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for f in `grep -o '\..*png' myreport.txt`; do cp $f ../Public/myproject/ ; done

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#!/usr/bin/env ruby
 
def e_sh(str)
	str.to_s.gsub(/(?=[^a-zA-Z0-9_.\/\-\x7F-\xFF\n])/n, '\\')
end
 
input = STDIN.read
 
footnotes = input.scan(/\(\*(.*?)\*\)/m)
# existing = input.scan(/^\[\^fn(\d+)\]: /i)

agmarrugo

#! /usr/bin/python
"""
brute force get title of web page
usage: getTitle.py url
Gordon Meyer January 1, 2013 
www.gordonmeyer.com
"""

# modules used
import urllib2, urlparse, string, os

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from numpy.fft import fft, ifft, fft2, ifft2, fftshift
import numpy as np

def fft_convolve2d(x,y):
    """ 2D convolution, using FFT"""
    fr = fft2(x)
    fr2 = fft2(np.flipud(np.fliplr(y)))
    m,n = fr.shape
    cc = np.real(ifft2(fr*fr2))
    cc = np.roll(cc, -m/2+1,axis=0)

agmarrugo

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Copyright INRIA
# Contributors: Nicolas P. Rougier ([email protected])
#
# DANA is a computing framework for the simulation of distributed,
# asynchronous, numerical and adaptive models.
#
# This software is governed by the CeCILL license under French law and abiding

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%% Datos iniciales
%
% Script para analizar el cambio de los esfuerzos normal y cortante 
% en un plano oblicuo bajo carga axial

A_0 = 1; % Area de la seccion transversal
P = 1; % Fuerza externa

% La variacion en theta desde un corte transversal (0º - 0 rad) 
% a un corte longitudinal (90º - pi/2 rad)

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theta = 60
beta = 18.02

// Omega en radianes
w = 1500*2*%pi/60


// Analisis de velocidades
//
// V_A = V_B + V_A/B

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# This Python file uses the following encoding: utf-8
import re, subprocess, os, shlex
from string import Template


class REMatcher(object):
    def __init__(self, matchstring):
        self.matchstring = matchstring

    def match(self,regexp):

agmarrugo

import csv

with open('papers.csv','r') as f:
    sheet = csv.reader(f)
    papers = []
    for row in sheet:
# Every row is a list, thus I concatenate all to form a single list
        papers = papers + row
# remove blank spaces       
    papers = filter(None,papers)

agmarrugo

#!/usr/bin/python

from datetime import date
import sys

now = date.today()

inputDate= sys.argv[1].split()
day = int(inputDate[0])
month = int(inputDate[1])