fix: adapt all calls of ZeMASamples to most recent version v0.7.0 of zema_emc_annotated

src/lp_nn_robustness_verification/examples/solve_instances_in_parallel.py

@@ -2,6 +2,7 @@
 import sys
 
 import yappi  # type: ignore[import]
+from zema_emc_annotated.data_types import SampleSize  # type: ignore[import]
 from zema_emc_annotated.dataset import ZeMASamples  # type: ignore[import]
 
 from lp_nn_robustness_verification.data_acquisition.activation_functions import (
@@ -38,7 +39,9 @@ def solve_and_store_timed_solutions(task_id: int) -> None:
         out_features = size_scaler * 11 - depth
     else:
         out_features = 10
-    zema_data = ZeMASamples(100, size_scaler, True)
+    zema_data = ZeMASamples(
+        SampleSize(0, 100, datapoints_per_cycle=size_scaler), normalize=True
+    )
     print(
         f"Trying to solve for {size_scaler * 11} inputs and {depth} "
         f"{'layers' if depth > 1 else 'layer'}"

src/lp_nn_robustness_verification/examples/solve_one_instance.py

@@ -15,6 +15,7 @@ We might add command line parameters at a later time. For now please edit the ma
 function at the very bottom of this file to change inputs.
 """
 import yappi  # type: ignore[import]
+from zema_emc_annotated.data_types import SampleSize  # type: ignore[import]
 from zema_emc_annotated.dataset import ZeMASamples  # type: ignore[import]
 
 from lp_nn_robustness_verification.data_acquisition.activation_functions import Sigmoid
@@ -34,7 +35,7 @@ def optimize() -> None:
     """Solve one specific hard coded instance and time the process"""
     samples_per_sensor = 10
     depth = 1
-    zema_data = ZeMASamples(size_scaler=samples_per_sensor, normalize=True)
+    zema_data = ZeMASamples(SampleSize(datapoints_per_cycle=samples_per_sensor), True)
     nn_params = generate_weights_and_biases(
         len(zema_data.values[0]),
         construct_out_features_counts(len(zema_data.values[0]), depth=depth),

tests/test_linear_program.py

@@ -5,6 +5,7 @@ import pytest
 from _pytest.capture import CaptureFixture
 from numpy.ma.testutils import assert_almost_equal
 from numpy.testing import assert_equal
+from zema_emc_annotated.data_types import SampleSize  # type: ignore[import]
 from zema_emc_annotated.dataset import ZeMASamples  # type: ignore[import]
 
 from lp_nn_robustness_verification.data_acquisition.activation_functions import (
@@ -67,7 +68,9 @@ def compute_linear_inclusion_for_instance() -> Callable[
     def compute_linear_inclusion(
         size_scaler: int, depth: int, sample_idx: int, seed: int
     ) -> LinearInclusion:
-        zema_data = ZeMASamples(4766, size_scaler, True)
+        zema_data = ZeMASamples(
+            SampleSize(n_cycles=4766, datapoints_per_cycle=size_scaler), normalize=True
+        )
         uncertain_inputs = UncertainInputs(
             UncertainArray(
                 zema_data.values[sample_idx], zema_data.uncertainties[sample_idx]