Barbieinthe12dancingprincessesmovieinhindidownload
You can either download the whole video or do a subset of the video.
Subset command -skip number the number of seconds to skip (-s)
Downloads:
Download the whole video
-n:
Download only the first 10 seconds (-n 10)
Download only the last 10 seconds (-n 10)
Download only the first 20 seconds (-n 20)
Download only the last 20 seconds (-n 20)
Download only the first 30 seconds (-n 30)
Download only the last 30 seconds (-n 30)
Download only the first 40 seconds (-n 40)
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Download only the first 90 seconds (-n 90)
Download only the last 90 seconds (-n 90)
Download only the first 100 seconds (-n 100)
Download only the last 100 seconds (-n 100)
Downloads:
Download the whole video
-n:
Download only the first 10 seconds (-n 10)
Download only the last 10 seconds (-n 10)
Download only the first 20 seconds (-n 20)
Download only the last 20 seconds (-n 20)
Download only the first 30 seconds (-n 30)
Download only the last 30 seconds (-n 30)
Download only the first 40 seconds (-n 40)
Download only the last 40 seconds (-n 40)
Download only the first 50 seconds (-n 50)
Download only the last 50 seconds (-n 50)
Download only the first 60 seconds (-n 60)
Download only the last 60 seconds (-n 60)
Download only the first 70 seconds (-n 70)
Download only the last 70 seconds (-n 70)
Download only the first 80 seconds (-n 80)
Download only the last 80 seconds (-n 80)
Download only the first 90 seconds (-n 90)
Download only the last 90 seconds
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Python code
I am using sh1.split(‘ ‘) to split the string of each data and put it in an array. Then I use “for i in..” to add each element in the array.
import os
import urllib.request
from urllib.request import urlopen
import math
import array
import sys
import csv
import numpy as np
import random
import time
import html
# function that gets data from one of the urls
# the function gets the string from the page source code and converts to a list of lists
def get_data(url):
“””
Takes url and returns the strings in the page source in a list of lists
“””
time.sleep(0.2)
server_source_str = urlopen(url).read()
server_source_str = server_source_str.decode(“utf-8”)
server_source_list = server_source_str.split(‘ ‘)
return server_source_list
# returns a list of floats
def get_feature(data):
def str2num(item):
return float(item)
# returns list of floats
result = [item[0] for item in data]
return result
# data conversion – convert data (feature lists) to numpy array
def encode_data(data):
result = np.array(list(data))
return result
# data encoding – convert list of floats to array
def make_array(data):
result = np.array(list(data))
return result
# get server list
data = get_data(“”)
server_lists = data.split(”)
# get data from the server
data = get_data(“”)
features = []
feature_count = 0
for server in server_lists:
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» 6.12.2018 10:25
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barbieinthe12dancingprincessesmovieinhindidownload » 6.12.2018 10:25· LORENTZ COMPASS 3
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