{"action":"opened","issue":{"url":"https://api.github.com/repos/eichstaedtPTB/PyDynamic/issues/8","repository_url":"https://api.github.com/repos/eichstaedtPTB/PyDynamic","labels_url":"https://api.github.com/repos/eichstaedtPTB/PyDynamic/issues/8/labels{/name}","comments_url":"https://api.github.com/repos/eichstaedtPTB/PyDynamic/issues/8/comments","events_url":"https://api.github.com/repos/eichstaedtPTB/PyDynamic/issues/8/events","html_url":"https://github.com/eichstaedtPTB/PyDynamic/issues/8","id":183659245,"number":8,"title":"Erroro in fit_sos of Devel Branch","user":{"login":"bruns01","id":22656737,"avatar_url":"https://avatars.githubusercontent.com/u/22656737?v=3","gravatar_id":"","url":"https://api.github.com/users/bruns01","html_url":"https://github.com/bruns01","followers_url":"https://api.github.com/users/bruns01/followers","following_url":"https://api.github.com/users/bruns01/following{/other_user}","gists_url":"https://api.github.com/users/bruns01/gists{/gist_id}","starred_url":"https://api.github.com/users/bruns01/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/bruns01/subscriptions","organizations_url":"https://api.github.com/users/bruns01/orgs","repos_url":"https://api.github.com/users/bruns01/repos","events_url":"https://api.github.com/users/bruns01/events{/privacy}","received_events_url":"https://api.github.com/users/bruns01/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2016-10-18T11:25:17Z","updated_at":"2016-10-18T11:25:17Z","closed_at":null,"body":"The call:\r\np,up = fit_sos((data['f']), (data['h']), UH=(data['uh']))\r\n\r\nleads to errors in np.linalg.solve (c.f. below).\r\n\r\ntype f: float64\r\nshape f: (161,)\r\ntype h: float64\r\nshape h: (322,)\r\ntype uh: float64\r\nshape uh: (322, 322)\r\n\r\n\r\nh,uh are results of DFT_deconv(...)\r\nf is result of GUM_DFTfreq()\r\n\r\nMessages:\r\n\r\n/home/bruns01/PTB/Python/Stoszauswertung_tdms/fit_transfer.py:60: RuntimeWarning: covariance is not positive-semidefinite.\r\n  HRI = np.random.multivariate_normal(H, UH, runs)\r\n/home/bruns01/PTB/Python/Stoszauswertung_tdms/fit_transfer.py:105: RuntimeWarning: divide by zero encountered in true_divide\r\n  iri = np.r_[np.real(1 / H), np.imag(1 / H)]\r\nTraceback (most recent call last):\r\n  File \"/home/bruns01/PTB/Python/Stoszauswertung_tdms/Shock_PyDynamic.py\", line 177, in Identify_total\r\n    self.Identify_singles()\r\n  File \"/home/bruns01/PTB/Python/Stoszauswertung_tdms/Shock_PyDynamic.py\", line 262, in Identify_singles\r\n    p,up = fit_sos((data['f']), (data['h']), UH=(data['uh']))\r\n  File \"/home/bruns01/PTB/Python/Stoszauswertung_tdms/fit_transfer.py\", line 112, in fit_sos\r\n    XVy = (X.T).dot(np.linalg.solve(W, iri))\r\n  File \"/usr/lib/python3/dist-packages/numpy/linalg/linalg.py\", line 384, in solve\r\n    r = gufunc(a, b, signature=signature, extobj=extobj)\r\nValueError: solve1: Input operand 1 has a mismatch in its core dimension 0, with gufunc signature (m,m),(m)->(m) (size 644 is different from 322)\r\n"}}
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