perseus/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
perseus/cli.py,sha256=iJY5lIzOuvaRHzD43FtAQ07K5U7jJbPb7qlrYU6IUK8,9211
perseus/commands/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
perseus/commands/extract.py,sha256=lmrC0xAKqoO0Z9qJKEkjpnBxE3S3cO-iUEu7b4VHsrY,12058
perseus/commands/filter.py,sha256=WjNLIpkfn0iwIhXKnOVtslziiDofelwieO926DX30Qo,12713
perseus/commands/setup.py,sha256=A28RtC_5PoWYkP0vL2_3atfY8jwOgSTiUpZ853dWkwE,1648
perseus/data/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
perseus/data/collate.py,sha256=cpDzvwIAo-gi7ELdLMSMPy8m6zWQT8y0TzKXZXNk86w,4778
perseus/data/dataset.py,sha256=wJYA4UFiIXmLCH7wyTScagdNSSXi08U1vJMPi-duQWI,12395
perseus/data/sampler.py,sha256=YN9kP6Vatz9vuIpyyp_x7Tb0g3GTCkEDcscpJcHtvDo,7082
perseus/features/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
perseus/features/features.py,sha256=uC_3ulK2rpPx9ue6KMWAhOqD4IuKjuC_qd1wmExKRHk,5238
perseus/features/init.py,sha256=6W8WhB8Z1IIBTxqa0NewpMd-iFVPQ5DITwS-_2iPLV4,2842
perseus/features/processing.py,sha256=IxUnsDByAJNZz8yIqrR4TQk9I3PFXZo96uF4p_2hDl4,20471
perseus/losses/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
perseus/losses/compute.py,sha256=PzjHaKQqUWs7huiDVCo2qIoeONksxgLNTRLlBsDWOh0,929
perseus/losses/focal.py,sha256=yZC1E-Xrha4MgGzR9s3ivteVz7hFGzn8k9uZ4qZk7tw,1847
perseus/models/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
perseus/models/cnn.py,sha256=feA1aku2hIWhp-cAcV6IFbEpPUNebsnwOus6vN-mSxI,4273
perseus/models/initialize.py,sha256=jVvgg0LJsmDpLxBKW5zCXYv74pB_HGWORKASzV6-uoU,2476
perseus/models/layers.py,sha256=Lx9Qm3ivSMVFkEiqnIMafanDL_0GZSnADt3SKfy6P5Q,1221
perseus/models/trained_weights.pt,sha256=GU-hnaAz0N2rhKZt6JzmWTZX59GcDfKOxrEQFsBl_5A,1791948
perseus/trainer/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
perseus/trainer/calibration.py,sha256=tsIkTfqhyvm9l7b5qVPAgYo7oTeDl4-gQaRb-_eK-cQ,3368
perseus/trainer/evaluate.py,sha256=6JfQOh9NzAxHuxaZ2ieGR_vvC0cMQ22fmWBhsMhX-Tk,5167
perseus/trainer/metrics.py,sha256=A0YtNaImYZ11R6zkYIaehYkW8Hpv0vYewNywqXE52J0,2134
perseus/trainer/regularization.py,sha256=is3-OfYT3QTFBLn1YyG9nV59CoORKZjyyicF57aBW24,702
perseus/trainer/train.py,sha256=7Yew9OnpTzxaGgv7IhyxDVBCQvNulBWLdXRQvYWx5xw,5144
perseus/trainer/utils.py,sha256=s08e9qbSJZ1WUdllBmCag2s5isgEZT7W8jnXMmtCXz4,5292
perseus/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
perseus/utils/constants.py,sha256=T4PXbvBk95AQPC3qgYqu7ghyVGUXuY0HgdxpFzejIZE,260
perseus/utils/filter_utils.py,sha256=74Vcej9_29YghRC9w6CK0XkcyZOPOOIQ9-Xn-fOsGpc,9041
perseus/utils/globals.py,sha256=JlCoAApFskcD9ZQXlcQMFp-Re_a-TkUmfexmNpwjjL4,636
perseus/utils/io_utils.py,sha256=QP43mpJIGslD8476VvMT0pkBiOpPRsj5bkRbxrE2-Wg,4994
perseus/utils/targets.py,sha256=6eLgLeyPixT7GscepZbQwBMiHMrzeCbu2OjfvjnjCZY,2546
perseus/utils/tax_utils.py,sha256=_ATgSqHLTJVElEt5bDIUKUMNA2N05I0Lc0lEBcDtNXU,6550
perseus_metagenomics-1.1.2.dist-info/licenses/LICENSE,sha256=rdELPXHpfDMWtcSUR8x5pftkZXOzXf7p4gVy06DMKF8,1071
perseus_metagenomics-1.1.2.dist-info/licenses/NOTICE,sha256=MtNh_HtGVODp4kZxVDA4rHQgZ0yJtkQ-xxpR3owvGlQ,91
perseus_metagenomics-1.1.2.dist-info/METADATA,sha256=v1sqyhsLeoJjSy-U6wCzxqGsGj8FP90PlBovYSeRLX4,6819
perseus_metagenomics-1.1.2.dist-info/WHEEL,sha256=aeYiig01lYGDzBgS8HxWXOg3uV61G9ijOsup-k9o1sk,91
perseus_metagenomics-1.1.2.dist-info/entry_points.txt,sha256=g6Bb77qofYV5gmMcljPwh1sYrcI3FBGDqyNp0ckmtxw,45
perseus_metagenomics-1.1.2.dist-info/top_level.txt,sha256=W96rdJCSlmmpxoJ5cr0dB8agD-S4DKkCPMzxvi9I_QM,8
perseus_metagenomics-1.1.2.dist-info/RECORD,,
