import subprocess

# scorehash predicted(librosa) human_eval
tuning_adjustments = """
1p64c.wav: 0.040000000000000036 _ -0.2
2RfYc.wav: -0.10999999999999999 _ 0
3RfYc.wav: -0.020000000000000018 _ -0.10
3zn4c.wav: 0.45999999999999996 _ -0.45
6Cbwc.wav: -0.4 _ 0.2
73bwc.wav: -0.21000000000000002 _ -0.10
7RfYc.wav: 0.050000000000000044 _ 0
7XTyc.wav: 0.14 _ -0.14
9RfYc.wav: -0.18 _ 0
9THwc.wav: -0.12 _ 0
BRfYc.wav: -0.15999999999999998 _ 0
D3fYc.wav: -0.18 _ -0.10
FRfYc.wav: 0.040000000000000036 _ -0.2
GRfYc-shaw-nuff.wav: -0.09999999999999998 _ -0.49
KRfYc.wav: -0.12 _ -0.12
LRfYc.wav: 0.050000000000000044 _ 0
N3fYc.wav: 0.050000000000000044 _ -0.2
N8swc.wav: -0.13 _ 0
Nqn4c.wav: 0.06000000000000005 _ 0
PRfYc.wav: 0.040000000000000036 _ -0.04
Pq3yc.wav: 0.31000000000000005 _ -0.36
Q6Ryc.wav: -0.18 _ 0
QRfYc.wav: -0.02999999999999997 _ 0
Qrqyc.wav: 0.16000000000000003 _ -0.2
Rln4c.wav: 0.20000000000000007 _ -0.2
S1swc.wav: 0.040000000000000036 _ -0.1
S5VYc.wav: -0.02999999999999997 _ 0
SRfYc.wav: -0.06 _ 0
V3fYc.wav: -0.16999999999999998 _ 0
WG3yc.wav: 0.040000000000000036 _ 0
WRfYc.wav: 0.040000000000000036 _ 0
WS64c.wav: 0.10999999999999999 _ -0.10
cXbwc.wav: 0.16000000000000003 _ -0.10
gRfYcw-segment.wav: 0.000 _ 0
lTXyc.wav: 0.28 _ -0.28
mRfYc.wav: 0.030000000000000027 _ -0.10
mTHyc.wav: 0.36 _ -0.36
myn4c.wav: 0.050000000000000044 _ 0
nRfYc.wav: -0.2 _ -0.05
nvJyc.wav: 0.18000000000000005 _ 0
rCn4c.wav: 0.050000000000000044 _ 0
rRfYc.wav: 0.14 _ -0.14
t66yc.wav: 0.010000000000000009 _ 0
tCfYc.wav: -0.19 _ 0
tRfYc.wav: -0.21000000000000002 _ 0
vRfYc.wav: -0.14 _ 0
wkTyc.wav: 0.030000000000000027 _ 0
wv3wc.wav: 0.010000000000000009 _ 0
xRfYc.wav: 0.040000000000000036 _ -0.10
yp3wc.wav: 0.030000000000000027 _ 0
"""

tuning_adjustments = tuning_adjustments.strip().split('\n')
tuning_adjustments = [x.split(': ') for x in tuning_adjustments]
tuning_adjustments = {x[0]: float(x[1].split(' _ ')[1]) for x in tuning_adjustments}

print(tuning_adjustments)

for k, v in tuning_adjustments.items():
    if v == 0:
        subprocess.run("cp " + k + " " + k.replace('.wav', '_tuned.wav'), shell=True, cwd='/Users/xavriley/Dropbox/PhD/Datasets/CharlieParkerAlignedScores/data/audio')
    else:
        subprocess.run("rubberband --fine --pitch " + str(v) + " " + k + " " + k.replace('.wav', '_tuned.wav'), shell=True, cwd='/Users/xavriley/Dropbox/PhD/Datasets/CharlieParkerAlignedScores/data/audio')