forked from IPKM/nmreval
T1+T2 calculation now always iterates over all args that can be from data
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@ -1176,21 +1176,23 @@ class UpperManagement(QtCore.QObject):
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_x = x1 = self.data[params[0]].x
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_x = x1 = self.data[params[0]].x
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x2 = opts['val2']
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x2 = opts['val2']
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sd = opts['spec_dens']
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sd = opts['spec_dens']
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sd_param = [self.data[p].y.real if isinstance(p, str) else p for p in opts['sd_param'][0]]
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sd_param = list(zip(*[self.data[p].y.real if isinstance(p, str) else [p]*len(_x) for p in opts['sd_param'][0]]))
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sd.convert(_x, *sd_param, from_=opts['tau_type'], to_='raw')
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relax = Relaxation()
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relax = Relaxation()
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relax.set_distribution(sd, parameter=sd_param, keywords=opts['sd_param'][1])
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relax.set_distribution(sd, keywords=opts['sd_param'][1])
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cp_param = [self.data[p].y.real if isinstance(p, str) else p for p in opts['cp_param'][0]]
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cp_param = list(zip(*[self.data[p].y.real if isinstance(p, str) else [p]*len(_x) for p in opts['cp_param'][0]]))
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relax.set_coupling(opts['coup'], parameter=cp_param, keywords=opts['cp_param'][1])
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# relax.set_coupling(opts['coup'], parameter=cp_param, keywords=opts['cp_param'][1])
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if opts['out'] == 't1':
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relax_func = relax.t1 if opts['out'] == 't1' else relax.t2
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y = relax.t1(x2, _x)
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y = np.zeros(_x.size)
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else:
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y = relax.t2(x2, _x)
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for i in range(_x.size):
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_x[i] = sd.convert(_x[i], *sd_param[i], from_=opts['tau_type'], to_='raw')
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relax.dist_parameter = sd_param[i]
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relax.set_coupling(opts['coup'], parameter=cp_param[i], keywords=opts['cp_param'][1])
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y[i] = relax_func(x2, _x[i])
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pts = Points(x1, y, name=sd.name)
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pts = Points(x1, y, name=sd.name)
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pts.meta.update(opts)
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pts.meta.update(opts)
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