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Alberto NogalesAlberto Nogales
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tests: expand suite from 51 to 170 tests covering new features
New test classes: - TestMapInit: invalid topology/device assertions, ids_matrix shape and values, default attribute checks - TestMapTopology: hex grid construction (even/odd row offsets, y-spacing, 6 equidistant neighbours), hex training, classification, chebyshev+hex, save/load topology persistence - TestMapDevice: cpu/gpu device param, numpy output guarantee, deterministic results, invalid device assertion - TestMapReinforce: weights change, shape/finiteness, LR compression accumulation, zero-round no-op - TestMapDecay: use_decay=True training, hex+decay, finiteness - TestMapNormalization: added unit-norm check for euclidean, 0-1 range for 01scale, zero-mean/unit-std for fwn - TestMapStaticMethods: lr-at-end, batch vector_distance - TestMapTrain: num_data/dimension stored, numpy guarantee, finiteness, train-without-data-in-constructor - TestMapWeightsInit: sample init tested via __init_weights directly (post-training weights have moved; previous test was incorrect) - TestMapSaveLoad: hex topology persisted, loaded map can classify - TestMapDistance: chebyshev training, batch chebyshev<=euclidean - TestAccelerator: CUPY_AVAILABLE/NUMBA_AVAILABLE flags, get_array_module, to_device cpu dtype, to_numpy, device_info content - TestNumbaKernels (skip if numba absent): bmu_distances shape/values vs numpy reference, euclidean/chebyshev grid distances, weight_update shape/in-place/outside-neighbourhood/decay - TestGPUDevice (skip if no CuPy): gpu weights numpy, shape, finiteness, bmu bounds, classification, save/load, hex, decay, chebyshev, get_array_module with cupy, to_device/to_numpy round-trip - TestClassification: bmu coords in bounds, dist column non-negative, error map shapes, hex map classification - TestIterativeSOM: calculate_range output, min<=max, min>=2, small data, maps dict keys/types/shapes, try_best selects lowest score, scores populated, give_best alias, default auto-range, map_kwargs forwarding, best map can classify
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