def main():
# Commonly used data
# Use Parse module to import dataset prepare fetaures and
# vocabulary and test data
parse = p.ParseData()
sw = parse.stopWords("Stopwords.txt")
td = parse.test("TestData", sw)
vocabulary, classcount, documents, classes = parse.training(
"LargeIMDB", sw)
ln = len(classes["neg"])
lp = len(classes["pos"])
# Make length same on both sets of data
if ln > lp:
classes["neg"] = classes["neg"][0:lp]
if lp > ln:
classes["pos"] = classes["pos"][0:ln]
# Use Calc class to retrive term frequency of each class
calc = c.Calculate(vocabulary)
nf = calc.termFrequency(vocabulary, classes["neg"])
pf = calc.termFrequency(vocabulary, classes["pos"])
# Get term probability multinomial model formula
np = calc.termProbability(vocabulary, nf)
pp = calc.termProbability(vocabulary, pf)
# Get probablity for each class
ncp = calc.classProbability(documents, classcount["neg"])
pcp = calc.classProbability(documents, classcount["pos"])
negativeResults = []
postiveResults = []
correctn = 0
correctp = 0
# Test all knows negative test documents
for tst in td["neg"]:
negativeResults.append(
calc.classification(ncp, pcp, np, pp, td["neg"][tst]))
# Test all knows negative test documents
for tst in td["pos"]:
postiveResults.append(
calc.classification(ncp, pcp, np, pp, td["pos"][tst]))
for i in negativeResults:
if i == False:
correctn += 1
for i in postiveResults:
if i == True:
correctp += 1
negp = (correctn / len(td["neg"])) * 100
posp = (correctp / len(td["pos"])) * 100
acuracy = (negp + posp) / 2
print("documents", documents)
print("tests", len(td["neg"]) + len(td["pos"]))
print("nagative ", correctn, "/", len(td["neg"]))
print("postive ", correctp, "/", len(td["pos"]))
print(acuracy, "% accurate")
return
#!/usr/bin/env python3
import sys
import calculate
from math import *
operation = input("Operation: ")
calc = calculate.Calculate();
result = calc.execute(operation)
print(result)
import calculate
import inputfiles
import os
import outputfiles
def list_files(directory, extension):
return (f for f in os.listdir(directory) if f.endswith('.' + extension))
calculate_method = calculate.Calculate('template.inp',
'C:\\Users\\Public\\gamess-64\\',
'rungms.bat', '2018-R1-pgi-mkl 4 0')
main_dir = 'C:\\Users\\Public\\gamess-64\\CF3SO3_CH3CN_n\\'
files = files = list_files(main_dir, "txt")
for file in files:
name = os.path.splitext(file)[0]
sub_dir = os.path.join(main_dir, name)
try:
calculate_method.run(os.path.join(main_dir, file), sub_dir, name,
inputfiles.Method.DFT, '-1')
except:
pass
try:
calculate_method.run(os.path.join(main_dir, file), sub_dir, name,
inputfiles.Method.MP2, '-1')
except:
pass
import settings
import calculate
import results
import CommandErrorHandler
import info
import read
import DataWriter
import DataSender
guild_id = 740596566632562760
bot = commands.Bot(command_prefix='+')
@bot.event
async def on_ready():
await bot.change_presence(activity=discord.Game('Made by Shep and Peter!'))
print(f'Logged in as: {bot.user.name}')
print(f'With ID: {bot.user.id}')
bot.add_cog(settings.Settings(bot))
bot.add_cog(calculate.Calculate(bot))
bot.add_cog(results.Results(bot))
#bot.add_cog(CommandErrorHandler.CommandErrorHandler(bot))
bot.add_cog(info.Info(bot))
bot.add_cog(read.Read(bot))
bot.add_cog(DataSender.DataSender(bot, guild_id))
bot.add_cog(DataWriter.DataWriter(bot))
with open('work_bot_token.txt', 'r') as f:
bot.run(f.read().strip())
def mp2(exp):
return cl.Calculate(logging, exp, corr)
import calculate
height = 0.0
print"Welcome to your BMI calclulator!!"
print"Would you like to enter your weight in (K)ilogram or (p)ound"
weight_type = raw_input("> ")
weight = float(raw_input("Your weight: "))
print"Would you like to enter your height in (m)eter or (f)eet and inches or (I)nches"
height_type = raw_input("> ").upper()
if height_type == 'M':
height = float(raw_input("Your height in m: "))
calc = calculate.Calculate(height,weight,weight_type)
elif height_type == 'F':
feet_height = int(raw_input("Your height in (feet only): "))
inch_height = int(raw_input("Your height in (inches): "))
else:
inch_height = int(raw_input("Your height in (inches): "))
#height = float(raw_input("Your height in m: "))