lognflow 0.4.1

Log and Flow tracking made easy with Python

lognflow

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Log and Flow tracking made easy with Python. You can install it by:

.. code-block:: python pip install lognflow

A simple program to use it would be similar to the following:

.. code-block:: python from lognflow import lognflow import numpy as np vec = np.random.rand(100)

logger = lognflow('c:\\test\\')
logger('This is a test for lognflow and log_var')
logger.log_single('vec', vec)

The logviewer is also very useful.

.. code-block:: python from lognflow import logviewer

logged = logviewer('c:\\test\\some_log\')
vec = logged.get_variable('vec')

The printprogress makes a pretty nice progress bar.

.. code-block:: python from lognflow import printprogress

N = 100
pbar = printprogress(N)
for _ in range(N):
	# do_something()
	pbar()

In this package we use a folder on the HDD to generate files and folders in typical formats such as numpy npy and npz, png, ... to log. A log viewer is also availble to turn an already logged flow into variables. Obviously, it will read the folders and map them for you, which is something you could spend hours to do by yourself. Also there is the nicest progress bar, that you can easily understand and use or implement yourself when you have the time.

Looking at most logging packages online, you see that you need to spend a lot of time learning how to use them and realizing how they work. Especially when you have to deal with http servers and ... which will be a huge pain when working for companies who have their own HPC.

This is why lognflow is handy and straight forward.

Many tests are avialable in the tests directory.

• Free software: GNU General Public License v3
• Documentation: https://lognflow.readthedocs.io.

Features

• lognflow puts all the logs into a directory on your pc
• lognflow makes it easy to log text or simple plots.
• logviewer makes it easy to load variables or directories
• printprogress is one of the best progress bars in Python.

Credits ^^^^^^^^

This package was created with Cookiecutter_ and the audreyr/cookiecutter-pypackage_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter .. _audreyr/cookiecutter-pypackage: https://github.com/audreyr/cookiecutter-pypackage

======= History

0.1.0 (2022-11-16)

• First release on PyPI.

0.3.0 (2022-12-19)

• Very consistent and easy-to-handle interface

0.3.2 (2022-12-19)

• log your dictionary.