hashlib – hashing algorithms

Avertissement

Though this MicroPython-based library may be available for use in some builds of CircuitPython, it is unsupported and its functionality may change in the future, perhaps significantly. As CircuitPython continues to develop, it may be changed to comply more closely with the corresponding standard Python library. You will likely need to change your code later if you rely on any non-standard functionality it currently provides.

This module implements a subset of the corresponding CPython module, as described below. For more information, refer to the original CPython documentation: hashlib.

This module implements binary data hashing algorithms. The exact inventory of available algorithms depends on a board. Among the algorithms which may be implemented:

• SHA256 - The current generation, modern hashing algorithm (of SHA2 series). It is suitable for cryptographically-secure purposes. Included in the MicroPython core and any board is recommended to provide this, unless it has particular code size constraints.

• SHA1 - A previous generation algorithm. Not recommended for new usages, but SHA1 is a part of number of Internet standards and existing applications, so boards targeting network connectivity and interoperability will try to provide this.

• MD5 - A legacy algorithm, not considered cryptographically secure. Only selected boards, targeting interoperability with legacy applications, will offer this.

Constructors

class hashlib.sha256([data])

Create an SHA256 hasher object and optionally feed data into it.

class hashlib.sha1([data])

Create an SHA1 hasher object and optionally feed data into it.

class hashlib.md5([data])

Create an MD5 hasher object and optionally feed data into it.

Methods

hash.update(data)

Feed more binary data into hash.

hash.digest()

Return hash for all data passed through hash, as a bytes object. After this method is called, more data cannot be fed into the hash any longer.

hash.hexdigest()

This method is NOT implemented. Use binascii.hexlify(hash.digest()) to achieve a similar effect.