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In computer programming, specifically when using the imperative programming paradigm, an assertion is a predicate (a Boolean-valued function over the state space, usually expressed as a logical proposition using the variables of a program) connected to a point in the program, that always should evaluate to true at that point in code execution.
Its features include parametrized testing, fixtures, and assert re-writing. Pytest fixtures provide the contexts for tests by passing in parameter names in test cases; its parametrization eliminates duplicate code for testing multiple sets of input and output; and its rewritten assert statements provide detailed output for causes of failures.
assert_equal (x, y); assert_not_equal (x, y); But this leads to an explosion in the number of assertion macros, as the above set is expanded to support comparisons different from simple equality. So "third generation" unit test frameworks use a library such as Hamcrest to support an 'assert_that' operator that can be combined with 'matcher ...
Since 7 October 2024, Python 3.13 is the latest stable release, and it and, for few more months, 3.12 are the only releases with active support including for bug fixes (as opposed to just for security) and Python 3.9, [55] is the oldest supported version of Python (albeit in the 'security support' phase), due to Python 3.8 reaching end-of-life.
The program is then monitored for exceptions such as crashes, failing built-in code assertions, or potential memory leaks. Typically, fuzzers are used to test programs that take structured inputs. This structure is specified, such as in a file format or protocol and distinguishes valid from invalid input.
In this example propositional logic assertions are checked using functions to represent the propositions a and b. The following Z3 script checks to see if a ∧ b ¯ ≡ a ¯ ∨ b ¯ {\displaystyle {\overline {a\land b}}\equiv {\overline {a}}\lor {\overline {b}}} :
assert(expression) invariant() { expression} Eiffel f require tag: expression do end: f do ensure tag: expression end: f do check tag: expression end end: class X invariant tag: expression end: from instructions invariant tag: expression until expr loop instructions variant tag: expression end: Python — PHP Perl Raku PRE {condition } POST ...
A promising type-based verification approach is dependently typed programming, in which the types of functions include (at least part of) those functions' specifications, and type-checking the code establishes its correctness against those specifications. Fully featured dependently typed languages support deductive verification as a special case.