hunches/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
hunches/app.py,sha256=MsYpNZY_3hEtPKkz3NLhnFgUV9MOMSbcUE5TLLxS29o,9194
hunches/candidates.py,sha256=yZFiGpMRn_pTsxZFaVGuYP2x8CGNCh5OS-Avp1iSF1E,2744
hunches/classifier.py,sha256=7iNgiVW4-6PpCl_6V2JdjUxB52iTMY7cmuC0T-P-7uM,3836
hunches/cost.py,sha256=p2FsPlIhEySHXxrqW-pvlsrZTEPY6VoN-4wrncxr4M0,3683
hunches/files.py,sha256=tyloIFLGslSarYLuTMKgKFRFS4y7f4NFE4JRJizMQ7s,6805
hunches/metrics.py,sha256=Efbfql72SS2EMFDjVBNu1D7IXBD-40bJcPC782dX-Gs,2802
hunches/screens/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
hunches/screens/brief.py,sha256=tIxzs6gQ0L_GyD2sxjwC-KL6O7dXac55H4MQRabhDCk,4640
hunches/screens/browse.py,sha256=tJ2si7982-Vpvw0Xz5mIT7I__zkB1KC9-c5cAf8ulX4,3605
hunches/screens/final.py,sha256=_UsYa-THVcXFLinkzHUuCl41l5DUiL_TBBGsH9SlHOM,7751
hunches/screens/gold.py,sha256=gnZoMSZQaIxbDO2_WcC4n1jDcbxZDCkTaqI-c_YRohQ,9379
hunches/screens/run.py,sha256=JRC2KEsQa19M1BIYtzeT93nD7R_VbCANcMbCxNOpAtE,6205
hunches/screens/search.py,sha256=ystwEC-5OMgiFiUEUahIHiVDRdqqG6sBLopcaWoNF8Y,3928
hunches/screens/taxonomy.py,sha256=Zj5HDSJ4dGPJIZNqdshoc_e7QvAqlCVtjPGj7O69j-I,6103
hunches/screens/threshold.py,sha256=GAOzt5bKgVslNJgoaqPSAoG1Q_Qd-gPSlVW3Dyg_yok,7294
hunches/screens/tune.py,sha256=Ew8ihB786dl5DMkE4BBIgLaD8bkMak7UVjuxzU4hIIM,11875
hunches/search.py,sha256=jHq5l0ETAR6jfgkDotySx3p9arUPG-SpA8DssjfJqc0,3378
hunches-0.1.0.dist-info/WHEEL,sha256=eh7sammvW2TypMMMGKgsM83HyA_3qQ5Lgg3ynoecH3M,79
hunches-0.1.0.dist-info/entry_points.txt,sha256=vtvdkmmc-6on8uSaK_cQeULmOeJqsz610C6viHgecBU,46
hunches-0.1.0.dist-info/METADATA,sha256=trfrazPASen2qys-_KLSO6rkpCFikvDnI-5-SyGFRR4,4664
hunches-0.1.0.dist-info/RECORD,,
