In [1]:
import sys
sys.path.append('../code/functions')

In [2]:
from pipeline import pipeline
from cluster import Cluster
from runPipeline import generateCSV
import numpy as np
import pickle

In [3]:
#Load the data
tp0 = pickle.load(open('../code/tests/synthDat/realDataRaw_t0.io', 'r'))[:7]
tp1 = pickle.load(open('../code/tests/synthDat/realDataRaw_t1.io', 'r'))[:7]

In [4]:
#run the pipeline on the data
output = pipeline([tp0, tp1])


[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49]
progress:  0.0
progress:  0.02
progress:  0.04
progress:  0.06
progress:  0.08
progress:  0.1
progress:  0.12
progress:  0.14
progress:  0.16
progress:  0.18
progress:  0.2
progress:  0.22
progress:  0.24
progress:  0.26
progress:  0.28
progress:  0.3
progress:  0.32
progress:  0.34
progress:  0.36
progress:  0.38
progress:  0.4
progress:  0.42
progress:  0.44
progress:  0.46
progress:  0.48
progress:  0.5
progress:  0.52
progress:  0.54
progress:  0.56
progress:  0.58
progress:  0.6
progress:  0.62
progress:  0.64
progress:  0.66
progress:  0.68
progress:  0.7
progress:  0.72
progress:  0.74
progress:  0.76
progress:  0.78
progress:  0.8
progress:  0.82
progress:  0.84
progress:  0.86
progress:  0.88
progress:  0.9
progress:  0.92
progress:  0.94
progress:  0.96
progress:  0.98

In [5]:
generateCSV(1, output, True)