I’ve just updated to the latest version and installed all the updates. Since then, ccpn crashes every time, my Mac goes to sleep. That never happened with V3.1 that I had previously.
Hi,
sorry, but also surprised to hear this: all of us on the CCPN team have Macs of varying vintages and none of us have come across this.
What chip does your Mac contain (Intel, M1, M2) and which OSX version are you running?
Vicky
Hi Does the program produce an error trace in the terminal when it crashes? If so could you upload it here for send it to us at mailto:support@ccpn.ac.uk. Also is there is any special special series of events that leads to this problem…
regards
Gary
Hi Vicky, M1 chip and Sonoma OS.
No events leading to this. The program works fine, including when a screen server is on. But as soon as the Mac goes to sleep it crashes. Error is following:
Extension modules: PyQt5.QtCore, PyQt5.QtGui, PyQt5.QtWidgets, numpy.core._multiarray_umath, numpy.core._multiarray_tests, numpy.linalg._umath_linalg, numpy.fft._pocketfft_internal, numpy.random._common, numpy.random.bit_generator, numpy.random._bounded_integers, numpy.random._mt19937, numpy.random.mtrand, numpy.random._philox, numpy.random._pcg64, numpy.random._sfc64, numpy.random._generator, pandas._libs.tslibs.np_datetime, pandas._libs.tslibs.dtypes, pandas._libs.tslibs.base, pandas._libs.tslibs.nattype, pandas._libs.tslibs.timezones, pandas._libs.tslibs.tzconversion, pandas._libs.tslibs.ccalendar, pandas._libs.tslibs.fields, pandas._libs.tslibs.timedeltas, pandas._libs.tslibs.timestamps, pandas._libs.properties, pandas._libs.tslibs.offsets, pandas._libs.tslibs.parsing, pandas._libs.tslibs.conversion, pandas._libs.tslibs.period, pandas._libs.tslibs.vectorized, pandas._libs.ops_dispatch, pandas._libs.missing, pandas._libs.hashtable, pandas._libs.algos, pandas._libs.interval, pandas._libs.tslib, pandas._libs.lib, pandas._libs.hashing, pandas._libs.ops, pandas._libs.arrays, pandas._libs.index, pandas._libs.join, pandas._libs.sparse, pandas._libs.reduction, pandas._libs.indexing, pandas._libs.internals, pandas._libs.writers, pandas._libs.window.aggregations, pandas._libs.window.indexers, pandas._libs.reshape, pandas._libs.tslibs.strptime, pandas._libs.groupby, pandas._libs.testing, pandas._libs.parsers, pandas._libs.json, lxml._elementpath, lxml.etree, scipy._lib._ccallback_c, scipy.sparse._sparsetools, _csparsetools, scipy.sparse._csparsetools, scipy.sparse.linalg._isolve._iterative, scipy.linalg._fblas, scipy.linalg._flapack, scipy.linalg._cythonized_array_utils, scipy.linalg._flinalg, scipy.linalg._solve_toeplitz, scipy.linalg._matfuncs_sqrtm_triu, scipy.linalg.cython_lapack, scipy.linalg.cython_blas, scipy.linalg._matfuncs_expm, scipy.linalg._decomp_update, scipy.sparse.linalg._dsolve._superlu, scipy.sparse.linalg._eigen.arpack._arpack, scipy.sparse.csgraph._tools, scipy.sparse.csgraph._shortest_path, scipy.sparse.csgraph._traversal, scipy.sparse.csgraph._min_spanning_tree, scipy.sparse.csgraph._flow, scipy.sparse.csgraph._matching, scipy.sparse.csgraph._reordering, numba.core.typeconv._typeconv, numba._helperlib, numba._dynfunc, numba._dispatcher, numba.core.runtime._nrt_python, numba.np.ufunc._internal, numba.experimental.jitclass._box, ccpnc.peak.Peak, scipy.spatial._ckdtree, scipy._lib.messagestream, scipy.spatial._qhull, scipy.spatial._voronoi, scipy.spatial._distance_wrap, scipy.spatial._hausdorff, scipy.special._ufuncs_cxx, scipy.special._ufuncs, scipy.special._specfun, scipy.special._comb, scipy.special._ellip_harm_2, scipy.spatial.transform._rotation, h5py._errors, h5py.defs, h5py._objects, h5py.h5, h5py.h5r, h5py.utils, h5py.h5s, h5py.h5ac, h5py.h5p, h5py.h5t, h5py._conv, h5py.h5z, h5py._proxy, h5py.h5a, h5py.h5d, h5py.h5ds, h5py.h5g, h5py.h5i, h5py.h5f, h5py.h5fd, h5py.h5pl, h5py.h5o, h5py.h5l, h5py._selector, scipy.optimize._minpack2, scipy.optimize._group_columns, scipy.optimize._trlib._trlib, numpy.linalg.lapack_lite, scipy.optimize._lbfgsb, _moduleTNC, scipy.optimize._moduleTNC, scipy.optimize._cobyla, scipy.optimize._slsqp, scipy.optimize._minpack, scipy.optimize._lsq.givens_elimination, scipy.optimize._zeros, scipy.optimize.__nnls, scipy.optimize._highs.cython.src._highs_wrapper, scipy.optimize._highs._highs_wrapper, scipy.optimize._highs.cython.src._highs_constants, scipy.optimize._highs._highs_constants, scipy.linalg._interpolative, scipy.optimize._bglu_dense, scipy.optimize._lsap, scipy.optimize._direct, scipy.signal._sigtools, scipy._lib._uarray._uarray, scipy.signal._max_len_seq_inner, scipy.signal._upfirdn_apply, scipy.signal._spline, scipy.integrate._odepack, scipy.integrate._quadpack, scipy.integrate._vode, scipy.integrate._dop, scipy.integrate._lsoda, scipy.interpolate._fitpack, scipy.interpolate.dfitpack, scipy.interpolate._bspl, scipy.interpolate._ppoly, scipy.interpolate.interpnd, scipy.interpolate._rbfinterp_pythran, scipy.interpolate._rgi_cython, scipy.signal._sosfilt, scipy.ndimage._nd_image, _ni_label, scipy.ndimage._ni_label, scipy.signal._spectral, scipy.special.cython_special, scipy.stats._stats, scipy.stats.beta_ufunc, scipy.stats._boost.beta_ufunc, scipy.stats.binom_ufunc, scipy.stats._boost.binom_ufunc, scipy.stats.nbinom_ufunc, scipy.stats._boost.nbinom_ufunc, scipy.stats.hypergeom_ufunc, scipy.stats._boost.hypergeom_ufunc, scipy.stats.ncf_ufunc, scipy.stats._boost.ncf_ufunc, scipy.stats.ncx2_ufunc, scipy.stats._boost.ncx2_ufunc, scipy.stats.nct_ufunc, scipy.stats._boost.nct_ufunc, scipy.stats.skewnorm_ufunc, scipy.stats._boost.skewnorm_ufunc, scipy.stats.invgauss_ufunc, scipy.stats._boost.invgauss_ufunc, scipy.stats._biasedurn, scipy.stats._levy_stable.levyst, scipy.stats._stats_pythran, scipy.stats._statlib, scipy.stats._mvn, scipy.stats._sobol, scipy.stats._qmc_cy, scipy.stats._rcont.rcont, scipy.signal._peak_finding_utils, PyQt5.QtSvg, PyQt5.QtTest, OpenGL_accelerate.errorchecker, OpenGL_accelerate.wrapper, OpenGL_accelerate.formathandler, OpenGL_accelerate.arraydatatype, OpenGL_accelerate.latebind, OpenGL_accelerate.vbo, matplotlib._c_internal_utils, PIL._imaging, matplotlib._path, kiwisolver._cext, matplotlib._image, PyQt5.QtPrintSupport, PyQt5.QtNetwork, PyQt5.QtQml, PyQt5.QtBluetooth, PyQt5.QtDBus, PyQt5.QtDesigner, PyQt5.QtHelp, PyQt5.QtMacExtras, PyQt5.QtMultimedia, PyQt5.QtMultimediaWidgets, PyQt5.QtNfc, PyQt5.QtOpenGL, PyQt5.QtPositioning, PyQt5.QtLocation, PyQt5.QtQuick, PyQt5.QtQuick3D, PyQt5.QtQuickWidgets, PyQt5.QtRemoteObjects, PyQt5.QtSensors, PyQt5.QtSerialPort, PyQt5.QtSql, PyQt5.QtTextToSpeech, PyQt5.QtWebChannel, PyQt5.QtWebSockets, PyQt5.QtXml, PyQt5.QtXmlPatterns, reportlab.lib._rl_accel, reportlab.graphics._renderPM, zmq.backend.cython.context, zmq.backend.cython.message, zmq.backend.cython.socket, zmq.backend.cython._device, zmq.backend.cython._poll, zmq.backend.cython._proxy_steerable, zmq.backend.cython._version, zmq.backend.cython.error, zmq.backend.cython.utils, tornado.speedups, psutil._psutil_osx, psutil._psutil_posix, _pydevd_bundle.pydevd_cython, ccpnc.contour.Contourer2d, _cffi_backend, OpenGL_accelerate.numpy_formathandler, OpenGL_accelerate.nones_formathandler, ccpnc.clibrary.Clibrary (total: 258)
./analysisassign: line 54: 83995 Floating point exception: 8 “${CCPNMR_TOP_DIR}${CCPN_PYTHON}” -W ignore “${ENTRY}” “${args[@]}”
Thanks.
It sounds as though some people have occasionally had issues with their Macs sleeping in conjunction with using external screens (e.g. if you connect/disconnect an external screen while it is asleep). Could this perhaps be part of your issue?
Vicky
It is possible, I have Mac mini and two monitors connected to it.
Hi Gary,
Did you have a chance to look into the error? the analysis still crashes every time my Mac goes to sleep.