kd/__init__.py,sha256=L9U5ctush1-sl6NuQ4TSHtYsqaeN6qyd6upIO3BxNdQ,5030
kd/_evaluate_classify.py,sha256=GD_5mpAHQkBcLSu8O7ExaHc5ZYKLWG_17Pm_7p5zp-Y,10196
kd/_inspect_report.py,sha256=gp6m8NKBWqeLQR1TT9DnUwBhPpXreqHJtEc3OzYEqDw,12596
kd/api.py,sha256=zJ56pDn3tlDSC1r4Tc9xH9pb-FMnXlruSq5C8CUf08Q,117808
kd/evaluate.py,sha256=MmrlyltZCQOkh8r27eBxb74IQUfivI-9VLh4BIJOVMI,27055
kd/inspect.py,sha256=GqI-Zu06Nk1L7E5ZGRQ5g_ivsPIi6KJRzdlNNhpwPzk,17974
kd/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
kd/_assets/data/Burgers_equation.mat,sha256=iBP82K9w9OTCxe4iigbDyn43vhGJrMqiaBotOikZDWQ,287462
kd/_assets/data/DATASETS.md,sha256=BxL2WXm2qTbJo7TY5l_ABZq-LGG9Q4AXtL890ejbzKo,7384
kd/_assets/data/KdV_equation.mat,sha256=fATomgxlaSEF2-f8i6UsuQzgGmTkfplaVzb78cBr4iA,788239
kd/_assets/data/PDE_compound.npy,sha256=zm_bKPFzFMBle96FT8kCD5hvjCSWxlGhDJhWgYEq6wI,200928
kd/_assets/data/PDE_divide.npy,sha256=J0ncG4gvpdDiV-C8N50a75Vu_aZc71kXjJDxYzLfw0g,200928
kd/_assets/data/chafee_infante_CI.npy,sha256=mrJkvzmJWnP1gYE8Nodhn2HuAf5eUUYnveiFRFtmQKA,481728
kd/_assets/data/chafee_infante_t.npy,sha256=ELDitaZHzlgSi-kYLl2JQ72l5F_36P1rszzXfu-0L3o,1728
kd/_assets/data/chafee_infante_x.npy,sha256=kbKLue2-zYar7f9Dn56fDNTS0uI572hyKqeKvNubU4o,2536
kd/_assets/data/eqgpt_allen_cahn.mat,sha256=hjpahL8rPScnqO85NktKQsPVDuz2l5AkYneUEna9m2U,291152
kd/_assets/data/eqgpt_burgers_2d.mat,sha256=vrsSEqr7fDeTjUb54GS904waBmkJEHjq4oKecI96HtA,3935738
kd/_assets/data/eqgpt_convection_diffusion.mat,sha256=2fLH4B-jPmPkxBaO4owQCE8XoOKivWliZVWzjr_mkIw,387350
kd/_assets/data/eqgpt_eq_6_2_12.csv,sha256=F0R3J1BwgEpfdM5POrMqPOqOI2Z0zdKOnegP6v7MTa8,4886493
kd/_assets/data/eqgpt_klein_gordon.mat,sha256=bdb9mh6IfbpMYS_3sF3gXi6OphOTx3vllx57BDVwoeo,208639
kd/_assets/data/eqgpt_laplacian_eitech.xlsx,sha256=vuSECEPCf-FFcqAxIE0pC8A9178SJxUndVXacOQKdik,2889690
kd/_assets/data/eqgpt_laplacian_smile.xlsx,sha256=kb22NoOuK1jQsPXErQhiNlQXq4gAPyatw4xXjnUcEik,1378624
kd/_assets/data/eqgpt_pde_compound.csv,sha256=1d52rXYDKeVgGNx9GSjAzB5A88FemmI6cWNyLsK9ZE0,773327
kd/_assets/data/eqgpt_poisson_disk.xlsx,sha256=bw9ZWkHAJCuJ8YAoTgo7hFacKBFHYpIeJD4OZf20Mro,1817836
kd/_assets/data/eqgpt_wave.mat,sha256=I58QawQEIUGecldVieQhzsbFJ0hGWalTsZ6EcrBI7Dg,137903
kd/_assets/data/tlc_cc_Rf_t1.npy,sha256=zz5hoiUPpqJDpBx0soLM3oJs1A6QbvCOdgSw33EApfQ,4272
kd/_assets/data/tlc_cc_Rf_t2.npy,sha256=LfEmEFYalEQYLtvOqpy9Z6b5-jnIjSPvmg3UAHmWIMw,4272
kd/_assets/data/wave_breaking_N_G2Tp12A100_broad.npz,sha256=4HD1j2VtJ_WJSU4RdTkg_OS0N3GWGhHs82fdpeel3rk,4393123
kd/core/__init__.py,sha256=CmBij2s0AZTH1kd2Pv0AH-I9e-SyE1DOnLO62ZiwZ-I,2078
kd/core/evaluator.py,sha256=5Eths0jAclYaZTmSSW2lS30Y2dYK3pXsy7ks-FTbAVM,13165
kd/core/integrator.py,sha256=IH9TGQJh9Krkw_P1zqqrE71p6ydAQw6UUcjG1T66Ce4,18127
kd/core/interrupt.py,sha256=FAzD-HpZu6o23GjwzOZuurxRsgEQjGwXzIjhfyp32aI,83
kd/core/jsonsafe.py,sha256=bea1cM9lr-sUJYxWRLtJqN3f5q9Wsy4F3mM_wLSYic0,1794
kd/core/metrics.py,sha256=zXzK6EsRiLQdE2vE3o26Ru8tUAeNB1LiYn-4zhQ3Aug,1799
kd/core/oom.py,sha256=W3G2RRw8p0pdVyMQZ3d9M4OlFZl-1hvM2AY0ZwRZ8Ww,176
kd/core/rates.py,sha256=IqIfwzHYewQUc9dYsJmV3tDQ_vriC1xN5AXC8wIqszM,2607
kd/core/recovery.py,sha256=WwznnEraoJq5gqdNLlNsHbusinl0B987xcZtteThLkI,4481
kd/core/safety.py,sha256=uMESHYo9Q-86p0wuPjZbtm9wt7stHHSMw8mei4Z0omQ,657
kd/core/safety_counters.py,sha256=FS-V7NnVb4gLr3k66ox1V9Ny_H0VGxGqNC0ufF5wQKc,5601
kd/core/schema_registry.py,sha256=gqNxqhdk0Am83erP_RGYehl_AbQnN-J-ySuGPekAOrc,2186
kd/core/small_terms.py,sha256=WWo1sn5hvuZFL7WVEJn8Ea0MFOLM0VS_H36dgYB_3U4,524
kd/core/strict_keys.py,sha256=NXDvIjGXo9j9LbUkDSpsZY8gmyEqX5Bp7PFU2248gRs,675
kd/core/term_cache.py,sha256=bm8o2bnbQiRSH_J-mXiZ13emOdjiJfSVezPG4y9orv4,1281
kd/core/verify.py,sha256=nldjeNL4kpQBw0DYiUuhP-3yntrB5K7HGuFGnNT-1Qc,10191
kd/core/equation/__init__.py,sha256=E7WXxNbvvWBaKrBiHUHoSWHIK-hKGUha0HU6xbKjDk8,2818
kd/core/equation/_sketch_serialize.py,sha256=PeRzTtr9Alm1k_fWlPyx8wnPR7BlUt7fJnwsJ811QLs,8458
kd/core/equation/canonical.py,sha256=I9hXJNEevQBQwOyuOd4wPWkL6G4sHsRF3Pecf3Eiq6E,3199
kd/core/equation/construct.py,sha256=bAmkIkPHLJAS3KfOhclqYAjTDOqcvu8ZjOvDl8HDWOg,9009
kd/core/equation/gauge.py,sha256=-os4FV3X7ZDt1sTQFD8o_xE4cy1PzK8i6kf5m3lEHAQ,1318
kd/core/equation/library.py,sha256=RLNZe3VeEUQ8yB2paJN_CGrP6Fhafmnv3aQV6ksopOM,3580
kd/core/equation/projection.py,sha256=rbCzjBNp_I4CsG-28pPn4LK_N5ZpMkUYwyoszwnMgCA,1969
kd/core/equation/rendering.py,sha256=RhxtxmHz5XJ6PMqGO_Qg_TDdIHivbY2W7QjiTR_iz-8,1918
kd/core/equation/residual.py,sha256=hOlkCbNWjf_2N-RCFf-xMLF2d2fdoVkpSw22DUz9cwg,1756
kd/core/equation/serialize.py,sha256=6NVuO8fPSItucqHXzix-g8_UTg6VHWrapOLxxGuq4rs,7649
kd/core/equation/signature.py,sha256=qx2q7glnpdrfp6rpXT4HH4MxzBx20ALueZZ15xgEfFQ,9183
kd/core/equation/sketch.py,sha256=ysYbZx8fYv1jZiGwycf7jl5RiQtDOb7BDSl9uLzScW0,16542
kd/core/equation/structure.py,sha256=AVB-dtXT9RPpwBAvzEznnT9RuOcQ7lQ20pMcFNxpVn8,3319
kd/core/equation/types.py,sha256=WzsXeZjrNIoh2-wL1X-n5AFi9i8pRD-E3rvZ5hlbD2M,4366
kd/core/executor/__init__.py,sha256=P3MV5cesiQsVKNS-RVwjcmKdkAQZ9a1e5B0XeD9GUho,94
kd/core/executor/context.py,sha256=NTvir9yY3ntmAE8OV4fyWt7Dsdv9SRaOSYoVmy3u4ZU,3235
kd/core/executor/surrogate_context.py,sha256=YCdKonRmiCQVGTZQvtUvR7I-w9QTJxFD9ELSkjC7eHM,2415
kd/core/expr/__init__.py,sha256=c9EC6ELN2iCf-pBKYxW3hoiUCAIhM87PCFfacP4Vu98,1245
kd/core/expr/display_spelling.py,sha256=G4DDikNO2wNQ-RM_9EJdM5sjpO-PDWS78SvT9Vob2sg,2034
kd/core/expr/executor.py,sha256=zCh7v_bAgWXQnV_wkVZa9D4g-Ydc8gCsEct1WKqM44w,16915
kd/core/expr/jet.py,sha256=Ku3egon4SUt6QnIMoJftAwftDs9bnSvsAycewgt2NqE,5253
kd/core/expr/naming.py,sha256=dU-mOMJcu06VU8JqD5YCc2vcgvQ5yQQNDPj_XHpTNoA,3062
kd/core/expr/registry.py,sha256=PIdULAgNpx7y12vzEmS6yCejCWL_ykdrDca-_bwu9hI,5054
kd/core/expr/sympy_bridge.py,sha256=NGAbydRNVOv3kx8lChAoyoNxxry1P8lwG8Qzkh1996E,10763
kd/core/expr/term_features.py,sha256=K8qfSThni8OtHpX49VST97i0D_QtUnFMRPYrEtU5qm8,6334
kd/core/expr/term_key.py,sha256=i7e4Nk_zZicUN2h52cT-ZIfWOI43AyLBl-Og5LdBZiA,2578
kd/core/expr/terms.py,sha256=xj0-ksS0OECG6bXComYtr8pjfYhm6-IgCfqodOfdeDg,2528
kd/core/expr/validator.py,sha256=CNaQxLWnDiX_lQ6cPnpdhflc3sQSu05ijnYhdDR3Yvs,1558
kd/core/linear_solve/__init__.py,sha256=Kslqo6Medic_CwBAgauue6-bkUD8tISMm_Rl1Zhbky4,644
kd/core/linear_solve/_helpers.py,sha256=yYcXClWVD3A74FFCnR1ItrvDAVhGuBVX5NG2wvu6OiA,2025
kd/core/linear_solve/base.py,sha256=y6ZlXYUVClkfZnxdx692Hnu7gMkYgvy_st1tHAf3cvM,548
kd/core/linear_solve/least_squares.py,sha256=pFWxnkUxxLFHYpN7kWECF2Ml72UTJHM2C2OL5c2pK4A,3329
kd/core/linear_solve/lstsq.py,sha256=pfxMbiV87xu_5rAVheuj-oumEH7vTVeh0agKWQN0COA,555
kd/core/linear_solve/stridge.py,sha256=kql-Dnah28WsQVNBbzWWUzx1D0EL-MzIfl2SFMPwFOs,7422
kd/core/linear_solve/svd_null_space.py,sha256=CjqVIl9t96ENZMZAezOpU3qKvfXp_LrqVSPDyFTv6tM,3968
kd/core/platform/__init__.py,sha256=1J6XWkUh-dTfrRf07TgONF7MInWJ5kEzdEJYEg6t5Yw,342
kd/core/platform/builder.py,sha256=kox9DTDFD82HiJ9wzkHeGR-5E4sUCDv0C06500BwLT4,16113
kd/core/platform/requirements.py,sha256=nm8UZ7t5IcQTQ4VAdRsULxbsuhFdTMJBbOLsglpPh6c,4631
kd/core/platform/sketch_compile.py,sha256=qpwGdXNCmPo_ZAObFVViMf_tyZPHRT2cFipXgq3vuOc,7292
kd/data/__init__.py,sha256=vouYlyx8OST_JNwzY7zugUnKRENxXQtBPP7bwEI-Goc,3090
kd/data/_columns.py,sha256=l6LhhtHgImbLEICkAvxs5PAr9nialQLRT4eblfsx9m8,856
kd/data/_factory.py,sha256=i3Vit3D5_UIGWaEKstYHoZ5t1WvU_yjf6wJUGUMe6R4,6321
kd/data/_field_names.py,sha256=f0pSt7mjgvoEo1zZLkFkXhRCmJEEMuC7ssWJPI7-pZw,1053
kd/data/_load.py,sha256=m8cftR0ymJh2QXEHLPQDTuI_W8JxjsVZ7gOUwxCPRk0,14806
kd/data/catalog.py,sha256=r5tovMp7QwmQPw21k7rWLodcVtgPTXEs3r9C_k6wGt0,11282
kd/data/containers.py,sha256=owKvpuhRLSgBVuDHTf4cYhx07UD0EJcH4pZYSW1Oi2s,9349
kd/data/diagnostics.py,sha256=Sn2CPJBB7I2GipjHZaQ4sWEaVT-qzTQY5DJyMr1XPRo,1626
kd/data/noise.py,sha256=aaZUOKpzKu0by4gGu01GZUztaZ_XwYRRoudKC-8WgSk,3471
kd/data/regression.py,sha256=KxxfL4-zv3d5I8Ej7_vjMs77PxdTzv_Zqsu4weEnBWw,8924
kd/data/resample.py,sha256=rfMhGCMUjxuqk-xVe0MaWXlxHfDkshajO9CSbZaVusg,6251
kd/data/schema.py,sha256=9vHAto-aRngXnUIVzsM4Z3vEpHg5DoJRnw7n5cUXogk,29899
kd/data/selection.py,sha256=_RSwgtH0djC2bp9zrEKwvGbDwjmkpd58JB_y6n5ttjc,1963
kd/data/smoothing.py,sha256=FfULMbwhy0w93E7tLPlMHo9emcSA8C_KlOg58FquTeo,1693
kd/data/source.py,sha256=P2a_xNv5SVsD-ecogRXhFYXp3cnjqAb872grw-gyQTA,634
kd/data/subsample.py,sha256=Ft_V_si4pTINb2-ozCDs_b4zF7IGrWF7zIemZLfhg54,6824
kd/data/tabular_bridge.py,sha256=lIYRQNYj0RydlmZNDyhwtvGC-5zah_uBCix3ve9PbEQ,3117
kd/data/tabular_file.py,sha256=wo7cnmydAMnWxlLQ7V-q6K2j5F_vDmO2g0sMIrhT_yo,1164
kd/data/trajectory.py,sha256=hvjHFeZgxvIkU0vnIf5Iu8K91bASiLBE1hY6Bia-ilE,4608
kd/data/trajectory_table.py,sha256=enzlFOxXspGwb9YL17CnOO79B6rH0lGNqPop3TstMfo,2498
kd/data/xlsx.py,sha256=WbK_2UubzWiuXSMpcGGZ2ir4meEIQRcH1Tz_MlShAlQ,2938
kd/data/derivatives/__init__.py,sha256=hajuXPaGpmLrE9VuodDoIQz011X6lwIBRaHWjJZ-BhE,269
kd/data/derivatives/autograd.py,sha256=ykhD_GBDVk9R7ssGMt3KHV9LBru68SRy-nmKQseyHDI,5595
kd/data/derivatives/base.py,sha256=AibFe0twHWE3AombVryYyQ1QG1bfhJxEdfmuLtifFWQ,928
kd/data/derivatives/finite_diff.py,sha256=KfQOtBi_8kw8Z2-Xgy8_HeDbrKCkJ3LdEFd-YxRCUnw,15828
kd/data/derivatives/null.py,sha256=xftgPGQEuh9gZdUryFxFfV1uF420QM7i-8MPQTWw5NY,732
kd/data/layouts/__init__.py,sha256=yj-EWRkdwDQ5lVoI8n-BT1InLGX2QVYRlRNxzn7ChkE,1237
kd/data/layouts/kd_npz.py,sha256=VBcXK1c1Ai2niJeq02qT-QOHS0fet2VYCF-fkoQUIRY,6127
kd/data/layouts/pdebench.py,sha256=3ZdD43XFXStz2_qzSVIIxomsRJEHbm-9hAxX9J9CIh0,6726
kd/data/layouts/scattered_npz.py,sha256=Ni1bKYRoUZie76gP8BoXZz7UbKMuw6UvUeCRFL8znVA,1820
kd/data/loaders/__init__.py,sha256=259335fTWKkLscZecU3YHK5BTJ6onj8XT8aXYlNB7GE,833
kd/data/loaders/csv_grid.py,sha256=6ze5rF1pZgR_iaeXxELKO3SmvIdpD8WkT_P56jzi-CM,1146
kd/data/loaders/wave_breaking.py,sha256=yiNb37yHB_XxgHrW3n6dG1yt8GpLXLvrbK7lQFHgF28,6153
kd/data/loaders/wave_breaking_eval.py,sha256=cNS6icLq-6n1o7DNsXNTPo3qe4ALLNujvfv6sTgMwhw,5588
kd/data/remote/__init__.py,sha256=7ufRQsZR69ObE1NXZQXlzQEvwSA4ZSbj7ibx4AhhCSI,648
kd/data/remote/_eqgpt_assets.py,sha256=AvF1c0mVhGB5-o9GhJOmDjaICg0B0lr62iDXdtI3gSE,1000
kd/data/remote/_hf_client.py,sha256=wIyKi09nxNKkBt04yipbVtGhNcu6Jjedp_aaT1HHKY8,3155
kd/data/remote/_loaders.py,sha256=vqLsKnFd0VUtewOKcwRlsr99W9NPa3ek5HNz30mzBoU,5656
kd/data/synthetic/__init__.py,sha256=jzB26Mh216NkiXFRbCI1WdgA-Xln9fq7l0Ngp0g_lu0,3219
kd/data/synthetic/_advection.py,sha256=N9kvkPZAGQs14SNQwpABFbJ9UAxDKe1r3vhecSjh6V0,5372
kd/data/synthetic/_burgers.py,sha256=I3xrHU4X7ipQs1ZUF6D1EhrPs3-iUgFNg6lfeOTUuFY,9225
kd/data/synthetic/_chaffee_infante.py,sha256=1wC1AgGx0jcxfE68vHSRJdHKoxTc0b8EYvOcenVJKYg,2142
kd/data/synthetic/_common.py,sha256=nLmNOFl6bfiKQItwzl8zFKNRW8TIWdHB_8onaxlMJ_M,447
kd/data/synthetic/_diffusion.py,sha256=u1ZgZeijWp71wI7SX6PkL8jM_kQxsBdgflLNJcEB_Hg,5394
kd/data/synthetic/_eqgpt_grid_loaders.py,sha256=f7SAK25AlEQUFV__pD3Tbqq4-qVyZr-0lsdBwSBF03o,4312
kd/data/synthetic/_eqgpt_steady_loaders.py,sha256=8zaM72tOVBhcYee9xXycvWAUNlSOsHyuk513q6XGFfg,1159
kd/data/synthetic/_kdv_xu2020.py,sha256=YHG7CJeUa1f0pPpf1YTJHLignghz-bzaVAjTdrDLRNQ,2228
kd/data/synthetic/_loaders.py,sha256=ORiUd5vnVyhoIppIOrfX2sliCXakAhMiUIwSVzgfmyE,23999
kd/data/synthetic/_ode.py,sha256=wMXjDSYO4N2wP3qo24FuscY10nEtxbyjN1CEq0jSGeA,12803
kd/data/synthetic/_variable_diffusion.py,sha256=Td2r3tNStrXNpez0EFLYU4r3RR9j7VIrgc9Zmn36pFM,5044
kd/data/synthetic/_wave_xu2020.py,sha256=_G75YM3G99AuJl9RqFtaoXNE1NOqK7cDf5S3boJzOYU,824
kd/data/synthetic/_xu2020_common.py,sha256=6IybZbGP3bXbX5G234lZVt8TgeNp5q3yxOp94g-QPtk,1776
kd/harness/__init__.py,sha256=oHA78ooEywFNPneb-1cQCRcslwRioVT8mmukLdXSNJQ,2048
kd/harness/_consensus_axes.py,sha256=3VCqNaLcFJsr4vrGIhKTvIrnm-OyppBptPX_4CfF3BY,11395
kd/harness/_consensus_build.py,sha256=DsuBY6aObopcAP6DDL5DAm2TV7THgy2JKD7z1lb6OhA,13286
kd/harness/_consensus_partition.py,sha256=AKVLBx3huB3q1qZWWeOpJYEpt-nfDRq568nDfRPlK0s,4367
kd/harness/_consensus_serialize.py,sha256=p_5ONAmJD9EtmuDnC6KLR2NjtOMkyo5gQkFNYep2dEc,15099
kd/harness/_consensus_strata.py,sha256=-0BQvGWsVDpiPCAfDpP-P48aEbgcDzlceTozBTwIXOo,8094
kd/harness/_verify.py,sha256=3RVAUHOKiBWthHY3UDMviE_798pHTiJvwbFykvPdYJ4,19107
kd/harness/consensus.py,sha256=pMAkyVqeX0aXMMZlKKLk6LKSxSWtX_4Tle0CUZXz_NQ,9451
kd/harness/consensus_report.py,sha256=eRLrLveDOvMHLB0hrvWVeNooBrhbh03eciyO0XxDhyg,15464
kd/harness/consensus_verify.py,sha256=PrSkpNQ14Q6ipagiQKS3fKbxf5XssuiKOjcMLUiWagE,4625
kd/harness/episode.py,sha256=wFTnYjwnxuJm391GFz8fQX3Kk-raY0aRp2IucDOEhlo,8998
kd/harness/plan.py,sha256=fDibSOX8S6lcS4XSBUgHxrj1NrQb-EL5xuQrolgR918,6202
kd/harness/recording.py,sha256=NsG5m-ucVNKOPhAYohdsjBVrfmLk4JHKDaktmr1XOWw,1506
kd/harness/report.py,sha256=99WwjEb2d5cVb0G9SCMUyAa11XqkNGsyyzHWAOHz14s,6061
kd/harness/runner.py,sha256=-2slIydCgEvyLKrCQBroSKNrk_Cblhl09w1rNLzhly8,5610
kd/harness/store.py,sha256=8AgE6GHCuDOr0zncfeR5sMkQ_XySn4-8ncTMCq4_2R8,11081
kd/harness/store_merge.py,sha256=lyavP9u6EU1SD9ZotI41ops4ovVpq5rBb07JH29xnsU,3759
kd/harness/supervise.py,sha256=igFNk2kb4i_bVBu10A-eK-YAKzOqoIkllVgx6bo0EMg,9116
kd/llm/__init__.py,sha256=msWO49kbubw2w58JRJT9Q30N9szT8u3pQioF09z7o74,756
kd/llm/budget.py,sha256=7KWjf5YDiSZPgRzLFj9qFCReyHoDHf3rhJMVD9Mhw74,1079
kd/llm/openai_compat.py,sha256=hesAnqsLW07kkcNxhXVWDoNLoMhbzTJfy5ITAQJnDrk,6573
kd/llm/protocol.py,sha256=Xto418Xp_IoStw0YqK_tWcG8ssEv89gH-MROtvsSaO4,1300
kd/llm/tape.py,sha256=6pV2SixnMawKyChwWup02IC8OSGgR7pHXtoRRFPD-Jo,4922
kd/models/__init__.py,sha256=leMBatvTeO1oLSBj9PQ85YVMji-Va4dQAP9EaWuNd3E,388
kd/models/field_model.py,sha256=es-W28w4XyH7T0r9LYaEclfj13NvlIUX-5KFnx8hqpY,4671
kd/models/serialize.py,sha256=Q3RHzpHpGrBXP71eJLsk6H0TX3Mw39KNGAoOjODoiAA,3952
kd/models/trainer.py,sha256=eqLKNKpjaB4w00iK5IMlP7CJ4lGp0Goj0njaZvR76K4,10975
kd/models/v1_checkpoint.py,sha256=kACwMSNgRy9ZjJjgTts8YKcbXwtVqtVfF8o35p5Wk1o,3630
kd/search/__init__.py,sha256=DrVvfLVQ3fTS3Dms1aGhdCrMZ1BBJVDaYLUsEjBpCeU,5810
kd/search/_checkpoint_manifest_verify.py,sha256=_-akCXH_dqrM91Zq5EscPi4TrIgx1wHEXrYVMWgsUT4,10707
kd/search/_record_schema.py,sha256=SsovR8luVso0KVXwZ7VtVIkRAoBJjXbGDt0GYizg6mk,5394
kd/search/_torch_module_artifact.py,sha256=xEj2RYp0wpFEJVt_YExxKo0N9HHTtByAglkAVD6x0K4,8086
kd/search/callbacks.py,sha256=BUR6nA0KBewohRyGTcsuYO6Xam1ne20eYW-cHCAH8uM,12836
kd/search/checkpoint_manifest.py,sha256=C0EIK1YTHBKl2WB2odBhpM12X9GZ7VjE1A-bmrbBPG4,7597
kd/search/checkpoint_payload.py,sha256=TNpNzWSNV7VLVHPCI3UncuNocpBSdrNlMOoklNZZMFw,3314
kd/search/checkpoint_select.py,sha256=WtA_-1zMdcY1ulYUcYavbNmpUyy765DKWZ94e2GfCao,2201
kd/search/config_fields.py,sha256=nRhoVR8MczjYEctmN4DojsZmQ68MHThozB82Gbv2m48,14859
kd/search/descriptor.py,sha256=OH3KOzSmBSY9FHaaydwPyV5dTFlLcR-NJp-_D3PdgZM,15322
kd/search/iteration_events.py,sha256=gZIyRDDA2lhBmThZ6D1mZIkCAD0208SP3296b3Ay7fI,13602
kd/search/mini_table.py,sha256=RtMWA_Xib_TbJrGKStK3xkmO6pmMBRvToevkw-R4RAA,1585
kd/search/protocol.py,sha256=xiQ8YgsZGPeB7UGW-EXQ04a9DW4KR976oSG9eYixDHQ,4006
kd/search/record_assembly.py,sha256=r-h6xAcUTvJw5Qij5Brx0BMRzHELhsHnLWv0C4Nag_M,8664
kd/search/recorder.py,sha256=4Gnkj9F_wO9XKzBEuzSc88qBbU6Gxhc0WeBrfoMsZqY,3825
kd/search/records.py,sha256=UCGyp1NkTYPsvfy814hI0Ip0JaG8Vq4UmBDiG7Zbjj8,19103
kd/search/result.py,sha256=pLUvTLlTAKi-rdt-hvPdrZ7qlEEYwLHZs43xS3zkrKA,22870
kd/search/resume_policy.py,sha256=VB62rjs7KRSAQ4i0JNYkJUAvWgxh4rnCM3Z21pUwQic,6985
kd/search/run_catalog.py,sha256=Wyx-h2_t_mEUre1hHAmaQJI0XuqmoqegcRta63riaKA,7405
kd/search/run_dir.py,sha256=CMX46np9Yj2v_vm-oe7EbplQX_idBhdFkUTYjn0O6_Q,6810
kd/search/run_spec.py,sha256=h0FuQyRXrO_f_J9HXUdzeWK9myVoJK7x4U-ncuxznV4,5904
kd/search/runner.py,sha256=7Y9t_C74B164_a2tplWw7h6RR3AE77S58vCfrb_T2Mo,31613
kd/search/series_keys.py,sha256=Dnr_6YvDdNdfi3g8WPvwylTO2caruI5Hj-PtZksIyDE,1019
kd/search/sketch_outcome.py,sha256=s_96tOb4RWs2SCg6ZznSGip96rGgTNnN8XisXtxBSwo,2443
kd/search/surrogate_log.py,sha256=X__FTY-Ckk5tVYq5YKtgphCrIXJa2eo4BqxHogkqW9M,2792
kd/search/term_utils.py,sha256=gIj3eYtlNTz63fbnhcurqGBJZCmbt8yClFdcBup7HXs,956
kd/search/trajectory.py,sha256=3aDG9rxI4kL7yw6Mmg9shrkPSd8vU6AxSg6WVP2L5uQ,4276
kd/search/discover/__init__.py,sha256=Z1OsgZyD5K34vZJcJZ_YY8Jb9Z3u1cK3DD4zjUxjklw,259
kd/search/discover/builder.py,sha256=7gj-CbuMdeI2l9rfdCUYYwts3XIjbTotUtT0Loc15Y0,5805
kd/search/discover/candidates.py,sha256=ORaQDSTkL7vdMswaHirOOti0qwZ7ES2syGy-rRH4biU,3829
kd/search/discover/config.py,sha256=GY6Sn8RNCS96NZauJK9g2y69SMES_a1LugBIvxNIrC0,32597
kd/search/discover/engine.py,sha256=_OKEWPud9nogAXkeDYNUVcr7QiEgWfB1XLujW2TjcwQ,22567
kd/search/discover/engine_types.py,sha256=NhOEuhKEIRBiAzg0pkALRuNZxGLPV99afCPd90iZ8Ds,2755
kd/search/discover/plugin.py,sha256=98cKvIp3PRgTFd2YXwIincrgO6CeOHrv5RFHCjuLMgA,30512
kd/search/discover/sketch_backend.py,sha256=Es6wYdsw4N9p5JJZNeSyu6mvD4W7A-HdkqnaY61qlck,22535
kd/search/discover/stability.py,sha256=kZ8X-BC8FcrM8yI5uRclgvG_SVt3uCXjKNzW2-lUcY0,6152
kd/search/discover/tabular.py,sha256=CEMBVzUGWclRlch7JMbZMBPC6l7F9d6g4mdConl4ono,11265
kd/search/discover/viz.py,sha256=5lFzu0itRsMbXXLY085cvNuOntIu1iDI3M1mo1BXeG4,3599
kd/search/discover/controller/__init__.py,sha256=S1RZVdwXWxIZwN7UjrMaGeADBWb4TiIPrCyjdJBF0iY,192
kd/search/discover/controller/attention.py,sha256=yre__VOOYKNlBcFWQFItpmMzxmnCaRspUxeG8Z5DapY,3458
kd/search/discover/controller/lstm.py,sha256=h0jREM5q1p8DSbz7cqhCw5KK0mTzLqrFweIalftkr34,24334
kd/search/discover/controller/tree_state.py,sha256=L6V4JNTXrXML8J1zVUi-jQ1K3ohZj_R7UsbtiklCrms,12101
kd/search/discover/core/__init__.py,sha256=axuNPmof0RgrIprNz9W7XKsAtKwniDiFM1LbO8DojCw,141
kd/search/discover/core/batch.py,sha256=vrYtjNiYe_WIV3ytG8gKpoIb28qS8eZ2_Qqt_s-HAE8,362
kd/search/discover/core/tree.py,sha256=qXunQP-Hnk29ME5siGhnI3jESMW804Dkez2NgJ1Wvow,6604
kd/search/discover/evaluation/__init__.py,sha256=EUuWsO0VtE3Nsq9zQeJz4B-xTrox_7SXqoJRliJPqk4,95
kd/search/discover/evaluation/dedup.py,sha256=FrhFwR2XrQmV0xyss01Yf1RlfEg9GDO465_-waZGlH4,1722
kd/search/discover/evaluation/magnitude.py,sha256=gwAgbt1KXNHHkTJzansGBgmV2pewbf_luYEd3N1e-ZU,3326
kd/search/discover/evaluation/reward.py,sha256=8wnGJs6tegG8Vw5C1wrX3I0e5AIUvD8Z5wGV1TKLkXY,593
kd/search/discover/ir/__init__.py,sha256=Nb1fvOpCj6UdxhN9A47mnfkgo183_UHcE2HYQsjjVes,139
kd/search/discover/ir/conversion.py,sha256=G_6SOY6ISlXmTOHnkgYATUPg8EG8rvGhc90mtuDcoeE,5482
kd/search/discover/pinn/__init__.py,sha256=o9ScyWD1gbhcJfCuJtHVcL07hdGVkbyxg_8K99BFJiI,1218
kd/search/discover/pinn/_memory_log.py,sha256=zlJr1QGgO2GQcXwWHn8whZlzr2pmQsfKS_NwMKITOhA,838
kd/search/discover/pinn/collocation.py,sha256=k7wWBcw6pN2xB8UNdWvp4ZqDXvy-R0VjW9TKVL6dtQM,5722
kd/search/discover/pinn/cycle.py,sha256=ahGFdl-e52vQgPWyCj2wparg9sxJv7qaAauvOx3RXh0,22091
kd/search/discover/pinn/executor.py,sha256=RMBug0ZQ8XQZMI-4kvEm5797Q_RxTfTr-J8Q5tNZmno,5836
kd/search/discover/pinn/model.py,sha256=mgcKkfGhTUyrlUJk9PkjA3gcZmlVPnSA-mxlOnjYXS8,34596
kd/search/discover/pinn/observations.py,sha256=dJAhADJCvJ3mrYra_H8gvORHq3MLIpflIlh7ZtN6IWQ,1744
kd/search/discover/pinn/plugin_run.py,sha256=lF4pZiS5SklhlBFM-OvwjqryxVAzPNEEe1qp9BUhnHc,12417
kd/search/discover/tokens/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
kd/search/discover/tokens/library.py,sha256=dMt7M57fUmLq6-YZkxPoQOL8-om7mAJDxpYMIoiep04,7421
kd/search/discover/tokens/prior.py,sha256=frka3fOGN68TNs9-aPcUilxXMMT6mYHLlDulyaVFD1o,10884
kd/search/discover/tokens/prior_helpers.py,sha256=IOf8HY9PpdOop-iwI0xKoTaQw6C5hZ8r2i5la372M-8,11248
kd/search/discover/tokens/scaffold_prior.py,sha256=uyfDwN9pROTvIWAdwkZedAj_0bk7WSLs0Tp7Uzqbgt8,8383
kd/search/discover/tokens/validator.py,sha256=tUsegpYRmrHZFn0lxmOfVwYQe9c8w6bQRIhj6u9Fwm8,2865
kd/search/discover/training/__init__.py,sha256=nAL_ynSPKL3KZ6NYhlVxszHPy-ArdelGePfe8hLafO0,123
kd/search/discover/training/strategy.py,sha256=-qKykacOttewj5FoktvLMDCRPETPrTueB0QHY-w8_LE,13020
kd/search/dlga/__init__.py,sha256=bNvUdHPljpDh3YSGlET8bszIFcRb2sBZYU915ybq0uY,166
kd/search/dlga/config.py,sha256=0Gl4XjKG96jsVaiIOgpwhBRZ4bTHLbTywF1Xcc1-JPI,14289
kd/search/dlga/genes.py,sha256=G7Ri2ZjL1lFu5PUYqMyZlnZtQjMDiRdUPm5Nat--JQw,6872
kd/search/dlga/plugin.py,sha256=3qi9N8OpKhQWi2f1RJYVwWMceqSc7rQM2Ybjk3uYeas,34923
kd/search/dlga/sketch_backend.py,sha256=OLiJ7HQgcE5M5P4XmY1QcbcCbmfoUv6Wot807hApmrw,5165
kd/search/dlga/viz.py,sha256=6RC94HkpiIBqgaagK4ybGCi5cNWkHH9HxYM8hYihllE,4161
kd/search/eqgpt/__init__.py,sha256=6CKhMp5zoSp0zNG0sVS0WAIUTFz0t0Wmahs4HB7_M8g,2657
kd/search/eqgpt/_multicase.py,sha256=iV3u3BvR30vXEzGscQwcNPsUUywUo6ANjtscplgi9pM,13331
kd/search/eqgpt/_scoring.py,sha256=oGyo5oIWbdv_yj4xMM9WzuR8sABUJLP_Ru_Df2eCPTQ,8275
kd/search/eqgpt/_steady.py,sha256=YSuwmJHnIkWhi6CDzgYdS8Ym-YdkbtZOeA7-fN-H2pk,16828
kd/search/eqgpt/_steady_domain.py,sha256=aJ9MfzkTX7-BkcPeZNxW8dweqeoWfGaaSNFXeikDSBM,5123
kd/search/eqgpt/artifacts.py,sha256=I5tzlhNGUnwRZ7IBYBaN469jfGUbhwPMwSK7JuQcd0o,2070
kd/search/eqgpt/backend.py,sha256=mmLETDbUF2mciMKT2rLdbk4flNGNVLK0vAbpqs9Oo0g,3876
kd/search/eqgpt/config.py,sha256=dBQVhE17-Z8L6PfwCA4Bz0FDBspO-x2lTghBXfIImSU,23331
kd/search/eqgpt/gates.py,sha256=oEHBlJSgYeXwl4OVN7pO6ciV75VPaz6PfTljuJBPxaQ,1020
kd/search/eqgpt/gpt.py,sha256=WOE2M0dKS5JY7T54Ho6NRxngXqfPRdEutYdEbBXAE04,5378
kd/search/eqgpt/ir_map.py,sha256=Nd5b36BdUxHvnOBuygqfZZ4j1eeGTICL2GLxU5l48VQ,3902
kd/search/eqgpt/plugin.py,sha256=X5l1nyF1Bxixg5AObEmlhbIPd2LvRNvN8dK5pMMmacE,38232
kd/search/eqgpt/pool.py,sha256=-727XIgCruN7Vp_wRc7IgSFtKtSvHZ7QIqyFdAsNDuc,2389
kd/search/eqgpt/reward.py,sha256=ieEN8cXaM8dRX2QevuyMH9HC_jHVugNBtuEZoCBlCgw,3730
kd/search/eqgpt/sampling.py,sha256=YyaSyFPkViJUXb9Y3cvfcdu_Jjg8_znU1J_lL7VQ7RM,4242
kd/search/eqgpt/sketch_backend.py,sha256=xG_-nquMhL3Kqb84HWxJMFNfSvh1nXQmKoVsOcuNoOc,23896
kd/search/eqgpt/steady_viz.py,sha256=sp30OxgTFQ6Xzng3L1ZPkWmqvSo0p6wkGVXLEr5OGug,6318
kd/search/eqgpt/viz.py,sha256=36D3CVym_Ji6h1z1rfLwAKjca3QhaFa23cx1S-9EF8E,6006
kd/search/eqgpt/vocab.py,sha256=c0ogdtbRNDkHi7sm7iP0_3bLeN4-OD2E7IthxmIPkwM,2380
kd/search/eqgpt/_assets/dict_datas_0725.json,sha256=bOwO9n1h_DheMIJqd5nnzUL_R1nHKfUeq0Ca0vEo_DA,1228
kd/search/llm4ed/__init__.py,sha256=z6oCveDpQbjQ93L_kAYelqYPZXRYc88hbtBVdm8TGFU,3262
kd/search/llm4ed/columns.py,sha256=5yZn-eLEqghZwkBGIUWXuo35Vi0bAuydp0bLLwGGZ60,3920
kd/search/llm4ed/config.py,sha256=_4WVguX6Xb7-Q7iuoOh056vF9rSXMGx3riHe7SqVaOs,9134
kd/search/llm4ed/fd.py,sha256=GrrJznC4R1vcVg7_U5KgzPLOI5eVXlXD9eieLIkvRfA,3926
kd/search/llm4ed/filter_score.py,sha256=VDRQ7EGmzKGQwyKKTzxJL_Og7mLz7erMfF7n4Mk3JH4,740
kd/search/llm4ed/parse.py,sha256=me298jdLXfvNLoDe9mjMP-KpakJeIQzkZrkFuXY9Ifg,5267
kd/search/llm4ed/plugin.py,sha256=XXnWFiZdlstjdac7Gog-gxIdQKXULvKqzV_cpmVf8xA,32934
kd/search/llm4ed/pool.py,sha256=py7lxlbX5JKPi4HsjN4lJlet3yhHOUMn3EKUslFKlVE,1819
kd/search/llm4ed/prompts.py,sha256=1DTe8gWRvrlQDEYqtc_ldusHDXWb5S7iI3rzD-xKlfI,6105
kd/search/llm4ed/reward.py,sha256=k0PIhSlQxMKhGSud0o-FPfEN19xdqaJgc4fQmp1PS3w,1010
kd/search/llm4ed/score.py,sha256=la73LzeCn0HOUutz4pGSpFLftF2PBHuueIf3TgM6o2c,5266
kd/search/llm4ed/stridge.py,sha256=uiv3-WyZ9awaqUzxNBaAtIoOqem5yMAZWfgbiGLdPFI,6310
kd/search/llm4ed/viz.py,sha256=Un1Sz5wX4yVOrVggxDkpnveDNASrVx4yQvpUA94Yhow,4816
kd/search/pysindy/__init__.py,sha256=sE-myK794USUDttLe24INMk890hIHMt2LK1JsLMQMBE,438
kd/search/pysindy/assembly.py,sha256=kOZUQ3kZwVC7dPc7FqJfWceFIHklOjzCh_BVHAgIW5Q,2720
kd/search/pysindy/backend.py,sha256=M4gSVHAicTqCEa9FZdydwAYOl1oT4lBqrfP3cQ5yImc,3859
kd/search/pysindy/config.py,sha256=wK1oVLlWXax8MvcCg__iIlXBekvO8Y0dYdJWdM2cP6c,1717
kd/search/pysindy/plugin.py,sha256=8lgPU0ISBebPxWA1uclZyum-cx2xor6-xWmANkIqBH8,21441
kd/search/pysindy/sketch_backend.py,sha256=Wd_EI0YKePrAsj6YWfvDOOOmSmTnUb6th_e_twLJGsM,8531
kd/search/pysindy/viz.py,sha256=21RsqjmbB3732LM07ew6VOitfCExGMvEJdl1ITPlFMs,3934
kd/search/pysr/__init__.py,sha256=vTVfnnWRSxt_eyuZom1gJwMD6_2-OPIf8jdY5KOAQ1g,1147
kd/search/pysr/_worker.py,sha256=4b37fNpNbSQcC1GLmrUu_FVV64oO8peVLBM3dBUwEgU,1220
kd/search/pysr/assembly.py,sha256=FRqvOk_JdtI7vKZ1J5p8SWZW6LhLMyZqYEpcnEyPBEs,4127
kd/search/pysr/backend.py,sha256=2po5xSHuP4CAF0UsG2Fmh-lLYKQHTc3enI3RA-jfu-s,7070
kd/search/pysr/config.py,sha256=L8ARUInmSNxRcHtiObMnrP1VO6SDKqByfiYJ_zpIROE,5180
kd/search/pysr/convert.py,sha256=bidi9XEw6lteL3aLXnXi4HEMhnKoGOV0a4IWwMf_Yz0,3673
kd/search/pysr/plugin.py,sha256=Kl8sWDKsyUXA0MG6VYHoiYKC06U7UYKf1Y18S0YHd_Q,22941
kd/search/pysr/sketch_backend.py,sha256=ioFx-LAoqbMShFH0YH32qjsMiqBiw6PyKp5F11MF42o,21210
kd/search/pysr/viz.py,sha256=zu6C-RpuUIRgrayMGy0cws8Z8mo8vCnMCD53BBUrQTM,6856
kd/search/sga/__init__.py,sha256=ibliPLDSRHQFo42t9BQ1MDNjeA3uAyCuXLlvpDz1Sqc,233
kd/search/sga/config.py,sha256=yErPVehsCVejjUvl2Tau2DpzkaFz7g4jEMBIgSg4tuA,9508
kd/search/sga/convert.py,sha256=UxbTTcZficISNSFSzYzs_4rrQc0HIoDMjRe1XNy0sKw,1636
kd/search/sga/evaluate.py,sha256=eNFvuywuZHh5V9_ZVcqodCQxaBs98Td0VmuIoe6GV2Y,10682
kd/search/sga/genetic.py,sha256=zQ3NwvxRH-4MWgUjDSUVL8nw_nZn3Yv3gjnBMU4hI5I,6879
kd/search/sga/pde.py,sha256=0Hf6txM3rk_P6parIhOORxLgmLfC62C4Z5DGsEFqLEg,725
kd/search/sga/plugin.py,sha256=xLx_O6rRg7ghwgKBoK78QpIJaRHJoEEOf4tbxT7hHcQ,66374
kd/search/sga/sketch_backend.py,sha256=8EMClTcFk8GKhNrALDxTo2rJiY4pWD-0krBRuVohz-M,19498
kd/search/sga/train.py,sha256=ktsGM5plgonqsWj3w0BZg3x53kMVx0sqH3Zv6awlO_Q,7938
kd/search/sga/tree.py,sha256=W9JeXKG_7TpL8ynnHtohcTGuBg4OzfUkNhHtILWnDIw,2015
kd/search/sga/tree_render.py,sha256=IsEDmLN-itTXU_83E5o6EYQE19g56DMifdv8OLL8cw0,2540
kd/search/sga/viz.py,sha256=zLnaia_t6lrdHeY5_on3GKSQAl19Wwbul6Kka1SAOtw,4215
kd/search/sindy/__init__.py,sha256=WEIgvvcLvNf2x5UwJpo1yUdcVioSGH--zyif6mhHaHk,113
kd/search/sindy/sr.py,sha256=2KAj2xQGYqjUZma6OuBe-mMPmDJ5YHIZkPDeidqeisk,11159
kd/viz/__init__.py,sha256=brIeQPYLvFzAq17316CDdQKhfrnn1Eev-LJa3bkIxWk,514
kd/viz/_labels.py,sha256=BRW5rGdjS6kGInmnE8CAup3S6AMHd0iC_nkdVWa6rkg,972
kd/viz/_result_data.py,sha256=bjul1Delxw-zV-ZHXG7ZI1Q7r6J2s853Px9n_GO4yfA,2623
kd/viz/axes.py,sha256=VkH-kt7kom4liR6zsHxj4HyRpSF6gNMvgl3qoZywDFk,705
kd/viz/engine.py,sha256=biWQolOgN8JPANtHO3RoJT57IKcItf4_FbVxjali7Io,31311
kd/viz/equation_display.py,sha256=_MLNn00BhwyYAU4oj7JwpmCrTyHowR6YKi10SqRp4ec,3011
kd/viz/extension.py,sha256=w-0llHT7lnIdnR_OIONWxTJcFAsUXtgFj1ZXotS9u3k,873
kd/viz/gap_notes.py,sha256=kGKRoSPTNf3rrOTo5I9TJLqsbAflQNYXcD1VazdoyKA,2057
kd/viz/integration_assembly.py,sha256=-AZVQGa_DBKIG5HazcQDm8M59_IM_MBboMXB9fA3brI,5241
kd/viz/plugin_panels.py,sha256=GGh9JoxZ-lvLd1EUvrdg_JUo441JphofsYZ7dZ4myrc,12137
kd/viz/report.py,sha256=A1DJSUR8ouMKUk8717mVV8mM_J_WtO--90s-fGaLYPA,8125
kd/viz/style.py,sha256=Y62T3FP_bXsD5-k_4V6TdSvHA6J0p_GCXPXpBeXdPv4,793
kd/viz/tree_layout.py,sha256=6blD2rY517pSZ4W6ULzheEIW8k74YzMGN1AD3T0ZptA,3004
kd/viz/plots/__init__.py,sha256=tKkkqzIp8W-AKj4Xe88qnXmJZ2T6KT9EqCfYlkzJ80M,1548
kd/viz/plots/_comparison_cells.py,sha256=jlXVzWFuXHowzaCZFrxYt-u1AYm_fCxXYkLqmZQs-sk,4504
kd/viz/plots/_dim_utils.py,sha256=sfYIRQUpm9SgQ0ZxL3HtGAZbcR-nn4K1VuGxJ8DMneA,2860
kd/viz/plots/_field_panels.py,sha256=3AWX2keUl31WYtq-L3_SaqVs15Xrr9XviwVMWHvGhy0,7212
kd/viz/plots/animation.py,sha256=QrSowo69gW-9LXsIrrifvJ5iY2f1MDBxoGnGy0lEFoQ,7833
kd/viz/plots/coefficient.py,sha256=Z_gW8A7ctjBaLnoeSe13KkGVveVSsZnrIfB5FzgExtE,8018
kd/viz/plots/comparison.py,sha256=Wt2l54aVcLxvoH2MV6IX4trV1n5shV4SyjvTId92C_I,16813
kd/viz/plots/convergence.py,sha256=j_DrRZy51J5gmzF-frVUUVAKS5EBMnEoymt28ykE9iM,3205
kd/viz/plots/equation.py,sha256=-7j6-I-rc7VKEyHSQKNiUrBnErGnw__79Q1U3NxynwU,1908
kd/viz/plots/equation_card.py,sha256=xeNFK4ZhZcSEh63iOtEvhIM48PlV4Qhgog43uJaEEaw,6213
kd/viz/plots/equation_tree.py,sha256=J9ABdjG46AXmLtiqvTInxg7st5k5Ejq24ruuYvx3BbQ,4247
kd/viz/plots/error_heatmap.py,sha256=xvEqXDdAlYtEEiVFhLtQ8HbHfO8KpBbBta0NdBJQp4Y,7895
kd/viz/plots/field.py,sha256=nm6pIzjlcTpCtau1pZZepwXvcwaxlWkzm8k-PZLpx-s,11485
kd/viz/plots/pareto_table.py,sha256=9Xa_mqhzjrXY4Sq-5QitI264MZNvi1v2Tzt2xtqhK6w,1566
kd/viz/plots/parity.py,sha256=gqyz9j1dk-7U1LN-ATJ7GDYpoyoVOOZvRmaVgSMmKZ4,2179
kd/viz/plots/pde_residual.py,sha256=jHc_5nPOyp_3xkPuGrMab6hwdAMpEVBA4ttq510QYVc,12590
kd/viz/plots/plugin.py,sha256=mFhX0QgOz-JkK7SfsBtKRhsbblCVK2ZpCFcl9MYhzrU,813
kd/viz/plots/residual.py,sha256=PelBWSIGG8MGWGznxFV1swV2YBIWZBr2lKnIWdHeDog,5705
kd/viz/plots/search_trajectory.py,sha256=NbEtpUme8VRQlAyFb04A8ATu920qlmSrNtOgyunaD7A,7466
kd/viz/plots/time_slices.py,sha256=U0F__yOggLRiOtJEQ5bDrXsTgRTgkwqX5ABFYRaKUJ0,9695
kd/viz/templates/report.html,sha256=LY84zBxMXAfZne-iqL928Sp-By4f7LTGtH-f3Bm7AJ0,4397
kdagent/__init__.py,sha256=iaRW5Hla1SB3rwgyM5ogBLDkAnFHy42uxWjtyuIkpd4,353
kdagent/adapter.py,sha256=T99jh975jGD6iEbfR3W_fBOqudgWHetABRRX28GZZe4,87539
kdagent/advice.py,sha256=XpUVxKLvpZYgeRULbo6hmJLI-QSzkPWNxksWiyhRUkQ,3248
kdagent/budget.py,sha256=X3QF_XnTB1JbGj-sWZFoUniqdS6Aw8A_XgpkmWLCqO8,9923
kdagent/cards.py,sha256=JDNfz9PNBh6mimPuHeIckuu9xPoJoX8dempNfJM4CTw,14474
kdagent/chat.py,sha256=dGp9ntpF6VxdiU6DA7HlbnCxmUPOybCuKm7n-PxpvO8,5380
kdagent/cli.py,sha256=mXfDS_okTa4AzTYjmbMQgDrKjH9AUGd88fG0MN4G4WQ,12935
kdagent/config.py,sha256=FRdllNX40-SRG58pC-Mn821l9liQ_A_UOAxKRxIsgCE,5713
kdagent/criteria.py,sha256=iNB_Y2tmm-wh7trUuYJhas2Vzsc25jpBEEDkpzxRfpQ,7881
kdagent/data_source.py,sha256=4MhTjfd7m8bnOnv01FvCn53WdbZdWKYgwhtk_AO6k5E,6052
kdagent/episode_worker.py,sha256=asb2BxZjRyl21Zdga024nbCf1c-J6b6tdfwMCjmPTOE,26020
kdagent/experience.py,sha256=GQj9a5AnG4UAbdvZXg4at6da1lxKQ4lpwpoWXZfq24U,10997
kdagent/experience_text.py,sha256=CTFp4feNE-gXY_SokiIW-uwLC2JR_ONRPzgLMI4jyN0,4418
kdagent/fingerprint.py,sha256=Htl2MYwkCPcu7JnJIBuua_LHhUrmUO3kROa9fw7AZdw,5128
kdagent/instrument_doc.py,sha256=NfNpFFIMXgTNctkeiROraia8PrqvCtFOnI7GM9PnEaE,2207
kdagent/lineage.py,sha256=gIdwYXF6qhRJGsE72w_esuoZtUrWKURNOZd-M_2_Pws,13702
kdagent/model_signals.py,sha256=2dRJP2Ici72oLCD2NarVPmPDu1Ir_-nzp7N3HDCXu0I,602
kdagent/orchestration.py,sha256=ON0SVOvAannCMpxi_CNkNjBzpocJwxI2Rd_T-wc6wCM,14973
kdagent/platform_eval.py,sha256=YTWnLA9W3zp7Wq_6vLLnFwXuEoL7ELeLWYiU1y-TdvE,1931
kdagent/priors.py,sha256=baslKBYzhfVsv5btNh2uQXEFIEYrvvjGjX4CSmoYnFw,6763
kdagent/prompt_text.py,sha256=B4cUVHQYZoGmlLnIhNb_PZY8hjFDwu8GONb5ywjjPFw,4745
kdagent/report.py,sha256=V37kgMp05KO1FdimygoiGfoKirVuHpWD_aR9GYRzLLY,13537
kdagent/resume.py,sha256=CleVXp4Mun8IuMabosgyi8R-I9CKI8w7t5dcZw86gq0,19847
kdagent/run.py,sha256=_EG6JIn46WGgmt98UyccY7x_g5zrXZzMIHcCD0wdsu4,7404
kdagent/segment_report.py,sha256=x3UOZAjo2b9ldZUGTRnDR7JghLKNXPVqJXSqsuluB2c,8325
kdagent/session.py,sha256=_3KjGge3-XDKATYGHsSdw5GXUyso9fb4ue-lKzrVULM,1815
kdagent/state.py,sha256=8l_dwCk96us972d5164k8CUKSaIjCPPeHfmZSdVK_kA,1226
kdagent/surrogate_training.py,sha256=9AWCehCkiGEEOKbwGWGm6hfaVHnKVouUoiB8TAQNevg,5061
kdagent/surrogates.py,sha256=80BIoJ9HzxoTuzyHkgyQ3V-Rjl6a6Vb5AGlUUAY1Ad8,5287
kdagent/tree.py,sha256=tDKCRqomJwqyHR_B4rLM64F9cpg0H1Em4zYwv6sxNOQ,25942
kdagent/_assets/kd-tools.md,sha256=4gVyeFSI4cUkuW5kKRdGwgiMy_iieyocepHJXBih2bw,6070
kdagent/_assets/experience/SKILL.md,sha256=P8YMsXKPRl8lyOqrRJoNwt8kGSKqVmLl2aoyjtDmuVA,2038
kdagent/_assets/experience/render.md,sha256=JmwW5GHXtFlogOpWbSxlfhQnmN4HtKladU-o5Cpbyyg,237
kdagent/_assets/fingerprint/inputs.json,sha256=y59pXikV2u1e-Sm1lWXVoM85kVGMoosm7E_zz2MxbgY,24090
kdagent/_assets/guidance/discover.md,sha256=4WEqv0kHUjlbCXu8J3S4UoixXcM5rBEJ0xbkLLFFqoU,3027
kdagent/_assets/guidance/dlga.md,sha256=Sd9H3C8MKWU9Br7bKJT4R-dXXdtyvvPTLUatS6-2i0A,1194
kdagent/_assets/guidance/eqgpt.md,sha256=5fz9qRW9FtVN0t0_jVbudCCBXtEB8PGWAQem_RQGQ40,975
kdagent/_assets/guidance/llm4ed.md,sha256=VOL-0FC5_lRU-t0xXGugyrhQPC2dbS_ryjiy0LSZuHk,880
kdagent/_assets/guidance/pysindy.md,sha256=99LYDHxMsLdRW8F_4nMSdRbfM0FD_RCkGGCmdbFcL8o,843
kdagent/_assets/guidance/pysr.md,sha256=wOj086KaiGIM5Imu53LmqSA8I25i3mouWj_5xgIVyLI,1315
kdagent/_assets/guidance/sga.md,sha256=n73vp1ehrRdLfx7dyXCv96E-jjbbj7rIo6ZwZfTgX0c,1002
kdagent/_assets/instruments/discover.md,sha256=x7WRGwooBmYNbgyyWVci2rY18mAd_x2y-OaS_fJwHiI,9011
kdagent/_assets/instruments/dlga.md,sha256=D_0sYqm0vSkrNw5Nyx_WNXdZIDtu_Dlvc-EIVtgmI78,5604
kdagent/_assets/instruments/eqgpt.md,sha256=KUR3fZCwlzT_Vw9iQGgoRgo7-55XS2WG7AweWZ6NwM8,6368
kdagent/_assets/instruments/llm4ed.md,sha256=zqjMRAin_k-Ad6zu3CopAJVXUv8CRwwHcJw4MStkUYE,5886
kdagent/_assets/instruments/pysindy.md,sha256=Ht8aXcw7An5Btu-hMp-2TnVatb-eBDfUXhJXpH8DiyM,7475
kdagent/_assets/instruments/pysr.md,sha256=-Dcst7SGweJSygVrcbjpDmhl38H6P4jt_V7wmXYzC2Q,4839
kdagent/_assets/instruments/sga.md,sha256=CUuPxSgeGQVPyyCFp8O8Z3pauSwZuuRLxGHQSjFddG4,6295
kdagent/_assets/pinned-input/ode.md,sha256=QkXlurEb01kOy-vqjoLrhHk1lfzFihx9MZRc2-WEEZ0,1132
kdagent/_assets/pinned-input/pde-evolution.md,sha256=b-oBKZTKHZn_1z5TujKaeNkEt1SEe54Q38BWWEtiEAU,1916
kdagent/_assets/pinned-input/pde-steady.md,sha256=23YxvMXJfeDdjhxzg0AEtM9o4DdY9IKXjojeX-NQcnA,2256
kdagent/_assets/pinned-input/tabular-regression.md,sha256=3hs9dKQkZoz8O7OyODhzSGHvDGUHYmfm6CFfmhVsWlk,1056
kdagent/_assets/skills/kd/SKILL.md,sha256=R53Mjg70U0K7t5RMj7NERmDLp5pO3hGwI8xG1_u6AlI,7047
kdagent/_assets/task/ode.md,sha256=UCPpQ7-u15TX5YblOhW6fYyg-bcLhzvoBXzbww3Vj4E,770
kdagent/_assets/task/pde-evolution.md,sha256=WwhkFGnHch9lK7wxz1WC5LCOdeLbqeCCbA8LxbH6wMQ,2087
kdagent/_assets/task/pde-steady.md,sha256=jL4a4RewNsyEUfKZg8kz-ZOh5o_KfuXNWVssIdYMMPQ,557
kdagent/_assets/task/tabular-regression.md,sha256=M2_ABZjgQpGFceTK6ROdFps4Z6b8rGCGTIjS2-FJP0w,614
kdagent/analysis/__init__.py,sha256=x0J2s3U-GEpy_TybA8Wl_tlP9qQXkkCQ4WN5qKT359o,66
kdagent/analysis/__main__.py,sha256=MdlbIsU4AtNiVCEAav3HgqewZu7bSYXHMFyOX3nXWmY,50
kdagent/analysis/judge.py,sha256=zmTJjJX5MNbl86IADeXe6K9GpWsMkrGY2nysujXErfk,18345
kdagent/analysis/report.py,sha256=hcP8GF034BgOe0iJR-PwX8fXmLskGhEr6JEYOnILvHg,5683
kdagent/analysis/signals.py,sha256=K9M0ieMPZReHOMwREG_NLtK6cT2X2Vt2MwvgKdirL3Q,12035
kdagent/analysis/sources.py,sha256=SC04-OcJJa2p3hjoOjloGvrji-16J87N9OrHH8PGMME,6255
sail_kd-0.8.2.dist-info/licenses/LICENSE,sha256=OULuBEo8eGzIBTfa5SRlwoGv6eoIa1QFCKqv4si1d2U,11327
sail_kd-0.8.2.dist-info/licenses/NOTICE,sha256=Vh5H9VZupPVahphwTlvDWSyIl-AB2lsvaCmVLtkU2p4,3627
sail_kd-0.8.2.dist-info/METADATA,sha256=7vdb7KHH4383pe3p1ykaxOYyD0iJ9EJ9l-ktCeUjZio,15697
sail_kd-0.8.2.dist-info/WHEEL,sha256=YVMoNqKzERt-wjUZwJ33xBGAwnFl-4cqbYkTtWa4itE,91
sail_kd-0.8.2.dist-info/entry_points.txt,sha256=gwy2TFNMv7QDnOC3eqxmv026ZgymJLWvbdzmzKVSt0U,46
sail_kd-0.8.2.dist-info/top_level.txt,sha256=askxHyFLmdnxyY-qUBRqu-yHUdCmHE950vkjYdkomIU,11
sail_kd-0.8.2.dist-info/RECORD,,
