Introduction
In this multi-part series we look at Neural Machine Translation, the technology behind how machines understand humans. The first of which(current article) is a completely pictorial and a non technical take on the technology and its potential. The rest of the parts will be a rigorous under-the-skin (math,code and logic) look at Neural Machine Translators, Attention and, the cherry on the cake Googles Neural Machine Translators. The rigorous under-the-skin (math,code and logic) look will enable you to recreate the system for your own needs.
In the current article, we take a highly simplified, completely pictorial look at Artificial Intelligence(AI) based translation systems from one Natural Language to another. Natural language, as in the way humans speak and how far have we come in designing machines that understand and act on it. Once you have a solid understanding of systems like these, we take a look at where are we currently applying it to(case studies), to broaden the horizons.
Artificial Intelligence(AI) is a vast subject. To explain in short and without getting technical is even more difficult. However, if we confine ourselves to examples in a particular domain, it might be a lot easier. Once we understand AI in the context of our chosen example, we could then broaden the horizon. In our case, we consider software that translates text from one language to another. Let’s look at a quick history first.
There are multiple parts to the article:
Machine Translation: A quick history
Machine Translation(MT)
On a basic level, MT performs simple substitution of words in one language for words in another. But that alone cannot produce a good translation of a text because recognition of whole phrases and their closest counterparts in the target language is needed. Have you ever watched a movie with subtitles being so bad it actually distracts? A few years back I have had the crass luck of accidentally watching a movie with subtitles turn on for the Hindi language. I am wondering if I can call it hilarious or scary, maybe both. A serious plot-based movie’s literal translation of “holy shit” in Hindi forever ruined my movie-watching experience.
The context of what is being said is extremely vital to do a decent translation. Let's look at an example. Out of many possibilities, one correct literal translations of “Higher ape” to Hindi would be “ooncha bandar”, translated back to English it becomes “Tall monkey”. The last example completely loses the context of what is being said. The genetic ancestral context is completely lost.
Rule-based Machine Translation(RBMT)
An RBMT system generates output sentences (in some target language) based on morphological, syntactic, and semantic analysis of both the source and the target languages involved in a concrete translation task. This is difficult, to say the least. And the rules for a language is not reusable for another.
Statistical Machine Translation(SMT)
Statistical machine translation was re-introduced in the late 1980s and early 1990s by researchers at IBM’s Thomas J. Watson Research Center. Roughly translated and simplified, SMT measures the conditional probability that a sequence of words Y in the target language is a true translation of a sequence of words X in the source language. The problem with SMT is that the use of probabilities to understand the complex structure of language was a bit too simplistic. They have had moderate success and were used nearly a decade back.
Neural Machine Translators(NMT)
The object of our discussion in the current article and the accuracy has to be seen to be believed. To be precise, what I am presenting today is Neural Machine Translators(NMT) with Attention. Like most(not all) AI-based models, NMTs also learn by looking at examples, in our case example translations. In this respect, they are similar to SMTs. However, their internal representation where they store their understanding is a neural network instead of a probabilistic one.
Neural Machine Translators(NMT) with Attention
There are multiple parts:
- Process of training
- Jump to accuracy first
- Generality
- Practice makes the NMT perfect
- Hindi to Engish Examples
- Byte pair Encoding
- Could not resist having some fun
- French to english
- Other Languages
Process of training
- Ignore the blue rectangle for now.
- Words are converted to their numerical representation called embeddings before being fed into the NMT.
- Once you have trained with enough data, the NMTs start to understand the 2 languages in question. In figure-1 its Hindi to English.
- Ignore the blue rectangle for now.
- Once you have trained with enough data, the NMTs start to understand the 2 languages in question. In figure-2 its French to English.
- Ignore the blue rectangle for now.
- Once you have trained with enough data, the NMTs start to understand the 2 languages in question. In figure-2 its Vietnamese to English.
- The training has to be meticulous, in that, the data has to be as accurate as possible. Various measures of accuracy checks have to employed to see if the desired accuracy has been achieved. Some data has to be kept aside for testing that is not shown during training. That and more in the deep technical analysis the articles that follow.
 If you have not seen a system like this before, the results are nothing but magical.
- Take a pause, and imagine yourself translating between any 2 languages you know. It Happens subconsciously, but pause and analyze the process. You read the source sentence first, and then as you translate you keep your focus on the phrases/words and the surrounding words from the source sentence . Attention-based NMTs are built with the same idea.
- But what is that matrix?
- During the training, The NMT jots down its understanding of the 2 languages in it’s internal LSTM based neural network.
- I’m merely visualizing it specific to this example translation.
- It illustrates the attention(pun intended) paid on the source words/phrases to translate to target words/phrases.
- The process is very similar to human Translators.
- The highlighted portions of a matrix illustrate the specific word/phrases within the sentences.
- The highlighted portions show prepositions in both languages.
- Well, it should come as no surprise that the NMTs can work out “Parts of speech” of a language and not just the prepositions.
Generality:
If the accuracy is convincing then, let’s talk about generality. As you can witness yourself, the model architecture remains the same but when trained with different datasets “it acquires knowledge” about that data set and starts making predictions, in our case translations. This probably the most important reason why AI is going to redefine how programming is done in the future.
Practice makes the NMT perfect:
The next couple of pictures illustrate the gradual attainment of knowledge by the NMT as we increase the training rounds.
- 500 rounds/epochs of training.
- 1000 rounds/epochs of training.
- The most important aspect being the difference between what is predicted by the NMT and what is the ground truth.
- This difference which we historically call error or loss is “communicated” back to the NMT.
- The NMT promptly adjusts its internal state and explore other possibilities.
- This is what “we”(scientific community) refer to as learning, and we think(well, the same scientific community) this learning “somewhat” mimics how human brain work.
- 2000 rounds/epochs of training.
- 5000 rounds/epochs of training.
- 7000 rounds/epochs of training.
- 10000 rounds/epochs of training.
- Incremental comparison
- The picture on the right has a far better distribution of attention weights then the one on the left.
Hindi to Engish Examples
Why Hindi? I could have chosen any language where data was easy to come by. I did not because, with Hindi I can double up as a human evaluator. This is a language we speak at home, to be more precise, it is a mix of English, Hindi, and Kannada. My Hindi skills are, at best average but good enough for evaluating the translations.
The data for Indian languages are surprisingly difficult to come by. The data that is used for this blog, does not belong to Stillwaters or Stillwaters’ client by any means. This has been personally sourced for this blog from Charles University, Czech Republic and Statistical Machine Translation. When Stillwaters or me personally work with a social media giant, fintech giant or one of the formost chipmaker, the data is sourced by their team and, one can make guarantees about it’s accuracy. Infact, they have dedicated team(s) which exists solely for this purpose. However, that data cannot be shared for various reasons. The same cannot be said about personally sourced dataset like the ones I’m using for this blog. The Example below shows an example of a really bad translation. It isn’t even a good literal translation. In fact it is an incorrect statement in English.
“मलेरिया के मुकाबले।”
“than are put into malaria.”
One bad translation might be an oversight but there are many bad sample translations. One too many to ignore. Long story short, the accuracy of the translations can be much much much better with better data.
Byte pair Encoding
- BPE Stands for Byte Pair Encoding. It was originally developed for compressing data. While it is still used for compression in Natural Language processing, it has a few more important advantages.
- Intuitively speaking, this is how words are made up in many languages. Longer words are made up of shorter syllabic sounds.
- Let’s say that we train a model on words like “walk”, “walking”, “walked” and it begins to understand the relationship between the words. However, a similar relationship between “talk”, “talked”, “talking” isn’t clear by analogy if it has not trained on all the words before. This can be remedied by breaking words into smaller syllabic tokens. Words like “walking” can be broken down into “walk” and “ing”. Similarly “walked” can be broken down into “walk” and “ed”. This also clarifies the meaning of “ed” and “ing” to the model and by analogy, the model is able to infer the meaning of talking even though it has never encountered the word before.
- Another positive side effect is, rare words not seen at training time can still be recognized because they are made up of smaller syllabic tokens.
- Lastly, it improves accuracy.
- Now, even if you have not understood the above points, just remember the words are broken down into smaller syllabic tokens before being fed into the NMT.
- Rest of the examples are in BPE encoding.
- Hindi to english:ex-1
- Hindi to english:ex-2
- Hindi to english:ex-3
- Hindi to english:ex-4
- The remaining examples are long and complex sentences. We could solved them only post the arrival of Attention.
Src:”ल@@ ले@@ याल सत@@ वारी के ना@@ यब सर@@ पंच चैन सिंह ने बताया कि यहां आने वाले श ् रद ् धा@@ लुओं के लिए ल@@ ंगर की भी व ् यवस ् था है ।”
Ref:”Nay@@ ab Sar@@ pan@@ ch of Lal@@ ey@@ al Sat@@ wari , Cha@@ in Singh said that a L@@ ang@@ ar has also been organised for the pilgrims visiting this place .”
NMT:”Nay@@ ab Sar@@ pan@@ ch of Lal@@ ey@@ al Sat@@ wari , Cha@@ in Singh said that a L@@ ang@@ ar has also been organised for the pilgrims visiting this place .”
- Hindi to english:ex-5
Src:”शुक ् रवार को जय@@ राम ने कहा कि अदालतों का अपनी सीमाएं पार करते हुए अफसरों और सरकार के काम को अपने हाथ में ले लेना ठीक नहीं है ।”
Ref:”On Friday J@@ airam said that it is not right for the Courts to exceed their powers and take the job of the officers and the Government into their own hands .”
NMT:”On Friday J@@ airam said that it is not right for the Courts to exceed their powers and take the job of the officers and the Government into their own hands .”
Could not resist having some fun
The premise of article is about bad and out of context subtitles. Just couldn’t stop my self from indulging in a little fun.
- Hindi to english:ex-6
- Just in case, I am not quoting a former president of United States.
Src:”बड ़ े-@@ बड ़ े देशों में छोटी-@@ छोटी बातें होती रहती हैं ' ।”
Ref:”In big countries , little things like these keep happening .”
NMT:”In big countries , little things like these keep happening .”
- Hindi to english:ex-7
- Neither am I quoting Paulo Coelho.
Src:”इतनी शि@@ द@@ अत से मैं तुम ् हे पाने की कोशिश की है , की हर ज़@@ ारे ने मुझे तुमसे मिलाने की सा@@ ज़@@ ि@@ श की है ।”
Ref:”I have tried to get you with all my heart , that the whole universe has con@@ sp@@ ired to introduce me to you .”
NMT:”I have tried to get you with all my heart , the whole universe has con@@ sp@@ ired to introduce me to you .”

NMT:”Bas@@ anti don 't dance in front of these dogs .”
French to english
My knowledge of the French language is rudimentary. I learnt French for understanding NMT results. That is the limit of French knowledge. However, one of the things that stood out for me in French were adjectives. In English, adjectives are pretty easy to use. You put them before the noun they describe and you’re done. In French however, the placement of adjectives varies. And if that wasn’t enough to confuse you and me, adjectives also change depending on whether the noun they describe is masculine, feminine, singular or plurial.
- French to english:ex-1
- Adjectives to the test.
- French to english:ex-2
- I would like to argue that the one on the right is more finely tuned, because its translations are much more succinct.
Other Languages
What about supporting other Indian languages? Technically it is a no brainer. It will take half a day for my team to set it up. The only problem is data. We do not have high-quality data. Irony is I did not find high-quality data for Hindi-to-English training in India. For that, I have to thank Charles University, Czech Republic and Statistical Machine Translation for loaning it to me. If you find parallel corpus for the data of the language(s) you want to support ping us at<EMAIL_ADDRESS>For Kannada I have facing extreme pressure from home as well as office for obvious reasons. ;-) Tamil, Telegu, Punjabi, Malyalam, Gujrati, Bengali, Japanese e.t.c. Imagine speaking to your machine in your native language. Even local dialects can be supported like Swiss-German, Bhojpuri etc.
Case Studies
Imagine this, if an AI model like NMT can excel at translation merely by looking at examples, what else can it be good at by the same analogy. But lets stay with translation for a while and imagine this. If the translations can be as good as you what you have seen, and can be bettered with better data, the NMT does this by storing in its “internal neural representation” the knowledge it has gained on the languages it has been trained on. Now imagine what one could achieve with the interface to a machine being a Natural Language. A general Listing would be too exhaustive, so down below are some of the applications that we have directly built using this technology and its derivatives in the last 3-4 years.
Natural Language Processing case studies
- Automating L1/L2/L3 support systems: Most organizations have historical data stored in sources(mails, JIRA, in house Knowledge bases, application logs and, source code). Most support systems manually feed of this data collectively referred to as sources. Automated Support System has the smarts to read or hear a support query and because it contexually understands the query(using the below mentioned technologies), transform it to form that can be fired against one or more of the above sources. The sources respond with the information which is then assimilated. The assimilated results are then transformed into Natural Language and sent back to the client.
* Speech to text: Converting speech to text.
* Text to speech: Converting text to speech.
* Handwriting recognition:
* Speech Translation: Speech from one language to another.
* SQL Query Generation: Given a query in Natural Language, the MODEL translates it to an SQL
query that is ready to be fired against a database or a knowledge base.
* Machine Comprehension: Given a passage of text, the MODEL can answer queries based on that.
(Recall middle school syllabus, Who said this to whom, only this time its the algorithm on the spot.)
* Parts of Speech taggings: Given a passage of text, the MODEL can mark the various parts of speech in
a sentence.
* Name Entity Recognition: Given a passage of text, the MODEL can mark the entities(Nouns) and their types.
* Sarcasm Detection:
* Word sense disambiguation:
* Hate speech Detection:
* Tone softening: Soften the tone of a sentence from being harsh and critical to a more polite tone without
making the intent of the message ambigous.
* Text Summarization: Given a passage, the model summarizes it.
* Topic Modelling: Given a passage, the MODEL suggests the topic for it.
Sequence based Case studies
Technologies like LSTM, Attention, Memory are fantastic at recognizing patterns in a sequence. Which is why they are great at speech, text etc. But language is not the only sequential data we deal with. Majority of dataset around us are some kind of sequence. Some examples are vehicle postions over time, stock prices, and all kinds of timeseies data. The details of these projects are extremely proprietary but the idea is simple. Presenting a few of them with a very short description. Neural Microprocessor Branch Predictions is something that we are extremely proud of. Once I finish the Natural Language Processing series, Ill look into the below mentioned case studies in a more detailed future post.
- Neural Microprocessor Branch Predictions: Depending on the exact CPU and code, Control-changing instructions, like branches in code add uncertainty in the execution of dependent instructions and lead to large performance loss in severely pipelined processors. Accurate prediction of branches is vital for modern CPUs. The latency incurred due to mispredictions is roughly proportionate to the size of the pipeline. For the last 4-5 generation CPUs (5-6 years) this should range between 12-30 cycles. It also wastes energy executing the wrong instruction path. Branch prediction improvements can boost performance and energy consumption significantly. For example, experiments on real processors showed that reducing the branch mispredictions by 3/4 improved the processor performance by 29%.
- Time Series Data: Return prediction on gold pricing is an example of time series data in finance. Traditionally forecasting time series data uses techniques like univariate Autoregressive (AR), univariateMoving Average (MA), Simple Exponential Smoothing (SES),and more notably Autoregressive Integrated Moving Average(ARIMA) with its many variations. However, with LSTMs when combined with Attention in some form, the improvement is upwards of 88%.
Summary
Is this the State-of-the-art(SOTA) technology for Artificial Intelligence in the field of Natural Language Processing? This field is a moving target and innovations are happening at a blinding speed. The scary part is this was SOTA less than a year ago. But today we have systems that take accuracy to a different level completely. Why then talk about NMTs? Well, NMTs are a major cog in the wheel for whatever is SOTA today.  So a great understanding of NMTs and its pieces is a precondition for understanding Transformers. In the immediate next post I’ll get under the skin of NMT and its back-propagation.


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getBind() method in PremonJJTDecComp
getBind() method in PremonJJTDecBindFunCurried
getBind() method in PremonJJTDecBind
getBind() method in PremonJJTDecLocalRecMany
getBind() method in PremonJJTDec
getColumn() method in ASCII_CharStream
getCon() method in PremonJJTParser
getDirty() method in TextAreaPlus
getEndColumn() method in ASCII_CharStream
getEndLine() method in ASCII_CharStream
getExp() method in PremonJJTParser
GetImage() method in ASCII_CharStream
getLine() method in ASCII_CharStream
getMessage() method in TokenMgrError
getMessage() method in ParseException
getNextToken() method in PremonJJTParserTokenManager
getNextToken() method in PremonJJTParser
GetSuffix(int) method in ASCII_CharStream
getToken(int) method in PremonJJTParser
Graph0 class
graph0(Constraints, Interface) method in MorTensorDots
graph0(Constraints, Interface) method in MorTrace
graph0(Constraints, Interface) method in MorId
graph0(Constraints, Interface) method in MorComp
graph0(Constraints, Interface) method in MorGenerator
graph0(Constraints, Interface) method in MorShuffle
graph0(Constraints, Interface) method in MorCurry
graph0(Constraints, Interface) method in MorTensor
graph0(Constraints, Interface) method in Mor
Graph0(Constraints, Interface, Interface) method in Graph0
Graph0BlueNode class
Graph0BlueNode(Constraints, String, Interface, Interface) method in Graph0BlueNode
Graph0Comp class
Graph0Comp(Constraints, Graph0, Graph0) method in Graph0Comp
Graph0Curry0 class
Graph0Curry0(Constraints, Graph0, Interface, Interface, Interface) method in Graph0Curry0
Graph0Curry1 class
Graph0Curry1(Constraints, Graph1, Interface, Interface, Interface) method in Graph0Curry1
Graph0Id class
Graph0Id(Constraints, Interface) method in Graph0Id
Graph0IdPerp class
Graph0IdPerp(Constraints, Interface) method in Graph0IdPerp
Graph0Pad class
Graph0Pad(Constraints, Graph0) method in Graph0Pad
Graph0PurpleNode class
Graph0PurpleNode(Constraints, String, Interface, Interface) method in Graph0PurpleNode
Graph0Shuffle class
Graph0Shuffle(Constraints, Shuffle, Interface, Interface) method in Graph0Shuffle
Graph0Tensor class
Graph0Tensor(Constraints, Graph0, Graph0) method in Graph0Tensor
Graph0TensorDots class
Graph0TensorDots(Constraints, Graph0, Graph0) method in Graph0TensorDots
Graph0UTurnL class
Graph0UTurnL(Constraints, Interface, Interface, Interface) method in Graph0UTurnL
Graph0UTurnR class
Graph0UTurnR(Constraints, Interface, Interface, Interface) method in Graph0UTurnR
Graph1 class
graph1(Constraints, Interface, int) method in MorTensor
graph1(Constraints, Interface, int) method in MorComp
graph1(Constraints, Interface, int) method in MorGenerator
graph1(Constraints, Interface, int) method in Mor
Graph1(Constraints, Interface, Interface, int, int) method in Graph1
Graph1Comp class
Graph1Comp(Constraints, Graph1, Graph1) method in Graph1Comp
Graph1Embed class
Graph1Embed(Constraints, Graph0, int) method in Graph1Embed
Graph1Pad class
Graph1Pad(Constraints, Graph1) method in Graph1Pad
Graph1RedNode class
Graph1RedNode(Constraints, String, Interface, Interface, int, int) method in Graph1RedNode
Graph1TensorL class
Graph1TensorL(Constraints, Graph1, Graph0, int) method in Graph1TensorL
Graph1TensorR class
Graph1TensorR(Constraints, Graph0, Graph1) method in Graph1TensorR
Grapher class
GraphicsGrapher class
GraphicsGrapher(Graphics, int, int) method in GraphicsGrapher
hide(PremonCon) method in PremonConBind
hide(PremonCon) method in PremonConEmpty
hide(PremonCon) method in PremonCon
ID variable in PremonJJTParserConstants
Id() method in PremonJJTParser
identity(Obj) method in Shuffle
init() method in AppletPremonEditor
init() method in AppletPremon
initial(Obj) method in Shuffle
INT variable in PremonJJTParserConstants
integer variable in PremonTypeVar
integer variable in ObjGenerator
Interface class
Interface() method in Interface
InterfaceObj class
InterfaceObj(Obj, Constraints, boolean) method in InterfaceObj
InterfaceSubrange class
InterfaceSubrange(Interface, int, int) method in InterfaceSubrange
InterfaceTensor class
InterfaceTensor(Interface, Interface) method in InterfaceTensor
isHorizontal(int) method in Constraints
isRed variable in PremonEnvironment
jjstrLiteralImages variable in PremonJJTParserTokenManager
jjtAddChild(Node, int) method in PremonJJTNode
jjtAddChild(Node, int) method in SimpleNode
jjtAddChild(Node, int) method in Node
JJTCATCENTRAL variable in PremonJJTParserTreeConstants
JJTCATPROC variable in PremonJJTParserTreeConstants
JJTCATVAL variable in PremonJJTParserTreeConstants
jjtClose() method in PremonJJTNode
jjtClose() method in SimpleNode
JJTCONBIND variable in PremonJJTParserTreeConstants
JJTCONBINDFUNCURRIED variable in PremonJJTParserTreeConstants
JJTCONCOMP variable in PremonJJTParserTreeConstants
JJTCONOPTIONAL variable in PremonJJTParserTreeConstants
JJTDECBIND variable in PremonJJTParserTreeConstants
JJTDECBINDFUNCURRIED variable in PremonJJTParserTreeConstants
JJTDECCOMP variable in PremonJJTParserTreeConstants
JJTDECLOCALRECMANY variable in PremonJJTParserTreeConstants
JJTDECRECMANY variable in PremonJJTParserTreeConstants
JJTEXPAPP variable in PremonJJTParserTreeConstants
JJTEXPAPPINFIX variable in PremonJJTParserTreeConstants
JJTEXPCOMP variable in PremonJJTParserTreeConstants
JJTEXPDEC variable in PremonJJTParserTreeConstants
JJTEXPDOTS variable in PremonJJTParserTreeConstants
JJTEXPDOUBLE variable in PremonJJTParserTreeConstants
JJTEXPFUNCURRIED variable in PremonJJTParserTreeConstants
JJTEXPFUNTHUNK variable in PremonJJTParserTreeConstants
JJTEXPINT variable in PremonJJTParserTreeConstants
JJTEXPOPTIONAL variable in PremonJJTParserTreeConstants
JJTEXPRETURN variable in PremonJJTParserTreeConstants
JJTEXPSTRING variable in PremonJJTParserTreeConstants
JJTEXPTOPLEVEL variable in PremonJJTParserTreeConstants
JJTEXPTUPLE variable in PremonJJTParserTreeConstants
JJTEXPVAR variable in PremonJJTParserTreeConstants
jjtGetChild(int) method in SimpleNode
jjtGetChild(int) method in PremonJJTNode
jjtGetChild(int) method in Node
jjtGetNumChildren() method in PremonJJTNode
jjtGetNumChildren() method in SimpleNode
jjtGetNumChildren() method in Node
jjtGetParent() method in SimpleNode
jjtGetParent() method in PremonJJTNode
jjtGetParent() method in Node
JJTID variable in PremonJJTParserTreeConstants
jjtNodeName variable in PremonJJTParserTreeConstants
jjtOpen() method in PremonJJTNode
jjtOpen() method in SimpleNode
JJTPATBIND variable in PremonJJTParserTreeConstants
JJTPATBINDFUNCURRIED variable in PremonJJTParserTreeConstants
JJTPATDOTS variable in PremonJJTParserTreeConstants
JJTPATTUPLE variable in PremonJJTParserTreeConstants
jjtree variable in PremonJJTParser
jjtSetParent(Node) method in PremonJJTNode
jjtSetParent(Node) method in SimpleNode
jjtSetParent(Node) method in Node
JJTTYPEDOTS variable in PremonJJTParserTreeConstants
JJTTYPEFUNCURRIED variable in PremonJJTParserTreeConstants
JJTTYPERESULT variable in PremonJJTParserTreeConstants
JJTTYPETUPLE variable in PremonJJTParserTreeConstants
JJTTYPEVAR variable in PremonJJTParserTreeConstants
JJTVOID variable in PremonJJTParserTreeConstants
join(PremonCat) method in PremonCatProc
join(PremonCat) method in PremonCatCentral
join(PremonCat) method in PremonCatVal
join(PremonCat) method in PremonCat
LET variable in PremonJJTParserConstants
LETTER variable in PremonJJTParserConstants
lexStateNames variable in PremonJJTParserTokenManager
LOCAL variable in PremonJJTParserConstants
lookup(String) method in PremonConBind
lookup(String) method in PremonConComp
lookup(String) method in PremonConEmpty
lookup(String) method in PremonCon
LPAREN variable in PremonJJTParserConstants
maximal(int) method in Solution
maximize(int, Solution) method in ConstraintCons
maximize(int, Solution) method in ConstraintEmpty
maximize(int, Solution) method in Constraint
mediate(Shuffle) method in Shuffle
minimal(int) method in Solution
minimize(int, Solution) method in ConstraintEmpty
minimize(int, Solution) method in ConstraintCons
minimize(int, Solution) method in Constraint
Mor class
MorComp class
MorComp(Mor, Mor) method in MorComp
MorCurry class
MorCurry(Mor, PremonCat, Obj, Obj) method in MorCurry
MorGenerator class
MorGenerator(PremonCat, Obj, Obj, String) method in MorGenerator
MorId class
MorIdI class
MorShuffle class
MorShuffle(Shuffle) method in MorShuffle
MorTensor class
MorTensor(Mor, Mor) method in MorTensor
MorTensorDots class
MorTensorDots(Mor, Mor) method in MorTensorDots
MorTrace class
MorTrace(Mor, Obj, Obj, Obj) method in MorTrace
name variable in PremonTarget
name variable in PremonJJTId
newHVar() method in Constraints
newVVar() method in Constraints
Node class
ObjFun class
ObjFun(PremonCat, Obj, Obj) method in ObjFun
ObjGenerator class
ObjGenerator(String) method in ObjGenerator
ObjI class
ObjTensor class
ObjTensor(Obj, Obj) method in ObjTensor
paint(Graphics) method in CanvasDrawer
parent variable in SimpleNode
parse(String) method in PremonTargetConstructors
parse(String) method in PremonTargetContext
parse(String) method in PremonTargetTerm
parse(String) method in PremonTarget
parseCon() method in PremonJJTParser
parsed variable in PremonTarget
ParseException class
ParseException() method in ParseException
ParseException(String) method in ParseException
ParseException(Token, int[][], String[]) method in ParseException
parseExp() method in PremonJJTParser
parser variable in SimpleNode
Pat() method in PremonJJTParser
PatTuple() method in PremonJJTParser
Premon class
PremonCat class
PremonCat() method in PremonCat
PremonCatCentral class
PremonCatCentral() method in PremonCatCentral
PremonCatProc class
PremonCatProc() method in PremonCatProc
PremonCatVal class
PremonCatVal() method in PremonCatVal
PremonCon class
PremonCon() method in PremonCon
PremonConBind class
PremonConBind(PremonVar) method in PremonConBind
PremonConComp class
PremonConComp(PremonCon, PremonCon) method in PremonConComp
PremonConEmpty class
PremonConEmpty() method in PremonConEmpty
PremonDec class
PremonDec() method in PremonDec
PremonDecBind class
PremonDecBind(PremonPat, PremonExp) method in PremonDecBind
PremonDecComp class
PremonDecComp(PremonDec, PremonDec) method in PremonDecComp
PremonDecLocalRec class
PremonDecLocalRec(PremonVar, PremonDec) method in PremonDecLocalRec
PremonEnvironment class
PremonEnvironment(Applet) method in PremonEnvironment
PremonExp class
PremonExp() method in PremonExp
PremonExpApp class
PremonExpApp(PremonExp, PremonExp) method in PremonExpApp
PremonExpDec class
PremonExpDec(PremonDec, PremonExp) method in PremonExpDec
PremonExpDots class
PremonExpDots(PremonExp, PremonExp) method in PremonExpDots
PremonExpDouble class
PremonExpDouble(double) method in PremonExpDouble
PremonExpFun class
PremonExpFun(PremonCat, PremonPat, PremonExp) method in PremonExpFun
PremonExpInt class
PremonExpInt(int) method in PremonExpInt
PremonExpString class
PremonExpString(String) method in PremonExpString
PremonExpTopLevel class
PremonExpTopLevel(PremonExp) method in PremonExpTopLevel
PremonExpTuple class
PremonExpTuple(PremonExp[]) method in PremonExpTuple
PremonExpVar class
PremonExpVar(PremonVar) method in PremonExpVar
PremonFrame class
PremonFrame(PremonEnvironment) method in PremonFrame
PremonJJTCat class
PremonJJTCat(int) method in PremonJJTCat
PremonJJTCatCentral class
PremonJJTCatCentral(int) method in PremonJJTCatCentral
PremonJJTCatProc class
PremonJJTCatProc(int) method in PremonJJTCatProc
PremonJJTCatVal class
PremonJJTCatVal(int) method in PremonJJTCatVal
PremonJJTCon class
PremonJJTCon(int) method in PremonJJTCon
PremonJJTConBind class
PremonJJTConBind(int) method in PremonJJTConBind
PremonJJTConBindFunCurried class
PremonJJTConBindFunCurried(int) method in PremonJJTConBindFunCurried
PremonJJTConComp class
PremonJJTConComp(int) method in PremonJJTConComp
PremonJJTConEmpty class
PremonJJTConEmpty(int) method in PremonJJTConEmpty
PremonJJTConOptional class
PremonJJTConOptional(int) method in PremonJJTConOptional
PremonJJTDec class
PremonJJTDec(int) method in PremonJJTDec
PremonJJTDecBind class
PremonJJTDecBind(int) method in PremonJJTDecBind
PremonJJTDecBindFunCurried class
PremonJJTDecBindFunCurried(int) method in PremonJJTDecBindFunCurried
PremonJJTDecComp class
PremonJJTDecComp(int) method in PremonJJTDecComp
PremonJJTDecLocalRecMany class
PremonJJTDecLocalRecMany(int) method in PremonJJTDecLocalRecMany
PremonJJTDecRecMany class
PremonJJTDecRecMany(int) method in PremonJJTDecRecMany
PremonJJTExp class
PremonJJTExp(int) method in PremonJJTExp
PremonJJTExpApp class
PremonJJTExpApp(int) method in PremonJJTExpApp
PremonJJTExpAppInfix class
PremonJJTExpAppInfix(int) method in PremonJJTExpAppInfix
PremonJJTExpComp class
PremonJJTExpComp(int) method in PremonJJTExpComp
PremonJJTExpDec class
PremonJJTExpDec(int) method in PremonJJTExpDec
PremonJJTExpDots class
PremonJJTExpDots(int) method in PremonJJTExpDots
PremonJJTExpDouble class
PremonJJTExpDouble(int) method in PremonJJTExpDouble
PremonJJTExpFunCurried class
PremonJJTExpFunCurried(int) method in PremonJJTExpFunCurried
PremonJJTExpFunThunk class
PremonJJTExpFunThunk(int) method in PremonJJTExpFunThunk
PremonJJTExpInt class
PremonJJTExpInt(int) method in PremonJJTExpInt
PremonJJTExpOptional class
PremonJJTExpOptional(int) method in PremonJJTExpOptional
PremonJJTExpReturn class
PremonJJTExpReturn(int) method in PremonJJTExpReturn
PremonJJTExpString class
PremonJJTExpString(int) method in PremonJJTExpString
PremonJJTExpTopLevel class
PremonJJTExpTopLevel(int) method in PremonJJTExpTopLevel
PremonJJTExpTuple class
PremonJJTExpTuple(int) method in PremonJJTExpTuple
PremonJJTExpVar class
PremonJJTExpVar(int) method in PremonJJTExpVar
PremonJJTId class
PremonJJTId(int) method in PremonJJTId
PremonJJTNode class
PremonJJTNode(int) method in PremonJJTNode
PremonJJTParser class
PremonJJTParser(InputStream) method in PremonJJTParser
PremonJJTParser(PremonJJTParserTokenManager) method in PremonJJTParser
PremonJJTParser(Reader) method in PremonJJTParser
PremonJJTParser(String) method in PremonJJTParser
PremonJJTParserConstants class
PremonJJTParserTokenManager class
PremonJJTParserTokenManager(ASCII_CharStream) method in PremonJJTParserTokenManager
PremonJJTParserTokenManager(ASCII_CharStream, int) method in PremonJJTParserTokenManager
PremonJJTParserTreeConstants class
PremonJJTPat class
PremonJJTPat(int) method in PremonJJTPat
PremonJJTPatBind class
PremonJJTPatBind(int) method in PremonJJTPatBind
PremonJJTPatBindFunCurried class
PremonJJTPatBindFunCurried(int) method in PremonJJTPatBindFunCurried
PremonJJTPatDots class
PremonJJTPatDots(int) method in PremonJJTPatDots
PremonJJTPatTuple class
PremonJJTPatTuple(int) method in PremonJJTPatTuple
PremonJJTType class
PremonJJTType(int) method in PremonJJTType
PremonJJTTypeDots class
PremonJJTTypeDots(int) method in PremonJJTTypeDots
PremonJJTTypeFunCurried class
PremonJJTTypeFunCurried(int) method in PremonJJTTypeFunCurried
PremonJJTTypeResult class
PremonJJTTypeResult(int) method in PremonJJTTypeResult
PremonJJTTypeTuple class
PremonJJTTypeTuple(int) method in PremonJJTTypeTuple
PremonJJTTypeVar class
PremonJJTTypeVar(int) method in PremonJJTTypeVar
PremonPanel class
PremonPanel(PremonEnvironment) method in PremonPanel
PremonPanel(PremonEnvironment, PremonFrame) method in PremonPanel
PremonPat class
PremonPat() method in PremonPat
PremonPatBind class
PremonPatBind(PremonVar) method in PremonPatBind
PremonPatDots class
PremonPatDots(PremonPat, PremonPat) method in PremonPatDots
PremonPatTuple class
PremonPatTuple(PremonPat[]) method in PremonPatTuple
PremonTarget class
PremonTarget() method in PremonTarget
PremonTargetConstructors class
PremonTargetConstructors(PremonJJTCon, PremonCon) method in PremonTargetConstructors
PremonTargetContext class
PremonTargetContext(PremonJJTCon, PremonCon) method in PremonTargetContext
PremonTargetTerm class
PremonTargetTerm(PremonJJTExp, PremonExp, PremonTargetContext, PremonTargetConstructors) method in PremonTargetTerm
PremonType class
PremonType() method in PremonType
PremonTypeDots class
PremonTypeDots(PremonType, PremonType) method in PremonTypeDots
PremonTypeFun class
PremonTypeFun(PremonCat, PremonType, PremonType) method in PremonTypeFun
PremonTypeTuple class
PremonTypeTuple(PremonType[]) method in PremonTypeTuple
PremonTypeVar class
PremonTypeVar(String) method in PremonTypeVar
PremonVar class
PremonVar(PremonType) method in PremonVar
PremonVar(String, PremonType) method in PremonVar
PremonVarPrimitive class
PremonVarPrimitive(String, PremonType) method in PremonVarPrimitive
PremonVarPrimitive(String, PremonType, int) method in PremonVarPrimitive
print(Printable) method in Printer
print(Printer) method in PremonDecComp
print(Printer) method in PremonDecLocalRec
print(Printer) method in MorTensor
print(Printer) method in MorTrace
print(Printer) method in ObjFun
print(Printer) method in PremonExpApp
print(Printer) method in MorTensorDots
print(Printer) method in PremonExpDec
print(Printer) method in PremonExpDots
print(Printer) method in PremonPatDots
print(Printer) method in PremonPatTuple
print(Printer) method in PremonTypeDots
print(Printer) method in PremonPatBind
print(Printer) method in PremonJJTTypeTuple
print(Printer) method in PremonJJTTypeVar
print(Printer) method in PremonTypeFun
print(Printer) method in PremonTypeTuple
print(Printer) method in PremonJJTTypeResult
print(Printer) method in PremonTypeVar
print(Printer) method in PremonJJTTypeFunCurried
print(Printer) method in PremonVarPrimitive
print(Printer) method in PremonVar
print(Printer) method in PremonJJTTypeDots
print(Printer) method in Printable
print(Printer) method in PremonJJTPatTuple
print(Printer) method in PremonJJTPatDots
print(Printer) method in PremonJJTPatBindFunCurried
print(Printer) method in PremonJJTPatBind
print(Printer) method in PrintableString
print(Printer) method in PremonExpDouble
print(Printer) method in ObjTensor
print(Printer) method in PremonExpFun
print(Printer) method in ObjGenerator
print(Printer) method in PremonExpInt
print(Printer) method in PremonJJTExpApp
print(Printer) method in PremonJJTExpDots
print(Printer) method in PremonJJTExpDouble
print(Printer) method in PremonJJTExpFunThunk
print(Printer) method in PremonJJTExpFunCurried
print(Printer) method in PremonJJTExpInt
print(Printer) method in PremonJJTExpString
print(Printer) method in PremonJJTExpTuple
print(Printer) method in PremonJJTExpVar
print(Printer) method in PremonJJTId
print(Printer) method in PremonJJTExpTopLevel
print(Printer) method in PremonJJTExpReturn
print(Printer) method in PremonJJTExpOptional
print(Printer) method in PremonJJTExpDec
print(Printer) method in PremonJJTExpComp
print(Printer) method in PremonJJTExpAppInfix
print(Printer) method in MorShuffle
print(Printer) method in PremonJJTDecRecMany
print(Printer) method in PremonJJTDecLocalRecMany
print(Printer) method in Shuffle
print(Printer) method in PremonJJTDecComp
print(Printer) method in PremonExpString
print(Printer) method in PremonJJTDecBindFunCurried
print(Printer) method in PremonJJTDecBind
print(Printer) method in PremonExpTopLevel
print(Printer) method in PremonJJTConOptional
print(Printer) method in PremonJJTConEmpty
print(Printer) method in PremonExpTuple
print(Printer) method in PremonJJTConComp
print(Printer) method in PremonJJTConBindFunCurried
print(Printer) method in PremonJJTConBind
print(Printer) method in PremonCatCentral
print(Printer) method in PremonJJTCatVal
print(Printer) method in PremonJJTCatProc
print(Printer) method in PremonJJTCatCentral
print(Printer) method in PremonExpVar
print(Printer) method in PremonConEmpty
print(Printer) method in PremonCatVal
print(Printer) method in PremonCatProc
print(Printer) method in PremonDecBind
print(Printer) method in Interface
print(Printer) method in MorComp
print(Printer) method in Constraints
print(Printer) method in PremonConBind
print(Printer) method in MorCurry
print(Printer) method in ConstraintEmpty
print(Printer) method in MorId
print(Printer) method in PremonConComp
print(Printer) method in MorGenerator
print(Printer) method in ConstraintCons
printA(Printable) method in Printer
printA(Printer) method in Printable
printA(Printer) method in PremonExpFun
printA(Printer) method in PremonJJTExpVar
printA(Printer) method in PremonExpVar
printA(Printer) method in PremonJJTExpString
printA(Printer) method in PremonJJTExpFunCurried
printA(Printer) method in PremonJJTExpInt
printA(Printer) method in PremonJJTExpDouble
printA(Printer) method in PremonExpDouble
printA(Printer) method in PremonJJTExpApp
printA(Printer) method in PremonExpString
printA(Printer) method in PremonExpInt
printA(Printer) method in PremonExpApp
Printable class
Printable() method in Printable
PrintableString class
PrintableString(String) method in PrintableString
printArray(Printable[], String) method in Printer
printArrow() method in Printer
printB(Printable) method in Printer
printB(Printer) method in PremonJJTPatTuple
printB(Printer) method in Printable
printB(Printer) method in PremonJJTExpTuple
printB(Printer) method in PremonJJTExpDec
printB(Printer) method in PremonJJTExpFunThunk
printB(Printer) method in PremonPatDots
printB(Printer) method in PremonTypeTuple
printB(Printer) method in PremonPatTuple
printB(Printer) method in PremonExpDots
printB(Printer) method in PremonJJTTypeTuple
printB(Printer) method in PremonTypeDots
printB(Printer) method in PremonExpTuple
printB(Printer) method in PremonExpDec
printBold(String) method in Printer
Printer class
PrinterStream class
PrinterStream(OutputStream) method in PrinterStream
PrinterStringBuffer class
PrinterStringBuffer() method in PrinterStringBuffer
PrinterTextArea class
PrinterTextArea(TextArea) method in PrinterTextArea
printItalic(String) method in Printer
printLBrace() method in Printer
printNewLine() method in Printer
printOtimes() method in Printer
printRawString(String) method in PrinterStringBuffer
printRawString(String) method in PrinterTextArea
printRawString(String) method in StdOut
printRawString(String) method in PrinterStream
printRawString(String) method in Printer
printRBrace() method in Printer
printRoman(String) method in Printer
printSpace() method in Printer
printString(String) method in Printer
printSubscript(Printable) method in Printer
printTypewriter(String) method in Printer
PROC variable in PremonJJTParserConstants
PSGrapher class
PSGrapher(int, int, int, int, String, int, Printer) method in PSGrapher
purple() method in GraphicsGrapher
readChar() method in ASCII_CharStream
REC variable in PremonJJTParserConstants
red() method in GraphicsGrapher
ReInit(ASCII_CharStream) method in PremonJJTParserTokenManager
ReInit(ASCII_CharStream, int) method in PremonJJTParserTokenManager
ReInit(InputStream) method in PremonJJTParser
ReInit(InputStream, int, int) method in ASCII_CharStream
ReInit(InputStream, int, int, int) method in ASCII_CharStream
ReInit(PremonJJTParserTokenManager) method in PremonJJTParser
ReInit(Reader) method in PremonJJTParser
ReInit(Reader, int, int) method in ASCII_CharStream
ReInit(Reader, int, int, int) method in ASCII_CharStream
reset() method in PremonTargetConstructors
reset() method in PremonTargetTerm
reset() method in PremonTargetContext
reset() method in PremonTarget
RETURN variable in PremonJJTParserConstants
RPAREN variable in PremonJJTParserConstants
SemanticError class
SemanticError() method in SemanticError
semantics() method in PremonConComp
semantics() method in PremonTypeVar
semantics() method in PremonExpApp
semantics() method in PremonVarPrimitive
semantics() method in PremonVar
semantics() method in PremonExp
semantics() method in PremonConEmpty
semantics() method in PremonConBind
semantics() method in PremonExpDots
semantics() method in PremonExpTopLevel
semantics() method in PremonExpVar
semantics() method in PremonType
semantics() method in PremonTypeDots
semantics() method in PremonExpTuple
semantics() method in PremonExpString
semantics() method in PremonTypeFun
semantics() method in PremonTypeTuple
semantics() method in PremonExpInt
semantics() method in PremonExpFun
semantics() method in PremonExpDouble
semantics() method in PremonExpDec
semantics() method in PremonCon
semanticsFrom(PremonCon) method in PremonExp
semanticsTo(PremonCon) method in PremonDecLocalRec
semanticsTo(PremonCon) method in PremonDec
semanticsTo(PremonCon) method in PremonDecComp
semanticsTo(PremonCon) method in PremonDecBind
semanticsTo(PremonCon) method in PremonCon
SEMI variable in PremonJJTParserConstants
setColour(PremonCat) method in Grapher
setName(String) method in PremonJJTId
setText(String) method in TextAreaPlus
setValue(double) method in PremonJJTExpDouble
setValue(int) method in PremonJJTExpInt
setValue(String) method in PremonJJTExpString
Shuffle class
shuffle(int) method in ShuffleIdentity
shuffle(int) method in ShuffleTensor
shuffle(int) method in ShuffleCoMediate
shuffle(int) method in ShuffleMediate
shuffle(int) method in ShuffleTerminal
shuffle(int) method in ShuffleComp
shuffle(int) method in ShuffleZero
shuffle(int) method in ShuffleInitial
shuffle(int) method in Shuffle
ShuffleCoMediate class
ShuffleCoMediate(Shuffle, Shuffle) method in ShuffleCoMediate
ShuffleComp class
ShuffleComp(Shuffle, Shuffle) method in ShuffleComp
shuffleFromVar(PremonVar) method in PremonConComp
shuffleFromVar(PremonVar) method in PremonConBind
shuffleFromVar(PremonVar) method in PremonConEmpty
shuffleFromVar(PremonVar) method in PremonCon
ShuffleIdentity class
ShuffleIdentity(Obj) method in ShuffleIdentity
ShuffleInitial class
ShuffleInitial(Obj) method in ShuffleInitial
ShuffleMediate class
ShuffleMediate(Shuffle, Shuffle) method in ShuffleMediate
ShuffleTensor class
ShuffleTensor(Shuffle, Shuffle) method in ShuffleTensor
ShuffleTerminal class
ShuffleTerminal(Obj) method in ShuffleTerminal
shuffleTo(PremonCon) method in PremonConBind
shuffleTo(PremonCon) method in PremonConEmpty
shuffleTo(PremonCon) method in PremonConComp
shuffleTo(PremonCon) method in PremonCon
shuffleToVar(PremonVar) method in PremonConComp
shuffleToVar(PremonVar) method in PremonConBind
shuffleToVar(PremonVar) method in PremonConEmpty
shuffleToVar(PremonVar) method in PremonCon
ShuffleZero class
ShuffleZero(Obj, Obj) method in ShuffleZero
simpleComp(Mor) method in MorId
simpleComp(Mor) method in MorComp
simpleComp(Mor) method in Mor
SimpleNode class
SimpleNode(int) method in SimpleNode
SimpleNode(PremonJJTParser, int) method in SimpleNode
Solution class
Solution(Constraints) method in Solution
solve() method in Constraints
source variable in PremonTypeFun
specialConstructor variable in ParseException
specialToken variable in Token
splitL(Obj, Obj) method in Interface
splitR(Obj, Obj) method in Interface
staticFlag variable in ASCII_CharStream
StdOut class
STRING variable in PremonJJTParserConstants
string variable in PremonTypeVar
string variable in ObjGenerator
subcat(PremonCat) method in PremonCatVal
subcat(PremonCat) method in PremonCatProc
subcat(PremonCat) method in PremonCatCentral
subcat(PremonCat) method in PremonCat
SwitchTo(int) method in PremonJJTParserTokenManager
SYMBOL variable in PremonJJTParserConstants
SYMBOLIC variable in PremonJJTParserConstants
tensor(Interface) method in Interface
tensor(Mor) method in MorShuffle
tensor(Shuffle) method in Shuffle
tensorDots(Mor) method in Mor
term variable in PremonEnvironment
term() method in PremonTargetTerm
termDesugared variable in PremonEnvironment
terminal(Obj) method in Shuffle
text variable in PremonTarget
TextAreaPlus class
TextAreaPlus(String) method in TextAreaPlus
textFont variable in PremonEnvironment
textFontMetrics variable in PremonEnvironment
Token class
token variable in PremonJJTParser
token_source variable in PremonJJTParser
tokenImage variable in PremonJJTParserConstants
tokenImage variable in ParseException
TokenMgrError class
TokenMgrError() method in TokenMgrError
TokenMgrError(boolean, int, int, int, String, char, int) method in TokenMgrError
TokenMgrError(String, int) method in TokenMgrError
topOr(int) method in Interface
toString() method in SimpleNode
toString() method in Printable
toString() method in PrinterStringBuffer
toString() method in PremonJJTId
toString(String) method in SimpleNode
trace(Obj, Obj, Obj) method in Mor
traceable() method in PremonTypeVar
traceable() method in PremonTypeDots
traceable() method in PremonTypeFun
traceable() method in PremonTypeTuple
traceable() method in PremonType
translate(int, int) method in CanvasDrawer
Type() method in PremonJJTParser
TypeError class
TypeError(String) method in TypeError
TypeTuple() method in PremonJJTParser
uniq() method in PremonConComp
uniq() method in PremonConEmpty
uniq() method in PremonConBind
unknownVar variable in TypeError
varCount variable in Constraints
[pizza's home]
[class hierarchy]


JS & CSS dependency:
For button components, it will be ok to import following css file: <link href="../wulfdist/css/wulf.basic.min.css" rel="stylesheet"/> <link href="../wulfdist/css/wulf.buttons.min.css" rel="stylesheet">
You can use a number of different Nokia-style buttons by adding a btn
class definition to a button element. A number of different button sizes are provided
through additional size classes like btn-large
, btn-standard
and btn-small
.
<button class="btn btn-large">Button</button>
<button class="btn btn-standard">Button</button>
<button class="btn btn-small">Button</button>
<button class="btn btn-standard" disabled>Button</button>
You can also use a dark version of the buttons by adding the
btn-action
class to the button element. These buttons are
stylistically distinctive to encourage the user to take action.
<button class="btn btn-action btn-standard">Button</button>
<button class="btn btn-action btn-standard" disabled>Button</button>
You can add .btn-not-print for button if you don't want it to be shown when printing.
<button class="btn btn-large btn-not-print">Button</button>
In addition to the regular buttons, you can also choose from
a few different special buttons for common use cases, such as
closing, minimizing,accessing help and displaying information. These buttons do not require
any additional markup other than adding a class like btn-close
,
btn-minimize
, btn-help
or btn-info
:
<button class="btn btn-close"></button>
<button class="btn btn-minimize"></button>
<button class="btn btn-help"></button>
<button class="btn btn-info"></button>
Note that these buttons are defined by appereance only and they do not provide any functionality by themselves. You should use JavaScript if you wish to define functionality for the buttons.
You can use a icons inside buttons as well by including a span
element
with the icon definition. To make sure that the button dimensions are correct, add
the btn-icon
class to the button:
<button class="btn btn-icon">

</button>
<button class="btn btn-icon" disabled>

</button>
If you wish to include also text alongside an icon in the button, make sure to wrap your text content in a span to ensure proper padding between the elements:
<button class="btn btn-icon">

Buttons with icons
</button>
You can turn a button to default button. To make sure that the button dimensions are correct, add
the btn-defaultBlue
class to the button:
<button class="btn btn-standard btn-defaultBlue">
</button>
<button class="btn btn-close btn-defaultBlue">

</button>
<button class="btn btn-icon btn-defaultBlue">

</button>
Note: Comment button normal and hover states differ from OT3.1.
<button class="btn btn-icon btn-comment" data-toggle="button">

</button>
<button class="btn btn-icon btn-comment" data-toggle="button" disabled>

</button>
Note: Star flag differs from OT3.1.
<button class="btn btn-icon btn-star-primary" data-toggle="button">

</button>
<button class="btn btn-icon btn-star-primary" data-toggle="button" disabled>

</button>
Chrome style Carousel button usage:
<button class="btn btn-carousel-chrome-back">

</button>
<button class="btn btn-carousel-chrome-next">

</button>
<button class="btn btn-carousel-chrome-back" disabled>

</button>
<button class="btn btn-carousel-chrome-next" disabled>

</button>;
Standard style carousel button usage (Note: icons do not follow OT3.1):
<button class="btn btn-carousel-standard btn-carousel-standard-back">

</button>
<button class="btn btn-carousel-standard btn-carousel-standard-bullet">

</button>
<button class="btn btn-carousel-standard btn-carousel-standard-next">

</button>

Details button usage:
<button class="btn btn-icon btn-details">

</button>
<button class="btn btn-icon btn-details">

</button>
<button class="btn btn-icon btn-details" disabled>

</button>


ChromeFrame full tab mode keyboard test. Verifies that keypress events make it correctly into ChromeFrame.
Keyboard test running....


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There are no comments in the Guestbook. What a pity.
User
Comment
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User:
Comment:
User cannot be empty.
Comment cannot be empty.


A Google Map
The map in this page comes from Google Maps and is embedded in the page using an <iframe> tag.


ICPC seizes 44 properties in Abuja worth N14.7bn
by Agency ReportThe Independent Corrupt Practices and Other Related Offences Commission (ICPC) on Friday said it had seized 44 assets valued at N14.7 billion.
The spokesperson of the anti-graft agency, Rasheedat Okoduwa, disclosed this in a statement in Abuja.
Mrs Okoduwa said the assets, located in the Federal Capital Teritory, comprised two mansions, 27 pieces of land, one factory building and 15 buildings at Asokoro, Maitama and other districts.
She stated that the assets were linked to 32 corporate entities and that the seizures followed the denial of ownership by the supposed owners.
She said: “The commission, in collaboration with the Federal Inland Revenue Service (FIRS), had found that the entities had N883.7 million tax liability on the seized properties.
“The seizure is based on Section 45(4) of the Corrupt Practices and Other Related Offences Act .” (NAN)


@property
Fluent
Althought it is not an error, it make harder identify which type of data this Fluent instance can handle.


This text, when highlighted will turn pink
learn more at CSS-Tricks
Lisa Savoie should be Sacramento but the rest shouldn't be because I used a parameter
with my Google Font!
Lisa Savoie should be Luckiest guy but not the rest!
This is either of limited utility, doesn't work, or I need to know more. But it is interesting!
Got it!
Make a photo downloadable with a click of the photo or text
And it opens in a new tab
Download
photo
Leading trim is supposed to take away default margins/padding so that leading can be consistently
applied
across browsers and fonts
Since it is across fonts, it can also help center text within a button
Custom Accessible radio & checkbox buttons but I dont' think I undertand?
link to
CodyHouse blog post
Automatic Security Code Autofill on Safari IOS
Twilio


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Prantl’s Bakery is a Pittsburgh institution. Its “Burnt Almond Torte” and 100+ sinful sweets have been a tradition for the last 40 years. In fact, there’s been a bakery in continuous operation at the flagship Shadyside store for over 100 years. Prantl’s is a bakery in the German tradition, with old-fashioned fruit Danish and nut-filled coffeecakes, but we can’t help but get excited about some of our “new favorites” as well, like key lime pie and our buttery croissants. In addition to our mouth watering special order cakes, we are famous for our “Burnt Almond Torte”, which was conceived by Henry Prantl after a trip to California. There was an almond glut the year he went and the Almond Board was trying to get bakers to use almonds in new and inspiring ways. Henry picked up a few ideas and brought them back to Pittsburgh where he refined them into our current recipe for “Burnt Almond Torte”, a unique and addictive dessert.
Henry and Jane Prantl retired from the business in 2007. The bakery is now owned and operated by John M. Felice, who strives to maintain the tradition of high quality baked goods.


public static interface MetaGraphDef.MetaInfoDefOrBuilder
extends org.nd4j.shade.protobuf.MessageOrBuilder
| Modifier and Type | Method and Description |
|---|---|
org.nd4j.shade.protobuf.Any |
getAnyInfo()
A serialized protobuf.
|
org.nd4j.shade.protobuf.AnyOrBuilder |
getAnyInfoOrBuilder()
A serialized protobuf.
|
String |
getMetaGraphVersion()
User specified Version string.
|
org.nd4j.shade.protobuf.ByteString |
getMetaGraphVersionBytes()
User specified Version string.
|
boolean |
getStrippedDefaultAttrs()
A flag to denote whether default-valued attrs have been stripped from
the nodes in this graph_def.
|
OpList |
getStrippedOpList()
A copy of the OpDefs used by the producer of this graph_def.
|
OpListOrBuilder |
getStrippedOpListOrBuilder()
A copy of the OpDefs used by the producer of this graph_def.
|
String |
getTags(int index)
User supplied tag(s) on the meta_graph and included graph_def.
|
org.nd4j.shade.protobuf.ByteString |
getTagsBytes(int index)
User supplied tag(s) on the meta_graph and included graph_def.
|
int |
getTagsCount()
User supplied tag(s) on the meta_graph and included graph_def.
|
List<String> |
getTagsList()
User supplied tag(s) on the meta_graph and included graph_def.
|
String |
getTensorflowGitVersion()
The __git_version__ string of the tensorflow build used to write this
graph.
|
org.nd4j.shade.protobuf.ByteString |
getTensorflowGitVersionBytes()
The __git_version__ string of the tensorflow build used to write this
graph.
|
String |
getTensorflowVersion()
The __version__ string of the tensorflow build used to write this graph.
|
org.nd4j.shade.protobuf.ByteString |
getTensorflowVersionBytes()
The __version__ string of the tensorflow build used to write this graph.
|
boolean |
hasAnyInfo()
A serialized protobuf.
|
boolean |
hasStrippedOpList()
A copy of the OpDefs used by the producer of this graph_def.
|
findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
String getMetaGraphVersion()
User specified Version string. Can be the name of the model and revision, steps this model has been trained to, etc.
string meta_graph_version = 1;
org.nd4j.shade.protobuf.ByteString getMetaGraphVersionBytes()
User specified Version string. Can be the name of the model and revision, steps this model has been trained to, etc.
string meta_graph_version = 1;
boolean hasStrippedOpList()
A copy of the OpDefs used by the producer of this graph_def. Descriptions and Ops not used in graph_def are stripped out.
.tensorflow.OpList stripped_op_list = 2;
OpList getStrippedOpList()
A copy of the OpDefs used by the producer of this graph_def. Descriptions and Ops not used in graph_def are stripped out.
.tensorflow.OpList stripped_op_list = 2;
OpListOrBuilder getStrippedOpListOrBuilder()
A copy of the OpDefs used by the producer of this graph_def. Descriptions and Ops not used in graph_def are stripped out.
.tensorflow.OpList stripped_op_list = 2;
boolean hasAnyInfo()
A serialized protobuf. Can be the time this meta graph is created, or modified, or name of the model.
.google.protobuf.Any any_info = 3;
org.nd4j.shade.protobuf.Any getAnyInfo()
A serialized protobuf. Can be the time this meta graph is created, or modified, or name of the model.
.google.protobuf.Any any_info = 3;
org.nd4j.shade.protobuf.AnyOrBuilder getAnyInfoOrBuilder()
A serialized protobuf. Can be the time this meta graph is created, or modified, or name of the model.
.google.protobuf.Any any_info = 3;
List<String> getTagsList()
User supplied tag(s) on the meta_graph and included graph_def. MetaGraphDefs should be tagged with their capabilities or use-cases. Examples: "train", "serve", "gpu", "tpu", etc. These tags enable loaders to access the MetaGraph(s) appropriate for a specific use-case or runtime environment.
repeated string tags = 4;
int getTagsCount()
User supplied tag(s) on the meta_graph and included graph_def. MetaGraphDefs should be tagged with their capabilities or use-cases. Examples: "train", "serve", "gpu", "tpu", etc. These tags enable loaders to access the MetaGraph(s) appropriate for a specific use-case or runtime environment.
repeated string tags = 4;
String getTags(int index)
User supplied tag(s) on the meta_graph and included graph_def. MetaGraphDefs should be tagged with their capabilities or use-cases. Examples: "train", "serve", "gpu", "tpu", etc. These tags enable loaders to access the MetaGraph(s) appropriate for a specific use-case or runtime environment.
repeated string tags = 4;
org.nd4j.shade.protobuf.ByteString getTagsBytes(int index)
User supplied tag(s) on the meta_graph and included graph_def. MetaGraphDefs should be tagged with their capabilities or use-cases. Examples: "train", "serve", "gpu", "tpu", etc. These tags enable loaders to access the MetaGraph(s) appropriate for a specific use-case or runtime environment.
repeated string tags = 4;
String getTensorflowVersion()
The __version__ string of the tensorflow build used to write this graph. This will be populated by the framework, which will overwrite any user supplied value.
string tensorflow_version = 5;
org.nd4j.shade.protobuf.ByteString getTensorflowVersionBytes()
The __version__ string of the tensorflow build used to write this graph. This will be populated by the framework, which will overwrite any user supplied value.
string tensorflow_version = 5;
String getTensorflowGitVersion()
The __git_version__ string of the tensorflow build used to write this graph. This will be populated by the framework, which will overwrite any user supplied value.
string tensorflow_git_version = 6;
org.nd4j.shade.protobuf.ByteString getTensorflowGitVersionBytes()
The __git_version__ string of the tensorflow build used to write this graph. This will be populated by the framework, which will overwrite any user supplied value.
string tensorflow_git_version = 6;
boolean getStrippedDefaultAttrs()
A flag to denote whether default-valued attrs have been stripped from the nodes in this graph_def.
bool stripped_default_attrs = 7;
Copyright © 2020. All rights reserved.


blur_on
WatermelonBlock Investor Interaction Hub
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Supporting You With 24x7 Post-Sale Support As Promised!


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YO|?^
BOTANICAL
»pARDE**,
BOTANIC
STATION
HERBARIUM,
BARBADOS,
W.I.
Herb
No,
.....................
Name...
York
Botanical
Garden
libSSblil
Locality.
Collector
Anthurium
willdenowii
Kunth
DET.
RICHARD
A.
HOWARD
REVISION
OF
CUBAN
PLANTS
Anthurium
Dusai
Engl.
Det.
J.P.
Carabia
194
6
7
8
9
10
The
New
York
copyright
reserved
botanical
garden
1622611
Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


This isn't groundbreaking or anything, but if I wanted some non-tooltip submenu action I would've had to dig around much more than I felt like doing.
The pattern for adding more than 3 levels on the second submenu should be pretty simple; add 35px for every new .push- pseduo class. The typography needs to be made responsive, but all of that will be for another day.
Leave me your thoughts and comments!


Here's where Nottinghamshire's mobile speed cameras will be from Monday, November 25
The list shows where mobile speed cameras and their crews will be working
by Oliver PridmoreNottinghamshire Police has revealed the latest list of locations where its mobile speed cameras will be patrolling over the next week.
The force sends out the cameras to sites across the county in a bid to tackle speeding motorists and reduce collisions.
Week commencing 25 November, 2019
A60 Nottingham Rd, Mansfield
New Mill Lane/ Sandlands Way, Mansfield Woodhouse
A6191 Southwell Rd West, Mansfield
Church Hill, Kirkby in Ashfield, Notts
B6028 Stoneyford Road, Skegby
B6040 Retford Rd, Worksop 40 limit section
B6041 Kilton Hill, Worksop
A17 Sleaford Road, Coddington
A60, Spion Kop, Notts
Main Street, Balderton, Notts
A52 (T) Clifton Boulevard, Nottingham (40mph area)
A609 Ilkeston Rd/Wollaton Rd/Russell Drive/Trowell Rd, Nottingham
A6005 Castle Boulevard/Abbey Bridge/University Boulevard, Nottingham
A6200/A52 Derby Rd, Nottingham
Beechdale Rd/Hollington Rd/Wigman Rd, Nottingham
Radford Boulevard / Lenton Boulevard, Nottingham
Nottingham Rd / Leake Rd, Gotham
B600 Nottingham Rd / Kimberley Rd, Nuthall
A609 Ilkeston Road, Trowell
Coppice Road, Arnold
Mobile speed cameras may also be in operation at additional sites on an ad hoc basis during the week, as the partnership reacts to recent complaints about speeding or sites that have been identified as emerging locations for road casualties.


Basic flexbox
Another flex item
All direct children of the flex container become flex children
Understanding flex-grow
Take total amount of free space and divide it according to the flex-grow
values for each flex item
With default values of flex: 0 1 auto
A
B
C
With flex: 1 1 auto
A
B
C
With last item not growing
A
B
C
Understanding flex-shrink
For each of the flex items that needs to be shrunk:
- Multiply its
flex-shrink
value by itsflex-basis
- Divide the resultant value by the sum of
flex-basis
values of all the flex items - Take this value and multiply by the total amount of space that needs to be shrunk
- That final value is the amount your flex item needs to shrink by
A
150px
B
450px
C
300px
A: (1 * 150) / (150 + 450 + 300) * 300 = 50px
B: (1 * 450) / (150 + 450 + 300) * 300 = 150px
C: (1 * 300) / (150 + 450 + 300) * 300 = 100px
Understanding flex-basis
With initial value of all items set to auto
, content width of longest sentence is around 455px
Word
This is a sentence.
This is a much longer sentence so this example can make sense.
If width
value is present, it will become the flex-basis
value
Word
This is a sentence.
This is a much longer sentence so this example can make sense.
If flex-basis
value is set, it will take precedence and become the flex-basis
value
Word
This is a sentence.
This is a much longer sentence so this example can make sense.
When flex values are set to flex: 1 1 auto
This is a sentence.
This is a another sentence.
We just need content that takes up space here.
When flex values are set to flex: 1 1 0
This is a sentence.
This is a another sentence.
We just need content that takes up space here.
Flex directions
Initial value of row
Another flex item
All direct children of the flex container become flex children
With flex-direction: column
Another flex item
All direct children of the flex container become flex children
With flex-direction: row-reverse
Another flex item
All direct children of the flex container become flex children
With flex-direction: column-reverse
Another flex item
All direct children of the flex container become flex children


The Cure to auction off one of Robert Smith’s ‘Disintegration’ era shirts
Happy bidding
The Cure have announced that they’re auctioning a shirt worn by Robert Smith during the band’s ‘Disintegration’ era for charity.
The distinctive black shirt will go under the hammer at Bonhams next month and is expected to sell for between £600-£800.
- READ MORE: “There are so many misconceptions about The Cure”: an exclusive interview with Robert Smith
It was worn by the singer during the band’s 1989 ‘Prayer’ tour in support of their classic album ‘Disintegration’, before making a return some 30 years later when the Crawley icons played the album in full across five nights at the Sydney Opera House earlier this year.
“I had five of these shirts made in 1989 for the Cure Prayer tour, and wore them at every show,” Smith commented.
“I dug them out, had the tails shortened by a couple of inches and wore them again for the Disintegration shows earlier this year.”
Smith has also signed the cuff of the shirt sleeve, ahead of it going under the hammer on December 17.
- The NME Big Read – Exclusive: Robert Smith on the past, present and future of The Cure
This comes after Smith previously submitted an artistic postcard to a charity auction for Heart Research last month.
Last month, he also revealed that three new Cure albums are currently in the works, hinting that one of those records could be released before the end of the year.
“Actually I have prepared three albums, two of them more advanced. The first will be the one that we will release very soon. I think that the first single, or the whole album, will come out this Christmas, or a little earlier. It has the title of ‘Live From the Moon’ and it will surely change its name,” said Smith.


BC Mapping Source
This structure represents the following BC mapping definition:
cimi.entity.Organization maps to http://hl7.org/fhir/us/core/StructureDefinition/us-core-organization: OrganizationName maps to name OrganizationAlias maps to alias // I wish FHIR allowed multiple names, but it doesn't Type maps to type OrganizationIdentifier maps to identifier Address maps to address ContactPoint maps to contact ActiveFlag maps to active PartOf maps to partOf


{% extends "base.html" %} {% block content %}
Sorry, but we've hit an internal error, which has been logged.
The unique identifier for your request is {{ id }}. Please feel free to mail us at<EMAIL_ADDRESS>to enquire about this error.
{% endblock %} {% block footer %} {% endblock %}


Select a
style
from drop down to see how demo applies different styles to the GridWeb Control.
Select another style:
=========
Standard
Colorful1
Colorful2
Professional1
Professional2
Traditional1
Traditional2
CustomStyle1
CustomStyle2


Dollars/Click:
1
Enter your username to start!
Total Player Dollars: $
0
Total Server Dollars: $
0
Cost: $25 Player Dollars
Dollars/click +1
Cost: $500 Server Dollars
All Players X2 multiplier to dollars/click
Cost: $500 Player Dollars (Hover over for details)
+1 Auto Clicker
Cost: $1000 Player Dollars
Halve all other player's money!
Username:
Message:


Lorraine Kelly lays into Jennifer Arcuri after Good Morning Britain interview
Lorraine Kelly criticised Jennifer Arcuri live on air, asking “what’s the point of you coming on TV?” after the US businesswoman appeared to dodge questions on Good Morning Britain.
Ms Arcuri swerved queries about her relationship with Boris Johnson, telling hosts Piers Morgan and Susanna Reid that she did not want to “be pressured into admitting” to anything about her links to the Prime Minister.
During a live link-up following the interview, Kelly told Morgan and Reid: “That was crazy wasn’t it? What’s the point, coming on and not answering any questions?”
Morgan asked Ms Arcuri if she had a response to Kelly, who repeated directly to her: “It just doesn’t make any sense. What’s the point in you coming on and not saying anything?”
Seemingly taken aback, Ms Arcuri asked: “I’m sorry?”
Kelly said: “What is the point of you coming on TV to clear the air and then you don’t say anything?”
Ms Arcuri replied: “I believe I said a few things. What is it that you’re looking for that I should say?”

Ms Arcuri has been at the centre of a controversy involving Mr Johnson, and in an interview with ITV Exposure that aired on Sunday she said she wished she had declared their personal relationship as a potential conflict of interest to avoid her “humiliation”.
Ms Arcuri claimed Mr Johnson cast her aside as though she was a “gremlin” after she tried to contact him for advice on how to handle the media interest.
Her links with Mr Johnson came under public scrutiny earlier this year over allegations she received favourable treatment for her business ventures during his eight-year stint as mayor of London.
The show alleges the pair were involved in an affair for more than four years.
In the interview with Good Morning Britain on Monday, Ms Arcuri was asked if she had had an affair with Mr Johnson after using the word in the documentary.
She said: “I’m not going to answer that question, but as you can tell, there was a very special relationship there.
“When it did come out, half the people already assumed the affair and told me to admit it. The other half wanted me to deny, deny, deny.”
She added that she can “concede to the fact that I have been heartbroken”.


Usually an object that implements this interface
also implements XPropertySet and at
least some of the properties have subproperties.
This interface allows direct access to subsubproperties, ...
up to an arbitrary nesting depth. Often the intermediate
elements of the hierarchy implement XProperty.
Each implementation specifies how the
hierarchical property names, that are
used to access the elements of the hierarchy,
are formed.
Commonly a notation similar to filesystem pathes
(separated by '/' slashes) or nested module names
(separated by dots '.' or '::') is used.


The srcip and dstip headers can be easily changed to specify different source and destination addresses. In the previous levels, we saw that changing the destination address changed the direction in which the packet was sent. Note, however, that we did not need to specify a source address. In fact, routers do not take into account where a packet is coming from, only where it is going. One security flaw of the Internet is that we can easily make a packet look like it is coming from one address when it is really coming from another. This is called spoofing.
To pass this level, send a packet from Alice's computer to Bob's computer that looks like it is coming from Carol.
Notice that we can trick Bob into thinking Carol is talking to him, even though we're not allowed to send packets from Carol!


Set keepInView
Add popup within bounds
Add popup slightly beyond bounds
Add popup far away
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Kill


This exercise covers exponential arithmetic with, in general, integer bases raised to nonnegative integer exponents. Handles three specific cases: integers raised to positive integers (this is the most common case); nonzero integers raised to 0; and -1, 0, and 1 raised to arbitrarily large positive integers. This exercise covers all the material presented in the Level 1 Exponents video.
PARENS( BASE )^{EXP}
round( pow( BASE, EXP ) )
x^1=x
, no matter what x
is.= expandExp( BASE, EXP )
= round( pow( BASE, EXP ) )


Hi, I'm TylerI Believe Good Process + Hard Work = Great Design |
Emu Study is a startup seeking funding to build an app that provides students a way to study on-the-go. Once users input their course material, they can press play and use voice commands to engage in a flashcards style learning experience. I was very pleased to take on this project because I am inspired by user experiences that actually relieve you from interacting with a screen. Never before could you do the dishes while studying for a test coming up. I think there is a lot of opportunity in rethinking our reliance on visual-muanual interaction to solve problems.
I was the sole designer on this team, and played a lead role drafting out the interaction design, branding packages, research material, and login page to illustrate to investors.
The Grip Designer by TRXN Surf Grip, allows customers to put together a custom package of self-adhesive foam cutouts. These foam stickers provide traction while surfing and are an alternative to surf wax. Part of the value of TRXN Surf Grip, is that surfers can use these stickers to give their boards a personal touch. In order to enhance this value, I created a prototype that allows customers to set the dimensions of their board, and create a layout of how they want their board to look using TRXN's available foam stickers. Once the user is done designing, they can calculate the total cost of the stickers they've used, and click "add to cart" when they're satisfied.
I made the interface monochromatic in order to not interfere with the user's design. I prioritized 'ease of use' and withheld from advanced features because I anticipated abandonment would be high if the learning curve was high.
Requiring people to identify themselves before engaging with a product is a pain point that is often ignored by developers. Logging in often leads to frustration when users get their password or username wrong. I created this interaction to try to make the process surprising and enjoyable. Users are rewarded as they fill out the fields by completing the animation. Log in and sign up screens are often a user's first impression of a product, so it is a unique area to show some personality and set things on the right foot.
Be Native is a mobile app that connects foreign language speakers to accent coaches. It was the winner of a business development competition called Startup Weekend in 2016. Four other teammates and I conducted research, developed the business idea, and put together mock-ups of the end product. I facilitated our original brainstorming sessions and designed the user-flow and interface.
Be Native's value was through human interaction with real accent coaches. Because of labor costs, we needed to design a system that got straight to the point, delivering value without time consuming pleasentries. Users are given a lesson each day and are prompted to record themselves saying a given phrase. Accent coaches give feedback and interact with students through a series of back and forth recordings that resembles a dialog box.
Sketch App, Illustrator, Photoshop, InDesign, InVision, Principle, Flinto, Hubspot, Mixpanel, HotJar, AppCues, Jira, Confluence, WordPress, HTML, CSS, Javascript
Born this Way
I find inspiration everywhere and have a life practice of putting myself in novel situations in order to liven my senses. I find dedication in my work and find extreme joy and fulfillment in working towards goals. I’m at at my best when I have a high degree of ownership and responsibility for a positive outcome. I’m a team player and natural collaborator but can easily dive deep into solo projects, sometimes forgetting to blink.
Design Ethos
Too often I see ego get in the way of good design. It is hubris to think you can design a perfect solution without feedback. Instead I believe in a transparent design process that allows for critique at multiple stages. I’ve never regretted going back to the drawing board. It is also important to identify your assumptions, and abandon them if they cannot be validated.
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Mollitia neque assumenda ipsam nihil, molestias magnam, recusandae quos quis inventore quisquam velit asperiores, vitae? Reprehenderit soluta, eos quod consequuntur itaque. Nam.
Close ProjectLorem ipsum dolor sit amet, consectetur adipisicing elit. Mollitia neque assumenda ipsam nihil, molestias magnam, recusandae quos quis inventore quisquam velit asperiores, vitae? Reprehenderit soluta, eos quod consequuntur itaque. Nam.
Close ProjectLorem ipsum dolor sit amet, consectetur adipisicing elit. Mollitia neque assumenda ipsam nihil, molestias magnam, recusandae quos quis inventore quisquam velit asperiores, vitae? Reprehenderit soluta, eos quod consequuntur itaque. Nam.
Close ProjectLorem ipsum dolor sit amet, consectetur adipisicing elit. Mollitia neque assumenda ipsam nihil, molestias magnam, recusandae quos quis inventore quisquam velit asperiores, vitae? Reprehenderit soluta, eos quod consequuntur itaque. Nam.
Close ProjectLorem ipsum dolor sit amet, consectetur adipisicing elit. Mollitia neque assumenda ipsam nihil, molestias magnam, recusandae quos quis inventore quisquam velit asperiores, vitae? Reprehenderit soluta, eos quod consequuntur itaque. Nam.
Close ProjectLorem ipsum dolor sit amet, consectetur adipisicing elit. Mollitia neque assumenda ipsam nihil, molestias magnam, recusandae quos quis inventore quisquam velit asperiores, vitae? Reprehenderit soluta, eos quod consequuntur itaque. Nam.
Close Project


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Classes in org.apache.axis.utils used by org.apache.axis| QFault
|
This class allows us to easily implement extensible qualified fault codes as defined by the SOAP Specification. |
Classes in org.apache.axis.utils used by org.apache.axis.client| Options
|
|
Classes in org.apache.axis.utils used by org.apache.axis.deployment.v2dd| LockableHashtable
|
This subclass of the java Hashtable allows individual entries to be "locked" so that their values cannot be overwritten or removed. |
Classes in org.apache.axis.utils used by org.apache.axis.deployment.wsdd| LockableHashtable
|
This subclass of the java Hashtable allows individual entries to be "locked" so that their values cannot be overwritten or removed. |
Classes in org.apache.axis.utils used by org.apache.axis.encoding.ser| JavaUtils.ConvertCache
|
It the argument to the convert(...) method implements the ConvertCache interface, the convert(...) method will use the set/get methods to store and retrieve converted values. |
Classes in org.apache.axis.utils used by org.apache.axis.message| Mapping
|
QFault
|
This class allows us to easily implement extensible qualified fault codes as defined by the SOAP Specification. |
Classes in org.apache.axis.utils used by org.apache.axis.utils| AxisClassLoader
|
This allows us to specify that certain classes, the ones we register using the registerClass method, should be loaded using this class loader - all others use the system default one. JavaUtils.HolderException
|
JWSClassLoader
|
Class loader for JWS files. NSStack
|
QFault
|
This class allows us to easily implement extensible qualified fault codes as defined by the SOAP Specification. |
|
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| PREV NEXT | FRAMES NO FRAMES |


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Computer graphics in Game development
Ivan Belyavtsev
5.02.2021
If a function \(x(t)\) contains no frequencies higher than \(B\) hertz, it is completely determined by giving its ordinates at a series of points spaced \(1/2B\) seconds apart. [1]
Due date: Friday, 19 February 2021, 12:00 AM


{% extends "help/base.html" %} {% load i18n %} {% block help_con %}
{% trans "Sometimes you don't want to sync some files or folders inside a library. To achieve this, create a syncwerk-ignore.txt file in the root folder of a library. This special file specifies the files and folders that Syncwerk should not sync. Each line in a ignore.txt file specifies a pattern. The following pattern format are supported." %}
# a regular file test-file # a dir test-dir/ # wildcard * test-star1/* test-star2/*.html # wildcard ? test-qu1/?.html test-qu2/?/
{% trans "The syncwerk-ignore.txt file only controls which files to exclude on the client side. You can still create a file from restapi web interface that's excluded on the client. In this case," %}
{% trans "syncwerk-ignore.txt only ignores files that are not synced yet. If a file is already synced, and some time later you add it to the ignore list, its existing versions won't be removed." %}
{% endblock %}


For the first time, this top comedian acts with Vijay Sethupathi! - Tamil News - IndiaGlitz.com
Actor Vijay Sethupathi's latest movie Sanga Thamizhan which was supposed to release yesterday, faced several issues which lead to the shows starting from yesterday night, and the movie has been receiving good response. The actor is now acting in several movies one of them being Yaadhum Oore Yaavarum Kelir
Yaadhum Oore Yaavarum Kelir is directed by debutant Venkata Krishna Roghanth, and the movie is produced by Chandaraa Arts. Yaadhum Oore Yaavarum Kelir is a music based movie, which was being shot in Kodaikanal, and is in its final stages of shooting.
It has been revealed now that the latest addition to the cast is popular comedian Vivek who is acting with Vijay Sethupathi for the first time. Yaadhum Oore Yaavarum Kelir has Megha Akash as the female lead, director Magizh Thirumeni playing the villain and Kaniha in an important role.
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இரண்டு விவசாயிகளின் கடனை தீர்த்த பிகில் வெற்றி!
"Will support the mission of Anitha's family!" - Udhayanidhi Stalin!
Thala Ajith honoured in Vijay Sethupathi's Sanga Thamizhan!
Breaking: Actress Sri Reddy opens on her Facebook post on Udhayanidhi Stalin!
Santhanam's next gets two heroines!
The price of Priyanka Chopra's new home will shock you!
More News
Breaking: Actress Sri Reddy opens on her Facebook post on Udhayanidhi Stalin!
Santhanam's next gets two heroines!
Nayanthara and Vignesh Shivn meet Ajith's Valimai producer!
Thala Ajith honoured in Vijay Sethupathi's Sanga Thamizhan!
Asuran star in Maniratnam's Ponniyin Selvan?
"Will support the mission of Anitha's family!" - Udhayanidhi Stalin!
The price of Priyanka Chopra's new home will shock you!
Another popular actor confirms joining Vijay's Thalapathy 64
Shruti Haasan opens up on parents Kamal and Sarika's divorce
Focussing on grassroot level football - Kathir's 'Jada' trailer review
Singer Suchitra's official clarification on suicide rumour
Vijay Sethupathi's 'Sanga Thamizhan' release updated by producer
Suriya unveils Karthi-Jyothika's exciting new movie title and first look
Superstar's heroine rocks social media with bikini video!
Superstar Rajnikanth magic helps fan recover from health issues!
Playback singer dies in road accident
Movie copied from Thalapathy Vijay-Atlee becomes blockbuster hit
Twist in tale - Meera Mitun gets central government post!
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Coimbatore accident: Rajeswari's leg amputated, fundraising started by family
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Man uploads morphed videos of sisters on TikTok, arrested
Tamil Nadu: 100-year-old woman dies one hour after 104-year-old husband's death
Is Vodafone leaving India? CEO says operation at risk of collapse
IIT Madras student names professor as cause of death in suicide note
Manual scavenging leads to man's death in Chennai's Express Avenue mall
No- shave November: Five beard styles to rock!
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High Court ban was on banners, not flagpoles: CM EPS on Coimbatore accident