Blockchain is a system in which a record of transactions made in bitcoin or another cryptocurrency are maintained across several computers that are linked in a peer-to-peer network.
The blockchain is an undeniably ingenious invention – the brainchild of a person or group of people known by the pseudonym, Satoshi Nakamoto.
But since then, it has evolved into something greater, and the main question every single person is asking is: What is Blockchain?
By allowing digital information to be distributed but not copied, blockchain technology created the backbone of a new type of internet.
Originally devised for the digital currency, Bitcoin, the tech community has now found other potential uses for the technology.
Autonomous things is an emerging term for the technological developments that are expected to bring computers into the physical environment as autonomous entities without human direction, freely moving and interacting with humans and other objects.
Self-navigating drones are the first Autonomous technology in deployment.
It is expected that the first mass-deployment of Autonomous technologies will be the autonomous car, generally expected to be available around 2020.
Other currently expected Autonomous technologies include home robotics (e.g., machines that provide care for the elderly, infirm or young), and military robots (air, land or sea autonomous machines with information-collection or target-attack capabilities).
Autonomous technologies share many common traits, which justify the common notation.
They are all based on recent breakthroughs in the domains of (deep) machine learning and artificial intelligence.
They all require extensive and prompt regulatory developments to specify the requirements from them and to license and manage their deployment.
And they all require unprecedented levels of safety (e.g., automobile safety) and security,to overcome concerns about the potential negative impact of the new technology.
There are two types of immersive experiences, one being when you are actually in a physical environment and the other where you are shown around a real or imagined environment via desktop, tablet, mobile or via VR ( Virtual Reality) headset. At Vismedia we specialise in the latter.
Our immersive experiences enable the viewer to explore spaces through a series of interconnected 360° environments into which you can place traditional 2D video and animation content alongside interactive hotspots and overlays, links to internal and external websites and downloadable documentation.
With immersion come several other terms that merit explanation.
The media likes to talk about (and use – often incompetently) Virtual Reality (VR), Augmented Reality (AR) and Mixed Reality (MR), among other terms.
Though they sometimes use these interchangeably, there are differences between all of these terms.
When we talk about Virtual Reality, we are describing a fully constructed CGI digital world into which you place the user and which they can interact with.
All of the contents of the world are man-made and rendered as needed.
360° Video or 360° Photography create environments that have been digitally captured from the real world, allowing the user to be placed inside and to feel a part of the captured moment from a more passive perspective.
An immersive experience can be delivered via desktop, tablet and mobile and because it is a 360° environment it can easily be transferred into a VR headset environment.
So although not by definition Virtual Reality it is enabled via a VR headset.
Augmented Reality, on the other hand, is a combination of the real world and certain digital elements.
The most well-known example of AR is certainly the mobile game Pokemon Go.
This is where objects are placed according to GPS or geolocated co-ordinates.
However increasingly we are seeing AR been used to overlay additional moving content to static flat content.
For example we recently worked with Unilever to bring an internal poster campaign to life by having animations that sat behind the posters and which were activated by holding the phone over the images.
The AR overlay also enabled to viewer to visit specific internal websites which were accessible by an AR click through button.
Simple but effective and also very measurable via back end analytics.
Finally, Mixed Reality is perhaps the most exciting of the three.
It’s basically a mix of holographic and virtual images, and the user wears special glasses to see it.
Many consider this to be the future of gaming (and a whole plethora of additional use cases)


For a given function or mapping, a codomain is a set within which the values of the function lie.
This is different from the set of values that the function actually takes (the range).


| 1 |
Chow_2013 |
The impact of influenza-like illness in young children on their parents: a quality of life survey |
Chow, Maria Yui Kwan; Yin, Jiehui Kevin; Heron, Leon; Morrow, Angela; Dierig, Alexa; Booy, Robert; Leask, Julie |
2013 |
2013-12-27 |
PMC |
N |
PMC7088548 |
24370954.0 |
10.1007/s11136-013-0606-3 |
1bqpc3x3 |
0.771795 |
|
Wu_P_2018, Simpson_2016 |
| 2 |
MacIntyre_2009 |
Face Mask Use and Control of Respiratory Virus Transmission in Households |
MacIntyre, C. Raina; Cauchemez, Simon; Dwyer, Dominic E.; Seale, Holly; Cheung, Pamela; Browne, Gary; Fasher, Michael; Wood, James; Gao, Zhanhai; Booy, Robert; Ferguson, Neil |
2009 |
2009-02-23 |
PMC |
N |
PMC2662657 |
19193267.0 |
10.3201/eid1502.081167 |
iu1d9i57 |
0.749321 |
Singer_2020 |
Ridgway_2015 |
| 3 |
Yin_J_2013 |
Estimates and determinants of economic impacts from influenza‐like illnesses caused by respiratory viruses in Australian children attending childcare: a cohort study |
Yin, Jiehui Kevin; Salkeld, Glenn; Lambert, Stephen B.; Dierig, Alexa; Heron, Leon; Leask, Julie; Yui Kwan Chow, Maria; Booy, Robert |
2013 |
2013-07-06 |
PMC |
N |
PMC4634260 |
23829670.0 |
10.1111/irv.12138 |
3x7axlff |
0.668018 |
|
Simpson_2016, Dierig_2014 |
| 4 |
Lambert_2008 |
The cost of community-managed viral respiratory illnesses in a cohort of healthy preschool-aged children |
Lambert, Stephen B; Allen, Kelly M; Carter, Robert C; Nolan, Terence M |
2008 |
2008-01-24 |
COMM-USE |
N |
PMC2266731 |
18215329.0 |
10.1186/1465-9921-9-11 |
hs3wfffs |
0.607320 |
|
|
| 5 |
Coleman_2011 |
Respiratory illnesses in Canadian health care workers: a pilot study of influenza vaccine and oseltamivir prophylaxis during the 2007/2008 influenza season |
Coleman, Brenda L.; Boggild, Andrea K.; Drews, Steven J.; Li, Yan; Low, Donald E.; McGeer, Allison J. |
2011 |
2011-04-05 |
PMC |
N |
PMC5780657 |
21668681.0 |
10.1111/j.1750-2659.2011.00245.x |
jam324v1 |
0.559533 |
|
Simpson_2016, Carvalho_2013, Ridgway_2015 |
| 6 |
McCaw_2012 |
Household transmission of respiratory viruses – assessment of viral, individual and household characteristics in a population study of healthy Australian adults |
McCaw, James M; Howard, Peter F; Richmond, Peter C; Nissen, Michael; Sloots, Theo; Lambert, Stephen B; Lai, Michael; Greenberg, Michael; Nolan, Terry; McVernon, Jodie |
2012 |
2012-12-11 |
COMM-USE |
N |
PMC3538067 |
23231698.0 |
10.1186/1471-2334-12-345 |
z7ygy25e |
0.513269 |
Azziz-Baumgartner_2012 |
Scott_2019 |
| 7 |
Coleman_2015 |
Zanamivir versus trivalent split virus influenza vaccine: a pilot randomized trial |
Coleman, Brenda L; Fadel, Shaza A; Drews, Steven J; Hatchette, Todd F; McGeer, Allison J |
2015 |
2015-01-04 |
COMM-USE |
N |
PMC4353320 |
25557838.0 |
10.1111/irv.12301 |
5mv15o9t |
0.473411 |
Azziz-Baumgartner_2012, Ridgway_2015 |
|
| 8 |
Lambert_2008 |
Parent-collected respiratory specimens—A novel method for respiratory virus and vaccine efficacy research |
Lambert, Stephen B.; Allen, Kelly M.; Nolan, Terence M. |
2008 |
2008-03-28 |
PMC |
N |
PMC7131404 |
18329758.0 |
10.1016/j.vaccine.2008.01.055 |
gihg7nwr |
0.423541 |
|
|
| 9 |
Dierig_2014 |
Epidemiology of respiratory viral infections in children enrolled in a study of influenza vaccine effectiveness |
Dierig, Alexa; Heron, Leon G; Lambert, Stephen B; Yin, Jiehui Kevin; Leask, Julie; Chow, Maria Yui Kwan; Sloots, Theo P; Nissen, Michael D; Ridda, Iman; Booy, Robert |
2014 |
2014-01-31 |
COMM-USE |
N |
PMC4181477 |
24483149.0 |
10.1111/irv.12229 |
af4jlmnd |
0.399112 |
|
Simpson_2016, Nolan_2015 |
| 10 |
Guo_R_2016 |
Impact of Influenza on Outpatient Visits, Hospitalizations, and Deaths by Using a Time Series Poisson Generalized Additive Model |
Guo, Ru-ning; Zheng, Hui-zhen; Ou, Chun-quan; Huang, Li-qun; Zhou, Yong; Zhang, Xin; Liang, Can-kun; Lin, Jin-yan; Zhong, Hao-jie; Song, Tie; Luo, Hui-ming |
2016 |
2016-02-19 |
COMM-USE |
N |
PMC4760679 |
26894876.0 |
10.1371/journal.pone.0149468 |
9hjk3vl7 |
0.391397 |
|
Al-Awaidy_2015 |
| 11 |
Yin_J_2011 |
Pilot study of influenza vaccine effectiveness in urban Australian children attending childcare |
Yin, J Kevin; Lahra, Monica M; Iskander, Mary; Lambert, Stephen B; Heron, Leon; Nissen, Michael D; Rost, Laura; Murphy, Jennifer; Sloots, Theo P; Booy, Robert |
2011 |
2011-06-10 |
PMC |
N |
PMC7166895 |
21658144.0 |
10.1111/j.1440-1754.2011.02098.x |
tnnd1s57 |
0.376883 |
Azziz-Baumgartner_2012, Ridgway_2015 |
|
| 12 |
MacIntyre_2012 |
Respiratory viruses transmission from children to adults within a household |
MacIntyre, Chandini Raina; Ridda, Iman; Seale, Holly; Gao, Zhanhai; Ratnamohan, Vigneswary Mala; Donovan, Linda; Zeng, Frank; Dwyer, Dominic E. |
2012 |
2012-04-19 |
PMC |
N |
PMC7115576 |
22119589.0 |
10.1016/j.vaccine.2011.11.047 |
beeq8m4v |
0.375647 |
|
|
| 13 |
Murray_2015 |
Direct costs of acute respiratory infections in a pediatric long‐term care facility |
Murray, Meghan T.; Heitkemper, Elizabeth; Jackson, Olivia; Neu, Natalie; Stone, Patricia; Cohen, Bevin; Saiman, Lisa; Hutcheon, Gordon; Larson, Elaine L. |
2015 |
2015-12-11 |
COMM-USE |
N |
PMC4687501 |
26425787.0 |
10.1111/irv.12350 |
tu9blscj |
0.369774 |
|
|
| 14 |
Kim_T_2012 |
Characteristics of respiratory viral infections during influenza season in Canadian Hutterite Communities |
Kim, Tae H.; Russell, Margaret L.; Fonseca, Kevin; Aoki, Fred; Horsman, Gregory; Van Caeseele, Paul; Chokani, Khami; Voight, Mark; Babiuk, Lorne; Moss, Lorraine; Webby, Richard; Earn, David J. D.; Singh, Pardeep; Howse, Cassandra; Loeb, Mark |
2012 |
2012-10-19 |
PMC |
N |
PMC4634280 |
23078120.0 |
10.1111/irv.12021 |
si7gp67x |
0.354802 |
|
Simpson_2016 |
| 15 |
Chen_2020 |
Novel Coronavirus International Public Health Emergency: Guidance on Radiation Oncology Facility Operation |
Chen, Wei; Su, Xiao-Ye; Wang, Victoria J.; Wang, Edina C.; Xu, Ruizhen; Zhong, Shiyan; Sun, Guoping; Xia, Jun |
2020 |
2020-04-01 |
PMC |
N |
|
|
10.1016/j.adro.2020.03.008 |
no0k0es6 |
0.300545 |
|
|


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Technology and art are my main interests, and I bring the two together in my work with an artistic eye and logical mind. I believe that form follows function and that good design should be honest.
I’ve worked as a Cybersecurity and IT Associate at Celestica and have helped mitigate risk and improve processes using applications/scripts I’ve maintained and developed. I've also volunteered for United Way, City of Toronto, and Habitat for Humanity to help give back to the communities I'm a part of.
May 2017 - August 2018
During my Professional Experience Year (PEY) at Celestica, I’ve mitigated IT risk, raised malware awareness, and improved compliance procedures. From launching phishing campaigns to over 5000 employees around the globe, co-founding the Celestica Intern Committee, to improving IT processes with automation by an average of about 50%, I’ve had my fair share of diverse responsibilities. JavaScript, CSS, HTML, and Python were among the programming skills I’ve used in my work.
Review, suggest and comment on fan fiction. Frontend made from scratch using HTML, CSS and JavaScript. Backend created with Node.JS and MongoDB. Deployed on Heroku. Created for the programming on the web class with a team of three other students.
Live demo
Source code
Created for a professor at the University of Toronto to test the correlation of frontal asymmetry with positive and negative emotions. The racing widget was designed and programmed the in the Processing 3 integrated development environment for my capstone design project.
Source code private
A personal project of mine. Its an android application to supplement Magic: The Gathering and Yu-Gi-Oh games. I created wireframes and mock-ups of the app (before development) and used an agile methodology to create the application.
Source code and APK
Here are some of my studies in my exploration on art. Drawn in graphite and coloured pencils.
A hobby where you paint tiny sculptures. Here are a couple miniatures I have painted.


Jade Bove's Portfolio Page
Welcome to my very first personal website—I hope that you enjoy what I've put together!
About Me
Hi, my name is Jade and I am a beginner level developer taking a coding course on Full Stack Development with MERN through the MIT xPro program. In the last three months I have gained invaluable skills and knowledge not only in the field of web development, but also problem solving and independent learning. In my spare time I enjoy cooking, traveling, and visiting the many museums in my hometown of New York City.
GitHub Username:
jadekb23
Contact Information
<EMAIL_ADDRESS>Projects
Check out three of the projects I've completed so far on my Project Page!
PacMen Factory
See how many PacMen you can generate and how fast you can make them bounce across the screen!
Moving Eyes
Can you tell where the eyes are looking? Hint: it might be at you...
Real Time Bus Tracking
Take a look at a local bus route in Boston using a live map animation


Previous: Declarative Method Combination, Up: Method Selection and Combination
The object system provides a set of built-in method combination types. To specify that a generic function is to use one of these method combination types, the name of the method combination type is given as the argument to the :method-combination option to defgeneric or to the :method-combination option to any of the other operators that specify generic function options.
The names of the built-in method combination types are listed in Figure 7–3.
| + | append | max | nconc | progn |
| and | list | min | or | standard |
Figure 7–3: Built-in Method Combination Types
The semantics of the standard built-in method combination type is described in Standard Method Combination. The other built-in method combination types are called simple built-in method combination types.
The simple built-in method combination types act as though they were defined by the short form of define-method-combination. They recognize two roles for methods:
An around method has the keyword symbol :around as its sole qualifier. The meaning of :around methods is the same as in standard method combination. Use of the functions call-next-method and next-method-p is supported in around methods.
A primary method has the name of the method combination type as its sole qualifier. For example, the built-in method combination type and recognizes methods whose sole qualifier is and; these are primary methods. Use of the functions call-next-method and next-method-p is not supported in primary methods.
The semantics of the simple built-in method combination types is as follows:
If there are any around methods, the most specific around method is called. It supplies the value or values of the generic function.
Inside the body of an around method, the function call-next-method can be used to call the next method. The generic function no-next-method is invoked if call-next-method is used and there is no applicable method to call. The function next-method-p may be used to determine whether a next method exists. When the next method returns, the around method can execute more code, perhaps based on the returned value or values.
If an around method invokes call-next-method, the next most specific around method is called, if one is applicable. If there are no around methods or if call-next-method is called by the least specific around method, a Lisp form derived from the name of the built-in method combination type and from the list of applicable primary methods is evaluated to produce the value of the generic function. Suppose the name of the method combination type is operator and the call to the generic function is of the form
Let M_1,...,M_k be the applicable primary methods in order; then the derived Lisp form is
a_1... a_n>...< M_k a_1... a_n>)
If the expression < M_i a_1... a_n> is evaluated, the method M_i will be applied to the arguments a_1... a_n. For example, if operator is or, the expression < M_i a_1... a_n> is evaluated only if < M_j a_1... a_n>, 1<= j<i, returned nil.
The default order for the primary methods is :most-specific-first. However, the order can be reversed by supplying :most-specific-last as the second argument to the :method-combination option.
The simple built-in method combination types require exactly one qualifier per method. An error is signaled if there are applicable methods with no qualifiers or with qualifiers that are not supported by the method combination type. An error is signaled if there are applicable around methods and no applicable primary methods.
Previous: Declarative Method Combination, Up: Method Selection and Combination


{% extends "layout.html" %} {% block page_title %} Apprenticeships {% endblock %} {% block content %} {% include "includes/phase_banner_beta.html" %} {% include "includes/primary-nav.html" %} {% include "includes/breadcrumbStart.html" %} {% include "includes/breadcrumbEnd.html" %} Account not added You need to grant authority to HMRC to add an account. Add new account You've removed 680/cacb268 680/cacb268 has been added Levy funds from this PAYE scheme will now credit your account Manage PAYE schemes Add PAYE schemes to allow levy funds to be added to your account. Add new scheme There are no PAYE schemes added. Scheme ID 123/AB12345 Remove 680/cacb268 Remove {% endblock %}
You need to grant authority to HMRC to add an account.
Levy funds from this PAYE scheme will now credit your account
Add PAYE schemes to allow levy funds to be added to your account.
There are no PAYE schemes added.


app
/
com.hexanovate.familytree.ui.marriage
/
ViewMarriageActivity
/
EXTRA_MARRIAGE
EXTRA_MARRIAGE
const
val
EXTRA_MARRIAGE
:
String
Intent extra key for supplying a
Marriage
to this activity.


{% extends "base.html" %}
Whether you're getting ready to sell your property or trying to find a property to buy, any real estate transaction can get pretty hectic. Yes, we know it's a little silly, but it doesn't hurt to take a moment to relax and enjoy our free coloring book. Color while enjoying a glass of wine or color with your kids. Whatever you decide we hope you have fun with it. Click on the button below to download it.
{% endblock %}


Lexical Analysis
Lexical Analysis
goal: identify each lexeme and return information on token
1 Lexical Analyzer Role
(1) read input characters, group them into lexemes, and produce output a sequence of tokens
(2) When the lexical analyzer discovers a lexeme constituting an identifier, it needs to enter that lexeme into the symbol table.
The figure suggests, parser will call lexical analyzer, and lexical analyzer read characters until find next token. lexical analyzer will also do some additional jobs:
(1) strip whitespace
(2) record line number for error message
3.1.1 Basic Concepts
(1) A token is a pair consisting of a token name and an optional attribute value. The token name is an abstract symbol representing a kind of lexical unit.
(2) A pattern is a description of the form that the lexemes of a token may take. the sequence of character which can form keywords
(3) A lexeme is a sequence of characters in the source program that matches the pattern for a token and is identified by the lexical analyzer as an instance of the token.
In most programming languages, the following classes cover most or all of the tokens:
(1) One token for each keyword. The pattern for a keyword is the same as the keyword itself.
(2) Tokens for the operators
(3) One token representing all identifiers.
(4) One or more tokens representing constants
(5) To kens for each punctuation symbol, such as left and right parentheses, comma, and semicolon.
Sometimes, token can have different matches, for example, 0 and 1 both match for number. So we not only need token names, we also need token attributes. The token name influences parsing decisions, while the attribute value influences translation of tokens after the parse. The appropriate attribute value for an identifier is a pointer to the symbol table entry for that identifier.
Lexical Errors suppose a situation arises in which the lexical analyzer is unable to proceed because none of the patterns for tokens matches any prefix of the remaining input. The simplest recovery strategy is "panic mode" recovery. We delete successive characters from the remaining input, until the lexical analyzer can find a well-formed token at the beginning of what input is left. This recovery technique may confuse the parser, but in an interactive computing environment it may be quite adequate.
2 Input Buffer
In Dragon book, we can see the example of Fortran language, which justifies the need to look ahead to help tokenize strings.
- The goal is to partition the string. This is implemented by reading left-to-right, recognizing one token at a time.
- "Lookahead" may be required to decide where one token ends and the next token begins. (we want to minimize look ahead)
There are many situations where we need to look at least one additional character ahead.
We can use a buffer pair to resolve the problem. Each buffer is of the same size N, which is usually the size of a disk block. Using one system read command we can read N characters into a buffer, rather than using one system call per character.
In the buffer, two pointers are maintained.
(1) Pointer lexemeBegin, marks the beginning of the current lexeme, whose extent we are attempting to determine.
(2) Pointer forward scans ahead until a pattern match is found; the exact strategy whereby this determination is made will be covered in the balance of this chapter.
We can add sentinels at the end of each buffer.
switch (*forward++) {
case eof:
if (forward is at end of first buffer) {
reload second buffer;
forward = beginning of second buffer;
}
else if (forward is at the end of second buffer) {
reload first buffer;
forward = beginning of first buffer;
}
else
terminate lexical analysis
break;
case for other characters;
}
3 Token Specification
We can say lexical structure is a set of token classes. And thus we must say what set of strings is in a token class–> use regular language.
An alphabet is any finite set of symbols. A string over an alphabet is a finite sequence o symbols drawn from the alphabet. A language is any countable set of strings over some fixed alphabet. meaning function $L$ maps syntax to semantics. meaning is many to one.
operations on language
3.1 Regular Expression
We are able to describe identifiers by giving names to sets of letters and digits and using the language operators union, concatenation, and closure. This process is so useful that a notation called regular expression has come into common use for describing all the language that can be built from these operators applied to the symbols of some alphabet.
Here are the rules that define the regular expressions over some alphabet $\Sigma$ and the languages that those expressions denote.
There are two rules that form the basis:
(1) $\epsilon$ is a regular expression, and $L(\epsilon)$ is ${\epsilon}$, that is, the language whose sole member is empty string.
(2) If $a$ is a symbol in $\Sigma$, then $a$ is a regular expression, and $L(a) = {a}$, that is, the language with one string, of length one, with $a$ in its one position.
3.2 Extensions of Regular Expressions
(1) One or more instances. (r)+
(2) Zero or one instance. r?
(3) Character classes [abc]
4 Recognition of Tokens
Here is our example:
stmt -> if expr then stmt
| if expr then stmt else stmt
| $\epsilon$
expr -> term relop term
| term
term -> id
| number
ws -> (blank | tab | newline)+
5 Finite Automata
The heart of transition is the formalism known as finite automata. Finite automata come in two flavors:
(1) Nondeterministic finite automata(NFA) have no restrictions on the labels of their edges. A symbol can label several edges out of the same state, and $\epsilon$, the empty string, is a possible label.
(2) Deterministic finite automata (DFA) have, for each state, and for each symbol of its input alphabet exactly one edge with that symbol leaving the state.
Both deterministic and nondeterministic finite automata are capable of recognizing the same language. In fact these language are exactly the same language, called the regular language, that regular expressions can describe.
5.1 NFA
NFA consists of : (1) A finite set of states $S$
(2) A set of input symbols $\Sigma$, the input alphabet. We assume that $\epsilon$, which stands for the empty string, is never a member of $\Sigma$
(3) A transition function that gives, for each state, and for each symbol in $\Sigma \cup{\epsilon}$ a set of next states.
(4) A state $s_0$ from $S$ that is distinguished as the start state(or initial state)
(5) A set of states $F$, a subset of $S$, that is distinguished as the accepting states(or final states)
An NFA accepts input string $x$ iff there is some path in the transition graph from the start state to one of the accepting states, such that the symbols along the path spell out $x$.
5.2 DFA
A deterministic finite automata is a special case of an NFA where
(1) There are no moves on input $\epsilon$
(2) For each state $s$ and input symbol $a$, there is exactly one edge out of $s$ labeled $a$.
Every regular expression and every NFA can be converted to a DFA accepting the same language, because it is the DFA that we really implement or simulate when building lexical analyzers.
# Simulate a DFA
s = s_0;
c = nextChar();
while (c != eof) {
s = move(s, c);
c = nextChar();
}
if (s in Final_state) return "yes";
else return "no";
6 Regular Expression -> Automata
6.1 NFA->DFA
The general idea behind the subset construction is that each state of the constructed DFA corresponds to a set of NFA states. After reading input $a_1a_2…a_n$, the DFA is in that state which corresponds to the set of states that NFA can reach, from its start state, following paths labeled $a_1a_2…a_n$.
Before reading the first input symbol, N can be in any of the states of $\epsilon-closure(s_0)$. For induction, suppose N can be in set of states $T$ after reading input string $x$. If it next reads input $a$, then $N$ can immediately go to any of the states in $move(T,a)$. However, after reading $a$, it may also make $\epsilon$ transitions. Thus $N$ could be in any state of $\epsilon-closure(move(T,a))$ after reading input $xa$. How to construct the set of $D$'s states, $Dstates$, and its transition function $Dtran$. Initially, $\epsilon-closure(s_0)$ is the only state in $Dstates$ and it is unmarked.
# construct Dstates and Dtran
while (there is an unmarked state T in Dstates) {
mark T;
for (each input symbol a) {
U = epsilon-closure(move(T, a));
if (U is not in Dstates)
add U as an unmarked state to Dstates;
Dtran[T,a] = U;
}
}
# compute epsilon closure for T
push all states of T onto stack;
initialize epsilon-closure(T) to T;
while (stack is not empty) {
pop t off the stack;
for (each state u with an edge from t to u labeled epsilon) {
if (u is not in epsilon-closure(T)) {
add u to epsilon-closure(T);
push u onto stack;
}
}
}
For line 1 and line 4 we can implement a function addState(s)
. This function pushes state $s$ onto newStates
, sets alreadyOn[s]
to TRUE
, and calls itself recursively on the states in move[s,epsilon]
in order to further the computation of $\epsilon-closure(s)$
addState(s) {
push s onto newStates;
alreadyOn[s] = True;
for (t on move[s, epsilon])
if (!alreadyOn(t))
addState(t);
}
For line 4
for (s on oldStates) {
for (t on move[s,c])
if (!alreadyOn[t])
addState(t);
pop s from oldStates;
}
for (s on newStates) {
pop s from newStates;
push s onto oldStates;
alreadOn[s] = FALSE;
}
6.2 Regular Expression -> NFA
NFA properties: (1) $N(r)$ has at most twice as many states as there are operators and operands in $r$. This bound follows the fact that each step of the algorithm creates at most two new states
(2) $N(r)$ has one start state and one accepting state. The accepting state has no outgoing transitions, and the start has no incoming transitions.
(3) Each state of $N(r)$ other than the accepting state has either one outgoing transition on a symbol in $\Sigma$ or two outgoing transitions, both on $\epsilon$.
7. Design for a Lexical Generator
The program that serves as the lexical analyzer includes a fixed program that simulates an automaton. We need a single automation that will recognize lexemes matching any of the patterns in the program, so we combine all the NFA's into one by introducing a new start state with $\epsilon$-transitions to each of the start states of the NFA's $N_i$.


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Built For Startups
Launching an attractive website quickly and affordably is important for modern startups â€” Stack offers massive value with modern styling.
Learn MoreBuilt For Startups
Launching an attractive website quickly and affordably is important for modern startups â€” Stack offers massive value with modern styling.
Learn MoreCompany established 2012
4 founding members
Stack is built with customization and ease-of-use at its core â€” whether you're a seasoned developer or just starting out, you'll be making attractive sites faster than any traditional HTML template.
Succsessfully funded through
Bray Investments
Stack is built with customization and ease-of-use at its core â€” whether you're a seasoned developer or just starting out, you'll be making attractive sites faster than any traditional HTML template.
Posted profit
second quarter 2015
Stack is built with customization and ease-of-use at its core â€” whether you're a seasoned developer or just starting out, you'll be making attractive sites faster than any traditional HTML template.
Posted profit
second quarter 2015
Stack is built with customization and ease-of-use at its core â€” whether you're a seasoned developer or just starting out, you'll be making attractive sites faster than any traditional HTML template.
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2 Taliban militants killed, detained; weapons caches destroyed in Special Forces raids
by Khaama PressThe Afghan Special Forces killed a Taliban militant, detained another militant and destroyed three caches of weapons in three provinces in the past 24 hours.
The military officials said Saturday the Special Forces destroyed a small cache of weapons during a raid in Farah district of Farah province in the West.
The officials further added the Special Forces detained a Taliban militant and destroyed a cache of weapons during a separate raid in Chimtal district of Balkh,
The Special Forces killed a Taliban militant during a separate raid in Nad’Ali district of Helmand, the officials said, adding that they also destroyed a small cache of weapons during the operation.
The Taliban group has not commented regarding the operations so far.
Author
-
The Khaama Press News Agency is the leading and largest English news service for Afghanistan with over 3 million hits a month. Independent authors/columnists and experts are welcomed to contribute stories, opinions and editorials. Send stories to news@khaama.com.


Alignment helpers allow objects to be easily positioned on a page.
Manipulation of the box model is key to making clean looking sites. These helpers allow a designer to control the size, padding, and border of any element at will.
Header sizes and decoration are given sane defaults requiring a designer to only worry about the header level and color of specific text.
Headings typically have a heavier font-weight than inline text. Size helpers allow incline text to be made larger or smaller without an increase in font-weight.
.tiny
.small
.normal
.large
It is frequently necessary to alter the alignment of text within a container, both to make better use of the space and be visually different than nearby text. The provided text-alignment helpers may be easily applied anywhere in a document.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aliquam et odio tempor, varius velit ac, luctus leo. Sed in ipsum sed augue varius elementum.
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Data serialization utilities.
More...
|
| #define | TupletBytes(_key, _data, _length) ((const Tuplet) { .type = TUPLE_BYTE_ARRAY, .key = _key, .bytes = { .data = _data, .length = _length }}) |
| |
| #define | TupletCString(_key, _cstring) ((const Tuplet) { .type = TUPLE_CSTRING, .key = _key, .cstring = { .data = _cstring, .length = _cstring ? strlen(_cstring) + 1 : 0 }}) |
| |
| #define | TupletInteger(_key, _integer) ((const Tuplet) { .type = IS_SIGNED(_integer) ? TUPLE_INT : TUPLE_UINT, .key = _key, .integer = { .storage = _integer, .width = sizeof(_integer) }}) |
| |
| #define | TupletBytes(_key, _data, _length) ((const Tuplet) { .type = TUPLE_BYTE_ARRAY, .key = _key, .bytes = { .data = _data, .length = _length }}) |
| |
| #define | TupletCString(_key, _cstring) ((const Tuplet) { .type = TUPLE_CSTRING, .key = _key, .cstring = { .data = _cstring, .length = _cstring ? strlen(_cstring) + 1 : 0 }}) |
| |
| #define | TupletInteger(_key, _integer) ((const Tuplet) { .type = IS_SIGNED(_integer) ? TUPLE_INT : TUPLE_UINT, .key = _key, .integer = { .storage = _integer, .width = sizeof(_integer) }}) |
| |
|
|
typedef struct Dictionary | Dictionary |
| |
| typedef struct Tuplet | Tuplet |
| |
| typedef void(* | DictionarySerializeCallback) (const uint8_t *const data, const uint16_t size, void *context) |
| |
| typedef void(* | DictionaryKeyUpdatedCallback) (const uint32_t key, const Tuple *new_tuple, const Tuple *old_tuple, void *context) |
| |
|
typedef struct Dictionary | Dictionary |
| |
| typedef struct Tuplet | Tuplet |
| |
| typedef void(* | DictionarySerializeCallback) (const uint8_t *const data, const uint16_t size, void *context) |
| |
| typedef void(* | DictionaryKeyUpdatedCallback) (const uint32_t key, const Tuple *new_tuple, const Tuple *old_tuple, void *context) |
| |
|
| enum | DictionaryResult {
DICT_OK = 0,
DICT_NOT_ENOUGH_STORAGE = 1 << 1,
DICT_INVALID_ARGS = 1 << 2,
DICT_INTERNAL_INCONSISTENCY = 1 << 3,
DICT_MALLOC_FAILED = 1 << 4,
DICT_OK = 0,
DICT_NOT_ENOUGH_STORAGE = 1 << 1,
DICT_INVALID_ARGS = 1 << 2,
DICT_INTERNAL_INCONSISTENCY = 1 << 3,
DICT_MALLOC_FAILED = 1 << 4
} |
| | Return values for dictionary write/conversion functions. More...
|
| |
| enum | TupleType {
TUPLE_BYTE_ARRAY = 0,
TUPLE_CSTRING = 1,
TUPLE_UINT = 2,
TUPLE_INT = 3,
TUPLE_BYTE_ARRAY = 0,
TUPLE_CSTRING = 1,
TUPLE_UINT = 2,
TUPLE_INT = 3
} |
| | Values representing the type of data that the value field of a Tuple contains. More...
|
| |
| enum | DictionaryResult {
DICT_OK = 0,
DICT_NOT_ENOUGH_STORAGE = 1 << 1,
DICT_INVALID_ARGS = 1 << 2,
DICT_INTERNAL_INCONSISTENCY = 1 << 3,
DICT_MALLOC_FAILED = 1 << 4,
DICT_OK = 0,
DICT_NOT_ENOUGH_STORAGE = 1 << 1,
DICT_INVALID_ARGS = 1 << 2,
DICT_INTERNAL_INCONSISTENCY = 1 << 3,
DICT_MALLOC_FAILED = 1 << 4
} |
| | Return values for dictionary write/conversion functions. More...
|
| |
| enum | TupleType {
TUPLE_BYTE_ARRAY = 0,
TUPLE_CSTRING = 1,
TUPLE_UINT = 2,
TUPLE_INT = 3,
TUPLE_BYTE_ARRAY = 0,
TUPLE_CSTRING = 1,
TUPLE_UINT = 2,
TUPLE_INT = 3
} |
| | Values representing the type of data that the value field of a Tuple contains.
Data residing in different parts of Pebble memory (RAM) may need to be gathered and assembled into a single continuous block for transport over the network via Bluetooth. The process of gathering and assembling this continuous block of data is called serialization.
You use data serialization utilities, like Dictionary, Tuple and Tuplet data structures and accompanying functions, to accomplish this task. No transformations are performed on the actual data, however. These Pebble utilities simply help assemble the data into one continuous buffer according to a specific format.
AppMessage uses these utilities–in particular, Dictionary–to send information between mobile and Pebble watchapps.
Writing key/value pairs
To write two key/value pairs, without using Tuplets, you would do this:
static const uint32_t SOME_DATA_KEY = 0xb00bf00b;
static const uint8_t data[] = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9};
static const uint32_t SOME_STRING_KEY = 0xabbababe;
static const char *string = "Hello World";
const uint8_t key_count = 2;
strlen(string) + 1);
uint8_t buffer[size];
Reading key/value pairs
To iterate over the key/value pairs in the dictionary that was created in the previous example code, you would do this:
while (tuple) {
switch (tuple->key) {
case SOME_DATA_KEY:
foo(tuple->value->data, tuple->length);
break;
case SOME_STRING_KEY:
bar(tuple->value->cstring);
break;
}
}
Tuple and Tuplet data structures
To understand the difference between Tuple and Tuplet data structures: Tuple is the header for a serialized key/value pair, while Tuplet is a helper data structure that references the value you want to serialize. This data structure exists to make the creation of a Dictionary easier to write. Use this mnemonic to remember the difference: TupleT(emplate), the Tuplet being a template to create a Dictionary with Tuple structures.
For example:
};
uint8_t buffer[256];
uint32_t size = sizeof(buffer);
◆ TupletBytes [1/2]
| #define TupletBytes |
( |
|
_key, |
|
|
|
_data, |
|
|
|
_length |
|
) |
| ((const Tuplet) { .type = TUPLE_BYTE_ARRAY, .key = _key, .bytes = { .data = _data, .length = _length }}) |
Macro to create a Tuplet with a byte array value
- Parameters
-
| _key | The key |
| _data | Pointer to the bytes |
| _length | Length of the buffer |
◆ TupletBytes [2/2]
| #define TupletBytes |
( |
|
_key, |
|
|
|
_data, |
|
|
|
_length |
|
) |
| ((const Tuplet) { .type = TUPLE_BYTE_ARRAY, .key = _key, .bytes = { .data = _data, .length = _length }}) |
Macro to create a Tuplet with a byte array value
- Parameters
-
| _key | The key |
| _data | Pointer to the bytes |
| _length | Length of the buffer |
◆ TupletCString [1/2]
| #define TupletCString |
( |
|
_key, |
|
|
|
_cstring |
|
) |
| ((const Tuplet) { .type = TUPLE_CSTRING, .key = _key, .cstring = { .data = _cstring, .length = _cstring ? strlen(_cstring) + 1 : 0 }}) |
Macro to create a Tuplet with a c-string value
- Parameters
-
| _key | The key |
| _cstring | The c-string value |
◆ TupletCString [2/2]
| #define TupletCString |
( |
|
_key, |
|
|
|
_cstring |
|
) |
| ((const Tuplet) { .type = TUPLE_CSTRING, .key = _key, .cstring = { .data = _cstring, .length = _cstring ? strlen(_cstring) + 1 : 0 }}) |
Macro to create a Tuplet with a c-string value
- Parameters
-
| _key | The key |
| _cstring | The c-string value |
◆ TupletInteger [1/2]
| #define TupletInteger |
( |
|
_key, |
|
|
|
_integer |
|
) |
| ((const Tuplet) { .type = IS_SIGNED(_integer) ? TUPLE_INT : TUPLE_UINT, .key = _key, .integer = { .storage = _integer, .width = sizeof(_integer) }}) |
Macro to create a Tuplet with an integer value
- Parameters
-
| _key | The key |
| _integer | The integer value |
◆ TupletInteger [2/2]
| #define TupletInteger |
( |
|
_key, |
|
|
|
_integer |
|
) |
| ((const Tuplet) { .type = IS_SIGNED(_integer) ? TUPLE_INT : TUPLE_UINT, .key = _key, .integer = { .storage = _integer, .width = sizeof(_integer) }}) |
Macro to create a Tuplet with an integer value
- Parameters
-
| _key | The key |
| _integer | The integer value |
◆ DictionaryKeyUpdatedCallback [1/2]
| typedef void(* DictionaryKeyUpdatedCallback) (const uint32_t key, const Tuple *new_tuple, const Tuple *old_tuple, void *context) |
Type of the callback used in dict_merge()
- Parameters
-
| key | The key that is being updated. |
| new_tuple | The new tuple. The tuple points to the actual, updated destination dictionary or NULL_TUPLE in case there was an error (e.g. backing buffer was too small). Therefore the Tuple can be used after the callback returns, until the destination dictionary storage is free'd (by the application itself). |
| old_tuple | The values that will be replaced with new_tuple . The key, value and type will be equal to the previous tuple in the old destination dictionary, however the `old_tuple points to a stack-allocated copy of the old data. |
| context | Pointer to application specific data The storage backing old_tuple can only be used during the callback and will no longer be valid after the callback returns. |
- See also
- dict_merge
◆ DictionaryKeyUpdatedCallback [2/2]
| typedef void(* DictionaryKeyUpdatedCallback) (const uint32_t key, const Tuple *new_tuple, const Tuple *old_tuple, void *context) |
Type of the callback used in dict_merge()
- Parameters
-
| key | The key that is being updated. |
| new_tuple | The new tuple. The tuple points to the actual, updated destination dictionary or NULL_TUPLE in case there was an error (e.g. backing buffer was too small). Therefore the Tuple can be used after the callback returns, until the destination dictionary storage is free'd (by the application itself). |
| old_tuple | The values that will be replaced with new_tuple . The key, value and type will be equal to the previous tuple in the old destination dictionary, however the `old_tuple points to a stack-allocated copy of the old data. |
| context | Pointer to application specific data The storage backing old_tuple can only be used during the callback and will no longer be valid after the callback returns. |
- See also
- dict_merge
◆ DictionarySerializeCallback [1/2]
| typedef void(* DictionarySerializeCallback) (const uint8_t *const data, const uint16_t size, void *context) |
◆ DictionarySerializeCallback [2/2]
| typedef void(* DictionarySerializeCallback) (const uint8_t *const data, const uint16_t size, void *context) |
◆ Tuplet [1/2]
Non-serialized, template data structure for a key/value pair. For strings and byte arrays, it only has a pointer to the actual data. For integers, it provides storage for integers up to 32-bits wide. The Tuplet data structure is useful when creating dictionaries from values that are already stored in arbitrary buffers. See also Tuple, with is the header of a serialized key/value pair.
◆ Tuplet [2/2]
Non-serialized, template data structure for a key/value pair. For strings and byte arrays, it only has a pointer to the actual data. For integers, it provides storage for integers up to 32-bits wide. The Tuplet data structure is useful when creating dictionaries from values that are already stored in arbitrary buffers. See also Tuple, with is the header of a serialized key/value pair.
◆ DictionaryResult [1/2]
Return values for dictionary write/conversion functions.
| Enumerator |
|---|
| DICT_OK | The operation returned successfully.
|
| DICT_NOT_ENOUGH_STORAGE | There was not enough backing storage to complete the operation.
|
| DICT_INVALID_ARGS | One or more arguments were invalid or uninitialized.
|
| DICT_INTERNAL_INCONSISTENCY | The lengths and/or count of the dictionary its tuples are inconsistent.
|
| DICT_MALLOC_FAILED | A requested operation required additional memory to be allocated, but the allocation failed, likely due to insufficient remaining heap memory.
|
| DICT_OK | The operation returned successfully.
|
| DICT_NOT_ENOUGH_STORAGE | There was not enough backing storage to complete the operation.
|
| DICT_INVALID_ARGS | One or more arguments were invalid or uninitialized.
|
| DICT_INTERNAL_INCONSISTENCY | The lengths and/or count of the dictionary its tuples are inconsistent.
|
| DICT_MALLOC_FAILED | A requested operation required additional memory to be allocated, but the allocation failed, likely due to insufficient remaining heap memory.
|
◆ DictionaryResult [2/2]
Return values for dictionary write/conversion functions.
| Enumerator |
|---|
| DICT_OK | The operation returned successfully.
|
| DICT_NOT_ENOUGH_STORAGE | There was not enough backing storage to complete the operation.
|
| DICT_INVALID_ARGS | One or more arguments were invalid or uninitialized.
|
| DICT_INTERNAL_INCONSISTENCY | The lengths and/or count of the dictionary its tuples are inconsistent.
|
| DICT_MALLOC_FAILED | A requested operation required additional memory to be allocated, but the allocation failed, likely due to insufficient remaining heap memory.
|
| DICT_OK | The operation returned successfully.
|
| DICT_NOT_ENOUGH_STORAGE | There was not enough backing storage to complete the operation.
|
| DICT_INVALID_ARGS | One or more arguments were invalid or uninitialized.
|
| DICT_INTERNAL_INCONSISTENCY | The lengths and/or count of the dictionary its tuples are inconsistent.
|
| DICT_MALLOC_FAILED | A requested operation required additional memory to be allocated, but the allocation failed, likely due to insufficient remaining heap memory.
|
◆ TupleType [1/2]
Values representing the type of data that the value
field of a Tuple contains.
| Enumerator |
|---|
| TUPLE_BYTE_ARRAY | The value is an array of bytes.
|
| TUPLE_CSTRING | The value is a zero-terminated, UTF-8 C-string.
|
| TUPLE_UINT | The value is an unsigned integer. The tuple's .length field is used to determine the size of the integer (1, 2, or 4 bytes).
|
| TUPLE_INT | The value is a signed integer. The tuple's .length field is used to determine the size of the integer (1, 2, or 4 bytes).
|
| TUPLE_BYTE_ARRAY | The value is an array of bytes.
|
| TUPLE_CSTRING | The value is a zero-terminated, UTF-8 C-string.
|
| TUPLE_UINT | The value is an unsigned integer. The tuple's .length field is used to determine the size of the integer (1, 2, or 4 bytes).
|
| TUPLE_INT | The value is a signed integer. The tuple's .length field is used to determine the size of the integer (1, 2, or 4 bytes).
|
◆ TupleType [2/2]
Values representing the type of data that the value
field of a Tuple contains.
| Enumerator |
|---|
| TUPLE_BYTE_ARRAY | The value is an array of bytes.
|
| TUPLE_CSTRING | The value is a zero-terminated, UTF-8 C-string.
|
| TUPLE_UINT | The value is an unsigned integer. The tuple's .length field is used to determine the size of the integer (1, 2, or 4 bytes).
|
| TUPLE_INT | The value is a signed integer. The tuple's .length field is used to determine the size of the integer (1, 2, or 4 bytes).
|
| TUPLE_BYTE_ARRAY | The value is an array of bytes.
|
| TUPLE_CSTRING | The value is a zero-terminated, UTF-8 C-string.
|
| TUPLE_UINT | The value is an unsigned integer. The tuple's .length field is used to determine the size of the integer (1, 2, or 4 bytes).
|
| TUPLE_INT | The value is a signed integer. The tuple's .length field is used to determine the size of the integer (1, 2, or 4 bytes).
|
◆ dict_calc_buffer_size()
| uint32_t dict_calc_buffer_size |
( |
const uint8_t |
tuple_count, |
|
|
|
... |
|
) |
| |
Calculates the number of bytes that a dictionary will occupy, given one or more value lengths that need to be stored in the dictionary.
- Note
- The formula to calculate the size of a Dictionary in bytes is:
1 + (n * 7) + D1 + ... + Dn
Where n
is the number of Tuples in the Dictionary and Dx
are the sizes of the values in the Tuples. The size of the Dictionary header is 1 byte. The size of the header for each Tuple is 7 bytes.
- Parameters
-
| tuple_count | The total number of key/value pairs in the dictionary. |
| ... | The sizes of each of the values that need to be stored in the dictionary. |
- Returns
- The total number of bytes of storage needed.
◆ dict_calc_buffer_size_from_tuplets()
| uint32_t dict_calc_buffer_size_from_tuplets |
( |
const Tuplet *const |
tuplets, |
|
|
const uint8_t |
tuplets_count |
|
) |
| |
Calculates the number of bytes that a dictionary will occupy, given one or more Tuplets that need to be stored in the dictionary.
- Note
- See dict_calc_buffer_size() for the formula for the calculation.
- Parameters
-
| tuplets | An array of Tuplets that need to be stored in the dictionary. |
| tuplets_count | The total number of Tuplets that follow. |
- Returns
- The total number of bytes of storage needed.
- See also
- Tuplet
◆ dict_find()
Tries to find a Tuple with specified key in a dictionary
- Parameters
-
| iter | Iterator to the dictionary to search in. |
| key | The key for which to find a Tuple |
- Returns
- Pointer to a found Tuple, or NULL if there was no Tuple with the specified key.
◆ dict_merge()
Merges entries from another "source" dictionary into a "destination" dictionary. All Tuples from the source are written into the destination dictionary, while updating the exsting Tuples with matching keys.
- Parameters
-
| dest | The destination dictionary to update |
| [in,out] | dest_max_size_in_out | In: the maximum size of buffer backing dest . Out: the final size of the updated dictionary. |
| source | The source dictionary of which its Tuples will be used to update dest. |
| update_existing_keys_only | Specify True if only the existing keys in dest should be updated. |
| key_callback | The callback that will be called for each Tuple in the merged destination dictionary. |
| context | Pointer to app specific data that will get passed in when update_key_callback is called. |
- Returns
- DICT_OK, DICT_INVALID_ARGS, DICT_NOT_ENOUGH_STORAGE
◆ dict_read_begin_from_buffer()
| Tuple * dict_read_begin_from_buffer |
( |
DictionaryIterator * |
iter, |
|
|
const uint8_t *const |
buffer, |
|
|
const uint16_t |
size |
|
) |
| |
Initializes the dictionary iterator with a given buffer and size, in preparation of reading key/value tuples.
- Parameters
-
| iter | The dictionary iterator |
| buffer | The storage of the dictionary |
| size | The storage size of the dictionary |
- Returns
- The first tuple in the dictionary, or NULL in case the dictionary was empty or if there was a parsing error.
◆ dict_read_first()
Resets the iterator back to the same state as a call to dict_read_begin_from_buffer() would do.
- Parameters
-
| iter | The dictionary iterator |
- Returns
- The first tuple in the dictionary, or NULL in case the dictionary was empty or if there was a parsing error.
◆ dict_read_next()
Progresses the iterator to the next key/value pair.
- Parameters
-
| iter | The dictionary iterator |
- Returns
- The next tuple in the dictionary, or NULL in case the end has been reached or if there was a parsing error.
◆ dict_serialize_tuplets()
Utility function that takes a list of Tuplets from which a dictionary will be serialized, ready to transmit or store.
- Note
- The callback will be called before the function returns, so the data that that
context
points to, can be stack allocated.
- Parameters
-
| callback | The callback that will be called with the serialized data of the generated dictionary. |
| context | Pointer to any application specific data that gets passed into the callback. |
| tuplets | An array of Tuplets that need to be serialized into the dictionary. |
| tuplets_count | The number of tuplets that follow. |
- Returns
- DICT_OK, DICT_NOT_ENOUGH_STORAGE or DICT_INVALID_ARGS
◆ dict_serialize_tuplets_to_buffer()
| DictionaryResult dict_serialize_tuplets_to_buffer |
( |
const Tuplet *const |
tuplets, |
|
|
const uint8_t |
tuplets_count, |
|
|
uint8_t * |
buffer, |
|
|
uint32_t * |
size_in_out |
|
) |
| |
Utility function that takes an array of Tuplets and serializes them into a dictionary with a given buffer and size.
- Parameters
-
| tuplets | The array of tuplets |
| tuplets_count | The number of tuplets in the array |
| buffer | The buffer in which to write the serialized dictionary |
| [in] | size_in_out | The available buffer size in bytes |
| [out] | size_in_out | The number of bytes written |
- Returns
- DICT_OK, DICT_NOT_ENOUGH_STORAGE or DICT_INVALID_ARGS
◆ dict_serialize_tuplets_to_buffer_with_iter()
Serializes an array of Tuplets into a dictionary with a given buffer and size.
- Parameters
-
| iter | The dictionary iterator |
| tuplets | The array of tuplets |
| tuplets_count | The number of tuplets in the array |
| buffer | The buffer in which to write the serialized dictionary |
| [in] | size_in_out | The available buffer size in bytes |
| [out] | size_in_out | The number of bytes written |
- Returns
- DICT_OK, DICT_NOT_ENOUGH_STORAGE or DICT_INVALID_ARGS
◆ dict_size()
Calculates the size of data that has been written to the dictionary. AKA, the "dictionary size". Note that this is most likely different than the size of the backing storage/backing buffer.
- Parameters
-
| iter | The dictionary iterator |
- Returns
- The total number of bytes which have been written to the dictionary.
◆ dict_write_begin()
◆ dict_write_cstring()
Adds a key with a C string value pair to the dictionary.
- Parameters
-
| iter | The dictionary iterator |
| key | The key |
| cstring | Pointer to the zero-terminated C string |
- Returns
- DICT_OK, DICT_NOT_ENOUGH_STORAGE or DICT_INVALID_ARGS
- Note
- The string will be copied into the backing storage of the dictionary.
-
There is no checking for duplicate keys.
◆ dict_write_data()
Adds a key with a byte array value pair to the dictionary.
- Parameters
-
| iter | The dictionary iterator |
| key | The key |
| data | Pointer to the byte array |
| size | Length of the byte array |
- Returns
- DICT_OK, DICT_NOT_ENOUGH_STORAGE or DICT_INVALID_ARGS
- Note
- The data will be copied into the backing storage of the dictionary.
-
There is no checking for duplicate keys.
◆ dict_write_end()
End a series of writing operations to a dictionary. This must be called before reading back from the dictionary.
- Parameters
-
| iter | The dictionary iterator |
- Returns
- The size in bytes of the finalized dictionary, or 0 if the parameters were invalid.
◆ dict_write_int()
Adds a key with an integer value pair to the dictionary.
- Parameters
-
| iter | The dictionary iterator |
| key | The key |
| integer | Pointer to the integer value |
| width_bytes | The width of the integer value |
| is_signed | Whether the integer's type is signed or not |
- Returns
- DICT_OK, DICT_NOT_ENOUGH_STORAGE or DICT_INVALID_ARGS
- Note
- There is no checking for duplicate keys. dict_write_int() is only for serializing a single integer. width_bytes can only be 1, 2, or 4.
◆ dict_write_tuplet()
◆ dict_write_uint8()
Adds a key with an unsigned, 8-bit integer value pair to the dictionary.
- Parameters
-
| iter | The dictionary iterator |
| key | The key |
| value | The unsigned, 8-bit integer value |
- Returns
- DICT_OK, DICT_NOT_ENOUGH_STORAGE or DICT_INVALID_ARGS
- Note
- There is no checking for duplicate keys.
-
There are counterpart functions for different signedness and widths,
dict_write_uint16()
, dict_write_uint32()
, dict_write_int8()
, dict_write_int16()
and dict_write_int32()
. The documentation is not repeated for brevity's sake.


Justice Gulzar to replace Khosa as new CJP
by Staff ReportISLAMABAD: The Ministry of Law and Justice on Friday forwarded a summary to the Prime Minister’s Office for the appointment of Justice Gulzar Ahmed as the new chief justice of Pakistan (CJP).
Incumbent Chief Justice Asif Saeed Khosa, who became the country’s top judge in January last year, is retiring on December 20 this year.
Following his retirement Justice Gulzar will take oath as the 27th CJP and serve until February 1st, 2022.
Born in Karachi on February 2, 1957 Justice Gulzar. after completing his education in law, pursued his career as a lawyer and initially served at the Sindh High Court (SHC) in 1986. Subsequently, in 1988 he elevated to the Supreme Court of Pakistan as advocate.
Justice Gulzar was sworn in as SHC judge on August 27, 2002 and became the apex court’s judge on November 16, 2011.
He was part of the bench which heard the famous Panama case and disqualified the ousted prime minister Nawaz Sharif in a historic judgement.


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Current Player: {{ currentPlayer }} Player {{ currentPlayer }} won! Draw This space is occupied choose empty space


Scotty DeMoney got that Money! Check out his face.
Scotty DeMoney
Millionaire
<EMAIL_ADDRESS>Scotty's home page:
scottygotdemoney.xyz


Far far away, behind the word mountains, far from the countries Vokalia and Consonantia, there live the blind texts. Separated they live in Bookmarksgrove right at the coast of the Semantics, a large language ocean. A small river named Duden flows by their place and supplies it with the necessary regelialia. It is a paradisematic country, in which roasted parts of sentences fly into your mouth.
A small river named Duden flows by their place and supplies it with the necessary regelialia. It is a paradisematic country, in which roasted parts of sentences fly into your mouth.
1. When she reached the first hills of the Italic Mountains, she had a last view back on the skyline of her hometown Bookmarksgrove, the headline of Alphabet Village and the subline of her own road, the Line Lane. Pityful a rethoric question ran over her cheek, then she continued her way.
- When she reached the first hills of the Italic Mountains, she had a last view back on the skyline of her hometown Bookmarksgrove
- It is a paradisematic country, in which roasted parts of sentences fly into your mouth.
- When she reached the first hills of the Italic Mountains, she had a last view back on the skyline of her hometown Bookmarksgrove
- It is a paradisematic country, in which roasted parts of sentences fly into your mouth.


LexicalAnalyzer
public protocol LexicalAnalyzer : AnyObject
The job of an implementation of this protocol is two fold
- Manage the state of the
Scanner
to provide n lookahead capability to the surrounding rules - To provide a layer of abstraction between consumers of scanning behaviour and the scanner itself. This allows the scanner to be as simple as possible
It used heavily during Rule
evaluation. Typically a rule will start by mark()
ing it’s possition (remembering the positiong of the Scanner
at
the start of rule evaluation. During Rule
evaluation rules will result (eventually) in calls to the various scan
methods which will advance
the Scanner. Finally, the rule will either be satisfied and proceed()->LexicalContext
will be called, or fail and rewind()
will be called returning
the Scanner
to its state before mark()
was called.
-
Creates a new instance of
Lexer
for the suppliedString
.Declaration
Swift
init(source: String)
Parameters
source
The
String
to perform the lexical analysis on -
The character currently being evaluated
Declaration
Swift
var current: String { get }
-
The depth of the look-ahead stack
Declaration
Swift
var depth: Int { get }
-
: Marks the current position. This must be followed by a matching rewind() or proceed()
Declaration
Swift
func mark()
-
Marks the current location and signifies that the scanning is actually skipping
Declaration
Swift
func mark(skipping: Bool)
-
: Discards the current mark, rewinding the scanner to that position
Declaration
Swift
func rewind()
-
: Discards the current mark, but leaving the scanner at it’s current location
Declaration
Swift
func proceed() -> LexicalContext
-
Should return
true
if the end of the sourceString
has been reachedDeclaration
Swift
var endOfInput: Bool { get }
-
Scan until the specified terminal is reached in the source
String
. If the end of theString
is reached before the suppliedString
is matched an error should be thrown. If the terminal is matched, the scanning position should be at the end of that match.See also
scanUpTo(terminal:String)
Declaration
Swift
func scan(terminal: String) throws
Parameters
terminal
A string to scan for
-
Scan until one of the characters in the supplied
CharacterSet
is found. If the end of the source is reached before a character from the set is found anError
should be thrown. The scanner position should be directly after the matched character.Declaration
Swift
func scan(oneOf: CharacterSet) throws
Parameters
oneOf
A
CharacterSet
to scan for -
Scan the supplied regular expression (
NSRegularExpression
). If not found anError
should be the thrown. The scanner position should be directly after the matched pattern.Declaration
Swift
func scan(regularExpression: NSRegularExpression) throws
Parameters
regularExpression
The
NSRegularExpression
to scan for -
Scan up to (that is, the position of the scanner should be at the start of the match, not after it) the supplied
String
. If the terminal is not found anError
should be thrown. The scanner position should be at the first character of the matchedterminal
.See also
scan(terminal:String)
Declaration
Swift
func scanUpTo(terminal: String) throws
Parameters
terminal
A string to scan for
-
Scan up to one of the characters in the supplied
CharacterSet
is found. If the end of the source is reached before a character from the set is found anError
should be thrown. The scanner position should be directly at the matched character.Declaration
Swift
func scanUpTo(oneOf terminal: CharacterSet) throws
Parameters
oneOf
A
CharacterSet
to scan for -
Advances the scanner one character. If the end of the source
String
has already been reached aError
should be thrown.Declaration
Swift
func scanNext() throws
-
Should return the
String
from thesource
representing the supplied range.Declaration
Swift
subscript(range: Range<String.UnicodeScalarView.Index>) -> String { get }
-
Should return the
String
being analyzedDeclaration
Swift
var source: String { get }
-
Should return the integer offset of the current scanning position in charactes
Declaration
Swift
var position: Int { get }
-
Should return the
String.UnicodeScalarView.Index
of the current scanning position in the supplied sourceString
Declaration
Swift
var index: String.UnicodeScalarView.Index { get set }


Piers Morgan hits back at Ant and Dec after they make dig at him on I'm A Celebrity
He wasn't happy!
by Rebecca CarterTV's Piers Morgan has raged at Ant McPartlin and Dec Donnelly for taking a swipe at him on last night's I'm A Celebrity launch.
The presenting duo returned to our screens on Sunday for the new series of the show as 10 new celebrities entered the Aussie jungle.
And they couldn't resist poking fun at Piers when they introduced his Good Morning Britain co-star Kate Garraway as a campmate.
Read more: I'm A Celebrity fans divided over Caitlyn and Kate doing the bushtucker trial
Dec told viewers that Kate would be facing the "most harrowing ordeal of her entire life".
Ant then quipped: "But before she goes back to work with Piers Morgan, she's got three weeks in the jungle!"
Speaking on Monday morning's Good Morning Britain, Piers took aim at the duo.
He said: "It took Ant and Dec about three seconds (to mention me)."
Susanna first said: "They couldn't afford you so they mention you at every opportunity."
Putting on a Geordie accent, Piers said: "It's so good to have him [Ant] back."
Susanna added: "Funny thing is, you rarely work with Kate Garraway," to which Piers continued: "I've literally worked with Kate Garraway three times in four years and one of those was a mistake because I didn't realise it was a Bank Holiday."
Last night saw Kate take on the terrifying challenge of walking across a 300ft high plank.
As she stepped onto the plank and the winds picked up, Kate said: "I don’t know if I can do it."

Read more: I'm A Celebrity viewers stunned as Ant McPartlin unveils new arm tattoos
Despite her efforts, unfortunately, Kate didn't win the challenge and joined Andrew, Caitlyn Jenner, James Haskell, Jacqueline Jossa and Ian Wright in the less-than-luxury camp.
Meanwhile, Adele Roberts, Nadine Coyle, Myles Stephenson and Roman Kemp were treated to Croc Creek.
Kate will also face tonight's Bushtucker Trial, Bugged Off!, with American TV star Caitlyn.
Leave us a comment on our Facebook page @EntertainmentDailyFix and let us know what you think of this story.


The New Dawn of HarrisJT
In this article, I will discuss what this site is and how it was/is made. Strap on in…
Where am I?
I wanted a website to house my professional portfolio and profile as well as any writing I do. I could make (and hope to) websites in all different layouts using any assortment of colors and fancy animations but committing to one design that shows creativity and usability were of primary importance to me. So here it is, a portfolio, resume, blog, playground extravaganza.
 What other medium allows that?
What is harrisjt.com made from?
I hope you like vanilla flavoring because that’s all I got left. No external resources mean that no single character is meaningless here and that helps me sleep at night.
Not that I dislike libraries, there is always a use case and need for a single dependency to handle security and edge cases. In fact, the throttle function that I use so that scrolling on the homepage doesn’t trigger 1 million events is from the lodash utility library.
I took the throttle code which is just a wrapper for the debounce function and combined the two removing unnecessary code along the way into a single function that works better than any other throttlers I could find.
Two topics I learned from reading that I wasn’t using to even near the full capabilities were Google Analytics and Service Workers.
I read a fantastic article by the fantastic Philip Walton about analytics that made me revisit my tracking data and decide to start from anew. This essentially gives you much more variables to play around with in tracking and allows you to load the script in quicker and ignore “junk” data. Service workers I had only played around with in experiments but in my current script on this page, I have near complete control of caching and the added benefit of offline support!
The complete code for this website is available to anyone with internet access. I have always made my portfolio public because this serves multiple purposes:
- This site is a public display of myself and making the source code fully accessible is an extension of that
- The idea that at any time someone can comb through my code keeps me fully alert
- I’m proud of where this site is at!
Plus I love github so any practice I get using it is well received!
Planning
My planning style is surely not to be recast at any enterprise level but it certainly has improved over time. I use trello boards for all my planning which I began doing when I was a project manager for the FeelTheBern.org volunteer group. I have long believed that writing down every idea that pops up will provide me a great well when I lack nourishment and have seen great benefits from doing so. Trello allows me to organize ideas relating to a specific project and track them from my queue to in progress all the way through to the release version.
Most of the designing I do is in my head but when I need to organize something complicated or validate myself I draw it out on paper. When first launching into a project I will also do some preliminary half-boxey half-detailed photoshop versions so I can get a rough idea for colors and have something I end up referring to in order to make sure I haven't lost sight of the original goals. I realize this is where I need to make an improvement but a part of my style is due to my lack of experience or work on any larger projects that require the stuff in my head to be “commentable” on by others. I do like working this way but am not at all averse to extensive planning and have been proven wrong many times given user and team feedback. A mistake I will never make again.
Backend
I have always trusted DigitalOcean as my hosting service and since they had me hooked from when I still had student credit I am still running with them today. I like them because they forced me to learn the hard way to getting a web server running and securing it. For the purposes of this site, I only use a small Linux Ubuntu 16.04 server. Namecheap is another resource that I had early student credit on but continued using due to their easy purchasing and setup system. I have never had a single problem with Namecheap and you will find them recommended, along with DigitalOcean, across the web.
I use Nginx as my web server engine because they are small and fast with all the support you could ever want. I start all my web servers off with the HTML5 Boilerplate server config because it is open source and being constantly improved. From there I installed an auto-renewing LetsEncrypt certificate for https and http/2 support and ensured that my web server security met the latest standards.
What next?
I will continue changing this site for a long time and I imagine it will look a whole lot different year after year. Some of my plans include better animations for all my elements and logos, a better “experiments” page, and a blog searching/tagging system.
You can follow me on Twitter where I plan to tweet more regularly and keep an eye on the GitHub project.
Thank you for taking the time to read this,
Harris


Atrayee Basu
Hostel 1
National Brain Research Center (NBRC)
Manesar, Haryana, India 122052
I am a final-year integrated PhD student and Senior Research Fellow at National Brain Research Center (NBRC), Manesar, India, supervised by Dr. Anindya Ghosh Roy. My primary research interests involve investigating whether axonal regeneration following injury in adulthood leads to functional recovery in Caenorhabditis elegans. In my PhD thesis I have also addressed the molecular and cellular basis of functional recovery, using mechanosensory neuron involving touch sensation as the model. Specifically, we showed that a self-fusion mechanism between the neuron’s severed proximal and distal part during regeneration leads to a quick functional repair and this phenomenon is regulated by a highly conserved miRNA let-7.
In another line of research I investigate the effect of DAF-16/ FOXO transcription factor in Insulin/IIS signalling, which regulates the guidance of the regrowing axon towards its proper postsynaptic target in both cell-autonomous and non-autonomous manner.
I am also highly interested to further explore neural regeneration in higher models involving vertebrates such as mouse. You can find my detailed CV here. I am a recipient of the Inspiring Science Award, 2019 from TNQ, India. My research has been featured in The Hindu, one of the leading English newspapers in India. Other than research, I am a professional Indian Classical dancer (Bharatnatyam), and love painting and composing music.
selected publications
- PNASLet-7 miRNA Controls CED-7 Homotypic Adhesion and EFF-1–Mediated Axonal Self-Fusion to Restore Touch Sensation Following InjuryProceedings of the National Academy of Sciences 2017


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Duis eu mi velit. Nam non lorem ac ligula venenatis interdum. Nulla luctus, ipsum consequat rhoncus molestie, mauris leo semper felis, id ultrices purus arcu id quam. Pellentesque nec risus eget justo egestas


Samos is a high, pine covered island and this port of entry, Pithagorion, looks across to the Turkish mainland. It is a busy tourist resort.
For full details on clearing into our out of Greece see Greek Formalities.
Clearing in here should take about an hour walking between the three offices (Customs, Police and Harbour Master).
Last updated June 2015.
Moor bows/stern-to the West quay in the inner harbour. The bottom is sand and mud with good holding. Beware of the shallows to port (marked by an un-lit beacon) at the entrance to the inner harbour. With the Meltemi blowing, strong gusts will be experienced in the approaches.
The shelter from NW'ly winds is excellent.
The yacht marina here opened in 2009, located just to the east of the outer harbour. Facilities however are basic and cruisers who visited in 2014 have posted useful comments below.
It is a 15 minutes walk from the town.
Last updated November 2014.


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java.lang.Object coins.alias.AliasAnalHir1 coins.alias.alias2.AliasAnalHir2
Alias analysis level 2 implementation.
Alias analysis level 2 is a flow-sensitive intraprocedural analysis.
This class drives the alias analysis and also implements AliasAnal interface.
Flow sensitive analysis is performed only for structured subprograms, which don't contain unstructed jumps (jumps that do not correpond to C's break/continue). If the subprogram is unstructured, the analysis is reverted to that of level 1 (flow-insensitive analysis).
Two modes (Optimistic and Pessimistic), or options, for the analysis are available, each of which uses different assumptions about aliasing.
Handling of source languages other than C is not supported in this version.
| Field Summary | |
protected static int |
AREA_INCLUDES
|
protected static int |
AREA_OVERLAPS
|
(package private) java.util.Map |
fElemToMask
|
(package private) TagVector2 |
fExternOpt
TagVector2 that corresponds to the area
visible from the outside of the current subprogram. |
(package private) AliasFactory2 |
fFactory
Factory object used to create other objects. |
(package private) TagVector2 |
fGlobals
TagVector2 that corresponds to global variables. |
(package private) java.util.Map |
fHIRToLoc
Map that maps HIR nodes to TagVectors. |
(package private) boolean |
fIsOptimistic
Alias analysis option. |
(package private) TagVector2[] |
fLocalRootVects
|
(package private) java.util.Map |
fmallocToLoc
|
(package private) TagVector2[] |
fPointsTo
The points-to graph represented as an array of TagVector2 s. |
protected java.util.Set |
fPredefined
Set of predefined functions. |
(package private) java.util.Map |
fSubscriptToMask
|
(package private) int |
fTagBitCount
Number of bit-allocated memory objects. |
protected AliasUtil |
fUtil
AliasUtil object used to access utility methods. |
(package private) java.util.Map |
fVarToLoc
|
HirRoot |
hirRoot
The HirRoot object shared by every module in
the program. |
IoRoot |
ioRoot
The IoRoot object shared by every module in
the program. |
protected static int |
MAY_ALIAS
|
protected static int |
MUST_ALIAS
|
protected static int |
NOT_ALIAS
|
protected static java.lang.String |
PREDEFINED
|
| Fields inherited from class coins.alias.AliasAnalHir1 |
fDbgLevel |
| Fields inherited from interface coins.alias.AliasAnal |
CATEGORY_NAME |
| Constructor Summary | |
AliasAnalHir2(boolean pIsOptimistic,
HirRoot pHirRoot)
Creats a new instance of AliasAnalHir2
that performs alias analysis with the specified
assumptions (pIsOptimistic ) about aliasing. |
|
AliasAnalHir2(HirRoot pHirRoot)
Creates a new instance of AliasAnalHir2 that performs
alias analysis based on some set of assumptions about aliasing. |
| Method Summary | |
protected int |
areAliased(Exp pExp,
Exp pExp0)
Returns one of the codes (MUST_ALIAS, MAY_ALIAS, NOT_ALIAS). |
AliasGroup |
getAliasGroupFor(Exp pExp)
Returns the set of lvalue nodes the specified argument may be aliased to. |
boolean |
isLvalue(Exp pExp)
Returns true if the specified argument is lvalue. |
(package private) boolean |
jumpCheck(SubpDefinition pSubpDef)
|
boolean |
mayAlias(Exp pExp,
Exp pExp0)
Returns true if the two arguments may refer to the overlapping area in memory. |
boolean |
mustAlias(Exp pExp,
Exp pExp0)
Returns true if the two arguments definitely refer to the overlapping area in memory. |
(package private) void |
prepare(SubpDefinition pSubpDef)
Instantiates TagVector2s and assigns TagVector2 objects to Var, malloced area, and external area. |
void |
prepareForAliasAnalHir(SubpDefinition pSubpDef)
Performs alias analysis for the given SubpDefinition argument so that may/mustAlias methods for nodes contained in the SubpDefinition are ready. |
void |
printAliasPairs(SubpDefinition pSubpDef)
Prints out alias pairs in IoRoot.printOut object. |
| Methods inherited from class coins.alias.AliasAnalHir1 |
dbg, printAliasPairsDetail |
| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
protected static final int AREA_INCLUDES
protected static final int AREA_OVERLAPS
protected static final int MUST_ALIAS
protected static final int NOT_ALIAS
protected static final int MAY_ALIAS
protected static final java.lang.String PREDEFINED
protected java.util.Set fPredefined
java.util.Map fHIRToLoc
TagVector2[] fLocalRootVects
int fTagBitCount
TagVector2
.
TagVector2[] fPointsTo
TagVector2
s.
TagVector2 fGlobals
TagVector2
that corresponds to global variables.
TagVector2 fExternOpt
TagVector2
that corresponds to the area
visible from the outside of the current subprogram.
public final HirRoot hirRoot
HirRoot
object shared by every module in
the program.
public final IoRoot ioRoot
IoRoot
object shared by every module in
the program.
final boolean fIsOptimistic
AliasAnalHir2(boolean, HirRoot)
final AliasFactory2 fFactory
protected final AliasUtil fUtil
java.util.Map fVarToLoc
java.util.Map fSubscriptToMask
java.util.Map fElemToMask
java.util.Map fmallocToLoc
| Constructor Detail |
public AliasAnalHir2(HirRoot pHirRoot)
AliasAnalHir2
that performs
alias analysis based on some set of assumptions about aliasing.
Two sets of assumptions (Pessimistic and Optimistic) are
available, and which one to use is determined from
the command line, and defaults to Pessimistic.
pHirRoot
- the HirRoot
object shared
by every module in the program.AliasAnalHir2(boolean, HirRoot)
public AliasAnalHir2(boolean pIsOptimistic, HirRoot pHirRoot)
AliasAnalHir2
that performs alias analysis with the specified
assumptions (pIsOptimistic
) about aliasing.
The difference between optimistic and pessimistic
assumptions are:
| Method Detail |
public void prepareForAliasAnalHir(SubpDefinition pSubpDef)
Performs alias analysis for the given SubpDefinition argument so that may/mustAlias methods for nodes contained in the SubpDefinition are ready.
This method may be called only once in the lifetime of this analysis object; for analyses of different SubpDefinitions, the AliasAnalHir2 object has to be newly created.
prepareForAliasAnalHir
in interface AliasAnal
prepareForAliasAnalHir
in class AliasAnalHir1
pSubpDef
- the SubpDefinition
instance nodes contained in which are to be analyzed
for aliasing.boolean jumpCheck(SubpDefinition pSubpDef)
void prepare(SubpDefinition pSubpDef)
pSubpDef
- SubpDefinition
instance
to analyze.protected int areAliased(Exp pExp, Exp pExp0)
areAliased
in class AliasAnalHir1
public AliasGroup getAliasGroupFor(Exp pExp)
AliasGroup
object for different
argument (pExp
) is distinct from one another,
so it can be safely modified without affecting others.
getAliasGroupFor
in interface AliasAnal
getAliasGroupFor
in class AliasAnalHir1
pExp
- the lvalue node to check for aliasing.
public void printAliasPairs(SubpDefinition pSubpDef)
IoRoot.printOut
object.
For debugging.
printAliasPairs
in interface AliasAnal
printAliasPairs
in class AliasAnalHir1
pSubpDef
- the SubpDefinition
object
aliasing relation between nodes contained in which are to
be printed.public boolean mayAlias(Exp pExp, Exp pExp0)
Returns true if the two arguments may refer to the overlapping area in memory. A CONTENTS node with uninitialized pointer value operand (undefined behavior in C) does not represent an object that inhabits the memory space, so it is not aliased even to itself.
This method has to be called after the prepareForAliasAnalHir method has been called.
mayAlias
in interface AliasAnal
mayAlias
in class AliasAnalHir1
java.lang.IllegalArgumentException
- if either of the
arguments is not lvalue.public boolean mustAlias(Exp pExp, Exp pExp0)
Returns true if the two arguments definitely refer to the overlapping area in memory.
This method has to be called after the prepareForAliasAnalHir method has been called.
mustAlias
in interface AliasAnal
mustAlias
in class AliasAnalHir1
java.lang.IllegalArgumentException
- if either of the
arguments is not lvalue.public boolean isLvalue(Exp pExp)
Returns true if the specified argument is lvalue. As is the case for the query methods (mayAlias etc.) that is specified in the AliasAnal interface, this method also has to be called after the prepareForAliasAnalHir method for the corresponding SubpDefinition object has been called.
This method has to be called after the prepareForAliasAnalHir method has been called.
isLvalue
in interface AliasAnal
isLvalue
in class AliasAnalHir1
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Leo Salemann
Agile Coach, Technical Leader, Lifelong Learner
Helping cat-herds become wolf-packs
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“Working” from Home
Telecommuting has been all the buzz this past week, with Yahoo eliminating work from home options for their fulltime telecommuters (but you can still wait for the cable guy!) and Best Buy following their lead soon after. The articles covering these changes are quite interesting in their slant.
From Mashable, Best Buy’s announcement was spun this way:
Best Buy announced Monday that it has eliminated a flexible work program introduced in 2005 that gave corporate employees the freedom to work when and where they chose. Through the program, known as Results Only Work Environment, employees were assessed based solely on the quality of work they got done rather than whether or not they showed up to the office. Now, these employees will be expected to work a standard 40-hour workweek and come into the office “as much as possible.”
So let me get this straight. The quality of work you do is less important to Best Buy than where you do it. Seriously.
And in the New York Times article on Yahoo’s shift:
Parking lots and entire floors of cubicles were nearly empty because some employees were working as little as possible and leaving early.
Then there were the 200 or so people who had work-at-home arrangements. Although they collected Yahoo paychecks, some did little work for the company and a few had even begun their own start-ups on the side.
Does this strike anyone else as odd? When you have employees who are not getting work done, you fire them. Managers are supposed to be held responsible for the productivity of their groups. If your managers can’t manage people except by counting the hours they’re in the office, then they should be fired as well.
I’ve been working for more than 20 years in an industry where I have to focus closely on my work sometimes, brainstorm sometimes, invent sometimes, and always be creative and alert. Cube farms are soul sucking zombie cages where I just don’t produce nearly as much. I am far more productive when working on my own schedule from where I want and I far exceed the output and effectiveness of most people I know. I have a ransom note on top of my LinkedIn profile which somewhat arrogantly announces that I only want to work for people who want me to work for them.
I have fantastic skills, insight, and motivation. I will do my best work and encourage and assist others to do the same. I have experience in varied areas which allow me to complement those around me well. Sitting in a seat in the office is not something I’m particularly good at, nor is it something I want to be measured on.
Best Buy and Yahoo are saying they need to rely on the same metrics used by retail establishments. If you clock in and out on time and don’t annoy the customers, you’re doing well. Your actual contributions to the company are not as important as your presence in the office. How motivating is that? I can clock in, play scrabble, clock out and I should be fine. Fortunately for my employer, that sounds horrendous to me. I love contributing, fixing problems, helping people and getting things done. Fortunately for me, that’s what they keep me around for.
A friend of mine pointed out how ironic it was that Marissa Meyer instituted this policy while spending the money and resources to have a nursery installed in her office at Yahoo. Perhaps, he suggests, these struggling companies are simply trying to increase attrition to help fend off a future layoff. If someone’s built their life structure around a particular work arrangement and has to move or find child care, they may just… leave.  Win-win, I guess.
UNCATEGORIZED


Taffy may refer to any of the following:
- Taffy (candy), a type of chewy, often colored, candy
- Taffy, a colloquial, sometimes pejorative term for a resident of the valley of the River Taff in Wales
- Taffy (nickname), various people
- Taffy (singer), American singer
- Taffy Thomas, British storyteller, appointed the UK's first Laureate for Storytelling in 2010
- Taffy, a nickname for Navy Task Units in World War II
- "Taffy" (song), by Lisa Loeb
- Taffy, a character in the ClayFighter series of video games
{{disambig}}


0.8.1 (01/04/2020)
Twelfth alpha release.
New feature, fix and refactoring
- Provided recent footer values in completion, based on the footer type
- Fixed the parser, which now can correctly find multiline footer values (only bodies before)
- Enhanced display of abbreviated lookup items (in case of long or multiline strings)


Create a galaxy tool consisting of an XML file and an R script. The R script should be a function defintion of a documented function, using roxygen2. The documentation is then used to make the tool definition. This function will also attempt to create a functional test, although this is likely to fail the first time since you need to add the data to the right directory.
MakeGalaxyTool(funcName, galaxyHome = "inst/galaxy", toolDir = "mytool")
| galaxyHome | (OPTIONAL) Galaxy home folder, don't change unless you know what you're doing. |
|---|---|
| toolDir | (OPTIONAL) tool directory relative to 'galaxyHome/tools/', use this to group tools within 1 folder. |
| func | Function to generate a script of. Needs to be exported by this package. |
Output from the functional test of func
# NOT RUN { # Set your working directory to the root of this package # Make sure you have cloned this package to run this example. MakeGalaxyTool(CreateDESeqData) # }


Microsoft did not provide a C# engine for Windows Script Host (WSH). CS-Script is an attempt to fill this gap. The core component of the CS-Script is a script engine that utilises the power and flexibility of the Microsoft .NET Framework.
CS-Script, by being a scripting framework, provides a lot of development opportunities when usage of traditional (non-scripting) programming techniques requires significant development effort.
Development environment is changeable.
Frequent code changes are expected.
Application logic is simple.
Application is needed for a very specific isolated task.
Intellectual property protection is not an issue.
Source code is open.
Maintenance and deployment requirements are very strict.
SW solutions ideally reside in a single file and is to be deployed by simple
copying of a minimal number of files.
Development speed is expected to be faster than usual.
Code is composed of relatively heavy chunks.
Simple deployment approach:
just bring both script and engine file (about 50 K size) on the system that has
.NET runtime installed and script can be run.
Portability:
Scripts can be run on any system, which has CLR installed.
Base language is a truly OO language:
full featured C# is used. It is called it "C# Script" but actually it is a C#.
"C# Script" better represents execution nature of the system.
All .NET functionality is available
FCL, COM Interop, Remoting.
Easily available Debuggers and rich IDEs
MS .NET Studio or third-party ones.
Execution model within the script is the same as for any .NET application:
static void Main().
Any script can be easily converted into application and vice versa.
Optimised interpretation:
interpretation of any statement in the script is done only once even though the
statement is frequently used throughout the code.
Script language is type safe:
strong typing is a luxury not available in most of the scripting languages.
Dynamic typing is also available: use Object as a default type and do
boxing/unboxing all the time.
All SW development tasks can be done in the same language.
GUI development for script applications becomes easy.
Extensibility:
scripting system can be extended by using the assemblies written in any .NET
languages or COM components


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