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| Packages that use Rule | |
|---|---|
| org.apache.commons.digester | The Digester package provides for rules-based processing of arbitrary XML documents. |
| org.apache.commons.digester.plugins | Provides an easy mechanism whereby new digestion rules can be added dynamically during a digestion. |
| org.apache.commons.digester.xmlrules | The xmlrules package provides for XML-based definition of
rules for Digester . |
| Uses of Rule in org.apache.commons.digester |
|---|
| Subclasses of Rule in org.apache.commons.digester | |
|---|---|
class |
BeanPropertySetterRule
Rule implements sets a bean property on the top object to the body text. |
class |
CallMethodRule
Rule implementation that calls a method on an object on the stack (normally the top/parent object), passing arguments collected from subsequent CallParamRule rules or from the body of this
element. |
class |
CallParamRule
Rule implementation that saves a parameter for use by a surrounding CallMethodRule |
class |
FactoryCreateRule
Rule implementation that uses an ObjectCreationFactory to create
a new object which it pushes onto the object stack. |
class |
NodeCreateRule
A rule implementation that creates a DOM Node containing the XML at the element that matched
the rule. |
class |
ObjectCreateRule
Rule implementation that creates a new object and pushes it onto the object stack. |
class |
ObjectParamRule
Rule implementation that saves a parameter for use by a surrounding CallMethodRule |
class |
PathCallParamRule
Rule implementation that saves a parameter containing the Digester matching path for use by a surrounding
CallMethodRule . |
class |
SetNestedPropertiesRule
Rule implementation that sets properties on the object at the top of the stack, based on child elements with names matching properties on that object. |
class |
SetNextRule
Rule implementation that calls a method on the (top-1) (parent) object, passing the top object (child) as an argument. |
class |
SetPropertiesRule
Rule implementation that sets properties on the object at the top of the stack, based on attributes with corresponding names. |
class |
SetPropertyRule
Rule implementation that sets an individual property on the object at the top of the stack, based on attributes with specified names. |
class |
SetRootRule
Rule implementation that calls a method on the root object on the stack, passing the top object (child) as an argument. |
class |
SetTopRule
Rule implementation that calls a "set parent" method on the top (child) object, passing the (top-1) (parent) object as an argument. |
| Methods in org.apache.commons.digester with parameters of type Rule | |
|---|---|
void |
WithDefaultsRulesWrapper.add(java.lang.String pattern,
Rule rule)
Adds a Rule to be fired on given pattern. |
void |
RulesBase.add(java.lang.String pattern,
Rule rule)
Register a new Rule instance matching the specified pattern. |
void |
ExtendedBaseRules.add(java.lang.String pattern,
Rule rule)
Register a new Rule instance matching the specified pattern. |
void |
AbstractRulesImpl.add(java.lang.String pattern,
Rule rule)
Registers a new Rule instance matching the specified pattern. |
void |
Rules.add(java.lang.String pattern,
Rule rule)
Register a new Rule instance matching the specified pattern. |
void |
WithDefaultsRulesWrapper.addDefault(Rule rule)
Adds a rule to be fired when wrapped implementation returns no matches |
void |
Digester.addRule(java.lang.String pattern,
Rule rule)
Register a new Rule matching the specified pattern. |
protected void |
RegexRules.registerRule(java.lang.String pattern,
Rule rule)
Register a new Rule instance matching the specified pattern. |
protected abstract void |
AbstractRulesImpl.registerRule(java.lang.String pattern,
Rule rule)
Register rule at given pattern. |
| Uses of Rule in org.apache.commons.digester.plugins |
|---|
| Subclasses of Rule in org.apache.commons.digester.plugins | |
|---|---|
class |
PluginCreateRule
Allows the original rules for parsing the configuration file to define points at which plugins are allowed, by configuring a PluginCreateRule with the appropriate pattern. |
class |
PluginDeclarationRule
A Digester rule which allows the user to pre-declare a class which is to be referenced later at a plugin point by a PluginCreateRule. |
| Methods in org.apache.commons.digester.plugins with parameters of type Rule | |
|---|---|
void |
PluginRules.add(java.lang.String pattern,
Rule rule)
Register a new Rule instance matching the specified pattern. |
| Uses of Rule in org.apache.commons.digester.xmlrules |
|---|
| Subclasses of Rule in org.apache.commons.digester.xmlrules | |
|---|---|
protected class |
DigesterRuleParser.SetNestedPropertiesAliasRule
A rule for adding a attribute-property alias to the custom alias mappings of the containing SetNestedPropertiesRule rule. |
protected class |
DigesterRuleParser.SetPropertiesAliasRule
A rule for adding a attribute-property alias to the custom alias mappings of the containing SetPropertiesRule rule. |
| Methods in org.apache.commons.digester.xmlrules with parameters of type Rule | |
|---|---|
void |
DigesterRuleParser.add(Rule rule)
Adds a rule the the target digester. |
|
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Current student at UT Austin in the Turing CS program, entrepreneur, programmer, and overall a very happy and enthusiastic person with a strong work ethic and an affinity for public speaking. Passionate about new technology and coding the future. Always a fan of intellectual challenges and seeks to connect with those with as much drive and passion as he does. Completing a bachelor's degree next year and a masters degree in the following year.


func AttemptSecured(url string, allowInSecure bool) bool
AttemptSecured is a utility function which verifies URL and returns if secured connections needs to established for protocol 'grpcs' in URL returns true for protocol 'grpc' in URL returns false for no protocol mentioned, returns !allowInSecure
func IsTLSEnabled(url string) bool
IsTLSEnabled is a generic function that expects a URL and verifies if it has a prefix HTTPS or GRPCS to return true for TLS Enabled URLs or false otherwise
func ToAddress(url string) string
ToAddress is a utility function to trim the GRPC protocol prefix as it is not needed by GO if the GRPC protocol is not found, the url is returned unchanged
MutualTLSConfig Mutual TLS configurations
type MutualTLSConfig struct { Pem []string // Certfiles root certificates for TLS validation (Comma separated path list) Path string //Client TLS information Client TLSKeyPair }
TLSConfig TLS configuration used in the sdk's configs.
type TLSConfig struct { // the following two fields are interchangeable. // If Path is available, then it will be used to load the cert // if Pem is available, then it has the raw data of the cert it will be used as-is // Certificate root certificate path // If both Path and Pem are available, pem takes the precedence Path string // Certificate actual content Pem string // contains filtered or unexported fields }
func (cfg *TLSConfig) Bytes() []byte
Bytes returns the tls certificate as a byte array
func (cfg *TLSConfig) LoadBytes() error
LoadBytes preloads bytes from Pem/Path Pem takes precedence over Path
func (cfg *TLSConfig) TLSCert() (*x509.Certificate, bool, error)
TLSCert returns the tls certificate as a *x509.Certificate by loading it either from the embedded Pem or Path
TLSKeyPair contains the private key and certificate for TLS encryption
type TLSKeyPair struct { Key TLSConfig Cert TLSConfig }


Contacts
For any further question please write to<EMAIL_ADDRESS>---
title: Organizers and contacts
description: Organizers and contacts.
image: /images/ponte_consafelzi.jpg
---
Organizers and contacts
{% for person in site.organizers %}
{{ person.position }}
For any further question please write to liph.unipd@gmail.com.


I’m a full-time software engineer in Portland, Oregon and a part-time, senior undergraduate student of Computer Science at Portland State University. My interests lie mainly in full-stack web development and software engineering.
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- Built with Hakyll
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Found a problem with the site? Feel free to open an issue on GitHub or ask me on Twitter.


pips Red=140 White=138
(CorrectAnswer= 0/0, ErrorScore= 0)
The sun was high in the morning sky when Bertram finally awoke to find that Jeeves had just produced the essential pot of tea and had placed it by his master’s bedside.
“Might I enquire, sir, how the evening chouette at the Drones went?”.
“You may well ask, Jeeves,” I replied with some asperity. “Oofy Prosser, the club millionaire, now has even more of the stuff while decent chaps, like Pongo Twistleton, become ever poorer.”
“ I assume therefore, sir, that you did not have a winning evening?”
“Indeed not. I also contributed to the Prosser portfolio. We just never seemed to have any luck and Oofy just rolled whatever numbers he needed. Look at this position, Jeeves. Pongo, Tuppy Glossop and I were the team facing Oofy (White) in the box.
“We discussed our 62 and it seemed obvious to us to make our 9-pt with 11/9 and then start to get our back checkers moving by playing 24/18 with the six. Needless to say, Oofy rolled 33, playing 13/7(2)* and then we stayed on the bar with our own 33. One more roll and we had to drop his double. So you see, Jeeves, pure bad luck.”
“Sadly, sir, I think not. Your opponent had the better home board and so this was not the moment to encourage an attack. Making your own 5-pt with 11/5, 7/5, leaving three blots would be too big a play, but I think you will find that 11/5, 9/7, slotting the key 5-pt and duplicating White’s fours, or 11/9, 10/4, creating a strong broken prime are both far superior to your team’s move.”
“Good Lord, Jeeves, do you know I don’t think we even looked at those plays.”
“I thought perhaps not, sir. Now, which suit shall I lay out for your lunch with your Aunt Agatha?”
“Might I enquire, sir, how the evening chouette at the Drones went?”.
“You may well ask, Jeeves,” I replied with some asperity. “Oofy Prosser, the club millionaire, now has even more of the stuff while decent chaps, like Pongo Twistleton, become ever poorer.”
“ I assume therefore, sir, that you did not have a winning evening?”
“Indeed not. I also contributed to the Prosser portfolio. We just never seemed to have any luck and Oofy just rolled whatever numbers he needed. Look at this position, Jeeves. Pongo, Tuppy Glossop and I were the team facing Oofy (White) in the box.
“We discussed our 62 and it seemed obvious to us to make our 9-pt with 11/9 and then start to get our back checkers moving by playing 24/18 with the six. Needless to say, Oofy rolled 33, playing 13/7(2)* and then we stayed on the bar with our own 33. One more roll and we had to drop his double. So you see, Jeeves, pure bad luck.”
“Sadly, sir, I think not. Your opponent had the better home board and so this was not the moment to encourage an attack. Making your own 5-pt with 11/5, 7/5, leaving three blots would be too big a play, but I think you will find that 11/5, 9/7, slotting the key 5-pt and duplicating White’s fours, or 11/9, 10/4, creating a strong broken prime are both far superior to your team’s move.”
“Good Lord, Jeeves, do you know I don’t think we even looked at those plays.”
“I thought perhaps not, sir. Now, which suit shall I lay out for your lunch with your Aunt Agatha?”
1. Cubeful 2-ply 11/9 10/4 Eq.: +0.026 0.513 0.163 0.009 - 0.487 0.161 0.009 2. Cubeful 2-ply 24/18 11/9 Eq.: +0.014 (-0.012) 0.529 0.155 0.011 - 0.471 0.207 0.012 3. Cubeful 0-ply 10/4 9/7 Eq.: -0.113 (-0.140) 0.472 0.146 0.008 - 0.528 0.177 0.012 4. Cubeful 0-ply 24/16 Eq.: -0.129 (-0.155) 0.499 0.153 0.010 - 0.501 0.266 0.034 5. Cubeful 0-ply 11/5 9/7 Eq.: -0.165 (-0.191) 0.468 0.140 0.007 - 0.532 0.205 0.021


The template page to be build on. This will contain premade config files of lessons or to speed up development of more complicated projects.


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<div class="card">
Cards support a wide variety of content, including images, text, list groups, links, and more.
Below are examples of what’s supported.
</div>
<button type="button" class="button rounded button-primary">Primary</button>
<button type="button" class="button rounded button-secondary">Secondary</button>
<button type="button" class="button rounded button-success">Success</button>
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--- title: Spicy Dill Pickles author: Tim Abraham slug: spicy-dill-pickles categories: [] tags: [] ---
<img align=“right”; src=“img/pickles.jpg” hspace=“20”>
Update: I have somewhat moved on from this recipe for pickles in favor of one using sous vide where I only make 2-3 jars at a time. The new method only takes about 1 hour, rather than a whole day. However, if you are looking to make 12 jars I still recommend going this route.
This is the recipe for my famous spicy dill pickles. These will honestly be the best pickles you’ve ever had. Making them will require a full afternoon, so you’ll want to make a large quantity. This recipe is for around 12 quart jars.
I made a kit with all the equipment I use
Sterilize your canning jars and lids in the large canner pot. Boil the water and drop them in for 20 minutes.  Use the heating time to prep your ingredients and make your brine. You can usually only do 6 or 7 jars at a time.
Slice cucumbers in spears and/or chips. Slice the blossom end off each cucumber and discard.
Combine all ingredients for the brine, and bring to a boil. Stir and make sure all the salt is dissolved.
Once the jars are sterilized, brine is ready, and ingredients are prepped, you can jar them up. I usually start with the spices: mustard seed and black peppercorns. Put about 1 teaspoon of each at the bottom of the jar. Next, add a few cloves of garlic and a few sprigs of dill.  Pack tightly! You’ll want these jars to last, so fill in all the airspace you can, but leave about a half an inch to spare at the top of the jar. I will sometimes add another sprig of dill and a few more garlic cloves at the top if there’s room.
Next, carefully pour your brine over the ingredients. Fill it enough to cover all the product.
Once filled, take the processed jar lid and carefully place it on top of the jar. Make sure there isn’t any food around the rim of the jar, as that could spoil on the shelf. If there is, just wipe the rim with a clean towel. Once the lid is on, take your metal band and screw it on, not too tight.
Set your jar aside for now, and continue filling the rest until all the jars from your canner are filled with pickle goodness.
You could eat these in the next week, but the patient pickler processor who waits a month will be rewarded with a much tastier product. The flavors need time to develop. I’m going to explain two methods to process your pickles, but first, why process?.
Processing will create an airtight vacuum seal for your jars, shutting out any bad microbes. Heating the pickles also kills any microbes that might be in there at the time of canning. By processing your pickles, you can store them on the shelf up to 12 months, so it’s a good thing to do if you’re making a lot of product. Otherwise, you should store your jars in the refrigerator and eat within 1 week.
Also, if you’re concerned about safety, pickling provides an extra layer of security. As the brine is very acidic, it is hard for anything to grow in there. This makes pickles a much safer product than, say, jam all things else being equal.
Take some water out of the canner so the closed jars will fit without overflowing. Make sure the water is boiling, and place all the jars in the canner ensuring they’re fully covered with water. A jar lifter will make your life a lot easier here. Close the lid and boil for 10 - 15 minutes. Take the jars out and set aside to cool. Within minutes, you should start hearing “pop!” sounds. These sounds are created by the lid vacuum sealing. It means your pickles are now shelf stable.
The only downside to this method is that putting the pickles in a vat of 200+ degree water can soften them and reduce their crisp crunchiness. If this is an important issue to you, and you have a sous vide tool, check out method 2.
As you may know, I’m a huge fan of sous vide cooking*. Sous vide gives you complete control of the temperature of your water bath. So instead of processing in boiling water for 10 minutes, you can heat the water to a lower temperature - just enough to kill off the microbes and create a vacuum seal - and hold it in that water for longer. This results in a less soggy product at the end of the day.
I borrowed this method from the chefsteps recipe. First I fill a cooler with water, then I put the sous vide device in and set it 140°F, which is the point of pasteurization. Set the timer for 2 and a half hours, and when the timer is up, take the jars out and set them on the counter.
I’ve noticed that the jars take longer to “pop” when I use the sous vide method. Be patient, they will pop. I’ve freaked out about this in the past, so I’m telling you now to not worry.
Once jars are processed, store in a cool place.
I know you’ll want to crack open a jar right away. Honestly, it’s fine to do that. But the pickles get better with time, and the sweet spot is really 4 to 5 weeks. By then, the peppers will have leached their spice into the brine, and your pickles will be just about the tastiest pickles you’ve ever had.


Full stack Developer Python Developer Machine Learning Expert
More About MeI am a collaborative team player skilled at working with hardware and software to develop a cohesive and successful design. I have a history of designing and developing successful applications and websites, and knowledgeable about a wide range of development and testing approaches. I am an effective problem-solver with advanced programming, computer networking skills and a hardworking mentality, seeking to apply expertise and extensive experience in software engineering.
Since beginning my journey as a developer nearly 5 years ago, I've done remote work for agencies, consulted for startups, and collaborated with talented people to create digital products for both business and consumer use.
I've always been drawn to the overlap between design and development. My skills are broad: from ux to design, front end to back end development. I enjoy each aspect, and love building sites & mobile apps.
Here are a few recent projects. Want to see more? Visit my GitHub profile.
I'm a bit of a digital product junky. Over the years, I've demoed and trialed hundreds of web and mobile apps in different industries and verticals. But these are the services I offer.
I develop NLTK and sklearn models to create solutions to improve every day tasks, increase accuracy of computations create chatbots and virtual assistants.
Web Development is building out the visual and the not so visual (backend) components of a website. Using HTML, CSS , and Javascript, php, databases and other technologies, I build fast, interactive websites. This also may include integrating a CMS.
I also develop hybrid applications for both Android and iOS platforms using React Native. I design and develop the applications. A one stop shop for all your tech needs.


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You can invoke this form through the camunda tasklist by setting the formKey of a Start Event to 'embedded:app:forms/embedded/start-form.html'.


Decentralized Storage
Decentralized Storage
Adapted from Decentralized Storage: The Backbone of the Third Web - ConsenSys Media, 2016 and An Introduction to IPFS - ConsenSys Media, 2016
In the last decade much of the internet has moved onto “cloud storage” which has powered the new web. Most of the applications we use on a daily basis have our data stored in server farms owned by Amazon, Google, or Microsoft. In this new era of decentralized applications, developers are turning to decentralized storage as a way to avoid censorship, server outages, and hacks. This section will explore some of the solutions for storage in Web 3:
Since the World Wide Web hit the mainstream in 1994, we have seen the network expand to encompass almost every aspect of human life. The underlying infrastructure of the Internet and the services built on top of it are interdependent, one informing the other as new use cases and technologies arise. There have been two clear generations in the services and structure of the web thus far, but today we are moving into a third. This section will look at what characterized Web 1.0 and 2.0 and what may characterize Web 3.0. We will then look at the storage technologies that are likely to form its backbone: the decentralized storage network IPFS and its incentive platform Filecoin and Swarm, an emerging Ethereum oriented storage platform that uses IPFS.
Web 1.0 & 2.0
Web 1.0 was the birth of a new idea. If we can connect all of the computers in the world through a global network, the Internet, then we should be able to make the collective content pool universally accessible. For this mass of data to be usable it needed to be indexed and browsable. This necessity was behind the innovation that led to the first generation of the World Wide Web.
Web 2.0 took this new global resource, a universally accessible pool of content, and began plugging things into it. Programs could connect and use the Web as a way to store information and communicate with each other. Central intermediaries, today’s Googles and Facebooks, assumed the roles of data silos and switchboards, offering scalable resources and routing traffic. While these new corporations have changed the way we live and provide amazing services, they also leverage their centralized position for profit and power.
In their orange paper, “Swap, Swear and Swindle: Incentive System for Swarm”, Viktor Trón, Aron Fischer, Dániel a. Nagy, Zsolt Felföldi, Nick Johnson writes that:
Context-sensitive targeted advertising offered a Faustian bargain to content producers. As in ‘We give you scalable hosting that would cope with any traffic your audience throws at it, but you give us substantial control over your content; we are going to track each member of your audience and learn — and own — as much of their personal data as we can, we are going to pick who can and who cannot see it, we are going to proactively censor it and we may even report on you, for the same reason.’ Thus, millions of small content producers created immense value for very few corporations, getting only peanuts (typically, free hosting) in exchange.
As the Web grew, we reached scaling limits. Central nodes required ever more bandwidth to cope with even increasing data flows. Over time, as things were shuffled around, links broke and content was lost, vanishing due to unsearchably into the mass of information.
To compound these problems, security never achieved a level appropriate for the new communication and commerce services provided through the Web. The client-server model relies on a system of digital certificates, which are issued by third parties to secure connections. The problem is that if the third party is compromised, so, potentially, are all the connections made using its certificates.
According to Juniper Research, “the rapid digitization of consumers’ lives and enterprise records will increase the cost of data breaches to $2.1 trillion globally by 2019, increasing to almost four times the estimated cost of breaches in 2015.” Thus, the scene is set for a paradigm shift and a cluster of new technologies are emerging. They promise to solve the problems plaguing the existing system and create a new way of using the Web.
Web 3.0
Following the trend set by earlier iterations, the idea of Web 3.0 posits a change in the way content and programs interact. If central intermediaries like Facebook and Google are cut out of the picture, many of the problems we have today will go with them. Instead, content addressing and related techniques will allow content and programs to link to one another directly and in a more robust fashion. Blockchain technologies like the digital currency Bitcoin and the smart contract platform Ethereum use unbreakable public key cryptography to secure the connection between programs and protect data.
This is an alternative to the centrally issued SSL (Secure Sockets Layer) Certificates used today. Because there is no central intermediary routing traffic, connections can dynamically find the most efficient pathway through the Internet and route around congestion or damage.
These systems were designed for financial transactions though. They are not suited to storing and relaying the volume of information required to replace a central server. BitTorrent is a popular solution that has excellent storage and scaling characteristics. However, navigating the Distributed Hash Table used to index content on the network can take seconds. This kind of latency (wait time) is fine for large file transfers but no good for datacenter use cases.
InterPlanetary File System (IPFS)
Described by Viktor Tron as “the lego kit for the third web,” IPFS is a new system for storing data on a large number of computers. It is transport layer agnostic, meaning that it can communicate through transport layers like transmission control protocol (TCP), uTP, UDT, QUIC, TOR, and even Bluetooth)
Instead of a central server, a peer to peer network is used to establish connections. Public key cryptography is built into the node addressing system and content addressing is used to index content. Both node and content addresses are stored in a decentralized naming system called InterPlanetary Naming System (IPNS).
Node addressing and connection security
- Nodes in the peer to peer network each hold private keys and release public keys, just like in Bitcoin or Ethereum.
- Node addresses are derived through hashing their public keys. Allowing connection verification through message signing.
- Their public keys can be used to encrypt data before it is transferred, preventing interception and theft.
Solutions to the security issues of today’s web are built into this addressing system. There is no need for a trusted central certificate issuer to provide connection verification tools and all connections can easily be encrypted by default. No more SSL.
A High Level Approach to IPFS
At its core, IPFS is a versioned file system that can take files and manage them and also store them somewhere and then tracks versions over time. IPFS also accounts for how those files move across the network so it is also a distributed file system.
IPFS has rules as to how data and content move around on the network that are similar in nature to bittorrent. This file system layer offers very interesting properties such as:
- websites that are completely distributed
- websites that have no origin server
- websites that can run entirely on client side browsers
- websites that do not have any servers to talk to
HTTP vs. IPFS to find and retrieve a file
HTTP has a nice property where in the identifier is the location so it is easy to find the computers hosting the file and talk to them. This is useful and generally works very well but not in the offline case or in large distributed scenarios where you want to minimize load across the network.
In IPFS you separate the steps into two parts;
- Identify the file with content addressing
- Go and find it — when you have the hash then you ask the network you’re connected to ‘who has this content? (hash)’ and you connect to the corresponding nodes and download it.
The result is a peer to peer overlay that gives you very fast routing.
To learn more, watch the Alpha Video.
Content Addressing
A content address is derived by hashing a piece of content.
- That content address is then hashed again to derive a key name.
- The key name is associated with a human readable name in IPNS (IPFS’ address registry).
Instead of referring to objects (pictures, articles, videos) by which server they are stored on, IPFS refers to everything by the hash on the file. The idea is that if in your browser you want to access a particular page then IPFS will ask the entire network “does anyone have this file that corresponds to this hash?” and a node on IPFS that does can return the file allowing you to access it.
IPFS uses content addressing at the HTTP layer. This is the practice of saying instead of creating an identifier that addresses things by location, we’re going to address it by some representation of the content itself. This means that the content is going to determine the address. The mechanism is to take a file, hash it cryptographically so you end up with a very small and secure representation of the file which ensures that someone can not just come up with another file that has the same hash and use that as the address. The address of a file in IPFS usually starts with a hash that identifies some root object and then a path walking down. Instead of a server, you are talking to a specific object and then you are looking at a path within that object.
In today’s web, if a file is moved, all links to that file need to be updated if they are to resolve. Because IPFS addresses are derived from the content they refer to, if the content still exists anywhere on the network, links will always resolve. This removes any need for duplication of content, except for the purposes of greater persistence security or for scaling up serving capabilities.
However, for a decentralized storage system to grow to replace the current model, it needs a way to incentivize the storage and serving of content.
Filecoin is one solution being developed by Protocol Labs, Swarm is another being developed by the Ethereum foundation. Both projects make use of IPFS technology but have different philosophies on how to incentivize participation.
Filecoin
Filecoin is a protocol launched by Protocol Labs, the same entity that developed IPFS. If you want to dive in in much greater detail, we will refer you to the Filecoin White Paper.
Filecoin uses an established consensus process already in use securing a financial network. By requiring nodes to solve puzzles based on randomly selected data chunks, a Proof of Work algorithm can be built, which will reward the nodes that store more data chunks and have better connectivity. Tools for adding redundancy and the ability to select nodes based on reputation, whether that be tracked within the protocol or outside it, will address the problem of persistent storage.
Swarm
Swarm was conceived of as a storage protocol tailored for interoperation with the Ethereum smart contract ecosystem. Like Filecoin, it will piggyback on Ethereum’s consensus process in order to provide a decentralized alternative to our existing client/server infrastructure. Incentivising persistent storage is a challenge, however. The downside of a node deleting data and losing some income is potentially much less significant than a user losing his or her valuable data.
Swarm takes the approach of rewarding nodes for serving content. Because more often requested content is more profitable to store than rarely requested content, rewarding nodes only for recall would incentivise the trashing of rarely accessed data. Failure to store every last piece of a large data set can result in the entire set being rendered useless, so in these cases a solution must exist to balance this downside asymmetry.
Using content recall as the base reward mechanism and distributing content randomly among nodes, weighted for location, puts Swarm in a good place to start solving the persistence problem:
- Nodes offering “promissory” storage, or storage with a promise of persistence, must first post a security deposit covering the time for which they are offering storage.
- If data is lost during this period, the bond is forfeited.
The smart contract infrastructure of Ethereum automates this whole process, making the “upload and forget” experience seamless.


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Graduate Academic Programs
The Department of Computer and Information Sciences offers programs leading to the PhD and MS degrees in Computer Science. In addition, the department participates in inter-disciplinary graduate programs in bioinformatics and systems biology.
- Computer Science Graduate Programs (overview)
- Master of Science in Computer Science
The MS program prepares students for doctoral studies or for professional employment. It is normally completed in four semesters of full-time study, - Ph.D. in Computer Science
The PhD is designed to prepare students, for academic careers and for careers in government and industry research labs.
- Master of Science in Computer Science
- Cross-cutting Graduate Programs
- Master of Science in Bioinformatics and Computational Biology
The thesis-based MS degree prepares students for advanced research. The Computational Sciences Concentration (CS) allows students with strong quantitative sciences background to gain knowledge and research experience in developing computational methods and bioinformatics tools and databases for the study of biological systems. - Ph.D. in Bioinformatics and Systems Biology
The Ph.D. in Bioinformatics and Systems Biology will train the next-generation of researchers and professionals who will play a key role in multi- and interdisciplinary teams, bridging life sciences and computational sciences. Students who complete this degree will be able to generate and analyze experimental data for biomedical research as well as develop physical or computational models of the molecular components that drive the behavior of the biological system. - Certificate Programs
- CSE-Cert
The Certificate in Computational Science and Engineering is a an exciting opportunity to develop your computational skills as part of a degree program or as part time study if you already have a career going. - BINF-Cert
The Bioinformatics Graduate Certificate is ideally suited for working professionals who cannot make a commitment to a MS or PSM program at this time, but can use the Certificate as a stepping stone. The Certificate can also complement other UD graduate degree programs, allowing current graduate students to gain bioinformatics knowledge and skills.
- CSE-Cert
- Master of Science in Bioinformatics and Computational Biology


Uses of Interface
com.opengamma.strata.basics.index.OvernightIndex
-
Packages that use OvernightIndex Package Description com.opengamma.strata.basics.index Entity objects describing common market indices, such as LIBOR and FED FUND.com.opengamma.strata.pricer.rate Calculators for rates instruments, such as Forward Rate Agreement (FRA) and interest rate swap.com.opengamma.strata.product.capfloor Entity objects describing Ibor cap/floor.com.opengamma.strata.product.index Entity objects describing contracts based on rate indices.com.opengamma.strata.product.index.type Conventions and templates to aid the construction of rate index products.com.opengamma.strata.product.rate Entity objects describing the rate-based financial instruments.com.opengamma.strata.product.swap Entity objects describing a swap.com.opengamma.strata.product.swap.type Conventions and templates to aid the construction of rate swaps. -
-
Uses of OvernightIndex in com.opengamma.strata.basics.index
Classes in com.opengamma.strata.basics.index that implement OvernightIndex Modifier and Type Class Description class
ImmutableOvernightIndex
An overnight index, such as Sonia or Eonia.Fields in com.opengamma.strata.basics.index declared as OvernightIndex Modifier and Type Field Description static OvernightIndex
OvernightIndices. AUD_AONIA
The AONIA index for AUD.static OvernightIndex
OvernightIndices. BRL_CDI
The CDI index for BRL.static OvernightIndex
OvernightIndices. CAD_CORRA
The CORRA index for CAD.static OvernightIndex
OvernightIndices. CHF_SARON
The SARON index for CHF.static OvernightIndex
OvernightIndices. CHF_TOIS
Deprecated.Not published as of 2017-12-29static OvernightIndex
OvernightIndices. DKK_TNR
The TN index for DKK.static OvernightIndex
OvernightIndices. EUR_EONIA
The EONIA index for EUR.static OvernightIndex
OvernightIndices. EUR_ESTER
Deprecated.Use EUR_ESTR insteadstatic OvernightIndex
OvernightIndices. EUR_ESTR
The ESTR index for EUR.static OvernightIndex
OvernightIndices. GBP_SONIA
The SONIA index for GBP.static OvernightIndex
OvernightIndices. JPY_TONAR
The TONAR index for JPY.static OvernightIndex
OvernightIndices. NOK_NOWA
The NOWA index for NOK.static OvernightIndex
OvernightIndices. NZD_NZIONA
The NZIONA index for NZD.static OvernightIndex
OvernightIndices. PLN_POLONIA
The PLONIA index for PLN.static OvernightIndex
OvernightIndices. SEK_SIOR
The SIOR index for SEK.static OvernightIndex
OvernightIndices. USD_AMERIBOR
The AMERIBOR index for USD.static OvernightIndex
OvernightIndices. USD_FED_FUND
The Fed Fund index for USD.static OvernightIndex
OvernightIndices. USD_SOFR
The SOFR index for USD.static OvernightIndex
OvernightIndices. ZAR_SABOR
The SABOR index for ZAR.Methods in com.opengamma.strata.basics.index that return OvernightIndex Modifier and Type Method Description OvernightIndex
OvernightIndexObservation. getIndex()
Gets the Overnight index.static OvernightIndex
OvernightIndex. of(String uniqueName)
Obtains an instance from the specified unique name.OvernightIndex
FloatingRateName. toOvernightIndex()
Converts to anOvernightIndex
.OvernightIndex
ImmutableFloatingRateName. toOvernightIndex()
Methods in com.opengamma.strata.basics.index that return types with arguments of type OvernightIndex Modifier and Type Method Description static ExtendedEnum<OvernightIndex>
OvernightIndex. extendedEnum()
Gets the extended enum helper.org.joda.beans.MetaProperty<OvernightIndex>
OvernightIndexObservation.Meta. index()
The meta-property for theindex
property.Methods in com.opengamma.strata.basics.index with parameters of type OvernightIndex Modifier and Type Method Description OvernightIndexObservation.Builder
OvernightIndexObservation.Builder. index(OvernightIndex index)
Sets the Overnight index.static OvernightIndexObservation
OvernightIndexObservation. of(OvernightIndex index, LocalDate fixingDate, ReferenceData refData)
Creates anIborRateObservation
from an index and fixing date. -
Uses of OvernightIndex in com.opengamma.strata.pricer.rate
Methods in com.opengamma.strata.pricer.rate that return OvernightIndex Modifier and Type Method Description OvernightIndex
DiscountOvernightIndexRates. getIndex()
Gets the index that the rates are for.OvernightIndex
HistoricOvernightIndexRates. getIndex()
Gets the index that the rates are for.OvernightIndex
OvernightIndexRates. getIndex()
Gets the Overnight index.OvernightIndex
OvernightRateSensitivity. getIndex()
Gets the Overnight index that the sensitivity refers to.Methods in com.opengamma.strata.pricer.rate that return types with arguments of type OvernightIndex Modifier and Type Method Description ImmutableSet<OvernightIndex>
ImmutableRatesProvider. getOvernightIndices()
Set<OvernightIndex>
RatesProvider. getOvernightIndices()
Gets the set of Overnight indices that are available.org.joda.beans.MetaProperty<OvernightIndex>
DiscountOvernightIndexRates.Meta. index()
The meta-property for theindex
property.org.joda.beans.MetaProperty<OvernightIndex>
HistoricOvernightIndexRates.Meta. index()
The meta-property for theindex
property.Methods in com.opengamma.strata.pricer.rate with parameters of type OvernightIndex Modifier and Type Method Description static DiscountOvernightIndexRates
DiscountOvernightIndexRates. of(OvernightIndex index, DiscountFactors discountFactors)
Obtains an instance based on discount factors with no historic fixings.static DiscountOvernightIndexRates
DiscountOvernightIndexRates. of(OvernightIndex index, DiscountFactors discountFactors, LocalDateDoubleTimeSeries fixings)
Obtains an instance based on discount factors and historic fixings.static HistoricOvernightIndexRates
HistoricOvernightIndexRates. of(OvernightIndex index, LocalDate valuationDate, LocalDateDoubleTimeSeries fixings)
Obtains an instance from a time-series of fixings.static OvernightIndexRates
OvernightIndexRates. of(OvernightIndex index, LocalDate valuationDate, Curve forwardCurve)
Obtains an instance from a forward curve, with an empty time-series of fixings.static OvernightIndexRates
OvernightIndexRates. of(OvernightIndex index, LocalDate valuationDate, Curve forwardCurve, LocalDateDoubleTimeSeries fixings)
Obtains an instance from a curve and time-series of fixings.ImmutableRatesProviderBuilder
ImmutableRatesProviderBuilder. overnightIndexCurve(OvernightIndex index, Curve forwardCurve)
Adds an Overnight index forward curve to the provider.ImmutableRatesProviderBuilder
ImmutableRatesProviderBuilder. overnightIndexCurve(OvernightIndex index, Curve forwardCurve, LocalDateDoubleTimeSeries timeSeries)
Adds an Overnight index forward curve to the provider with associated time-series.OvernightIndexRates
ImmutableRatesProvider. overnightIndexRates(OvernightIndex index)
OvernightIndexRates
RatesProvider. overnightIndexRates(OvernightIndex index)
Gets the rates for an Overnight index. -
Uses of OvernightIndex in com.opengamma.strata.product.capfloor
Methods in com.opengamma.strata.product.capfloor that return OvernightIndex Modifier and Type Method Description OvernightIndex
OvernightInArrearsCapletFloorletBinaryPeriod. getIndex()
Gets the Ibor index.OvernightIndex
OvernightInArrearsCapletFloorletPeriod. getIndex()
Gets the Ibor index. -
Uses of OvernightIndex in com.opengamma.strata.product.index
Methods in com.opengamma.strata.product.index that return OvernightIndex Modifier and Type Method Description OvernightIndex
OvernightFuture. getIndex()
Gets the underlying Overnight index.OvernightIndex
OvernightFutureSecurity. getIndex()
Gets the underlying Overnight index.OvernightIndex
ResolvedOvernightFuture. getIndex()
Gets the Overnight index that the future is based on.Methods in com.opengamma.strata.product.index that return types with arguments of type OvernightIndex Modifier and Type Method Description org.joda.beans.MetaProperty<OvernightIndex>
OvernightFuture.Meta. index()
The meta-property for theindex
property.org.joda.beans.MetaProperty<OvernightIndex>
OvernightFutureSecurity.Meta. index()
The meta-property for theindex
property.Methods in com.opengamma.strata.product.index with parameters of type OvernightIndex Modifier and Type Method Description OvernightFuture.Builder
OvernightFuture.Builder. index(OvernightIndex index)
Sets the underlying Overnight index.OvernightFutureSecurity.Builder
OvernightFutureSecurity.Builder. index(OvernightIndex index)
Sets the underlying Overnight index. -
Uses of OvernightIndex in com.opengamma.strata.product.index.type
Methods in com.opengamma.strata.product.index.type that return OvernightIndex Modifier and Type Method Description OvernightIndex
ImmutableOvernightFutureContractSpec. getIndex()
Gets the Overnight index.OvernightIndex
OvernightFutureContractSpec. getIndex()
Gets the Overnight index.OvernightIndex
OvernightFutureTemplate. getIndex()
Gets the underlying index.Methods in com.opengamma.strata.product.index.type with parameters of type OvernightIndex Modifier and Type Method Description ImmutableOvernightFutureContractSpec.Builder
ImmutableOvernightFutureContractSpec.Builder. index(OvernightIndex index)
Sets the Overnight index. -
Uses of OvernightIndex in com.opengamma.strata.product.rate
Methods in com.opengamma.strata.product.rate that return OvernightIndex Modifier and Type Method Description OvernightIndex
OvernightAveragedDailyRateComputation. getIndex()
Gets the Overnight index.OvernightIndex
OvernightAveragedRateComputation. getIndex()
Gets the Overnight index.OvernightIndex
OvernightCompoundedAnnualRateComputation. getIndex()
Gets the Overnight index.OvernightIndex
OvernightCompoundedRateComputation. getIndex()
Gets the Overnight index.OvernightIndex
OvernightRateComputation. getIndex()
Obtains the Overnight index.Methods in com.opengamma.strata.product.rate that return types with arguments of type OvernightIndex Modifier and Type Method Description org.joda.beans.MetaProperty<OvernightIndex>
OvernightAveragedDailyRateComputation.Meta. index()
The meta-property for theindex
property.org.joda.beans.MetaProperty<OvernightIndex>
OvernightAveragedRateComputation.Meta. index()
The meta-property for theindex
property.org.joda.beans.MetaProperty<OvernightIndex>
OvernightCompoundedAnnualRateComputation.Meta. index()
The meta-property for theindex
property.org.joda.beans.MetaProperty<OvernightIndex>
OvernightCompoundedRateComputation.Meta. index()
The meta-property for theindex
property.Methods in com.opengamma.strata.product.rate with parameters of type OvernightIndex Modifier and Type Method Description OvernightAveragedDailyRateComputation.Builder
OvernightAveragedDailyRateComputation.Builder. index(OvernightIndex index)
Sets the Overnight index.OvernightAveragedRateComputation.Builder
OvernightAveragedRateComputation.Builder. index(OvernightIndex index)
Sets the Overnight index.OvernightCompoundedAnnualRateComputation.Builder
OvernightCompoundedAnnualRateComputation.Builder. index(OvernightIndex index)
Sets the Overnight index.OvernightCompoundedRateComputation.Builder
OvernightCompoundedRateComputation.Builder. index(OvernightIndex index)
Sets the Overnight index.static OvernightAveragedDailyRateComputation
OvernightAveragedDailyRateComputation. of(OvernightIndex index, LocalDate startDate, LocalDate endDate, ReferenceData refData)
Creates an instance from an index and accrual period datesstatic OvernightAveragedRateComputation
OvernightAveragedRateComputation. of(OvernightIndex index, LocalDate startDate, LocalDate endDate, int rateCutOffDays, ReferenceData refData)
Creates an instance from an index, accrual period dates and rate cut-off.static OvernightAveragedRateComputation
OvernightAveragedRateComputation. of(OvernightIndex index, LocalDate startDate, LocalDate endDate, ReferenceData refData)
Creates an instance from an index and accrual period datesstatic OvernightCompoundedAnnualRateComputation
OvernightCompoundedAnnualRateComputation. of(OvernightIndex index, LocalDate startDate, LocalDate endDate, ReferenceData refData)
Obtains an instance from an index and period dates.static OvernightCompoundedRateComputation
OvernightCompoundedRateComputation. of(OvernightIndex index, LocalDate startDate, LocalDate endDate, int rateCutOffDays, ReferenceData refData)
Creates an instance from an index, period dates and rate cut-off.static OvernightCompoundedRateComputation
OvernightCompoundedRateComputation. of(OvernightIndex index, LocalDate startDate, LocalDate endDate, ReferenceData refData)
Creates an instance from an index and period datesstatic OvernightRateComputation
OvernightRateComputation. of(OvernightIndex index, LocalDate startDate, LocalDate endDate, int rateCutOffDays, OvernightAccrualMethod accrualMethod, ReferenceData referenceData)
Obtains an instance. -
Uses of OvernightIndex in com.opengamma.strata.product.swap
Methods in com.opengamma.strata.product.swap that return OvernightIndex Modifier and Type Method Description OvernightIndex
OvernightRateCalculation. getIndex()
Gets the Overnight index.Methods in com.opengamma.strata.product.swap that return types with arguments of type OvernightIndex Modifier and Type Method Description org.joda.beans.MetaProperty<OvernightIndex>
OvernightRateCalculation.Meta. index()
The meta-property for theindex
property.Methods in com.opengamma.strata.product.swap with parameters of type OvernightIndex Modifier and Type Method Description OvernightRateCalculation.Builder
OvernightRateCalculation.Builder. index(OvernightIndex index)
Sets the Overnight index.static OvernightRateCalculation
OvernightRateCalculation. of(OvernightIndex index)
Obtains a rate calculation for the specified index with accrual by compounding. -
Uses of OvernightIndex in com.opengamma.strata.product.swap.type
Methods in com.opengamma.strata.product.swap.type that return OvernightIndex Modifier and Type Method Description OvernightIndex
OvernightRateSwapLegConvention. getIndex()
Gets the Overnight index.Methods in com.opengamma.strata.product.swap.type that return types with arguments of type OvernightIndex Modifier and Type Method Description org.joda.beans.MetaProperty<OvernightIndex>
OvernightRateSwapLegConvention.Meta. index()
The meta-property for theindex
property.Methods in com.opengamma.strata.product.swap.type with parameters of type OvernightIndex Modifier and Type Method Description OvernightRateSwapLegConvention.Builder
OvernightRateSwapLegConvention.Builder. index(OvernightIndex index)
Sets the Overnight index.static OvernightRateSwapLegConvention
OvernightRateSwapLegConvention. of(OvernightIndex index, Frequency frequency, int paymentOffsetDays)
Obtains a convention based on the specified index, using the 'Compounded' accrual method.static OvernightRateSwapLegConvention
OvernightRateSwapLegConvention. of(OvernightIndex index, Frequency frequency, int paymentOffsetDays, OvernightAccrualMethod accrualMethod)
Creates a convention based on the specified index, specifying the accrual method.
-


Pub/Sub Admin -- create
Create topic
Create subscription
for topic
Pub/Sub -- post and subscribe
Send or retrieve/ack one message at a time
Message Retrieval
(acks one message at a time)
Send
copies of message
to topic
Pub/Sub -- batch pull
Retrieve messages from different subscriptions, and ack as a batch
Subscription1
Subscription2
Pub/Sub Admin -- delete
Delete topic
Delete subscription


Local debugging for Python in PyCharm requires PyCharm's remote debugging functionality, which is only available in PyCharm Professional. After making sure you are running the Professional edition, follow these steps to start local debugging for Python in PyCharm:
main.py
file in a new PyCharm window. It is important that you open the project directory itself, not the directory you ran lean init
in.lean backtest
command with the --debug pycharm
option.
$ lean backtest "My Project" --debug pycharm 20210322 18:58:23.355 TRACE:: Engine.Main(): LEAN ALGORITHMIC TRADING ENGINE v<IP_ADDRESS> Mode: DEBUG (64bit) 20210322 18:58:23.360 TRACE:: Engine.Main(): Started 6:58 PM
After finishing Python debugging with PyCharm you will see a message saying "Connection to Python debugger failed". You can safely ignore this message.


An app to identify, categorize and analyze multiple files
based on their file extensions.
Upload a file that contains the list of file names and file extensions that you want to analyze.
Confused about the format of the input file?
Check out the Sample Input File.
{% endblock %}
{% block footer_body %}
NOTE
Input file should be a plain text file containing all files in the format
"<file_name>.<file_extension>" with each file in a new line.


Client: Ad Infinitum (our team)
Testing Document
We created a Google Form which asks the tester to navigate through the page and test the different features. The form had the following questions:
The Form
Answer these questions WHILE browsing the website. Go to build-a-pc.github.io.
Please ignore the currently unfinished breadcrumbs (gray bar under navigation bar) and some missing content.
- How old are you?
- 0-15
- 16-20
- 21-25
- 26-30
- 31-40
- 40-∞
- Are you currently using a mobile device to view the website?
- Yes
- No
- What is the purpose of this website?
- (text input)
- Do you think you will find the contents of this site interesting?
- Yes
- No
- Maybe
- Go to the page about the operating system Windows. How did you find this page?
- Via the dropdown menu at he top
- Searching at the bottom
- Didn't find it
- Other: (text input)
- Try one of the quizzes. Would you bother answering this if we didn't ask you to?
- Yes
- No
- Try using the search feature in the site footer. Did it work as expected?
- (text input)
- What did you find weird or wrong about the website?
- (text input)
- How could we improve the site (layout, features, etc.)?
- (text input)
- How well did you understand how the website works overall and how to navigate it?
- 1 (Not at all)
- 2
- 3
- 4
- 5 (Very well)
Feedback Summary and Responses
This is the summary of feedback we got from 13 testers. Our response is written below each question.
- How old are you?
- 16-20: 67%
- 21-30: 33%
- Others: 0%
Response: The people we contacted were in this range, which we thought was appropriate for people wanting to build a PC.
- Are you currently using a mobile device to view the website?
- No: 77%
- Yes: 23%
Response: We needed a few people to test the mobile version but most people testing the desktop version, so this distribution is perfect for testing. We did not interfere with their choices.
- What is the purpose of this website?
- Learning to build PCs: 69%
- Don't know: 15%
- Junk: 15%
Response: Most people understood the meaning of the site. The ones who didn't understand the purpose didn't specify why (maybe they didn't care). We can't think of any way to make the purpose more clear, the site banner clearly says "Build-a-PC" and the home page says "A PC Building Tutorial". If they didn't understand, they must not know what a PC is and therefore have no interest of building one either.
- Do you think you will find the contents of this site interesting?
- Yes: 39%
- No: 31%
- Maybe: 31%
Response: The content of the site was a secondary priority, our primary priority was the layout, style, functionality, responsitivity, accessibility, and so on. This could have been improved if we had a real client (not us) which provided us with the content.
- Go to the page about the operating system Windows. How did you find this page?
- Via the dropdown menu at he top: 77%
- Didn't find it: 15%
- Other: (junk): 8%
- Searching at the bottom: 0%
Response: Most people found it via the navigation bar, as expected. The two people who didn't find it must not have tried very hard or must not be very experienced with normal web pages.
- Try one of the quizzes. Would you bother answering this if we didn't ask you to?
- No: 69%
- Yes: 31%
Response: We didn't ask if it worked, because it's such simple feature assumed to work. Some people would try it if not asked, which is nice. We do not want to force people through the quizzes, if they want they can skip right past it, whatever they please.
- Try using the search feature in the site footer. Did it work as expected?
- Yes: 69%
- Don't know: 15%
- No: 8%
- Junk: 8%
Response: Most people claim it worked as expected. Two claimed they don't know, meaning they didn't bother to try (we can't do much about that). One person claimed it did not, but did not specify why. Maybe that is the same person that wrote a comment about it in one of the latter questions. Maybe we should ask more specifically about what didn't work in the form.
- What did you find weird or wrong about the website?
- Nothing: 31%
- Search bar at the bottom: 15%
- Site not finished: 15%
- Grammatical errors: 8%
- Mainly designed for mobile devices: 8%
- Junk: 23%
Response: Two people said that the search bar should be in the top. We agree with that, but we decided to place it in the bottom because we already had an empty slot there, and it would be hard to place it in the top because we would have to move it around a lot when the screen got smaller. It would be doable, but would require a lot of time and effort getting it right, so we decided it was not worth it.
Two people said that the site was not finished, which is correct. One of us did not meet the deadlines we agreed upon. See document P3 for more information. One person said the site had a lot of grammatical errors. These are easy to fix, but we do not have enough time to fix all of them since we are behind on schedule since the deadlines were not met. Lastly, one person said the site was designed mainly for mobile devices.
- How could we improve the site (layout, features, etc.)?
- Don't know / nothing needs improvement: 64%
- More pictures or better images: 23%
- Buttons should look like buttons: 8%
- Go to site once search is entered: 8%
- Junk: 8%
Response: We notice how some pages could need some more images. Since we are exceptional photographers, we would not be able to take much better images. We can not find any "bad" images.
We're not sure which buttons need to look more like buttons, as we don't have many buttons on the site. Maybe the home page buttons which link to the sections, which look very flat when not hovered (which touch users can't do). We could add some more shadow, maybe.
The search related feedback might mean the user wants to go to a search page once he presses enter. We chose not to do this because the search function is very basic and would not need a dedicated search page.
- How well did you understand how the website works overall and how to navigate it?
- 1 (Not at all): 8%
- 2: 0%
- 3: 15%
- 4: 15%
- 5 (Very well): 62%
Response: Most users understood wery well how to navigate the site and thought it worked well. The others might have expressed their dissatisfaction in the previous question.
Self-Reflection
Håvard
I knew a bit of HTML and CSS before the course started, so I didn't attend many lectures. I have however learned a lot of JS and have gotten much more fluent in HTML and CSS. I have always wanted to get more experience with web development, but have not had the motivation to do so, so I'm glad I attended this course which pushed me forward and forced me to learn the essentials.
I have gotten much more experienced working in groups for projects on this size, distributing the development of different parts but cooperating on the grand design and function, meeting with the team members and planning forward, and trying to meet deadlines.
Petter
This project have learned me a good amount about teamwork. How important the groups dynamic is for the work.
In our group 3 of us was on Facebooks messenger, and 3 of us was on mail. So we had to use both for sending messages something I think killed some of the dynamic to the group.
Deadlines has become more important, not only beacuse of the deadlines set by project makers, but also for our own sake, with deadlines we have a goal to work after.
Runar
Når jeg tenkter tilbake på denne perioden vi har jobbet med prosjektet mener jeg at vi kunne ha jobbet mye mer effektivt og regelmessig. Min oppfatning er at ting har blitt like før deadlines og jeg tror at hvis vi skulle ha gjort dette på nytt at vi burde hatt strammere tidsfrister. Utenom dette er jeg fornøyd med resultatet som vi til slutt endte opp med.


What is considered private on the internet?
June 8
How is the internet secure?
June 9
How do you market on the internet?
June 10


A domain adaptive object detector aims to adapt itself to unseen domains that may contain variations of object appearance, viewpoints or backgrounds. Most existing methods adopt feature alignment either on the image level or instance level. However, image-level alignment on global features may tangle foreground/background pixels at the same time, while instance-level alignment using proposals may suffer from the background noise. Different from existing solutions, we propose a domain adaptation framework that accounts for each pixel via predicting pixel-wise objectness and centerness. Specifically, the proposed method carries out center-aware alignment by paying more attention to foreground pixels, hence achieving better adaptation across domains. We demonstrate our method on numerous adaptation settings with extensive experimental results and show favorable performance against existing state-of-the-art algorithms.
Fig. Proposed framework for domain adaptive object detection. Given the source and target images, we feed them to a shared feature extractor $G$ to obtain their features $F$. Then, the global alignment on these features is performed via a global discriminator $D_{GA}$ and a domain prediction loss $L_{GA}$. Next, we pass the feature through the fully-convolutional module $P$ to produce the classication and centerness maps. These maps and the feature $F$ are utilized to generate the center-aware features. Finally, we use a center-aware discriminator $D_{CA}$ and another domain prediction loss $L_{CA}$ to perform the proposed center-aware feature alignment. Note that the bounding box prediction loss $L_{det}$ is only operated on source images using their corresponding ground-truth bounding boxes.
Cheng-Chun Hsu, Yi-Hsuan Tsai, Yen-Yu Lin, and Ming-Hsuan Yang, "Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector", in European Conference on Computer Vision (ECCV), 2020.
@inproceedings{hsu2020epm, title = {Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector}, author = {Cheng-Chun Hsu, Yi-Hsuan Tsai, Yen-Yu Lin, Ming-Hsuan Yang}, booktitle = {European Conference on Computer Vision}, year = {2020} }


Versionify.js
A super simple way to avoid broswer cacheing when working.

Add scripts('your-file.js');
to the head of your doucment for each JS file and styles('your-file.css')
for all of your css files. By @nickgraffis. Go to project.


package fda
The fda
package contains classes, traits and objects for
Functional Data Analysis (FDA).
- Alphabetic
- By Inheritance
- fda
- AnyRef
- Any
- Hide All
- Show All
- Public
- All
Type Members
-
class
B_Spline
extends Error
The
B_Spline
class provides B-Spline basis functions for various orders 'm', where the order is one more than the degree.The
B_Spline
class provides B-Spline basis functions for various orders 'm', where the order is one more than the degree. A spline function is a piecewise polynomial function where the pieces are stitched together at knots with the goal of maintaining continuity and differentability. B-Spline basis functions form a popular form of basis functions used in Functional Data Analysis.- See also
open.uct.ac.za/bitstream/item/16664/thesis_sci_2015_essomba_rene_franck.pdf?sequence=1 -----------------------------------------------------------------------------
-
class
KMeansClustering_F
extends Clusterer
The
KMeansClustering_F
class provides a simple form of k-means clustering that simply smoothes the data and then appliersKMeansClustering
. -
class
PrincipalComponents_F
extends Reducer
The
PrincipalComponents_F
class performs the Principal Component Analysis 'PCA' on data matrix 'x'.The
PrincipalComponents_F
class performs the Principal Component Analysis 'PCA' on data matrix 'x'. It can be used to reduce the dimensionality of the data. First find the Principal Components 'PC's by calling 'findPCs' and then call 'reduce' to reduce the data (i.e., reduce matrix 'x' to a lower dimensionality matrix). -
class
PrincipalDiff
extends AnyRef
The
PrincipalDiff
class uses Principal Differential Analysis (PDA) to fit functional data from a process governed by an Ordinary Differential Equation (ODE).The
PrincipalDiff
class uses Principal Differential Analysis (PDA) to fit functional data from a process governed by an Ordinary Differential Equation (ODE). FIX - TBD -
class
Regression_F
extends AnyRef
The
Regression_F
class performs functional linear regression.The
Regression_F
class performs functional linear regression.y = b0 + b1 * x(t) + ε
-
class
Smoothing_F
extends Error
The
Smoothing_F
class fits a time-dependent data vector 'y' to B-Splines.The
Smoothing_F
class fits a time-dependent data vector 'y' to B-Splines.y(t(i)) = x(t(i)) + ε(t(i)) x(t) = cΦ(t)
where 'x' is the signal, 'ε' is the noise, 'c' is a coefficient vector and 'Φ(t)' is a vector of basis functions. -----------------------------------------------------------------------------
-
class
StatFunction
extends AnyRef
The
StatFunction
class takes an array of functions 'xa' and provides an 'apply' method for evaluating these functions at time 't' to produce a vector from which statistics can be computed.The
StatFunction
class takes an array of functions 'xa' and provides an 'apply' method for evaluating these functions at time 't' to produce a vector from which statistics can be computed. Each function represents an experimental replication.
Value Members
-
object
B_SplineTest
extends App
The
B_SplineTest
object is used to test theB_Spline
class.The
B_SplineTest
object is used to test theB_Spline
class. It tests the B-Spline functions for specific orders. > run-main scalation.analytics.fda.B_SplineTest -
object
B_SplineTest2
extends App
The
B_SplineTest2
object is used to test theB_Spline
class.The
B_SplineTest2
object is used to test theB_Spline
class. It tests the B-Spline functions using the general recurrence. > run-main scalation.analytics.fda.B_SplineTest2 -
object
B_SplineTest3
extends App
The
B_SplineTest2
object is used to test theB_Spline
class.The
B_SplineTest2
object is used to test theB_Spline
class. It tests the B-Spline functions using the general recurrence and plots several basis functions usingPlotM
. > run-main scalation.analytics.fda.B_SplineTest3 -
object
KMeansClustering_FTest
extends App
The
KMeansClustering_FTest
object is used to test theKMeansClustering_F
class.The
KMeansClustering_FTest
object is used to test theKMeansClustering_F
class. > run-main scalation.analytics.fda.KMeansClustering_FTest -
object
PrincipalComponents_FTest
extends App
The
PrincipalComponents_FTest
object is used to test thePrincipalComponents_F
class.The
PrincipalComponents_FTest
object is used to test thePrincipalComponents_F
class.- See also
www.ce.yildiz.edu.tr/personal/songul/file/1097/principal_components.pdf > run-main scalation.analytics.PrincipalComponents_FTest
-
object
PrincipalDiffTest
extends App
The
PrincipalDiffTest
object is used to test thePrincipalDiff
class.The
PrincipalDiffTest
object is used to test thePrincipalDiff
class. > run-main scalation.analytics.fda.PrincipalDiffTest FIX - smoothing not working correctly -
object
Regression_FTest
extends App
The
Regression_FTest
object is used to test theRegression_F
class.The
Regression_FTest
object is used to test theRegression_F
class. > run-main scalation.analytics.fda.Regression_FTest -
object
Regression_FTest2
extends App
The
Regression_FTest2
object is used to test theRegression_F
class.The
Regression_FTest2
object is used to test theRegression_F
class. > run-main scalation.analytics.fda.Regression_FTest2 -
object
Smoothing_FTest
extends App
The
Smoothing_FTest
is used to test theSmoothing_F
class.The
Smoothing_FTest
is used to test theSmoothing_F
class. > run-main scalation.analytics.fda.Smoothing_FTest -
object
Smoothing_FTest2
extends App
The
Smoothing_FTest2
is used to test theSmoothing_F
class.The
Smoothing_FTest2
is used to test theSmoothing_F
class. > run-main scalation.analytics.fda.Smoothing_FTest2 -
object
StatFunction
The
StatFunction
companion object extends statistics vector operations to matrices.The
StatFunction
companion object extends statistics vector operations to matrices. TheStatFunction
object/class is the functional analog to theStatVector
object/class. -
object
StatFunctionTest
extends App
The
StatFunctionTest
object is used to test theStatFunction
class.The
StatFunctionTest
object is used to test theStatFunction
class. > run-main scalation.analytics.fda.StatFunctionTest -
object
StatFunctionTest2
extends App
The
StatFunctionTest2
object is used to test theStatFunction
object.The
StatFunctionTest2
object is used to test theStatFunction
object. > run-main scalation.analytics.fda.StatFunctionTest2


BoatHub
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About BoatHub
Frequently Asked Questions.
What's with the boats?
Boats are cool!
Where can I get a boat
The Internet!
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It's a boat!


Recommendations
Chiken Handi
Falvoured with Tomatoo Purree
Chicken Biryani
Yeppy: Spicy and Hot!
Chick Soup
Whole Chicken with medium cloves garlic
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With large Chpped Carrots
Greek Salad
With cup cherry or grape tomatoes
Chicken Tikka Pizza
Chopped chiken pieces with marshly taste


pandemic (HN) healthcare (–) influenza seroconversion workers (.–.) infection risk staff {border-style health higher px;} rates #ffffff;} nurses <. household occupational respiratory (OR .–.; care odds patient vs. allied samples analysis exposures factors hospital participants study transmission Referent Singapore baseline significantly titers Singapore. associated nonoccupational FRI Infect Singapore, contact isolation patients vaccination virus wards .). ARI Dis. Influenza Lee Table control having px; sample serum used work {font-family (/, Contact TTSH Tan acute age confidence contacts font-size increased likely mean multivariate personnel Chen Emerg Lim Risk Seng Yes area case cohort colleagues confirmed data designated double; epidemic factor follow-up infections seasonal seroconverters study. (p<. .), ./eid. Chow Health Pandemic Tock United border-color border-width child compared defined given group hemagglutination high illness included larger no. nonseroconverters number primary reported significant size solid; staff, symptoms test vaccine value ward-based weeks worker workers, {font-style {font-weight Ang CI) Disease Geometric Healthcare Hospital Lin Med. No. Research Valid additional based blood bold colleague(s) community courier; did differences em; episodes febrile highest hospitals incidence increase measures non–ward-based nurses, observed pt;} reduce responses‡ result sample, serologic sick study, subgroup suggest support taken time univariate


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{% extends 'base/clientbase.html' %} {% block content %} {% include "base/clientnav.html" %}
| # | Sender ID | Created At | Status |
|---|---|---|---|
| 1 | 2469240 | 01-01-2020 |
Active
|


--- layout: null --- {% assign blocks = content | split: '(BLOCK)' %} {% for block in blocks %}
{{ block | remove: "
" | remove: "


This is a smart pointer that implements "cross reference" semantics where a pointer data member of some object is intended to refer to some target object in a larger data structure.
More...
|
| | ReferencePtr () |
| | Default constructor creates an empty object. More...
|
| |
| | ReferencePtr (T *tp) |
| | Construct from a given pointer stores the pointer. More...
|
| |
| | ReferencePtr (T &t) |
| | Construct from a reference stores the address of the supplied object. More...
|
| |
| | ReferencePtr (const ReferencePtr &) |
| | Copy constructor unconditionally sets the pointer to null; see class comments for why. More...
|
| |
| ReferencePtr & | operator= (const ReferencePtr &r) |
| | Copy assignment sets the pointer to null (except for a self-assign); see class comments for why. More...
|
| |
| ReferencePtr & | operator= (T &t) |
| | This form of assignment replaces the currently-referenced object by a reference to the source object; no destruction occurs. More...
|
| |
| ReferencePtr & | operator= (T *tp) |
| | This form of assignment replaces the current pointer with the given one; no destruction occurs. More...
|
| |
| | ~ReferencePtr () |
| | Destructor does nothing. More...
|
| |
| T * | operator-> () const |
| | Return the contained pointer. More...
|
| |
| T & | operator* () const |
| | The "dereference" operator returns a reference to the target object. More...
|
| |
| | operator T * () const |
| | This is an implicit conversion from ReferencePtr<T> to T*. More...
|
| |
| | operator bool () const |
| | This is an implicit conversion to type bool that returns true if the container is non-null (that is, not empty). More...
|
| |
| T * | get () const |
| | Return the contained pointer, or null if the container is empty. More...
|
| |
| T & | getRef () const |
| | Return a reference to the target object. More...
|
| |
| bool | empty () const |
| | Return true if this container is empty. More...
|
| |
| void | clear () |
| | Make this container empty; no destruction occurs. More...
|
| |
| T * | release () |
| | Extract the pointer from this container, leaving the container empty. More...
|
| |
| void | reset (T *tp) |
| | Replace the stored pointer with a different one; no destruction occurs. More...
|
| |
| void | swap (ReferencePtr &other) |
| | Swap the contents of this ReferencePtr with another one. More...
|
| |
template<class T>
class SimTK::ReferencePtr< T >
This is a smart pointer that implements "cross reference" semantics where a pointer data member of some object is intended to refer to some target object in a larger data structure.
Judicious use of this container will allow you to use compiler-generated copy constructors and copy assignment operators for classes which would otherwise have to implement their own in order to properly initialize these pointer data members, which must not be copied.
The contained pointer is initialized to null (0) on construction, and it is reinitialized to null upon copy construction or copy assignment. That's because we are assuming this is part of copying the entire data structure and copying the old pointer would create a reference into the old data structure rather than the new copy. This pointer does not own the target to which it points, and there is no reference counting so it will become stale if the target is deleted.
Whether you can write through the pointer is controlled by whether type T is a const type. For example ReferencePtr<int> is equivalent to an int*, while ReferencePtr<const int> is equivalent to a const int*.
This class is entirely inline and has no computational or space overhead; it contains just a single pointer.
- See also
- ClonePtr


Version Control
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We recognize the importance of your privacy and the protection of your data. This Privacy Policy strives to explain clearly DataWinners’ commitments to privacy. If you have questions, please contact us at<EMAIL_ADDRESS>Information DataWinners Collects Directly from You
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--- # jekyll prompt ---
This profile sets expectations for use of the Specimen resource to record a specimen associated with a patient within the DAF FHIR IG. This profile identifies which core elements, extensions, vocabularies and value sets must be Supported by DAF actors. For the definition of Supported please refer to DAF FHIR IG.
The DAF Specimen profile mapping does not have a direct mapping to Meaningful Use elements. The DAF team added this profile in response to DSTU 2 ballot comments. For an overview of how the DAF profiles and data elements were derived from ONC 2014 Edition S&CC please refer to DAF FHIR IG data mapping section.
This profile relies on the following other profiles:
| Profiles: | |
| DAF-Spec | US Realm DAF Specimen Resource |


UD for Bulgarian
Tokenization and Word Segmentation
- In general, words are delimited by whitespace characters. In our original treebank we use MWEs, such as compound subordinators, adverbs or composite pronouns. However, in UD every single token is segmented separately. For example: за да / za da “in order to”, може би / mozhe bi “maybe”, се забавям / se zabavyam”slow myself”. For indicating the common POS meaning, we use the relation
fixed
. - The numbers are analyzed as one token when used as expression without spaces (20000) or with an internal comma as indicator (10,434).
- The hyphenated complex words are treated as one token: външно-политически / vanshno-politicheski “foreign-political”, министър-председателят / ministar-predsedateleyat “the prime minister”, по-малко / po-malko “less”.
- Depending on the intervals, there might be cases in which the complex word is analyzed as three tokens. For example ДПС - депутати / DPS - members-of-parliament “MPs from the DPS party”.
Morphology
Tags
This is an overview only. For more detailed discussion and examples, see the list of Bulgarian POS tags and Bulgarian features.
- Bulgarian uses 15 universal POS categories. It does not make use of (SYM) and (X).
- Affirmative, negative, interrogative, modal particles are analyzed as (PART).
- The pronoun (PRON) vs. determiner (DET) distinction is handled as follows:
- as pronouns - personal and reflexive pronouns, and all entity-pointing other pronouns (demonstrative, interrogative, relative, indefinite, collective, negative).
- as determiners - the attributive and possessive atributive forms of the demonstrative, interrogative, relative, indefinite, collective, negative pronouns; the long forms of the possessive pronouns.
- Disclamer 1: entity-denoting demonstrative, interrogative, relative, indefinite, collective, negative pronouns can be either (PRON) or (DET) depending on the usage of the homonymic form. If it is used as a pro-noun, it is pronoun. If it is used attributively, it is determiner.
- Disclaimer 2: Bulgarian has a post-positined definite article which is part of the word and a phrasal affix within a phrase. Thus, it does not have a distinct analysis.
- Bulgarian has just one auxiliary verb (AUX), съм / сам (“to be”), but lemmas бъда / bada, бивам / bivam, би / bi (“would”) are also possible.
- Auxiliary particles ще / shte (“will, shall”) and да / da (“to”) are analyzed as (AUX).
- Modal verbs are analyzed as (VERB).
- The following POS are tagged as (ADJ): adjectives; ordinal numerals; partciples in adjectival usage adjectives derived from family names.
- The following POS are tagged as (VERB): personal and impersonal verbs; participles when used as verbal forms - indicators of evidentiality; and converbs.
Features
- Features Not used:
Abbr
,Typo
,NounClass
,Evident
,Polite
,Clusivity
. AlthoughEvident
andPolite
are relevant for Bulgarian, their annotation requires additional manual intervention and thus - for the moment they are not reflected.
Nominal Features
- Nouns NOUN and PROPN]() have an inherent Gender feature with one of the three values:
Masc
,Fem
orNeut
. - Animacy is a semantic feature. It is gramatically incorporated only in some pronouns and numerals. The distinction
Human - Non-human
is more explicit in theCount
form ofMasculine
.Count
form is applicable only for masculine nouns (Masc
) that denote Non-human. - ADJ, DET, NUM, PART inflect for
Gender
andNumber
, and agree with nouns. - Bulgarian lacks declension, so only some vocative forms have vocative case, while personal pronouns have nominative, accusative and dative cases. Masculine forms of
Int
,Rel
,Neg
,Ind
and very rarelyTot
have accusative and dative forms. - Bulgarian nominals (nouns, adjectives, ordinal numerals, attributively used participles) make use of the
Definite
feature. When the form has a definite article, it is marked asDef
. When no definite article is attached after the ending, it is marked asInd
.
Degree and Polarity
- Degree is an inherent feature for adjectives (ADJ) and adverbs (ADV). It has one of three possible values:
Pos
,Cmp
,Sup
. - Polarity has two values,
Pos
andNeg
, and applies primarily to negative and affirmative particles PART.
Verbal Features
- Similarly to other Slavic languages, Bulgarian verbs have as a lexically classifying feature Aspect, either imperfective (
Imp
) or perfective (Perf
). - Finite verbs always have one of three values of Mood:
Ind
,Imp
orCnd
. The conditional mood is only used with the special conditional auxiliaries (бих / bih, би / bi, бихме / bihme, бихте / bihte, биха / biha). The l-participle of the main verb, that is needed to form the analytic conditional, is not marked with this feature. - Verbs in the indicative mood always have one of three values of Tense:
Past
,Imp
andPres
.Fut
is not used because this tense is always analytic and formed with a special particle. - There are two values of the Voice feature:
Act
andPass
. Only the passive participle hasVoice=Pass
. All other verb forms haveVoice=Act
.
Pronouns, Determiners, Quantifiers
- PronType is used with pronouns (PRON), determiners (DET) and adverbs (ADV).
- NumType is used with numerals (NUM), adjectives (ADJ), determiners (DET) and adverbs (ADV).
- The Poss feature marks possessive personal determiners (e.g. мой / moy “my”),
possessive interrogative, indefinite or negative determiners (e.g. чий / chiy “whose”),
possessive relative determiners (e.g. чийто / chiyto “whose”)
and possessive adjectives (e.g. майчин / maychin “mother’s”). It also marks the clitic personal pronouns
Prs
and reflexive pronouns. - The Reflex feature marks reflexive pronouns (себе си, се, си) / sebe si, se, si and determiners (свой) / svoy “one’s own” and possesive clitic pronoun си / si.
- Person is a lexical feature of personal pronouns (PRON) and has three values,
1
,2
and3
.
Syntax
This is an overview only. For more detailed discussion and examples, see the list of Bulgarian relations.
Core Arguments, Oblique Arguments and Adjuncts
- Nominal subject (nsubj) is a noun phrase in a nominative case, without a preposition.
- A finite subordinate clause can serve the role of a subject. In such a case it is labeled as clausal subject, csubj. There is no infinitive in Bulgarian. The inheritant cosnstruction is finite - да идвам / da idvam “to come”.
- Objects can be bare noun phrases in the position of an accusative pronoun.
- Bare accusative, dative and prepositinal dative are considered core arguments (with the preposition на / na).
- All other prepositional objects are considered oblique obl.
- Accusative objects of some verbs alternate with finite clausal complements, which are labeled ccomp.
- If a verb subcategorizes for modal verbs or verbs of control, the infinitival complement is labeled xcomp.
- Adjuncts are usually prepositional phrases, but they can be bare noun phrases as well. They are labeled obl.
- In Bulgarian there is the phenomenon of clitic doubling. Thus, when the short pronoun appears alone, it takes the role of obj or iobj. However, when the full-fledged pronoun or phrase is present, the short doubling pronoun is marked expl. Expletive expl is used also for the reflexive short pronouns when they are semantically empty and are part of the lexical verb. For example: смея се / smeya se “I am laughing”.
- In Bulgarian the copula cop is expressed by the auxiliary verb съм / sam “to be” and its synonyms that are semantically vacuous.
- In passive clauses (both reflexive and periphrastic passive), the subject is labeled with nsubj:pass or csubj:pass, respectively.
- The auxiliary verb in periphrastic passive is labeled aux:pass.
Other relations:
- In Bulgarian the Yes-No questions are formed with the question particle ли / li. At the moment this particle is annotated with the discourse relation.
No used relations:
compound
,dislocated
,clf
,list
,reparandum
,orphan
,dep
Treebanks
There is 1 Bulgarian UD treebank:


Coin Sounds
This tool helps you celebrate when a coin sells.
Input your PT url including 'http://' or 'https://' and the port if needed, don't include a slash at the end of the URL. server.api_token can be found in your application.properties file.
To change the music or celebration image, replace the .mp3 and .png files with whatever you want. I suggest using a square image to avoid squishing.
Happy trades!


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Amazon has a really great deal on the Roborock E25 robot vacuum right now, where you can get it for just $239.
Basically, the Roborock E25 is priced at $299 normally. But there is an on-page coupon that you can clip for another $60 off of its regular price. That brings it down to just $239. Making it a really great price for a pretty incredible robot vacuum.
The Roborock E25 is a pretty good robot vacuum, especially for its price. Unlike the higher-end S5 robot vacuum from Roborock, the E25 actually uses a dual-gyro system to navigate your home. This is instead of the laser system that the S5 uses. It is still able to do a good job at mapping and cleaning your home, which is what matters.
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It also has a dust bin that you access from the top of the vacuum. This is important because it means that you are less likely to end up dumping out all of that dirt back onto the floor, since it is not on the bottom of the vacuum. It also comes with a brush to clean the brushes included on the E25. So it can keep cleaning up.
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3
Human Resources Policies
You must comply with any applicable DIPI policies or local law relating to
confidential information. In particular, you must follow the following guidelines:
Only access confidential information that you need and are authorized to view
Do not display or discuss confidential information in public places.
Only communicate confidential information, to other DIPI employees and
authorized agents (e.g. legal counsel or external auditors) who have a
legitimate business reason to know the confidential information and who have
no duties or responsibilities which could lead to a conflict of interest.
You agree that you will use your best efforts to prevent loss and unauthorized use
towards Company assets.
You must comply with all applicable information security policies and you should
only use DIPI assets, including telephone, computer networks, e-mail and remote
access capabilities for DIPI business.
i)
Protection and Proper Use of Company Assets
All employees and officers of DIPI
should protect the Company’s assets and
ensure all Company assets are used for legitimate Company purposes. Any
suspected incident of fraud or theft should be immediately reported for
investigation.
Do not
–
Use Company assets for your personal benefit or the benefit of anyone
other than the Company.
Do not engage in personal activities during work hours that prevent you
from fulfilling your job responsibilities
Do not use Company computers and equipment for non-business purpose.
ii)
Confidential Information
The Company's confidential information is a valuable asset. All confidential
information must be used for Company business purposes only. Every Director,
Officer, employee, agent and contractor must safeguard it. Our responsibility in
this regard includes not disclosing the company confidential information
without authorization from the company.
Do not
–
Disclose confidential information to anyone outside the Company, including
to family and friends, except when disclosure is required for business
purposes. Even then, you must contact the Legal/IP Department to ensure
appropriate steps are taken, such as execution of a confidentiality
agreement, to prevent misuse of information.
Disclose confidential information to others inside the Company unless they
have a business reason to know, and communications have been classified
according to the Information Protection Policy.
Disregard the Information Protection Policy put in place by the Company,


package
tests
Type Members
-
class
CombatTest extends FunSuite with TestKitBase with ImplicitSender
-
class
GroupMapTest extends FunSuite with TestKitBase with ImplicitSender
-
class
ParserTest extends FunSuite
-
class
PlayerMapTest extends FunSuite with TestKitBase with ImplicitSender
-
-
class
RoomGenTest extends FunSuite
-
class
RoomTest extends FunSuite


%%header.html%% These are downloadable examples that can be compiled with their respective compilers. Electrical and Gravitational Force Simulator (MATLAB) Zork Clone with XML Parsing (C++) %%footer.html%%