flowpde/__init__.py,sha256=FB6bT7nIXxNh8GfZx46o9RxH8xd4FlL8Afo98mPOHBs,2987
flowpde/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
flowpde/core/__init__.py,sha256=JPq4oyQJ4wylJvO8M1xhPCSssQX6fs4PQv0NRM76Wc0,577
flowpde/core/base_conditioner.py,sha256=Ltfccy2e9nIfPDVbQc496vXQJU0ZUl9dWoxzZ-1S8DE,6864
flowpde/core/base_flow.py,sha256=O2XH-nFw-VmdCcKAFPXomvy1YktgrxKu4Ypg6mh0BA0,6191
flowpde/core/base_solver.py,sha256=ENsGelPS-uA_hsb4q05NbtOcWrub4rPWkYPPyizXM24,5254
flowpde/datasets/__init__.py,sha256=FOwWmbRVOi58zMIcK40Gv6NKN_Bgd0MlOzFXA4O5uwU,3190
flowpde/datasets/normalization.py,sha256=O0ZVvqP1XUeINh6440mlqq82gODsms-b45YNRIUQJIw,8125
flowpde/datasets/exponax/__init__.py,sha256=mp2wRDmnS1ckkqslyjpTXX0zSZpDUUbXC2-JmcGBgVE,2304
flowpde/datasets/exponax/base.py,sha256=gx6xV6NIsLwpCWwvq40dS-Rci1u9xIenFCIq3jJs3Lw,8116
flowpde/datasets/exponax/burgers.py,sha256=PjyC0Sq2AX51Ny7vFHYoL_XxzoUC9V8XjYnk6tJMFv0,6406
flowpde/datasets/exponax/darcy.py,sha256=-rUV0SfVTXXSdmwSe99Y6Pjz3XTwU73L5IkL_oLfbyY,25004
flowpde/datasets/exponax/generator.py,sha256=86j-K83jqTTuFLMz0TZTQEaamXVWlMcS0AXuz5ZQBsc,6609
flowpde/datasets/exponax/poisson.py,sha256=RvcEAsQzr6el3ccVqTpwwiBajhg9NfTYIEUM7o-tF2o,3455
flowpde/datasets/exponax/utilities.py,sha256=sqPyAGnx69daiADlvnoWvnstFb0cFlWhwmYsirhiVTo,3343
flowpde/flows/__init__.py,sha256=f04kIdCa6-qf7n4HAqetV0SR9U_B6n3-lxxVH8CNptc,1530
flowpde/flows/neural_ode.py,sha256=hpc4UvNe6OV7Z0oPq66SO6VOo3vs9zaTBXGHBBD9L3E,18294
flowpde/flows/components/__init__.py,sha256=Pvqsw-B16VLkDtEdCEKu9ZM8JA4pP_QvGDW7qT5fiyY,1254
flowpde/flows/components/couplings.py,sha256=kjIhD9gqNHNQlIw65ptRLyVsMp5Yz63Nb1808hSYCrM,5947
flowpde/flows/components/paths.py,sha256=P5Z7a2WQlYjAlOh8XjC3UTAQbDgNZLosCgk7-fTDrPo,8567
flowpde/flows/components/sources.py,sha256=UQ0bnXEh99kmr_vDo5k1-7q4hz8ju9Q21Isj12QmyDE,6999
flowpde/flows/components/time_samplers.py,sha256=Zr-pjUgYzPSgkkM0RkyQ7_pT9EBok5Xw7M9jkAH1xug,4575
flowpde/models/__init__.py,sha256=6HURAb3ckoQdIXBunzK1VmIovniYpI2AbGOpIKEQdmY,984
flowpde/models/components.py,sha256=XkGS-2YgOSbjg4tCkpKkn-z9RQPp5l-DcMO4_OGIxK4,11718
flowpde/models/convnet.py,sha256=Kb6rhZ3sElusIT-SiazkZg2AjPNQ8m3IoCTvxQOgb_k,9138
flowpde/models/mlp.py,sha256=TmateO4mN_4JYtCjBm-JT-ieXz9TAg-BAErkr039Vv0,5460
flowpde/models/resnet.py,sha256=4Y0A5vmG0UtkxSXKWgHlv-BYSvytREB9sSX1sa-ilbs,17824
flowpde/models/unet.py,sha256=R7u7Ss-zOmtNTWeJ0ZVjIP1OPqpUjj9bUGxvEHjUSjc,11962
flowpde/objectives/__init__.py,sha256=Lhkoa5XEq4wRpS7YpdcbPox0yVONaAxONm0glEeVNsI,293
flowpde/objectives/flow_matching.py,sha256=q8l1XOVc5U4X7DXA3z6gXfK37zubwEl7yCkKVNsjnf8,18551
flowpde/objectives/maximum_likelihood.py,sha256=469Hg_4BZQjal3CYYsaANji-1mG9dNLRPWJvLVl26qQ,2396
flowpde/solvers/__init__.py,sha256=nJTzwCGIUISvbqbW_WWVYC1IUG1ujF-pE1mVD6Dgb-Y,331
flowpde/solvers/ode_solvers.py,sha256=FDSTdmyx8K7gIgK0lVLAH4ZEEfjAe_kFaR6fqoQS0lE,17310
flowpde/trainers/__init__.py,sha256=TTR4Mo3O3PvNgjjcRSj-JiN6J2EwABeTlDM4Qq_IRe4,311
flowpde/trainers/ema.py,sha256=ov-IkoTiw8toYhPVvENgxpVLw60rP2JBY077BuvXCg0,7343
flowpde/trainers/evaluation.py,sha256=qFPPtBGk5R5uwWePzt0I6HezTFsSkJ1232knBREaakI,9205
flowpde/trainers/reflow.py,sha256=GrTyuzYIAK7uBv4nZXpTgGHznI8_UkjCNKzjyaWweOg,11430
flowpde/trainers/trainer.py,sha256=tI1s1ihtPMzGnamUcNAgWIVysmoWodq7NZkkexdoasM,13729
flowpde/utils/__init__.py,sha256=JTAAHVR2YnV6x6pt6Zx2KkXsfWCrDOnGxikLcbRnPPw,1471
flowpde/utils/metrics.py,sha256=jtfvfy1l7L-AkqEO8JDkh4ZPb8AHLM18ZxBGQ5W7o_Q,13408
flowpde/utils/uq_metrics.py,sha256=vM0TmOqvNfVLUWzXavYN2kGSLArGrjmS5NRcRku8lCE,19084
flowpde/utils/utils.py,sha256=ziEmmNxk1333SmmofKnnFAyXDSRv2z7_CWI8rapjgls,4217
flowpde-0.1.0.dist-info/licenses/LICENSE,sha256=BKXSZ7sftgFJxdcUJOOKWtCdRsOuOZsI8z9_4_h1DqY,1073
flowpde-0.1.0.dist-info/METADATA,sha256=wipe7oAVh5NJ3bhiBEYUiizGuGW1--WcXj7dqpWRHuA,21795
flowpde-0.1.0.dist-info/WHEEL,sha256=YVMoNqKzERt-wjUZwJ33xBGAwnFl-4cqbYkTtWa4itE,91
flowpde-0.1.0.dist-info/top_level.txt,sha256=-kMfBARqUULnroks_vdIH9RtMomOhkei1rSfX7zfTaM,8
flowpde-0.1.0.dist-info/RECORD,,
