simonamdev

import os
import random
from tqdm import tqdm
from time import sleep

RANDOM_SEED = 42
random.seed(RANDOM_SEED)

datasets = os.listdir('./datasets')

simonamdev

import os
import random

from sklearn.model_selection import train_test_split

# LOCAL FILES
ROOT_DATASET_DIR = '/home/simon/Desktop/datasets'

print(os.listdir(ROOT_DATASET_DIR))

simonamdev

class OutputFileGenerator:
    def __init__(self, file_name='output.out'):
        self._file_name = file_name
        self._data = []

    def add_slice(self, row_a, column_a, row_b, column_b):
        self._data.append((row_a, column_a, row_b, column_b))

    def write_to_file(self):
        with open(self._file_name, 'w') as output_file:

simonamdev

import os

default_filename = 'example.in'

current_folder = os.path.dirname(os.path.realpath(__file__))
data_folder = os.path.join(current_folder, 'data')


class InputParser:
    def __init__(self, file_name=default_filename):

simonamdev

import os
import json

files = os.listdir(os.path.dirname(os.path.abspath(__file__)))
files = [file for file in files if not file == 'countguides.py']
print('File count: {}'.format(len(files)))

guide_purchase_amount = 0
total_spent = 0

simonamdev

import os
import subprocess

files = os.listdir(os.getcwd())

for file in files:
    if not file.endswith('.m4a'):
        continue
    subprocess.call(['ffmpeg', '-i', file, '-acodec', 'libmp3lame', '-ab', '320k', file.replace('.m4a', '.mp3')])

simonamdev

import praw
import OAuth2Util
import csv

version = '1.0'
user_agent = 'raspberrypi:sockb0t259:v{} (by /u/Always_SFW)'.format(version)
print('Initialising')
print('Connecting to Reddit')
r = praw.Reddit(user_agent=user_agent)
o = OAuth2Util.OAuth2Util(r, server_mode=True)