Test/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
Test/common.py,sha256=tD-r5BJHkMoxq-uigsy8z9p1dQVe0vxNWYNaiwB8gb8,1538
Test/conftest.py,sha256=z9MIpLVI5cGXTu_8sUA___a1RzRg3KZdHUix3dngDmc,1206
Test/Graph/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
Test/Graph/test_graph.py,sha256=weBrTkOxIFLqcDdKwByKWDttZuGH3Cdy7ZdXUygmszU,12254
Test/GroundState/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
Test/GroundState/test_vmc.py,sha256=w92LU7BpPc6SreSGtUSmrArDuL1zf4Y6l8LPAEAqecI,6798
Test/Hilbert/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
Test/Hilbert/test_hilbert.py,sha256=cbSNUWXeWoLqswppTPqBEnGGlgV36sVuOroXRXNzwNU,6328
Test/Legacy/__init__.py,sha256=0GeG06Ze65clLdN8oN5bJMXuH4cszDTFSMQtV717Z38,91
Test/Legacy/Stats/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
Test/Legacy/Stats/test_legacy_stats.py,sha256=GXmKzgdQJPFOae0v6o2xu-3gR9CR_k5stOiQ3iaUFgo,4647
Test/Logging/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
Test/Logging/test_state_log.py,sha256=auuRtybOORypSEw8R1qdx_jXNhPwSROfYhXK2pFnaN4,2690
Test/MPI/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
Test/MPI/test_mpi_setup.py,sha256=qpviWIJLgMoHANhXbZTbtWWgDViYvGSyDLJays8oDKI,350
Test/MPI/test_mpi_utils.py,sha256=KXN4D7JYYKte6hcCBonuNIe1kFQvOX9e0QdJshOA5cE,1052
Test/MPI/test_stats_ops.py,sha256=7Pc-x6XE7gGEH4N3SCcDYQ2uWytvL4o8ZKzHGAPNzW8,5175
Test/Models/__init__.py,sha256=n5VN98f2ISps3dwxn9WWPxyEj005jfYbuRntnuM7Jmk,54
Test/Models/test_jastrow.py,sha256=6CVHj0mPHK-EigZQxFaSQo-CEAw9XaNSMDAGhGKhrbE,1086
Test/Models/test_mps.py,sha256=fIFalJ9TQ_EnBxun7e7aphQiIcGlhRbrvp_6x1g7r1M,815
Test/Models/test_nn.py,sha256=s_wPHSbV7xhynOPAfcDXZrSM44N0LZfakJuH78YS_6Y,4133
Test/Models/test_rbm.py,sha256=EzFXCmvkzRG8i0G-v-xqJUNvg4aT4rG0RVspaINT05Q,5657
Test/Operator/__init__.py,sha256=n5VN98f2ISps3dwxn9WWPxyEj005jfYbuRntnuM7Jmk,54
Test/Operator/test_liouvillian.py,sha256=t5uq_atvTwhQgdjMGKuFPyfTRdKs9XYEaWXvc3gL9jo,3487
Test/Operator/test_local_operator.py,sha256=ygFXL6OUBwkO-QFIwOBGKTJT6MLOJQbjS2M-B6lvhi8,10363
Test/Operator/test_operator.py,sha256=eCo2v2qjNknycvRhXo-8SPKOAkjYuYkaZ35d02m8EmQ,6415
Test/Operator/test_spin.py,sha256=9urQOXB9yuaHhxIhMm76s-et5ofuCOoZEKjHQrbGwLs,1248
Test/Optimizer/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
Test/Optimizer/test_sr_itersolve.py,sha256=TkEMV_17BkNXt4wbSg_YjU37D3qKNqMz6cuLZUszfkQ,2905
Test/Optimizer/test_sr_logic.py,sha256=ajyP98BgA5m5j9F6aL2_GwziHWlRoga3-klTK8N6-D0,11289
Test/Sampler/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
Test/Sampler/conftest.py,sha256=zADfA-ZB5Wzp8d6IAVabJgWJR2glw9m-rCL_Omaf6iQ,371
Test/Sampler/test_sampler.py,sha256=MWIUr7fwSlDfYGDaDzFk3D-DYzwii1uoFuEat2dq5qA,8722
Test/Stats/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
Test/Stats/test_stats.py,sha256=2aa37i6_yw3DhWomfMPIJ9YG5ZHh2S1WqeDgkYaAmJ8,5336
Test/Utils/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
Test/Utils/test_history.py,sha256=zCo-p-bjVu1Is6IcJxB_ARiLx-lnkRJUnl-Q5ZRh-54,1844
Test/Utils/test_utils.py,sha256=wXWPkymLNjilbHXqULOBBYxeAbCkPumSaNSAQAFjGT8,1586
Test/Variational/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
Test/Variational/test_experimental.py,sha256=g1-xS033o7bmJzsb4w2OTvgEqkjcRy82TyKdU459zu0,2491
Test/Variational/test_variational.py,sha256=G1lICa1GgC18MpxmA4AYYsVHs3vTMFfl13DH_mtTiqw,7858
Test/Variational/test_variational_mixed.py,sha256=xy7zTodlvV-RUGLC4OwAckCVWTMeLlS7dGbFBhP52gU,4670
netket/__init__.py,sha256=2ySTAhfdXos6dCK7q4Vclsp_nrkKGEeWi2N8VA2VnFg,1484
netket/_exact_dynamics.py,sha256=fp6VAEjw0NkFeA6ghEMVLd5iIQmYbjIvvFnXDaIys84,9460
netket/_version.py,sha256=ilI6SF-8XduMS12TgZMckyYsujmuvj-JGpfUnGjkVBc,158
netket/exact.py,sha256=ufLm6Rtrt0WEWA3u3fp1PBCSfytpKE62foQ_WMF_tyY,8088
netket/callbacks/__init__.py,sha256=5PikNLEF8DSrnv6a-cl9IhfunvpPNwdbf0Y9IFKQY60,752
netket/callbacks/earlystopping.py,sha256=d5UPpDQI8UD9bYfhQDJVKMCDjDjutZo5BAOW4kUxoR8,2353
netket/callbacks/timeout.py,sha256=e2RV9CQU4IEdSn7JmpRiZ3CQKZIwOW4uKT03D1siglg,2058
netket/driver/__init__.py,sha256=9JLUJOIT5Rxcgqa4cYgJF57tVvuuSwvlB1bFyXY1ny8,802
netket/driver/abstract_variational_driver.py,sha256=NDW47l9mtSUJRrc014kFGm4zRXiLy-YFYEnRcGIVRY0,11047
netket/driver/steady_state.py,sha256=T8JPiWUUv_lMnPDZonwQdGkQdB7YpQxvUUvkGNAek3s,4212
netket/driver/vmc.py,sha256=VfzpUdaTrKk2rS0pn8lX25B9hHrsXkT4hVIu868T8EQ,5214
netket/driver/vmc_common.py,sha256=X8ayX9fiK7v7lmxMuofKm7zoo618RwVOGNdGvUXDl_c,727
netket/graph/__init__.py,sha256=7FL4n4b2Y0Be0FJGOhWp2xnFYVal10Xz_0wjyKbFRwA,904
netket/graph/abstract_graph.py,sha256=UEEhk5juBaJOYyFcFMNF-oxk487Gflq0O9xkyXgsVAM,2279
netket/graph/graph.py,sha256=7zxxMl9ZrDuAQyrh4P-jNNpP_JqyQni-T48LEehDp_M,8045
netket/graph/grid.py,sha256=j316Q5NN7mDDi0Q7TgnuPXDXtJU1kShdIRnUH7jRRok,13236
netket/graph/lattice.py,sha256=CpLa4dhJtjQtRejmzYjWzMjb3iJ8Lpdj12kSCTiGaws,12688
netket/graph/symmetry.py,sha256=xGbOz8sC8aWZ2A8MPVrYnoBfB1w4smAnf83L4viVd5U,5609
netket/hilbert/__init__.py,sha256=u5JcYFEyjavIgwkcb0ij3EZpJ1Cv8Abaz41cNStctMQ,970
netket/hilbert/_deprecations.py,sha256=1ZDBA-JRMHAwh6FpC31GahbF1yDPX8B2Jh2XVZtAIGg,1505
netket/hilbert/abstract_hilbert.py,sha256=Cqb9VHdTTKSixQLKeQ4ZtgJKMlXErer6EOpFEHYlywE,10087
netket/hilbert/custom_hilbert.py,sha256=NO4iF7sXkemSPd0JmlbxvZmFgWOCISIdq56CUBUQNr8,7883
netket/hilbert/doubled_hilbert.py,sha256=WAAtVNAMf_ozo23IHP_mQlBNRWyL5JHz3Q8lnSKNejw,4471
netket/hilbert/fock.py,sha256=rPKR-IdFSzWUOxG6U7hpskYZiHNjHCZ4vEhccV5uffw,6800
netket/hilbert/hilbert_index.py,sha256=1sd4R755e5Fep-Ethh9xsqv9YIXmMpAui7nmdXJ2YNU,3568
netket/hilbert/homogeneous.py,sha256=wmfBox-WHElDtTpEyw1IeQGyTz4IhHEz1BwfG1pdrgI,7764
netket/hilbert/qubit.py,sha256=FWsb2PkBxcM-QWSVxnK2dRlDUlAckx5LCKBhV7U0Xks,2394
netket/hilbert/spin.py,sha256=reibZpxDqGmsa4IuJdET4w0NHrA1LzTk5hTP9_fpM0s,6138
netket/hilbert/tensor_hilbert.py,sha256=TdZeStfrNJPzvT3dRkgjliSd2PPsyYbNN_tU2HFY8gA,7062
netket/hilbert/random/__init__.py,sha256=CauaTrj5ojoGb78YqZEb-HjH6Ku6OUvmon-Nay1qEpA,3054
netket/hilbert/random/base.py,sha256=t4B8uieWz9iuVoFqTMMWtyTgWnKV4UnKOi9oiH9c_Cc,8433
netket/hilbert/random/custom.py,sha256=lzSQDmesOnJzoKbyW_aB7s69c3V9Z-Li_kA3CN9eQqs,2443
netket/hilbert/random/doubled.py,sha256=2HVyNg4fjILFfuSbdoVxaA8kvrP8L54Qd5WiifXv-T8,1927
netket/hilbert/random/fock.py,sha256=4QKTC30I76eNOkNKnDq75TvxVnzn8pRxG1vRAVN8wrU,2440
netket/hilbert/random/qubit.py,sha256=jOAYR_9RFpTkR7cVlH7tSf2FMrCHUTrXjIORCwKZisY,1197
netket/hilbert/random/spin.py,sha256=sBqfWIghXCnYRJaU2HZPQUUHWQAqHTbPJ-lCpINwI-4,3916
netket/hilbert/random/tensor_hilbert.py,sha256=N0N7OaX7avIekMSqfHn7rA3ZSSGyRi9b1ppF-RREIZ4,2393
netket/jax/__init__.py,sha256=Bk3tkmij5-RDPdoOhm2c4tpUDUWYSkSubeW-7Z2S7vg,1176
netket/jax/_expect.py,sha256=PBwaAYh1hH_g6F7Jjj3lBo6e-CAbgKKQOjHLItvRBD0,3287
netket/jax/_grad.py,sha256=O_9einm-NbPNwP7BM1RAQMTJjfwJAb34xOK0xy9G4h8,8709
netket/jax/_vjp.py,sha256=v3hmPhgrhyhrLTFrbEy2fx7vyIqmTWUG0qWngfF2A3k,5319
netket/jax/numba4jax.py,sha256=n2_Y7HQDJmRWZFWcNATyvw7-47rsyofb7Ic83M6eJ_U,12656
netket/jax/utils.py,sha256=jnqN3McdtYmCUm-_4kt7Efmj_felwrY-R3KRLHFL034,10350
netket/legacy/__init__.py,sha256=LzXC7igwr9-9ObJS1VHsEmwBfwFJrZ-0z9vlqWRn74A,585
netket/legacy/_qsr.py,sha256=gQxzVyuJdh-LwYEqyO26LHB_Pgv6tT3s2cSq1gFPeIA,11384
netket/legacy/_steadystate.py,sha256=4l_qSzZbkrrVuQvs7-Tq_Z_-64gLUnxW_IBMRbRZNYk,10724
netket/legacy/_vmc.py,sha256=M59Jr0PtQq0ErX9ckaGRJLyRS6cxVlE_4ZyKTqUPPRQ,8018
netket/legacy/abstract_variational_driver.py,sha256=Q2VztR8z1hgwlGKuDE66c-GiczOZrhycNOaW-w1WPnI,9388
netket/legacy/random.py,sha256=hh24lTnOu64_ARlFiF7QCB5fx2O1NMI8a24vjhwwhxw,2903
netket/legacy/variational.py,sha256=p17lXYNYsMo2VSBritpmIo87kUXGkcKgHJcl3UDDvaU,2250
netket/legacy/vmc_common.py,sha256=_VLryqaOsQ4kTSX-IvA_Xsc6Vnc_u4zjnVgcgrEiukA,4570
netket/legacy/logging/__init__.py,sha256=WugqiuFCUOVvE9u_gopf-3FCs9Ngf4qx9UB0wWsFc5s,142
netket/legacy/logging/_json_log.py,sha256=RPmxAFk-dPcPvl5_wFsvquxi7BqCr0qdustQbNTagBg,3894
netket/legacy/logging/_tensorboard.py,sha256=2goBs3MSRUMShKJLhvahkd-oIiKB79bzPKelKSHHrvM,4539
netket/legacy/machine/__init__.py,sha256=bBk0QqlYBbj5k2yIApX6mOMuxV9c63eOZ-5oIiBg1uY,449
netket/legacy/machine/_jax_utils.py,sha256=xyDZTmppMbtx46F0jVNhZvvDjVQdkuOxOvvAhOW2Bgw,5871
netket/legacy/machine/abstract_machine.py,sha256=SZxHPd4GxjgEowy7Ssd8uv0PnY7OW2l_jcgwkJXVOZQ,7910
netket/legacy/machine/flax.py,sha256=J0KVqUnZlBv3Kb__WABcUb3LSMUIulXio0Je-_y9h94,2186
netket/legacy/machine/jastrow.py,sha256=IkfXVlR01zspiKBFUZOCnDMHqSJJ8EjZ8HoWe9OYuKk,8525
netket/legacy/machine/jax.py,sha256=iYmVud2mEM6DMfAVUCUb1ZSYd3bZCg9kfdDj1SxkxiQ,17773
netket/legacy/machine/rbm.py,sha256=ppCM0mVdCIYmOVbSPjHxBn5K5DqSWetpoxjNI50kWQM,27720
netket/legacy/machine/torch.py,sha256=7x38m501TF5CTlEiwQcmmrN4yP9H3Z19Q60WFEKlfNo,7327
netket/legacy/machine/density_matrix/__init__.py,sha256=BKzYdaFwHsG7HTyGlhxzz-LFX6AyMqbDmz7_RQGC2B0,236
netket/legacy/machine/density_matrix/abstract_density_matrix.py,sha256=9i7-qGoFOq1fwjNI9D2sFGvJAAY_njiwqTIOVuDowNM,5328
netket/legacy/machine/density_matrix/diagonal.py,sha256=lRoEApI-rQu6MzUWO0fCuUveolR9jdNYD2vI4ZkUS-A,1286
netket/legacy/machine/density_matrix/flax.py,sha256=xhcjRANlGL0osaEfmtj0Kx6zcaB7cqDrho6NDAgEa5k,2354
netket/legacy/machine/density_matrix/jax.py,sha256=UQuwDMJ4Lj6YCh5CsY6PMyneIYxgyaYxCHIx0Q2_tqI,12116
netket/legacy/machine/density_matrix/rbm.py,sha256=MiFiCIHOwRL7mmV-V3X3AtOF-4us2MSXLTfWikQACPw,3100
netket/legacy/optimizer/__init__.py,sha256=nCQIjnnkB1J8JKo0c9RGykqmLBI0yppTGZbmvVFIVCE,497
netket/legacy/optimizer/abstract_optimizer.py,sha256=lHiormj0DYjf5_ybkPombzR4z2UwXLhzkisd-vDkIVo,837
netket/legacy/optimizer/ada_delta.py,sha256=qRQqGSgilZUKai0HLk--oKGEx6JP3gTsea1D7ikr1B8,1396
netket/legacy/optimizer/ada_grad.py,sha256=VOY-g5cLNUeSCLWsZeOD912bo8UShcgrH0peYQE-nWc,1402
netket/legacy/optimizer/ada_max.py,sha256=cgOFVs_0AHJ4a51YKFQ3lFC10PeRhH-yrKKFmGv7peg,1464
netket/legacy/optimizer/ams_grad.py,sha256=lrx6sedQix6ZqPJ9zNx6Jpr8pw6HGJ1ZuX_FeAstEHM,1755
netket/legacy/optimizer/momentum.py,sha256=-bMLdxFCeauB4Mo-UnheYVUhC8EZWacIZsHQIyd-hKM,1241
netket/legacy/optimizer/rms_prop.py,sha256=1u05tFO9QA0Df1WrK_4bIXvZ3x6PXn90htJlcX0VwgE,1200
netket/legacy/optimizer/sgd.py,sha256=0iEnU7KLEioNVW3MThxyOuuFdw9XnauGZgBCPtvU8y0,1379
netket/legacy/optimizer/stochastic_reconfiguration.py,sha256=7rf6Tu9gvYph8s6NSzQT21RPagjr9eRp4KZ0zVkUa2Q,409
netket/legacy/optimizer/torch.py,sha256=rjjMzHgChO9Ty_h8cgUgAC7Pl_jd21z74C-H_swtf6I,1870
netket/legacy/optimizer/jax/__init__.py,sha256=7_JhN4wWyRvFpvkB3GRX_L-cfgB1Mc71sP_8MHZyAWI,1807
netket/legacy/optimizer/jax/_sr_onthefly.py,sha256=wqm3W6tIMZZ0YOdElu88IZxaqU6bgcNb5OnSKRpc7lA,5846
netket/legacy/optimizer/jax/stochastic_reconfiguration.py,sha256=DITSMmfQe6Ddd5vYMhEvEq30thdXr-yDMMVjKkfoDRg,9659
netket/legacy/optimizer/jax/wrap.py,sha256=ZW0_vSrY34r1pSaGd07HuXLSipaQgjx29Z1r2MA-CD8,1689
netket/legacy/optimizer/numpy/__init__.py,sha256=QYOPVVuMm6YnrOvIkHF-AoVBSuiqU6EwHa5pQ-Q_3dM,246
netket/legacy/optimizer/numpy/ada_delta.py,sha256=PiNifL23xjdDqvMnmqknhM8lWIyracr2NKl0f8kjU08,2636
netket/legacy/optimizer/numpy/ada_grad.py,sha256=GXnqIbCbu56EknVhhFgoA_IiIm1oDs0d8hkCPYaYhxc,2250
netket/legacy/optimizer/numpy/ada_max.py,sha256=9WM0UJi1kbSKMxsnTr3OTfkDIiuMZXQfzd18YE4Dqck,3013
netket/legacy/optimizer/numpy/ams_grad.py,sha256=l_SUViyg5CJxcwAVD5yYTZw8ToIcTxSs4W86PD4OgAE,3132
netket/legacy/optimizer/numpy/momentum.py,sha256=fo9TYgBrG3CMkbihF-SjF6SHMqlQB2mV8beFKUH8g7E,2341
netket/legacy/optimizer/numpy/rms_prop.py,sha256=LWl0jUuTP2iNbgAqhIrH_a1QI4tnb24W3G7dRp7P-YA,2230
netket/legacy/optimizer/numpy/sgd.py,sha256=2F1-yNN0hjfry5z99hOhc818P2-7LdxG0IywruscOEs,1168
netket/legacy/optimizer/numpy/stochastic_reconfiguration.py,sha256=dxIMD0U8idkV8egS8F1zAv4w99_6qK97pZElxlFjHhI,10509
netket/legacy/sampler/__init__.py,sha256=QQilTOcMLO4vTnm5dWseHMow9uT3YoHkOcmbqqqUpms,533
netket/legacy/sampler/_kernels.py,sha256=kA1Z0GN6NBQfi_l6hLoaLelZBLgyMxcato_vPn0h56U,631
netket/legacy/sampler/abstract_sampler.py,sha256=2p77XIPEfdH8qBd1cE1GpeaL9gzZH63j2qRg--4jFug,1337
netket/legacy/sampler/custom_sampler.py,sha256=eeBEQiQbgHXMfK-MZze46xHyx7mt4TYJUyoidLkdKnA,4125
netket/legacy/sampler/exact_sampler.py,sha256=163tvRtCRilVmHjkHZElIsY1ZlmOQTwzrn9644-dGos,2510
netket/legacy/sampler/metropolis_exchange.py,sha256=z1vPsXtXIitFnx67g6eMp5UqqkAPROsyE6Dx6A4QQ0I,5925
netket/legacy/sampler/metropolis_hamiltonian.py,sha256=FxQC0c1_NvsTMz-rXu6gO1vO9xO4TZ1ekECOUTgjhn4,3605
netket/legacy/sampler/metropolis_hastings.py,sha256=nNFGLM3WjY32gTOYFGVpJP2gnXdEm-p_dVgvBLx9cGc,4143
netket/legacy/sampler/metropolis_local.py,sha256=Nhg_heZZcFwytn8vPEFj23BWiTpflc_WeywsjrPYZyk,3233
netket/legacy/sampler/jax/__init__.py,sha256=wlmne_9nyKJWIP0qObrwWG0jYo6jenmEvDsfnrfvMMI,1475
netket/legacy/sampler/jax/exchange_kernel.py,sha256=Lmia0p3XXmM0PixjdLnECR4IdDXcnS8778WXq8pDyuo,723
netket/legacy/sampler/jax/local_kernel.py,sha256=uA07vHcjtbmL98Ze4lBWdi7ILBefUOioG2AqapFeA3o,852
netket/legacy/sampler/jax/metropolis_hastings.py,sha256=NmQRBlT-rS6i6VesXvOiWKP_P8Q7HYUhcx2OPXsbOT0,4793
netket/legacy/sampler/numpy/__init__.py,sha256=KkIsNYmbRTqGgbpfplug1uB_Scf2LANnIipHwXRPOps,286
netket/legacy/sampler/numpy/custom_kernel.py,sha256=D8AhA0yzl7kyAJsvje9TsxP5ZN4Rwqn1YwSgu8i9gWE,3065
netket/legacy/sampler/numpy/exchange_kernel.py,sha256=9QtHwNl_8jGgtoIVbHNkGXk5w8-jvDHXm36sodXKmZY,1029
netket/legacy/sampler/numpy/hamiltonian_kernel.py,sha256=naTNllcpbtehzEKL011H5jpsMVUaXCC19MxOfv8Ur-I,1213
netket/legacy/sampler/numpy/local_kernel.py,sha256=bjG84fUCVe8ddsiaOBN98YfDNoFIdohcacGb_ZgLaUc,1093
netket/legacy/sampler/numpy/metropolis_hastings.py,sha256=JUFC4joOvRZekuYuTdzQgd8hSoow-3yEGIW-nuedeek,3785
netket/legacy/sampler/numpy/metropolis_hastings_pt.py,sha256=V8-eqJk6zijW8ytqyGHq6lY_n6bqNpeYx3Ymo2SkEuI,7410
netket/legacy/stats/__init__.py,sha256=ejCbl2Qt8njsMRcdlJkrTyEfFa-6ICozp1m2h7W5jiY,176
netket/legacy/stats/_sum_inplace.py,sha256=k4i_MW1qIt5gzmUoIqf_n3Lko4fAyTCgumoWCw7ApDY,3250
netket/legacy/stats/mc_stats.py,sha256=-w9yuHneddATsLMyavJEAr4URCogSKVKUCm_PVjYB4E,5313
netket/legacy/stats/mpi_stats.py,sha256=6Ll6HMdS5aolVg339e561TjLDMlJTbx_bem-vprNcBs,4100
netket/logging/__init__.py,sha256=s06GC2U6LdgwHo_ufHDdgMbO_af04ITd4sYyV44vWZw,928
netket/logging/json_log.py,sha256=KIUEjmSkFasQEubwZw8rh-fdMcFV5vF4Sg4b3Rn4SF0,8059
netket/logging/json_log_old.py,sha256=-nkf59mOtuH_10cwwvYuCGcL2tFQJZHFJE9gKBRqHkI,5220
netket/logging/runtime_log.py,sha256=yq1dLLZ8FBGyQ1MN9MZEtMw3sZ-j4H0eu7PrYi1dkSE,1609
netket/logging/state_log.py,sha256=WYS35DGDccrkW04GAh_qbsroSh5gu4CsKiP---H2egc,6272
netket/logging/tensorboard.py,sha256=1OvHaiJql8TWgnFH7ES6mL3V70T9Q68PK_DwaUrxzqk,5207
netket/models/__init__.py,sha256=s2yul7sB7h9XyHs4rSuAhWZFFQP5mvVRQUksCP6bDck,842
netket/models/equivariant.py,sha256=4-ADtDvZkFbeDnUYhIBloYPZeq4sgXwXJSj8otFyQ08,5508
netket/models/jastrow.py,sha256=vjiJUIamTFnadi89YqoAE7fiOh0Lq8sz4W__TJwTKWQ,1559
netket/models/mps.py,sha256=ZwcXIuTtcN58vltWESgL7bhDdyYZK_Z6ubZI2tOrTvw,6614
netket/models/ndm.py,sha256=C-6dOLoOB-uSgjLQDqvz2pI_iWV0GTDq_5SXa0eWbaU,7819
netket/models/rbm.py,sha256=p21qHzoGd8a1talRhTzObV5mbSrqtJbKDQvvNNbO058,9467
netket/nn/__init__.py,sha256=sVU6xyJcwme3ZwctYmJ68TMaPYGwoJ9eCQywh0CFmgo,2580
netket/nn/activation.py,sha256=DMDuHbbo-u2DzaofBNJV_qdFh5dPEOUIQ58vI6p8O_c,2272
netket/nn/initializers.py,sha256=rbA2d5fPuh7QDDNcH0KP7y5G1Ou_avqmh_5e-CBsK7w,804
netket/nn/linear.py,sha256=iB2rj0vQz25BdVLrLxCc1hc5c7yTyUCcolaHN9vs1_w,22491
netket/nn/module.py,sha256=bIPvncbYHHSmBbpSfDYTD6Enb1oK9x8NGrUK8_IFl1A,1407
netket/operator/__init__.py,sha256=Rm68pYdJVbOBpJojRusgVcG4KbDrQb4qLanYuFMHobA,1419
netket/operator/_abstract_operator.py,sha256=tbFk2w8vYPFcIhuWZDbB5Fx-UBWKV859DcYEVml0zUY,11825
netket/operator/_abstract_super_operator.py,sha256=uE9_8jcdzCVZdEfljX8XhO9RPCd_xGRWUAay3LnTxrw,1717
netket/operator/_der_local_values.py,sha256=p9PVDKCQbQKeloG1IgrYJ0oUO9Mmi9938lkorr5WzjM,6237
netket/operator/_der_local_values_jax.py,sha256=X1Lg8-6QtlQni1IaamZ1pltLFHpy9iVAA2fwVocs5Pc,6303
netket/operator/_graph_operator.py,sha256=PCsCamiGb53JAcwAiINQeOcLaI3828bzYhwsnCphmxE,5566
netket/operator/_hamiltonian.py,sha256=yKJiFHlbgaEjmxCC2zCnYQSC_HG_J2typXXXWqHaIqw,24552
netket/operator/_lazy.py,sha256=KTArcsdguPBKzXuxj7HEPWS_d89mTfTbKXKcUop63bQ,4960
netket/operator/_local_cost_functions.py,sha256=ytD0VmcpR2Efp6aulN2R9uv-8G_kKVSaPOAz4zMev1I,7824
netket/operator/_local_liouvillian.py,sha256=h5N_7oWmUy0t3hL-A0bZd3LGP3JGYaRSTefRyAlx5Xo,14966
netket/operator/_local_operator.py,sha256=rgcsyg4JMCclh7YUFkyGAl8NdivSNiFel5GHi0FK3DY,38069
netket/operator/_local_values.py,sha256=vf3VdtBf29f6mvipGS8PPNgC2A5tGlMDpq4Bo06E9UM,4112
netket/operator/_pauli_strings.py,sha256=ZujACrD9FJekWtyIXwmx2xrkOE92Id638ZDWbKnJEiM,9600
netket/operator/boson.py,sha256=N-LI-x_mCzWPc72kWcl4EPdJXFa81vyS9yxWtGvtgNw,3806
netket/operator/spin.py,sha256=wSmFUEdr2vuBhzVHMvOjLlH_msTUrbVo0GWSAk285mU,4412
netket/optimizer/__init__.py,sha256=Rhz59FkNcyFyfLGwzxJbpYnsmE2_PV-QSK3wCdAREJw,6247
netket/optimizer/sr/__init__.py,sha256=QFRNcnUVEoRc_QjmMHPlp63rX0EbUsjptANVSwafx_Y,757
netket/optimizer/sr/api.py,sha256=E5PKnG72UQkd5u7cS0rEhMah361s0FQsuJXidUhD-J0,2143
netket/optimizer/sr/base.py,sha256=ZJ-7YpBfbQWhxJgmzuf8vI5kaDs_ZfJWqoeINRyr5nY,1010
netket/optimizer/sr/sr_onthefly.py,sha256=1LkgG0esGJimcTkjbVttrZPLkKOYUD390CYLg0onabE,9112
netket/optimizer/sr/sr_onthefly_logic.py,sha256=w6gXE5kGuX4Nn2YKTYghJGlcgrr9X2lVrJDI7jm470I,6607
netket/optimizer/sr/sr_treemv_logic.py,sha256=u2TigwNnpr8i3gbIEPq3c8AC2KetmLgIovCFJFZ545M,4725
netket/sampler/__init__.py,sha256=-CHBGe7xQ8ZdQgXUU4pUz9WiZxlo7oUtEi53jQlNB_o,1564
netket/sampler/base.py,sha256=wQUoB0mr602b1-4B-0UbPF9taHwSKAM09L3MnVfZeHE,13976
netket/sampler/exact.py,sha256=8E__cChEt3snMvXbg9masMdhmTLkaQ2CajqIx_FjJok,3657
netket/sampler/metropolis.py,sha256=mfWtRuFDDPY7lVk8y7zANxgbaIcYmyXsZlcBe5t8f7w,20930
netket/sampler/metropolis_numpy.py,sha256=zFLEnVqpzxniLXwS40vcrh9esBePlDCl7FZqXQIeTJI,10672
netket/sampler/metropolis_pt.py,sha256=8o8ZiEJ2Dd4Y_Xi32ymSsD1LpoQ4kE-FbvqxiqzkpG8,24322
netket/sampler/rules/__init__.py,sha256=wltU3c-qoT7qS130YMiV_SwiGQKzCwpJdKLW4worWxY,932
netket/sampler/rules/custom_numpy.py,sha256=2ZJwZrcbeu8vutA2F8XNAea5UoZiSJQ5qz8FxP5ztkw,3820
netket/sampler/rules/exchange.py,sha256=SBiDYz_G0ffZrpsNlISX2OI3IR-rZhz63z1I5MQivzA,5484
netket/sampler/rules/hamiltonian.py,sha256=appe6LjovtLVkqSaEyvxnTNq_i9hQui2y2eb9NgpiSk,4406
netket/sampler/rules/hamiltonian_numpy.py,sha256=ee3GBrdYsNV0YNRFE55Gtr0bRoBuzrE1Q_fs1UhT8h0,3133
netket/sampler/rules/local.py,sha256=R5MkZEbaLGjCfizPKTcfzKEBiIZ0gM_A184l48yuZDc,1831
netket/sampler/rules/local_numpy.py,sha256=2HIOulSLM9iwwNn6RmGqeuKlNB5x1K4-O1HFLiWsLuU,1725
netket/stats/__init__.py,sha256=p9Cclh7-uJRincnX6EzdhudkKW2wZI4dzjz41zJix4E,821
netket/stats/_sum_inplace.py,sha256=CRhuqfrQM2UHvip6ZnlMWFu2z_dIQFpgQEOeX7N04Xo,1765
netket/stats/mc_stats.py,sha256=fWyok0EUWW9tSsRvkEMKyc16ip0K1bZhrMB2IfC-rmQ,7830
netket/stats/mpi_stats.py,sha256=BimWGlWdVKqKXI04561cJMGkhBBYaCumxIj2qpz6R34,4953
netket/tools/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
netket/tools/_common.py,sha256=qktKNubSYKggxIfHoQCyy7iTpPWaq-LVIV-vnHLzhaw,1107
netket/tools/_cpu_info.py,sha256=uUzFC2M7UvKWrpKfkg8VNB9HWDnZ5FakEVTX5g8HXgQ,3799
netket/tools/_mpi_info.py,sha256=OpI-nHgD49xzY2RmzGsPEKECyGaXR3PiW1_eBNXpq-c,876
netket/tools/check_mpi.py,sha256=2ekPpG50O7QE0xfoqdqClSPE-rGHIVQCaQ4EcPffhQ8,1837
netket/tools/info.py,sha256=RrU2vIcUG7gnjZtlRe-ZdT6kZ0H4mDBj7WObNWmW_j8,4973
netket/utils/__init__.py,sha256=Nuic8aW-y7JQEyRzOPD0FwVC0JZyMDi9Hn-bhwoQL44,1328
netket/utils/array.py,sha256=TAHxbd-1wIcHjBDoMGY7rCd5EiYSvQ8ydM63_VswlcI,1734
netket/utils/config_flags.py,sha256=XVK-_XjzkM7v-ueYfkxQDOkZ1t7ImIyleaFnAiOQb84,3373
netket/utils/deprecation.py,sha256=w9zQSWlaQTtDTW8-pjsQhDlrsAJdTRIlIJ4siZb7qwE,3055
netket/utils/flax.py,sha256=dBMOXLSrqZ8xbuchKtWq_9PMJhljiBKwtOzJW_OuSt4,1584
netket/utils/history.py,sha256=nrFxnNzXpAFGTkH6D9WPSzSYS2QObp4D-qu5MehSR6s,12397
netket/utils/jax.py,sha256=T0T4mYaxnESHOAmEVvL53zxEHDo1TfO4omzDrxuHR6w,912
netket/utils/moduletools.py,sha256=WyhvfdeSRzCLVi3IbBvPxBE94vJh2DrP8U4heEYXOiw,1709
netket/utils/numbers.py,sha256=KDhORVfviY8IE6Gq7Je8w6P3ubWWNjy6HKbPzbngJzg,426
netket/utils/optional_deps.py,sha256=muR62vJNfP7RNBoQkD6yL862mQBA1BW6Td6PhezjedQ,979
netket/utils/seed.py,sha256=04sGxkr-Hl-D8mcDgChQKwbfW9vzs0G8pJDRuIFyetA,850
netket/utils/semigroup.py,sha256=dMWD0IaYkBLw2kgiRPmLRiYaxUvFcqokiSudUj5V2vw,4614
netket/utils/types.py,sha256=0U1tWhSFW9QNRcEWBKirKdwPaZLWvouueMzY-KQ6Un8,1337
netket/utils/model_frameworks/__init__.py,sha256=ZEpZKh7Z04nots5xY_B16Xqn8y2mlbdjIUn_Qr5Kna4,1086
netket/utils/model_frameworks/base.py,sha256=zGLO8nhecIoVkV03Inh4D213d1Cm-LaGSAxX2VcaUFw,2518
netket/utils/model_frameworks/flax.py,sha256=bsXzYSUY04SOnjX_24GTwzYgCLh6RTHaqMn-95C5A4c,1336
netket/utils/model_frameworks/haiku.py,sha256=TB69Xla2IGoxE7GP6J8LXE8U2-hbIkfIxMQxoIWhYK4,3106
netket/utils/model_frameworks/jax.py,sha256=UC2DkHzHvv8WX4cv1su4OY6d0zmmAmFWqrKzQwn0vdE,2579
netket/utils/mpi/__init__.py,sha256=CZ-XzhZONjcqyRpD8yBs3usBYgq04nmFKgDwA-n7vvc,978
netket/utils/mpi/mpi.py,sha256=t0XsQVV6-5RJZKPKd5YHzyX05iS7pm9qYsXXv558DKc,3692
netket/utils/mpi/primitives.py,sha256=n8dJKQp4ylFM9MGSUdvX4vzEYfAGPRKgmALRrPYjJn0,6435
netket/variational/__init__.py,sha256=4Oi70sf5YOmtgulo3KaVZsPT6h7aWQIPsX-BNHLsl4U,858
netket/variational/base.py,sha256=zl9wwt0RP5ExGZojkQ_uJ3hrkW_dCgukswR_PEeHE-I,10559
netket/variational/experimental.py,sha256=G_3cIthKnO5bEGtzs_ZrY0sMPEGIb1NZeTL-qhb1z_8,2665
netket/variational/mc_mixed_state.py,sha256=V7e0gCof7zI0rCQpY7-HKCX22orTHqO7Sg8uv-eKtqI,10838
netket/variational/mc_state.py,sha256=AqVG_7l9EYSSq_ui_jT2mEISpzlfMewNVHvOFtA-VIw,26777
netket-3.0b1.post9.dist-info/LICENSE,sha256=psuoW8kuDP96RQsdhzwOqi6fyWv0ct8CR6Jr7He_P_k,10173
netket-3.0b1.post9.dist-info/METADATA,sha256=rjC8NdCOZqnx1A0K_txgyOFQbuolojLGOicno90mMnc,2263
netket-3.0b1.post9.dist-info/WHEEL,sha256=OqRkF0eY5GHssMorFjlbTIq072vpHpF60fIQA6lS9xA,92
netket-3.0b1.post9.dist-info/top_level.txt,sha256=LxaRYjDltcNu1OzDEVuo2YN9reVWm9hFK5fjVOuF_50,12
netket-3.0b1.post9.dist-info/RECORD,,
