Clay McLeod claymcleod

I hereby claim:

To claim this, I am signing this object:

	#!/bin/bash

	useage() {
	printf "\n\e[1;4mAscii Escape Code Helper Utility\e[m\n\n"
	printf " \e[1mUseage:\e[m colors.sh [-\|-b\|-f\|-bq\|-fq\|-?\|?] [start] [end] [step]\n\n"
	printf "The values for the first parameter may be one of the following:\n\n"
	printf " \e[1m-\e[m Will result in the default output.\n"
	printf " \e[1m-b\e[m This will display the 8 color version of this chart.\n"
	printf " \e[1m-f\e[m This will display the 256 color version of this chart using foreground colors.\n"
	printf " \e[1m-q\e[m This will display the 256 color version of this chart without the extra text.\n"

	import subprocess


	def cmd(line):
	complete_cmd = subprocess.run(
	line, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
	return {'stdout': complete_cmd.stdout, 'stderr': complete_cmd.stderr}


	print(cmd("echo 'hello, world'"))

	# Setup

	import os
	import sys
	from keras.models import Sequential
	from keras.layers.core import Dense, Dropout, Activation, Flatten
	from keras.layers.convolutional import Convolution2D, MaxPooling2D
	from keras.preprocessing.image import ImageDataGenerator
	from keras.layers.advanced_activations import Quorum
	from keras.datasets import mnist

	# Setup

	import os
	import sys
	from keras.models import Sequential
	from keras.layers.core import Dense, Dropout, Activation, Flatten
	from keras.layers.convolutional import Convolution2D, MaxPooling2D
	from keras.preprocessing.image import ImageDataGenerator
	from keras.layers.advanced_activations import Quorum
	from keras.datasets import cifar100

	import sys
	import numpy as np

	from keras.models import Sequential
	from keras.layers.core import Dense, Dropout, Activation, Flatten
	from keras.layers.convolutional import Convolution2D, MaxPooling2D
	from keras.layers.advanced_activations import Quorum
	from keras.datasets import mnist
	from keras.utils import np_utils
	from keras.activations import relu

	#! /usr/bin/env python
	# -- coding: utf-8 --
	#
	# Copyright © 2016 Clay L. McLeod <[email protected]>
	#
	# Distributed under terms of the MIT license.

	from __future__ import print_function

	import theano

	import sys,os
	import curses

	def draw_menu(stdscr):
	k = 0
	cursor_x = 0
	cursor_y = 0

	# Clear and refresh the screen for a blank canvas
	stdscr.clear()

	#! /usr/bin/env python
	# -- coding: utf-8 --
	#
	# This file presents an interface for interacting with the Playstation 4 Controller
	# in Python. Simply plug your PS4 controller into your computer using USB and run this
	# script!
	#
	# NOTE: I assume in this script that the only joystick plugged in is the PS4 controller.
	# if this is not the case, you will need to change the class accordingly.
	#

	import numpy as np
	import pandas as pd
	from sklearn.preprocessing import StandardScaler, LabelEncoder

	df = pd.read_csv('data.csv')
	df = df.fillna(0)

	for (_col, _dtype) in zip(df.columns, df.dtypes):
	_dtype_as_str = str(_dtype)
	if 'int' in _dtype_as_str or 'float' in _dtype_as_str: