- 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 - Run black and ruff for formatting and linting
40 lines
952 B
Python
40 lines
952 B
Python
# utils.py
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from typing import Union
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import numpy as np
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from .constants import HBAR_C_MEV_FM, ME_MEV, R0_FM
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Real = Union[float, np.ndarray]
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def nuclear_radius(A: float, r0: float = R0_FM) -> float:
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R_fm = float(r0 * A ** (1 / 3))
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return R_fm / (HBAR_C_MEV_FM / ME_MEV)
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def momentum(W: Real, rest_mass: float = 1.0) -> np.ndarray:
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"""
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Helper function to get momentum value from energy.
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Args:
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W: Array of full particle energy values in natural units
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rest_mass: rest mass of the particle in natural units (m_e = 1 by default for electron)
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Returns:
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Array of particle momentum values.
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"""
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return np.sqrt(W**2 - rest_mass**2)
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def neutrino_energy(W: Real, W0: Real) -> Real:
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return W0 - W
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def W_to_T(W: Real) -> np.ndarray:
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return np.asarray((W - 1.0) * ME_MEV, dtype=np.float64)
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def T_to_W(T_MeV: Real) -> np.ndarray:
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return np.asarray(T_MeV / ME_MEV + 1.0, dtype=np.float64)
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