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  2. Fletcher's checksum - Wikipedia

    en.wikipedia.org/wiki/Fletcher's_checksum

    An ordering problem that is easy to envision occurs when the data word is transferred byte-by-byte between a big-endian system and a little-endian system and the Fletcher-32 checksum is computed. If blocks are extracted from the data word in memory by a simple read of a 16-bit unsigned integer, then the values of the blocks will be different in ...

  3. Variable-length quantity - Wikipedia

    en.wikipedia.org/wiki/Variable-length_quantity

    A variable-length quantity (VLQ) is a universal code that uses an arbitrary number of binary octets (eight-bit bytes) to represent an arbitrarily large integer.A VLQ is essentially a base-128 representation of an unsigned integer with the addition of the eighth bit to mark continuation of bytes.

  4. List of CIL instructions - Wikipedia

    en.wikipedia.org/wiki/List_of_CIL_instructions

    Shift an integer left (shifting in zeros), return an integer. Base instruction 0x63 shr: Shift an integer right (shift in sign), return an integer. Base instruction 0x64 shr.un: Shift an integer right (shift in zero), return an integer. Base instruction 0xFE 0x1C sizeof <typeTok> Push the size, in bytes, of a type as an unsigned int32.

  5. Checksum - Wikipedia

    en.wikipedia.org/wiki/Checksum

    The simplest checksum algorithm is the so-called longitudinal parity check, which breaks the data into "words" with a fixed number n of bits, and then computes the bitwise exclusive or (XOR) of all those words. The result is appended to the message as an extra word.

  6. Cyclic redundancy check - Wikipedia

    en.wikipedia.org/wiki/Cyclic_redundancy_check

    This convention encodes the polynomial complete with its degree in one integer. These complications mean that there are three common ways to express a polynomial as an integer: the first two, which are mirror images in binary, are the constants found in code; the third is the number found in Koopman's papers. In each case, one term is omitted.

  7. LEB128 - Wikipedia

    en.wikipedia.org/wiki/LEB128

    Then zero extend the number up to a multiple of 7 bits (such that if the number is non-zero, the most significant 7 bits are not all 0). Break the number up into groups of 7 bits. Output one encoded byte for each 7 bit group, from least significant to most significant group. Each byte will have the group in its 7 least significant bits.

  8. Hamming weight - Wikipedia

    en.wikipedia.org/wiki/Hamming_weight

    In Python, the int type has a bit_count() method to count the number of bits set. This functionality was introduced in Python 3.10, released in October 2021. [17] In Common Lisp, the function logcount, given a non-negative integer, returns the number of 1 bits. (For negative integers it returns the number of 0 bits in 2's complement notation.)

  9. Integer literal - Wikipedia

    en.wikipedia.org/wiki/Integer_literal

    In computer science, an integer literal is a kind of literal for an integer whose value is directly represented in source code.For example, in the assignment statement x = 1, the string 1 is an integer literal indicating the value 1, while in the statement x = 0x10 the string 0x10 is an integer literal indicating the value 16, which is represented by 10 in hexadecimal (indicated by the 0x prefix).