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2025-04-16 12:09:59
    param_value = self.study.sampler.sample_independent(
2025-04-16 12:09:59
  File "/home/darinka/AutoIntent/.venv/lib/python3.10/site-packages/optuna/samplers/_tpe/sampler.py", line 425, in sample_independent
2025-04-16 12:09:59
    return self._sample(study, trial, {param_name: param_distribution})[param_name]
2025-04-16 12:09:59
  File "/home/darinka/AutoIntent/.venv/lib/python3.10/site-packages/optuna/samplers/_tpe/sampler.py", line 465, in _sample
2025-04-16 12:09:59
    samples_below = mpe_below.sample(self._rng.rng, self._n_ei_candidates)
2025-04-16 12:09:59
  File "/home/darinka/AutoIntent/.venv/lib/python3.10/site-packages/optuna/samplers/_tpe/parzen_estimator.py", line 79, in sample
2025-04-16 12:09:59
    sampled = self._mixture_distribution.sample(rng, size)
2025-04-16 12:09:59
  File "/home/darinka/AutoIntent/.venv/lib/python3.10/site-packages/optuna/samplers/_tpe/probability_distributions.py", line 42, in sample
2025-04-16 12:09:59
    active_indices = rng.choice(len(self.weights), p=self.weights, size=batch_size)
2025-04-16 12:09:59
  File "numpy/random/mtrand.pyx", line 1001, in numpy.random.mtrand.RandomState.choice
2025-04-16 12:09:59
  File "/home/darinka/AutoIntent/.venv/lib/python3.10/site-packages/numpy/_core/fromnumeric.py", line 3445, in prod
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    return _wrapreduction(a, np.multiply, 'prod', axis, dtype, out,
2025-04-16 12:09:59
  File "/home/darinka/AutoIntent/.venv/lib/python3.10/site-packages/numpy/_core/fromnumeric.py", line 69, in _wrapreduction
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    def _wrapreduction(obj, ufunc, method, axis, dtype, out, **kwargs):
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