hfppl/__init__.py,sha256=DZmIJrt3fSXhRqL8xqK7GjvjJ_z1x_NogNEj4sd8NHs,418
hfppl/chunks.py,sha256=rGWXrErFbbLJJxonCBWwj7J38qHT7XJOPGdUL7TP_9A,5007
hfppl/distributions/__init__.py,sha256=6qlPM9aC-baxAFUIf37g-oHtolr3ckr7_bpNe4ilvIA,862
hfppl/distributions/bernoulli.py,sha256=o76R8483j-PK_zzhfi5UruIIY8CeAnbHw7cBhZ_moqc,623
hfppl/distributions/distribution.py,sha256=B3VqoQkGBWEuou7eTTVBmTZAWlHP8HoLy3Z_kNLTcAU,1057
hfppl/distributions/geometric.py,sha256=sYEGE6LtkEqqWTHRkMLhd4DoSJvqwjROL-35WaetUq8,613
hfppl/distributions/lmcontext.py,sha256=fc8e2ZXWxB-ep88KX3euIAorFpp9D1OQhWA0NJH7l_k,9073
hfppl/distributions/logcategorical.py,sha256=1IQQqALtg9_Pqua_g1JoHJl6JCtBvXwzp2HWq-QdzbI,886
hfppl/distributions/tokencategorical.py,sha256=p7IKcMnyVFALajftDx6IQR-t2U64qPaFZkgGeoZvHr8,1535
hfppl/distributions/transformer.py,sha256=urv-q84ZLDz8TEbfnohtsXGhM_iraoV3D4O7MnaXf1o,1886
hfppl/inference/__init__.py,sha256=cIeBmgwhtSen6JG1iNWAOUwKjdvEzfFIyOHahKXIOdQ,417
hfppl/inference/smc_record.py,sha256=1Nis6FGShQJp-7-UktHlGW_e-W3eFrW5nS1vc2XWqx0,2093
hfppl/inference/smc_standard.py,sha256=WABKZAfs_3x0PI5Ixo76vfHleEswBD1Fs3mQuU6yR5o,3666
hfppl/inference/smc_steer.py,sha256=-ZQ0uxNOxT3dLqkuAnw5Vw1Idc6_skmYBzWWA481pKI,4306
hfppl/llms.py,sha256=c8ZvbH3tZ5Qiy4hG2ftGZvR52Pcg1Q_HMgLVS3RICpA,14928
hfppl/modeling.py,sha256=DwR0SNfChcD4G27Jx36bgiZaH5RXya15I69tZYJfzhs,8461
hfppl/util.py,sha256=vhQIcOo9c8wE-Gq1e0p96j26YZ-UUA0jATE9Zs-1R8Y,456
hfppl-0.1.2.dist-info/METADATA,sha256=YqXuc5rpqGxEVxh4Etf_HoABxryVzgTOx12h0Ii5n9s,6438
hfppl-0.1.2.dist-info/WHEEL,sha256=fGIA9gx4Qxk2KDKeNJCbOEwSrmLtjWCwzBz351GyrPQ,88
hfppl-0.1.2.dist-info/RECORD,,
