forked from IPKM/nmreval
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d8e5de6b7a
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5fd52a1a44
@ -69,7 +69,7 @@ class LogGaussian(Distribution):
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ret_val = _integration_parallel(_omega, _tau, sigma, _integrate_process_imag)
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ret_val = _integration_parallel(_omega, _tau, sigma, _integrate_process_imag)
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ret_val /= _omega[:, None]
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ret_val /= _omega[:, None]
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ret_val[_omega == 0, :] = tau[None, :] * np.exp(sigma**2 / 2)
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ret_val[_omega == 0, :] = _tau[None, :] * np.exp(sigma**2 / 2)
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return ret_val.squeeze()
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return ret_val.squeeze()
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