kfold/__init__.py,sha256=SzMJfmd0kePfDQSJZ0prIqLV98OfrMv2LRtFdl0aYHY,647
kfold/cli/__init__.py,sha256=eLn2uPj0Ax6dMfWtOwD0CfXJURTJ9ai66YfayDnYD1s,667
kfold/cli/main.py,sha256=6sh3K3MnKcawnyvtCE8J_GCpybTLRCdjXCMBFyJ8GjU,1496
kfold/cli/multigpu.py,sha256=SOak5Sf7f9jkBFWDRSnsKUohJ9vUktURbl8tX6rusQo,3983
kfold/cli/predict.py,sha256=XXOFBPo4MJZvd61DjYP85CB3fX_LFzucugMSDRDl9e4,12917
kfold/cli/predict_complex.py,sha256=ftFiws4EmL5u0rlGry2yZeCWjq58Qwy2CKd5XCMQf5c,13043
kfold/cli/prepare_apo.py,sha256=DQhLlHNnquLWMbqV9r7fL9sZXQIhjijq02IX4bkP9jM,14357
kfold/constants/__init__.py,sha256=hWuG_N_M_8OYkDMnbf7SjPlTZ-npVQ66EJ_qUx7SL5A,1154
kfold/constants/atom.py,sha256=iifHkfICvsDccqJN1Afvznsq2yq0XSGrnzyNSahd_Sc,11616
kfold/constants/bond.py,sha256=uZLhy48JQRvu-7J6yTa9HyYYa_vOOZfyQSZ7VYaeFx0,1322
kfold/constants/ccd.py,sha256=Z2hCmG_pZGHqWLYTzusyuIPR6_E30DQ63QRM93jfJlM,28638
kfold/constants/chain.py,sha256=tTo5mwIm6_lUGctod5ZKTW7lOtY4Afg68lzcBe5uJZ8,2611
kfold/constants/residue.py,sha256=CUPEEHFQHe7XTwwyqxUPfR01U2JSvOuiFGg7cUu2Ctw,9121
kfold/constants/sequence.py,sha256=0aPo97kbK4EO5aNYqfTbYjxp7ET-OL1PhBpLkXwNXhw,4664
kfold/constants/training.py,sha256=0kvGip7n57VWXyfujKGOS30cXgAnF3PHHwSg5EYiqtg,2499
kfold/data/__init__.py,sha256=WwpGDYtXSRMIthr6C6xTa-lDGpWQxKqeT7jfxaPIi2Q,623
kfold/data/layout.py,sha256=vciMAPrArp5UFtFksrI0ZJSDNGn3CY6NX5c_beNsBSM,12143
kfold/data/pipelines/__init__.py,sha256=WwpGDYtXSRMIthr6C6xTa-lDGpWQxKqeT7jfxaPIi2Q,623
kfold/data/pipelines/featurization.py,sha256=jcBNmLecuEtiScLAkm2mZM6wiiMJ4BfWLQrPAahtm2k,8986
kfold/data/pipelines/prior_sampling.py,sha256=Dnr8XZf98puwwqKzf1v54gJAJERmEl1-pluxtN_KEBs,25664
kfold/data/pipelines/structure_preparation.py,sha256=wcrzAz17BH3V70UEdaEoiF3Ko-TezE-yN4U5TQXzIUI,9484
kfold/data/pipelines/tokenization.py,sha256=qHvqN1g4pz7jHaP2_IzqVTpVh_8ttL6dqy0VfKpsVdw,29532
kfold/data/types/__init__.py,sha256=KPwcEVmTB8nFG5mO2smEL0yax6RXbxmojQRrgG4gWAs,803
kfold/data/types/ccd.py,sha256=msU8xxKA204y6MEKZMbaWHLq02o-Q4tHvXeESByVzMo,30248
kfold/data/types/metadata.py,sha256=96pqfvCOxo5wT2m0WZN3Vf4F3UD99WhuJtiovEpcOSc,9132
kfold/data/types/model_input.py,sha256=sD0eAt8BL63BWIPQlJJssA9d4pHktLmt1_D8dBvAHnA,38194
kfold/data/types/structure.py,sha256=ne4b-S3EULyzXAamSK3knyDJz4LJfAeTX_vy1pWDlNU,32135
kfold/data/types/tokenized.py,sha256=y5oVWGGOmKAqywmWKGcSPBrg4KH-Zu4RdU6WB5gvPG4,34156
kfold/data/utils/__init__.py,sha256=WwpGDYtXSRMIthr6C6xTa-lDGpWQxKqeT7jfxaPIi2Q,623
kfold/data/utils/rdkit_utils.py,sha256=kAt6Rmjbdbb1-UGzGRW5RlWJ06W4aojNIZWEHhLp96E,5535
kfold/data/utils/io/__init__.py,sha256=WwpGDYtXSRMIthr6C6xTa-lDGpWQxKqeT7jfxaPIi2Q,623
kfold/data/utils/io/fasta.py,sha256=xsOAL4z_4ZR5KqOtqiNhO_X55EFtohOYQX3aOAZm_kg,4071
kfold/data/utils/io/structure.py,sha256=JC2Vz_uJtweukqkt5aU8Vkdp-HcKichyx3S2CIGpDGk,5544
kfold/data/utils/simulation/__init__.py,sha256=WwpGDYtXSRMIthr6C6xTa-lDGpWQxKqeT7jfxaPIi2Q,623
kfold/data/utils/simulation/bioprior.py,sha256=9SdMwW_3iONDIySh-eRfzf8HD_MYdKldsZ-DsmF59yU,6370
kfold/data/utils/simulation/langevin_dynamics.py,sha256=7YYbweP_rcZLiuGPmTl9yoEjJJdsuIEmrv1wly8CErs,10192
kfold/data/utils/writer/__init__.py,sha256=twwI09EqVH6SsAZ_eOK2G7x4o7DAreLywf3HbWN7mjU,690
kfold/data/utils/writer/gemmi_utils.py,sha256=_Q9-pknY-NkOfiLvyqd91I9YvJFNuHkNh5zFW44ESBE,15940
kfold/data/utils/writer/writer.py,sha256=z0dOMp2rt-UM5d9L_ZBmyFLIH-R5mMRJgXzQCeUXZGI,7975
kfold/inference/__init__.py,sha256=WwpGDYtXSRMIthr6C6xTa-lDGpWQxKqeT7jfxaPIi2Q,623
kfold/inference/apo_runner.py,sha256=4cct6XVonQ0J1zJH0MmeHW2cBOWIZiyR4O3GIGmaz6w,17207
kfold/inference/data_pipeline.py,sha256=xcnqJrJIUxl2iFpAygT448ADRDiqniTgaWMsWQ7FhZU,14515
kfold/inference/query.py,sha256=mClfurt16VAv203Lnf_3TIovnkrUhkmfgN8AAyUgFOk,21760
kfold/inference/runner.py,sha256=-NxeV_Sc9lGICB3bTeWgRQA42h2w3WWk7Ab4jPdWdcU,24208
kfold/inference/utils.py,sha256=KLhDyV0BBLi2bnha85QiecMWypPgfvH1npXLXeOtzco,5721
kfold/kernels/__init__.py,sha256=WwpGDYtXSRMIthr6C6xTa-lDGpWQxKqeT7jfxaPIi2Q,623
kfold/kernels/triton/__init__.py,sha256=QiCdD5_azyUO3Rt0jip7d6bk5Oqn6G2Rz5tx_80hCps,1107
kfold/kernels/triton/cdist.py,sha256=Vmxhe_mZXJLQnTWCiLAgfNV5wIfXN4kBcV2zqTnTVAY,11103
kfold/kernels/triton/_common/__init__.py,sha256=glaMbSMBJDSV4TPXRaQIW5BeIKDiqtMYvHQua6Kjvm0,973
kfold/kernels/triton/_common/dtypes.py,sha256=8muVcaiu8Sn1JTvfOJjjIyAynLQyfJzc1iOazHqC9WA,1197
kfold/kernels/triton/_common/layouts.py,sha256=iwGgZtOPz2H_t8uznEtSzOSbiWNs7CWELFd-CTRT2yE,2050
kfold/kernels/triton/_common/ln_absorption.py,sha256=xibPa-iTJ8HIQln_ottdG0McOf9h3-447Q4PJ02zDf0,3071
kfold/kernels/triton/attention_pair_bias/__init__.py,sha256=5d1PqrZtZn37sbO50perMCfVyxiYzU_16zWp6JGBPos,940
kfold/kernels/triton/attention_pair_bias/dispatch.py,sha256=STvRlBwBZuf3hDlGvj4EG6tIenyRj2PhRjvH262plEs,15710
kfold/kernels/triton/attention_pair_bias/kernels.py,sha256=qsi0MSOUkWEdtVJ3PoU-_F101O9RW6ObN1sSRz7aQ9I,21021
kfold/kernels/triton/attention_pair_bias/ops.py,sha256=3hKQTl3MVi7_NyqdMYu2clp0UUl4D5AtQOllnZeDZ_U,9037
kfold/kernels/triton/triangle_attention/__init__.py,sha256=1Csd971Q-ULqCAOTEsqBSM43MBQ42bn9sGXxO_dyYO0,808
kfold/kernels/triton/triangle_attention/kernels.py,sha256=V-XwTv_cChx2onwQMogvZ6__k6xoi33WNmUME0DAnrA,15131
kfold/kernels/triton/triangle_attention/ops.py,sha256=HUUxgTaPN8W43Cy2_iellOuz9hTzUNrP2_ee6kB_MlQ,5891
kfold/kernels/triton/triangle_multiplication/__init__.py,sha256=ee5BvShvxi0tyEQQB5W_fPLhQONVaTALiKTRF4myuGY,865
kfold/kernels/triton/triangle_multiplication/kernels.py,sha256=rNuVhGWZOUq5HNC_ylosneZlR9Dp1st8MNjKqfV5ko4,11494
kfold/kernels/triton/triangle_multiplication/ops.py,sha256=H-KNyKSD4ntfOyWQVUY34FR1W3N6rkGpxStJdHMc8Kc,3596
kfold/model/__init__.py,sha256=0GNAEcJbSNJ3xRFH_TAZdZpnkEZjXQsWFZq97Q_qfgo,671
kfold/model/model.py,sha256=dkNovQTY28aK6-Nu2U-FodB3ufAl-VgzN-nnWm6wJ8I,25597
kfold/model/model_train.py,sha256=7GgA177olp1kdAzfSaNDwWpsDnHeXnXPNcIbsK3yIMQ,21665
kfold/model/layers/__init__.py,sha256=WwpGDYtXSRMIthr6C6xTa-lDGpWQxKqeT7jfxaPIi2Q,623
kfold/model/layers/folding/__init__.py,sha256=WwpGDYtXSRMIthr6C6xTa-lDGpWQxKqeT7jfxaPIi2Q,623
kfold/model/layers/folding/atom_transformer.py,sha256=1gmijONq0s9X3KmcOOROWEhe-33QSXh1hieu6clkL4M,17583
kfold/model/layers/folding/attention_pair_bias.py,sha256=hP-TQorSoY-RwwNgHqerxLEB0-IS-u5sd8wqDTlwFUU,8320
kfold/model/layers/folding/diffusion.py,sha256=oJw0mKlAHO9M5_l7oVvARxiJqiWAOUpycxZEFsk6dzc,23869
kfold/model/layers/folding/diffusion_transformer.py,sha256=Jywm5Zer2PwTTgPGhMnCIPvMgs67lR0yXRoFH9yStfw,17776
kfold/model/layers/folding/embeddings.py,sha256=M8wOMW2nJ_saOWGf8eTCnW6JUMI-1ZLTWZ1OeY_TdMY,10610
kfold/model/layers/folding/input_encoder.py,sha256=EUBh1E_GdWQffepxJLK5jc3wCUI25Xl0VF32yp0gZ7c,3933
kfold/model/layers/folding/transition.py,sha256=8W_73hT9W1yVcjKeSyR6oSEZRSbpYCVdDsV3p1N2kkk,1916
kfold/model/layers/folding/utils.py,sha256=7WkfNM5U8CAdNS-CV8HdsSAgYtgVxcfMDCxgcNcnC0Y,6157
kfold/model/layers/seq_enc/__init__.py,sha256=WwpGDYtXSRMIthr6C6xTa-lDGpWQxKqeT7jfxaPIi2Q,623
kfold/model/layers/seq_enc/attention.py,sha256=iazpJrh_Q028AZtL6N-pW10otcV7-ktINGgJRXoNdZ0,3111
kfold/model/layers/seq_enc/blocks.py,sha256=edlWr9iNK9eu7GYQRYbUJOxUCY7p31gELBTZZQtg_ug,2846
kfold/model/layers/seq_enc/moe.py,sha256=3N_uLf8NMwGix1ET454RJVH3daCjsTND4yDml3qKCbU,9393
kfold/model/layers/seq_enc/nn.py,sha256=oMmW6eyC57N8Kg9XCgDMXbhxfUyTpx0iuN9mtvB09GA,1118
kfold/model/layers/seq_enc/rotary.py,sha256=-RBkShj3_oD9sRAt6JuPP4YT_kmQN8UmN7t7Lrok0Hk,3731
kfold/model/layers/seq_enc/transformer_stack.py,sha256=o3-puQjRbt2pubpM6CHM0n2uCy22TJ6fkLJOlMziDV4,2243
kfold/model/layers/struct_enc/__init__.py,sha256=MSjc4jwtpjUBIeiVSnydoPt4GDS1OFNWED_QIs0k7so,128
kfold/model/layers/struct_enc/backbone.py,sha256=jImfSJCSOeiS5x0pdNaOnvb4ItxLowiY-zYIpclMsRg,4781
kfold/model/layers/struct_enc/bb_tokenizer.py,sha256=_YhZog9sma99BfFejTSTjRZd3lawmnGy3Zpsgzlg7Fs,5365
kfold/model/layers/struct_enc/fa_tokenizer.py,sha256=BGYXYrE2_tg92ekMoIQ7jI6Pqw0oQPZC5WK-AC3Zcq4,6826
kfold/model/layers/struct_enc/nn.py,sha256=QeAlRT17Ng-X1_gxQvWkF1G1tRcjIbJFfIrDSo8bM14,494
kfold/model/layers/struct_enc/transformer_layers.py,sha256=5Mp5XH0A8C1fhCSbKbvrbLcBgCRQ8wi5zS4joiw7GlY,3944
kfold/model/layers/struct_enc/bb_vqvae/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
kfold/model/layers/struct_enc/bb_vqvae/affine_utils.py,sha256=UqlFN-IFf1i3W0fQRze2EWuhNJnwpcuWnc_sob-C8tM,22124
kfold/model/layers/struct_enc/bb_vqvae/encoder.py,sha256=9s0dYiAdvpDvbDa4Rzb3QGT8i-xc80LOlEIXXOBjvn4,6987
kfold/model/layers/struct_enc/bb_vqvae/quantizer.py,sha256=Z6195RNVOGDJuJ_EhRNo292OUqlQ7MKWVmHzPUunL5A,1597
kfold/model/layers/struct_enc/bb_vqvae/rotary.py,sha256=WO5_qRBC6pB1CgMU9FsgIt7iw46CzCLd_rBIjxX0yR8,7175
kfold/model/layers/struct_enc/bb_vqvae/transformer.py,sha256=s60h4VKK_UpN-dSdEKLC6JP2MvEEYpiRXJBE3dkZljs,13176
kfold/model/layers/struct_enc/fa_vqvae/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
kfold/model/layers/struct_enc/fa_vqvae/encoder.py,sha256=IqcDw2lEbDP25SLlKflzWL8_hwY9fw5NDmOWWlMh2ug,12212
kfold/model/layers/struct_enc/fa_vqvae/pair_bias_attn.py,sha256=U3kALoVVl0ewSgtTZsRez6Vu7SaJ7krSQS8oReRu-qQ,6602
kfold/model/layers/struct_enc/fa_vqvae/pair_update.py,sha256=EEJtX4nedpLxuAzzzItXoKfxOcj4kZoOkaHFx5khfjU,2546
kfold/model/layers/struct_enc/fa_vqvae/quantizer.py,sha256=Z6195RNVOGDJuJ_EhRNo292OUqlQ7MKWVmHzPUunL5A,1597
kfold/model/layers/struct_enc/fa_vqvae/tri_mul.py,sha256=ufhEHmzD0FRdS6gxm8dI_tWf-mlmJ37vL-LS4yT1N4Y,4251
kfold/model/layers/struct_enc/fa_vqvae/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
kfold/model/layers/struct_enc/fa_vqvae/utils/coords_utils.py,sha256=JxNbPbbrbLtn8AdMzHK4zDqy8w-u1x3WRK3UlEHCsLk,5055
kfold/model/layers/struct_enc/fa_vqvae/utils/data_transforms.py,sha256=ULg6vfwyYu4l1o9uhI5ytewzgrozT7j0IsYpi0NfwU4,6613
kfold/model/layers/struct_enc/fa_vqvae/utils/residue_constants.py,sha256=1r26rsox-xEYdHK1md-QksxMk3DqmQ0dka1lcQ7Rdrc,6324
kfold/model/layers/struct_enc/fa_vqvae/utils/rigid_utils.py,sha256=2_xbRS1CUfHwfg4adRZijoqNnD3Pd8Kgr_eF6XhqEmo,44160
kfold/model/modules/__init__.py,sha256=8B4gY51DgQa2BmDRRexF9ku6ylMvaQlW7nEtNwXfOuM,858
kfold/model/modules/apo_module.py,sha256=wLFTesgSmUi4Sk4NV8VlMwTgnvH1eReInJslVz1CDVY,12845
kfold/model/modules/confidence_head.py,sha256=r4EeBudGiZLDdaEimJlJSRBrzU8oPRM9x4tj8bfa9ZE,16511
kfold/model/modules/distogram_head.py,sha256=5OBIXYFifEEJpFKOPfMwVRq12E_Owl5z4Lgig9n7a3s,3538
kfold/model/modules/ecsi.py,sha256=uUAIGkh3UnvWauk1ZamyCg_OEeQdmUVHU2wfMM8eJA0,78966
kfold/model/modules/edm.py,sha256=DiEdvepaRpbvMZrOk0MNC-NivQvr-hREnsWdSChvYys,10400
kfold/model/modules/input_embedder.py,sha256=EiDIMoMBQllqtSRhN_SLlyKlx8RWdaeBIgD3uQ0qbxM,5860
kfold/model/modules/patch_geometry.py,sha256=aEVhrUyExl3SSJbkBvMJ3ni6aHLguxsceqRTo5ZRl8s,14204
kfold/model/modules/prot_seq_encoder.py,sha256=XeysuP-bny5YNjS8mHXO1q-kdJ_ZCQ-GBbCH_l31Z04,5168
kfold/model/modules/prot_struct_encoder.py,sha256=Ts7B17MbCJ3kcX1Jd9o7CkLt4xh8tq7jiaZvQnyXQbs,13214
kfold/model/modules/rna_seq_encoder.py,sha256=NfJCOuc9avtuJtnQPQPRlLaFFtdRPFHNiwqpiJ43MFM,6595
kfold/model/modules/score_model.py,sha256=vyB3yCheqdsVIDKg_2qcxDnUfLMKFUPggDbCH5aVybo,11490
kfold/model/modules/tri_stack.py,sha256=yOHOTJVhqaOPuFE-h6Q89bgbaPWV2S41f40GXf7QMxs,4221
kfold/model/primitives/__init__.py,sha256=cbPfLzo_2WYQPtqTGugqsnwRcNYfySEVw9h4tWYeBxA,1253
kfold/model/primitives/activation.py,sha256=dPtQs6HxNeCMpK1DJ1r1sZJb10E9EsCzBSII4BeEr48,1082
kfold/model/primitives/attention.py,sha256=Iid38lICUPQBSH4CkT8zMhW0X-ef5NlekHrRtoHsMlE,10489
kfold/model/primitives/dropout.py,sha256=liOFyNblk8NX9UnLfIqao2wGD1xYgqm_94fCSldW-B8,2572
kfold/model/primitives/initialize.py,sha256=eaoBLJzpXTITrQHnlE3lq_9iXRkPX14YAmu94e7I0W0,3063
kfold/model/primitives/linear.py,sha256=c70SSSaZELqs2OY4JrcLJWCuwlCPzdfLDk-KUCREh4E,4394
kfold/model/primitives/normalization.py,sha256=8QSrljBpDrPaTfBqMCsOy2V4VgEsoNIh7WmkBp9FifE,4499
kfold/model/primitives/triangle_attention.py,sha256=q4v4AvoXXXIUcWpDSyBYDfMaMwui5l6-EAMMutKNk2Y,13381
kfold/model/primitives/triangle_multiplication.py,sha256=ihhNROx8BmXnYsKyRBBuxqrGn7l1ZtrZmg-3RB944oY,9838
kfold/model/primitives/utils.py,sha256=fwb07C6-gmI4WT3tcTHniuZ-xrvBr59IIFGJa4IUcQE,3879
kfold/training/__init__.py,sha256=WwpGDYtXSRMIthr6C6xTa-lDGpWQxKqeT7jfxaPIi2Q,623
kfold/training/training_module.py,sha256=h7WU5q23av5mcYxfBtClB5Z65SlNVT1S00A5EU4nVRo,45025
kfold/training/dataset/__init__.py,sha256=T-YI1gz9LLDAf1ElSmAMJfC6S3wUllwhvNEEdy9W4gg,655
kfold/training/dataset/datamodule.py,sha256=DiCHRZm1UgiDvazXcOY7cjZ5SpotCU6hDaKYAHGOros,10071
kfold/training/dataset/dl_sampler.py,sha256=ev8RJRU2afLXHy60fyyoNXjpJsBsE44vwMv1LV-kPi8,4077
kfold/training/dataset/cropper/__init__.py,sha256=hW_Yi4NLI5gwy4HPaqmWiV7Vpnvnjn5H0TSJLOVGEvU,1093
kfold/training/dataset/cropper/alphafold.py,sha256=U54cXl4_4jSZ8YXmL6iSiV_rj_G1QQi3G6ZCU1ktyBw,13374
kfold/training/dataset/cropper/base.py,sha256=BsxcLWoOQe8MQmonGhKIiPLfOVjL0l5x5EUiTK2Kij4,8164
kfold/training/dataset/cropper/multi_anchor.py,sha256=KPcUt2qwHs5LtqxU4Gu65Tst6HDwcVC5HzvxYYfhMY0,21932
kfold/training/dataset/cropper/utils.py,sha256=BK01GfHtDuRi6woTo1Uo8zdC1VivjphziLY8iLRELZk,8277
kfold/training/dataset/datasets/__init__.py,sha256=PGQ-CyGiRo-mGjem2ev0nRAatlL_dT-R266GPskc7_4,1214
kfold/training/dataset/datasets/base.py,sha256=t_Cqs0joIdnnfbe3ALFG2aUd2iEG_b_3VQ2nVjjM0rE,34398
kfold/training/dataset/datasets/distillation.py,sha256=5UgOKDkoynJPul9UlPAU-BKmF8gugmEemPGXO7GxIGo,1625
kfold/training/dataset/datasets/rcsb.py,sha256=rla3NbtbCzUL9SH9-_VY1mLZrwHdJlAemuoohe3vomc,1646
kfold/training/dataset/datasets/train_dataset.py,sha256=H6QQRXgIZ5VOU3hdPMNJ4jpKMLAUn0mq8oRuS8R_Kck,28430
kfold/training/dataset/datasets/val_dataset.py,sha256=KHk7Xprb3NOZjqedTgUbiyvThN4WN-FnnkFQHTvRoms,2219
kfold/training/dataset/sampler/__init__.py,sha256=_Afhbwn7JnzYDhHkqUXviL7KgEl927D3KaSSnI-Sfbc,1101
kfold/training/dataset/sampler/base.py,sha256=I5Wmty5jXGYj71NwBoeHSRVw3bl63yVVvo6gs8_JTyU,1996
kfold/training/dataset/sampler/cluster.py,sha256=G6OAcVndDIH7bN_SSfYKhUrbRZR8ZBnAzI3wTp7MQl0,8633
kfold/training/dataset/sampler/uniform.py,sha256=1YW-F0jCERK4XDdHJM_mHOlzpTtJ5-miVYh58onDrQU,2107
kfold/training/dataset/utils/__init__.py,sha256=WwpGDYtXSRMIthr6C6xTa-lDGpWQxKqeT7jfxaPIi2Q,623
kfold/training/dataset/utils/apo_io.py,sha256=n9auss2uVQRcE8FjnlhDhBnoZbQp7vrUXVc1H3A7v10,8738
kfold/training/dataset/utils/apo_perturbation.py,sha256=T9RaP4q9VM1-Rs7BGRZu36Uo-izk9TO_bwoW6cnGr4o,3707
kfold/training/dataset/utils/pre_crop.py,sha256=1_TlW1n1bQFRQ3G9cK6i1d8Fh5D9cOZoVBEhBWjqBgM,7268
kfold/training/loss/__init__.py,sha256=NabPgEEUScbmxHdSbOOFuvcUNyhwPuvtF4meOuL7mR4,687
kfold/training/loss/confidence.py,sha256=9wxXLfiXp_lJ7WzFmBvU6Cu8ufPlWQv2MfoSYSX11KI,20809
kfold/training/loss/diffusion.py,sha256=aNUaTxfx_xSqedddBPa0rjjeZcFRNE3G0kdfT-nHqq8,15416
kfold/training/loss/distogram.py,sha256=D_rQsCEO7N8Je5f--QRBMulDt7EeDsYVR6iQKvzOqkk,2549
kfold/training/loss/patch_geometry.py,sha256=h_NJWe0FYYaDWOD2cOKDPv2slHVhfDP9MUh_8EOhSHU,1752
kfold/training/metrics/__init__.py,sha256=WwpGDYtXSRMIthr6C6xTa-lDGpWQxKqeT7jfxaPIi2Q,623
kfold/training/metrics/structure_metrics.py,sha256=OR36seugNrimwhbAVVmvSDF_66wJ6RWtmq09k_oKKPE,19895
kfold/training/optim/__init__.py,sha256=WwpGDYtXSRMIthr6C6xTa-lDGpWQxKqeT7jfxaPIi2Q,623
kfold/training/optim/ema.py,sha256=ihNQk5tiwGVQIrzPgObi4ID7z5oRwm3npqGbPO_viZ8,6985
kfold/training/optim/lr_scheduler.py,sha256=YYkVNSn_437TRTjDDSi-EO2eNRvxCQ6J-xeeV6Qy2Fk,4175
kfold/training/preprocess/__init__.py,sha256=nis8V0_4mikRb5SEJQHZIc-Aj6GtDddoWOp5BoMG25U,690
kfold/training/preprocess/apo_lmdb.py,sha256=_unKhLctrlcl4nYwwajZ5B7iixW-BPA3H6Px_z3l4rE,11534
kfold/training/preprocess/apo_preparation.py,sha256=saXgXF1ymoDgt0EKoyKjBxPjTjtMaib2B9p1pC62PWA,6797
kfold/training/preprocess/atlasfold_prediction.py,sha256=Zscsbaz-OL9K4gwfFV228oaidVxjnJmE3EsG4VYxk4A,10292
kfold/training/preprocess/cif_factory.py,sha256=h9v2tZJ-7aKXLrxBR0kFecA7dKOo1-1DsJVimbDca3U,46606
kfold/training/preprocess/prepared_sequences.py,sha256=dldHt1Ww53ZTLAo6na9-9JvGvw-pzPasx5-5DitDGNs,1937
kfold/training/preprocess/structure_cleaning.py,sha256=FfNoFsdxq-OAyaUdJWtKvxBvdH8B6dlNhgysRdpi1ck,4419
kfold/training/preprocess/structure_tokenizers.py,sha256=Kis08obx-3MMSrwb-XlnUCsMU0CoHY66HXXZn1kJOBM,1801
kfold/training/utils/__init__.py,sha256=WwpGDYtXSRMIthr6C6xTa-lDGpWQxKqeT7jfxaPIi2Q,623
kfold/training/utils/gradient_logging.py,sha256=deid-aC4KFSw2LW73zPUv8n91FBvAKh3Ek0BLOoOrdU,1435
kfold/training/utils/permutation_alignment/__init__.py,sha256=WwpGDYtXSRMIthr6C6xTa-lDGpWQxKqeT7jfxaPIi2Q,623
kfold/training/utils/permutation_alignment/align_train.py,sha256=qU2YQa6XPhZgcAF2gUfIrql8JmROzV6V1SakZz4-utk,25204
kfold/training/utils/permutation_alignment/align_val.py,sha256=whWgh6mkJiPZYYoa5shZy3Dic97QGsaFMMRKZ1qI_FM,15923
kfold/training/utils/permutation_alignment/symmetry.py,sha256=GS2cj4jO5qQ_ZTbNOboSxAX9wzh26O9skfP-Oc7EY7I,10642
kfold/utils/__init__.py,sha256=WwpGDYtXSRMIthr6C6xTa-lDGpWQxKqeT7jfxaPIi2Q,623
kfold/utils/checkpointing.py,sha256=knN_amx5TBqeb09ENFh9lJneXT8Nzl_LFhzPdRnjpwQ,3270
kfold/utils/confidence_metrics.py,sha256=xSjMQ8YG0QCdb3LFJYvzRsOyXPvPmmNkkcOJGbaTN9o,18453
kfold/utils/config.py,sha256=TTLgT7jHgkXdWgui_RGK3h2EthdYSPxn1oCb2FBNu8s,6422
kfold/utils/misc.py,sha256=Lxxo4sgTl5yRlaNJQtKtWTK--acL72AcPi-kEPjEmSg,3204
kfold/utils/mmseqs2.py,sha256=JwQwpqe2nvogSLrNjJVuMOXKgKrjcMZyYtF5sawGBxo,7339
kfold/utils/rcsb_api.py,sha256=ZduCOf58JaDuvqB9c5SF1xhp_IPBCHwpLHdsQ759-HM,3125
kfold/utils/registry.py,sha256=uIhZd6ZdDZb7Aqri7O6N2tzY4S6hjUup8hkSE2ex3bM,7934
kfold/utils/runtime.py,sha256=vlqlerLsEqpbP_h_2G6iE2G34-0nH_1hTzsPTuANdgY,1884
kfold/utils/geometry/__init__.py,sha256=WwpGDYtXSRMIthr6C6xTa-lDGpWQxKqeT7jfxaPIi2Q,623
kfold/utils/geometry/random_augment.py,sha256=_cTYKXItBxqpCUs4ED4gLm6ROQGYyPDJ-oP5d-lSb8Q,16794
kfold/utils/geometry/rigid_align.py,sha256=CzlVrXEMi6UCgZsyMiTqxvgnywm1TTwIhAHew4fFu5c,26104
kfold-1.0.0b3.dist-info/licenses/LICENSE,sha256=ywyAgZ0kxFlDVg8EF9LbEvrOKi6Oi3XEqyxJDuuXems,11388
kfold-1.0.0b3.dist-info/METADATA,sha256=4Eq8aRRrl2cdI16Z9AeuJR51yaRXVKhBfI6q0SJPKqE,18161
kfold-1.0.0b3.dist-info/WHEEL,sha256=YVMoNqKzERt-wjUZwJ33xBGAwnFl-4cqbYkTtWa4itE,91
kfold-1.0.0b3.dist-info/entry_points.txt,sha256=VATD2ikQUf3YJ_iz6MfkUJrm6Nj8L4ueLWveCTqU89E,46
kfold-1.0.0b3.dist-info/top_level.txt,sha256=rHKZhvwlCsta3BWmBsBuLYZ6P3gvky2eWHDq39lUpx4,6
kfold-1.0.0b3.dist-info/RECORD,,
