donkirkby

from mpi4py import MPI
import sys
import argparse

def main():
    parser = argparse.ArgumentParser()
    parser.add_argument('worker_count', type=int)
    args = parser.parse_args()

    mpi_info = MPI.Info.Create()

donkirkby

#! /usr/bin/env python

import argparse
import csv
from mpi4py import MPI
import logging
import time

def parseOptions(comm_world):
    parser = argparse.ArgumentParser(

donkirkby

from bz2 import BZ2File  # @UnresolvedImport
from datetime import datetime
from glob import glob
import itertools
import matplotlib
import matplotlib.pyplot as plt

MNEMOSYNE_ROOTS = ["/home/don/Dropbox/Mnemosyne_old/.mnemosyne/",
                   "/home/don/.local/share/mnemosyne/"]

donkirkby

set heading off;
set echo off;
set pages 999;
spool dropall.sql
select 'drop table ' || table_name || ';' from user_tables
union all
select 'drop sequence ' || sequence_name || ';' from user_sequences order by 1;
spool off

-- Remove header and footer from dropall.sql, then...

donkirkby

import random

class Markov(object):
	
	def __init__(self, open_file):
		self.cache = {}
		self.open_file = open_file
		self.words = self.file_to_words()
		self.word_size = len(self.words)
		self.database()