Pentesting or penetration testing is an ethical hacking process which involves assessing an application or an organization’s infrastructure for different types of vulnerabilities. This process of pen testing helps to exploit the various vulnerabilities within the system and the reasons for these vulnerabilities include certain misconfigurations, poorly designed architecture, insecure code, etc. Thus, by performing pen testing, it eventually helps to identify vulnerabilities and the process delivers actionable reports that clearly explain each vulnerability, specifically how to exploit them along with how to fix them.
There are many ways an organization can benefit through the process of penetration testing like:
Penetration testing in whole being a process of testing security of an application or a system is categorized as:
The penetration testing is conducted by pen testers who design and plan simulations and security assessments that are designed to probe any potential weaknesses within the system or IT infrastructure or web apps. They are also responsible to document all the findings and deliver them to the clients or employees or to the organization. These pen testers perform the process of this testing either manually or by using certset of automated tools.
| Manual Pentester | Automated Pentester |
|---|---|
| Manual efforts are more needed to get better results for testing business logic vulnerabilities | Automated tools can be used with very little human intervention, while manual testing cannot be performed for everything |
| Manual penetration testing takes longer time | Automated tools work faster and comparatively requires less time and perform the process with high speed |
| When there is new vulnerability or exploit released, most of the automated tools will have to wait for next update while humans can learn new technique and implement it quickly | This method of pen testing is best suited for testing targets with large number of pay loads |
| With manual testing the false positives are less when compared to automated testing | With automated pen testing, the false positives are comparatively more |
This entire process is comprised of multiple stages. They go sequentially as follows:
There are 3 usual approaches that any pentester would follow:
Black box pen testing is also commonly known as external penetration testing. In this approach, the pen tester has no information about the IT infrastructure of the organization. This process appears to be more like simulation of real-world cyber-attack to check the vulnerabilities in the system. Specifically, in this method, the pen testers act as cyber-attackers and try to exploit the vulnerabilities that exist in the system. This process usually takes a lot of time and can take even up to six weeks to complete.
White box penetration testing is also known as internal penetration testing, clear box, or even known as glass box penetration testing. In this approach of pen testing, the pen tester is provided with the complete information of the IT Infrastructure, source code, and environment. It is a much detailed and in-depth type of pen test done wherein every area is checked such as the quality of code and the basic design of the application. Moreover, this type of pen testing approach usually takes two to three weeks to get completed.
In this approach of penetration testing, the pen tester is provided with partial information of IT infrastructure, and code structure. It is a more focused approach as the pen tester has partial knowledge or access to internal network or web application and can focus some effort on exploiting the possible vulnerabilities which typically saves a lot of time and cost.
There are many popular tools meant for pentesting out there, but here are some of the most widely used ones:
It is an open-source tool used in penetration testing to detect flaws with an SQL Injection into an application. It automates the process of penetration testing and this tool supports many platforms like Windows, Linux, Mac, etc.
The web application attack and audit framework (W3af) is used to find any weaknesses or vulnerabilities in web-based applications. It is used to remove threats such as DNS, cache poisoning, cookie handling, proxy support, etc.
This is an open source tool and is available for many operating systems such as Windows, Solaris, Linux, etc. With this tool, the pen tester one can easily capture and interpret network packets. This tool provides both offline analysis and live-capture options.
It is one of the most commonly used penetration testing tools in the world. It is an open source tool that allows the user to verify and manage security assessments, helps in identifying flaws, setting up a defence, etc.
It is also called network mapper and is used to find the gaps or issues in the network environment of the organization. This tool is also used for auditing purposes.
It is one of the most trusted pen testing tools by many companies across the world. It helps in scanning IP addresses, websites, and completing sensitive data searches.
It is an open-source software which is used to detect vulnerabilities in passwords. This tool automatically identifies different password hashes and finds issues with the passwords within the database. Its pro version is available for Mac, Linux, Hash Suite, and Hash Suite Droid.
To conclude this documentation, we can say that Penetration testing is an effective testing process that helps to uncover the critical security issues of your system to check for exploitable vulnerabilities to their IT Infrastructure, or web applications. As cyber threats continue to increase, it has become essential for companies to keep their IT infrastructure, web apps and systems safe and secure from any possible threats and vulnerabilities. Therefore, penetration testing has become so important in today’s digital world with rampant cyber-attacks on the go.


{% extends "layout.html" %} {% block content %}
A Flask interface to imagehub to assist the management of cameras and the images saved and catalogued by this application. This application provides access to the Object Detection feature, as well as an Automated license plate reader (ALPR) if you wish to activate this feature.
{% endblock content %}


Bride shamed for wearing teddy bear nappy on her wedding day
A photo of a bride flashing what's under her wedding dress has garnered a lot of attention on social media
by Courtney Pochin, https://www.facebook.com/courtneypochinmirror/?modal=admin_todo_tourOn a woman's wedding day, you'd probably expect them to be wearing some lacy lingerie under their dress.
Perhaps even a garter on their thigh.
You might not expect to see a bride wearing a nappy, covered in cartoon teddy bears, as she's about to walk down the aisle.
But a photo of an unnamed bride-to-be lifting up her white dress and flashing her nappy proudly has been shared on social media.
And, unsurprisingly wedding shamers on Facebook have plenty of thoughts about the look.
It's unclear why the woman opted to wear the nappy on her big day - it could be that she needs to for a medical reason, such as a weak bladder.
But this thought didn't cross some people's minds and they have instead accused the bride of having an "adult baby kink" and wearing "teddy-printed fetish diapers".
After screenshotting the photos from a pal's profile, a woman posted them in a shaming group, writing: "I'm not kinkshaming (okay, maybe I am a little) but is bringing your daddy kink into your wedding just a bit weird?"
A different user agreed, saying: "That’s not a Daddy kink, that’s an adult baby kink.”
Someone else pointed out that if the couple getting married did share a kink, it would have been very "easy" to keep it between themselves.
"Yeah, maybe just not in public wedding photos," added another person.
However not everyone thought they should have to hide it.
Someone else said: "In my mind if it's two people sharing a kink that's getting married, I'd say it's the perfect time and place to incorporate it."
A sixth user claimed they hadn't even noticed the nappy because they were too busy looking at the "STUNNING" wedding dress.


| | |
- __builtin__.object
-
- NoAuthConfig
- TestConfig
-
- BloggerConfig
- ContactsConfig
class BloggerConfig(TestConfig) |
| | |
- Method resolution order:
- BloggerConfig
- TestConfig
- __builtin__.object
Data and other attributes defined here:
- blog_id = "<your test blog's id>"
- content = 'This is a <b>test</b>.'
- service = 'blogger'
- title = 'A Test Post'
Class methods inherited from TestConfig:
- email(cls) from __builtin__.type
- Provides email to log into the test account for this service.
By default uses GOOGLE_ACCOUNT_EMAIL, so overwrite this function if you
have a service-specific test account.
- password(cls) from __builtin__.type
- Provides password to log into the test account for this service.
By default uses GOOGLE_ACCOUNT_PASSWORD, so overwrite this function if
you have a service-specific test account.
Data descriptors inherited from TestConfig:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Data and other attributes inherited from TestConfig:
- auth_token = None
|
class ContactsConfig(TestConfig) |
| | |
- Method resolution order:
- ContactsConfig
- TestConfig
- __builtin__.object
Class methods defined here:
- get_image_location(cls) from __builtin__.type
Data and other attributes defined here:
- service = 'cp'
Class methods inherited from TestConfig:
- email(cls) from __builtin__.type
- Provides email to log into the test account for this service.
By default uses GOOGLE_ACCOUNT_EMAIL, so overwrite this function if you
have a service-specific test account.
- password(cls) from __builtin__.type
- Provides password to log into the test account for this service.
By default uses GOOGLE_ACCOUNT_PASSWORD, so overwrite this function if
you have a service-specific test account.
Data descriptors inherited from TestConfig:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Data and other attributes inherited from TestConfig:
- auth_token = None
|
class NoAuthConfig(__builtin__.object) |
| | |
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Data and other attributes defined here:
- auth_token = False
|
class TestConfig(__builtin__.object) |
| | |
Class methods defined here:
- email(cls) from __builtin__.type
- Provides email to log into the test account for this service.
By default uses GOOGLE_ACCOUNT_EMAIL, so overwrite this function if you
have a service-specific test account.
- password(cls) from __builtin__.type
- Provides password to log into the test account for this service.
By default uses GOOGLE_ACCOUNT_PASSWORD, so overwrite this function if
you have a service-specific test account.
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
Data and other attributes defined here:
- auth_token = None
- service = None
| |


Methodology driven research:
The wrong way round
Linked Open Data
Resource Description Framework
SPARQL Protocol and RDF Query Language
Historical Geographic Information System
Census data didn't generally record the Polish nationality, especially before the ninth census of 1870.
A possible solution might be to use the Castle Garden and the method developed by the economic historian Dr. Yannay Spitzer to identify Jewish immigrants, which were usually not recorded as such, utilises Soundex - a phonetic algorithm for indexing names by sound, as pronounced in English.
Know Whence You Came: classifying immigrant origins in large-scale textual microdata. Presentation 2016
Networks
Temporal and spatial corpus analysis
Sentiment and topic modelling
Mapping and networking, spatially and temporally
In comparison with different immigrant societies, such as the hometown associations (HTAs)
Can be geo-referenced and juxtaposed with different waves of immigration and their different characteristics.
The American newspaper opinion on the January uprising,
in lieu of the ongoing civil war and the Russian-Union relations.
Can be temporally situated as well.
The Polish-American relations and the imagined other
The Polish émigrés attitude towards the civil war and the unique Polish nationalism
The international context of both the Civil War and of the Polish insurgency as it arises from the patterns, qualitatively and quantitatively


BEAUTIFUL COVER IMAGE
Upload your own cover image to make your registry more personal. Pick your favorite shot from the engagement shoot or choose a lovely vacation photo.
ADD GIFTS FROM ANYWHERE
Our simple bookmarklet lets you add items from any online store. You won't be locked into a single retailer, and you won't need to manage multiple registries.
CATEGORIES FOR YOUR LIFESTYLE
Go beyond the traditional gifts. Our categories will get yout hinking about how you like to Play, what makes Journeys together special, and the things you find Delicious.


Original fields as they were loaded from data source.
Object, default = {}
If yous form has .recid and .url
properties defined, the form data will be loaded from remote data source into the .record object.
A copy of the record data will be saved into .original object. However, as user changes the data in the form the
.record object gets updated. The .original stays the same.
You should use this property during run-time and after it was loaded from the server.


Several arrested in Oman for crimes
by Times News ServiceMuscat: Three people, including two women of foreign nationality were arrested by the Department of Crime Combat on charges of violating public morals. Legal proceedings against them have been completed, the Royal Oman Police (ROP) said.
In another incident, the ROP said in a statement, "The General Directorate of Criminal Investigations arrested three people of African nationalities for theft from homes and the case is underway."


Developed as a part of final project for Information Visualization class in a team of three with Puneet Sharma and Proxima DasMohapatra. Code Website Full Report
One of the most interesting aspects of the game of tennis is the court surface itself and how different players adopt different playing styles in order to increase their chances of winning. So for this project we decided to present a study of these three main surfaces, Grass (at Wimbledon), Clay (at the French Open) and Hard courts (US Open and Australian Open) and various metrics that highlight a certain aspect of the game.
The first step in the process was studying previous work and research done in the field of sports info graphic and information visualization. We specifically looked into tennis visualization and the affects of court surfaces on playing style. (Please see the full report for detailed analysis of related work)
After deep dive into related work and research we had to look for a dataset that would serve the purpose of explaining surface. We found a lot of data sets containing tennis stat. We finally used a point-by-point game data of 5 years of grand slams (Data source). The data had to be cleaned and compiled in a form that could be used for visualizing. We used different tools for the purpose, starting from simple manipulation in spreadsheet to Python, R and MySql.
One of the most important aspect of information visualization that captures audience attention is creating a narrative around the information. We recognized the need to explain the game and giving a background of the tournament in order to set a stage for the presentation. To accomplish this purpose we decided to start the presentation with info graphic. This info graphic was first designed on paper in several lo-fi prototypes. We finalized the prototype using adobe illustrator after getting feedback and revising the paper prototype. The info graphic gave introduction to the tournament, different surfaces and the effect of surface on game.
For next part of the presentation we wanted to orient the audience geographically. For this we created an interactive map in D3 highlighting all the place where tennis tournaments in different court (hard, grass or clay) happen around the world. It also highlighted the relative abundance of hard court compared to grass and clay court.
After the map we wanted to show the four metrics to highlight and the affect of surface on the game. For this purpose we created four interactive dashboards and storyboards using Tableau. Users could interact and explore interesting patterns in the dashboard. We also added supporting text and explanation with the dashboard.
For the last part of the visualization, we brought together all the data in an interactive parallel coordinate chart to show how these metrics relate to each other.


Research and analysis
Research report presenting the final annual report of the subject knowledge enhancement courses programme.
Ref: ISBN 978-1-78105-257-0 , DFE-RR301A PDF , 1.71MB , 132 pages
Ref: ISBN 978-1-78105-258-7 , DFE-RR301B PDF , 4.71MB , 284 pages
This evaluation looked at:
This report is the final annual report of the evaluation.
The accompanying technical report analyses survey findings.
Published: 25 June 2013
From: Department for Education
Part of: Teaching and school leadership


password.ly
Password successfully generated
Your new password for XXX is:
Save this to my profile
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Psalms 104:12
By them shall the fowls of the heaven have their habitation, which sing among the branches.


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I just joined Twitter so I can keep up with all the fun new things that people keep coming up with.
There seems to be a lot of cool AI tools being launched. I saw this one that removes backgrounds from images of people and gives you a PNG with transparency.
I used a picture of myself up at the Clifton suspension bridge. It's from Facebook, so you can see the compression.
Here I am with my background removed! I floated the image and used the CSS shape-outside: url("image.png")
to wrap this text around it.
As you can see, I still need to do some adjustment of the spacing. I can't seem to get it to work using padding. I'll have another go and update this article!
Look up shape-outside on MDN web docs.
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WITNESS LIST Intergovernmental Relations Committee September 13, 2006 - 1:00P Interim Committee Charge 1 ON: Allison, Jim (County Judges and Commissioners Association of Texas), Austin, TX Chatham, Donna Executive Director (Association of Rural Communities in Texas), Austin, TX Lee, Donald Executive Director (Texas Conference of Urban Counties), Austin, TX Moore, Michael D. (Texas Association of Builders), Austin, TX Morales, Erich Assistant County Attorney (El Paso County), El Paso, TX Steinberg, Jonathan (Texas Water Development Board), Austin, TX Stone, Charles (Office of Rural Affairs), Austin, TX Ward, J. Kevin Executive Administrator (Texas Water Development Board), Austin, TX Interim Committee Charge 3 ON: Allen, Joe B. (Association of Water Board Directors), Houston, TX Cabrales, John Public Information Officer (City of Denton, Texas), Denton, TX Huffman, Laura J. Assistant City Manager (City of Austin), Austin, TX Icken, Andrew (City of Houston), Kingwood, TX Nelson, Ted (Newland Communities), Houston, TX Shepherd, Jim (City of Parker), Dallas, TX Interim Committee Charges 1 and 3 ON: Miertschin, Gene Commissioner (Kendall County), Boerne, TX Interim Committee Charge 1 Registering, but not testifying: On: Cabello, Jr., Homero Director, Office of Colonia Initiatives (Texas Department of Housing and Community Affairs), Austin, TX Sugg, Paul (Texas Association of Counties), Austin, TX Interim Committee Charge 3 On: Gold, Mary C. Supervisor (Texas Comptroller of Public Accounts), Austin, TX Hefner, Mary Anne (Association of Water Board Directors), Kingsland, TX Pratt, Mary Helen Area Manager (Texas Comptroller of Public Accounts), Austin, TX Interim Committee Charge 1 Providing written testimony: On: Henneberger, John (Texas Low Income Housing Information Service), Austin, TX Interim Committee Charge 3 On: Howe, Donna (Urban Area Suburban Exchange), Austin, TX


Monte Carlo Pi Simulation
In this test, we are attempting to use monte carlo simulation to estimate the value of pi. We start with a square (lenth=width=height=2), and inscribe a unit circle inside of it (r=1.0). This means the area of the circle is pi, and the area of the square is 4. Put as a ratio (called p) of area of circle compared to area of square, we have p = pi/4. So, what we want to do is estimate the ratio with monte carlo simulation, and multiply it by 4 -- thus giving an estimation of pi.
We will be using html5 canvas. See how the pretty circle is in the pretty box? Good. When you click the "Run Simulation" button below, we will run a number of iterations (that you control) and estimate pi.
| Expected | Actual | Error % | |
| Num Points | 0 | 0 | — |
| Num in Circle | 0 | 0 | 0 |
| Ratio | 0 | 0 | 0 |
| Pi | 3.141593 | 0 | 0 |
Number of iterations:


Web Developer
Bartender
Geek
App that reveals all currently open restaurants near user.
Responsible for overall design and concept, map functionality, geocoding, and rendering of list.
Built with Bootstrap, Javascript/jQuery, Google Places/Geocoder/Maps/Fonts
Business database that holds inventories of glassware, silverware, wine, regulars, and employees.
Responsible for all aspects of development
Built with React, Node.js, Express, MDBootstrap, Mongoose, MongoDB, Passport
Use the username: test and password: testsubject in order to use the app.
Allows a user to enter a City in the US and a Job and it will show them the average salary in that location as well as average cost of living. Searches can be saved for later viewing.
Responsible for server creation, routing, API calls, and rendering of received searches.
Built with Javascript/jQuery, MDBootstrap, Express, Node.js, Firebase, Google Places


CS2 Assignment 7: Network Programming
Due Tuesday, February 24, 2015, at 17:00 PST
Introduction
This is the CS2 assignment on network programming.
When finished, please enclose your submission as a ZIP file named cs2week7-[NAME].zip or a tar.gz file named cs2week7-[NAME].tar.gz, and upload it to the Week 7 assignment module on Moodle.
Assignment Background
Basics
Computer networks are ubiquitous in our world. Everything from email to social networking to online commerce depends on computers in very different physical locations, even thousands of miles apart, being able to communicate with each other and exchange data. It takes a massive amount of interconnected infrastructure and specialized equipment to be able to accomplish this goal for a large amount of users; we call the product of this interconnection "the Internet".
Whether we're talking about the four-node ARPANET of late 1969 or the billions of computers connected by the modern Internet, any computer network has a few common elements:
- Networks are built to connect many hosts, or host computers.
- In between the hosts, switches and routers guide information from host to host.
- Hosts and routers are connected to each other by links, which carry packets. Usually we think of links as wires, but wireless links are also common.
Every computer on the network has an address by which it is identified. This is usually an IPv4 address, that is, an address of the form "<IP_ADDRESS>" - four numbers from 0 to 255, for a total of 4,294,967,296 possible addresses. Because numbers are often difficult to remember, the modern Internet supports hostnames, a mechanism by which each IPv4 address can be associated with a human-readable name. Hostnames are usually assigned by a DNS server, a special type of host that maintains mappings from hostnames to IP addresses.
Because a given host might run more than one network application, the most common infrastructure-level protocols have a notion of port numbers - basically a number assigned to a particular type of traffic to different types of traffic, so that the host can assign the correct type of traffic to the correct application that is listening for it. For instance, most HTTP traffic runs on port 80, while most SSH traffic runs on port 22; the different port numbers ensure that an HTTP client doesn't receive unwanted SSH traffic and vice versa.
Sockets
Most of the low-level operations required for communicating on a modern computer network are handled by the operating system, which provides a networking stack that applications can use. A typical application never needs to access the networking hardware directly. Instead, the operating system provides one or more sockets - abstractions for the network device - that a program can use to send and receive data.
There are two main types of sockets: TCP sockets and UDP sockets. TCP sockets require a connection before data can be sent or received, and provide guaranteed in-order delivery of stream-based data. Basically, an application can send as much data as it wants on a TCP socket without having to divide it up and have the assurance that all of it will get to the destination and be read by the destination in order. This guarantee is costly: no guarantees are made on delivery time. Consequently, TCP is good for applications that require reliable delivery of data, like browsing the Internet or reading email.
On the other hand, UDP sockets are connectionless - they can send and receive arbitrary packets to anyone at any time - and UDP packets are not encumbered by flow control. However, UDP packets are not guaranteed to arrive in order, or at all. Consequently, UDP is good for applications that require immediate delivery of data but can recover from a few dropped packets, like video streaming and computer games.
Sockets are provided by the operating system; Linux uses the POSIX sockets API, while other operating systems provide their own APIs. Because the POSIX sockets API can be difficult for a new programmer to understand, we provide our own wrapper (in NetworkWrapper.h and NetworkWrapper.cpp). This wrapper performs a large amount of the necessary work for you; you need only invoke the correct operations corresponding to what you need to do.
The CS2 Socket API
Everything in the CS2 socket API lives in the CS2Net namespace. This is done to prevent confusion between the CS2 socket API and other functions or objects that may have similar names to those provided by our API.
The core of the CS2 socket API is the CS2Net::Socket object. This object represents an operating-system socket. We don't know upon instantiation whether it is a server socket (listens for incoming connections) or a client socket (connects to a remote host); what we do with it after instantiating it determines its identity.
Client-Side Operations
The first thing we do with an empty socket is connect to a host:
CS2Net::Socket sock; std::string hostname("foo.example.net"); uint16_t port = 47000; int ret = sock.Connect(&hostname, port); if(ret < 0) { // something terrifying happened x_X if(ret == -1) { ERROR("connect error: %s", strerror(errno)); } else if(ret == -3) { ERROR("connect error: %s", gai_strerror(errno)); } else { ERROR("programmer is doing it wrong"); } } else { // we connected yay do stuff; }
This could fail for any number of reasons: connecting may not make sense because we're already connected to something, or the network cable is not connected, or the remote host might be refusing connections. Suppose we can connect successfully, though. We can now send and receive data.
Suppose we know that we have some data incoming. We can do this:
CS2Net::Socket sock; // ... connect sock ... std::string * incoming = sock.Recv(1024, false); if(incoming == NULL) { // bad stuff happened ERROR("recv error: %s", strerror(errno)); } else { // we got some data yay do stuff; }
The CS2Net::Socket::Recv() function is blocking. That means that, when run, it stops the entire thread until some amount of data is available. The second parameter to CS2Net::Socket::Recv() determines how 'hard' this block is: if false, then the function unblocks as soon as any amount of data is available, while if true, then the function blocks until all of the requested data has come in or a read error of some kind has occurred. While it is possible to have a non-blocking socket (that is, one for which I/O operations will error instead of blocking if no data is available), proper non-blocking I/O is a subtle topic beyond the scope of this assignment.
Now suppose we want to send some data. We can do this:
CS2Net::Socket sock; // ... connect sock ... std::string to_send("some stuff to send"); int ret = sock.Send(&to_send); if(ret < 0) { // bad stuff happened if(ret == -1) { ERROR("send error: %s", strerror(errno)); } else { ERROR("programmer is doing it wrong"); } } else { // we sent some data yay do stuff; }
Sending, like receiving, is a blocking operation, but you will probably not observe send-blocking with the small amounts of data we are sending for this assignment.
Now suppose we want to disconnect this socket. This happens automatically when a CS2Net::Socket object gets destroyed or goes out of scope. Alternatively, we can do this to disconnect a socket without destroying it:
CS2Net::Socket sock; // ... connect sock ... // ... do stuff ... int ret = sock.Disconnect(); if(ret < 0) { // bad stuff happened if(ret == -1) { // you might actually be able to ignore these errors // but we'll print them anyway ERROR("disconnect error: %s", strerror(errno)); } else { ERROR("programmer is doing it wrong"); } }
Polling Sockets
Suppose your application can't afford to wait to receive on a socket all the time, because there is other processing that the application must do in the background. This is common for GUI-based applications (for example, the chat client you will be completing). Alternatively, suppose your application needs to check multiple sockets and can't afford to wait on each one in turn.
The operating system provides a mechanism to wait on multiple sockets at once, with an optional timeout, and mark the socket or sockets that are ready for reading or writing. Our abstraction layer exposes this polling functionality (which is otherwise not very easy to set up).
For one socket, the setup looks something like this:
CS2Net::Socket sock; // ... connect socket ... std::vector<CS2Net::PollFD> poll_vec(1); poll_vec[0].sock = sock; poll_vec[0].SetRead(true); // now do the poll (10 ms timeout) int poll_err = CS2Net::Poll(&poll_vec, 10); REQUIRE(poll_err >= 0, "error on poll!?"); // is there a hangup or error? if(poll_vec[0].HasHangup() || poll_vec[0].HasError()) { // o noes there's a hangup and/or error handle error; } // did we get anything to read? if(poll_vec[0].CanRead()) { // yay the first socket is readable do stuff; }
This code is not hard to extend to multiple sockets: one need only add more elements to the poll_vec vector. Notice that the CS2Net::Poll() function modifies the constituent CS2Net::PollFD objects in place, so for multiple sockets, you would iterate over the same vector you provided to check the results for each socket of interest.
Observe the following: a socket can report that it has data to read, but a subsequent read may return no data (without blocking). This indicates that the socket has been closed from the other end. You will need to detect this condition and handle it accordingly.
Server-Side Operations
We consider the flip side now: other applications are connecting to us, and we need to handle incoming connections. We need to bind this socket first:
CS2Net::Socket listener; CS2Net::Socket * incoming_conn = NULL; // bind to some arbitrarily chosen port // with a backlog of 3 connections allowed int err = listener.Bind(31337, 3); REQUIRE(err == 0, "Failed to bind!");
In actuality, you would subsequently have to then tell the socket to listen for incoming connections, but our wrapper does that automatically for you (because there are no common cases where you would bind without listening).
Now that we have a socket that is listening for connections, we can accept connections as they come in:
CS2Net::Socket listener; CS2Net::Socket * incoming_conn = NULL; // ... bind socket ... incoming_conn = listener.Accept(); REQUIRE(incoming_conn != NULL, "Failed to accept!");
The CS2Net::Socket::Accept() function is also a blocking function: it blocks until there's a connection to accept. It outputs a newly allocated CS2Net::Socket object which can be used to send and receive from the incoming host as normal. When you're finished with this object, it must be deallocated via delete (which disconnects the other end automatically).
Because accepting a connection is a blocking operation, the CS2Net::Poll() function also supports polling "listener" sockets, although such sockets don't ever send or receive data. If a listener socket has a pending connection, then it will report when polled that it has some data to read, which allows a server to accept new connections as they come in without having to block an entire thread to do so.
Prerequisites
These are the prerequisites for getting this assignment to compile (ubuntu package names):
- g++ 4.6.x+
- libgtk2.0-dev (and dependencies)
- libglade2-dev (may not actually be a prereq?)
Assignment (20 points)
Part 1: First Steps
You'll need to get comfortable working with the network wrapper first before you can tackle the featureful chat client. To that effect, we'll ask you to complete some simple tasks.
We suggest that you outline each task before actually trying to write code. You do not need to submit your outlines, but writing them up will help you better understand what you will need to do.
For rate-limiting, you can use sleep() or usleep() (both defined in unistd.h) or a similar mechanism. You should not test your code without at least attempting to perform rate-limiting. Keep in mind as well that whatever you send to the server will be rebroadcasted to every connected client.
Part 2: The Featureful Chat Client
This next part will involve a bit of GTK+ work. You won't have to touch the UI itself (too much), but you'll need to know at least roughly how things are laid out. Open up src/client2.h and src/client2.cpp and follow along.
The main() function loads a description of the user interface for this featureful chat client, and then connects various callbacks to particular elements. Whenever a user interacts with any element in a GTK+ user interface, a signal is emitted, and the callback registered for that particular signal on that particular element gets called; for instance, when a user clicks on the "Connect" button, the ShowConnectDialog() function gets called, because it's registered as the handler for that button's "clicked" signal. These callback registrations are performed by main(). After these callbacks are set up, main() orders the main window to be shown, and then runs the GTK+ main loop.
Most of the actually-important code lives in the callbacks. Here's what each one is supposed to do:
- PollSocket() is called whenever GTK+ has nothing better to do. This function is supposed to poll the client's connection socket for incoming data, given that the connection is open and data is available to read.
- ProcessChatLine() is called whenever a user presses the Enter key in the chat entry box. This function is supposed to take the contents of the entry box and transmit them as a chat message to the remote party.
- ShowConnectDialog() is called when the user clicks on the Connect button in the toolbar. This function will display the connection dialog. You do not need to modify this function.
- DisconnectCallback() is called when the user clicks on the Close button in the toolbar. This function will do everything needed to disconnect from the server. You do not need to modify this function.
Additionally, there are several helper functions:
- DoConnect() and DoDisconnect() perform the actual socket manipulations required for connecting and disconnecting from the server.
- SendMessage() sends arbitrary messages of particular message types to the remote server. Message formats are discussed below.
- AddLineToBuffer() adds a line of text to the chat buffer. You don't have to modify this code.
- SetUserList() sets the contents of the user list on the right side of the screen. You don't have to modify this code.
The messages sent to and received from the server are structured in a specific manner, at the byte level:
- The first byte (0x00 - 0xFF) encodes the message type. The message types are defined in CS2ChatProtocol.h.
- The next two bytes encode the payload size in little-endian format. That is, the least significant byte comes first; decimal 1000 is encoded as E8 03. Note that this is identical to the byte order on the X86 platform, and is directly opposite to network byte order (which encodes numbers in big-endian format by convention).
- If the payload size is nonzero, then the remaining bytes constitute the payload.
When you're reading in such a packet, you should first read in the three-byte header and interpret it. Only if the payload size is nonzero should you attempt to read in the payload (as trying to read zero bytes does block.
- DoConnect() needs to attempt to open a connection to the specified server; if this succeeds, it should proceed to send the requested username (in the correct type of message, not by itself!) and wait for an AUTH_OK message. Upon receiving an AUTH_OK message, it should set the connected global variable to true. If it encounters an error at any step, it should force the socket disconnected (if applicable) and display a suitable error message.
- PollSocket() needs to poll the open socket and handle any incoming messages properly. It should report any errors appropriately.
- EncodeNetworkMessage() needs to create and return a valid message whose bytes are as specified above. Be sure to run the accompanying testsuite to test for this function's correctness.
- Note: this function is defined entirely in client2.h. You can test its correctness by building the provided testsuite (make testsuite).
- SendMessage() needs to send messages properly on the open socket. It should report any errors appropriately. This function should utilize the EncodeNetworkMessage() function to create the actual message sent over the open socket.
- ProcessChatLine() needs to send chat messages over the network instead of echoing input to the chat buffer.
You can test your chat client by connecting to halo.cms.caltech.edu, port 47002.
Part 3: Some Server-Side Code
Now that we've done some client-writing, we should approach the problem of server-writing.
Part X: Miscellaneous Items
If you have any questions about this week's assignment, please contact<EMAIL_ADDRESS>or show up at any TA's office hours.


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EXTENSIONS OF RINGS AND MODULES by KIM LIN CHEW a B. Sc., Nanyang University, Singapore, 1960 M. Sc., The University of Auckland, N. 2.,1962
A THESIS SUBMITTED IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF Doctor of Philosophy in the Department of
Mathematics
We accept this thesis as conforming to the
required standard
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Hed... davena ogpeooouo@oon00eeoeoncogngunvngd oc o0 ®@ .
eecsessceceososeoceseoooeovc708 @vnereasesevnosvsanvneevogods
THE UNIVERSITY OF BRITISH COLUMBIA April, 1965


Before Change
"Creating policy evaluation worker {}".format(
worker_index) +
" on CPU (please ignore any CUDA init errors)")
elif not tf1.test.is_gpu_available():
raise RuntimeError(
"GPUs were assigned to this worker by Ray, but "
"TensorFlow reports GPU acceleration is disabled. "
"This could be due to a bad CUDA or TF installation.")
else:
self.policy_map, self.preprocessors = self._build_policy_map(
policy_dict, policy_config)
After Change
"Creating policy evaluation worker {}".format(
worker_index) +
" on CPU (please ignore any CUDA init errors)")
elif (policy_config["framework"] in ["tf2", "tf", "tfe"] and
not tf.config.list_physical_devices("GPU")) or \
(policy_config["framework"] == "torch" and
not torch.cuda.is_available()):
raise RuntimeError(
"GPUs were assigned to this worker by Ray, but "
"your DL framework ({}) reports GPU acceleration is "
"disabled. This could be due to a bad CUDA- or {} "
"installation.".format(
policy_config["framework"],
policy_config["framework"]))
self.multiagent: bool = set(
self.policy_map.keys()) != {DEFAULT_POLICY_ID}
if self.multiagent:


Tennis: Nadal delivers Davis Cup title for Spain
MADRID: Hosts Spain made light work of a youthful Canadian side to win the inaugural edition of the new-look Davis Cup and claim the team trophy for a sixth time on Sunday (Nov 24).
Fittingly it was Spain's talisman Rafael Nadal who sealed the triumph, beating 20-year-old Denis Shapovalov 6-3 7-6(7) to rack up his eighth victory in eight matches during a gruelling week.
Playing for the fourth successive day, the 33-year-old was surely tired and it began to show as Shapovalov fought to keep Canada alive in their first Davis Cup final.
Nadal saved a set point in the second-set tiebreak before claiming his 29th successive Davis Cup singles win.
Spain got off to a flying start in front of a sell-out 12,500 crowd in La Caja Magica as Roberto Bautista Agut returned to the team days after the death of his father to beat Felix Auger-Aliassime 7-6(3) 6-2.
That left Shapovalov facing mission impossible against the 19-time Grand Slam champion but the stylish left-hander threatened to put the Spanish fiesta on hold in a combative second set as the zip went out of Nadal's legs.
Nadal would not be denied though as he delivered Spain's first title since 2011.
It completed a remarkable week in the Spanish capital which has been hosting the new version of the 119-year-old event featuring 18 nations.


{% extends "layout.html" %} {% set no_robots = True %} {% block title %}Login Required{% endblock %} {% block content %}
The page you requested was not found, or viewing this page requires a user account. If you have an account you can login using the toolbar above. If you do not yet have an account you can request an account invitation.
{% endblock %}


@* * Copyright 2021 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import model._ @import config.AppConfig @import model.EmailOptionChoice.EmailOptionChoice @this(main: MainView, applicationConfig: AppConfig) @(emailOptionChoice: EmailOptionChoice)(implicit request: Request[_], loggedInUser: LoggedInUser, messagesProvider: MessagesProvider) @drawEmailAllUsersInformation() = @{
You can only email all users if your message is about:
You can only email all users based on their API subscription if your message is about:


Caremel
Vanila
Strawbwrry
Chocolate
Special
Birthday
Wedding
Orange
Nuts
Luxury
Cocho
Cupcakes
Cakes
Chocolates


10 CLSA India employees may join Jefferies: ET NOW
CLSA analysts Mahesh Nandurkar and Ashish Agrawal are among those employees who are making the switch.
by ET NowMumbai: Around 10 senior employees of Asian securities firm CLSA’s India unit are likely to join rival Jefferies, ET NOW reported on Monday citing sources.
These include employees from research as well as sales division, report said.
CLSA analysts Mahesh Nandurkar and Ashish Agrawal are among those employees who are making the switch.
Emails sent to CLSA and Jefferies seeking a confirmation were not yet replied to.
Christopher Wood was appointed as global head of equity Strategy at Jefferies in May. Wood, one of the top-ranked market strategists, joined Jefferies from CLSA, where he spent around two decades.
Wood’s exit from CLSA earlier this year was the latest in a string of high-level resignations at the rocked Hong Kong-based securities firm in recent times.


@(metaData: model.MetaData)(implicit request: RequestHeader) @import views.html.fragments.inlineSvg @main(model.HostedPage(metaData)) { } {
Advertiser content
ZOE integrates the most advanced electric technology. More than 60 patents have been filed under design, innovations in service autonomy, ease of use and connectivity. ZOE is fitted with a "Range Optimizer" system which enhances the battery life, whatever the driving conditions.
This content was paid for and produced by Renault. For more information see our Because I rock it doesn't mean my heart is made of stone.


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What happened
Reagan Bramlish, a junior studying theater and a student worker at West 82, who uses they/them pronouns, said their coworkers at West 82 were contacted by management July 14 about the written pronouns. Bramlish said they were upset about the situation.
“This is 2021, we're literally supposed to be getting more progressive,” Bramlish said. “OU, I thought, was known for being diverse and inclusive. And then hearing that someone's like, ‘take those off’ as if it's a gross thing or a bad thing, was awkward and embarrassing.”
Charli Lucas, a senior studying media who works as an office coordinator at West 82, said West 82’s management put the student leaders in charge of relaying the information to the other employees.
“One day I came into work and my coworker told me that the one man who worked in the building … had told her that we needed to tell everyone that they were to only have their names on their name tags,” Lucas said in an email.
After hearing of the circumstances surrounding the name tags, Bramlish posted to Twitter to express their concerns, drawing attention from OU.
“Student employees had been writing and drawing things on their name tags that weren't approved in the past,” Carly Leatherwood, a university spokesperson, said. “Unfortunately nobody came to leadership and asked about the pronouns, and so basically, since that social media post went up, leadership reacted pretty quickly.”
The misunderstanding led to instant action from the workers who were there that day.
Lucas said she refused to tell employees they could not have their pronouns on their name tags, and others went that day to raise awareness and advocate for the situation in collaboration with the LGBT Center.
Micah McCarey, director of the LGBT Center, said several students came to the LGBT Center with the concern and said someone also emailed the Division of Diversity and Inclusion, so he knew something needed to be done. McCarey said he wasn’t extremely concerned by this specific occurrence because previous, similar issues had been resolved quickly.
In addition to reaching out to the LGBT Center for assistance, Lucas said West 82 student workers created a petition for those who wanted to keep their pronouns on their name tags.
“The employees were fired up and were eager to sign the petition we created,” Lucas said in an email. “Anyone who didn't have their pronouns on their name tag did by the end of the day. We were preparing to fight.”
However, the fight was thankfully a short one.
Following West 82’s student workers’ efforts, the issue was resolved within the day, and Gwyn Scott, the associate vice president of auxiliaries, announced to the culinary staff that name tags can consist of student’s first name and pronouns.
“We have completely re-evaluated the name tags in Culinary Services now,” Leatherwood said. “And so the university will be printing approved name tags with both the first name and the pronouns.”
Coming to a better understanding:
One’s pronouns typically correspond to their gender identity, which may not match their sex. A person’s gender is defined socially and mentally, while sex is determined by one’s biological reproductive system according to the American Medical Women’s Association.
For example, someone who identifies as cisgender means their gender identity matches their sex. People can also identify nonbinary, meaning regardless of sex, they do not identify with the typical male or female binaries, or transgender, meaning their sex does not correlate with their gender.
The conversation about pronouns and gender identities have become more prevalent at universities around the country as issues like this arise, and as more institutions try to work toward more inclusive policies.
“I would not be surprised if we … continue to see stories like this, and activism for people advocating for that,” McCarey said. “It's like a micro-aggression ... each time someone makes an assumption about what pronouns you use based on your appearance, your gender expression, and they get it wrong. So if we can remove that barrier to guessing someone's pronouns by just openly putting them on a name tag, that it's going to probably decrease the number of times that misgendering happens."
Additionally, along with a lack of acknowledgement individuals who are not cisgender often deal with, transgender and gender nonconforming people also face violence and fatalities due to intolerance within society.
According to an article from The Human Rights Campaign, so far in 2021, more than 30 transgender and gender nonconforming people have been killed. In 2020, more than 40 were killed.
In response to the need for changes in visibility, OU created a preferred names and pronouns policy in 2015 and allows students to enter their pronouns, alongside the name they prefer being called, into the university’s student portal so that it shows up on class rosters and other university records. For faculty and staff on the other end, definitions and examples are provided for when to use a student’s preferred name, according to OU’s Administrative Policy Handbook and the Preferred Names FAQ page, which requires staff, faculty and students to use correct identification in every situation where a legal name is not required for documentation purposes.
The policy change allows for students, including those who identify differently than the name and gender they were assigned, to list the way they should be referred to in a standardized record, so they can be addressed correctly by the faculty and staff at OU.
Lucas believes the updated policies that came to Culinary Services name tags after what happened at West 82 will better correlate with OU’s Preferred Pronouns Policy, which provides groundwork for the university’s goals to make sure every person at OU is respected for who they are.
“Even if the majority of the students identify with the pronouns they were assigned at birth, it still gives an opportunity for those who don't identify that way to feel comfortable and included,” Lucas said in an email.
Student experiences with university policies
Ethan Levingston, a junior studying integrated media who uses they/them pronouns, said professors have generally been inclusive and respectful when using their pronouns.
“With some professors I've had, they've been really good when doing introductions. They include pronouns. Some professors end emails with pronouns,” Levingston said. “I had a professor write a recommendation letter for me and they used gender neutral they/them pronouns.”
Luvina Cooley, a junior studying anthropology who is a transgender woman, said her experience has been positive in her time at OU, although she knows of people who haven’t had the same experiences.
“There have been some issues of professors not accepting pronouns, especially if they're neo- pronouns, or like even just a singular they/them,” Cooley said.
Neo pronouns are pronouns that can be used to avoid gendered language around an individual, according to The New York Times, and can, for example, include “ze/zir” and a range of others.
“I know that there have been students who use those who have had issues with those, which I think is really frustrating because it conveys the message that we're accepting, to an extent, and that's not the way it should be,” Cooley said.
Carmen Szukaitis, an undecided sophomore who is a transgender woman, said although she has felt comfortable, she knows a lot of other students haven’t.
“My experience has been pretty positive here, like, I've never really felt different, or made to feel different,” Szukaitis said. “People have been super receptive of my pronouns, but I know that isn't always the case if a person who identifies as nonbinary or trans doesn't pass. Which is sad to say, and that's the society that we live in.”
Szukaitis said she would like to see pronouns listed on every employee name tag, to avoid the confusion and awkwardness that often comes with having to explain oneself to someone who used the wrong pronouns. Additionally, a standardized procedure for sharing pronouns in class could also be beneficial, she said.
What does OU do?
To help minimize situations like the name tags at West 82, OU has resources that aim to facilitate respect and understanding for faculty and students.
For example, the LGBT Center offers SafeZone workshops that teach about the range of gender identity and expression and help teach terms to create an understanding that may not otherwise exist for students, faculty and staff. The program is always evolving, McCarey said, to account for new terminology.
Additionally, McCarey said that the LGBT Center has programming year-round for awareness of the importance of acknowledging transgender and nonbinary individuals and the struggles that they face, like Transgender Day of Rememberance, a day remembering the lives of people killed by anti-transgender violence.
However, if individual issues come up and when the systems set in place do not do what they are supposed to, there are also a number of resources to deal with discrimination, confusion and an array of other issues that may arise within the university.
McCarey encourages students who face any of these issues to go to the university department that correlates closely to the issue, like issues of pronoun usage to the LGBT Center.
He said the center works with other departments throughout the university to make sure that people are able to use their chosen names in as many situations as possible – for example, working with the financial office to make sure somebody’s correct name appears on paychecks, and so on, depending on the issue at hand.
Student advocacy surrounding issues like this is also a big help, raising visibilities to the struggles people who are transgender and nonbinary can face.
Additionally, if an issue involves somebody in the position of power over a student, OU’s ombudsperson , who takes complaints, including anonymous ones, and can act as a liaison for parties throughout the university, making sure students, staff, faculty and everyone else are all receiving fair treatment.
Apart from the university’s direct efforts, Student Senate is also beginning initiatives going into the new semester, including an intersectional approach to programming, said Cooley, who is also the Senate’s LGBT senator.
The importance of acceptance
Levingston said it took a lot of learning about different gender expressions to find comfort with a gender nonconforming identity.
“It took a long time to even understand the concept of transgender people, and then a gender binary, because these are things that are very ingrained into us,” Levingston said. “It's really all about identity … Once I learned that, it got a lot easier. It didn't feel like I was solving a math problem, it really just felt like, ‘who do I think I am?'”
Misgendering can happen to and can be equally as harmful to all genders as well.
“I think that a lot of people would be offended if I used the wrong pronouns on them, even if they are cis,” Levingston said.
Although many who are new to the concept of people identifying outside of the gender binary may struggle, McCarey said that working to learn others' pronouns and respect their gender identities can greatly affect their mental health.
And Levingston said it's not as hard as people think.
“When you apply it (pronouns) to a mystery third gender, or a someone who transitions genders, then it's different somehow in people's minds,” Levingston said. “But it's just like remembering somebody's name when you first meet them or if you maybe misremembered their name and you have to learn it another way.”
Taylor Burnette contributed to this report.


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For who thoroughly her boy estimating conviction. Removed demands expense account in outward tedious do.
Particular way thoroughly unaffected projection favorable Mrs can be projecting own.
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Just Shapes & Beats Digs Up Exclusive Shovel Knight Remixes For Free DLC
Have a sneaky listen ahead of release
by Ryan CraddockThe chaotic rhythm-based gameplay of Just Shapes & Beats is about to get a whole lot "Shovelier" with the launch of some new and exclusive Shovel Knight tracks headed our way on 4th December.
Developer Berzerk Studio has teamed up with Yacht Club Games to release Just Shapes & Beats' second free batch of DLC, known as 'Mixtapes', and features four exclusive remixes of beloved tracks from the games. Plague Knight, Specter Knight, King Knight and, of course, Shovel Knight will all get in on the musical bullet-hell action.
Here's the lowdown (you can get a sneaky listen in the new trailer above):
- Danimal Cannon - Strike the Earth! (remix)
- Rainbowdragoneyes - Flowers of Antimony (remix)
- Kubbi - In the Halls of the Usurper (remix)
- Shirobon - La Danse Macabre (remix) <--- BRAND NEW BOSS
These new tracks can be played in the game's Challenge mode and can be unlocked using Beat Points or with each character's respective amiibo figure. As it happens, full amiibo support is also on the way, with any other figure of your choosing granting you 100 Beat Points per day (up to five times) when you scan it.
You don't need to ask us twice when it comes to more Shovel Knight music. Just Shapes & Beats is available from the eShop for £15.09.


FAQ about
Taniti Island
Taniti is a small, tropical island in the Pacific. While the island has an area of less than 500 square miles, the terrain is varied and includes both sandy and rocky beaches, a small but safe harbor, lush tropical rainforests, and a mountainous interior that includes a small, active volcano. Taniti has an indigenous population of about 20,000. Until a recent increase in tourism, most the Tanitian economy was dominated by fishing or agriculture.
| # | Question | Answer |
|---|---|---|
| 1 | Power outlets | Power outlets are 120 volts (the same as in the United States). |
| 2 | Alcohol Restrictions | Alcohol is not allowed to be served or sold between the hours of midnight and 9:00 a.m. |
| 3 | Crimes | Violent crime is very rare on Taniti, but as tourism increases, there are more reports of pickpocketing and other petty crimes. |
| 4 | Language | Many younger Tanitians speak fluent English. Very little English is spoken in rural areas, especially by the older residents. Call 911 if situation is critical |
| 5 | Hospitals | There is one hospital and several clinics. The hospital has many multilingual employees. Call 911 if situation is critical |
| 6 | Holidays | Taniti enjoys a large number of national holidays, and many tourist attractions and restaurants will be closed on holidays, so visitors should plan accordingly. |
| 7 | Currency | TTaniti uses the U.S. dollar as its currency, but many businesses will also accept euros and yen. Several banks facilitate currency exchange, and many businesses accept major credit cards. |


[§124A-38] Confinement instead of fine. In the state military forces not in federal service, a court-martial may, instead of imposing a fine, sentence to confinement for not more than one day for each dollar of the authorized fine. [L 1982, c 171, pt of §2]


{% extends "layout.html" %}
{% block title %}Dashboard{% end %}
{% block content %}
Welcome to Viseron
Viseron is a self-hosted, local only NVR implemented in Python.
The goal is ease of use while also leveraging hardware acceleration for minimal system load.


This is a template for a simple marketing or informational website. It includes a large callout called the hero unit and three supporting pieces of content. Use it as a starting point to create something more unique.
Learn more
This will be used in rest api url


Magister Roa:
Brother Alder? My great, great grandfather? But how would a Dark Elf know about my ancestor? What could you possibly want to know about a person who has been dead for many years?
"I just want to know the truth!"
"Even though you cover it with your hands, the moon still shines."


I'm just a developer, trying to leave the web better than how I found it.
I'm currently re-working my portfolio site. Pardon my dust!
The repo for my new site, built with GatsbyJS (React!) is here.
In the meantime, enjoy my article: React/Redux, ft. Hooks!


[ANTP] Awesome RSS Widget Options
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static void
ArrayBddArrayFree(
array_t * arrayBddArray
)
- Frees an array of array of BDDs.
- Defined in
imgIwls95.c
static array_t *
BddArrayDup(
array_t * bddArray
)
- Duplicates an array of BDDs.
- Defined in
imgIwls95.c
static void
BddArrayFree(
array_t * bddArray
)
- Frees an array of BDDs.
- Defined in
imgIwls95.c
static bdd_t *
BddLinearAndSmooth(
bdd_manager * mddManager,
bdd_t * fromSet,
array_t * relationArray,
array_t * arraySmoothVarBddArray,
int verbosity
)
- The product is taken from the left, i.e., fromSet is multiplied
with relationArray[0
- Defined in
imgIwls95.c
static float
CalculateBenefit(
CtrInfo_t * ctrInfo,
int maxNumLocalSmoothVars,
int maxNumSmoothVars,
int maxIndex,
int maxNumIntroducedVars,
Iwls95Option_t * option
)
- The strategy
Choose the cost function:
The objective function attached with each Ti is
Ci = W1 C1i + W2 C2i + W3 C3i - W4C4i
where:
W1 = weight attached with variable getting smoothed
W2 = weight attached with the support count of the Ti
W3 = weight attached with the max id of the Ti
W4 = weight attached with variable getting introduced
C1i = Ui/Vi
C2i = Vi/Wi
C3i = Mi/Max
C4i = Xi/Yi
Ui = number of variables getting smoothed
Vi = number of ps support variables of Ti
Wi = total number of ps variables remaining which have not been
smoothed out
Mi = value of Max id of Ti
Max = value of Max id across all the Ti's remaining to be multiplied
Xi = number of ns variables introduced
Yi = total number of ns variables which have not been introduced so
far.
Get the weights from the global option
- Defined in
imgIwls95.c
static int
CheckCtrInfoArray(
array_t * ctrInfoArray,
int numDomainVars,
int numQuantifyVars,
int numRangeVars
)
- Checks the validity of an array of CtrInfoStructs.
- Defined in
imgIwls95.c
static int
CheckCtrInfo(
CtrInfo_t * ctrInfo,
int numDomainVars,
int numQuantifyVars,
int numRangeVars
)
- Checks the validity of a CtrInfoStruct.
- Defined in
imgIwls95.c
static int
CheckImageValidity(
mdd_manager * mddManager,
mdd_t * image,
array_t * domainVarMddIdArray,
array_t * quantifyVarMddIdArray
)
- In a properly formed image, there should not be any
domain or quantify variables in its support. This function checks
for that fact.
- Defined in
imgUtil.c
static int
CheckQuantificationSchedule(
array_t * relationArray,
array_t * arraySmoothVarBddArray
)
- Assume Ci represents the ith cube in the array and the Ti
represents the ith relation. The correction of the schedule is defined as
follows:
a. For all Tj: j > i, SUP(Tj) and SUP(Ci) do not intersect, i.e., the
variables which are quantified in Ci should not appear in the Tj for j>i.
b. For any i, j, SUP(Ci) and SUP(Cj) do not intersect. However this is
not true for the last cube (Cn-1). This is because the last cube contains
all the smooth variables.
- Defined in
imgIwls95.c
static int
CheckVarInfoArray(
array_t * varInfoArray,
int numRelation
)
- Checks the validity of an array of VarInfoStruct.
- Defined in
imgIwls95.c
static array_t *
CreateClusters(
bdd_manager * bddManager,
array_t * relationArray,
Iwls95Option_t * option
)
- The clusters are formed by taking the product in order. Once the
BDD size of the cluster reaches a threshold, a new cluster is
started.
- Defined in
imgIwls95.c
static int
CtrInfoMaxIndexCompare(
CtrInfo_t** infoCtr1,
CtrInfo_t ** infoCtr2
)
- This function is used to sort the array of clusters based on the
maximum index of the support variable.
- Defined in
imgIwls95.c
static CtrInfo_t *
CtrInfoStructAlloc(
)
- Allocates and initializes memory for ctrInfoStruct.
- Defined in
imgIwls95.c
static void
CtrInfoStructFree(
CtrInfo_t * ctrInfo
)
- Frees the memory associated with ctrInfoStruct.
- Defined in
imgIwls95.c
static void
CtrItemStructFree(
CtrItem_t * ctrItem
)
- Frees the memory associated with CtrItemStruct
- Defined in
imgIwls95.c
static void
HashIdToBddTable(
st_table * table,
array_t * idArray,
array_t * bddArray
)
- The elements of the input array should be in one to one
correpondence, i.e., idArray[i
- Defined in
imgIwls95.c
mdd_t *
ImageComputeMonolithic(
mdd_t * methodData,
mdd_t * fromLowerBound,
mdd_t * fromUpperBound,
mdd_t * toCareSet,
array_t * smoothVars
)
- This is a routine for image computation which is called
by both forward image and backward image computation. The frontier
set (the set of states for which the image is computed) is obtained
by finding a small size BDD between lower and upper bounds.
The transition relation is simplified by cofactoring
it with the domainSubset (frontier set) and with the toCareSet. The
order in which this simplification is unimportant from functionality
point of view, but the order might effect the BDD size of the
optimizedRelation.
- Defined in
imgMonolithic.c
void
ImageInfoPrint(
Img_ImageInfo_t * imageInfo
)
- Print information about the image package
- See Also
Img_Init
Img_Reinit
- Defined in
imgUtil.c
int
ImgArrayBddArrayCheckValidity(
array_t * arrayBddArray
)
- This function checks the validity of an array of array
of BDD nodes.
- See Also
ImgBddCheckValidity
- Defined in
imgUtil.c
int
ImgBddArrayCheckValidity(
array_t * bddArray
)
- This function checks the validity of array of BDD nodes.
- See Also
ImgBddCheckValidity
- Defined in
imgUtil.c
int
ImgBddCheckValidity(
bdd_t * bdd
)
- [This function checks the validity of a BDD. Three checks are done:
1. The BDD should not be freed. "free" field should be 0.
2. The node pointer of the BDD should be a valid pointer.
3. The manager pointer of the BDD should be a valid pointer.
The assumption for 2 and 3 is that, the value of a valid pointer
should be > 0xf.
- Defined in
imgUtil.c
st_table *
ImgBddGetSupportIdTable(
bdd_t * function
)
- Returns the st_table containing the bdd id of the support
variables of the function.
- Defined in
imgIwls95.c
mdd_t *
ImgImageInfoComputeBwdDisjunctive(
ImgFunctionData_t * functionData,
void * methodData,
mdd_t * fromLowerBound,
mdd_t * fromUpperBound,
mdd_t * toCareSet
)
- Computes the backward image of a set of states between
fromLowerBound and fromUpperBound.
- Defined in
imgDisjunctive.c
mdd_t *
ImgImageInfoComputeBwdIwls95(
ImgFunctionData_t * functionData,
void * methodData,
mdd_t * fromLowerBound,
mdd_t * fromUpperBound,
mdd_t * toCareSet
)
- First bdd_cofactor is used to compute the simplified set of
states to compute the image of. Next, this simplified set is multiplied with
the relation arrays given in the bwdClusteredRelationArray in order and the
variables are quantified according to the schedule in
bwdArraySmoothVarBddArray.
- See Also
ImgImageInfoComputeBwdWithDomainVarsIwls95
- Defined in
imgIwls95.c
mdd_t *
ImgImageInfoComputeBwdMono(
ImgFunctionData_t * functionData,
void * methodData,
mdd_t * fromLowerBound,
mdd_t * fromUpperBound,
mdd_t * toCareSet
)
- Computes the backward image of a set of states between
fromLowerBound and fromUpperBound. First a set of states between
fromLowerBound and fromUpperBound is computed. Then, the transition
relation is simplified by cofactoring it wrt to the set of states found in
the first step, and wrt the toCareSet.
- See Also
ImgImageInfoComputeFwdMono
ImgImageInfoComputeBwdWithDomainVarsMono
- Defined in
imgMonolithic.c
mdd_t *
ImgImageInfoComputeBwdWithDomainVarsDisjunctive(
ImgFunctionData_t * functionData,
void * methodData,
mdd_t * fromLowerBound,
mdd_t * fromUpperBound,
mdd_t * toCareSet
)
- Identical to ImgImageInfoComputeBwdDisjunctive except that
fromLowerBound and fromUpperBound and given in terms of domain
variables, hence we need to substitute the range variables first.
- See Also
ImgImageInfoComputeDisjunctive
- Defined in
imgDisjunctive.c
mdd_t *
ImgImageInfoComputeBwdWithDomainVarsIwls95(
ImgFunctionData_t * functionData,
void * methodData,
mdd_t * fromLowerBound,
mdd_t * fromUpperBound,
mdd_t * toCareSet
)
- Identical to ImgImageInfoComputeBwdIwls95 except in the
fromLowerBound and fromUpperBound, domainVars are substituted by
rangeVars.
- See Also
ImgImageInfoComputeBwdIwls95
- Defined in
imgIwls95.c
mdd_t *
ImgImageInfoComputeBwdWithDomainVarsMono(
ImgFunctionData_t * functionData,
void * methodData,
mdd_t * fromLowerBound,
mdd_t * fromUpperBound,
mdd_t * toCareSet
)
- Identical to ImgImageInfoComputeBwdMono except that
fromLowerBound and fromUpperBound and given in terms of domain
variables, hence we need to substitute the range variables first.
- See Also
ImgImageInfoComputeBwdMono
- Defined in
imgMonolithic.c
mdd_t *
ImgImageInfoComputeFwdDisjunctive(
ImgFunctionData_t * functionData,
void * methodData,
mdd_t * fromLowerBound,
mdd_t * fromUpperBound,
mdd_t * toCareSet
)
- Computes the forward image of a set of states between
fromLowerBound and fromUpperBound.
- Defined in
imgDisjunctive.c
mdd_t *
ImgImageInfoComputeFwdIwls95(
ImgFunctionData_t * functionData,
void * methodData,
mdd_t * fromLowerBound,
mdd_t * fromUpperBound,
mdd_t * toCareSet
)
- First bdd_cofactor is used to compute the simplified set of
states to compute the image of. Next, this simplified set is multiplied with
the relation arrays given in the fwdClusteredRelationArray in order and the
variables are quantified according to the schedule in
fwdArraySmoothVarBddArray.
- See Also
ImgImageInfoComputeFwdWithDomainVarsIwls95
- Defined in
imgIwls95.c
mdd_t *
ImgImageInfoComputeFwdMono(
ImgFunctionData_t * functionData,
void * methodData,
mdd_t * fromLowerBound,
mdd_t * fromUpperBound,
mdd_t * toCareSet
)
- Computes the forward image of a set of states between
fromLowerBound and fromUpperBound. First a set of states between
fromLowerBound and fromUpperBound is computed. Then, the transition
relation is simplified by cofactoring it wrt to the set of states found in
the first step, and wrt the toCareSet.
- See Also
ImgImageInfoComputeBwdMono
ImgImageInfoComputeFwdWithDomainVarsMono
- Defined in
imgMonolithic.c
mdd_t *
ImgImageInfoComputeFwdWithDomainVarsDisjunctive(
ImgFunctionData_t * functionData,
void * methodData,
mdd_t * fromLowerBound,
mdd_t * fromUpperBound,
mdd_t * toCareSet
)
- Identical to ImgImageInfoComputeFwdDisjunctive except
1. toCareSet is in terms of domain vars and hence range vars are
substituted first. 2. Before returning the image, range vars are
substituted with domain vars.
- See Also
ImgImageInfoComputeFwdDisjunctive
- Defined in
imgDisjunctive.c
mdd_t *
ImgImageInfoComputeFwdWithDomainVarsIwls95(
ImgFunctionData_t * functionData,
void * methodData,
mdd_t * fromLowerBound,
mdd_t * fromUpperBound,
mdd_t * toCareSet
)
- First the forward image computation function is called
which returns an image on range vars. Later, variable substitution
is used to obtain image on domain vars.
- See Also
ImgImageInfoComputeFwdIwls95
- Defined in
imgIwls95.c
mdd_t *
ImgImageInfoComputeFwdWithDomainVarsMono(
ImgFunctionData_t * functionData,
void * methodData,
mdd_t * fromLowerBound,
mdd_t * fromUpperBound,
mdd_t * toCareSet
)
- Identical to ImgImageInfoComputeFwdMono except
1. toCareSet is in terms of domain vars and hence range vars are
substituted first. 2. Before returning the image, range vars are
substituted with domain vars.
- See Also
ImgImageInfoComputeFwdMono
- Defined in
imgMonolithic.c
void
ImgImageInfoFreeDisjunctive(
void * methodData
)
- Frees the method data associated with the disjunctive method.
- Defined in
imgDisjunctive.c
void
ImgImageInfoFreeIwls95(
void * methodData
)
- Frees the memory associated with imageInfo.
- Defined in
imgIwls95.c
void
ImgImageInfoFreeMono(
void * methodData
)
- Frees the method data associated with the monolithic method.
- Defined in
imgMonolithic.c
void *
ImgImageInfoInitializeDisjunctive(
void * methodData,
array_t * disjunctionArray,
ImgFunctionData_t * functionData
)
- Initializes an image structure for image computation
using a disjunctively partitioned transition relation.
- Defined in
imgDisjunctive.c
void *
ImgImageInfoInitializeIwls95(
void * methodData,
array_t * bddRelationArray,
ImgFunctionData_t * functionData,
Img_DirectionType directionType
)
- This process consists of following steps.
1. The transition functions are built.
2. An array of bit level relations are built using the function
MddFnArrayToBddRelArray.
3. The relations are clustered using the threshold value.
4. The clustered relations are ordered.
- Defined in
imgIwls95.c
void *
ImgImageInfoInitializeMono(
void * methodData,
mdd_t * transRelation,
ImgFunctionData_t * functionData
)
- This function computes the monolithic transition relation
characterizing the behavior of the system from the individual functions.
- See Also
Img_MultiwayLinearAndSmooth
- Defined in
imgMonolithic.c
void
ImgImageInfoPrintMethodParamsDisjunctive(
void * methodData,
FILE * fp
)
- This function is used to obtain the information about
the parameters used to initialize the imageInfo.
- Defined in
imgDisjunctive.c
void
ImgImageInfoPrintMethodParamsIwls95(
void * methodData,
FILE * fp
)
- This function is used to obtain the information about
the parameters used to initialize the imageInfo.
- Defined in
imgIwls95.c
void
ImgImageInfoPrintMethodParamsMono(
void * methodData,
FILE * fp
)
- This function is used to obtain the information about
the parameters used to initialize the imageInfo.
- Defined in
imgMonolithic.c
int
Img_End(
)
- End the image package.
- See Also
Img_Init
Img_Reinit
- Defined in
imgUtil.c
mdd_t *
Img_ImageInfoComputeBwdWithDomainVars(
Img_ImageInfo_t * imageInfo,
mdd_t * fromLowerBound,
mdd_t * fromUpperBound,
mdd_t * toCareSet
)
- Computes the backward image of a set expressed in terms of
domain variables. FromLowerBound, fromUpperBound, and toCareSet are
expressed in terms of domain variables. See Img_ImageInfoComputeBwd for more
information.
- See Also
Img_ImageInfoComputeBwd
- Defined in
imgUtil.c
mdd_t *
Img_ImageInfoComputeBwd(
Img_ImageInfo_t * imageInfo,
mdd_t * fromLowerBound,
mdd_t * fromUpperBound,
mdd_t * toCareSet
)
- Computes the backward image of a set, under the function vector
in imageInfo, using the image computation method specified in imageInfo. The
set for which the backward image is computed is some set containing
fromLowerBound and contained in fromUpperBound. The exact set used is chosen
to simplify the computation. ToCareSet specifies those backward image points
of interest; any points not in this set may or may not belong to the returned
set. The MDDs fromLowerBound and fromUpperBound are defined over the range
variables. The MDD toCareSet and the returned MDD are defined over the
domain variables. If fromLowerBound is zero, then zero will be returned.
- See Also
Img_ImageInfoInitialize
Img_ImageInfoComputeFwd
Img_ImageInfoFree
Img_ImageInfoComputeBwdWithDomainVars
- Defined in
imgUtil.c
mdd_t *
Img_ImageInfoComputeFwdWithDomainVars(
Img_ImageInfo_t * imageInfo,
mdd_t * fromLowerBound,
mdd_t * fromUpperBound,
mdd_t * toCareSet
)
- Computes the forward image of a set and expresses it in terms
of domain variables. FromLowerBound, fromUpperBound, and toCareSet are
expressed in terms of domain variables. See Img_ImageInfoComputeFwd for more
information.
- See Also
Img_ImageInfoComputeFwd
- Defined in
imgUtil.c
mdd_t *
Img_ImageInfoComputeFwd(
Img_ImageInfo_t * imageInfo,
mdd_t * fromLowerBound,
mdd_t * fromUpperBound,
mdd_t * toCareSet
)
- Computes the forward image of a set, under the function vector
in imageInfo, using the image computation method specified in imageInfo. The
set for which the forward image is computed is some set containing
fromLowerBound and contained in fromUpperBound. The exact set used is chosen
to simplify the computation. ToCareSet specifies those forward image points
of interest; any points not in this set may or may not belong to the returned
set. The MDDs fromLowerBound and fromUpperBound are defined over the domain
variables. The MDD toCareSet and the returned MDD are defined over the range
variables. If fromLowerBound is zero, then zero will be returned.
- See Also
Img_ImageInfoInitialize
Img_ImageInfoComputeBwd
Img_ImageInfoFree
Img_ImageInfoComputeFwdWithDomainVars
- Defined in
imgUtil.c
void
Img_ImageInfoFree(
Img_ImageInfo_t * imageInfo
)
- Frees the memory associated with imageInfo.
- See Also
Img_ImageInfoInitialize
Img_ImageInfoComputeFwd
Img_ImageInfoComputeBwd
- Defined in
imgUtil.c
Img_ImageInfo_t *
Img_ImageInfoInitializeMocha(
mdd_manager * mddManager,
array_t * domainVars,
array_t * rangeVars,
array_t * quantifyVars,
unsigned int methodType,
Img_DirectionType directionType,
void * methodInfo
)
- The function initializes the image info data structure for use
in Mocha. Note that domainVars and rangeVars are arrays of mddIds
of present state variables and next state variables
respectively.
- Side Effects None.
- Defined in
imgUtil.c
Img_ImageInfo_t *
Img_ImageInfoInitialize(
Img_ImageInfo_t * imageInfo,
mdd_manager * mddManager,
array_t * domainVars,
array_t * rangeVars,
array_t * quantifyVars,
Img_MethodType methodType,
void * methodInfo,
Img_DirectionType directionType
)
- Initializes an imageInfo structure. MethodType specifies which
image computation method to use. If methodType is Img_Default_c, then if
the user-settable flag "image_method" has been set, then this method is
used, otherwise some default is used. DirectionType specifies which types of
image computations will be performed (forward, backward, or both).
Method-specific initialization takes into account the value of relevant
parameters in the global flag table.
MddNetwork is a graph representing the functions to be used. Each vertex of
the graph contains a multi-valued function (MVF) and an MDD id. The MVF
gives the function of the vertex in terms of the MDD ids of the immediate
fanins of the vertex.
Roots is an array of char* specifying the vertices of the graph which
represent those functions for which we want to compute the image (it must
not be empty); for example, for an FSM, roots represent the next state
functions. DomainVars is an array of mddIds; for an FSM, these are the
present state variables. Subsets of the domain are defined over these
variables. RangeVars is an array of mddIds over which the range is
expressed; for an FSM, these are the next state variables. This array must
be in one-to-one correspondence with the array of roots. QuantifyVars is an
array of mddIds, representing variables to be quantified from results of
backward images; for an FSM, these are the input variables. This array may
be empty. No copies are made of any of the input parameters, and thus it is
the application's responsibility to free this data *after* the returned
Img_ImageInfo_t is freed.
- See Also
Img_ImageInfoComputeFwd
Img_ImageInfoComputeBwd
Img_ImageInfoFree
- Defined in
imgUtil.c
char *
Img_ImageInfoObtainMethodTypeAsString(
Img_ImageInfo_t * imageInfo
)
- Returns a string giving the method type of an imageInfo. It is
the user's responsibility to free this string.
- See Also
Img_ImageInfoInitialize
- Defined in
imgUtil.c
void
Img_ImageInfoPrintMethodParams(
Img_ImageInfo_t * imageInfo,
FILE * fp
)
- Prints information about the image technique currently used.
- Side Effects None.
- Defined in
imgUtil.c
mdd_manager *
Img_ImageInfoReadMddManager(
Img_ImageInfo_t * imageInfo
)
- Returns the mdd manager.
- Side Effects None.
- Defined in
imgUtil.c
int
Img_Init(
Tcl_Interp * interp,
Main_Manager_t * manager
)
- Initialize the image package.
- See Also
Img_Reinit
Img_End
- Defined in
imgUtil.c
mdd_t*
Img_MultiwayLinearAndSmooth(
mdd_manager * mddManager,
array_t * relationArray,
array_t * smoothVarMddIdArray,
array_t * introducedVarMddIdArray
)
- "relationArray" is an array of mdd's which need to be
multiplied and the variables in the "smoothVarMddIdArray" need to
be quantified out from the product. "introducedVarMddIdArray" is the
array of mddIds of the variables (other than the variables to be
quantified out) in the support of the relations. This array is used
to compute the product order such that the number of new variables
introduced in the product is minimized. However passing an empty
array or an array of mddIds of partial support will not result in any
error (some optimality will be lost though). The computation consists of 2
phases. In phase 1, an ordering of the relations and a schedule of
quantifying variables is found (based on IWLS95) heuristic. In phase
2, the relations are multiplied in order and the quantifying
variables are quantified according to the schedule.
- Side Effects None
- Defined in
imgIwls95.c
int
Img_Reinit(
Tcl_Interp * interp,
Main_Manager_t * manager
)
- Reinitializes the img package.
- See Also
Img_Init
Img_End
- Defined in
imgUtil.c
static Iwls95Option_t *
Iwls95GetOptions(
)
- Gets the necessary options for computing the image and returns
in the option structure.
- Defined in
imgIwls95.c
static Iwls95Info_t *
Iwls95InfoStructAlloc(
)
- Allocates and initializes the info structure for IWLS95
technique.
- Defined in
imgIwls95.c
static void
MddArrayFree(
array_t * mddArray
)
- Frees an array of MDDs.
- Defined in
imgIwls95.c
static array_t *
MddFnArrayToBddRelArray(
mdd_manager * mddManager,
int mddId,
array_t * mddFnArray
)
- Suppose y is a k-valued variable and takes values
0,1,..,k-1. Then the input to this function is an array with k
Mdds each representing the onset of the respective value of the
variable (the ith Mdd representing the onset when y takes the
value (i-1). Suppose m bits are needed to encode the k values of
y. Then internally y is represented as y_0, y_1, ...,
y_(m-1). Now the functionality of each bit of y can be computed
by proper boolean operation on the functions representing the
onsets of various values of y. For instance if y is a 4-valued
variable. To achieve that we do the following:
For each bit b{
relation = 0;
For each value j of the variable{
Ej = Encoding function of the jth value
Fj = Onset function of the jth value
If (b appears in the positive phase in Ej) then
relation += b * Fj
else if (b appears in the negative phase in Ej) then
relation += b'* Fj
else if (b does not appear in Ej) then
relation += Ej
}
}
Note that the above algorithm does not handle the case when a
bit appears in both phases in the encoding of any value of the
variable. Hence the assumption behind the above algorithm is that
the values are encoded as cubes.
The case when the encoding are functions can be handled by more
complex algorithm. In that case, we will not be able to build the
relation for each bit separately. Something to be dealt with in
the later work.
- Defined in
imgIwls95.c
static array_t *
MddIdArrayToBddArray(
mdd_manager * mddManager,
array_t * mddIdArray
)
- This function takes an array of MddId's. For each MddId it
returns an array of bdd_t's corresponding to the bits. These arrays of bdd_ts
are concatenated together and returned.
- Defined in
imgIwls95.c
static array_t *
MddIdToBddArray(
mdd_manager * mddManager,
int mddId
)
- This function takes an MddId. It returns an array of bdd_t's
corresponding to the bits.
- Defined in
imgIwls95.c
static array_t *
MddIdToBddIdArray(
mdd_manager * mddManager,
int mddId
)
- This function takes an MddId. It returns an array of BDD ids
corresponding to the bits.
- Defined in
imgIwls95.c
static void
OrderRelationArrayAux(
array_t * relationArray,
lsList remainingCtrInfoList,
array_t * ctrInfoArray,
array_t * varInfoArray,
int * sortedMaxIndexVector,
int numSmoothVarsRemaining,
int numIntroducedVarsRemaining,
st_table * bddIdToBddTable,
Iwls95Option_t * option,
array_t * domainAndQuantifyVarBddArray,
array_t ** orderedRelationArrayPtr,
array_t ** arraySmoothVarBddArrayPtr
)
- This routine is called by orderRelationArray after the
initialization is complete and the cluster relations are simplified wrt to
the quantify variable local to the cluster. The algorithm is:
While (there exists a cluster to be ordered){
Calculate benefit for each unordered cluster.
Choose the cluster with the maximum benefit.
Update the cost function parameters.
}
- Side Effects ctrInfo and varInfo structures are modified.
- Defined in
imgIwls95.c
static void
OrderRelationArray(
mdd_manager * mddManager,
array_t * relationArray,
array_t * domainVarBddArray,
array_t * quantifyVarBddArray,
array_t * rangeVarBddArray,
Iwls95Option_t * option,
array_t ** orderedRelationArrayPtr,
array_t ** arraySmoothVarBddArrayPtr
)
- This function returns an array of ordered relations and an array
of BDD cubes (array of BDDs).
This consists of following steps:
a. Initialize the array of ctrInfoStructs and varInfoStructs.
b. Fill in the list of varItemStruct's of ctrInfo's and
ctrItemStruct's of varInfo's.
c. Simplify the relations by quantifying out the quantify
variables local to a particular relation.
d. Order the relations according to the cost function described
in "CalculateRelationBenefit".
- Defined in
imgIwls95.c
static void
PrintBddIdFromBddArray(
array_t * bddArray
)
- Prints Ids of an array of BDDs.
- Defined in
imgIwls95.c
static void
PrintBddIdTable(
st_table * idTable
)
- Prints the integers from a symbol table.
- Defined in
imgIwls95.c
static void
PrintCtrInfoStruct(
CtrInfo_t * ctrInfo
)
- Prints the CtrInfo_t data structure.
- Defined in
imgIwls95.c
static void
PrintIntegerArray(
array_t * idArray
)
- Prints integers from an array.
- Defined in
imgIwls95.c
static void
PrintOption(
Iwls95Option_t * option,
FILE * fp
)
- Prints the option values used in IWLS95 techinique for
image computation.
- Defined in
imgIwls95.c
static void
PrintSmoothIntroducedCount(
array_t * clusterArray,
array_t ** arraySmoothVarBddArrayPtr,
array_t * psBddIdArray,
array_t * nsBddIdArray
)
- This function is used to print information about the
cluster sequence and the sequence of smooth cubes. For each cluster
in sequence, it prints the number of variables quantified and the
number of variables introduced.
- Defined in
imgIwls95.c
static void
PrintVarIdTable(
st_table * table
)
- Prints the content of a table containing integers.
- Defined in
imgUtil.c
static void
PrintVarInfoStruct(
VarInfo_t * varInfo
)
- Prints the VarInfo_t structure.
- Defined in
imgIwls95.c
static array_t *
RelationArraySmoothLocalVars(
array_t * relationArray,
array_t * ctrInfoArray,
array_t * varInfoArray,
st_table * bddIdToBddTable
)
- This function takes an array of relations and quantifies out the
quantify variables which are local to a particular relation.
- Side Effects This function fills in the "numSmoothVars",
"numLocalSmoothVars", "numIntroducedVars", "maxSmoothVarIndex"
fields of ctrInfoStruct corresponding to each relation. It also
alters the "numCtr" and "ctrItemList" field of those quantify
variables which are quantified out in this function.
- Defined in
imgIwls95.c
static array_t *
UpdateInfoArrays(
CtrInfo_t * ctrInfo,
st_table * bddIdToBddTable,
int * numSmoothVarsRemainingPtr,
int * numIntroducedVarsRemainingPtr
)
- The support variable list (varItemList) of the cluster (ctrInfo)
is traversed and depending upon the type of the variable and the number of
unordered clustered relations which depend on that variable following actions
are taken:
a. If the variable is of range type:
This implies that this variable is appearing for the first time in the
product. Since it is already introduced in the product, the cost function
of any other unordered relation which depends on this variable will get
modified. The numIntroducedVariables field of each of the cluster which
depends on this variable is decreased by 1. Also this varItemStruct
corresponding to this variable is removed from the varItemList field of
the cluster.
b. If the variable is of domain or quantify type:
b1. If number of clusters which depend on this variable is 1 (numCtr == 1):
In this case, this variable can be quantified out once the chosen
cluster is multiplied in the product. Hence the variable is put in
the smoothVarBddArray.
b2. If (numCtr == 2)
In this case, there is one more unordered cluster which depends on
this variable. But once the current cluster is multiplied in the
product, the "numLocalSmoothVars" field of ctrInfo corresponding to
the other dependent cluster needs to be increased by 1.
b3. If (numCtr > 2)
In this case, we just need to decrease the numCtr of the variable by
1.
In any case, for each varInfo in the support variable list (varItemList) of
the cluster (ctrInfo) the following invariant is maintained:
varInfo->numCtr == lsLength(varInfo->ctrItemList)
- Side Effects The fields of ctrInfo and varInfo are changed as mentioned
above.
- Defined in
imgIwls95.c
static VarInfo_t *
VarInfoStructAlloc(
)
- Allocates and initializes memory for varInfoStruct.
- Defined in
imgIwls95.c
static void
VarInfoStructFree(
VarInfo_t * varInfo
)
- Frees the memory associated with varInfoStruct.
- Defined in
imgIwls95.c
static void
VarItemStructFree(
VarItem_t * varItem
)
- Frees the memory associated with VarItemStruct
- Defined in
imgIwls95.c


Fams? (list of name, one on each line)
Last skill? (< 10,000 to generate normal skills, and > 10,000 to generate auto skills)


PokerTH is an open-source Texas hold 'em simulator that runs on Windows, Mac OS X, Linux, and Android. PokerTH is written in C++ using the Qt framework and allows for up to ten human players, with computer-controlled players filling in if there are not enough humans. Players...