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'''
File Refiner
May 18 2015

This code is written to import a file, start to read the lines after a particular line 
and stop on a particular line. Finally results will convert to float number and write 
in a file.

Assuming the code and file.crd are in the same directory, and we want to miss first 5 lines
and extract 239 lines after that, one should type:

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#!/bin/bash

### find files with ".f" extension in the current directory
### copy them to directory "dirx"

ls -d -1 $PWD/*.f* | xargs -I{} cp "{}" dirx

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#!/usr/bin/env python

'''
Pure Python implementation of some numerical optimizers

Created on Jan 21, 2011

@author Jiahao Chen
'''

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python -c 'import multiprocessing as mp; print(mp.cpu_count())'

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# This removes files where paths are listed in a file named "file.dat". 
# for running, type:
# python3 script.py file.dat

import sys
import os
paths = sys.argv[1]
with open(paths) as f:
    for line in f:
        os.remove(line.rstrip('\n'))

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## Find all running jobs, take their JOB ID and delete them.

qstat | awk -F " " '{print $1}' | xargs qdel

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## All the credit goes to Eelco Hoogendoorn
## http://stackoverflow.com/a/21032099/3349443

def normalized(a, axis=-1, order=2):
  norms = np.atleast_1d(np.linalg.norm(a, order, axis))
  norms[norms==0] = 1
  return a / np.expand_dims(norms, axis)

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import codecs # to read html
from bs4 import BeautifulSoup # to parse html
import glob # to find all files with a pattern
pages = glob.glob("*.html")

for page in pages:
    # loop through all files
    name = page.split(".")[0]
    print (name)
    html=codecs.open(page, 'r') # read html