manylatents/__init__.py,sha256=5V8FN5ZcYEvenM44D_YPUZpCEll8ACV0Grhi0Hq2XWY,955
manylatents/api.py,sha256=m1sZ4stqxihZwQxXQdgutTCOPP_BN7MjepvlLzu8CAk,11110
manylatents/evaluate.py,sha256=k91A3qY9wkrfxvliBYhJNzrctvZ1jfSVigvgV_9Wv8c,15889
manylatents/experiment.py,sha256=mJsTWVkTmcksi7XYalXF2v5kgD7S0BCV54qjnvr9XhQ,17439
manylatents/main.py,sha256=VDpr-NiN_-KQ1wRbvwm8ZDgidZMwezXNJAl8gN46Cbs,8075
manylatents/algorithms/__init__.py,sha256=e5yptFXuYLmoQ9eIWez3ghbnJJ_iR0iKdaTHRUuLRfE,82
manylatents/algorithms/latent/__init__.py,sha256=TrbO9Zq4c3gkNZND42iw_OTx_zbJUkwiPIxFcv3_UWo,3678
manylatents/algorithms/latent/aa.py,sha256=IsZW1QphSz2DYrzyl7vwi5CiFJw-6ykq7C6QROpbU44,1429
manylatents/algorithms/latent/classifier.py,sha256=egGEJWC4ssXUeqtQKmBBhNELDXBdPY0IAzjlEqOMKBI,4100
manylatents/algorithms/latent/diffusion_map.py,sha256=95Jucwk2ps87zgNr5LsyxW5CBs2pqf8XRird1d1UW1Y,28818
manylatents/algorithms/latent/dr_noop.py,sha256=uuKigYqdn92GJpyO--8xAXPogkzEuPBsGyCIeAUObIg,535
manylatents/algorithms/latent/foundation_encoder.py,sha256=jV1O_eIjpU2iRrJ5T4tG_aM3HAK8KL6s8KxnqdSYWfo,9618
manylatents/algorithms/latent/gpu_phate_local.py,sha256=q4HQfNiaxRwcopTpWo7dSYfhs8WMRuypD8e6ADu3gAE,19830
manylatents/algorithms/latent/latent_module_base.py,sha256=HFAUdkLFM05EDutgYsNAUE6ItKOzKHtumT2_dMMFrK8,8174
manylatents/algorithms/latent/leiden.py,sha256=quKG1E9I13zxHp0GS53_0ZMUvkZ2-nVIJYxHYOJRjuQ,4504
manylatents/algorithms/latent/merging.py,sha256=prqNhkq4dfiTAOAX_9Me3o9TNYRL33Vh4WIbmv_7uD0,25898
manylatents/algorithms/latent/multi_dimensional_scaling.py,sha256=-R0_I6i4zjM8DIoFbOiyBDR9c8Bv2DtnaRVSUw7xzgY,10714
manylatents/algorithms/latent/multiscale_phate.py,sha256=AHM-2q-ndafRb5iPgmd4_mvNFuiyDr6YNc6Ib_j_7j0,7376
manylatents/algorithms/latent/pca.py,sha256=P1Z57klaj_6SkHZfs1Dhsx0z3DvXj81F5dlj8o8RUF0,11443
manylatents/algorithms/latent/phate.py,sha256=T9kJwinjJdmnTsSqCAFwI5xtz36r92uUWUEc2yVWcjQ,10724
manylatents/algorithms/latent/reeb_graph.py,sha256=Z-nyvJ5rtd1i-nXrTuBxkQX-TSjYMSAwMyWvOyOiAhc,14256
manylatents/algorithms/latent/selective_correction.py,sha256=rxONfXfGz5NyRoka-CaPQzod6ZkXWCJJxJRDZbeCrpA,12118
manylatents/algorithms/latent/tsne.py,sha256=NuK0SdYYL1z6qwVB_ONiiRXgNuWPhahUkuwLFq24t7U,10566
manylatents/algorithms/latent/umap.py,sha256=3epmMVL1nAHsOZFuEC4mf-HEf9CFWUE8pnEFcrTYN7c,6715
manylatents/algorithms/latent/tests/__init__.py,sha256=6xVIOXhwtyYyg5brCEsLtrjL6e4i3jEfb13fCO94xeA,30
manylatents/algorithms/latent/tests/test_diffusion_merging.py,sha256=Na-lUNC9IiXeQLsAnkaq6AQs3WNUWDrPW3oYbRNjHwM,3948
manylatents/algorithms/lightning/__init__.py,sha256=MlmZCHWtsOLWBV-BEhXPouu5GZxGOGKu8LlhQlVJ1T4,53
manylatents/algorithms/lightning/distillation.py,sha256=yDC_4Raesl9DnEYZgDq9Du9WS5kpghGuqPxCscQ3a_Q,13930
manylatents/algorithms/lightning/latent_ode.py,sha256=wjCISH7irWohA4v2h2L9YQc5qDgVJ0grOWNOcj6x6P4,5607
manylatents/algorithms/lightning/phase1_align.py,sha256=0YvD_rCZTovDjuHGNKSMURfF_DQVZLS48tay0y_EUl0,7825
manylatents/algorithms/lightning/reconstruction.py,sha256=ydp9QlmaJ_dRPAZzeCJQ1XP1A3nfOsubnWdbdBqtwlw,5528
manylatents/algorithms/lightning/losses/__init__.py,sha256=CFeIqmKmnxpnDkauQ4p1bRtfM1cQWVobsGuo66K2nNY,25
manylatents/algorithms/lightning/losses/geometric.py,sha256=5n6s2VVmy7EzDsYxcTjBMvrztu-FfN4vNvP8VkddZoU,5696
manylatents/algorithms/lightning/losses/loss.py,sha256=bJQpTjO5Mzl2vW5RJ7BQUI7PMyvVZBXPuPHtFwB-plc,699
manylatents/algorithms/lightning/losses/mse.py,sha256=bL3_P8qmU5Nglt4Mhuzb0rVmjPOoEbZXGfA7JmUvYz4,279
manylatents/algorithms/lightning/networks/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
manylatents/algorithms/lightning/networks/aanet.py,sha256=qrcxly5WZKWQ83Rg-MUsiedFhWwRtNTU4q3gllTYukA,13003
manylatents/algorithms/lightning/networks/autoencoder.py,sha256=pAzjOsJT8wSWtV-yP-KaakUTq4tw8m9TvKwsepTbNfQ,2620
manylatents/algorithms/lightning/networks/latent_ode.py,sha256=ojCD9gRisogPaKbR6hWEB_D_lIhP_IYEPgTOzwh6ExU,5465
manylatents/algorithms/lightning/networks/network.py,sha256=hhC2rq2g-HREZRbMpeIgappoyAeoq8kWjGvcu3RpCd8,175
manylatents/callbacks/__init__.py,sha256=H1y_tI8rEs0PL-vfJXTgWG9dIR05N3iJydxkmS493wY,507
manylatents/callbacks/callback.py,sha256=CMYTchLy2js_wHtCHjF8e5qwYFeaZa9AQ7IrlL0__4I,641
manylatents/callbacks/diffusion_operator.py,sha256=OAheyb3FpkBntdSPCcFT9eYXa88Jt6WM82oJsRohVQ8,8194
manylatents/callbacks/embedding/__init__.py,sha256=ijPilHosOPaJ4i8scjBK9wLe6aqcTwWV6eed5RpzJ8U,554
manylatents/callbacks/embedding/atomic_writer.py,sha256=gHlqfUvvHD9b1Rw6t2jMd3f0jRMYhliNJ7Cw1F4Yy3w,4711
manylatents/callbacks/embedding/base.py,sha256=9n1yozM_fskD0XS20iLE5oiv1A0jW8n-ecYHt9oyITU,4880
manylatents/callbacks/embedding/loadings_analysis.py,sha256=jSIR4h_3ASO5yhR1abX09Io6kME6DeZj2JAdo2M-CD8,9011
manylatents/callbacks/embedding/plot_embeddings.py,sha256=fmE-2_BfNGyvCx55_O7hFF5uYBRAG21drMUHJT-_kz8,22880
manylatents/callbacks/embedding/save_outputs.py,sha256=dz1yUkpHR1cO9hd1dYruVX7m2NkIE9X1e-ulTWmaeBQ,13629
manylatents/callbacks/embedding/wandb_log_scores.py,sha256=K0qIm0KFPNd_fdEbhNWABpOCP05KcgS32A6p9Oi9z7Q,6369
manylatents/callbacks/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
manylatents/callbacks/tests/test_probing.py,sha256=XCSPIbJxSq6UqLttaPd8OYMbhA1C4NfZ4MdCfICfsAc,5959
manylatents/callbacks/tests/test_wandb_log_scores.py,sha256=zy3xeB-mG3PkbWXLo--9S31whvsNk7jOq3P2ELRo3ew,3658
manylatents/configs/__init__.py,sha256=zKBPwxzX181PGct1poyX_vxfa_4PIaRUdNz1Od_g6hA,887
manylatents/configs/config.py,sha256=H0OjiH_Bd2EqMlrxwwF5CGL-7UGT87WMaM1tSF8euLA,2984
manylatents/configs/config.yaml,sha256=oFyAZifhM-NyISSdQS4cnJBgYWy1WWSruxDf1JVsgzw,459
manylatents/configs/algorithms/__init__.py,sha256=bIBIn56vKtEsU5bTodHkAGF5aCbOzm6tOBX3gAAwU3s,70
manylatents/configs/algorithms/latent_base.yaml,sha256=ayHy4-GyVAy0JrFooOPWVApi8ZYmWUffrkLy9TJXbX8,40
manylatents/configs/algorithms/lightning_base.yaml,sha256=wg-I7qJlkdG9Uzi-NQS_1ijQpzllNq5xU55jQD86TW0,40
manylatents/configs/algorithms/latent/__init__.py,sha256=S4gPOzUxHJBCppkU3JkLxgGlkamU_Qf-uSNEZXf5iGY,148
manylatents/configs/algorithms/latent/aa.yaml,sha256=13Z3ugLVZKykrBaO1vN49UodSrj2DqFqaj_RWKrsRWQ,196
manylatents/configs/algorithms/latent/classifier.yaml,sha256=6pgjLmRdODObYqq9VDEleetjdwCflDh9Wy-EcOmPS3c,134
manylatents/configs/algorithms/latent/diffusionmap.yaml,sha256=Zwxb4ojcv37zIqghly1mPI0nOyZkiWM1ztORg55gUSQ,275
manylatents/configs/algorithms/latent/leiden.yaml,sha256=uSeB8orhQRobvUrhxL9-PsFkPefFyK5Xb23Ti93ejJY,197
manylatents/configs/algorithms/latent/mds.yaml,sha256=zOoOrjacyqf_TskFR5_B0sGVMHQrl_LqV8Y3WV2SMas,345
manylatents/configs/algorithms/latent/multiscale_phate.yaml,sha256=JzD63o9Ktv7OcPw7AUdKqrgkkMbtWE2kKWqXAGjOFvM,253
manylatents/configs/algorithms/latent/noop.yaml,sha256=3o-daKwNZ0NNJK3QO9exbHCXAEYZS2XQ8XxCu3jdNYQ,58
manylatents/configs/algorithms/latent/pca.yaml,sha256=ivbiyl2NhjnDujak2utqZBLlq5RlGZlTX4KrevZlZXo,92
manylatents/configs/algorithms/latent/phate.yaml,sha256=LBPB_LysZTnDCzPX3Qh54quRE84f1DqO-EtXGSsSHFA,301
manylatents/configs/algorithms/latent/phate_torchdr.yaml,sha256=2v_PBEuMQjM3SyvIZwzezBv4qNFKx8Mnp8DGlAcOu-A,177
manylatents/configs/algorithms/latent/reeb_graph.yaml,sha256=sIszpCqWifWZvln0LJi46P-9vFDAzIyR2Kjs6KhtQDo,211
manylatents/configs/algorithms/latent/reeb_graph_density.yaml,sha256=BzC03wfU4qNz4m1BcY_v5dJznfx51U7w0FOv1edCtt8,222
manylatents/configs/algorithms/latent/reeb_graph_diffusion1.yaml,sha256=x5os8fquD909cNQzZ-mJkrSdnaqccMeWqNAW8HM9ySY,235
manylatents/configs/algorithms/latent/reeb_graph_pca1.yaml,sha256=nwO57mQUX5wtN3fmDgeacsIaAp7BD_rylgrWxu6N4BA,208
manylatents/configs/algorithms/latent/robust_local_pca.yaml,sha256=6kgNTWdAI0Z-J8KPkb7v5iS7N8pW58F4aoSjmBNAey8,249
manylatents/configs/algorithms/latent/robust_pca.yaml,sha256=0IHPh_4dr9fkMSruAw2T6UZA12G3DxNPMbkJcP71Y8A,280
manylatents/configs/algorithms/latent/selective_correction.yaml,sha256=fop2PSgEJpCWNZke5K6dUIUS6mQVRVzm1umXCfbH0L4,535
manylatents/configs/algorithms/latent/spectral_clustering.yaml,sha256=WQXHIMlCqy1lpY3tXFOZ3u1vDYOWTGqYruN5LGsFvq0,278
manylatents/configs/algorithms/latent/tsne.yaml,sha256=LW0sXujUS3rl0YgLsXdyWmQvXt40acVL3uQjDg58Y8E,292
manylatents/configs/algorithms/latent/tsne_torchdr.yaml,sha256=pN2jhbgNueTyPUQ5Gj0-8DQlC6o_0jKo9CmdLBI1-uU,157
manylatents/configs/algorithms/latent/umap.yaml,sha256=L9RrqKASvDRmQ_LWXL7Se1sBH1gSqQ0zH_7oOyyPbFs,289
manylatents/configs/algorithms/latent/umap_torchdr.yaml,sha256=hD6bckW1Z_jEKUe6yHTfgtlz8iH0Uedai4I7fnDezKQ,172
manylatents/configs/algorithms/lightning/__init__.py,sha256=ZOPXMm0Crcgs-8MALZCZyCEujpjsemqWe9pjz37Usfw,62
manylatents/configs/algorithms/lightning/aanet_reconstruction.yaml,sha256=93c99rHGuF-82bdmDPlSHMmF0E2yMW3my0P230Wc6CM,526
manylatents/configs/algorithms/lightning/ae_reconstruction.yaml,sha256=jJbcth9AEl-ZJcvWq5wsIaWyC2HA_ysCtK_0JD8qG6I,502
manylatents/configs/algorithms/lightning/default.yaml,sha256=SvquCmgUVccrcw-MVjZCVO8jqPlIXF0kqo5c4mosfdM,56
manylatents/configs/algorithms/lightning/hf_trainer.yaml,sha256=g1vRFY3lko0BNzZUyMHdWPoc3N0bBFHrT6Ca6UhQ69g,450
manylatents/configs/algorithms/lightning/latent_ode.yaml,sha256=FgQ3-84kGXa48H7ySBxIRAUWAPujFRQlFGZSu9B3G2k,598
manylatents/configs/algorithms/lightning/distillation/base.yaml,sha256=b6DqzyfS7rwqvlFrwKGm6k5NIcsLnzcRdRniLLF9riU,1398
manylatents/configs/algorithms/lightning/distillation/control_task_only.yaml,sha256=PlvT_BQPkQeob1zV1rYpTInau9H0wjHqrZUUs3Qvn6w,981
manylatents/configs/algorithms/lightning/distillation/staged.yaml,sha256=wbCTURgleJEZeTIHGzXh3KObuEG8Xk22Spx-GIB6sn0,901
manylatents/configs/algorithms/lightning/loss/__init__.py,sha256=-wdynTG0Hlx8tXxMnefH270_3ZWkaty9GVUpFBnpp-4,66
manylatents/configs/algorithms/lightning/loss/ae_dim.yaml,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
manylatents/configs/algorithms/lightning/loss/ae_neighbors.yaml,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
manylatents/configs/algorithms/lightning/loss/ae_shape.yaml,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
manylatents/configs/algorithms/lightning/loss/default.yaml,sha256=8v3OPTw5PJngBgKHKMAAtdL8bCXd72Bc1761yl3xgiQ,47
manylatents/configs/algorithms/lightning/network/__init__.py,sha256=LAgzEaVQzwmp3uag39ogu56qpgORHX3CKd12PEsHxeA,72
manylatents/configs/algorithms/lightning/network/aanet.yaml,sha256=Duj3uv71nlyWOZtdvhBxHf5Dedc_JWvyE_2Op9c1aMI,263
manylatents/configs/algorithms/lightning/network/autoencoder.yaml,sha256=anr11xSkuf07ipe3yTEmmnr1HihqIWguHhHIM4g4YI8,181
manylatents/configs/algorithms/lightning/optimizer/__init__.py,sha256=9_T9pfDo0FXX2XG_rYUGlc4-8SP49wbWugm_Mmee6XQ,76
manylatents/configs/algorithms/lightning/optimizer/adam.yaml,sha256=FsAuiGKE0cqzsoLXptbzVaCtzDY1HcFAe-qs4qPBL9I,58
manylatents/configs/callbacks/__init__.py,sha256=qeVNY1S8w0-HTYl_fue5XwcbJstvqpn1SP3XA-LZ-Ws,71
manylatents/configs/callbacks/default.yaml,sha256=fthgb-ISI4DQyD9dY7tTdtnq126KS73yO8N4OFAKmv8,52
manylatents/configs/callbacks/embedding/__init__.py,sha256=RBiPwZIaAZz5ds3PiyhKu2trhuACfA3hNgLIxli8l3k,84
manylatents/configs/callbacks/embedding/default.yaml,sha256=bunr4zz-ruXWFa2EDUgMlWWaAzBOelwT-2wetH5ol9A,78
manylatents/configs/callbacks/embedding/loadings_analysis.yaml,sha256=ks0cw6KqQ-4tOgpODUU8JwYiKMcVzVV7Ex_czHlMZRw,303
manylatents/configs/callbacks/embedding/minimal.yaml,sha256=R_MEPBAiQcfuX1t2N6xQJNOkAR86cGsx9lGEq8GrlRE,134
manylatents/configs/callbacks/embedding/plot_embeddings.yaml,sha256=12G9Rj7P_xnKnRQjpOviy04Cs_hDeTM9XtmEumazx_s,241
manylatents/configs/callbacks/embedding/plot_embeddings_offline.yaml,sha256=JKq34Ovu6YBB_8fmWKAi7OD7XPXQuRbUjA6ZPzsApvE,323
manylatents/configs/callbacks/embedding/save_embeddings.yaml,sha256=RqGqKN6Txs6EIahU2iWh2BxD4l3DOxRVIVaKYMETcT8,27
manylatents/configs/callbacks/embedding/save_outputs.yaml,sha256=4rxbRbPJxW-3ff34ReN7u712vyrcjx4jwFzMCWvhQXM,198
manylatents/configs/callbacks/embedding/wandb_log_scores.yaml,sha256=OC4rxJA3-ICbcvpYOcemymUNs3akRwgLpLVW_43sQn8,237
manylatents/configs/callbacks/trainer/probe.yaml,sha256=qSMjajmJWVMDFQSxv0Nqfvo_-vG_KRMWTjXEvE7Sakk,612
manylatents/configs/callbacks/trainer/probe_pythia.yaml,sha256=4Te8AgH8a94nni1_KDJHUYhGk38Obpo4QI-RIlBCjP0,757
manylatents/configs/cluster/mila.yaml,sha256=HvCbUVMmHCWmC8s3NLpY_prVyE3OJEjZcVg7mHn2wzQ,1299
manylatents/configs/cluster/mila_remote.yaml,sha256=pCIi8ab-dOtztoGBuoMQzhahSZPdKQW3ZpH9tDzxMY4,1703
manylatents/configs/cluster/narval.yaml,sha256=xPaF4Wv2UViqT_sfhdhkU6TnufAW1ih2cx2O_xmV320,1279
manylatents/configs/data/__init__.py,sha256=aZURMsLg5Kdk2vpdHTJtn8aoY-pZ_trKiJf_7npkQDs,790
manylatents/configs/data/archetypal.yaml,sha256=sdyV0hDEAtMPcR1dSPsS-Y-3q30NG8KesuPajZP8oN4,359
manylatents/configs/data/clusters.yaml,sha256=FkPT3Xp1zaOIFkdft-vgTorFiz1gOlBLBZwBiT6L20Y,40
manylatents/configs/data/default.yaml,sha256=-0Wb75euyRkveT7YZH-a778K8J-T-cVJiXsxoRDnFvA,54
manylatents/configs/data/dla_tree.yaml,sha256=XBTJ8Dr1Peq0RwDvJoG2hwJjszbqqMulUaC3RKewwwg,342
manylatents/configs/data/dla_tree_from_graph.yaml,sha256=EKBU7Bbl8_nGgpoXpeNExAVDmyFah5w9Zg_aDPQ8WAg,1580
manylatents/configs/data/dla_tree_from_graph_nogaps.yaml,sha256=nq8QOtS4Mi_-AUCTkSiisVml8rmzaCs-NRPeGBg5C3Y,1310
manylatents/configs/data/gaussian_blobs.yaml,sha256=fnlmV16Ow97i2qCQbrmhx6p7QmjFK-kdiUXsYM6UdBM,269
manylatents/configs/data/mhi_split.yaml,sha256=CJueWVPor1RnNjLDDu2zA0KHEyhm4cM0tZs_G4iMiuA,927
manylatents/configs/data/one_blob.yaml,sha256=bacllof-G6UQmOhBoGq8ydG6rFQRW8dAimbtpvOb0wk,40
manylatents/configs/data/pile.yaml,sha256=nQFr6Vr6ml47K_gT57nMJt0JtZELuIfTHESdYiQ8tB0,508
manylatents/configs/data/precomputed.yaml,sha256=JBd7eeBzN9cG15tdKpJ0qm6FDFU8iE-Oxy7630FAD9E,450
manylatents/configs/data/reasoning_trace.yaml,sha256=wj6MCB8tlS2Y4l-4zjcMYmDgkTzSfMiIK4RIHM39DLw,181
manylatents/configs/data/saddle_surface.yaml,sha256=5UQwAoan_-h2IPMlPNgnfviTgpqxuSXIYLlmr4i1ogA,320
manylatents/configs/data/swissroll.yaml,sha256=zpfX4c1gTZejI_CNanNDi0GQwAwu4Qm8RAReszA4TXg,312
manylatents/configs/data/test_data.yaml,sha256=_60OwwHMKaIzS4dq-7EAGIMBSGblT92RT_Itno6vBrQ,74
manylatents/configs/data/torus.yaml,sha256=uw9dsP7vh4xMMvbneF6MGOWG1_3YRYUAfNPLl17461s,318
manylatents/configs/data/wikitext.yaml,sha256=SHiFWFLl9tkRj0FmbXAwTXtlvuO68ebvbi2w_pEwKk8,384
manylatents/configs/experiment/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
manylatents/configs/experiment/backend_comparison.yaml,sha256=9K0nNQYzl3B7AUoignNTjn69an3FgW-O1bZ6TAOOE30,871
manylatents/configs/experiment/eval_algorithm.yaml,sha256=GT_RHELRD6OQcC7z3RSyP4V2tTnDNSRCD46KT6xc-5U,624
manylatents/configs/experiment/representation_probe.yaml,sha256=1txTCEXRGvhm2x8gCxaNymoRe7MaLWJ6jirVZus08Lc,1152
manylatents/configs/experiment/representation_probe_pythia.yaml,sha256=m9CoHhY3ziHWzJFMzdO6Ti8GLVzp7IZ5X2G5YLdewEA,1291
manylatents/configs/experiment/sae_training.yaml,sha256=1ArLKv4mtgNmoyPT1r5TACluMz-FkSbJsWEXF7hLUfw,864
manylatents/configs/experiment/single_algorithm.yaml,sha256=n0GcTu6fj62WeTuCdCu0JrUhw6t5b4Ug-oTKZ821t6g,280
manylatents/configs/experiment/single_algorithm_no_metrics.yaml,sha256=Bn2-f8ntemWk__DpIAHpr7Ubpq9Kf7jcDZ-CU4Po0Xk,399
manylatents/configs/experiment/torchdr_parameter_sweep.yaml,sha256=lWWt6M6qUE1v_018UEMaBYL6Vw8KJheg_9YQKCtwQc0,875
manylatents/configs/experiment/torchdr_profiling.yaml,sha256=I8V74iU9xMR1hpFIQp9SOrKBmRanU3roRwEs5-dKIfQ,685
manylatents/configs/hydra/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
manylatents/configs/hydra/default.yaml,sha256=vnbBbxJSVXUOxXE9ZWKatmA7GRDlfkpt4qYHkMF56uI,133
manylatents/configs/launcher/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
manylatents/configs/launcher/basic.yaml,sha256=hN-XXC0fli_TZwi1TelAApLhh2VCwv04ndhrSvIIeBs,68
manylatents/configs/launcher/cc_cpu.yaml,sha256=6qnwr1qhGSolgQMvEi-fKi0rB9XGG8dYxR0dOkrrPDo,415
manylatents/configs/launcher/cc_gpu.yaml,sha256=gJeZpqQq41Z8EnrMrCXx0KP0_9dv08T0IoDLh5so2yw,451
manylatents/configs/launcher/cpu_job.yaml,sha256=wMRo8vVL7ErXpNHmj5pH3zj-C5Ms5w-50SPbtfX3KHo,133
manylatents/configs/launcher/gpu_job.yaml,sha256=A6SAR4BWOxa3kpbIYf7W7j6zEjHmV64k6sJmSO8ktxs,154
manylatents/configs/launcher/mila_cluster.yaml,sha256=cgkKDsDKY4gYMVrSshbU4nb-h9jfwI_wy7S0dzrfhnA,388
manylatents/configs/launcher/mila_cpu_cluster.yaml,sha256=pwkfFIA69v890C9YDv-r1XXC8w-5IFh0i1gkvVZXGG4,394
manylatents/configs/logger/none.yaml,sha256=QGQ6OJM-CKdFIQbVrAjXxuCxVaL7p5HvBQAcReTuKd4,157
manylatents/configs/logger/wandb.yaml,sha256=0wZjscQ0BCZ-IVXbbjiDv2aYVMp7_Qpb-StRBvMBEzo,279
manylatents/configs/metrics/__init__.py,sha256=3rUvt2Lc6kGVipoGYkX_FpDhlTgXfdp405FSzPuO07s,77
manylatents/configs/metrics/admixture_laplacian.yaml,sha256=5-d62mdoubA79O6mDsM59LaduuLDFhPKQfhbryr86fg,122
manylatents/configs/metrics/affinity_spectrum.yaml,sha256=POOqTHqZM3I8YKndKcHZw_pw8to9_3k9SD_Z0_Lyxi8,117
manylatents/configs/metrics/alignment_score.yaml,sha256=_UQtC3rJDZzU0n5aluec5YtMFgxoma_dNIz6-0r1SSE,140
manylatents/configs/metrics/anisotropy.yaml,sha256=a3_xblOG-ozxMmRf4Q8hsvb8CJXIDe9qQkLICHLu9EQ,100
manylatents/configs/metrics/auc.yaml,sha256=wfQSdiDGss4K3cUMxkokyB9BYnJPyntIOAiCOiJ2lBY,79
manylatents/configs/metrics/backend_comparison.yaml,sha256=dqJhxxgEDtWBVvl5LTuSHZ-1U51PknUgkVYYFTnsjEc,122
manylatents/configs/metrics/cka.yaml,sha256=rermotALNbSc884mdKXFgOkCDs7OkBZ_4AIfC-9MdTk,96
manylatents/configs/metrics/connected_components.yaml,sha256=wSpDKAkyXxpNDxQ1_7YEjr7QxRD40jGOUak1rl_wo44,126
manylatents/configs/metrics/continuity.yaml,sha256=jn3YawSqN7mkKL9HhNpoVbmfSmYVlHFOUwpQGZprjQQ,126
manylatents/configs/metrics/cross_modal_jaccard.yaml,sha256=KemTH921H-OrwHUYkzLhe0ZejHD-cAjYC5q6DZP-oyk,153
manylatents/configs/metrics/dataset_topology_descriptor.yaml,sha256=5okc7WdAoEJ-FTCrIJDjbFrqKy1cBzyZmQN9cdjAGWA,146
manylatents/configs/metrics/diffusion_condensation.yaml,sha256=xCNVawEO6Mwkr4B_mYbfFGTPTkTT329hHvXMDWB86Sc,226
manylatents/configs/metrics/diffusion_curvature.yaml,sha256=f-kzuCUVzd_setIyyDBiRPNC_uJk5r8_0D1teunQsSc,149
manylatents/configs/metrics/diffusion_map_correlation.yaml,sha256=rQyQIsbQOplmUIOhRVKbiU871PNYu23_q27z19qatAM,202
manylatents/configs/metrics/diffusion_spectral_entropy.yaml,sha256=DV8Ai_8yTwFAwOzu1Xspd3ew-8PDrjdh7EkbRMJzjwE,181
manylatents/configs/metrics/dse_dense.yaml,sha256=zZXbRRj41Rx2r8qhf7n3F1IVxKE4PlSx1LBLhLVjgzI,473
manylatents/configs/metrics/dse_knn.yaml,sha256=coTuawoDIP7sP2AAHlhQd_gxa1sgyT1jkSD0kw7Pr4s,526
manylatents/configs/metrics/dse_t_sweep.yaml,sha256=t63IvSK0BKnHiBBfhd8yU5zdKvrJinioANz8Gm9_U6U,564
manylatents/configs/metrics/effective_neighborhood_size.yaml,sha256=zEnUqxdzefwh7hHxrLOEd88kQPhRoOt9qfgFYf3FA_o,146
manylatents/configs/metrics/eigenvalue_effective_rank.yaml,sha256=QsMpb7aqd-2uq7jvIUhtKL9ZZ3AjMrgJ9XlQWzlt5iA,177
manylatents/configs/metrics/fractal_dimension.yaml,sha256=ejW7q_8FudBPcsHncSNJGhcIoVv3R7M6mqatPrAkq-o,138
manylatents/configs/metrics/geodesic_distance_correlation.yaml,sha256=VBoKlIpHjdPn2TMAqWTfH-8LTKhJFzFCgb4qbIoP_fc,184
manylatents/configs/metrics/kernel_matrix_density.yaml,sha256=mlKBP6EaD6qB4XIDCbdx4P1GZhhhZeSgL40PhV0k5Sg,148
manylatents/configs/metrics/kernel_matrix_sparsity.yaml,sha256=taIajPa_qJmbPVX36tQ3c2uuZ0K_s5cVfVNFqsPrjgo,150
manylatents/configs/metrics/knn_preservation.yaml,sha256=BqGavJZPuUdr53Z0jrVf-cJYUxZRB_V7GCJidftYBP8,155
manylatents/configs/metrics/local_intrinsic_dimensionality.yaml,sha256=6EseTmpnZX6oB4EIyGJseELXKw-yMvKoKFM_dKM4JIk,139
manylatents/configs/metrics/loglog_consistency.yaml,sha256=TdRXgFhnuo9kKuO2driipu3OCt-7FGvvEHLYC2V1bGM,157
manylatents/configs/metrics/magnitude_dimension.yaml,sha256=LwEfAfVTlGZLo9go_DhqH4RtkW1Az-3cLDlFXqP6_dY,423
manylatents/configs/metrics/mismatch_ratio.yaml,sha256=edYBmQXxhBBn6Swut7sgkMsqSaSfrOfk1bf9z2yBkng,166
manylatents/configs/metrics/noop.yaml,sha256=WsZ1-Xk1MhHcJkdtbHGKsEoBaRKlm6O0HfeDFoUdt6w,82
manylatents/configs/metrics/null.yaml,sha256=F0Wt1XQCVyNyACy9vnV2MH4j_IkhWXdqDIpV2Zqid14,79
manylatents/configs/metrics/outlier_score.yaml,sha256=2ZXorVoYMs6Z-OKfOTpxS1L_ILmhslM3IJTaZlYuuH4,139
manylatents/configs/metrics/participation_ratio.yaml,sha256=pHnqkrqWHmzpwvM6rCPvH6bVCIpLiyDZmQUW8_BcbDw,177
manylatents/configs/metrics/pearson_correlation.yaml,sha256=i_hTU4OsJQAW9X8rbDVuN2XhNBeCvmOAtWYx2R-4qwU,162
manylatents/configs/metrics/persistent_homology.yaml,sha256=lniqoR2WsBf5ANsg0w7MLh-STNulXqDOuOHCIWA2eh4,204
manylatents/configs/metrics/persistent_homology_beta0.yaml,sha256=NvN79E6EO9AsgOTMnojv2k8NJe7IOn2dIrTm8YWI87c,372
manylatents/configs/metrics/rank_agreement.yaml,sha256=2eGCaFyavbWencJOdMI0Sc07ujXSvO0zJy9nOOLzl3E,136
manylatents/configs/metrics/shepard_residual.yaml,sha256=Ag3WnweRZnHUcR8QVCsWv_G-QCR_dkkYCiCrgu1ZzgE,125
manylatents/configs/metrics/silhouette.yaml,sha256=OGUTkbq3YjvMebe7d4Dr6JTM5oyqVsyNw0yJPVgcXSE,127
manylatents/configs/metrics/spectral_decay_rate.yaml,sha256=KV4tMoYSCIkpiSTb13lwxlfaFFjg9iNoblfvrQCZPLQ,134
manylatents/configs/metrics/spectral_gap_ratio.yaml,sha256=Y2WQTk5ubWouW_3GZjosREfsmHG7y3R3LOtCFmRcMWg,119
manylatents/configs/metrics/standard.yaml,sha256=ODEXT0DUmzcZCnqwS6GKxo3auWZ7OVjR1rG8EcMEkzA,100
manylatents/configs/metrics/stratification.yaml,sha256=XZ5rYk9dDZ_q-ObvCpdAKgv9hXwC6xvw6oTvRXeRq_8,141
manylatents/configs/metrics/tangent_space.yaml,sha256=M2l3yBQkmza4N8s-DleaxIJTCG5pMHsJD7CyyKnoCU0,192
manylatents/configs/metrics/torchdr_parameter_sweep.yaml,sha256=ODmDhiBHUPySdbd5cRH6gSW2luIj2raHvJFixuGd3O8,124
manylatents/configs/metrics/trustworthiness.yaml,sha256=y1NFUFb4NXJvr6Wfa-tRnCTI1cH4imAsPFztywC-G9U,152
manylatents/configs/metrics/trustworthiness_k.yaml,sha256=sF3Wg9iNThKKhrwls_HNF25Pnq8LYdHVSxqXvqB8MlM,169
manylatents/configs/metrics/sampling/farthest_point.yaml,sha256=ev7mLLfVz8XARec-3olF-4LUNFsnTWOfY6qtlMtTNjc,279
manylatents/configs/metrics/sampling/random.yaml,sha256=lVzEt5s6x7rqUpexS4hVTFfHDSmmi9A6npjtxtXOp3Y,171
manylatents/configs/metrics/sampling/stratified.yaml,sha256=emlxIac5zdbOij-Q_Eg9BTtP9S7sM4y8HCt2OEHGDh0,226
manylatents/configs/resources/cpu.yaml,sha256=P_VcPFwL7Klmpqmh3CR-Io8mzPQloDazTq3NTjeq9lQ,418
manylatents/configs/resources/gpu.yaml,sha256=rKiSReyxbrqMb6T9qF2O9_qk7EXF_M2iFW6cylUiW0s,422
manylatents/configs/sampling/balanced.yaml,sha256=w4Jnkw0Pho_EpIF6Ug87L1lggsQCrJwcuxnlsraf4IM,303
manylatents/configs/sampling/balanced_label.yaml,sha256=5BWoYzhOVhUuyRBrojPWoPJv26mhs0nIj98pSHJPZj4,271
manylatents/configs/sampling/diffusion_condensation.yaml,sha256=3GS20aYXnYG-lE12TwkrjRP1qLlTwc6aeCCbXf9uQTA,411
manylatents/configs/sampling/farthest_point_embedding.yaml,sha256=UwMxt5VxYTQyzplWgVtuvbLJFJRd0GnBnHW2JIL3SYc,263
manylatents/configs/sampling/mismatch_aware.yaml,sha256=ykQb1nYf5hSEpQURUnYMY5JzKvAt6JjqmoTkbUSDZgo,357
manylatents/configs/sampling/random_dataset.yaml,sha256=VYTSbKmW0IPDOKUd-zpdvU-MJCFr4hdchJ7EM5ZUc90,168
manylatents/configs/sampling/random_embedding.yaml,sha256=17crK21Ux8a3QZ-3cjMGBObT2K61rLE-wpOmtwuOCVY,175
manylatents/configs/sampling/stratified_dataset.yaml,sha256=lPex4ZPUIi8GyQt13WCi4wSoq2GnY0POmhEpR1keVXU,212
manylatents/configs/trainer/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
manylatents/configs/trainer/default.yaml,sha256=IsvQ_z2tF3ipdDXbiUre7H_WYR8p5FxfE5xOB1cG4kg,485
manylatents/configs/trainer/callbacks/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
manylatents/configs/trainer/callbacks/default.yaml,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
manylatents/configs/trainer/logger/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
manylatents/configs/trainer/logger/wandb.yaml,sha256=bPcT3_tWUzfX18P-PIx94n8cZN_qCYNf4IkeyFw8sRc,239
manylatents/data/__init__.py,sha256=qLCOilr9BcPWp8xOcc4eyp845WmWhIFvM5acHfJwkGg,6612
manylatents/data/archetypal.py,sha256=kIfL_C9EQ4dCmeYm5dS2PfAYMjSHhst_j6SFCu19aX8,3893
manylatents/data/capabilities.py,sha256=3RZHlRqY6RCuc6BUccg5SQBslMOum29UybL-vwbNZxA,1799
manylatents/data/dlatree.py,sha256=y2d4vKJ32dYT_8Wm_Ox8TWJ6YvFm1mIOA4D-2DtIvy0,10469
manylatents/data/dummy.py,sha256=8kwJranF85K5uKAJUpUdmGe-m-5_D8xlmEGvbO67Hc4,1512
manylatents/data/gaussian_blobs.py,sha256=Un-TFxxDoqjhsEhhdIgnacQz55LuuWAMmvhLk5Pcfow,6266
manylatents/data/precomputed_datamodule.py,sha256=gD_wLnaXfoS9KFNkT3s7i4f8sbri0LQNscyePN8fX48,11645
manylatents/data/precomputed_dataset.py,sha256=b2KeAytOifT9ykaQg3IPb95Ne4WiMUQuxqOliTV-p2Y,8942
manylatents/data/reasoning_trace.py,sha256=nOxBLvXo-TKJ3nKSp_i3cuM34hI_M600GFbcrcT4lfU,7137
manylatents/data/saddlesurface.py,sha256=AVxFpf5-iCKnzK0pG50kd7jVaiP1lyHO0pISIxJFyWI,7350
manylatents/data/swissroll.py,sha256=wOyqOVpg0_l_Y62rLOuCCmotiiOjLRR_9Woaz5iaf0Q,9458
manylatents/data/synthetic_dataset.py,sha256=9hCYZN3hiW6zr_MzI8t-UaQcMHvXgcJukDha-1w1Ygs,80574
manylatents/data/test_data.py,sha256=jCc3Zwcj6fNWV3s5oUdM4WgfyZGooJwVXAIxDtR2lBY,1748
manylatents/data/test_precomputed_datamodule.py,sha256=9fF39fiPMNdlpJnZ_uOD-KJxgUj-NFfMgy6CKf7Zi0o,5276
manylatents/data/text.py,sha256=wp9JqykiiPQX1-nmyd0CR2fmiYhQKcrZcVHozFjIxFg,8051
manylatents/data/torus.py,sha256=FNE2moYuXU-JFj-V8Jgtn2sQ_m-f6wzEJoDYBbUaK34,6188
manylatents/data/transforms.py,sha256=LA_zMYY1laR9IAT3oiNf_9VHnt3mp_5mKeCYaSgwsHI,3746
manylatents/lightning/__init__.py,sha256=k81nhxUPxtFFtwvgSEppW5YoEgt9zjkIHLKJjh3STmI,84
manylatents/lightning/activation_snapshot.py,sha256=UMvLfo7MeI3iXRb8umh8jZx448ZRioacLYxwbt6NoeE,10179
manylatents/lightning/hf_trainer.py,sha256=G6Y-dg7nVdW3RJMX7JjNUsnIC67_n7rm20aT-YA_G7E,5478
manylatents/lightning/hooks.py,sha256=zdsm32J9-AJFPvfRuWOgQ9spv4FKBF6P8faY8R5eIbg,6427
manylatents/lightning/callbacks/__init__.py,sha256=vzqCkxvPIl408uh3kJTGJjomZCG-NSqlwjQql4ZoBV4,598
manylatents/lightning/callbacks/activation_tracker.py,sha256=wk1ADv5890GB_ntUvye7DYvfXZ7DRqDAbu_K-vy_wdk,10277
manylatents/lightning/callbacks/staged_training.py,sha256=3pS6KlvtEbREAsDIwjJqlxuZm0yDP4CiuBT1VBSNW7o,8577
manylatents/lightning/callbacks/wandb_probe.py,sha256=Vgvfr1i3blVYFZpVcb8BbYoElMqNISA5mGZU2vLXTuc,4520
manylatents/lightning/callbacks/tests/__init__.py,sha256=A_HZm18gQn8Y5Z1lIq6BKHUksNvii-d0Zvvyy_xzPr4,32
manylatents/lightning/callbacks/tests/test_probing.py,sha256=uGQVmesKdmuyTq-pu6VTnDHpDoed_NrQhACkoGrTM_g,8873
manylatents/lightning/callbacks/tests/test_staged_training.py,sha256=eIilaLbBAiSEqV8LfHVWDKo8Ees52_dW2xlWl2h8nWY,14354
manylatents/lightning/callbacks/tests/test_wandb_probe.py,sha256=35bVMcDfu53JCe6MWT2e7iK0hO0gI3lKcimhQQ5dkKE,2177
manylatents/lightning/tests/__init__.py,sha256=8DhiIbq-JvRJPxGSFlTKWnLls4btb3Xo_sUhZpOVbkY,29
manylatents/lightning/tests/test_activation_snapshot.py,sha256=j3IauVNZmgBm0mBUPUq464CaGP16Dq1ytf6-60n8T_o,14433
manylatents/lightning/tests/test_hf_trainer.py,sha256=1ylkj2j1PlEap1hJ5nx3YGYyC03QDAQ1LvFNo59pGz8,5518
manylatents/lightning/tests/test_hooks.py,sha256=kPESTXLvDIUuU5g9JVuzyACMoM3x2_LqC0CIrMLu1Ts,4964
manylatents/metrics/__init__.py,sha256=IUe1nou68HwCi-1uVfkyy161VkF84LSq4z6AFkVZL34,6171
manylatents/metrics/affinity_spectrum.py,sha256=H7WUDZJvGTg1mD344xXWrXt_OnexrEV5zx3vsH3onMk,2835
manylatents/metrics/alignment_score.py,sha256=R7yQL5FaILwn82dEnO9IyiHFWDxVN7AEZPML8FHHqRI,4708
manylatents/metrics/anisotropy.py,sha256=NLhPOgRXgkg7taBVNjtVzRECsUiVDlxZ9a0aMS0C5ms,924
manylatents/metrics/auc.py,sha256=RMqEYCb3LRtjB8v3n1cS6p6aWwpg36nP1VoI5XlRB38,2463
manylatents/metrics/cka.py,sha256=KypBcZ0PAt3vUS9_pzMWDpDKIOjPDQN5SpOIfEgP0T4,5574
manylatents/metrics/connected_components.py,sha256=pt3L2axTPdbU46nHiFeuXFQSJswd89YNNgF5Yt6jugI,2325
manylatents/metrics/continuity.py,sha256=kLBpGni264orf5gH_ql3vVf-Nks7bsSebc0B46dKxzU,2695
manylatents/metrics/correlation.py,sha256=S_aJGP3gxHhqKhxP1SCZoNUJhuAsv9VxN_TmQO012jU,3294
manylatents/metrics/cross_modal_jaccard.py,sha256=5O-2W1pJYhfbKsBfx8NkSImxThnWJsgEH0VubyYRoXs,5371
manylatents/metrics/dataset_topology_descriptor.py,sha256=vSm6p2rUpFAeiY-b-03ARO2m3dhpGVe0NCukmHPzzd0,2828
manylatents/metrics/diffusion_condensation.py,sha256=3wEp1giGPssPVa1oRaFO9U77x3mFPAGg7WM-3tvirNQ,6462
manylatents/metrics/diffusion_curvature.py,sha256=_IT9fxgHKLXlH8FBjFX3sUl74LLSszZsH0P84JvNGuk,2974
manylatents/metrics/diffusion_map_correlation.py,sha256=rQuQokx6lwyT4Vfftn87RFQCslDGA8c__M4tprYb3qQ,5880
manylatents/metrics/diffusion_spectral_entropy.py,sha256=wJ1BVUuxYTiGGCZRqjMIc09vfgmM08Qc1zRlDKGDsAw,7579
manylatents/metrics/effective_neighborhood_size.py,sha256=_NMZvz6Qia4bAbVq9_SZ9EEsJgJrVbNjQJ1k9Y-HSRA,2704
manylatents/metrics/fractal_dimension.py,sha256=XL9YNODzoos6HMxm-7xWFcOrYuAMzlESqEYAR_oGbYs,2120
manylatents/metrics/geodesic_distance_correlation.py,sha256=dUF-5ahYdx_rJQFWicMqYeXDXwXAlZI347rJTjgy_Lc,2377
manylatents/metrics/kernel_matrix_sparsity.py,sha256=TjkR_gfRZGo1BpnzobJjV1HttHJpVbXyCbJXjHhm92E,5632
manylatents/metrics/knn_preservation.py,sha256=IIJdu5qVUwgERbVu_Bap1b2FzFsmWEy3NMDpwqiSk-A,2172
manylatents/metrics/lid.py,sha256=gT1fMlsEhE0fH8i0L03rU5G6CywDFNxyiVt7RxLFKz8,2074
manylatents/metrics/local_spectral_analysis.py,sha256=bM2zIT2b74BmGX8fPUKPqYlTBtldvEbSMGSuxJTrUfA,4961
manylatents/metrics/loglog_consistency.py,sha256=Bz2-6jwi3bPH5V4itHHZdghaTwrDcOFvWtAYyi69v0c,3875
manylatents/metrics/magnitude_dimension.py,sha256=vxLii_HcMv2kWq8Djm9f0zm7tt2CqyYc0K7gVTYOCag,3782
manylatents/metrics/metric.py,sha256=971LG8HH9KcwLDg3dIk0XapJwdHYph7-07fjkc5iVA0,1462
manylatents/metrics/metric_agreement.py,sha256=t-nvyKhMZFIF_AQ-gjfFYiCO2ZX2cxnYZkdfOH1yQ9E,831
manylatents/metrics/mismatch_ratio.py,sha256=21Qk4At8Jut3HdrJLAHxTu6-FYrbWLzHTJyFazBgQpk,6367
manylatents/metrics/noop.py,sha256=QK9w_sO4aJ3SDvlwDGMXrYr4DVFaRb2Mm0MWvSf-zjA,1174
manylatents/metrics/outlier_score.py,sha256=7aw9jnaO5UHML8h9pZYJJYWiY6SWTm4fupqMfU6_Rxs,3223
manylatents/metrics/persistent_homology.py,sha256=kPOq4Dgvr7BsXOkOEf3Tvd7SUwbGLGmS_QkUpJfktxo,3402
manylatents/metrics/preservation.py,sha256=r2cvGGppGVGN5jPDJu-lfUqLGAW1Rerm9t3WB5aBQno,6267
manylatents/metrics/rank_agreement.py,sha256=3p9aE0BFx0-0XR3TCodjQGvD8UmMLx9xdw64tykUaNI,4477
manylatents/metrics/registry.py,sha256=02pdsEA8BHiIPk8XuGeob8GrtV9en9gs06-swkSQR9E,6966
manylatents/metrics/shepard_residual.py,sha256=VHKqcaoXc1cMIvmX5C0cJnN_wRWunyTfr_p6KHkEnrw,4522
manylatents/metrics/silhouette.py,sha256=KmrWwTtfAIgn7w_d64Cxa_tFydfsILzdU5makY2mE_g,2701
manylatents/metrics/spectral_decay_rate.py,sha256=y_TX2IdgulRnNR5-0CM8WubSuQ2EkGPPgHHjoTTwzdE,1960
manylatents/metrics/spectral_gap_ratio.py,sha256=ehC-Pv7VSZkyQWl9kyCw4PdRk3BC99ut8OluIi2IRsk,1577
manylatents/metrics/stratification.py,sha256=BrB4ofixxPLl2nJCYFHyiOZ7vVTzGA3nyjXJLG4EzKM,1371
manylatents/metrics/tangent_space.py,sha256=HgarYyl_DIFmJ1dKPBcqTKU9nZuwL_mZ9jtPHo5x0wo,3192
manylatents/metrics/trajectory_geometry.py,sha256=zAULPtIsR0ygajl6FbgFp1Ujwe4DZn0dLktOG5Z9J3I,4459
manylatents/metrics/trustworthiness.py,sha256=3P0werDWTuSZTS06qsdxCax1jkSKWWh3ylw4h3UXIHg,2298
manylatents/testing/__init__.py,sha256=ay3CZAI0b2XOVBaLi9MP6Rz724zUBzWXm1QAiRZUvrw,3249
manylatents/utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
manylatents/utils/admixture_pipeline.py,sha256=p1e0peQQbHX4zkz2AXx3k7ut4Tzy7Kqt3MqJKLaVKIM,24312
manylatents/utils/backend.py,sha256=izpHCVNYWCzVlXZv2JiQXQNeewnMbQ0yTWgmc1eTr1Y,3799
manylatents/utils/data.py,sha256=lkDGV-1Ed_yO_WnhAFe0SDxnsOWiWwlQJHk9-l4mONs,11966
manylatents/utils/dla_tree_visualization.py,sha256=AnTDcQ3QMTBWdNj25VwjTXFukJKPZgWAvCVEvt9lRDI,18631
manylatents/utils/kernel_utils.py,sha256=GT52ht1YkT_v7EsN7dpYrX0OwO-mocSZC8pXR6uku1w,1245
manylatents/utils/knn.py,sha256=9NEdca4GZSZvMUVSqy4vc6VPiefq-1TJEBl09lRaHJI,4559
manylatents/utils/lightning_adapters.py,sha256=YFlXhNVh19uIfngW3PEZ84YYF7QHUZzSko2FoaCYZy4,5874
manylatents/utils/logging_protocol.py,sha256=ZJVBvdx4m4EOx4MnFLjlygHaEWz7-sLzYmAy8S9UmIg,5354
manylatents/utils/mappings.py,sha256=cQpMl0qY1ANGmI6x2HFZJD-ZjwpVUNKkmYvqOm1hTZo,7888
manylatents/utils/merge_results.py,sha256=0kX3C-lkGrNO--4Cv6M9cn-F0zDxTZM7ONknCSD3BqE,7064
manylatents/utils/metrics.py,sha256=bRwVLs8Me2E1q62HcOQStskGq5LjaleoKADwWPCW7wc,10645
manylatents/utils/plotting.py,sha256=dn8cjfyOmwC7pNCKExz1QraqPlTFI-v_gQMoaip0pcU,7057
manylatents/utils/robust_pca_solvers.py,sha256=y32caA8enjhXKQpC0M0R1uxG9X5ZsVvUEDPtl4XQNko,28654
manylatents/utils/sampling.py,sha256=mgmPahCEA9T7mdF1oC7IRaITvV1YapYbi5vruIDNuw8,45385
manylatents/utils/stats.py,sha256=FMT7A8x0O8OIjTug1xQxmh_nQhya5jdksjqVpcKQoLE,2378
manylatents/utils/utils.py,sha256=4hW7p8EhkUL1MMm5IB0U8XITwwIbkjxFw264ZEMpVz4,9932
manylatents-0.1.6.dist-info/METADATA,sha256=emTvtOB89brWolXJelmnS-FqbtIB4vz8Iiz_m9JkJ9k,8630
manylatents-0.1.6.dist-info/WHEEL,sha256=mffPy8wBnZQn2VnJUU5jE99KsxaSfiyMHV9Yt0aLVxs,87
manylatents-0.1.6.dist-info/entry_points.txt,sha256=ORrVURrKvJq_2Zs25DfAoaLXg82_7vvquKWcJYGg8tI,54
manylatents-0.1.6.dist-info/licenses/LICENSE,sha256=xsjdP2wS6H7a2g6_Vx_DofiFiPxZQo57QaPunLEkNJM,1079
manylatents-0.1.6.dist-info/RECORD,,
