setup.py,sha256=MexiaEyBU17SUTiowfPIW2TRjQGjHJAJRfXfZAa_zNw,536
dynabench/_init_.py,sha256=MpOzcOGouf9PMJv3XbIXJUUEhUtlRw1MMJ7P2tCRBiA,38
dynabench/dataset/__init__.py,sha256=wWFk-RyRqAOjlKcVozONTv_dAqU7KoR4tOiZDCfjzx8,39
dynabench/dataset/download.py,sha256=bq2xoLlYAwqiHDX9pxjQu7kxhksQZRFGxLTeRD4U2-c,4804
dynabench/dataset/iterator.py,sha256=jlNZKgHqooswkGwq40ki-5AUjWa8kUcEz4TVtLmg6FA,3130
dynabench/generator/__init__.py,sha256=RaXzwo_Q4wBu5S8ZtkkGKa-tn0NM8AYX9_6URuQmDes,502
dynabench/generator/initial.py,sha256=Fnt1JCb357tej0LF42w4_Ts1ZUpgzgpvSJNbbk6k4Bo,1789
dynabench/generator/fourier/__init__.py,sha256=mcVDDkpXKCQ1LD8QY1DME105jW6OfUdaE0SS-dBzGa4,1712
dynabench/generator/fourier/equations.py,sha256=AQsgUSX2AhF7pvB6ti_yJ-baVZd90JqASB1UtfKijA8,7053
dynabench/generator/fourier/solver.py,sha256=C2_KUrGuaojARhJD9Z-R7aOpfMS3oiHl1pTHE74IxHM,2622
dynabench/generator/postprocessing/__init__.py,sha256=hHIv_QVJXsjr9SD2dhB99xdnXwpGMzlhNzoowkMV_as,2493
dynabench/generator/postprocessing/interpolate.py,sha256=zfTk71zsHSfALzCOrY4B8d_7oUcIwXd-eISA9rbdCCs,2203
dynabench/generator/postprocessing/saving.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
dynabench/generator/pypde/equations.py,sha256=xe6v5QRVn142rv-PvX7Phmhx1MOF2V5ZsHE9-5eQ5Fs,8443
dynabench/generator/pypde/solver.py,sha256=aPbSRNCNN5vC5NBKDYvOXUF7Zs1i3pGs7a87uxU26BI,7232
dynabench/model/__init__.py,sha256=aWbKiBU8KTnjYaGpLwjNANaDOl0KYdLo6EgXD1kuhLQ,71
dynabench/model/graphmodule.py,sha256=Rip018bbLVt4GJK7TihDMy4S_wuwPZTWqYFtaOIfyG8,2665
dynabench/model/gridmodule.py,sha256=VsdWAJbjIoKcqlv7rHEZqwk1qJBoEtMEFT6kveH89PE,2526
dynabench/model/baseline/__init__.py,sha256=QVVcQha6BasScKpy7nqISSXVF2_qErxCQdoWU-HWfJQ,338
dynabench/model/baseline/baseline_difference.py,sha256=cx3aedttm9Vk9lCjBSxk36mtSdAMPRMrqDZWg9P1TS8,495
dynabench/model/baseline/baseline_persistence.py,sha256=OOz3IyMOyrz8bA2WmhALxwhWI7KB5u3X7g9rrIdUQe0,452
dynabench/model/baseline/baseline_zero.py,sha256=S-j-kpv84pYWN4e0atoTPud8YU7FCwIWRttFHvUnZJo,476
dynabench/model/cloud/__init__.py,sha256=8F1IJaWIu97dlJrL97jmvrUN6AgJvPi9NgmuqfMNLb8,139
dynabench/model/cloud/feast.py,sha256=VY-VDj9ZrKHdknqhuOgSidV9HI-yugsqQiUdMGgy6vI,1559
dynabench/model/cloud/point_gnn.py,sha256=TQb0qWR3SdSEKfwmb-Q6TOKJz3GA3GnQ7h6xtcfWeQk,2294
dynabench/model/cloud/point_net.py,sha256=MXP1c79XouepZGqAWdU6GRlTxN1eq_T7jFaI6UrIzhU,2386
dynabench/model/cloud/point_transformer.py,sha256=co0LA0-Ds2eklkwoU-XlEnKcVcPO75KXrHm7gZ0ALJM,2529
dynabench/model/components/__init__.py,sha256=gHS0hLkb7gbsk4JGXlCkcNisy8FEkx5mGSZBiHWHIgg,61
dynabench/model/components/convLSTM.py,sha256=f1XTmIvFIVg6GFTUvZlKIMNkO__n5ZDq17ArZ5QlLug,6951
dynabench/model/components/mlp.py,sha256=0NsngZIWnPDTN_zNdn7QUyT3xIwWqkxBKaU9wZtqvjM,836
dynabench/model/components/point_gnn_conv.py,sha256=UGu51nI2C5bbbpX3XWEVItk5INayZrg1WaXuJThlyYA,3260
dynabench/model/components/resnet.py,sha256=cy9Zus_K31_p3DR-C00nbUtHGF3Lu8SoKfjQphgDezE,570
dynabench/model/gnn/__init__.py,sha256=tpPCAECeBoQuxgllSZFW1kfsoBn2yOz6reBJWTzbFxA,44
dynabench/model/gnn/gat.py,sha256=Ss1GLjzZJgkHXxdKBo8dVQK-TqXqKBEMDO1hrSnVse8,1211
dynabench/model/gnn/gcn.py,sha256=_lpMA8EVbtuHvTOW3v1cT2ae7xcCBXT_pML7gqhiazw,1200
dynabench/model/graphpde/__init__.py,sha256=l-pBDFzQa10p2mh_BKxxaE7l4AmkIaWQPAs_65_y4IU,30
dynabench/model/graphpde/dynamics_layer.py,sha256=q7EdSOSOIHzBcSMORLGAlG-pHDq1wihJhXWnDgndEt8,695
dynabench/model/graphpde/graphpde.py,sha256=GeFNM9nmkNoCFjQhgRKOoeVvD0AZ4mTWJ1XqxCZaBXA,1560
dynabench/model/grid/__init__.py,sha256=YFtr8RvmqT0iLX6U5XpinYqwY79WGA3BFWDmbg6tIdw,92
dynabench/model/grid/cnn.py,sha256=lQutLdzh8WidoIQ0qBPqvvvOoGL6vI8dlmbncVn5ams,943
dynabench/model/grid/neuralpde.py,sha256=lgQdqB6ForlDF2otfS5FFUCg5i7H5hlB-Q1IIOIASL8,643
dynabench/model/grid/resnet.py,sha256=vb0pYaovxgXOAa2avYHbygsWVRY_SMufeZDoJm-kLpU,1225
dynabench/model/neural_operator/__init__.py,sha256=s0eYvPIEbuQfp0SB-IJcJGRvIyDVAMdvMaEObY0STxk,31
dynabench/model/neural_operator/kernel_nn.py,sha256=xKuaJXEhnvOHSekR2xJ-rq5D8yyuCkWw8ZEUDfk4i-0,884
dynabench/model/neural_operator/nn_conv.py,sha256=RtqZjH6EHOjMnF921xNMHW1DC7nmuFEHgJw5aAG_M4U,11418
dynabench/model/neural_operator/utilities.py,sha256=024QdyTXglF5hNbzPZ5xLRyE9cMjMTqzsb-e2pTH3fo,39817
dynabench/utils/__init__.py,sha256=uEgFo552_BhnOPuo14fmAl24rO8oINdG-BDGSezGhFM,77
dynabench/utils/animation.py,sha256=6VMawa7als_d6rAEjhsuDsvC0Bj7t82P4_CGbaR6g7Q,2317
dynabench/utils/archive.py,sha256=VH1PE1jdGHEcNqbCc7Azyv108SwyKt38WzxS7fNYDcU,551
dynabench/utils/colors.py,sha256=BB3GiMLe_iztZ9VHEsLZEK06ePkMeK2AsWO4GzatqIc,1746
dynabench/utils/logging.py,sha256=X7XbA0fWzKcPlvxnUW90HT8NXfvkhhJ4As5IuqRSW8Y,488
dynabench/utils/metrics.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
dynabench-0.2.3.dist-info/LICENCE,sha256=7ZPPoLHJVo1WzWdXwNdFDBGo66IekkZ6xrFeKjSoLTw,1074
dynabench-0.2.3.dist-info/LICENCE_data,sha256=m6lVCtSEONCDbdqz2kgLO2n_oKrHt4eLWgA556tClBE,18657
dynabench-0.2.3.dist-info/METADATA,sha256=tp9zRjjztoQty51Ev3YXvofUYaYSUk4X4FYGHzZ_5gA,12119
dynabench-0.2.3.dist-info/WHEEL,sha256=Xo9-1PvkuimrydujYJAjF7pCkriuXBpUPEjma1nZyJ0,92
dynabench-0.2.3.dist-info/top_level.txt,sha256=vLSRsEJMn8jd16u6UA8aFspjpWiDB48Bu1TXAjZMMd8,16
dynabench-0.2.3.dist-info/RECORD,,
