docs/sphinx_extensions/netket_citations.py,sha256=IkS9Uj_yv12vdKlGQwT_HZHgtr2rlTu7zpRBM6d6iYo,7990
netket/__init__.py,sha256=Fmnl4fQvoMWDYYG7_rDLW2nBUFZMEXOPrm3-jkBLu0g,1587
netket/_version.py,sha256=GwUsY9WCnSCpQ0SdoOS7Jo0lHEl0bpyBAlWEC93XwPg,522
netket/callbacks.py,sha256=D6GWraz56vp5MzkJUkOWjybu49qd1VCj72t1yY7M-34,1365
netket/errors.py,sha256=9iAL0dkdv16z2lv2TC9dtIeG7dSMD1SFE9XICFMn7Oc,64771
netket/exact.py,sha256=o4vDhiEv0sew3VL-8_NjT7yMlJNXZIlVunytzI4NCBE,8713
netket/logging.py,sha256=I38BC88--TUgZ9MdkXBDF7-59bpRbftdDHm4L9bpgUo,1272
netket/observable.py,sha256=Y6cWK9N_60gZ3o3TFLg1e0Cmiesf_MqgcvCpuYTVN6k,1273
netket/_src/callbacks/auto_chunk_size.py,sha256=N0WNGMgDLlsLx_1-Rk4lxpuZbAWwGdTtLlBa7og3D0M,9564
netket/_src/callbacks/auto_slurm_requeue.py,sha256=EASRUwwfeUGwhewGS7kWHtlmCpJPCASH9zwsta8xVHs,6030
netket/_src/callbacks/base.py,sha256=eQgeXBOakRgINZcgw4mbP1wHdXTp6PYElaA42ZSXyxI,4633
netket/_src/callbacks/callback_list.py,sha256=s8DXEdaeOKZH0041rxMHkNcUwhAN_YjYwQ9RXed2cns,1742
netket/_src/callbacks/convergence_stopping.py,sha256=WMITxkvXwikdBeP4X6d-3TZfxI8od1l06vwIZN1XoFE,3791
netket/_src/callbacks/early_stopping.py,sha256=gEHf5Dkr4vKaIuICHmnLGNhhiy5Tj_bQzmHTFXu8nMY,4852
netket/_src/callbacks/invalid_loss_stopping.py,sha256=hR-ruRCb4jqzx2gfCtr2hLJOWKs4N4kuGcc2pw19fb0,2918
netket/_src/callbacks/legacy_wrappers.py,sha256=_U4ER3Mg8Pf8YFu3aiKkSbG9H2FEoDpsffV_9PRPQng,2358
netket/_src/callbacks/observables.py,sha256=M_1P1E0dcJyb8Ftf2TqGUnOjCkk7XhAeiN_0-7lX0EQ,1800
netket/_src/callbacks/progressbar.py,sha256=0jPRw7XJ3-lCL3tJOkDaf9MDVglgnxf0h0lD9utO6M0,4236
netket/_src/callbacks/save_state.py,sha256=ojt2JEN2xtqyNYSbHlx1tg55kT0E33NBxN1pOG5N_JY,4096
netket/_src/callbacks/stop_at_time.py,sha256=tEWMX71be4r2CDp1W2v-tSjcaPhe-S1qkJteVxBNokE,1321
netket/_src/callbacks/timeout.py,sha256=7bJQieS51RfhcIzRZg-1wPVcJhjwUxDwjf770pPblAg,1989
netket/_src/driver/abstract_dynamics_driver.py,sha256=cKyVaf-_GCHMryMKW2X_wQRq70CzP-asOrulvCwic5k,7183
netket/_src/driver/abstract_optimization_driver.py,sha256=ADVWtOo7IU8pP8KtBCeams0gSkQOyFFb0nMjnoR_jdA,3185
netket/_src/driver/abstract_variational_driver.py,sha256=73eTVAUiKnDP9TYN2iMTQLKyZkHSy-HpQDCn6Ii9uww,21838
netket/_src/driver/abstract_variational_driver_old.py,sha256=gK5tOngFmcU1PJtTCS1pOmTHYxgasgQ4gA5S8pHFwGY,16858
netket/_src/driver/infidelity_sr.py,sha256=8PYVaDvuQDH1_Szs-ZlvnBApv9RuMnSgX3Ce65tKWsQ,17815
netket/_src/driver/vmc_sr.py,sha256=nVjxy3_1C2Q6NrGr4bMxcLH39-_KIB2ym53raRieVjw,28900
netket/_src/logging/base.py,sha256=BlRvO9navyjQA_5HpQRQZ7hc5mD33nf54AhDHhlB380,2950
netket/_src/logging/hdf5_log.py,sha256=MpTvDU8V68YVBGREhs9WJUF85jQnk0AELcmFKhU7jTs,11582
netket/_src/logging/json_log.py,sha256=t-i5DLM-0NMfb8Px3bp30OPfInDYAhStgAn_Odf1FU8,8793
netket/_src/logging/mlflow_log.py,sha256=3rbKQDUX5gOTqzgky6kCx6AdDktiimuRDJKBfjBZNX0,11044
netket/_src/logging/runtime_log.py,sha256=y4VLZZ7V_JaYlH2mJbRsHzmaOk1SjxGfBcZOnsxa5FY,5530
netket/_src/logging/state_log.py,sha256=YND_T3hXGnQF1wc14IAy5604tAndXduJK64avIE-eVA,6975
netket/_src/logging/tensorboard.py,sha256=tx15Dvi_AROyb0l_Re1w5FBo30Iwj8zB0mYl-Sk1gZw,8592
netket/_src/ngd/kwargs.py,sha256=5o9LUUyfPzmJ6Xe0VTFLbwwQy-D2N12Z7tZmxF2PTtg,1360
netket/_src/ngd/sr.py,sha256=oVesTgsQDnnk9qoDbmGCsQRjaNF4RnDIOJbX8u429oo,2342
netket/_src/ngd/sr_srt_common.py,sha256=jLyDGln0OGnKqMUy-S1aTcFVejj8eFlFQzsnmKDXo8c,6379
netket/_src/ngd/srt.py,sha256=VjNuULQNFCklh0cet0r6L8IwABuTe0I1WwlPp1-GnO4,3019
netket/_src/ngd/srt_onthefly.py,sha256=9ntao0Pzq5XUtiCjLs453Ou1KhigMdeNKwRDBrXg3aw,9496
netket/_src/nn/apply_operator/functional.py,sha256=DA3EtqiF7U5IlU8YJAliCL_Ve2X6uaJVmh762_B-G2Q,2825
netket/_src/nn/apply_operator/linen.py,sha256=48-MD5uKpDX1Rfss7QLXgXE5d19m6Yg44JqttWLo8l4,6471
netket/_src/nn/apply_operator/nnx.py,sha256=T8ZCufwHWV85_8RmAvBmymHzRYi-SvsfNwUPYaHdbR4,5772
netket/_src/nn/freeze/api.py,sha256=5DEFL3CNXZHT1Ol0ahDnDz8-c6VgmyxCPkyqYW86hT0,4993
netket/_src/nn/freeze/common.py,sha256=4uYXq5VgQ4E6j259t9b3_Qku80Kt7OTKHiyIa11taik,3893
netket/_src/nn/freeze/functional.py,sha256=6dKgiEqA53BUMmGoiYbEa-T_SBAbFTFB0G_yku5wkbE,4298
netket/_src/nn/freeze/linen.py,sha256=jb6oTxY7IiBP4zwpEnFQqGoHSwgei281QBzk6B69aco,6202
netket/_src/nn/freeze/nnx.py,sha256=dbO4vYDfP0kMIJiHp9sCNejS-7MOB4zEdQijt1LZxlQ,2861
netket/_src/observable/vscore.py,sha256=Sa8ZJtsckTyT4HEElcyFQLy1daaj29hAn5CBySOYM9Y,5249
netket/_src/observable/correlator/__init__.py,sha256=PKYvNVPieU_5fr43Ms8S17pFnX4ytmt_4rOapS2tCuE,671
netket/_src/observable/correlator/correlator.py,sha256=Nqx6WCdIHZqOheQroeNswALWBLhfzRnexTHCi4vuqDg,2606
netket/_src/observable/correlator/expect.py,sha256=Gh3QgpywTagTFkxqpOQbn61ZHP6E4BxAFfEBw3CJotk,2355
netket/_src/observable/infidelity/__init__.py,sha256=SbXC_evu4MQZptFRXbpBc8h8atdFfFCQ--fk8DIVHmI,839
netket/_src/observable/infidelity/exact.py,sha256=TycJYK0M3U5W_uoTogio_KrJoRWMfgBEcYUtJoCz_Ls,1952
netket/_src/observable/infidelity/expect.py,sha256=fgPreed-qxpJDaP8SZMLdCXUqM93x12Fa3w3mFJBadw,3037
netket/_src/observable/infidelity/infidelity_operator.py,sha256=QdOnVyC_TQjUHc66w_zb0iyd129F16VKRwdJ6MaQbr8,5472
netket/_src/observable/renyi2/S2_operator.py,sha256=4-_LrpAecb9gNEZmpHjHWTErwE3wTSo6ZimS-QOpAfE,4133
netket/_src/observable/renyi2/__init__.py,sha256=C1y3YKLz8kWg0sWeSVLrgXLDmyt_DuLosIx_LNm3Yy0,698
netket/_src/observable/renyi2/exact.py,sha256=Pjd7EjQ9oCgs4SaxbO0KcCgPdhfIClw7syXiw8zkSB0,1668
netket/_src/observable/renyi2/expect.py,sha256=ximxEJrAXc_KEmpe_AK_x5SlihvVMSgFOqt-JCq23YM,3129
netket/_src/observable/variance/__init__.py,sha256=GvRdiDXZEKmeVw-U-0Ufj4oRKXQecm2MASn_bE3hy2U,697
netket/_src/observable/variance/exact.py,sha256=Xau3txdr0cYLMTra2Db5Fx30Usb5Nbof6qjWvwxDNRE,2860
netket/_src/observable/variance/expect.py,sha256=Lc8ec-KMtc2hZlIMHuxcaey84uZERA4H7Fp69YZuolc,5072
netket/_src/observable/variance/variance_operator.py,sha256=HtSEtF3H5fldnTYEp4D-ie_YqkU_3Viw1YvmI057Uhs,3802
netket/_src/operator/normal_order_utils.py,sha256=R0RhwyxdTiu3wHbz6mxbDWY8QB0njhQfw4gYbewvpVA,15506
netket/_src/operator/pyscf_api.py,sha256=lRzEDYgkf6RVMeKm0m_nlRbknVDG66TopV-7XxnbD7g,6401
netket/_src/operator/pyscf_utils.py,sha256=o6tV9vtGwW4CqU-Vz7sPXh5Bg7A-VH9nG8Y_GEODkOU,9177
netket/_src/operator/spin_flip.py,sha256=AVztL7imjdKUFoesfF4VKPbITm2WYPnGbJp79mW5yS8,4632
netket/_src/operator/particle_number_conserving_fermionic/conversion.py,sha256=Iv32hrYXEG4ayYRGxwr8GkUDpQQyjxBvL9CmhsKX3gY,3862
netket/_src/operator/particle_number_conserving_fermionic/fermihubbard.py,sha256=JIQ_V7vr48XIgkmaawf_KF5GKuSuR7rXav6yrdF2f0c,3154
netket/_src/operator/particle_number_conserving_fermionic/kernels.py,sha256=y9jpsKpVGqSYd4CToR8VOH8aKOeTeU7lAqOdG78C3Pc,14508
netket/_src/operator/particle_number_conserving_fermionic/operator_data.py,sha256=-6GQnqc-a90Qn814LwB-okzQvQ82VCNe0Y7vnh5ycBE,23330
netket/_src/operator/particle_number_conserving_fermionic/operators.py,sha256=6OwBpFqeHCv9cpKkaIhe5LH9JosICR71EaMorK3j5QE,20528
netket/_src/operator/permutation/base.py,sha256=5K1BKU5A3g0Nn0UY28VDAtDC_AB5MP_EPJvFM4MZKHk,4260
netket/_src/operator/permutation/construct.py,sha256=cz4_-M6rKKh3L0GnrZUERD_6qr6w16owFm3nTJV-pgQ,2157
netket/_src/operator/permutation/fermion.py,sha256=FehY6eRPDo80pRDpVNm18cDcWLVg_dj97bnr4Uc1rfQ,10040
netket/_src/operator/permutation/spin.py,sha256=EjY2SPQGB6oY_L98gt_ZsOhIviqJMISCKqx4lT5AX6Y,4435
netket/_src/operator/permutation/trace_utils.py,sha256=-9kCFgF6H55v5v_2OYZj-65IGg4ZX20InT1Qspc-uxc,4046
netket/_src/solvers/nan_fallback.py,sha256=ylsKzX1e6jSnnV_OxJTWxuTWbLd-N1jkEKls31ovYGw,3127
netket/_src/stats/local_estimators.py,sha256=gXXtUlvqzxHykq43oX_oYsPMQ1t4_wle7SPU1GOHPg0,9879
netket/_src/stats/online_stats/__init__.py,sha256=LXX2iBOnriPuibG04mzJXFTujA9XKaEh89BZdIZtu58,1152
netket/_src/stats/online_stats/accumulator.py,sha256=G4SfXnatyK6W_Ph-J1CIiKi7xMtfXQy287ARJ6DzaSU,16782
netket/_src/stats/online_stats/accumulator_batch.py,sha256=69cYqN4_ePGeWEgSV5d2wYYRDNQLllIwwPEl3aV7Dis,9528
netket/_src/stats/online_stats/kernels.py,sha256=K8DKVJGZCB0ccuyuwD8ZUrys4js6DiQTHWvfs0D0ne0,7463
netket/_src/stats/online_stats/operations.py,sha256=_kNDjeYmL0nEuXMrBdGildjAlSyBlv3_ya2QoeW1YgY,10002
netket/_src/symmetry/canonical_representation.py,sha256=2klNKaKdoVeoZrH0YZ5onuWkshplDoRg38-BPCPG4c4,10063
netket/_src/symmetry/labeled_representation.py,sha256=ANcXJx4soh6FdJSha9i7jzkXl4JvndeFCn1xNP3iq-w,8766
netket/_src/symmetry/labeled_representation_coset_filter.py,sha256=lQoBCeppXkLMfCVmSYOePfoOcCjo-tPuZbaEnaGk9I4,7246
netket/_src/symmetry/representation.py,sha256=s5PK-o59WbptaBMOgvJdcas8rrzFPhHGpwCYOeGV-VA,10237
netket/_src/symmetry/representation_construction.py,sha256=k2BUv8iTrTSLMxdva2M2IAzYd6IBIIiafUmZTuM4S4s,2562
netket/_src/symmetry/spin_flip_representation.py,sha256=vSlnpPc7iUsBSGiyI0pPGNhNE6hBDZTvG79Q466bkFc,2055
netket/_src/symmetry/translation_coset_filter.py,sha256=UnM6lDw-Q8Qc3RtkTt7QpWA2rzgvcSzKrDGCN-_O84A,8841
netket/_src/symmetry/translation_representation.py,sha256=6lXq8V3Pyu9ltI29Tj0peudFkZgW6GQ2kAC0Uxu_46c,11419
netket/_src/vqs/check_mc_convergence.py,sha256=eg6Q01So7WXHwRFW9IxYmOCKKmcCXVjY2as5UPkUDWI,19949
netket/_src/vqs/expect_to_precision.py,sha256=9-irWo7S4MLfQ3fHyt7Q39rVIBOwOfUVFH7PBjQhf0g,5558
netket/_src/vqs/freeze_vstate.py,sha256=xI5Ytig_4ya0m6mchHy5VrcVr9bAJuoOf0z0RGNNqB0,5738
netket/_src/vqs/plot_mc_convergence.py,sha256=MousJjz7W9jaxLoNDgPX_x8Rujyd47ct929IHSrA3JM,10074
netket/_src/vqs/transformed_vstate.py,sha256=c8zh9wUm71iDeVrJi_n25QNR_LjdB3IUPKPWO2oM4jo,6614
netket/_src/vqs/fermion_mf/__init__.py,sha256=zOSTqwuf8hhlODJXP-5l02KlHqbEEkkZsTseVIhAhwY,798
netket/_src/vqs/fermion_mf/expectation.py,sha256=LQuYpwVXQLAnNoFa321HIKK0VSP_AnkUgmxukAEzads,11255
netket/_src/vqs/fermion_mf/qgt.py,sha256=RGE40qRguJGVfFNJCrqWlfpJ8lgVGnZtDdILlNAEb3g,2237
netket/_src/vqs/fermion_mf/state.py,sha256=Opo7HOajq3Ol4reb6XKrImlf-YbjPjgMVh3P3EHqYYQ,15909
netket/driver/__init__.py,sha256=5jXtAGvph26WRoHwNDleTKnmLR-kVOOdu1yk_F_SOL4,2262
netket/driver/steady_state.py,sha256=RxJxBmVYUVlK9MaqN5SW2xPBsoQkoUEGpLO7bfqBV2A,4877
netket/driver/vmc.py,sha256=MJV3dYnSMe7Z4gCXYvLR2giYTMqhfmuPAwg-O7JhVng,6241
netket/experimental/__init__.py,sha256=k_byC-lSeQtq9vbxRh1WSllburs4ftfDh7i5iLmoM_c,1112
netket/experimental/driver/__init__.py,sha256=m5NrN1oUTYYSIxhPJdNUIMr5KGMHD8NUP_8ZzhFkDBk,1817
netket/experimental/driver/tdvp.py,sha256=l60w_Rw7s8jq94-g6FfK3qM7J6vum0vwfRz6fUdlgrw,6389
netket/experimental/driver/tdvp_common.py,sha256=BVUozL2SIWbmd8C2jXAVJrd5tNImOzjSUj01zXJ1NKg,15949
netket/experimental/driver/tdvp_schmitt.py,sha256=UtDYiFUO_njLcAwEgvwWWWsrtXGlPh8PEtqP7TZ4S_k,11199
netket/experimental/dynamics/__init__.py,sha256=EQFC2gcsWIjN1La_Kcfeqz0mBFtlyWt3YugUOg6i-l4,1080
netket/experimental/dynamics/_integrator.py,sha256=pNgCGlTyNx3EV9y5LigqkcqMzYNxbPV8sVbzItf4LGY,13192
netket/experimental/dynamics/_integrator_params.py,sha256=RzJ7aBeBK6Kopskgfpg_GJ0Zu2g3gowW1nzH5u2Pd54,1901
netket/experimental/dynamics/_integrator_state.py,sha256=f2zq6imE2mPiX2iMp4hcxlpXpFdC6-0tmTVkigkLl3U,5805
netket/experimental/dynamics/_solver.py,sha256=-2gaEzWF2qxY9VSVVC8Xm22dQb3wFUYSxSQ9LiMXFGs,7693
netket/experimental/dynamics/_utils.py,sha256=j0tq1W0HCGEr8y9iRlypVtVZBuHVU1FeqfnCQvSrFlE,3052
netket/experimental/dynamics/_rk/__init__.py,sha256=sl2tCIuOqK-pzEaxjCui2v0kSeQQ2XwtH274fFpdWcE,66
netket/experimental/dynamics/_rk/_solver.py,sha256=-mZyVuYiszTMkKBwzVXt9vlGSAiQHuPa3BTEezTtrA4,7532
netket/experimental/dynamics/_rk/_tableau.py,sha256=u3bYEwTGF6LboYqbxBaImkgRwxzb8-4XaLhJJxLLzTs,8734
netket/experimental/geometry/__init__.py,sha256=xuiOXqqbFP8YiQS2XOEa643xZK0_FPyQYwzptARd0xI,133
netket/experimental/geometry/cell.py,sha256=iaQM4nE-WMCIM2jaDVntaBoecWhBumaK9BrfCcbcLqU,2515
netket/experimental/hilbert/__init__.py,sha256=A_5xRK8Cz4HsNKiDUDpfTIfnYUHpliCUOAszefUWKSY,834
netket/experimental/hilbert/continuous_hilbert.py,sha256=ZD-lK_1Ko5jcNHIlng5Eb05QFSPWgLVp_R74JPzuapA,1706
netket/experimental/hilbert/particle.py,sha256=Ul-OJB19J-mZb1geyh7vPwJjhdFYhGPX8v_lp9-srFA,2783
netket/experimental/hilbert/random/__init__.py,sha256=Gatuulg_ZU8oKCPG6u-tkNon9g8Z8ytJfPBNp-flE4M,2835
netket/experimental/hilbert/random/particle.py,sha256=k1jnm9sZfUODJ6CMm0IyeOMeM9Qn690ZM5mNgi-9zIk,3642
netket/experimental/logging/__init__.py,sha256=yd2CaFcTKSCkS6df3zRvqqI1hSenxuJaPGM8pr7EYXc,1141
netket/experimental/models/__init__.py,sha256=gQpFYr6H_uC5-dlePoTvfmqPdhhDPMcxJUDJM_BUs3g,702
netket/experimental/models/fast_rnn.py,sha256=Yd43NyfC2N1yt0g9W2wfM3-sGKz2KbpJOTWe9HKDH7M,6262
netket/experimental/models/rnn.py,sha256=IrZeekixggITK30N3IMKTJwCJaWolgicRUetgYA2MEg,5482
netket/experimental/nn/__init__.py,sha256=XuB-dYej_IRuPb3goFFX0Dm1BLUbOmutPfRuNJy4uXA,18
netket/experimental/nn/rnn/__init__.py,sha256=MmbtS55uCDFJ2g5w-Fd0_xYSz7UEQDbjDdVHlegeLwg,848
netket/experimental/nn/rnn/cells.py,sha256=XuaTtj_5slKL9OBgPBjZooe0Ggj9CXgcuGczJsor_k4,4933
netket/experimental/nn/rnn/layers.py,sha256=gb_85SVTykI-mbkbtONik9F76eFgLqvDRJzcFvhNNug,5046
netket/experimental/nn/rnn/layers_fast.py,sha256=6RFtgxJFl5O4eQ5eRp803kSVTuQN2sjS8SYwb3K--74,2705
netket/experimental/nn/rnn/ordering.py,sha256=T0KdV7cxG1slB7xxFP4LKjh5greUHZt0APZatOyQVYE,8939
netket/experimental/observable/__init__.py,sha256=LRjFw7L8x5I---03qYOnvhUb1NTO2yjY3qG-bJk6vX4,1969
netket/experimental/operator/__init__.py,sha256=AIMdSDNJ8fAdNjlHvwAHzQEjdyCqiAqCPG1VsmW5BiM,1750
netket/experimental/operator/pyscf.py,sha256=RnL_CnU-g5192PSs3BNuVU1WMVKpbAV4o39dU4dlOyU,980
netket/experimental/qsr/__init__.py,sha256=jKzwqBQXw4176mThPyf6SaxumR-QTijaOX-TQ1fpfSY,739
netket/experimental/qsr/dataset.py,sha256=1GKttf5eMBOTcuKffm9bpRBBhN8-VCCGCql7mXDqr5I,13202
netket/experimental/qsr/driver.py,sha256=dVZcBGurCJQdAW4q62uoOjkOngWy4QmpsP-cyK0Oscc,20244
netket/experimental/qsr/logic_helpers.py,sha256=5f8umYQ5lnXnm6rB3id4phS6DXJymTj5aH-dXzvOhM0,7805
netket/experimental/vqs/__init__.py,sha256=poKId3GA3vE-5KPMehm0eBI4n_L911EQG5D-H5Bj0N8,893
netket/experimental/vqs/io.py,sha256=QdysUudoMJeO4RPhwMeyP8auF9GNnT_jE9Y43zU2boo,3276
netket/graph/__init__.py,sha256=iQsg3R4n5Eyx5EW3mMnnwchMS1DDnF5lG-tTKtF-3us,1051
netket/graph/_lattice_draw.py,sha256=mOuvqk5RhJPNOFshvvhi9qL917yon4i6JSrKnNJewq8,14106
netket/graph/_lattice_edge_logic.py,sha256=Wk2TLm_Zx8lGLSUPwj5SvtlVzHtxQW2s28K9-Mg8drY,7703
netket/graph/abstract_graph.py,sha256=6JbZonZG3INoyAjyxvXENPlbfGiqo9ASiPY2x4C_bxw,3300
netket/graph/common_lattices.py,sha256=__PtkGf64WeWu8861VAtgSwGnWMpT3JzkGRxXZGxF-U,23337
netket/graph/graph.py,sha256=Cfn8lMpvQG-lqD5eJdOZc0I70t5t_u4yDbRPgl1yVOw,8931
netket/graph/lattice.py,sha256=5icwRpJFAniktFsc8t7ou7cVYytqAGTBt4t3sohyvIA,26270
netket/graph/space_group.py,sha256=RrbcLi7xevsaabO2OCK_mFyBgIx5Rx3AgRx3RYPLwG0,29093
netket/hilbert/__init__.py,sha256=hRDbQFDiLWldGKg4iLOLBz1bJL8AMa8BL-jIWjFMkFQ,1150
netket/hilbert/abstract_hilbert.py,sha256=4F0dSu9e8VgOfTVX6Y-4TVb_5wdQU3KIfvHuOQD4rbM,5521
netket/hilbert/discrete_hilbert.py,sha256=EJ_9Vpn6qXxB3-MqG2m7i6FPX9WZZkRNwsxYplQjPuY,11202
netket/hilbert/doubled_hilbert.py,sha256=xZtdqGd5sheKzH8eW2Xb-lsd-VPJ2CC5pArwRmA9p2k,5831
netket/hilbert/fock.py,sha256=R68lvFCx_xVNY6zW7LXzlEoAe1b-WiOHK3siLXOz8No,5664
netket/hilbert/homogeneous.py,sha256=CjkLw16gxtb5kXMj2F04EnKBdUpzJXOVEa2f1i0JmcU,11256
netket/hilbert/qubit.py,sha256=c9wX22hLAgc-Z7OtY55ld0mXyOfPLQvgzlY2KpIQ88U,2106
netket/hilbert/spin.py,sha256=iFH9paKGxpFNkuLrUUWtyazyyVFnOfl9WJZuatrO8CU,10055
netket/hilbert/spin_orbital_fermions.py,sha256=uqNdas0NYDkihNapekzhGardqJqtR2YcsPo47vBcGzs,11597
netket/hilbert/tensor_hilbert.py,sha256=D3-3W7I3qj84MKh-YDRV58SVAnSduLBzukavrggzFWs,6992
netket/hilbert/tensor_hilbert_discrete.py,sha256=o5MD-FcP1DSmNCWFwZjI5Kf1_V2aVVYP4p67JsNStIw,6838
netket/hilbert/constraint/__init__.py,sha256=9r7_Qhkt59ILtU_jbab-nUmI7hd7Q8gwbSHfbQxCqXo,842
netket/hilbert/constraint/base.py,sha256=6EVfJWs-kE_vtb5Wn8RSrOKSU73wG9bNYnMx3YXMKdQ,5147
netket/hilbert/constraint/multiple.py,sha256=dEXENjIUlPAaJKEYk1BySpwVORpmpoTfDJdA-aZzKzM,4222
netket/hilbert/constraint/sum.py,sha256=A55D3fGUAIC5zNpUHFxCbs6hrtUqYKu0IgFrEM0pNRM,1697
netket/hilbert/constraint/sum_partition.py,sha256=kQbxcr32JilIOGDAXck-mejz_JFV-nz4DKSL2dJ1yJk,2614
netket/hilbert/index/__init__.py,sha256=_m3pq7oA84IKRumeFSvY7R9dZtHHzL5qeM5y9BbzyqE,1694
netket/hilbert/index/base.py,sha256=RCiXnz3lmTCORZ1mRM8mtwsT8rVt3bAxF8hoL_XNW5c,2485
netket/hilbert/index/constrained_generic.py,sha256=_nyVjFm4-S7lcqHUojzkDSiORQ-1QLR6InxnXMlATHY,6722
netket/hilbert/index/constrained_sum.py,sha256=tzP1lMeGJWMMKb-PSRAHtUdeFOGYvJA3IbBS8GTor-k,4202
netket/hilbert/index/constrained_sum_partitions.py,sha256=ztq3ddrLThnf6E_3YQli2h8bJ_Kbft2L_D7XG65KY48,3638
netket/hilbert/index/unconstrained.py,sha256=kP4Bj-zuLSKy2fY5flSbFw7VqB-_Bz3nLPDUW04htGE,2074
netket/hilbert/index/uniform_tensor.py,sha256=LtY4OWGamSAKTATCdviB9if7cThlsUbAuDpJcyDV3xI,2319
netket/hilbert/random/__init__.py,sha256=1NYvT09yHGcB3lHKQPar667VsTNzNvPTM9HkEPrIYI0,2855
netket/hilbert/random/base.py,sha256=UA41Ee8VMCPVCLn5VV0jZkPegyszIESlbox_61Y_BuQ,3890
netket/hilbert/random/doubled.py,sha256=fKkaddbX98A-C88ks6fjJm3MKR_ML-8Vszm_o8iqThg,2229
netket/hilbert/random/fock.py,sha256=aLwS5lBORWe2igvm2gfh3Cmz8w1998mgWxDn7-QKADw,4062
netket/hilbert/random/homogeneous.py,sha256=Pkjw5swbk6ZO81ADPEomDYGznRBsxhGt4tfB0sjL9V0,5305
netket/hilbert/random/qubit.py,sha256=QdP-SfvCxaQ3mE1dKC0ow_vBCUxPn17iqrN3KsM4gjc,1078
netket/hilbert/random/tensor_hilbert.py,sha256=6oaZOF6LpPYn5bwiqT0pwP06eGUdwfJODy2r4xfLgtY,1942
netket/jax/__init__.py,sha256=7WWSmf1A6ZLtOK9oJmDQkRo6EBWZ2ZvRZskAEhHV9LQ,2203
netket/jax/_chunk_utils.py,sha256=4gkhum8z56zNmncmiEP69DSIKSpKgX3H7dboNDfNooY,3157
netket/jax/_compat.py,sha256=yO-CKoCBlM8QEvqNukUiEJxtGgO5tVfnvc79nKwztBk,2129
netket/jax/_expect.py,sha256=1aSbjjJl_Cg_qoqiWtlv9ONjpswAzx5YRy8Ml3xfBU8,9278
netket/jax/_grad.py,sha256=yUWKa4saRYQNRazJKCnq2dYfN4rUGAIpzONQclGWAfE,8524
netket/jax/_math.py,sha256=ilcHEqYZU-2OdMYW53_zZh1I2NibKVahTMLxRHr1nlU,2443
netket/jax/_scanmap.py,sha256=ue5s1fhZKldCmYnFv-sFpCL4yWvhWLHIs5EK-T3kEfw,5076
netket/jax/_sort.py,sha256=zONTI-l3B2f2tIQkya4lblninmae7RJJDTHFLZv4R_U,4122
netket/jax/_sparse.py,sha256=MvdkRC6GNScNfMfY2T1sYtodzKNRtTRZSJ8eL1Nd2_A,2796
netket/jax/_utils_dtype.py,sha256=anTM2LRWT_spxXrWmEvVL1jPIfuN_kSFIRfco-C8DwE,4953
netket/jax/_utils_random.py,sha256=Rqfh8RZ6VMtIxegC9ka598qd4gDwwvqAQAOsbDTPMTo,5419
netket/jax/_utils_tree.py,sha256=m0wk2wDCSkMK2vYq5PvCpkHEbJtAccZSn25_BbcTIDQ,7528
netket/jax/_vjp.py,sha256=gAbDAyNoGnOkbW7C_zbjSFK24APDaQ9ReUTDN2f1wTE,6475
netket/jax/_vjp_chunked.py,sha256=Buf_st-MDOEVvnMyWKsajKU-EvneVEg3h1qA0llYzL8,14410
netket/jax/_vmap_chunked.py,sha256=_UNKk4X_F8zqe57QHX6GmYO_JyRv-EsFMJots3Xz_l8,7655
netket/jax/lax.py,sha256=wblJEiPqVhWxgOVagvMeX7p-i03v3CaEiZeg_ySIVZY,939
netket/jax/_jacobian/__init__.py,sha256=H9mGX4gJ0nMTU6C_7mety-A6TLg6yDzlmJuIk8cztGY,76
netket/jax/_jacobian/default_mode.py,sha256=58mKUD47_JkPXGSBrCyvn9DrRJLIESK9Ts9e4dOLhKs,4601
netket/jax/_jacobian/jacobian_dense.py,sha256=WL5tA5q_gVdaArTigv6fdLM_p_Ka2UByb7aWWQ47bW8,1598
netket/jax/_jacobian/jacobian_pytree.py,sha256=euAM8iDpgiAd41kwK_iOlJ0je4o6K_RCvDJGJJTEjdo,3088
netket/jax/_jacobian/logic.py,sha256=okZjj13Dxv1dl4YYK6pCvemdCNXRFBGBWAfWSYs6M8Q,17297
netket/jax/_ntk/__init__.py,sha256=_nssuzZ7EHPmm7DbNFYhO44RVBthqkoK0k2eWi3lKkE,45
netket/jax/_ntk/logic.py,sha256=3bUTdfeJuYvCW0I3cIB-PJg_oMWzdiGtrPKSbr4SGog,17535
netket/jax/_ntk/utils.py,sha256=EyMLTgNKJGrdTdCyNuCCe_KP3bN1hQ6K2OsdYN1qasY,11081
netket/jax/sharding/__init__.py,sha256=Paj3AZPvbnF7PyT5pkC7N8Mi54Ly3okruqnxIkOG_6g,2137
netket/jax/sharding/debug.py,sha256=0LZrFgw5w6LncejK5DP81Q_ynNjb8f4HQ6U-Bp5XBlU,1550
netket/jax/sharding/fixed_sharding_decorator.py,sha256=tMBsMRAbueMTw7mNSu79g41xuztNYjfefgwWQEp2iQ4,14917
netket/jax/sharding/fixed_sharding_utils.py,sha256=EYSxmnnXZyQwWsLR2szujpZe6eOv69ytdbqw902hlvk,6193
netket/jax/sharding/flexible_sharding.py,sha256=mIcrIcr5VHvTxbf5DV_SSfiHWFu_G39-hw8eRzCH7aM,1779
netket/models/README.md,sha256=1X0QPiL1BFGV0aEIRuxczvNzRFi5zYxW0q8JcMYtAbI,396
netket/models/__init__.py,sha256=_WyGYjKXS0X2-Jskslj6SzHW_4NGhxEs7G_HgMmV5MY,1301
netket/models/autoreg.py,sha256=DX8uMLmedj-USmJ0rG9exmFDSZKnRwGnzaRk2Jef9cg,14708
netket/models/deepset.py,sha256=1Nsi6YgF-yVIuryftFQtyFEEffbBYt-UOtLNKlUV4G4,7475
netket/models/equivariant.py,sha256=bpIspzHvN2TdE9snrh1Z55bxOpAAYy84vM0R8eRk9Ns,32164
netket/models/fast_autoreg.py,sha256=rqYhQc9g-oW1TepWHQsQeNZ_v1ke9kZ_IIVq4YyJPV4,9104
netket/models/full_space.py,sha256=8Hhd8k4q-9CWh-bglNcCkqtMILwmLMBp_kE_sWzlc2M,1779
netket/models/gaussian.py,sha256=HGcArM8k4BZ1hNJIIMhgfZhvrwuqubxioHG3TIhQwa0,1079
netket/models/jastrow.py,sha256=F6VJT00zAe8TWc0fF0mp74n993UEJCnwFBcVBE4mIiA,2496
netket/models/mlp.py,sha256=EkHsMYwMw40-7AuryMyWYX7EbVBH1Tl_NRfO_llepv0,3664
netket/models/ndm.py,sha256=jGnpTBN0cRQjClRZJNrCCU3zLsM-uMyg8cJsD-BrmK8,7704
netket/models/rbm.py,sha256=Tm1CZLejEojYUxGHx_IqlyHgXeBSnJHEks5l7862fYU,9743
netket/models/slater.py,sha256=dNxfuzSdsdttKEL_qbsV_IOwMb-n-uJIUi3nOGsYw0s,17499
netket/models/utils.py,sha256=Ggxg8qkT2acl6C3GhqmPeYsk_Tobg5h9xfGm0laZbfw,1039
netket/models/tensor_networks/__init__.py,sha256=m4WZ52iPmvX2Dry6E_Sy4I1qvA_qwMYwFrHf7dpXFZA,755
netket/models/tensor_networks/mpdo.py,sha256=CPEpk_AVTg_rVacLztXZBrJjgoTDOZUUTnuUAUBOZ8U,11368
netket/models/tensor_networks/mps.py,sha256=2XlRzlchH2d2rhYMZ_GlktC7LbXPOAdorrhqR6GzR9Q,8499
netket/nn/__init__.py,sha256=yxzqYymJVaUBkXtei_Tn3Ev3AXi1p--qPLlQYEWbKd8,6023
netket/nn/activation.py,sha256=3DXyjv07HivTNa62wNUc75Wb5O0WgP3kXPMUd6G_o1w,6624
netket/nn/apply_operator.py,sha256=d_zzSqeaRe3AAtUjBAIRoq55JfhGT-A0JKULX9HpXYg,924
netket/nn/fast_masked_linear.py,sha256=RYiUTOQL-R6FvBz33985Ue3E59EupfSjaV5JCw3H-9c,15775
netket/nn/masked_linear.py,sha256=ivbPnh8TicabGoj1eF1ZsKbGpNBrVjPdqY1WGNh-9Yc,10643
netket/nn/symmetric_linear.py,sha256=xNF36ii5cN1AodBgzX1-SE5iFrfO2TPHocJ4F4IWA8w,34078
netket/nn/utils.py,sha256=cSE5icQ2Uvn8nIXeESoWQ4VJsdRiMWB8yVXwkwESRIk,7740
netket/nn/blocks/__init__.py,sha256=VMTR5lA3ByCjnp14Crv2BK_cuNRndX4r6kKmAeKkPc4,766
netket/nn/blocks/deepset.py,sha256=kEe1yHJtZOzpSmgSh5OTxTrALH2pvGZ05NtvXK8QTlY,3809
netket/nn/blocks/mlp.py,sha256=uWUnPezRJF2Gx-MHXCc8cDdLmg0idYeRS7srUb0DQ4s,4996
netket/nn/blocks/symmetry_sum.py,sha256=RXx0rZwXez0DcDPjraAbW--i7ClkumM2fxdIzpfLrPk,6104
netket/operator/__init__.py,sha256=xP0uiPNYZM29RQL-zuOjgY1FUV3GS8gP4I40o1nk3Tg,1887
netket/operator/_abstract_observable.py,sha256=5nysUWk0MjcnsMg3rfet-fp2wKnK2kBwMJ7l10gCUMo,1879
netket/operator/_abstract_operator.py,sha256=Jww3K7e_DrMG7bpZIbGS8mlYzx350vnmX4kcvCMTx3E,5910
netket/operator/_abstract_super_operator.py,sha256=lfj0BdfaugwDZxJKyCYIOrJRpuaEv_fPhRmWtcnTKj0,2894
netket/operator/_continuous_operator.py,sha256=q-BEB1rMEg-Vl-Wp2jHhcaOobmE65zkhC3ImAfgsXZY,4295
netket/operator/_discrete_operator.py,sha256=1v0-n63GS9Agt3DhHy8OAP3scQz9NVhyo6qxO-Zcl08,11995
netket/operator/_discrete_operator_jax.py,sha256=uTeDD7ZsXNHv_togy3W8wTrn5KFbN0iu-FWy-a5nh-I,11720
netket/operator/_graph_operator.py,sha256=v-BbFc0vkk674dm9YxC8gJ4Lm4Ws4peMb2HNGQT1krU,5984
netket/operator/_hamiltonian.py,sha256=ODi4SdMP626bo6HDCROXzw6SgTRrt68NpXs2DRpdJkE,2800
netket/operator/_heisenberg.py,sha256=NH_lRWSVyA1wf4NN5GjlOzfBy61EzZTa4G_9Vncb2VA,4928
netket/operator/_kinetic.py,sha256=mi3eFpZC08svw9vi-jblxqM-cA_v1C4UCECx3Wa2n3c,3671
netket/operator/_lazy.py,sha256=q7xe38F4WOJDZ73muxs-VfluC5mkGyTATao4_VHHG8o,6434
netket/operator/_local_liouvillian.py,sha256=3N_OtNYKsVF7gH_qIQxIJUvpVf3Xm7VDByyTqVSCg-g,16419
netket/operator/_potential.py,sha256=p7GhWMxABhaHC2BltHur6V_5qZIw_PQNqz_WQEUCk_0,2562
netket/operator/boson.py,sha256=5gEsl8Cj2iKEyopA_hX7hM0MmXbirRPDZQixpGpELTo,4748
netket/operator/fermion.py,sha256=r2LQQglDLjGUodBwOHG2fVOe9NpejPzc4WQ5wIRjGKQ,5727
netket/operator/permutation.py,sha256=0vsxIHtdLx5riqCcj510nUxbNiuUcVmiWmuWVQyKEG4,464
netket/operator/spin.py,sha256=ME1C59M9Kho0YnSrm0op-TirIRNGAGntuL67tV6LjAg,6741
netket/operator/_bose_hubbard/__init__.py,sha256=srs0navfntoLj-i6FbtJSsFWvUeY6AX0pqZEDOl3o1c,737
netket/operator/_bose_hubbard/base.py,sha256=fVg15NxOoqSUX7ZdVtcME1u8HXzdtmaOsfSjOaP3N1Q,7093
netket/operator/_bose_hubbard/jax.py,sha256=v_ZEhEyoAOUS0RjOmaIwQiS9W_qc9HnR-s3J94V3wGQ,5277
netket/operator/_bose_hubbard/numba.py,sha256=BbTiXaGAAGyYjGkUSuWWkrImKykpyLSCeUeIcxJZXC8,8400
netket/operator/_embed/__init__.py,sha256=r03obvM-uk_56AkGz0s8-iJBwCbXdIZX9Gl8ptcOqwc,794
netket/operator/_embed/base.py,sha256=w7PvfFdI-4VGgvBLOw4xKFbzp2v6yFh7gDVZx5XrNtE,8478
netket/operator/_embed/discrete_jax_operator.py,sha256=qQUw5pbKE9aJFtWAfEGwM9CsoJOibIaS0CDnOQu1zwQ,6331
netket/operator/_embed/discrete_operator.py,sha256=zmrHZO8-0uL30KYio-NmfNow2IG6LIf1cxkp_k0wpSM,3432
netket/operator/_embed/operator.py,sha256=Btm0onQfB2GiERoDD3OodWuPbqf6j81uRZsM0yQaJh8,1410
netket/operator/_fermion2nd/__init__.py,sha256=j5KeqfxRAQo-E1tNkRmx1r0Uw3my1otIKeiOUFmoTCg,832
netket/operator/_fermion2nd/base.py,sha256=485CTml_Y5ZhoaioumdsQlFVWM8tYpC3GXqCwhR1_S8,24085
netket/operator/_fermion2nd/jax.py,sha256=Kync6UUiQ6Tfq8_wLT8hrqAyXbCjzyVFm_tFjIRVunI,26204
netket/operator/_fermion2nd/numba.py,sha256=LJrGTuHePaznIRdG6xaU-5XmIr8kANmHKkvdd0niIY8,10694
netket/operator/_fermion2nd/utils.py,sha256=Qv0L2ANOHFDDnseFU_4HxP-FR6ushfyV4I1Xv6ALML8,17443
netket/operator/_ising/__init__.py,sha256=9cfY5-lMz1i9q7vdH3RekU55lFiPKs37lC4bKz5_Q2U,748
netket/operator/_ising/base.py,sha256=KMfGsiVkNTZW9YzMK5E2H0HnZN7b-QfXwe8CazGKB1E,7090
netket/operator/_ising/jax.py,sha256=Jf4Pd_oR0lN9MZQR23Yan1HeG-oYAQD6PS_IxNXQUMI,5476
netket/operator/_ising/numba.py,sha256=1nTIwe98cdrrA25E0DGXsdsOeP91pWaJaA-Q-u5TdXY,6050
netket/operator/_local_operator/__init__.py,sha256=mCZuuxBfGqLhOlGnB63XEGeqCut-qmRkYZtCmtaeEA8,799
netket/operator/_local_operator/base.py,sha256=nNKTsjYuKM5yg8bYE2z06U0DGiu0f4QqyB4f1fSjnWA,16104
netket/operator/_local_operator/compile_helpers.py,sha256=qFpOcdJYPJTLtWzsJJQeMerRFBjwDrrANPDGUoJdKy8,12467
netket/operator/_local_operator/convert.py,sha256=eb6PgEE1VxymqdwYhihDCXXF2vE6XWc-JyyxCZ_AYbA,6777
netket/operator/_local_operator/helpers.py,sha256=BrCbKX34m8LU3IcLx4Hlbsomly1jsXYIUeIA1QMUeOA,10124
netket/operator/_local_operator/jax.py,sha256=6qF62EtLsQme2-6VA5i6Qyzs726ae5xF8Dew1u6esgs,12370
netket/operator/_local_operator/numba.py,sha256=wFvEKsqcYx_t3R7NI12dyks7QLTAASd9tV53G69bVUQ,13343
netket/operator/_pauli_strings/__init__.py,sha256=8sgitaCz2E5YBFJQBxsPyDgEAd4wYDGiCCX2JCWQnWs,742
netket/operator/_pauli_strings/base.py,sha256=QPo_Iti3cpzBB6gp0oVakwRHlTuGb7Lp20c54h1dsMM,22333
netket/operator/_pauli_strings/jax.py,sha256=kU9AbvZubbWZ75TmWQQNkiO_-oqHyfJ3mzmkE9M82eo,17204
netket/operator/_pauli_strings/numba.py,sha256=TtinlrAV2xOc_4B8aMcp_4CYSR7hEWMIRoyZEg2YYoM,9690
netket/operator/_prod/__init__.py,sha256=GmZ_gyH5tOxRY_b8gMOcjUDljWq3PLVDrRRDwQdMgMc,885
netket/operator/_prod/base.py,sha256=0x1xuiQgFSYY9sTNhT6030IreAPEC3b8Ov_YRIkd20s,8972
netket/operator/_prod/discrete_jax_operator.py,sha256=_5jOhbVkGnkDwG6OFt5ox3Q6tp-b5bpdvWFVE6pcERc,3957
netket/operator/_prod/discrete_operator.py,sha256=UUDl_WOFQDklsbqE7-MW3Yv7PLB_y-M4J6MSnUoMl2A,2335
netket/operator/_prod/operator.py,sha256=y9gPJFEnvfiKOnwDoaRujo6qxRMi1DV3-3_z6C_3QTo,1352
netket/operator/_sum/__init__.py,sha256=e5Ot4RGjvWYLq6F8uoKHBhS5LtXznbFSFaMj4G4x8KU,931
netket/operator/_sum/base.py,sha256=rta55xzlByPMCWOMdT2cWtMRDfvj3zt2Xf8IGxsAKYA,11082
netket/operator/_sum/continuous.py,sha256=Fq0-I-A9WcsMSI42EgBYWSUeGlca_59ZXHUXxeGY33A,2860
netket/operator/_sum/discrete_jax_operator.py,sha256=xyEf0PXdPcbgwCXCiSNoY5WJbU-COdxPdtYqR8HS2l8,3637
netket/operator/_sum/discrete_operator.py,sha256=x-RZa439pWxM44U-TmTXgj1W5mEk1vOMvQqcG-sTRuU,2568
netket/operator/_sum/operator.py,sha256=bHELqTiJyKZNKhSqwajtcaEybYVhVl5mxZ--kWAoqag,1423
netket/optimizer/__init__.py,sha256=aSiZ_MDC7hoNWXfGldlwUAsA5ZbF16ddQilrXwCcIG0,6542
netket/optimizer/linear_operator.py,sha256=hBMsfs5kMiJGy6i06w-R5J92W83pk6lHFd0Pvf_NMKo,5910
netket/optimizer/preconditioner.py,sha256=x8dFhLScfOP3kOZrw8HSndH1Fb-J3CJA4XtyDeneBhY,5543
netket/optimizer/sr.py,sha256=9RZo2qyN1OXAdfNsmr7CWGqKuGRVWs1mxP2W8AIK_m8,8409
netket/optimizer/qgt/__init__.py,sha256=kxfQLJvenIcthgaB_DUk2Gr-rJxAL4PmdffG0SoIDU4,806
netket/optimizer/qgt/common.py,sha256=x2IyYeMnqzhr1JYtYk0uueoibn_dLuYCKas7cwuG5mE,2059
netket/optimizer/qgt/default.py,sha256=cw7vFhykDD8I0WJOrNRQXdcdmjzdE_WJy8org6sOk8Q,4368
netket/optimizer/qgt/qgt_jacobian.py,sha256=_YXBhqRGmJGoTScRpQWxtEuWasv3Eau9Fa2j8lGz_Vk,9791
netket/optimizer/qgt/qgt_jacobian_common.py,sha256=Ox9DyKoCo6PtdV9rk-1ILxrcOhUxB38a86ieD6Q7wIE,2213
netket/optimizer/qgt/qgt_jacobian_dense.py,sha256=GStiKTO6VD8APPA5wMg9syK1wDsNRDpSC_2dcWawy7s,11252
netket/optimizer/qgt/qgt_jacobian_pytree.py,sha256=_eNaskY2HBJ2yR0KWZ1NOszDKWpL4sl2agLQt3YDQWU,13750
netket/optimizer/qgt/qgt_onthefly.py,sha256=RMOyuXVVy62tfKTwY7v0zhQimrUFgehAqr7V8514jxU,9980
netket/optimizer/qgt/qgt_onthefly_logic.py,sha256=u54caAqTDgYn9Aw7pv965VVdw-yS0C5zVSHx7TTZ8gY,8444
netket/optimizer/solver/__init__.py,sha256=gx7NsA-GfXIRAl-YhhDCGiY_aUJERw9KAZamb4SdZAc,551
netket/optimizer/solver/solvers.py,sha256=8Y_snCJIEeDUVp5Om9w9dDsqQENczFS8GRpII-u4-bo,19718
netket/sampler/__init__.py,sha256=jaIeYbrKhroDCXqnAr61d8lHF-W7kl3o92ph-bAz8Y0,1593
netket/sampler/autoreg.py,sha256=bBkSb_lC4R-udgJRIGbY6Danvos-fqIJyyo2I1IvncU,6538
netket/sampler/base.py,sha256=VoFIUa4Essd_uiqkF6cQszypwaIbtxeNqLCTpU0CMDE,17722
netket/sampler/exact.py,sha256=K65UJS-dRh5LMI--WTUl7di6Z79vn4qilPoUgUhi6tQ,4976
netket/sampler/metropolis.py,sha256=FIm7ZyGrajvxP9xSQGuKKrjInsr33VlmH2nZ_JLJhFQ,34757
netket/sampler/metropolis_numpy.py,sha256=nR_dFKnBSaseEbDDuY_E0Kni3Wc6ZPlR_nAgFoK0wxk,12347
netket/sampler/parallel_tempering.py,sha256=ngo9tewBeB90HbpVGFKiklNrwXk1NVCBLXj-kdfSWdE,27814
netket/sampler/rules/__init__.py,sha256=Ok5spXAnVugjXMjF0w2XF4RQaboY92d255cbDaYoqzk,1232
netket/sampler/rules/base.py,sha256=1k8ZQw5l-5U2PpQbWX4bZQ5mQ-lFyXTeQGwblOPnYFY,5127
netket/sampler/rules/continuous_gaussian.py,sha256=eC7JkN-3mftas0y2oqkXKr2kPWfKdkE6sws1Q7rggk8,2403
netket/sampler/rules/custom_numpy.py,sha256=C-P6fOqwLuJTf4Gobfi4jXN-AWqWudYGgTqphoYP8ss,4682
netket/sampler/rules/exchange.py,sha256=w9YIRwNKa-wFgIONggza5jqbNkDyeA_3glTufOX_X8U,8791
netket/sampler/rules/fermion_2nd.py,sha256=EcDwPIuXSoTlLjzJCT69nahdX5nY0meeAAheQ5P6YLY,3000
netket/sampler/rules/fixed.py,sha256=HSxRdohPp2GdZg0oJOIxWa5xlwQGYUf4UkfcUIplasQ,973
netket/sampler/rules/global_flip_rule.py,sha256=doklJxaWd2ckTlwmVbJWIlmLyDA-mScIAKze3NwXsVw,471
netket/sampler/rules/hamiltonian.py,sha256=yR0hVER1aPIojw16xMdMqhMMY9adp4emFV0KsayW6m8,8843
netket/sampler/rules/hamiltonian_numpy.py,sha256=WpS6w5M8tK3bEPYQOB6JHbF3S04ltWKvXduUQBcOp0s,3765
netket/sampler/rules/langevin.py,sha256=GrOhFe33zX3EcVMAIQqjsLfoMOnfxGQkCMMBhuif7uo,4216
netket/sampler/rules/local.py,sha256=6QXusVpo0623J92Gjz2NARzliO_nn2LMjhVOQ-V9AYc,1722
netket/sampler/rules/local_numpy.py,sha256=7cpJUlZAMvSmMdTp_XS2p12H88_Ks1QvNamxACULDUI,1783
netket/sampler/rules/multiple.py,sha256=xMdv94tkiiJfJEf0K268XqWRzYsJyZHM4fkMPxwNTuo,5335
netket/sampler/rules/tensor.py,sha256=fM5z1ahVy6PzcEqkFgdUWFWO-HE-gkKHipSTiMJG-wI,5407
netket/stats/__init__.py,sha256=Ye6vnIfOjriL9MUSa9eZ-Xh3iPsSCrOwnif3R34OZKg,2097
netket/stats/_autocorr.py,sha256=BrldJ-n_3lMvZGwyygt2okJ_EPKuMGuFHoeJCoE-r74,3101
netket/stats/mc_stats.py,sha256=q4IEmzZ-nhu4EZhdhs1RQuakc8WiG4VQPuWtkaBJa-E,11987
netket/stats/mc_stats_old.py,sha256=B3BrzhHrJIlEDhUXdsUe2e1M92n8TGq9jmitJ3lfb6s,6848
netket/stats/mpi_stats.py,sha256=mo8vshusCHIBm86EMUlIZVYzViv6jBtCXvB5yxx4xrE,4564
netket/symmetry/__init__.py,sha256=XNq_qVZJNfeXzkEIrWXJE0qJutfAxcivPP8xZEc9eiI,495
netket/symmetry/group/__init__.py,sha256=JJWNdTh1wMGWgngbjmt-CiN-IvfJ4JqEgnIM8JuzFhk,974
netket/tools/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
netket/tools/_common.py,sha256=l6RH9Tk8Vlh5O8ppDjS5GpHsJKQDD5Ey1QsA85pTjdM,1693
netket/tools/_cpu_info.py,sha256=oHyer1uZ-npHi1lz2INMVo_3lJd21QDkxlivNuDs3dU,5235
netket/tools/check_mpi.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
netket/tools/djaxrun.py,sha256=QCJFufktcKXTlyCNicoG9xdlab-p1q6GnKGoA0qMQwE,5104
netket/tools/info.py,sha256=ZvlpDyEBswMxgkDawIigNWp9W_WtPdGDduMxEh2S5xU,3434
netket/utils/__init__.py,sha256=wyT2Jr3E7ii7_AyyapAU6O5qfx-Ymr6G2rRoq38PzCA,2201
netket/utils/_dependencies_check.py,sha256=fcoMB8OGN6vjMJEp6mmbQLT8gjeSxc15QuGx5R_udpw,3162
netket/utils/_serialization.py,sha256=qtoGkqtCW5-W5nY9Ws3BpFilLZokvjnHt_0qp9bZDUY,1312
netket/utils/_tips.py,sha256=FtiKmLaogkj4gF-4H7G6DVOgxMlH6Dm8j9gu5O8s5B0,5274
netket/utils/api_utils.py,sha256=VT0xLndYCYCutA1ibmiQJdeL6uC9FrmZ089lYdgDQxA,4461
netket/utils/array.py,sha256=pPFismby_Qf23mV-NzbJCtbNCz3Qv7R76Qx8zhvwtPk,3781
netket/utils/config_flags.py,sha256=Akhjn5jpqhp0A5Vw_ojLf8r63p5-gBFXGolSF9G8ijU,14069
netket/utils/deprecation.py,sha256=LzzryqjhVFuM9Ou-kNgF2H70we76-aUEGMeJDIgYiL8,3151
netket/utils/dispatch.py,sha256=PCtP_fr8KdQbsxJqb35KnGQMfKCQZSI-LDjgHwxDKo8,677
netket/utils/float.py,sha256=sGrIGRIVZ7FlonCOfggTCLz06neKLDnrjeHkAWhHZJk,4189
netket/utils/holomorphic.py,sha256=SytLgFhAs3QX1bLiITBnhfgxBqcYVwjHqmwldochALk,5659
netket/utils/iterators.py,sha256=VcOKdC0i15ftV-hSKhGR-LZl1zJoPfa_txGu0DWFqdY,1045
netket/utils/jax.py,sha256=k8KxP_-iJZ48jt0OxScV6zPIZJViS-sfNukKUe-jvQI,3278
netket/utils/moduletools.py,sha256=Mp8Qp-OXM50Sj2-2U2n-sG7AVfUELicFRnYsiWt2XvY,4060
netket/utils/numbers.py,sha256=ed59zOiFIP_XSMFHofvgLBZVLrs9318Quy96L6TqZPE,1769
netket/utils/optional_deps.py,sha256=1uvb8jwYKl9vfQZF6-fJphrvFNbcprURxK-KbBXs6m8,1272
netket/utils/partial.py,sha256=1mMb6Z-1zbSM7C24dAVVpJyruUqkbFTrFb7hm3i0ZLg,2823
netket/utils/seed.py,sha256=eIC87hly7ZEtrWA48LL5_E7qLtFjvlk4mhu2qdxKSoI,750
netket/utils/static_number.py,sha256=DegUPVQJbfnOgP51MEyP7dF9lrVZP3fT76tBw7jUSBM,2133
netket/utils/static_range.py,sha256=F2HQY3P6bE4fhGEdLjn2OxR-r6mUNlxej-LYWJA6VBM,8037
netket/utils/summation.py,sha256=9CHXDVLPvn8luCLroCEJzbO8K-4iLdNhu5HfT_TMdIo,1920
netket/utils/timing.py,sha256=0InrIYQe8VFgtqY_Z1Ueo9tdtrrEGAvdR8opUWTGIDA,10237
netket/utils/tree_walk.py,sha256=Ce_4YVYgadkm-_0MJPAuFp24dPtu0rRcYkw8skEWQVQ,4740
netket/utils/types.py,sha256=GohLbhPU6tN1QYElm4zJl8_JPMCxoo2uuaN9AthI8ow,2606
netket/utils/version_check.py,sha256=rID8MtxO8cI9N712MT8aSUeyHknTR0lgRXzR_YHpN-g,1224
netket/utils/citations/__init__.py,sha256=eWn7GoJzc6IuJRTXNvG52fVSlUEp8V9FA28bdxfAJiU,1037
netket/utils/citations/cli.py,sha256=UvS1Kp5cY7wsnvaQPUuAnxxpBskOYr9Izb0fVS60MoU,1645
netket/utils/citations/core.py,sha256=426W1x1Dm5nbx-Uz2SkMGA7IZk8QXW0ImDlC_S7Ityk,13869
netket/utils/citations/docs.py,sha256=hIjKhQAm5ndFnnllIN2tDpQLYZ5Du2p02uky5adGjVs,7880
netket/utils/citations/internal_citations.bib,sha256=f8GMhulSHD0G15Vo_9pU7w4rKA3yEaOMDs9MTc0ncoc,4377
netket/utils/display/__init__.py,sha256=xHzDsqPQ3G2ACwxMFwfMbjPpJz3aL18Tq_CKyOmJZKc,653
netket/utils/display/repr.py,sha256=GgX1s2cpuF--olbgbH8l7KA6utM9uXEAMf7bYIKUywo,1715
netket/utils/group/__init__.py,sha256=JJWNdTh1wMGWgngbjmt-CiN-IvfJ4JqEgnIM8JuzFhk,974
netket/utils/group/_group.py,sha256=hZ_WzksUcY1Qz214Oq_CvtzdLR-ql5D8IHF8TaBdU4k,25339
netket/utils/group/_permutation_group.py,sha256=pPhgzmF4jZQcK729FKYQEGjxM-yJtxGeO5kU8JAX950,14120
netket/utils/group/_point_group.py,sha256=QulkWz7pOuiuBQEkpJGkmTvg81OfEIVI3ryH64RH69k,22395
netket/utils/group/_semigroup.py,sha256=ZX2OEArhcE56L72WsCR3CTrtQHVPbioORXeRj0VvrsY,4847
netket/utils/group/axial.py,sha256=xLG0Y154cdW48Yx3XqIAOh6tsYWevij9syyEtAduQjQ,11290
netket/utils/group/cubic.py,sha256=vPt_mCkugjHQxTqfXQHZQP6b3crfr-fOQsu2Wwik9so,3620
netket/utils/group/icosa.py,sha256=M10bdlo5Kd4k4rbVrs9Hm5v40ciXa5rpNt-Zq6Tc7J0,1802
netket/utils/group/planar.py,sha256=3zzOJEtt3Apkuvfs5n7Rmd8qiDqKXngUb0nG9TmvCGU,4615
netket/utils/history/__init__.py,sha256=TSrkSQaUx_EobIAqP6DhaouegT2y7aCvzszViqt2tWw,219
netket/utils/history/accum.py,sha256=yDsxTJNnqBFqrn56U4h3VDUstc-R_M4CqgZkSaVlYL8,6486
netket/utils/history/history.py,sha256=fhgt0CsX0jPEQxEUnc59tsHMaywNQoS59ktle9ucRYM,15480
netket/utils/history/history_dict.py,sha256=VnWqxGjAsspyVPUd1LYDsRirbRWFR5fjrxWUY9FHqjc,9691
netket/utils/model_frameworks/__init__.py,sha256=ydog1TMt2Cmatl5BRHUwzha94iIjD91sGOKzdcqSO6M,1486
netket/utils/model_frameworks/base.py,sha256=jUyORZuQvAxsT8Sz18hp_BxxO7uoHyVI8YrYwbNTIN8,4252
netket/utils/model_frameworks/equinox.py,sha256=8Nfn96KjHmlC4ShXJYMQeD7aTqgfHFiZkr1ZkIOtkqk,3990
netket/utils/model_frameworks/flax.py,sha256=Ix2O4mV_GZUTDEeWCqx7Y9h1O5I7Tq2AVonqjIc3rqU,1233
netket/utils/model_frameworks/flax_bound.py,sha256=ym76KqdYK_tksqIoqhqGjH58tUwfdAMW1_v8I9wEVww,1567
netket/utils/model_frameworks/haiku.py,sha256=zBSICVbeLTN59tneoSokTbzHVDEdrM3wG474JZu58_I,3022
netket/utils/model_frameworks/jax.py,sha256=tg2HlX8xs6uLEc03Vonv4QpYlIS5PhZHoTByUs5mGio,2467
netket/utils/model_frameworks/nnx.py,sha256=zhtt40PdM6vUXvsC4YGFZKfYroXvwjLgaPbYLMzhUpg,4556
netket/utils/model_frameworks/nnx_wrapped.py,sha256=AXrSMVpy3Xk4v0bUl0wA1DbbPQg24aFvJVuOa3DK7bA,1188
netket/utils/mpi/__init__.py,sha256=KMIDzaqv4mxKeJ9sdHXpMzLd3PrK5PKNxW9F2iQVpzM,3382
netket/utils/mpi/mpi.py,sha256=NJZlP1wVEUYWz_r9kyadNBU9fsYqlMp00OzCU81hrBE,893
netket/utils/mpi/primitives.py,sha256=IHa4wFnEjwG59vEzJVskfzEwCb3e3N-XKeMgmic1Q0o,8885
netket/utils/struct/__init__.py,sha256=aNAxA236tiU1GqyXXjrtBf0DRQAYepWJLqUMKinSpZk,925
netket/utils/struct/dataclass.py,sha256=aR71-q4PHH3VI5Jpah_84cgA5D0BzyqVfLSVWCLWmdE,22826
netket/utils/struct/fields.py,sha256=EBzFQZwVyHNUD1I24ucyj3pNLBpioT2EdtlFKyo2kGQ,5551
netket/utils/struct/pytree.py,sha256=5_5WyJ8PD3MvFy2uBypeYHjB3mAe-_RgwyQ03-7qnSc,25912
netket/utils/struct/pytree_serialization_sharding.py,sha256=PpvIxk_ea7Bob0kf8oporg2ZYBq0xG4aOjLdP7K3OUk,9631
netket/utils/struct/utils.py,sha256=wFSBDKuGI-TpMJR1exRzgiZvTlXqvcBCY3k6BVH8lbc,3730
netket/vqs/__init__.py,sha256=IPcUjpo1VatZdyERwzd6xsLXB8tCafF1kL9rjjwhHs0,1266
netket/vqs/base.py,sha256=W5XOdEubYiIlAftjjkcWPG1i5yYgtzg7Osq1CElWDbI,17096
netket/vqs/full_summ/__init__.py,sha256=VrRrbS0bKJCQgo7g0ZoSy6WFXwMLCaAmH0-6MRaxVaQ,696
netket/vqs/full_summ/expect.py,sha256=84EkNWoMMqTqBXw8rM_HBeC1JGHambaEBDn9wuRWtO8,4479
netket/vqs/full_summ/state.py,sha256=dXl97SRgbJjUOyE0okogRuzwYVnKxPB3MO6o36HoWTc,15045
netket/vqs/mc/__init__.py,sha256=vrmmdiQXBB7MEOy2LBMRbpIFxd8J3unifEN_e5kysWA,1351
netket/vqs/mc/common.py,sha256=2vF2F-_49yZMg1SA63FA9_-uuPVYqoeLpppTWzxPWaw,4142
netket/vqs/mc/kernels.py,sha256=WqpMr1MtUvmUSwVxblrPUc-5v9eQm6MfHXYEHtETMZ0,6738
netket/vqs/mc/mc_mixed_state/__init__.py,sha256=BwG5baKXVd5alb75eJnl_al4SUL6AhwBbdVniEKskyw,715
netket/vqs/mc/mc_mixed_state/expect.py,sha256=kYOTMjEQSPWqqWarYyb9APOTTuouHwK18__EbzPAbxY,2546
netket/vqs/mc/mc_mixed_state/expect_chunked.py,sha256=eLa52uMecAU5JBExiju1eSB_FldiOuCQbbSd2oo41NA,1589
netket/vqs/mc/mc_mixed_state/expect_grad.py,sha256=KOLfAw-0LiO25aKKXml1F3bLtQv9Xf7NuPbHAkTGC9U,1982
netket/vqs/mc/mc_mixed_state/state.py,sha256=fRaDN6lBO6RF8GBeV-qNo6n9VzUFX-B0qgDGtM_pkeE,11235
netket/vqs/mc/mc_state/__init__.py,sha256=UHRcxOCgKlFADv8v5zFzOWFr5XJNyM0nQCeo1_NTeqc,840
netket/vqs/mc/mc_state/expect.py,sha256=WLuSfBzWqxLeW_DaNZ1Iuj_Z5T0XTyGszDP24AGnCzo,3979
netket/vqs/mc/mc_state/expect_chunked.py,sha256=tRfHtsVTBq-DwrYW_pQzRe3fJT59tUNpMUaSuoRP4ho,2954
netket/vqs/mc/mc_state/expect_forces.py,sha256=JG3q1tzSog9cUALlfJYoyuB51Fpu5878F459LTHXSLs,2963
netket/vqs/mc/mc_state/expect_forces_chunked.py,sha256=XcG2UvyqNkGy1lMoau2yzscLqhuz7qeTP8VkiGIXg3o,4173
netket/vqs/mc/mc_state/expect_grad.py,sha256=l_m5y4OQx1aRuklXg8fNQNbPOlHBS3OsHAweBJm51Fw,5260
netket/vqs/mc/mc_state/expect_grad_chunked.py,sha256=H1NmakACgDKfTArO0tftVdG6dn3UdYAs_RSEL1HFiAQ,2322
netket/vqs/mc/mc_state/local_estimators.py,sha256=FJaoeHy21euOT29uTCiHw5VPCZd0Vl8Eg_LnalJ-BW4,2813
netket/vqs/mc/mc_state/state.py,sha256=K2qKj81ifMnIqTEOSPMrm5Y_maYOn2C8CNuBH8y_TWY,39529
netket-3.22.0.dist-info/METADATA,sha256=bbKV_ZnLzxJri9bPXQEJ_E49-PEIT5Ekumsh2jcYeIQ,5980
netket-3.22.0.dist-info/WHEEL,sha256=mffPy8wBnZQn2VnJUU5jE99KsxaSfiyMHV9Yt0aLVxs,87
netket-3.22.0.dist-info/entry_points.txt,sha256=mGOesl2TwrfDnkQVvYYb1jvA5TTzGPGchbCFPFpqHao,104
netket-3.22.0.dist-info/licenses/LICENSE,sha256=psuoW8kuDP96RQsdhzwOqi6fyWv0ct8CR6Jr7He_P_k,10173
netket-3.22.0.dist-info/RECORD,,
