semvec/pypi-packages huggingface dataset:
mimir-cli 0.6.2
mimir cli application

mimir cli
=========


.. image:: https://badge.fury.io/py/mimir-cli.svg
   :target: https://badge.fury.io/py/mimir-cli
   :alt: PyPI version


Access Mimir platform from the cli

Installation
============

.. code-block:: bash

   pip install mimir-cli

Usage
=====

To use it:

.. code-block::

   $ mimir --help
xxx.scraper 0.94
scraper
Keywords: web

1)
algoritm - scrap all posts inline

2)
bin/scraper_worker

3) go to 3 folder

from imagehash import dhash
from iso8601 import parse_date
from PIL import Image as PIL_Image

cur_im1 = PIL_Image.open('/home/t/Desktop/videos/3/test.jpg')
cur_hash1 = str(dhash(cur_im1))

GO TO REDIS select 1
set 2f2b0b2b33232323 "380668111208"


4)
import os
import redis
path = '/home/t/Desktop/videos/images'
two_dir = os.listdir(path)
r = redis.StrictRedis(host="localhost", port=6379, charset="utf-8", decode_responses=True, db=0)
keys = r.keys('*')
redis_values_dict = dict()
for key in keys:
    redis_values_dict[r.get(key)] = None
count = 0
for image in two_dir:
    if image not in redis_values_dict:
    os.remove('{}{}{}'.format(path, '/', image ))
    count += 1


0.0
---

-  Initial version
ssw 0.4.1
Smith-Waterman Sequence Aligner
Keywords: bioinformatics,sequence alignment,smith-waterman,genomics,proteomics

ssw is a fast implementation of the Smith-Waterman algorithm, which
uses the Single-Instruction Multiple-Data (SIMD) instructions to parallelize
the algorithm at the CPU level.  This repository wraps the SSW library into an
easy to install, high-level python interface with no external library dependancies.

The SSW library is written by Mengyao Zhao and Wan-Ping Lee, and this python
interface is maintained by Giles Hall.