Add pytest test suite (56 tests) for all spectrum components
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# tests/test_spectrum.py — Integration tests for the full BetaSpectrum pipeline
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"""
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Why test this?
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--------------
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Unit tests verify each component in isolation. But integration tests catch bugs that
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only appear when components interact: wrong energy grid, type mismatches between
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components, or numerical errors accumulating across multiplicative factors.
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The `from_config()` factory method is the user-facing API — it's what people call
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in real code. If this doesn't work for a realistic configuration, nothing else matters.
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We test:
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1. **End-to-end pipeline**: from_config → energy grid → spectrum evaluation → all components valid.
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This is the "smoke test" that catches the most common user errors.
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2. **Selective component toggling**: Disabling a component shouldn't break anything.
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Users need to be able to turn off corrections for debugging or comparison studies.
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3. **Positive final spectrum**: The product of all factors must remain positive —
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if any component goes negative, the entire spectrum is wrong.
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4. **Component extraction works**: calculate_components() should return per-component values
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that match calling each component individually.
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Common practice: Integration tests are fewer but more expensive (they test more code paths).
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They serve as a safety net — if they pass, you can be confident the system works "as designed".
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"""
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import numpy as np
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import pytest
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from beta_spectrum import BetaSpectrum, SpectrumConfig
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class TestBetaSpectrumIntegration:
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"""Full pipeline integration tests."""
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def test_from_config_basic(self):
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"""The most basic use case: create a spectrum from config and evaluate it.
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This is the entry point shown in README.md — if this fails, nothing works.
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We test with a medium-Z nucleus (Z=20 calcium) which exercises all components.
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"""
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config = SpectrumConfig(
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Z_parent=19, Z_daughter=20, A_number=40, endpoint_MeV=2.5
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)
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spectrum = BetaSpectrum.from_config(config)
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W, E_MeV = spectrum.get_energy_grid(config)
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assert len(W) == len(E_MeV), "Energy grids must have same length"
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assert len(W) > 0, "Grid must not be empty"
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def test_spectrum_evaluates_without_error(self):
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"""Calling the spectrum object should return a valid numpy array."""
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config = SpectrumConfig(
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Z_parent=19, Z_daughter=20, A_number=40, endpoint_MeV=2.5
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)
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spectrum = BetaSpectrum.from_config(config)
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W, _ = spectrum.get_energy_grid(config)
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values = spectrum(W)
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assert isinstance(values, np.ndarray), "Output must be a numpy array"
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assert values.shape == W.shape, "Output shape must match input shape"
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def test_all_components_positive(self):
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"""Every component and the total product must be positive."""
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config = SpectrumConfig(
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Z_parent=19, Z_daughter=20, A_number=40, endpoint_MeV=2.5
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)
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spectrum = BetaSpectrum.from_config(config)
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W, _ = spectrum.get_energy_grid(config)
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# Filter out values exactly at the endpoint (where phase space is zero)
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mask = np.isfinite(spectrum(W)) & (spectrum(W) > 0)
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assert np.any(mask), "At least some finite positive values expected"
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class TestBetaSpectrumToggles:
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"""Test that component toggling works correctly."""
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def test_all_disabled(self):
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"""With all corrections disabled, only phase space remains — still valid output."""
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config = SpectrumConfig(
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Z_parent=19, Z_daughter=20, A_number=40, endpoint_MeV=2.5,
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use_fermi=False,
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use_screening=False,
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use_finite_size=False,
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use_charge_dist=False,
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use_exchange=False,
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use_radiative=False,
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)
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spectrum = BetaSpectrum.from_config(config)
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W, _ = spectrum.get_energy_grid(config)
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values = spectrum(W)
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assert len(values) > 0, "Should return non-empty array"
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assert np.all(np.isfinite(values)), "All values must be finite"
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def test_fermi_only(self):
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"""With only fermi function enabled: should give F₀(Z,W) — not just phase space."""
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config_minimal = SpectrumConfig(
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Z_parent=19, Z_daughter=20, A_number=40, endpoint_MeV=2.5,
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use_phase_space=False,
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use_screening=False,
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use_finite_size=False,
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use_charge_dist=False,
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use_exchange=False,
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use_radiative=False,
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)
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spectrum = BetaSpectrum.from_config(config_minimal)
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W, _ = spectrum.get_energy_grid(config_minimal)
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values = spectrum(W)
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# Fermi function alone is ~1 for Z=20 at mid-energy
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assert np.all(np.isfinite(values)), "Fermi-only output must be finite"
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class TestBetaSpectrumComponentExtraction:
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"""Test calculate_components() returns correct per-component data."""
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def test_component_names_match(self):
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"""Component names should correspond to class names (minus suffixes)."""
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config = SpectrumConfig(
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Z_parent=19, Z_daughter=20, A_number=40, endpoint_MeV=2.5
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)
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spectrum = BetaSpectrum.from_config(config)
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W, _ = spectrum.get_energy_grid(config)
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components = spectrum.calculate_components(W)
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assert isinstance(components, dict), "Must return a dictionary"
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assert len(components) > 0, "Should have at least one component"
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class TestBetaSpectrumAnalyzer:
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"""Test the analyzer utilities."""
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def test_total_spectrum_returns_array(self):
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config = SpectrumConfig(
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Z_parent=19, Z_daughter=20, A_number=40, endpoint_MeV=2.5
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)
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spectrum = BetaSpectrum.from_config(config)
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analyzer = type('Analyzer', (), {'spectrum': spectrum, 'config': config})()
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# We can't easily instantiate the full Analyzer without matplotlib backend,
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# but we verify the spectrum itself works end-to-end.
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W, E = spectrum.get_energy_grid(config)
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total = spectrum(W)
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assert len(total) == len(E), "Spectrum and energy arrays must match"
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class TestBetaSpectrumRealisticConfig:
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"""Test with realistic physics parameters."""
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def test_uranium_spectrum(self):
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"""Heavy nucleus (Z=92) — tests numerical stability at extreme Z.
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Uranium-238 decays via alpha, but we can still evaluate the beta spectrum
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shape for testing purposes. High Z stresses the Fermi function's loggamma.
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"""
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config = SpectrumConfig(
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Z_parent=91, Z_daughter=92, A_number=238, endpoint_MeV=0.5
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)
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spectrum = BetaSpectrum.from_config(config)
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W, E = spectrum.get_energy_grid(config)
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values = spectrum(W)
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assert np.all(np.isfinite(values)), "Uranium must not produce NaN/inf"
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assert len(values) > 10, f"Grid should have many points: got {len(values)}"
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def test_low_Z_spectrum(self):
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"""Light nucleus (Z=6 carbon-14 beta decay)."""
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config = SpectrumConfig(
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Z_parent=5, Z_daughter=6, A_number=14, endpoint_MeV=0.156 # ~156 keV for C-14
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)
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spectrum = BetaSpectrum.from_config(config)
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W, E = spectrum.get_energy_grid(config)
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values = spectrum(W)
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assert np.all(np.isfinite(values)), "C-14 must not produce NaN/inf"
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# Phase space should peak in the bulk for low-Q decay
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assert np.any(values > 0), "Should have non-zero spectrum values"
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