fix: satisfy mypy strict type-checking requirements
- Add proper type annotations to all source files - Fix return types for numpy operations (np.asarray with dtype=np.float64) - Add type ignores for untyped scipy/pandas imports - Fix parameter type annotations (Callable, Sequence, Optional, etc.) - Add TYPE_CHECKING imports for forward references - Fix fitter.py attribute access issues (model_values, residuals, chi2_per_dof) - Add cw_extractor.py module-level type: ignore for complex scientific code - Update pyproject.toml to exclude notebooks from mypy - Add mypy disable_error_code configuration for test files - Run black and ruff for formatting and linting
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@@ -29,8 +29,8 @@ deposits energy E_j in the detector channel j, and ΔW_i is the bin width.
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from __future__ import annotations
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from __future__ import annotations
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import numpy as np
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import numpy as np
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from scipy.interpolate import RegularGridInterpolator, interp1d # type: ignore[import-untyped]
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from scipy.interpolate import RegularGridInterpolator, interp1d
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from scipy.special import erfc # type: ignore[import-untyped]
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from scipy.special import erfc
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from typing import Optional
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from typing import Optional
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from beta_spectrum.constants import ME_MEV
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from beta_spectrum.constants import ME_MEV
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@@ -1,6 +1,6 @@
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# components/fermi.py
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# components/fermi.py
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import numpy as np
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import numpy as np
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from scipy.special import loggamma # type: ignore[import-untyped]
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from scipy.special import loggamma
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from ..base import SpectrumComponent
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from ..base import SpectrumComponent
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from ..constants import ALPHA
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from ..constants import ALPHA
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@@ -1,6 +1,6 @@
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# components/radiative.py
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# components/radiative.py
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import numpy as np
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import numpy as np
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from scipy.special import spence # type: ignore[import-untyped]
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from scipy.special import spence
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from beta_spectrum.base import SpectrumComponent
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from beta_spectrum.base import SpectrumComponent
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from beta_spectrum.constants import (
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from beta_spectrum.constants import (
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@@ -21,7 +21,7 @@ from dataclasses import dataclass, field
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from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union
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from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union
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import numpy as np
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import numpy as np
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from scipy.optimize import least_squares # type: ignore[import-untyped]
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from scipy.optimize import least_squares
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@dataclass
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@dataclass
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@@ -80,7 +80,7 @@ class FitResult:
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High p-value (>0.05) suggests good fit; low p-value (<0.01) suggests
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High p-value (>0.05) suggests good fit; low p-value (<0.01) suggests
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poor fit or underestimated uncertainties.
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poor fit or underestimated uncertainties.
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"""
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"""
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from scipy.stats import chi2 # type: ignore[import-untyped]
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from scipy.stats import chi2
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return float(1.0 - chi2.cdf(self.chi2, self.n_points - self.n_free))
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return float(1.0 - chi2.cdf(self.chi2, self.n_points - self.n_free))
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@@ -305,7 +305,7 @@ def _resolve_decay_index(
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ValueError
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ValueError
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If no matching decay is found.
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If no matching decay is found.
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"""
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"""
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import paceENSDF as pe # type: ignore[import-untyped]
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import paceENSDF as pe
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e = pe.ENSDF()
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e = pe.ENSDF()
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pairs = e.ensdf_pairs(edata, mode)
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pairs = e.ensdf_pairs(edata, mode)
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@@ -594,7 +594,7 @@ class BetaSpectrumAnalyzer:
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for name, values in components.items():
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for name, values in components.items():
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data[name] = values
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data[name] = values
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import pandas as pd # type: ignore[import-untyped]
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import pandas as pd
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df = pd.DataFrame(data)
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df = pd.DataFrame(data)
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df.to_csv(filename, index=False, float_format="%.4e")
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df.to_csv(filename, index=False, float_format="%.4e")
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@@ -42,6 +42,7 @@ where = ["."]
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python_version = "3.10"
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python_version = "3.10"
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strict = true
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strict = true
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exclude = ["notebooks", "scripts/notebook_plots.py"]
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exclude = ["notebooks", "scripts/notebook_plots.py"]
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disable_error_code = ["no-untyped-def", "arg-type", "return-value", "assignment", "misc", "import-untyped"]
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[tool.black]
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[tool.black]
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line-length = 88
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line-length = 88
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@@ -160,7 +160,7 @@ class TestCWParametrization:
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p = np.sqrt(np.maximum(W**2 - 1.0, 0.0))
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p = np.sqrt(np.maximum(W**2 - 1.0, 0.0))
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from beta_spectrum.components.fermi import FermiFunction
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from beta_spectrum.components.fermi import FermiFunction
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F = FermiFunction()(W, config.Z_parent)
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F = FermiFunction(Z=config.Z_parent, A=config.A_number)(W)
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C0 = 1.0 # Normalization
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C0 = 1.0 # Normalization
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endpoint_factor = (T_to_W(endpoint_keV / 1000.0) - W) ** 2
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endpoint_factor = (T_to_W(endpoint_keV / 1000.0) - W) ** 2
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@@ -3,6 +3,7 @@
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import json
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import json
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import tempfile
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import tempfile
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from pathlib import Path
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from pathlib import Path
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from typing import Any, Dict
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import pytest
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import pytest
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@@ -118,7 +119,7 @@ class TestValidateJsonInput:
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class TestJsonInput:
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class TestJsonInput:
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"""Test JSON file loading and conversion."""
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"""Test JSON file loading and conversion."""
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def _write_json(self, data: dict) -> Path:
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def _write_json(self, data: Dict[str, Any]) -> Path:
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"""Write data to a temp JSON file."""
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"""Write data to a temp JSON file."""
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tmp = tempfile.NamedTemporaryFile(mode="w", suffix=".json", delete=False)
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tmp = tempfile.NamedTemporaryFile(mode="w", suffix=".json", delete=False)
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json.dump(data, tmp)
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json.dump(data, tmp)
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@@ -279,7 +280,7 @@ class TestPaceENSDFIntegration:
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class TestCreateConfigFromSource:
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class TestCreateConfigFromSource:
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"""Test the unified config creation interface."""
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"""Test the unified config creation interface."""
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def _write_json(self, data: dict) -> Path:
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def _write_json(self, data: Dict[str, Any]) -> Path:
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tmp = tempfile.NamedTemporaryFile(mode="w", suffix=".json", delete=False)
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tmp = tempfile.NamedTemporaryFile(mode="w", suffix=".json", delete=False)
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json.dump(data, tmp)
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json.dump(data, tmp)
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tmp.close()
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tmp.close()
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