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  2. JavaScript syntax - Wikipedia

    en.wikipedia.org/wiki/JavaScript_syntax

    Especially whole numbers larger than 2 53 - 1, which is the largest number JavaScript can reliably represent with the Number primitive and represented by the Number.MAX_SAFE_INTEGER constant. When dividing BigInts, the results are truncated .

  3. JavaScript - Wikipedia

    en.wikipedia.org/wiki/JavaScript

    Numbers are converted to their string representation; Arrays have their elements cast to strings after which they are joined by commas (,) Other objects are converted to the string [object Object] where Object is the name of the constructor of the object; Values are cast to numbers by casting to strings and then casting the strings to numbers.

  4. Type conversion - Wikipedia

    en.wikipedia.org/wiki/Type_conversion

    In computer science, type conversion, [1] [2] type casting, [1] [3] type coercion, [3] and type juggling [4] [5] are different ways of changing an expression from one data type to another. An example would be the conversion of an integer value into a floating point value or its textual representation as a string , and vice versa.

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  6. List of tools for static code analysis - Wikipedia

    en.wikipedia.org/wiki/List_of_tools_for_static...

    ESLint – JavaScript syntax checker and formatter. Google's Closure Compiler – JavaScript optimizer that rewrites code to be faster and smaller, and checks use of native JavaScript functions. CodeScene – Behavioral analysis of code. JSHint – A community driven fork of JSLint. JSLint – JavaScript syntax checker and validator. Klocwork

  7. JSFuck - Wikipedia

    en.wikipedia.org/wiki/JSFuck

    The number 1 is formed as +!![] or +!+[], where the boolean value true (expressed as !![] or !+[] in JSFuck) is converted into the numeric value 1 by the prepended plus sign. The digits 2 to 9 are formed by summing true the appropriate number of times. E.g. in JavaScript true + true = 2 and true = !![] = !+[], hence 2 can be written as ...

  8. Double-precision floating-point format - Wikipedia

    en.wikipedia.org/wiki/Double-precision_floating...

    Double-precision floating-point format (sometimes called FP64 or float64) is a floating-point number format, usually occupying 64 bits in computer memory; it represents a wide range of numeric values by using a floating radix point.

  9. Type punning - Wikipedia

    en.wikipedia.org/wiki/Type_punning

    However, supposing that floating-point comparisons are expensive, and also supposing that float is represented according to the IEEE floating-point standard, and integers are 32 bits wide, we could engage in type punning to extract the sign bit of the floating-point number using only integer operations: