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  2. Exception handling syntax - Wikipedia

    en.wikipedia.org/wiki/Exception_handling_syntax

    Catch ex As ExceptionType ' Handle Exception of a specified type (i.e. DivideByZeroException, OverflowException, etc.) Catch ex As Exception ' Handle Exception (catch all exceptions of a type not previously specified) Catch ' Handles anything that might be thrown, including non-CLR exceptions.

  3. Error hiding - Wikipedia

    en.wikipedia.org/wiki/Error_hiding

    Handling errors in this manner is considered bad practice [1] and an anti-pattern in computer programming. In languages with exception handling support, this practice is called exception swallowing. Errors and exceptions have several purposes:

  4. Exception handling (programming) - Wikipedia

    en.wikipedia.org/wiki/Exception_handling...

    LISP 1.5 (1958-1961) [5] allowed exceptions to be raised by the ERROR pseudo-function, similarly to errors raised by the interpreter or compiler. Exceptions were caught by the ERRORSET keyword, which returned NIL in case of an error, instead of terminating the program or entering the debugger. [ 6 ]

  5. Exception handling - Wikipedia

    en.wikipedia.org/wiki/Exception_handling

    Common exceptions include an invalid argument (e.g. value is outside of the domain of a function), [5] an unavailable resource (like a missing file, [6] a network drive error, [7] or out-of-memory errors [8]), or that the routine has detected a normal condition that requires special handling, e.g., attention, end of file. [9]

  6. Error correction code - Wikipedia

    en.wikipedia.org/wiki/Error_correction_code

    Low-density parity-check (LDPC) codes are a class of highly efficient linear block codes made from many single parity check (SPC) codes. They can provide performance very close to the channel capacity (the theoretical maximum) using an iterated soft-decision decoding approach, at linear time complexity in terms of their block length.

  7. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    Numeric literals in Python are of the normal sort, e.g. 0, -1, 3.4, 3.5e-8. Python has arbitrary-length integers and automatically increases their storage size as necessary. Prior to Python 3, there were two kinds of integral numbers: traditional fixed size integers and "long" integers of arbitrary size.

  8. Control flow - Wikipedia

    en.wikipedia.org/wiki/Control_flow

    for X := 0.1 step 0.1 to 1.0 do might be repeated 9 or 10 times, depending on rounding errors and/or the hardware and/or the compiler version. Furthermore, if the increment of X occurs by repeated addition, accumulated rounding errors may mean that the value of X in each iteration can differ quite significantly from the expected sequence 0.1, 0 ...

  9. List of unit testing frameworks - Wikipedia

    en.wikipedia.org/wiki/List_of_unit_testing...

    Unit testing framework with mocks and stubs built in. Runs in the command line or get HTML5, TAP or XML output via a web browser. Tester: Yes: Yes [462] PHP library for unit-testing (in console and browser), simplified variant of PHPUnit. With ability to handle errors and exceptions in tests. PhpInlineTest: No: No [463]