benchmarks/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
benchmarks/benchmark.py,sha256=UCb7RSz8UlqZo9T1IEO77AS5AlPgCb8c76Zc87Y5MCg,1283
pygrappa/__init__.py,sha256=XbzI6EhUmfR58i05b7PbLY4T8zQLQQw5TeUzSMiJgfc,1093
pygrappa/cgrappa.cp39-win32.pyd,sha256=fRph4hYGJZ0dC9ObjFH_9c07_AuBUHKYBA56ghQXCxg,158720
pygrappa/cgsense.py,sha256=97GHat1E07Ut5H5ZEpox6KzcazcW29fbfj4_KVxqTxM,4004
pygrappa/coils.py,sha256=yla3bzDS5nkuAzyMvPg8sSQ08nM7hC4xPQ74aUZXNaM,2532
pygrappa/find_acs.py,sha256=k-zwL3WJ511QWi05fUlXPYA6xOgBfo32doBJRHpLttE,2941
pygrappa/gfactor.py,sha256=-ZJhM4hz6WiKOBqyS4Ir0gpA9280g_WIZ1XaGf56-rc,3120
pygrappa/grappa.py,sha256=ChqUnYSJ9ACpGzIHQipdrHxCseTJuzmKrmvOd9sCl1k,10473
pygrappa/grappaop.py,sha256=efVHKos0AkiK1lrNqbZlqv-HV6KlBNQXrjURrRj_YsM,2008
pygrappa/grog.py,sha256=7K-MT6oCl9LyOt_G1eKN5vCXA8HAgZUvmpjH4XaML8Y,10569
pygrappa/grog_gridding.cp39-win32.pyd,sha256=QENUqIrcGh6rcLejdujQIi028daMvTNsSblDHIjfJuM,135680
pygrappa/grog_powers.cp39-win32.pyd,sha256=bzfRyl8mUfZJ9v6_S6lHXGh0wBQx9vRz4gFgRPdhkJ0,136704
pygrappa/hpgrappa.py,sha256=kzsHvYxfH_5fEbL1n1POQzjBHZK-Uv3LNC_es-fkfjk,4132
pygrappa/igrappa.py,sha256=B8NHbosaGFcl-33Z6-gOYSDTrleTT9gHdZs2ESCyTWo,5713
pygrappa/kernels.py,sha256=dmsr6NpTUF_WPAxKtEX07Gi0QBpHlBN7poA9xTuD7BU,1548
pygrappa/kspa.py,sha256=j05KWN9U9AeOWYy7w236Gqp5XbD5LcCBQu-zmAr8TtI,2874
pygrappa/lustig_grappa.py,sha256=87dCq60AdYxYyfNVZAxpFUdCNXShbsI58E_S4I-8ecM,8252
pygrappa/mdgrappa.py,sha256=GIZmfCalCxmlSy7CgVs9cbqBgtxlrgnbpaXuvt7gS2g,6523
pygrappa/ncgrappa.py,sha256=YtkWU7eom9vGVaog_mAkDCVrXYUziDNNjaL3d2jSYzA,3816
pygrappa/nlgrappa.py,sha256=VLNW4V4cUrezC3T2MertYaQA4W9BmavpPEAThMz1rtk,2584
pygrappa/nlgrappa_matlab.py,sha256=p4OW0Y7b6rARZAjnCpo8ZklADJ876k9_N4KCg_DrK_0,16968
pygrappa/pars.py,sha256=c5LBxNbTGW0f3VjE7BTcVhTf2y3KIkkgYWrV7-XwgdA,4472
pygrappa/pruno.py,sha256=W1b8UXtiAwNkvACMSicGfyaDwuoRMz5oQFqwqifJ2ZI,4648
pygrappa/radialgrappaop.py,sha256=DIWv0-_RjQjRlpMRuYUR7kPD7LX8ULbKl_RDeWjpWdA,5281
pygrappa/seggrappa.py,sha256=i_VhfRqByFcWaSnH6BXgTYicabFYZHjJu4PglFbwsJY,1246
pygrappa/sense1d.py,sha256=_j2-v1M4B_AafVuUwp2Bl5j7sEnX6_PmYraJkkqMbJw,3528
pygrappa/simple_pruno.py,sha256=YfOG_RJKMuv1Tq9i_AmvTg5uaaVDOUu2aR4c7QwE91U,3714
pygrappa/slicegrappa.py,sha256=CMAQNslraOYB_Rlz17w4JB0ZXuAYwaO0BcT5Es66TAA,7190
pygrappa/splitslicegrappa.py,sha256=BjKAT4yy6e-kgbaxA3_WUjcNjLjLrx6hVJQVbnvJVgo,536
pygrappa/tgrappa.py,sha256=DDX2WgQcJVfNfvj9eIKjFyXKSDFbUvFhuriz-tyjfRA,5642
pygrappa/train_kernels.cp39-win32.pyd,sha256=34u0LEbmolwCsWlcYJgrd1hn_rd5Qnabg0UNACb3cHc,139264
pygrappa/ttgrappa.py,sha256=dNCCpLLq7Td-kCKyxZzHXi6xVgx6I5HuHEDgkIVFT_o,6571
pygrappa/vcgrappa.py,sha256=vobaAvSltDyp9h2rJB6zC636lcGwF0og8co7XM7imTk,2347
pygrappa/examples/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pygrappa/examples/bart_kspa.py,sha256=ph5HynnFtDRkvkQpl4HbTak42NdTFX5Et_OF4fbVFPw,1675
pygrappa/examples/bart_pars.py,sha256=8mnbVxkUAcjIolHvs-w9CD39PtsG3EDUDmkLnNXU9Y0,1200
pygrappa/examples/basic_cgrappa.py,sha256=QRGv2m9rNZdwdUel4CWoBa48JvIInSnP6n--PqGsB30,1634
pygrappa/examples/basic_cgsense.py,sha256=OG2y7m3NgKVmFyYx65d4pwQXhCgWfMwc6kIW5NZc8e4,1574
pygrappa/examples/basic_gfactor.py,sha256=5E944D16NYtDSrfESh0ATgVayZZi9zv-uL8pX1Op0P0,1437
pygrappa/examples/basic_grappa.py,sha256=byHgffspSv5jZ4M0yqR6AsMtzLu15OF_R52WLiMwM8A,1596
pygrappa/examples/basic_grappaop.py,sha256=iYz_N5NN-rNKROA6LJ2JftaTKo4IMYUVuv-8_Fl6h8k,3543
pygrappa/examples/basic_gridding.py,sha256=1yZnOMvbxttH6FaCzVkD8JHWYBaBm8F-YzpwG5cJaYQ,4295
pygrappa/examples/basic_hpgrappa.py,sha256=Ks-E81vw-02h-65OGg86z2cVKaHf33EdJeZSsRMT2Wo,1967
pygrappa/examples/basic_igrappa.py,sha256=XdjC7SydnE0Z0_dZOe8w4aOJMaUeswKpUgB1wEaD_48,1776
pygrappa/examples/basic_mdgrappa.py,sha256=fBSLkNu31uqSiOk5k-6YnJGNrRICFW2P4C8VGxa0hGI,1715
pygrappa/examples/basic_ncgrappa.py,sha256=uLhlSGKHY6TED-rXWjOKmiqA849gJIw-MZBNTEezHf8,1812
pygrappa/examples/basic_nlgrappa.py,sha256=ibX3EQnd_-4_J8WB3TxkMzr34cRpcSIK3p5iSAkurOw,2104
pygrappa/examples/basic_nlgrappa_matlab.py,sha256=Ul3ZKqUAYLMQ6pNQcdNPD6XcFP68xzcmx3hP8awlSj4,1757
pygrappa/examples/basic_pars.py,sha256=BosjIN_-o9iAIgTZjZaVUUj_-yBAkPoS3Q6aArISSII,2202
pygrappa/examples/basic_radialgrappaop.py,sha256=mg2LQcoOKbTk09aibOQgg1ikUzq6QVjYcnkDO15o0t8,3318
pygrappa/examples/basic_seggrappa.py,sha256=ZoSf00HaR4o_oaRYXdyWF_y_LBliq9uegsZklXyFVz0,3005
pygrappa/examples/basic_sense1d.py,sha256=D1F6tXwerOUkD9x1WfkM-0BMnOa_n6IHh7gBpVqAmk4,701
pygrappa/examples/basic_slicegrappa.py,sha256=b0g9GLVXNOTp4-LxyJq2dKFfYln93aX96I50OJVt6tY,1990
pygrappa/examples/basic_splitslicegrappa.py,sha256=AgAIAqAcqTKf3U1SIC359H_EEqYY868ehkc8YvUBKbs,2012
pygrappa/examples/basic_tgrappa.py,sha256=ZVt2-3j-gSCcgkNqWHDw0gsoWWf0MXnxm7JSuUWpWtA,1932
pygrappa/examples/basic_ttgrappa.py,sha256=acgBGghjv2C_j64yCswjxkQByZBqROQgT1McFFYljjY,1708
pygrappa/examples/basic_vcgrappa.py,sha256=vUvs4AS4orYknz6-cqGSUelGQM3zfOsewOlcYlf2T60,2725
pygrappa/examples/inverse_grog.py,sha256=GoBx42B2sh_uvuoqx8rFo0YJKIu4y2UHfqunKrQ_RaI,1807
pygrappa/examples/md_cgsense.py,sha256=aSbpQt-mcGP3TDdvta8LkpiWpWLTaZOtMCdw3YPv5f4,976
pygrappa/examples/primefac_grog.py,sha256=jEwcY1fnMeEmuEBoiLlVjrqvLW7aLC96I04jAgTyLdI,3307
pygrappa/examples/primefac_grog_cardiac.py,sha256=F9fPHYa02xr2zgvPF6SfN7jZnClM6r2MkR-AVWDx34c,2952
pygrappa/examples/tikhonov_regularization.py,sha256=j7xfAim63OYPU0G--MExxbwHSBJcZHr9nA8GrmOfh2Y,1626
pygrappa/examples/use_memmap.py,sha256=BeYwcKq6LhV8cKsf3vrlddC0hgztYQDmcDUHYSi_v8c,2794
pygrappa/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pygrappa/tests/helpers.py,sha256=FALg6vVOHVOTbXvxZyw8M5TYX0VMmpijj5fos7hYdNA,9848
pygrappa/tests/test_cgrappa.py,sha256=Ec-b4PF1FNvSeDrtQZzcYb9c4tM167v6XZGrGwhi9ko,323
pygrappa/tests/test_cgsense.py,sha256=pUTgtGZPTATa1KgyOKjc50_GwXnJnKS33RXzFveqxWo,317
pygrappa/tests/test_grappa.py,sha256=wUEcpI_5CS5ntP7T9IS5Ls9GPaEMWXdymREZqH5xK_I,260
pygrappa/tests/test_hpgrappa.py,sha256=2J-Jm6emjO3DUMPwxQ6yQY8-_IRKZBkCP4PbA9fnAag,817
pygrappa/tests/test_igrappa.py,sha256=aT7d1ikCZqSIJrzbfGv2dN2Fjrx5ve4xrddRg2-qmrY,553
pygrappa/tests/test_mdgrappa.py,sha256=_-UtpbnDOwH3QmlYlhn6BizDPPnwnDArFJ-_phyrabI,284
pygrappa/tests/test_vcgrappa.py,sha256=xjkeWEB026Ybschm9W-VHd40V-TpQFyx5G1utZoyyss,357
utils/__init__.py,sha256=2lEFiENPBlOYoZsgF25VPl3iWAJscxIS61sxPstDj_E,188
utils/disjoint_csm.py,sha256=Xu8wwRI1m_xyUueoHRoPx8qA4J8T8KdLdmE1PK2ovAA,755
utils/gaussian_csm.py,sha256=Hmg8O-Ba9rBmCHdZG9XKe9ybLgzkB9jAhJok7WlRoEM,914
utils/gridder.py,sha256=SN5xWsju4keg55QvgA-r8WJNmVTbxW-97aCAoMUqsKo,1783
pygrappa-0.25.0.dist-info/LICENSE,sha256=IwGE9guuL-ryRPEKi6wFPI_zOhg7zDZbTYuHbSt_SAk,35823
pygrappa-0.25.0.dist-info/METADATA,sha256=UiNBDhvBxlo5wWH2D-xRw9bq0SYnaZB7oNF9ywDIim0,1371
pygrappa-0.25.0.dist-info/WHEEL,sha256=xFUNU75GUJjrFouIkwjRY5mfiX90xTqA-0r9dgWcaTg,96
pygrappa-0.25.0.dist-info/top_level.txt,sha256=klWHa3K2uOSdQ4tHYU7F7FCKvPxxa8fD27O1Om4RhEo,26
pygrappa-0.25.0.dist-info/RECORD,,
