flax/__init__.py,sha256=rdMmFz7H-NUM54KBz4vTh0Eb8IccznXWiit1J2BLHeA,1135
flax/configurations.py,sha256=ujrTueyd4ZDZ27M-KZ2zczVHc6sHzZxKN_URMMsZb_Y,5990
flax/cursor.py,sha256=7HtyMIHYXSW6LR3F8vo1RXuV8DNPHqCdNdJ12fLVvlI,26399
flax/errors.py,sha256=lyaMvDL3FfhvmaZ2wmQZC2HlQxgDysSYI-yrP_NR8zE,30850
flax/ids.py,sha256=sbaPq1x8I1hGtZH4VVBufB9mKjfjvhUmwlOks4pN_O4,1752
flax/io.py,sha256=GYViY0BRwzN2i0T6TQ65eJQ8Br7Ye81udlruJXtkJ2Q,5309
flax/jax_utils.py,sha256=FTtXCqYKRoxGTAeLLIYMGn0JFNAph6_LiTl5_cLpL0c,11534
flax/py.typed,sha256=Tax5VCwEb0DFaIMIb4fcDTU0qMhkF1jfe-0zVWwzftE,58
flax/serialization.py,sha256=LBi2n4uCXHpUQ9HJsiIjnlHu_Ae8y1S1QldiwuOtymM,14315
flax/struct.py,sha256=W1dUVyzmlzX6OJxq618crbCe6eXcs2caFQlDnr0i4Bw,8275
flax/traceback_util.py,sha256=VSBwID-DMPnPfXlESEkNlqZIVj009mF0kkdlvho8qXE,1990
flax/traverse_util.py,sha256=UGSxF9PK8Io2NXyJsrFy8ahYLsxXyfHeKVLMWQi02eI,13746
flax/typing.py,sha256=1GH3Q2da2UbROBTpvTuQjr97nyWPz431fN_rdBucY5k,2858
flax/version.py,sha256=-MHHmyat3q0D9ZkfPMf3Uln9e9EslFxNXd4scszbbak,650
flax/core/__init__.py,sha256=9gthSYfQPBSZvkUNAF6Rl6TzkUJqrEMcL1h4HqPQPWA,1467
flax/core/axes_scan.py,sha256=g0tIO9dF5FpDdkDyByOt8n5lqlyWjHJYWUee-JB-jUg,5763
flax/core/frozen_dict.py,sha256=PvlvO9xTJGG_1s8KxCFuwsxTPC31-D3W1Sf_YrPyGco,9974
flax/core/lift.py,sha256=YtAC0cBGLq7RJc98qz7sgYhHiRgwMCxn0Fea4AK-e14,61850
flax/core/meta.py,sha256=PhRKK1ikGeVRdnfK0r-A8KxdyLe1VAbSOCCOKzdz-5k,11725
flax/core/partial_eval.py,sha256=hj_llMsUSSqH1eF6bUdnhWsWFpLlApOPj6Y9d7VbnOg,2546
flax/core/scope.py,sha256=qA9ZG4lDu6yzAWF9ug3oIoRp4CBZ-BisFWy_BWWSX-M,38092
flax/core/tracers.py,sha256=wzi47_1VH5SbozYVfnvtUfntbrOe2JDlKEjBM0wOwkg,1054
flax/core/variables.py,sha256=KAkQwMGEY-fASlJPHcGpk7vA-8B7VBMlasAus-QfA74,1558
flax/core/nn/__init__.py,sha256=2YpgoLw5eP4npw6MOhgUdfMI4nrGIKfC-fsnDNuULJY,1795
flax/core/nn/attention.py,sha256=jlaJ0m42bjslMZQRK_0l2yYV8x1bY23pQGoxLqUziwg,17932
flax/core/nn/linear.py,sha256=iuOteK4JoyDCQ94O3oeC0Uo8yyxJ84IRurHRU7h-_z4,12040
flax/core/nn/normalization.py,sha256=z8LEGKyWitdq73S_j1WlTa7P5uNJSGL-Qm_eulrqDfk,6897
flax/core/nn/stochastic.py,sha256=svzeqhl0XBLKP2t7Ewgc739xuItFBZvnk7oGjlZSpfo,1488
flax/experimental/__init__.py,sha256=hkK7vneGSpZel3JlyAuXLe-tggix1dk6NsSYwhQXOdE,582
flax/experimental/nnx.py,sha256=YMLSuRAPHEJLdILaiU8_k7rgZ8KKadeYHmoWCq8ux3I,731
flax/linen/__init__.py,sha256=KaXdquHoURWfE6hyWBXv1C9KwcCpajQjQ9z7Wq2nZAI,5259
flax/linen/activation.py,sha256=LeFjjROwX7GLlyfdA-iBaRNY_qp1PKhGnir4ggxAVV0,4101
flax/linen/attention.py,sha256=0NYNR8Zf2zCG6wMRqAyW2PMI_HwEPVlNhPy3Iv0aHmA,32773
flax/linen/batch_apply.py,sha256=7B_bwfI2vJyt2UPMtOcjEo6puLFavcJeLrF-COoAntc,4172
flax/linen/combinators.py,sha256=WW-GSBw19Wwv0Mpg_VOdYqSmH7-8loAqDkj5DJ1xcNA,3846
flax/linen/dtypes.py,sha256=hyXSAKgx6iK15cXrojy4f_DHzSq160Jdv_1Mg7vqoaM,3860
flax/linen/fp8_ops.py,sha256=8tLtuc4jmoZNCOKrZua31WxuCPUv4551dFZea-l1BHQ,10134
flax/linen/initializers.py,sha256=CC4lY4uvAGisaxiiIAE2AHVPuN9q8EqQ2e9OZBDPi1o,2676
flax/linen/kw_only_dataclasses.py,sha256=U4-mGzgAhz902A1SL29J8Hdr33smxl8NUB9BwOz-4GU,8828
flax/linen/linear.py,sha256=9QH7NdSn-1ybEYae-MCWAAkWKEmF8ENjagP9B0cc5cg,44206
flax/linen/module.py,sha256=TqMd-sVwm6XTHnUVmebOWofaUowLcwmi87HYB7xlDlk,113805
flax/linen/normalization.py,sha256=3RCElnm6A_DwcvOuTt7LQW2BtTcAn5bPrY8gxXPdeBQ,49760
flax/linen/partitioning.py,sha256=60TRq8NzoeN8992cjTbGIqQxwmEyEAqXHrgol8ncACo,19421
flax/linen/pooling.py,sha256=HNrjOv_ul5QEz27nXg69iSIzfRa42c2cbZh-q8Dciog,5567
flax/linen/recurrent.py,sha256=bAVP5PuEW7iUfXg8F7Up9Eyg468F7iNZioES8SPeH0A,45995
flax/linen/spmd.py,sha256=fK1osXmJOXmbk2I5brz1P9-dNEbQUeNoH2ELJ5xD7lA,11370
flax/linen/stochastic.py,sha256=GKhyMB4yG5j_Yq-yfgz-0LwpusjY7UDIVa1trOqoKnI,3634
flax/linen/summary.py,sha256=Z-0lonFNquOhdwDHNPo2z1HJ6l3H7BRDc_8A4pqcoiA,26100
flax/linen/transforms.py,sha256=trJHDXwHyjftClJyd-HdD6vG1oY6golQowG6xbi5KGM,79325
flax/linen/experimental/layers_with_named_axes.py,sha256=xv-vBWVgIB2lfHF4KrryM66jQkgjYgeC9qo2Ansg7K4,11235
flax/metrics/__init__.py,sha256=cmhQJ6zmLk9z5CZDNSdSASLx8PDpq1BW41BEvMVk0jg,1163
flax/metrics/tensorboard.py,sha256=HUDQYfdhZXTCCxQJMpr9aUzrqexGZasEGvzu9ccy-ug,7792
flax/nnx/__init__.py,sha256=vAt06P5XDNAVY6uRaxQZh95UeEfxznMbemdsO5udhO0,6696
flax/nnx/examples/gemma/helpers.py,sha256=meNL3VRRLXW_qTuKqpXU__QgnKaFkPF329uI2HkTDPk,3257
flax/nnx/examples/gemma/helpers_test.py,sha256=nrqPtrtZsSUaj6tKG85OBGTERriWXObOwDqFG3YDFtU,5124
flax/nnx/examples/gemma/layers.py,sha256=SNaDK9Z68YlXK1ZcoZxgDTetryl0pKeA_K1x2VqfLio,2663
flax/nnx/examples/gemma/layers_test.py,sha256=CAHYMG5ZL2V9ivUKxM4qrvzNbgVvT7lkKyRr4s1gDf4,2733
flax/nnx/examples/gemma/modules.py,sha256=P2oT7s_9GEmXYhGlI1NTR1FhmI7NMm1NKnztVLqYM28,10100
flax/nnx/examples/gemma/modules_test.py,sha256=zhohqVZhngW14Bfsift_zugiNnsnMUMNvDI_dxKUfJY,11253
flax/nnx/examples/gemma/positional_embeddings.py,sha256=J8lRFxZ6O_XHagsfhNwSHmvjcyxAM7coWOVkdUZ61rA,3101
flax/nnx/examples/gemma/positional_embeddings_test.py,sha256=X8zU4oC4S4erGYGIBDTCMvEZSemf9KTm4zcpk18iTQQ,3070
flax/nnx/examples/lm1b/input_pipeline.py,sha256=-dqS1rhL0LPXHWNdV7_kOdDjF4yUzBYfOpKtlleOMjk,12344
flax/nnx/examples/lm1b/input_pipeline_test.py,sha256=BsGcIyfUzA1xUp5i77B4noCqAp86A0K7_hDr4OUoWHo,3293
flax/nnx/examples/lm1b/main.py,sha256=k28k3dKrQQVeQHYoJ8Yi-XyiJDNGz9r10uDTUaCq3Es,2143
flax/nnx/examples/lm1b/models.py,sha256=9gx9Y_s3Mxhky0tvXxN8BD1pqGCTuIutW2NonGSELKo,15006
flax/nnx/examples/lm1b/models_test.py,sha256=l6dM7VumF1m6_HlsdVzyrNqNVSW5g9lX7NUMxcmYyfA,9789
flax/nnx/examples/lm1b/temperature_sampler.py,sha256=tyoiOf4dwoLqkau4tOp7hilU2ocmafSDPYhFeo7oFX4,4799
flax/nnx/examples/lm1b/temperature_sampler_test.py,sha256=ATe15vuNrU51PlJVdablJ60Xn4hkOptUtrCgye5PaR0,1448
flax/nnx/examples/lm1b/tokenizer.py,sha256=JoQD9UhDe_ff7UnoAfrbvbL4Z-FDj1ZFRgwr3_x5_r4,5263
flax/nnx/examples/lm1b/train.py,sha256=76FvHlIHT-FX-4TEbz1P064kZae_G6ue74PQw4RqrnQ,20510
flax/nnx/examples/lm1b/train_test.py,sha256=Ob8Cj6GM3KRTbX4A9hCErb0oXIsKrSXwjaMa1WWTrWg,2152
flax/nnx/examples/lm1b/utils.py,sha256=ADLPzyDxeVlGT1WGjqFx9JHQqZlaJ1ULfjnqlP1GpX0,4983
flax/nnx/examples/lm1b/configs/default.py,sha256=rp8zsTa4a4WK_29M57cletqNk6eDsT6xYmCuML24zJ0,5096
flax/nnx/examples/toy_examples/01_functional_api.py,sha256=1O-9gg3CkoGr2EJEweJJ4I2RNCQhwb0QM_r3_UhBxnY,2855
flax/nnx/examples/toy_examples/02_lifted_transforms.py,sha256=jiTA-n5NbZ1nYOBRhXDU0FJiu-vT9rCIKzLnzYEKPNQ,2581
flax/nnx/examples/toy_examples/05_vae.py,sha256=EAVnq2BlgoIzmu8oYnp9kbBlT8KCGTtctQR2SGV1PWw,5195
flax/nnx/examples/toy_examples/06_scan_over_layers.py,sha256=13COmispQ_eOgetMZ5-Gr6FlfDX4n0nnhOkEggciSXk,1852
flax/nnx/examples/toy_examples/08_save_load_checkpoints.py,sha256=_HMle3KjqrJj0waSoq7X4Hs4jK4A4pN-YgrhU_htP40,1933
flax/nnx/examples/toy_examples/09_parameter_surgery.py,sha256=7f3H6oIqPi79vWqvwTbFCHTone3tKKBIjJWt9a7tcGw,1956
flax/nnx/nnx/__init__.py,sha256=cmhQJ6zmLk9z5CZDNSdSASLx8PDpq1BW41BEvMVk0jg,1163
flax/nnx/nnx/errors.py,sha256=5FCT85_hNWEiikufgReDuwN_uC_4HxZj-VMHS7mIcOY,626
flax/nnx/nnx/filterlib.py,sha256=EJsbJfMNu3BKfuABajofD8hID1prTxJgVDFMYPxoYWM,3065
flax/nnx/nnx/graph.py,sha256=HqqNl6NwN03WPUNqIoNWRklgCUValjRf2U-UABrg2K8,51560
flax/nnx/nnx/helpers.py,sha256=YZX1RrxJ9moDePVvXV47i5fIT7InA9FtrevCHX5QFkk,6526
flax/nnx/nnx/ids.py,sha256=vuURWDY8w7XWiRpUz3njkiVEciJZY87mrcmSTc07mjY,2326
flax/nnx/nnx/module.py,sha256=eEpNn43_a9ufT1MzLKrDYdhGNX5rzzyg7r_TL8Dcxvg,16533
flax/nnx/nnx/object.py,sha256=grRaE-sarIQS_wggJpu49jfx7mRHRXmRAh_Ry452X9s,6415
flax/nnx/nnx/proxy_caller.py,sha256=W6eGwGD0uEtY1N0A1DrbcgX1o_BRj-L_bhaTZvRXj_E,2951
flax/nnx/nnx/reprlib.py,sha256=V6g6PecKngBkpRJgRUXeO9deuYDc2rORJhjan7A3jK0,3178
flax/nnx/nnx/rnglib.py,sha256=KkZAxCEg1JUmDi0RtGA1pc06_ftsytaecHv5a8GKEXc,9245
flax/nnx/nnx/spmd.py,sha256=DGCQbMD4ybGpQufuQ03YX4ScE_KGl0YUL2JORMjJbBc,6347
flax/nnx/nnx/state.py,sha256=RM2VhpdPsQ7H8tbRnstgK9t1DuaiBxg_HLKKxj2MazQ,12018
flax/nnx/nnx/tracers.py,sha256=p1AsOcJSE5zsLNDId5wNytiUtgtZFY6qjThjhumkGAw,2076
flax/nnx/nnx/traversals.py,sha256=g4h5GMx67Fgu_WHdUWtORj5BOQx6n12K9mDKdbelQZc,5063
flax/nnx/nnx/variables.py,sha256=IFlqxin6Q03VmWKXBX4A4-F19HbbT2TyPSErUihyjyY,27599
flax/nnx/nnx/visualization.py,sha256=3pkZ1kM6RMk9NKT6gRZhfjCHDfYjpFWXlpw1pmsECrw,1301
flax/nnx/nnx/compat/__init__.py,sha256=8Y27tkEnbXbqtL_lzh1hBzOTd4ph95ruMFOFhpv3ad4,931
flax/nnx/nnx/compat/module.py,sha256=RLyyNswVuBZM8UFWfmPS_hTA10YRNVgoo1PEDCaO_Q8,6160
flax/nnx/nnx/compat/wrappers.py,sha256=l7NGHleAAJyiSnXYrMHuU2aYpP7YNG3u3QCzPDBfH44,3120
flax/nnx/nnx/nn/__init__.py,sha256=cmhQJ6zmLk9z5CZDNSdSASLx8PDpq1BW41BEvMVk0jg,1163
flax/nnx/nnx/nn/activations.py,sha256=Ub94GPKCDh4S4ejqP3r8y3Znh9To78APHCs5AUB-K8g,1219
flax/nnx/nnx/nn/attention.py,sha256=S6N2wPEa0y-SnMEdwCEbxHvpQnBXPoFWT8I1UGX1XcY,24672
flax/nnx/nnx/nn/dtypes.py,sha256=vlekm3uEmgW94Cog0lm9Q8fJaqRVSJOvajsCSLGqPn0,3324
flax/nnx/nnx/nn/initializers.py,sha256=0bfgv2mMU6iROZwzoyHOJbYpCm4--mjp700rJ5er1dU,2570
flax/nnx/nnx/nn/linear.py,sha256=BQJsBUihxTrgmVOOVeqsS2sskXQEmI-VKceDYFlG31I,41374
flax/nnx/nnx/nn/lora.py,sha256=El3aI5CNncGfhINEdmVbXz8sU42-d-LxbiDzuaYs9oc,5979
flax/nnx/nnx/nn/normalization.py,sha256=zEcccFTSrmCwKg1Dayshq5BjIXZvDyq92axemHnPqTA,21224
flax/nnx/nnx/nn/stochastic.py,sha256=To0sRvG4dxTTI7toLEdgGZtXkPPPWAtkhfXkQnDzzHM,4795
flax/nnx/nnx/training/__init__.py,sha256=hkK7vneGSpZel3JlyAuXLe-tggix1dk6NsSYwhQXOdE,582
flax/nnx/nnx/training/metrics.py,sha256=08ZHUp2bQku1FCTPEW7AWro2O3BpsK2ANrvcEEPlkAE,13733
flax/nnx/nnx/training/optimizer.py,sha256=Nog_qkHHGKnx86YAUm58pzCogWxhuJeXldy9fsAoPbA,7203
flax/nnx/nnx/transforms/__init__.py,sha256=hkK7vneGSpZel3JlyAuXLe-tggix1dk6NsSYwhQXOdE,582
flax/nnx/nnx/transforms/looping.py,sha256=vZDUGcY-j1TiWYpq2UFSyzZJRXlq__F4CdEmdzFJIGc,17254
flax/nnx/nnx/transforms/parallelization.py,sha256=flAaG9zuJmLpvey_y7sVS9-np_qFgRCq3TistSCmbwo,24198
flax/nnx/nnx/transforms/transforms.py,sha256=CGc0vWAmRbGeASTex78DilVxQFJmMbUKtoXfWv-j63M,32214
flax/nnx/tests/__init__.py,sha256=cmhQJ6zmLk9z5CZDNSdSASLx8PDpq1BW41BEvMVk0jg,1163
flax/nnx/tests/containers_test.py,sha256=UAmG1SZDHZ4VFB7DPr0EC0BCOp4AcM4NqfHpf9UOoo8,1723
flax/nnx/tests/filters_test.py,sha256=1Rk2CPBf6LAP1c0puFFXtfLqwJSi5VnlnxoG70FzKvQ,1049
flax/nnx/tests/graph_utils_test.py,sha256=_5zSZB9DQAj7v19MkgCx2vtnYF-4poL9LuAej2z8aKM,11539
flax/nnx/tests/helpers_test.py,sha256=J37MSeRS4kXieNqwpElxtRwePlUpGREkM7BvuDsAt7Y,3164
flax/nnx/tests/ids_test.py,sha256=RHmAsrQ1GqiTrlJNhMtTaPVE9Yx2fU37E81ynOZL668,997
flax/nnx/tests/integration_test.py,sha256=DQF4pV3Z-eyEDir-Zcge9eSpi_wR4bIPy2GjNNFy5dI,7549
flax/nnx/tests/metrics_test.py,sha256=zU9eeA0IriP-UrbbQrxpwZV8sQ0qUbMgusv5qp6Z6cc,4288
flax/nnx/tests/module_test.py,sha256=1264IL3IcT6Bcr9wpnQnavnl3DeVQLnfuXHz1-ahtVQ,17087
flax/nnx/tests/optimizer_test.py,sha256=wMh-tMFlfKEsFPtLnkzRq4WGGoz7upTOfg-SqjH2L48,5635
flax/nnx/tests/partitioning_test.py,sha256=6uDwA44I57qt7bEVJ8hW2oN7oIT0QbpvmVebCqOgtPc,4255
flax/nnx/tests/rngs_test.py,sha256=0M11Cag3w8O9Sa8xCzzUlZ_DgYo_v3iR2fR1sN5wEFI,7229
flax/nnx/tests/spmd_test.py,sha256=5hg4Qbyc-meRePgYI_dCTC07KfW_NdXt3CHF0wAbiP0,2947
flax/nnx/tests/state_test.py,sha256=hDl-eRe2ghb8Hy3DCdszxgkCwLuTp2r2Wwcg6tFNoGs,2478
flax/nnx/tests/test_traversals.py,sha256=c1BiE6Y3jNLxQqrT-zlX8bF5wfibv0yypKenpt1Yc2E,2762
flax/nnx/tests/transforms_test.py,sha256=8VlAuQMJAEV9nusmxa6vuU-1eZemaN58GB0KB9FZpNU,36032
flax/nnx/tests/variable_test.py,sha256=8kgwglleHrtz0Cp5BXXT5B5ykGkimM4sQI7x075YMNs,1949
flax/nnx/tests/compat/module_test.py,sha256=k5OnmIlTD_mKF71cOVPccP26KhqWUcZEXHbssjYSn6A,3396
flax/nnx/tests/compat/wrappers_test.py,sha256=NjVLWMHPVizIPJF9ePSuLmzXqfE5OzLAbNQ4Cz_DZz0,1185
flax/nnx/tests/nn/attention_test.py,sha256=AJkS5vOGDAN807Jw4sPztDvd2eKByPl4plIUi6qOqro,5002
flax/nnx/tests/nn/conv_test.py,sha256=v787_JtcCQBxmL0MCh0gT0bwds5z02khysrNiTpqOs4,5086
flax/nnx/tests/nn/embed_test.py,sha256=flJBHR3cqE3GwUxam0ag1UkQk0-sJcJNlMuQnXeZBUU,2240
flax/nnx/tests/nn/linear_test.py,sha256=LyU4lyIzulZ09sLWkuBXjFcg4RT1JqUoflrYNTnw_hY,4445
flax/nnx/tests/nn/lora_test.py,sha256=cylLYD6_-UiefZmVufeE-kAZR3dpQSCHfw8ALQ9Roq4,4230
flax/nnx/tests/nn/normalization_test.py,sha256=3E8pxTWHwyR3IfSLVnZfUatQLjjA6vqAr7yL5GmO2Z4,7612
flax/nnx/tests/nn/stochastic_test.py,sha256=ZXDyZnmLuE5oMVO6FsDMh91Ch_kIl4l3bb_8u8Y4YzU,2596
flax/testing/__init__.py,sha256=UarXpjywrTaGYJBYPf0joEzJawWavRs_f58YZJowfh0,647
flax/testing/benchmark.py,sha256=dumZs_E0VmGqiEQHwe8eOzxgv5bjWtXj5NKqrnsmF7E,9320
flax/training/__init__.py,sha256=uJTipyYX83XazXl5bkf17EF4DjJE5s1YhCA3vS0vXqo,613
flax/training/checkpoints.py,sha256=ClSNZDqAzeoJWT4T5gi0Mop0HCNW4yM9EL68acs0SwI,43835
flax/training/common_utils.py,sha256=_3-gAQuFBC6ITUiu9dgGMZu0PS6SLlzd59UlnwfHAJg,3690
flax/training/dynamic_scale.py,sha256=YD1Aby3DqDlfi_KKkdVuW4gBi_rz0K2-3xIj1D5VHXs,6056
flax/training/early_stopping.py,sha256=uy20C4GxzYI7GV0re-vYH-Itj9f_u0pf6M2uZPe8IgA,3194
flax/training/lr_schedule.py,sha256=SYCWUEgl_iZyOZpIFaP2wzIgniamzu6I1MDS1R4Hlsg,7419
flax/training/orbax_utils.py,sha256=HL_6WozkC-5cEUQFy-yxnH22PlV5m_v8pfbSOxO51Xs,3685
flax/training/prefetch_iterator.py,sha256=KnhVdWbGC--2YTaxKeuGJTfH2TrvtjQWP3mk3s6KHZQ,2978
flax/training/train_state.py,sha256=F5IwUzh15IlZMa56EAa5uK_lehoBj2Ima5haQs9S-6w,4767
flax-0.8.5.dist-info/AUTHORS,sha256=xAt9eymRM6GSWVKw3mzCuF2jJRPeNqSwWMFJshxt-aE,293
flax-0.8.5.dist-info/LICENSE,sha256=Jeh5HaJvfnTEuvGer9fRN7ZKRpUu-EDtAcFytoDPQEY,11309
flax-0.8.5.dist-info/METADATA,sha256=05Y2OY9MNTkgMo7cSN-ucfC56jNYb4gH8v84_oQTa8E,10431
flax-0.8.5.dist-info/WHEEL,sha256=GJ7t_kWBFywbagK5eo9IoUwLW6oyOeTKmQ-9iHFVNxQ,92
flax-0.8.5.dist-info/top_level.txt,sha256=r_wO1qpXX1_wNUJ0BDDhQQ9F-2yi8Igav-p2VTwO_tM,5
flax-0.8.5.dist-info/RECORD,,
