harsgak

# coding: utf-8
# author: harsgak
# intent: input music videos in format ["Artist - Song.ext"] and export mp3 to dirs categorised by artist

import pathlib
import ffmpeg #pip install ffmpeg-python

# Get titles
path_current = pathlib.Path('.')
path_mv = path_current.joinpath('Music Videos')

harsgak

# coding: utf-8

# # Nearest Neighbour Network
# Generate the nearest neighbor network from given internode distances (defined on some metric)

# In[1]:


import networkx as nx

harsgak

def draw_nxgraph3D(G, pos=None, figtitle=None, ax=None, **kwargs):
    #pos is an Nx3 array (3D positions of sorted nodes)
    #layout is a dict with node keys and pos-vector(3D) values
    import numpy as np
    if pos is None:
        #generate some layout
        import networkx as nx
        layout = nx.spring_layout(G, dim=3)
        pos = np.array([layout[i] for i in sorted(G.nodes())])
    if pos.shape[1]==2:

harsgak

import requests
from collections import deque
import logging

FORMAT = '%(asctime)-15s %(funcName)s %(levelname)s %(message)s'
logging.basicConfig(format=FORMAT,level=logging.INFO, datefmt='%Y-%m-%d %H:%M:%S')


def pathFinder(s = 'source', t = 'sink', filters = []) :
    Q=deque([])

harsgak

from collections import deque

s="source"
t="sink"
Q=deque([])

Q.append(s)
while len(q) != 0:
    v=Q.popleft()
    for w in getlinks(v):