Judd in the Nick of time Double Jeopardy
By Ross Anthony
"Double Jeopardy" starts out rather rough and lifeless, not quite sure how to set itself up for the real story. This is where Libby (Judd) is framed (or did she really do it?) for the murder of her hubby Nick. She's quickly herded off to prison where she spends six (or was it eight?) years in what seems like 30 seconds. From there she's released to an institution for parolees which is overseen by Tommy Lee. This is where the movie really starts (so show up to the theater at least 30 minutes late).
Double Jeopardy gives Libby the right to blow Nick away (if he's still alive) without worry of a second trial ("not true" says one real life lawyer I've heard). Anyway (for the purposes of the film), we're left to wonder if this sweet loving wife, would do it. But Libby is more interested in finding her son. So she busts out of the parole halfway house and begins breaking all kinds of laws. Which leads to two or three big action sequences. The first making me painfully embarrassed for the filmmakers. The second being very enjoyable and almost perfectly believable. At that moment I was willing to change my mind about this picture. But an absurd cemetery scene near the end buried any hopes of that.
Tommy Lee is awesome as always. Ashley Judd is unusually un-inspired, though on occasion delivers a zinger. For example, when getting hit-on by some unknowing male she responds, "Sure, I'd love to sit and chat with you, but I've just got to call my parole officer first." The movie for the most part is a hodgepodge of drama, action and even comedy. It just doesn't flow, giving the feel of too many writers and/or directors.
The film would have benefited from a longer more in-depth prison experience, during which we could have seen Judd learn all the tricks of the trade. Tricks that would come in handy later. To do this, time could be taken away from the frame job sequences. Or trash that whole section altogether (it's simply not compelling, even if you don't know if she really killed him or not). Start in prison, tell the frame-job story in flashbacks (if needed). Kill and bury the cemetery scene. Develop Lee's conflicting motivation to both arrest and assist Judd -- that's the most interesting aspect of the film anyway.
Double Jeopardy. Copyright © 1999. Rated R. Starring Tommy Lee Jones and Ashley Judd, with Bruce Greenwood and Annabeth Gish. Directed by Bruce Beresford. Written by David Weisberg and Douglas S. Cook. Produced by Leonard Goldberg at Paramount.
Grade..........................C+
-- Copyright © 1999 Ross Anthony, currently based in Los Angeles, has scripted and shot documentaries, music videos, and shorts in 35 countries across North America, Europe, Africa and Asia. For more reviews visit: http://RossAnthony.com
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Power Up will track your current energy efficiency by the devices you have at home.
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| Name | Take Meal At: | Carbohydrates | requiredCarbs | Protein | requiredProtein | Fat | requiredFat |
|---|
Your preferences will appear here once you select what you want in the Recomended meals
if the food isnt in Recomended meals Page here, Go to Nutrition Information Page and add the food you want to Recomended meals
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npm Blog!
This is the npm blog. It is a tumblr. Please enjoy it.
—i
This is the npm blog. It is a tumblr. Please enjoy it.
—i
The most long-term success tends to come from reducing, to the greatest extent possible, the need for agreement and consensus.
A simple micro-example of this is the lunch-time behaviors of two different companies I’ve worked at: Joyent and The Startup. (“The Startup” shall remain nameless, because I hated it there, but I really liked a lot of the people involved, and don’t want to accidentally blame them for any of the badness. It’s sad that it went the way it did, but I am thankful for the experience I got out of it.)
At Joyent, lunch happens at a reasonable hour. (Since I am in the office most often on Tuesday, it’s signaled with a warning klaxon.) It is a leisurely 60 to 90 minute affair, where we socialize easily. Subjects of conversation do touch on work quite a bit, of course, but equally common are baseball, the politics of Crazy Town, what’s wrong (and right) with Computer Science education (or tech in general), and the latest Hacker News troll fountain.
If we all happen to be in the mood for the same type of food, we’ll sometimes go together. However, more often than not, everyone gets takeaway from a nearby spot, and we gather around a big round table. If we start walking in the same direction, but then I want a sandwich and you want a taco, we part ways, and meet back at the office.
People come and go, extremely low-pressure. We disagree more than we agree, but we easily move on from disagreements and find a new subject to toss around. There is no governance or agreement, no hard feelings. Just a loose group of sovereigns who enjoy one another’s company.
Not only do we not have to all agree on the same thing for lunch, the disagreement can often yield benefits for everyone. If you get tired of the same old offerings, and head out in a different direction, you might find a new menu that becomes a crowd favorite.
At The Startup, lunch was catered. (We provide you lunch! Hooray! Come work here!) The food wasn’t terrible, and I believe that it was well-intentioned by the founders, but I’ve since come to view catered lunch as a huge red flag at a company. My coworkers ate fast, and only discussed work, if they didn’t continue working at their desks while they ate. This was viewed as normal.
One time I decided to leave the office and bring something back (mostly because I just wanted a walk, having not seen the midday sun for a week). I asked a few of my teammates if they wanted to come with me, and the answer was “Um, no, I probably shouldn’t…” When I returned, no fewer than 5 people asked me nervously if I was ok, if anything was wrong, where I went, what was going on. It was SO weird.
Something as simple as a sandwich wrapped in paper showed that I wasn’t part of their unified tribe. To make matters even worse, most engineers there were in the office around 7:30 in the morning, stayed for the catered dinner (!!), worked another few hours, and then stuck around drinking beers in the office together until 23:00 or midnight. Having bags under one’s eyes was a mark of pride.
Maybe I’m just lazy, but I really only have about 5 solid hours of focus in me on a given day, and those hours suffer considerably if I don’t get the proper physical, mental, and emotional rest. So, it was not a great fit. I quit after a few months. A year (and 2 pivots) later, they were sold for a fraction of what their investors had put in, never having reached the general release of their product.
But back to the lunches. There’s an important point there.
Human societies function best when they are structured in such a way as to tolerate–even celebrate–disagreement. If the society can be improved by disagreement, then that’s even better. It allows for freedom, self-determination, experimentation, and a pervasive sense of safety. If you and I can disagree comfortably, then I don’t have to worry that we might disagree, which means two things: I can be candid with my honest opinions, and I can be open to yours. I don’t have to resist your opinions if I disagree, and I don’t have to guess your reaction before I share mine.
Of course, clearly some disagreements are not tolerable. If you and I disagree about whether to put a knife in my chest, there’s no way we can both get our way. Designing groups that can benefit from disagreement is non-trivial, and usually happens by accident. In the political space, this usually means some form of constitutional democracy, but neither “constitutional” nor “democracy” will ensure a healthy and inclusive culture or guarantee that experimentation will be promoted.
With npm, I actively sought to design a software system in which we could easily use one another’s Node.js modules, without having to agree on which Node.js modules to use, or the best way to organize them in our projects.
I wish that I could claim credit for the “small modules” design philosophy or the many best practices and popular resources that have been created, but in truth, I can’t. All of those things were designed or discovered by other people.
When everyone else is applying force, it’s best to reduce friction. People were writing a lot of cool stuff, but having to agree on conventions and techniques was putting sand in the gears. The downsides of ceremony and dependency hell are very difficult to appreciate ahead of time, and the choices that lead to that place solve real problems early on. With npm, I opted to not solve some problems so that I could solve others. By sticking to the rule of “minimize the need for consensus”, we’ve found much more interesting problems (like how to handle massive growth).
The next time someone says that they like CoffeeScript, or that they don’t like Promises, or whatever other arbitrary preference you believe is “wrong”, instead of picking a fight with them, just be thankful that they’re not the boss of you, and that you can like different things, and still be friends.
Isaac Schlueter: Ok
Isaac Schlueter: Sure why not
Isaac Schlueter: Sounds good.
Isaac Schlueter: Ok
Isaac Schlueter: Ok
Luke Arduini: im laughing at my desk and havent even watched the video yet
Luke Arduini: I love the cinco line of products
Luke Arduini: I keep laughing and then all the people around me go silent
Isaac Schlueter: Ok
Luke Arduini: Sure why not.
Isaac Schlueter: I understand.
Luke Arduini: Thanks for coming.
Isaac Schlueter: I understand.
Luke Arduini: Ok.

Isaac Schlueter: I can never talk to you again.
Luke Arduini: I understand.
Isaac Schlueter: Ok
Isaac Schlueter: Thanks for coming.
Luke Arduini: Sure why not.


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QAbstractTransition QML Type
The QAbstractTransition type is the base type of transitions between QAbstractState objects. More...
| Import Statement: | import QtQml.StateMachine 1.0 |
| Since: | Qt 5.4 |
| Inherited By: |
Properties
- sourceState : bool
- targetState : QAbstractState
- targetStates : list<QAbstractState>
Signals
Detailed Description
The QAbstractTransition type is the abstract base type of transitions between states (QAbstractState objects) of a StateMachine. QAbstractTransition is part of The Declarative State Machine Framework.
The sourceState() property has the source of the transition. The targetState and targetStates properties return the target(s) of the transition.
The triggered() signal is emitted when the transition has been triggered.
Do not use QAbstractTransition directly; use SignalTransition or TimeoutTransition instead.
See also SignalTransition and TimeoutTransition.
Property Documentation
targetState : QAbstractState |
The target state of this transition.
If a transition has no target state, the transition may still be triggered, but this will not cause the state machine's configuration to change (i.e. the current state will not be exited and re-entered).
targetStates : list<QAbstractState> |
The target states of this transition.
If multiple states are specified, they all must be descendants of the same parallel group state.
Signal Documentation
This signal is emitted when the transition has been triggered.
The corresponding handler is onTriggered
.


Allows you to set a custom context and message on a pull request pulled using GHPRB.
This will add the context and message to the pull request found in the upstream job NOT on any pull requests taken on this job
To add a custom context and message on any pull requests on THIS job see the GHPRB section in the Build Triggers section
IMPORTANT:
This will only work if you configure a upstream job that uses the Github Pull Request Builder Plugin


The C++ Standard Library provides the containers used in the solution of most programming problems. However, there are a number of classic container types that are not included. In most cases, this is because the provided containers can be easily adapted to a wide variety of uses, including the uses traditionally provided by the omitted containers. Table 8 lists the container types that are not contained in the library, and the simple substitution.
| Container type NOT given | C++ Standard Library substitution |
tree | The set datatype is internally implemented using a form of binary search tree. For most problems that would be solved using trees, the set datatype is an adequate substitute. |
multidimensional array | Since vectors can hold other vectors as elements, such structures can be easily constructed. |
graph | One representation for graphs can be easily constructed as a map that holds other maps. This type of structure is described in the sample problem discussed in Section 9.3.2. |
sparse array | A novel substitution is the graph representation discussed in Section 9.3.2. |
hash table | A hash table provides amortized constant time access, and insertion and removal of elements, by converting access and removal operations into indexing operations. In the C++ Standard Library, a hash table can be easily constructed as a vector (or deque) that holds lists (or even sets) as elements. A similar structure is described in the radix sort sample problem discussed in Section 7.3, although this example does not include invoking a hash function to convert a value into an index. maps and multimaps provide features similar to a hash table's, but inserts and searches are performed in log(N) time, with N being the size of the map or multimap. |
some set functionality | In the C++ Standard Library, the set datatype is specifically ordered, and set operations (union, intersection, and so on) cannot be performed on collections of unordered values (for example, a set of complex numbers). A list can be used as a substitute, although it is still necessary to write special set operation functions, as the generic algorithms cannot be used with lists. |


Compiler Design and Construction
Introduction
Programming languages are notations for describing computations to people and to machines. The world as we know it depends on programming languages, because all the software running on all the computers was written in some programming language. But, before a program can be run, it first must be translated into a form in which it can be executed by a computer. The software systems that do this translation are called compilers. This book is about how to design and implement compilers. We shall discover that a few basic ideas can be used to construct translators for a wide variety of languages and machines. Besides compilers, the principles and techniques for compiler design are applicable to so many other domains that they are likely to be reused many times in the career of a computer scientist. The study of compiler writing touches upon programming languages, machine architecture, language theory, algorithms, and software engineering.
In this preliminary chapter, we introduce the different forms of language translators, give a high level overview of the structure of a typical compiler, and discuss the trends in programming languages and machine architecture that are shaping compilers. We include some observations on the relationship between compiler design and computer-science theory and an outline of the applications of compiler technology that go beyond compilation. We end with a brief outline of key programming-language concepts that will be needed for our study of compilers.
Names, Identifiers, and Variables
Although the terms "name" and "variable," often refer to the same thing, we use them carefully to distinguish between compile-time names and the run-time locations denoted by names.
An identifier is a string of characters, typically letters or digits, that refers to (identifies) an entity, such as a data object, a procedure, a class, or a type. All identifiers are names, but not all names are identifiers. Names can also be expressions. For example, the name x.y might denote the field y of a structure denoted by x. Here, x and y are identifiers, while x.y is a name, but not an identifier. Composite names like x.y are called qualified names.
A variable refers to a particular location of the store. It is common for the same identifier to be declared more than once; each such declaration introduces a new variable. Even if each identifier is declared just once, an identifier local to a recursive procedure will refer to different locations of the store at different times.
binds the name ARRAYSIZE to the value 1000 statically. We can determine this binding by looking at the statement, and we know that it is impossible for this binding to change when the program executes.
1.6.3 Static Scope and Block Structure
Most languages, including C and its family, use static scope. The scope rules for C are based on program structure; the scope of a declaration is determined implicitly by where the declaration appears in the program. Later languages, such as C++, Java, and C#, also provide explicit control over scopes through the use of keywords like public, private, and protected.
In this section we consider static-scope rules for a language with blocks, where a block is a grouping of declarations and statements. C uses braces I and ) to delimit a block; the alternative use of begin and end for the same purpose dates back to Algol.
Example 1.5 : To a first approximation, the C static-scope policy is as follows:
1. A C program consists of a sequence of top-level declarations of variables and functions.
2. Functions may have variable declarations within them, where variables include local variables and parameters. The scope of each such declaration is restricted to the function in which it appears.
1.6. PROGRAMMING LANGUAGE BASICS 29
Procedures, Functions, and Methods
To avoid saying "procedures, functions, or methods," each time we want to talk about a subprogram that may be called, we shall usually refer to all of them as "procedures." The exception is that when talking explicitly of programs in languages like C that have only functions, we shall refer to them as "functions." Or, if we are discussing a language like Java that has only methods, we shall use that term instead.
A function generally returns a value of some type (the "return type"), while a procedure does not return any value. C and similar languages, which have only functions, treat procedures as functions that have a special return type "void," to signify no return value. Object-oriented languages like Java and C++ use the term "methods." These can behave like either functions or procedures, but are associated with a particular class. 3. The scope of a top-level declaration of a name x consists of the entire program that follows, with the exception of those statements that lie within a function that also has a declaration of x.
The additional detail regarding the C static-scope policy deals with variable declarations within statements. We examine such declarations next and in
Example 1.6.
In C, the syntax of blocks is given by
1. One type of statement is a block. Blocks can appear anywhere that other types of statements, such as assignment statements, can appear.
2. A block is a sequence of declarations followed by a sequence of statements, all surrounded by braces.
 This nesting property is referred to as block structure. The C family of languages has block structure, except that a function may not be defined inside another function.
We say that a declaration D "belongs" to a block B if B is the most closely nested block containing D; that is, D is located within B, but not within any block that is nested within B.
The static-scope rule for variable declarations in a block-structured languages is as follows. If declaration D of name x belongs to block B, then the scope of D is all of B, except for any blocks B' nested to any depth within B, in which x is redeclared. Here, x is redeclared in B' if some other declaration D' of the same name x belongs to B'.
An equivalent way to express this rule is to focus on a use of a name x. Let B1, B2, . . . , Bk be all the blocks that surround this use of x, with Bk the smallest, nested within Bk-1, which is nested within Bk-2, and so on. Search for the largest i such that there is a declaration of x belonging to Bi. This use of x refers to the declaration in Bi. Alternatively, this use of x is within the scope of the declaration in Bi.


Throughout this guide, the i3 logo will be used to refer to the configured modifier.
This is the key (Mod1
) by default,
with super/ (Mod4
) being a popular alternative.
| + | open new terminal |
| + j | focus left |
| + k | focus down |
| + l | focus up |
| + ; | focus right |
| + | toggle focus mode |
| + + j | move window left |
| + + k | move window down |
| + + l | move window up |
| + + ; | move window right |
| + f | toggle fullscreen |
| + v | split a window vertically |
| + h | split a window horizontally |
| + r | resize mode |
Look at the “Resizing containers / windows” section of the user guide.
| + e | default |
| + s | stacking |
| + w | tabbed |
| + + | toggle floating |
| + | drag floating |
| + 0-9 | switch to another workspace |
| + + 0-9 | move a window to another workspace |
| + d | open application launcher (dmenu) |
| + + q | kill a window |
| + + c | reload the configuration file |
| + + r | restart i3 inplace |
| + + e | exit i3 |
Copyright © 2012, Michael Stapelberg
All rights reserved
Designed by Zeus Panchenko, updated by Moritz Bandemer
Permission is granted to copy, distribute and/or modify this document provided the copyright notice and this permission notice are preserved on all copies.


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---
layout: null
section-type: about
title: About
---
## About
Some really awesome text should go here to explain why I am awesome!!!
I am a super cool dad with 3 awesome kids!!!
Add a small bit of awesome sauce about myself with a side helping of witty humour!!!


Security is a part of our work as developers. We need to ensure our applications against malicious attacks. SQL Injection is one of the most common possible attacks. Basically SQL Injection is one kind of attack that happens when someone injects SQL statements in our application. You can find a lot of info about SQL Injection attack. Basically you need to follow the security golden rule
Filter input Escape output
If you work with PHP problably you work with PDO Database abstraction layer. Let’s prepare our database for the examples (I work with PostgreSQL):
CREATE TABLE users
(
uid integer NOT NULL,
name character varying(50),
surname character varying(50),
CONSTRAINT pk_users PRIMARY KEY (uid)
)
WITH (
OIDS=FALSE
);
ALTER TABLE users OWNER TO gonzalo;
INSERT INTO users(uid, name, surname) VALUES (0, 'Gonzalo', 'Ayuso');
INSERT INTO users(uid, name, surname) VALUES (1, 'Hans', 'Solo');
INSERT INTO users(uid, name, surname) VALUES (2, 'Luke', 'Skywalker');
OK our database is ready. Now let create a simple query
$dbh = new PDO('pgsql:dbname=db;host=localhost', 'gonzalo', 'password');
$dbh->setAttribute(PDO::ATTR_ERRMODE, PDO::ERRMODE_EXCEPTION);
$stmt = $dbh->prepare('select uid, name, surname from users where uid=:ID');
$stmt->execute(array('ID' => 0));
$data = $stmt->fetchAll();
It works. We are using bind parameters, so we need to prepare one statement, execute and fetch the recordset. The use of prepared statements is strongly recommended. We can also use query() function:
$dbh = new PDO('pgsql:dbname=db;host=localhost', 'gonzalo', 'password');
$dbh->setAttribute(PDO::ATTR_ERRMODE, PDO::ERRMODE_EXCEPTION);
$uid = 0;
$stmt = $dbh->query("select uid, name, surname from users where uid={$uid}");
$data = $stmt->fetchAll();
But what happens if $id came from the request and it’s not propertly escaped
$dbh = new PDO('pgsql:dbname=db;host=localhost', 'gonzalo', 'password');
$dbh->setAttribute(PDO::ATTR_ERRMODE, PDO::ERRMODE_EXCEPTION);
$uid = "0; drop table users;";
$stmt = $dbh->query("select uid, name, surname from users where uid={$uid}");
$data = $stmt->fetchAll();
basically nothing: SQLSTATE[42601]: Syntax error. That’s because is not allowed to use two prepared statements in a single statement.
If we use an insert:
$dbh = new PDO('pgsql:dbname=db;host=localhost', 'gonzalo', 'password');
$dbh->setAttribute(PDO::ATTR_ERRMODE, PDO::ERRMODE_EXCEPTION);
$uid = 20;
$name = 'Gonzalo';
$surname = "Ayuso'); drop table users; select 1 where ('1' = '1";
$count = $dbh->exec("INSERT INTO users(uid, name, surname) VALUES ({$uid}, '{$name}', '{$surname}')");
Now we have a problem. Our user table will be deleted. Why? That’s because of the user we are using to connect to the database. It’s important especially at production servers. It’s very important not to use a database superuser in production. Superusers are very comfortable in our development servers, because you don’t need to grant privileges to every tables but if you forget this issue in production you could have Sql-Injection problems. The solution is very simple:
GRANT SELECT, UPDATE, INSERT, DELETE ON TABLE users TO gonzalo2;
And now
$dbh = new PDO('pgsql:dbname=db;host=localhost', 'gonzalo2', 'password');
$dbh->setAttribute(PDO::ATTR_ERRMODE, PDO::ERRMODE_EXCEPTION);
$uid = 20;
$name = 'Gonzalo';
$surname = "Ayuso'); drop table users; select 1 where ('1' = '1";
$count = $dbh->exec("INSERT INTO users(uid, name, surname) VALUES ({$uid}, '{$name}', '{$surname}')");
Now we are safe, at least with this possible attack. Sumarizing:
- Filter input
- Escape output
- Take care about the database users. Don’t use one user that it allowed to perform “not-allowed” operations within our application. It sounds like a pun but is important.