-Noun phrase (as sequential arguments)
For example, if the phrase is “live well and flourish” Then (assuming the
Although EngTagger extracts POS for the words in a sentence, these classifications are context-dependent.
For this reason, words are also looked up using WordPos. Only umambiguous words are added to the grammar.
62 63 64 65 66 67 68 |
# File 'lib/gemmy/components/nlp.rb', line 62 def log_sentence sentence sentence_cache.get_or_set(sentence) do engtagger_lookup(sentence).map do |word, pos| finalize_pos(word, pos) end end end |
#parse_sentence(sentence) ⇒ Object
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# File 'lib/gemmy/components/nlp.rb', line 6 def parse_sentence sentence setup_lexicons log_sentence sentence begin SentenceInterpreter.interpret sentence rescue NounBeforeVerbError [] end end |
#save_noun_proc(word) ⇒ Object
118 119 120 |
# File 'lib/gemmy/components/nlp.rb', line 118 def save_noun_proc word NounLexicon.set word.to_sym, default_noun_proc_string(word) end |
#save_proc(final_pos, word) ⇒ Object
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# File 'lib/gemmy/components/nlp.rb', line 110 def save_proc(final_pos, word) if final_pos.include?("noun") save_noun_proc(word) elsif final_pos.include?("verb") save_verb_proc word end end |
#save_verb_proc(word) ⇒ Object
122 123 124 |
# File 'lib/gemmy/components/nlp.rb', line 122 def save_verb_proc word VerbLexicon.set word.to_sym, default_verb_proc_string(word) end |
#sentence_cache ⇒ Object
Engtagger evaluates POS in the context of a sentence So from that perspective, only entire sentences can be cached
158 159 160 |
# File 'lib/gemmy/components/nlp.rb', line 158 def sentence_cache @sentence_cache ||= Gemmy::Components::Cache.new "sentence_pos" end |
#setup_lexicons ⇒ Object
16 17 18 19 20 21 22 23 24 25 26 27 |
# File 'lib/gemmy/components/nlp.rb', line 16 def setup_lexicons return if @lexicon_set_up Object.send :remove_const, "VerbLexicon" Object.send :remove_const, "NounLexicon" Object.send(:const_set,"VerbLexicon", Gemmy::Components::Cache.new( "verb_lexicon" )) Object.send(:const_set,"NounLexicon", Gemmy::Components::Cache.new( "noun_lexicon" )) @lexicon_set_up = true end |
#tag_sentence(sentence) ⇒ Object
Uses the Ruby EngTagger tool to find parts of speech of a sentence
Returns a hash with :verbs and :nouns keys (vals are arrays)
34 35 36 37 38 39 40 41 |
# File 'lib/gemmy/components/nlp.rb', line 34 def tag_sentence sentence @tagger ||= EngTagger.new res = @tagger.(sentence).ergo do |tagged| nouns = @tagger.get_nouns(tagged)&.keys || [] verbs = @tagger.get_verbs(tagged)&.keys || [] [nouns, verbs] end end |
#word_pos_cache ⇒ Object
This cache reduces the call rate of the WordPos shell util by caching the POS for individual words.
164 165 166 |
# File 'lib/gemmy/components/nlp.rb', line 164 def word_pos_cache @pos_cache ||= Gemmy::Components::Cache.new("word_pos") end |
#wordpos_lookup(word) ⇒ Object
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# File 'lib/gemmy/components/nlp.rb', line 168 def wordpos_lookup(word) default_result = ['unknown'] result = [] word = word.strip.gsub(/[^a-zA-z]/, '') return default_result if word.empty? pos_response = JSON.parse `coffee -e "#{Gemmy::Coffee}" pos #{word}` result << "verb" unless pos_response["verbs"].empty? result << "noun" unless pos_response["nouns"].empty? result.empty? ? default_result : result end |


Automatic redirection failed, please go to
doc/html/index.html
Boost.Compute
Copyright (C) 2013-2015 Kyle Lutz
Distributed under the Boost Software License, Version 1.0. (See
accompanying file LICENSE_1_0.txt or copy at
http://www.boost.org/LICENSE_1_0.txt)


{% extends "layout.html" %} {% block content %}
This website allows you to visualize data that is uploaded through the API to assist in distributed collection of driving footage. The website shows a markers indicating where data was uploaded. When selected, the image captured, latitude, longitude, and objects detected will be displayed.
Below are the sequence diagrams for the functionality of the website and APIs.
See the API Reference for how to upload your own data. API Reference
This project was created under the scope of ECE 528 Cloud Computing at the University of Michigan-Dearborn. The website, API, databases, and uploader were created by Tristan Steiner, Michael Bowyer and Kenny Topolovec. The cloud tools were developed under an AWS Educate account and utilize AWS services.


Overview
A NeoMem file consists of objects of different types, or "classes", arranged in a hierarchy. Each object can contain any number of other objects.
A folder is just an object of the folder class. It is generally used to organize a file and contain other objects.
Click on a topic below for more information:


This service is just a simple decorator for $timeout service that adds a "flush" and "verifyNoPendingTasks" methods.
flush([delay]);
Flushes the queue of pending tasks.
This method is essentially an alias of $flushPendingTasks
.
$timeout
pending tasks, such as
$q
promises and tasks scheduled via
$applyAsync and
$evalAsync.
This method flushes all types of tasks (not only timeouts), which is unintuitive.
It is recommended to use $flushPendingTasks
instead.
| Param | Type | Details |
|---|---|---|
|
delay
(optional)
|
number |
maximum timeout amount to flush up until |
verifyNoPendingTasks();
Verifies that there are no pending tasks that need to be flushed. It throws an error if there are still pending tasks.
This method is essentially an alias of $verifyNoPendingTasks
(called with no
arguments).
For historical reasons, this method will also verify non-$timeout
pending tasks, such as
pending $http
requests, in-progress $route
transitions, unresolved
$q
promises and tasks scheduled via
$applyAsync and
$evalAsync.
It is recommended to use $verifyNoPendingTasks
instead, which additionally
supports verifying a specific type of tasks. For example, you can verify there are no
pending timeouts with $verifyNoPendingTasks('$timeout')
.
This method takes all types of tasks (not only timeouts) into account, which is unintuitive.
It is recommended to use $verifyNoPendingTasks
instead, which additionally
allows checking for timeouts only (with $verifyNoPendingTasks('$timeout')
).


A verified badge is a check that appears next to an Instagram acccount's name in search and on the profile. It means that Instagram has confirmed that this is the authentic account for the public figure, celebrity or global brand it represents.
Accounts representing well-known figures and brands are verified because they have a high likelihood of being impersonated. We want to make sure that people in the Instagram community can easily find the authentic people and brands they want to follow.


|
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object algorithm.AlgorithmBase
public class AlgorithmBase
This contains the main method that runs the entire GP algorithm.
| Field Summary | |
|---|---|
protected int |
BIN_WIDTH
|
protected int |
BROOD_SIZE
|
protected int |
ELITE
|
protected Equalizer |
equalizer
|
protected java.lang.String |
EQUALIZER
|
protected FitnessFunction |
fitness
|
protected java.lang.String |
FITNESS
|
protected java.util.List<java.lang.String> |
FUNC_SET
|
protected Initialize |
initialize
|
protected java.lang.String |
INITIALIZE
|
protected Mutate |
mutate
|
protected java.lang.String |
MUTATE
|
protected double |
MUTATION_RATE
|
protected int |
NUM_GENS
|
protected int |
PNORM
|
protected Population |
pop
Pointer to the last complete population generated by the algorithm, which is used to generate (via genetic operators) the next generation of individuals |
protected int |
POP_SIZE
|
protected java.lang.String |
PROBLEM
|
protected int |
PROBLEM_SIZE
|
protected java.lang.String |
PROBLEM_TYPE
|
protected java.lang.String |
QUINTIC
|
protected MersenneTwisterFast |
rand
|
protected Select |
select
|
protected java.lang.String |
SELECT
|
protected java.util.List<java.lang.String> |
TERM_SET
|
protected int |
TOURNEY_SIZE
|
protected int |
TREE_INITIAL_MAX_DEPTH
|
protected int |
TREE_MUTATE_MAX_DEPTH
|
protected int |
TREE_XOVER_MAX_DEPTH
|
protected int |
TREE_XOVER_TRIES
|
static boolean |
VERBOSE
|
protected Crossover |
xover
|
protected java.lang.String |
XOVER
|
protected double |
XOVER_RATE
|
| Constructor Summary | |
|---|---|
AlgorithmBase()
Empty constructor, to allow subclasses to override |
|
AlgorithmBase(java.util.Properties props,
long seed)
Create an instance of the algorithm. |
| Method Summary | |
|---|---|
java.lang.String |
calculateStats()
calculate some useful statistics about the current generation of the population |
protected void |
create_operators(long seed)
|
protected void |
create_operators(long seed,
Data d_in)
Create all the operators from the loaded params. |
boolean |
done(double fitness)
|
protected Population |
elitism()
Run standard elitism function. |
protected void |
loadParams(java.util.Properties props)
Read parameters from the Property object and set Algorithm variables. |
static java.util.Properties |
loadProps(java.lang.String propFile)
|
static void |
main(java.lang.String[] args)
|
Individual |
run_population()
Run the current population for the specified number of generations. |
Individual |
step()
This is the heart of the algorithm. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
|---|
public static final boolean VERBOSE
protected double MUTATION_RATE
protected double XOVER_RATE
protected int ELITE
protected int TOURNEY_SIZE
protected int POP_SIZE
protected int NUM_GENS
protected int BIN_WIDTH
protected java.lang.String QUINTIC
protected java.lang.String PROBLEM
protected java.lang.String PROBLEM_TYPE
protected int PROBLEM_SIZE
protected java.util.List<java.lang.String> FUNC_SET
protected java.util.List<java.lang.String> TERM_SET
protected int TREE_INITIAL_MAX_DEPTH
protected int TREE_MUTATE_MAX_DEPTH
protected int TREE_XOVER_MAX_DEPTH
protected int TREE_XOVER_TRIES
protected int BROOD_SIZE
protected int PNORM
protected java.lang.String MUTATE
protected java.lang.String FITNESS
protected java.lang.String SELECT
protected java.lang.String INITIALIZE
protected java.lang.String EQUALIZER
protected java.lang.String XOVER
protected Population pop
protected MersenneTwisterFast rand
protected Crossover xover
protected Select select
protected Mutate mutate
protected FitnessFunction fitness
protected Initialize initialize
protected Equalizer equalizer
| Constructor Detail |
|---|
public AlgorithmBase(java.util.Properties props, long seed)
run_population()
to actually
run the population for the specified number of generations.
If an invalid operator type is specified, then the program will
terminate, indicating which parameter is incorrect.
props
- Properties object created from a .properties file specifying
parameters for the algorithmseed
- A seed to use for the RNG. This allows for repeating the same
trials over again.public AlgorithmBase()
| Method Detail |
|---|
protected void loadParams(java.util.Properties props)
protected void create_operators(long seed)
protected void create_operators(long seed, Data d_in)
seed
- d_in
- protected Population elitism()
elite
parameter.
ELITE
of the top individuals in the
current pop
public Individual step() throws GPException
pop
forward one generation
Basically while we still need to produce offspring, we select an
individual (or two) as parent(s) and perform a genetic operator, chosen
at random according to the parameters, to apply to the parent(s) to
produce children. Then evaluate the fitness of the new child(ren) and if
they are accepted by the equalizer, add them to the next generation.
GPException
- if any of the operators receive a individual with an
unexpected genotype, this is an error.public Individual run_population()
public boolean done(double fitness)
public static java.util.Properties loadProps(java.lang.String propFile)
public static void main(java.lang.String[] args)
public java.lang.String calculateStats()
|
|||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | ||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


My mission in life is not merely to survive, but to thrive; and to do so with some passion, some compassion, some humor, and some style. -Maya Angelou
About Me
Hey! My name is Joyce Ngamau
I'm a Moringa Prep Student. I love everything ART!!My hobbies include drawing, reading novels, singing in the shower(waiting to be discovered) and watching movies :)
I decided to take this class because I was very interested in learning it and believe that it is a basic skill that anyone in IT should know
Portfolio
Here is one of the projects I have worked on.
It's a basic skeleton website for a Cupcake Shop
Contact Me
That's all for now if you want to get in touch here are my links
© Joyce Ngamau 2017


Register Application
Copy the URL for registering Data Integration with User Management Server
Please enter the below detail to conforming registration
with User Management Server
UMS base address
Client id
Client secret
Please verify the details you have entered
Please select the Admin for Data Integration Registry
Restarting Registry Service to enable security.It may take 3-5 mins...
Secured Registry Service URL


Intens can be used to perform an operation between different applications or activities.
It is basically a passive data structure holding an abstract description of an action to be performed.
package name and class name can specify the intent target, but you can also leave them null and define a category instead to let the user choose an application of that categoy.
If you expect a callback you have to pass the
-1: operation succeeded
1: user-defined activity results
0: operation canceled
You can find some common used examples for that in the DroidScript Wiki
For more information visit the Android Developer Page. There you can find informations about the activity, category and extra.
See Also: GetIntent


| I l@ve RuBoard |
The File Transfer Protocol (FTP) transfers files across a network. The Python module ftplib supports this protocol. An FTP server program is run on a computer client computers can connect to. The client computer sendsty5e transfer is initiated, a new connection exclusively for the data is established between the client and the server.
The ftplib module is used in much the same way as the httplib module: a single class, FTP, provides all of the functionality.
The FTP protocol supports a variety of commands, which include such operations as logging in, navigating the filesystem, and retrieving directory listings. Let's create an FTP session:
>>> import ftplib >>> ftp = ftplib.FTP('ftp.python.org') # connect to host, default port >>>
Log on as an anonymous user:
>>> ftp.login('anonymous'<EMAIL_ADDRESS>"230-WELCOME to python.org, the Python programming language ..." >>>
Get a directory listing:
>>> ftp.retrlines('LIST') # list directory contents total 38 drwxrwxr-x 11 root 4127 512 Aug 28 20:23 . ... -r--r--r-- 1 klm 1000 764 Aug 25 19:32 welcome.msg '226 Transfer complete.'
Notice there's a file welcome.msg: let's download the file. Open a local file and indicate its write method should be called to store the data:
>>> file=open("welcome.msg", "w") >>> ftp.retrlines("retr welcome.msg", file.write) '226 Transfer complete.' >>> file.close()
Now reopen the file and print the data:
>>> open("welcome.msg", "r").read() "WELCOME to python.org, the Python programming language home site. ..." >>>
To retrieve a binary file (such as an executable), you could use the method retrbinary() ; it takes the same methods as retrlines() , except it also allows you to specify a block size for the transfer. In this case you should remember to open the file itself in binary mode, as discussed in Chapter 3.
| I l@ve RuBoard |


This release of Saxon implements the full XPath 2.0 grammar as defined in the working draft of 12 November 2003, with changes to operator precedences agreed subsequently in response to public comments.
The known restrictions in XPath 2.0 support include the following:
Saxon supports all the built-in data types with the exception of xs:NOTATION.
Casting of a string to a QName is not supported, except when an explicit cast or constructor function is used in an XSLT environment.
The state of implementation of all the standard functions is as described in functions.html
Support for the type xs:duration
goes beyond what the specification allows.
Ordering is implemented as a total order over all durations, based on the average length of a month
(one year = 365.242199 days).
The error codes defined in the specification are not used.
The construct document-node(element(N, T))
is not supported within
an AxisStep
In the construct element(N, T)
or element(*, T)
the optional
question mark after the type name (previously the keyword "nillable") is not supported.
The construct SchemaContextPath
is not implemented. In fact, the
working groups have decided to remove this construct.
The syntax for SequenceTypes incorporates some changes agreed by the W3C Working Groups but
not yet published. Specifically, element(N)
matches any element named N whether or not
N is declared in a schema; element(*)
matches any element; element(N, T)
matches any element named N whose type annotation is T, where T is a simple or global type defined in
a schema, or a built-in type; schema-element(N)
matches an element
whose name is N, or a name in the substitution group of N, where N is a global element declaration
in the schema, and whose type matches the type of this global element. And similarly for attributes.


| Platform | Since |
|---|---|
| iPhone | 3.3.0 |
| iPad | 3.3.0 |
Allows Titanium client applications to access Apple's CoreMotion APIs.
The Core Motion module provides access to Apple's CoreMotion APIs. The Core Motion module provides support for monitoring various hardware sensors on iOS devices, such as the accelerometer, gyroscope, and magnetometer. The Core Motion module allows you to access the metrics provided by these sensors.
For instruction and examples of using the Core Motion Module, see the Core Motion Module guide.
This module only works with devices running iOS 7. Not all devices have the same hardware sensors, so all features may not be available for all devices. Be sure to use the API to check the device for the existence of a feature.
You can only test the Core Motion module on a device. The Core Motion API cannot be tested on the iOS simulator.
Some features may require permission to use "Motion Activity". iOS requires the user's approval to use the "Motion Activity" permission. When the application uses the Core Motion API for the first time, iOS prompts the user to either approve or deny access to the Core Motion features of the device. The user can change the permission settings with Settings > Privacy.
Once you have installed the module and added it as a depedency,
use require()
to access it from JavaScript:
var CoreMotion = require("ti.coremotion");
The CoreMotion
variable is a reference to the Module object. Use this reference to make
subsequent calls to the CoreMotion Module API.
// This code checks to see if the device can gather step counting data
if (CoreMotion.isStepCountingAvailable()) {
// If it can, it starts the step counter and outputs the data to the console
CoreMotion.startStepCountingUpdates({stepCounts: 1}, function(e){
Ti.API.info(JSON.stringify(e.numberOfSteps));
});
} else {
Ti.API.warn('This device does not support counting steps.');
}
The module ZIP file contains two Core Motion sample applications (examples/Basic and examples/DeviceMotion).
Describes the same reference frame as
Modules.CoreMotion.ATTITUDE_REFERENCE_FRAME_X_ARBITRARY_Z_VERTICAL
except that the magnetometer, when available and calibrated, is used to
improve long-term yaw accuracy. Using this constant instead of
Modules.CoreMotion.ATTITUDE_REFERENCE_FRAME_X_ARBITRARY_Z_VERTICAL
results in increased CPU usage.
Describes a reference frame in which the Z axis is vertical and the X axis points in an arbitrary direction in the horizontal plane.
Describes a reference frame in which the Z axis is vertical and the X axis points toward magnetic north. Note that using this reference frame may require device movement to calibrate the magnetometer.
Describes a reference frame in which the Z axis is vertical and the X axis points toward true north. Note that using this reference frame may require device movement to calibrate the magnetometer. It also requires the location to be available in order to calculate the difference between magnetic and true north.
The device must move for a sampling of motion data to occur.
An invalid parameter was specified.
The app is not currently authorized to use motion activity support.
Motion activity support is not available on the current device.
The app is missing a required entitlement.
No error.
True north is not available on this device. This usually indicates that the device's location is not yet available.
An unknown error occurred.
The accuracy of the magnetic field calibration is high.
The accuracy of the magnetic field calibration is low.
The accuracy of the magnetic field calibration is medium.
The magnetic field estimate is not calibrated.
Confidence is high.
Confidence is low.
Confidence is good.
The name of the API that this proxy corresponds to.
The value of this property is the fully qualified name of the API. For example, Button
returns Ti.UI.Button
.
Returns a bitmask specifying the available attitude reference frames on the device.
A bitmask that you can bitwise-AND with the ATTITUDE_REFERENCE
constants.
For example to determine if ATTITUDE_REFERENCE_FRAME_X_MAGNETIC_NORTH_Z_VERTICAL
is available on device.
var frames = CoreMotion.availableAttitudeReferenceFrames();
if (frames & CoreMotion.ATTITUDE_REFERENCE_FRAME_X_MAGNETIC_NORTH_Z_VERTICAL) {
// do something here
}
Returns the latest sample of accelerometer data.
An app that is receiving accelerometer data after calling
Modules.CoreMotion.startAccelerometerUpdates
with no callback, needs to periodically
check the value returned by this method and process the acceleration data.
Gets the value of the apiName property.
Returns either the reference frame currently being used or the default attitude reference frame.
If device motion is active, this property returns the reference frame currently in use.
If device motion is not active but has been active since the app was last launched,
this property returns the last frame used. If device motion has not been active since
the app was last launched, this property returns the default attitude reference frame
for the device.
Possible reference frames include
Modules.CoreMotion.ATTITUDE_REFERENCE_FRAME_X_ARBITRARY_Z_VERTICAL
,
Modules.CoreMotion.ATTITUDE_REFERENCE_FRAME_X_ARBITRARY_CORRECTED_Z_VERTICAL
,
Modules.CoreMotion.ATTITUDE_REFERENCE_FRAME_X_MAGNETIC_NORTH_Z_VERTICAL
, and
Modules.CoreMotion.ATTITUDE_REFERENCE_FRAME_X_TRUE_NORTH_Z_VERTICAL
.
Returns the latest sample of device-motion data.
An app that is receiving device-motion data after calling
Modules.CoreMotion.startDeviceMotionUpdatesUsingReferenceFrame
or
Modules.CoreMotion.startDeviceMotionUpdates
with no callback, need to periodically
check the value returned by this method and process the device-motion data.
Returns the latest sample of gyroscope data.
An app that is receiving gyroscope data after calling
Modules.CoreMotion.startGyroUpdates
with no callback, needs to periodically
check the value returned by this method and process the gyroscope data.
Returns the latest sample of magnetometer data.
An app that is receiving magnetometer data after calling
Modules.CoreMotion.startMagnetometerUpdates
with no callback, needs to periodically
check the value returned by this method and process the magnetometer data.
Returns a Boolean indicating whether accelerometer updates are currently happening.
Indicates whether Modules.CoreMotion.startAccelerometerUpdates
has been called since
Modules.CoreMotion.stopAccelerometerUpdates
.
Returns a Boolean indicating whether an accelerometer is available on the device.
Returns a Boolean indicating whether motion activity data is available on the current device.
Returns a Boolean value that determines whether the app is receiving updates from the device-motion service.
Indicates whether Modules.CoreMotion.startDeviceMotionUpdates
or
Modules.CoreMotion.startDeviceMotionUpdatesUsingReferenceFrame
has been called since
Modules.CoreMotion.stopDeviceMotionUpdates
.
Returns a Boolean indicating whether device-motion is available on the device.
Returns a Boolean indicating whether gyroscope updates are currently happening.
Indicates whether Modules.CoreMotion.startGyroUpdates
has been called since
Modules.CoreMotion.stopGyroUpdates
.
Returns a Boolean indicating whether a gyroscope is available on the device.
Returns a Boolean indicating whether magnetometer updates are currently happening.
Indicates whether Modules.CoreMotion.startMagnetometerUpdates
has been called since
Modules.CoreMotion.stopMagnetometerUpdates
.
Returns a Boolean indicating whether a magnetometer is available on the device.
Returns a Boolean indicating whether step-counting support is available on the current device.
Gathers and returns historical motion activty data for the specified time period.
This method runs asynchronously, returning immediately and delivering the results
to the specified callback. The system stores only the last seven days worth of
activity data at most. If there are no samples for the specified range of time,
an error object with the code Modules.CoreMotion.ERROR_UNKNOWN
is passed to the
callback.
CoreMotionQueryActivityArgs
An object of arguments
CoreMotionActivityQueryDataWithSuccess
>
The callback to execute with the results.
Gathers and returns historical step count data for the specified time period.
The system stores only the last seven days worth of step data at most. If there are no samples for the specified range of time, a value of 0 is passed to the callback.
CoreMotionQueryStepCountArgs
An object of arguments
CoreMotionStepCountingQueryDataWithSuccess
>
The callback to execute with the results.
The interval in milliseconds, for providing accelerometer updates to the callback.
The interval in milliseconds
The interval in milliseconds, for providing device-motion updates to the callback.
The system supplies device-motion updates to the callback passed to
Modules.CoreMotion.startDeviceMotionUpdatesUsingReferenceFrame
or
Modules.CoreMotion.startDeviceMotionUpdates
at regular intervals
determined by the value passed to this method. The interval units
are in milliseconds. The value of this property is capped to minimum
and maximum values; the maximum value is determined by the maximum
frequency supported by the hardware. If your app is sensitive to the
intervals of device-motion data, it should always check the timestamps
of the delivered device-motion event to determine the true update interval.
The interval in milliseconds
The interval in milliseconds, for providing gyroscope updates to the callback.
The interval in milliseconds
The interval in milliseconds, for providing magnetometer updates to the callback.
The interval in milliseconds
Controls whether the device-movement display is shown.
When a device requires movement (for example, to calibrate the compass), the value of
this property indicates if the system's device-movement display should be shown.
When a device requires movement, the callback for
Modules.CoreMotion.setDeviceMotionUpdateInterval
or
Modules.CoreMotion.startDeviceMotionUpdatesUsingReferenceFrame
reports
the Modules.CoreMotion.ERROR_DEVICE_REQUIRES_MOVEMENT
error once. By default,
this is set to false.
Boolean indicating if the display should be shown
Starts accelerometer updates.
If a callback is passed to this method, it will be called whenever there is an update.
The frequency of these updates can be controlled using the
Modules.CoreMotion.setAccelerometerUpdateInterval
method.
If no callback is passed, the accelerometer data can be accessed using the
Modules.CoreMotion.getAccelerometerData
method.
CoreMotionAccelerometerDataWithSuccess
>
(optional)
The method to be called when there is an update.
Starts the delivery of current motion activity updates to your app.
This method initiates the tracking of motion data asynchronously. Upon calling this method, the motion activity manager executes the callback, reporting the current motion in effect for the device. After that, the motion activity manager executes the callback only when the motion data changes.
The callback is executed on a best effort basis and updates are not
delivered while your app is suspended. If updates arrived while your
app was suspended, the last update is delivered to your app when it
resumes execution. To get all of the updates that occurred while your
app was suspended, use the Modules.CoreMotion.queryActivity
method.
Upon starting activity updates, the motion activity manager reports
changes to its callback until you call the Modules.CoreMotion.stopActivityUpdates
method. If you call this method again with a new callback, the activity
manager stops delivering updates to the old callback and delivers them
to the new callback instead.
CoreMotionActivityData
>
The method to be called when there is an update.
Starts device-motion updates.
If a callback is passed to this method, it will be called whenever there is an update.
The frequency of these updates can be controlled using the
Modules.CoreMotion.setDeviceMotionUpdateInterval
method.
If no callback is passed, the device-motion data can be accessed using the
Modules.CoreMotion.getDeviceMotion
method.
CoreMotionDeviceMotionDataWithSuccess
>
(optional)
The method to be called when there is an update.
Starts device-motion updates using a reference frame.
If a callback is passed to this method, it will be called whenever there is an update.
The frequency of these updates can be controlled using the
Modules.CoreMotion.setDeviceMotionUpdateInterval
method.
If no callback is passed, the device-motion data can be accessed using the
Modules.CoreMotion.getDeviceMotion
method.
CoreMotionReferenceFrameArgs
The arguments passed to this method
CoreMotionDeviceMotionDataWithSuccess
>
(optional)
The method to be called when there is an update.
Starts gyroscope updates.
If a callback is passed to this method, it will be called whenever there is an update.
The frequency of these updates can be controlled using the
Modules.CoreMotion.setGyroUpdateInterval
method. If no callback is passed,
the gyroscope data can be accessed using the Modules.CoreMotion.getGyroData
method. You must call Modules.CoreMotion.stopGyroUpdates
when you no longer want your app
to process gyroscope updates.
CoreMotionGyroDataWithSuccess
>
(optional)
The method to be called when there is an update.
Starts magnetometer updates.
If a callback is passed to this method, it will be called whenever there is an update.
The frequency of these updates can be controlled using the
Modules.CoreMotion.setMagnetometerUpdateInterval
method. If no callback is passed,
the magnetometer data can be accessed using the Modules.CoreMotion.getMagnetometerData
method. You must call Modules.CoreMotion.stopMagnetometerUpdates
when you no longer want your app
to process magnetometer updates.
CoreMotionMagnetometerDataWithSuccess
>
(optional)
The method to be called when there is an update.
Starts the delivery of current step-counting data to your app.
This method initiates tracking of the user's steps and calls the callback periodically to deliver the results. When you call this method, the step counter resets the current step count value to 0 and begins counting. Each time the step counter records the number of steps in the stepCounts parameter, it executes the specified callback. For example, if stepCounts is 100, it would send updates at 100 steps, 200 steps, 300 steps, and so on. The number of steps reported to your handler is always the total number of steps since you called this method.
The callback is executed on a best effort basis each time the step count threshold is exceeded. If your app is suspended when the threshold is exceeded, the callback is not executed. When your app resumes, the callback is not executed until the threshold is exceeded again.
To stop the delivery of step-counting updates, call the
Modules.CoreMotion.stopStepCountingUpdates
method.
CoreMotionStartStepCountingArgs
An object of arguments
CoreMotionStepCountingDataWithSuccess
>
The callback to execute with the results.
Stops accelerometer updates.
Stops the delivery of motion activtiy updates to your app.
Stops device-motion updates.
Stops gyroscope updates.
Stops magnetometer updates.
Stops the delivery of step-counting updates to your app.
Call this method to stop the delivery of updates that you started by calling
the Modules.CoreMotion.startStepCountingUpdates
method. This method does not
stop queries started using the Modules.CoreMotion.queryStepCount
method.


Grumpy wizards make toxic brew for the evil Queen and Jack. One morning, when Gregor Samsa woke from troubled dreams, he found himself transformed in his bed into a horrible vermin.
Grumpy wizards make toxic brew for the evil Queen and Jack. One morning, when Gregor Samsa woke from troubled dreams, he found himself transformed in his bed into a horrible vermin. He lay on his armour-like back, and if he lifted his head a little he could see his brown belly, slightly domed and divided by arches into stiff sections.
Grumpy wizards make toxic brew for the evil Queen and Jack. One morning, when Gregor Samsa woke from troubled dreams, he found himself transformed in his bed into a horrible vermin. He lay on his armour-like back, and if he lifted his head a little he could see his brown belly, slightly domed and divided by arches into stiff sections. The bedding was hardly able to cover it and seemed ready to slide off any moment. His many legs, pitifully thin compared with the size of the rest of him, waved about helplessly as he looked.


servismsk
------ 7 7 ------
BOSCH
ARISTON
ELECTROLUX
INDESIT
SIEMENS
BOSCH
bosch-russia.gq
bosch-center.gq
bosch-center.cf
bosch-center.ga
something about Bosch
ARISTON
ariston-russia.gq
ariston-center.gq
ariston-center.cf
ariston-center.ga
something about Ariston
ELECTROLUX
electrolux-center.gq
electrolux-center.cf
electrolux-center.ga
something about Electrolux
INDESIT
indesit-center.gq
indesit-center.cf
indesit-center.ga
something about Indesit
SIEMENS
siemens-center.gq
siemens-center.cf
siemens-center.ga
something about Siemens


com.tailf.proto
Classes
ConfEAtom
ConfEBig
ConfEBinary
ConfEBoolean
ConfEByte
ConfEChar
ConfEDouble
ConfEFloat
ConfEInt
ConfEList
ConfELong
ConfEObject
ConfEPid
ConfERef
ConfEShort
ConfEString
ConfETuple
ConfEUInt
ConfEUShort
ConfExternal
ConfInputStream
ConfOutputStream
Exceptions
ConfEDecodeException
ConfEException
ConfERangeException


“This workshop is life-changing” - participant feedback, 2016
(Re)Claiming Sexuality is a supportive, sex-positive and affirming workshop series that can help you to gain insight, develop your sense of sexual agency and improve sexual communication.
Focussing each week on a different area of experience – including pleasure, fantasy, values, and relationships – you will get to know your sexuality more fully and have the chance to embrace your authentic sexual self.
Many of us are unsure of what we really desire, feel constrained by gender expectations and inherited values, or are healing from sexual trauma. Whether affected by these issues or simply curious to learn more, you are invited to nurture and (re)claim your sexuality!
Workshop format:
Each session includes short exercises designed to spark personal reflection, followed by longer periods of facilitated discussion. There is no obligation to disclose more than is comfortable, and, in addition to group exchange, there will be time for solo reflection. Some exercises work with the body but are not designed to be sexual in nature.
To register, email<EMAIL_ADDRESS>Please register by Monday, March 26th.
“Compassion is the master emotion of positive change” - Jack Morin
In this class, I’ll draw on my experience both as a therapist and a meditation practitioner as we explore what self-compassion is, why it benefits both ourselves and others, and how to cultivate it.
We’ll look at the ways in which practicing meditation can help to build self-compassion and how, in turn, self-compassion supports a meditation practice.
I’ll introduce some tools for practice, and there will be space for participants who feel comfortable to exhange experiences and share their self-compassion strategies.
No meditation experience necessary!
No pre-registration required: just come along! Email<EMAIL_ADDRESS>with any questions.
Is the “Big O” a big mystery? Orgasms can be elusive for many people, especially women and others assigned female at birth. Whether you’ve never had one, aren’t sure if you have, or would like to feel more in tune with when and how they happen, this workshop is for anyone who wants to better understand their own orgasmic capacity.
We’ll cover important anatomy, including the clitoris and G-spot, learn about how pleasure builds in the mind and body, identify factors that can inhibit orgasm, and share ideas about how to enhance our sexual sensation, whether playing alone or with others. You’ll walk away with lots of tips to help you get better acquainted with your body, your desires – and your orgasms.
Please note: the anatomical portion of the workshop will be on the vulva and vagina, and we will consider the ways in which identifying as or being socialised as female can influence our relationships with our bodies, desire, and satisfaction. The workshop is open to anyone who personally relates to any of these topics and is interested in exploring their own orgasm.
Purchase your place in person at Other Nature or online.


%= htmlWebpackPlugin.tags.headTags %>
Dont-crop is a javascript library to avoid cropping images by padding them with a matching background color or matching the images with a fitting gradient instead.
You can learn more about how to use it on github. To test it with your own images just drag & drop them onto the zone bellow.


Class used to represent a metric object (with a name, unit, tags, a value and a timestamp)
More...
#include <Metric.h>
|
| | Metric ()=delete |
| | Deleted default constructor. More...
|
| |
| | Metric (const std::vector< std::string > &name, const std::map< std::string, std::string > &tags, const std::string &unit="") noexcept |
| | Construct a new Metric object. More...
|
| |
| | Metric (std::vector< std::string > &&name, std::map< std::string, std::string > &&tags, std::string &&unit="") noexcept |
| | Construct a new Metric object. More...
|
| |
| | Metric (const Metric &other) noexcept |
| | Copy constructor. More...
|
| |
| | Metric (Metric &&other) noexcept |
| | Move constructor. More...
|
| |
| Metric & | operator= (Metric other) noexcept |
| | Assignment operator. More...
|
| |
| const std::vector< std::string > & | name () const noexcept |
| | Returns the name of the metric. More...
|
| |
| size_t | key () const noexcept |
| | Returns the key of the metric. More...
|
| |
| size_t | roundKey () const noexcept |
| | Returns the key of the collection iteration which created the metric. More...
|
| |
| double | value () const noexcept |
| | Returns the value of the metric. More...
|
| |
| std::chrono::system_clock::time_point | timestamp () const noexcept |
| | Returns the timestamp of the metric. More...
|
| |
| const std::string & | unit () const noexcept |
| | Returns the unit of the metric. More...
|
| |
| const std::map< std::string, std::string > & | tags () const noexcept |
| | Returns the tags of the metric. More...
|
| |
| void | setNewValue (double value, bool computeRate, double unitsPerSecondFactor=1.0) noexcept |
| | Sets a new value to the metric. More...
|
| |
| void | updateValue (double value, double unitsPerSecondFactor=1.0) noexcept |
| | Adds a new value to the current value. More...
|
| |
| void | setTimestamp (std::chrono::system_clock::time_point timestamp) noexcept |
| | Sets the timestamp of the metric. More...
|
| |
| void | setRoundKey (size_t roundKey) noexcept |
| | Sets the round key of the metric. More...
|
| |
|
| size_t | key_ |
| | Key of the metric (hash of its name, tag keys and tags values) More...
|
| |
| size_t | roundKey_ |
| | Key of the collection iteration which created this metric. More...
|
| |
| std::vector< std::string > | name_ |
| | Array of strings representing the name of the metric. More...
|
| |
| double | previousValue_ |
| | Previous value of the metric. More...
|
| |
| double | value_ |
| | Current value of the metric. More...
|
| |
| std::chrono::system_clock::time_point | timestamp_ |
| | Timestamp of the metric. More...
|
| |
| std::string | unit_ |
| | Unit of the metric. More...
|
| |
| std::map< std::string, std::string > | tags_ |
| | Tags of the metric. More...
|
| |
|
| static std::hash< std::string > | hasher {} |
| | Object used to compute keys (string hashes) More...
|
| |
Class used to represent a metric object (with a name, unit, tags, a value and a timestamp)
Definition at line 33 of file Metric.h.
◆ Metric() [1/5]
| AnyCollect::Metric::Metric |
( |
| ) |
|
|
delete |
Deleted default constructor.
◆ Metric() [2/5]
| AnyCollect::Metric::Metric |
( |
const std::vector< std::string > & |
name, |
|
|
const std::map< std::string, std::string > & |
tags, |
|
|
const std::string & |
unit = "" |
|
) |
| |
|
noexcept |
Construct a new Metric object.
- Parameters
-
| name | name of the metric |
| tags | tags of the metric |
| unit | unit of the metric |
Definition at line 29 of file Metric.cc.
◆ Metric() [3/5]
| AnyCollect::Metric::Metric |
( |
std::vector< std::string > && |
name, |
|
|
std::map< std::string, std::string > && |
tags, |
|
|
std::string && |
unit = "" |
|
) |
| |
|
noexcept |
Construct a new Metric object.
- Parameters
-
| name | name of the metric |
| tags | tags of the metric |
| unit | unit of the metric |
Definition at line 39 of file Metric.cc.
◆ Metric() [4/5]
| AnyCollect::Metric::Metric |
( |
const Metric & |
other | ) |
|
|
noexcept |
Copy constructor.
- Parameters
-
Definition at line 49 of file Metric.cc.
◆ Metric() [5/5]
| AnyCollect::Metric::Metric |
( |
Metric && |
other | ) |
|
|
noexcept |
Move constructor.
- Parameters
-
Definition at line 60 of file Metric.cc.
◆ generateKey() [1/2]
| size_t AnyCollect::Metric::generateKey |
( |
const std::vector< std::string > & |
name, |
|
|
const std::map< std::string, std::string > & |
tags |
|
) |
| |
|
static |
Compute the key of potential metric.
- Parameters
-
| name | name of the metric |
| tags | tags of the metric |
- Returns
- the potential metric's key
Definition at line 84 of file Metric.cc.
◆ generateKey() [2/2]
| static size_t AnyCollect::Metric::generateKey |
( |
const Metric & |
metric | ) |
|
|
static |
Compute the key of a metric.
- Parameters
-
| metric | the metric to compute the key of |
- Returns
- the potential metric's key
◆ key()
| size_t AnyCollect::Metric::key |
( |
| ) |
const |
|
noexcept |
Returns the key of the metric.
Definition at line 99 of file Metric.cc.
◆ name()
| const std::vector< std::string > & AnyCollect::Metric::name |
( |
| ) |
const |
|
noexcept |
Returns the name of the metric.
Definition at line 95 of file Metric.cc.
◆ operator=()
Assignment operator.
- Parameters
-
Definition at line 71 of file Metric.cc.
◆ roundKey()
| size_t AnyCollect::Metric::roundKey |
( |
| ) |
const |
|
noexcept |
Returns the key of the collection iteration which created the metric.
Definition at line 103 of file Metric.cc.
◆ setNewValue()
| void AnyCollect::Metric::setNewValue |
( |
double |
value, |
|
|
bool |
computeRate, |
|
|
double |
unitsPerSecondFactor = 1.0 |
|
) |
| |
|
noexcept |
Sets a new value to the metric.
- Parameters
-
| value | the new value |
| computeRate | whether the rate should be computed (as previousValue_ - value ) |
| unitsPerSecondFactor | factor to convert the value into units per seconds |
Definition at line 124 of file Metric.cc.
◆ setRoundKey()
| void AnyCollect::Metric::setRoundKey |
( |
size_t |
roundKey | ) |
|
|
noexcept |
Sets the round key of the metric.
Definition at line 144 of file Metric.cc.
◆ setTimestamp()
| void AnyCollect::Metric::setTimestamp |
( |
std::chrono::system_clock::time_point |
timestamp | ) |
|
|
noexcept |
Sets the timestamp of the metric.
Definition at line 140 of file Metric.cc.
◆ tags()
| const std::map< std::string, std::string > & AnyCollect::Metric::tags |
( |
| ) |
const |
|
noexcept |
Returns the tags of the metric.
Definition at line 119 of file Metric.cc.
◆ timestamp()
| std::chrono::system_clock::time_point AnyCollect::Metric::timestamp |
( |
| ) |
const |
|
noexcept |
Returns the timestamp of the metric.
Definition at line 111 of file Metric.cc.
◆ unit()
| const std::string & AnyCollect::Metric::unit |
( |
| ) |
const |
|
noexcept |
Returns the unit of the metric.
Definition at line 115 of file Metric.cc.
◆ updateValue()
| void AnyCollect::Metric::updateValue |
( |
double |
value, |
|
|
double |
unitsPerSecondFactor = 1.0 |
|
) |
| |
|
noexcept |
Adds a new value to the current value.
When a matcher computes the same metric during a single collection iteration (same round key), the different computed values are summed
- Parameters
-
| value | The value to add |
| unitsPerSecondFactor | factor to convert the value into units per seconds |
Definition at line 133 of file Metric.cc.
◆ value()
| double AnyCollect::Metric::value |
( |
| ) |
const |
|
noexcept |
Returns the value of the metric.
Definition at line 107 of file Metric.cc.
◆ hasher
| std::hash< std::string > AnyCollect::Metric::hasher {} |
|
staticprotected |
Object used to compute keys (string hashes)
Definition at line 35 of file Metric.h.
◆ key_
| size_t AnyCollect::Metric::key_ |
|
protected |
Key of the metric (hash of its name, tag keys and tags values)
Definition at line 36 of file Metric.h.
◆ name_
| std::vector<std::string> AnyCollect::Metric::name_ |
|
protected |
Array of strings representing the name of the metric.
Definition at line 38 of file Metric.h.
◆ previousValue_
| double AnyCollect::Metric::previousValue_ |
|
protected |
Previous value of the metric.
Definition at line 39 of file Metric.h.
◆ roundKey_
| size_t AnyCollect::Metric::roundKey_ |
|
protected |
Key of the collection iteration which created this metric.
Definition at line 37 of file Metric.h.
◆ tags_
| std::map<std::string, std::string> AnyCollect::Metric::tags_ |
|
protected |
Tags of the metric.
Definition at line 43 of file Metric.h.
◆ timestamp_
| std::chrono::system_clock::time_point AnyCollect::Metric::timestamp_ |
|
protected |
Timestamp of the metric.
Definition at line 41 of file Metric.h.
◆ unit_
| std::string AnyCollect::Metric::unit_ |
|
protected |
Unit of the metric.
Definition at line 42 of file Metric.h.
◆ value_
| double AnyCollect::Metric::value_ |
|
protected |
Current value of the metric.
Definition at line 40 of file Metric.h.
The documentation for this class was generated from the following files:


Project 1
A Visual Message for the Inhabitants of Other Celestial Bodies
For my first project, I was tasked to create a design that could comminicate a message to celestial beings. I decided to take more scientific approach in educating them about human anatomy. This would educate to the celestial beings on what humans look like on the inside.
I illustrated the internal skeletal structure and a close up of the head in more specific detail. I chose to illustrate these diagrams with line art because it would be easier to understand universally. In addition, I also created a scale to show how tall we usually are and included the scientific name of our species in case they could learn to decode it.


The Connection History report shows connection counts for a variety of connection types for the time period specified.
Displays the total connections established and optimized, plus the half-open and half-closed connections (where half-open and half-closed are TCP connection states). Displays the total number of connections forwarded by the connection-forwarding neighbor managing the connection. Displays the percentage of half-opened connections represented in the optimized connection total. A half-open connection is a TCP connection that has not been fully established. Half-open connections count toward the connection count limit on the Steelhead appliance because, at any time, they might become a fully open connection.If you are experiencing a large number of half-opened connections, consider a more appropriately sized Steelhead appliance. Displays the percentage of half-closed active connections represented in the optimized connection total. Half-closed connections are connections that the Steelhead appliance has intercepted and optimized but are in the process of being disconnected. These connections are counted toward the connection count limit on the Steelhead appliance. (Half-closed connections might remain if the client or server does not close its connections cleanly.)If you are experiencing a large number of half-closed connections, consider a more appropriately sized Steelhead appliance.How many connections were optimized? How many connections were passed through, unoptimized? What is the percentage of half-opened connections represented in the total optimized connections? What is the percentage of half-closed connections represented in the total optimized connections? The Riverbed system reports on performance for periods up to one month. Due to performance and disk space considerations, the display granularity decreases with time passed since the data was sampled. The data is collected at a 5-minute granularity for the entire month.
Select a report time interval of 5 minutes (5m), 1 hour (1h), 1 day (1d), 1 week (1w), All, or type a custom date. All includes statistics for the last 30 days.You can view the newest data and see data points as they are added to the chart dynamically. To display the newest data, click Show newest data.


{% extends "base.html" %} {% block lcrContent %}
NOC Escalation Form
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Cyber security is the practice of defending computers, servers, mobile devices, electronic systems, networks, and data from malicious attacks. It's also known as information technology security or electronic information security.
Network security
Network security is a broad term that covers a multitude of technologies, devices and processes. In its simplest term, it is a set of rules and configurations designed to protect the integrity, confidentiality and accessibility of computer networks and data using both software and hardware technologies.
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Cloud computing security or, more simply, cloud security refers to a broad set of policies, technologies, applications, and controls utilized to protect virtualized IP, data, applications, services, and the associated infrastructure of cloud computing.
Guidance
Your work is going to fill a large part of your life, and the only way to be truly satisfied is to do what you believe is great work. And the only way to do great work is to love what you do. If you haven't found it yet, keep looking. Don't settle
How to Start a New Career ?
- Know what you do best. Make a list of what you enjoy doing and what you do best. They are usually the same things. Don’t think about jobs yet, think about your talents and interests.
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Steps to Becoming a Graphic Designer
- Start Building Your Skills in High School. It never hurts to start early in any field, but it is particularly important when it comes to graphic design
- Complete Internships
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Steps to Becoming a Web Developer
- Choose a Development Specialization. Each element of a website is linked to something else, and it's a complex job to build a website successfully.
- Get an Education.
- Develop Technical Skills.
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- Launch an Online Portfolio.
How to get an awesome internship.
- TALK TO SOMEONE IN THE FIELD.
- ATTEND A JOB FAIR.
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- ASK QUESTIONS AT THE INTERVIEW
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