Fix evaluation control-flow regressions

[FlorianPfaff]

Summary

• fix Kalman-filter evaluation prediction with inputs so the process covariance matrix is passed instead of the noise distribution object
• honor use_likelihood=True in perform_predict_update_cycles by dispatching to likelihood-capable filters
• make MTT measurement generation accept the per-step/object-array ground-truth representation produced by generate_simulated_scenarios
• fix the plotting prediction guard to use n_timesteps instead of the nonexistent timesteps key
• normalize EOT meas_per_step configs to n_meas_at_individual_time_step so checked configs match measurement generation
• default missing mtt/eot flags in plain custom configs before accessing them
• add focused regression tests for the evaluation control-flow bugs

Validation

• Added tests/test_evaluation_control_flow_regressions.py
• MegaLinter passed on prior PR heads; latest checks are still running/pending after the newest regression commit
• Package/docs jobs passed on prior PR heads
• Did not run the full suite locally in this environment

[github-actions]

✅MegaLinter analysis: Success

Descriptor	Linter	Files	Fixed	Errors	Warnings	Elapsed time
✅ COPYPASTE	jscpd	yes		no	no	28.36s
✅ PYTHON	black	5	1	0	0	1.96s
✅ PYTHON	isort	5	1	0	0	0.45s
✅ REPOSITORY	checkov	yes		no	no	32.71s
✅ REPOSITORY	gitleaks	yes		no	no	17.23s
✅ REPOSITORY	git_diff	yes		no	no	0.1s
✅ REPOSITORY	secretlint	yes		no	no	10.28s
✅ REPOSITORY	syft	yes		no	no	2.25s
✅ REPOSITORY	trivy-sbom	yes		no	no	3.54s
✅ REPOSITORY	trufflehog	yes		no	no	22.75s

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[github-actions]

Test Results

     7 files   -     3       7 suites   - 3   1h 45m 56s ⏱️ - 54m 29s
 1 959 tests +    3   1 948 ✅  -     4     11 💤 +    7  0 ❌ ±0 
14 045 runs   - 5 940  11 574 ✅  - 4 830  2 471 💤  - 1 110  0 ❌ ±0 

Results for commit eb080b4. ± Comparison against base commit d13d78e.

This pull request skips 7 tests.

tests.test_backend_contracts ‑ test_pytorch_to_numpy_detaches_tensors_requiring_grad
tests.test_backend_interface.TestBackendInterface ‑ test_pytorch_choice_without_replacement_returns_unique_values
tests.test_pytorch_backend.TestPytorchBackendCov ‑ test_cov_bias_true_defaults_to_equal_weights
tests.test_pytorch_backend.TestPytorchBackendCov ‑ test_cov_bias_true_normalizes_aweights_without_mutating
tests.test_pytorch_backend.TestPytorchBackendStd ‑ test_std_accepts_keepdims_and_dtype
tests.test_pytorch_backend.TestPytorchBackendStd ‑ test_std_accepts_numpy_style_axis_and_ddof
tests.test_pytorch_backend.TestPytorchBackendStd ‑ test_std_rejects_conflicting_ddof_and_correction