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I’m a technical director and programmer based in London.
I’ve planned, built and overseen many different types of projects, including websites, games, installations, mobile apps, ecommerce platforms, and technical operations and infrastructure.
I’m comfortable learning new technologies and tools as required, and enjoy both management and hands-on development.
For the past five years (2011-2016) I was the Technical Director at Preloaded, the UK’s leading educational games studio.
During this time I had the privilege of working with many high profile clients, including Disney, McDonald’s, BBC, Channel 4, British Museum, Science Museum, UK Parliament, Amplify, the Wellcome Collection, Tate Modern, Cartoon Network, and Adult Swim.
Please see Preloaded’s portfolio for examples of specific projects.
Prior to Preloaded, I held a variety of development roles at other creative agencies.
If you’d like to get in touch, you can contact me at {{site.email}}.
A current CV is available on request.


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| Home | Libraries | People | FAQ | More |
boost::triangle_distribution
// In header: <boost/random/triangle_distribution.hpp> template<typename RealType = double> class triangle_distribution { public: // types typedef RealType input_type; typedef RealType result_type; // construct/copy/destruct triangle_distribution(result_type = result_type(0), result_type = result_type(0.5), result_type = result_type(1)); // public member functions result_type a() const; result_type b() const; result_type c() const; void reset() ; template<typename Engine> result_type operator()(Engine &) ; };
Instantiations of triangle_distribution
model a random distribution . A triangle_distribution
has three parameters, a
, b
, and c
, which are the smallest, the most probable and the largest values of the distribution respectively.


The goal of decido is to provide an R binding to the Mapbox library earcut.hpp for constrained polygon triangulation. Decido is aimed at package developers at the moment, there are not high-level classes or objects but the earcut functionality can be easily used in higher-level tools or just used directly.
Ear cutting (or ear clipping) applies constrained triangulation by successively ‘cutting’ triangles from a polygon defined by path/s. Holes are supported, the earcut library works with single-island-with-holes polygons, analogous to the POLYGON type in simple features.
Install the released version from CRAN.
install.packages("decido")
You can install the development version from GitHub with the following code.
## install.packages("remotes") remotes::install_github("hypertidy/decido")
This is a basic example of triangulating a single-ring polygon. The output is a vector of triplet indices defining each triangle.
library(decido) x <- c(0, 0, 0.75, 1, 0.5, 0.8, 0.69) y <- c(0, 1, 1, 0.8, 0.7, 0.6, 0) earcut(cbind(x, y)) #> [1] 2 1 7 7 6 5 5 4 3 2 7 5 5 3 2
See the documentation and vignette for more.
Open the getting started vignette.
vignette("decido", package = "decido")
There is a C++ headers API for decido.
library(Rcpp) cppFunction( depends = "decido" , includes = '#include "decido/decido.hpp"' , code = ' Rcpp::IntegerVector earcut0( SEXP polygon ) { return decido::api::earcut( polygon ); } ' ) poly <- list(matrix(c(0,0,0,1,1,1,1,0,0,0), ncol = 2, byrow = T)) earcut0( poly ) #> [1] 1 4 3 3 2 1
Triangles can be addictive once you get used to them and can really focus attention on how simple things work. I love this sneaky trick for turning a set of unique coordinates into a picture with basic array, plot, and index idioms.
library(decido) x <- c(0, 0, 0.75, 1, 0.5, 0.8, 0.69) y <- c(0, 1, 1, 0.8, 0.7, 0.6, 0) idx <- earcut(cbind(x, y)) ## idx is triplets of indices into x,y plot(cbind(x, y)[rbind(matrix(idx, nrow = 3)[c(1:3, 1), ], NA), ], type = "l", lwd = 2, col = "darkgrey")
The need for polygon triangulation was originally motivated by the topology aspirations of silicate needing tools for decomposing shape data into primitives for analysis and visualization. Decomposition into graph types is already well supported and exercised, but triangulations of paths versus triangulations from edges are two key facilities needed for greater control.
This broader project is fairly well advanced in silicate which provides ear-cutting triangulations and enhanced with high-quality methods in hypertidy/anglr.
To triangulate sf polygons see function here. For high-quality triangulations of sf polygons directly see sfdct.
Ear clipping (or ear cutting) is also available in the rgl function triangulate
(implemented in R), and in the lawn function lawn_tesselate
(implemented via the Mapbox Javascript library earcut). In rgl the function also classifies input coordinates according to their nesting, a necessary first step if the relationship between holes and islands is not known. The INLA
package has some kind of constraint-based triangulation, but I don’t yet know the details.
In comparison to path-based ear-clipping, other libraries ‘Triangle’ and ‘CGAL’ provide edge-based mostly Delaunay triangulation. The Triangle library is available in the R package RTriangle, for spatial formats in the anglr, and in a limited sf wrapper in sfdct.
The best prospects for high-quality trianguation is probably the CGAL library, and this now available to R via the cgalheaders package, similarly used in the prepair package.
Older experimental implementations binding CGAL are in rcgal and laridae.
There’s an interesting new package terrainmeshrfor triangulating rasters based on the hmm library, this is leveraged in the dev-version of the anglr.
Do you know of others? Let me know! Triangulation is common across many R packages, but constrained algorithms are pretty rare (it’s hard). There are many Delaunay and other non-constrained implementations in many packages, and I’m compiling a list of those as well. OTOH there’s rgeos, sf, deldir, geometry, tripack, spatstat, akima, several mesh-related packages Rvcg, meshsimp, icosa, webglobe …
There’s a rough and old benchmark here: https://rpubs.com/cyclemumner/416456
Please note that the decido project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.


div with element focus monitored
div with subtree focus monitored
Parent div should get same focus origin as button when button is focused:


[gecode-users] constraint with matrix
Gustavo Gutierrez
gustavo.ggutierrez at gmail.com
Wed Jul 10 15:46:23 CEST 2013
Hi Manel,
I think you want something that looks like this:
int n = 8;
int m = 10;
IntVarArray a(*this,n*m,0,1); // Array of n*m boolean variables
Matrix<IntVarArray> mat(x,n,m); // Matrix "view" of the array a
Now, to post a constraint on every row in the matrix you can use the method
row of the Matrix class. That will return you exactly what you need. For
instance, to post that the row i has pairwise distinct values:
distinct(*this,mat.row(i));
Be careful, that is just an example that is (probably) not going to work
because of the use of boolean variables. In any case you will find more
information on section 7.2 in MPG about using Matrix.
Regards,
Gustavo
On Wed, Jul 10, 2013 at 7:20 AM, manel askri <askri.manel1 at gmail.com> wrote:
> hi!
>
> i'm trying to write a model which uses matrix, and in my case i use a
> matrix X as flowing :
>
> l=IntVar(*this, 0,1);
> Matrix <IntVar> X (l,n,m);
>
> and i declared an array rows with n elements so and i have to constraint
> evry row in the array rows by this constraint :
>
> for (int i =0, i<n; i++)
> {
> rows[i]= linear(*this,sum(X[i]),IRT_EQ,1);
>
> }
>
> So my question here is : how can i write down this constraint
> it is possible to affect a result of a constraint to variable or not ????
>
> i'm sorry to be bothring you but i really did read over and over the MPG
>
> thanks for evry help
>
>
>
>
>
> _______________________________________________
> Gecode users mailing list
> users at gecode.org
> https://www.gecode.org/mailman/listinfo/gecode-users
>
>
--
Gustavo Gutierrez
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Inherits from NSObject*
For more about Objective-C properties, see “Properties” in The Objective-C Programming Language.
Returns the fault code.
@property (retain, nonatomic) NSString* faultCode
The string containing a message about the fault.
@property (retain, nonatomic) NSString* faultString
The actor that triggered the fault.
@property (retain, nonatomic) NSString* faultActor
Details about the fault.
@property (retain, nonatomic) NSString* detail
Used internally to determine if a fault was found in the passed node.
@property BOOL hasFault
Creates a SoapFault object from NSMutableData*.
+ (SoapFault*) faultWithData: (NSMutableData*) data
Creates a SoapFault object from CXMLDocument*.
+ (SoapFault*) faultWithXMLDocument: (CXMLDocument*) document
Creates a SoapFault object from CXMLNode*.
+ (SoapFault*) faultWithXMLElement: (CXMLNode*) element


Profile
Tahsin Jahin Khalid is a seasoned Analytics Manager and Business Intelligence professional with proven expertise in data analysis, machine learning, and business process improvement. Possesses a comprehensive background in business analytics, complemented by a strong technical skillset. Demonstrates exceptional analytical thinking, and proficiency in Python, SQL, and R.
Industry Knowledge
- Business Process Improvement
- Business Analytics
- Marketing Research and Analytics
- Business Simulations
- Machine Learning
- Operations Analytics
- Natural Language Processing (NLP)
- Social Network Analysis
- Web-Scrapping
- Topic Modelling
- AGILE Methodologies
- Software Development Life Cycles (SDLC)
- Big Data Analytics
- Data Visualisation
Technical Skills
- Tableau / Power BI
- Jupyter Lab / Google Collab
- Pandas/Numpy/Scipy
- Matplotlib/Seaborn/WordCloud
- Github
- R Studio
- Azure Databricks
- KNIME
- Orange Data Mining
- PySpark
- Figma
- MySQL/MongoDB
Programming Languages
- Python
- R
- SQL
Soft Skills
- Communication
- Analytical Thinking
- Time Management
Professional Experience
Analytics Manager (Offshore), Global Export
Hong Kong MEXIMCO Group Limited. September 2019 - April 2022- Managed the planning and development of design and procedure for metric reports.
- Developed new reports and delegated tasks to team members.
- Performed market analysis to efficiently achieve objectives, increasing sales by 24%.
- Investigated and conducted research on forecasts, demands, and capital for products.
- Researched and resolved issues regarding integrity of data flow into databases.
- Synthesized current business intelligence data to produce reports and polished presentations, highlighting findings and recommending changes.
- Identified and documented project constraints, assumptions, business impacts, risks, and scope exclusions.
Education
Master of Science in Business Analytics MSc(BA)
August 2022 - August 2023 HKU Business School, The University of Hong Kong
- Entrance Scholarship
- Student Representative of the 2022-23 MSc(BA) batch
- Core Course: Business Intelligence and Analytics, Business Statistics, Operations Analytic and Quantitative Analysis Methods
- Electives Taken: Machine Learning, Database Management System (DBMS), Social Media and Marketing Analytics, Deep Learning, Big Data Analytics on the Cloud
Certificates
Data Analysis with Python, freeCodeCamp
Issued October 2021 | Credential ID
PH526x: Using Python for Research, HarvardX (Edx)
Issued June 2020 | Credential ID
Python for Everybody (Specialisation), Coursera
Issued June 2020 | Credential ID
Projects
Employee Attrition Analysis
- Identified factors that contribute to employee attrition
- Analysed employee data to determine patterns or trends
- Developed strategies for reducing employee turnover and improving retention
Customer Sentiment Analysis
- Determined the overall sentiment of customer feedback
- Identified key topics or issues that are driving customer sentiment
- Used insights to improve customer experience and address concerns
Sales Forecasting
- Predicted future sales performance based on historical data
- Identified trends or patterns in sales data
- Developed strategies to optimize sales and improve revenue growth
Customer Segmentation
- Identified distinct customer segments
- Created four customer personas
- Developed more effective marketing strategies
Volunteer Experence
The Battle for Wesnoth
Developer / Code Contributor
I contributed to this marvellous gem of a turn-based strategy game by making the “2p - Isle of Mists”, a survival scenario level with 1p/2p player modes with a difficulty levels aimed for medium to veteran players. Features a central defensive position and randomised enemy waves, with boss-class waves at the end.
Languages
- English (Fluent)
- Bengali (Native)
References
On Request


Lime rock mining proposal voted down in Lee County
by WFTX Digital TeamLEE COUNTY, Fla. -- A proposal to rezone thousands of acres for lime rock mining in Lee County did not pass Wednesday.
County commissioners voted 5-0 in favor of the hearing examiner's recommendation against the rezone.
The proposed area was off of Corkscrew Road and State Road 82. It's a little over 4200 acres.
Several people showed up to the hearing wearing red to show their objection to the rezone. Those people were concerned about pollution, environmental degradation, and traffic dangers from mining trucks.
RELATED | Latest environmental headlines for SWFL , Subscribe to our weekly "Protecting Paradise" newsletter for the latest news


"PORTER "a gate-keeper (2 Samuel 18:26; 2 Kings 7:10; 1 Chronicles 9:21; 2 Chronicles 8:14). Of the Levites, 4,000 were appointed as porters by David (1 Chronicles 23:5), who were arranged according to their families(26:1-19) to take charge of the doors and gates of the temple. They were sometimes employed as musicians (1 Chronicles 15:18).
"PORTER "a gate-keeper (2 Samuel 18:26; 2 Kings 7:10; 1 Chronicles 9:21; 2 Chronicles 8:14). Of the Levites, 4,000 were appointed as porters by David (1 Chronicles 23:5), who were arranged according to their families(26:1-19) to take charge of the doors and gates of the temple. They were sometimes employed as musicians (1 Chronicles 15:18).


FoodFinder
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Getting close to time for release celebration at WebMD, complete with movie, beer and food at the Mission Theater. Rock on!
8/27/2009, 12:24:03 PM
Favs: 0
Retweets: 0
link--- layout: tweet ---
Getting close to time for release celebration at WebMD, complete with movie, beer and food at the Mission Theater. Rock on!
8/27/2009, 12:24:03 PM
Favs: 0
Retweets: 0
link


MSI MPG SEKIRA 500G PC Case Review
by Peter DonnellWe recently reviewed the excellent MSI GUNGNIR 100, which was named after Odin’s spear. MSI looks keen to follow that trend too, with their new SEKIRA 500G PC Case, which takes its name from the Axe of Perun, the most powerful & highest God in Pantheon. That’s a pretty bold name for a product, and clearly, it has to live up to a high standard because of that. Fortunately, it looks like MSI has gone all out on the SEKIRA. This is one of the most high-end and premium cases they’ve ever created, and that’s really saying something.
MSI MPG SEKIRA 500G
It’s really not mucking about when it comes to features. It features a removable radiator mounting bracket system, as well as water cooling support in general. There are tool-free hinged and removable side panels and glass, vertical graphics card mounting, high-quality pre-installed fans. The list goes on and on. However, aside from the fantastic hardware support, it’ll be the jaw-dropping design that has MSI fans flocking to the SEKIRA.
Features
- Mid-Tower with support for EATX/ ATX / micro ATX / Mini-ITX Motherboards featuring a Golden Edge with brushed aluminium chassis
- Two hinged swing-doors with premium-quality 4mm thick tempered glass design guarantees window durability and viewing capability
- Two 200mm fans aligned vertically on the front & one 120mm fan on the rear to draw in air evenly across the entire face of the enclosure and make sure the rising warm air will always be exhausted with the rear and top airflow.
- Custom Liquid Cooling Ready features an extractable radiator bracket which supports for radiators up to 360mm in length
Specifications
What MSI Had to Say
“The MPG SEKIRA 500G is the most innovative, sophisticated and customizable gaming chassis inspired by the Axe of Perun, the most powerful & highest God in Pantheon. Its sharp, chiseled edges and the tilted slash across the facade reflect the power of the Axe of Perun while terminating the wickedness & evil for justice.”
MPG SEKIRA 500 Trailer
Exterior
The MSI MPG SEKIRA 500G is a premium PC case inside and out. Of course, at a little over £200, it needs to be a quality product to justify its lofty price tag. Fortunately, even from the first look after taking it out of the box, it really does fill me with confidence. It features a large tempered glass window down the left side, with a little black trim on the edges of the glass to keep things looking tidy.
Airflow all comes from the massive ventilated sections that run along the sides of the case at the top, front and bottom. They have this beautifully perforated metal mesh and a bank of dust filters behind them.
This is the 500 “G” too, which means it comes with a beautiful gold trim edge. It looks more like a rose-gold to me, it’s quite a warm almost brass-like colour. However, it contrasts with the black brushed aluminium with stunning effect. Furthermore, it matches up with the other black and gold hardware in the MSI range; GPUs, motherboard, etc.
Upon the top of the case, you’ll find a massive piece of black brushed aluminium. It looks stunning, and it no doubt has quite a hand in the bigger asking price, as this isn’t a small case and that’s a lot of aluminium.
Cut into the top panel, you’ll find a beautiful integrated I/O panel. All the usual things are here, power buttons, lighting controls, and a load of USB 3.0 ports, including a Type C.
They all have that machined gold edge just like the rest of the case, which makes it look even better.
The front panel is even more impressive though. Yet again, another massive slab of black brushed aluminium that just oozes quality. This case has some serious presence and no doubt that anyone who owns it will want it somewhere it can be seen.
There’s a decal on the front in matching gold too. Albeit, this one is just flat, but damn would it have looked good if CNC’d this in just like the gold trim edges.
It’s a stunning front panel, but the good looks just keep on coming. As we move around to the right side, you’ll see it looks just like the left side!
Yup, another big hinged tempered glass window on this side too. So it doesn’t matter which side you’re looking from, the SEKIRA 500G is going to wow you.
Around the back, you can see the motherboard I/O cutout. There’s a 120mm fan pre-installed here, although it will accept a 140mm fitting too. There’s a lot of space from the motherboard to the top of the case too; handy for those builds that need room for radiators!
Further down, we have eight expansion slots, giving you options for a bunch of expansion cards, multiple graphics cards etc. There’s a removable bracket on the right too, which can open up into a two-slot vertical GPU mount. However, you will need your own riser cable to do this.
Also, towards the bottom, you’ll find the ATX PSU mount. Nothing crazy, just your usual PSU mount really.
Below that, you’ll find a huge slide-out dust filter too, ensuring the PSU has all the clean airflow it needs.
Interior
The tempered glass windows are mounted on hinges. Simply pull the handle and open it up, it’s that easy. If you need to quickly clean or make a change in your rig, you don’t have to reach for the screwdriver.
Furthermore, the hinges at the back allow you to simply lift the glass up and off the case. Just put them to the side and they won’t get in your way while installing your hardware.
The interior of the SEKIRA 500G is absolutely massive. It’s a high-end case for high-end hardware, so you’ll be happy to see it support E-ATX motherboard, huge graphics cards and much more. Plus, there’s a big cut-out for mounting the CPU cooler, as well pre-installed motherboard standoffs to speed up the process.
I love a good PSU shroud, and this one is a bit of a beast. Not only does it hide the PSU and all your cable gore, but it is also packed with HDD mounts. There are four tool-free 3.5″ trays in the bottom section and two more on a movable bracket towards the front. Plus, they’re all accessible from both sides of the case, which is handy.
If that’s not enough, there’s an SSD mount on top, two huge cable grommets, and the standoffs for mounting a vertical GPU riser cable!
Of course, you can also mount SSDs in these too using the screws that come included in the box.
For cable routing, you’ll find plenty of large cable grommets around the motherboard too. They’re set a little further to the right than most, allowing for the slightly wider E-ATX motherboards.
Worried about airflow? I wouldn’t if I were you. There are two lovely 200mm fans mounted in the front that will move some serious air. Bigger fans mean higher airflow at lower RPM, and that means less noise too!
Plus, there are mounts for a wide range of 120/140 fittings to support any kind of fan and radiator configuration you desire. It’ll handle up to a 280mm in the front easily enough.
Plus you can get a massive 360mm radiator in the top, or a 280mm if you want the larger fans. Furthermore, the whole top mounting bracket is on rails and fitting with thumbscrews.
This means you can completely remove it, fit your radiator and fans, then slide it back into place; nice and easy!
In the rear, there’s another pre-installed fan. You’ll notice they’re not RGB or anything like that, just good quality blacked out fans.
Behind the motherboard, there’s plenty of room for routing your cables. Of course, there is a window on this side of the case, so you’ll want to keep things neat and tidy. Thankfully, there are able tie-down loops, velcro straps, and that PSU shroud to help you do just that.
While the HDD cages are integrated into the shroud, they can be removed. This will be handy to deal with cable routing, radiator installs, that kind of thing. Basically, if something is in your way, you can move it if you need to.
Plus if all those drive mounts aren’t enough for you, you’ll find two more SSD mounts tucked back here also!
Complete System
Honestly, building a PC inside the SEKIRA 500G was an absolute joy. It’s by far one of the nicest cases I’ve ever had the pleasure of working with, and after several hundred of them under my belt, that’s saying something. Getting a clean build could not have been easier. Plus, the amount of space in here means that hardware compatibility was never an issue.
Having all the HDD bays accessible from the front like this is excellent. Not that’s it’s hard to access either side of the case since it’s all tool-free anyway.
Plus with the exposed SSD mounts, it’s easy to show off your favourite drives. I mean, it has tempered glass windows, so you’re bound to want to show off something!
One thing that did amuse me was that even the RTX 2080, which is not a small card, fills around one half the length of the case. I love that MSI state you can fit a 400mm GPU, like anything like that even exists.
CPU cooler clearance was excellent too. It’ll handle up to 170mm, so it’ll fit my favourite cooler with plenty of room to spare; all hail the Noctua NH-D15S!
There’s loads of room on all sides of the motherboard too. This is good news for those fitting radiators in the top and rear of the case. Of course, there would be a lot more clearance if using a custom loop, as you wouldn’t have a huge Noctua cooler in the way.
It really does look pretty in here, but let’s get the glass back on and step back a bit.
I mean, come on, if you don’t like how that looks, leave a comment below so I can point and laugh at you. It’s a big case, sure, but it still manages to look utterly elegant.
How Much Does it Cost?
The MSI MPG SEKIRA 500G Full-Tower Gaming PC Case is available right now for just £219.99, which is pretty competitive really. That’s £10 cheaper than the Corsair 500D, and £20 cheaper than the Thermaltake View 71 TG RGB Plus, and the same price as the Phanteks Enthoo Primo. Make no mistake, there’s no shortage of bloody awesome PC cases when you drop this amount of coin on them. However, the SEKIRA has got everything going for it and can compete easily with anything else on the market right now.
Update: keep an eye on the Amazon price, as it’s actually just £189.98 on Box , CCL and Scan .
OK, so I know it’s hardly cheap for a PC case, but consider just how much PC case you are getting here. Just on surface area alone, the material costs vs a mid-tower are practically double. There’s a LOT of beautifully finished aluminium on the exterior. Plus, those rose-gold finished CNC cut edges ooze quality from every angle, and I doubt it was a cheap task getting them looking so good. You also get three high-quality fans pre-installed, and a pretty awesome case interior to boot.
Hardware
There’s not a lot this case cannot handle. You can fit up to a 140mm radiator in the rear, a 280/360mm radiator in the top, and up to a 280mm in the front. For those building a custom liquid-cooled system, it’s certainly got the capabilities to make something special. Personally, I think air cooling is the strongest setup here though for a slick workstation build. Those 200mm fans are superb and give great airflow through those massive side vents.
Big motherboards, huge graphics card, massive amounts of HDD and SSD mounts. This is clearly a case that can handle enthusiast workstations for content creation just as well as it could handle the latest gaming setups.
Build Quality
The pictures in this review speak a thousand words to the quality, fit and finish MSI has poured into the SEKIRA. It’s a very well made case, and it’s the little details that stand out the most. There are no panel gaps on the tempered glass, and everything else is locked firmly in place. The dust filtering is properly tight, with no other big gaps in the airflow that are unfiltered. Even the front I/O panel looks amazing, with its CNC cut edges, a huge bank of USB ports, and more.
Should I Buy One?
Honestly, if you’re not drooling over the pictures of it and this review by now, it’s not the case for you. Personally, I damn near threw my wallet at the case the moment I opened the box. If you’re still reading this review, I suspect I won’t be the only one. It is certainly one of the best cases of the last few years.


Mach 1 2009 course feedback
9th September – 2nd October 2009, at the Paddington House Hotel, Warrington, Cheshire.
I'm very proud of being a member of the support group and also of what I've achieved on the course. I found the course very inspiring.
Emma
I thought that mach1 was really useful in getting us to focus on the positives, also in allowing us to enter a chosen mindset in which to speak and just how much how we think affects how we speak. Joan W
The biggest comment about the course that I have is that it's not only made me view my stammer in a different way but my entire life. Laura
The course meant a lot to me and will carry on using the techniques we have all learned. I feel honoured to have met such a wonderful, funny, and interesting group of people. I hope we will remain friends for years to come.
I would be more than happy for you to use the photos, as they are a reflection of the great times we shared on the course.
Joan T
"Attending the MACH 1 course has improved my confidence and positivity no end. During the four days we learnt many skills and techniques to focus our thoughts and energies into better communication and therefore speech. Putting the skills into practice has been easy and showed improvements right from day one. We all had alot of fun and made some great friends."
Paul
The Master Change course has now given me a better understanding and has helped my speech tremendously. I just need to keep up the training!
David
I thought the MACH 1 course was absolutely amazing. It has given me a real insight into the psychological aspect of my speech and how I am able to change the way I think about it. I feel like a completely different person since I have completed the MACH 1 course, so much more confident, calm and in control. It’s magic!! Karen
I found most off the mach course useful, I think the course was very well set up and organised. Some of the exercises I found a bit hard but overall it was good. I also met alot of nice people. Mat
I am really proud that I was able to get funding for this life changing course which has been of great benefit to me and all the members of the support group.
Yinka


Module: HyperRecord::PubSub
- Defined in:
- lib/hyper_record/pub_sub.rb
Defined Under Namespace
Modules: ClassMethods
Instance Method Summary collapse
-
#pub_sub_record(record) ⇒ Object
subscribe to record and then publish.
-
#pub_sub_relation(relation, base_record, relation_name, causing_record = nil) ⇒ Object
subscribe to relation changes and then publish them.
-
#pub_sub_rest_class_method(record_class, rest_class_method_name) ⇒ Object
subscribe to rest_class_method and then send message to notify clients that they should call the rest_class_method again.
-
#pub_sub_rest_method(record, rest_method_name) ⇒ Object
subscribe to rest_method and then send message to notify clients that they should call the rest_method again.
-
#pub_sub_scope(collection, record_class, scope_name) ⇒ Object
subscribe to scope changes and send message about scope change to all subscribers.
-
#publish_record(record) ⇒ Object
send message about record change to all subscribers of this record.
-
#publish_relation(base_record, relation_name, record = nil) ⇒ Object
send message about relation change to all subscribers of this record.
-
#publish_rest_class_method(record_class, rest_class_method_name) ⇒ Object
send message to notify clients that they should call the rest_class_method again.
-
#publish_rest_method(record, rest_method_name) ⇒ Object
send message to notify clients that they should call the rest_method again.
-
#publish_scope(record_class, scope_name) ⇒ Object
send message about scope change to all subscribers.
-
#subscribe_record(record) ⇒ Object
subscribe to record changes.
-
#subscribe_relation(relation, base_record = nil, relation_name = nil) ⇒ Object
subscribe to relation changes.
-
#subscribe_rest_class_method(record_class, rest_class_method_name) ⇒ Object
subscribe to rest_class_method updates.
-
#subscribe_rest_method(record, rest_method_name) ⇒ Object
subscribe to rest_method updates.
-
#subscribe_scope(collection, record_class = nil, scope_name = nil) ⇒ Object
subscribe to scope updates.
Instance Method Details
#pub_sub_record(record) ⇒ Object
subscribe to record and then publish
374 375 376 |
# File 'lib/hyper_record/pub_sub.rb', line 374 def pub_sub_record(record) self.class.pub_sub_record(record) end |
#pub_sub_relation(relation, base_record, relation_name, causing_record = nil) ⇒ Object
subscribe to relation changes and then publish them
379 380 381 |
# File 'lib/hyper_record/pub_sub.rb', line 379 def pub_sub_relation(relation, base_record, relation_name, causing_record = nil) self.class.pub_sub_relation(relation, base_record, relation_name, causing_record) end |
#pub_sub_rest_class_method(record_class, rest_class_method_name) ⇒ Object
subscribe to rest_class_method and then send message to notify clients that they should call the rest_class_method again
384 385 386 |
# File 'lib/hyper_record/pub_sub.rb', line 384 def pub_sub_rest_class_method(record_class, rest_class_method_name) self.class.pub_sub_rest_class_method(record_class, rest_class_method_name) end |
#pub_sub_rest_method(record, rest_method_name) ⇒ Object
subscribe to rest_method and then send message to notify clients that they should call the rest_method again
389 390 391 |
# File 'lib/hyper_record/pub_sub.rb', line 389 def pub_sub_rest_method(record, rest_method_name) self.class.pub_sub_rest_method(record, rest_method_name) end |
#pub_sub_scope(collection, record_class, scope_name) ⇒ Object
subscribe to scope changes and send message about scope change to all subscribers
394 395 396 |
# File 'lib/hyper_record/pub_sub.rb', line 394 def pub_sub_scope(collection, record_class, scope_name) self.class.pub_sub_scope(collection, record_class, scope_name) end |
#publish_record(record) ⇒ Object
send message about record change to all subscribers of this record
324 325 326 |
# File 'lib/hyper_record/pub_sub.rb', line 324 def publish_record(record) self.class.publish_record(record) end |
#publish_relation(base_record, relation_name, record = nil) ⇒ Object
send message about relation change to all subscribers of this record
329 330 331 |
# File 'lib/hyper_record/pub_sub.rb', line 329 def publish_relation(base_record, relation_name, record = nil) self.class.publish_relation(base_record, relation_name, record) end |
#publish_rest_class_method(record_class, rest_class_method_name) ⇒ Object
send message to notify clients that they should call the rest_class_method again
334 335 336 |
# File 'lib/hyper_record/pub_sub.rb', line 334 def publish_rest_class_method(record_class, rest_class_method_name) self.class.publish_rest_class_method(record_class, rest_class_method_name) end |
#publish_rest_method(record, rest_method_name) ⇒ Object
send message to notify clients that they should call the rest_method again
339 340 341 |
# File 'lib/hyper_record/pub_sub.rb', line 339 def publish_rest_method(record, rest_method_name) self.class.publish_rest_method(record, rest_method_name) end |
#publish_scope(record_class, scope_name) ⇒ Object
send message about scope change to all subscribers
344 345 346 |
# File 'lib/hyper_record/pub_sub.rb', line 344 def publish_scope(record_class, scope_name) self.class.publish_scope(record_class, scope_name) end |
#subscribe_record(record) ⇒ Object
subscribe to record changes
349 350 351 |
# File 'lib/hyper_record/pub_sub.rb', line 349 def subscribe_record(record) self.class.subscribe_record(record) end |
#subscribe_relation(relation, base_record = nil, relation_name = nil) ⇒ Object
subscribe to relation changes
354 355 356 |
# File 'lib/hyper_record/pub_sub.rb', line 354 def subscribe_relation(relation, base_record = nil, relation_name = nil) self.class.subscribe_relation(relation, base_record, relation_name) end |
#subscribe_rest_class_method(record_class, rest_class_method_name) ⇒ Object
subscribe to rest_class_method updates
359 360 361 |
# File 'lib/hyper_record/pub_sub.rb', line 359 def subscribe_rest_class_method(record_class, rest_class_method_name) self.class.subscribe_rest_class_method(record_class, rest_class_method_name) end |
#subscribe_rest_method(record, rest_method_name) ⇒ Object
subscribe to rest_method updates
364 365 366 |
# File 'lib/hyper_record/pub_sub.rb', line 364 def subscribe_rest_method(record, rest_method_name) self.class.subscribe_rest_method(record, rest_method_name) end |
#subscribe_scope(collection, record_class = nil, scope_name = nil) ⇒ Object
subscribe to scope updates
369 370 371 |
# File 'lib/hyper_record/pub_sub.rb', line 369 def subscribe_scope(collection, record_class = nil, scope_name = nil) self.class.subscribe_scope(collection, record_class, scope_name) end |


{{quote.description}}
Author: {{quote.author}}
Submitted by: {{quote.submittedby}}
Quote Posted: {{quote.completeDate|dateCount}} days ago


Hipster-friendly bacon fanatic. Amateur twitter lover. Beer specialist. Devoted organizer. Incurable alcohol fanatic. Webaholic. Bacon maven. Proud social media aficionado. Unapologetic internet practitioner. Troublemaker. Music scholar.
Food buff. Travel aficionado. Alcohol maven. Evil music fanatic. Extreme twitter fanatic. Typical beer nerd. Incurable internet trailblazer. Explorer. Freelance twitter geek. Professional music trailblazer. Social media specialist. Food expert. Amateur introvert.
Explorer. Web enthusiast. Typical reader. Travel ninja. Troublemaker. Freelance music trailblazer. Internet lover. Webaholic. Communicator. Wannabe tv fan. Extreme twitter practitioner. Social media advocate. Coffee ninja. Friendly food fanatic.


Signal processing techniques are used both in the embedded system and at the server to improve signal quality and so make vehicle estimation more robust and accurate. These algorithms act on several phenomena that affect the strain signal: diurnal variations in the bridge’s dynamic response, bridge harmonics and of course background noise. We are constantly developing and improving our algorithms.
As a vehicle crosses a bridge, its impact causes the bridge to oscillate. The frequency and amplitude is determined patly by the vehicle’s suspension, but largely by the characteristics of the bridge. In most bridges this oscillation is relatively small compared to the deflection of the bridge caused by the vehicle’s loading. However, for some bridges the oscillation is sufficiently powerful to affect the strain signal, superimposing a sinusoidal signal onto the desired signal. Left untreated this introduces spurious peaks in the signal that could result in errors in speed estimation and even axle location.
The task of the algorithm is to attenuate this harmonic component while leaving the desired unaffected. This is simplified by the fact that the bridge harmonics are usually very pure sinusoids. With this knowledge it is relatively easy to identify and remove the harmonic, Figure Blockdiagram. We used a Gabor filter due to its good temporal and spectral localisation.
This simple approach is highly effective in attenuating the harmonics—providing we know the frequency of the harmonic. The task becomes more difficult if the bridge’s frequency response changes. For instance, over the course of the day temperature variations will change the stiffness of the bridge—causeing a shift in the frequency of the bridge harmonics. We are now developing algorithms based on a Kalman filter to track these frequency shifts and adapt to changes in the bridge’s characteristics.
Of course, changes in the stiffness of the bridge also affect how much astrain given load will induce. Although a small effect, it is nonethless significant for high accuracy measurements. We are working on methods that use internal temperature measurements of the bridge, changes in the dynamic response of the bridge and novel calibration methods to account for this effect and improve the accuracy and precision of out iBWIM.
As with any measurement we must account for noise. With our high bit resolution quantisation error is negligable, and with on-board amplification on the sensor, and relatively short connections to the embedded system, there is little evidence of either white or shot noise.
BWIM systems provide estimates based on certain assumptions, when these assumptions fail the estimates become inaccurate. Complementary sensor systems provide information that can remove ambiguities in the interpretation of BWIM data. For instance, in some bridges consecutive axles give well resolved peaks in the strain signal, in other bridges the peaks may merge. In this case interpretation of the becomes difficult: does a merged peak correspond to a group of two or three axles?
With appropriate signal processing, our laser axle detection system identifies the exact location of the axle with respect to the strain signal. Once we know where our axles are located, estimation of their amplitude is much more reliable.


| Type | Line | Description |
|---|---|---|
| todo | 131 | : this method is rarely called, but a way to speed it up is to store the key and value in session, and then look for it when called |
| todo | 158 | : this method is rarely called, but a way to speed it up is to store the path in session, and then look for it when called |


#include "types.h"
#include "defs.h"
#include "param.h"
#include "stat.h"
#include "mmu.h"
#include "proc.h"
#include "spinlock.h"
#include "buf.h"
#include "fs.h"
#include "file.h"
Go to the source code of this file.
|
| #define | min(a, b) ((a) < (b) ? (a) : (b)) |
| |
|
| void | readsb (int dev, struct superblock *sb) |
| |
| void | iinit (void) |
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| struct inode * | ialloc (uint dev, short type) |
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| void | iupdate (struct inode *ip) |
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| struct inode * | idup (struct inode *ip) |
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| void | ilock (struct inode *ip) |
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| void | iunlock (struct inode *ip) |
| |
| void | iput (struct inode *ip) |
| |
| void | iunlockput (struct inode *ip) |
| |
| void | stati (struct inode *ip, struct stat *st) |
| |
| int | readi (struct inode *ip, char *dst, uint off, uint n) |
| |
| int | writei (struct inode *ip, char *src, uint off, uint n) |
| |
| int | namecmp (const char *s, const char *t) |
| |
| struct inode * | dirlookup (struct inode *dp, char *name, uint *poff) |
| |
| int | dirlink (struct inode *dp, char *name, uint inum) |
| |
| struct inode * | namei (char *path) |
| |
| struct inode * | nameiparent (char *path, char *name) |
| |
| #define min |
( |
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a, |
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b |
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Definition at line 23 of file fs.c.
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struct inode * |
dp, |
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char * |
name, |
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uint |
inum |
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Definition at line 533 of file fs.c.
| struct inode* dirlookup |
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struct inode * |
dp, |
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char * |
name, |
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uint * |
poff |
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Definition at line 506 of file fs.c.
| struct inode* ialloc |
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dev, |
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short |
type |
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Definition at line 176 of file fs.c.
Definition at line 258 of file fs.c.
Definition at line 165 of file fs.c.
| void ilock |
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struct inode * |
ip | ) |
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Definition at line 269 of file fs.c.
| void iput |
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struct inode * |
ip | ) |
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Definition at line 318 of file fs.c.
| void iunlock |
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ip | ) |
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Definition at line 301 of file fs.c.
| void iunlockput |
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ip | ) |
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Definition at line 340 of file fs.c.
| void iupdate |
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struct inode * |
ip | ) |
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Definition at line 202 of file fs.c.
| int namecmp |
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Definition at line 498 of file fs.c.
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|
Bullet Collision Detection & Physics Library
|
#include "LinearMath/btMatrixX.h"
#include "LinearMath/btThreads.h"
#include "BulletDynamics/Featherstone/btMultiBodyConstraintSolver.h"
Go to the source code of this file.
Classes | |
| class | btMultiBodyMLCPConstraintSolver |


--- layout: post status: publish published: true title: MSBuild with NUnit author: display_name: Geoff Lane login: admin email<EMAIL_ADDRESS>url: http://www.zorched.net author_login: admin author_email<EMAIL_ADDRESS>author_url: http://www.zorched.net date: '2006-11-28 21:45:41 -0500' date_gmt: '2006-11-29 03:45:41 -0500' categories: - Code - ".NET" - Unit Testing - Automation tags: - xml - nunit - msbuild comments: - id: 1550 author: Zorched / One Line Fix » More On MSBuild author_email: '' author_url: http://www.zorched.net/2006/11/30/more-on-msbuild/ date: '2006-11-30 19:22:13 -0500' date_gmt: '2006-12-01 01:22:13 -0500' content: "[...] MSBuild with NUnit [...]" - id: 9273 author: Zorched / One Line Fix » Automated Subversion Tagging With MSBuild author_email: '' author_url: http://www.zorched.net/2007/02/23/automated-subversion-tagging-with-msbuild/ date: '2007-02-23 11:44:10 -0500' date_gmt: '2007-02-23 17:44:10 -0500' content: "[...] tagged posts More On MSBuildMSBuild with NUnitPragmatic Version Control Using SubversionSubversion Maintenance ScriptsMore .NET Compact Framework [...]" - id: 9920 author: Mocking .NET Objects with NUnit author_email: '' author_url: http://www.zorched.net/2007/03/10/mocking-net-objects-with-nunit/ date: '2007-03-10 20:33:30 -0500' date_gmt: '2007-03-11 03:33:30 -0400' content: "[...] that Microsoft created their own version. (See one of my previous posts for more information on Automating NUnit with MSBuild.) In the Java world it’s fairly common to do Mocking to help make unit testing easier. [...]" - id: 13880 author: randy author_email<EMAIL_ADDRESS>author_url: http://www.picis.com date: '2008-08-22 07:58:05 -0400' date_gmt: '2008-08-22 13:58:05 -0400' content: "I added the above text to my build.proj file. When I try to run it I get this error. Any ideas ?\r\n\r\nTarget Test:\r\n Unhandled Exception:\r\n System.IO.FileLoadException: Could not load file or assembly 'nunit.framework, Version=<IP_ADDRESS>, Culture=neutral, PublicKeyToken=96d09a1eb7f44a77' or one of its dependencies. The located assembly's manifest definition does not match the assembly reference. (Exception from HRESULT: 0x80131040)\r\n File name: 'nunit.framework, Version=<IP_ADDRESS>, Culture=neutral, PublicKeyToken=96d09a1eb7f44a77'\r\n \r\n Server stack trace: \r\n at System.ModuleHandle.ResolveType(Int32 typeToken, RuntimeTypeHandle* typeInstArgs, Int32 typeInstCount, RuntimeTypeHandle* methodInstArgs, Int32 methodInstCount)" - id: 13883 author: Geoff Lane author_email<EMAIL_ADDRESS>author_url: http://www.zorched.net date: '2008-08-22 08:50:02 -0400' date_gmt: '2008-08-22 14:50:02 -0400' content: "randy,\r\nYou probably are missing a reference to the NUnit.Framework.dll in your Test project?" - id: 14255 author: Jirapong author_email<EMAIL_ADDRESS>author_url: http://www.bananacoding.com date: '2008-10-24 00:06:28 -0400' date_gmt: '2008-10-24 06:06:28 -0400' content: "I believe you also have to set ToolPath to the nunit-console.exe\r\n\r\n\r\n\r\nHope this help." - id: 18060 author: PaweÅ‚ author_email<EMAIL_ADDRESS>author_url: '' date: '2012-05-21 07:34:11 -0400' date_gmt: '2012-05-21 13:34:11 -0400' content: i found a solution, i had the same problem in my project, if you are using msbuild to compile your solution, check if the nunit.framework that you are using in your project cames from Nunit 2.5 or 2.6, if you are using 2.6 just change it to 2.5 version. ---
I've written about Unit Testing and Build Automation in the past, but mostly dealing with Java projects and tools (because I usually write about things I'm working on at the time). Well, I've started a .NET project for the first time in a while so I want to solve some of the samde problems in this environment.
{% endhighlight %}
The "Test" target above uses the NUnit task to run all of the NUnit Tests found in the DLL. There are a number of different ways to create ItemGroups ins MSBuild, all of which are odd and confusing. If anyone has any ideas on what the best practices in this regard, let me know.
One final plug for my favorite Visual Studio plugin, ReSharper. It includes support for NUnit. It will help you create NUnit Tests and then lets you run them and debug them from within your IDE. It's almost like you have a real IDE all of a sudden!
Pragmatic Unit Testing in C# with NUnit NUnit Pocket Reference Deploying .NET Applications: Learning MSBuild and ClickOnce


Money Saving Tips
Oct 18, 2019 ·
The best way to save money:
The best way to save money: Signup for a savings account that is at a different bank then your checking account. Then setup an automatic savings transfer (for example $500) that goes into that savings account each month. This automatic approach is a great way to save but you still need to be aware of your spending so you have enough money in the account each month to actually save.
Become more aware of how much you spend every month in real-time (meaning having a way to add up all the accounts you spend from each month easily).
Once a year go through all reoccurring expenses (cable, cell phone, etc. and negotiate for a lower rate or leave the company and find a lower rate.)
Increase the interest rate you are receiving on your savings account. Most online banks offer a savings rate 30 times what large banks offer. But make sure they are legitimate banks and are FDIC insured.
Compare up to 4 vendors pricing anytime you need to have work done for your home or business to make sure you are not getting ripped off.
When traveling compare many websites and then ultimately call the hotel itself to see if they can beat the online rates.


The following document contains the results of PMD 6.4.0.
| Violation | Priority | Line |
|---|---|---|
| Avoid modifiers which are implied by the context | 3 | 17–19 |
| Violation | Priority | Line |
|---|---|---|
| Useless qualified this usage in the same class. | 3 | 42 |
| Useless qualified this usage in the same class. | 3 | 62 |
| Useless qualified this usage in the same class. | 3 | 83 |
| Useless qualified this usage in the same class. | 3 | 112 |
| Useless qualified this usage in the same class. | 3 | 174 |
| Violation | Priority | Line |
|---|---|---|
| Avoid modifiers which are implied by the context | 3 | 32–34 |
| Avoid modifiers which are implied by the context | 3 | 36–43 |
| Avoid modifiers which are implied by the context | 3 | 45–48 |
| Avoid modifiers which are implied by the context | 3 | 50–54 |
| Avoid modifiers which are implied by the context | 3 | 56–58 |
| Avoid modifiers which are implied by the context | 3 | 60–63 |
| Avoid modifiers which are implied by the context | 3 | 65–69 |
| Avoid modifiers which are implied by the context | 3 | 71–73 |


Foundations¶
This section starts with a Problem Statement. This attempts to define the context in which the problem arises, the problem to be solved and any forces that influence the choice of solution. Given this, it can propose a solution and some consequences of the chosen solution.
Based on the problem statement, this section describes a use case for this software. This will be Our Simulation Application. In this section, we’ll look at the overall strategy and establish some areas of responsibility for various software components.
We’ll look at some issues in Methodology, Technique and Process that are not technical in nature. They’re more procedural and provide some direction on development, testing and writing documentation.
In Additional Topics: Non-Functional Requirements we’ll look at issues like Quality, Rework, Reuse, and Design Patterns.
Finally, we’ll look at rework in Rework and the Learning Process. Doing rework to correct initial assumptions is an important part of the way this book is organized.
Important
Fools Rush In
It’s important not to rush in to programming.
Be sure you understand the problem being solved and how software solves that problem.
Let’s look closely at the problem we’re going to solve.
Problem Statement¶
Context. We’re going to study the “classic” casino table games played against the house, including Roulette, Craps and Blackjack. We want to explore the consequences of various betting strategies for these casino games.
Questions include “How well does the Cancellation strategy work?” “How well does the Martingale strategy works for the Come Line odds bet in Craps?” “How well does this Blackjack strategy I found on the Internet compare with the strategy card I bought in the gift shop?”
A close parallel to this is exploring variations in rules and how these different rules have an influence on outcomes. Questions include “What should we do with the 2× and 10× odds offers in Craps?” “How should we modify our play for a single-deck Blackjack game with 6:5 blackjack odds?”
Our context does not include exploring or designing new casino games. Our context also excludes multi-player games like poker.
Problem. Our problem is to answer the following question: For a given game, what player strategies produce the best results?
Forces. There are a number of forces that influence our choice of solution. Here’s an overview:
We want an application that is has bounded complexity. Instead of producing a rich, sophisticated interactive user interface, we will produce raw data and statistical summaries. A command-line interface (CLI) lets the user specify a betting strategy; the application will respond with a presentation of the results. Using a comma-separated values (CSV) format, the can be pasted into a spreadsheet for further analysis.
We want an application that is easy to extend to different betting strategies as well as new games. The customization is done by modifying the supplied code. The user can build a new betting strategy, test it, and run simulations.
We need to reflect actual game play. A long-running simulation of thousands of individual cycles of play will approach the theoretical results. However, people typically don’t spend more than a few hours at a table game. If, for example, a Roulette wheel is spun once each minute, a player is unlikely to see more that 120 spins in two hours at a casino.
Additionally, many players have a fixed budget, and the betting is confined by table limits. This means that the betting strategy needs to address the subject of “money management:” a player may elect to stop playing when they are ahead or cut their losses when they are behind.
High-Level Use Case. The high-level use case is the overall cycle of investigation. The actor’s goal is to find an optimal strategy for a given game.
Here’s the scenario we’re imagining.
Actor: Uses an IDE to build new classes for a simulator and runs the updated simulation. The classes may provide variant game rules, variant play strategies, or variant betting strategies.
IDE: Responds with output from running unit tests.
Actor: Runs the simulator with selection of game and strategy.
Simulator: Responds with statistical results.
Actor. Evaluates the results. Uses a spreadsheet or other tool for analysis and visualization. Perhaps another Python application digests the simulation output to produce summaries.
Consequences. We’re going build the simulator application around the use case.
We won’t address how to analyze the results. That’s a separate, and interesting topic.
One of the most important consequences of our solution is building an application into which new player betting strategies can be inserted. Clever gamblers invent new strategies all the time.
We will not know all of the available strategies in advance, so we will not be able to fully specify all of the various design details in advance. Instead, we will find ourselves reworking some parts of the solution, to support a new player betting strategy.
Given this overview of the simulation and modeling intent, we can look at the application program and how we’ll use it. In the next section we’ll provide the overall concept behind using this application.
Our Simulation Application¶
What will our application look like?
From reading the problem and use case information, we can identify at least the following four elements to our application.
The game being simulated. This includes the various elements of the game: the wheel, the dice, the cards, the table, and the bets.
The player being simulated. This includes two separate details:
Decisions the player makes based on the state of the game. Blackjack has complex player decisions.
Betting choices based on the state of the game. Craps has very complex betting decisions.
The statistics being collected.
An overall control component which processes the game, collects the statistics, and writes the details or the final summary.
While potentially interesting, we will not pursue the design of a general-purpose simulation framework. Nor will we use any of the available general frameworks. While these are handy and powerful tools, we want to focus on developing application software “from scratch” (or de novo) as a learning exercise.
For more information on a general simulation tool, see https://mesa.readthedocs.io/en/master/.
A typical execution of the simulator application will look like the following example:
Sample Execution
python3 -m casino.craps --Dplayer.name="Player1326" >details.log
We select the main simulator control using the package
casino
and the modulecraps
.We define the player to use,
player.name="Player1326"
. The main method will use this parameter to create objects and execute the simulation.We collect the raw data in a file named
details.log
.
There are a number of more technical considerations that we will expand in Development Environment. These include the use of an overall application framework and an approach for unit testing.
In addition to the software itself, we also need to look closely at how we’ll build this software. In the next section, we’ll look at our overall approach, often called the “methodology”. We’ll look at some specific techniques and talk about the process of building software.
Methodology, Technique and Process¶
The intent of this book is to focus on programming language and design skills; we won’t narrowly follow the details any particular software development methodology. We prefer to lift up a few techniques which seem to have the most benefit.
Incremental Development. Each chapter is a “sprint” that produces some collection of deliverables. Each part of the book is a complete release.
Unit Testing. We don’t dwell on test-driven development, but each chapter explicitly requires unit tests for the classes built. Ideally, one writes the test cases first.
Static Analysis. We’ll provide suggested type hints. The student should use mypy to provide some confidence the code is likely to work as expected.
Embedded Documentation. We’ll describe the documentation expectations.
The exercises are presented as if we are doing a kind of iterative design with small deliverables. We present the exercises like this for a number of reasons.
We find design is helped by immediate feedback. While we present the design in considerable detail, we do not present the final code. Programmers new to OO design will benefit from repeated exposure to the transformation of problem statement through design to code.
This presentation parallels the way software is developed. A project may emphasize larger collections of deliverables. However, the actual creation of working eventually decomposes into classes, fields and methods.
For developers enamored of a strict waterfall methodology – with all design work completed before any programming work – the book can be read in a slightly different order. From each exercise chapter, read only the overview and design sections. From that information, integrate the complete design. Then proceed through the deliverables sections of each chapter, removing duplicates and building only the final form of the deliverables based on the complete design.
This preliminary work to create a waterfall project is quite difficult.
Making Technical Decisions¶
Many of the chapters will include some lengthy design discussions. Some of these will appear to be little more than hand-wringing over nuances. Others appear to be “thinking out loud.”
Pragmatically, it helps to do a certain amount of hand-wringing over OO design. We call it “Looking For The Big Simple”. It can take a great deal of time and effort to find a simple implementation for a complex problem. A technique that helps is to enumerate the alternatives with pros and cons.
Our intent can be summarized as follows:
Good design comes from a good process for technical decision-making.
Admit what is unknown, and take steps to reduce our degrees of ignorance. Do research. Write proofs-of-concept.
Budget time for exploring the bad designs before arriving at a good design.
A little more time spent on design can result in considerable simplification, which will reduce overall development and maintenance costs.
It’s also important to note that people are not omniscient. Some of the exercises include intentional dead-ends. As a practical matter, we can rarely foresee all of the consequences of a design decision and we need to be prepared to undertake rework.
We’ve looked at the problem, and an overview of our solution; these are the functional requirements for the solution. In this section, we looked out some of the techniques and processes. In the next section, we’ll look at some additional considerations for the product we’ll create; these are non-functional requirements.
Additional Topics: Non-Functional Requirements¶
We can decompose software requirements into two broad categories:
Functional Requirements. These are the things the software must do. The use cases should address this completely. The point of use cases is to describe what the user will do with the software.
Non-Functional Requirements. These are the supporting ideals and principles that make good software. This includes compatibility with multiple operating systems, auditability of the results, retention of history, and other topics.
The number of non-functional features of software is large. We’ll talk about a few of them, specifically:
General aspects of software quality¶
Our approach to overall quality will focus on unit tests, static analysis, and documentation. There are many more things which can be thought of when considering software quality.
Here’s a broad list of quality topics:
Need Satisfaction.
Performance and Resource Use.
Maintenance.
Adaptation and Change.
Organizational Considerations.
Need Satisfaction. This is the essence of the functional requirements: does the software meet the need? If we start with a problem statement, and define the use cases, we’ll often write software which is focused on the user’s needs.
Performance. We don’t address performance specifically in this book. However, the presence of extensive unit tests allows us to alter the implementation of classes to change the overall performance of our application. As long as the resulting class still passes the unit tests, we can develop numerous alternative implementations to optimize speed, memory use, input/output, or any other resource.
Maintenance. Software is something that is subject to a great deal of change. It changes when we uncover and fix bugs. More commonly, it changes when our understanding of the problem, the actor, or the use case changes.
In many cases, our initial solution merely clarifies the actor’s thinking. After using an application, we’ll need to alter the software to reflect the user’s deeper understanding of the problem.
Software maintenance is just another cycle of the iterative approach we’ve chosen in this book. We pick a feature, create or modify classes, and then create or modify the unit tests. In the case of bug fixing, we often add unit tests to demonstrate the bug, and then fix our classes to pass the revised unit tests.
Adaptation. Adaptation refers to our need to adapt our software to changes in the context where its used. The context can include interfaces, operating systems, or platforms. When we address issues of interoperability with other software, portability to new operating systems, scalability for more users, we are addressing adaptation issues.
Organizational. There are some organizational quality factors: cost of ownership and productivity of the developers creating it. We don’t address these directly. Our approach, however, of developing software incrementally often leads to good developer productivity.
The non-functional requirements are secondary to the functional requirements. If the software doesn’t work in the first place, it doesn’t matter how adaptable it is.
In addition to looking at quality overall, we also need to consider reuse of the software. This can be daunting, and it’s important to have concrete goals for the reusability of software we write.
Reusability of code¶
While there is a great deal of commonality among the three games, the exercises do not start with an emphasis on constructing a general, reusable framework. We find that too much generalization and too much emphasis on reuse is not appropriate for beginning OO designers.
Additionally, we find that projects that begin with too-lofty reuse goals often fail to deliver valuable solutions in a timely fashion. We prefer not to start out with a goal that amounts to boiling the ocean to make a pot of tea.
While a promise of OO design is reuse, this needs to be tempered with some pragmatic considerations. There are two important areas of reuse:
Reusing a class specification to create objects with common structure and behavior, and
Using inheritance to reuse structure and behavior among multiple classes of objects.
Beyond these two areas, undue emphasis on reuse can create more cost than value.
The first step in reuse comes from isolating responsibilities to create classes of objects. Generally, a number of objects that have common structure and behavior is a kind of reuse. When these objects cooperate to achieve the desired results, this is sometimes called emergent behavior: no single class contains the overall functionality, it grew from the interactions among the various objects.
The second step in OO reuse is inheritance. The subclass-superclass relationship yields a form of reuse: a class hierarchy with six subclasses will share the superclass code seven times over. This, by itself, has tremendous benefits.
We caution against any larger scope of reuse. Sharing classes between projects may or may not work out well. The complexity of achieving inter-project reuse can be paralyzing to first-time designers. Often, different projects reflect different points of view, and the amount of sharing is limited by these points of view.
As an example, consider a product in a business context. An external customer’s view of the product (shaped by sales and marketing) may be very different from the internal views of the same product. Internal views of the product (for example, finance, legal, manufacturing, shipping, support) may be very different from each other. Reconciling these views may be far more challenging than a single software development project. For that reason, we don’t encourage this broader view of reuse.
For our purposes in this book, there’s no broader reuse goal. We’ll avoid considerations appropriate to larger frameworks, or complex enterprise applications.
An important quality consideration is writing software that fits commonly-understood design patterns. We’ll look at the question of design patterns next.
Design patterns and principles¶
These exercises will refer to several common design patterns. A Design Patterns book is not a prerequisite; a reader may want to find books on design patterns to gain additional insight into the design patterns used here. We feel that use of common design patterns significantly expands the programmer’s repertoire of techniques.
Many design pattern books are focused on languages like C++ and Java, where language rules can create sticky situations requiring some moderately clever and insightful programming techniques. Python has a different set of language features, changing several classic design patterns in profound ways. For this reason, we don’t strongly recommend spending a lot of time studying design patterns outside the Python language context.
While well-known design patterns can be helpful, they often require some experience to see how they work and what the possible value is. We suggest paying close attention other software, reading widely, and looking for common features that form recognizable patterns.
The process of writing software often involves dead-ends, mistakes, and rework. In the next section, we’ll address the concept of rework and how this book helps you to tackle the inevitable rework problems that arise.
In the next section we’ll look at an important part of the overall process for building software. We need to understand lessons learned along the way, and deal gracefully with the need to rework software.
Rework and the Learning Process¶
In Problem Statement, we described the problem. In Our Simulation Application, we provided an overview of the solution. The following parts will guide you through an incremental design process; a process that involves learning and exploring. This means that we will coach you to build classes and then modify those classes based on lessons learned during later steps in the design process. See our Soapbox on Rework for an opinion on the absolute necessity for design rework.
We don’t present a complete design for the entire application. We feel that it is very important follow a realistic problem-solving trajectory. Beginning designers should be exposed to the decisions involved in creating a complete design. In our experience, all problems involve a considerable amount of “learn as you go”.
We want to reflect this in our series of exercises. In many respects, a successful OO design is one that respects the degrees of ignorance that people have when starting to build software. We will try to present the exercises in a way that teaches the reader how to manage ignorance and still develop valuable software.
For some, the word rework has a negative connotation. If you find the word distasteful, please replace every occurrence with any of the synonyms: adaptation, evolution, enhancement, mutation. We prefer the slightly negative connotation of the word rework because it helps managers realize the importance of incremental learning and how it changes the requirements, the design and the resulting software.
Since learning will involve mistakes, good management plans for the costs and risks of those mistakes. Generally, our approach is to manage our ignorance; we try to create a design such that correcting a mistake only fixes a few classes.
We often observe denial of the amount of ignorance involved in creating IT solutions. It is sometimes very difficult to make it clear that if the problem was well-understood, or the solution was well-defined there would be immediately applicable off-the-shelf or open-source solutions. The absence of a ready-to-hand solution generally means the problem is hard. It also means that there are several degrees of ignorance: ignorance of the problem, solution and technology; not to mention ignorance of the amount of ignorance involved in each of these areas.
We see a number of consequences of denying the degrees of ignorance.
Programmers. For programmers experienced in non-OO (e.g. procedural) languages, learning OO design can be difficult and frustrating. When this is new, it helps to make mistakes to learn effectively. Programmers need time and space to explore and make mistakes. Feel free to rework your solutions to make them better. Above all, do not attempt to design a solution that is complete and perfect the very first time. We can’t emphasize enough the need to do design many times before understanding what is important and what is not important in coping with ignorance.
Managers. For managers, the design rework appears to be contrary to the fanciful expectation of reduced development effort from OO techniques. The usual form for the complaint is the following: “I thought that OO design was supposed to be easier than non-OO design.” We’re not sure where the expectation originates, but good design takes time, and learning to do good design seems to require making mistakes. Every project needs a budget for making the necessary mistakes, reworking bad ideas to make them good, and searching for simplifications.
We find that early “high-level” designs will miss details of the problem domain. This will lead to rework. Forbidding rework amounts to mandating a full understanding of the problem prior to any code.
In most cases, our users do not fully understand their problem any more than our developers understand our users. Generally, it is very hard to understand the problem, the technology, and the solution. We find that hands-on use of preliminary versions of software can help more than endless conversations about what could be built.
Looking Forward¶
We’ve looked at the problem, the general form of the solution. We’ve talked a bit about the process or methodology to be used, and some of the non-functional requirements. We’ve even acknowledged that mistakes will be made, and rework will be part of the process.
In the next chapter, we’ll talk specifically about the what tools to install, and what deliverables will be created.


#
My Favorite Warhammer 40k figurines
Price
1.
Grand Master Voldus
$28
2.
Castellan Crowe
$20
3.
Brother-Captain Stern
$20.25
4.
Lord Kaldor Draigo
$20.25
5.
Grey Knights Brother Captain
$20


All-purpose Property List manipulation library
Plist is a library to manipulate Property List files, also known as plists. It can parse plist files into native Ruby data structures as well as generating new plist files from your Ruby objects.
Usage
Parsing
result = Plist::parse_xml('path/to/example.plist') result.class => Hash "#{result['FirstName']} #{result['LastName']}" => "John Public" result['ZipPostal'] => "12345"
Example Property List
<?xml version="1.0" encoding="UTF-8"?> <!DOCTYPE plist PUBLIC "-//Apple Computer//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd"> <plist version="1.0"> <dict> <key>FirstName</key> <string>John</string> <key>LastName</key> <string>Public</string> <key>StreetAddr1</key> <string>123 Anywhere St.</string> <key>StateProv</key> <string>CA</string> <key>City</key> <string>Some Town</string> <key>CountryName</key> <string>United States</string> <key>AreaCode</key> <string>555</string> <key>LocalPhoneNumber</key> <string>5551212</string> <key>ZipPostal</key> <string>12345</string> </dict> </plist>
Generation
plist also provides the ability to generate plists from Ruby objects. The following Ruby classes are converted into native plist types:
Array, Bignum, Date, DateTime, Fixnum, Float, Hash, Integer, String, Symbol, Time, true, false
- Array and Hash are both recursive; their elements will be
converted into plist nodes inside the
and containers (respectively). - IO (and its descendants) and StringIO objects are read from and their contents placed in a element.
- User classes may implement to_plist_node to dictate how they should be serialized; otherwise the object will be passed to Marshal.dump and the result placed in a element. See below for more details.
Creating a plist
There are two ways to generate complete plists. Given an object:
obj = [1, :two, {'c' => 0xd}]
If you’ve mixed in Plist::Emit (which is already done for Array and Hash), you can simply call to_plist:
obj.to_plist
This is equivalent to calling Plist::Emit.dump(obj). Either one will yield:
<?xml version="1.0" encoding="UTF-8"?> <!DOCTYPE plist PUBLIC "-//Apple Computer//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd"> <plist version="1.0"> <array> <integer>1</integer> <string>two</string> <dict> <key>c</key> <integer>13</integer> </dict> </array> </plist>
You can also dump plist fragments by passing false as the second parameter:
Plist::Emit.dump('holy cow!', false) => "<string>holy cow!</string>"
Custom serialization
If your class can be safely coerced into a native plist datatype, you can implement to_plist_node. Upon encountering an object of a class it doesn’t recognize, the plist library will check to see if it responds to to_plist_node, and if so, insert the result of that call into the plist output.
An example:
class MyFancyString ... def to_plist_node return "<string>#{self.defancify}</string>" end end
When you attempt to serialize a MyFancyString object, the to_plist_node method will be called and the object’s contents will be defancified and placed in the plist.
If for whatever reason you can’t add this method, your object will be serialized with Marshal.dump instead.
Links
- Project Page
- plist.rubyforge.org
- GitHub
- github.com/bleything/plist
- RDoc
- plist.rubyforge.org
Credits
plist is maintained by Ben Bleything<EMAIL_ADDRESS>and Patrick May<EMAIL_ADDRESS>Patrick wrote most of the code; Ben is a recent addition to the project, having merged in his plist generation library.
Other folks who have helped along the way:
- Martin Dittus
- who pointed out that Time wasn’t enough for plist Dates, especially those in ~/Library/Cookies/Cookies.plist
- Chuck Remes
- who pushed Patrick towards implementing to_plist
- Mat Schaffer
- who supplied code and test cases for <data> elements
- Michael Granger
- for encouragement and help
- Carsten Bormann, Chris Hoffman, Dana Contreras, Hongli Lai, Johan Sørensen
- for contributing Ruby 1.9.x compatibility fixes
License and Copyright
plist is released under the MIT License.
Portions of the code (notably the Rakefile) contain code pulled and/or adapted from other projects. These files contain a comment at the top describing what was used.
MIT License
Copyright © 2006-2010, Ben Bleything
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
 IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.


Top: Basic types: unit
#include <pstreams.h> class unit { compref<instm> uin; compref<outstm> uout; virtual void main() = 0; virtual void cleanup() = 0; void connect(unit* next); void run(bool async = false); void waitfor(); }
Units represent functionality similar to console applications in UNIX. Each unit has its own main() along with input and output 'plugs' - uin and uout, that may be mapped to the standard input and output, a local pipe or any other stream compatible with instm and outstm, respectively.
Each unit class must at least override the abstract method main(). Overridden unit classes typically read input data from uin and send the result of processing to uout, like if they were console applications. By default uin and uout are attached to standard input and output. After instantiating a unit object you (the user of a unit class) may attach any instm-compatible stream to uin and any outstm-compatible stream to uout. In addition, units are able to connect to each other using local pipes, and thus form data processing chains within your application.
You may define other public methods or fields in your unit class that represent additional options. E.g. a regular expression parser unit may have a string field that represents the regular expression itself (see example below).
Units can be run either synchronously or asynchronously. In the latter case, a separate thread is being created for executing unit's main() function. If connected to a pipe using connect(), the first unit in the chain runs within the scope of the calling thread, the others run in separate threads.
The unit class is a subclass of component, and thus it inherits reference counting and delete notification mechanisms from component. Unit is declared in <pstreams.h>.
This interface is available only in the multithreaded versions of the library.
compref<instm> unit::uin is a reference-counted pointer to an input stream, that is unit's input 'plug'. By default uin refers to the standard input object pin. Typically both uin and uout are assigned by the user of the unit after instantiating a unit object. You may assign dynamically allocated stream objects to uin and uout - they will be freed automatically by the 'smart' compref pointer.
compref<outstm> unit::uout -- same as uin; represents the output 'plug' of the unit.
virtual void unit::main() is unit's main code. Override this method to implement functionality of your mini-process. Note that code in main() must avoid accessing static/global data, since it may be executed in a separate thread. You may choose to write a reusable unit, i.e. when main() can be called multiple times for the same object, however main() is protected from overlapping (recursive) calls, which means, you need not to write reentrant code in this function.
virtual void unit::cleanup() -- override this method to perform finalization and cleanup of a unit. This function is guaranteed to be called even if main() threw an exception of type (exception*) or a derivative.
void unit::connect(unit* next) connects a unit object to another object using a local pipe. Multiple units can be connected to form a chain. A user then calls run() for the first object; all other members of the chain are being started automatically in separate threads.
void unit::run(bool async = false) runs a unit object. This function calls main() for the given object and possibly for other units, if this is the first object of a chain. You can not call run() for an object which is not the first in a chain. If async is true, this function starts a unit in a separate thread and returns immediately. Use waitfor() to synchronize with the completion of a unit if started asynchronously.
void unit::waitfor() waits for the unit to terminate if run asynchronously. For unit chains, this method needs to be called only for the first object in a chain.
Example. Consider there is a unit type ugrep that performs regular expression matching and a unit type utextconv for converting various text formats. The code below demonstrates how to connect these units and run the chain.
#include <pstreams.h> #include "ugrep.h" // imaginary headers with unit declarations #include "utextconv.h" USING_PTYPES int main() { ugrep grep; grep.regex = "^abc"; grep.casesens = false; utextconv textconv; textconv.from = CONV_UNIX; textconv.to = CONV_WIN; // connect the two units and set up the input and output plugs. grep.uin = new ipstream("somehost.com", 8282); grep.connect(&textconv); textconv.uout = new outfile("output.txt"); // now run the chain; will read input from the socket, pass // through the grep and textconv units and write it to the // output file. grep.run(); }
See also: unknown & component, Streams


The portfolio was first started by finding a Bootstrap template that would best fit my vision for my portfolio. I looked on bootstrap free template and found a template called “Agency’ which best fit my theme I wanted to represent. Then I created a GitHub repository to fork the bootstrap theme and started working on my portfolio. First I started change the heading title of the webpage and the color them of the web page. Next I looked at images and photo that would best describe the vision for my portfolio. After I added the correct images for my starting page, I focused on the section of ‘Skills and Expertise’. For this section I looked at my top qualified skills that would best describe. After I selected the three best skills and I looked at the best icon that would best describe the skills and expertise visually. After this section was finished, I looked at ‘Portfolio of Projects’ to display on my website. I select three of my best projects to display on the portfolio page.
After I selected the three project, I added description to each of the projects. I also had to add screen shots related to the project. Once the ‘Portfolio’ section of the project was complete I moved on to ‘Experiences of career/co-op’. This section of the portfolio was to displayed my past and recent co-op/career experiences. For this section I also added icons related to the company in which I worked. One of the final section of the portfolio called ‘About Me’. This section was to quickly describe my current education accomplishments. For this section I added a paragraph about my education and a quick summary about myself. For this section I also add a display image about myself. And the final section in my portfolio was ‘Contact Me’. For this section I linked an email client to my portfolio page, that would allow the user to send me an email to contact me. Over all My Portfolio webpage was challenging and rewarding in that I learned a lot about web building and webhosting.


Event Venues
Creating any size detailed and decorated building/barn for all events, such as wineries, weddings, and large group gatherings.
Creating any size detailed and decorated building/barn for all events, such as wineries, weddings, and large group gatherings.


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Lennon
Wall
ICU


class AppTestHelper extends AnyRef
A class which is helpful when creating testers. Since configuration controllers can repeat stored configurations every II cycles, the "throughput" indicates after how many times of such repeats, a new result can be obtained. For example, if II = 2 and throughput = 2, we can obtain a new result every 4 cycles. However, it is not recommended to use this parameter, and we suggest users to update the targeted architecture or mapping parameters.
The "outputCycle" must be exactly right when the results are verified at output ports of the top module during the activating process, while if only the data obtained from LSUs is needed to be verified, it should be large enough.
- Alphabetic
- By Inheritance
- AppTestHelper
- AnyRef
- Any
- Hide All
- Show All
- Public
- All
Instance Constructors
-
new
AppTestHelper(bitStreams: Array[BigInt], schedules: List[Int], testII: Int)
- bitStreams
the configurations
- schedules
the schedules of modules
- testII
the targeted II
Value Members
-
final
def
!=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
##(): Int
- Definition Classes
- AnyRef → Any
-
final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
addInData(inDatas: Map[List[Int], Array[Int]]): Unit
Concat inDataMap with inDatas.
Concat inDataMap with inDatas.
- inDatas
a map between a list and the input data array
-
def
addInData(numLSU: Int, base: Int, inData: Array[Int]): Unit
Add a input data array into the corresponding map.
Add a input data array into the corresponding map.
- numLSU
identification number of targeted LSU
- base
the base address
- inData
the input data array
-
def
addOutData(outDatas: Map[List[Int], Array[Int]]): Unit
Concat outDataMap with outDatas.
Concat outDataMap with outDatas.
- outDatas
a map between a list and the output data array
-
def
addOutData(numLSU: Int, base: Int, outData: Array[Int]): Unit
Add a expected output data array into the corresponding map.
Add a expected output data array into the corresponding map.
- numLSU
identification number of targeted LSU
- base
the base address
- outData
the expected output data array
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
def
clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native() @HotSpotIntrinsicCandidate()
-
final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
equals(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
getBitStreams(): Array[BigInt]
Get the configurations.
Get the configurations.
- returns
the configurations
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native() @HotSpotIntrinsicCandidate()
-
def
getInData(numLSU: Int, base: Int): Array[Int]
Get the input data array.
Get the input data array.
- numLSU
identification number of targeted LSU
- base
the base address
- returns
the input data array
-
def
getInputPortData(): Map[Int, Array[Int]]
Get the map between the targeted input port and the input data array.
Get the map between the targeted input port and the input data array.
- returns
the map between the targeted input port and the input data array
-
def
getOutData(numLSU: Int, base: Int): Array[Int]
Get the expected output data array.
Get the expected output data array.
- numLSU
identification number of targeted LSU
- base
the base address
- returns
the expected output data array
-
def
getOutPortRefs(): Map[Int, Array[Int]]
Get the map between the targeted output port and the expected data array.
Get the map between the targeted output port and the expected data array.
- returns
the map between the targeted output port and the expected data array
-
def
getOutputCycle(): Int
Get the cycle we can obtain the result.
Get the cycle we can obtain the result.
- returns
the cycle we can obtain the result
-
def
getSchedules(): List[Int]
Get the schedules.
Get the schedules.
- returns
the schedules
-
def
getSchedulesBigInt(): BigInt
Get the schedules as BigInt.
Get the schedules as BigInt.
- returns
the schedules as BigInt
-
def
getTestII(): Int
Get the targeted II.
Get the targeted II.
- returns
the targeted II
-
def
getThroughput(): Int
Get the parameter indicating the throughput of mapping result.
Get the parameter indicating the throughput of mapping result.
- returns
a parameter indicating the throughput of mapping result
-
def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native() @HotSpotIntrinsicCandidate()
-
var
inDataMap: Map[List[Int], Array[Int]]
A map between a list and the input data array.
A map between a list and the input data array. The list consists of the identification number of targeted LSU and base address.
-
var
inputPortCycleMap: Map[Int, Int]
A map between the index of a opNode with "input" opcode and the ID of input port.
-
var
inputPortData: Map[Int, Array[Int]]
A map between the targeted input port and the input data array.
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @HotSpotIntrinsicCandidate()
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @HotSpotIntrinsicCandidate()
-
var
outDataMap: Map[List[Int], Array[Int]]
A map between a list and the expected output data array.
A map between a list and the expected output data array. The list consists of the identification number of targeted LSU and base address.
-
var
outPortRefs: Map[Int, Array[Int]]
A map between the targeted output port and the expected data array.
-
var
outputCycle: Int
The cycle we can obtain the result.
-
var
outputPortCycleMap: Map[Int, Int]
A map between the index of a opNode with "output" opcode and the ID of output port.
-
def
setInputPortData(arg: Map[Int, Array[Int]]): Unit
Set the map between the targeted input port and the input data array.
-
def
setOutPortRefs(arg: Map[Int, Array[Int]]): Unit
Set the map between the targeted output port and the expected data array.
-
def
setOutputCycle(arg: Int): Unit
Set the cycle we can obtain the result.
Set the cycle we can obtain the result.
- arg
the cycle we can obtain the result
- def setPortCycle(simulationHelper: SimulationHelper): Unit
-
def
setThroughput(arg: Int): Unit
Set the parameter indicating the throughput of mapping result.
Set the parameter indicating the throughput of mapping result.
- arg
a parameter indicating the throughput of mapping result
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
var
throughput: Int
A parameter indicating the throughput of mapping result.
A parameter indicating the throughput of mapping result. The default value is 1, and it is not recommended to use this parameter.
-
def
toString(): String
- Definition Classes
- AnyRef → Any
-
final
def
wait(arg0: Long, arg1: Int): Unit
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acl acl2012 acl2012-108 acl2012-108-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Yang Feng ; Dongdong Zhang ; Mu Li ; Qun Liu
Abstract: We present a hierarchical chunk-to-string translation model, which can be seen as a compromise between the hierarchical phrasebased model and the tree-to-string model, to combine the merits of the two models. With the help of shallow parsing, our model learns rules consisting of words and chunks and meanwhile introduce syntax cohesion. Under the weighed synchronous context-free grammar defined by these rules, our model searches for the best translation derivation and yields target translation simultaneously. Our experiments show that our model significantly outperforms the hierarchical phrasebased model and the tree-to-string model on English-Chinese Translation tasks.


Pirate (ARRR) is a cryptocurrency that solves the issue of financial privacy on the blockchain through forced anonymous transactions. Protect your wallet and transactions with Pirate’s completely anonymous network. With forced private transactions, your privacy cannot be compromised by another users’ activity on the network. If you wish to learn more, please join the official Pirate Discord at https://pirate.black/discord/ or message FishyGuts#5085, who will be happy to help out.
I highly recommend tuning into this. @wolfofwaves is one of the brightest devs I have met in this space. This project he is working on utilizing $ARRR is one of the coolest , yet least known endeavors for @PirateChain
Innocuous at first glance, the transfer of $15 million worth of USDT from ethereum to Liquid has big implications for the tether market and digital asset trading more broadly.
[dscrd-prt] <ph03nix> @jl777c care to share your thoughts?
[dscrd-prt] <jl777c> 15mil is small compared to the billions
[dscrd-prt] <jl777c> also the so called privacy is not very private when on a controlled chain like liquid chain
[dscrd-prt] <Llama> Is anyone here good at making videos?
GatewayBOT09-Jan-20 08:19 PM
[dscrd-prt] <Draeth> Not me
GatewayBOT09-Jan-20 09:13 PM
[dscrd-prt] <Draeth> Congrats @JiuCrypto, you were just promoted to deckhand :pirate:
GatewayBOT09-Jan-20 09:30 PM
[dscrd-prt] <CHMEX> Strob#3417 is on IMDB for his graphic video skills if I remember right he also did a pirate intro video
GatewayBOT09-Jan-20 09:46 PM
[dscrd-prt] <ectocooler> Can I get the bounty if I run it through 100 translations?
[dscrd-prt] <ectocooler> like, 100 translations and back to English
[dscrd-prt] <ectocooler> or better yet, if I translate it into Pirate Speak
[dscrd-prt] <Pwnz> Pirate Speak would be :shexy:
[dscrd-prt] <Draeth> Yesss
[dscrd-prt] <Pwnz> Cool idea haha
[dscrd-prt] <JiuCrypto> @Draeth Thank you very much, man!
[dscrd-prt] <Draeth> @ectocooler give me a sample of the pirate speak version of the website (just a small bit). If it's good, I'll give you ARRR to do it
[dscrd-prt] <ectocooler> One moment, translating "PirateChain (ARRR) is a 100% private send cryptocurrency. It uses a privacy protocol that cannot be compromised by other users activity on the network. Most privacy coins are riddled with holes created by optional privacy. PirateChain uses ZK-Snarks to shield 100% of the peer to peer transactions on the blockchain making for highly anonymous and private transactions."
[dscrd-prt] <JiuCrypto> Did someone look into HUSH's new tracking tool? According to them ZEC and another z-z project want to implement it. Could it be of interest for ARRR?
GatewayBOT09-Jan-20 10:01 PM
[dscrd-prt] <ectocooler> now, granted, I'm like a potato that has been in the oven for 60 mins at 425.
[dscrd-prt] <ectocooler> I'm baked
[dscrd-prt] <ectocooler> PirateChain (ARRR) be a 100% private send cryptocurrency. She be built of a privacy protocol that can withstand the surly winds of the seas, and from saboteurs from within her hull. Most ships in her class are plauged with "Optional Privacy" termites that bored holes in their hull. PirateChain, she was built with a keel using ZK-Snarks to protect her precious cargo, making it not only secure, but private and incognito.
[dscrd-prt] <ectocooler> quick and dirty version
[dscrd-prt] <ectocooler> went with "incognito" because saying it with a "pirate" accent made me laugh
[dscrd-prt] <Draeth> Hahaha awesome
[dscrd-prt] <ectocooler> anywho, hope it gave a smile
[dscrd-prt] <Draeth> Yea, I'm good with the pirate translation if you wanna do it
[dscrd-prt] <ectocooler> so also no robo pirate translators
[dscrd-prt] <ectocooler> this isn't a SPACE PIRATE ship
[dscrd-prt] <Draeth> Lol
GatewayBOT09-Jan-20 10:43 PM
[dscrd-prt] <JiuCrypto> Did someone look into HUSH's new tracking tool? According to them ZEC and another z-z project want to implement it. Could it be of interest for ARRR?