evopoint_da/__init__.py,sha256=PQkiwxef6OhXOHxkh9vKRJp_07qDe_BAUHlg-QB2TKk,517
evopoint_da/_compat.py,sha256=9vupJYKU2iG3BsaJDFBX-LVrflmVSzCWm68OAyqTSc4,686
evopoint_da/assets.py,sha256=mfco58S7uVv8o749h9Zebg5mWXag17L9CeVXEQBy1-I,105
evopoint_da/cli/__init__.py,sha256=Y66ODz1-MbgYGx-Za4l47OYCn9YqlaoQN4KonXgM-V8,294
evopoint_da/data/__init__.py,sha256=lFWIT8YlWXuyxhwV3rlSbsn9OKDcIjcvt3fuqqYxxbo,312
evopoint_da/evaluation/__init__.py,sha256=Uf-KpuqC9CDOrDVPj2PYWCcPL81pbV4467kQ-kM0o4w,228
evopoint_da/experiments/__init__.py,sha256=mC5WXpRxVipL7NwnX-CtkqytU5PcUuxQCVphp9dwu38,249
evopoint_da/inference/__init__.py,sha256=elThSXnP4FKH7XJfMikpZymzACxcJPD92fUpCI30svY,223
evopoint_da/models/__init__.py,sha256=pFdM7mUjJC9V66krGStOE5jKNVYDhNWCmBdrx4_ENJ8,305
evopoint_da/models/backbones/__init__.py,sha256=nn5pYrqUl_Hj2XMNRF-S2co4dZjfbAGUxYFDs9tjidc,231
evopoint_da/models/heads/__init__.py,sha256=hbxnBHbmBomw7hkN5fjzNMrUmaPL2ZVdnZtMHMFmgD0,224
evopoint_da/training/__init__.py,sha256=DHI8yhaxbrSnJi1f9V2PaXGmn4xB52msZkyXms6BGwQ,209
protcross/__init__.py,sha256=tIAQviDl3Paf8TruYH4nOBtlLMxoe0aW-uaJZc3RlFk,53
protcross/assets.py,sha256=APvOZK223d9e7IrkMxXcvpuQKiIqlMYnqBKT44TUV90,25899
protcross/cli/__init__.py,sha256=neoW6CnvZje8ww_QVVnbj7R21KmCyRtirFATauz9zmA,33
protcross/cli/download_af2.py,sha256=sxtLdsVYZDjhenHcoWQntWxEqI4P6vXE4pY4IDVnZrE,3154
protcross/cli/main.py,sha256=0v6qT_o0cTXUEUh6zC9xTpsPHR3fnuvJ2J-cCVpwQ8g,1925
protcross/cli/map_labels.py,sha256=vaC7QqWfI8H4wv1a4Zs8D69WaXX9bEU8I48jzyp-LVY,3475
protcross/cli/predict.py,sha256=VpDL6JA_rLzciIlFBFD5JsLF62XXAlrr5-bQUNKEL7A,12540
protcross/cli/preprocess.py,sha256=wxButHbk8NblPukMspJQUWXv51mGsVSMCtJMCCmC7TQ,3640
protcross/cli/setup_assets.py,sha256=mBOY93_lvSN2EGRnP-GATgb4HNJjssNme-wSRqdDSh8,2241
protcross/cli/train.py,sha256=0436P7wm5uCX92QxOqgIW9pZR2uwZsogS7_4lh3alVA,1684
protcross/configs/__init__.py,sha256=AC5CQp0NE9121mzIAp1dWMRLu_Gs-1oOIJgZg_mYNVE,67
protcross/configs/train.yaml,sha256=yHaTKpKAKycWVhc8npWiFvogTmxan9CC05c10HS2F0Q,221
protcross/configs/data/protein_seg.yaml,sha256=dEcsKLLFJ7kY7qr1ejKPdBmahzkIQavCmpGJjNAQZhY,254
protcross/configs/model/da_module.yaml,sha256=BTPRS8L7lRFaOrTQinIOnUWp4eu4mqfRX0H7A4EAyNQ,204
protcross/configs/trainer/default.yaml,sha256=-6Gqe40wruGqfjcSPr3TOwDU_VPSpgiA5TSjXYV9474,166
protcross/data/__init__.py,sha256=MEr8rGWhjLtbHLTnemrQ-Bzk4Jbqa16WusTiSkIUhHU,1785
protcross/data/af2.py,sha256=4NLGnU68s1a0COEMS1OxWrz85QITpTO_PRPG55exFng,13151
protcross/data/components.py,sha256=UbZ_WfBj4Rf2QuesMlBa6qV572_iXhav3BsTAfU_rMU,496
protcross/data/datamodule.py,sha256=JME5q4x4-y3_P2S0b6bU666hNSAJwFuYwA5h_07lCho,3177
protcross/data/dataset.py,sha256=9dT7egxFw0SSQ_vdtMrCz5YuTVRyY60FDee4bvm7WnA,8161
protcross/data/esm.py,sha256=dbeW3QZAZoxfDvWsL5kLgVv0IGLMELVfSXSzMQjrbMg,3443
protcross/data/label_mapping.py,sha256=My07riKAe09WuuALQgy61KV2FYxIQ5aOjtMlA_bmjLQ,22598
protcross/data/pca.py,sha256=GhAyJyIBpMgnpep851MkK9yJw8QZIWI-uI0LwKSosiQ,1150
protcross/data/preprocess.py,sha256=Rrh7-VN6IgyRWjMlx6k-ycPhvrbeFyVc4RZsyI9QIAo,11061
protcross/data/structure.py,sha256=j2JUoHwop36KIYW9l2eSRL5jyMFtazjTykACA_LMpok,16000
protcross/evaluation/__init__.py,sha256=ReLhAnZtMekJvXNV-KaJb-41zJmEikxqFe6IlTrGDwA,149
protcross/evaluation/adaptive.py,sha256=PeLrNh6W9Ce5F9lNG8lsoFgfqgF-_PQrEcyy3hu2-Y0,4563
protcross/evaluation/metrics.py,sha256=fzlSDOFZTspe1F8mgR70OOxBqAw9ZQtkJ47xdqt6Dgw,2376
protcross/experiments/__init__.py,sha256=kyopoXjvdwN4OsO9VzyCW9S_BpXC10Zclu1EtzwLfcY,47
protcross/experiments/multiseed_benchmark.py,sha256=1HvJHgpFfctjT-MJFVyOaZUCrwyAwpWrh0j-pAKCf-c,7359
protcross/experiments/strategy_search.py,sha256=ud2FuSbG-TzIN_C-SQdrLVOAjsBgN47x6E0tVSVC7oU,9923
protcross/inference/__init__.py,sha256=9dcHRbrmrp0n-jpEuzX0xuQJuR8iun4WYXEDYSW-sGQ,294
protcross/inference/pdb.py,sha256=vo6nyj0MEGi1b-aPx0DTVW7Gik8FdwawAG7usVhqzfA,11463
protcross/inference/predictor.py,sha256=i6oRTcsrdhKiDdia0KxrhWI9eZ5BM9TP7vGwgM-ifdw,47632
protcross/models/__init__.py,sha256=4iPqbwK49KrgQfZYFRhPqqqXYc2JoTdsuLim2NNgnfI,100
protcross/models/domain_weights.py,sha256=m-pUHOO7KCnHZHAQ49Jb6HAGSp9UbL21en9Mu8osYp0,1727
protcross/models/module.py,sha256=DVwo0Jsz9SnH9sqxXCyzIhqjn8JN7nqzTZxz0lW_yV8,7569
protcross/models/backbones/__init__.py,sha256=ryJgfbKsVcSpvKFqKWmX9g1lPXPgEPLmlAMP_6kkVQk,100
protcross/models/backbones/pointnet2.py,sha256=RIS4V3ZdL8Em4LGWsLUaQKHpHUatBw0WPHwXMavwKM8,7784
protcross/models/heads/__init__.py,sha256=W2rDOqW0Gi7sNQPE3BFh6WlzDHmUWqwFN9osWYyzNvk,142
protcross/models/heads/classifier.py,sha256=8WFLGDZAdHbJI5AePscPIdq5OK48SVxrBm2UhmfvKzM,757
protcross/training/__init__.py,sha256=JqZW9JOzs15ezQeMXhAyTBCWwJf74gXGLl0H6PEPqjc,83
protcross/training/run.py,sha256=SOOrF36qPmuzXHDGQUSf6SlqQQUl7UNarts0MIHoxZQ,3355
protcross-0.2.0.dist-info/licenses/LICENSE,sha256=UP2pGn_aRLSoKZoRo-2eqBnyv6MX2NVEjhteZ74jx_E,1068
protcross-0.2.0.dist-info/METADATA,sha256=sz5NwpUeVDIZc_S-GxZS3iF_3DEX8ogWWv1dSMCnD8g,27150
protcross-0.2.0.dist-info/WHEEL,sha256=aeYiig01lYGDzBgS8HxWXOg3uV61G9ijOsup-k9o1sk,91
protcross-0.2.0.dist-info/entry_points.txt,sha256=nLtOmm4W7ys5XpyEo_UYzXHL4GhFdTYLen_l54X5o7E,364
protcross-0.2.0.dist-info/top_level.txt,sha256=owPvZENnBzzxXyiUT2JutkmiKggHvr8PCWvCrVUW5nQ,22
protcross-0.2.0.dist-info/RECORD,,
