EOT evaluation with test

[FlorianPfaff]

No description provided.

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Detailed Issues

❌ PYTHON / pylint - 1 error

************* Module pyrecest.tests.test_evaluation_eot
pyrecest/tests/test_evaluation_eot.py:8:4: E1101: Module 'pyrecest' has no 'backend' member (no-member)

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Test Results

    12 files  ± 0     12 suites  ±0   4h 36m 15s ⏱️ + 7m 5s
   986 tests + 1    986 ✅ +1      0 💤 ±0  0 ❌ ±0 
12 116 runs  +12  9 376 ✅ +4  2 740 💤 +8  0 ❌ ±0 

Results for commit 7e756db. ± Comparison against base commit 4dbfd43.

♻️ This comment has been updated with latest results.

[FlorianPfaff]

@copilot Can you fix this?

=================================== FAILURES ===================================
_____ TestEvalationEOT.test_evaluate_for_simulation_config_R2_random_walk ______
pyrecest/tests/test_evaluation_basic.py:50: in setUp
simulation_config = simulation_database(self.scenario_name)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

---

scenario_name = 'R2randomWalkEOT', scenario_customization_params = None

@beartype
def simulation_database(
    scenario_name: str = "custom", scenario_customization_params: Optional[dict] = None
) -> dict:
    simulation_param: dict = {
        "n_timesteps": None,
        "all_seeds": None,
        "eot": False,
        "mtt": False,
        "n_targets": 1,
    }

    if scenario_name == "custom":
        warnings.warn(
            "Scenario not recognized. Assuming scenario_customization_params contains all parameters."
        )
        assert scenario_customization_params is not None
        simulation_param.update(scenario_customization_params)
    elif scenario_name == "R2randomWalk":
        simulation_param["manifold"] = "Euclidean"
        simulation_param["n_timesteps"] = 10
        simulation_param["initial_prior"] = GaussianDistribution(zeros(2), 0.5 * eye(2))
        simulation_param["meas_noise"] = GaussianDistribution(zeros(2), 0.5 * eye(2))
        simulation_param["sys_noise"] = GaussianDistribution(zeros(2), 0.5 * eye(2))
        simulation_param["gen_next_state_without_noise_is_vectorized"] = True
    else:

      raise ValueError("Scenario not recognized.")

E ValueError: Scenario not recognized.

pyrecest/evaluation/simulation_database.py:37: ValueError
=============================== warnings summary ===============================
pyrecest/tests/distributions/test_hypertoroidal_grid_distribution.py::HypertoroidalGridDistributionTest::test_get_grid
pyrecest/tests/distributions/test_td_cond_td_grid_distribution.py::TdCondTdGridDistributionTest::test_fix_dim_returns_hgd
pyrecest/tests/distributions/test_td_cond_td_grid_distribution.py::TdCondTdGridDistributionTest::test_from_function_fix_dim_roundtrip
pyrecest/tests/distributions/test_td_cond_td_grid_distribution.py::TdCondTdGridDistributionTest::test_marginalize_out_returns_hgd
pyrecest/tests/distributions/test_td_cond_td_grid_distribution.py::TdCondTdGridDistributionTest::test_marginalize_out_sums
/home/runner/work/PyRecEst/PyRecEst/pyrecest/distributions/abstract_grid_distribution.py:87: UserWarning: Warning: Grid values apparently do not belong to a normalized density. Normalizing...
warnings.warn(

pyrecest/tests/distributions/test_s2_cond_s2_grid_distribution.py::TestS2CondS2GridDistributionFromFunction::test_equal_with_and_without_cart
/home/runner/work/PyRecEst/PyRecEst/pyrecest/distributions/conditional/sd_cond_sd_grid_distribution.py:76: UserWarning: Normalization:notNormalized: When conditioning values for the first sphere on the second, normalisation is not ensured. Check input or increase tolerance. No normalisation is performed; you may want to do this manually.
warnings.warn(

pyrecest/tests/distributions/test_td_cond_td_grid_distribution.py::TdCondTdGridDistributionTest::test_from_function_cartesian_product_flag
pyrecest/tests/distributions/test_td_cond_td_grid_distribution.py::TdCondTdGridDistributionTest::test_from_function_fix_dim_roundtrip
pyrecest/tests/distributions/test_td_cond_td_grid_distribution.py::TdCondTdGridDistributionTest::test_from_function_t1
/home/runner/work/PyRecEst/PyRecEst/pyrecest/distributions/conditional/td_cond_td_grid_distribution.py:66: UserWarning: Normalization:notNormalized: When conditioning values for the first torus on the second, normalisation is not ensured. Check input or increase tolerance. No normalisation is performed; you may want to do this manually.
warnings.warn(

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html

• generated xml file: /home/runner/work/PyRecEst/PyRecEst/junit_test_results_numpy.xml -
  =========================== short test summary info ============================
  FAILED pyrecest/tests/test_evaluation_eot.py::TestEvalationEOT::test_evaluate_for_simulation_config_R2_random_walk - ValueError: Scenario not recognized.
  == 1 failed, 740 passed, 9 warnings, 44 subtests passed in 442.38s (0:07:22) ===

[Copilot]

@copilot Can you fix this?

=================================== FAILURES ===================================
...

Fixed in commit 617df00. The changes add the missing R2randomWalkEOT scenario to simulation_database.py and wire up the EOT evaluation pipeline:

1. simulation_database.py: Added R2randomWalkEOT scenario with the required EOT parameters (target shape, sampling style, measurement counts, filter parameters).
2. configure_for_filter.py: Added random_matrix filter case that initializes a RandomMatrixTracker from the scenario config.
3. perform_predict_update_cycles.py: Added EOT-specific update path that passes all measurements at once to tracker.update().
4. abstract_extended_object_tracker.py: Added filter_state property returning self so the tracker integrates with the evaluation pipeline.
5. generate_measurements.py: Fixed a bug where the PolygonWithSampling class check was applied to the original shape instead of the translated curr_shape (shapely's translate always returns a plain Polygon).

[FlorianPfaff]

@copilot Suppress the too-many warnings and solve the rest

************* Module pyrecest.evaluation.configure_for_filter
pyrecest/evaluation/configure_for_filter.py:11:0: R0914: Too many local variables (17/15) (too-many-locals)
************* Module pyrecest.tests.test_evaluation_eot
pyrecest/tests/test_evaluation_eot.py:15:12: W0612: Unused variable 'last_filter_states' (unused-variable)
pyrecest/tests/test_evaluation_eot.py:16:12: W0612: Unused variable 'runtimes' (unused-variable)
pyrecest/tests/test_evaluation_eot.py:17:12: W0612: Unused variable 'run_failed' (unused-variable)
pyrecest/tests/test_evaluation_eot.py:18:12: W0612: Unused variable 'groundtruths' (unused-variable)
pyrecest/tests/test_evaluation_eot.py:19:12: W0612: Unused variable 'measurements' (unused-variable)
pyrecest/tests/test_evaluation_eot.py:20:12: W0612: Unused variable 'scenario_config' (unused-variable)
pyrecest/tests/test_evaluation_eot.py:21:12: W0612: Unused variable 'filter_configs' (unused-variable)
pyrecest/tests/test_evaluation_eot.py:22:12: W0612: Unused variable 'evaluation_config' (unused-variable)
************* Module update_init_helper
update_init_helper.py:1:0: R0801: Similar lines in 2 files
==pyrecest.tests.test_evaluation_basic:[443:463]
==pyrecest.tests.test_evaluation_eot:[11:31]
]

    (
        last_filter_states,  # pylint: disable=R0801
        runtimes,  # pylint: disable=R0801
        run_failed,  # pylint: disable=R0801
        groundtruths,  # pylint: disable=R0801
        measurements,  # pylint: disable=R0801
        scenario_config,  # pylint: disable=R0801
        filter_configs,  # pylint: disable=R0801
        evaluation_config,  # pylint: disable=R0801
    ) = evaluate_for_simulation_config(
        self.scenario_name,
        filters_configs_input,
        n_runs=self.n_runs_default,
        n_timesteps=self.n_timesteps_default,
        initial_seed=1,
        auto_warning_on_off=False,
        save_folder=self.tmpdirname.name,
    ) (duplicate-code)

---

Your code has been rated at 9.99/10

[Copilot]

@copilot Suppress the too-many warnings and solve the rest

************* Module pyrecest.evaluation.configure_for_filter
...

Fixed in commit d6c6232:

• Added # pylint: disable=too-many-locals to configure_for_filter.py
• Simplified test_evaluation_eot.py to call evaluate_for_simulation_config without capturing the return values (all 8 unused-variable warnings resolved)