tests(refactor): use default factory of Field class instead of []

Usage of `[]` can cause issues because of closure

tests/conftest.py

@@ -1,12 +1,13 @@
 import pytest
+from pydantic import Field
 
 from qualibrate import NodeParameters, QualibrationNode
 
 
 @pytest.fixture
 def node():
     class Parameters(NodeParameters):
-        qubits: list[str] = []
+        qubits: list[str] = Field(default_factory=list)
 
         str_value: str = "test"
         int_value: int = 1

tests/integration/example_calibration_scripts/0_basic_node.py

@@ -1,8 +1,10 @@
+from pydantic import Field
+
 from qualibrate import NodeParameters, QualibrationNode
 
 
 class Parameters(NodeParameters):
-    qubits: list[str] = []
+    qubits: list[str] = Field(default_factory=list)
 
 
 node = QualibrationNode("basic_node", parameters=Parameters())

tests/integration/example_calibration_scripts/1_node_with_partial_outcomes.py

@@ -1,12 +1,14 @@
 from typing import ClassVar
 
+from pydantic import Field
+
 from qualibrate import NodeParameters, QualibrationNode
 from qualibrate.models.outcome import Outcome
 
 
 class Parameters(NodeParameters):
     targets_name: ClassVar[str] = "qubits"
-    qubits: list[str] = ["q0", "q1", "q2"]
+    qubits: list[str] = Field(default_factory=lambda: ["q0", "q1", "q2"])
 
 
 node = QualibrationNode("node_part_outcome", parameters=Parameters())

tests/integration/test_orchestration/calibrations/01_first_node.py

@@ -1,9 +1,11 @@
+from pydantic import Field
+
 from qualibrate import NodeParameters, QualibrationNode
 from qualibrate.models.outcome import Outcome
 
 
 class Parameters(NodeParameters):
-    qubits: list[str] = []
+    qubits: list[str] = Field(default_factory=list)
 
     str_value: str = "test"
 

tests/integration/test_orchestration/calibrations/02_second_node.py

@@ -1,9 +1,11 @@
+from pydantic import Field
+
 from qualibrate import NodeParameters, QualibrationNode
 from qualibrate.models.outcome import Outcome
 
 
 class Parameters(NodeParameters):
-    qubits: list[str] = []
+    qubits: list[str] = Field(default_factory=list)
 
     float_value: float = 1.0
 

tests/integration/test_orchestration/calibrations/03_third_node.py

@@ -1,8 +1,10 @@
+from pydantic import Field
+
 from qualibrate import NodeParameters, QualibrationNode
 
 
 class Parameters(NodeParameters):
-    qubits: list[str] = []
+    qubits: list[str] = Field(default_factory=list)
 
     int_value: int = 2
 

tests/integration/test_orchestration/calibrations/04_forth_node.py → tests/integration/test_orchestration/calibrations/04_fourth_node.py

@@ -1,8 +1,10 @@
+from pydantic import Field
+
 from qualibrate import QualibrationNode, NodeParameters
 
 
 class Parameters(NodeParameters):
-    qubits: list[str] = []
+    qubits: list[str] = Field(default_factory=list)
 
     sampling_points: int = 100
 

tests/integration/test_orchestration/test_basic_orchestrator.py

@@ -2,6 +2,7 @@
 from typing import Generator
 
 import pytest
+from pydantic import Field
 
 from qualibrate.models.execution_history import ExecutionHistoryItem
 from qualibrate.models.node_status import NodeStatus
@@ -24,7 +25,9 @@ def qualibration_lib() -> Generator[QualibrationLibrary, None, None]:
 @pytest.fixture
 def graph_params() -> GraphParameters:
     class GP(GraphParameters):
-        qubits: list[str] = ["q1", "q2", "q3", "q4"]
+        qubits: list[str] = Field(
+            default_factory=lambda: ["q1", "q2", "q3", "q4"]
+        )
         retries: int = 2
 
     return GP()

tests/integration/test_qualibration_graph/calibrations/01_test_state_updates.py

@@ -1,8 +1,10 @@
+from pydantic import Field
+
 from qualibrate import NodeParameters, QualibrationNode
 
 
 class Parameters(NodeParameters):
-    qubits: list[str] = []
+    qubits: list[str] = Field(default_factory=list)
     str_value: str = "test"
     int_value: int = 1
     float_value: float = 1.0

tests/integration/test_qualibration_graph/calibrations/02_node.py

@@ -1,8 +1,10 @@
+from pydantic import Field
+
 from qualibrate import NodeParameters, QualibrationNode
 
 
 class Parameters(NodeParameters):
-    qubits: list[str] = []
+    qubits: list[str] = Field(default_factory=list)
 
     str_value: str = "test"
     float_value: float = 1.0

tests/integration/test_qualibration_graph/calibrations/05_test_cal.py

@@ -1,3 +1,5 @@
+from pydantic import Field
+
 from qualibrate import QualibrationNode, NodeParameters
 from quam.components import *
 import numpy as np
@@ -6,7 +8,7 @@
 
 
 class Parameters(NodeParameters):
-    qubits: list[str] = []
+    qubits: list[str] = Field(default_factory=list)
 
     resonator: str = "q1.resonator"
     sampling_points: int = 100

tests/integration/test_qualibration_graph/test_graph.py

@@ -2,6 +2,7 @@
 from typing import Any, Generator, Sequence
 
 import pytest
+from pydantic import Field
 
 from qualibrate.orchestration.qualibration_orchestrator import (
     QualibrationOrchestrator,
@@ -23,7 +24,7 @@ def qualibration_lib() -> Generator[QualibrationLibrary, None, None]:
 @pytest.fixture
 def graph_params() -> GraphParameters:
     class GP(GraphParameters):
-        qubits: list[str] = []
+        qubits: list[str] = Field(default_factory=list)
         retries: int = 2
 
     return GP(retries=1)