 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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jens
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d3c9fe4681
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- numGibbs no longer part of EntityParameter
- refactored forward and reconstruct
- conditionally use optimizer for training
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2025-12-19 17:15:10 +01:00 |
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jens
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a47922cb1c
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refactored
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2025-12-19 15:20:04 +01:00 |
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jens
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a293fc31a0
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added layertest notebook
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2025-12-19 12:25:17 +01:00 |
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jens
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a9e67da43a
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refactored
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2025-12-19 11:55:29 +01:00 |
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jens
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13a7cff094
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layer: refactored xor() into test_xor.py
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2025-12-19 11:39:55 +01:00 |
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jens
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ed8274cc8b
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updated gitignore
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2025-12-19 11:11:00 +01:00 |
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jens
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cadbb34d1a
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fixed imports
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2025-12-19 11:10:16 +01:00 |
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jens
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a60f802443
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refactored
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2025-12-18 21:32:01 +01:00 |
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jens
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b206ab5788
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Entity: refactored taining algo into train module
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2025-12-18 21:23:16 +01:00 |
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jens
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6664ebdb9b
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added shape to entity
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2025-12-18 19:47:27 +01:00 |
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jens
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c1c6c610ad
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- wrap numpy and cupy in matrix as np
- added type alias Mat for np.ndarray
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2025-12-18 18:14:03 +01:00 |
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jens
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9000e70607
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- fixed training_remain
- added total rms error after training
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2025-12-18 16:46:33 +01:00 |
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jens
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3936a5be27
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fixed progress indication
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2025-12-18 16:36:47 +01:00 |
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jens
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1b51861daf
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fixed contamination of function parameter
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2025-12-18 16:06:27 +01:00 |
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jens
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3b68b9ad79
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- fixed v_to_ph parameter consideration
- matrix: use different random implementations
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2025-12-18 15:49:18 +01:00 |
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jens
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855c392970
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- changed status interval
- show number of remaining epochs at beginning of training
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2025-12-18 12:49:17 +01:00 |
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jens
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f6bccd3737
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fixed deep stack status update
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2025-12-18 12:31:32 +01:00 |
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jens
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5cbef6b09f
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refactored
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2025-12-18 12:24:17 +01:00 |
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jens
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470d2bfa9a
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rbm: use update interval of 1%
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2025-12-18 11:43:34 +01:00 |
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jens
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905ae8da81
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- layer: only calculate rms_error_accu() if status report is necessary
- Status: added wants_report
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2025-12-18 11:39:45 +01:00 |
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jens
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28fee91ec7
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fixed layer construction
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2025-12-18 10:06:35 +01:00 |
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jens
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29839c082e
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added matplotlib
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2025-12-18 07:56:45 +01:00 |
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jens
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eb975da018
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refactored
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2025-12-18 07:56:08 +01:00 |
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jens
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c06fc7f485
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use argparser for project selection
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2025-12-17 20:12:32 +01:00 |
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jens
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b7f9bf66b0
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use dot product for weights
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2025-12-17 20:05:36 +01:00 |
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jens
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6c02e3c229
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- use training data if test data not found
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2025-12-17 19:33:14 +01:00 |
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jens
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b4cd05d803
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- fixed max index
- call status once inside epoch loop
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2025-12-17 19:29:46 +01:00 |
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