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Lacking the distinct features of "usual" JavaScript, obfuscation techniques like JSFuck can assist malicious JavaScript code in bypassing intrusion prevention systems [17] or content filters. For instance, the lack of alphanumeric characters in JSFuck and a flawed content filter allowed sellers to embed arbitrary JSFuck scripts in their eBay ...
MessagePack is more compact than JSON, but imposes limitations on array and integer sizes.On the other hand, it allows binary data and non-UTF-8 encoded strings. In JSON, map keys have to be strings, but in MessagePack there is no such limitation and any type can be a map key, including types like maps and arrays, and, like YAML, numbers.
Magic numbers become particularly confusing when the same number is used for different purposes in one section of code. It is easier to alter the value of the number, as it is not duplicated. Changing the value of a magic number is error-prone, because the same value is often used several times in different places within a program. [ 6 ]
Handlebars.js and Mustache are both logicless templating languages that keep the view and the code separated like we all know they should be. [ 8 ] Handlebars differs from its predecessor in that, within Block Expressions (similar to sections in Mustache), Helpers allow custom function through explicit user-written code for that block.
User writes Fortran tests: Python script automatically finds all tests and generates the Fortran test driver. Supports F77-F2003. Assertion support and string and array libs included. XFunit: Yes: Yes: Yes: Yes [267] XFunit is an object oriented framework to implement unit testing in native Fortran. It uses object-oriented features of Fortran ...
PER Aligned: a fixed number of bits if the integer type has a finite range and the size of the range is less than 65536; a variable number of octets otherwise; OER: 1, 2, or 4 octets (either signed or unsigned) if the integer type has a finite range that fits in that number of octets; a variable number of octets otherwise
For example, 32 contiguous bits may be treated as an array of 32 Booleans, a 4-byte string, an unsigned 32-bit integer or an IEEE single precision floating point value. Because the stored bits are never changed, the programmer must know low level details such as representation format, byte order, and alignment needs, to meaningfully cast.
The standard type hierarchy of Python 3. In computer science and computer programming, a data type (or simply type) is a collection or grouping of data values, usually specified by a set of possible values, a set of allowed operations on these values, and/or a representation of these values as machine types. [1]