import anytree as at
import random as rm

# Generate a tree with node_count many nodes. Each has a number key that shows when it was made and a randomly selected color, red or white.
def random_tree(node_count):
    
    # Generates the list of nodes
    nodes = []
    for i in range(node_count):
        test = rm.randint(1,2)
        if test == 1:
            nodes.append(at.Node(str(i),color="white"))
        else:
            nodes.append(at.Node(str(i),color="red"))
    
    #Creates the various main branches
    for i in range(node_count):
        for j in range(i, len(nodes)):
            test = rm.randint(1,len(nodes))
            if test == 1 and nodes[j].parent == None and (not nodes[i] == nodes[j]):
                nodes[j].parent = nodes[i]
    
    #Collects all the main branches into a single tree with the first node being the root
    for i in range(1, node_count):
        if nodes[i].parent == None and (not nodes[i] == nodes[0]):
            nodes[i].parent = nodes[0]

    return nodes[0]

import subprocess   #for the praat calls
import os   #for ffmpeg and the pause call at the end
#Even if we wanted all videos being rendered asynchronously, we couldn't see progress or errors
import glob #for the ambiguous files
import tempfile
audioFileDirectory = 'Audio Files'
timeList = {}
fileList = glob.glob(audioFileDirectory + '\\*.wav')
pipeList = {}
for fileName in fileList:
    arglist = ['Praat.exe', '--run', 'crosscorrelateMatch.praat', 'zeussound.wav', fileName, "0" , "300"]
    print(' '.join(arglist))
    pipe = subprocess.Popen(arglist, stdout=subprocess.PIPE)
    pipeList[fileName[len(audioFileDirectory)+1:-4]] = pipe #+1 because of back slash, -4 because .wav
#for fileName, pipe in pipeList.items():
#    text = pipe.communicate()[0].decode('utf-8')
#    timeList[fileName] = float(text[::2])
for fileName, pipe in pipeList.items():
    if float(pipe.communicate()[0].decode('utf-8')[::2]) > .0003:    #.000166 is not a match, and .00073 is a perfect match. .00053 is a tested match
        arglist = ['Praat.exe', '--run', 'crosscorrelate.praat', 'zeussound.wav', audioFileDirectory + '\\' + fileName + '.wav', "0" , "300"]
        print(' '.join(arglist))
        text = subprocess.Popen(arglist, stdout=subprocess.PIPE).communicate()[0].decode('utf-8')
        timeList[fileName] = float(text[::2])
clipLength = 10
for fileName, time in timeList.items():
    arglist = ['ffmpeg', '-i', '"'+fileName+'.mp4"', '-ss', str(time-clipLength), '-t', str(clipLength*2), '-acodec', 'copy' , '-vcodec', 'copy', '"ZEUS'+ fileName + '.mp4"']
    print(' '.join(arglist))
    os.system(' '.join(arglist))
tempFile = tempfile.NamedTemporaryFile(delete=False)
for fileName in glob.glob('ZEUS*.mp4'):
    tempFile.write(("file '" + os.path.realpath(fileName) + "'\n").encode());
tempFile.seek(0)
print(tempFile.read())
tempFile.close()
arglist = ['ffmpeg', '-safe', '0', '-f', 'concat', '-i', '"'+tempFile.name+'"', '-c', 'copy', 'ZeusMontage.mp4']
print(' '.join(arglist))
os.system(' '.join(arglist))
os.unlink(tempFile.name)    #Delete the temp file
#print(timeList)
os.system('PAUSE')

# Python program for implementation of Bogo Sort
import random

# Sorts array a[0..n-1] using Bogo sort
def bogoSort(a):
	n = len(a)
	while (is_sorted(a)== False):
		shuffle(a)

# To check if array is sorted or not
def is_sorted(a):
	n = len(a)
	for i in range(0, n-1):
		if (a[i] > a[i+1] ):
			return False
	return True

# To generate permuatation of the array
def shuffle(a):
	n = len(a)
	for i in range (0,n):
		r = random.randint(0,n-1)
		a[i], a[r] = a[r], a[i]

# Driver code to test above
a = [3, 2, 4, 1, 0, 5]
bogoSort(a)
print("Sorted array :")
for i in range(len(a)):
	print ("%d" %a[i]),

import mysql.connector

mydb = mysql.connector.connect(
  host="localhost",
  user="yourusername",
  password="yourpassword"
)

mycursor = mydb.cursor()

mycursor.execute("CREATE DATABASE mydatabase")

from statistics import median, mean, mode

def print_stats(array):
  print(array)
  print("median =", median(array))
  print("mean   =", mean(array))
  print("mode   =", mode(array))
  print()

print_stats([1, 2, 3, 3, 4])
print_stats([1, 2, 3, 3])

# Python program for Plotting Fibonacci 
# spiral fractal using Turtle 
import turtle 
import math 
  
def fiboPlot(n): 
    a = 0
    b = 1
    square_a = a 
    square_b = b 
  
    # Setting the colour of the plotting pen to blue 
    x.pencolor("blue") 
  
    # Drawing the first square 
    x.forward(b * factor) 
    x.left(90) 
    x.forward(b * factor) 
    x.left(90) 
    x.forward(b * factor) 
    x.left(90) 
    x.forward(b * factor) 
  
    # Proceeding in the Fibonacci Series 
    temp = square_b 
    square_b = square_b + square_a 
    square_a = temp 
      
    # Drawing the rest of the squares 
    for i in range(1, n): 
        x.backward(square_a * factor) 
        x.right(90) 
        x.forward(square_b * factor) 
        x.left(90) 
        x.forward(square_b * factor) 
        x.left(90) 
        x.forward(square_b * factor) 
  
        # Proceeding in the Fibonacci Series 
        temp = square_b 
        square_b = square_b + square_a 
        square_a = temp 
  
    # Bringing the pen to starting point of the spiral plot 
    x.penup() 
    x.setposition(factor, 0) 
    x.seth(0) 
    x.pendown() 
  
    # Setting the colour of the plotting pen to red 
    x.pencolor("red") 
  
    # Fibonacci Spiral Plot 
    x.left(90) 
    for i in range(n): 
        print(b) 
        fdwd = math.pi * b * factor / 2
        fdwd /= 90
        for j in range(90): 
            x.forward(fdwd) 
            x.left(1) 
        temp = a 
        a = b 
        b = temp + b 
  
  
# Here 'factor' signifies the multiplicative  
# factor which expands or shrinks the scale 
# of the plot by a certain factor. 
factor = 1
  
# Taking Input for the number of  
# Iterations our Algorithm will run 
n = int(input('Enter the number of iterations (must be > 1): ')) 
  
# Plotting the Fibonacci Spiral Fractal  
# and printing the corresponding Fibonacci Number 
if n > 0: 
    print("Fibonacci series for", n, "elements :") 
    x = turtle.Turtle() 
    x.speed(100) 
    fiboPlot(n) 
    turtle.done() 
else: 
    print("Number of iterations must be > 0")