3.12

Author: soodoku

docs/evaluate_budget_sensitivity.py

@@ -7,8 +7,6 @@
 Key insight: Optimal methods should show larger gains with tighter budgets.
 """
 
-from __future__ import annotations
-
 import sys
 from dataclasses import dataclass
 from pathlib import Path

docs/evaluate_random_vs_methods.py

@@ -17,8 +17,6 @@
 - Computational time
 """
 
-from __future__ import annotations
-
 import sys
 import time
 from dataclasses import dataclass

fewlab/balanced.py

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 from typing import cast
 
 import numpy as np

fewlab/calibration.py

@@ -5,8 +5,6 @@
 techniques for adjusting sampling weights to match known population totals.
 """
 
-from __future__ import annotations
-
 from collections.abc import Sequence
 
 import numpy as np
@@ -16,7 +14,7 @@
 from .utils import get_item_positions
 
 # Type alias for item selection types (Python 3.12+)
-type ItemSelection = Sequence[str] | pd.Index
+ItemSelection = Sequence[str] | pd.Index
 
 
 def calibrate_weights(

fewlab/core.py

@@ -1,19 +1,18 @@
-from __future__ import annotations
-
 from dataclasses import dataclass
 from typing import TYPE_CHECKING
 
 import numpy as np
 import pandas as pd
 
 if TYPE_CHECKING:
-    from .results import ProbabilityResult, SelectionResult
+    pass
 
 from .constants import (
     CONDITION_THRESHOLD,
     PI_MIN_DEFAULT,
     SMALL_RIDGE,
 )
+from .results import ProbabilityResult, SelectionResult
 
 
 @dataclass(slots=True)

fewlab/design.py

@@ -6,8 +6,6 @@
 influence computations and provides comprehensive diagnostics.
 """
 
-from __future__ import annotations
-
 from typing import TYPE_CHECKING, Any, Literal
 
 import numpy as np
@@ -29,13 +27,15 @@
 
 # Import result classes at the end to avoid circular imports
 if TYPE_CHECKING:
-    from .results import (
-        CoreTailResult,
-        EstimationResult,
-        ProbabilityResult,
-        SamplingResult,
-        SelectionResult,
-    )
+    pass
+
+from .results import (
+    CoreTailResult,
+    EstimationResult,
+    ProbabilityResult,
+    SamplingResult,
+    SelectionResult,
+)
 
 
 class Design:
@@ -58,6 +58,8 @@ class Design:
         20
     """
 
+    _last_budget_violation: dict[str, Any] | None
+
     def __init__(
         self,
         counts: pd.DataFrame,

fewlab/greedy.py

@@ -1,15 +1,14 @@
-from __future__ import annotations
-
 from typing import TYPE_CHECKING
 
 import numpy as np
 import pandas as pd
 
 if TYPE_CHECKING:
-    from .results import SelectionResult
+    pass
 
 from .constants import SMALL_RIDGE
 from .core import _influence
+from .results import SelectionResult
 from .validation import (
     validate_budget,
     validate_counts_matrix,

fewlab/hybrid.py

@@ -5,8 +5,6 @@
 deterministic high-influence selection with balanced probabilistic sampling.
 """
 
-from __future__ import annotations
-
 import numpy as np
 import pandas as pd
 

fewlab/results.py

@@ -5,8 +5,6 @@
 and dict-based returns with direct attribute access for better API consistency.
 """
 
-from __future__ import annotations
-
 from dataclasses import dataclass
 from typing import Any
 

fewlab/rowse.py

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 import warnings
 
 import numpy as np