diff --git a/PySONIC/core/astim_titrations.log b/PySONIC/core/astim_titrations.log index 17fff35..4ba3793 100644 --- a/PySONIC/core/astim_titrations.log +++ b/PySONIC/core/astim_titrations.log @@ -1,97 +1,100 @@ titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=1.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) nan -titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=3.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) nan titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=2.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) nan +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=3.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) nan titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=4.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) nan titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=5.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) nan titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=6.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) nan titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=7.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) nan titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=8.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) nan -titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=24.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 75546.875 -titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=23.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 79843.75 +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=9.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 527197.2656249998 +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=10.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 405761.71874999977 +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=11.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 322412.10937499977 +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=12.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 262773.4375 +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=13.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 219375.0 +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=14.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 187109.375 +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=15.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 162304.6875 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=16.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 142773.4375 -titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=18.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 115625.0 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=17.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 127812.5 -titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=26.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 68515.625 +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=18.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 115625.0 +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=19.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 105585.9375 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=20.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 97421.875 +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=21.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 90585.9375 +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=22.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 84531.25 +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=23.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 79843.75 +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=24.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 75546.875 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=25.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 71562.5 -titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=19.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 105585.9375 -titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=14.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 187109.375 -titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=13.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 219375.0 +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=26.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 68515.625 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=27.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 65742.1875 -titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=12.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 262773.4375 -titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=21.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 90585.9375 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=28.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 63125.0 -titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=30.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 58710.9375 -titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=22.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 84531.25 -titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=15.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 162304.6875 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=29.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 60742.1875 -titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=32.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 55390.625 +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=30.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 58710.9375 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=31.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 56992.1875 +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=32.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 55390.625 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=33.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 53906.25 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=34.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 52460.9375 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=35.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 51171.875 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=36.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 49921.875 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=37.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 48984.375 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=38.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 48046.875 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=39.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 47148.4375 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=40.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 46328.125 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=41.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 45546.875 -titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=51.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 39921.875 -titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=53.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 39140.625 -titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=43.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 44140.625 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=42.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 44804.6875 -titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=52.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 39531.25 +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=43.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 44140.625 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=44.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 43398.4375 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=45.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 42773.4375 -titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=47.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 41640.625 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=46.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 42148.4375 +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=47.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 41640.625 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=48.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 41171.875 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=49.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 40742.1875 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=50.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 40312.5 +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=51.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 39921.875 +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=52.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 39531.25 +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=53.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 39140.625 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=54.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 38828.125 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=55.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 38437.5 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=56.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 38085.9375 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=57.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 37773.4375 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=58.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 37421.875 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=59.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 37109.375 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=60.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 36835.9375 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=61.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 36523.4375 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=62.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 36250.0 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=63.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 36015.625 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=64.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 35703.125 +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=65.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 35468.75 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=66.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 35234.375 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=67.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 35000.0 -titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=65.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 35468.75 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=68.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 34804.6875 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=69.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 34648.4375 -titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=71.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 34296.875 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=70.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 34492.1875 +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=71.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 34296.875 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=72.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 34140.625 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=73.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 33984.375 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=74.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 33828.125 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=75.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 33671.875 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=76.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 33515.625 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=77.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 33398.4375 -titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=79.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 33125.0 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=78.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 33242.1875 +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=79.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 33125.0 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=80.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 32968.75 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=81.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 32890.625 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=82.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 32734.375 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=83.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 32617.1875 -titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=85.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 32421.875 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=84.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 32578.125 +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=85.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 32421.875 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=86.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 32343.75 -titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=88.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 32187.5 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=87.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 32265.625 +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=88.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 32187.5 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=89.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 32109.375 -titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=91.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 31953.125 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=90.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 32031.25 +titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=91.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 31953.125 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=92.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 31953.125 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=93.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 31835.9375 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=94.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 31796.875 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=95.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 31718.75 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=96.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 31679.6875 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=97.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 31640.625 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=98.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 31640.625 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s, PRF=10.00Hz, DC=99.0%), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 31523.4375 titrate(NeuronalBilayerSonophore(32.0 nm, CorticalRS), AcousticDrive(f=500kHz), PulsedProtocol(tstim=1s), fs=1.0, method='sonic', qss_vars=None, xfunc=None, Arange=None) 31484.375 diff --git a/PySONIC/threshold.py b/PySONIC/threshold.py index 0e2916b..ca89798 100644 --- a/PySONIC/threshold.py +++ b/PySONIC/threshold.py @@ -1,235 +1,363 @@ # -*- coding: utf-8 -*- # @Author: Theo Lemaire # @Email: theo.lemaire@epfl.ch # @Date: 2019-11-28 16:42:50 # @Last Modified by: Theo Lemaire -# @Last Modified time: 2020-03-31 16:09:42 +# @Last Modified time: 2020-04-29 22:48:29 import numpy as np -from .utils import logger +from .utils import logger, isWithin class OutOfBoundsError(Exception): def __init__(self, bounds): msg = f'No threshold found within the [{bounds[0]:.2e} - {bounds[1]:.2e}] interval' super().__init__(msg) class MaxNIterations(Exception): - def __init__(self, max_nit, step, history): - msg = f'Maximum number of iterations ({max_nit}) reached during {step} step, history = {history}' + def __init__(self, max_nit, history): + msg = f'Maximum number of iterations ({max_nit}) reached, history = {history}' super().__init__(msg) -def getStartPoint(bounds, x=0.5, scale='lin'): - ''' Define a value located at a given relative distance between two bounds. - - :param bounds: lower and upper bound values - :param x: relative logarithmic distance, between 0 (lower bound) and 1 (upper bound) - :param scale: scale type between bounds ('lin' / 'log') - :return: scaled starting value - ''' - if scale == 'log': - bounds = np.log10(bounds) - x0 = (1 - x) * bounds[0] + x * bounds[1] - if scale == 'log': - x0 = np.power(10., x0) - return x0 - - -def threshold(feval, xbounds, x0=None, eps_thr=None, rel_eps_thr=1e-2, - max_nit=50, precheck=False, fbound=2, output_history=False): - ''' Determine the threshold satisfying a given condition within a continuous search interval, - using a binary search with initial preconditioning. - - :param feval: evaluation function returning whether condition is satisfied for a given value - :param xbounds: initial search interval for threshold - :param x0: initial evaluation value - :param eps_thr: maximum absolute error - :param rel_eps_thr: maximum relative error - :param precheck: boolean stating whether to perform an initial check - for the existence of a threshold within the interval - :param fbound: integer factor indicating the magnitude of the initial bounding procedure - :param output_history: boolean stating whether to return history of search procedure - :return: final threshold, or full search history +class Thresholder: + ''' Class used to determine the threshold satisfying a given condition within a + continuous search interval, using a binary search with initial preconditioning. ''' + + eps_machine = np.sqrt(np.finfo(float).eps) err_val = np.nan - # Define internal function to evaluate at the appropriate bound - def checkAtBound(): - xeval = lb if is_above[-1] else ub - if feval(xeval) == is_above[-1]: - raise OutOfBoundsError(xbounds) - - # If factor bounding selected, lower bound cannot be zero - if xbounds[0] == 0. and fbound is not None: - # If absolute threshold is provided -> use it to set lower bound - if eps_thr is not None: - xbounds = (eps_thr / 2, xbounds[1]) - # Otherwise, use a very small lower bound (machine epsilon) - else: - eps_machine = np.sqrt(np.finfo(float).eps) - xbounds = (eps_machine, xbounds[1]) - - # Set absolute threshold to infinity if not specified - if eps_thr is None: - eps_thr = np.inf - - # Set initial value to geometric mean of search interval if not specified - if x0 is None: - x0 = np.sqrt(xbounds[0] * xbounds[1]) - - # Adjust initial value to mid-point of search interval if set to zero - if x0 == 0.: - x0 = (xbounds[0] + xbounds[1]) / 2 - - # Initialize internal variables - lb, ub = xbounds # lower and upper bound - x = [x0] # history of evaluated values - is_above = [feval(x[-1])] # history of evaluation outcomes - - try: - # Pre-checking: evaluate at the interval bound in the direction given by the initial - # evaluation (above theshold -> lb, below threshold > ub) and return None - # if evaluation indicates no threshold within interval - if precheck: - checkAtBound() - - # Pre-bounding: refine search interval by either multiplying or dividing x - # by a specific integer factor k until target lies within an interval [x, kx] - if fbound is not None: - if 0 in xbounds: - logger.warning('factor bounding unavailable when 0 is in the search bounds') + def __init__(self, feval, xbounds, x0=None, eps_thr=None, rel_eps_thr=1e-2, + max_nit=50, precheck=False, fbound=2): + ''' Initialization. + + :param feval: evaluation function returning whether condition is satisfied + :param xbounds: initial search interval for threshold + :param x0: initial evaluation value + :param eps_thr: maximum absolute error + :param rel_eps_thr: maximum relative error + :param precheck: boolean stating whether to perform an initial check + for the existence of a threshold within the interval + :param fbound: integer factor indicating the magnitude of the initial bounding procedure + :return: final threshold, or full search history + ''' + self.feval = feval + self.xbounds = xbounds + self.rel_eps_thr = rel_eps_thr + self.eps_thr = eps_thr + self.max_nit = max_nit + self.fbound = fbound + self.precheck = precheck + self.x0 = x0 + + @property + def feval(self): + return self._feval + + @feval.setter + def feval(self, value): + if not callable(value): + raise ValueError('feval must be a callable object') + self._feval = value + + @property + def xbounds(self): + return self._xbounds + + @xbounds.setter + def xbounds(self, value): + if len(value) != 2: + raise ValueError('xbounds must be an iterbale of size 2') + if value[0] >= value[1]: + raise ValueError('lower bound must be smaller than upper bound') + self._xbounds = value + + @property + def fixed_lb(self): + return self.xbounds[0] + + @fixed_lb.setter + def fixed_lb(self, value): + self.xbounds = (value, self.fixed_ub) + + @property + def fixed_ub(self): + return self.xbounds[1] + + @fixed_ub.setter + def fixed_ub(self, value): + self.xbounds = (self.fixed_lb, value) + + @property + def x0(self): + return self._x0 + + @x0.setter + def x0(self, value): + if value is None: # If not specified, set to geometric mean of search interval + value = self.getStartPoint(self.xbounds, x=0.5, scale='log') + if value == 0.: # If zero, set to mid-point of search interval + value = self.getStartPoint(self.xbounds, x=0.5, scale='lin') + self._x0 = value + + @property + def eps_thr(self): + return self._eps_thr + + @eps_thr.setter + def eps_thr(self, value): + if value is None: # If not specified, set to infinity + value = np.inf + self._eps_thr = value + + @property + def rel_eps_thr(self): + return self._rel_eps_thr + + @rel_eps_thr.setter + def rel_eps_thr(self, value): + value = isWithin('rel_eps_thr', value, (0., 1.)) + self._rel_eps_thr = value + + @property + def max_nit(self): + return self._max_nit + + @max_nit.setter + def max_nit(self, value): + if not isinstance(value, int): + raise ValueError('max_nit must be of type int') + if value < 1: + raise ValueError('max_nit must be greater than 0') + self._max_nit = value + + @property + def precheck(self): + return self._precheck + + @precheck.setter + def precheck(self, value): + if not isinstance(value, bool): + raise ValueError('precheck must be of type bool') + self._precheck = value + + @property + def fbound(self): + return self._fbound + + @fbound.setter + def fbound(self, value): + if value is not None: + if value <= 1: + raise ValueError('bounding factor must be greater than 1') + # If fixed lower bound is zero, re-assign it to absolue threshold (if provided) + # or to machine epsilon + if self.fixed_lb == 0.: + self.fixed_lb = self.eps_thr / 2 if self.eps_thr < np.inf else self.eps_machine + # Search interval must span more than 2 times bounding factor + if self.fixed_ub / self.fixed_lb <= 2 * value: + raise ValueError(f'search interval too narrow for factor bounding') + self._fbound = value + + @property + def x(self): + return self._x_history[-1] + + @x.setter + def x(self, value): + if not hasattr(self, '_x_history'): + self._x_history = [] + self._x_history.append(value) + + @property + def x_history(self): + return np.array(self._x_history) + + @property + def is_above(self): + return self._eval_history[-1] + + @is_above.setter + def is_above(self, value): + if not hasattr(self, '_eval_history'): + self._eval_history = [] + self._eval_history.append(value) + + @property + def eval_history(self): + return np.array(self._eval_history) + + @property + def has_changed_eval(self): + return len(set(self._eval_history)) > 1 + + def eval(self): + self.is_above = self.feval(self.x) + isWithin('x', self.x, self.xbounds, raise_warning=False) + self.checkNiterations() + + @property + def nits(self): + return len(self._x_history) + + @property + def midpoint(self): + return (self.ub + self.lb) / 2 + + @property + def eff_thr(self): + return min(self.rel_eps_thr * self.lb, self.eps_thr) + + def hasConverged(self): + return np.abs(self.ub - self.lb) <= 2 * self.eff_thr + + @staticmethod + def getStartPoint(bounds, x=0.5, scale='lin'): + ''' Define a value located at a given relative distance between two bounds. + + :param bounds: lower and upper bound values + :param x: relative logarithmic distance, between 0 (lower bound) and 1 (upper bound) + :param scale: scale type between bounds ('lin' / 'log') + :return: scaled starting value + ''' + if scale == 'log': + bounds = np.log10(bounds) + x0 = (1 - x) * bounds[0] + x * bounds[1] + if scale == 'log': + x0 = np.power(10., x0) + return x0 + + def checkNiterations(self): + ''' Check that number of iterations does not exceed limit. ''' + if self.nits >= self.max_nit: + raise MaxNIterations(self.max_nit, self._x_history) + + def initBounds(self): + self.lb, self.ub = self.xbounds + + def checkAtBound(self): + ''' Evaluate at the appropriate bound based on last evaluation result, and + raise error if evaluation indicates no threshold within interval. ''' + last_eval = self.is_above + self.x = self.lb if self.is_above else self.ub + self.eval() + if self.is_above == last_eval: + raise OutOfBoundsError(self.xbounds) + + def preCondition(self): + ''' Refine search interval by either multiplying or dividing x by a specific integer + factor k until target lies within an interval [x, kx] + ''' + # If exact match between (k * x) and ub or between (x / k) and lb, adapt k slightly + if self.x * self.fbound == self.ub or self.lb * self.fbound == self.x: + self.fbound *= 0.99 + + # Iterate while upper bound is more than (k * x) or lower bound is less than (x / k) + while self.lb < self.x / self.fbound or self.ub > self.x * self.fbound: + # Refine interval and x based on feval result + if self.is_above: + self.ub = self.x + self.x = self.ub / self.fbound else: - # Assert compatibility of search interval with factor bounding - assert ub / lb > 2 * fbound, f'search interval too narrow for factor bounding' - - # If exact match between x * f and ub or between lb * f and x, adapt f slightly - if x[-1] * fbound == ub or lb * fbound == x[-1]: - fbound *= 0.99 - - # Carry on only if bounding factor greater than 1 - if fbound >= 1: - - # Iterate until both bounds have been updated - while lb == xbounds[0] or ub == xbounds[1]: - # Refine interval and x based on feval result - if is_above[-1]: - ub = x[-1] - x.append(ub / fbound) - else: - lb = x[-1] - x.append(fbound * lb) - - # If lower bound greater or equal to upper bound -> error - if lb >= ub: - raise OutOfBoundsError(xbounds) - - is_above.append(feval(x[-1])) - - if len(x) >= max_nit: - raise MaxNIterations(max_nit, 'pre-bounding', x) - - # Assert validity of refined interval - # assert ub / lb == fbound, f'restricted search interval should be of type [x, {fbound}x]' - - # Set x to interval mid-point and re-evaluate - x.append((ub + lb) / 2) - is_above.append(feval(x[-1])) - - # Binary search until search interval is smaller than most stringent threshold criterion - while not (np.abs(ub - lb) <= 2 * min(rel_eps_thr * lb, eps_thr)): + self.lb = self.x + self.x = self.fbound * self.lb + # If lower bound greater or equal to upper bound -> raise error + if self.lb >= self.ub: + raise OutOfBoundsError(self.xbounds) + # Evaluate + self.eval() + + # Set x to interval mid-point and re-evaluate + self.x = self.midpoint + self.eval() + + def binSearch(self): + ''' Binary search until interval is smaller than most stringent threshold criterion. ''' + while not self.hasConverged(): # Refine interval based on feval result - if is_above[-1]: - ub = x[-1] + if self.is_above: + self.ub = self.x else: - lb = x[-1] + self.lb = self.x # Set x to interval mid-point and re-evaluate - x.append((ub + lb) / 2) - is_above.append(feval(x[-1])) - - if len(x) >= max_nit: - raise MaxNIterations(max_nit, 'binary search', x) - - # If search direction has not changed along the procedure, evaluate at appropriate bound - if len(set(is_above)) == 1: - checkAtBound() - - # At this point, upper bound is necessarily above threshold - # and lower bound is necessarily below threshold + self.x = self.midpoint + self.eval() + def refine(self): + ''' Refine threshold once convergence has been reached. ''' # If last value is not above threshold - if not is_above[-1]: + if not self.is_above: # Set x to interval mid-point and re-evaluate (to ensure relative convergence) - lb = x[-1] - x.append((ub + lb) / 2) - is_above.append(feval(x[-1])) - # If last value still not above threshold, replace it by upper bound - if not is_above[-1]: - x[-1] = ub - is_above[-1] = True - - # If precheck was ON, update history a posteriori - if precheck: - if is_above[0]: - x1 = xbounds[0] - is_above1 = False - else: - x1 = xbounds[1] - is_above1 = True - x = [x[0], x1] + x[1:] - is_above = [is_above[0], is_above1] + is_above[1:] - - except (OutOfBoundsError, MaxNIterations) as err: - # If precheck was ON, update history a posteriori - if precheck: - if is_above[0]: - x1 = xbounds[0] - is_above1 = False - else: - x1 = xbounds[1] - is_above1 = True - x = [x[0], x1, x1] + x[1:] - is_above = [is_above[0], is_above1, is_above1] + is_above[1:] - - logger.error(err) - x[-1] = err_val + self.lb, self.x = self.x, self.midpoint + self.eval() + # If last value still not above threshold, evaluate at upper bound + if not self.is_above: + self.x = self.ub + self.eval() + + def run(self, output_history=False): + self.initBounds() + self.x = self.x0 + self.eval() + try: + if self.precheck: # Run pre-check at the approprite interval bound if required + self.checkAtBound() + self.initBounds() # Re-initialize bounds + if self.fbound is not None: # Perform initial factor bounding if required + self.preCondition() + self.binSearch() # Run binary search until convergence + if not self.has_changed_eval: # if feval has not changed output, evaluate at the bound + self.checkAtBound() + self.refine() # refine to make sure final value is above threshold + except (OutOfBoundsError, MaxNIterations) as err: # if error is raised, assign nan and log + logger.error(err) + self.x = self.err_val + + +def threshold(*args, output_history=False, **kwargs): + ''' Wrapper function around the Thresholder class. - # Conditional return + :param output_history: boolean stating whether to return history of search procedure + :return: final threshold, or full search history + ''' + th = Thresholder(*args, **kwargs) + th.run() if output_history: - return np.array(x), np.array(is_above) + return th.x_history, th.eval_history else: - return x[-1] + return th.x def titrate(model, drive, pp, **kwargs): ''' Use a binary search to determine the threshold amplitude needed to obtain neural excitation for a given duration, PRF and duty cycle. :param model: model object :param drive: unresolved drive object :param pp: pulsed protocol object :param xfunc: function determining whether condition is reached from simulation output :param Arange: search interval for electric current amplitude, iteratively refined :return: excitation amplitude (in drive units) ''' xfunc = kwargs.pop('xfunc', None) Arange = kwargs.pop('Arange', None) # Default output function if xfunc is None: xfunc = model.titrationFunc # Default amplitude interval if Arange is None: Arange = model.getArange(drive) return threshold( lambda x: xfunc(model.simulate(drive.updatedX(x), pp, **kwargs)[0]), Arange, x0=drive.xvar_initial, rel_eps_thr=drive.xvar_rel_thr, eps_thr=drive.xvar_thr, precheck=drive.xvar_precheck) diff --git a/PySONIC/utils.py b/PySONIC/utils.py index 0cd872f..0b4a321 100644 --- a/PySONIC/utils.py +++ b/PySONIC/utils.py @@ -1,984 +1,988 @@ # -*- coding: utf-8 -*- # @Author: Theo Lemaire # @Email: theo.lemaire@epfl.ch # @Date: 2016-09-19 22:30:46 # @Last Modified by: Theo Lemaire -# @Last Modified time: 2020-04-29 12:13:44 +# @Last Modified time: 2020-04-29 22:39:36 ''' Definition of generic utility functions used in other modules ''' import csv from functools import wraps import operator import time from inspect import signature import os from shutil import get_terminal_size import lockfile import math import pickle import json from tqdm import tqdm import logging import tkinter as tk from tkinter import filedialog import base64 import datetime import numpy as np from scipy.optimize import brentq from scipy import linalg import colorlog from pushbullet import Pushbullet # Package logger my_log_formatter = colorlog.ColoredFormatter( '%(log_color)s %(asctime)s %(message)s', datefmt='%d/%m/%Y %H:%M:%S:', reset=True, log_colors={ 'DEBUG': 'green', 'INFO': 'white', 'WARNING': 'yellow', 'ERROR': 'red', 'CRITICAL': 'red,bg_white', }, style='%') def setHandler(logger, handler): for h in logger.handlers: logger.removeHandler(h) logger.addHandler(handler) return logger def setLogger(name, formatter): handler = colorlog.StreamHandler() handler.setFormatter(formatter) logger = colorlog.getLogger(name) logger.addHandler(handler) return logger class TqdmHandler(logging.StreamHandler): def __init__(self, formatter): logging.StreamHandler.__init__(self) self.setFormatter(formatter) def emit(self, record): msg = self.format(record) tqdm.write(msg) logger = setLogger('PySONIC', my_log_formatter) def fillLine(text, char='-', totlength=None): ''' Surround a text with repetitions of a specific character in order to fill a line to a given total length. :param text: text to be surrounded :param char: surrounding character :param totlength: target number of characters in filled text line :return: filled text line ''' if totlength is None: totlength = get_terminal_size().columns - 1 ndashes = totlength - len(text) - 2 if ndashes < 2: return text else: nside = ndashes // 2 nleft, nright = nside, nside if ndashes % 2 == 1: nright += 1 return f'{char * nleft} {text} {char * nright}' # SI units prefixes si_prefixes = { 'y': 1e-24, # yocto 'z': 1e-21, # zepto 'a': 1e-18, # atto 'f': 1e-15, # femto 'p': 1e-12, # pico 'n': 1e-9, # nano 'u': 1e-6, # micro 'm': 1e-3, # mili '': 1e0, # None 'k': 1e3, # kilo 'M': 1e6, # mega 'G': 1e9, # giga 'T': 1e12, # tera 'P': 1e15, # peta 'E': 1e18, # exa 'Z': 1e21, # zetta 'Y': 1e24, # yotta } sorted_si_prefixes = sorted(si_prefixes.items(), key=operator.itemgetter(1)) def getSIpair(x, scale='lin'): ''' Get the correct SI factor and prefix for a floating point number. ''' if isIterable(x): # If iterable, get a representative number of the distribution x = np.asarray(x) x = x.prod()**(1.0 / x.size) if scale == 'log' else np.mean(x) if x == 0: return 1e0, '' else: vals = [tmp[1] for tmp in sorted_si_prefixes] ix = np.searchsorted(vals, np.abs(x)) - 1 if np.abs(x) == vals[ix + 1]: ix += 1 return vals[ix], sorted_si_prefixes[ix][0] def si_format(x, precision=0, space=' '): ''' Format a float according to the SI unit system, with the appropriate prefix letter. ''' if isinstance(x, float) or isinstance(x, int) or isinstance(x, np.float) or\ isinstance(x, np.int32) or isinstance(x, np.int64): factor, prefix = getSIpair(x) return f'{x / factor:.{precision}f}{space}{prefix}' elif isinstance(x, list) or isinstance(x, tuple): return [si_format(item, precision, space) for item in x] elif isinstance(x, np.ndarray) and x.ndim == 1: return [si_format(float(item), precision, space) for item in x] else: raise ValueError(f'cannot si_format {type(x)} objects') def pow10_format(number, precision=2): ''' Format a number in power of 10 notation. ''' sci_string = f'{number:.{precision}e}' value, exponent = sci_string.split("e") value, exponent = float(value), int(exponent) val_str = f'{value} * ' if value != 1. else '' return f'{val_str}10^{{{exponent}}}' def rmse(x1, x2, axis=None): ''' Compute the root mean square error between two 1D arrays ''' return np.sqrt(((x1 - x2) ** 2).mean(axis=axis)) def rsquared(x1, x2): ''' compute the R-squared coefficient between two 1D arrays ''' residuals = x1 - x2 ss_res = np.sum(residuals**2) ss_tot = np.sum((x1 - np.mean(x1))**2) return 1 - (ss_res / ss_tot) def Pressure2Intensity(p, rho=1075.0, c=1515.0): ''' Return the spatial peak, pulse average acoustic intensity (ISPPA) associated with the specified pressure amplitude. :param p: pressure amplitude (Pa) :param rho: medium density (kg/m3) :param c: speed of sound in medium (m/s) :return: spatial peak, pulse average acoustic intensity (W/m2) ''' return p**2 / (2 * rho * c) def Intensity2Pressure(I, rho=1075.0, c=1515.0): ''' Return the pressure amplitude associated with the specified spatial peak, pulse average acoustic intensity (ISPPA). :param I: spatial peak, pulse average acoustic intensity (W/m2) :param rho: medium density (kg/m3) :param c: speed of sound in medium (m/s) :return: pressure amplitude (Pa) ''' return np.sqrt(2 * rho * c * I) def convertPKL2JSON(): for pkl_filepath in OpenFilesDialog('pkl')[0]: logger.info(f'Processing {pkl_filepath} ...') json_filepath = f'{os.path.splitext(pkl_filepath)[0]}.json' with open(pkl_filepath, 'rb') as fpkl, open(json_filepath, 'w') as fjson: data = pickle.load(fpkl) json.dump(data, fjson, ensure_ascii=False, sort_keys=True, indent=4) logger.info('All done!') def OpenFilesDialog(filetype, dirname=''): ''' Open a FileOpenDialogBox to select one or multiple file. The default directory and file type are given. :param dirname: default directory :param filetype: default file type :return: tuple of full paths to the chosen filenames ''' root = tk.Tk() root.withdraw() filenames = filedialog.askopenfilenames( filetypes=[(filetype + " files", '.' + filetype)], initialdir=dirname ) if len(filenames) == 0: raise ValueError('no input file selected') par_dir = os.path.abspath(os.path.join(filenames[0], os.pardir)) return filenames, par_dir def selectDirDialog(title='Select directory'): ''' Open a dialog box to select a directory. :return: full path to selected directory ''' root = tk.Tk() root.withdraw() directory = filedialog.askdirectory(title=title) if directory == '': raise ValueError('no directory selected') return directory def SaveFileDialog(filename, dirname=None, ext=None): ''' Open a dialog box to save file. :param filename: filename :param dirname: initial directory :param ext: default extension :return: full path to the chosen filename ''' root = tk.Tk() root.withdraw() filename_out = filedialog.asksaveasfilename( defaultextension=ext, initialdir=dirname, initialfile=filename) if len(filename_out) == 0: raise ValueError('no output filepath selected') return filename_out def loadData(fpath, frequency=1): ''' Load dataframe and metadata dictionary from pickle file. ''' logger.info('Loading data from "%s"', os.path.basename(fpath)) with open(fpath, 'rb') as fh: frame = pickle.load(fh) df = frame['data'].iloc[::frequency] meta = frame['meta'] return df, meta def rescale(x, lb=None, ub=None, lb_new=0, ub_new=1): ''' Rescale a value to a specific interval by linear transformation. ''' if lb is None: lb = x.min() if ub is None: ub = x.max() xnorm = (x - lb) / (ub - lb) return xnorm * (ub_new - lb_new) + lb_new def expandRange(xmin, xmax, exp_factor=2): if xmin > xmax: raise ValueError('values must be provided in (min, max) order') xptp = xmax - xmin xmid = (xmin + xmax) / 2 xdev = xptp * exp_factor / 2 return (xmid - xdev, xmin + xdev) def isIterable(x): for t in [list, tuple, np.ndarray]: if isinstance(x, t): return True return False -def isWithin(name, val, bounds, rel_tol=1e-9): +def isWithin(name, val, bounds, rel_tol=1e-9, raise_warning=True): ''' Check if a floating point number is within an interval. If the value falls outside the interval, an error is raised. If the value falls just outside the interval due to rounding errors, the associated interval bound is returned. :param val: float value :param bounds: interval bounds (float tuple) :return: original or corrected value ''' if isIterable(val): - return np.array([isWithin(name, v, bounds, rel_tol) for v in val]) + return np.array([isWithin(name, v, bounds, rel_tol, raise_warning) for v in val]) if val >= bounds[0] and val <= bounds[1]: return val elif val < bounds[0] and math.isclose(val, bounds[0], rel_tol=rel_tol): - logger.warning('Rounding %s value (%s) to interval lower bound (%s)', name, val, bounds[0]) + if raise_warning: + logger.warning( + 'Rounding %s value (%s) to interval lower bound (%s)', name, val, bounds[0]) return bounds[0] elif val > bounds[1] and math.isclose(val, bounds[1], rel_tol=rel_tol): - logger.warning('Rounding %s value (%s) to interval upper bound (%s)', name, val, bounds[1]) + if raise_warning: + logger.warning( + 'Rounding %s value (%s) to interval upper bound (%s)', name, val, bounds[1]) return bounds[1] else: raise ValueError(f'{name} value ({val}) out of [{bounds[0]}, {bounds[1]}] interval') def getDistribution(xmin, xmax, nx, scale='lin'): if scale == 'log': xmin, xmax = np.log10(xmin), np.log10(xmax) return {'lin': np.linspace, 'log': np.logspace}[scale](xmin, xmax, nx) def getDistFromList(xlist): if not isinstance(xlist, list): raise TypeError('Input must be a list') if len(xlist) != 4: raise ValueError('List must contain exactly 4 arguments ([type, min, max, n])') scale = xlist[0] if scale not in ('log', 'lin'): raise ValueError('Unknown distribution type (must be "lin" or "log")') xmin, xmax = [float(x) for x in xlist[1:-1]] if xmin >= xmax: raise ValueError('Specified minimum higher or equal than specified maximum') nx = int(xlist[-1]) if nx < 2: raise ValueError('Specified number must be at least 2') return getDistribution(xmin, xmax, nx, scale=scale) def getIndex(container, value): ''' Return the index of a float / string value in a list / array :param container: list / 1D-array of elements :param value: value to search for :return: index of value (if found) ''' if isinstance(value, float): container = np.array(container) imatches = np.where(np.isclose(container, value, rtol=1e-9, atol=1e-16))[0] if len(imatches) == 0: raise ValueError(f'{value} not found in {container}') return imatches[0] elif isinstance(value, str): return container.index(value) def funcSig(func, args, kwargs): args_repr = [repr(a) for a in args] kwargs_repr = [f"{k}={v!r}" for k, v in kwargs.items()] return f'{func.__name__}({", ".join(args_repr + kwargs_repr)})' def debug(func): ''' Print the function signature and return value. ''' @wraps(func) def wrapper_debug(*args, **kwargs): print(f'Calling {funcSig(func, args, kwargs)}') value = func(*args, **kwargs) print(f"{func.__name__!r} returned {value!r}") return value return wrapper_debug def timer(func): ''' Monitor and return the runtime of the decorated function. ''' @wraps(func) def wrapper(*args, **kwargs): start_time = time.perf_counter() value = func(*args, **kwargs) end_time = time.perf_counter() run_time = end_time - start_time return value, run_time return wrapper def alignWithFuncDef(func, args, kwargs): ''' Align a set of provided positional and keyword arguments with the arguments signature in a specific function definition. :param func: function object :param args: list of provided positional arguments :param kwargs: dictionary of provided keyword arguments :return: 2-tuple with the modified arguments and ''' # Get positional and keyword arguments from function signature sig_params = {k: v for k, v in signature(func).parameters.items()} sig_args = list(filter(lambda x: x.default == x.empty, sig_params.values())) sig_kwargs = {k: v.default for k, v in sig_params.items() if v.default != v.empty} sig_nargs = len(sig_args) kwarg_keys = list(sig_kwargs.keys()) # Restrain provided positional arguments to those that are also positional in signature new_args = args[:sig_nargs] # Construct hybrid keyword arguments dictionary from: # - remaining positional arguments # - provided keyword arguments # - default keyword arguments new_kwargs = sig_kwargs for i, x in enumerate(args[sig_nargs:]): new_kwargs[kwarg_keys[i]] = x for k, v in kwargs.items(): new_kwargs[k] = v return new_args, new_kwargs def alignWithMethodDef(method, args, kwargs): args, kwargs = alignWithFuncDef(method, [None] + list(args), kwargs) return tuple(args[1:]), kwargs def logCache(fpath, delimiter='\t', out_type=float): ''' Add an extra IO memoization functionality to a function using file caching, to avoid repetitions of tedious computations with identical inputs. ''' def wrapper_with_args(func): @wraps(func) def wrapper(*args, **kwargs): # If function has history -> do not log if 'history' in kwargs: return func(*args, **kwargs) # Modify positional and keyword arguments to match function signature, if needed args, kwargs = alignWithFuncDef(func, args, kwargs) # Translate args and kwargs into string signature fsignature = funcSig(func, args, kwargs) # If entry present in log, return corresponding output if os.path.isfile(fpath): with open(fpath, 'r', newline='') as f: reader = csv.reader(f, delimiter=delimiter) for row in reader: if row[0] == fsignature: logger.debug(f'entry found in "{os.path.basename(fpath)}"') return out_type(row[1]) # Otherwise, compute output and log it into file before returning out = func(*args, **kwargs) lock = lockfile.FileLock(fpath) lock.acquire() with open(fpath, 'a', newline='') as csvfile: writer = csv.writer(csvfile, delimiter=delimiter) writer.writerow([fsignature, str(out)]) lock.release() return out return wrapper return wrapper_with_args def fileCache(root, fcode_func, ext='json'): def wrapper_with_args(func): @wraps(func) def wrapper(*args, **kwargs): # Get load and dump functions from file extension try: load_func = { 'json': json.load, 'pkl': pickle.load, 'csv': lambda f: np.loadtxt(f, delimiter=',') }[ext] dump_func = { 'json': json.dump, 'pkl': pickle.dump, 'csv': lambda x, f: np.savetxt(f, x, delimiter=',') }[ext] except KeyError: raise ValueError('Unknown file extension') # Get read and write mode (text or binary) from file extension mode = 'b' if ext == 'pkl' else '' # Get file path from root and function arguments, using fcode function if callable(fcode_func): fcode = fcode_func(*args) else: fcode = fcode_func fpath = os.path.join(os.path.abspath(root), f'{fcode}.{ext}') # If file exists, load output from it if os.path.isfile(fpath): logger.info(f'loading data from "{fpath}"') with open(fpath, 'r' + mode) as f: out = load_func(f) # Otherwise, execute function and create the file to dump the output else: logger.warning(f'reference data file not found: "{fpath}"') out = func(*args, **kwargs) logger.info(f'dumping data in "{fpath}"') lock = lockfile.FileLock(fpath) lock.acquire() with open(fpath, 'w' + mode) as f: dump_func(out, f) lock.release() return out return wrapper return wrapper_with_args def derivative(f, x, eps, method='central'): ''' Compute the difference formula for f'(x) with perturbation size eps. :param dfunc: derivatives function, taking an array of states and returning an array of derivatives :param x: states vector :param method: difference formula: 'forward', 'backward' or 'central' :param eps: perturbation vector (same size as states vector) :return: numerical approximation of the derivative around the fixed point ''' if isIterable(x): if not isIterable(eps) or len(eps) != len(x): raise ValueError('eps must be the same size as x') elif np.sum(eps != 0.) != 1: raise ValueError('eps must be zero-valued across all but one dimensions') eps_val = np.sum(eps) else: eps_val = eps if method == 'central': df = (f(x + eps) - f(x - eps)) / 2 elif method == 'forward': df = f(x + eps) - f(x) elif method == 'backward': df = f(x) - f(x - eps) else: raise ValueError("Method must be 'central', 'forward' or 'backward'.") return df / eps_val def jacobian(dfunc, x, rel_eps=None, abs_eps=None, method='central'): ''' Evaluate the Jacobian maatrix of a (time-invariant) system, given a states vector and derivatives function. :param dfunc: derivatives function, taking an array of n states and returning an array of n derivatives :param x: n-states vector :return: n-by-n square Jacobian matrix ''' if sum(e is not None for e in [abs_eps, rel_eps]) != 1: raise ValueError('one (and only one) of "rel_eps" or "abs_eps" parameters must be provided') # Determine vector size x = np.asarray(x) n = x.size # Initialize Jacobian matrix J = np.empty((n, n)) # Create epsilon vector if rel_eps is not None: mode = 'relative' eps_vec = rel_eps else: mode = 'absolute' eps_vec = abs_eps if not isIterable(eps_vec): eps_vec = np.array([eps_vec] * n) if mode == 'relative': eps = x * eps_vec else: eps = eps_vec # Perturb each state by epsilon on both sides, re-evaluate derivatives # and assemble Jacobian matrix ei = np.zeros(n) for i in range(n): ei[i] = 1 J[:, i] = derivative(dfunc, x, eps * ei, method=method) ei[i] = 0 return J def classifyFixedPoint(x, dfunc): ''' Characterize the stability of a fixed point by numerically evaluating its Jacobian matrix and evaluating the sign of the real part of its associated eigenvalues. :param x: n-states vector :param dfunc: derivatives function, taking an array of n states and returning an array of n derivatives ''' # Compute Jacobian numerically # print(f'x = {x}, dfunx(x) = {dfunc(x)}') eps_machine = np.sqrt(np.finfo(float).eps) J = jacobian(dfunc, x, rel_eps=eps_machine, method='forward') # Compute eigenvalues and eigenvectors eigvals, eigvecs = linalg.eig(J) logger.debug(f"eigenvalues = {[f'({x.real:.2e} + {x.imag:.2e}j)' for x in eigvals]}") # Determine fixed point stability based on eigenvalues is_neg_eigvals = eigvals.real < 0 if is_neg_eigvals.all(): # all real parts negative -> stable key = 'stable' elif is_neg_eigvals.any(): # both posivie and negative real parts -> saddle key = 'saddle' else: # all real parts positive -> unstable key = 'unstable' return eigvals, key def findModifiedEq(x0, dfunc, *args): ''' Find an equilibrium variable in a modified system by searching for its derivative root within an interval around its original equilibrium. :param x0: equilibrium value in original system. :param func: derivative function, taking the variable as first parameter. :param *args: remaining arguments needed for the derivative function. :return: variable equilibrium value in modified system. ''' is_iterable = [isIterable(arg) for arg in args] if any(is_iterable): if not all(is_iterable): raise ValueError('mix of iterables and non-iterables') lengths = [len(arg) for arg in args] if not all(n == lengths[0] for n in lengths): raise ValueError(f'inputs are not of the same size: {lengths}') n = lengths[0] res = [] for i in range(n): x = [arg[i] for arg in args] res.append(findModifiedEq(x0, dfunc, *x)) return np.array(res) else: return brentq(lambda x: dfunc(x, *args), x0 * 1e-4, x0 * 1e3, xtol=1e-16) def swapFirstLetterCase(s): if s[0].islower(): return s.capitalize() else: return s[0].lower() + s[1:] def getPow10(x, direction='up'): ''' Get the power of 10 that is closest to a number, in either direction("down" or "up"). ''' round_method = {'up': np.ceil, 'down': np.floor}[direction] return np.power(10, round_method(np.log10(x))) def rotAroundPoint2D(x, theta, p): ''' Rotate a 2D vector around a center point by a given angle. :param x: 2D coordinates vector :param theta: rotation angle (in rad) :param p: 2D center point coordinates :return: 2D rotated coordinates vector ''' n1, n2 = x.shape if n1 != 2: if n2 == 2: x = x.T else: raise ValueError('x should be a 2-by-n vector') # Rotation matrix R = np.array([ [np.cos(theta), -np.sin(theta)], [np.sin(theta), np.cos(theta)], ]) # Broadcast center point to input vector ptile = np.tile(p, (x.shape[1], 1)).T # Subtract, rotate and add return R.dot(x - ptile) + ptile def getKey(keyfile='pushbullet.key'): dir_path = os.path.dirname(os.path.realpath(__file__)) package_root = os.path.abspath(os.path.join(dir_path, os.pardir)) fpath = os.path.join(package_root, keyfile) if not os.path.isfile(fpath): raise FileNotFoundError('pushbullet API key file not found') with open(fpath) as f: encoded_key = f.readlines()[0] return base64.b64decode(str.encode(encoded_key)).decode() def sendPushNotification(msg): try: key = getKey() pb = Pushbullet(key) dt = datetime.datetime.now() s = dt.strftime('%Y-%m-%d %H:%M:%S') pb.push_note('Code Messenger', f'{s}\n{msg}') except FileNotFoundError: logger.error(f'Could not send push notification: "{msg}"') def alert(func): ''' Run a function, and send a push notification upon completion, or if an error is raised during its execution. ''' @wraps(func) def wrapper(*args, **kwargs): try: out = func(*args, **kwargs) sendPushNotification(f'completed "{func.__name__}" execution successfully') return out except BaseException as e: sendPushNotification(f'error during "{func.__name__}" execution: {e}') raise e return wrapper def sunflower(n, radius=1, alpha=1): ''' Generate a population of uniformly distributed 2D data points in a unit circle. :param n: number of data points :param alpha: coefficient determining evenness of the boundary :return: 2D matrix of Cartesian (x, y) positions ''' nbounds = np.round(alpha * np.sqrt(n)) # number of boundary points phi = (np.sqrt(5) + 1) / 2 # golden ratio k = np.arange(1, n + 1) # index vector theta = 2 * np.pi * k / phi**2 # angle vector r = np.sqrt((k - 1) / (n - nbounds - 1)) # radius vector r[r > 1] = 1 x = r * np.cos(theta) y = r * np.sin(theta) return radius * np.vstack((x, y)) def filecode(model, *args): ''' Generate file code given a specific combination of model input parameters. ''' # If meta dictionary was passed, generate inputs list from it if len(args) == 1 and isinstance(args[0], dict): meta = args[0].copy() if meta['simkey'] == 'ASTIM' and 'fs' not in meta: meta['fs'] = meta['model']['fs'] meta['method'] = meta['model']['method'] meta['qss_vars'] = None for k in ['simkey', 'model', 'tcomp', 'dt', 'atol']: if k in meta: del meta[k] args = list(meta.values()) # Otherwise, transform args tuple into list else: args = list(args) # If any argument is an iterable -> transform it to a continous string for i in range(len(args)): if isIterable(args[i]): args[i] = ''.join([str(x) for x in args[i]]) # Create file code by joining string-encoded inputs with underscores codes = model.filecodes(*args).values() return '_'.join([x for x in codes if x is not None]) def simAndSave(model, *args, **kwargs): ''' Simulate the model and save the results in a specific output directory. :param *args: list of arguments provided to the simulation function :param **kwargs: optional arguments dictionary :return: output filepath ''' # Extract output directory and overwrite boolean from keyword arguments. outputdir = kwargs.pop('outputdir', '.') overwrite = kwargs.pop('overwrite', True) # Set data and meta to None data, meta = None, None # Extract drive object from args drive, *other_args = args # If drive is searchable and not fully resolved if drive.is_searchable: if not drive.is_resolved: # Call simulate to perform titration out = model.simulate(*args) # If titration yields nothing -> no file produced -> return None if out is None: logger.warning('returning None') return None # Store data and meta data, meta = out # Update args list with resovled drive try: args = (meta['drive'], *other_args) except KeyError: args = (meta['source'], *other_args) # Check if a output file corresponding to sim inputs is found in the output directory # That check is performed prior to running the simulation, such that # it is not run if the file is present and overwrite is set ot false. fname = f'{model.filecode(*args)}.pkl' fpath = os.path.join(outputdir, fname) existing_file_msg = f'File "{fname}" already present in directory "{outputdir}"' existing_file = os.path.isfile(fpath) # If file exists and overwrite is set ot false -> return if existing_file and not overwrite: logger.warning(f'{existing_file_msg} -> preserving') return fpath # Run simulation if not already done (for titration cases) if data is None: data, meta = model.simulate(*args) # Raise warning if an existing file is overwritten if existing_file: logger.warning(f'{existing_file_msg} -> overwriting') # Save output file and return output filepath with open(fpath, 'wb') as fh: pickle.dump({'meta': meta, 'data': data}, fh) logger.debug('simulation data exported to "%s"', fpath) return fpath def moveItem(l, value, itarget): ''' Move a list item to a specific target index. :param l: list object :param value: value of the item to move :param itarget: target index :return: re-ordered list. ''' # Get absolute target index if itarget < 0: itarget += len(l) assert itarget < len(l), f'target index {itarget} exceeds list size ({len(l)})' # Get index corresponding to element and delete entry from list iref = l.index(value) new_l = l.copy() del new_l[iref] # Return re-organized list return new_l[:itarget] + [value] + new_l[itarget:] def gaussian(x, mu=0., sigma=1., A=1.): return A * np.exp(-((x - mu) / sigma)**2) def isPickable(obj): try: pickle.dumps(obj) except Exception: return False return True def resolveFuncArgs(func, *args, **kwargs): ''' Return a dictionary of positional and keyword arguments upon function call, adding defaults from simfunc signature if not provided at call time. ''' bound_args = signature(func).bind(*args, **kwargs) bound_args.apply_defaults() return dict(bound_args.arguments) def getMeta(model, simfunc, *args, **kwargs): ''' Construct an informative dictionary about the model and simulation parameters. ''' # Retrieve function call arguments args_dict = resolveFuncArgs(simfunc, model, *args, **kwargs) # Construct meta dictionary meta = {'simkey': model.simkey} for k, v in args_dict.items(): if k == 'self': meta['model'] = v.meta else: meta[k] = v return meta def bounds(arr): ''' Return the bounds or a numpy array / list. ''' return (np.nanmin(arr), np.nanmax(arr)) def addColumn(df, key, arr, preceding_key=None): ''' Add a new column to a dataframe, right after a specific column. ''' df[key] = arr if preceding_key is not None: cols = df.columns.tolist()[:-1] preceding_index = cols.index(preceding_key) df = df[cols[:preceding_index + 1] + [key] + cols[preceding_index + 1:]] return df def integerSuffix(n): return 'th' if 4 <= n % 100 <= 20 else {1: 'st', 2: 'nd', 3: 'rd'}.get(n % 10, 'th') def customStrftime(fmt, dt_obj): return dt_obj.strftime(fmt).replace('{S}', str(dt_obj.day) + integerSuffix(dt_obj.day)) def friendlyLogspace(xmin, xmax, bases=None): ''' Define a "friendly" logspace between two bounds. ''' if bases is None: bases = [1, 2, 5] bases = np.asarray(bases) bounds = np.array([xmin, xmax]) logbounds = np.log10(bounds) bounds_orders = np.floor(logbounds) orders = np.arange(bounds_orders[0], bounds_orders[1] + 1) factors = np.power(10., np.floor(orders)) seq = np.hstack([bases * f for f in factors]) if xmax > seq.max(): seq = np.hstack((seq, xmax)) seq = seq[np.logical_and(seq >= xmin, seq <= xmax)] if xmin not in seq: seq = np.hstack((xmin, seq)) if xmax not in seq: seq = np.hstack((seq, xmax)) return seq def differing(d1, d2, subdkey=None, diff=None): ''' Find differences in values across two dictionaries (recursively). :param d1: first dictionary :param d2: second dictionary :param subdkey: specific sub-dictionary attribute key for objects :param diff: existing diff list to append to :return: list of (key, value1, value2) tuples for each differing values ''' # Initilize diff list if diff is None: diff = [] # Check that the two dicts have the same structure if sorted(list(d1.keys())) != sorted(list(d2.keys())): raise ValueError('inconsistent inputs') # For each key - values triplet for k in d1.keys(): # If values are dicts themselves, loop recursively through them if isinstance(d1[k], dict): diff = differing(d1[k], d2[k], subdkey=subdkey, diff=diff) # If values are objects with a specific sub-dictionary attribute, # loop recursively through them elif hasattr(d1[k], subdkey): diff = differing(getattr(d1[k], subdkey), getattr(d2[k], subdkey), subdkey=subdkey, diff=diff) # Otherwise else: # If values differ, add the key - values triplet to the diff list if d1[k] != d2[k]: diff.append((k, d1[k], d2[k])) # Return the diff list return diff diff --git a/notebooks/threshold search procedure.ipynb b/notebooks/threshold search procedure.ipynb index f7caec2..1c7379a 100644 --- a/notebooks/threshold search procedure.ipynb +++ b/notebooks/threshold search procedure.ipynb @@ -1,649 +1,654 @@ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Threshold search procedures with asymmetric-cost evaluation functions \n", "\n", "## Rationale\n", "\n", "We wish to find the optimal iterative procedure to find an neuron's excitation threshold (i.e. stimulus intensity) for a specific stimulation protocol.\n", "\n", "At first glance, that problem looks well suited for a classic binary search procedure, with a few extra-requirements:\n", "- **efficient across a wide range of orders of magnitudes**: excitation thresholds can vary by several orders of magnitude depending on cell type and stimulus protocol. We need a method that can efficient find threshold for all these conditions\n", "- **guarantees bounded absolute and relative error**: the method must guarantee that computed thresholds are accurate across several orders of magnitude (i.e. relative accuracy), but also independently of the threshold value itself (i.e. absolute accuracy)\n", "- **avoids numerous supra-threshold evaluations**: in the context of neuron models, condition evaluation is performed by simulating the neural response to a stimulus at a particular intensity and checking for excitation. Such evaluations typically show an increase in computation time for active neural responses (i.e. for evaluations above the threshold). Hence, in order to reduce the overall computational cost of search procedures, we should minimize the number of supra-threshold evaluations.\n", "- **guarantees that the returned threshold satisfies the condition of excitation**: the search procedure can only approach the exact excitation threshold down to a given error margin. Hence, as the algorithm converges towards the target value, we need to make sure that it stops only if convergence is achieved AND the final value yields excitation. \n", "- **efficiently handles cases in which no threshold lies within the search interval**: in practice, we are often limited in the extent of the search interval we can provide. Hence, it is very possible that for some conditions, no excitation threshold exists within the predefined range. In such cases, we should (1) return an NaN value and (2) avoid numerous iterations." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Imports" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import logging\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", - "from PySONIC.utils import logger\n", + "from PySONIC.utils import logger, isWithin\n", "from PySONIC.threshold import threshold\n", + "from PySONIC.constants import *\n", "\n", "logger.setLevel(logging.INFO)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Evaluation function\n", "\n", "Let's design a function to assess the efficiency of a search procedure within a specific interval. It will run the search procedure for artificial evaluation functions with threshold values logarithmically space along the interval, and one additional out-of-bounds value on each side. For each target, the function will record:\n", "- the final computed threshold, along with the maximal evaluated value along the search procedure\n", "- the absolute and relative errors in the computed threshold\n", "- the number of function evaluations along the search procedure to reach convergence, along with the number of supra-threshold evaluations" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "def evaluateThreshold(xref, xbounds, x0, eps_thr, rel_eps_thr, precheck, fbound):\n", " ''' Evaluate the performance of the threshold finding function for a specific search interval,\n", " initial value, absolute and relative thresholds, and search criteria.\n", " ''' \n", " title = []\n", " if fbound is not None:\n", " title.append(f'bounding factor: {fbound}') \n", " if precheck:\n", " title.append('pre-check ON')\n", "\n", " # Create figure\n", " fig, axes = plt.subplots(4, 1, figsize=(8, 10))\n", " if len(title) > 0:\n", " axes[0].set_title(' - '.join(title))\n", " axes[-1].set_xlabel('target')\n", " axes[0].set_ylabel('value')\n", " axes[1].set_ylabel('abs. $\\epsilon$')\n", " axes[2].set_ylabel('rel. $\\epsilon$ (%)')\n", " axes[3].set_ylabel('# iterations')\n", " for i in [0, 1]:\n", " axes[i].set_yscale('log')\n", " axes[3].set_ylim(0, 50)\n", " for ax in axes:\n", " ax.set_xscale('log')\n", " ax.set_xlim(xref.min() / 2, xref.max() * 2)\n", " ax.axvline(xbounds[0], c='k', label='bounds')\n", " ax.axvline(xbounds[1], c='k')\n", " ax.axvline(x0, ls='--', c='k', label='initial value')\n", " if eps_thr is not None:\n", " axes[1].axhline(eps_thr, ls='--', c='g', label='absolute threshold')\n", " if rel_eps_thr is not None:\n", " axes[2].axhline(rel_eps_thr * 1e2, ls='--', c='g', label='relative threshold')\n", "\n", " # Run binary search for each random sample\n", " nx = len(xref)\n", " xout = np.zeros(nx)\n", " nit = np.zeros(nx)\n", " nit_supra = np.zeros(nx)\n", " xmax = np.zeros(nx)\n", " xnan = []\n", " for i, xr in enumerate(xref):\n", " x, is_above = threshold(\n", " lambda x: x >= xr, xbounds, x0=x0, eps_thr=eps_thr, rel_eps_thr=rel_eps_thr,\n", " precheck=precheck, fbound=fbound, output_history=True)\n", " if np.isnan(x[-1]):\n", " xnan.append(xr)\n", " xout[i] = x[-1] \n", " xmax[i] = np.nanmax(x)\n", " nit[i] = x.size\n", " nit_supra[i] = sum(x > xr)\n", "\n", " # Evaluate errors\n", " abs_err = np.abs(xout - xref)\n", " rel_err = abs_err / xref\n", "\n", " # Plot outputs\n", " axes[0].plot(xref, xout, label='final value')\n", " axes[0].plot(xref, xmax, label='max explored value')\n", " axes[1].plot(xref, abs_err)\n", " axes[2].plot(xref, rel_err * 1e2)\n", " axes[3].plot(xref, nit, label='overall')\n", " axes[3].plot(xref, nit_supra, label='supra-threshold')\n", "\n", " # Post-process figure\n", " axes[0].axhline(x[0], ls='--', c='k')\n", " for ax in axes:\n", " for i, xn in enumerate(xnan):\n", " ax.axvline(xn, ls='--', c='r', label='outliers' if i == 0 else None) \n", " box = ax.get_position()\n", " ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])\n", " ax.legend(loc='center left', bbox_to_anchor=(1, 0.5), frameon=False)\n", " for ax in axes[:-1]:\n", " ax.set_xticklabels([])\n", "\n", " return fig" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Generic case-study\n", "\n", "Let's define some benchmark parameters:\n", "- a very wide search interval spanning several (10) orders of magnitude\n", "- a 1% relative error threshold\n", "- an absolute error threshold at the geometric mean of the bounds of the search interval" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "xbounds = (1e-5, 1e5) # initial search interval\n", "rel_eps_thr = 1e-2 # relative error threshold\n", "eps_thr = np.sqrt(xbounds[0] * xbounds[1]) # absolute error threshold\n", "\n", "# evaluation points\n", "xref = np.logspace(*np.log10(np.array(xbounds)), 10000) \n", "xref[0] /= 2\n", "xref[-1] *= 2" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Naive approach\n", "\n", "We'll start with a very naive approach: standard binary search procedure, progressively refining the search interval with evaluation starting at the middle point (i.e. arithmetic mean) of the interval bounds" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - " 02/12/2019 19:48:49: No threshold found within the [1.00e-05 - 1.00e+05] interval\n", + " 29/04/2020 22:40:42: No threshold found within the [1.00e-05 - 1.00e+05] interval\n", "C:\\Users\\lemaire\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:50: RuntimeWarning: invalid value encountered in greater\n", - " 02/12/2019 19:48:50: No threshold found within the [1.00e-05 - 1.00e+05] interval\n" + " 29/04/2020 22:40:44: No threshold found within the [1.00e-05 - 1.00e+05] interval\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "x0 = np.mean(xbounds)\n", "precheck = False\n", "fbound = None\n", "fig = evaluateThreshold(xref, xbounds, x0, eps_thr, rel_eps_thr, precheck, fbound)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can make several observations:\n", "- the initial evaluation (arithmetic mean) falls quite high in the logarithmic scale of the search interval.\n", "- the maximal explored value is the initial value for most of the range, and can be quite high above the target value\n", "- the absolute error in computed threshold increases with the target value (as a result of the higher relative error threshold) until it reaches the absolute error threshold, at which points it flattens\n", "- the relative error in computed threshold follows a sawtooth profile with a of $2^n$ times the lower bound (staying below the specified threshold) until it the absolute error criterion, at which point it starts decreasing\n", "- the number of iterations is highest (up to 40+ iterations) for smallest thresholds (as a result of the high initial evaluation value being far away from the target), decreases for larger targets and then flattens (around 20-25 iterations) for larger target thresholds, once the absolute error criterion predominates. This global variation is modulated by short range fluctuations, that are caused by the need to return a value that satisfies the excitation condition.\n", "- overall, the number of supra-threshold evaluations is slightly smaller than the overall number of iterations (3-5 less). It is highest for the smallest targets, and decreases as the target value increases. Interestingly, it does not flatten for large targets, and thus becomes significantly smaller than the overall number of iterations.\n", "- a significant number of iterations is required to find outliers larger than the upper bound (about the same as for targets just below the upper bound). The situation is even worse for outliers smaller than the lower bound, requiring as many iterations as for the smallest targets in the interval, all of them being supra-threshold." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Objectives**:\n", "- decrease the max number of iterations (overall and supra-threshold)\n", "- decrease the the max explored value across the search interval\n", "- limit the number of iterations required to detect outliers" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Refined initial value\n", "\n", "As a first step, we can set the initial evaluation at the geometric mean of the the bounds of the search interval, in order to decrease the max log2-distance across the search range. " ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - " 02/12/2019 19:48:51: No threshold found within the [1.00e-05 - 1.00e+05] interval\n", + " 29/04/2020 22:40:45: No threshold found within the [1.00e-05 - 1.00e+05] interval\n", "C:\\Users\\lemaire\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:50: RuntimeWarning: invalid value encountered in greater\n", - " 02/12/2019 19:48:52: No threshold found within the [1.00e-05 - 1.00e+05] interval\n" + " 29/04/2020 22:40:46: No threshold found within the [1.00e-05 - 1.00e+05] interval\n" ] }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "x0 = np.sqrt(xbounds[0] * xbounds[1])\n", "precheck = False\n", "fbound = None\n", "fig = evaluateThreshold(xref, xbounds, x0, eps_thr, rel_eps_thr, precheck, fbound)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As we can see, the considerable shift in the initial value (decrease by several orders of magnitude) splits the logarithmic space more evenly. This has several consequences:\n", "- the maximum log2-distance to a target (the smallest value) is reduced, which **decreases the maximum number of iterations across the whole search range** (both overall and supra-threshold). \n", "- the **maximum explored value is reduced** as a result of this more even split (geometric mean $q$ for targets $x \\leq q$, half the upper bound $ub$ for targets $q \\leq x \\leq ub / 2$, and a neighbor of the final value for targets $x \\geq ub/2$).\n", "- the paradigm introduces a **sharp transition in the number of required iterations** (overall and supra-threshold) as the target crosses the initial value. Such a discontinuity should be avoided. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Pre-bounding\n", "\n", "Let's try another approach, so-called *pre-bounding*. Prior to starting the binary search, we perform another search in which the value is updated more drastically (multiplied or divided by a factor $f$, typically 2), until the upper bound effectively becomes $f$ times the lower bound. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Arithmetic mean\n", "Let's first try with the naive, arithmetic mean as initial evaluation value:" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - " 02/12/2019 19:48:53: No threshold found within the [1.00e-05 - 1.00e+05] interval\n", + " 29/04/2020 22:40:47: No threshold found within the [1.00e-05 - 1.00e+05] interval\n", "C:\\Users\\lemaire\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:50: RuntimeWarning: invalid value encountered in greater\n", - " 02/12/2019 19:48:54: No threshold found within the [1.00e-05 - 1.00e+05] interval\n" + " 29/04/2020 22:40:49: No threshold found within the [1.00e-05 - 1.00e+05] interval\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "x0 = np.mean(xbounds)\n", "precheck = False\n", "fbound = 2\n", "fig = evaluateThreshold(xref, xbounds, x0, eps_thr, rel_eps_thr, precheck, fbound)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Using the arithmetic mean as the initial value, the pre-bounding does not significantly improve the procedure's efficiency:\n", "- if anything, the max number of required iterations across the search range increases slightly\n", "- the number of required supra-threshold iterations stays similar\n", "- the maximum evaluated value is still way above the target in most cases" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Geometric mean\n", "Let's now try with the geometric mean as initial evaluation value, and compare the efficiency of different bounding factors:" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - " 02/12/2019 19:48:54: No threshold found within the [1.00e-05 - 1.00e+05] interval\n", + " 29/04/2020 22:40:50: No threshold found within the [1.00e-05 - 1.00e+05] interval\n", "C:\\Users\\lemaire\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:50: RuntimeWarning: invalid value encountered in greater\n", - " 02/12/2019 19:48:55: No threshold found within the [1.00e-05 - 1.00e+05] interval\n", - " 02/12/2019 19:48:55: No threshold found within the [1.00e-05 - 1.00e+05] interval\n", - " 02/12/2019 19:48:56: No threshold found within the [1.00e-05 - 1.00e+05] interval\n" + " 29/04/2020 22:40:51: No threshold found within the [1.00e-05 - 1.00e+05] interval\n", + " 29/04/2020 22:40:51: No threshold found within the [1.00e-05 - 1.00e+05] interval\n", + "C:\\Users\\lemaire\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:50: RuntimeWarning: invalid value encountered in greater\n", + " 29/04/2020 22:40:53: No threshold found within the [1.00e-05 - 1.00e+05] interval\n", + " 29/04/2020 22:40:53: No threshold found within the [1.00e-05 - 1.00e+05] interval\n", + "C:\\Users\\lemaire\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:50: RuntimeWarning: invalid value encountered in greater\n", + " 29/04/2020 22:40:54: No threshold found within the [1.00e-05 - 1.00e+05] interval\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "x0 = np.sqrt(xbounds[0] * xbounds[1])\n", "precheck = False\n", "for fbound in [2, 3, 4]:\n", " fig = evaluateThreshold(xref, xbounds, x0, eps_thr, rel_eps_thr, precheck, fbound)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As we can see, the combined use of geometric mean and pre-bounding has several positive effects:\n", "- for targets below the geometric mean, the profiles of max evaluation value and number of iterations (both overall and supra-threshold) are very similar.\n", "- **for targets above the geometric mean**, the overall number of iterations starts increasing, however the **number of supra-threshold iterations stays fairly low**.\n", "- there is **no sharp transition in number of iterations** as the target crosses the geometric mean \n", "\n", "Moreover, different bounding factors seem to give similar results in terms of number of iterations: the initial search takes less iterations to converge with higher $f$, but then yields a larger interval for the second, standard binary search. Notably, smaller bounding factors yield smaller maximal evaluated values. \n", "\n", "Hence, **the combination of initial evaluation at the geometric mean and interval pre-bounding with a factor 2 seems to yield the most efficient threshold search procedure across a wide search range**, with:\n", "- a decreased max number of supra-threshold iterations\n", "- a decrease in the the max explored value across the search interval\n", "\n", "However, **it still takes a significant amount of iterations to detect outliers.**\n", "\n", "**Moreover, this technique fails to converge in the following cases:**\n", "- **if the lower bound of the search is set to zero.**\n", "- **if the initial value is less than $f$ times the lower bound and the threshold is somewhere in between**\n", "- **if the initial value is more than $f$ times the upper bound and the threshold is somewhere in between**\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Pre-checking\n", "\n", "Let's add another check performed just after the initial evaluation, so-called *pre-checking*: the result of the first evaluation is used to perform another evaluation at the appropriate interval bound (lower bound if the first evaluation was positive, upper bound if it was negative). Cases in which this second evaluation matches the first one (i.e. lower bound also leading a positive evaluation or upper bound also leading a negative one) necessarily indicate that the target is out of bounds, hence an error is raised." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - " 02/12/2019 19:48:59: No threshold found within the [1.00e-05 - 1.00e+05] interval\n", + " 29/04/2020 22:40:56: No threshold found within the [1.00e-05 - 1.00e+05] interval\n", "C:\\Users\\lemaire\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:50: RuntimeWarning: invalid value encountered in greater\n", - " 02/12/2019 19:49:00: No threshold found within the [1.00e-05 - 1.00e+05] interval\n" + " 29/04/2020 22:40:58: No threshold found within the [1.00e-05 - 1.00e+05] interval\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "x0 = np.sqrt(xbounds[0] * xbounds[1])\n", "precheck = True\n", "fbound = 2\n", "fig = evaluateThreshold(xref, xbounds, x0, eps_thr, rel_eps_thr, precheck, fbound)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As we can see, the pre-checking step entails pros & cons: \n", "- drawbacks: it adds an extra evaluation for targets within the interval, and increases the maximal evaluated value for all targets above the initial evaluation value.\n", "- advantages: it decreases the number of evaluation to just 2 in order to find outliers. More importantly, only 1 supra-threshold evaluation is required for targets smaller than the lower bound (vs. 20+ without pre-checking)\n", "\n", "Hence, **pre-checking should be used for searches in which there is a significant probability of thresholds being outside the search interval.**" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Specific case-studies" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### E-STIM simulations\n", "\n", "E-STIM simulations entail a few specificities:\n", "- thresholds can vary by several orders of magnitude from neuron to neuron, hence the initial search interval upper bound must be set quite high.\n", "- consequently, thresholds can be deemed accurate within relative error of 1%, while the absolute error does not matter much.\n", "- supra-threshold evaluations are not necessarily computationally expensive, but they can lead to nonsense results if applied several orders of magnitude too high. However, the probability of outliers is quite low. Hence, we use pre-bounding and an initial evaluation value at 1 mA/m2, without pre-checking, in order minimize the number of supra-threshold evaluations" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - " 02/12/2019 19:49:01: No threshold found within the [1.49e-08 - 1.00e+05] interval\n", + " 29/04/2020 22:41:00: No threshold found within the [1.49e-08 - 1.00e+05] interval\n", "C:\\Users\\lemaire\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:50: RuntimeWarning: invalid value encountered in greater\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "xbounds = (0, 1e5) # initial search interval (mA/m2)\n", "rel_eps_thr = 1e-2 # relative error threshold\n", "eps_thr = None # no absolute error threshold\n", "precheck = False\n", "fbound = 2\n", "x0 = 1.0 # initial value (mA/m2)\n", "\n", "# evaluation points\n", "xref = np.logspace(*np.log10(np.array([(xbounds[1] - xbounds[0]) * 1e-3, xbounds[1]])), 10000) \n", "xref[0] /= 2\n", "xref[-1] *= 2\n", "\n", "fig = evaluateThreshold(xref, xbounds, x0, eps_thr, rel_eps_thr, precheck, fbound)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### A-STIM simulations\n", "\n", "A-STIM simulations entail a few specificities:\n", "- the search interval is always (0 - 600 kPa), hence we must adapt the algorithm to work with 0 as lower bound.\n", "- thresholds can be deemed accurate within an absolute error of 1 kPa, while the relative error does not matter much.\n", "- supra-threshold evaluations are very computationally expensive. Hence, we use pre-bounding in order minimize the number of supra-threshold evaluations.\n", "- the probability of outliers is quite high, hence , we use pre-checking to handle those efficiently.\n", "- the minimum threshold amplitude observed amongst different neuron types lies around 20-30 kPa. Hence, we use an initial evaluation value of 10 kPa in order to approach the threshold from below." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\lemaire\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:25: UserWarning: Attempted to set non-positive left xlim on a log-scaled axis.\n", "Invalid limit will be ignored.\n", - " 02/12/2019 19:49:02: No threshold found within the [5.00e-01 - 6.00e+02] interval\n", + " 29/04/2020 22:41:01: No threshold found within the [5.00e-02 - 6.00e+02] interval\n", "C:\\Users\\lemaire\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:50: RuntimeWarning: invalid value encountered in greater\n", - " 02/12/2019 19:49:03: No threshold found within the [5.00e-01 - 6.00e+02] interval\n" + " 29/04/2020 22:41:03: No threshold found within the [5.00e-02 - 6.00e+02] interval\n" ] }, { "data": { - "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ - "xbounds = (0, 600) # initial search interval (kPa)\n", - "rel_eps_thr = 1.0 # relative error threshold\n", - "eps_thr = 1e0 # absolute error threshold (kPa)\n", - "precheck = True\n", - "fbound = 2\n", - "x0 = 10. # initial value (kPa)\n", + "xbounds = (0, 600) # initial search interval (kPa)\n", + "x0 = ASTIM_AMP_INITIAL / 1e3 # initial value (kPa)\n", + "rel_eps_thr = ASTIM_REL_CONV_THR # relative error threshold\n", + "eps_thr = ASTIM_ABS_CONV_THR / 1e3 # absolute error threshold (kPa)\n", + "precheck = True # precheck enabled\n", + "fbound = 2 # standard bounding factor\n", "\n", "# evaluation points\n", "xref = np.logspace(*np.log10(np.array([(xbounds[1] - xbounds[0]) * 1e-3, xbounds[1]])), 10000) \n", "xref[0] -= 1\n", "xref[-1] += 1\n", "\n", "fig = evaluateThreshold(xref, xbounds, x0, eps_thr, rel_eps_thr, precheck, fbound)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Conclusions\n", "\n", "We established a robust method to search for excitation thresholds across various neuron types and stimulation modalities. This procedure:\n", "- works efficiently over both linear and logarithmic spaces, spanning over small and large numbers of orders of magnitude, with or without zero in the interval bounds\n", "- avoids numerous supra-threshold evaluations associated with a high computational cost\n", "- assesses convergence thanks to absolute and / or relative criteria \n", "- can detect outliers very efficiently if needed (e.g. in ASTIM case)\n", "- always returns a value satisfying the excitation condition (e.g. slightly above the approached threshold)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.3" } }, "nbformat": 4, "nbformat_minor": 4 }