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| """ | |
| A lot to look over here. | |
| This file sets in a directory contain | |
| ./cfdg_files ( your database and the binary cfdg file ALSO a list of CFDG files on your computer) | |
| ./cfdg_files/cfdgs/ ( here is where your *.cfdg files ate generated ) | |
| ./cfdg_files/images/ ( where you image files are generated ) | |
| Using the CFDG grammar/script inside the triple apostophies: | |
| It generates a file ( filename = "cfdg_files/cfdgs/learning005.cfgd" ) rename this to save new files. | |
| Then it saves the cfdg script in a SQLITE database. Then runs the the cfdg script saves and |
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| # ODD number are Code | |
| # Even numbers were created just generate an index file | |
| import sqlite3 | |
| def ViewGist(): | |
| database ="GISTstore/gist.db" | |
| conn = sqlite3.connect(database) | |
| c = conn.cursor() | |
| rowid = raw_input("ROWID : ") | |
| rowid =str(rowid) | |
| for row in c.execute('SELECT rowid, content, description, filename FROM gist \ |
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| """ | |
| Comparing entries in Snippets.txt by hashing the snippets | |
| I made a duplicate to text it. | |
| Hash the snippets then check set() s of the HASH for duplicates. | |
| Just playing with Python Works great. Snippets.txt is in my gists | |
| it is loaded with snippets and script. | |
| """ | |
| import hashlib | |
| import string | |
| Hash = [] |
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| Line No. :1 | |
| ROWID :1 | |
| delimiters = ['\n', ' ', ',', '.', '?', '!', ':', 'and_what_else_you_need'] | |
| words = content | |
| for delimiter in delimiters: | |
| new_words = [] | |
| for word in words: | |
| new_words += word.split(delimiter) | |
| words = new_words |
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| # https://github.com/amalzaga/python-opencv/blob/master/rgb-hsv.py | |
| # Creates a solid color image wich can be changed by using two sets | |
| # of trackbars RGB and HSV. Changing one affects the other | |
| # It is a practical way to better understanding of colorspaces. | |
| # | |
| # Written by Amador Alzaga | |
| import cv2 | |
| import numpy as np | |
| def nothing(x): |
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| """ | |
| Counts / compares the number of lines in two files. | |
| Usage: | |
| python countlines.py a.txt b.txt | |
| OR | |
| import countlines | |
| fname0 = 'a.txt' | |
| fname1 = 'b.txt' |
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| """ | |
| Compare two files: | |
| First check number of lines then number of characters | |
| Then print the two line by line one on top of the other. | |
| """ | |
| from time import sleep | |
| from multiprocessing import Process | |
| fname0 = 'a.txt' | |
| fname1 = 'b.txt' | |
| def basecompare(fname0,fname1): |
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| """Creates a name based on a url: | |
| USAGE: | |
| URL_local = "News---Somali-hijackings-after-five-year-lull_icc-ccs.org_.html" | |
| Ntitle(URL_local) | |
| If used as a module: | |
| import Beautihelp | |
| Beautihelp.Ntitle(URL_local) | |
| """ | |
| def Ntitle(URL_local, exten = -5, length= -17, NewExt = ".txt"): | |
| #removes the period |
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| """ | |
| Example: IBM Boulder, CO | |
| Address or Place of Interest :IBM Boulder, CO | |
| Returned: | |
| 7 -- lat: 40.0893174, | |
| 8 -- lng: -105.1981258}, | |
| 80 -- formatted_address: | |
| 81 -- 6300 Diagonal Hwy, Boulder, CO 80301, USA | |
| 83 -- establishment | |
| 84 -- point_of_interest |
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| #!/usr/local/bin/python | |
| #Author: JackNorthrup | |
| #Usage : python viewNlines.py data/co2.csv 5 | |
| import sys | |
| PATH= sys.argv[1] | |
| try: | |
| N = int(sys.argv[2]) | |
| except ValueError: | |
| print "path is to be followed by number of lines to read" | |
| sys.exit(1) |