 jens
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c879ff583b
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updated notebooks
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2026-01-06 20:21:01 +01:00 |
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jens
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186fd423b9
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updated notebooks
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2026-01-06 20:20:43 +01:00 |
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jens
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7d3ab02e26
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fixed dividing l2-norm by length of vector
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2026-01-06 18:17:45 +01:00 |
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jens
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542b8ae9b0
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added L2-Regulation
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2026-01-06 18:00:26 +01:00 |
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jens
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ff6254a15d
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- Status has entity paarmeter
- train provides entity parameter to Status
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2026-01-06 11:29:47 +01:00 |
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jens
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42520e5761
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improved tests
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2026-01-06 09:44:45 +01:00 |
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jens
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ec5d259ff7
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Entity: added property enable training
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2026-01-06 09:44:29 +01:00 |
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jens
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b1fe7229fa
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updated cifar_test
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2026-01-05 21:46:33 +01:00 |
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jens
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b6a3779bf9
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updated cifar_test and mnist_test
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2026-01-05 21:39:22 +01:00 |
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jens
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74138b5514
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train: swapped epochs and mini-batch loop
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2026-01-05 20:53:31 +01:00 |
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jens
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562e9e9bda
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added mnist_test
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2026-01-05 19:42:01 +01:00 |
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jens
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ae6ab9b9b5
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updated cifar_test
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2026-01-05 19:41:43 +01:00 |
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jens
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d238d2954e
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grad_compute(): pre-multiply weight decay with learning rate
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2026-01-05 19:40:05 +01:00 |
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jens
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10999ec731
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updated notebook
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2026-01-05 18:08:22 +01:00 |
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jens
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2fd55ee69c
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updated notebook
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2026-01-05 14:49:03 +01:00 |
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jens
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fdf4186d6b
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significantly improved GB-RBM training
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2026-01-05 14:16:34 +01:00 |
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jens
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9f72c1f253
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- added cifar_test as jupiter lab
- started torch version of RBM
- enable CUDA in matrix
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2026-01-04 18:30:01 +01:00 |
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jens
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73d4486fb7
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test_norbs: added mode hidden gaussian - hidden binary
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2026-01-04 16:06:41 +01:00 |
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jens
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6546c37657
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train: fixed gaussian sampling
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2026-01-03 19:30:47 +01:00 |
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jens
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e6c959d890
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- fixed test_xor
- added test_linear
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2026-01-03 13:07:08 +01:00 |
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jens
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e56f99535a
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improved tests
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2026-01-03 12:51:43 +01:00 |
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jens
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529252166a
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train: sample gaussian visible units
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2026-01-03 12:40:08 +01:00 |
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jens
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63bfd3ed80
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updated
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2026-01-03 12:11:04 +01:00 |
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jens
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f828c26f36
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refactored
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2026-01-03 12:10:53 +01:00 |
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jens
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94595ddd8a
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train: added cd_binary_gaussian
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2026-01-03 12:10:17 +01:00 |
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jens
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fa9f595be6
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use gray color map
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2026-01-02 22:50:03 +01:00 |
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jens
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082bb3c566
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Label: added OneHote encoding
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2026-01-02 22:49:00 +01:00 |
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jens
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2e714685d1
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model: forward() is not abstract method
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2026-01-02 19:42:22 +01:00 |
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jens
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c87b8f8ed0
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fixed
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2026-01-02 19:41:26 +01:00 |
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jens
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48f3642e44
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fixed TrainingParams
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2026-01-02 18:36:17 +01:00 |
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jens
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c7f820ec63
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- adapted test to TrainingParameter as parat of Entity
- learn_norbs_labes start working
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2026-01-02 14:53:45 +01:00 |
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jens
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10691894d1
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- training params are (again) attrubute of Entity
- ditched layout concept
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2026-01-02 14:51:19 +01:00 |
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jens
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8b97350564
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cd_binary_binary: added gibbs sampling
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2026-01-01 20:02:22 +01:00 |
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jens
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e67207504b
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fixed cd_binary_binary
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2026-01-01 15:55:35 +01:00 |
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jens
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dc998d30a2
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- initroduced types: BB-RBM GB-RBM, GG-RBM as property of entity
- training simplification and for clarity: added specialized cd_funcs for each entity type
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2026-01-01 12:05:39 +01:00 |
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jens
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38b834c640
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- added training params as list for model.train()
- added gaussian sample
- introduced layout concept
- updated README
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2025-12-31 16:13:59 +01:00 |
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jens
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9b41dd6c02
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added LabelLearner
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2025-12-22 11:14:44 +01:00 |
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jens
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35e045a701
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added label
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2025-12-22 10:02:36 +01:00 |
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jens
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781870b971
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add label encoder/decoder (not finished)
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2025-12-21 20:20:24 +01:00 |
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jens
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362970574f
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refactored
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2025-12-21 19:34:23 +01:00 |
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jens
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ff05c729e8
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- refactored read_armadillo into matrix
- added test_norbs
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2025-12-21 18:16:48 +01:00 |
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jens
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e11f775aff
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Test model: removed unecessary import
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2025-12-21 17:46:04 +01:00 |
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jens
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b29937c149
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Test model: improved output log
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2025-12-21 17:45:10 +01:00 |
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jens
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4bd5cffd6b
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- state load/save revised
- num gibbs samples is also part of entity
- working 3-layer deep test model
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2025-12-21 17:34:11 +01:00 |
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jens
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22d189cf2f
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added model
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2025-12-21 16:39:53 +01:00 |
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jens
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7668c73ea4
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refactored
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2025-12-21 10:33:04 +01:00 |
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jens
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8ed6488b45
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refactored train
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2025-12-21 10:16:08 +01:00 |
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jens
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7f4505c1f8
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Raise exception if doSampleBatch == True
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2025-12-20 20:21:42 +01:00 |
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jens
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61c762150c
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- removed Optimizer
- refactored training
- use static seed for random (for better comparison)
- simplified StackDeep.train
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2025-12-20 20:12:19 +01:00 |
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jens
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5f5c7c6d77
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Optimizer.train() shall ignore param.do_batch_sample
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2025-12-19 17:29:32 +01:00 |
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