tvboptim/__init__.py,sha256=0Tyu4ZMXO4MiFJ1unPTKm7GmDEY7ndwG-ah_NO7Og2M,260
tvboptim/execution.py,sha256=FxyxixGYHy0QpFbuHwyTG9F6DELa8KPyLtLmSzAbSUY,9081
tvboptim/data/__init__.py,sha256=FTgsHFOqUt-EA3hinsMSl2r_0CFK_NuMmjWJP0Eb9Z8,315
tvboptim/data/loaders.py,sha256=X7hxsu4RpoOaDfFHc3DWVwe0pU8zrHH_EIHPr2H7bQM,3048
tvboptim/experimental/__init__.py,sha256=0eGvQsgb42Jr6APLyrLSaGjCJ0z31-VzX8v02BI0pvE,485
tvboptim/experimental/network_dynamics/__init__.py,sha256=IRd7ZnGH4QI2o4vW-sus_Q0C-fNuKee79yHXrgebRvw,489
tvboptim/experimental/network_dynamics/result.py,sha256=zjSysqxh9N5H-yblyM4ri7NWkE9dN0L6HlQjYMsSUXs,2364
tvboptim/experimental/network_dynamics/solve.py,sha256=Hhc0Br-qnW5FMr43-E97ylqh-VDO_4JLZ3ZceJQJ06Y,42123
tvboptim/experimental/network_dynamics/core/__init__.py,sha256=YCtETnX9FE96kNEDS9cy1MLRqwLWOz5-vXhZ-kzHH6w,131
tvboptim/experimental/network_dynamics/core/bunch.py,sha256=DWEll-kUGMdL1X72DmAOIwisMhs2YPlDjpl7Pww3UOE,2101
tvboptim/experimental/network_dynamics/core/network.py,sha256=il7dy1BnUt7HP8P9SuUPntzbAv9WaWmDbws46xb3fCI,25452
tvboptim/experimental/network_dynamics/coupling/__init__.py,sha256=dEofhJEYGFZbSP6ex0Dq9ToVXAK6VMiSEyxDkXkOJtY,534
tvboptim/experimental/network_dynamics/coupling/base.py,sha256=4aWs50td0Fe8t9B7300h6aoXscs71WknFvp2vEkdhV8,40137
tvboptim/experimental/network_dynamics/coupling/linear.py,sha256=R0sbKopKTG3fS8yg6v9qcmn6LBTw_OVBfBgqKufKVHw,15336
tvboptim/experimental/network_dynamics/coupling/subspace.py,sha256=e1GpqhO1J5EDe8h5aN1n5aQ6zlI1qzgwmMIMEmZLUAc,19854
tvboptim/experimental/network_dynamics/coupling/tvb.py,sha256=SsWNF7V_crp3DEChs4wly6fjZy6_GqXgppTIjaQL-QI,7016
tvboptim/experimental/network_dynamics/dynamics/__init__.py,sha256=PkJco4VdyLQ8-CWRsammPLrbETtuGqJdqENTfQhK_zY,211
tvboptim/experimental/network_dynamics/dynamics/base.py,sha256=2MDutjZ7aw6-ii-RItbQRhHHZb6sNl6ELRDjELjPdjM,20468
tvboptim/experimental/network_dynamics/dynamics/lorenz.py,sha256=9h-lU1r6J2UDK0G9I0m9CTUSIoXpwnX3psFwb2ljAGM,6207
tvboptim/experimental/network_dynamics/dynamics/tvb/__init__.py,sha256=x5-wKhSsaJsZmf259-4iFLIreWSANnZMZl2i7PuG2PY,757
tvboptim/experimental/network_dynamics/dynamics/tvb/coombes_byrne.py,sha256=un5iHSVTs3vOdNGR1hDjwqdiPi9akqBXVcaPmcgP3g8,4738
tvboptim/experimental/network_dynamics/dynamics/tvb/epileptor.py,sha256=6Vcac7oPMxz1VPC1gY02azy7gmwFOEUCyahZlzKT-ps,7371
tvboptim/experimental/network_dynamics/dynamics/tvb/generic_2d_oscillator.py,sha256=v39Qe5BEBYC-LfLmDDGzkwDieEKMD9T2yo5hiDQaVZA,4972
tvboptim/experimental/network_dynamics/dynamics/tvb/jansen_rit.py,sha256=aA_eMfI6U-WP3FpFJsAlLCkFmYYv7Xftfg5KJ1WI_r0,5453
tvboptim/experimental/network_dynamics/dynamics/tvb/kuramoto.py,sha256=339OY_E_U60t4MD6Uh9TonCg9Ao_FH00WJck4SYd4eQ,3753
tvboptim/experimental/network_dynamics/dynamics/tvb/larter_breakspear.py,sha256=Fno03vSVOULrIF3D0IMX4s7McEdI3ID7GrEmm2Pss4M,8005
tvboptim/experimental/network_dynamics/dynamics/tvb/linear.py,sha256=YnJsHa1sleU5z54GYgmUwCvajUG0LZAwsSAyA-Abhmc,3196
tvboptim/experimental/network_dynamics/dynamics/tvb/montbrio_pazo_roxin.py,sha256=z2mUPu3l-k2wuQbqWrcB8X_1M1RtTb0K9ymyXoY6C9E,4485
tvboptim/experimental/network_dynamics/dynamics/tvb/sup_hopf.py,sha256=MFKQbr9q-y5uddVqlOHKiB_Fmy-EHFdeu_vRiyx1lrc,4225
tvboptim/experimental/network_dynamics/dynamics/tvb/wilson_cowan.py,sha256=H7Ion8kXXVh3rizI7oOUnldIlVfKr_rcWBrUIl3eH5c,7280
tvboptim/experimental/network_dynamics/dynamics/tvb/wong_wang.py,sha256=ea1izUTJtktW4M-C4ObkJ4DoJJoU5TXaRuLL96tooeM,3905
tvboptim/experimental/network_dynamics/dynamics/tvb/wong_wang_exc_inh.py,sha256=mUpWQMBOK6eMOrEdPxy2L4qGS6sUB3JZQfau-5UqcLo,6141
tvboptim/experimental/network_dynamics/external_input/__init__.py,sha256=iKHihteqrtCg8thnFAmOzqyGetgQhNudW7XKIGmozn8,540
tvboptim/experimental/network_dynamics/external_input/base.py,sha256=nowcd7W-iZcqITFwtw63ch8a_PfpRPCNDXcu3Zm4cdw,5421
tvboptim/experimental/network_dynamics/external_input/data.py,sha256=nc3AuExPOHPFKVTzStD5xCGNUe9im1PXbki5v9s722U,6792
tvboptim/experimental/network_dynamics/external_input/parametric.py,sha256=0hZgjYR9HMmHH8BrjXq68Rt_zO6rbWjjrLTgFF2hwV0,8053
tvboptim/experimental/network_dynamics/graph/__init__.py,sha256=wZPnlsf8DRyM-PvL7IuToVKbTt0hJhZgHysamIAXQso,322
tvboptim/experimental/network_dynamics/graph/base.py,sha256=DyMdPEgyLmLnAcQdphtl2MFBeKKsFXm3lKliaTQSN7s,24295
tvboptim/experimental/network_dynamics/graph/sparse.py,sha256=oAmb1cg2X8z1grT9hYbWXeGSDXvoSZLDoIKEGjVWkJU,33159
tvboptim/experimental/network_dynamics/graph/utils.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
tvboptim/experimental/network_dynamics/noise/__init__.py,sha256=8g8l6HuAAd5EkRE-Pr1Qyqx9DWVoMOKdama-BDKdq80,224
tvboptim/experimental/network_dynamics/noise/base.py,sha256=iHbSatEfmIELBXEYc7F9VvVpMr_Rz6B6u2tidFZaboY,5968
tvboptim/experimental/network_dynamics/noise/gaussian.py,sha256=4km6oniuDWFj1lV60CLtyIJOqeNYS6rHoYqP3WorhY8,2455
tvboptim/experimental/network_dynamics/solvers/__init__.py,sha256=Q4GC-U3ADLOvZvNgBw3WF1qMKzn6BE4_iUbGjwboGy0,338
tvboptim/experimental/network_dynamics/solvers/base.py,sha256=9J-KOnlrVuF78wlb37bWOOHLlFwuF__8cY9zpSTMXw8,1115
tvboptim/experimental/network_dynamics/solvers/diffrax.py,sha256=afaysoUAllbTbFW3BsVMoVOUTPWudDLoGqBrYfrImg8,2269
tvboptim/experimental/network_dynamics/solvers/native.py,sha256=j3lRslnbcBFZF2jCcnVf3YuuDtefC1mo_Ry5jcxrS8Y,10822
tvboptim/experimental/network_dynamics/utils/__init__.py,sha256=8Ibd6C_TCxK607pUVQ_xaEzIKW8vj-D737VhAGqljRE,98
tvboptim/experimental/network_dynamics/utils/printer.py,sha256=ZQeXS-cNqp-MUq_1qWk-1jdBVPTw34v1l_ab22krxig,19944
tvboptim/observations/__init__.py,sha256=nb_9cqxzkvadDBC63I_n8EErl5IU-Dyt6uyPVSFYopY,96
tvboptim/observations/observation.py,sha256=kryMJDfPuAYYilWWtAZ2I4PqoKm5dAtYsQYtY-HEUKo,1027
tvboptim/observations/tvb_monitors/__init__.py,sha256=o9b1gxY0V4pPYEjItVffsLThyjgtBTE9jn4piUfmXpc,269
tvboptim/observations/tvb_monitors/bold.py,sha256=yFw-dQgxKkCYX4LXMitZup0OBYxucD9cONz6x6EMsOk,10345
tvboptim/observations/tvb_monitors/downsampling.py,sha256=nQ3DG0n3dstFEZfkvo_x890RNXbBZ02T2q1sNXD-AiI,6785
tvboptim/optim/__init__.py,sha256=Ff-7DrrpEjPz7uaGQicJeGhfl64x12TRv_A2pOgjsNc,103
tvboptim/optim/callbacks.py,sha256=SwmktbCJXBjP1r0tTgo3nBQuO2rX5boOqFydqid4T28,11297
tvboptim/optim/optax.py,sha256=ULKw-bPqMgmLobYVcStabVpk_phqSR_7uerCxGIfHWg,15347
tvboptim/tvbo/__init__.py,sha256=mSzC0-3I2xo85hNg5Nam-AhzjpSKgod-TA2E0uDqBiA,85
tvboptim/tvbo/prepare_experiment.py,sha256=pdNdwVh0RHtVm8e4Z9wColDAJ1KLUfVgxwjVJ0HnKXI,6008
tvboptim/types/__init__.py,sha256=WHWVBkh0RhpCZY4_TsUq-mt0fJcPMJCVDyj4eCoo-3o,737
tvboptim/types/parameter.py,sha256=yv0U-GD5udCb1QmVdPCk27kELUg7R37h68Nyrw0cZ3E,28072
tvboptim/types/spaces.py,sha256=e46TH89F1HnMvk14zxfy-Lmx4fAkty9wV-_BB8QZbBM,31713
tvboptim/types/stateutils.py,sha256=Kq_ik9DA_d7bmLub1u4FuZHvaeQ5kaJfTtUiqjTRkqE,3144
tvboptim/utils/__init__.py,sha256=wYc_yyU6xEiRPWEkR6zRhB5yImuFRfgocgV8uD3x6mI,316
tvboptim/utils/caching.py,sha256=gR342FLTXNDqgP4z7AjDui_IseGe0bB9bWO1l5n7dUg,2749
tvboptim/utils/utils.py,sha256=z3Zbx-kdiG7Y0bnepOmwb4vBlHl5W41O_WaKne_3HdI,9446
tvboptim-0.2.2.dist-info/licenses/LICENSE,sha256=Ahytx7QgTkYTry7Tqnfuo9CuRdCFM41nWTWRmYoDrsU,14111
tvboptim-0.2.2.dist-info/METADATA,sha256=E_-NdpH7AVPaisXD1T2_YIQ9n4v2iMAbofxs38kE-2M,7185
tvboptim-0.2.2.dist-info/WHEEL,sha256=_zCd3N1l69ArxyTb8rzEoP9TpbYXkqRFSNOD5OuxnTs,91
tvboptim-0.2.2.dist-info/top_level.txt,sha256=qS4hxM9GaeIj9XxHVZsPlYHdUb6ATz6MMQ67PtdDqiQ,9
tvboptim-0.2.2.dist-info/RECORD,,
