semvec/pypi-packages huggingface dataset:
pymd5 0.1
Recursively calculate and display MD5 file hashes for all files rooted in a directory.
License: MIT

pymd5
=====

Recursively calculate and display MD5 file hashes for all files rooted in a directory.

Description
-----------
Hashes are calculated for all files rooted in the given directory. Hashes and file paths (relative to given directory) are output to stdout, problem files reported on stderr. File paths are output in alphabetical order, and don't include the name of the top-level directory.

Output matches that of md5sum(1): "{md5-hash} \*{relative file path}", e.g: ::

    7df5132659452a47ec54aa7158995e21 *pymd5.py

Functions
---------
.. raw:: html

    <pre>
    <strong>calculate_hashes</strong>(dirpath)
        Calculate MD5 hashes for all files rooted in `dirpath`.
    </pre>

Command-line usage
------------------
.. raw:: html

    <pre><strong>pymd5</strong> [-h|--help] DIRPATH</pre>
Maat2 0.8
Maat is a extensible transformation and validation library for Python
License: MIT
Keywords: validation transformation typechecking dictionary

=========================
Maat
=========================

.. image:: https://travis-ci.org/Attumm/Maat.svg?branch=master
    :target: https://travis-ci.org/Attumm/Maat

Maat is a easy extensible transformation and validation library for Python.
Build for corner cases.

The project is named after the ancient egyption god Maat.
Her scale was used to weight the heart as described by book of the dead.

Since the scale is magical besides validating values it can transform them too.

Maat is an dictionary to dictionary tool, that is to say that from the input dictionary and validation dictionary
an new dictionary is created.
each value of dictionary to be validated is passed through their selected validator functions.
The result is an validated new dictionary.

Examples
----------------------------------

.. code-block:: python

    >>> import maat
    >>> user = {'name': 'John Doe'}
    >>> user_validation = {'name': {'validator': 'str'}}
    >>> maat.scale(user, user_validation)
    {'name': 'John Doe'}

More to come...