Compiler Error Quotes

It's hard to get motivated fixing a compile-time syntax error when you can buy a powder that turns a house into a monster.

One of the greatest problems for systems programmers (the people who write compilers, interpreters, assemblers, and other programs to be used by many people) is to figure out how to write error-detecting routines in such a way that the messages which they feed to the user whose program has a "bug" provide high-level, rather than low-level, descriptions of the problem. it is an interesting reversal that when something goes wrong in a genetic "program" (e.g., a mutation), the "bug" is manifest only to people on a high level - namely on the phenotype level, not the genotype level. Actually, modern biology uses mutations as one of its principal windows onto genetic processes, because of their multilevel traceability.

Code should be obvious: When someone needs to make a change, they should be able to find the code to be changed easily and to make the change quickly without introducing any errors. A healthy code base maximizes our productivity, allowing us to build more features for our users both faster and more cheaply. To keep code healthy, pay attention to what is getting between the programming team and that ideal, then refactor to get closer to the ideal. But the most important thing to learn from this example is the rhythm of refactoring. Whenever I’ve shown people how I refactor, they are surprised by how small my steps are, each step leaving the code in a working state that compiles and passes its tests. I was just as surprised myself when Kent Beck showed me how to do this in a hotel room in Detroit two decades ago. The key to effective refactoring is recognizing that you go faster when you take tiny steps, the code is never broken, and you can compose those small steps into substantial changes. Remember that—and the rest is silence.

The Muslim sees the Koran as the perfect and final revelation of Allah. Allah was the revealer, and Mohammed was the receptor. The very words were dictated to him. He, to them, is the last and the greatest prophet. The proof of his supremacy is the beauty of the Koran. It is the book that is considered to be the ultimate expression of perfection and the repository of truth. The difficulty here is manifold. How does one sustain that this written text is perfect? Let us consider just one troublesome aspect, the grammatical flaws that have been demonstrated. Ali Dashti, an Iranian author and a committed Muslim, commented that the errors in the Koran were so many that the grammatical rules had to be altered in order to fit the claim that the Koran was flawless. He gives numerous examples of these in his book, Twenty-Three Years: The Life of the Prophet Mohammed. (The only precaution he took before publishing this book was to direct that it be published posthumously.) A further problem facing the early compilers of the Koran was the number of variant readings of some of the important texts. Now, in recent times, scholars have begun to look at the Koran and have raised some very serious questions regarding its origin and compilation. This has sent many Islamic scholars scrambling for a response.5

For example, say you're an average web developer. You're familiar with a dozen programming languages, tons of helpful libraries, standards, protocols, what have you. You still have to learn more at the rate of about one a week, and remember to check the hundreds of things you know to see if they've been updated or broken and make sure they all still work together and that nobody fixed the bug in one of them that you exploited to do something you thought was really clever one weekend when you were drunk. You're all up to date, so that's cool, then everything breaks. "Double you tee eff?" you say, and start hunting for the problem. You discover that one day, some idiot decided that since another idiot decided that 1/0 should equal infinity, they could just use that as a shorthand for "Infinity" when simplifying their code. Then a non-idiot rightly decided that this was idiotic, which is what the original idiot should have decided, but since he didn't, the non-idiot decided to be a dick and make this a failing error in his new compiler. Then he decided he wasn't going to tell anyone that this was an error, because he's a dick, and now all your snowflakes are urine and you can't even find the cat.

All airplanes must carry two black boxes, one of which records instructions sent to all on-board electronic systems. The other is a cockpit voice recorder, enabling investigators to get into the minds of the pilots in the moments leading up to an accident. Instead of concealing failure, or skirting around it, aviation has a system where failure is data rich. In the event of an accident, investigators, who are independent of the airlines, the pilots’ union, and the regulators, are given full rein to explore the wreckage and to interrogate all other evidence. Mistakes are not stigmatized, but regarded as learning opportunities. The interested parties are given every reason to cooperate, since the evidence compiled by the accident investigation branch is inadmissible in court proceedings. This increases the likelihood of full disclosure. In the aftermath of the investigation the report is made available to everyone. Airlines have a legal responsibility to implement the recommendations. Every pilot in the world has free access to the data. This practice enables everyone—rather than just a single crew, or a single airline, or a single nation—to learn from the mistake. This turbocharges the power of learning. As Eleanor Roosevelt put it: “Learn from the mistakes of others. You can’t live long enough to make them all yourself.” And it is not just accidents that drive learning; so, too, do “small” errors. When pilots experience a near miss with another aircraft, or have been flying at the wrong altitude, they file a report. Providing that it is submitted within ten days, pilots enjoy immunity. Many planes are also fitted with data systems that automatically send reports when parameters have been exceeded. Once again, these reports are de-identified by the time they proceed through the report sequence.*

[I]n most cases the errors on the Piri Re'is Map are due to mistakes in the compilation of the world map, presumably in Alexandrian times, since it appears, as we shall see, that Piri Re'is could not have put them together at all. The component maps, coming from a far greater antiquity, were far more accurate. The Piri Re'is Map appears, therefore, to be evidence of a decline of science from remote antiquity to classical times.

the purpose of the finally block is to contain cleanup code that should always be executed, the compiler will flag an error if you place a return statement inside a finally block. An

I live near a park and frequently walk around the local area. Given the amount of dog mess that is on the pavements, I thought this book would be the ideal read to stop me from having to scrape my shoes on the grass before going home. It was only after it arrived that I looked closely at the title and realized it said How to Avoid Huge SHIPS. A simple error that means I am still treading on massive examples of canine excrement. Having said that, I read the book anyway, and I’m pleased to say I’m not even having near misses with huge ships anymore. No sir, they ain’t getting anywhere near me!

When the ANSI C standard was under development, the pragma directive was introduced. Borrowed from Ada, #pragma is used to convey hints to the compiler, such as the desire to expand a particular function in-line or suppress range checks. Not previously seen in C, pragma met with some initial resistance from a gcc implementor, who took the “implementation-defined” effect very literally—in gcc version 1.34, the use of pragma causes the compiler to stop compiling and launch a computer game instead! The gcc manual contained the following: The “#pragma” command is specified in the ANSI standard to have an arbitrary implementation-defined effect. In the GNU C preprocessor, “#pragma” first attempts to run the game “rogue”; if that fails, it tries to run the game “hack”; if that fails, it tries to run GNU Emacs displaying the Tower of Hanoi; if that fails, it reports a fatal error. In any case, preprocessing does not continue. —Manual for version 1.34 of the GNU C compiler

debugger, a tool that will preserve your C source code after compilation and enable you to do such things as step through it manually, or alter data as an aid to finding and correcting programming errors.

Go does not permit unused local variables, so this would result in a compilation error.

That night was like the first computer program he ever wrote: a series of run-time errors followed by a quick compilation.

Now I created a module from whole cloth. It was concise, not even a hundred lines of code, built in perfect symmetry around a single action. One by one, in exactly the right order, I suspended the arm’s motor control loops. Then I loaded the action directly into the PKD 2891 Stepper Motors, which most people didn’t realize you could do; they all had their own MCUs, with just enough memory for what came next. Then, one by one, I brought the motor control loops back online. I finished my new module, named it, tried to compile, was informed of several embarrassing syntax errors, corrected them, compiled again. I flashed the Vitruvian with the new code and said aloud, “Try again.” It plucked up an egg, moved it lightly into position, paused, and thwacked the egg against the rim of the bowl. Just after the thwack, my new module took over. The motor control loops went dark. The arm wasn’t running blind; it was more like … a blink. Not even a hundred milliseconds, during which my new module said: Just go for it. In the ArmOS codebase, as part of the Control package, I had created something new—a tiny space without feedback or self-awareness—and I had named it Confidence. The yolk flowed out with the albumen while the shell came apart cleanly in the Vitruvian’s six-fingered grip. The arm swiveled and dropped the shell neatly into the small bowl I had set up for that purpose—the bowl that had never before this moment actually been needed. I had solved the egg problem, and I had done so in the simplest way possible: not by adding code, but by taking it away. During the blink, the Vitruvian was no longer caught in a wash of continuous feedback. It was no longer second-guessing its second guesses a thousand times every second.

How to get my business on top of google search? Let’s begin with an explanation of why being on top of Google is important. To be precise, what does this mean? What are the advantages and disadvantages of being here? And who should care about it in any case? Being on top of google search means that when users make the search query - the site appears before its competitors. Not only in the row of results, but also among them in the first place. The more often you are there, the better. Being on top of Google search has a significant impact on traffic growth for your business. This is due to two reasons: 1) 80% of people do not click beyond page 1 in search engine results 2) When someone goes down to pages 2-3 they do not stay there, so it's a lost cause When it comes to SEO, there are no secrets or magic formulas that work 100% all the time. There is only a set of rules that helps you determine which actions yield a better result based on research made within a certain period of time. It may not be 100%, but you need to know at least some basics in order to have an idea about why your site doesn't have high rankings yet and what needs to be done to achieve them! Based on our experience with improving the search engine position of numerous fantasy app development websites, we compiled this list of the most important factors that influence Google rankings: 1. The code of your website and its structure (technical part) 2. The relevance of content on your site - how to make it unique and relevant at the same time (on-page factors) 3. Relevance and popularity of backlinks pointing to your site (off-page factors) 4. Quality of traffic coming from search engines to your website (on-page and off-page factors) 5. The overall authority, popularity, and trustworthiness of a domain name as well as quantity and quality of backlinks you have pointing to it (backlink profile). 6. Compatibility with the type and model of used CMS platform, user-friendliness, and a number of bugs or errors that may be present 7. Terms and conditions mentioned on your website as well as its structure, design, and user-friendliness (UX)

Programming languages, their features, readability, and interoperation Code reuse across platforms (server vs web vs mobile) Early error detection (compile-time vs runtime error detection, breadth of validation) Availability and cost of hiring the right talent; learning curve for new hires Readability and refactorability of code Approach to code composition, embracing the change Datastore and general approach to data modeling Application-specific data model, and the blast radius from changing it Performance and latency in all tiers and platforms Scalability and redundancy Spiky traffic patterns, autoscaling, capacity planning Error recovery Logging, telemetry, and other instrumentation Reducing complexity User interfaces and their maintainability External APIs User identity and security Hardware and human costs of the infrastructure and its maintenance Enabling multiple concurrent development workstreams Enabling testability Fast-tracking development by adopting third-party frameworks

In deceptively brief terms, Edison tells us: “I make trial after trial until it comes.” He and his team were willing to perspire, but he also knew what he would be doing with all those hours: trial and error. For the lightbulb, filaments were the key, and bamboo was the most promising material, so Edison tested every kind of bamboo to find the best. If Burns is to be believed, there were twelve hundred varieties of bamboo, and Edison tried each one. It sounds simple, and it was, but the way Edison defined the project also gave it a shape. He crossed off items from a to-do list. When we made our porting strategy for the web browser, we turned to something like Edison’s model. We knew the compiler would tell us about broken cross-references, and we examined all of them one at a time. We knew our FIXMEs would tell us where our code was weakest, and we studied the reports closely. Moving toward the Black Slab Encounter was a stepwise process, much like Edison’s search for the best bamboo. Edison did trial after trial with filaments; we went file after file in our build process and FIXME after FIXME trying to load a web page. Both projects were built on unglamorous grunt work, but the specifics matter. Edison wasn’t just trudging toward the horizon in a desert, hoping that the crest of the next sand dune would reveal an oasis—that sounds more like the way that Don and I wandered through our browser investigations in the weeks before Richard joined us. Instead, Edison searched specifically for the best kind of bamboo, and he was undaunted by the need to check a vast number of varieties. Each one he tested was an item crossed off and brought him closer to finding which one was the best. In the lead up to the Black Slab Encounter, we did the same. Even though Don, Richard, and I struggled with the tedium, we kept plowing through each file and FIXME.