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Pickle (Python) Guido van Rossum: Python: De facto as PEPs: PEP 3154 – Pickle protocol version 4: Yes No Yes [5] No Yes No Property list: NeXT (creator) Apple (maintainer) ? Partial Public DTD for XML format: Yes a: Yes b: No ? Cocoa, CoreFoundation, OpenStep, GnuStep: No Protocol Buffers (protobuf) Google — No
Python does not come with any built-in bit array data type but there is a third-party package called bitarray. [9] Rust does not come with any built-in bit array data type but there are third-party packages such as fixedbitset. [10]
Stack buffer overflow is a type of the more general programming malfunction known as buffer overflow (or buffer overrun). [1] Overfilling a buffer on the stack is more likely to derail program execution than overfilling a buffer on the heap because the stack contains the return addresses for all active function calls.
Visualization of a software buffer overflow. Data is written into A, but is too large to fit within A, so it overflows into B.. In programming and information security, a buffer overflow or buffer overrun is an anomaly whereby a program writes data to a buffer beyond the buffer's allocated memory, overwriting adjacent memory locations.
In computer science, a data buffer (or just buffer) is a region of memory used to store data temporarily while it is being moved from one place to another. Typically, the data is stored in a buffer as it is retrieved from an input device (such as a microphone) or just before it is sent to an output device (such as speakers); however, a buffer may be used when data is moved between processes ...
A memory address a is said to be n-byte aligned when a is a multiple of n (where n is a power of 2). In this context, a byte is the smallest unit of memory access, i.e. each memory address specifies a different byte.
Protocol Buffers (Protobuf) is a free and open-source cross-platform data format used to serialize structured data. It is useful in developing programs that communicate with each other over a network or for storing data.
The stride syntax (nums[1:5:2]) was introduced in the second half of the 1990s, as a result of requests put forward by scientific users in the Python "matrix-SIG" (special interest group). [ 4 ] Slice semantics potentially differ per object; new semantics can be introduced when operator overloading the indexing operator.