pygrappa/sense1d.py,sha256=aDDyosxk9niKgHsZkAtClzY16xaPNWM223f3xLccXeg,3421
pygrappa/kspa.py,sha256=_TAQWZkEyEIRGWJ8zqR9Wvs6OX2igz16_Nb5kuXfkp0,2782
pygrappa/seggrappa.py,sha256=CxylD6TNoCf_L2LVrlbsbCSDdxYL0Yt4b6nlJWiCMjU,1204
pygrappa/ncgrappa.py,sha256=bDR7UPRiM0h_--W3XR0XdWT52NEnuZBQ8mhlbstieRQ,3699
pygrappa/ttgrappa.py,sha256=7tRnbPqqu55C-iYP5Rko7CCHfXuJXR3gxmF0Ywt4P4c,6400
pygrappa/pars.py,sha256=EOpWaXviWyDDxWuINcKflBDD3fv9faKcAWDTtyhTdbE,4345
pygrappa/radialgrappaop.py,sha256=akWzHBa6IPT4FBBAD0XCux3g6vLwTJuP-u0gyh1WO2o,5259
pygrappa/lustig_grappa.py,sha256=PvH1wpm94_eMNOcg1yCoogumWurASufGke-W6_cgWMM,8006
pygrappa/run_tests.py,sha256=dRkPZJp7Yfgbp2p3tVc0bkRTg3HzcecbY0JPUfpbNQs,200
pygrappa/vcgrappa.py,sha256=09Urf9WRhuG3UDezetedcmQ-3j_0U5Fz-6A1g-CC9t8,2279
pygrappa/hpgrappa.py,sha256=Nkas-h-1mJ_uCopF52-YhCml-nz9llawSxM_lW83N5k,3993
pygrappa/splitslicegrappa.py,sha256=MDH3qX-lxsUcG7ODqiXj0JgRs2Q00K1Cf44exW8Cgsw,514
pygrappa/igrappa.py,sha256=XvfDDUGnDpiOlmOyFcgBBCYsC9gmr6UGGoRbrJ2NrUE,5543
pygrappa/slicegrappa.py,sha256=SJ5kHmt5KhKQ8UhiAnw6kNiGJ3EB2_2VkLEd85FbmaA,7015
pygrappa/gfactor.py,sha256=OkHMr2i90O55B8Sv9uCRbwbo06KoMXopNBKJmY0Jnl0,3001
pygrappa/__init__.py,sha256=g6H3BPrY5--0fj7h0HZsi9br4SB44kklJFaJF-Fblag,1065
pygrappa/cgrappa.cpython-311-darwin.so,sha256=IksaRPHiONHGhQeX6XlrUVrbKU_fCrFJTnWrIDt_wkg,289520
pygrappa/find_acs.py,sha256=5_I881LsR7Q4TG_JmwUchcOmbXnAvbXqwJOhqrA2kAI,2864
pygrappa/grappa.py,sha256=e6UDWcV5pu6p5McCpQwp_GQr8Oc0wd8GkH59yHnobww,10212
pygrappa/mdgrappa.py,sha256=5bK5EtIl2c4pyJQU3hPIjXpHBS4dQFjxwwm4kzT0FAg,6357
pygrappa/cgsense.py,sha256=Pst4uXVRKZS3Bi52S2zDsKjmgUq2ZZGzu4GYgb7yOZ8,3876
pygrappa/coils.py,sha256=36usuizJJwnohr4vCvXovTELuH-fGtgzvZRaAzs-05w,2461
pygrappa/kernels.py,sha256=JkHUKLxcMrl1SeTrciBApXxD4Nk_9Ly9FOCWzc8yUbQ,1491
pygrappa/nlgrappa_matlab.py,sha256=18W32454CnuIhLKTr6_4G9cWmBNWVDEPdmQN47ea1Y8,16611
pygrappa/train_kernels.cpython-311-darwin.so,sha256=Vt6I6TbetWgxnpaG8nFzZC7T1EYGXE5mbLcK0xTgx6Y,234152
pygrappa/grog.py,sha256=yBk2xhj0CkgVjSjRpXop-UkyTkjSkyQk2u_YnW2zlDk,10283
pygrappa/grog_powers.cpython-311-darwin.so,sha256=ysvtoT4kGVHUI54dSB9RQsbMAlsH4dRZ9niCgUi7fyc,217480
pygrappa/tgrappa.py,sha256=aLiGiDsssPYgjGtUrDyWsHCr2P1_j4qLvTTi6fatrU4,5488
pygrappa/grappaop.py,sha256=ZoTbLihOejrZUR2hhfZyveX_bhXmZ1RG2JOBoBVX7G0,1942
pygrappa/nlgrappa.py,sha256=T29QMzJvDza5Fq833ulLGYyoGhHM1ka7ArrWubbP2k4,2494
pygrappa/pruno.py,sha256=0enrlYWt8mdDH-l6B10896o2hG2_giutf0UuFvzqz3o,4514
pygrappa/grog_gridding.cpython-311-darwin.so,sha256=lw0-mRZA6tDOjyyfAaEH3WOpNL8pQWEvuy6WSZwQJes,215976
pygrappa/tests/test_hpgrappa.py,sha256=ID-WCV3No6X-1U7NQazOIZWBwA1MgL7ESLO8mZllnXw,795
pygrappa/tests/test_cgrappa.py,sha256=UJePQpbATz9IyYRmJlAEdoIE-Da7M3_VDtB5PixpbbU,308
pygrappa/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pygrappa/tests/test_vcgrappa.py,sha256=EITu-0t7mMWe712DCfiR-QQzy7duqZ-PY5_oycVblzo,340
pygrappa/tests/test_igrappa.py,sha256=9OFtci-mkmHC_rdiXHG0DUjKNjardPCKr-LoZxbi-Q0,527
pygrappa/tests/test_cgsense.py,sha256=iS5Qr5oCKC5hwCniCpIlFl3ZPN8gmpKpjHt1cUT4Ed4,303
pygrappa/tests/test_mdgrappa.py,sha256=LXGAyfsy4b9lmSSBn42Bv71bRTpJosnEsJmqR6QAbpc,270
pygrappa/tests/helpers.py,sha256=st7JOulnOPeKCGf4xCE6b4ZWTTsRSLpy44NTV8WkM2I,9788
pygrappa/tests/test_grappa.py,sha256=axJKM8u9pSfW7xy-HjqKctI9Ht8h0vG4O0Gqb-DCklo,246
pygrappa/utils/gridder.py,sha256=ojBrXIFmQ5MIVlEM54d17eNn6trzZYfT08ZpwLNRsS8,1723
pygrappa/utils/disjoint_csm.py,sha256=YCYJQ37u4tQtMDNQlN9TQIzqHQdy5GEfLtQYAIbl5A4,721
pygrappa/utils/__init__.py,sha256=NQhu5QlGowDtAs36XgJYzPuzMe19Se6qJlVtGzkuyws,183
pygrappa/utils/gaussian_csm.py,sha256=f486CTxfkYkxglD0uecNFdVzYSh71Fjswo8KaNa0U_A,879
pygrappa/utils/cythoner.py,sha256=HuNLpAyzpQA5sAuA_wg1d3yJC7xF81uz6xbFq7hycrQ,667
pygrappa/examples/basic_sense1d.py,sha256=eC147sVixPDdVwIXQtNAWNDijkY9dBFPLNBvDjh_NXk,683
pygrappa/examples/primefac_grog.py,sha256=cUO9t_cP--dXl7sEM8kAn-1L1ViPpgmpcbkS49WlZtQ,3205
pygrappa/examples/basic_hpgrappa.py,sha256=Rvkyx1pxVZs96AQ9oopaEjh5jPZEBy9sMPgGijTUP-M,1917
pygrappa/examples/basic_radialgrappaop.py,sha256=QyNA-Qk_li8_2TLnhVPX1hq8AzvLkAvUIZK_ZuCzjKY,3216
pygrappa/examples/tikhonov_regularization.py,sha256=QN2oYErClg7Tbo2NlTgnkIrgZVBR6XWcKNnIOASwKPc,1578
pygrappa/examples/basic_cgrappa.py,sha256=7InwvAyt9EEgp9CvRCCQfMT3Da1ONkkz9e4RJbUtyHw,1576
pygrappa/examples/basic_igrappa.py,sha256=jOd5R0Ee-d9C3BVtPqJUUuBdXqxDvK3arbEjIFz8SIE,1722
pygrappa/examples/basic_nlgrappa_matlab.py,sha256=rpL7AtDlxIYiGqhmLP7DcMDftv0o4NMBpxcuDYctwVo,1709
pygrappa/examples/basic_seggrappa.py,sha256=im038NmYEemNA6tQ3Qfd_tlDmMIp_VNEUgbZKlRCs5M,2920
pygrappa/examples/basic_gfactor.py,sha256=PV3_C-LOdQ4jpxWPZzV3BIgYCN4HZIdgVgNngUvuzIs,1394
pygrappa/examples/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pygrappa/examples/basic_vcgrappa.py,sha256=cDD1OBxGhpEu6vk5g_CGD69fSnsbyq-DNxfa5oI_hvo,2641
pygrappa/examples/basic_ttgrappa.py,sha256=_OBfq48Wvuiu41jHbSRBCnCG9v37IkNlZ3vMtO_gqhY,1656
pygrappa/examples/use_memmap.py,sha256=wlj86Ucd3elsrPNgaEPFQVkwZN4dk1_3qAGHU3utFz8,2710
pygrappa/examples/basic_grappaop.py,sha256=MPVhYQnQedRBFrI9j7CJpmVZyQ3cjdmQhLkGc-1nWAA,3440
pygrappa/examples/basic_cgsense.py,sha256=BXW2z_B8VTkK208JJLm0KcV3aqT15MnrfQGGWlzfkAY,1526
pygrappa/examples/bart_pars.py,sha256=o89TTxOcCwAGunmhKSOuVigEWYlRmcWMf5sEaiz4CQo,1161
pygrappa/examples/md_cgsense.py,sha256=gMk-ptzc9E45kSmBYGMOtNB2k6LLDfpnljeGrj9Wgoo,948
pygrappa/examples/inverse_grog.py,sha256=EseiCSlpei4XighjFYdB8Hyf3S3prmKHIMP7VqFVqqc,1752
pygrappa/examples/basic_grappa.py,sha256=9lq1e54zSvwwNqekir2dC-Ob0BGJzqGQm7aoTN5whbA,1539
pygrappa/examples/basic_slicegrappa.py,sha256=ht_X0_wlBpy4M29mSJFm1QHtn7rI_FGX5uDjzIVbV1c,1931
pygrappa/examples/basic_mdgrappa.py,sha256=3cKILAkho_UGco7G5Uz5P5g2zHerBBUXjUNB-YyocHY,1689
pygrappa/examples/basic_tgrappa.py,sha256=PhK2qY0nn_5kz8f5ci6MzVHEj0y1DQBtPzzoYYC-37Q,1876
pygrappa/examples/basic_splitslicegrappa.py,sha256=mBMD4xsb7DeLQtckDHElhKHPQvIR6cgbHN7a25dhxSA,1953
pygrappa/examples/basic_gridding.py,sha256=fu8pG8LfKV03QyqmvYC-erdtGDfc6DujVcLY6ti4N44,4178
pygrappa/benchmarks/benchmark.py,sha256=8qLvnnop16AOTfaG1yaN9D1pwWeakba4OaB_yPVgTWo,1244
pygrappa/benchmarks/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
pygrappa-0.26.1.dist-info/RECORD,,
pygrappa-0.26.1.dist-info/WHEEL,sha256=OPfZKGPBb1EFITKfcXTrfWLOpOFIQY7V5ma6oeqJeeg,94
pygrappa-0.26.1.dist-info/METADATA,sha256=7F-6T7FghcWd-K8B47tFlSLARMo_xe5vt07PbjxFoF0,1188
